bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Impact of Adapted Physical Education toward Physical Activity Intentions, Social Inclusion, and Positive Learning Environment among Students with Disabilities
Authors: Zulkifli Ahmad Fahim , Yussof Rozlyna
Published: April 2024

This study is designed to investigate the role of adapted physical education (APE) toward physical activity (PA) intentions, social inclusion, and a positive learning environment among people with disabilities (PWDs). This study involves a qualitative study approach involving a group of participants (i.e., 25 participants; mix-genders with an age range between 3 and 27 years old) comprised of students registered with the Wonder PPDK in central Selangor Malaysia. The qualitative approach in this study utilised a series of questions and answers through drawings to gain insights from the participants’ perspectives on the intervention. The drawings were analysed collectively between authors to identify common pictorial phenomena through features such as lines, colours, images, and space. This study found that APE provided an avenue for the participants to engage in complex thinking through appropriate-planned activities, shift from self-oriented towards engagement with others, and experience a sense of freedom which translated into a feeling of comfort in APE. Besides that, the participants suggest that APE helped them to feel happier and more desire to contribute something meaningful to their peers or people around them. Our work answers the questions regarding the role of APE towards nurturing self-efficacy in PWDs while also highlighting the need to address the current shortcomings of APE, particularly in the Malaysian context. Additionally, future studies should consider longer periods of intervention, a higher number of participants, and additional approaches or instruments to solidify the current understanding of how APE can be used as an agent of change for PWDs.
Thinking Sustainability through the Earth-Eco-Socialist Paradigm
Authors: Ojomo Philomena Aku
Published: April 2024

Safeguarding our environment, which is home to both humans and nonhumans, is imperative to prevent widespread negative impact. The urgency for collaborative efforts to maintain the earth’s well-being is underscored by the escalating environmental crises worldwide. This paper posits that the environmental degradation we witness is significantly occasioned by capitalist practices that exploit both human and nonhuman entities. It critiques the classical free-market approach as insufficient for fostering environmental sustainability. In contrast, the paper advocates for “Earth-eco-socialism,” a model it champions as conducive to harmonizing human-nature relations. This model diverges from the capitalist fixation on perpetual material growth and environmental exploitation, which undermines the potential for meaningful existence for many. Earth-eco-socialism is grounded in the conviction that development and social progress must address social issues and environmental challenges simultaneously, through legislation and democratic processes, without compromising human needs. This approach merges ethical considerations with ecological stewardship, promoting cooperative environmental management, flexible environmental legislation, and its rigorous enforcement. The conclusion underscores the imperative of embracing the Earth-eco-socialist framework for our interactions with nature and one another, as a pathway to achieving environmental sustainability.
Nghiên cứu xây dựng công cụ học máy dự báo nhiệt độ đầu ra cấp 1 và cấp 2 của máy nén khí cao áp
Authors: Trần Ngọc Trung , Nguyễn Thành Trung , Nguyễn Duy Minh , Đào Quang Khoa , Trần Vũ Tùng , Hoàng Kỳ Sơn
Published: April 2024

Máy nén khí là thiết bị quan trọng trên giàn xử lý trung tâm PQP-HT. Khí tự nhiên, sau quá trình khử nước và đảm bảo nhiệt độ điểm sương theo điều kiện và thông số kỹ thuật đầu vào đường ống dẫn khí Nam Côn Sơn (NCSP), được chuyển đến hệ thống nén khí bao gồm 2 dây chuyền máy nén khí. Việc tối ưu hóa điều kiện vận hành bằng cách giảm áp suất đầu vào của hệ thống xử lý khí tự nhiên được sử dụng để nâng cao hiệu quả sản xuất của các mỏ khí. Tuy nhiên, việc thay đổi điều kiện vận hành đầu vào ảnh hưởng trực tiếp đến hệ thống máy nén khí khi áp suất đầu vào giảm và nhiệt độ đầu ra của máy nén khí có thể tăng lên vượt quá ngưỡng vận hành an toàn.
Để tính toán ảnh hưởng của việc thay đổi điều kiện vận hành của máy nén khí lên nhiệt độ đầu ra của từng giai đoạn, thường sử dụng phần mềm mô phỏng nhiệt động lực học thương mại (như Hysys, ProII). Từ đó, có thể mô phỏng và chọn điều kiện làm việc tối ưu, đảm bảo an toàn cho hệ thống xử lý khí tự nhiên. Tuy nhiên, chi phí cấp phép và duy trì phần mềm thương mại cao. Ngoài ra, các thuật toán học máy hiện đại được chứng minh có thể dự báo các thông số vận hành dựa trên dữ liệu lịch sử. Nhiều nghiên cứu đã tìm cách dự báo chính xác hiệu suất của máy nén, nhằm cải thiện hiệu quả của các hoạt động vận hành. Thuật toán học máy có ưu điểm là kết quả dự báo có độ chính xác cao, mô hình có thể hoạt động liên tục và tự động tái học khi thay đổi điều kiện vận hành. Do đó, các mô hình học máy có thể được sử dụng làm phương án thay thế phần mềm mô phỏng nhiệt động lực học thương mại.
Nghiên cứu xây dựng thuật toán lập kế hoạch cho công tác bảo trì, bảo dưỡng
Authors: Đào Quang Khoa , Trần Ngọc Trung , Nguyễn Thành Trung , Trần Vũ Tùng , Hoàng Kỳ Sơn , Ngô Hữu Hải
Published: April 2024

Sử dụng dữ liệu thu thập từ ứng dụng quản lý bảo trì thiết bị, Công ty Điều hành Dầu khí Biển Đông (Bien Dong POC) đã nghiên cứu khả năng áp dụng thuật toán di truyền để hỗ trợ công tác lập kế hoạch cho công tác bảo trì bảo dưỡng, từ đó khai thác được năng lực tính toán nhanh của máy tính, rút ngắn thời gian lập kế hoạch, đảm bảo tối ưu hóa nguồn lực, cũng như đảm bảo sự thống nhất trong quá trình lập kế hoạch và tổ chức thực hiện. Kết quả nghiên cứu cho thấy việc áp dụng thuật toán di truyền giúp lập kế hoạch chính xác với độ khớp cao, xử lý được các yêu cầu về tiến độ, mức độ ưu tiên và nguồn lực cho từng mã công việc, trong khi thời gian tính toán được rút ngắn đáng kể so với cách làm truyền thống. Trên cơ sở nghiên cứu, có thể thiết lập các công cụ tự động áp dụng thuật toán này để hỗ trợ nghiệp vụ lập kế hoạch bảo dưỡng giúp nâng cao hiệu suất và độ chính xác của quy trình quản lý bảo trì, bảo dưỡng, đặc biệt là tại các cơ sở sản xuất quy mô lớn.
Drying Performance and Economic Analysis of a Greenhouse Solar Dryer for Tomatoes
Authors: King’ori Eric , Simate Isaac N.
Published: April 2024

Purpose: The purpose of this study was to assess the drying performance and economic feasibility of a Greenhouse Solar Dryer for Tomatoes. With a focus on small-scale tomato drying, the study aimed to evaluate the effectiveness of the greenhouse in comparison to traditional sun drying methods. Additionally, the economic analysis sought to determine the investment attractiveness of the greenhouse dryer by considering the initial investment, operational costs, and potential revenue generation.
Methodology: The methodology involved conducting drying experiments using the Greenhouse Solar Dryer for Tomatoes under existing weather conditions. The dryer's components include the steel frame, greenhouse plastic cover, and concrete floor. The temperature and relative humidity contributed to the environment inside the greenhouse that facilitated the drying process. Moisture content measurements were taken at regular intervals to assess the drying kinetics and effectiveness of the greenhouse. Economic analysis was conducted to evaluate the project's financial viability, considering initial investment, revenue generation, and operational costs.
Findings: The findings revealed that the Greenhouse Solar Dryer outperformed sun drying methods, achieving higher temperatures and faster drying times for tomatoes. Specifically, the greenhouse reached maximum temperatures of 38.4 °C and 45.5 °C on the first and second days, respectively, leading to a moisture content of 14.9% wet basis within 11 hours on the second day. In contrast, sun drying resulted in a significantly higher moisture content of 37.9% at the same time, highlighting the effectiveness of the greenhouse. Economic analysis demonstrated that the project had a payback period of 1.6 years, indicating its attractiveness as an investment opportunity for farmers.
Unique Contribution to theory, practice and policy: This study makes a unique contribution to knowledge by providing empirical evidence of the drying performance and economic viability of a Greenhouse Solar Dryer for Tomatoes. By demonstrating the effectiveness of the greenhouse in achieving faster drying times and lower moisture content compared to sun drying methods, the study underscores the potential of solar drying technologies in small-scale agricultural settings. Additionally, the economic analysis offers valuable insights into the financial feasibility of adopting greenhouse dryers, particularly for farmers seeking to enhance their income through value-added tomato products.
Analysing the efficiency of Indian non-life insurers : A two-stage fuzzy closed system DEA approach
Authors: Raj K. Kapil , Srinivasan S. , Nandakumar C. D.
Published: April 2024

This paper adopts a two-stage fuzzy closed system Data Envelopment Analysis (DEA) to assess the efficiency of India’s non-life insurance industry. The framework of marketability and profitability’s sub-processes is evaluated in two stages, with the first stage considering three inputs and three outputs, and the second stage considers the outputs of first stage as inputs and assuming three different outputs as variables for 12 different non-life insurers (both public and private) which are a basis of secondary information from Insurance Regulatory and Development Authority of India for the period of FY 2015 to 2020. Our findings reveal the individual efficiency measure for marketability and profitability sub – processes of the selected non-life insurance firms functioning in India.
A penalty method for linear programming
Authors: Menniche Linda , Benterki Djamel , Merikhi Bachir
Published: April 2024

A logarithmic penalty method for linear optimization problem with a new approximate function is analyzed. The function addressed makes it possible to offer a displacement-step without major difficulties. We consider some numerical results which show the superiority of this approach versus line search methods.
Algebraic spectral analysis of the locating degree matrix of a graph
Authors: Zeyada N. , Saleh A. , Alzahrani Khalil A.
Published: April 2024

In this article, we present a new graph matrix based on locating degree, we call it the locating degree matrix. The spectrum and energy related to this new matrix are established for certain classes of graphs. Bounds of the new related energy for a special type of regular graph are obtained.
Efficient one-parameter family of conjugate gradient methods
Authors: Khelladi Samia , Benterki Djamel
Published: April 2024

We present an efficient one-parameter family of conjugate gradient methods for unconstrained optimization problems. These methods are defined using a combination of the Polak-Ribiere-Polyak method and the Rivaie-Mustafa-Ismail-Leong method. We prove the global convergence based on the Wolfe line search for nonlinear objective functions. Finally, we give some numerical experiments, proving the efficiency of the proposed approach.
Semantic Web of Things for pollution measurement and validation interoperability using AI Techniques
Authors: Malik Nikita , Malik Sanjay Kumar , Jain Vanita
Published: April 2024

In response to the growing IoT device diversity, efforts are underway to better integrate data, applications, and services. The Semantic Web, known for its simplicity in integration, has the potential to improve data interpretation and interoperability. In this research, a pollution management model is used, combining the Semantic Web of Things (SWoT) and Artificial Intelligence (AI), to create smarter cities, providing real-time environmental information. The dataset has been sourced from Aarhus City, Denmark, and the study outlines Semantic Web Technologies (SWTs) in IoT frameworks, including common ontologies for IoT-based architecture. The dataset’s relationship between various gases/pollutants is analyzed using correlation matrix. Machine learning methods like Multi-Layer Perceptron (MLP) with Sigmoid, ReLU, Tanh, Maxout, Swish hybrid activation functions are employed, with results assessed using Root Mean Squared Error (RMSE) and Mean Squared Error (MSE). A comparison of errors for different activation functions is also performed and the findings reveal good results when comparing actual and predicted values in the proposed model.
Photonics for AI and AI for photonics integration : Materials and characteristics
Authors: Sharma Sunil , Tharani Lokesh
Published: April 2024

Photonics and artificial intelligence (AI) are two rapidly advancing fields that have the potential to revolutionize various technological domains. This paper explores the convergence of photonics and AI, focusing on the integration of photonics for AI applications and the utilization of AI techniques for advancing photonics technology. Paper explores the materials used in photonics for AI systems, highlighting their unique characteristics and advantages. Additionally, examine how AI methodologies such as machine learning and neural networks are applied in optimizing photonics systems, enhancing their sensitivity performance and enabling novel functionalities. Through this exploration, results obtained provide sensitivity analysis and refractive index calculation of twin core photonic crystal fiber (PCF). The synergistic relationship between photonics and AI and its potential implications for advancing information and optimization sciences is also presented.
Solar wireless electric vehicle charging system
Authors: Kumar Raj , Farooq Mohammad , Mishra Shalabh Kumar , Sharma Sandeep , Airan Ashima , Soni Ashu
Published: April 2024

vehicles (EVs) are increasingly prevalent on roads today. These vehicles have demonstrated their effectiveness to minimize travel costs through transitioning from traditional fuel sources to electricity, that is notably more cost-efficient, alongside the associated environmental benefits. The primary aim is to implement a charging system that accommodates extended vehicle usage by applying higher charging rates for prolonged periods. Presently, the prevailing charging infrastructure for EVs involves conductive methods where the vehicle connects to a charging station; however, this process typically takes longer. Advancements in technology are introducing wireless charging solutions. Inductive EV charging, a wireless alternative, eliminates the need for physical wires. This innovative approach proposes charging electric vehicles while they are in motion, eliminating the necessity for vehicles to stop for refueling. Notably, this charging mechanism operates on solar energy, obviating the requirement for an exterior source of power. The system-design encompasses the utilization of various components such as batteries, transformers, solar panels, copper coils, regulator circuits, ATmega328p controllers, AC to DC converters, and the LCD.
Survey on Anti Sleeping Glasses
Authors: Namithadevi N N  , Chandana K  , Rakshith H K  , Nisarga V Gowda  , Krupa K
Published: April 2024

An innovative solution to address the critical issue of drowsiness-related accidents by introducing Anti-Sleeping Glasses (ASG) integrated with artificial intelligence (AI) technology. The proposed system aims to enhance user safety by detecting signs of drowsiness and alerting individuals in real-time, thus preventing potential accidents caused by impaired alertness. The drowsiness alert for driver project marks a significant step toward creating a safer and more secure driving environment. By leveraging cutting-edge technology, this system has the potential to make a lasting impact on road safety, emphasizing the importance of proactive measures in preventing accidents caused by driver fatigue. The successful implementation of such technology has the potential to save lives, reduce injuries, and minimize the economic impact associated with road accidents.
CredChecker:-Credit Card Fraud Detection WebApp
Authors: Rohit Pandey  , Rakesh Panigrahi  , Hritik Mishra  , Adarsh Mishra  , Vaishali Bhusari
Published: April 2024

The proposed app will serve as a crucial tool for detecting and managing credit card fraud, focusing on high-risk areas such as densely populated urban centers. The primary objective is to minimize financial losses incurred due to fraudulent activities. A key advantage lies in its seamless integration with financial institutions and law enforcement agencies, facilitating efficient collaboration between users and relevant authorities in case of suspected fraud incidents. This integration is pivotal in achieving the app's fundamental mission of delivering real-time fraud alerts, including transaction details, potential fraudulent activities, and recommended actions. The application will feature advanced functionalities tailored for individual users to enhance their awareness and preparedness against fraudulent transactions. These tools empower users to set up personalized fraud detection plans, allowing them to proactively monitor their accounts and swiftly respond to suspicious activities. To ensure the reliability and promptness of information, the app will leverage a combination of cuttingedge technologies, including machine learning algorithms and real-time data processing.
Car Accident Detection and Alert System
Authors: Prof. V. M. Umale  , Mr. Shivam Mendhe  , Mr. Yash Hiwanj  , Mr. Hariom Nile
Published: April 2024

Due to the high death and property damage rates from traffic accidents, road safety is a serious problem. This study suggests a novel traffic accident detection and warning system in response to this difficulty, with the goals of enhancing prompt response and minimizing damage. This system is made up of many different parts, such as an energy sensor, accelerometers, Arduino microcontrollers, GPS modules, and GSM modules. Combining these characteristics allows the system to differentiate between minor and severe occurrences, recognize and categorize collisions according to impact severity, and detect overturned vehicles. The system notifies designated projects in the precise accident zone of any serious accidents detected. The process includes developing algorithms, designing hardware, and implementing the system. Thorough testing is then done to assess the system's dependability and performance. The outcomes demonstrate how well the suggested approach works for precise accident detection and quick emergency response. This research uses technology to lessen the effects of traffic accidents and save lives, which advances road safety legislation.
IoT-Based Virtual Primary Clinic: Remote Patient Monitoring and Consultation System
Authors: Prof. V. M. Umale  , Mr. Yash Tote  , Mr. Toshalkumar Narkhede  , Mr. Atharv Bokade  , Ms. Madhura Nikam
Published: April 2024

Using Internet of Things technology, the Virtual Primary Clinic project is a cutting-edge healthcare endeavor that enables remote patient monitoring and consultation. The project collects essential health metrics including body temperature, oxygen saturation, heartbeat, and ECG signals by integrating a variety of sensors, including NodeMCU ESP32, SpO2, DHT11, and AD8232 ECG. The information collected by these sensors is sent via API to a specially created website and an online platform called ThingSpeak. With features including patient registration, appointment scheduling, access to medical histories, and doctor-patient contact, the website acts as a comprehensive interface between patients and physicians. Patients can register on the website, provide their medical information, and get medications sent to them remotely based on their conditions. However, without having to see patients in person, doctors can examine patient data, diagnose ailments, and write prescriptions or offer medical advice.The Virtual Primary Clinic project intends to improve healthcare accessible, especially in remote or underserved locations, by enabling remote monitoring and consultation. In addition to providing healthcare providers with an effective platform for remote patient care, it gives patients the ability to take charge of their health. This project is a major step toward using cutting-edge IoT-based technologies to improve patient outcomes and democratize healthcare.
Fisherman Border Crossing Alert System using IoT
Authors: R Ramesh  , B Raveena  , CH Ravali  , MD Abdulnabi  , B Raju
Published: April 2024

The Fisher Man Border Crossing Alert System is a innovative solution designed to enhance the safety and security of fishermen operating near maritime borders. The system integrates real-time tracking technology with border surveillance data to provide timely alerts to fishermen when they approach or cross maritime borders. Fishermen are forced to accidently cross borders where they run the risk of being murdered or captured. It is difficulty in identifying the marine borders between countries. The system is intended to prevent such accidents and to warn fisherman about border areas in advance. Maximum risks occur for fishermen in situations where they travel on a boat for fishing. In some situations, they should not move after some point and they should not enter into other countries area. It can be extensively used by people in the Sea border to find the path to reach the destination. The notification will be sent to the border security forces which act as the server to all other devices that are operated by people in ships. The fishermen crosses the sub border then the warning signal is given to both the countries and alarm is indicated to fisher men
IOT Based Automated Hydroponics System for Precision Agriculture
Authors: Mrs. S. Kavitha  , Mr. Sivabalan  , Mr. K. Pahalavan  , Mr. Boominathan  , Mr. R. Logeswaran
Published: April 2024

Growing plants hydroponically can be a great option for plants that are traditionally hard to grow in soil due to specific requirements. The aim of this work is to design and construct an indoor automatic vertical hydroponic system that does not depend on the outside climate. The designed system is capable to grow common type of crops that can be used as a food source inside homes without the need of large space. The design of the system was made after studying different types of vertical hydroponic systems in terms of price, power consumption and suitability to be built as an indoor automated system. A microcontroller was working as a brain of the system, which communicates with different types of sensors to control all the system parameters and to minimize the human intervention. An open internet of things (IoT) platform was used to store and display the system parameters and graphical interface for remote access. The designed system is capable of maintaining healthy growing parameters for the plants with minimal input from the user. The functionality of the overall system was confirmed by evaluating the response from individual system components and monitoring them in the IoT platform
Yoga and Stress Management: The Impact on Health
Authors: Anurag Jain  , Dr. Chandan Kumar Mohpatra
Published: April 2024

This study aims to explain the significance and importance of Yoga in our daily lives. People in the global village or science and technology age work tirelessly to sustain and improve their lives. They are individuals of all socioeconomic backgrounds who strive for social and peaceful living. Anxiety, pressure, tension, and despair are examples of stressors. Stress is a bad energy or difficult challenge that all beings must manage. Stress management is considered a significant factor for happiness and success in today's society. It creates a variety of physical. Stress management is considered a significant factor for happiness and success in today's society. Individuals experience a range of physical and mental symptoms, which vary depending on their situation. Stress management offers several strategies to reduce anxiety and promote general well-being. Yoga is the most effective strategy to manage stress through smart techniques.
Marsch voor de Burger-Compagnie, De Zwarte Knegten
Authors: Vulto Renée
Published: April 2024

Marsch voor de Burger-Compagnie: De Zwarte Knegten, te Utrecht. Text: Jacobus Bellamy; music: Frederik Nieuwenhuysen. Utrecht: J. van Vloten, 1784. 
Een nieuw lied op de Oegstgeestsche Vrolykheid
Authors: Vulto Renée
Published: April 2024

Een nieuw lied op de Oegstgeestsche Vrolykheid. Op de Vois: Een braave Jaager voelt geen Kouw. S.n.s.l., 1783.
De klagende Vrouw van een Granadier, onder ‘t Vry-Corps, voor Vryheid en Vaderland, te Leiden
Authors: Vulto Renée
Published: April 2024

De klagende Vrouw van een Granadier, onder ’t Vry-Corps: voor Vryheid en Vaderland, te Leiden. Stem: O! Zon aan ‘s Hemels Trans. In: De van den hemel afgebeeden, […] nog bloeiënden Oranje-Boom; […], s.l.: s.n., 1788.
Een nieuw lied, Op ’t Vertrekken van alle de Weezen
Authors: Vulto Renée
Published: April 2024

Een Nieuw Lied Op ‘t Vertrekken van alle de Weezen. Wys: ’t Is thans slegt gesteld. S.n.s.l., ca. 1811. 
De Schreiende Menschheid bij ‘t beschouwen der Gruweldaaden van de Engelschen en Russen
Authors: Vulto Renée
Published: April 2024

De Schreiende Menschheid bij ‘t beschouwen der Gruweldaaden van de Engelschen en Russen. In: Uitgezochte Verzameling van Vaderlandsche Gezangen, ten gebruike van ’t Bataafsche Volk […], s.l.: s.n., 1799.
Politics of Feeling in Songs of the Dutch Revolutionary Period: lyrics
Authors: Vulto Renée
Published: April 2024

Full lyrics of the songs discussed in R. Vulto, 'Politics of Feeling in Songs of the Dutch Revolutionary Period' (Amsterdam University Press, 2024). One pdf-file, the songs are listed in alphabetical order. 
A Low Carbon Proof-of-work Blockchain
Authors: Gemajli Agron , Patel Shivam , G. Bradford Phillip
Published: April 2024

Proof of Work (PoW) blockchains burn a lot of energy. Proof-of-work algorithms are expensive by design and often only serve to compute blockchains. In some sense, carbon-based and non-carbon based regional electric power is fungible. So the total carbon and non-carbon electric power mix plays a role. Thus, generally PoW algorithms have large CO2 footprints solely for computing blockchains. A proof of technology is described for replacing hashcash or other PoW methods with a lottery and proof-of-VM (PoVM) emulation. PoVM emulation is a form of PoW where an autonomous blockchain miner gets a lottery ticket in exchange for providing a VM (virtual Machine) for a specified period. These VMs get their jobs from a job queue. Managing and ensuring, by concensus, that autonomous PoVMs are properly configured and running as expected gives several gaps for a complete practical system. These gaps are discussed. Our system is similar to a number of other blockchain systems. We briefly survey these systems. This paper along with our proof of technology was done as a senior design project.
Evaluate Blockchain – Based Marketing Platforms by AHP Topsis Approach
Authors: Nguyen Phan-Anh Huy , Ha Huyen
Published: April 2024

This paper delves into the profound influence of blockchain on the field of marketing, an arena that has undergone significant transformation in the wake of the digital revolution. The amalgamation of digital and physical domains has given rise to a dynamic and intensely competitive environment for marketers, prompting a reevaluation of strategies and tools. Despite the promising prospects, the research landscape surrounding blockchain-based marketing platforms remains in its nascent stages. This paper seeks to bridge this gap by identifying crucial criteria for evaluating such platforms, transcending conventional measures. The study employs the AHP-TOPSIS approach, a hybrid methodology combining the Analytic Hierarchy Process (AHP) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The overarching objectives encompass the identification, evaluation, and ranking of criteria and sub-criteria pertinent to blockchainbased marketing platform. This paper contributes not only a comprehensive overview of blockchain's distinctive features and its potential applications in marketing but also presents a systematic framework for platform selection. By emphasizing criteria beyond traditional financial metrics, the study addresses a critical void in the current literature, providing valuable insights for marketers, researchers, and practitioners navigating the dynamic intersection of blockchain and marketing. In conclusion, this research illuminates the transformative potential of blockchain technology in marketing, offering practical guidance to industry stakeholders in a landscape increasingly shaped by digital innovation and competition.
Automating Test Scripts for Android UI Testing
Authors: Turner Jessica , Bowen Judy
Published: April 2024

The Espresso capture/replay testing tool for Android applications creates tests that are prone to test fragility, in that when small changes occur to the user interface, tests break and are unable to be re-run. To reduce the fragility and its impact inherent in Espresso tests, we take a modeldriven development approach to test generation. Using interaction sequence models as the basis for generation, we are able to create test scripts that can be run in Android Studio identically to manually recorded tests. This process simplifies scripts when compared with those generated by recording and reduces the time required by developers to create and maintain the test suite, resulting in higher quality testing and validation of Android user interfaces.
In-Context Learning for Scalable and Online Hallucination Detection in RAGS
Authors: Albanese Nicolò Cosimo
Published: April 2024

Ensuring fidelity to source documents is crucial for the responsible use of Large Language Models (LLMs) in Retrieval Augmented Generation (RAG) systems. We propose a lightweight method for real-time hallucination detection, with potential to be deployed as a model-agnostic microservice to bolster reliability. Using in-context learning, our approach evaluates response factuality at the sentence level without annotated data, promoting transparency and user trust. Compared to other prompt-based and semantic similarity baselines from recent literature, our method improves hallucination detection F1 scores by at least 11%, with consistent performance across different models. This research offers a practical solution for real-time validation of response accuracy in RAG systems, fostering responsible adoption, especially in critical domains where document fidelity is paramount.
Cybernetics and the Origin of Life; The Origin of Matter and Black Holes
Authors: Soliman Gihan
Published: April 2024

Since abandoning Linnaeus' Kingdom Minerals as a living system, the philosophy of science has been fragmented into specialities and knowledge domains that fail to communicate across, effectively. Between the living and the so-called non-living systems, as well as social organisations, the value of Cybernetics as a reconciliatory medium tawards a theory of everything has never been more significant. Each to their own jargon, biases and conflicting perspectives, cross-disciplinary science communication has become almost futile. Sciences claiming to present objective views, such as the famous E=mc^2, present the reality in flat linear formulas, while living systems are five dimensional, three dimensions representing the objectivity of situations, and spacetime which is the ‘here and now’, then the position of the observer, representing the perspective of the time in space or the space in time of the observation; without the position of the observer, even the third dimension cannot be realised, let alone the dimension of spacetime. This paper postulates the origin of life and matter from a Cybernetic perspective, uniting the laws of physics, and the Big bang theory with the String Theory. E=mc^2 as popularly presented, fails to refer to the role of information in the inter-reversibility of energy and matter. Information according to the theory of information is a message, a sender and a receiver and therefore requires an observer. Overlooking the role of the observer, therefore, is overlooking the role of information in system processes, presenting only a flat snapshot of reality. This paper explores the origin of life, conservation of matter, dark matter, and the fabric of spacetime while postulating a theory of everything from a Cybernetic perspective.
Prediction of Gender and Handedness from Offline Handwriting using Convolutional Neural Network with Canny Edge Detection
Authors: D. Acula Donata , C. Algarne John Angelo , D. Lam Jasmine Joy , O. Quilaman Lester John , D. Teodoro Leira Marie
Published: April 2024

Handwriting classification based on a writer's demographics, such as gender and handedness, has been an essential discipline in forensic science and biometric security. Although there are already experts in forensic science called Forensics Document Examiners, their work can be affected due to a lack of efficiency and the risk of human errors. As there are only limited studies on handwriter demographics problems using Convolutional Neural Networks (CNN), this research implemented a system that predicts the gender, handedness, and combined gender-and-handedness of offline handwritten images from the IAM Handwriting iDatabase 3.0 using 2-Layer and 3-Layer CNN with Canny Edge Detection (CED). The researchers found that the base model 2L-CNN without CED had the best performance in the binary classes, gender, and handedness, with an overall accuracy of 68.5% and 89.75%, respectively. On the other hand, 3L-CNN without CED had the best average accuracy of 51.36% in the combined gender-and-handedness class. It was observed that Canny Edge Detection is not an effective preprocessing technique in handwriting classification as it worsened its counterpart’s performance, without CED, in most of the models.
Privacy-Preserving IoT Intrusion Detection: Challenges and Solutions in Implementing the CSAI-4-CPS Model
Authors: Silva Hebert , Moraes Regina
Published: April 2024

The CSAI-4-CPS model leverages federated learning to collaboratively train machine learning models, providing accurate and up-to-date results while preserving data privacy. This approach is particularly beneficial in complex and dynamic Cyber-Physical Systems (CPS) environments where traditional centralized machine learning models may fall short. This paper presents the first validation of the CSAI-4-CPS model using a framework implemented for an IoT system and describes the new features of its expanded version. Real-time threat detection, consideration of false positives, and verification and validation of results on nodes that benefit from federated learning are among these new capabilities. It also compares the results obtained with and without the model. IoT systems often represent the most challenging scenarios in CPS cybersecurity, and in most cases, IoT devices are part of a more complex CPS structure, where they are usually the most vulnerable assets. The application of CSAI-4-CPS to predict malicious traffic in Internet of Things (IoT) networks appears promising. The results demonstrate that the model effectively detects intrusions in these datasets. By employing federated learning and a self-adaptive architecture, the model maintains its accuracy and relevance as new data emerges.
Predicting Diabetes with Machine Learning Analysis of Income and Health Factors Detection
Authors: Horestani Fariba Jafari , Owrang O M. Mehdi
Published: April 2024

This study, explores the intricate interplay between diabetes risk and a plethora of health indicators, with a special emphasis on the economic dimension of income, leveraging data from the 2015 Behavioral Risk Factor Surveillance System (BRFSS). We examine the influence of various health factors—such as blood pressure, cholesterol, BMI, and lifestyle choices like smoking—on diabetes prevalence, with a novel focus on the role of income. Through comprehensive statistical and machine learning analyses, we delineate how socio-economic status correlates with diabetes, revealing that lower income groups exhibit a higher risk of the disease. Notably, our findings underscore the significant predictive power of income, alongside traditional health metrics, in diabetes incidence. The inclusion of income as a variable provides new insights into the socioeconomic gradients affecting health outcomes and highlights the potential for tailored public health interventions. Our research contributes to the growing body of evidence that socioeconomic factors, particularly income, are critical in managing and understanding diabetes risk, offering a broader perspective for public health strategies aimed at mitigating diabetes prevalence.
The Synthetic Cannabinoids
Authors: Keski Cengizhan
Published: April 2024

Synthetic cannabinoids are defined as psychoactive substances that trigger the endocannabinoid system. They are largely used as narcotics, although some of their effects are used for therapeutic purposes. In the last decade, recreational use in Europe and the United States has increased more than other psychoactive substances. In Turkey it is called "Bonzai" or "Jamaica".
In addition, a stronger effect than cannabis, affordability, easy accessibility and freedom from standard drug testing contribute to the increasing use of synthetic cannabinoids.
In this article, we will examine the structure and toxicology of synthetic cannabinoids and review the diagnosis and treatment of synthetic cannabinoids in the light of current literature.
Eğitim ve Öğretim Alanında Çalışılan Çatışma Yönetimi Konulu Lisansüstü Tezlerin Sistematik Analizi
Authors: İşbilici Halil İbrahim , Bilgivar Orkun Osman
Published: April 2024

Öz
Araştırmanın amacı, eğitim ve öğretim alanında, Yükseköğretim Kurumu Ulusal Tez Merkezinde erişime açık olan 2000 ile 2022 yılları arasında yapılmış olan çatışma yönetimi konusundaki 95 lisansüstü tezi incelendi. İlgili tezlerin, analizleri yapıldı ve metodolojik açıdan incelendi. Sistematik bir derleme çalışması olan bu araştırmada ilgili tezler, yayınlandığı yıllara, anahtar kelimelere, yayın yapılan üniversitelere, örneklem gruplarına, örneklem yöntemlerine, örneklem büyüklüğüne, danışmanların akademik unvanlarına, anabilim dallarına, hazırlandıkları yöntemlere, model aldıkları örnekleme, araştırmaya aldıkları örneklem gruplarına, örneklem büyüklüğüne, veri toplama araçlarına göre incelendi. Gerçekleştirilen araştırmada 2014 ve 2015 yıllarında 22 tez çalışması ile daha fazla tez çalışması yapıldığı görülmektedir. En az sayıda tez çalışması ise sadece bir tez ile 2006 ve 2022 yılları arasında hazırlanmıştır. Devlet Üniversiteleri ve Vakıf Üniversiteleri nitelik açısından karşılaştırıldığında ise “çatışma yönetimi” ile ilgili olarak vakıf üniversitelerinde 48 tez ile daha fazla çalışma yapıldığı görülmektedir Tezlerin hazırlanmasında nicel yöntemin daha sık tercih edildiği; en az tercih edilen yöntemin ise nitel yöntem olduğu görülmektedir. Tezlerin hazırlanmasında basit tesadüfi örneklemenin daha sık tercih edildiği anlaşılmaktadır. Veri toplama araçlarından ise sıklıkla ölçeklerden yararlanılmıştır. En az seviyede ise grup görüşmesinden faydalanılmıştır. Anahtar kelimeler analiz edildiği zaman “öğretmen”, “okul” ve “yönetim” kavramları ön plana çıkmaktadır. “Eğitim Yönetimi” konusunda 75 tez ile daha fazla sayıda çalışma yapıldığı görülmektedir.
Suriye Uyruklu Öğrencilerin Türk Eğitim Sistemine Uyum Süreçlerinin Ailelerinin Bakış Açısıyla Değerlendirilmesi
Authors: Noyan Kurnaz Merve , Kesten Alper
Published: April 2024

Öz. Bu çalışma Türk okullarında eğitim gören ve Sosyal Bilgiler dersini takip eden Suriye uyruklu öğrencilerin Türk eğitim sistemine uyumları sürecinde karşılaştıkları problemleri tespit etmek, öğrencilerin uyum düzeylerinin hangi seviyede olduğunu ve hangi çalışmalarla nasıl desteklendiğini Sosyal Bilgiler dersinin kültürel sürekliliğe etkisiyle ilişkilendirerek birtakım sonuçlara erişmek amacıyla hazırlanmıştır. Alanyazında Suriye uyruklu öğrencilerin uyum süreçlerini konu edinen birçok çalışmanın olmasına karşın bu araştırmada görüşmelerin katılımcıların ikamet ettikleri yerlerde bire bir ve yüz yüze yapılması ve kendi ana dillerinde gerçekleşmesi çalışmanın özgünlüğüne dikkat çekmektedir. Nitel araştırma yöntemine başvurularak hazırlanan bu çalışmada durum çalışması deseni kullanılmış olup maksimum çeşitlilik örnekleme ve benzeşik/homojen örnekleme yöntemlerinden yararlanılmıştır. Muhtemel katılımcı grubu oluşturulurken bu yöntemler takip edilmiş olup çalışma grubunun son şekline bu doğrultuda karar verilmiştir. Çalışmanın verilerine Adana Seyhan Merkez İlçe’de yaşayan Suriye uyruklu 18 aile ile yapılan görüşmeler neticesinde ulaşılmıştır. Katılımcılarla yapılacak görüşmeler için araştırmacı açık uçlu sorulardan oluşan görüşme formunu geliştirmiş olup elde edilen verileri betimsel analize tabi tutarak değerlendirmiştir. Betimsel analiz yapılırken veriler belli başlı kategorilere ayrılmış ve bulgular da bu doğrultuda düzenlenmiştir. Çalışmada elde edilen bulgular ışığında Suriye uyruklu çocukların ve ailelerinin Türkiye’de belli başlı sorunlarla karşılaştıkları, dil, toplumsal kabul ve eğitim problemleri yaşadıkları, Türkçe öğrenmek noktasında birtakım zorlukları aşmak durumunda kaldıkları ve destek almadıkları zamanlarda bu durumun üstesinden pek de gelemedikleri, eğitime erişimleri önünde birtakım bariyerlerin olduğu ve bu bariyerleri aşmak için iletişim kurdukları bireylerin yardımına ihtiyaç duydukları, Türk eğitim sistemine entegre olabilmeleri için yapılan uyum çalışmalarının sayısının ve niteliğinin yetersiz kaldığı sonuçlarına ulaşılmıştır.
Kanuni Sultan Süleyman Türbesi Çinilerinde Yer Alan Tam Üsluplaştırılmış Çiçekler: Hatayi, Penç ve Goncagül
Authors: Karaca Nursel
Published: April 2024

Türk süsleme sanatları, yüzyıllar boyunca din ve inançların yön vermesi ve gelenek ve göreneklerin de etkisiyle üsluplaştırılmış ve olağanüstü estetik bir niteliğe ve son derece zengin bir yapıya kavuşmuştur. Türk süsleme sanatlarının en köklü alanlarından biri olan Türk çini sanatı da bu süreçte bünyesine her dönemde yenilikler katarak gelişimini sürdürmüş ve tarihi boyunca eşsiz örnekler ortaya koyarak günümüze kadar ulaşmıştır. Uygurlarla başlayan çini sanatı Anadolu’ya Selçuklular eliyle gelmiş, o dönemde çok güzel örnekler sunulmuştur. Osmanlı döneminde ise olağanüstü bir gelişme göstererek doruk noktasına ulaşmış ve üstün nitelikte eserler ortaya konmuştur. Süsleme sanatlarında desenin en temel unsuru motiftir. Türk süsleme sanatlarında varlıklar doğada oldukları şekilde taklit edilmemiş, üsluplaştırma yoluna gidilmiştir. Süsleme sanatlarında çiçek grubu geniş bir repertuvara sahiptir. Çiçekler de tam ve yarı usluplaştırılmış şekilde kullanılmışlardır. Bunlardan ‘Hatayi Grubu’ denilen hatayi, penç ve goncagül tam üsluplaştırılan çiçeklerdir. Klasik dönem İstanbul hanedan türbelerinden Kanuni Sultan Süleyman Türbesi, devletin çini sanatı da dahil olmak üzere her alanda zirve yaptığı 16. yüzyılda saltanatta olan ve batılı tarihçiler tarafından “Muhteşem”, “Büyük Türk” ve “Kanuni” şeklinde adlandırılan Kanuni Sultan Süleyman’a ait olması ve Mimar Sinan’ın en önemli mezar anıtı olması nedeniyle sanat tarihimizde mutena bir yere sahiptir. Türbenin giriş revakı ve iç mekanının duvarları 16. yüzyıla ait eşsiz İznik çinisi panolarla bezenmiştir. Bu çalışmada, Türk çini sanatında ve özellikle de Klasik dönem çinilerindeki desenlerde çok yoğun biçimde kullanılan tam üsluplaştırılmış motifler olan hatayi, penç ve goncagül motifleri, Sultan Süleyman’ın Mimar Sinan yapısı olan türbesi örneğinde incelenecektir.
Akademik Başarısı Yüksek Öğrencilerin Sahip Oldukları Değerler ve Kişilik Özellikleri: Öğrenci, Veli ve Öğretmen Üçgeninde Sekizinci Sınıf Öğrencilerine Yönelik Durum Çalışması
Authors: Özcan Nurcan , Keskin Yusuf
Published: April 2024

Araştırmada, akademik başarısı yüksek sekizinci sınıf öğrencilerinin sahip oldukları değerler ve kişilik özellikleri; kendileri, velileri ve öğretmenleri boyutunda tespit edilmeye çalışılmıştır. Çalışma, Kocaeli ilinin İzmit ilçesinde bir devlet ortaokulunda, akademik başarısı yüksek sekizinci sınıf düzeyinde öğrenim gören üç öğrenci, bu öğrencilerin üç aile bireyi ve dört ders öğretmeni ile yapılmıştır. Nitel araştırma yöntemlerinden örnek olay (durum çalışması) kullanılarak yarı yapılandırılmış görüşme formlarıyla veriler elde edilmiştir. Verilerin analizinde betimsel analiz ve nitel içerik analizi kullanılmıştır. Yapılan analizler sonucunda akademik başarısı yüksek öğrencilerin; öğrenci, öğretmen ve veli söylemlerine göre çalışkanlık, duyarlılık, saygı, sevgi, sorumluluk gibi değerlere sahip oldukları; öğretmen söylemlerine göre kendini ifade edebilen, mükemmeliyetçi, özgüveni yüksek, sosyal, terbiyeli; veli söylemlerine göre mütevazı ve rekabetçi olmayan kişilik özelliklerine sahip oldukları görülmüştür. Ayrıca akademik başarısı yüksek öğrencilerin, saygı, sevgi değerlerinden ve empati, alçak gönüllü olma, ileri görüşlü olma gibi kişilik özelliklerinden taviz vermedikleri sonucu elde edilmiştir. Eğer bu değer ve kişilik özelliklerinden taviz verirlerse kendilerinde; derslerinde başarısız olma, güvenirliğini kaybetme, kendini kötü hissetme gibi değişimlerin olacağını; çevrelerinde ise insanlar üzerinde olumsuz etki bırakma, başarılı olsa bile başarılı gözüyle bakılmayacağı gibi değişimlerin olacağı ifade edilmiştir. Akademik başarısı yüksek öğrenciler, başarısız öğrencilerin; başarısız çevre edinme, geleceklerine yatırım yapmama gibi eylemlerinin; duyarsızlık, öğrenmeye isteksizlik gibi tutumlarının ve kendilerini geliştirmeme gibi becerilerinin olduğunu belirtmişlerdir. Akademik başarısı yüksek öğrenciler; merhametsiz, saygısız, sorumsuz, tembel ve yalan söylemek gibi değerlerin ve dağınık olma, vicdansız olma gibi kişilik özelliklerinin kendilerinde olmadığını, eğer bu özellikleri olsaydı aile ve arkadaşları ile aralarının kötü olacağını, kalplerinin kırılacağını ve üzüleceklerini ifade etmişlerdir.
Kadın Sanatçıların Gözünden Türk Mitolojisi: Selma Gürbüz, Canan Şenol ve Can Göknil
Authors: Doğan Özcan Çiğdem , Kızılırmak Çekinmez Buse
Published: April 2024

Mitolojik öğeler, sanatın tarih boyunca evrensel bir dil olarak kullanıldığı önemli bir tema olmuştur. Mitolojik hikâyeler, tanrılar, kahramanlar, yaratıklar ve efsaneler, sanatçılara derin anlamların, sembollerin ve tarihsel bağlamın ifadesi için bir zengin bir anlatım dili sunar. Bu öğeler, insan deneyimini, insan doğasını ve evrensel temaları ele alırken aynı zamanda farklı kültürlerin değerlerini ve inançlarını yansıtır. Antik mitolojiden alınan öğeler, zamanın üstesinden gelebilmekte ve modern sanatta hala ilgi çekici bir şekilde kullanılmaktadır. Araştırma kapsamında ele alınan Selma Gürbüz, Canan Şenol ve Can Göknil’in eserlerinde kullandıkları Türk mitolojik imgelerinin anlatımları incelenecektir. Bu üç kadın sanatçı, farklı dönemlerde ve farklı sanatsal yaklaşımlarla çalışmış olsalar da Türk mitolojik öğelerini eserlerinde kullandıkları gözlemlenmiştir. Araştırmanın amacı, bu sanatçıların mitolojik öğeleri nasıl yorumladıklarını, bu öğelerin sanatlarındaki rolünü ve bu ortak temanın sanatsal ifade üzerindeki etkileri incelemektir. Sanatçılar, Türk mitolojik imgeleri eserlerinde kullanarak evrensel anlamların, sembollerin ve kültürel değerlerin ifadesini birleştirirler. Selma Gürbüz, Canan Şenol ve Can Göknil'in eserleri, farklı dönemlerde ve yaklaşımlarla, Türk mitolojisinin zengin anlatımını sunar.