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  • Open Access

    ARTICLE

    Prospect Theory Based Individual Irrationality Modelling and Behavior Inducement in Pandemic Control

    Wenxiang Dong, H. Vicky Zhao*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 139-170, 2024, DOI:10.32604/cmes.2024.047156 - 16 April 2024

    Abstract Understanding and modeling individuals’ behaviors during epidemics is crucial for effective epidemic control. However, existing research ignores the impact of users’ irrationality on decision-making in the epidemic. Meanwhile, existing disease control methods often assume users’ full compliance with measures like mandatory isolation, which does not align with the actual situation. To address these issues, this paper proposes a prospect theory-based framework to model users’ decision-making process in epidemics and analyzes how irrationality affects individuals’ behaviors and epidemic dynamics. According to the analysis results, irrationality tends to prompt conservative behaviors when the infection risk is low More >

  • Open Access

    REVIEW

    Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management

    Pengjun Li1, Qixin Zhao1, Yingmin Liu1, Chao Zhong1, Jinlong Wang1,*, Zhihan Lyu2

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3825-3865, 2024, DOI:10.32604/cmc.2024.046851 - 26 March 2024

    Abstract Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order. Amidst the challenges posed by intricate and unpredictable risk factors, knowledge graph technology is effectively driving risk management, leveraging its ability to associate and infer knowledge from diverse sources. This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios. Firstly, employing bibliometric methods, the aim is to uncover the developmental trends and current research hotspots within the… More >

  • Open Access

    REVIEW

    MicroRNAs modulation in lung cancer: exploring dual mechanisms and clinical prospects

    SHAHID HUSSAIN1,*, HABIB BOKHARI1, XINGXING FAN2, SHAUKAT IQBAL MALIK3, SUNDAS IJAZ1, MUHAMMAD ADNAN SHEREEN4, AIMAN FATIMA3

    BIOCELL, Vol.48, No.3, pp. 403-413, 2024, DOI:10.32604/biocell.2024.044801 - 15 March 2024

    Abstract The global incidence of lung cancer is marked by a considerably elevated mortality rate. MicroRNAs (miRNAs) exert pivotal influence in the intricate orchestration of gene regulation, and their dysregulation can precipitate dire consequences, notably cancer. Within this context, miRNAs encapsulated in exosomes manifest a diversified impact on the landscape of lung cancer, wherein their actions may either foster angiogenesis, cell proliferation, and metastasis, or counteract these processes. This comprehensive review article discerns potential targets for the prospective development of therapeutic agents tailored for lung cancer. Tumor-suppressive miRNAs, such as miR-204, miR-192, miR-30a, miR-34a, miR-34b, miR-203,… More >

  • Open Access

    ARTICLE

    Clinical and postoperative characteristics of stentless ureteroscopy patients: a prospective analysis from ReSKU

    Fadl Hamouche, Rei Unno, Nizar Hakam, Leslie Bernal Charondo, Heiko Yang, Justin Ahn, David B. Bayne, Marshall L. Stoller, Thomas Chi

    Canadian Journal of Urology, Vol.30, No.3, pp. 11532-11537, 2023

    Abstract Introduction: To evaluate the clinical characteristics as well as the postoperative course of urolithiasis patients undergoing a ureteroscopy (URS) without stent placement.
    Materials and methods: This was a prospective case cohort study utilizing data collected in the Registry for Stones of the Kidney and Ureter (ReSKU) from a single institution between October 2015 and December 2020. We identified all consecutive patients undergoing URS for stone disease and analyzed data encompassing demographics, medical history, intra and postoperative characteristics, including complications and postoperative symptoms. Univariate and multivariate logistic regression analyses were performed based on the presence or absence of… More >

  • Open Access

    ARTICLE

    Optical Neural Networks: Analysis and Prospects for 5G Applications

    Doaa Sami Khafaga1, Zongming Lv2, Imran Khan3,4, Shebnam M. Sefat5, Amel Ali Alhussan1,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3723-3740, 2023, DOI:10.32604/cmc.2023.039956 - 26 December 2023

    Abstract With the capacities of self-learning, acquainted capacities, high-speed looking for ideal arrangements, solid nonlinear fitting, and mapping self-assertively complex nonlinear relations, neural systems have made incredible advances and accomplished broad application over the final half-century. As one of the foremost conspicuous methods for fake insights, neural systems are growing toward high computational speed and moo control utilization. Due to the inborn impediments of electronic gadgets, it may be troublesome for electronic-implemented neural systems to make the strides these two exhibitions encourage. Optical neural systems can combine optoelectronic procedures and neural organization models to provide ways… More >

  • Open Access

    ARTICLE

    Research progress and prospects of nucleic acid isothermal amplification technology

    SHUHUI WU1,2,#, PING XU3,#, XIANGBIN XU2, SONG-BAI LIU1,2,*

    BIOCELL, Vol.47, No.11, pp. 2385-2395, 2023, DOI:10.32604/biocell.2023.029687 - 27 November 2023

    Abstract Nucleic acid (DNA and RNA) detection and quantification methods play vital roles in molecular biology. With the development of molecular biology, isothermal amplification of DNA/RNA, as a new molecular biology technology, can be amplified under isothermal condition, it has the advantages of high sensitivity, high specificity, and high efficiency, and has been applied in various fields of biotechnology, including disease diagnosis, pathogen detection, food hygiene and safety detection and so on. This paper introduces the progress of isothermal amplification technology, including rolling circle amplification (RCA), nucleic acid sequence-dependent amplification (NASBA), strand displacement amplification (SDA), loop-mediated More >

  • Open Access

    REVIEW

    Cancer-associated fibroblasts of colorectal cancer: Translational prospects in liquid biopsy and targeted therapy

    ELYN AMIELA SALLEH1, YEONG YEH LEE2, ANDEE DZULKARNAEN ZAKARIA3, NUR ASYILLA CHE JALIL4, MARAHAINI MUSA1,*

    BIOCELL, Vol.47, No.10, pp. 2233-2244, 2023, DOI:10.32604/biocell.2023.030541 - 08 November 2023

    Abstract Colorectal cancer (CRC) is a major global health concern. Accumulation of cancer-associated fibroblasts (CAFs) in CRC is associated with poor prognosis and disease recurrence. CAFs are the main cellular component of the tumor microenvironment. CAF-tumor cell interplay, which is facilitated by various secretomes, drives colorectal carcinogenesis. The complexity of CAF populations contributes to the heterogeneity of CRC and influences patient survival and treatment response. Due to their significant roles in colorectal carcinogenesis, different clinical applications utilizing or targeting CAFs have been suggested. Circulating CAFs (cCAFs) which can be detected in blood samples, have been proposed… More > Graphic Abstract

    Cancer-associated fibroblasts of colorectal cancer: Translational prospects in liquid biopsy and targeted therapy

  • Open Access

    ARTICLE

    Multi-Criteria Decision-Making for Power Grid Construction Project Investment Ranking Based on the Prospect Theory Improved by Rewarding Good and Punishing Bad Linear Transformation

    Shun Ma1, Na Yu1, Xiuna Wang2, Shiyan Mei1, Mingrui Zhao2,*, Xiaoyu Han2

    Energy Engineering, Vol.120, No.10, pp. 2369-2392, 2023, DOI:10.32604/ee.2023.028727 - 28 September 2023

    Abstract Using the improved prospect theory with the linear transformations of rewarding good and punishing bad (RGPBIT), a new investment ranking model for power grid construction projects (PGCPs) is proposed. Given the uncertainty of each index value under the market environment, fuzzy numbers are used to describe qualitative indicators and interval numbers are used to describe quantitative ones. Taking into account decision-maker’s subjective risk attitudes, a multi-criteria decision-making (MCDM) method based on improved prospect theory is proposed. First, the [−1, 1] RGPBIT operator is proposed to normalize the original data, to obtain the best and worst More >

  • Open Access

    REVIEW

    Cellulose-Based Films for Food Packaging Applications: Review of Preparation, Properties, and Prospects

    Xiaoyan Liu1,2, Zhao Qin1,2,*, Yuxiang Ma1,2, Huamin Liu1,2,*, Xuede Wang1,2

    Journal of Renewable Materials, Vol.11, No.8, pp. 3203-3225, 2023, DOI:10.32604/jrm.2023.027613 - 26 June 2023

    Abstract Packaging is a food preservation technology widely used in the world. Naturally-sourced, biodegradable polymers are becoming increasingly popular in the food packaging sector. Packaging films prepared using cellulose as raw material would contribute to resource sustainability, but the difficulty of cellulose solubilization limits their further development. In view of this, a series of novel solvent systems (LiCl/DMAc, ILs, TBAH/DMSO, NMMO, alkali/urea solutions, metal-complex solutions) were used to prepare high-strength and high-performance cellulose-based films; their characteristics and the mechanisms involved were investigated. Composite films prepared by blending cellulose with various polymers (synthetic polymers, natural polymers, proteins More > Graphic Abstract

    Cellulose-Based Films for Food Packaging Applications: Review of Preparation, Properties, and Prospects

  • Open Access

    REVIEW

    A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

    Yanjun Yan, Kai Chen*, Hang Geng, Wenqian Fan, Xinrui Zhou

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1345-1379, 2023, DOI:10.32604/cmes.2023.027252 - 26 June 2023

    Abstract With increasing global concerns about clean energy in smart grids, the detection of power quality disturbances (PQDs) caused by energy instability is becoming more and more prominent. It is well acknowledged that the PQD effects on power grid equipment are destructive and hazardous, which causes irreversible damage to underlying electrical/electronic equipment of the concerned intelligent grids. In order to ensure safe and reliable equipment implementation, appropriate PQD detection technologies must be adopted to avoid such adverse effects. This paper summarizes the newly proposed and traditional PQD detection techniques in order to give a quick start More > Graphic Abstract

    A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

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