bluuebunny/crossref_metadata_2025 huggingface dataset:
Study and Comparison of Finite Difference Methods for the Numerical Solution of Partial Differential Equations
Authors: Reef Ghazi Albarak
Published: December 2024

This paper presents a comprehensive study of Partial Differential Equations (PDEs), beginning with a general definition and classification into three primary types: parabolic, hyperbolic, and elliptic equations. We focus on the development of finite difference schemes for numerically solving specific PDEs and Ordinary Differential Equations (ODEs), demonstrating their effectiveness through selected examples implemented in Matlab. A general study of some finite difference schemes for the numerical resolution of specific PDEs and ODEs has been conducted. Well-selected numerical examples have been proposed, and numerical implementation of different examples has been carried out using MATLAB. Our study concluded that the numerical methods of finite difference schemes for numerical accuracy of definite PDEs and ODEs have had good effectiveness and this has been verified by the numerical examples that have been implemented using MATLAB software.
INVESTIGATING THE ROLE OF DATA ANALYTICS IN MONITORING AND MANAGING ENERGY CONSUMPTION IN SMART HOMES, AIMING TO ENHANCE EFFICIENCY AND REDUCE COSTS
Authors: Dorcas Oyebode  , Yasin Arafat  , Mohammad Amit Hasan  , Anwar Hossain  , Kazi Abdullah Al Imon  , Ali Majid
Published: December 2024

Smart home technology is progressing rapidly due to the need for better energy management and resulting new potentials for controlling energy. While smart homes use different connected IoT devices, energy meters, and sensors to gather a massive amount of data that is used to gain insight into energy consumption. This data is governed by data analytics so as to come up with actionable information that the homeowners can put to use in tracking their usage and, in turn, altering it. Energy management in smart homes is particularly critical for individual homes and on a global scale given the rising costs of energy and the fast-rising need for energy sustainability in the world today. The data used in this study to determine the feasibility of data analytics in managing energy systems in smart homes is gathered using both quantitative and qualitative research studies. The main data for this study is collected by Internet of Things (IoT) connected smart devices and energy monitoring sensors that are randomly selected smart homes depending on energy consumption, peak consumption, and cost. Machine learning techniques are used to determine trends, forecast future consumption, and come up with improvements. By combining these quantitative and qualitative views, this work offers a deeper understanding of the use of data in enhancing the efficiency of energy usage in smart homes. Big data as a tool is useful for increasing efficiency in smart homes and, therefore, cutting costs by providing regular real-time monitoring, accurate forecasting of needed energy, and individual energy management techniques. The findings of this research support the significance of data analysis to reveal energy conservation potentials, promote pro-environment utilization, and reduce energy bills. The current work enriches the literature on sustainable energy management with a focus on the significance of further advancements of smart home systems and data science solutions towards a more sustainable energy future.
NANOTECHNOLOGY-ENABLED FOOD SAFETY: INNOVATIVE SOLUTIONS FOR AGRICULTURAL DEVELOPMENT, SMART PACKAGING, DELIVERY SYSTEMS, AND FOOD SECURITY
Authors: Zhaojie Chen  , Abdullah Al Hossain Newaz
Published: December 2024

Nanotechnology is playing an important role to develop modern solutions in food safety and agriculture that make it highly efficient as well as safe. This paper is aimed at dissecting how nanotechnology can be used in smart packaging, delivery systems and food security in agriculture. Smart packaging instills such features like increased shelf life, food safety, and real-time monitoring of food quality when nanomaterials are incorporated into the packaging system. Hi-tech delivery systems made possible through nanotechnology improve the effectiveness of agrochemicals, minimize the adverse effects on the environment, and reclaim the principles of sustainable farming. In addition, nanotechnology helps to protect food from spoilage as well as enhance crop quality, yield, and pest resistance, and upgrade the nutritional value of foods. Combining the results of the current state of nanotechnology development and its future prospects, this paper recognizes nanotechnology as a powerful tool for the agricultural industry and a secure food supply chain.
EFFECTIVENESS OF CAPACITY BUILDING PROGRAM FOR NURSE EDUCATORS ON IMPLEMENTATION OF NEWER PERSPECTIVES IN NURSING CURRICULUM
Authors: Swati Athawale  , Selvi Nadar  , Snehal Ande  , Yusuf Ali  , Ajita Chavan
Published: December 2024

The study was conducted to assess the effectiveness of capacity building programs for nurse educators on implementation of newer perspectives in nursing curriculum. Objectives of the study were 1. To compare the pre and post test scores of the capacity building program for nurse educators on implementation of newer perspectives in nursing curriculum.2. To assess the opinion of the participants regarding the capacity building program for nurse educators on implementation of newer perspectives in nursing curriculum.3. To assess the effectiveness of the capacity building program for nurse educators on implementation of  newer perspectives in nursing curriculum.
Materials and Methods: One group pretest-posttest research design was employed for this investigation. The study's sample comprised 63 nurse educators from different nursing institutes who registered and attended the capacity building program's sessions. The sample was chosen using non-probability convenient sampling. A pretest was used to assess the nurse educators' knowledge using Google Forms. Over the course of eleven weeks, a capacity-building program was implemented that includes expert sessions and practical sessions for implementation of newer perspectives in nursing curriculum via the ECHO India virtual platform. Google Forms was used for the post-test. Google forms were utilized to gather feedback and evaluate opinions, and the nurses' attendance records were used to determine their compliance. Both descriptive and inferential statistics were used to analyze the data.
Result: The mean score of the posttest exceeded the mean score of the pretest in every session. At the 0.05 level of significance, the knowledge scores showed a substantial improvement. About 81% (Mean Score 22.18) of participants strongly agreed to the point that the knowledge provided on the topic was new and updated.
Conclusion: The study's findings demonstrated that a capacity building program on newer perspectives in nursing curriculum. For nurse educators based on the ECHO model significantly effective in improving the knowledge of nurse educators.
The Use of Heated Tobacco and the Health Status of Young Adults in Poland- Preliminary Results
Authors: Małgorzata Znyk  , Dorota Kaleta
Published: December 2024

IQOS (I-Quit-Ordinary-Smoking) is the most frequently chosen heated tobacco product among young people in Poland. The study aimed to investigate the effect of IQOS on blood count parameters, biochemical biomarkers, and lipid profile, as well as to make a comparative assessment between people using IQOS, smoking traditional cigarettes, and non-smokers. This case-control study was conducted in 2022-2024 among 85 young people in Poland (Lodz voivodeship) aged 18-30: 29 people using only IQOS, 15 people smoking traditional cigarettes and 41 healthy people not using nicotine products. A 20 ml blood sample was taken and the blood count (WBC, RBC, MONO, PLT, HGB), biochemical biomarkers (CRP, uric acid, fibrinogen, apo A1, apo B, glucose), and lipid profile (total cholesterol, TG, HDL, LDL). There were no statistically significant differences (p>0.05) in the level of blood count, biochemical biomarkers, and lipid profile between the three study groups. Among cigarette smokers, the uric acid level was significantly higher compared to IQOS users and non-smokers: 5.47 vs. 4.77 vs. 4.47 mg/dl (p=0.01). Among IQOS users (n=29), the level of glucose (r=-0.41; p=0.03) and uric acid (r =-0.46; p=0.01) was negatively correlated with the daily number of heated tobacco sticks. Further research is necessary to assess the impact of IQOS use on the health of young people.
Enhancing Agricultural TVET through Technology and Industry Synergy: Next-Generation Workforce Development in Penang
Authors: Shazanah Abdul Wahab  , Norzanah Mat Nor  , Amirul Abd Rashid
Published: December 2024

Penang has seen an increasing focus on transforming its agricultural sector to align with modern technological advancements and sustainability goals. This transformation is critical as Penang seeks to reduce its dependence on other states for food and to create a sustainable local food system. Technical and Vocational Education and Training (TVET) offers a unique platform to prepare a skilled workforce capable of supporting agricultural innovation. This study aims to critically assess and advance the integration of agricultural content within TVET programs in Penang. Given agriculture's essential role in regional food security and economic sustainability, there exists a significant misalignment between current TVET curriculum and the sector’s evolving needs. Employing a qualitative research approach, including in-depth interviews with TVET educators, industry practitioners, government officials, students, and agricultural entrepreneurs, this study elucidates key challenges and opportunities in embedding contemporary agricultural practices into TVET programs. Findings reveal substantial gaps in curriculum relevance, industry engagement, and technological integration. The study proposes targeted reforms, such as curriculum modernization to include advanced farming techniques, sustainable practices, and technological innovations. Recommendations include fostering robust industry-education partnerships, enhancing public perceptions of agricultural careers through strategic awareness campaigns, implementing targeted financial and non-financial incentives, and investing in advanced technological infrastructure. The study also emphasizes the necessity of supportive policy frameworks and continuous program evaluation to ensure alignment with sectoral demands. This research provides a comprehensive framework for stakeholders to enhance TVET programs, thereby equipping graduates with the requisite skills for the evolving agricultural sector in Penang.
Paraprotein-induced Discordance Between Direct and Total Bilirubin Levels in Patients with Myeloma: a Case Study Series
Authors: Margarita Kostina  , Valeriya Zemliakova
Published: December 2024

This study represents a preliminary investigation into the clinical implications of discordance between total and direct bilirubin levels in patients with multiple myeloma. Four cases are presented to highlight the variability in paraprotein concentrations and the discordance of total and direct bilirubin levels, emphasizing the importance of the timing of these measurements. The results of the bilirubin level discrepancy were observed either before the official diagnosis of multiple myeloma, or immediately after diagnosis, meaning before the initiation of chemotherapy for multiple myeloma.
Compact Dual-Band Monopole MIMO Antenna with K-Coupled Elements for 5G-NR N78 Band Applications
Authors: Rama Lakshmi Gali  , Madhavi Tatineni
Published: December 2024

The paper shows a 54 × 30 ????????2 monopole dual-band multi-input-multi-output (MIMO) antenna featuring improved compactness, diversity, and isolation. In the antenna system, the 50 Ω feeding mechanism triggers the dual K-coupled 2×1 elements on 1.6 ???????? planar. It is implanted on an inexpensive and widely available FR4 substrate with ???? =4.4 ????????. The two antenna elements are to be oriented according to the recommendation made after analyzing the simulated and measured performance metrics on S-parameter and gain of a dual K-coupled single antenna configuration. Minimizing interference, insertion loss, and radiating at 3.3 GHz and 4 GHz, the two portions of the dual K-coupled 2×1 antenna construction were placed 3 mm apart. From 3.24 GHz to 3.32 GHz and from 3.9 GHz to 4.1 GHz, the radiation patterns of the suggested configuration are constant. Furthermore, the proposed MIMO antenna’s diversity performance is assessed through the use of both measured when simulated values using CST Tool for the following parameters: E.C.C., D.G., CCL, and M.E.G. This antenna is ideal for 5G-NR N78 band networks, Wi-Fi, and C-band (3.7 GHz to 4.2 GHz) satellite communication due to its insertion loss below -40 dB, average peak gain of over 5.3 dBi, and ECC below 0.003.
Use of Electronic Receipts in Water and Sewer Service Customer Service: A Literature Review Article
Authors: Mg. Jahaira Viviana Nuñez Jimenez  , Mg. Pacheco Gonzales Ida Blanca  , Shakespeare Voltaire Cruz Ipanaqué  , Dr. Rafael Damian Villon Prieto
Published: December 2024

The general objective of this research was to understand the scientific evidence on the use of electronic receipts in customer service of water and sewerage service companies. A qualitative approach and a literature review were used, covering national and international studies. The instruments applied included content analysis of scientific publications. The main results indicate that the implementation of electronic receipts significantly improves operational efficiency and customer satisfaction. In Belgium and the United States, digitalization has reduced costs and improved resource management; in Peru, companies such as Sedapal have shown progress in reducing environmental impact and improving customer service through digital billing. However, challenges such as resistance to change and the need for adequate technological infrastructure are identified. The main conclusion was that electronic receipts in water and sewerage companies represent an effective tool to modernize management, increase customer satisfaction and promote sustainable practices.
Exploring the Next Frontier in Wireless Communication: 5G and Beyond for Enhanced Reliability and Low Latency in IoT and Autonomous Technologies
Authors: Dr. Deepak Sharma  , K. Lakshmi Narayana  , Shyamala P  , Dr.P.Latha  , Dr. Narendra Singh  , Dr Sudipta Banerjee
Published: December 2024

This research focuses on how 5G and beyond technologies might be the game changers in the reliability, low latency, efficiency, and improvement of IoT and autonomous systems, such as electric vehicles. It addresses the advancements of 5G and 6G-based communication networks integrated with machine learning and edge computing to enhance vehicle performance, energy management, and vehicle-to-infrastructure (V2I) communication. Extensive experimentation conducted greatly led to the discovery of important improvements in response time. Latency was reduced by as much as 45 per cent when compared with 4G networks, and this meant that 6G enabled potential increases of up to 60 per cent over data throughput and reliability in high-density environments. In addition to that, AI application towards predictive maintenance and battery optimization led to an increase of up to 30 per cent for energy efficiency, and for applications of such intelligence in a more sustainable EV system. The results further reveal the promise of AI-based security and an ML-based 25% reduction in network vulnerabilities as compared with traditional security protocols. The results inform the transformative capability of the next generations of communication technologies to fulfil their scope in remodelling the future of electric vehicles and autonomous systems. Future research will focus on overcoming present infrastructure deficiencies and improving the algorithms behind real-time decision-making processes towards support of scalable, energy-efficient, and secure EV ecosystems.
Development and Characterization of a Lysine Biosensor using Lysine Oxidase Nanoparticles for Lysine Detection using Pencil Graphite Electrode
Authors: Neha Sawarni  , Dr Parveen Kumar  , Prof. Minakshi Sharma
Published: December 2024

The precise detection of lysine is critical in clinical diagnostics and food safety due to its role as an essential amino acid and a biomarker in various physiological processes (Nivedita et al., 2019; Sarma & Choudhury, 2016). This study presents the development and characterization of a high-performance lysine biosensor based on lysine oxidase nanoparticles immobilized on pencil graphite electrodes (PGEs). Advanced characterization techniques, including Fourier-transform infrared spectroscopy (FTIR), UV-visible spectroscopy (UV-Vis), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and electrochemical analysis (cyclic voltammetry, electrochemical impedance spectroscopy, and amperometry), were employed to validate the sensor's design and performance (Chen & Qian, 2018; Liao & Xiao, 2016).The biosensor demonstrated a remarkable limit of detection (LOD) of 0.1 µM and a wide linear detection range spanning 0.1 µM to 1.0 mM, covering physiological and supra-physiological lysine levels (Duffy & Gillis, 2015). pH optimization revealed maximum enzymatic activity at pH 6.5, while stability tests confirmed that the sensor retained over 95% of its activity after 30 days of storage (Sharma & Byrne, 2016). The integration of lysine oxidase with a nanoparticle-modified electrode significantly enhanced sensitivity (8.2 µA/mM) and specificity, outperforming existing lysine detection technologies (Rodriguez & Fernandez, 2020).These findings establish the proposed biosensor as a cost-effective, scalable, and reliable platform for lysine monitoring in real-world applications, such as medical diagnostics and food quality control.
Efficient Text Summarization Using PSO-Optimized LSTM-Gated RoBERTa Algorithm for Social Media Content Analysis"
Authors: M.Vinitha  , S.Vasundra
Published: December 2024

Nowadays, social media is an important aspect of news reading, learning, and handling digital information. Increasing detailed information on social media content leads to a vast of time to know the summary of the information. Prevailing techniques and Artificial intelligence handle the text summarization based on the importance of term frequency. Analyzing more feature dependencies like subject, nouns, key terms, and topic modeling makes it more tedious to degrade sentence fragmentation, which leads to low precision and recall rate. To resolve this problem and introduce new sentence-based frequency fragmentation, text summarization is implemented based on PSO optimized LSTM gated RoBERTa Algorithm for social media content extraction. Initially, the text preprocessing is framed to process stop word removal stemming and tokenization to normalize the document data. By reducing the sentence and extracting the important terms by evaluating based on Inverse Term quantum vector frequency evaluation (ITQCF). The sentence term frequency evaluation is carried out using best fit term frequency evaluation using PSO to select the important features. Finally, the optimized auto coders based on the LSTM Gated Robustly Optimized BERT Pretraining Approach (RoBERTa) are used to summarize the content. The Sequence Ranking sentence fragmentation (SRSF) formalizes the sentence depending on the topic to finalize the precision summarization. The proposed system improves the precision rate as well in fragmentation and sentence score to show high performance in F1 score and redundant time complexity.
Development of a Hybrid SCADA Model Integrating Data Analytics and TSA’s for Effective Linear & Non-Linear Loads in Micro & Nano-grids using nano-technological concept
Authors: Dr. R. Balakrishna  , Dr. J.V. Muruga Lal Jeyan
Published: December 2024

The rapid evolution of industrial and communication sectors has necessitated the integration of advanced data-driven techniques to enhance the functionality and resilience of Supervisory Control and Data Acquisition (SCADA) systems. This research focuses on the development of a hybrid SCADA model that incorporates Data Analytics (DA) and Time Series Analysis (TSA) to address critical challenges in effective load forecasting, data security, and operational efficiency in micro and nano-grids. Leveraging non-linear methods, the model aims to optimize performance across science, engineering, and communication sectors. SCADA systems play a pivotal role in monitoring and controlling industrial processes, but their vulnerability to cybersecurity threats, especially Distributed Denial of Service (DDoS) attacks, poses significant risks. This study introduces a robust framework that integrates TSA techniques for real-time anomaly detection and predictive modeling to mitigate such risks. By analyzing historical and real-time data using advanced non-linear algorithms, the system effectively forecasts load patterns, identifies potential threats, and enhances the overall decision-making process. In the context of micro and nano-grids, the proposed hybrid SCADA model addresses the unique challenges of these decentralized energy systems, such as fluctuating energy demands, integration of renewable energy sources, and maintaining grid stability. The research employs machine learning-driven data analytics to predict energy consumption patterns, optimize load distribution, and reduce energy wastage. Additionally, the model enhances communication sector applications by ensuring secure data transmission and real-time monitoring through TSA and non-linear analytical methods. The study demonstrates the model's applicability through simulations and case studies across multiple domains. Results show significant improvements in load forecasting accuracy, early threat detection, and system resilience. This hybrid approach bridges the gap between traditional SCADA systems and the growing demands of modern infrastructure, offering a scalable, efficient, and secure solution for the future. Finally, this research provides a comprehensive framework for enhancing SCADA systems by integrating data analytics and TSA, addressing challenges in load forecasting and security, and extending its application to emerging fields in science, engineering, and communication sectors. The proposed model is a step toward smarter, more resilient, and adaptive SCADA systems, particularly in micro and nano-grid environments.
AI-powered Smart Grids: Energy Optimization
Authors: Dr. M. Sai Veerraju  , Dr. M.S.Giridhar  , SatyavedaSomepalli  , Dr P Kiran Kumar Reddy  , Dr.P. Ram Kishore Kumar Reddy  , Dr.P.Nagasekhar Reddy
Published: December 2024

This paper aims at explaining how AI can augment smart grids toward improved energy management. Mainly, the research is concerned with using artificial intelligence together in order to optimize energy distribution, minimize the cost of running organizations and finally establish means to harness sustainable energy resources. Four AI algorithms are utilized in this study: During the smart grid, load forecasting, fault detection, and energy optimization, ANN, SVM, GA, and RL approaches can be used. Based on the experimental findings, it is shown that the ANN achieved a 92% forecast precision; on the other hand, the utility of both the SVM and GA algorithms in energy optimization ranged from 18–23%. The RL algorithm returned the best result and cut wastage by 32% and enhanced load balance efficiency. These results demonstrate that AI strategy performs better than the conventional energy management systems, particularly for accommodating renewable generation and dynamic grid loads. By optimising the utilisation of the grid, and utilising artificial intelligence, energy losses are kept to an absolute minimum, thus supplementing sustainable efforts. The study establishes that smart grid using AI technology is the innovative way of enhancing energy management and thus sustainable smart infrastructures. In future work, issues of data security and scalability will be targeted in order to enhance the application of AI in smart grids.
DNA Evidence In Criminal Justice System: Admissibility, Reliability, And Accuracy
Authors: Mr. Rudra Narayan Sahoo (Corresponding Author)  , Dr. Chinmaya Kumar Mohapatra
Published: December 2024

DNA's significance extends to forensic science, where DNA profiling, introduced in 1986, has revolutionized criminal investigations and judicial processes. DNA profiling differentiates individuals based on unique genetic sequences, aiding in identifying suspects, establishing biological relationships, and solving crimes, even from minimal or degraded samples. Judicial scrutiny of DNA evidence ensures its credibility, as seen in notable cases.
Significance- The study explores the pivotal role of forensic DNA profiling in modern criminal justice. Landmark cases, such as the conviction of Colin Pitchfork and the resolution of paternity disputes, underscore DNA profiling's transformative role. Despite the lack of specific legislation in some regions, DNA evidence is increasingly recognized for its reliability and accuracy.
Objectives- This research examines the impact of DNA profiling in forensic science, focusing on its reliability, legal admissibility, and methodological advancements. It also highlights the stringent protocols essential for maintaining DNA evidence's integrity and the legal frameworks guiding its admissibility. It also analyses the reliability and accuracy of DNA evidence.
Methodology- The research is completed by using Doctrinal method while analysing the secondary data obtained from journal articles, books, landmark cases.
Findings- The findings emphasize DNA profiling's pivotal role in enhancing the accuracy of criminal investigations and reinforcing public confidence in the justice system, advocating for continuous advancements and adherence to rigorous standards in forensic science.
Green Marketing in the Age of Sustainability: Consumer Perceptions and Brand Strategy
Authors: Dr. Kanchana P
Published: December 2024

The growing urgency to address environmental challenges has positioned green marketing as a pivotal strategy in the era of sustainability. This review paper explores the intersection of consumer perceptions and brand strategies in promoting eco-friendly practices. It investigates how sustainability-driven initiatives influence consumer behavior and the extent to which green marketing enhances brand equity and loyalty. The study highlights key factors shaping consumer attitudes, including environmental awareness, perceived credibility of green claims, and the role of socio-cultural dynamics in fostering eco-conscious purchasing decisions.From a strategic perspective, the paper examines how organizations integrate green marketing into their core branding efforts. It discusses innovative approaches such as transparent communication, sustainable packaging, and the integration of circular economy principles. The analysis also addresses the challenges brands face, including greenwashing accusations and the need to balance profitability with genuine sustainability commitments.Furthermore, the paper emphasizes the role of technology, such as AI and big data, in identifying consumer preferences and tailoring green marketing strategies. It underscores the importance of ethical frameworks and regulatory compliance to establish trust and long-term consumer relationships.By synthesizing recent research and industry practices, this paper offers valuable insights for businesses aiming to navigate the evolving landscape of green marketing. It concludes that a collaborative effort among stakeholders—businesses, policymakers, and consumers—is crucial to advancing sustainability goals while fostering a positive brand-consumer relationship. This study provides a roadmap for leveraging green marketing as a transformative tool in driving sustainable consumerism and achieving environmental stewardship.
Design of Iron Oxide Nanoparticle Sensors for Electrochemical Detection of Lead and Cadmium in Waste water samples
Authors: Deepmala Dalal  , Dr.Kanika Guleria
Published: December 2024

The present articlestudies the successful development and detailed characterization of a novel electrochemical sensor based on a carbon paste electrode (CPE) modified with iron oxide nanoparticles (Fe2O3-NPs) for detecting toxic metal ions in water samples. The iron oxide nanoparticles were thoroughly characterized using several techniques, including Fourier-transform infrared spectroscopy (FT-IR), field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), and UV-Visible spectroscopy, to investigate their structural and morphological properties. The fabrication of the Fe2O3/CPE sensor was accomplished by homogeneously blending Fe2O3 nanoparticles with graphite powder and paraffin oil. This mixture was then compacted into a Teflon tube, with a copper wire serving as the electrical contact. Prior to use, the sensor surface was polished and rinsed with double-distilled water to ensure optimal performance.
Challenges and Opportunities in Marketing Fintech Products to Rural and Semi-Urban Investors in India: A Systematic Literature Review
Authors: Mr. Yajvin Tandon,  , Dr. Jai Kumar Sharma
Published: December 2024

This study presents a systematic literature review on the challenges and opportunities in marketing Fintech products in rural and semi-urban investors in India. Through use of the PRISMA framework alongside TCM and ADO methodologies, this review analyses the current literature on the research topic to determine barriers like infrastructure issues and low financial literacy and highlights opportunities for regulatory support and innovation. The findings imply the critical role played by cultural factors and technology to enhance financial inclusion and inform on relevant applicable strategies for Fintech companies to aim at engaging underserved markets.
HAFNIUM DIBORIDE: A NOTABLE SOLID-STATE MATERIAL FOR EFFICIENT PHOTOTHERMAL CONVERSION
Authors:   Department of Physics, Government College Malappuram, Kerala, India, Gopalakrishnan Nair Reeja
Published: December 2024

We report the remarkable light-to-heat conversion observed in commercially available, ready-to-use bulk hafnium diboride (HfB2) powder, which exhibits strong wide-spectrum absorption and minimal photoluminescence. 100 mg of the powder sample, uniformly spread on an aluminium foil, was subjected to continuous-wave, blue laser irradiation and the rise in sample temperature was measured using a K - type thermocouple. The bulk HfB2 powder sample showed substantial photothermal conversion and displayed exceptional thermal, chemical and photo-stability under diverse irradiation conditions. Furthermore, the photothermal effect proved to be highly reproducible, highlighting the suitability of HfB2 powder for a range of industrial applications.
Total Flavonoid, Total Phenolic Content and Antioxidant Activity of Erechtites valerianifolia Herb Extracts
Authors:   Faculty of Pharmacy, Jember University, Indonesia, Puspangingtyas AR ,   Faculty of Pharmacy, Universitas Gadjah Mada, Indonesia, Sholikhah EN ,   Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Indonesia, Astuti P ,   Faculty of Pharmacy, Universitas Gadjah Mada, Indonesia, Riyanto S ,   Faculty of Pharmacy, Universitas Gadjah Mada, Indonesia
Published: December 2024

Erechtites valerianifolia (Link ex Wolf.) Less. ex DC. or "Jonggolan" (Indonesian name), a member of the family Asteraceae, was collected from Meru Betiri Forest, Indonesia. This study investigated the antioxidant activity of E. valerianifolia and its total phenolic and total flavonoid content. Methanol, ethyl acetate, dichloromethane, and hexane extracts of E. valerianifolia herbs were tested using 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radicals scavenging assay. Antioxidant activity was expressed in IC50 values of the n-hexane, dichlormethane, ethyl acetate and methanol extracts (367.8000 ppm, 139.5200 ppm, 911.0540 ppm, and 401.9530 ppm, respectively) with the best antioxidant activity observed in dichloromethane (DCM) extract. Total phenolic content (TPC) of the n-hexane, dichloromethane, ethyl acetate and methanol extracts were 10.6400 ± 0.0338 mg GAE/g; 6.4500 ± 0.0000 mg GAE/g; 6.6900 ± 0.0323 mg GAE/g; and 3.2300 ± 0.0000 mg GAE/g, respectively (with gallic acid as reference). Total flavonoid content (TFC) of the n-hexane, dichlormethane, ethyl acetate and methanol extracts were 1.4000 ± 0.0784 mg QE/g; −2.3900 ± 0.0000 mg QE/g; 0.4400 ± 0.0000 mg QE/g, and 0.1100 ± 0.0000 mg QE/g, respectively (with quercetine as reference). Total flavonoid content of the n-hexane, dichloromethane, ethyl acetate and methanol extracts were 2.3700 ± 0.1180 mg RE/g; −2.7900 ± 0.0000 mg RE/g; 0.9100 ± 0.0000 mg RE/g; and 0.2400 ± 0.0000 mg RE/g, respectively (with rutin as reference). The correlation between total phenolic/total flavonoid content and antioxidant test was less than 50%, indicating no direct/negative correlation between polyphenolic content of the extracts and antioxidant activity.
Biomechanics of physical exercise: A data-driven approach to enhancing mental health in college students
Authors: He Hai-zhen
Published: December 2024

With growing awareness of the importance of mental health, the biomechanical mechanisms of physical exercise have gained attention as an effective intervention for improving mental well-being, particularly among college students. Physical activity not only enhances physical fitness and disease resistance but also contributes to cognitive and emotional health through specific biomechanical pathways. This study explores the interplay between exercise biomechanics and mental health by investigating the psychological challenges faced by college students. Utilizing advanced data analysis and correlation techniques, we refine the Apriori algorithm through a novel database partitioning strategy, achieving a 23.68% improvement in accuracy and a 10.17% reduction in runtime compared to the baseline. Additionally, this study examines how biomechanical factors, such as joint movement and muscle activity, influence brain function and mental health outcomes. The findings offer innovative perspectives for integrating biomechanical insights into mental health education and exercise-based interventions for college students.
Advancing a biomechanical framework for cellular interaction and mechanotransduction analysis using data mining techniques
Authors: Tong Fangyin
Published: December 2024

As biomechanics advances, understanding the structural and functional dynamics of biological systems at molecular and cellular levels becomes increasingly critical. This study investigates a biomechanical framework for analyzing cellular interaction forces and information flow in mechanotransduction processes. Leveraging Data Mining (DM) technology, we evaluate cellular system efficiency and adaptation mechanisms under varying biomechanical stimuli, simulating stress conditions akin to high parallel processing loads. The proposed algorithm achieves an accuracy of 95.27% in predicting cellular response behaviors, with system stability maintained above 90% under simulated mechanical stress. These findings highlight the potential of computational methods to enhance our understanding of cellular resilience and adaptation in biomechanical contexts. Ultimately, this work contributes to the development of robust, adaptive models for studying the mechanobiology of cells and tissues, advancing diagnostic and therapeutic approaches in molecular and cellular biomechanics.
The Impact of Artificial Intelligence (AI) Integration on Student Engagement and Learning Outcomes of Tertiary Physical Education Students
Authors:   Adamson University, Ompoc Harlyn Mae , Aguinaldo Jerrwin ,   De La Salle University
Published: December 2024

Artificial intelligence (AI) has shown a unique ability to tailor and enhance personalized learning experiences. However, its application in physical education is limited. This study aims to investigate the effect of the AI-driven application on the learning outcome and student engagement among physical education students in higher education. A quasi-experimental two-group design was used to determine differences between pre-test and post-test scores. Standardized tests that measured musculoskeletal strength and endurance were utilized. The Utrecht Work Engagement Scale for Students (UWES-9S) assessed student engagement. For eight weeks, the experimental group (EG) had an AI-driven physical activities while the control group (CG) followed the usual PE class. Post-test scores showed the experimental group significantly improved the learning outcome (p<0.001). Engagement scores were also significantly higher in EG (p < 0.01). Consequently, The CG showed a significant decrease in student engagement while the increase in learning outcome is not statistically significant. These findings suggest that AI-driven applications positively affect students’ physical fitness and engagement. Further research is recommended to fully implement AI in classrooms, addressing student and teacher literacy and ethical concerns to maximize its potential in the PE curriculum.
Comparative Views on the Global Energy Problem in the Oil and Gas Pattern
Authors: Ramiz Isgandarov , Ilham Aslanzade , Mehpara Orujova , Zaur Asadov , Aydan Hadiyeva
Published: December 2024

The article puts forward views on the global energy problem. It focuses on population growth, industry, energy, consumption, exhaustible and inexhaustible resources. Energy has become an indispensable element of social and economic life due to its early use in lighting and heating, and since the early twentieth century in industry and other fields. It is considered that the causes of the global energy problem are related to the rapid growth of the world's population, the growth and development of industrial production. The implementation of these is considered to lead to the efficient use of energy resources, both globally and domestically. There is a need to make certain changes in people's lifestyles, conserve natural resources and increase the use of alternative energy sources. Against the background of a 7-fold increase in the world's population, the growing demand for energy resources of people and society as a whole is a topical issue. The main purpose of the study is to increase attention to the problem of energy in the world, to make certain changes in people's lifestyles and to make sound proposals on alternative energy resources. From a global point of view, the trends in the modern development of energy and the suggestion of more efficient ways of using energy are the scientific novelty of the research. Specifically, in many countries, oil comes out at a depth of 5,000 m and more, instead of the previous 500-1000 m, which has a negative impact not only on society, but also on the environment.
FRACTAL VICE: HISTORY, VARIETIES, THEORETICAL STUDIES, CREATION CONCEPTS HISTORY
Authors:   National Technical University of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”, Kuznetsov Yuryi , Samoilenko Oleksiy ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”, Xingmin Gao ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”, Belyaeva Nastya ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Politechnic Institute”
Published: December 2024

For the first time, the scientists of the Igor Sikorskyi KPI have comprehensively revealed questions related to the history and theoretical research of fractal vices and various types of other universal vices that perform universal functions when clamping objects of complex shape. Modern software products and modeling methods are used in the theoretical research.
DESIGN OF A CABLE PACKAGING SYSTEM CAPABLE OF SECURING CABLE ENDS WITHOUT THE USE OF AUXILIARY MATERIALS
Authors:   DOMEKS Machinery A.S. Design Center, Avci Beyza , Berk Varal Özdemir ,   DOMEKS Machinery A.S. Design Center, Dalmis Figan ,   TNKU, Vocational College of Technical Sciences, Osman Yilmaz Serdar ,   Tekirdag Namik Kemal University, Corlu Engineering Faculty, Savas Dalmis Ibrahim ,   Tekirdag Namik Kemal University, Corlu Engineering Faculty
Published: December 2024

Cable packaging machines are devices that automatically wrap long and thin materials, such as wires, cables, and pipes, into organized packages. These machines play a crucial role in cable production by saving time and labor during the manufacturing process. While there are various types and features of cable packaging machines, their common objective is to ensure that materials are wrapped to the correct size, tightly packed, and easily transported.
In this study, the performance of a newly designed and manufactured machine was evaluated. This machine is capable of packaging cables in coil form without the use of auxiliary materials such as twine, stretch film, or straps. The system is composed of seven main sections: the flayer, tension control unit, traverse unit, cable winding heads, clamp group, shrink unit, and the main control panel. A noteworthy feature of the machine is that the cable winding heads can rotate 180°, and the elimination of auxiliary materials in the packaging process reduces costs and minimizes the time lost during cable winding.
Experimental results show that the machine is capable of wrapping 12 coils per minute for short-length cables (5 m, 10 m, 15 m, 20 m, 25 m) and 8 coils per minute for long-length cables (50 m, 100 m).
La jouissance: o gozo feminino em Freud, Lacan e na contemporaneidade
Authors: Sampaio Raissa Sales , Oliveira Débora Passos de
Published: December 2024

O objetivo do estudo foi traçar um percurso teórico do conceito de gozo feminino. Através de uma revisão de literatura narrativa, abordamos o tema desde seus indícios em Freud e suas discussões sobre a feminilidade e seu componente misterioso, até Lacan, que a partir da criação do conceito de gozo e de suas teorias sobre a mulher, propõe a noção de gozo feminino como gozo do Outro – um gozo que está fora da lógica fálica; e terminamos por discutir o gozo na contemporaneidade. Ancorando-se no conceito de gozo e passando pelos contextos sócio históricos que suscitaram as discussões sobre feminilidade, o gozo feminino se apresenta como algo além do conhecimento e do domínio. Lacan propõe então a não existência de uma solução universal para o enigma do gozo feminino, famosamente declarando que “A mulher não existe”. Este caminho metapsicológico culmina com a contribuição de autores contemporâneos, como Néstor Braunstein, Colette Soler, Maria Rita Kehl, Pedro Ambra e Tânia Rivera que discutem sobre seus desdobramentos.
Uma “equação a três termos”: o ciúme em Sigmund Freud e René Girard
Authors: Quevedo Rafael
Published: December 2024

Aborda-se o tema do ciúme sob o ponto de vista da psicanálise de Freud e da teoria mimética de René Girard tendo como ponto central de discussão o lugar do “terceiro” nos esquemas triangulares presentes em ambas as teorias. Propõe-se, também, um cotejo entre os dois modelos explicativos e um breve exame dos contrapontos e divergências estabelecidos por Girard com relação a algumas noções e hipóteses freudianas.
QUALIDADE DE VIDA E QUALIDADE DO SONO DE UNIVERSITÁRIOS DOS CURSOS DA ÁREA DA SAÚDE: UMA REVISÃO INTEGRATIVA DA LITERATURA
Authors: Oliveira Sâmia Eloi , Lins Kaline Oliveira , Cruz Isabela Emanuela Cantanhêde da , Silva Maria Clara Monteiro da , Mello Raquel de Castro , Coelho Eduardo da Silva , Silva Francisco Mayron de Sousa e , Santana Geísa de Morais , Moura Odeany Ferreira , Silva Naiana Deodato da
Published: December 2024

O sono é caracterizado como um mecanismo fisiológico e comportamental muito importante para a saúde humana, atuando na função de reequilibrar as atividades motora, voluntária e sensorial. Quando afetados, esses processos entram em desequilíbrio, resultando em prejuízos para a saúde física e mental, podendo levar à redução da capacidade cognitiva, alterações no humor, como irritabilidade e depressão, além de comprometer o funcionamento do sistema imunológico e agravar condições crônicas, como hipertensão e diabetes. Tendo ciência disso, o propósito desse estudo foi analisar os fatores que impactam a qualidade de vida e do sono entre universitários da área da saúde, buscando compreender as principais influências responsáveis por essas alterações. Para isso, teve-se como suporte metodológico a realização de uma revisão integrativa de literatura, estruturada em seis etapas. A coleta de dados foi realizada nas bases BVS, PubMed e LILACS, abrangendo artigos de 2019 a 2024, em português e inglês. Após a filtragem, nove artigos foram considerados aptos a integrar a presente revisão. Os resultados do estudo evidenciaram que os principais fatores que impactam a qualidade de vida e do sono em universitários da área da saúde, tiveram influência de altos níveis de estresse, sobrecarga acadêmica e hábitos comportamentais inadequados. Essas condições foram associadas a prejuízos na saúde mental, como ansiedade e depressão, além de déficits cognitivos e redução da produtividade. Em suma, ficou constatado que hábitos inadequados afetam a qualidade do sono e a saúde mental de universitários, comprometendo sua qualidade de vida e desempenho acadêmico.
EFEITO DO PILATES SOLO NO CONTROLE POSTURAL EM IDOSOS: REVISÃO INTEGRATIVA
Authors: Costa Kaique da Silva
Published: December 2024

Atualmente, o Brasil vem testemunhando um aumento significativo na população idosa, o que traz consigo desafios complexos que vão além das simples estatísticas demográficas. O envelhecimento populacional não é apenas uma questão de números, mas sim um reflexo das mudanças sociais, econômicas e de saúde que nossa sociedade enfrenta. A compreensão dos declínios fisiológicos associados ao envelhecimento é crucial para a prestação de cuidados de saúde adequados aos idosos. O principal objetivo desta pesquisa é investigar os efeitos do programa de exercícios de Pilates solo na melhoria do controle postural em idosos. Esta pesquisa trata-se de uma revisão integrativa da literatura onde foram utilizadas as bases de dados Scientific Eletronic Libraly Online (SCIELO), PubMed e da Literatura LatinoAmericana em Ciências de Saúde (LILACS). Foram identificados, mediante ao cruzamento dos descritores (Exercise Movement Techniques and Aged and Postural Balance, 204 artigos. Destes, foram excluídos 320 por não estarem dentro do recorte temporal (2014 a 2024), resultando em 23 artigos. Foram excluídos 13 artigos, por estarem duplicados e por não corresponderem ao tema, que não respondem ao objetivo. Foram escolhidos   10 artigos para compor a base de dados dessa revisão. A partir das informações apresentadas neste estudo, foi possível atingir com sucesso os propósitos estabelecidos para esta pesquisa. Foi constatado que a prática do Pilates em idosos tem mostrado benefícios comprovados em várias áreas, como a melhoria da força, flexibilidade, equilíbrio, postura e mobilidade. Além dos ganhos físicos, o método também proporciona benefícios emocionais, como o aumento da autoestima e a redução de sintomas depressivos e ansiosos, melhorando o bem-estar geral.