Hamed Alqahtani¹, Gulshan Kumar^2,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077367 - 09 April 2026

Abstract Large Language Models (LLMs) are becoming integral components of modern cybersecurity ecosystems, simultaneously strengthening defensive capabilities while giving rise to a new class of Artificial Intelligence–Generated Content (AIGC)-driven threats. This PRISMA-guided systematic review synthesises 167 peer-reviewed studies published between 2022 and 2025 and proposes a unified threat–defence–evaluation taxonomy as a central analytical framework to consolidate a previously fragmented body of research. Guided by this taxonomy, the review first examines AIGC-enabled threats, including automated and highly personalised phishing, polymorphic malware and exploit generation, jailbreak and adversarial prompting, prompt-injection attack vectors, multimodal deception, persona-steering attacks, and large-scale… More >

Muhammad Adnan Tariq¹, Sunawar Khan², Tehseen Mazhar^2,3, Tariq Shahzad⁴, Sahar Arooj⁵, Khmaies Ouahada⁶, Muhammad Adnan Khan^7,*, Habib Hamam^8,9,10,11

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078672 - 30 March 2026

Abstract The contemporary smart cities, smart homes, smart buildings, and smart health care systems are the results of the explosive growth of Internet of Things (IoT) devices and deep learning. Yet the centralized training paradigms have fundamental issues in data privacy, regulatory compliance, and ownership silo alongside the scaled limitations of the real-life application. The concept of Federated Deep Learning (FDL) is a privacy-by-design method that will enable the distributed training of machine learning models among distributed clients without sharing raw data and is suitable in heterogeneous urban settings. It is an overview of the privacy-preserving… More >

M. Mohsin Raza^1,#, Muhammad Umair^1,#, Imran Arshad Choudhry¹, Muhammad Qasim¹, Muhammad Tahir Naseem^2,*, Mamoona Naveed Asghar³, Daniel Gavilanes^4,5,6,7, Manuel Masias Vergara^4,8,9, Imran Ashraf^10,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2025.074164 - 30 March 2026

Abstract Over the past decade, the landscape of cybersecurity has been increasingly shaped by the growing sophistication and frequency of malware attacks. Traditional detection techniques, while still in use, often fall short when confronted with modern threats that use advanced evasion strategies. This systematic review critically examines recent developments in malware detection, with a particular emphasis on the role of artificial intelligence (AI) and machine learning (ML) in enhancing detection capabilities. Drawing on literature published between 2019 and 2025, this study reviews 105 peer-reviewed contributions from prominent digital libraries including IEEE Xplore, SpringerLink, ScienceDirect, and ACM… More >

Jian Li^1,*, Yide Chen², Xinyi Zhao³, Eryong Xue^3,*

International Journal of Mental Health Promotion, Vol.28, No.3, 2026, DOI:10.32604/ijmhp.2026.073286 - 31 March 2026

Abstract Background: The mobility of people in rural areas may lead to more and more left-behind children (LBC) appearing, and being an LBC brings a lot of risks to mental health, which could greatly hinder children’s development and undermine their happiness and safety in life. Previous scholars have conducted plenty of studies that focused on Chinese rural LBCs’ mental health issues, such as what they exactly look like and some potential factors, but there remains a paucity of reviews about the relationship among certain mental health issues. We will try to figure out how the most common… More >

Francesco Chiari^1,*, Giovanni Motta², Daria Maria Filippini³, Claudio Donadio Caporale¹, Pierre Guarino¹

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.073086 - 23 March 2026

Abstract Objective: Mucoepidermoid carcinoma (MEC) of the larynx is an extremely rare malignancy, accounting for less than 1% of primary laryngeal tumors. The optimal role of adjuvant therapy, particularly radiotherapy (RT), remains unclear due to limited evidence. This systematic review aimed to evaluate oncologic outcomes and the impact of adjuvant treatment in patients with early- and advanced-stage laryngeal MEC. Methods: A systematic literature search was performed according to PRISMA 2020 guidelines in PubMed/Embase, Scopus, and Cochrane for studies published up to 31 July 2025. Results: Twenty-two studies, encompassing 55 patients, were included. Early-stage (T1–T2) patients (n =… More >

Donatella Coradduzza^1,#, Anna La Salvia^2,#, Giuseppe Fanciulli³, Maria Rosaria De Miglio^3,*

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.073045 - 23 March 2026

Abstract Background: An increasing number of studies have shown that ferroptosis is related to the initiation and development of small cell lung cancer (SCLC). The systematic review aimed to summarize the characteristics of ferroptosis from its pathogenetic role to translational therapeutic implications in SCLC. Methods: This systematic review, registered in PROSPERO (CRD420251090058), followed PRISMA 2020 guidelines. Comprehensive research of PubMed, Scopus, and Web of Science was performed for studies published between January 2010 and July 2025 investigating ferroptosis mechanisms, genetic or pharmacological modulation, or molecular profiling in SCLC. Two reviewers independently performed data extraction and quality… More >

Richard Mathenge^*, Catherine Mukunga, Ephantus Mwangi

Journal of Cyber Security, Vol.8, pp. 129-151, 2026, DOI:10.32604/jcs.2026.077183 - 11 March 2026

Abstract The rapid digitization of microfinance institutions (MFIs) has strengthened financial inclusion but has simultaneously increased exposure to phishing attacks and other cybersecurity threats driven by organizational, technical, and human vulnerabilities. Grounded in socio-technical systems theory, this systematic analysis evaluates AI-based mitigation strategies, with particular emphasis on gated recurrent unit (GRU) architectures. It compares them with Transformer and LSTM models. GRUs are prioritized due to their computational efficiency and suitability for low-resource environments typical of digital MFIs. Following PRISMA 2020 guidelines, 32 empirical studies published between January 2012 and April 2025 were analyzed from the Web… More >

Qiang Li¹, Lan Wu², Yi Zhang¹, Di Huang³, Song Ou-Yang¹, Jia-Yu Yang³, Bing-Hui Li^3,*, Xian-Tao Zeng^1,3,4,5,*

Canadian Journal of Urology, Vol.33, No.1, pp. 7-20, 2026, DOI:10.32604/cju.2026.076741 - 28 February 2026

Abstract Objective: Current research highlights periodontal disease as a systemic inflammatory condition that may influence extra-oral diseases such as prostatic diseases, which prompted us to explore the potential association. To evaluate whether periodontal disease is associated with an increased risk of prostatic disease, including prostate cancer, benign prostatic hyperplasia (BPH), and prostatitis. Methods: A systematic search of observational studies concerning the relationship between periodontal disease and prostatic disease was performed in online databases PubMed, Embase, Web of Science, Scopus, CENTRAL, CNKI, and WanFang. Searches were conducted from database inception to 31 July 2025. Pooled hazard ratio… More >

Bara Barakat^1,*, Bilal Al-Absi¹, Boris Hadaschik², Christian Rehme², Samer Schakaki³, Joerg Bauer¹

Canadian Journal of Urology, Vol.33, No.1, pp. 105-116, 2026, DOI:10.32604/cju.2026.071284 - 28 February 2026

Abstract Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dynamic operating environment during uro-oncological procedures. This review aims to examine the current applications of AI in robotic uro-oncology, with a particular focus on its role in facilitating intraoperative navigation during complex surgeries. Methods: A systematic literature search was performed across PubMed, the National Library of Medicine, MEDLINE, the Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrials.gov, and Google Scholar to identify relevant studies published up to July 2025.… More >

Natalie Y. Luo¹, Edie L. Sperling^2,*, Juliette Lum²

International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2026.074948 - 27 February 2026

Abstract Objectives: Healthcare students experience significant stress due to their rigorous graduate school curricula. These levels of stress are associated with higher risks of depression, self-harm, and exhaustion. Coping interventions have been shown to help students develop healthy stress coping strategies. The purpose of this systematic review and meta-analysis was to examine the diverse array of coping interventions and what characteristics of coping interventions were most effective at decreasing stress among healthcare students. Methods: Any intervention designed to address coping for academic stress was included among medical, dental, nursing, physician assistant, allied health, veterinary, psychology, etc. students.… More >