bluuebunny/crossref_metadata_2025 huggingface dataset:
ARTIFICIAL INTELLIGENCE RESOURCES IN CREATING DAIRY PRODUCTS PACKAGING DESIGN
Authors: Шигорина В.Н. , Судакова О.Н.
Published: May 2024

Автор анализирует графические элементы дизайна упаковки молочной продукции, сгенерированные нейросетями; приводит примеры уникального дизайна упаковки молочной продукции и применением референсов, полученных с помощью бесплатных нейросетей; обосновывает положительные и отрицательные моменты ресурсов искусственного интеллекта при проектировании графического дизайна упаковки.

The author analyzes graphic elements of dairy product packaging design generated by neural networks; gives examples of unique packaging designs for dairy products using references obtained using free neural networks; justifies the positive and negative aspects of artificial intelligence resources when designing packaging graphic design.
USING THE «METAPHORIZATION» TECHNOLOGY IN MEDIA LITERACY TRAINING
Authors: IVANOVA Tetiana , IVANOV Valeriy , YEFREMOVA Oksana
Published: May 2024

The article is devoted to the analysis of interactive and reflective technology and its use in the process of conducting training on media literacy and critical thinking. The main approaches to the definition of the concept of «metaphorization» in the format of training and scientific categories of thinking are considered. Metaphorization in training is the use of metaphors as a powerful learning tool that promotes deeper understanding and assimilation of the material. This article discusses the role of metaphors in the training process, identifies their main functions and mechanisms of influence on participants. The authors emphasize the ability of metaphors to promote creativity, deeper comprehension of the training material, and more effective communication between the trainer and participants. Considerable attention is paid to the analysis of specific examples of metaphors that have been successfully used in trainings, as well as to the methods of creating them and adapting them to different learning objectives and audiences. The influence of cultural factors on the perception of metaphors is also considered, which requires trainers to have a deeper understanding of the cultural context of their participants. The peculiarities of approaches to the definition of the concept of metaphorization in education are analyzed. It is argued that since each person is a carrier of a special semantic space peculiar only to him or her, many elements of which are metaphorical, it is possible to distinguish a set of individual metaphors in relation to the problem or phenomena under study. On this basis, the author's original technology «metaphorization in training» was created, which has been repeatedly used by the author in working with media trainers in the process of conducting media literacy trainings. The article provides examples of creative projects of the training participants and the author's comments on the use of the metaphorization method for various aspects of media literacy. The author's generalized conclusions on each group work give a systematic view of both the process of media literacy development in our country during Ukraine's liberation war against russia and reveal the main opportunities for using this technology in the process of conducting trainings. The conclusions of the article emphasize the importance of integrating metaphors into the structure of training programs as an effective means of improving the quality of training and motivating participants.
PECULIARITIES OF THE PROPAGANDA TRANSFORMATION AS AN INSTRUMENT OF INFLUENCE IN THE METAMODERN SOCIETY
Authors: VYSOTSKA Olha
Published: May 2024

The article reveals the substantive characteristics of the transformation of propaganda as an instrument of influence, and also shows its both destructive and constructive role in the metamodern society. The importance of considering propaganda in a neutral context is determined, which allows us to describe it as an important form of directed communications aimed at changing public opinion in favor of a specific task or intention. The author reveals the positive function of propaganda as a technique of social unification, strengthening faith and ensuring social harmony. At the same time, its destructive potential as a means of manipulation and disinformation is revealed. The stages of transformation of the content, methods and forms of propaganda from antiquity to the present are described. The influence of communication means on the nature of propaganda is shown. If in the twentieth century the main instruments of propaganda were radio, cinema and television, in the twenty-first century they have become social networks. The article identifies the peculiarities of propaganda in the metamodern society, which is characterized by indirect methods of influence based on the mechanisms of seduction and soft power and includes appeals to either rational interests or irrational needs for spectacular or emotional communication. The deterritorialization of ideas and narratives in the modern digital environment creates favorable conditions for concealing propaganda and promoting it more quickly. The author identifies such mechanisms of modern propaganda as temptation, performance, reformatting of contexts, false intertextuality, and personalization of messages. While classical propaganda was vertical in nature, in the metamodern society, horizontal ties through which propaganda narratives are promoted are becoming more important. The increasing dependence of the authorities on the desires of citizens in modern democracies causes propaganda to be built on the basis of public expectations, which leads to the prevalence of populism in political decisions. The author describes the phenomenon of post-truth as a product of modern propaganda, which shapes public opinion not by using facts but by relying on emotional reactions of people. The author proves the importance of controlling the methods and strategies of propaganda in the metamodern society.
Miesto histórie vo vývoji kultúrnych vzťahov medzi Československom a Talianskom v rokoch 1948 – 1989
Authors:   Slovenský historický ústav v Ríme, Petranský Ivan A.
Published: May 2024

The topic of the article is the place of history in the development of cultural relations between Czechoslovakia and Italy between 1948 and 1989. Cultural relations are an inseparable part of bilateral relations between countries, and this is true in the case of the complicated relations between Czechoslovakia and Italy in the period from the rise of the communist regime in Czechoslovakia in 1948 to its demise in 1989. History, in its various forms, also had an indispensable place in these relations. This was due to the general fact that the regime in Czechoslovakia used historical themes and adapted their content as part of its promotional action not only for its own population but also in international relations. It was also due to the specific features of the historical development of the two countries and a number of common features. This paper deals with the wide range of traces that the question of history has left in Czechoslovak-Italian relations. First, it concerns the question of historical scientific research carried out by Slovak and Czech scholars (historians or archivists) in Italy based on a cultural interstate agreement, an agreement between academies of sciences or outside the framework of agreements, and the formal and informal relations between professional historians of both countries. Another aspect examined is the place of historical themes in cultural, popularization and propaganda activities in the form of films, lectures, exhibitions, museums, celebrations.
Language Enabled Image Originator
Authors:   Department of CSE, Jain (Deemed-to-be) University, J Akarsh
Published: May 2024

Traditionally, forensic artists would painstakingly sketch a suspect's face from a witness's statement in order to create forensic photographs. There are restrictions on this procedure, though. First, it depends a great deal on the interpretation of the artist, which can bring falsehoods and prejudices. It can also take a lot of time, particularly if the drawing needs to be refined repeatedly. Image generation is the process of creating new pictures that are comparable to the people in a certain dataset. Producing visually realistic pictures that fit the input's properties is the aim of image creation. information. Machine learning employs a number of pictures generating approaches, such as auto-regressive models, variational autoencoders (VAEs), generative adversarial networks (GANs), and stable diffusion models. These models are trained on an image dataset (for instance, 5,85B CLIP-filtered image-text pairings make up the large-scale research dataset LAION 5B) and are taught to produce new pictures that are comparable to the original data. An image generating model may be used to create a series of pictures for forensic sketching, with the witness's description serving as the basis for selecting the best image. This and the necessary face feature changes may be fed into the Image-to-Image Translation model. Until an adequate picture is produced, the picture-to-Image Translation model creates a fresh series of images with alterations. Key Words: variational autoencoders (VAEs), Generative adversarial networks (GANs),
Python Based Stress Detection System Using Machine Learning & Algorithm’s
Authors:   MES’s Wadia College of Engineering, Pune, Salgar Ashutosh
Published: May 2024

In today's high-pressure world, the need for innovative, non-intrusive stress monitoring solutions is more critical than ever. This paper introduces a sophisticated stress detection system that combines facial expression analysis with machine learning to deliver real-time, continuous stress assessment. Our system employs Haar Cascade classifiers for precise face detection, CNN for feature extraction and utilizes the K-Nearest Neighbors (KNN) algorithm to classify stress-related facial expressions. A significant advantage of our system is its non-intrusive nature, relying solely on visual data, thus eliminating the need for cumbersome wearable sensors. This enhances user comfort and convenience. This paper outlines the design, implementation, and evaluation of our stress detection system, emphasizing its potential applications in workplace wellness, mental health monitoring, and human-computer interaction Key Words: - KNN, Facial Expressions, Machine Learning, Stress Detection, Image Processing, CNN
AI Powered Contactless Fingerprint Recognition
Authors:   Dr.D.Y. Patil College of Engineering and Technology, Kolhapur, Kulkarni, Srushti
Published: May 2024

This comprehensive review delves into the realm of AI-powered contactless fingerprint recognition. We trace its evolution from traditional methods to modern contactless approaches, highlighting the pivotal role of AI and machine learning. Key topics include the principles of contactless fingerprint data acquisition, challenges like environmental variations, and privacy concerns. We examine the state-of-the-art AI techniques such as deep learning and convolutional neural networks, showcasing how they enhance accuracy and robustness in contactless fingerprint recognition. The paper also explores diverse applications, spanning security, access control, and healthcare, while addressing societal impacts and ethical considerations. Furthermore, we provide insights into ongoing research and future prospects, including potential improvements, emerging trends, and multi-modal authentication possibilities. This concise review serves as an essential resource for researchers, practitioners, and policymakers interested in the intersection of AI and biometric authentication technologies. Keywords: - AI-powered, Contactless fingerprint recognition, Biometrics, Artificial intelligence, Machine learning, Data acquisition, Deep learning, Convolutional neural networks
Adversarial Captcha
Authors:   Electronics and Computer Engineering P.E.S’s Modern College Of Engineering, Pune, India, Mirajgaonkar Soham
Published: May 2024

CAPTCHAs, tests to separate humans from machines, serve as a method to verify whether an interaction is being performed by a human or a computer, were developed in reaction to the vulnerability of computer networks to intrusions by programmers using bots and computer attack programs. The most popular Captcha scheme is the Text Captcha because of how simple it is to create and use. However, the presumed security of Captchas has been undermined by hackers and programmers, making websites open to attack.Given that attack speeds are generally moderate, usually ranging from two to five seconds per image and that this is not a serious worry, text captchas are nevertheless extensively utilized. This study proposes a novel image-based Captcha called Style Area Captcha (SACaptcha), which is built on deep learning techniques, pixel-level segmentation, and semantic data understanding.The proposed SACaptcha emphasises using deep learning to create neural networks neural networks image-based Captchas. Acquiring methods to enhance security and captcha systems are all covered in this paper.It compares the proving that text-based Captchas are insecure. Key words: deep, text-based, security, and captcha Convolutional image-based learning
Crowdfunding Platform Powered by Blockchain Technology
Authors:   Department of Information Technology, Shrimati Kashibai Navale College of Engineering,  Pune, India, Shinde Prof. Abhilasha
Published: May 2024

This research paper presents an implementation study focused on the development of a decentralized crowdfunding platform leveraging blockchain technology. The platform, named BlockchainBoost, aims to empower individuals and organizations to fund innovative projects and initiatives. Through a combination of smart contracts and decentralized finance (DeFi) principles, BlockchainBoost provides transparent and secure mechanisms for project creation, funding, and management. The implementation involves the use of React.js for the frontend interface and Ethereum smart contracts for backend functionality. Key features include project creation, backing, and tracking, as well as transparent fund allocation and payout mechanisms. The research evaluates the effectiveness of the platform in facilitating crowdfunding activities and discusses its potential impact on fostering innovation and community participation. Key Words: Decentralized Crowdfunding, Blockchain Technology, Smart Contracts, Decentralized Finance (DeFi), React.js, Ethereum, Innovation, Community Participation.
STRESS DETECTION IN IT PROFESSIONALS
Authors:   Computer Science Engineering Students, Ballari institute of technology and management, R Virupaksha Gouda
Published: May 2024

The goal of this project is to use image processing and machine learning to recognize stress in IT professionals. The aim is to monitor the mental health of people working in front of computers for long periods of time, control and reduce stress, and provide a better working environment for IT workers. This approach focuses on managing stress and creating a healthy work environment so employees can get the best out of themselves at work. The overall aim of the research is to propose a reliable, simple and accurate search. The main purpose of this study is to analyze and provide information about the stress of employees by estimating the stress of the individual according to the symptoms determined by the care. The main goal of our study is to use effective machine learning and imaging techniques to diagnose stress in IT professionals. Our system is an updated version of the original stress testing method that does not include real-time testing and in-person interviews, but does include real-time measurement and regular employee reviews and controls over time. Keep track of information/stress on body and mind by giving regular questions to check stress treatment. Our system mainly focuses on managing stress and creating a healthy working environment so that employees can make the most of stress during work. Key Words: Face Detection, Facial Emotions, Morphological Processing, Convolutional Neural Network.
Multiple Regression Based Dynamic Parking Fare System
Authors:   D Y Patil College of Engineering, Akurdi  Pune, India, Sharma Aryan
Published: May 2024

This paper explores the development of a web application for dynamic parking pricing, leveraging ReactJS, ExpressJS, MySQL, Google Maps API, and machine learning techniques. The system addresses the challenge of static parking fees by incorporating real-time data and a trained model to predict optimal parking prices. The core functionality hinges on a multiple linear regression model. This model is trained on historical parking data, considering factors such as parking space availability, time of day, base fare, air pollution levels, and user ratings. By analyzing these variables, the model predicts an accurate price for each parking space. The web application utilizes ReactJS to provide a user-centric interface. Users can search for parking spaces and view dynamic pricing in real time. Integration with Google Maps API offers a visual representation of available parking locations along with their corresponding prices. ExpressJS serves as the backend server, facilitating communication between the ReactJS front end and the MySQL database. The database stores historical parking data used for model training, along with real-time updates on parking availability and user ratings. This project contributes to the field of intelligent parking management by proposing a data-driven approach. The system promotes efficient resource allocation and user convenience through dynamic pricing based on various influencing factors. This approach aims to establish a fair and adaptable pricing structure for parking spaces, ultimately improving overall parking management. Keywords: ReactJS, ExpressJS , Google-Maps-API, Multiple Linear Regression , Dynamic Fare , Parking Management
An Analysis of the Connection Between Interest Levels and Demographic Variables Among Internet Banking Customers
Authors:   Army Institute of Management Kolkata, Bhattacharjee, Abhishek
Published: May 2024

As internet banking continues to transform the banking industry, understanding the factors that influence customers' interest levels is essential for banks aiming to improve their online services and boost customer satisfaction. This study explores the connection between customers' interest levels in internet banking and demographic variables, including age, gender, income, and education level. A mixed-method approach, utilizing both quantitative surveys and qualitative interviews, was used to collect data from a diverse group of internet banking customers. The statistical analysis revealed significant correlations between interest levels and demographic variables, providing insight into the varied preferences and behaviors of different customer segments. Furthermore, qualitative findings offer deeper understanding of the motivations behind customers' interest in internet banking. The study discusses the implications of these findings for banks seeking to customize their online banking services to better meet the needs of diverse customer groups, emphasizing the importance of personalized marketing strategies and user-friendly interface design to enhance customer engagement and satisfaction in the digital banking era. Keywords: Internet banking, IT framework, Banking system.
HAND GESTURE CONTROLLER
Authors:   (Students, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, Bhumkar Prathamesh
Published: May 2024

In this paper we present an interaction between humans and computer, gesture recognition does play a critical role. While technology has developed to such a level it made possible to communicate with computers with the Gesture Recognition system. Having reached all the best possible ways for data acquisition like cameras, hand Movement now these are of less concern. The desire for human-machine interaction is rapidly growing due to advancements in computer vision technology. Gesture recognition is used extensively in many different types of fields. It indicates that research into vision-based hand gesture recognition is an expanding field, with many studies and papers appearing on a regular basis in research publications and conference papers. Our study further assesses the accuracy with which vision-based recognition of hand gestures systems work. The three primary phases are hand shape recognition, hand tracing, and data transformation to the required command. Keywords— Deep Learning, CNN-Convolutional Neural Networks, Hand Gesture Controller, Human-Computer interaction
A Study on Working Capital Management of R.C.F Ltd
Authors:   Alamuri Ratnamala Institute of Engineering and Technology, Ram Pankajkumar Raj Narayan
Published: May 2024

This study examines the working capital management practices of R.C.F Ltd., a mid-sized manufacturing firm. The research aims to evaluate the efficiency of the company’s working capital components—accounts receivable, accounts payable, inventory, and cash management—and their impact on overall financial performance. By analyzing financial data from the past five years, the study identifies trends and key performance indicators related to working capital. The findings reveal that R.C.F Ltd. maintains a moderate level of liquidity but faces challenges in optimizing its inventory turnover and managing accounts receivable effectively. The study also highlights the correlation between efficient working capital management and profitability, suggesting that improvements in these areas can lead to enhanced financial stability and operational efficiency. Recommendations include adopting stricter credit policies, improving inventory control mechanisms, and utilizing more effective cash management strategies. This research contributes to the broader understanding of working capital management in manufacturing firms and provides practical insights for similar companies aiming to optimize their financial practices. Keywords : Working Capital Management, Financial Performance, Liquidity, Accounts Receivable, Accounts Payable, Inventory Management, Cash Management, Manufacturing Industry, R.C.F Ltd., Operational Efficiency.
CUSTOMER SATISFACTION REGARDING HONDA BIKES
Authors:   Alamuri Ratnamala Institute of Engineering and Technology, Ram Pankajkumar Raj Narayan
Published: May 2024

Customer satisfaction regarding Honda bikes is a critical aspect of assessing market performance and brand loyalty. In recent years, Honda has consistently strived to enhance customer satisfaction through various strategies encompassing product quality, after-sales service, and innovation. Key factors contributing to customer satisfaction include reliability, fuel efficiency, performance, and design aesthetics. Honda's commitment to research and development ensures the incorporation of cutting-edge technology, resulting in bikes that meet or exceed customer expectations. After-sales service plays a pivotal role in enhancing customer satisfaction, with Honda establishing a widespread network of service centers to address maintenance needs promptly. The availability of genuine spare parts further reinforces customer trust and satisfaction.Feedback mechanisms such as customer surveys and online reviews allow Honda to gauge satisfaction levels and identify areas for improvement continually. Incorporating customer feedback into product development processes enables Honda to tailor offerings to meet evolving consumer preferences effectively.Moreover, Honda's emphasis on sustainability and eco-friendliness resonates well with environmentally-conscious consumers, further bolstering satisfaction levels. Through a holistic approach encompassing product quality, service excellence, innovation, and sustainability, Honda consistently strives to foster high levels of customer satisfaction, thereby solidifying its position as a leading brand in the motorcycle industry. Keywords : Honda bikes,customer satisfaction,product quality, performance, reliability, design,affordability,after-sales service
Review Paper: “A Study on Consumer Buying Behaviour Towards HUL Products
Authors:   Alamuri Ratnamala Institute of Engineering and Technology, Mumbai University,, Bhoir Bhushan Krishna
Published: May 2024

This Study Investigates Consumer Buying Behavior Towards Products Manufactured By Hindustan Unilever Limited (HUL), One Of The Leading Fast-Moving Consumer Goods (FMCG) Companies In India. The Research Aims To Understand The Factors Influencing Consumers' Purchasing Decisions, Their Perceptions Of HUL Products, And Their Attitudes Towards The Brand. A Mixed-Methods Approach Is Employed, Utilizing Both Quantitative Surveys And Qualitative Interviews To Gather Data From A Diverse Sample Of Consumers. Analysis Of The Findings Reveals Key Demographic Trends, Including Age, Income Level, And Geographic Location, That Impact Consumer Preferences. Additionally, The Study Identifies Significant Factors Such As Brand Loyalty, Product Quality, And Pricing Strategies That Influence Consumer Behavior Towards HUL Products. The Implications Of These Findings For HUL's Marketing Strategies Are Discussed, Along With Recommendations For Enhancing Customer Satisfaction And Loyalty. This Research Contributes To The Existing Literature On Consumer Behavior In The FMCG Sector And Provides Valuable Insights For HUL And Other Companies Operating In Similar Markets.
Multiview Human Pose Estimation and Corrective Feedback
Authors:   Don Bosco Institute of Technology, Bengaluru, India                                Pin - 560074, Channabasava Dr. Ugranada
Published: May 2024

Exercise posture is a basic essential activity in people's spare time. Proper and correct exercise pose can not only help people to get a healthy body, but also help to reduce pressure and relax their mood. So, for practicing exercise a trainer is important who can guide and monitor the perfectness of different exercise poses. However, the wrong way of exercising not only makes the exercise fall short of expectations, but also causes muscle damage. Therefore, we have developed a set of human exercise posture analysis and guidance software to analyze the user's exercise posture through the video captured by the camera. This software chooses OpenPose as the basic pose estimation network, and two methods are proposed to improve the model effect. The software firstly conducts the human body posture detection, obtains the coordinate information of key points, then carries on the exercise posture analysis, and gives relevant suggestions according to the definition of the correct exercise form. Integrating computer vision techniques, the proposed system analyses the user’s human pose then based on the main knowledge of exercise, the user is guided to correct the pose. Precise recognition of exercise pose is a difficult task because of high computation and lack of availability of dataset. For the accurate detection of the exercise pose, different feature extraction and preprocessing methods are applied to the dataset which results in 97.4% accuracy just by using machine learning algorithms.
Permiso laboral retribuido para acompañamiento médico de familiar previsto en el plan de igualdad: condiciones para su reconocimiento
Authors: García Romero Belén
Published: May 2024

El Tribunal Supremo resuelve la controversia relativa a la interpretación de un precepto del Plan de Igualdad de una empresa, en la que se reconoce un permiso retribuido para acompañamiento de familiar a consulta médica. Aplicando los criterios de interpretación de los convenios colectivos, concluye que cuando se trate de hijos, hijas, padre, madre y personas dependientes, únicamente procede cuando aquellas estén cargo de la persona trabajadora.

The Supreme Court resolves the controversy regarding the interpretation of a provision of a company's Equality Plan, which recognises paid leave for accompanying a family member to medical care. Applying the criteria for the interpretation of collective agreements, it concludes that in the case of sons, daughters, fathers, mothers and dependents, it is only applicable when they are in the care of the worker.
Genetic Predictors of Longevity and Healthy Aging
Authors: Ukpene Anthony O.
Published: May 2024

This paper aimed to investigate the interplay between the genetic and epigenetic impact of the environment on longevity and health outcomes, as well as to uncover specific markers for and interventions into individuals' longevity and health span. The data comprised 15 participants and included rs2802292 (FOXO3) and rs7412 (APOE) genetic variants as well as epigenetic modifications, exposure to environments, and health outcomes. We also found that 12.345% of the sample carried the FOXO3 variant rs2802292 on chromosome 6, which was associated with an average lifespan of 89.567 years. Healthy diet and exercise demonstrated the strongest correlation with increased lifespan, with adherents to a healthy diet averaging 88 years. Dietary demands include maintaining a healthy diet and engaging in regular exercise, but the relationship between specific diets and longevity has received relatively little attention. Many epigenetic-associated alterations, such as DNA methylation and histone acetylation, have an impact on telomere length and, moreover, on the levels of oxidative stress. Studies such as the one conducted through statistical tools such as ANOVA t-tests and regression analysis indicate the following: a set of beneficial genes in combination with healthy lifestyles and therapeutic interventions can significantly add to life span and life health span. These findings mean that aging is a holistic process and that the decision to promote overall health is crucial for people at different stages of life.
Europa frente al reto regulatorio del derecho la desconexión digital
Authors: CARDONA RUBERT MARÍA BELÉN
Published: May 2024

En estos momentos, la mayoría de los estados europeos disponen de su propia normativa relativa al teletrabajo, sin embargo, la regulación del derecho a desconectarse de los dispositivos digitales no siempre está presente en ella, como mínimo, es heterogénea y desigual, sin que pueda identificarse un sustrato mínimo común que garantice un umbral homogéneo de garantías para su efectividad y, en consecuencia, para los derechos a él asociados.
No existe en la Unión Europea un marco jurídico unitario que defina y regule directamente el derecho a la desconexión digital, tan solo un marco regulatorio inespecífico que resulta a todas luces insuficiente e inadecuado para hacer frente a las transformaciones de las relaciones laborales en el contexto digital. Se requiere, por tanto, una directiva que establezca requisitos mínimos comunes que garantice el derecho a la desconexión digital y que impulse su incorporación efectiva en las legislaciones propias de los Estados miembros. En este texto se analiza cuáles son los retos a los que la futura Directiva sobre el derecho a la desconexión digital tendrá que hacer frente, retos vinculados al tiempo de trabajo, a la conciliación de la vida personal o familiar, a la salud de los trabajadores y al derecho a la intimidad y la protección de datos; así como si la redacción propuesta es adecuada para resolver las cuestiones relativas al ejercicio del derecho a la desconexión o, si por el contrario, la norma propuesta no resulta suficiente y completa y se debe recurrir a otras fuentes de derechos y obligaciones.
España, inmigración y reformas normativas: retos y resultados de la presidencia española del Consejo de la Unión Europea en 2023
Authors: CAMAS RODA FERRAN
Published: May 2024

El trabajo presentado por el Pr. Camas Roda analiza tres campos de estudio básicos: la realidad de la inmigración en España con la vista puesta en reformas normativas para solucionar sus principales problemas; los retos que España debe abordar durante su presidencia del Consejo de la Unión Europea en el segundo semestre de 2023 y finalmente la evolución de las reformas emprendidas por la Unión Europea que ha tenido como resultado principal la adopción de un acuerdo sobre la reglamentación a aprobar en materia de situaciones de crisis ante flujos migratorios, la instrumentalización de las personas migrantes con ese fin, o que deriven de fuerza mayor.
E-BELEDİYECİLİK UYGULAMALARI KAPSAMINDA MARDİN VE ŞANLIURFA BÜYÜKŞEHİR BELEDİYELERİNİN WEB SAYFALARINA YÖNELİK KARŞILAŞTIRMALI BİR ANALİZ
Authors: Mardinli İsmail , Çelik Abdullah
Published: May 2024

Bilgi iletişim teknolojilerinde yaşanan gelişmeler ile birlikte yerel hizmet sunumunun dijital ortama taşındığı çağda, belediyelerin hizmet sunumunda verimlilik, etkinlik, şeffaflık, hesap verebilirlik ve kesintisiz hizmet sunumu gibi amaçlar için dijital araçlardan yararlanma isteği e-belediyecilik kavramını ortaya çıkarmıştır. Vatandaş odaklı hizmet ve katılımcı bir yönetim anlayışı için hayati öneme sahip e-belediyecilik uygulamaları Türkiye’de 2000’li yıllardan itibaren yaşanan dijital dönüşüm ile ortaya çıkmıştır. Başlangıçta merkezi projeler ile hizmetlerini dijital ortama taşıyan belediyeler zamanla kendi web sitelerini oluşturarak e-belediyecilik hizmetlerini kendi web sayfaları üzerinden yerel halkın erişimine sunmuştur. Bu çalışmada Mardin ve Şanlıurfa Büyükşehir Belediyelerinin dijital ortamda sundukları e-belediyecilik hizmet ve uygulamalarının karşılaştırmalı olarak analiz edilmesi amaçlanmıştır. Yorumsamacı içerik analizi yöntemi ile tasarlanan bu çalışmada, araştırmaya konu olan büyükşehir belediyelerinin web siteleri, “içerik”, “kullanılabilirlik”, “hizmet/servis”, “gizlilik/güvenlik”, “yurttaş ve sosyal etkileşim” ile “operasyonel”, “formel”, “enformasyonel” ve “stratejik yeterlilik” değişkenleri açısından analiz edilmiştir. Çalışma sonucunda her iki büyükşehir belediyesinin web sitelerinin söz konusu değişkenler açısından bazı temel eksikliklere sahip olduğu görülmüş ancak Mardin Büyükşehir Belediyesinin web sitesi üzerinden sunduğu e-belediyecilik hizmetlerinin Şanlıurfa Büyükşehir Belediyesine kıyasla söz konusu değişkenler açısından daha yetersiz yapıda olduğu anlaşılmıştır.
A formação do docente universitário e seus reflexos no ensino e no perfil da formação profissional
Authors: Caldas Morgana Bada , Volpato Gildo
Published: May 2024

O presente artigo de revisão objetiva compreender a formação dos professores universitários e os reflexos dela na formação profissional para além das habilidades técnicas específicas da profissão, mas em sentido ao desenvolvimento de um cidadão crítico que seja pessoal e profissionalmente comprometido com a melhoria da qualidade de vida e das relações sociais que o circundam. Analisando-se as circunstâncias históricas que permeiam a trajetória da universidade brasileira em favor de uma formação tecnicista, denota-se, consequentemente, a ausência de formação pedagógica da maioria dos professores que atuam no ensino superior. Tal fato acaba por fomentar as práticas atuais de ensino, que apenas reproduzem a maneira como estes docentes foram formados, mantendo-se o acadêmico como mero receptor de conhecimentos prontos e acabados. Por fim, este estudo traz elementos para uma reflexão acerca da importância de uma rede coletiva de esforços, composta por professores, instituições de ensino e políticas legislativas, que busque a superação da lógica atual de seleção e formação dos professores universitários, em direção à elaboração de condições para um ensino superior que propicie uma formação profissional crítica ao estudante.
Políticas públicas de educação: a crise do Welfare State e a ascensão do Neoliberalismo no Brasil
Authors: Melo Donizete Medeiros de , Diógenes Elione Maria Nogueira
Published: May 2024

Este texto aborda a transição do Estado de bem-estar social no mundo, trazendo uma análise para a conjuntura brasileira a partir da década de 1990, em que se tem a ascensão do neoliberalismo no Brasil com impactos nas políticas educacionais. O objetivo foi debater o fim do Welfare State nos países desenvolvidos, e suas influências na reformulação da economia global, trazendo à ruptura do Estado interventor no Brasil nas décadas seguintes a 1980, dando origem às reformas do Estado. A metodologia utilizada foi o materialismo histórico-dialético, partindo de duas categorias centrais que embasaram e nortearam o estudo: a primeira é a história como ponto principal para a compreensão da sociedade humana como resultado histórico-dialético; a segunda é a compreensão materialista da sociedade, a partir de Marx (1999). Aponta para a escalada da doutrina neoliberal a partir dos anos 70 e sua implementação com reformas do Estado brasileiro que buscam a redução da intervenção estatal, intensificando-se as parcerias público-privadas. Assinala a influência do capital financeiro e a reconfiguração da economia interna em alinhamento com o mercado global. Conclui que as políticas educacionais refletem a submissão aos interesses capitalistas, evidenciando uma estrutura educacional voltada para a lógica do capitalismo neoliberal.
Pigmented radish (Raphanus sativus): Genetic variability, heritability and interrelationships of total phenolics, anthocyanins and antioxidant activity
Authors: SINGH B K , KOLEY T K , KARMAKAR PRADIP , TRIPATHI AJAY , SINGH BIJENDRA , SINGH MAJOR
Published: May 2024

Radish (Raphanus sativus L.) is an important salad vegetable grown and consumed throughout the world for fleshy roots which has numerous categoriesâ€“ varying in root colour, size, shape and flavour. The uses of coloured radishes in the salads and their anthocyanins as colourants are gaining popularity because of the colour characteristics, health benefits as well as antioxidant activities. However, information on the genetic variability, heritability and inter-relationship of total phenolics, anthocyanins and antioxidant activities in pigmented radish is very limited, but pre-requisite to initiate breeding programme; and therefore investigated in the present study. Radish genotypes were significantly diverse for all the antioxidants; differed by 4.98-fold for total phenolics, 36.16-fold for anthocyanins content, 4.96-fold for FRAP activity and 4.03-fold for CUPRAC activity; and the genotypes accounted for >97% of total variations. The meager differences between phenotypic and genotypic coefficient of variation reveals the greater role of genotypes and lesser influence of the environment on the biosynthesis and accumulation of antioxidants. Significantly positive correlations along with higher magnitude for anthocyanins content, total phenolics, FRAP activity and CUPRAC activity (r= 0.823 to 0.964) could be used as indirect selection criteria for improving levels of antioxidant compounds. The estimates of heritability and genetic advance indicate the role of additive and non-additive genes for biosynthesis of antioxidants and root development, respectively; therefore, recurrent selection would be the best breeding approach to improve both the traits simultaneously in coloured radish.
Structural Violence in the Anthracite
Authors: Shackel Paul A.
Published: May 2024

This chapter provides an overview of the concept of structural violence first introduced by Johan Galtung (1969). He insists that we examine the roots of different forms of power and understand the long-term, generational consequences of structural violence. The political and social construction of race allowed for racial hierarchies. Therefore, exploitation is codified in scientific and scholarly literature and government documents like The Report on Immigration (US Senate 1911). These documents reinforced the public understanding of perceived superior and inferior races and subsequently exploited the newest immigrants to the anthracite region. A historical perspective of the region’s structural violence allows for understanding the current population’s generally poor health and well-being.
A Study on Suitable Bulk Packaging for Fresh Agricultural Products
Authors:   Federal Agricultural Marketing Authority, (FAMA), Malaysia, Nik Wan Noh , Abd Ghani Siti Mariam ,   Federal Agricultural Marketing Authority, (FAMA), Malaysia, Mohamed Mohd Fadzli ,   Federal Agricultural Marketing Authority, (FAMA), Malaysia, Said Rusmawati ,   School of Business and Economics, Universiti Putra Malaysia, (UPM), Malaysia, Abdul Halim Lim Sarina ,   Faculty of Food Science and Technology, Universiti Putra Malaysia, (UPM), Malaysia, Kamarulzaman Nitty Hirawaty ,   Faculty of Agriculture, Universiti Putra Malaysia, (UPM), Malaysia.
Published: May 2024

This paper aims to investigate suitable packaging for large and bulky agricultural products and to suggest recommendations to enhance packaging-based types of products. Packaging of agricultural products plays a vital role in protecting products from damage and facilitating transportation activities. In Malaysia, regulations for packaging purposes have been outlined under the Grading, Packaging, and Labeling of Agricultural Products (GPL) Regulations enacted under Section 3(2) (c) of Act 141 for the target group, namely manufacturers, wholesalers, exporters, importers, and retailers. However, standard agricultural product packaging practices among these players are not only unable to provide maximum protection in terms of quality, hygiene, and durability, but have negative impacts on agricultural products. There is also a non-compliance issue for bulk packaging weights exceeding 30 kilograms, especially large-sized agricultural products. This research provides a comprehensive, up-to-date review of bulk packaging of fresh agricultural products from the point of view of materials use, cost, and packaging weight. A total of 189 respondents, represented by wholesalers and exporters, were selected. This study found that bulk packaging used by most wholesalers for large-sized fruits in the domestic market must comply with the weight outlined by the GPL regulations. However, all exporters follow the GPL and importing countries' rules. This study also found that Thailand, the Philippines, Vietnam, and Japan mainly used plastic baskets, wooden pallets, and corrugated cardboard boxes and packaging for fresh agricultural produce widely used for export activities. However, the type and packaging materials used varied according to the type of agricultural product.
Decoding Agripreneurship: Understanding the Factors that Shape Entrepreneurial Intentions in Agriculture Using the Theory of Behavioral Control
Authors:   Faculty of Business, Design and Arts, Swinburne University of Technology Sarawak, Kuching, Malaysia, Wei En Gabriel Wee , Shou Hui Irving Ting ,   Faculty of Business, Design and Arts, Swinburne University of Technology Sarawak, Kuching, Malaysia
Published: May 2024

Utilizing the Theory of Behavioral Control as a conceptual framework, this study investigated the variables that drove individuals to pursue agripreneurship. Agripreneurship, defined as the application of entrepreneurial concepts to agricultural practices, had garnered interest as a means of achieving both food security and sustainable economic growth. The Theory of Behavioral Control underscored the significance of perceived control over behavior in influencing intentions and actions. A quantitative approach was employed in the investigation. Prospective entrepreneurs were interviewed using a quantitative method to assess their perceived behavioral control and identify the specific variables that exerted a significant influence on their choice to pursue agripreneurship. The results yielded valuable insights into the factors impacting individuals' decisions to embark on agripreneurial ventures. By examining the relationship between perceived behavioral control and entrepreneurial aspirations, while considering both covert and overt variables, the study contributed to the existing body of research. The findings served as a valuable lesson for policymakers, educators, and support organizations, highlighting the importance of enhancing perceived control elements to motivate and assist potential agripreneurs. Stakeholders could design targeted interventions aimed at improving people's perceptions of control and fostering an environment conducive to successful agripreneurship, drawing insights from the factors that influenced individuals' decisions to enter the field
KASAS SURESİNDEKİ KIRAAT FARKLILIKLARI VE MEÂLLERE YANSIMASI
Authors: Çetin Metin
Published: May 2024

Kur’ân’ın okunuşuyla ilgili ihtilafları, telaffuz ve eda keyfiyetlerini nakledenlere isnat ederek bilmek kıraat ilminin temelini oluşturmaktadır. Kur’ân’ın farklı kıraatlerle okunmasının en temel sebebi ise yedi harf ruhsatı olarak görülmektedir. Mana zenginliği ve ilmi derinlik kaynağı olarak değerlendirilen farklı kıraatlerin meâllerde göz ardı edilmesi, kimi manaların okuyucuya aktarılamamasına ve anlam zenginliğinin ortadan kalkmasına neden olmaktadır. Bu araştırmanın konusu kıraat-ı aşere bağlamında Kasas suresindeki ferşî farklılıkların meâllere yansıyıp yansımadığının tespit edilmesidir. Bu surenin seçilmesinde özel bir sebep bulunmamaktadır. Söz konusu suredeki ferşî farklılıkların meâllere yansıyıp yansımadığı geniş bir meâl taraması yapmak suretiyle tespit edilmeye çalışılmıştır. Bu tespit için öncelikle, suredeki ferşî kıraat farklılıklarının hangi ayetlerde meydana geldiği ortaya konmuş; daha sonra da bu kıraat farklılıklarının hüccetleri üzerinde durulmuştur. Akabinde tefsirlerinde kıraat farklılıklarına yer veren ve yorumlarını kıraat farklılıklarını göz önünde bulundurarak yapan müfessirlerin eserlerine başvurulmuştur. Bu kaynak taramasından sonra suredeki kıraat farklılıkları çeşitli meâller bazında tetkik edilmiştir. Bu tetkik neticesinde suredeki kıraat farklılıklarının bazı fiillerin sülasi veya if’âl babında okunmasından, bazı fiillerin malum-meçhul, müzekker-müennes, merfû-meczûm okunmasından; bazen isim veya ism-i fâil okunmasından, bazen aynı kelimenin farklı lehçelerdeki kullanım biçiminden, bazen kelimedeki isbat-hazifle ilgili bazen de kelimenin gaib veya muhatab sigasıyla okunmasından kaynaklandığı tespit edilmiştir. Netice itibariyle bazı kıraatlerin, ayetlerin anlamını etkileyip değiştirdiği ortaya konmuş, bu anlam değişikliğinin de kimi meâllere yansıdığı görülmüştür. Kimi meâllerin ise kıraat farklılıklarını gözetmedikleri malum olan ilk kıraati tercih ettikleri müşahede edilmiştir. Bazı meâllerde ise kıraat farklılığı kaygısından daha ziyade, meramı doğru ifade edebilmek için Türkçedeki en uygun kelime tercih edilme yoluna gidilmiştir. Doyurucu bir meâl çalışması için farklı kıraatlerin metin içinde veya dipnotta gösterilmesinin yararlı olacağı kanısına varılmıştır.
RACISME ET DISCRIMINATIONS EN SANTE
Authors: DAPVRIL C , CASWALLADER JS
Published: May 2024

D’après une communication de Sarraouinia Gakunzi (Sorbonne Université, Paris) Le racisme et les discriminations ont un impact important sur la santé et l’accès aux soins. En 2015, une méta-analyse montrait que le racisme était associé à une moins bonne santé mentale1. La pandémie du Covid-19 en 2020 a également révélé des inégalités de santé liées aux discriminations sociales et ethniques2. À Sorbonne Université, un enseignement sur le racisme et les discriminations en santé a été mis en place, à destination des étudiants de 3e cycle (E3C) de médecine générale en deuxième année, pour développer la compétence professionnalisme.
The Teaching of International Law in Higher Institutions in the SADC Region
Authors: Maruma Kholofelo
Published: May 2024

This paper explores the epistemic and pedagogical considerations in the teaching of international law in Southern African Development Communities. It aims to address various aspects of teaching international law, including innovative teaching methods, integrating technology, the role of case studies and simulations, assessment, and evaluation, pedagogical challenges and opportunities, theoretical and practical perspectives, global perspectives, teaching in non-traditional settings, and the role of international law in multi-, inter-, and trans-disciplinary education. By examining these areas, the paper seeks to contribute to the advancement of effective and comprehensive approaches to teaching international law in higher education