Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…Genome controls directly or indirectly all human functions: body structure, physiology. Human mental and consciousness activity, brain functions obtained by learning mask the dependence of these activities on the genome. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…This is done by implementing a recursive window technique and running a user-specified fitness function to dynamically optimize the mean equation parameters throughout the lead time. …”
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An Assessment of Provider Payment Mechanisms (PPMs) in Ethiopia: Implications for Redesign of PPMs and Progress Toward Universal Health Coverage by Mideksa Koricho, Tseday Zerayacob, Firehiwot Abebe, Muluken Argaw, Dereje Mengistu, Felegush Birhane, Shewa Negash, Amanuel Haileselassie, Agnes Gatome-Munyua

“…Provider payment, as a function of purchasing, is a tool to use limited health resources better. …”
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RSA-PT: A Point Transformer-Based Semantic Segmentation Network for Uninterrupted Operation in a Distribution Network Scene by Deyu Nie, Linong Wang, Shaocheng Wu, Zhenyang Chen, Yongwen Li, Bin Song

“…To this end, the authors embedded the improved RSA (residual spatial attention) module and modified the loss function of network, proposing a deep learning network called RSA-PT for the semantic segmentation of a distribution network scene point cloud. …”
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Artificial optoelectronic synapses based on Ga2O3 metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing by Huazhen Sun, Bingjie Ye, Mei Ge, Biao Gong, Leyang Qian, Irina N. Parkhomenko, Fadei F. Komarov, Yu Liu, Guofeng Yang

“…The proposed PDs as artificial synapse realized several essential synaptic function, including excitatory postsynaptic current, paired‐pulse facilitation, long‐term potentiation, the transition from short‐term memory to long‐term memory, and learning experience behaviors successfully. …”
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Adaptive Dynamic Programming-Based Intelligent Finite-Time Flexible SMC for Stabilizing Fractional-Order Four-Wing Chaotic Systems by Mai The Vu, Seong Han Kim, Duc Hung Pham, Ha Le Nhu Ngoc Thanh, Van Huy Pham, Majid Roohi

“…To optimize the parameters of the model-free FTF-SMC, a deep reinforcement learning framework based on the adaptive dynamic programming (ADP) algorithm is employed. …”
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Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset by Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martinez Madrid

“…Sleep deprivation is a significant contributor to various diseases, leading to poor cognitive function, decreased performance, and heart disorders. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…Furthermore, we employ Focal Loss (FL) function-improved LightGBM as the classifier to improve detection performance. …”
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Synergy pathway innovation of carbon emission trading, tradable green certificate and green power trading policies: achieving China’s dual carbon goals by Lili Liu, Tiantian Feng, Cheng Zhong, Mingli Cui, Haoran Wang

“…Second, the slack-based measure–directional distance function–global Malmquist–Luenberger (SBM–DDF–GML) method is used to calculate the GTFP and investigate its transmission effect on policies. …”
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Multi-organ frailty is enhanced by periodontitis-induced inflammaging by Yoshitaka Kase, Satoru Morikawa, Yuji Okano, Tatsuya Hosoi, Takazumi Yasui, Yoko Taki-Miyashita, Mitsutaka Yakabe, Maraku Goto, Kazuyuki Ishihara, Sumito Ogawa, Taneaki Nakagawa, Hideyuki Okano

“…This condition resulted in the co-occurrence of bone fragility and slow-twitch muscle dysfunction. Cognitive function assessment revealed increased activated microglia and decreased adult neurogenesis in the hippocampus, impairing spatial learning. …”
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M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling by Xinyue Cui, Yuhao Xia, Minghua Hou, Xuanfeng Zhao, Suhui Wang, Guijun Zhang

“…Abstract Background Association and cooperation among structural domains play an important role in protein function and drug design. Despite remarkable advancements in highly accurate single-domain protein structure prediction through the collaborative efforts of the community using deep learning, challenges still exist in predicting multi-domain protein structures when the evolutionary signal for a given domain pair is weak or the protein structure is large. …”
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USING ARTIFICIAL INTELLIGENCE IN OBSTETRICS TO DIAGNOSE FETAL MALFORMATIONS AND PREVENT DISEASES by Елена Валерьевна Литвинова, Оксана Владимировна Носкова

“…Meanwhile, in medical education in obstetrics and gynecology, telemedicine and virtual reality become a new way of simulation-based ultrasound training, which significantly improves learning efficiency and knowledge retention during training. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…Explainable artificial intelligence (XAI) is essential for fostering trust, transparency, and accountability in machine learning systems, particularly when applied in high-stakes domains. …”
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MicroRNA-155 modulates methotrexate-induced spatial memory impairment by disruption of the blood-brain barrier integrity by Yu-Chieh Chen, Li-Tung Huang, Hong-Ren Yu, Jiunn-Ming Sheen

“…Besides, IP MTX resulted in impaired learning acquisition, which can be reversed by anti-miR155 treatment. …”
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Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus by Ji Yang, Yikun Zhou, Jiarui Zhang, Yongqin Zheng, Jundong He

“…Functional analysis, ceRNA network construction, immune microenvironment assessment, and drug prediction were conducted to explore the underlying molecular mechanisms. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…However, deploying deep learning models on edge devices presents significant challenges due to limited computational resources and strict latency constraints. …”
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A computational modeling approach to brief slow-paced breathing and mental health moderators of decision-making under uncertainty in college students by Kaileigh A. Byrne, June J. Pilcher, Yizhou Liu, Michael R. Spinelli, Margaret L. Rosinski, Madelyn G. Brancato, Delaini Daughenbaugh, Anthony Alvarado Batres

“…Decision-making is a critical cognitive function that can be significantly impacted by stress and other mental health factors. …”
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GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer by Oumeima Thaalbi, Moulay A. Akhloufi

“…The models were trained to predict the expression of 250 genes using different image sizes and loss functions. GeNetFormer achieved the best performance using the MSELoss function and a resolution of 256 × 256 while integrating EfficientFormer. …”
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Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism by Long Chen, Zhiyuan Qu, Yao Zhang, Jingyang Liu, Ruwen Wang, Dezheng Zhang

“…With the application of deep-learning techniques, these RSIs can be more effectively utilized to harnessed to aid in environment monitoring and urban planning. …”
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