bluuebunny/crossref_metadata_2025 huggingface dataset:
Görsel sanatlar eğitiminde ideoloji tartışmaları temelinde görsel kültür kuramı ve materyal kültürü
Authors: Basak Rasim
Published: April 2024

Bu makalede, görsel sanatlar eğitiminde yaygınlaşan bir kuram olan Görsel Kültür Kuramı ile birlikte, içerik olarak ona benzerlik taşıyan, ancak kavramsal temel prensipleri bakımından oldukça farklı bir alan olan Materyal Kültürü Araştırmaları incelenmiş, tarihsel kökleri bağlamında iki yaklaşıma yönelik eleştiriler ve kıyaslamalar ortaya konulmuştur. Ülkemizde pek bahsedilmemekle beraber, Görsel Kültür Kuramı’nın ideolojik gizli bir gündeme hizmet ettiği görüşü, uzun zamandır yaygın olarak tartışılmaktadır. Görsel Kültür Kuramı, Frankfurt Okulu’ndan doğan Eleştirel Kuram bağlantılı gizli Neo-Marxist veya Kültürel Marxist bir yaklaşım olmakla eleştirilen, kimilerine göre ise sadece postmodernist bir yaklaşım olan bir sanat eğitimi kuramıdır. Kurama getirilen yaygın eleştirilerden bir diğeri ise atölye uygulamaları konusundaki içerik yetersizliğidir. Tartışmalı bir sanat eğitimi kuramı olan Görsel Kültür Kuramı’nın, kavramsal temelleri ve içeriği bakımından Türkiye’de yaygın olarak pek anlaşılmadığı görülmektedir. Ülkemizde kuramın sadece tüketici toplumu, popüler kültür, kapitalist pazarlama yöntemleri, medya ve iletişim gibi boyutlarının ele alındığı görülmektedir. Bunun sebebi olarak Frankfurt Okulu temelli gizli kuramsal yöntem ve stratejiler ve bunun yanında politik teorilerin sanat eğitimi alanında pek bilinmemesi görülebilir. Materyal Kültürü Araştırmaları alanı bu tartışmaların dışındadır. Diğer taraftan siyasî boyutunun gizlenmesinde kuramın adının ‘Görsel Kültür’ olmasının rolü ve katkısı olduğu da düşünülmektedir. Bu araştırmada Görsel Kültür Kuramı’na yönelik görüşler ve kuramın içeriği hakkında tartışmalar ele alınmıştır. İdeolojik amaçlı olmakla eleştirilse de, pedagojik bir yöntem olarak sanat eğitimi alanına önemli katkılar sağladığı açık olan bu kuramın içeriği ve kuram hakkındaki tartışmalardan yola çıkılarak Milli Eğitim Sistemimiz içerisinde bu kuramın ülkemizdeki uygulanabilirliği de kuramsal bakımdan incelenmiştir.
Indifference in Recent Russian Films: The Gulag Face of Cruelty Returns
Authors: Dzero Irina
Published: April 2024

Several recent Russian films show victimizers become victims, and victims— victimizers. This random division into victimizers and victims was forced on society by Stalin, who enjoyed sending his intimate friends-victims (and their wives, children, and relatives) to torture and death. Millions of innocent Russians were captured, killed, or sent to the Gulag, but in an unprecedented way, they were also made to implicate their own intimate friends and family members and become victimizers in their turn. Alternatively, the NKVD torturers were also turned into victims, periodically killed off and replaced by new recruits. Testimonies of Shalamov, Ginsburg, and Dovlatov show that when intimate relationships shrink to command-compliance, both victimizers and victims shed emotions, including shame and guilt, and aggression becomes the only socially meaningful action and the last available entertainment. I identify the visual metaphor of this dynamic, the always identical indifferent face of cruelty, in the films Burnt by the Sun, The Return, Elena, Loveless, and Captain Volkonogov Escaped.
ScholarOne - Three-way Interaction of Faultline, Value Diversity, and Task Design on Team Performance
Authors: Choi Dongwon , Kim Boyoung , Min Eunhong
Published: April 2024

The successful management of diversity at work is currently the most
important and challenging issue for managers in organizations. While
scholars have deepened the understanding of the nature of diversity by
proposing new concepts such as “team faultline,” previous studies on
diversity focused more on the structural aspect of diversity,
disregarding the role of the psychological aspect of diversity among
team members. To overcome the above limitations, this study develops an
integrative model of the effects of team faultlines, value diversity,
and task design on team process and effectiveness. Drawing on the
categorization-elaboration model, we suggest that team faultlines have a
positive effect on team performance through team mental model only when
both team value diversity and team task design are high. This paper
intends to contribute to the literature of team diversity, team design,
and team mental model.
Fundamental Values of Administration of Justice: An Appraisal of the Dispensation of Justice in Bangladesh
Authors: Islam Mohammad Saiful
Published: April 2024

Administering  justice  is  a  critical  role  of
Development of a sensitivity analysis tool for the trajectory of multistage launch vehicles
Authors: Aksen Ukte , Aslan Alim Rüstem , Göker Ümit Deniz
Published: April 2024

The primary objective of this work is to create a highly accurate sensitivity analysis tool for multi-stage launch vehicle trajectories. This tool is designed to assess the impact of various parameters on the trajectory and performance of multi-stage launch vehicles. To achieve this, we have developed high-fidelity simulation software that considers all translational and angular movements by modelling the six-degrees-of-freedom (6DOF) equations of motion. The validation of this software is based on experimental data. An essential aspect of this work is the utilization of the developed sensitivity analysis tool to determine how different parameters affect the trajectory of multi-stage launch vehicles. Through the sensitivity analysis conducted using the developed tool, it is possible to identify which parameters are of critical importance during the design phase. We apply a generic mission profile for the Minotaur-I launcher to obtain parametric dependencies of the flight path. Through a comprehensive parametric study, we evaluate a range of critical parameters, including gross lift-off weight, a specific impulse of each stage, pitch-over manoeuvre initial time and angle, and ignition impulse of each stage. These parameters significantly influence the trajectory, performance, and reliability of the launch vehicle for mission design and success. The results of the sensitivity analysis underscore that even minor variations in these parameters can result in substantial deviations from the nominal insertion altitude. The acceptability of errors in specific impulse changes varies across stages, with maximum changes of 6.07%, and the fourth stage showing less sensitivity at 0.13%. However, it's important to note that variations in the parameters of the first stage tend to be challenging to rectify once they occur, with maximum changes in specific impulses reaching 75.57%. Another noteworthy discovery is that the acceptability of changes in pitch-over manoeuvre initiation times depends on the rate of change; they can be deemed either acceptable or unacceptable based on this factor, with changes ranging between 17.90% and 98.38%.
Brain Mappers of Tomorrow: An international multilingual initiative for neuroscience dissemination
Authors: Lee Kangjoo , Borghesani Valentina , de Moraes Fernanda Hansen Pacheco , Pozzobon Alyssa , Olsen Rosanna K. , Kam Julia , Tzovara Athina , Badhwar AmanPreet
Published: April 2024

The initiative "Brain Mappers of Tomorrow" coordinated by the Organization for Human Brain Mapping (OHBM) Diversity and Inclusivity Committee (DIC) aims to make neuroscience accessible to children worldwide, particularly those from historically underrepresented backgrounds. Over the past several years, this successful initiative has grown and evolved, offering live reviews of scientific papers tailored for children in multiple languages. These live review events have seen exponential growth, engaging over 1,000 children in 2023 alone. Through partnerships and innovative strategies, the initiative has successfully reached diverse audiences, fostering curiosity and critical thinking in young minds. Although some challenges remain, including recruiting scientists and participants from underprivileged communities, ongoing efforts strive to overcome these barriers. The success of "Brain Mappers of Tomorrow" demonstrates the potential for similar initiatives across scientific disciplines, emphasizing the importance of diversity and inclusivity in science education and outreach. Such efforts can foster positive impacts at multiple levels, from individuals (children and presenters) to global society. This editorial highlights the benefits and challenges of such initiatives, shares experiences and resources to assist other scientific communities in launching similar endeavors, and discusses future directions.
Learning to Attenuate Myself: A Predictive Processing Account of the Body-Scan Meditation
Authors: Becattini Valeria
Published: April 2024

The practice of meditation consists in allocating attention on sensory stimuli. As it is commonly known, attention allocation tends to increase both the cortical and the phenomenal response to the target. Yet, in deep contemplative states practitioners often report to feel a complete dissolution of body boundaries, i.e. the state of banga (in Pali). This phenomenon creates a tension with existing literature on attention: How does attention decrease the perception of the sensory target instead of increasing it? This paper aims at solving the tension by examining computational, phenomenological, and embodied approaches to contemplative practices. The body-scan technique (Vipassana tradition) is taken as an exemplary practice that leads to the state of bhanga. Through a predictive processing account of the attentional processes of the body-scan, I propose an “overly attenuated” body of the practitioner may render the phenomenology of the state of bhanga. For this purpose, I first present the body-scan technique and its phenomenology (section 1, 2). Then, I present relevant concepts in the Predictive Processing framework (section 3), and propose a predictive processing analysis of attentional processes of the body-scan (section 4). I claim that the body-scan enhances the accuracy of (low-level) predictions on somatosensory cues, which in turn attenuate them. This mechanism, I suggest, may underlie the short-term phenomenology of the body-scan. Finally, implications of linking attention to body perception and future outlooks are examined (section 5).
Assessing alexithymia for positive and negative emotions: the role of granularity and dialecticism
Authors: MAS Marine , Luana Comida , Luminet Olivier
Published: April 2024

Alexithymia is a transdiagnostic factor for the development and maintenance of psychological symptomatology. Strongly tied to particularities in emotion regulation, recent theorizations consider the difficulties describing and identifying feelings dimensions of alexithymia to influence the appraisal stage of emotional processing. This study aimed at replicating and extending findings from Aaron et al., 2018 by focusing on differentiating alexithymia for positive and negative emotions. Participants (n=125, mean age 45 y.o; 74% women) evaluated their emotional experience after watching videos inducing anger, disgust, sadness, fear, amusement and tenderness. Alexithymia was measured by the Toronto Alexithymia Scale (TAS-20) and Perth Alexithymia Questionnaire (PAQ). No association between alexithymia and positive emotional complexity was observed despite the use of the PAQ assessing alexithymia for positive emotions. Difficulties describing and identifying negative feelings from PAQ were predicted by lower negative granularity. Difficulties describing feelings from both scales were predicted by higher negative dialecticism. These results confirm the association between alexithymia facets and emotional complexity regarding negative emotions and emphasize the importance of controlling for negative affect in alexithymia studies. Finally, high alexithymia was characterized by higher reporting of negative affective states compared to positives states following positive induction, which questions the interpretation of dialecticism in alexithymia.
The social aspects of illness: Children’s and parents’ explanations of the relation between social categories and illness in a predominantly white U.S. sample
Authors: Menendez David , Labotka Danielle , Umscheid Valerie , Gelman Susan A.
Published: April 2024

The COVID-19 pandemic in the United States has had a disproportionate impact on Black, low-income, and elderly individuals. We recruited 175 predominantly white children ages 5-12 and their parents (N=112) and asked which of two individuals (differing in age, gender, race, social class, or personality) was more likely to get sick with either COVID-19 or the common cold and why. Children and parents reported that older adults were more likely to get sick than younger adults, but reported few differences based on gender, race, social class, or personality. Children predominantly used behavioral explanations, but older children used more biological and structural explanations. Thus, children have some understanding of health disparities, and their understanding increases with age.
Effect of Childhood Trauma on Longitudinal Alteration in Amygdala, Striatal Dopamine, and Prefrontal Cortex
Authors: Lee Jiwon
Published: April 2024

Childhood trauma is an event that can lead multiple mental or physical illnesses to a child. Some childhood trauma can be prevalent for a short period of time, but some can remain longer by alteration of the brain structure and functions. The regions and results that are affected vary, but this review will mostly focus on the trauma effect as it influences violent behavior. Therefore, the factors that this article will review are amygdala, prefrontal cortex, and striatal dopamine which are known to have significant impacts on violent behavior.
Samrat Upadhyay’s “During the Festival”: A Psychoanalytic-Feminist Exploration of Desire
Authors: Poudel Shyam Prasad
Published: April 2024

This research delves into Samrat Upadhyay’s short story “During the Festival,” collected in  Arresting God in Kathmandu, examines the innate impulses shared by humans and animals within the modern Nepali society. Through a psychoanalytic-feminist theoretical framework, the study critically uncovers the subconscious projections of characters like Ganesh, revealing the complex dynamics of jealousy, sexuality, and familial relationships. Ganesh’s jealousy towards his wife’s emotional relationship with a young man in the neighbourhood reflects deeper insecurities about sexuality and societal norms and values in Nepal, while the neighbour’s displacement of his wife with his mother exposes the unresolved and conflicting issues stemming from the childhood experiences. Drawing on psychoanalytic principles, the analysis explores the themes of infantile fears and psychical metamorphosis, shedding light on the intricate interplay between individual psyche and societal constructs. By dissecting the text’s intrinsic characters and unconscious desires, this research contributes to a deeper understanding of human nature and societal complexities in Nepali literature.
स्याङ्जाली मुक्तकका समकालीन प्रवृत्ति {Contemporary Trends in the Syngjali Muktak}
Authors: रानाभाट Ranabhat गौतम Gautam
Published: April 2024

प्रस्तुत आलेख स्याङ्जाली मुक्तककारका समकालीन मुक्तकका प्रवृत्तिको विश्लेषणसँग सम्बन्धित छ । कविताको लघुतम् आयाममा प्रकट हुने मुक्तक लेखनमा नेपाली कविताले नयाँ मोड लिएको २०३६ सालको सडककविता क्रान्तिपछि स्याङ्जाली मुक्तक लेखनमा के कस्ता प्रवृत्ति देखा परे भन्ने मूल समस्यामा आलेख केन्द्रित छ । नेपाली कविताका विभिन्न कालमध्ये आधुनिक कालको समसामयिक धाराको समय नै समकालीन स्याङ्जाली मुक्तकका प्रवृत्ति अध्ययनको आधार हो । आलेखमा यसै चरणका मुक्तकलाई प्राथमिक स्रोत सामग्री र स्याङ्जाली मुक्तकका समकालीन प्रवृत्तिबारे विश्लेषण गरिएका विविध सामग्रीलाई द्वितीय स्रोत सामग्रीका रूपमा उपयोग गरिएको छ । गुणात्मक अनुसन्धान ढाँचामा केन्द्रित रहेर तयार पारिएको आलेखमा सूक्ष्म पठन तथा विश्लेषण विधि प्रयोग गरी अनुसन्धानलाई अगाडि बढाइएको छ । अध्ययनबाट राजनीतिक अव्यवस्थाको चित्रण, जीवनवादी चेतना, प्रेम पक्षको अभिव्यक्ति, विकृति विसङ्गतिको चित्रण र सामाजिक यथार्थको चित्रण स्याङ्जाली मुक्तकका समकालीन प्रवृत्ति रहेको निष्कर्ष निकालिएको छ । यस चरणका स्याङ्जाली मुक्तकले समसामयिक यथार्थलाई अभिव्यक्त गरेकाले स्याङ्जाली मुक्तकको समकालीन प्रवृत्तिलाई यथार्थवादी मुक्तक लेखनको चरणका रूपमा स्थापित गर्ने निष्कर्ष नै आलेखको प्राप्ति हो ।
Evaluation of the air quality in arid climate megacities (Case study: Greater Cairo)
Authors: HWEHY Mohammed Mahmoud A. , MOURSY Fawzia Ibrahim , EL-TANTAWI Attia Mahmoud , MOHAMED Mostafa Abd El-Hameed
Published: April 2024

The accelerated urbanization in the last decade and population growth in developing countries in the Middle East and North Africa (MENA) region have increased the count of humans exposed to air pollution. This work aims to provide an insight into air quality in the Greater Cairo (GC) area which is one of the largest megacities in the MENA region and is classified as its most polluted city according to the reports of the World Health Organization (WHO). Exploratory data analysis and cluster analysis were used to assess the pollutants data and meteorological data to understand the impacts of weather factors on air quality in GC. According to the results, GC suffers from particle matter of 10 micrometres or less (PM10) pollutants. The annual averages ranged from 97 ± 10 to 203 ± 42 μg/m3. Though short-term exposure to gaseous pollutants did not exceed the limits, the long-term exposures exceeded those in some congested traffic areas. The annual averages ranged from 20 ± 5 to 63 ± 24 μg/m3 for Nitrogen dioxide (NO2) and from 9 ± 3 to 21 ± 5 μg/m3 for sulphur dioxide (SO2). Also, the terrain affects the spatial variation of pollutants observation. There is a negative correlation between the monitoring site elevation and the pollutant concentration.
FEASIBILITY STUDY OF SOLAR COLLECTORS INSTALLATION FOR PRIVATE RESIDENCE
Authors:   Perm National Research Polytechnic University, Beloglazova Tatyana N. , Romanova Tatyana N. ,   Perm National Research Polytechnic University
Published: April 2024

The hot water supply system of Perm uses solar energy. The aim of the study was to substantiate the economic efficiency of solar collectors and determine their payback period taking into account climatic conditions, equipment cost and economic criteria. The proposed technical solutions of solar energy using were analyzed and compared with electric heating. During the study, the authors defined the required minimum solar collector area for a household (taking into account the hot water standard for Perm) as a functional dependence of the amount of incoming solar insolation on the amount of using heat energy. We evaluated domestic and imported solar collectors on the required parameters. The value of the reduction in the payment for electric energy was taken as the income for the households. The economic efficiency was calculated based on the forecasted average electricity tariff, taking into account inflation from 2 to 16 %. The payback of a solar hot water heating system depends primarily on the cost of purchase, installation of equipment and on the discount rate. The practical significance is to substantiate the economic efficiency of solar collectors for consumers. The methodology and results of the study can be used in private residential construction and in justification of the use of alternative energy sources for Russian regions with low insolation.
FORMATION OF URBAN ENVIRONMENT COLOURISTICS UNDER THE INFLUENCE OF COLOUR CULTURE AND COLOUR PREFERENCES OF A PERSON
Authors:   Industrial University of Tyumen, Justus Anastasia M.
Published: April 2024

Colour plays an important role in creating a safe and informative urban environment. However, there is still a tendency towards colour monotony or, on the contrary, chaotic flashy colours in the colourism of urban space. The globalisation process in urban planning also has a negative impact and leads to the loss of individual image and recognition of modern fast-growing cities, including Tyumen. The article studies the colouristics of the city, its formation under the influence of colour culture and colour preferences of citizens. The author compares the existing methods of formation of urban environment colouristics based on a set of different factors. A special place in the study is given to regional colour culture. Its basis lies in the colour preferences of a person, certain social groups or a nation. The study of the history of colour culture in Tyumen relies on historical and qualitative methods, analysis of archival materials, various written and visual documents. The study gives examples of the influence of colour culture on the formation of urban environment colourism. Field surveys of real architectural objects in the central part of Tyumen and the analysis of changes in colour preferences caused by the change of colour carriers made it possible to identify the colouristics peculiarities in the city in certain periods of its construction. Scientific novelty consists in an in-depth consideration of the formation of urban environment colouristics in the context of regional colour culture.
СТРАТЕГІЇ РОЗГОРТАННЯ ТА МЕТОДИ ЗАБЕЗПЕЧЕННЯ НАДІЙНОСТИ РОЮ БПЛА ДЛЯ УТВОРЕННЯ LIFI МЕРЕЖІ
Authors: ЛЕЙЧЕНКО Кирило , ФЕСЕНКО Герман , ХАРЧЕНКО Вячеслав
Published: April 2024

У статті представлені стратегії розгортання рою безпілотних літальних апаратів (БПЛА) із стаціонарного депо для утворення літаючої LiFi мережі в приміщенні з перешкодами з використанням заздалегідь прокладеного маршруту розповсюдження LiFi сигналу. Надано приклад реалізації стратегії, яка передбачає рух кожного БПЛА з депо одразу до точки призначення на прокладеному маршруті розповсюдження LiFi сигналу.

Запропоновані методи та наведено приклади забезпечення безперебійного функціонування літаючої LiFi мережі із необхідним рівнем надійності протягом заданого часу у приміщенні з перешкодами шляхом використанням двох змін рою БПЛА.

Надана графічна інтерпретація почергової роботи двох змін рою БПЛА для розгортання і забезпечення  безперебійного функціонування літаючої LiFi мережі.
Non-Parents’ Rights to Child Custody
Authors:   The Korean Society Of Family Law, JIN Dowang
Published: April 2024

Non-parents’ right to child custody is one of the many problems accompanying the current changed family view or family model. Korean Civil Law already has a history of trying to adapt to the new concept of family by breaking away from the traditional concept of family through legislation allowing (limited) grandparents’ right to visitation. This can be said to be part of the re-establishment of parental rights in terms of children’s welfare. The issue of custody of non-parents covered in this paper could also take the first step in its discussion in the same context. Such an examination inevitably involves adjusting the concept of parental rights, and it also involves a review of the relationship between parental rights and guardianship of minors as a supplement to parental authority.
The custody of non-parents must first find its basis in guardianship of minors. However, it is worth noting that the supplementary nature of guardianship of minors to parental authority simultaneously implies an exclusive relationship between them. This is a limitation derived from the fact that guardianship of minors was originally designed as a supplement to parental authority, and in certain situations, it could come into an obstacle to realizing the maximization of children’s welfare. To solve this problem, there may be no need to re-establish the supplementary relationship between parental rights and guardianship of minors, but we need to consider an alternative of guardianship of minor. This article reviews the U.S. de facto parents system as the alternative. The de facto parent system, like the minor guardianship system, supplements the parental authority function, but its main focus is to contribute to the children’s welfare by maintaining and continuing the meaningful relationship already formed between the child and a non-parent. This does not simply assume an exclusive conflict with parental authority. This can be confirmed in the fact that joint custody or secondary custody is granted to the de facto parents in certain cases, which ultimately intended for the coexistence and cooperation of parents and de facto parents in raising children. This will be beneficial in achieving maximization of children’s welfare.
Secure data aggregation using quantum key management in IoT networks
Authors: Thenmozhi R. , Sakthivel P. , Kulothungan K.
Published: April 2024

The Internet of Things and Quantum Computing raise concerns, as Quantum IoT defines security that exploits quantum security management in IoT. The security of IoT is a significant concern for ensuring secure communications that must be appropriately protected to address key distribution challenges and ensure high security during data transmission. Therefore, in the critical context of IoT environments, secure data aggregation can provide access privileges for accessing network services. "Most data aggregation schemes achieve high computational efficiency; however, the cryptography mechanism faces challenges in finding a solution for the expected security desecration, especially with the advent of quantum computers utilizing public-key cryptosystems despite these limitations. In this paper, the Secure Data Aggregation using Quantum Key Management scheme, named SDA-QKM, employs public-key encryption to enhance the security level of data aggregation. The proposed system introduces traceability and stability checks for the keys to detect adversaries during the data aggregation process, providing efficient security and reducing authentication costs. Here the performance has been evaluated by comparing it with existing competing schemes in terms of data aggregation. The results demonstrate that SDA-QKM offers a robust security analysis against various threats, protecting privacy, authentication, and computation efficiency at a lower computational cost and communication overhead than existing systems.
Progressive feature reduction with varied missing data and feature selection for arthritis disease prediction
Authors: Ramasamy Uma , Santhoshkumar Sundar
Published: April 2024

In the expansive domain of data-driven research, the curse of dimensionality poses challenges such as increased computational complexity, noise sensitivity, and the risk of overfitting models. Dimensionality reduction is vital to handle high-dimensional datasets effectively. The pilot study disease dataset (PSD) with 53 features contains patients with Rheumatoid Arthritis (RA) and Osteoarthritis (OA). Our work aims to reduce the dimension of the features in the PSD dataset, identify a suitable feature selection technique for the reduced-dimensional dataset, analyze an appropriate Machine Learning (ML) model, select significant features to predict the RA and OA disease and reveal significant features that predict the arthritis disease. The proposed study, Progressive Feature Reduction with Varied Missing Data (PFRVMD), was employed to reduce the dimension of features by using PCA loading scores in the random value imputed PSD dataset. Subsequently, notable feature selection methods, such as backward feature selection, the Boruta algorithm, the extra tree classifier, and forward feature selection, were implemented on the reduced-dimensional feature set. The significant features/biomarkers are obtained from the best feature selection technique. ML models such as the K-Nearest Neighbour Classifier (KNNC), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Naïve Bayes Classifier (NBC), Random Forest Classifier (RFC) and Support Vector Classifier (SVC) are used to determine the best feature selection method. The results indicated that the Extra Tree Classifier (ETC) is the promising feature selection method for the PSD dataset because the significant features obtained from ETC depicted the highest accuracy on SVC.
Metaheruistic optimization based machine-learning approach for analysis of academic students’ strategies
Authors: Wang Lu
Published: April 2024

In this technology world, education is also becoming one of the basic necessities of human life like food, shelter, and clothes. Even in day-to-day daily activities, the world is moving toward an automated process using technology developments. Some of the technology developments in day-to-day life activities are smartphone, internet activities, and home and office appliances. To cope with these advanced technologies, the persons must have basic educational qualification to understand and operate those appliances easily. Apart from this, the education helps the person to develop their personal growth in both knowledge and wealth. With the development of technologies, different Artificial Intelligence techniques have been applied on the datasets to analyze these factors and enhance the teaching method. But the current techniques were applied to one or two data models that analyze either their educational performance or demographic variable. But these models were not sufficient for analyzing all the factors that affects the education. To overcome this, a single optimized machine-learning approach is proposed in this paper to analyze the factors that affect the education. This analysis helps the faculty to enhance their teaching methodology and understand the student’s mentality toward education. The proposed Hybrid Cuckoo search-particle swarm optimization was implemented on three datasets to determine the factors that affect the education. These optimal factors are determined by identifying their relations to the final results of an individual person. All these optimal factors are combined and grades are grouped to analyze the proposed optimization process performance using regression neural network. The proposed optimization-based neural network was tested on three data models and its performance analysis showed that the proposed model can achieve higher accuracy of 99% that affects the individual education. This shows that the proposed model can help the faculty to enhance their attention to the students individually.
RETRACTED: Hybridization of fuzzy rough feature selection with ANFIS and turbulent flow of water optimization for managing software defect prediction uncertainty
Authors: Elsabagh M.A. , Emam O.E. , Medhat T. , Gafar M.G.
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Air pollutant concentration and population distribution economic planning simulation based on target tracking
Authors: Liu Kai , Wang Mingyi
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A deep neural network for vehicle detection in aerial images
Authors: Du Rong , Cheng Yan
Published: April 2024

This research paper highlights the significance of vehicle detection in aerial images for surveillance systems, focusing on deep learning methods that outperform traditional approaches. However, the challenge of high computation complexity due to diverse vehicle appearances persists. The motivation behind this study is to highlight the crucial role of vehicle detection in aerial images for surveillance systems, emphasizing the superior performance of deep learning methods compared to traditional approaches. To address this, a lightweight deep neural network-based model is developed, striking a balance between accuracy and efficiency enabling real-time operation. The model is trained and evaluated on a standardized dataset, with extensive experiments demonstrating its ability to achieve accurate vehicle detection with significantly reduced computation costs, offering a practical solution for real-world aerial surveillance scenarios.
Facial expression recognition for stress detection: A Conv-XGBoost Algorithm approach
Authors: Kumar Geethu S. , Ankayarkanni B.
Published: April 2024

Facial Emotion Recognition (FER) is a powerful tool for gaining insights into human behaviour and well-being by precisely quantifying a wide range of emotions especially stress, through the analysis of facial images. Detecting stress using FER entails meticulously examining subtle facial cues, such as changes in eye movements, brow furrowing, lip tightening, and muscle contractions. To assure effectiveness and real-time processing, FER approaches based on deep learning and artificial intelligence (AI) techniques was created using edge modules. This research introduces a novel approach for identifying stress, leveraging the Conv-XGBoost Algorithm to analyse facial emotions. The proposed model sustain rigorous evaluation techniques, for employing key metrics examination such as the F1 score, validation accuracy, precision, and recall rate to assess its real-world reliability and robustness. This comprehensive analysis and validation proved the model’s practical utility in facial analysis. Integrating the Conv-XGBoost Algorithm with facial emotion analysis represents a promising and highly accurate solution for efficient stress detection. The method surpasses existing literature and demonstrate significant potential for practical applications based on well-validated data.
Optimized machine learning algorithm for thyroid tumour type classification: A hybrid approach Random Forest, and intelligent optimization algorithms
Authors: Sheik Faritha Begum S. , Suresh Anand M. , Pramila P.V. , Indra J. , Samson Isaac J. , Alagappan Chockalingam , Gopala Gupta Amara S.A.L.G. , Srivastava Suraj , Vidhya R.G.
Published: April 2024

Thyroid tumours are a common form of cancer, and accurate classification of their type is crucial for effective treatment planning. This research presents a hybrid approach for the classification of thyroid tumours based on their type. The proposed approach combines the use of advanced machine learning techniques with a comprehensive database of thyroid tumour samples. The database includes various features such as tumour size, shape, and texture, as well as patient-specific information. The hybrid approach aims to optimize the classification process by leveraging the diverse set of features and utilizing the power of machine learning algorithms. By harnessing the power of machine learning algorithms, this approach has the potential to revolutionize the field of thyroid tumour classification and significantly improve patient outcomes. The optimization strategy is Particle Swarm Optimization, refining the classification performance and ensuring optimal accuracy in identifying and categorizing four types of thyroid tumours. The utilization of advanced diagnostic tools and state-of-the-art Random forest classifier techniques in this approach marks a significant advancement in the field of thyroid tumour classification. Through the augmentation of the dataset and the pre-processing techniques employed, the hybrid classification system demonstrates enhanced accuracy and reliability in distinguishing between different types of thyroid tumours. This innovative approach not only provides a more comprehensive understanding of thyroid tumours but also paves the way for personalized and effective treatment strategies, ultimately improving patient care and outcomes.
Non-Pharmacological Interventions for Depression and Anxiety in Parkinson’s Disease
Authors: van Wegen Erwin E.H. , van Balkom Tim D. , Hirsch Mark A. , Rutten Sonja , van den Heuvel Odile A.
Published: April 2024

Non-pharmacological interventions, including cognitive-behavioral therapy (CBT), non-invasive brain stimulation (NIBS), electroconvulsive therapy (ECT), light therapy (LT), and physical rehabilitation/exercise, have shown promise as effective approaches to treat symptoms of depression and anxiety in individuals with Parkinson’s disease (PD). In this narrative literature overview, we discuss the state-of-the-art regarding these treatment options and address future perspectives for clinical practice and research. Non-pharmacological interventions hold promise to treat depression and anxiety in PD. There is meta-analytic evidence for the efficacy of CBT, NIBS, ECT, LT, and exercise on improving depressive symptoms. For the treatment of anxiety symptoms, CBT shows large effects but scientific evidence of other non-pharmacological interventions is limited. Importantly, these treatments are safe interventions with no or mild side-effects. More research is needed to tailor treatment to the individuals’ needs and combined interventions may provide synergistic effects.We conclude that non-pharmacological interventions should be considered as alternative or augmentative treatments to pharmacological and neurosurgical approaches for the treatment of depression and anxiety in individuals with PD.
Healthy eating behaviors and food consumption frequencies of retail workers
Authors: Dost Ayse , Üner Elif
Published: April 2024

BACKGROUND: Retail workers comprise millions of people, but little is known about their eating behaviors and food consumption patterns. OBJECTIVE: To examine the healthy eating behaviors and food consumption frequencies of retail workers in shopping malls. METHODS: The sample of this descriptive study consisted of 385 retail employees working in ready-made garment stores of shopping malls in Istanbul (42% of those eligible). A descriptive information form, the nutrition subscale of the Health-promoting Lifestyle Profile (HPLP), and the Food Consumption Frequency Survey were used as data collection tools. RESULTS: It was determined that more than half of the participants skipped breakfast and other meals and consumed fast food and packaged and acidic drinks five to six days a week. The mean score of the participants on the HPLP-nutrition subscale was determined to be 11.79±3.29. CONCLUSIONS: The retail workers in shopping malls were found to have insufficient healthy eating behaviors, a low frequency of healthy food consumption, and a high level of fast-food consumption. Maintaining healthy eating habits is crucial for the health of employees. It is necessary for workplaces to take steps to help their employees become aware of and practice healthy eating. Workplaces should also be encouraged to provide healthy food options for their employees.
Work-related musculoskeletal disorders in dockworkers. Systematic review and meta-analysis
Authors: Crizol Giuliana Raduan , Sá Kamilla Mayr Martins , Santos Giovanna Marcílio , Gonçalves Marcela Letícia Leal , Mendes Gustavo Duarte , Bussadori Sandra Kalil , Pacheco Rafael Leite , Riera Rachel , Santos Elaine Marcílio , Martimbianco Ana Luiza Cabrera
Published: April 2024

BACKGROUND: Dockworkers are exposed to physical overloads that can contribute to the development of musculoskeletal disorders, leading to functional disability and absenteeism. OBJECTIVE: to map, critically appraise, and synthesize the available evidence on the prevalence of musculoskeletal diseases associated with port occupational activities. METHODS: A comprehensive search was conducted in structured and unstructured databases in August 2023, with no date or language restriction, to identify observational studies evaluating the prevalence of musculoskeletal disorders in dockworkers’ occupational activity. The risk of bias was assessed using validated tools based on the included study designs. Data from studies were pooled in meta-analyses. The certainty of the evidence was assessed using the GRADE approach. RESULTS: We identified 12 analytical cross-sectional studies involving 7821 participants in ports of five countries. Most studies (75%) had a moderate methodological quality according to the Joanna Briggs Institute tool. Considering the overall worker categories and any musculoskeletal disorders, the meta-analysis showed a prevalence of 58% (95% Confidence Interval [95% CI] 37% to 78%), with degenerative spinal diseases 42% (95% CI –0.6% to 91%) and low back pain 36% (95% CI 21% to 50%) being the most prevalent conditions. Symptoms were predominantly in foremen and stevedores. The certainty of the evidence was very low. CONCLUSIONS: Musculoskeletal disorders seem prevalent among dockworkers, mainly degenerative spinal diseases and low back pain. Studies with greater methodological consistency are still needed to validate these hypotheses and assist in decision-making for implementing preventive and informational policies in maritime port management organizations. PROSPERO registry CRD42021257677.
US Policy Dilemmas in the Indo-Pacific
Authors:   Chintamani Mahapatra is the Founding Chairperson at the Kalinga Institute of Indo-Pacific Studies and a former Professor of Jawaharlal Nehru University (JNU), New Delhi., Mahapatra Chintamani
Published: April 2024

The Biden Administration in the United States is confronted with an acute dilemma in dealing with the rise of China as an assertive, aggressive and ambitious power in the global order. It seeks to preserve the economic benefits of maintaining good relations with China, yet is uncomfortable with the spread of Chinese influence across the world. This policy dilemma is not new for the US foreign policymakers and there are several instances of Washington’s dilemma in dealing with China in the post-World War II period. As the existing superpower United States and aspiring superpower China struggle to manage their relationship, the dilemmas faced by the US are likely to continue deep into the future. The complex interdependence marked by trade and investment relations, complex geopolitical imperatives and the need to prevent conflict escalation makes it difficult for Washington and Beijing to escape policy dilemmas.
Ivan Bunin’s Prose in English: a Diachronic Analysis of Translations
Authors: Maslov Yuri Vsevolodovich
Published: April 2024

The material deals with the problem of retranslations of classical Russian prose into English viewed diachronically. The material is a short story by Ivan Bunin, the Nobel Prize winning émigré writer, and its four published English-language renditions made between 1949 and 2008. The retranslations are compared using four excerpts from the original text. A machine-produced version is also analyzed, along with the translation produced by the author. The conclusions offer some recommendations on how translators may improve the overall quality of the product of their efforts.
Dental alterations in young Quarter Horse
Authors:   Centro Universitário Maurício de Nassau, Souto Edeugardes Welys de , Silva José Henrique Lisboa de Menezes ,   Centro Universitário Maurício de Nassau, Melo Ubiratan Pereira de ,   Centro Universitário Maurício de Nassau, Ferreira Cíntia ,   Centro Universitário Maurício de Nassau
Published: April 2024

This study aimed to assess the prevalence of dental alterations in 100 young Quarter Horses aged between 6 and 48 months, sourced from various breeding farms. The animals were divided into four age groups: Group I (6–12 months), Group II (12–24 months), Group III (25–36 months), and Group IV (37–48 months). The identified alterations were documented using an oral-dental mapping form. The primary dental changes observed in this study included the presence of excessive dental enamel points, eruption of the first premolar, limited and asymmetrical lateral excursions, buccal or lingual ulcerations, ramps, caudal hooks, rostral hooks, and steps. Among these alterations, excessive dental enamel points were the most commonly observed in the analyzed samples. The high prevalence of enamel points highlights the importance of preventive and intervention strategies to minimize the negative impact of these alterations on oral health and foal development.
Method for asynchronous analysis of a glottal source based on a two-level autoregressive model of the speech signal
Authors: Savchenko V. V. , Savchenko L. V.
Published: April 2024

The task of analyzing a glottal source over a short observation interval is considered. The acute problem of insufficient performance of known methods for analyzing a glottal source is pointed out, regardless of the mode of data preparation: synchronous with the main tone of speech sounds or asynchronous. A method for analyzing the glottal source based on a two-level autoregressive model of the speech signal is proposed. Its software implementation based on the high-speed Burg-Levinson computational procedure is described. It does not require synchronization of the sequence of observations used with the main tone of the speech signal and is characterized by a relatively small amount of computational costs. Using the described software implementation, a full-scale experiment was set up and conducted, where the vowel sounds of the control speaker’s speech were used as the object of study. Based on the results of the experiment, the increased performance of the proposed method was confirmed and its requirements for the duration of the speech signal during voice analysis in real time were formulated. It is shown that the optimal duration is in the range from 32 to 128 ms. The results obtained can be used in the development and research of digital speech communication systems, voice control, biometrics, biomedicine and other speech systems where the voice characteristics of the speaker’s speech are of paramount importance.
Comparative analysis and classification of measurement procedures and procedures for transferring of unit of quantity as elements of metrological traceability chain of measurement results
Authors: Tumilovich A. A.
Published: April 2024

The article analyzes types of measurement procedures and procedures for transferring a unit of quantity, such as: primary reference measurement procedures, reference measurement procedures, calibration procedures, validation procedures, end-user measurement procedures and measurement procedures. The article discusses requirements for developing the presented procedures, their research and approval. The article presents a classification of procedures depending on their place in metrological traceability chain, type of determined metrological characteristics and their application in the field of regulation. Based on the results of the analysis of regulatory documents, a table that describes basic requirements for development and approval of measurement procedures and procedures for transferring a unit of quantity is presented. The article also discusses requirements established for conformity assessment procedures for measurement procedures and procedures for transferring а unit of quantity, such as certification, validation and verification of procedures. The article presents definitions and scope of application for conformity assessment of measurement procedures and procedures for transferring a unit of quantity. Based on the analysis of requirements for conformity assessment of procedures, a flowchart for selecting appropriate conformity assessment procedure is presented. Due to this scheme, laboratories will be able to unambiguously choose one or another conformity assessment procedure to approve the required measurement method or method of transferring a unit of value. In particular, in preparation for accreditation for compliance with the requirements of ISO/IEC 17025-2017 “General requirements for the competence of testing and calibration laboratories.” The proposed scheme of choosing a procedure for conformity assessment of a specific measurement procedure eliminates ambiguity of the requirements of regulatory documents.
Ideas and ideologies in Argentina in the 1920s: anti-fascism before anti-fascism
Authors:   Instituto de Estudios Histórico-Sociales – IGEHCS/CONICET, Facultad de Ciencias Humanas, UNCPBA, Pasolini Ricardo
Published: April 2024

The article attempts to develop an analysis of the ideas that were developed about anti-fascism in Argentina in the 1920s. To do so, it studies a series of cultural magazines with a cos-mopolitan and/or left-wing ideological orientation (Nosotros, Los pensadores, Claridad, Valoraciones, Izquierda, Sagitario). The hypothesis is proposed that in a global context of circula-tion of ideas, the fascist political model is analyzed with curiosity, its anti-worker and authoritarian component is challenged, but it is recognized as a specific expression of Italian political life, of impossible development in Argentina. Unlike what would happen in the 1930s, anti-fascism was a non-central component of the national political debate during those years.