Speaking of Steam, the Linux version of Valve’s gaming platform has just received a pretty substantial set of fixes for crashes, and Timothee “TTimo” Besset, who works for Valve on Linux support, has published a blog post with more details about what kind of crashes they’ve been fixing. The Steam client update on November 5th mentions “Fixed some miscellaneous common crashes.” in the Linux notes, which I wanted to give a bit of background on. There’s more than one fix that made it in under the somewhat generic header, but the one change that made the most significant impact to Steam client stability on Linux has been a revamping of how we are approaching the setenv and getenv functions. One of my colleagues rightly dubbed setenv “the worst Linux API”. It’s such a simple, common API, available on all platforms that it was a little difficult to convince ourselves just how bad it is. I highly encourage anyone who writes software that will run on Linux at some point to read through “RachelByTheBay”‘s very engaging post on the subject. ↫ Timothee “TTimo” Besset This indeed seems to be a specific Linux problem, and due to the variability in Linux systems – different distributions, extensive user customisation, and so on – debugging information was more difficult to parse than on Windows and macOS. After a lot of work grouping the debug information to try and make sense of it all, it turned out that the two functions in question were causing issues in threads other than those that used them. They had to resort to several solutions, from reducing the reliance setenv and refactoring it with exevpe, to reducing the reliance on getenv through caching, to introducing “an ‘environment manager’ that pre-allocates large enough value buffers at startup for fixed environment variable names, before any threading has started”. It was especially this last one that had a major impact on reducing the number of crashes with Steam on Linux. Besset does note that these functions are still used far too often, but that at this point it’s out of their control because that usage comes from the libraries of the operating system, like x11, xcb, dbus, and so on. Besset also mentions that it would be much better if this issue can be addressed in glibc, and in the comments, a user by the name of Adhemerval reports that this is indeed something the glibc team is working on.

Ways to keep your brain healthy and functioning optimally.

Some tips for improving your workouts that will bolster your motivation, get your goals back on track.

Get valuable tips on how to promote your web site through effective dustribution of press releases.

Introducing the new e-book by Ken Evoy "Make Your Content PREsell." It's the only book of its kind. It will make you more effective, every way, every day. Every communication that you write will be better. Not just your web pages, e-zines or personal e-mail. Everything you ever write will simply be more effective.

[This Day] A social and developmental organisation, HACEY, has partnered with Access Corporation to improve maternal health outcomes for mothers at Meiran Primary Healthcare Center, Lagos.

This post discusses an update to Search Console's user and permissions to improve the accuracy and reflect the actual state of unused ownership tokens.

Recently, IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX for short) has provided us with low-cost, high efficiency and high bandwidth network services. However, as with the WiFi, the radio wave transmission also makes the WiMAX face the wireless transmission security problem. To solve this problem, the IEEE802.16Std during its development stage defines the Privacy Key Management (PKM for short) authentication process which offers a one-way authentication. However, using a one-way authentication, an SS may connect to a fake BS. Mutual authentication, like that developed for PKMv2, can avoid this problem. Therefore, in this paper, we propose an authentication key management approach, called Diffie-Hellman-PKDS-based authentication method (DiHam for short), which employs a secret door asymmetric one-way function, Public Key Distribution System (PKDS for short), to improve current security level of facility authentication between WiMAX's BS and SS. We further integrate the PKMv1 and the DiHam into a system, called PKM-DiHam (P-DiHam for short), in which the PKMv1 acts as the authentication process, and the DiHam is responsible for key management and delivery. By transmitting securely protected and well-defined parameters for SS and BS, the two stations can mutually authenticate each other. Messages including those conveying user data and authentication parameters can be then more securely delivered.

Aim/Purpose: The purpose of this study is to develop an efficient methodology that can assist the evaluators in assessing a variable number of individuals that are working in groups and guarantee that the assessment is dependent on the group members’ performance and contribution to the work developed. Background: Collaborative work has been gaining more popularity in academic settings. However, group assessment needs to be performed according to each individual’s performance. The problem rests on the need to distinguish each member of the group in order to provide fair and unbiased assessments. Methodology: Design Science Research methodology supported the design of a framework able to provide the evaluator with the means to distinguish individuals in a workgroup and deliver fair results. Hevner’s DSR guidelines were fulfilled in order to describe WebAVALIA. To evaluate the framework, a quantitative study was performed and the first results are presented. Contribution: This paper provides a methodological solution regarding a fair evaluation of collaborative work through a tool that allows its users to perform their own assessment and peer assessment. These are made accordingly to the user’s perspectives on the performance of each group member throughout the work development. Findings: The first analysis of the results indicates that the developed method provides fairness in the assessment of group members, delivering a distinction amongst individuals. Therefore, each group member obtains a mark that corresponds to their specific contribution to the workgroup. Recommendations for Practitioners: For those who intend to apply this workgroup assessment method, it is relevant to raise student awareness about the methodology that is going to be used. That is, all the functionalities and steps in WebAVALIA have to be thoroughly explained before beginning of the project. Then, the evaluators have to decide about the students’ intermediate voting, namely if the evaluator chooses or not to publish student results throughout the project’s development. If there is the decision to display these intermediate results, the evaluator must try to encourage collaboration among workgroup members, instead of competition. Recommendation for Researchers: This study explores the design and development of an e-assessment tool – WebAVALIA. In order to assess its feasibility, its use in other institutions or contexts is recommended. The gathering of user opinions is suggested as well. It would then be interesting to compare the findings of this study with the results from other experimentations Impact on Society: Sometimes, people develop a rejection of collaborative work because they feel exploited due to the biased evaluation results. However, the group members assessment distinction, according to each one’s performance, may give each individual a sense of fairness and reward, leading to an openness/willingness towards collaborative work. Future Research: As future work, there are plans to implement the method in other group assessment contexts – such as sports and business environments, other higher education institutions, technical training students – in other cultures and countries. From this myriad of contexts, satisfaction results would be compared. Other future plans are to further explore the mathematical formulations and the respective WebAVALIA supporting algorithms.

This paper will shed light on the lack of the development of appropriate monitoring systems in the field of education. Test banks can be easily purchased. Smart phones can take and share pictures of exams. A video of an exam given through Blackboard can easily be made. A survey to determine the extent of cheating using technology was given to several university students. Evidence is provided that shows security is lacking as evidenced by the number of students who have made use of technological advances to cheat on exams. The findings and conclusion may serve as evidence for administrators and policy makers to re-assess efforts being made to increase security in online testing.

Health Data collection is one of the major components of public health systems. Decision makers, policy makers, and medical service providers need accurate and timely data in order to improve the quality of health services. The rapid growth and use of mobile technologies has exerted pressure on the demand for mobile-based data collection solutions to bridge the information gaps in the health sector. We propose a prototype using open source data collection frameworks to test its feasibility in improving the vaccination data collection in Kenya. KenVACS, the proposed prototype, offers ways of collecting vaccination data through mobile phones and visualizes the collected data in a web application; the system also sends reminder short messages service (SMS) to remind parents on the date of the next vaccination. Early evaluation demonstrates the benefits of such a system in supporting and improving vaccination of children. Finally, we conducted a qualitative study to assess challenges in remote health data collection and evaluated usability and functionality of KenVACS.

Aim/Purpose: In this article, we provide a better solution to Webpage access prediction. In particularly, our core proposed approach is to increase accuracy and efficiency by reducing the sequence space with integration of PageRank into CPT+. Background: The problem of predicting the next page on a web site has become significant because of the non-stop growth of Internet in terms of the volume of contents and the mass of users. The webpage prediction is complex because we should consider multiple kinds of information such as the webpage name, the contents of the webpage, the user profile, the time between webpage visits, differences among users, and the time spent on a page or on each part of the page. Therefore, webpage access prediction draws substantial effort of the web mining research community in order to obtain valuable information and improve user experience as well. Methodology: CPT+ is a complex prediction algorithm that dramatically offers more accurate predictions than other state-of-the-art models. The integration of the importance of every particular page on a website (i.e., the PageRank) regarding to its associations with other pages into CPT+ model can improve the performance of the existing model. Contribution: In this paper, we propose an approach to reduce prediction space while improving accuracy through combining CPT+ and PageRank algorithms. Experimental results on several real datasets indicate the space reduced by up to between 15% and 30%. As a result, the run-time is quicker. Furthermore, the prediction accuracy is improved. It is convenient that researchers go on using CPT+ to predict Webpage access. Findings: Our experimental results indicate that PageRank algorithm is a good solution to improve CPT+ prediction. An amount of though approximately 15 % to 30% of redundant data is removed from datasets while improving the accuracy. Recommendations for Practitioners: The result of the article could be used in developing relevant applications such as Webpage and product recommendation systems. Recommendation for Researchers: The paper provides a prediction model that integrates CPT+ and PageRank algorithms to tackle the problem of complexity and accuracy. The model has been experimented against several real datasets in order to show its performance. Impact on Society: Given an improving model to predict Webpage access using in several fields such as e-learning, product recommendation, link prediction, and user behavior prediction, the society can enjoy a better experience and more efficient environment while surfing the Web. Future Research: We intend to further improve the accuracy of webpage access prediction by using the combination of CPT+ and other algorithms.

Aim/Purpose: This study presents a novel deep learning-based framework designed to enhance spontaneous micro-expression recognition by effectively increasing the amount and variety of data and balancing the class distribution to improve recognition accuracy. Background: Micro-expression recognition using deep learning requires large amounts of data. Micro-expression datasets are relatively small, and their class distribution is not balanced. Methodology: This study developed a framework using a deep learning-based model to recognize spontaneous micro-expressions on a person’s face. The framework also includes several technical stages, including image and data preprocessing. In data preprocessing, data augmentation is carried out to increase the amount and variety of data and class balancing to balance the distribution of sample classes in the dataset. Contribution: This study’s essential contribution lies in enhancing the accuracy of micro-expression recognition and overcoming the limited amount of data and imbalanced class distribution that typically leads to overfitting. Findings: The results indicate that the proposed framework, with its data preprocessing stages and deep learning model, significantly increases the accuracy of micro-expression recognition by overcoming dataset limitations and producing a balanced class distribution. This leads to improved micro-expression recognition accuracy using deep learning techniques. Recommendations for Practitioners: Practitioners can utilize the model produced by the proposed framework, which was developed to recognize spontaneous micro-expressions on a person’s face, by implementing it as an emotional analysis application based on facial micro-expressions. Recommendation for Researchers: Researchers involved in the development of a spontaneous micro-expression recognition framework for analyzing hidden emotions from a person’s face are playing an essential role in advancing this field and continue to search for more innovative deep learning-based solutions that continue to explore techniques to increase the amount and variety of data and find solutions to balancing the number of sample classes in various micro-expression datasets. They can further improvise to develop deep learning model architectures that are more suitable and relevant according to the needs of recognition tasks and the various characteristics of different datasets. Impact on Society: The proposed framework could significantly impact society by providing a reliable model for recognizing spontaneous micro-expressions in real-world applications, ranging from security systems and criminal investigations to healthcare and emotional analysis. Future Research: Developing a spontaneous micro-expression recognition framework based on spatial and temporal flow requires the learning model to classify optimal features. Our future work will focus more on exploring micro-expression features by developing various alternative learning models and increasing the weights of spatial and temporal features.

Aim/Purpose Information Technology students’ learning outcomes improve when teaching methodology moves away from didactic behaviorist-based pedagogy toward a more heuristic constructivist-based version of andragogy. Background There is a distinctive difference, a notable gap, between the academic community and the business community in their views of the level of preparedness of recent information technology program graduates. Understanding how Information Technology curriculum is developed and taught along with the underpinning learning theory is needed to address the deficient attainment of learning outcomes at the heart of this matter. Methodology The case study research methodology has been selected to conduct the inquiry into this phenomenon. This empirical inquiry facilitates exploration of a contemporary phenomenon in depth within its real-life context using a variety of data sources. The subject of analysis will be two Information Technology classes composed of a combination of second year and third year students; both classes have six students, the same six students. Contribution It is the purpose of this research to show that the use of improved approaches to learning will produce more desirable learning outcomes. Findings The results of this inquiry clearly show that the use of the traditional behaviorist based pedagogic model to achieve college and university IT program learning outcomes is not as effective as a more constructivist based andragogic model. Recommendations Instruction based purely on either of these does a disservice to the typical college and university level learner. The correct approach lies somewhere in between them; the most successful outcome attainment would be the product of incorporating the best of both. Impact on Society Instructional strategies produce learning outcomes; learning outcomes demonstrate what knowledge has been acquired. Acquired knowledge is used by students as they pursue professional careers and other ventures in life. Future Research Learning and teaching approaches are not “one-size-fits-all” propositions; different strategies are appropriate for different circumstances and situations. Additional research should seek to introduce vehicles that will move learners away from one the traditional methodology that has been used throughout much of their educational careers to an approach that is better suited to equip them with the skills necessary to meet the challenges awaiting them in the professional world.

Improving equity in data science, edited by Colby Tofel-Grehl and Emmanuel Schanzer, is a thought-provoking exploration of how data science education can be transformed to foster equity, especially within K-16 classrooms. The editors advocate for redefining

A new EU BON derived paper looks at the dynamics of science - policy dialogue, offering tips for improving the uptake of scientific knowledge.

Scientific knowledge is considered to be an important factor (alongside others) in environmental policy-making. However, the opportunity for environmentalists to influence policy can often occur within short, discrete time windows. Therefore, a piece of research may have a negligible or transformative policy influence depending on when it is presented.

These ‘policy windows’ are sometimes predictable, such as those dealing with conventions or legislation with a defined renewal period, but are often hard to anticipate. We describe four ways that environmentalists can respond to policy windows and increase the likelihood of knowledge uptake: 1) foresee (and create) emergent windows, 2) respond quickly to opening windows, 3) frame research in line with appropriate windows, and 4) persevere in closed windows. These categories are closely linked; efforts to enhance the incorporation of scientific knowledge into policy need to harness mechanisms within each.

In their new reseach the authors illustrate the main points with reference to nature conservation, but the principles are widely applicable. The open access paper is available here: http://www.sciencedirect.com/science/article/pii/S1462901117302095

Read also the article published on it by the British Ecological Society: http://www.britishecologicalsociety.org/windows-opportunity-influence-policy-four-tips-improve-uptake-scientific-knowledge/

Fiber cement siding is less susceptible to common environmental threats (such as fire, heat or moisture) than traditional wood cladding.

Washington — A $2 million federal grant will be used to establish the Department of Justice Jails and Justice Support Center, intended to create and maintain safe environments for workers and others in jail facilities.

Download this e-book to learn how to use the different types of safety data available to you to improve your safety program.

Vallejo, CA — Citing multiple studies that suggest shift workers are at increased risk of developing sleep disorders and metabolic syndrome – raising their chances for heart disease, stroke and Type 2 diabetes – a recent analysis led by a researcher from the Touro University College of Osteopathic Medicine concludes with actions both employers and workers can take to help improve shift worker health.

Silver Spring, MD — A new e-tool from CPWR – The Center for Construction Research and Training is intended to help manufacturers, distributors and importers of products that contain nanomaterials strengthen their Safety Data Sheets.

Iowa City, IA — Organizations seeking better safety results should adopt a more precise accounting system, a group of international researchers suggests.

A new online toolkit offers guidance on increasing flu vaccination coverage among workers in long-term health care facilities.

Washington — The Department of Labor has published a final rule intended to help its agencies, including OSHA, improve their collection efforts for citation penalties and other debts.

St. Paul, MN — Contractors doing work at oil refineries in Minnesota will soon be required to use a certain percentage of skilled and trained workers, under a new state law.

Staffing is big business and getting bigger by the day. This rapid growth has only fueled confusion around responsibility for safety training.

Washington — NIOSH, in conjunction with Wikipedia, has launched a yearlong campaign aimed at improving the free online encyclopedia’s content related to acoustics and the harmful effects of noise.

In the wake of severe injuries – including a death – involving laboratory researchers at U.S. universities, the Chemical Safety Board and the American Chemical Society are exploring the issues of education and training, near-miss reporting, and safety culture in university labs.

How can I accurately capture and apply feedback from workers and contractors to improve my organization’s safety culture?

Washington — Citing the increased circulation of airborne viruses when temperatures drop, “indoor air quality in the workplace during cold weather is especially critical,” OSHA says in a new alert.

Washington — The National Academy of Medicine has unveiled seven priorities it says will help strengthen the well-being of the health care workforce and “restore the health of the nation.”

Washington — Two lawmakers have reintroduced a bill that would mandate nurse staffing levels in hospitals in an effort to create better working conditions.

Springfield, IL — Legislation that would require driver’s education courses to feature lessons on worker and driver safety in highway constructions zones is advancing in the Illinois Legislature.