bluuebunny/crossref_metadata_2025 huggingface dataset:
Current Aspects of the Implementation of the Concept of the Standard of Social Well-being
Authors: Krivov V. D. , Vladimirov D. G.
Published: April 2024

Among the priorities in modern Russia is the modernization of the entire system of social protection of citizens and increasing its effectiveness. One of the most effective mechanisms for such modernization may be the introduction of a single Standard of social well-being for the whole country. The article substantiates the necessity and relevance of adopting this Standard in our country on the basis of social and economic indicators. Some recent measures taken at the state level aimed at implementing the principles and elements of this Standard are analyzed. The author's vision of what the content of the Standard of Social Well-being should be, how much public services, public goods and monetary payments it should guarantee to Russian citizens is presented.
A Study on the Spill Over Effects on Nifty 50 Returns: Evidence from Stock Market Performances of Major Asian Counterparts of India
Authors: Nagpal Anugya , MC Krishna
Published: April 2024

This study investigates the spillover effects of major Asian stock market performances on the returns of the Nifty 50, India's benchmark index. Employing advanced econometric techniques, we analyze the dynamic relationships between the Nifty 50 and key Asian counterparts, considering both short-term and long-term horizons. Our research delves into return spillovers aiming to comprehensively assess the interconnectedness and transmission of market movements across the region. This study utilizes an extensive dataset covering Nifty 50 returns from April 1, 2013, to March 31, 2023, along with meticulously documented returns from stock market indexes linked to major strategic alliances in India. By applying advanced multivariate time series analysis techniques, encompassing Vector Autoregression (VAR), Granger causality tests, and impulse response functions, we model the intricate dynamics interweaving these indexes with the Nifty 50. The research endeavors to answer fundamental questions, including assessing short- term and long-term effects resulting from major Asian counterparts of India on Nifty returns, as well as exploring noticeable patterns that indicate the direction of causality between these counterparts and Nifty returns. The outcomes of this study carry substantial implications for decision-makers. Investors can make more informed decisions, businesses planning strategic partnerships can refine their strategies, and policymakers can formulate economic and financial regulations that accurately reflect the complexities of these dynamics. By unveiling the ripple effects of these counterparts on the Nifty 50, this research offers valuable insights into the evolving dynamics of India's financial markets and their integration into the global economy.
Databricks- Data Intelligence Platform for Advanced Data Architecture
Authors: Ramana Reddy Bussu Venkata
Published: April 2024

Databricks, as a unified analytics platform, has emerged at the forefront of this evolution, offering scalable cloud-based solutions for data science and ML applications. This article explores the journey of Databricks in enabling data-driven decision-making through advanced analytics techniques. From its roots in Apache Spark to its current status as a leading platform for data engineering, data science, and machine learning, Databricks has continuously evolved to meet the growing demands of modern enterprises. This article examines the progression of data science/Machine Learning applications in Databricks, tracing their development from initial implementation to current state-of-the-art techniques and integration within the platform. Initially, the article delineates the inception of Databricks, focusing on its architecture and the early adoption of Apache Spark for big data processing. It explores how the platform's native support for various programming languages and its unified analytics engine facilitated the early stages of intelligent application development. The article further discusses the implications of these advancements for the future of data science and Intelligence within Databricks and the broader analytics ecosystem. It highlights the potential for further integration of AI and ML technologies, such as automated machine learning (AutoML) and real-time analytics, in enhancing decision-making processes and operational efficiencies across industries. The evolution of data science in Databricks has played a pivotal role in advancing big data analytics, offering scalable, efficient, and user-friendly solutions. This study not only charts the historical development of these applications within Databricks but also provides insights into future trends and potential areas for innovation. As data continues to grow in volume and complexity, platforms like Databricks will be instrumental in harnessing the power of data science and ML to drive insights and value across sectors.
Anxiety, Stress and Depression in Overseas Medical Students and its Associated Factors: A Descriptive Cross-Sectional Study at Jalalabad State University, Jalalabad, Kyrgyzstan
Authors: Roshan Khadka Ravi , Gyawali Meena , Abdullah Amara , Jamshaid Hammad , Kumar Anshu
Published: April 2024

Background: Stress can be described as a mental state of tension or be concerned brought on by an unpleasant circumstance. Stress is an ordinary human reaction that encourages us to face challenges and dangers in life. According to the WHO, four out of every five college students are contemplating or have attempted suicide. Medical education is considered as demanding because students undergo several psychological transformations. It is estimated that half of all significant adult psychiatric illnesses, including depression, begin before the age of fourteen. 75 % of college students do not seek help for mental health issues. (1)  Materials and Methods: A cross-sectional study was conducted in three months period of time from the month September till November 2023, among 150 students of various years at Jalalabad State Medical University using online Google forms. The study was conducted using DASS 21-item questionnaire to assess the level of stress, anxiety, and depression among students. The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 22.0 software. Ethical approval was taken from the University.  Result: In the study 9% of people reported having a moderate to extremely severe degree of stress, anxiety 27.3% and depression was found among 4% respectively in students. Stress and study of year were substantially correlated. (p = 0.007). Anxiety and extracurricular activities were found to be significiant (p = 0.004). Extracurricular activities and depression were linked. (p = 0.029) and the type of family they belong to (p = 0.015). While stress and depression were shown to be uncommon among medical students, anxiety was found to be more common, which might be related to a variety of factors such as new environments, difficult subjects, complex terminology, etc.  Conclusion: It is important to highlight the points like financial issues, home sick, behaviour of teachers and friends etc would be the stressful elements that might lead to increase the psychological problem among medical student. Following research endeavors in this domain ought to endeavor to address these constraints. In any event, we believe that our results emphasize the necessity of putting policies in place to protect and, where appropriate, improve the mental health and general wellbeing of medical students.
Red Wine Quality Prediction using Machine Learning
Authors: Vazaram B. Jhansi , Sankar D. Shiva , Lokesh M. , Mallikarjuna M.
Published: April 2024

The objective of this study aimed to create a model to forecast the quality of red wine by examining its physicochemical attributes. Various factors affect the precision of quality prediction in red wine analysis. This paper presents a computational intelligence approach employing machine learning methods. Specifically, the Random Forest Classifier, Naive Bayes Algorithm, and Support Vector Machine were applied. Using these machine learning techniques and the provided information, it becomes possible to predict the quality of a given red wine sample.
Exploring ascomycete diversity in Yunnan II: Introducing three novel species in the suborder Massarineae (Dothideomycetes, Pleosporales) from fern and grasses
Authors: Phookamsak Rungtiwa , Hongsanan Sinang , Bhat Darbhe Jayarama , Wanasinghe Dhanushka N. , Promputtha Itthayakorn , Suwannarach Nakarin , Kumla Jaturong , Xie Ning , Dawoud Turki M. , Mortimer Peter E. , Xu Jianchu , Lumyong Saisamorn
Published: April 2024

This article presents the results of an ongoing inventory of Ascomycota in Yunnan, China, carried out as part of the research project series “Exploring ascomycete diversity in Yunnan”. From over 100 samples collected from diverse host substrates, microfungi have been isolated, identified and are currently being documented. The primary objective of this research is to promote the discovery of novel taxa and explore the ascomycete diversity in the region, utilising a morphology-phylogeny approach. This article represents the second series of species descriptions for the project and introduces three undocumented species found in the families Bambusicolaceae, Dictyosporiaceae and Periconiaceae, belonging to the suborder Massarineae (Pleosporales, Dothideomycetes). These novel taxa exhibit typical morphological characteristics of Bambusicola, Periconia and Trichobotrys, leading to their designation as Bambusicola hongheensis, Periconia kunmingensis and Trichobotrys sinensis. Comprehensive multigene phylogenetic analyses were conducted to validate the novelty of these species. The results revealed well-defined clades that are clearly distinct from other related species, providing robust support for their placement within their respective families. Notably, this study unveils the phylogenetic affinity of Trichobotrys within Dictyosporiaceae for the first time. Additionally, the synanamorphism for the genus Trichobotrys is also reported for the first time. Detailed descriptions, illustrations and updated phylogenies of the novel species are provided, and thus presenting a valuable resource for researchers and mycologists interested in the diversity of ascomycetes in Yunnan. By enhancing our understanding of the Ascomycota diversity in this region, this research contributes to the broader field of fungal taxonomy and their phylogenetic understanding.
Real-time tracking of moving objects from scattering matrix in real-world microwave imaging
Authors: Son Seong-Ho , Lee Kwang-Jae , Park Won-Kwang
Published: April 2024

The problem of the real-time microwave imaging of small, moving objects from a scattering matrix without diagonal elements, whose elements are measured scattering parameters, is considered herein. An imaging algorithm based on a Kirchhoff migration operated at single frequency is designed, and its mathematical structure is investigated by establishing a relationship with an infinite series of Bessel functions of integer order and antenna configuration. This is based on the application of the Born approximation to the scattering parameters of small objects. The structure explains the reason for the detection of moving objects via a designed imaging function and supplies some of its properties. To demonstrate the strengths and weaknesses of the proposed algorithm, various simulations with real-data are conducted.
Analytical insights into solitary wave solutions of the fractional Estevez-Mansfield-Clarkson equation
Authors: Al-Sawalha M. Mossa , Noor Saima , Alshammari Saleh , Ganie Abdul Hamid , Shafee Ahmad
Published: April 2024

This study delved into the dynamics of wave solutions within the Estevez-Mansfield-Clarkson equation in fractional nonlinear space-time. Utilizing conformable fractional derivatives, the equation governing shallow water phenomena and fluid dynamics was transformed into a nonlinear ordinary differential equation. Applying the Riccati Bernoulli sub-ODE approach yielded a finite series representation. Notably, our findings revealed novel solitary wave solutions characterized by kink, anti-kink, periodic, and shock functions. Visualized through 3D and contour graphs, kink and periodic waves emerged as distinct observable manifestations. Intriguingly, the diversity of results surpassed previous results, contributing to a deeper understanding of the intricate dynamics inherent in the system.
Shape reconstruction of acoustic obstacle with linear sampling method and neural network
Authors: Tang Bowen , Yang Xiaoying , Su Lin
Published: April 2024

We consider the inverse scattering problem of reconstructing the boundary of an obstacle by using far-field data. With the plane wave as the incident wave, a priori information of the impenetrable obstacle can be obtained via the linear sampling method. We have constructed the shape parameter inversion model based on a neural network to reconstruct the obstacle. Numerical experimental results demonstrate that the model proposed in this paper is robust and performs well with a small number of observation directions.
Hyper-instability of Banach algebras
Authors: Alabkary Narjes
Published: April 2024

In this paper, we introduce and study the concept of hyper-instability as a strong version of multiplicative instability. This concept provides a powerful tool to study the multiplicative instability of Banach algebras. It replaces the condition of the iterated limits in the definition of multiplicative instability with conditions that are easier to examine. In particular, special conditions are suggested for Banach algebras that admit bounded approximate identities. Moreover, these conditions are preserved under isomorphisms. This enlarges the class of studied Banach algebras. We prove that many interesting Banach algebras are hyper-unstable, such as $ C^* $-algebras, Fourier algebras, and the algebra of compact operators on Banach spaces, each under certain conditions.
Former à un métier par l’inter‑métiers en exploitant la vidéo : analyse de l’activité de cadres de l’éducation stagiaires lors d’une alloconfrontation collective inter‑métiers
Authors: Gaudin Cyrille , Chaliès Sébastien
Published: April 2024

En France, un dispositif expérimental de vidéoformation des cadres de l’éducation stagiaires basé sur l’alloconfrontation collective inter-métiers a été élaboré, mis en œuvre et étudié. Lors d’une alloconfrontation collective inter-métiers, un groupe de professionnels exerçant des métiers différents est confronté aux images de l’activité professionnelle de l’un des membres du groupe. Le dispositif expérimental étudié a été mis en œuvre dans le cadre du développement, par l’Institut français de l’éducation, d’une plateforme de vidéoformation destinée aux cadres de l’éducation : NéopassCadres. Ancré dans un programme de recherche sur la formation professionnelle dont les soubassements épistémologiques sont issus d’une anthropologie culturaliste, l’étude a été menée auprès des cinq cadres de l’éducation stagiaires volontaires, exerçant des métiers de direction d’établissement ou d’inspection. Pour réaliser l’étude, deux catégories de données ont été recueillies puis retranscrites verbatim et traitées : l’enregistrement vidéo de l’alloconfrontation collective inter-métiers et les entretiens d’autoconfrontation des participants. Les résultats ouvrent sur une description et une analyse de l’activité des cadres de l’éducation stagiaires engagés dans l’alloconfrontation collective inter-métiers. Sur cette base, des circonstances de formation permettant de former à un métier par l’inter-métiers en exploitant la vidéo sont délimitées.
Abdoulaye Sèye, entre France et Sénégal
Authors: Bancel Nicolas
Published: April 2024

Le sprinteur sénégalais Abdoulaye Sèye a remporté, sous le maillot tricolore, la médaille de bronze aux Jeux olympiques de Rome en 1960, avant de poursuivre sa carrière dans les instances de l’athlétisme du Sénégal indépendant.
Thu Kamkasomphou, du Laos à la France qui gagne
Authors: Gastaut Yvan
Published: April 2024

Née au Laos en 1968, arrivée en France en 1979 parmi les boat people, Thu Kamkasomphou a gagné un palmarès impressionnant en tennis de table handisport. Plusieurs fois médaillée d’or olympique du simple dames (Sydney, 2000 et Pékin 2008), la pongiste se tient prête pour les Jeux de Paris.
Vencelas Dabaya : « l’homme fort » venu du Cameroun
Authors: Boli Claude
Published: April 2024

Haltérophile originaire du Cameroun, Vencelas Dabaya a remporté le titre mondial en moins de 69 kilos en 2006 et la médaille d’argent aux Jeux olympiques de Pékin 2008. Ce pilier de l’haltérophilie française est devenu l’entraîneur national de l’équipe tricolore.
« La France, je l’ai gagnée et portée sur mon dos, sur les champs de bataille et dans les stades » (Alain Mimoun)
Authors: Rey Didier
Published: April 2024

Alain Mimoun domine la course de fond durant l’après-guerre. En dépit de sa rivalité avec Emil Zátopek, il remporte l’or aux Jeux olympiques de Melbourne en 1956.
Sport et immigration dans Paris et ses banlieues
Authors: Sorez Julien
Published: April 2024

La pratique sportive immigrée en région parisienne se développe dès la fin du XIXe siècle avec la création des premières associations sportives fondées sur une communauté d’origine, en l’occurrence britannique. Durant l’entre-deux-guerres, les vagues migratoires suivantes mobiliseront le sport comme un levier de sociabilité et d’intégration.
Analyse des facteurs de dégradation des ressources halieutiques du lac de Buyo dans la Réserve de biosphère Taï en Côte d'Ivoire
Authors: Koigny Kouadio Juslin Hervé , Diarrassouba Abdoulaye , Yelkouni Martin , Assie Djeyao Roy Hartman
Published: April 2024

Le lac de Buyo en Côte d’Ivoire est un réservoir d’eau artificiel créé suite à la construction du barrage hydroélectrique de Buyo en 1981. Ce lac est exploité pour la production d’électricité et permet également aux populations locales de pratiquer la pêche. Malgré son importance socio-économique, le lac de Buyo est soumis à de nombreuses pressions anthropiques qui dégradent ses ressources halieutiques. En effet, ce plan d’eau est exploité par les communautés riveraines pour des activités de pêche. Le développement de ces activités s’est accompagné de l’installation de campements de pêcheurs sur les berges du lac, notamment à l’intérieur de la Réserve partielle de faune du N’zo contiguë au parc national de Taï (OIPR, 2006). Ces activités de pêche sont pratiquées en violation de la réglementation sur la pêche dans les eaux continentales en Côte d’Ivoire. Les sites de frayères, pour la plupart localisés à l’intérieur des limites de la Réserve du N’zo, ne sont pas épargnés et la ressource halieutique se fait de plus en plus rare (OIPR, 2014). La présente étude vise à analyser les facteurs impliqués dans la dégradation des ressources halieutiques du lac Buyo. L’approche méthodologique a consisté à réaliser des entretiens avec les différents acteurs de la gestion du lac de Buyo et à faire des observations directes sur le lac. Les résultats ont montré que les principales causes de la dégradation des ressources halieutiques sont liées aux mauvaises pratiques de pêche, à la mise en service du barrage hydroélectrique de Soubré en 2017 et au faible niveau d’application de la loi n°2016-554 du 26 juillet 2016 relative à la pêche et à l’aquaculture en Côte d’Ivoire, par les services de pêche. Le grand nombre de pêcheurs sur le lac, les conflits entre pêcheurs, la coupe des troncs d’arbres présents dans le lac et la diminution des précipitations sont également des causes relevées par les acteurs de la pêche. Ces activités humaines entraînent une diminution des produits de la pêche, une réduction de la taille des poissons, la disparition de certaines espèces de poissons et une augmentation de l’effort de pêche.
Assessing the Strategic Transformation of the Indian Insurance Sector Evolution Amidst COVID-19
Authors: Jaiswal Anand , Agarwal Nishtha , Kumar Rajesh , Singh Nripendra , Maan Himanshi
Published: April 2024

The global impact of the Covid-19 pandemic has presented unprecedented challenges, notably affecting the insurance industry. This research employs bibliometric and thematic analysis to scrutinize how the Indian insurance sector is adapting to the post-pandemic landscape, focusing on key factors promoting organizational resilience. This method involves a comprehensive review of research papers, articles, and reviews, identifying themes and sentiments that encapsulate adaptive strategies. Findings underscore leadership's critical role in guiding companies through turbulent times, fostering a culture of change. This research contributes to understanding the Indian insurance industry's responses to COVID-19, highlighting factors for post-pandemic effectiveness. It emphasizes visionary leadership, collaboration, and HRD practices in navigating the new normal and seizing opportunities amid challenges.
Multi-stage Multi-energy Flow Integrated Energy Systems of Electricity, Gas, and Heat Based on Heterogeneous Energy Flow Characteristics
Authors: Gou Qinglong , Wang Yansong , Yan Qingzeng
Published: April 2024

INTRODUCTION: The development of integrated energy systems (IES) is of paramount significance in addressing climate change and other challenges. Ensuring the rapid and accurate calculation of energy flow states is crucial for their efficient operation. However, the difference in response time of various heterogeneous energy flows in IES will lead to the inaccuracy of the steady-state model.
OBJECTIVES: This paper proposes a model for multi-stage multi-energy flow IES of electricity, gas, and heat based on heterogeneous energy flow characteristics.
Methods: IES was divided into fast variable networks and slow variable networks, and a multi-energy flow multi-stage model was established.  Suitable models were matched for different subnets at different stages to improve the calculation accuracy.
RESULTS: Selected a practical Electrical-Gas-Heat IES as a case study for simulation. Through case studies, the effectiveness and accuracy of the proposed method are demonstrated.
CONCLUSION: The multi-stage model proposed in this paper can improve the accuracy of multi-energy flow in IES.
Study on the Economic and Technical Optimization of Hybrid Rural Microgrids Integrating Wind, Solar, Biogas, and Energy Storage with AC/DC Conversion
Authors: Tan Hu , Wang Xiaoliang , Xu Tingting , Zhao Ke , Su Lianchao , Zhang Wenyu , Xin Zheng
Published: April 2024

Under the guidance of the 'dual carbon' goals and 'rural revitalization' strategy, the development of microgrids primarily based on wind, solar, and biogas energy is rapidly advancing in rural areas. A critical and challenging area of current research is how to optimally configure the capacity of these microgrids of varying sizes, taking into account the availability of resources in the system's environment and specific climatic conditions, to maximize economic benefits. Based on this, the article constructs a model of a hybrid AC/DC microgrid system powered by wind, solar, and biogas energy. It undertakes multi-objective optimization to achieve the highest utilization of renewable energy, the most economical cost, and the minimum carbon emissions while ensuring the reliability of the system's power supply. The study explores the economically and technically optimal configuration of this microgrid energy system under certain climatic conditions. The results indicate that the optimal configuration for a rural microgrid powered by wind, solar, and biogas energy should include a 2.6 kW biogas generator, 30.00 kW solar panels, 5.24 kW wind turbines, a 2.6 kW battery storage system, and a 10.00 kW bidirectional inverter. This configuration results in the lowest total net cost of the system, achieving optimal outcomes in terms of total net cost, cost per kilowatt-hour, and supply reliability.
Improvement of Efficiency of Inverters in Hydro Photovoltaic Power Station with Particle Swarm Optimization
Authors: Xue Huijie , Xiao Ning
Published: April 2024

In the sparsely populated areas without electricity, the hydro photovoltaic power station is a feasible solution for electricity supply. The strategy of distributing the power among the inverters is critical to the efficiency of them. The conventional distributing strategies result in low efficiency of the inverters. In order to improve the efficiency, this paper analysed the loss and efficiency characteristics of the inverter and expressed the power distributing problem as an optimal control problem minimizing the total loss for the inverters. The optimal control problem was solved with particle swarm optimization and the efficiency optimum power distribution strategies in three operation scenarios were obtained. The quantitative analysis method was adopted to evaluate the effect of the efficiency optimum power distribution strategies. The total efficiency of the inverters with the optimal strategies and the conventional strategies were calculated respectively.  The optimal distribution strategies were compared quantitatively with conventional power distribution strategies on the basis of the efficiency. The results demonstrated the validity of the strategies obtained in this paper in improving the total efficiency of the inverters.
Background music monitoring framework and dataset for TV broadcast audio
Authors: Kim Hyemi , Kim Junghyun , Park Jihyun , Kim Seongwoo , Park Chanjin , Yoo Wonyoung
Published: April 2024

Music identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music–speech separation, and music detection. In addition, we introduce the Cue‐K‐Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music–speech separation and music detection, effectively enhances TV broadcast audio monitoring.
Generative autoencoder to prevent overregularization of variational autoencoder
Authors: Ko YoungMin , Ko SunWoo , Kim YoungSoo
Published: April 2024

In machine learning, data scarcity is a common problem, and generative models have the potential to solve it. The variational autoencoder is a generative model that performs variational inference to estimate a low‐dimensional posterior distribution given high‐dimensional data. Specifically, it optimizes the evidence lower bound from regularization and reconstruction terms, but the two terms are imbalanced in general. If the reconstruction error is not sufficiently small to belong to the population, the generative model performance cannot be guaranteed. We propose a generative autoencoder (GAE) that uses an autoencoder to first minimize the reconstruction error and then estimate the distribution using latent vectors mapped onto a lower dimension through the encoder. We compare the Fréchet inception distances scores of the proposed GAE and nine other variational autoencoders on the MNIST, Fashion MNIST, CIFAR10, and SVHN datasets. The proposed GAE consistently outperforms the other methods on the MNIST (44.30), Fashion MNIST (196.34), and SVHN (77.53) datasets.
Application des méthodes et outils d'aide à la décision dans l’analyse économique : cas de l’Algérie
Authors: Lounaci Hakim , Mellal Ahmed , Abid Samia , Bendahmane Amina
Published: April 2024

Cet article a pour objectif de mettre en lumière le rôle important joué par les méthodes et outils mathématiques et statistiques dans le processus de prise de décision économique. Il fait office d'éditorial pour le numéro spécial de la revue. En se focalisant spécifiquement sur l'économie algérienne, les articles retenus dans ce numéro spécial font appel à une panoplie de méthodes, telles que les modèles économétriques autorégressifs et à seuils, les techniques d’optimisation, la théorie des jeux, etc. Pour chacun de ces articles retenus, nous exposerons la méthode déployée, les résultats obtenus, et les principales recommandations formulées. Ce faisant, cet article offre une vue d'ensemble sur les principales contributions et avancées relatives à l’application de ces méthodes dans l’analyse des questions ayant trait à l’économie algérienne.
contribution of linear programming to production planning - a case study of the SAIDAL - complex
Authors: Ghezghazi Mohammed
Published: April 2024

This research aims to clarify the importance of using the linear programming method in order to develop a production plan for the antibiotics branch in Medea – Sidal -. It also focuses on sensitivity analysis and how to use it in adapting the obtained program to changes in demand; As well as with the limitations of productive resources in order to comply with modern methods of management and production planning. In view of the numerical results reached, it became clear to us that the branch did not carry strategic features with regard to the production function, by virtue of the presence of several deficiencies, especially in the aspect of total production planning, and the production plan prepared by the branch does not provide that information on which control is based, given that it represents unrealistic plan; Therefore, it will not be useful in improving operations in the future.
rôle du développement financier dans le développement durable en Algérie : Une approche asymétrique par les modèles Tar et Mtar pour la période (1980-2020)
Authors: Attouchi Manel , Abdelmalek Mohammed
Published: April 2024

Cet article étudie l’impact de développement financier sur le développement durable en Algérie où les indicateurs choisis pour mesurer ces deux variables respectivement sont le crédit accordé au secteur privé ainsi que l’épargne nette ajustée en appliquant les modèles autorégressifs à seuils de transition brutale qui constituent une approche non linéaire. La période de l’étude commence par 1980 jusqu’à 2020. Les résultats montrent que le modèle autorégressif à seuil des moments (consistant) est le meilleur pour estimer le modèle à correction d’erreur, d’où les écarts positifs sont significatifs à court et à long terme contrairement aux écarts négatifs (ils sont non significatifs), ce qui confirme le rôle asymétrique que joue le développement financier dans le développement durable, car ce dernier répond le plus à une amélioration de secteur financier et il résiste contre sa détérioration. Il est recommandé aux décideurs ; d’encourager l'adoption des facilités financières grâce à une réglementation efficace et à la liquidité de fonds pour des projets durables ; et de concentrer sur l'amélioration des avantages de développement financier pour atteindre la durabilité économique.
Observatorio de Neumoconiosis de las Américas
Authors: Delgado-García Diemen , Cohen Robert A. , Suganuma Narufumi
Published: April 2024

Las Neumoconiosis aún siguen siendo un problema común en seguridad y salud en el trabajo, por la falta de información oficial sobre el número de trabajadores expuestos a agentes neumoconiógenos y antiguos trabajadores que estuvieron expuestos a estos agentes. Esta falta de datos puede dificultar la evaluación de la magnitud del problema, la implementación de medidas preventivas, la prestación de atención médica adecuada y la compensación a las personas afectadas.
Dziedzictwo Juliana Ochorowicza (1850-1917) na Śląsku Cieszyńskim
Authors: Czyż Renata
Published: April 2024

The little known legacy of Julian Ochorowicz in Cieszyn Silesia is discussed in this article. This is the region where the controversial philosopher and psychologist spent several years. The scientist conducted his research on mediumists in Wisła, where he engaged in social and scientific activities and gathered a large collection of books. The author discusses the fate of his material legacy and the endeavours of the heirs of his scientific theories. Julian Ochorowicz’s scientific achievements and thought were propagated by the people he had met personally, such as Jan Pilch and Jan Wantuła or by those associated with the esoteric centre that developed in Wisla in the interwar years (Andrzej Podżorski, Józef Chobot, Jan Hadyna). As it turns out, Julian Ochorowicz had a significant influence on teachers of folk schools who were also publishers of magazines and esoteric books in the multi-denominational Cieszyn Silesia.
Stock Price Prediction and Pattern Detection Using Deep Learning
Authors: Bhaskar T. , Kadam Vivek , Kolhe Devang , Kolhe Yashodip , Kotkar Vedant , Nangare Gaurav
Published: April 2024

Accurately predicting stock market movements remains a significant challenge, yet one that continues to attract intense interest. This project leverages data mining and warehousing techniques to explore historical stock price data, aiming to uncover recurring patterns, forecast potential future trends, and evaluate the consistency of a specific stock's behaviour relative to its identified patterns. By employing various data mining algorithms and implementing effective warehousing strategies, the project seeks to extract valuable insights that can inform investment decisions and potentially contribute to superior market performance. But among these goals are some serious obstacles. Accurate prediction is hampered by the noise and uncertainties that are present in stock market data. Furthermore, fine-tuning and experimentation are necessary to achieve optimal results when optimizing the hyperparameters of long short-term memory networks (LSTM networks). Moreover, strong preprocessing methods are required to handle datasets that contain inconsistent or missing data. Lastly, proficient data visualization and user interface design abilities are required when creating an educational and engaging dashboard with Plotly Dash.
La vulneración del derecho a la salud en el centro de rehabilitación social Turi
Authors: Vintimilla Coronel Diana María , Pozo Cabrera Enrique Eugenio
Published: April 2024

La vulneración del derecho a la salud en el Centro de Rehabilitación Social Turi (CRS) en Ecuador y América Latina es una problemática creciente que requiere atención urgente. Este centro es un ejemplo representativo de una preocupación más amplia sobre el respeto de los derechos fundamentales de las Personas Privadas de Libertad (PPL) en la región. La investigación sobre la situación en el CRS Turi revela graves deficiencias en la atención médica, con acceso limitado, escasez de infraestructura y personal capacitado, y obstáculos administrativos y de seguridad que dificultan aún más el acceso a los servicios de salud. Estas condiciones han tenido un impacto devastador en la salud física y mental de los internos, con casos documentados de falta de tratamiento para enfermedades graves y lesiones no atendidas adecuadamente. Ante esta realidad, es imperativo que las autoridades penitenciarias y los responsables de políticas implementen medidas inmediatas y efectivas para garantizar el respeto de los derechos humanos y proporcionar un acceso equitativo a la atención médica dentro del sistema penitenciario ecuatoriano y de toda América Latina. Esta intervención prioritaria es fundamental para asegurar una rehabilitación genuina y el respeto de la dignidad humana en todos los centros de reclusión.
EFFECTS OF LIME ON ALFALFA CULTIVARS YIELD ON ACIDIC SOIL
Authors:   Institute for forage crops, Kruševac, Serbia, Racić Nedeljko , Stevović Vladeta ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Zornić Vladimir ,   Institute for forage crops, Kruševac, Serbia, Petrović Mirijana ,   Institute for forage crops, Kruševac, Serbia, Prijović Mladen ,   Institute for forage crops, Kruševac, Serbia, Radović Jasmina ,   Institute for forage crops, Kruševac, Serbia
Published: April 2024

Soil acidity limits the cultivation of alfalfa and the effecting of high yields. The experiment was set up on acidic soil to determine the effect of lime (0, 1 t ha-1, 2.5 t ha-1) on forage yield of alfalfa cultivars (K-28, Zuzana, NS-Nijagara) in the year of establishment. The yield of the liming variants was higher in all three cut and total yield, compared to the control. The significant differences in yield were only in the third cut, where the K-28 (4.76 t ha-1) and NS-Nijagara (4.46 t ha-1) had a higher yield compared to the Zuzana (3.65 t ha-1 Alfalfa (Medicago sativa L.) is one of the most important forage crops, cultivated on over 33 million hectares worldwide, due to its high nutritional value and high yield (Radović et al., 2009). In the Republic of Serbia, the total growing area in 2021 was 106.340 ha, with an average hay yield of 5.1 t ha) . Interaction cultivar/lime was significant only in the first cut, while in the other two cuts and in the total yield it wasn’t.
THE EFFECT OF CLIMATE FACTORS ON MAIZE YIELD OF LATE SOWING DATE
Authors:   Institute for vegetable Crops, Smederevska Palanka, Serbia, Stojiljković Jelena , Rajičić Vera ,   University of Niš, Faculty of Agriculture, Serbia, Đurić Nenad ,   Institute for vegetable Crops, Smederevska Palanka, Serbia, Biberdžić Milan ,   University of Priština-Kosovska Mitrovica, Faculty of Agriculture, Serbia, Luković Kristina ,   Institute for vegetable Crops, Smederevska Palanka, Serbia, Perišić Vladimir ,   Institute for vegetable Crops, Smederevska Palanka, Serbia, Zečević Veselinka ,   Institute for vegetable Crops, Smederevska Palanka, Serbia
Published: April 2024

Two-year research was carried out in 2014 and 2015 on the territory of the municipality of Leskovac, on alluvium land type. In the experiment, 6 maize hybrids of different vegetation lengths 400-600 were sown (ZP 434, NS 4023, ZP 555, NS 5051, ZP 666, NS 6030). The hybrid NS 6030 (10.248 t ha-1) had the highest average yield in 2014, while the hybrid FAO group 400 NS 4023 (9.467 t ha-1) had the lowest. The highest average yield in the year 2015, unfavorable for corn production, was achieved by the hybrid FAO group 400 ZP 434 (6.938 t ha- 1 Sowing time is one of the factors that have a significant impact on the level of corn yield (Glamočlija and Ugrenović, 2016; Biberdzić et al., 2018; Stojiljković, 2022). The optimal sowing period which could be defined as the sowing time, ensures the sprouting of corn at the most favorable moment, to make use of the conditions of the growing season and form the highest possible yield (Videnović et al., 2011). To achieve high and stable yields, numerous ), and the smallest yield by hybrid FAO group 600 NS 6030 (4.980 t ha-1). In 2015, being that the average temperatures were warmer than in 2014, and it had fewer amounts and worse distribution of precipitation, late sowing had a very bad effect on all hybrids, especially on FAO 600 hybrids.
ADVANCING THE NEW RESEARCH PATHWAYS OF “NUTRIBREEDING” FOR HUMAN AND ANIMAL NUTRITION WITH HEALTH BENEFITS
Authors:   Maize Research Institute-Zemun Polje, Serbia, Nikolić Valentina , Perić Vesna ,   Maize Research Institute-Zemun Polje, Serbia, Simić Marijana ,   Maize Research Institute-Zemun Polje, Serbia, Žilić Slađana ,   Maize Research Institute-Zemun Polje, Serbia, Milovanović Danka ,   Maize Research Institute-Zemun Polje, Serbia, Sarić Beka ,   Maize Research Institute-Zemun Polje, Serbia
Published: April 2024

New pathways in grain breeding and the cultivation of nutritionally enriched crops are imposed by the world’s population expansion and trends in food and feed production, which encourage the use of functional foods with potential health benefits. A sustainable turnkey system that produces high-quality, nutritionally rich crops may be achieved by a new generation of genotypes of cereals and legumes, such as soybean and maize, that have optimal physical and chemical properties along with higher antioxidant levels due to the presence of polyphenols and anthocyanins. Generating the new research avenue called “nutribreeding” is part of the CREDIT Vibes project funded by the European Commission.
THE INFLUENCE OF EFFECTIVE MICROORGANISMS ON SOME CHARACTERISTICS OF DIFFERENT MAIZE
Authors: Stepić Vesna , Cvijanović Gorica ,   University Megatrend, Faculty of Biofarming, Serbia, Bajagić Marija ,   University of Bijeljina, Faculty of Agriculture, Republika Arpska, Đurić Nenad ,   Institute for Vegetable Crops, Smederevska Palanka, Serbia, Đukić Vojin ,   Field and Vegetable Crops Institute, Novi Sad, Serbia, Mamlić Zlatica ,   Field and Vegetable Crops Institute, Novi Sad, Serbia, Dozet Gordana ,   University Megatrend, Faculty of Biofarming, Serbia
Published: April 2024

The aim of the research was to determine the impact of the EM Aktiv preparation in the maize crop (ZP 427 and ZP 548) at 160, 120, 102 kg ha-1 N in 2017 at the location of the municipality of Vladimirovci. During the growing season, there was a pronounced water deficit. The preparation was applied in three variants: EM1 – control, EM2 – foliar 2 x 6 l ha-1 in the phenological stages of 5-7 leaves and after 15 days; EM3 – the preparation was introduced into the soil 7 days before sowing 30 l ha-1 + EM2. The mass of 1000 grains, the height of the yield and the nitrogen content in the grain were determined. Application of 160 kg ha-1 nitrogen had the greatest effect on the weight of 1000 grains, and 120 kg ha-1 The production of maize on a global level takes place in a way that affects the degradation of resources and elements of the environment, the increasing dependence on mineral fertilizers and pesticides, which leads to the production of greenhouse gases and a negative impact on climate change. Today, N on grain yield in all treatments. The treatments had a positive effect on both traits. Higher values of the tested properties were found in the EM3 treatment. The applied factors did not have a statistically significant effect onthe nitrogen content of maize grains.
COBALT FERTILIZATION IN ORDER TO PROMOTE NITROGEN FIXATION IN ANNUAL FORAGE LEGUMES
Authors:   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Tomić Dalibor , Stevović Vladeta ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Marjanović Miloš ,   University of Kragujevac, Faculty of Agronomy, Čačak, Serbia, Madić Milomirka ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Pavlović Nenad ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Đurović Vesna ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Radovanović Mirjana ,   University of Kragujevac, Faculty of  Agronomy, Čačak, Serbia, Lazarević Đorđe ,   Institute for Forage Crops, Globoder, Serbia, Petrović Mirjana ,   Institute for Forage Crops, Globoder, Serbia, Zornić Vladimir ,   Institute for Forage Crops, Globoder, Serbia
Published: April 2024

The work aimed was to analyze the importance and possibilities of using cobalt for fertilizing annual forage legumes. Cobalt in small concentrations in the soil has a positive effect on the processes of nodulation and symbiotic nitrogen fixation. Therefore, its addition as fertilizer, especially on acidic soils, has a positive effect on the growth, yield, and quality of leguminous plants. Optimum concentrations of cobalt in the soil solution vary depending on the plant species and range from 8 to 50 ppm. Higher concentrations of cobalt in most annual forage legumes result in a toxic effect.
LIGNIFICATION AS THE MAJOR FACTOR LIMITING RED CLOVER DM AND NDF DIGESTIBILITY
Authors:   Institute for forage crops, Kruševac, Serbia, Marković Jordan , Racić Nedeljko ,   Institute for forage crops, Kruševac, Serbia, Bekčić Filip ,   Institute for forage crops, Kruševac, Serbia, Lazarević Đorđe ,   Institute for forage crops, Kruševac, Serbia, Vasić Tanja ,   University of Niš, Faculty of Agriculture, Serbia, Živković Sanja ,   University of Niš, Faculty of Agriculture, Serbia, Cekić Bogdan ,   Institute for animal husbandry, Belgrade, Serbia
Published: April 2024

NDF is a good indicator of fiber content in forages, but on the other hand NDF digestibility gives more accurate estimates of total igestible nutrients. The aim of this study was to evaluate two red clover cultivars for NDF digestibility and DM digestibility depending on the stage of the development – mid bud stage, early bloom and mid bloom, harvesting in three different cuts. Results of this study showed that lignin content increased with plant maturation in all three cuts. The highest lignin content was determined in the third cut ranged from 5.87 to 5.92% and 5.56 to 6.53% in DM of K 39 and K 32 red clover cultivars. Intensive lignifications of cell wall in the third cut influenced the highest decreasing of NDF digestibility.
The Effect of The Company's Financial Performance on Company Value With The Variable of Dividend Policy Moderation in Manufacturing Companies Listed on The Indonesia Stock Exchange
Authors: Nuari Arma Trie , Elwisam Elwisam , Digdowiseiso Kumba
Published: April 2024

Firm value is very important because the high value of the firm which will be followed by higher shareholder wealth. This study aims to determine the effect on the value of the company's financial performance with the dividend policy as a moderating variable. The population in this study are all manufacturing companies listed on the IDX consecutive dividend during the period 20017-2020. The results showed that: 1) Profitability significant positive effect on firm value, 2) leverage significant positive effect on firm value, 3) Liquidity not significant negative effect on firm value 4) dividend policy is not able to significantly moderate the effect of profitability on firm value 5) dividend policy is able to significantly moderate the effect of laverage on firm value,  6) Dividend policy is able to significantly moderate the effect of liquidity on firm value.
The Intention to Use E-Commerce VS. Physical Shopping in the Post-Covid Policy in Indonesia
Authors: Pane-Citra Amelya , Ade Suwanto , Firdha Eliahannanti , Monica Harianto V.
Published: April 2024

Customers' shopping behavior since the Covid-19 pandemic have changed due to post-covid social restriction in Indonesia. This research study behavior patterns to find out consumer shopping trends in Indonesia after  Post-Covid policy as a reference for market players to grow business in online or offline stores based on drivers (UTAUT 2, herd behavior) dan barriers perspectives. The sample in this study was 487 respondents from the population of Indonesia, and sampling technique used in this research is Probability Sampling. The data was carried out by collecting questionnaires containing 51 items related to the variables in this study. The results show that Performance Expectancy, Habit, Imitating Others have a positive effect on E-commerce Intentions Variables and the Technology Fear factors has a negative effect towards Ecommerce Intention. In addition, the Privacy Risk Variable have a positive impact on the Physical Shop Intention Variable, while hedonic motivation factor has a negative impact on Physical Shop Intention. The result would have contribution for business owners to have more understanding on Indonesian market in order to develop business in e-commerce and physical stores.