bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the internal carotid arteries stenosis on the hemodynamics of the circle of Willis communicating arteries: a numerical study
Authors:   Saratov State University, Dol Aleksandr , Ivanov Dmitriy ,   Saratov State University, Bakhmetev Artem ,   V.I. Razumovsky Saratov State Medical University, Kireev Sergey ,   Saratov State University, Maystrenko Dmitriy , Gudz Anna ,   Russian Scientific Center of Radiology and Surgical Technologies named after Academician A. M. Granov of the  Ministry of Health of the Russian Federation
Published: May 2024

Modern authors argue that carotid arteries stenosis leads to changes in circle of Willis blood flow, which may contribute to aneurysm formation. It was found that up to 3.2 % of patients with carotid arteries stenosis have associated cerebral aneurysms. Moreover, it is known that performing a surgical intervention to remove carotid stenoses can lead to a decrease in cerebral aneurysm size or their complete disappearance. In this regard, the problem arises of studying effect of the carotid arteries stenosis on human brain vessels aneurysms development. In this work, a biomechanical study of the anterior communicating and posterior communicating arteries hemodynamics for various variants of the circle of Willis structure in combination with atherosclerotic plaques of carotid arteries was carried out. Based on computed angiography data, 45 models of the circle of Willis and carotid arteries with various degrees of stenosis and localization of atherosclerotic plaques were constructed and analyzed. Numerical modeling of the unsteady blood flow in the circle of Willis and carotid arteries was performed in Ansys CFX. Wall shear stress of the anterior and posterior communicating arteries were analyzed, as well as mass blood flows along these arteries. The influence of the carotid arteries stenosis degree, as well as their combination with anomalies in the circle of Willis on change in wall shear stresses and mass blood flows in communicating arteries, was evaluated. The most dangerous combinations of the carotid arteries stenosis and types of the cerebral arterial circle which increase the risk of developing communicating arteries aneurysms were identified.
Mathematical models of laser correction of myopia by LASIK, SMILE and PRK
Authors:   Saint Petersburg State University, Bauer Svetlana , Venatovskaya Ludmila ,   Saint Petersburg State University, Kachanov Andrey ,   Saint Petersburg Branch of S. Fyodorov Eye Microsurgery Federal State Institution,   I.I. Mechnikov North-Western State Medical University, Kornikov Vladimir ,   Saint Petersburg State University
Published: May 2024

The stress-strain state of the human eye, which cornea in its apexis is weakened after myopia surgical correction, is studied. The elastic system “corneasclera” is presented as two joint transversely isotropic spherical segments with nonuniform thickness, different radii of curvature and biomechanical properties. The cornea is modeled as multilayer shell. The simulated eye shell is filled with an incompressible fluid. Mathematical models of three different laser vision correction surgeries: small incision lenticule extraction (SMILE), laser in situ keratomileusis (LASIK) and photorefractive keratectomy (PRK), are developed in the engineering simulation software ANSYS Inc. The diameter and thickness of the lenticular in SMILE, the diameter of the ablation zone and the maximum thickness (depth) of the corneal ablation in LASIK and PRK define optical surgery areas and are considered as comparable parameters. Finite element simulation shows that after LASIK vision correction the apex of the cornea has a greater displacement and the stress increase greater in the stroma than after SMILE and PRK. The influence of the multilayer structure of the cornea and elastic characteristics of the sclera on the biomechanics of the eye as a result of vision correction is shown.
An improved ant colony algorithm based on Q-Learning for route planning of autonomous vehicle
Authors: Zhao Liping , Li Feng , Sun Dongye , Zhao Zihan
Published: May 2024

In view of the problems existing in the path planning algorithms of unmanned vehicles, such as low search efficiency, slow convergence speed and easy to fall into the local optimal. Based on the characteristics of route planning for unmanned vehicles, this paper introduces Q-Learning into the traditional ant colony algorithm to enhance the learning ability of the algorithm in dynamic environment, so as to improve the overall efficiency of route search. By mapping pheromones into Q values in Q-learning, rapid search in complex environments is realized, and a collection-free path satisfying constraints is quickly found. The results of case analysis show that compared with the traditional ant colony algorithm and the improved ant colony algorithm considering reward and punishment factors, the improved ant colony algorithm based on Q-Learning can effectively reduce the number of iterations, shorten the path optimization time and path length and other performance indicators, and has many advantages in jumping out of the local optimal, improving the global search ability and improving the convergence speed, and has good adaptability and robustness in complex environments. It ensures the safety and stability of unmanned vehicles in complex environments.
Quicker Path planning of a collaborative dual-arm robot using Modified BP-RRT* algorithm
Authors: A Josin Hippolitus , R. Senthilnathan
Published: May 2024

Path-planning of an industrial robot is an important task to reduce the overall operation time. In industrial tasks, path planning is executed with lead-through programming, where in most cases the robot faces singulated object configurations. Cluttered environments demand path-planning algorithms, which are sensor driven, rather than pre-programmed. Path-planning algorithms, like RRT, and RRT* and their variants have inherent problems like the duration of a search and the creation of several node samples which may lead to longer path lengths. Back Propagation-Rapidly exploring Random Tree* (BP-RRT*) algorithm was a leap forward when an obstacle is enveloped with a sphere. Due to the spherical envelope of the obstacle, this method evaluates the connection between the path and obstacle in space with a spherical envelope using the triangular function and identifies the non-collision path in 3D space. This predicts the best non-collision path in the 3D workspace. The current state-of-the-art of BP-RRT* is limited to single-arm robots. A collaborative dual-arm robot faces more problems in path planning than a single-arm robot like inter-collision of manipulator arms apart from avoiding obstacles. A Modified BP-RRT* algorithm is proposed for the dual-arm collaborative robot has a pre-stage partition of grids that makes the computation faster, efficient, and collision-free compared to the traditional path planning algorithms namely RRT, RRT*, Improved RRT* and BP-RRT*. The algorithm is implemented in simulation as well as in physical implementation for ABB YuMi dual-arm collaborative robot and the typical length of the path of the proposed modified BP-RRT* method has reduced by 53.8% from the traditional RRT method, 6.95% from the RRT* method, 7.77% from improved RRT* method and 6.83% from the BP-RRT* method. Also, the average time to grasp has reduced by 17.84%, the typical duration for search has decreased by 33.45%, the number of node samples created has reduced by 14.79% from BP-RRT* algorithm.
Deep recurrent neural networks distributed on a Hadoop/Spark cluster for fall detection
Authors: Hamdi Monia , Bouhamed Heni , Badreddine Fady , Alkanhel Reem Ibrahim
Published: May 2024

Falls detection approaches struggle with both Big Data scalability and upholding individual privacy, this research work proposed a novel approach for posture recognition followed by fall detection, taking advantage of the synergy between Random Forests and Uniform Local Binary Patterns (uLBP) histograms for an accurate and fast posture identification while respecting privacy. Additionally, it referred to deep recurrent neural networks distributed on a Hadoop and Spark platform for time series analysis in fall detection. This combination of methods allowed us to achieve acceptable real-time monitoring precision. This study, therefore addressed two objectives simultaneously: efficiency and scalability in posture recognition using Random Forests and uLBP, and fall detection relying on the recurrent neural network (RNN) for time series processing. The suggested solution is designed for home telemonitoring, where scalability and effective data management are supported through Hadoop/Spark. The integration of these technologies promotes reliable detection without any privacy violation, paving the way for a wider adoption of home monitoring systems for an increasing population of dependent individuals.
Proposal of a Machine Learning Predictive Maintenance Solution Architecture
Authors: Pătrașcu Aurelia , Bucur Cristian , Tănăsescu Ana , Toader Florentina Alina
Published: May 2024

This article proposes an architecture model for a predictive maintenance solution that can be used to detect degradation of equipment in industrial units. This platform is compliant with Industry 4.0 standards and employs machine-learning algorithms alongside with data analytics methodologies to model the kinetics of equipment degradation. This serves the overarching aim of Industry 4.0 by enabling real-time, data-driven decision-making and complex asset management. To model the deterioration of the equipment, advanced data analysis techniques and machine learning were used, thus allowing for the early identification of imminent failures and reducing system downtime. The proposed solution was validated through numerous experiments and a comprehensive analysis of data. The results indicate not only enhanced operational reliability but also a reduction in environmental impact, thereby highlighting the value of intersecting Industry 4.0 and Sustainability paradigms in the field of industrial systems.
A Hybrid Multi-Attribute Decision-Making Approach Considering Correlations Among Indicators
Authors: Zheng Yuanyuan , Ma Changsong
Published: May 2024

Considering the fuzzy and uncertainty of the evaluation information of the evaluation object, the type of indicators are expanded into five types of mixed evaluation information, namely, exact number, interval number, triangular fuzzy number, hesitant fuzzy number, and probabilistic linguistic term sets, and different types of evaluation information are adopted according to the different characteristics and types of indicators, respectively. When the evaluation information is hybrid information, the generalized Shapley function based on fuzzy measurement is used to analyze the interaction between indicators and determine the weights of indicators, considering that the interaction between indicators is more complicated. In view of the fact that the conversion of mixed information into the same kind of information will lead to the problem of complicated calculation and missing information, the VIKOR method is used to comprehensively evaluate the evaluation objects and select the best ones. Finally, the validity and feasibility of the proposed method is verified by taking the assessment of data literacy level and competence of teachers in a university in a western province of China as an example.
ZOOLÓGICOS HUMANOS DIGITAIS: CONTINUIDADES NAS RELAÇÕES DE PODER NO USO ILEGAL DE INTELIGÊNCIA ARTIFICIAL GENERATIVA (IA GEN) PARA CRIAÇÃO DE IMAGENS ÍNTIMAS FALSIFICADAS (DEEPNUDES) POR ESTUDANTES
Authors: Pereira Ives da Silva Duque , Moura Sérgio Arruda de
Published: May 2024

Este Trabalho desenvolve a problemática do que estamos chamando de "Zoológicos Humanos Digitais", enfocando a criação e disseminação de imagens íntimas falsificadas, os deepnudes, de estudantes por meio da Inteligência Artificial Generativa (IA Gen). O estudo analisa a continuidade das dinâmicas de poder, objetificação e violência de gênero, traçadas historicamente nos Zoológicos Humanos do passado, agora manifestadas no ambiente escolar. A pesquisa visa compreender como essa prática moderna reflete e perpetua padrões históricos de poder sobre os corpos, impactando a dinâmica social em ambientes educacionais contemporâneos no Brasil. Os principais resultados indicam uma preocupante continuidade das dinâmicas de poder e dominação, em que a tecnologia IA Gen é utilizada para criar e disseminar imagens íntimas falsas, violando a privacidade e autonomia das vítimas, exclusivamente mulheres jovens. O estudo revela que essas práticas, ao serem disseminadas em ambientes escolares e digitais frequentados pelos estudantes, não só perpetuam a violência de gênero, mas também afetam negativamente a saúde mental das vítimas e a percepção de consentimento e privacidade na era digital. Neste contexto, a Educação tem um papel fundamental de contribuição para construção de uma sociedade em que as relações de gênero sejam menos desiguais e que a violência contra as mulheres não encontre campo fértil de propagação.
Educação a Distância e iniciação científica:
Authors: Peres Oliveira Mariana , Sarvodelli Versolato Marina
Published: May 2024

Este estudo tem como objetivo identificar os benefícios e destacar as possibilidades de realizar a Iniciação Científica (IC) nos cursos de Educação a Distância (EAD). Inicialmente, foi abordada a relevância da IC e seus benefícios, ressaltando o envolvimento dos estudantes em atividades de pesquisa para o desenvolvimento de habilidades científicas. Posteriormente, foi abordada a viabilidade da IC no contexto da EAD, discutindo como as tecnologias e as ferramentas de comunicação podem proporcionar a interação entre estudantes e orientadores. Por fim, apresentaremos um relato de experiência de uma estudante sobre a produção de pesquisa no contexto da EAD. Também apontamos as oportunidades de contribuição para a produção de conhecimento e para a melhoria da qualidade do ensino. Em conclusão, a IC na EAD desempenha um papel de destaque na formação acadêmica dos estudantes. Ao fomentar o espírito investigativo e o desenvolvimento de competências científicas, a pesquisa científica contribui para a construção de uma sociedade mais crítica, inovadora e fundamentada em evidências.
Öğretmenlerin Mesleki Tatmin Düzeylerini Belirleme Ölçeği (ÖMTÖ) Geliştirme Çalışması
Authors: Yurdakal İbrahim Halil , Aktaş Mehmet Emin
Published: May 2024

Bu araştırmada öğretmenlerin mesleki tatmin düzeylerini tespit etmek amacıyla güvenilir ve geçerli bir ölçme aracı geliştirmek hedeflenmiştir. Bu kapsamda alan yazın incelenerek maddeler oluşturulmuş ve uzman görüşleri alınarak taslak ölçme aracı oluşturulmuştur. Taslak ölçme aracı 525 öğretmene çevrimiçi form ile uygulanarak veriler toplanmıştır. Toplanan veriler 300-225 şeklinde ikiye bölünerek açımlayıcı faktör analizi ve doğrulayıcı faktör analizi farklı örneklem baz alınarak yapılmıştır. Veri setinde eksik veriler tamamlanmış, örneklem yeterliliği tespiti için KMO analizi yapılmış ve mahalanobis analizi ile ranjı artıran formlar veri setinden çıkarılmıştır. Ölçme aracının güvenirliği kapsamında Spearman-Brown ve Guttman Split-Half, Anova Tukey’s Nonadditivity, Hotelling's T-Squared ve Intraclass Correlation Coefficient analizleri yapılmıştır. AFA (Açımlayıcı Faktör Analizi) ve güvenirlik analizleri sonrası DFA (Doğrulayıcı Faktör Analizi) yapılmış olup model doğrulanmış olup uyum indekslerinin yeterli düzeyde olduğu görülmüştür. Analizler sonucunda ölçeğin KMO değeri 0.91; Cronbach’s Alpha değeri 0,87; Spearman-Brown korelasyon değeri 0.85; Guttman Split-Half değeri 0,84; Anova Tukey’s Nonadditivity ,000, Hotelling's T-Squared ,000 ve Intraclass Correlation Coefficient değeri ,000 bulunmuştur. İlk boyut ölçeğin varyansının %36.16’sını, ikinci boyut %13.37’sini, son alt boyutun ise %5.00’ini açıkladığı görülmektedir. Birinci boyutta yer alan maddelerin faktör madde yük değerleri 0.92 ile 0.50 arasında; ikinci boyutta yer alan maddelerin faktör yük değerleri ise 0.82 ile 0.37 arasında, üçüncü boyutta yer alan maddelerin yük değerleri ise 0.57 ile 0.44 arasında değişmektedir. Üç faktörün toplam açıkladığı varyans değeri ise %54.53’tür. Doğrulayıcı faktör analizi sonrası IFI değeri 0.91; NFI 0.84; CFI 0.91; REMSEA 0.06 ve X2/sd değeri 2.01 olarak belirlenmiştir. Ölçek son hali ile üç boyut ve 32 maddeden oluşmaktadır. İçerdiği maddelerin niteliği göz önüne alınarak birinci alt boyuta “kişisel özellikler”; ikinci alt boyuta “mesleki özellikler”, üçüncü alt boyuta ise “yönetimsel özellikler” adlandırılması yapılmıştır.
İnsan Hakları, Yurttaşlık ve Demokrasi Dersinde Web 2.0 Araçları ile Desteklenen Yaratıcı Drama Yönteminin Akademik Başarı ve Tutuma Etkisi
Authors: Üçel Zehra , Karagözoğlu Nazike
Published: May 2024

Araştırmanın amacı, İlkokul 4. sınıf İnsan Hakları, Yurttaşlık ve Demokrasi dersinin “Hak, Özgürlük ve Sorumluluk” ünitesinde yer alan kavram ve kazanımların öğretiminde yaratıcı drama yönteminin Web 2.0 araçları ile desteklenerek uygulanmasının öğrencilerin akademik başarı ve tutumuna etkisini incelemektir. Bu araştırma, karma araştırma yöntemi desenlerinden iç içe gömülü deneysel desen doğrultusunda yürütülmüştür. Araştırma, 2021-2022 eğitim öğretim yılı güz döneminde, Yozgat il merkezindeki bir devlet okulunda gerçekleştirilmiştir. Veriler araştırmacı tarafından hazırlanan “İnsan Hakları, Yurttaşlık ve Demokrasi Akademik Başarı Testi”, “İnsan Hakları, Yurttaşlık ve Demokrasi Tutum Ölçeği” ve yansıtma raporları ile toplanmıştır. Nicel verilerin analizinde bağımsız örneklem t-testi ve ANOVA, nitel verilerin analizinde ise içerik analizi kullanılmıştır. Araştırmanın nicel bulguları doğrultusunda deney ve kontrol gurubu öğrencilerinin akademik başarı puanları arasında deney grubu lehine istatistiksel olarak anlamlı bir fark bulunmuştur. Derse yönelik öğrenci tutumlarının bulgularında ise zaman değişkeni açısından istatistiksel olarak bir farklılık bulunurken, yöntem değişkeni açısından anlamlı bir fark bulunamamıştır. Nitel verilerin bulgularına göre deney grubu öğrencileri deneysel işlem sürecinde çok eğlendiklerini, yaratıcı drama etkinliklerini çok sevdiklerini, Web 2.0 araçları ile yapılan etkinlikleri yararlı bulduklarını ve insan haklarına yönelik birçok bilgi öğrendiklerini ifade etmişlerdir. Bu doğrultuda Web 2.0 araçları kullanılarak desteklenen yaratıcı drama yöntemi, öğrencilerin insan hakları, yurttaşlık ve demokrasi eğitiminde akademik başarılarına ve derse yönelik tutumlarına katkı sağlayabilir.
Film Analizi Yöntemi ile Farklı Kültürlere Bakış: Boşanma ve Çocuk
Authors: Çetin Asya , Şirin Şenay
Published: May 2024

Bu çalışmada farklı kültürlerdeki boşanma süreçleri ve çocuğun bu süreçlerden etkilenme durumunun film endüstrisi aracılığıyla nasıl yansıtıldığını incelemek amaçlanmıştır. Araştırmanın çalışma materyalini çeşitli kültürel, sosyal ve yasal farklılıklar taşıyan ülkeler olan Amerika (n=6), Fransa (n=1), Rusya (n=3), Yunanistan (n=1), Türkiye (n=3), İran (n=4) ve Hindistan’ da (n=2) yapılmış boşanma temalı 20 film oluşturmaktadır. Nitel araştırma yöntemlerinden doküman incelemesinin kullanıldığı çalışmada veri toplama aracı olarak araştırmacılar tarafından geliştirilen film gözlem formu kullanılmıştır. Çalışmadan, incelenen filmlerdeki ana karakterlerin evlenme durumlarının çoğunlukla severek olduğu; çiftlerin boşanma sebeplerinin iş yoğunluğu/finansal problemler, iletişim sorunları, aldatma, kültürel farklılıklar ve şiddet olduğu; annelerin boşanma sürecinde başarısız anne imajı ile karşı karşıya kaldıkları, çocukla beraber yeni hayata uyum sorunları ve duygusal zorluklar yaşadıkları; babaların bu süreçte duygusal zorluklar yaşadıkları, velayet süreci, yalnız yaşamaya alışma süreci ve toplumsal baskı yaşadıkları; çocukların ise anne ve babalarının boşanma sürecinde duygusal belirsizlikler yaşadıkları ve akademik performanslarında düşme olduğu; boşanma kararının çocuklar üzerinde şaşkınlık ve şok, üzüntü ve hüzün, öfke ve kızgınlık, şaşkınlık ve şok, suçluluk, endişe ve ayrılma kaygısı yarattığı sonuçları elde edilmiştir. Kültürel zenginlikleri ve farklı perspektifleri yansıtan bu filmler, boşanma ve çocuk konusundaki tartışmaların evrensel boyutunu vurgularken, aynı zamanda bireysel deneyimlerin ve duygusal bağların da ne kadar karmaşık ve derin olduğunu göstermektedirler.
Ortaokul Matematik Öğretmen Adaylarının Oran Kavramına Yönelik Öğrenci Düşünme Modelleri Oluşturma Süreçleri
Authors: Yıldırım Sultan , Yetkin Özdemir İffet
Published: May 2024

Bu çalışmanın amacı, araştırma temelli bir hizmet öncesi eğitim programına katılan öğretmen adaylarının oran kavramıyla ilgili öğrenci düşünme modelleri geliştirme sürecini araştırmaktır. Nitel araştırma yöntemlerinin kullanıldığı çalışmada katılımcılar bir devlet üniversitesinde son sınıfta okuyan dört ortaokul matematik öğretmeni adayıdır. Eğitim programının tasarımı, Bilişsel Yönlendirmeli Öğretim (CGI) ilkelerine dayanmakta olup, öğretmen adaylarının öğrencilerin oran kavramı gelişimine dair araştırma temelli bilgiyle etkili bir şekilde etkileşimde bulunmalarını sağlayan görevleri içermektedir. Çalışmanın verileri, beş oturumdan elde edilen görüşmelerin kayıtlarından ve öğretmen adaylarının görevlere verdiği yazılı cevaplardan oluşmaktadır. Verilerin analizinde öğrenci düşünme modellerini dört süreç (tanımlama, karşılaştırma, çıkarım ve yeniden yapılandırma) ile tanımlayan bir çerçeve kullanılmıştır. Öğrenci düşünmesini açıklarken, öğretmen adayları öğrenci ifadelerini tekrarlamış, öğrenci çözümlerindeki önemli noktalara vurgu yapmış, öğrenci çözüm yöntemlerini ayrıntılı bir şekilde açıklamış veya genel çözüm özelliklerine odaklanmıştır. Karşılaştırma sürecinde öğretmen adayları, öğrenci çözümlerini kendi çözümleriyle açık veya üstü kapalı olarak karşılaştırmış, genellikle kendi veya diğer öğretmen adaylarının düşüncelerine odaklanmışlardır. Çıkarım süreci, öğrenci çalışmalarından gelen kanıtları yorumlamayı içermiştir, bazen gerekçe sunmadan çıkarımda bulunmuşlardır. Öğretmen adayları, öğrenci düşünmesini tahmin ederek ve öğrenci düşüncesini dikkate alan problemler oluşturarak yeniden yapılandırma sürecinde bulunmuşlardır. Oluşturdukları modellerle öğrenci düşünmesini tahmin edebilmişlerdir.
Justification of E-Argumentation Software based on a Needs Analysis in Education Context
Authors: Güneş Erhan , Üstündağ Mutlu Tahsin , Yavuzalp Nuh , Bahçivan Eralp
Published: May 2024

Argumentation can be defined as a process in which claim, data, justification and supports, which are considered the basic building blocks of an argument, are connected together in a meaningful way. Especially in Science Education, argumentation method is known to have positive contributions to the learning-teaching processes. Today, there is much opportunity to integrate digital tools or software in argumentation processes for better learning outcomes. The literature points out the difficulties experienced by teachers and learners in the argumentation processes and emphasizes that digital tools or software can offer solutions to these problems. In this context, a wide variety of software is used to support argumentation processes in education more effectively and easily. The aim of this study is to examine existing argumentation software and to determine the features of a new "E-Argumentation" software, which is supposed to be a better and contemporary solution for argumentation processes, based on a needs analysis.
Existing argumentation software is not rich in terms of multimedia usage and not compatible with group work, which is important in argumentation processes, or with three argumentation approaches in the literature. Furthermore, existing software has serious shortcomings in terms of usability and educational value. As a result, it is clear that there is a need for argumentation software which is compatible with current technologies, pedagogically useful, and has high level of usability and accessibility.
Türkiye Cumhuriyeti'nin 100. Yılında Coğrafya Eğitimi ile İlgili Türkçe Çalışmaların İçerik Analizi (1997-2022)
Authors: Duran Yasin , Aladağ Caner
Published: May 2024

Ülkemizde öğretmen yetiştiren kurumların üniversitelere devredilmesiyle birlikte coğrafya eğitimiyle ilgili çalışmaların sayısı giderek artmıştır. Bu alanda yayımlanan doktora tezleri ile araştırma makalelerinin analiz edilmesi, araştırmacıların yapılmış çalışmalardan haberdar olmasını sağlayacaktır. Türkiye Cumhuriyeti’nin 100. yılında, coğrafya eğitimi araştırmalarında gelinen noktanın değerlendirilmesi yarınlara daha emin adımlarla ilerleyebilmek adına büyük önem taşımaktadır. Bu çalışmayla, coğrafya eğitimi alanında hazırlanmış tez ve makalelerin çeşitli değişkenler bakımından yönelimlerinin ortaya konulması amaçlanmıştır. Nitel araştırma geleneği içerisinde yer alan içerik analizi deseninde gerçekleştirilen bu araştırmanın örnekleminin belirlenmesi için amaçlı örnekleme yöntemlerinden ölçüt örnekleme yöntemi kullanılmıştır. Bunun için Ulusal Tez Merkezi veri tabanında yer alan 102 doktora tezi, TR Dizin veri tabanında yer alan 397 araştırma makalesi olmak üzere toplam 499 adet çalışmaya ulaşılmıştır. Bu çalışmaların analiz edilmesinde her sorunun bir tema olarak değerlendirildiği 40 sorudan oluşan içerik analizi yönergesi kullanılmıştır. Elde edilen verilerin analizinde içerik analizi kullanılmıştır. Araştırmanın bulgularına göre, incelenen çalışmaların büyük bir bölümü 2013 yılında (f=40; %8,02), İstanbul ilinde (f=58; %16,38), erkek araştırmacılar (f=387; %77,56) tarafından ölçme ve değerlendirme konularını (f=146; %29,26) incelemek üzere makale türünde (f=397; %79,56) ve betimsel araştırma deseninde (f=275; %55,11) gerçekleştirilmiştir. Araştırmanın sonuçlarına göre, coğrafya eğitimi alanında nitel ve karma yöntemlere göre hazırlanan, daha az çalışılan konu alanlarında ve farklı örneklem türlerinde daha fazla çalışmaya gereksinim olduğu anlaşılmıştır.
Yabancı Dil Dersine Katılım: Kastamonu Üniversitesi Örneği
Authors: Yaprak Asuman
Published: May 2024

Eğitim-öğretim sürecinin sağlıklı işleyişi ve geliştirilmesi açısından önem teşkil etmesi nedeniyle bu çalışmada, yabancı dil dersi gören üniversite öğrencilerinin derse duyuşsal, bilişsel ve sosyal katılımlarının incelenmesi amaçlanmıştır. Araştırmanın çalışma grubunu Kastamonu Üniversitesi Merkez kampüsünde yer alan fakültelerde yabancı dil dersi gören üniversite öğrencileri oluşturmuş, araştırma modeli olarak ise tarama modeli kullanılmıştır. Verilerin toplanması için “Yabancı Dil Dersi Katılım Ölçeği” kullanılmış ve çalışmaya 455 öğrenci katılmıştır. Elde edilen verilerle değişkenleri ölçmek amacıyla gerekli faktör, varyans ve korelasyon analizleri yapılmıştır. Verilerin analizinden elde edilen öğrenci katılımına ilişkin sonuçlar, öğrencilerin yabancı dil dersine duyuşsal, bilişsel ve sosyal katılımlarının yüksek, duyuşsal katılımlarının diğer alt boyutlara göre daha yüksek olduğunu göstermiştir. Elde edilen bulgulara göre ayrıca öğrencilerin yabancı dil dersine katılımlarının cinsiyet, sınıf, yabancı dil dersi alma süresi, uyruk, fakülte ve algılanan başarıya göre farklılaştığı, algılanan öğretim yöntemine göre ise farklılaşmadığı tespit edilmiştir. Bu sonuçlara dayanarak, bir dizi öneri ve tavsiyede bulunulmuştur.
Updated geographic distributions for Texas reptiles
Authors: Bassett Lawrence , Pandelis Gregory
Published: May 2024

As is the case for many taxa in the Anthropocene, reptile conservation is challenged by an assortment of human-mediated factors. Distributional data for reptile species can be highly useful for informing conservation action. For example, species occurrence data can be used to model suitable habitat as well as quantify contraction, expansion, or shift in the distribution of a species. Texas, USA has a rich reptile fauna including one crocodilian, 32 testudine, 55 lacertilian, and 82 serpent species. However, literature pertaining to the distribution of these species has not been synthesized for over a decade. The goals of our study were to visually summarize all published distributional data for reptile species in the state with updated distribution maps; to tabulate all novel and historic distribution data that is absent from the last statewide synthesis; and to characterize any taxonomic, geographic, or temporal trends of distribution record reporting that have occurred in the state over the last decade. We discovered a total of 659 records that supplement the maps provided in the last statewide synthesis, 40% of which were found in published materials that predate that synthesis. Regarding distributional records published over the last decade, there was no apparent temporal trend – record reporting across years appeared to be stochastic. The number of records published for reptile families generally followed patterns of species richness, although several families had fewer or more records than would be expected. These results might be due to several factors including species biology, variable rates of potential range spread or contraction, and variable research attention (historically and contemporarily). Spatially, we found hot spots of record reporting in the southern, western, and northern portions of the state. We suspect these represent either a contemporary geographic bias of research attention, historically poor range characterization for reptile species occupying these regions, or a combination of both. We also found cold spots of record reporting in the northwestern portion of the Panhandle. These are likely due to natural patterns of reptile diversity as well as geographically biased research attention. Future work to be conducted on reptile distributions in Texas should include a thorough synthesis and revisiting of the voucher specimen data associated with these records.
Analysis of Factors of Sports Migration and the Effectiveness of Competitive Activity of Football Players
Authors: Sobol Eduard , Doroshenko Igor , Svatyev Andrii , Doroshenko Eduard , Tsyganok Vladislav , Shamardin Valerij
Published: May 2024

The purpose of the work: determine the ways of correcting the training process based on taking in to account the influence of sports migration factors on the training of highly qualified football players. 
Material and methods. To assess the impact of factors of sports migration on the effectiveness of competitive activity, the indicators of the competitive activity of football players of the national team of Ukraine in 16 official games during the 2020-2021 and 2021-2022 seasons. Methods of research. Analysis, generalization and systematization of data from scientific and methodological literary sources and the “Internet”, pedagogical observations, content analysis of competition regulations (based on the materials of the official FIFA; UEFA; UAF sites), analysis of performance indicators of competitive activity; method of expert evaluations; methods of mathematical statistics.
Results. The 2020-2021 season: in 62,5% of official games, higher indicators were recorded for football players of the first group (“migrants” and “naturalized” athletes), the range of indicators – from 58.33% to 77.50%. At the same time, statistically significant differences (25.00%) were recorded in 2 games. In one game, higher indicators were recorded for football players of the first group (“migrants” and “naturalized” athletes) and, in one game, higher indicators were recorded for football players of the second group (athletes who were born in Ukraine are national athletes of the UAF and participate in UPL competitions). The 2021-2022 season: in 62.5% of official games, higher indicators were recorded for football players of the first group (“migrants” and “naturalized” athletes), the range of indicators – from 50.01% to 74.16%. No statistically significant differences were recorded. The comparative effectiveness of football players of the first and second groups was 46.15% and 53.85%, respectively.
Conclusion. This state of affairs indicates the need to correct the modern system of multi-year improvement of highly qualified football players based on the development and formation of technologies for the direct training of migrant athletes for official international competitions.
Dynamics of an AI-Driven Mathematical Model of Some Learning Theories
Authors: Obasi Chinedu
Published: May 2024

Objectives.  This paper delves into the intersection of mathematical modelling and learning theory, exploring how mathematical frameworks have been instrumental in advancing our understanding of educational processes and pedagogical practices with the aid of Artificial Intelligence (AI).
Material and methods. Advancing learning theories through mathematical modelling offers several significant benefits and opportunities. This is because mathematical models provide a precise and systematic framework for representing complex educational phenomena, allowing researchers to formalize theoretical concepts, relationships, and mechanisms in a clear and rigorous manner.
Results and Conclusions. This paper focused on such learning theories as cooperative learning theory, Maslow motivation theory, and social learning theory. By employing mathematical models, researchers have been able to dissect complex educational phenomena, elucidate underlying mechanisms, and predict outcomes with a level of precision that traditional qualitative approaches often struggle to achieve.
Study of Conduction Mechanisms in Alkali and Transition Metal Oxides Doped Borosilicate Glasses
Authors:   Department of Physics, Gulbarga University, Kalaburagi, 585106, Karnataka, India, Dyama Aravind , Sankarappa T , Heerasingh Mohansingh , Devidas Ashwini , Jamadar Pallavi , Malge Amarkumar
Published: May 2024

Objectives: To synthesise a unique set of borosilicate glasses of composition, xLi2O + 0.15SiO2 + 0.45B2O3 + 0.05ZnO + (0.35 – x) WO3; (0.25 ≤ x ≤ 0.34) and to investigate conduction mechanisms. Methods: Glasses were synthesized by melt quenching technique. From the XRD spectra samples were conformed to be non-crystalline in nature. Density has been measured by following Archimedes principle and is found to decrease with Li2O mole fractions in the range 2.900 gm/cm3 – 2.495 gm/cm3. DC-conductivity was measured for the temperature range 303K – 525 K using two probe technique. Findings: It was found that these glasses behave like semiconductors in terms conductivity variation with temperature. Conductivity decreased with Li2O content up to 0.33 mole fractions and increases for higher mole fractions. High temperature conductivity variation i.e., above ϴD/2 (ϴD = Debye’s temperature) is found to follow the Mott’s small polaron hopping (SPH) model. Activation energy for conduction above ϴD/2 is found to be in the range 0.282 eV-0.702 eV. Decrease of conductivity and activation energy with increase of Li2O content has been explained in terms of dynamic nature of network and formation of cation-polaron neutral entities. The conductivity below ϴD/2 has been found to follow Mott’s variable range hopping (VRH) models. The density of states at Fermi level derived from Mott’s VRH are found to be of the order of 1023 eV-1cm-3 which are in close agreement with reported ranges for transition metal oxides doped glasses. Novelty: A unique set of mixed conducting borosilicate glasses have been prepared and investigated thoroughly for conduction mechanisms. Keywords: Borosilicate glasses, Density, Conductivity, Activation energy, Density of states
Performance of Relaying System with NOMA over Symmetric a-Stable Noise Channels
Authors:   Department of Electrical and Electronic Engineering, University of Thi-Qar, Iraq, Anwar Huda , Abass Ahmed A Alabdel , Kadhim Rawaa
Published: May 2024

Objectives: This paper investigates the performance of a candidate 5G transmission system technique that is Non-Orthogonal Multiple Access (NOMA) over α-stable channels. This type of channel gets more attention in the research community because of its ability to model new IoT scenarios. However, there is a research gap in applying this type of channel to different wireless communications scenarios. In this work, we envision a scenario where users employ NOMA communications in the presence of an obstacle. As our mathematical analysis and simulation results show, there is a significant difference in performance when considering α-stable channels. Methods: To characterize the performance of the proposed noise channel, performance metrics such as outage probability and achievable rate are discussed. More particularly, we derive expressions for both outage probability and achievable rate for three NOMA users, considering the near user as a relay. In this paper, we consider additive symmetric α-stable noise channels with alpha α ∈ (1, 2). We present expressions for achievable rate and outage probability for each user (near, middle, and far) and investigate its behavior for different values of alpha (α). Findings: Based on the simulation results, it is shown that the high achievable rate observed for low alpha values while reduced as alpha is increased. Also, due to the influence of alpha, the outage probability is highly affected by α for small rate thresholds (Ro). In an envisioned scenario of three users with only one user forwarding the transmission to the other two, our results show that the near and middle users’ outage probability decreases as alpha α increases. Novelty: Despite this extensive study of the NOMA on individual channels, transmission under α-stable channel is not considered to the best of the authors’ knowledge. Keywords: NOMA, relaying, Cooperative Non-Orthogonal Multiple Access, Symmetric α-Stable Noise Channels, Achievable rate
Enhancing Plant Disease Detection using Advanced Deep Learning Models
Authors:   Research Scholar, Desh Bhagat University, Mandi Gobindgarh, Punjab, India, Kaur Kamaldeep , Bansal Khusboo
Published: May 2024

Objective: The aim of this paper is to analyze the efficacy of employing multiple advanced convolutional neural networks (CNNs) for the purpose of enhancing the accuracy in detecting and classifying various plant diseases. Methods: The research involves the analysis of 7623 training images as well as 1906 validation images of different plant diseases and employed advanced deep learning models like DenseNet169, Xception, InceptionV3, MobileNetV2, and ResNet50V2 to classify them. At first the RGB images are converted to Grayscale and later to enhance their quality, few techniques have been used such as Otsu thresholding, noise removal, distance transform, and watershed techniques. Subsequently, contour features are extracted by calculating morphological values to obtain the necessary region that correspond to diseased areas in plant images. Findings: On evaluating the performance of the applied models on the basis of various metrics, MobileNetV2 and ResNetV2 achieved the highest validation accuracy scores of 99.42% each, with their respective loss values of 0.19 and 0.49. In terms of recall, precision, and F1 score, all models, except MobileNetV2 and InceptionV3, attained optimal scores of 0.99 each. Novelty: The novelty of this paper resides in the incorporation of multiple image segmentation techniques with fine tuning the parameters of advanced Convolutional Neural Network (CNN) models on the basis of various factors such as the number of images, size, channel, classes etc to generate the optimal results. Keywords: Agriculture, Plant diseases, Artificial Intelligence, Advanced CNN models, Watershed Technique
Early Assessment of Diabetic Retinopathy by Detecting Microaneurysm with Deep Neural Network
Authors:   Student, Department of CSE, Government College of Engineering, Chhatrapati Sambhajinagar, 431001, Maharashtra, India, Sharma Aditya , Pawar Vikul
Published: May 2024

Objectives: This study aims to detect early signs of diabetic retinopathy, also known as microaneurysm (MA). Early detection of MA can help in diagnosing diabetic retinopathy effectively. Methods: To achieve this objective a method is proposed which is based on a deep learning model that incorporates transfer learning. The dataset used in this study is E-Ophtha which consists of 381 high-quality images. The proposed model consists of three steps which are preprocessing, feature extraction and classification. The method uses CLAHE to enhance the details of the fundus image. The feature extraction step and the classification are done using a deep learning algorithm. The proposed method is compared by using parameters such as Recall, Precision, and accuracy. Findings: The accuracy achieved by the model is about 98.82%-100%, a recall/sensitivity of 100%, and precision is also 100% which is close to the state of the art. This implies that deep learning methods are a good fit for identifying microaneurysms and ultimately detecting diabetic retinopathy. Novelty: Early detection and diagnosis of diabetic retinopathy can be achieved with this approach, and appropriate medication can impede the disease's development. Keywords: Diabetic Retinopathy, PDR, NPDR, Image Processing, Deep Learning
Anisotropy Bianchi Type-III Cosmological Model in Brans-Dicke Theory of Gravitation
Authors:   Department of Mathematics, S. S. E. S. Amravati’s Science College, Nagpur, Maharashtra, India, Gaidhane Parimal W , Pund A M , Lambat P M
Published: May 2024

Objectives: To derive the multi-fluid anisotropic Bianchi type-III cosmological model filled with radiation and matter in the presence of Brans-Dicke scalar-tensor theory. Method: In this paper, we have calculated Brans-Dicke field equations in anisotropic Bianchi type -III space times in the presence of matter and radiation which are minimally interacting fields. To obtain the determinate solution of the model, we considered i) the state of the equation , ii) the shear scalar is directly proportional to the expansion scalar i.e., . Also, consider the deceleration parameter, , where with which yields models with constant deceleration parameter. Findings: This solution shows an anisotropic radiation model in Brans-Dicke's theory. Also, it shows accelerated expansion of the universe and transition of the universe from the deceleration phase to the accelerated phase. Novelty: The derived model's many parameters support recent cosmological findings, indicating the model's good discovery. Thus, within the framework of our established model, we are able to comprehend the cosmic development. Keywords: Bianchi type-III, Brans-Dicke theory, Multifluid, Deceleration parameter, Λ CDM
Corrosion Inhibition by Musa paradisia ca Peel Extract for SS 304 in 1 M Hydrochloric Acid Solution
Authors:   Department of Chemistry, Sankalchand Patel University, Visnagar, Gujarat, India, Patel Jeeni , Patel Dhara D
Published: May 2024

Objectives: To study the corrosion inhibition of Musa paradisiaca peel (MPP) extract for stainless steel (SS) 304. Method: The corrosion rate of stainless steel was studied by weight loss measurements in a 1 M hydrochloric acid solution at different concentrations of MPP inhibitor and at various temperatures, e.g., 298 K, 303 K, and 308 K. Scanning electron microscopy (SEM) was used to study the morphology of the films created on the stainless steel surface in various immersion media at various immersion times. Both potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) examined inhibition efficiency. Langmuir adsorption isotherm studied inhibitor surface adsorption SS 304. Findings: The corrosion rate and inhibition efficiency depend on the concentration of the inhibitor and the temperature. When there is an increase in the concentration of the inhibitor, inhibition efficiency increases, e.g., at 50 mg/l concentration, 77% inhibition efficiency, and at 200 mg/l concentration, 87% inhibition efficiency at 298 K. When temperature increases, inhibition efficiency decreases, e.g., at 200 mg/l concentration, 87% at 298 K, 85% at 303 K, and 83% at 308 K. Novelty: This article provides an eco-friendly corrosion inhibitor for stainless steel 304. Musa paradisiaca peel extract inhibitor was previously used for iron, mild steel, and carbon steel but was not used for stainless steel 304 in 1 M HCl. Keywords: Corrosion, Stailess stell, Inhibitor, Acid
Compounding pharmacy regulations: experience of the Latvian pharmaceutical market
Authors: Mamedov D. D. , Yurochkin D. S. , Zelikova D. D. , Erdni-Garyaev S. E. , Golant Z. M. , Narkevich I. A.
Published: May 2024

The article aims to examine technological, organizational and regulatory aspects of drug quality and safety assurance system, as well as peculiarities in civil circulation of extemporaneous drugs in Latvian pharmaceutical market to improve approaches for statutory regulation of this special and socially significant type of activity of pharmaceutical organizations. This work continues a series of articles about compounding pharmacy practice in different world healthcare systems.
A clinical case of ectopic pregnancy with localization in the liver
Authors: Voynovskiy A. Е. , Zaitseva О. A. , Solopova A. G. , Blinov D. V. , Malykh-Bakhtina М. P. , Bykobshchenko G. К.
Published: May 2024

The article describes a clinical case of ectopic pregnancy with localization in the liver. The patient Sh. was admitted to the gynecological department with pain in the lower abdomen and epigastrium. Clinical, laboratory and instrumental examinations were conducted in accordance with clinical recommendations. The examinations showed that human chorionic gonadotropin level was 17,440.85 mIU/ml. Pelvic ultrasound did not determine the fetal egg in the uterine cavity. However, free fluid in the pelvis (about 50 ml) was found. Repeated pelvic ultrasound revealed a paraovarial formation on the right, and free fluid in the pelvis. Laparoscopic surgery was performed, during which a fetal egg was found in the V segment of the liver. Liver resection and cholecystectomy were performed on an emergency basis. This case describes the importance of timely and correct diagnostics and determination of patient management tactics to prevent the development of life-threatening complications.
Pharmacoeconomic evaluation of first-line combination therapy with immunotherapy drugs and platinum-containing chemotherapy in adult patients with metastatic non-squamous non-small cell lung cancer
Authors: Zyryanov S. К. , Dyakov I. N.
Published: May 2024

Objective: to evaluate the pharmacoeconomic efficacy of “atezolizumab + bevacizumab + paclitaxel + carboplatin” drug combination compared to “pembrolizumab + pemetrexed + carboplatin” combination in adult patients with non-small cell lung cancer (NSCLC) in the first line of therapy.

Material and methods. The modeling was applied for cost minimization analyzis of using compared therapy regimens with comparable efficacy, and to estimate the impact on the healthcare budget when increasing the proportion of patients in the target population receiving “atezolizumab + bevacizumab + paclitaxel + carboplatin” combination. Published adjusted indirect comparison data were used in modeling. The calculations were based on the registered prices according to the state register of maximum selling prices.

Results. The use of “atezolizumab + bevacizumab + paclitaxel + carboplatin” combination instead of “pembrolizumab + pemetrexed + carboplatin” combination will decrease the direct medical costs of therapy per 1 patient for 2 years by 28,165.00 rubles (–0.4%). The budget impact analysis showed that an increase in the proportion of patients receiving “atezolizumab + bevacizumab + paclitaxel + carboplatin” combination from 50% (current therapy practice) to 100% (considered therapy practice) will reduce the budget load for the population of 6,240 patients over 2 years by 256.1 million rubles (–0.64%).

Conclusion. The results of pharmacoeconomic analysis demonstrated that the use of “atezolizumab + bevacizumab + paclitaxel + carboplatin” combination in first-line therapy for metastatic NSCLC is economically feasible and reduces the load on the budget compared to “pembrolizu- mab + pemetrexed + carboplatin” scheme.