bluuebunny/crossref_metadata_2025 huggingface dataset:
Violência escolar e suas consequências físicas, psicológicas e profissionais sobre os professores
Authors: Sousa Noedna Braga Freire , Granja Nadiedia Lopes , Monte Franciela Félix de Carvalho , Santos Paulo César Marques de Andrade , Shiosaki Ricardo Kenji , Silva Tarcísio Fulgêncio Alves da
Published: July 2024

O presente artigo tem como objetivo identificar os principais efeitos da violência sofrida pelos professores no ambiente escolar, focando nas suas consequências físicas, psicológicas e profissionais. A metodologia da pesquisa consiste em revisão integrativa de literatura sobre a temática de interesse, realizadas por meio da análise de artigos científicos na base de dados Biblioteca Virtual de Saúde – BVS.Após a aplicação dos critérios de inclusão e exclusão, restaram seis artigos publicados em língapotuguesa nos últimos cinco anos. Observa-se que a violência contra professores no ambiente escolar compromete gravemente sua saúde física e mental, afetando seu desempenho profissional. Professores expostos à violência apresentam altos níveis de exaustão emocional, despersonalização, ansiedade e Síndrome de Burnout. A lacuna empírica na compreensão dessas influências destaca a necessidade de mais estudos sobre o tema. É fundamental o desenvolvimento de políticas e estratégias coletivas para valorizar e proteger os professores, envolvendo ativamente a comunidade na criação de um ambiente escolar seguro e saudável.
Cirurgia de redesignação sexual em mulheres e homens transexuais e possíveis complicações operatórias
Authors: Conceição Matheus Italo da , Sa Marcos Vinicios Alves de , Reis Beatriz Juliany Cavalcante , Cavalcante Bruna Juliany Ferreira , Pires Victoria Maia , Lima Mayara Alexandre , Labre Thiago Brilhante Pereira , Nascimento Ana Carolina Machado , Silva Maria Fernanda Bandeira da , Silva José Fernando Bandeira da , Oliveira Flávia Demartine Borges de , Martins Letícia Ribeiro de Souza , Silva Victória Cândido da
Published: July 2024

Introdução: A cirurgia de redesignação sexual, trata-se de uma cirurgia realizada no órgão sexual do paciente transexual, para trocar a genitália. Objetivo: Descrever sobre a cirurgia de redesignação sexual em homens e mulheres transexuais e as possíveis complicações operatórias. Método: A pesquisa é uma revisão integrativa, realizada com base na seguinte pergunta norteadora: Como é a cirurgia de redesignação sexual em homens e mulheres transexuais e suas possíveis complicações operatórias? Sendo utilizada a estratégia PICO, para a realização dessa pergunta, em que “p” população: Mulheres e homens transexuais que fizeram a cirurgia de resignação sexual, “I” interesse: Avaliação da cirurgia de resignação sexual e as possíveis complicações operatórias, e “C” e “O” contexto: Descrição da cirurgia de resignação sexual e as possíveis complicações operatórias. Utilizou-se a busca avançada por meio da Biblioteca Virtual em Saúde (BVS), cruzando os descritores por meio dos operadores booleanos “AND” e “OR”.   Resultados: Por meio da pesquisa avançada, obteve-se 88 artigos, dentre esses artigos 6 deles compõe esta pesquisa, o que resultou em duas categorias, sendo elas: Cirurgia de resignação sexual em mulheres transexuais e suas complicações operatórias; e cirurgia de resignação sexual em homens transexuais e suas complicações operatórias. Conclusão: Assim, diante do que foi abordado na pesquisa, observa-se que existe uma falta de artigos e pesquisas brasileiras sobre o assunto, pois os artigos utilizados para compor a discussão eram todos estrangeiros e estavam em inglês. É de suma importância a abordagem dos médicos e profissionais de saúde, que devem sanar todas as dúvidas sobre a operação a ser realizada, e qual o melhor método para utilizar.
On The Algebraic Properties of 3-Cyclic Refined Neutrosophic Matrices with Real Entries
Authors: Noor Noor ,   Baghdad University, College of Science, Baghdad, Iraq
Published: July 2024

The objective of this paper is to study some of the elementary algebraic properties of 3-cyclic refined neutrosophic matrices with real entries, where we study the algebraic structure of the multiplication operation and its properties such as associativity, commutativity, and the existence of algebraic multiplication inverse. Also, we illustrate many examples that explain the validity of our work.
On the practice of using polygraphs in the Investigative Committee of the Russian Federation in providing psychological support for the investigation of crimes and official activities
Authors: Бастрыкин А.И.
Published: July 2024

В статье анализируется практика использования полиграфа в деятельности следственных органов Следственного комитета Российской Федерации. Отмечены положительные примеры применения полиграфа в раскрытии и расследовании особо тяжких преступлений, в том числе преступлений прошлых лет.

The article analyses the practice of using a polygraph in the activities of the investigative bodies of the Investigative Committee of the Russian Federation. Positive examples of the use of polygraph in detection and investigation of especially grave crimes, including crimes of the past years are noted.
Current trends in economic crimes
Authors: Гончарова М.В. , Шиян В.И.
Published: July 2024

В современных условиях актуальную угрозу национальной безопасности Российской Федерации представляют преступления экономической направленности, поскольку экономические методы используются для достижения политических целей. Приоритетными сферами деятельности для этого вида преступлений стали финансовая, строительная, здравоохранение и социальное обеспечение, незаконный оборот древесины и пиломатериалов. На фоне общего снижения преступности значительно возросло количество преступлений экономической направленности, совершенных организованными группами или преступными сообществами (преступными организациями), которые широко используют достижения науки и техники. Цель исследования: на основе изучения норм уголовного законодательства, фундаментальных положений криминологии и статистических форм ФКУ «ГИАЦ МВД России» (№№ 491, 492 и 494 за период с 2018 по 2022 г.) дать оценку современному состоянию и тенденциям преступлений экономической направленности. Методы. В процессе исследования использовались общенаучные (системный анализ, синтез, индукция, дедукция, гипотеза, обобщение, системный подход, моделирование) и частнонаучные методы познания (статистический, математический, формально-юридический, сравнительно-правовой). Результаты.Обоснована актуальность противодействия преступлениям экономической направленности. С учетом современных тенденций преступлений экономической направленности обращено внимание на необходимость повышения интеллектуализации правоохранительной системы, совершенствования подготовки высококвалифицированных кадров и международного сотрудничества.

In modern conditions, economic crimes pose an urgent threat to the national security of the Russian Federation, since economic methods are used to achieve political goals. The priority areas of activity for this type of crime are financial, construction, health and social security, illegal trafficking of wood and lumber. Against the background of a general decrease in crime, the number of economic crimes committed by organized groups or criminal communities (criminal organizations) that widely use the achievements of science and technology has increased significantly. The purpose of research: based on the study of the norms of criminal law, the fundamental provisions of criminology and statistical reports, to assess the current state and trends of economic crimes. Methods. In the course of the research, general scientific (system analysis, synthesis, induction, deduction, hypothesis, generalization, system approach, modeling) and private scientific methods of cognition (statistical, mathematical, formal legal, comparative legal) were used. Results. The urgency of countering economic crimes is substantiated. Taking into account current trends in economic crimes, the authors draw attention to the need to increase the intellectualization of the law enforcement system, improve the training of highly qualified personnel and international cooperation.
On a differentiated approach to the assessment of evidence and its sufficiency in criminal proceedings
Authors: Кобзарев Ф.М. , Юдина Э.И.
Published: July 2024

В статье рассматриваются вопросы оценки доказательств на современном этапе развития уголовного судопроизводства. При этом особое внимание уделяется оценке достаточности доказательств в досудебном производстве и определяются пробелы правового регулирования этого свойства доказательств. Одновременно обосновывается необходимость и раскрывается содержание дифференцированного подхода к использованию понятия «достаточности» по отношению к доказательствам, и формулируются предложения по совершенствованию законодательства. В качестве вывода предлагаются авторские определения понятий «оценка доказательств» и «достаточность доказательств».

The article deals with the issues of evidence assessment at the current stage of development of criminal proceedings. Special attention is paid to the assessment of sufficiency of evidence in pre-trial proceedings and gaps in legal regulation of this property of evidence. At the same time, the necessity and contents of differentiated approach to the use of concept of sufficiency in relation to evidence is revealed, and proposals for legislative improvement are formulated. As a conclusion, the authors offer their own definitions of the concepts of assessment of evidence and sufficiency of evidence.
Explore the Innovative Path of Chemistry Teaching Based on the Subject Characteristics
Authors: Ren Fei
Published: July 2024

In today's society, the competition between countries is the competition of talent, so the country pays more and more attention to the cultivation of talent. Chemistry has a vital role in both production, life, and scientific research. In high school, students' contact with chemistry is gradually deepening, so it is an important stage to cultivate students' chemical literacy. However, there are still some problems in the current chemistry teaching. This paper analyzes the teaching characteristics of chemistry and the Core Literacy of Chemistry subject in detail. What's more, this paper shows that chemistry teaching has characteristics of attaching importance to experiments, making abstract knowledge intuitive, linking chemical knowledge with life, applying interdisciplinary methods, and keeping up with the trend of The Times. Chemistry teaching should take cultivating and developing students' chemistry core literacy as the core goal, and emphasize the understanding of the nature of science. Based on this, this paper puts forward the following suggestions, teachers can use the situational teaching method, experimental research method, or task-driven method to improve the existing three major problems in high school chemistry teaching and help to cultivate comprehensive, application-oriented, and innovative talents.
The Association Between Caffeine Intake and the Stroop Effect
Authors: Shao Jiahui
Published: July 2024

Caffeine consumption is closely related to different aspects of life. With different cultures and different routines, caffeine consumers will form their own habits of consumption. Inhibition control will be affected by caffeine consumption. It is an important executive function for human beings. The Stroop Effect is a classic cognitive phenomenon which exists from The Stroop Colour and Word Test (SCWT), to explore the interference between automatic and controlled processing of information. Caffeine as an attention enhancer, helps to increase the speed of making decisions and the rate of detecting stimuli. This review paper aims to investigate the potential correlation between caffeine intake and performance on the Stroop task. By reviewing the most recent research paper in this field, the impacts of caffeine consumption manipulating the Stroop task result were summarized and interpreted. The overall effect of caffeine intake on attentional control is supported by attentional control after caffeine intake, this includes the evidence of cognitive behaviour outcomes and neuroimaging. In addition, the overall effect depends on the dosage of caffeine intake, with different dosages, the test result will be significantly different. Results show that caffeine consumption will influence attentional control, mainly refleted by Reaction Time (RT), neuroimage and depends on the dosage. However, individual differences will highly affect the caffeine absorption. The outcome of this research will have implications for future research exploring the Stroop task performance help to evaluate the other sides of cognitive control, such as emotional control.
Analysis of the Strong Transmissibility of Sensationalism and Its Impact in Modern Media
Authors: Sun Shuaihang
Published: July 2024

In today's society, the media plays a crucial role in disseminating information and shaping public consciousness. However, sensationalism, characterized by sensational headlines and an excessive focus on vulgar content to attract readers' attention, is controversial due to its powerful transmissibility. This study aims to explore the reasons behind the strong transmissibility of sensationalism by analyzing the psychological, sociological, and communication mechanisms behind it, and to reveal its role and impact in the modern media environment. The findings suggest that sensationalism spreads rapidly mainly because it can stimulate people's curiosity and emotional responses, and the algorithm optimization of social media platforms makes it more likely to be promoted. Moreover, a general lack of media literacy in society also provides fertile ground for the spread of sensationalism. Although sensationalism may temporarily increase click-through and viewership rates, its long-term negative impact on social morality, public trust, and media image cannot be ignored. Therefore, enhancing public media literacy, strengthening the professional ethics education of journalists, and optimizing social media algorithms to reduce the promotion of sensationalism are crucial for building a healthy media environment.
Exploring the Contradiction Between Convenience and Privacy in Balanced Recommendation System
Authors: Xi Yufan
Published: July 2024

Not only does the widespread use of recommendation systems provide consumers with a convenient experience, but it also raises the possibility of a breach of their privacy. As a result, this research makes use of a questionnaire survey to investigate the problem of privacy disclosure and investigate different approaches that can be utilized to resolve the conflict that exists between convenience and privacy. This research investigates the causes from three different points of view: the inadequacy of rules and regulations, variances in the cognitive capacities of customers, and the misuse of data. In addition, the report proposes actions that can be taken to enhance legislation and regulations, improve the cognitive capacity of customers, and prevent the misuse of data. It is beneficial for the maintenance of society harmony and stability to provide assistance to consumers, corporations, and governments in the management of the tension between being convenient and keeping privacy.
Interpretation of School Bullying of Middle School Students: A Study on the Path of Collaborative Education
Authors: Wang Yihan
Published: July 2024

This paper reviews previous literature to explore the current situation and causes of school bullying among middle school students. This paper concludes that the main reason for school bullying is the unstable psychological state of adolescents, low level of family education, lack of school attention, and the adverse effects of the internet society. To better solve the problems of the epidemic of school bullying, this paper also proposes a theory of family-school-community collaborative education. Multiple prevention and intervention measures are put forward. Parents should improve their education methods and also behave themselves to set up a good example for their kids. Schools should establish a safety system to deal with school bullying cases and students' mental problems, teachers should also strive to increase students' sense of belonging to school. The government should improve the supervision of the Internet, crack down on bad games and cyberbullying, and the whole society should also advocate a harmonious society and put an end to school bullying.
Application of ELO algorithm in migration of marriage matching
Authors: Zhou Tianyi
Published: July 2024

In this work, we mainly explore the application of the ELO algorithm in the marriage and marriage matching algorithm. With the rapid development of network communication technology, more and more people have begun to choose marriage and love on the internet, and various marriage and love applications are also emerging one after another. We will elaborate on the advantages of the ELO algorithm by comparing the ELO algorithm with the Gale Shapley algorithm mainly used in the current dating market. The high accuracy and absolute objectivity of the ELO algorithm effectively avoid the pairing generated by subjective will in the pairing of big data population, which is conducive to long-term development and communication, and also meets the requirements of ethics of both sexes from a scientific perspective. Today, with the gradual expansion of the marriage market, the simplicity of Gale Shapleys algorithm makes matching inefficient and poor. We demonstrate the comprehensiveness of the ELO algorithm in detail through mathematical methods such as hierarchical formula and finally get the interactive application in the software.
Inferring the latent low-dimensional structure of unknown neural dynamics with standard Gaussian-Process Factor Analysis framework
Authors: Xu Tiancheng
Published: July 2024

Gaussian-Process Factor Analysis (GPFA) is a useful method to discover the unknown dynamics of neural activities. Currently, there are a lot of studies based on the GPFA model. However, many of the existing GPFA models are specially for a specific situation, and they are no longer effective in other conditions. This paper aims to solve this problem by proposing a GPFA framework based on the standard GPFA model which can be applied to any neural dynamics with unknown latent structure. This framework also provides an idea to determine the latent dimension by using cross-validation. This framework will first be used on the synthetic data created by a generative model, to test two different ways of reproducing the spike train and check its utility. After that, it will be applied to real neural data recorded from anesthetized macaque monkeys. The framework shows a good result on the synthetic data. And its performance on the real neural data suggests that it still has some space to be improved. Discussion of the result will mainly focus on the potential approach to improve the frameworks accuracy.
Analysis of different implementations of bigdata techniques in consumer behaviour
Authors: Wang Haozhe
Published: July 2024

As a matter of fact, consumer behaviour analysis plays a key role in sales strategy designs in recent years. Thanks to the rapid development of data analysis techniques as well as machine learning schemes, it is available to analyse the data collected in daily life to realize the consumer behaviour analysis (e.g., prediction, judgement). With this in mind, this study will select some of the specific cases with different models to discuss the implementation way. According to the analysis, the performances for the different models in different situations are discussed. At the same time, the current limitations for different applications as well as analysis pattern are clarified as well as evaluated based on the analysis. In the meantime, the prospects for the further study are demonstrated. Overall, these results shed light on guiding further exploration of implementation the big data analysis techniques as well as machine learning scenarios in consumer behaviour.
Analysis and prediction of factors influencing the hotness of Weibo trending keywords
Authors: Chen Yuquan
Published: July 2024

This study is a data analysis project based on Weibos trending search data. It selected over 350,000 pieces of data from January 1, 2021, to July 31, 2023, for analysis. In this study, we explore the various factors that impact the hotness of lWeibo trending keywords. By conducting a thorough analysis of these factors, we aim to gain a deeper understanding of the dynamics that drive certain keywords to become hot topics. Through this analysis, we aim to establish patterns and correlations between different variables that contribute to the hotness of a keyword. Furthermore, we intend to develop predictive models that can forecast the potential hotness of keywords based on these factors, providing valuable insights for content creators, marketers, and social media analysts.
Heart disease exploration and prediction using data mining technique
Authors: Ni Peien
Published: July 2024

In recent years, the incidence rate of various types of heart disease is increasing, so more and more studies focus on the influencing factors and prediction of heart disease. This paper investigates the relationship between heart disease and 21 representative variables to explore risk factors and predict the heart attack. First, through comparative analysis, we find that there is a significant difference in the distribution of variables. The findings highlight factors associated with heart disease, such as underlying diseases, lifestyle habits, and medical conditions. Secondly, these four factors (health condition, environment, age, and BMI) are extracted through factor analysis. Thirdly, a binary logistic regression prediction model is established to study the relationship between variables. Finally, the combination of multiple analysis methods in this study is a novel approach that can be used for exploring heart disease factors and predicting disease onset.
Research on the applicability of suicide tweet detection algorithms
Authors: Cai Shuyu , Jung Hyundo , Liu Jiaqi , Liu Weikang
Published: July 2024

The prevalence of social media has risen dramatically, making it a crucial platform for understanding public health issues, including the expression of suicidal behavior. This study explores the feasibility of utilizing Natural Language Processing (NLP) methods to detect suicidal tendencies through Twitter posts. We employed various advanced NLP models, such as Logistic Regression (LR) and Bidirectional Encoder Representations from Transformers (BERT), to analyze the linguistic patterns and semantic nuances inherent in tweets. Our approach also included a Majority Vote system and Term Frequency-Inverse Document Frequency (TF-IDF) techniques to enhance the detection accuracy. The objective was to develop an effective model capable of early identification of potential suicide risks, which could be crucial for timely intervention and support. This research not only contributes to the field of digital mental health monitoring but also offers insights into the potential of machine learning in addressing critical societal issues. The findings suggest that while current NLP models show promise, there are complexities and ethical considerations in applying these technologies for sensitive topics like suicide detection. The study underscores the need for continuous refinement of these models and highlights the importance of integrating human judgment in the final decision-making process.
Stock price forecasting by ARIMA, linear regression, LSTM and decomposition linear models
Authors: Wang Chenyu
Published: July 2024

Stock price forecasting has piqued the interest of academics studying finance and economics since it is a challenging but critical task for investors in financial markets. A variety of methods has been deployed, attempting to extract useful information to tackle the prediction problem. This paper presents rigorous research on the task of predicting the next-day price of Tesla stock by its past prices. A variety of methods are tested, including the long short-term memory (LSTM), the neural network model (NN), the autoregressive integrated moving average model (ARIMA), and the decomposition linear model (DL). The result is measured with mean absolute error (MAE). As shown in the experimentation result, the MAE of the ARIMA model is 7.2400, the MAE of the neural network is 5.8770, the MAE of the LSTM model is 6.8390 and the MAE of the decomposition model is 5.5890. The result suggests that the DL model performs the best in terms of MAE.
The future development direction of natural language processing from the perspective of text emotion analysis
Authors: Chen Jie , Wang Zicheng
Published: July 2024

The development of natural language processing is significant for text emotion analysis because it helps to understand the expression of human emotions in different contexts and provides more accurate semantic understanding and emotion recognition capabilities for intelligent systems. In current natural language processing, sentiment analysis has become a key research field, and it is devoted to developing more accurate and efficient sentiment recognition models to adapt to the growing data scale and semantic complexity. This paper focuses on an overview of contemporary text emotion analysis technology and looks forward to the future development of natural language processing. This paper makes a detailed comparative analysis of the efficiency of different emotion analysis methods from the perspectives of key length, research content, research methods, and results. In the review, the advantages and limitations of various emotion analysis methods will be discussed in detail, including transformer-based and a series of the latest technologies. In addition, the performance differences of different methods of processing large-scale text data will be analyzed in-depth, and their performance in practical applications will be comprehensively evaluated. Finally, the research will discuss the possible future direction of natural language processing in emotion analysis in combination with current research trends and technology development trends to provide helpful enlightenment and guidance for researchers and practitioners in this field.
Machine learning insights into digital payment behaviors and fraud prediction
Authors: Zhang Xu
Published: July 2024

With the continuous advancement of digital transformation, digital payments are playing an increasingly important role in the financial industry. This study aims to utilize machine learning models to predict and analyze digital payment behavior. Initially, the background and significance of digital payments in the financial sector are introduced. Subsequently, the current status and trends of traditional digital payment distribution are reviewed, alongside related work on digital payment behavior prediction. Methodologically, principles and applications of machine learning models such as logistic regression, decision trees, and random forests are elaborated, along with experimental design and data preprocessing methods. The experimental results and discussion section illustrates the performance of each model in digital payment prediction and explores their impact on credit decisions. This exploration equips financial institutions with more effective user behavior analysis and risk management tools, thereby fostering future development and application of digital payment technologies.
Overcoming cross-language communication barriers with speech recognition technology
Authors: Dai Run Qi
Published: July 2024

The purpose of this study is to explore the use of speech recognition technology in addressing communication and language barriers between individuals from different geographical locations. Through a case study, this paper collects data from a variety of sources to demonstrate the effectiveness of speech recognition technology in enhancing cross-cultural communication. The findings show that speech recognition technology can greatly improve communication, reduce misunderstandings, and ultimately promote understanding and cooperation between individuals from different regions. This technology can help people overcome language barriers and achieve more fluent communication. In addition, speech recognition technology can improve people's productivity as it can quickly convert spoken language into written text.Speech recognition technology also has a wide range of applications in cross-cultural communication. It can be used in various fields such as business, tourism, education and healthcare. By using speech recognition technology, differences between cultures can be better understood and respected, leading to more harmonious social relationships.
The influence of Distributed BFS algorithms in reducing the computational complexity
Authors: Wang Jinge
Published: July 2024

Breadth-first search (BFS) is a cornerstone of algorithmic algorithms for complex graphs. In the worst case, BFS's linear complexity is determined by the number of edges and vertices, yet a recently discovered bottom-up method can reduce this complexity to the number of vertices in the best-case scenario, which is usually much less than the number of edges. The conventional top-down approach, however, always takes the same amount of time as the lowest case. To determine the direction, directional algorithms combine top-down and bottom-up methods, adapting between them as the boundary expands. Although bottom-up methods are not always the best option, their use in combination with top-down methods produces efficient algorithms. The main focus of this research is to improve search efficiency and reduce complexity by implementing a version of top-down algorithm optimisation. A scalable distributed-memory parallelisation technique is presented in this study, which has achieved speedups that are ten times faster than the previous purely toplevel approach. In previous studies, it has been demonstrated that this technique is superior to a 1D decomposition method.
A case study on the development of requirements for the comprehensive credits management system project at H University
Authors: Li Zhengyang
Published: July 2024

Nowadays, in order to adapt to informatization and enhance management efficiency, universities have an increasing demand for the development of management systems. This paper conducts an in-depth study on the case of requirements development for the comprehensive credit management system project at H University. Taking the problems existing in software project requirements development management as a starting point, this paper analyzes and researches the issues in requirements acquisition, requirements analysis, and requirements development management processes of the current project development team through the study of relevant theoretical content on requirements development. The paper proposes solutions to problems such as inaccurate identification of software project stakeholders, lack of scientific requirements analysis tools, and absence of prioritization in requirements. Through analysis, this paper, by drawing stakeholder maps and utilizing the KANO model for prioritizing project requirements, ultimately formulates an effective requirements development management solution tailored to the software project of the development team for this particular project.
Enhancing COVID-19 detection through integrated CNN-LSTM models: Addressing the challenge of varied radiological presentations
Authors: Hsu Emily
Published: July 2024

In an era where COVID-19's varied radiological presentations challenge diagnostic precision, this paper introduces a novel fusion of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models to refine detection capabilities. The paper capitalizes on an expansive radiography database, utilizing lung segmentation and data augmentation to bolster the training set. Advanced CNN models extract salient features, which are then classified through meticulously optimized machine learning algorithms. The synergy between diverse CNN architectures and Bayesian Optimization markedly enhances hyperparameter tuning, culminating in a significant uplift in diagnostic accuracy. The integration of LSTM models further allows for nuanced severity assessments, paving the way for more personalized and effective pandemic management. This research heralds a new frontier in medical diagnostics, promising a leap in the accuracy of pandemic detection.
Pengembangan Media Pembelajaran berbasis Flash Card untuk Meningkatkan Hasil belajar Siswa Kelas V
Authors: Supriyaddin Supriyaddin , Hasan Hasan , Budiman Budiman , Rahman Arif
Published: July 2024

This research is motivated by the limited use of learning media which reduces the effectiveness of learning in class, so that students do not understand the material. This research offers the development of new media in the form of flash cards that are appropriate to the concrete operational stage, with the aim of improving student learning outcomes. The aim of this research is to test the validity, practicality and effectiveness of flash card media on the learning outcomes of class V students at Madrasah Ibtidaiyah (MI) Al-Mujahidin. This research uses research and development methods with the ADDIE model. Data collection techniques include interviews, observation, tests, and documentation. Data analysis techniques include analysis of validity, practicality and media effectiveness. Validation results by two experts show that learning media has a validity level of 87% (very valid). The practicality of flash card media reaches 93% (very practical). Students' cognitive learning results show a classical completion level of 91%. In the affective aspect, 24% of students were in the "Very Good" category, 64% in the "Good" category, and 9% in the "Quite Good" category. In the psychomotor aspect, 67% of students were in the "Good" category and 36% were in the "Fairly Good" category.
MÜSİLAJ TEMASI SONRASI STREPTOCOCCUS PYOGENES İLE GELİŞEN YUMUŞAK DOKU ENFEKSİYONU
Authors: Çağlar Yeşim , Öksüzoğlu Muhammet
Published: July 2024

Küresel ısınma etkisiyle, deniz bitkilerinin salgıladıkları organik maddelerden müsilaj oluşmaktadır. Müsilajın bazı patojen bakterileri konsantre etme özelliği bulunmaktadır ve bol miktarda bakteri ve virüs barındırmaktadır. Streptococcus pyogenes ve Streptococcus agalactiae için hayvanlar taşıyıcı olmasa bile ters-zoonoz olarak etkeni taşıyabilmektedir. Grup A Streptokoklar (GAS); yumuşak doku enfeksiyonlarına neden olmaktadır. İnsanlarda doğrudan nekrotizan fasiite sebep olan etkenlerin yanı sıra, evcil hayvanlar ve bazı su canlılarından insanlara bulaşan ve nekrotize fasiite sebep olan zoonoz karakterli etkenler de mevcuttur. Bu raporda; müsilaj teması sonrası S. pyogenes enfeksiyonu gelişen ve seyrinde hipoestezi gözlenen bir olgu sunulmuştur.
Enhancing wind power conversion efficiency with Vernier DSPM generator and sliding mode control
Authors: Redouane Abderrahmane , Saou Rachid , Guerroudj Cherif , Oukaour Amrane
Published: July 2024

To enhance the efficiency of wind power conversion systems, a DC conversion system that combines a wind turbine with a battery is introduced in this paper. The Vernier Doubly Salient Permanent Magnet (V-DSPM) generator at the center of this system, designed for low speeds and high torque, eliminates the need for troublesome gearboxes. The proposed control employs MPPT based on tip speed ratio with output as the reference current of the boost converter and a sliding mode control-based Gao’s constant plus proportional rate reaching law to track the reference current. Three tests were performed to determine the efficiency of the proposed strategy. Moreover, a comparison with a conventional PI controller was carried out. The simulations were performed using MATLAB and Simulink. The obtained results show that the system with SMC has better performance than the system with PI.
Isolation and Characterization of a Diesel-degrading Bacterium from Waters Near the Langkawi UNESCO Kilim Karst Geoforest Park
Authors: Sabullah Mohd Khalizan , Yakasai Hafeez Muhammad , Manogaran Motharasan , Shukor Mohd Yunus
Published: July 2024

This study explored the biodegradation potential of bacterial isolates from various locations in Malaysia, focusing on their ability to utilize diesel as a carbon source. Among the ten isolates tested, Isolate 4, identified as Pseudomonas sp. strain UPM-Langkawi 3 based on morphological, cultural, and biochemical properties, exhibited significant growth on 2.5% diesel, indicating rapid activation of diesel assimilation mechanisms. Using ABIS online software analysis, the strain was provisionally identified as Pseudomonas sp. UPM-Langkawi 3. Experimental results demonstrated that the optimal conditions for the growth of strain UPM-Langkawi 3 were between 6 and 8 % (v/v) diesel concentration, a temperature of between 28 and 35 °C, and a pH range of between 7.5 to 8.5. The strain showed inhibited growth at higher diesel concentrations and temperatures above 40°C and at a lower pH of 5.7. Among several inorganic nitrogen sources tested, 0.9% w/v ammonium sulphate was found to be the most effective, corroborating previous research. The study underscores the efficacy of Pseudomonas sp. strain UPM-Langkawi 3 in degrading diesel, suggesting its potential use in bioremediation of diesel-contaminated environments. Further research should employ molecular identification techniques, such as 16srRNA gene sequencing, to confirm the species identity and optimize biodegradation conditions. This work establishes a foundation for utilizing indigenous bacterial strains in environmental management strategies, particularly for areas impacted by hydrocarbon pollutants.
CONFLITO ISRAEL-PALESTINA SOB AS LENTES DA GEOGRAFIA ESCOLAR
Authors: Ladeira Francisco Fernandes
Published: July 2024

No final de 2023, os ataques realizados por grupos palestinos, comandados pelo Hamas, no sul de Israel, e a posterior reação do Estado de Israel, foram os principais assuntos da agenda pública global. No Brasil, a geopolítica palestina movimentou os noticiários internacionais da grande imprensa, as conversações cotidianas e as redes sociais. Diante dessa realidade, este artigo apresenta uma proposta de análise sobre o conflito Israel-Palestina a partir dos conhecimentos, conteúdos e conceitos trabalhados no ensino de Geografia na educação básica. Como procedimento metodológico, adotou-se a “revisão bibliográfica”, a partir de estudos que abordam conceitos e conteúdos trabalhados na Geografia Escolar. Apesar de a Geografia não esgotar as possibilidades de se compreender a geopolítica palestina (haja vista que outras disciplinas presentes na matriz curricular também podem contribuir para o debate), consideramos que este campo do conhecimento oferece um importante referencial teórico para as discussões sobre questões-chave da geopolítica palestina, como o expansionismo territorial israelense e a aspiração do povo palestino em formar seu próprio Estado Nacional.
PALAVRAS-CHAVE: Território; Sionismo; Estado Nacional; Povo; Discursos.
Problems of the historical past in Japan’s relations with the countries of Asia: Reconciliation attempts
Authors: Grishachev S. V.
Published: July 2024

In this article, the author analyzes the post-war development of relations between Japan and Asian countries. This work tracks correlation between sustainable development of economic and political relations, on one hand, and gradual decrease of tension connected with the issues of historical past in the second part of the 20th century, on the other hand.

The article addresses the issue of post-war relations between Japan and other Asian countries (PRC, Korea, Taiwan), as well as Southeast Asian countries (mainly Singapore, Indonesia). Besides, special attention is paid to the issues of historical memory related to the Japanese occupation of Indonesia and its consequences, specifically to the problem of the historical grievances of Dutch people towards Japan and the problem of children born to men from the Japanese military and local women.

In the 1980s, the mothers of these children and the children themselves started visiting Japan. The visits were financed by the Ministry of Foreign Affairs of Japan and included official meetings. At approximately the same time, the first trips for former Dutch POWs and those who had been forcibly conscripted to work in Japan were held. In the memorial places these people visited, memorial signs and steles were installed, which symbolized reconciliation on issues of historical memory.

Traumatic experience produced by certain historical events is not the only issue here. Development of international ties after these events is also an important factor. The possibility of reconciliation or even overcoming such problems often depends on how positively and mutually beneficially such relations develop afterwards. Over time, especially as generations change and emotions connected with these traumatic events calm down, we can see preconditions for compromises and reconciliation. On the other hand, as tension between nations increases, the number of mutual claims is also increasing. If relations develop smoothly, especially if this process goes on for several generations, any offence or claim might be left behind and memory of it might even become a source of reconciliation.
Master and disciple in Konjaku Monogatari-shū
Authors: Babkova M. V. , Kolyada M. S.
Published: July 2024

The paper considers the theme of tutorship, which is one of the cross-cutting issues in Konjaku Monogatari-shū, a 12th century collection of setsuwa didactic tales. The authors reveal what types of tales are chosen for the collection and in which manner they are recited, from the legends about Buddha Shakyamuni himself to the stories of common laity skilled in some art. Buddha Shakyamuni himself, the teacher of all teachers, also studies, and, at the same time, his teachers act as his students, which shows the continuity and infinity of the chain of interdependent emergence of things. Buddha sets an example for all other teachers in that his whole life is mentoring. He helps everyone with whom he interacts to get rid of illusions, even in those moments when he is not directly interpreting his teachings. In all tales, the relations of a master and his disciple are seen as conditioned by the law of retribution, they are very close and intimate; the two people must be congenial in talents and needs to be in such relations, be it in the area of transmitting the Buddhist Law, or merely training in some art. The theme of continuity of tradition, transmission of Buddha’s teaching is very important for Konjaku. It is discussed from different points of view in all three sections of collection – the Indian, Chinese, and Japanese ones. The timeless chain of masters and disciples is formed, and every participant – a link of this chain – should be ready to receive the Law, to become a disciple and, in time, a master. Following the pattern set by Buddha, in some tales, a master and a disciple can exchange their roles, in other ones, the disciple is not a person, but a whole nation. There are also stories about a supernatural being, for instance, a ghost or a god, becoming a teacher. In some cases, the disciple is a character assigned to display wisdom of his master. The ways in which wisdom is imparted can also vary widely, with some stories specifically emphasizing the unexpected actions of mentors, through which their students experience first-hand what they had previously been unable to understand through the efforts of mind. Personal aspects of master–disciple communication are also examined in Konjaku, and examples of bad relationships are provided as well.
The archaeological direction in Japanese studies in Russia: Development, peculiarities, personal experience
Authors: Tabarev A. V.
Published: July 2024

The archaeological direction in the Japanese studies in Russia originated at the end of the 19th century on the basis of the first trips and acquaintance with the antiquities of Japan (M.I. Venyukov, A.V. Grigoriev, I.S. Polyakov, D.M. Pozdneev), and transformed into an original direction in the Soviet period. The fruitful dialogue between Russian and Japanese archaeologists is largely due to both the territorial proximity and common roots of ancient cultures, starting from the Stone Age, as well as mutual interest in the archaeology of the Pacific basin as a whole. Since the early 1960s, one of the leading roles in this collaboration is played by the Novosibirsk Scientific Center (Institute of History, Philology and Philosophy, Siberian Branch of the Academy of Sciences of the USSR, Faculty of Humanities of NSU) and such specialists as A.P. Okladnikov, A.P. Derevyanko, R.S. Vasilevsky, and V.E. Larichev. In the first post-Soviet decade, there was a transition to new formats – long-term joint projects and archaeological expeditions, which are carried out on the basis of bilateral agreements between research organizations in Japan and Russian institutes (universities, museums) from a number of cities in Siberia and the Russian Far East. Cooperation reached its peak in 2007/8–2019, enjoying the support of Russian (RSFH, RFBR, RSF) and Japanese scientific foundations, and was implemented in a variety of formats (projects, exchanges, internships, symposiums, exhibitions, publications, etc.) and in a variety of geographical areas, both in Russia and Japan, as well as third countries – in Central Asia (Mongolia) and South America (Ecuador). One of the striking examples of such interaction is the fruitful cooperation of the Division of Foreign Archaeology (Institute of Archaeology and Ethnography SB RAS, Novosibirsk) and the Laboratory of Archaeology (Tohoku University, Sendai), resulting in a large number of publications in leading scientific journals and several dissertation studies on the Jomon and Kofun periods.
Physiotherapy Assistance for Patients Using Human Pose Estimation With Raspberry Pi
Authors: Dudekula Khasim Vali , Mukkoti Maruthi Venkata Chalapathi , Yellapragada Venkata Pavan Kumar , Kasaraneni Purna Prakash , Challa Pradeep Reddy , Gangishetty Dhiren , Solanki Manaswita , Singhu Rohith
Published: July 2024

In this work, we employed a device that utilizes Raspberry Pi 4, a camcorder constituent, and a set of audio apparatus to provide real-time assistance to patients during rehabilitation exercises. A person’s lifestyle and physical activity explicitly influence their cerebral health. Exercise routines are crucial for maintaining a proper hormone level and physical fitness. Therefore, the workout routine must be constantly examined and adjusted if any changes are needed. With the help of this device, patients may perform their exercises without a physiotherapist. A physiotherapist can show how to perform the exercises during the first few appointments; after that, the patient can utilize the system to track their routines. This will prevent injuries caused by performing exercises inaccurately when not under the guidance of a medical practitioner. The device monitors how frequently a certain exercise is performed and guides the patient in performing the exercises correctly, promoting quicker recovery. The voice generated also helps the patients analyze and correct the exercises if needed. When detecting a slump, an alarm is triggered to alert the individual. We focused on human pose detection using the OpenCV and MediaPipe libraries to capture and dissect in real-time accurately. OpenCV and MediaPipe libraries were used to capture and detect poses accurately in real time.