Kanyang Jiang¹, Yingkai Kang², Ming Li^2,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.083294 - 15 June 2026

Abstract The Internet of Vehicular Agents (IoVA) interconnects distributed AI agents across vehicular networks to deliver real-time intelligent services for vehicular users. Due to the limited computing capacity of vehicles, AI agents are deployed on nearby RoadSide Units (RSUs) to perform computation-intensive inference. As vehicles traverse RSU coverage boundaries, AI agents must migrate to target RSUs to maintain service continuity. However, the communication and computing resources at each RSU are shared among multiple co-served vehicles, creating coupled allocation decisions that jointly determine system latency and energy consumption. To address this challenge, we propose a low-latency and… More >

Pan Li^1,2, Zhi Li³, Yingyou Wen^2,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.083087 - 15 June 2026

Abstract The rapid advancement of edge intelligence in Industrial Internet of Things (IIoT) is transforming human–computer interaction from conventional “command execution” to complex “human–AI deep collaboration”. Within such safety-critical industrial environments, establishing robust mutual understanding and trust mechanisms becomes a significant prerequisite for decision reliability and efficiency. However, existing industrial interaction systems predominantly focus on task progression and explicit command responses, lacking fine-grained, dynamic tracking of operators’ trust states, cognitive evolution, and behavioral dynamics. Moreover, current LLM-based user simulation in evaluation often exhibit an “over-cooperation” bias, failing to capture the cognitive conflicts and trust crises characteristic… More >

Leonidas Theodorakopoulos, Alexandra Theodoropoulou^*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.082270 - 15 June 2026

Abstract Auditable autonomy is becoming a practical requirement for deploying large language model (LLM) agents in operational workflows where recommendations can trigger consequential actions. Many autonomy claims remain hard to evaluate because studies emphasize task completion or fluent explanations while underreporting tool privileges, verification conditions, rollback feasibility, and trace completeness. This review develops a decision-making–centered framework that treats autonomy as an auditable engineering property. It introduces a three-plane big data foundation: an evidence plane with provenance and freshness constraints; a decision-trace plane that records retrieval identifiers, tool invocations, intermediate checks, and policy evaluations; and an outcomes More >

Yejin Kwon¹, Jeongcheol Lee¹, Youngbom Park^2,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080249 - 15 June 2026

Abstract The web-based High-Performance Computing (HPC) platform provides a simulation environment that enables users to perform computational science and engineering tasks through web services, thereby eliminating the need for complex terminal-based environments. Notwithstanding the aforementioned advantages, extant platforms frequently necessitate a considerable degree of user expertise, whilst the intricacy of simulation configuration and execution engenders limitations in terms of accessibility and usability. Furthermore, while Retrieval-Augmented Generation (RAG)-based systems are effective for information retrieval, they are insufficient for accurately constructing and invoking executable service tools. In order to address these limitations, this study proposes a user agent… More >

AKM Bahalul Haque^1,*, Al Amin Islam Ridoy², Mohammad Rayhan³, Ivan Porres¹

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079525 - 15 June 2026

Abstract Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation across various domains. This rapid advancement and the potential to revolutionize various domains advocate the need for a deeper understanding and firm grasp of the technology. Moreover, an investigation into state-of-the-art research directions in agentic AI needs to be conducted to comprehensively assess the potential scope for improvement and application. Therefore, to address these objectives, a comprehensive review can provide researchers and practitioners with valuable insights into the current state and future research scopes… More >

Karlo Borovčak¹, Marina Bagić Babac^1,*, Vedran Mornar²

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.078330 - 15 June 2026

Abstract This study examines the potential of open-source foundation models for structured data analytics, with particular emphasis on SQL generation and business-oriented interpretation in single-agent and multi-agent large language model (LLM) systems. The proposed framework addresses a practical problem in analytics-intensive environments, where natural-language requests must be translated into executable, semantically appropriate SQL queries and subsequently interpreted in a form useful for business decision-making. The system is evaluated in two complementary settings: a custom SQL test suite designed around realistic marketing and e-commerce analytics tasks, and the public Spider benchmark, which supports comparison with prior text-to-SQL… More >

I. Nur Azreena^*, H. A. Aisyah, A. W. Noorshamsiana

Journal of Renewable Materials, Vol.14, No.5, 2026, DOI:10.32604/jrm.2025.02025-0178 - 28 May 2026

Abstract This study examined the impact of various pre-treatment techniques on the physical and mechanical characteristics of particleboards derived from oil palm trunks (OPT). Thermal and chemical pre-treatments of the fibers, including hot water, sodium hydroxide (NaOH), and acetic acid, were applied prior to board production. In addition, antifungal agents were incorporated as supplementary additives during the manufacturing process at varying percentages to evaluate their effect on panel performance. Morphology of the treated OPT fibers was examined, and panel properties such as thermal behavior, bending strength, bonding strength, and dimensional stability were evaluated. Statistically significant improvements (p… More >

Yenjou Wang¹, Chihtan Cheng², Jia-Wei Chang^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.080888 - 27 May 2026

Abstract As large language models (LLMs) become increasingly integrated into enterprise decision-making processes, structural pressures such as version drift, cross-source evidence integration, and regulatory accountability have shifted the primary challenge from isolated generative performance to system-level consistency, traceability, and governability. This paper systematically reviews key technological developments relevant to enterprise requirements, including document perception, retrieval-augmented generation (RAG), hybrid RAG-KG architectures, fine-grained attribution evaluation, and multi-agent coordination. The analysis demonstrates that the main obstacle to enterprise LLM adoption is not model capability, but rather the structural gap between fragmented technical modules and the need for high-reliability decision-making. More >

Emerson de Medeiros de Sousa^1,#, Salvador Barros Torres^2,#, Marciana Bizerra de Morais^3,#, Clarisse Pereira Benedito², Kleane Targino Oliveira Pereira², Moadir de Sousa Leite², Maria Valdiglezia de Mesquita Arruda², Jéssica Christie Dantas de Oliveira Costa², Roseane Rodrigues de Oliveira², Giovanna Dias de Sousa², Cynthia Cavalcanti de Albuquerque³, Marco Porceddu⁴, Gianluigi Bacchetta⁴, Francisco Vanies da Silva Sá^5,*

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.078410 - 27 May 2026

Abstract Semiarid regions are frequently affected by low water availability, which hinders the development of horticultural species such as melon (Cucumis melo L.). In this context, techniques that enhance drought tolerance are essential for more effective crop management. This study aimed to evaluate the tolerance and antioxidant activity of different melon cultivars using seed pre-treatment with stress-attenuating agents. The experiment was conducted in two stages, both arranged in a completely randomized design with four replicates of 50 seeds. In the first stage, a 3 × 5 factorial scheme was used, combining three levels of water deficit (0.0,… More >

Ji Hoon Jang, Joo-Young Kim, Tae-Jin Lee^*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.073660 - 21 May 2026

Abstract Molecular glue degraders (MGDs) are an emerging class of small molecules that promote selective protein degradation by inducing neomorphic interactions between E3 ubiquitin ligases and non-native substrates, referred to as neosubstrates. Clinically validated examples include thalidomide analogs that recruit cereblon (CRBN) to degrade IKAROS family zinc finger 1/3 in multiple myeloma, and arylsulfonamide-based MGDs that promote the degradation of RNA-binding protein 39 in acute myeloid leukemia and solid tumors. These molecules highlight the therapeutic potential of this modality in oncology. These findings underscore the promise of MGDs for eliminating oncogenic proteins previously considered undruggable and… More > Graphic Abstract