The Latest: Doctor accused of performing unneeded surgeries
RICHMOND, Va. (AP) - The Latest on a Virginia doctor accused of performing unnecessary surgeries on his ob/gyn patients (all times local):
10:45 a.m.
A Virginia doctor accused of performing unnecessary surgical procedures on his patients has been ordered held without bail while he awaits trial.
Dr. Javaid Perwaiz was charged last week with health care fraud after authorities said he performed unneeded procedures on many of his patients, including hysterectomies and tubal ligations.
Magistrate Judge Robert Krask ordered Perwaiz held without bail Thursday after a prosecutor said 173 women have come forward since his arrest to describe similar experiences. The judge called the allegations “deeply disturbing.”
Perwaiz’s attorney said he has received a flood of unsolicited emails from patients praising and supporting the doctor.
The judge said that if the charges are proven, the doctor’s actions represent a “gross abuse of patient trust.”
1:16 a.m.
A Virginia doctor is headed to court to face allegations that he performed unnecessary surgical procedures on his patients.
Dr. Javaid Perwaiz, of Chesapeake, is due Thursday in U.S. District Court in Norfolk for a detention hearing. He was charged last week with health care fraud and making false statements relating to health care matters.
Prosecutors allege that the 69-year-old Perwaiz performed unneeded procedures on some of his patients without their knowledge or consent, including hysterectomies and tubal ligations. His lawyer did not return calls seeking comment on the charges.
A spokeswoman for the FBI in Norfolk said the FBI is encouraging anyone who believes they may have been a victim to call the FBI or send a tip through its website.
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{% extends 'iotmonitor/base.html' %} {% load tags_extras%} {% block content %} {% load static %}
{{ thing.description|linebreaksbr }}
{{ sensor.description|linebreaksbr }}
{% if sensor.reading_set.all %}| Date | Time | Value |
|---|---|---|
| {{reading.created_date|date:"d/m/Y "}} | {{reading.created_date|date:"H:i"}} | {{ reading.value|floatformat:2 }} |
| No reading has been recorded by this sensor yet |
Sorry, no sensor has been recorded for this {{ thing.type_of_thing.name }} yet. Please access the admin interface to add new sensors.
{% endfor %}


Eight Mile Plains 7 Days Shopping Centre
Justice Of The Peace
A Justice of the Peace in Eight Mile Plains visits the Espresso Hut on Tuesdays and Thursdays, between 11:00 am and 1:00 pm. Find other Justices Of The Peace in Eight Mile Plains.
Jobs at Eight Mile Plains Shopping Centre
We are a proud employer of Eight Mile Plains residents and workers from all over Logan and Brisbane. Please enquire directly with the stores for job opportunities.


About Me
Results-driven Computer Science professional with good technical skills, firm grasp of
business needs and understanding of user requirements gathering. Highly accomplished
in influencing decision-makers and driving profitability across multiple divisions, including
digital transformation, digitization, and customer services. Excellent communication and
planning abilities.
Education
Master’s Degree: Computer Science 2019-08 – 2021-06
Tecnológico de Monterrey - Monterrey, Nuevo León
97.9 average in the Mexico grading system, equivalent to 3.95 GPA.
Received a full scholarship from Tecn logico de Monterrey and CONACyT for
excellent performance during my bachelor's degree.
Bachelor’s Degree: Biomedical Engineering 2014-08 - 2019-05
Tecnológico de Monterrey - Monterrey, Nuevo León
91.2 average in the Mexico grading system, equivalent to 3.43 GPA.
Profesional Experience
Data Analyst - Academy 2021-05 – Current
Accenture, Monterrey, Nuevo León
Experience designing and developing dashboards in QlikView by extracting data
from various sources.
Developed ETL programs for supporting data extraction, transformations and
loading using Informatica Power Center.
Deployed quality SQL codes, stored procedures, views, functions, and triggers.
Data Science Consultant 2019-11 - 2021-06
Tecnológico de Monterrey - Monterrey, Nuevo León
Collaborated with Metalsa's stakeholders (Automotive Company) to construct a
classifier that ranked the failures of an automotive press for its resolution in the
shortest possible time.
The model decreased the duration of the faults by at least half, improving
efficiency and productivity of the press.
Research Assistant 2019-08 - 2021-06
Tecnológico de Monterrey - Monterrey, Nuevo León
Member of the research group of Data Science and Applied Mathematics.
Data analytical capabilities across different fields to influence the improvement of
processes and decision-making.
Business Intelligence Analyst 2019-06 - 2019-09
Hospitaria, Escobedo, Nuevo León
Hospital management indicators analyst, such as financial statistics,
occupancy rate and mean stay time.
Quality Management Intern 2018-08 - 2019-05
Hospitaria, Escobedo, Nuevo León
Biostatistics indicators analyst to fulfill quality standards.
Adviser on the application of flowcharts by the ISO 9001:2015 standards.
Research Intern 2017-08 - 2017-12
Bioana, San Pedro, Nuevo León
Supported research and development efforts to create new medical devices.
Human Machine Interface Developer Intern 2017-05 - 2017-07
Axell, Monterrey, Nuevo León
System Integrator dedicated to industrial automation. Developed human machine interface visualization projects.


When using css to style the way your html will look we use selectors to target certain elements or a whole range of elements on the web page. Once we have selected the element a certain style, or even a set of styles can be applied to that element. There are actually a whole range of selectors that developers can use to style their html but the two most common ones and the ones I’ll be discussing are “ID” and “Class”. Most new developers will ask the questions what is the difference between the two? This is what ill be answering below:
IDs are the selector that developers will use to select and style a Single element on their webpage. Each web page can only have one element with a single ID attribute, and so the ID selector can never be used to style more than one element. IDs are indented by using the hashtag symbol followed by the name you are assigning.
Class is the selector that developers will use to select and style as many element that they want and that they apply the class tag too. As I have explained above , IDs are unique and can only be applied to one element on a webpage, so this is where the difference is. Classes can be assigned and use to style multiple elements. If you use a class to define a style this style will be applied to any and all elements that share that class name. Classes are indented by using a dot followed by the name of the class.


Contributer Code of Conduct
This Code of Conduct is adaptedio.js CoC, adapted fromRust’s CoC.
- We are committed to providing a friendly, safe and welcoming environment for all, regardless of gender, sexual orientation, disability, ethnicity, religion, or similar personal characteristic.
- Please avoid using overtly sexual nicknames or other nicknames that might detract from a friendly, safe and welcoming environment for all.
- Please be kind and courteous. There’s no need to be mean or rude.
- Respect that people have differences of opinion and that every design or implementation choice carries a trade-off and numerous costs. There is seldom a right answer.
- Please keep unstructured critique to a minimum. If you have solid ideas you want to experiment with, make a fork and see how it works.
- We will exclude you from interaction if you insult, demean or harass anyone. That is not welcome behaviour. We interpret the term “harassment” as including the definition in the Citizen Code of Conduct; if you have any lack of clarity about what might be included in that concept, please read their definition. In particular, we don’t tolerate behavior that excludes people in socially marginalized groups.
- Private harassment is also unacceptable. No matter who you are, if you feel you have been or are being harassed or made uncomfortable by a community member, please contact one of the channel ops or any of the TC members immediately with a capture (log, photo, email) of the harassment if possible. Whether you’re a regular contributor or a newcomer, we care about making this community a safe place for you and we’ve got your back.
- Likewise any spamming, trolling, flaming, baiting or other attention-stealing behaviour is not welcome.
- Avoid the use of personal pronouns in code comments or documentation. There is no need to address persons when explaining code (e.g. “When the developer”)


[1]
in our experience the view of furniture and obliging.
[2]
in our experience the view of furniture and coffee making facilities but we found room.


Welcome to the Number Guess game.
Think to a number between 0 and 1023: I can guess it using 10 tries at most


instructions used to do some initializing such as storing some values of elements on stack so they
may be recovered at later times, while the instructions get to utilize those required elements
a group of instructions used to initialize a variable/register,
this determines the iterations done over the other instruction groups
does not influence significantly the time to execute the loop directly but by value,
*IMPORTANT NOTICE: must be present for the loop to function properly
used to represent the instructions constituting ones instructions set
Completely describes one instruction by specifying the following information:
1) instruction code as seen in assembler compiler
2) duration in T states
3) size in bytes
4) REGS affected
5) number of memory locations needed 0, or 2
6) is the stack pointer read or changed, and/or is the stack contents changed
7) is this instruction free to be used from the auto-generating code builder
the information 4-6 will be represented by a single object of the class Elements
*IMPORTANT NOTICE: this is different then the Instruction class that represents an abstract formulation of an executable
command in an assembler compiler.
use this constructor to make an InstructionMetadata object from the description read from a text file
the format of the data represented is given in the text file
out of all the instructions in the instruction set only a subset are available concerning the elements of the mP our delay
function is allowed to use, this array list contains only those instructions, they are the instructions that will be used
when generating out delay function
the group of instructions stored in an array list to provide dynamic adding and removing instructions
the order does not matter and does not have to be maintained
a function used to separate available instructions from the whole instruction set,
it checks whether the given comparator object contains all the resources required for a given instruction to execute
a function used to separate available instructions from the whole instruction set,
it checks whether the given comparator object contains all the resources required for a given instruction to execute


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object cetus.hir.TranslationUnit
public final class TranslationUnit
Represents a single source file of the program. A TranslationUnit is a collection of Declarations. The compilation of a Program may involve several TranslationUnits.
| Constructor Summary | |
|---|---|
TranslationUnit(java.lang.String input_filename)
Create an empty translation unit associated with a file. |
| Method Summary | |
|---|---|
void |
addDeclaration(Declaration decl)
Add a declaration to the end of the set of declarations and place the declared symbols in the symbol table. |
void |
addDeclarationAfter(Declaration ref,
Declaration decl)
Add a declaration after the reference declaration. |
void |
addDeclarationBefore(Declaration ref,
Declaration decl)
Add a declaration before the reference declaration. |
void |
addDeclarationFirst(Declaration decl)
Adds a new declaration decl at the head of the child list. |
boolean |
containsDeclaration(Declaration decl)
Checks if the symbol table contains the specified declaration. |
boolean |
containsSymbol(Symbol symbol)
Checks if the symbol table contains the specified symbol. |
static void |
defaultPrint(TranslationUnit t,
java.io.PrintWriter o)
Prints a translation unit to a stream without skipping the included headers. |
Declaration |
findSymbol(IDExpression name)
Retrieves the declaration for a symbol, possibly searching through parent symbol tables. |
java.util.List<Traversable> |
getChildren()
Provides access to the children of this object as a list. |
java.util.Set<Declaration> |
getDeclarations()
Returns the set of declarations declared within the symbol table object. |
Declaration |
getFirstDeclaration()
Returns the first declaration that comes right after header files. |
java.lang.String |
getInputFilename()
Returns the original filename for the translation unit. |
java.lang.String |
getOutputFilename()
Returns the new filename for the translation unit to be written to. |
Traversable |
getParent()
Provides access to the parent of this object. |
java.util.List<SymbolTable> |
getParentTables()
Returns a list of symbol tables that are parents of this table in the distributed symbol table graph. |
java.util.Set<Symbol> |
getSymbols()
Returns the set of declared symbols in the symbol table object. |
protected java.util.Map<IDExpression,Declaration> |
getTable()
Returns the internal look-up table for symbols. |
void |
print(java.io.File currentDir)
Prints this translation unit to the output file with which it is associated. |
void |
print(java.io.PrintWriter o)
Prints this translation unit to the given print writer. |
void |
removeChild(Traversable child)
Removes the specified child. |
void |
setChild(int index,
Traversable t)
Sets the indexth child of this object to t. |
static void |
setClassPrintMethod(java.lang.reflect.Method m)
Overrides the class print method, so that all subsequently created objects will use the supplied method. |
void |
setOutputFilename(java.lang.String output_filename)
Sets the output filename for the translation unit. |
void |
setParent(Traversable t)
Sets the parent program for this translation unit. |
void |
setPrintMethod(java.lang.reflect.Method m)
Overrides the print method for this object only. |
java.lang.String |
toString()
Returns a string representation of this translation unit. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public TranslationUnit(java.lang.String input_filename)
input_filename
- The file name for this TranslationUnit| Method Detail |
|---|
public void addDeclaration(Declaration decl)
SymbolTable
addDeclaration
in interface SymbolTable
decl
- The declaration to add.public void addDeclarationFirst(Declaration decl)
decl
- the new declaration to be added.
NotAnOrphanException
- if decl has a parent object.public void addDeclarationBefore(Declaration ref, Declaration decl)
SymbolTable
addDeclarationBefore
in interface SymbolTable
ref
- The reference point.decl
- The declaration to add.public void addDeclarationAfter(Declaration ref, Declaration decl)
SymbolTable
addDeclarationAfter
in interface SymbolTable
ref
- The reference point.decl
- The declaration to add.public Declaration getFirstDeclaration()
public java.lang.String toString()
toString
in class java.lang.Object
public Declaration findSymbol(IDExpression name)
SymbolTable
findSymbol
in interface SymbolTable
name
- The name of the symbol.public java.util.List<Traversable> getChildren()
Traversable
getChildren
in interface Traversable
public java.lang.String getInputFilename()
public java.lang.String getOutputFilename()
public Traversable getParent()
Traversable
getParent
in interface Traversable
public java.util.List<SymbolTable> getParentTables()
SymbolTable
getParentTables
in interface SymbolTable
protected java.util.Map<IDExpression,Declaration> getTable()
public static void defaultPrint(TranslationUnit t, java.io.PrintWriter o)
t
- The translation unit to print.o
- The writer on which to print the translation unit.public void print(java.io.File currentDir) throws java.io.FileNotFoundException
currentDir
- the target file object.
java.io.FileNotFoundException
- if an output file could not be opened.public void print(java.io.PrintWriter o)
print
in interface Printable
o
- the output print writer.public void removeChild(Traversable child)
Traversable
removeChild
in interface Traversable
child
- a reference to a child object that must match with ==.public void setChild(int index, Traversable t)
Traversable
setChild
in interface Traversable
public static void setClassPrintMethod(java.lang.reflect.Method m)
m
- The new print method.public void setOutputFilename(java.lang.String output_filename)
output_filename
- The output filename for the translation unit.public void setParent(Traversable t)
setParent
in interface Traversable
t
- The parent program.public void setPrintMethod(java.lang.reflect.Method m)
m
- The new print method.public java.util.Set<Symbol> getSymbols()
SymbolTable
getSymbols
in interface SymbolTable
public java.util.Set<Declaration> getDeclarations()
SymbolTable
getDeclarations
in interface SymbolTable
public boolean containsSymbol(Symbol symbol)
SymbolTable
containsSymbol
in interface SymbolTable
public boolean containsDeclaration(Declaration decl)
SymbolTable
containsDeclaration
in interface SymbolTable
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.
Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese.
Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.
Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly. Cheesy feet cauliflower cheese feta monterey jack brie ricotta cheese and wine cheddar. Babybel danish fontina squirty cheese who moved my cheese the big cheese emmental macaroni cheese hard cheese. Halloumi boursin red leicester cream cheese gouda jarlsberg.Blue castello cheese and biscuits caerphilly.


--- layout: page title: Projects subtitle: Things I have worked on. permalink: /projects/ ---
A web app that helps college students connect with their classmates by allowing them to create and search class discussion pages where anyone can post informative notes and links to group chats. Backend: Python, Django; Frontend: Bootstrap 4; Deployment: Heroku, PostgreSQL.
A modular python ranking algorithm that enables speedy ranking based on user set custom preferences. Currently working in a team of 3 to publish this as an open source project.
A weather app equipped with a clothing-suggestion algorithm that delivers a personalized weather forecast and suggests clothing based on the weather. Backend: Python, Django; Frontend: Bootstrap 4; Deployment: Heroku, PostgreSQL.


| Pic.Save | Part of Pic module |
| Syntax | Pic.Save (picID : int, fileName : string)
| ||||
| Description | Pic.Save is used to save a picture on the screen to a file. The fileNameparameter must give the format of the file:
| ||||
| Details | Various versions of Turing can save different formats of files. Turing 4.0.5 for Windows can save BMP. Unfortunately, due to strictly enforced patents on the GIF compression algorithm, Turing will not implement saving of GIF pictures until the patents expire in June 2004.
| ||||
| Details | If Pic.Save is passed an invalid picture ID, a fatal error occurs. If the Pic.Save call fails for other (non-fatal) reasons, Error.Last will return a non-zero value indicating the reason for the failure. Error.LastMsg will return a string which contains the textual version of the error.
| ||||
| Example | The program draws a graphic on the screen and then saves it as a BMP file.
var picID: int var x, y : int Draw.FillBox (50, 50, 150, 150, red) Draw.FillStar (50, 50, 150, 150, green) Draw.FillOval (100, 100, 50, 50, blue) picID := Pic.New (50, 50, 150, 150) Pic.Save (picID, "BMP:mypic.dat") Pic.Free (picID) | ||||
| Example | The following two programs save and load a file in BMP format.
% Program to save a picture in mypic.bmp var picID: int var x, y : int Draw.FillBox (50, 50, 150, 150, red) Draw.FillStar (50, 50, 150, 150, green) Draw.FillOval (100, 100, 50, 50, blue) picID := Pic.New (50, 50, 150, 150) Pic.Save (picID, "mypic.bmp") Pic.Free (picID)
% Program to load the picture back again and draw 50 copies var picID: int var x, y : int picID := Pic.FileNew ("mypic.bmp") for i : 1 .. 50 x := Rand.Int (0, maxx) % Random x y := Rand.Int (0, maxy) % Random y Pic.Draw (picID, x, y, picCopy) end for Pic.Free (picID) | ||||
| Status | Exported qualified. This means that you can only call the function by calling Pic.Save, not by calling Save.
|


WITNESS LIST Urban Affairs Committee February 19, 1998-10:00A Housing Issues For: Allen, Monique (TX Assn.Commun.Dev.Corp) Chandler, Danny (Dallas Cnty.Sheriffs Dp) Rollins, Sandy (TX Tenants' Union) Vaughn, Chester (Dal.Cnty.Health/Hum,Ser) On: Fisher, Phil (Rep. Dale Tillery) Loessberg, Rick (Dallas Cnty. Comm.Court) Y2K Probs./Validation For: Gallagher, Douglas R. (City of Allen) Rogers, Michael S. (City of Plano) On: Cross, Charles (Econ.Devel.Found.of TX) Hartrick, Fred (City of Dallas) Porterfield, Shannon (Dept.Informa.Resources) Ratliff, James B. (Mayor, City of Garland)


This command allows you to change between big-endian and little-endian mode. The sixth pane from the right indicates the current status - it displays LE for little-endian and BE for big-endian mode. This flag is also shown in the big-endian checkbox in the Calculator in the top left corner.
This mode affects some operations on the active file, but does not change the display at all. Note that this is a "per file" flag and when you re-open the same file that this flag will be restored.
It affects most commands in the "Operations" menu (where the endianness of the operation is important). This includes operations which use the current calculator value including binary operations and assignment. It is also is used for byte order when numbers are read from (or written to) file to (from) the calculator using the file access buttons.
Note that byte order is relevant even when you might not think so. For example, if performing a 16 Bit AND operation on the bytes 12 34 and the calculator contained 00FF (hex) the result would be 12 00 in little-endian mode or 00 34 in big-endian mode.
Shortcuts
Mouse: Double click the LE/BE indicator on the status bar


IWS - Feature Requests
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philippe chazee
Bio
Welcome. You just lost the game.
Projects
The path of the righteous man is beset of all sides by the iniquities of the selfish and the tyranny of evil me. Blessed is he who, in the name of the charity and good will, shepherds the weak through the valley of darkness, for he is truly his brother's keeper and the finder of lost children.  And you will know my name is the Lord when I lay my vengeance upon thee.
Ezekiel 25,17


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/auto.20derive.20has_to_string.html ---
RT, something like this in lean?
No, I don't think this one has a derive handler, although you could totally write one
If you don't mind going into meta
-land, you can derive has_reflect
for your type and use the following to just pretty-print the Lean expression that corresponds to a value of your type:
meta def to_string' {α : Type*} [has_reflect α] (x : α) : string := (to_fmt (reflect x)).to_string
has_reflect
asks me to provide a expr
for every value? Not sure how to do it for my type.
@Mario Carneiro yeah, it's just a very long type.
You write @[derive has_reflect]
above your type definition
I meant write a derive handler
@Simon Hudon very cool, thanks.
You're welcome
@Mario Carneiro Such a derive handler seems like a lot of work but I'm wondering if piggy backing on top of has_reflect
might help us be extra lazy
Last updated: Apr 24 2020 at 19:02 UTC


Rozdział 2 Wprowadzenie do badań internetowych
2.1 Źródła danych w statystyce
2.2 Internet
Pokrycie internetu oraz jego wykorzystanie w Europie oraz Polsce
# internet <- search_eurostat(pattern = 'internet')
# isoc_ci_ifp_iu -- Individuals - internet use
# isoc_ci_ifp_fu -- Individuals - frequency of internet use
# isoc_ci_im_i -- Individuals - mobile internet access
dane <- get_eurostat(id = 'isoc_ci_ifp_iu', type = 'label')
## Table isoc_ci_ifp_iu cached at /var/folders/zv/md_yv0r16q7btfjq3frjjscc0000gn/T//RtmpeLxki4/eurostat/isoc_ci_ifp_iu_date_label_TF.rds
dane %>%
filter(indic_is == 'Last internet use: in last 3 months' ,
year(time) %in% 2010:2016,
geo %in% c('Poland'),
ind_type %in% c('All Individuals', 'Individuals, 16 to 24 years old',
'Individuals, 25 to 34 years old',
'Individuals, 35 to 44 years old',
'Individuals, 45 to 54 years old',
'Individuals, 55 to 74 years old'),
unit == 'Percentage of individuals') %>%
select(ind_type, time, values) %>%
ggplot(data = .,
aes(x = time,
y = values,
group = ind_type,
colour = ind_type)) +
geom_line() +
xlab('Okres badania') +
ylab('Odsetek osób') +
scale_colour_brewer(name = 'Przekrój',palette = 'Paired') +
ggtitle('Odsetek korzystających z Internetu w ostatnich 3 miesiącach w Polsce')
2.3 Definicje
2.3.1 Definicje dotyczące badań
Za Bethlehem and Biffignandi (2011):
- Cross-sectional survey – A survey that observes a sample from the target population at one point in time. The objective is to describe the state of the population at that moment in time.
- Longitudinal survey – A survey that observes the same sample from the target population at several points in time. The objective is to describe the changes of the population over time.
- E-mail survey – A form of data collection via the Internet in which respondents are sent a questionnaire that is part of the body text of an e-mail. The question- naire is completed by returning the e-mail after answering the questions in the text.
- Mail survey – A form of data collection where paper questionnaire forms are sent to the respondents. After completion of the questionnaires, they are returned to the research organization.
- Web survey – A form of data collection via the Internet in which respondents complete the questionnaires on the World Wide Web. The questionnaire is accessed by means of a link to a web page.
- Internet survey – A general term for various forms of data collection via the Internet. Examples are a web survey and an e-mail survey. Included also are forms of data collection that use the Internet just to transport the questionnaire and the collected data.
- Self-selection survey - A survey for which the sample has been recruited by means of self-selection. It is left to the persons themselves to decide to participate in a survey.
- Self-selection panel: A web panel for which people select themselves in response to a banner, pop-up window, or advertisement in other media (radio, TV, and newspapers); Also Opt-in panel, Volunteer panel, Access panel.
- Web panel – A survey in which the same individuals are interviewed via the web at different points in time.
- Mixed-mode survey – A survey in which various modes of data collection are combined. Modes can be used concurrently (different groups are approached by different modes) or sequentially (nonrespondents of a mode are reapproached in a different mode).
- Reference survey – A survey conducted with the objective to obtain unbiased estimates of the population distributions of auxiliary variables.
Za Callegaro, Manfreda, and Vehovar (2015):
Przykłady paneli badawczych, w których dane zbierane są za pomocą interentu Callegaro et al. (2014):
- General population panel – are the most common. These panels tend to be very large and are recruited to include the diversity of the general population, sometimes including people in hard-to-reach subpopulations. A general population panel typically is used as a frame, from which samples are drawn based on the requirements of individual studies.
- Specialty panel – are designed to permit study of subpopulations de ned by demograph- ics and/or behavioral characteristics.
- Proprietary panel – are a subclass of specialty panels in which the members participate in research for a particular company. These panels are also called client panels, community panels, and, more recently, insight communities. They provide the opportunity for a company to establish a long-term relationship with a group of consumers – typically customers of products or services offered by the company – in a setting that allows for a mix of qualitative and quantitative research, of which surveying panels’ members is just one method of research.
- Election panels – people eligible to vote are recruited, and then the panel is subsam- pled during the months before (and perhaps after) an election to study attitude formation and change. These panels resemble more traditional longitudinal panels, because each member is surveyed at each wave before and after the election
- Internet audience ratings panels – rely on passive data collection rather than surveys. Track a panelist’s browsing behavior via software installed on the panelist’s computer or by using other technologies, such as a router,6 to record the sites he or she visits, the amount of time spent on each site, and the actions taken on that site
2.4 Literatura zalecana
Zachęcam do zapoznania z poniższymi raportami:
- 2016 – Evaluating Survey Quality in Today’s Complex Environment
- 2015 – Task Force Report on Big Data
- 2014 – Current Knowledge and Considerations Regarding Survey Refusals
- 2014 – Social Media and Public Opinion Research
- 2014 – Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys
- 2013 – Non-Probability Sampling
- 2010 – Cell Phone Task Force Report
- 2010 – Opt In Online Panel Task Force Report
Literatura
Bethlehem, Jelke, and Silvia Biffignandi. 2011. Handbook of Web Surveys. Vol. 567. John Wiley & Sons.
Callegaro, Mario, Katja Lozar Manfreda, and Vasja Vehovar. 2015. Web Survey Methodology. Sage.
Callegaro, Mario, Reginald P Baker, Jelke Bethlehem, Anja S Göritz, Jon A Krosnick, and Paul J Lavrakas. 2014. Online Panel Research: A Data Quality Perspective. John Wiley & Sons.


Mr. Robogers' Neighborhood
It is an aesthetically pleasing day in the neighborhood.
My name is
and my number is
Submit
REVERSE!


Dale Steyn Calls Spectacular Shami The 'best Bowler On Current Form'
by Koushik NarayananCricket News
Former South African speedster Dale Steyn called India's Mohammed Shami as the 'best bowler in current form' as India registered a comprehensive win over B'desh
Written By Koushik Narayanan | Mumbai | Updated On: November 17, 2019 11:12 IST
Former South African speedster Dale Steyn called India's Mohammed Shami as the 'best bowler in current form' as India registered a comprehensive win over Bangladesh in the first Test at Indore. Shami has been on a spectacular un for India in Tests and is considered as the deadliest fourth innings bowler. Dale Steyn revealed his choice of the best bowler to a fan during a Q&A session with his fans on Twitter. The former South African speedster also had a few words of praise for young Naseem Shah and said that he had 'some wheels'.
READ | India's Fast Bowlers Say They Feed Off Each Other's Success
Dale Steyn calls Shami the best bowler
READ | MS Dhoni Hits The Nets In Ranchi Cricket Stadium, First Time After World Cup Exit
Shami achieves a new feat
In the first Test against Bangladesh where India had registered a comprehensive win, Mohammed Shami once again proved why he is the best bowler in the second innings as he has now become the most successful bowler in the last two years when it comes to bowling in the second innings. The star pacer now has 51 scalps from 20 innings. Only the likes of Australia's Pat Cummins (48) and Nathan Lyon (47) are near Shami. Mohammed Shami took seven wickets in the first Test match. He finished with figures of 3/27 in the first innings at an economy rate of 2.08 including five maidens whereas, in the second innings, he was yet again the pick of the Indian bowlers with figures of 4/31 at an economy rate of 1.94 including seven maidens.
READ | Indore: Police Arrest Kohli Fan For Barging Into Ground During Ind Vs Ban Match
India register a comprehensive win
India declared their innings on the morning of Day 3 at 493/6 with a mammoth lead of 343 runs. The bowlers once again struck early for the hosts as Bangladesh lost their top order pretty early. Only Mushfiqur Rahim, Liton Das, Mehidy Hasan managed to show some resistance for the visitors. Rahim top-scored for Bangladesh with a 150-ball 64 and once he was dismissed, it was only a matter of time before the Mominul Haque-led side were bundled out for 213 as India won by an innings and 130 runs. By the virtue of this win, Team India continues to remain undisputed in the ICC World Test Championship points table with 300 points in six games that they have played so far and winning on all occasions.
READ | Australia Ban Pattinson From Pakistan Test For 'personal Abuse'


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On the top, the words that are searched all the time or at least half of the time. Each of them has its own thread in the fabric.
search
frequency
based
on help
offered
On the bottom, all in the same thread, are the words that are searched less than half of the time, tipically as a response to a crisis event.
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WITNESS LIST S/C on Base Realignment and Closure Committee March 2, 2005 - 1:30P SB 252 Registering, but not testifying: On Bill/On Committee Substitute (CS by Estes): Bearden, Bob (State Comptroller's Office), Austin, TX


§412:1-105 Deposits. Except as expressly authorized by this chapter or by federal law, no person shall solicit, accept, or hold deposits in this State. [L 1993, c 350, pt of §1; am L 2002, c 40, §11]


Preparation time
1-2 hours
Cooking time
less than 10 mins
Serves
Serves 12
Dietary
With its fantastic combination of banana and toffee, banoffee pie is hard to beat. This one has a chocolate biscuit base and is made on the hob rather than boiling the condensed milk in the can for hours.
To make the base, melt the butter in a small pan. Break the biscuits into chunky pieces and put in a food processor. Blend into crumbs then add the melted butter and, with the motor running, blend until thoroughly mixed. Alternatively, put the biscuits in a strong polythene food bag and bash with a rolling pin. Tip into a bowl and stir in the melted butter.
Tip the crumbs into the centre of a deep, 23cm/9in fluted loose-based tart tin or quiche dish and press firmly into the base and sides. (Make sure the biscuit base is evenly distributed, especially where the base meets the sides.) Chill in the fridge for 30 minutes, or until set.
To make the filling, melt the butter in a medium non-stick saucepan and stir in the sugar. Cook over a low heat as the sugar dissolves, stirring constantly until the butter and sugar look smooth and no oil floats to the surface. Add the condensed milk and bring to a gentle simmer, stirring constantly. Cook for three minutes, stirring until the mixture turns a deep, creamy caramel brown.
Pour the toffee gently onto the biscuit base and quickly smooth the surface. Leave to chill for one hour (and up to eight hours) before topping.
Just before serving, lightly whip the cream in a bowl. It should stand in soft peaks, any thicker and it will look over-whipped when mixed with the bananas. Diagonally slice four of the bananas and scatter half of them over the toffee. Fold the rest lightly into the cream and spoon gently on top.
Slice the remaining banana and put in a bowl. Pour the lemon juice over and very gently toss together (this will stop the banana turning brown). Decorate the top with the lemony banana, poking into the cream randomly, and sprinkle the pie with grated chocolate or decorate with chocolate curls. Serve in fairly thin slices as it is very rich.


Welcome to my Team
Here is a list of team members
****EMPLOYEE NAME****
*****MANAGER******
ID:*****ENTER ID HERE****
Email:
****ENTER EMAIL HERE***
Office Number: ****ENTER OFFICE NUMBER HERE***


Using VPP with TRex¶
In this example we use only two systems, csp2s22c03 and net2s22c05, to run TRex VPP is installed on csp2s22c03 and run as a packet forwarding engine. On net2s22c05, TRex is used to generate both client and server-side traffic. TRex is a high-performance traffic generator. It leverages DPDK and run in user space. Figure 2 illustrates this configuration.
VPP is set up on csp2s22c03 exactly as it was in the previous example. Only the setup on net2s22c05 is modified slightly to run TRex preconfigured traffic files.
Figure 2: The TRex traffic generator sends packages to the host that has VPP running.
First we install TRex.
NET2S22C05$ wget --no-cache http://trex-tgn.cisco.com/trex/release/latest
NET2S22C05$ tar -xzvf latest
NET2S22C05$ cd v2.37
Then show the devices we have.
NET2S22C05$ sudo ./dpdk_nic_bind.py -s
Network devices using DPDK-compatible driver
============================================
0000:87:00.0 'Ethernet Controller XL710 for 40GbE QSFP+' drv=vfio-pci unused=i40e
0000:87:00.1 'Ethernet Controller XL710 for 40GbE QSFP+' drv=vfio-pci unused=i40e
Network devices using kernel driver
===================================
0000:03:00.0 'Ethernet Controller 10-Gigabit X540-AT2' if=enp3s0f0 drv=ixgbe unused=vfio-pci *Active*
0000:03:00.1 'Ethernet Controller 10-Gigabit X540-AT2' if=enp3s0f1 drv=ixgbe unused=vfio-pci
0000:81:00.0 '82599 10 Gigabit TN Network Connection' if=ens787f0 drv=ixgbe unused=vfio-pci
0000:81:00.1 '82599 10 Gigabit TN Network Connection' if=ens787f1 drv=ixgbe unused=vfio-pci
Other network devices
=====================
<none>
Create the /etc/trex_cfg.yaml configuration file. In this configuration file, the port should match the interfaces available in the target system, which is net2s22c05 in our example. The IP addresses correspond to Figure 2. For more information on the configuration file, please refer to the TRex Manual.
NET2S22C05$ cat /etc/trex_cfg.yaml
- port_limit: 2
version: 2
interfaces: ['87:00.0', '87:00.1']
port_bandwidth_gb: 40
port_info:
- ip: <IP_ADDRESS>
default_gw: <IP_ADDRESS>
- ip: <IP_ADDRESS>
default_gw: <IP_ADDRESS>
Stop the previous VPP session and start it again in order to add a route for new IP addresses <IP_ADDRESS>/8 and <IP_ADDRESS>/8, according to Figure 2. Those IP addresses are needed because TRex generates packets that use these addresses. Refer to the TRex Manual for details on these traffic templates.
csp2s22c03$ sudo service vpp stop
csp2s22c03$ sudo service vpp start
csp2s22c03$ sudo vppctl
_______ _ _ _____ ___
__/ __/ _ \ (_)__ | | / / _ \/ _ \
_/ _// // / / / _ \ | |/ / ___/ ___/
/_/ /____(_)_/\___/ |___/_/ /_/
vpp# sho int
Name Idx State Counter Count
FortyGigabitEthernet82/0/0 1 down
FortyGigabitEthernet82/0/1 2 down
local0 0 down
vpp#
vpp# set interface ip address FortyGigabitEthernet82/0/0 <IP_ADDRESS>/24
vpp# set interface ip address FortyGigabitEthernet82/0/1 <IP_ADDRESS>/24
vpp# set interface state FortyGigabitEthernet82/0/0 up
vpp# set interface state FortyGigabitEthernet82/0/1 up
vpp# ip route add <IP_ADDRESS>/8 via <IP_ADDRESS>
vpp# ip route add <IP_ADDRESS>/8 via <IP_ADDRESS>
vpp# clear run
Now, you can generate a simple traffic flow from net2s22c05 using the traffic configuration file “cap2/dns.yaml”.
NET2S22C05$ sudo ./t-rex-64 -f cap2/dns.yaml -d 1 -l 1000
summary stats
--------------
Total-pkt-drop : 0 pkts
Total-tx-bytes : 166886 bytes
Total-tx-sw-bytes : 166716 bytes
Total-rx-bytes : 166886 byte
Total-tx-pkt : 2528 pkts
Total-rx-pkt : 2528 pkts
Total-sw-tx-pkt : 2526 pkts
Total-sw-err : 0 pkts
Total ARP sent : 4 pkts
Total ARP received : 2 pkts
maximum-latency : 35 usec
average-latency : 8 usec
latency-any-error : OK
On csp2s22c03, the show run command displays the graph runtime statistics.


Morris dancers have celebrated the seasons for hundreds of years in England with music dance, songs and plays. Decked out in ribbons and bells they performed athletic dances with handkerchiefs and sticks to encourage good fortune and fertility for the coming season. The Bridgetown Morris Men keep this age-old tradition alive in Portland. Our shows are an energetic mix of traditional dances, music, songs and ancient plays. Keep an eye out for us, you'll see us dancing around Portland at various events throughout the year.
In a normal week, we practice at 7 o'clock every Wednesday at the Portland Waldorf School in Milwaukie followed by singing at a local pub. Being morris dancers, however, normal is not our strong suit. Some weeks, especially in the summer, we dance out in various Portland neighborhoods instead. To be sure of where we are, follow us on Twitter or check the feed below.If you think your neighborhood would be a good place for us to visit, drop us a note. If you are a pub that would like to have some live traditional singing on Wednesdays, we would like to find a new permanent home. If you want to give dancing a try, beginners are always welcome.
Give us a call or send us an email and we will get back to you as soon as possible!
Ted Stanion, Squire<PHONE_NUMBER>
Hugo Glanville, Foreman<PHONE_NUMBER>


LOADUNIMAP(8) LOADUNIMAP(8) NAME loadunimap - load the kernel unicode-to-font mapping table SYNOPSIS loadunimap [ -C console ] [ -o oldmap ] [ map ] DESCRIPTION The loadunimap command is obsolete - its function is now built-in into setfont. However, for backwards compatibility it is still available as a separate command. The program loadunimap loads the specified map in the kernel unicode-to- font mapping table. If no map is given def is assumed. The default extension (that can be omitted) is .uni. If the -o oldmap option is given, the old map is saved in the file speci‐ fied. On Linux 2.6.1 and later one can specify the console device using the -C option. Usually one does not call loadunimap directly - its function is also built into setfont. FILES /usr/share/unimaps is the default directory for unicode mappings. SEE ALSO mapscrn(8), setfont(8) 2004-01-01 LOADUNIMAP(8)


Life Expectancy and Population of Countries
KEY
Size: Population
Color: Life Expectancy
45 83
Life Expectancy vs. % of GDP Spent on Healthcare
KEY
Size: Population
Color: Life Expectancy
45 83


One of our specialties is to be able to quickly realize prototypes of connected devices (IoT) and then to engineer their production, if necessary. We have already built devices for data collection in telemetry, with PLC connections on a serial port, control devices for the industry, energy meters integrated with the Web, Touch computers for the Internet of Things.
We make it possible to integrate with the WEB equipment and machinery, with only telemetry or even remote control. We therefore integrate existing equipment and machinery with our Rotilio PRO and Rotilio Maker electronic boards. In this way every object can be connected to the Internet in a short time, using secure data transmission channels.
We like to share knowledge with partners and end users, only in this way can solutions be born at the top of expectations, so we have prepared tutorials, courses and seminars on our products but also on the guiding concepts of the new technological frontier that companies will pass in the coming years.


Presentations
All the presentations will be recoreded and uploaded after the symposium! Please keep an eye on our website for more information! For any questions related to the symposium, please contact the organizers (menno.veerman@wur.nl).
BBOS 2020 spring symposium
The symposium is organized under the name of "BBOS 2020 spring symposium". It will be held on the 25th of September 2020.


| |
Methods defined here:
- __init__(self, grab_screen_observer)
- Constructor.
:param grab_screen_observer: The observer that is being notified for processing a grabbed image.
- grab_screen(self)
- Event method. Called when the keyboard shortcut is being pressed.
- parse_config(self, config_json)
- Parses the read config.
:param config_json: The read config as python dict.
:return:
- read_config(self)
- Reads the config file for the ImageSaver.
:return: A python dict representation of the config.
- remove_grab_screen_hook(self)
- Removes the configured shortcut from the global keyboard hooks.
- set_grab_screen_hook(self)
- Sets the configured shortcut as global keyboard hook for grabbing screenshots.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
05.31.18
While the bobcat has been Ohio University’s mascot since 1925, Rufus has only been around for a little more than a decade.
Marcus Pavilonis | ILLUSTRATION
The Bobcat mascot, previously known as Mr. Bobcat, appeared in the 1960 Homecoming float competition, according to the Mahn Center for Archives & Special Collections. Thomas Schantz designed the costume and then had it made.
From 1968 through the 70s the mascot also made appearances with Bobkitten, a female bobcat, according to the Mahn Center for Archives & Special Collections.
After 21 years, the bobcat costume was redesigned and then later again in the 1990s.
In 2006, OU decided to update the look of the mascot again, this time giving a name to the university’s mascot, according to a previous Post report. Several university groups individually teamed up to come up with designs for the new campus representative.
Before the proposed update, the mascot costume was dated and starting to show its age. Also, the old mascot was not cohesive with the “Attack Cat” logo, which also appeared on merchandise at the time.
In order to choose a new name for the mascot, there was a contest that ran from the end of the Spring Quarter to the first week of the Fall Quarter, according to a previous Post report.
“The name ‘Rufus’ was chosen by respondents to an online poll posted on the Athletic Department’s Web site. Respondents voted on the names Rufus, Flash, Bob, Prowler, Gamer and Attack,” a previous Post report reads.
While many were fans of the new update to the mascot, some people were not.
“Some people, though, prefer the look of the old Bobcat because it is approachable and familiar,” a previous Post report reads.
September of 2006 was when the new and improved Rufus the Bobcat “first rolled in to Peden Stadium.”
Blake Nissen | PHOTO EDITOR
Rufus rides a motorcycle out after the team before Ohio's homecoming game against Central Michigan University on October 6, 2017. The Bobcats lost 23-26
“The result was a slimmed-down, tougher-looking Bobcat dressed in an Ohio football uniform,” a previous Post report reads. With two new costumes purchased at about $10,000 each, it was said that they “should be used for the next seven or eight years.”
Landing Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


class Djikstra::Graph
Public Class Methods
new()
click to toggle source
# File lib/djikstra/graph.rb, line 20 def initialize @nodes = Hash.new() @edges = Array.new() end
Public Instance Methods
add_edge(start_node, end_node, weight)
click to toggle source
adding edges also adds nodes if not defined ###
# File lib/djikstra/graph.rb, line 39 def add_edge(start_node, end_node, weight) # make sure nodes exist before storing edge [start_node, end_node].each do |node| self.add_node(node) unless @nodes.has_key?(node) end # store edge @edges.push( [start_node, end_node, weight] ) # add neighboring node to start node @nodes[start_node].add_neighbor(end_node, weight) end
add_node(label)
click to toggle source
node api ###
# File lib/djikstra/graph.rb, line 26 def add_node(label) @nodes[label] = Node.new(label) end
file_to_graph(path)
click to toggle source
given a file with a list of arrays, and each array a start, end, and then a weight this will build a graph using the edges provided.
# File lib/djikstra/graph.rb, line 56 def file_to_graph(path) begin file = File.open(path) ## remove brackets on each line and pass data into add_edge ### file.each do |line| line.chomp! line.gsub!(/\[|\]/, '') self.add_edge( *line.split(',') ) end file.close rescue Exception => e puts e.message puts "\nbacktrace:\n" puts e.backtrace.inspect end end
find_shortest_path(start_node, end_node)
click to toggle source
implements djikstras algorithm (modified breadth first search) to find the shortest point between two nodes within the graph.
# File lib/djikstra/graph.rb, line 79 def find_shortest_path(start_node, end_node) puts "finding path for #{start_node} to #{end_node}" # make sure nodes exist [start_node, end_node].each do |node| unless @nodes.has_key?(node) puts "node #{node} doesn't exist" return end end # create a queue with the starting node; neighbors go in it queue = [start_node] # reset node distance and previous node node = self.get_node(start_node) node.distance = 0 path_cost = 0 previous = Hash.new # track path to end node while !queue.empty? do node_label = queue.pop() break if node_label.eql?(end_node) # found the end node node = self.get_node(node_label) neighbors = node.get_neighbors() neighbors.each do |neighbor_label, neighbor_weight| neighbor = self.get_node(neighbor_label) next if neighbor.visited queue.unshift(neighbor_label) # put in queue so to be considered # calculate distance path_cost = node.distance.to_i + neighbor_weight.to_i # if this is a shorter distance, set this neighbor if neighbor.distance.nil? or path_cost < neighbor.distance neighbor.distance = path_cost previous[neighbor_label] = node.label end end node.visited = true # so node isn't checked again end # after search, backtrack and build path path = [] previous_node = end_node while previous.has_key?(previous_node) do path.unshift(previous_node) previous_node = previous[previous_node] end path.unshift(start_node) # prepend our start return {'path' => path.join(','), 'cost' => path_cost} end
get_node(label)
click to toggle source
# File lib/djikstra/graph.rb, line 30 def get_node(label) @nodes[label] end
get_nodes()
click to toggle source
# File lib/djikstra/graph.rb, line 34 def get_nodes @nodes end


{extend name="common/base"} {block name="title"} Calculated Risk {/block} {block name="css"} {load href="/static/index/js/jconfirm/jquery-confirm.min.css" /} {/block} {block name="content"}
| Number | Patient name | Calculated Risk | Write Time | View detailed |
|---|---|---|---|---|
| {$key+1} | {$val.name} | {$val.type} | {$val.create_time} |


Before Change
("TrainingTrue", True,),
("TrainingFalse", False))
def testDropoutFCLayersWithConv(self, training):
tf.compat.v1.set_random_seed(0)
observation_spec = tensor_spec.BoundedTensorSpec((8, 8, 3), tf.float32, 0,
1)
time_step_spec = ts.time_step_spec(observation_spec)
time_step = tensor_spec.sample_spec_nest(time_step_spec, outer_dims=(1,))
After Change
fc_layer_params=[5],
dropout_layer_params=[0.5])
modes = []
num_modes = 10
for _ in range(num_modes):
action_distributions, _ = net(
time_step.observation, time_step.step_type, (), training=training)
modes.append(action_distributions.mode())
self.evaluate(tf.compat.v1.global_variables_initializer())
modes = self.evaluate(modes)
modes_differ = False
for i in range(num_modes):
for j in range(i+1, num_modes):


class JsEventManagerProcess : Process<JsEventManagerClass>
Use JsEventManager and process them. |
|
class JsInterfaceProcess : Process<JsInterfaceClass>
Process JsInterface annotations. The goal is make an extra file for each one to process an execute the javascript event in a single method. |
|
abstract class Process<T>
Is a simple class to model each annotation to process. Extend them if need a new annotation flow process. |


I'm Michael, a web developer located in San Francisco Bay Area with a previous background in accounting and client relations.
I build full stack applications and specialize with React, Node/Express and MongoDB. I enjoy building everything whether or not it is a simple site or a complex interactive web app. I’m always thinking on how to enhance and improve projects by exceeding expectations and obligations. This mindset is what strives me to create cool apps today and awesome apps tomorrow.
When I’m not coding or pushing pixels, you can find me shooting hoops and hanging out with my dog Lulu.
Check out my projects below or click the contact button!
A full-stack project management application tool for individuals and teams that has a fun interface and promotes positive development. User's are able to monitor their workflow. I was responsible to build and design the front end React components and Redux portion, but extended to all aspects of the application throughout the project's development.
React - Redux - Node - Express - MongoDB - Google OAuth
The application allows users to search and find places to go using the Foursquare API. The app takes the user's current location and displays a set of categories of places that might be of interest to the user. Users can use this application to gain information about a particular place they want to visit.
React - Redux - Node - Express - Foursquare API
A gesture drawing application that is used as a tool for users to focus and improve their drawing skills. My responsibilities were to implement the functionality of the app. This included the user’s selection of images, time interval and image controls.
React - Redux - Node - Express - Sass


A New Formula Similarity Model for Searching Math Expressions using Subtree Leaf-Root Paths
Wei Zhong
Advisor: Richard Zanibbi
Research Potential Assessment
(May 10 2018)
Mathematical Information Retrieval (MIR)
- Detect and extract math expressions from document (e.g., PDF)
- Computation query and knowledge search (e.g., WolframAlpha)
- Handwritten/image recognition for math
- Combined text and math search
- Search math by similarity
Zanibbi, Richard, and Dorothea Blostein. “Recognition and Retrieval of Mathematical Expressions.”
International Journal on Document Analysis and Recognition (IJDAR) 15, no. 4. 2012.
Search math by similarity
Zhong, Wei, and Hui Fang. “OPMES: A Similarity Search Engine for Mathematical Content.” In Advances in Information Retrieval, 849–52. Lecture Notes in Computer Science. Springer, Cham, 2016.
Search text by similarity
- Representation (e.g., Bag of words)
- Similarity measurement (e.g., TF-IDF)
- Retrieval model (e.g., Inverted index)
[image] https://i0.wp.com/thecaffeinedev.com/wp-content/uploads/2017/12/bag.jpg
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press, NY, USA.
Search math by similarity
- Need new representation
- Symbols can be used interchangeably (e.g., $x^2+x$ and $a^2+a$)
- Math is structured rather than linear
- Need new similarity measurement
- Associativity/commutativity (e.g., $x+xy$ and $ab+b$)
- Sub-expression identification (e.g., $f(x+1)$ and $x+1$)
- New retrieval model?
Zhong, Wei. “A Novel Similarity-Search Method for Mathematical Content in LaTeX Markup and Its Implementation.” Thesis, University of Delaware, 2015.
Math representation
(Text-based)
Sojka, Petr, and Martin Líška. “Indexing and Searching Mathematics in Digital Libraries.” In Intelligent Computer Mathematics, 228–43. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, 2011.
Math representation
(Tree-based)
Symbol Layout Tree
graph TD;
add("ADD")
add --- a
add --- power
add --- frac
power --- base
power --- add2("ADD")
base --- b("b")
add2 --- 2("2")
add2 --- c("c")
frac --- rank1
rank1 --- 1
frac --- rank2
rank2 --- x
Operator tree
$a+b^{2+c} + \frac 1 x$ in two different tree representations
Davila, Kenny. “Appearance-Based Retrieval of Mathematical Notation in Documents and Lecture Videos.” In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1165–1165. SIGIR ’16. New York, NY, USA.
Similarity measurement
(Query being a subexpression of candidate expression)
graph TD;
add2("ADD")
add2 --- a("a")
add2 --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
Query: $ a+bc $
graph TD;
add("ADD")
add --- a("a")
add --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES")
times2 --- x("x")
times2 --- y("y")
Candidate: $ a+bc+xy $
Similarity measurement
(By alignment of subtree structure/finding isomorphism)
graph TD;
add2("ADD")
add2 --- a("a")
add2 --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
Query: $ a+bc $
graph TD;
add("ADD")
add --- a("a")
add --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES")
times2 --- x("x")
times2 --- y("y")
style add stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
Candidate: $ a+bc+xy $
Formula subtree (matching from the bottom)
Time complexity for finding common subtree
- $O((m^{1.5} / \log m) \cdot n)$ $^{[1]}$ for finding subtree isomorphism
- $O(n + m)$ $^{[2]}$ for finding largest common forest between rooted trees, but requires vertex matching outdegree, it also needs parent/children info to construct a Directed Acyclic Graph before starting aligning nodes
[1] Ron Shamir, Dekel Tsur, Faster Subtree Isomorphism, Journal of Algorithms. 1999.
[2] G. Valiente, "An efficient bottom-up distance between trees," Proceedings Eighth Symposium on String Processing and Information Retrieval, 2001.

Vandermonde-like identities
$$
\begin{aligned}
&\color{green}{2} \sum_{\color{red}{k=0}}^{\color{CYAN}{r}-1} \binom{\color{blue}{n}}{\color{SALMON}{2k}+1} \binom{\color{blue}{n}}{\color{ORANGE}{2r-2k}-1}
\\
&\color{green}{2} \sum_{\color{red}{k=0}}^\color{CYAN}{r} \binom{\color{blue}{n}}{\color{SALMON}{2k}} \binom{\color{blue}{n}}{\color{ORANGE}{2r-2k}}
\end{aligned}
$$
(https://math.stackexchange.com/questions/216752)
Similarity measurement
(Capturing multiple subtrees' structure isomorphism)
graph TD;
add("ADD")
group("GROUP")
add --- group
group --- add2
add2("ADD")
add2 --- a("a")
add2 --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES")
times2 --- x("x")
times2 --- y("y")
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
linkStyle 4 stroke:#080,stroke-width:8px;
linkStyle 5 stroke:#080,stroke-width:8px;
linkStyle 7 stroke:#800,stroke-width:8px;
linkStyle 8 stroke:#800,stroke-width:8px;
Query:
$ (a+bc)+xy $
graph TD;
add("ADD")
add --- a("a")
add --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES")
times2 --- x("x")
times2 --- y("y")
style add stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
linkStyle 5 stroke:#800,stroke-width:8px;
linkStyle 6 stroke:#800,stroke-width:8px;
Candidate: $ a+bc+xy $
Common formula subforest $\pi \in \Pi(T_q, T_d)$
Similarity measurement
(Beyond single maximum alignment)
graph TD;
add("ADD")
group("GROUP")
add --- group
group --- add2
add2("ADD")
add2 --- a("a")
add2 --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES ")
times2 --- x("x")
times2 --- y("y")
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
linkStyle 4 stroke:#080,stroke-width:8px;
linkStyle 5 stroke:#080,stroke-width:8px;
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 7 stroke:#800,stroke-width:8px;
linkStyle 8 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$(a+bc) + xy$
$T_1$
graph TD;
add("ADD")
add --- a("a")
add --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- times2("TIMES ")
times2 --- x("x")
times2 --- y("y")
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style add stroke: #080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 5 stroke:#800,stroke-width:8px;
linkStyle 6 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$a+bc + xy$
$T_2$
graph TD;
add("ADD")
add --- a("a")
add --- times1("TIMES")
times1 --- b("b")
times1 --- c("c")
add --- POWER
POWER --- x("x")
POWER --- y("y")
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style add stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
$a+bc + x^y$
$T_3$
Formula tree similarity
$\Gamma(T_1, T_2) = \gamma(\pi_{1,2} \in \Pi(T_1, T_2)) = (3, 2, 0)$
is greater than
$\Gamma(T_1, T_3) = \gamma(\pi_{1,3} \in \Pi(T_1, T_3)) = (3, 0, 0)$
Scoring tuple width value: (w_1, w_2, w_3)
Retrieval model
(High-level idea)
- Break the tree into different "prefixed" leaf-root paths.
- Index "hit lists" that represents the matched paths.
- At query processing time, repeat until we find $k$ best matched formula subtree:
- Find the maximum common subtree using hit lists.
- Exclude the previous matched leaf-root paths and find the next best matched formula subtree.
Retrieval model
(Notation of prefixed leaf-root path)
graph TD;
add("ADD
#10")
group("GROUP
#8")
add --- group
group --- add2
add2("ADD
#7")
add2 --- a("a
#1")
add2 --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#9")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 3 stroke:#009,stroke-width:8px;
linkStyle 4 stroke:#009,stroke-width:8px;
style add2 stroke:#009,stroke-width:8px
style times1 stroke:#009,stroke-width:8px
style b stroke:#009,stroke-width:8px
Number the nodes and denote path: 7~2
Retrieval model
(Hit list)
7~1 (ADD, VAR): 8~1.
6~2 (TIMES, VAR): 6~2, 6~3, 7~4, 7~5.
6~3 (TIMES, VAR): 6~2, 6~3, 7~4, 7~5.
9~4 (TIMES, VAR): 6~2, 6~3, 7~4, 7~5.
9~5 (TIMES, VAR): 6~2, 6~3, 7~4, 7~5.
7 ~2 (ADD, TIMES, VAR): 8~2, 8~3, 8~4, 8~5.
7 ~3 (ADD, TIMES, VAR): 8~2, 8~3, 8~4, 8~5.
10~4 (ADD, TIMES, VAR): 8~2, 8~3, 8~4, 8~5.
10~5 (ADD, TIMES, VAR): 8~2, 8~3, 8~4, 8~5.
Hit lists (ordered from short to long)
graph TD;
add("ADD
#10")
group("GROUP
#8")
add --- group
group --- add2
add2("ADD
#7")
add2 --- a("a
#1")
add2 --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#9")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
linkStyle 4 stroke:#080,stroke-width:8px;
linkStyle 5 stroke:#080,stroke-width:8px;
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 7 stroke:#800,stroke-width:8px;
linkStyle 8 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$(a+bc) + xy$
graph TD;
add("ADD
#8")
add --- a("a
#1")
add --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#7")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style add stroke: #080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 5 stroke:#800,stroke-width:8px;
linkStyle 6 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$a+bc + xy$
Retrieval model
| Qry\Doc | 8~1, 8~2, 8~3, 8~4, 8~5 | 6~2, 6~3 | 7~4, 7~5 |
| 7~1, 7~2, 7~3 | <7~1, 8~1>, <7~2, 8~2>, <7~3, 8~3> | | |
| 6~2, 6~3 | | <6~2, 6~2>, <6~3, 6~3> | <6~2, 7~4>, <6~3, 7~5> |
| 9~4, 9~5 | | <9~4, 6~2>, <9~5, 6~3> | <9~4, 7~4>, <9~5, 7~5> |
| 10~4, 10~5 | <10~4, 8~2>, <10~5, 8~3> | | |
1st iteration
graph TD;
add("ADD
#10")
group("GROUP
#8")
add --- group
group --- add2
add2("ADD
#7")
add2 --- a("a
#1")
add2 --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#9")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
linkStyle 4 stroke:#080,stroke-width:8px;
linkStyle 5 stroke:#080,stroke-width:8px;
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
$(a+bc) + xy$
graph TD;
add("ADD
#8")
add --- a("a
#1")
add --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#7")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style add stroke: #080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
$a+bc + xy$
(By assumption, "max-hits" cell corresponds to the best matched subtree)
Retrieval model
| Qry\Doc | 8~1, 8~2, 8~3, 8~4, 8~5 | 6~2, 6~3 | 7~4, 7~5 |
| 7~1, 7~2, 7~3 | <7~1, 8~1>, <7~2, 8~2>, <7~3, 8~3> | | |
| 6~2, 6~3 | | <6~2, 6~2>, <6~3, 6~3> | <6~2, 7~4>, <6~3, 7~5> |
| 9~4, 9~5 | | <9~4, 6~2>, <9~5, 6~3> | <9~4, 7~4>, <9~5, 7~5> |
| 10~4, 10~5 | <10~4, 8~2>, <10~5, 8~3> | | |
2nd iteration
graph TD;
add("ADD
#10")
group("GROUP
#8")
add --- group
group --- add2
add2("ADD
#7")
add2 --- a("a
#1")
add2 --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#9")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
linkStyle 4 stroke:#080,stroke-width:8px;
linkStyle 5 stroke:#080,stroke-width:8px;
style add2 stroke:#080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 7 stroke:#800,stroke-width:8px;
linkStyle 8 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$(a+bc) + xy$
graph TD;
add("ADD
#8")
add --- a("a
#1")
add --- times1("TIMES
#6")
times1 --- b("b
#2")
times1 --- c("c
#3")
add --- times2("TIMES
#7")
times2 --- x("x
#4")
times2 --- y("y
#5")
linkStyle 0 stroke:#080,stroke-width:8px;
linkStyle 1 stroke:#080,stroke-width:8px;
linkStyle 2 stroke:#080,stroke-width:8px;
linkStyle 3 stroke:#080,stroke-width:8px;
style add stroke: #080,stroke-width:8px
style times1 stroke:#080,stroke-width:8px
style a stroke:#080,stroke-width:8px
style b stroke:#080,stroke-width:8px
style c stroke:#080,stroke-width:8px
linkStyle 5 stroke:#800,stroke-width:8px;
linkStyle 6 stroke:#800,stroke-width:8px;
style times2 stroke:#800,stroke-width:8px
style x stroke:#800,stroke-width:8px
style y stroke:#800,stroke-width:8px
$a+bc + xy$
Compute next best matched subtree by excluding path $S_q=\{1,2,3\}$ and
$S_d=\{1,2,3\}$
Greedily count aligned "internal nodes" by looking at "subtree cells" in this table.
Final formula tree similarity ($k=3$) score: (3, 2, 0)
Scoring
-
Structure similarity $S_{\text{st}}$ is determined by top-3 width values:
$$
S_{\text{st}} = \max(0, \frac{w_1}{|\mathcal{P}(T_q)|} - 0.1) + \beta_2 \frac{w_2}{|\mathcal{P}(T_q)|} + \beta_3 \frac{w_3}{|\mathcal{P}(T_q)|}
$$
-
Symbol set similarity $S_{\text{sy}}$ is a function of normalized Mark-and-
Cross score$^{[1]}$ $y$:
$$
S_{\text{sy}} = \frac 1 {1 + (1 - y)^2}
$$
-
Scoring function (combine structure and symbol similarity in F-measure$^{[2, 3]}$):
$$
\frac{ S_{\text{st}} S_{\text{sy}} }{ S_{\text{st}} + S_{\text{sy}} }
\left[ (1-\alpha) + \alpha \frac 1 {\log(1 + |\mathcal{P}(T_d)|)} \right]
\quad (\alpha = 0.05)
$$
[1] Zhong, Wei. 2015. “A Novel Similarity-Search Method for Mathematical Content in LaTeX Markup and Its Implementation.” Thesis, University of Delaware.
[2] Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press, NY, USA.
[3] Richard Zanibbi, Kenny Davila, Andrew Kane, and Frank Wm. Tompa. 2016. Multi-Stage Math Formula Search: Using Appearance-Based Similarity Metrics at Scale. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR '16). ACM, New York, NY, USA, 145-154.
Evaluation settings
- NTCIR-12 dataset and human-assessed ratting (judged pool)
Corpus has 387,947 unique math expressions, 20 non-wildcards queries.
- We evaluated 5 runs:
- New model
- A0-new-1: $\beta_1 = \beta_2 = 0$ (single common subtree awareness)
- A0-new-2: $\beta_1 = 1, \beta_2 = 0.1$ (multiple common subtrees awareness)
- A0-orig: Original system
- MCAT$^{[1]}$
- Tangent$^{[2]}$
[1, 2] Zanibbi, Richard, et al. "NTCIR-12 MathIR Task Overview." NTCIR. 2016.
Sample results
NTCIR12-MathWiki-8 (multiple subtrees matching)
Evaluation results
Sample results
NTCIR12-MathWiki-16 (multiple subtrees matching)
Sample results
NTCIR12-MathWiki-16 (single one subtree matching)
Conclusion
- Problem Addressed: Multiple subtree similarity awareness in math expressions.
- Main results: Proposed a new model for math search, overall full-relevance improvement in bpref.
- Future Agenda: Improve effectiveness in general, especially multiple subtree matching in full-relevance case.
Improve efficiency of current system.
Thank you!
Thanks the Sloan foundation for providing financial support for my studies.


MEDIATOR PATTERN
is a pattern where there is a colleages object and a mediator object that makes the iteraction between the colleages possible


The three functions in the package compute the maximum likelihood estimates of the informants' competence scores, tests for two answer keys with known groups, and finds "best" split of the informants into sub-culture groups.
| Version: | 1.0 |
| Depends: | graphics, grDevices, stats, utils |
| Published: | 2013-09-25 |
| Author: | Mary C Meyer, Jeffrey G Snodgrass, Michael Lacy |
| Maintainer: | Mary C Meyer <meyer at stat.colostate.edu> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SubCultCon results |
| Reference manual: | SubCultCon.pdf |
| Package source: | SubCultCon_1.0.tar.gz |
| Windows binaries: | r-devel: SubCultCon_1.0.zip, r-release: SubCultCon_1.0.zip, r-oldrel: SubCultCon_1.0.zip |
| OS X binaries: | r-release: SubCultCon_1.0.tgz, r-oldrel: SubCultCon_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SubCultCon to link to this page.


|
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"get real" and change their lives. He's like a cowboy wrapped up inside
a therapist, snuggled and hugged in a dream within a dream, smothered thrice
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Dr. Phil are placed front and center on a wide circular stage, with literally
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baby chairs, legs dangling uncomfortably in the awkward, empty space above an
entire audience of looky-loos, many of whom spend the full hour doing nothing
more than peering up a guest's skirt. "Dr. Phil doesn't like the fact that we actually expose him for being a wacko," Howard Stern says. "He's a car salesman." Critical viewers roll their eyes whenever Dr. Phil quotes from his own personal
library of down-home good ol' boy Texas yokelisms, obscure combinatorics of
sensible nouns and mundane activities. Sometimes it's hard to see your face
without a mirror, for example. Or, People with nothing to hide hide nothing.
Or, Put that on the cover of the Duh Journal. Or even, You're only
lonely if you're not there for you. Each season, Dr. Phil plucks from the wilderness the most fragmented family his staffers can find. Cameras roll as he delivers them en masse toward stability and enlightenment over the course of an entire season. Emotionally vacuous, ice cold mothers married to philandering, gambling-addicted fathers of pregnant, pie-faced fifteen year-old girls are not uncommon on the set.  They're not eunuchs or convenient punchlines, but rather middle-to-upper-class American dopes doing their best to live a "perfect" life. Here are people in truly terrible shape, with very little insight about how to be happy, and far fewer ways to excuse their behavior. They're not on medication, they're not mentally ill. Everyone on the Dr. Phil program is lazy, a crybaby, or somewhere in between. "Marilyn is married, with a 12-year-old daughter. Recently she discovered that her husband of 13 years has been cheating on her during most of their marriage. He is so unhappy with her weight of 347 pounds that he's embarrassed to introduce her to his friends and co-workers." "You're going to have to come to grips with that," Dr. Phil tells her. "And if you don't want to do that, then don't do this. There's nowhere to run, nowhere to hide. You're going to get real about fat, or you're going to get real fat." Yes, Dr. Phil's most recent title is Lord of the Fat. But Sally Smith, 374-pound editor of Big Beautiful Woman magazine, and Maryanne Bodolay, 400-pound executive administrator of the National Association to Advance Fat Acceptance are two former guests of Dr. Phil who have come forward to denounce him as a fraud. They'd hoped to change the good doctor's philosophy that being fat is a psychological flaw which can be overcome with willpower alone. Before they appeared on the show, producers sent them on an undercover mission in Las Vegas. A hidden camera followed them around in the hopes that strangers would ridicule them because of their weight. Nobody did, so the crew moved the ladies to Los Angeles and sat them in a restaurant next to two diners known to dislike fat people. Nothing happened there, either -- but when the show aired in November, viewers saw Maryanne and Sally visiting a mall, a fitness center and a buffet restaurant. Hidden-camera footage showed onlookers snickering -- supposedly at the overweight ladies. At different times in the restaurant, one man asked, "Is that fat-free ice cream?" and another told the women, "Leave some for somebody else!" To add insult to injury, producers telephoned the women weeks after the show aired, asking them to make a return appearance because the first show won tremendous ratings. As if one Phil McGraw wasn't enough, out squirts Jay McGraw, Dr. Phil's son -- ready, willing and able to step up and get real about piggybacking on the success of his dad. A student at Southern Methodist University with impish tufts of Giovanni Ribisi facial hair (and a dead ringer for all the freakish members of the Backstreet Boys smashed together), Jay has somehow managed to auteur four books intended for teens, each of which has landed on the New York Times bestseller list. Chief among them is Closing the Gap: A Strategy for Bringing Parents and Teens Together. "Parents, your sons and daughters are in danger!" shrieks Dr. Phil at the start of Jay's book.  It is not a disease of biological origin, it does not attack the tissues of your body, but it is a disease - an acute social disease which attacks the fiber of your family. The danger is real; it is right now and it spans the physical, mental, emotional and spiritual realms. Teens, whether you think so or not, you are in trouble here, and your parents are confused - or even worse - totally lost about how to help. The disease is one of disconnection, distraction, and fragmentation." And then Jay starts pounding the keyboard, doing his best to fit in with today's young people.  Hemlines? Curfews? Goody-two-shoes? Beaver Cleaver? When was the last time any of those words crossed a teen's vocabulary? Talk about a never-ending cycle of disconnection, daddy-o. Why not just bring up Warm Fuzzies and Cold Pricklies? As Oprah plugs Phil, Phil plugs Jay, Jay plugs his books, each book plugs the websites (as a resource for "meaningful discourse") and splashed across all the websites are plugs for Oprah What nobody plugs is that a former patient of Dr. Phil has come forward to
claim he sexually abused her in the early 1980's. She filed charges with the
Texas State Board of Examiners and Psychologists, who reprimanded him in 1989
for "hiring the woman too soon after she was a patient," citing an
inappropriate dual relationship. Dr. Phil took a lie detector test to prove
his innocence - and he passed - but he "can't remember" exactly who
administered the test. So Dr. Phil is a controversial behaviorist among therapists. Big deal. One camp sees him as an emotional hustler who's turned serious psychotherapy into a sideshow, tearing down defenses and offering nothing in return. Others say Phil is doing a service by showcasing dysfunctional couples to the world and chastising them to snap out of it. One side-effect of Oprah giving birth to Dr. Phil was the inevitable onslaught of I LOVE DR. PHIL merchandise and paraphernalia, the least of which can be described as pop philosophy or a self-help references. His web site boasts information "not necessarily created or approved by a certified mental health professional," and content "not created by Dr. Phil or any other certified mental health professional." Are you ludicrously obese, struggling daily with a regiment of diet, exercise and weight loss? Just buy bigger clothes! Navigate your way to the Dr. Phil website; maybe you need an I LOVE DR. PHIL T-shirt, available in sizes Large, Extra Large, Extra Extra Large - and yes, folks - Extra Extra Extra Large. Who says food can't masquerade as love? Or might you be better off with a nickel-plated I LOVE DR. PHIL Accordion Tri-Fold Mini Photo Template Frame? What better way to help your emotionally distant father showcase embarrassing soccer portraits of you at age eleven. Look honey, it's you!  Only $15.99, plus shipping and fondling. And hey mom, we can't forget about you. Everyone in our rinky-dink middle America huckleberry farming community knows you like to drive into town pitch-black, fall-down drunk. So here's an I LOVE DR. PHIL silver keychain, packaged in a gift box and suitable for your keys to the tractor, trailer, tractor-trailer, or all of the above. Ten bucks, guaranteed to make today a changing day in your life. Dear Diary, what I wouldn't give for an I LOVE DR. PHIL spiral-bound notebook so I could jot down each and every last one of my own personal observations during Dr. Phil re-runs. And it's only twelve dollars. My goodness, how will I ever fill up eighty sheets of individually lined paper? Have that many original thoughts even occurred to me over the course of my entire life? Who cares! Add to cart! CLICK CLICK CLICK CLICK HONK BONK DUH. Clearly it's come to Dr. Phil's attention that a large portion of his stay-at-home audience are desperate shopaholics who suffer from diarrhea of the spend. Do you have similar problems? Are your children vicious potty-mouths, crippled by painfully narcissistic introspection about their Max Payne 2 acumen? Is your sixth wife haranguing you about wanting a sixth baby? Were you raised in by wolves who made no secret of the fact that they were hoping for a child of the opposite sex? These days, the only way to get a face-to-face meeting with Dr. Phil is to be a guest on the show.


Task Scheduling
Introduction
In the past, you may have generated a Cron entry for each task you needed to schedule on your server. However, this can quickly become a pain, because your task schedule is no longer in source control and you must SSH into your server to add additional Cron entries.
Laravel's command scheduler allows you to fluently and expressively define your command schedule within Laravel itself. When using the scheduler, only a single Cron entry is needed on your server. Your task schedule is defined in the app/Console/Kernel.php
file's schedule
method. To help you get started, a simple example is defined within the method.
Starting The Scheduler
When using the scheduler, you only need to add the following Cron entry to your server. If you do not know how to add Cron entries to your server, consider using a service such as Laravel Forge which can manage the Cron entries for you:
* * * * * cd /path-to-your-project && php artisan schedule:run >> /dev/null 2>&1
This Cron will call the Laravel command scheduler every minute. When the schedule:run
command is executed, Laravel will evaluate your scheduled tasks and runs the tasks that are due.
Defining Schedules
You may define all of your scheduled tasks in the schedule
method of the App\Console\Kernel
class. To get started, let's look at an example of scheduling a task. In this example, we will schedule a Closure
to be called every day at midnight. Within the Closure
we will execute a database query to clear a table:
<?php
namespace App\Console;
use Illuminate\Support\Facades\DB;
use Illuminate\Console\Scheduling\Schedule;
use Illuminate\Foundation\Console\Kernel as ConsoleKernel;
class Kernel extends ConsoleKernel
{
/**
* The Artisan commands provided by your application.
*
* @var array
*/
protected $commands = [
//
];
/**
* Define the application's command schedule.
*
* @param \Illuminate\Console\Scheduling\Schedule $schedule
* @return void
*/
protected function schedule(Schedule $schedule)
{
$schedule->call(function () {
DB::table('recent_users')->delete();
})->daily();
}
}
In addition to scheduling using Closures, you may also use invokable objects. Invokable objects are simple PHP classes that contain an __invoke
method:
$schedule->call(new DeleteRecentUsers)->daily();
Scheduling Artisan Commands
In addition to scheduling Closure calls, you may also schedule Artisan commands and operating system commands. For example, you may use the command
method to schedule an Artisan command using either the command's name or class:
$schedule->command('emails:send Taylor --force')->daily();
$schedule->command(EmailsCommand::class, ['Taylor', '--force'])->daily();
Scheduling Queued Jobs
The job
method may be used to schedule a queued job. This method provides a convenient way to schedule jobs without using the call
method to manually create Closures to queue the job:
$schedule->job(new Heartbeat)->everyFiveMinutes();
// Dispatch the job to the "heartbeats" queue...
$schedule->job(new Heartbeat, 'heartbeats')->everyFiveMinutes();
Scheduling Shell Commands
The exec
method may be used to issue a command to the operating system:
$schedule->exec('node /home/forge/script.js')->daily();
Schedule Frequency Options
There are a variety of schedules you may assign to your task:
| Method | Description |
|---|---|
->cron('* * * * *'); |
Run the task on a custom Cron schedule |
->everyMinute(); |
Run the task every minute |
->everyFiveMinutes(); |
Run the task every five minutes |
->everyTenMinutes(); |
Run the task every ten minutes |
->everyFifteenMinutes(); |
Run the task every fifteen minutes |
->everyThirtyMinutes(); |
Run the task every thirty minutes |
->hourly(); |
Run the task every hour |
->hourlyAt(17); |
Run the task every hour at 17 mins past the hour |
->daily(); |
Run the task every day at midnight |
->dailyAt('13:00'); |
Run the task every day at 13:00 |
->twiceDaily(1, 13); |
Run the task daily at 1:00 & 13:00 |
->weekly(); |
Run the task every week |
->weeklyOn(1, '8:00'); |
Run the task every week on Monday at 8:00 |
->monthly(); |
Run the task every month |
->monthlyOn(4, '15:00'); |
Run the task every month on the 4th at 15:00 |
->quarterly(); |
Run the task every quarter |
->yearly(); |
Run the task every year |
->timezone('America/New_York'); |
Set the timezone |
These methods may be combined with additional constraints to create even more finely tuned schedules that only run on certain days of the week. For example, to schedule a command to run weekly on Monday:
// Run once per week on Monday at 1 PM...
$schedule->call(function () {
//
})->weekly()->mondays()->at('13:00');
// Run hourly from 8 AM to 5 PM on weekdays...
$schedule->command('foo')
->weekdays()
->hourly()
->timezone('America/Chicago')
->between('8:00', '17:00');
Below is a list of the additional schedule constraints:
| Method | Description |
|---|---|
->weekdays(); |
Limit the task to weekdays |
->weekends(); |
Limit the task to weekends |
->sundays(); |
Limit the task to Sunday |
->mondays(); |
Limit the task to Monday |
->tuesdays(); |
Limit the task to Tuesday |
->wednesdays(); |
Limit the task to Wednesday |
->thursdays(); |
Limit the task to Thursday |
->fridays(); |
Limit the task to Friday |
->saturdays(); |
Limit the task to Saturday |
->between($start, $end); |
Limit the task to run between start and end times |
->when(Closure); |
Limit the task based on a truth test |
->environments($env); |
Limit the task to specific environments |
Between Time Constraints
The between
method may be used to limit the execution of a task based on the time of day:
$schedule->command('reminders:send')
->hourly()
->between('7:00', '22:00');
Similarly, the unlessBetween
method can be used to exclude the execution of a task for a period of time:
$schedule->command('reminders:send')
->hourly()
->unlessBetween('23:00', '4:00');
Truth Test Constraints
The when
method may be used to limit the execution of a task based on the result of a given truth test. In other words, if the given Closure
returns true
, the task will execute as long as no other constraining conditions prevent the task from running:
$schedule->command('emails:send')->daily()->when(function () {
return true;
});
The skip
method may be seen as the inverse of when
. If the skip
method returns true
, the scheduled task will not be executed:
$schedule->command('emails:send')->daily()->skip(function () {
return true;
});
When using chained when
methods, the scheduled command will only execute if all when
conditions return true
.
Environment Constraints
The environments
method may be used to execute tasks only on the given environments:
$schedule->command('emails:send')
->daily()
->environments(['staging', 'production']);
Timezones
Using the timezone
method, you may specify that a scheduled task's time should be interpreted within a given timezone:
$schedule->command('report:generate')
->timezone('America/New_York')
->at('02:00')
If you are assigning the same timezone to all of your scheduled tasks, you may wish to define a scheduleTimezone
method in your app/Console/Kernel.php
file. This method should return the default timezone that should be assigned to all scheduled tasks:
/**
* Get the timezone that should be used by default for scheduled events.
*
* @return \DateTimeZone|string|null
*/
protected function scheduleTimezone()
{
return 'America/Chicago';
}
{note} Remember that some timezones utilize daylight savings time. When daylight saving time changes occur, your scheduled task may run twice or even not run at all. For this reason, we recommend avoiding timezone scheduling when possible.
Preventing Task Overlaps
By default, scheduled tasks will be run even if the previous instance of the task is still running. To prevent this, you may use the withoutOverlapping
method:
$schedule->command('emails:send')->withoutOverlapping();
In this example, the emails:send
Artisan command will be run every minute if it is not already running. The withoutOverlapping
method is especially useful if you have tasks that vary drastically in their execution time, preventing you from predicting exactly how long a given task will take.
If needed, you may specify how many minutes must pass before the "without overlapping" lock expires. By default, the lock will expire after 24 hours:
$schedule->command('emails:send')->withoutOverlapping(10);
Running Tasks On One Server
{note} To utilize this feature, your application must be using the
memcached
orredis
cache driver as your application's default cache driver. In addition, all servers must be communicating with the same central cache server.
If your application is running on multiple servers, you may limit a scheduled job to only execute on a single server. For instance, assume you have a scheduled task that generates a new report every Friday night. If the task scheduler is running on three worker servers, the scheduled task will run on all three servers and generate the report three times. Not good!
To indicate that the task should run on only one server, use the onOneServer
method when defining the scheduled task. The first server to obtain the task will secure an atomic lock on the job to prevent other servers from running the same task at the same time:
$schedule->command('report:generate')
->fridays()
->at('17:00')
->onOneServer();
Background Tasks
By default, multiple commands scheduled at the same time will execute sequentially. If you have long-running commands, this may cause subsequent commands to start much later than anticipated. If you would like to run commands in the background so that they may all run simultaneously, you may use the runInBackground
method:
$schedule->command('analytics:report')
->daily()
->runInBackground();
Maintenance Mode
Laravel's scheduled tasks will not run when Laravel is in maintenance mode, since we don't want your tasks to interfere with any unfinished maintenance you may be performing on your server. However, if you would like to force a task to run even in maintenance mode, you may use the evenInMaintenanceMode
method:
$schedule->command('emails:send')->evenInMaintenanceMode();
Task Output
The Laravel scheduler provides several convenient methods for working with the output generated by scheduled tasks. First, using the sendOutputTo
method, you may send the output to a file for later inspection:
$schedule->command('emails:send')
->daily()
->sendOutputTo($filePath);
If you would like to append the output to a given file, you may use the appendOutputTo
method:
$schedule->command('emails:send')
->daily()
->appendOutputTo($filePath);
Using the emailOutputTo
method, you may e-mail the output to an e-mail address of your choice. Before e-mailing the output of a task, you should configure Laravel's e-mail services:
$schedule->command('foo')
->daily()
->sendOutputTo($filePath)
->emailOutputTo('foo@example.com');
If you only want to e-mail the output if the command fails, use the emailOnFailure
method:
$schedule->command('foo')
->daily()
->emailOnFailure('foo@example.com');
{note} The
emailOutputTo
,emailOnFailure
,sendOutputTo
, andappendOutputTo
methods are exclusive to thecommand
andexec
methods.
Task Hooks
Using the before
and after
methods, you may specify code to be executed before and after the scheduled task is complete:
$schedule->command('emails:send')
->daily()
->before(function () {
// Task is about to start...
})
->after(function () {
// Task is complete...
});
The onSuccess
and onFailure
methods allow you to specify code to be executed if the scheduled task succeeds or fails:
$schedule->command('emails:send')
->daily()
->onSuccess(function () {
// The task succeeded...
})
->onFailure(function () {
// The task failed...
});
Pinging URLs
Using the pingBefore
and thenPing
methods, the scheduler can automatically ping a given URL before or after a task is complete. This method is useful for notifying an external service, such as Laravel Envoyer, that your scheduled task is commencing or has finished execution:
$schedule->command('emails:send')
->daily()
->pingBefore($url)
->thenPing($url);
The pingBeforeIf
and thenPingIf
methods may be used to ping a given URL only if the given condition is true
:
$schedule->command('emails:send')
->daily()
->pingBeforeIf($condition, $url)
->thenPingIf($condition, $url);
The pingOnSuccess
and pingOnFailure
methods may be used to ping a given URL only if the task succeeds or fails:
$schedule->command('emails:send')
->daily()
->pingOnSuccess($successUrl)
->pingOnFailure($failureUrl);
All of the ping methods require the Guzzle HTTP library. You can add Guzzle to your project using the Composer package manager:
composer require guzzlehttp/guzzle


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