bluuebunny/crossref_metadata_2025 huggingface dataset:
PLC BASED RAILWAY ACCIDENT AVOIDANCE SYSTEM
Authors:   ENTC the JSPM’s BSIOTR, Wagholi Pune, Patil Mr. Yuvraj
Published: April 2024

The paper presents a comprehensive framework for enhancing railroad security by integrating technologies such as signalling arrangements, train closure security systems, automatic railroad gate control, intrusion detection, obstacle detection, tunnel control, and automatic blockade systems. These systems utilize sensors and advanced controls to detect and mitigate potential threats, enhancing security measures and reducing the risk of accidents. Programmable Logic Controllers (PLCs) in railroad systems manage several security protocols, including emergency brake, over-speed control, train door control, and fire detection. They also ensure passenger and train safety by monitoring temperature, pressure, and voltage parameters. In the event of any anomalies, the PLC triggers an alert and takes necessary actions to prevent accidents. Key Words: : Automatic Barricade System, Automatic Railway Gate Controlling, Crack Detection System, Obstacle Detection, PLC, Signalling Deployment System, Tunnel Power Saving System.
Predicting Bank Loan Eligibility Using Machine Learning
Authors:   Associate Professor, Department of Computer Science and Engineering, Tirumala Engineering College, Y Mrs. Swathi
Published: April 2024

With the increasing needs of people, the demand for bank loans also rises. Each day, banks receive numerous loan applications from various customers and individuals, however, not all applicants are approved. Banks typically assess an applicant's eligibility before processing a loan application, a process that can be time-consuming and complex. In evaluating loan applications and making credit decisions, banks often rely on their credit scoring and risk assessment systems. Nevertheless, there are still cases where some applicants default on their payments annually, resulting in significant financial losses for financial institutions. In this research, we utilized machine learning algorithms to analyze a dataset of approved loans and predict which applicants are most deserving of a loan. The study incorporates customers' historical data, including factors such as age, income type, loan annuity, last credit bureau report, organization type, and length of employment. Various machine learning methods like Random Forest, XGBoost, Adaboost, Lightgbm, Decision tree, and K-Nearest Neighbor were utilized to identify the most influential features that impact prediction outcomes. These algorithms were then compared using standard metrics, with Logistic Regression achieving the highest accuracy rate of 92%. Key Words: Bank Loans, Logistic Regression, Credit Report, Risk Assessment
COMPARISON OF DIFFERENT BUILDING MATERIALS FOR ENHANCEMENT OF BUILDING COMFORT
Authors:   B.Tech Students Civil department Dr. A. D. Shinde College of Engineering, Gadhinglaj, Maharashtra India., T Shubham
Published: April 2024

As people spend more time indoors, the need for buildings that are not only energy-efficient but also comfortable and healthy has become more critical. The objective of this project is to compare the performance of different building materials in enhancing the building comfort by monitoring the temperature levels of three different rooms on an hourly basis. In order to achieve this objective, a sensor was designed and installed in each room to record the temperature readings. The data collected by the sensors was then analyzed and compared to determine the effect of different building materials on the indoor environment. The experiment was conducted over a period of 21 days and the data was collected for each hour of the day. The results of the study indicated that the choice of building material has a significant impact on the indoor environment, with some materials performing better than others in terms of maintaining comfortable temperature levels do. The data collected was then presented in graphical form to facilitate easy comparison of the performance of different building materials. Overall, the findings of this study can be used to inform decisions about the choice of building materials for different construction projects in order to optimize the building comfort and ensure a healthy indoor environment. Keyword- Temperature measurement device, Enhancement of building comfort, Three Different Building Materials clay burnt Brick masonry, Stone Masonry and AAC Block
Detection of Fault in Solar Panel Using Thermal Image Processing
Authors:   AP, EEE Department, Vimal Jyothi Engineering College, Francis Tinu
Published: April 2024

This paper explores the practical application of thermal cameras mounted on drones for thermal image processing in solar panel maintenance, with an emphasis on hotspot fault detection. Traditional manual inspection methods for solar panels are often time-consuming and labour-intensive, prompting the exploration of more efficient alternatives. By leveraging the capabilities of drones equipped with thermal cameras, high-resolution images and videos of solar panels can be captured swiftly and effectively. Advanced thermal image processing techniques are then employed to analyse these visuals, with a particular focus on identifying hotspot faults. The study introduces novel methodologies aimed at enhancing the accuracy and speed of anomaly detection in thermal imagery, thereby enabling proactive maintenance interventions. Real-time inspection capabilities integrated into the drone-based system provide immediate feedback to maintenance personnel, facilitating prompt decision-making and action. Through the adoption of this approach, solar panel maintenance operations are streamlined, leading to improved efficiency and cost-effectiveness. Ultimately, the implementation of drone-based thermal imaging solutions contributes to the sustainability and longevity of solar energy systems. Key Words: thermal image processing, solar panel, faults in solar panel, drones, hotspot, fault detection.
The Implementation of Artificial Intelligence and its Future Potential
Authors:   MASTER OF BUSINESS ADMINISTRATION  SCHOOL OF BUSINESS  GALGOTIAS UNIVERSITY, DUBEY NEETU
Published: April 2024

The implementation of artificial intelligence (AI) involves the utilization of various methodologies, including machine learning, deep learning, natural language processing, and robotics. These methodologies enable computers to perform tasks that traditionally require human intelligence, such as recognizing patterns in data, understanding natural language, and making decisions. AI's future potential is vast and spans across numerous industries and applications. In healthcare, AI can assist in disease diagnosis, personalized treatment plans, and drug discovery. In finance, AI algorithms can analyze market trends, detect fraud, and optimize investment portfolios. In transportation, AI powers autonomous vehicles, optimizing routes and reducing accidents. In entertainment, AI-driven recommendation systems personalize content for users. However, realizing this potential requires addressing several challenges. Ethical considerations are paramount, including ensuring fairness, transparency, accountability, and privacy in AI systems. Bias in algorithms must be mitigated to prevent discrimination, and AI decisions must be interpretable and explainable to users. Research efforts are underway to advance AI capabilities while addressing these challenges. This includes developing more robust and efficient algorithms, improving AI safety and security, and exploring applications of AI for social good, such as addressing climate change and promoting inclusivity. Collaboration between academia, industry, and government is crucial for driving AI research forward and ensuring its responsible integration into society. This collaboration facilitates knowledge sharing, resource allocation, and the development of standards and regulations to guide the ethical and equitable deployment of AI technologies. Ultimately, by harnessing the power of AI responsibly, society can benefit from its transformative potential while mitigating potential risks.
Characterization of - R1 Spaces
Authors:   Sri Ramakrishna College of Arts & Science for Women – Coimbatore, R . Saranya
Published: April 2024

In this paper we introduce - spaces and we study some characterization of - spaces. We analyse the relation between μ**-closed sets with already existing closed sets. KEYWORDS: μ**-closed sets, μ**-open sets, μ**-closure, μ**-Ro spaces.
ARTIFICIAL INTELLIGENCE ADOPTION IN INVESTMENT MANAGEMENT COMPANIES
Authors: Kumar Aman
Published: April 2024

This analysis delves into the evolving landscape of artificial intelligence (AI) adoption within the financial services industry, juxtaposed against broader market trends. Drawing insights from industry experts and research findings, it examines key challenges and opportunities faced by financial institutions in leveraging AI technologies to drive innovation and competitive advantage. The study highlights the critical importance of data management strategies, cultural transformation, and talent development in facilitating successful AI implementation. It underscores the significance of striking a balance between centralization and federation in data management approaches, alongside the imperative of strengthening ethics and bias management practices. Furthermore, the analysis delves into the pivotal role of multidisciplinary AI teams, emphasizing the necessity of integrating diverse skill sets, including data scientists, business experts, and senior executives, to maximize the efficacy of AI initiatives. It also sheds light on regulatory developments, such as the Canadian government's Algorithmic Impact Assessment (AIA), aimed at fostering transparency and accountability in automated decision-making systems. Overall, this study provides valuable insights into the challenges and opportunities inherent in AI adoption within the financial services sector, offering recommendations to guide firms towards sustainable AI-driven growth and innovation.
WORD WISE PREDICTION USING DEEP LEARNING
Authors:   Student, Department of Computer Science and Engineering, Tirumala Engineering College, Sireesha Kakumanu Lakshmi
Published: April 2024

Word wise prediction is an input technology that simplifies the process of typing by suggesting the next word for a user to select, as typing in a conversation consumes time. You might be using it daily when you write texts or emails without realizing it. Most of the keyboards in smart phones suggest next word prediction features. Google also uses next word prediction based on our browsing history. So, preloaded data is also stored in the keyboard function of our smart phones to predict the next word correctly. By predicting the next word in a sequence, the number of keystrokes of the user can be reduced. In this project, we have used a deep learning approach by using Long Short Term Memory(LSTM) technique which gives better prediction accuracy than the machine learning approach. Key Words: Word, technology, smart phones, keystrokes, long short term memory.
Fake Currency Detection Using Deep Learning
Authors:   Department Of Computer Science & Engineering, Bachelor of Technology Tirumala Engineering College  Jonnalagadda, Narasaraopet, Guntur(Dt), Ap., Sindhu Medarametla Durga
Published: April 2024

Fake currency is the money produced without the approval of the government, creation of it is considered as a great offence. The progression of shading printing innovation has expanded the rate of Fake currency copying notes on a large scale. Albeit electronic monetary exchanges are turning out to be more popular and the utilization of paper cash has been diminishing as of late, banknotes still remain in distribution attributable to their dependability and straight forwardness in use. Few years ago, the printing should be possible in a printing-houses, yet presently anybody can print a money paper with most extreme exactness utilizing a straightforward laser printer. As an outcome, the issue of duplicate currency rather than the authentic ones has been increases generally. India had reviled the problems like defilement and dark cash and fake of money notes is likewise a big issue to it. To handle this problem, a deep learning-based framework is proposed to identify the fake Indian currency. The MATLAB tool has been used to identify the fake currency. The outcome will classify whether the Indian currency note is Real or Fake
IMPROVING THE ENGINEERING PROPERTIES OF CLAYEY SOIL USING SILICA FUME AND SISAL FIBER
Authors:   PG student, Dept. of Civil Engineering, Sri Sai College of Engineering& Technology, Badhani, Punjab, India, Cho Mohmmad Hassan
Published: April 2024

Building on soft soils continues to be a challenge for civil engineers in the modern world, despite the rapid development of infrastructure projects and advancements in construction technology. They exhibit a large volumetric change upon contact with water, which is the cause of their limited bearing capacity. Various stabilization strategies can be used to handle the soft clay's shear strength issue. In this experiment, sisal fibers and silica fumes were added in different amounts to the clay soil in order to determine the ideal moisture content and strength parameters for reaching the maximum dry density of the soil. By adjusting the amount of sisal fiber for each amount of silica fume, the Unconfined Compressive Strength (UCS) test has been used to examine the strength of both natural clay and clay modified with silica fume (6%, 12%, 18%) and sisal fibers (0.5%, 1.0%, 1.5%) separately, as well as the combination of all the materials. Using a small compaction device, standard proctor test was used to determine the ideal moisture content and maximum dry density. According to the test results, the maximum dry density falls with increasing silica fume content likewise, the maximum dry density increases with increasing sisal fiber content. The addition of 12% silica fume and 2.0% sisal fiber to the clay sample results in a maximum strength when taking the strength parameter into account. Key Words: Compaction test, CBR, UCS, Silica fume, Sisal Fiber
DROWSINESS AND ALCOHOL DETECTION USING ARDUINO
Authors:   ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK, KUMAR Y.NAVEEN
Published: April 2024

Accidents on road ways are increasing in our day to day lives. These accidents pose significant threats to human safety and well-being. There are several ways for reduction of accidents. Some of them are Drowsiness detection and Alcoholic detection. By using sensors, communication devices and algorithms, the system aims to identify potential hazards. This abstract presents a comprehensive approach to accident reduction using Internet of Things (IoT) technology. Drowsiness Detection System aims to mitigate the risks of drowsy driving and enhance road safety. By utilizing an Arduino microcontroller and various sensors, this system continuously monitors the driver’s vital signs and facial expressions. It analyzes parameters such as eye blink patterns, head movements, and heart rate to accurately identify signs of drowsiness. Upon detecting drowsiness, the system promptly alerts the driver through alarms or visual cues, prompting them to take necessary actions to prevent accidents. This project serves as a vital tool in reducing road accidents caused by driver drowsiness, ensuring safer journeys for all. This project presents the design and implementation of an Alcohol Detection with Engine Locking for cars using Arduino UNO as the MCU (Master Control Unit). The system will continuously monitor level of alcohol concentration in alcohol detection sensor and thus turn off the engine of vehicle if the alcohol concentration is above threshold level. The model will also send the message of whereabouts of the vehicle through SIM900A. The project provides an efficient solution to control accidents due to drunk driving Key Words: Arduino UNO, Sensor Fusion, Real time monitoring, MQ-3 sensor, GPS module, GSM module, Telematics.
INDIAN CUISINE RECIPES BASED ON INGRIDIENTS
Authors:   Department of Computer Science and Engineering BACHELOR OF TECHNOLOGY TIRUMALA ENGINEERING COLLEGE, Y .GOPIKA
Published: April 2024

There are lots of varieties of Indian cuisine available with same ingredients. In India, Traditional cuisines consist of wide varieties due to locally available spices, herbs, vegetables, and fruits. In this paper, we purposed a method that recommends recipes of Indian cuisine on the basis of available ingredients and liked cuisine. For this work, we did web scraping to make a collection of recipes' varieties and after that apply the content-based approach of machine learning to recommend the recipes. This system gives the recommendation of Indian Cuisines based on ingredients Using Navibayes Ml- Algorithm .
A Study on Employee Motivation and Practices at RG Servicez- Coimbatore
Authors:   MBA Student, School of Management Studies,   Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India, G BHARANI KRISHNA
Published: April 2024

This study delves into the intricate relationship between employee motivation and organizational practices, aiming to elucidate the factors that drive employee engagement and performance within various work environments. Through a comprehensive literature review and empirical analysis, this research investigates the impact of intrinsic and extrinsic motivators, leadership styles, recognition programs, and organizational culture on employee motivation. Furthermore, the study explores best practices and strategies employed by successful organizations to foster a motivated workforce, ultimately offering insights and recommendations for enhancing employee motivation and productivity in contemporary workplaces. KEYWORDS Employee motivation, Employee engagement
ANALYZING THE IMPACT OF SOCIAL MEDIA INFLUNCERS ON CONSUMER BEHAVIOUR.
Authors: Raj Ankit
Published: April 2024

This study investigates the influence of social media influencers (SMIs) on choice imitation among their followers, with a focus on the mediating role of customer loyalty and the moderating effects of demographic factors. Utilizing data collected from 483 respondents via the MTurk platform, regression analysis was conducted to analyze the relationship between SMIs and choice imitation, considering the influence of customer loyalty and demographic variables. The findings reveal a significant and positive relationship between SMIs and choice imitation, indicating that SMIs' behaviors and recommendations have a substantial impact on the purchasing decisions of their audience. Furthermore, customer loyalty emerged as a key mediator in this relationship, suggesting that stronger loyalty to SMIs leads to increased choice imitation among followers. Moreover, the study identifies the importance of considering demographic factors such as gender, education level, and income as moderators of the relationship between SMIs and choice imitation. These factors influence the extent to which individuals are influenced by SMIs' content and personality traits. Overall, the study contributes to our understanding of influencer marketing dynamics on social media platforms and underscores the significance of building customer loyalty and strategically selecting SMIs based on their characteristics. These insights have implications for marketers seeking to leverage influencer marketing effectively to reach and engage with their target audience.
SIGNVISION: Empowering Communication Through Visual Recognition
Authors:   Assistant Professor, CSE & Raghu Engineering College, B. S V Reddy
Published: April 2024

The project "Sign Vision: Empowering Communication Through Visual Recognition" aims to develop a system that leverages advanced visual recognition technology to enhance communication for individuals with diverse needs. In today's digital era, effective communication is crucial for inclusivity and accessibility. However, traditional communication methods may pose challenges for individuals with disabilities or those facing language barriers. Sign Vision seeks to address these challenges by harnessing the power of visual recognition algorithms to interpret and translate visual information into comprehensible formats. The project will involve the development of a user-friendly interface equipped with image processing capabilities to recognize and interpret visual cues such as sign language, gestures, and symbols. Through machine learning algorithms, the system will continuously improve its recognition accuracy and adaptability to various communication styles and contexts. Additionally, Sign Vision will provide customizable features to accommodate individual preferences and accessibility requirements. Key Words: Visual recognition technology, Communication enhancement, Accessibility solutions
CYBER BULLYING DETECTION: AN ENSEMBLE BASED MACHINE LEARNING APPROACH
Authors:   BACHELOR OF TECHNOLOGY TIRUMALA ENGINEERING COLLEGE Jonnalagadda, Narasaraopet, GUNTUR (Dt.), A.P., S APARNA
Published: April 2024

Research on cyberbullying detection.To identify control and reduce the bullying contents spread over social media sites. Though data collection and feature engineering process has been elaborated, yet most of the emphasis is on feature selection algorithms. Thus there is an extensive need to identify, control and reduce the bullying contents spread over social media sites, which has motivated us to conduct this research to automate the detection process of offensive language or cyberbullying. In our work, Logistic Regression and Bagging ensemble model classifier have performed individually best in detecting cyberbullying which has been outperformed by our proposed SLE and DLE voting classifiers. Our proposed SLE and DLE models yield the best performance of 96% when TF-IDF (Unigram) feature extraction is applied with K-Fold cross-validation.
A STUDY ON ROLE OF HRM PRACTICES OF EMPLOYEE PERFORMANCE IN LARSEN & TOUBRO CONSTRUCTION
Authors:   SCHOOL OF MANAGEMENT STUDIES,  SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI, G MALINI
Published: April 2024

The project conducted at L&T Construction aimed to understand employee views on HRM practices impacting employee performance. It examined key areas such as Recruitment and Selection, Training and Development, Performance Appraisal, Compensation, Employee Benefits and Employee Engagement Initiatives. The primary goal was to analyze how these HRM practices influence performance within Larsen and Toubro Construction. Secondary objectives included evaluating employee perceptions of the recruitment process, average selection time and talent acquisition effectiveness. Surveys were administered to L&T Construction employees in Chennai, with primary data collected via questionnaires. Secondary data was gathered from various sources. Analysis involved percentage analysis, correlation analysis, chi square tests and ANOVA using SPSS software. Results revealed that L&T utilizes several methods like merit-based systems, campus interviews, talent searches, consultancy services, language proficiency and job specific skills assessments to enhance employee performance. The study will offer recommendations based on the findings. Keywords: HRM Practices, Employee Performance, Analysis.
Convolutional Neural Network using Social Group Optimization for Electrocardiogram
Authors:   Associate Professor, CSE & Raghu Engineering College, naik Dr. Anima
Published: April 2024

Electrocardiogram (ECG) analysis plays a pivotal role in diagnosing various cardiac conditions, making it essential to develop accurate and robust classification models. This project proposes a novel approach to optimize ECG analysis by considering social group factors, leveraging the combined power of XG Boost classifier and Convolutional Neural Networks (CNNs). The methodology involves collecting a diverse dataset of ECG recordings, spanning various demographic groups. Preprocessing techniques are applied to standardize and clean the data, followed by feature extraction using CNNs to capture intricate patterns in the ECG signals. Subsequently, XG Boost classifier is employed to classify the ECG signals based on the extracted features, considering social group factors as additional input features. Keywords : Electrocardiogram (ECG), Convolutional Neural Network (CNN), XG Boost ,Social Group Optimization (SGO), Deep Learning ,Machine Learning , Signal Processing ,Classification ,Feature Extraction, Cardiac Diseases.
Bilgisayar Oyunlarının Sinematik Evrimi: Film Uyarlamalarının Fragmanları Üzerine Bir İnceleme
Authors: Sünbül Olgundeniz Seda , Aydoğan Ümit
Published: April 2024

Bilgisayar oyunları günümüz dijital dünyasında kendine önemli bir yer edinmiş geniş bir kitleye sahip çevrim içi ve çevrim dışı platformlar şeklinde karşımıza çıkmaktadır. Oyunlar sadece bir eğlence aracı olmanın çok daha ötesinde inşa ettiği anlatı yapısı, mekân temsilleri, atmosferi, grafik ve animasyon kullanımı, karakter tasarımları ve etkileşim imkânı ile oyuncuya farklı bir deneyim alanı sunmaktadır. Bu açıdan bilgisayar oyunlarında anlatı oyunun tasarımında oldukça önemli bir rol oynamaktadır. Klasik anlatı yapısından farklı olarak oyun anlatıları oyuncunun oyun deneyimine bağlı olarak alternatifler ve çoklu sonuçlar içerebilmektedir. Dolayısıyla bilgisayar oyunlarında karakterinin gelişimi ve hikâye içindeki serüveni oyuncu için bir motivasyon kaynağı ve etkileşim unsuru olarak yer almaktadır. Oyun piyasasında yer alan oyunların ve buna bağlı olarak oyuncuların sayısal çokluğu film endüstrisinin bu oyunları sinemaya uyarlayarak oyuna ilgisi olan kitleyi yakalama çabasını da içermektedir. Bu çalışma kapsamında bilgisayar oyunlarından filme uyarlanan yapımların fragmanları belirli tema ve kategoriler doğrultusunda niteliksel içerik analizi yöntemiyle analiz edilerek bu yapımların film fragmanları ve oyun fragmanları bir arada incelenmiştir. Araştırmada oyun fragmanı ve oyundan uyarlanan filmin fragmanları arasındaki benzerlik ve farklılıklar saptanarak bunun temelinde yer alan unsurlar değerlendirilmeye çalışılmıştır. Araştırma verilerinin analizinde, bilgisayar oyunların fragmanları ve film uyarlamalarının fragmanları arasında anlatı yapısında ve CGI gibi karmaşık teknoloji kullanımında benzer özellikler olmakla birlikte, bilgisayar oyunlarının araçsal özellikleri ve filmlerin sinematografik dili açısından bazı noktalarda farklılıkların yer aldığı görülmüştür.
أثر استخدام التعلم الخالي من الأخطاء والتعلم الموجه بالأخطاء على عمق المعرفة والفاعلية الذاتية الأكاديمية لدى طالبات المرحلة الثانوية
Authors: الشبيلي فوزية بنت فهد
Published: April 2024

تهدف الدراسة الحالية التعرف إلى أثر استخدام التعلم الخالي من الأخطاء والتعلم الموجه بالأخطاء على عمق المعرفة والفاعلية الذاتية الأكاديمية. ولتحقيق هدف الدراسة؛ صممت الباحثة اختباراً في عمق المعرفة على درس "ميل المستقيم" من مقرر الرياضيات للصف الأول الثانوي، كما صممت مقياساً للفاعلية الذاتية الأكاديمية، وأعدت دليلاً للمعلمة في تدريس درس "ميل المستقيم".
وطبقت المعلمات المتعاونات مع الباحثة الأدوات على 380 طالبة من طالبات الصف الأول الثانوي في عدد من مدن ومحافظات منطقة القصيم (بريدة وعنيزة والبكيرية والبدائع)، وذلك في الفصل الأول من العام الدراسي 1445ه. وتوصلت النتائج إلى وجود فروق بين التعلم الخالي من الأخطاء والتعلم الموجه بالأخطاء في كل من عمق المعرفة والفاعلية الذاتية الأكاديمية لصالح التعلم الموجه بالأخطاء.
الاستعارة التصورية في كتاب "الدُّرُّ المصون في علوم الكتاب المكنون" مقاربة من منظور اللسانيات العرفانية سورة البقرة أنموذجًا
Authors: المالكي رائدة بنت حسن
Published: April 2024

يُعدّ البحث محاولة لوصل المعرفة اللغوية القديمة بالمعرفة اللسانية الحديثة في ضوء النظرية العرفانية، وهي نظرية تهتم بدراسة اللغة من خلال العمليات الذهنية المعرفية.
وسعى البحث إلى إنجاز مقاربة عرفانية تطبيقية تنتمي مدونتها إلى التراث العربي، وتستمد أدواتها من الدرس اللساني العرفاني، وأُنجزت تحت عنوان (الاستعارة التصورية في كتاب الدُّرُّ المصُون في علوم الكتابِ المكنون للسمين الحلبي (ت756ه) - مقاربة عرفانية في نماذج من سورة البقرة)، وتبرز أهمية البحث في الاستعارات التصورية في هذه المدونة من جانبين هما: عناية التيار اللساني العرفاني بالتصورات الذهنية من جهة، وخصوصية التحليل الدلالي للسمين الحلبي الذي يشير إلى فهمه العميق للاستعارة والذي يقترب فيه من المقاربة العرفانية؛ ومن أهم نتائج البحث:
1- العمق الدلالي والإدراكي عند السمين الحلبي؛ فقد حاول أن يربط بين المصدر والهدف في تحليلاته وشرحه، وكان له جهد واضح في تحديد مصادر الاستعارات التصورية وفضاءاتها.
2- بقراءة تفسيرات السمين الحلبي نجد أنه شكّل التصورات الاستعارية في أغلبها من جسد الإنسان كما في لفظ (الصلاة، الرهبة، الصفح، البخس، غُلف) إذ جعل الجسد مصدرًا لاستعارات تصورية أطبق فيها النسق التصوري لأعضاء الجسد وحركته وصفاته على النسق التصوري لمعاني الدين ومفاهيمه المجردة في استعارات استمدها من جسد الإنسان.
3- إمكانية توظيف معطيات النظريات اللسانية الحديثة على التراث اللغوي العربي.
دور هيئة الخبراء في إعداد ونشر الأنظمة السعودية دراسة تأصيلية نظامية
Authors: الخليفي عبد الرحمن بن عبد الله
Published: April 2024

جاءت هذه الدراسة تحت عنوان: "دور هيئة الخبراء في إعداد ونشر الأنظمة السعودية - دراسة تأصيلية نظامية"، وانتظمت في ثلاثة مباحث، المبحث الأول: الإطار المفاهيمي لهيئة الخبراء، وفيه مطلبان، المطلب الأول: التعريف بهيئة الخبراء ومجلس الوزراء، والمطلب الثاني: التعريف بالأنظمة والخبير، والمبحث الثاني: أهم الأنظمة السعودية ومصادرها ودور هيئة الخبراء في نشرها، وفيه مطلبان، المطلب الأول: مصادر الأنظمة السعودية، والمطلب الثاني: أهم الأنظمة السعودية، أما المبحث الثالث والأخير: الآليات التي تتبعها هيئة الخبراء في إعداد ونشر الأنظمة السعودية، وقيه ثلاثة مطالب، المطلب الأول: اختصاصات مجلس الوزراء ودوره في نشر الأنظمة السعودية، والمطلب الثاني: اختصاصات هيئة الخبراء ودورها في إيجاد الأنظمة السعودية، والمطلب الثالث: دور الموقع الرسمي لهيئة الخبراء في نشر الأنظمة السعودية، وخلصت الدراسة إلى العديد من التوصيات والنتائج التي انتهت إلى إبراز الدور المهم الذي تلعبه هيئة الخبراء التابعة لمجلس الوزراء السعودي في إعداد ونشر الأنظمة السعودية على أوسع نطاق.
مستوى نظام المناعة النفسية لدى مرضى الجهـاز المناعي في محافظة تعــــز في ضوء بعض المتغيرات
Authors: ثابت بسمة علي عبده
Published: April 2024

هدف البحث إلى التعرف على مستوى المناعة النفسية لدى الأفراد الذين يعانون من أمراض المناعة الذاتية، كما هدف إلى التعرف على الفروق النسبية في نظام المناعة النفسية وفق متغير: النوع، العمر، السكن، مستوى التعليم، العمل، والحالة الاجتماعية، وتكونت عينة البحث من (149) من مرضى المناعة الذاتية، الذين تتراوح أعمارهم بين (20-50) عاماً، تم اختيارهم بالطريقة العشوائية البسيطة والطبقية، وطبق عليهم مقياس نظام المناعة النفسية، الذي تم بناؤه من قبل الباحثة وقد أظهر المقياس درجة صدق عالية تم الحصول عليها باستخدام صدق الاتساق الداخلي، ومعدل ثبات مقداره (0.92) باستخدام معامل ألفا كرونباخ.
توصلت الباحثة في ضوء إجراءات المنهج الوصفي إلى انخفاض مستوى المناعة النفسية لدى مرضى المناعة الذاتية، وكان الانخفاض على مستوى الدرجة الكلية للمقياس وعلى مستوى كل بعد من الأبعاد، كما توصلت الدراسة إلى غياب الفروق في المناعة النفسية تبعاً لمتغير: النوع، والعمر، ومكان السكن، والحالة الاجتماعية، فيما ظهرت الفـروق في متغير المستوى التعليمي حيث ظهر الأفراد الحاصلون على التعليم الجامعي بمتوسط أعلى من أقرانهم الأميين والحاصلين على الثانوية العامة، وبالنسبة لمتغير العمل ظهرت الفروق لصالح العاملين الذين يعانون من أمراض المناعة الذاتية عن أقرانهم غير العاملين.
Perceptions of Novice and Experienced Translators toward the Role of High-quality Translated Tourism Promotional Materials (TPMs) in Promoting the Tourism Industry in Saudi Arabia
Authors: Alhaj Ali Albashir Mohammed
Published: April 2024

In today’s world, high-quality translated tourism promotional materials (TPMs) play a leading role in developing business sectors in general and the tourism sector in particular because TPMs are the most often used forms of media targeting actual tourists and other audiences. This study explored the perceptions of novice and experienced translators about the role of high-quality translated TPMs in promoting the tourism industry in Saudi Arabia. Fifty novice and experienced translators in Saudi Arabia participated in this study. Data gathering comprised quantitative data. The findings of the study revealed that a lot of participants (57.00%) had positive perceptions toward the role played by high-quality translated TPMs in promoting the tourism industry in Saudi Arabia. The findings also demonstrated that many of the respondents (60.85%) perceive that the main challenge in the translation of TPMs is culture-specific items that may be comparatively prevalent to the native population but unfamiliar to people outside that certain community.
THE STATE AND USE OF LAND IN THE NIZNIY NOVGOROD REGION AND TASKS OF LAND USE PLANNING
Authors: Zholobova Svetlana
Published: April 2024

The author, based on record of the Federal Service for State Registration, Cadaster and Cartography (Rosreestr), the Ministry of Agriculture of the Russian Federation, the Ministry of Agriculture and Food Resources of the Nizhniy Novgorod Region, the territorial body of the Federal State Statistic Service of the Nizhniy Novgorod Region, gives a comprehensive analysis of the state and the use of agricultural lands of the Nizhniy Novgorod region. The necessity of carrying out required measures for planning and organizing the rational use of agricultural lands and their protection, having regard to the specifics of the region, is substantiated.
It was revealed that, despite the provision of the region with land resources, the following negative trends are observed in the change of the land fund of the studied subject of the Russian Federation: reduction of agricultural, including arable land, increase in the area of forest lands due to agricultural land and reserve lands, decrease in acreage, the presence of unused arable land and unclaimed land shares, deterioration of the quality condition soils, the annual increase in washed-away soils of agricultural lands.
The main causes of negative processes are anthropogenic factors, such as: historically established remoteness of land from economic centers, short-term lease, low resource availability, non-compliance with crop rotations, and natural conditions. Due to the fact that the region is inhomogeneous in terms of soil, climatic, material, technical and labor resources, the author provides a comparative description of the state and use of agricultural land by zone.
As a result of the research, the necessity of carrying out required land management works (hold a complete inventory, drafting inter-farm and farm land use planning of agricultural organizations, with the implementation of the proper crop rotations and the development of a set of anti-erosion measures), performing pedological, geobotanical and other surveys of agricultural lands, taking into account the specifics of the region, within the framework of the regional program for the use and protection of land, provided for in paragraph 1 of Article 10 of the Land Code of the Russian Federation, dated 25 October 2001, No. 136-FZ.
MODERN INTERNET MARKETING AND ITS COMPONENTS
Authors: Svirin Vladislav
Published: April 2024

This article is devoted to the definition and analysis of such a concept as "Internet marketing". In the work will be studied different definitional approaches to the interpretation of this definition, put forward their own judgment about what is Internet marketing based on the analysis of literature and considered briefly retrospective analysis of the formation of Internet marketing, what types of marketing, at what stage it was and still is. The paper will also focus on modern forms of Internet marketing: "Marketing 4.0" and "Marketing 5.0". The author will describe how these types differ from each other and which one should be used by a modern commercial organization. At the same time, the work pays special attention to the need to create at the enterprise is not just traditional marketing, and it is the use of digital technologies inherent in Internet marketing. As a result of the research conclusions are made about the huge influence of Internet marketing on the development of modern enterprises and once again emphasizes that such a new promotion strategy is not stable, it has already developed and there are many of its forms that have changed over time.
ECONOMIC EFFICIENCY OF GROWING MODERN RAPESEED VARIETIES
Authors: Kuznecova Galina , Polyakova Raisa
Published: April 2024

The formation of varietal resources is a powerful factor ensuring food security of the country. The purpose of our research is to analyze the production of modern varieties and hybrids of spring rapeseed in the conditions of Western Siberia (on the example of the southern forest-steppe of the Omsk region) and to determine the economic efficiency of their cultivation. Methods of mathematical, statistical analysis of data from published official statistical sources were used. The prime costs, revenues and cost recovery for the cultivation of domestic varieties Yubileyny and 55region, foreign varieties (Heros) and hybrid (PR46X75) are calculated. The data on the structure of prime costs of spring rapeseed are presented, where the largest share of costs is accounted for by plant protection products (32.8%), and approximately equal shares (10.5-13%) are accounted for by labor remuneration, maintenance of fixed assets and other basic costs. The share of seed costs depends on the seed material and varies from 3% for varieties to 10% for hybrids. On average for the years of research (2021-2023) the maximum oilseed yield was observed in hybrid PR46X75 - 2.23 t/ha, where the net income amounted to 56547 rubles/ha, but the cost recovery in this variant is the lowest - 4.82, due to high costs (14813 rubles/ha) in comparison with the cultivation of varieties of Siberian breeding Yubileyny and 55region, whose indicators amounted to 51202-54590 rubles/ha, 5.21-5.22 and 12158-12930 rubles/ha, respectively. The highest profitability was achieved in the cultivation of the spring rapeseed varieties 55region (422%) and Yubileyny (421%), and the lowest - in the hybrid PR46X75 - 382%.
VEGETABLE PRODUCTION: STATE OF THE INDUSTRY AND DEVELOPMENT PROSPECTS
Authors: Bayanova Olga
Published: April 2024

The scientific article conducted a theoretical study on the issues of ensuring the efficiency of vegetable production, the development of the vegetable growing industry, and providing the population with vegetable growing products. The dynamics of sown areas over the past 25 years is presented. It was revealed that the largest share in the structure of sown areas is occupied by potato plantings, while in dynamics over 25 years, plantings have decreased by almost half. The smallest share in the structure of sown areas is occupied by the cultivation of industrial crops. Their share in the structure of sown areas has almost doubled over the past 25 years. From 10 to 20 percent of the sown area is used for planting vegetables; in the period under study, their area almost doubled. An analysis of the dynamics of the yield of open-ground vegetables showed that over the past 25 years it has almost doubled (from 143 c/ha to 242 c/ha). It is shown that the gross harvest of open-ground vegetables has been trending upward over the past 25 years, with an increase of about 15 percent. It was revealed that in the period from 2007 to 2019, there was an increase in vegetable production per capita by 21.5 percent. Consumption of vegetables exceeds its production within the country; during the study period it increased by 17.4 percent. It was noted that vegetable import indicators are ahead of export indicators. In 2019, vegetable exports were almost 15 times higher than in 1996.
Exploring Pedagogical Strategies: Integrating 21st-Century Skills in Science Classrooms
Authors: Haryani Esty , Cobern William W. , Pleasants Brandy Ann-Skjold , Fetters Marcia K.
Published: April 2024

Developing 21st-century skills among students is crucial for their success in college, future careers, and civic engagement. These skills, commonly referred to as the 4Cs (creativity, critical thinking and problem-solving, communication, and collaboration), require teachers to provide tailored learning experiences. This study investigates the factors influencing teachers' selection of pedagogical strategies to foster the integration of the 4Cs, their approach to lesson planning, and the actual implementation of these plans in the classroom. In this qualitative study, three chemistry teachers, self-reporting moderate 4C implementation, participated. Data were gathered through semi-structured interviews, analysis of lesson plans, and classroom observations. The findings reveal that teachers take into account student characteristics and learning facility availability when designing 4C-integrated lesson plans. Influencing factors include student attributes, the science topic, and teachers' mastery of the chosen approach. Communication, collaboration, and critical thinking emerge as the most integrated skills, with interactive lectures being the predominant teaching method. The study discusses the implications of these findings for educators and curriculum development.
Thermotolerance of environmental fungi captured from indoor air.
Authors: Abigail Collins  , Robertson Laura
Published: April 2024

While more than six million species make up the fungal kingdom, less than 300 cause disease in humans, in part because many fungal species are unable to grow at temperatures at or above human body temperature. However, there is concern that as global temperatures increase, fungal species that do not currently pose a risk to human health may adapt to growth at higher temperatures, opening the door for the emergence of new human fungal pathogens. This study assessed the growth of five fungal isolates captured from indoor air at temperatures up to 38°C.  All five isolates grew well at 24-27°C, grew poorly or not at all at 36°C, and none grew at 38°C.  We then investigated the growth of three fungal isolates captured from indoor air at 36 - 39°C when the growth temperature was gradually increased from ambient room temperature to 36 - 39°C, compared to growth after a sudden change of temperature from room temperature to 36 - 39°C.  All three isolates still exhibit poor to no growth at 39°C.  This research was supported by a NASA-WVSGC Undergraduate Research Fellowship (AEC) and a NASA-WVSGC Research Enhancement Award (LSR).
Effect of Menstrual Cycle on Neuromuscular Efficiency and Muscular Strength in Runners
Authors: Kemp Hannah , Metz Jason , Hanna David , Wetzel Robert
Published: April 2024

PURPOSE: The aim of this study was to examine the influence of the menstrual cycle (MC) stages on neuromuscular efficiency and muscular strength in female runners. METHODS: Three runners (females) underwent testing using a BIODEX isokinetic dynamometer concurrently with a BioPac EMG, during which peak torque, peak torque/body weight, time to peak torque, mean amplitude, median amplitude, minimum amplitude, maximum amplitude, frequency, and the p-p value were collected throughout the test. During the test, the performance variables were assessed on the quadriceps (rectus femoris) muscle and collected at speeds of 60 degrees/second and 180 degrees/second. STATISTICAL ANALYSIS: A paired-sample t-test was used to determine the correlation between neuromuscular efficiency and peak torque of the quadriceps during extension in the two MC phases. A paired-sample t-test was also used to determine the difference in neuromuscular efficiency between the MC phases, as well as peak torque between the MC phases. RESULTS: Muscular strength testing did not reveal statistical significance between neuromuscular efficiency and peak torque of the quadriceps during MC phases. Furthermore, there was no statistical significance between the differences in peak torque of the MC phases. Maximum amplitude at 60 degrees/second on the left leg between the MC phases revealed statistical significance (p = 0.026). EMG wave frequency at 60 degrees/second on the right leg between the MC phases revealed statistical significance (p = 0.007). CONCLUSION: Results show a significant difference in maximum amplitude and wave frequency at 60 degrees/second during knee extension between the MC phases.
Tick Biodiversity and Lyme Disease:
Authors: Scronce M. Christine , Hannan Abigail , Westcott Hali , Fincham Haden , Sal Melanie , Bjorgo Kimberly
Published: April 2024

Ixodid (Acari: Ixodidae) ticks are widespread, diverse, and known as carriers of several important diseases. Lyme disease is a tick-borne illness affecting humans, livestock, and domestic animals and is caused by the spirochaete Borrelia burgdorferi. It is the most common tick-borne illness reported in West Virginia with more than 100 cases per 100,000 WV residents. Ixodes scapularis ticks obtain B. burgdorferi from rodents and transmit Lyme disease to their next host during feeding. We analyzed overall tick biodiversity in north-central West Virginia from the years 2018 to 2023. In total, 1,684 individual ixodid (hard) ticks have been collected from four genera: Ixodes (58.5%), Dermacentor (31.6%), Haemaphysalis (8.7%), and Amblyomma (0.2%). Our results demonstrate an increase in tick biodiversity from 2018 to 2023. One striking change included the presence of Amblyomma americanum (Lonestar) ticks in areas where their presence had not been recorded previously. We examined all collected Ixodes ticks for the presence of Borrelia DNA which was detected through real-time quantitative PCR analysis. We tested 745 Ixodes scapularis and found a 2% infection rate. The potential rise of Lyme disease and changing tick biodiversity could pose threats towards community health, agricultural revenue, and veterinary resources. Future work should focus on additional tick-borne illnesses like Rickettsia sp. and Theileria sp. within central West Virginia tick species.
The Isolation and Characterization of Antimicrobial Compounds Extracted from Rhus typhina.
Authors: Bailey Kaitlyn , Gray Reagan
Published: April 2024

Rhus typhina, a plant native to eastern North America, has previously been discovered to exhibit antibacterial activity against various ESKAPE pathogens including Staphylococcus aureus and Acinetobacter baumannii. The purpose of this work is to separate and purify compounds from the crude extracts using column chromatography, identify the pure compounds using NMR, and examine the therapeutic potential of these compounds on A.baumannii and S.aureus. A.baumannii is a non-motile, gram-negative, pleomorphic opportunistic pathogen and S.aureus is a non-motile, gram-positive, coccus-shaped, opportunistic pathogen; Both bacteria are major causes of nosocomial infections due to their ability to resist multiple antibiotics. As multi-drug resistance becomes more prevalent, there is a growing demand for research on new therapeutic agents. Supporting previous unpublished research from our laboratory, the data here suggest that ethanolic extracts of R.typhina contain compounds that exhibit antibacterial capabilities against both S. aureus and A. baumannii. Ongoing studies are focusing on determining the structure of the antimicrobial chemicals and the mode of action of these compounds.