bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the Use of Art as a Tool for Social Justice in Kenya
Authors: Mukahi Jeon 
Published: June 2023

Purpose: The aim of this study was to examine art as a tool for social justice in Kenya.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low-cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings revealed that there exists a contextual and methodological gap relating to the use of art as a tool for social justice in Kenya. The preliminary empirical review revealed that art education is a useful tool in promoting social justice, as it enhances student engagement and facilitates the exchange of information and resources. The study revealed that the community art project facilitated critical thinking, self-expression, and social cohesion among participants. It contributed to raising awareness of social justice issues and empowering marginalized individuals and communities.
Unique Contribution to Theory, Practice and Policy: The Critical Theory, Cultural Hegemony and Aesthetics of Liberation may be used to anchor future studies on the use of art as a tool for social justice in Kenya. The government should promote inclusivity and diversity in the arts by supporting the representation and visibility of underrepresented groups as well as providing resources, funding, and platforms for artists and communities to collaborate on projects that address social justice concerns and amplify marginalized voices.
IDENTIFICAÇÃO DO PERFIL EPIDEMIOLÓGICO DE CRIANÇAS COM O DIAGNÓSTICO DE BAIXA ESTATURA DO OESTE DO PARANÁ
Authors: Hoffmann Rozetti Júlia , Vilas Boas Pescador Marise 
Published: June 2023

O crescimento infantil representa um parâmetro fundamental para avaliar o estado de saúde de crianças e adolescentes, pois se há distúrbios no desenvolvimento físico entende-se que houve falha em alguma etapa de cuidados direcionados a elas. O crescimento é determinado por diversos fatores, tanto genéticos como ambientais, fato que torna a dinamicidade do processo ainda mais relevante. Foi realizado um estudo observacional, descritivo, de natureza transversal com a coleta de dados primários e secundários. Para a realização desta pesquisa foram recrutados dados de prontuários de 46 pacientes com o diagnóstico de baixa estatura em acompanhamento ou em tratamento no ambulatório de endocrinologia pediátrica do CISOP. O grupo A foi composto por 14 pacientes, os quais receberam acompanhamento pré-natal durante toda a vida intrauterina, que foram direcionados para parte da pesquisa voltada a coleta de informações com base na resolução de um questionário, sendo este respondido pelos responsáveis legais do paciente. O grupo B foi constituído por 32 pacientes que foram direcionados para a coleta de informações com base na coleta de dados dos seus prontuários médicos. Nos grupos estudados as causas intrínsecas prevaleceram como causa da baixa estatura, estando presente em 26 pacientes, dos quais 9 possuíam deficiência de GH, 4 possuíam hipotireoidismo, 4 possuíam síndromes genéticas, 2 possuíam necessidade de testosterona, 5 possuíam baixa estatura familiar e 2 possuíam doença renal crônica, o que representa 56,5% do total dos participantes.
Refined Fuzzy Soft Sets: Properties, Set-Theoretic Operations and Axiomatic Results
Authors: Saeed Muhammad , Saif Ud Din Irfan , Tariq Imtiaz , Garg Harish 
Published: June 2023

This article discusses the results of an investigation into refined fuzzy soft sets, a novel variant of traditional fuzzy sets. Refined fuzzy soft sets provide a versatile method of data analysis, inspired by the need to deal with uncertainty and ambiguity in real-world data. This research expands on prior work in fuzzy set theory by investigating the nature and characteristics of refined fuzzy soft sets. They are useful in decision-making, pattern recognition, image processing, and control theory because of their capacity to deal with uncertainty, ambiguity, and the inclusion of expert information. This study analyzes these fuzzy set models and compares them to others in the field to reveal their advantages and disadvantages. The practical uses of enhanced fuzzy soft sets are also examined, along with possible future research strategies on this exciting new topic.

Received: 14 March 2023 | Revised: 25 May 2023 | Accepted: 14 June 2023

Conflicts of Interest
Harish Garg is the editor-in-chief for Journal of Computational and Cognitive Engineering, and was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Effect of the Clinical Usage of Tetracaine Hydrochloride Ophthalmic Solution on Multiple Antibiotic Resistant Staphylococcus Aureus
Authors: Kyei Samuel , Bert Boadi-Kusi Samuel , Nana Effriam-Menyah Mary , Duah Paulina 
Published: June 2023

Background: The emergence of resistant strain bacteria is rendering many antibiotics ineffective in the management of infectious diseases.
Objective: The purpose was to investigate the effect of Tetracaine hydrochloride usage on the emergence of a resistant strain of bacteria.
Materials and methods: A total of fifteen New Zealand White rabbits of either sex weighing between 1400-2700 grams were used for this study. Infectious agents of Ophthalmia neonatorum were cultured, isolated and identified. Their susceptibility to various antibiotics was assessed. A resistant strain was picked up and inoculated on the conjunctiva of the rabbits to induce bacterial conjunctivitis. Rabbits were divided into three groups of five rabbits each. Group A received Tetracaine as treatment, group B received 0.3% Ciprofloxacin as treatment and group C received normal saline as a treatment for 14 days. Outcome measures included bacterial colony count, clinical signs and post-antibiotic susceptibility test.
Results: The tetracaine significantly reduced clinical signs (P=0.012) compared to normal saline (control) and 0.3% Ciprofloxacin reduced clinical signs (P =0.003) compared to normal saline (control). This means there was a significant decrease in clinical scores with the interventions as compared to the normal saline which showed minimal change in clinical score. Tetracaine hydrochloride significantly reduced bacteria load (P≤0.0001). It decreased multiple antibiotic-resistant index by 20%.
Conclusion: Tetracaine has a supplemental antibiotic effect on resistant strain of bacteria and does not worsen antibiotic resistance of bacteria. Clinical usage of tetracaine ophthalmic solution should therefore be applied after conjunctival swaps or corneal scrapping have been taken.
Analyzing facilitators and barriers to telehealth in rural North America during the covid-19 pandemic: A scoping review
Authors: Wojtara Magda 
Published: June 2023

Background: It has previously been established that many people living in rural communities experience health disadvantages and less access to medical care. Over the past decade, innovations in telehealth and other innovative models of care have been developed with the goal of overcoming these inequities for those living in rural areas.
Objective: The aim of this paper was to describe both outcomes and characteristics of studies involving telehealth in rural areas of North America during the COVID-19 pandemic.
Materials and Methods: A scoping review was undertaken. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was utilized in order to understand the empirical and theoretical data on telehealth usage in the United States, Canada and Mexico during the COVID-19 pandemic. The following terms were utilized: ‘rural health’ AND ‘telehealth’ AND ‘covid-19’. Separate searches were completed for the three included countries: ‘United States’, ‘Canada’, and ‘Mexico’. PubMed and Google Scholar were utilized.
Results: The literature search revealed 1197 articles published in English between 1st January 2019 and 31st August 2022. One hundred and fifty articles were included in the review including 135 from the United States, 12 from Canada, and 10 from Mexico. Some articles were cross-collaborations between two of these countries. Among these papers, 18% (27) focused on telemedicine for mental health treatments, 14.7% (22) focused on oncology or cancer, 11.3% (17) focused on telemedicine for the veteran subpopulation, 2.7% (4) used a mixed methods approach, and 14% (21) used a qualitative approach.
Conclusion: This scoping review reveals that the current literature on telehealth in rural areas during the COVID-19 pandemic is largely descriptive. There were only a few publications that focused on comparative health outcomes using telehealth in urban and rural populations in close proximity to each other. Telehealth is well represented in published literature on inequities and innovation, but there is still limited data on health outcomes and comparisons that can be drawn cross-nationally. Further studies should aim to study longer term health outcomes for those in rural areas using telehealth as opposed to areas where telehealth interventions have not yet been adopted
Perceptual Learning, Categorical Perception, and Cognitive Permeation
Authors: Burnston Daniel 
Published: June 2023

Proponents of cognitive penetration often argue for the thesis on the basis of combined intuitions about categorical perception and perceptual learning. The claim is that beliefs penetrate perceptions in the course of learning to perceive categories. I argue that this "diachronic" penetration thesis is false. In order to substantiate a robust notion of penetration, the beliefs that enable learning must describe the particular ability that subjects learn. However, they cannot do so, since in order to help with learning they must instruct learners to employ previously existing abilities. I argue that a better approach recognizes that we can have sophisticated causal precursors to perceptual learning, but that the learning process itself must operate outside of cognitive influence.
Cabaran Pengurusan Warisan Bina Bandar di Bandaraya Kota Kinabalu (1881â€“2012)
Authors: Baco Zainuddin 
Published: June 2023

Abstrak
Bina bandar merupakan sebahagian daripada warisan budaya yang amat bernilai dalam tamadun masyarakat manusia dan negara amnya. Peranannya menjadi kekuatan komitmen yang menyatukan hasrat sesuatu masyarakat untuk mengekalkan dan memelihara warisan yang menjadi bukti kepada perkembangan tamadun mereka. Lantaran itu, pengurusan warisan bina bandar perlu dilaksanakan secara baik supaya melindungi kelangsungan tapak. Namun, dasar pembangunan di Malaysia yang telah dilaksanakan untuk mengejar status negara maju menjelang tahun 2020 acap kali mengabaikan faktor kelangsungan tapak warisan bina di kawasan bandar. Perbincangan ini akan memerihalkan kronologi pembandaran dan cabaran pengurusan warisan bina bandar di Kota Kinabalu, dan juga memberikan rekomendasi pengurusan yang lebih berkesan pada masa hadapan.
Abstract
A town built is part of the cultural heritage of great value to the civilization of a society and nation in general. Its role is seen as a force that unites passionate commitment of the society to maintain and preserve the heritages that bear testimony to the development of their civilization. Therefore, the management of town built heritage needs to be implemented properly in order to protect the sustainability of the sites. But development policy in Malaysia has undertaken to pursue the status of a developed nation by 2020 often ignoring the sustainability of the built heritage sites in town areas. This discussion will describe the chronology of the urbanization and challenges in the management of town built heritage in Kota Kinabalu, and also provide more efficient management recommendations for the future.
Sejarah Penyelidikan dan Inventori Data Arkeologi Sabah
Authors: Baco Zainuddin , Majinus Nelly 
Published: June 2023

Kajian ini mengupas tentang sejarah penyelidikan arkeologi dan penginventorian data arkeologi di Sabah dari tahun 1952 sehingga 1972. Penelitian sejarah penyelidikan arkeologi akan diteliti berdasarkan tiga fasa utama. Pembahagian fasa ini adalah selaras dengan objektif, metodologi dan pihak yang melaksanakan penyelidikan arkeologi. Manakala dari segi inventori data arkeologi, pembahagian data dibuat berdasarkan dua tahap penting iaitu tahap kebudayaan dan tahap kelengkapan data arkeologi. Kaedah pengumpulan data arkeologi dilakukan menerusi kajian perpustakaan, temu bual dan kerja lapangan di tapak arkeologi. Kaedah analisis data arkeologi pula adalah dengan membuat analisis pebandingan dan analisis kandungan ke atas kesemua sumber yang telah diperolehi. Hasil kajian ini diharap dapat mengetengahkan sebuat system inventori data arkeologi di negeri Sabah dan membantu Jabatan Muzium Sabah dalam menyediakan sebuah inventori atau pangkalan data khusus untuk menilai dan melindungi tapak arkeologi.
This study examines the history of archaeological research and archaeological data in Sabah from 1952 to 1972. The historical research of archaeological research will be examined based on three main phases. The subdivision of this phase is in line with the objectives, methodologies and practices of archaeological research. In terms of archaeological data, the distribution of data is based on two important stages, the cultural level and the level of archaeological data. Methods of collecting archaeological data were conducted through library studies, interviews, and fieldwork at archaeological sites. The method of archaeological data analysis is to make a comparative analysis and content analysis of all available sources. The results of this study are expected to highlight an archaeological data inventory system in Sabah and assist the Sabah Museum Department in providing a specialized inventory or database for assessing and preserving archaeological sites.
Personalised Skin Care Recommendation Using Machine Learning
Authors: Supriya Jadhav et al.  
Published: June 2023

Acne is a common skin condition that can cause both physical and emotional distress for many individuals. Acne can be prevented and treated with skincare products, but choosing the right ones can be challenging. The use of inappropriate skincare products can even worsen the condition. To address this problem, we propose using machine learning to analyse various features of an individual’s skin quality and acne status and then recommend the most appropriate facial skincare products for that person. This approach takes into account the specific needs of each individual’s skin type and can help prevent the use of products that may exacerbate the condition. Several research papers regarding skin care product recommendation were reviewed and an appropriate solution to address this problem was concluded. You Only Look Once (YOLO) and Convolutional Neural Network (CNN) algorithms assist in determining the skin concern and recommending a skin care regimen. This system provides a precise idea of which product is best for our skin type. The suggestion for skincare products is based on different types of skin that people may have. By using this approach, the final result is expected to have an accuracy score of over 97%.
Element Based Searchable Encode in Cloud Computing Using Spheroid Arch Alphanumeric Monogram Algorithm (SAAMA)
Authors: M. Anisha Vergin, R. Ravi  
Published: June 2023

To obtain statistics from two sources, we need minutiae positions from one source and the orientation from one source, and the reference points from both sources. A combined minutiae template is created with the use of obtained statistics. In the field of remote data management services, cloud package has emerged as a major sector. It raises safe keeping issues because encode is currently the greatest method for avoiding data leakage. A promising method among these is public key encode with keyword rifle (PKEKR), which allows users to quickly rifle through encoded data files and PKEKR come across cloud. The problem is Cloud Server discover the privacy statistics. In our proposed system propose a forward secure Element based Spheroid Arch Alphanumeric Monogram searchable encode scheme. This method is more effective.
Predictive Analytics for Re-Hospitalization and Disease Prediction
Authors: S. M. M. Naidu et al.  
Published: June 2023

Hospital readmissions can have serious consequences for both patients and healthcare providers. They can lead to increased healthcare costs, lower patient satisfaction, and negative health outcomes. When patients are readmitted to the hospital soon after being discharged, their risk of morbidity and mortality increases. Additionally, hospitals may face penalties for having too many readmissions. To address this issue, researchers are investigating the potential of using machine learning techniques to predict a patient’s risk for readmission and illness progression. A large dataset of electronic health records from a major hospital was analyzed, containing patient information on medical histories, diagnoses, treatments, and personal characteristics. Several machine learning techniques, such as logistic regression, decision trees, random forests, and neural networks, were utilized to detect important risk factors and develop predictive models for re-hospitalization and disease progression.
The performance of each machine learning model was assessed by the researchers using diverse metrics, including accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve. The study showed that machine learning techniques have the potential to improve patient outcomes by identifying high-risk individuals who may benefit from targeted interventions.
The paper presents a range of approaches to explore the factors that contribute to hospital readmissions and introduces a predictive model that employs machine learning algorithms to identify patients who are at a higher risk of readmission. The research involved patients who were admitted to a tertiary hospital, and the model’s effectiveness was assessed using several metrics. The article discusses the possible implications of the model for clinical practice and future research, emphasizing the potential of machine learning algorithms to predict hospital readmissions and enhance patient outcomes.[1]
Smart Vehicle: A Systematic Review
Authors: Sonali P. Raut, A. C. Pise  
Published: June 2023

This article gives a summary of the existing state of affairs and potential developments for smart vehicles while taking into consideration social, technological, and transportation aspects. Additionally, it examines the strategies for turning the smart into a generic vehicle, potential future developments, 5G, ADAS, and power source characteristics. This will make it possible for linked automobiles to take center stage in smart cities. Information may be exchanged between vehicles and road infrastructures as well as from one vehicle to another thanks to the vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication systems. It attempts to improve mobility, prevent or lessen auto accidents, and offer additional advantages for road safety. Motivations, open problems, and suggestions from other academics were taken into account to improve the knowledge of many contextual components and characteristics of the industry. All publications about data transfers in the V2I communication system were thoroughly searched. They employ DSRC and 5G, Bluetooth, and WIFI technology in that, however there is a range and data transmission rate issue. I exploited RF frequencies to spontaneously broadcast the data in order to get around that.
Comparison of Turbulence Models in Simulation of Plane Jet Flow
Authors: K. D. Manwar, R. S. Tatwawadi  
Published: June 2023

Plane turbulent jets are widely used in a variety of applications. Such as jets in drying processes, air curtains for room conditioning, heating, mixing, ventilating applications etc., therefore, jet flow is a very important research topic in both experimental and analytical research.
Depending upon the position and forces acts on the jet, jets are broadly classified as turbulent free jet and turbulent wall jet. The studies conducted herein provide the comparison between various turbulence model present Computational Fluid Dynamics(CFD). Numerical approaches were used in the present investigation. CFD technique helped to understand better the hydrodynamics of the jet flow and correlate the numerical result.
Among the all turbulence model studied, the k-ε turbulence model performed the best. Performance of k-ω model was found to be somewhat superior to Spalart-Allmaras and Reynolds stress model.
Quality of Life among the Post - COVID -19 Persons in a Selected Institution, Trichy
Authors: Sarmila A. et al.  
Published: June 2023

Background of the study: The Pandemic of Coronary alignment put a tremendous amount of burden on the Health care system. The exact impact on the overall bodily, mental, and social well-being of COVID-19-infected patients. A maximum of them reported persistent aches, fatigue, and dyspnea these survivors’ great existence may be extraordinarily impacted.
Materials and Methods: This study was conducted to estimate the quality of life among post-COVID-19 persons. Data was collected after collecting demographic variables with the SF36 questionnaire. Analysis of data was done using inferential and statistical methods.
Results: among 30 Post COVID – 19 most of them graduated 27(90%), 29 (97%) were vaccinated, and 22 (73%) were non-hospitalized. The results showed that most of them are a highly satisfied quality of life16(53%), and 14 (47%) were a quality of life satisfied.
Conclusion: the present study concludes that even non hospitalized Post COVID 19 persons’ quality of life is altered so its insisted on the need for healthcare programme regarding post-COVID
Role of Media Management and social media in Election Campaign in India: A Case Study of 2019 General Election
Authors: Yadav Akhilesh 
Published: June 2023

The social media behemoths Facebook, Twitter, Google, and YouTube have become significant players in the national elections and state assembly elections in India. Social media has grown in importance as a campaigning tool in the Indian electoral system. These new media platforms are believed to play a key role in luring voters, particularly the new generation of young adults. Political parties and candidates can more quickly and efficiently reach a huge number of voters thanks to social media. Social media, as opposed to traditional media, enables politicians to actively communicate with potential voters. Social media enables political parties and candidates to communicate their values, objectives, and accomplishments with voters directly, giving them a sense of increased involvement in the election.
Candidates may more easily track participation on social media and provide their supporters with a behind-the-scenes look at their campaign. The gathering of news that is most pertinent to important target audiences is also made easier by these new media platforms. Research is crucial because social media usage is on the rise and has been proved to be significant. The current study focuses on the usage and growth of social media in the political sphere and how it affects public participation in politics and society at large. The study will first look at the growth of social media as a voter outreach tool.