Mohammed Alghannam¹, Marwan Abdulqader¹, Amin Al-Fakih^1,2,*

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.079454 - 24 August 2026

Abstract This review presents a comprehensive evaluation of jacketing techniques used in reinforced concrete (RC) columns repair and rehabilitation. It critically examines reinforced concrete jacketing, steel jacketing, fiber-reinforced polymer (FRP) jacketing, fiber-reinforced cementitious matrix (FRCM) jacketing, and ferrocement jacketing based on recent experimental, analytical, and numerical studies. The paper discusses material characteristics, application methods, and performance under different loading and environmental conditions. Special focus is placed on advancements such as hybrid FRP systems and high-performance composites, which aim to overcome limitations of traditional jacketing techniques. The review also explores non-destructive testing methods for assessing retrofitted structures. More >

Ren-Peng Yu^1,2,3, Ou-Yang Song¹, Hong Weng^2,3, Yong-Bo Wang², Bing-Hui Li², Hao Zi⁴, Yu Hao¹, Qiang Li^1,*, Xian-Tao Zeng^1,2,3,*

Canadian Journal of Urology, Vol.33, No.4, pp. 753-770, 2026, DOI:10.32604/cju.2026.079426 - 21 August 2026

Abstract Objective: While novel 450 nm blue laser vaporization of the prostate (BLVP) has emerged as a promising treatment for benign prostatic hyperplasia (BPH), comprehensive evidence-based validation remains lacking. Therefore, this study aims to evaluate the efficacy and safety of BLVP for BPH. Methods: A systematic search was conducted in PubMed, Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), VIP, and Wanfang database up to 1 September 2025 (an updated search was performed on 31 December 2025). Single-arm meta-analyses summarized the absolute efficacy and safety of BLVP. For the comparison of BLVP with… More >

Attilio Barretta^1,2,*, Angelo Mottaran¹, Nicolas Carl², Francesco Prata^2,3, Sara Tamburini^1,2, Edoardo Beatrici², Mario De Angelis^2,4, Francesco Cei^2,4, Natali Rodriguez Peñaranda², Francesco Pepillo², Alessio Guidotti², Vincenzo Cavarra², Claudio Brancelli², Pietro Pasquini², Pietro Piazza¹, Cristian Vincenzo Pultrone¹, Hussam Dababneh¹, Lorenzo Bianchi¹, Alessandro Larcher⁴, Alexandre Mottrie², Rocco Papalia³, Riccardo Schiavina¹

Canadian Journal of Urology, Vol.33, No.4, pp. 783-793, 2026, DOI:10.32604/cju.2026.078354 - 21 August 2026

Abstract Objectives: Complex cystic renal lesions pose a significant diagnostic challenge in the preoperative assessment of malignancy. Although percutaneous renal mass biopsy is well established for solid tumours diagnosis, its role in cystic lesions remains controversial. This systematic review aims to evaluate the diagnostic performance, safety, and clinical impact of percutaneous sampling—fine-needle aspiration (FNA) and core needle biopsy (CNB)—in Bosniak III–IV renal cysts. Methods: A systematic review and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [International Prospective Register of Systematic Reviews (PROSPERO) ID CRD420251124563]. PubMed/MEDLINE (Medical Literature… More >

Jianlin Xie^1,#, Qingwei Zhang^1,#, Jingde Wu¹, Yingjun Ma², Yujie Yan², Xiande Huang^3,*

Canadian Journal of Urology, Vol.33, No.4, pp. 1027-1033, 2026, DOI:10.32604/cju.2026.076571 - 21 August 2026

Abstract Background: Primary urethral malignant melanoma is an extremely rare malignancy of mucosal origin. Its clinical manifestations are non-specific, often leading to misdiagnosis or delayed diagnosis. Due to its highly aggressive nature and propensity for early metastasis, patient prognosis is generally poor. Case description: This case report describes an 81-year-old Chinese female patient who presented to the Department of Urology at Gansu Provincial Hospital with the chief complaint of “a black mass at the external urethral meatus accompanied by urinary incontinence for two months. Physical examination revealed a dark, protruding mass at the external urethral orifice. Imaging… More >

Usman Khalid¹, Nikhil Shah¹, Rajesh Kavia², Deepak Batura^2,*

Canadian Journal of Urology, Vol.33, No.4, pp. 735-752, 2026, DOI:10.32604/cju.2026.074820 - 21 August 2026

Abstract Bladder cancer (BCa) diagnosis relies heavily on cystoscopy and imaging. Both have limited sensitivity and accuracy, particularly for muscle-invasive disease. Artificial intelligence (AI) has emerged as a promising tool for improving detection, grading, and staging by extracting imaging features that exceed human perception. We conducted a narrative review of peer-reviewed, English-language studies published between 2015 and 2025. We identified 75 articles and synthesized data from 35 key studies retrieved via PubMed, Google Scholar, Scopus, and Embase. Data were synthesized narratively, emphasizing diagnostic performance, clinical relevance, and study limitations. In cystoscopy, AI models achieved high accuracy… More >

Xiruo Chen, Qi Ouyang^*, Sihong Meng, Yuke Meng

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.086341 - 13 August 2026

Abstract Visual simultaneous localization and mapping (VSLAM) is a key technology for mobile robotics, autonomous driving, and embodied intelligence, enabling self-localization, environment reconstruction, and scene understanding. Although conventional geometric methods have achieved notable success, their performance often degrades in challenging conditions, such as low-texture scenes, severe illumination changes, dynamic interference, and long-term environmental variations. Recent advances in deep learning have created new opportunities to improve VSLAM through stronger feature representations, learned priors, semantic perception, and emerging map representations. At the same time, the increasing adoption of learning-based modules has raised important questions about integration strategies, generalization,… More >

Mukesh Dalal^1,*, Anterpreet Kaur Bedi¹, Payal Mittal²

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.086270 - 13 August 2026

Abstract Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible surroundings. Simultaneous Localization and Mapping (SLAM) facilitates autonomous navigation of robots and vehicle objects to construct an unfamiliar environment map while concurrently monitoring their inside position. This systematic review investigates the nascent convergence of agentic AI, defined by goal-oriented autonomy, with adaptive decision-making and reasoning, with SLAM-based navigation systems. This paper utilized Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, which concentrated on peer-reviewed articles published in (2017–2026), particularly in SLAM-based intelligent… More >

Milad Moradi^*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.086229 - 13 August 2026

Abstract Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision support, and human-computer interaction. Their growing deployment, however, has intensified concerns regarding safety, alignment, and robustness, especially as these models become integrated with external tools, retrieval systems, and increasingly agentic workflows. This review provides an analytical overview of the principal risks, technical advances, evaluation practices, and future directions in this area. It first clarifies the conceptual foundations of safety, alignment, robustness, and reliability in the context of LLMs. It then examines the major risk categories associated with More >

Ali Hassan¹, Syed Rizwan Hassan^2,*, Ammar Rafiq³

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084672 - 13 August 2026

Abstract Artificial Intelligence of Things (AIoT) systems have emerged through the rapid integration of artificial intelligence (AI) and the Internet of Things (IoT), enabling intelligent sensing, distributed learning, and real-time decision-making across diverse application domains. However, this convergence also introduces a significantly expanded adversarial attack surface spanning sensing devices, communication networks, learning pipelines, and actuation environments. This paper presents a comprehensive systematic review of adversarial threats and defence mechanisms in AIoT systems using a novel 3D-AIoT-TT (Three-Dimensional AIoT Threat Taxonomy) framework. The proposed taxonomy jointly models three fundamental dimensions: (i) AI pipeline stages, (ii) IoT architectural… More >

Hsiao-Chun Han¹, Der-Chen Huang^2,*, Chin-Ling Chen^3,*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084216 - 13 August 2026

Abstract Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced processes is strongly influenced by coupling among engineering systems, material behavior, and computational infrastructure. Consequently, the integration of deep learning (DL) and digital twins has become essential for driving the next-generation transformation of smart manufacturing. However, existing reviews predominantly organize literature through algorithm-oriented taxonomies, while isolated AI paradigms alone remain insufficient to effectively capture system-level interactions and industry-driven technological evolution. Therefore, this study proposes a system-oriented and industry-driven review framework, termed the System-under-Industry Guided… More >