bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-Time Detection of Broken Rotor Bar Faults in Three-Phase Induction Motors Using ResNet-50 and Siemens S7-315 PLC
Authors: Bahgat B. Hafez , Elhay Enas A. , Elkholy Mahmoud M. 
Published: January 2025

Abstract

This paper presents a novel approach for real-time detection of broken rotor bar (BRB) faults in three-phase induction motors, leveraging the deep learning capabilities of ResNet-50 and the industrial robustness of Siemens S7-315 PLCs. Traditional diagnostic methods, such as Motor Current Signature Analysis (MCSA) and time-frequency analysis, often falter in dynamic environments due to noise, fluctuating loads, and complex fault scenarios. To address these limitations, the proposed framework integrates advanced machine learning with real-time industrial automation. The methodology involves the transformation of motor signals into time-frequency representations, followed by feature extraction and fault classification using ResNet-50. The trained model is optimized and deployed on a Siemens S7-315 PLC, enabling real-time diagnostics with minimal latency. Experimental results demonstrate classification accuracies exceeding 95% across various fault scenarios, with a detection latency of approximately 150 ms, significantly outperforming traditional methods. This study also identifies challenges such as computational constraints, noise sensitivity, and dataset limitations, offering solutions through adaptive algorithms, lightweight neural network architectures, and IoT-enabled edge computing. Future directions emphasize scalability, enhanced robustness, and integration with predictive maintenance systems. By combining cutting-edge machine learning techniques with industrial-grade hardware, this research provides a scalable, efficient, and reliable solution for real-time fault detection in induction motors, paving the way for intelligent and resilient industrial diagnostics.
CdS-based Intermediate Band Solar Cells (IBSC): A Numerical Investigation Using SCAPS-1D
Authors: Sapeli Megat Mohd Izhar , Rahman Kazi Sajedur , Rafiq Md Khan Sobayel , Zulkepli Nurkhaizan , Yusoff Mohd Zaki Mohd , Hossain Mohammad Istiaque , Aissa Brahim , Chelvanathan Puvaneswaran 
Published: January 2025

Abstract

Intermediate band solar cells (IBSC) have drawn significant attention recently due to their potential to surpass the Shockley-Queisser efficiency limit. Herein, we investigate the suitability of a CdS film as the p+/IB/n+ layers within the IBSC structure using numerical solutions. Initial benchmarking with the theoretically reported device in the literature is performed by incorporating optimal, non-overlapping sub-bandgap absorption using a custom ASCII file. It is observed that the simulated device can effectively harness energy from low-energy red light to high-energy violet light by employing three optical transitions. The results confirm that a thickness of 1 µm and a donor concentration of 1014 cm-3 are optimal for the absorber to reach the upper limit efficiency of 46%, with both the p+ and n+ layers being 0.1 µm thick with an acceptor/donor density of 1018 cm-3, respectively. The field near the junction is shown to amplify, and the depletion width is widest at 0.97 µm, approximating the thickness of the absorber at this donor level. Additionally, inadequate impurity-host atom substitution could lead to the formation of discrete levels, which are detrimental at high defect concentrations. A defect concentration of 1018 cm-3 counteracts the contribution from generation, thus detrimentally depreciating the overall efficiency.
Exploring banking competition in Croatia by using the Panzar-Rosse model
Authors: Busatlic, et. al. Senad 
Published: January 2025

The performance commercial banks in the Croatia have been widely studied, but there is little known about the examination of the nature of competition. For these reasons, it is important to investigate whether the banking sector in Croatia exerts monopoly or monopolistic behavior. This research empirically explores the nature of competition in the Croatian banking sector by covering 24 commercial banks between 2008 and 2018. In this vein, the panel data analysis was used along with H-Statistics. This study for Croatia and its findings confirms early findings of the existence of monopolistic competition in the most transition and developing countries. In fact, the findings obtained from this study reveals that the commercial banks in Croatia operate under monopolistic structure. Moreover, the results reveal that variable of RIETD, RLTA, RETA, and RDTA are statically significant. It indicates that banks operated in Croatia are focus more on traditional loans than other activities.
REGIMES OF REMITTANCE DEPENDENCY: GLOBAL STRUCTURES AND TRAJECTORIES OF THE FORMER SOVIET “BLOC”
Authors: Böröcz József 
Published: January 2025

The re-integration of the societies of the erstwhile state socialist bloc into global flows of capitalism is emerging as a major issue in the sociology of labour migration. Changes in the magnitudes of migrant remittances can be of crucial social and political importance. In this study, I link a conceptual contribution with a three-step empirical inquiry. First, I conceptualize migrant remittances as a form of external economic dependency. Next, I describe recent changes in the strength of the empirical relationship between migrant remittances as percentages of the GDP and per capita GDP for all societies of the world utilizing data from two online data sets. Employing what Charles Tilly (1984) called “variation-finding comparison,” I examine, next, the – as it turns out, quite sizeable – residual variation in the relative magnitude of remittances that remains after controlling for per capita GDP, and interpret it as a marker for patterns of remittance dependency. Finally, I trace the recent trajectories of the societies that had, until one generation ago, constituted the Soviet “bloc” against the backdrop of the global distribution in remittance dependency.
Исследования несимволического чувства числа с помощью айтрекинга: систематический обзор
Authors: Миронец Софья А. , Котюсов Александр И. , Косаченко Александра И. , Денисова Илона В. , Кузьмина Юлия В. 
Published: January 2025

Introduction. The processing of quantitative information is one of the basic processes that ensures successful interaction with the environment. In one form or another, this ability is found in a large number of biological species. In humans, the specifics of processing quantitative information in different formats are analysed in experimental and correlational studies using various methods and approaches, including eye tracking. Eye tracking makes it possible to follow the mechanisms of the formation of the mental representation of quantity and to evaluate the connection of the non-symbolic "sense of number" with the systems of representation of other visual parameters, such as the size of objects.
Methods. This paper presents a systematic review of eye tracking studies of non-symbolic numerosity estimation published from 2008 to 2023. A search of Scopus, Web of Science and PubMed databases identified 13 studies.
Results and Discussion. The research questions, the characteristics of the tasks and stimulus materials used, the characteristics of the sample and the results obtained have been systematised. This review highlights the mechanisms of operation of the numerosity representation system and the characteristics of conducting eye-tracking studies to investigate them.
Association Between Metabolomics Findings and Brain Hypometabolism in Mild Alzheimer’s Disease#
Authors: Mir Moein , Khosravani Parinaz , Ramezannezhad Elham , Saadabad Fatemeh Pourali , Falahati Marjan , Ghanbarian Mahsa , Saberian Parsa , Sadeghi Mohammad , Niknam Nafise , Ghejelou Sanaz Eskandari , Jafari Masoumeh , Gulisashvili David , Mayeli Mahsa 
Published: January 2025

Background:
Alzheimer's disease (AD) is a progressive neurodegenerative condition
with rising prevalence due to the aging global population. Existing methods for diagnosing AD
are struggling to detect the condition in its earliest and most treatable stages. One early indicator
of AD is a substantial decrease in the brain’s glucose metabolism. Metabolomics can detect
metabolic disturbances in biofluids, which may be advantageous for early detection of some ADrelated
changes. The study aims to predict brain hypometabolism in Alzheimer's disease using
metabolomics findings and develop a predictive model based on metabolomic data.

Methods:
The data used in this study were acquired from the Alzheimer’s Disease Neuroimaging
Initiative (ADNI) project. We conducted a longitudinal cohort study with three assessment time
points to investigate the predictive ability of baseline metabolomic data for modeling longitudinal
fluorodeoxyglucose-positron emission tomography (FDG-PET) trajectory changes in AD patients.
A total number of 44 participants with AD were included. The cognitive abilities of participants
were evaluated using the Alzheimer's Disease Assessment Scale (ADAS) and the Mini-Mental
State Examination (MMSE), while the overall severity of dementia was measured by the Clinical
Dementia Rating-Sum of Boxes (CDR-SB). We employed the ADNI’s FDG MetaROIs (Meta Regions
of Interest) dataset to identify AD-associated hypometabolism in the brain. These MetaROIs
were selected based on areas frequently mentioned in FDG-PET studies of AD and MCI subjects.

Results:
Across models, we observed consistent positive relationships between specific cholesterol
esters - CE (20:3) (p = 0.005) and CE (18:3) (p = 0.0039) - and FDG-PET metrics, indicating
these baseline metabolites may be valuable indicators of future PET score changes. Selected triglycerides
like DG-O (16:0-20:4) also showed time-specific positive associations (p = 0.017).

Conclusion:
This research provides new insights into the disruptions in the metabolic network
linked to AD pathology. These findings could pave the way for identifying novel biomarkers and
potential treatment targets for AD.
A Reinforcement Learning Inspired Approach for Efficient Cognitive Radio Network Routing
Authors: Tomar Parul , Joon Ranjita , Kumar Gyanendra , P Karthik 
Published: January 2025

Introduction:
One fundamental characteristic of Cognitive Radio Networks
(CRNs) is their dynamic operating environment, where network conditions, such as the activities
of Primary Users (PUs), undergo continuous changes over time. While Secondary Users
(SUs) are engaged in communication, if a PU reappears on an SU's channel, the SU is required
to vacate the channel and switch to another available channel. Thus, finding a stable route that
minimizes frequent channel switches is a challenging task in CRNs.

Method:
Existing solutions to reduce PU interference often overlook the energy consumption
of nodes when forming clusters, focusing solely on the minimum number of common channels
in a cluster. Consequently, these schemes suffer from frequent channel switches due to PU appearances.
The proposed Cognitive Radio Network Routing (CRNR) approach aims to minimize
frequent channel switches by employing a Reinforcement Learning (RL) technique called
Q-Learning to select stable routes with channels exhibiting higher OFF-state probabilities.

Result:
This strategy ensures that selected routes avoid rerouting by prioritizing channels with
higher off-state probabilities. Experimental studies demonstrate that the CRNR approach enhances
network throughput and reduces interference when compared with existing techniques.
CRNR introduces a novel application of AI, use of Q-Learning, a reinforcement learning technique
in wireless networks.

Conclusion:
This bridges the gap between machine learning and network design, showcasing
how intelligent algorithms can optimize communication decisions in real-time, which could inspire
further exploration of AI-driven techniques in network management and beyond.

conclusion:
The CRNR approach, through the use of Q-Learning and channel selection based on OFF-state probabilities, provides a more stable routing solution in CRNs. It enhances network performance by reducing rerouting and interference while addressing energy consumption concerns during cluster formation.
Pleitos, acuerdos y bifurcaciones identitarias en las tierras de Santa Ana de Guamal, Colombia
Authors: Lara Largo Sofía 
Published: January 2025

Este artículo se centra en un conflicto por la transferencia de los derechos de propiedad de tierras, originado en una disputa familiar por linderos entre vecinos a partir de 2015. La finca objeto de la discordia está ubicada en tierras de resguardo y dentro de un área perteneciente a Santa Ana de Guamal desde el periodo colonial, también hace parte de unas tierras «incoradas». Esto nos obliga a reconocer las circunstancias históricas particulares en las que desde hace ya más de dos siglos se dibujan fronteras utilizando los lápices de las identidades étnicas. A partir de un análisis de documentos y trabajo de campo, exploramos cómo las identidades étnicas se han utilizado para justificar derechos sobre la tierra y cómo este conflicto ha escalado más allá del ámbito familiar, involucrando a las autoridades locales y a organizaciones políticas y étnicas. Los hechos analizados reflejan la complejidad de las dinámicas identitarias en contextos de disputa territorial.

[1] Este texto se basa en fuentes documentales y etnográficas obtenidas durante varios viajes de campo entre 2015 y 2019. Todos estos viajes tuvieron lugar en el marco de mis investigaciones doctorales en antropología y sociología, cursadas en la Universidad Paris Cité, y presentadas en sustentación pública en junio del 2019. La tesis se tituló: “Imbricaciones identitarias. Los usos étnicos del territorio en Guamal, Caldas Colombia” (Lara Largo, 2019) y se elaboró bajo la dirección de Odile Hoffmann, con un financiamiento otorgado por COLCIENCIAS a través de las becas de doctorados en el exterior.
Contemplating the Bibliometric Data Onto Sepsis and Gut Microbiome: Mapping Trends, Collaborations, and Global Contributions
Authors: Zhang Li , Wang Yi , Li Ping , Li Xiang , Yu Xiangyou 
Published: January 2025

Abstract
Sepsis is a leading cause of hospital mortality, closely linked to gut dysfunction and dysbiosis. The gut microbiome’s role in sepsis pathogenesis and progression necessitates a comprehensive bibliometric analysis to elucidate current research trends. Utilizing the Science Citation Index Expanded (SCI-E) database, literature was systematically retrieved using the terms: sepsis AND (“gut” OR “gastrointestinal”) AND (“microbiome” OR “microbiota” OR “microflora” OR “bacillus”). After data refinement and duplicate removal, 2485 articles were included for statistical analysis using R software’s bibliometric package, with Excel used to visualize publication trends. Findings demonstrate a progressive annual increase in published studies and citations. The United States and France emerged as primary contributors, exhibiting extensive international collaboration. Among leading institutions, the University of California ranked highest in research output, while Wiersinga WJ from the University of Amsterdam led in publication volume and collaborative networks. Research predominantly focuses on critical care medicine, immunology, and microbiology, with keywords such as sepsis, microbiome, microbiota, and microflora recurring. Current trends indicate a growing focus on the relationship between sepsis and gut microbiome dynamics, with a notable gap in evidence-based clinical applications. The prominence of the United States in the field underscores the need for welldesigned clinical trials and prospective cohort studies to advance therapeutic strategies. Strengthening global collaboration, particularly through increased involvement of Chinese researchers, is crucial for a comprehensive understanding and future advancements in this complex and evolving field.
Polyurethanes as Biomaterials in Medicine: Advanced Applications, Infection Challenges, and Innovative Surface Modification Methods
Authors: Drożdż Kamil , Gołda-Cępa Monika , Brzychczy-Włoch Monika 
Published: January 2025

Abstract
Polyurethanes (PUs) are exceptionally versatile polymers widely utilized in medicine due to their outstanding mechanical properties, biocompatibility, and adaptability to various applications. This article explores advanced applications of polyurethane biomaterials in medicine, the challenges posed by infections associated with their use, and innovative surface modification techniques to improve their functionality. PUs are employed in a diverse array of medical devices, including non-implantable applications such as wound dressings, catheters, and infusion sets; short-term implants like bone stabilizers and tracheostomy tubes; and long-term implants such as tissue regeneration scaffolds, artificial blood vessels, and heart valves. Despite their many advantages, their use carries a significant risk of infections, including ventilator-associated pneumonia, infective endocarditis, and urinary tract infections. An important challenge lies in bacterial biofilms, which complicate treatment and enhance bacterial resistance to antibiotics. To address these issues, innovative PU surface modification methods are being developed, including laser texturing, nanoparticle deposition with antibacterial properties, ion implantation, cold metal spraying, the integration of biodegradable and biocompatible components, and plasma modifications. These advanced techniques aim to enhance polyurethane biomaterials’ antibacterial properties and biocompatibility, thereby reducing infection risks and improving clinical outcomes. This article underscores the importance of ongoing research to effectively combat biomaterial-associated infections and broaden the medical applications of polyurethanes. The development of advanced surface modification methods holds great promise for improving patient quality of life and the efficacy of medical treatments.
Fortaleza Cidade do Design pela UNESCO
Authors: Medeiros Manuela Fátima Paula de 
Published: January 2025

Fortaleza tem a chancela “Cidade Criativa do Design” pela Unesco, desde 2019, que é um reconhecimento da criatividade como fator estratégico para o desenvolvimento sustentável (MENEZES et al., 2023). No entanto, ainda prevalece na cidade a fabricação de produtos massificados, que seguem uma lógica de produção linear, levantando as problemáticas da poluição, degradação ambiental e ameaça às identidades locais. Este artigo descreve a condução de duas iniciativas desenvolvidas no curso Design de Moda da Universidade Federal do Ceará (UFC), durante o ano de 2023, com o objetivo de disseminar a sustentabilidade e entender de que forma o design pode intervir e ter um papel de mudança nos paradigmas de produção e consumo. A sala de aula a partir da prática crítica e decolonial é potente na formação de designers engajados na ética e cidadania, com desdobramentos práticos e mercadológicos promissores.
As Pressões Antropogênicas e suas Manifestações Geoecológicas na Amazônia Oriental, Maranhão, Brasil
Authors: Costa Allana Pereira , Dias Luiz Jorge Bezerra da Silva , Santos Luiz Carlos Araújo dos 
Published: January 2025

O Bioma Amazônico do Maranhão compreende 3,4% de toda a Amazônia brasileira e faz parte da porção Leste do Centro de Endemismo Belém. Nele há paisagens marcadas pela biodiversidade dos mais diversos ecossistemas e construções socioculturais, remodelados nas últimas seis décadas por intensificação das atividades humanas e demandas de mercado por recursos naturais. Tem-se por objetivo realizar a caracterização dos processos de uso da terra e pressões antropogênicas na Amazônia maranhense associado ao ano de 2020 e indicação das áreas de maior criticidade de ruptura das relações ambientais. A metodologia pautou-se em levantamento bibliográfico, produção cartográfica em ambientes SIG e trabalhos de campo. Constatou-se que o território possui 25% de remanescentes vegetais naturais. Os 75 % restantes se distribuem em usos consolidados, os quais, desde o processo de construção do território, acompanhados por incentivos estatais ou por demanda de territórios pela população, têm instituído as seis zonas de pressão de uso da terra. São necessários esforços conjuntos de ordenamento territorial, conservação da biodiversidade e indicação de áreas aptas ao desenvolvimento de atividades produtivas regionais, assim como a configuração de mosaico para conectividade das paisagens naturais remanescentes como uma estratégia sólida para a manutenção deste território.
Clustering and Network Analysis of Mobility Patterns as an Analysis Tool for Lean Project
Authors: Rácz-Szabó András , Ruppert Tamás , Abonyi János 
Published: January 2025

The study aims to optimize internal logistics processes by applying Lean philosophy and data science tools, with a primary focus on qualifying processes to determine their value-added contribution within the logistics context. Utilizing a novel two-step methodology, the research first employs a modified DBSCAN algorithm to analyze indoor positioning data and categorize activities. This is followed by multi-layer network modeling to understand processes and create a framework that enables the reduction of idle activities through optimization algorithms. A real warehouse case study, using a UWB-based Indoor Positioning System (IPS) to track forklifts, demonstrates the method's effectiveness in identifying non-value-added activities. The results reveal specific opportunities for reducing idle, enhancing resource utilization, and improving operational efficiency. This innovative combination of advanced data analysis techniques and Lean principles provides a comprehensive framework for logistics optimization, significantly enhancing process efficiency through optimized task scheduling and resource allocation. Doi: 10.28991/ESJ-2025-09-01-013 Full Text: PDF
Factores, dimensiones y variables determinantes en la calidad del espacio público abierto.
Authors: MEJIA GOMEZ GABRIELA , Naranjo Serrano Gabriela , Benavides Alvarez Javier 
Published: January 2025

Varios estudios han demostrado que la buena calidad de los espacios públicos abiertos (EPA) es fundamental para garantizar su uso, el aumento de frecuencia de visitas e influir de manera positiva en la percepción de los usuarios. Por ello, resulta preocupante que cada vez se preste más interés a los índices que permiten cuantificar los metros cuadrados de este bien ciudadano, dejando de lado las condiciones que permiten medir si estos metros son eficientes para su uso correcto. En este artículo buscamos aportar, desde la revisión de literatura científica, a la sistematización de información relacionada a los factores, dimensiones y variables que determinan la calidad de los EPA, contenida en los artículos publicados en bases de datos desde el año 2009 al 2020. Los resultados evidencian que la dimensión de características físicas es la más recurrente en los estudios, mientras que las variables relacionadas a la inclusión son las menos evaluadas. Los estudios de calidad pueden utilizar instrumentos de evaluación cuantitativa, cualitativa o mixtos. Se evidencia, además, que existen pocos estudios sobre este tema a nivel latinoamericano y que la mayoría se han realizado en países asiáticos y europeos.