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 >

Ghulam E Mustafa Abro^1,*, Altaf Mugheri^2,#, Zain Anwar Ali^3,#

Revue Internationale de Géomatique, Vol.34, pp. 301-331, 2025, DOI:10.32604/rig.2025.065595 - 05 June 2025

Abstract Swarm intelligence, derived from the collective behaviour of biological entities, is a novel methodology for overseeing satellite constellations within decentralized control systems. Conventional centralized control systems in satellite constellations encounter constraints in scalability, resilience, and fault tolerance, particularly in extensive constellations. This research examines the use of swarm-based multi-agent systems and distributed algorithms for efficient communication, collision avoidance, and collaborative task execution in satellite constellations. We provide a comprehensive study of current swarm control algorithms, their relevance to satellite systems, and identify areas requiring further research. Principal subjects encompass decentralized decision-making, self-organization, adaptive communication protocols, More >

Jiran Zhu¹, Silin He¹, Chun Chen^2,*, Li Zhou², Hongqing Li¹, Di Zhang¹, Fenglin Hua¹, Tianhao Zhu²

Energy Engineering, Vol.122, No.6, pp. 2465-2483, 2025, DOI:10.32604/ee.2025.065453 - 29 May 2025

Abstract In the islanded operation of distribution networks, due to the mismatch of line impedance at the inverter output, conventional droop control leads to inaccurate power sharing according to capacity, resulting in voltage and frequency fluctuations under minor external disturbances. To address this issue, this paper introduces an enhanced scheme for power sharing and voltage-frequency control. First, to solve the power distribution problem, we propose an adaptive virtual impedance control based on multi-agent consensus, which allows for precise active and reactive power allocation without requiring feeder impedance knowledge. Moreover, a novel consensus-based voltage and frequency control More >

Aamir Farooq¹, Zhengrong Xiang^1,*, Wen-Jer Chang^2,*, Muhammad Shamrooz Aslam³

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3623-3674, 2025, DOI:10.32604/cmc.2025.063665 - 19 May 2025

Abstract Formation control in multi-agent systems has become a critical area of interest due to its wide-ranging applications in robotics, autonomous transportation, and surveillance. While various studies have explored distributed cooperative control, this review focuses on the theoretical foundations and recent developments in formation control strategies. The paper categorizes and analyzes key formation types, including formation maintenance, group or cluster formation, bipartite formations, event-triggered formations, finite-time convergence, and constrained formations. A significant portion of the review addresses formation control under constrained dynamics, presenting both model-based and model-free approaches that consider practical limitations such as actuator bounds,… More >

Ziyang Wang, Yuanzhen Feng^*, Zhengxin Wang, Cong Zheng

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4835-4853, 2025, DOI:10.32604/cmc.2025.063179 - 19 May 2025

Abstract Continuous control protocols are extensively utilized in traditional MASs, in which information needs to be transmitted among agents consecutively, therefore resulting in excessive consumption of limited resources. To decrease the control cost, based on ISC, several LFC problems are investigated for second-order MASs without and with time delay, respectively. Firstly, an intermittent sampled controller is designed, and a sufficient and necessary condition is derived, under which state errors between the leader and all the followers approach zero asymptotically. Considering that time delay is inevitable, a new protocol is proposed to deal with the time-delay situation.… More >

Pamela Lippi¹, Aleš Eichmeier², Sergio Puccioni³, Giovan Battista Mattii¹, Eleonora Cataldo^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1047-1072, 2025, DOI:10.32604/phyton.2025.064272 - 30 April 2025

Abstract The search for environmentally friendly approaches in viticulture is increasing, driven by the need to minimize the ecological footprint of conventional methods while ensuring high grape quality and stable yields. Among the various alternatives explored, essential oils (EOs) have drawn attention due to their natural origin and bioactive properties, including antimicrobial, antifungal, and insect-repellent effects. They are characterized by numerous utilisations, from managing diseases and pests in vineyards to post-harvest applications to preserve and prolong storage duration. This innovative review examines, for the first time, the topic of EOs on viticulture, embracing their multiple uses… More >

Ammar Attar^*

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1225-1237, 2025, DOI:10.32604/phyton.2025.063207 - 30 April 2025

Abstract Artemisia dracunculus L., or tarragon, is a perennial herb from the Asteraceae family that is extensively cultivated for its aromatic leaves, which are valued for its preventative and therapeutic properties in both cookery and traditional medicine. This study aims to investigate the antibacterial, antioxidant, and anti-inflammatory properties of A. dracunculus (tarragon) essential oil (ADEO), with estragole (57.23%) identified as the major compound through gas chromatography-mass spectrometry (GC-MS) analysis. ADEO exhibited varying degrees of antibacterial activity, with Escherichia coli showing higher resistance (inhibition zone (IZ) = 14.7 ± 0.58 mm, minimum inhibitory concentration (MIC) = 2% and minimum bactericidal… More >

Jae Hyeong Kim¹, Yuna Youn¹, Jin-Hyeok Hwang^1,2,*

BIOCELL, Vol.49, No.4, pp. 681-700, 2025, DOI:10.32604/biocell.2025.062144 - 30 April 2025

Abstract Objectives: SLFN11 (Schlafen-11) enhances sensitivity to DNA-damaging agents (DDAs) and DNA damage response (DDR) inhibitors in various cancer types. However, its function in pancreatic cancer (PC) remains largely unknown. This research aims to investigate the expression patterns of SLFN11 and other SLFN family members in PC and their correlation with drug sensitivity. Methods: SLFN11 expression and genetic alterations were analyzed using publicly available datasets (TCGA and GTEx). Functional studies, including cell cycle, apoptosis assays, and proliferation assays, were performed in SLFN11-knockdown and SLFN11-knockout (KO) PC cells. The relationship between SLFN11 expression and drug responsiveness was assessed via the CellMiner… More >

Ahmed Qasem^*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 809-824, 2025, DOI:10.32604/phyton.2025.062683 - 31 March 2025

Abstract Pimpinella anisum, commonly known as anise, is generally used in both folk medicine and the culinary world. In traditional medicine, it is valued for its digestive, respiratory, and antispasmodic properties. This study aims to examine the volatile compounds and antibacterial effect of P. anisum essential oil (PAEO) as well as for the first time its genotoxicity employing both in vitro and computational approaches. Gas chromatography-mass spectrometry (GC-MS) analysis identified anethole as the principal compound, which comprises 92.47% of PAEO. PAEO was tested for its potential antibacterial properties against Bacillus subtilis ATCC 6633, Listeria innocua ATCC 33090, Staphylococcus aureus ATCC 29213, Klebsiella aerogenes… More >

Yiqin Wang¹, Yufeng Wang^1,*, Jianhua Ma², Qun Jin³

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4431-4449, 2025, DOI:10.32604/cmc.2025.059880 - 06 March 2025

Abstract Opportunistic mobile crowdsensing (MCS) non-intrusively exploits human mobility trajectories, and the participants’ smart devices as sensors have become promising paradigms for various urban data acquisition tasks. However, in practice, opportunistic MCS has several challenges from both the perspectives of MCS participants and the data platform. On the one hand, participants face uncertainties in conducting MCS tasks, including their mobility and implicit interactions among participants, and participants’ economic returns given by the MCS data platform are determined by not only their own actions but also other participants’ strategic actions. On the other hand, the platform can… More >