bluuebunny/crossref_metadata_2025 huggingface dataset:
Robotics and Automation
Authors: Bhardwaj Aditi , Kumar S. Vijaya , Vinukonda Anjaneyulu , Ramakrishna K. , Srivastava Shivam , Rajendran Senthil Prabhu , Sharma Pankaj
Published: February 2025

Research and development (R&D) across a range of sectors is being profoundly transformed by the emergence of robots and automation. This chapter examines the significant effects of these technologies on research and development procedures, emphasizing the ways in which automation and robots improve productivity, accuracy, and creativity. Increased repeatability of outcomes, real-time data processing, and high-throughput experiments are made possible by the integration of robotic systems in lab and industrial settings. Cutting-edge robotics, including autonomous systems and collaborative robots (cobots), is propelling progress in industries like biotechnology, medicine, materials research, and manufacturing. Integrating robots and automation will be essential for sustaining a competitive edge and promoting environmentally friendly innovation as we traverse the future terrain of scientific inquiry. In order to revolutionize research and development, this chapter attempts to give a thorough overview of the status of robotics and automation today and in the future.
Enhancing Industrial Equipment Reliability Through an Optimized ANN-Powered Predictive Maintenance System
Authors: Mewada Hiren K. , Bhatt Nirav , Bhatt Nikita
Published: February 2025

Maintaining industrial equipment ensures efficiency, reduces downtime, and prevents costly failures. Routine inspections or equipment's reactive response breakdowns may not be efficient and it can cause unexpected failures. This chapter presents an automated framework for predictive maintenance using ANN. The independent parameters including air temperature, torque, rotational speed and tool wear are used to estimate the failure of equipment. The proposed ANN network is initially optimized by tuning its hyperparameters i.e. hidden layers, learning rate and regularization parameter. Later optimized ANN is validated using quantitative parameters i.e. accuracy, precision, recall and F1-score. The optimized ANN succeeded with 98% accuracy in equipment failure prediction. This real-time predictive maintenance can improve equipment reliability with reduction in maintenance cost and boost industrial efficiency. The framework can be customized and integrated with a maintenance management system further to meet the demand of various industrial equipment and to prevent a shutdown of machinery.
From Lab to Stream
Authors: Mir M. Amin , Andrews Kim
Published: February 2025

In the past ten years, research on water contamination has given considerable attention to nanomaterials. Their unique benefits—most notably, their greater surface areas in comparison to macro particles and their versatility through functional group modification—are what are driving this interest. Because of these characteristics, nanoparticles are very efficient sorbents. The removal of many contaminants from surface and groundwater, such as cations, organic pollutants, natural organic matter, biological contaminants, nitrates, and arsenic, has been achieved through the widespread adoption of nanofiltration technology. Meanwhile, nano-sorbents and nano-membranes, which are utilized for filtering and purification, have emerged as key components of water treatment. Researchers used cutting-edge equipment such as SEM, TEM, FT-IR, and AFM to successfully synthesize and characterize nano-agglomerates of mixed oxides such as iron-cerium, iron-manganese, iron-zirconium, iron-titanium, iron-chromium, and cerium-manganese, which have shown promise in water treatment applications.
Towards Critical, Digital, and Sustainable Literacy Through Literature
Authors: Alexandropoulos Georgios
Published: February 2025

This chapter presents the pedagogical approach to Greek literature, focusing on teaching equality through folk songs about migration, sustainability regarding hunger, and moral values, as featured in the Texts of Modern Greek Literature for 2nd grade Gymnasium. The approach fosters students' critical and digital literacy, enabling them to explore ethical virtues conveyed in Greek literary texts. The aim of teaching Modern Greek Literature is to support students' intellectual development, particularly their aesthetic, linguistic, social, and moral cultivation. By immersing students in reading and analysing literary texts, it seeks to enhance their expressive abilities, develop aesthetic judgement, expand their experiences, and foster a deeper appreciation for literature. Digital tools used by students included Web 2.0 applications, electronic dictionaries, ChatGPT, Picsart, Craiyon, AI Image Generator, and Voyant Tools.
Intelligent Agents in Education as the New Frontier of Intelligent Computing
Authors: Diaz-Parra Ocotlán , Ruiz-Vanoye Jorge A. , Marroquín-Gutiérrez Francisco , Salgado-Ramírez Julio C. , Ramos-Fernández Julio C. , Xicoténcatl-Pérez Juan M. , Trejo-Macotela Francisco R.
Published: February 2025

The integration of intelligent agents in education is transforming traditional teaching and learning models, driving the shift toward personalised learning in the 21st century. By utilising AI, machine learning, and data-driven technologies, these agents tailor educational experiences to individual student needs, boosting engagement and improving learning outcomes. However, their deployment raises challenges such as data privacy, equitable access to technology, and the need for transparency in algorithms. Thoughtful planning is essential to ensure these tools are used ethically and inclusively, benefiting both students and educators. Intelligent agents also hold promise for streamlining administrative tasks, enhancing feedback, and promoting collaboration. Yet, without careful evaluation, their potential may be underutilised. As education continues to evolve, intelligent agents offer a pathway toward more dynamic, accessible, and personalised learning environments.
Global Policies and Smart Education
Authors: Rodríguez-Flores Jazmín , García-Márquez Marco Antonio , Martínez-Mireles Josué Román , Austria-Cornejo Arturo , Vera-Jimenez Marco Antonio
Published: February 2025

The advancement of technology has made digital education a vital tool for global access to quality education, making it necessary to have comprehensive regulations and public policies to ensure ethical use. These protect the rights of students and educators, data confidentiality and institutional integrity, while promoting equity and inclusion. Global efforts are focused on developing regulatory frameworks and integrating policies to improve the quality of education across borders. New education policies, such as the UN Sustainable Development Goals, highlight the potential of technology to improve education. This study examines the challenges and opportunities of integrating global education policy with technology to improve educational outcomes around the world, with the participation of policymakers, educators, and technology specialists. Reviewing the European Union, Latin America, and nations with the highest educational standards such as Finland, South Korea, and Singapore.
Global Case Studies
Authors: Martínez-Mireles Josué Román , García-Márquez Marco Antonio , Cornejo Arturo Austria , Rodríguez-Flores Jazmín
Published: February 2025

This chapter presents and analyses five cases of Smart Education implementation in Finland, Singapore, the United States, Japan, and Canada. Each case covers the educational and cultural context, providing an overview of the educational system and key factors influencing technology adoption. The implementation of technologies, including Artificial Intelligence (AI), augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), is described, alongside the strategies used. The impacts and benefits are examined, highlighting improvements in learning, personalisation, and efficiency in school management. A comparative analysis identifies common factors and key differences. Lessons learned and best practices are extracted to guide other Smart Education initiatives. Recommendations and reflections on adapting these practices to various educational contexts are provided. This approach offers a deep understanding of how Smart Education can transform education, contributing to more equitable, inclusive, and effective systems.
Optimizing AI Through Data Mining and Statistical Tools for Enhanced Model Performance
Authors: Vikram G. , Kadam Swaraj Satish , Mishra Rajnish Kumar , Narasimha Rao M. V. A. L. , Prasanna Venkatesh R. , Karthick L.
Published: February 2025

The rapid evolution of Artificial Intelligence (AI) has been inextricably linked with advances in data processing, especially through techniques such as data mining and statistical analysis. As AI systems become more complex and integrated into various industries, optimizing these systems for better performance becomes essential. Data mining and statistical tools play in improving AI models, focusing on methods such as feature selection, dimensionality reduction, and regression analysis are explored in this work. By analyzing different optimization strategies, including data preprocessing, model evaluation, and hyper parameter tuning, the paper demonstrates how to enhance AI accuracy and computational efficiency. In addition, the paper examines practical applications in sectors like healthcare, finance, and manufacturing, where optimization directly impacts real-world performance. The proposed optimization framework helps to solve the disconnect among theoretical models and practical implementation, offering actionable insights for developing robust and efficient AI systems.
Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations
Authors: Nair Arjun J. , Satish Rao A. B.
Published: February 2025

This chapter undertakes a thorough and sophisticated exploration of the intricate and perpetually evolving landscape of big data utilisation in the realm of fraud mitigation within the financial services industry. It rigorously evaluates the transformative capacities of big data analytics in addressing the increasingly elaborate nature of fraudulent activities, with particular focus on the imperative issues of data privacy, security, regulatory conformity and scalability. Through an exhaustive and detailed analysis, the chapter illuminates the critical significance of advanced technological frameworks, including artificial intelligence, machine learning, blockchain and the Internet of Things, in enhancing the efficacy of fraud detection and prevention. The discourse further delves into the essential roles played by behavioural analytics, anomaly detection and real-time processing systems in the identification and curtailment of fraudulent actions.
Green Finance Enablers
Authors: Butt Shamaila , Ashfaq Muhammad , Chohan Muhammad Ali , Ramakrishnan Suresh , Shahzad Muhammad Farrukh , Almazyad Tareq
Published: February 2025

The concept of green finance evolved over time as a result of growing global concern about environmental protection and climate change. Researchers are focusing on green finance for an innovative and sustainable transformation of their financial systems. In this study, we use bibliometric data to explore the scholarly evolution and development of green finance over the period of 1981 - 2022 via the Scopus database using VOS Viewer and the Bibliometric R Software. The research key themes included were macroeconomic enablers, regulatory structure development, an investment-friendly environment, capacity building, an increase in institutional engagement levels and types, technology and technological advancements, financial instruments, financial policies and regulations, a thriving capital market, and a politically supportive environment. This study is one of the earliest investigations of the origins and progression of green finance and its enablers and broadens understanding and also creates new research opportunities.
India
Authors: Phukan Nikita Baruah , Patil Shweta V.
Published: February 2025

Sustainable development, a concept that requires apt understanding of economic development with environmental protection and social outlook. Discover aspects that led to India, adopting policies to effectively attain long-term sustainability. Reflecting unto history, marking the start of extensive change, as observed after the period of the global pandemic. Adaptability is a skill, displayed by those who have the ability to detect and tackle the flaws, to thrive in the long run. This chapter delves into an intricate play between how sustainability is obtained by studying consumer behaviour, which is shaped by the society; opinions can be changed with external influences and how policymakers can make use of this understanding to base various schemes while keeping in mind the impact it has on economic, technological and societal advancements. This chapter will look into the above while referencing it to a diverse country (India) in terms of sociological factors, brief history and technological advancements, while trying to discover new ways in which policy makers can approach research.
Accuracy Test of an Open-Loop Control System for Arduino-Based Robotic Arms with a PLA+ 3D-Printed Body for Repetitive Tasks
Authors: Suryadarma Engelbert Harsandi Erik , Laksono Pringgo Widyo , Priadythama Ilham , Sudirman Lobes
Published: February 2025

This study presents the design and accuracy testing of an open-loop control system for an Arduino-based robotic arm, featuring a 3D-printed body made from PLA+ material. The robotic arm is engineered to perform repetitive tasks, which demand high precision and reliability. The use of PLA+ offers a lightweight yet durable structure, essential for maintaining the integrity of the robotic arm during extended operations. The open-loop control system, while simpler and more cost-effective than closed-loop alternatives, poses challenges in terms of accuracy due to the lack of feedback mechanisms. A comprehensive accuracy test was conducted to evaluate the performance of the robotic arm in executing predefined repetitive tasks. The results demonstrate the robotic arm's ability to achieve a high degree of precision under specific conditions, making it a viable solution for repetitive industrial tasks where cost-efficiency and ease of implementation are prioritized. However, the absence of real-time feedback in the open-loop system limits its adaptability in dynamic environments or tasks that require continuous adjustments. Future work could explore integrating feedback mechanisms to enhance the system's accuracy and adaptability, expanding its application potential. This research contributes to the growing field of low-cost, 3D-printed robotic systems, highlighting the potential of open-loop control in applications that do not require real-time feedback.
Green Technology Implementation: Manufacture and Utilization of Coconut Liquid Bioethanol in Lawn Mowers
Authors: Allo Bartolomeus Rante , Ngganggu Yosta Laurentius
Published: February 2025

The manufacturing industry should implement green technologies to reduce carbon emissions and improve energy efficiency. The use of bioethanol as an alternative fuel is one example of a successful green technology. This article discusses the use of green technology by making bioethanol from coconut liquid and testing it on a lawn mower. The aim of this experiment is to produce bioethanol from coconut liquor, which can be used as an environmentally friendly fuel. The results show that coconut liquid can be used as an efficient and environmentally friendly fuel alternative. The lawn mower uses a fuel mixture of pertalite and bioethanol, consisting of 90% pertalite fuel and 10% coconut liquid bioethanol. The tool used to produce coconut liquid bioethanol can produce a maximum bioethanol content of 38%.
Evaluation of hygienic food handling practices and associated factors among food handlers in the Amhara region, Ethiopia: a systematic review and meta-analysis
Authors: Fenta Lamenew , Tadesse Kebadu
Published: February 2025

Foodborne illnesses as a result of poor food handling practices pose a significant threat to public health. The main objective of this systematic review and meta-analysis was to pool the level of hygienic food handling practices among food handlers working in public food establishments in the Amhara region, Ethiopia. An inclusive search of databases was undertaken using PubMed/MEDLINE, SCOPUS, Web of Science, and Google Scholar from the 1st of January 2014 to the 30th of December 2023. Data was collected and entered into Excel and finally exported to Stata V.17 for analysis. Eyeball testing using forest plots, Cochrane Q test statistics and I² had been used to identify and measure heterogeneity. The pooled prevalence of hygienic food handling practices was estimated using a random effects model. The pooled prevalence of hygienic food handling practices of food handlers in the Amhara region was 48% [95% confidence interval (CI): (43%, 53%)] with significant heterogeneity (I2=94.39%, p<0.05). Food handlers who have more than 2 years of food preparation experience [odds ratio (OR) = 3.51; 95% CI (2.64, 4.38)] and who got food preparation training [OR=2.14; 95% CI (1.06, 3.22)] were significantly associated with good food handling practice in the Amhara region. The pooled prevalence of hygienic food handling practices was low in the Amhara region, Ethiopia. This review indicated that a high level of experience and training in food preparation were the determinants of good food handling practices in the region. This finding can be used by policymakers, non-governmental organizations, and stakeholders for intervention and regulatory measures.
Reducing anxiety and enhancing confidence in paediatric patients through visual schedules
Authors: Koekemoer Gert C. , Kuyler Ariné , Johnson Ensa , Van Zijl Karen , Terblanche Alta J. , Masuku Khetsiwe P. , Bornman Juan
Published: February 2025

Hospitalisation can induce anxiety and trauma in children, complicating their medical experience. Exploring the role of visual schedules as a supportive strategy reveals that these schedules can significantly reduce stress during medical procedures. By providing clear and structured guidance, visual schedules improve communication, foster patient engagement and create a sense of predictability, thereby enhancing the overall patient experience. When tailored to individual needs, they help children navigate healthcare settings with greater confidence. Effective staff training is crucial for successful implementation, ensuring that paediatric patients receive the maximum benefits.
A Qualitative Analysis of the Driving Forces behind the Nikshay Mitra in National Tuberculosis Elimination Program of India
Authors: Nath Ravindra , Debnath Aninda , Rathi Vidushi , Ish Pranav , Sinha Kanishk
Published: February 2025

ABSTRACT

Introduction:

The Nikshay Mitra initiative under our national program in India allows citizens to adopt and support tuberculosis (TB) patients by providing additional nutritional, diagnostic, and vocational assistance.

Materials and Methods:

This study is a cross-sectional qualitative analysis based on data extracted from the Central TB Division website, which houses feedback from Nikshay Mitras who adopted TB patients.

Results:

Thematic analysis carried out identified five major themes that serve as the reason for motivations for citizens to become Nikshay Mitras: altruism and compassion, professional responsibility and knowledge, government initiatives and national duty, personal experience with TB, and addressing TB stigma.

Conclusions:

The motivations to become Nikshay Mitras are diverse, ranging from compassion for the poor to professional responsibility and a desire to support national health goals. These factors should be leveraged for expanding the Nikshay Mitra initiative among the family members of TB patients as well.
Real-world observational data on olfactory dysfunction of the Smell & Taste Clinic of UZ Leuven (Belgium) from 2021-2024
Authors: Clijsters M , Bischoff S , van Waterschoot J , Hens E , Nyongesa V , Van Bulck P , Jorissen M , Van Gerven L
Published: February 2025

Background: The COVID-19 pandemic led to a surge in olfactory dysfunction (OD), increasing the need for specialized care. This
study explores the prevalence, characteristics, and clinical implications of OD in a specialized Smell & Taste Clinic established at the
ENT-HNS department of the University Hospitals Leuven (UZ Leuven) in 2021.
Methodology: We included consecutive patients with OD in the observational longitudinal ProspeRo’Scent registry at UZ Leuven
between September 2021 and April 2024. Chemosensory assessment was done with psychophysical tests (Sniffin’ Sticks TDI and
Taste sprays) and questionnaires.
Results: Of the 203 unique, consecutive patients, COVID-19-associated OD (C19OD) was the predominant etiology (50.2%), followed
by idiopathic (25.1%), and post-traumatic (8.9%) OD. Parosmia was present in 60.2% of patients, with the highest prevalence
in C19OD cases (80.9%). Sniffin’ Sticks TDI testing indicated that patients with parosmia had better olfactory thresholds and discrimination
scores than patients without. During follow-up (n=116; average 7.7 months), 31% of C19OD patients exhibited clinically
relevant improvement in TDI scores, compared to 13% for the other etiologies. Quality of life, as assessed by sQOD-NS, was not
significantly different between etiologies but correlated with higher parosmia scores.
Conclusions: C19OD patients suffered more from parosmia, correlating with worse quality of life, but had better baseline TDI
scores and demonstrated a higher likelihood of clinically relevant improvement over time compared to other etiologies.
AI-Driven Personalized Learning and Content Extraction: An Emerging Paradigm
Authors: Sumanth Reddy Shiva , N Girish , Kumar B Anil , S Jahnavi , D R Manjunath , C Nandini
Published: February 2025

Integrating Artificial Intelligence (AI) into personalized learning platforms revolutionizes the educational landscape. This paper examines recent advancements in AI-driven customized learning systems that dynamically adapt to the needs of individual learners, offering tailored content and lesson planning. These systems utilize AI algorithms to adjust learning materials based on a student’s performance, creating an adaptive environment that fosters engagement and improves learning outcomes. Additionally, AI technologies in content extraction enhance the ability to summarize and organize information, making education more efficient and accessible. This review highlights the importance of data-driven approaches in transforming traditional learning methods into more interactive and customized experiences. By automating the personalization of educational content, AI tools empower educators to focus on higher-order teaching activities while the system adjusts to individual learning needs in real-time. Despite these advancements, challenges such as scalability, data privacy, and equity in access remain areas for further research. The paper also outlines future directions for optimizing AI-based educational technologies, particularly enhancing adaptive learning models and content extraction systems.
An Enhanced Cloud Security Model through Z Formal Method
Authors: Mulapnen Haruna Kassem , Isaac Gungbias Hosea
Published: February 2025

Cloud computing has changed how people and organizations use technology, allowing them to lower IT expenses, offer more services, and launch new business models. Despite its tremendous advantages, the downside that tends to discourage existing and intending users is the issue of security. Security issues ranging from vulnerability of the cloud systems to threats and attacks imply that users' data and resources are not safe and secure. The security issues of cloud computing systems often stem from the security requirements that are either inadequate or ambiguous, as well as the technique used to collect these requirements for developing cloud systems. To ensure enhanced security for cloud data, this study applies the Z specification technique to cloud security requirements. The Z Word Tool validates these requirements, ensuring completeness, consistency, and correctness. Comparative analysis with existing research highlights this study's novelty in employing Z Word Tool's type checker to verify and validate security requirements schema. The proposed enhanced model offers a robust guide for cloud system developers, achieving superior validation accuracy.
Driving Process Efficiency in Manufacturing with Cutting-edge Industrial Engineering Approach
Authors: Phan Hai Huy
Published: February 2025

The relentless pursuit of efficiency remains a cornerstone of modern manufacturing, where competitive markets demand innovation and adaptability. This paper explores integrating cutting-edge industrial engineering approaches to drive process efficiency in manufacturing systems. Combining lean manufacturing principles, automation, data analytics, and advanced optimization techniques, this study outlines a framework for achieving superior productivity, reduced operational costs, and enhanced product quality. A primary focus is given to the role of real-time data acquisition, simulation modeling, and predictive analytics in streamlining production workflows and minimizing downtime. The incorporation of Industry 4.0 technologies, such as IoT-enabled devices and artificial intelligence further enhances decision-making processes and enables dynamic adjustments to unforeseen disruptions. Case studies illustrate how these methodologies have been successfully implemented across various industries, highlighting measurable improvements in throughput, resource utilization, and waste reduction. Special attention is paid to addressing challenges such as workforce adaptation to technological changes and balancing automation with human intervention. By bridging theoretical advancements with practical applications, this paper provides a comprehensive guide for manufacturing professionals aiming to achieve sustainable growth. The findings underscore the transformative potential of industrial engineering in reshaping traditional manufacturing systems to meet the demands of a rapidly evolving industrial landscape.
Effects of Motivational Strategies on Specific Performance of Mixed Martial Arts Athletes
Authors: Paiva Leandro , Andreato Leonardo Vidal , Bueno João Carlos Alves , Silva Andrey Ferreira da
Published: February 2025

Psychological interventions are related to improved performance in many sports. However, studies evaluating the effect of motivational interventions on the performance of mixed martial arts athletes are lacking. Thus, this study aimed to evaluate the effects of motivational strategies on the specific performance of mixed martial arts athletes. For this, 22 adult male mixed martial arts athletes were evaluated at two conditions: 1) control condition, without any intervention; and 2) experimental condition, which received motivational strategies before the assessments. Athletes were divided into pairs with similar body mass and were instructed to perform a takedown, using the double leg technique, as quickly as possible after watching a motivational video and receiving a verbal command. As results, when comparing the conditions, a difference was found in the execution time of the takedown (p<0.001, d= 0.88, moderate), with lower values for the experimental condition compared to the control condition. Based on results, the acute application of motivational strategies was efficient to improve the specific performance of mixed martial arts athletes. However, the outcomes are preliminary resulting from a pilot study.
Tres dimensiones de las apuestas deportivas (inversión, ganancia y efectividad)
Authors: Martínez Vargas Agustín María , Camargo Flechas Jhon Jairo , Mora Hernández Diana Marcela , Alvear Martínez Pedro Luis , Castañeda Robles Cristian Camilo
Published: February 2025

El objetivo de esta investigación se centra en evaluar las dimensiones de inversión, ganancia y efectividad, de las apuestas deportivas en jóvenes universitarios, en función del marketing digital. Se aplica un modelo cuantitativo, explicativo basado en encuestas realizadas a 378 estudiantes universitarios de la ciudad de Villavicencio en Colombia. Los datos han sido analizados con un modelo regresión lineal múltiple y de correlación. Los resultados indican que la influencia del marketing digital en apuestas deportivas es del 48% y la experiencia en apuestas es la variable explicativa más favorable en inversión, ganancia y efectividad, contrario al análisis previo a estas apuestas. Se concluyó que es uno de los mercados con mayor crecimiento y su grupo poblacional son hombres entre 25 y 34 años ya que los impulsa la pasión por el deporte y el juego de azar.
Influence of Professional Nutritional Support on Dietary Profile of Strength-Trained Women
Authors: Canhestro Julia Pelli , Carvalhaes Ana Luísa Domingues , Martins Júnior Francisco de Assis Dias , Drummond Marcos Daniel Motta
Published: February 2025

Appropriate eating habits and personalized nutritional strategies combined with strength training can optimize metabolic pathways, enhance strength gains, and improve body composition. The present study aims to characterize and analyze how professional nutritional support influences the dietary profile and energy balance (EB) of strength-trained women. This cross-sectional study includes 64 strength-trained women divided into four groups: HyperWith (nutritional support, hypertrophy objective), WLossWith (nutritional support, weight loss objective), HyperWithout (no nutritional support, hypertrophy objective), and WLossWithout (no nutritional support, weight loss objective). Dietary profile and total energy expenditure (TEE) were assessed using a 24-hour food recall and physical activity diary. Statistical analysis was conducted using one-way ANOVA (α=0.05), followed by Tukey's post hoc test to identify group differences. The TEE, energy intake, and macronutrient intake were recorded and compared. No significant difference in TEE was found between groups, though individual variations were observed. Statistically significant differences (p<0.05) were noted in EB, total calories, and macronutrients. The HyperWith group had a significantly higher mean total caloric value than WLossWith (p=0.006) and WLossWithout (p=0.011), with significant differences in EB between WLossWith and HyperWith (p=0.006) and between HyperWith and WLossWithout (p=0.008). HyperWith showed higher means of carbohydrates, proteins (p<0.001), and lipids (p=0.044). The study emphasizes the importance of professional nutritional support for strength-trained women aiming for weight loss or hypertrophy, finding that dietary profiles and EB were partially aligned with recommendations, particularly among those receiving support.
Liderazgo de la Gerencia Hospitalaria y su Incidencia en el Desempeño del Personal de Emergencia del Hospital General Puyo
Authors: Martinez Fiallos Mónica Gabriela , Pérez Salas Francisco Paúl
Published: February 2025

El liderazgo en la dirección hospitalaria es esencial para el desempeño del personal de salud, particularmente en áreas críticas como las emergencias, en el Hospital General Puyo, se detectó como principal problema la escasa influencia de los estilos de liderazgo en la optimización del rendimiento y la eficacia operativa del personal, lo que repercute en la calidad del servicio y la satisfacción de los pacientes. La meta principal de este estudio fue analizar el efecto de los estilos de liderazgo transformacional y transaccional en el desempeño del personal de urgencia, valorando su vínculo con elementos como la innovación en el campo clínico, la motivación y la rectificación de fallos. Se utilizo un enfoque cuantitativo de diseño no experimental, utilizando cuestionarios basados en el cuestionario MLQ (Multifactor Leadership Questionnaire), para evaluar los estilos de liderazgo y su vínculo con indicadores esenciales de desempeño. El grupo de estudio estuvo compuesto por 132 empleados de primera línea del hospital. Los hallazgos mostraron que el liderazgo transformacional tiene una correlación moderadamente positiva p=0.771 con el rendimiento del equipo, subrayando la relevancia de la motivación y el cuidado individualizado. En cambio, el liderazgo transaccional p=0.785 se vinculó con la eficacia operacional mediante la aplicación de incentivos y la rectificación de fallos. Los dos estilos evidenciaron ser esenciales para mejorar el entorno de trabajo y los resultados clínicos. Potenciar el liderazgo en el entorno hospitalario puede incrementar notablemente el rendimiento del personal, disminuir los errores y asegurar un mejor cuidado al paciente. Este análisis subraya la relevancia de aplicar estrategias de liderazgo eficaces en el marco de la administración Hospitalaria.
Book Review: Fitzpatrick, K. (2024). Leading Generously: Tools for Transformation. United States: Johns Hopkins University Press
Authors: Manolescu Dan
Published: February 2025

The idea of building new things by transforming institutions like colleges, universities and similar nonprofit organizations is the central point of Leading Generously, an indispensable reference book of facts and opinions written by Kathleen Fitzpatrick.  Organized in four chapters (called parts), with an Introduction and ending with a section of Acknowledgements, Notes, Bibliography, and Index, the present volume is an appeal to assess the current situation and at the same time to redesign and reimagine the whole concept of leadership.
Contribuições da Terapia Ocupacional na atenção básica: concepções dos profissionais da categoria
Authors: Moreira Rodrigues Ana Paula , De Paulo Morais Elivany , Belotti Meyrielle
Published: February 2025

Resumo: Introdução: A Atenção Básica é o nível primário do Sistema Único de Saúde caracterizado por atender as necessidades da população, no âmbito individual e coletivo. A Terapia Ocupacional se apresenta como uma profissão que pode contribuir com o trabalho nesse nível de complexidade, por meio do fomento da participação social e com ênfase nas ocupações significativas das pessoas. Este artigo tem como objetivo analisar as concepções dos terapeutas ocupacionais referente a suas atribuições e contribuições, junto às equipes da Atenção Básica. Métodos: A coleta de dados foi realizada através de um questionário online assíncrono e autoaplicável. O público alvo foram terapeutas ocupacionais com vínculo ativo ou inativo nas equipes da Atenção Básica. Resultados e Discussão: Emergiram duas categorias com base nas concepções apresentadas: 1) contribuições específicas da Terapia Ocupacional na Atenção Básica; 2) contribuições compartilhadas da Terapia Ocupacional na Atenção Básica. As contribuições específicas da categoria profissional versam sobre o desenvolvimento das atividades significativas, o fortalecimento da autonomia e da independência das pessoas e das comunidades, o fomento da participação social e a ampliação das redes de suporte. Em relação às atribuições compartilhadas destacam-se a atuação da Terapia Ocupacional frente às práticas territoriais, os encontros de matriciamento e o manejo na coordenação do cuidado em rede. Conclusão: Identificou-se a existência de uma maleabilidade no transitar entre as competências específicas e compartilhadas. Defende-se que esse “transitar” configura-se como uma característica importante no processo de formação da identidade social da Terapia Ocupacional.
The Effect of Propensity to Savings on Rate of Profit
Authors:   CNR-IRCRES, National Research Council Institute for Research on Sustainable Economic Growth Via dei Taurini, Rome, Italy, Marchi Mario de
Published: February 2025

A suggestion is provided here for making the Classical Approach to the study of prices and income distribution neutral with respect to ideological choices,
a move which might perhaps promote progress in Political Economics. In this respect, some flaws commonly attributed to the economic thought of Adam
Smith are overcome. Solving them, it is then argued, opens up the possibility of fertile links between a Smithian approach and the John Maynard Keynes’
theory of income and employment. This way, the determination of income distribution might be explained as the outcome of free choices and market
mechanisms concerning the prices of commodities too, but this theoretical path could be followed without falling into the inconsistencies arising from
capital measurement connected to Marginalism.
Secure and Distributed Computing Mechanisms for Electric Vehicle Charging Management: The Past, Current and Future Trends
Authors: Shweta Anmod  , Dinesh Rai  , Neha Gupta
Published: February 2025

Electric Vehicles (EV) are recommended in many countries owing to its economic and environmental benefits. The charging demands posed by EVs keep increasing day by day and the same could not be met by existing charging infrastructures. Though shared charging schemes exist, it is crucial to ensure the trustworthiness of the participating entities. Several systems employing advanced computing techniques were proposed in the past for effective EV charging. This review paper will provide an overview of various electric vehicle charging schemes, their characteristics, limitations and management. Further, this review will cover recent secure computing and blockchain based approaches deployed in the arena of EV charging management.
Decoding Motivation: An Empirical Analysis of Factors Driving Employee Engagement
Authors: Dr. Kavita. A Jain  , Prof. (Dr.) Parul Khanna  , Ms. Manika Sukhija
Published: February 2025

Employee motivation is a critical factor in organizational success, influencing productivity, job satisfaction, and retention rates. This empirical study investigates the key factors that affect employee motivation across diverse industries. Using a mixed-methods approach, data was collected from 500 employees through surveys and interviews. The findings reveal that intrinsic factors such as job satisfaction, personal growth, and recognition significantly impact motivation, alongside extrinsic factors such as salary, job security, and work environment. This study offers insights into designing effective motivational strategies tailored to workforce needs.
Índice de preços recebidos pelos produtores de café no Estado do Espírito Santo entre os anos 2010 e 2023
Authors: Vital Galeano Edileuza , Gava Ferrão Romário
Published: February 2025

A produção de café no Espírito Santo é a principal atividade agropecuária em termos de valor da produção. No entanto, poucos estudos econômicos sobre as variações de preços nesse setor estão disponíveis atualmente. Os preços sofrem grandes oscilações em função das variações na produção e outros fatores relacionados ao mercado. Este trabalho teve por objetivo elaborar um estudo da variação dos preços recebidos pelos produtores de café no Espírito Santo no período de 2010 a 2023. Foram considerados os preços médios mensais recebidos pelos produtores de café arábica e conilon. Foi utilizada a metodologia de índices de preços, que são números que agregam e representam os preços de determinada cesta de produtos. O Índice de Preços Recebidos pelos Produtores (IPR) encerrou o mês de dezembro de 2023 com alta de 269,01%, quando comparado aos preços vigentes em janeiro de 2010. No comparativo, o IPR ficou muito acima do Índice Geral de Preço - Mercado (IGP-M), que fechou o mesmo preíodo com 180,41% de alta, e do IPCA, que ficou em 202,64%. O estudo mostra que os índices gerais de preços, como o IGP-M e o Índice Nacional de Preços ao Consumidor Amplo (IPCA), não refletem as altas dos preços na cafeicultura, sendo necessária a utilização de um índice específico para a cafeicultura. Os problemas climáticos, sobretudo nos últimos anos, têm afetado significativamente a produção de café no mundo. A incerteza nas produções futuras, associada ao baixo estoque, tem proporcionado atualmente melhores remunerações para os cafeicultores.
IMPLEMENTASI UNDANG-UNDANG NOMOR: 25/1992 TENTANG PERKOPERASIAN DI SIMPAN PINJAM KARYA BARU KECAMATAN PANCURBATU
Authors: Barus Ramsi Meifati , Simbolon Nanci , Devi Ria Sintha , Hamonangan Alusianto
Published: February 2025

Koperasi adalah badan usaha yang beranggotakan orang seorang atau badan hukum koperasi dengan berlandaskan kegiatannya berdasarkan prinsip koperasi sekaligus sebagai gerakan ekonomi rakyat yang berdasarkan atas asas kekeluargaan). Kata “gerakan ekonomi rakyat” mengindikasikan bahwa koperasi adalah wadah bagi ekonomi rakyat Kegiatan pengabdian kepada masyarakat dilaksanakan oleh Koperasi Simpan Pinjam Karya Baru Pancurbatu yang memberikan pencerahan dengan memberikan nasehat dan konsultasi hukum kepada masyarakat dalam berbagai bidang kehidupan di bidang perekonomian. Salah satu hal yang harus diperhatikan adalah adanya perjanjian pinjam meminjam, dimana diharapkan setiap badan usaha koperasi harus mempunyai perjanjian, dalam hal ini perjanjian pinjam meminjam. Kesepakatan yang dicapai biasanya berupa hal-hal prinsip saja, untuk memenuhi syarat-syarat huku, dalam hal ini Kitab Undang-undang Hukum Perdata. Permasalahan lain akan dimasukkan dalam perjanjian yang lebih mudah diubah sesuai dengan perkembangan ekonomi. Pada akhirnya, program ini harus mampu memberikan pemahaman dan solusi kepada badan usaha koperasi khususnya Koperasi Simpan Pinjam Karya Baru Pancurbatu agar dapat tetap eksis sebagai badan usaha yang sedang berkembang. Ketika terjadi kasus nasabah tidak bayar kewajiban yang disebut wanprestasi, proses penyelesaian sengketa diupayakan dengan cara musyawarah atau kekeluargaan.
KEPASTIAN HUKUM ATAS BENDA BERGERAK DAN BENDA TIDAK BERGERAK SEBAGAI JAMINAN DALAM PERJANJIAN PINJAM MEMINJAM DI BAWAH TANGAN
Authors: Devi Ria Sintha
Published: February 2025

Penelitian ini membahas tentang bagaimana kepastian hukum benda bergerak dan benda tidak bergerak sebagai jaminan dalam perjanjian pinjam meminjam di bawah tangan. Jenis penelitian ini adalah hukum normatif dan sifat penelitian ini adalah deskriptif analisis.Teknik pengumpulan data dilakukan dengan cara penelitian kepustakaan (library research), data yang digunakan adalah data skunder yang diperoleh dari bahan hukum primer, bahan hukum skunder dan bahan hukum tersier.Hasil penelitian ini menggunakan metode analisa kualitatif yang nantinya akan disusun secara sistematis guna menjawab permasalahan yang telah dirumuskan. Kepastian hukum atas benda bergerak dan benda tidak bergerak sebagai jaminan dalam perjanjian pinjam meminjam di bawah tangan harus dibuat dengan Akta Natariil (Akta Notaris) dan didaftarkan pada Kantor Kementerian Hukum dan HAM, agar memiliki kekuatan eksekutorial, di samping itu kreditor akan memperoleh hak preferen. Apabila jaminan tidak dibuatkan dibawah tangan dan tidak didaftarkan sesuai kekentuan perundang-undangan, maka tidak memiliki kekuatan eksekutorial, dan hak hak preferen serta dapat menjadi batal demi hukum.
PELAKSANAAN SERTIPIKAT TANAH BERBASIS ELEKTRONIK IMPLEMENTATION OF ELECTRONIC-BASED LAND CERTIFICATES
Authors: Lubis Diana
Published: February 2025

Pelaksanaan pendaftaran tanah yang dapat dilakukan secara elektronik dan hasil pendaftaran tanah tersebut berupa data, informasi elektronik, bukan lagi berupa konvensional. Hal ini merupakan suatu bentuk positif bagi masyarakat tentang perubahan dokumen pembuktian tanah ke arah digitalisasi yang dituangkan oleh pemerintah melalui Kementerian Agraria dan Tata Ruang/Badan Pertanahan Nasional (Kementerian ATR/BPN) dalam Permen ATR/BPN No. 3 Tahun 2023 tentang Sertipikat Elektronik. Perubahan sertifikat elektronik bertujuan untuk mengedepankan transformasi digital karena dinilai penggunaannya lebih aman dibandingkan dengan konvensional
PEMBERIAN HARTA WARISAN MELALUI WASIAT WAJIB TERHADAP ANAK ANGKAT MENURUT KOMPILASI HUKUM ISLAM
Authors: Ry Agus Armaini
Published: February 2025

Wasiat merupakan salah satu cara dalam peralihan harta dari satu orang ke orang lain. Sistem wasiat ini berjalan sejak zaman dulu, bukan hanya agama Islam saja yang mengatur, tetapi setiap komunitas memiliki pemahaman tentang wasiat. Anak angkat ataupun orangtua angkat berhak memperoleh “wasiat wajibah” dengan syarat tidak boleh lebih dari 1/3 harta berdasarkan Pasal 209 ayat 2 Kompilasi Hukum Islam. Syarat-syarat yang harus dipenuhi dalam pembuatan surat wasiat wajibah agar dapat berlaku sah sebagai akta otentik adalah dibuat dihadapan notaris. Anak angkat dapat memperoleh harta dari orang tua angkatnya berdasarkan wasiat yang besarnya tidak boleh melebihi 1/3 (sepertiga) harta orang tua angkatnya yang telah meninggal dunia, bila orang tua angkatnya tidak meninggalkan wasiat maka dapat diberi berdasarkan wasiat wajibah, dan pemberi wasiat wajibah tidak boleh merugikan hak-hak dari ahli waris. Kalau anak angkat mendapatkan bagian wasiat wajibah yang melebihi 1/3 bagian, maka wasiat wajibah tidak batal demi hukum melainkan harus dibatalkan dengan putusan pengadilan.
MEMBUMIKAN METODE PALS PADA DIGITALISASI PENGELOLAAN DASAR KEUANGAN FORUM UMKM MRANGGEN DEMAK
Authors: Santoso Aprih , Saifudin Saifudin , Sulistyawati Ardiani Ika
Published: February 2025

Current conditions based on a pre-survey by the Community Service Team, many members of Mranggen District MSME Actors are unable to manage their MSME finances properly, especially in managing income and expenses and separating personal finances from business finances. On the one hand, reduced income due to the global food crisis has an impact on irregular income for MSMEs. On the other hand, increased expenses, due to the needs and prices of consumer goods also make it difficult to manage MSME finances. This is what motivated the Community Service Team to be interested in carrying out community service for members of Mranggen District MSME Actors. The Community Service Method with Introductory Training on financial management literacy integrated with digital finance and Mentoring. The results of the Community Service, MSME actors understand and are able to manage MSME finances integrated with digital finance neatly and well
PEMBERDAYAAN IBU RUMAH TANGGA DESA KABONGAN KIDUL MELALUI EKONOMI KREATIF BERBASIS ENTREPRENEURSHIP UNTUK MENINGKATKAN PENDAPATAN EKONOMI KELUARGA
Authors: Dewi Nurma Gupita , Ilhami Susanti Dwi
Published: February 2025

This community service aims to improve the family economic income in Kabongan Kidul Village through the empowerment of housewives with a creative economy approach based on entrepreneurship. Kabongan Kidul Village faces challenges in optimizing human resource potential, especially housewives, to play an active role in the family economy. This service activity involves entrepreneurship training, which includes enhancing skills, understanding the principles of creative economy, and the right marketing strategies for the products produced. This program is expected to improve the skills of housewives in creating business opportunities, introduce creativity-based business concepts, and have a positive impact on family economics, both in terms of additional income and social empowerment. Furthermore, this program also encourages collaboration among housewives to form supportive and sustainable business networks. Keywords: Creative Economy, Entrepreneurship, Empowerment.
Mitigating the Privacy Risks of AI through Privacy-Enhancing Technologies
Authors:   Privacy Pro SRL (Cluj-Napoca, Romania), Székely Barnabás
Published: February 2025

The development and operation of an AI solution generally requires large amounts of data. This may involve processing of personal data, which implies privacy risks for the data subjects and the obligation to comply with data protection rules for data controllers. Privacy enhancing technologies (PETs) can help enhance data collection and mitigate privacy risks posed by the development of AI solutions. In this context, this thesis proposes to present a set of emerging technologies that address privacy risks characteristic to machine learning models and enable privacy-preserving machine learning. The essay will highlight three state-of-the-art PET solutions: homomorphic encryption, secure multi-party computation and differential privacy.