bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on Interplay Between Innovation, Entrepreneurship, And Development at The National Level in India
Authors: Arshiya Anjum A  , Dr.Ranjith Kumar
Published: March 2024

In the context of India, the interplay between innovation, entrepreneurship, and development has emerged as a critical driver of economic growth and social progress. This study explores the dynamic relationships among these key factors at the national level, shedding light on how innovation and entrepreneurship contribute to the overall development of the country. Utilizing a multi-faceted research approach, including data analysis, case studies, and expert interviews, this research provides insights into the complex web of interactions between innovation, entrepreneurship, and development. The findings reveal that innovation plays a pivotal role in driving entrepreneurship, which, in turn, fuels economic development. Entrepreneurship acts as a conduit for translating innovative ideas into practical solutions, leading to job creation, increased productivity, and the growth of small and medium-sized businesses. The study also highlights the significance of policy interventions and infrastructure development in fostering innovation and entrepreneurship. Moreover, the research underscores the importance of education and skill development in nurturing a culture of innovation and entrepreneurship, particularly among India's youth. The study identifies five key drivers: innovation, entrepreneurship, development, policy, and education, which collectively shape the landscape of economic and social progress in India.
Intervension Function: A Mathematical Function
Authors: Dr. Mangirish Varadkar
Published: March 2024

A Mathematical concept is developed. With an intent of modifying, interfere or mediate the outcome. A type of mathematical function which gives a paradyme shift to the Domain of the function or input. Mathematical Function is designed for taking an action to improve or might help a situation.
Geo-Aerospace Blood Circulation in Humans
Authors: Nisarga G Krishna
Published: March 2024

Blood circulatory system is a system that includes heart, blood vessels and blood which is circulated throughout the body. The blood circulation in humans is the process where blood is circulated throughout the body in closed circuits. Blood circulation on land is normal unless sudden position change from sleep to stand and prolonged standing. When a body freely falls in standing position in air towards earth, it experiences –G effect as more blood tends to move towards head. When a body accelerates upwards it experiences +G effect as blood accumulates in legs. A fighter pilot’s G-suit also called ‘anti-G suit’ is one-piece jumpsuit that protects pilot from feeling discomfort and losing consciousness from pressure of G-forces bearing down on pilot.  When a person is in microgravity their blood circulation changes drastically. It can cause muscular atrophy, blood pressure lowering etc. What we learn about physiological changes on space has important applications on ground as well, in part because many of the changes seen in space resemble those caused by aging on earth. Important research is being done on the space station to learn more about SANS [Spaceflight Associated Neuro-Ocular Syndrome] and to develop and test counter measures to many possible different cardiovascular changes.
Moonlighting for IT Companies in India 2024 - The Future of Work
Authors: Ramkumar Shanmugavelu  , Umang Gupta  , Vishnu Laxman  , Mohammad Shameem Palgrahi  , Manindra Rajak
Published: March 2024

Moonlighting is the practice of employees covertly working other companies without the knowledge of their legitimate registered employee. In 2022 Wipro discovered employees who were in this practice and took the strictest action against them by terminating their employment and potentially blacklisting them. this also led to a ripple effect of monkey see monkey do in other IT companies and other sector companies. This research aims to use qualitative descriptive analysis and text mining to find the consequence of such actions. This research believes that the long term effect of such moves is not positive for the company. Temporary and cheap labor has been forever the driving force behind a free market economy.  Wipro terminated 300 employees in one swift move and accused them of ‘cheating’. However, this research asks what is the price for loyalty and is loyalty to employee really a desirable requirement or not.
Promoting Women’s Empowerment in Rural Regions: A study of the Self-Help Group Bank Linkage Program in Jharkhand
Authors: Manisha Kumari
Published: March 2024

Historically, many women in India have faced barriers in accessing formal banking services due to cultural norms, lack of awareness and geographical constraints which often limit their ability to engage with mainstream financial institutions. The SHG Bank Linkage Programme, a leading initiative in India, has become a significant tool for societal development specially for women in India. By bridging the gap between marginalized communities and the formal banking system, it is fostering positive change across various social, economic and individual spheres. The collective spirit and peer support within SHGs foster social responsibility and financial discipline, leading to stronger communities and better preparedness for emergencies. This program promotes micro entrepreneurship by facilitating micro credit, resulting in the generation of employment, heightened production and positive impact on the local economy. By supporting women-led SHGs, this programme promotes gender equality and unlock their economic potential, contributing to overall economic development. This research paper analyses the remarkable progress of women-led Self-Help Groups through the SHG Bank Linkage Programme in Jharkhand over five years. The paper specifically focuses on four key factors: Savings, Loan Disbursed, Loan Outstanding, and Non-Performing Assets (NPA). Through the examination of these indicators, the paper aims to present a comprehensive picture of the impact of the SHG Bank Linkage Programme on women's financial inclusion and economic empowerment. This research paper adopts a descriptive approach, relying solely on data collected from secondary sources. This research paper shows how SHG Bank Linkage programme promotes social inclusion and reduced societal discrimination against marginalized communities and women in Jharkhand
Artificial Intelligence in Marketing
Authors: Dr. Jaya kagada
Published: March 2024

Artificial Intelligence in Marketing is a rapidly up-and-coming grassland that is transforming the way businesses move toward their marketing plan. It involves the use of Artificial Intelligence (AI), Machine Learning (ML), and other highly developed technologies to automate and optimize various marketing processes. With the sudden increase of data and the increasing complication of customer behavior, businesses need to influence these tools to stay competitive. This article investigates the concept of Artificial Intelligence in Marketing, its role in modern marketing, its benefits and challenges, best practices for implementation, and moral considerations. It will also look into the future of Artificial Intelligence in Marketing and its potential impact on the marketing landscape.
The Legal and Political Implications of AI Bias: An International Comparative Study
Authors: Ness Stephanie , Sarker Mithun , Volkivskyi Mykola , Nerd Navdeep Singh
Published: March 2024

Purpose: "The Legal and Political Implications of AI Bias: An International Comparative Study" extensively navigates the intricate terrain of AI governance, with a specific focus on the ethical challenges arising from bias in AI systems. The purpose of this study is to underscore the urgent need for robust regulatory frameworks to address issues of bias, discrimination, and fairness within the realm of AI technologies.

Materials and Methods: The research methodology involved a comprehensive analysis of international perspectives on AI bias. This entailed examining existing literature, legal frameworks, and political dynamics surrounding AI governance in various countries. Comparative analysis was conducted to elucidate the diverse approaches adopted by different nations to tackle AI bias and unravel the corresponding legal and political consequences.

Findings: The study highlighted the inherent risks associated with biased algorithms and stressed the paramount importance of proactively detecting and mitigating bias to prevent discrimination and promote fairness in AI systems. Additionally, it advocated for comprehensive measures such as risk management strategies, conformity assessments for high-risk AI applications, and the careful handling of sensitive data to identify and rectify biases that could lead to discriminatory outcomes.

Implication to Theory, Practice and Policy: The study was informed by theories of ethical governance and legal frameworks in AI development and deployment. It was validated through the comparative analysis of international perspectives, which provided insights into the effectiveness of different regulatory approaches in addressing AI bias. Recommendations to practitioners include implementing risk management strategies, conducting conformity assessments for high-risk AI applications, and ensuring the careful handling of sensitive data to identify and rectify biases. Practitioners are urged to prioritize ethical considerations and advocate for responsible deployment practices to mitigate AI bias effectively. Recommendations to policymakers emphasize the need to prioritize ethical considerations and advocate for responsible deployment practices in AI governance. Policymakers are urged to develop robust regulatory frameworks that promote transparency, accountability, and inclusivity in AI development and deployment to build a more equitable and trustworthy AI ecosystem.

In essence, the study provides crucial insights into the complex interplay between legal frameworks, political dynamics, and ethical considerations in addressing AI bias on a global scale. It paves the way for the establishment of fair and unbiased AI systems that benefit society as a whole.
Effects of Occupational Stress on the Mental Health of Nurses in the Limbe and Buea Regional Hospitals, Cameroon
Authors: Florence Binwi , Maina Mezatio Tsopbeng
Published: March 2024

Purpose: Nursing is an extremely stressful job, and high levels of occupational stress are believed to have negative effects on nurses. The aim of this study was to evaluate the prevalence of occupational stress, factors contributing to occupational stress on nurses and effects of occupational stress on nurses’ mental health. A cross-sectional study design was used. The study duration was five months. A sample of 102 nurses was purposively selected to take part in the study from the Limbe and Buea Regional Hospitals, Cameroon and distributed by probability proportionate to size. Data was collected using a well structured questionnaire and entered into an excel spreadsheet then analyzed using the Weiman Occupational Stress Scale(WOSS).

Materials and Methods: Data was presented using tables. A cut off point of 43.6 was used to determine the level of stress. Anyone above 43.6 had severe and anyone below 43.6 had mild effects.

Findings: The study found out that nurses of the hospital were found to experience above average levels of occupational stress with the mean score and individual average score of 59.93 and 3.40 indicating a 51% higher than the established Weiman Occupational Stress Scale mean score of 33.75 and individual average of 2.25. The study found out that 61% of the nurses had severe stress while 39% had mild stress. The study also found that the most common stressors were Long work hours, handling a large number of patients alone and insufficient salary whilst the effects of occupational stress on mental health include: poor appetite, insomnia, depressive mood, trouble falling asleep, staying asleep or sleeping not too much, forgetfulness.

Implications to Theory, Practice and Policy: Nurses should identify and use mechanisms that help them to better cope with stress.
Study Sistem Autostart Genset untuk Supply Darurat IRD (Instalasi Rawat Darurat) RS Wahidin Sudirohusodo Tamalanrea Makassar
Authors: Abdullah Muhammad Nur , Maulina Intan
Published: March 2024

Jurnal Study Sistem Autostart Genset Untuk supply Darurat IRD bertujuan Untuk Mengetahui penggunaan ATS (Automatic Transfer Switch) dan AMF (Automatic Main Failure)  pada Genset  sebagai back-up supply energy listrik dapat mengatasi apabila terjadi pemadaman atau gangguan  energy listrik di  ruang IRD (Instalasi Rawat Darurat), Untuk mengetahui keuntunga-keuntungan dalam pengaplikasian ATS (Automatic Transfer Swich)-AMF (Automatic Main Failure) pada Genset (Generator Set) dapat berjalan secara automatic, Untuk mengetahui cara kerja ATS (Automatic Transfer Switch) dan AMF (Automatic Main Failure)  dapat bekerja secara automatis apabila sumber listrik utama (PLN) terjadi gangguan atau pemadaman. Metodelogi penelitian dilakukan dengan mengumpulkan data-data untuk keperluan penelitian dengan Observasi atau teknik pengumpulan data yang dilakukan dengan mengamati secara langsung objek yang akan diteliti, Melakukan wawancara kepada instansi-instansi yang terkait. Hasil penelitian dapat disimpulkan bahwa dengan penggunaan ATS (Automatic Transfer Swich)-AMF (Automatic Main Failure), Genset (Generator Set) dapat start secara otomatis pada sumber listrik utama terjadi gangguan atau pemadaman. Adapun beberapa keuntungan Genset dapat berjalan secara otomatis antaralain: a) pemindahan daya listrik memerlukan waktu yang sngat singkat, b) mengurangi pekerjaan operator.
Analisis Perbandingan Teknologi 3-Liquid Crystal Display & Digital Light Processing Pada Proyektor
Authors: Abdullah Muhammad Nur , Maulina Intan
Published: March 2024

Seiring dengan perkembangan zaman, manusia berhasil menemukan berbagai macam teknologi yang berguna untuk kehidupan sehari-hari. Penggunaan Proyektor adalah salah satu dari perkembangan teknologi saat ini. Ada dua tipe teknologi proyektor yang sangat populer pada saat ini yaitu teknologi Digital Light Processing (DLP) proyektor dan teknologi 3-Liquid Crystal Display (3LCD) proyektor. Teknologi manakah yang terbaik di antara keduanya? Penelitian ini melakukan pencarian data dari sumber yang dapat dipercaya berupa buku petunjuk manual dari ke dua teknologi proyektor yang akan di bandingakan. Selain itu peneliti juga menyebarkan kuisioner untuk mengumpulkan data untuk mencari perbandingan antara ke dua teknologi tersebut, serta melakukan Observasi dalam rangka melihat langsung perbedaan dari kedua Proyektor tersebut. Kelebihan yang dimiliki oleh teknologi DLP ini antara lain video lebih halus, kotak kecil atau piksel yang kurang terlihat, visi /tampilan seperti film di HDTV, menghasilkan kulit hitam yang lebih hitam, Kontras lebih tinggi, dan ukuran proyektor yang portable. Kelebihan dari LCD adalah penggunaan cahaya yang lebih efisien sehingga dapat memproduksi “ansi lumens” yang lebih tinggi dibandingkan proyektor dengan teknologi DLP. Teknologi 3LCD dan DLP pada proyektor adalah teknologi yang memiliki perbedaan dari segi proses pencahayaan, mulai dari input cahaya sampai di proses atau dirpoyeksikan menjadi gambar atau video. Masing-masing memiliki kelebihan dan kelemahan.
Pengembangan Model Resource Based terhadap Kompetensi Belajar Siswa di SMA Negeri 2 Siabu
Authors: Darwis Darwis , Syaputra Adi
Published: March 2024

Masalah dalam penelitian ini adalah rendahnya kompetensi belajar siswa di SMA Negeri 2 Siabu. Hal ini terjadi karena Kompetensi belajar siswa rendah dalam pembelajaran sehingga belum mencapai tujuan pembelajaran. Penelitian ini bertujuan untuk mengembangkan kompetensi belajar, aktivitas belajar, dan pengelolaan pembelajaran melalui penerapan model resource based learning di SMA Negeri 2 Siabu. Jenis penelitian ini adalah penelitian yang Research and Development atau penelitian dan pengembangan. Penelitian ini dilakukan dengan tujuan untuk mengetahui pengembangan model resource based learning terhadap kompetensi belajar siswa SMA Negeri 2 Siabu. Sampel penelitian adalah kelas eksperimen dan kontrol dengan alat pengumpulan data berupa tes. Analisa data menggunakan uji t yaitu uji yang digunakan untuk menghitung kesamaan dua rata-rata. Dari analisis data diper oleh hasil penelitian yaitu hasil tes belajar kelas kontrol dengan rata-rata pretes 46,67; simpangan baku 8,41 dan rata-rata postes 55,71; simpangan baku 9,783. Kelas eksprimen dengan rata – rata pretes 47,38; simpangan baku 24,14 dan rata-rata postes 60,24; simpangan baku 19,97. Hasil analisis dengan menggunakan uji t pada taraf ? = 0,05 diperoleh t-hitung = 3,79 sedangkan ttabel = 2,02. Maka kriteria pengujiannnya adalah - t1 – 1/2? < t < t1 – 1/2? atau – 2,02 < 3,79 < 2,02 yang menyatakan bahwa Ho ditolak sehingga Ha diterima. Maka dapat disimpulkan bahwa” Terdapat perbedaan yang signifikan terhadap kompetensi belajar siswa dengan pengembangan model di SMA Negeri 2 Siabu.
E-Wallet Security Readiness: A Survey
Authors: Al-Qubati Sana Abdulbaqi , Al-Shaibany Nagi Ali
Published: March 2024

The repercussions of the 2008 financial crisis, growing regulation, and the digital revolution are just a few of the reasons that have caused major changes in the banking and financial sectors in recent years. The fintech phenomenon has emerged as a result of this change, completely altering the way financial services are provided and used. The development of E-wallet security is a key component of this change. The goal of this thorough review is to investigate how E-wallet security has developed, looking at the difficulties, innovations, and potential directions in online transaction security. The article gives a general review of fintech, e-wallets, and electronic payment systems while highlighting the significance of security precautions in safeguarding private financial data. The survey also identifies the risks—such as device, network, platform, and service risks—that come with digital payments. In order to guarantee the security of digital payment systems, it also covers the importance of strong security measures, encryption, data protection, and user awareness. Recommendations for strengthening online payment security and guarding against unwanted access to personal accounts are included in the survey's conclusion.
Causal Modeling to Explore the Correlations among Teachers’ Competence, Teaching Strategies, and Student Learning Achievement in Science
Authors: Postrado Maureen Joy F.
Published: March 2024

The misalignment between the teaching process and expected outcomes of the K-12 curriculum guidelines, traditional teaching strategies, the unresolved problems in the science program and almost absence of teachers’ competence are among the challenges of the education system. Rooted in theory of cognitivism, this perspective underscores the importance of understanding the teachers role in the students learning achievement, which could cause the Philippines to lag behind other countries in international assessment. The study provides a concrete view of the relationship of teaching competence, teaching strategies and student learning achievement through Path analysis using SEM. The data were obtained through descriptive survey among 45 teachers and achievement test results of 450 students in Partido district. There were a total of five variations of methods used by the teachers to teach the science classes, and the dominance of traditional methods was observed. The occurrence of inadequately capacitated teachers in science, does not spell a bright prospect for science education in senior high school. These serious constraints deserve serious attention to pre-empt the situation from evolving into a critical educational concern. The study also found a strong correlation between innovative teaching strategies such as interactive and experiential learning to teachers’ competency. The path analysis through SEM avers that when teaching competence is combined with appropriate teaching strategies, it provides a mediation effect that enhance student learning achievement. This paper suggests that for teachers to uphold and promote innovative teaching strategies, their competitiveness needs to be enhanced and their self-efficacy needs to be strengthened initially.
Attitudes of Sandwich and Postgraduate Students towards the Use of the Sam Jonah Library
Authors: Ayensu Eunice
Published: March 2024

While the library serves as an academic hub for academic activities for students and staff, few post-graduate sandwich students patronise it, and those who visit the library encounter challenges. This study examined the attitudes of sandwich students on the use of the Sam Jonah Library of the University of Cape Coast. A quantitative research method embedded with a descriptive survey design was used. A semi-structured questionnaire was used as a tool for data collection. A purposive sampling technique with 108 students was used using Yamane’s formula. Descriptive statistics such as percentages and pie charts were used to analyse the data. The findings of the study revealed that most sandwich students who visit the library are master’s students; they mostly use the library for their learning. Most students visit the library as often. In terms of challenges, most students said the internet connection should be enhanced to facilitate their research work, while some were of the view that librarians should take time to educate them and provide them feedback. Although there was adequate seating, most of the seats are not in good shape, especially at the research commons, which needs to be replaced. It was therefore recommended that facilities within the library should be well maintained, the seats, computers and other pieces of equipment should be well managed by both students and staff. It is recommended that the library authority, together with the various departments, should seek to ensure that sandwich students are given the needed orientation early to know the sections and where to go for assistance if the need arises.
Relationship between Counselor’s Services Provision and Help-seeking Behavior among Secondary School Students in Laikipia County, Kenya
Authors: Maina Caroline , Mugambi Dr. Doyne , Wawire Dr. Chrispus
Published: March 2024

The purpose of this study was to examine the relationship between counselor’s services provision and help-seeking behavior among secondary school students in Laikipia County, Kenya. Fishbein and Ajzen’s theory of Reasoned Action anchored this research. The researcher utilized correlational research design. The target population of this study consisted of form three students only from three categories of schools (boys boarding, girls boarding and mixed day schools) which make a total of 28 public secondary schools. The sample size of the study was 310 form three students from 10 schools. The researcher used two instruments to collect data from form three students. A pilot study was carried out to ascertain the validity of the instrument. Quantitative data gathered through a questionnaire were analyzed using descriptive and inferential statistics. The results indicated that there was a moderate positive correlation between counselor’s services provision and help-seeking behavior among the students, r (290) = .29, p < .05. The study recommends that teachers should sensitize students on the importance of counsellors to build a positive perception of school counselors to enhance help-seeking behavior among the students. There is a need for the students to be encouraged to seek help whenever they are faced with challenges to reduce cases of problem behavior in schools.
Of War, Moral Duties and Social Reconstruction in Africa
Authors: OLALERE Kunle Oluwafemi
Published: March 2024

Wars are a critical part of human history and development. The history of societies, kingdoms and modern states are replete with different accounts of how great empires were formed and weak ones vanquished. Extant scholarly narratives explore the notion of justice in and during war (jus in bello) but with little or no attention to the very pertinent idea of post-war justice, that is, the lot of the ravaged societies and states, especially as it concerns their reconstruction and rehabilitation. This paper therefore interrogates the question of war and moral duties of States in Africa. Utilizing W.D Ross’ notion of Prima Facie Duties, it establishes the moral agency of states and concludes that there is a pertinent need for International Organizations, Sub-Regional Organizations and States to begin to innovate and deploy indigenous and social approaches as a matter of duty in order to salvage war ravaged regions of Africa.
Research Knowledge Management using Mobile Technologies: Challenges and Solutions at the National Museum of Kenya
Authors: Too Samson Kipketer
Published: March 2024

Knowledge is widely acknowledged as a pivotal asset, and various perspectives underscore the significance of effectively marshaling, deploying, and sharing knowledge within an organization for achieving organizational success. The National Museum of Kenya (NMK) was established with the primary goal of enriching knowledge and facilitating sustainable utilization of research information resources by stakeholders. However, the increasing diversification of knowledge sources has rendered content creation and knowledge management processes complex and laborious. Consequently, this complexity has resulted in inefficiencies throughout the knowledge management process, leading to inadequacies and disorganization. Despite the adoption of knowledge management systems, the integration of mobile phone technology in research activities at the museum has been neglected. This study aimed to scrutinize knowledge management practices at the NMK through the use of mobile apps, examine the associated challenges, and propose viable solutions. The study’s objectives were to investigate the challenges faced by researchers in generating knowledge and recommend feasible mobile technological solutions to address these challenges. The study was guided by the Knowledge Management Process Model, and employed a qualitative case study approach. The target population comprised researchers, knowledge managers, and ICT staff at the museum. Since this study was purely qualitative, data collection was achieved through interviews, and analyzed using narrative methods. The findings indicated that the NMK has implemented web-based systems supporting knowledge management activities. However, mobile phone technology has not been incorporated into any aspect of the museum’s knowledge management support tools. The study highlighted challenges such as; delayed data acquisition, misplacement of specimens, time consuming processes, data inaccuracies, and inefficiencies in knowledge management processes. Further, it was established that relying solely on web-based systems limits the flexibility of researchers in adapting to dynamic field conditions. Thus, this study recommends integrating mobile technologies into the knowledge management process at the National Museum of Kenya as a solution to the highlighted challenges. Mobile apps, known for their effectiveness and reliability, particularly in remote areas, offer a practical solution. This integration empowers researchers with more accessible and versatile tools, fostering improved content creation and knowledge management while ensuring inclusivity and efficiency, even in resource-constrained environments.
Judoda Farklı Tırmanma Antrenmanlarının Çekiş ve El Kavrama Kuvveti Üzerine Etkisi
Authors: Süren Yunus , Gülmez İrfan
Published: March 2024

Araştırmanın amacı, judoda farklı antrenman araçları kullanılarak yapılan tırmanış antrenmanlarının bazı kuvvet parametreleri üzerine etkilerinin incelenmesidir. Araştırmaya 12-14 yaş arası 30 gönüllü erkek lisanslı judo sporcusu katılmıştır. Araştırma grubu, tırmanma merdiveni ve judogi halatı antrenman grubu olarak ikiye ayrılmıştır. Her iki grup judo antrenmanlarına ek olarak 8 hafta, haftada 3 gün tırmanma merdiveni ve judo halatı antrenmanı yapmıştır. Çalışma öncesi ve sonrası, her iki gruba, judogi barfiks çekiş testi, el kavrama kuvveti testi, parmak bası kuvveti testi, judogi izometrik barfiks testi ve judogi dinamik barfiks testi uygulanmıştır. Tırmanma merdiveni ve judogi halatı antrenman gruplarının tüm değişkenlerinin grup içi ön-test ve son test değerleri arasında istatistiksel olarak pozitif yönlü fark olduğu saptanmıştır (p<0.05). Judo antrenmanlarına ek olarak tırmanma merdiveni kullanılarak yapılan antrenmanların, judocuların el kavrama ve üst vücut çekiş performanslarını olumlu yönde geliştirdiği tespit edilmiştir.
AVANÇOS NA TERAPIA FARMACOLÓGICA PARA INFECÇÕES DO TRATO URINÁRIO: UMA REVISÃO BIBLIOGRÁFICA DE LITERATURA
Authors: Mainardo Rodrigues Bezerra Lucas , Maria Helene Carolina , De Moraes Souza Nunes Ana Beatriz , Pessoa dos Santos Elton , Matias Soares Lana Régia , de Oliveira Lima Junior Bernardo , Vidal Rezende Graziele , Lima Lages Furtado Renata
Published: March 2024

Infecções do trato urinário (ITUs) representam um desafio global, impactando a qualidade de vida e gerando custos significativos. A resistência antimicrobiana aumenta a complexidade do tratamento convencional com antibióticos. A busca por terapias inovadoras é crucial para enfrentar esse problema. Objetivo: Esta revisão analisa avanços recentes na terapia farmacológica para ITUs, destacando novos agentes antimicrobianos e terapias não antibióticas. Exploramos também o diagnóstico avançado, abordagens multidisciplinares e o impacto da pandemia de COVID-19 nas ITUs. Desafios em populações específicas, considerações éticas e econômicas, além de estratégias de prevenção, microbiota urinária e medicina de precisão são discutidos. Métodos: Realizamos uma revisão bibliográfica dos últimos 15 anos, incluindo estudos originais e revisões. Critérios de inclusão abrangeram novas terapias, agentes antimicrobianos e avanços no diagnóstico. A busca envolveu PubMed, Web of Science, Scopus e Google Scholar. A amostra final compreendeu estudos relevantes para a terapia farmacológica de ITUs. Resultados e Discussão: Avanços em novos agentes antimicrobianos, terapias não antibióticas e diagnóstico molecular destacam-se. Estratégias multidisciplinares e colaborativas demonstraram benefícios, enquanto a pandemia de COVID-19 impactou padrões de tratamento. Conclusão: Apesar dos progressos, desafios persistentes incluem resistência antimicrobiana, questões éticas e econômicas. Investir em pesquisa, estratégias de prevenção e medicina de precisão é crucial para otimizar o manejo clínico das ITUs. Esta revisão destaca a necessidade contínua de inovação na abordagem de ITUs, visando benefícios individuais e a saúde pública global.
BASES FISIOPATOLÓGICAS DA ICTERÍCIA NEONATAL: UMA REVISÃO BIBLIOGRÁFICA
Authors: Mainardo Rodrigues Bezerra Lucas , Silva de Brito Mayrla Cardielle , Melo de Assis Dias Raphael Condack , Brito Bacelar Viana Andrade Cleidyara de Jesus , Araújo Guimarães Fernandes Luiz Fernando , Soares Batista da Costa Ester , Leal Neto Raimundo Lourenço , Pereira Sardinha Vilma Cristina , Peres Costa Thayna
Published: March 2024

Introdução: A icterícia neonatal é comum em recém-nascidos, afetando até 60% dos bebês saudáveis e até 80% dos prematuros. Apesar de geralmente benigna, pode levar a complicações neurológicas graves se não tratada adequadamente. A fisiopatologia envolve um desequilíbrio complexo no metabolismo da bilirrubina, incluindo imaturidade hepática e hemólise como fatores principais.Objetivo: Esta revisão visa sintetizar o conhecimento sobre as bases fisiopatológicas da icterícia neonatal, para subsidiar práticas clínicas baseadas em evidências. Métodos: Foram selecionados estudos originais e revisões publicados em periódicos revisados por pares nos últimos 20 anos, com foco em fatores de risco genéticos, ambientais e relacionados ao desenvolvimento neonatal associados à icterícia neonatal. Resultados e Discussão: A icterícia neonatal resulta de um desequilíbrio no metabolismo da bilirrubina, envolvendo produção, conjugação, excreção e metabolismo. Estudos destacam a imaturidade hepática e a hemólise como principais fatores. O monitoramento dos níveis de bilirrubina e intervenção terapêutica oportuna são cruciais para prevenir complicações graves. Conclusão: O entendimento dos mecanismos fisiopatológicos da icterícia neonatal é essencial para uma abordagem clínica eficaz. Investimentos contínuos em pesquisa e colaboração interdisciplinar oferecem perspectivas promissoras para avanços futuros no manejo dessa condição, visando melhorar os desfechos clínicos e a qualidade de vida dos recém-nascidos afetados.
COMO ENFRENTAR OS NOVOS DESAFIOS COM O AUXÍLIO DA CHATGPT NA EDUCAÇÃO
Authors: De Paiva Silva Keila Cristina , Reis Pacheco Juliana , da Silva Botelho Elizabeth Costa , Gomes Domingues Pereira Rita de Cassia , Santos Marinalva , Dos Santos Monteiro Renata
Published: March 2024

A capacidade da visão de expandir um pensamento crítico para a informação e o acréscimo humano é inegável. Nesse posicionamento, esse artigo tem como objetivo explorar a seriedade do ChatGPT na educação como um instrumento integrante aos estudos na Educação Básica. Dessa maneira, busca identificar os novos desafios com o auxílio da ChatGPT na Educação. É básico perceber de que forma essas mudanças podem ser incorporadas de maneira eficaz, com uso da inteligência artificial, aprimorando seu processo de aprendizagem. A pesquisa se baseou em uma metodologia bibliográfica de autores relacionada à integração da inteligência artificial, ChatGPT, e aproveitamento de tecnologia, aproveitando a Base Nacional Comum Curricular (BNCC) a exemplo de Santaella (2023), Rocha (2023), Lemos (2021), Góes e de Magalhães Porto (2023) e Levy (2010). Contudo, foram apresentadas as funcionalidades do aplicativo e estudos que discutem os impactos da ChatGPT nas atividades pedagógicas, o estudo ainda incluiu pesquisas sobre a oportunidade de encontrar técnicas de escrita tanto para professores como para alunos. Os resultados direcionaram novas mudanças e benefícios que o ChatGPT pode trazer à educação na promoção de mecanismos complementares alinhados ao ensino, desenvolvendo habilidades no setor educacional.
Perception De L’échec Et Motivation Académique Des Etudiants En 2e Année En Faculté De Lettres Et Des Sciences Humaines A l’Université De Douala.
Authors: Achille Tadaha Moffo
Published: March 2024

But : L’examen de l’influence de la perception de l’échec sur la motivation scolaire des étudiants est l’objectif que se donne cet article.

Méthodologie : Pour atteindre celui-ci, les données de l’enquête de terrain auprès de 84 étudiants issus de la deuxième année en Faculté de Lettres et des Sciences Humaines (FLSH) à l’Université de Douala en situation d’échec sont soumises à des analyses descriptives et inférentielles.

Résultats : Les résultats du rhô de Spearman obtenus de l’analyse du questionnaire d’autoévaluation et du « motivomètre » relèvent que le niveau de motivation scolaire est très bas chez ces étudiants et cela semble dû à une mauvaise perception qu’ils ont construite autour de leur échec précédent. En effet, les analyses ont montré un effet positif et significatif des représentations sociales de l’échec, des clichés du nombre d’échec et des croyances autour de l’échec sur la motivation scolaire chez ces étudiants. Dès lors, il semble nécessaire pour l’Etat et les Universités en place de décider de rendre l’accès de ces étudiants plus facile aux cellules d’écoute et d’accompagnement psychopédagogique.

Contributeur Unique A La Théorie Politiques, Aux Et A La Pratique : Ceci par les moyens de la sensibilisation permanente et médiatisée sur l’importance de rencontrer régulièrement un conseiller d’orientation et/ou un psychologue scolaire. Et aussi la nécessité d’impliquer les familles afin d’influencer les cognitions sociales qui entourent l’échec scolaire et par la même occasion de réduire la déperdition scolaire.
AI Bedroom
Authors: Chakraborty Sudip , Aithal P. S.
Published: March 2024

Purpose: Now, artificial intelligence (AI) is booming. Day by day, AI is introduced into the new field. We have lots of expectations for the advancement of AI. In our modern busy schedule, we all expect our everyday monotonous homework to be executed by AI. We are introducing more and more smart devices to do our work smartly. But at the end of the day, all our smart home devices are operated manually. We are not fully satisfied with smart devices. Knowing this, the smart device manufacturer is adding AI features inside their devices. Here, we demonstrate how to build an AI bedroom for better living.
Design/Methodology/Approach: We install three devices inside the bedroom. The first is a surveillance PTZ camera, the second is the CPU, and the third is the action module. The camera will capture the events and is transferred to the central processing unit or CPU. It will process the image and then detect the event. Once the event is detected, then through the action module, we trigger the electrical or electronic equipment.
Findings/Result: the performance of the centralized system is better than that of distributed individually operated smart devices. Here, we account for two types of performance: the event detection and the action module on the specific action. The event detection module takes much more time due to the processing overhead of the image. We get the result within a couple of milliseconds. Due to the dedicated CPU, the processing is faster than on a cloud-based server, which depends on the bandwidth of the internet.
Originality/Value/ Novelty: We studied several research documents on smart homes and artificial intelligence-integrated homes. Most AI homes are built using several smart home appliances operated manually. And there is no centralized control. Without central control, the system could not deliver the best performance. Here, the complete system is nicely controlled by a centralized CPU, which makes it a unique approach to this project.
Type of Paper: Conceptual Research.
Teacher Performance Prediction Using Machine Learning
Authors: Miss. Payal Kahandal  , Miss. Saloni Kahandal  , Miss. Gauri Kandekar  , Miss. Sakshi Chavhan  , Prof. J. S. Chandwade
Published: March 2024

Student performance is one of the crucial and necessary part in the educational system due to its large volumes of real-time data that cannot be analyzed manually by the humans. So, here comes machine learning that is used to easily predict the performance of the students. This job is being performed by educational data mining (EDM). EDM contains the methods that are used to discover the data in the educational environment and are used for understanding the student and their learning environment. The educational institutions are responsible and also at the same time curious to know about the performance of the students and teachers to know the current status of the functioning of the institution towards a better path. In this project, 3 models namely students assessments grades, final student performance, teachers performance. The result shows that both all the models will be showing an accurate result. A system is designed to predict the performance of the teachers based on the average of the grades of all the students, Students review and the staff members review are taken as input and the performance of the teachers is predicted accordingly. And at the same time, we will also be predicting the performance of the students based on their previous academic performance and gives suggestions.
Cybersecurity in Business
Authors: Prof. Aarti R. Naik
Published: March 2024

Cybersecurity is like a digital bouncer, standing guard over your computers, phones, and networks to keep out unwanted visitors. In the bustling digital marketplace, cybersecurity is the lock on your virtual door, protecting your valuable data and privacy from prying hands. Imagine a shield protecting your digital world: that's cybersecurity. It keeps your devices, data, and online life safe from bad guys. In today's tech-driven world, cybersecurity is essential. It's the armor that protects our precious information, from business secrets to private photos, from hackers and other threats
Database Management Systems: An Examination using NoSQL
Authors: Anju Santosh Yedatkar
Published: March 2024

Solutions that can accomplish infinite scalability, high availability, and vast parallelism are needed to meet the ever-changing demands of modern data management. Achieving excellent performance standards. When managing massive collections of both organized and unorganized data sets that traditional RDBMS are unable to handle, the new breed of applications such as business intelligence, enterprise analytics, customer relationship management, document processing, social networks, Web 2.0, and cloud computing needs to scale horizontally to thousands of nodes. The pace the point at which data is produced by interactive applications used by numerous concurrent users in distributed processing involving a vast number of servers and managing Big Data applications has surpassed the capacity of relational databases, emphasizing the adoption of databases NoSQL. Reducing has been addressed by NoSQL database systems.
Unveiling the Crucial Role of Statistics in Big Data Analytics
Authors: Ms. Rinal Dineshbhai Suthar  , Asst. Prof. Ashwini Kale
Published: March 2024

This paper focuses on the role of statistics in big data analytics to build analytical accuracies and precise decision-making insights. Statistics and data mining techniques that are useful for big data analytics include: significance testing, classification, regression/prediction, cluster analysis, association rule learning, hypothesis testing, anomaly detection, and visualization. Statistical analysis provides a scientific justification to move from data to knowledge and turn it into actionable insights, emphasizing their role in data preprocessing, pattern recognition, and predictive modeling. The study navigates through prominent statistical methods such as regression analysis, hypothesis testing, and machine learning algorithms, illustrating their efficacy in extracting actionable knowledge from vast and complex datasets. Moreover, it sheds light on the symbiotic relationship between statistics and technological advancements, showcasing their collaborative potential in driving innovation within the Big Data domain. By synthesizing current research and practical applications, this paper aims to underscore the indispensable nature of statistical methodologies in harnessing the power of Big Data for informed decision-making. In the era of Big Data, where information proliferates at an unprecedented scale, the role of statistics has become increasingly vital in extracting meaningful insights from the vast and complex datasets that characterize this landscape. This paper seeks to unravel the intricate interplay between statistics and Big Data analytics, elucidating the significance of statistical methodologies in navigating the challenges posed by the sheer volume, velocity, and variety of data
Review on Formulation and Evaluation of Herbal Shampoo
Authors: Mr. Abhishek S. Chaudhari  , Mr. Gaurav V. Ingole  , Ms. Pranali D. Dhole  , Dr. Abhinay Kumar Dwivedi
Published: March 2024

Herbal shampoos are cosmetics primarily used for hair cleansing. Multiple herbal ingredients and plant based products used in preparation of herbal shampoo according to requirement. Medicated shampoo is mixed with specific ingredients to treat specific hair problems. The study aimed to review the formulation method, ingredients and evaluation parameter of shampoo preparation. Numerous methods have been suggested to formulate and evaluate shampoo, selection and use of ingredients depends upon target and availability of formulation ingredients. Shampoos are generally used to clean dirt, make the hair lustrous shiny, promote hair growth, treatment of lice, scabies and dandruff. Shikakai, reetha, amla, neem, tulsi, lemon, orange, Aloevera, methyl, propyl paraben and sodium benzoate as preservative, citric acid could be used for pH adjustment. Evaluation of shampoo could be done by visual inspection, pH, wetting time, percentage of solid contents, foam volume and stability, surface tension, detergency, dirt dispersion etc.
RFID Based EV Charging Station (SOLAR)
Authors: Mr. Bhosale Chetan Machhindra  , Mr. Dawange Shubham Jijahari  , Mr. Bhangade R Ratan  , Mr. Sonawane Mayur Ramesh  , Prof. Yeole S. S.  , Dr. P. C. Tapre
Published: March 2024

As the number of Electric Vehicles (EVs) proliferates, the significance of charging infrastructure escalates, necessitating solutions that balance the demands of the local distribution grid and EV users. This paper proposes the integration of an RFID system for user identification and charging authorization within a smart charging infrastructure, facilitating charge monitoring and control. The RFID technology offers a cost-effective means to identify and authorize vehicles for charging, ensuring efficient charging operations while adhering to grid constraints and fulfilling the requirements of EV drivers. Charging protocols are voltage-based, and the system enables remote monitoring of charging levels via an Internet of Things (IoT) enabled server, providing accessibility from any location at any time.
The Evaluation of a Code-Switched Sepedi-English Automatic Speech Recognition System
Authors: Phaladi Amanda , Modipa Thipe
Published: March 2024

Speech technology is a field that encompasses various techniques and tools used to enable machines to interact with speech, such as automatic speech recognition (ASR), spoken dialog systems, and others, allowing a device to capture spoken words through a microphone from a human speaker. End-to-end approaches such as Connectionist Temporal Classification (CTC) and attention-based methods are the most used for the development of ASR systems. However, these techniques were commonly used for research and development for many high-resourced languages with large amounts of speech data for training and evaluation, leaving low-resource languages relatively underdeveloped. While the CTC method has been successfully used for other languages, its effectiveness for the Sepedi language remains uncertain. In this study, we present the evaluation of the SepediEnglish code-switched automatic speech recognition system. This end-to-end system was developed using the Sepedi Prompted Code Switching corpus and the CTC approach. The performance of the system was evaluated using both the NCHLT Sepedi test corpus and the Sepedi Prompted Code Switching corpus. The model produced the lowest WER of 41.9%, however, the model faced challenges in recognizing the Sepedi only text