bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Firm Size in Moderating the Relationship Between Leverage, Liquidity and Cash Flow and Earnings Quality of the Earnings Response Coefficient
Authors:   Universitas Kristen Indonesia, Sintha Lis , Tobing Ferry ,   Universitas Kristen Indonesia, Juniasti Riwandari ,   Universitas Kristen Indonesia
Published: February 2025

The degree of profit consistency for speculators can be measured utilizing the profit reaction coefficient (ERC). Profit Reaction Coefficient (ERC) demonstrates the degree of significance of profit data itself. When a company's detailed profit are exceedingly responsive to the advertisement, the quality of detailed profit data is additionally way better. This consideration looks at the assurance of profit quality, which is considered based on a few variables, specifically obligation proportion, liquidity, cash stream, and company measure, with company estimate as a directing variable. This considers employment information obtained from auxiliary information obtained from the yearly money-related report ( yearly report ) of fabricating companies within the Indonesian Stock Trade for the period 2018-2020. The information investigation strategy utilized a numerous straight relapse examination and a directed relapse investigation through testing a hypothesis in detail, a concrete hypothesis. The ponder appears that use includes a noteworthy and positive effect on profit quality; There's no critical impact of liquidity on profit quality; Profit quality is essentially affected by free cash stream; Firm estimate has appeared to altogether direct the effect of use on profit quality; Firm estimate does not altogether direct the impact of use on profit quality; The relationship between liquidity and profit quality isn't affected by the balance of firm estimate; There's no impact that firm measure impacts free cash stream on profit quality factors.
Pengaruh Citra Merek, Kualitas Produk, Harga Dan Promosi Terhadap Keputusan Pembelian Pasta Gigi Ciptadent Di Kota Padang
Authors: Gemilang Adam , Abdilla Mohammad
Published: February 2025

Abstract
This research was conducted to find out how brand image, product quality, price and promotion influence the purchasing decision of Ciptadent toothpaste in the city of Padang. This research method is a quantitative research method with a sample size of 138 respondents. Sampling used a non-probability sampling technique with a purposive sampling method. The research results show that brand image (X1) influences purchasing decisions (Y), product quality (X2) influences purchasing decisions (Y), price (X3) influences purchasing decisions (Y), promotion (X4) influences purchasing decisions (Y), and overall, brand image, product quality, price and promotion influence purchasing decisions (Y).
 
Abstrak
            Penelitian ini dilakukan untuk mengetahui bagaimana pengaruh citra merek, kualitas produk, harga dan promosi terhadap keputusan pembelian pasta gigi ciptadent di kota padang. Metode penelitian ini adalah metode penelitian kuantitatif dengan jumlah sampel sebanyak 138 responden. Pengambilan sampel menggunakan teknik non probability sampling dengan metode purposive sampling. Hasil penelitian menunjukkan bahwa citra merek (X1) berpengaruh terhadap keputusan pembelian (Y), kualitas produk  (X2) berpengaruh terhadap keputusan pembelian (Y), harga (X3) berpengaruh terhadap keputusan pembelian (Y), promosi (X4) berpengaruh terhadap keputusan pembelian (Y), dan secara keseluruhan, citra merek, kualitas produk, harga dan promosi berpengaruh terhadap keputusan pembelian (Y).
Dual landholders on the Hungarian-Yugoslavian Border in the Interwar Period
Authors: ÁRPÁD Hornyák
Published: February 2025

Because the history of historiography is obviously too complex to be dealt with
comprehensively, this paper is in the form of an essay. It discusses several aspects of the
evolution of historiography in the 18th through the 20th centuries, organized around
three principal questions concerning history/historiography posed by Karl R. Popper’s
1967 article “A Pluralist Approach to the Philosophy of History.” These questions are
“What is the meaning of history?” “What is the use or value of history?” and “What is
the method of history?” The work of Lord Acton plays a key role in responding to these
questions which is elaborated here. The final part of the essay looks at the19th and 20th
schism in historiography and its impact on the study of historical study.
Development of a Cross-Platform Serious Game for Reviewing Content through Exercises Using an Artificial Intelligence Assessment System
Authors: López Alicia , Romero Alfredo
Published: February 2025

Learning how to solve problems through mathematical processes is highly important in education and the professional field. Experts recommend the use of technological tools, such as serious games, to support and enhance this learning process. These applications can be used on websites or mobile devices, allowing users to practice efficiently and engagingly across different areas.
This work proposes developing a serious game with artificial intelligence to assess exercises designed by mathematics teachers, following a user-centered design approach. This involves analyzing requirements to create a use case model, which will enable the development of prototypes that students can evaluate in terms of usability, accessibility, and learning effectiveness.
Enhancing API Reliability and Performance: Applying Google SRE Principles for Advanced Monitoring and Resilient Operations
Authors: Hallur Jayanna
Published: February 2025

Purpose: The purpose of this article is to explore and adapt the google SRE principles for improving the reliability and performance of applications and APIs. This article explains the details of adapting google SRE principles with practical examples and decisions for proactive monitoring the applications.
Methodology: The article explains a case study and analysis to demonstrate how Google SRE principles [1] help to improve the reliability, performance and decision on release of new functionalities to the critical application.  Site Reliability Engineering at Google provides a practical leading toward that direction. Such principles are referred as SLOs, SLIs, error budgets, and proactive monitoring, come into play to balance system reliability and innovations for every organization.
Findings: The findings show that by adapting Google SRE principles [2], reliability of the applications are improved and helps developers to prioritize the new features releases vs improving the reliability. This article takes a closer look at some of the ways in which SRE practices can help enhance the resiliency of an application, considering two very important examples: API availability and database reliability.
Unique Contribution to Theory, Practice and Policy: This article makes valuable contributions to theory, practice, and policy. For theory, it expands the understanding of how google SRE principles helps to improve application reliability and performance. For practice, it provides clear, actionable steps for SRE teams to identify and resolve performance issues, helping organizations enhance reliability and user satisfaction.  For policy, it highlights the importance of proactive network monitoring and metric-driven decision-making, encouraging organizations to adopt policies that prioritize resiliency, ensure consistent performance, and meet service-level agreements (SLAs). This article provides practical insights and examples to help teams implement SRE and achieve greater reliability and scalability.
A CORRELATIONAL STUDY BETWEEN GENDER EXPRESSION CONGRUENCE, SELF-ESTEEM, AND ACADEMIC ENGAGEMENT
Authors: Cadenong Gerald S. , Cabiles Melanie Joy , Isagon Chinie P. , Sto. Domingo Judea , Espeleta Ronlie RJ
Published: February 2025

This study looks into the relationship between gender expression congruence, self-esteem, and academic engagement among third-year Bachelor of Secondary Education (BSE) students at Cavite State University - Carmona Campus. Gender Expression Congruence is the alignment of an individual's gender identification with their external expression, which is important for self-esteem, especially in transgender and gender nonconforming people. The study used a descriptive-correlational approach, with surveys administered to a sample of 165 students. The study discovered that higher levels of gender expression congruence are associated with higher self-esteem, which is substantially related to increased academic engagement. The findings highlight the necessity of encouraging true gender expression in order to boost students' self-esteem and academic participation, resulting in a more inclusive educational environment. These findings show that educational institutions should consider gender expression support as a means of increasing student engagement and well-being.
Leveraging Machine Learning for Predicting Student Performance
Authors: Ms. Riddhi Kanabar  , Dr. Pallavi Devendra Tawde
Published: February 2025

Predicting student performance is a crucial challenge in the education sector. This research explores the application of machine learning techniques to forecast academic success based on historical student data, including attendance, past grades, and behavioural patterns. We developed and evaluated multiple machine learning models, including Random Forest, Decision Tree, Support Vector Machine, and Logistic Regression, to determine their effectiveness in predicting academic outcomes. Our analysis highlights that Random Forest provides the highest accuracy, while Logistic Regression offers a balance between interpretability and performance. The study aims to assist educators in identifying students at risk of underperformance, enabling timely intervention strategies
NEUROSCIENCE AND MATHEMATICAL EDUCATION
Authors: Adeilton de O. Andrade Emanuel , Pessoa da Silva Isaías , Aldeni de O. Andrade Maria , De Assis de O. Andrade Francisco
Published: February 2025

This article explored how neuroscience knowledge can enrich pedagogical practice in teaching Mathematics, especially in the final years of Elementary School. The research problem investigated how neuroscience contributes to understanding brain development, students and to formulating effective pedagogical strategies. The study, conducted through a literature review, identified the brain areas involved in mathematical reasoning, analyzed the cognitive and emotional aspects of students and proposed pedagogical strategies based on neuroscientific evidence, such as immediate feedback, spaced repetition and gamification. The main conclusions indicate that the integration of neuroscience with mathematics education can improve student performance, promote engagement and create more welcoming and effective learning environments. The study suggests investments in teacher training and in the adaptation of neuroscientific approaches to different contexts, aiming to democratize access to innovative educational practices.
Ciberseguridad desde las ciencias de la computación: un estudio bibliométrico sobre el Perú y los países limítrofes
Authors: Cuya-Chamilco Paolo Víctor , Saavedra-Villar Pablo , Mescua-Ampuero Lizeth Erly , Alvarado-Flores José Antonio , Cáceres-García Alan Armando
Published: February 2025

El estudio en ciberseguridad ha generado una creciente dependencia de sistemas y redes interconectadas, siendo un tema de prioridad constante. El objetivo fue cuantificar y analizar la actividad científica disponible acerca de los estudios de ciberseguridad en el periodo 2020-2024. Se aplicó el método bibliométrico con enfoque cuantitativo de tipo descriptivo, de carácter transversal, usando la metodología PRISMA para analizar 612 publicaciones indexadas en las bases de datos WoS y con el análisis del software VOSviewer. Los resultados presentan un incremento en la producción de documentos en los últimos cinco años producto de las redes de colaboración entre autores e instituciones de diversos países, Perú se encuentra en el quinto lugar de productividad con 17 documentos indexados, el autor peruano con 12 citas recibidas es Edwin Hernan Ramirez-Asis y la Pontificia Universidad Católica el mayor número de publicaciones. La revista con mayor número de publicaciones e impacto pertenece IEEE Access con 131 documentos y el título publicado con el mayor número de citas de 186 pertenece a la revista Nature Machine Intelligence. Se concluye que la productividad y las redes de colaboración entre investigadores se vienen dando de manera articulada entre diversos países de América del Sur y otros continentes.
Economic and Social Potential of the Third Sector in Poland – A Case of Associations and Foundations
Authors: AUGUSTYN Sabina
Published: February 2025

Non-governmental organizations (NGOs) are often called the third sector or non-profit sector. There are various definitions of these terms, but they all refer to institutions operating independently of governments, on a voluntary basis and for the community and its members. They are usually not-for-profit, primarily concerned with providing services, including the cooperation of community members, with their activities often focused on people who are socially or economically excluded. Their impact on societies is continuously growing, and their importance in national economies is also growing.

In this paper, an attempt was made to analyze the performance of the two most popular organizations of the third sector in Poland, i.e. associations and foundations. The analysis is based on the year 2022, but the changes in selected factors between 2010 and 2022 are also presented and discussed. The paper focuses mostly on the social and economic capital of the organizations studied.

As the research has shown, there are significant differences between foundations and associations, but at the same time great similarities can be observed. The activity of this sector has changed over time, being a reflection of the socio-economic changes taking place in Poland in the period under study. These organizations constitute a significant element in the socio-economic reality of Poland, meeting the specific needs of society and activating groups exposed to various types of social and economic exclusion.
REVISÃO BIBLIOMÉTRICA SOBRE: SOLAR ENERGY (ENERGIA SOLAR)
Authors: Garcia Elias Fornazari
Published: February 2025

A Solar Energy é uma fonte de energia alternativa que tem seu futuro promissor, pois há alguns anos nem se cogitava esta ideia, e agora ela foi implementada, é ainda cara mais pode haver avanços com pesquisas. O objetivo deste trabalho é através da revisão bibliométrica sobre Solar Energy, que é a revisão que coleta dados importantes para saber mais sobre o assunto de Solar Energy, e desta forma saber quais países publicam mais sobre Solar Energy e quais anos tiveram mais publicação sobre Solar Energy, assim com estas informações saberemos se Solar Energy é muito pesquisado, se há muito interesse nesse tema ou se os estudos neste tema ainda estão começando. A metodologia foi através da análise bibliométrica utilizando a plataforma Web of Science como fonte de coleta de dados. O resultado foi que os países que mais publicam artigos são China e Estados Unidos e o Brasil está na posição 22° no ranking dos países que mais publicam, as publicações sobre Solar Energy começaram em 1949. A conclusão todos os países precisam se dedicar mais nas pesquisas para melhorar o potencial desta área com o tema de Solar Energy, pois se aproveitássemos toda energia vinda do sol teríamos energia para o globo inteiro só proveniente do sol.
PROTOCOLOS DE MANEJO EM EMERGENCIAS TOXICOLÓGICAS: ESTRÁTEGIAS PARA O TRATAMENTO DE INTOXICAÇÕES AGUDAS
Authors: Rocha Suellem Moura Silva , Barbosa Arianni Cássia Chiera di Vasco , Gazel Welleson Feitosa
Published: February 2025

Esse artigo buscou revisar as intoxicações agudas, com foco nas principais causas, diagnóstico e manejo emergencial. A metodologia empregada consistiu em uma revisão bibliográfica de estudos recentes sobre os protocolos de tratamento e estratégias de intervenção para intoxicações por medicamentos, produtos químicos e substâncias ilícitas. A pesquisa revelou que as intoxicações agudas são responsáveis por um número significativo de hospitalizações e óbitos, especialmente em populações vulneráveis. O manejo dessas condições exige uma resposta rápida, com destaque para a importância dos protocolos de suporte básico e avançado de vida, que têm mostrado resultados positivos na redução da mortalidade. No entanto, a falta de capacitação dos profissionais de saúde e a escassez de recursos em algumas regiões ainda representam desafios significativos. As conclusões indicam que, para melhorar o tratamento das intoxicações agudas, é essencial investir em treinamentos para os profissionais e na implementação de protocolos padronizados de atendimento, além de promover o acesso adequado a unidades de saúde equipadas para casos graves.
GÊNEROS TEXTUAIS E O LIVRO DIDÁTICO DO ENSINO MÉDIO: TEORIA E PRÁTICA EM SALA DE AULA
Authors: Belo José Michelson Benício , Coutinho Diógenes José Gusmão
Published: February 2025

O presente artigo tem como objetivo investigar a abordagem dos gêneros textuais nos livros didáticos do Ensino Médio, analisando a inter-relação entre teoria e prática na construção das atividades pedagógicas em sala de aula. A pesquisa, fundamentada em uma revisão teórica e em uma análise crítica dos materiais didáticos, busca compreender se os livros didáticos atuais contribuem para o desenvolvimento das competências linguísticas dos alunos. O estudo destaca a importância de práticas pedagógicas que transcendam a simples reprodução teórica, promovendo a aplicação prática e contextualizada dos gêneros textuais no cotidiano dos estudantes. Conclui-se que a integração eficaz dos gêneros textuais pode transformar o processo de ensino-aprendizagem, tornando-o mais interativo e relevante para a inserção dos alunos no mundo social e profissional.
Estimating return periods for extreme events in climate models through Ensemble Boosting
Authors: Bloin-Wibe Luna , Noyelle Robin , Humphrey Vincent , Beyerle Urs , Knutti Reto , Fischer Erich
Published: February 2025

Abstract. With climate change, extremes such as heatwaves, heavy precipitation events, droughts and extreme fire weather have become more frequent in different regions of the world. It is therefore crucial to further their physical understanding, but due to their rarity in both observational and climate modeling samples, this remains challenging. For numerical simulations, one way to overcome this under-sampling problem is Ensemble Boosting, which uses perturbed initial conditions of extreme events in an existing reference climate model simulation to efficiently generate physically consistent trajectories of very rare extremes in climate models. However, it has not yet been possible to estimate the return periods of these simulations, since the conditional resampling alters the probabilistic link between the boosted simulations and the underlying original climate simulation they come from. Here, we introduce a statistical framework to estimate return periods for these simulations by using probabilities conditional on the shared antecedent conditions between the reference and perturbed simulations. This theoretical framework is applied to simulations of the fully-coupled climate model CESM2: first for a pre-industrial control simulation, and then in present-day conditions, where, as an example, we estimate the return period of the record-shattering 2021 Pacific Northwest heatwave to be 2500 years, with a 95 % confidence interval of about 2000 to 4000 years. Our evaluation of the method shows that return periods estimated from Ensemble Boosting are consistent with those of a 4000-year control simulation, while using approximately 6 times less computational resources. We thus outline the usage of Ensemble Boosting as an efficient tool for gaining statistical information on rare extremes. This could be valuable as a complement to existing storyline approaches, but also as an additional method of estimating return periods for real-life extreme events within a climate model context.
System identification of offshore wind turbines for model updating and validation using field measurements
Authors: Gebel Jakob , Rezaei Ashkan , Vemuri Adithya , Liverud Krathe Veronica , Daems Pieter-Jan , Matthys Jens Jo , Sterckx Jonathan , Vratsinis Konstantinos , Kestel Kayacan , Nejad Amir R. , Helsen Jan
Published: February 2025

Abstract. This study presents an applied system identification approach for developing, updating, and validating simulation models of wind turbines using field measurements. This is demonstrated by developing a model of a bottom-fixed offshore turbine in the Belgian North Sea. An initial model is obtained based on available design information and the scaling of reference models. Afterwards, the model is calibrated by leveraging drivetrain vibration data and blade strain measurements. This is accomplished using Operational Modal Analysis techniques, which enable the identification of the turbine’s modal parameters, particularly its eigenfrequencies. By identifying the eigenmodes, the model can be updated to match the modal behaviour of the deployed turbine. Comparison with SCADA data further validates the model’s operational performance. Additionally, the obtained model is used to calculate blade pitch-bearing lifetime estimations in different wind conditions, to give insight in the detrimental effect of wind properties on the pitch-bearing lifetime, which can be used as decision support in operation and maintenance strategies for wind turbines.
Wind Turbine Gearbox Operation Monitoring Using High-Resolution Distributed Fiber Optic Sensing
Authors: Luo Linqing , Gutierrez Santiago Unai , Wu Yuxin
Published: February 2025

Abstract. Efficient gearbox monitoring is vital for improving fault detection, enhancing design, and reducing operation and maintenance (O&M) costs, particularly for offshore wind turbines. This paper introduces an innovative approach using high-resolution Distributed Fiber Optic Sensing (DFOS) based on Optical Frequency Domain Reflectometry (OFDR) to measure gearbox strain in real time. By bonding a single optical fiber around the full circumference of a 2.152 m diameter planetary stage in a 3.75 MW wind turbine gearbox, we captured millimeter-scale distributed strain profiles of planetary gears under different input torque levels. Our results show accurate identification of planet gear locations in real time and rotation speed (10.42 revolutions per minute) and a strong linear correlation between applied torque and measured strain across all monitored locations (R2 = 0.9997), with data collected every 2.6 mm. Strain variations of approximately 200 microstrain were observed on individual gear teeth during engagement, providing granular insights into mechanical behavior and load distribution.  Additionally, DFOS detected temperature variations during operation, highlighting its capability to concurrently monitor thermal and mechanical anomalies. This study represents the first application of continuous DFOS to a full-scale wind turbine gearbox. The approach offers a scalable and practical solution for early fault detection, improved mechanical performance, and more reliable wind turbine operations, addressing critical challenges in the wind energy sector.
Relaciones dinámicas entre la Inteligencia Humana y la Inteligencia Artificial en la investigación académica
Authors: Perilla-Granados Juan Sebastián Alejandro
Published: February 2025

Objetivo. Determinar cuáles actividades de investigación académica han de continuar siendo asumidas por los investigadores humanos por representar una limitación a los desarrollos actuales de la Inteligencia Artificial para el contexto de la educación superior actual.
Método. Para validar esta hipótesis se adopta un enfoque de investigación hermenéutico-crítico, el cual busca interpretar avances en investigación previos desde cuestionamientos contextualizados. Para el desarrollo de este enfoque de investigación se acogen métodos cualitativos, que, si bien no descartan la utilización de números, generan la validación de la hipótesis desde el análisis no numérico. Por lo mismo, se adopta como estrategia de recolección de información la revisión documental de productos de nuevo conocimiento catalogados como científicos por el medio en el cual han sido publicados.
Resultados. Los conocimientos de la Inteligencia Humana se organizaron en cuatro niveles para la gestión de los datos de investigación: primero, declarativo; segundo, procedimental; tercero, esquemático; y cuarto estratégico. En el marco de esta clasificación se interpretaron los desarrollos presentes y esperados de Inteligencia artificial, los cuales tienen seis tipos: reactiva, memoria a corto plazo, autónoma, teoría de la mente, general y superinteligencia. En la actualidad se han desarrollado solamente los tres primeros tipos de inteligencia artificial, los cuales corresponden a los primeros dos niveles del conocimiento humano. Por lo tanto, es posible determinar que la Inteligencia Artificial tiene la posibilidad de asumir las actividades de investigación de los dos primeros niveles y la inteligencia humana lo referente a los dos últimos niveles.
Conclusiones. La investigación académica debe aceptar la coexistencia dinámica entre la Inteligencia Humana y la Inteligencia Artificial, considerando que la primera tiene la posibilidad de utilizar a la segunda como un apoyo en la generación del nuevo conocimiento. Mientras que la Inteligencia Artificial puede hacer productos de revisión, la Inteligencia Humana tiene la posibilidad de hacer productos de reflexión y de propuestas para asegurar avances del conocimiento. En consecuencia, la comunidad académica debe privilegiar la publicación de los productos exclusivos de la actividad humana, tanto en sus procesos editoriales como en las estrategias para medir la calidad de las instituciones de educación superior.
Concepts related to quality and associated indicators in transport systems management
Authors: Vircolici Margareta , Sestenco-Diacek Natalia
Published: February 2025

Quality descriptions in the field of transportation derive from the specific characteristics of services, considering that transportation is a fundamental component of the global economy. These descriptions primarily focus on meeting customer requirements but also highlight complex aspects related to the interaction between the transportation system and the natural and socio-economic environment. As societal needs evolve, they must increasingly reflect priorities such as quality of life and sustainable development. The competitivity in transportation is not limited to efficiency, punctuality, or low costs; it also involves environmental and social responsibility. It is essential for transportation systems to minimize environmental impact, support local communities, and contribute to the general well-being of the population. This integrated approach suggests that sustainable transportation can promote not only economic development but also social equity, fostering a more harmonious and sustainable future for all stakeholders. Therefore, quality in transportation becomes a key factor in building a modern transportation system, adapted to contemporary challenges.
The role of emotional intelligence in shaping future marketers
Authors: Chiriac Lilia , Racu Iulia
Published: February 2025

This article explores the importance and how the development of emotional intelligence can influence marketers' performance. Emotional intelligence being a comprehensive concept can be approached from both personal and professional perspectives. Emotional intelligence has considerable influence on how relationships are forged in the workplace and how it drives motivation to excel. Of particular interest is the impact of emotions on personality development and their contribution to job performance. It is a well-known fact that the effective functioning of a company depends very much on the psychological climate in which activities are carried out and on the emotional abilities of the members of the workforce.
The art of personalization in marketing strategies: trends and solutions
Authors: Trifonova Larisa
Published: February 2025

This article examines the strategic role of personalization in modern marketing, highlighting its impact on customer engagement and brand loyalty. With consumer expectations for customized experiences at an all-time high, companies are leveraging popular techniques such as data analytics, artificial intelligence, and customer journey mapping to create highly customized interactions across digital and physical touchpoints. The author’s research analyzes current trends including the use of real-time data, predictive modeling, and omnichannel personalization, while addressing the operational challenges of implementing these innovations at scale. Key solutions to overcome barriers such as data privacy concerns and integration complexities are discussed to guide marketers in developing effective personalized strategies that meet the dynamic needs of consumers in a highly competitive marketplace.
Consumer behavior in the digital economy: the influence of the internet and social media
Authors: Bogdanova Svetlana N.
Published: February 2025

This article focuses on the transformation of consumer behavior in the digital economy, emphasizing the influence of the internet and social media. It examines changes in information-seeking, decision-making, and purchasing processes caused by digitalization. The study reveals that online communications and social platforms have become primary sources of information and significantly impact both the emotional and rational aspects of consumer decision-making. Additionally, the article assesses the role of content personalization and community-building, which affects brand loyalty and consumer engagement. The results obtained may be useful for professionals in marketing, e-commerce, and strategy development to enhance user engagement.
Accounting and allocation of indirect production costs in poultry farming – aspects, problems and solutions
Authors: Tapu Tatiana
Published: February 2025

The experience of accounting for indirect production costs related to both the activities carried out in poultry entities and the framework of other formations in agriculture shows a series of problems related to their systemic registration and distribution. In this article, increased attention was paid to the aspects related to the distribution of indirect production costs, taking into account the degree of capitalization of production capacities in the activities related to the activities developed at poultry entities, the breeding and maintenance of birds at poultry entities.
Interaction of an electromagnetic wave with the surface of a real explosive substance.
Authors: Karpov Artem , Kustov Maksim , Kulakov Oleg , Basmanov Oleksii , Mykhailovska Yuliia
Published: February 2025

To develop the theoretical basis for the effective detection and neutralization of explosive substances using electromagnetic radiation. The problem of detecting explosives is extremely relevant in the modern world. The development of new methods based on the physical principles of the interaction of electromagnetic radiation with matter is a promising area of research. An electrodynamic model of the interaction of an electromagnetic wave with the surface of a VR has been developed. The model takes into account an arbitrary angle of incidence of the wave and two main polarizations – TM and TE. Maxwell’s equations with the corresponding boundary conditions at the interface between two media (air – explosive substance) were used to solve the electrodynamics problems. Different types of explosive substances with different dielectric properties were considered as objects of study. To solve the problem, numerical modeling based on the finite difference method was used. The modeling allowed us to calculate the energy coefficients of reflection, refraction, and absorption of electromagnetic radiation by the explosives. It was found that the efficiency of interaction of an electromagnetic wave with a radiation source significantly depends on the angle of its incidence. The optimal incidence angle for most of the studied radiation sources is in the range of 60 to 75 degrees. For the VRs with low dielectric losses, the influence of the dielectric loss tangent on the imaginary part of the refractive angle is insignificant. This indicates that for such materials the main mechanism of interaction is the reflection of an electromagnetic wave. It has been shown that the energy refractive index has a local extreme (maximum) in the range of incident angles from 65 to 85 degrees. The energy reflection coefficient for a plane electromagnetic wave with vertical polarization increases with the increase of the real part of the relative permittivity according to a law close to the logarithmic law for incident angles less than 60 degrees.
Effect of Acupressure Therapy and Conventional Physiotherapy Exercises vs Conventional Physiotherapy Exercises after 4 weeks on Pain, Stiffness and Physical Function in Patients of Knee Osteoarthritis between 50-65 years of Age
Authors: Kundnani Kareena , Pavnaskar Apoorva
Published: February 2025

Purpose: Previous studies have shown physiotherapy exercises led to improvement in stiffness and physical function, while acupressure acted better on pain. The need of current study is to find out the additive effect of acupressure therapy when used with conventional physiotherapy.
Methodology: A Quasi-experimental study was conducted on 50 chronic knee pain patients in Pune. The subjects in experimental group received acupressure therapy and conventional physiotherapy exercises and subjects in control group received conventional physiotherapy exercises for 4 weeks (thrice a week supervised). Outcomes were assessed twice i.e., at baseline and at the end of 4 weeks. Means for outcomes were compared.
Results: Statistically significant improvement was observed in the values within experimental group (p value:<0.0001*-NPRS and <0.0001*-WOMAC) as well as within control group (p value:<0.0001-NPRS and <0.0001-WOMAC). The mean difference between the values between control and experimental group did not show statistical significance (p value: 0.560-NPRS and 0.442-WOMAC). Clinically significant improvement was observed in stiffness in experimental group.
Conclusion: The effect of acupressure therapy when used along with conventional physiotherapy exercises does not show any added effect on pain, stiffness and physical function.

Key words: Magnet therapy, Strengthening exercise, WOMAC, Knee pain.
Optimizing Mutual Fund Performance: AI-Based Risk and Return Forecasting
Authors: Chaitra S
Published: February 2025

The increasing complexity of financial markets necessitates advanced tools for risk-return forecasting, particularly in the mutual funds sector. This study investigates the role of Artificial Intelligence (AI) in enhancing the predictive accuracy of mutual fund performance, focusing on risk assessment and return optimization. By leveraging secondary data analysis, the research evaluates how AI-driven models, including machine learning algorithms and predictive analytics, improve upon traditional forecasting methodologies. The findings underscore the advantages of AI-based forecasting techniques over conventional statistical and econometric models, highlighting their ability to process vast amounts of data, identify hidden patterns, and adapt to market fluctuations in real-time. Furthermore, the study examines the implications of AI adoption for investors and fund managers, emphasizing its potential to refine investment strategies, enhance portfolio management, and mitigate risks more effectively. This research contributes to the growing body of knowledge on AI applications in financial markets and offers insights into the future of data-driven investment decision-making.
DIGITAL TRANSFORMATION AND CYBER SECURITY CHALLENGES IN THE INFORMATION AGE
Authors: Sarabjit Kaur
Published: February 2025

Digital transformation, one of the themes of the Information Age, is forming the basis of industries, rewarding innovation and fueling economic advancement. However, this advancement becomes faster and engulfs technology and with these new advancements comes a lot of virtual insecurity such as data leakage, privacy violation and increased virtual dangers. Digital transformation was discussed in this article in relation to cyber security in the context of interactions through interconnected systems. On the basis of existing theory, this work assesses the measures that organisations have to implement in order to address these threats where digitalization is implemented. The research also looks at a number of case studies and polices that have already been studied in prior educational work to show the effects that will be analyzed in the following sections on policy and governance, as well as future improvements in technology. The nature of cyber threats is evolving at an incredibly fast pace, making it impossible to implement changes that wouldn’t demand constant investments in training, tools, and processes. As for the restriction of resources, the identification and prevention of breaches are also delayed during incident response. In order to counter these problems, organisations may turn to the use of a third-party cyber security services and products including cyber security-as-a-Service; incorporate automation to enable them achieve greater performances yet minimize workload; as well as engage in security culture campaigns that aim at reaching all organisational workforce. Lack of resources may be a major detriment in the ongoing fight against cyber threats, but better prioritization and alliance can flatten the negative effects of having scarce resources in one’s arsenal.
Ematoma, infezione e difetto della coagulazione
Authors: Iorio Raffaele Federico , Bruzzese Eugenia
Published: February 2025

Febrile limp in paediatric patients is often associated with septic arthritis, but alternative diagnoses must be considered. The paper reports the case of a 10-year-old boy with intermittent fever and persistent coxalgia. Imaging revealed multiple abscess-like collections in the gluteal and thigh muscles. An improperly disinfected knee wound and factor VII deficiency contributed to infected hematoma formation. The isolation of MRSA producing Panton-Valentine leukocidin required targeted antibiotic therapy and surgical drainage. This case highlights the importance of careful differential diagnosis and a multidisciplinary approach in managing deep soft tissue infections.
A violência doméstica e a aplicabilidade da Lei Maria da Penha como prevenção ao feminicídio
Authors: Martins Ana Luísa Oliveira , Bickel Janaína Silveira Castro
Published: February 2025

Objetivo: discutir como a lei n.º 11.340/2006 pode contribuir para diminuir os casos de violência doméstica contra as mulheres e feminicídios no Brasil. Materiais e Métodos: realizou-se uma breve análise histórica da violência contra a mulher, identificando diversas formas de violência e como o descumprimento das medidas protetivas determinadas por lei pode levar ao feminicídio.  Para tanto, utilizou-se uma pesquisa descritiva, bibliográfica, reunindo informações acerca do tema proposto. Resultados: o presente estudo demonstrou que ainda há aspectos a serem melhorados na efetividade da lei n.º 11.340/2006, como fiscalização, aplicação da pena, conscientização social, os quais, com os avanços das medidas públicas aplicadas, poderiam resultar na diminuição da violência contra a mulher. Conclusão: os resultados possibilitaram uma reflexão sobre a importância das campanhas e conscientização para a prevenção da violência contra a mulher, enfatizando a necessidade de reforço para garantir eficácia e minimizar a incidência de feminicídios e violência doméstica.
Student Perspectives on International Collaborative Courses Leading to Micro-Credentials: DigiProf Case
Authors: Daukšienė Estela , Tamoliūnė Giedrė , Volungevičienė Airina , Trepulė Elena
Published: February 2025

Each international virtual course is different mainly due to several factors, including the course design and the experiences each international group brings to the course. Thus, it is not easy to state the requirements for success in virtual mobility courses; however, they have some features in common. The Digiprof case aims to identify the features of international collaborative courses that motivate students to participate in virtual mobility courses. The survey results indicate that successful participation and collaboration in international groups may strongly impact students’ future preferences for participating in virtual mobility courses, and the promise to receive a micro-credential after successfully completing the course may be a solid motivator to choose this course.
Penguatan Konsep Berbasis Pertanian Berkelanjutan di Negara India sebagai Solusi Mengurangi Efek Gas Rumah Kaca (Literature Review)
Authors: Yudianto Tri , Pramono Edi , Rezaldi Firman , Rahmad Sukardi Sugeng , Yenny Ratna Fitry , Gumilar Roni , Trisnawati Desi , Ginaris Rifkarosita Putri , Suminar Erni
Published: February 2025

The conventional agricultural system that is applied tends to use chemicals such as pesticides, on the one hand, providing various positive impacts, including increasing productivity quickly, meeting food needs efficiently, and helping food insecurity as often occurs in India. Sustainable agricultural systems are aimed at reducing environmental damage, maintaining agricultural productivity, increasing farmers' income and improving the stability and quality of life of rural communities. Three big indicators that can be seen are that the environment is sustainable, the economy is improving (prosperous), and it is socially accepted by the farming community. Other negative impacts on conventional agricultural systems include decreasing soil quality, giving rise to new pests and diseases, environmentally friendly microorganisms becoming extinct, toxic chemicals threatening the condition of the biosphere in the food chain. The concept of organic farming that is applied ideally is based on optimal, balanced, efficient management of land, water and land, so that existing biodiversity is one of the external efforts to provide a positive impact. In writing this literature review, the sections that will be discussed include the application of conventional agricultural systems that occur in India, suggestions and improvements that can be implemented based on potential such as modeling greenhouse gas emissions from agriculture, GHG (Greenhouse Gas) mitigation from agriculture, absorption of element C in agricultural soil, conservation agriculture, reducing nitrous oxide emissions, economic implications of greenhouse gas mitigation, and the use of butterfly pea flower kombucha in agricultural aspects
Evaluation System of Scientific Research Performance of Humanities and Social Sciences Teachers in Chinese Universities
Authors: Deng Wentao
Published: February 2025

This study takes Tianjin S University as an example to conduct an in-depth study on the research performance evaluation system of humanities and social science teachers in Chinese universities. Through comprehensive quantitative and qualitative methods, the advantages and existing problems of the evaluation system were comprehensively analyzed. Research has found that the current evaluation system emphasizes the number of papers, project topics, and the level and quantity of rewards, but there is still a lack of recognition of diverse research contributions. It is recommended to further improve the system, expand the scope of academic contribution evaluation, and promote more comprehensive scientific research performance evaluation. This study collected multi-dimensional data on papers, topics, awards, etc., and classified them according to different professional titles. Bayesian algorithms were used to train and establish classification models, providing a relatively mechanical classification reference for optimizing the performance evaluation system of scientific research in Chinese universities. It helps to promote the comprehensive development of educational research in the field of humanities and social sciences. By providing useful insights for decision-makers, administrative managers, and teachers, this study aims to promote the continuous improvement of the research performance evaluation system in Chinese universities, thereby creating a more favorable environment for academic progress and knowledge innovation.
Carbon Nanotube and Its Application in Transistor and Sensor
Authors: Peng Chuanqi
Published: February 2025

Carbon nanotubes (CNTs), a new type of nanomaterial, exhibits typical circular tube structure. CNTs have excellent mechanical, electrical, and chemical properties. CNTs have excellent mechanical, electrical, and chemical properties. With the deepening of research on nanomaterials, their application fields have been expanded in recent years. It has become one of the most commonly used functional materials in the semiconductor field. The use of CNTs for modification in transistors has become a research hotspot. At the same time, as a key material for improving the performance of sensors, CNTs are also receiving increasing attention. In this article, the main electrical properties of CNTs were discussed. In addition, the current-voltage relation is also studied in different transistors. For CNT-based transistor, MOSFET and Schottky barrier field effect transistor (SB FET) were highlighted. The application of CNTs in sensors has also been introduced. Bare CNTs used for sensors were reviewed. Several different modification methods are introduced for this type of sensor. Metal particles, organic groups, and aromatic hydrocarbon for modification of CNT sensors have been discussed. According to different characters, they could be applied in real-time detecting and biochemical environment detecting.
An optimization method of machine learning model for image recognition by transferring images in grayscale
Authors: Xiao Bowen
Published: February 2025

When applying image recognition based on machine learning, TensorFlow framework based on convolutional neural network is often taken in consideration. Generally speaking, current image recognition program designed on TensorFlow are comprehensive enough with high accuracy in identifying images. However, when analyzing blurry images with less targets to recognize, existing models may not work as accurately as expected. This study aims at providing ideas for optimizing machine learning model for image recognition by transferring images in grayscale. In this article, animal data set was applied as test data to analyze since animal images are usually simple and concise which exactly meet our requirements. The study compared the prediction outcomes by the scale of accuracy. As the test showed, the proposed model archived better results using gray scaled image for classifying blurred image with the accuracy of the prediction raised from 33.03% to 94.01% in one test. The result suggested that applying grayscale images to improve the accuracy of blurry image recognition based on machine learning is a feasible and efficient proposal.