An Interpretable Dynamic Feature Search Methodology for Accelerating Computational Process of Control Rod Descent in Nuclear Reactors by Qingyu Huang, Cong Xiao, Wei Zeng, Le Xu, Jia Liu, Zhixin Pang, Yuanfeng Lin, Mengwei Zhao, Xiaobo Liu

“…Within the operational dynamics of a nuclear reactor, the customary approach involves modulating the reactor’s power output by means of control rod manipulation, which effectively alters the neutron density across the core. …”
Get full text

Hierarchical Multi-Task Learning Based on Interactive Multi-Head Attention Feature Fusion for Speech Depression Recognition by Yujuan Xing, Ruifang He, Chengwen Zhang, Ping Tan

“…Due to the accessibility of speech data, researchers have proposed many automatic depression recognition methods based on speech. Extracting effective features and designing an efficient recognition framework pose challenges in speech-based depression recognition. …”
Get full text

Changes in ultrasound and bioelectrical-derived body composition parameters in response to training load during pre-season in professional male road cyclists by Andrea Giorgi, Francesco Campa, Martino V. Franchi, Maurizio Vicini, Borja Martinez-Gonzalez

“…Ultrasonography and bioelectrical impedance vector analysis (BIVA) can serve as efficient methods to track changes in body fat and lean soft tissue. …”
Get full text

ST-MSRN: An enhanced spatio-temporal super-resolution model for complex meteorological data reconstruction by Ping Mei, Zhi Yang, Changzheng Liu, Lei Wang, Zixin Yin

“…However, the existing climate models suffer from constraints imposed by computational resources and model complexity, leading to outputs with coarse spatio-temporal resolution. Current meteorological super-resolution techniques predominantly focus on single-dimensional (spatial or temporal) enhancements, failing to effectively reconstruct dynamic spatio-temporal coupled features. …”
Get full text

Solid Oxide Fuel Cell Voltage Prediction by a Data-Driven Approach by Hristo Ivanov Beloev, Stanislav Radikovich Saitov, Antonina Andreevna Filimonova, Natalia Dmitrievna Chichirova, Egor Sergeevich Mayorov, Oleg Evgenievich Babikov, Iliya Krastev Iliev

“…The application of ML models revealed a complex nonlinear relationship between the SOFC output voltage and the control parameters of the system. …”
Get full text

Critical Nodes Identification of Scientific Achievement Commercialization Network under k-Core by Wuyan Weng, Zi Li, Qirong Qiu, Junheng Cheng

“…Aiming to improve the commercialization efficiency of scientific innovative achievements, this paper utilizes the time series visualization method to construct the time series network of each subsystem. …”
Get full text

Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality by Abu Shufian, Sowrov Komar Shib, Durjoy Roy Dipto, Md Tanvir Rahman, Nasif Hannan, Shaikh Anowarul Fattah

“…The selection of FLC stems from its ability to mimic human decision-making and handle non-linear, imprecise data, offering superior adaptability and precision compared to traditional control methods. Unlike conventional algorithms, which struggle under fluctuating grid conditions and complex disturbances, FLC dynamically adjusts the output of DVR based on real-time reference and load voltage measurements. …”
Get full text

Macro-fungi mediated nanoparticles for sustainable agriculture: recent advancement and future strategies by Jibanjyoti Panda, Amilia Nongbet, Satya Kumar Avula, Debasis Nayak, Sarvesh Rustagi, Bibhu Prasad Panda, Yugal Kishore Mohanta

“…The use of nanotechnology in farming has the potential to increase the efficiency of inputs while simultaneously reducing the adverse effects on agroecosystems through the proper use of nanoparticles (NPs). …”
Get full text

Life Cycle Assessment of Methanol Production from Municipal Solid Waste: Environmental Comparison with Landfilling and Incineration by Cristiano Queiroz Cerqueira, Electo Eduardo Silva Lora, Lidiane La Picirelli de Souza, Márcio Montagnana Vicente Leme, Regina Mambeli Barros, Osvaldo José Venturini

“…Additionally, the process demonstrates high energy efficiency in electricity generation, achieving 80% of the output of incineration. …”
Get full text

A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…The algorithm used a random initial population, with operations for parent selection, crossover, and mutation, iterating until the optimal solution was found. The output helped identify the most effective outsourcing providers, aided managerial decision-making, and enhanced organizational performance.Findings: In this study, using the roulette wheel method and based on available data, the selection process among six contractors was carried out. …”
Get full text

Fine-Tuning BiomedBERT with LoRA and Pseudo-Labeling for Accurate Drug–Drug Interactions Classification by Ioan-Flaviu Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

“…The framework is designed to log every prediction it makes, allowing results to be refined later, either manually or through automated updates, without discarding low-confidence cases, as traditional threshold-based methods often do. The method keeps a record of every output it generates, making it easier to revisit earlier predictions, either by experts or with improved tools, without depending on preset confidence cutoffs. …”
Get full text

Environmental impact assessment of resource recovery from end-of-life power batteries in the context of carbon neutrality by LIU Minwei, WEI Kexin, CHENG Beibei, LIU Xiaoyu, ZENG Jincan, WANG Peng

“…[Methods] Under such circumstances, the life cycle assessment (LCA) method was employed to quantitatively analyze the environmental impacts of two recycling processes for end-of-life batteries: mechanical-physical recovery and wet recovery. …”
Get full text

Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…Compared with traditional conventional scheduling methods, the system's operating cost is reduced by at least 10% under regular operation. …”
Get full text

INTRAOPERATIVE DYNAMICS OF OXYGEN BALANCE IN PATIENTS WITH INJURIES OF ABDOMINAL CAVITY ORGANS COMPLICTED BY ACUTE MASSIVE BLOOD LOSS by Pavel Vyacheslavovich Konokhov

“…The signs of hypovolemia were observed along with normal vascular tone and cardiac output. Meanwhile such parameters of oxygen balance as high oxygen consumption index (VO2I) and oxygen extraction ratio (О2ER) as well as low central venous saturation (SvО2) confirmed the critical state of patients. …”
Get full text

FLUIDITY SPEECH FORMATION AS A QUALITATIVE CHARACTERISTIC OF THE ORAL STATEMENT OF PRESCHOOL AGE CHILDREN WITH STUTTER by E. A. Borisova

“…The research demonstrates data analyses of postexperimental diagnostic examination of stuttering preschool children, proving the efficiency of the author’s applied method. Scientific novelty. …”
Get full text

Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The effectiveness and efficiency of our proposed method are verified through two sets of synthetic data and one marine data example.…”
Get full text

StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal by Suvasish Saha, Shaikh Anowarul Fattah, Mohammad Saquib

“…The whole trained network so built is capable of efficiently predicting apnea frames in the testing phase. …”
Get full text

Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review by XingCe Zhu, Wei Dai, Richard Evans, Xueyu Geng, Aruhan Mu, Zhiyong Liu

“…In total, 5 key challenges were identified from the included studies during the implementation of gLLM-based interventions: ensuring factual alignment, maintaining system robustness, enhancing interpretability, optimizing efficiency, and facilitating clinical adoption. …”
Get full text

Security-Constrained Multi-Stage Robust Dynamic Economic Dispatch with Bulk Storage by Li Dai, Renshi Ye, Dahai You, Xianggen Yin

“…Compared to the traditional SDDP algorithm and RDDP algorithm, the proposed RA-RDDP algorithm uses the inner relaxed approximation and outer approximation methods to approximate the upper and lower bounds of the future cost-to-go function, which overcomes the convergence issue of the traditional SDDP algorithm and solution efficiency of the RDDP algorithm. …”
Get full text

Identifying COVID-19-Infected Segments in Lung CT Scan Through Two Innovative Artificial Intelligence-Based Transformer Models by Zeinab Momeni pour, Ali Asghar Beheshti Shirazi

“…Conclusion: These improvements indicate that the proposed models exhibit superior efficiency and performance relative to existing methodologies. …”
Get full text