bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on key technologies of railway station codification digital twin
Authors: Zhang Yizhi
Published: August 2024

According to the requirements of railway transportation, to ensure that locomotives can receive frequency-shifted signal information through the track within the station, the track circuits must be codified. Due to the increased speed of train operations, braking has become more challenging, increasing the possibility of running a red signal compared to the present. Therefore, it is imperative to implement pre-overlay codification technology and equipment suitable for use in speed-enhanced sections. As the pre-overlay coding method must be adopted, it requires the isolation components in the interface equipment to have "fault-safe" performance. When the isolation component fails, the current or voltage introduced into the parallel track relay must not cause malfunction. Therefore, ensuring that the current and voltage of each component in the codified track meet the requirements is crucial. This research aims to establish a circuit simulation model based on MATLAB Simulink to achieve dynamic simulation of the pre-overlay ZPW-2000 codification circuit diagram of the 25Hz phase-sensitive track circuit in the electrified section. Through this model, the electrical characteristic indicators such as current, voltage, and waveform of each component on the circuit can be observed in real-time. This helps optimize the design and maintenance of the railway signal system, improving the safety and efficiency of train operations and contributing to the establishment of a digital twin model for the entire railway system's signal system.
Research on probabilistic analysis of trapezoidal triangle truss
Authors: Sun Shikuan
Published: August 2024

As a region affected by the Mongolian Siberian high-pressure system, the Northeast area of China faces extreme low temperatures and snowy weather in winter, which poses a high demand for local energy. As a relatively mature sustainable energy source, laying solar photovoltaic panels on the roofs of residential buildings relied on sufficient local sunlight resources has become a feasible measure. From the perspective of engineering safety, this paper studies the stability of a single span double slope roof steel truss with added solar photovoltaic panels under snow loads. First, the types of loads on the truss are analyzed, assuming the distribution of the load and capacity of any member in the truss structure. Then, Monte Carlo algorithm is used to simulate the failure probability, and finally the failure probability of the member as well as the overall structure is obtained. As a conclusion, this paper finds that the stability of this structure is basically not affected by the above factors, and this provides certain reference significance for balancing safety and economic benefits in practical engineering design.
Stock price prediction using LSTM neural networks: Techniques and applications
Authors: Wang Zian
Published: August 2024

The prediction of stock prices has garnered significant attention due to the potential financial gains and complex questions involved. This paper elaborates a comparison between the Long Short-Term Memory (LSTM) model, optimised using the early-stopping method, and the conventional mathematical method Autoregressive Integrated Moving Average Model(ARIMA), which is conducted using the S&P500 from 2022, May 01 to 2024, May 01. The results indicate that the LSTM surpasses ARIMA. To be more specific, LSTM achieves a 92% reduction in error rates compared to ARIMA. In addition, when the optimised LSTM is implemented in 6 different stocks, the results indicate a negative correlation between the volatility and accuracy of the stocks. This study demonstrates the advantages of optimised LSTM for predicting stock prices, and the importance of market volatility as a crucial aspect that significantly impacts the accuracy of stock price forecast.
CSIP: Contrastive learning with Graph Neural Network enables chemical structure to image mapping
Authors: Liu Leo
Published: August 2024

The development of advanced AI has been transforming the biomedical field. The emergence of multi-modal biomedical data such as imaging, sequencing, and other omics data further enabled the training of AI models for complex analytical tasks. However, such data analysis remains challenging due to the difficulty of integrating information from different modalities. In this paper, we aim to address this challenge by proposing a methodology to integrate image and molecular structure data. We present the Contrastive Structure-to-Image Pretraining (CSIP) framework, which leverages a self-supervised Graph Neural Network (GNN) to encode molecules and images into a joint feature embedding space. This direct mapping between the two modalities enables a wide variety of applications, including image profiling and clustering of molecules based on their effects on cell morphology. Image profiles generated by CSIP archived an average AUC of 0.708 on various biological activity prediction tasks, rivalling the state-of-the-arts and outperforming some fully supervised methodologies. Further, CSIP improved the accuracy of image-molecule matching by 29-folds from the random baseline after being trained on a small dataset, which demonstrated data efficiency. The code to reproduce our results can be found at https://github.com/LeoL18/CSIP.
Leveraging AI and machine learning for ESG data analysis and sustainable investment decision-making
Authors: Zeng Xiaolong , Zheng Li , Cui Chenyang
Published: August 2024

AI and ML may be used to process large amounts of ESG data to assess the sustainability of a company as well as its ability to generate financial returns. We are exploring the disruptive approach to processing ESG data with applications of AI and ML and will focus on building predictive models using ESG factors for both sustainability and investment performance. The data used in this research will be collected from a wide range of public and private sources. Supervised and unsupervised learning based on downsampling, feature scaling and binning methods will be used to process ESG data. We will also investigate the potential to apply various types of ensemble models, which provide a significant improvement in terms of model robustness and accuracy. Additionally, the paper presents case studies illustrating how demonstrable data enable us to explore causality among financial performance and sustainability factors in the sectors where ESG is of paramount importance. The aim of this approach behind digital transformation of ESG data is to help investors extract deeper financial implications for ESG factors, particularly for building long-term financial returns as well as for making more informed and sustainable investment decisions.
Integrating Task-Based and Differentiated Instruction (DI) to Overcome Language Learning Challenges
Authors: Putri I Gusti Ayu Vina Widiadnya , Winarta Ida Bagus Gde Nova , Putra I Gusti Bagus Wahyu Nugraha
Published: August 2024

This research aims to overcome language learning difficulties faced by students with special needs by applying a task-based approach and differentiated learning (DI). Qualitative methods are used in analyzing data. The research took place at a special school at SLB Negeri 2 Denpasar. SLB Negeri 2 Denpasar is a special school for children with hearing impairments. In this remarkable school, students would learn to communicate by reading the movements of their lips. Primary data in this research refers to the exact information obtained from student grades and academic tests. The treatment is modified according to the children's cognitive capacities. The results showed that task-based and differentiated learning (DI) are effective techniques in supporting students with special needs. High school students with special needs require a different type of parental guidance. Students with special needs can receive learning support by limiting choices and guiding choices. Providing autonomy for students to engage in task-based learning can facilitate higher student learning.
Connecting the green to the digital: Integrating Eco Cities and Smart Regions
Authors: Bauermann Bárbara F. C. , Bussador Alessandra , B. Bauermann Henrique , D. Matrakas Miguel
Published: August 2024

This article explores the integration of Eco Cities and Smart Regions to create sustainable and innovative urban environments. Eco Cities focus on environmental sustainability through renewable energy, waste management, and green infrastructure, aiming to reduce ecological footprints and promote healthy lifestyles. Smart Regions, on the other hand, utilize advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics to enhance public service efficiency, optimize resource use, and foster economic development. The study highlights how combining these two approaches can lead to significant benefits, including improved operational efficiency, better quality of life, environmental resilience, and active citizen participation. Case studies of cities like Copenhagen and Singapore demonstrate successful integration, showcasing achievements in sustainability and technological innovation. The article also identifies the main challenges in this integration, including technical compatibility, cybersecurity risks, high initial investments, digital inequality, and the need for robust governance frameworks. Overcoming these challenges requires collaborative efforts among governments, private sectors, and civil society, as well as innovative financing strategies and capacity-building programs. Future considerations emphasize the need for a holistic approach to urban planning that incorporates emerging technologies, flexible and adaptive strategies, and inclusive citizen engagement. By addressing these factors, cities and regions can become more resilient, sustainable, and inclusive, meeting the needs of both current and future generations. This integrated approach promises to transform urban environments into hubs of sustainability and innovation, driving long-term positive outcomes for society and the environment.
Carers and higher education: Where next?
Authors: Larkin Mary , Kubiak Chris
Published: August 2024

Although widening access policies have led to greater prioritisation of carers in higher education, strategies to address their needs remain underdeveloped. This paper puts forward a dual approach to progressing this agenda that recognises all students who have or have had experience
of caring. Using an established theoretical lens on retention, institutional strategies for improving the success of carers studying in higher education are proposed. These strategies include flexible study programmes; affordances for social engagement; recognising carers' unique career trajectories:
providing financial aid and advice; and establishing systems to identify student carers. The second element of the dual approach focuses on improving and extending the currently very limited evidence base on carers and higher education so that it can underpin and progress the development of
effective strategies and initiatives. Central to this is the universal adoption of the term 'caring-experienced students'; local and national student carer registration and record-keeping systems; sensitivity to differences within the caring-experienced student population; adoption of a strengths-based
framing of caring-experienced students; and establishing knowledge exchange mechanisms to share new knowledge. The analysis presented aims to stimulate thinking and serves as a timely steer for further debate about carers' participation and retention in higher education.
Multi-functional trait-based species selection for regenerating tropical rainforests
Authors: Lindh Arvid
Published: August 2024

Forests are key sources of renewable materials needed to transition into a bio-based economy free from fossil-based resources. Tropical forests are especially important due to their large land area and high growth potential. However, tropical forests are under pressure from both climate and land-use changes that reduce ecosystem function. As a response, forest restoration efforts have increased and key aspects to ensure their success include tree species selection and understanding how management alters forested landscapes. In this thesis, I discuss current framing of tropical forest categorization and present a conceptual model that emphasizes management-driven transitions of forests between states (Paper I). Furthermore, I explore how functional-trait variation in tree species native to Borneo correlates with different values and ecosystem services that restoration may need to consider to support a bio-based economy, specifically financial potential (Paper II), conservation of beetle diversity (Paper III), and leaf litter decomposition in a changing climate (Paper IV). Financial potential was found to be linked with low leaf-nutrient content, pH, and specific leaf area, and harvesting of native tree species grown using restoration methods were found to be a potentially viable management option (Paper II). Specific leaf area and leaf area were important in supporting total beetle diversity, but predators and fungivores were related to separate suites of traits (Paper III). Finally, an interactive effect between precipitation frequency (rarely reported) and volume on mass loss was identified, where reductions in either variable lowered mass loss from decomposition (Paper IV). While high nutrient content and pH, and low lignin and tannin content, were correlated with high mass loss, no change in trait-decomposition links between climate scenarios was found. This thesis concludes that while it seems possible to find tree species with disproportionately high ecosystem value, no single trait combination can provide every ecosystem service. Thus, promoting tree species with complementary trait compositions should be prioritized.
Sporadic Frontotemporal Dementia
Authors:   , de Boer Sterre Catharina Maria
Published: August 2024

Research on the early diagnosis and prognosis of the more common sporadic, non-familial form of FTD is currently insufficient. This causes diagnostic delays and an incomplete understanding of its etiology, hindering the inclusion of sporadic FTD patients in clinical trials. It is crucial sporadic FTD becomes trial-ready once therapeutics become available. Hopefully, this thesis will warrant FTD scientists that we have to act now to ensure that sporadic FTD, the omitted majority of the spectrum, is no longer forgotten.
Nutrição e hábitos alimentares em escolares: repercussões da COVID-19 em região de vulnerabilidade social
Authors: De Azevedo Pereira Jussara , Pereira Estevam Esthefany , Rodrigues Nunes Jaqueline , Cristina Morais Tassiane
Published: August 2024

Objetivo: analisar os efeitos da pandemia da COVID-19 no hábito alimentar e no estado nutricional de crianças e adolescentes de área de vulnerabilidade social.
Método: Estudo de delineamento transversal, com aplicação de questionário semiestruturado sobre variáveis socioeconômicos, hábitos alimentares e estilo de vida, além de coleta de dados antropométricos. A amostra foi constituída por 76 alunos matriculados do 6° ao 9° ano do ensino fundamental da Escola Municipal de Ensino Fundamental Professora Maria Valéria Miranda, situado no bairro de Vila Nova de Colares, Serra, Espírito Santo, Brasil. Os dados foram tabulados e analisados. As variáveis quantitativas foram analisadas por estatística descritiva e as variáveis qualitativas foram analisadas utilizando análise de conteúdo.
Resultados: Houve predominância de escolares do sexo feminino (60,53%), com idade de 13 anos (34,21%), cursando a 8° série do ensino fundamental (48,68%). Em relação ao estado nutricional dos escolares, verificou-se que 66,22% da população do estudo está classificada como eutrófica, seguido de sobrepeso (20,27%) e obesidade (10,81%). Nos relatos dos pesquisados, observou-se que a maioria dos estudantes relatou que a pandemia alterou o hábito alimentares dos estudantes.
Conclusão: Apesar da maioria dos escolares de uma região de vulnerabilidade social estarem com estado nutricional adequado, ainda há um índice expressivo de estudantes caracterizados como má-nutrição, assim, Políticas Públicas necessitam ser fortalecidas em prol a proteção destes sujeitos, inclusive em períodos pandêmicos.
Perfil epidemiológico de estudantes de enfermagem que fazem uso de medicamentos psicotrópicos
Authors: Silva Corsini Lorena , Ferreira Laporte Kênia , Curitiba Oliveira Dandara , De Barros Souza Beatriz , Patricio da Silva Alan
Published: August 2024

Objetivo: Analisar o perfil epidemiológico de estudantes de Enfermagem que fazem uso de psicotrópicos.
Método: Trata-se de um estudo descritivo, transversal e de abordagem quantitativa, realizado no ano de 2023 e 2024. Foi aplicado um formulário a estudantes de Enfermagem vinculados a uma Instituição de Ensino Superior Privado de Vitória, ES. Posteriormente, os dados foram analisados e comparados com achados de outros autores. O presente trabalho foi submetido e aprovado pelo Comitê de Ética e Pesquisa, sob o parecer n° 6.176.492.
Resultados: A maioria dos participantes eram mulheres (90,2%), com idades entre 21 e 24 anos (43,9%), de etnia branca (48,8%), morando com os pais (75,6%) e renda per capita de 2 a 4 salários-mínimos (46,3%), 58,8% possuíam bolsa integral e 87,8% não escolheram Enfermagem como primeira opção. No que tange à saúde mental, 73,2% não realizam acompanhamento profissional. Cerca de 29,27% dos estudantes usam psicotrópicos; destes, 41,67% fazem acompanhamento com psicólogo, 25% com psiquiatra e 25% não realizam nenhum acompanhamento. Entre os usuários de psicotrópicos, 58,33% utilizam ansiolíticos, 75% antidepressivos e 50% ambos. Sintomas prevalentes incluem pensamentos negativos (83,33%), cansaço excessivo (83,33%), ansiedade (100%) e pensamentos suicidas (33,33%).
Conclusão: O estudo revelou alta prevalência de sintomas psicológicos e físicos entre estudantes de Enfermagem que usam psicotrópicos, indicando a necessidade de intervenções voltadas à saúde mental no ambiente acadêmico. É essencial implementar programas de educação em saúde, orientação profissional e políticas públicas para promover um ambiente educacional saudável e oferecer suporte psicológico aos estudantes.
Percepção da ansiedade pelos adolescentes no contexto escolar pós pandemia da COVID-19
Authors: Santos Silva de Jesus Gabriely , Pralon Nascimento Castheloge Coutinho Beatriz , Matias de Alcântar Julia , Soares Gonçalves Júlia Mayse , Rosa Neves Smiderle Fabiana
Published: August 2024

Introdução: No decorrer do último século, vem ocorrendo várias mudanças na esfera econômica, social e cultural o que têm interferido negativamente na saúde da população. Devido à necessidade de adaptação e de um novo ritmo de vida diferenciado, grande parcela da população tem desenvolvido o famoso “transtorno de ansiedade generalizada”, levando assim a “era da ansiedade” como ficou conhecido o século XX.
Objetivo: Descrever a percepção da ansiedade pelos adolescentes no contexto escolar e identificar o agravamento da mesma devido à pandemia de COVID-19.
Método: Trata-se de um estudo transversal, qualitativo, realizado no ano de 2022, com alunos do oitavo ano da Escola Municipal de Ensino Fundamental Zilda Andrade, situada no município de Vitória do Espírito Santo, por meio da aplicação de uma entrevista semiestruturada de elaboração do autor.
Resultados: Participaram deste estudo 16 alunos, referentes à caracterização do perfil dos alunos estudados, mostram que 62,5% (n=10) dos entrevistados eram do sexo feminino e que a 56,25% (n=9) desses, tinham faixa etária predominante de 13 anos.
Conclusão: Em síntese, há um déficit de conhecimento sobre o conceito da temática entre os alunos, o que acarreta na não identificação de outros colegas que sofrem com os sintomas de ansiedade.
The acute effects of energy drink with taurine on resting blood pressure in healthy young adults: A systematic review with meta-analysis
Authors: Engrácia Valenti Vitor , Cavalheri de Andrade Davi
Published: August 2024

Introduction: Energy drink with taurine (EDT) has been used to improve physical performance. Its impact on cardiovascular parameters is important to understand a possible risk. We aimed to evaluate the effects of EDT on resting blood pressure through a systematic review and meta-analysis.
Methods: The searches were accomplished through Cochrane Library, EMBASE, CINAHL, MEDLINE, Web of Science and SCOPUS databases. We included randomized or non-randomized control trials design, healthy participants older than 18 years. Taurine as an energy drink combined with other compounds were considered. Control intervention used pill or liquid compounds. Outcomes for meta-analysis included resting systolic (SBP) and diastolic blood pressure (DBP). Risk of Bias tools and GRADE quality of evidence were analyzed.
Results: Three studies were included (48 participants). EDT dosages ranged between 1,000-4,000 mg. Two studies were included for meta- analysis. After the intervention with EDT, SBP underwent significant changes (p < 0.00001) of 3.21 mmHg (95% CI: 2.49; 3.92) (GRADE:OO Low), and DBP also increased after EDT ingestion (p< 0.00001) 1.71 mmHg (95% CI: 1.26; 2.17) (GRADE: OO Low), compared to the control/placebo group.
Conclusion: The meta-analysis suggests that acute EDT increases SBP and DBP, however, the low quality of evidence highlights that further studies with high quality of evidence are necessary.
The Role of the Physician, Bioethics, and Human Rights in Public Policies for Patient Care
Authors: Stein Messetti Paulo André , De Araújo Brito Buttros Daniel , Pinheiro Bezerra Italla Maria
Published: August 2024

The role of the physician in patient care transcends mere clinical practice, encompassing the defense of human dignity. This editorial explores how the principles of bioethics and human rights should guide medical practices to ensure ethical and humane care. Based on the article "Setting a Minimum Standard of Care in Clinical Trials: Human Rights and Bioethics as Complementary Frameworks" by Fatma E. Marouf and Bryn S. Esplin, we discuss the importance of a minimum standard of care and how it reinforces patient dignity.
GESTÃO DE EMPREENDIMENTOS DA AGRICULTURA FAMILIAR: NÍVEL DE MATURIDADE DA ASSOCIAÇÃO CENTRAL DOS PRODUTORES AGROECOLÓGICOS DO ESTADO DO AMAZONAS (APROARTES)
Authors: Nunes Keyla Cirqueira Cardoso , Teixeira Elton Pereira , Peixoto Aline Gomes , Bessa Cleísa Elena Cabral , Silva Luiz Marcel Chagas da , Chaves Hilmar Tadeu
Published: August 2024

O projeto "Bioeconomia e Cadeias de Valor" da GIZ, em colaboração com a Universidade do Estado do Amazonas, busca fortalecer a agricultura familiar no Amazonas, promovendo a formação em bioeconomia e gestão de empreendimentos. Neste sentido, o objetivo do estudo consistiu em verificar o nível de maturidade da Associação Central dos Produtores Agroecológicos do Estado do Amazonas-APROARTES, a partir da aplicação da ferramenta de diagnóstico do CapGestão, chamada ciclo de assessoria organizacional. Quanto à metodologia, tratou-se de uma pesquisa participante, bibliográfica, com observação direta e aplicação de formulários para coleta de dados. Os resultados mostraram que os níveis de maturidade individuais das áreas funcionais da associação, considerando uma escala de 0 a 5, foram: gestão organizacional – nível 3; gestão de pessoas – nível 2; gestão de processos, gestão comercial e gestão ambiental – nível 1; gestão financeira – nível 0. Quanto ao nível geral, aponta-se que a ssociações alcançou 8 (oito pontos). Com isso, atingiu o segundo nível de maturidade e o estágio “inicial” de desenvolvimento organizacional. Dado o exposto, propõe-se a implementação de um plano de desenvolvimento participativo a fim de potencializar os processos internos e seu desempenho no mercado, desdobrando-se em avanços nos resultados financeiros, assim como na oferta de melhores serviços e benefícios aos sócios.
Atoms and Void: Does Atomic Theory Have Anything to Say to Chemists in the 21ˢᵗ Century?
Authors: Krivosudský Lukáš
Published: August 2024

Although the theory of atomism was postulated by Greek philosophers, such as Democritus, Epicurus, and Leucippus 2500 years ago, it remains inspiring for chemists. It is worth considering how this theory, without scientific evidence, could so closely correlate with conclusions derived from experimental results achieved by physicists and chemists since the 19th century. Physics has refuted the notion of the indivisibility of atoms; on the other hand, subatomic particles no longer carry the qualitative attributes of matter. Despite these advancements, the theory of atomism remains relevant from the perspective of an experimental chemist who works daily with atoms, ions, and molecules. The theory of atomism was brought back into focus with the advent of Dalton, who adapted the concept of atoms to modern scientific knowledge. This paper provides a brief historical overview of the development of atomistic theory, contemplating its relevance to the current chemical understanding of atoms and their properties. Synthesizing these perspectives, it becomes evident that modern science essentially confirms the insights of ancient atomists, originally conceived through reason and rational deliberation.
Dyslexia: Implications for Chemistry Teaching
Authors: Cídlová Hana , Bayerová Anna , Prokop David
Published: August 2024

Dyslexia is probably the best-known specific learning difficulty. For many people it is simply known as a reading disorder, even though it is a much more complex problem. It usually has a noticeable negative impact on pupils' school performance, although many dyslexics can have excellent space imagination and ability to solve complex problems. Many publications have been written about dyslexia. The most of them deal with its medical and psychological aspects or they are trying to help dyslexics to read. A significantly smaller number of scientific papers is focused on help with specific school subjects. Among them, the predominant effort is to help the pupils with foreign languages study. Only extremely small number of studies is focused on dyslexia and science subjects (for instance chemistry). The aim of our article was to create an overview of information published in scientific literature, focused on dyslexia and teaching chemistry. Our hypothesis, based on our study of scientific articles on dyslexia and on our experience with a very limited number of cooperating pupils/students with dyslexia, or with their teachers, is as follows: dyslexia is usually found during the initial reading practice. However, reading can usually be gradually practiced to an acceptable level. That is why some teachers think incorrectly that 14 years old pupils have already "overcome dyslexia" and that they can work within science subjects in the same way as the other pupils. However, dyslexics might differ from the population in the way how they work with their memory. They might need much longer time to memorize. For example, a "simple" memorizing the symbols and names of chemical elements can be an extremely difficult and time-consuming task for them. The dyslexics might greatly appreciate visualizations (experiments, pictures, showing real chemical substances, models, videos). The reason might be not the reading problem itself, but the way of thinking (the need of a "translation" from words into reality). They might profit from a clearly structured explanation including clear output requirements. On the other hand, many of them are creative and have a good (even above average) ability to solve complex problems. Techniques that help dyslexics help all pupils/students.
”Var sam-vettet finns”
Authors: Löfgren Ingeborg
Published: August 2024

”Var sam-vettet finns”
In this article I ask in what kind of texts the Swedish author and activist Sara Lidman’s (1923–2004) word “sam-vett” (or “con-science”, in English) is to be found. As has been pointed out by other scholars, Lidman invents the word “sam-vett” in the middle- to late 1970s as she begins her work on the novel suite Järnbanan (1975 – 1999). Previous research has predominantly focused its attention on the occurrences of this word in two texts by Lidman; the novel Järnkronan (1985) and the introduction to her book of articles called och trädet svarade (1988), entitled “Före ordet”. The present study sets out to investigate all the published texts in which the word “sam-vett” appears and offers succinct interpretations of the word’s varying but interconnected meanings. The article also asks what importance, if any, the matter of genre has for our understanding of the word’s significance as an interpretative lens for the authorship as a whole. As the investigation shows, the word is predominantly used by Lidman in her articles and essays, rather than in her novels. How should this be taken into account when we interpret Lidman’s novels in light of the concept of “sam-vett?” The present study answers this question through an analysis of Sara Lidman’s own understanding of the relation between her articles and her novels.
A Research Investigation on Conventional Neural Network-Based Disease Detection Techniques for Sugarcane Plants
Authors:   Vels Institute of Science, Technology and Advanced Studies, Pallavaram,  Chennai, Tamil Nadu 600117, India, Angamuthu T , Arunachalam A.S ,   Vels Institute of Science, Technology and Advanced Studies, Pallavaram,  Chennai, Tamil Nadu 600117, India
Published: August 2024

In the current times, the number of viruses and infections in the sugarcane plants is widespread. If we want to properly correct these infections, we need to use artificial intelligence such as CNN and RNN. Therefore, in this study, how to prevent the disease in sugarcane using the CNN and RNN system is taken as a test. This model is trained on a diverse dataset of automatic diagnosis images, with a focus on addressing the inherent class in detection. The neural network architecture is designed to capture intricate patterns indicative of sugarcane manifestations in automatic diagnosis images. Through an iterative training process, the model learns to discern subtle features associated with automatic diagnosis, achieving remarkable accuracy. The experimental results confirm the efficacy of our proposed methodology. It explores the many CNN architectures used for plant disease detection, including AlexNet, VGGNet, ResNet, InceptionNet, and DenseNet, as well as their pros and limitations. The survey also discusses the importance of RNNs in plant disease detection, specifically in time-series data analysis, where RNNs have been shown to be useful in forecasting the spread of plant diseases over time. This report also provides a successful outcome for researchers working on the creation of a recognition system for sugarcane diseases. Keywords: convolutional neural networks (cnn), recurrent neural networks (rnn), Sugarcane plants disease detection Accuracy, Genetic algorithm
Smart Voice Based Medical Chatbot for Disease Prediction
Authors:   Computer Science Engineering Department of D.K.T.E. Society’s Textile and Engg Inst, Ichalkaranji, Sogani Priyanka Anil , M. Gavali Prof. Prashantkumar , Sangewar ,Prof. Mrs. S. S
Published: August 2024

The global shortage of medical resources has intensified in recent years, exacerbated by a growing and aging population, particularly following the pandemic. However, advancements in robotics and artificial intelligence have empowered healthcare professionals to address these challenges. Intelligent Speech Technology (IST) is one such innovation that has helped doctors and patients enhance medical efficiency and reduce cumbersome tasks. Despite this, complex hospital environments with background noise and variations in patient pronunciation have limited IST's broader application. Yet, as machine learning technologies rapidly advance intelligent speech recognition capabilities, these obstacles are expected to be overcome in the near future. This project focuses on the concept of an AI-based voice- assisted chatbot for medical disease prediction. Deployed on a Raspberry Pi as a standalone hardware device, it utilizes natural language processing (NLP) and machine learning (ML) techniques to detect diseases by interacting with users through a series of questions. A groundbreaking innovation, the Speech-Assisted Chatbot for Medical Infectious Disease Prediction, promises to transform healthcare delivery. By leveraging AI-driven algorithms and natural language processing, it facilitates quick diagnosis and prescription generation through spoken interactions with patients. This simplifies and accelerates procedures, reduces error risks, improves patient care standards, saves valuable time for healthcare professionals, and enhances service availability, all contributing to better outcomes and more efficient healthcare processes.. Key Words: chatbot, NLP, Machine learning, Medical diagnosis, Speech, Artificial Intelligence etc.
PENERAPAN MODEL PEMBELAJARAN BERBASIS PROYEK DALAM MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS IV
Authors: Rahmah Fauziah
Published: August 2024

The concern about the low learning outcomes of students in class lV SDN lV Karangampel Kidul in science subjects due to students' lack of interest in science subjects is the background for this research. One of the efforts made is the application of a project-based learning model. This study aims to determine the application of project-based learning models in science subjects for grade IV students of SDN IV Karangampel Kidul, Karangampel District and to determine the application of project-based learning models can improve the learning outcomes of grade IV students of SDN IV Karangampel Kidul, Karangampel District. This research used PTK (class action research) method with Kemis and Taggart design. The research sample was all fourth grade students of SDN lV Karangampel Kidul in the 2022/2023 school year, totaling 31 students. By using data collection techniques in the form of interviews, observations and tests. Based on the observation results in this study, it is included in the good category, seen from the analysis of teacher activity observation data in cycle I obtained 75% with sufficient criteria and increased in cycle II 87.5% with good criteria. And student learning outcomes are said to have increased, this can be seen from the results of student learning in cycle I which has been completed 74.19% and increased in cycle II, namely 83.87% of students who have been completed and can be said to have reached the success indicator of 80%.
ASCENDING AORTIC ANEURYSM, EXPERIENCE IN A PUBLIC HOSPITAL IN THE PROVINCE OF BUENOS AIRES
Authors: Mendoza Gisele , Salomon Carlos , Arenaza Pablo , Acosta José , Araníbar Miguel , Soto Luis , Soria Carlos , Patrizi Nicolás , Basso Gabriel
Published: August 2024

An ascending aortic aneurysm is a permanent dilatation in that artery region. Their natural history depends on their size and the weakness of the arterial wall. The surgical indication is defined based on the risk of rupture. A retrospective analysis of the surgically treated cases in our department considers the surgical technique and postoperative complications.
Transforming Apple Disease Detection with Advanced Deep Learning: A Hybrid Approach Using Mobilenetv3 Small and Res MLP
Authors: Pavithran Anju , Punithavalli Dr. M.
Published: August 2024

The identification of plant diseases through image analysis is crucial in precision agriculture. Traditional methods rely on extensive manual inspection, which is time-consuming and prone to error. Deep learning approaches, particularly convolutional neural networks (CNNs), offer a promising solution for automating this process. This research focuses on preprocessing, augmenting, and analyzing image data to build a robust model capable of distinguishing between healthy and diseased apple leaves. The proposed hybrid model combines MobileNetV3Small and Res MLP architectures, achieving a balance between accuracy and computational efficiency. The novelty of this research lies in the integration of advanced preprocessing techniques and a hybrid deep learning model specifically designed for apple disease detection.
The Politicization of Traditional Institutions and National Security in Nigeria
Authors: Nkwota Eugene Emy , Matthew Uchendu Jennifer
Published: August 2024

The study examined the politicization of traditional institutions and national security, and it was noted that the Nigerian state is currently facing serious security challenges as the insecurity in Nigeria has graduated from petty crimes such as assault, stealing, etc. to heinous crimes such as bombing, highway robbery, burglary, arson, murder, rape, etc. Structural functionalism theory is adopted in this study to establish the traditional rulership institution as a functional organ within the nucleus of security challenges facing Nigerian society. The study adopted secondary sources of data collection and analysis. It was discovered that the existence of traditional rulers in Nigeria predates the coming of Europeans into Africa, but recently, there has been the politicization of traditional institutions, which has affected national security in Nigeria. Based on the foregoing, the study recommends that traditional institutions should not be politicized but rather allowed to play vital roles in the socio-economic development of their communities.
Construcciones de relaciones de género entre las y los docentes dentro del espacio educativo
Authors: Cabrera Mogrovejo Tatiana
Published: August 2024

El presente estudio plantea una comprensión respecto a la construcción de relaciones de género entre las y los docentes de una institución educativa privada de la ciudad de Cuenca. La investigación se desarrolló bajo una metodología cualitativa, cuyos actores fueron 9 profesores, tanto varones como mujeres dentro del espacio educativo mencionado. Se aplicaron entrevistas semiestructuradas, observación participante y, además, una profunda revisión bibliográfica. Los resultados muestran que las interacciones de género en las instituciones sociales, y en este caso la escuela, siguen envueltas bajo valores y conductas que desembocan en estereotipos sexistas. A más de ello, la forma errónea en la que los docentes perciben la perspectiva género, acentúa la desigualdad en medio de un ambiente hostil, que en muchos casos opera de manera inconsciente. El análisis, indica que los cuerpos docentes de las instituciones educativas, no siempre son actores que participan de la deconstrucción de estereotipos, es así que los discursos se siguen marcando desde una posición de poder.
Turismo médico: un enfoque del posicionamiento discursivo académico
Authors: Guzmán Flores Julieta
Published: August 2024

El turismo médico es un campo de estudio explorado desde la interdisciplina de las ciencias sociales -negocios y turismo- y salud pu?blica. Desafortunadamente, las cifras de la industria del turismo médico y una variedad de su información es especulativa, anecdótica y llena de matices y contradicciones, porque proviene de las experiencias y opiniones de los viajeros médicos [1].
 Desde 1990, las publicaciones de estudios de turismo se han conformado seis plataformas teóricas que siguen vigentes y en un continuo cambio: Incidencia, Precaución, Adaptación, Cientificidad, Interés Público y Desarrollo Sostenible [2] [3].
La intención principal de este documento es proporcionar un punto de partida para identificar, agrupar y analizar la información sobre destinos de turismo médico en los medios de comunicación. El análisis toma como punto de partida los temas capturados en la literatura centrados en la marca, posicionamiento del destino, ética y estandarización de los servicios del negocio del turismo y las plataformas teóricas de Jafari para contextualizar el desarrollo del campo. Particularmente, se intenta mostrar cómo se ha construído la discusión del turismo médico internacional. Si el la literatura académica sobre el mercado del turismo médico contiene diferentes características que incorporan temas de responsabilidad social, cultura de consumo, mercantilización contemporánea y están ligados al desarrollo sostenible.
The Effectiveness of Policies to Accelerate the Elimination of Extreme Poverty in Indonesia (A Case Study on the Implementation of Presidential Instruction Number 4 of 2022 in Kediri County)
Authors:   Faculty of Social and Political Sciences, Universitas Hang Tuah Surabaya Indonesia, Muhartono Djoko Siswanto
Published: August 2024

The purpose of this study is to describe and analyze the effectiveness of policies to accelerate the elimination of extreme poverty in 2024, including in Kediri County. This research process uses a qualitative approach and the type of research is a case study, which was conducted in Kediri County, East Java Province, Indonesia. The research was conducted with in-depth interviews with 6 (six) key informants from 7 (seven) Regional Apparatus Work Units (SKPD) who are considered to represent SKPD. The focus of this research is the effectiveness of policies to accelerate the elimination of extreme poverty. Data collection techniques using interviews for primary data and documentation for secondary data. The analysis technique used content analysis The conclusions of this study are: First, The Central Government has issued Presidential Instruction Number 4 of 2022 concerning the Acceleration of the Elimination of Extreme Poverty. Kedua, The implementation of Presidential Instruction Number 4 of 2022 requires integration, synergy and cooperation between ministries and local governments, so that Ketiga, the effectiveness of the implementation of policies to accelerate poverty eradication is less effective due to communication system constraints in cooperation between ministries and local governments, especially in human resource management and funding.
HYBRID ANTI ISLANDING PROTECTION SCHEME FOR DISTRIBUTED GENERATORS BASED ON FUZZY LOGIC CONTROLLER
Authors: Changan Dhanashri , Darji Pranav
Published: August 2024

Distributed generators are blessing for power grid. Distributed generators should operate properly during and after islanding process. Here in this work the main focus is earlier islanding detection and to detect islanding on earlier. Hybrid islanding protection can be preferred for islanding detection. An active oscillatory disturbance is introduced in controller of the converter and fuzzy logic controller is used, so that the introduced signal gets amplified during islanding and it is helpful to detect the islanding. Generally proportional gain controller is used for islanding detection, but its response is slow, hence fuzzy logic controller is used. Fuzzy Logic controller gives earlier trip signal to system than proportional integral controller and small signal stability issues get improved. The system performance is discussed for zero power mismatch conditions. The simulation results of this proposed method is evaluated by using MATLAB Software.
ARTIFICIAL INTELLIGENCE OPTIMIZED CONTROLLER DESIGN FOR AUTOMATIC GENERATION CONTROL IN RESTRUCTURED POWER SYSTEMS
Authors: Kamlesh Pandey  , Tayal Vijay Kumar , Sinha Sanjay Kumar Sinha , R.N. Patel
Published: August 2024

This paper presents an investigation on automatic generation control (AGC) in restructured power systems with multiple interconnected areas and multiple machines. A particle swarm optimized combined optimal fuzzy controller has been proposed. The results obtained with the proposed controller have been compared with the conventional PI controller and optimal controller to exhibit its robust performance. Furthermore, the proposed controller aims to rapidly achieve zero deviations in frequency and tie line power, thereby maintaining system synchronism. The PSO-optimized combined optimal fuzzy controller demonstrates superior performance in terms of peak transient deviation, settling periods, and dynamic oscillations compared to other controllers.
PERCEPTIONIZATION OF M/D/1 QUEUING MODEL UNDER TRAPEZOIDAL NEUTROSOPHIC NUMBERS
Authors: Dayana Kesavankutty , Vennila Boopathi , Poongodi Thirumalaiswami
Published: August 2024

In this paper, we provide an NM/ND/1 queuing model with an infinite limit based on the neutrosophic environment. Both the entry and utility rates are represented in terms of single valued neutrosophic trapezoidal numbers (SVTNN). The performance measures of the proposed model are evaluated using the DSW approach and (α, β, γ)-cut approach. A numerical example pertaining to a single valued trapezoidal neutrosophic number is obtained for different values of α, β, γ.
Planejamento experimental para a produção de vinagre caseiro como recurso para extensão e ensino de química
Authors: Silva Edney Ferreira da , Gonçalves Janaina Pinheiro , Diniz Victor Wagner Bechir , Almeida Bruno Rafael Ribeiro de , Passos João Paulo Rocha dos , Antunes Ionara , Carneiro João da Silva
Published: August 2024

O vinagre, um produto alimentício que pode ser preparado a base de frutos e muito comum na vida humana, se faz presente em diversas atividades experimentais voltadas para o ensino de Química. Neste trabalho, realizou-se um planejamento experimental para elaboração de vinagres caseiros a partir de frutos, e buscou-se avaliar as variáveis que influenciam o processo e o teor de acidez, visando demonstrar esta atividade experimental como um importante recurso para ações extensionistas e ensino de Química. Foram realizados cinco experimentos, tendo como matéria prima a maçã Gala (casca e polpa) e a banana Prata (polpa), açúcar e vinagre industrial. Após o período de fermentação, foram retiradas amostras para determinar a acidez por meio da titulação e posteriores cálculos da média, variância e desvio padrão. Os resultados indicaram que as variáveis utilizadas retardaram o processo fermentativo. O tamanho dos cubos dos frutos foi um fator limitante ou potencial para a ação dos microrganismos fermentadores, assim como a quantidade de açúcar e a de vinagre industrial. Os vinagres produzidos à base de maçã e banana não possuírem acidez volátil de 4,0 g de ácido acético em 100 mL-1, conforme previsto na lei brasileira, mas os resultados foram satisfatórios ao apresentar informações importantes para futuros estudos mais elaborados e possibilidade de ser um recurso didático para professores (atuantes ou em formação) de Ciências Naturais.
A cidade como referência para o ensino de Geografia: os impactos ambientais urbanos e sua relação com as inundações em Santa Cruz de Minas – MG
Authors: Carvalho Mariana Barros , Leão Vicente de Paula , Ladeira Francisco Fernandes
Published: August 2024

Possuindo uma dinâmica importante e muito tênue, a ocupação urbana da planície de inundação de um canal fluvial tende a acarretar diversos problemas para os moradores. O problema da pesquisa está pautado em como as atividades exercidas na planície do Rio das Mortes em Santa Cruz de Minas - MG interferem na ocorrência de inundações na cidade e como este tema é trabalhado nas aulas de Geografia no município. A pesquisa mostra como os moradores da região não percebem que a ocupação urbana na planície do rio influencia em sua dinâmica fluvial. A questão das inundações em Santa Cruz de Minas é pouco trabalhada nas aulas de Geografia na escola do município. Logo, urge a necessidade de se discutir como questões ligadas às bacias hidrográficas, inundações e urbanização estão sendo apresentadas aos alunos durante as aulas de Geografia na educação básica.