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  • Open Access

    ARTICLE

    Hope and Academic Procrastination in Adolescents: A Moderated Mediation Model

    Shoushi Wang1, Jingping Shi2, Ruike Sheng1, Si Yu1, Wei Xu1,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 933-944, 2022, DOI:10.32604/ijmhp.2022.023083

    Abstract Academic procrastination among adolescents is an increasingly prominent problem. It is important to look for influences behind academic procrastination in the adolescent population. The present study aimed to reveal the explanatory mechanisms underlying the association between hope and academic procrastination behaviors among Chinese adolescents by testing the mediating role of attentional control and the moderating role of trait mindfulness. Participants in the current study were 1156 Chinese adolescents who completed self-report questionnaires on hope, attentional control, academic procrastination, and trait mindfulness. The results indicated that adolescent hope was negatively related to academic procrastination and that attentional control partially mediated this… More >

  • Open Access

    ARTICLE

    Multiway Relay Based Framework for Network Coding in Multi-Hop WSNs

    Vinod Kumar Menaria1, Anand Nayyar2, Sandeep Kumar3, Ketan Kotecha4,*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1199-1216, 2023, DOI:10.32604/cmc.2023.032162

    Abstract In today’s information technology (IT) world, the multi-hop wireless sensor networks (MHWSNs) are considered the building block for the Internet of Things (IoT) enabled communication systems for controlling everyday tasks of organizations and industry to provide quality of service (QoS) in a stipulated time slot to end-user over the Internet. Smart city (SC) is an example of one such application which can automate a group of civil services like automatic control of traffic lights, weather prediction, surveillance, etc., in our daily life. These IoT-based networks with multi-hop communication and multiple sink nodes provide efficient communication in terms of performance parameters… More >

  • Open Access

    ARTICLE

    Metaheuristics-based Clustering with Routing Technique for Lifetime Maximization in Vehicular Networks

    P. Muthukrishnan*, P. Muthu Kannan

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1107-1122, 2023, DOI:10.32604/cmc.2023.031962

    Abstract Recently, vehicular ad hoc networks (VANETs) finds applicability in different domains such as security, rescue operations, intelligent transportation systems (ITS), etc. VANET has unique features like high mobility, limited mobility patterns, adequate topology modifications, and wireless communication. Despite the benefits of VANET, scalability is a challenging issue which could be addressed by the use of cluster-based routing techniques. It enables the vehicles to perform intercluster communication via chosen CHs and optimal routes. The main drawback of VANET network is the network unsteadiness that results in minimum lifetime. In order to avoid reduced network lifetime in VANET, this paper presents an… More >

  • Open Access

    ARTICLE

    Research on Flexible Job Shop Scheduling Optimization Based on Segmented AGV

    Qinhui Liu1, Nengjian Wang1,*, Jiang Li1, Tongtong Ma2, Fapeng Li1, Zhijie Gao1

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2073-2091, 2023, DOI:10.32604/cmes.2022.021433

    Abstract As a typical transportation tool in the intelligent manufacturing system, Automatic Guided Vehicle (AGV) plays an indispensable role in the automatic production process of the workshop. Therefore, integrating AGV resources into production scheduling has become a research hotspot. For the scheduling problem of the flexible job shop adopting segmented AGV, a dual-resource scheduling optimization mathematical model of machine tools and AGVs is established by minimizing the maximum completion time as the objective function, and an improved genetic algorithm is designed to solve the problem in this study. The algorithm designs a two-layer coding method based on process coding and machine… More > Graphic Abstract

    Research on Flexible Job Shop Scheduling Optimization Based on Segmented AGV

  • Open Access

    ARTICLE

    Rapid Analysis of Four Alkaloids in Uncaria rhynchophylla by Core-Shell Column HPLC and Quantitative Analysis of Multi-Components by Single Marker (QAMS)

    Kesheng Lin1,2, Jiawen Zhou1,2, Lijuan Han1,2, Ning Li1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 285-296, 2023, DOI:10.32604/phyton.2022.023219

    Abstract As a traditional herbal medicine, the major alkaloids in Uncaria rhynchophylla have been proven to have blood pressure-lowering and sedative effects. It is essential to develop an effective method for the determination of the major alkaloids in U. rhynchophylla. In this research, a rapid quantitative analysis involving multi-components analysis by a single marker strategy coupled with core-shell column HPLC was adopted to analyse four alkaloids (corynoxeine, isocorynoxeine, isorhynchophylline, rhynchophylline) in U. rhynchophylla. Isorhynchophylline was selected as the internal reference substance, the content of which was determined by the traditional external standard method. Relative correction factors (RCF) between isorhynchophylline and the… More >

  • Open Access

    ARTICLE

    An Improved Hyperplane Assisted Multiobjective Optimization for Distributed Hybrid Flow Shop Scheduling Problem in Glass Manufacturing Systems

    Yadian Geng1, Junqing Li1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 241-266, 2023, DOI:10.32604/cmes.2022.020307

    Abstract To solve the distributed hybrid flow shop scheduling problem (DHFS) in raw glass manufacturing systems, we investigated an improved hyperplane assisted evolutionary algorithm (IhpaEA). Two objectives are simultaneously considered, namely, the maximum completion time and the total energy consumptions. Firstly, each solution is encoded by a three-dimensional vector, i.e., factory assignment, scheduling, and machine assignment. Subsequently, an efficient initialization strategy embeds two heuristics are developed, which can increase the diversity of the population. Then, to improve the global search abilities, a Pareto-based crossover operator is designed to take more advantage of non-dominated solutions. Furthermore, a local search heuristic based on… More >

  • Open Access

    ARTICLE

    Improved Rat Swarm Based Multihop Routing Protocol for Wireless Sensor Networks

    H. Manikandan1,*, D. Narasimhan2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2925-2939, 2023, DOI:10.32604/iasc.2023.029754

    Abstract Wireless sensor networks (WSNs) encompass a massive set of sensor nodes, which are self-configurable, inexpensive, and compact. The sensor nodes undergo random deployment in the target area and transmit data to base station using inbuilt transceiver. For reducing energy consumption and lengthen lifetime of WSN, multihop routing protocols can be designed. This study develops an improved rat swarm optimization based energy aware multi-hop routing (IRSO-EAMHR) protocol for WSN. An important intention of the IRSO-EAMHR method is for determining optimal routes to base station (BS) in the clustered WSN. Primarily, a weighted clustering process is performed to group the nodes into… More >

  • Open Access

    ARTICLE

    Distributed Multi-hop Clustering Approach with Low Energy Consumption in WSN

    R. Nithya1,*, Roobaea Alroobaea2, Ahmed Binmahfoudh3, Zairi Ismael Rizman4

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 903-924, 2023, DOI:10.32604/csse.2023.030749

    Abstract The purpose of sensing the environment and geographical positions, device monitoring, and information gathering are accomplished using Wireless Sensor Network (WSN), which is a non-dependent device consisting of a distinct collection of Sensor Node (SN). Thus, a clustering based on Energy Efficient (EE), one of the most crucial processes performed in WSN with distinct environments, is utilized. In order to efficiently manage energy allocation during sensing and communication, the present research on managing energy efficiency is performed on the basis of distributed algorithm. Multiples of EE methods were incapable of supporting EE routing with MIN-EC in WSN in spite of… More >

  • Open Access

    ARTICLE

    Deep Reinforcement Learning-Based Job Shop Scheduling of Smart Manufacturing

    Eman K. Elsayed1, Asmaa K. Elsayed2,*, Kamal A. Eldahshan3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5103-5120, 2022, DOI:10.32604/cmc.2022.030803

    Abstract Industry 4.0 production environments and smart manufacturing systems integrate both the physical and decision-making aspects of manufacturing operations into autonomous and decentralized systems. One of the key aspects of these systems is a production planning, specifically, Scheduling operations on the machines. To cope with this problem, this paper proposed a Deep Reinforcement Learning with an Actor-Critic algorithm (DRLAC). We model the Job-Shop Scheduling Problem (JSSP) as a Markov Decision Process (MDP), represent the state of a JSSP as simple Graph Isomorphism Networks (GIN) to extract nodes features during scheduling, and derive the policy of optimal scheduling which guides the included… More >

  • Open Access

    ARTICLE

    “Goals Give You Hope”: An Exploration of Goal Setting in Young People Experiencing Mental Health Challenges

    Jamie Penno*, Sarah Hetrick, Grant Christie

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 771-781, 2022, DOI:10.32604/ijmhp.2022.020090

    Abstract The mental health of New Zealand’s adolescents is, by global standards, remarkably poor. Addressing such mental health needs is not only pertinent with regards to the quality of life of our young people, but also the health of our society as a whole, with current unmet youth mental health needs becoming future adult population health deficits. While an array of evidence-based psychotherapies are available as treatment, our knowledge of the mechanism of actions underlying each of these is lacking. We propose that the practice of goal setting as a therapeutic technique may represent not only a common element across these… More >

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