Set Of Programs Research Articles

Influence of Functional Training on Special Technical Movement Ability and Athletic Performance of Male Basketball Players

Functional training, since Beijing Olympic Games, from field of medical rehabilitation to field of competitive sports, advanced scientific training concepts and training methods have gradually been recognized by domestic competitive sports workers and coaches. Therefore, functional training should be developed to grass-roots team to lay a solid foundation for sustainable development of competitive sports in our country. In this paper, a complete set of functional physical training program is designed by using methods of literature, expert interviews, experiments, mathematical statistics, and logical analysis. Finally, it is found that functional training can improve physical coordination of men's basketball. And symmetry, flexibility of athletes' ankle joints, thoracic spine, shoulder joints and stability of knee joints and cores have been improved, reducing probability of sports injuries, providing a theoretical basis for innovative scientific training of male basketball players in my country.

Analysis of information flow security using software implementing business logic based on stored database program blocks

Objectives. Verification of software security is typically performed using dynamic and static analysis tools. The corresponding types of analysis do not usually consider the business logic of the software and do not rely on data access control policies. A modern approach to resolving this problem is to implement language-based information flow control. Despite a large amount of research, mechanisms for information flow control in software are not widely used in practice. This is because they are complex and impose increased demands on developers. The aim of the work is to transfer information flow control from the language level to the level of formal verification. This will enable the functions of controlling data integrity and confidentiality in software to be isolated into a separate task, which can be resolved by information security analysts.Methods. The research is based on general formal security methods for computer systems and formal verification methods. The algorithm developed by the author for checking security specifications and resolving security violations uses temporal logic of actions.Results. The technology is presented as a step-by-step approach to resolving specific tasks, including the following: designing a database (DB) for storing and processing sensitive information; analyzing dependencies and identifying relevant sets of program blocks in the DB; generating TLA+ specifications for the identified program blocks; labeling specifications according to global security policy rules and additional constraints; applying the specification verification algorithm, and resolving security violations while providing recommendations for software developers. The procedure also involves analyzing labeled data, in order to control the spread of verified program block output values in external software modules.Conclusions. The technology presented herein does not require developers to include redundant annotations describing security policy rules. The function of analyzing information flows with reference to predefined access restrictions is moved to a separate stage of the software development life cycle.

The problem of ambiguity in the practice of a logical approach to the development of critical abilities

The intensification of the sphere of the study of critical thinking based on formal logical principles, found in the works of modern researchers, actualizes the appeal to the topic of logical analysis of language. The program settings of the course «Logic and critical Thinking» are focused on the thorough immersion of participants in the acute issues of the use of natural language. The purpose of this article is to reflect on the subjects of ambiguity in language and the operational tasks of pedagogical practice in critical thinking that arise in this regard. Understanding the experience of implementing an educational project is aimed at outlining the logical foundations of critical skills built through the prism of students’ reflexive vision. The framework of language and thinking problems is evaluated through ranking of course positions illustrating the possibilities of developing critical thinking through comprehension of language forms. The registered ambiguity is shown taking into account the requirements of the verbal or situational context in the application of the concept. The analysis of texts carried out in a practical lesson leads to the understanding of ambiguity as a linguistic norm that requires acceptance and appropriate cognitive support. The achievement of students becomes a competent vision of the content of the problem of ambiguity, characterizing critical judgment abilities in handling information. Attention is focused on the fact of terminological ambiguity, which implies the identification of clear meanings and deepening into the processes of cognition as such. The conclusion is made about the need for methodical development of the problem of ambiguity in language, since the focus on the subtleties of intellectual and speech mechanisms contributes to the formation of critical skills of project participants.

Lumasiran treatment in pediatric patients with PH1: real-world data within a compassionate use program in Italy.

Primary hyperoxaluria (PH) is a rare, severe genetic disorder, characterized by increased urinary excretion of calcium oxalate, which is responsible for kidney damage and systemic clinical manifestations. Since the year 2020, a new molecule, lumasiran, based on RNA interference (RNAi) technology, has been added to the traditional therapeutic approach. The aim of this analysis was to define the baseline characteristics of a PH1 pediatric population treated with lumasiran in a compassionate-use program setting, and to evaluate the medium-term efficacy of this drug in the routine clinical setting. A retrospective observational analysis was conducted in nine pediatric patients (male:female 5:4; median age at lumasiran start 1.9 years, range 0-14.1). Data concerning oxalate concentration in plasma and urine, kidney stones events, ultrasound and kidney function were collected during the study period (follow-up, mean±standard deviation: 15.3±5 months). In this analysis, a reduction in the urinary oxalate to creatinine ratio (reduction range within the sixth month of treatment from 25.8% to 69.6%, median 51.2%) as well as plasma oxalate concentration under the limit of supersaturation of oxalate in all the patients. Only one patient presented new stone events; kidney ultrasonographic findings related to nephrocalcinosis remained stable in eight out of nine patients. Glomerular filtration rate remained stable during treatment. No adverse events related to lumasiran were noted. Data from this analysis support the efficacy and safety of lumasiran in a pediatric clinical setting, especially if administrated in early life.

EMinsight: a tool to capture cryoEM microscope configuration and experimental outcomes for analysis and deposition.

The widespread adoption of cryoEM technologies for structural biology has pushed the discipline to new frontiers. A significant worldwide effort has refined the single-particle analysis (SPA) workflow into a reasonably standardized procedure. Significant investments of development time have been made, particularly in sample preparation, microscope data-collection efficiency, pipeline analyses and data archiving. The widespread adoption of specific commercial microscopes, software for controlling them and best practices developed at facilities worldwide has also begun to establish a degree of standardization to data structures coming from the SPA workflow. There is opportunity to capitalize on this moment in the maturation of the field, to capture metadata from SPA experiments and correlate the metadata with experimental outcomes, which is presented here in a set of programs called EMinsight. This tool aims to prototype the framework and types of analyses that could lead to new insights into optimal microscope configurations as well as to define methods for metadata capture to assist with the archiving of cryoEM SPA data. It is also envisaged that this tool will be useful to microscope operators and facilities looking to rapidly generate reports on SPA data-collection and screening sessions.

Разработка образовательной интеллектуальной системы анализа полимерных материалов в аддитивном производстве

The work presents the “Expert Polymer” educational intelligent system for identifying particles suitable for 3D printing. The software package is designed to analyze images of polymer materials on a production site using optics. It is planned that this intelligent system will be used as an educational set of programs for students of higher educational institutions, as well as for bioengineers and materials scientists for scientific and production purposes. The study used Internet of Things (IoT) technologies to obtain images from optical measurement devices (electron microscope, etc.) from system users and send them the results of image analysis. By interacting the electron microscope with the created software package, the task of determining the number of all particles and the number of particles that satisfy the 3D printing algorithm was performed. Based on these data, the expert makes a decision on the possibility of using polymer particles for subsequent 3D printing. To implement the system, modern libraries of the Python programming language were used, namely Pandas, Direction2 and YOLOv5 and others.

Supply chain management research productivity and topics: 2020–2022

AbstractThis article continues the longest‐standing evaluation of publication productivity in the academic field of supply chain with the combined series spanning 55 years. In this edition, we update the schools and individual scholars producing the most supply chain publications from 2020 to 2022. Despite a new top‐ranked school, the top 10 list remains largely consistent with previous editions, as does the core set of top supply chain doctoral programs. In contrast, the list of the remaining top 25 schools continues to change and includes more international (i.e., non‐U.S.) schools. Additionally, the barriers to entry to become a strong supply chain research school are lower than in the past, while author concentration analyses confirm that the supply chain scholarly field has become more dispersed. Combined, the results support not only highly productive authors and schools with recognition and resource requests but also aspiring authors and schools with their research paths and benchmarking. We voice concerns, however, about both the supply of new supply chain scholars and the decreasing authorship of industry practitioners that had been a staple of our applied field. As a further contribution, we organize the most frequent keywords since 2020 to help scholars identify contemporary and understudied topics.

The effect of gender on emotional reactions and perceptions when individuals meet themselves in immersive virtual reality

Immersive virtual reality-based training and research are becoming more and more popular and are in continuous development. For instance, it is now possible to be trained by one’s virtual self (i.e., doppelganger), meaning that a trainee can participate in a training program in which the trainer resembles the trainee. While past research involving doppelgangers showed promising results, findings revealed gender effects such that doppelganger-based training seems to be beneficial only for male trainees. In the present research, we contribute to this literature by investigating the emotional reactions and perceptions that people have when they meet a virtual human in immersive virtual reality. Specifically, we assess the extent to which the appearance of the virtual human (doppelganger vs. unknown avatar) and an individual’s gender influence these reactions and perceptions. We found that males felt more positive emotions toward their doppelganger than toward the unknown avatar and that females perceived their doppelganger as less competent and warm than the unknown avatar. Our findings have important practical implications in terms of virtual reality-based training and research design such that the use of a doppelganger (unknown avatar) might be recommended in a training program or research setting involving men (women).

Integration of a Tobacco Cessation Program into a Rural Community-Based Maternal and Child Health Program in India: A Stakeholders' Perspective on Task Shifting.

According to the Global Adult Tobacco Survey-2, India, 7.5% of pregnant women are tobacco users with a high prevalence of smokeless tobacco use in rural India. Although pregnant women may receive advice to quit tobacco, lack of knowledge on providing cessation support among healthcare workers results in missed opportunities. Community Health Workers (CHWs) play a significant role in maternal and child health (MCH) programs. Thus, task-shifting for providing cessation support by CHWs was planned and the perceptions and attitudes of concerned stakeholders were explored. A pre-implementation qualitative study was conducted in four states of India within existing rural, community-based MCH program settings. Implementation research frameworks were used to develop data collection tools and for inductive and deductive thematic analysis. In-depth interviews were conducted with stakeholders (n = 28) like coordinators, pregnant women, and village functionaries of the government health system. Four focus groups were conducted with female CHWs (n = 24). Stakeholders intended to adopt the intervention as objectives of the cessation intervention were aligned with the aims of the MCH program. CHWs related to their role in task-shifting and understood the context for implementing the intervention within the MCH program. Pregnant women expressed openness to receiving cessation support from CHWs acting as a facilitator for task-shifting. Barriers anticipated were the additional workload and time required for CHWs to implement the intervention. Task-shifting to female CHWs for screening tobacco users, providing brief advice and cessation support within the MCH program was perceived to be acceptable, adoptable, and feasible. The study builds insight into the process of developing a grounded approach for the integration of tobacco cessation intervention into a rural, community-based antenatal care setting by task shifting to female CHWs for providing cessation support to pregnant women. The study fills gaps in the literature related to establishing tobacco cessation interventions for pregnant women. The delineated efforts in integration of the intervention and task shifting can be replicated in other developing countries, especially in rural communities within South Asian and Southeast Asian regions having cultural practices, community-based healthcare structures, and tobacco consumption patterns that are comparable to India.

Teaching of Microsurgery and Supermicrosurgery for Residents.

On the basis of our numerous years of experience in teaching residents without microsurgery experience and assisting in the initiation of microsurgery in clinical practice, we herein describe the general procedures and crucial aspects to consider regarding microsurgery and supermicrosurgery training for residents. The description focuses on training methods, surgical skills, and training time and effort. The target audience of the training is residents who have never performed microsurgery. We believe that any person, regardless of operative experience, can acquire the technique for microsurgery and supermicrosurgery by performing 4 to 5 hours of training per day over a total of 30 days within this program setting. Considering individual differences in learning and experience, the training can be completed in a shorter period by performing additional daily training. It is relatively simple for a well-trained microsurgeon to master the uncommon supermicrosurgery techniques. We hope that this report will help as many residents as possible in learning the art of (super)microsurgery.

The Evaluation of Virtual Reality Neuroanatomical Training Utilizing Photorealistic 3D Models in Limited Body Donation Program Settings.

Background Neuroanatomy is one of the most complex areas of anatomy to teach to medical students. Traditional study methods such as atlases and textbooks are mandatory but require significant effort to conceptualize the three-dimensional (3D) aspects of the neuroanatomical regions of interest. Objectives To test the feasibility of human anatomy teaching medical students in a virtual reality (VR) immersive environment using photorealistic three-dimensional models (PR3DM)of human anatomy, in a limited anatomical body donation program. Methods We used surface scanning technology (photogrammetry) to create PR3DM of brain dissections. The 3Dmodels were uploaded to VRheadsets and used in immersive environment classes to teach second-year medical students. Twenty-eight medical students (mean age 20.11, SD 1.42), among which 19 females (n=28/67.9%)and nine males (n=28/32.1%), participated in the study. The students hadeither none or minimal experience with the use of VR devices. The duration of the study was three months.After completing the curriculum, a survey was done to examine the results. Results The average rating of the students for their overall experience with the method is 4.57/5 (SD=0.63). The "Possibility to study models from many points of view" and "Good Visualization of the models" were the most agreed upon advantages, with 24 students (n=28, 85.7%), and 95% confidence intervals (CI) [0.6643, 0.9532]. The limited availability of the VR headsets was the major disadvantage as perceived by the students, with 11 students (n=28, 39.3%), 95% CI [0.2213, 0.5927] having voted for the option. The majority of the students (25) (n=28, 89.2%, SD=0.31) agreed with the statement that the use of VR facilitated their neuroanatomy education. Conclusion This study shows the future potential of this model of training in limited cadaver dissection options to provide students with modern technological methods of training.Our first results indicate a prominent level of student satisfaction from VR training with minimum negative reactions to the nature of headsets. The proof of concept for the application of photorealistic models in VR neuroanatomy training combined with the initial results of appreciation among the students predisposes the application of the method on a larger scale, adding a nuance to the traditional anatomy training methods. The low number of headsets used in the study limits the generalization of the results but offers possibilities for future perspectives of research.

Determinants of Quit Attempts and Short-Term Abstinence among Smokeless Tobacco Users in India: Global Adult Tobacco Survey, 2016-17.

Smokeless tobacco is the preponderant form of tobacco in India. The cessation indicators are weaker for smokeless tobacco users than smokers. There is a dearth of literature on the effectiveness of the interventions that motivate and assist smokeless tobacco users in quitting in program settings. Data from Global Adult Tobacco Surveys (GATS), 2016-17, was analysed. Quit attempts in the previous 12 months among SLT users and duration of abstinence were the two outcome variables. The chief exposure variables were the receipts of various interventions that warned about the dangers of smokeless tobacco or encouraged quitting. Logistic regression analyses were employed to identify determinants of quit attempts. For the hazard of relapse to tobacco use, survival analysis was used. The odds of quit attempts among SLT users in the previous 12 months were more among those who received advice from healthcare providers (OR 2.09; 1.87-2.34), noticed messages from media that made them think about quitting (OR 1.67; 1.50-1.86) and noticed a warning label that made them think about quitting (OR 1.39; 1.25-1.55). Those who used counselling (HR 0.81; 0.70-0.93) or medication (HR 0.79; 0.66-0.95) sustained abstinence from smokeless tobacco for a longer duration compared to those who did not use any cessation method. Quit advice by healthcare providers is an influential determinant of a quit attempt, and this intervention needs to be scaled up. The media messages and warning labels were effective among those who considered quitting after noticing them. Cessation methods can help prolong the abstinence from smokeless tobacco, but the reach of cessation methods is limited.

Research and Practice on International Talent Cultivation Mode of Film and Television Photography and Production in Undergraduate Colleges and Universities

With the acceleration of globalization, the status and influence of the film and television industry in the international market are increasing. The close connection between the domestic and international film and television markets has prompted the need for universities to cultivate film and television photography and production professionals with an international outlook, innovative ability, and practical skills. However, domestic universities still face many challenges in international talent training. Therefore, it is particularly important to study and build an international talent cultivation model for film and television photography and production majors that is suitable for China's national conditions. The purpose of this paper is to explore how to improve the educational quality and international competitiveness of film and television photography and production majors in China's undergraduate colleges and universities by building an international talent cultivation model. The study will propose a set of scientific, reasonable, and operable international talent cultivation programs through the comparative analysis of the existing education modes of domestic and foreign colleges and universities and carry out practical tests. By studying and practicing the international talent cultivation model for film and television photography and production majors, it can effectively improve the education level of Chinese universities in this field, cultivate film and television talents with international vision and competitiveness, and contribute to the international development of the country's cultural industry.

The Labor Intellectuals

ABSTRACT: After visiting the United Auto Workers convention in Atlantic City in 1947, C. Wright Mills wrote that the most impressive thing about the union was "the spectacle it affords of ideas in live contact with power." While he considered union president Walter Reuther a dynamic leader, Mills was more impressed with the team of young men around him, the labor intellectuals who translated the radicalism and democratic enthusiasms of a boisterous rank and file into a set of concrete programs.

Creating intelligent cyberinfrastructure for democratizing AI

AbstractArtificial intelligence (AI) has the potential for vast societal and economic gain; yet applications are developed in a largely ad hoc manner, lacking coherent, standardized, modular, and reusable infrastructures. The NSF‐funded Intelligent CyberInfrastructure with Computational Learning in the Environment AI Institute (“ICICLE”) aims to fundamentally advance edge‐to‐center, AI‐as‐a‐Service, achieved through intelligent cyberinfrastructure (CI) that spans the edge‐cloud‐HPC computing continuum, plug‐and‐play next‐generation AI and intelligent CI services, and a commitment to design for broad accessibility and widespread benefit. This design is foundational to the institute's commitment to democratizing AI. The institute's CI activities are informed by three high‐impact domains: animal ecology, digital agriculture, and smart foodsheds. The institute's workforce development and broadening participation in computing efforts reinforce the institute's commitment to democratizing AI. ICICLE seeks to serve as the national nexus for AI and intelligent CI, and welcomes engagement across its wide set of programs.

Involvement of Working Parents in Students’ Academic Achievement: Basis of Support Programs

The study aimed to determine the level of involvement of working parents and the level of seriousness of the problems they encountered in modular distance learning. It sought to test whether there is a significant relationship between the academic achievement of the students and their parents’ level of involvement. This study utilized a descriptive-correlational research design with a questionnaire as a data-gathering tool. Results show that working parents are highly engaged in the new learning modality while their children manifested a satisfactory level of academic performance. The relationship between the overall level of parents’ involvement and level of academic achievement was found insignificant, but coaching and tutoring, and monitoring students’ compliance flagged a significant relationship with academic achievement. A set of programs was proposed to address problems experienced by parents such as poor internet connection, insufficient resources at home, unclear instructions in the self-learning modules, and distraction from gadgets.

Programming Operations Analysis and Statistics in One Selector and One Memory Ovonic Threshold Switching + Phase‐Change Memory Double‐Patterned Self‐Aligned Structure

This study explores the reliability of a phase‐change memory (PCM) cointegrated with an ovonic threshold switching (OTS) selector (one selector and one memory [1S1R] structure) based on an innovative double‐patterned self‐aligned architecture. The variability of the threshold voltage () for both the SET and RESET states is examined, comparing different distribution models to validate the use of mean and standard deviation as viable metrics. The dispersion of is tracked under different programming conditions to provide insight into the evolution of device behavior over SET/RESET, endurance cycles, and read cycles. The PCM device is based on a “wall” structure and on Ge2Sb2Te5 alloy, while the OTS is based on a GeSbSeN alloy. The analysis focuses on the programming characteristics and SET pulse optimization, studying current control and pulse fall times. The results are based on statistical data obtained from a kb‐sized memory array. A memory window of over 2 V is achieved. The research helps understanding the DPSA architecture, and PCM + OTS in general, offering insights into their programming, variability, and reliability targeting crossbar applications.

Hybridizing genetic algorithm and harmony search for higher-order mutation testing

Mutation testing can evaluate the quality of the test inputs, generate test data, and simulate any test coverage criterion. Genetic algorithms and harmony search have been applied to reduce the cost of generating test inputs. Although hybridizing search algorithms enhances the efficiency of searching the solution domain, there is a shortage of applying the hybrid search techniques in mutation testing. This paper merges the genetic and harmony search algorithms to effectively generate test data to kill higher-order mutants. In addition, the performance of the proposed technique will be evaluated and compared with a stand-alone genetic algorithm and a stand-alone harmony search algorithm through an empirical study using a set of benchmark programs. The experimental study shows that the proposed technique outperformed the compared algorithms, reaching a higher killing ratio, where the proposed approach kills 92.8% of higher-order mutants for all tested programs. In comparison, GA kills 88.7%, and HA kills 86.6%. Besides, the proposed algorithm overcame the compared algorithm in reaching a targeted killing ratio faster than the compared algorithms. HGA reduced the execution time for each program with a reduction ratio ranging from 58.9% to 89.8%.

Blended learning at scale: co-designing a large postgraduate finance course

PurposeThis paper aims to identify and evaluate resolutions to key learning and teaching challenges in very large courses that involve practical mathematics, such as foundational finance.Design/methodology/approachA design-based research approach is used across three semesters to iteratively identify practical problems within the course and then develop and evaluate resolutions to these problems. Data are collected from both students and teachers and analysed using a mixed-method approach.FindingsThe results indicate that key learning and teaching challenges in large foundational finance courses can be mitigated through appropriate consistency of learning materials; check-your-understanding interactive online content targeting foundational concepts in the early weeks; connection points between students and the coordinator to increase teacher presence; a sustained focus on supporting student achievement within assessments; and signposting relevance of content for the broader program and professional settings. Multiple design iterations using a co-design approach were beneficial to incrementally improve the course and consider multiple perspectives within the design process.Practical implicationsThis paper develops a set of design principles to provide guidance to other practitioners who seek to improve their own courses.Originality/valueThe use of design-based research and mixed-method approaches that consider both student and teacher perspectives to examine the design of very large, foundational finance courses is novel.

Research on the Development of Core Curriculum System of Civil Engineering Major under the Background of “The Belt and Road”

Based on the strategic background of “The Belt and Road”, this paper analyzes the docking relationship between vocational education and vocational training and the industrial and economic development of the countries along the “The Belt and Road”. Based on the concept of the integration of middle class and education in vocational education, the core curriculum system of civil engineering major suitable for China-Africa cooperation in running schools is designed in detail, which provides a basis for the setting of subsequent personnel training programs and curriculum standards, and strives to be practiced and applied in the promotion of the project.