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  • Open Access

    REVIEW

    A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database

    Nurhadi, Rabiah Abdul Kadir*, Ely Salwana Mat Surin, Mahidur R. Sarker*

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1405-1435, 2024, DOI:10.32604/csse.2024.051851 - 22 November 2024

    Abstract A data lake (DL), abbreviated as DL, denotes a vast reservoir or repository of data. It accumulates substantial volumes of data and employs advanced analytics to correlate data from diverse origins containing various forms of semi-structured, structured, and unstructured information. These systems use a flat architecture and run different types of data analytics. NoSQL databases are nontabular and store data in a different manner than the relational table. NoSQL databases come in various forms, including key-value pairs, documents, wide columns, and graphs, each based on its data model. They offer simpler scalability and generally outperform… More >

  • Open Access

    REVIEW

    Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice—A Systematic Review

    Mujahid Ali*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2161-2194, 2024, DOI:10.32604/cmc.2024.058888 - 18 November 2024

    Abstract Forecasting travel demand requires a grasp of individual decision-making behavior. However, transport mode choice (TMC) is determined by personal and contextual factors that vary from person to person. Numerous characteristics have a substantial impact on travel behavior (TB), which makes it important to take into account while studying transport options. Traditional statistical techniques frequently presume linear correlations, but real-world data rarely follows these presumptions, which may make it harder to grasp the complex interactions. Thorough systematic review was conducted to examine how machine learning (ML) approaches might successfully capture nonlinear correlations that conventional methods may… More >

  • Open Access

    REVIEW

    Fear of Cancer Recurrence in Women with Gynecological Cancer: A Systematic Review

    Şerife Büyükokudan1, Öznur Körükcü2,*

    Psycho-Oncologie, Vol.18, No.3, pp. 147-158, 2024, DOI:10.32604/po.2024.046627 - 12 September 2024

    Abstract Although some types of gynecological cancer have a poor prognosis and high recurrence rate, less is known about the fear of cancer recurrence (FCR) in gynecological cancer patients than in other cancer populations. Psychosocial problems may be experienced more in gender-specific cancers. In order to prevent future health problems related to FCR, it is critical to identify the factors affecting FCR in different subgroups and to develop various interventions. The aim of this study was to review the literature on the factors affecting the FCR in women diagnosed with gynecological cancer and interventions to reduce… More >

  • Open Access

    ARTICLE

    The challenge of molecular selection in liver-limited metastatic colorectal cancer for surgical resection: a systematic review and meta-analysis in the context of current and future approaches

    ROSSANA RONCATO1,2, JERRY POLESEL3, FEDERICA TOSI4,5,*, ELENA PERUZZI1,*, ERIKA BRUGUGNOLI6, CLAUDIA LAURIA PANTANO7, MARIA FURFARO8, FILIPPO DI GIROLAMO9,10, ALESSANDRO NANI11, ARIANNA PANI4, NOEMI MILAN1, ELENA DE MATTIA1, ANDREA SARTORE-BIANCHI4,5, ERIKA CECCHIN1

    Oncology Research, Vol.32, No.9, pp. 1407-1422, 2024, DOI:10.32604/or.2024.049181 - 23 August 2024

    Abstract Objectives: Treatment of metastatic colorectal cancer (mCRC) includes resection of liver metastases (LM), however, no validated biomarker identifies patients most likely to benefit from this procedure. This meta-analysis aimed to assess the impact of the most relevant molecular alterations in cancer-related genes of CRC (i.e., RAS, BRAF, SMAD4, PIK3CA) as prognostic markers of survival and disease recurrence in patients with mCRC surgically treated by LM resection. Methods: A systematic literature review was performed to identify studies reporting data regarding survival and/or recurrence in patients that underwent complete liver resection for CRC LM, stratified according to… More > Graphic Abstract

    The challenge of molecular selection in liver-limited metastatic colorectal cancer for surgical resection: a systematic review and meta-analysis in the context of current and future approaches

  • Open Access

    REVIEW

    Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

    Ebtesam Ahmad Alomari*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 43-85, 2024, DOI:10.32604/cmes.2024.052256 - 20 August 2024

    Abstract As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been a notable growth in research activity. This rapid uptake reflects increasing interest in the field and induces critical inquiries into ChatGPT’s applicability in the NLP domain. This review paper systematically investigates the role of ChatGPT in diverse NLP tasks, including information extraction, Name Entity Recognition (NER), event extraction, relation extraction, Part of Speech (PoS) tagging, text classification, sentiment analysis, emotion recognition and text annotation. The novelty of this work lies in its… More >

  • Open Access

    REVIEW

    A Systematic Review of Computer Vision Techniques for Quality Control in End-of-Line Visual Inspection of Antenna Parts

    Zia Ullah1,2,*, Lin Qi1, E. J. Solteiro Pires2, Arsénio Reis2, Ricardo Rodrigues Nunes2

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2387-2421, 2024, DOI:10.32604/cmc.2024.047572 - 15 August 2024

    Abstract The rapid evolution of wireless communication technologies has underscored the critical role of antennas in ensuring seamless connectivity. Antenna defects, ranging from manufacturing imperfections to environmental wear, pose significant challenges to the reliability and performance of communication systems. This review paper navigates the landscape of antenna defect detection, emphasizing the need for a nuanced understanding of various defect types and the associated challenges in visual detection. This review paper serves as a valuable resource for researchers, engineers, and practitioners engaged in the design and maintenance of communication systems. The insights presented here pave the way… More >

  • Open Access

    REVIEW

    The Effectiveness of Psychotherapy on Posttraumatic Stress Disorder in Soldier: A Systematic Review

    Wencen Lan, Bin Wang*, Gai Li, Jianming Liu

    International Journal of Mental Health Promotion, Vol.26, No.7, pp. 499-516, 2024, DOI:10.32604/ijmhp.2024.052309 - 30 July 2024

    Abstract The objective of this systematic review is to examine the effectiveness of psychotherapy in treating Post-Traumatic Stress Disorder (PTSD) in military personnel. PubMed, Web of Science, The Cochrane Library, EBSCO and CNKI databases were searched from 1 January, 2000 to November 2022 for Randomized Controlled Trials (RCTs) on psychotherapeutic interventions for military PTSD. The physical Therapy Evidence Database (PEDro) scale was used to evaluate the quality of the literature. Two researchers conducted literature screening, data extraction, and risk bias assessment in accordance with inclusion and exclusion criteria. Ultimately, 49 RCTs were included, involving a total… More >

  • Open Access

    REVIEW

    A Systematic Review and Performance Evaluation of Open-Source Tools for Smart Contract Vulnerability Detection

    Yaqiong He, Jinlin Fan*, Huaiguang Wu

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 995-1032, 2024, DOI:10.32604/cmc.2024.052887 - 18 July 2024

    Abstract With the rise of blockchain technology, the security issues of smart contracts have become increasingly critical. Despite the availability of numerous smart contract vulnerability detection tools, many face challenges such as slow updates, usability issues, and limited installation methods. These challenges hinder the adoption and practicality of these tools. This paper examines smart contract vulnerability detection tools from 2016 to 2023, sourced from the Web of Science (WOS) and Google Scholar. By systematically collecting, screening, and synthesizing relevant research, 38 open-source tools that provide installation methods were selected for further investigation. From a developer’s perspective,… More >

  • Open Access

    REVIEW

    Hypoxia-inducible factor 1alpha and vascular endothelial growth factor in Glioblastoma Multiforme: a systematic review going beyond pathologic implications

    DIMITRA P. VAGELI1,2,*, PANAGIOTIS G. DOUKAS3, KERASIA GOUPOU2, ANTONIOS D. BENOS2, KYRIAKI ASTARA2,4, KONSTANTINA ZACHAROULI2, SOTIRIS SOTIRIOU5, MARIA IOANNOU2

    Oncology Research, Vol.32, No.8, pp. 1239-1256, 2024, DOI:10.32604/or.2024.052130 - 17 July 2024

    Abstract Glioblastoma multiforme (GBM) is an aggressive primary brain tumor characterized by extensive heterogeneity and vascular proliferation. Hypoxic conditions in the tissue microenvironment are considered a pivotal player leading tumor progression. Specifically, hypoxia is known to activate inducible factors, such as hypoxia-inducible factor 1alpha (HIF-1α), which in turn can stimulate tumor neo-angiogenesis through activation of various downward mediators, such as the vascular endothelial growth factor (VEGF). Here, we aimed to explore the role of HIF-1α/VEGF immunophenotypes alone and in combination with other prognostic markers or clinical and image analysis data, as potential biomarkers of GBM prognosis… More >

  • Open Access

    REVIEW

    Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms

    Darakhshan Syed*, Ghulam Muhammad, Safdar Rizvi

    Intelligent Automation & Soft Computing, Vol.39, No.3, pp. 437-476, 2024, DOI:10.32604/iasc.2024.050681 - 11 July 2024

    Abstract Cloud Computing has the ability to provide on-demand access to a shared resource pool. It has completely changed the way businesses are managed, implement applications, and provide services. The rise in popularity has led to a significant increase in the user demand for services. However, in cloud environments efficient load balancing is essential to ensure optimal performance and resource utilization. This systematic review targets a detailed description of load balancing techniques including static and dynamic load balancing algorithms. Specifically, metaheuristic-based dynamic load balancing algorithms are identified as the optimal solution in case of increased traffic. More >

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