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

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 included participants from a pediatric… More >

DAIXIN ZHAO¹, QINGYU WANG², JIANBO WANG^1,*

BIOCELL, Vol.48, No.2, pp. 271-281, 2024, DOI:10.32604/biocell.2023.029094

Abstract Background: Esophageal cancer (ESCA) is a common digestive tract tumor. As a result, optimization of the early diagnosis of ESCA and identifying the contributing prognostic genes is urgently required. Herein, the prognosis of mitochondrial autophagy-related genes was analyzed in different subtypes of ESCA, and prognostic models were constructed to identify the immune cell infiltration with significant differences between subtypes. Methods: The Cancer Genome Atlas database was searched to download 185 ESCA samples, covering gene expression level data and clinical follow-up data, and 179 samples from the Gene Expression Omnibus database for subsequent validation analysis. The consensus Cluster Plus analysis method… 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

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 random walk strategy is improved… 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

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 the strength of social connections… 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

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 the different response rates of… More >

Jing Liu^1,*, Defeng Shu¹, Zilong Tan¹, Mei Ma¹, Huanhuan Yang¹, Ning Guo^1,2, Shipeng Li¹, Dayong Cui^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 63-79, 2024, DOI:10.32604/phyton.2023.045940

Abstract INDETERMINATE-DOMAIN proteins (IDDs) are a plant-specific transcription factor family characterized by a conserved ID domain with four zinc finger motifs. Previous studies have demonstrated that IDDs coordinate a diversity of physiological processes and functions in plant growth and development, including floral transition, plant architecture, seed and root development, and hormone signaling. In this review, we especially summarized the latest knowledge on the functions and working models of IDD members in Arabidopsis, rice, and maize, particularly focusing on their role in the regulatory network of biotic and abiotic environmental responses, such as gravity, temperature, water, and pathogens. Understanding these mechanisms underlying… More >

Eun Kyoung Han, Hae Kyoung Son^*

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1197-1208, 2023, DOI:10.32604/ijmhp.2023.041560

Abstract Dementia prevalence has soared due to population aging. In Mild Cognitive Impairment (MCI) as a pre-dementia stage, sleep disturbances have raised much interest as a factor in a bidirectional relationship with cognitive decline. Thus, this study developed the Sleep and Cognition Enhancement Multimodal Intervention (SCEMI) based on Lazarus’ multimodal approach and conducted a randomized controlled experiment to investigate the effects of the novel program on sleep and cognition in MCI elderly. The participants were 55 MCI elderly with sleep disturbances at two dementia care centers located in S-city, Gyeonggi-do, South Korea (n = 25 in the experimental group and n… More >

Zhiguo Yong¹, Hongmei Kang¹, Falai Chen^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 739-760, 2024, DOI:10.32604/cmes.2023.027171

Abstract PHT-splines are defined as polynomial splines over hierarchical T-meshes with very efficient local refinement properties. The original PHT-spline basis functions constructed by the truncation mechanism have a decay phenomenon, resulting in numerical instability. The non-decay basis functions are constructed as the B-splines that are defined on the 2 × 2 tensor product meshes associated with basis vertices in Kang et al., but at the cost of losing the partition of unity. In the field of finite element analysis and topology optimization, forming the partition of unity is the default ingredient for constructing basis functions of approximate spaces. In this paper,… More > Graphic Abstract

PENGCHENG ZHANG^1,#,*, XINGLONG ZHANG^2,#, YONGFU ZHU³, YIYI CUI¹, JING XU⁴, WEIPING ZHANG^1,*

Oncology Research, Vol.31, No.6, pp. 937-953, 2023, DOI:10.32604/or.2023.030933

Abstract Polo-like kinase 1 (PLK1) plays a crucial role in cell mitosis and has been associated with necroptosis. However, the role of PLK1 and necroptosis in lung adenocarcinoma (LA) remains unclear. In this study, we analyzed The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression databases to evaluate the prognostic value and mechanistic role of PLK1 in LA. PLK1 was found to be highly expressed in LA and was positively associated with advanced disease staging and poor survival outcomes. Functional enrichment analysis showed that PLK1 was involved in cell mitosis, neurotransmitter transmission, and drug metabolism. Further analysis using single-sample gene set enrichment… More > Graphic Abstract

Ming Dong^#, Yan Wang^#, Shulin Wang, Guoyi Feng, Qian Zhang, Yongzeng Lin, Qinglong Liang, Yongqiang Wang^*, Hong Qi^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2841-2860, 2023, DOI:10.32604/phyton.2023.030465

Abstract Restructuring tilth layers (RTL) is a tillage method that exchanges the 0–20 and 20–40 cm soil layers that can be applied during cotton cultivation to increase cotton yield, eliminate weeds and alleviate severe disease, including Verticillium wilt. However, the mechanism by which RTL inhibits Verticillium wilt is unclear. Therefore, we investigated the distribution of microbial communities after rotary tillage (CK) and RTL treatments to identify the reasons for the reduction of Verticillium wilt in cotton fields subjected to RTL. Illumina high-throughput sequencing was used to sequence the bacterial and fungal genes. The disease incidence and severity of Verticillium wilt decreased… More >