bluuebunny/crossref_metadata_2025 huggingface dataset:
The Turkish Adaptation Study of the Digital Addiction Scale For Children: A Validity and Reliability Study
Authors: Zengin Hamide , Erbay Özdede Elif , Çınar Nursan
Published: April 2024

Objective: The study was conducted to perform the Turkish validity and reliability study of the Digital Addiction Scale for Children (DASC).
Methods: The study was completed with 259 students (primary school 4th grade, secondary school 5th, 6th, and 7th grades). The research data were analyzed by transferring them to Statistical Package for the Social Science (SPSS) 25 and Amos 22.0.0.0 package programs. In the validity and reliability analyses of the scale, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (Cronbach’s alpha), and test-retest were performed to determine the internal consistency of the factors.
Results: The Kaiser-Meyer-Olkin value was found to be 0.941 as a result of EFA, and the following fit indices were obtained as a result of CFA; χ²/sd: 2.258, (RMSEA): 0.07, Comparative Fit Index (CFI): 0.907, Standardized Root Mean Square Residual (SRMR): 0.049. Cronbach's alpha value of the overall 25-item scale was found to be 0.946. As a result of the test-retest, the Intraclass Correlation Coefficient (ICC) was identified as 0.938 for the overall scale.
Conclusion: It was found that the DASC was a valid and reliable measurement tool that could assess the level of digital addiction in Turkish children aged 9-12.
The Relationship Between Proactive Personality Traits and Professional Values in Final-Year Nursing Students
Authors: Dertli Semiha , Çevik Aktura Seher
Published: April 2024

Aim: This descriptive, relational study investigated the relationship between final-year nursing students’ proactive personality traits and professional values.
Method: The research population consisted of 101 final-year nursing students in the nursing department of a university in eastern Turkey between 10-20 December 2022. The study data were collected online using the participant introduction form, the Abbreviated Proactive Personality Scale and the Professional Nursing Values Scale and analyzed using descriptive statistics, independent groups t-test, Kruskal-Wallis and Pearson correlation test.
Results: The final-year nursing students were found to have an average of 49.53±10.34 and 112.34±15.87 on the Abbreviated Proactive Personality Scale and Professional Nursing Values Scale, respectively, and had a proactive personality and high professional values above the medium level. The study showed that the final-year nursing students who volunteered to become nurses had higher mean scores on the Professional Nursing Values Scale total score and the Professionalism, Activism and Justice subscales, with a statistically significant difference. A moderately significant positive correlation was found between students’ Abbreviated Proactive Personality Scale and Professional Nursing Values Scale mean scores (r=0.477, p<0.001). The research found that as students’ proactive personality increased, so did their professional values.
Conclusion: The study found that students had proactive personalities and high professional values above the moderate level, and as proactive personality traits increased, their professional values also increased. In this regard, developing students’ proactive personality traits and professional nursing values may be recommended, as increasing their awareness and conducting research with larger groups.
Decentralized Dreams - Crafting a Secure and Fair Blockchain Gaming Environment
Authors:   Chandigarh University Mohali, Punjab, Gajrani Anmol
Published: April 2024

This ambitions to discover the potential of blockchain generation in revolutionizing the gaming enterprise through developing a secure and honest gaming environment. This studies assignment delves into the concepts of decentralization, security, and fairness inside blockchain-based gaming systems, focusing on the improvement and essential evaluation of a prototype platform. Keywords: blockchain era, gaming industry, decentralization, safety, equity, prototype platform. Through an intensive literature overview, methodological technique, implementation, and vital analysis, this task investigates the challenges and opportunities in crafting a blockchain-based gaming environment that prioritizes consumer safety, asset possession, and honest gameplay. The results and findings from the implementation phase are analyzed to assess the platform's performance, scalability, and person revel in, supplying valuable insights for future improvements and advancements in blockchain gaming structures. Keywords—Blockchain Technology, Decentralized Gaming, Ownership, In-Game Assets, Smart Contracts, Security Measures, Fairness Mechanisms, User Experience, Scalability, Interoperability, Market Research, Regulatory Compliance, Innovation, Player Engagement, Future Improvements.
Empowering E-Commerce: Navigating the Digital Marketplace with MERN Magic Aman Saini ,
Authors:   Computer Science and Engineering Mohali, Punjab, Saini , Aman
Published: April 2024

This research focuses on crafting an ecommerce platform utilizing the MERN stack (MongoDB, Express.js, React.js, Node.js). In the contemporary era, online retailing has emerged as a pivotal aspect of commercial endeavors. The primary aim of this investigation is to furnish a succinct yet exhaustive examination of the significance of the MERN stack in constructing a flexible and expansible online shopping hub.The article discusses the architecture, key components and benefits of the MERN stack for e-commerce .In addition, the challenges, security aspects and future perspectives of developing e-commerce sites are discussed. By leveraging the MERN stack, businesses can build robust and user-friendly online stores, improving their competitiveness in the digital market. However, the development of e-commerce sites using the MERN stack also poses certain challenges, particularly in terms of security. In today's digital landscape, safeguarding sensitive customer data against the growing tide of cyber threats and data breaches is paramount. It's essential to implement robust security measures, including encryption and authentication, to ensure the protection of valuable information, and access control, is essential to mitigate risks and safeguard user data. Looking ahead, the future of e-commerce development using the MERN stack holds immense promise. Advancements in technology, such as artificial intelligence and machine learning, present opportunities for enhancing personalization, recommendation engines, and predictive analytics in e-commerce platforms. Additionally, the proliferation of mobile devices and the Internet of Things (IoT) offer new channels for reaching and engaging with customers, further expanding the scope and reach of e-commerce. KEYWORDS - HTML, CSS, JAVASCRIPT, EXPRESS.JS, MONGODB, RESTFUL API, JQUERY, BOOTSTRAP, REDUX, NODEJS.
Zenith Armor : Advancing Security with Zero Trust Measures
Authors:   Apex Institute of Technology Chandigarh University Mohali, India, Singh Jaswant
Published: April 2024

In an era of unprecedented digital connectivity and evolving cyber threats, traditional security paradigms have proven insufficient to safeguard sensitive information. This research paper introduces "Zenith Armor," a comprehensive exploration and implementation of Zero Trust Architecture (ZTA) in the realm of cybersecurity. The paper delves into the core principles of ZTA, emphasizing the imperative shift from implicit trust to continuous verification in securing organizational assets. "Zenith Armor" stands as a testament to the evolving landscape of security frameworks, challenging conventional models by prioritizing identity verification, least privilege access, micro-segmentation, and continuous monitoring. The framework not only mitigates the risks associated with unauthorized access but also addresses the lateral movement of threats within a network, enhancing overall resilience. This paper outlines the essential components of Zenith Armor, emphasizing its dynamic risk assessment capabilities, stringent access control policies, and encryption measures for safeguarding data. Additionally, the framework's applicability to diverse devices, coupled with user education initiatives, creates a robust security ecosystem. The implementation extends beyond traditional network perimeters, incorporating adaptive security measures, and continuous updates. Furthermore, "Zenith Armor" recognizes the significance of a proactive approach to security incidents. A well-defined incident response plan, coupled with vendor and third-party access controls, ensures a swift and effective response to potential breaches. The research paper concludes with a reflection on the transformative potential of "Zenith Armor" in redefining organizational security postures. By embracing the Zero Trust paradigm, organizations can fortify their defenses against an ever-evolving threat landscape, thereby establishing a new zenith in cybersecurity resilience. Keywords—delves ,imperative, micro-segmentation,proactive, zenith.v
Revolutionizing Interactive Learning: A Comprehensive Review of Study-Buddy - An EdTech Innovation Built on the MERN Stack Prof. Ms. S.G. Pundkar
Authors: S.G. Prof. Ms.  Pundkar
Published: April 2024

In the domain of education transformation, an innovative EdTech platform redefines the learning experience by seamlessly blending modern technologies. Offering a dynamic interface and secure data handling, this platform enables students and instructors to engage effortlessly. While other EdTech platforms may grapple with complex UI, potentially causing conflicts among learners, the solution addresses this issue with a user-friendly design. Despite being built with the latest MERN stack technology, incorporating secure authentication, and integrating a reliable payment gateway, the platform prioritizes simplicity and accessibility. Whether accessing diverse educational materials, monitoring progress, or facilitating efficient communication, this solution ensures a seamless learning journey. Hosted on a scalable cloud platform, the EdTech solution transcends borders, providing students worldwide with a transformative and accessible educational experience.
Security for Online Banking and Transaction
Authors:   Bachelor of Business Administration  Galgotias University, Uttar Pradesh, Chaudhary Mahima
Published: April 2024

Technological developments have been growing at an alarming speed in the international arena. Internet is proudly one of the best in those. So, the banking sector is also making the best utilization of it. In this study based on ONLINE BANKING, it has been observed that the development of online banking has increased by leaps and bounds during the past few years. Concentrating on the Indian economy, the use of online banking is still in the developing stage. Today in India the scope of online banking is growing by a good decent rise in its usage. The rise in the usage of the Internet is the main criteria for development of online banking. This project helps us understand the how the online banking came into existence and its need in the modern world. It shows us the insights of the online banking in India. It helps us understand the opportunities and the challenges associated with the online banking in India.
Image Morpher
Authors:   Artificial Intelligence and Data Science Department, Shah & Anchor Kutchhi Engineering College, Bangal Satish
Published: April 2024

The "Image Morphing with the Beier-Neely Method" research paper extensively explores image transformation techniques, with a special focus on the Beier- Neely approach. Image morphing, the art of seamlessly transforming one image into another, has garnered significant attention for its applications in animation, filmmaking, and scientific visualization. The research paper delves into the historical context and importance of image morphing, particularly emphasizing the role of the Beier-Neely method in addressing the limitations of earlier techniques. Classical image morphing methods, characterized by pixel-level interpolation, suffer from visual artifacts, manual correspondence definition, and sluggishness. These shortcomings set the stage for the introduction of the feature-based Beier-Neely method, which revolutionized image morphing by allowing control points on features, facilitating smooth transitions and natural transformations. This research papers objectives are clearly articulated, with the primary aim of implementing the Beier- Neely method to produce high-quality image morphs. The research paper proposes a system architecture that underscores the use of feature-based control points, Delaunay triangulation, affine transformations, and the significance of visual feedback. Additionally, it provides a detailed analysis of the mathematical foundations and algorithmic intricacies of the Beier-Neely method, elucidating the theoretical framework driving its effectiveness. Overall, the research paper provides a comprehensive exploration of image morphing techniques, highlighting the pivotal role played by the Beier-Neely method in advancing the field.. Key Words: Image Morphing, Beier-Neely Method, Seamless Transitions, Feature-based Control Points, System Architecture, Mathematical Foundations
Deep Learning-Based Recognition of Plant Leaf Diseases
Authors:   Department of Electronic and Telecommunication ,PREC Loni, India, A.H .Ansari
Published: April 2024

Early and accurate disease detection is crucial for effective crop management. This paper proposes a deep learning-based system for automatic plant disease detection using image processing techniques. Our approach leverages Convolutional Neural Networks (CNNs) to analyze images of leaves. The CNN is trained to identify various diseases based on visual symptoms like black and brown spots, mimicking the methods employed by human professionals. This system offers real-time crop monitoring and eliminates the need for farmers to switch between multiple disease control strategies without proper diagnosis. By analyzing image features, the system automatically categorizes the disease present in a captured image. Our research demonstrates that this approach achieves high accuracy in disease detection, potentially leading to improved crop health and yield. Keywords— Deep learning, Convolutional Neutral Network (CNN),Plant Leaf Diseases Image.
HYGIENE HIVE MONITOR
Authors:   Jai Shriram Engineering College Tirupur, India, R Ms. . Mithuna,
Published: April 2024

In modern days, we desire a healthy and hygiene-friendly environment for our society. We see multiple dustbins with an overflow of waste in urban areas. This situation is created pathogens, which spread diseases in our society. Its affect clean India mission. So, we designed the system aimed at improve the effectiveness and sustainability of waste collection and disposal processes. In this setup, once the dustbin reaches its maximum capacity, a notification containing its live location is dispatched to the corporation. The detection of the dustbin's capacity is facilitated by employing an ultrasonic sensor. Then level of garbage is displayed by LCD and the level is sent to the corporation. This helps the timely collection of garbage. As the rain is fell into the trash can; the stink was affecting our society. The rain drop sensor detects the rain drops; trashcan will be automatically close. This helps to reduce the stench and improves healthy environment. If suppose, after sending the live location notification, the dustbin does not cleaned by workers then the notification sent to the higher authority. Then if the dustbin is empty or less than capacity of 80, message is sent to the corporation (Cleaned). It is helping the higher official, whether the workers are working properly or not. We used an efficient and cheap component to make this project economical. It can be easily understood by the workers. It reduces the overflow of garbage. A system is used to improve our nation. Concluding that the system helping us to save the time, energy, cost, and fuel. Improve the concept of less human and speedup process. Key Words: Ultrasonic sensor, raindrop sensor, IR sensor, IoT, Dustbin
Innovative Solutions for Urban Air Pollution in Delhi/NCR Region
Authors:   University Institute of Engineering, Chandigarh University, Mohali, Punjab, India, Kumar Aniket
Published: April 2024

This research paper delves into the pressing issue of urban air pollution in the Delhi/NCR region and proposes innovative solutions from the perspective of vertical environmental engineering and technology. With the rapid urbanization and industrialization in this region, air pollution has reached alarming levels, posing significant health risks and environmental challenges. The paper begins by analysing the current state of air pollution in Delhi/NCR, highlighting the major sources and contributors to poor air quality. It then explores various innovative solutions that can be implemented to mitigate this issue effectively. These solutions include advanced air purification technologies, vertical gardens and green walls, sustainable transportation systems, smart urban planning strategies, and the integration of renewable energy sources. Furthermore, the paper discusses the feasibility, cost-effectiveness, and environmental impact of these innovative solutions, emphasizing the need for interdisciplinary collaboration and stakeholder engagement. By adopting a holistic approach that combines engineering, technology, and environmental science, this research aims to provide actionable insights and recommendations for policymakers, urban planners, and environmental agencies to combat urban air pollution in the Delhi/NCR region and create a healthier and more sustainable urban environment.
IntelliView: An AI Based Mock Interview Platform
Authors:   Artificial Intelligence and Data Science Department, Shah & Anchor Kutchhi Engineering College, Uparkar Swati
Published: April 2024

The IntelliView initiative represents a pioneering endeavor designed to empower novice job seekers through the integration of state-of-the-art Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies. This platform employs a sophisticated blend of HTML, CSS, JavaScript, and the Deep Face method, introducing a comprehensive framework to redefine interview assessment and augment job application preparation. The primary module facilitates text-based analysis, enabling users to engage with real-time interview questions by entering responses directly into the web interface. Subsequently, advanced algorithms compare users' responses to expected answers, yielding a percentage similarity score and presenting the correct answer. Beyond affording essential interview practice, this feature furnishes constructive feedback, enhancing users' responses and ultimately refining their interview performance. In the second module, IntelliView introduces a dynamic interview environment with video-based analysis. Users respond to inquiries utilizing webcams, enabling the system to meticulously record both verbal responses and facial expressions. Leveraging the Deep Face method, the platform conducts real-time emotion and sentiment analysis, offering users insights into their emotional states throughout interviews. This feedback facilitates the refinement of non-verbal communication skills, empowering candidates to recognize emotional tendencies and adapt interview strategies accordingly. The third module functions as a comprehensive resume builder, employing HTML, CSS, and JavaScript to provide diverse templates tailored to individual needs. In summation, IntelliView heralds a transformative paradigm in job application preparation, seamlessly amalgamating technological advancements and human interaction to equip first-time job seekers with the requisite tools for navigating the competitive job market successfully. Key Words: Interview Assessment, DeepFace, NLP, Text-based analysis, Video-based analysis, Resume Builder
VEHICLE ACCIDENT DETECTION AND RESCUE SYSTEM
Authors:   UG Students, Department of Electronics & Communication Engineering, Sai Rajeswari Institute of Technology, Proddatur, Andhra Pradesh – 516360, M Dharani,
Published: April 2024

The "Vehicle Accident Detection And Rescue System" project is a cutting-edge endeavour focused on revolutionizing road safety standards. It leverages a combination of sophisticated components, including Arduino Nano microcontrollers, nRF24L01 transceivers, GPS sensors, and SIM800 modules, to create a robust communication network among vehicles. This network enables real-time exchange of crucial information such as accidents and road conditions, empowering drivers with timely insights to navigate safely. Moreover, the project integrates an automatic accident detection system that swiftly responds to collisions by triggering emergency calls to predefined numbers like 100 for police and 108 for medical services. Through this seamless integration of technology, the project aims to mitigate accident risks and enhance overall road safety. Furthermore, the project addresses the challenges associated with overtaking manoeuvrers by introducing a feature that allows drivers to request passage through a simple button press. This functionality facilitates smooth communication between vehicles, ensuring safer overtaking experiences for all road users. By amalgamating state-of-the-art technologies with real-time communication capabilities, the project presents a comprehensive solution to optimize traffic management, reduce accident rates, and ultimately enhance road safety standards. KEY WORDS: Arduino Nano, nrf24L01, GSM Module, GPS Module, OLED
ACCIDENT DETECTION AND ALERT SYSTEM
Authors:   Electronics & Telecommunication & P G Moze College of Engineering, Pune, Khedkar Prof. Kiran
Published: April 2024

Speed is a fundamental factor contributing to vehicular accidents, often resulting in tragic loss of life. The prompt arrival of emergency services can significantly mitigate the consequences of such accidents. This project focuses on developing an accident detection system equipped with various components to promptly alert rescue teams when an accident occurs, thereby potentially saving precious human lives. The proposed system is designed to efficiently detect accidents and automatically notify emergency services with the precise location of the incident. It achieves this by accurately capturing the latitude and longitude coordinates of the vehicle involved in the accident and promptly transmitting this critical information to the nearest emergency service provider. The primary objective of this project is to detect accidents swiftly and trigger timely alerts to the rescue team. By leveraging advanced technology and real-time data acquisition, this system aims to enhance the overall effectiveness of accident response mechanisms, ultimately contributing to the preservation of human life on the roadways. Key Words: Accident detection, Sensor network, Vehicle monitoring, Real-time monitoring, Intelligent transportation systems (ITS), Emergency response, Crash detection etc.
Intelligent Video Surveillance System
Authors:   Malnad College of Engineering, Hassan, Karnataka, India, A M Darshan
Published: April 2024

Intelligent Video Surveillance Systems (IVSS) have emerged as critical tools for ensuring safety and security in various environments. This paper presents an IVSS capable of real-time detection and analysis of critical events, including falls and vehicle crashes. The proposed system employs state-of-the-art deep learning techniques, specifically the YOLO (You Only Look Once) object detection algorithm, to analyze video streams obtained from diverse sources such as surveil- lance cameras and recorded videos. For fall detection, the system utilizes the aspect ratio of detected persons’ bounding boxes to distinguish between falls and normal activities. Vehicle crashes are identified by detecting cars in each frame and assessing the proximity and intersection of their bounding boxes. The system operates in a continuous loop, processing video frames in real-time and generating alerts when critical events are detected. Experimental results demon- strate the effectiveness and reliability of the proposed IVSS in enhancing safety and security across different environments, including public spaces, workplaces, and transportation systems.
A REVIEW PAPER ON MODELLING AND 3D PRINTING OF JCB ARM
Authors:   Assistant Professor, Dept. Of Mechanical Engineering, Gurunanak Institute Of Technology, Khanapur,  India., K. Mr. Dayakar
Published: April 2024

The Hydraulic excavator machines are heavy duty earth movers consisting of a boom, arm and bucket. It works on principle of hydraulic fluid with hydraulic cylinder and hydraulic motors. The Hydraulic excavator arm operation require coordinated movement of boom, arm and bucket. The important criteria for the design to be safe is that, the digging forces developed by actuators must be greater than that of the resistive forces offered by the surface to be excavated. The main objective of this paper is to perform design and analysis Excavator Arm for the calculated Force. The CATIA software is used for making the 3D model of the excavator arm linkage. By using ANSYS workbench software analysis of the excavator arm is done at existing digging force and lifting force. Excavator bucket is very crucial element of hydraulic excavator. The whole loads of excavated materials have been carried out by this element. As the present mechanism used in excavator arm is subjected to deformation and bending stresses during lifting and digging operation respectively, because of which failure occurs frequently at the bucket end of the arm. Keywords: Excavator arm, Digging force, CATIA, ANSYS 16.0.
A STUDY ON SERVICE OPERATION MANAGEMENT AT ONSITEGO
Authors: KUMAR S.LOGESH
Published: April 2024

Onsitego, a company specializing in providing comprehensive post-purchase services for consumer electronics and appliances, operates in a highly dynamic and competitive environment where efficiency, quality, and customer satisfaction are paramount. At the heart of its operations lies the discipline of operations management, which encompasses the design, execution, and improvement of the processes that create and deliver the company's services. In this introduction to operations management at Onsitego, we will explore the key principles, strategies, and challenges that shape the company's approach to managing its operations effectively. From supply chain management to service delivery optimization, Onsitego's operations management practices play a crucial role in fulfilling its commitment to providing seamless, reliable, and value-added services to its customers. Let's delve into the intricacies of how Onsitego leverages operations management to drive operational excellence and maintain its competitive edge in the ever-evolving marketplace.
REAL-TIME TRAFFIC LIGHT OPTIMIZATION USING AI AND IOT
Authors:   Department of Computer Engineering, Padmabhooshan Vasantdada Institute of Technology, Pune, India, Phand Aniket
Published: April 2024

In modern cities, the escalating number of vehicles has led to significant traffic issues, affecting road capacity and service quality. Traditional traffic control systems, reliant on fixed signal timers, struggle to adapt to changing traffic dynamics, exacerbating congestion. This paper proposes an innovative approach to traffic management utilizing advanced Computer Vision technology, specifically the YOLOv7 object detection algorithm. By analysing live CCTV footage at intersections, the system dynamically assesses traffic density, identifies vehicle types, and adjusts signal timings in real-time. The system architecture ensures swift processing and response times, with YOLOv7 enabling rapid and accurate vehicle detection. This enables the system to make timely decisions, thereby enhancing overall traffic management efficacy. Leveraging Artificial Intelligence (AI) and Machine Learning techniques, the proposed solution addresses the urgent need for innovative traffic management strategies in urban areas, aiming to alleviate congestion, enhance traffic flow, and reduce environmental impact. Hence, the integration of YOLOv7 technology with adaptive traffic signal switching algorithms represents a promising step towards addressing the complex challenges of urban traffic congestion. Key Words: Computer Vision, Artificial Intelligence, Machine Learning, Traffic Prediction, Adaptive Control, YOLO.
E-MART APPLICATION
Authors:   Asst Prof Department of Computer Science & Engineering & IETE’S Bharat College of Engineering, V Vijaylaxmi Tadkal
Published: April 2024

E-Mart is an innovative application tailored to meet the shopping needs of college students and faculty members, providing a convenient and efficient platform for purchasing essential items. With a user-friendly. For students, E-Mart offers a wide range of products including textbooks, stationery all available at competitive prices. E-Mart aims to save time and resources for both students and faculty members, allowing them to focus more on their academic and professional pursuits. interface accessible via mobile devices and desktop computers. E-Mart serves as a catalyst for a more efficient and vibrant college experience. Key Words: Android studio, Xml, java, Database- SQL, Firebase
Towards Sustainable Packaging Solutions: A Comprehensive Analysis of Industry Trends and Innovations
Authors: Gupta Mimansha
Published: April 2024

The demand for sustainable packaging solutions has surged in recent years, driven by heightened environmental awareness and regulatory pressures. This paper provides a thorough examination of global and Indian packaging industries, focusing on trends, innovations, and challenges in the pursuit of sustainability. Through case studies and examples, it explores how companies are adopting eco-friendly practices to meet consumer expectations and contribute to a greener future.
VisionDrive: Smart Traffic Analysis with YOLOv7 and DeepSORT
Authors: Pimple Jagdish
Published: April 2024

This research introduces a novel vehicle division mechanism intended for dynamic metropolitan settings. Modern technology, including deep learning, computer vision, and real-time warning systems, reduces traffic, enhances road safety, and effectively manages unanticipated situations. A strong vehicle instance segmentation model that can recognize cars in real-time from many sources is first developed using the YOLO technique. In the next round, the cars are tallied and a predetermined threshold is established. If there are more cars in the video or image than a preset threshold, the system will identify this and assume that traffic is heavy. During the last stage, users receive information on congestion analysis and anomaly identification through user-friendly interfaces. This article aims to modernize traffic control by merging cutting-edge technologies with all-encompassing techniques to deliver a responsive, safe, and efficient urban transportation experience. KEYWORDS: YOLOv7, DeepSORT, OpenCV, Object Detection, Multiclass Segmentation, Object Counting.
Di Edebîyata Kurdî de Vekolînek li Ser Têgiha Meyê û Hêmanên Girêdayî Wê -Mînak Dîwana Melayê Cizîrî, Helbestên Feqîyê Teyran, Mem û Zîna Ehmedê Xanî
Authors: Aydın Rozerin , Bulut Kenan
Published: April 2024

Edebîyata klasîk a Rojhilatê gelek têgih û mezmûnên cur bi cur ên wê demê vedihewîne. Ji ber ku têgih an mezmûnên edebîyata wê demê di çaxa îroyîn de xwedî wateyên cur bi cur in, fêmkirina helbestên wê demê hatine nivîsandin jî di çaxa îroyîn de dibe zehmet. Têgiha meyê û hêmanên wê jî li nav van têgihên aloz ên edebîyata Rojhilatê de cih digirin.
Edebîyata Kurdî ya klasîk jî li nav edebîyata Rojhilatê cih digre. Loma taybetîyên vê edebîyatê di nav xwe de dihewîne. Ji ber vê sedemê di serî de ji bo fêmkirina helbestên Melayê Cizîrî, Feqîyê Teyran û Ehmedê Xanî û helbestvanên din ên edebîyata Kurdî divê ewilî bên zanîn ku ev têgihên ku behsa wan hatine kirin bi çi maneyan tên bikaranîn
Armanca vê gotarê dahûrînek e li ser têgiha meyê û hêmanên girêdayî wê yên ku di Dîwana Melayê Cizîrî, helbestên Feqîyê Teyran û Mem û Zîna Ehmedê Xanî de xwedî cihekî berfireh in. Ji bo vê armancê di gotarê de ewilî behsa nav û taybetîyên meyê û pêşveçûna dîroka wê hatîye kirin. Dûv re di dîroka mirovayîyê, edebîyat û tesewufê de li ser merheleyên guherîna wateyên meya mecazî û heqîqî hatîye rawestan. Piştî vê jî ji ser nîşandana ravek û têkilîyên helezonîk ên li ser meyê û hêmanên sereke yên wê ve terza bikaranîna her sê helbestvanan hatîye analîzkirin. Di dawîya xebatê de jî bi awayekî berawirdî wekhevî û cudahîyên terza bikaranînên Melayê Cizîrî, Feqîyê Teyran û Ehmedê Xanî li gel van têgahan hatîye pêşkêşkirin
Amerikan Board Misyonerlerinin Antep’teki Faaliyetleri
Authors: Karaçay Çelik Yaşam
Published: April 2024

Faruk Taşkın, 2015 yılında “Kendi Kaynaklarında Amerikan Board’ın Türkiye’deki Sağlık Faaliyetleri (1833-1923)” tezi ile doktorasını tamamlamış ve incelemede bulunacağımız “Amerikan Board Misyonerlerinin Antep’teki Faaliyetleri 1848-1920” isimli kitap çalışmasını 2022 yılında okurların beğenisine sunarak yayımlamıştır.

Yazar Faruk Taşkın’ın bu eseri ön söz ve giriş bölümü ile başlamış ve altı ana başlık hâlinde düzenlenmiştir. Söz konusu altı ana başlık kendi içerisinde alt başlıklara bölünerek konular detaylandırılmış ve nihayetinde sonuç ve kaynakça belirtilerek eser 240 sayfa şeklinde sonlandırılmıştır.

Yazar, eserin ön sözünde geniş sınırlara sahip olan ve bu sınırlar içerisinde farklı kültürleri barındıran Osmanlı Devleti’nin misyoner faaliyetlerine açık bir hale geldiğine değinerek Osmanlı topraklarında faaliyet gösteren ve Amerikan Board olarak bilenen misyoner örgütünün Osmanlı coğrafyasında din, eğitim, sağlık ve yayın faaliyetlerinde ve özellikle gayrimüslim nüfusun yoğun olarak yaşadığı bölgelerde etkili olduğunu ifade etmiştir. Yazar bu çalışma ile Amerikan Board’ın Gaziantep’teki faaliyetleri kapsamında teşkilatın kurduğu kilise, hastane ve eğitim kurumlarını konu edinmedeki gayeyi belirttikten sonra daha önce yazar tarafından yapılan araştırmaların yeniden değerlendirilerek yeni belge ve kaynaklar ışığında misyonun Antep’teki farklı çalışma sahalarının ele alınacağını belirtmiştir.

Yazar, eserin ön sözünde geniş sınırlara sahip olan ve bu sınırlar içerisinde farklı kültürleri barındıran Osmanlı Devleti’nin misyoner faaliyetlerine açık bir hale geldiğine değinerek Osmanlı topraklarında faaliyet gösteren ve Amerikan Board olarak bilenen misyoner örgütünün Osmanlı coğrafyasında din, eğitim, sağlık ve yayın faaliyetlerinde ve özellikle gayrimüslim nüfusun yoğun olarak yaşadığı bölgelerde etkili olduğunu ifade etmiştir. Yazar bu çalışma ile Amerikan Board’ın Gaziantep’teki faaliyetleri kapsamında teşkilatın kurduğu kilise, hastane ve eğitim kurumlarını konu edinmedeki gayeyi belirttikten sonra daha önce yazar tarafından yapılan araştırmaların yeniden değerlendirilerek yeni belge ve kaynaklar ışığında misyonun Antep’teki farklı çalışma sahalarının ele alınacağını belirtmiştir.
"ROGANTE" YÖNTEMİ: ÖĞRENME SÜRECİNİN VERİMLİ ORGANİZASYONU İÇİN YENİ BASİT BİR YÖNTEM
Authors: Rogante Massimo , Santelli Claudio
Published: April 2024

En uygun öğrenme sonuçları, öğretilen konu öğrenci tarafından hatasız bir şekilde tanımlandığında, anlaşıldığında ve başarıldığında gerçekleşir. Bireysel bir öğrenme süreci, öğrenci tarafından kendi kendine ilham vererek ve doğal zihinsel süreçler yoluyla kendi yeteneklerini de dâhil ederek geliştirilmelidir. Bir öğrenme aracı olarak hizmet eden motivasyon ve ilgili fırsatlara ek olarak, çalışmanın ilk yazarı, öğrenme için motivasyon ve ilgiye ek olarak yeni bir yöntem geliştirmiş ve diğer yazar ise öğrenme ve hafızanın nörobiyolojisiyle ilgili önemli bilgiler sağlamıştır. Bu deneyimler, öğrenme deneyimlerini daha etkili hale getirmek için kullanılabilir.

Bu yazıda, öğrenme ve çalışma planlaması ile ilgili mevcut bazı yöntemlerin gözden geçirildiği bir giriş bölümü sunulduktan sonra, yıllardır başarıyla denenmiş yeni ve basit bir yöntem sunulmuştur. Böyle bir yaklaşımın; öğrenme, sınavları başarıyla geçme, çalışılan teknik ve kültürel bilgilerin kalıcılığını sağlama ve edinilen bilgi zenginliğini gelecekteki profesyonel yaşamda verimli bir şekilde uygulama gibi temel amaçlara ulaşmak için geçerli olduğu kanıtlanmıştır.
Autoridad de la comprensión.
Authors: Herranz Diego
Published: April 2024

A la hora de impulsar los comportamientos sostenibles necesarios para realizar la transición energética se ha comprobado que los estímulos económicos no siempre son los adecuados, incentivos desde las normas sociales a veces son mucho más efectivos. En este artículo se recoge un experimento que pone a prueba la eficacia de la norma social en la contratación de energías renovables. Se ha realizado un experimento de economía conductual en el que se confirma que existen sesgos relacionados con la autoridad y confianza basadas en la explicación y comprensión del proceso complejo por el que las empresas organizan el servicio de distribución de energías de fuentes renovables. La confianza que otorga la explicación del complejo proceso de suministro es tan fuerte que supera a la que puede otorgar la inclusión de una institución externa que supervisa el proceso.
Thriving by Design: Can Behavioral Economics and Public Policy Shape Virtuous Lives?
Authors: Hortal Alejandro
Published: April 2024

ABSTRACT

Drawing on behavioral economics, nudges (policy interventions based on choice architecture) have the capacity to strategically shape policymaking, subtly guiding individual behavior by adjusting their decision environment. Applied to enhance vaccinations, boost retirement savings, or promote healthy habits, these interventions align with consensus-defined well-being. As governments adopt nudges, scholars have explored their role in fostering virtues. This paper argues that nudges have the potential to efficiently contribute to virtuous development by instilling and sustaining habits, respecting individual choice, and ensuring deliberation. It introduces the concept of virtue nudges, emphasizing the alignment of habits with virtues for targeted behavioral change and the formation of morally virtuous habits.
Santa Claus is coming!
Authors: Correa Herrejon Mauricio Andres
Published: April 2024

This research delves into the "seasonal fixed bonus" phenomenon in Mexico, Spain, the United States, and Canada, examining how employees prefer receiving payments during the Christmas season or evenly distributed throughout the year. Two hypotheses explore biases arising from bounded rationality: Hypothesis 1 suggests Mexican/Spanish workers may resist receiving the bonus dispersed throughout the year, while Hypothesis 2 posits American/Canadian workers may resist a reduction in monthly payments for a seasonal bonus. Using a utopic international competition, the study reveals that Mexican/Spanish participants exhibit a preference for end-of-year rewards, partially supporting Hypothesis 1, whereas American/Canadian participants lean towards immediate rewards, partially supporting Hypothesis 2. Statistical significance is found in Mexico and Spain, aligning with mental accounting principles, while the U.S. and Canada show similar trends but lack significance. This implies a potential status quo bias among American and Canadian workers regarding seasonal bonuses.
HİLE DENETİMİ KAPSAMINDA MÜŞTERİ HİLELERİNİN TESPİTİ
Authors: Yaylalı İpek
Published: April 2024

Dünyada yaşanan muhasebe ve denetim skandallarının piyasaları derinden sarsacak noktaya ulaşmış olması, hilelerin ne denli önemli olduğuna işaret etmektedir. İş dünyasında meydana gelen yenilikler, değişimler ve koşullardaki farklılıklar kontrollerin önemli bir paya sahip olduğunu ve denetim işlemlerinin mesleki tecrübeye dayanılarak gerçekleşmesi ve her alana özgü denetim ekipleriyle birlikte yürütülmesi gerekliliğini ortaya koymaktadır. Özellikle son yıllarda işletmelerde artan hilelerin tespiti konusunda hile denetime verilen önem giderek artmaktadır. Bu çalışmada amaç, işletmeleri derinden sarsan hile çeşitlerinden biri olan müşteri hilelerin ne olduğu, nasıl meydana geldiği ve işletmelerde nasıl tespit edilmesi ve ne şekilde önlenmesi gerektiği konuları üzerinde durulmuştur. Çalışmanın birinci bölümünde hile kavramları ve özellikleri, ikinci bölümde hile denetimin kavramı, önemi ve hile denetiminde uygulanan teknikler, üçüncü bölümde müşteri hilelerin değerlendirilmesi yapılmıştır. Son bölümde ise hile denetiminde müşteri hilelerinin tespitine ilişkin temel bilgilere yer verilmiştir.
PELATIHAN PENGOLAHAN LIMBAH ORGANIK MELALUI SISTEM ECO-ENZYME (ECO-FERMENTOR) DAN EMBER TUMPUK ( KOMPOSTER) DI DESA KAMPUNG DURIAN, ACEH TAMIANG
Authors: Fitriani Fitriani , Alfajar Beni , Mardina Vivi , Friska Meiliana , Fajri Rahmatul
Published: April 2024

Permasalahan terkait sampah hingga saat ini belum juga kunjung tuntas dan akan terus mengalami peningkatan. Sampah rumah tangga merupakan salah satu penyumbang terbesar limbah organik di tempat pembuangan akhir (TPA). Megingat Desa Kampung Durian merupakan lokasi tempat pembuangan akhir sampah maka perlu dilakukan pelatihan dan pendampingan pada masyarakat, khususnya Ibu PKK dan Pemuda kreatif desa Kampung Durian dalam mengolah limbah organik melalui sistem Eco-Enzyme (Eco-Fermentor) dan Ember tumpuk ( Komposter) dengan bantuan lalat hitam (Hermetia illucens) pada skala besar nantinya. Pemberdayaan ini diharapkan dapat memperluas inovasi dan meningkatkan peran masyarakat dalam upaya membantu mengurangi limbah organik di TPA. Metode yang digunakan dalam kegiatan ini yaitu metode pendekatan secara langsung, praktik, dan ceramah. Metode pendekatan dilakukan dengan mendata permasalahan yang dihadapi oleh mitra mengenai pengolahan limbah organik. Metode ceramah dilakukan dengan memberikan informasi kepada mitra tentang keunggulan dan manfaat penggunaan eco-enzyme dan ember tumpuk dengan bantuan lalat hitam (Hermetia illucens) dalam mengolah limbah. Metode praktik dilakukan dengan memberikan pelatihan dan pendampingan pembuatan eco-enzyme dan ember tumpuk. Berdasarkan hasil survey setelah dilakukan pelatihan dan praktik langsung di lapangan mengenai pembuatan Eco-Enzyme dan Ember Tumpuk menunjukkan bahwa tingkat pemahaman masyarakat meningkat drastis yaitu sebesar 90% . hal ini dapat dilihat dari jumlah persentase masyarakat yang menyatakan sangat tahu dalam pembuatan Eco-Enzyme dan Ember Tumpuk. Pelaksanaan program mampu memberikan pemahaman dan pelatihan mengenai pembuatan Eco-Enzyme dan Ember Tumpuk dalam pengolahan limbah organik sehingga mampu menekan jumlah sampah
PENERAPAN PRODUK OLAHAN IKAN NILA DI DESA UTEUN DAMA KECAMATAN PEUREULAK
Authors: Bahri Widodo Syamsul , Arif Adlie Taufan , Syntia Rita , Harmin Amalia , Amir Fazri
Published: April 2024

Kegiatan pengabdian masyarakat ini bertujuan untuk memberdayakan warga Desa Uteun Dama dengan memanfaatkan potensi ikan nila dari waduk, yang akan diolah menjadi ikan asap dan ikan asin dengan nilai ekonomis yang tinggi. Kegiatan ini dilaksanakan di Desa Uteun Dama, Kecamatan Serbajadi, Kabupaten Aceh Timur, Provinsi Aceh.Salah satu tantangan yang dihadapi oleh masyarakat Desa Uteun Dama adalah kurang efisiennya proses pengolahan ikan asap dan ikan asin karena masih menggunakan metode konvensional. Oleh karena itu, tujuan utama dari kegiatan ini adalah merancang dan membuat sebuah alat pengasapan ikan yang dapat menghemat waktu pengasapan sekaligus menjamin kehigienisan produk yang dihasilkan. Metode kegiatan ini terdiri dari beberapa tahap, yaitu persiapan, pelaksanaan, pemantauan, dan evaluasi. Kegiatan pengabdian melibatkan mahasiswa KKN Tematik, dosen, serta mitra dari Desa Uteun Dama. Proses pembuatan alat pengasapan ikan dan rak pengering ikan asin dimulai dengan tahap perancangan dan pembuatan alat.Setelah itu, masyarakat Desa Uteun Dama akan diajari cara menggunakan alat pengasapan ikan ini, yang menggunakan tempurung kelapa dan mampu mengasapi ikan nila sebanyak 5 kg.Hasil dari kegiatan ini tidak hanya berupa penguatan pemahaman masyarakat mengenai manfaat ikan nila dalam menciptakan nilai ekonomi dan lapangan kerja baru, tetapi juga mencerminkan kepuasan masyarakat terhadap penggunaan alat pengasapan dan pengering ikan yang mampu menghemat waktu yang diperlukan.
IMPEMENTASI KEGIATAN KULIAH KERJA NYATA (KKN) TEMATIK DI DESA MATANG PEULAWI KABUPATEN ACEH TIMUR
Authors: Abdul Rachman Nazaruddin , Harmin Amalia , Arif Zainal , Kamil Taufiq , Furqan Hidayah Luthfi , Hafiez Lagalgarin Alnanda , Nurhidayah Rifah , Trisman Yanti Alfina , Chelvia Chyndi , Cahyani Sri , Saleysia Aziza Nanda , Nur Jihan Ami
Published: April 2024

Universitas Samudra sangat mendukung pelaksanaan kampus merdeka belajar seperti yang diinstruksikan oleh Kemendikbud. Khususnya Fakultas Teknik telah mengupayakan pencapaian kurikulum merdeka belajar sebagai wujud implementasi kampus merdeka, salah satunya melalui program KKN tematik/membangun desa. Mahasiswa merupakan generasi muda yang memiliki intelektual dan semangat yang tinggi dan harus mampu memberi andil terhadap masalah pembangunan bangsa dan negara. Dalam kegiatan ini mahasiswa dapat mengembangkan rasa kepekaan dan solidaritas terhadap masyarakat sebagai makhluk sosial dalam membantu proses pembangunan. KKN-Tematik adalah salah satu program Pengabdian pada Masyarakat yang telah dilakukan oleh mahasiswa Fakultas Teknik Universitas Samudra. Pelaksanaan kegiatan dilakukan bertempat di Desa Matang Peulawi yang berada di kecamatan Peureulak, Kabupaten Aceh Timur, provinsi Aceh, Indonesia. Secara geografis Desa Matang Peulawi terletak pada bagian utara Kuala Bugak atau pun pada bagian barat Pasir Putih yang merupakan bagian dari Kabupaten Aceh Timur. Termasuk ke salah satu Desa pemasok ikan kecamatan Peureulak. sok ikan kecamatan Peureulak.
PENGEMBANGAN POTENSI DESA DAN PENINGKATAN PENGELOLAAN HASIL TAMBAK MELALUI KKN TEMATIK DI DESA ALUE DUA MUKA O, ACEH TIMUR UDUL
Authors: Nadya Yusri , Handayani Nurlaila , Yusnawati  , Neneng MB Ipak , Rasidin  , Nufus Hayatun , Rahman Awalu , Juleha Siti , Syahrizal Teuku , Pamungkas Iqbal , Sutrisna Ahmadi , Dalimunthe Nurliana , Elviana  , Ramaidani  , Latifah Siti
Published: April 2024

Kuliah Kerja Nyata (KKN) Tematik merupakan bentuk pengabdian mahasiswa kepada masyarakat yang diarahkan pada permasalahan sosial dan pembangunan di wilayah tertentu. Artikel ini membahas KKN Tematik Fakultas Teknik Universitas Samudra di Desa Alue Dua Muka O, Aceh Timur, yang bertujuan untuk mengembangkan potensi desa, mengatasi permasalahan, dan melatih softskill mahasiswa. Masyarakat desa mengandalkan sektor nelayan dan petani tambak ikan dan udang, namun menghadapi berbagai masalah seperti penurunan produksi tambak, kondisi pantai yang buruk, kurangnya peran pemerintah dan masyarakat, pemetaan tambak yang tidak jelas, kualitas pemasaran rendah, dan ketergantungan pada penjualan langsung. Oleh karena itu, program KKN ini bertujuan untuk meningkatkan kesejahteraan masyarakat melalui peningkatan pengelolaan hasil tambak, pelatihan pembuatan produk olahan, pembuatan pakan ikan berbahan alami, sosialisasi teknologi, perawatan mesin aerator, pemetaan lahan tambak, dan analisis keuntungan penjualan. Hasil capaian program menunjukkan peningkatan dalam pemahaman dan keterampilan masyarakat dalam mengelola tambak, pemasaran produk olahan, dan pemeliharaan mesin aerator. Artikel ini mencakup metode pelaksanaan, masalah yang diidentifikasi, program kerja, dan capaian program. Program KKN Tematik ini bertujuan untuk memberikan kontribusi positif terhadap masyarakat di Desa Alue Dua Muka O.