bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Application of Apriori Algorithm in the Teaching of Ball Sports Techniques and Tactics
Authors: An Jianqun , Zhao Yongfeng
Published: January 2024

To address the problem that technical and tactical aspects of ball games have a large impact on match-winning, association rules are used to mine and analyse the data. Item constraint terms are added to the original Apriori algorithm to reduce the generation of redundant data, and the operational efficiency of the improved association rules is improved with the aid of the GSA-PSO algorithm to give full play to the fast convergence advantage of the hybrid algorithm. The experimental results show that the algorithm proposed in the study is more convergent than the Apriori algorithm, and the former has fewer iterations on average in the single-peaked function; the overall search accuracy is significantly improved. The algorithm is also less disturbed by the dataset than the Apriori algorithm, with an average running time of 19.23s, 21.54s and 25.61s for dataset sizes of 200, 500 and 1000 respectively. The deviation rate between the predicted and actual coaching strategies was less than 5% and the scoring tolerance rate was between 0.04 and 0.10. It indicates that the algorithm proposed in the study can improve the efficiency of data analysis, which is conducive to the development of a perfect ball sport technical and tactical scheme and promote the stability of ball sport technical and tactical development.
An Insight Into Viable Machine Learning Models for Early Diagnosis of Cardiovascular Disease
Authors: Chalapathi Mukkoti Maruthi Venkata , Vali Dudekula Khasim , Kumar Yellapragada Venkata Pavan , Reddy Challa Pradeep , Kasaraneni Purna Prakash
Published: January 2024

Cardiovascular diseases (CVD) are a prominent source of death across the globe, and these deaths are taking place in low-to middle-income nations. Due to this, CVD prevention is a pressing issue that has already been the subject of extensive research. Innovative methodologies in machine learning (ML) can have a greater impact on the diagnosis of CVD, yet the research on CVD is more challenging and attracting more research indeed. In this paper, we investigate the differences between four distinct machine learning models, support vector machine (SVM), logistic regression, decision trees (DT), and artificial neural networks (ANN) in their classification accuracy and possible practicality in CVD classification. techniques such as ensemble learning and other model-specific optimizations are not part of this study, but more basic implementations of the various models were used. To implement abovementioned ML models, a subset of 14 features from the original heart disease dataset is considered and deemed relevant for classification where no individual feature data are missing.
From the results, it is observed that there is no clear winner in the comparison of models. There is no significant difference in the average accuracy of models. The highest average hit rate is observed in SVM and ANN, however it is slightly lower in ANN. Even though the DT had lower accuracy, the fully trained model can be easily visualized and interpreted by humans. Hence, the DT is possibly the most practical model to use as a complement to doctors in their current methods of diagnosis.
An Improved Coverage Hole Finding System for Critical Applications Based on Computational Geometric Techniques
Authors: Christy Angelin Anitha , Silas Salaja
Published: January 2024

Wireless Sensor Networks (WSNs) contain coverage holes caused by both random node sensor deployment and malfunctioning nodes. Because fixing the battery is challenging, collaborative discovery and assessment of coverage shortfalls, as well as getting rid of these holes, has been recognized as critical in WSNs. While placing nodes for sensors in a large-scale WSN is challenging. This research provides a cost-effective coverage hole detection approach based on collaborative distributed point placement. Create a polygon first by employing an angle estimate approach and neighbor data. Following that, a based on points hole identification technique is used to assess if a coverage issue appears in a large-scale WSN's supplied ROI. Furthermore, the region of the coverage hole is estimated using computational geometry-based polygonal triangulation methods. The accuracy of the method is tested here using statistical data. The results show that it outperforms earlier coverage hole-detecting algorithms. In particular, the method improves coverage rate by 75% when compared to conventional methodologies. It also lowers energy usage by 90%, adding to increased network lifetime. The quantitative favourable results demonstrate the effectiveness of the collaborative distributed point placement technique in detecting and successfully resolving coverage gaps in WSNs. In regards to coverage rate, energy consumption, and network longevity, the system being proposed beats previous coverage hole-detecting techniques.
Novel Authenticated Strategy for Security Enhancement in VANET System using Block Chain Assisted Novel Routing Protocol
Authors: Patil Anand N , Mallapur Sujata V
Published: January 2024

In recent days, the fast growth of Vehicular Ad-Hoc Network has made smart driving practicable. The VANET performs communication with other vehicles with the intention of improving traffic flow and eliminating accidents and road hazards. VANET is nonetheless susceptible to security attacks by malicious users because of the open wireless nature of the communication channels. As a result, in this proposed system, the novel authenticated strategy for security enhancement in VANET system using block chain assisted novel routing protocol is implemented to prevent from vulnerable attacks. When vehicle enters a new roadside zone, it must continue the reauthentication procedure using the current RSU, which lowers the VANET system's overall effectiveness. Consequently, those mentioned problems are solved via blockchain technology. Reauthentication is effectively accomplished through safe authentication code transmission between the succeeding RSUs thanks to the decentralized nature of blockchain technology. The proposed system's reliability robustness against numerous harmful threats assures that it provides superior security. Furthermore, the Horse Optimization Algorithm based routing protocol assisted with blockchain technology used in this approach significantly reduce the computational and communication cost when compared to traditional approaches. To evaluate the effectiveness of blockchain assisted routing protocol, performance parameters such as PDR, routing overhead, throughput, communication and computational cost with varying scalabilities are measured. According to the findings, the proposed system works better than other existing approaches. In addition to this, our proposed framework substantially guarantees a secure and trustworthy vehicular environment with user privacy preserved.
Stochastic Cyclic Inventory Routing with Supply Uncertainty: A Case in Green-Hydrogen Logistics
Authors: Hasturk Umur , Schrotenboer Albert H. , Ursavas Evrim , Roodbergen Kees Jan
Published: January 2024

Hydrogen can be produced from water, using electricity. The hydrogen can subsequently be kept in inventory in large quantities, unlike the electricity itself. This enables solar and wind energy generation to occur asynchronously from its usage. For this reason, hydrogen is expected to be a key ingredient for reaching a climate-neutral economy. However, the logistics for hydrogen are complex. Inventory policies must be determined for multiple locations in the network, and transportation of hydrogen from the production location to customers must be scheduled. At the same time, production patterns of hydrogen are intermittent, which affects the possibilities to realize the planned transportation and inventory levels. To provide policies for efficient transportation and storage of hydrogen, this paper proposes a parameterized cost function approximation approach to the stochastic cyclic inventory routing problem. Firstly, our approach includes a parameterized mixed integer programming (MIP) model which yields fixed and repetitive schedules for vehicle transportation of hydrogen. Secondly, buying and selling decisions in case of underproduction or overproduction are optimized further via a Markov decision process (MDP) model, taking into account the uncertainties in production and demand quantities. To jointly optimize the parameterized MIP and the MDP model, our approach includes an algorithm that searches the parameter space by iteratively solving the MIP and MDP models. We conduct computational experiments to validate our model in various problem settings and show that it provides near-optimal solutions. Moreover, we test our approach on an expert-reviewed case study at two hydrogen production locations in the Netherlands. We offer insights for the stakeholders in the region and analyze the impact of various problem elements in these case studies.

Funding: This project received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking (now Clean Hydrogen Partnership) under [Grant Agreement 875090]. The Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme, Hydrogen Europe and Hydrogen Europe Research. A. H. Schrotenboer received support from the Dutch Science Foundation (Nederlandse Organisatie voor Wetenschappelijk Onderzoek; NWO) through [Grant VI.Veni.211E.043].
The Role of Implementing Supplier Relationship Strategies, Relationship with Customer, and Information Sharing on Company Performance
Authors: Afrilia Eka , Ratihsabella Inesa Nining
Published: January 2024

Purpose-In this study, the effects of information sharing, customer relations, and supplier relationship strategies on company performance are investigated.
Design/Methodology/Approach-The study's sample consists of workers of Bank Rakyak Indonesia, which is situated in Yogyakarta's Special Region. 60 workers served as responders in the study, providing a sample size.  This research data is acquired using the Smart PLS analysis program in order to get the intended outcomes.
Findings-Empirical results indicate that supplier relationship strategies and information sharing positively impact company performance. Conversely, relationship with consumers who have a negative impact on company performance.
Research limitations/implications- This study's scope is restricted to operational factors that impact company performance, such as customer relationships, supplier relationship strategies, and information sharing. The study's findings can be utilized by businesses as a foundation for assessment to optimize variables that may impact their performance.
Originality/value- It can be argued that there is still a dearth of research on the performance of banking institutions operating in the Special Region of Yogyakarta. No prior studies have addressed the performance of these institutions with regard to operational factors like supplier relationship strategies, customer relationships, and information sharing.
Restoring nationalism among Indonesian descendants through Indonesian folklore teaching-class in Southern Mindanao Philippines
Authors: Hannun Syaharanie Mulya , Passau Sheila Nur Salsabila , Mocodompis Geovani
Published: January 2024

The inability of speaking Bahasa Indonesia within children of Indonesian descendants abroad is quite concerning considering the fact that they receive little to no exposure of general knowledge of Indonesia. The purpose of this paper is to demonstrate how Davao international community service in the Philippines restore the nationalism among children of Indonesian descendants, with several projects delivered by students. The activity of delivering folklore to children in General Santos, Southern Mindanao, is one of the projects. The students conducted the project using the teacher-centered approach because it is believed to be able to improve the efficiency of learning. This project is successful measuring from how enthusiastic the taught children during class as the children were also gaining Bahasa Indonesia vocabulary proven by the fact that students were able to answer the quizzes with Bahasa Indonesia and slowly recognizing several places as well as its folklore.
The Association of Parents Feeding Practices and Eating Behaviors of Children Between 2 to 6 Ages in Türkiye
Authors: İNAN Cihan , ÖDEN AKMAN Alkım , ÇUHACI ÇAKIR Bahar , KARA UZUN Aysun
Published: January 2024

Objective: To evaluate the relationship between the feeding practices of parents of preschool children and the eating behaviors of children.

Material and Methods: The parents who had 2 to 6 years of age children without chronic disease and had completed the transition to supplementary foods were included (n=315). Family demographic, socioeconomic information and children’s anthropometric measurements were recorded. The parents completed the “Child Feeding Questionnaire (CFQ)”, and “Children’s Eating Behavior Questionnaire (CEBQ)”.

Results: The mean age of the children participating were 46±14.63 months and 46.7% (147/315) of the children were girls. As parents’ perceived responsibility for feeding increased, the children’s food responsiveness tended to decrease. In parents who had concerns about their child’s weight, their children’s eating behavior was associated with higher food responsiveness and enjoyment of food and lower satiety responsiveness, slowness in eating, and emotional undereating.

Conclusion: Parents’ healthy eating attitudes can be part of a process that encourages children to model healthy eating behaviors. ‘Satiety responsiveness’, ‘slowness in eating’, and ‘emotional under-eating behaviors were observed more frequently with the attitude of restriction and pressure for eating.
AVALIAÇÃO DA ATIVIDADE POZOLÂNICA DE RESÍDUOS DE CERÂMICA VERMELHA
Authors: Freitag Milena Friedrich , Niemczewski Juliana Alves de Lima Senisse , Polesello Eduardo
Published: January 2024

Com a importância da destinação dos resíduos sólidos industriais e a clara necessidade de estudo de alternativas sustentáveis de resíduos como adição mineral em concreto, este trabalho teve como objetivo avaliar o potencial pozolânico de resíduos de cerâmica vermelha (RCV), que foram coletados em 4 empresas do Rio Grande do Sul, além de compará-los com o metacaulim, material já utilizado como pozolana na construção civil. Todos os materiais foram caracterizados quanto as suas propriedades físicas e químicas, avaliando os requisitos que um material precisa ter para ser considerado pozolânico conforme NBR 12653, além da realização de micrografias por microscopia eletrônica de varredura eletrônica (MEV) e análise química por espectroscopia por energia dispersiva (EDS). As amostras de RCV foram beneficiadas em moinho de bolas e utilizou-se o material passante na peneira de 75 µm. Apesar dos resultados não terem sido satisfatórios e nenhuma amostra pôde ser classificada como pozolana, inclusive o metacaulim, os mesmos são fundamentais para avaliação das metodologias empregadas nos ensaios.
DESFLORESTAMENTO METROPOLITANO E IMPACTOS AMBIENTAIS DECORRENTES
Authors: Almeida Josimar Ribeiro de , Aguiar Laís Alencar de , Barbosa Oscar Rocha , Matta Patrícia dos Santos , Gurova Tetyana , Cunha Tatiana Santos da
Published: January 2024

A expansão urbana na região de Petrópolis é decorrente de intenso desmatamento para moradia e outras atividades antrópicas. Desflorestamento é a causa principal de desequilíbrios ecológicos, resultando em: inundações, diminuição da porosidade do solo e desertificação. Através da técnica de AIA de análise semiqualitativa estudou-se possíveis prejuízos e benefícios da expansão urbana na localidade, se as mudanças eram passíveis ou não de ocorrência e seu nível de impactação. Observou-se que a probabilidade de ocorrências de prejuízos era muito maior que a de benefícios. O resultado corrobora a literatura, sendo assim, foi visto que a vegetação possui papel importante no controle hídrico da localidade, e também na integridade física e química do solo. A probabilidade de consequências catastróficas, por conta do desmatamento, é extremamente alta, e mesmo as consequências de médio porte possuem capacidade de impactos ambientais que tendem a ser irreversíveis. O desmatamento intensifica  as consequências das grandes precipitações frequentes no verão do Estado do Rio de Janeiro, logo, quanto maior o desmatamento,  maior a probabilidade de eventos recorrentes e intensos resultantes das grandes precipitações. Logo, é necessário um controle da expansão urbana na região para diminuir o impacto ambiental hídrico na região.
LOCAÇÃO DE CENTRO DE TRIAGEM DE RESÍDUOS SÓLIDOS URBANOS POR PROCESSO DE ANÁLISE HIERÁRQUICA
Authors: Almeida Vanessa Guirra , Nascimento Paulo Sérgio de Rezende
Published: January 2024

Os métodos de análise multicriterial para tomada de decisão vêm sendo utilizados como ferramentas de auxílio na gestão dos resíduos sólidos. O Processo Analítico Hierárquico (AHP) consiste na ordenação de decisão por níveis hierárquicos, os quais permitem uma visão global das relações entre os níveis, possibilitando ao decisor o entendimento do sistema como um todo. O objetivo foi definir uma área para a implantação de um centro de triagem de resíduos sólidos (RSU) no município de Barra dos Coqueiros, no estado de Sergipe, empregando o método multicriterial de Análise Hierárquica. O procedimento constou da análise de imagens orbitais, documentos relacionados à legislação municipal e seleção de três áreas testes. Os critérios adotados no AHP foram o tamanho da área, distância do adensamento urbano, titularidade do terreno e proximidade do sistema viário. Os resultados demonstraram que a melhor alternativa para instalação de um centro de triagem é a área C, com relação às áreas A e B. A área está situada na Rodovia Barra Atalaia Nova, afastada do adensamento urbano, possui acesso ao sistema viário, é domínio da prefeitura e possui a maior área, critério considerado de maior importância na análise hierárquica. As principais contribuições é a possibilidade da utilização do AHP para decisões envolvendo o poder público na gestão de resíduos sólidos urbanos. Importância para definir metodologias quali-quantitativas e direcionar, de forma assertiva, a seleção de terrenos para a locação de centros de triagem de RSU.
ANÁLISE DE IMPACTOS AMBIENTAIS SOBRE A FAUNA EM MALHA RODOVIÁRIA
Authors: Gurova Tetyana , Matta Patrícia dos Santos , Vitorio Cleber Vinicius Akita , Pereira Raphael do Couto , Ferreira Letícia Cardoso , Almeida Josimar Ribeiro de
Published: January 2024

As rodovias representam avanços sociais de grande importância. No entanto também estão associadas a importantes impactos ambientais negativos, sobretudo desmatamento e redução da fauna. Dentre tais efeitos negativos, a mortalidade da fauna por atropelamento tem destaque. O entendimento do impacto ambiental causado pelo atropelamento da fauna é fundamental para o gerenciamento ambiental de rodovias. Até o momento, a avaliação deste tipo de impactos é feita de forma quantitativa e muito superficial. O propósito deste trabalho é propor uma metodologia de avaliação da significância do impacto causado pelo atropelamento da fauna silvestre, através da definição de atributos intrínsecos aos animais silvestres atropelados em função de suas características ecológicas, para em seguida, combiná-los segundo uma função matemática predeterminada, aportando peso ao atropelamento de diferentes espécies.
Dental Radiography in Age Determination: Contemporary Methods and Trends
Authors:   Division of Oral and Maxillofacial Radiology, Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Thailand, Chulamanee Pornpattra , Panyarak Wannakamon ,   Division of Oral and Maxillofacial Radiology, Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Thailand
Published: January 2024

The determination of an individual's age assumes paramount significance in forensic and legal contexts, necessitating the utilization of diverse techniques. Dental radiography emerges as a non-invasive approach for determining age-related dental changes. This method grants a comprehensive analysis of various dental features to identify an individual’s precise age, place them within designated age ranges, or define whether they exceed or subordinate to specific age thresholds. This review summarizes age estimation methodologies using dental radiography and conducts the investigations into contemporary trends by reviewing relevant studies published in Pubmed between 2020 and 2023. Age categorization delineates into three distinct phases: pre-natal, neo-natal, and post-natal; childhood and adolescence; and adulthood. Panoramic radiography becomes the predominant radiographic modality, with the Demirjian method is more commonly known for age estimation age in the initial two phases. In contrast, adulthood age estimation relies on anatomical changes. Significantly, artificial intelligence (AI) technology has recently attracted attention for age estimation, yielding promising results. AI demonstrates the potential to enhance the accuracy of conventional methodologies, diminishing human errors and mitigating associated workload burdens, offering inventive ground for future advancements.
In silico Docking Analysis of the FDA-Approved Drugs on Envelope Protein of SARS CoV-2 Omicron Variant
Authors: Paul Prisho Mariam , Parthasarathy Krupakar , S Rao Sudhanarayani , Sounderrajan Vignesh
Published: January 2024

The current pandemic situation is created by the highly evolving SARS coronavirus 2 which is having several mutations in its structural proteins. The structural proteins of SARS CoV-2 include spike (S), Envelope (E), Membrane (M), and Nucleocapsid (N) which are primarily responsible for the infection, transmission, and pathogenesis of the virus. Envelope protein is the smallest of the four proteins containing 75 amino acids with a molecular weight of about 8 kDa. The major functions of the hydrophobic envelope protein include envelope formation, budding, replication, and release of the virion. The presence of mutation on the envelope protein results in improper formation of the pentameric structure and also hinders other functional properties. Our computational analysis majorly focuses on several FDA-approved inhibitory compounds that bind to SARS CoV-2 envelope protein that help in the inhibition of virion formation. The percentage of similarity of the envelope protein between SARS CoV and SARS CoV-2 is approximately 96 percent. The homology-modeled structure of the SARS CoV E protein was downloaded from Protein Model Database (PMDB) and the mutation which was found to be consistent among most of the SARS CoV-2 variants was selected as T9I which is present in the N-terminal region. This mutation was introduced into the SARS CoV Envelope protein and was remodeled. The ligands which were approved by FDA were selected for docking analysis to understand their binding capabilities with the envelope protein. Ligands such as Beta-D-Fucose, Mycophenolic Acid, Castanospermine, 1-Deoxynojirimycin, Nafcillin, Guaifenesin, Nabumetone, Cinametic Acid, Lauric acid were used in our study. The docking simulations revealed that Lauric acid, Nafcillin, Nabumetone, and Mycophenolic acid have high binding energy with the SARS CoV-2 wild type (Wuhan) and mutant E protein of the SARS CoV-2 (Omicron) variant. This Insilico data gives insights to test these high binding compounds in invitro studies to prove their efficacy and the protein-protein interactions of envelope protein with its other partnering proteins. These pharmaceutical compounds are a potential alternative in the future for a novel drug development to treat several emerging variants of SARS CoV-2.
Phytochemical Composition, Antimycotic and In vivo Antiinflammatory Activities of Marine Algae Inhabiting South Jeddah Seashore, Red Sea, Saudi Arabia
Authors: Abusuliman Aghaida M. , Amin Abeer S. , A. Higo Mona , Saddiq Amna A. , M. Tag Hend
Published: January 2024

The Red Sea coastline is known for its diverse range of seaweeds, which have been hypothesized to possess therapeutic attributes. The primary aim of this research was to evaluate the antifungal and anti-inflammatory characteristics of the ethanol crude extract obtained from two types of algae, namely Padina pavonica (P. pavonica) and Laurencia catarinensis (L. catarinensis) from the Red Sea. It was revealed from FTIR analysis of P. pavonica and L. catarinensis ethanolic extracts that the strong band at 3366 cm−1 and 3339 cm−1 corresponds to alcoholic O-H stretching in both extracts. GC-MS phytoconstituent profile of the extract was dominant with a wide range of chemical classes mainly steroids, terpenes, fatty acids, fatty acid esters, retinoid derivatives, alcohols, carotenoids and alkanes. The results of the antifungal activity assay indicate that P. pavonica had the strongest activity against Aspergillus fumigatus, with a mean value of 23.50 ± 0.55 mm. Similarly, L. catarinensis demonstrated significant antifungal activity against Candida albicans, with a mean value of 21.00 ± 2.64 mm. The hemolysis exhibited a positive correlation with the dosage of extracts, with an observed increase in hemolysis as the dosage increased. Besides the antiinflammatory activity of the algal extracts induced by carrageenan demonstrating a dose-dependent relationship between the inhibition of paw edema and the dosage of the extract.
Assessment of IL-6, MDA, GSH and Serum Electrolytes in Diabetic Patients
Authors: Al-Kufaishi Ali M. A. , Al-Shukry Abtisam F. , Al-Musawi Noor J.T.
Published: January 2024

Background: The public health community has been paying a lot of attention to metabolic syndrome, sometimes known as diabetes mellitus (DM). In many cases for the patients with type 2 diabetes mellitus characterized by an uncontrolled rise in blood sugar (hyperglycemia) brought on by an inability of the body's cells (such as muscles) to detect and utilize the circulating insulin, a condition known as insulin sensitivity or insulin resistance, or by an insulin deficiency. (caused by pancreatic beta cell damage or decreased insulin release). These cases are accompanied by systematic inflammation in the long term, and as a result of the immune effect, there will be an increase in the levels of lipids peroxidation and thus a decrease in the levels of antioxidants. Objective: The study includes an evaluation of inflammatory levels and oxidative stress through an assay of IL-6, malondialdehyde, glutathione, and serum electrolyte levels in the patients with uncontrolled type 2 diabetes mellitus compared with the control. Methods: The case-control study, where ablood sample collections from patients with uncontrolled type 2 diabetes mellitus and control apparently healthy. The samples were analyzed by ELISA, spectrophotometers, and electro-analyzer apparatus. Results: It was found that patients with uncontrolled type 2 diabetes have lower-grade inflammation, which is the reason for the significant increase in interleukin-6 (215±13 Pg/mL) compared with healthy (50±10 Pg/mL). Also, the high levels of free radicals and peroxides can be expressed by the increase in malondialdehyde, as well as a significant reduction in the levels of glutathione value. Patients with uncontrolled type 2 diabetes suffer from electrolyte disturbances due to excessive urine caused by high osmolality and metabolic acidosis due to high ketone bodies and consequently high potassium levels (hyperkalemia) (6.7±0.59 mmol/L). Conclusion: Uncontrolled high diabetes in type 2 patients leads to high inflammatory levels in the body, and this is the reason for increase interleukin 6 levels. Inflammations caused by the immune effect resulting from diabetes lead to the synthesis of higher levels of free radicals, leading to the oxidation of lipids and a decrease of glutathione concentration.
Protective Effect of Aspirin Against Gentamicin-Induced Hepatotoxicity in Rats Model
Authors: Moafa Asmaa , Aldossary Sara A. , Al mohaini Mohammed , J. Alsalman Abdulkhaliq
Published: January 2024

Gentamicin is an extensively used antibiotic with potent antimicrobial exertion, but its clinical mileage is limited by its eventuality to induce hepatotoxicity. This study aimed to probe the defensive effect of aspirin against gentamicin-convinced hepatotoxicity in a rat model. Adult manly Wistar rats were divided into four groups control, aspirin, gentamicin, and aspirin- gentamicin. The creatures were treated for 15 successive days, and colorful biochemical parameters were estimated. Pre-treatment with aspirin significantly downgraded the adverse goods of gentamicin on liver weight. It also eased the elevation of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) situations, indicating the preservation of liver function. Aspirin treatment suppressed hepatic lipid peroxidation, as substantiated by a reduction in malondialdehyde (MDA) situations. likewise, it averted the reduction of glutathione (GSH) situations and catalase exertion convinced by gentamicin administration. These findings suggest that aspirin exerts a hepatoprotective effect by reducing oxidative stress and enhancing antioxidant defense mechanisms. The protective mechanisms of aspirin may involve its anti-inflammatory properties, as well as its antioxidant effects. Aspirin has the potential to inhibit inflammation-induced liver injury and modulate signaling pathways involved in cell survival and apoptosis. However, further investigations are needed to elucidate the precise molecular mechanisms underlying its protective effects. Overall, pre-treatment with aspirin demonstrated a protective effect against gentamicin-induced hepatotoxicity in this rat model. It mitigated liver damage, preserved liver function, and enhanced antioxidant defense mechanisms. These findings suggest that aspirin could be a potential therapeutic agent for the prevention and management of drug-induced liver injury. Further studies, including clinical trials, are necessary to determine the optimal dosage, duration, and safety profile of aspirin in humans.
METODOLOGIAS ATIVAS NA FORMAÇÃO INTERPROFISSIONAL: relato de experiência do PET-Saúde interprofissionalidade
Authors: Oliveira Anne Araujo de Jesus , Santos Jailton Silva dos , Duarte Lorena dos Santos , Pinheiro Paloma Andrade
Published: January 2024

Introdução: O modelo biomédico de atenção à saúde tem sido substituído pelo biopsicossocial, que apresenta como um dos seus pilares a Educação Interprofissional, cuja proposta está voltada para a potencialização das ações e dos serviços de saúde, através da reorientação das bases conceituais metodológicas presentes no processo de formação do profissional. Objetivo: Apresentar metodologias ativas interprofissionais vivenciadas por discentes participantes do Programa de Educação pelo Trabalho para a Saúde (PET-Saúde)/Interprofissionalidade. Métodos: Trata-se de um relato de experiência de atividades desenvolvidas com ações de integração ensino-serviço-comunidade com carga horária de oito horas semanais, em um período de dois anos, entre março de 2019 a março de 2021. As equipes eram compostas por tutores (docentes), preceptores (profissionais em exercício) e estudantes (graduandos da área da saúde. Resultados: Foram explanadas quatro vivências obtidas através das atividades desenvolvidas no PET-SAÚDE/Interprofissionalidade, sendo elas: Compartilhando saberes, Oficina do portfólio coletivo, Oficina do diagnóstico situacional e planejamento estratégico e Role-play. Conclusão: As vivências contribuíram para o aprendizado da atenção ao paciente de forma integral e do trabalho cooperativo entre diferentes áreas do saber, com interprofissionalidade, tanto no ambiente acadêmico como no cenário de assistência à saúde.
AVALIAÇÃO DOS EFEITOS DA PANDEMIA DA COVID-19 EM IDOSOS PRATICANTES DE ATIVIDADES FÍSICAS
Authors: Nobre Peniche Evelin Aline , Garcia Leal Fábia Évine , Nogueira Dias Souza Hildeana , Barbosa Bezerra Juciléia
Published: January 2024

Introdução: A pandemia tem alterado o estilo de vida da população. Objetivo: avaliar osefeitos da pandemia da COVID-19 em idosos frequentadores do Serviço Social do Comercio(SESC). Materiais e Métodos: Pesquisa quantitativa, desenvolvida com idosos com idadeigual ou maior que 60 anos. Os dados foram coletados por meio de entrevistassemiestruturadas realizadas de forma remota via ligações telefônicas com 120 idosos,levantando informações relacionadas a dados sociodemográficos; saúde emocional;atividade física e saúde. Resultados: Mais de 50% dos participantes praticaram o isolamentosocial e afirmou que a pandemia influenciou no seu estado emocional. Houve associaçãoentre atividade física e horas sentadas por dia. Conclusão: Conforme os resultados, apandemia influenciou no aspecto emocional dos participantes e quem praticou atividadefísica permaneceu menos tempo sentado.
APLICATIVOS E TERMOS DE CONSENTIMENTO: um estudo sobre o comportamento digital dos brasileiros na pandemia
Authors: Vianna Fernando , Peinado Jurandir , Da Rosa Maia Ressetti Vianna Juliana , Tonon Leonardo , Ka Francis
Published: January 2024

O contexto digital e suas controvérsias analisadas pelas disciplinas que versam tecnologia e sociedade, ganharam importância acadêmica na área de Administração. Assim, esse artigo buscou analisar o comportamento dos indivíduos frente à captura, processamento e compartilhamento de dados durante a pandemia, a partir das lentes de um novo modelo de colonialismo: o colonialismo de dados. Para tanto, desenvolvemos uma survey de março a maio de 2020, com 516 respondentes, apresentando diferentes níveis de escolaridade e faixas etárias. Resultados indicaram um aumento do consumo de aplicativos de comunicação e de entretenimento, e a redução do uso de aplicativos de transportes e hospedagem. Além disso, 37% dos respondentes não acredita que seus dados sejam utilizados eticamente pelas organizações, e os usuários que menos leem os termos de consentimento são aqueles com maiores graus de instrução. Tais fatos caracterizam a opacidade dos sistemas algorítmicos, contribuindo para a sedimentação do colonialismo de dados.
Vestigial Tail Associated to Spinal Lipomas: Report of Seven Cases
Authors:   Department of Pediatric Neurosurgery, UMAE Hospital, Siglo XXI, CdMx, México., Alejandra Arce-Lozoya Mayra , Griselda Ramírez-Reyes Alma ,   Department of Pediatric Neurosurgery, UMAE Hospital, Siglo XXI, CdMx, México., Ángel Arredondo-Navarro Luis ,   Department of Pediatric Neurosurgery, Hospital Civil Fray Antonio Alcalde, Guadalajara, Jalisco, México., Sakhrekar Rajendra ,   Department of Orthopaedics, The Hospital For Sick Children, Toronto, Canada.
Published: January 2024

Objective: Vestigial tail is a rare form of cutaneous stigmata often related to occult spinal dysraphism. We present 7 cases of vestigial tail associated to tethered cord and spinal lipomas in the Pediatric Neurosurgery Service of the Hospital Civil de Guadalajara. Methods: In this retrospective study from 2017-2022 we reviewed the spinal dysraphism data base of the Hospital de Guadalajara and included the cases of vestigial tails. Results: 7 patients, 5 female and 2 males with vestigial tails were included. Six different morphologies of tails are described so as their location and relationship to occult spinal dysraphism. All the patients received surgical treatment. Complete resection of the cutaneous stigmata and cord detethering were performed in four cases related to fatty filum terminale and the remaining three of the patients required radical resection of associated complex conus medullaris lipomas. All the surgical procedures were performed with microsurgical techniques and neurophysiological monitoring. Conclusions: The different classifications include two main forms of tails, true tail and false tail. Most true tails represent only a cosmetic issue, while the false ones are often in close relationship with spinal dysraphism. Considering the risk of underlying malformations associated with false human tails, the preoperative assessment should include a thorough neurological examination, and a spine magnetic resonance imaging. We present the association of several forms of spinal lipomas related to vestigial tails. Keywords: Vestigial tail, Tethered cord, Spinal lipoma, Pseudo tail, Occult spinal dysraphism.
Surgical Management of Cervical Myelopathy: Current Algorithm
Authors:   Department of Spine Surgery, MIOT International, Chennai, Tamil Nadu, India., Dhillon Charanjit Singh , Chhasatia Nilay ,   Department of Spine Surgery, MIOT International, Chennai, Tamil Nadu, India.
Published: January 2024

Cervical myelopathy (CM) is a progressive disorder associated with a varied spectrum of etiological factors. Cervical spondylotic myelopathy (CSM) encompasses two-thirds of the cases of CM, while ossified posterior longitudinal ligament (OPLL) and ossified ligamentum flavum (OLF) are significant regional etiological factors. Microvascular disruption, resulting from repetitive dynamic compression or static pressure to the spinal cord, is attributed as a primary pathophysiological mechanism for CM. Magnetic resonance imaging (MRI) is the investigation of choice to assess the spinal cord. Lateral cervical radiographs are crucial for lordosis assessment, and tomographic scans (CT) can delineate the extent of OPLL and OLF. Non-surgical treatment is usually not successful once the patient develops progressive myelopathy. Anterior cervical procedures are ideal for one or two level disc-osteophytes complexes or in patients with kyphotic cervical alignment. Laminoplasty is an effective motion-preserving option in patients with adequate cervical lordosis. Laminectomy or laminoplasty and fusion are optimal for patients with significant preoperative neck pain. Posterior surgery is preferred over anterior surgery for CM involving three or more levels. Older age at presentation, longer duration of symptoms, and severity of pre-operative symptoms are adverse prognostic factors. Progressive cervical myelopathy is a surgical disease, and early intervention is rewarded with better outcomes. Keywords: Cervical myelopathy, Cervical spondylotic myelopathy, OPLL, OLF, Laminoplasty, Laminectomy, ACDF, Cervical corpectomy.
Selection and cultivation of seaweed Kappaphycus alvarezii using a long line system (outdoor)
Authors: Satriani Gloria I. , Soelistyowati Dinar Tri , Alimuddin Alimuddin , Arfah Harton , Effendi Irzal
Published: January 2024

In outdoor cultivation at Amal Beach, three seeding mass selections were reared for 30 days for each cycle. Each variety had a different DGR %/day (Daily Growth Rate %/day) value at the end of the growing season on G1-G2-G3 ranging from 3.62-5.90 %/day, which were still categorized as good, and G3 var.Lampung had the highest DGR value. Carrageenan yield values in this study, G1 to G3, ranged from 23.16% to 45.87%, where the G3 G2 G1 treatment. The best thallus samples (20% were selected for each generation) resulted in carrageenan yield sample population in each variety, where var.Lampung var.Tarakan var.Kupang. The biplot analysis shows that the DGR variable vector coincides with the IAA, Phosphate, Gibberellin, and Ammonia vectors. Ammonia stepwise regression analysis (sigα) affects DGR with an Ammonia coefficient value of 4.89; meaning that for each increase in the Ammonia value by one unit, the estimated mean value of DGR will increase by 4.89. Thus, the application of the mass based on the results of this study was able to increase the DGR value Kappaphycus alvarezii, which in turn produce the highest yield of carrageenan with K. alvarezii var.Lampung G3 was the best seed candidate to be developed at the seaweed cultivation site in Tarakan City.Keywords:AlgaePhytohormonesCarrageenanNitrogenViscosity
Suitability analysis of spiny lobster mariculture zones in Sabang waters, Indonesia
Authors: Ismail Ismail , Muhammadar Muhammadar , Firdus Firdus
Published: January 2024

The lobster aquaculture industry has a high dependence on natural catch. Hence, lobster farming has become necessary. The waters in Sabang have the potential for developing lobster mariculture, but data is not yet available on the conditions of the aquatic environment that are suitable for lobster farming. This research aims to determine which locations are suitable for lobster mariculture activities in the waters of Sabang. The research parameters are divided into geographics, physicochemical, and supporting parameters. The geographical parameters group was collected through in-situ observations, and physicochemical parameters were measured in-situ and laboratory tests, supporting parameters through observations. Initial data analysis used the SAW (Simple Additive Weighting), AHP (Analysis Hierarchy Process) methods, and spatial analysis to determine the suitability of lobster cultivation zones with the Geographic Information System (GIS). From the observations of geographical parameters, the three locations of the observation station were in the very suitable category. The results of measuring physicochemical parameters group in three research locations were very suitable. Based on observations of other supporting parameters, Lhok Krueng Raya is very suitable for the cultivation zone, while Teupin Sirui and Lhok Weing are suitable. The findings of this research indicate that location protection, accessibility, DO, and COD are limiting parameters for selecting a suitable location for lobster mariculture in Sabang waters.Keywords:Suitability analysisLobster farmingSabangGIS
Model of nitrogen-phosphorus ratio and phytoplankton relationship in lake Laut Tawar, Indonesia
Authors: Adhar Saiful , Khalil Munawwar , Erlangga Erlangga , Muliani Muliani , Rusydi Rachmawati , Mainisa Mainisa , Imanullah Imanullah , Andika Yudho
Published: January 2024

Phytoplankton blooms in the lake cause ecological, economic, health, energy, and aesthetic losses. It reduces water quality and biota diversity, creates toxins in the waters, and changes the structures and functions of the ecosystem. The essential nutrients for the growth of phytoplankton are nitrogen and phosphorus. Controlling phytoplankton growth can be managed by controlling the limiting nutrient input. This study aims to identify the limiting nutrient, analyze variations in TN:TP ratio spatially and temporally, and model TN:TP ratio and chlorophyll-a relationship. This study used secondary data from previous studies, namely TN, TP, and chlorophyll-a observed monthly in seven stations purposively during a year. Rainfall data was also obtained from the previous study. Limiting nutrients were determined by Redfield theory, and data were analyzed by Spearman correlation, One-way ANOVA, Kruskal-Wallis, and regression analysis. The results showed phosphorus was a limiting nutrient for phytoplankton growth in Lake Laut Tawar.  TN:TP ratio and chlorophyll-a did not vary spatially, indicating the lake surface waters were evenly mixed. The parameters varied temporally, expressing the influence of hydroclimatological factors, especially rainfall. Rainfall increases nutrient input to the lake, but only rain below 200 mm/month causes an increase in the concentration of nutrients in the lake. The rainfall above 200 mm/month increases lake water volume significantly, thereby reducing nutrient concentrations. TN:TP ratio and chlorophyll-a related negatively and formed a non-linear relationship with an empirical model Chlorophyll-a = 2770.285 (TN/TP)-1.871. Eutrophication of Lake Laut Tawar should be anticipated by controlling the anthropogenic phosphorus input.Keywords:AnthropogenicChlorophyll-aEutrophication,Limiting nutrientRainfall
Organisation, information processing, and policy change in US federal bureaucracies
Authors: Workman Samuel , Robinson Scott E. , Bark Tracey
Published: January 2024

We examine the shape of policy change in the US federal bureaucracy. Punctuated equilibrium suggests institutional friction and limited attention as prime influences on policy change. We build on this literature by exploring how organisational forms shape policy change. We also conceptualise the key difference between budgets and laws as measures and use this distinction to motivate our new approach to modelling the shape of policy change. We use the considerable organisational variation in the US federal bureaucracy as the empirical foundation for the analysis, collecting a new data set on the regulatory agenda containing 63,289 items from 2008 to 2016. We use an innovative points-over-threshold approach to show how to move from typical descriptive analysis of policy change distributions to models of tail behaviour. This approach is more amenable to textual data than previous approaches based on percentage change distributions. The findings suggest that departmental bureaucracies, independent boards and commissions, and government corporations experience different patterns of policy change. We relate organisation and delegation to adaptability and resiliency in institutional and policy-system design. Larger organisations exhibit smoother, less disjointed policy dynamics, while smaller organisational forms exhibit fatter tails and less adaptive policy change. Our findings suggest that larger bureaucracies may handle change in task environments and problem definitions more easily than smaller organisations. The findings challenge the typical view that smaller, nimble organisations handle change better.
The challenges experts face during creeping crises: the curse of complacency
Authors: Wesal Zaman Ahmad , Rubin Olivier , Staupe-Delgado Reidar
Published: January 2024

The policy literature has generally conceptualised crises as urgent public threats with clearly demarcated ‘focusing events’. Consequently, most studies have identified the main challenges faced by expert agencies involved in evidence-based policymaking as managing uncertainty, time pressure and communication. However, less focus has been devoted to analysing the concrete challenges faced by expert agencies during creeping crises. Creeping crises are characterised by spatial and temporal fragmentation and elusiveness, which create an additional challenge for expert agencies: placing the crises on the political agenda. Comparing two global creeping crises: climate change (CC) and antimicrobial resistance (AMR), this article highlights two distinct strategies for influencing policymaking. The analysis shows how two expert agencies, the World Health Organization (WHO) and the United Nations Framework Convention on Climate Change (UNFCCC), pursue different strategies when setting the global agenda and influencing policymaking. The findings show that the WHO’s approach to policymaking regarding AMR has been mostly guided by top-down, science-led, formal engagements and strategies. This approach has successfully increased the salience of the global challenge of AMR, providing strong, evidence-based solutions, but it has been less successful in promoting the challenge onto the global political agenda. In contrast, the UNFCCC’s approach to policymaking has relied more on horizontal, bottom-up, multidisciplinary, informal strategies. This approach has enabled a broader coalition of advocacy actors and placed CC persistently on the global political agenda. In this way, the article enhances our understanding of the role experts play in drawing attention to creeping crises.