Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. …”
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Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI by Mona Ebadi Jalal, Adel Elmaghraby

“…Integration challenges such as catastrophic forgetting, handling noisy, unlabeled, and imbalanced data, and managing the stability-plasticity trade-off are discussed in detail. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”
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Substituted piperazine conjugated to quinoline-thiosemicarbazide as potent α-glucosidase inhibitors to target hyperglycemia by Mehran Ghasemi, Mohammad Mahdavi, Maryam Dehghan, Mohammadreza Eftekharian, Somayeh Mojtabavi, Mohammad Ali Faramarzi, Aida Iraji, Ahmed Al-Harrasi

“…Molecular docking simulations demonstrated key interactions between compound 7j and the active site of α-glucosidase, while molecular dynamics simulations confirmed the stability of the enzyme-ligand complex, reflected in low RMSD and RMSF values.…”
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Advancements in SELEX Technology for Aptamers and Emerging Applications in Therapeutics and Drug Delivery by Liangjie Feng, Yu Sun, Wenshen Jia, Yang Yu, Chang Liu, Jing Yang, Yunxia Luan, Jin Chen, Fengchao Wang

“…By integrating advanced technologies, aptamers hold significant promise for enhancing precision medicine and personalized therapeutic interventions, offering new avenues for the treatment of complex diseases.…”
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The Purge Characteristics and Strategy in a Proton Exchange Membrane Fuel Cell with a Linear Segmentation-Based Anode Recirculation System by Weihao Guo, Xiaoxuan Mu, Weida Shen, Chaoqi Ma, Jie Yu, Fu Wang, Jinliang Yuan

“…In addition, a detailed analysis of the hydrogen consumption during the purge cycle reveals that an excessive purge frequency leads to significant hydrogen losses, whereas prolonged purge cycles may allow nitrogen accumulation to adversely affect voltage stability. …”
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Sharp Skills or Snipping Struggles? Qualitative Paper-Cutting Performance in 5- to 10-Year-Old Children Using Hands-On! by Leila Faber, Esther Hartman, Suzanne Houwen, Marina M. Schoemaker

“…This study provides valuable insights into the development of paper-cutting skills, emphasising the importance of incorporating qualitative analysis into motor skill assessments. Future research should explore the qualitative performance of children with both typical and atypical motor development to further understand the complex interplay of factors influencing fine motor skill performance.…”
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New nanostructured carriers for cellulase immobilization by A. M. Sulman, V. P. Molchanov, D. V. Balakshina, O. V. Grebennikova, V. G. Matveeva

“…Cellulase is a multienzyme complex that breaks down cellulose contained in plant cell walls. …”
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Multi-Dimensional Feature Fusion and Enhanced Attention Streaming Movie Prediction Algorithm by Hanqing Hu, Tianmu Tian, Chengjing Liu, Xueyuan Bai

“…Aiming at the challenges of multiple influencing factors, complex data characteristics, and limited data in streaming movie prediction, a feature fusion long- and short-term memory enhanced attention network (FFLSTMEA) was developed to achieve the short-term prediction of key indicators such as streaming movie revenue and to support business decisions. …”
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Policy of Sustainable Development State Regulation of Mongolian Industry by S. Amarsanaa, N. G. Alent’eva, E. L. Plisetskii, Yu. N. Shed’ko

“…The paper presents the results of the analysis of state policy realization regarding sustainable development of industry in Mongolia. …”
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TacFR-Gripper: A Reconfigurable Fin-Ray-Based Gripper with Tactile Skin for In-Hand Manipulation by Qingzheng Cong, Wen Fan, Dandan Zhang

“…The experimental results indicate that the TacFR-Gripper can grasp a wide range of complex-shaped objects with a high success rate and deliver dexterous in-hand manipulation. …”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…Model-based sensorless control, which estimates the position and speed of a motor via mathematical analysis, has been studied using various methods because of its simple formula and adequate performance without additional power consumption. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…Accurate land parcel segmentation in remote sensing imagery is critical for applications such as land use analysis, agricultural monitoring, and urban planning. …”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Specifically, the broad learning system (BLS), known for its low time complexity and high classification accuracy, is adopted as an alternative to deep learning for fault diagnosis in SCES. …”
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A Review of Inertia Prediction Methods for Power System with High Penetration Renewable Energy Sources by SHEN Fu, CAO Yang, XU Xiaoyuan, HUA Haochen, WANG Jian, ZENG Fang, QIU Gefei

“…[Objective] Inertia prediction is critical for frequency control，renewable energy penetration management，fast frequency response analysis，and integrated inertia design of ancillary service markets in the power sector. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…Conventional prediction methods, such as physical and statistical models, often struggle to capture the complex nonlinear and nonstationary characteristics of streamflow. …”
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Identification of potent TMPRSS4 inhibitors through structural modeling and molecular dynamics simulations by Ismail Hdoufane, Mehdi Oubahmane, Youssef Habibi, Christelle Delaite, Mohammed M. Alanazi, Driss Cherqaoui

“…Moreover, through a systematic analysis, MD simulations and MM-GBSA binding free energy calculations revealed that the best candidates Ergotamine, S55746, NPC478048, Lifirafenib, and NPC77101 are highly stable drug candidates in complex with TMPRSS4, displaying low RMSD and RMSF values with strong binding stability. …”
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Mechanical Response of Mudstone Based on Acoustic Emission Fractal Features by Xianyin Chang, Yunpei Liang, Qican Ran

“…Through the multifractal analysis of AE signals, this study reveals the effect of the stress amplitude on the fracture extension mode and failure mechanism of mudstone. …”
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Chiral pyrimidinyl-piperazine carboxamide derivatives as potent yeast α-glucosidase inhibitors by Noval Herfindo, Pirun Mikled, Neni Frimayanti, Thanyada Rungrotmongkol, Warinthorn Chavasiri

“…Moreover, molecular dynamics simulation showed that the 21c/α-glucosidase complex provided more stability by maintaining a consistent binding pose. …”
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Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection by Salma Khan, Hamza Ali Abujabal, Muhammad Rahim, A. Almutairi, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

“…The results show an improvement in decision-making accuracy by approximately 7.5% compared to traditional approaches. Sensitivity analysis confirms the stability and reliability of the proposed operators under varying conditions. …”
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