SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…Abstract Background Detecting epistatic interactions (EIs) involves the exploration of associations among single nucleotide polymorphisms (SNPs) and complex diseases, which is an important task in genome-wide association studies. …”
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Development and validation of a UPLC-MS/MS method for the simultaneous estimation of Ertugliflozin and Sitagliptin in bulk and tablet dosage forms: Assessment of greenness and blue... by Voohitha Manukonda, Santhoshi Priya Dandamudi, Praveen Kumar Kusuma, Gouthami Thumma, Kiran Gangarapu

“…Green analytical chemistry emphasizes the use of energy-efficient instruments, minimization of hazardous substances, and reduction of waste. …”
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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…Given the substantial morphological and dimensional variations of target defects (e.g., carbon traces produced by surface discharge inside the transformer), the intelligent and efficient extraction of carbon trace features from complex backgrounds becomes critical for robotic inspection. …”
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Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control by Haonan Ye, Hongjun Tian, Qingyun Wu, Yihong Xue, Jiayu Xiao, Guijie Liu, Yang Xiong

“…These systems require reliable sensor-based object detection and efficient, safe, and energy-aware path planning. …”
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Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning by Robin Cremese, Charlotte Godard, Alexis Bénichou, Thomas Blanc, Iwan Quemada, Christian L. Vestergaard, Bassam Hajj, Alex Barbier–Chebbah, François Laurent, Jean-Baptiste Masson

“…This stochastic process effectively navigates the complex topography of medical imaging data without necessitating comprehensive surgical instrument modeling or replicating the environment’s physical properties. …”
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Biotransformation of Acetaminophen by <i>Ganoderma parvulum</i> Ligninolytic Enzymes Immobilized on Chitosan Microspheres by María Alejandra Flórez-Restrepo, Xiomara López-Legarda, Magdalena de Jesús Rostro-Alanis, Roberto Parra-Saldívar, Freimar Segura-Sánchez

“…Among these, acetaminophen (paracetamol) is one of the most frequently detected pharmaceutical pollutants in aquatic environments. …”
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Optimizing Dye-Sensitized Solar Cell (DSSC) Performance through Synergistic Natural Dye Combinations from <i>Beta vulgaris</i> L., <i>Curcuma longa</i> L., and <i>Pandanus amarylli... by Nita Kusumawati, Pirim Setiarso, Supari Muslim, Nafisatus Zakiyah, Khofifatul Rahmawati, Fadlurachman Faizal Fachrirakarsie

“…The UV-vis analysis revealed complex interactions and synergistic effects among dye combinations, characterized by increased light absorption in the 400–700 nm range. …”
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Advances in Activation of Persulfate by Novel Carbon-Based Materials: Degradation of Emerging Contaminants, Mechanisms, and Perspectives by Lianghui Guo, Dong Liu, Runyao Han, Aoxiang Yin, Guifan Gong, Shi Li, Ruixuan Chen, Jianyu Yang, Zimeng Liu, Keke Zhi

“…Despite the great potential of carbon-based catalysts, their large-scale application is limited by the complexity of the catalyst preparation process and the lack of selectivity for complex water qualities. …”
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Structure-guided virtual screening reveals phytoconstituents as potent cathepsin B inhibitors: Implications for cancer, traumatic brain injury, and Alzheimer’s disease by Nageeb Hassan, Mohammad Furkan, Mohd Shahnawaz Khan, Azna Zuberi, Moyad Shahwan, Moyad Shahwan, Anas Shamsi

“…Cathepsin B (CathB) is a lysosomal cysteine protease involved in various pathological and physiological processes and is becoming an attractive target for drug intervention in complex diseases like cancer, traumatic brain injury (TBI) and Alzheimer’s disease (AD). …”
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Predictive model of small choroidal melanoma progression after eye-saving treatment based on clinical, morphometric and immunological parameters by E. B. Myakoshina, I. G. Kulikova, N. V. Balatskaya, L. A. Katargina, S. V. Saakyan

“…Usage of present models for prediction of the uveal melanoma course enables optimal management of the patients with a malignant tumor upon primary admission, and to perform maximally efficient counseling. So far, however, a complex of clinical, morphometric and immunological indexes predictive for unfavorable course of initial choroidal melanoma following the eye-saving treatment remains not fully determined. …”
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DWE: Research on Water Quality Inversion and Scalability in Small Watersheds Using UAV Remote Sensing Data by Hao Li, Zhijun Xie, Xing Jin, Changchun Peng, Cheng Ren, Yunfei Mao, Kefan Zhou, Yingying Li

“…Urban rivers are faced with serious water quality deterioration, and an efficient, comprehensive and accurate dynamic monitoring method for urban water quality is urgently needed. …”
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Design and Testing of Miniaturized Electrically Driven Plug Seedling Transplanter by Meng Chen, Yang Xu, Changjie Han, Desheng Li, Binning Yang, Shilong Qiu, Yan Luo, Hanping Mao, Xu Ma

“…Both bench and field tests were conducted to select the optimal working parameters. The test results demonstrated that the seedling picking and depositing mechanism met the required operational efficiency. …”
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Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

“…The experiment results demonstrate that the multi-layer perceptron-particle swarm optimization algorithm can quickly and accurately solve local planning problems, guiding robots to complete global paths with the same efficiency as expert solvers. The average solving time has been reduced by over 90%, enabling the robot to increase its control frequency or adopt higher-quality complex motion primitives. …”
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Fha initiates the inside-out assembly of the type VI secretion system by Tong-Tong Pei, Xing-Yu Wang, Yi-Qiu Zhang, Ying An, Han Luo, Yumin Kan, Hao Li, Ming-Xuan Tang, Zi-Yan Ye, Jia-Xin Liang, Tao Jian, Hao-Yu Zheng, Zeng-Hang Wang, Xiaoye Liang, Xiaotian Liu, Mingjie Zhang, Tao Dong

“…Summary: How cells orchestrate the quantity and location while building complex intracellular machinery remains a fundamental biological question. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…FPGAs provide fast development capabilities, energy efficiency, decreased latency, and advanced reconfigurability. …”
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Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models by Tarekegn Argaw, Berhanu Amsalu Fenta, Habtemariam Zegeye, Girum Azmach, Assefa Funga

“…The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the complexity of MET experiments grows. This study presents linear mixed model-based approaches for MET data analysis. …”
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Cognitive functions and their effect on disability in learning process and knowledge application in patients with arterial hypertension by S. Ya. Yanovska

“…Patients with stage III AH after a stroke had significant problems with their eyesight and hearing, concentration of attention and process of thinking, solving simple and complex problems. Moreover, a number of the following factors have contributed to the above-mentioned condition: emotional instability, nonconformity, desire to present themselves in a "favorable light", anxiety, depressive and paranoid tendencies, sensitive, egocentric, anosognotic response to the disease, exacerbation of accentuation of an excitable nature and low work efficiency, acute accentuation of personality traits, impairment of short- and long-term speech, auditory, imaginative, visual and informative memory, control of expression of understanding and emotions, interpersonal and internal personal emotional intelligence and logical thinking. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…Clustering plays a vital role in process mining as it organizes complex event logs into meaningful groups, helping to identify common patterns, outliers, and inefficiencies. …”
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Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…BackgroundElectrocardiogram (ECG) signals contain cardiopulmonary information that can facilitate sleep apnea detection. Traditional methods rely on extracting numerous ECG features, which is labor-intensive and computationally cumbersome.MethodsTo reduce feature complexity and enhance detection accuracy, we propose a spectral feature-based approach using single-lead ECG signals. …”
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Independence of the dynamic grid of finite elements for the calculation of the aerodynamic resistance of linehaul trains by D.B. Beherskyi, I.V. Vitiuk, O.A. Levkivskyi, O.O. Bahinskyi, A.O. Koval

“…The dynamic grid was chosen because it allows changing the grid structure during simulation, which is important for accurately reflecting complex aerodynamic processes, such as turbulent flows and variable shocks on surfaces. …”
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