Tuan Thanh Le¹, Jong-Beom Jeong², SangSoon Lee¹, Jaehyoun Kim², Eun-Seok Ryu^2,*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2627-2643, 2021, DOI:10.32604/cmc.2021.013399

Abstract Recent advances in 360 video streaming technologies have enhanced the immersive experience of video streaming services. Particularly, there is immense potential for the application of 360 video encoding formats to achieve highly immersive virtual reality (VR) systems. However, 360 video streaming requires considerable bandwidth, and its performance depends on several factors. Consequently, the optimization of 360 video bitstreams according to viewport texture is crucial. Therefore, we propose an adaptive solution for VR systems using viewport-dependent tiled 360 video streaming. To increase the degrees of freedom of users, the moving picture experts group (MPEG) recently defined three degrees plus of freedom… More >

Fadhila Mansour^1,2,*, Abdelhak Lakehal^2,3, Lahcène Nezzal^2,3

Oncologie, Vol.22, No.3, pp. 117-128, 2020, DOI:10.32604/oncologie.2020.014979

Abstract The objective of this study was to quantify the delays in access to diagnosis and treatment of women with breast cancer who are managed at the anticancer center of Batna, Algeria. This was a descriptive retrospective study conducted during the period August 2015 to February 2016. In order to trace the history of the journey from the first signs of cancer to the first treatments, a questionnaire was filled in from the medical files and completed by an interview with the patients. A total of 267 patients were included in the study. The median time to management was 4.5 months.… More >

Peng Tang^∗, Yu Wang, Ning Shen

Computer Systems Science and Engineering, Vol.35, No.4, pp. 237-246, 2020, DOI:10.32604/csse.2020.35.237

Abstract In today’s modern society, the physical fitness of college students is gradually declining. In this paper, a prediction model for college students’ physical fitness is established, in which support vector regression (SVR) and k-means clustering are combined together for the prediction of college students’ fitness. Firstly, the physical measurement data of college students are classified according to gender and class characteristics. Then, the k-means clustering method is used to classify the physical measurement data of college students. Next, the physical characteristics of college students are extracted by SVR to establish the prediction model of physical indicators, and the model for… More >

Soo-Kyun Kim¹, Chang-Hee Lee², Sun-Jeong Kim², Chang-Geun Song², Jung Lee^2,*

Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 99-105, 2020, DOI:10.31209/2019.100000131

Abstract Recently, the development of HMDs such as Oculus Rift, HTC Vive, and PSVR has led to an increase in the interest of people in virtual reality (VR), and many related studies have been published. This leads to an additional cost increase in configuring the VR system. Also, space problems are caused. When the treadmill is installed, additional space is required, which may adversely affect the popularization of VR. In this paper, we propose a local area VR environment that solves cost and space problems using human tracking using several Kinect and solves the hygiene problems using smartphone-based mobile HMD. More >

Jinhui Ge¹, Xiaoliang Liu^{2, *}, Guo Liang³

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1945-1958, 2020, DOI:10.32604/cmc.2020.010977

Abstract With the expansion of the application scope of social computing problems, many path problems in real life have evolved from pure path optimization problems to social computing problems that take into account various social attributes, cultures, and the emotional needs of customers. The actual soft time window vehicle routing problem, speeding up the response of customer needs, improving distribution efficiency, and reducing operating costs is the focus of current social computing problems. Therefore, designing fast and effective algorithms to solve this problem has certain theoretical and practical significance. In this paper, considering the time delay problem of customer demand, the… More >

Vanessa Marie Hormaza¹, Mark Conaway², Daniel Scott Schneider¹, Jeffrey Eric Vergales¹

Congenital Heart Disease, Vol.14, No.2, pp. 274-279, 2019, DOI:10.1111/chd.12722

Abstract Objective: Limited information is known on how right ventricular function affects outcomes after stage 2 palliation. We evaluated the impact of different right ventricular indices prior to stage 2 palliation on morbidity and mortality.
Design: Retrospective study design.
Setting: Pediatric Heart Network Single Ventricle Reconstruction Trial Public Data Set.
Patient: Any variant of stage 1 palliation and all anatomic hypoplastic left heart syndrome variants in the trial were evaluated. Echocardiograms prior to stage 2 palliation were analyzed and compared between those who failed and those who survived.
Intervention: None.
Outcome measures: Mortality was defined as death, listed for transplant, or… More >

Ram P. Ghosh¹, Matteo Bianchi¹, Gil Marom², Oren M. Rotman¹, Brandon Kovarovic¹, Danny Bluestein^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 12-14, 2019, DOI:10.32604/mcb.2019.07379

Abstract This article has no abstract. More >

Marcelo HERNANDO¹, Christian HOUGHTON¹, Leda GIANNUZZI², Bernd KROCK³, Darío ANDRINOLO², Gabriela MALANGA^4,*

BIOCELL, Vol.40, No.1, pp. 23-26, 2016, DOI:10.32604/biocell.2016.40.023

Abstract Cyanobacteria are phototrophic organisms with great ecological and economical importance. Species of the genus Microcystis are known for their potential ability to synthesize toxins, notably microcystins. There is a growing interest in the evaluation of oxidative stress in relation to the impact of global climate change on natural ecosystems in different trophic levels. Several studies have focused on the analysis of organismal responses to mitigate the damage by controlling the generation of reactive oxygen species. Variations in environmental factors caused by climate change generate a situation of oxidative damage in Microcystis aeruginosa as a direct or indirect consequence. In this… More >

A.H. Bhrawy^1,2, E.H. Doha³, S.S. Ezz-Eldien⁴, M.A. Abdelkawy²

CMES-Computer Modeling in Engineering & Sciences, Vol.104, No.3, pp. 185-209, 2015, DOI:10.3970/cmes.2015.104.185

Abstract In this paper, a high accurate numerical approach is investigated for solving the time-fractional linear and nonlinear Korteweg-de Vries (KdV) equations. These equations are the most appropriate and desirable definition for physical modeling. The spectral collocation method and the operational matrix of fractional derivatives are used together with the help of the Gauss-quadrature formula in order to reduce such problem into a problem consists of solving a system of algebraic equations which greatly simplifying the problem. Our approach is based on the shifted Jacobi polynomials and the fractional derivative is described in the sense of Caputo. In addition, the presented… More >

Chein-Shan Liu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.40, No.1, pp. 1-28, 2009, DOI:10.3970/cmes.2009.040.001

Abstract We consider an inverse problem of Laplace equation by recoverning boundary value on the inner circle of a two-dimensional annulus from the overdetermined data on the outer circle. The numerical results can be used to determine the Robin coefficient or crack's position inside a disk from the measurements of Cauchy data on the outer boundary. The Fourier series is used to formulate the first kind Fredholm integral equation for the unknown data f(θ) on the inner circle. Then we consider a Lavrentiev regularization, by adding an extra term αf(θ) to obtain the second kind Fredholm integral equation. The termwise separable… More >