Sidiki Traoré^1,2,*

Revue Internationale de Géomatique, Vol.33, pp. 167-182, 2024, DOI:10.32604/rig.2024.052696

Abstract Au Mali, l’accès à la santé est une préoccupation majeure. Il est devenu une priorité nationale depuis la déclaration d’Alma-Ata en 1978. Dès lors, des efforts importants ont été consentis par l’État et ses partenaires pour atteindre cet objectif. Ces efforts semblent insuffisants dans le district sanitaire de Bougouni, car, plus de la moitié de la population reste très loin des services de santé de base. Face à ce constat, évaluer l’accessibilité géographique aux soins de santé est essentiel pour identifier les localités qui ont été laissées pour compte, d’’où l’objet de cette recherche dans… More >

Xiuyang Meng^1,2, Chunling Wang^1,2,*, Jingran Yang^1,2, Mairui Li^1,2, Yue Zhang^1,2, Luo Wang^1,2

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4259-4281, 2024, DOI:10.32604/cmc.2024.050325

Abstract Suicide has become a critical concern, necessitating the development of effective preventative strategies. Social media platforms offer a valuable resource for identifying signs of suicidal ideation. Despite progress in detecting suicidal ideation on social media, accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant challenge. To tackle this, we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships (TCNN-SN). This model enhances predictive performance by leveraging social network relationship features More >

Jing Gao^*, Mingxuan Ji, Hongjiang Wang, Zhongxiao Du

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5017-5030, 2024, DOI:10.32604/cmc.2024.050158

Abstract With the continuous advancement of China’s “peak carbon dioxide emissions and Carbon Neutrality” process, the proportion of wind power is increasing. In the current research, aiming at the problem that the forecasting model is outdated due to the continuous updating of wind power data, a short-term wind power forecasting algorithm based on Incremental Learning-Bagging Deep Hybrid Kernel Extreme Learning Machine (IL-Bagging-DHKELM) error affinity propagation cluster analysis is proposed. The algorithm effectively combines deep hybrid kernel extreme learning machine (DHKELM) with incremental learning (IL). Firstly, an initial wind power prediction model is trained using the Bagging-DHKELM… More >

Monerah Alawadh^*, Ahmed Barnawi

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4995-5015, 2024, DOI:10.32604/cmc.2024.048762

Abstract Association rule learning (ARL) is a widely used technique for discovering relationships within datasets. However, it often generates excessive irrelevant or ambiguous rules. Therefore, post-processing is crucial not only for removing irrelevant or redundant rules but also for uncovering hidden associations that impact other factors. Recently, several post-processing methods have been proposed, each with its own strengths and weaknesses. In this paper, we propose THAPE (Tunable Hybrid Associative Predictive Engine), which combines descriptive and predictive techniques. By leveraging both techniques, our aim is to enhance the quality of analyzing generated rules. This includes removing irrelevant… More >

Mingyuan Li^1,*, Yuanli Gu¹, Qingqiao Geng², Hongru Yu¹

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3877-3896, 2024, DOI:10.32604/cmc.2024.047765

Abstract This study proposes a prediction model considering external weather and holiday factors to address the issue of accurately predicting urban taxi travel demand caused by complex data and numerous influencing factors. The model integrates the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Convolutional Long Short Term Memory Neural Network (ConvLSTM) to predict short-term taxi travel demand. The CEEMDAN decomposition method effectively decomposes time series data into a set of modal components, capturing sequence characteristics at different time scales and frequencies. Based on the sample entropy value of components, secondary processing of more… More >

Xin Shen¹, Jiahao Li¹, Yujun Yin¹, Jianlin Tang^2,3,*, Weibin Lin^2,3, Mi Zhou^2,3

Energy Engineering, Vol.121, No.7, pp. 1945-1961, 2024, DOI:10.32604/ee.2024.048388

Abstract Advanced carbon emission factors of a power grid can provide users with effective carbon reduction advice, which is of immense importance in mobilizing the entire society to reduce carbon emissions. The method of calculating node carbon emission factors based on the carbon emissions flow theory requires real-time parameters of a power grid. Therefore, it cannot provide carbon factor information beforehand. To address this issue, a prediction model based on the graph attention network is proposed. The model uses a graph structure that is suitable for the topology of the power grid and designs a supervised More >

Xiaohui Wang^1,2,3,*, Kai Zhang¹, Xiaobang Bai⁴, Senchun Miao¹, Zanxiu Wu¹, Jicheng Li¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.5, pp. 1123-1146, 2024, DOI:10.32604/fdmp.2023.043272

Abstract This study focuses on a DN50 pipeline-type Savonius hydraulic turbine. The torque variation of the turbine in a rotation cycle is analyzed theoretically in the framework of the plane potential flow theory. Related numerical simulations show that the change in turbine torque is consistent with the theoretical analysis, with the main power zone and the secondary power zone exhibiting a positive torque. In contrast, the primary resistance zone and the secondary resistance zone are characterized by a negative torque. Analytical relationships between the turbine’s internal flow angle θ, the deflector’s inclination angle α, and the… More >

Yijie Ye¹, Han Wang², Liujiang Ye¹, Hao Gao^1,*

International Journal of Mental Health Promotion, Vol.26, No.5, pp. 361-376, 2024, DOI:10.32604/ijmhp.2024.049606

Abstract Sleep quality is closely linked to people’s health, and during the COVID-19 pandemic, the sleep patterns of residents in China were notably poor. The lockdown in China led to an increase in social media use, prompting questions about its impact on sleep. Therefore, this study investigates the association between social media use and sleep quality among Chinese residents during the COVID-19 outbreak, highlighting the potential mediating role of social media addiction. Data were collected via questionnaires through a cross-sectional survey with 779 valid responses. Variance analysis was used to test for differences in social media… More >

Baohong Yang^*1, Aiying Qin^†1, Kongyuan Zhang^‡, Haipeng Ren^*, Shuzhen Liu^*, Xiaolei Liu^§, Xiangpo Pan^¶, Guohua Yu^*

Oncology Research, Vol.25, No.9, pp. 1601-1606, 2017, DOI:10.3727/096504017X14928634401178

Abstract Epithelial growth factor receptor (EGFR) mutations are present in 10%–26% of non-small cell lung cancer (NSCLC) tumors and are associated with the response to tyrosine kinase inhibitors (TKIs). This study aimed to detect and quantify the presence of circulating tumor cells (CTCs) in EGFR-mutant NSCLC patients and investigate their possible role in providing prognostic information. Enrolled patients received erlotinib (150 mg) or gefitinib (250 mg) orally once daily as the first-line treatment. Serial blood samples were taken at baseline (CTC-d0) and on day 28 (CTC-d28) following the initiation of erlotinib/gefitinib for detection of CTCs using… More >

Susan Azizmohammadi^*, Sima Azizmohammadi^*, Aghdas Safari^†, Maria Kaghazian^‡, Mina Sadrkhanlo^§, Vahid Behnod^¶, Mehri Seifoleslami^#

Oncology Research, Vol.25, No.4, pp. 495-501, 2017, DOI:10.3727/096504016X14749735594687

Abstract The investigation of specific genes will establish more useful biomarkers for accurate detection and management of gynecological cancers, especially patients with cervical cancer (CCP). The aim of this study was to evaluate the expression level of RIPK4 and EZH2 messenger RNA (RIPK4 and EZH2 mRNA) in CCP. Expression of RIPK4 and EZH2 in the tissues was determined by immunohistochemistry and qRT-PCR methods. Correlations of RIPK4 and EZH2 mRNA with clinical and pathological parameters were analyzed using the Fisher’s exact test. The mRNA level of RIPK4 was significantly upregulated in tumor tissues compared with matched adjacent… More >