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  • Open Access

    ARTICLE

    Multiple Point MedSAM Prompting for Enhanced Medical Image Segmentation

    Wasfieh Nazzal1, Ezequiel López-Rubio1,2,3, Miguel A. Molina-Cabello1,2,3, Karl Thurnhofer-Hemsi1,2,3,*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.077561 - 12 March 2026

    Abstract Automatic and accurate medical image segmentation remains a fundamental task in computer-aided diagnosis and treatment planning. Recent advances in foundation models, such as the medical-focused Segment Anything Model (MedSAM), have demonstrated strong performance but face challenges in many medical applications due to anatomical complexity and a limited domain-specific prompt. This work introduces a methodology that enhances segmentation robustness and precision by automatically generating multiple informative point prompts, rather than relying on single inputs. The proposed approach randomly samples sets of spatially distributed point prompts based on image features, enabling MedSAM to better capture fine-grained anatomical… More >

  • Open Access

    REVIEW

    A Review on Penetration Testing for Privacy of Deep Learning Models

    Salma Akther1, Wencheng Yang1,*, Song Wang2, Shicheng Wei1, Ji Zhang1, Xu Yang3, Yanrong Lu4, Yan Li1

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076358 - 12 March 2026

    Abstract As deep learning (DL) models are increasingly deployed in sensitive domains (e.g., healthcare), concerns over privacy and security have intensified. Conventional penetration testing frameworks, such as OWASP and NIST, are effective for traditional networks and applications but lack the capabilities to address DL-specific threats, such as model inversion, membership inference, and adversarial attacks. This review provides a comprehensive analysis of penetration testing for the privacy of DL models, examining the shortfalls of existing frameworks, tools, and testing methodologies. Through systematic evaluation of existing literature and empirical analysis, we identify three major contributions: (i) a critical… More >

  • Open Access

    ARTICLE

    GaitMAFF: Adaptive Multi-Modal Fusion of Skeleton Maps and Silhouettes for Robust Gait Recognition in Complex Scenarios

    Zhongbin Luo1,2, Zhaoyang Guan3, Wenxing You2, Yunteng Wang2, Yanqiu Bi4,5,*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.075704 - 12 March 2026

    Abstract Gait recognition is a key biometric for long-distance identification, yet its performance is severely degraded by real-world challenges such as varying clothing, carrying conditions, and changing viewpoints. While combining silhouette and skeleton data is a promising direction, effectively fusing these heterogeneous modalities and adaptively weighting their contributions in response to diverse conditions remains a central problem. This paper introduces GaitMAFF, a novel Multi-modal Adaptive Feature Fusion Network, to address this challenge. Our approach first transforms discrete skeleton joints into a dense Skeleton Map representation to align with silhouettes, then employs an attention-based module to dynamically More >

  • Open Access

    ARTICLE

    LSTM-GRU and Multi-Head Attention Based Multivariate Time Series Prediction Model for Electro-Hydraulic Servo Material Fatigue Testing Machine

    Guotai Huang, Xiyu Gao, Peng Liu, Liming Zhou*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.074941 - 12 March 2026

    Abstract To address the insufficient prediction accuracy of multi-state parameters in electro-hydraulic servo material fatigue testing machines under complex loading and nonlinear coupling conditions, this paper proposes a multivariate sequence-to-sequence prediction model integrating a Long Short-Term Memory (LSTM) encoder, a Gated Recurrent Unit (GRU) decoder, and a multi-head attention mechanism. This approach enhances prediction accuracy and robustness across different control modes and load spectra by leveraging multi-channel inputs and cross-variable feature interactions, thereby capturing both short-term high-frequency dynamics and long-term slow drift characteristics. Experiments using long-term data from real test benches demonstrate that the model achieves… More >

  • Open Access

    ARTICLE

    Experimental Study of Hydraulic–Natural Fracture Interactions under Variable Geomechanical Conditions in Deep Shale of the Southern Sichuan Basin

    Bo Zeng1, Junfeng Li1, Liqing Chen1, Qiyong Gou1, Hao Luo2, Haiyan Zhu2, Xuanhe Tang2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.069978 - 04 March 2026

    Abstract Deep shale gas reservoirs in the southern Sichuan Basin are typically characterized by significant horizontal stress anisotropy (expressed as stress difference), variable brittleness–ductility in rock mechanics, and strong heterogeneity. These complex geomechanical conditions lead to pronounced differences in hydraulic fracturing outcomes among wells and sections. To investigate hydraulic fracture propagation and fracturing fluid injection behavior under varying geomechanical settings, true triaxial physical simulation tests were performed on 400 × 400 × 400 mm artificial rock samples. The samples were designed with different media properties based on similarity criteria. A sensitivity analysis was conducted to assess… More >

  • Open Access

    ARTICLE

    Keystone Fungal Endophytes of Panax Plants Drive the Conversion of Ginsenoside Rb1 to Rd

    Ruikang Ma1, Guangfei Wei2, Songzi Li2, Tongle Li1, Fugang Wei3, Yong Wang4, Guozhuang Zhang2,*, Linlin Dong1,2,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.075657 - 28 February 2026

    Abstract Keystone taxa are critical for microbial community homeostasis and ecological niche interactions. However, the functions and genomic traits of endophytic keystone fungi in plant tissues remain unclear. Via network analysis, this study identified keystone fungi Plectosphaerella (Plec) and Cladosporium (Clad) in roots/leaves of medicinal Panax plants (P. ginseng, P. quinquefolius, P. notoginseng). Both correlated strongly positively with ginsenoside Rd content in respective tissues (ρ > 0.6, p < 0.001). Co-cultivation confirmed their ability to convert ginsenoside Rb1 to Rd, linked to β-glucosidase activity. Whole-genome sequencing/assembly/evolutionary analysis of the two strains elucidated genomic features for their keystone roles and saponin biotransformation. More > Graphic Abstract

    Keystone Fungal Endophytes of <i>Panax</i> Plants Drive the Conversion of Ginsenoside Rb1 to Rd

  • Open Access

    ARTICLE

    Enhancement of Thermoelectric Properties in N-Type and P-Type Ag–Te Nanocomposites via Stirring-Assisted Hydrothermal Synthesis

    Donghyeon Lee#, Jiu Kim#, Yong-Wook Jeong#, Miso Shin, Yong Jin Jeong*

    Chalcogenide Letters, Vol.23, No.2, 2026, DOI:10.32604/cl.2026.077885 - 28 February 2026

    Abstract Silver tellurides (Ag–Te) are promising low-temperature thermoelectric materials because their transport properties can be tuned by subtle compositional variations and nanostructuring. Here, we report a stirring-assisted hydrothermal route that enables controlled synthesis of n-type and p-type Ag–Te nanostructures by adjusting the Ag:Te precursor ratio and hydrodynamic conditions. Samples with Ag:Te ratios of 2:1 (Ag2/Te1) and 1:2 (Ag1/Te2) were synthesized at 120°C for 12 h, varying the stirring speed from 0 to 2000 rpm. X-ray diffraction confirms Ag2Te as the dominant phase for Ag2/Te1 across all conditions, while Te-rich Ag1/Te2 forms a composite mainly consisting of Te More >

  • Open Access

    ARTICLE

    Endocrine stimulation in men with non-obstructive azoospermia and low serum testosterone prior to micro-TESE: hormonal response as a predictor of sperm retrieval

    Shlomi Barak1, Netanel Waldenberg1, Aharon Peretz2, Reut Bartoov1, Guy Bar1, Snir Dekalo3,*

    Canadian Journal of Urology, Vol.33, No.1, pp. 135-142, 2026, DOI:10.32604/cju.2025.066936 - 28 February 2026

    Abstract Background: Hormonal treatment and response as a predictor of sperm retrieval prior to microdissection testicular sperm extraction (micro-TESE) are not well established in the current literature. This study aimed to investigate the hormonal response as a predictor of sperm retrieval among men with nonobstructive azoospermia (NOA). Methods: Seventy-seven consecutive patients who had testosterone levels ≤ 14 nmol/L were treated medically with an aromatase inhibitor or recombinant human chorionic gonadotropin (rec-hCG) prior to micro-TESE and were included. Thirty-four (44.2%) had unexplained NOA (UNEX), 25 (32.5%) had Klinefelter syndrome (KS), 8 (10.4%) had a history of cryptorchidism… More >

  • Open Access

    REVIEW

    Photoreforming of Organic Waste into Hydrogen: Catalyst Design, Feedstock Valorization, and Future Perspectives

    Mirna Omar1,*, Sarah Omar1, Kamaruzzaman Sopian1,2, Taib Iskandar Mohamad1

    Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2026.072583 - 27 February 2026

    Abstract Photoreforming is an emerging photocatalytic process that converts organic waste into hydrogen H2 using solar energy, offering a dual solution for waste valorization and sustainable fuel production. This review comprehensively examines the fundamental mechanisms of photoreforming, emphasizing the critical role of photocatalyst design in optimizing hydrogen evolution. Key criteria for effective photocatalysts including suitable band edge positions, broad spectrum solar absorption, and photostability are systematically analyzed alongside advances in heterojunction engineering and defect modulation. The review further explores diverse waste-derived feedstocks, such as biomass: alcohols, saccharides, lignin and plastics: PET, PLA, polyolefins, highlighting substrate, specific challenges More > Graphic Abstract

    Photoreforming of Organic Waste into Hydrogen: Catalyst Design, Feedstock Valorization, and Future Perspectives

  • Open Access

    ARTICLE

    Compliance with Three Movement Behaviors and Psychological Health among Adults with Diabetes

    Wenjiao Li1, Shiliang Chen1, Shihui Chen2, Xinxing Li3, Yanjie Zhang4,5,*

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2026.072912 - 27 February 2026

    Abstract Objectives: 24-h movement behaviors (24-HMB), encompassing physical activity, sedentary behavior, and sleep duration, are increasingly regarded as interrelated and important factors for mental health. However, evidence on the comprehensive association of these behaviors with mental health in adults with diabetes in developing countries remains scarce. This study examined the association between 24-HMB guidelines and psychological health among adults with diabetes in developing countries. Methods: Data were retrieved from the World Health Organization’s study on Global Aging and Adult Health Survey dataset. Adults (N = 1905) diagnosed with diabetes from five low-and middle-income countries were included. The… More >

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