Real-Time Object Detector for Medical Diagnostics (RTMDet): A High-Performance Deep Learning Model for Brain Tumor Diagnosis by Sanjar Bakhtiyorov, Sabina Umirzakova, Musabek Musaev, Akmalbek Abdusalomov, Taeg Keun Whangbo

“…This model offers a promising solution for clinical settings where rapid and precise diagnostics are critical.…”
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DisasterAdaptiveNet: A robust network for multi-hazard building damage detection from very-high-resolution satellite imagery by Sebastian Hafner, Sebastian Gerard, Josephine Sullivan, Yifang Ban

“…For this, we first derive a simplified baseline method from the winning solution of the xView2 competition, with greatly reduced complexity. …”
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Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications. by Tengfei Ma, Guangda Lu, Zhuanping Qin, Tinghang Guo, Zheng Li, Changli Zhao

“…These results confirm OP-ZOA's enhanced optimization capability, significantly improving both escape efficiency from local optima and solution reliability.…”
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SETTING AND SOLVING RESEARCH PROBLEMS IN TEACHING MATHEMATICAL DISCIPLINES by Eugene Stegantsev, Аlena Chernienko

“…The purpose of this article is to review the available research on the research approach to teaching, to describe my own experience of setting research tasks in teaching mathematics and organizing their solution by students, to analyze the possibilities of finding sources of research tasks and creating them independently. …”
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Smart Grid Self-Healing Enhancement E-SOP-Based Recovery Strategy for Flexible Interconnected Distribution Networks by Wanjun Li, Zhenzhen Xu, Meifeng Chen, Qingfeng Wu

“…Then, a multi-dimensional improvement of the dung beetle optimizer (DBO) algorithm is implemented through Logistic chaotic mapping, adaptive parameter adjustment, elite learning mechanisms, and local search strategies, resulting in an efficient solution for AC distribution network power supply restoration. …”
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Polyethyleneimine‐Based Cryogels Enabling the Selective and Reversible Adsorption of Chlorine by Alejandro Lorente, Johanna S. Sturm, Merlin Kleoff, Fabio Lorenz, Patrick Voßnacker, Olaf Wagner, Rainer Haag, Sebastian Riedel

“…The cryogels are prepared in an aqueous solution by crosslinking with glutaraldehyde at subzero temperatures. …”
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

“…The reliability of the proposed controller is rigorously tested, demonstrating its ability to deliver robust performance even when operating partially. …”
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On the mechanism of the antiarrhythmic action of fabomotizole hydrochloride in alcoholic cardiomyopathy by I. A. Miroshkina, L. M. Kozhevnikova, I. B. Tsorin, V. N. Stolyaruk, M. B. Vititnova, S. A. Kryzhanovskii, A. D. Durnev

“…The obtained results suggest that antiarrhythmic action of a fabomotizole dihydrochloride in the conditions of ACMP is connected with its ability to suppress abnormal activity of regulatory proteins Epac2 and RyR2, IP3R2 receptors.…”
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Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning by Yulong Ji, Kunjin Zou, Bin Zou

“…Meta-learning methods offer a solution by allowing models to quickly adapt to new tasks, even with a small number of samples. …”
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Magnetic Fluid‐Driven Vine Robots for Minimally Invasive Tissue Biopsy Sampling by Joshua Davy, Thomas P. Dean, Nikita J. Greenidge, Benjamin Calmé, Peter Lloyd, James H. Chandler, Pietro Valdastri

“…Vine robots, a type of continuum robot, offer a promising solution with their unique ability to evert, allowing them to navigate complex environments while reducing friction. …”
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Photocatalytic and Biological Activities of Spherical Shape Cellulose/Silver Nanocomposites Using Xenostegia tridentata (L.) Leaf Extract by Shanmugam Chinnadurai, Sathishkumar Saravanan, Sridevi Chinnathambi, Sivakumar Sivalingam, Govindhan Poongavanam, Sivasubramanian Ganarajan, Baskaran Krishnan, Parthasarathi Bera, Parameswaran Veembil Ramachandra Iyer, Liviu Mitu

“…The Cell/XTLL 60 mM becomes examined in vitro for its ability of human tumor cell growth inhibitory impact on human breast cancer cell line MCF-7 using MTT assay. …”
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Dental Prosthetic Treatments in Cleidocranial Dysplasia: Case Report and Literature Review by Yosra Mabrouk, Sinda Ammar, Amel Labidi, Lamia Mansour, Sonia Ghoul

“…Removable prostheses are a good solution that rapidly restores esthetics and functions. …”
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Мethod for orientation angles forecasting of optical instruments from the international space station with orientation platform by А. A. Lamaka, V. V. Stanchyk, Н. S. Litvinovich, I. I. Bruchkousky, В. I. Belyaev, М. Y. Belyaev

“…However, severe limitations are imposed on the planning of such experiments, primary related to the necessity taking into account the crew’s daily routine and the availability of time allocated for scientific experiments. The solution for expanding the ability to conduct experiments is the employing of automated orientation platforms (OP). …”
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Reinforcement Learning-Based Time-Slotted Protocol: A Reinforcement Learning Approach for Optimizing Long-Range Network Scalability by Nuha Alhattab, Fatma Bouabdallah, Enas F. Khairullah, Aishah Aseeri

“…Low-Power Wide-Area networks (LPWANs) provide a wireless communication solution optimized for long-range, low-power IoT devices. …”
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Physiological adaptation of Alternanthera philoxeroides under water stress condition induced by polyethylene glycol by XU Kai-yang, YE Wan-hui, DUAN Xue-wu, SU Xin-guo, XU Zhi-fang

“…A. philoxeroides plants grown in 1/2 Hogland nutrient solution were treated with polyethylene glycol 6000 corresponding to water potential of -0.15 MPa, -0.30 MPa and -0.50 MPa. …”
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Multiplier leadership optimization algorithm (MLOA): unconstrained global optimization approach for melanoma classification by Sukanta Ghosh, Amar Singh, Shakti Kumar

“…Abstract This paper proposes the multiplier leadership optimization algorithm, which draws inspiration from multiplier leadership principles to search for and optimize solutions to complex problems effectively. Multiplier leaders possess the unique ability to amplify their teams’ collective intelligence and capabilities. …”
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The use of artificial intelligence to assess diabetic eye disease among the Greenlandic population by Trine Jul Larsen, Maria Bråthen Pettersen, Helena Nygaard Jensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Marit Eika Jørgensen, Stine Byberg

“…Applying an AI grading solution, in a Greenlandic setting, could potentially improve the efficiency and cost-effectiveness of DR screening.Method: We developed an AI model using retina fundus photos, performed on persons registered with diabetes in Greenland and Denmark, using Optos® ultra wide-field scanning laser ophthalmoscope, graded according to ICDR.Using the ResNet50 network we compared the model’s ability to distinguish between different images of ICDR severity levels in a confusion matrix.Results: Comparing images with ICDR level 0 to images of ICDR level 4 resulted in an accuracy of 0.9655, AUC of 0.9905, sensitivity and specificity of 96.6%.Comparing ICDR levels 0,1,2 with ICDR levels 3,4, we achieved a performance with an accuracy of 0.8077, an AUC of 0.8728, a sensitivity of 84.6% and a specificity of 78.8%. …”
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Bacteriophage-based strategies for biocontrol and treatment of infectious diseases by Trinh Thi Trang Nhung, Swati Verma, Saravanaraman Ponne, Gautam Kumar Meghwanshi, Thomas Schön, Rajender Kumar

“…The ability of bacteriophages to specifically target pathogenic bacteria while sparing the normal flora makes them attractive treatment options. …”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks. …”
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

“…AI has emerged as a promising solution to enhance vulnerability detection, offering the ability to analyse vast amounts of data and identify patterns indicative of potential threats. …”
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