bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and Support Mechanisms for Nurse Educators during Transition from Clinical Nursing to Nurse Educator: A Commentary on Role Transformation
Authors: Yasmin Tahira , Kausar Taleem
Published: April 2024

Nursing is an intricate profession and qualified nurse educators who possess sound theoretical, clinical and evidence-based knowledge is important for ultimately delivering the knowledge and skills to the students and producing the competent nurses. By providing effective nursing care the best patient care outcome can be achieved [1]. Undoubtedly, the role played by nursing instructors is considered significant to bridge the theory practice gap and to impart the new learning into the future nurses. Moreover, the shortage of nursing faculty is a risk to the quality of education, bearing implications for health sector. This issue hinders the smooth transition of clinical nurses to nurse educators as they need to adopt continuously fresh knowledge, revisit curriculum, student-cantered learning approaches [2]. Their ability to understand and address these challenges is important, and a complete understanding of these issues which they face during the transition phase may be supportive in boosting their classroom teaching abilities [3].  Failure in meeting with the requisite capabilities that is essential in imparting compassionate, evidence-based care lead to sense of disorientation and have the impact on overall satisfaction level of their duties [4].
Association between Parenting Style and Language Development in Children
Authors: Sadiq Sumaira , Farooq Naima , Mansoor Rabia , Shoukat Saadia , Saqulain Ghulam
Published: April 2024

Parenting style plays important role in the development of the children from birth to five years of age including language development as well.  Hence, parents can play important role in the development of their children because their quality of time matters. Objective: To determine the association between parenting style and language development and to identify the type of parenting style mostly use by the parents. Methods: This cross-sectional study, with a sample of n=384 parents, was conducted at Riphah International University, Islamabad from 1st August, 2022 to 31st January, 2023. Parents of typical children of both genders, aged birth to 36 months were included. Basic demographical sheet, Parenting style questionnaire and Receptive Expressive Emergent Language (REEL)3rd edition were used for data collection. SPSS version 21.0 was used for data analysis. Point-Biserial Correlation was used to determine correlation between the parenting style and language development and p<0.05 was considered significant. Results: Results indicate significant (p<0.001) relationship between parenting style and language development of children. The correlation of parenting style was low with receptive language but high with expressive language. The results also indicate that parents used different parenting styles with majority 225(58.6%) using authoritative parenting style and least 12(3.1%) used permissive parenting style. Conclusions: Study concludes that parenting styles have great impact on language development of children. Different types of parenting style are being used among which authoritative parenting style is the most and permissive being the least common.
A Study on Characteristics of City Identity Represented by City Series Campaign of Absolut Vodca
Authors:   Korea Society of Public Design, Shin Jin-Ok
Published: April 2024

In the era of city competition, value and role of visualized city identity is getting bigger. The study aims to methods for building and visualizing city identities through city series advertisement campaign by Sweden Absolut bodka brand to make premium image. The study is done by literature research and case study. Absolut releases creative advertisements to break up Russian low-graded image of bodka for penetration toward US market. City series ads of Absolut combining unique bottle shape and symbolic images of cities help to build premium brand image and penetrate global market. Images of cities represented on ads can be categorized as landmark. symbolic objects, historical events, representative artists, city culture, national objects, While ads using concrete objects such as architecture and product can be understood easily, ads using history and culture require higher leveled visual metaphor. Absolut ads show the diversity of city identies and importance of visual communication using creative expression. In order to build city identities effectively, collaboration with consumer brand and creative expression are required.
(Re-)centering Law in the Criminology of Sentencing & Punishment
Authors:   University of California, Irvine, Lynch Mona
Published: April 2024

The article argues for a more robust incorporation of law in the criminological study of sentencing and punishment.
Analysis on the Income Risk and Income Insurance Ricing of Planting Farmers in North China
Authors: Tao Cun-wen , Li Pei-huan , Su Xiao , Pu Cheng-yi
Published: April 2024

The frequent occurrence of extreme weather disasters under global climate change has greatly impacted agricultural production, caused crop yield and price fluctuations, affected the increase of farmers' income, and hindered the development of the rural economy. As a typical mountainous region in North China, Shandong Province is a major peanut-planting province. In recent years, the peanut planting area in Shandong Province has remained relatively stable at around 10 million hectares (approximately 6.67 million hectares), accounting for approximately 14% of the national peanut planting area. Affected by meteorological disaster risks and consequent price risks, peanut farmers in Shandong Province are faced with double threats of output and price. This study is aiming to analyze the income risks faced by peanut planting farmers in the northern regions of China and to develop a comprehensive understanding of the factors influencing their income variability. The study may investigate various aspects especially the market price fluctuations, socioeconomic factors affecting peanut farming and the correlation of the peanut pricing and the local insurance. The current policy-based peanut insurance makes it difficult to fully disperse risks and guarantee stable production with the permission of relevant government department. Therefore, based on the peanut yield and price data of Shandong Province from 1991 to 2017 and following the logical context of "meteorological disaster - yield risk - price risk - income loss - income insurance", this paper uses the Copula method to calculate the premium rate of peanut income insurance and finds that under the guaranteed level of 70%-90%, the pure premium rate is between 1.5%-4.15%. Compared with the current cost insurance with a flat rate of 4% in Shandong Province, the income insurance rate is generally lower than the current rate. Secondly, there are regional differences in income insurance rates. In addition, at a higher level of protection, the income insurance rate is higher.
The effects of pH on the morphology and structural properties of Er/Yb co-doped hydroxyapatite
Authors: Mohammed Bast Ahmed , Ateş Tankut , Mahmood Bahroz Kareem , Obaıd Kareem Rebaz , Keser Serhat , Bulut Niyazi , Kaygılı Omer
Published: April 2024

The present study includes a detailed investigation of the effects of various pH conditions used in the synthesis on the structural properties of hydroxyapatite (HAp) co-doped with Er and Yb at a constant value. In this context, we changed the pH value from 8.5 to 11.0 with the steps of 0.5 in the synthesis. It was seen that the different pH causes significant variations in the crystallite size, lattice parameters, unit cell volume, and morphology. The pH value plays a key role in the synthesis of Er/Yb co-doped HAps.
Analysis of the effect of climate-smart agricultural practices (CSAPs) on food security of maize production in Southeast, Nigeria
Authors: Chukwujekwu Obianefo Aloysius , Chinwe Isibor Annunciata , Ejike Umebali Emmanuel , Obinna Efobi Christian
Published: April 2024

This study examines the effect of Climate-Smart Agricultural Practices (CSAPs) on the food security dimensions of availability, accessibility, affordability, stability, and usability of maize production in Southeast Nigeria. A multi-stage random sampling method was adopted to select 375 farmers. Censored and OLS regression analyses were conducted using R software to analyze the data. Results indicate that certain CSAPs significantly influence the availability and accessibility dimensions of food security. Water management, residue management, mulching, crop rotation, adopting early planting, and obtaining credit were associated with higher levels of availability and accessibility, while practices like minimum tillage and improving access to information were associated with lower levels. Practices such as water management, minimum tillage, and adopting early planting positively influence affordability and stability. Furthermore, the study explores the influence of constraints on the practice of CSA in Southeast Nigeria. Farmers’ illiteracy (50.6)***, high production costs (4.00)***, lack of equipment and inputs, limited awareness of CSA practices (5.24)***, and resistance to change (13.70)*** were identified as key constraints. However, the study recommends that promoting awareness and incentivizing sustainable agricultural practices can encourage farmers to overcome resistance to change and embrace CSA initiatives, thus enhancing food security and economic development in Southeast Nigeria.
Kolestrolü Tedavi Edici İlaç Kombinasyonlarının Eşzamanlı Spektrofotometrik Tayini
Authors: Pekcan Güzide , Bakan Ceyhun
Published: April 2024

Bu çalışmada, kolestrol yüksekliği tedavisinde kullanılan ilaç etken maddelerinde atorvasatin ve ezetimibin miktar tayinleri kemometrik programlardan olan kısmi en küçük kareler metodu ile ultra viyole görünür alan spektroskopisi verileri öz önüne alınarak hesaplanmıştır. Kısmi en küçük kareler (PLS) yöntemi ile hesaplanan değerlere bakıldığında geri kazanım değerleri oldukça yüksek, bağıl standart sapma değerleri de yeterince küçük değerler olarak elde edilmiştir. Gerçek ve tahmini yani hesaplanan değerler arasındaki ilişkide de regresyon katsayıları bir değerine yakın bulunmuştur. Yöntemin geçerliliği için analitik parametreler hesaplanmıştır. Ticari ilaç tabletlerine geçmeden önce uygulanan yöntemlerin uygunluğu da kontrol edilmiştir. Bu işlem için ANOVA testi yapılmıştır. F hesaplanan değerleri F ölçüt ya da F teorik değerlerinden düşük olmalıdır. P değeri olan pearson korelasyon katsayısının da 0,05 değerinden büyük olması gerekmektedir. Hesaplanan değerler ile yöntemin uygun olduğuna karar verilmiştir. Bu çalışmada uygulanan yöntemler, iki bileşenli karmaşık ilaç karışımlarına uygulanabilmektedir.
Tahıl Nem Ölçüm Cihazlarının Tane Mısırın Farklı Nem Ölçüm Aralıklarındaki Doğruluk ve Hassasiyetlerinin Araştırılması
Authors: Acun Yeliz , Gürsoy Songül
Published: April 2024

Günümüzde tahılların nem içeriğini belirlemede elde taşınabilen birçok farklı tip portatif nem ölçüm cihazlarının piyasada yaygın bir şekilde kullanıldığı görülmektedir. Bu cihazların doğruluk ve hassasiyetlerinin belirlenmesi ve bu değişkenler üzerindeki etkili faktörlerin araştırılması, cihazların kalibrasyonu ve performanslarının artırılmasına önemli oranda katkı sağlayacaktır. Bu çalışmada, Türkiye piyasasında yaygın olarak kullanılan bazı tahıl nem ölçüm cihazlarının, tane mısırın farklı nem ölçüm aralıklarındaki doğruluk ve hassaslık dereceleri araştırılmıştır. Bu amaçla, üç farklı ticari nem ölçüm cihazı (KETT PM-450 Dökmeli, Wile-55 Sıkmalı, Pfeuffer HE Lite Kırmalı) tane mısırın farklı nem içeriği aralıklarında (%11-12, %16-17, %19-22, %23-25, %27-29 ve %30-31y.a.) denenmiştir. Bu ölçüm cihazlarından elde edilen verilerin doğruluk ve hassaslık dereceleri, referans fırın yöntemi kullanılarak test edilmiştir. Çalışma sonuçları, tane mısırın farklı nem içeriği seviyelerinde aletlerin doğruluk ve hassasiyet derecelerinin farklı olduğunu göstermiştir. Tane mısırın %11-31 nem içeriği aralığındaki yapılan ölçümlerde PM 450 cihazının ölçüm değerleri ile referans fırın ölçüm değerleri arasındaki en düşük fark, başka bir ifadeyle cihaz ölçümlerinin en doğru olduğu ürün nem içeriği aralığı % 21-23 (y.a.) olarak belirlenirken, Wile 55 ölçüm cihazının ölçümlerinin en doğru olduğu ürün nem içeriği aralığı % 14-15 (y.a.) ve Pfeuffer HE Lite Kırmalı nem ölçüm cihazında %11-12 olarak belirlenmiştir.
A Study on Customer Satisfaction towards Online Shopping of an Apparel
Authors: K Subramanian
Published: April 2024

With the booming Indian e-commerce market, understanding customer satisfaction in online apparel shopping is critical for retailers' success. This study explores this concept through a quantitative approach. A self-administered survey questionnaire, utilizing a 5-point Likert scale, gathers data from Indian consumers aged 18-50, a key demographic for online apparel purchases. The survey delves into various aspects influencing customer satisfaction, including product selection breadth, website navigation ease, delivery process efficiency, customer service quality, and the availability of size and fit information. Descriptive statistics will be employed to analyze the collected data, uncovering patterns and trends in customer satisfaction levels. Furthermore, depending on the formulated research questions and hypotheses, inferential statistics may be used to investigate potential correlations between customer satisfaction and brand loyalty within the online apparel shopping domain. This research aims to provide valuable insights for online apparel retailers in India, enabling them to optimize their platforms and enhance customer satisfaction for long-term success. Keywords: Online apparel shopping, customer satisfaction, India, e-commerce, apparel retail, satisfaction factors, online clothing shopping, customer experience, brand loyalty
StudentLink – Connecting Aspirations to Opportunities
Authors:   Shakthi Aditya M, Computer Science and Business Systems , Bannari Amman Institute of Technology, M Shakthi Aditya
Published: April 2024

In contemporary instructive settings, viable correspondence and coordinated effort among understudies, personnel, and overseers are fundamental for cultivating a helpful learning climate and expanding instructive results. To address this objective, we present STUDENTLINK, an web application intended to act as an incorporated center point for school networks, working with consistent correspondence, asset sharing, and cooperation. This paper gives a complete outline of the turn of events, execution, and assessment of STUDENTLINK, zeroing in on its key highlights, functionalities, and specialized design. STUDENTLINK offers an easy to understand interface, responsive interface, and many elements custom fitted to the necessities of school networks. Clients can safely confirm and get to the stage, where they can transfer, sort out, and share instructive materials, reports, and assets. The stage likewise empowers occasion coordination, permitting clients to make, make due, and RSVP to occasions inside the school local area. Furthermore, STUDENTLINK cultivates social connection through client profiles, likes, remarks, and sharing, advancing local area commitment and joint effort. The specialized engineering of STUDENTLINK is painstakingly intended to guarantee versatility, execution, security, and viability. Utilizing innovations, for example, Python with Jar system for backend improvement, MySQL information base for effective information stockpiling and recovery, and responsive plan structures like Bootstrap or Tailwind CSS for frontend advancement, STUDENTLINK offers a consistent and instinctive client experience across different gadgets and screen sizes. Through thorough testing, partner commitment, and iterative turn of events, STUDENTLINK has developed to meet the advancing requirements and assumptions for school networks. Future cycles will zero in on consolidating client criticism, upgrading stage includes, and growing its arrive at inside instructive foundations. By and large, STUDENTLINK addresses a huge step in the right direction in advancing correspondence, cooperation, and local area commitment inside school conditions, with the possibility to change the instructive experience for understudies, workforce, and managers the same. Keywords: StudentLink, innovation, responsive, communication
Stress Detection in it Professionals by Face & Speech
Authors:   Dept Of CSE  Dr. J. J. Magdum College Of Engineering, Jaysingpur, R. D Prof.Mane
Published: April 2024

The main motive of our project is to address the pervasive issue of stress among IT professionals by developing an advanced Stress Detection System. Recognizing the detrimental impact of stress on both individual health and organizational performance, our project endeavors to create a solution that offers real-time monitoring and analysis of stress levels. Leveraging machine learning algorithms, particularly KNN classifiers, our system analyzes facial expressions and speech signals to accurately categorize stress indicators. This innovative approach enables proactive identification of stress among IT professionals, facilitating timely interventions and promoting overall mental health and well-being in the workplace. By providing personalized feedback and recommendations, our system aims to empower individuals to manage their stress effectively, ultimately fostering a healthier and more productive work environment.
Intelligent Medicine Delivery Robot Trolley for Hospital Admitted Patients
Authors:   Professor1, BE Student JSPM’S JSCOE,Hadpsar,Pune2-4, D. G. Prof. Ingale
Published: April 2024

The goal of the research is to enhance hospital patient care through the creation and application of an Intelligent Medicine Delivery Robot Trolley (IMDRT). In order to improve patient happiness, minimise mistakes, and expedite medicine delivery, the IMDRT makes use of cutting-edge technology including robots and artificial intelligence. The research combines human-computer interaction, robotics, and healthcare administration. Initial assessments indicate good feedback, shorter delivery times, and increased accuracy in the administration of medications. Key Words: healthcare, Medicine Delivery, robots and artificial intelligence
Virtual Reality in HealthCare
Authors:   Computer Engineering at NMIMS  Mukesh Patel School of Technology  Management and Engineering  Mumbai, India, Gonsalves Jesleena
Published: April 2024

This paper examines how Virtual Reality (VR) is used in healthcare, especially in medical training, patient care, and therapy. It uses a mix of methods, like looking at literature, case studies, and talking to experts, to see how VR affects how healthcare is given. The results show that VR gives people a truly immersive experience that helps them learn more about medicine, get better health outcomes, and come up with new ways to manage pain, rehabilitate, and treat mental health problems. The paper also talks about the challenges and chances that come with using VR in healthcare and how it could get better in the future. Keywords—Virtual Reality, Medical training, Medical Simulations.
Leaf Scanning Disease Detection
Authors:   Associate Prof. Electronics and Telecommunication JSCOE, Pune, Kalyankar Dr. Pratima.A.
Published: April 2024

Crop diseases pose a significant threat to global food security, with rapid identification challenges in regions lacking essential infrastructure. The confluence of rising smartphone adoption worldwide and recent strides in computer vision through deep learning has opened avenues for smartphone-enabled disease diagnosis. Leveraging a public dataset containing 2,500 images of plant leaves in varied health conditions, acquired under controlled settings, we employed a deep convolutional neural network. This model successfully discerns crop species and identifies diseases or their absence, achieving an impressive 86.35% accuracy on a withheld test set. This underscores the viability of the proposed methodology. In essence, the strategy of training deep learning models on expansive and accessible image datasets signals a promising route for widespread smartphone-assisted crop disease diagnosis on a global scale. Keywords - crop diseases, machine learning, deep learning, convolutional neural network (CNN)
A Review on Premenstural Syndrome
Authors:   Vivekanandha  pharmacy college for women, Veerachipalayam, Sankagiri West, Sankagiri Taluk, Salem  District-637 303, India, S Swetha
Published: April 2024

This activity is a review of the existing literature on premenstrual syndrome (PMS). It summarizes the management of PMS by outlining the importance of taking a comprehensive history and performing a detailed physical examination and makes a note of necessary diagnostic tests to be done to rule out other conditions that may present with similar symptoms, A woman has premenstrual syndrome (PMS) if she complains of recurrent psychological and/or physical symptoms occurring during the luteal phase of the menstrual cycle, and often resolving by the end of menstruation. Symptom severity can vary between women. Premenstrual symptoms occur in 95% of women of reproductive age. Severe, debilitating symptoms occur in about 5% of those women. There is no consensus on how symptom severity should be assessed for PMS, which has led to the use of a wide variety of symptom scores and scales, thus making it difficult to synthesise data on treatment efficacy. The cyclical nature of the condition also makes it difficult to conduct RCTs. Index terms - Premenstrual Syndrome Symptoms, Complication, Management
“ TRANSLUCENT CONCRETE ”
Authors:   Department of civil engineering K. K. Wagh Polytechnic, Nashik, Ghuge Samiksha Balu
Published: April 2024

Translucent concrete is awesome because it lets natural light in, which means we don't need to use as much artificial lighting during the day. This saves a bunch of energy and makes indoor spaces feel nicer. Plus, it looks really cool and can make buildings more energy-efficient. Even though it might cost more at first, in the long run, it can save a lot of money and energy. So, it's totally worth considering for building projects. We should keep studying it to make buildings even better in the future! Translucent concrete is a cool new thing! It lets natural light shine through, which means we can use less artificial lighting during the day. This not only saves energy but also makes indoor spaces nicer to be in. Plus, it looks pretty cool and can make buildings more energy-efficient. Even though it might cost more upfront, in the long run, it can save a lot of energy and money. So, it's a win-win! We should keep exploring this idea to make buildings even better in the future. Key Words: (Light transmitting , Concrete strenght ,type of items)
Customer Churn Prediction Using Machine Learning
Authors:   Dr. S. Brinthakumari Department of Computer Engineering New Horizon Institute of Technology And Management Thane, Maharashtra, India, Patil Ketan
Published: April 2024

Customer churn, the phenomenon where customers cease their relationship with a business, is a critical concern for e-commerce platforms striving for sustained growth and profitability. Predicting churn in advance can empower businesses to implement proactive retention strategies, thereby mitigating revenue loss and enhancing customer satisfaction. In this study, we propose a machine learning-based approach to predict customer churn in e-commerce settings. We begin by collecting extensive data encompassing various customer attributes, transactional history, browsing behavior, and engagement metrics. Leveraging this rich dataset, we employ state- of-the-art machine learning algorithms such as logistic regression, random forests, gradient boosting machines, and neural networks for predictive modeling. Feature engineering techniques are applied to extract meaningful patterns and insights from the raw data, enhancing the predictive performance of the models. By deploying the developed predictive model into production environments, businesses can proactively identify at-risk customers and tailor targeted retention strategies to mitigate churn. The results demonstrate the effectiveness of machine learning in accurately predicting customer churn in e-commerce, enabling businesses to proactively implement retention strategies and enhance customer engagement. Index Terms— Machine learning, E-commerce, Logistic re- gression, Decision tree, Random forest algorithm.
Market Dynamics: Enhancing Supply Chain Efficiency Through Demand Prediction
Authors:   Assistant Professor, Department of Information Technology, KKR & KSR INSTITUTE OF TECHNOLOGY AND SCIENCES(A), Guntur, India, N.M.V Miss. Nirmala
Published: April 2024

This research gives a state-of-the-art solution for web-based demand forecasting. Machine learning methods are employed to build the approach, which takes use of Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling. Customers may utilize our system to provide product codes combined with the period's start and end dates in order to correctly anticipate future demand patterns. Through the combination of previous sales data with current market circumstances, competitive plans, and other external variables, our system is able to discover complicated consumer patterns. This gives data that may be utilized for inventory management, pricing strategies, and production scheduling. All things considered, the holistic plan optimizes resource usage, eliminates waste, and supports consumer satisfaction. A data-driven solution that takes advantage of AI capabilities is being offered as part of this joint endeavor. This solution is positioned to assist numerous sectors, including manufacturing, retail, and healthcare, and it will boost operational efficiency and sustainable development in a global economic framework. Keywords— Product Demand Forecasting, Inventory Management, Production Planning, Time Series Analysis, Predictive Analytics, Inventory Optimization, Demand Prediction System, Real-time Forecasting, Data-driven Decision Making, Supply Chain Optimization, Price Elasticity Analysis, Demand Volatility Management, Retail Analytics.
URL Security Assessment Using Machine Learning
Authors:   Department of Information Technology  PVP Siddhartha Institute of Technolog, K Sri Vijaya
Published: April 2024

The significance of the World Wide Web has expanded considerably over time. However, alongside technological progress, there has been a rise in the complexity of methods aimed at exploiting users. These efforts often involve infecting users' computers with malware or directing them to unfriendly websites for purposes such as peddling counterfeit goods or exposing sensitive information, leading to financial fraud. Malicious URLs pose a significant threat to potential victims by hosting a range of unwanted content. Therefore, there is a pressing need for a rapid and effective detection approach. This thesis addresses the challenge of identifying hazardous URLs by leveraging URL data and machine learning techniques. Various machine learning algorithms, including XGBoost, LightGBM, and Random Forest, will be utilized for this purpose. Key Words: Malicious URLs, XGBoost, LightGBM, Random Forest
Reflections on AERC 2016: Drawing Tomorrowâ€™s Blueprint from Todayâ€™s Inkwell
Authors: Holst John D.
Published: April 2024

This reflective essay is based on my contribution to the closing panel of the 2016 Adult Education Research Conference (AERC) in which we were tasked to reflect on the conference and share insights on how we draw tomorrowâ€™s blueprint for adult education from todayâ€™s inkwell.Â  My reflections are based on a selection of papers from the conference which I read and the sessions I attended. The basis for my comments, like that for any reflections, is selective, partial, and biased toward my interests in the radical adult education tradition which I define very broadly to include those within the field who are explicitly dedicated to investigating, promoting and engaging in adult education for progressive, social democratic, or socialist transformation.
Journey of Racial Discrimination in Educational Genealogical Analysis
Authors: Royer Dan , Chang Bo
Published: April 2024

In this paper, we uncover how racial discrimination in education has shifted in different periods of time. Using the genealogical analysis method, we examined three distinct time periods. Racial discrimination does not disappear, but penetrates into the micro-educational context through curriculum, in grades, and funding to normalize people into a mainstream culture.
This study is meaningful since we consider racial discrimination in education in different periods of time. In the first period, nearly all restrictions identified were structural in nature, while in the second period, fewer structural limitations remained, but were combined with a paternalistic approach. Finally in the third period, unspoken and off the table structural prohibitions exist through approaches that allow discrimination to continue. Acknowledging this changing agenda in different periods of time sheds light on ways to break the structural barriers and promote students equal access to education.
HSI Students’ Experiences of “Servingness” during COVID-19
Authors: Hug Sarah , Jurow Susan , Thiry Heather
Published: April 2024

In this paper, we identify the contexts in which students at Hispanic-Serving Institutions (HSIs) continued (or failed to continue) their academic pursuits during the COVID-19 pandemic. We collected and analyzed open-ended survey data from 518 students from 14 computing departments at HSIs. Our analysis highlights how students experienced the multidimensional framework of “servingness,” the critical organizational, interactional, and ideological approach that many HSIs use to support their students (Garcia et al., 2019). We describe six distinct ways students experienced servingness in their postsecondary education during the first months of the pandemic, specifically through ) maintaining accessibility of physical infrastructures; 2) creating flexible policies that center relationality and responsibility; 3) holistic approaches to student wellness; 4) development of online culturally responsive pedagogy; 5) departmental and institutional provision of technical resources; and 6) student development of peer support networks.
We Have Seen This Before: The Racial Status Quo and “Anti-CRT” Discourse.
Authors: James-Gallaway Chaddrick D. , Adrienne D. Dixson
Published: April 2024

This essay discusses the recent ban on Critical Race Theory (CRT) sparked by a presidential memorandum in the early Fall of 2020. To do so, we look to the past and draw on Anti-NAACP discourse to underscore how the recent attacks on CRT manifest from the same white supremacist power structure that previously sought to halt racial justice. This essay closes with a discussion of recent white supremacist discourse and its impact on public education across the U.S.
Drowsiness Detection System: Integrating YOLOv5 Object Detection with Arduino Hardware for Real-Time Monitoring
Authors: S S Prof. Balwante , Kolhe Rameshwar , Pingale Nikhil K , Singh Chandel Dipendra
Published: April 2024

Drowsy driving remains a significant cause of accidents worldwide, prompting the need for effective real-time monitoring systems to detect and prevent driver fatigue. In this paper, we propose a novel approach for drowsiness detection leveraging state-of-the-art deep learning techniques and compact hardware implementation. Our system integrates the YOLOv5 object detection model with Arduino hardware, offering a portable and efficient solution for on-road application. The YOLOv5 model is employed for its superior speed and accuracy in detecting facial landmarks and identifying signs of drowsiness in real-time video streams. By focusing on the key features indicative of drowsiness, such as eye closure, head nodding, and yawning, our system can effectively discern driver fatigue levels with high precision. Furthermore, the utilization of Arduino hardware enables seamless integration of the detection system into vehicles, providing a cost-effective and accessible solution for widespread deployment. Leveraging the computational capabilities of Arduino, we optimize the inference process of YOLOv5 to ensure real-time performance on resource-constrained platforms. We present experimental results demonstrating the efficacy and efficiency of our proposed drowsiness detection system. Through rigorous testing in simulated driving conditions and real-world scenarios, we validate the system's ability to accurately identify drowsiness cues while maintaining low latency. Overall, our research contributes to advancing the field of driver safety technology by offering a practical and scalable solution for drowsiness detection. The integration of YOLOv5 with Arduino hardware showcases the potential for deploying sophisticated deep learning models in real-world applications, paving the way for enhanced road safety and accident prevention measures.
Common Teaching Strategies of Mathematics Teachers and Learning Achievement of High School Students at Tacurong National High School
Authors: Sugabo Jr Lucino C. , E. Niar Charmaine , Siringan Trisha Mae , Cerado, Phd Ernie C.
Published: April 2024

Students' academic experiences are greatly influenced by effective teaching methods, especially in topics like mathematics. This study explores the opinions of math teachers about using different teaching pedagogies with high school pupils. Without an organized plan, information could be shared that isn't relevant to the interests of the students, which highlights the need of using a variety of techniques to create positive discipline and encourage student motivation. Twenty-two high school math instructors from a public school in New Isabela, Tacurong City, Sultan Kudarat, were chosen as respondents using a Purposive Sampling Technique. The study uses a validated questionnaire to measure teacher impressions and uses a quantitative comparative design. To evaluate the collected data, statistical methods such as mean, One-way-analysis of Variance, and Tukey-Kramer were used. The computed F-value of 3.238 indicates that the results show a significant difference in the learning achievement of High School pupils in Mathematics when exposed to diverse teaching styles. This emphasizes how crucial it is to modify teaching strategies to meet the various needs of students. The study provides insightful information about how different teaching methods can improve students' academic performance in mathematics, laying the groundwork for further research and possible advancements in teaching methods. Comprehending the viewpoints of educators about these tactics can facilitate the creation of focused interventions aimed at enhancing the educational experience for High School Mathematics pupils.
Perceived Stress and Online Compulsive Buying Behaviour among Women Consumers in Butwal Sub- Metropolitan City
Authors: Aryal Rumisha , Bhattarai Supuspa
Published: April 2024

The article discusses the phenomenon of compulsive buying, emphasizing its prevalence and the associated negative consequences such as financial distress and impaired functioning. The present study examined the mediating role of Avoidance coping and the moderating role of self-esteem in the association between perceived stress and online compulsive buying. A sample of 409 female consumers, completed questionnaire measures of perceived stress, self-esteem, Avoidance coping, and online compulsive buying The focus is on the connection between compulsive buying and online shopping, particularly in the context of the growing dependence on the internet. The study also explores the role of avoidance coping mechanisms in understanding and explaining obsessive online purchasing behavior. Additionally, the article delves into the comorbidity of compulsive buying with various psychological disorders. The significance of mood, self-esteem, and coping strategies in compulsive shopping is highlighted. The geographical context of Butwal, a rapidly developing city in Nepal, is briefly described, and the article concludes with insights into the factors influencing online customer satisfaction and e-commerce growth in Nepal. Overall, the article provides a comprehensive overview of the complexities surrounding compulsive buying, particularly in the context of online shopping, and its implications for individuals and society.
Effects of Dietary Protein Restriction on Nutritional Status of Hemodialysis Patients
Authors: Gurung Rojee
Published: April 2024

Haemodialysis is one of the three renal replacement therapies in which waste products and excess fluid are removed from blood when kidneys stop functioning properly. Protein catabolism is increased as patients lose some protein during haemodialysis treatment. Sufficient protein intake is of great significance, yet prevalence of inadequate protein consumption persists due to various reasons, resulting protein-energy malnutrition (PEM). The studies regarding low protein intake among haemodialysis patients is lower compared to studies conducted on non-dialysis chronic kidney disease (CKD) patients. The purpose of this study was to investigate the prevalence of protein restriction practices and its effect in nutritional status of haemodialysis patients. The study was descriptive exploratory analysis among 150 haemodialysis patients at one of the largest dialysis center of Kathmandu district using anthropometric, biochemical, clinical and dietary (ABCD) assessments. Among 150 haemodialysis patients, majority (63.3%) were male. 71.3% were undergoing haemodialysis for more than 1 to 5 years and 82.7% doing twice a week in- center haemodialysis. According to serum albumin report, 66.7% were identified as PEM. Body mass index (BMI) result also classified 3.3% as underweight. It was concluded that the effect of protein restriction resulted as malnourished among certain patients. The underlying causes for consuming low protein diets were associated with dislike to protein-rich foods, financial constraints, lack of awareness, and other factors. Establishing regular consultations with dieticians and closely monitoring dietary patterns appeared as crucial approaches for enhancing the nutritional status of these patients. It is essential to acknowledge that protein requirements vary based on different stages of CKD and the presence of concurrent health conditions. Consistent follow-up by a multidisciplinary team, utilizing a range of nutrition assessment methods specified for haemodialysis patients is vital step.
Hoeveel zeggenschap mag een externe financier hebben over een collectieve actie van een belangenbehartiger?
Authors: Vader W.A.
Published: April 2024

Hoeveel zeggenschap mag een externe financier hebben over een collectieve actie van een belangenbehartiger? De glijdende schaal van beslismacht, naar zeggenschap naar invloed via een advies- en consultatierecht

Art. 3:305a BW is al dertig jaar de juridische kapstok van ons collectief actierecht. Deze bepaling is gaandeweg doorlopend en ook wezenlijk gewijzigd. In deze bijdrage staat de betekenis van het zeggenschapsvereiste uit art. 3:305a lid 2 sub c BW centraal. Het zeggenschapsvereiste werd in 2018 aan het al bestaande waarborgvereiste toegevoegd, nadat rond 2016-2017 procesfinanciering voor collectieve acties in Nederland van de grond kwam. De wetgever beoogde met deze aanvulling de ontvankelijkheidseisen voor belangenbehartigers aan te scherpen en zij strekt ertoe de zeggenschapsverhoudingen tussen enerzijds de belangenbehartiger (vaak een stichting) en anderzijds de externe financier nader in te kleden. Het doel was om een Amerikaanse claimcultuur en uitwassen te voorkomen, en ook dat deze collectieve acties geen louter commerciële initiatieven mochten zijn waarbij het belang van de financier vooropstaat. Met de introductie van het zeggenschapsvereiste heeft de wetgever echter wel ruimte gelaten voor een zekere mate van invloed van de financier op de collectieve vordering. Maar juist de mate waarin de belangenbehartiger zeggenschap moet behouden over de rechtsvordering is niet geheel duidelijk. Ook recente rechtspraak laat een diffuus beeld zien over de invulling van het begrip en lijkt het zeggenschapsvereiste bovendien integraal te toetsen, terwijl een marginale toets door de wetgever is beoogd. In deze bijdrage wordt daarom een voorstel gedaan tot nadere inkleuring van het zeggenschapsvereiste, daarbij rekening houdend met de belangen van alle betrokken partijen, in de eerste plaats die van de gedupeerden, maar ook die van belangenbehartigers en hun financiers. De praktijk is immers gebaat bij meer duidelijkheid.
Over gezichtspunten en aannames bij de begrenzing van het recht op schadevergoeding bij shockschade in en na Hoogeveen
Authors: Engelhard E.F.D. , Engelhard I.M.
Published: April 2024

Over gezichtspunten en aannames bij de begrenzing van het recht op schadevergoeding bij shockschade in en na Hoogeveen

In dit artikel worden aandachtspunten gesignaleerd voor de gezichtspuntenbenadering van Hoogeveen bij shockschade. In de rechtspraak wordt er bij het gezichtspunt van de confrontatie van naasten en nabestaanden met geweldsmisdrijven nog veel gewicht toegekend aan de precieze wijze van de confrontatie en aan het moment waarop die plaatsvond. Deze beperkte uitleg vraagt volgens de auteurs om een onderbouwing. Voor reddingswerkers oogt Hoogeveen onnodig restrictief en ligt aansluiting bij de ratio van de koerswijziging van de Centrale Raad van Beroep in de rede. Daarnaast doen zij enkele voorstellen voor de toepassing van het gezichtspunt van nauwe relatie met het primaire slachtoffer.
Uitspraak inzake dwangarbeid bij de Zusters van de Goede Herder: de toepasselijkheid en het collectief toetsen van de doorbrekingsleer
Authors: Wijntjens L.A.B.M.
Published: April 2024

Uitspraak inzake dwangarbeid bij de Zusters van de Goede Herder: de toepasselijkheid en het collectief toetsen van de doorbrekingsleer. Rb. Noord-Holland 29 maart 2023, ECLI:NL:RBNHO:2023:2811

In deze bijdrage wordt geflecteerd op een zaak waarin kloostercongregatie de Goede Herder wordt aangesproken omdat zij onrechtmatig zou hebben gehandeld door vrouwen dwangarbeid te laten verrichten. De belangrijkste rechtsvraag in deze zaak is of het beroep op verjaring naar maatstaven van redelijkheid en billijkheid onaanvaardbaar is, zodat de verjaring moet worden doorbroken. De rechtbank oordeelt dat de doorbrekingsleer ook kan worden toegepast in de onderhavige zaak en dus niet alleen in gevallen van verborgen schade. De verjaring kan echter niet als groep worden doorbroken, daarvoor verschillen de individuele omstandigheden te veel van elkaar.
Оценка влияния экономических санкций на реальный сектор экономики России
Authors: Дегтярев Кирилл Юрьевич
Published: April 2024

В статье рассматривается специфика экономических отношений, их правовая природа и отличия в подходах к экономическим отношениям со стороны Российской Федерации, Европейского союза и ООН; раскрывается специфика экономических санкций, в том числе в отношении Российской Федерации, с учетом сравнения ограничительных мер до февраля 2022 года и после обозначенного периода; определяется правовая платформа внедрения и реализации экономических санкций различными акторами международного права. В ходе анализа рассматривается развитие национальной экономики Российской Федерации в 2022 и 2023 годах; изучаются ключевые санкционные меры, которые были введены различными странами в отношении страны; раскрываются подходы к уменьшению влияния ограничительных мер и стабилизации национальной экономики Российской Федерации. В центре внимания оказывается влияние санкций на ключевые отрасли национальной экономики в аспекте переориентации управленческих решений крупных предприятий; рассматривается специфика адаптации российской экономики к новым условиям с учетом приоритетных направлений стабилизации экономики, реализуемых Правительством РФ; анализируются особенности экономических санкций США, Канады, Австралии и европейских стран в отношении Российской Федерации. Изучаются также факторы уменьшения воздействия экономических санкций на российскую экономику, в том числе с учетом актуализации экономических отношений с дружественными странами. Приводятся статистические данные и анализ долгосрочных трендов с учетом позиции экономистов и Банка России; сопоставляются оценки прогнозируемого и реального ВВП Российской Федерации на фоне ВВП других стран. В результате прогнозируются дальнейшие пути развития национальной экономики в условиях экономических санкций, а также вероятность смягчения ограничительных мер в отношении Российской Федерации. В качестве рекомендаций по минимизации неблагоприятных эффектов экономических санкций предложена поддержка потенциала российского бизнеса и расширение понятия налоговых агентов с целью оптимизации доходной части бюджета Российской Федерации.
Isolation, identification and chemical characterization of compounds from phenolic extracts of peels of Kufri Chipsona-3 and Kufri Jyoti potatoes having synergistic antioxidant interactions in combination
Authors: Bhattacharya Abhishek , Chattopadhyay Rabi Ranjan
Published: April 2024

The study focused on the isolation, identification and characterization of the bioactive compounds that are responsible for synergistic antioxidant interactions in combination from the peel extract of Kufri Chipsona-3 and Kufri Jyoti potato varieties by Thin-Layer Chromatography (TLC) bioautography mediated isolation technique which was followed by isobologram analysis as well as characterization using different spectrometric methods. The results revealed that among the isolated seven antioxidant components of potato peel extracts (three components with Rf : 0.33, 0.52 and 0.57 from the peel extract of Kufri Chipsona-3 and four components with Rf : 0.14, 0.22, 0.36, 0.61 from the peel extract of Kufri Jyoti, only one component from Kufri Chipsona-3 (Rf : 0.57) and one component from Kufri Jyoti (Rf : 0.61) potato varieties in combination exhibited synergistic antioxidant interactions in combination. Spectrometric analysis (UV/Vis, FT-IR and HR-LCMS/MS) revealed that the active component with Rf : 0.57 from Kufri Chipsona-3 is prodelphinidin trimer and the other component with Rf : 0.61 from Kufri Jyoti is 5-hydroxy-3’,4’,7-trimethoxyflavone. In a root growth inhibition test (LC50 > 200 µg/ml), on Allium cepa, these two compounds showed no cytotoxicity. The results provide evidence that these two phenolic compounds, prodelphinidin trimer and 5-hydroxy-3’,4’,7-trimethoxyflavone in combination may serve as a stronger and efficacious novel natural antioxidant blend in pharmaceutical and food industries.
Antibacterial Susceptibility Pattern of Salmonella spp from a Southeastern River
Authors:   1Department of Pharmaceutical Microbiology and Biotechnology, Faculty of Pharmaceutical Sciences, University of Nigeria,  Nsukka, Enugu State, Nigeria, Ezugwu D. C. , Okorie C. N. ,   Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, University of Nigeria,  Nsukka, Enugu State, Nigeria, Emencheta S. C.
Published: April 2024

Salmonella is ubiquitous bacteria commonly found in the water, animals, humans, and the environment. The transmission is facilitated by human activities, including the irrigation of farm products using contaminated surface water, and is a public health concern. This study was carried out to assess Salmonella contamination in the Ekulu River in the Enugu metropolis and determine their susceptibility to some selected relevant antibiotics. Water samples were collected randomly in the region and processed for isolation and identification of Salmonella spp using the direct plating method. The antimicrobial susceptibility tests of the isolates against ciprofloxacin (5 μg), chloramphenicol (30 μg), amoxicillin (10 μg), and streptomycin (10 μg) were done using the disc-diffusion method. Twenty-six (26) (100 %) of the isolates were resistant to amoxicillin antibiotics, and 42.31 %, 23.07 %, and 46.15 % were resistant to ciprofloxacin, chloramphenicol, and streptomycin, respectively. This study shows the importance of establishing adequate measures to control contamination of surface water used for domestic activities in the Emene community Enugu metropolis. Improved water quality increases health and reduces the transmission of diseases/infections.