Yaqiong He, Jinlin Fan^*, Huaiguang Wu

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

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 >

DIMITRA P. VAGELI^1,2,*, PANAGIOTIS G. DOUKAS³, KERASIA GOUPOU², ANTONIOS D. BENOS², KYRIAKI ASTARA^2,4, KONSTANTINA ZACHAROULI², SOTIRIS SOTIRIOU⁵, MARIA IOANNOU²

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

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 >

Darakhshan Syed^*, Ghulam Muhammad, Safdar Rizvi

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

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 >

Madiha Hameed^1,3, Aneela Zameer^1,*, Muhammad Asif Zahoor Raja²

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2131-2164, 2024, DOI:10.32604/cmes.2024.050124

Abstract The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially in skin cancer detection. These datasets contain tens of thousands of dermoscopic photographs, each accompanied by gold-standard lesion diagnosis metadata. Annual challenges associated with ISIC datasets have spurred significant advancements, with research papers reporting metrics surpassing those of human experts. Skin cancers are categorized into melanoma and non-melanoma types, with melanoma posing a greater threat due to its rapid potential for metastasis if left untreated. This paper aims to address challenges in skin cancer detection… More >

Qiqi Feng¹, Zhijian Huang², Yanqiu Wang¹, Bin Wang^1,*

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 417-428, 2024, DOI:10.32604/ijmhp.2024.049010

Abstract Mindfulness-based interventions (MBIs) are emerging non-pharmacological treatments for mild traumatic brain injury (mTBI). In this systematic review, the authors aimed to evaluate the potential efficacy of MBIs to provide recommendations for treating patients with mTBI. We searched of the English literature on MBIs for patients with mTBI as of 01 September, 2023, using the PubMed, Web of Science, PsycINFO, and Scopus databases. One author performed data extraction and quality scoring of the included literature according to the proposed protocol, and another conducted the review. The review was not registered. A total of 11 studies met… More >

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

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 >

Jiahao Su^*, Meiqin Cai^*, Wensheng Li^*, Bo Hou^†, Haiyong He^†, Cong Ling^†,Tengchao Huang^†, Huijiao Liu^†, Ying Guo^*

Oncology Research, Vol.24, No.2, pp. 117-128, 2016, DOI:10.3727/096504016X14612603423511

Abstract Glioblastoma (GBM) is the most common primary malignant brain tumor that nearly always results in a bad prognosis. Temozolomide plus radiotherapy (TEM+RAD) is the most common treatment for newly diagnosed GBM. With the development of molecularly targeted drugs, several clinical trials were reported; however, the efficacy of the treatment remains controversial. So we attempted to measure the dose of the molecularly targeted drug that could improve the prognosis of those patients. The appropriate electronic databases (PubMed, MEDLINE, EMBASE, and the Cochrane Library) were searched for relevant studies. A meta-analysis was performed after determining which studies… More >

Xinyang Liu^*1, Zhichao Wang^*1, Zongwei Chen^†1, Longzi Liu^*, Lijie Ma^*, Liangqing Dong^*, Zhao Zhang^*, Shu Zhang^*, Liuxiao Yang^*, Jieyi Shi^*, Jia Fan^*‡, Xiaoying Wang^*, Qiang Gao^*‡

Oncology Research, Vol.26, No.2, pp. 231-239, 2018, DOI:10.3727/096504017X15051752095738

Abstract Hepatocellular carcinoma (HCC) is a worldwide health threat with increasing incidence and a high mortality rate. Most HCC patients are diagnosed at an advanced stage and are unable to undergo potential curative surgery. Transcatheter arterial chemoembolization (TACE) and transcatheter arterial chemotherapy infusion (TACI) are two of the main palliative treatments for advanced HCC patients. The clinical efficacy and safety of TACE and TACI are controversial. For this reason, we conducted a systematic review and meta-analysis to summarize the current evidence. We searched for randomized controlled trials (RCTs) and cohort studies that compared the clinical outcomes… 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

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 >

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

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 >