bluuebunny/crossref_metadata_2025 huggingface dataset:
Neural Network Feature Selection Based on Collaborative Filtering Recommender Systems for User Classification
Authors:   Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia, Elham Elham ,   Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia,   Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia,   Faculty of Computing and Informatics, Multimedia University, 63100, Cyberjaya, Malaysia, .. Su-Cheng , Ng Kok-Why , Naveen Palanichamy
Published: April 2024

In today’s competitive markets, it is crucial to render personalized assistance tailored to unique individual’s needs. To accomplish this goal, a recommender system represents a noteworthy progression in collaborative filtering recommender systems. This shift highlights a broader research focus that extends beyond algorithms to encompass a diverse array of questions related to the functionality of the recommender. The identification accuracy must be assessed as a function of how well the suggested approach fits with a user's wants and needs, particularly in the context of collaborative constraint-based functions. The next phase of research must focus on defining parameters for assessment which may be used to compare the performance of constraint-based algorithms across a wide variety of diverse issues. It is currently necessary to design, or at criteria for assessment for constraint-based algorithms. We have addressed key research challenges related to the following topics: constraint-aware machine learning, understanding parameters in solution spaces, metrics for assessing constraint-based systems, algorithm selection, machine learning considerations, and investigating constraint-based platforms, and elucidations.
An IoT Device-Level Vulnerability Control Model Through Federated Detection
Authors:   Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia; Centre for Research in Data Science (CeRDaS), Computer Information Science Department, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia, Umar Umar ,   Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia; Centre for Research in Data Science (CeRDaS), Computer Information Science Department, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia,   Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia;  Centre for Research in Data Science (CeRDaS), Computer Information Science Department, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia,   Computer and Information Sciences Department, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia; Computer Sciences Department, Faculty of Natural and Applied Science, Umaru Musa Yar’adua University Katsina, Nigeria,   Civil and Environmental Engineering, Faculty of Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia, .. Kamaluddeen Usman , Hassan Mohd Fadzil , Muazu Aminu Aminu , Liew M. S.
Published: April 2024

In the rapidly expanding Internet of Things (IoT) landscape, the security of IoT devices is a major concern. The challenge lies in the lack of intrusion detection systems (IDS) models for these devices. This is due to resource limitations, resulting in, single point of failure, delayed threat detection and privacy issues when centralizing IDS processing. To address this, a LiteDLVC model is proposed in this paper, employing a multi-layer perceptron (MLP) in a federated learning (FL) approach to minimize the vulnerabilities in IoT system. This model manages smaller datasets from individual devices, reducing processing time and optimizing computing resources. Importantly, in the event of an attack, the LiteDLVC model targets only the compromised device, protecting the FL aggregator and other IoT devices. The model's evaluation using the BoT-IoT dataset on TensorFlow Federated (TFF) demonstrates higher accuracy and better performance with full features subset of 99.99% accuracy on test set and achieved average of 1.11sec in detecting bot attacks through federated detection. While on 10-best subset achieved 99.99 on test with 1.14sec as average detection time. Notably, this highlights that LiteDLVC model can potential secure IoT device from device level very efficiently. To improve the global model convergence, we are currently exploring the use genetic algorithm. This could lead to better performance on diverse IoT data distributions, and increased overall efficiency in FL scenes with non-IID data.
Tuomikirvaennuste 2024 – talvehtivia tuomikirvoja vähän
Authors: Huusela Erja
Published: April 2024

Tuoreen tuomikirvaennusteen perusteella kotimaisista tuomikirvoista ei juuri ole uhkaa tulevalla kasvukaudella. Paikallista vaihtelua määrissä voi kuitenkin olla.
Kasvinsuojelupäivä 2024
Authors: Piekkari Nelli , Isotupa Jasmin
Published: April 2024

Peltokasvijaoston organisoima Kasvinsuojelupäivä järjestettiin 30.1.2024 Hämeenlinnassa HAMK Visamäen kampuksella. Tapahtuma toteutettiin toista kertaa hybriditapahtumana eli osallistuminen oli mahdollista sekä paikan päällä että etänä. Paikan päälle Hämeenlinnaan oli saapunut noin 80 kuulijaa ja etäyhteyksien päässä kuulijoita oli noin 65.
Exploring Students' Reading Fluency and Accuracy through the Implementation of ORVT
Authors: Siahaan Rismauli Diana Pudyastuti , Simanjuntak Debora Chaterin
Published: April 2024

Reading is an indispensable foundational skill crucial for success in life. However, numerous Indonesian students encounter difficulties with reading comprehension, as highlighted in the PISA National Report. Addressing this challenge necessitates a focus on enhancing both reading fluency and accuracy. The Oral Reading Verification Test (ORVT) is a valuable tool to assess reading ability and guide interventions. This study used quantitative methods, focusing on improving students' reading comprehension through the ORVT. A total of 61 junior high school students from grades VI, VII, and IX participated in the study, with assessment results revealing progress in comprehension and specific error patterns. Pronunciation errors topped the list in grades 7, 8, and 9, with an average percentage of 51.71%. The three classes' achievement on the reading comprehension assessment reached an average of 85.1%, understanding well (complete). The results showed improvement in reading comprehension, highlighting areas of strength and improvement across different aspects of oral reading skills (highly satisfactory). This study underscores the effectiveness of ORVT in improving reading skills and emphasizes the importance of targeted support for reading comprehension.
Enhancing Junior High School Students' Speaking Skills: An Evaluation of the Fishbowl Strategy's Effectiveness
Authors: Gulo Arisonia Elisabeth Yohana , Simanjuntak Debora Chaterin
Published: April 2024

This study explores the extent to which junior high school students' speaking abilities can be developed through the use of the Fishbowl strategy. The study employs a comparative research design with a quantitative methodology, wherein one group is taught conventional methods, and the other group is taught using the Fishbowl strategy. Data was collected through pretest and posttest assessments and a questionnaire to measure students' attitudes toward the strategy. The results indicate that there is a significant effect in students' speaking skills after using the Fishbowl strategy, as evidenced by the average n-gain value of the experimental group. Analysis shows a significant difference between students taught using the fishbowl strategy and students taught using the conventional method, with a significance value of 0.030. The survey results also revealed that the majority of students reported increased confidence and motivation to speak English after using the Fishbowl strategy as 64% of respondents agreed that they had become more confident, while 51% stated that they were more motivated to speak English after using this strategy. In conclusion, the Fishbowl strategy is effective in improving students' speaking skills, confidence, and motivation in speaking English in junior high school.
Students’ Perceptions of Using TikTok Application in Improving Pronunciation
Authors: Silaban Dewi Azeng Kartini Br. , Marpaung Marlin Steffi
Published: April 2024

The research aims to explore students’ respond toward the use of TikTok in mastering English pronounciation skills, to find out students’ perception in learning English pronounciation through the use of TikTok, and to know the effectiveness of TikTok in learning pronunciation. The study employed a quantitative approach. The instument used in this study was a questionnaire with 30 statements by using a Likert scal to gather the data from 84 students in various study programs at Universitas Advent Indonesia.  The results indicated that students have a positive perception of using TikTok for English pronunciation practice. This is indicated by how the UNAI students responded, 45% of student that TikTok can be used to master English pronunciation. 45% sudent also agree that TikTok can be used to learn English pronunciation. Lastly 45% student also agree that TikTok is effective for learning pronunciation for UNAI students. In conclusion, the findings suggest that TikTok can be an effective tool for improving English pronunciation skills among university students.
Improved Proportionate Symmetric Backward Adaptive Speech Enhancement Approach
Authors: Bendoumia Redha , Hassani Islam , Abed Ahcene
Published: April 2024

This research focuses on the development of speech enhancement techniques for two-channel audio systems. Specifically, we explore the utilization of an efficient sparseness recursive algorithm to tackle this challenge. The algorithm is designed to identify and attenuate noise components present in the audio signals, with the aim of improving the overall audio quality. In this investigation, we propose innovative approaches and enhancements to the sparseness recursive normalized least mean square (NLMS) algorithm, denoted Backward µ-law Proportionate NLMS (BMPNLMS), making it more suitable and effective for two-channel speech enhancement. By capitalizing on the sparsity properties of the audio signals, techniques proposed in this paper aim to enhance the desired audio while suppressing unwanted noise. Performance of the presented algorithm was examined by rigorous experiments based on several criteria. The obtained results thoroughly confirm the effectiveness of the proposed approach in real-world situations.
A clinico-pathological analysis of Ivermectin-induced toxicity in eight Hermann’s Tortoises treated for tick infestation
Authors: Binhambali Abdulhakeem , Halidu Musa , Ibrahim Dauda , Idris Zainab , Abdulsallam Raji , Attah Raphael
Published: April 2024

This study presents a clinico-pathological examination of ivermectin-induced toxicity in eight Hermann's tortoises, administered to address tick infestation. Subsequently, nervous signs were observed, leading to the demise of five tortoises. Clinical manifestations included inappetence, weakness, diarrhea, tremors, and paralysis preceding death. Postmortem examination revealed hemorrhagic lung tissues, fatty liver, and significant tick infestation. Laboratory analysis detected Borrelia spp. in blood smears, Oxyuris spp. eggs and cysts in fecal samples, and Escherichia coli and Salmonella enterica in microbial cultures. Histopathological analysis indicated hepatic vacuolar degeneration. The correlation between clinical, pathological, and histopathological findings suggests acute infection and drug toxicity, particularly ivermectin toxicity. The tortoises, initially weighing an average of 900 grams, were pets at Niger Resort Minna and were presented to the Nigerian Police Veterinary Hospital, Garki 2 on the 27th of May 2023, after exhibiting symptoms of inappetence and severe diarrhea following the administration of 1% ivermectin (Ivanor from Jubaili Animal Health Ltd) at a dose rate of 0.04 mg/kg. Three tortoises died shortly after administration, with two succumbing within hours.
Impact of mobile usage among Phase 1 medical undergraduates: A cross-sectional study
Authors: Palaparthi Lissie , Myla Achyuth , Myla Vijaya , Cheedem Krishna , Songa Ratna , Mummadi Padma
Published: April 2024

Background: Mobile phone usage has dramatically expanded over the past 10 years, especially among students. Because smart mobile phones have nearly all the additional capabilities of personal digital aid, including desktop synchronization, access to email, internet surfing, and third-party applications, they have become an alternative to portable computers. At the same time, excessive use of mobile phones has negatively impacted their perceived health, resulting in symptoms such as fatigue, stress, headaches, difficulty focusing, and a negative impact on their academic performance. The present study was conducted in this context to observe the effects of mobile usage among Phase 1 medical undergraduates.

Aims and Objectives: The aims and objectives are to study the impacts of mobile usage among Phase 1 medical undergraduates and to explore the change in attitudes, evaluate the addiction, and assess the effects of mobile usage among medical undergraduates.

Materials and Methods: A cross-sectional study was conducted after obtaining ethics committee approval and consent from 250 phase 1 medical undergraduates from February 2024 to March 2024. Data were collected using a predesigned, pre-tested, semi-structured questionnaire. The analysis was done using the Statistical Package for the Social Sciences software, version 26.0.

Results: Of the 250 undergraduates, the majority (68.4%) were females, and 73.2% were hostlers. Daily time spent on mobile usage was >4 h among 42.4% of undergraduates. Among the undergraduates, 81.2% used mobiles for calling family members, 80.4% for WhatsApp, and 75.6% for study purposes. Self-perception of mobile addiction was reported by 36.5% of undergraduates. Headaches and dry eyes were the most commonly experienced effects due to excessive usage of their mobile devices.

Conclusion: Mobile phone addiction is increasing among medical undergraduates, which has to be addressed with proper counseling to prevent further addiction and curtail the adverse effects of mobile addiction.
Block 1 (pre-clinical and paraclinical) electives for medical students in the new competency-based medical education curriculum – Analysis and evaluation
Authors: Agrawal Manju , Kar Chidaksha , Jaiswal Shikha , Joshi Usha , Chandra Nalini , Dengani Monika
Published: April 2024

Background: Pre-clinical electives were introduced by the National Medical Commission for competency-based undergraduate Bachelor of Medicine and Bachelor Of Surgery program during phase 3-part 1 to provide the learners with an opportunity to gain immersive experience in a particular stream, with the objective to provide learner with opportunities for diverse learning and lateral thinking. The impact of these learning experiences is not available as it was introduced for the 1st time in Indian Medical Colleges.

Aims and Objectives: The present research aims to analyze and evaluate the outcome of the electives in terms of students’ satisfaction (knowledge and skills), teaching and learning methodology, assessment methodology, workload demand, and utility.

Materials and Methods: It was a questionnaire-based (Google form) cross-sectional study conducted among phase 3-part 1 student after completion of elective.

Results: A total of 187 students out of 191 participated in the research. 97.9% (183) were satisfied with the duration, and 79.7% (149) said that the learning objective was useful for their learning experience (topic). 82.3% (154) said that they were allowed to think independently about the topic. 78.9% (147) were satisfied with the assessment components of the elective. 44 (23.5%) felt that it required a low workload, whereas 143 (76.5%) felt that it required a high workload. 28% felt that it should be practically oriented, 20% felt that it should be done after 2nd year, and 20% felt that there should be rotation for multiple topics.

Conclusion: Electives are a good opportunity to gain multi-dimensional knowledge and skills in a particular stream. It gives opportunity to explore more than one topic to augment future study.
Curing social maladies: Reading Juvenal’s Tenth Satire
Authors: Debnath Sudip
Published: April 2024

“Poetry is, at bottom, a criticism of life”, says Matthew Arnold. We know that literature is not only a faithful artistic representation of life but also a medicine which cures the maladies of society. The purpose of correcting the wrongs in society is taken by some litterateurs to be great responsibility. They cannot accept the wrong way life is going. That is why they try to amend the errors committed by people. This practice is seen mainly in satirical works. In all literatures of all ages, there are plenty of writers who satirises the unjust social life. Chaucer’s Canterbury Tales; Alexander Pope’s The Rape of the Lock, An Epistle to Dr. Arbuthnot; Dryden’s Absalom and Achitophel, The Medal, Mac Flecknoe; Jonathan Swift’s Gulliver’s Travels — these are all satires representing critical commentaries on the follies and vices of the mentioned writers’ respective times. However, this trend of writing satires is not a new. If we dig deep into literary history we shall discover that this practice had been there also in ancient literary jargon. The names of Juvenal, Horace and so on may be referred to in this connection. In fact the later satirists carry deep influences from these classical writers who flourished during the reign of Augustus Caesar, the nephew of Julius Caesar. Among the notable literary figures who enlightened the age of Augustus Caesar in Rome, the one whose contribution is unavoidable is Juvenal. In this paper, we are going to have an analytical study on Juvenal’s Tenth Satire.
Status quality of life in hypertensive patients at Hue University of medicine and pharmacy hospital
Authors: Han Ny Dang Thi , Hai La Thanh , Xuan Mai Thi Thanh
Published: April 2024

Background: Quality of life is becoming a central issue in patient care. In response to the increasing prevalence of hypertension worldwide, it is important to understand quality of life in hypertensive patients. Objective: To describe the quality of life in hypertensive patients at Hue University of Medicine and Pharmacy Hospital. Materials and Methods: The study was conducted on 172 subjects from May 2020 to July 2021 on hypertensive patients being treated at the Internal Medicine Department - Hue University of Medicine and Pharmacy Hospital. The study used a cross-sectional descriptive research method. Descriptive statistics were used to test the mean score of quality of life. Results: WHOQOL – BREF Cronbach’s alpha coefficient for 26 items is 0.811, demonstrating good internal consistency. Based on the 33rd and 66th percentile scores on the total quality of life score, most of the patients participating in the study rated the quality of life at an average level when comprehensively surveyed across four domains. In which, the average score in the field of environment has the highest rate (mean score is 55.32; SD = 10.29), the lowest is in the field of physical health (average score 45.67; SD = 13.57). Conclusion: WHOQOL - BREF is a useful and highly reliable tool to assess the quality of life of hypertensive patients. With these results achieved, action is needed to improve the quality of life of hypertensive patients.
MARCADORES DE ESTRESSE OXIDATIVO EM CÃES COM NEOPLASIAS: REVISÃO SISTEMÁTICA E METANÁLISE
Authors: Lobo Bruna Batista , Ferraz Murilo Catelani , Ciarlini Paulo César
Published: April 2024

O estresse oxidativo (EO) é definido como o desequilíbrio entre a concentração de oxidantes e a capacidade antioxidante total do organismo, podendo ocasionar dano celular em diversos tecidos. Marcadores como o malondialdeído (MDA) e substâncias reativas ao ácido tiobarbitúrico (TBARS) são amplamente utilizados para avaliar a peroxidação lipídica, enquanto enzimas como a glutationa peroxidase (GSH-Px) e a superóxido dismutase (SOD), juntamente com antioxidantes não enzimáticos, como o alfa-tocoferol, desempenham papéis fundamentais na defesa antioxidante. Devido as discrepâncias de resultados sobre o tema, realizamos uma revisão sistemática e metanálise com o objetivo de identificar os marcadores de EO sistêmico e tecidual que mais frequentemente se alteram em cães com neoplasias. Três bases de dados com maior número de artigos de interesse foram identificadas no portal periódico CAPES: Academic Research, SCOPUS e Pubmed. Trabalhos dessas bases foram exportados para o aplicativo Rayyan, onde foi realizada, às cegas, a seleção de artigos, remoção das duplicatas e aplicação dos critérios de inclusão: estudos controlados em população canina, neoplasia confirmada por exame histopatológico e com quantificação de marcadores de estresse oxidativo. Após esta etapa, foram selecionados 19 artigos. O nível de evidência foi feito conforme Oxford Centre for Evidence-Based Medicine e a metanálise foi realizada com auxílio do programa Review Manager versão 5. A peroxidação lipídica (MDA) foi confirmada no sangue, porém não nos tecidos quando estimada pelo TBARS, sugerindo que este é menos sensível e específico para avaliar o estresse oxidativo em cães com neoplasia. Menores concentrações de α-tocoferol foram confirmadas apenas no tecido, sugerindo que esta deve ser a amostra de escolha nas investigações sobre estresse oxidativo das neoplasias. Há escassez de estudos bem estruturados e com baixa heterogeneidade que permitam estabelecer um bom nível de evidência sobre o estresse oxidativo de cães com neoplasia. Apesar de tais limitações metodológicas, as metanálises confirmam o estresse oxidativo sistêmico (aumento de SOD e MDA) e tecidual (aumento de SOD e diminuição de tocoferol) em cães com neoplasia.
CORRELAÇÃO CLÍNICA E FARMACOLÓGICA NO USO DE DROGAS VASOATIVAS PARA O TRATAMENTO DO CHOQUE
Authors: Fontenele Esther Sampaio , Ferreira Patricia da Silva , Ferreira Alexsander Pippus , Oliveira Ozarlan Michel Pereira de , Santos Wanderson Paiva dos , Ferreira José Alef Bezerra , Mata Mário Alfredo Urbina , Villalobos Juan Pablo Merino , Garcia Ericel Hernández , Sá Marcos Vinicios Alves de , Mottin Juliana Veiga
Published: April 2024

As doenças agudas frequentemente resultam em desequilíbrio na homeostase cardiovascular, com possíveis alterações no volume sanguíneo (real ou efetivo), na função cardíaca (diastólica e/ou sistólica) ou nos vasos (grandes vasos e/ou microvasculatura). Este estudo tem como objetivo analisar as drogas vasoativas utilizadas no tratamento do choque. Revisão abrangente com abordagem qualitativa realizada por meio da Biblioteca Virtual de Saúde (BVS), utilizando as bases de dados do PubMed e cruzando os descritores "Drogas vasoativas", "Choque" e "Manejo". O estudo investigou a eficácia das drogas vasoativas no tratamento do choque, demonstrando melhorias significativas na estabilidade hemodinâmica e na sobrevida dos pacientes. A utilização das drogas vasoativas no tratamento do choque mostra-se crucial, promovendo estabilização hemodinâmica e potencializando a recuperação dos pacientes em estado crítico. Essas intervenções farmacológicas oferecem uma abordagem promissora para enfrentar emergências médicas, fornecendo suporte vital necessário em situações de instabilidade cardiovascular aguda e complexa, especialmente em contextos hospitalares especializados.
STANDARDIZATION OF AN EFFICIENT EXPERIMENTAL GESTATIONAL DIABETES PROTOCOL
Authors: Mascarenhas Fernanda Naves Araújo do Prado , Ribeiro Maria Júlia Neves , Silva Natália Ferreira , Duarte Rener Mateus Francisco , Espindola Foued Salmen , Vieira Carlos Ueira , Zanon Renata Graciele
Published: April 2024

Diabetes mellitus (DM) is characterized by a dysfunction in insulin secretion and/or action which causes hyperglycemia. When the disease occurs during pregnancy, it is called gestational diabetes mellitus (GDM), and hyperglycemia affects the fetus's development. The present study aimed to standardize an efficient model of GDM induction in Wistar rats using streptozotocin (STZ). Therefore, the animals are placed for mating overnight, and the next day the presence of sperm is verified in the vaginal wash, indicating the first day of gestation (G1), and after five days (G5), the pregnant rats were induced to diabetes, intraperitoneally, using STZ, at a dose of 50 mg/kg. The animals were weighed, and their blood glucose levels were measured (pre-mating, G7, and G17), being considered diabetics when blood glucose ≥ 200 mg/dL. After birth, the puppies were evaluated for the number of individuals, gender, and stillbirths. The blood of mothers was collected to assess oxidative damage caused by diabetes. The results showed efficacy in the use of the alternative dye gentian violet for sperm and cell identification. Weight gain, hyperglycemia, and the presence of oxidative damage showed an efficient GDM induction for 55.6% of total animals, considered a successful protocol superior to those commonly observed by those researchers in the GDM study area. Also, we observed a higher number of stillbirths in the GDM group, confirming data from the literature that characterize the hyperglycemic environment as hostile to the development of the fetus.
BRT RODOFLUVIAL EM CIDADES DA AMAZÔNIA: O CASO DE BELÉM - PA
Authors: Tobias Maisa Sales Gama , Fiedler Luan Carlos Paiva , Oliveira Victória Lima de , Pinto Amanda Gracielly dos Santos , Moura Robson Ryan Sousa , Anjos Igor Eduardo Fernandes dos , Moraes Rita de Cássia Monteiro de
Published: April 2024

O transporte fluvial urbano, de maneira geral, na Amazônia, está restrito à operação em travessias dos rios e pela orla de núcleos urbanos. Belém do Pará é um desses exemplos, que depende do transporte fluvial para o ir e vir das pessoas, principalmente, de áreas periféricas, nas viagens continente-ilhas e vice-versa. Algo que facilitaria a vida dos usuários seria o transporte integrado à rede intermodal urbana e inserido na política de transporte do município. O trabalho analisa a integração do transporte fluvial à rede intermodal urbana através do BRT Rodofluvial. Duas propostas para Belém são comparadas, com foco na inclusão social, mobilidade urbana e cidadania. A análise considera a estrutura operacional, incluindo terminais e demanda. Nos resultados obtidos, verificou-se que existe a demanda potencial, porém, há diversos desafios a serem vencidos, tais como a seleção tecnológica de embarcação e a elaboração de uma estrutura tarifária que proporcione a integração dos sistemas de transporte urbano.
ANÁLISE DOS FATORES PSICOLÓGICOS QUE INFLUENCIAM A MOTIVAÇÃO NO TREINAMENTO DE CORREDORES DE ASSESSORIAS DE CORRIDA DA CIDADE DE CURITIBA
Authors: Santos Matheus Souza dos , Andrade Elena Marie Peixoto Ruthes de , Andrade Junior Antonio Beira de , Fin Gracielle , Carvalho Diego de
Published: April 2024

Introdução: A corrida tem sua participação histórica desde suas origens relacionadas a necessidades humanas básicas até eventos contemporâneos como a Corrida de São Silvestre no Brasil. A Teoria da Autodeterminação (TAD) é apresentada como um alicerce conceitual, destacando autonomia, competência e relacionamento como necessidades psicológicas básicas. Estratégias de motivação são apresentadas para promover a autodeterminação em atletas, destacando feedback positivo, metas orientadas ao processo e relações sociais. O estudo destaca a motivação como fator impulsionador para comprometimento, adesão, dedicação, autoeficácia e satisfação pessoal na prática consistente da corrida de rua. A justificativa para a pesquisa reside na falta de estudos detalhados sobre fatores psicológicos que influenciam a prática da corrida de rua entre atletas amadores, buscando preencher essa lacuna.Objetivo: O objetivo principal desta pesquisa foi de analisar os fatores psicológicos envolvidos na motivação para prática de corrida de rua entre atletas amadores.Método: Foi analisado fatores psicológicos em corredores amadores da cidade de Curitiba/PR utilizando os questionários online que foram aplicados, como o Inventário de Beck para avaliar sinais e sintomas de ansiedade, para a motivação foi utilizada a versão Portuguesa do Behavioral Regulation in Sport Questionnaire (BRSQ), para avaliação das Necessidades Psicológicas Básicas, foi utilizada a versão portuguesa da Basic Psychological Need Satisfaction and Frustration, e para a avaliação da satisfação com a vida, foi aplicada a Escala de Satisfação com a Vida.Conclusão: Conclui-se ressaltando a importância de considerar fatores psicológicos na compreensão da motivação para a corrida de rua, especialmente ansiedade e gênero.
A (IM)PENHORABILIDADE DAS CONTAS DE DEPÓSITO ESCROW
Authors: Dias Luís Fernando Marques
Published: April 2024

O texto aborda a relevância dos contratos de depósito escrow no mundo empresarial, destacando sua importância como forma de garantia em diversas operações negociais, passando por sua origem nas transações imobiliárias e aplicação ampla nos negócios jurídicos tanto em países com tradição de common law como nos de civil law, incluindo o Brasil. Antes de adentrar as especificidades do contrato de deposito escrow, o texto esclarece as diferenças entre este instrumento legal e outras figuras correlatas, tais como os contratos de depósito, mandato e estipulação em favor de terceiros. Em sequência, o artigo busca destacar como os contratos de depósito escrow oferecem uma alternativa segura para a celebração de negócios jurídicos, proporcionando proteção às partes envolvidas, especialmente ao comprador, que se beneficia da minimização de riscos de responder por passivos anteriores ao fechamento do negócio e que são de responsabilidade exclusiva do vendedor. Por fim, o texto questiona a possibilidade de bloqueio judicial de ativos em contas escrow para saldar dívidas das partes que não estão relacionadas ao negócio original, destacando que, embora algumas decisões judiciais permitam a constrição, essa prática pode desconsiderar a natureza, peculiaridades e legalidade dos contratos escrow.
Enhancing E-Learning Platform for Higher Education
Authors:   Computer Science and Engineering Chandigarh University Mohali, India, Yadav Ayush
Published: April 2024

The use of e-learning platforms in higher education has grown in popularity in recent years. Systematic study into the efficiency and improvement of these platforms is still necessary, though. This report does a thorough analysis of e-learning websites for higher education in an effort to close this gap. Utilizing both qualitative and quantitative techniques, such as literature reviews, data analysis, and user surveys, we examine the main features of e-learning websites and how they affect students' educational experiences in higher education settings. The research's conclusions offer insightful information about the layout, operation, and usability of e-learning environments, with potential applications in raising student happiness, learning results, and engagement levels. Keywords—E-Learning, Higher Education, Educational Technology, Learning Management Systems, User Experience, E-Learning Platforms, Student Engagement, Online Learning
Exploring the Transformative Impact of Fintech on Banking, Finance and Insurance Industries
Authors:   Faculty of Management Studies CMS Business School- Jain, Reddy Mohit S
Published: April 2024

This comprehensive research study explores the transformative impact of financial technology (fintech) on the banking, finance and insurance sectors. The study develops a conceptual framework that examines the various dimensions of fintech's influence, including technological advancements, digital financial services, emerging AI technologies, automation trends, financial inclusion, and the regulatory environment. Through a rigorous analysis of both secondary and primary data, the research provides valuable insights into user adoption and behaviour patterns towards fintech services, as well as the sector-specific challenges and opportunities presented by this disruptive force. The key findings of the study highlight the democratizing impact of fintech, where innovative technology platforms are enabling the execution of financial operations that were previously exclusive to traditional financial institutions. This shift is driving a fundamental transformation in the way banking, finance, and insurance services are delivered and consumed. The research also delves into the application of emerging technologies, such as artificial intelligence and blockchain, and their transformative potential in improving operational efficiency, enhancing risk management practices, and enabling more personalized financial services. The study's proposed conceptual framework serves as a valuable tool for industry leaders, policymakers, and practitioners to navigate the rapidly evolving fintech landscape and make informed strategic decisions with effect to convenience of consumers in the adoption of advancements in fintech services. The research recommendations address the need for balanced regulations that support fintech advancements while ensuring consumer protection and financial stability. By providing practical insights and a comprehensive understanding of the fintech phenomenon, this study aims to guide the banking, finance and insurance industries in adapting to the disruptive forces of financial technology. Keywords: Fintech Revolution; Artificial Intelligence, Blockchain, Banking, Finance, Insurance, Transformative Impact; Proposed Framework, User Adoption and Behaviour, Conceptual framework, Technological advancements, Financial inclusion, Regulatory environment, Democratization of financial services, Operational efficiency, Risk management, Personalized financial services, Industry transformation, Strategic decision-making, Practical insights, Disruptive innovation.
IDsMA: AN INTEGRATED DIGITAL SIGNATURE AND MUTUAL AUTHENTICATION MECHANISM FOR SECURING THE COGNITIVE RADIO NETWORKS
Authors:   Dept. of Computer Science,  Sethu Institute of Technology,  Pulloor, Tamil Nadu 626115, S Er.Gowsalya,
Published: April 2024

IDsMA, an Integrated Digital Signature and Mutual Authentication mechanism, is proposed to enhance the security of Cognitive Radio Networks (CRNs). With the proliferation of wireless communication, CRNs face increasing vulnerabilities to unauthorized access and malicious attacks. IDsMA addresses these concerns by offering a robust solution that combines digital signatures and mutual authentication protocols. By employing digital signatures, IDsMA ensures the authenticity and integrity of transmitted data, mitigating the risk of data tampering or forgery. Additionally, mutual authentication protocols establish trust between communication entities, verifying the identities of both the transmitter and receiver. This two-way authentication mechanism enhances the overall security posture of CRNs, safeguarding against unauthorized access and potential threats. IDsMA's integrated approach provides a comprehensive security framework tailored to the dynamic and heterogeneous nature of CRNs, enabling reliable and secure communication in wireless environments. Through its effective deployment, IDsMA aims to foster trust, confidentiality, and integrity in CRNs, facilitating their widespread adoption and utilization in modern wireless networks.
MediBot: Revolutionizing Healthcare with an Intelligent Online Medicine Ordering Assistant
Authors:   Department of Information Science and Engineering  Don Bosco Institute of Technology, Bangalore, India  Pin.: 560074, S R, Dr Shankar Gowda
Published: April 2024

The integration of AI (Artificial Intelligence) in healthcare has witnessed significant advancements, contributing to improves patient experiences. This study introduces an AI chatbot designed specifically for medicine ordering, aimed at enhancing accessibility, efficiency, and user satisfaction in the healthcare sector. The chatbot uses Natural Language Processing (NLP) to understand and respond to user needs related to medicine orders. By using a traditional relational database of pharmaceutical information, the chatbot provides accurate details on various available medicines. The chatbot offers a user-friendly interface accessible via various platforms such as web applications, making it convenient for users to interact and place medicine orders. Users can efficiently place medicine orders through the chatbot interface, which facilitates a efficient ordering process. Additionally, the chatbot provides real time order tracking, keeping users informed about the status and tracking orders. By introducing and AI Chatbot for medicine ordering, this research aims to revolutionize the healthcare industry’s approach to medication management. This research work represents the Chat flow, components of a chatbot, Implementation using Dialogflow. Keywords-Chatbot, Artificial Intelligence, Dialogflow, Advantages.
Review Paper: “A Study on Effective Inventory Management And Control
Authors:   Student of Master of Management  Studies, Alamuri Ratnamala Institute of  Engineering and Technology, Mumba, shaikh Aatif Latif
Published: April 2024

This study delves into the critical role of inventory management and control in enhancing operational efficiency for businesses across various sectors. With globalization and technological advancements shaping contemporary market dynamics, efficient inventory management has become imperative for organizations striving to maintain competitiveness and profitability.
Blooms & Bytes Nurturing Garden with Smart Irrigation – Planning
Authors:   Department of Electronics, Premlila Vithaldas Polytechnic  (SNDT Women’s University), Borade Ms. Siddhi Sanjay
Published: April 2024

Blooms and Bytes: Nurturing Garden with Smart Irrigation proposes a cutting-edge solution to address the challenges of water scarcity and inefficient irrigation practices in gardens. The project integrates advanced technology to automate and optimize watering processes, ensuring sustainable plant growth while conserving water resources. Through the implementation of hardware components such as solenoid valves, water filters, and pressure pumps, coupled with automation facilitated by microcontrollers and real-time clock modules, the system offers precise control over irrigation schedules. Additionally, a cloud monitoring system enables remote management and monitoring of the garden layout. The project outlines a comprehensive implementation plan, market research insights, and budget considerations, emphasizing the benefits of water conservation, environmental sustainability, and time efficiency. Collaboration with NGOs and funding agencies is sought to support the project's implementation. Overall, the proposed smart irrigation system presents a promising solution to promote eco-friendly gardening practices and contribute to sustainable development goals. Keywords: Water conservation, Automation, Sustainable Technology, Smart irrigation
Roles of Supply Chain Management in Corporate Outsourcing
Authors: Singh Pawan Kumar
Published: April 2024

This paper critically examines the critical role of Supply Chain Management (SCM) in outsourcing companies, emphasizing its critical importance for organizational growth and success in today’s business environment. Through an in-depth analysis of SCM practices, the paper clarifies how SCM strategies effectively enhance readiness transfer and improve overall performance. It emphasizes the complex links between SCM and outsourcing firms, and highlights the key role SCM plays in ensuring quality, efficiency and risk reduction throughout the outsourcing process emphasize. Furthermore, the paper explores the integration of knowledge management theory and customer behavior insights into SCM practices, highlighting their importance for optimizing corporate outsourcing efforts. It advocates a dynamic approach to SCM integration, and emphasizes the continuous development of supply chain practices to meet the dynamic requirements of an ever-changing business environment In other words and all together, this paper provides valuable guidance for policymakers, stakeholders and practitioners looking to navigate the complexity of the corporate environment outsourcing. Keywords Supply Chain Management (SCM), Outsourcing, Cost optimization, Operational efficiency
A Study on Feedback Mechanisms, Managerial Skill Enhancement, and Evaluation Fairness of Performance Management.
Authors:   Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, M.N .JOSIKA
Published: April 2024

Performance management plays a crucial role in the success of any organization, serving as a framework for assessing employee performance, providing feedback, and guiding professional development. In the dynamic landscape of modern businesses, the effectiveness of performance management practices is paramount for maintaining a motivated and productive workforce. Recognizing the significance of this aspect, this study delves into the feedback mechanisms, managerial skill enhancement, and evaluation fairness within the performance management framework at Innoart Technologies. By examining these key components, we aim to gain insights into how the company can optimize its performance management processes to foster employee growth, ensure managerial effectiveness, and uphold fairness and transparency in performance evaluations. In doing so, we endeavor to contribute to the enhancement of organizational performance and the cultivation of a positive work environment at Innoart Technologies.
Scoliosis and Knee Osteoarthritis Classification and Detection using X-Rays
Authors:   Student, Computer Engineering, Sinhgad Academy of Engineering, Kondhwa, Pune, Maharashtra,, Patil Sahil Dinesh
Published: April 2024

Medical imaging plays a pivotal role in the early detection and accurate classification of musculoskeletal disorders. This study focuses on the development of a robust and efficient system for the detection and classification of two prevalent musculoskeletal conditions: scoliosis and knee osteoarthritis, using X-ray images. Scoliosis is a lateral curvature of the spine, while knee osteoarthritis involves the degeneration of knee joint cartilage and underlying bone.The proposed system leverages state-of-the-art deep learning techniques to automatically detect and classify these conditions from X-ray images. The workflow involves three main stages: preprocessing, feature extraction, and classification. During preprocessing, the X-ray images are normalized, noise-reduced, and anatomical landmarks are identified for accurate alignment. Key Words: Detection and classification, knee osteoarthritis, ordinal classification, X-rays.
The Study of Merger and Acquisitions: Value Creation and Risk Management
Authors:   School of Business, Galgotias University, Greater Noida, India, verma Jeetu
Published: April 2024

This master thesis explores the intricate dynamics of Mergers and Acquisitions (M&A) with a focus on understanding the dual dimensions of value creation and risk management. In the contemporary corporate landscape, M&A activities have emerged as pivotal strategic tools for companies seeking growth, diversification, and competitive advantage. The research aims to provide a comprehensive analysis of how these transactions contribute to shareholder value while effectively navigating associated risks. The literature review establishes the foundation by synthesizing existing knowledge on M&A, spanning historical context, economic impact, financial performance, and corporate governance. Special attention is given to theories and models related to value creation and risk management in M&A, providing a comprehensive overview of the multifaceted nature of these transactions. The research methodology adopts a mixed-methods approach, incorporating both quantitative and qualitative techniques. A carefully selected sample of companies engaged in M&A activities serves as the focal point for data collection. Financial analyses, surveys, and content analysis of relevant documents constitute the primary tools for gathering insights into the chosen topic. Variables related to value creation and risk management are defined and measured using a combination of financial metrics, qualitative assessments, and established measurement scales. The study pays close attention to ethical considerations, ensuring participant privacy and data confidentiality throughout the research process. The anticipated findings aim to shed light on the factors influencing successful value creation in M&A, providing insights into post-merger integration strategies, financial performance, and the broader economic implications of these transactions. Additionally, the research seeks to identify effective risk management practices that contribute to mitigating challenges associated with M&A, including cultural differences, regulatory compliance, and integration hurdles. By presenting a rigorous and well-justified research methodology, this thesis seeks to contribute to the existing body of knowledge on M&A, providing valuable insights for practitioners, policymakers, and academics interested in understanding the intricacies of value creation and risk management in the context of mergers and acquisitions Index Terms- Mergers, Acquisitions, Risk management, Value creation, Facebook, Du Pont, WhatsApp.
A Study on the Role of Mobile Advertising in Reaching and Engaging Rural Consumers in India
Authors:   JAIN (Deemed-to-be-University), Begum Dr. Salma
Published: April 2024

The rapid use of mobile technology in contemporary India presents marketers with an unprecedented opportunity to engage and build a relationship with rural consumers. More than 60% of Indians reside in rural areas, thus it's critical for companies trying to expand their market share to comprehend the unique demands of mobile advertising in these contexts. This abstract outline the significance of mobile advertising in reaching and interacting with rural consumers in India and highlights the role that it plays as a strategic tool for bridging the gap between urban and rural consumer access and engagement. This study examines the unique characteristics of the rural Indian market, emphasising factors such as a diversity of cultural backgrounds, limited access to traditional media, and shifting socioeconomic conditions. The findings of the study demonstrate the diverse preferences and usage patterns of rural consumers with regard to mobile advertising. Key findings highlight the importance of individualised messaging to build trust, the applicability of content that is relevant for the local and cultural context, and the role that interactive formats have in encouraging participation. These findings are crucial in creating actionable recommendations for marketers trying to maximise the effectiveness of their mobile advertising campaigns targeting rural customers. Keywords: Mobile advertisement, Rural consumers, purchase decision