bluuebunny/crossref_metadata_2025 huggingface dataset:
Pendekatan Restorative Justice Dalam Penyelesaian Konflik Antar Negeri Di Saparua
Authors: Manawan Edgar Erlangga , Pasalbessy John Dirk , Hattu Jacob
Published: May 2024

Introduction: Indonesia in handling conflicts in general is mostly resolved by using the concept of a customs approach: Like the conflict in the Saparua Archipelago, the conflict between Haria and Porto took place from 2011 to 2013, conflicts caused by Boundary Disputes in Air Raja, and brawls school children involving students from Negeri Haria and students from Negeri Porto.Purposes of the Research: This writing aims to find out how the Restorative Justice Approach Process is carried out by the Saparua Police in resolving interstate conflicts in Saparua, as the aim of which is to find out what are the benefits and obstacles encountered in implementing the restorative justice approach.Methods of the Research: This research method is empirical juridical research and uses a sociological approach with the community, data collection techniques through interviews and documents obtained from the library and the authorities, data processing techniques, namely by editing to find out that the data collected is sufficient good or not in supporting problem solving, Data Analysis Method uses qualitative analysis techniques.Results of the Research: The results of the study show that the restorative justice approach applied to social conflicts in Saparua countries is very good and in accordance with the traditional customs of the Saparua people in resolving conflicts, and with the existence of a restorative justice approach it provides certainty of justice for victims, perpetrators and society and conflict resolution is recognized in the eyes of the law because it is a mechanism of the criminal justice system.
Laporan Penelitian Kemasyarakatan Sebagai Bahan Pertimbangan Hakim Dalam Penjatuhan Pidana Terhadap Anak
Authors: Mataheru Fioren , Lewerissa Yanti Amelia , Tuhumury Carolina
Published: May 2024

Introduction: Community research (LITMAS) is one of the main tasks of Correctional Centers (Bapas). This task is carried out by the Social Guidance Functional officer. This Litmas aims to provide recommendations in the process of resolving child cases.Purposes of the Research: Research Objectives: This study aims to find out whether social research reports have been used by judges as material for consideration in imposing crimes against children and what are the legal consequences of a judge's decision without considering social research reports.Methods of the Research: The research method used is normative juridical research where library materials are the basis for (knowledge) research which is classified as a secondary source material. The problem approach used is the statutory approach, the conceptual analysis approach and the case approach. The legal materials used are primary, secondary and tertiary legal materials. The collection technique used literature study as well as the processing and analysis techniques of legal materials by way of description using qualitative methods.Results of the Research: The research results show that social research reports have not been considered optimally because there are still judges' decisions that ignore social research results. This is not in accordance with the hope of realizing the best justice for the interests of children provided by the SPPA Law. Therefore, the Government as the legislator must explain in detail how social research reports must be considered, so that judges do not have different interpretations when deciding cases.
Web Application for Company Stock Price Prediction
Authors: Hitesh Chaudhari  , Deepesh Bhede  , Saurabh Thorat  , Ayush Gharge  , Deepa Ekhande
Published: May 2024

This study contributes to predicting stock prices. In this paper, we have provided a novel machine learning and deep learning technique for stock prediction, which capitalizes on the complex emotional patterns of investors that can be extracted from Twitter data. By joining two separate datasets, such as Twitter sentiments and the associated stock prices, we have applied complex algorithms and evaluated this method, which classifies a user’s sentiment into a positive and negative one. It was possible to address the complexity of investor behavior within the highly unstable stock market environment. One of the most important problems that are encountered by developers is gaining the possibility to properly capture stock price fluctuations in the temporal dimension. It implies the necessity to utilize such reliable evaluation metrics as precision-recall factors for classification purpose and root mean squared error for regression purpose. by using these metrics, the performance of the predictive model can be evaluated in detail, which allows to draw meaningful permanent conclusions within the context of how well it reflects the complex relationship between investor sentiment and market dynamics. The results of the evaluation conducted as part of the process of validating the proposed hypothesis show that, indeed, the predictive accuracy improves significantly from the use of machine learning and deep learning algorithms if paired with Twitter users’ emotional sentiment data. This combination enhances the predictive capacity of the model and provides meaningful insights into how the changes in stock prices are impacted by the sentiment of investors. Moreover, in the process of this study, the explanation and detail consideration of the algorithms for feature engineering and data processing were provided, which stands crucial for increasing the predictive model’s accuracy The study has a valuable implication for both the financial analysis and technical spheres due to the resolution of these methods and presents a model for further research activities in stock prediction. To conclude, this interdisciplinary strategy that combines sentiment analysis and stock prediction not only advances our understanding of the investor behavior but also brings the opportunity for novel applications in the emerging field at the juncture of technology and finance. As a result, the current research sheds light on the intricate connection between the dynamics of the stock market and investor sentiment, thus offering new insights that can better inform predictive modeling research in the financial industry.
Streamlining IoT-driven Data Using Blockchain
Authors: Shubham Sharma  , Tanuja Sharma  , Akanchha Tiwari  , Surbhi Gupta
Published: May 2024

The integration of Internet of Things (IoT) technology has revolutionized data collection and analytics, creating vast networks of interconnected devices generating large volumes of data. However, this rapid expansion of IoT ecosystems introduces significant challenges related to data security, integrity, scalability, and privacy. Blockchain technology, with its decentralized and immutable nature, emerges as a compelling solution to address these challenges. This paper explores the synergy between IoT and blockchain, examining how blockchain can streamline IoT-driven data by providing secure data exchanges, enhancing transparency, and facilitating scalability. The study investigates the key mechanisms through which blockchain can mitigate common IoT data issues. It considers blockchain's role in ensuring data integrity by utilizing cryptographic methods, enabling traceability through distributed ledgers, and protecting against unauthorized data manipulation. Furthermore, it explores the potential of blockchain-based smart contracts to automate processes and improve interoperability among IoT devices. The paper delves into specific use cases, such as smart cities, demonstrating how blockchain can effectively streamline IoT data across various industries. The findings highlight that while blockchain offers substantial benefits, it also introduces unique challenges, including high energy consumption, latency concerns, and complex integration processes. This concludes with a discussion of Security concerns, Comparison with existing solutions. By addressing these challenges, blockchain can become a pivotal technology in streamlining IoT-driven data, paving the way for more secure, efficient, and trustworthy IoT ecosystems.
Persepsi Guru Sekolah Rendah Terhadap Kepimpinan Distributif Guru Besar dengan Komitmen Guru di Ipoh Perak
Authors: Vincent Praboo Calvin Raj , A.Hamid Aida Hanim
Published: May 2024

Kajian ini dijalankan untuk menentukan tahap kepimpinan distributif guru besar dengan tahap komitmen guru di sekolah rendah di negeri Perak. Kajian ini menggunakan pendekatan kuantitatif melalui soal selidik. Penulis mengambil sampel 100 guru daripada populasi 385 guru dari empat sekolah berbeza. Sampel kajian dipilih menggunakan kaedah persampelan bertujuan. Soal selidik telah dihantar dalam format borang Google dan kesahihan dan kebolehpercayaannya telah disemak. Data telah direkodkan dengan menggunakan Statistical Package for the Social Sciences (SPSS) versi 6.0 dan ditafsirkan secara diskriptif dan inferensi. Hasil kajian menunjukkan keempat- empat sekolah mempunyai amalan kepimpinan distributif yang tinggi. Tahap penglibatan guru berada pada tahap sederhana tinggi. Analisis korelasi Pearson menunjukkan hubungan yang signifikan antara amalan kepimpinan distributif guru besar dengan komirmen guru: r (100) = 0.771, p>0.01. Kajian mendapati bahawa di sekolah rendah di Ipoh, Perak, guru besar telah mengamalkan kepimpinan distributif dan pada masa yang sama, komitmen guru berada pada tahap yang tinggi.
Detection of active compounds in Aloe vera leaf extract and their inhibitory effect on Pseudomonas aeruginosa.
Authors: Fadhil Khansaa , Saeed Ibrahim Omar , Saleh Mahmood Khalaf
Published: May 2024

In the study, two types of Aloe vera leaf extracts were prepared: aqueous and alcoholic extract. The research was conducted at the Department of Life Sciences, Faculty of Science, Tikrit University. From October to January. The active compounds in these alcoholic extracts were detected as tannins, cladosides, saponins, and flavonoids, all of which gave a positive result. The antibacterial activity of the aqueous and alcoholic extracts were estimated at concentrations ranging from (200-12. 5) mg/ml, where the alcoholic extract gave a high efficacy of (34.5) mm, while the aqueous extract had a lower efficacy (29.6) mm at the same concentration. Microbial tests were evaluated using different combinations of the extracts on Pseudomonas aeruginosa isolates, where the alcoholic extract gave the highest inhibitory efficacy to the bacteria.
Self-Management of Type 2 Diabetes
Authors: Eben Taku Jude
Published: May 2024

Topic to be searched: Self-Management Education Program’s Impact on Glycaemic Control in type 2 diabetes mellitus Rationale for topic: According to the Royal College of Nursing(2022), more than 3.8 million individuals across the UK have been diagnosed with diabetes mellitus. Also, approximately one million of the population have the condition, but are not aware. Thus, I wanted to explore the impact of diabetes self-management education program in enhancing patient’s self-care behaviours like controlling glycaemic.
Preparation and Characterization of Liposomes in Novel Drug Delivery Systems: A Review
Authors: Pandey Shachi , Verma Alka , Keshari Shruti
Published: May 2024

Liposomes have emerged as versatile drug delivery vehicles with the potential to improve the therapeutic efficacy and safety profiles of various drugs. These lipid-based vesicles offer advantages such as biocompatibility, versatility in encapsulating hydrophilic and hydrophobic drugs, and the ability to target specific tissues or cells. This review provides a detailed examination of the preparation and characterization methods of liposomes in novel drug delivery systems (NDDS). It covers various techniques for liposome preparation, including conventional methods and advanced approaches, as well as the characterization parameters essential for evaluating liposomal formulations. Additionally, recent advancements, challenges, and future directions in the field are discussed.
Phytochemistry, Pharmacognosy and Pharmacological Properties of Tabernaemontana divaricata: A Review
Authors: Devi Pramila , Singh Umesh Pratap , Kumar Ashutosh
Published: May 2024

Tabernaemontana divaricata (Crepe Jasmine) is a perennial, evergreen plant highly valued for its medicinal properties across various traditional healing practices worldwide. It is indigenous to areas of Asia, Australia, China, Japan, India, Myanmar, and the Apocynaceae family. It usually grows to a height of 1.5–2.5 meters and has silvery gray bark that, when broken, releases milky latex. It also has lustrous, deep green leaves and white blooms. Numerous studies have identified a wide range of phytochemical components in Tabernaemontana divaricata, including enzymes, phenolic acids, flavonoids, steroids, and alkaloids. Its blooms are notable for containing chemicals such apparicine, isovoacristine, voaphylline, vobasine, tabernaemontanine, and epivoacangine. effects that include anti-infertility, anti-inflammatory, anti-cancer, analgesic, antioxidant, anti-diabetic, anti-convulsant, and antibacterial properties. The goal of this review article is to give a succinct summary of Tabernaemontana divaricata's morphological traits, ethnobotanical applications, pharmacological qualities, and phytochemical makeup. It also emphasizes how crucial it is to carry out more investigation and development in order to completely investigate the therapeutic benefits that this medicinal plant may provide.
A Quantitative Study between Reading Habits and Reading Comprehension of Grade 11 Students
Authors: Meliton Sherlly D. , Braga Nicole P. , Culob Shekina L. , Intise Angelica B. , Largo Christine Mae O. , Neri Ma. Kristina L. , Nobleza Richelle Ann Gen Q. , Polestico Bejie A. , Polinar Jovel A. , Sumicad April Jane A. , Villanueva Marianne Jhoana R. , Clamares Krystal Joy M. , Pelandas Anna Marie O.
Published: May 2024

The study dealt with the reading habits and reading comprehension among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. The primary goal of the study was to assess the level of reading habits and reading comprehension in terms of their respective indicators, the significant relationship between reading habits and reading comprehension, and domains in reading habits significantly influenced reading comprehension. Moreover, this study utilized a quantitative-correlational design with 202 respondents among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. Average Weighted Mean, Pearson R, and Multiple Regression Analysis were the statistical tools used in this study. The results showed a high level of reading habits in terms of reading motivation as high, reading frequency and time allocation as high, and materials as high among Grade 11 students. Similarly, the outcome also resulted in a high level of reading comprehension with its indicators which were the working memory as high, vocabulary as high, prior knowledge as high. Moreover, the result also highlighted a high level of influence of reading habits to the reading comprehension among Grade 11 students in terms of reading motivation, reading frequency and time allocation, and materials. In addition, there was a moderate correlation and a significant relationship between reading habits and reading comprehension. Three domains of reading habits are shown as perceived by students. However, two domains only influence Reading Comprehension and materials were the only one domain that did not exert a significant influence on reading comprehension.
Consequences of Correction: Learner’s Uptake and Perceptions through Written Corrective Feedback
Authors: Guintivano Jomel B.
Published: May 2024

This study investigates the effect of written corrective feedback (WCF) styles on high school science students’ second language writing. A descriptive-correlational design explored student uptake (revision based on feedback) and perceptions on WCF, having been exposed only to the indirect and the metalinguistic WCFs. Students revised outputs in writing with both styles, and a survey assessed their perceptions. Uptake was high for both WCFs. Students’ perceptions on WCF was generally positive across variables such as sex, section, and type of school graduated from. Despite exposure to only two methods, students generally preferred the direct feedback and found the red ink helpful. No significant relationship between uptake and preferences was found. The study highlights the value of WCF as a formative assessment tool of language teachers in an ESL classroom.
Cloud Accounting and its Adoption in Sultanate of Oman
Authors: AlSulaimi Firas Nabeel , Maqbali Nurs Ahmed Al , Hashami Malak Sulaiman Al , Ahmed Mohammed Babiker Mohammed
Published: May 2024

Cloud accounting (CA) is one of the most trends of technology in the domain of accounting and financial services. The CA is regarded as one of the accounting models that helps to the advancement of the accounting profession around the world, particularly in the Sultanate of Oman considering the adoption of the accounting cloud in government institutions, companies and banks, many goals will be achieved, including accuracy and quality in accounting and auditing work with processing storing the financial information easily in the cloud accounting. Additionally, this study aims to identify the concepts and perspective of cloud accounting and how effect to the organization and accountants’ practices. On the other hand, determine the benefits of using the model of accounting cloud in the workplace that helps a lot of institution to move to this technology of accounting. Cloud accounting systems are less expensive than other programs and can be adopted with minimal effort, especially in SME’s that can access information from the cloud at anytime and anywhere by browser that connected to the Internet. Despite all these advantages, there are some risks such as security and fear of using a new accounting platform that delays the adoption of cloud accounting, and for those who, with the passage of time, these risks and limitations will disappear. Furthermore, this study will discuss the deep difference between the cloud accounting software’s and the manual accounting system to get more full knowledge and understanding about the cloud related to accounting to access to the public for the future of accounting. Therefore, it is recommended that inculcate the culture of cloud accounting across many platforms such as courses and conferences to adopting it as well as to improve the quality of accounting work for achieving the Oman vision 2040.
O USO DO JATO DE PLASMA NA ESTÉTICA
Authors: Gonçalves dos Santos Cintia
Published: May 2024

Este trabalho aborda o uso do jato de plasma na estética, apresentando os fundamentos teóricos, as técnicas de aplicação e os resultados de estudos científicos. O jato de plasma é uma tecnologia inovadora que tem demonstrado eficácia em diversos procedimentos estéticos, como rejuvenescimento facial, tratamento de rugas e linhas de expressão, remoção de manchas e melhoria da textura da pele. Através da revisão de estudos científicos e da apresentação de resultados de estudos clínicos e casos clínicos, busca-se fornecer uma base sólida de evidências científicas sobre o uso do jato de plasma na estética. Essas informações são essenciais para embasar a prática clínica e auxiliar os profissionais de estética na tomada de decisões baseadas em evidências. O resumo deste estudo destaca os principais pontos abordados, fornecendo uma visão geral dos aspectos teóricos, técnicos e práticos relacionados ao uso do jato de plasma na estética.
IMPORTUNAÇÃO SEXUAL: UMA ANÁLISE DA LEI Nº 13.718/2018
Authors: Gregório Ferro Lucas
Published: May 2024

A inteligência artificial foi essencial para diversas mudanças positivas na sociedade, principalmente voltadas para o conhecimento e acesso à informação. Todavia, diversos crimes estão associados à virtualização da sociedade, como vem ocorrendo por meio de investimentos em novas realidades associadas ao metaverso. A partir disso, o objetivo geral desta pesquisa foi elucidar a importunação sexual no metaverso, sob o prisma de sua culminação legal na legislação brasileira. Além disso, como objetivos específicos, o estudo focou em delimitar o conceito de metaverso e suas implicações jurídicas, diferenciar o assédio sexual da importunação sexual e demonstrar a importância do estudo de novas doutrinas e jurisprudências sobre os crimes sexuais no metaverso, com ênfase para a importunação sexual. O método de pesquisa aplicado foi qualitativo, por meio de uma revisão bibliográfica sobre esse tema, dada a sua importância para a modernidade. Os autores levantados demonstram que ainda existem limitações na legislação brasileira para a tipificação de crimes associados a essa realidade. Por isso, conclui-se que o estudo sobre o metaverso, em sua esfera penal, precisa ter uma prioridade para a doutrina e jurisprudência brasileira nos próximos anos, algo que já ocorre nos Estados Unidos, onde essa doutrina está mais avançada, segundo Costa, Magalhães e Berzoini (2023).
TERAPIAS-ALVO E BIOMARCADORES EM CÂNCER DE MAMA: UMA REVISÃO BIBLIOGRÁFICA
Authors: Zaccara Cunha Araújo Isadora Maria , Matias Soares Lana Régia , Alves de Oliveira Railene , Rivalta Matias Gabriela Maria , Pereira de Carvalho Lucas , Souza do Vale Eise , Portuguêz de Souza Dayane , Batista Ramos dos Santos Chrisley , Miranda Baptista Vilhegas Lara , Moreira Bento Diego
Published: May 2024

O câncer de mama é uma das principais causas de morbidade e mortalidade entre as mulheres em todo o mundo, representando um desafio significativo para a saúde pública. Um dos principais avanços na terapia do câncer de mama tem sido o desenvolvimento de terapias-alvo que visam componentes específicos das células tumorais responsáveis pelo crescimento e disseminação do câncer.  Objetivo: realizar uma revisão bibliográfica dos avanços mais recentes em terapias-alvo e biomarcadores no câncer de mama. Métodos: Foi realizada uma busca sistemática na literatura científica, utilizando bases de dados como PubMed, Web of Science, Scopus e Google Scholar. Foram incluídos estudos originais e revisões publicados entre 2009 e 2024, em inglês, português ou espanhol, relacionados a terapias-alvo, biomarcadores e câncer de mama. Resultados e Discussão: A análise dos estudos revelou avanços significativos em terapias-alvo, como trastuzumabe e inibidores de CDK4/6, além da importância dos biomarcadores, como Ki-67 e receptores hormonais, na predição de resposta ao tratamento. Destacou-se também o impacto econômico positivo das terapias-alvo e biomarcadores na redução de custos de saúde a longo prazo. Conclusão: As terapias-alvo e biomarcadores representam avanços fundamentais no tratamento do câncer de mama, oferecendo uma abordagem mais personalizada, eficaz e econômica. A contribuição dessas estratégias para a prática clínica e a tomada de decisão ressalta a importância contínua da pesquisa e aplicação dos avanços científicos na oncologia.
The Contribution of Sesotho Literature Books Read in Lesotho Secondary Schools in Perpetuating and Reinforcing Gender Stereotypes
Authors: Mochekele Mapulane , Matsie Nthama
Published: May 2024

Purpose: The overarching purpose of this research was to investigate the presence of gender stereotypes in the books used for teaching of Sesotho Literature in Lesotho secondary schools with a view towards recommending corrective interventions to the challenge. The study examined how physical attributes, character traits, gender roles within households and communities, and occupational roles were assigned to males and females in these books. Additionally, the research explored the power dynamics between male and female genders as depicted in these books. These categories served as the basis for coding and analysing the data. The study selected a purposive sample of four literary genres namely novels, dramas, poetry, and short stories.
Methodology: Given the nature of the study, qualitative deductive content analysis was employed to gather and analyse the data from the chapters, stories, and poems within each of the genres.
Findings: The findings indicated a significant prevalence of culturally constructed gender stereotypes within the examined works. The most important finding was that literature books perpetuate negative stereotypes which makes education a key contributor to some of the gender related problems.
Unique contribution to theory, policy and practice: This research contributes to promotion of gender parity, reduction of gender-based violence and homicides which are problems ravaging the nation today.
Efecto del fármaco metformina sobre los niveles de zinc y magnesio en mujeres con síndrome de ovario poliquístico
Authors: Abdulmunem Ibrahim Manal
Published: May 2024

El síndrome de ovario poliquístico implica oligomenorrea y/o anovulación por exceso de testosterona o LH, además de trastornos metabólicos que pueden resultar en una disminución de los niveles de vitaminas y minerales importantes, incluidos los niveles de zinc y magnesio. Objetivo:mostrar si el tratamiento con metformina para mujeres de ovario poliquístico puede cambiar los niveles de zinc y magnesio en esas mujeres.Métodos:este estudio involucra a 23 mujeres de ovario poliquístico diagnosticadas temprano que no toman metformina y 16 mujeres ováricas poliquísticas que toman metformina 850mg dos veces al día durante al menos tres meses. FSH, LH, testosterona, estradiol, prolactina, SHBG, insulina en ayunas, glucosa en ayunas, magnesio y zinc se miden en el segundo día del ciclo. Resultados:los pacientes sin metformina mostraron aumentos significativos en la relación LH, FSH y testosterona libre en valores de p de 0,03, 0,037 y 0,009 respectivamente.El zinc mostró una correlación directa con el estradiol en pacientes que no recibieron metformina y una correlación indirecta con el índice de masa corporal en pacientes en tratamiento con metformina.Conclusión:el zinc es un elemento importante para la fertilidad femenina, ya que puede mejorar el nivel de estradiol puede deberse a su actividad antioxidante que disminuye la reacción inflamatoria en la región pélvica y mejora la función del ovario.El aumento en el nivel de zinc tiene un efecto inverso en el índice de masa corporal. Sin embargo, el tratamiento con metformina en este estudio no mostró ningún efecto sobre el nivel de magnesio y zinc en mujeres ováricas poliquísticas.
Reflections on teaching ratio and proportion using Lesson Study
Authors: Domondon Christian , Corpuz Mark Joseph , Carranza Mark , Moroki Imriani , Ching Ferdie , Elipane Levi
Published: May 2024

Lesson Study provides an opportunity for teachers to engage in layers of individual and collaborative reflections in, on, and for practice to improve the teaching and learning process. This paper reports on reflections on teaching ratio and proportion online using Lesson Study, which could improve the teaching-learning process, specifically on pedagogy. The study consisted of three major stages: Lesson Planning, Lesson Study Proper, and Reflection through post-lesson discussion. The research lesson study proper was participated in by Grade 9 students in a school in the Philippines and six teachers—one taught the lesson, and the other five observed the class via Zoom. Also, the six teachers were participants in the post-lesson discussion. The data gathered from this descriptive qualitative study were analyzed using thematic analysis. It was concluded that in teaching ratio and proportion, the distinction between terminologies must be emphasized so there will be no confusion and for the students to use what is proper.

Moreover, it is advised that a real-life problem involving ratio and proportion be included in the lesson so that students will appreciate its uses and lessen its abstraction. Teachers must also go beyond routine activities to increase students' critical thinking and employ the Higher Order Thinking Skills. Thus, it is recommended that teachers undergo training to learn different and new pedagogies to improve their teaching by going beyond routine activities and incorporating real-life problems.
A Qualitative Analysis on the Cross-Country Experiences of selected ASEAN Member States on Gender and Development
Authors: Victorino Michelle Lei , Agudo Mirabelle , Carpio Abbiegale , Schon Carolin
Published: May 2024

ASEAN has been vocal with its support to gender equality and women empowerment, they formed committees and regional mechanisms that will guide them in achieving this. They also spearheaded various meetings with its member states and established partnerships with other organizations outside ASEAN to further enhance their response to gender and development. Their aim is to promote gender and development with its three pillars to create a gender sensitive society. Based on the data gathered, the LGBTQI+ Community and the women sector of all ASEAN member states are still struggling to get the support and acceptance of ASEAN as well as most of the people especially to those countries who are culture centered, but despite of their struggle they remain positive and hoping that the society will soon accept them wholeheartedly. There may be developments, but hardships are still visible in their work and in society, they still lack opportunities to grow in the fields that are dominated by men, they are still suffering from unequal treatment, and some are still not represented in politics.
Factors and the challenges experienced by students and faculty in the new normal learning mode
Authors: Briñosa Eva , Lainez Sheryl May
Published: May 2024

Esta pesquisa explora a resiliência turística dos Hotéis Resort na Região IV – A ou CALABARZON, que compreende 6 províncias, a saber, Cavite, Laguna, Batangas, Rizal e Quezon. Esta região é um dos pontos quentes do turismo nas Filipinas e também é suscetível a desastres como erupção vulcânica, terremoto, inundações de suas áreas costeiras e uma das áreas mais afetadas nas Filipinas ao lado da Região da Capital Nacional pela pandemia de COVID-19. De acordo com o Plano de Desenvolvimento Regional CALABARZON 2023-2028 elaborado pela Autoridade Nacional de Desenvolvimento Econômico (NEDA), a escalada de perdas e danos sofridos por desastres ressalta o imperativo de promover a resiliência nesta região. É importante medir a resiliência das empresas turísticas, uma vez que é vital para determinar a sua capacidade e capacidade de enfrentar e recuperar dos impactos socioeconómicos causados por estas catástrofes. Participaram do estudo 101 estabelecimentos de hospedagem credenciados pelo Departamento de Turismo (DOT), representados por seus respectivos gestores. O pesquisador mediu o índice de resiliência turística da indústria hoteleira resort da Região IV A (CALABARZON) usando seis (6) indicadores, a saber, resiliência operacional empresarial, preparação para desastres, marketing, força de trabalho, uso de recursos nacionais e locais e acesso a recursos e conhecimento adotados a partir do Índice de Resiliência do Turismo desenvolvido pelo Mississippi Alabama Sea Grand (MASGP) e pela Administração Nacional Oceânica e Atmosférica do Departamento de Comércio dos EUA (NOAA). Além disso, foi analisada a comparação sobre a avaliação da resiliência turística dos hotéis resort quando agrupados de acordo com o perfil da empresa e do perfil dos gestores.
Tourism Resilience in CALABARZON Region Philippines
Authors: Olalia Rosan
Published: May 2024

This research explores the tourism resilience of Resort Hotels in Region IV – A or CALABARZON which comprises 6 provinces namely, Cavite, Laguna, Batangas, Rizal and Quezon. This region is one of the tourism hot spots in Philippines and it is also susceptible to disasters like volcanic eruption, earthquake, flooding of its coastal areas and one of the most affected areas in Philippines next to National Capital Region by COVID-19 pandemic. According to the CALABARZON Regional Development Plan 2023-2028 prepared by the National Economic Development Authority (NEDA), the escalating losses and damages incurred because of disasters underscore the imperative of fostering resilience within this region. It is important to measure the resilience of tourism enterprises as it is vital in determining their capability and capacity to cope up and recover from the socio-economic impacts caused by these disasters. A total of 101 Department of Tourism (DOT) accredited accommodation establishments have participated in the study which were represented by their respective managers. The researcher measured the tourism resilience index of resort hotel industry of Region IV A (CALABARZON) using six (6) indicators namely, business operational resilience, disaster preparedness, marketing, workforce, use of national and local resources, and resource access and knowledge adopted from Tourism Resilience Index developed by Mississippi Alabama Sea Grand (MASGP) and National Oceanic and Atmospheric Administration of US Department of Commerce (NOAA). Moreover, comparison on the tourism resilience assessment of resort hotels when grouped according to their enterprise profile and managers profile was further analyzed.
eBillH20: Web-Based Billing and Support System for Streamlined Water Management
Authors: Mencias Chinley , Ylagan Cathlyn L. , Lainez Sheryl May
Published: May 2024

Bongabong Waterworks and Sanitation Association (BOWASA) currently uses a traditional method of water billing that involves taking meter readings, calculating water usage per household, and issuing billing statements. A web-based system that automatically calculates water usage and generates billing statements was proposed and developed. SMS notifications were integrated to notify consumers’ bills, due dates, and disconnection notices, and consumers were able to pay bills using online payment technology. The spiral model was used as a software development method, and the system was tested and evaluated by BOWASA management, consumers, and IT experts using ISO 25010 software quality standards. The system was found to be user-friendly, interactive, and functional, achieving its expected functions in terms of functional suitability, performance efficiency, usability, compatibility, and security. It can greatly improve BOWASA management by streamlining transactions and services and providing consumers with accurate and timely information about their water consumption and bills. It also enhances convenience for consumers by enabling online payment and SMS notifications. Overall, the web-based system can increase efficiency, accuracy, and convenience for BOWASA and its consumers.
Student Feedback Management System
Authors: Asst. Prof. D. K. Jadhav  , Aishwarya Gaikwad  , Sayali Jadhav  , Nikita Jadhav
Published: May 2024

Due to the rapid growth of technology development, our daily life is heavily affected by smart systems, which facilitates our activities. For instance, online shopping grew up very fast. People are getting more used to online shopping, online auctions, etc., to purchase their interested products. This way of transaction has become the main trend and it brings great convenience to customers
Optimisation of Agriculture Production
Authors: Prof. D. K. Jadhav  , Mr. S. S. Suryavanshi  , Mr. A. U. More  , Ms. D. V. Malkar  , Ms. A. B. Jagtap
Published: May 2024

The Mechanism for A lack of understanding of ideal agricultural practises, which, if applied, can increase yields at low costs while optimising resource utilisation, is a key cause of agriculture's suffering. Many farmers are abandoning or moving away from farming, particularly agriculture, because they are not receiving a good return on their investment. In other words, they take out enormous loans to buy the tools, seeds, fertilizer, pesticides, and other resources required to grow crops, but the crop output is insufficient to meet the loan total, resulting in severe losses and debt. As a result, a substantial portion of our country's rich land, which was formerly the primary source of GDP, is being wasted, dealing a serious damage to the Indian economy. Through this research, we hope to provide a small but effective answer to this massive problem by assisting farmers in farming optimally—that is, by assisting them in selecting the crop that will generate the best yield given the farm's current soil and climate
Deepfake Detection using Deep Learning
Authors: Dr. B. M Vidyavathi  , Mr. Adnaan Faisal Ahmed  , Ms. Lulu Ayain T  , Ms. Syeda Mehraj Fatima
Published: May 2024

The detection of deep fakes, which are synthetic media generated using deep learning techniques, has become increasingly important due to their potential to deceive and manipulate individuals, organizations, and society at large. This abstract explores recent advancements in deep fake detection methodologies, including machine learning algorithms, neural network architectures, and forensic techniques. Key challenges such as the rapid evolution of deep fake generation methods and the emergence of highly realistic forgeries are discussed. Additionally, the abstract examines the ethical implications of deep fake technology and the need for robust detection methods to mitigate its harmful effects. Finally, future directions in deep fake detection research are outlined, emphasizing the importance of interdisciplinary collaboration and the development of innovative approaches to combat this growing threat to information integrity and trust
A Novel Method on Wound Identification using Machine Learning and Image Processing
Authors: Hayath TM  , S. Mercy  , Sankina Sukrutha  , Vaishnavi K
Published: May 2024

Automated wound detection using advanced computer vision techniques has emerged as a promising avenue within the realm of healthcare. This approach offers a streamlined and accurate means of identifying a variety of acute injuries, including bruises, abrasions, and traumatic wounds. Wound identification and assessment are crucial tasks in medical practice, facilitating appropriate treatment planning and monitoring of patient recovery. Traditional methods of wound assessment often rely on visual inspection by healthcare professionals, which can be subjective and time-consuming. In recent years, advances in machine learning (ML) and image processing have offered promising avenues for automating wound identification and analysis. This paper presents a comprehensive review of existing techniques and proposes a novel approach that leverages ML algorithms and image processing methods for accurate wound identification. We discuss various challenges, such as data variability, and provide insights into future research directions to enhance the efficacy and applicability of automated wound identification systems. In this study, we delve into the application of YOLO v8, a cutting-edge real-time object detection framework, for automated wound detection across diverse clinical scenarios
Landslide Detection using IoT
Authors: Mr. Santosh Mugali Harish R  , Mohammed Rahil  , Deepya  , Harini K
Published: May 2024

The paper aims to decrease the number of accidents that occur on curved roadways. To do this, a warning LCD Display that displays as a vehicle approaches from the other side of the bend serves as a message to the driver. The IR transmitter and receiver sensor, which is connected to the Arduino Uno microcontroller, is used to detect the vehicle. And Motor operated gates are fixed upon each sides for free passage of vehicles from one side to other side. On the winding roads in the ghat portion, this might save thousands of lives. By implementing a new technique, they come up with a plan to prevent accidents after determining their causes and effects. Two IR sensors make up the new method, which alerts the vehicle on the opposite road. Landslide is one of the hazardous and critical geographical process, which damages to civil infrastructure and property as well as causes loss of life. This paper is an attempt with regard to the expansion of a landslide susceptible approach by using Accelerometer Sensor. And Rain Sensor is used for detecting heavy rainfall. Upon detecting the landslide condition or Heavy Rains it warns on display as a message and closes gates on either sides of ghat till road condition gets normal
Enhancing Road Safety Vehicle Black Box with Advanced Accident Detection and Alert System
Authors: Prof. D. A. Mhaske  , Akanksha P. Dhamale  , Kalyani L. Gunjal  , Snehal P. Dongare
Published: May 2024

Autonomous vehicles want reliable and strong sensor suites and alert systems. This paper discusses the composition and performance of a sophisticated monitoring and alert system for automobile vehicle parameters. The number of automobiles has also grown quickly to meet the enormous population. Additionally, this resulted in an increase in accidents. The accident prevention strategies now in use are all static and dated. Additionally, there is no reliable accident detection system. Automobile vehicle parameters are continuously monitored by a microcontroller which stores the data logs containing vehicle parameter data into a sheltered digital memory card and in the cloud storage. The system doesn't solely record the vehicle parameters data of the automobile periodically, but also actively monitors for any sudden vehicle accident detection. The sensor may facilitate folks to analyze the accident quickly and lawfully when a collision happens to alert the emergency services to that location. The system will update the information whenever an abnormal system event happens. A black box in a vehicle gather driving information about the vehicle before, during and after a crash
Flame Fighter: GPS-Enabled Robot with GSM Communication for Fire Extinguishing
Authors: Dr. K. Nagarathna  , Bhagirathi M. Bajantri  , Goutami B. Bhavikatti  , Kavyanjali S. Amminabhavi  , Sapna B. Yaranal
Published: May 2024

One of the biggest issues our society is currently dealing with is fire accidents. To reduce the likelihood of fire accidents, efficient fire detection and extinguishment procedures should be followed. Fire rescue personnel are currently providing services to put out fires. But occasionally, it might result in firefighters losing their lives. This study suggests utilizing an Arm processor to create a smart, miniature firefighting robot. Without assistance from a human, the suggested robot will autonomously detect and put out fires. An GSM and GPS models can be used to manually control the robot and put out fires. Additionally, the GSM uses alert messages to notify the user of the fire outbreak. Therefore, our method may be utilized to efficiently identify and put out fires in instances when they are starting
Secure Radio Resource Management in Cloud Computing using CRN
Authors: Surbhi Kumari  , Zeba Sulthana A  , Vadari Shivananda Akshaya  , Vennupusa Sravanthi
Published: May 2024

Limited processing power in Cognitive Radio Networks (CRNs) creates challenges for secure radio resource management, particularly in dynamic spectrum access environments. This paper proposes a novel cloud-assisted CRN framework that addresses this limitation. By offloading spectrum sensing and allocation tasks to the cloud's vast computational resources, CR users can achieve a more secure and efficient spectrum utilization. The cloud platform prioritizes robust security protocols to safeguard spectrum information and communication, ensuring confidentiality, integrity, and user trust. This innovative approach optimizes spectrum usage, improves Quality of Service (QoS) for CR users, and strengthens the CRN's defense against unauthorized access and malicious attacks
Epidemiological Characteristics of Chronic Renal Failure Patients of Hodeidah, Yemen in 2023
Authors: Al Mutawakil Taha , Al Kamarany Mohammad Amood , Suhail Khaled , Kamal Ayman , Alak Mohammed
Published: May 2024

Chronic renal failure (CRF) is an emergent worldwide public health problem. The increasing incidence of CRF warrants a need for an epidemiological approach to better understand the disease and its prevention.  Therefore, the study aims to describe the epidemiological characteristics of chronic renal failure patients in Hodeidah, Yemen.  The study included 560 patients with CRF in retrospective study (a case series based on medical files) in Center of Dialysis and Renal Diseases of Hodeidah, Yemen from 1st January 2023 to 31st December 2023. The patients were diagnosed based on evidence – based clinical practice guideline of all stages of CRF that was extracted from the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (NKFKDOQI). Epidemiological data were reported with ethical approval consideration, data obtained were analyzed. 560 cases were diagnosed with renal failure, 555 patients (99.107 %) of them were diagnosed with CRF and 5 patients (0.89 %) were diagnosed with acute renal failure (ARF). CRF patients was founded 61.81 % in the males while 38.11 % in the females. However, this difference was statistically significant (X2= 30.921; p < 0.00001). The age range of patients was from 5 to 95 years, where 54.64% of cases occurred more than 50 years then 39.28 % between 18 to 49 years and the lower frequency was in children less than 18 years (5.22%) with different significant ( X2= 226.314 ; p < 0.00001).  In addition, 81.98 % of patients in rural and 18.02 % in urban. The maximum cases were reported in summer session namely 13.21 % in July and 11.25 % in August. On the other hand , the major causes  were chronic diseases 406 case (73.14 %)  that diagnosed and recorded , 161 case (29 %) of  hypertension ,132 case (23.78 %) of diabetes , 113 (20.36 %)  of inflammation nephrolithiasis obstructive uropathy , 8 cases (1.44  %)  of genetic polycystic renal disease  , and 4 cases ( 0.72 % ) of sedative narcotic addiction and  137 case (24.68%) of unknown causes with different significant ( X2= 119.00 ; p < 0.00001).  The chronic diseases namely diabetes and hypertension were the major causes reported to develop the CRF, therefore, to prevent the development of CRF based on center for control diseases and control (CDC), managing risk factors.
The Wrongful Arrest Theory: Justice For Individuals With Diabetes In Criminal Law Procedure
Authors: McChesney Rachel
Published: May 2024

This paper discusses the vulnerability of diabetic individuals when they are subjected to arrest procedures in criminal law. It analyzes the wrongful arrest theory as a device for individuals with disabilities to bring claims against law enforcement when their rights under Title II of the Americans with Disabilities Act (ADA) are violated. Individuals with diabetes constitute more than 10% of the United States population, meaning that many individuals are at risk for police misconduct because of their disability. The symptoms that come about with having diabetes, such as fruity-smelling breath and loss of coordination, can be mistaken for illegal activity leading to a wrongful arrest. No case involving ADA Title II violation claims against law enforcement relying on the wrongful arrest theory has been brought by an individual with diabetes. This paper explores the possibility of its potential success. To accomplish this, this paper first defines disability under the law, including diabetes. It then conducts a thorough analysis of the wrongful arrest theory in various case studies consisting of non-diabetic and diabetic plaintiffs. In a final case study, I apply the wrongful arrest theory to a case hypothetically to illustrate the plaintiff's potential success if he claims a wrongful arrest. Lastly, I explore some of the theory’s limitations and propose a potential solution. I hope that my findings will emphasize the lack of discourse surrounding individuals with diabetes in disability law and encourage further research and education on the wrongful arrest theory as a successful claim against Title II violations committed by law enforcement.