bluuebunny/crossref_metadata_2025 huggingface dataset:
Hand Arm Vibration Syndrome [HAVS]: What Do We Know So Far? – Journal Review
Authors: Popiołek Adam , Billewicz Marta , Lis Laura , Makowska Karolina , Marczyk Aleksandra , Pietrzykowska Julia , Turek Aleksandra , Zatorska Oksana
Published: September 2024

Background. Since over century it has been known that hand to arm transmitted vibrations (HAV) can affect health and quality of life. Exposure over certain level and intensity over time are risk causes of Hand Arm Vibration Syndrome (HAVS). Symptoms varies from the damaged structures which most commonly are secondary Raynaud Phenomenon known as Vibration Induced White Finger (VWF), carpal tunnel syndrome, tingling, loss of manual dexterity, osteoarthritis or even Dupuytren’s contracture. The usage of pneumatic vibrating tools among physical workers and specialists like dentists, without any doubt has grown significantly since the start of previous technological era. Unfortunately, development of medicine is not sufficient to reverse harmful effects of vibrations on human body but is able to diagnose and treat symptoms faster and with better efficiency than it used to in the past. Brief update and awareness booster of occupational disease which is silently present in our society, giving more insight and knowledge about current possibilities of treatment and diagnosis for medical personnel and everyone interested.Material and methods: The article presents actual state of knowledge and scientific discoveries collected and researched via databases of platforms: Journal of Education Health and Sport, PubMed, Google Scholar, National Library of Medicine, Elsevier. Used keywords in research: Vibration induced White Finger, HAVS, Hand Arm Vibration Syndrome.Conclusion: While full protection from occupational vibrations is not possible, we should advance in spreading knowledge of occupational hazards, updating and regulating work standards policies, as continue research in new aimed therapies and effects of vibrations on human body.
PERCEPÇÕES SOBRE COMPETÊNCIAS PARA FORMAÇÃO DE RESIDENTES POR PRECEPTORES MULTIPROFISSIONAIS: ANÁLISE DE SIMILITUDE E NUVEM DE PALAVRAS
Authors: Chaves Nelma Maria de Lima , Nunes Heliana Helena de Moura , França Ana Paula de Figueiredo Montalvão , Pereira Lizomar de Jesus Maués , Valois Rubenilson Caldas , Silva Jéssica Maria Lins da , Moraes Pilar Maria de Oliveira
Published: September 2024

Os programas de Residência Multiprofissionais possuem um importante papel na formação dos profissionais que atuam nos serviços de saúde. Partindo dessa premissa, investigou-se a percepção dos preceptores de residências quanto às competências que julgam necessárias para sua atuação junto aos residentes. Trata-se de um estudo metodológico descritivo, exploratório, com abordagem qualitativa dos dados. Com base nas análises realizadas neste estudo, evidenciou-se que ela é essencialmente voltada para o desenvolvimento de competências específicas que são fundamentais para a sua atuação junto aos residentes. As categorias emergentes — a experiência dos preceptores na troca de conhecimentos e sua contribuição no processo de ensino-aprendizagem, a importância do desenvolvimento contínuo do preceptor frente à atividade de ensino, e a utilização do feedback como ferramenta crucial de avaliação de competências — delineiam um panorama abrangente das necessidades e desafios enfrentados por esses profissionais, sendo crucial que instituições e programas de residência reconheçam a importância de desenvolver estratégias eficazes para capacitar e apoiar seus preceptores, garantindo, assim, um ambiente educacional enriquecedor e propício ao crescimento profissional e acadêmico dos residentes.
EDUCAÇÃO PERMANENTE DOS ACS E ENFERMEIROS EM UM MUNICIPIO PERTENCENTE AO NORTE DO BRASIL
Authors: Lima Shidney Salatiel Batista de , Moura Pedro Gabriel Silva de , Santos Ana Luisa Ramos , Mendonça Xaene Maria Fernandes Duarte , Moraes Pilar Maria de Oliveira , Sousa Júnior Alcinês da Silva , Serra Henriana Soares , Nunes Silvia Ferreira
Published: September 2024

Entre os profissionais atuantes nas Unidades Básicas de Saúde, os Agentes Comunitários de Saúde e os enfermeiros possuem papeis fundamentais na identificação, diagnóstico e acompanhamento de agravos. Também, realizam a função de educadores e simbolizam uma conexão multiprofissional com a comunidade assistida. A EPS tem a definição assumida pelo Ministério da Saúde como aprendizagem no trabalho, devendo ser significativa para transformar as práticas profissionais, correlacionando conhecimentos com a realidade. O estudo tem por obetivo verificar a percepção dos ACS e Enfermeiros sobre EPS e a existência do Plano de Educação Permanente em Saúde. O presente estudo possui uma abordagem qualitativa com características descritivas, a pesquisa foi realizada na Atenção Primária em Saúde do município de Tucuruí-PA, parte da Amazônia Legal, com enfermeiros gestores das unidades de saúde e ACS atuantes. A amostragem foi feita por meio de uma seleção não-probabilística do tipo intencional, a coleta de dados foi realizada por meio de entrevista semiestruturada e com auxílio de dois instrumentos elaborados no Google Forms, a análise dos dados foi feito por meio do agrupamento das respostas. Concluiu-se que os ACS e enfermeiros possuem uma concepcção errônea de EPS no município, descrevendo de maneira equivocada o conceito e, geralmente, associando a educação continuada. Notou-se uma baixa frequência da realização de EPS e baixa adesão, contudo é válido ressaltar que para os ACS a utilização de métodos tecnológicos pode ser uma oportunidade de efetivar a política, facilitando o acesso a essas ações. Nenhum dos profissionais souberam informar a existência de um plano de ação em educação permanente, demonstrando fragilidade na atenção primária.
Comparative Analysis on the Effect of Feature Selection on Classification Performance
Authors: Beniwal Sunita , Kathuria Neha , Kumar Ashwani
Published: September 2024

A huge amount of raw data is present in the information industry and this raw da-ta has to be converted into useful information. Feature selection is a process of selecting the useful and relevant features from the data set. Feature selection is important as it helps in reducing the size of the data and complexity of the model and makes it simpler and easily understandable. Feature selection aims to minimize the cost and improve the performance of the model. This research work is performed using two steps, firstly feature selection is performed using Bacterial Foraging optimization algorithm on two datasets i.e., Iris and Diabetic datasets and performance of selected features is evaluated using Naïve Bayes and KNN. The results of the research are compared with accuracy of original datasets with-out feature selection. The feature selection using BFO yielded better results.
Comparative Study of DEFI Lending Protocols using LSTM
Authors: Bhoyar Sankalp , Chakraborty Sagar , Choudhary Pahuni , Ray Kisor , Jana Biswabandhu
Published: September 2024

Decentralized finance is a revolutionary change in the financial system, using blockchain technology to build a diverse and open network of financial services. By cutting out middlemen, DeFi promotes financial equality and reaches out to more people. Smart contracts can complete transactions without the need for traditional banks to lower costs and improve efficiency in lending, borrowing, trading, and yield farming activities. The proposed research compares four leading DeFi lending protocols: AAVE, MAKERDAO, COMPOUND, and VENUS Finance. We have used Long Short-Term Memory (LSTM) neural networks to analyze historical data and measure key parameters, such as lending and borrowing rates, Total Value Locked (TVL), Market Capitalization, and token price dynamics. We found that AAVE and COMPOUND exhibit similar mean rates but AAVE offers more precise predictions. MAKER provides potentially higher returns but with a higher degree of unpredictability. VENUS, despite its precise predictions, yields the lowest returns due to its lower mean lending rate. Overall, the approach enhances the understanding of the dynamics within the DeFi ecosystem, helping stakeholders to make informed decisions. Index Terms—Decentralized, Blockchain, LSTM, Time Series Analysis.
Review on Advancement in Machine Learning and Deep Learning Techniques for Crop Classification
Authors: Yadav Sarita , Sharma Srishti , Chaudhary Poonam
Published: September 2024

Crop classification is a fundamental task for agriculture monitoring and management to optimize resource allocation and ensure food security. With the advancement of Artificial Intelligence(AI) Algorithms and Remote Sensing Technology, improved accuracy and efficiency in crop classification processes can be attained. This paper presents a comprehensive review of the various Remote Sensing technologies and AI algorithms used for crop classification. First, we will discuss the role of various remote sensing techniques used for capturing imagery, including Unmanned Aerial vehicles (UAVs) and satellites, followed by various fusion technologies for integration images from different platforms. Second, various models and techniques implemented in the literature, including both machine learning (SVM, Random Forest, Decision Tree) and deep learning (CNNs, RNNs, and Neuarl Networks) have been reviewed. Third, as conclusion , this paper finds that CNN-based models utilizing hyperspectral and mutitemporal fused imagery from various remote sensing sources are prevalent in the classification field. This paper has highlighted key challenges in areas such as data availability, scalability, model generalization, and integration of multisource imagery. Additionally, it offers potential solutions and proposes various methods and techniques for further exploration in crop classification.
Comparative Analysis of Deep Learning Techniques for Automated Plant Leaf Disease Detection: A Comprehensive Survey
Authors: Evane Deepraj , Chawla Meenu , Tiwari Namita
Published: September 2024

Plant leaf disease detection in the early stages is very important for farmers to produce a better quantity and quality crop. Performing this task manually is very challenging and requires expertise in pathogens to detect them as early as possible and cure them with the right treatment. Automation in this industry is crucial in order to reduce manpower and treat plants at the ideal moment to avoid low recognition efficiency and poor dependability due to errors made by humans. There is extensive research happening to automize plant leaf disease detection and has received high accuracy on deep learning models to automate. The performance of various architectures such as VGG19, EfficientNet, MobileNet, and DenseNet used as across different datasets. Our analysis reveals that EfficientNet outperforms other models in terms of accuracy and MobileNet in terms of computational efficiency, making it suitable for deployment on both high-end and low-end devices. Still, there are many challenges to solve in this automation, like the cost of a high definition camera to capture plant leaf images and the computational cost to process the images. This paper concludes by discussing the challenges and opportunities for further research. The difficulties include developing more robust and precise image capture and pre-processing techniques, extracting more discriminative features, and creating more efficient and effective classification algorithms. Deep learning techniques, the development of mobile and web-based applications, and the integration of plant leaf disease detection with other agricultural technologies are all possibilities.
Unlocking Market Trends: LSTM-based Stock Price Forecasting for Intelligent Investments
Authors: M Jaya Bharathi , S Ilavarasan
Published: September 2024

This paper introduces an advanced Long Short-Term Memory (LSTM) neural network model designed to predict future stock prices, effectively addressing the challenges of the non-linear and dynamic nature of financial markets. By integrating Explainable AI (XAI) techniques, specifically LIME (Local Interpretable Model-agnostic Explanations), with LSTM networks, we enhance both predictive accuracy and model interpretability. Our optimized LSTM model achieves a notable 92% accuracy in forecasting stock price trends, outperforming baseline autoregressive integrated moving average (ARIMA) models, and demonstrates robust performance with an impressive RMSE of 0.052, showcasing its capability to capture complex market dynamics. The incorporation of LIME provides transparent insights into the factors influencing individual predictions, enhancing trust and validation of the model’s decisions. Additionally, we introduce a comprehensive evaluation framework that combines traditional performance metrics with XAI-driven insights, offering a holistic assessment of model robustness and interpretability. Utilizing a dataset of historical daily stock prices for multiple companies and employing a sliding window approach to create input-output pairs, we conduct extensive experimentation with various network architectures, optimization algorithms, and input data representations to identify an optimal LSTM configuration for this task. This research not only advances the field of stock price prediction but also addresses the critical need for explainable AI in financial forecasting, laying the groundwork for developing more transparent and reliable data-driven algorithms for stock valuation and algorithmic trading with potential applications across diverse financial markets and asset classes
Practice of pharmaceutical care in pharmacies and drugstores in the North zone of the city of Rio de Janeiro
Authors: Pedro Erica Militão , Kaminski Josilene de Souza da Conceição , De Carvalho Aline dos Santos Moreira
Published: September 2024

Pharmaceutical care consists of a patient-centered practice model that emerges as an alternative in the search for improving quality of life through the rational use of medications, aiming to achieve concrete results through pharmacotherapy. The implementation of pharmaceutical care in different care service contexts has gained prominence throughout Brazil, aiming to optimize drug therapy and promote health. However, studies carried out in the city of Rio de Janeiro have brought some challenges, which tend to impact the full implementation of these practices. In view of the above, the objective of this study is to analyze the practice of pharmacists regarding the pharmaceutical care provided in drugstores in the Madureira neighborhood in the city of Rio de Janeiro. This is an exploratory, descriptive study, with a quantitative approach, carried out from April to November 2021. The data was collected from pharmacists working in drugstores and pharmacies in the Madureira neighborhood, in the city of Rio de Janeiro. 36 pharmacists were interviewed, the majority of whom were female (75%), graduated from private institutions (83%) and did not own the establishment (94%). More than half of the participants held the role of technical manager (69%) who carried out administrative activities in the pharmacy, user/client care techniques, in particular, guidance and dispensing of medicines. The understanding that 66% had about the provision of pharmaceutical care was related to the quality of the service that the pharmacist provides at the counter. It is concluded that the practice of pharmaceutical care, as recommended in the literature, was not observed in those drugstores, because during the dispensing of medicines, the pharmacist does not have sufficient knowledge, employing behaviors which are not consistent with adequate pharmaceutical care, such as the rational use of medicines, for instance.
Student Perception of AI-Powered Service Quality and Customer Satisfaction: A Case Study of Higher Learning Institution in Malaysia
Authors: Mohd Bukhari Abd Razak  , M. Reyasudin Basir Khan
Published: September 2024

As service providers increasingly employ AI-powered service agents (AISAs), concerns about how these interactions influence consumers' perceptions of service quality have grown. This study aims to analyze the effect of AI-powered service quality on customer satisfaction, specifically focusing on chatbots. Data were collected via a Google Forms survey from 113 MBA students and analyzed using SPSS for descriptive statistics and SmartPLS version 4.0 for assessing relationships between service quality dimensions and customer satisfaction. Descriptive analysis showed moderate levels of efficiency, anthropomorphism, and satisfaction, with lower scores for security. Availability received a high mean rating, suggesting a strong presence of resources. These findings indicate that while customers perceive moderate levels of efficiency, anthropomorphism, and satisfaction, improvements are needed in the security aspect of AI-powered services. The structural model assessment using PLS-SEM revealed that the availability of AI-chatbot services has the most significant positive relationship with customer satisfaction (path coefficient = 0.367, t-value = 3.997, p < 0.001). This highlights the importance of constant service availability for enhancing customer satisfaction. Anthropomorphism features also have a significant positive relationship with customer satisfaction (path coefficient = 0.252, t-value = 2.418, p < 0.01), emphasizing the positive impact of human-like interaction styles. Efficiency in AI-chatbot services similarly shows a significant positive relationship with customer satisfaction (path coefficient = 0.241, t-value = 2.348, p < 0.01). However, there is no significant positive relationship between security in AI-chatbot services and customer satisfaction. In conclusion, this study provides insights into key dimensions of AI-powered service quality and their impact on customer satisfaction, highlighting the need for improved security to enhance customer experiences.
Unidos pelas águas: reduzindo desigualdades e fortalecendo comunidade vulnerável em Itabuna
Authors: Paulo Vanessa Souto , Ribeiro Prudence Secchin de Sousa Vaz Sampaio , Souza Vanner Boere , Silva Ita de Oliveira e
Published: September 2024

O Gogó da Ema é um bairro do município de Itabuna localizado em uma área de alto risco de inundações devido às enchentes do Rio Cachoeira. Em 2021, com as fortes chuvas de verão, dezenas de famílias ficaram desabrigadas com o aumento do nível das águas do rio. A infraestrutura precária e a emissão direta de esgoto no rio Icó, corroboram para a ocorrência de problemas nos âmbitos sanitário, ambiental e de saúde, confirmando as altas taxas de internações e de mortalidade infantil por patologias relacionadas ao saneamento inadequado em Itabuna. O projeto surge com uma proposta moderna e arrojada através do conceito One Health, baseado nas complexas interações entre homem, animal e ambiente, considerando que desastres ambientais, como inundações, causam impactos importantes na saúde humana e animal, elevando a incidência de doenças infectocontagiosas e parasitárias, bem como desequilíbrios de ordem psicossocial. O projeto iniciou com a realização de um curso multidisciplinar de extensão em ATHIS e Direito à Cidade, no qual participaram profissionais como arquitetos, engenheiros, assistentes sociais, professores e estudantes de graduação capacitados para realizar levantamentos e diagnósticos dos efeitos das inundações, preparando a população para futuros eventos. Foram formadas equipes por eixos temáticos, dando início a fase de pesquisa e implementações de ações, que serão acompanhadas em reuniões mensais e visitas periódicas.
Despertando o Cosmos no Cariri Cearense: ações itinerantes do Planetarium Kariri no primeiro semestre de 2024
Authors: Duarte Tharcísyo Sá e Sousa , Souza Claudio do Nascimento , Silva Carlos Eduardo de Lima , Oliveira Junior Gilson Francisco de
Published: September 2024

Este estudo teve como objetivo avaliar o impacto das ações do Planetarium Kariri, um projeto de extensão de professores do Instituto de Formação de Educadores da Universidade Federal do Cariri (IFE/UFCA), em parceria com o CNPq, no primeiro semestre de 2024. Utilizando um planetário móvel com tecnologia "Fulldome", o projeto ofereceu experiências imersivas e interativas sobre astronomia em escolas públicas do Cariri cearense, promovendo divulgação científica e educação não formal. A análise, baseada em uma metodologia quantitativa-qualitativa, incluiu dados sobre o alcance geográfico, número de participantes e percepções sobre as atividades. Resultados preliminares mostraram um alcance significativo, com mais de 2.000 km percorridos e mais de 3.500 estudantes diretamente impactados. As sessões, que abordaram temas como o Sistema Solar e a origem do universo, foram bem avaliadas, evidenciando um aumento no interesse pela ciência e pela astronomia na região. As parcerias com escolas e programas como a UFCA Itinerante foram cruciais para ampliar o impacto do projeto. A análise preliminar dos dados coletados, incluindo questionários e entrevistas, revelou que o Planetarium Kariri ajudou a desenvolver habilidades como curiosidade, pensamento crítico e trabalho em equipe junto aos planetaristas, além de promover a formação de cidadãos mais conscientes e engajados com questões científicas e sociais. Assim, o projeto se mostrou uma ferramenta eficaz na popularização da ciência e no fortalecimento da educação nas comunidades atendidas, demonstrando estar no caminho certo para atingir seus objetivos e contribuir para uma sociedade mais justa e equitativa.
Truncated Exponential Log-Topp-Leone Rayleigh Distributions: Properties with Application to Bladder Cancer Data
Authors: Abubakar Usman , Osi Abdulhameed Ado , Shuaibu Ahmed
Published: September 2024

Study’s Excerpt/Novelty

This study presents a truncated exponential log-topp-leone Rayleigh distribution by expanding the truncated exponential log-topp-leone family of distributions.
The study comprehensively analyses the distribution's properties and parameter estimation methods, with practical applications demonstrated using right-skewed bladder cancer data.
The new model's superior performance over standard models, evidenced by lower AIC, CAIC, and BIC values, demonstrated its potential in accurately modeling right-skewed data.

Full Abstract
In this article, we introduce a new truncated exponential log-topp-leone Rayleigh distribution on the basis of the truncated exponential log-topp-leone family of distributions. We discussed some properties, including survival function, hazard function, entropy, moment, moment generating function, quantile, and order statistics. We also estimate the parameters of the distribution using maximum likelihood, least squares, and Cramer von-mises. We demonstrated how suitable the proposed distribution is for modeling right-skewed data, as shown from the pdf plot in Figure 1. Finally, we apply the right-skewed (see Figure 3) bladder cancer data sets and compare the performance of the new model using information criteria (see Table 3), and we conclude that the new model outperforms the other standard models with smaller values of AIC, CAIC, and BIC.
Allelopathic Effects of Mangifera indica L. Leaf Leachate on Germination and Early Growth of Selected Crops
Authors: Kolawole Opeyemi Saheed , Bello Munir Sikiru , Rabi'u Zulaihat Harun , Mamoon Asiya , Aliyu Habiba Usman , Suleiman Maryam Bani , Ayesa Abayomi Samuel
Published: September 2024

Study’s Excerpt/Novelty

This study evaluates the allelopathic effects of Mangifera indica L. leaf leachate on the germination and early growth of various crops, offering detailed insights into concentration-dependent inhibitory effects.
By identifying the differential sensitivity of chili peppers, soybeans, beans, okra, and maize to leaf leachate, the research suggests practical agricultural implications, particularly highlighting the potential of Mangifera indica as a natural herbicide.
These findings contribute to a deeper understanding of plant-plant interactions and inform crop planting strategies to mitigate allelopathic effects in agricultural systems.

Full Abstract
This study evaluates the allelopathic effects of Mangifera indica L. leaf leachate on the germination and early growth of soybeans, beans, chili peppers, okra, and maize.  Aqueous extracts were prepared from crushed mature leaves and tested at concentrations of 20%, 40%, 80%, and 100% compared to a control (distilled water).  Germination percentage of the seeds was recorded at intervals of 24, 48, 76, and 92 hours, while shoot and root length were measured after 10 days.  Results showed a concentration-dependent inhibition of germination and growth of shoot and root, with chili pepper being the most affected and maize the least.  These findings suggest that Mangifera indica has potential as a natural herbicide and therefore recommended that soya beans, beans, okra, and especially chili pepper should not be planted at the very closest distance from the mango tree stem due to its allelopathic effects.
Cardiac arrest resuscitation policies and practices: a survey of Australian hospitals
Authors: Finn Judith C , Jacobs Ian G
Published: September 2024

Objective

To describe the policy and practice relating to cardiopulmonary resuscitation (CPR) and defibrillation in cardiac arrest in Australian hospitals.

Design

Cross‐sectional postal survey conducted in December 2001, using a semi‐structured, four‐page questionnaire.

Participants

Australian hospitals with more than 10 beds.

Main outcome measures

Type of defibrillator; provision of CPR/defibrillation training for healthcare professionals; hospital policy as to who can use the defibrillator.

Results

Of the 878 hospitals surveyed, 665 (76%) responded. All but one hospital indicated that CPR training was provided for nursing staff, with 12‐monthly or more frequent updates; only 55% of hospitals (366) indicated that CPR training was provided for doctors. 21 of the 665 responding hospitals (3.2%) indicated that they did not have a defibrillator. 43% of hospitals had one or more defibrillators with shock advisory capacity (ie, automated external defibrillators [AEDs]). Of the 644 hospitals with defibrillators, 16% (101) indicated that registered nurses were not permitted to defibrillate; this included 9% of hospitals with AEDs.

Conclusions

The importance of CPR in cardiac arrest has been accepted by Australian hospitals, but the overwhelming evidence that “time to defibrillation” is the single most important determinant of cardiac arrest outcome seems less accepted. All Australian hospitals should review their resuscitation policies and practices to reflect this fact, with defibrillation by nurses, who are usually first on the scene, providing the best opportunity to minimise time to defibrillation.
TÜRKİYE’DE PSİKOLOJİK OTOPSİ ALANINDAKİ ÇALIŞMALARIN ANALİZİ: BİR META SENTEZ ÇALIŞMASI
Authors: Taktak Şafak , Talu Ertuğrul
Published: September 2024

Bu araştırmanın amacı, Türkiye’de "Psikolojik Otopsi" yöntemi konusunda yapılmış olan çalışmaların meta-sentez yöntemi kullanılarak analiz edilmesidir. Verilerin toplanması sürecinde “psikolojik otopsi” ve “tamamlanmış intihar” anahtar kelimeleri tercih edilerek tarama yapılmıştır. Araştırma kapsamı içerisinde değerlendirilecek çalışmaların seçiminde Google Akademik arama motoru, TÜBİTAK ULAKBİM, Dergi Park, Yüksek Öğretim Kurulu Ulusal Tez Merkezi (YÖKTEZ) veri tabanlarından faydalanılmıştır. Gerçekleştirilen taramalar sonucunda 1994-2022 yılları arasında Türkiye’de yayınlanmış 17’si makale ve 1’i yüksek lisans tezi olmak üzere toplam 18 çalışmaya ulaşılmıştır. Araştırma kapsamına alınan çalışmaların belirlenmesinde kullanılan dahil edilme ve hariç tutulma kriterleri sonucunda 18 çalışma içinden kriterleri sağlayan 9 çalışma ile araştırma yürütülmüştür. Çalışmaların her biri içerik analizine tabii tutulmuş ve çalışmaların amaçları, yöntemleri, çalışma grupları, veri toplama araçları ve elde edilen sonuçlar bağlamında analiz edilmiştir. Elde edilen veriler tablolar halinde verilerek yorumlanmıştır. Araştırma sonuçlarına göre psikolojik otopsi yöntemi konusunda yapılan çalışmaların amaçlarına ilişkin sonuçlar incelendiğinde; bireyleri intihara götüren nedenlerin araştırılması amacının çoğu çalışmanın ortak amacı olduğu, incelenen araştırmalarda yöntem olarak nitel desenli çalışmaların çoğunlukta olduğu, çalışma gruplarının seçiminde; aile bireyleri ve akraba-arkadaş olmak üzere iki temel kaynağın kullanıldığı, veri toplama aracı olarak; görüşme ve doküman incelemesi kullanılarak verilerin toplanıldığı, çalışmalardan elde edilen sonuçlar incelendiğinde ise bunların; duygu durumu, ruhsal rahatsızlık, kendisi ile ilgili, aile ve yakınlarla ilgili,intihar şekli, intihar not ve söylemi, sosyo-kültürel ve ekonomik nedenler olmak üzere yedi temel kategori altında toplandığı tespit edilmiştir. Son olarak bu alanda çalışma yapacak olan araştırmacılara ve ilgili kurumlara çeşitli önerilerde bulunulmuştur.
Situating Traditional Political Systems in the Nigerian Federal Governance
Authors: Inamete Ufot B.
Published: September 2024

The goal of this study is to examine how the precolonial political system impacts the postcolonial political system of the Federal Republic of Nigeria in order to provide an increased understanding of how the Nigerian political system functions. The traditional political systems that exist today in Nigeria constitute a fundamental element in the political system of postcolonial Nigeria (Awolowo 1975, 103–106 and Azikiwe 1975, 100–102). Universally, political systems contain both older and newer political socialization frameworks, political cultures/value systems, political processes, political structures/institutions, and policy outputs. The differing dynamics of political history of various countries result in varying profiles of mixture of older and newer frameworks for each country. The older or newer frameworks may be large, medium, or small in different countries. Therefore, the differing dynamics of political history result in a blend of older and newer frameworks on a continuum for countries. These frameworks will also inform this study’s focus on the impacts of traditional political systems in the modern political system of postcolonial Nigeria.
Imagining a New State
Authors: Rangnath Thakur  , Binod Mishra
Published: September 2024

The famous Miliband-Poulantzas debate between the Marxist theorists Ralph Miliband and Nicos Poulantzas gave a new way to understand the conditions of states in a capitalist and neocolonial world. Later theorists, like Hamza Alavi, critiqued state theorists and emphasized that state formation and nation-building in postcolonial societies differ from the Western understanding of the state. In today’s world, there is an extensive body of literature by theorists and critical ethnographers defining and theorizing the postcolonial state. However, much before these “state theorists,” M. K. Gandhi problematized the conditions of postcolonial states. His emphasis on the localization of government is distinct from the economic model of capitalization and globalization in the current socio-economic configurations of the world. He imagined a state where Panchayat (villages) would be the basic units of administration, and every individual would be an essential part of the system. He emphasized empowering Grams (villages), which would lead India to be a truly progressive and democratic state. This localization of governance stands in direct opposition to the prevailing homogenous model of governance. Through a detailed analysis, this paper aims to shed light on the contrasting nature of localized governance and its divergence from centralized approaches. Additionally, it seeks to contextualize the various facets of Panchayati Raj within the framework of a capitalist and globalized society in the modern world. In doing so, the argument unfolds to underscore the significance of revisiting and reevaluating Gandhian principles for their potential insights into governance in the present context.
Um Jogo Sério para Aplicação de Comunicação Não Violenta em Ambiente Organizacional
Authors: Batista João Victor D. , Cox Kenia K.
Published: September 2024

Este relata a construção de um jogo sério – EMCOMTRA, da fase de delineamento até a validação do conteúdo, o qual explora a comunicação empática em ambiente corporativo, visando evitar e mitigar conflitos. O serious game foi construído com a aplicação da engine Unity, com scripts desenvolvidos na linguagem de programação C#, metodologia XP e foram explorados narrativa própria de ambiente corporativo, bem como cenários, e ainda diálogos apresentando a CNV por meio de situações problemas apresentadas através de questões, para estímulo à aplicação da comunicação empática em ambiente corporativo. Para validação do resultado foram aplicadas as metodologias LORI e Gameflow visando analisar a qualidade do objeto de aprendizagem construído, bem como o nível de diversão do mesmo. Um total de 37 respondentes efetuaram a validação do EMCOMTRA sinalizando que este cumpre o objetivo a que se propôs e apontaram pontos a serem melhorados no processo de evolução do jogo.
Autoencoder-based feature extraction of spatial panel data for Brazilian agricultural heterogeneity cluster analysis
Authors: Santos Flávio E. de O. , Silva Marcos A. S. da , Matos Leonardo N. , Dompieri Márcia H. G. , Moura Fábio R. de
Published: September 2024

Brazilian agricultural production presents a high degree of spatial diversity, which challenges designing territorial public policies to promote sustainable development. This article proposes a new approach to cluster Brazilian municipalities according to their agricultural production. It combines a feature extraction mechanism using Deep Learning based on Autoencoders and clustering based on k-means and Self-Organizing Maps. We clustered the panel data from IBGE’s annual estimates of Brazilian agricultural production between 1999 and 2018. The results show that in comparison with the ground truth adopted, the autoencoder model combined with the Self-Organizing Maps and the k-means algorithm presented a better result than clustering the raw data using k-means. It demonstrated the ability of simple stacked autoencoders to reduce the dimensionality and create a new space of features in their latent layer where the data can be analyzed and clustered.
Uma Arquitetura para Extração, Povoamento e Publicação de Dados Abertos: Um Estudo de Caso com o Anuário Socioeconômico do Estado de Sergipe
Authors: Santos Daniel , Almeida Wedson Teixeira de , Colaço Júnior Methanias , Nascimento André Vinicius R. P.
Published: September 2024

Anuários Socioeconômicos são compilações de dados abertos governamentais organizados em séries históricas com o objetivo de apresentar indicadores sobre variados temas de interesse social. A etapa mais onerosa na criação de um anuário é a coleta de dados de diferentes fontes. O tempo despendido para coletar as informações de vários portais é a principal causa para que algumas publicações apresentem atrasos, não sejam disponibilizadas em determinado ano, ou apresentem dados desatualizados. Este trabalho apresenta uma arquitetura para um processo automático de coleta de dados abertos no contexto do anuário do estado de Sergipe para auxiliar a elaboração de visualizações para indicadores socioeconômicos.
Desenvolvimento de um sistema de visão computacional aplicado ao futebol de robôs
Authors: Dias Vitor da Silva , Bittencourt João Carlos Nunes
Published: September 2024

Na categoria IEEE Very Small Size de futebol de robôs, um dos desafios é determinar as coordenadas da posição tanto dos robôs quanto da bola ao longo de uma partida. Para isso, em geral, se faz necessário utilizar técnicas de visão computacional. Em uma partida, os robôs adotam marcadores customizados a partir de cores padrão. A solução proposta por esse trabalho utiliza dois modelos de Redes Neurais Convolucionais baseados no sistema detecção de objetos em tempo real You Only Look Once (YOLO), que trabalham de acordo com os marcadores do time, para rastrear, de forma eficiente, os robôs e a bola. O sistema opera a uma taxa de 2 FPS na detecção dos jogadores e 30 FPS na identificação dos times e da bola retornando a posição de cada objeto detectado.
Technical Debt Tools: a Survey and an Empirical Evaluation
Authors: Gomes Tchalisson Brenne S. , Loiola Diogo Alves de Moura , Santos Alcemir Rodrigues
Published: September 2024

Background: The life cycle of a technical debt from its identification to its payment is long and may include several activities, such as identification and management. There is a lot of research in the literature to address different sets of these activities by different means. Specifically, several tools have already tackled such technical debt identification problems. However, only a few studies empirically assessed those tools. Method: In this article, we carried a multi-method research. We first surveyed the literature for the technical debt tools available and then we evaluated two of them, which aim at identification of self-admitted technical debt. They are named eXcomment e DebtHunter. Results: We found 97 tools employing different approaches to support technical debt life cycle management. Most of them (59%) address only the high level task of management, instead of actually identify and pay the debt. Additionally, as for our empirical evaluation of tools, our results show that DebtHunter found only 7% of debt identified by eXcomment. In the other way around, eXcomment found 19.9% the debt found by DebtHunter. Besides, both tools have low levels of precision and recall. Conclusion: It is hard to find technical debt through comments. Both tools can find indicators of debt items, however they struggle on the precision and recall. In fact, although eXcomment and DebtHunter diverge on the amount of debt identified, they seem to converge with regard to the type of debt present in the system under evaluation.
A portal to catalog worked examples extracted from open source software projects to support the teaching of Software Engineering
Authors: Tonhão Simone , Colanzi Thelma , Steinmacher Igor
Published: September 2024

Software Engineering is continually evolving, with new techniques, tools, and processes emerging to enhance software development. However, finding real-life examples that reflect this evolution can be challenging for instructors. Open Source Software (OSS) projects offer a valuable resource in this context, as they provide access to actual development projects and environments. Despite their potential, integrating these projects into the classroom involves several hurdles, including selecting suitable projects, preparing classes, and adapting to the open-source environment. This study aims to alleviate the challenges instructors face in adopting OSS projects for teaching Software Engineering. We developed an open portal to catalog worked examples from OSS projects, thereby supporting instructors in demonstrating real-world Software Engineering concepts and techniques. Utilizing Design Science Research, we followed the Relevance, Design, and Rigor cycles to construct this solution. The primary contribution of this work is the portal itself, which helps reduce the time instructors spend searching for relevant materials and resources. Additionally, we proposed a template to create, structure, and catalog these examples and developed guidelines to assist instructors in using the worked examples effectively. We conducted a series of studies with experienced Software Engineering instructors, which indicated that the portal could significantly mitigate the challenges associated with sourcing and updating real examples. The effectiveness of the examples was also assessed based on student perceptions, revealing that exposure to worked examples from OSS projects could engage students with real projects and challenges.
Film- und Medienbildung an deutschen Hochschule
Authors: Barg Werner C.
Published: September 2024

Über das Smartphone ist heute fast jeder Minderjährige mit einem breiten Angebot an Unterhaltung, Informationen, Filmen, Musik und sozialen Netzwerken verbunden. Deshalb wird es immer wichtiger, die medialen Risiken durch Informationen und Aufklärung über die Wirkungen zu reduzieren, aber auch Kinder und Jugendliche zum Reflektieren des eigenen Medienverhaltens anzuhalten. Das kann vor allem in der Schule geschehen, die jeder Jugendliche besuchen muss. Voraussetzung dafür ist aber, dass die Lehrer an den Universitäten und Hochschulen entsprechend ausgebildet werden. Dieser Beitrag stellt da, inwieweit das Thema der schulischen Film- und Medienbildung aktuell bundesweit an Universitäten und Hochschulen im Rahmen von Angeboten zur Lehreraus- und fortbildung verankert ist.
Sexuelle Grenzverletzungen und Grooming
Authors: Hajok Daniel
Published: September 2024

Mit Messengerdiensten, Social Media Angeboten und den vernetzten Spiele- welten ist das Soziale nicht aus der Lebenswelt junger Menschen verschwunden, es hat sich aber weiter in die digitale Welt verlagert. Jugendliche, bereits Kinder, bedienen sich hier nicht nur der neuen Möglichkeiten zu Selbstausdruck und Kreativität, Selbstdarstellung und Einholen von Feedback, sondern werden auch mit den diversen Risiken digitaler Kommunikation und Interaktion konfrontiert. Betroffen sind letztlich alle Bereiche ihrer Persönlichkeitsentwicklung – nicht zuletzt die Identitätsbildung und die sexuelle Entwicklung. Abseits der intendierten verfrühten Zugänge zu Internetpornografie und dem einvernehmlichen individualisierten erotischen Austausch beim Sexting machen junge Menschen in den letzten Jahren auch immer häufiger Erfahrungen mit sexueller Gewalt im Netz. Ausgehend von einem Beitrag an anderer Stelle wird nachfolgend ein differenziertes Update zu den sexuellen Grenzverletzungen unter Heranwachsenden im Netz und den von Erwachsenen an sie adressierten Grooming-Attacken gegeben. Als Konsequenz der aktuellen Entwicklung wird kurz die Durchsetzung der gesetzlichen Bestimmungen zum Kinder- und Jugendmedienschutz angemahnt und ausführlicher auf die erfolgversprechenden Zugänge von Prävention eingegangen.
Vor 75 Jahren wurde die FSK gegründet
Authors: von Gottberg Joachim
Published: September 2024

Die komplette Gleichschaltung der Medien während der Nazi-Diktatur wurde von den Müttern und Vätern des Grundgesetzes als eine der wichtigsten Voraussetzungen dafür gesehen, dass sich das Unrechtsregime derart menschenfeindlich entwickeln und so lange halten konnte. Deshalb haben sie in Art. 5 Grundgesetz (GG) eine sehr weitgehende Meinungs- und Informationsfreiheit garantiert, es heißt dort ganz unmissverständlich: „Eine Zensur findet nicht statt.“ Das heißt allerdings nicht, dass die Freiheit der Medien grenzenlos ist, denn sie wird in Art. 5 Abs. 2 GG durch die allgemeinen Gesetze, insbesondere die Gesetze zum Schutz der Jugend, eingeschränkt. Wie kann aber Jugendschutz funktionieren, wenn gleichzeitig eine staatliche Zensur verboten ist? Die vor 75 Jahren gegründete Freiwillige Selbstkontrolle der Filmwirtschaft (FSK) hat gezeigt, wie so etwas durch eine Co-Regulierung von Wirtschaft, Behörden und unabhängigen Dritten funktionieren kann. Sie dient inzwischen für viele als Modell.
Novel, Catalyst-free One-pot Multicomponent Synthesis of Pyrazolopyridopyrimidine-diones in Water Under Ultrasonic Condition
Authors: Mangalavathi  , Khanum Amreen , Pasha Mohamed Afzal
Published: September 2024

A novel catalyst-free route was utilised for the first time to achieve a synthesis of fourteen new 3-methyl-1,4,8,9-tetrahydro-5H-pyrazolo[4,3:5,6]pyrido[2,3-d]pyrimidine-5,7(6H)-diones via a one-pot five-component reaction of substituted aromatic/hetero aromatic aldehydes, barbituric acid, ethyl acetoacetate, hydrazine hydrate and ammonium acetate in water under ultrasonication. The reaction conversion took place between 15 and 18 min, with the yield ranging from 85% to 98%; and it was found that five compounds gave <90% yield and nine compounds accorded yields >90%. The methodology is expeditious and furnishes varied advantages like shorter reaction time, energy efficiency, eco-sustainability and work under mild condition.
Surgical Management of Glenohumeral Instability
Authors: Guadagno Kaitlyn , Harrington Justin , Card Ryan , Doelling Jeffrey , Lerman Griffin , G. Huish Eric
Published: September 2024

Glenohumeral instability is frequently encountered by surgeons due to the relatively high frequency of traumatic shoulder dislocations. Recurrent anterior instability is common and increasingly seen in young active male patients while recurrent posterior instability is less frequently seen. Surgery is often indicated in cases of recurrent instability or after an initial dislocation event with high risk of recurrence. The goal of treatment is to prevent future instability events and their sequelae. Advanced imaging is typically required to determine the extent of injury. Selection of appropriate surgical treatment is dependent on the degree of soft tissue and bony injury and is necessary to avoid failure and additional instability episodes. While some cases are relatively straightforward, there remains controversy in management of more complex cases.
State-Of-Art Precise Control in Foods Processing: Pasteurization and Lyophilization
Authors: Jenko Marjan
Published: September 2024

Food safety requires repeatability and precision in food processing and optimal signal-to-noise ratio, that is, robustness to environmental variables and interfering parameters in food processing, and processes must be traceable. A thermal process is controlled according to required temperature curves by methods from various areas of process control theory. Using the case study of industrially produced soft-boiled eggs with simultaneous pasteurization (disabling of Salmonella in the egg yolk), we demonstrate technological progress of the precise temperature process control in foods industry. The simplest thermal process control is implemented with on/off regulation of heating and cooling. Accuracy is improved with the introduction of proportional, integral, and derivative (PID) control. Fuzzy control is now used in many thermal process controls. The current state of the art is the use of artificial intelligence (AI) where we train a neural network in several iterations under different conditions. The trained neural network controls the thermal process according to the required sequence. Such a control is most insensitive to environment variables by its design. We present the drawbacks and complexity of individual approaches to precise thermal control in the food industry. One must note that the matter of the case study—egg’s pasteurization and preservation of yolk softness—have opposing temperature requirements, and coexistence of the two is not granted.
Medial Patellofemoral Ligament Injury
Authors: Güngör Erdal
Published: September 2024

Patellar dislocation can lead to instability, pain, limited function, and recurrent dislocations. Medial patellofemoral ligament (MPFL) reconstruction leads to favorable patient-reported outcomes, but many patients fail to return to previous activity levels. The initial approach involves nonoperative management, emphasizing the reconditioning and strengthening of the patella’s dynamic stabilizers. However, for patients experiencing recurrent instability, a thorough examination of predisposing factors becomes necessary. MPFL reconstruction becomes necessary for those with recurrent instability and inadequate medial restraint attributed to MPFL injury. A detailed technique for MPFL reconstruction is provided, and this procedure can be combined with other realignment techniques as well.