bluuebunny/crossref_metadata_2025 huggingface dataset:
SAFETY ASSESSMENT OF SOYBEANS EXPOSED TO GLYPHOSATE USING IN VIVO ASSAY
Authors: Segovia Corrales Edith Alba , Arrua Romina , Kurita Hajime , Oviedo de Cristaldo Rosa , Ayala Lider
Published: January 2025

Soybean (Glycine max (L.) merrill) is the main economic crop in Paraguay, where conventional and/or transgenic varieties are planted. Possible side effects of GM soy are still under discussion The aim of this study was to evaluate the mutagenic effect of three varieties of soybean two transgenic BRS 245 RR; Nueva Andrea 66R (T1, T2) and a conventional BRS 232 (T3) exposed to Glyphosate in the diet of mice using in vivo trials. Methods: tests were carried out in a murine model. Two trials were performed, first feeding BALB/C mice for 14 days and 42 days with T1 and T3, then feeding Swiss albino mice for 14 days with T2 and T3. Treatments were done in two groups: without glyphosate (G0) and with glyphosate (G1). The animals treated for 14 days were tested for Micronucleus and the animals treated for 42 days were tested for Micronucleus and Chromosomal Aberration. Results: Both trials had no mutagenic effects in mice. It is concluded that the soybean varieties evaluated did not present mutagenic effects (aneugenic or clastogenic) under these experimental conditions.
Beneficios de las incubadoras de negocio en el desarrollo económico de los emprendedores de la Zona Norte de Manabí
Authors: Alava Intriago Jhon Arturo , Arteaga Muñoz Karina Cecilia , Andrade Vera José Isidro , Alava Arteaga Nadia Nathalie , Mala Quinapallo Marcos Argenis
Published: January 2025

Las incubadoras de negocios son organizaciones que potencian el desarrollo económico de una región, al proporcionar varios beneficios a los emprendedores. La presente investigación está orientada en analizar los beneficios de las incubadoras de negocios en la Zona Norte de Manabí, en áreas de impacto económico como la generación de empleo, creación de empresas y mejora de la competitividad. Se empleó el método cualitativo enfocado en el análisis documental de 53 investigaciones publicadas entre 2019 y 2024. La búsqueda bibliográfica se realizó en bases de datos académicos, revistas indexadas y libros digitales, utilizando palabras clave como “incubadoras de negocios”, “emprendimiento”, “desarrollo económico”, etc. Los resultados de la investigación demuestran que las incubadoras de negocios son uno de los pilares fundamentales que inciden en el desarrollo económico de los empresarios de la Zona Norte de Manabí y el Ecuador. Se concluye que las incubadoras de negocios proporcionan valiosos beneficios que se encaminan en la creación de oportunidades laborales, la construcción de empresas a partir de ideas innovadoras y la optimización de la competitividad empresarial de los emprendedores de la localidad. Los benéficos que brinda la incubación permiten mitigar las dificultades surgidas entorno a la pobreza y la desigualdad social, causadas por el desempleo y la inestabilidad económica que atraviesa el país. No obstante, esta investigación busca inspirar a los estudiantes universitarios y a los emprendedores a iniciar sus propios negocios y a tomar decisiones informadas, aprovechando los beneficios de la incubación.
Revisión de las topologías de convertidores de potencia plena para sistemas de conversión de energía eólica basados en generadores síncronos de imanes
Authors: Mahtani Kumar
Published: January 2025

Este artículo ofrece una revisión general de las topologías de convertidores utilizadas en los sistemas de conversión de energía eólica de Tipo 4 con generadores síncronos de imanes permanentes (PMSG). Los sistemas de Tipo 4 basados en convertidores back-to-back de plena potencia pueden funcionar para maximizar el rendimiento de los aerogeneradores para la velocidad variable del viento, facilitar el desacoplamiento de la red y reducir las necesidades de mantenimiento. El artículo compara distintas configuraciones de convertidores, como los rectificadores de diodos, convertidores de seis conmutadores, rectificadores Viena, convertidores de fuente Z, convertidores de nueve conmutadores, convertidores multinivel y convertidores matriciales, y describe sus principios de funcionamiento, ventajas e inconvenientes. Cada topología se ha estudiado con respecto a su eficiencia, fiabilidad, calidad de potencia, coste y aplicabilidad a los sistemas de energías renovables. Los resultados subrayan el papel fundamental que desempeña la electrónica de potencia en la introducción en el mercado de nuevas generaciones de dispositivos de energía eólica y orientan en la elección de la topología de convertidor óptima para ofrecer una conversión de energía fiable, eficiente y económicamente atractiva en los esquemas contemporáneos de conversión de energía eólica.
POTENCIAL ALELOPÁTICO DA PALHADA E COMPETIÇÃO DE PLANTAS DANINHAS NA SOJA
Authors: Maciel Lucas Carneiro , Soares Nathalia de Souza Oliveira , Collicchio Erich , Erasmo Eduardo Andrea Lemus , Terra Thiago Gledson Rios
Published: January 2025

O objetivo desse estudo foi avaliar a interferência causada por competição e efeito alelopático da palhada de espécies de plantas infestantes sobre a cultura da soja (Glicyne max L.). Dois experimentos foram conduzidos na estação experimental da Universidade Federal do Tocantins, em Gurupi (11°44'46,5"S 49°03'10,5"W), estado do Tocantins, Brasil. O delineamento foi o de blocos ao acaso com quatro repetições e dez tratamentos: nove espécies de plantas infestantes. No primeiro experimento as plantas infestantes conviveram com a soja durante todo o ciclo. E no segundo, os resíduos vegetais das plantas infestantes foram colocados na superfície do solo. Realizou-se a análise de altura de planta aos 30 e 60 dias após a emergência, altura da primeira vagem, área foliar, matéria seca da parte aérea, número de vagem por planta e produtividade da cultura da soja. Todas as espécies apresentam efeito negativo sobre a cultura da soja, variando em diferentes intensidades de interferência. As palhadas das plantas infestantes não apresentaram efeito sobre os caracteres avaliados da soja.
Architecture and Videogame, The Spatial Connectivity and Digital Twinning
Authors: Meesupya Prin , Kittisakdinan Likit
Published: January 2025

This research examines the evolving relationship between advanced computerization in video games and architectural design. It traces gaming development from arcade systems to 2D and 3D perspectives, each representing different visual experience models of their eras. By analyzing technological advances in gaming, the study explores how evolving equipment has transformed players’ perceptual experiences, fostering innovative reading approaches. The investigation emphasizes the role of advanced computer systems in upgrading game visuals to achieve heightened realism or hyperrealism. The digitalization of architectural spaces, developed through virtual experiences, challenges traditional boundaries and promotes new perspectives. This transformation emphasizes the interplay between architectural design and the video game industry. Designing virtual spaces and interiors in video games resembles architectural spatial realization. The theoretical framework used in generating virtual spaces in video games could serve as a basis in design of actual spaces. This research explores architectural projects through the lens of video game media, emphasizing how mechanisms and concepts from gaming technology connect with and enhance architectural creativity. It investigates how the dynamics of spatial perception in virtual reality could enrich real-world architectural design. Supported by case studies of three completed public projects, the study focuses on human sensory experiences through the theoretical emphasis between designing architectural spaces in relation to designing videogame spaces.
Leveraging Data Analytics to Bridge Educational Inequities Globally
Authors: Kumari Sangeeta , Dayal Rajeshwar
Published: January 2025

Introduction: It is the foundation for improving society, facilitates economic growth, achieves social equity, and incites innovation. Global educational trends indicate a vast discrepancy in literacy, enrollment, gender parity, and access to resources.Objective: Regional inequities, gaps in gender inequality, and resources are the biggest challenges facing universal quality access to education. Method: Since the research uses the Kaggle global education dataset to analyze these trends, it provides a more complete study of current challenges and achievements. Data-driven insights establish patterns, reveal disparities, and provide insight into what needs the most urgent attention. Result: The final aim is to empower the policymakers and the education stakeholders with the information necessary for creating the appropriate policies and reform practices.Conclusion: This research thus contributes to the larger goal of making the global education system more equitable and inclusive, in which everyone will have the opportunity to learn.
Detection of Harmful Objects Using Deep Learning Models
Authors: Ganesh Chilukuri , Harshavardhan Gandikota , Radha Sri Keerthi Naishadham , Veer Yabaji Raj , Yabaji Rajveer , Sadhu Meghana
Published: January 2025

The identification of harmful objects is vital for maintaining public safety in areas like transportation, security, and manufacturing. Conventional methods for detecting such objects often depend on manual inspection, which can be both labour-intensive and prone to errors. Recently, deep learning models have proven to be highly effective in automating object detection tasks, leveraging their capability to recognize intricate patterns and features from extensive datasets. Our dataset includes over 9,000 images spanning five categories: alcohol, blood, cigarette, gun, and knife. This document provides a detailed analysis of deep learning approaches for harmful object detection, focusing on techniques like convolutional neural networks (CNNs), region-based CNNs (R-CNN), and transfer learning models such as VGG16, while also comparing the performance across various deep learning models.
Competitiveness of commercial enterprises in the southern regions of Ukraine
Authors: Banyeva Iryna , Bielibov Oleksandr
Published: January 2025

In the modern economy, competition between commercial enterprises in the regions is becoming more acute and intense. Each company strives to strengthen its position in the market, attract more customers and provide a stable income. However, to achieve a competitive advantage, it is necessary not only to follow market trends, but also to actively develop own strategies and business models. The purpose of the study was to investigate the competitiveness of commercial enterprises in the southern regions of Ukraine. The following research methods were used: graphical – for displaying the dynamics of indicators; tabular – for calculating changes in indicators; calculation of an integral indicator – for determining the most competitive trading enterprises in the southern regions. It was determined that the most fundamental character is the competitiveness of management and entrepreneurial ideas. The factors of external (the number of available population, the number of registered unemployed, the inflation index) and internal (export, import, retail trade turnover, the number of enterprises, the average salary of full-time employees, the number of full-time employees, capital investments) environment of commercial enterprises that affect their competitiveness were highlighted. As a result of the study, a decrease in retail trade turnover in the southern regions of Ukraine was revealed. In three years (2020-2022), the number of commercial enterprises has significantly decreased. The volume of exports (except for the Odesa region, where exports increased) and imports of commercial enterprises in the southern regions of Ukraine decreased, as did the number of available populations in all four regions, and the number of registered unemployed, but the average salary increased. The number of full-time employees at commercial enterprises decreased in Mykolaiv and Kherson regions, but in Zaporizhzhia and Odesa regions it increased. The volume of capital investments of commercial enterprises of the Zaporizhzhia region increased, but decreased in commercial enterprises of the Mykolaiv, Odesa and Kherson regions. There was a negative trend towards an increase in the inflation rate. It was determined that in 2022 the most competitive commercial enterprises were in the Odesa region, and the least – in the Kherson region. The practical significance of the study lies in the use of the integral assessment method to determine the competitiveness of commercial enterprises
Increasing the financial potential of investment activity of business entities
Authors: Krylovskyi Vladyslav
Published: January 2025

The study aimed to address the tools and strategies for optimising the use of financial resources of business entities to ensure their investment capacity. The study also addressed the key aspects of the financial potential of enterprises and its role in ensuring investment attractiveness in conditions of economic instability, in times of war. The structure of financial potential, which includes domestic and borrowed financial resources, the ability of an enterprise to fulfil financial obligations and adapt to changes in the market, as well as the relationship between financial potential and investment activity, was investigated. The analysis revealed that the financial potential of an enterprise determines its ability to effectively accumulate, distribute and use financial resources to achieve stability and ensure competitiveness in the market. The analysis of sources of financing for investment projects in Ukraine, including the use of both internal and external financial instruments, such as bank loans, bonds, venture capital, and international financial assistance, was highlighted. The study determined that the limited internal resources and high cost of borrowed capital leave small and medium-sized enterprises with limited financial capabilities in their investment initiatives. The conclusions indicate that in the context of crises and war, Ukrainian enterprises are demonstrating significant adaptability by introducing new approaches to financial planning, through digital technologies to optimise financial flows. In addition, corporate social responsibility is an important element that can significantly increase investment attractiveness. To strengthen the financial potential of enterprises and attract investment, it is necessary to intensify cooperation with state and international financing programmes that will contribute to the development of innovative projects and infrastructure restoration in the face of economic instability
The Influence of Price and Promotion on the Decision to Use Services at Rosebeauty Studio in Pasar Kemis Tangerang Banten
Authors: Cahyani Herdina Dwi , Munarsih
Published: January 2025

The purpose of this study was to determine how Price and Promotion Influence the Decision to Use Services at Rosebeauty Studio in Pasar Kemis Tangerang both partially and simultaneously. The method used in this study is an associative method with a quantitative approach. The sampling technique used is the Slovin technique with a sample of 98 respondents. Data analysis using validity tests, reliability tests, classical assumption tests, descriptive analysis, simple regression analysis, correlation coefficient analysis, determination coefficient analysis and hypothesis testing. The results of this study price has a positive effect on user decisions with the regression equation Y = 18.028 + 0.579 X1. The correlation value of 0.621 means that the two variables have a strong relationship with a determination coefficient of 38.6% while the remaining 61.4% is influenced by other factors. Hypothesis testing obtained t count> t table or (67.765> 1.985). Thus H0 is rejected and Ha is accepted, meaning there is a significant influence between price and decision to use services. Promotion has a positive effect on decision to use services with the regression equation Y = 8.293 + 0.774 X2, the correlation coefficient is 0.754, meaning that both variables have a strong relationship with a determination coefficient of 56.8% while the remaining 43.2% is influenced by other factors. Hypothesis testing obtained a calculated t value> t table or (11.242> 1.985). Thus H0 is rejected and Ha is accepted, meaning there is a significant influence between Promotion and decision to use services. Price and promotion have a positive effect on decision to use services with the regression equation Y = 6.931 + 0.185 X1 + 0.635 X2. The correlation coefficient value or level of relationship between the independent variable and the dependent variable is obtained at 0.768, meaning that it has a strong relationship with a simultaneous determination coefficient value of 58.9% while the remaining 41.1% is influenced by other factors. Hypothesis test obtained F count value > F table or (68.152 > 3.090). Thus H0 is rejected and Ha is accepted. This means that there is a significant simultaneous influence between price and promotion on the decision to use services at Rosebeauty Studio in Pasar Kemis Tangerang.
A Study on the ESG Management activities and Tenant Behavior of Logistics Real Estate : Focusing on the mediating effect of customer value by level of management activities
Authors:   Korea Real Estate Industry Society, Lee Tae-Ho , Lee Dae-Hoon
Published: January 2025

The purpose of this study is to verify the influence of ESG (Environmental, Social, and Governance) management activities of logistics real estate lessors on tenant behavior, and to conduct an empirical analysis of the mediating effect of customer value according to different levels of ESG management activities. Through this, the study aims to raise awareness of the importance of ESG management activities and customer value management in logistics real estate, while proposing strategies for improving operational income and enhancing asset value.
For the qualitative research methods required for hypothesis development and verification, theoretical reviews and prior studies were examined, and the main variables and data needed for the research model were cited from existing literature. The quantitative research methods involved empirical analysis of the research model through t-tests and multiple regression analysis using SPSS Process Macro Model 4.
The study results are as follows: First, it was confirmed that there is a statistically significant difference depending on the level of the moderating variable, the lessor's ESG management activities (total group/low group/high group).
Second, the independent variables influencing tenant behavior were ranked in the order of governance activities > social responsibility, and differences were observed depending on the level of ESG management activities.
Third, it was found that the lessor's ESG management activities had a statistically significant impact on tenant behavior through the mediating effect of customer value, with differences confirmed according to the level of ESG management activities.
Hydrological Analysis of Water Treatment Plan (WTP) in Karian Dam Upstream
Authors: Trisadi Difha , Minarni Nur Trilita  , Iwan Wahjudijanto
Published: January 2025

Abstract
Rainfall or discharge data is obtained from the river basin authority by conducting hydrological analysis using the Nakayashu Synthetic Unit Hydrograph method to obtain the peak flood discharge and performing a dependable flow analysis (Q80%) using probability equations. On January 2, 2020 there was a flash flood that destroyed at least 1,410 houses, 30 bridges and hydraulic buildings located in the ciberang river flow among them is the PDAM row water intake structure. The need for hydrological studies to predict flood discharge as data needed in planning the stability of hydraulic building structures and determining the water surface elevation for intake operations. The results of the hydrological study of the Ciberang watershed obtained the design flood discharge values for specific return period of Q2 = 205,1 m3/s, Q5 = 340,5 m3/s, Q10 = 406,4 m3/s, Q25 = 475,6 m3/s, Q50 = 518,1 m3/s, Q100 = 549,6 m3/s. The estimated historical flash flood discharge that occurred in early 2020 in the ciberang river upstream of the Karian reservoir based on the testimony of residents as high as 8 meters is equivalent to the design discharge for Q25, which is 475.6 m³/s. The results of the dependable discharge (Q80%) calculations for the Ciberang watershed indicate that the minimum discharge occurs in September at 7.22 m³/s, while the maximum discharge occurs in February at 37.0 m³/s.
 
Keywords: Hidrology, Rainfall Plan, Flood Discharge Plan, Dependable Discharge.
Larvicidal Efficacy of Calotrophis Procera, Annona Squamosa and Tridax Procumbens Leaf Extracts against Vector Mosquitoes (Diptera: Culicidae)
Authors: Sheribha P. Beautlin
Published: January 2025

Mosquitoes are the most important single group of insects in terms of public health importance, which transmit a number of diseases, such as Malaria. Filariasis, Dengue, Japanese encephalitis, causing millions of deaths every year. Repeated use of synthetic insecticides for mosquito control has disrupted natural biological control systems and led to resurgences in mosquito populations. It has also resulted in the development of resistance, undesirable effects on non- target organisms and fostered environmental and human health concern. Plants are considered as a rich source of bioactive chemicals and they may be an alternative source of mosquito control agents. In the present study the plant extracts of Calotrophis, Annona and Tridax were screened for their larvicidal activity against mosquito. The mean and percentage mortality was noted at 24, 48,72 and 96 hours of continuous exposure increases. Among the three leaf extracts tested Calotrophis leaf extract is more effective than the others.
Perspectives from Developers and Users of the GOA-ON in a Box Kit: A Model for Capacity Sharing in Ocean Sciences
Authors:   The Ocean Foundation, Valauri-Orton Alexis Valauri-Orton, , Lowder Kaitlyn , Currie Kim , Sabine Christopher , Dickson Andrew , Chu Sophie , Acosta Alberto , Asuquo Francis , Bermudez Rafael , Bilounga Ulrich , Boodhoo Kishore , Botwe Benjamin , Chapa-Balcorta Cecilia , Cossa Damboia , De Cian Antonella , De Ramon N’Yeurt Antoine , Edworthy Carla , Epherra Lucia , Ferrera Charissa , Havimana Lindon , Imrit Yadhav , Kumar Kotra Krishna , Mahu Edem , Neehaul Yashvin , Pickering Azaria , Ramessur Roshan , Soapi Katy , Sohou Zacharie , Tabius Merianne , Vuiyasawa Miriama
Published: January 2025

Providing reliable instrumentation that enables collection of high-​quality, comparable data is one of the most challenging aspects of establishing ocean acidification monitoring programs. This is especially true for under-resourced countries, where such data are mostly unavailable. In 2016, The Ocean Foundation (TOF) worked with international bodies, including the International Atomic Energy Agency’s Ocean Acidification International Coordination Centre and the Global Ocean Acidification Observing Network (GOA-ON), and subject matter experts to develop a set of equipment known as the “GOA-ON in a Box” kit (The Ocean Foundation, 2017). This comprehensive kit provides researchers with everything needed—down to specialized rubber bands—to obtain weather-quality carbonate system measurements as defined by GOA-ON (Newton et al., 2015). Data are generated from spectrophotometric measurements of pHT and manual titrations for total alkalinity from discrete samples as well as in situ sensors, the iSAMI-pH and a CTD. The kit’s modular design, composed of nearly 100 unique items, makes it much less expensive than comparable integrated systems and allows for easier troubleshooting and replacement of supplied spare components.
The Validity of Critical-Algebraic Model: A Case Study in Promoting Students’ Critical Thinking in Algebra Learning in Junior Secondary Mathematics
Authors: Liu Wei , Affas Huda
Published: January 2025

This study aims to determine the validity of applying the critical-algebraic model in promoting students’ critical thinking skills in algebra learning for junior secondary mathematics education.  This study used mixed-method research. The instruments used in this study were surveys, tests, and interviews. A total of 132 Year 7 students were interviewed; the quantitative data was collected through the survey, which provided information about how students defined themselves using critical skills in learning algebra. Nine mathematics teachers were interviewed to collect information about critical thinking skills, algebraic learning, and the challenges of learning algebra based on the quantities of data needed to design and write the pre-test and post-test. Assessment phases, including pre-test and post-test, were used to assess students’ levels of critical thinking skills before and after the implementation of the model.  Two classes - one class (28 students) served as a control group, and another (28 students) served as an experimental group; both classes attended the pre-tests, and the experimental group was given a post-test after implementing the model. Mean and standard deviation were analysed via SPSS to prove the model's validity. This study used the Holistic Critical Thinking Scoring Rubric to assess critical thinking levels. The resulting data indicate that 36% of the students understand critical thinking skills in algebra. Through the application of the model,  25.76% of students improved their critical thinking skills, and the number of students whose critical thinking skills level is under satisfactory has decreased from 22% to 8.70%, which can be concluded that appropriate implementation of the model will provide effective teaching and learning. These findings have implications for developing students’ critical thinking skills via applying the model. It also states that teachers are essential in promoting students' critical thinking in algebra learning.
International Humanitarian Law and the Waging of War in Ukraine: Integrative Review
Authors: Orzhynska Elvira , Frolov Mikhaylo , Haidak Oleksandr , Каmardina Yuliia , Kochyn Vladyslav
Published: January 2025

The study examines the legal regulation of warfare in Ukraine under international humanitarian law (IHL). Its primary goal is to identify challenges in implementing international norms within Ukraine's ongoing armed conflict and evaluate their effectiveness in protecting civilian rights. The research methodology relies on bibliometric and documentary analysis. Relevant publications were retrieved from databases such as Scopus, Web of Science (WoS), Google Scholar, and JSTOR to ensure comprehensive access to pertinent academic sources. Articles were selected based on keywords related to IHL, such as war crimes, civilian protection, new warfare forms—cyberwarfare and drone technologies. The PRISMA methodology facilitated a systematic selection process, enhancing transparency and minimising bias. Out of 180 identified articles, 52 were included in the analysis after removing duplicates and those irrelevant to the research focus. The study highlights numerous violations of IHL by conflict parties, including prohibited warfare methods like the use of cluster munitions, attacks on civilian infrastructure, and forced deportation of civilians. While international mechanisms to enforce accountability for IHL violations exist, their practical implementation during the war in Ukraine faces significant challenges. The findings reaffirm that IHL remains a cornerstone for protecting civilians during warfare. However, its effectiveness depends on the international community's political will and the capacity to impose sanctions for violations. The study's novelty lies in its integrative approach, combining legal and quantitative analyses of specific IHL breaches in Ukraine. This research contributes to understanding the role and limitations of IHL in modern armed conflicts.
Digital Technology: The Impact of Women's Decision to Work from Home in Informal Sector
Authors: Yuliandari Suharsi Dewi , Ashar Khusnul , Satria Dias
Published: January 2025

Since the 1970s, Indonesia has gradually shifted from the agriculture sector to the industry with sustained economic growth, increasing women’s participation in the workforce participant from 32.65% in 1980 to 53.41% in 2022. Many women choose the informal sector for its flexibility, supported by internet use and the trend of working from home. Despite challenges, advancements in education and technology have bolstered women's economic contributions. This study explores the factors influencing women’s decision to work in the informal sector from home. This study analyses data from the National Labor Force Survey (SAKERNAS) 2022 involving 139,870 individuals to identify the factors that drive women to work in the informal sector from home. It includes a descriptive analysis of the characteristics of women working, such as age, marital status, education level, residential location, and internet technology use. It employs binary logistic regression for Inferential analysis. The results showed that the number of female internet users is lower than males, with 31% of women working in the informal sector from home using internet technology. In contrast, only 10.16% of those not working from home use it. Significant differences in internet technology use between those working from home (31%) and those who do not (10.16%) may be due to limited access to home internet infrastructure, reliance on public facilities or workplaces, and differences in education levels and technology skills: among women in the informal sector, 38.1% work from home and typically aged 42-43 years, while 61,9% work outside and are aged 45-46. Of those working outside, 92% are married, compared to 88.55% working from home. Most home-based workers have secondary education, while most non-home-based workers only complete primary education.
Care Beyond Limitations: Lived Experiences of Non-specialized Nurse Practitioners Handling Breast Cancer Patients
Authors: Barotas Gizelle Agnes S. , Dinampo Reah Angela F. , Mag-abo Wendy D. , Osorio Princess Angeli E. , Taylor Godwin Jacob T. , Barroso Carina Joane Villareal , Prisno Eliseo L.
Published: January 2025

The increasing prevalence of breast cancer, coupled with the shortage of oncology nurses, places the responsibility of patient care on non-specialized nurse practitioners. Despite limited training and expertise, these nurses strive to address the multifaceted needs of breast cancer patients. This study explores the lived experiences of non-specialized nurse practitioners in providing care for breast cancer patients within various health settings in Malaybalay City, Bukidnon. Employing a qualitative descriptive phenomenological research design, the study used purposive sampling to select seven (7) non-specialized nurse practitioners as participants. Data were collected through in-depth, face-to-face interviews, which were recorded, transcribed, validated, and refined for accuracy. Colaizzi’s descriptive phenomenological method guided the data coding process, while Van Manen’s lifeworld existential framework informed the analysis. Three themes emerged from the findings: (1) caring with caution, (2) caring with grit, and (3) caring with confidence. The results reveal that non-specialized nurse practitioners evolve through their experiences in breast cancer care, overcoming initial limitations and progressively building competence and confidence. Continuous patient interactions serve as a catalyst for professional growth, with experience becoming their greatest teacher. This study underscores the resilience and adaptability of non-specialized nurse practitioners and highlights the importance of providing targeted training and support to enhance their skills and confidence in managing complex cancer care.
Brower blowfish nash secured stochastic neural network based disease diagnosis for medical WBAN in cloud environment
Authors: M. Iniyan  , A. Banumathi
Published: January 2025

The trending technology in Wireless Sensor Networks (WSN) is to improve the healthcare system by using Wireless Body Area Networks (WBANs). Implantable Sensor and wearable sensors are inexpensive technology, which are designed to track the body signals and to get intermediate physical activity status. This is considered as an unremarkable choice for continuous health monitoring. In recent years, various routing protocols had been designed to provide reliable data transmission in WBAN. However, many of these protocols are not focused more on security aspects such as data confidentiality and data integrity in medical data transmission. And also, the energy efficient communication methods have significantly vulnerable to various attacks due to the lack of computationally efficient authentication and authorization process. To rectify the drawbacks of existing system a new approach Brower Blowfish Nash-secured Stochastic Neural Network-based (Brower BNSNN) is proposed for medical data transmission through WBAN in cloud environment. The Brower BNSNN method is designed to perform data collection, compression, encryption/decryption and anomaly detection for medical WBAN disease diagnosis in cloud environment. First, distinct numbers of sensor nodes that are attached in the bodies of multiple patients collected for further validation and anomaly detection. Secondly Fixed Point-based compression is performed in the cloud by the cloud user. The sensor nodes compress their sensed data into WBAN messages and sent to cloud server for further processing and from this data confidentiality and data integrity are ensured. Third step is Blowfish Nash Equilibrium-based encryption and decryption is applied to the compressed data to ensure security during the communication between devices or cloud server. Finally, Stochastic Neural Network-based anomaly detection model is designed to perform anomaly detection via authorization process. The designed network performs two-stage authorization such as validating sub-keys and checking kernel process attacks and network logs attacks. Simulations are performed to measure and validate the performance metrics in terms of data confidentiality, data integrity, disease diagnosis accuracy, authentication, in Health Monitoring System.
A framework for diabetes diagnosis based on type-2 fuzzy semantic ontology approach
Authors: V. Manikandabalaji  , R. Sivakumar  , V. Maniraj
Published: January 2025

Diabetes mellitus is a significant metabolic disorder that may last a lifetime and affects a great number of people throughout the world. Two major critiques that may be levelled at the ontology-based tools that are presently being used to analyse and treat diabetes are an increase in semantic incompatibility and an inability to interpret the information. Both of these complaints have the potential to be severe issues. Furthermore, clinical decision support systems, often known as CDSSs, play an important role in the diagnosis of diabetes. As a consequence, the outcomes of this study project advised that a new semantically intelligent Type-2 fuzzy CDSS for diabetes diagnosis be developed. The following steps are included in the proposed system: feature definition, semantic modelling, type-2 fuzzy modelling, and knowledge reasoning. This research endeavour is critical since there are currently so few works that address the formal integration of ontology semantics with Functional Electrical Stimulation (FES) reasoning, particularly in the medical arena. The system that was constructed takes into consideration the ontology-semantic similarity of the concepts that are relevant to diabetes complications and symptoms while doing a fuzzy rule analysis. The proposed approach is put to the test using a real-world dataset, and the results show that it has the potential to help both individuals and medical experts provide more accurate diabetes diagnoses. The suggested technique was tested on a real dataset, and the findings show that it has the potential to help physicians and patients diagnose diabetes mellitus more correctly.
A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology
Authors: V. Manikandabalaji  , R. Sivakumar  , V. Maniraj
Published: January 2025

With prestigious recognition of diabetes and appraisal it is very essential in healthcare domain for treatment effectiveness and control. Conventional techniques typically rely on arduous and error-prone manual scrutiny of medical records and symptoms. To overcome those challenges, this research proposes a Type II Fuzzy Differential Evolution based Semantic Ontology (T2FDESO) methodology to assist in the identification and diagnosis of diabetes. The T2FDESO techniques which combines the current state of art advantages like fuzzy logic, differential evolution concept for semantic ontology helps in improving the efficiency and accuracy research. The method uses Type 2 fuzzy logic to model the inaccuracies and imprecision’s in medical data, delivering a reliable decision support. Applying the differential evolution method increased further improve precision and sensitivity of diabetes diagnosis model. All medical knowledge is codified using a uniform semantic ontology and relations among different terms that occur in a statement are explicitly represented by the T2FDESO method. The algorithm is capable of deducing these other characteristics related to diabetes well because those are the primary symptoms for which we provided. The integration of domain-specific information is facilitated by its ability to improve the diagnostic process. Additionally, apart from the increased sensitivity and specificity of diagnosis for diabetes which was faster while using T2FDESO method has several other advantages. This system takes advantage of a semantic ontology, which permits sharing expert knowledge across different domains in an integrative manner that keeps the diagnostic process updated with new information and advances on diabetes research, while merging both biological and clinical aspects. Furthermore, the T2FDESO technique well combines various data types such as clinical records and laboratory test outcomes making a comprehensive investigation of patient information. The system can support the collection and organization of domain-specific information in a tree-like structure that assists with clinical decision-making, leading to better patient outcomes. The empirical results on a real-life dataset substantiate the efficacy of T2FDESO over existing approaches, having an immense significance in joint detection and diagnosis of diabetes for medical application. The ability to aid decision-making and timely therapy management could make a large difference in the capacity of healthcare providers offer personalized quality care for subjects with diabetes.
Coefficient of absorption cross-section of RN black holes
Authors: Sammy Kumari , Singh Sumita
Published: January 2025

This study investigates the absorption cross-section of Reissner Nordstrom (RN) black holes at high energies.It also examines the graphical relationship between absorption cross-section, mass and frequency and compares them to those of the Schwarzschild black holes. Some standard approximations like Regge pole technique, Eikonal approximation and Sinc approximation have been used in this study. Using these approximations a relation has been established between shadow radius and absorption cross-section of black holes. The graphical analysis in this study was performed with Origin software. An oscillatory pattern was found in the absorption cross-section of the Reissner-Nordstrom metric for charges Q = 0 to 1.0. The graphical dependence of the total absorption cross-section on frequency indicates an inverse relationship between the charge and total absorption cross-section. For the small value of shadow radii the high energy absorption cross-section of Reissner-Nordstrom (RN) black holes,as approximated by the sinc function, exhibits a slow increase with fluctuations(shadow radius, RS< 6). However, for large value of shadow radii of RN black holes absorption cross-section rises in an exponential manner(RS< 120). The total absorption cross-section and mass variables exhibit an exponential correlation with respect to Schwarzschild and RN black holes. The connection between the sinc approximation and the absorption cross-section of Reissner Nordstrom black holes is calculated, which is crucial for unraveling the physics of black holes.A comparative graphical analysis of absorption cross-section of different types of black holes offers a visual understanding of their similarities and differences.
Renoprotective effect of flavonoids in type-2 diabetes mediated-nephropathy in Wistar rats
Authors: Chettri Rohit , Kumar N Prem
Published: January 2025

A major problem arising from diabetes is diabetic nephropathy (DN), a fatal consequence of uncontrolled hyperglycemia characterized by progressive kidney damage caused by diabetes. Current antidiabetic therapies often exhibit side effects and fail to effectively limit the growth and advancement of diabetes. This study investigated the potential nephroprotective effects of flavonoid-rich Emblica officinalis fruit extract (EOFE) and hesperidin (HSD), alone and in combination, in a diabetic rodent model. After two weeks on the high-fat diet, the rats were administered a sub-diabetogenic dosage of streptozotocin to induce DN. The diabetic rats were given EOFE, low dose HSD (LDH), high dose HSD (HDH), metformin and LDH plus EOFE. Key parameters assessed included serum glucose, antioxidant levels, serum creatinine, blood urea nitrogen, proteinuria, and inflammatory markers (TNF-α, IL-6). DN biomarkers were notably elevated in untreated diabetic rats but attenuated in treatment groups, as confirmed by histopathological analysis. Notably, combined treatment with EOFE and LDH normalized nephropathic biomarkers and histopathological alterations, demonstrating effective nephroprotective activity. These findings suggest that co-administration of EOFE and LDH is a promising therapeutic strategy for managing DN, potentially addressing the limitations of current antidiabetic treatments.
Flavonoids aid in delaying the progression of diabetic neuropathy in type-2 diabetic rats
Authors: Chettri Samuel , Kumar N Prem
Published: January 2025

Diabetic neuropathy (DN), is a debilitating condition primarily synonymous with type-2 diabetes, which heightens the nociceptive response. This study examines the effects of hesperidin, a bioflavonoid, in combination with a flavonoid-rich methanolic extract of Emblica officinalis fruit (MEEF). A modified diet (high fat and fructose) was fed to male Wistar rats for a 14-day duration, along with a sub-diabetogenic dose of streptozotocin for DN induction. Diabetic rats were then dosed with MEEF, hesperidin (high 50% & low 25% dose), combination (low dose hesperidin + MEEF) and metformin (standard). Assessment of parameters such as serum glucose levels, antioxidant status, lipid profile, & TNF-α & IL-6 was conducted. Low-dose flavonoid treatment (hesperidin/ MEEF), known for its antioxidant effects, successfully reduced neuropathy-like symptoms (hyperalgesia) in diabetic subjects. This was shown by increased tail flick response times in hot plate and tail immersion tests compared to diabetic controls and metformin. Restoration of defensive antioxidative enzymes (superoxide dismutase and catalase) in treatment groups was observed, along with an improvement in lipid peroxidation. At the molecular level, the treatment also regulated IL-6 and TNF-α, which aided in recovery by neuroprotection. The findings indicated that combination therapy of hesperidin and MEEF evidently aided in alleviating neuropathic pain induced by hyperglycemia by delaying its progression.
Power quality assessment in solar-connected smart grids via hybrid attention-residual network for power quality (HARN-PQ)
Authors: S. Dhivya  , S. Prakash
Published: January 2025

The aim of the proposed method is to solve the difficulties associated with anomaly detection and real-time data processing in complex network systems. The process begins by collecting data from internet of things (IoT) devices and smart grid sensors. Advanced interpolation techniques are used in pre-processing methods to deal with missing data, while the Isolation Forest algorithm is used to find outliers. Ensures data normalization through robust scaling, reducing the impact of outliers. Higher-order statistics such as skewness, kurtosis, and entropy measures, as well as various statistical metrics such as mean absolute deviation (MAD), interquartile range (IQR), and coefficient of variation (CV) are extracted in the feature extraction process. A unique method called hybrid horse-based zebra optimization (HHZO) is used to select features. It combines the zebra optimization algorithm (ZOA) and the horse herd optimization algorithm (HHO). Weighted ensemble energy quality residual attention network (WEARN-PQ) architecture is proposed for deep learning-based detection, which integrates extended recurrent neural networks (Stack-RNN) and stack-gated recurrent units (GRU) with attention layers and convolutional neural networks (CNN) with residual connections and attention mechanisms. To ensure reliability, split-sampling K-Fold cross-validation is used during training and validation.
Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education
Authors: Okronipa Amanda Q. , Nyame Jones Y.
Published: January 2025

Existing studies that examine the determinants of acceptance and use of health chatbots have often reported inconsistent results. These studies have also predominantly focused on utilitarian factors (such as usefulness and ease of use) to explain health chatbot use behavior. This study examined how human-social characteristics of health chatbots influence user perceptions and continuous use intentions. A research model was deductively developed using inferences from prior studies. A survey questionnaire was employed to gather responses from 348 respondents. The results from the partial least square structure equation modeling analysis revealed that perceived enjoyment, perceived usefulness, and perceived ease of use are significant predictors of continuous use intentions. Also, perceived social presence, perceived attractiveness, and perceived ease of use, significantly influence perceived enjoyment and perceived liking. The findings emphasize that both human-social characteristics influence users to appreciate the functionality and utility of health chatbots which consequently motivates continuous use intentions.