Jianchu Lin^1,2, Shuang Li³, Hong Qin^3,4, Hongchang Wang³, Ning Cui⁶, Qian Jiang⁷, Haifang Jian^3,*, Gongming Wang^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1621-1651, 2023, DOI:10.32604/cmes.2022.020857

Abstract 3D human pose estimation is a major focus area in the field of computer vision, which plays an important role in practical applications. This article summarizes the framework and research progress related to the estimation of monocular RGB images and videos. An overall perspective of methods integrated with deep learning is introduced. Novel image-based and video-based inputs are proposed as the analysis framework. From this viewpoint, common problems are discussed. The diversity of human postures usually leads to problems such as occlusion and ambiguity, and the lack of training datasets often results in poor generalization ability of the model. Regression… More >

DAWEI ZHU^1,#, LEI ZHANG^1,#, XIAOKAI SHI¹, SHENGLIN GAO¹, CHUANG YUE¹, LIFENG ZHANG¹, YU BAI¹, QIFENG WANG², ATSUSHI OKADA³, TAKAHIRO YASUI³, CHAO WANG^1,4, XINGANG CUI^4,5,*, LI ZUO^1,*

Oncology Research, Vol.29, No.3, pp. 159-174, 2021, DOI:10.32604/or.2022.03458

Abstract Identifying prognostic indicators of clear cell renal cell carcinoma (ccRCC) and elucidating the mechanisms underlying ccRCC progression are crucial for improving ccRCC patient prognosis. This study investigated the clinical significance and biological role of Ring finger protein 43 (RNF43) in ccRCC. Two independent cohorts of patients with ccRCC were employed to determine the prognostic significance of RNF43 by immunohistochemistry and statistical analyses. In vitro and in vivo experiments, RNA-seq, and other techniques were used to determine the biological role of RNF43 in ccRCC and related molecular mechanisms. RNF43 expression was commonly decreased in ccRCC specimens, and low expression of RNF43… More >

Xiaoqing Hu¹, Yan Tang^1,2,*

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 783-793, 2022, DOI:10.32604/ijmhp.2022.018332

Abstract Objective: To explore the associations between physical education attendance and mental health indicators. Methods: Using data from the Global Student Health Survey, the frequency of physical education attendance, suicidality-related indicators, loneliness, bullying, and anxiety were all assessed using a standardized self-reported questionnaire. Multivariable logistic regression was used to estimate the association between physical education attendance and mental health-related indicators. Results: The study included 276,169 participants from 71 countries (47.3% males, aged 11–18 years old). After controlling for sex, age, food insecurity, close friends, physical activity, sedentary time, others’ help, and parents’ understanding, physical education attendance was not signifi- cantly associated… More >

Muhammad Abid Jamil^*, Mohamed K. Nour

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 735-747, 2022, DOI:10.32604/cmc.2022.028386

Abstract Technical debt (TD) happens when project teams carry out technical decisions in favor of a short-term goal(s) in their projects, whether deliberately or unknowingly. TD must be properly managed to guarantee that its negative implications do not outweigh its advantages. A lot of research has been conducted to show that TD has evolved into a common problem with considerable financial burden. Test technical debt is the technical debt aspect of testing (or test debt). Test debt is a relatively new concept that has piqued the curiosity of the software industry in recent years. In this article, we assume that the… More >

Jing Cheng¹, Yang Xie², Jie Zhang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1831-1855, 2022, DOI:10.32604/cmes.2022.020178

Abstract For a city, analyzing its advantages, disadvantages and the level of economic development in a country is important, especially for the cities in China developing at flying speed. The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail. In this paper, based on multiple indicators of economy and industry, the urban hierarchical structure of 285 cities above the prefecture level in China is investigated. The indicators from the economy, industry, infrastructure, medical care, population, education, culture, and employment levels are selected to establish a new indicator system for analyzing urban hierarchical… More >

Chandrakant Dondariya^*, D. K. Sakravdia

Energy Engineering, Vol.119, No.3, pp. 947-963, 2022, DOI:10.32604/ee.2022.019118

Abstract This paper presents a newly developed proximity indicator for voltage stability assessment which can be used to predict critical real system load and voltages at various load buses at critical loading point. The proximity indicator varies almost parabolic with total real load demand and reaches orthogonally to real load axis. This relation has been utilized to predict critical loading point. It has been shown that two operating points are needed for estimating critical point and proper selection of operating points and variation of proximity indicator near collapse point highly affect the accuracy of estimation. Simulation is based on load flow… More >

José Carmen Soto-Correa¹, Abraham Saldaña-Vega¹, Víctor Hugo Cambrón-Sandoval¹, Laura Concostrina-Zubiri², Mariela Gómez-Romero^3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 827-840, 2022, DOI:10.32604/phyton.2022.017929

Abstract Lichens are symbiotic organisms that comprise a fungus and a photosynthetic partner wich are recognized as a good indicator of climate change. However, our understanding of how aridity affects the diversity of saxicolous lichens in drylands is still limited. To evaluate the relationship between saxicolous lichen diversity and aridity in a central México dryland, a geographical transect was established of 100 km to build an aridity gradient in the semiarid zone of the State of Querétaro, Mexico, comprising ten sampling sites with a 10 km separation. Species richness, abundance and diversity of soil lichen species were recorded using two sampling methods: the… More >

M. N. Tarhuni^1,*, W. R. Sulaiman¹, M. Z. Jaafar¹, K. M. Sabil²

Energy Engineering, Vol.119, No.1, pp. 253-273, 2022, DOI:10.32604/EE.2022.017820

Abstract The X field is located in the southwestern part of block NX89 of Kentan Basin in Libya. This field is produced from Hailan multilayer consolidated sandstone with moderate rock property and a relatively low energy supplying. The reserve of subsurface energy sources is declining with years. Therefore, techniques were combined to achieve the energy optimization and increase hydrocarbon recovery. In order to understand the subsurface formation of the reservoir and facilitate oil production, global hydraulic element technique was used to quantify the reservoir rock types. In addition, stratigraphic modified Lorenz plot was used for reservoir layering. Reservoir heterogeneity was identified… More >

Ping Zhang¹, Zhiyou Kong², Junna Liu¹, Yongjiang Liu¹, Qianchao Wang¹, Xiuju Huan¹, Li Li¹, Yunfeng Jiang³, Peng Qin^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 375-394, 2022, DOI:10.32604/phyton.2022.016358

Abstract Drought is the main abiotic stress that restricts wheat production. The rapid development of sequencing technology and its widespread application to various fields have revealed the structural characteristics and regulation of related genes through gene expression analysis. Here, we studied responses of wheat plants under drought and re-watering conditions, using morphological and physiological indicators. Moreover, a transcriptome analysis was conducted on Jingmai 12, a drought-resistant wheat strain, to explore the mechanism underlying the response of drought-resistant wheat seedlings to drought stress at the transcriptome level. Drought stress caused morphological and physiological changes in both drought-resistant and -sensitive varieties, but to… More >

Manish Agrawal¹, Piyush Kumar Shukla², Rajit Nair³, Anand Nayyar^4,5,*, Mehedi Masud⁶

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 287-304, 2022, DOI:10.32604/cmc.2022.014637

Abstract Stock market trends forecast is one of the most current topics and a significant research challenge due to its dynamic and unstable nature. The stock data is usually non-stationary, and attributes are non-correlative to each other. Several traditional Stock Technical Indicators (STIs) may incorrectly predict the stock market trends. To study the stock market characteristics using STIs and make efficient trading decisions, a robust model is built. This paper aims to build up an Evolutionary Deep Learning Model (EDLM) to identify stock trends’ prices by using STIs. The proposed model has implemented the Deep Learning (DL) model to establish the… More >