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  • Open Access

    ARTICLE

    Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

    Emmanuel Lule1,2,*, Chomora Mikeka3, Alexander Ngenzi4, Didacienne Mukanyiligira5

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.037988

    Abstract Local markets in East Africa have been destroyed by raging fires, leading to the loss of life and property in the nearby communities. Electrical circuits, arson, and neglected charcoal stoves are the major causes of these fires. Previous methods, i.e., satellites, are expensive to maintain and cause unnecessary delays. Also, unit-smoke detectors are highly prone to false alerts. In this paper, an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach. A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used… More >

  • Open Access

    ARTICLE

    Person Re-Identification with Model-Contrastive Federated Learning in Edge-Cloud Environment

    Baixuan Tang1,2,#, Xiaolong Xu1,2,#, Fei Dai3, Song Wang4,*

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.036715

    Abstract Person re-identification (ReID) aims to recognize the same person in multiple images from different camera views. Training person ReID models are time-consuming and resource-intensive; thus, cloud computing is an appropriate model training solution. However, the required massive personal data for training contain private information with a significant risk of data leakage in cloud environments, leading to significant communication overheads. This paper proposes a federated person ReID method with model-contrastive learning (MOON) in an edgecloud environment, named FRM. Specifically, based on federated partial averaging, MOON warmup is added to correct the local training of individual edge servers and improve the model’s… More >

  • Open Access

    ARTICLE

    Binary Archimedes Optimization Algorithm for Computing Dominant Metric Dimension Problem

    Basma Mohamed1,*, Linda Mohaisen2, Mohammed Amin1

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.031947

    Abstract In this paper, we consider the NP-hard problem of finding the minimum dominant resolving set of graphs. A vertex set B of a connected graph G resolves G if every vertex of G is uniquely identified by its vector of distances to the vertices in B. A resolving set is dominating if every vertex of G that does not belong to B is a neighbor to some vertices in B. The dominant metric dimension of is the cardinality number of the minimum dominant resolving set. The dominant metric dimension is computed by a binary version of the Archimedes optimization algorithm… More >

  • Open Access

    ARTICLE

    A Novel Method for Determining the Void Fraction in Gas-Liquid Multi-Phase Systems Using a Dynamic Conductivity Probe

    Xiaochu Luo1, Xiaobing Qi2, Zhao Luo3, Zhonghao Li4, Ruiquan Liao1, Xingkai Zhang1,*

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2023.045737

    Abstract Conventional conductivity methods for measuring the void fraction in gas-liquid multiphase systems are typically affected by accuracy problems due to the presence of fluid flow and salinity. This study presents a novel approach for determining the void fraction based on a reciprocating dynamic conductivity probe used to measure the liquid film thickness under forced annular-flow conditions. The measurement system comprises a cyclone, a conductivity probe, a probe reciprocating device, and a data acquisition and processing system. This method ensures that the flow pattern is adjusted to a forced annular flow, thereby minimizing the influence of complex and variable gas-liquid flow… More >

  • Open Access

    ARTICLE

    Development of a cell adhesion-based prognostic model for multiple myeloma: Insights into chemotherapy response and potential reversal of adhesion effects

    QIAN HU, MENGYAO WANG, JINJIN WANG, YALI TAO, TING NIU*

    Oncology Research, Vol., , DOI:10.32604/or.2023.043647

    Abstract Multiple myeloma (MM) is a hematologic malignancy notorious for its high relapse rate and development of drug resistance, in which cell adhesion-mediated drug resistance plays a critical role. This study integrated four RNA sequencing datasets (CoMMpass, GSE136337, GSE9782, and GSE2658) and focused on analyzing 1706 adhesion-related genes. Rigorous univariate Cox regression analysis identified 18 key prognosis-related genes, including KIF14, TROAP, FLNA, MSN, LGALS1, PECAM1, and ALCAM, which demonstrated the strongest associations with poor overall survival (OS) in MM patients. To comprehensively evaluate the impact of cell adhesion on MM prognosis, an adhesion-related risk score (ARRS) model was constructed using Lasso… More >

  • Open Access

    ARTICLE

    Peak Shaving Strategy of Concentrating Solar Power Generation Based on Multi-Time-Scale and Considering Demand Response

    Lei Fang*, Haiying Dong, Xiaofei Zhen, Shuaibing Li

    Energy Engineering, Vol., , DOI:10.32604/ee.2023.029823

    Abstract According to the multi-time-scale characteristics of power generation and demand-side response (DR) resources, as well as the improvement of prediction accuracy along with the approaching operating point, a rolling peak shaving optimization model consisting of three different time scales has been proposed. The proposed peak shaving optimization model considers not only the generation resources of two different response speeds but also the two different DR resources and determines each unit combination, generation power, and demand response strategy on different time scales so as to participate in the peaking of the power system by taking full advantage of the fast response… More >

  • Open Access

    ARTICLE

    Single-Cell RNA Sequencing Reveals Potential for Endothelial-to-Mesenchymal Transition in Tetralogy of Fallot

    Aisa Zulibiya1,2,#, Jing Wen3,#, Huiqing Yu3,#, Xiaoming Chen3, Lei Xu3, Xiao Ma1,2, Baojian Zhang1,2,*

    Congenital Heart Disease, Vol., , DOI:10.32604/chd.2023.047689

    Abstract Background: Tetralogy of Fallot (TOF) is a very common cyanotic congenital heart disease. Endothelial-to-mesenchymal transition (EndoMT) is recognized as a physiological mechanism involved in embryonic heart development and endothelial formation. However, there is still a gap in the reports related to the mechanism of EndoMT development in TOF. Methods: First, transcriptomic data of single cell nuclei of TOF and Donor were obtained based on the Gene Expression Omnibus (GEO) database, and the data were normalized and clustered by dimensionality reduction using the Seurat package. Subsequently, differentially expressed genes (DEGs) between TOF and Donor were screened using the “FindMarkers” function, and… More >

  • Open Access

    ARTICLE

    Immune checkpoint receptors and their ligands on CD8 T cells and myeloma cells in extramedullary multiple myeloma

    XIAN ZHANG1, ZHUANG ZHOU2, JUNZHE WANG1, MENGMENG HAN1, HAN LIU1, MEIRONG ZANG1, JIANNING LIU1, JIAPEI LU1, JINQIAO ZHANG1, GUOCHUAN ZHANG2,*, LIXIA SUN1,#,*

    BIOCELL, Vol., , DOI:10.32604/biocell.2023.046640

    Abstract Background: Prognosis of multiple myeloma (MM) patients with extramedullary disease (EMD) remains poor. T cell dysfunction and an immunosuppressive environment have been reported in the bone marrow (BM) of MM patients. However, the immunosuppressive microenvironment and immune checkpoint receptors (ICRs) on CD8 T cells in the EMD tissue of newly diagnosed MM (NDMM) patients have not been thoroughly studied. Methods: We investigated the expression levels of T cell immunoglobulin mucin-domain-containing-3 (TIM-3) and T-cell immunoglobulin and ITIM domain (TIGIT) on CD8 T cells and the expression of their ligands (Galectin-9 and CD155) on myeloma cells in EMD tissue of NDMM patients.… More > Graphic Abstract

    Immune checkpoint receptors and their ligands on CD8 T cells and myeloma cells in extramedullary multiple myeloma

  • Open Access

    REVIEW

    Farnesol as a multifunctional candidate for treatment development

    ANWAR ALI1,#, SREEKANTH REDDY OBIREDDY2,#, WING-FU LAI3,*

    BIOCELL, Vol., , DOI:10.32604/biocell.2023.043839

    Abstract Farnesol is a C15 isoprenyl alcohol generated from the hydrolysis of farnesyl diphosphate under the action of farnesol synthase in plants. Although this sesquiterpenoid alcohol has been exploited in a wide variety of industrial applications, serious discussions on the possible use of this agent in disease treatment have been scant until now. In this article, we review the current understanding of the physiological properties of farnesol and the potential use of the agent as a candidate for treatment development. In fact, since the turn of the last century, farnesol has been found not only to trigger apoptosis in tumor cells… More >

  • Open Access

    ARTICLE

    Simulation and Analysis of Cascading Faults in Integrated Heat and Electricity Systems Considering Degradation Characteristics

    Hang Cui1, Hongbo Ren1,*, Qiong Wu1,2, Hang Lv1, Qifen Li1,2, Weisheng Zhou3

    Energy Engineering, Vol., , DOI:10.32604/ee.2023.047470

    Abstract Cascading faults have been identified as the primary cause of multiple power outages in recent years. With the emergence of integrated energy systems (IES), the conventional approach to analyzing power grid cascading faults is no longer appropriate. A cascading fault analysis method considering multi-energy coupling characteristics is of vital importance. In this study, an innovative analysis method for cascading faults in integrated heat and electricity systems (IHES) is proposed. It considers the degradation characteristics of transmission and energy supply components in the system to address the impact of component aging on cascading faults. Firstly, degradation models for the current carrying… More >

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