bluuebunny/crossref_metadata_2025_split huggingface dataset:
Approaches to Calculating Urban Project Boundaries (Agglomeration) in Shymkent City, Kazakhstan
Authors: Barakbayev Arslan , Mamedov Seimur , Baidrakhmanova Meruert , Bulyga Leonid , Feoktistova Yelena , Manzina Yulia 
Published: December 2024

Introduction. A thorough evaluation of the calculations used to determine the boundaries of urban planning projects enables a comprehensive understanding of the socio-economic, cultural, and labor connections between cities and settlements. The significance of developing agglomerations in resource-limited environments lies in their potential to achieve a synergistic effect, where the whole exceeds the sum of its parts. Objectives. The research aims to identify the functional boundaries of the Shymkent agglomeration. Materials and Methods. The boundaries of the Shymkent agglomeration were determined using a methodological approach that integrates the agglomeration development coefficient, Reilly's gravitational theory, and GIS technologies. Results and Discussion. Potential countermagnet cities were identified by employing GIS technologies to calculate the force of demographic gravity from proximate settlements to the city of Shymkent. These cities serve as centers of attraction that intercept migration flows towards Shymkent, thus assisting in mitigating excess population growth in the city. Conclusions. The strategic development of suburban settlements and key nodes within the Shymkent agglomeration can effectively manage urban growth challenges, promoting a balanced and sustainable development pattern. it is necessary to prevent the spontaneous growth of settlements caused by population growth, which leads to the formation of imbalances in comprehensive service systems and provides workplaces that can provoke social tensions.
Prejuízos na saúde mental e nos papéis ocupacionais de universitários durante a pandemia
Authors: Silva Nilson Rogério , Jesus Rafaela Magalhães , Gouvea Izabela Moura Mussinati , Silva Meire Luci 
Published: December 2024

A pandemia de COVID-19 trouxe aos estudantes não só a preocupação com o adoecimento e risco de contaminação e morte, mas alterou repentinamente suas rotinas devido a necessidade da realização das atividades remotas de ensino em suas casas, interferindo assim o desempenho de seus papéis ocupacionais e, consequentemente podendo comprometer a saúde mental destes. Objetivo: Identificar sintomas de ansiedade e depressão em universitários em atividades remotas de ensino e possíveis consequências no desempenho de seus papéis ocupacionais durante a pandemia. Método: Participaram da pesquisa 112 universitários de cursos de saúde e humanas de uma universidade pública do Estado de São Paulo. Foram utilizados quatro instrumentos sendo: Questionário sociodemográfico com aspectos da rotina e vida acadêmica; Lista de Identificação de Papéis Ocupacionais; Questionário sobre saúde do paciente (PHQ 9); Patient Health Questionnaire (PHQ 4). Os dados do questionário sociodemográfico foram analisados por meio de cálculos de estatística descritiva e os dados dos instrumentos conforme protocolo de análise destes. Resultados: Verificou-se que 67,8% dos universitários apresentaram sintomas de depressão e 29,5% de ansiedade. Identificou-se alterações na rotina alimentar, de sono, na prática de atividades físicas, acréscimo das atividades domésticas, alteração nos relacionamentos interpessoais e dificuldades acadêmicas, diminuição dos papéis de estudante, religioso, trabalhador, voluntário e passatempo e aumento de atividades nos papéis de membro da família, serviços domésticos e cuidador. Assim, são necessárias medidas de suporte para os universitários voltadas à reestruturação das suas rotinas, ao resgate das relações e de gestão saudável da vida acadêmica, de seus papéis ocupacionais e à mitigação dos sintomas emocionais.
Representaciones culturales y sociales en una serie paraguaya
Authors: Colorado Colmán Carmen Carolina 
Published: December 2024

La dimensión interactiva del lenguaje permite establecer relaciones sociales que están vinculadas a costumbres y formas de representar el mundo, lo cual da lugar a la cultura. Este artículo presenta los resultados de un estudio centrado en el análisis crítico del discurso como herramienta para develar desigualdades e injusticias presentes en las prácticas discursivas, aplicado a una serie de televisión. El objetivo fue analizar hasta qué punto el análisis crítico del discurso (ACD) puede desentrañar representaciones explícitas e implícitas en las acciones discursivas de una serie paraguaya. Metodológicamente, se basó en los principios del ACD propuestos por Van Dijk, Fairclough, Wodak y los avances en Latinoamérica dentro del paradigma crítico social con un enfoque cualitativo, adoptando niveles de análisis propios. Los resultados destacaron matices relacionados con las representaciones culturales y sociales. Además, se subrayó el valor de las series como nuevos formatos narrativos con múltiples posibilidades de exploración.
Voces de una comunidad educativa
Authors: Duarte Sonia Beatriz 
Published: December 2024

Este estudio de caso cualitativo tuvo el fin de identificar lo que reveló el uso del enfoque dialógico con la comunidad educativa de una institución pública, con relación a la implementación del Programa de Lectura, Escritura y Oralidad ÑE’ÊRY propuesto por el MEC de Paraguay. Se siguió un enfoque dialógico con la comunidad educativa y los instrumentos para recopilar los datos fueron una entrevista en profundidad, una encuesta y un grupo focal de la comunidad escolar.
Los hallazgos destacan las tres estrategias principales para la implementación del Proyecto de Lectura, Escritura y Oralidad: “la urgencia de la capacitación docente”, la “la necesidad de materiales contextualizados” y “el reto de escribir en guaraní.”
ETNOMATEMÁTICA SURDA: UMA ANÁLISE DE REGISTROS SOBRE PRÁTICAS DOCENTES DE MATEMÁTICA
Authors: Alberton Bruna Fagundes Antunes 
Published: December 2024

Neste trabalho, apresento um recorte de minha Tese (Alberton, 2021), na qual tive por objetivo analisar os discursos de professores de Matemática na perspectiva de Etnomatemática Surda. Mostro o conceito “Etnomatemática Surda”, valorizando a construção dos conhecimentos matemáticos em comunidades surdas, articulada à experiência visual e à língua de sinais. Foi desenvolvido o projeto de extensão Educação Matemática para Surdos, realizado em duas edições, com professores de surdos. As análises foram feitas a partir da noção de discurso desenvolvida por Michel Foucault. Foi possível reconhecer a Etnomatemática Surda a partir de narrativas que evidenciam a valorização das questões culturais na produção do conhecimento matemático. Como resultado, apresento excertos das narrativas dos professores, nos quais foi recorrente a fala sobre a importância da experiência visual dos alunos surdos e da língua de sinais na construção do conhecimento matemático.
BAUDELAIRE CRÍTICO DA SOCIEDADE MODERNA: LEITORES.
Authors: DE MENEZES MARCOS 
Published: December 2024

Na poesia de Baudelaire estão presentes as metáforas da morte, da destruição, da degeneração, da putrefação, da caveira. São alegorias mais que apropriadas para mostrar o que ocorria com o corpo da cidade. São fragmentos figurativos mostrados dispersamente, sem forma, mas nunca uma imagem completa ― e isso lhes confere o caráter alegórico. A imagem é fragmento, ruína. É importante ressaltar que essa superação só pode ser realizada na própria prática textual; por isso, os escritores são considerados por Roland Barthes (1987) como aqueles que mais se aproximaram da construção de uma semiótica urbana. Baudelaire se entregou a tudo com muita paixão. Mergulhou nas ruas de Paris em busca de experiências que pudessem ser agregadas ao seu fazer poético: ele amava toda a vida que florescia nos submundos da metrópole. Paradoxal, com uma insólita capacidade de mudar substancialmente de direção, Baudelaire quis viver todas as experiências, mas, ao mesmo tempo, sabia que não se podia perder a disciplina. A cidade em Baudelaire só pôde ganhar forma na fantasia: era o mundo no qual “novos palácios, andaimes, blocos de pedra, antigos subúrbios, para mim se transformam em alegorias”; era um “cenário como a alma do ator”, um cenário cuja virada transformava o ator em sua própria forma.
A RESISTÊNCIA DAS LÍNGUAS MINORITARIAS:
Authors: Sagica Vanessa 
Published: December 2024

Os primeiros pesquisadores que tiveram contato com os indígenas Macuxis os caracterizaram como um povo numeroso, guerreiro e arredio ao ensino de sua língua e a resistência à cultura de seus colonizadores. Tento que se sujeitar a situações de extrema exploração de forma gratuita para poderem permanecer em seu território. Toda essa luta e resistência que o povo Macuxi passou nas terras que, atualmente, se encontra Roraima, estado do extremo norte do Brasil, contribuiu para que ele ainda seja considerado estatisticamente o maior povo indígena desse estado. Nesse sentido, este estudo, primeiramente, apresentará o quantitativo populacional dos Macuxis e as regiões em que eles se encontram tanto no Brasil quanto fora do país, o seu contexto multilíngue a partir de seu tronco linguístico e, a conquista da lei de cooficialização da Língua Macuxi na Região da Serra da Lua pertencente ao Município de Bonfim, tendo quando objetivo propor a ampliação e a aplicação dessa lei em diferentes espaços. A partir da epistemologia do sul global que incorpora o contexto multilíngue como um ato político ao propor uma ecologia dos saberes que inserem o ser na sociedade em sua plenitude.
PRÁXIS INTERCULTURAL ENTRE ALUNOS BRASILEIROS E VENEZUELANOS NO ENSINO MÉDIO DA ESCOLA ESTADUAL ANA LIBÓRIA
Authors: Barreto Pessôa Sandrielle Vitória , da Silva Neto João Paulino 
Published: December 2024

O presente resumo tematiza a práxis intercultural sob a perspectiva decolonial, surge da vinculação com o Programa de Pós-Graduação em Educação (PPGE), da Universidade Federal de Roraima, a partir do qual oportuniza o desdobramento científico para a investigação da seguinte problemática, como se processa a práxis intercultural entre alunos brasileiros e venezuelanos no ensino médio de uma escola estadual da cidade de Boa Vista - RR? Para tanto, os objetivos específicos são, conhecer as interações entre alunos brasileiros e venezuelanos nas aulas de língua espanhola e interpretar as interações linguísticas e socioculturais desses estudantes. Metodologicamente, resulta de uma pesquisa em andamento, de abordagem qualitativa, que é compreendida desde a ótica dos participantes em um ambiente natural e em relação com seu contexto (SAMPIERI, 2014) que abarca a tipologia da pesquisa-ação (BRANDÃO, 2006), associada a pressupostas das pesquisas de abordagem decolonial (GROSFOGUEL, 2022; DUSSEL, 1998). No trabalho serão utilizados como instrumento de pesquisa as observações participantes, a entrevista livre com professores e alunos e o diário de campo. Para analisar os dados será empregada a Análise do Discurso Crítico (ADC) fundamentada nas autoras Eni Orlandi (2010) e Alejandra Reguera (2008). Em termos gerais, espera-se que a pesquisa seja relevante para o desenvolvimento de uma reflexão acerca da realidade vivida no processo de interação de alunos brasileiros e migrantes venezuelanos em contextos sociais de aprendizagem.
Computer-Assisted Simulations Using R and RStudio to Assist in Operations Research and Analysis in the Context of Clinical Laboratory Management
Authors: Ang Mark Angelo , Sotalbo Karen Cybelle 
Published: December 2024

Operations research (OR) is a valuable yet underutilized field in clinical laboratory management, offering practical solutions to optimize workflows, resource allocation, and decision-making. Despite its potential, the adoption of OR methodologies remain limited due to a lack of training and familiarity among pathologists and laboratory professionals. This paper addresses this gap by presenting an accessible introduction and practical guide to analyzing operations research problems in clinical laboratories using computer-assisted simulations in R, implemented within the R Studio environment.

The proposed framework emphasizes simplicity and flexibility, leveraging the extensive capabilities of base R to model and analyze critical OR questions. The paper outlines step-by-step methods for defining problems, constructing simulation models, and interpreting results, ensuring that readers can replicate and adapt these techniques to their unique laboratory contexts.

Key features of the framework include its emphasis on reproducibility, customization, and the integration of data-driven insights into decision-making processes. Case studies and examples drawn from real-world laboratory scenarios illustrate the application of R simulations to address challenges such as minimizing turnaround times, balancing staffing levels, and managing inventory efficiently.

This guide aims to empower laboratory professionals and pathologists with the tools and skills to integrate operations research into their practice, fostering a culture of innovation and efficiency in clinical settings. By bridging the gap between OR theory and practical application, this paper contributes to the broader adoption of computational approaches in laboratory management, ultimately enhancing the quality and sustainability of healthcare services.
Silicone Gel versus Combination of Silicone Gel and a 577-nm Diode Laser in the Treatment of Post-surgery Hypertrophic scar (Comparative Study)
Authors: Mohamed Essam-Elden M. , Abd-Elaleem Hazem Lotfy , Zahran Samar Ali A. 
Published: December 2024

Abstract

Background: Hypertrophic scars, resulting from alterations in the normal processes of cutaneous wound healing, are characterized by proliferation of dermal tissue with excessive deposition of fibroblast-derived extracellular matrix proteins, especially collagen, over long periods, and by persistent inflammation and fibrosis. The present study aim to compare the efficacy of silicone gel versus combination of a 577-nm diode laser and silicone gel in the treatment of post-surgery hypertrophic scar.
Methods: This study is a randomized comparative study In the period from 14 January 2021 up to the end of January 2023. 30 patients with post-surgery hypertrophic scar divided into two groups: A: one half of scar was managed with 577 nm diode laser 3 sessions monthly combined with application of silicone gel at home. A + B: the entire scar was treated with silicone gel within six months who admitted to the Laser unit of the Dermatology and Andrology Department at Al-Azhar University Hospital, Assiut during the study period.
Results: significant improvement in pigmentation, pliability, height and total Vancouver score. By comparing between silicone gel and combination of silicone gel and a 577 nm diode laser, the combination shows significant improving than silicone gel alone. The scar in the lip and breast area showed a significant higher improvement rate with yellow laser plus silicone gel compared to the other site.
Conclusion: combination of silicone gel and yellow laser has significant effect in making surgical scars less distinct
Ulnar Nerve Double Crush by Entrapment of a Peri-cubital tunnel ganglion cyst and Cubital tunnel: a Case report
Authors: Gong Gaoming , Wang Leining , Zhang Jinhao , Huang Zhihui , Wang Yulong , Song Kunpeng 
Published: December 2024

Abstract

Background: Double crush syndrome (DCS) is a relatively rare nerve compression syndrome among peripheral nerve compression diseases. However, ulnar nerve double entrapmentcaused by peri-cubital tunnel ganglion cysts has been rarely reported.
Case presentation: Here, we present a case of a 54-year-old woman who experienced occasionalpain, numbness and paralysis in her right half hand for 1 year. A B-ultrasound of the right elbow initially revealed cubital tunnel syndrome only. Further Magnetic Resonance Imaging (MRI) showed a ganglion cyst near the cubital tunnel. After evaluation, we performed open surgery to excise the cyst and incise the cubital tunnel, completely decompressing the ulnar nerve entrapment. Ulnar nerve anterior transposition was also performed simultaneously.
Conclusions: The patient was followed up for 1 month, and she experienced a complete recovery with no functional limitations.
WITHDRAWN: Object Detection: A comprehensive study of famous Deep Learning approaches with case study of Helmet Detection dataset
Authors: Tajane Kapil , Khairmode Atharva , Kore Atharva , Khutale Prathmesh , Girawale Sachin , Pitale Rahul 
Published: December 2024

Abstract

A key component of computer vision, object detection is essential to many applications, including augmented reality, autonomous driving, and monitoring. With a succinct case study on helmet detection, this paper explores the most recent deep learning architectures for object detection. Using a variety of datasets, the study carefully assesses the performance of well-known models such as YOLO, SSD, and R-CNN. Our findings shed light on the advantages and disadvantages of each method for object detection in various settings and scales through thorough investigation and analysis. This research advances the field's understanding and capabilities by highlighting the wider ramifications of object detection in real-world circumstances. Our findings highlight the need of reliable object detection systems and provide insightful information for further studies targeted at developing more efficient and accurate models. The case study on helmet detection illustrates how object detection can be applied to ensure safety compliance, particularly in construction and traffic surveillance. We found that YOLO outperformed other models in real-time detection due to its speed, while SSD provided a good balance between accuracy and performance. R-CNN, though highly accurate, was slower and more computationally expensive. Our results suggest that the choice of model depends heavily on the specific application requirements, such as the need for real-time processing or high precision. Future work should focus on optimizing these models for edge devices and improving their robustness in diverse environmental conditions, further enhancing their practical utility in real-world applications.
Codes of conduct: towards just coexistence in urban spaces
Authors: Lukasik Karolina Magdalena , Linturi Maija , Aivelo Tuomas 
Published: December 2024

Abstract

Our study, comprising interviews and ethnographic observation, examines the human-rat conflict that arose in two urban allotment gardens in Helsinki as a case of multispecies negotiations. We view the rats’ presence and actions in the gardens as political claim-making, to which humans respond. Through these interactions, humans become attuned to the rats’ needs and build socio-ecological knowledge that is vital for more-than-human coexistence. As a result, the gardeners and the rats co-create an implicit code of conduct that defines the conditions of peaceful coexistence. We propose that the code of conduct framework is a useful tool in recognizing pathways towards solutions that achieve multispecies justice.
Development of Self-Healing 2K Waterborne Polyurethane Coatings with PVA/Polyurea Microcapsules for Enhanced Corrosion Protection
Authors: Han Yu , Wei Chaoquan , Wang Ting , Zeng En 
Published: December 2024

Abstract

The inevitable damage to paint films during coating applications significantly reduces their protective performance, leaving the underlying substrate vulnerable. Developing self-healing coatings is therefore of critical importance. This study presents the synthesis of polyvinyl alcohol (PVA)/polyurea hybrid microcapsules (MCs) loaded with isophorone diisocyanate via interfacial polymerization in an oil-in-water emulsion, with PVA serving as the emulsifier. These microcapsules were incorporated into acrylic resin, along with a dispersant, co-solvent, and isocyanate curing agent, to formulate a microencapsulated self-healing two-component waterborne polyurethane (2K WPU) coating. The microcapsules were characterized using TG, FTIR, and SEM. The influence of PVA's polymerization degree and alcoholysis degree on microcapsule properties was systematically analyzed. Results indicate that PVA1799 as an emulsifier yields microcapsules with minimal surface folds and smooth morphology. When 9 wt% of MC1799 was added to the 2K WPU coating, the resulting formulation exhibited optimal performance, achieving an average particle size of 29 µm, along with superior self-healing and anti-corrosion properties. This research offers a novel approach for developing high-performance self-healing coatings with potential industrial applications.
Development of Emotion Recognition for Rehabilitation Feedback System Using Wavelet Transform and LSTM
Authors: Wang Chang-Wen , Zhang Yue , Osawa Keisuke , Nakagawa Kei , Tanaka Eiichiro 
Published: December 2024

Abstract

Human assist devices have been used to assist users in rehabilitation environments to correct patients' motions to increase the rehabilitation quality. However, they are usually a routing working machine that cannot consider the patient's emotions. By introducing emotion recognition into the system, the device can detect the user's condition more accurately and provide a corresponding action to improve the experience. This study focuses on enhancing the precision of emotion recognition for a rehabilitation device designed for stroke patients, which will adjust according to their emotional state to improve their rehabilitation experience. In this study, the Database for Emotion Analysis using Physiological Signals (DEAP) is leveraged, which includes multimodal physiological signals and subjective emotion ratings from 32 participants watching 40 emotion-evoking video clips that is suitable for neural network training. Two preprocessing methods, Short-Time Fourier Transform (STFT) and Wavelet Transform (WT), are considered for utilizing the dataset. Additionally, DNN, DenseNet, and Long Short-Term Memory (LSTM) networks are considered the core of the classification method, which will determine the emotion into 3, 5, or 9 categories. The result indicates that STFT and WT preserve temporal and frequency information that can benefit the classification. Among the models, LSTM demonstrates superior capability in capturing sequential data features from EEG signals, leading to higher accuracy rates. Throughout experiments, the best performance was achieved with the LSTM network processed with WT, with accuracies of 88% for valence and 90% for arousal in 3x3 classification, which is better than the previous system. This comprehensive analysis underscores the importance of choosing appropriate signal processing techniques and neural network architectures to enhance the precision and reliability of emotion recognition systems using EEG data. It can be further applied to detect patients' conditions to provide a better rehabilitation experience for stroke patients.