Seongsoo Cho¹, Yeonwoo Lee^2,*, Cheolhee Yoon^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3769-3793, 2025, DOI:10.32604/cmes.2025.066298 - 30 June 2025

Abstract As vehicular networks grow increasingly complex due to high node mobility and dynamic traffic conditions, efficient clustering mechanisms are vital to ensure stable and scalable communication. Recent studies have emphasized the need for adaptive clustering strategies to improve performance in Intelligent Transportation Systems (ITS). This paper presents the Grasshopper Optimization Algorithm for Vehicular Network Clustering (GOA-VNET) algorithm, an innovative approach to optimal vehicular clustering in Vehicular Ad-Hoc Networks (VANETs), leveraging the Grasshopper Optimization Algorithm (GOA) to address the critical challenges of traffic congestion and communication inefficiencies in Intelligent Transportation Systems (ITS). The proposed GOA-VNET employs an… More >

Saurabh Sanjay Singh^*, Rahul Joshi, Deepak Gupta

Journal on Artificial Intelligence, Vol.7, pp. 177-203, 2025, DOI:10.32604/jai.2025.065078 - 30 June 2025

Abstract This paper addresses the challenge of energy-conscious scheduling in modern manufacturing by formulating and solving the Energy-Conscious Flexible Job Shop Scheduling Problem. In this problem, each job has a fixed sequence of operations to be performed on parallel machines, and each operation can be assigned to any capable machine. The problem statement aims to schedule every job in a way that minimizes the total energy consumption of the job shop. The paper’s primary objective is to develop a reinforcement learning-based scheduling framework using the Advantage Actor-Critic algorithm to generate energy-efficient schedules that are computationally fast… More >

Song Gao, Shixin Liu^*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5623-5641, 2025, DOI:10.32604/cmc.2025.058334 - 19 May 2025

Abstract With the development of economic globalization, distributed manufacturing is becoming more and more prevalent. Recently, integrated scheduling of distributed production and assembly has captured much concern. This research studies a distributed flexible job shop scheduling problem with assembly operations. Firstly, a mixed integer programming model is formulated to minimize the maximum completion time. Secondly, a Q-learning-assisted co-evolutionary algorithm is presented to solve the model: (1) Multiple populations are developed to seek required decisions simultaneously; (2) An encoding and decoding method based on problem features is applied to represent individuals; (3) A hybrid approach of heuristic… More >

Qinghai Ou¹, Min Yang¹, Jingcai Kong¹, Yang Yang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2429-2447, 2025, DOI:10.32604/cmc.2025.062067 - 16 April 2025

Abstract The lack of communication infrastructure in remote regions presents significant obstacles to gathering data from smart power sensors (SPSs) in smart grid networks. In such cases, a space-air-ground integrated network serves as an effective emergency solution. This study addresses the challenge of optimizing the energy efficiency of data transmission from SPSs to low Earth orbit (LEO) satellites through unmanned aerial vehicles (UAVs), considering both effective capacity and fronthaul link capacity constraints. Due to the non-convex nature of the problem, the objective function is reformulated, and a delay-aware energy-efficient power allocation and UAV trajectory design (DEPATD)… More >

Dristy Roy¹, Md. Zakarya Ibne Sayed², Durjay Mondal², Banosree Saha Bandhan³, Md. Maniruzzaman Bahadur¹, Md. Rabiul Islam¹, Ahmed Gaber⁴, Md. Parvez Kabir⁵, Akbar Hossain^5,*, Subrota Kumer Pramanik^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 763-779, 2025, DOI:10.32604/phyton.2025.062717 - 31 March 2025

Abstract The increasing frequency and intensity of drought caused by climate change necessitate the implementation of effective ways to increase the ability of wheat to withstand drought, with humic acid being a promising approach. Therefore, a pot experiment was conducted to determine the efficacy of exogenous humic acid on wheat under water deficit stress via a completely randomized design (CRD) with three replications. The impacts of four growing conditions, i.e., well water (65% field capacity), water deficit stress (35% field capacity), soil application of humic acid (44 mg kg⁻¹ soil) under water deficit stress and foliar feeding… More >

Nathan Isaac Dibal^1,*, Martha Orendu Oche Attah^1,2

BIOCELL, Vol.49, No.3, pp. 419-435, 2025, DOI:10.32604/biocell.2025.060565 - 31 March 2025

Abstract Oxidative stress is characterized by elevated intracellular reactive oxygen species (ROS) levels. At physiological levels, ROS work as signaling molecules, helping cells go through the cell cycle normally and keeping their balance. They also balance several physiological processes. However, a shift in the delicate balance between antioxidants and ROS results in aberrant cell death and deleterious effects. Elevated ROS is implicated in many diseases and disorders like diabetes, autoimmune diseases, infertility, and cardiovascular disorders. The imbalance disrupts normal cellular functions, including cell division. ROS are important regulators of the cell cycle, exerting both favorable and More >

Shengjie Yang^1,2, Zijian Zhu^1,*, Xu Ouyang³

Energy Engineering, Vol.122, No.3, pp. 1073-1092, 2025, DOI:10.32604/ee.2025.060293 - 07 March 2025

Abstract In the context of advancing towards dual carbon goals, numerous factories are actively engaging in energy efficiency upgrades and transformations. To accurately pinpoint energy efficiency bottlenecks within factories and prioritize renovation sequences, it is crucial to conduct comprehensive evaluations of the energy performance across various workshops. Therefore, this paper proposes an evaluation model for workshop energy efficiency based on the drive-state-response (DSR) framework combined with the fuzzy BORDA method. Firstly, an in-depth analysis of the relationships between different energy efficiency indicators was conducted. Based on the DSR model, evaluation criteria were selected from three dimensions—drive… More >

Fengbo Guo^1,2,3,#, Leru Zhong^1,#, Xingru Huang¹, Zewei Chen¹, Xiaoyuan Sun^1,3,*

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 111-124, 2025, DOI:10.32604/ijmhp.2025.058874 - 03 March 2025

Abstract Background: Childhood environmental unpredictability (CEU) is crucial to personal development, profoundly influence physical and psychological growth particularly, and psychopathy is recognized as a dark personality trait. The aim of this study is to investigate the effects of insecure attachment and life history strategy (LHS) on the relationship between CEU and psychopathy by establishing a sequential mediation model based on evolutionary life history theory and cognitive-affective personality system. Methods: A group of 532 undergraduates completed the measurements for CEU, insecure attachment, LHS, and psychopathy, and Bootstrap mediation test through SPSS 25.0 and PROCESS macro tool was… More >

Ramadan Abdul-Rashid¹, Mohd Amiruddin Abd Rahman^1,*, Kar Tim Chan¹, Arun Kumar Sangaiah^2,3,4

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2585-2616, 2025, DOI:10.32604/cmes.2025.060548 - 03 March 2025

Abstract This study proposes a novel time-synchronization protocol inspired by stochastic gradient algorithms. The clock model of each network node in this synchronizer is configured as a generic adaptive filter where different stochastic gradient algorithms can be adopted for adaptive clock frequency adjustments. The study analyzes the pairwise synchronization behavior of the protocol and proves the generalized convergence of the synchronization error and clock frequency. A novel closed-form expression is also derived for a generalized asymptotic error variance steady state. Steady and convergence analyses are then presented for the synchronization, with frequency adaptations done using least More >

Toni Dwi Novianto^1,2, Sri Rahayoe^1,*, Bakti Berlyanto Sedayu^2,*

Journal of Renewable Materials, Vol.13, No.2, pp. 385-400, 2025, DOI:10.32604/jrm.2024.057313 - 20 February 2025

Abstract This study aimed to develop and characterize biodegradable packaging film from blends of two natural polysaccharides, i.e., agar and glucomannan. The glucomannan used was derived from the specific tuber plant Amorphophallus oncophyllus (locally known as “porang”), which grows abundantly in Indonesian forests and remains underutilized. Various ratios of agar and porang-glucomannan (PG) proportions were formulated to produce a food packaging film, which was subsequently tested for its mechanical, physical, chemical, and thermal properties. The results showed that the inclusion of PG to the film formulations notably enhanced the stretchability of agar films, achieving maximum a… More > Graphic Abstract