A New [PMo₁₂O₄₀]³⁻-Based Ni^II Compound: Electrochemical and Photocatalytic Properties for Water Pollutant Removal by Guoqing Lin, Shufeng Liu, Dai Shi, Ying Yang, Fangle Yu, Tong Lu, Xiao-Yang Yu, Yuguang Zhao

“…Photocatalytic studies reveal that compound <b>1</b> functions as a bifunctional photocatalyst, which not only achieves efficient degradation of organic dyes but also demonstrates remarkable reduction efficiency for toxic Cr(VI). …”
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Automatic Evaluation of Bone Age Using Hand Radiographs and Pancorporal Radiographs in Adolescent Idiopathic Scoliosis by Ifrah Andleeb, Bilal Zahid Hussain, Julie Joncas, Soraya Barchi, Marjolaine Roy-Beaudry, Stefan Parent, Guy Grimard, Hubert Labelle, Luc Duong

“…<b>Background/Objectives:</b> Adolescent idiopathic scoliosis (AIS) is a complex, three-dimensional spinal deformity that requires monitoring of skeletal maturity for effective management. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Conclusion: Digital technology has demonstrated its pivotal role in strengthening public health surveillance during the pandemic, improving efficiency, accuracy, and capacity in pandemic response. …”
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Quantification of Salmonella in Raw Poultry Using Droplet Digital PCR With a Whole Cell, Enrichment-free Approach by Cheryl M. Armstrong, Chin-Yi Chen, Yicheng Xie, Javier Atencia, Sophie Pierre, Yiping He, Joe Lee, Gretchen E. Dykes, Kathleen Johnson, Brice Froment, Sean Martinos, Joseph Capobianco

“…This platform offers a robust, rapid, and precise tool for detecting low levels of Salmonella in poultry products without enrichment, making it a more accurate and efficient approach to bacterial quantification in complex food matrices.…”
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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

“…Overcoming noise in SEM images traditionally involves the use of various filters, such as the Wiener filter and Gaussian filter, but these methods are often limited in efficiency when handling complex noise patterns, and they can be time-consuming. …”
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A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation by Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo

“…These results demonstrated the capability of machine learning to accurately capture complex relationships within structured datasets.…”
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HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain by Muhammad Muntasir Yakubu, Mohd Fadzil B Hassan, Kamaluddeen Usman Danyaro, Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, S. Zulaikha Beevi, Aliyu Garba

“…The global halal food industry, valued at over $1.9 trillion, faces critical challenges in ensuring transparency, traceability, and compliance with Islamic dietary laws across complex supply chains. Traditional centralized systems are vulnerable to inefficiencies, fraud, and data tampering, undermining consumer trust. …”
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AgriSenAI: Automating UAV thermal and multispectral image processing for precision agriculture by Boaz B. Tulu, Fitsum Teshome, Yiannis Ampatzidis, Niguss Solomon Hailegnaw, Haimanote K Bayabil

“…However, processing and extracting useful information from UAV images is often complex, time-consuming, and requires specialized software, which limits its broader adoption for practical field implementations. …”
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Unknotting RNA: A method to resolve computational artifacts. by Simón Poblete, Mikolaj Mlynarczyk, Marta Szachniuk

“…Certain cases, particularly those involving dense packing of atoms or complex secondary structures, posed challenges that limited the efficiency of the method. …”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…However, the existing model's efficiency depends on the diversity of data, which leads to computational complexity issues. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…This paper presents an adaptive noise exploration framework to reduce computational complexity and introduces two novel algorithms: EAD (Exploring Adaptive Noise in Decision-Making Processes) and EAP (Exploring Adaptive Noise in Parameter Spaces). …”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…Abstract This paper explores the complexity of project planning in a cloud computing environment and recognizes the challenges associated with distributed resources, heterogeneity, and dynamic changes in workloads. …”
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Intelligent resource scheduling scheme for UAV swarm collaborative sensing by ZHAO Pengcheng, LI Tianyang, LENG Supeng, XIONG Kai

“…Adaptive sensing mode selection, stepwise computation offloading, and competitive bandwidth allocation were integrated to achieve heterogeneous resource coordination across communication, sensing, and computation (CSC), thereby enhancing collaborative sensing efficiency. …”
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Multi-user hybrid precoding design based on QR decomposition and beam gain alignment by ZHANG Tingting, CAO Haiyan, LI Bin, JI Yangrui, LING Haikun, XU Fangmin

“…Simulation results show that the proposed algorithm has lower complexity and higher achievable sum rate and energy efficiency.…”
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Low error floor LT coding algorithm by using fixed-length node classification window by Xin SONG, Naiping CHENG, Shuyan NI, Yurong LIAO, Tuofeng LEI

“…To solve the problem of high error floor for LT codes in additive white Gaussian noise (AWGN) channels, an improved coding scheme was designed.A fixed-length classification window was used to sort out the information nodes with relatively small degrees.Then these nodes would be forced to participate in the coding process frequently, so that they could obtain sufficiently high reliability.To design the optimal parameters, firstly, the bit error rate (BER) performance of LT codes and the cause of the error floor were analyzed, and the theoretical BER lower bound was introduced as the first constraint.Secondly, the extrinsic information gain loss ratio (GLR) was designed to measure the convergence behavior of the improved LT code, and maximizing the GLR was denoted as the second constraint.Finally, the influence of different parameters on algorithm efficiency and coding complexity were analyzed, and the principle of priority selection of parameters was pointed out as the third constraint.The simulation results show that compared with the conventional LT code, the proposed algorithm can reduce the error floor by nearly three orders of magnitude.Besides, the designed LT code outperforms the existing LT codes in literature in terms of bit error rate (BER) performance.…”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…This module achieves efficient integration of features by adaptively fusing the multi-scale local features output from the hybrid U-Net decoder with the deep global features extracted from the ResNet50 backbone network through a dynamic weighting and expert selection mechanism. …”
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Object-topological modeling of electrical networks by I. A. Golovinskii

“…It allows building object-oriented models of electrical networks, but does not provide efficient tools for analyzing their structure and state. …”
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Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…By pinpointing the most relevant wavelengths, these methods reduce the dimensionality of the data and enhance the efficiency of the predictive models. The selected wavelengths were then used to construct regression prediction models for kiwifruit quality indicators, including soluble solid content (SSC), firmness and titratable acidity. …”
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Mutation‐inspired symbolic execution for software testing by Kevin J. Valle‐Gómez, Antonio García‐Domínguez, Pedro Delgado‐Pérez, Inmaculada Medina‐Bulo

“…Abstract Software testing is a complex and costly stage during the software development lifecycle. …”
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