bluuebunny/crossref_metadata_2025 huggingface dataset:
Behavioral Risk Measurement: Empirical Evidence From NYSE
Authors: DEMİR Sezgin , ÜNLÜ Mustafa
Published: June 2023

This study aims to create a risk measure based on systematic investor behavior. For this purpose, as an alternative to the classical risk measure, volatility, the empirical validity of the downside risk measure, which includes skewness and kurtosis values, was tested. Standard deviation, skewness, and kurtosis differences are used to explain the returns of portfolios created using data from stocks listed on the New York Stock Exchange (NYSE) between 1982 and 2020 depending on different risk concepts. Risk definitions are based on the previous period's skewness and kurtosis coefficients of stock returns. Based on the determined measures, stocks are classified according to their risk level. The relationship between returns and risk measures was examined by regression analysis. According to the results, negative skewness did not provide a higher return than positive skewness. In addition, a higher kurtosis value did not provide higher returns than a lower kurtosis value. As a result, the concept of risk, which represents the loss of the investor, emerges as a result of irrational systematic investor behavior and can be modeled with the skewness coefficient of the return distribution. However, taking a risk in this sense does not promise a reward.
Efeitos do jejum intermitente na saúde humana
Authors: Ribeiro Werlys Araujo , Borges Lucas Sena dos Santos , Locatelli Claudriana
Published: June 2023

Objetivo: Descrever quais são os efeitos do jejum intermitente à saúde humana. Métodos: Revisão integrativa com recorte temporal entre 2018 a 2022. Utilizou-se como questão norteadora da pesquisa: Quais os efeitos do jejum intermitente à saúde humana? O levantamento bibliográfico ocorreu de junho a julho de 2022, as buscas foram realizadas nas bases de dados SCIELO, LILACS, MEDLINE e PUBMED, por meio dos descritores: Jejum Intermitente; Restrição Alimentar; Restrição Calórica; Comportamento Alimentar. Resultados: Foram selecionados 64 artigos. Deste total, foram excluídos: 4 por duplicidade e 48 por não atender os critérios. A amostra final totalizou 12 artigos, expostos através de quadros. Considerações finais: O jejum intermitente apresentou vantagens em perda de peso, melhora metabólica, diminuição da resistência à insulina e diminuição de resposta inflamatória. O número de estudos do tipo clínico foi bastante reduzido nos últimos cinco anos, portanto, são necessários mais estudos para avaliar a eficiência e segurança do jejum intermitente.
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Authors: A Anandh
Published: June 2023

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Authors: A Anandh
Published: June 2023

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Authors: A Anandh
Published: June 2023

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High Availability and Fault Tolerance in AWS
Authors:   Principal, Dept. of Computer Science and Engineering Sri Sairam College of Engineering, Bangalore, India, B Shadaksharappa
Published: June 2023

With the increasing adoption of cloud computing, ensuring high availability and fault tolerance has become paramount for organizations. Amazon Web Services (AWS) offers a robust infrastructure for hosting applications, but it requires careful architectural design and implementation to achieve desired levels of availability and fault tolerance. This research paper explores two innovative concepts, namely Cloud Fractal and Decentralized Replication and Orchestration, and their application in achieving high availability and fault tolerance in AWS. We present a comprehensive analysis of these concepts and provide practical guidelines for their implementation in real-world scenarios. Our findings demonstrate the effectiveness of Cloud Fractal and Decentralized Replication and Orchestration in enhancing the reliability and resilience of AWS deployments. Keywords: Fault Isolation, High Availability, Load Balancing, Auto-scaling, Disaster Recovery, Data Replication, Backup and Restore, Fault Tolerance, Cloud Computing, Amazon Elastic Compute Cloud (EC2), Amazon Relational Database Service (RDS), Amazon Simple Storage Service (S3), AWS Elastic Load Balancer (ELB), Complexity, Operational Management, Cloud Fractal, AWS Lambda, Amazon SQS, Decentralized Replication and Orchestration (DOI).
Addressing the challenges of handling missing data in Data science applications
Authors:   Asst. Professor, Department of CSE Sri Sairam College of Engineering, Anekal, Bengaluru, India, V Shobha , Sahu Mahima , Chaudhary Mahesh , Priya Manu
Published: June 2023

Missing data is a common issue in data science applications that can significantly impact the accuracy and reliability of data analysis and modeling. This paper explores the challenges associated with missing data and presents various approaches and techniques to effectively handle missing data in data science applications. We discuss both traditional statistical methods and advanced machine learning techniques that can be employed to address missing data. Additionally, we highlight the importance of understanding the underlying mechanisms causing missingness and the implications it has on data analysis. Through this paper, we aim to provide a comprehensive overview of the existing methods and methods for dealing with missing data, offering insights into their practical applicability and future research directions in this field.
Image Processing
Authors:   Assistant professor,Department of CSE Sri sairam College of engineering Research  scholar in PES university, A Suguna , B V Dinesh ,   Department of CSE Sri sairam College of engineering Anekal, S C Nithin , N S Adarsh
Published: June 2023

Image processing entails altering an image's composition to enhance its graphical content for human interpretation and autonomous machine perception. Digital image processing is a subset of the electronic domain in which an image is transformed into a collection of tin y numbers, or pixels, that reflect a physical property, like s cene radiance, are stored in a digital memory, and are then processed by a computer or other digital hardware. Two key application areas have sparked interest in digital i mage processing techniques: improving pictorial information for human interpretation and processing image data for storage, transmission, and representation for autonomous machine perception. Boundaries are described by edges, and as edge detection i s one of the most challenging image processing tasks, it is an issue of fundamental significance .
Applications of Machine Learning in Medicine
Authors:   Dept. of Computer Science and Engineering Sri Sairam College of Engineering, Bangalore, India, B Suhas , A Manoj , H S Vinay
Published: June 2023

As medical data and information technologies advance, an increasing number of practitioners are recognizing or planning to use artificial intelligence. Radically alter medical practice through the use of cutting-edge machine learning techniques. Research is now being done to determine how machine learning and predictive analysis might be used to tailor individual therapies. In order to create a medical model that can rapidly and reliably forecast new data, machine learning must first learn a large quantity of medical data and investigate the dependencies in data concentration. This allows for the early detection of diseases and the support of therapeutic decisions. Clinical medicine must continue to identify and treat severely ill emergency patients quickly while dealing with a relative paucity of medical resources. The age of big data has made clinical demands and thoughtful medical treatment generate demand. The solution to the fore mentioned challenges lies in the assistance supplied by machines.
ASTROPHYSICS
Authors:   Assistant professor, Department of S&H, Sri Sairam college of Engineering, Bengaluru, V Prakash , R Dharanishwari , LM Jayashree , pavani Boya
Published: June 2023

Astrophysics is a branch of space science that applies the laws of physics and chemistry to seek to understand the universe and our place in it. The field explores topics such as the birth, life and death of stars, planets, galaxies, nebulae and other objects in the universe. The Astrophysics creates physical theories of small to medium-size objects and structures in the universe.
Enhancing Cyber Security through the utilization of Blockchain Technology
Authors: C Vinola , Golabhavi Rahul , Reddy Pavan , Kumar Pavan
Published: June 2023

In today's digital era, cybersecurity is a matter of utmost importance as both organizations and individuals confront growing risks from unauthorized access attempts aimed at sensitive data and systems. Blockchain technology, initially developed as the foundation for cryptocurrencies like Bitcoin, has emerged as a promising solution to enhance cybersecurity. Operating as a distributed ledger that records transactions across multiple computers, blockchain brings forth several essential characteristics that can contribute to bolstering cybersecurity. While blockchain technology offers numerous advantages in terms of cybersecurity, it also introduces its own set of challenges and considerations, including scalability, privacy, and the potential vulnerabilities of smart contracts. The implementation of cybersecurity solutions based on blockchain necessitates meticulous design, robust key management, and a comprehensive understanding of the specific use case and associated risks. Overall, the incorporation of blockchain technology in cybersecurity holds the potential to elevate transparency, integrity, and resilience, empowering organizations and individuals to mitigate the risks posed by cyber threats and improve their overall security stance. This paper, which involves the analysis of 15 researchers, explores various use cases for applying blockchain in the field of cybersecurity. A significant focus among the researchers centers on leveraging blockchain to safeguard IoT devices, networks, and data. Furthermore, the paper delves into how blockchain can offer security measures for three problematic areas within IT that have been identified by previous studies.
A Study on the importance of EMR Data Used in Business Analytics for Decision making Using Open Source tools
Authors:   Assistant Professor, Dept. of CSE, Dayananda Sagar University Innovation Campus, Bengaluru, India, T.K. PradeepKumar , A Suguna ,   Assistant Professor, Dept. of CSE,Sri Sairam College of Engineering, Bangalore
Published: June 2023

EMR is used in healthcare system for the managing the day-to-day activities, by providing quality of care and improving the performances of healthcare services. It has been understood by the Healthcare Professionals, students, patients that EMR can be used to solve the operational issues, provide the data to the patient and other facilities through the nationally accepted interoperable standards.
Crop Health Monitoring Using Rasberry Pi and IOT Things
Authors:   Assistant Professor, Department of ECE Sri Sairam college of Engineering, Anekal, Bengaluru, M Suganthi , . Jyothi , . Ramya , . Prajwal , . ashwanth
Published: June 2023

Our main objective is using the IoT sensors provide the real-time status of environmental parameters impacting the crop, and using Raspberry Pi provide the multispectral data used for generating Vegetation Indices (Vis) such as Normalized Difference Vegetation Index (NDVI) to monitor the crop health and environment.
Food Freshness Detection Using IOT and ML
Authors:   Assistant professor, Department of CSE Sri Sairam College of Engineering Anekal, Bengaluru, India, Kumar Sriram , kalal Shreya , V Pujashree , Unnisa Asmath
Published: June 2023

In today's modern world, the issue of food spoilage poses a significant challenge, as consuming spoiled meals can be hazardous to consumers' health. Our objective is to develop a solution for detecting spoiled food by employing suitable sensors that monitor gasses released by various food items. By utilizing a microcontroller equipped with Internet of Things (IoT) capabilities, an alert can be issued, prompting appropriate action to be taken. This technology has the potential for widespread application in the food industry, where manual food detection is currently employed. Our plan is to create devices that can learn and adapt to this detection process, enabling us to estimate the likelihood of food spoilage and predict the timeframe within which it may occur, especially when sourced from specific suppliers. By implementing this system, we aim to foster increased competition among retailers, encouraging them to prioritize the sale of healthier and fresher food products. Ultimately, this will contribute to the creation of a safer environment for all consumers. To achieve our goals, we propose the integration of Internet of Things (IoT) and Machine Learning (ML) technologies in food freshness detection. This system is designed to assist food suppliers and retailers in monitoring the freshness of their food products. The proposed system employs a combination of IoT devices and ML algorithms to identify changes in the freshness of food items. IoT-enabled sensors are utilized to gather data from the surrounding environment, which is then processed by ML algorithms to detect any deviations in the freshness of the food products. In instances where the freshness begins to deteriorate, the system promptly notifies the food suppliers and retailers, enabling them to take immediate action. We have conducted thorough testing of the proposed system through a case study, and the results demonstrate its effectiveness in detecting changes in the freshness of food products. The integration of a microcontroller equipped with IoT capabilities ensures timely alerts, facilitating the necessary actions to prevent the sale or consumption of spoiled food. This technology has the potential to revolutionize the food industry by automating and improving the detection of food spoilage, thereby safeguarding the health and well-being of consumers. In summary, our proposed solution utilizes IoT and ML to detect changes in food freshness. By leveraging IoT-enabled sensors and ML algorithms, we can monitor and predict the likelihood of food spoilage, enabling suppliers and retailers to take appropriate measures. This approach not only fosters competition among retailers to provide healthier and fresher food but also ensures a safer and more secure food supply chain for consumers worldwide.
Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System
Authors:   Professor, Department Of CSE,Sri Sairam College of Engineering, Anekal, Bangalore, Rao Raghavendra , A G Aakash , R Kamalakannan , C Deepika , D J Dinakar
Published: June 2023

Movies are an important part of our daily entertainment, with the global movie industry experiencing significant growth and capturing the attention of people of all ages. However, only a few movies achieve success, leading to pressure on movie production stakeholders. Therefore, researchers and moviemakers require expert systems that can accurately predict the probability of a movie's success prior to its production. Most research on predicting movie popularity has focused on post-production stages, but it's essential to predict a movie's success at an early stage to enable necessary changes to be made. To this end, a content-based movie recommendation system (RS) has been proposed that uses preliminary movie features such as genre, cast, director, keywords, and movie description. This RS output and movie rating and voting information are then used to create a new feature set, which is input into a CNN deep learning (DL) model to build a multiclass movie popularity prediction system. The study also proposes a system to predict the popularity of the upcoming movie among different age groups, dividing the audience into four categories: junior, teenage, mid-age, and senior. The study uses publicly available data from the Internet Movie Database (IMDb) and The Movie Database (TMDb). The multiclass classification model implemented in this study achieved 96.8% accuracy, outperforming all benchmark models. Overall, this study highlights the potential of predictive and prescriptive data analytics in information systems to support industry decision- making.
Smart Agriculture with IoT
Authors:   Head of the Department,  Department of Artificial Intelligence and Machine Learning,  Sri Sairam College of Engineering, Anekal,Benagaluru, Prof Sivaprakash , Sharon Brinit , P Padmajha , S Pooja , Prince Stewart , R Reshmika
Published: June 2023

Precision farming, often known as smart agriculture, is a management strategy that makes use of IoT technologies to raise the caliber and output of agricultural goods. Agricultural productivity has been hampered by the climate, for example, creating difficulties. Soil moisture, changes, and a lack of resources. It has been researched to use wireless sensors to incorporate proper crop management and soil moisture monitoring in order to overcome these difficulties. Precision farming enables real-time data collection and analysis on elements including weather patterns, soil moisture, and crop health. With better efficiency, less waste, and higher crop yields as a result, farmers are able to make educated decisions about pest control, irrigation, and fertilization. IoT technology's promise is illustrated through the application of precision farming in agriculture.
مدى رضا أطراف النزاع الأُسري عن إجراءات العدالة التصالحية في إدارة حماية الأسرة والأحداث
Authors: R. Abudreas Marrow , M. Al-Rashid Feras
Published: June 2023

هدفت الدراسة إلى التعرف على مدى رضا أطراف النزاع الأُسري عن إجراءات العدالة التصالحية المتمثلة بإجراءات التسوية في إدارة حماية الأسرة والأحداث في الأردن. ولتحقيق أهداف الدراسة اُستخدِم المنهج الوصفي التحليلي باستخدام أسلوب العينة العشوائية البسيطة، ولجمع البيانات تم تصميم استبيان وتوزيعه على عينة الدراسة البالغ حجمها (500) مراجع لإدارة حماية الأسرة والأحداث، ممن اختاروا مسار العدالة التصالحية، ولتحليل البيانات تم استخدام التكرارات والمتوسطات الحسابية والانحرافات المعيارية.
وقد توصلت الدراسة إلى عدة نتائج من أبرزها وجود رضا لدى أطراف النزاع الأُسري عن إجراءات العدالة التصالحية في إدارة حماية الأسرة والأحداث، وكان قبول أطراف النزاع الأُسري لمسار العدالة التصالحية بسبب رغبتهم في الوصول إلى حل يرضي جميع الأطراف، كما توصلت إلى أن أكثر أفراد عينة الدراسة قبولًا لمسار العدالة التصالحية هم الإناث، وعدد سنوات زواجهم (10) سنوات فأكثر. كما أن غالبية المشتكين ممن قبلوا مسار العدالة التصالحية ليس لديهم وظيفة أو مصدر مالي مستقل.
وأن المشادات والخلافات وسوء التفاهم من أكثر الأسباب المؤدية لنشوء النزاع الأسري، تليها الخلافات المادية وأسلوب التعامل القاسي.
وبناءً على نتائج الدراسة، فقد تم صياغة عدد من التوصيات من أهمها: ضرورة تعزيز وتطوير برامج تنفيذ العقوبات البديلة المستجيبة للحالة النفسية والاجتماعية لأطراف النزاع وتحقق الردع الخاص؛ بما يحافظ على الروابط الأسرية، ورفع الوعي حول نهج العدالة التصالحية الذي من شأنه تحقيق عوامل تعزز أمن الأسرة، وبالتالي المجتمع وصولًا إلى تنمية مستدامة.
دور أنظمة الذكاء الاصطناعي في مكافحة الشائعات الإلكترونية
Authors: Mofleh Hammoud Sweileh Saad
Published: June 2023

تتطلب مكافحة الشائعات عبر الإنترنت تكاتف الجهود وتحمل الأطراف المختلفة مسئولياتها في إطار من مفاهيم التصحيح السريع والانفتاح والتواصل التي ترسخ بيئة أقل قابلية لانتشار الشائعات والأخبار المزيفة وجرائم التزييف العميق؛ حيث أدَّت الطبيعة المنتشرة في كل مكان لمنصات التواصل الاجتماعي إلى وجود كمية كبيرة من بيانات الوسائط المتعددة، وصولاً إلى 4.9 مليارات مستخدم حول العالم، ومن خلال استخدام تقنيات الذكاء الاصطناعي يتم التلاعب بالوعي العام والترويج لأفكار ومعلومات مزيفة، وجاءت أهمية البحث في التعرف على مصادر الحروب النفسية والشائعات عبر بيئة الإنترنت والفضاء الإلكتروني وآليات عملها في نشر الأخبار السيئة والإضرار بالمجتمعات ومخاطر الكتائب الإلكترونية، وتم الاستعانة بالمنهج الوصفي التحليلي لعلاج مشكلة الشائعات الإلكترونية، وتوصلت النتائج إلى أن الشائعات والأكاذيب تمثل إحدى أدوات حروب الجيل الخامس عبر منصات التواصل الاجتماعي، وأصبحت في منزلة معلوماتية قوية ومؤثرة، وأصبحت وسيلة الاتصال المؤثرة في الأحداث اليومية، ولديها مخاطر على الأمن القومي، وجاءت أهم التوصيات باستخدام تطبيقات الذكاء الاصطناعي في تطوير مكافحة نشر الشائعات ومواجهة البوستات والمنشورات السيئة باستخدام (التعلم الآلي، والشبكات العصبية، والخوارزميات، وتحليل المعلومات)، وكذا تطوير إستراتيجيات أجهزة الإعلام الأمني بالجهاز الأمني ودعم إستراتيجيات الوعى ضد المخاطر داخل المجتمعات
جريمة التستر التجاري في النظام السعودي: دراسة تحليلية مقارنة
Authors: Bin Khalaf Allwaiheq Al-Motairi Fawaz
Published: June 2023

تأتي هذه الدراسة للإجابة عن التساؤل الرئيس الذي يمثل تحديدًا لمشكلتها وهو: ما أفعال التستر التجاري التي تعتبر جريمةً في ضوء نظام مكافحة التستر السعودي الجديد؟ وكيف يمكن ضبطها عن طريق تحديد الاعتبارات والعناصر المكونة لها؟ وذلك لأن نظام مكافحة التستر التجاري الجديد بُني على تفصيل وتفريق لم يكن في النظام السابق، فلم يجعل أفعال التستر التجاري على درجة واحدة في الخطورة والأثر والمعالجة القانونية؛ فقد نصَّ النظام على أن هذه الأفعال تأتي على درجتين من المسؤولية القانونية، أفعال يترتب على ارتكابها المسؤولية الجنائية، وجاء تحديدها في المادة الثالثة، وأفعال يترتب على فعلها المسؤولية التأديبية الإدارية، وحددت في المادة الرابعة، في إشارة مهمة إلى أن أفعال التستر تختلف فيما بينها في درجاتها وخطورتها، فلا يمكن أن يسوى بين فعل التمكين والممارسة الفعلية مع فعل الحيازة واستخدام الأدوات غير النظامية التي هي في الأساس أفعال ممهدة للوصول إلى التمكين.
وقد توصلت هذه الدراسة إلى أن هناك اعتبارات وعناصر مهمة جدًّا يجب توافرها وتحققها في سلوك التستر التجاري حتى يوصف الفعل بالجريمة، ومتى اختل أحد هذه العناصر وجودًا أو عدمًا بشكل كامل أو جزئي خرج السلوك عن دائرة التجريم، وهذه العناصر تتمثل في التمكين والممارسة وعدم الترخيص، وأوصت الدراسة بأهمية ضبط هذه العناصر ضبطًا أكثر تحديدًا وتدقيقًا لارتباطها بقيام التجريم من عدمه مع تفعيل سبل الوقاية وتشديد الرقابة منعًا من انتشار هذه الجريمة.
مستوى الوعي بنظام مكافحة الجرائم المعلوماتية لدى طلاب الجامعة
Authors: Sulaiman Al-Rashidi Aeda , Muhammad Al-Mahdawi Abdullah
Published: June 2023

هدفت الدراسة إلى معرفة مستوى الوعي بنظام مكافحة الجرائم المعلوماتية لدى طلبة الدراسات العليا ب­جامعة تبوك، والكشف عن وجود فروق في مستوى الوعي وفقًا لمتغير: (الجنس، والمستوى الدراسي، والكلية، والدورات التدريبية في مجال الجرائم المعلوماتية والأمن السيبراني) ولتحقيق أهداف البحث تم استخدام المنهج الوصفي الاستقرائي، وتم تصميم استبانة تكونت من (34) فقرة موزعة على محورين، طُبقت على عينة عشوائية طبقية بلغت (139) فردًا من طلبة الدراسات العليا بجامعة تبوك.
وتوصلت الدراسة إلى نتائج عدة أهمها: أن مستوى الوعي بالجرائم الواردة بنظام مكافحة الجرائم المعلوماتية لدى عينة الدراسة كان (متوسطًا)، وقد بلغ متوسطه (1.84)، وجاء مستوى الوعي بالعقوبات الواردة بنظام مكافحة الجرائم المعلوماتية (مرتفعًا)، وقد بلغ متوسطه (2.52). وفي ضوء النتائج قُدِّمت توصيات أهمها: نشر الوعي بنظام مكافحة الجرائم المعلوماتية؛ ليتم استخدام الشبكة المعلوماتية والأجهزة الإلكترونية بالشكل الملائم الذي يساعد على تجنب المخاطر التي تنتج عن سوء استخدامها.
التطرف الفكري وعلاقته بالتنظيم الانفعالي بين طلبة الجامعة
Authors: Hezam Ghormallah Al Zahrani Asma , Abdelatif Elawad Khairallah Mona
Published: June 2023

تهدفُ الدراسة الحالية إلى التعرف على طبيعة العَلاقة بين التطرف الفكري والتنظيم الانفعالي لدى عينة من طلاب جامعة الأمير سطام ابن عبد العزيز بالخرج، والتعرف على الفروق في التطرف الفكري والتنظيم الانفعالي التي تعزى إلى متغيرات: النوع، والمستوى الدراسي، والتخصص. وقد استخدمت الدراسة المنهج الوصفي التحليلي، وتم اختيار العينة من مجتمع الدراسة بالجامعة بطريقة عشوائية بسيطة، قوامها (215)، (83) طالبًا و(132) طالبةً، طُبِّق عليهم مقياس التطرف الفكري (حسين، 2019) ومقياس التنظيم الانفعالي (أسليم، 2017).
وتوصلت الدراسة إلى عدة نتائج منها: أن مستوى التطرف الفكري لدى طلبة جامعة الأمير سطام بن عبد العزيز بالخرج متوسط. وأن مستوى التنظيم الانفعالي مرتفع. كما توصلت الدراسة إلى عدم وجود فروق ذات دلالة إحصائية عند مستوى الدلالة الإحصائية (0.05) فأقل في إجابات أفراد عينة الدراسة حول (التطرف الفكري) باختلاف متغير: الجنس، والتخصص، والمستوى الدراسي. وعدم وجود فروق ذات دلالة إحصائية عند مستوى الدلالة الإحصائية (0.05) فأقل في إجابات أفراد عينة الدراسة حول (التنظيم الانفعالي) باختلاف متغير: الجنس، والتخصص، والمستوى الدراسي. ووجود علاقـة ارتباطية عكسية دالة عند مستوى (0.05) بين التطرف الفكري والتنظيم الانفعالي لدى طلبة جامعة الأمير سطام بن عبد العزيز بالخرج. وخلصت الدراسة إلى عدد من التوصيات أهمها: القيام بالمزيد من البحوث والدراسات حول العوامل التي تؤدي للتطرف الفكري وتوثيقها واستغلال أوقات الفراغ للشباب وتشجيعهم على الأعمال التطوعية وترسيخ التفكير المعتدل وتدريبهم على التنظيم الانفعالي.
Experimental and Numerical Study on the Characteristics of Free Surface Waves by the Movement of a Circular Cylinder-Shaped Submerged Body in a Single Fluid Layer
Authors: Kim Jun-Beom , Min Eun-Hong , Koo Weoncheol
Published: June 2023

Analyzing the interactions of free surface waves caused by a submerged-body movement is important as a fundamental study of submerged-body motion. In this study, a two-dimensional mini-towing tank was used to tow an underwater body for analyzing the generation and propagation characteristics of free surface waves. The magnitude of the maximum wave height generated by the underwater body motion increased with the body velocity at shallow submerged depths but did not increase further when the generated wave steepness corresponded to a breaking wave condition. Long-period waves were generated in the forward direction as the body moved initially, and then short-period waves were measured when the body moved at a constant velocity. In numerical simulations based on potential flow, the fluid pressure changes caused by the submerged-body motion were implemented, and the maximum wave height was accurately predicted; however, the complex physical phenomena caused by fluid viscosity and wave breaking in the downstream direction were difficult to implement. This research provides a fundamental understanding of the changes in the free surface caused by a moving underwater body.
Study on the Development of the Maneuvering Mathematical Model Considering the Large Angle Motion of Submarine
Authors: Choi Jae Hyuk , Lee Sungwook , Ahn Jinhyeong
Published: June 2023

Maneuverability is a crucial factor for the safety and success of submarine missions. This paper introduces a mathematical model that considers the large drift and angle of attack motions of submarines. Various computational fluid dynamics (CFD) simulations were performed to adapt Karasuno's fishery vessel maneuvering mathematical model to submarines. The study also presents the procedure for obtaining the physics-based hydrodynamic coefficients proposed by Karasuno through CFD calculations. Based on these coefficients, the reconstructed forces and moments were compared with those obtained from CFD and to the hydrodynamic derivatives expressed by a Taylor expansion. The study also discusses the mathematical maneuvering model that accounts for the large drift angles and angles of attack of submarines. The comparison results showed that the proposed maneuvering mathematical model based on modified Karasno’s model could cover a large range of motions, including horizontal motion and vertical motions. In particular, the results show that the physics-based mathematical maneuvering model can represent the forces and moments acting on the submarine hull during large drift and angle of attack motions. The proposed mathematical model based on the Karasuno model could obtain more accurate results than the Taylor third-order approximation-based mathematical model in estimating the hydrodynamic forces acting on submarines during large drift and angle of attack motions.
Pseudomonas aeruginosa və digər bakteriyalarda biotəbəqənin yaranma mexanizmi və Quorum Sensing Sistemi.
Authors: A.R.İlyaszadə  , K.S.Məmmədova  , E.A.Məmmədov
Published: June 2023

Mikroorqanizmlərin bir səth üzərində toplanması və antibiotiklərə davamlılıq əmələ gətirmə xüsusiyyətləri son zamanların ən aktual mözvularından biridir. Bir çox antibiotiklər daxil olmaqla ətraf mühitin əlverişsiz şəraitinə qarşı həyatda qalmaq üçün mikroorqanizmlər biotəbəqə adlandırılan bir srtuktur əmələ gətirirlər (1). Biotəbəqə əmələ gətirən bakteriyalar müxtəlif xroniki infeksiyalara səbəb olur (2,3,4).
Müxtəlif Dozalarda Alkoholun Beyinciyin Purkinye Hüceyrələrinə Təsiri
Authors: T.M.İsmayılov  , G.Ə.Həsənova  , S.H.Yusifova  , Sh.Ə.Məmmədov
Published: June 2023

Ədəbiyyatdakı məlumatlara görə beynin müxtəlif şöbələri alkohola seçici həssaslıq göstərir [5,6,7]. Baxmayaraq ki, beyinciyin Purkinye hüceyrələri (PH) hərəkətlərin nəzarətində böyük rol oynayır və müxtəlif növ afferent qıcıqlara yüksək reaktivlik göstərir, alkoholun bu hüceyrələrə təsiri barədə məlumatlar azdır və bir-birinə ziddir. Bundan başqa, alkoholun təsirindən baş verən hərəkət pozğunluqları beyincik ataksiyası olan xəstələrin koordinasiyasının pozulmaları ilə oxşardır, lakin mövcud kliniki material alkohol intoksikasiyası zamanı beyincik qabığının sinir hüceyrələrinin erken morfoloji dəyişiklikləri aşkar etmək imkanı vermir [4,8,9]. Əvvəlki tədqiqatlarımız [1,2,3,10] etanolun kiçik dozasının təsirindən beyinciyin Purkinye hüceyrələrində baş verən dəyişiklikləri və alkoholun təkrarən yeridilməsinin kumulyativ təsirini aşkar etmişdir.
İnformasiya Texnologiyalarinin Tibbdə Rolu
Authors: Q. Abdullayeva
Published: June 2023

Müasir informasiya texnologiyaları səhiyyə sahəsində getdikcə daha çox istifadə olunur və bu olduqca zəruridir. Bunun sayəsində tibb, o cümlədən alternativ tibb bu gün tamamilə yeni xüsusiyyətlər qazanır. Bir çox tibbi araşdırmaları, kompüter və bunun üçün xüsusi proqram olmadan etmək sadəcə mümkün deyil. Bu proses həm tibb işçilərinin hazırlanması mərhələsində, həm də tibbi təcrübədətibbi əhəmiyyətli dəyişikliklərlə müşayiət olunur.
Ulu Öndər Heydər Əliyev Mənəviyyat Və Mənəvi Tərbiyə Haqqinda
Authors: Kerimova G.
Published: June 2023

Ulu Öndər Heydər Əliyevin dərin zəka və hərtərəfli siyasi, elmi, mənəvi dünyagörüşə malik şəxsiyyəti, geniş və gərgin siyasi fəaliyyəti onu dünya professional siyasətçisi, böyük dövlət xadimi, dahi rəhbər kimi tanıtmışdır. Dünyanın görkəmli siayasi xadimləri Heydər Əliyevi XX əsr dünya siyasətinin lideri adlandırmışlar. Ümummilli lider Heydər Əliyevin mənalı, zəngin həyat və fəaliyyəti, təcrübəsi yüksək insani, əxlaqi və mənəvi keyfiyyətləri yetişən gənc nəsillər üçün ən dəyərli nümunə, mənəviyyat və əxlaq məktəbidir.
Влияние Компьютерных Технологий На Состояние Здоровья И Образ Жизни Учащихся
Authors: Ш.М. Балаева  , Г.Г.Габулов  , Н.Г.Сулейман-заде  , З.Г.Исмаилова
Published: June 2023

В статье представлены результаты оценки влияния цифровой среды обучения и компьютерных технологий на здоровье и образ жизни подростков в зависимости от продолжительности их применения в учебной и досуговой деятельности. Исследованы условия обучения, образ жизни и состояние здоровья 986 подростков 13-16 лет, обучающихся в старших классах общеобразовательных учреждений г.Баку.
О Риске Развития Анеуплодии Эмбрионов В Зависимости От Патозооспермии Мужчин В Программе Вспомогательных Репродуктивных Технологий
Authors: М.К. Исмайлова  , А.Т.Гасанова
Published: June 2023

Вопрос мужского бесплодия с каждым днём приобретает все большую актуальность. Согласно различным статистическим источникам в настоящее время в структуре бесплодия мужской фактор составляет 50-60. Хотя всего пару десятков лет назад это цифра была всего 30 [3].
A case of necrotizing fasciitis developing after cesarean section
Authors: Kaplan İsa
Published: June 2023

Necrotizing fasciitis (NF) is a rare condition that is observed in obstetric and gynecological practices. It is a rapidly progressive and often fatal complication. Failure to obtain an early diagnosis and delay in initiating appropriate treatment can lead to significant morbidity and mortality. Our case was 25 years old, and she was in her first pregnancy. The patient had no systemic disease or history of previous surgery. Our patient’s baby was delivered by cesarean section with an indication of emergency fetal distress. During the cesarean section, it was observed that the amniotic fluid contained  very dark meconium. No complications occurred during the cesarean section. Our patient presented with complaints of severe pain, bullae, and hyperemia at the level of the incision line one week later. In her vital findings, fever was 39.3 ºC, blood pressure was 90/60 mmHg, and heart rate was 110 /min. In laboratory tests, white blood cell count was 25,280 /mm3, C-reactive protein (CRP) was 431 mg/dL, and sedimentation was 100 mm/hour. On the ultrasonographic examination, air, significant edema, and thickening were observed in the incision line, skin, and subcutaneous tissues. On the computed tomography scan, thickening of the skin and subcutaneous tissues, fluid locations, and areas of air densities were observed over a wide area extending to the level of the thoracic 10th and 11th vertebrae superiorly and to the mons pubis inferiorly. Based on  these findings, the patient was diagnosed with NF. After broad-spectrum antibiotic therapy and fluid-electrolyte support, extensive surgical debridement was performed under emergency conditions. Before applying the skin graft, vacuum-assisted wound closure was performed, and a very good response was obtained. The patient, whose pathology result was compatible with necrotizing fasciitis, was discharged on the 20th post-operative day. In this case, we aimed to present a case of NF after cesarean section.
Comparison the effects of sugammadex and neostigmine/atropine on cognitive functions in bariatric surgery patents: Randomized controlled trial
Authors: Sabuncu Ülkü , Selçuk Kuşderci Hatice , Öterkuş Mesut , Abdullayev Ruslan , Uludağ Öznur , Özdaş Sabri
Published: June 2023

Background/Aim: A recently introduced drug, sugammadex, can be a good alternative to conventional neuromuscular blockade reversal agents, such as neostigmine. This choice is of great importance, especially in the patients in whom it would be wise to avoid cholinergic side effects. The aim of this study was to compare the effects of sugammadex and the combination of neostigmine/atropine on post-operative cognitive dysfunction in bariatric surgery patients.
Methods: This randomized controlled trial included a total of 90 patients with American Society of Anesthesiologists (ASA) I–III physical status and body mass index >30 who were scheduled for elective sleeve gastrectomy were recruited for the study after obtaining ethics committee approval. Written consent was obtained from each patient. The exclusion criteria consisted of several parameters: lack of consent, co-existing muscular diseases, and severe cardiovascular diseases (New York Heart Association [NYHA]). The patients were randomly divided into two groups, and the randomization was performed by the investigator using previously prepared envelopes. In both groups, Mini Mental State Examination (MMSE) was performed before the operation. The patients’ memory, attentive executive functions, and motor skills were evaluated as part of a control cognitive evaluation. After the operation while in the post-anesthesia care unit and when the Modified Aldrete Recovery Score was ≥9, the MMSE evaluation was repeated one and six hours later.
Results: The pre-operative MMSE results were similar in both groups. In the post-operative period, MMSEpo, MMSEpo1, and MMSEpo6 values were not significantly different between the groups. When a detailed examination of MMSEpo data was performed, it was determined that the MMSE scores were 20–25 in 14 patients (32.6%) in Group N/A and six patients (14.6%) in Group S. In Group N/A, the percentage of patients with MMSE 20–25 was significantly higher than that of Group S (X2=3.807; P=0.046).
Conclusion: In this study, sugammadex produced less effects on cognitive functions when compared with neostigmine/atropine combination. The neostigmine/atropine combination produced mild effects on cognitive functions in the first hour of recovery.
ANALYSIS OF THE RELATIONSHIP BETWEEN THE PARTICIPATION INDEX AND EXCHANGE RATE, GOLD AND OIL IN TURKIYE
Authors: KILIÇ Ethem , TÜRKAN Yavuz
Published: June 2023

The main purpose of this study is to investigate the relationship in Türkiye between the participation index and the exchange rate, gold, and oil. The research has been carried out using Johansen cointegration and Toda-Yamamoto causality tests by using weekly data for the period 03.01.2016 – 26.12.2021. All of the series were found to be stationary at the first difference, and then Johansen cointegration and Toda-Yamamoto tests were applied. As a result of the analysis, it has been determined that the participation index, exchange rate, gold and oil series are cointegrated in the long term. According to the Toda-Yamamoto causality test, it was determined that there is one-way causality from exchange rate and oil to the participation index.
Marginal Intra-Industry Trade and Labor Adjustment Cost in EU
Authors: ATASOY Duygu , ULUSOY Veysel
Published: June 2023

Intra- Industry Trade is a crucial issue from the point of view of increased importance in international trade and its' labor adjustment cost influence in the literature. This research analyzes the relationship between MIIT and labor adjustment cost by comparing the different measures of marginal intra-industry trade. We compare the A, MD1, and MD2 indexes, which are different measures of MIIT. 127 manufacturing subsectors are used in 15 European Union countries in the period between 1990- 2017. The result of dynamic panel data of system GMM shows that the MD2 measurement method explains the low adjustment cost better than MD1. It significantly correlates with a few of the variables concerning trade. MD1j has a strong relationship with sectoral employment, consumption, productivity, and openness in the manufacturing industry in the European Union. Three measures of MIIT present a negative link between MIIT and adjustment cost, which is suitable with the literature.
HAVAYOLU YOLCU TAŞIMACILIĞI ŞİRKETLERİNİN NAKİT DÖNÜŞÜM SÜRELERİNİN ANALİZİ: ULUSLARARASI BİR KARŞILAŞTIRMA
Authors: KARADENİZ Erdinç , AYDIN Cansu
Published: June 2023

Bu araştırmanın amacı havayolu yolcu taşımacılığı şirketlerinin nakit dönüşüm sürelerinin uluslararası olarak karşılaştırmalı analizidir. Bu amaçla Amerika Birleşik Devletleri (ABD), Asya-Pasifik ve Avrupa ülkelerindeki menkul kıymet borsalarında işlem gören 64 havayolu yolcu taşımacılığı şirketinin 2016-2021 yıllarına ait stok devir süresi, alacak devir süresi, ticari borç ödeme süresi ve nakit dönüşüm süresi hesaplanmış ve ortalamaları alınarak karşılaştırmalı olarak incelenmiştir. Araştırmada ayrıca nakit dönüşüm süresi ile bileşenleri arasındaki ilişkiler korelasyon analiziyle değerlendirilmiştir. Araştırma sonucunda genel olarak nakit dönüşüm süresi ortalamasının uzun olmadığı saptanmıştır. Bununla birlikte en uzun nakit dönüşüm süresine Asya-Pasifik buna karşın en kısa nakit dönüşüm süresine ABD örneklemindeki şirketlerin sahip olduğu belirlenmiştir. Korelasyon analizi neticesinde Asya-Pasifik ve Avrupa örneklemlerinde nakit dönüşüm süresi ile en güçlü ilişkinin alacak devir süresiyle olduğu, ABD örnekleminde ise stok devir süresiyle olduğu belirlenmiştir. Araştırmada ayrıca COVID-19 salgınının havayolu şirketlerinin faaliyet etkinliğini ve nakit dönüşüm süresini genel olarak olumsuz bir şekilde etkilediği saptanmıştır.
TÜRKİYE’DE KATILIM BANKACILIĞININ GELİŞİMİ VE KATILIM BANKACILIĞI SEKTÖRÜ SWOT ANALİZİ
Authors: CAN Şenay Selin , İSLAMOGLU Mehmet
Published: June 2023

İslam Dini'ndeki faiz yasağı nedeniyle, dini kaygıları olan kişiler faizden uzak durmak isterler ve fonlarını faizsiz bankalara yatırmaya yönelirler. Dünyada İslami banka veya faizsiz banka adı altında bu hizmeti veren önemli sayıda banka vardır. Türkiye'de faizsiz bankacılık hizmeti ilk kez 1985 yılında Özel Finans Kurumu adı altında uygulanmaya başlandı.2005 yılında Katılım Bankası adını alarak günümüzde de bu unvanla faaliyetlerini sürdürmektedirler. Çalışmada ilgili literatürdeki akademik yayınlar taranmış ve bu kuruluşların katılım bankasına dönüşümünün ve bankalar kanununa tabi olmasının sağladığı yararlar incelenmiştir. Ayrıca katılım bankacılığı sektörü SWOT yöntemi yardımıyla analiz edilmiş ve böylece sektöre ilişkin güçlü ve zayıf yönler, fırsat ve tehditler değerlendirilmiştir.
YÜKSEK ENFLASYONLU EKONOMİLERDE FİNANSAL RAPORLAMA KAPSAMINDA ÖZELLİK ARZ EDEN KONULAR
Authors: GÖKÇEN Gürbüz , ÖZTÜRK Erkan
Published: June 2023

Yüksek enflasyonun görüldüğü birçok ülkede olduğu gibi ülkemizde de enflasyon muhasebesi son yılların dikkat çeken konularından biri halini almıştır. Ülkemizde halihazırda uygulanmakta olan Türkiye Finansal Raporlama Standartları (TFRS) ve Büyük ve Orta İşletmeler İçin Finansal Raporlama Standardı (BOBİ FRS) içerisinde enflasyon muhasebesi uygulamalarının nasıl yapılması gerektiğine ilişkin düzenlemeler bulunmaktadır. Ancak, bu düzenlemelerin uygulanması sırasında standart setlerinin diğer konuları içerisinde yer alan maddelerin de gözetilmesi gerekmektedir. Özellikle cari değerin kullanılması gerektiği durumlarda enflasyon muhasebesi uygulamalarının nasıl yapılması gerektiği sorusuna standartlar yeterli ölçüde yanıt verememektedir. Yapılan bu çalışmada; enflasyon muhasebesi uygulamalarında özellik arz eden bazı konular tespit edilerek, cari değer muhasebesi ve enflasyon muhasebesinin bir arada nasıl uygulanabileceğine ilişkin bir yorum kazandırılması amaçlanmıştır. Çalışma içerisinde, tespit edilen konulara ilişkin örnekler verilerek belirlenen uygulama esaslarına yönelik öneriler sunulmuştur.
Compromised Stability of Korea's Japan Policy: Two-Level Constraints, Leaders' Incentives, and the GSOMIA Swings
Authors:   Institute of Korean Studies, You Chaekwang
Published: June 2023

Korea's Japan policy has increasingly become inconsistent and even volatile across time. At the centre of the inconsistency is the Moon Jae-In government's GSOMIA policy. While starting his tenure by deciding to remain in the GSOMIA, the government made 180-degree turn and notified its intention not to renew the agreement when Japan announced export controls. But the decision was completely reversed within months when the government held off ending the agreement. What explains such inconsistency in Korea's Japan policy? To answer this question, the paper proposes a generic model of foreign policy inconsistency, which might be called 'two-level constraint model' and applies it to the case of Korea's GSOMIA policy. The central argument of the model is that the inconsistency in the countries' foreign policy is the result of shifts in foreign policy leaders' incentives, which are affected by the changes in the level of external-and internal political constraints they face. A crucial case study of the Moon Jae-In government's GSOMIA policy finds strong evidence that lends a support for the argument. The paper concludes by offering both a short summary and policy implications.
Behavioral Economic Studies in Turkey: Summary of The Literature on Marketing and Fınance Fields
Authors: Ulusoy Gürkan , Özkahveci Esra , Demiroğlu Funda
Published: June 2023

Ekonomik kararlar, günlük yaşantımızın önemli bir bölümünü oluşturmaktadır. Dolayısı ile ekonomi, tarih boyunca insan merkezli bir bilim alanı olmuştur. Ekonomi, kronolojik olarak modern dönem ve modern öncesi dönem olmak üzere iki
bölüme ayrılmaktadır. Modern ekonomi Adam Smith’in Ulusların Zenginliği adlı eseri ile başlamaktadır. Ancak arkasındaki itici güç şüphesiz Endüstri Devrimi’dir. Ana akım ekonomi yaklaşımları bazı temel varsayımların etrafında şekillenmektedir.
Bunlar homo economicus, görünmez el ve fayda gibi kült kavramlardır. Geleneksel yaklaşımların en belirgin özelliği rasyonel temelli ve duygulardan arındırılmış bakış açısına sahip olmalarıdır. Tarihsel olarak daha yeni bir kavram
olan davranışsal ekonomi ise ekonomik kararların daima rasyonel olmayacağını öne sürmektedir. Dolayısı ile psikolojik yöntemleri sıklıkla kullanmaktadır. Çalışmanın amacı Türkiye’de davranışsal ekonomi alanında yapılan çalışmaların
literatür özetini oluşturmaya yöneliktir. Bu bağlamda, çalışmanın kapsamı pazarlama ve finans alanında yapılan çalışmalar ile sınırlandırılmıştır. Çalışmadan elde edilen sonuçlara göre, davranışsal ekonomi alanında finans alanına
ilişkin çalışma sayısının daha fazla olduğu görülmüştür. Ayrıca finans alanında yapılan çalışmaların pazarlama alanında yapılan çalışmalara göre daha eski tarihlerde başladığı görülmüştür.
On Obsessive Compulsive Disorder and Cognitive Behavioral Therapy Systematic Compilation
Authors: Gök Çiğdem , Karaaziz Meryem
Published: June 2023

Bu derleme çalışmasının amacı obsesif kompulsif bozukluk yaşayan bireylerde BDT yaklaşımının kullanımını incelemektir. Yapılan bu çalışmada sistematik derleme yöntemi kullanılmış olup saha çalışması ya da herhangi bir ölçek kullanılmamıştır.
Sadece Türkçe ve İngilizce dillerinde ele alınan çalışmalar 2005-2022 yılları arasındadır. Bu çalışmalar araştırma makalelerinden oluşmaktadır. Bu derleme çalışması Şubat, 2023 ve Mayıs, 2023 olmak üzere iki aşamada gerçekleşmiştir.
Yapılan literatür taraması sonucunda 5 çalışma ele alınmıştır. Ele alınan bu 5 çalışma sonucunda BDT’nin terapiye uyumu arttırıcı ve ulaşılabilirliği ve tedavi sonrası kazanımları açısından etkin bir yöntem olduğu görülmüştür.
OKB yaşayan bireylere BDT uygulandıktan sonra semptomların büyük ölçüde azaldığı ve ortadan kaybolduğu bulunmuştur. Bu nedenle de OKB tedavisinde BDT tedavi yaklaşımı etkili bir yöntemdir.
Determination of Employee Brand Perceptions of Hospitality Employees and Analysis of Differentiation According to Demographic Variables
Authors: Aylan Serkan , Bayraktar Şükran Nur
Published: June 2023

Bu araştırmanın amacı, konaklama işletmelerinde çalışan işgörenlerin işyeri marka algılarını tespit etmek ve bu algı düzeylerinin demografik değişkenlere göre farklılaşıp farklılaşmadığını ortaya koymaktır. Araştırmanın verileri, Haziran-Ağustos
2022 yaz sezonunda Muğla ili Bodrum ilçesindeki dört ve beş yıldızlı konaklama işletmelerinde çalışan 327 işgörenden, anket tekniği kullanılarak toplanmıştır. Elde edilen verilere betimsel istatistikler, non-parametrik farklılık
testlerinden Mann Whitney U, Kruskal Wallis H ve Posthoc Tamhane testleri uygulanmıştır. Uygulanan analizler sonucunda, işgörenlerin genel olarak işyeri marka algılarının yüksek olduğu, medeni durum, gelir düzeyi, turizm sektöründeki
deneyim süresi ve çalışılan işletmenin yıldız sayısı değişkenlerine göre işyeri marka algılarında anlamlı farklılıkların bulunduğu görülmüştür. Kadın, gelir 4253 TL ve üstünde gelire sahip, 6-10 yıl arasında sektör deneyimi olan
ve beş yıldızlı konaklama işletmelerinde çalışan işgörenlerin işyeri marka algılarının daha yüksek olduğu sonucu ortaya çıkmıştır. Elde edilen sonuçlar doğrultusunda hem sektöre hem de akademiye önerilerde bulunulmuştur. Yerli
literatürde işyeri marka algısı konusuyla ilgili yapılan araştırmalar incelendiğinde, bu çalışmaların genel olarak nicel araştırma metotlarından faydalanılarak yapıldığı görülmektedir. Gelecekte işyeri marka algısıyla yapılacak
araştırmalarda mülakat, gözlem gibi nitel araştırma yöntemlerin kullanılması, ortaya çıkacak muhtemel sonuçların kıyaslanmasıyla mevcut literatürün gelişimine katkı sağlayacağı düşünülebilir.