Yao Wang¹, Xiaojiao Li², Panpan Yang^1,*, Zengyan Yu^1,*

International Journal of Mental Health Promotion, Vol.26, No.5, pp. 335-343, 2024, DOI:10.32604/ijmhp.2024.048483 - 30 May 2024

Abstract Social anxiety is a common psychological problem among left-behind children (LBC) and has been a popular issue in recent years. Children with higher levels of social anxiety have more emotional and behavioral problems and are prone to negative life events. Although several studies have explored the differences in social anxiety between LBC and non-left-behind children (N-LBC), the findings have not been consistent. In this study, a systematic review and meta-analysis method was used, with 411 papers retrieved on October 01, 2023, from Pubmed, Embase, Web of Science, and Chinese databases (CNKI, VIP, and Wanfang) (PROSPERO… More >

Li Deng¹, Jiafei Huan¹, Wei Wang¹, Weitao Zhang¹, Liangbin Xie², Lun Dong², Jingrong Guo², Zhongping Li², Yuan Huang^2,*, Yue Xiang²

Energy Engineering, Vol.121, No.6, pp. 1403-1437, 2024, DOI:10.32604/ee.2024.046393 - 21 May 2024

Abstract As a flexible resource, energy storage plays an increasingly significant role in stabilizing and supporting the power system, while providing auxiliary services. Still, the current high demand for energy storage contrasts with the fuzzy lack of market-oriented mechanisms for energy storage, the principle of market-oriented operation has not been embodied, and there is no unified and systematic analytical framework for the business model. However, the dispatch management model of energy storage in actual power system operation is not clear. Still, the specific scheduling process and energy storage strategy on the source-load-network side could be more… More >

Ming Xue, Min Yi^*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1165-1204, 2024, DOI:10.32604/cmes.2024.049367 - 20 May 2024

Abstract Sintering, a well-established technique in powder metallurgy, plays a critical role in the processing of high melting point materials. A comprehensive understanding of structural changes during the sintering process is essential for effective product assessment. The phase-field method stands out for its unique ability to simulate these structural transformations. Despite its widespread application, there is a notable absence of literature reviews focused on its usage in sintering simulations. Therefore, this paper addresses this gap by reviewing the latest advancements in phase-field sintering models, covering approaches based on energy, grand potential, and entropy increase. The characteristics More >

Yifan Liu¹, Shancang Li^1,*, Xinheng Wang², Li Xu³

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1233-1261, 2024, DOI:10.32604/cmes.2024.046473 - 20 May 2024

Abstract The Industrial Internet of Things (IIoT) has brought numerous benefits, such as improved efficiency, smart analytics, and increased automation. However, it also exposes connected devices, users, applications, and data generated to cyber security threats that need to be addressed. This work investigates hybrid cyber threats (HCTs), which are now working on an entirely new level with the increasingly adopted IIoT. This work focuses on emerging methods to model, detect, and defend against hybrid cyber attacks using machine learning (ML) techniques. Specifically, a novel ML-based HCT modelling and analysis framework was proposed, in which regularisation and Random Forest were More >

Nidhika Chauhan¹, Navneet Kaur², Kamaljit Singh Saini², Sahil Verma³, Abdulatif Alabdulatif⁴, Ruba Abu Khurma^5,7, Maribel Garcia-Arenas⁶, Pedro A. Castillo^6,*

Computer Systems Science and Engineering, Vol.48, No.3, pp. 571-608, 2024, DOI:10.32604/csse.2024.042690 - 20 May 2024

Abstract As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance effectively. The purpose of this study is to provide an extensive analysis of task allocation and performance management techniques employed in cloud data centers. The aim is to systematically categorize and organize previous research by identifying the cloud computing methodologies, categories, and gaps. A literature review was conducted, which included the analysis of 463 task allocations and 480 performance management papers. The… More >

Ketut Putu Yasa^1,2,*, Nyoman Satria Sadu Bhaskara², Putu Febry Krisna Pertiwi²

Congenital Heart Disease, Vol.19, No.2, pp. 139-156, 2024, DOI:10.32604/chd.2024.050348 - 16 May 2024

Abstract Objective: Patients with ductal-dependent pulmonary circulation require alternative blood flow to provide and maintain adequate oxygenation. Modified Blalock-Taussig Shunt (MBTS) has been the standard for providing such a result. Currently, less invasive methods such as Arterial Duct (AD) stenting have been performed as alternatives. This study aims to compare the outcome of AD stenting and MBTS. Method: Systematic research was performed in online databases using the PRISMA protocol. The outcomes measured were 30-day mortality, complication, unplanned intervention, oxygen saturation, duration of hospital, and ICU length of stay. Any comparative study provided with full text is… More >

Yuan Ren¹, Yingxian Sun¹, Zhiguang Yang², Yanli Chen^1,*

Congenital Heart Disease, Vol.19, No.2, pp. 157-176, 2024, DOI:10.32604/chd.2024.047930 - 16 May 2024

Abstract Chronic thromboembolic pulmonary hypertension (CTEPH) is a chronic, progressive, debilitating, and life-threatening complication of pulmonary embolism (PE). Recent technological advances have permitted various treatment options for the treatment of CTEPH, including surgery, angioplasty, and medical treatment, depending on the location and characteristics of lesions. Pulmonary endarterectomy (PEA) is the treatment of choice for CTEPH, as it offers excellent long-term outcomes and a high probability of recovery. Moreover, various medical and interventional therapies are currently being developed for patients with inoperable CTEPH. This review mainly summarizes the current treatment approaches of CTEPH, offering more options for More >

Maheesha Dhashantha Silva^*, Qi Liu

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2971-2989, 2024, DOI:10.32604/cmc.2024.051289 - 15 May 2024

Abstract In recent years, Non-Intrusive Load Monitoring (NILM) has become an emerging approach that provides affordable energy management solutions using aggregated load obtained from a single smart meter in the power grid. Furthermore, by integrating Machine Learning (ML), NILM can efficiently use electrical energy and offer less of a burden for the energy monitoring process. However, conducted research works have limitations for real-time implementation due to the practical issues. This paper aims to identify the contribution of ML approaches to developing a reliable Energy Management (EM) solution with NILM. Firstly, phases of the NILM are discussed,… More >

Meenakshi Aggarwal¹, Vikas Khullar¹, Sunita Rani², Thomas André Prola^3,4,5, Shyama Barna Bhattacharjee⁶, Sarowar Morshed Shawon⁷, Nitin Goyal^8,*

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1795-1834, 2024, DOI:10.32604/cmc.2024.049846 - 15 May 2024

Abstract The proliferation of IoT devices requires innovative approaches to gaining insights while preserving privacy and resources amid unprecedented data generation. However, FL development for IoT is still in its infancy and needs to be explored in various areas to understand the key challenges for deployment in real-world scenarios. The paper systematically reviewed the available literature using the PRISMA guiding principle. The study aims to provide a detailed overview of the increasing use of FL in IoT networks, including the architecture and challenges. A systematic review approach is used to collect, categorize and analyze FL-IoT-based articles.… More >

Zohaib Ahmad Khan¹, Yuanqing Xia^1,*, Ahmed Khan², Muhammad Sadiq², Mahmood Alam³, Fuad A. Awwad⁴, Emad A. A. Ismail⁴

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2771-2793, 2024, DOI:10.32604/cmc.2024.046897 - 15 May 2024

Abstract Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significant source of user-generated content. The development of sentiment lexicons that can support languages other than English is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existing sentiment analysis systems focus on English, leaving a significant research gap in other languages due to limited resources and tools. This research aims to address this gap by building a sentiment lexicon for local languages, which is then used with a machine learning algorithm for efficient sentiment analysis.… More >