Chin Soon Ku^1,*, Hui Yi Lim², Ana Nabilah Binti Sa’uadi², Siew Cheng Lai¹, Jit Theam Lim³, Pei Xuan Ku⁴, Zeng-Wei Hong⁵, Lip Yee Por⁶

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082586 - 23 July 2026

Abstract In the expanding Internet of Things (IoT) ecosystem, billions of interconnected devices exchange sensitive data, making secure and usable authentication critical. IoT devices in public or shared environments are vulnerable to shoulder-surfing and video recorded observation attacks. Traditional passwords and static graphical schemes remain susceptible due to predictable patterns and direct credential entry. This study presents a novel recognition-based graphical authentication scheme that combines pass-image selection with compass direction substitution and rotation logic to resist observation-based attacks. A prototype was evaluated with 58 participants over three days. Usability metrics included registration time, login time, success… More >

Rahul Raj^*

Journal on Artificial Intelligence, Vol.8, pp. 359-375, 2026, DOI:10.32604/jai.2026.083202 - 22 July 2026

Abstract Background: Unemployment Insurance (UI) fraud represents one of the most costly threats to social benefit integrity, with the U.S. DOL/ETA estimating improper payments exceeding $45 billion between 2020 and 2023. Existing detection systems fail to model the temporal evolution of claiming behavior or the relational topology connecting fraudulent actors across employer-claimant networks. This study introduces FRAUD-LENS, a hybrid deep learning framework delivering interpretable and scalable fraud detection for large-scale federal UI systems. Methods: FRAUD-LENS integrates three coordinated architectural modules: a Bidirectional Long Short-Term Memory (BiLSTM) network encoding temporal claim behavior sequences, a Graph Attention Network… More >

Xing Wen¹, Huan Chen¹, Ning Wang^1,*, Yu Song¹, Zhuqiao Qiao², Bin Zhang¹

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.073567 - 12 July 2026

Abstract High voltage direct current (HVDC) systems play a pivotal role in long-distance, high-capacity, and cross-regional power transmission. However, their complex structure, wide-ranging impact of faults, and stringent safety requirements pose significant challenges to operational stability. Conventional model-based and data-driven methods for tasks such as text classification, fault diagnosis, and operation and maintenance support suffer from limited scalability and interpretability. Recent advances in large language model (LLM) provide new opportunities to address these issues. This paper provides a systematic review of LLM applications in HVDC systems. Firstly, it introduces the core architecture and training mechanisms of… More >

Jianping Yuan, Chenxin Yu, Yanxia Fu^*, Weidong Wang, Heng Liao

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.083416 - 30 June 2026

Abstract Slurry transport is a critical multiphase-flow process in mining, metallurgy, and dredging applications, where hydraulic efficiency, particle-induced wear, cavitation erosion, and structural vibration are strongly coupled. This topic-focused review synthesizes recent advances in centrifugal slurry pump design optimization from the perspectives of wear-resistant surface engineering, hydraulic design, structural dynamics, intelligent optimization algorithms, and multiphysics simulation. Unlike earlier reviews that primarily addressed hydraulic performance, erosion wear, flow visualization, or numerical modeling in isolation, the present work adopts a lifecycle-oriented perspective. Representative studies are critically evaluated according to reported efficiency improvements, wear-rate and material-loss reduction, cavitation and… More >

Guancan Liang^#, Jian Pan^#, Ruixiang Dai, Ziyi Lin, Xunbao Wang, Teng Hou, Zhicheng Luo, Xiaoming Wang^*

Canadian Journal of Urology, Vol.33, No.3, pp. 563-571, 2026, DOI:10.32604/cju.2026.074252 - 29 June 2026

Abstract Background: The causal link between mental illness and prostatitis remains inconclusive, largely due to heterogeneity and potential confounders. This study explored the causal link between mental illness and prostatitis in men using Mendelian randomization (MR), and offered recommendations for enhancing future research. Methods: Publicly accessible genome-wide association study (GWAS) data were accessed via the IEU OpenGWAS platform and FinnGen database for this research. The inverse variance weighted (IVW) approach served as the primary Mendelian randomization analysis, while MR-Egger, weighted median, weighted mode, and simple mode methods were additionally applied to evaluate potential relationships between prostatitis… More >

Da Fang¹, Xianbing Chen^2,*, Chenxiao Chu^3,*, Xinhou Liu⁴, Mengyu Zhu⁵, Jinliang Zhu⁶

Frontiers in Heat and Mass Transfer, Vol.24, No.3, 2026, DOI:10.32604/fhmt.2026.079777 - 29 June 2026

Abstract A three-dimensional numerical model of a water-driven steam ejector was developed using the Euler-Euler two-fluid framework. A direct-contact condensation (DCC) heat and mass transfer model was employed to simulate the complex two-phase flow and energy exchange. The distributions of gas-liquid phases, pressure, and temperature were obtained to evaluate performance. Results indicate that within the investigated operating range (p_p = 140–160 kPa), the entrainment ratio (ER) and temperature rise (DT) are highly coupled, with DT varying from 5.33 to 11.49 K. The maximum temperature rise of 11.49 K was achieved at p_p = 140 kPa, T_p = 310 K,… More >

Verónica García-Tribaldos¹, Laura Lacomba-Trejo^2,*

International Journal of Mental Health Promotion, Vol.28, No.6, 2026, DOI:10.32604/ijmhp.2026.078835 - 23 June 2026

Abstract Backgrounds: Adverse childhood experiences (ACEs) can increase the likelihood of developing insecure attachment patterns, which in turn may heighten economic concerns and couple dissatisfaction—both generally and particularly in the context of assisted reproduction treatments (ART). These processes together elevate the risk of postpartum depression (PPD). Methods: This study examined psychosocial and relational predictors of PPD in a sample of 149 Spanish women up to 12 months postpartum following ART. (8.1% = artificial insemination with a sperm donor; 12.1% = artificial insemination without a sperm donor; 67.1% = in vitro fertilization; 20.8% = intracytoplasmic sperm injection; 12.8% =… More >

Xiaolan Li^1,2, Yanting Wang^1,2,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.076417 - 18 June 2026

Abstract To address the operational challenges of power systems with high renewable penetration, this research targets the non-stationarity and stochasticity of wind power. A novel hybrid framework for probabilistic forecasting and risk assessment is proposed. Initially, Empirical Mode Decomposition (EMD) adaptively decomposes the raw power signal into multi-scale Intrinsic Mode Functions (IMFs) and a residual trend, effectively segregating temporal features and reducing complexity. These components are then fused with historical data to form a comprehensive input. The core predictor is a Bidirectional Gated Recurrent Unit (BiGRU) network enhanced with a Temporal Attention (TA) mechanism. The BiGRU… More >

Guofeng Zhuang¹, Xiuzhen Zhao², Xuemei Luo^3,*, Shibin Chen³, Xujun Zhang³

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.072999 - 18 June 2026

Abstract This paper investigates voltage fluctuations in direct-drive wind farms induced by wide-band oscillations during grid integration. A sequence impedance model of the wind farm is established, incorporating key components such as direct-drive wind turbines, static var generators (SVGs), transformers, and transmission lines. Based on this model, positive- and negative-sequence impedance expressions are derived. The quantitative relationship among voltage fluctuation, system strength (short-circuit ratio, SCR), and power imbalance is formulated, leading to a comprehensive expression that highlights the influence of impedance mismatch between positive and negative sequences on wide-band oscillations. Simulation results confirm an approximately linear… More >

Ye Ri Han^1,*, Sang Bong Lee^2,3,4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079556 - 16 June 2026

Abstract Colorectal cancer liver metastasis (CRLM) remains a leading cause of cancer-related mortality, with clinical outcomes limited by biological heterogeneity and inconsistent therapeutic responses. Despite advances in systemic chemotherapy, targeted agents, immunotherapy, and liver-directed interventions, the translation of preclinical efficacy into clinical benefit remains suboptimal, highlighting the need for predictive experimental models. However, therapeutic efficacy in CRLM is highly model-dependent, and discrepancies between preclinical findings and clinical outcomes often arise from differences in biological fidelity across experimental platforms. This review critically examines preclinical platforms used to study CRLM, with emphasis on orthotopic and metastatic models that More >