text:
LG TV Remote Not Working? Here's How To Fix It
Your LG TV remote is designed to be a big help when it comes to handling your TV's settings and channels. When it starts misbehaving, it can be quite a headache. Luckily for you, we're here to tell you what might be wrong and how to fix it!
How to Fix LG TV Remote Problems
Why is my LG TV Remote not working?
Top 3 Best TV Remotes For LG TV In 2023
There are a few things you can do if your LG TV remote isn't functioning properly. Make sure the batteries are still good before proceeding. If the batteries are still OK, you can reset the remote by removing and replacing them.
Reprogramming the remote is an alternative if that doesn't work. You'll need the TV model code in order to achieve this. Here are the steps to take once you get the code:
Press and hold the SETUP button on the remote until the red light blinks twice.
Using the number buttons on the remote, enter the code for your TV model.
Press and hold the POWER button on the remote until the red light blinks twice.
Test the remote by pressing some of the other buttons to see if they work now.
If none of these troubleshooting tips fix your LG TV remote problems, then you may need to replace it with a new one. If you want to buy a new TV remote, then check out the MMTrade site, which sells LG TV remotes at a good prices.
If your LG TV remote is not working, it may be because the batteries are low or there is something blocking the infrared sensor. Here are some tips to fix your remote:
Check the batteries: If your remote uses AA or AAA batteries, make sure they are fresh and installed correctly.
Clean the infrared sensor: Use a soft cloth to dust off the infrared sensor on the front of the remote control.
Check for obstructions: Make sure there is nothing blocking the path between the remote and the TV, such as a coffee table or curtain.
Restart your TV: Sometimes, restarting your TV can reset the connection between the remote and TV.
Reset your remote: If none of these tips work, you may need to reset your remote control. To do this, press and hold the power button on the back of the remote for five seconds.
If you're looking to buy a new TV remote, but not sure which one is the best for your LG TV then we've got you covered! Whether you want a standard remote with all the essentials or something more specific that caters to your needs perfectly, we've got the list of the top 3 best TV remotes for LG TVs in 2023.
If you're looking for the best TV remote for your LG TV, you've come to the right place. Based on our findings from customer reviews and expert opinions, we've compiled a list of the top three best TV remotes for LG TV in 2023.
So without further ado, here are the top three best TV remotes for LG TV in 2023:
LG Magic Remote: This remote is packed with features that make it one of the best on the market. It has a sleek design, is very user-friendly, and comes with a variety of helpful buttons that make it easy to navigate your LG TV.
Logitech Harmony Elite: The Logitech Harmony Elite is another great option for those looking for a high-quality remote control for their LG TV. It's packed with features including customizability, one-touch activity buttons, and a large touchscreen display.
Caavo Control Center: The Caavo Control Center is a great all-in-one solution for those who want an easy way to control their entire home entertainment system from one device. It includes a universal remote control, voice control, and an HDMI switch.
Our Pick for the best remote out of these three remotes
After testing all three of these remotes, we've come to the conclusion that the best remote for an LG TV is the LG Universal Remote. It was the most responsive and had the best range out of all the remotes we tested.
The LG Universal Remote is a great choice for anyone looking for a reliable and easy-to-use remote for their LG TV. It's very responsive, has a good range, and is very user-friendly. We highly recommend it!
There could be a number of reasons why your LG TV remote is not working. Nonetheless, there are several solutions to this problem. We hope that our troubleshooting guide has helped you identify the problem and find a solution that works for you. If your remote still isn't working after trying all of the tips in this article, then you may need to replace it.
Top 4 Best Cheap Printer Ink Cartridges In 2023
How To Fix Earphones Not Working On Windows 11

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Error on Spring Boot App Startup when adding spring-boot-starter-web Starting a very basic Spring boot app using spring-cloud-starter-aws-secrets-manager-config to retrieve AWS sectrets works correctly. However, the moment I add in the spring-boot-starter-web dependency into the project for web service support, the spring-cloud-starter-aws-secrets-manager-config errors and the application fails to start.
pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>1.5.6.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.example</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>Demo project for Spring Boot</description>

    <properties>
        <java.version>1.8</java.version>
    </properties>
    <dependencies>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-aws-secrets-manager-config</artifactId>
            <version>2.0.1.RELEASE</version>
        </dependency>
<!-- if I remove spring-boot-starter-web it all starts properly -->
                <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>
</project>

java
package com.secrets.demo;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class App
{

    public static void main( String[] args )
    {
        SpringApplication.run(App.class, args);
    }

}

bootstrap.yml
spring:
  application:
    name: app_name
aws:
  secretsmanager:
    prefix: /secret
    defaultContext: application
    profileSeparator: _
    failFast: true
    name: app_name
    enabled: true

Application should start up normally, however the application errors with the following:

Error starting ApplicationContext. To display the auto-configuration
  report re-run your application with 'debug' enabled. 2019-07-03
  11:57:16.563 ERROR 73839 --- [           main]
  o.s.boot.SpringApplication               : Application startup failed
org.springframework.beans.factory.UnsatisfiedDependencyException:
  Error creating bean with name 'propertySourceBootstrapConfiguration':
  Unsatisfied dependency expressed through field
  'propertySourceLocators'; nested exception is
  org.springframework.beans.factory.UnsatisfiedDependencyException:
  Error creating bean with name 'awsSecretsManagerPropertySourceLocator'
  defined in
  org.springframework.cloud.aws.autoconfigure.secretsmanager.AwsSecretsManagerBootstrapConfiguration:
  Unsatisfied dependency expressed through method
  'awsSecretsManagerPropertySourceLocator' parameter 1; nested exception
  is org.springframework.beans.factory.BeanCreationException: Error
  creating bean with name
  'aws.secretsmanager-org.springframework.cloud.aws.secretsmanager.AwsSecretsManagerProperties':
  Could not bind properties to AwsSecretsManagerProperties
  (prefix=aws.secretsmanager, ignoreInvalidFields=false,
  ignoreUnknownFields=true, ignoreNestedProperties=false); nested
  exception is java.lang.NullPointerException   at
  org.springframework.beans.factory.annotation.AutowiredAnnotationBeanPostProcessor$AutowiredFieldElement.inject(AutowiredAnnotationBeanPostProcessor.java:588)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.annotation.InjectionMetadata.inject(InjectionMetadata.java:88)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.annotation.AutowiredAnnotationBeanPostProcessor.postProcessPropertyValues(AutowiredAnnotationBeanPostProcessor.java:366)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.populateBean(AbstractAutowireCapableBeanFactory.java:1264)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:553)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:483)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:306)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:230)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:302)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:197)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:761)
  ~[spring-beans-4.3.10.RELEASE.jar:4.3.10.RELEASE]     at
  org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:867)
  ~[spring-context-4.3.10.RELEASE.jar:4.3.10.RELEASE]   at
  org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:543)
  ~[spring-context-4.3.10.RELEASE.jar:4.3.10.RELEASE]   at
  org.springframework.boot.SpringApplication.refresh(SpringApplication.java:693)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.refreshContext(SpringApplication.java:360)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.run(SpringApplication.java:303)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.builder.SpringApplicationBuilder.run(SpringApplicationBuilder.java:134)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.cloud.bootstrap.BootstrapApplicationListener.bootstrapServiceContext(BootstrapApplicationListener.java:187)
  [spring-cloud-context-1.3.2.RELEASE.jar:1.3.2.RELEASE]    at
  org.springframework.cloud.bootstrap.BootstrapApplicationListener.onApplicationEvent(BootstrapApplicationListener.java:102)
  [spring-cloud-context-1.3.2.RELEASE.jar:1.3.2.RELEASE]    at
  org.springframework.cloud.bootstrap.BootstrapApplicationListener.onApplicationEvent(BootstrapApplicationListener.java:68)
  [spring-cloud-context-1.3.2.RELEASE.jar:1.3.2.RELEASE]    at
  org.springframework.context.event.SimpleApplicationEventMulticaster.invokeListener(SimpleApplicationEventMulticaster.java:167)
  [spring-context-4.3.10.RELEASE.jar:4.3.10.RELEASE]    at
  org.springframework.context.event.SimpleApplicationEventMulticaster.multicastEvent(SimpleApplicationEventMulticaster.java:139)
  [spring-context-4.3.10.RELEASE.jar:4.3.10.RELEASE]    at
  org.springframework.context.event.SimpleApplicationEventMulticaster.multicastEvent(SimpleApplicationEventMulticaster.java:122)
  [spring-context-4.3.10.RELEASE.jar:4.3.10.RELEASE]    at
  org.springframework.boot.context.event.EventPublishingRunListener.environmentPrepared(EventPublishingRunListener.java:74)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplicationRunListeners.environmentPrepared(SpringApplicationRunListeners.java:54)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.prepareEnvironment(SpringApplication.java:325)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.run(SpringApplication.java:296)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.run(SpringApplication.java:1118)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  org.springframework.boot.SpringApplication.run(SpringApplication.java:1107)
  [spring-boot-1.5.6.RELEASE.jar:1.5.6.RELEASE]     at
  com.secrets.demo.App.main(App.java:13) [classes/:na]

A: You are mixing 1.5.x and 2.x dependencies. Since there are breaking changes between these two version there are often compatibility issues when using both in the same project.
Since spring-cloud-starter-aws-secrets-manager-config only supports 2.x you will need to upgrade spring boot starter parent to a 2.x version.

A: @Michael McFadyen's reply is correct; however it's also worth noting that manually adding Spring Cloud dependencies and their versions is not a good practice. The dependencyManagement plugin and Spring Cloud Release trains should be used instead to ensure that all Spring Cloud libraries used are in compatible versions See the "Release Trains" section in the project page. It also contains the information on which release trains correspond to which Spring Boot versions.
If you want to be sure that you are correctly setting up Spring dependencies in your build file, you can go to start.spring.io to generate a project stub with a correct build file.

redpajama_set_name: RedPajamaStackExchange


Spinit Casino Review - Are They a Legitimate Casino? Or is it a Scam?
Spinit is one of the online casinos that has been around for a short amount of time. It came into existence in 2016 but has quickly garnered a lot of attention and users due to its exciting interface, its focus on including a massive library of games and being licensed by the UK Gambling Commission and Malta Gaming Authority.
The site is also eCOGRA certified lending even more credibility to its operations. There are a number of bonuses on offer on the site which come with industry standard wagering requirements but offer a lot many more free spins. The downside is that a lot of slots are excluded from meeting the wagering requirements.
Overall, we like Spinit because of its wide breadth of games and its rock-solid reputation for safety.
The Malta Gaming Authority is responsible for monitoring Spinit and ensuring that they have the latest security measures in pace. The site also uses SSL encryption to keep user information safe and has made its payments page PCI compliant to keep the credit card details of players as safe as possible.
Detailed in our summary on the right hand column, Spinit offers a pretty good range of banking options however they have yet to allow for Bitcoin.
The minimum deposit is $10 and the maximum is $5000, while the withdrawal cap is set at $5000 per week and a maximum of $22,000 per month.
Spinit offers the standard options for customer support like Live Chat, Email support, as well as phone number. We found the Live Chat service to be down every time we tried and the best option seems to be using the Email method.
An exhaustive FAQ section is also available on the site which provides a lot of information but is not the easiest to navigate because of the numerous drop-down menus.
Spinit are currently offering a $1,000 + 200 free spins welcome package. This is not actually one big bonus, it is separated over 4 deposits (which is a common marketing strategy by casinos to make it look bigger than it is). The first deposit gives a 100% match bonus up to $200 + 200 free spins, the second 50% match bonus up to $200, and the remaining two a 25% match bonus up to $300.
There is a 40x times wagering requirement before the bonus money can be cashed out. For example, if you receive a $100 match bonus then you must wager $4000 before the reward can be withdrawn.
There are a few other promotions that Spinit if offering on its site including the long-running Monday Reload bonus of 25% on deposits worth up to $100 and the Spinner Choice promo which offers the players a free spin on a new game every Wednesday.
The bonuses that Spinit is offering are pretty average for the industry and you can definitely find some better offers on other competing casinos by looking a little harder.
Hopefully, this is a just a temporary glitch and should be resolved soon to allow players the best possible mobile gaming experience.
Spinit is a reputable casino which has enhanced its reputation by being licensed and approved by some of the strictest online gaming commissions. The casino is also eCOGRA approved to put the player's mind to rest about the fairness of the games being played. If you are a player that enjoys having a wide selection of games available then this is the site for you. If you are looking for a site that offers bumper bonuses then you can look elsewhere.


text:
The Barasat killings of 1970 refer to the killing of 11 young men on the night of 19 November 1970 in Barasat, a suburb of Kolkata in West Bengal, India.

Incident
The men had been rounded up from a secret meeting at the Maidan in Kolkata by the West Bengal police force. Autopsy reports later showed that the bullets were fired from service revolvers, directly implicating the police in the killings. The Barasat killings were part of a ferocious government crackdown on suspected Naxalite rebels, taking place in the context of widespread political violence that plagued West Bengal province at the time under President's Rule. The incident was swiftly followed by the killing of another four or five activists in Beliaghat, Kolkata. Most reports later blamed a secret 'death squad operated by the Police Special Branch, implicating a DCP Bibhuti Bhusan Chakraborty, DCP Debi Roy, DCP A.R. Mukherjee, ACP James Henderson, ACP Runu Guha Niyogi, Inspector (Mounted) Richard Munro, Inspector Somendranath Bose, Inspector Bikram Mitter, Sergeant William Hodgson, Sergeant Dipak Banerjee, SI Chitta Ganguly, SI Anil Maitra, Ar. ASI Amalendu Ghosh, Naib Risaldar Shambhu Singh Shahi, Ar. ASI Rameshwar Pandey, Ar. ASI Gabru Thapa, Head Constable Bindeyeshwari Singh, Head Constable Bipin Roy Burman, Head Constable Banke Ram Dubey, Head Constable Amiya Ghosh, Head Constable Ram Persad Missir, Constable Bishambher Nath Tiwari, Constable Enamul Haq Molla, Constable Subrata Konar, Constable Ram Babu Singh, Constable Shew Persad Pandey, Constable Soumitra Ghosh, Constable Binoy Murmu, Constable Tarapada Bagdi, Constable Nazrul Islam, Constable Sukumar Biswas, Constable Subhash Mukherjee, Constable Gangeswar Pandey, Constable Mofijur Rahman and Constable Baidyanath Banerjee as part of a Special Branch encounter cell. There were also reports of an Inspector of the Central Intelligence Bureau and a Deputy Commandant of the CRPF being involved with the encounter cell

Popular culture
The Bengali poet and novelist Nabarun Bhattacharya refers to the killings, giving the names of some of the dead, in his award-winning novel Harbart .

References

Naxalite–Maoist insurgency

redpajama_set_name: RedPajamaWikipedia


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What is Tulsa Country Club?
Tulsa Country Club is proudly one of Tulsa's most noted landmarks, having served as a home away from home for its members since 1908. Much has changed in the one hundred years since the inception of Tulsa Country Club but one thing has remained constant: TCC continues to combine tradition, prestige, and hospitality.
The Club's many amenities are highlighted with an 18-hole golf course initially designed by A.W. Tillinghast in 1920 and redesigned in 2011 by Rees Jones, and a resort-style pool built in 2007. The member-areas of the clubhouse were completely renovated in the summer of 2010 by the nationally renowned clubhouse designer, Tom Hoch.
With Downtown Tulsa as our next door neighbor, Tulsa Country Club is uniquely positioned to present an outstanding membership value for both personal and business use. The location is the most convenient of any Club in Tulsa to the downtown and midtown areas, but TCC's greatest asset has always been its members, who for over a century have been some of Tulsa most noted professionals.
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text:
\section{Introduction}

Internet and the proliferation of smart mobile devices have changed the way information spreads, e.g.,
social media, blogs, and micro-blogging services such as Twitter,
Facebook
and Google+
have become some of the main sources of information for millions of users on a daily basis.
On the positive side, this has democratized and accelerated content creation and sharing.
On the negative side, it has made people vulnerable to manipulation, as the information in social media is typically not monitored or moderated in any way.
Thus, it has become increasingly harder to distinguish real news from misinformation, rumors, unverified, manipulative, and even fake content. Not only are online blogs nowadays flooded by biased comments and fake content, but also online news media in turn are filled with unreliable and unverified content, e.g., due to
the willingness of journalists to be the first to write about a hot topic, often by-passing the verification of their information sources; there are also some online information sources created with the sole purpose of spreading manipulative and biased information.
Finally, the problem extends beyond the cyberspace, as in some cases, fake news from online sources have crept into mainstream media.

Journalists, regular online users, and researchers are well aware of the issue, and topics such as information credibility, veracity, and fact checking are becoming increasingly important research directions \cite{journals/intr/CastilloMP13,phdthesis:graves,Zubiaga2014}.
For example, there was a recent 2016 special issue of the ACM Transactions on Information Systems journal on Trust and Veracity of Information in Social Media \cite{Papadopoulos:2016:OSI}, and there is an upcoming SemEval-2017 shared task on rumor detection.

As English is the primary language of the Web, most research on information credibility and veracity has focused on English, while other languages have been largely neglected. To bridge this gap, below we present experiments in distinguishing real from fake news in Bulgarian; yet, our approach is in principle language-independent. In particular, we distinguish between real news vs. fake news that in some cases are designed to sound funny (while still resembling real ones); thus, our task can be also seen as humor detection \cite{mihalcea-strapparava:2005:HLTEMNLP,yang-EtAl:2015:EMNLP2}.

As there was no publicly available dataset that we could use, we had to create one ourselves. We collected two types of news: credible, coming from trusted online sources, and fake news, written with the intention to amuse, or sometimes confuse, the reader who is not knowledgeable enough about the subject. We then built a model to distinguish between the two, which achieved very high accuracy.

The remainder of this paper is organized as follows: Section~\ref{sec:relatedwork} presents some related work.
Section~\ref{sec:method} introduces our method for distinguishing credible from fake news. Section~\ref{sec:experandeval} presents our data, feature selection, the experiments, and the results. Finally, Section~\ref{sec:futurework} concludes and suggests directions for future work.

\section{Related Work}
\label{sec:relatedwork}

Information credibility in social media is studied by Castillo \& al. \cite{journals/intr/CastilloMP13}, who formulate it as a problem of finding false information about a newsworthy event. They focus on tweets using variety of features including user reputation, author writing style, and various time-based features.

Zubiaga \& al. \cite{zubiaga2015analysing} studied how people handle rumors in social media. They found that users with higher reputation are more trusted, and thus can spread rumors among other users without raising suspicions about the credibility of the news or of its source.

Online personal blogs are another popular way to spread information by presenting personal opinions, even though researchers disagree about how much people trust such blogs. Johnson \& al. \cite{johnson2007every} studied how blog users act in the time of newsworthy event, e.g., such as the crisis in Iraq, and how biased users try to influence other people.

It is not only social media that can spread information of questionable quality. The credibility of the information published on online news portals has also been questioned by a number of researchers
\cite{brill2001online,ketterer1998teaching,finberg2002digital}. As timing is a crucial factor when it comes to publishing breaking news, it is simply not possible to double-check the facts and the sources, as is usually standard in respectable printed newspapers and magazines. This is one of the biggest concerns about online news media that journalists have \cite{cassidy2007online}.

The interested reader can see \cite{Zaharia:2010:SCC:1863103.1863113} for a review of various methods for detecting fake news, where different approaches are compared based on linguistic analysis, discourse, linked data, and social network features.

Finally, we should also mention work on humor detection. Yang \& al. \cite{yang-EtAl:2015:EMNLP2} identify semantic structures behind humor, and then design sets of features for each structure; they further develop anchors that enable humor in a sentence. However, they mix different genres such as news, community question answers, and proverbs, as well as the One-Liner dataset \cite{mihalcea-strapparava:2005:HLTEMNLP}. In contrast, we focus on news both for positive and for negative examples, and we do not assume that the reason for a news being not credible is the humor it contains.

\section{Method}
\label{sec:method}

We propose a language-independent approach for automatically distinguishing credible from fake news, based on a rich feature set.
In particular, we use \emph{linguistic} ($n$-gram), \emph{credibility} (capitalization, punctuation, pronoun use, sentiment polarity), and \emph{semantic} (embeddings and DBPedia data) features.

\subsection{Features}
\label{subsec:features}

\subsubsection{\bf Linguistic ($n$-gram) Features}

Before generating these features, we first perform initial pre-processing: tokenization and stop word removal. We define stop words as the most common, functional words in a language (e.g., conjunctions, prepositions, interjections, etc.); while they fit well for problems such as author profiling, they turn out not to be particularly useful for distinguishing credible from fake news.
Eventually, we experimented with the following linguistic features:
\begin{itemize}
\item \textbf{$n$-grams:} presence of individual uni-grams and bi-grams. The rationale is that some $n$-grams are more typical of credible vs. fake news, and vice versa;
\item \textbf{tf-idf:} the same $n$-grams, but weighted using tf-idf;
\item \textbf{vocabulary richness:} the number of unique word types used in the article, possibly normalized by the number of word tokens.
\end{itemize}

\subsubsection{\bf Credibility Features}

We also used the following credibility features, which were previously proposed in the literature \cite{journals/intr/CastilloMP13}:

\begin{enumerate}
	\item Length of the article (number of tokens); \label{itm:wordsCount}
    \item Fraction of words that only contain uppercase letters; \label{itm:allUpper}
    \item Fraction of words that start with an uppercase letter; \label{itm:startUpper}
    \item Fraction of words that contain at least one uppercase letter; \label{itm:hasUpper}
    \item Fraction of words that only contain lowercase letters; \label{itm:lowerCase}
    \item Fraction of plural pronouns; \label{itm:pluralPronouns}
    \item Fraction of singular pronouns; \label{itm:singualrPronouns}
    \item Fraction of first person pronouns; \label{itm:firstPerson}
    \item Fraction of second person pronouns; \label{itm:secondPerson}
    \item Fraction of third person pronouns; \label{itm:thirdPerson}
    \item Number of URLs; \label{itm:urls}
    \item Number of occurrences of an exclamation mark; \label{itm:exclMarks}
    \item Number of occurrences of a question mark; \label{itm:questionMarks}
    \item Number of occurrences of a hashtag; \label{itm:hashtag}
    \item Number of occurrences of a single quote; \label{itm:singleQuote}
    \item Number of occurrences of a double quote. \label{itm:doubleQuote}
\end{enumerate}

We further added some sentiment-polarity features from lexicons generated from Bulgarian movie reviews \cite{kapukaranov2015fine} (5,016 positive, and 2,415 negative words), which we further expanded with some more words. Based on these lexicons, we calculated the following features:
\begin{enumerate}
\setcounter{enumi}{16 	}
    \item Proportion of positive words; \label{itm:positiveWords}
    \item Proportion of negative words; \label{itm:negativeWords}
    \item Sum of the sentiment scores for the positive words; \label{itm:scorePositive}
    \item Sum of the sentiment scores for the negative words. \label{itm:scoreNegative}
\end{enumerate}

Note that we eventually ended up using only a subset of the above features, as we performed feature selection as described in Section~\ref{subsec:featselect} below.

\subsubsection{\bf Semantic (Embedding and DBPedia) Features}

Finally, we use embedding vectors to model the semantics of the documents. We wanted to model implicitly some general world knowledge, and thus we trained word2vec vectors on the text of the long abstracts from the Bulgarian DBPedia.\footnote{\url{http://wiki.dbpedia.org/}} Then, we built vectors for a document as the average of the word2vec vectors of the non-stop word tokens it is composed of.

\subsection{Classification}

As we have a rich set of partially overlapping features, we used logistic regression for classification with L-BFGS \cite{liu1989limited} optimizer and elastic net regularization \cite{zou2005regularization}, which combines L1 and L2 regularization. This classification setup converges very fast, fits well in huge feature spaces, is robust to over-fitting, and handles overlapping features well.
We fine-tuned the hyper-parameters of our classifier (maximum number of iterations, elastic net parameters, and regularization parameters) on the training dataset. We further applied feature selection as described below.

\section{Experiments and Evaluation}
\label{sec:experandeval}

\subsection{Data}
\label{subsec:data}

As there was no pre-existing suitable dataset for Bulgarian, we had to create one of our own. For this purpose, we collected a diverse dataset with enough samples in each category. We further wanted to make sure that our dataset will be good for modeling credible vs. fake news, i.e., that will not degenerate into related tasks such as topic detection (which might happen if the credible and the fake news are about different topics), authorship attribution (which could be the case if the fake news are written by just 1-2 authors) or source prediction (which can occur if all credible/fake news come from just one source).
Thus, we used four Bulgarian news sources (from which we generated one training and  three separate balanced testing datasets):
\begin{enumerate}
\item We retrieved most of our credible news from \textbf{Dnevnik},\footnote{\url{http://www.dnevnik.bg/}} a respected Bulgarian newspaper; we focused mostly on politics. This dataset was previously used in research on finding opinion manipulation trolls \cite{mihaylov-georgiev-nakov:2015:CoNLL,mihaylov-EtAl:2015:RANLP2015,ACL2016:trolls}, but its news content fits well for our task too (\textit{\textbf{5,896} credible news});
\item As our main online source of fake news, we used a website with funny news called \textbf{Ne!Novinite}.\footnote{\url{http://www.nenovinite.com/}} We crawled topics such as politics, sports, culture, world news, horoscopes, interviews, and user-written articles (\textit{\textbf{6,382} fake news});
\item As an additional source of fake news, we used articles from the \textbf{Bazikileaks}\footnote{\url{https://neverojatno.wordpress.com/}} blog. These documents are written in the form of blog-posts and the content may be classified as ``fictitious'', which is another subcategory of fake news. The domain is politics (\textit{\textbf{656} fake news});
\item And finally, we retrieved news from the \textbf{bTV  Lifestyle section},\footnote{\url{http://www.btv.bg/lifestyle/all/}} which contains both credible (in the \emph{bTV} subsection) and fake news (in the \emph{bTV Duplex} subsection). In both subsections, the articles are about popular people and events (\textit{\textbf{69} credible  and \textbf{68} fake news});
\end{enumerate}

We used the documents from Dnevnik and Ne!Novinite for training and testing: 70\% for training and 30\% for testing. We further had two additional test sets: one of bTV vs. bTV Duplex, and one on Dnevnik vs. Bazikileaks. All test datasets are near-perfectly balanced.

Finally, as we have already mentioned above, we used the long abstracts in the Bulgarian DbPedia to train word2vec vectors, which we then used to build document vectors, which we used as features for classification. (\textit{\textbf{171,444} credible samples}).

\subsection{Feature Selection}
\label{subsec:featselect}

We performed feature selection on the credibility features. For this purpose, we first used Learning Vector Quantization (LVQ) \cite{kohonen1990improved} to obtain a ranking of the features from Section~\ref{subsec:features} by their importance on the training dataset; the results are shown in Table~\ref{tab:featureSelection}.
See also Figure~\ref{fig:featureSummary} for a comparison of the distribution of some of the credibility features in credible. vs. funny news.

\begin {table}[H]
  \begin{center}
    \begin{tabular}{ p{4cm}p{3cm} }
      \hline
      Features & Importance \\
      \hline
      doubleQuotes \ref{itm:doubleQuote} & 0.7911 \\
      upperCaseCount \ref{itm:hasUpper} & 0.7748 \\
      lowerUpperCase \ref{itm:lowerCase} & 0.7717 \\
      firstUpperCase \ref{itm:startUpper} & 0.7708 \\
      pluralPronouns \ref{itm:pluralPronouns} & 0.6558 \\
      firstPersonPronouns \ref{itm:firstPerson} & 0.6346 \\
      allUpperCaseCount \ref{itm:allUpper} & 0.6282 \\
      negativeWords \ref{itm:negativeWords} & 0.5944 \\
      positiveWords \ref{itm:positiveWords} & 0.5834 \\
      tokensCount \ref{itm:wordsCount} & 0.5779 \\
      singularPronouns \ref{itm:singualrPronouns} & 0.5286 \\
      thirdPersonPronouns \ref{itm:thirdPerson} & 0.5273 \\
      negativeWordsScore \ref{itm:scoreNegative} & 0.5206 \\
      hashtags \ref{itm:hashtag} & 0.4998 \\
      urls \ref{itm:urls} & 0.4987\\
      positiveWordsScore \ref{itm:positiveWords} & 0.4910 \\
      singleQuotes \ref{itm:singleQuote} & 0.4884 \\
      secondPersonPronouns \ref{itm:secondPerson} & 0.4408 \\
      questionMarks \ref{itm:questionMarks} & 0.4407 \\
      exclMarks \ref{itm:exclMarks} & 0.3160 \\
      \bottomrule[1.25pt]
    \end{tabular}
    \caption {Features ranked by the LVQ importance metric.}
    \label{tab:featureSelection}
  \end{center}
\end {table}

Then, we experimented with various feature combinations of the top-ranked features, and we selected the combination that worked best on cross-validation on the training dataset (compare to Table~\ref{tab:featureSelection}):

\begin{itemize}
\item Fraction of negative words in the text (negativeWords);
\item Fraction of words that contain uppercase letters only (allUpperCaseCount);
\item Fraction of words that start with an uppercase letter (firstUpperCase);
\item Fraction of words that only contain lowercase letters (lowerUpperCase);
\item Fraction of plural pronouns in the text (pluralPronouns);
\item Number of occurrences of exclamation marks (exclMarks);
\item Number of occurrences of double quotes (doubleQuotes).
\end{itemize}

\begin{figure}[H]
  \includegraphics[width=\textwidth,  height=8cm]{FeaturesSummary.png}
  \caption{Boxplots presenting the distributions of some credibility features in credible vs. funny news.}
  \label{fig:featureSummary}
\end{figure}

\begin {table}[H]
  \begin{center}
    \begin{tabular}{ p{6cm}p{2cm}p{2cm}p{2cm} }
      \hline
	  Feature Groups & Dnevnik & bTV vs.  & Dnevnik vs.  \\
      & Ne!Novinite & bTV Duplex & Bazikileaks \\
	  \hline

      \textbf{Credibility + Linguistic + Semantic} & \textbf{99.36} & 62.04 & \textbf{85.53} \\

      \textbf{Credibility + Semantic}  & 92.67 & \textbf{75.91} & 82.99 \\

      Linguistic + Credibility & 96.02 & 59.12 & \textit{61.94} \\

       \textbf{Semantic} & 98.95 & 61.31 & 71.01 \\

      Linguistic & 95.71 & \textit{56.93} & 73.25 \\

      Credibility & \textit{83.25} & 62.04 & 79.85 \\

      \hline
      Baseline (majority class) &  52.60 & 50.36  & 50.86\\
      \bottomrule[1.25pt]
    \end{tabular}
    \caption {Accuracy for different feature group combinations.}
    \label{tab:evaluationResults}
  \end{center}
\end {table}

\subsection{Results}

Table \ref{tab:evaluationResults} shows the results when using all feature groups and when turning off some of them. We can see that the best results are achieved when experimenting with ``Credibility + Semantic'' and ``Credibility + Linguistic + Semantic'' feature combinations, and the results are worse when only using credibility and linguistic features.

Analyzing the results on the Dnevnik vs. the Ne!Novinite testset (first column), we can see that the linguistic features are more important than the credibility ones. Yet, the semantic features are even more important. When we combine all the feature groups, we achieve 99.36\% accuracy, but this is only marginally better than using the semantic features alone. Note, however, that using semantic features only does not perform so well on the other two test datasets, especially on the last one.

The linguistic features work relatively well on two of the test datasets, but not on bTV, where the combination of ``Credibility + Semantic'' is the best-performing one.

Naturally, the best results are on the Dnevnik vs. NE!Novinite, where the classifier achieves near perfect accuracy (note that this is despite the different class distribution on training vs. testing). The hardest testing dataset is bTV, where both the positive and the negative class are from sources different from those used in the training dataset; yet, we achieve up to 75.91\% accuracy, which is well above the majority class baseline of 50.36. The Dnevnik vs. Bazikileaks dataset falls somewhere in between, with up to 85.53\% accuracy; this is to be expected as the positive examples come from the same source as for the training dataset (even though the negative class is different).

Overall, on all three datasets, we achieved accuracy of 75-99\%, which is well above the majority class baseline. The strong relative performance on the three different test datasets that come from different sources suggests that our model really learns to distinguish credible vs. fake news rather than learning to classify topics, sources, or author style.

\section{Conclusion and Future Work}
\label{sec:futurework}

We have presented a feature-rich language-independent approach for distinguishing credible from fake news.
In particular, we used linguistic ($n$-gram), credibility-related (capitalization, punctuation, pronoun use, sentiment polarity, etc., with feature selection), and semantic (embeddings and DBPedia data) features.
Our experiments on three different testsets, derived from four different sources, have shown that our model can distinguish credible from fake news with very high accuracy, well above a majority-class baseline.

In future work, we plan to experiment with more features, e.g., based on linked data \cite{Zaharia:2010:SCC:1863103.1863113}, or on discourse analysis \cite{Zaharia:2010:SCC:1863103.1863113}.
Looking at features used for related tasks such as humor- \cite{yang-EtAl:2015:EMNLP2} and rumor-related \cite{zubiaga2015analysing} is another promising direction for future work.
We also want to apply deep learning, which can eliminate the need for feature engineering altogether.

Last but not least, we would like to note that we have made our source code and datasets publicly available for research purposes at the following URL:

\begin{center}
\url{https://github.com/mhardalov/news-credibility}
\end{center}

\newpage

\paragraph{Acknowledgments.}
This research was performed by Momchil Hardalov, a student in Computer Science in the Sofia University ``St Kliment Ohridski'', as part of his MSc thesis.
It is also part of the Interactive sYstems for Answer Search (Iyas) project, which is developed by the Arabic Language Technologies (ALT) group at the Qatar Computing Research Institute (QCRI), HBKU, part of Qatar Foundation in collaboration with MIT-CSAIL.

\bibliographystyle{plain}

redpajama_set_name: RedPajamaArXiv


text:
import functools
import math
import platform
import re
import shutil
import time
from datetime import datetime

import click

from platformio import __version__

# pylint: disable=unused-import
from platformio.device.list.util import list_serial_ports as get_serial_ports
from platformio.fs import cd, load_json
from platformio.proc import exec_command

# pylint: enable=unused-import

# also export list_serial_ports as get_serialports to be
# backward compatibility with arduinosam versions 3.9.0 to 3.5.0 (and possibly others)
get_serialports = get_serial_ports

class memoized:
    def __init__(self, expire=0):
        expire = str(expire)
        if expire.isdigit():
            expire = "%ss" % int((int(expire) / 1000))
        tdmap = {"s": 1, "m": 60, "h": 3600, "d": 86400}
        assert expire.endswith(tuple(tdmap))
        self.expire = int(tdmap[expire[-1]] * int(expire[:-1]))
        self.cache = {}

    def __call__(self, func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            key = str(args) + str(kwargs)
            if key not in self.cache or (
                self.expire > 0 and self.cache[key][0] < time.time() - self.expire
            ):
                self.cache[key] = (time.time(), func(*args, **kwargs))
            return self.cache[key][1]

        wrapper.reset = self._reset
        return wrapper

    def _reset(self):
        self.cache.clear()

class throttle:
    def __init__(self, threshhold):
        self.threshhold = threshhold  # milliseconds
        self.last = 0

    def __call__(self, func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            diff = int(round((time.time() - self.last) * 1000))
            if diff < self.threshhold:
                time.sleep((self.threshhold - diff) * 0.001)
            self.last = time.time()
            return func(*args, **kwargs)

        return wrapper

# Retry: Begin

class RetryException(Exception):
    pass

class RetryNextException(RetryException):
    pass

class RetryStopException(RetryException):
    pass

class retry:

    RetryNextException = RetryNextException
    RetryStopException = RetryStopException

    def __init__(self, timeout=0, step=0.25):
        self.timeout = timeout
        self.step = step

    def __call__(self, func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            elapsed = 0
            while True:
                try:
                    return func(*args, **kwargs)
                except self.RetryNextException:
                    pass
                if elapsed >= self.timeout:
                    raise self.RetryStopException()
                elapsed += self.step
                time.sleep(self.step)

        return wrapper

# Retry: End

def singleton(cls):
    """From PEP-318 http://www.python.org/dev/peps/pep-0318/#examples"""
    _instances = {}

    def get_instance(*args, **kwargs):
        if cls not in _instances:
            _instances[cls] = cls(*args, **kwargs)
        return _instances[cls]

    return get_instance

def get_systype():
    system = platform.system().lower()
    arch = platform.machine().lower()
    if system == "windows":
        if not arch:  # issue #4353
            arch = "x86_" + platform.architecture()[0]
        if "x86" in arch:
            arch = "amd64" if "64" in arch else "x86"
    return "%s_%s" % (system, arch) if arch else system

def pioversion_to_intstr():
    """Legacy for  framework-zephyr/scripts/platformio/platformio-build-pre.py"""
    vermatch = re.match(r"^([\d\.]+)", __version__)
    assert vermatch
    return [int(i) for i in vermatch.group(1).split(".")[:3]]

def items_to_list(items):
    if isinstance(items, list):
        return items
    return [i.strip() for i in items.split(",") if i.strip()]

def items_in_list(needle, haystack):
    needle = items_to_list(needle)
    haystack = items_to_list(haystack)
    if "*" in needle or "*" in haystack:
        return True
    return set(needle) & set(haystack)

def parse_datetime(datestr):
    if "T" in datestr and "Z" in datestr:
        return datetime.strptime(datestr, "%Y-%m-%dT%H:%M:%SZ")
    return datetime.strptime(datestr)

def merge_dicts(d1, d2, path=None):
    if path is None:
        path = []
    for key in d2:
        if key in d1 and isinstance(d1[key], dict) and isinstance(d2[key], dict):
            merge_dicts(d1[key], d2[key], path + [str(key)])
        else:
            d1[key] = d2[key]
    return d1

def print_labeled_bar(label, is_error=False, fg=None, sep="="):
    terminal_width = shutil.get_terminal_size().columns
    width = len(click.unstyle(label))
    half_line = sep * int((terminal_width - width - 2) / 2)
    click.secho("%s %s %s" % (half_line, label, half_line), fg=fg, err=is_error)

def humanize_duration_time(duration):
    if duration is None:
        return duration
    duration = duration * 1000
    tokens = []
    for multiplier in (3600000, 60000, 1000, 1):
        fraction = math.floor(duration / multiplier)
        tokens.append(int(round(duration) if multiplier == 1 else fraction))
        duration -= fraction * multiplier
    return "{:02d}:{:02d}:{:02d}.{:03d}".format(*tokens)

def strip_ansi_codes(text):
    # pylint: disable=protected-access
    return click._compat.strip_ansi(text)

redpajama_set_name: RedPajamaGithub


text:
All posts tagged "Sophie Turner"
General5 months ago
Sophie Turner reveals Sansa is getting an armour in Game of Thrones Season 8
With us being in the mid of February, Game of Thrones Season 8 seems to be arriving sooner than ever. While we wait for the official...
Sophie Turner says she has already told the ending of Game of Thrones to a few people
Game of Thrones Season 8 airs on April 14 on HBO and we can't hold our excitement any longer. Cast and crew members have hyped up...
CCXP Brazil 2018: Hopes are high for a big reveal from the Game of Thrones Panel
The CCXP (Comic-Con Experience) is happening this week in at the São Paulo Expo in Brazil, and yeah, Game of Thrones will be holding a panel. The...
'Welcome to the family' – Sophie Turner attends the wedding of Priyanka Chopra and Nick Jonas in India
Game of Thrones returns in April 2019 and the cast members have already started moving on – some of them taking up new projects and some...
HBO and cast members react to Donald Trump using a Game of Thrones reference on Twitter
Social media these days has become a weapon to share your emotions and frustrations on the internet and quickly get attention drawn especially on Twitter. The...
Sophie Turner reveals the souvenir she kept from Game of Thrones
The filming of the final season of Game of Thrones ended back in July and all cast members have revealed what it was like being on...
Sophie Turner talks about Sansa's role in Game Of Thrones Season 8 and more at New York Comic Con
Sansa Stark turned out to be one of the key players of the game in the series after she had Petyr 'Littlefinger' Baelish executed for treason....
General10 months ago
Sophie Turner feels Game of Thrones finale will divide the fans
Sansa Stark in the recent season of Game of Thrones has become one of the prominent characters who has risen to power. The tough decision of...
Take a look at the first trailer of Sophie Turner starrer X-Men: Dark Phoenix
The first official trailer of Game of Thrones star Sophie Turner starrer X-Men: Dark Phoenix is out and the fans have already started losing it! It...
Maisie Williams discusses the relationship between the Stark sisters
The growing tension between the Stark sisters in the last season of Game of Thrones had made many fans believe that either of them will die....


Continuing their successful season, the girl's basketball team played against Johnson on Wednesday, Jan. 30, at the Blossom gym.
Stopping Johnson from gaining the lead, Blakely follows them to block their passes.
Senior Leslie Pinedo dribbling down the court.
Blakely jumping past Johnson to take a shot.
Amara Defoe taking a freethrow shot.
Blakely running down the court after stealing the ball.
Cheerleader Kirsten Rivera waving to the crowd after the first quarter.
Sophia Schexnayder dribbling and looking for an opening to pass the ball.
Blakely dribbling past Johnson for a layup.
Aimee Quran, sophomore, waiting to block Johnson's pass.
Jackie Rosen smiling after the girls won the game 51-38.


text:
Committed. Experienced. Sagacious.
Benjamin Tran, PhD
Benjamin Tran has been the corporate strategist, investor, and financial partner in the formation and growth of several emerging growth technology companies. Benjamin specializes in cross-border M&A, private equity, merchant banking advisory and technology marketing. Benjamin, at times, serves as senior advisor to several publicly traded companies. Since February 2021 to present, Benjamin has served as Senior Capital Market Advisor for Iveda Solutions, Inc. (NASDAQ: IVDA), an AI and IoT technology company to assist with financing and uplisting to Nasdaq. From August 2017 to January 2019, he served as Advisory Chairman of Vemanti Group, Inc. (OTCQB: VMNT), an innovative fintech company to assist in M&A and international business development. From November 2018 to April 2021, Benjamin also co-founded and served as chairman of CBMD.com, a privately held physician-based CBD science company specializing in pain management. Benjamin served as CFO of privately held Stock Navigators, a leading software and educational training institution for technical traders from June 2018 to June 2019. Since 2014 to present, Benjamin has served as managing partner of United System Capital, a private equity advisory firm in Newport Beach, California. Prior to United System Capital, Benjamin was managing partner of an Asia-based joint venture with Brean Murray Carret & Co., a New York-based investment bank that has transacted over 100 IPOs/APOs/SPACs and raised over $4B for the U.S. and Asian companies. Benjamin spearheaded the organization to formulate a multi-functional investment banking service for emerging growth companies via globalization strategies. Benjamin has been seasoned international consultant providing corporate development and interim senior management to small and medium sized enterprises in Silicon Valley and the Asia Pacific region. He also served as a board director, CFO, corporate strategist, and executive advisor for several distressed companies, managing turn-around situations. As a Silicon Valley high-tech veteran, Benjamin brings over 20 years of diversified experience including mergers and acquisitions, venture management, strategic marketing, and international business development. Prior to his investment and corporate advisory career, Benjamin worked for technology leaders including Micron Technology, Fujitsu Microelectronics, Mitsubishi Electric America, Philips Semiconductors, holding various senior technical and marketing management positions. Benjamin received a PhD in Business Administration, a Masters in Business Administration from the University of Phoenix, a Masters of Science and Bachelor of Science degrees in Electrical Engineering from San Jose State University, California.
Gregory Trimarche, Esq.
Gregory has practiced law for over 20 years with some of the world's top law firms. Gregory served as partner of Greenberg Traurig, Bryan Cave, and Morrison & Foerster. His law practice was unusually broad, including extensive experience in environmental and energy law and a wide range of other governmental and regulatory fields, as well as finance, intellectual property, general commercial litigation, and strategic planning and risk avoidance. He conducted countless due diligence analyses in connection with mergers and acquisitions and other transactions (particularly involving companies in the energy, environmental and technology sectors. For the past two decades, his primary focus has been on emerging companies in the renewable energy and cleantech industries. Gregory is uniquely positioned to identify and evaluate IPO candidates, strategic acquisition targets, strategic partnership opportunities, and other investment opportunities in the energy sector. He also has extensive experience dealing with federal and state energy and environmental regulatory programs, as well as the various governmental incentive programs relating to the energy and utility industries. He is a frequent speaker at cleantech industry conferences, and has published many written works in these areas. Gregory is also the President and Chairman of the Board of Cleantech OC (Orange County's renewable energy and clean technology trade association). He also serves on the Board of Directors of OCTANe, the fundraising and networking organization for Orange County's technology industries. Gregory is a graduate of the University of Kansas and University of Kansas law school.
Restructuring. Building. Exit.
Frederick Cardin, PhD
Dr. Rick Cardin has been advising several emerging growth companies on building their businesses through M&A strategy, leveraged financing and global marketing in the areas of clean tech, agricultural tech, nanotech, automotive, finance, healthcare, food, franchise, newspaper, environment, data storage, and e-commerce via Harvard Growth Strategies and Harvard Square Technology Partners. Dr. Cardin serves on the Board of Directors or Board of Advisors of exciting growth companies, including ProOne (environmentally friendly super lubricants and fuel catalysts; SafetySpec (real-time, reliable detection of harmful contaminants in food systems); ECO Products Group (unique products for water conservation and agriculture); KESDEE (world leader in e-learning for finance professionals). His service as a public company Director has been commended by ISS / Risk Metrics. He is author or co-author of books on conflict of interest in securities, trends affecting the U.S. health care system, entrepreneurship, business finance and recycling. He founded a publicly traded food franchisor acquired by Pacific Equities. Dr. Cardin was formerly a Director and Principal of the Cambridge Research Institute, an international strategy consulting firm where many of his partners were department chairman at Harvard Business School. Dr. Cardin earned his Doctorate in Finance and MBA with Distinction from Harvard Business School, where he also served on the international finance faculty. He earned a BA summa cum laude from Tufts University where he fulfilled degree requirements in economics, math, and astronomy, and was elected to Phi Beta Kappa.
Yang Baoguo, PhD
Dr. Yang joined our firm to help with commercialization of new technologies toward the Asian region, being also responsible for cross-border M&A executions. Dr. Yang has over 20 years of experience in investment banking, post-merger restructuring, real estate management and private equity investment. He is also managing partner of Zhongchi Capital, a late stage technology private equity fund based in Shanghai. He is an industry specialist in renewable energy, real estates, consumer electronics, media, tourism and environmental protection. Though his M&A career, Dr. Yang has designed and executed more than 100 domestic and international M&A transactions, having published over 200 research assignments covering major industries in Asia. He has served as senior executive for several investment companies in China including Hope Investment Management, Delong Industrial Investment Management, and CYTS, the second largest travel company in China listed on Shanghai Stock Exchange. Dr. Yang Baoguo holds a PhD and a Master of Science in Coastal Engineering from Nanjing University and has served as visiting scholar at the University of Waterloo, Canada.
Analyzing. Recommending. Commercializing.
Venture Partners
Isra Wattanasarn, MBA
Sr. Venture Partner
Isra has over twenty years of experience in the financial services and information technology consulting fields. Isra has been a consultant/industry analyst for Fuji-Keizai, one of Japan 's top market research and technology consulting firms. At Fuji – Keizai Isra concentrates on helping clients with the strategy, market research, technology recommendations and information systems analysis. Clients are the world's largest and best-known consumer electronics, computer and communication companies. Before Fuji-Keizai, Isra served as a Vice President of Client Services at iframe, an Internet and information technology professional services firm, where he built the strategy group and managed all billable consultants. Prior to that, Isra was a Vice President at Merrill Lynch, in its Private Client Group, where he made venture capital investments in several media companies and high tech startups. He served as a board observer for those companies in which Merrill made investments. He has extensive experience in financial analysis, financial modeling and business plan analysis. Isra holds an MBA in Finance from New York University and has passed the CPA exam.
Charles Rosenberry
Charlie is responsible for due diligence on leadership capability of proposed investment candidates while building and strengthening business relationships worldwide by promoting the portfolio of CleanTek Venture Capital and revolutionary technology products. With a vast connection in several industries and Fortune 500 companies, Charlie has spent the past 30 years developing his expertise as a polished and forward thinking business leader with widely diversified experience in value-based sales, enterprise architecture and technology consulting. Working in senior leadership positions for some of the world's largest companies, including Siemens, Hewlett-Packard, Tata and Unisys, he generated more than $500 million in revenue in the IT services sector including Cloud Computing and Blockchain solutions. Charlie lives in the seaside community of Newport Coast, California. He is married with four children and in his leisure time enjoys gourmet cooking and coaching youth sports. Charlie holds a BS from the University of Tennessee.
Copyright © 2022 CleanTek Venture Capital - All Rights Reserved.
BEMS
EV & Infrastructure


text:
The South American Cantata for Human Rights was successfully performed
More than 80 artists paraded on the stage of the mythical Municipal Theater of Valparaíso over the weekend, to present the South American Cantata for Human Rights, an activity that was part of the commemoration of International Human Rights Day.
Among the presentations that gave birth to the free and self-managed show by the NGO Human Rights Platform for Good Living, the Marga Marga Orchestra, the Student Choir of the Music Institute of the Pontifical University of Valparaíso (IMUS PUCV), the singing and instrumental ensemble "Los Precisos" and Eduardo Albornoz.
The meeting began half an hour earlier in the traditional Plaza O'Higgins, with an ancestral ceremony developed by the Assembly of the Original Peoples of the Region of Valparaíso. Then, entering the foyer of the Municipal Theater, the public was able to appreciate an exhibition of images of the social epidemic of Buenos Aires by the Rival photographic collective. The activity began with a minute of silence in tribute to Jaime Andrés Garnham Saravia, human rights and social justice activist and co-founder of the Casa Memoria de Valparaíso.
Afterwards, the students of the Autonomous Student Movement of Valparaíso shared a greeting, as well as a greeting from Paulina Moreno, neighborhood leader of Cerro El Liter, and representatives of the organizations that make up the city's Human Rights Working Group, which also delivered in their support to political-cultural activity.
The presentation was given by Conina Fernández, actress and director of the CEAC Corporation, who also greeted the authorities present, including the Seremi de Cultura, Patricia Mix, the Undersecretary of Human Rights, Haydee Oberreuter, the Buenos Aires announcer and the councilor of Valparaíso Thelmo Aguilar and the governor Rodrigo Mundaca.
The concert itself included a series of presentations focused above all on children and young people, in a familiar and constructive environment.
Among the performances, the Mapuche singer Constanza Nahuelpán stood out with her deep voice, the children's storyteller Victoria Silva, founder of the Alumbra Creando company, and a beautiful guitar quartet from the Valparaíso Student Public Orchestra.
When the Cantata was finally announced, there was a standing ovation from the audience. The choir and declamations by Eduardo Albornoz followed
The concert was streamed on more than six platforms and with a large number of visits and, shortly, the audiovisual recording of the entire concert will be released, which will be disseminated through the social networks of the Human Rights Platform for Good To live.
Regional music
One of the participants was Franz Fonfach Ugalde, IMUS PUCV Vocal Training teacher and member of "Los Precisos", a group created in late 2021 with musicians from the PUCV Andean Orchestra, and the groups "Transiente", "Enlace" and " The messengers. "
"The show, whose management is highly regarded, as we know, was focused on the commemoration of another year of the International Day of Human Rights in which, in addition to the Cantata, there was the participation of different groups and social movements. The importance it had for me as a professor at the IMUS PUCV is to have been able to testify how more than 60 students of the Institute were able to demonstrate through singing, and on the basis of the topics of the Choral Practice matter carried out by Professor Ernesto Cárcamo Almonacid ., his art and his commitment to Human Rights," he said.
Likewise, he appreciated the participation of the Marga Marga Orchestra, "the vocal and instrumental soloists. Congratulations on the excellent work of the director, Luis José Recart, in charge of seeing the instrumental part. And of course to 'Los Precisos', in the instrumental voice, a group that saw the light in 2022 with members who come from various groups with the intention of showing the work of some Chilean cantatas and authors of a Latin American dimension. It was a beautiful evening, a beautiful day of which we are very proud, especially the participation of the students of the PUCV Musical Institute, as well as the teachers, which highlights the regional musical artistic field", specified Fonfach.
The "South American Cantata for Human Rights", by the Chilean composer Alejandro Guarello and the "Ortiga" Group, with texts by Father Esteban Gumucio, narrated by Roberto Parada, is a famous work which was published in 1978 as part of a Human Rights Symposium, organized in resistance to the brutal dictatorship of the time.


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text:
The Basics of Working in Human Resources
All Human Resources
Human Resources Management Careers
By Susan M. Heathfield
Working in HR takes a special type of person who is comfortable solving problems, improving processes, measuring achievements, developing systems, dealing with an organization's culture and, most importantly, working with people.
Whether you're thinking about a career in human resources or simply want to understand what HR employees do, here's everything you need to know.
Human Resource Management Basics
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Human resources is a huge career category with multiple job titles, functions and responsibilities. Here's everything you need to know about HR jargon, practices, acronyms and abbreviations. In addition, take an in-depth look at what people who work in human resource management really do and how HR departments are organized.
What Does a Human Resource Manager, Generalist, or Director Do?
A Human Resources generalist, manager, or director plays a wide variety of roles in organizations. Depending on the size of the organization, these HR jobs may have overlapping responsibilities. In larger organizations, the HR generalist, manager, and director have clearly defined, separated roles in HR management.
Sample Human Resource Management Job Descriptions
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Are you interested in writing Human Resources job descriptions or just curious about what the employees in HR do? These sample HR job descriptions provide a comprehensive look at what HR staff members do in each of these roles. You may be interested to learn the diverse responsibilities that HR provides in organizations.
Why Human Resources Leaders Need Degrees
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Human Resources leaders need degrees. If you are considering a career in Human Resources or trying to advance your current career, a Bachelors degree and even a Masters degree will assist you in achieving your goals and dreams.
What You Need to Know to Begin an HR Career
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Many people are eager to start careers in Human Resources because it is a fast-growing field with many lucrative opportunities for people who work in the field.
Career analysts expect the number of Human Resources jobs to increase in the future, and the median annual income for careers in Human Resources is above the national average for other jobs. You'll find information here about starting a career in HR and transitioning into HR from another career field.
Find Jobs in Human Resources -- Fast
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Finding jobs in Human Resources presents a special challenge. Too many HR job searchers apply for the too few available jobs. Employers' expectations of professionalism from people who apply for HR jobs are sky high—with reason.
Whether you planned an HR career from the beginning or are transitioning into HR from another field, you can speed up your HR job search by following some best practices.
Can You Immigrate for Jobs in HR?
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Anyone who wants to remain permanently in the U.S. must obtain an immigrant visa regardless of the field in which she wants to work. Human resources is no exception. Applicants must petition U.S. Citizenship and Immigration Services to request permission to apply for an immigrant visa. They're most readily available for individuals who are immediately related to a family member living in the U.S.
Employer-sponsored immigrant visas are also available for foreigners who wish to become U.S. residents.
How to Begin Your Career in Human Resources
Human Resource Management 101: Everything You Need to Know
What Does a Human Resources Manager or Director Do, Anyway?
How Can You Immigrate to the U.S. for a Job in HR?
How to Find a Job in Human Resources—Fast
How to Prepare to Pursue a Career in HR?
See These Sample Job Description to Know What People in HR Actually Do
Here's How You Can Do Human Resources Strategic Planning
How You Can Break Into a Career in Human Resources
Here's What You Need to Know About a Human Resource and More
How You Can Transition to a Career in HR
Human Resources Coordinator Job Description: Salary, Skills, & More
Human Resources, Management and Work Related Questions and Answers
Learn About the Benefits of the Society for HR Management (SHRM)
Insider Tips About How to Break into HR Management
Here's How to Target Your Search for a Job in HR


text:
Tim King
Board of Commissioners Biographies
Tim King is founder, President and CEO of Urban Prep Academies, a nonprofit organization operating a network of public college-prep boys' schools in Chicago (including the nation's first all-male charter high school) and related programs aimed at promoting college success. 100% of Urban Prep graduates—all African-American males and mostly from low-income families—have been admitted to four-year colleges/universities.
Tim also serves as an Adjunct Lecturer at Northwestern University and has published in the Journal of Negro Education, Chronicle of Higher Education, Chicago Tribune, Chicago Sun Times, and Huffington Post. King has been: named ABC World News "Person of the Week", Chicago Magazine's "Chicagoan of the Year", People Magazine's "Hero of the Year" and to Ebony Magazine's "Power 100" list; featured on Good Morning America, The Oprah Winfrey Show, and The Moth/USA Networks' Characters Unite series; and recognized by Presidents Barack Obama and Bill Clinton for his work with youth.
Tim has completed post-graduate work in Kenya and Italy; holds the Doctorate Honoris Causa from the Adler School; and has received the Bachelor of Science in Foreign Service and Juris Doctor Degrees from Georgetown University.
In 1996, Tim became the guardian of a former student orphaned when his mother died. That student was once homeless and now has graduated from college. Having a positive impact on this young man's life is the achievement of which Tim is the proudest.


text:
Q: New-lines in tex source. What are the rules? I recently discovered that if I put a % symbol above and below my equations when I used \begin{equation} and \end{equation} that my output PDF is made more compact, as tex interprets a new line as a new paragraph.
Previously I had been using \noindent to prevent indentation after equations and other structures such as \begin{itemize}.
Here is an example:
\subsection{Why Quantum Field Theory?}

Quantum Field Theory inevitably emerges from ``quantum mechanics'' + ``relativity''. It is the language of the Standard Model of Particle Physics. (QFT + Gauge Symmetry.)

\begin{itemize}
    \item {QFT + Gauge $\to$ All of Nature - Gravity}
\end{itemize}

\noindent
Particle collision cross section calculations are done in the framework of QFT.

And here is another example from a different section.
\subsection{Hamiltonian Formalism}

Equivalent to the Lagrangian formalism is the Hamiltonian formalism. The conjugate momentum is defined $p_i=\pderiv{L}{\dot{q}_i}$.\footnote{Note that this does \textit{not} correspond to the momentum in all systems.} The Hamiltonian is obtained from a Legendre Transform [proof]

\begin{equation}
    H(q_i,p_i)=\sum_i p_i \dot{q}_i-L(q_i,\dot{q}_i)
\end{equation}

\noindent
For a single particle $L=\tfrac{1}{2}m\dot{x}^2-V(x)$. $\pderiv{L}{\dot{x}}=m\dot{x}$, $H(x,p)=\tfrac{1}{2}m\dot{x}^2+V(x)$, which in this case corresponds to the total energy.

Newtons Law can be derived,

\[\deriv{}{t}\left(\pderiv{L}{\dot{x}}\right)=m\ddot{x}=\deriv{V(x)}{x}=F(x)\]

\noindent
Hamiltons Equations are used to derive equations of motion

\begin{align}
    \pderiv{H}{q_i}&=-\dot{p}_i\\\pderiv{H}{p_i}&=\dot{q}_i
\end{align}

You can see I've used \noindent a lot to get the indentation right.
I now think that I might be writing my tex code in a way which is non-optimal.
Is it better practice to put %'s on all blank lines where I do not want a new paragraph to start?

A: Examine the examples here, to see that a blank line indicates a paragraph break, but placing a % eliminates the interpretation of the rest of the line, including the linebreak.
Note that if a linebreak is followed by a non-blank line, the linebreak is interpreted as a space.
\documentclass{article}
\usepackage[T1]{fontenc}
\begin{document}
a
b

c

\noindent is interpreted as ``a <sp> b <sp> <par> c''

a%
b

c

\noindent is interpreted as ``a b <sp> <par> c''

a
b
%
c

\noindent is interpreted as ``a <sp> b <sp> c''

a%
b
%
c

\noindent is interpreted as ``a b <sp> c''

a%
b%
%
c

\noindent is interpreted as ``a b c''

\end{document}

A: Never ever leave a blank line before a math display. Never use \noindent in a document (well, hardly ever): using it more than once or twice means there's something wrong in your way of typing.
You can comment an otherwise blank line, but with decent syntax coloring you don't really need such tricks.
\subsection{Hamiltonian Formalism}

Equivalent to the Lagrangian formalism is the Hamiltonian formalism. The conjugate
momentum is defined $p_i=\pderiv{L}{\dot{q}_i}$.\footnote{Note that this does
  \textit{not} correspond to the momentum in all systems.} The Hamiltonian is
obtained from a Legendre Transform [proof]
\begin{equation}
  H(q_i,p_i)=\sum_i p_i \dot{q}_i-L(q_i,\dot{q}_i)
\end{equation}
For a single particle $L=\tfrac{1}{2}m\dot{x}^2-V(x)$.
$\pderiv{L}{\dot{x}}=m\dot{x}$, $H(x,p)=\tfrac{1}{2}m\dot{x}^2+V(x)$, which in
this case corresponds to the total energy.

Newtons Law can be derived,
\begin{equation*}
  \deriv{}{t}\left(\pderiv{L}{\dot{x}}\right)=m\ddot{x}=\deriv{V(x)}{x}=F(x)
\end{equation*}
Hamiltons Equations are used to derive equations of motion
\begin{align}
  \pderiv{H}{q_i} &= -\dot{p}_i \\
  \pderiv{H}{p_i} &= \dot{q}_i
\end{align}

Note equation* instead of equation: it's easier to remove or add a * instead of changing \[ and \] into \begin{equation} and \end{equation} or vice versa.

A: If you do not want to end the paragraph it is clearest  not  to add   the end of paragraph instruction  (blank line) . Adding it then commenting it out works but is more convoluted than necessary.  Ending the paragraph then starting a new one with noindent  is completely different and should be rarely needed


Index Industrial Design Consultants provides results-oriented design and development guidance, analysis, assessment and technical assistance. Our work is based on more than four decades of hands-on experience, helping clients achieve consistency, continuity and quality on complex design and development projects from engineering to finished product. We can help your design team transform great ideas into successful results.
We have in-depth experience on a wide spectrum of product and project types, large and small, commercial, industrial and consumer based. We have worked in the transportation, lighting, utility, medical, motorcycle, tool and equipment, electronics and industrial products sectors and have designed and managed comprehensive wayfinding and signage solutions, graphics and branding programs, architectural and theater lighting, furniture, casework and workstations.
Index Industrial Design Consultants works with client throughout the duration of a project, from concept to manufacture. We maintain the project overview while focusing on each successive phase to help clients make informed decisions and sustain strategic direction. We meet with clients at their sites and at our facilities, provide in-person analysis and assessment, and create reports where requested. We tailor our services to the requirements of the specific client product or project.
Product design is not simply a visual or aesthetic process, it is also a precise and technical problem-solving methodology.


The Char Siew Pau's meat tasted a little flat and the Pau was too thick, making it a little dry and powdery in the centre. Same case with the Dao Sar Pau. It could do with more Dao Sar filling. Both paus are definitely not value for money. 70 cents for such a small pau is plain ridiculous.
i ate at ho kee once..the one near aljunied mrt. somehow i didn't quite like it. the har kau skin was too thick compared to some other places. give me 126 anytime ..


Proceeds from the sale of AOMM 360 will go to two great causes: the Calgary chapter of the Canadian Mental Health Association and the Alberta Children's Hospital for brain and mental health research programs.
Note that AOMM was never made as a one-size cover.
If you're in Calgary, you can find Nature's Baby Basket in Brentwood at Dr. For Moms Health Centre, 120-3820 Brentwood Road NW. If you shop online, shipping is free for orders over $99.99. In-store pick up is also available. For orders under $99.99, flat-rate shipping is $9.99 within Canada or $4.99 for lettermail. For US customers, shipping is free over $149. Under $149, shipping is $14.99 flat rate, but for two weeks only in honor of AOMM 360, shipping to the US will be only $8.99. Sonja tells me that some lucky orders will be eligible for surprises this week!
One lucky winner will receive an AppleCheeks Always On My Mind Original cover in sizes 1, 2 or 3 and an AppleCheeks Always On My Mind 360 in one-size, size 1, 2 or 3.
Love this, beautiful green! .. the AOMM ~ Always On My Mind Charity! What a great & clever way to bring awareness to mental health & research. 🙂 Thanks for the opportunity to win & spread the word!
Ive heard great things about these!
I love the bright green of this diaper!
Love this colour green and LOVE Sonja! She's so wonderful!


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Andrea integrates her many identities as singer, yoga & meditation teacher, actor, business owner, and casting director to tell stories that connect with audiences in a meaningful way. She has been a featured speaker and trainer for Podcast Movement, Next Door Chicago, Singularity Storytelling Summit, Nikki Nigl's About Women, Chicago Public Schools, and many, many podcasts!
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