The health minister predicts difficult conversations with unions over pay due to budget problems.

The government has taken control of a decision over 8000 new homes near Sittingbourne.

Twitter is one of the closest things we have today to a de facto "public space" on the internet.

Elon Musk’s Twitter in the name of ‘Free Speech’ has just banned anyone mentioning that they have accounts on other platforms – whether that be Truth Social, Facebook, Mastodon or anywhere.  This is an unconscionable move clearly designed to disincentivize people from leaving the platform, locking them into his ecosystem. It is petulant, childish, selfish […]

Niels Wittich has unexpectedly stood down from his role as Formula 1's race director. The FIA named Rui Marques as his replacement.

This work describes an online handwritten character recognition system working in combination with an offline recognition system. The online input data is also converted into an offline image, and in parallel recognized by both online and offline strategies. Features are proposed for offline recognition and a disambiguation step is employed in the offline system for the samples for which the confidence level of the classier is low. The outputs are then combined probabilistically resulting in a classier out-performing both individual systems. Experiments are performed for Kannada, a South Indian Language, over a database of 295 classes. The accuracy of the online recognizer improves by 11% when the combination with offline system is used.

In this paper, we propose a novel dexterous technique for fast and accurate recognition of online handwritten Kannada and Tamil characters. Based on the primary classifier output and prior knowledge, the best classifier is chosen from set of three classifiers for second stage classification. Prior knowledge is obtained through analysis of the confusion matrix of primary classifier which helped in identifying the multiple sets of confused characters. Further, studies were carried out to check the performance of secondary classifiers in disambiguating among the confusion sets. Using this technique we have achieved an average accuracy of 92.6% for Kannada characters on the MILE lab dataset and 90.2% for Tamil characters on the HP Labs dataset.

One important subject associated with personal authentication capabilities is the analysis of handwritten signatures. Among the many known techniques, algorithms based on linguistic formalisms are also possible. However, such techniques require a number of algorithms for intelligent image analysis to be applied, allowing the development of new solutions in the field of personal authentication and building modern security systems based on the advanced recognition of such patterns. The article presents the approach based on the usage of syntactic methods for the static analysis of handwritten signatures. The graph linguistic formalisms applied, such as the IE graph and ETPL(k) grammar, are characterised by considerable descriptive strength and a polynomial membership problem of the syntactic analysis. For the purposes of representing the analysed handwritten signatures, new hierarchical (two-layer) HIE graph structures based on IE graphs have been defined. The two-layer graph description makes it possible to take into consideration both local and global features of the signature. The usage of attributed graphs enables the storage of additional semantic information describing the properties of individual signature strokes. The verification and recognition of a signature consists in analysing the affiliation of its graph description to the language describing the specimen database. Initial assessments display a precision of the method at a average level of under 75%.

Twitter, personnellement j'adore. J'ai connu ses balbutiements, il y a dix ans, nous n'étions que quelques blogueurs et journalistes, c'était un formidable lieu d'informations et de déconnes gentilles... à l'époque, il n'y avait pas de trolls aigris et...

1. ‘Been a long time since I felt that way’: Sexually transmitted infection numbers provide new hope  POLITICO
2. There are millions of sexually transmitted infections in the US every year, but new data shows the epidemic may be slowing  CNN
3. America's STD explosion laid bare and the shocking number of people catching one every minute  Daily Mail
4. At Long Last, the Surge in S.T.I.s May Be Leveling Off  The New York Times

Alors qu'une fois encore des révélations aussi pénibles qu'indignes sont faites, cela pourrait-il ne pas nous toucher ? Pour certains, tout cela ne change rien. L'important, ce sont les fins dernières et la sanctification personnelle. Pour d'autres, cela change tout, ce qui est le cas du Fr. Philippe Lefebvre, qui a développé un propos qui peut être aussi perturbant que (re)fondateur.

Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based Education. However, the CLOs definition is still presenting a big handicap for faculties. There is a lack of supported tools and models that permit to predict whether a CLO is well written or not. Consequently, educators need an expert in quality and education to validate the outcomes of their courses. Methodology: A novel method named CLOCML (Course Learning Outcome Classification using Machine Learning) is proposed in this paper to develop predictive models for CLOs paraphrasing. A new dataset entitled CLOC (Course Learning Outcomes Classes) for that purpose has been collected and then undergone a pre-processing phase. We compared the performance of 4 models for predicting a CLO classification. Those models are Support Vector Machine (SVM), Random Forest, Naive Bayes and XGBoost. Contribution: The application of CLOCML may help faculties to make well-defined CLOs and then correct CLOs' measures in order to improve the quality of education addressed to their students. Findings: The best classification model was SVM. It was able to detect the CLO class with an accuracy of 83%. Recommendations for Practitioners: We would recommend both faculties’ members and quality reviewers to make an informed decision about the nature of a given course outcome. Recommendation for Researchers: We would highly endorse that the researchers apply more machine learning models for CLOs of various disciplines and compare between them. We would also recommend that future studies investigate on the importance of the definition of CLOs and its impact on the credibility of Key Performance Indicators (KPIs) values during accreditation process. Impact on Society: The findings of this study confirm the results of several other researchers who use machine learning in outcome-based education. The definition of right CLOs will help the student to get an idea about the performances that will be measured at the end of a course. Moreover, each faculty can take appropriate actions and suggest suitable recommendations after right performance measures in order to improve the quality of his course. Future Research: Future research can be improved by using a larger dataset. It could also be improved with deep learning models to reach more accurate results. Indeed, a strategy for checking CLOs overlaps could be integrated.

Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practice's on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendations for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area.

This study examined the phenomenon of academic dishonesty among university students. It was based on Pavela’s (1997) framework of types of academic dishonesty (cheating, plagiarism, fabrication, and facilitation) and distinguished between digital and “traditional”- analog dishonesty. The study analyzed cases of academic dishonesty offenses committed by students, as well as the reasons for academic dishonesty behaviors, and the severity of penalties for violations of academic integrity. The motivational framework for committing an act of academic dishonesty (Murdock & Anderman, 2006) and the Self-Concept Maintenance model (Mazar, Amir, & Ariely, 2008) were employed to analyze the reasons for students’ dishonest behaviors. We analyzed 315 protocols of the Disciplinary Committee, at The Open University of Israel, from 2012-2013 that represent all of the offenses examined by the Committee during one and a half years. The findings showed that analog dishonesty was more prevalent than digital dishonesty. According to the students, the most prevalent reason for their academic dishonesty was the need to maintain a positive view of self as an honest person despite violating ethical codes. Interestingly, penalties for analog dishonesty were found to be more severe than those imposed for digital dishonesty. Surprisingly, women were penalized more severely than men, despite no significant gender differences in dishonesty types or in any other parameter explored in the study. Findings of this study shed light on the scope and roots of academic dishonesty and may assist institutions in coping effectively with this phenomenon.

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial.

Based on the diffusion of innovation (DOI) theory (Rogers, 2003), the uses and gratifications (U&G) theory, and trust theory, this study investigated the factors that influence the use of Twitter among the Kuwaiti community. The study surveyed Twitter users in Kuwait. A structured online questionnaire was used to collect data, and 463 respondents who provided complete answers participated. Multiple regression analysis was used to examine the effect of three theoretical perspectives on Twitter usage. The result of the analysis showed that Twitter usage is better explained by DOI constructs than by U&G constructs. The findings indicated that the perceived relative advantage from DOI, and the need for information, need to pass time, and need for interpersonal utility from the U&G approach, have a direct positive significant effect on the use of Twitter. None of the trust theory constructs was found to be significant in predicting the general use of Twitter. The study results help Twitter providers and users in individual or organizational contexts to understand what factors generally affect the usage of the Twitter service.

Aim/Purpose: Nigeria’s university education goes through incessant strikes by the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on micro-blogging sites like Twitter. This study analyzed selected historical tweets from the “ASUU” to understand citizens’ opinions. Background: The researchers conducted sentiment analysis and topic modelling to understand Twitter users’ opinions on the strike. Methodology: The researchers used the Valence Aware Dictionary for Sentiment Reasoning (VADER) technique for sentiment analysis, and the Latent Dirichlet allocation (LDA) was used for topic modelling. A total of 10,000 tweets were first extracted for the study. After data cleaning, 1323 tweets were left. Contribution: To the researcher’s best knowledge, no published study has presented a sentiment analysis on the topic of the ASUU strike using the Twitter dataset. This research will fill this gap by providing a sentiment analysis and drawing out subjects by exploring the tweets on the phrase “ASUU.” Findings: The sentiment analysis result using VADER returned 567 tweets as ‘Negative,’ with the remaining 544 and 212 categorized as Positive and Neutral. The result of the LDA returned six topics, all comprising seven keywords. The topics were the solution to the strike, ASUU strike effect, strike Call-off, appeal to ASUU, student protest and student appeal. Recommendation for Researchers: Researchers can use this study’s findings to compare with other contexts of opinion mining. Practitioners may also use the research to understand better the attitudes of their staff and students about the strikes to create actionable solutions before the suspension of the strike. Future Research: Future studies can collect information from other social networking and blogging sites.

Aim/Purpose: Embitterment comprises a stress-related response to unjust life experiences. Studies have found that it can have a toll on employees’ well-being. However, research on this matter is still in its infancy. Background: Within the scope of the present study, Ι sought to investigate how embitterment relates to burnout – the prolonged consequence of stress. This study further explored whether breaches of psychological contracts can trigger embitterment. Methodology: The study employed a cross-sectional design where two hundred and eight (N = 208) participants from the general population completed an online survey. Contribution: Findings suggest that the toll of embitterment might be much more than what research has suggested so far. Those who experience embitterment can become emotionally exhausted and cynical and these findings can be especially useful when identifying embitterment. Findings: It was found that embitterment related to higher burnout levels and more specifically emotional exhaustion and cynicism. No significant findings were revealed for the relationship between professional inefficacy and embitterment. Also, psychological contract breach was found to be a significant predictor of embitterment, supporting further the notion that perceptions of injustice can trigger feelings of embitterment. Results also showed that embitterment mediated the relationship between psychological contract breach and burnout. Recommendation for Researchers: The study highlights the notion that fairness is a key precursor of embitterment, and this finding is essential when developing interventions to prevent embitterment from arising. Future Research: Future research could use a longitudinal study design to unravel whether burnout represents a precondition or the consequence of embitterment. Future research should also include more objective measures. For example, it would be useful to pair self-report data with more objective measures on embitterment (e.g. clinical interviews).

Jitterbug makes both flip phones and smartphones for seniors. Take a look at the product line, monthly costs, device activation and actual customer reviews.

The post 6 Things To Know Before Buying a Jitterbug Phone on Lively appeared first on Clark Howard.

Meghan Markle would have to take a great leap of faith if she wants to heal her rift with the Royal Family.

The Duchess of Sussex is told the key to Royal amendments is to make up with Kate Middleton with special apology.

Royal expert Richard Eden speaks on Palace...

Now we all know what 'establishment' refers to — it is the army and its agencies who poke their noses into...

FDA announced this week the formation of a new advisory committee – the Digital Health Advisory Committee – for the purpose of providing the agency with advice on matters related to digital health technologies (DHT). FDA does not form new … Continue reading →

I published these immediately after writing this:

Several months ago I drew some Mimi & Eunice cartoons about modern transactivism. As you might guess, these will be very offensive to some people. I have and have long had trans friends, but modern transactivism is no more representative of them, than Zionism is of Jews, . . . → Read More: The Jenndra Identitty Comics

For at tiltrække lejere til de tusindvis af tomme lejemål i Aarhus lokker udlejere med alt fra gratis cykler til gavekort til mad og møbler. En enkelt går endda så vidt som til at tilbyde boliger til fornuftige priser.

Indlægget Aarhus-udlejers vanvittige lokkemetode: Permanent lav husleje blev først udgivet på RokokoPosten.

cna

The presidential election is right around the corner. This event has not put the nation in a very good mood.

My Little Pony finally made it to the winner's circle.

Change is knocking on the door of Baltimore’s iconic Lexington Market. Ground has been broken on a new market building, and local vendors are wondering if they’ll have a place in the much-hyped new structure. In this episode, merchants, artisans, security officers, and custodians reflect on their lives and the uncertain future of the market they call home.

Formula 1 race director Niels Wittich will be replaced in a surprise move with three races to go and the title yet to be decided.

San Francisco third baseman Matt Chapman won his fifth Gold Glove and Kansas City shortstop Bobby Witt Jr. was among 14 first-time winners of baseball's most famous fielding honor.

Los Angeles Dodgers star Shohei Ohtani is a finalist for his first National League MVP award after winning the AL honor twice, joined among the top three in NL voting by New York Mets shortstop Francisco Lindor and Arizona second baseman Ketel Marte.

The president of the suspended Russian Olympic Committee said Tuesday he plans to step down after six years in charge.

The Martin-Luther-Universität Halle-Wittenberg offers in cooperation with GEO BON and iDiv the position of Executive Director for the duration of 30 months (initially limited till September 30th, 2016 with possibility of extension). The Executive Director will work in close collaboration with the incoming Chair of the GEO BON Steering Committee, Prof. Henrique M. Pereira (iDiv) and the incoming vice-chair, Dr. Mike Gill (Environment Canada), thematic workgroup coordinators, regional BON coordinators, the GEO BON Steering Committee and the GEO secretariat.

Requirements:
• Ph.D. in ecology or related field
• excellent diploma or master degree in a relevant field
• demonstrable experience in project management with executive leadership in organizations a plus
• excellent communication skills, fluency in English, knowledge of other languages being a plus
• willingness to travel abroad frequently, outgoing and at ease in multicultural backgrounds

Topic/job description:
• Providing visible leadership for GEO BON and representing GEO BON at scientific and policy meetings
• Creating funding opportunities through engagement with potential donors
• Coordinating activities of GEO BON Working Groups and Regional Observation Networks
• Liaising with national and regional organizations involved in biodiversity monitoring and reporting
• Organize the Steering Committee, All-hands and other meetings of GEO BON and manage the communication activities of GEO BON, including a regular newsletter and a website
• Manage, as and when required, activities and inputs requested by the GEO secretariat

Applications should be directed to emily.keller@idiv.de and addressed to Henrique M. Pereira, Professor of Biodiversity Conservation, iDiv. Applications should be in a single PDF file with reference file number (D 189/2013). Applications are accepted until January 6th, 2014.

For more information see attached the full text of the job offer.

in Leipzig

From his early years taking classical piano lessons, to playing in a rock band during the 1990s, composer Jeff Cardoni has built up a diverse ... Read more

The post “When I chose “Training Day,” I was on the hunt for something a little darker than some of my other recent projects” appeared first on CMUSE.

"We're getting there. It's a long journey, it's a long season. Taking care of your body is important."

The post Jaylen Brown shares encouraging update on hip injury: ‘Felt a little bit more of that burst’ appeared first on Boston.com.

The bands paired up to take the house down on their Take Me Home Tour Thursday night.

The post Review & setlist: Little Big Town and Sugarland brought their harmonies home to TD Garden appeared first on Boston.com.

For the purposes of this article, I will confine my selection of violin works to the Baroque, Classical and Romantic periods of music. Once you ... Read more

The post 4 Hardest Violin Pieces Ever Written (Most Difficult Violin Pieces) appeared first on CMUSE.

Plus: A new romance-only bookstore in Cambridge, a dive into SNL history, and the International Antiquarian Book Fair.

The post 8 books to soothe your Election Day jitters appeared first on Boston.com.

Have you heard the news? Christmas IS ON A SUNDAY this year! It doesn’t happen again till 2022 and then again in 2033,2039 and 2050. But like it or not, it’s a reality in the here and now. So what are you going to do about it?

The last time Christmas was on a Sunday was in 2011. Back then a LifeWay Research poll of 1,000 Protestant pastors, 91% were planning on having a service of some kind on Christmas Sunday morning. While 69% said they were also going to have a Christmas Eve service. Of the estimated 9%, who were not planning on having a service, some made national headlines when they decided to cancel.

You might have noticed the term, “service of some kind,” as many churches had modified their regular activities to allow for people to participate in both their family traditions and attend a church service. Many had elected to only do one “family service” (which offered no separate children’s programs) held later in the morning. This was to minimize the demands on volunteers but also to be together on a special day.

This was the approach that my church took in 2011. To say the least, I was a bit skeptical at first. Thinking that few would come and after all the work that goes into Christmas Eve I was not excited about showing up early the next morning. But I can honestly say it was one of the best Christmas’s. First of all, we left everything in place from the night before so we didn’t have to set anything up. Then, like I previously mentioned, the service was later in the day, which allowed for Christmas morning traditions, presents, and breakfast. So that after the wrapping paper had been torn to shreds we actually had something to do. The service lasted about an hour. The worship team did two Christmas songs, we had the kids do a few special songs to tracks, which all the parents and grandparents loved (also brought their family out to church) and didn’t require a bunch of prep or costumes. Our Pastor shared a short message of hope. Not to sound overly spiritual here but it really was a very spiritual moment to be in church on Christmas. After the service concluded we exchanged Christmas greetings with our church family and then headed home to play with new toys, eat again, and spend the day with family.

No matter what you choose to do this Christmas, we just wanted to make you aware it was coming so you could plan. Also wanted to share some thoughts and experiences, but we really wanted to get the conversation started. What did your church do on Sunday Morning Christmas 2011? What worked and what didn’t?  What are you going to do this year?

Leave a comment below or hit us up on twitter.

Today, we're excited to introduce you to someone on the front lines of worship every single week at a local church, just like you!  He's a worship leader, pastor, husband, father and a good friend of the ministry: Jordan Merritt.

Jordan is currently serving as Worship Pastor at Embrace Church in Sioux Falls, SD, one of the fastest-growing churches in the country.  In addition to leading worship, he is a gifted songwriter. He co-wrote the Newsboys single, “You Hold It All,” and he has written songs for multiple projects with artists including Newsboys, Selah, Travis Ryan, and others. Jordan’s desire is to see the Church equipped, refreshed, and reminded of God’s promises through worship.

Thank you to Jordan for taking the time to sit down with us!  We hope you are encouraged by a "fellow soldier in the fight", who is leading worship in a local church every week.  Be encouraged and be confident that God has put you on mission as a worshipper in your church ... to restore the honor of God, to restore the People of God and to bring His presence into your services each and every week. 

Have a great week!