Zongjun Ke¹, Mian Xia^2,*, Weibo Yang³, Bingjie Hou², Hanhui Deng⁴

International Journal of Mental Health Promotion, Vol.26, No.8, pp. 663-670, 2024, DOI:10.32604/ijmhp.2024.049161 - 30 August 2024

Abstract Background: Understanding how to improve mental health literacy is conducive to maintaining and promoting individuals’ mental health and well-being. However, to date, interventions for mental health literacy primarily depend on traditional education and contact interventions, which have limitations with regard to pertinence and individualization. Artificial intelligence (AI) and big data technology have influenced mental health services to be more intellectual and digital, and they also provide greater technical convenience for individualized interventions for promoting mental health literacy. However, there is relatively little research on the effectiveness of individualized online intervention for mental health literacy in… More >

Haijian Yang¹, Mingzhi Zhang^1,*, Na Xiao¹, Yuan Li²

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1543-1568, 2024, DOI:10.32604/phyton.2024.050915 - 30 July 2024

Abstract The micro-sprinkler irrigation mulched (MSM) has been suggested as a novel water-saving approach in controlled environment agriculture. However, the effects of microbial community structure and enzyme activity in the rhizosphere soil on crop growth under MSM remain unclear. This study conducted a randomized experimental design using greenhouse tomatoes to investigate changes in bacterial community structure and enzyme activity in rhizosphere soil under different irrigation frequencies (F) and amounts (I) of MSM. The findings revealed that with the increase of F or I, The total count of soil bacteria in tomatoes first rose and then fell… More >

Jia Guo^1,2,4,6, Jin Wang², Ke Yan³, Qiankun Zuo^1,2,4,*, Ruiheng Li^1,2,4, Zhou He^1,2,4, Dong Wang⁵, Yuji Sato⁶

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1203-1233, 2024, DOI:10.32604/cmc.2024.051336 - 18 July 2024

Abstract Complex optimization problems hold broad significance across numerous fields and applications. However, as the dimensionality of such problems increases, issues like the curse of dimensionality and local optima trapping also arise. To address these challenges, this paper proposes a novel Wild Gibbon Optimization Algorithm (WGOA) based on an analysis of wild gibbon population behavior. WGOA comprises two strategies: community search and community competition. The community search strategy facilitates information exchange between two gibbon families, generating multiple candidate solutions to enhance algorithm diversity. Meanwhile, the community competition strategy reselects leaders for the population after each iteration, More >

Mingguan Zhao^1,4, Lida Liao^2,*, Penglong Liang¹, Meng Li¹, Xinsheng Dong¹, Yang Yang¹, Hongxia Wang¹, Zhenhao Zhang³

Energy Engineering, Vol.121, No.8, pp. 2313-2330, 2024, DOI:10.32604/ee.2024.048261 - 19 July 2024

Abstract The rapid growth of distributed renewable energy penetration is promoting the evolution of the energy system toward decentralization and decentralized and digitized smart grids. This study was based on energy blockchain, and developed a dual-biding mechanism based on the real-time energy surplus and demand in the local smart grid, which is expected to enable reliable, affordable, and clean energy supply in smart communities. In the proposed system, economic benefits could be achieved by replacing fossil-fuel-based electricity with the high penetration of affordable solar PV electricity. The reduction of energy surplus realized by distributed energy production More >

Jin Tao¹, Jiatai Tian¹, Dongmei Li¹, Jinlei Zhu², Qun Ma³, Zhiming Zhang¹, Jungang Chen⁴, Yipeng Liu⁵, Jianqiang Qian^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1129-1141, 2024, DOI:10.32604/phyton.2024.051405 - 27 June 2024

Abstract Human activities and industrialization have significantly increased soil nutrients, such as nitrogen (N) and phosphorus (P), profoundly impacting the composition and structure of plant community, as well as the ecosystem functions, especially in nutrient-limited ecosystems. However, as the key propagule pool of perennial grasslands, how belowground bud bank and its relationship with aboveground vegetation respond to short-term changes in soil nutrients was still unclear. In this study, we conducted a short-term (2021–2022) soil fertilization experiment with N addition (10 g N m yr) and P addition (5 g N m yr) in the meadow steppe… More >

Sowon Lee¹, Boyoung Kim^1,*, Chung Kil Park^2,*

International Journal of Mental Health Promotion, Vol.26, No.4, pp. 251-260, 2024, DOI:10.32604/ijmhp.2024.048803 - 04 May 2024

Abstract This study explored how mental health professionals collaborate with peer supporters with mental disabilities in a community mental health institution. From January 19 to February 23, 2021, three 60 min interviews were conducted with six mental health professionals working at a Korean community center. The results were qualitatively analyzed and divided into four themes and eight categories. The four themes were the perceptions of and challenges in working with peer supporters with mental disabilities, conflict and confusion about working with peer supporters, forming partnerships with peer supporters, and policy support for peer supporters’ job security.… More >

Koren Hyogene Kwag^1,*, Ibrahim Kak¹, Ying Li², Walid Khass¹, Alec McKechnie¹, Oksana Nulman¹, Brande Brown¹, Manoj Chhabra¹

Congenital Heart Disease, Vol.19, No.1, pp. 107-121, 2024, DOI:10.32604/chd.2024.045953 - 20 March 2024

Abstract Objective: Accurate measurement of QT interval, the ventricular action potential from depolarization to repolarization, is important for the early detection of Long QT syndrome. The most effective QT correction (QTc) formula has yet to be determined in the pediatric population, although it has intrinsically greater extremes in heart rate (HR) and is more susceptible to errors in measurement. The authors of this study compare six different QTc methods (Bazett, Fridericia, Framingham, Hodges, Rautaharju, and a computer algorithm utilizing the Bazett formula) for consistency against variations in HR and RR interval. Methods: Descriptive Retrospective Study. We… More >

Fang Xu^1,2,3, Songhao Jiang^1,2, Yi Ma^1,2,3,*, Manzoor Ahmed^1,3,*, Zenggang Xiong^1,2,3, Yuanlin Lyu^1,2

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1095-1113, 2024, DOI:10.32604/cmc.2023.046577 - 30 January 2024

Abstract Effective data communication is a crucial aspect of the Social Internet of Things (SIoT) and continues to be a significant research focus. This paper proposes a data forwarding algorithm based on Multidimensional Social Relations (MSRR) in SIoT to solve this problem. The proposed algorithm separates message forwarding into intra- and cross-community forwarding by analyzing interest traits and social connections among nodes. Three new metrics are defined: the intensity of node social relationships, node activity, and community connectivity. Within the community, messages are sent by determining which node is most similar to the sender by weighing More >

Ming Li^1,*, Rifucairen Fu¹, Tuerhong Yaxiaer¹, Yunping Zheng¹, Abiao Huang², Ronghui Liu², Shunfu Lin²

Energy Engineering, Vol.121, No.2, pp. 405-424, 2024, DOI:10.32604/ee.2023.044509 - 25 January 2024

Abstract From the perspective of a community energy operator, a two-stage optimal scheduling model of a community integrated energy system is proposed by integrating information on controllable loads. The day-ahead scheduling analyzes whether various controllable loads participate in the optimization and investigates the impact of their responses on the operating economy of the community integrated energy system (IES) before and after; the intra-day scheduling proposes a two-stage rolling optimization model based on the day-ahead scheduling scheme, taking into account the fluctuation of wind turbine output and load within a short period of time and according to More >

Shihu Liu, Chunsheng Yang^*, Yingjie Liu

Intelligent Automation & Soft Computing, Vol.38, No.3, pp. 203-223, 2023, DOI:10.32604/iasc.2023.040818 - 27 February 2024

Abstract Many network presentation learning algorithms (NPLA) have originated from the process of the random walk between nodes in recent years. Despite these algorithms can obtain great embedding results, there may be also some limitations. For instance, only the structural information of nodes is considered when these kinds of algorithms are constructed. Aiming at this issue, a label and community information-based network presentation learning algorithm (LC-NPLA) is proposed in this paper. First of all, by using the community information and the label information of nodes, the first-order neighbors of nodes are reconstructed. In the next, the More >