I did my Bachelor of Engineering in Computer Science (CGPA: 9.25/10) in NMAM Institute if technology ,Nitte ,Karkala. Currently, with a good amount of experience working as a backend developer, in a Startup called Clover Bay Technologies, I’ve gained deep knowledge in reactive microservices with Spring, Couchbase and backend development in general. I was awarded employee of the year, for all my accomplishments and dedication at the workplace. My love for computer science always drives me to innovate, hence, I always tend to find optimal solutions to all business requirements. I am a highly ambitious and performance-driven Software Developer with an unparalleled work ethic and a strong capacity to manage multiple projects on strict timelines that adhere to brand identity and values. As competitive peer who always is learning new technologies, I always try to inspire and get inspired by others. I have strong interests in the field of data science, computer science, web and android technologies. I am always energetic and eager to learn new skills. I have experience in both working as a team and individually.
I aspire to be the best in my field, and want to get renowned for my achievements. Computer Science revolves around logic and ideas, it is an art I want to master. I know there are no shortages of developers in this day and age. However, there is a shortage of good, talented, egoless, developers with ambition to learn. I may not be the most experienced developer that you have met, but the one thing that you can guarantee is that there is nobody that you will work with that will work as hard to develop his skills every day. I am a dependable person who is great at time management and use a creative approach to solve problems. I am always energetic and eager to learn new skills. I am a hardworking person and have experience working as part of a team and individually. I will never stop until I achive my goals.
Skills : Spring Boot | Data Science | Java | Python | Microservices | DBMS | Node | ML | Web | Android
Linkdin ProfileWorking as a lead backend developer an E-commerce B2B web application, which serves millions of business users all around the world. Qalara is an ecommerce website, designed as a buyer-to-buyer service, in this project I’ve developed and have ownership over multiple features and microservices which include Orders management, a platform for Quality inspectors, a panel for creating Purchase orders and also for Reports. All the features I built helped ease the business processes and increased the company’s revenue by 50%. Developed and worked on Order management, Database integration, Reactive Spring API’s, SES mailing, pdf and excel invoice generation, etc.
As part of the final project I worked on a Product Recommendation System using semantic web technology, for which I’ve also created a POC for generating a RDF graph and getting recommendations for a product. Used RDF graph technology, Virtuoso to implement the same.
An app built using react.js with face detection api ,backend using node.js and express.js , and a postgresql database hosted on heroku server give your image url and let the app detect the face .
React Project.
A react project to search for details of dummy robots.
Built with create react app.
A database project with XAMPP and PHP.
Pizza Management
1.Adding Pizzas
2.Deleting Pizzas
Write your own recipies.
A Farmer Loan Management System .
A database project with XAMPP and PHP.
A farmer can Manage ,Apply and Pay his loans .
A simple website made with angular 7 . This website was made with angular 7 and hosted on netlify .It consists of several components , template created for learning purpose .
A model trained to recognize cats and dogs using keras library of tenserflow. CNN is a class of deep neural networks, most commonly applied to analyzing visual imagery.
In this course I learned topics such as Supervised Deep Learning (ANN,CNN,RNN) and Unsupervised Deep Learning (SOM , Boltzmann Machines , Auto encoders) .
A clone of the uber app , Created on the basis of the driver and the rider .
My version of the flappy bird . Made with GDXlib ,On Android SDK ,Challange yourself ,download the app and play .
A native app where you can save and delete your notes .It is built with react native.
A personality test app built with Flutter . Test and see how this app tests you based on simple questions
A game where you need to guess the celebrity by looking at their image .
I created a new encryption standard using the concept of modular multiplicative inverse and integrated it with skipjack encryption standard to make a powerful encryption technique .
I used Ambari web service provided by Hortonworks Docker sandbox .
Tools used :
1.Mapreduce Using Python
2.Spark
3.Hive
4.Zepplin
Email : deonvictorlobo@gmail.com


by Kevin M. Sullivan Version 2015-03-15
Return to the Logistic Regression page
A number of examples are provided on the format to enter data. All examples are based on the Evans County data set described in Kleinbaum, Kupper, and Morgenstern, Epidemiologic Research: Principles and Quantitative Methods, New York: Van Nostrand Reinhold, 1982. The Evans County study was a cohort study of men followed for 7 years. The files are also available as text files to allow the user to cut and paste the example data into the Data Window.
Data can be in two formats - records at the individual level (one record for each individual or whatever the unit of analysis) or the data could be summary information, such as the number of individuals at an exposure level without disease and the number with disease. The data on one line must be separated by a tab or a comma; the examples below use the comma to separate data points. These examples first describe data at the individual level, and then describe summary data.
Data at the individuals level, one exposure variable
Enter or paste the data into the Data Window a dichotomous exposure variable (coded as 1 for exposed and 0 for unexposed) and the outcome variable (coded as 1 for with the outcome and 0 for without the outcome) with the two variables separated by a "," or a tab. For example, in assessing the relationship between an elevated catecholamine level (the exposure of interest, 1= elevated and 0= normal) and coronary heart disease (CHD, the outcome of interest), the records would be formatted as numeric values for:
exposure variable value, outcome variable value
For this example data the number of data points is 609 and the number of predictor variables is 1. The first 10 records from the example data are shown below:
0, 0
0, 0
1, 1
1, 0
0, 0
0, 0
0, 1
0, 0
0, 0
0, 0
... (plus 599 additional lines)
The full data file as a text file can be found here. The results of the analysis would be:
Odds Ratios and 95% Confidence
Intervals...
Variable O.R. Low -- High
1 2.8615 1.6878
4.8514
The interpretation would be that individuals with elevated catecholamine levels have a 2.8615 greater odds of developing CHD compared to individuals with normal catecholamine levels.
[A note on coding the exposure variable: The above example coded the exposed as 1 and unexposed as 0, and the odds ratio was calculated comparing the odds of being coded as 1 to being coded as 0 - note that those coded as 0 are the referent group. If you code the exposure as 1 and 2, the smaller number will be treated as the referent group, which in this example is 1. The odds ratio for a 2/1 coding scheme would be the odds of disease for those coded as 2 compared to the odds in those coded as 1.]
[A note on coding the outcome variable: The outcome variable must be coded as 1 for those with the outcome and 0 for those without the outcome.]
If the exposure variable is continuous, you can use the numeric value (which assumes the relationship is linear on a logit scale). For example, in assessing the relationship between age and CHD, the number of data points is 609 and the number of predictor variables is 1, and the first ten records would look like as shown below (data as a text file can be found here):
56, 0
43, 0
56, 1
64, 0
49, 0
46, 0
52, 1
63, 0
42, 0
55, 0
... (plus 599 additional lines)
The results of the analysis would be:
Odds Ratios and 95% Confidence
Intervals...
Variable O.R. Low -- High
1 1.0454 1.0189 1.0727
The interpretation would be that for every one year increase in age, the odds of CHD increased by a factor of 1.0454 (or by about 4.5%).
Data at the individuals level, two exposure variables - no interaction model
If there is more than one exposure variable, list the exposure variables first and the outcome variable last. For example, say the investigator wants to determine the simultaneous effect of catecholamine and cigarette smoking (1=smoker, 0=nonsmoker) on CHD, the data would be:
first exposure variable value, second exposure variable value, outcome variable value
For this example data the number of data points is 609 and the number of predictor variables is 2. The first 10 records from the example data are shown below with the variable being catecholamine, smoking, and CHD and the data in a text file is here:
0, 0, 0
0, 1, 0
1, 1, 1
1, 1, 0
0, 1, 0
0, 1, 0
0, 1, 1
0, 0, 0
0, 1, 0
0, 0, 0
... (plus 599 additional lines)
The results of the analysis would be:
Odds Ratios and 95% Confidence
Intervals...
Variable O.R. Low -- High
1 2.9074 1.7079 4.9492
2 2.0000 1.1206 3.5695
The interpretation would be that individuals with an elevated catecholamine level ("Variable 1" in the above output) have an odds of CHD about 2.9 times greater than those with normal catecholamine levels controlling for cigarette smoking. Cigarette smokers ("Variable" 2 in the above output) have twice the odds (2.0) of CHD compared to nonsmokers controlling for catecholamine (elevated vs. normal).
Data at the individuals level, two exposure variables - interaction model
If you would like to assess the interaction between two variables, there will need to be an interaction term. Using the data from the previous example, the question might be whether cigarette smoking modifies the catecholamine->CHD relationship. The interaction term is simply multiplying the value for catecholamine times the value for smoking, of which there are only four possibilities with these two variables:
| Catecholamine | Smoking | Interaction | ||
| 1 | x | 1 | = | 1 |
| 1 | x | 0 | = | 0 |
| 0 | x | 1 | = | 0 |
| 0 | x | 0 | = | 0 |
The data would be in the following format:
first exposure variable value, second exposure variable value, interaction value, outcome variable value
For this example data the number of data points is 609 and the number of predictor variables is 3. The first 10 records from the example data are shown below with the variables being catecholamine, smoking, the catecholamine-smoking interaction, and CHD and the data file as text can be found here:
0, 0, 0, 0
0, 1, 0, 0
1, 1, 1, 1
1, 1, 1, 0
0, 1, 0, 0
0, 1, 0, 0
0, 1, 0, 1
0, 0, 0, 0
0, 1, 0, 0
0, 0, 0, 0
... (plus 599 additional lines)
The results of the analysis would be:
Coefficients and Standard Errors...
Variable Coeff. StdErr p
1 1.3953 0.5187
0.0072
2 0.8653 0.3864
0.0251
3 -0.4498 0.6092 0.4603
Intercept -2.9267
Odds Ratios and 95% Confidence Intervals...
Variable O.R. Low -- High
1 4.0360 1.4601
11.1562
2 2.3758 1.1141
5.0661
3 0.6377 0.1932
2.1049
The interpretation would be that the interaction is not statistically significant (p-value for variable 3 = 0.4603) and could be removed from the model. Another way to tell that the interaction is not significant is based on the odds ratio confidence interval for the interaction term; the null value (when there is no interaction) for an interaction term is 1; the 95% confidence interval for the odds ratio around the interaction term goes from 0.1932 to 2.1049 which includes the "null value" of 1.
Summary data, one exposure variable
This program can also analyze summary data. For example, the table below summarizes information on 609 individuals by exposure (catecholamine) and disease (CHD):
| Elevated Catecholamine? | CHD (Disease variable) | |
| (Exposure variable) | Yes (1) | No (0) |
| Yes (1) | 27 | 95 |
| No (0) | 44 | 443 |
The data can be entered as summary data in two lines in the format:
exposure variable level, number without disease at this exposure level, number with disease at this exposure level
For this example data the number of data points is 2, the number of predictor variables is 1, and check the summary data box. The complete example data are shown below with the variable being exposure category, number without CHD in exposure category, and number with CHD in exposure category. You could copy these data and paste them in the Data Window.
1, 95, 27
0, 443, 44
The results of the analysis would be as follows, exactly the same as the Data at the individuals level, one exposure variable example shown previously based on the same data.
Odds Ratios and 95% Confidence
Intervals...
Variable O.R. Low -- High
1 2.8615 1.6878 4.8514
Summary data, two exposure variables
In this example is described a situation where there are two exposure levels, one considered as the primary exposure of interest and another as potentially an effect modifier, confounder, significant independent exposure, or none of these. As an example, an investigators are interested in the relationship between an elevated catecholamine and CHD, but want to determine if this relationship is affected by the smoking status of the individual. The data are as follows:
Smoke = Yes (1)
| Elevated Catecholamine? | CHD (Disease variable) | |
| (Exposure variable) | Yes (1) | No (0) |
| Yes (1) | 19 | 58 |
| No (0) | 35 | 275 |
Smoke = No (0)
| Elevated Catecholamine? | CHD (Disease variable) | |
| (Exposure variable) | Yes (1) | No (0) |
| Yes (1) | 8 | 37 |
| No (0) | 9 | 168 |
First, to see if smoking modifies the catecholamine->CHD relationship, enter data to determine if the interaction between catecholamine and smoking is statistically significant. The interaction level would be determined similarly to that described previously.
exposure variable 1 level, exposure variable 2 level, interaction level, number without disease at this level, number with disease at this level.
For this example data the number of data points is 4, the number of predictor variables is 3, and check the summary data box. The complete example data are shown below with the variables being cateholamine category, smoking category, interaction category, number without CHD at these levels, and number with CHD at these levels. You could copy these data and paste them in the Data Window.
1, 1, 1, 58, 19
0, 1, 0, 275, 35
1, 0, 0, 37, 8
0, 0, 0, 168, 9
The results of the analysis would be:
Coefficients and Standard Errors...
Variable Coeff. StdErr p
1 1.3953 0.5187
0.0072
2 0.8653 0.3864
0.0251
3 -0.4498 0.6092 0.4603
Intercept -2.9267
Odds Ratios and 95% Confidence Intervals...
Variable O.R. Low -- High
1 4.0360 1.4601
11.1562
2 2.3758 1.1141
5.0661
3 0.6377 0.1932
2.1049
The interpretation would be that the interaction is not statistically significant (p-value for variable 3 = 0.4603) and could be removed from the model.
To determine whether smoking confounds the catecholamine->CHD association, two odds ratios are needed, a "crude" odds ratio from a logistic regression model with just catecholamine as a predictor of CHD which was 2.8615, and a logistic regression model with two predictors in the model, catecholamine and smoking. The general format for the summary data is:
exposure variable 1 level, exposure variable 2 level, number without disease at this level, number with disease at this level
For this example data the number of data points is 4, the number of predictor variables is 2, and check the summary data box. The complete example data are shown below with the variables being cateholamine category, smoking category, number without CHD at these levels, and number with CHD at these levels. You could copy these data and paste them in the Data Window.
1, 1, 58, 19
0, 1, 275, 35
1, 0, 37, 8
0, 0, 168, 9
The results of the analysis would be:
Odds Ratios and 95% Confidence
Intervals...
Variable O.R. Low -- High
1 2.9074 1.7079 4.9492
2 2.0000 1.1206 3.5695
The interpretation would be that individuals with an elevated catecholamine level ("Variable 1" in the above output) have an odds of CHD 2.9074 times greater than those with normal catecholamine levels controlling for cigarette smoking. Cigarette smokers ("Variable" 2 in the above output) have twice the odds (2.0000) of CHD compared to nonsmokers controlling for catecholamine (elevated vs. normal). For the question of whether or not smoking confounds the catecholamine->CHD association, compare the crude odds ratio (2.8615) with the odds ratio adjusted for smoking (2.9074) - as a general rule, if these two differ by 10% or more, then confounding is present; if less than 10%, there is not an important amount of confounding. (Note that some investigators may choose to define confounding differently, perhaps at a 5% difference.) In this example, there is little evidence of confounding. However, smoking does seem to be an important independent predictor of CHD when controlling for catecholamine.
Return to the Logistic Regression page,
or to the Interactive Statistics main page,
or to the JCP Home Page


General querying cpus data class.
More...
#include <queryresource.h>
General querying cpus data class.
| void CpuQuery::getAllInstantCPUs |
( |
std::vector< std::vector< float > > & |
cache | ) |
|
This procedure generate a 1D matrix with all the current cpu value, it wont generate a cache but only istant value, the structure of the data will be as many columns as cores + 1 and one row
- Parameters
-
| cache | : the structure in which to store the data |
| const std::vector< float > & CpuQuery::getCpuCache |
( |
const int & |
coreIDx | ) |
|
This procedure returns a vector containing the cache for the given cpu index
- Parameters
-
| coreIDx | : which core to query |
| void CpuQuery::getCPUs |
( |
| ) |
|
This procedure parse the "/proc/stat" file to query the cpu data, then you can query the the data stored internally in the class with one of the method below
| void CpuQuery::getInstantCPU |
( |
const int & |
coreIDx, |
|
|
std::vector< std::vector< float > > & |
cache |
|
) |
| |
This procedrue get the instant cpu usage of the cpu index provided
- Parameters
-
| coreIDx | : the index of the cpu you want to query, it ranges from zero to numberOfCores included where the zero index is an average of all cpus.
Example : if you have an 8 core cpu in order to get the value for the 8th cpu you need to query for the 8 index and not the 7th as you might have expected |
| cache | : where to store the data, the cache is dinamically resized to a 1D matrix with one row and number of columns equal to the private attribute m_cacheSize |
| int CpuQuery::getNumberOfCores |
( |
| ) |
|
This procedure returns the number of core of our cpu
- Returns
- int : The number of cores
| void CpuQuery::getOrderedCpuCache |
( |
const int & |
coreIDx, |
|
|
std::vector< std::vector< float > > & |
cache |
|
) |
| |
This procedure gets an ordered cpu for the given core index the cache internally is not ordered, in order to save in memory copies the start index of the cache is looping trough the lenght of the cache meaning that when you acces the data , the start of the cache wont be at index 0. This procedure reoders the cache and stores it in the provided vector
- Parameters
-
| coreIDx | : which core to query |
| cache | : the structure in which to store the data |
| void CpuQuery::getOrderedCpusCache |
( |
std::vector< std::vector< float > > & |
cache | ) |
|
This procedure gathers all the ordered caches for all cpus
- Parameters
-
| cache | : the structure in which to store the data |
The documentation for this class was generated from the following files:
- /home/giordi/WORK_IN_PROGRESS/tempwidget/dataQuery/queryresource.h
- /home/giordi/WORK_IN_PROGRESS/tempwidget/dataQuery/queryresource.cpp


| Students | |||||
|---|---|---|---|---|---|
| Student | Self review link | Status | Number not started | Number in progress | Number completed (within this group) |
| [{{item.submission.group_submitted.name}}] {{item.graded_by.display_name}} | Open review | {% if item.status == 'C'%} Completed {% elif item.status == 'P'%}In progress {% else %} Not started {%endif%} | {{item.summary_stats.learner_grader_not_started}} | {{item.summary_stats.learner_grader_inprogress}} | {{item.summary_stats.learner_grader_completed}} |


{{ _('RESULTS') }}
{{ _("The different sections of this page present the results of your analysis, based on the concept of life cycle assessment. Each relevant phase of the life cycle of the vehicle is considered and characterized against environmental and economic indicators.") }}
{{ _("This is a useful tool when comparing technologies that have environmental hotspots at different phases of the life cycle of a vehicle.") }}
{{ _('REFERENCE') }}
{{ _('Any use of the results or inventories under any form should be referenced as following:') }}
When, where and how can the electrification of passenger cars reduce greenhouse gas emissions?
Sacchi R., Bauer C., Cox B., Mutel C.
Renewable and Sustainable Energy Reviews. Article (PDF).
carculator online (1.3.1), carculator (1.8.2)
{{ _('VEHICLES SUMMARY') }}
{{ _("Here are the vehicles parameters considered for the results presented below (limited to 6 vehicles).") }}
{{ _("If you wish to modify some of these parameters (fuel blends, engine efficiency, battery size, etc.) or if you wish to add other vehicles (other sizes, other years of manufacture), go to the ") }} {{ _("CONFIGURATION") }} {{ _("(login required, registration and use are completely free).") }}
|
|
{{ _('LIFE CYCLE IMPACT ASSESSMENT - MIDPOINT INDICATORS') }}
{{ _("By default, the chart below shows the environmental impacts in terms of greenhouse gas emissions emitted for each vehicle, per km driven. The results are sub-divided into categories: powertrain, maintenance, fuel manufacture, energy storage, etc. The user can change the environmental indicator using the list on the left. The user can isolate some of the impact categories by clicking them out from the legend area.") }}
{{_('Impacts per kilometer')}} |
|||
|---|---|---|---|
|
|||
|
|
{{ _('Accumulated impacts over lifetime') }} |
{{ _('Midpoint indicators normalized by the average annual impact of a person') }} |
|||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
{{ _("The graph below illustrates the accumulated impacts of the vehicles along their use phase. The intercept of the slope represents the impacts associated with the production of the vehicle, occurring before the use phase, while the slope illustrates variable emissions associated with the preparation of the fuel (or generation of the electricity) and direct exhaust and non-exhaust emissions. You may select an impact category to consider from the dropdown menu below.") }} |
{{_('This graph shows midpoint indicators normalized by the average impacts of a person in 2010. This helps identify which midpoint indicators are the most relevant. You can add or remove indicators to consider.')}} {{_('Because these indicators are normalized, they are not expressed in their original unit, but as a fraction of the impact of an average person over the year 2010.')}} {{_('Source for normalization factors and recommendations:')}} European Commission, 2017
|
|||||||||||||||||||||||||||||
|
|
{{ _('LIFE CYCLE IMPACT ASSESSMENT - SINGLE SCORE') }}
{{ _("The environmental midpoint indicators listed above are characterized and grouped into three main endpoint indicators, namely: damage to human health, damage to ecosystems and resources depletion. These indicators are further monetized to obtain external costs on the environment, according to the StepWise2006 method. This allows to compare them to the cost of ownership (Euro) and obtain a single score by adding them up. The user can adjust the importance to be given to the three environmental indicators as well as the cost of ownership to produce a specific ranking. To remove the cost of ownership from the results and keep environmental indicators only, move the right-most handle of the slider to the right.") }}
| {{_("Human health impacts")}} | {{_("Ecosystem impacts")}} | {{_("Resource depletion")}} | {{_("Cost of ownership")}} |
|---|---|---|---|
{{ _('Midpoint indicators weighted contribution to single score') }} |
{{ _('Endpoint indicators contribution to single score') }} |
||
{{ _('BENCHMARK') }}
{{ _("This section compares the distance that can be driven by each vehicle given a life cycle budget.") }}
{{ _("How long can the vehicles drive on a life cycle budget of 1") }} ?
{{ _('OTHER INDICATORS') }}
{{ _('Tank-to-Wheel cumulated energy consumption along driving cycle') }} |
{{ _('GHG emissions vs. ownership costs') }} |
|---|---|
|
{{ _("The graph below shows the accumulated Tank-to-wheel energy required to perform the driving cycle. That is the energy required in the fuel tank of the vehicle to drive a given distance, including energy losses at different levels (due to engine efficiency, gearbox inefficiency, charge and discharge efficiency of the battery, etc.). Note that electric vehicles, such as battery electric vehicles or fuel cell vehicles, can partly recover the energy released during braking, which explains the downward sections of their slope.") }} |
{{ _("The graph below illustrates trade-off between environmental performance (in terms of greenhouse gas emissions) and cost of acquisition and use.") }} |
|
|
|


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kevson's reply
The experience was as expected.
The move was hustle free.
KEEP IT AT THAT
Sara's reply
Reliable, fast & convenient.
A great experience indeed!!
Dev's reply
i had the best time-travel with the relocation company
it was safe & enjoyable. looking forward to the next move
Thanks to the drivers for catering our needs


WELCOME TO MY PORTFOLIO!
Data Science
Movement Activity Patterns
Economic Impact of Natural Disasters
Cars: AUTO VS MANUAL - Best MPG? Debate with Regression Analysis
Workout Predictions with Machine Learning
Leaflet Map of Overwatch E Sports team
Math Checker App - Shiny App
Math Checker Presentation
Temp VS Pressure Leaflet Plot - Presentation
Web Development
[UNDER CONSTRUCTION]
Load Manager
App Development
[FULL PROJ]
Creating Onenote pages via API


============= Meeting 16-May-2012 =============
Agenda
======
1. How to get to pvAccess 2nd public working draft (*Matej*)
pvAccess Spec 2pwd hasn't been published yet (email to tech-talk == publication in my view).
Need AIs and definitive publication date.
Ben has made comments, have they been answered?
2. How to get to eget with rpc support done and available (Matej, Greg, Michael)
Presently eget knows only NTtable, and using an assumption about how to form a query.
With eget deserialization and rendering examples, pvmangager changes should be v easy.
Need AIs assigned with delivery dates for pvget and its prerequisites. Verify
prerequisites are only completion of Normative Types to 1PWD:
a. NTQuery or at least a normative pattern for service queries (*Greg*)
b. NT self-id (yes I know, overdue, *Greg*).
c. "NTContinuum" (*Michael*)
3. Architectures doc
I'd like to get the Architectures doc up to release as a normative document and published.
For that I think it needs references to be added (Dirk couldn't use it to answer his questions
about how, in code, to collect V3 PVs and package them into a V4 pvData. This is a clearly
predictable use case, so I think we have to add references and example code.
Also Discussed:
source code status.
What are requirements for the workshop meeting
IPAC meeting contribution
[1] http://epics-pvdata.sourceforge.net/home.html#meeting
------------------------ Minutes ----------------------------
Present: BD, JR, DH, GS, GS, AM
Scribe: GS
http://epics-pvdata.sourceforge.net/literature.html#talks
************
NEW TOPIC: How to get to pvAccess 2nd public working draft
************
GW: Bob should NOT announce today
BD: Is RPC used for RDB related service?
GS: Yes, RPC used by MASAR
GW: Appendix should then include what is not presently in the spec (per Ben's email). When it should that be finished?
GW: propose by next Wed
GW: We should make a resolution to publish
**********
AI: Matej by Tue (5/22), part appendix are missing, specically pvRequest are listed,
and "Status of this Document" lists what is missing.
**********
**********
RESOLUTION: We will publish pvAccess 2nd public working draft, subject to addtion of an
appendix that lists important missing aspects, and a reference to that appendix in the Status of this Document.
**********
**********
AI: Bob will announce 2nd public working draft by email to tech-talk by Wed (5/23)
**********
************
NEW TOPIC: How to get to eget with rpc support
************
GW: a demo available, but not standard
GW: promises to define NTQuery and how NT self-id will be done
We will make a formal Normative Type document to public working draft
DH: original proposal to add ID to data, type info into channel connection on SLAC meeting. Any resolution for that?
GW: Minutes not complete enough, lost result. Might need to start the process again
DH: on the mailing list. NT type has a member, string id. Possible encode the type info?
GW: promises to complete a draft including service interfaces and self-id by Fri 5/25. Recover self-id proposals from e-mail
DH: It would be better to encode NTtype info into the introspection tyep information
GW: Will that not bind NT type to protocol support?
JR: keep protocol simple, always has the name of type, encode as string with type info, but not payload info
DH/JR: Propose that NT self id is done by name of a field rather than value. In this way the
NT type can be exchange in type information.
GS/GW: How would then a genral purpose client determine which type it got - it would have to test for every
normative type.
DH: Use a practice that the type information is the first type.
DH: Say you received a PV structure, with a sequence of fields of that structure, indexed by int and also hae a name.
Then if a client conforms to the practice that checks for nt field type name first, then that is efficient.
DH: Put a structure called "normativeType" with a field called "NT<type>".
GW: +1
DH: Shall I write this up and email it?
GW: I think the summary line above is pretty clear, so no need.
**********
AI: GW by Fri 5/25, Add standard interface for RPC service + proposal self-identification for NT types, to Normative Types document
**********
************
NEW TOPIC: Architectures doc
************
GW: Arch doc at least need references, need examples
JR: link to SCM repo example?
GW: yes
GW: each architecture schema needs to inlude which facilities of EPICS V4 it is using, and give a reference to examples.
JR: so add lots of hyperlinks?
GW: Yes
GW: publish it by email to tech-talk. How long will it take to add the examples?
JR: about month
**********
AI: JR by 6/04 add example links to arch doc.
**********
********
NEW TOPIC: source code status.
********
GS: Presently the C++ implementations of pvAccess (possibly also pvData against gcc 4.6.1) can't be
compiled.
GW: marty reported that the heads don't compile for C++
GS: well, it's been a month!
GW: - will send email asking what the status of the C++ heads is.
GS: Good
GW: Any other business?
------------------------------------
DH: What are requirements for the workshop meeting
Enough room for say 16 people
Whiteboard
Power for all laptops
Overhead projector "beamer"
BD: There will be an EPICS V4 meeting at IPAC.
GW: Timo has a prototype orbit service that uses the gather service. He may be able to give examples.
GW will talk to Timo about giving bob a screen shot by early next week, so it can be used at IPAC.
GW: Will withdraw the withdrawl for IPAC! Bob will make the poster!


BREAKING NEWS: Spain call news conference amid reports of Luis Enrique replacing Moreno
by OmnisportThe Royal Spanish Football Federation (RFEF) has called a news conference for Tuesday amid reports Luis Enrique will replace Robert Moreno as Spain coach.
Moreno did not address the media after a 5-0 victory over Romania at the Wanda Metropolitano on Monday rounded off a successful Euro 2020 qualifying campaign.
The RFEF subsequently announced president Luis Rubiales and sporting director Jose Francisco Molina would speak to journalists at 12:30 local time (11:30 GMT) on Tuesday.


Cook, Dayton heat up to smoke Marist 59-35
by EndPlayDAYTON, Ohio (AP) - Jack Cook threw four touchdown passes and ran for another and Dayton defeated Marist 59-35 on Saturday.
The Flyers (5-3, 3-2 Pioneer) amassed 519 yards, were 6 of 12 on third-down conversions and converted all four fourth-down conversion attempts.
Cook threw for 244 yards on 13-of-19 passing. Jake Chisholm ran for 151 yards on 16 carries with a touchdown. Jack Albers and Riche Warfield added touchdowns on the ground. Dayton ran it 45 times for 275 yards and held the ball for 32½ minutes.
After a 7-all tie at the end of the first quarter, Cook threw back-to-back scoring passes to Adam Trautman for 3 and 11 yards. He added another 6½ minutes before halftime - a 59-yard scoring pass to Ryan Skibinski - for a three-touchdown lead. Austin Day reduced the deficit to 28-14 with 14 seconds before intermission.
Albers' 10-yard run with 1:59 to play gave Dayton its largest lead at 31 points (59-28).
Day threw for 262 yards and three scores for Marist (3-5, 3-2).


Haiku by the Gilt Tech Team in Japan
A snapshot from a recent Facebook event in Tokyo–that’s our mobile app on the screen! (First cupcakes, and now this? Facebook, we dedicate the following poetry to you as a small expression of our gratitude.)
The #gilttech team in Japan is getting into fall in a most poetic way–offering up these lovely haiku for our collective enjoyment. We highly recommend reading these poems while drinking some spiced tea.
Haste thou shall not.
On Friday leisurely meet
the rest of the week. – Paul de Mercey
QA login now sync
/looks optimizations
warm Friday is nice :-) – Mauro Bellati
きんようび
みんなだいすき
きんようび – Hinako Matsuura
Thanks god it’s Friday
Beer, steak, beer, steak, beer, steak, beer
Thanks god it’s Friday. –Ryoi Qiu
50-50 please
Pierre, Mauro, please please please
50 50, please. –Thomas Tachibana
Oh Thomas, my friend
if 50-50 you want
simply ask and wait. – Mauro Bellati
えいごでの
はいくはちょっと
ふしぎよね – Asako Kohno
Autumn approaches
our releases pile high
add to the pile. –Kyle Barrow
Gilt on apple.com
beautiful work on display
happy Friday, all. – Christopher Gonzalez
A cancelled all-hands,
alone I ponder softly
on progress well made. – Ade Trenaman
What fountain of verse!
Friday’s adventurous minds
With beautiful code – William Metcalfe


KAT vs QAL Dream11 Prediction, Fantasy Cricket Tips & Playing XI Updates for Today's T10 League 2019 Match - Nov 21st, 2019
by Dwijesh ReddyThe second match on Thursday pits Karnataka Tuskers against Qalandars in Match 20 of the Abu Dhabi T10 League 2019. Both teams are desperately in need of a win in this game. Both teams have three points to their names and will be eliminated if they fail to get the points in this game.
Although both sides look evenly matched on paper, Karnataka Tuskers have been more impressive with Hashim Amla and Johnson Charles in very good form. Nevertheless, a high-octane do-or-die clash is set to kickstart a series of eliminations in the tournament with Karnataka Tuskers and Qalandars looking to live another day. Here are a few tips to help you pick your Dream11 team.
Squads to choose from:
Karnataka Tuskers:
Hashim Amla(C), Evin Lewis, Johnson Charles, Ross Whiteley, Ryan Ten Doeschate, Kesrick Williams, Fabian Allen, Marlon Samuels, Ahmed Raza, Shafiqullah Shafiq, Sandeep Lamichhane, Pat Brown, Shapoor Zadran, Nathan Rimmington and Asad Pathan.
Qalandars:
Dawid Malan(C), Tom Banton, Luke Ronchi, Philip Salt, Laurie Evans, Jordan Clark, Chris Jordan, Seekuge Prasanna, Samit Patel, Lahiru Kumara, George Garton, Sultan Ahmed, Mujeeb ur Rahman, Hassan Khalid.
Playing XI Updates:
Karnataka Tuskers:
With their previous game being washed out, no changes are expected from the Tuskers. Their opening duo of Evin Lewis and Johnson Charles is one of the most explosive ones in the tournament and will be key along with the captain, Hashim Amla. They have a lot of experience in the bowling unit with Nathan Rimmington and Kesrick Williams expected to work in tandem. Sandeep Lamichhane is one to watch out for with his leg-spin.
Possible XI: Lewis, Charles, Amla(C), Whiteley, ten Doeschate, Shafiq (WK), Raza, Williams, Rimmington, Lamichhane and Shapoor.
Qalandars:
With this being a must-win game for the Qalandars, they should field their strongest side for this game. Tom Banton and Dawid Malan have impressed but are yet to fire in unison. Along with Luke Ronchi, their hopes of qualification depend upon them. They have a long batting unit as well with Chris Jordan and Seekuge Prasanna batting at six and seven. The addition of Mujeeb ur Rahman should rejuvenate their bowling unit which seems to be heavily dependant on Chris Jordan at the moment.
Possible XI: Banton, Ronchi (WK), Malan(C), Salt, Sultan Ahmed, Jordan, Mujeeb, Garton, Prasanna, Kumara, Clark
Match Details:
Karnataka Tuskers vs Qalandars, Match 20
21st November 2019, 7:15 PM IST
Sheikh Zayed Cricket Stadium, Abu Dhabi
Pitch Report:
A decent batting track awaits the two sides with 100 being a bare minimum here. Although the dimensions of the ground are relatively bigger, teams should be able to make good use of the pitch. There isn't much swing on offer for the pacers with off pace deliveries being key
Fantasy Tips and Suggestions:
Wicket-keeper: Both Luke Ronchi and Johnson Charles are preferred for this game with both of them due for some runs at the top of the order. While Charles has scored 105 runs so far, Ronchi is yet to fire and will hope to do so in this game.
Batsmen: Evin Lewis had a decent start to T10 League 2019 although he is capable of scoring more than what he managed against the Deccan Gladiators. While he is one player to have in the side, Tom Banton and Dawid Malan should also find a place in the side. Both of them have scored a fifty each so far and will look to fire in this crucial game. As for the final option, one of Hashim Amla or Ross Whiteley should also suffice
Allrounders: Jordan Clark is a handy player to have in the fantasy side with the Surrey allrounder chipping in with a wicket or two along with useful runs in the death overs. Along with the Qalandars all-rounder, Nathan Rimmington should get the nod over Ahmed Raza, although the UAE all-rounder has also impressed with five wickets in four games so far.
Bowlers: Chris Jordan is one of the best death bowlers in the competition and should find a place in most fantasy teams. He is also capable of scoring vital runs in the back end which makes him a handy option. While one of Mujeeb or Kumara would also do, all eyes will be upon Sandeep Lamichhane, who is Karnataka Tuskers' best bet with the ball. Along with the aforementioned trio, the likes of Kesrick Williams and Shapoor Zadran would also fit the bill for this game.
Captain: Evin Lewis is in very good touch with the former Mumbai Indians opener scoring a fifty against Afghanistan in the recently concluded T20I series. While the south-paw takes up one multiplier option, the likes of Johnson Charles and Tom Banton would also be a safe bet to score some runs on Thursday.
Fantasy Suggestion #1: Luke Ronchi, Johnson Charles, Tom Banton, Dawid Malan, Evin Lewis, Jordan Clark, Ahmed Raza, Mujeeb ur Rahman, Chris Jordan, Sandeep Lamichhane and Kesrick Williams. Captain: Tom Banton, Vice-Captain: Evin Lewis
Fantasy Suggestion #2: Johnson Charles, Dawid Malan, Philip Salt, Tom Banton, Evin Lewis, Jordan Clark, Nathan Rimmington, Lahiru Kumara, Chris Jordan, Sandeep Lamichhane and Kesrick Williams. Captain: Johnson Charles, Vice-Captain: Tom Banton


Description: Selects the last matched element.
Note that :last
selects a single element by filtering the current jQuery collection and matching the last element within it.
:last
is a jQuery extension and not part of the CSS specification, queries using :last
cannot take advantage of the performance boost provided by the native DOM querySelectorAll()
method. To achieve the best performance when using :last
to select elements, first select the elements using a pure CSS selector, then use .filter(":last").
<!DOCTYPE html>

First Row

Middle Row

Last Row


Preparation time
overnight
Cooking time
30 mins to 1 hour
Serves
Serves 4
Pork chops in a rich creamy sauce served with a luxurious mash. The chops are brined overnight for extra succulence.
For the pork brine, combine all the ingredients in a large pan. Add 1.1 litres/2 pints water and bring to the boil. Remove from the heat, strain through a fine sieve and chill in the fridge overnight.
For the sauce, heat a medium saucepan and drizzle in enough vegetable oil to just cover the base of the pan. Gently fry the chopped shallot, peppercorns, thyme and bay leaf until the shallots are tender. Increase the heat to high, add the vinegar, wine and brandy. Cook until most of the liquid has evaporated and the shallots are almost dry. Add the veal and chicken stock and reduce until almost dry again. Stir in the cream and bring to the boil. Strain through a fine sieve and set aside until ready to serve.
For the pomme purée, put the potatoes in a pan with enough cold, salted water to cover. Over medium-high heat bring the potatoes the boil, then reduce heat and simmer until the potatoes are tender.
Meanwhile, heat a knob of butter and a little oil in a frying pan. Take the pork chops from the brine and pat them dry with kitchen paper. When the butter is foaming, fry the pork chops for approximately 3½ minutes on each side, or until cooked through. Set aside to rest for 5 minutes.
While the potatoes are hot, peel them and put the flesh through a ricer, working quickly to ensure the potatoes stay hot (alternatively mash the potatoes thoroughly). Once the potatoes have been mashed, pass them through a sieve and place them in a pan with the melted butter and cream. Whisk until combined, season to taste with salt and pepper.
To serve, gently warm the sauce, and stir in the cornichons, capers, mustard and parsley. Carve the chops and serve in the sauce with the pomme purée alongside.


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface ReadWriteLock
A ReadWriteLock maintains a pair of associated locks
, one for read-only operations and one for writing.
The read lock
may be held simultaneously by
multiple reader threads, so long as there are no writers. The
write lock
is exclusive.
A read-write lock allows for a greater level of concurrency in accessing shared data than that permitted by a mutual exclusion lock. It exploits the fact that while only a single thread at a time (a writer thread) can modify the shared data, in many cases any number of threads can concurrently read the data (hence reader threads). In theory, the increase in concurrency permitted by the use of a read-write lock will lead to performance improvements over the use of a mutual exclusion lock. In practice this increase in concurrency will only be fully realized on a multi-processor, and then only if the access patterns for the shared data are suitable.
Whether or not a read-write lock will improve performance over the use of a mutual exclusion lock depends on the frequency that the data is read compared to being modified, the duration of the read and write operations, and the contention for the data - that is, the number of threads that will try to read or write the data at the same time. For example, a collection that is initially populated with data and thereafter infrequently modified, while being frequently searched (such as a directory of some kind) is an ideal candidate for the use of a read-write lock. However, if updates become frequent then the data spends most of its time being exclusively locked and there is little, if any increase in concurrency. Further, if the read operations are too short the overhead of the read-write lock implementation (which is inherently more complex than a mutual exclusion lock) can dominate the execution cost, particularly as many read-write lock implementations still serialize all threads through a small section of code. Ultimately, only profiling and measurement will establish whether the use of a read-write lock is suitable for your application.
Although the basic operation of a read-write lock is straight-forward, there are many policy decisions that an implementation must make, which may affect the effectiveness of the read-write lock in a given application. Examples of these policies include:
ReentrantReadWriteLock
,
Lock
,
ReentrantLock
| Method Summary | |
|---|---|
Lock |
readLock()
Returns the lock used for reading. |
Lock |
writeLock()
Returns the lock used for writing. |
| Method Detail |
|---|
Lock readLock()
Lock writeLock()
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


The words "line one" should appear on a single line above, and the words "line two" should appear on a single line below.


Transit Arrivals
This site makes use of the Trimet Developer API to display arrival info for the stop ID entered.
Enter Stop ID
Get Arrivals


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| Package | Description |
|---|---|
| rr.barrier | |
| rr.event | |
| rr.simple | |
| rr.state | |
| rr.tool |
| Class and Description |
|---|
| Event
Common superclass of all events.
|
| Class and Description |
|---|
| AccessEvent
Represents an access (read or write) event by the target program.
|
| AccessEvent.Kind
What kind of access:
FIELD: to a (static or non-static) non-volatile field;
ARRAY: to an array element;
or VOLATILE to a (static or non-static) volatile field.
|
| Event
Common superclass of all events.
|
| FieldAccessEvent
Represents field accesses (reads or writes) performed by the target program.
|
| Class and Description |
|---|
| AccessEvent
Represents an access (read or write) event by the target program.
|
| AcquireEvent
An event that represents an acquire operation of the target program.
|
| ClassInitializedEvent
An event generated when the JVM finishes initializing the static fields of a
class.
|
| InterruptEvent
An Event generated when one thread explicitly invokes interrupt on another.
|
| JoinEvent
Represents a call to Thread.join by the target program.
|
| MethodEvent
Represents a method call or return operation in the target program.
|
| NotifyEvent
Represents a call to Object.notify() or Object.notifyAll() in the target program.
|
| ReleaseEvent
Represents a release event (end of a synchronized block or method) of the target program.
|
| SleepEvent
Represents a call to Thread.slepp() in the target program.
|
| StartEvent
Represents a call to Thread.start() in the target program.
|
| VolatileAccessEvent
Represents an access to a volatile variable by the target program.
|
| WaitEvent
Represents a call to Object.wait() by the target program.
|
| Class and Description |
|---|
| AcquireEvent
An event that represents an acquire operation of the target program.
|
| ArrayAccessEvent
An Event representing an array access (read or write) operation of the target program.
|
| ClassInitializedEvent
An event generated when the JVM finishes initializing the static fields of a
class.
|
| FieldAccessEvent
Represents field accesses (reads or writes) performed by the target program.
|
| InterruptEvent
An Event generated when one thread explicitly invokes interrupt on another.
|
| JoinEvent
Represents a call to Thread.join by the target program.
|
| MethodEvent
Represents a method call or return operation in the target program.
|
| NotifyEvent
Represents a call to Object.notify() or Object.notifyAll() in the target program.
|
| ReleaseEvent
Represents a release event (end of a synchronized block or method) of the target program.
|
| SleepEvent
Represents a call to Thread.slepp() in the target program.
|
| StartEvent
Represents a call to Thread.start() in the target program.
|
| VolatileAccessEvent
Represents an access to a volatile variable by the target program.
|
| WaitEvent
Represents a call to Object.wait() by the target program.
|
| Class and Description |
|---|
| AccessEvent
Represents an access (read or write) event by the target program.
|
| AcquireEvent
An event that represents an acquire operation of the target program.
|
| ClassInitializedEvent
An event generated when the JVM finishes initializing the static fields of a
class.
|
| InterruptEvent
An Event generated when one thread explicitly invokes interrupt on another.
|
| JoinEvent
Represents a call to Thread.join by the target program.
|
| MethodEvent
Represents a method call or return operation in the target program.
|
| NotifyEvent
Represents a call to Object.notify() or Object.notifyAll() in the target program.
|
| ReleaseEvent
Represents a release event (end of a synchronized block or method) of the target program.
|
| SleepEvent
Represents a call to Thread.slepp() in the target program.
|
| StartEvent
Represents a call to Thread.start() in the target program.
|
| VolatileAccessEvent
Represents an access to a volatile variable by the target program.
|
| WaitEvent
Represents a call to Object.wait() by the target program.
|


sg.js javascript component model
Sg.js components follow the d3 proposed object model. Components are function objects with getter and setter properties that are draw by joining data to DOM elements.
Sg.js components extend the basic d3 object model in the following ways.
- Sg.js component configuration data is bound to DOM elements as well as arrays of (typically numeric) data items to draw.
- Sg.js component private state, e.g. saving previous state needed to trigger an animation to the new state.
Individual Sg.js components have the following capabilities:
-
Create a component configurator
my = myComponent();
-
Get/set properties on the configurator by calling
my .property(value) .property2(value2);
-
Pass per instantiation data and component config via .data()
domSelection.data([myConfigAndData]);
-
Instantiate a component instance by binding the component to a DOM node.
domSelection.call(my);
Heirarchcal Structure
Sg.js components are used heirarchically.
A chart
typically contains several subcomponents including e.g.
a sideAxis
, a richAxis
, and a barPlot
.
The configuration data for a chart is
also arranged heirarchically,
so that the user of the chart api can pass a single nested object
to create a chart.
The chart internally will pass the appropriate subparts of the configuration
to the appropriate subcomponents.
Definitions
- component - A sg.js d3 module using the d3 conventions for creating, getting and setting properties, and component binding.
- component configurator - A caller visible object that the caller uses as a ‘stamp’ (or factory) for producing one or more component instances and binding them to DOM nodes.
- component instance - A component closure attached
to a single DOM node.
This closure is produced internally inside the component and is not normally accessible to users of the component. Only the component configurator is normally accessible to component users. - data bind store a reference to a data array in an HTML/SVG DOM node via .data().
- component bind combine a component with an HTML/SVG+data node,
via e.g. d3’s
selection.call(myComponent)
operation. - attach - place an HTML/SVG node in the DOM tree, typically by making it a child of a provided parent.
- data join - bind an array of data with an array of
HTML/SVG nodes via d3’s
selection.data()
operator. If there more or fewer data elements than nodes, the overflow is put in the d3.enter()
selection and the underflow is put in the or d3.exit()
selection.
Note that changing the contents of the data doesn’t magically trigger anything in d3. A properly implemented component will, however, update the DOM to match the current state of the data when it is rebound (component bound) to the DOM node containing the data.
To Draw
To draw or redraw a component on the page, a code using a component will:
- attach a container DOM node into which the component will draw if the container dom node doesn’t already exist.
- create a new component configurator
- data bind store a reference the data to the container node.
- component connect the component to the container node. This creates a component instance
The component will internally perform a data join:
- Attach new HTML/SVG elements to the DOM for the visual representation of the component (especially on the first bind call)
- Update the visual display to match the (potentially updated) data bound to the DOM, including participating in any parent transitions. (typically on every bind call)
- Remove any extra HTML/SVG elements. (only if previously drawn data has been removed from the data array)
What’s in .data()?
There are several kinds of data stored in the DOM node of an sg.js component.
Note that the data is visible as the private porpoerty __data__
in the DOM node.
- Data to be visualized. e.g. an array of x,y pairs to describe a line or scatter plot.
- Per component instance configuration Since the configurator is ‘stamped’ multiple times into the DOM, component users pass configuration that varies per instance to the component via changes in the .data configuration.
- Internal state storage for the component’s use.
Implementation tips for components:
- Configure fluently and via bound data Most component configuration settings should be exposed two ways:
via the
configurator.myProperty("foo")
and via data bound configuation data:selection.data({myProperty:"foo"}); selection.call(configurator);
- Handle transitions As bind calls propagate from component to subcomponent, components
should inherit any active transitions by calling d3.transition(selection) internally.
This enables a zoom transition to synchronize the transition across many components. - Cache local state in the DOM Sometimes components have some local state that they may need for e.g. a subsequent transition. Storing the data within the local closure (component instance) will break if the caller chooses to reconfigure the component. Instead, store the data in a local property of the DOM node, e.g. this.__myComponent.
- Reconfigure or cache subcomponents Components should guarantee the same result when re-bound to
a new configurator with the same settings.
If your component uses a subcomponent, it can either cache the subcomponent configurator, or recreate one.


Jared McVey
Naperville, IL 60564
1(630)-596-7745
EDUCATION
Bachelor of Science in Information Technology Management
Expected Graduation:May 2020
ILLINOIS INSTITUTE OF TECHNOLOGY
Chicago, IL
EXPERIENCE
|
Dishwasher
|
Topgolf
|
|
June 2017-August 2017
|
Naperville, IL
|
- Spent long hours on an extremely dynamic and flexible schedule that could involve
either taking out yesterday's trash in the morning, or help closing up the facility at
midnight.
- Relayed field reports to all my superiors, dictating how many dish racks are processed in an
hour, who was working to determine employee productivity, and any special events to see
how employees work under pressure.
|
Chief Labeler
|
FEED MY STARVING CHILDREN
|
|
October 2014-May 2015
|
Aurora, IL
|
- Time management, managing new coworkers, efficient use of dexterity and handeye
coordination, patiently working for long periods of time.
- Implemented a method of applying information to food packages that cut down total production time by twenty percent.
SKILLS
- Competent with the programming languages Java, C, Lua,HTML,CSS, and Sourcepawn.
- Implemented a method of applying information to food packages that cut down total production time by twenty percent.
- Created a working modification of Dota 2 called
Heroes Playground
on Steam
Workshop.
CERTIFICATIONS
- Accredited by Topgolf to handle food served to restaurant customers.
- Accredited by the College of DuPage to perform cardiopulmonary resuscitation training.


Android 10 is asking users if they want to keep apps data when uninstalling
by AbdullahAndroid 10 is asking users if they want to keep apps data when uninstalling
5 (100%) 2 votes
Google has officially released Android 10 two months ago, but we still don’t know all its features. What we report today refers to a particular method of backing up data of individual apps.
As you can see from the images shown in the gallery below, Android 10 would offer the possibility of not removing the data associated with the apps that are about to be uninstalled. The option would be accessible via a pop-up window that appears when the app is uninstalled, which offers the possibility of keeping the data associated with that app because it could be useful in the case of a re-installation of the app itself. Storing WhatsApp data, for example, would mean not losing your account configuration and chat information.
The option to store app data would only appear when you are uninstalling an app through system settings or the launcher’s home screen, the same does not happen by uninstalling the app from the relevant Play Store page.
Do you want to keep the data?
This is useful for applications that you test once and want to uninstall without leaving a trace. But in other cases, you will want to keep the data if you plan to reinstall the app in the future or simply do not want to lose them. Note that, at the moment, only a handful of applications ask you if you want to keep the data. When uninstalling them on Android 10.
When you choose to Keep the data. You can reinstall the application later and return right where you stayed. Without having to reconfigure the application or make any changes. What is not clear is where this data stays or if you can access it after uninstalling the application.


An inherent feature of science fiction thrillers, black holes
are violent, destructive and invisible. Black holes are areas
of space where the force of gravity is so great that it pulls
everything around. Even light cannot escape, so we cannot see
what is happening.
Wanna know more ->Follow me !
Dark matter behaves like a spider web, with a fastmoving
galaxies to hold together. And there is so much of this stuff
bending the appearance of the room so that when astronomers
observe remote galaxies, often distorted appears.
Cool isn't it ?? Let's check out more cool stuffs->
Let's Dive!!
The ninth planet is a hypothetical planet in the outer solar system.Its gravitational effects may explain the improbable clustering of the orbits of a group of ETNOs, bodies beyond Neptune that orbit the Sun at distances on average over 250 times that of Earth. Here we go!!
"Man is an artifact designed for space travel. He is not designed to remain in his present biologic state any more than a tadpole is designed to remain a tadpole." -William Burroughs.
Space
There’s a planet made of diamonds twice the size of earth The "super earth," aka 55 Cancri e, is most likely covered in graphite and diamond. Paying a visit to that planet would probably pay for the $12 million dollar space suit needed to get there!Mysteries
If the universe is forced to repeat yourself - to be part of a multitative - can there be another version (or multiple versions) of them? "If you look far enough, you would encounter another version of them.If two pieces of the same type of metal touch in space, they will bond and be permanently stuck together


Xiangyu Zhang
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var twilightSparkle = {
name: "Twilight Sparkle",
typeOfPony: "alicorn",
color: "purple",
hasCutieMark: true
}
Scenario: create a template to reuse the pony object...because of course we want to easily be able to make lots of ponies!
function pony(name, type, color, mark) {
this.name = name;
this.type = typeOfPony;
this.color = color;
this.mark = hasCutieMark
}
var rarity = new pony("Rarity", "unicorn",
"silvery white", "true");
function sayHi(aPony) {
console.log(aPony.name + " says hi!");
}
sayHi(twlightSparkle);
// "Twilight Spark says hi!"
var names = ["Twilight", "Rarity", "Rainbow Dash"];
for (var i = 0; i < names.length; i++) {
names[i] += "!";
}
var i = 0;
while (i < names.length) {
names[i] += "!";
}
Note: do not use this if the order of the elements in the array matters, because this type of loop will iterate over elements in an arbitrary manner.
for (var i in names) {
names[i] += "!";
}
Note: will always execute the first statement once, even if the while condition isn't true; if the condition is true, will continue to execute the statement until it is not true.
do {
console.log("Ponies are awesome!")
}
while (true);
// creates an infinite loop. If condition
// were false, "Ponies are awesome!" would
// still execute one time.


public class ConnectionGraph extends org.jgrapht.graph.DirectedMultigraph<NodeStack,Requirement>
The graph basically represents a contracted version (A Node Stack is one Vertex) of the Effective Models Graph It can easily be extended to also handle other types of relationships
| Constructor and Description |
|---|
ConnectionGraph(java.util.Set<NodeStack> stacks) |
builder, builder, createBuilder, createBuilder
addEdge, addEdge, addVertex, clone, containsEdge, containsVertex, createIntrusiveEdgesSpecifics, createSpecifics, createSpecifics, degreeOf, edgeSet, edgesOf, getAllEdges, getEdge, getEdgeFactory, getEdgeSource, getEdgeTarget, getEdgeWeight, getType, incomingEdgesOf, inDegreeOf, isAllowingLoops, isAllowingMultipleEdges, isDirected, isWeighted, outDegreeOf, outgoingEdgesOf, removeEdge, removeEdge, removeVertex, setEdgeWeight, vertexSet
assertVertexExist, containsEdge, equals, hashCode, removeAllEdges, removeAllEdges, removeAllEdges, removeAllVertices, toString, toStringFromSets
finalize, getClass, notify, notifyAll, wait, wait, wait
addEdge, addEdge, addVertex, containsEdge, containsEdge, containsVertex, degreeOf, edgeSet, edgesOf, getAllEdges, getEdge, getEdgeFactory, getEdgeSource, getEdgeTarget, getEdgeWeight, getType, incomingEdgesOf, inDegreeOf, outDegreeOf, outgoingEdgesOf, removeAllEdges, removeAllEdges, removeAllVertices, removeEdge, removeEdge, removeVertex, setEdgeWeight, vertexSet
public ConnectionGraph(java.util.Set<NodeStack> stacks)


Stamps
问题描述 :
This has been analysed by government mathematicians who have derived a formula for n(h,k), where h is the number of stamps that may be attached to a document, k is the number of denominations of stamps available, and n is the largest attainable value in a continuous sequence starting from $1. For instance, if h=3, k=2 and the denominations are $1 and $4, we can make all the values from $1 to $6 (as well as $8, $9 and $12). However with the same values of h and k, but using $1 and $3 stamps we can make all the values from $1 to $7 (as well as $9). This is maximal, so n(3,2) = 7.
Unfortunately the formula relating n(h,k) to h, k and the values of the stamps has been lost–it was published in one of the government reports but no-one can remember which one, and of the three researchers who started to search for the formula, two died of boredom and the third took a job as a lighthouse keeper because it provided more social stimulation.
The task has now been passed on to you. You doubt the existence of a formula in the first place so you decide to write a program that, for given values of h and k, will determine an optimum set of stamps and the value of n(h,k).
输入:
输出:
样例输入:
3 2 0 0
样例输出:
1 3 -> 7
Stamps
| Stamps |
The government of Nova Mareterrania requires that various legal documents have stamps attached to them so that the government can derive revenue from them. In terms of recent legislation, each class of document is limited in the number of stamps that may be
attached to it. The government wishes to know how many different stamps, and of what values, they need to print to allow the widest choice of values to be made up under these conditions. Stamps are always valued in units of $1.
This has been analysed by government mathematicians who have derived a formula for n(h,k), where h is the number of stamps that may be attached to a document, k is the number of denominations of stamps available,
and n is the largest attainable value in a continuous sequence starting from $1. For instance, if h=3, k=2 and the denominations are $1 and $4, we can make all the values from $1 to $6 (as well as $8, $9 and $12). However with the
same values of h and k, but using $1 and $3 stamps we can make all the values from $1 to $7 (as well as $9). This is maximal, so n(3,2) = 7.
Unfortunately the formula relating n(h,k) to h, k and the values of the stamps has been lost–it was published in one of the government reports but no-one can remember which one, and of the three researchers who
started to search for the formula, two died of boredom and the third took a job as a lighthouse keeper because it provided more social stimulation.
The task has now been passed on to you. You doubt the existence of a formula in the first place so you decide to write a program that, for given values of h and k, will determine an optimum set of stamps and the value of n(h,k).
Input
Input will consist of several lines, each containing a value for h and k. The file will be terminated by two zeroes (0 0). For technical reasons the sum of h and k is limited to 9. (The President lost his little finger in
a shooting accident and cannot count past 9).
Output
Output will consist of a line for each value of h and k consisting of the k stamp values in ascending order right justified in fields 3 characters wide, followed by a space and an arrow (->
) and the value of n(h,k)
right justified in a field 3 characters wide.
Sample input
3 2 0 0
Sample output
1 3 -> 7
题目大意：给出邮票数量h，和邮票面值种类k，要求你选出k种面值的邮票，通过这些1 ~ h张邮票所组成的面值数连续最大。
比如：选择1 和 2，（在h= 3时)可以组成的面值数有1、2、3、4、5、6，所以此时最大连续面额就为6
但如果选择1 和3 的话，可组成的面值数就有1、2、3、4、5、6、7、 9，注意，没有8，所以最大连续面额为7.
解题思路：将所有面额情况枚举出来比较就好了，但是这是后就碰到了面值枚举的上限问题，其实仔细想一下不难发现，当前第i个面值的最大值其实就是前面0 ~ i能组成最大面值再加1，再大的话就不能形成连续的也就不符合题意了。
#include <stdio.h> #include <string.h> #define N 200 int h, k, Max,maxvalue[N]; int nowvalue[N], recvalue[N]; bool vis[N]; void count(int n,int cur, int sum){ vis[sum] = true; if (n >= h) return ; for (int i = 0; i <= cur; i++) count(n + 1, cur, sum + nowvalue[i]); } void find(int cur){ if (cur >= k){ if (maxvalue[cur - 1] > Max){ Max = maxvalue[cur - 1]; memcpy(recvalue, nowvalue, sizeof(nowvalue)); } return; } for (int i = nowvalue[cur - 1]; i <= maxvalue[cur - 1] + 1; i++){ memset(vis, 0, sizeof(vis)); nowvalue[cur] = i; count(0, cur, 0); int t = 1, num = 0; while(vis[t++])num++; maxvalue[cur] = num; find(cur + 1); } } int main(){ while (scanf("%d%d", &h, &k), h && k){ // Init. memset(vis, 0, sizeof(vis)); memset(maxvalue, 0, sizeof(maxvalue)); memset(nowvalue, 0, sizeof(nowvalue)); memset(recvalue, 0, sizeof(recvalue)); maxvalue[0] = h; nowvalue[0] = 1; Max = 0; find(1); for (int i = 0; i < k; i++) printf("%3d", recvalue[i]); printf(" ->%3d\n", Max); } return 0; }
解题报告转自：http://blog.csdn.net/keshuai19940722/article/details/9751839
感觉第二种方法其实也不是很好，不过的确要比第一种方法要好一点。
前排支持
第一句可以忽略不计了吧。从第二句开始分析，说明这个花色下的所有牌都会在其它里面出现，那么还剩下♠和♦。第三句，可以排除2和7，因为在两种花色里有。现在是第四句，因为♠还剩下多个，只有是♦B才能知道答案。
不错的网站，建议添加些比赛信息
示例程序中的代码不够稳健，没有考虑到输入了非法字符或者不合理输入的情况。
第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。第2题，TCP不支持多播，多播和广播仅应用于UDP。所以B选项是不对的。
感谢分享 学习了`(*∩_∩*)′
不考虑最后将结果排序的话，快排的时间复杂度是O(N) ，而堆排的是O(N*logK),这样比较看，快排快
此题答案确实应该是A。文中已修改，感谢一楼的提醒！
好吧~
有两个重复的话结果是正确的，但解法不够严谨，后面重复的覆盖掉前面的，由于题目数据限制也比较严，所以能提交通过。已更新算法
第一题还是比较考验智商~
nice!!!
第一题还是比较考验智商~


{%csrf_token%}
Song Interface
category name
categorised songs are always a good choice
category description
described songs are always awful
category icon
Submit
Reset
{{msg}}


Dear Friend! It is with heart of hope that I write to seek your help in the context below. My name is Zuma Seko, an origin of Liberia but reside in Europe. I got your contact during a business search into the Internet and was inspired to seek your co-operation. Based on trust and because I reside in Europe, my father in-law, Mr. Peter Chingoka, gave me a mandate to source for viable business ventures where he can invest funds of approximately USD18.4M. He was a member of the tournament policy committee responsible for planning the ICC CRICKET WORLD CUP, which took place in South Africa from 8th Feb. -23rd march 2003. In the course of carrying out his duties as the chairman of the above committee, he over-inflated the contract sum to the tune of USD$18.4 Million. He initially kept this money in a safe deposit Bureau in Zimbabwe under a personal identification number (PIN) to eradicate trace of the deposit to him. Under the administration of President Robert Mugabe, civil servants such as my in-law are not in any position to amass such amount of money. To eliminate this, the democratic government set up a panel of inquiry to probe the financial activities of any government official that is suspected for misappropriation of funds and the mandated decision to seize all his assets and face a twenty-one years jail term. Based on this law and to avoid complications, the funds were later moved through the help of his proxy at the deposit bureau to their affiliate in Europe where it is kept as a deposit. By virtue of his job as a civil servant, he is poorly paid and cannot defend the source of the funds if caught. To avoid such, he prefers to be anonymous during the execution of this project. This is why I am representing him. Please, treat this letter as confidential as possible. I have made all necessary enquiries to conclude the transaction but I do not have the credibility as a foreigner to realize it. It is on this premise that your assistance is required, to claim and invest the funds in a joint venture partnership business on behalf of my in-law. My in-law has agreed to compensate your sincere and candid effort in this regard with 20% of the funds when finally received in your local bank account, 5% for any expenses incurred and invest the outstanding into a joint venture business partnership that would be under your direct management. I have completed the legal framework required to appoint you as a Trustee to my In-law, so that you can claim and invest the funds on his behalf. I look forward to your response. Regards, zuma seko ___________________________________________________________________________ Mail sent from WebMail service at PHP-Nuke Powered Site - http://mark.net


You need to share your screen with MakeCode to record it.
Go to Application Window, select Microsoft MakeCode Streamer and click Share.
Press the stop button when you are done recording.
Select your primary camera. Note the video stream is not mirrored.
Select a secondary camera to display a document or physical device. To inline a
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video
stream, select
Integrate the chats of your streaming services.
Record your browser to a .webm file that can be uploaded to video services.


Last updated: 2018-06-22
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In this analysis, we assess whether tissue-specific eQTLs we identified can be explained by tissue-specific expression. Specifically, we take genes with tissue-specific eQTLs, and examine the distribution of expression in the eQTL-affected tissue relative to expression in other tissues.
Compare plots below with Supplementary Figure 6 in the manuscript.
In the next code chunk, we load some GTEx summary statistics (average gene expression values and z-scores), as well as some of the results generated from the mash analysis of the GTEx data.
Expression is here defined as median across individuals of the log Reads per Kilobase Mapped (RPKM).
data <- read.csv("../data/AvgExpr.csv.gz",header = TRUE)
out <- readRDS("../data/MatrixEQTLSumStats.Portable.Z.rds")
maxz <- out$strong.z
qtl.names <-
sapply(1:length(rownames(maxz)),
function(x) unlist(strsplit(rownames(maxz)[x], "[_]"))[[1]])
rownames(data) <- data[,1]
expr.data <- data[,-1]
out <- readRDS(paste("../output/MatrixEQTLSumStats.Portable.Z.coved.K3.P3",
"lite.single.expanded.V1.posterior.rds",sep = "."))
pmash <- out$posterior.means
lfsr <- out$lfsr
colnames(lfsr) <- colnames(pmash) <- colnames(maxz)
rownames(lfsr) <- rownames(pmash) <- rownames(maxz)
expr.sort <- expr.data[rownames(expr.data)%in%qtl.names,]
a <- match(qtl.names,rownames(expr.sort))
expr.sort <- expr.sort[a,]
missing.tissues <- c(7,8,19,20,24,25,31,34,37)
exp.sort <- expr.sort[,-missing.tissues]
colnames(exp.sort) <- colnames(maxz)
Here we define a couple functions used to compare the densities and CDFs of gene expression levels.
plot_tissuespecifictwo = function(tissuename,lfsr,ymax,curvedata,title,
thresh=0.05,subset=1:44,exclude=0.01) {
index_tissue=which(colnames(lfsr) %in% tissuename);
ybar=title
# Create a matrix showing whether or not lfsr satisfies threshold.
sigmat = lfsr <= thresh;
sigs=which(rowSums(sigmat[,index_tissue,drop=FALSE])==length(tissuename) &
rowSums(sigmat[,-index_tissue,drop=FALSE])==0)
norm.spec=density(curvedata[sigs,index_tissue])
norm.other=density(curvedata[-sigs,index_tissue])
xmin=min(norm.spec$x,norm.other$x)-1
ymin=min(norm.spec$y,norm.other$y)
xmax=max(norm.spec$x,norm.other$x)+1
plot(norm.other,xlim = c(xmin,xmax),ylim=c(0,ymax),
col="black",main=tissuename,xlab="log(RPKM)")
lines(norm.spec,col="red")
legend("right",legend = c("All Genes","Tissue Specific"),
col=c("black","red"),pch=c(1,1))
}
plot_tissuespecificthree = function(tissuename,lfsr,ymax,curvedata,title,
thresh=0.05,subset=1:44,exclude=0.01) {
index_tissue=which(colnames(lfsr) %in% tissuename);
ybar=title
# Create a matrix showing whether or not lfsr satisfies threshold.
sigmat = lfsr <= thresh
sigs=which(rowSums(sigmat[,index_tissue,drop=FALSE])==length(tissuename) &
rowSums(sigmat[,-index_tissue,drop=FALSE])==0)
norm.spec=ecdf(curvedata[sigs,index_tissue])
norm.other=ecdf(curvedata[-sigs,index_tissue])
plot(norm.other,ylim=c(0,ymax),
col="black",main=tissuename,xlab="log(RPKM)")
lines(norm.spec,col="red",cex=0.1)
legend("right",legend = c("All Genes","Tissue Specific"),
col=c("black","red"),pch=c(1,1))
}
The two plots below compare the densities and cumulative distribution functions of the expression levels for all genes (black), and for genes identified as having a “tissue-specific” eQTL (red) in testis.
plot_tissuespecifictwo(tissuename = "Testis",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05 ,ymax=0.5)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
plot_tissuespecificthree(tissuename = "Testis",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05 ,ymax=1)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
The distribution functions are reasonably similar.
Next we show the same two plots for thyroid.
plot_tissuespecifictwo(tissuename = "Thyroid",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05,ymax = 0.5)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
plot_tissuespecificthree(tissuename = "Thyroid",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05,ymax = 1)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
Next, we look at the distributions in whole blood cells.
plot_tissuespecifictwo(tissuename = "Whole_Blood",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05,ymax=0.5)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
plot_tissuespecificthree(tissuename = "Whole_Blood",lfsr = lfsr,
curvedata = log(exp.sort),title = "Test",
thresh = 0.05 ,ymax=1)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
Finally, we examine the gene expression distributions in fibroblasts.
plot_tissuespecifictwo(tissuename = "Cells_Transformed_fibroblasts",
lfsr = lfsr,curvedata = log(exp.sort),title = "Test",
thresh = 0.05,ymax=0.5)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
plot_tissuespecificthree(tissuename = "Cells_Transformed_fibroblasts",
lfsr = lfsr,curvedata = log(exp.sort),title = "Test",
thresh = 0.05 ,ymax=1)
| Version | Author | Date |
|---|---|---|
| 0d5d838 | Peter Carbonetto | 2018-06-05 |
In each case, the distribution functions are similar. This tells us that tissue-specific eQTLs are not simply reflecting tissue-specific expression.
sessionInfo()
# R version 3.4.3 (2017-11-30)
# Platform: x86_64-apple-darwin15.6.0 (64-bit)
# Running under: macOS High Sierra 10.13.5
#
# Matrix products: default
# BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
# LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
#
# locale:
# [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#
# attached base packages:
# [1] stats graphics grDevices utils datasets methods base
#
# loaded via a namespace (and not attached):
# [1] workflowr_<IP_ADDRESS>00 Rcpp_0.12.17 digest_0.6.15
# [4] rprojroot_1.3-2 R.methodsS3_1.7.1 backports_1.1.2
# [7] git2r_0.21.0 magrittr_1.5 evaluate_0.10.1
# [10] stringi_1.1.7 whisker_0.3-2 R.oo_1.21.0
# [13] R.utils_2.6.0 rmarkdown_1.9 tools_3.4.3
# [16] stringr_1.3.0 yaml_2.1.18 compiler_3.4.3
# [19] htmltools_0.3.6 knitr_1.20
This reproducible R Markdown analysis was created with workflowr <IP_ADDRESS>00


Recipe 2.20. Finding a File on the Python Search PathCredit: Mitch Chapman ProblemA large Python application includes resource files (e.g., Glade project files, SQL templates, and images) as well as Python packages. You want to store these associated files together with the Python packages that use them. SolutionYou need to be able to look for either files or directories along Python's sys.path: import sys, os class Error(Exception): pass def _find(pathname, matchFunc=os.path.isfile): for dirname in sys.path: candidate = os.path.join(dirname, pathname) if matchFunc(candidate): return candidate raise Error("Can't find file %s" % pathname) def findFile(pathname): return _find(pathname) def findDir(path): return _find(path, matchFunc=os.path.isdir) DiscussionLarger Python applications consist of sets of Python packages and associated sets of resource files. It's convenient to store these associated files together with the Python packages that use them, and it's easy to do so if you use this variation on the previous Recipe 2.18 to find files or directories with pathnames relative to the Python search path. See AlsoRecipe 2.18; documentation for the os module in the Library Reference and Python in a Nutshell. |


I am 15 yrs old and about a month a go I bought 10 grams of salvia for about £10. I was walking down to my friends house to smoke it when I saw there was a fire in the grassy land beside the road, and the police were stopping everyone from walking past. So I just waited with the other 4 or fire people that were there. The police asked to see our hands, presumably to see if they were dirty from building a fire, then they asked if anyone had any lighters or matches as they were going to search us. I had a lighter. I gave it the police, another man also had matches. The police then searched me and found me keys, some money, a socket gauze and the bag of salvia. OH CRAP, but its legal, right.
The policeman asked me to sit in the police car while he searched the other people, he searched them then let them go. He then came into the car and asked me where I got it, I said the internet. He said do I know what it is, I said, it's Salvia Divinorum, a legal, Mexican herb. he said is wasn't salvia (he had never heard of it) and he claimed it was HEMP which I could plant and it would grow into a cannabis plant. He gathered this idea from the '----- Hemp Co' (Erowid Note: We do not publish vendor information in experience reports, so the whole name is not shown) label, simply ignoring the fact it said salvia. He then gave me a lecture about drugs and junkies and all that, then took me home.
 The police took the salvia off me and said they would put it down the nearest drain. But I want to know if they had the right to do this. I never got a chance to smoke any of it. and I can't order more as my parents will want to inspect all parcels sent to me.

Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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— We hope you will help us. LOL


P. G. Wodehouse - Right Ho, Jeeves
When it seems that Jeeves is losing his touch, Bertie decides to try and fix things for Aunt Dahlia himself. By a bit of matchmaking, Bertie tries to re-unite the family and solve Aunt Dahlia’s problems. But as usual everyone becomes confused.
David Sedaris - Me Talk Pretty One Day
David Sedaris moved from New York to Paris where he attempted to learn French. His teacher, a sadist, declared that every day spent with him was like giving birth the Caesarean way! These hilarious essays were inspired by that move.
Bill Bryson - Notes from a Small Island
In Notes from a Small Island, Bryson, who moved to England from the USA seventeen years ago and settled in North Yorkshire with his family, turns an affectionate but ironic eye on his adopted country. Some sections of this book are so funny they should not be read in public.
George and Weedon Grossmith - The Diary of a Nobody
Anxious, accident-prone and occasionally waspish, Charles Pooter has come to be seen as an epitome of English suburban life. The world he inhabits is hilariously and painfully familiar in its small-mindedness and essential decency. This book was published in the 1800s but it still retains the ability to amuse. Mr Pooter is a classic character and much of the humour derives from his complete obliviousness to the effect he has on everyone else.
Stephen Fry - The Liar
Stephen Fry’s first novel involves the fabrication of a lost pornographic novel by Charles Dickens and a number of other indecent inventions. The tale begins when a public schoolboy inadvertently observes the murder of a Hungarian violinist.
Flann O'Brien - The Complete Novels
In these five novels by one of Ireland’s greatest comic writers, we explore the full range of his invention, from the multi-layered madness of At Swim-Two-Birds to the piercing realism of The Hard Life and the surreal logic of The Third Policeman.
Tom Sharpe - Wilt
Ten years as an Assistant Lecturer at Fenland College, trying to drum English Lit into the skulls of rude mechanicals has left Henry Wilt frustrated and even murderous. So Chief Inspector Flint suspects the worst when Wilt’s wife goes missing.
Jason Hazeley and Joel Morris - The Ladybird Book of the Mid-life Crisis
This work is described as the latest in the series of Ladybird books which have been specially planned to help grown-ups with the world about them. The large clear script, the careful choice of words, the frequent repetition and the thoughtful matching of text with pictures all enable grown-ups to think they have taught themselves to cope. This is one of a series dealing with subjects like The Hangover and The Shed. The authors are comedy scriptwriters with a long string of smash hits behind them writing text in the Ladybird house style alongside original illustrations.
Vincent Bruno - Five on Brexit Island
It is the night of the referendum and the Five have retired to Kirrin Island to enjoy the fresh air and sunshine, fed up with the rancour of public debate. George is firmly a ‘remainer,’ while Julian, who is in the ‘Brexit’ camp, is tolerated on the grounds that Anne cannot bear to go camping without him. The night is tempestuous in more ways than one. George has managed to rig up a satellite link to the mainland so they can keep abreast of the news, and they sit huddled around the fire, amidst some tension, as George’s initial hope that the ‘remainers’ will triumph proves premature.  The damage is apparent as the new day dawns and George declares a new meaning for Brexit: Kirrin Island is exiting Britain, that is until the red tape becomes too much of a challenge and their happy life together is under threat.


Getting Started with ui-predicate for ReactJS
Getting started
source-code
,
storybook
,
documentation
.


QATrack+ Papers & Presentations
If you have published a paper, or given a talk or poster about QATrack+, please email<EMAIL_ADDRESS>to have it added here!
-
Annual Linac Calibration Implementation within Qatrack+
Laurent Tantôt, Radiother. Oncol. 129 (S1), S42
Link(PDF): Click
-
Streamlining Regulatory Activities Within Radiation Therapy Departments Using QATrack
Angers, Crystal & Bottema, Ryan & Buckley, Lesley & Studinski, Ryan & Petzold, Don & Abbassian, Farhoud & Taylor, Randy. (2019). . Health Physics. 117. 1. 10.1097/HP.0000000000001119.
Link: Click
-
An interprofessional approach to the standardization of a quality assurance program in medical imaging using QATrack+
Juma I, Buckley L, Thibeau A, Heddon G, Byrne I, Bottema R,Angers C. Med Phys 44:4373–4374; 2017.
Link: Click
-
A flexible, free, open-source and multi-platform software solution for QC data management
Taylor R, Angers C, La Russa D, Studinski R, Mason D, ClarkBG. . Radiother Oncol 108(S1):S101; 2013
-
QATrack+: A free and open source tool for radiotherapy quality assurance
R. E. Taylor, C. Angers, D. La Russa, R. Studinski, D. Mason, B. Clark 27 Jan 2013 COMP Winter School, Mt. Tremblant, Quebec
Link: Click


{% extends "layouts/layout.html" %} {% block header %}
Some local non-profit organizations have their own well-designed websites, but some don’t due to limitations on resources. If one wants to contribute to the local community, he/she might need to spend a lot of time searching for volunteering opportunities. Why don’t we simplify the communication process between organizations and individuals to avoid extra hours spent on searching or promoting? This is the inspiration to create this platform, Helps
, to speedily and directly connects volunteers with local non-profit organizations. On Helps
, local non-profit organizations in Rochester can post their upcoming events, while volunteers can easily sign up and schedule their volunteering times based on their availabilities.


Earlier today I released version 3.0.0 of mimosa-require, but I will not be including that version as a default dependency of Mimosa yet. The version of mimosa-require included with Mimosa by default is 2.2.2. The only significant difference between 2.2.2 and 3.0.0 […]
Today I released Mimosa 2.3. After 21 point releases on 2.2, this marks the first non-patch release in awhile. Here's a quick rundown of what to expect. Fix for Chrome + CSS Live Reload Mimosa's live reload module is capable of updating CSS without needing to reload the page […]
@mycozycloud put together a blog post a few days back that compared Grunt vs Cake vs Gulp vs Broccoli. It filled up my Twitter feed yesterday. JavaScript Daily posted it. It blew up more. The winner? Broccoli. Why? It’s the most flexible tool and the more concise one. How […]
The adhoc-module Mimosa module is real easy to use and makes adding custom build behavior a piece of cake. It is also a great gateway to learning how to build Mimosa modules that you wish to deploy to NPM for community use. Need Truly Custom Behavior in Your Build? Need […]
This week I rolled out a React compiler for Mimosa. To show off how well the Mimosa and React play together, and how easy it is to get started, I put a demo Todo app together, because, lets face it, its not a thing unless there's a Todo app. The […]
It's Ember's Fault In January my team at Berico started doing a lot of work with Ember. We'll probably have a good dozen folks writing Ember apps in the near future. Ember has a steep learning curve, but the higher up that curve we get, the happier we are with […]


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--- permalink: /publications ---
{% include tracking.html %}
Development of a Micro Hindi Opinion WordNet and Aligning
with Hown Ontology for Automatic Recognition of Opinion
Words from Hindi Documents
D Teja Santosh, Vikram Sunil Bajaj, Varun Sunil Bajaj
International Conference on Next Generation Computing
Technologies, 697-708
Springer, Singapore


Mailgun Web Interface
A simple web interface for non-devs to send emails using mailgun by exposing
mailgun's node.js module to the browser client.
If you've found this tool useful,
please
consider making a donation!
Once the page has loaded, the only information that will be transmitted will be via the
official mailgun javascript module.
If you would like to inspect the security of this tool, please feel free to review the code at
https://github.com/therightstuff/mailgun-web-interface-js
and open an issue if you have any specific questions or concerns.
Mailgun Configuration
Enter your
domain name,
from address and
API key in the input
fields where indicated. Your domain must be configured and active.
You can retrieve your API key as follows:
- Login to your mailgun.com account
- Select Settings
- Select API Keys
- Click the "View" button (the eye) for "Private API Key"
These will be saved locally to your browser and will not be transmitted or stored
except as used by the official mailgun module.
To avoid accidentally updating the configuration, you can
"Lock Configuration",
and then
Unlock Configuration only when necessary.
Content
Enter the subject and html content that is to be send as the body of
the email in the indicated fields, the click the "Test" button. You will be
asked to input an email address where the test mail will be delivered.
Until you have submitted a test email to yourself and indicated that you are
satisfied with the result, "Bulk Send" will be disabled.
NOTE: any changes to the content will disable the "Bulk Send" and "Resend" buttons until
another test email has been performed and verified. This will not require a reload
of the target email list nor affect the existing statuses.
Upload Target Email List
Use the file upload box to load the target email address list (again,
this will be uploaded into the browser locally and not transmitted or stored
anywhere else). The list will be parsed and the contents displayed in tabular
format.
File Format:
The list of target emails must be in csv (comma-separated values) format. Any
spreadsheet application can export the results in that format.
The expected format is two columns, the first being the email address and the
second being an optional display name.
Delivery
Once you are satisfied that the list of emails is correct press the "Bulk Send"
button. You will see the status of each transmission displayed against its target
email address, and you will be able to read transmission reports and resend when any
of the transmissions has failed. Resending can be done individually or in bulk, the
"Bulk Send" button will only attempt to send emails that are "Unsent" or
"Failed".
| Email address |
Name |
Status |
Report |


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In this page we will genrate hash and send it to payumoney.
Please be patient. this process might take some time,please do not hit refresh or browser back button or close this window


{% extends 'layouts/application.html' %} {% block title %} Running – Gaz Joyce {% endblock %} {% block content %}
I am a running convert.
After almost 35 years of inactivity, I started running in May 2018 (my wife talked me into it). I went to our local Parkrun which is a free, weekly, timed 5K. It was the best thing I ever did. I got around the course in 30:46. My current Parkrun personal best is currently 21:31.
Knee-habilitating but starting to do a few short slow runs.
Recovering from Covid-19 and knee injury.
Meh, lockdown :-(
Last updated: February 2023
{% endblock %}


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Level of confidence that token is an accurately-transcribed word
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very low
low
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medium
high
very high