bluuebunny/crossref_metadata_2025 huggingface dataset:
Comment replacer le citoyen dans la gouvernance des finances publiques ?
Authors: Bouvier Michel
Published: October 2022

La place du citoyen dans le processus de décision du système financier public est un sujet crucial. Il n’est pas nouveau, mais il se pose aujourd’hui, certes dans le cadre d’un environnement marqué par le Covid-19, mais plus encore dans celui d’une métamorphose de l’État. Celui-ci, tout au long de ces quarante dernières années, s’est transformé en profondeur sous les effets de crises économiques. Des crises qui ont donné lieu en France et ailleurs à des réformes du droit et de la gestion budgétaire lesquels ont modifié le rapport citoyen/gouvernance financière publique. Il n’en demeure pas moins que malgré les professions de foi, voire les législations allant dans le sens d’une démocratisation du dispositif, le rôle du citoyen dans le processus de décision budgétaire est marqué par une ambiguïté ; laquelle tient à ce que ce processus se trouve inadapté à la complexité des sociétés contemporaines. Par ailleurs, c’est le consentement à l’impôt autrement dit le cœur du modèle financier public, voire de la démocratie, qui est victime d’un délitement. En réponse, la légitimité du modèle fiscal doit être réhabilitée en donnant un sens à l’impôt correspondant aux attentes des citoyens.
Cinquante années de tentatives de gouvernance pour un développement plus durable
Authors: Laville Bettina
Published: October 2022

L’année 2022 marque en matière de développement durable un double anniversaire : celui de la conférence de Stockholm, en 1972, et celui, 20 ans plus tard de la Conférence de Rio : on aurait pu s’attendre à un grand rendez-vous onusien, comme la Conférence de Johannesburg, qui célébrait les 10 bougies de Rio, ou celle de « Rio+20 ». Mais la crise du multilatéralisme, les conséquences de la crise mondiale sanitaire, et bien sûr la guerre en Ukraine, ont eu raison de toute célébration. Seule la Suède avec ONU Environnement ont organisé deux jours de rencontres, en publiant le rapport « Stockholm+50 : Unlocking a Better Future », pour nourrir le prochain Sommet du futur de 2023. C’est l’occasion néanmoins de revenir sur les cinquante années de négociations internationales sans lesquelles le sujet n’aurait pas prospéré, mais dont les résultats ne sont pas à la hauteur des défis de plus en plus vertigineux.
Devenir un homme en noir, une vocation ? La formation progressive des jeunes arbitres de football au service de la professionnalisation de l’arbitrage français (de 1970 à nos jours)
Authors: Joly Alexandre , Perreau-Niel Alexandre
Published: October 2022

Si l’historiographie du football est aujourd’hui foisonnante, l’histoire des arbitres apparaît comme une thématique de recherche en récent développement, investissant l’évolution des structures, des carrières et des pratiques des hommes en noir. Ce travail de recherche se focalise sur la « juvénilisation » des arbitres de 1970 jusqu’à aujourd’hui, laquelle joue un rôle dans le processus plus large de professionnalisation de l’arbitrage français. Dès lors, si la moyenne d’âge des arbitres internationaux français est de 42 ans pour la saison 1966-1967, cette dernière est de 36 ans lors de la saison 2021-2022. Cela s’explique par une politique de rajeunissement de l’élite des arbitres mise en place par les instances françaises de l’arbitrage durant cette période, notamment à travers la création du statut de « Jeune Arbitre Fédéral » dès 1980. Dans la dynamique de cette politique de formation de jeunes au sifflet, les instances de l’arbitrage s’appuient aussi sur le monde scolaire, envisagé comme un vivier pertinent pour recruter et former de nouveaux arbitres. Le développement des sections sportives à filière arbitrage dès 2006 vient concrétiser cette collaboration entre la Fédération Française de Football et l’Éducation nationale, pour un arbitrage tendant vers le professionnalisme.
Le rapport au corps des joueurs de rugby fauteuil
Authors: Cerqueus Marine , Vallet Cécile , Sallem Ryadh , Foucaut Aude-Marie
Published: October 2022

Objectif : La relative brutalité du rugby fauteuil contraste avec la fragilité qui pourrait être perçue chez des personnes en situation de handicap. Le corps, soumis à des limitations fonctionnelles au quotidien, se trouve en action. Le but de ce travail est alors d’explorer ce que modifie le rugby fauteuil sur le rapport au corps des joueurs. Méthodes : Cette étude exploratoire est basée sur des observations structurées, des entretiens semi-directifs, et l’autoquestionnaire de l’inventaire du soi physique. La population d’étude est composée de joueurs de rugby fauteuil de tout niveau. Une analyse thématique, croisée avec les autres données, est présentée. Résultats : Cinq joueurs défenseurs ont été volontaires. La sensation d’avoir acquis de la force, la représentation d’un corps puissant et la mise en mouvement propre au rugby fauteuil semblent influencer positivement le rapport au corps des joueurs interrogés. Ce bénéfice serait constaté dans la pratique sportive et dans le quotidien. La manière dont ces cinq joueurs investissent leur corps, notamment dans le soin préventif, paraît être influencée par cette pratique. L’estime de soi dans le domaine corporel semble positive, notamment par l’acquisition de nouvelles compétences. Cette étude décrit les bénéfices du rugby fauteuil sur le rapport au corps qui s’avère être influencé par plusieurs facteurs.
Electromagnetic radiation and electrical stimulation controls of absence seizures in a coupled reduced corticothalamic model
Authors: Tan Xiaolong , Zhang Hudong , Xie Yan , Chai Yuan
Published: October 2022

The important role of basal ganglia in corticothalamic loops has received widespread attention. However, its connection between coupled reduced corticothalamic networks is rarely researched, particularly the regulatory mechanism about electromagnetic radiation and electrical stimulation has not been comprehensively investigated. In this paper, we establish a model simplified the basal-ganglia as a connector connecting two corticothalamic loops. Four kinds of treatment methods are applied to the coupled reduced corticothalamic model, for instance deep brain stimulation (DBS), 1:0 coordinate reset stimulation (CRS) and 3:2 CRS to stimulate thalamic reticular nucleus (TRN) and electromagnetic radiation to stimulate the pyramidal neuronal population (PY). One of the important results is that the epileptic area can be significantly reduced in varying degrees by changing the strength of the basal-ganglia connector. Another one is that electromagnetic radiation, DBS and CRS have preferable inhibitory effects on absence seizure. The results show that DBS has a more significant inhibitory effect than 1:0 CRS and 3:2 CRS. The results might contribute to understanding the role of basal ganglia in coupled model and providing a reference for inhibiting epileptic seizures.
Stationary distribution of a stochastic two-species Schoener's competitive system with regime switching
Authors: Qiu Hong , Liu Yunzhe , Huo Yanzhang , Hou Rumei , Zheng Wenhua
Published: October 2022

This paper studies a stochastic two-species Schoener's competitive model with regime switching. We first investigate the sufficient conditions for the existence of a unique stationary distribution of the model. Then we prove that the convergence of transition probability to the stationary distribution is exponentially under some mild assumptions. Moreover, we also introduce several numerical simulations to validate the model against the biological significance.
Revisiting the three topoi in Dissertationes 3.2
Authors: Sellars John
Published: October 2022

I re-examine the three topoi or areas of study outlined in
Epictetus, Dissertationes 3.2 and the claim that they
align with the traditional three parts of Stoic philosophy. I argue
that they do not correspond to the three parts, but instead map out a
series of stages in philosophical training. I then compare these three
topoi with another set
outlined in Enchiridion 52. I argue that these are
distinct from the set outlined in Dissertationes 3.2 and that this second set
does not map on to the three parts of Stoic philosophy either. I
conclude by suggesting that the three topoi in the Dissertationes are not as central to the
philosophy of Epictetus as some commentators have supposed.
Sur la philosophie comme askêsis (Entretiens, III, 2 et 12) : Épictète et la tradition stoïcienne
Authors: Gourinat Jean-Baptiste
Published: October 2022

L’entretien III, 12 d’Épictète intitulé « Sur l’ascèse » s’inscrit dans une tradition de traités stoïciens du même titre, dont la leçon VI de son maître, Musonius Rufus. Cette tradition est celle qui identifie la philosophie à un « exercice », distinct de la sagesse que ces exercices s’efforcent d’atteindre par la mise en pratique des dogmes et l’exercice de la vertu. Épictète introduit dans ce cadre ses fameux trois topoi (désir, impulsion, assentiment) en cherchant à limiter le rôle de l’exercice de l’assentiment réduit à l’exercice technique de la logique. Il cherche aussi à limiter le rôle de l’ascèse ostentatoire du corps, contre certaines dérives de l’ascèse cynique, qui était intégrée de manière modérée mais non critique par Musonius. Même si les trois topoi sont propres à Épictète, il est possible d’en trouver des anticipations partielles dans la tradition stoïcienne de la langue latine, rapportées par Cicéron ou défendues par Sénèque. L’ascèse chez Épictète est originale mais s’inscrit dans cette tradition et dans celle de l’enseignement de Musonius.
Musonius dans le livre III des Entretiens d’Épictète
Authors: Laurand Valéry
Published: October 2022

Cet article cherche à esquisser le portrait de
Musonius à travers les citations qu’en fait Épictète au livre III des
Entretiens, tout en
s’interrogeant sur les possibles ruptures et continuités de
l’enseignement du maître chez le disciple, au sein de ce même livre,
qui offre des réflexions d’Épictète sur deux notions-clés chez
Musonius : le pothos,
désir nostalgique de l’objet absent, et le mariage. Si Épictète
témoigne d’un profond respect pour l’enseignement du maître, dont il
distingue les enjeux éthiques et thérapeutiques, il apparaît qu’il ne
l’a pas suivi dans sa valorisation de la vie conjugale.
Le masque de Socrate dans le théâtre du monde d’Épictète-Arrien
Authors: Fuentes González Pedro Pablo
Published: October 2022

Arrien est le premier et ultime responsable des Entretiens d’Épictète en tant qu’œuvre littéraire. Il y adopte la stratégie du disciple qui se rend invisible pour mieux assurer l’efficacité des discours de son maître. Dans le monde des Entretiens qu’il décrit sous une atmosphère théâtrale, il présente le philosophe à l’aide de la figure de Socrate surtout, à qui il réserve le rôle du réfutateur. Socrate est ainsi le paradigme illustrant comment mettre en place le principe fondamental qui consiste à s’occuper de soi-même. Ce paradigme est destiné notamment à aider les hommes plus ou moins bien disposés à l’égard de la philosophie à discerner ce qui dépend vraiment de nous. Dans la configuration de ce Socrate, la tradition cynique, en particulier celle d’Antisthène, ne doit pas être négligée. Par ailleurs, Arrien fait intervenir en particulier la figure de Diogène le Cynique pour le rôle du philosophe royal qui doit réprimander ceux qui se trouvent éloignés de la philosophie. Le rôle du Cynique est notamment de les pousser à faire face à des ennemis qui les effrayent et qui les tyrannisent, alors qu’ils ne sont que des « épouvantails ». Le philosophe doctrinaire, représenté par Zénon, n’entre pas dans le cadre des Entretiens (mobiliser les gens vers la philosophie et non transmettre des doctrines), pas plus que celui qui ne s’occupe que de la beauté des discours et des applaudissements du public. L’ethos philosophique d’Arrien ne peut pas être restreint aux Entretiens, même si c’est dans cet ouvrage de jeunesse que l’auteur a exercé le plus amplement sa mission philosophique, en adoptant le masque du disciple et en se servant du masque de son propre maître Épictète, et de façon complémentaire de ceux de Socrate et de Diogène.
Génies, êtes-vous là ? Consultant, implique-toi ! Devineresse, sois perspicace !
Authors: Van Deputte Camille
Published: October 2022

Pour la devineresse, la divination est un « travail » (faliwi) nécessaire pour contenter les génies — et ainsi maintenir un équilibre dans sa vie personnelle —, mais aussi un moyen d’aider autrui. Elle ne peut être réduite à une technique de communication spécifique impliquant des entités invisibles. Ce qui se produit au cours des séances est plus complexe. Devineresse, consultant et génies contribuent ensemble à l’élaboration de ce propos intelligible et efficace qu’est le diagnostic divinatoire. Leur participation active et leur adhésion ne sont jamais acquises : les génies jouent-ils toujours leur rôle ? Le consultant parvient-il à s’impliquer correctement ? La devineresse réussit-elle à dépasser ses doutes ? La description d’une séance de divination va permettre la mise en avant des paroles, des gestes et du cadre matériel sur lesquels repose cette pragmatique divinatoire particulière.
Meaningful Lighting Installations
Authors: Dugar Amardeep M.
Published: October 2022

This study aims to culture (i.e., to cultivate and propagate) well-being via lighting installations that employ slow design, which promotes well-being by encouraging actions at the right time and right speed, helping users understand and reflect on their actions. The study involves three key ideas: first, establish the critical role of slow design in culturing well-being by deriving a framework for designing meaningful lighting installations; second, connect this framework to the physical characteristics of lighting installations by examining how meaningful interactions with these characteristics culture well-being; third, investigate how lighting installations culture well-being via the application of this framework. Lighting installations designed as part of the International Association of Lighting Designers' Light Workshops Series are qualitatively examined as case studies. The findings indicate that slow design indeed has the potential to culture well-being by strengthening the psychological attachment with lighting installations when applied with consideration.
Cave Tourism in the Abode of Clouds, Meghalaya
Authors: Suiam Sawarisa , Saha Saibal Kumar
Published: October 2022

This article outlines the cave tourism resources available in Meghalaya, India. It highlights the potential for development and presents a way forward towards tourism development. The research is empirical in nature. Researchers visited the caves and explored tourism opportunities by discussion with the natives and other stakeholders. Cave tourism is a niche segment in Meghalaya. Only a few caves have been explored. Illegal mining is destroying the caves. Cave tourism in Meghalaya is a prospect for enhancing the economy of natives. Branding and promotion of these natural resources can attract tourists from the nation and abroad.
A New Resource Recovery Process for Refining Sludge Generated by a Paper Manufacturing Company
Authors: Chen Chiwei , Chen Jenn-Shing
Published: October 2022

A new sludge processing method was developed by the Beta Company, a paper manufacturing company. The new method will shorten the time for transforming sludge into organic fertilizers, which will improve the process of handling the waste generated by a paper manufacturing company. The paper industry is facing the most rigorous regulations for processing wastewater and sludge to date in the history of many industrialized and developing countries. The Beta Company attempted to improve the conventional method implemented in-company for handling sludge generated during the paper manufacturing process, instead of shipping sludge out-of- company for processing by a third party. The current experimental results show positive improvement, indicating the Beta Company is moving one step closer toward environmental sustainability commitments.
An FPGA-Based Design of a Fault-Tolerant Shared Memory Structure
Authors: Dey Sowvik , Mahata Mihir Kumar , Karmakar Amiya
Published: October 2022

In this current era of smart computation, faster processing speed is needed. Execution of a process in a parallel manner can achieve higher throughput. For avoiding the Von-Neumann bottle-neck phenomena, the speed of the memories should be high. A high-speed memory can provide contiguous data to a high-speed processor that retains the high performance of that processor. Various high-speed memory technologies are existing in the market such as interleaved memory, cache memory, etc. Multiprocessing technology is also used to achieve high-performance computation. It is still challenging to make a high-speed memory device that can provide data to a multiprocessing system in a contiguous way. Shared memory can fulfill all of the requirements of a multiprocessing system. The efficiency of shared memory can be enhanced by introducing the fault-tolerant mechanism in it without affecting the inter-process communication, which will be discussed in this paper.
Anticipating and Repairing Link Failures in AODV Protocol
Authors: Sabilallah Nour-El-Houda , Hacene Sofiane Boukli
Published: October 2022

Mobile ad hoc networks are wireless networks with particular characteristics: they are infrastructure-free, self-organizing, and self-configuring. MANETs represent an active research area with different problems. Several routing protocols are available to ensure data flow in MANETs. Due to the nature of MANETs, providing quality of service is a challenging issue that is often ignored in existing routing protocols. In general, on-demand routing protocols are characterized by higher latency and lower overhead. However, in this paper, the authors propose a new extension to the AODV routing protocol called AR-AODV. This approach provides QOS support in terms of packet loss, routing overhead, end-to-end delay, and packet delivery ratio. The proposed method aims to anticipate link failures by estimating when a link is likely to break, using Lagrange interpolation. Then the route is repaired a few seconds prior to the failure. The effects of mobility, congestion, and traffic load are explored and analyzed, and the results obtained confirm that the proposed AR-AODV protocol outperforms the basic AODV.
COVID-19 Pandemic
Authors: Al-Dashti Fatimah , Alkandari Anwaar Mohammad , AlMutairi Shihanah , Al-Saber Ahmed
Published: October 2022

The COVID-19 pandemic has been affecting world economies, business revenues, and the livelihood of many individuals, and has also resulted in accumulated medical waste. Countries, governments, and health workers are striving to contain this virus by applying different strategies and protocols. This research investigates and identifies the significant determinants that influence the acceptance and Adoption of non-hazardous medical waste recycling behaviour in Kuwait. This article questions whether healthcare workers in Kuwait are actually behaving differently regarding non-hazardous medical waste recycling during the pandemic as opposed to previously. The study uses a deductive research approach involving a quantitative methodology by applying the theory of planned behaviour as a framework. From an overall perspective, individuals have positive intentions and behaviours toward recycling. However, COVID-19 and the fear of spreading the virus had a positive impact on the healthcare workers' recycling behaviour in public hospitals in Kuwait.
Design and Optimization of Fuzzy-Based FIR Filters for Noise Reduction in ECG Signals Using Neural Network
Authors: Tallapragada V. V. Satyanarayana , D. Venkat Reddy , K. N. V. Suresh Varma , D. V. N. Bharathi
Published: October 2022

Cardiovascular disease (CVD) has been identified as a threat to human life for decades, with the majority of individuals dying as a result of delayed diagnosis and treatment. An electrocardiogram (ECG) plays a vital role in the prognosis of such an ailment. The presence of noise and artifacts complicates the accurate detection and identification of CVD. As a result, reliable signal recovery tasks necessitate noise removal, which is an inverse problem. The main noises present in electrocardiogram (ECG) signals are EMG noise, electrode motion artifact noise. In this paper, radial basis function (RBF) and multi swarm optimization neural network (MSONN) are used to denoise the ECG signal. The cut-off frequency is calculated using a low-pass filter. By using, fuzzy FIR filtering technique baseline wander noises can be removed. Results show that MOS based approach outperforms existing approaches in terms of accuracy and is observed to be 87% even when the dataset size is small. Further, noises if any exists are also removed by the use of cascaded multiplier less Fuzzy FIR filters
Cloud Service Provider Selection Using Fuzzy Data Envelopment Analysis Based on SMI Attributes
Authors: Thaha Thasni , Kalaiarasan C.  , Venkatesh K. A.
Published: October 2022

A variety of business firms are moving towards the cloud after realizing the benefits and success of using cloud technology. With multiple cloud service providers having different features, selecting the best or ranking them becomes a tedious task. There are several multi-criteria decision-making models (MCDM) trying to handle the selection of the best cloud service provider problem. A significant amount of research focused on MCDM models using quality of service (QoS) characteristics, but not much research has been conducted to address the fuzziness inherent in data. Therefore, a suitable model for choosing suitable cloud service providers is proposed in this work to address this data fuzziness. The SMI attributes recommended by CSMIC, approved by ISO, are considered as the evaluation criteria for the evaluation of cloud service providers. In this research work, fuzzy DEA is used to compute the efficiency values of cloud service providers and modified Chen and Klein method is used to arrive at the final ranking of cloud service providers(CSPs).
Mobile Learning Strategy Based on Principal Component Analysis
Authors: Kou Qiongjie , Zhang Quanyou , Xu Laiqun , Li Yaohui , Feng Yong , Wei Huiting
Published: October 2022

Mobile learning is a kind of learning mode by using mobile devices, and it is an indispensable way of learning strategy in colleges and universities. The authors conducted the interviews and questionnaires about the teaching situation, learning strategies, using of network resources, and so on. Next, the authors checked and verified carefully the feedback data from classroom teaching. In the process of investigation, the students were divided into two groups. The authors analyzed the mean and standard deviation of the two groups of data tables. According to the data reliability analysis, exploratory factor analysis, significance analysis, the authors propose the teaching mode of “one heart, two sides and six links(OHTSSL)” based on mobile learning strategy. In order to construct new cognitive content and train students' innovation ability, teacher and students must implement the mobile learning strategy in classroom teaching. Teacher and students execute teaching process of six links based on OHTSSL teaching mode.
A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery
Authors: Abdelkrim Ali , Bouramoul Abdelkrim , Zenbout Imene
Published: October 2022

Drug development is the hardest phase for the pharmaceutical industry because it is extremely costly and time consuming. Though, due to the growing demand to produce safe and innovative medicines faster and more cost-effectively, the scientific community changed its objective into enhancing the lead identification and the lead optimization at the early discovery phase. This could be achieved using recent intelligent technologies that allow virtual screening as well as quantitative structure-activity relationship (QSAR) modeling to define the possible relationships between chemical compounds and biological activities. Among recent technologies, artificial intelligence (AI) has been introduced as a powerful solution to address problems related to drug discovery and development. In particular, machine learning (ML) has been meaningfully instrumental in the production of new drug candidates. In this work, we review the fundamental principles of machine learning algorithms, study and discuss their application and current issues in drug development.
Self-Adaptation Through Reinforcement Learning Using a Feature Model
Authors: Ouareth Selma , Boulehouache Soufiane , Smaine Mazouzi
Published: October 2022

Typically, self-adaptation is achieved by implementing the MAPE-K Control Loop. The researchers agree that multiple control loops should be assigned if the system is complex and large-scale. The hierarchical control has proven to be a good compromise to achieve SAS goals, as there is always some degree of decentralization but it also retains a degree of centralization. The decentralized entities must be coordinated to ensure the consistency of adaptation processes. The high cost of data transfer between coordinating entities may be an obstacle to achieving system scalability. To resolve this problem, coordination should only define between entities that require communication between them. However, most of the current SAS relies on static MAPE-K. In this article, authors present a new method that allows changing the structure and behavior of loops. Authors base on exploration strategies for online reinforcement learning, using the feature model to define the adaptation space.
Measuring the Sustainability Performance of the Public Transport System
Authors: Al-Dalain Reema , Alnsour Moawiah
Published: October 2022

The public transport system is essential for any community to develop socio-economic growth. Performance indicators are the indication tools that determine where the defects are. As a result, the greater Amman municipality GAM has addressed this issue by launching a new transport system called the “Amman Bus Rapid Transit” BRT system that serves the public. Therefore, this paper investigates the sustainability performance indicators with respect to the economic, environmental, and social dimensions that measure the Amman BRT system. The literature review was the first tool used to generate indicators followed by commencing semi-structured interviews with five experts in the field. The findings indicated that there are 13 indicators that can be used to measure the sustainability performance of the Amman BRT system. Moreover, the results showed that the overall indicators are significant, but the most important one is affordability within the economic dimension. The current study recommended extending the methodology to use different multi-criteria decision-making techniques.
Grasping Cybersecurity Leadership as It Relates to Critical Infrastructure Protection
Authors: Brown-Jackson Kim L.
Published: October 2022

Leadership growth is a contemporaneous approach to learning. Developing healthcare leadership and decision-making concerning protecting U.S. critical infrastructure from a framework of sound cybersecurity protection approaches in the age of COVID-19 is the latest development for cybersecurity healthcare leaders. Examined is the creation of this framework from the leadership viewpoint to investigate arguments, practices, and how this information explains the assembly and effects of cybersecurity consciousness, skill, experience, behaviors, aims, agreement, and knowledge absorption. This examination concentrates on the development of the framework and focus group results as this framework is reasoned the suitable tool to expose how diverse backgrounds can be realized to blend new knowledge, the age of COVID-19, U.S. critical infrastructure, protection, variation, and diversity into enhanced knowledge, skill, and abilities. This data adds to the body of knowledge regarding cybersecurity leadership knowledge development for academics, practitioners, and learners.
A Support System for Collecting/Selecting Topics in Chat Using Context/Physiological Information
Authors: Yamamoto Keiko , Furuta Shunya , Tsujino Yoshihiro
Published: October 2022

People who are not engaging conversationalists often experience awkward silences in their conversations. The reason is that they have no topic that they deem sufficiently interesting at that moment to talk about; consequently, they cannot keep their conversation going. To solve this problem, this paper proposes a system that helps people create their own diary, select a topic from it, and converse smoothly on that topic. The results of comparative experiments conducted indicate that the proposed system enables users to write more topics than a simple diary system by presenting activity information when they go out. Furthermore, the diary created using the proposed system enables them to converse about the contents for a longer time with ease. In addition, by presenting candidate topics, the users could recollect topics faster and felt that the topics could be changed smoothly into next ones when talking for a long time.
E-Monitoring System
Authors: Bharathiveena V.  , Pillai Janardhanan
Published: October 2022

The purpose of this study is to examine the benefits and effects of electronic monitoring system and measures the performance of employees and satisfaction of customers. The following topics are essential to the study: the benefits and effects of e-monitoring to the customers and employees are self-control, self-realization, job stability, confidence, enhanced productivity, lazy employee removal, increased creativity, and negativism elimination. The recommended task is broken into two stages: The first step is to collect the data using the prepared questionnaire from the customers and employees of Kerala banks. 125 data were collected using the prepared questionnaire from the employees and customers of Kerala banking service and the format of the questionnaire is based on the proposed hypothesis. In the second step, ANOVA and SEM are used to evaluate the collected data.
A Systematic Literature Review on Test Case Prioritization Techniques
Authors: Singh Harendra , Singh Laxman , Tiwari Shailesh
Published: October 2022

Regression testing (RT) provides confidence for any software to work properly after incorporating modifications in the software functionalities. The amendments in the software are visible due to the evolution or the adoption of the new functionalities in the software. New test cases might be added or removed from the test suit during the RT. TCP seeks to provide an execution order of test cases when test cases are large in number for the detection of faults at an early stage. This paper provides classification of available TCP techniques that are examined based on the six research questions having higher relevance regarding the TCP. To carry out a systematic literature review (SLR) on TCP techniques, the authors extracted a large number of papers from appropriate repositories of journals, conferences, workshops, and symposiums using various search keywords. Each TCP approach has its own limitations, potential value, and advantages, which are covered in this SLR in considerable detail.
Regression Approach for GDP Prediction Using Multiple Features From Macro-Economic Data
Authors: Gladston Angelin , Sharmaa I. Arjun , Bagirathan S. S. K. G.
Published: October 2022

Gross domestic product is the main measure used predominantly for assessing the wealth and growth of a country. Previous works used the amount of CO2 emitted by a country in predicting the gross domestic product growth of that quarter. Though it is a valid indicator, there are many other features that can be considered while calculating the gross domestic product of a country. In this paper, an approach to predict gross domestic product utilizing many features is introduced. Macroeconomic data like unemployment rate, gold rate, foreign exchange rate, and other important data to plot the graph are used for linear regression, employing dimensionality reduction to analyze and extract only the important features and thereby increasing the effectiveness of the proposed GDP prediction. Since data has been published in different time intervals, preprocessing like interpolation, reshaping, and dimensionality reduction using PCA are carried out to make the proposed GDP prediction model more precise and accurate, and the maximum accuracy of 95% is obtained.
Analysis of Protein Structure for Drug Repurposing Using Computational Intelligence and ML Algorithm
Authors: Srivastava Deepak , Chui Kwok Tai , Arya Varsha , Peñalvo Francisco José García , Kumar Pramod , Singh Anuj Kumar
Published: October 2022

Proteins are fundamental compounds in biological processes during the analysis of drug target indication for drug repurposing. The identification of relevant features is a necessary step in determining protein structure. A classification technique is used to identify the most important features in a dataset, which is why feature selection is so important. For protein structure prediction, recent research has developed a wide range of new methods to improve accuracy. The authors use principal component analysis (PCA) with correlation-matrix-based feature selection to analyse breast cancer data. In this paper, they discussed a therapeutic agent that is used to reduce the dataset by reduction-based algorithm and after that applied reduced dataset labelled as Standard Gold Dataset on machine learning model to analyze drug target indication. They get the higher accuracy of 92.8%, 93.9%, and 95.3%, each of the three datasets with 200, 500, and 1000 features with SVM with RBF kernel function. Also they found the best result, 97.8%, with the same classifier.
Exploring College Students' Deeper Learning Perceptions in the Blended Learning Environment
Authors: Shen Dan-Dan , Chang Chiung-Sui
Published: October 2022

With the rapid development of information communication technology (ICT) in teaching, deeper learning has become an essential competency for success in the 21st-century classroom. College students' deeper learning assessments can indicate the degree of technology-enhanced learning effectiveness and inform further instructional design optimization. However, comprehensive measures for assessing college students' deeper learning and the impact of background variables on deeper learning in the low-, medium-, and high-blend learning environments are scarcely mentioned in the literature. This paper proposes a deeper learning self-assessment scale (DLSS) comprising higher-order cognitive, interactive, and reflective learning dimensions, validated through exploratory and confirmatory factor analyses. This paper also examines deeper learning perceptions in three types of blended learning environments with various proportions of online and face-to-face learning and explores perception differences among the students of different genders, school years, and fields of study. Findings indicated positive deeper learning perceptions were higher in the medium-blend courses.
One Team, One Heartbeat for One Goal
Authors: Unknown Author
Published: October 2022

No abstract available.
A thriving health system with an evidence-based culture: The potential catalytic role of Sri Lanka Journal of Health Research (SLJHR)
Authors: De Alwis Sunil , Samaraweera Sudath , Ferdinando Ruwan
Published: October 2022

Over the last few decades, there have been very few low- or middle-income countries in the world that have simultaneously achieved strong health outcomes, good financial protection by low cost and Sri Lanka stands tall amongst them. Moreover, the Sri Lankan health system was well in line with achieving the Sustainable Development Goals prior to the COVID-19 pandemic. At a time of combating the COVID-19 crisis on many fronts, the country often witnessed a concerted effort from the health sector to maintain its current achievements while improving the quality of the existing health services. The launching of the Sri Lanka Journal of Health Research is one such endeavor.
Patient-centred interviewing in Outpatient Departments: A doctor-client perspective
Authors: Sandanayake A.P. , Hewageegana N.S. Rajapaksa
Published: October 2022

Background: The medical interview is the most common undertaking by a physician. On average, a doctor performs over 200,000 interviews during his career. The traditional medical interview was centred on the clinician. In the late 1970s, the bio-psychosocial model was first introduced by Engel and followed by McWhinneys’ as patient-centred approaches which were swiftly adopted into practice by clinicians. However, in Sri Lanka, no clear evidence could be found to suggest that patient-centredness in the medical interview was given much emphasis in the past. Research evidence available from the local setting on this field is limited. Against this backdrop, it is imperative to assess the perceptions of patient-centred interviewing among the doctors as well as patients.Objective: To assess the doctor and patient perceptions on patient-centred interviewing in Outpatient Departments (OPD) consultations.Methods: A descriptive cross-sectional study was conducted in OPDs of government hospitals in the Colombo Regional Director of Health Services division. All doctors and a sample of patients over the age of 18 years were included. Data collection was done through a self-administered questionnaire and focus group discussions. Data analysis was done by using MS Excel and framework thematic analysis.Results: Both doctors and patients perceived the short consultation time as a leading challenge to have patient-centred interviews in OPDs. In addition, interviewers being disrespectful to patients, providing inadequate information, not getting the involvement of the patient in decision making, and having poor listening skills were negatively perceived by the patients. Overcrowding, heavy workload, stressful work conditions, lack of privacy, and low priority given by the hospital management to OPD functions were perceived by the doctors as barriers to improve the patient-centred interviews. Even though the majority of the doctors have already undergone communication skills training, their willingness to learn and improve these skills was noted.Conclusions and Recommendations: As perceived by the partakers, the patient-centred interviewing in the OPDs has multiple challenges. Placing more emphasis on organizing communication skills training, ensuring longer consultations, providing a more responsive working environment for the doctors, ensuring privacy and confidentiality of transpired information, reformulating OPD functions are recommended.
Challenges related to information handling during the COVID-19 pandemic: Experience of a secondary care hospital in Sri Lanka
Authors: Hettiarachchi Janitha , Jayarathne M.B.R.M.C.L. , Katuwawala N.D. , Wijayarathne A.K.J.M. , Dassanayake N.M. , Premasiri W.D.R. , Fernando S.K.P.A. , Premathilaka U.N. , Liyanage A.L.A.U. , Wijesinghe Akila
Published: October 2022

Information management is among the top priorities during the COVID-19 pandemic, as it is a key element in decision-making. This brief report describes the following challenges faced in information handling during the COVID-19 pandemic and the outcome of solutions introduced as a response: telemedicine, disease notification, record keeping, real-time hospital dashboards, recording/reporting hierarchies and clinic drug distribution.
Lupus anticoagulant in an elderly woman with dementia: a clinical case report with many questions and few answers
Authors: Turrin Mauro , Attanasio Alessandro , Castellaro Ivano
Published: October 2022

We describe the clinical case of an elderly woman with dementia, suffering from bilateral soleal venous thrombosis, despite antithrombotic prophylaxis, after orthopedic surgery. An isolated anti-cardiolipin antibodies positivity, however pre-existing for at least seven years, was found in a patient with previous cerebral ischemia and treated intermittently with aspirin. During the coronavirus disease 2019 (COVID-19) pandemic lockdown, to promote patient compliance, we practiced anticoagulant therapy with edoxaban: resolution of venous thrombosis was achieved. Longlasting medical treatment is discussed.
Correlation of the Changing Trends of ScvO2, Serum Lactate, Standard Base Excess and Anion Gap in Patients with Severe Sepsis and sEptic Shock Managed by Early Goal Directed Therapy (EGDT)
Authors: Sneha Kumari , Mhaske Vanita Ramesh , Saha Kalyan Kumar , Gupta Bikram Kumar , Singh Dinesh Kumar
Published: October 2022

Background:

To observe the correlation of central venous oxygen saturation (ScvO2), serum lactate, standard base excess (SBE), and anion gap (AG) in septic and septic shock patients resuscitated with early goal-directed therapy (EGDT).

Materials and Methods:

A review was made of 130 severe septic shock patients (15–65 years) according to the consensus conference criteria admitted in intensive care unit. Blood samples were obtained from arterial and central venous line for ScvO2, serum lactate, SBE, and AG on admission and after achieving all aims of EGDT i.e.; mean arterial pressure >65 mmHg, central venous pressure = 8–12 mmHg, ScvO2 >70%, and urine output >0.5 mL.kg−1.h−1, and on 12 and 24 h. The statistical analysis was done using SPSS for windows version 16 software. For comparison, Pearson test was used. A P < 0.05 was considered as statistically significant.

Results:

There were a positive correlation between ScvO2 and SBE, a negative correlation between ScvO2 and AG, a negative correlation between ScvO2 and lactate, a negative correlation between SBE and AG, a negative correlation between AG and lactate, and a negative correlation between SBE and lactate. The ScvO2 was initially low but was in an improving trend after a resuscitative period, SBE was initially low and correction of SBE was linear. AG was high in the beginning and goes on decreasing after resuscitation. Lactate level was also high initially and in decreasing trend after a resuscitative period.

Conclusions:

ScvO2 and SBE are correlated and can be used as a surrogate marker. ScvO2 and AG are related but not absolutely codependent. ScvO2 and lactate are correlated but they are not absolutely codependent. SBE and AG are correlated and can be used as a surrogate marker. AG and lactate are not related to each other. Hence, AG cannot be considered as a surrogate for lactate testing. SBE and lactate are related and can be used as a surrogate marker.
A study on the impact of employee involvement towards psychological contract fulfilment in a public TVET college
Authors: Wiseman Mbongiseni Khanyeza , Ankit Katrodia
Published: October 2022

Purpose – Psychological contracts are of paramount importance in organisa-tions as they determine if the objectives of the organisation will be met successfully. They determine if the culture within the organisation will be conducive for the attainment of the predetermined goals. This study scruti-nised the significance of making employees feel involved in every decision and action taken that involved their jobs, if it had any effect in the fulfilment of those psychological contracts. Aim – The main objective of the study is to investigate the influence em-ployee involvement has on the fulfilment of the psychological contracts within the public TVET college. Design/methodology/approach – An online questionnaire was adminis-tered to a sample of 113 Mnambithi TVET college employees at Ladysmith campus, as well as the central administration office. Findings - The sample was chosen using a stratified sampling method. 92 questionnaires were returned with responses. For the analyses and inter-pretation descriptive analysis, mean standard deviation and corelation have been used. In computing the results to test the relationship between in-volvement and psychological contract fulfilment, a correlation coefficient was used as a measure. Limitation of the study – The limitations of this research project were that it was only conducted in one college in KZN and due to logistical hindrances, only one campus and a central administration office were used in selecting the sample. As a critical point of discussion, the effect employee involve-ment has on psychological contracts fulfilment could be tested throughout all colleges in the province or even in the country. Future Research- Further research on the following can be suggested as further limitations of this research output.If employee involvement has a causal effect on psychological contract fulfilment. The degree of involve-ment in different ranks in the institution (for example, between managers and subordinates). How psychological contracts fulfilment affects turnover rate in the TVET sector. Originality/value – The results of the data analysis showed that there is a significant relationship between the two constructs.
A characterization of finite \'etale morphisms in tensor triangular geometry
Authors: Sanders Beren
Published: October 2022

We provide a characterization of finite \'etale morphisms in tensor triangular geometry. They are precisely those functors which have a conservative right adjoint, satisfy Grothendieck--Neeman duality, and for which the relative dualizing object is trivial (via a canonically-defined map).

Comment: 25 pages. Proposition 3.8 revised; added Remark 3.11--Example 3.12, Remark 4.10--Remark 4.25, and Corollary 5.13
Kết quả chẩn đoán viêm âm đạo bằng máy GMD-S600
Authors: Phạm Huy Hiền Hào , Đào Thị Hoa , Nguyễn Vũ Thủy , Nguyễn Ngọc Phương , Lê Xuân Trọng , Nguyễn Thúy Diệu , Nguyễn Quang Minh
Published: October 2022

Đặt vấn đề: Máy phân tích nhiễm khuẩn âm đạo GMD-S600 được sản xuất bởi công ty Diriu Industrial Co., Ltd, sử dụng công nghệ chụp ảnh dòng chảy tế bào và phân tích hóa học men áp dụng nguyên tắc so màu quang điện, công nghệ nhận dạng thông minh và thuật toán tự động phân tích dựa trên trí tuệ nhân tạo.

Mục tiêu: Nhận xét kết quả chẩn đoán viêm âm đạo bằng máy GMD-S600.

Đối tượng và phương pháp nghiên cứu: mô tả tiến cứu trên 300 bệnh nhân đến khám có triệu chứng ngứa rát âm hộ, âm đạo hoặc ra khí hư bất thường, được xét nghiệm khí hư bằng máy GMD-S600 trong thời gian từ tháng 8/2019 đến tháng 12/2019 tại Bệnh viện Phụ sản Trung ương.

Kết quả: Viêm âm đạo do vi khuẩn ưa khí (AV - aerobic vaginitis): 60,33% với AV đơn thuần: 39,67% và AV phối hợp: 20,66%. Tỷ lệ viêm âm đạo do nấm: 20,33% với nấm đơn thuần: 5% và nấm phối hợp: 15,33%. Viêm âm đạo chưa rõ nguyên nhân (VIR - Vaginal Inflammatory Response ): 18,34%. Loạn khuẩn âm đạo (BV - bacterial vaginosis): 12,66% với BV đơn thuần: 4% và BV phối hợp: 8,66%. Viêm âm đạo do trichomonas chiếm 0,66%.

Kết luận: Có thể sử dụng máy GMD-S600 trong hỗ trợ chuẩn đoán các căn nguyên viêm âm đạo.
Mối tương quan giữa phân mảnh DNA tinh trùng và các chỉ số tinh dịch đồ ở nam giới vô sinh
Authors: Lê Ngọc Tuệ Nhi , Trương Quốc Phong , Nguyễn Thị Tuyết Mai , Lê Quý Thưởng , Phạm Thái Hạ , Đoàn Xuân Kiên
Published: October 2022

Mục tiêu: Xác định mối tương quan giữa chỉ số phân mảnh DNA tinh trùng (DFI - DNA fragmentation index) được đo bằng phương pháp khảo sát sự phân tán nhiễm sắc chất của tinh trùng (SCD - sperm chromatin dispersion test) và các chỉ số tinh dịch đồ ở nam giới vô sinh.

Đối tượng và phương pháp: Nghiên cứu mô tả cắt ngang thực hiện trên 150 mẫu tinh dịch của bệnh nhân nam được lấy bằng phương pháp thủ dâm tại Trung tâm Hỗ trợ sinh sản và nam học - Bệnh viện Sản Nhi Phú Thọ. Đánh giá các chỉ số tinh dịch đồ theo WHO (2021) và xác định chỉ số phân mảnh DNA tinh trùng bằng phương pháp SCD.

Kết quả: Chỉ số mức độ phân mảnh DNA tinh trùng tương quan nghịch với:mật độ tinh trùng (r = -0,405; p < 0,001), tỷ lệ di động (r = - 0,30; p < 0,001), tỷ lệ sống của tinh trùng (r = - 0,31; p < 0,001), hình dạng tinh trùng (r = -0,456; p = <0,001). Không có sự khác biệt nào về mức độ phân mảnh DNA của tinh trùng theo: độ tuổi, thời gian kiêng xuất tinh, thể tích xuất tinh, pH.

Kết luận: Kết quả DFI-SCD có sự tương quan nghịch với: mật độ tinh trùng, tỷ lệ tinh trùng di động, tỷ lệ sống của tinh trùng, hình dạng tinh trùng. Không tìm thấy mối tương quan giữa DFI-SCD với: độ tuổi, thời gian kiêng xuất tinh, pH.