bluuebunny/crossref_metadata_2025 huggingface dataset:
MAS-DR: An ML-Based Aggregation and Segmentation Framework for Residential Consumption Users to Assist DR Programs
Authors: Tzallas Petros , Papaioannou Alexios , Dimara Asimina , Bezas Napoleon , Moschos Ioannis , Anagnostopoulos Christos-Nikolaos , Krinidis Stelios , Ioannidis Dimosthenis , Tzovaras Dimitrios
Published: February 2025

The increasing complexity of energy grids, driven by rising demand and unpredictable residential consumption, highlights the need for efficient demand response (DR) strategies and data-driven services. This paper proposes a machine learning-based framework for DR that clusters users based on their consumption patterns and categorizes individual usage into distinct profiles using K-means, Hierarchical Agglomerative Clustering, Spectral Clustering, and DBSCAN. Key features such as statistical, temporal, and behavioral characteristics are extracted, and the novel Household Daily Load (HDL) approach is used to identify residential consumption groups. The framework also includes context analysis to detect daily variations and peak usage periods for individual users. High-impact users, identified by anomalies such as frequent consumption spikes or grid instability risks using IsolationForest and kNN, are flagged. Additionally, a classification service integrates new users into the segmented portfolio. Experiments on real-world datasets demonstrate the framework’s effectiveness in helping energy managers design tailored DR programs.
Topography of the Corrugator Supercilii Muscle Relative to the Eyebrow and Its Clinical Application in Botulinum Toxin Injections
Authors: Shin Hyun Jin , Choi You-Jin , Shin Kang-Jae , Song Wu-Chul
Published: February 2025

The purpose of this study was to elucidate the topography of the corrugator supercilii muscle (CSM) relative to the eyebrow with the aim of providing topographical guidance for botulinum toxin type A (BTX-A) injections in the East Asian population. Thirty-six hemifaces of 18 donated bodies for anatomical studies were dissected. Prior to dissection, four specific points on the eyebrow were marked to serve as reference points. A superimposition method for analyzing the position of the CSM relative to the eyebrow involved overlaying an image showing the dissected muscle onto a pre-existing image that contained reference lines indicating the eyebrow landmarks. The CSM almost overlaps the eyebrow at its medial end. Significantly, the central part of the CSM’s width was positioned just above the upper point of the eyebrow, being closely aligned with the midpupillary line. There was minimal overlap of the CSM beyond the midpupillary line on the lateral side, indicating that this muscle becomes relatively scarce or less distinct as it extends laterally from the midpupillary line. For effectively targeting the CSM, it is recommended to inject BTX-A precisely at the center of the medial end of the eyebrow just above the midpupillary line.
Thermal Stability and Matrix Binding of Citrinin in the Thermal Processing of Starch-Rich Foods
Authors: Brückner Lea , Neuendorff Florian , Hadenfeldt Katharina , Behrens Matthias , Cramer Benedikt , Humpf Hans-Ulrich
Published: February 2025

Citrinin (CIT) is a nephrotoxic mycotoxin commonly found in a broad range of foods, including cereals, spices, nuts, or Monascus fermentation products. Analyses have shown that CIT is present in processed foods in significantly lower concentrations than in unprocessed materials. Modified forms of CIT arising during food processing may provide an explanation for the discrepancy. This study deals with the thermal stability of CIT and the formation of reaction products of CIT with carbohydrates, followed by toxicological evaluations using cell culture models. HPLC-HRMS degradation curves of CIT heated in different matrix model systems were recorded, and the formation of decarboxycitrinin (DCIT), the main degradation product, was quantified. Additionally, chemical structures of reaction products of CIT with carbohydrates were tentatively identified using MS/MS spectra and stable isotope labelling. Subsequently, the degradation of CIT during biscuit baking was studied, and carbohydrate-bound forms of CIT were detected after enzymatic starch digestion. The formation of DCIT could explain the majority of CIT degradation, but, depending on the process, covalent binding to carbohydrates can also be highly relevant. Cytotoxicity of DCIT in IHKE-cells was found to be lower compared to CIT, while the toxicity as well as the intestinal metabolism of carbohydrate-bound CIT was not evaluated.
Bothrops jararacussu Venom Inactivated by High Hydrostatic Pressure Enhances the Immunogenicity Response in Horses and Triggers Unexpected Cross-Reactivity with Other Snake Venoms
Authors: Teixeira-Araujo Ricardo , Suarez Marisa Carvalho , Correa-Netto Carlos , da Cunha Luis Eduardo Ribeiro , Foguel Debora , Zingali Russolina Benedeta
Published: February 2025

High hydrostatic pressure (HHP) has been used for viral inactivation to facilitate vaccine development when immunogenicity is maintained or even increased. In this work, we used HHP to inactivate Bothrops jararacussu venom. Our protocol promotes the loss of or decrease in many biological activities in venom. Horses were immunized with pressurized venom, and in contrast to native venom, this procedure does not induce any damage to animals. Furthermore, the serum obtained with pressurized venom efficiently neutralized all biological activities of B. jararacussu venom. Antibody titrations were higher in serum produced with pressurized venom compared to that produced by native venom, and this antivenom was not only effective against the venom of B. jararacussu but against the venom of other species and genera. In conclusion, our data show a new technique for producing hyperimmune serum using venom inactivated by HHP, and this method is associated with a reduction in toxic effects in immunized animals and higher potency.
Enheduana
Authors: Carvalho Alexandre Galvão
Published: February 2025

Este trabalho visa discutir a importância exercida pela princesa Enheduana durante seu ofício como en sacerdotisa. Enheduana será abordada por meio da evidência visual mesopotâmica e de seus escritos, com o objetivo de entendermos sua influência na transformação do sacerdócio feminino e na manipulação do sistema ideológico da época em proveito próprio e do império acadiano. Nesse sentido, o texto demonstra como Enheduana foi um importante agente na manutenção e reforço do poder acadiano nas cidades-estados da região suméria.
A Reflexões sobre as Res Gestae Divi Augusti
Authors: Silva Rafael Guimarães Tavares da
Published: February 2025

As palavras das Res Gestae Divi Augusti — expressão latina que poderia ser traduzida para o português como As façanhas realizadas pelo divino Augusto — oferecem testemunho de um momento fundamental para quem se interessa pela Antiguidade Greco-Romana, qual seja, a transição de regime político entre a República e o Principado, sob a atuação de Otávio (depois aclamado como Augusto). Com o objetivo de avançar reflexões atualizadas sobre esse texto e sua importância histórica, pretendemos analisar seu contexto de composição, seu gênero discursivo, sua autoria, sua formulação e seu estilo, assim como alguns momentos de sua recepção (tanto na Antiguidade quanto em outros contextos históricos). Revisitaremos a bibliografia especializada no assunto a fim de propor uma interpretação geral que destaque alguns dos sentidos desse documento para estudiosos da cultura greco-romana ainda hoje.
As Luzes às avessas e o Dioniso de Jean-Pierre Vernant
Authors: Guimarães José Otávio Nogueira
Published: February 2025

O ensaio explora algumas singularidades da antropologia histórica de Jean-Pierre Vernant, destacando suas interpretações da tragédia grega e de Dioniso no contexto das relações entre helenismo e modernidade.
Migrações germânicas
Authors: Lindner Martin , Steffensen Nils
Published: February 2025

Durante séculos, Armínio foi um ponto central da recepção alemã da antiguidade e uma figura fundadora que foi apropriada por vários lados. Com o fim da Segunda Guerra Mundial e as transformações subsequentes em uma Alemanha dividida, "Hermann, o Alemão" parecia ter perdido a base de sua legitimação. Nosso dossiê irá delinear a mudança do papel de Armínio e da história germânica na República Federal até os dias atuais (incluindo algumas observações sobre a efêmera República Democrática Alemã). O foco será no filme como criador e portador de uma imagem popular, a utilização da perspectiva de atores estatais e a posição das tribos germânicas no currículo escolar.
Somos de pedra
Authors: Dell'Elicine Eleonora
Published: February 2025

A celebração do Centenário da Revolução de Maio constituiu o quadro de uma política estatal planejada de construção de monumentos comemorativos, principalmente na capital. A alegoria cívica estava na ordem do dia, recorrendo a temas diversos como a República, as funções do novo Estado, o Trabalho ou as atividades econômicas. Este artigo estuda a linguagem alegórica que estes monumentos carregam através de um corpus escultórico representativo. O uso de alegorias e de alguns padrões clássicos faz parte dessa linguagem que propõe identidades e valores universais para o novo país.
PRACTICAL APPLICATION OF ACTUAL WEATHER CONDITIONS ANALYSIS
Authors: Biryukov Aleksey , Gnitiev Pavel , Gnitieva Anna
Published: February 2025

An important role in the evaluation of energy saving measures is played by correct consideration of the weather conditions of the region for which the measures are planned. The calculation of the energy-saving measures efficiency based on the using of standard temperatures for Donetsk from currently existing regulatory documents is not sufficiently reliable. The actual thermal energy savings, which calculated based on the use of actual weather data, are 12-18% lower than the expected calculated one. Based on the fact that almost all energy-saving measures related to reconstruction or modernization are highly costly and have a long payback period, it is necessary to take into account real weather factors when calculating.
FEATURES OF APPLICATION OF MACHINE VISION SYSTEM FOR CONTROLLING ELECTRICAL DRIVE OF OVERHEAD CRANE
Authors: Soldatenkov Alexey , Malysheva Alvina , Sedogin Mikhail
Published: February 2025

The paper explores the possibility of using a machine vision system together with a standard overhead crane electric drive control system. The problem of the spatial oscillations that reduce the accuracy of cargo positioning and the reasons for their occurrence are solved in this article. Various options for using overhead crane electric drive control systems to dampen oscillations are presented, and their comparative analysis is performed. The advantages and disadvantages of the PID-control system, a fuzzy logic control system and an adaptive control system for overhead crane electric drive are analyzed. The advantages of machine vision systems using are given. The efficiency of integrating a machine vision system into a 20/5 t double-girder overhead crane system is estimated. The algorithms for machine vision using to expand the capabilities of the standard overhead crane electric drive control system are proposed. An algorithm for monitoring cargo gripping is presented, consisting in determining the overall parameters of the cargo, determining its geometric center and the method of gripping. An algorithm for movement control is described, determining the most optimal transportation route and automatically assessing the space around the object of movement. A combined control system for an overhead crane is presented.
Impacto da hipomineralização molar-incisivo na qualidade de vida das crianças
Authors: Arruda Thaylline Quaioto , Gomes Ana Paula Martins , Thomes Caroline Rodrigues , Gomes Ana Maria Martins , Sarmento Lilian Citty
Published: February 2025

Conforme a relevância do impacto da Hipomineralização Molar-Incisivo na qualidade de vida das crianças, o objetivo deste estudo foi compreender como essa condição afeta os aspectos funcionais, emocionais e sociais. Para tanto, foi realizada uma revisão integrativa da literatura, com busca nas bases PubMed, SciELO, LILACS, BBO e MEDLINE, utilizando os descritores: “Quality of Life”, “Molar Incisor Hypomineralization”, “Children” e “HMI”. A seleção de artigos com critérios de inclusão e exclusão resultou na escolha de 18 estudos. Os resultados indicam que a gravidade da HMI está relacionada a impactos negativos, como sensibilidade dentária, dificuldades com higiene bucal, alimentação e estética, além de afetar a vida social e emocional das crianças. Crianças em contextos socioeconômicos enfrentam dificuldades adicionais no acesso a cuidados odontológicos. Intervenções odontológicas, como microabrasão e clareamento, demonstraram melhorar a qualidade de vida ao reduzir a visibilidade das opacidades do esmalte. Conclui-se que há uma associação entre a Hipomineralização Molar-Incisivo e qualidade de vida relacionada à saúde bucal de crianças e a gravidade desta condição está relacionada à maiores impactos negativos nos aspectos funcionais, emocionais e sociais. No entanto, a relação não é uniforme e fatores socioeconômicos e culturais podem influenciar os resultados.
Comparative-Contrastive Analysis of Linguistic Resources for Corpus Analysis of Texts
Authors:   Peter the Great Saint Petersburg Polytechnic University, Dmitrijev A. V. , Krupnova E. S. ,   Peter the Great Saint Petersburg Polytechnic University
Published: February 2025

In the last few decades, a scientific field known as computational linguistics has been actively developing. The paper discusses the main task of corpus linguistics – corpus analysis of written natural-language texts with the help of linguistic resources that are used to solve it. Corpus analysis refers to a method of language research that utilizes large collections of texts or corpora to obtain statistical and linguistic data about the language. Linguistic resources such as dictionaries, thesauri, and grammatical databases greatly enhance the capability and accuracy of corpus analysis. In addition, corpus linguistics deals with the building of corpus managers that process texts, perform concordance, search for keywords and collocations, etc. The paper briefly describes the functionality of WMatrix, WordSmith, GATE, AntConc and Sketch Engine programs and makes a comparative-contrastive analysis of their characteristics. It is concluded that the programs differ in feature set, data saving parameters, input text format and accessibility. In addition, directions for their use in research and practice are suggested. Linguistic resources can be useful for stylistic analysis of texts, studying linguistic features of author's style, teaching a foreign language, for example, grammar or vocabulary, in computer lexicography, discourse analysis and other directions. The example of the corpus analysis of the topic famine during the blockade of Leningrad with the help of the AntConc program is given. In the course of the mentioned research, 749 fragments of memories of Leningrad citizens were collected on the basis of 15 frequency words and a frequency dictionary of 158 words was compiled. Considered tools not only increase the accuracy of analysis, but also expand the possibilities and integrate into software tools for automation of corpus analysis. The choice of the appropriate tool for the study depends on the scope and depth of text analysis.
Prompt Language, or Features of Formulation of Queries to Generative Neural Networks for Image Creation
Authors:   Yaroslav-the-Wise Novgorod State University, Alexeeva L. G. , Alexeev P. S. ,   Yaroslav-the-Wise Novgorod State University
Published: February 2025

The article deals with the problem of formulating a competent request (prompt) to generative neural networks that allow to create an image. This topic is currently very relevant, because due to the rapid development of technological progress, artificial intelligence systems are being implemented in almost all areas of human life. Many users do not know how to properly make a request to a generative neural network, so the result is often inaccurate or even incorrect. In the course of the research, an experiment was conducted, in which 67 students of NovSU Polytechnic College, majoring in Information Systems and Programming, took part. The students were asked to answer the following question: How would you make a request for Stable Diffusion to create a portrait of a young programmer at a desk in a modern office with panoramic windows, working at a laptop? Also there is a mug of coffee on the desk. The results of the experiment have shown what mistakes users most often make when writing prompts, how to avoid them, and also helped to introduce a new term – prompt language and describe its main features. It has been found that in order to get the desired result when formulating a prompt the user should use the English language, since modern models are trained on English language databases. In addition, it is necessary to sometimes ignore the rules of grammar and syntax, as this can complicate the task of the generative neural network. Also, when creating non-existent objects or hybrids, in a query, you can use square brackets and numbers to mix keywords in a certain ratio, which is useful for creating unique or fantasy images.
The Impact Assessment of the Mineral Aggregates’ Deposits on the Storage Area
Authors: ȘERBAN Anca , LEOPA Adrian
Published: February 2025

The construction sector is vital for our modern society such that most of the modern activities are dependent on constructions. The demographic increase and the longing of our times to better living conditions are the main exponents of unprecedented development in the construction field. The consequence of this phenomenon is the continuous growth of waste from construction and demolition. The management of these waste according to the sustainable development principles involves recycling or where not possible their storage considering the environmental tasks. This paper marks out the management of the two construction and demolition wastes, gas-formed concrete and concrete, taking account of the chemical composition of the leachate resulted from the waste drainage in the ground due to precipitation.
Prediction of Deformation of Hexagonal Honeycomb Blast Structure Under Explosive Loading Using Deep Learning
Authors: MARIN Mihaela , MARIN Florin-Bogdan
Published: February 2025

Honeycomb composites are widely used in blast structure under explosive loading because of mechanical properties. The simulation of high-pressure explosion is time consuming in order to simulate an important number of scenarios. New deep learning neural models might approximate results with low computational resources outputting the result very fast. The purpose of this study is to propose using deep learning model using a relative low amount of training fata to approximate deformation in honeycomb structures subjected to a blast load. This study employed variation of hexagonal honeycomb dimensions to determine the deformation using deep learning model.
Experimental Research on the Influence of Lens Cleaning Products, on Their Hardness
Authors: TUDOR Beatrice Daniela , BĂBUȘANU Iustina
Published: February 2025

The paper presents a study on the influence of optical lens cleaning products for vision correction on their hardness. The lenses under study were previously cleaned repeatedly with different cleaning products, namely, special eyeglass wipes and liquid detergent. The research was carried out on a group of lenses with and without protection, of different thicknesses and diopters.
Prácticas y características de los usuarios de videojuegos en América Latina
Authors: Penix-Tadsen Phillip
Published: February 2025

Como medio de comunicación y representación, los videojuegos tienen una influencia descomunal y un impacto inmenso sobre la sociedad en todas partes de América Latina hoy en día. A pesar de su popularidad e influencia a lo ancho de la región, todavía tenemos relativamente poco análisis de datos sobre los hábitos, rasgos y particularidades de la población regional de usuarios de videojuegos, el cual consta en enfoque central del presente estudio. El artículo primero ofrece un recorrido detallado de los estudios, cifras y estadísticas disponibles en una multitud de fuentes estatales, académicas y privadas que nos ayudan a definir las prácticas y características de los usuarios de videojuegos en América Latina. Luego el artículo se enfoca en la multitud de obstáculos que hay que enfrentar para poder medir y percibir con precisión el perfil típico del jugador regional—si es que tal cosa pueda existir—y arguye que la visión parcial que tenemos todavía no nos ha podido ofrecer una comprensión plena de cómo se definen los jugadores latinoamericanos en términos demográficos.
Analysis of Anaemia Incidence in Pregnant Women
Authors: Rahma Nurul , Dewi Ratna , Anggraini Dina
Published: February 2025

In Indonesia, the prevalence of anaemia among pregnant women is 37%, indicating that the incidence of anaemia among pregnant women is still relatively high. In Bengkulu, Jembatan Kecil Health Centre recorded the highest number of anaemic pregnant women, 27. The purpose of this study was to determine the relationship between age, knowledge, Fe tablet consumption compliance, and class participation of pregnant women with the incidence of anaemia. This research method used an analytical survey with a cross sectional design. The sampling technique was done by total sampling, involving 93 pregnant women. There was a significant relationship between age, knowledge, Fe tablet consumption, and classes of pregnant women with the incidence of anaemia in third trimester pregnant women, with a p value = 0.001. Adherence to Fe tablet consumption was the variable that most influenced the incidence of anaemia in third trimester pregnant women with the highest Exp(B) value of 56.875. This study concluded that there is a relationship between age, knowledge, adherence to Fe tablet consumption, and activeness of pregnant women's classes with the incidence of anaemia in pregnant women at Jembatan Kecil Health Centre in 2024. It is expected that health workers monitor Fe tablet consumption through family empowerment and health cadres.
Upaya Optimalisasi Pajak Restoran Melalui Penguatan Pangkalan Data Secara OnlineDalam Peningkatan Pendapatna Asli Daerah
Authors: Suparmono Suparmono - , Dekiawan Hermada
Published: February 2025

This research aims to analyze the problem of regional financial dependence on income from the central government, especially restaurant taxes. The analytical tool used in this research is comparative analysis of realization data and revenue targets for PAD, especially restaurant taxes. From these results, they were then analyzed using a SWOT analysis approach to obtain a strategy to increase revenue from restaurant taxes, especially with an emphasis on digitalizing online taxpayer data collection. From the results of the analysis, it was found that there is still a gap between potential and actual revenue due to low tax awareness and weaknesses in determining revenue targets.
Gestão de pessoas na perspectiva dos servidores públicos da prefeitura municipal de Sumé-PB
Authors: Almeida de Vasconcelos Souto Gerlandia , Freire da Silva Allan Gustavo
Published: February 2025

The general objective of this study is to analyze the perspectives and challenges of public servants in the health sector of the Municipal Government of Sumé-PB. The specific objectives are: to present the profile of employees in the health sector of the Municipal Government of Sumé-PB; expose the advantages and challenges related to the management of local public servants; and evaluate how people management influences the performance of employees in the evaluated sector. The study combined bibliographical research and a case study at the Sumé-PB city hall headquarters, involving 4 respondents from the Human Resources sector and 298 employees from the health sector. Diversity was observed in gender, age group, education and employment of employees, despite general satisfaction with the positions. However, as a result, it is highlighted that the lack of a remuneration and career plan can impact motivation and retention. Structured HR departments and training offered are positive, but a more comprehensive performance assessment is needed. It is concluded that, regarding the advantages and challenges related to the management of local public servants, it was observed that the majority of civil servants are satisfied with their current positions or functions, but there is a significant gap in the presence of remuneration and career plans.
Plant Based Anti-mycotoxin Nanoagents: A Comprehensive Review from Mechanism to Biocontrol
Authors: Kalpana Kalpana , Akash Akash , Gajender Gajender , Shubham Shubham
Published: February 2025

Mycotoxins, a poisonous secondary metabolite, unpredictably, and unavoidably take place fashionable foods and feeds, chief to adverse physical impacts and enormous financial deficit in the crop production industry. Moreover, mycotoxin adulteration has existed an excellent threat for all health and crop production economy incident general. Many edible material possessions are adulterate by like a thread fungus and the poison created by some of ruling class, journey on a trip or tour from the field to slab marking baseball home. The Food and Agriculture Organisation (FAO) estimates that around 1000 heap tons of edible material exist not working each year by mycotoxigenic like a thread fungus. Different normal methods exist ready for use for the detection of mycotoxins, but their disadvantage associated with responsiveness to stimuli and state of being precise or particular restrict their exhaust to some extent. In this review, before anything else, the type, occurrence, mechanism, form of extraction, depiction, application fashionable edible material safety and toxicity of mycotoxins are simply discussed.
Automated Data Integrity Checks for Financial Software Systems
Authors: Chinmay Mukeshbhai Gangani
Published: February 2025

The integrity and security of the data that is outsourced are often threatened by an untrusted cloud server, despite the fact that cloud storage offers simple data outsourcing options. Designing security techniques that enable users to verify data integrity with reasonable computing and communication overheads is thus of utmost importance. The goal of this study is to create AI Data Quality Co-pilots, which are advanced systems designed to automatically assess and improve data quality in real time. According to AI Data Quality Co-pilots, future concerns like data drift, privacy, and inclusion won't affect the AI model's dependability or impartiality. Additionally, it discusses how co-pilot applications increase real-time base-level decision-making content and decrease erroneous fraud signals, as well as how ethical AI may be achieved by detecting and correcting biases. Businesses may expand and enhance AI with appropriate data management and maintain effective AI models with consistent high-quality data inputs by linking these co-pilots.
Integrating Information and Communication Technology in Teacher Education: Its Role and Impact
Authors: - Binayak Dey , - Sayantani Saha , - Risa Das
Published: February 2025

Continuous professional development to integrate ICTs into teaching and learning is essential as the educational curriculum is evolving every day. Despite many teachers lacking prior training in utilizing digital technologies, it is important to equip them with the necessary knowledge and skills. The Teacher education institutions play a crucial role in integration of ICT competencies. Teachers need technical support to effectively use and maintain technology in their instructional practices. Like other countries Indian educators are also embracing innovative approaches to teach through ICT tools, utilize digital platforms for lesson planning, deliver them in the classroom setup, and assessment. Well-prepared teachers with ICT skills are pivotal for successful technology-based education. The Government of India has consistently promoted policies to encourage technology-driven innovations in education and encourage ICT integration among educators. This research explores the integration of ICT into teacher education programs highlighting the importance of training educators to effectively use technology for better teaching and learning. Synthesizing the literature, empirical studies and the articles, this review inspects pedagogical strategies, challenges, and opportunities associated with ICT integration in teacher education. Additionally, it explores the impact of ICT on teacher preparation, professional development, and classroom practices. For the purpose of the study, the data was collected from various journals, internet, books, records, etc. This article aims to help the policymakers, teachers, and researchers to create good plans for integrating technology into teacher training. This way, we can make sure that teachers are well-prepared to meet the demands of modern classrooms.
VisionFlowX: The Future of Traffic Intelligence
Authors: - Sourish Dey , - Lubdhak Nairith Saha Arnish , - Sparsh Bajoria , - Pamela Dey Sarkar , - KOUSHIK PAUL , - Shreyanshu Ranjan
Published: February 2025

This document details the design and implementation of a novel smart urban traffic management system, synergistically integrating the capabilities of the Internet of Things (IoT) and computer vision. Addressing the multifaceted challenges of modern urban traffic, including congestion, safety concerns, and regulatory adherence, the system employs a hybrid edge-cloud architecture. A distributed network of intelligent IoT devices, encompassing smart cameras equipped with on-device AI processing, LIDAR, radar, and environmental sensors, captures real-time traffic data. Edge computing nodes, strategically deployed at intersections, perform localizeddata analysis, enabling immediate responses such as adaptive traffic signal adjustments and prioritized emergency vehicle movement. Simultaneously, the cloud platform aggregates data from all edge nodes, facilitating comprehensive traffic pattern analysis, predictive modeling, and system-wide optimization strategies. Advanced computer vision algorithms, including YOLOv8-based object detection, lane tracking, and pedestrian activity recognition, provide critical insights into traffic dynamics and potential infractions. Machine learning models, trained on both real- time and historical traffic data, empower the system to dynamically adapt signal

timings and forecast congestion hotspots. Integration with existing traffic infrastructure and a user-friendly mobile application for real-time traffic information dissemination are also key features. This document explores the system's architecture, the interplay of hardware and software components, communication protocols, the development lifecycle, and the mitigation of critical challenges like scalability, security, and latency.
Linguistic Features of Compound Word Expressions on Facebook: A Discourse Analysis
Authors: - CLARICE M. CABRERA , - IRISH BERNADETH W. ALBAÑO , - MARJORIE M. CABRERA , - DANNA S. LUBIANO
Published: February 2025

This study investigates the linguistic classifications and functions of compound word expressions in college students' Facebook posts. The analysis is based on two tables: Table 1.1 presents the classification of compound words, while Table 2.1 examines the linguistic functions of these expressions. The study addresses the limitations of existing classifications, particularly the narrow scope of Katamba's system, which only includes compound nouns, verbs, and adjectives. To expand the classification system, the study suggests incorporating verb-adverb and adverb-adjective compound words. The findings reveal that compound nouns are the most prevalent type, comprising 56.9% of the compound words identified in the Facebook posts. The linguistic functions of compound word expressions are diverse, with "representational" being the most common (23.5%), followed by "personal" (17.6%) and "interactive" (15.7%). However, the study highlights the significance of including verb-adverb and adverb-adjective compounds due to their distinct linguistic features and semantic nuances. This research enhances our understanding of the linguistic structures and functions of compound words in college students' Facebook posts. It emphasizes the importance of effective communication in online contexts and underscores the necessity for students to grasp language functions to convey their messages accurately.
The Emotional Landscape of Language: Exploring English and Turkish Sentiment with LSTMs and Diverse ML Architectures
Authors: - Shreya Alajangi
Published: February 2025

Emotion detection from text has gained significant attention in recent years due to its potential applications in various fields, such as customer sentiment analysis, mental health monitoring, and human-computer interaction. This report explores the development and evaluation of emotion detection models for both English and Turkish languages
An Assessment of Criminal Investigation Competencies in Caloocan City Police Station: Basis for an Innovative Professional Development Plan
Authors: - Nelson C. Dizon , - Donald B. Narra
Published: February 2025

The study assessed the level of criminal investigation competencies in the Caloocan City Police Station to develop an innovative professional development plan. The study is a quantitative approach to research measuring the level of criminal investigation competencies, the degree of seriousness of the challenges encountered, and the necessity of the suggestions offered to enhance the criminal investigation competencies of police personnel. The respondents of the study were the PNP personnel assigned to the investigation, first responders and force multipliers. The assessment revealed that the police personnel demonstrated high competency in areas such as the proper preparation of investigative reports and observing the chain of custody. However, there were areas for improvement, including the need to strengthen control over crime scenes, enhance investigation strategies, and improve the taking of sworn statements. The assessment also highlighted the challenges encountered by police investigators, including the reluctance of witnesses to provide information and the inadequate budget and resources hindering thorough investigations. Furthermore, the study emphasized the necessity of training, the incorporation of the latest techniques and technologies, and continuous learning and development in legal knowledge, oral and written communication skills, and critical thinking. Based on these findings, the study proposed tailored training programs, comprehensive strategies to address investigative challenges, and ongoing professional development to enhance the competencies of police personnel at Caloocan City Police Station. The recommendations aim to address the identified competency gaps, challenges, and areas for improvement, ultimately contributing to the enhancement of criminal investigation competencies within the Caloocan City Police Station.
Physics Informed Neural Networks for Dynamic Load Reconstruction for Plant Piping
Authors: - Subrata Saha
Published: February 2025

This study aims to offer a method for calculating the dynamic loads on a vibrating pipework in a process plant based on the Theory of Inverse Problems (IP) and physics-informed neural networks (PINN). Vibrating pipes present a significant risk of fatigue failure, which can potentially cause catastrophic damage. However, the lack of quantitative information on applied loads precludes the conventional design of the system. Mathematically, the governing partial differential equation (PDE) is ill-posed. In this scenario, a data-driven strategy based on neural networks was studied in an inverse theoretical framework was studied. Deep Neural Networks (DNNs) were used to model the forcing function, and the PDE was solved in the time domain for the displacement response. The target data were the displacement readings of the in-situ vibration. This problem is reduced to an optimization problem that minimizes the errors. Two cases, one with single loading and the other with dual loading, were presented to validate the theory. These results clearly demonstrate the effectiveness of the proposed method. The widespread use of artificial intelligence (AI) and machine learning (ML) in multidisciplinary engineering domains is the main motivating factor. This study is significant from the perspective of monitoring industrial equipment conditions.
Role of Agni Karma by Haridra in management of Yakrit Vikara - A Case Study
Authors: - Sayali Shinde- Kitey , - Reshma Shinde- Gade , - Rupali Shinde- Ichke
Published: February 2025

Background: In Ayurveda, Yakrit Vikara means group of various liver disorders. Here Yakrit means
Liver and Vikara refers to disorder or diseased condition. When function of this organ is disturbed it indirectly leads to various Gastro-Intestinal disturbances. Aaharaja And Viharaja Hetus cause vitiation in Doshas which takes sthanasranshaya at Yakrit presented through various symptoms. Case Report: In
this present study an Indian Male Patient aged 38 years came with complaint of Anna nirgalana Kashtata (Dysphagia) and Udara Shoola (Pain in Abdomen) since 4 days with raised values of SGOT, SGPT and
Direct Bilirubin.
Women's Participation in Sri Lanka's Blue Economy: An Exploration of the Influence of Socio-economic Factors
Authors: - Premarathne, W. , - Kumari, K.R.T.H. , - Weerasinghe, N.A.K. , - Thewarapperuma, R.N.
Published: February 2025

The purpose of this paper was to examine the effect of socio-economic factors on women’s engagement in the blue economy of Sri Lanka, an important sector with low female representation and limited empirical studies. Women in the coastal areas of Sri Lanka have important functions in different economic activities within the blue economy, however, women are not fully included and economically empowered because of several barriers existing in the sector. Some of these barriers are low levels of participation in decision-making, limited access to markets and resources, and cultural factors. In that regard, the study seeks to address the existing knowledge gaps in these barriers and opportunities to establish a basis for the development of specific interventions and policies that can help support gender equality and women’s economic involvement in Sri Lanka’s blue economy. On the above background, this research seeks to establish the relationship between the following independent variables: Education Level, Income and Economic Resources, Legal and Policy Environment, Family and Social Support, and the dependent variable Women’s Involvement in the Blue Economy. The results show that all four independent variables are statistically significant in explaining women’s engagement in the blue economy, with Education Level and Family and Social Support having the highest effect. The required knowledge and skills to undertake maritime business are offered by education and the strong family and social networks provide women the support they require to be part of the blue economy. Further, Income and Economic Resources and the Legal and Policy Environment have a positive impact on women’s participation in the blue economy to a certain extent. Based on the above findings, it can be concluded that the improvement of education, economic capital, social capital, and legal capital can significantly increase women’s participation in the blue economy in Sri Lanka. The findings of the research can therefore be useful to policymakers and other stakeholders to propose interventions that are required to address gender discrimination in the marine sector and promote the economic growth of Sri Lanka. Several policies were recommended by the paper including increasing women’s literacy, financially supporting women for maritime activities, encouraging women’s role in the community, and ensuring the rights of women in the blue economy. Therefore, by paying attention to the above-proposed areas, the blue economy of Sri Lanka can be converted into a more inclusive by expanding the contribution of the women.
A Study on Gender Inequality in the Workplace with Special Reference to Jhansi
Authors: - Atul Goyal , - Shilpi verma
Published: February 2025

As we know gender inequality considered as the social phenomenon, in which people are treated differently or we say unequally just because of their gender. In modern era as well, we cannot deny the fact that, gender inequality is still prevailing in our society. If we look our surrounding, gender inequality can be seen at the workplace too, kind of significant issue that persists in many industries and organizations. Gender inequality can be manifest in various forms, such as the gender wage gap, lack of representation in leadership positions, and the impact of gender stereotypes. The present paper is an attempt to analyze the gender inequality at the workplace. The analysis is based on the primary data, for which well-structured questionnaire has been prepared and responses collected from 200 respondents working in public as well as private sector at Jhansi. The study reveals that such kind of gender inequalities, which is related to the employment, are moderately seen at the workplace. The male-female income ratio of 49.25% indicates the significant gender income gap, with women earning less than half of what men earn, which seems quite alarming.
Chemical Water Pollutants in Ganga Water at Digha Ghat in Patna
Authors: - SANTOSH KUMAR
Published: February 2025

I. Abstract
This research investigates the presence and concentration of chemical water pollutants in the Ganga River at Digha Ghat in Patna, addressing the critical issue of water quality deterioration and its potential impacts on public health and local ecosystems. Through systematic water sampling and analysis, this study quantified levels of heavy metals, nutrients, and organic compounds, revealing significant concentrations of pollutants that exceed permissible limits established by health authorities. Notably, elevated levels of arsenic, lead, and nitrates were detected, which pose substantial risks to human health, including chronic diseases and developmental disorders. The findings underscore the urgent need for effective water management strategies to mitigate pollution and safeguard public health, particularly for communities relying on the Ganga for drinking and agricultural purposes. Furthermore, this research contributes to the broader understanding of environmental health by highlighting the interconnections between water quality, ecological health, and community well-being. The implications extend to policy-making and health care interventions, fostering a proactive approach to water pollution control that emphasizes community awareness and sustainable practices. Ultimately, the study serves as a critical call to action for both local authorities and communities, aiming to enhance the health outcomes and ecological integrity of the Ganga River system.
The Psychological Impact of Fake Reviews: How Consumers Perceive and React to Deceptive Feedback
Authors: - SHALINI R C
Published: February 2025

This study explores the psychological impact of fake reviews on consumer trust, decision-making, and emotional responses in e-commerce. As online reviews play a crucial role in shaping purchasing behavior, the rise of deceptive feedback has led to concerns about misinformation and market distortion. Through quantitative analysis using an online survey, this research examines how consumers perceive and react to fake reviews, highlighting their influence on shopping behavior and platform credibility. The findings emphasize the need for advanced detection systems, consumer awareness initiatives, and stricter regulations to maintain transparency and trust in digital marketplaces.
Kepemimpinan Perempuan dalam Human Service Organization (Studi di SBMI Wonosobo)
Authors: Azzhara Ni Made Ray Rika
Published: February 2025

Tujuan dari penelitian ini adalah untuk mengetahui kepemimpinan perempuan dalam organisasi buruh migran di Serikat Buruh Migran Indonesia (SBMI) Wonosobo. Jenis penelitian yang digunakan adalah penelitian kualitatif dengan metode observasi dan wawancara. Teori yang digunakan adalah teori kritis dalam studi organisasi yang berfokus pada kesetaraan gender dalam organisasi. Hasil penelitian menunjukkan bahwa pemimpin perempuan mampu mengembangkan Human Service Organization (HSO) dengan strategi kepemimpinan perempuan yang digunakan, yaitu servant leadership. Gaya kepemimpinan ini mengutamakan kepentingan dan aspirasi bersama dari orang-orang yang dipimpin serta orientasi untuk melayani. Beberapa karakteristik dari gaya kepemimpinan ini antara lain adalah cinta, pemberdayaan, visi, kerendahan hati, dan kepercayaan. Strategi ini dinilai efektif karena dapat mengembangkan organisasi dan mewujudkan kesetaraan gender.
Developments in the Defense Industry With the Impact of Machine Learning and Artificial Intelligence
Authors: Nalbant Kemal Gokhan , Tokaci Tuba
Published: February 2025

The defense industry has been one of the most popular topics in recent years. One of the most basic principles of the social state approach is to ensure the integrity of the state and to take the necessary security measures for the country. One of the main issues that cannot be ignored for states to live in peace and security is undoubtedly the power of the defense industry. States develop defense mechanisms against certain dangers by expanding their defense techniques. Therefore, with the development of technology, machine learning and artificial intelligence are among the most frequently encountered topics at this point. In this study, after a general overview of the defense industry sector, the defense industry in the world and defense exports in the world will be touched upon, and the connections of the defense industry with the fields of machine learning and artificial intelligence will be examined comprehensively.
Processing of engineering and geological survey data for determining parameters of the hardening soil model on the example of clay soils in the Nizhny Novgorod region
Authors: Maleeva A. N. , Kharichkin A. I.
Published: February 2025

Introduction. The paper examines the key aspects of obtaining parameters for the hardening soil model used in the analysis of soil bases. This model is increasingly popular due to its effectiveness in calculating various structures, such as pile foundations, retaining walls, and anchorages.

Aim. To analyze the experience of obtaining parameters for the hardening soil model based on laboratory data derived from engineering and geological surveys.

Materials and methods. The methodology involved analyzing and processing the results of laboratory studies on soils in the Nizhny Novgorod region. The laboratory tests were performed as part of engineering surveys. The parameters were optimized and the model was calibrated for the obtained parameters of the hardening soil model using the Plaxis software suite, specifically within the Soil Test module.

Results. A set of design parameters was obtained for the hardening soil model. A comparison between laboratory results and numerical modeling outcomes was performed to confirm the accuracy and reliability of these parameters. This stage of the study demonstrated that the optimized and calibrated parameters of the hardening soil model provide a high degree of consistency between laboratory data and numerical calculations.

Conclusions. Currently, no universally accepted methodology exists for processing the results of laboratory tests and statistical analysis. Overall, the analysis of results and parameter selection for implementing the calculation model remains at an expert level and is not regulated by normative documents. Further research in this area will enable the development of more effective methods and approaches, contributing to advancements in both science and practice in geotechnical engineering.