bluuebunny/crossref_metadata_2025 huggingface dataset:
Avaliando a importância da completude dos dados clínicos em um caso real de diagnóstico de mamas
Authors: Juchneski Márcio , Moura Eudoxia Lottie Silva , Resmini Roger , Conci Aura
Published: June 2024

Este trabalho concentra-se na verificação da importância da completude dos metadados em sistemas de auxílio ao diagnóstico de mamas. Objetiva-se investigar a possibilidade de utilizar abordagens já conhecidas para tratar dados faltantes e verificar sua influência na classificação dos exames. Para se ter um exemplo em um caso real é utilizado o Dataset for Mastologic Research (DMR), desenvolvido e disponibilizado no IC/UFF. Esse conjunto além dos dados clínicos imagens térmicas da mama, mamografias e diagnósticos. Após uma revisão bibliográfica de possíveis técnicas a Hot Deck se mostrou a mais adequada para uma comparação com a simples exclusão dos atributos com muitos dados faltantes na classificação dos casos com diagnóstico comprovado. No entanto, seu uso na classificação entre pacientes normais ou com algum problema nas mamas, com todo o dataset fez com que o resultado final tivesse 94% de acerto na Área Sob a Curva Receiver Operating Characteristic (AUC) versus 92% nos casos em que os seis atributos com maior quantidade de dados faltantes fossem simplesmente desconsiderados.
Aplicação de Modelos de Aprendizado Profundo na Estimativa de Relações Espaciais dos Objetos para Auxiliar Pessoas com Deficiência Visual
Authors: Gassenn Aline Elí , Machado Marcelo Chamy , Santos Eulanda Miranda dos
Published: June 2024

Neste artigo explora-se o uso de visão computacional e aprendizado de máquina no desenvolvimento de um algoritmo assistivo para pessoas com deficiência visual. Apesar dos progressos recentes em tecnologias assistivas, a literatura revela lacunas significativas na integração de detecção de objetos e estimativa de profundidade em tempo real. A metodologia empregada neste estudo utiliza dois modelos pré-treinados: um para detecção de objetos (YOLO) e outro para estimativa de profundidade (MiDaS). O algoritmo desenvolvido é capaz de processar imagens monoculares e de fornecer informações sobre as relações espaciais entre os objetos detectados, além de integrar a saída de texto a alertas sonoros. A avaliação de desempenho aborda a eficiência da combinação dessas arquiteturas em ambientes que operam tanto em CPU quanto em GPU, demonstrando o potencial desta abordagem para melhorar a qualidade de vida de indivíduos com deficiência visual.
Predicting Inpatient Admissions in Brazilian Hospitals
Authors: Consoli Bernardo , Viera Renata , Bordini Rafael H. , Manssour Isabel H.
Published: June 2024

Patient length-of-stay prediction is a topic of interest for hospital administrators, as it can aid in planning and the allocation of critical resources. Ideal resource allocation can result in better care and reduced costs. Artificial Intelligence solutions have been tested for this purpose using several datasets for both foreign and Brazilian hospitals, but focusing on long-term inpatient care or Intensive Care Unit patient flow. We propose using similar solutions to predict inpatient flow from common patient entry points, such as emergency care or walk-in appointments, in an effort to better understand whether a patient will require outpatient care or inpatient admission as early as possible. Our solution was able to predict inpatient flow with as much as 88% accuracy.
Diagnóstico de Tuberculose em Imagens de Radiografia utilizando CvT
Authors: Santos Neto Carlos M. , Silva Anderson L. , Pessoa Alexandre C. P. , Quintanilha Darlan B. P. , Almeida João D. S. de , Braz Junior Geraldo , Diniz João O. B.
Published: June 2024

A tuberculose (TB) é uma das maiores causadoras de morte por doenças infecciosas. Em 2022, estimou-se que no mundo 10,6 milhões de pessoas ficaram doentes com TB. A radiografia de tórax é um exame médico não invasivo que é utilizado para detectar patologias em diversas áreas do tórax, sendo uma ferramenta crucial no diagnóstico de TB. O desenvolvimento na área de visão computacional, com a utilização de técnicas de aprendizado profundo, levou a avanços significativos na detecção automática de anormalidades em imagens radiográficas, possibilitando a existência de diagnósticos auxiliados por máquina. Neste trabalho é proposto um método para o diagnóstico de tuberculose em imagens de radiografia utilizando a rede neural Convolutional Vision Transformers. Os resultados mostram métricas relevantes, com uma acurácia de 93,13%, um F1-score de 92,68% e uma AUC-ROC de 97,16%, utilizando as bases de imagens públicas Shezen e Montgomery County. Esses resultados são superiores ao estado da arte.
Prediction of Skin Tumor Invasiveness: A National Analysis Through Explainable Artificial Intelligence (XAI)
Authors: Mata Marcus Augusto Padilha da , Leitão Júnior Plínio de Sá
Published: June 2024

In Brazil, skin tumors represents the type of neoplasm with the highest incidence rate among the population. Because of this, this study explores the invasiveness of this disease using computational techniques to understand how specific patient characteristics influence its progression. Through the analysis of data provided by the Cancer Hospital Registry (RHC) of the National Cancer Institute José Alencar Gomes da Silva (INCA), and with the aid of Artificial Intelligence (AI) algorithms explained by the SHapley Additive exPlanations (SHAP) approach, the study reveals that the invasiveness of skin cancer is affected in a significantly different way by the individual characteristics of patients compared to analyses based on more general attributes. These findings underline the importance of personalization in medicine, suggesting that a deeper understanding of individual characteristics can lead to more accurate diagnoses and more effective treatments. Furthermore, the research highlights the role of XAI in clarifying these relationships, pointing to the need for more refined approaches in prevention, treatment, and the formulation of public health policies aimed at combating skin tumors, despite limitations such as data imbalance encountered during the study.
Aplicação de Modelos de Aprendizado Profundo para a Segmentação Semântica de Imagens de Colonoscopia
Authors: Aguiar Rubens M. G. , Scheeren Michel H. , Araujo Junior Sandro L. de , Mendes Eduardo , Paula Filho Pedro L. de , Franco Ricardo A. P.
Published: June 2024

Grande parte dos casos de câncer colorretal tem origem em pólipos colorretais. A elevação na taxa de detecção de pólipos reduz o risco de desenvolvimento dessa patologia. Por isso, a implementação de redes neurais para detectar e segmentar tais pólipos representa uma estratégia que gera resultados impactantes. Por isso, surge a necessidade de comparar os diferentes modelos disponíveis na literatura e identificar as melhores opções para segmentação de polípos. De fato, a partir de do conjunto de dados Kvasir, foram selecionados modelos com potencial e foram executado os treinamentos e avaliações de seus desempenhos. Efetivamente, foram treinados 8 modelos, nos quais foram identificadas as arquiteturas mais eficientes para a segmentação de pólipos no conjunto de dados, por exemplo, o modelo ESFPNet alcançou o maior DICE (0,9008).
Classificação de Patologias Oculares com o Uso em Cascata do Modelo Swin Transformer
Authors: Belfort Filipe Correia , Lima Antônio Pedro Vieira , Silva Italo Francyles Santos da , Silva Aristófanes Corrêa
Published: June 2024

A cada ano, entre 1 e 2 milhões de pessoas perdem a visão no mundo, sendo as mulheres as mais afetadas. O exame de fundo de olho é um meio não invasivo e de baixo custo comparado com outras técnicas, que pode ser usado para diagnosticar diferentes anormalidades oculares. Essa observação manual consome tempo e está sujeita a erros de interpretações entre os especialistas. Nesse contexto este trabalho propõe um método de classificação em cascata para realizar o correto diagnostico das doenças utilizando a rede Swin Transformer, No teste feito com a base Odir5K obteve resultados de até 71% de F1-Score para classe normal, 0.67% para classe Doente.
Modelo SEIR-SEI para a Dinâmica de Transmissão da Dengue no Estado de Goiás
Authors: Vitória Arthur R. S. , Mori Adriel L. V. , Coelho Clarimar J. , G. Filho Arlindo R.
Published: June 2024

A dengue se destaca como uma das doenças infecciosas mais desafiadoras e prevalentes em regiões tropicais e subtropicais. Apresentando um crescimento alarmante no número de casos nos últimos anos, acompanhado por um aumento significativo nas taxas de mortalidade. Desta forma, este estudo utiliza um modelo epidemiológico compartimental do tipo SEIR-SEI. O estudo de caso para os dados do estado de Goiás para os anos de 2023 e 2024 resultou em um MAPE de 18.99% e 7.55%, respectivamente. Desta forma, esta abordagem se mostrou promissora para o estudo da dinâmica de transmissão da dengue no estado de Goiás.
Infant Movement Detection via Eigenvalue-Entropy Based Subspace Method
Authors: Camelo Leonardo Yuto Suzuki , Gatto Bernardo Bentes , Mendonça Ayrles , Giusti Rafael , Santos Eulanda Miranda dos
Published: June 2024

The early identification of anomalous movements in infants is crucial for intervening in potential neuromotor development disorders. The clinical method General Movement Assessment (GMA) is devoted to this identification task. However, since GMA is intensive and requires experts, new machine learning-based approaches and keypoints extracted from videos have emerged. However, challenges such as the underrepresentation of infants with writhing movements (WM)—general movements presented by infants in their first weeks of life; the scarcity of public datasets; and the fact that only video segments showing infants performing movements must be analyzed, are limitations to identify anomalous movements in infants automatically. This work introduces a method which uses spatial distance features extracted from skeletal data and employs subspace method based on the statistical analysis of the eigenvalue-entropy to enhance the detection of infants movements in video data, especially video from infants exhibiting WMs. The proposed method applies a subspace approach as an initial step to filter infant movements for further detection and subsequent classification, aiming to improve the detection and understanding of these critical early indicators. The results show that the proposed method is able to detect subtle nuances in infant movements more effectively than the baseline method, making it a promising tool for automatic developmental monitoring.
Rumo a um processo de design para o desenvolvimento de aplicações mHealth: avaliando a usabilidade à luz do letramento digital em saúde
Authors: Oliveira Hugo Miranda de , Anjos Filipe dos , Mata Luciana da , Berretta Luciana , Carvalho Sergio T.
Published: June 2024

Com o aumento da presença dos dispositivos móveis, tem ocorrido maior procura por ferramentas que auxiliem nas atividades diárias humanas, especialmente em áreas críticas como a saúde. Percebe-se, no entanto, que há uma lacuna nos processos de design para o desenvolvimento de aplicações móveis em saúde (mHealth) que levem em consideração heurísticas de usabilidade e diretrizes de letramento digital em saúde. Isso caracteriza um desafio para sistemas aplicados à saúde móvel, pois essa lacuna pode afetar a usabilidade, comunicação e a experiência do usuário/paciente para se fazer o gerenciamento do autocuidado de sua saúde, principalmente em um público-alvo como os idosos. Este artigo propõe um processo de design para o desenvolvimento de aplicações móveis em saúde com foco em usabilidade e letramento digital em saúde. O principal objetivo é possibilitar uma nova forma de se desenvolver aplicações móveis para públicos específicos que requerem atenção específica, principalmente no que tange uma comunicação mais efetiva com usuários/pacientes idosos.
Play Blow - Um Jogo para Auxiliar na Fisioterapia Respiratória
Authors: Larentis Andrêsa Vargas , Carvalho Juliano Varella de , Bez Marta Rosecler , Silva Vandersilvio da , Kurtz Diego Monroe
Published: June 2024

A fisioterapia respiratória pode ser desmotivante para as crianças que sofrem com doenças respiratórias crônicas, pois utilizam dispositivos compostos de sistemas de mangueiras que deslocam objetos com o ar gerado, ludicamente pouco atrativos. Cenários lúdicos inseridos nos jogos digitais podem simular os exercícios para este fim. Este trabalho apresenta o Play Blow, um jogo para auxiliar na fisioterapia. Para isso, um hardware captura dados do sopro por um bocal, e os transmite para o jogo. Minijogos em um celular simulam os exercícios. Os dados capturados ficam disponíveis para análise futura. Testes iniciais do hardware e do jogo foram executados, e a partir dos resultados e dos feedbacks, melhorias estão sendo desenvolvidas.
Avaliando a Sobreamostragem de Dados Temporais de Marcha no Diagnóstico Automático de Doenças Neurodegenerativas
Authors: Chagas Ana Luísa de Bastos , Bucci Giordana de Farias F. B. , Félix Juliana Paula , Fonseca Afonso Ueslei da , Nascimento Hugo A. D. do , Soares Fabrizzio
Published: June 2024

Doenças neurodegenerativas (DNDs) causam, dentre outros sintomas, o comprometimento da marcha. Diversos estudos analisam a marcha para, com o auxílio da inteligência artificial, auxiliar no diagnóstico de DNDs. Devido à dificuldade de coleta de novos dados, a técnica de sobreamostragem através do janelamento de dados é frequentemente utilizada. No entanto, um estudo anterior apontou para um possível enviesamento na fase de treinamento de algoritmos de classificação utilizando técnicas de janelamento. Este trabalho investiga esse viés, avaliando, além da validação cruzada tradicionalmente utilizada, uma segunda abordagem, em que tratamos o enviesamento apontado. Os resultados indicam a necessidade de cuidados extras quando se lida com sobreamostragem de dados temporais de marcha.
Previsão de infecção relacionada à assistência à saúde em pacientes adultos de UTI utilizando ferramentas de inteligência artificial
Authors: Souza Vitor Pires Silva e , Fernandes Deborah Silva Alves , Santos Silvana L. V. dos , Fernandes Márcio Giovane Cunha
Published: June 2024

Este artigo explora o uso de técnicas de inteligência artificial para prever Infecções Relacionadas à Assistência à Saúde (IRAS). O estudo, baseado em dados de um Hospital Escola de referência coletados entre janeiro e agosto de 2021, investiga quais algoritmos de aprendizado de máquina são mais eficazes para prever IRAS. Foram utilizados algoritmos de classificação, como Random Forest, Decision Tree, Gradient Boosting, Adaboost e XGboost. A métrica da área sob a curva ROC (Receiver Operating Characteristic) e StratifiedKFold foram utilizados para medir o desempenho dos modelos. Os resultados para Random Forest, Decision Tree, Adaboost, Gradient Boosting e XGboost foram 0,91; 0,78; 0,81; 0,92; e 0,87, respectivamente. Com essas informações, o estudo contribui para o desenvolvimento de estratégias que reduzem os riscos associados a infecções hospitalares.
O Papel da Tecnologia no Diagnóstico e Tratamento dos Sintomas do Transtorno do Déficit de Atenção com Hiperatividade (TDAH)
Authors: Salles Helena Carvalho Lannes Corrêa , Valle Pedro Henrique Dias
Published: June 2024

Este trabalho apresenta um Mapeamento Sistemático da Literatura (MSL) sobre o papel da tecnologia no diagnóstico e tratamento do Transtorno do Déficit de Atenção e Hiperatividade (TDAH). Foram identificadas diversas tecnologias, incluindo ressonância magnética, eletroencefalografia (EEG) e realidade virtual, demonstrando eficácia na detecção de padrões de comportamento e intervenções terapêuticas personalizadas. Apesar dos diferentes benefícios identificados, desafios como custo, manutenção e validação dos métodos foram destacados. O estudo aponta para oportunidades futuras na adaptação de intervenções personalizadas e avaliação de longo prazo da eficácia das tecnologias no manejo do TDAH.
Detecção Automática de Macrófagos em Exame Parasitológico Utilizando Clusterização e Redes Neurais Convolucionais
Authors: Borges Armando L. , Dias Viviane B. L. , Gonçalves Clésio de A. , Sousa Lucas B. M. de , Viana Daniel de A. , Pacheco Ana Carolina L. , Silva Romuere R. V. e
Published: June 2024

A Leishmaniose Visceral é uma doença parasitária que afeta o sistema de defesa do hospedeiro, sendo os cães, seus principais reservatórios urbanos. A diagnose precoce em animais é crucial para evitar a transmissão para humanos. O padrão ouro para o diagnóstico da doença, o exame parasitológico, é um trabalho repetitivo e fadigante. Este artigo apresenta um sistema para detecção e quantificação de macrófagos em imagens médicas, visando auxiliar o diagnóstico. As regiões de interesse foram segmentadas utilizando o agrupador K-Means e na detecção foi utilizada a arquitetura DenseNet201. A metodologia atingiu 94,7% de Precisão, e 89,4% para o índice de Kappa. Isso indica a capacidade do sistema no auxílio do diagnóstico.
Optimization of Sewing Equipment Based on Improved Genetic-ant Colony Hybrid Algorithm
Authors: Rao Ning , Jin Wenbing , Yang Yuemei , Liao Yihui , OuYang Liangjing
Published: June 2024

The optimization of the cutting path of the sample can effectively reduce the cutting time, thereby improving the production efficiency of numerical control processing. This paper comprehensively considers the impact of the cutting order and the position of the knife entry point on the cutting path, converts the cutting path problem into a type of traveling salesman problem (TSP), and proposes an improved genetic-particle swarm optimization algorithm. The selection mechanism of the algorithm combines the elitist retention strategy and roulette wheel selection method to accelerate the search for the optimal solution; the mutation strategy designs a linear decreasing mutation rate, which enhances the global search ability; at the same time, introduces the ant colony optimization algorithm to process the fitness function, adjusts the population evolution difference, and speeds up the optimization process. Through this hybrid algorithm, the cutting order of the sample can be quickly optimized, and the nearest neighbor algorithm is used to determine the position of the knife entry point. Tests are conducted on clothing patterning charts and standard examples. Compared with several commonly used algorithms, experimental results verify the feasibility and effectiveness of this algorithm
Achyranthes aspera-Mediated Silver Nanoparticle Synthesis for Enhanced Enrichment: Toxicological Studies on Eudrilus eugeniae Earthworms
Authors: Thayalan Uma RAJALAKSHMI , Chellaiah ESAIVANI , Thangaiya ANANTHAKUMAR , Ramaiah Mariselvam , Sami Al OBAID , Hossam M. ALJAWDAH
Published: June 2024

This study utilizes gas chromatography mass spectrometry (GC-MS) to analyze phytochemicals in Achyranthes aspera, revealing over 57 phyto components in its methanol extracts. Major components include Neophytadiene, Stigmasterol, and Lupeol. The study then explores the formation of silver nanoparticles (AgNPs) using these extracts, observing a color change in the reaction mixture, indicating successful synthesis. UV/Vis spectra reveal absorption peaks at 343 and 411nm, indicative of surface plasmon resonance (SPR) in the AgNPs. Fourier-transform infrared spectroscopy (FTIR) highlights various functional groups present in the nanoparticles. X-ray diffraction (XRD) confirms the crystalline nature of the AgNPs, showing distinct peaks corresponding to crystallographic planes. SEM and AFM images display spherical AgNPs with cluster formations. The introduction of these plant-mediated AgNPs to earthworms results in significant growth compared to control groups. Silver content analysis in earthworms corroborates the effectiveness of the plant-mediated nanoparticles. Dissection analysis reveals enhanced growth in reproductive organs. Despite the benefits of nanomaterials, the study acknowledges potential toxicological concerns, emphasizing the increasing usage of silver nanoparticles and their potential impact on the environment. This research provides valuable insights into the synthesis, characterization, and biological effects of plant-mediated silver nanoparticles.
The Nanoparticle-induced Zener Pinning Effect on Strain-softening in a Cold-Worked Cu-Al2O3 Composite with 0.1 wt.% Al Content
Authors: ZHANG Dongping , WEI Peng , LI Hengju , CHEN Zhihui , WEI Kuixian
Published: June 2024

The thermo-stability of microstructure during isothermal annealing at 900 °C and 1000 °C in a cold-worked Cu-Al2O3 composite with 0.1 wt.% Al content and its effect on resistance to softening were investigated in this paper. The results reveal that the microstructure following cold deformation consists of a Cu matrix with a refined grain size and high-density dislocations, accompanied by dispersed Al2O3 nanoparticles exhibiting an extremely low volume fraction. During isothermal annealing at 900 °C, the Al2O3 nanoparticles can strongly restrict the migration of the dislocations and suppress the recrystallization of the fine-grained Cu matrix by the Zener pinning effect. Furthermore, the presence of pinned dislocations facilitates the formation of sub-grain boundaries comprising high-density dislocations. Consequently, the Cu-Al2O3 composite with 0.1 wt.% Al content exhibits remarkable thermo-stability in its microstructure due to the incorporation of Al2O3 nanoparticles, resulting in a significantly elevated softening temperature of up to 1000 °C and thereby demonstrating excellent resistance against softening. However, the observed phenomenon of softening after isothermal annealing at 1000 °C for 5 hours can be attributed to extensive recrystallization growth that promotes twin boundary formation, primarily caused by the weakening Zener pinning effect resulting from Oswald ripening of Al2O3 and rod-like Al2O3 formation.
CAR-T Cells: A Breakthrough in Cancer Treatment
Authors: Sriwastava Ankit , Gupta Shubha , Kumar Anand , Gupta Sundaram , Kumar Dharmendra
Published: June 2024

Cancer is a significant health problem that demands ongoing innovation in treatment approaches. This chapter examines the evolution of cancer therapies, highlighting the limitations of conventional methods and the need for precise and effective solutions. Chimeric Antigen Receptor T cell therapy (CAR-T) emerges as a promising solution. The chapter delves into the fundamentals of CAR-T cell therapy, explaining the process of engineering these cells and their mechanism of action. It also discusses the clinical applications of CAR-T cell therapy in approved indications for hematologic malignancies. CAR-T cell therapy has expanded its scope to solid tumors and is exploring futuristic possibilities, such as combination therapies. Although there are challenges, ongoing research focuses on enhancing accessibility. The collaborative and interdisciplinary nature of cancer treatments is emphasized.
Effective governance and competition – drivers of inclusive growth
Authors: Смоляницкий К.С.
Published: June 2024

цель исследования – определить почему ставка на эффективные и конкурентоспособные рынки является залогом успеха в содействии инклюзивному росту. Методы: в качестве методов в представленном исследовании используются общенаучные методы: литературный обзор, иетоды сравнения и обобщения. Результаты (Findings): в этой статье рассматривается, как использование эффективных и конкурентоспособных рынков может способствовать инклюзивному росту. С этой целью автор раскрывает способы, с помощью которых эти рынки поддерживают такой инклюзивный рост, и рассматривает современную научную литературу по этому вопросу. В частности, показывается, что конкуренция и эффективное регулирование способствуют созданию благосостояния благодаря повышению эффективности, инноваций, международной конкурентоспособности и производительности. Но, кроме того, они способствуют тому, чтобы такой рост носил инклюзивный характер, и борются с неравенством, способствуя улучшению потребительских условий, увеличению занятости, равенству возможностей и улучшению государственных услуг, что приносит особую пользу хозяйствам с более низким доходом и без дополнительных затрат для государства. Выводы: выявленные зависимости указывают, что эффективное управление и конкуренция являются подходящей политикой для стимулирования устойчивого и инклюзивного роста, который приведет к повышению благосостояния всего населения.

the purpose of the study is to determine why betting on efficient and competitive markets is the key to success in promoting inclusive growth. Methods: general scientific methods are used as methods in the presented study: a literary review, and methods of comparison and generalization. Findings: this article examines how the use of efficient and competitive markets can contribute to inclusive growth. To this end, the author reveals the ways in which these markets support such inclusive growth and examines the current scientific literature on this issue. In particular, it is shown that competition and effective regulation contribute to the creation of well-being through increased efficiency, innovation, international competitiveness and productivity. But, in addition, they help ensure that such growth is inclusive and combat inequality by contributing to improved consumer conditions, increased employment, equality of opportunity and improved public services, which brings special benefits to lower-income households and at no additional cost to the State. Conclusions: the identified dependencies indicate that effective governance and competition are appropriate policies to stimulate sustainable and inclusive growth that will lead to improved well-being of the entire population.
The relationship between fuel consumption trends and economic development in China
Authors: Чжан Ч.
Published: June 2024

это исследование изучает сложные взаимосвязи между тенденциями потребления топлива и экономическим развитием в Китае, используя комплексные методы, включая анализ случаев, сравнительный анализ, качественный анализ и анализ политики. Основные выводы включают следующее: во-первых, начиная с 1990-х годов, Китай пережил быстрый экономический рост и индустриализацию, что привело к значительным изменениям в тенденциях потребления топлива. Существует сильная корреляция между ростом ВВП и потреблением топлива, подчеркивающая влияние экономической активности на потребность в энергии. Во-вторых, исследование выявило региональные различия в отношениях между потреблением топлива и экономическим развитием, подчеркивая разнообразие экономических структур, энергетических ресурсов и стратегий развития в разных регионах Китая. Наконец, различные экономические сектора, такие как производство, транспорт и услуги, оказывают различное влияние на модели потребления топлива. Эти выводы предоставляют важные рекомендации для формирования эффективной энергетической политики и продвижения устойчивого развития. В целом, это исследование обеспечивает глубокое понимание динамики между потреблением топлива и экономическим развитием в Китае, предоставляя ценные рекомендации для политиков и исследователей по направлению будущих энергетических стратегий и продвижению устойчивого роста.

this study explores the complex relationship between fuel consumption trends and economic development in China, revealing several key findings through a combination of case studies, comparative analysis, qualitative analysis and policy analysis. First, since the early 1990s, China has experienced rapid economic growth and industrialization, driving significant changes in fuel consumption trends. There is a strong correlation between GDP growth and fuel consumption, emphasizing the impact of economic activities on energy demand. Second, the study reveals regional differences in the relationship between fuel consumption and economic development, highlighting the diversity of economic structures, energy resources and development strategies in different regions of China. Finally, different economic sectors, such as manufacturing, transportation, and services, have different impacts on fuel consumption patterns. These findings provide important references for formulating effective energy policies and promoting sustainable development. Overall, this study provides a comprehensive understanding of the dynamics between fuel consumption and economic development in China, providing valuable insights for policy makers and researchers to guide future energy strategies and promote sustainable growth.
Economics and climate change: adaptation and mitigation strategies for economic development
Authors: Гарбузова Т.Г. , Фаизова Э.Ф. , Коровкина А.И. , Ефремова И.И. , Реджепов М.Б.
Published: June 2024

статья рассматривает вопрос взаимосвязи между экономикой и климатическими изменениями, а также предлагает стратегии адаптации и смягчения воздействия последних на экономическое развитие. В контексте усиливающихся климатических аномалий и их потенциального влияния на экономические системы мира, авторы анализируют различные подходы к управлению климатическими рисками. Обсуждаются меры адаптации, направленные на укрепление устойчивости экономик к изменению климата, такие как улучшение инфраструктуры, развитие экологически чистых технологий и повышение гибкости в экономических стратегиях. Также рассматриваются меры по смягчению воздействия климатических изменений на экономическое развитие, включая сокращение выбросов парниковых газов, стимулирование экологически устойчивых инвестиций и укрепление международного сотрудничества в области климата. В итоге, статья предлагает комплексный подход к управлению взаимосвязью между экономикой и климатическими изменениями, который не только способствует адаптации к ним, но и способен смягчить их негативное воздействие на экономическое развитие.

the article examines the relationship between the economy and climate change, and also suggests strategies for adapting and mitigating the impact of the latter on economic development. In the context of increasing climatic anomalies and their potential impact on the world's economic systems, the authors analyze various approaches to climate risk management. Adaptation measures aimed at strengthening the resilience of economies to climate change, such as improving infrastructure, developing environmentally friendly technologies and increasing flexibility in economic strategies, are discussed. Measures to mitigate the impact of climate change on economic development are also being considered, including reducing greenhouse gas emissions, encouraging environmentally sustainable investments and strengthening international climate cooperation. As a result, the article offers an integrated approach to managing the relationship between the economy and climate change, which not only contributes to adaptation to them, but is also able to mitigate their negative impact on economic development.
Russian and Chinese diplomacy as a tool for implementing state interests
Authors: Ци Г. , Цю Ш.
Published: June 2024

укрепляющееся в условиях современности взаимодействие между РФ и КНР характеризуется глобальными последствиями. В связи с тем, что западные ограничительные меры продолжают определять трансформацию отношений на международной арене, сотрудничество между двумя акторами бросает вызов доминированию традиционных альянсов. Дипломатия, анализируемая современными исследователями в качестве искусства и практики ведения переговоров между представителями государств, занимает ключевое место в международных отношениях. РФ и КНР не являются исключением. Она рассматривается как базовый инструмент, применяемый для позиционирования, транслирования и отстаивания интересов стран на мировой арене. При этом, в отличие от военных противостояний, сохраняются мирные и конструктивные контакты и взаимодействия с другими акторами. Целью в данной статье ставится исследование особенностей российской и китайской дипломатии как инструмента реализации государственных интересов. Для этого решены соответствующие задачи: рассмотрены современные особенности дипломатии, её характеристики применительно к РФ и КНР, проанализированы сходства и различия. Практическое применение результатов данного исследования сопряжено с последующей проработкой на базе материала статьи проблематики оптимизации механизмов дипломатии как инструментария реализации государственных интересов.

the strengthening interaction between the Russian Federation and the People's Republic of China is characterized by global consequences. As Western restrictive measures continue to shape the transformation of international relations, cooperation between the two actors is challenging the dominance of traditional alliances. Diplomacy, analyzed by modern researchers as the art and practice of negotiating between representatives of states, occupies a key place in international relations. The Russian Federation and China are no exception. It is considered as a basic tool used to position, broadcast and defend the interests of countries on the world stage. At the same time, unlike military confrontations, peaceful and constructive contacts and interactions with other actors are maintained. The purpose of this article is to study the features of Russian and Chinese diplomacy as a tool for realizing state interests. For this purpose, modern features of diplomacy, its characteristics in relation to the Russian Federation and the People's Republic of China are considered, similarities and differences are analyzed. The practical application of the research results is associated with subsequent elaboration, based on the material in the article, of the problems of optimizing the mechanisms of diplomacy as a tool for realizing state interests.
Integration of blockchain technology in innovative entrepreneurship
Authors: Гвоздевский И.Н. , Кадацкая Д.В. , Лаврова Ю.С.
Published: June 2024

целью исследования является оценка эффективности и безопасности осуществления финансовых операций при внедрении блокчейн-решений для совершенствования процессов хозяйственной деятельности предприятий. Методы: в качестве методов в представленной исследовании используются статистические методы анализа рынка цифровых технологий. Результаты (Findings): в исследовании представлен механизм поддержки биткойнов, самой известной и спорной криптовалюты в мире как передовой цифровой технологии – блокчейн, которая позволяет как трансформировать, так и запускать новые отрасли. Выводы: анализируя тенденции современных цифровых технологий, пришли к выводу о том, что блокчейн может модернизировать традиционные бизнес-модели и практики, открывая новую эру эффективности, безопасности и прозрачности в финансовых услугах.

the purpose of the study is to assess the efficiency and security of financial transactions when implementing blockchain solutions to improve the processes of economic activity of enterprises. Methods: The presented research uses statistical methods for analyzing the digital technology market as methods. Findings: the study presents a mechanism to support bitcoins, the most famous and controversial cryptocurrency in the world as an advanced digital technology – the blockchain, which allows both to transform and launch new industries. Conclusions: analyzing the trends of modern digital technologies, we came to the conclusion that blockchain can modernize traditional business models and practices, opening a new era of efficiency, security and transparency in financial services.
Study on the Existence of the Shadow Terminal on the Pasir Hayam Terminal Service
Authors: Irawan Deden , Hendarto Sri , Kusdian Didin
Published: June 2024

Many people are interested in using the shadow terminal area on Jalan Raya Cibeber as a place to wait for public transportation and an interaction point between modes and routes. The purpose of this study is to evaluate the existence of shadow terminals around Pasir Hayam Terminal, focusing on the factors that influence passenger preferences in choosing shadow terminals compared to official terminals.  This research method uses a quantitative approach, where Importance Performance Analysis (IPA) is used to evaluate public transportation users' satisfaction with the performance of shadow terminals and main terminals. In addition, the SWOT Analysis Method is used as a tool to help structure the problem, especially in analyzing the strategic environment, which consists of two aspects, namely the internal and external environment. The results of calculations and analysis using the IPA method show that comfort and convenience are the main factors that influence passenger preferences in choosing the Shadow Terminal. Another significant factor is the availability of clean and complete dining and toilet facilities.  Through SWOT analysis, Pasir Hayam Terminal is in quadrant 2 which indicates a diversification strategy. In this strategy, the focus will be on optimizing the strengths of the terminal, improving existing weaknesses, taking advantage of open opportunities, and overcoming threats that may be faced. In addition, this strategy includes efforts to increase the advantages of Pasir Hayam Terminal over Terminal Bayangan and utilize the potential of Terminal Bayangan as a strength.
Human Behavior in Social Context
Authors: Rahma Annisa , Wantini Wantini
Published: June 2024

Humans are complex social beings, and their behavior is influenced by interactions with their social environment. In this context, a deep understanding of the factors that shape human behavior is essential. This research aims to understand how cultural values, norms, and traditions influence human behavior in a particular social context. This research uses the case study method. Research subjects may include diverse groups of people involved in social interactions, such as individuals from different age groups, cultures, and socio-economic backgrounds. Data collection techniques include participant observation and case studies. The results show that human behavior in social contexts is strongly influenced by various factors, including culture, norms, and interactions between individuals. Data analysis confirmed that culture plays an important role in shaping behavior, with cultural values influencing individual decisions and actions.
The Influence of Corporate Governance, Profitability, and Capital Intensity on Tax Avoidance in Manufacturing Companies Listed on the Idx in the Time Frame 2021-2023
Authors: Witomo Andri , Zidan Qiam Arrahman Zahid
Published: June 2024

Tax avoidance is a significant issue that can affect state revenues and fiscal fairness. Companies often use legal loopholes to reduce their tax liability, which while legal, is contrary to the primary purpose of tax laws. This study aims to find out and analyze corporate governance, profitability, and capital intensity affect tax avoidance in manufacturing companies in Indonesia. This study uses a quantitative approach with secondary data from the financial statements of manufacturing companies listed on the IDX. The independent variables in this study are corporate governance (audit quality and audit committee), profitability, and capital intensity, while the dependent variable is tax avoidance. Data analysis was carried out by normality, multicollinearity, heteroscedasticity, autocorrelation, and hypothesis test using the t-test and the F test. However, simultaneously, audit quality, audit committee, profitability, and capital intensity affect tax avoidance. The study implies that an increase in the number of audit committees and investment in fixed assets can reduce tax avoidance. These findings can be a reference for policymakers and corporate management in improving corporate governance to minimize tax avoidance practices.
Analisis Quality of Service Jaringan Internet pada Bts Perangkat Ericsson Provider Indosat (Studi Kasus: Bts Indosat)
Authors: Dafa Rizqi Herin , Tjahjono Budi
Published: June 2024

Teknologi Informasi dan Komunikasi terus mengalami perkembangan. Permasalahan yang sering dialami oleh pengguna Indosat antara lain jaringan internet yang tiba-tiba melambat karena gangguan pada jaringan internet yang tersedia, komunikasi terhenti karena lag, dan jaringan internet tiba-tiba menghilang.  Tujuan peneliti ini adalah untuk pemasangan perangkat jaringan indosat dan untuk mengetahui kualitas kecepatan jaringan internet di daerah Cengkareng secara real-time. Quality of Service (QoS) merupakan metode untuk menghitung dan menganalisis data yang menguji kemampuan jaringan dalam menyediakan informasi tentang kualitas jaringan yang baik. QoS memberikan informasi mengenai nilai throughput, packet loss, delay, dan jitter. Teknik pengumpulan menggunakan metode kuantitatif yaitu data primer yang diambil dari software Wireshark untuk mendapatkan informasi tentang paket data yang melintasi jaringan, software wireshark dan moshel peneliti gunakan sebagai alat pemecahan masalah. Hasil dari penelitian ini dimaksud untuk pemasangan perangkat jaringan indosat dan untuk mengetahui kualitas kecepatan jaringan internet di daerah Cengkareng secara real-time. Berdasarkan perhitungan yang telah peneliti lakukan pada 3 kali pengujian pertama mendapatkan rata-rata indeks 2 (Sedang), Adapun pengujian setelah dilakukan troubleshoot perangkat BTS dan Optimalisasi Antena RF mendapatkan rata-rata indeks yang lebih baik yaitu 3,3 (Bagus)
In Vitro Meat Technology and Environmental Virtue Ethics
Authors: Robison-Greene Rachel ,   Philosophy Documentation Center
Published: June 2024

Human beings have always used technology to navigate the world around them. Some of it has had devastating consequences for the environment. In particular, technology that made industrial animal agriculture possible has led to climate change, deforestation, loss of biodiversity, pollution of water, and soil desertification among other environmental impacts. Cell cultured or in vitro meat has the potential to satisfy the same demand while reducing impacts on the environment. Many of the moral arguments offered in favor of in vitro meat have been consequentialist in nature. Some of the main arguments against it have been motivated by virtue theory. This paper will defend in vitro meat on virtue theoretic grounds. The first section of the paper addresses arguments that have been offered and those that might potentially be offered against in vitro meat on the basis of virtues such as reverence for life, temperance, respect for nature, and simplicity. The second section provides an argument for curiosity as an environmental virtue and emphasizes the importance of using the Indian concept of ahimsa to guide our thinking about how to be curious virtuously. I argue that developing in vitro meat is an example of this kind of curiosity.
Frequency and Severity of Cow’s Milk Allergy Reactions in Children: A Prospective Audit
Authors: Wang'ondu Loise , Topisia Enock
Published: June 2024

Milk ranks as the second most common allergen, following peanuts. Recent studies from Spain and theUSA reports an annual frequency of accidental allergic reactions (AAR) ranging from 34% to 40%. AAR severity is influenced by food allergens and the presence of atopic diseases such as asthma, eczema, hay-fever, and recurrent wheezing. This study aimed to determine the frequency of accidental allergic reactions in children with cow’s milk protein allergy between September 2011 to September 2012. The study design employed is missing. A structured questionnaire was used and the guardians of the patients were guided in answering by the research assistants (Students). The questionnaire was conducted on 62 patients (35 males, 27 females) with a median age of 67 months. The inquiries were about the number and locations of accidental reactions, their severity, other food allergies, and risk factors such as asthma, hay-fever, recurrent wheezing, and eczema. Symptoms were classified as mild, moderate, or severe, and previous and current skin prick test results were recorded. Between 2011 and 2012, the frequency of AAR was found to be 57% (inclusive of adults). Among the children, 37 (60%) experienced 51 accidental reactions in the past year, with 43% classified as mild, 19% as moderate, and 38% as severe. The majority of reactions (60%) occurred at home, and treatment primarily involved the use of Chlorphenamine [Piriton©] (79%). Three anaphylactic reactions occurred and were identified leading to hospitalization and administration of epinephrine. Oral exposure was the primary route (89%), with milk-containing products being the most common allergen sources (51%). The main cause of AAR was attributed to mislabeling and misreading of labels, especially in newly implemented recipes and non-packaged cereal products like homemade croissants sold in cafes and restaurants. Other causes included high levels of peanut traces and hazelnuts in cookies and chocolates. In conclusion, accidental allergic reactions are prevalent in children and are often caused by contamination, mislabeling, recipe changes by companies, misinterpretation by caregivers, and direct milk intake. Risk factors for AAR severity include hay fever, peanut allergy, multiple atopic diseases, and wheal size.
A Retrospective Clinical Evaluation of Esthetic Restorations: Class III, IV, And V
Authors:   DDS,   MSc, Department of Conservative Dentistry, Federal University of Rio Grande do Sul, RS, Brazil.
Published: June 2024

This study aimed to evaluate direct composite restorations Class III, IV and V through the USPHS and FDI criteria. Eighty-seven patients were selected through a search of the patients’ records present in the School of Dentistry. Restorations performed between 2000 to 2013 which a minimum of six months in service were selected. Adult patients of both sexes were included, who received composite restorations with total-etch adhesive system; on vital and non-vital teeth. Clinical evaluation was performed by USPHS and FDI criteria, by one calibrated examiner. The survival of the restorations was analyzed using the Kaplan-Meier and log-rank test to compare groups, and multivariate Cox regression and hazard ratio were employed to identify factors associated with the failure of the restorations. 272 restorations were evaluated with a time interval in service from 8 months to 13 years (mean 4.8 years). 120 class III restorations were evaluated with 15 failures (12.5%), with an annual failure rate of 2.74%. For class IV, 80 restorations were evaluated, with 38 failures (47.5%), with an annual failure rate of 12.6%. And for class V, 72 restorations were analyzed, with the presence of failures in 27 of them (37.5%), with annual failure rate of 9.3%. The most common reason for failure was fracture and loss of retention, occurring in 73 cases in total. Non-vital teeth showed 50% of failure, with an annual failure rate of 13.4%; while the vital teeth showed 28.1% of failure, with an annual failure rate of 6.6%. It was concluded that composite restorations showed a satisfactory performance over time, with a survival rate of 70.6% in a mean time of 4.8 years. Class III showed better clinical performance than class V and IV. Non-vital teeth restorations had 2.37 times the risk of failures than vital teeth. Both criteria (USPHS and FDI) were effective in the clinical evaluation process.
Exploring the Integrating Technology in ELT Curriculum
Authors: Wahidha Rahma , Kardena Absharini
Published: June 2024

The curriculum must be purposefully arranged and divided into distinct programs in order to fulfill the nation's educational goals, which have been set by the Indonesian government. A major factor in determining what should be included in an educational curriculum is technology integration inside the curriculum. It is necessary to conduct research studies that examine the extent and effectiveness of technology integration in Indonesia's English curriculum. Because of this, it's imperative that instructors look into effective ways to incorporate technology into English curricula and stay up to date on the latest technological developments that can improve language acquisition. This work's primary research methodology is research library, which comprises a careful review of relevant books, articles, and research papers. The purpose of the English curriculum and how it may be applied to improve language instruction in indonesia