bluuebunny/crossref_metadata_2025 huggingface dataset:
A numerical investigation on the conductive drying process for phosphate sludge
Authors: Berroug Fatiha , Bellaziz Yassir , Lakhal El Khadir , Bahammou Younes , Ouazzani Naaila , Nouh Fatima Ait , Boukhattem Lahcen , Idlimam Ali
Published: October 2024

Phosphate production generates huge quantities of waste materials that pose both economic and environmental challenges. They are characterized by a high-water content, making disposal a very difficult task. To address this issue, conductive drying emerges as a viable solution to reduce the water content in the phosphate sludge to facilitate handling and specially recycling them as construction materials. This paper presents a simplified numerical model based on Fick's law, depicting heat and mass transfer in porous media to simulate the conductive drying process within the phosphate sludge. To provide more accuracy to the numerical model solution, the experimental data are integrated into the numerical model as boundary conditions, enabling the prediction of temperature profiles, thermal conductivity, and effective moisture diffusivity throughout the conductive drying process. The water evaporation capacity is found between 1.25 and 2.1 kg water/m2.h.These findings could be a tool for designing a suitable dryer for phosphate washing sludge.
Ortaokul Öğrencilerinin Bilim Merkezi Ziyaretinden Akıllarında Kalanlar: Bir Uzun Dönem Etki Araştırması
Authors: Laçin Şimşek Canan , Sağdıç Feray
Published: October 2024

Müzeler, hayvanat bahçeleri, botanik bahçeleri vb. informal öğrenme ortamları, insanların kendi ilgi ve ihtiyaçları doğrultusunda ziyaret ettikleri, gönüllü katılımın esas olduğu, eğlenceli ve keyifli ortamlardır. Bu ortamlara yapılan ziyaretlerden akılda kalanların neler olduğu merak konusudur. Bu araştırmada, bir bilim merkezi ziyaretinin uzun dönem etkisi araştırılmıştır. Bu amaçla, bilim merkezini ziyaret eden ortaokul öğrencilerinin bu ziyaretten bir yıl sonra neler hatırladıkları tespit edilmiştir. Araştırmada, Kocaeli Bilim Merkezi’ni ziyaret etmiş olan 7. ve 8. sınıf öğrencilerine bu ziyarete ilişkin neler hatırladıkları, açık uçlu soru formuyla sorulmuştur. Bu formda, hatırladıkları sergiler, bilim merkezinde gözlemledikleri olayları günlük hayatta hatırlama durumları ve tekrar ziyaret etme istekleri ve nedenleri sorulmuştur. Araştırmada, bilim merkezini bir yıl önce ziyaret etmiş olan 87 öğrenci (43 kız, 44 erkek) yer almıştır. Veriler içerik analizi ile analiz edilmiştir. Verilerin analizi, öğrencilerin birçok sergiyi hatırladıklarını; hatırladıkları sergilerin eğlenceli, dikkat çekici, deneme fırsatı sunan, aktif katılımlarını sağlayan sergiler olduklarını göstermiştir. Öğrencilerin, bilim merkezinde gözlemlediklerini ziyaret sonrası derslerde ve günlük hayattaki olaylarla ilişkilendirdikleri, bilim merkezini çok beğendikleri ve tekrar ziyaret etmek istedikleri belirlenmiştir. İnformal öğrenme ortamlarına yapılan okul gezilerin yapılandırılmış bir şekilde gerçekleştirilmesi ve bu ziyaretlerin ders içeriğiyle ilişkilendirilmesi önerilmektedir.
Factor Associated with Nutritional Status Among Children Aged 6 – 59 Months in Colol Public Health Center: A Cross-Sectional Study Article Sidebar
Authors:   Department of Child Health, Sanjiwani Regional General Hospital, Gianyar, Bali, Indonesia, Gitari Ni Made , Abdulhadi Fakhir Abid ,   Department of Child Health, Faculty of Medicine, Brawijaya University, Malang, Indonesia, Windiyanto Romy ,   Department of Child Health, Sanjiwani Regional General Hospital, Gianyar, Bali, Indonesia, Mariati Lusia Henny ,   Faculty of Nursing, University of Katolik Indonesia Santu Paulus Ruteng, Manggarai, East Nusa Tenggara, Indonesia
Published: October 2024

Objective: Malnutrition is one of the main factors influencing growth and development in children. Undernourishment still became a significant public health issue, including in Indonesia. This study aims to assess the prevalence and risk factors of nutritional status among children aged 6-59 months in Colol Public Health Center, East Manggarai Regency, and Indonesia. Material and Methods: A cross-sectional observational community-based study was conducted in the working area of Colol Public Health Center in August 2023. This study included 138 parents and children aged 6 to 59 months who visited Posyandu, chosen by a simple random cluster sampling technique. The data were collected using a structured questionnaire, secondary data from the Maternal and Child Health (MCH) book, and anthropometrical measurements. Three anthropometric indicators (underweight, stunted, and wasted) were assessed according to the 2006 WHO Child Growth Standards and analyzed by SPSS 25.0. Bivariate and multivariate analyses were used to identify risk factors associated with children’s nutritional status. The statistical significance was stated at p-value <0.05 with 95% confidence intervals. Results: The prevalence of underweight, stunted, and wasted among children aged 6-59 months was 18.8%, 22.4%, and 6.5%, respectively. The multivariable logistic regression model showed that low birth weight increased the risk of underweight (AOR = 13.73 (95% CI: 2.40-78.63)), stunted (AOR = 30.55 (95% CI: 3.16-295.09)), and wasted (AOR = 12.16, 95% (CI: 2.02-73.37)) among children aged 6-59 months. Children with mothers aged <20 or > 35 years old increased odds for underweight (AOR 2.99 (95% CI: 1.13-7.94)). Meanwhile, children aged 24-59 years old were more likely stunted (AOR 4.89 (95% CI: 1.89-12.64)). Conclusion: Undernutrition still becomes a public health problem among children aged under 5 years old in the working area of Colol Public Health Center, East Manggarai Regency. Low birth weight, age of the mother <20 or > 35 years old, and age of the children 24-59 years are significantly associated with nutritional status. The primary health center should cooperate with stakeholders across sectors, especially promoting programs to prevent low birth weight
Comparing Color Strength Results through Analysis of Rinse Water between Wool Dyed with Onion Skins and Mordants and Synthetic Dye
Authors:   University of Minnesota Twin Cities, USA, Hinze Sierra , Clarke-Sather Abigail ,   University of Minnesota Duluth, USA
Published: October 2024

The textile industry is one of the biggest global polluters releasing chemicals into the air, land, and water. The majority of these emissions are due to the chemicals that enter the water stream from the textile dyeing process. While synthetic dye effluents are very hard to remove from the wastewater, natural dyes have a very minimal effect on the environment due to their biodegradability. One major issue that prevents the textile industry from using natural dyes is the differences in colorfastness between the synthetic dyes and natural dyes. Because of this, this study will evaluate if the use of a mordant before fiber dyeing could increase the colorfastness of a natural dye so that the use of natural dyes can be increased in the textile industry. Harvesting a dye from yellow onion skins has proved to be an attractive dye product not only due to its color performance but since it is a natural waste product, not interfering in the food supply chain. Dye from onion skins was compared to a synthetic dye counterpart, Rit brand dye. One wool sample was dyed with Rit, and three others with the onion dye without a mordant, and with lemon juice or iron ferrous sulfate as mordants. These samples were then washed until the rinse water became clear. The rinse water was then evaluated with a UV-visible spectrophotometer. The KubelkaMunk theory was used to solve for color strength of the rinse water or how much dye bled from the wool during washing. In conclusion the Rit dye and the onion dye with the lemon mordant performed better than the onion dyes without a mordant and with an iron mordant.
ЦИФРОВАЯ ТРАНСФОРМАЦИЯ И ЕЕ ВЛИЯНИЕ НА ЗАНЯТОСТЬ И КВАЛИФИКАЦИЮ ПЕРСОНАЛА В СФЕРЕ БЫТОВОГО ОБСЛУЖИВАНИЯ В УЗБЕКИСТАНЕ
Authors: Исхакова Сарвар
Published: October 2024

В данной статье рассматриваются тенденции и особенности цифровизации в сфере бытового обслуживания в Узбекистане. Исследование охватывает анализ текущего состояния цифровой интеграции, выявление основных проблем и вызовов, а также оценку влияния цифровых технологий на занятость и квалификацию персонала. В статье подчеркивается значимость цифровой трансформации для повышения конкурентоспособности национальной экономики и обеспечения устойчивого экономического роста, а также предлагаются рекомендации по эффективной адаптации к новым условиям.
INNOVATSION TADBIRKORLIKNI MOLIYALASHTIRISHDA MUQOBIL MOLIYALASHTIRISH VOSITALARIDAN FOYDALANISH VA UNI TURISTIK XIZMATLAR SOHASIDA QO‘LLASH IMKONIYATLARI
Authors: Ollanazarov Bekmurod
Published: October 2024

Maqolada innovatsion loyihalarni muqobil moliyalashtirish vositasi hisoblangan kraud-moliyalashtirish tizimi imkoniyatlari qarab chiqilgan. Innovatsion loyihalarni moliyalashtirish vositasi hisoblangan kraud-moliyalashtirish tizimining yo‘nalishlari bo‘lgan kraudfanding, kraudlending va kraudinvesting-larning o‘ziga xos hususiyatlari, afzalliklari va kamchiliklari tadqiq qilingan. Kraud-moliyalashtirish bozori rivojlanishining jahon miqyosidagi tendensiyalari tahlil qilingan. Turizm sohasidagi innovatsion loyihalarni moliyalashtirishda kraud-moliyalashtirishdan foydalanish imkoniyatlari ko‘rib chiqilgan. O‘zbekiston Respublikasida kraud-moliyalashtirish tizimini yo‘lga qo‘yish muammolari va istiqbollari tavsiflangan.
TO‘QIMACHILIK SANOATI KORXONALARIDA INVESTITSION MUHIT JOZIBADORLIGINI BOSHQARISHNING ZAMONAVIY TENDENSIYALARI
Authors: Maxsudov Sherzod
Published: October 2024

Mazkur maqolada ijtimoiy-iqtisodiy taraqqiyoti, investitsiya faoliyati, daromadning samaradorligi, kapital qiymati, investision faollik, investitsion siklning boshlanishi davri, investision faoliyatni shakllantirish shartlari, investitsion salohiyat, investitsiyalashga moyillikni xususiyatlovchi makroiktisodiy nisbatlar, Real investision resurslar, investitsion faoliyat natijalar, korxonalar moliyaviy kuyilmalari, xorijdagi va xorijdan investitsiyalar, investision faollik ko'rsatkichlari va mezonlari nazariy asoslab berilgan.
ENHANCING FINANCIAL RESOURCE FORMATION IN BUSINESSES
Authors: Tadjibekova Dilnoza
Published: October 2024

This paper delves into the methods of developing financial resources within businesses, particularly in the context of Uzbekistan. It highlights major challenges including restricted access to funds, regulatory barriers, and delays in technology adoption. The article suggests various strategies such as advancing the financial markets, revising regulations, diversifying sources of finance, educational and training programs, and embracing financial technologies. These strategies are designed to improve the financial robustness and market competitiveness of Uzbek businesses, thereby aiding in the country's overall economic growth.
AHOLI BANDLIGINI TA’MINLASH ISTIQBOLLARI XUSUSIDA
Authors: Radjabova Malika
Published: October 2024

Maqolada aholi bandligi tushunchasi iqtisodiy kategoriya sifatida tahlil qilingan va aholi bandligini ta'minlashga qaratilgan mexanizm bo'yicha takliflar ishlab chiqilgan. Ushbu takliflar tufayli mamlakatimizda ishsizlikni kamaytirish va aholi bandligini ijtimoiy zarur ishchi kuchi bilan oshirish imkoniyatlari ta’kidlandi.
BIOETIK MADANIYATNING RIVOJLANISH BOSQICHLARI VA UNING ZAMONAVIY IMIJI
Authors: Sharipova Barno
Published: October 2024

Mazkur maqolada bioetik madaniyatga oid ilmiy tadqiqotlarning tahlilida ularning tibbiy, siyosiy, axloqiy ijtimoiy taraqqiyotga ta‘siri ochib berishga harakat qilingan. Bioetik madaniyatning rivojlantirish bosqichlari tahlil qilingan bo`lib, uning bugungi kundagi zamonaviy imidji atroflicha yoritilgan.
AXBOROT MUHITINING OLIY TA’LIMGA TA’SIRI: KONSTRUKTIV VA DЕSTRUKTIV OMILLAR
Authors: Xalikulova Umida
Published: October 2024

Maqolada iqtisodiyotning jadal rivojlanishi, ta’lim xizmatlari va iste’molchilarining o‘zgarishi, intellektual texnologiyalar takomillashtirish, ekologik vaziyat va jamiyatni axborotlashtirishdagi o‘zgarishlar va ularning oliy ta’lim sohasiga ta’siri o‘rganilgan. Axborot muhiti ijtimoiy va individual tajribani uzatishda, fan va madaniyat yutuqlarini rivojlantirishda muhim rol o‘ynaydigan, axborot-kommunikatsiya texnologiyalaridan foydalangan holda axborot resurslari va boshqa foydalanuvchilar bilan o‘zaro aloqani ta’minlaydigan axborot makonining bir qismi sifatida ko‘rib chiqilgan. Shuningdek, axborot muhitining notinchligi, murakkabligi, dinamikligi, qulayligi, interaktivligi, omillarning o‘zaro bog‘liqligi va ochiqligidan kelib chiqadigan konstruktiv va destruktiv omillarga e’tibor qaratilgan.
Real-time Performance Comparison of Face Detection Algorithms using Raspberry Pi
Authors: Hetvi Gunjan Shah  , Vraj Bhavesh Suthar  , Shital P. Thakkar  , Vinay M. Thumar
Published: October 2024

Abstract
This study reviewed state-of-the-art face-detection techniques like Haar cascade, Dlib HOG, MTCNN, and MediaPipe; implemented and tested them on Raspberry Pi, and evaluated their accuracy, speed, and frames per second. Overall, the research underscores the practical challenges of face detection, including varying lighting, facial expressions, occlusions, poses, scale of face, and accessories, and provides valuable insights for developers and researchers working on edge AI applications on low-cost edge devices. The study found that the MediaPipe face detection algorithm demonstrated robust performance, even with low-quality images, and showed good efficiency and resource management on the Raspberry Pi. The research emphasized the importance of considering factors like accuracy, speed, and resource efficiency in face detection on edge devices. The findings suggest that MediaPipe is a strong candidate for applications requiring efficient face detection, affordable and versatile platforms like Raspberry Pi. By focusing on the Raspberry Pi, the study offers a unique perspective on the performance of state-of-the-art face detection algorithms in real-world, resource-constrained environments, making it a significant contribution to the field of face recognition and edge computing.
Hemo-cloud: Revolutionizing Blood Bank Operations Through Cloud Technology
Authors: J. Hanveshith Reddy  , NG. Karthikeya  , B. Abhishek  , Ms. T Jayasri Devi
Published: October 2024

The online blood bank management web application is a useful tool which can be used in different areas of the healthcare setting such as laboratories, clinics and even emergency situations where there is a need for blood units. Because of streamlining all the operational procedures that are needed for blood donation as well as for its purchase, this system is in fact a one stop center for the management of blood operations. Important facts about the blood groups and their site cannot be missed out by users of our web. This grips up reflection ensures that in case of emergency any one even who is ready to donate or any representative of the authorized centers can quickly search and get the required blood groups. One of the main objectives of our system is also to minimize the concerns which people usually have when they are in need of blood due to its lack. Through focusing on blood systems that prevent breakdowns in ordering and using the blood, we will construct efficient systems that, together, eliminate the problems encountered in blood purchasing and usage.
Advancing Analytical Excellence: A Comprehensive Exploration of ICH Q14 in the Lifecycle of Analytical Procedure Development and Optimization
Authors: G T Jyothehs Kumar  , Dr. B.S.A. Andrews  , Dr. V D N Kumar Abbaraju  , Dr. P. Sunil Reddy
Published: October 2024

This research article addresses the complexities of analytical process development and optimization in line with the principles set out in the Commission's Effectiveness of the Requirements for Medicinal Products for Human Use (ICH) Q14 guidelines. Focusing on the pharmaceutical and chemical industry, this article describes the early stages of development in terms of sustainable lifestyles. The first study explores the important role of analytical procedures in ensuring product quality and regulatory compliance, introduces ICH Q14 and explains its scope and objectives. The fundamental principles of audit development are reviewed in depth, including risk assessment, design, and the interaction between Audit Objectives (ATP) and Methodology. Operational Development Region (MODR). Concepts such as Design of Operations (DoE) and Quality by Design (QbD) are under scrutiny for their development and optimization. Real-life case studies demonstrate the application of Q14 principles and demonstrate successful examples of effective methods and continuous improvement in drug screening, drug purity testing and environmental analysis. Looking ahead, this article explores how new technologies, potentially innovative regulations and international cooperation will shape the development landscape. Challenges such as the complexity of new compounds and the need for sustainable practices are addressed and the need for business professionals to be flexible and innovative is emphasized. In summary, this research article can serve as a general guide for professionals in the pharmaceutical and chemical industry, providing insight into the content, eight owners, and use of development analysis. Using the principles defined in ICH Q14, community auditors can investigate the changing landscape and make further progress on quality assurance.
Isolation, Identification and Evaluation of the Effective Phyto-Compounds for The Management of Groundnut Beetles Infesting Stored Groundnut (Arachis Hypogaea L.)
Authors: Lalit Chowdhury  , Manoja Dash  , Sarada Mohapatra  , Debashis Mohanty  , Prakash Kumar Sahoo  , Niladri Debata  , Sushree Chowdhury
Published: October 2024

The effectiveness of various botanicals was tested against the Major Pest of shelled groundnuts, the red flour beetle, Tribolium castaneum (Herbst) (Coleoptera: Tenbebrionidae), under artificial infestation, in Laboratory conditions for one year. Essential Oils isolated by Clevengers Apparatus , @1%v/w  of Pongamia glabra (Karanja Oil), Azadirachta indica (Neem Oil), Brassica campestris (Mustard Oil) , Crown oil (Resin of Shorea robusta) , Dalbergia sisso (Sisso Oil),  Oryza sativa (Rice bran oil), Helianthus annus (Sunflower Oil) , Ricinus communis (Castor Oil), Aegle marmelos (Bael Oil), Sesamum indicum (Til Oil),  etc were tested for their bioefficacy against the Major Pest, of shelled groundnuts,  red flour beetle  Tribolium castaneum, (Herbst) Tenebrionidae, Coleoptera, under artificial infestation, in Laboratory conditions for one year. Out of all these plant products only, Crown oil (Resin of Shorea robusta) gave 100 % pod/Kernel protection for one year.  The LD 50 values were found out to be - 0.5% v/w. Spectroscopic GC MS analysis of, Crown oil (Resin of Shorea robusta) are identified as 2-Ethyl-oxetane (RT 2.223), as the major product     It may be due to the strong aromatic nature of these phyto-product. Hence these phyto-product may be used as fumigants or insect repellants against Tribolium castaneum and can be included in the package of practices to save stored groundnut in storage.
Exploring Gender Differences in Investment Decision-Making: The Role of AI in Identifying and Addressing Behavioral Biases
Authors: Surabhi Sugathan  , Dr. Amit Kumar
Published: October 2024

This study investigates how Gender effects investment decision-making and AI's potential to detect and reduce behavioral biases. We utilized a 5-point Likert scale to score demographics, investment decision-making, and behavioral bias identification in 354 people who completed a self-administered online survey. The study examined gender, investment choices, and AI's impact on Behavioral Biases using descriptive correlation and SEM. Men scored slightly higher in Investment Decision-Making than women. (M = 3.7230 vs. M = 3.6784). There is no statistical significance for this difference. (t = 0.550, p = 0.583). SEM indicates gender affects behavioral biases. (β = 0.022, p < 0.05) these biases were significantly good for investment performance (β = 0.821, p < 0.05). The findings reveal how gender and behavioral biases interact, suggesting AI could improve financial decision-making.
Attachment Style, Interpersonal Dependency and Quality of Life Among Emerging Adult
Authors: Anjana Sunil  , Divya S Nair
Published: October 2024

An emerging adult typically is in a transitional phase from adolescence to full adulthood. Interpersonal dependency refers to a psychological state in which an individual relies heavily on others for emotional support, validation, and decision-making. Quality of life means an individual’s overall well-being and satisfaction with various aspects of their life. This study examines the connection between attachment style, interpersonal dependency and quality of life. 200 emerging adults of age 18-24 made up the sample, which include both males and females were collected from various colleges of Ernakulam and Kottayam district. Adult attachment style scale, Interpersonal dependency Inventory and WHO Quality of life brief scale were the instruments employed. The data was examined using the Spearman's correlation test, using SPSS version 28. In this present study there is a partial relationship between the subscales of attachment style, interpersonal dependency and quality of life. Some of the subscales of these variables are correlated and other subscales are non-correlated. There exists a positive correlation between some of the subscales of attachment style, interpersonal dependency and quality of life and the other subscales of attachment style, interpersonal dependency and quality of life was negatively correlated among emerging adults.
Omnicare: A Comprehensive ML/DL-Based Prediction System for Healthcare and Agriculture
Authors: Mallikarjuna Nandi  , M. Vinitha  , Dr. B. NagarajaNaik  , B.Yedukondalu Naik  , G.Dhramateja
Published: October 2024

Effective decision-making in healthcare and agriculture can be challenging due to the complexity and volume of data involved. Traditional methods often require extensive manual analysis and domain-specific expertise, which can be time-consuming and prone to error. The challenge is compounded by the need for real-time insights and accurate predictions to address critical issues such as disease diagnosis and crop management. Omnicare tackles these challenges by using advanced machine learning and deep learning technologies to facilitate predictions. With pretrained models, it delivers precise insights for medical and agricultural needs, eliminating the need for user-provided training data. This streamlined, user-friendly approach enhances decision-making and represents a significant advancement in applying AI to real-world problems
Regeneración urbana y turismo creativo: un estudio sobre la Red Distrito C, en Porto Alegre, Brasil
Authors:   Universidade do Vale do Itajaí – UNIVALI, Machado Pritsch Thiago Verschoore , Gomes E Silva Elloane Carinie ,   Universidade Federal do Pará – UFPA, De Oliveira Da Silva Bruno ,   Universidade do Vale do Itajaí – UNIVALI, De Mello Rossini Diva ,   Universidade do Vale do Itajaí – UNIVALI
Published: October 2024

Esta investigación buscó analizar las contribuciones que el turismo creativo puede ofrecer a la regeneración urbana de áreas degradadas en el 4º Distrito de Porto Alegre, Brasil, a través de la red Distrito C. El estudio tiene un enfoque cualitativo, con objetivos exploratorios y descriptivos. Los procedimientos realizados fueron de investigación bibliográfica, documental y de campo, utilizando un guía de entrevista dirigido a emprendedores creativos de la región. El método analítico utilizado para el tratamiento de los datos fue el análisis de contenido; los resultados señalaron la importancia de las acciones y actividades creativas desarrolladas por los miembros de la red Distrito C, que son herramientas para el turismo creativo en la región, especialmente en la diversidad de usos y vitalidad urbana.
Effectiveness of Mother Tongue Instruction on Literacy Rates in Primary Education in Kenya, Examining the Transition from Indigenous Languages to English in Urban and Rural Settings
Authors: Muchemi Joan
Published: October 2024

Purpose: The aim of the study was to analyze the effectiveness of mother tongue instruction on literacy rates in primary education in Kenya, examining the transition from indigenous languages to English in urban and rural settings
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Studies on the effectiveness of mother tongue instruction in Kenya's primary education reveal that using indigenous languages in early education significantly improves literacy rates, particularly in rural areas. In these settings, children who learn in their native languages during the early grades develop stronger foundational literacy skills compared to those taught in English from the start.
Unique Contribution to Theory, Practice and Policy: Sociocultural theory, cummins’ linguistic interdependence theory & transitional bilingual education theory may be used to anchor future studies on the effectiveness of mother tongue instruction on literacy rates in primary education in Kenya, examining the transition from indigenous languages to English in urban and rural settings. Schools, particularly in rural areas, need more resources like textbooks and teaching aids in indigenous languages to support early literacy development. Policymakers should implement flexible language policies that consider the different linguistic needs of urban and rural populations.
Synthesis of Nanoparticles for Drug Delivery in Korea
Authors: Kang C. C
Published: October 2024

Purpose: The aim of the study was to assess the synthesis of nanoparticles for drug delivery in Korea.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study indicated that the synthesis of nanoparticles for drug delivery has emerged as a promising strategy to enhance the efficacy and precision of therapeutic interventions. Nanoparticles offer several advantages, such as improved bioavailability, targeted delivery, and controlled release of drugs. Various methods are employed in their synthesis, including chemical reduction, sol-gel processes, and biological methods using natural organisms. These nanoparticles can be engineered to carry a wide range of drugs, including chemotherapeutics, antibiotics, and vaccines. Their small size allows them to navigate biological barriers and deliver drugs directly to specific tissues or cells, reducing side effects and improving treatment outcomes. However, challenges such as scalability, toxicity, and regulatory hurdles remain, necessitating further research to optimize their clinical applications.
Implications to Theory, Practice and Policy: Brownian motion theory, nanoscale phenomena theory, thermodynamic theory of nanoparticle stability may be used to anchor future studies on the synthesis of nanoparticles for drug delivery in Korea. Practitioners in the field should prioritize the enhancement of synthesis techniques and the focus on biocompatibility and safety to improve the practical applications of nanoparticle drug delivery systems. To ensure the safe and effective use of nanoparticles in drug delivery, policymakers must establish clear guidelines and regulations governing their application.
Comparative Analysis of Natural vs. Synthetic Antioxidants in Nigeria
Authors: Usoro Emem
Published: October 2024

Purpose: The aim of the study was to assess the comparative analysis of natural vs. synthetic antioxidants in Nigeria.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study indicated that natural antioxidants, derived from plant sources such as fruits, vegetables, and herbs, are often preferred for their bioavailability and health benefits, including their ability to neutralize free radicals and reduce oxidative stress. They are associated with lower toxicity and potential health-boosting properties, such as reducing the risk of chronic diseases. On the other hand, synthetic antioxidants, which are chemically manufactured, tend to have a more stable and consistent potency, making them more effective in industrial applications like food preservation. However, concerns about their long-term health effects, including potential toxicity and adverse side effects, have led to a growing preference for natural alternatives. While both types play important roles in protecting cells from damage, natural antioxidants are often seen as safer, though their effectiveness can vary depending on the source and concentration.
Implications to Theory, Practice and Policy: Free radical theory of aging, phytochemical hypothesis and toxicology of food additives may be used to anchor future studies on the comparative analysis of natural vs. synthetic antioxidants in Nigeria. In practical terms, health professionals should advocate for the incorporation of natural antioxidants into dietary guidelines, emphasizing foods rich in these beneficial compounds, such as fruits, vegetables, and herbs. From a policy perspective, there is a pressing need for regulatory frameworks that impose stricter guidelines on the use of synthetic antioxidants in food products, prioritizing safety assessments and considering long-term health impacts.
Monitoring Suhu dan Kelembaban Ruangan Server di BSPJI Palembang Menggunakan Microcontrol Arduino Berbasis Android
Authors: Prayuda Rizki Budi , Jambak Muhammad Ikhwan , Mair Zaid Romegar
Published: October 2024

This research aims to develop a temperature and humidity monitoring system for the server room at the Palembang Industrial Standardization and Services Center (BSPJI) using an Android-based microcontroller. This system monitors server room environmental conditions in real-time to maintain equipment performance and reliability. The microcontroller integrated with the Android application can collect temperature and humidity data using appropriate sensors, which can be accessed and analyzed remotely via the Android application. Temperature and humidity measurement results can also be forwarded via in-app notifications to notify users of abnormal conditions. This research combines microcontroller technology, environmental sensors, and Android applications to provide a monitoring solution that is effective and responsive to environmental changes in the server room. Hopefully, this system can help maintain server stability and performance at BSPJI more efficiently
Studi Perbandingan: Algoritma Random Forest, Naive Bayes Dan Support Vector Machine Dalam Analisis Sentimen Pada Aplikasi Capcut Di Google Play Store
Authors: irawan Indra , Wardianto Wardianto , Wathan M.Hizbul , Prayogi M. Bagus
Published: October 2024

CapCut, a highly popular video editing tool, boasts millions of users worldwide across various age groups. Posting reviews on the Google Play Store can provide valuable insights into this application. This study aims to evaluate the effectiveness of three classification algorithms Random Forest, Naïve Bayes, and Support Vector Machine in performing sentiment analysis on Google Play Store reviews of the CapCut application. User reviews are identified and categorized into positive, negative, and neutral labels using sentiment analysis methods. A total of three thousand user review datasets were employed in this investigation. The research procedure involved data preprocessing, feature extraction, and model training. The results show that the Random Forest classification method achieved 83% accuracy, the Naïve Bayes method 70% accuracy, and the Support Vector Machine method 86% accuracy, indicating user sentiment towards the CapCut application. With an accuracy of 0.86, the SVM algorithm is found to yield the best results
Exploring the Impact of Language in Advertising on Consumers’ Purchase Intentions: A Thematic Literature Analysis
Authors: Yusuf Ahmad Harith Syah Md , Abas Norazira Mohd
Published: October 2024

This study explores the literature on how language used in advertising can significantly impact consumers’ purchasing intentions. Language can evoke emotions, build trust, and create a compelling brand image, ultimately affecting consumer decisions. Understanding the themes and patterns of how language impacts consumers’ purchase intention is essential for academic inquiry and practical application in marketing strategies. This paper aims to study the themes and patterns of accessible literature from 2019 until 2023 in Google Scholar, Semantic Scholar, and Science Direct, specifically on the use of language in advertisement and how it affects consumers’ purchase intention. The analysis adopted Braun & Clake’s 6-step Thematic Analysis in exploring the themes and patterns of the use of language in advertisement. The study’s findings show that several themes and sub-themes were identified while exploring the literature. Among them are Exaggeration as a Persuasive Technique, Cultural Resonance and Social Identity, Emotional and Sensory Appeal, Informal Language, and Routes of Persuasion. Based on these themes, the study found that language within these themes aligns with several persuasive strategies. As a result, advertisers can understand a more specific perspective on the use of language in advertisements, enabling them to create advertisements that maximize persuasive language strategy within specific themes.
Influence of Social Occupation on Relapse among Recovering Alcoholic Rehabilitees in Selected Rehabilitation Centres in Meru County, Kenya
Authors: Murithi Kevin Mwega , Kiptui David Kipkorir , Kithela Shadrack Munanu
Published: October 2024

Relapse remains a significant challenge in the treatment of alcohol-related disorders, particularly after the completion of inpatient treatment programs. In Kenya, relapse rates range from 20-80% among recovering rehabilitees. This study emerged to investigate the specific social occupational factors contributing to relapse among alcoholic rehabilitees in selected rehabilitation centres in Meru County, Kenya, addressing a gap in local research on the topic. The study aimed to delve into the social occupational influences on relapse rates, a relatively unexplored area in previous local research about relapse. The respondents of the study were individuals who had relapsed and were currently undergoing treatment in three selected rehabilitation centres in Meru County: Holy Innocents BPSS Centre in Timau, Methodist Treatment Centre in Kaaga, and St Nicolas Rehabilitation Centre in Tigania West. Employing a correlational research design, the study gathered data through interviews and questionnaires, focusing on a target population of 93 relapsed alcoholics receiving inpatient treatment. Prior to the main data collection, a pilot study was conducted at Harmony Therapy Centre in Nkubu, Meru County. This pilot study was crucial in refining the data collection tools and ensuring the response validity, which is essential for the credibility of the research findings. Descriptive statistics results related to social factors influencing alcohol relapse among the respondents revealed that work-related stress (M=3.29, SD=1.239), lack of work (M=3.12, SD=1.160), financial instability (M=3.34, SD=1.137), and boredom (M=3.34, SD=1.229) significantly contribute to alcohol relapse among rehabilitees in Meru County, Kenya. Participants agreed that these factors were influential in their relapse. However, multi-regression analysis (β=-0.017, p=0.845) showed no significant relationship between social occupation and relapse, suggesting that while these factors are acknowledged by the rehabilitees, the broader influence of social occupation on relapse may be less significant in this specific context. The comprehensive analysis suggests that effective treatment for alcohol-related relapse requires personalized and holistic approaches. These should address the specific social and occupational risk factors that individuals face and aim to build resilience and well-being in their recovery journey. Thus, the findings of this study emphasize the importance of designing treatment programs that not only focus on the addiction itself but also on the broader life context of the individuals, promoting a more sustainable and supportive recovery process.
From Preschool to Senior High School: Understanding Followership Training Strategies of Teachers
Authors: Bustamante Glein B. , B. Alpuerto Merry Grace , Daitic Kimmer A. , Unay Trisha A. , Fernandez Edroslyn J.
Published: October 2024

This phenomenological study investigated followership training strategies employed by teachers across educational levels from preschool to senior high school. Using in-depth interviews with eight public school teachers in Davao City, the research identified three key themes: using effective teaching strategies, managing the classroom and disciplining students, and overcoming challenges in followership training. Findings revealed that teachers adapt their approaches based on students’ developmental stages, employing strategies such as play-based learning for younger children and more complex, interactive methods for older students. The study highlighted the importance of establishing clear rules, differentiating instruction, and building trust with students. Implications suggest a need for flexible, responsive teaching methods, stronger home-school partnerships, and the integration of technology in followership training. Future research should focus on evaluating long-term impacts of these strategies, exploring their effectiveness in diverse settings, and investigating how emerging technologies can support followership development in educational contexts.
The Effects of Virtual Reality Technology on Visitor Satisfaction in the Theme Park
Authors: Azhar Nurul Hidayah , Fadil Siti Nurrubiatul Qistina , Rosmi Nordini , Sukur Noordiana
Published: October 2024

Virtual reality (VR) has been an innovative concept in theme park attractions. It has revolutionized all facets of the human experience, including entertainment. As virtual reality becomes more popular among theme parks, it is essential to comprehend how user engagement is evolving within these settings. This research aims to gain further insights into VR experiences in theme parks by examining two factors affecting user satisfaction: functional and experiential quality of virtual reality. Data was collected quantitatively from 120 tourists who had used VR technology at the theme park and evaluated using the Statistical Package for Social Sciences (SPSS). The study discovered that both functional and experiential characteristics have an essential influence on visitors’ satisfaction at the theme park.
Atención prenatal en gestantes durante la pandemia COVID-19 en Huancavelica, Perú
Authors: Jorge-Chahuayo Maritza , Vilca-Aponte Elizabeth , Munares-García Oscar
Published: October 2024

Objetivos: Determinar las características de la atención prenatal de las gestantes atendidas en la Micro red Ascensión en el periodo 2019 y 2020. Material y método: observacional, retrospectivo, transversal; la población 619 gestantes, se utilizó datos secundarios registrados en el VEA obstétrico y el CNV. El reporte fue descargado en la planilla Excel, y se analizó mediante estadística descriptiva en el SPSS. Resultados: Características personales; las gestantes en ambos periodos se encuentran en la edad óptima de reproducción, son solteras y convivientes, con nivel educativo secundaria, procedencia Ascensión y la mayoría cuenta con SIS. Características de la APN; en ambos periodos el inicio de la APN fue en el 1er trimestre, más de la mitad tienen más de 6 APN, administración de micronutrientes, ecografías, visitas domiciliarias incompletos en ambos periodos, la batería de laboratorio, la protección inmunitaria, el VIF, el plan de parto fue completos en el periodo antes de la pandemia e incompleto durante la pandemia, el parto fue institucional en ambos periodos en mayor porcentaje. Conclusiones: La atención prenatal es importante a fin de prevenir complicaciones futuras y en tiempos de pandemia, el trabajo integrado se ve afectado.
Desafíos de la lactancia materna en mujeres Haitianas en Chile
Authors: Velásquez-Muñoz Andrea
Published: October 2024

Objetivo: Identificar los conocimientos y prácticas sobre lactancia materna en mujeres haitianas hospitalizadas en el puerperio en el Hospital San Juan De Dios en Santiago, Chile. Material y métodos: Estudio descriptivo transversal con una muestra de 45 puérperas haitianas entre marzo y diciembre de 2019. Los datos se recolectaron mediante un cuestionario estructurado validado por expertos y traducido al creole. Se utilizó estadística descriptiva para analizar los datos. Resultados: El 90% de las mujeres encuestadas posee conocimientos generales sobre la lactancia materna, aunque solo el 30% puede identificar al menos dos beneficios específicos. El 80% considera que la lactancia materna exclusiva debe durar al menos seis meses. La mayoría de las mujeres (60%) opinan que los alimentos complementarios deben introducirse después de los seis meses. No existe asociación entre las variables sociodemográficas y el nivel de conocimiento. Conclusiones: Los hallazgos subrayan la necesidad de programas educativos que aborden las barreras culturales y lingüísticas para mejorar las tasas de lactancia materna en esta población.
CORREÇÃO CIRÚRGICA DO SORRISO GENGIVAL CAUSADO POR ERUPÇÃO PASSIVA ALTERADA E HIPERMOBILIDADE LABIAL: REVISÃO INTEGRATIVA DE LITERATURA
Authors: Moreira Bontempo Nathalia , Moraes Rocha Aletheia , Cristina Borges Daniella , Moura Mendes Eduardo
Published: October 2024

O sorriso harmonioso é fundamental para a estética facial e a autoconfiança, e o sorriso gengival é uma preocupação comum que afeta muitos indivíduos. As principais causas incluem Erupção Passiva Alterada (EPA) e hipermobilidade labial, levando à exposição excessiva da gengiva e causando desconforto estético e psicológico. O objetivo deste trabalho é identificar a técnica cirúrgica mais eficaz para corrigir o sorriso gengival, com foco específico em EPA e hipermobilidade labial. A revisão da literatura foi conduzida utilizando a estratégia PICO, examinando artigos nas bases de dados Portal Regional da BVS e PubMed, de abril a outubro de 2024, em português, inglês e espanhol. Foram incluídos artigos publicados entre 2014 e 2024 e suas referências. Excluíram-se artigos que não abordavam especificamente o tratamento cirúrgico periodontal para sorriso gengival ou que estavam indisponíveis na íntegra. A revisão integrou 24 artigos que discutem técnicas como gengivectomia e retalho posicionado apicalmente, com ou sem remodelação óssea, para tratamento da EPA. Além disso, foram abordadas seis técnicas de reposicionamento labial para corrigir a hipermobilidade labial, além de relatos de casos com etiologias combinadas. Concluindo, o tratamento da EPA deve ser personalizado, com todas as técnicas mostrando eficácia. Para hipermobilidade labial, a miotomia com sutura de poliéster foi eficaz, embora com possíveis complicações. Pacientes com múltiplas etiologias podem precisar de tratamentos combinados para obter resultados estéticos mais duradouros.
Factors Influencing Customers' Online Shopping Behavior in Malaysia During the COVID-19 Pandemic
Authors: Kutty Rahiya Binti Kunji Moidin , Vasudevan Hemaloshinee , Aslan Imran
Published: October 2024

The article presents an overview of the arguments and rebuttals made in the scientific discourse regarding Malaysia's expanding online shopping trend, particularly in light of the COVID-19 epidemic. This scientific decision is significant since the widespread usage of COVID-19 has altered consumer purchasing behavior and how firms operate globally by reducing potential risks such as making the wrong purchase or falling prey to online fraud. This study aims to determine the impact of perceived risk, trust, and product diversity on consumers' decisions to purchase things online in Malaysia's Klang Valley. The study utilized a quantitative survey methodology, selecting 327 sample sizes from a targeted demographic of online shoppers using Krejcie and Morgan tables. SPSS was used for descriptive and inferential analyses. The study found that product variety, trust, and perceived risk significantly predict consumers' online buying behavior in Malaysia during the COVID-19 pandemic. Trust and product variety moderately influence online purchasing, while perceived risk has a negative impact. In contrast to perceived risk (standardized coefficient = -.252), which has a negative and moderate impact, the results indicate that product variety (standardized coefficient =.571) and trust (standardized coefficient =.461) have an average influence on customers' online purchase behaviors. The study supports all hypotheses (H1, H2, and H3), indicating that trust, perceived risk, and product variety significantly influence consumers' online purchasing behaviors in Malaysia during the COVID-19 pandemic. The study emphasizes the need for a comprehensive understanding of online consumer factors and their implications for e-commerce vendors, suggesting the inclusion of marketing professionals in marketing strategy formulation.
 
Received: 25 July 2024 | Revised:  18 September 2024 | Accepted: 8 October 2024
 
Conflicts of Interest 
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.
 
Author Contribution Statement
Rahiya Binti Kunji Moidin Kutty: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing-Original Draft, Funding acquisition. Hemaloshinee Vasudevan: Software, Validation, Formal analysis, Resources, Data curation, Writing-Original Draft, Writing-Review & Editing, Visualization, Supervision, Project administration. Imran Aslan: Validation, Writing-Original Draft, Writing-Review & Editing.