bluuebunny/crossref_metadata_2025 huggingface dataset:
From Margins to Mainstream: Microfinance Strategy and Rural Women’s Economic Advancement in Kasese District’s Kyarumba Sub-County, Uganda
Authors: Mbokani Moses , Nyamboga Tom Ongesa
Published: November 2024

Rural women’s economic empowerment is a crucial element of sustainable development, as it strengthens their ability to support their households and contribute to their communities while advancing gender equality. This study explored the influence of microfinance strategies on fostering economic empowerment among rural women in Kyarumba Sub- County, Kasese District, Uganda. The research drew on Microfinance Theory and employed a quantitative research approach using correlation and survey designs. A sample of 197 respondents was determined from a target population of 390 through Yamane’s formula. Structured questionnaires facilitated the collection of primary data. Stratified random sampling and simple random sampling were used to select the sample. Data analysis involved descriptive statistics to address the research questions, while simple regression, correlation, and multiple regression analysis examined the relationship between the variables. The results revealed a significant positive relationship between microfinance services and rural women’s economic empowerment (t=4.478; p=0.000; p<0.05). The findings affirmed the essential role of microfinance in empowering rural women economically, contributing to gender equity and broader socio-economic progress. The study recommended expanding access to microfinance services as a core strategy to enhance rural women’s economic empowerment and advance gender equity in rural areas. This study provides valuable insights for policymakers, highlighting the importance of prioritizing microfinance services to drive gender equality and improve the socio-economic well-being of rural women.
Audit Committees and Women Leadership: Driving Corporate Social Responsibility in Malaysian Companies
Authors: Ahmed Soekarno Aida Nabilah , Jamaludin Mohd Faizal
Published: November 2024

This study examines the correlation between the characteristics of women directors and audit committees and the disclosure of corporate social responsibility (CSR) by companies listed on Bursa Malaysia. This study provides empirical evidence on the significant influence of women directors and the size and independence of audit committees on CSR disclosure in a sample of 100 publicly listed companies in Malaysia, utilising the agency and legitimacy theory. The organisation can improve the effectiveness of its CSR disclosure by promoting gender diversity in the boardroom and establishing an effective audit committee. In addition, each organisation must establish an audit committee to evaluate the CSR disclosure, assuring that the report is of the highest quality, precise, and reliable. This research suggests that the extent of CSR disclosure is significantly and favourably impacted by the presence of women directors and a larger audit committee size. Nevertheless, the audit committee’s independence does not have a substantial impact. The insights derived from this study are highly beneficial for researchers in related fields and professionals in the industry. Shareholders can examine the company’s corporate social responsibility (CSR) disclosure to arrive at a definitive conclusion.
Strategic Automation for Revenue Collection Efficiency: Insights from Global Tea Factory, Bushenyi District, Uganda
Authors: Mugala Zula , Nyamboga Tom Ongesa , Nyambane David Ongabi
Published: November 2024

Effective revenue collection is a critical success factor in the tea manufacturing industry, where it is inextricably linked to strategic automation initiatives that drive operational efficiency and earnings optimization. The synergistic relationship between revenue collection and automation is pivotal in determining financial performance and profitability, as automated systems enhance accuracy, reduce manual errors, and facilitate real-time financial tracking. The purpose of this study was to establish the influence of technology and automation on revenue collection of Global Tea Factory located in Bushenyi district in Uganda. The study was anchored on transaction theory. The study employed a quantitative research approach and was guided by a correlational research design. The target population for this study consisted of 299 staff from the production company from whom a sample size 171 was obtained using Slovin’s formula. Quantitative data was collected using self-administered questionnaires. Piloting was done to the test the questionnaires for validity and reliability. Collected data was analyzed using both descriptive and inferential statistics with the help of SPSS version 26. The findings from simple linear regression indicate that there was a significant positive relationship between Technology & Automation on Revenue Collection (t=7.800, p=.000, <0.05). The Pearson’s correlation analysis indicated that there is a positive correlation between the technology and automation and revenue collection. (r = 0.515, **p = 0.000, P-value < 0.05). The null hypothesis was rejected and hence alternative hypothesis adopted. The study concluded that technology and automation significantly improve revenue collection efficiency and financial performance in tea manufacturing sector. To improve operational efficiency and financial performance, tea industries are recommended to implement automated inventory management and digital revenue collection solutions. The findings of this study will enable policy makers to develop targeted interventions and incentives to support tea industries in leveraging technology and automation, driving economic development and revenue growth.
Unveiling The Enigma: Women’s Representation in After Dark by Haruki Murakami
Authors: Tasneem Midhat , Dwivedi Laxmi Dhar
Published: November 2024

This paper examines the evolution of societal perceptions and role of women in Japan, particularly in the context of patriarchal ideologies, social and cultural constructs. Drawing on various scholarly perspectives this endeavour explores significant shifts in perceptions and treatment of women in Murakami’s novel After Dark. Through his novel, Murakami aims to explore the male dominance and female resistance in Japanese society, highlighting the ways in which women have been marginalised and relegated as secondary to men due to the ingrained customs. The study also looks at how women respond to these opinions within the family and society. Using literary analysis, this work contributes to a deeper understanding of the ongoing struggle for gender equality and the quest for female authority by encapsulating the complex interplay of historical, societal, and literary dimensions shaping the status and agency of women in Japan. Murakami delineates the intricacies of societal expectations, interpersonal relationships, and individual autonomy by portraying women with multifaceted identities, each navigating their own struggles and aspirations. This study portrays the female confinement in Japanese tradition which took several years to gain recognition but has since become a distinctive metaphor of the evolving literary period.
Trends in Research Studies on Menstrual Distress and Selfefficacy Among Adolescent Girls: A Bibliometric Analysis
Authors: Rajaselvi Jeneefer Jeba , Kumar Navin
Published: November 2024

Menstrual hygiene is a complex issue that requires coordinated efforts at various levels, especially for adolescent girls. However, the lack of basic facilities like sanitary products, water supply, and a safe environment for changing pads limits their options for safe menstrual hygiene. To understand more about menstrual distress and self-efficacy among schoolgoing girls, we analyzed 6,681 publications from the Web of Science (WoS) Core Collection and 4,974 records from 2008 to 2022. The study used CiteSpace 6.1.R6 software for a thorough analysis, including Document Co-citation Analysis (DCA) to identify important studies and research clusters, as well as keyword co-occurrence analysis to reveal emerging trends in the literature. Furthermore, temporal analysis was conducted to examine publication trends over time, showing a notable rise in research output, especially in the past five years. The research on menstrual distress and selfefficacy is primarily focused in countries like the United States, England, China, Australia, and Canada, and institutions like the University of California, University of London, Harvard University, Pennsylvania Commonwealth System of Higher Education, and the University of North Carolina. Keywords like distress, life event, psychopathology, memory, and salivary cortisol indicate emerging trends in this field. The Document Co-citation Analysis (DCA) revealed that the studies on young women in middle-income countries are the predominant cluster in the domain of menstrual distress and self-efficacy. This bibliometric analysis helps identify potential contributors for future research on menstrual distress and hygiene among adolescent girls.
Enhancing Sign Language Recognition: Leveraging EfficientNet-B0 with Transformer-based Decoding
Authors: Singh Rajesh Kumar , Mishra Abhishek Kumar , Mishra Ramapati
Published: November 2024

Sign language recognition (SLR) plays a crucial role in facilitating communication for the hearing-impaired community. Conventional methods for SLR have encountered difficulties in attaining both high precision and efficiency because of the intricate characteristics of sign language motions and the variability in articulation. We propose a novel framework for enhancing SLR by leveraging the efficiency of EfficientNet-B0 as a feature extractor and incorporating a transformer-based decoding mechanism for classification. The objective of our method is to enhance the precision and computational effectiveness of SLR systems, thereby making them more viable for real-world applications. Experimental results on two standard, commonly used sign language datasets: American Sign Language (ASL) and ASL with Digits. The proposed model achieves accuracies of 99.59% on the ASL dataset and an outstanding accuracy of 99.97% on the ASL with Digits dataset, outperforming all other state-of-the-art methods. These results highlight the effectiveness of our framework in accurately recognizing sign language gestures, making it highly suitable for realworld applications. Our study contributes to the advancement of SLR research by introducing a novel methodology that combines the efficiency of EfficientNet-B0 with the expressive capabilities of transformer-based decoding, ultimately improving communication accessibility for individuals who rely on sign language.
Integrating Deep Learning into VLSI Technology: Challenges and Opportunities
Authors: Boopathy E Veera , Sasikala C  , Vigneash L  , Satheesh S  , Gomalavalli R  , Rajeshwaran K
Published: November 2024

This paper conducts a comprehensive review and analysis of the difficulties and possibilities related to integrating deep learning algorithms into the future of VLSI design and technology. The area of integrated circuit design is becoming increasingly complex as transistors become smaller and the expectations for enhanced reliability and environmental sustainability increase. Analysts are looking into novel techniques that involve deep learning, as traditional techniques find it challenging to tackle these issues. In particular, deep neural networks possess the ability to improve various aspects of integrated circuit design, including timing assessment, layout enhancement, fault detection, and energy utilization minimization. Deep learning has become a viable solution for addressing a range of VLSI challenges, providing opportunities for automated processes, enhancement, and creativity at several phases of the development and fabrication cycle. The incorporation of deep learning into system acceleration, identifying defects, layout synthesis, and future repairs is investigated in this article. It also draws attention to the challenges and opportunities associated with incorporating neural networks into VLSI, highlighting the necessity of multidisciplinary cooperation and creativity to realize their maximum potential. By surmounting these challenges and capitalizing on the prospects presented by deep computing, the integrated circuit sector might unleash unprecedented heights of efficiency, productivity, and inventiveness in integrated circuit innovations.
A Randomized Controlled Clinical Study to Evaluate the Effect of Terminalia Arjuna (Add-On Medication) on Cardiac Function in Coronary Artery Disease
Authors: Kuchewar Vaishali , Yadav Pankaj , Yadav Tanika
Published: November 2024

Globally, coronary artery disease (CAD) is the foremost cause of death. Its frequency is also rising rapidly in underdeveloped nations. It remains the leading cause of morbidity and death despite tremendous advancements in diagnostics and intervention. Therefore, an integrated approach is required, along with the search for a drug having cardio protective and rejuvenating property. According to Ayurveda, Terminalia arjuna is a known hridya (Cardio protecting) herb. The purpose of this study was to investigate whether Terminalia arjuna improves cardiac function in CAD patients. This medication was administered as an adjunct to the medications that the cardiologist had prescribed. It is an experimental, parallel group study. Patients with coronary artery disease between the ages of 40 and 70 years were randomly assigned to both groups. In one group, typical conventional care was given, and the second group received Terminalia arjuna stem bark with conventional treatment. The course of treatment was ninety days. It is observed that most of the patients were of kapha-pittaj or pitta-kaphaj prakriti (specific body constitution). There were no significant changes in blood pressure and pulse rate and significant improvement in 6-minute walk test, ejection fraction, total cholesterol and triglycerides in comparison with standard group. From the observation, it can be concluded that Terminalia arjuna helps in improving cardiac function in patients of coronary artery disease.
Tree Dielectric Response as an Earthquake Forecasting
Authors: Katta Vijay Subhash , Shrivastava Gourav , Kushwah Vinod Kumar
Published: November 2024

Seismic precursor identification is vital in the Himalayan range and near active fault lines to offer early earthquake warnings, as India and nearby areas face a high risk of seismic activity. This laboratory-based research conducted simulations aimed at replicating electromagnetic signals generated by artificial seismic events spanning frequencies from 1 Hz to 59 Hz. High-frequency seismic signal attenuation upon interaction with the Earth's surface was observed, focusing on emulating electromagnetic waves within the ultra-low frequency (ULF) to very high frequency (VHF) range and investigating energy transfer dynamics within conductive materials. Findings included a reduction in green stem ring diameter, an inversely correlated penetration depth with frequency, and fluctuations in the dielectric constant of tree tissues, linked to water molecule polarization with frequency changes. By applying an electric field, lower dielectric constants were observed at lower frequencies, stabilizing at around 40 eV as frequency increased from 1 Hz to 59 Hz. As frequency levels escalated, especially transitioning into the radio or microwave spectrum, alterations in the dielectric constant of tree tissues were noted, often marked by an increase in dielectric loss, signifying heightened absorption of electromagnetic energy and its conversion into heat. Banyan tree roots exhibited responses well in advance of any discernible alterations in the subsurface environment, offering valuable early indicators of impending seismic activity. This discovery encourages further exploration and holds the potential to advance earthquake prediction using deep-rooted trees as biosensors, ultimately contributing significantly to the preservation of human lives and overall safety.
APOIO DA SOCIEDADE CIVIL NA GESTÃO DE UNIDADES DE CONSERVAÇÃO:
Authors: Napolitano Leal Francisco , Guedes Fernandes Neto José
Published: November 2024

Este artigo apresenta a contribuição da sociedade civil na gestão das unidades de conservação (UCs) da Serra do Itapetinga de Atibaia (SP), em especial na preparação de um plano de negócios (PN) para suas áreas de uso público. Esse PN tem sua metodologia descrita e os principais resultados apresentados, demonstrando a viabilidade de aprimoramento da gestão operacional das UCs por meio da arrecadação de recursos via pagamento de ingressos, cujo público visitante era majoritariamente (72%) favorável à época de elaboração do Plano, em 2021. São formuladas sugestões de arranjo de governança participativa e critérios de precificação que valorizam a população local e os praticantes de esporte, culminando na discussão de oportunidades e adversidades à gestão das UCs em tela, sobretudo no contexto da necessidade urgente de regularização fundiária e envolvimento das comunidades locais na tomada de decisão da gestão. Em uma perspectiva mais ampla de conservação colaborativa, o artigo evidencia a importância da incorporação da análise de viabilidade econômica nas parcerias com organizações da sociedade civil (OSCs), de forma a fortalecer seus projetos nas áreas protegidas em um horizonte de longo prazo.
EDUCAÇÃO AMBIENTAL EM TRILHAS INTERPRETATIVAS:
Authors: Liberato da Silva Amanda Cristina , Dos Santos Cerqueira Beatriz , Silva Rosa Matheus , Machado Macedo Nacif Maria Eduarda , Dos Santos Campos Calabrot Gabriel , Paiva e Silva Rafael , Alan Dias da Costa Pedro , Machado Duarte Danielle , De Souza Pimentel Douglas
Published: November 2024

Práticas educativas em ambientes não formais de ensino são importantes para as escolas e para as unidades de conservação (UC). No entanto, apesar do crescente interesse pela visitação da natureza e apreciação de paisagens naturais, muitos visitantes desconhecem o ambiente em que estão inseridos, não aprendem com a visita, não se preocupam com os destinos ambientais locais e podem contribuir para a degradação destas áreas protegidas. Nesse contexto, as trilhas interpretativas (TI) emergem como um instrumento eficaz para fomentar a educação ambiental e a interpretação ambiental, restabelecendo a conexão e sensibilizando as pessoas para a conservação da natureza. O objetivo do artigo é apresentar diferentes trilhas interpretativas desenvolvidas em UC da região metropolitana do estado do Rio de Janeiro. A metodologia utilizada para o desenvolvimento das trilhas interpretativas é uma adaptação dos indicadores de atratividade de pontos interpretativos (IAPI). As trilhas foram elaboradas no âmbito do projeto Prodocência, do Grupo de Estudos Interdisciplinares do Ambiente (GEIA) da Faculdade de Formação de Professores (FFP) da Universidade do Estado do Rio de Janeiro (UERJ). Os resultados obtidos neste estudo apontam para a necessidade de ampliar a pesquisa e o desenvolvimento de novas TI, buscando atender às demandas específicas de cada UC e dos diferentes públicos. Além disso, a integração entre a universidade, as escolas, as comunidades locais e os gestores das UC é fundamental para o sucesso das iniciativas de educação ambiental baseadas em trilhas interpretativas.
Importance of CBCT diagnostics in dental implantology
Authors: Repeša-Komarica Merisa , Ćosović Selma , Alić-Drina Selma
Published: November 2024

ABSTRACT
In today's world, the aesthetic demands of patients in dentistry are very high, followed by functional requirements. CBCT diagnostics facilitate the achievement of these goals. Modern dentistry involves replacing missing teeth with dental implants. In dental implantology, precise imaging techniques are essential to accurately capture the area where implants will be placed, in order to avoid damaging adjacent vital structures during surgery. Today, radiological analysis of CBCT scans is considered the best method of choice, or the gold standard, in the pre-implantation procedure.
On CBCT scans, we can visualize the height, width, and density of the available bone for implant placement, the precise location of the maxillary sinus, mandibular canal, mental foramen, incisive canal, and diagnose certain present pathological changes.
Tree Trimming Effects on 3-Dimensional Crown Structure and Tree Biomechanics: A Pilot Project
Authors: Cranmer Nicholas , Fahey Robert T. , Worthley Thomas , Witharana Chandi , Alveshere Brandon , Bunce Amanda
Published: November 2024

Background

Along electric distribution corridors in urban-exurban landscapes, forest edges are susceptible to damage associated with storm events. Disturbances and management interventions designed to preempt their effects (e.g., tree trimming) alter characteristics of tree structure and morphology (e.g., branch and crown structure), which may be associated with tree failure and likelihood of associated infrastructure damage. This study assessed the relationship between 3-dimensional tree crown structure and tree biomechanics and characterized the effect of utility tree trimming on tree sway dynamics using terrestrial laser scanning (TLS).

Methods

In this study we extracted and analyzed measures of crown structure (i.e., crown asymmetry, crown area, total volume, crown diameter to height ratio, and crown evenness) for individual trees during leaf-off conditions before and after implementation of tree trimming and linked these measures to tree biomechanics data, to evaluate how commonly implemented trimming practices affect both tree sway frequency and displacement—important indicators of tree stability.

Results

Results illustrated the effects of common tree trimming practices on tree crown structure, but there were not consistent changes to tree movement characteristics directly following tree trimming across our 24 study trees. However, we found that the associated changes in crown structure through tree trimming affected tree displacement in moderate wind conditions. Additionally, we found there were no significant differences between frequencies across treatment types.

Conclusions

This pilot project lays the foundation for understanding the intricate relationship between 3-dimensional crown structure and tree biomechanics following roadside tree trimming.
DriveMate - Vehicle Breakdown Assistance using Mobile Application
Authors: Nair Jayeshkumar Jayakumar  , Lande Suraj Balasaheb  , Elbhar Prajwal Santosh  , Prof. Gage P. K.
Published: November 2024

The increasing need for on-demand vehicle breakdown assistance calls for a system that connects stranded drivers with nearby mechanics through a seamless mobile interface. This paper presents a survey of existing technologies, applications, and algorithms that aid in the development of a real-time mechanic dispatch platform. The app allows for mechanic registration, user-mechanic connectivity based on GPS location, and ratings to enhance service reliability. This survey highlights methods for implementing proximity-based assistance, secure admin control for mechanic vetting, and efficient user-to-mechanic communication
Digital Health Record System Using Fingerprint Authentication
Authors: Anita Shinkar  , Yash Dhumal  , Mayur Shinde  , Vaishnavi Tandale  , Swarupa Shinde
Published: November 2024

This paper discusses the development and implementation of a Digital Health Record System (DHRS) that will use fingerprint biometric authentication to provide secured access to health records. Here, the objective remains the same as was mentioned earlier, to enable doctors to access information about patients in an expeditious manner, especially in the event of emergencies such as accidents. The research leads to the conclusion that the system does value the importance of improvement of health and patient care.
Machine Learning in Health Anylitics and Patient Monitoring
Solomon Kavuta and Mr Joel Mulepa
Dmi St John The Baptist University, Lilongwe, Malawi
Authors: Solomon Kavuta  , Mr Joel Mulepa
Published: November 2024

The integration of machine learning techniques in healthcare has revolutionized the way predictive analytics and patient monitoring are conducted. This transformation is reshaping traditional healthcare practices by harnessing the power of advanced computational methods to analyze vast amounts of patient data. Machine learning algorithms, which excel at detecting patterns and making predictions, leverage this data to forecast disease onset, progression, and treatment outcomes. This capability enables healthcare providers to adopt proactive measures, facilitating early intervention and the development of personalized treatment plans tailored to individual patients' needs. The potential of machine learning in healthcare is vast and multifaceted. By continuously analyzing real-time patient data streams from various sources such as electronic health records (EHRs), medical imaging, genomic information, and data from wearable devices, these algorithms can identify subtle changes in a patient's condition that may indicate the early stages of a disease or the risk of an adverse event. This continuous monitoring allows for timely interventions that can prevent complications, reduce the severity of diseases, and improve overall patient outcomes. For example, machine learning can help predict the likelihood of a patient developing conditions like diabetes or heart disease, allowing for lifestyle changes and medical interventions that can mitigate these risks before they become severe health issues. Moreover, machine learning facilitates remote patient monitoring, which has become increasingly important in the context of modern healthcare. With the advent of wearable devices and Internet of Things (IoT) sensors, it is now possible to collect and analyze health data outside of traditional clinical settings. These technologies enable healthcare providers to monitor patients in real-time, regardless of their location, ensuring continuous care and oversight. This is particularly beneficial for managing chronic diseases, where regular monitoring can significantly improve patient management and outcomes. For instance, remote monitoring of patients with heart conditions can detect early signs of arrhythmias or other issues, prompting immediate medical responses that can prevent more serious complications. The transformative impact of machine learning on healthcare delivery extends beyond patient monitoring and predictive analytics. It also includes enhancing diagnostic accuracy, optimizing treatment protocols, and streamlining administrative processes. By reducing the need for frequent hospital visits and enabling more efficient use of healthcare resources, machine learning can help lower healthcare costs while improving the quality of care provided to patients. Additionally, the ability to analyze large datasets quickly and accurately can aid in medical research, uncovering new insights into disease mechanisms and potential treatments.
College Campus Tour using AR/VR
Authors: Yukta Badgujar  , Shruti Pardeshi  , Abhishek Kendre  , Aditya Khairnar  , Prof. S. G. Chordiya
Published: November 2024

This project focuses on developing an immersive 360° virtual campus tour using augmented and virtual reality (AR/VR) technologies to enhance accessibility and engagement for prospective students, alumni, and visitors. Integrated into the college's official website, this virtual tour enables users to explore key campus locations, view event-based images and information by selecting specific dates, and experience campus life from a remote setting. By leveraging high-definition 360° video and interactive elements, the project addresses challenges in accessibility, engagement, and marketing faced by traditional static campus presentations. The system architecture includes modules for video capture, interactive feature integration, and seamless website embedding, utilizing advanced technologies like WebGL, A-Frame, and machine learning algorithms for content retrieval and event-based data integration. The project aims to increase the institution's digital presence and support recruitment and alumni engagement
Vision Aid: Developing An Assistive Mobile Application for Visually Impaired Indivuals
Authors: Lauren Chimwaza  , Pempho Jimu
Published: November 2024

Vision Aid is a cutting edge smartphone software that combines several assistive technologies into a unified platform to help visually impaired individuals. Integrating Computer Vision algorithms this project makes use of Bing Maps API for Step by Step navigation, Tesseract OCR for text recognition, YOLO (You Only Look Once) for real time object detection and CLIP (Contrastive Language-Image Pre training) for scene description.
It offers voice commands, audio feedback for a more improved day to day life hence improving self-confidence while empowering independence to the users. This journal provides a thorough description of Vision Aid the development process, methodology, evaluation results and shows the potential for future improvements with a goal to advance mobile accessibility for visually impaired individuals
Dengue Prediction using Short-Term Memory
Authors: Prof. Kurhe. P. V  , Mayuri Somase
Published: November 2024

Dengue is a severe infectious disease on the rise in Malaysia, and there is a demand for artificial intelligence to support the health system. However, the application of deep learning, specifically Long Short-Term Memory (LSTM) time series forecasting, has not been explored by many in dengue prediction studies. However, considering the availability of daily weather data being collected, the ability of LSTM to capture long term dependencies can be leveraged in forecasting dengue cases. Therefore, this study investigates the performance and viability of LSTM time series forecasting on predicting dengue cases. An LSTM model is developed and evaluated to be compared to a Support Vector Regression (SVR) model by utilising the availability of a dengue dataset consisting of weather and climate data. The results indicated LSTM time series forecasting performed better than SVR, with R2 and MAE scoring 0.75 and 8.76. In short, LSTM has shown better performance and, in addition, capturing trends in the rise and fall of dengue cases. Altogether, this research could contribute to the fight against the increase of dengue cases without relying on forecasted weather data but instead, history.
Formulation and Evolution of Herbal Shampoo
Authors: Miss. Geeta Madhukar Abuj  , Miss. Pallavi Ramkisan Gat  , Miss. Pallavi Dadasaheb More  , Dr. L. D. Hingane
Published: November 2024

Shampoos are one of the cosmetic products used in daily life. Synthetic preservatives and detergents have sometimes been the cause of adverse effects among consumers. A more radical approach in reducing the synthetic ingredients is by incorporating natural extract whose functionality is comparable with their synthetic ingredients.this herbal shampoo was formulated using natural ingredient like Fenugreek seeds), Acacia concinna (shikakai), Sapindus mukorossi (reetha), Ocimum sanctum (tulsi), Aloe vera (aloe), Hibiscus rosa sinensis (china rose), Azadirachta indica (Neem), Lawsonia inermis (henna),Citrus lemon (lemon), with proven efficacy of hair care preparation is prepared. The combination of several such ingredient of herbal origin has made it possible to secure highly effective dry powder shampoo. The formulation at laboratory scale was done and evaluated for number of parameters to ensure its safety and efficacy.The main obeject of this present study is to prepare and evaluate an herbal shampoo and determine physiochemical function that emphasizes on safety.which is use to remove grease, dirt, dandruff..
Che cos’è il Karma. Aspetti scientifici di un fenomeno Spirituale. Come il Metodo Cosmo può ridurne la presenza nella propria vita
Authors: Fabbroni Roberto , Columbano Teresa
Published: November 2024

Scopo di questo articolo è inquadrare quel meccanismo complesso della vita che spesso ci ripropone situazioni simili già vissute cercando di trovare dei meccanismi psicologici, biofisici e connessioni Spirituali che possano dare un senso, una possibile spiegazione a tali fenomeni. In questo contesto sarà anche illustrato che cos’è il Karma familiare, e quale relazione abbia con l’Epigenetica. Vedremo inoltre come il Percorso di crescita personale e Spirituale e le tecniche Energetico-Meditative del Metodo Cosmo siano funzionali per riallineare la nostra personalità al corretto percorso evolutivo, in una Visione Sistemica in cui corpo, mente ed Anima sono correlati, riducendo sempre più l’esperienza karmica.
Fashion City
Authors: Bide Bethan , Whitmore Lucie
Published: November 2024

Discover the extraordinary stories of the Jewish people who designed, made and sold fashion in twentieth-century London, revealing their vital role in making it an iconic fashion city.

While Jewish people have long been associated with making clothes, the full extent of the contributions they made to London's growing reputation as a global fashion capital and the democratisation of fashion through the development of ready-to-wear clothes in the twentieth century have been widely forgotten. Spanning all sectors of the fashion industry – from homeworking to haute couture – the book draws stories from generations of Jewish Londoners and is richly illustrated with images from across the city and the Museum of London's collections.

Fashion City takes you on a journey across London, from the busy clothing factories of the East End to the swinging boutiques of Carnaby Street and the manicured squares of Mayfair. Along the way it introduces you to the intriguing stories of the key figures behind London fashion, such as Frederick Starke, a boy from the East End whose ability to tell a creative story changed the way the world saw British ready-to-wear fashion; Otto Lucas, a gay Jewish German hat maker who became the most financially successful milliner in the world; Mr Fish, the rule-defying tailor who dressed Mick Jagger and Muhammed Ali; and Netty Spiegel, who escaped the Nazis on the Kindertransport and became a London wedding dress designer of choice under her 'Neymar' label.

Bringing together a wealth of new research and presenting a novel perspective of London fashion, this book gives a voice to the city's overlooked and often forgotten Jewish fashion makers.
EXPLORING THE IMPACT OF USING WEBLOG AS A TOOL TO ENHANCE SECONDARY SCHOOL STUDENTS’ WRITING PROFICIENCY IN MALAYSIA
Authors: Arsat Noraslynaz Natasha , Wirawati Ngui
Published: November 2024

The purpose of this research is to evaluate the effectiveness of weblogs in teaching English writing skills to the secondary school students in Malaysia and to determine the students’ attitude towards the use of weblog in improving their writing abilities. In this study, the researcher interviewed nine Form 2 students who were selected at random and through face-to-face interviews the researcher asked them about their perceptions on the topic. The findings suggest that the use of weblogs enhances students’ writing skills and achieve higher results in grammar, writing structure and the use of the appropriate vocabulary. Students admitted they benefited from the feedback given through weblogs as it assisted them in enhancing their writing and also creativity with a view of writing more. Application of weblog in learning was effective and the feedback and interaction significantly helped in learning. Based on the study, it is possible to use weblogs in teaching English language with a focus on writing with proper support and supervision from the teachers. More studies should be conducted to establish weblog use in education in the long-run.
THE IMPACT OF INSTAGRAM-BASED E-PORTFOLIO ON STUDENTS’ MOTIVATION IN WRITING
Authors: Salman Nurul Izzah Syazwani
Published: November 2024

This study aims to investigate the impact of utilizing Instagram as a platform for creating and sharing e-portfolio on students’ motivation in the context of writing. As the digital landscape continues to advance, teachers seek innovative approaches to engage students in English classroom and enhance their language skills. Instagram, a popular social media platform known for its visual-centric nature, serves as a unique medium for showcasing and sharing individual work. The research employs a qualitative research design, combining multi-method approach, incorporating open-ended questionnaire, classroom observation, content analysis of students' e-portfolios and students’ reflection essays, to assess the motivational effects of Instagram-based e-portfolios on students. The participants of this study include a sample of students in SM St. Peter Telipok, Kota Kinabalu, Sabah. The study explores the impact of visual and interactive elements on students' motivation, self-efficacy, and overall writing performance. This study seeks to enrich and add to the existing literature on progressive teaching methods by shedding light on the motivational factors linked to the integration of Instagram-based e-portfolios. Ultimately, understanding the impact of such platforms on students' motivation in writing can inform educators and curriculum developers in designing effective and engaging strategies for enhancing writing skills in the digital age.
EXPLORING YOUTUBE'S ROLE IN SHAPING PUBLIC PERCEPTION AND UNDERSTANDING OF THE ISRAEL-PALESTINE CONFLICT
Authors: Lee Bih Ni
Published: November 2024

This study aims to explore YouTube's role in shaping public perception and understanding of the Israel-Palestine conflict. Drawing on literature that examines media influence, digital communication, and conflict narratives, the research synthesizes insights from various sources to assess how YouTube impacts viewers' opinions and knowledge. The analysis reveals that YouTube democratizes information dissemination, providing a platform for diverse voices, including official media, grassroots organizations, and independent creators. This multiplicity of perspectives contributes to a nuanced understanding of the conflict, highlighting personal stories, political contexts, and power dynamics. However, findings also indicate that YouTube can amplify polarization by creating echo chambers and spreading misinformation. Ultimately, YouTube serves as a double-edged sword, capable of both educating the public and perpetuating biases, making its role in the Israel-Palestine conflict both influential and complex.
EFFECTS OF USING DIGITAL VOCABULARY JOURNAL IN MUET WRITING PERFORMANCE AMONG PRE-UNIVERSITY STUDENTS: AN ACTION RESEARCH
Authors: Ting Pick Dew Elaine
Published: November 2024

In learning English as a second language, the importance of vocabulary competency has long been recognized for its significance. An area where vocabulary knowledge has demonstrated significant promise is in the realm of writing as the breadth and depth of students’ vocabulary are reflected in the general quality of their writing. Hence, the introduction of vocabulary journal is essential as it has been used to create interactive and immersive learning experiences that help learners acquire and retain new words more effectively. This classroom-based action research investigated the impacts of keeping digital vocabulary journal towards writing performance of ten pre-university students in a pre-university center in Sabah. It sought to to find out whether there is any difference in the students’ writing scores prior to and after keeping vocabulary journal as well as to assess the students' attitudes toward maintaining a digital vocabulary journal. This action research used a mixed-method approach. Pre-test and post-test writing scores comprised the study's quantitative component, while the qualitative approach used semi-structured interviews and product analysis. The results indicated significant difference with large effect size and positive students’ attitudes towards digital vocabulary journal. As a result, the assertions regarding the advantages of digital vocabulary journals were empirically supported by this action research study. By engaging in this type of research, teachers can gain valuable insights into how to optimize their use of digital vocabulary journal in the classroom, and ultimately improve the effectiveness of their teaching practice.
Plant Hormones and Growth Regulators: Mechanisms, Interactions, and Agricultural Applications
Authors:   Department of Vegetable Science , Faculty of Horticulture,BCKV, P.O. Krishi Viwavidyalaya , Mohanpur , Nadia 741252 West Bengal, India, Thapa Umesh , Ansari Zuby Gohar ,   Assistant professor (contractual teacher) B.M. College of agriculture, Khandwa, M.P., India, Ramesh S. ,   Department of Agronomy, FACULTY OF AGRICULTURE, Annamlai University, Annamlai Nagar Tamilnadu, India, Anbalagan Krishnaveni ,   Department of Environmental Science, Horticulture College and Research Institute, TNAU, paiyur 635 112, Krishnagiri District, Tamil Nadu, India, Rabi Ayesha ,   Department of Botany, Anwarul Uloom College (Autonomous), New Mallepally, Hyderabad, TS, India
Published: November 2024

Naturally occurring substances called plant hormones are essential for controlling the growth and development of plants. They coordinate several physiological processes inside the plant by acting as chemical messengers. To control their growth and reactions to their surroundings, plants have their own unique set of hormones. Plant hormones come in various forms, such as Ethylene, gibberellins, auxins, cytokinins, and abscisic acid. Every hormone affects plant development differently. For instance, cytokinins stimulate cell division and encourage shoots’ growth, whereas auxins encourage cell elongation and root formation. Abscisic acid aids in seed dormancy and stress responses, gibberellins control stem elongation and blooming, and Ethylene is involved in fruit ripening and senescence. These hormones form a complicated network that influences one another’s behaviour and reacts to different environmental inputs. Plant growth regulators (PGRs) are used to change a plant’s development in various ways, including promoting branching, decreasing shoot growth, increasing return bloom, eliminating extra fruit, or changing the maturity of the fruit. PGR performance is influenced by a wide range of parameters, such as the degree to which the plant absorbs the chemical, the age and vigour of the tree, the dosage, the timing, the cultivar, and the weather before, during, and after application. Farmers and scientists may control plant growth and development to increase crop production, improve fruit quality, and strengthen resistance to stressors by knowing the functions and interactions of these hormones. Plants control several aspects of the hormone response system, such as biosynthesis, metabolism, sensing, and signalling. Furthermore, plants have the rare capacity to regulate the dispersion of hormones in space.
Radyasyon Fiziği ve Tedavi Planlama
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Radyasyon Onkolojisi Ana Bilim Dalı, İstanbul, Türkiye, Kısınma Azaklıoğlu Deniz , Çavdar Karaçam Songül ,   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Hizmetleri Meslek Yüksekokulu, Tıbbi Hizmetler ve Teknikler Bölümü, Radyoterapi Programı, İstanbul, Türkiye
Published: November 2024

Bu bölümde radyasyon hakkında genel bilgilendirme yapılarak radyasyon fiziği terimleri hakkında bilgi verilecektir. Ayrıca radyoterapide tedavi planlama ile ilgili bilgilendirme yapılacaktır
Brakiterapi
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Hizmetleri Meslek Yüksekokulu, Tıbbi Hizmetler ve Teknikler Bölümü, Radyoterapi Programı, İstanbul, Türkiye, Çavdar Karaçam Songül
Published: November 2024

Brakiterapi, kanser tedavisinde kullanılan bir radyoterapi yöntemidir. Radyoaktif kaynaklar doğrudan tümör içine veya yakınına yerleştirilir. Bu sayede, tümöre yüksek dozda radyasyon verilirken çevre dokulara zarar verme riski azalır. Bu bölümde brakiterapi hakkında bilgi verilmektedir.
Prostat Kanseri
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı, İstanbul, Türkiye, Yıldırım Halil Cumhur , Öner Dinçbaş Hidayet Fazilet ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı, İstanbul, Türkiye
Published: November 2024

Prostat kanseri erkeklerde en sık görülen malignitedir. Yavaş seyirlidir. Ana tedavisi prostatektomi ya da radyoterapidir. İlerlemiş olgularda androjen deprivasyon tedavisi de uygulanabilmektedir.
Nöroblastom
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye, Ergen Şefika Arzu , Şahinler İsmet ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye
Published: November 2024

Nöroblastom, sempatik sinir sisteminin primitif hücrelerinden köken alır. Çocuklardaki en sık ekstrakranial solid tümördür. Daha çok infantlarda görülür ve ortanca görülme yaşı yaklaşık 19 aydır. Klinik ve biyolojik özelliklerine göre oldukça heterojen bir yapıdadır. Hastalar evre, yaş, histopatoloji, MYCN amplifikasyonu, DNA ploidisi gibi faktörlere bakılarak düşük, orta, yüksek riskli olarak 3 gruba ayrılır ve tedavi kararı buna göre verilir. Bölgesel hastalıkta ve iyi biyolojik özellikler varlığında sadece cerrahi yeterli iken orta risk grubunda cerrahi ve sonrasında KT, yüksek risk grubunda agresif multimodal yoğun tedaviler önerilir.
Rabdomyosarkom
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye, Ergen Şefika Arzu , Şahinler İsmet ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye
Published: November 2024

Rabdomyosarkom çocuklarda en sık görülen yumuşak doku sarkomudur. Olguların çoğu sporadiktir. Vücudun herhangi bir bölgesinden çıkabilir. En sık baş-boyun bölgesi yerleşimlidir. Ortanca görülme yaşı 5’tir ve %70’i ise 10 yaş altındadır. Tedavi risk gruplamasına göre yapılır. Cerrahi yapılabilen olgularda ilk seçenektir, yapılamayan olgularda öncelikli olarak kemoterapi + radyoterapi tercih edilir. Sonra cerrahi rezeksiyon için tekrar değerlendirilir
Lenfoma
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye, Yıldırım Halil Cumhur , Çolpan Öksüz Didem ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi Radyasyon Onkolojisi Ana Bilim Dalı İstanbul, Türkiye
Published: November 2024

Lenfoma lenfatik sistemin bir malignitesidir. Hodgkin ve non-Hodgkin olmak üzere iki ana bölümde incelenir. Bu bölümde tanı, tedavi yöntemleri ve radyoterapi teknikleri hakkında ayrıntılı bilgi verilecektir.
Ahşap: Doğal ve Yenilenebilir Mühendislik Malzemesi
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Orman Fakültesi, Orman Endüstri Mühendisliği, Orman Biyolojisi ve Odun Koruma Teknolojisi Ana Bilim Dalı, İstanbul, Türkiye, Engür Muvaffak Osman , Akbulut Turgay ,   İstanbul Üniversitesi-Cerrahpaşa, Orman Fakültesi, Orman Endüstri Mühendisliği, Odun Mekaniği ve Teknolojisi Ana Bilim Dalı, İstanbul, Türkiye, Dündar Türker ,   İstanbul Üniversitesi-Cerrahpaşa, Orman Fakültesi, Orman Endüstri Mühendisliği, Odun Mekaniği ve Teknolojisi Ana Bilim Dalı, İstanbul, Türkiye
Published: November 2024

Çevre duyarlılığı, sürdürülebilirlik prensibi, geri dönüşüm, depreme dayanıklılık, enerji tüketimi, karbon tutma gibi konuların büyük önem arz ettiği günümüz dünyasında ahşabın değeri daha iyi anlaşılmaya başlandı. Günümüzde ahşap gerek masif olarak gerekse mekanik, kimyasal ve biyolojik yöntemlerle işlenmek suretiyle binlerce ürünün elde edilmesinde kullanılmaktadır. Hemen hemen her bölgede bulunması, kullanım çeşitliliği, kolay işlenebilmesi, estetik ve yenilenebilir olması, ahşabın kıymetli bir malzeme olarak kabul görmesini devam ettirmektedir.