bluuebunny/crossref_metadata_2025 huggingface dataset:
Rethinking Semantic Contrastive Learning and Content Fusion in Multimodal Retrieval
Authors: Shi Baishun , Li Zhenghu
Published: February 2025

In the domain of image-text retrieval (ITR), recent advancements have enabled fine-grained (FG) instance-level retrieval through large-scale visual language pre-training (VLP). While these methods have achieved high accuracy, they have also led to an increase in computational complexity. primary challenges in cross-modal retrieval involve the induction of isomorphic knowledge and the association of heterogeneous knowledge. Homogeneous knowledge comprises elements with identical dimensions, whereas the interrelation of heterogeneous knowledge necessitates a prior unification of internal elements. Traditional cross-modal methods typically extract features from various modalities and engage in joint training. However, experimental results indicate that performance discrepancies among different modal networks can adversely affect overall generalization capability. Current state-of-the-art visual systems aim to minimize constrained supervisory signals to enhance the model's generalization performance. Although end-to-end models can simplify training, they often result in an exponential increase in data volume, which can be unmanageable for the average user. Our research demonstrates that pre-training with a singular focus can efficiently and scalably learn semantic features. This novel model is conceptually straightforward and can be implemented using existing, mature modules. In terms of performance, each module maintains a singular responsibility, significantly improving both the model's parameter count and training speed.
Optimization Study of Nonlinear Fuzzy Control System Based on Accelerated Evolutionary Programming
Authors: Lu Xiaoyao
Published: February 2025

The objective of this study is to enhance the responsiveness and precision of control systems through the acceleration of evolutionary programming in the optimization of nonlinear fuzzy control systems. Nonlinear systems are ubiquitous in engineering practice, presenting significant challenges due to their complexity and uncertainty for traditional control methodologies. Fuzzy control, an intelligent control approach rooted in empirical rules, possesses the capability to navigate uncertain and nonlinear issues. However, conventional fuzzy controllers struggle to achieve optimal control performance when confronted with highly complex nonlinear systems. Consequently, this paper introduces the application of accelerated evolutionary programming (RGA) for the optimization of fuzzy controllers, aiming to augment their performance in nonlinear systems. By merging genetic algorithms with a fuzzy adaptive PID controller, the optimized fuzzy controller is better equipped to adapt to the dynamic changes of nonlinear systems, offering robust and efficient control strategies. The results of simulation experiments demonstrate a marked improvement in response time, stability, and error reduction with the fuzzy control system based on RGA optimization. This study offers novel insights and methodologies for the further optimization of control within nonlinear systems, while providing theoretical support for the practical applications of complex systems.
High-Performance Roaming Display Algorithm for Ultra-Large Screen Handwriting
Authors: Zhao Zhenshen , Zhou Tiancai
Published: February 2025

With the rapid development of smart education, the application of smart chalkboard software in teaching is becoming increasingly widespread.  This article proposes a high-performance roaming display algorithm aimed at improving the smoothness and response speed of handwriting input on large screens.  This algorithm achieves efficient handwriting input and real-time display through techniques such as data collection and preprocessing, dynamic partitioning and caching mechanisms, parallel computing and multi-threaded processing, as well as intelligent prediction and optimization.  The experimental results show that the algorithm performs excellently in terms of smoothness and response speed of handwriting input on ultra large screens, and can effectively solve the delay and lag problems of traditional handwriting input systems.
The Gender Mirror in Education: Primary and Secondary School Students and Gender Stereotypes
Authors: Gong Manman
Published: February 2025

Gender stereotypes have a profound impact on the self-perception and academic development of primary and secondary school students. This paper reviews the manifestations of gender stereotypes in educational materials and teacher behavior, as well as their potential limitations on students' gender identity and career choices. The article emphasizes the critical role of educators in eliminating gender bias and advocates for continuous professional development and self-reflection to ensure gender-neutral teaching practices. It also calls for gender-sensitive reviews of educational materials to identify and eliminate gender biases. In addition, the cooperation between families and schools is crucial for breaking gender role stereotypes. Future research should focus on assessing the long-term effects of educational interventions and exploring effective policies for gender equality education.
OUTCOME OF ANTEPARTUM INTRAVENOUS FERRIC CARBOXYMALTOSE IN ANEMIC PATIENTS
Authors: FAIZ A , ASHIQ F , KAUSAR Z , SALEEM L , BATOOL S , FAROOQ N
Published: February 2025

Iron deficiency anaemia (IDA) is a prevalent condition among pregnant women, leading to increased maternal and fetal complications. Intravenous (IV) iron therapy, particularly ferric carboxymaltose (FCM), has been proposed as an effective treatment for rapid haemoglobin (Hb) improvement. Evaluating the effectiveness of FCM in achieving target Hb levels in a short duration is essential for optimising maternal health outcomes. Objective: To determine the efficacy of ferric carboxymaltose (FCM) in increasing haemoglobin levels for the treatment of iron deficiency anaemia (IDA) in pregnant women at a tertiary care hospital in Islamabad. Methods: A descriptive case series was conducted at a tertiary care hospital in Islamabad. The study included 110 pregnant women diagnosed with IDA. All participants received 5 mg of folic acid daily and were administered IV-FCM. Patients were monitored for three hours post-infusion for any adverse reactions and attended weekly follow-ups. Hemoglobin levels and iron profile were reassessed after three weeks to evaluate treatment efficacy. Data analysis was performed using SPSS version 20, with results presented as mean ± standard deviation (SD) and frequencies. Results: The mean age of participants was 25.67 ± 5.47 years (range 18–40 years). The effectiveness of IV-FCM in increasing haemoglobin levels within three weeks was observed in 80 (72.73%) of patients, indicating a high success rate. Conclusion: Ferric carboxymaltose (FCM) is effective in achieving target haemoglobin levels (≥11 g/dL) within three weeks in pregnant women with IDA, with minimal side effects. These findings support using IV-FCM as a safe and efficient treatment for iron deficiency anaemia during pregnancy.
Histopathological Changes in the Gills and Liver of the African Catfish (Clarias gariepinus) Juveniles Exposed to Crude Stem Bark Extracts of Adenium obesum (Desert Rose)
Authors: Abubakar Kafi Shehu , Yusuf Sulaiman , Omar Aliyu Abdulhamid , Audu Bala Sambo
Published: February 2025

Histopathological alterations in fish organs are among the biomarkers used to measure the impact of toxicants, providing insights into the effects of environmental contamination on aquatic organisms. This study investigated the effects of acute concentrations (0.00, 6.5, 8.0, 9.5, 11.0 and 12.5 mg/L) of stem bark crude extract of Adenium obesum on the histopathological changes  in the liver and gills of Clarias gariepinus juveniles over a period of 96 hours in a static non-renewable bioassay. Mean water quality parameters (free carbondioxide, dissolved oxygen content, pH and total alkalinity levels) and histo-architectural integrity of liver and gills were determined using standard methods. Statistically significant differences (p<0.05) were found in all the studied physico-chemical parameters of the water compared with control. There was marked pieces of evidence of concentration-dependent alteration to the gills and liver histological organizations. The acute investigations revealed that acute exposure of catfish juveniles to A. obesum stem bark crude extract culminated in both water quality parameters and histological alterations in gills and liver more particularly the higher concentrations of extract in the acute exposure.
The effect of adding probiotics or prebiotic to the diet on the characteristics of local Iraqi goat carcasses and fat deposition
Authors: Maithem K. A. Al-Galiby
Published: February 2025

The present study aimed to find out the effect of adding both the probiotics (3 g / kg feed) or the prebiotic (2 g / kg feed) to the local Iraqi kids diets on some characteristics of carcasses quantitative and qualitative traits. The study used 16 male kids who were evenly distributed over four treatments. The first treatment was fed 60% concentrated diet (included 20% wheat flour, 25% wheat bran, 20% corn, 7% soybeans, 3% salts and vitamins) with 40% alfalfa hay (control), while the remaining three groups were fed the same control diet in addition to 3 g probiotic/kg feed, 2 g prebiotic/kg feed or 1.5 probiotic + 1 gm prebiotic/ kg feed, respectively. The average weight of the kids was 18.90 kg at the start of the study and their average age was 4-5 months. The duration of the study was 105 days, including 15 days for adaptation. Diets were provided based on 3% of body weight. Kids were slaughtered and the carcasses cooled to 2 ° C for 24 hours. A range of measurements were made that included carcass characteristics, physical composition, muscle and bone distribution, and fat distribution pattern in the carcass. The results showed that the groups that were added to the probiotic diets significantly outperformed the control group in all measurements of carcass cuts. Both probiotic and prebiotic groups exceeded the control group in cold carcass weight, dressing percentage, fat layer thickness and eye muscle area. The three treatments also recorded the highest dressing compared to the control treatment.
Discuss the impact of general practice nursing on the lives of patients with chronic diseases
Authors: Lin Cheng
Published: February 2025

This article provides an in-depth discussion of the impact of general practice nursing on the lives of patients with chronic diseases. General Nursing is an integrated model of care that encompasses health, prevention, rehabilitation and nursing, focusing on the patient's overall health and long-term care needs. Patients with chronic diseases often face physiological, psychological, social and economic challenges, such as decreased physiological function, frequent psychological problems, impaired social skills, and increased economic burden. General practice nursing actively improves the physiological health of patients by regularly monitoring physiological indicators, providing pain management and comfort improvement, and preventing complications. At the same time, it also provides psychological counseling, emotion regulation training, and helps patients build a positive mindset. In addition, general practice nursing focuses on the involvement of family members, the use of community resources, and the enhancement of social support for patients. Economically, general practice reduces the burden on patients by reducing the number of hospitalizations and improving the efficiency of medical resource utilization. In summary, general practice nursing has a positive impact on the lives of people with chronic diseases and helps to improve their quality of life.
Impact of AI on Customer Experience in E-commerce in Egypt
Authors: Elsafty Ashraf , Hesham Saga
Published: February 2025

In a world shifting from being product centric to become customer centric, customers are at the center of attention for each company since they are the key to any desired success and profitability. The e-commerce industry is exponentially growing with rising number of customers shifting to the online shopping experience as opposed to the physical one, causing challenges for businesses to sustain their competitiveness while addressing the diversified tastes of their increasing customer base. With the change in consumer behavior, offering a unique customer experience tailored according to each customer requirements and needs can be an added value & a main differentiator in a rapidly growing and competitive market in order to retain current consumers as well as attracting new ones. Shoppers moving to the virtual experience are looking for convenience which differs in perspective according to each one and this requires understanding of their decision-making drivers and purchase motivators that varies from one customer to another that entail the need for personalization. Artificial intelligence allows businesses to have deep understanding of clients’ requirements providing insights derived from different resources like historical data & customers behavior providing accordingly personalized experiences realizing the desired convenience. This paper can assist businesses to comprehend the impact of AI on the customer experience in e-commerce industry & how it influences the personalization efforts an organization use in its process as well as the convenience with focus on Egypt as a country and for population of age ranging from 15-59 years old.
An Experimental Study of the Effectiveness of Role-play in Improving Fluency in Jordanian EFL Students' Speaking Skills
Authors: Rababah Luqman M
Published: February 2025

This research examined whether role-play exercises improved Jordanian EFL students' speaking fluency. Fifty intermediate EFL students were studied for six weeks. The experimental and control groups were randomly assigned. Both groups got classroom instruction and speaking practice; however, the experimental group also participated in role-plays. Pre- and post-tests assessed participants' speaking fluency. The research compares the fluency levels of a role-play group with a typical classroom teaching group. The experimental and control groups differed significantly in speaking fluency development. Role-playing improved speaking fluency more than the control group. These findings imply that role-playing may improve Jordanian EFL students' speaking fluency. Role-play games help students to utilize the target language spontaneously and naturally, improving speaking fluency and confidence. Thus, EFL teachers should use role-play to develop students' speaking abilities.
California’s Local Control Funding Formula: Next steps toward equity
Authors: Kaplan Jonathan
Published: February 2025

M
ore than a decade after its enactment, a growing body of research indicates the LCFF has helped to improve student outcomes, especially in K–12 school districts that enroll large shares of students with greater educational needs. However, as might be expected with a policy reform as ambitious as the LCFF, research also points to challenges in its fiscal design and opportunities to strengthen it. This report intends to establish a conceptual framework that California policymakers and education stakeholders may consider for potential adjustments to build on the solid foundation the LCFF created and continue to improve outcomes for students throughout the state.
Advancing Audio Surveillance in Simulated Environments: Real-World Soundscapes and Targeted Noise Detection through Enhanced Beamforming Techniques
Authors:   Liverpool John Moores University, Liverpool, United Kingdom, Stroud Stephen , Jones Karl ,   Liverpool John Moores University, Liverpool, United Kingdom, Edwards Gerard ,   Liverpool John Moores University, Liverpool, United Kingdom, Robinson Colin ,   Liverpool John Moores University, Liverpool, United Kingdom, Chandler Crnigoj Sebastian ,   Liverpool John Moores University, Liverpool, United Kingdom, Ellis David ,   Liverpool John Moores University, Liverpool, United Kingdom
Published: February 2025

This paper introduces an innovative beamforming approach designed for audio surveillance, executed through a virtual simulation of a real-world environment based at Liverpool John Moores University. Our research is driven by the increasing requirement for sophisticated audio analysis methods to isolate and enhance specific sounds within noisy environments for forensic analysis, for example, in criminal court cases. By leveraging a time-delay beamforming algorithm, our work offers a novel solution to discern and amplify targeted noises amidst complex soundscapes, a challenge commonly encountered in urban surveillance and forensic audio analysis. Our approach's foundation lies in utilising a carefully arranged, robust array of omnidirectional microphones, which are instrumental in capturing a wide range of real-world sound signals. The core of our methodology involves processing captured sounds using the proposed algorithm, followed by evaluating the system's effectiveness in capturing the desired localised audio sources. This paper explores the system's resilience against microphone array degradation, showcasing its robustness in scenarios of partial system functionality. The experiments, grounded in the simulation of real-world acoustic environments, demonstrate the algorithm's adeptness at managing sound reflections and reverberation, critical factors in the realistic replication of urban soundscapes. It also considers the broader implications of our findings, exploring the potential for adopting this technology in various domains beyond law enforcement, including broadcast solutions, advanced audio engineering applications, and animal conservation in the wild. In conclusion, this research showcases a creative approach to audio surveillance and opens the door to numerous applications that can benefit from enhanced methods of audio isolation and analysis. Our findings contribute to the ongoing discourse on developing advanced surveillance technologies, offering insights that could help shape the future of audio processing and analysis.
KEYWORDS: Audio Zooming, Surveillance, Forensic Evidence Gathering, Beamforming, Digital Signal Processing.
Pneumonia Detection and Lung Disease Assessment from Chest X-rays: Developing A Diagnostic Support System
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayawardena Cheneli Anne , Wedasingha Nushara ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Kolambage Nival ,   EliteVita Clinic, Dubai, UAE, Perera Shehan ,   Dialog Axiata PLC
Published: February 2025

This research, dedicated to developing an accurate and efficient pneumonia detection system from Chest X-Ray images, highlights the significance of automated tools in enhancing healthcare diagnostics. Its significance lies in the fact that pneumonia is a prevalent respiratory condition that requires timely and accurate diagnosis for effective medical intervention. The project's objective was to make use of convolutional neural networks and image analyses to create an automated diagnostic tool that could assist healthcare professionals in identifying pneumonia with precision and efficiency. To achieve this, the system initially made use of two custom deep learning architectures but ultimately used a pretrained CheXNet-based model, developed by using transfer learning. This choice was made by considering CheXNet’s proven performance in identifying pneumonia and other pulmonary conditions. The project's results proved promising, with the CheXNet-based model achieving high diagnostic accuracy and providing valuable insights into the presence of pneumonia. The system's architecture, using deep learning and the use of DICOM images, demonstrated its effectiveness in improving the accuracy and efficiency of pneumonia diagnosis. Based on the results, this paper further demonstrates a web-based application for interaction with the system. Additionally, it provides information on the work that could be done in the future. Thus, this research contributes to the growing field of medical image analysis and highlights the significance of automated tools in enhancing healthcare diagnostics. The project's outcomes are meant to pave the way for more efficient and accessible methods for pneumonia detection, ultimately benefiting both healthcare providers and patients.
KEYWORDS: Pneumonia, Chest X-rays, Diagnostic Support System, Machine Learning, CheXNet, DICOM.
Integrating Fengshui and environmental psychology into contemporary architecture design for enhanced occupant well-being
Authors: Xie Mei , Mao Yanhui
Published: February 2025

This review provides a comprehensive analysis and develops an integrated framework for incorporating Fengshui principles into modern architectural design, focusing on their multidimensional impact on occupant well-being. In ancient China, Fengshui is a sophisticated practice integrating spatial layout and environmental optimization, drawing from natural sciences such as geography, geology, meteorology, and environmental studies. Its core objective is to harmonize the natural and built environments, creating optimal living conditions that support a harmonious coexistence between humans and nature. By regulating the flow of spatial energy, Fengshui fosters livable and balanced spaces, enhancing thermal comfort, aesthetic appeal, cultural and spiritual significance, and environmental sustainability. These benefits underscore Fengshui’s contemporary relevance in modern architectural practices, showcasing its unique potential to create spaces that promote holistic well-being. This study systematically identifies four key advantages of Fengshui and explores its reintegration into modern design, emphasizing its historical wisdom in respecting and harmonizing with nature. Despite facing obstacles related to scientific validation and cultural adaptability, Fengshui is proposed as a significant theoretical framework and practical resource for architects and urban planners. It can be utilized to design environments that promote human well-being, enrich cultural significance, and support sustainability.
Mapping and Monitoring Change Detection of High-Altitude Wetland Using Remote Sensing and GIS: A Case Study of Rara Wetland, Nepal
Authors: Thapa Srijan , Pokhrel Riya
Published: February 2025

High-altitude wetlands (HAW) are essential for the environment as they mitigate climate impacts, facilitate water regulation and groundwater recharge, function as carbon sinks, and promote ecological stability. To protect it from disappearing, it is essential to map and monitor change detection to analyze the extent. However, research on monitoring HAWs remains limited in the world and gets very limited attention. This research uses Geographic Information System (GIS) and remote sensing techniques to analyze the change in Rara wetland extent from 2000 to 2020. We used the Shuttle Radar Topography (SRTM) digital elevation model to generate slope and Topographic Wetness Index (TWI) and Landsat 7 ETM+ images to derive normalized difference Vegetation Index (NDVI), Normalizing Difference Water Index (NDWI) and supervised classification for different years. Over the past two decades, 1.25% of the total area of Rara wetland has been lost at an annual rate of 0.997 hectares. It highlights the urgent necessity for conservation action. This study confirms that GIS and remote sensing effectively delineate, map, and assess wetland dynamics, offering essential insights for future conservation policies and strategies.
Designing risk assessment models for large-scale renewable energy investment and financing projects
Authors: Akhigbe Experience Efeosa , Egbuhuzor Nnaemeka Stanley , Ajayi Ajibola Joshua , Agbede Oluwole Oluwadamilola
Published: February 2025

Designing robust risk assessment models is critical for the successful implementation and financing of large-scale renewable energy projects. As renewable energy investments gain momentum globally, accurate risk identification and management have become vital to ensuring project viability and investor confidence. This paper explores the development of comprehensive risk assessment models tailored for large-scale renewable energy projects, focusing on financial, operational, regulatory, and environmental dimensions. By integrating advanced analytics, Artificial Intelligence (AI), and machine learning, these models provide data-driven insights into potential risks, enabling stakeholders to make informed decisions and mitigate uncertainties. The proposed models evaluate risks across several key categories, including market volatility, policy changes, technological reliability, environmental factors, and financial feasibility. Predictive analytics and scenario modeling enhance the ability to foresee potential disruptions and optimize project planning. AI-driven algorithms analyze historical data and real-time inputs to assess risk probabilities, offering actionable insights to project developers, financiers, and policymakers. Moreover, these models facilitate better alignment with sustainability goals by incorporating environmental impact assessments and compliance with renewable energy policies. While these models present significant benefits, challenges such as data availability, model complexity, and the integration of diverse risk factors need to be addressed. Additionally, stakeholder collaboration and regulatory frameworks play a crucial role in refining risk assessment methodologies. The paper highlights successful case studies of large-scale renewable energy projects where advanced risk assessment models have been implemented, demonstrating their impact on improving project outcomes and reducing financial uncertainties. This research underscores the importance of designing adaptable, AI-enabled risk assessment models that account for the unique challenges of renewable energy investments. By providing a framework for effective risk management, these models support the global transition toward sustainable energy systems while attracting greater investments and fostering innovation in the renewable energy sector.
Integrating Multisectoral Strategies for Tobacco Control: Evidence-Based Approaches and Public Health Outcomes
Authors: Adekola Adeleke Damilola , Mbata Akachukwu Obianuju , Ogbeta Cordia Peter
Published: February 2025

Tobacco use remains a leading cause of preventable morbidity and mortality worldwide, necessitating comprehensive, multisectoral strategies for effective control. This paper explores the integration of evidence-based approaches across various sectors—including healthcare, policy, education, economics, and technology—to strengthen tobacco control measures. The study examines the role of global frameworks such as the WHO Framework Convention on Tobacco Control (WHO FCTC) and the MPOWER policy package in guiding national and local interventions. Key strategies analyzed include taxation and pricing policies, stringent advertising bans, graphic health warnings, smoking cessation programs, and community-based awareness campaigns. Additionally, the paper highlights the importance of leveraging digital technologies, such as artificial intelligence, big data analytics, and mobile health (mHealth) applications, in enhancing public health interventions. Special attention is given to the socioeconomic and demographic factors influencing tobacco consumption patterns, emphasizing the need for equity-focused policies that address disparities in access to cessation support. Furthermore, cross-sector collaboration among governments, public health institutions, non-governmental organizations, and private entities is explored as a critical enabler of sustainable tobacco control. The study synthesizes empirical evidence from global case studies to demonstrate the effectiveness of integrated tobacco control strategies in reducing smoking prevalence, improving health outcomes, and mitigating economic burdens. It also discusses challenges, such as industry interference, enforcement gaps, and cultural resistance, and proposes policy recommendations for strengthening governance, monitoring, and evaluation mechanisms. The findings underscore that a holistic, evidence-driven, and multisectoral approach is essential to achieving long-term public health benefits and advancing global tobacco control objectives.
BENEFÍCIOS DA GINÁSTICA LABORAL PARA EMPRESAS E SEUS COLABORADORES: UMA ANÁLISE DA LITERATURA
Authors: Soares Cristiano Luiz , Portugal Júnior Pedro dos Santos , Alves Alessandro Ferreira
Published: February 2025

A Ginástica Laboral é uma prática promissora para melhorar a saúde e o bem-estar dos trabalhadores. Esta revisão da literatura aponta os benefícios na redução do absenteísmo, na prevenção de lesões musculoesqueléticas, no alívio de dores, na melhoria da concentração e melhora do relacionamento entre a equipe. Além disso, a Ginástica Laboral fortalece o contato entre os colaboradores e contribui para a imagem corporativa das empresas. No entanto, sua implementação bem-sucedida requer estratégias de comunicação e adaptação às necessidades específicas de cada ambiente de trabalho. Portanto, as empresas podem adotar a Ginástica Laboral como parte de suas políticas de saúde ocupacional para criar ambientes de trabalho mais saudáveis e produtivos.
PRESERVAÇÃO DE VESTÍGIOS DE CRIME E CADEIA DE CUSTÓDIA EM VÍTIMAS DE ESTUPRO
Authors: Monteiro Simone Fernandes , Mota Denise Souza de Meira , Godoy Enrico Souza de , Almeida Adriana Conrado de
Published: February 2025

Objetivo: Analisar o conhecimento da equipe de enfermagem sobre a preservação de vestígios de crime e cadeia de custódia em unidade de saúde referência no acolhimento a vítimas de estupro e realização do aborto legal. Métodos: Estudo transversal, descritivo e exploratório com 35 profissionais, incluindo técnicos de enfermagem e enfermeiros da urgência e do centro cirúrgico. Os dados foram coletados por questionário com variáveis sociodemográficas e variáveis específicas sobre preservação de vestígios e cadeia de custódia conforme processo penal brasileiro, e analisados com IBM SPSS v.25. Resultados: O perfil dos participantes é constituído por sexo feminino (88,6%), técnicos de enfermagem (71,4%), com mais de dez anos de formação (48,81%) e mais de 20 anos de experiencia profissional (45,7%). Os resultados indicaram falta de capacitação adequada para preservação de vestígios, apesar de sua importância ser reconhecida por 80% dos profissionais. Conclusão: Os resultados ressaltam a necessidade de realizar cursos de formação e aperfeiçoamento aos profissionais de enfermagem, especialmente aqueles que prestam assistência diretas às vítimas de crimes sexuais e preservação de vestígios, enfatizando a implementação de protocolos padronizados e a comunicação interdisciplinar.
IOT Based - Smart Helmet for Air Quality and Hazardous Event Detection for the Mining Industry
Authors:   Department of Electronics and Communication Engineering,  Sri Shakthi Institute of Engineering and Technology, L&T Bypass, Coimbatore,, Prema C
Published: February 2025

The security of the underground mines must be increase because disasters in underground mines are very serious issues now days. The difficulties faced by miners working underground are gas explosion, temperature, etc. If any disaster occurs in mine and if miner gets injured, all the blame directly goes on supervisor. So there must be communication between miners, supervisor and control station. Therefore the purpose of the proposed system is to modify an existing mining safety. Helmet is one of the safety accessories miner should wear while mining. The aim is to make the helmet even safer by adding network. This added network is used to sense the environmental conditions around the miner working underground and all the real time values are wirelessly updated on the internet by using IoT so the control station get to know about the environmental conditions in which miner working and if any abnormal condition occur they are able to provide the rescue as early as possible. The system also includes the LCD and buzzer to let co-workers know if any unwanted event occurs with miner. The proposed system uses different sensors like Gas Sensor, dht11 Sensor, accelerometer, vibration and IR Sensor. Here the IR sensor is used as helmet removing sensor. And also in this system we use machine learning to analysis the employee health, Heart Disease is one among the major diseases affecting the individual around the world. There are several risk factors which leads to heart disease. The combination of logistic regression analysis and neural network provides a novel approach in predicting the heart disease. Initially logistic regression is applied to select the major risk factors for predicting the disease. It produces the significant risk factors that are useful in predicting the heart disease based on statistical p-value. The risk factors which are not having the significant impact are identified and removed. The resultant significant factors are provided as input to the neural network.

Keywords: Underground Mines, Mining Safety, IoT (Internet of Things), Helmet Safety, Gas Explosion, Environmental Monitoring, Real-time Monitoring, Communication System, Machine Learning, Logistic Regression, Neural Network, Heart Disease Prediction, Risk Factor Analysis, Gas Sensor, DHT11 Sensor,

Accelerometer, Vibration Sensor, IR Sensor, Helmet Removal Detection, Rescue Operation, Control Station, Buzzer Alert, LCD Display, Safety Equipment.
Effect of Waste Foundry Sand on the Different Properties of Concrete
Authors:   1Civil Engineering & Pravara Rural Engineering College Loni, VIKHE NIKHIL ANNASAHEB
Published: February 2025

Used-foundry sand is a by-product of ferrous and nonferrous metal casting industries. Foundries successfully recycle and reusable the sand many times in a foundry. When the sand can no longer be reused in the foundry, it is removed from the foundry and is termed waste foundry sand. In an effort to utilization waste foundry sand in large volume, research is being carried out for its possible large-scale utilization in making concrete as partially replacement of fine aggregate. This paper presents the results of an experimental investigation carried out to evaluate the different properties of concrete mixtures in which fine aggregate (regular sand) was partially replaced with waste-foundry sand (WFS). Fine aggregate was replaced with five percentages (5%, 10%, 15%, 20%, and 25%) of WFS by weight. Tests were performed for the properties of fresh concrete. Compressive strength, splitting- tensile strength, flexural strength and on-destructive test were determined at3, 7and 28 days. Test results indicated a marginal increase in the strength properties of plain concrete by the inclusion of WFS as partial replacement of fine aggregate (natural sand) and that can be effectively used in creating good quality concrete and construction materials.

Key Words: Industrial waste, waste-foundry sand, Compressive strength
Pengaruh Jenis Variasi Perekat pada Briket dari Limbah Ampas Kopi
Authors: Crisdiantoro Edwin Eka , Bimantio Mohammad Prasanto , Oktavianty Herawati
Published: February 2025

The depletion of conventional energy sources has prompted the exploration of alternative energy materials, one of which is coffee grounds. Coffee grounds can be processed into briquettes, a solid fuel with high carbon content, high calorific value, and prolonged combustion duration, making them a viable alternative energy solution. This study aims to determine whether the type and proportion of binder significantly affect the briquette properties and to identify the most effective binder for briquette production. The research utilizes an experimental design with a Complete Randomized Block Design (CRBD) consisting of two factors, with two replications. The binders used in this study are starch and arpus, with binder concentrations of 12%, 16%, and 20%. The briquettes were evaluated based on several parameters, including moisture content, volatile matter content, ash content, fixed carbon content, calorific value, and burning rate. The results indicate that binder type (Factor A) significantly affects all tested parameters, and binder proportion (Factor B) also influences the same parameters. The best moisture content was observed in the A2B1 treatment, which used arpus as a binder with a 12% proportion, resulting in an average moisture content of 4.72%. The lowest ash content was found in the A2B3 treatment (arpus binder, 20% proportion), with an average ash content of 4.31%. The highest calorific value was recorded in the A2B1 treatment (arpus binder, 12% proportion), with an average calorific value of 6334.03 cal/g. The best burning rate was found in the A2B3 treatment (arpus binder, 20% proportion), with an average burning rate of 51.83 mg/s. These findings suggest that arpus is an effective binder for coffee ground briquettes, with optimal performance achieved at specific binder proportions depending on the desired properties.
Implementation of fully electric propulsion and variable speed drive to reduce ships emissions for sustainable maritime technology
Authors: Rahman Abdul , Antariksa Antariksa , Semedi Bambang , Wahyudi Slamet
Published: February 2025

Implementing fully electric propulsion systems and variable speed drives (VSD) in warships to enhance electric load management and reduce exhaust emissions. The maritime industry is facing increasing pressure to adopt sustainable technologies to mitigate environmental impacts, especially in reducing greenhouse gas emissions from ships. Fully electric propulsion systems, combined with VSD technology, offer a promising solution by optimizing energy efficiency, minimizing fuel consumption, and decreasing operational emissions. The study presents a detailed analysis of the integrated electric propulsion system, highlighting its ability to provide dynamic power distribution based on the ship's operational needs. By utilizing VSDs, the system can adjust the speed of electric motors in response to varying load demands, thereby reducing unnecessary energy consumption. This approach significantly contributes to lowering the ship's overall carbon footprint. A case study on an LPD ship was conducted to evaluate the practical effectiveness of the proposed system. The results indicate a substantial reduction in fuel consumption and exhaust emissions, demonstrating the system's potential to align with international maritime environmental regulations, such as the IMO’s emission standards. Additionally, the study explores the operational benefits, including improved power stability and enhanced performance during different operational modes, such as docking, cruising, and maneuvering. This research contributes to the growing knowledge of sustainable ship design and propulsion technologies and offers practical insights for ship operators and engineers aiming to transition to more eco-friendly maritime practices.
Pengaruh Tingkat Pendidikan dan Keaktifan Organisasi Tentang Antusiasme Berwirausaha di Kalangan Mahasiswa Pendidikan Ekonomi Angkatan 2020-2021 Uniwara
Authors: Fahri Wardhana  , Sugeng Pradikto
Published: February 2025

This study aims to analyze the impact of education level and organizational participation on Economic Education students' interest in entrepreneurship at PGRI Wiranegara University (UNIWARA) class of 2021-2022. The methodology applied in this research is a quantitative approach using a survey. Information was obtained through questionnaires administered to students and analyzed using statistical methods. Research findings indicate that education plays an important role in influencing interest in entrepreneurship, where formal education provides the knowledge and skills needed for entrepreneurship. Apart from that, participation in organizations also has a good impact on interest in entrepreneurship, because it provides practical experience and opportunities to network. The combination of these two factors shows a more significant impact than if you only pay attention to one factor alone. It is hoped that the results of this research can contribute to the development of the entrepreneurship education curriculum and extracurricular activities to increase students' interest in entrepreneurship.
Perilaku Konsumtif Mahasiswa Dalam Membeli Produk Fashion Di Universitas PGRI Wiranegara Pasuruan
Authors: Nanda Eka Amilia
Published: February 2025

This article aims to analyze the factors that influence the consumer behavior of PGRI Wiranegara Pasuruan University students in purchasing fashion products. The approach used in this article is a qualitative approach, and data collection for this article is interviews and closed questionnaires with 10 PGRI Wiranegara Pasuruan University students. The results of this research show that peers and family can be the biggest motivating factors in carrying out excessive consumptive behavior. This research contributes to the understanding of student consumer behavior.
Memupuk Jiwa Kreatif dan Inovatif dalam Kewirausahaan untuk Generasi Gen Z yang Lebih Baik
Authors: Mochamad Raka Putra Basarah  , Edy Soesanto  , Nazwa Maharani
Published: February 2025

Higher education plays a crucial role in shaping young generations who not only possess strong academic knowledge but also strong character. In an era of globalization and advancing technology, the challenges faced by students are not limited to mastering academic material but also include their ability to interact with society empathetically and be sensitive to the social issues around them. Therefore, character development in higher education environments has become an urgent necessity that cannot be overlooked. Character development aims to instill moral values, ethics, and a sense of social responsibility in students. These values include integrity, compassion, cooperation, and a sense of responsibility toward the community. Character education involves not only academic aspects but also students' participation in activities that allow them to directly engage with society, such as community service, student organizations, and other social activities.
Keunikan Suku di Indonesia dalam Mempersatukan Bangsa ditengah Perbedaan Budaya
Authors: Djenap Zamilummi Polhaupessy  , Edy Soesanto  , Nazwa Maharani
Published: February 2025

Ethnic and cultural diversity is not only a characteristic of Indonesia, but also part of national identity. Indonesia is known as a country with extraordinary tribes and cultures. Consisting of more than 300 ethnic groups and 700 regional languages. Indonesia is a clear example of the motto "Bhinneka Tunggal Ika" which means "Diverse but still one". This diversity is not a challenge, but rather a wealth and strength that makes Indonesia unique in the eyes of the world. However, amidst cultural richness, the challenge of maintaining social harmony is a necessity that cannot be ignored. These challenges include discrimination and intolerance, globalization and westernization, and so on. Providing the above resistance, efforts are needed to maintain harmony amidst diversity through multicultural education, intercultural dialogue, and also involving the government and mass media. However, sometimes these differences actually cause divisions between nations.
Digital Parenting Meningkatkan Perkembangan Anak Yang Berkualitas
Authors: Nurselvi Fajria  , Abie Syifa Mahendra  , Martiana Fita Setiani  , Faiz Roziqi  , Muslikah Muslikah  , Ashari Mahfud
Published: February 2025

Digital technology has had a profound impact on contemporary parenting patterns, particularly among children born in the digital era. This study aims to examine the influence of digital parenting on enhancing early childhood development by employing a comprehensive literature review.It synthesizes extant research findings to elucidate the relationship between digital parenting and child development.The findings indicate that effective digital parenting practices, such as content monitoring, time restriction, and digital ethics education, can contribute to the development of quality children. Additionally, the study underscores the significance of open communication between parents and children in mitigating the potential adverse impacts of digital technology.This research offers novel insights into the pivotal role of parents in guiding children in the digital age and puts forth practical strategies that can be integrated into daily parenting practices.
Dasar-Dasar Etika Politik Franz Magnis Suseno
Authors: Wahyu Trisno Aji
Published: February 2025

This article aims to describe the basics of political ethics from the perspective of Franz Magnis Suseno. The method used is qualitative which aims to analyze and describe the basics of Franz Magnis Suseno's political ethical thought. As a data collection method, it uses library research documentation techniques by including 2 sub points, namely the biography of Franz Magnis Suseno and the basics of his political ethics thinking. The results of the research are that Franz Magnis Suseno's political ethical thinking certainly also has its own unique style of thinking. He is an intellectual who lives in the country of Indonesia which has many diverse cultures. The inspiration for Franz Magnis Suseno's political ethics as far as can be seen is based on 3 things in looking at politics in Indonesia, namely the basis of Catholic teachings which are his beliefs, Javanese ethics which he admires so much and Pancasila as the ideology of the Indonesian nation which he sees as the basis of life for the Indonesian nation. Franz Magnis Suseno sees these three variables in political conditions in Indonesia.
Kepastian Hak Perorangan dalam Proses Pendaftaran Tanah di Kecamatan Ruteng Kabupaten Manggarai
Authors: Arsenius Nggebok  , Sukardan Aloysius  , Petronius Damat
Published: February 2025

The purpose of this research is to analyze the certainty of individual rights in the land registration process in Ruteng District, Manggarai Regency. In this research, empirical juridical research is used. The approach used in this research is the statute approach. The types and sources of data in this research are primary data and secondary data. Respondents in this research are the Head of Ruteng Sub-district, the Head of Meler Village, Ruteng Sub-district, and the people of Ruteng Sub-district. Data collection techniques are field study and literature study. The result of this research is that in the implementation of land registration in Ruteng Subdistrict, Manggarai Regency, in reality not all of them have been registered, especially in Meler Village, Ruteng Subdistrict, Manggarai Regency, there are 732 people who have registered their land rights out of 2,865 residents. This is due to obstacles faced by the government related to the lack of response from the community. The obstacles that occur in the process of land registration in Rureng District, Manggarai Regency include: Lack of public knowledge about the importance of land registration, Lack of public understanding of the functions and uses of certificates, Public perception that land registration is expensive, Perception that the process of obtaining certificates takes a long time, Disputes between land owners, Assumption that the basis of land rights owned is strong, Errors in the process of measuring land to be registered.
Tinjauan Yuridis Terhadap Ancaman dan Upaya Penanggulangan Tindak Pidana Perundungan di Dunia Maya (Cyberbullying)
Authors: Kayla Astrida Aristianto
Published: February 2025

Current technological advances have positive and negative effects. While there are many benefits to be gained from this advancement, it also has many negative effects for users. The number of crimes that occur in cyberspace, such as cyberbullying, is one of the negative impacts that must be addressed and must be followed up when imposing sanctions on perpetrators. Because it has had a negative impact on victims of cyberbullying, the perpetrator must be given a deterrent punishment. Normative juridical research methods were used in this research, and the data collection method used was literature study. The government has established laws regarding the criminal act of cyberbullying, as stated in the Criminal Code and the ITE Law. The aim of this law is to eradicate and minimize cyberbullying perpetrators and acts.