Cecilia Castro¹, Victor Leiva^2,*, Franco Basso^2,3

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1481-1543, 2025, DOI:10.32604/cmes.2025.067992 - 31 August 2025

Abstract Metaverse technologies are increasingly promoted as game-changers in transport planning, connected-autonomous mobility, and immersive traveler services. However, the field lacks a systematic review of what has been achieved, where critical technical gaps remain, and where future deployments should be integrated. Using a transparent protocol-driven screening process, we reviewed 1589 records and retained 101 peer-reviewed journal and conference articles (2021–2025) that explicitly frame their contributions within a transport-oriented metaverse. Our review reveals a predominantly exploratory evidence base. Among the 101 studies reviewed, 17 (16.8%) apply fuzzy multi-criteria decision-making, 36 (35.6%) feature digital-twin visualizations or simulation-based testbeds,… More > Graphic Abstract

Imene Tatar Caliskan^1,2, George Dzorgbenya Ametefe³, Aziz Caliskan⁴, Su-Ee Lau^1,5, Yvonne Jing Mei Liew⁶, Nur Kusaira Khairul Ikram⁵, Boon Chin Tan^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2229-2254, 2025, DOI:10.32604/phyton.2025.067225 - 29 August 2025

Abstract Myeloblastosis (MYB) transcription factors (TFs) are evolutionarily conserved regulatory proteins that are crucial for plant growth, development, secondary metabolism, and stress adaptation. Recent studies have highlighted their crucial role in coordinating growth–defense trade-offs through transcriptional regulation of key biosynthetic and stress-response genes. Despite extensive functional characterization in model plants such as Arabidopsis thaliana, systematically evaluating the broader functional landscape of MYB TFs across diverse species and contexts remains necessary. This systematic review integrates results from 24 peer-reviewed studies sourced from Scopus and Web of Science, focusing on the functional diversity of MYB TFs, particularly in relation… More >

Jiao Li^1,2, Nurhayu Ab Rahman^1,3, Suharni Mohamad¹, Guang Yang⁴, Caixia Zhao^2,*

Oncology Research, Vol.33, No.9, pp. 2263-2278, 2025, DOI:10.32604/or.2025.065911 - 28 August 2025

Abstract Objectives: Checkpoint inhibitors have significantly improved outcomes in a number of malignancies. To determine the most effective course of treatment for head and neck squamous cell carcinoma (HNSCC), this systematic review evaluated the efficacy of several therapeutic approaches based on immune checkpoint inhibitors (ICIs). Methods: A comprehensive evaluation of the literature was conducted, looking at randomized controlled trials (RCTs) that were published in Embase, PubMed, and the Cochrane Central Register of Controlled Trials since database establishment. The risk of bias of the enrolled studies was analyzed using The Review Manager (RevMan) 5.4. Using network meta-analyses… More >

Jian Li^1,*, Yunshu He², Yahao Wang¹, Eryong Xue^2,*

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 901-928, 2025, DOI:10.32604/ijmhp.2025.066538 - 31 July 2025

Abstract Background: Teachers from higher education commonly face substantial workloads, resulting in heightened stress and reduced well-being. This has spurred significant academic interest in the determinants of faculty well-being within higher education. Consequently, numerous studies have focused on both understanding these influencing factors and developing strategies to bolster teacher well-being, an area that has gained considerable traction as a research focus. Although systematic reviews have been conducted to elucidate the connections between well-being and particular attributes like emotional regulation, efficacy, and competency, there remains a paucity of reviews that holistically examine the multifaceted factors affecting the… More >

Fatima Tanveer¹, Faisal Iradat^1,*, Waseem Iqbal^2,*, Awais Ahmad³

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4223-4257, 2025, DOI:10.32604/cmc.2025.067536 - 30 July 2025

Abstract RESTful APIs have been adopted as the standard way of developing web services, allowing for smooth communication between clients and servers. Their simplicity, scalability, and compatibility have made them crucial to modern web environments. However, the increased adoption of RESTful APIs has simultaneously exposed these interfaces to significant security threats that jeopardize the availability, confidentiality, and integrity of web services. This survey focuses exclusively on RESTful APIs, providing an in-depth perspective distinct from studies addressing other API types such as GraphQL or SOAP. We highlight concrete threats—such as injection attacks and insecure direct object references… More >

Hossana Maghiri Sufficient^*, Abdulazeez Murtala Mohammed, Bashir Danjuma

Journal of Cyber Security, Vol.7, pp. 239-253, 2025, DOI:10.32604/jcs.2025.066312 - 14 July 2025

Abstract The rapid integration of artificial intelligence (AI) into ethical hacking practices has transformed vulnerability discovery and threat mitigation; however, it raises pressing ethical questions regarding responsibility, justice, and privacy. This paper presents a PRISMA-guided systematic review of twelve peer-reviewed studies published between 2015 and March 2024, supplemented by Braun and Clarke’s thematic analysis, to map four core challenges: (1) autonomy and human oversight, (2) algorithmic bias and mitigation strategies, (3) data privacy preservation mechanisms, and (4) limitations of General Data Protection Regulation (GDPR) and the European Union’s AI Act in addressing AI-specific risks, alongside the… More >

Xiao Jian Tan^1,2,3,*, Wai Loon Cheor², Ee Meng Cheng^4,5, Chee Chin Lim^3,4, Khairul Shakir Ab Rahman⁶

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2015-2060, 2025, DOI:10.32604/cmc.2025.063407 - 03 July 2025

Abstract This study systematically reviews the applications of generative artificial intelligence (GAI) in breast cancer research, focusing on its role in diagnosis and therapeutic development. While GAI has gained significant attention across various domains, its utility in breast cancer research has yet to be comprehensively reviewed. This study aims to fill that gap by synthesizing existing research into a unified document. A comprehensive search was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, resulting in the retrieval of 3827 articles, of which 31 were deemed eligible for analysis. The included studies were… More >

Zhimei Cai^1,2,*, Faridah Mydin Kutty^1,*, Muhammad Syawal Amran¹

International Journal of Mental Health Promotion, Vol.27, No.6, pp. 753-769, 2025, DOI:10.32604/ijmhp.2025.064983 - 30 June 2025

Abstract Background: considering the significant issue of learning burnout among university students, it is essential to investigate the connection between mindfulness and learning burnout. This systematic review and meta-analysis sought to thoroughly examine the direct and indirect relationships between mindfulness and learning burnout. Methods: a comprehensive literature search was conducted in Scopus, Google Scholar, and Web of Science databases until 07 July 2024. A comprehensive literature review analysis of 19 articles was included, which identified three dimensions of learning burnout: emotions, behaviors, and outcomes, determined the indirect and direct relationships between mindfulness and learning burnout, and… More >

Mukesh Dalal^1,*, Payal Mittal²

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 57-91, 2025, DOI:10.32604/cmc.2025.066056 - 09 June 2025

Abstract Deep learning-based object detection has revolutionized various fields, including agriculture. This paper presents a systematic review based on the PRISMA 2020 approach for object detection techniques in agriculture by exploring the evolution of different methods and applications over the past three years, highlighting the shift from conventional computer vision to deep learning-based methodologies owing to their enhanced efficacy in real time. The review emphasizes the integration of advanced models, such as You Only Look Once (YOLO) v9, v10, EfficientDet, Transformer-based models, and hybrid frameworks that improve the precision, accuracy, and scalability for crop monitoring and More >

Nadia Amro^1,*, Lila de Tantillo²

International Journal of Mental Health Promotion, Vol.27, No.5, pp. 637-648, 2025, DOI:10.32604/ijmhp.2025.060988 - 05 June 2025

Abstract Background: Raising a child with attention deficit hyperactivity disorder (ADHD) is a key challenge for the primary caregiver. This systematic review aims to identify major burdens facing the primary caregiver of a child with ADHD. Methods: The electronic databases CINAHL, PubMed, and Google Scholar were searched for studies published in English from 2017 to 2022 assessing the challenges facing caregivers of a child with ADHD. The Johns Hopkins Nursing Evidence-Based Practice Model was used to assess quality and risk of bias of studies identified for inclusion. Articles were synthesized by evaluating principal themes of burden… More >