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  • Open Access

    ARTICLE

    A Coupled PBM-FEM-SPH Investigation of Air-Decked Charge Structures for Improved Fragmentation and Flyrock Control in Bench Blasting

    Zuoming Yin1,2,*, Qiang Zhao1, Feng Xie1, Jingjiu Bi1, Jianlong Wang1, Shupeng Zhang1, Haonan Wang1, Xiaolong Li1

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.080516 - 30 June 2026

    Abstract Optimizing the utilization of explosive detonation energy through bench blasting is central to improving both the efficiency and safety of open-pit mining operations. However, conventional blasting geometries often produce a non-uniform energy distribution, with excessive toe burden at the bench base and insufficient crest burden near the slope top, conditions that can significantly increase the risk of flyrock. This study proposes an air-decked charge configuration to mitigate these imbalances and enhance blast performance. A coupled numerical framework integrating the Particle Blast Method, Finite Element Method, and Smoothed Particle Hydrodynamics is employed, complemented by high-speed photographic More >

  • Open Access

    ARTICLE

    Injection Damage in Tight Oil Reservoirs: Coupled Scaling and Fouling Mechanisms

    Yong Wang1,2, Qingqing Cao3, Changhao Yan2, Xinyu Tang2,3, Dingxue Zhang1,*, Jingyi Zhu3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.075131 - 30 June 2026

    Abstract Injection damage in the M tight oil reservoir is controlled by the coupled effects of inorganic scaling and organic fouling at the pore scale. To clarify the governing mechanisms, this study combines long-duration core flooding, water-chemistry compatibility analysis, and thermodynamic scale prediction with NMR T2 spectroscopy, mercury intrusion capillary pressure, SEM-EDS characterization, and factor-controlled microfluidic visualization that reproduces reservoir pore geometry and wettability. Core flooding tests reveal permeability reductions of 61 to 73 percent after 12 to 24 hours of injection, indicating progressive contraction of effective flow channels. NMR T2 spectra demonstrate strong pore-size selectivity: small… More >

  • Open Access

    ARTICLE

    Durability and Cracking Resistance Evaluation of Recycled Asphalt Concrete Pavement with High RAP Content

    Rong Wang1, Zhilin Feng2, Xinxin Cao3,*, Jiangbo Qin4

    Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078438 - 30 June 2026

    Abstract To address the critical issues of low-temperature cracking and insufficient fatigue durability in high-content Recycled Asphalt Pavement (RAP) mixtures caused by aging-induced embrittlement, this study aims to establish a cross-scale cracking resistance evaluation system ranging from binder rheological properties to mixture failure behavior. This research selected various RAP contents (15%–60%) and rejuvenator dosages (0%–12%) to quantify the fatigue damage evolution of rejuvenated binders using Linear Amplitude Sweep (LAS) tests combined with the Viscoelastic Continuum Damage (VECD) model. Furthermore, Semi-Circular Bend (SCB) tests were employed under two loading modes—low-temperature (−12°C) monotonic loading and intermediate-temperature (20°C) cyclic… More >

  • Open Access

    ARTICLE

    Influence of Different Fibers on the Bonding Performance between Recycled Aggregate Concrete and Steel Bars

    Hongmei Chen1,*, Ronggui Liu1, Feifei Jiang1, Hsing-Wei Tai2,3

    Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078326 - 30 June 2026

    Abstract This paper analyzes the influence of different fibers (polypropylene fibers and basalt fibers) and fiber contents (0%–0.20%) on the bonding performance between recycled coarse aggregate concrete and steel bars. The results show that the addition of recycled aggregates can reduce the fluidity of concrete, whereas the addition of fibers can further reduce the fluidity of concrete. The addition of fibers can effectively improve the mechanical properties of concrete (polypropylene fiber can increase compressive strength and splitting tensile strength by 7.80% and 6.09%, respectively, while basalt fiber can increase compressive strength and splitting tensile strength by… More >

  • Open Access

    REVIEW

    Modified versus traditional Devine procedure for pediatric concealed penis: a systematic review and meta-analysis#

    Jinwei Mao1,, Jie Deng2, Xiqi Peng2, Xunbao Wang2, Song Wu1,*

    Canadian Journal of Urology, Vol.33, No.3, pp. 657-673, 2026, DOI:10.32604/cju.2025.072113 - 29 June 2026

    Abstract Background: Concealed penis (CP) is a common congenital condition in pediatric urology, and surgical correction remains the mainstay of treatment. The modified Devine procedure (MDP) has been increasingly used, but its comparative safety and effectiveness relative to the traditional Devine procedure (TDP) remain unclear. This study aimed to compare the safety and effectiveness of the MDP with the TDP for the treatment of pediatric CP. Methods: This systematic review and meta-analysis was conducted in accordance with the PRISMA 2020 and AMSTAR guidelines. Prospective, retrospective, and randomized controlled studies comparing MDP and TDP for pediatric CP… More >

  • Open Access

    ARTICLE

    Study on Heat Transfer in Double-Layer Topologically Optimized Microchannels under Non-Uniform Heat Sources in 2.5D Chips

    Yechao Qin1, Zezhong Hou1, Xiaojun Dai2, Zhenqian Chen1, Bo Xu1,*

    Frontiers in Heat and Mass Transfer, Vol.24, No.3, 2026, DOI:10.32604/fhmt.2026.079464 - 29 June 2026

    Abstract To address the increasing thermal management demands of electronic devices, this study proposes a single-inlet, single-outlet counterflow double-layer microchannel structure optimized for non-uniform heat sources and conducts a numerical analysis. The research focuses on designing a double-layer microchannel structure through topology optimization under 2.5D chip non-uniform heat source conditions. Its heat dissipation performance is compared with traditional linear microchannels to analyze the advantages of the topology-optimized microchannel. In a simulated 2.5D heat source scenario comprising a 240 W logic chip and four 40 W memory chips, the average temperature at the bottom of the topologically… More >

  • Open Access

    REVIEW

    Next-Generation Wind Hybrid Energy Systems: Grid-Interactive, Hydrogen-Enabled, and AI-Orchestrated Pathways for Sustainable Electrification

    Jalpa Thakkar1, Siddharth Shankar Mishra2, V. Shanmugapriya3, Mohan Kolhe4,*

    Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078267 - 18 June 2026

    Abstract The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements of modern power systems, is the need for holistic architectures that can cope with variability, connection issues, and sector coupling far beyond conventional electricity-only models. This review offers a critically synthesized, process-level overview of progressive wind–hydrogen hybrids, offering a collective view of advancements in electrical layouts, hydrogen-driven conversion routes, and AI-driven control schemes. In contrast to previous surveys that consider these areas in isolation, we provide an explicit examination of the technical… More >

  • Open Access

    REVIEW

    Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies

    Raquel Sanchez-Baltasar1, Nerea Castañeda-Fernández1, Jorge Olivares-Arancibia2, Carlos Torres-Villar3,4, Julio Plaza-Diaz5,6,7,8,*, Lourdes Herrera-Quintana1,*

    Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.081924 - 16 June 2026

    Abstract Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with substantial international disparities in incidence, stage at diagnosis, access to treatment, and survival. In recent years, BC management has evolved rapidly through advances in molecular characterization, imaging, pathology, targeted therapies, immunotherapy, and survivorship care. Nevertheless, important gaps persist in early and accurate detection, biomarker standardization, equitable access to care, and patient-specific treatment selection. These advances require timely, evidence-based, and context-specific clinical frameworks to support appropriate implementation, and to avoid the use of… More >

  • Open Access

    ARTICLE

    HiFraud: Hierarchical Privacy-Preserving Federated Learning with Star-Chain Knowledge Transfer for Cross-Institutional Fraud Detection

    Zhihao Zhang1,#, Zhuodong Liu1,#, Xiangyu Li2, Lei Zhang1,*

    CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.081922 - 15 June 2026

    Abstract Financial fraud detection across institutions faces a fundamental tension between the need for diverse training data and regulatory prohibitions on sharing sensitive records. Existing federated learning approaches suffer from performance degradation under non-IID distributions and substantial utility losses when uniform differential privacy is applied to inherently sparse fraud signals. To this end, this paper proposes HiFraud, a hierarchical federated framework featuring three key components: fraud-aware dynamic clustering with complementarity regularization to group institutions by fraud pattern similarity while preserving rare-type representation; star-chain knowledge transfer augmented by not-true-class distillation to propagate novel fraud patterns rapidly within… More >

  • Open Access

    ARTICLE

    Knowledge Graph-Driven Training Data Construction for Urban Flood-Traffic Scenario Generation Using Small Language Models

    Geunhwi Park1, Juneyoung Park2,*, Chunjoo Yoon3, Jaehong Park3

    CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.081652 - 15 June 2026

    Abstract Urban flooding caused by extreme rainfall events disrupts transportation systems, yet generating realistic flood-traffic scenarios for disaster preparedness remains a labor-intensive manual process. This study proposes a Knowledge Graph (KG)-driven pipeline that automatically generates domain-specific training data for fine-tuning small language models (sLLMs) to synthesize urban flood-traffic scenarios. A domain KG comprising 58 entities and 285 relationships was constructed for Jinju City, South Korea, integrating empirical flood data from 112 local documents with quantitative rainfall-traffic impact values from 14 international studies. Nine domain constraint rules, including a novel spatial consistency rule, ensure the physical plausibility… More >

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