3D densely connected CNN with multi-scale receptive fields and hybrid loss for brain tumor segmentation by Fatemehzahra Adib, Maryam Amirmazlaghani, Mohammad Rahmati

“…Furthermore, densely connected blocks are incorporated to improve feature propagation and boost performance. To mitigate the class imbalance problem, a hybrid loss function combining cross-entropy and Dice loss is employed. …”
Get full text

A fast and fully automated system for segmenting retinal blood vessels in fundus images by Alqassab Ans Ibrahim Mahameed, Luque-Nieto Miguel-Ángel

“…The problem of segmenting retinal blood vessels in fundus images arises from the challenges of accurately detecting and delineating vessels due to their complex structures, varying sizes, and overlapping features. …”
Get full text

The Initial Stage of the Formation of teaching experimental Physics at the Imperial Moscow University (1755–1791) by A. A. Yakuta

“…This makes it difficult to build a holistic picture of the development of Physics teaching in a given higher education institution.Statement of the research problem: to study the process of development of teaching experimental Physics at the Imperial Moscow University in the second half of the 18th century.The goal of the research is to identify the features of the initial stage of the formation of forms and methods of teaching the course of experimental Physics at the Imperial Moscow University in 1755–1791, to study the structure and main elements of the content of this course in the period under review.The research method used is the analysis of literary sources (scientific, reference, memoir-biographical) and educational literature (university Physics textbooks of the second half of the 18th century).The results and key conclusions. …”
Get full text

FORMATION OF THE INDIVIDUAL STYLE OF FUTURE TRANSLATORS’ PROFESSIONAL ACTIVITIES: INTERNATIONAL CONTEXT by Oleh A. Lavnikov

“…The main thing in the context of this problem is the creation of academic disciplines that reveal the basics of psychology of communication, imageology, psychology of interpersonal cognition.…”
Get full text

An ESG-ConvNeXt network for steel surface defect classification based on hybrid attention mechanism by Ning Zhang, Ziyang Liu, Enxu Zhang, Yuanqi Chen, Jie Yue

“…Second, we design a parallel multi-scale residual module to adaptively extract diverse discriminative features from the input image, thereby enhancing the model’s feature extraction capability. …”
Get full text

SOFT POWER: TRAINING OF VET TEACHERS AND TRAINERS (RESULTS OF THE RUSSIAN-GERMAN COOPERATION) by E. Yu. Esenina, Hannelore Kress

“…The methods involve the methodology of comparative research; methods of collecting empirical information; conceptual and terminological analysis, interpretation, modeling, and problem method. Results. The approaches to preparation of pedagogical staff of the VET system in Germany and Russia are revealed and compared. …”
Get full text

Nonlocal Moments and Mott Semimetal in the Chern Bands of Twisted Bilayer Graphene by Patrick J. Ledwith, Junkai Dong (董焌锴), Ashvin Vishwanath, Eslam Khalaf

“…The combination of these features leads to a question: Can decoupled moments emerge in an isolated topological band, despite the lack of exponentially localized Wannier orbitals? …”
Get full text

The effect of imbalance data mitigation techniques on cardiovascular disease prediction by Raphael Ozighor Enihe, Rajesh Prasad, Francisca Nonyelum Ogwueleka, Fatimah Binta Abdullahi

“…This study applied various data balancing techniques on a real-life cardiovascular disease (CVD) dataset of 1000 patient records with 14 features obtained from the University of Abuja Teaching Hospital Nigeria to address this problem. …”
Get full text

Hybrid disturbance observer and fuzzy logic controller for a new aerial manipulation system by Alaa Khalifa, Shaaban M. Shaaban, Ahmed Khalifa

“…Aerial manipulation systems are highly attractive for various applications due to their distinctive features. However, the systems discussed in the literature are constrained by either a restricted number of end-effector degrees of freedom (DOFs) or low payload capability. …”
Get full text

VISUAL DIDACTIC REGULATORS OF LOGICAL-SEMANTIC TYPE by V. E. Shteinberg, N. N. Manko

“…., corresponding to psychological features of perception and thought processes. Visualization as the most convenient and compact form of different submission of data is becoming a key civilization trend of the information age.The aim of the publication is to justify the necessity of designing and applying new didactic means – visual didactic regulators of the logical-semantic type aimed at improving of teaching technologies.Methodology and research methods. …”
Get full text

Community-associated methicillin-resistant Staphylococcus aureus skin and soft tissue infections in a pediatric hospital in Argentina by Martha Helena von Specht, Noella Gardella, Clotilde Ubeda, Sandra Grenon, Gabriel Gutkind, Marta Mollerach

“…This study aimed to assess the microbiological, epidemiological, and clinical features of CA-MRSA SSTIs treated at the hospital. …”
Get full text

Automation facilities for agricultural machinery control by A. Yu. Izmaylov, V. K. Khoroshenkov, V. A. Kolesnikova, I. S. Alekseev, S. E. Lonin, N. T. Goncharov

“…Standard hardware, software and communicative features should be realized in tasks of monitoring and control. …”
Get full text

ON THE ISSUE OF MONITORING THE EFFECTIVENESS OF PATRIOTIC EDUCATION OF STUDENTS by Vitalii Y. Kulchytskyi

“…The research does not claim to provide an exhaustive disclosure of all aspects of the specified problem. Further study and development are needed with the methodological bases to ensure the development of the process of patriotic education in the schools of Ukraine. …”
Get full text

Management of Sustainable Development of the Fuel and Energy Complex of the Regional Economic System Based on Digital Technologies by Ekaterina A. Zemlyacheva

“…The relevance of the scientific and practical problem solved in the article is due to the fact that the existing approach to managing the development of the fuel and energy complex in the regional economic systems of Russia, based on state regulation, does not fully ensure its sustainability, therefore it is advisable to activate the market mechanism. …”
Get full text

Classification of histopathological images for oral cancer in early stages using a deep learning approach by Alsaedi Raneem Y., Alsharif Hussam J.

“…Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. …”
Get full text

Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…This paper proposes an improved YOLOv8 algorithm, incorporating adaptive feature extraction and multi-scale fusion modules to enhance feature representation, effectively capturing the details of small objects. …”
Get full text

A Remote Sensing Semantic Self-Supervised Segmentation Model Integrating Local Sensitivity and Global Invariance by Buxun Zhang, Xiaoyan Guo, Sen Yang

“…To mitigate the problem of small object loss during masking operations, a portion of the original pixels is retained. …”
Get full text

Postoperative Non-Surgical Interventions to Improve Urinary Continence After Robot-Assisted Radical Prostatectomy: A Systematic Review by Luigi Candela, Giancarlo Marra, Manuela Tutolo, Lara Rodríguez-Sánchez, Petr Macek, Xavier Cathelineau, Francesco Montorsi, Andrea Salonia, Rafael Sanchez Salas

“…BackgroundThe occurrence of postoperative urinary incontinence (UI) remains a problem for patients undergoing robot-assisted radical prostatectomy (RARP). …”
Get full text

Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…Loads between the road and the vehicle body significantly affect driver health, comfort, and vehicle drive features. Some research shows that the quality of suspension systems is of great importance in vehicle accident rates. …”
Get full text

Pest classification: Explainable few-shot learning vs. convolutional neural networks vs. transfer learning by Nitiyaa Ragu, Jason Teo

“…This dual approach ensures high accuracy with minimal training data while identifying key image features influencing predictions, thereby enhancing transparency and trust. …”
Get full text