bluuebunny/crossref_metadata_2025 huggingface dataset:
Automated Plant Disease Diagnosis Using Deep Learning Model
Authors: Ashok Kumar Et al.
Published: December 2023

With the world's population growing, it is vital that food crops and medicinal plants are required to be developed in large quantity. A model that can help us understand the process more comprehensively will be explored. Based on a thorough understanding, we are exploring a model that will enable us to extract the precise information and in-depth knowledge we require. There are many plants that contract lethal diseases every year, including food plants. This reduces their output rates. We must employ automated methods to locate the issue inside the facility if we do not want manufacturing prices to rise. The detection of plant diseases can be automated through robotics and image processing. As a result of recent technological advancements, we now have the ability to simplify our artwork. A deep learning and image processing approach can increase the efficiency of detection processes. A great deal of progress has been made in diagnosing plant diseases. An artificial intelligence model was trained to assist in diagnosing flora disorders. Based on the photo information (leaf), the model can be controlled. Identifying the problem and discovering the condition in this study, we propose the use of computer vision technology combined with fuzzy logic to detect and grade leaf diseases. GLCM is performed to extract texture features, and fuzzy logic is applied to grade the disease. K-means clustering is applied for determining defected areas; GLCM is used to determine defected areas; and fuzzy logic is used for diagnosing diseases. About 70% of classifications are accurate according to the model. By using Speed Up Robust Features (SURF), DENSE, and Bag of Visual Words (BOVW) in addition to the global features, the accuracy of the system can be enhanced. A treatment program will help people better understand the illness if one is offered.
A Comprehensive Review on Intelligent Techniques in Crop Pests and Diseases
Authors: Susheel K. Sai , Rajkumar R.
Published: December 2023

Artificial intelligence (AI) has transformative potential in the agricultural sector, particularly in managing and preventing crop diseases and pest infestations. This review discusses the significance of early detection and precise diagnosis of various AI tools and techniques for disease identification, such as image processing, machine learning, and deep learning. It also addresses the challenges of AI implementation in agriculture, including data quality, costs, and ethical concerns. The analysis classifies the hurdles and AI offers benefits such as improved resource management, timely interventions, and enhanced productivity. Collaborative efforts are essential to harness AI's potential for sustainable and resilient agriculture.
Enhancing Face Recognition with Deep Learning Architectures: A Comprehensive Review
Authors: Bhaidasna Zubin C. , Swaminarayan Priya R. , Bhaidasna Hetal Z.
Published: December 2023

The progression of information discernment via facial identification and the emergence of innovative frameworks has exhibited remarkable strides in recent years. This phenomenon has been particularly pronounced within the realm of verifying individual credentials, a practice prominently harnessed by law enforcement agencies to advance the field of forensic science. A multitude of scholarly endeavors have been dedicated to the application of deep learning techniques within machine learning models. These endeavors aim to facilitate the extraction of distinctive features and subsequent classification, thereby elevating the precision of unique individual recognition. In the context of this scholarly inquiry, the focal point resides in the exploration of deep learning methodologies tailored for the realm of facial recognition and its subsequent matching processes. This exploration centers on the augmentation of accuracy through the meticulous process of training models with expansive datasets. Within the confines of this research paper, a comprehensive survey is conducted, encompassing an array of diverse strategies utilized in facial recognition. This survey, in turn, delves into the intricacies and challenges that underlie the intricate field of facial recognition within imagery analysis.
Developed A Hybrid Optimal Feature Vector Selection with Blockchain Technology for Smart Healthcare 4.0
Authors: G S Gunanidhi , Rajendiran P. Selvi
Published: December 2023

The health economy has been an innovative technology since time-honored. Preserving and maintaining patient data are essential in a routine life. Patient’s medical information is very important for every individual not only for patients but also for doctors who are examining them. Advances in sensing technology, processing of data, and communication protocols have transformed the healthcare industry. Patients, physicians, hospitals, and other stakeholder may keep vital data and medical records with the use of electronic healthcare records (EHR). The goal of research should be to develop a Hybrid Optimal Feature Vector Selection with Blockchain Technology (HOFVS-BT) for smart healthcare 4.0 to improve the secure transmission of data which is supported intelligent IoT and medical detection platform possible. For Feature vector selection, proposed an Orthogonal Wolf Optimization (OWO) algorithm. Furthermore, safeguarding private patient details is taken into account by establishing an upgraded Blockchain-based IoT data security solution that not only secures the data, but also fosters trust between patients/users and healthcare service providers.
Graph-Based Keyphrase Extraction for Software Traceability in Source Code and Documentation Mapping
Authors: Swapnil Shinde, Vishnu Suryawanshi, Varsha Jadhav Nakul Sharma, Mandar Diwakar,
Published: December 2023

Natural Language Processing (NLP) forms the basis of several computational tasks. However,  when applied to the software system’s, NLP provides several irrelevant features and the noise gets mixed up while extracting features. As the scale of software system’s increases,   different   metrics are needed to assess these systems. Diagrammatic and visual representation of the SE projects code forms an essential component of Source Code Analysis (SCA). These SE projects cannot be analyzed by traditional source code analysis methods nor can they be analyzed by traditional diagrammatic representation. Hence, there is a need to modify the traditional approaches in lieu of changing environments to reduce learning gap for the developers and traceability engineers. The traditional approaches fall short in addressing specific metrics in terms of document similarity and graph dependency approaches. In terms of source code analysis, the graph dependency graph can be used for finding the relevant key-terms and keyphrases as they occur not just intra-document but also inter-document. In this work, a similarity measure based on context is proposed which can be employed to find a traceability link between the source code metrics and API documents present in a package.   Probabilistic graph-based keyphrase extraction approach is used for searching across the different project files.
An Efficient Authentication Approach with Optimization Algorithms and Elliptical Curve Cryptography for Cloud Environment
Authors: M. Subhashini K. Shankar,
Published: December 2023

The fast-emerging of cloud computing technology today has sufficiently benefited its wide range of users from individuals to large organizations. It carries an attractive characteristic by renting myriad virtual storages, computing resources and platform for users to manipulate their data or utilize the processing resources conveniently over Internet without the need to know the exact underlying infrastructure which is resided remotely at cloud servers. Security is very important for any kind of networks. As a main communication mode, the security mechanism for multicast is not only the measure to ensure secured communications, but also the precondition for other security services. Attacks are one of the biggest concerns for security professionals. Attackers usually gain access to a large number of computers by exploiting their vulnerabilities to set up attack armies. This paper presents a dual optimizer based key generation method for the improving the authentication with Elliptical Curve Cryptography (ECC) encryption algorithm. The optimal private and secret key for the encryption and decryption are obtained with the optimization techniques like Animal Migration Optimization (AMO), and Brain Storm Optimization (BSO) for strengthening the security in the Cloud Computing environment.
A Business Intelligence Expert System for Predicting Market Price in Stock Trading using Data Analysis: Deep Learning Model With Feature Selection Mechanism
Authors: K. Sujith D. Syinthiya,
Published: December 2023

Because of the availability of data and reasonable processing capability, business intelligence methods are rapidly being used in finance, such as managing assets, trading using algorithms, credit financing, and blockchain-based financing. Machine learning (ML) algorithms use enormous amounts of data to automatically understand and enhance predictability and performance via knowledge and data without being programmed by someone. Due to the stock data’s dynamic, high-noise, non-parametric, non-linear, and chaotic qualities, the stock market prediction has been a challenge and has received much interest from scholars over the last decade. Some studies seek a method for accurately predicting stock prices; however, due to the high correlation between stock prices, stock market analysis is more complex. So, this paper proposes an improved stock price prediction (SPP) model using a novel optimal parameter tuned with cross entropy included bidirectional long short-term memory (OPCBLSTM) with efficient feature extraction and selection schemes. It starts with missing values imputation, and data standardization on the collected dataset. From the preprocessed dataset, the features are extracted using modified rectifier linear unit activation based residual network (MRResNet50). Then the optimal features are selected using the improved whale optimization algorithm (IWOA). Finally, the SPP is done using the OPCBLSTM. The experimental results proved that the proposed method achieves more high-level outcomes than the traditional methods.
Minimizing End-To-End Time Delay in Mobile Ad-Hoc Network using Improved Grey Wolf Optimization Based Ad-Hoc On-demand Distance Vector Protocol (IGWO-AODV)
Authors: N. Kanimozhi Et al.
Published: December 2023

Mobile Ad-Hoc network is one of the instant network with unknown mobile devices. Each and every node in the network may act differently. Because of this time taken to travel packet from source to destination will take more time. This work proposes Improved Grey Wolf Optimization Based Ad-Hoc On-Demand Distance Vector routing protocol for reduce the End-to-End time delay in MANET.
Optimizing Road Transportation Big Data: A Novel Approach for Feature Selection through Optimization Techniques
Authors: B. Sangeetha Et al.
Published: December 2023

Road traffic accidents are very essential for common people, consequential an estimated 1.2 million deaths and 50 million injuries all over the world every year. In this emerging world, the road accidents are among the principal reason of fatality and injury. The concern of traffic safety has heaved immense alarms across the manageable enhancement of contemporary traffic and transportation. The analysis on road traffic accident grounds can detect the major aspects quickly, professionally and afford instructional techniques to the prevention of traffic accidents and reduction of road traffic accident, which might significantly decrease personal victim by means of road traffic accidents. Data Mining techniques are used in the process of knowledge discovery for many domains’ problems. Feature Selection plays a vital role for a large number of datasets. In this research work, the model involves two main phases (i) Feature Selection and (ii) Classification. Since the length of feature vector tends to high, optimal feature selection technology is included, from which the most relevant features are selected by the Lion-based Firefly Algorithm which is referred as Optimization based Feature Selection Method (OFSM). The main objective of this paper is projected on minimizing the correlation between the selected features, which results in providing diverse information regarding the different classes of data. Once, the optimal features are selected, the classification algorithm called Neural Network (NN) is adopted, which can classify the data in an effective manner with the selected features.
An Enhanced Support Vector Machine based Multiclass Classification Method For Crop Prediction
Authors: A. Tamilmani Et al.
Published: December 2023

Crop type classification is a fundamental task in precision agriculture, enabling informed decision-making for crop management and resource allocation. Support Vector Machines (SVMs) have emerged as robust and effective tools for multi-class classification tasks. This study explores the application of SVM-based multi-class classification techniques to accurately categorize various crop types based on remote sensing data. he SVM algorithm is employed to create decision boundaries that maximize the margin between different crop classes while minimizing classification errors. To enhance classification performance, various kernel functions such as linear, polynomial, and radial basis function are evaluated to capture complex relationships within the data. The proposed SVM-based approach is compared with other commonly used classification methods to assess its superiority in terms of accuracy, precision, recall, and F1-score.
Effective Prognosis of Diabetes Using Machine Learning Techniques
Authors: Atheeq C Et al.
Published: December 2023

Diabetes has emerged as a primary disease in most of the nations like China, India and United States. unchecked Diabetes leads to serious health issues which can cause damage to human tissues and organs. The presence of high sugar quantity in the blood stream is the specific cause of diabetes. However, this disease isn’t curable and can solely be controlled. If it is not medicated, it will cause many difficulties. This difficulty might end up in death. Severe difficulties lead to foot sores, cardiovascular disease and eye blurriness. The aim of this project is to build a system which could predict the patient’s diabetic also called sugar risk level with a higher accuracy. Model development is based on categorization algorithm like random forest, logistic regression and k-nearest neighbour algorithms. The performance of each algorithm is analysed and the model with highest accuracy is chosen for prediction of diabetes.
Development Model of Higher Education Cluster in Chengdu and Chongqing
Authors: Lin Tang Et al.
Published: December 2023

This study endeavors to investigate the influencing factors behind the development of higher education clusters in the Chengdu-Chongqing region and establish a model aimed at enhancing their effectiveness. To achieve this objective, a Likert Scale was employed, comprising four primary dimensions, 14 secondary dimensions, and 39 items, initially validated through a pre-survey and SPSS software analysis. Subsequently, 405 valid questionnaires were collected from government officials, university administrators, and business leaders in the Chengdu-Chongqing region through an online platform and email. SmartPLS software was then used for analysis, confirming strong reliability and discriminant validity of the survey data. Further structural analysis revealed no issues of collinearity and identified government, universities, and enterprises as positively influencing factors on the Chengdu-Chongqing higher education cluster’s effectiveness. Eight secondary dimensions and 17 items were identified as positively impacting cluster effectiveness, leading to the formulation of a government-university-enterprise model for higher education cluster development in the Chengdu-Chongqing region.
Teaching Evaluation System on Engineering for Applied University in China
Authors: Mingming Luo Et al.
Published: December 2023

This research presents a novel Teaching Evaluation System model designed to enhance the quality of education in Chinese applied universities with a focus on engineering programs. The objectives included synthesizing relevant theories related to teaching evaluation systems in applied university engineering and developing a comprehensive system. A population of 9 experts from China was selected through purposive sampling, all qualified and with a minimum of five years' experience as Assistant Professors at the same university. SPSSPRO was employed for data assessment, ensuring questionnaire reliability with a Cronbach's ? of .823, indicating excellent reliability. The research result, with an average score of 4.6358, SD. = 0.4655, CV = .1008, IQR = 1, demonstrated a strong agreement among expert opinions. Utilizing the Analytic Hierarchy Process (AHP) for weighting analysis and assessing matrix consistency, CR = .039 < .1, suggested sufficient consistency for decision-making. The research employed focus groups to discuss the evaluation system for Chinese applied university engineering education, utilizing the CIPP model, modifying the evaluation index system, and employing AHP for indicator ranking. A case study at Sichuan University of Science & Engineering, using the new evaluation index system, revealed program issues, and offered recommendations. The index system comprises four first-level, 12 second-level, and 52 third-level indexes, providing a reflective evaluation of the actual relationships among indicators and serving as a valuable reference for assessing engineering education quality.
Research on Influencing Factors of College Students’ Online Learning Effectiveness and Satisfaction Based on the Structural Equation Model
Authors: Yanping Dai Et al.
Published: December 2023

This study aims to develop a model elucidating the factors influencing the effectiveness and satisfaction of online learning for college students. Employing structural equation model analysis and empirical research, the paper explores the interaction paths, degrees of association, and influence mechanisms between various elements and the effectiveness and satisfaction of e-learning. Three significant prospective variables were identified, including knowledge construction, teacher-student interaction, and information processing, along with 32 observed variables. A questionnaire was formulated based on these observed variables, and professionals were requested to review and finalize the formal questionnaire. The study population comprises 389 online college students from diverse schools and majors utilizing Chinese institutions’ MOOC online learning platforms. Selected through deliberate random sampling, these students have engaged in online study for over a year. Statistical analysis using SPSS 24.0 and model testing, refinement, and production using AMOS 24.0 revealed key findings: 1. Knowledge construction, teacher-student interaction, and information processing significantly and positively impact online learning for college students. 2. Clear positive associations exist with direct positive correlations. 3. Variances in learning effects and student satisfaction are noted between geographies and school types. 4. Specific learning differences are observed between male and female students. Based on these findings, educators are advised to define teachers’ roles in online learning, nurture students’ information processing and knowledge construction abilities, design diverse course resources and interaction modes, optimize information software and hardware facilities, and create a supportive external environment to offer substantive guidance and support.
Development of Entrepreneurship Opportunity Identification Course in Entrepreneurship Education Program for Engineering Students at Jiaxing University
Authors: Yanan Hu Et al.
Published: December 2023

The research objective was to explore the influence of the EOI course on the EOI ability of engineering students and, based on this, develop and validate the EOI course on the EOI ability of engineering students in Jiaxing University. Phase 1 used a post-test quasi-experimental group and control group design. The experimental group took compulsory and elective EEP courses, while the control group only took the compulsory EEP courses. The researcher administered a questionnaire to both groups on the effect of EEP on EOI. In Phase 2, a pretest-posttest quasi-experimental design was used to conduct the developed course intervention experiment with the experimental group. A pretest-posttest questionnaire and a structured interview survey on EOI abilities were administered. The research results showed that Phase 1 confirmed that EEP and EOI are positively correlated, but the current EEP is not significant in improving the EOI ability of engineering students. Phase 2 confirmed that the EOI training course developed with the combination of research results and theoretical basis could effectively improve the EOI ability of students. This research provides multiple avenues for future research, such as the survey methodology that could be used to develop the curriculum. It would be beneficial to conduct further empirical testing on how the developed curriculum influences students' EOI in more specific aspects for future research.
Exploring The Effect of Wheat Grass Juice on Thalassaemia: A Comprehensive Review
Authors: Rahul Hait  , Annasha Das  , Rupali Dhara Mitra
Published: December 2023

Thalassemia is a hereditary blood disorder characterized by a deficiency in the oxygen-carrying protein (haemoglobin) and a reduced number of red blood cells in the body compared to normal. Mild forms of thalassemia may not necessitate treatment, while severe cases may require blood transfusions or a stem-cell transplant from a donor. Wheatgrass extract is seen as a supplementary treatment option for thalassemia, although research in this field is still in its early stages. Wheatgrass is a low-calorie substance but rich in essential nutrients, including antioxidants like glutathione, vitamin C, and vitamin E that plays a crucial role in combating harmful free radicals in the body, reducing oxidative stress, and providing protection against conditions such as arthritis, cancer, and neurodegenerative diseases. The proposed mechanism behind wheatgrass extract involves the swift absorption of chlorophyll and its action at the cellular level in the bone marrow, facilitating heme production. Treatment with wheatgrass tablets has been found to maintain serum ferritin levels and increase HbF levels in children with thalassemia who undergo frequent blood transfusions. However, it does not appear to reduce the frequency of blood transfusions required. Wheatgrass tablets also contribute to an improved quality of life for children with thalassemia. The present study aims to investigate the effectiveness of wheatgrass therapy in patients with transfusion-dependent anemia, further extensive studies involving a larger patient population would be necessary.
Work-Related Musculoskeletal Disorder an Increasing Concern in Garment Industry
Authors: Resham Sah  , Rishab Chakraborty  , Pratiti Ghosh  , Jagannath Ghosh  , Prasun Haldar
Published: December 2023

Background:  Musculoskeletal Disorders (MSDs)-related occupational health concerns are becoming a growing problem for the clothing industry, which is influenced by the repetitive tasks, prolonged static postures and poor ergonomic conditions that characterise the nature of work in this industry. This study aims to provide a thorough assessment of the numerous musculoskeletal problems that are prevalent in the garment industry and to recommend useful intervention strategies to mitigate their consequences. Methods:  One hundred thirty textile workers aged between 25 to 45 years were taken randomly from five different textile manufacturing sites of Baranagar, West Bengal. A modified Nordic musculoskeletal questionnaire was applied to evaluate the postural stress of the garment’s workers. The discomfort/pain intensity in different body parts were evaluated by Body Part Discomfort (BPD) scale . Appropriate statistical tests were applied. Results: Discomfort or pain in hip and lower back were found to be maximum among workers. Conclusion: Pain, discomfort and postural stress among various body parts like upper back, lower back and hip are verry much common for the workers. Despite efforts to deal with these problems, more thorough research and efficient intervention strategies are required to reduce musculoskeletal ailments in the garment industry..
FONKSİYONEL DERECELENDİRİLMİŞ GÖZENEKLİ SANDVİÇ KİRİŞLERİN ZORLANMIŞ TİTREŞİM ANALİZİ
Authors: CHOPAN Ajmal , NOORI Ahmad Reshad
Published: December 2023

Bu çalışmada, fonksiyonel derecelendirilmiş gözenekli malzemeden yapılmış sandviç kirişlerin elastik ve viskoelastik zorlanmış titreşim davranışı teorik olarak incelenmiştir. Üç tabakadan oluşan sandviç kirişin alt ve üst katmanı izotropik homojen ve çekirdek tabakası ise gözenekli malzemeli olarak modellenmiştir. Modellenen kirişlerin sonlu elemanlar metodu ile analiz edilebilmesi için ANSYS programı kullanılmıştır. Ele alınan yapı elemanlarının sonlu eleman modellerinin kurulması için birinci mertebeden kayma deformasyon etkisine dayalı BEAM189 elemanı kullanılmıştır. Kirişin kesit özelliklerinin üniform olduğu varsayılmıştır. Analizlerde simetrik, üniform ve monolitik olmak üzere üç çeşit gözenek fonksiyonundan faydalanmıştır. Kesit kalınlığı boyunca elastiste modülü ve yoğunluk değişken olarak, Poison oranı ise sabit olarak alınmıştır. Kirişler ankastre – ankastre, ankastre – sabit, sabit – sabit ve ankastre – serbest olarak modellenmiştir. Malzeme değişim katsayısının, malzeme değişim fonksiyonun, çeşitli sınır koşullarının ve sönüm katsayılarının dinamik analiz üzerindeki etkileri detaylı bir şekilde araştırılmıştır. Bu çalışmadan elde edilen sonuçlara göre malzeme gözenek fonksiyonu ve malzeme değişim katsayıları dinamik analizin sonuçlarından genlik ve periyot değerlerini önemli ölçüde etkilediği görülmüştür. Viskoelastik durumunda sönüm oranı arttıkça genlik değerlerinin daha hızlı bir şekilde küçüldüğü gözlemlenmiştir.
DOKU MÜHENDİSLİĞİ UYGULAMALARI İÇİN GELİŞTİRİLEN TAŞINABİLİR ELEKTROEĞİRME CİHAZLARI
Authors: YILMAZ Merve , EKREN Nazmi
Published: December 2023

Bu makale, doku mühendisliği uygulamalarına odaklanarak taşınabilir elektroeğirme teknolojisindeki mevcut gelişmeleri bir araya getirmektedir. Elektroeğirme, nanofiber üretimi için kullanılan bir yöntemdir ve son yıllarda büyük ilgi görmektedir. Ancak, elektroeğirme cihazları genellikle büyük ve ağır olduklarından sadece laboratuvar ortamında kullanılmaya elverişlidir. Bu nedenle yara ve yanık tedavisi gibi acil tıbbi müdahale gerektiren laboratuvar dışı uygulamalarda büyük önem taşımaktadır. Cilt yenilenmesi ve doku mühendisliği alanında da umut verici sonuçlar vermektedir. Bu makalede taşınabilir elektroeğirme cihazları iki ana kategoriye ayrılacak ve her bir bölüm ait örnekler incelenecektir. İlk kategori, şebekeye bağlı çalışan taşınabilir elektroeğirme cihazlarıdır. İkinci kategori, pille çalışan taşınabilir elektroeğirme cihazlarıdır. Her iki kategoriye ait elektroeğirme cihazlarının kullanımı ve avantajları hakkında detaylı bir inceleme yapılmaktadır. Ayrıca bu makale, taşınabilir elektroeğirme cihazlarının doku mühendisliği uygulamalarında kullanımına dair bilgi vermektedir.
INVESTIGATING CUTTING FORCE AND CUTTING POWER WHEN TURNING AA6082-T4 ALLOY AT CUTTING DEPTHS SMALLER THAN TOOL NOSE RADIUS
Authors: AYDIN Kutay
Published: December 2023

Aluminum alloys are widely preferred engineering materials in the manufacturing industry due to their high formability, good mechanical strength, and low density. Machining problems in aluminum alloys include built-up-edge formation, chip rupturing, and low surface quality, particularly in the 6xxx series due to the high Si content in the machining area. The aim of this study was to investigate the influence of cutting depth smaller than the tool corner radius, and various cutting parameters on cutting force and cutting power in machining AA6082-T4 alloy. In this context, the Johnson-Cook material model was established for AA6082-T4 alloy, and machining behaviors in terms of cutting force, and cutting power were investigated by performing finite element method (FEM) analyses using a full factorial design and variance analyses with different machining parameters. In conclusion, the lowest cutting forces were achieved with a cutting depth of 0.3 mm and a feed of 0.1 mm/rev, and the lowest cutting power was obtained with a cutting speed of 300 m/min, a cutting depth of 0.3 mm, and a feed of 0.1 mm/rev. In addition, the most effective machining parameters have been determined as cutting depth with a ratio of 91.74% for cutting force and cutting speed with a ratio of 33.13% for cutting power based on the results of variance and regression analysis.
KAPASİTELİ TEK ATAMALI YEŞİL ANADAĞITIM ÜSSÜ KAPSAMA AKIŞ PROBLEMİ
Authors: ŞENER Nazmi
Published: December 2023

Yeşil tedarik zinciri uygulamalarına geçişin arkasında yükselen çevresel ve ekonomik endişeler bulunmaktadır. Düzenleyici kurumlar, karbon emisyonları ve gürültü kirliliği gibi unsurlara odaklanarak, taşımacılığın çevresel etkilerini hafifletmeyi amaçlamaktadırlar. Çalışmamız, ideal anadağıtım üssü konumlarını belirleyerek tek atamalı anadağıtım üssü kapsama akış problemiyle başa çıkan yenilikçi bir optimizasyon modeli sunmaktadır. Standart anadağıtım üssü problemlerinden farklı olarak, modelimiz anadağıtım üssü kapasite sınırlarını anlamaktadır. Bir kapasite maliyet fonksiyonunu sisteme entegre ederek, genel ağ emisyonlarını yönetirken kapasiteyi de yönlendirmektedir. Ayrıca, anadağıtım üssü kapasitelerinin kısıtlamaları gibi çeşitli parametrelerin, en iyi çözümleri nasıl dönüştürebileceğini de dikkate almaktadır. Geleneksel modelleri geride bırakmak için, endüstri ve geleneksel kaynaklardan elde edilen yeni bir veri seti oluşturulmuştur. Ardından, önerilen model kapasite düşüncelerini göz ardı eden modellerle karşılaştırılmıştır. Bu bütüncül anlayış, önerilen modellerin daha iyi performans ve yeşil sonuçlar sağladığını göstermektedir. Özünde, çevresel korumayı lojistik optimizasyon ile birleştirerek, tedarik zinciri yönetiminde yeni başlayan çağa katkıda bulunulmuştur. Diğer modellerin göz ardı ettiği karbon salınım maliyeti düşüncesini dikkate alarak daha verimli ve çevre bilincine sahip bir lojistik ağı oluşturulmuştur.
The Evolution of the Budget Process of the Russian Federation in the context of Transformation of Budget Legislation
Authors: Boltinova O. V.
Published: December 2023

The paper is devoted to the study of the budget process — its legal and doctrinal definitions, the stages of the budget process and the main changes that have occurred in the legal regulation of the budget process. The paper compares the positions of researchers — representatives of financial and legal science on these issues. According to the results of the study, it is concluded that the budget process is a multifaceted and multidimensional category of financial law in the process of constant transformation and development. It is pointed out that there is currently no legal definition of the concept of «stage of the budget process»; this gap should be eliminated by supplementing Article 6 of the Budgetary Code of the Russian Federation. In addition, it can be concluded that most authors, repeating the provisions of the budget legislation, distinguish four stages of the budget process. The concept of a four-stage budget process is the most correct and justified, since it arose as a result of a long evolution of the budget process. At the same time, each stage reflects a separate stage of the budget process, characterized by its own procedures, deadlines, participants, their powers and other essential aspects. At the same time, despite the apparent static nature, manifested in the immutability of the number and sequence of stages of the budget process, its content is constantly changing and being supplemented. The modern budget process strives for a wider application of a program-oriented approach, coupled with the simultaneous introduction of innovative digital technologies. It can be expected that digitalization will continue to have an impact on the content of the budget process in the foreseeable future.
“Fleeing heir of the Kemalists”. A Picture of a Revolutionary Entourage in the Face of the Challenges and Threats Tugging Contemporary Anatolia
Authors: Broccato Daniel
Published: December 2023

The article attempts to carry out a comparative analysis of the 20th-century socio-political conditions and their influences that contemporarily shape the implementation of the provisions of the Kemalist ideology in the Republic of Turkey. Based on the six-pillar principles of Kemalism, the author examines their actual participation in creating the foundations of democracy. The article presents the elementary phases of creating historical myths and characterizes the policy pursued in this area. In particular, the occurrence of antagonisms and the revolutionary entourage of modern Anatolia are explored. The existence of a “parallel state”, military coups, as well as the widespread infiltration of Fethullah Gülen’s supporters into state structures are distinguished. The author searches for connections between the creation of the “desirable citizen” model and civil disobedience initiatives. The evolution of party systems attempts to revive the intact legacy of Mustafa Kemal and the case of progressing conservatism in the light of Kemalism are issues to which an important place is also devoted in the article. It boils down to showing the evolution of swinging motion in the Turkish understanding of democracy.
The Hungarian-Czechoslovak Relations from the Hungarian Perspective (1990–1992)
Authors: Sáringer János
Published: December 2023

As a result of the first free and democratic elections in Hungary, in May 1990, József Antall formed a government, whose foreign goal was the restoration of the sovereignty of Hungary and the support and representation of the Euro-Atlantic integration and of the Hungarians across the border. In the Hungarian-Czechoslovak bilateral relations, the new Hungarian government’s aim was to expand the political relations in both federal and republican levels. It was Hungary’s interest that serious legacies, such as the issue of the Bős-Nagymaros Dam system, should not hold back the general advance, therefore, a solution appropriate for both parties had to be found. The paper presents the Hungarian-Czechoslovak relations from the Hungarian perspective in the years 1990–1992.
Austria’s Attitude Towards the Integration of the Western Balkans with the European Union
Authors: Godlewska Ewa
Published: December 2023

The article indicates the following research problems: a) what is the significance of the Western Balkans for Austria and what was Austria’s position towards the plans for the EU enlargement to include the Balkan states, b) what was the public opinion’s attitude towards the above-mentioned plans and whether it had an impact on Austria’s actions at the EU level and c) were the attitudes presented consistent and uniform with respect to all candidate countries (or having the status of potential candidate countries)? The article assumes that this region is a priority for the Austrian government in terms of expanding European integration, and this approach remains unchanged and independent of internal and external factors. It was also hypothesized that Austria had an effective influence on the EU enlargement process.
History Hidden In The Trademarks Of An Old Book
Authors: Dobrowolska Kinga , Mielniczuk Iwona
Published: December 2023

The article presents various historical clues that carry ownership marks placed in books over many years. The inspiration for the creation of this article was the provenance of ink stamps placed on the pages of Gustaw Daniłowski's poem "On the Island", a publication in the collection of the Main Library of UMCS. On the basis of the ink prints read, the authors of the article follow the fate of Lublin residents and socio-cultural organizations from the turn of the nineteenth and twentieth centuries. Thanks to the information obtained about the owners of trademarks, the authors have the opportunity to present the documented path of both the book itself and people associated with it at the turn of the nineteenth and twentieth centuries.
In-Faculty Practicum for TEFL Undergraduates at a Specially Created, On-The-Premises Language School: A Study in Innovation
Authors: Gráf Tomáš
Published: December 2023

Teacher trainees often consider the practicum to be the most critical aspect of their pre-service training. However, its duration is frequently insufficient, necessitating teacher-trainers to explore methods of increasing the trainees’ direct teaching experience. The present study focuses on one such attempt – the establishment of a language school within a faculty – and its six-year existence. The study examines how participating teacher trainees received the project, with 30 of them taking part in a survey, which forms the basis of qualitative analysis and an overall project evaluation. Responses from the participating trainees reveal that they perceive the program as a unique and the most beneficial part of their teacher-training period. The trainees report having made significant progress, particularly in areas such as workload management, lesson-planning, utilization of materials, addressing students' needs, and general teaching fluency. The project's Director of Studies conducted observations to evaluate these areas, and the results align with the trainees' self-evaluations. The project is an innovative practicum type that encourages reflective practice and has led to changes in the ELT training carried out by the faculty.
Advanced EFL Students’ Practices in Formal and Informal Language Learning Settings: An Exploratory Study of Learner Agency
Authors: Chodkiewicz Halina
Published: December 2023

This paper addresses the issue of agency that could be traced in the performance of advanced Polish learners of EFL, students of English philology. The study presented in the paper set to investigate the students’ self-reports on learning goals, behaviours and strategies typical of their language-based practices. The students were instructed to describe and reflect on all the learning activities they were involved in in both formal and informal settings by writing their reflective learning journals throughout a week’s time. The examination of the data has provided a picture of the students’ engagement in an interplay of academic and self-directed practices, which helped them meet different goals and ultimately contributed to the improvement of their language proficiency. The students demonstrated an awareness of language learning processes and an ability to reflect on aspects of their agency, referring, among others, to their intentions and motivations in pursuing their objectives.
The Teacher as an Artist: Perspectives on the Role and Qualities of the Teacher as an Artist in the Age of Change and Instability
Authors: Winther Josefin
Published: December 2023

This article aims to provide new viewpoints on the role of the teacher by combining epistemological and artistic perspectives on education. In the age embossed by change and instability, the teacher must build a role that facilitates the development of resilient and independent pupils. A point of emphasis in the article is to renegotiate the view of knowledge and how knowledge can be attained. The “abyssal thinking” of Western modernity, which is heavily reliant on abstract intellectual thinking, is imbedded in the current educational system, which causes profound challenges in the encounter between individuals and education. These challenges come to expression in increasing mental illness and pedagogical challenges in schools and classrooms, as more pupils cannot cope with current demands and expectations. To address these complex challenges, the teacher needs new conceptual and practical tools to provide an education that can accommodate the entirety of human existence and potential. This is where artistic perspectives and approaches can prove highly potent and beneficial for further development of education. The article utilizes perspectives on education from Pestalozzi, Steiner, Freire, and Biesta. The educational dimensions are discussed in light of epistemological theories from Buber and Heron, which is expanded by the relation between art and freedom as formulated by Arendt, Tolle, Klein and Csikszentmihalyi. The complexity of society is likely to increase even further, and hence pupils will need new and more profound tools. These tools are necessary not only to tackle life, but to become resilient and independent creators of it. The article aims to point out areas of potential development, that can provide pupils with necessary emotional and existential support and means of expression.
Teacher Towards New Digital Technologies
Authors: Kowalczuk Karol
Published: December 2023

The changes that are currently taking place in the education process are to a large extent the result of technological transformation dynamically transforming the social space. A natural consequence of the continuously growing educational needs of modern digital students is the effective use of pedagogical innovations based on digital solutions. Despite the changing reality, the teacher is still largely responsible for preparing students to function in the modern knowledge society. The awareness of educators in this area is increasing and they are aware of the need to move away from ineffective models in favour of an active model by improving their own qualifications and using IT resources in the education process. The aim of the article is to present new technologies as a determinant of changes in the educational process and to present models according to which teachers can effectively improve their own digital competences, which are so important in the modern didactic reality.
Varied Dimensions of Educational Change – Examples from Finland and Poland
Authors: Suwalska Arleta
Published: December 2023

The article begins with a review of literature on particular reasons for implementing educational change. The subsequent part analyses the causes of educational stability in Finland. The next part of the paper refers to the features characterizing the prestige of Finnish teachers and their professional stability in society. Finally, the third part stipulates the reasons for the instability of Polish educational transformation since 2017. It scrutinises politically-driven educational changes, the sources roots of teachers’ lack of prestige and stability in Polish society. The documents concerning the subject of the analyses were studied by means of a problem method, taking into account factors related to time and the influence of society.
Anthropomorphizing the State in IR Theory
Authors: Loshkariov I.
Published: December 2023

There are several problems in the modern theory of international relations that are difficult to solve, but the very existence of which leads to a certain demarcation of possible and received knowledge. These phenomena include the problem of ‘anthropomorphizing’, which is an attribution or an identification of certain human characteristics with complex social actors, including, above all, states. This research technique is often not limited to the use of any figures of speech and serves to ascertain the ontological and epistemological foundations for further theorizing. The purpose of this article is to systematize the existing approaches to ‘anthropomorphizing’ and put forward further directions for understanding this theoretical problem. The author reconstructs the three main traditions of ‘anthropomorphizing’ – back to the works of Hugo Grotius, Thomas Hobbes and Georg Hegel. Each tradition has both a certain understanding as regards the meaning of this research technique and ontological along with epistemological consequences, which implicitly affect the result obtained. The tradition of Hugo Grotius is distinguished by a metaphorical understanding of ‘anthropomorphizing’ associated with a peculiar perception of the rights and freedoms of the individual. On the contrary, the tradition of Thomas Hobbes considers the internal characteristics of the state in comparison with a person while similarities are used to raise new research questions. Finally, the last tradition arose under the influence of Georg Hegel. It connects the problem of ‘anthropomorphizing’ with the processes of external communication of states. The article provides an orderly interpretation of ontological and epistemological consequences as well as the traditions that are linked to existing theoretical schools (as much as possible). The author analyzes the synthesis of several traditions of ‘anthropomorphizing’ presented by constructivist Alexander Wendt. The emerging tradition of ‘anthropomorphizing’ is aimed at clearly defining its own epistemological and ontological foundations while raising the theoretical status of ‘humanization’ itself. As a result, the article concludes on the possibility, limitations and prospects of revisiting and more actively using the concept of ‘anthropomorphizing’ in reflectivist and neopositivist methodologies, as well as the likelihood of hybrid versions of the three main research traditions.
Hypersonic Weapons: Evolution or Revolution?
Authors: Chekov A. , Babkina S.
Published: December 2023

Hypersonic strike systems have become a driving force in the development of offensive weapons. Academic literature offers two perspectives on the prospects of their impact on the military-strategic situation. One approach tends to position hypersonic weapons as a revolutionary technology, while the other proceeds from the premise that hypersonic strike systems represent an evolutionary development of offensive systems. The objective of this article is to establish the specifics and limits of the hypersonic weapons impact on the existing military-strategic balance. The paper analyzes the problem of hypersonic weapons classification, their role and place in military strategy, as well as the evolution and prospects of the Russian, U.S. and Chinese programs on hypersonic weapons. The authors conclude that the advantages of hypersonic weapons cannot automatically be transformed into a guaranteed success amid a full-scale military conflict and are largely available to other strike systems based on less advanced technological solutions. The key scenario, where the benefits of hypersonic weapons can be realized the most, is a limited conflict, in which they are used for the surprise defeat of highly-protected priority targets and the establishment of theater domination. This is evidenced by the hypersonic development programs of the leading military powers – Russia, the United States, and China, – each of which is more or less committed to developing medium- and short-range systems. The implications of the unfolding hypersonic arms race for strategic stability are ambiguous. On the one hand, forward deployment of such systems increases the risks of escalation; reduced flight time to enemy strategic infrastructure facilities encourages the adversary to adopt more aggressive retaliation postures based on the principle of launch-on-warning rather than post-attack. On the other hand, the possession of hypersonic weapons by both sides in the same theater increases their mutual vulnerability and can thus play a stabilizing role.
Politicizing Ecology: a Critical View
Authors: Stolyarova E.
Published: December 2023

Selby J., G. Daoust, and C. Hoffmann. Divided Environments: An International Political Ecology of Climate Change, Water and Security. Cambridge University Press, 2022. 362 p.