A model for classifying information objects using neural networks and fuzzy logic by Vadym Mukhin, Valerii Zavgorodnii, Viacheslav Liskin, Sergiy Syrota, Aleksandra Czupryna-Nowak, Bohdan Rusyn, Arkadiusz Banasik, Jacek Woloszyn, Wojciech Kempa

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AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Compared with other state-of-the-art methods on two colorectal cancer datasets and a pan-cancer dataset, AER-Net demonstrates outstanding performance, validating its effectiveness in nuclear segmentation and classification.…”
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Systemic photodynamic therapy with photosensitizer photolon in the treatment of cancer patients with regional and distant metastases by M. A. Kaplan, A. M. Shubina, I. A. Zamulaeva, E. I. Selivanova, E. G. Kuz’mina, N. P. Tkachenko, I. G. Zakurdyaeva, V. N. Kapinus, E. V. Goranskaya

“…The approved technique is of considerable interest and requires further investigation of its efficiency including its combination with methods of combined and multimodal treatment.…”
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Revolutionizing Imaging Design Content With AIGC: User-Centered Challenges, Opportunities, and Workflow Evolution by Zijian Zhu, Tao Yu, Yijing Wang, Junping Xu

“…Results indicate that career paths and industry environment exert the most significant positive impact on designers’ behavioral intentions, highlighting the rising demand for AIGC and its potential to enhance career prospects. Output availability and cross-functional collaboration demonstrate practical benefits in improving content quality and team efficiency. …”
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Effects of a 4-Week Plyometric Box Jump Training Program on 50m Breaststroke Performance in Competitive Swimmers by Indri Patricia A Sinaga, Yagmur Tosun, Samsuddin Siregar, Jet C. Longakit

“…The objective of this study is to examine the influence of a four-week plyometric box jump training regimen on the performance of competitive swimmers in the 50m breaststroke event, with a particular focus on evaluating alterations in sprint duration, stroke mechanics, and power output. Materials and methods. Ten competitive swimmers (ages 18-25) with minimum 3 years experience were randomly assigned to experimental (n=5) and control (n=5) groups. …”
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Power Plant for a 0.6­0.8 Class Mobile Vehicle Based on the T­16 Self­Propelled Tractor Chassis by V. A. Gusarov

“…(Research purpose) To develop and study a new kinematic scheme of a mobile vehicle based on a self-propelled tractor T-16 chassis, which provides increased reliability, comfortable working conditions for the operator, a significant improvement in the environmental situation, and better economic efficiency. (Materials and methods) The authors listed the advantages of the new hybrid vehicle kinematic scheme. …”
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Optimization and Scheduling of Comprehensive Energy Systems Considering AmmoniaRefrigeration and Ammonia Blending in Thermal Power Plants by CHU Zhuang, YUAN Jixin

“…[Results] By setting multiple scenarios for comparison，the results showed that the proposed strategy could reasonably allocate the output of each unit，absorb the waste air volume，and improve the economic efficiency of the integrated energy system operation. …”
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Effects of high intensity interval training on trace minerals and physiological parameters in tennis players by Salih Öner, Yavuz Yasul

“…We believe that this may affect both muscle contraction functions and the efficiency performance output. Lastly, due to the decrease of calcium and sodium elements with HIIT implementations, we suggest that HIIT applications should not be performed unsupervised. …”
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Design of Surface Modified Acyclovir-loaded Graphene Oxide–Mesoporous Silica Nanocomposite: Optimization and In Vitro Characterization by Ketan B. Patil, Jayvadan K. Patel, Hardik H. Goswami, Arjun S. Chaudhari

“…At last, different spectral characterizations were performed. The output demonstrated that the entrapment efficiency of ACV-MSN and ACV-GO–MSN was 51.13% and 71.86%, respectively. …”
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Identification of Eye Diseases Through Deep Learning by Elena Acevedo, Dinora Orantes, Marco Acevedo, Ricardo Carreño

“…The network architecture consists of 11 layers, including three convolutional layers, three max pooling layers, one batch normalization layer, one flattening layer, two hidden layers, and one output layer. This model resulted in 97% efficiency across all metrics. …”
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Pulmonary Hemodynamic Correlates and Prognostic Value of the Cardiopulmonary Exercise Score in Patients With Left Heart Failure by Qianqian Chen, Wande Yu, Peipei Cheng, Mengyu Zhang, Wei Li, Dandan Wei, Hang Zhang, Hanjia Gao, Xiaoxia Fu

“…Survival curves for clinical events were generated using the Kaplan-Meier method and compared among the 3 groups with different HFCE scores with a log-rank test. …”
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A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…At the micro level, the dynamic weighting fusion module (DWFM) dynamically integrates the output feature maps of the two branches in an adaptive manner, enabling the model to learn and filter more comprehensive, accurate, and complementary defect features. …”
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Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…Since monkeypox has become a public health issue, new methods for efficiently identifying cases are required. …”
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TiO₂ Nanorod Array for Betavoltaic Cells: Performance Validation and Enhancement with Electron Beam and ⁶³Ni Irradiations by Sijie Li, Tongxin Jiang, Yu Cao, Wendi Zhao, Haisheng San, Xue Li, Lifeng Zhang, Xin Li

“…The NiO_x-incorporated device achieved an energy conversion efficiency of 4.84%, with a short-circuit current of 119.9 nA, an open-circuit voltage of 324.2 mV, and a maximum power output of 24.0 nW, representing a 3.76-fold enhancement over HTL-free devices. …”
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Predictive modeling for the adsorptive and photocatalytic removal of phenolic contaminants from water using artificial neural networks by Shahzar Hafeez, Ayesha Ishaq, Azeem Intisar, Tariq Mahmood, Muhammad Imran Din, Ejaz Ahmed, Muhammad Rizwan Tariq, Muhammad Amin Abid

“…To overcome these limitations, the modeling and optimization of water treatment methods is required. Artificial Intelligence (AI) is employed for the interpretation of treatment-based processes due to powerful learning, simplicity, high estimation accuracy, effectiveness, and improvement of process efficiency where artificial neural networks (ANNs) are most frequently employed for predicting and analyzing the efficiency of processes applied for the mitigation of these phenolic contaminants from water. …”
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Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring by Liang Guo, Hongli Gao, Haifeng Huang, Xiang He, ShiChao Li

“…Condition-based maintenance is critical to reduce the costs of maintenance and improve the production efficiency. Data-driven method based on neural network (NN) is one of the most used models for mechanical components condition recognition. …”
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Real-time detection of Chinese cabbage seedlings in the field based on YOLO11-CGB by Hang Shi, Hang Shi, Changxi Liu, Changxi Liu, Miao Wu, Miao Wu, Hui Zhang, Hui Zhang, Hang Song, Hang Song, Hao Sun, Hao Sun, Yufei Li, Yufei Li, Jun Hu, Jun Hu

“…However, the similarity between the characteristics of Chinese cabbage seedlings and some weeds is a great challenge for accurate detection.MethodsThis study introduces an enhanced detection method for Chinese cabbage seedlings, employing a modified version of YOLO11n, termed YOLO11-CGB. …”
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A review on the preparation and properties of energetic materials for micro pyrotechnic trains by Dongjie Liao, Wenzhong Lou, Hengzhen Feng, Wenxing Kan, Zhipeng Li, Yi Lu

“…Micro pyrotechnic train is an energetic microsystem that integrates MEMS control circuits, micro energetic devices, micro safety mechanisms, and micro output charges. It has been actively promoted and applied in space technology, healthcare, and ordnance due to its outstanding advantages of miniaturization, high efficiency, and intelligence. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…State-of-the-art reinforcement learning algorithms are classified into model-free and model-based methods. This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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Normothermic ex vivo heart and lung autoperfusion: assessment of functional status and metabolism by A. R. Tarkova, I. S. Zykov, M. O. Zhulkov, A. V. Protopopov, Ya. M. Smirnov, A.  G. Makaev, A. V. Guseva, F. Yu. Kosimov, M. N. Murtazaliev, A. D. Limansky, D. A. Sirota, E.  E. Kliver, V. E.  Kliver, А. M. Volkov, A. M. Chernyavsky

“…Objective: to carry out a comparative study of the efficacy of a 6-hour normothermic ex vivo heart and lung autoperfusion and cold cardioplegia using Bretschneider’s solution (Custodiol®, Germany).Materials and methods. Landrace pigs weighing 50 ± 5 kg at the age of 4–5 months (n = 10) were used as a model for a series of acute experiments. …”
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