Chia-Nan Wang¹, Chien-Chang Chou^2,*, Hsien-Pin Hsu³, Van Thanh Nguyen⁴, Viet Tinh Nguyen⁴

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 397-412, 2022, DOI:10.32604/cmc.2022.019470

Abstract The two main approaches that countries are using to ease the strain on healthcare infrastructure is building temporary hospitals that are specialized in treating COVID-19 patients and promoting preventive measures. As such, the selection of the optimal location for a temporary hospital and the calculation of the prioritization of preventive measures are two of the most critical decisions during the pandemic, especially in densely populated areas where the risk of transmission of the virus is highest. If the location selection process or the prioritization of measures is poor, healthcare workers and patients can be harmed, and unnecessary costs may come… More >

Muyu Qi^1,#, Xiaoping Lan^2,#, Jia Li¹, Junwen Ge¹, Li Shen^1,*, Rufang Zhang^1,*

Congenital Heart Disease, Vol.16, No.5, pp. 487-498, 2021, DOI:10.32604/CHD.2021.015887

Abstract Objective: Pulmonary atresia (PA) is a rare type of complex cyanotic congenital heart defect characterized primarily by an undeveloped pulmonary valve or pulmonary artery. Therefore, defining a disease-causing gene mutation in a pulmonary atresia family is a possible method of genetic counseling, future prenatal diagnosis, and therapeutic approaches for pulmonary atresia. Methods: Blood samples were collected from six PA family members, and genomic DNA was extracted using the QIAamp DNA Blood Mini Kit. Gene detection was performed using a second-generation sequencing gene panel. Results: Genetic testing results indicated that a heterozygous mutation originating from maternal inheritance was detected in the… More >

Mary Aksa¹, Junaid Rashid^2,*, Muhammad Wasif Nisar¹, Toqeer Mahmood³, Hyuk-Yoon Kwon⁴, Amir Hussain⁵

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3931-3946, 2021, DOI:10.32604/cmc.2021.016081

Abstract Advancements in next-generation sequencer (NGS) platforms have improved NGS sequence data production and reduced the cost involved, which has resulted in the production of a large amount of genome data. The downstream analysis of multiple associated sequences has become a bottleneck for the growing genomic data due to storage and space utilization issues in the domain of bioinformatics. The traditional string-matching algorithms are efficient for small sized data sequences and cannot process large amounts of data for downstream analysis. This study proposes a novel bit-parallelism algorithm called BitmapAligner to overcome the issues faced due to a large number of sequences… More >

J.-Y. Scoazec

Oncologie, Vol.21, No.2, pp. 119-124, 2019, DOI:10.3166/onco-2019-0052

Abstract The WHO classification of the tumors of endocrine organs, published in July 2017 and that of digestive tumors, released in July 2019, have introduced significant changes in the classification of gastro-entero-pancreatic neuroendocrine tumors (NETs), which was unchanged since 2010. The main change is a new category of well-differentiated neoplasms, NET G3, in addition to the two previous categories NET G1 and NET G2. The other changes are: 1) the cut-off in Ki-67 index between NET G1 and G2, now set at 3%, 2) the term used for mixed tumors: MiNEN (mixed neuroendocrine-non neuroendocrine neoplasm) instead of MANEC (mixed adenoneuroendocrine carcinoma).… More >

Junsung Park¹, Go Hun Seo², Yena Lee¹, Yunha Choi¹, Minji Kang³, Hyo-Sang Do³, Young-Hwue Kim⁴, Jeong Jin Yu⁴, Ellen Ai-Rhan Kim⁵, Euiseok Jung⁵, Byong Sop Lee⁵, Jae Suk Baek^4,#,*, Beom Hee Lee^1,6,#,*

Congenital Heart Disease, Vol.16, No.4, pp. 397-410, 2021, DOI:10.32604/CHD.2021.015167

Abstract Background and Method: The genetic cause of infantile-onset cardiomyopathy is rarely investigated. Here, we conducted whole exome sequencing (WES) and mitochondrial DNA (mtDNA) sequencing in eight patients with infantile-onset cardiomyopathy to identify genetic variations. Result: Among these patients, two (25%) had dilated cardiomyopathy (DCMP), two (25%) had left ventricular non-compaction (LVNC), and four (50%) had hypertrophic cardiomyopathy (HCMP). Except four patients identified prenatally, the remaining patients presented at a median age of 85.5 days. WES identified genetic variants in a total of seven (87.5%) patients and mtDNA sequencing in the other case. TPM1 and MYH7 variants were identified in the… More >

Motoharu Fujigaki^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 26-26, 2021, DOI:10.32604/icces.2021.08385

Abstract Several types of accurate and high-speed 3D shape measurement using linear LED devices were developed by author's research group. The linear LED device is a key device to develop them. High-speed phase shift synchronized with camera triggers can be achieved by switching the lighting position of the linear LED. The control signals can be generated easily with a no special micro-computer. A compact projector unit can be produced. Author also proposed a calibration method, named a whole-space tabulation method (WSTM), for an accurate and high-speed shape measurement using multiple reference planes. A handy, fullcolor and real-time 3D shape measurement unit… More >

Rabia Javed^1,2, Mohd Shafry Mohd Rahim¹, Tanzila Saba³, Suliman Mohamed Fati³, Amjad Rehman^3,*, Usman Tariq⁴

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2337-2352, 2021, DOI:10.32604/cmc.2021.014677

Abstract Most of the melanoma cases of skin cancer are the life-threatening form of cancer. It is prevalent among the Caucasian group of people due to their light skin tone. Melanoma is the second most common cancer that hits the age group of 15–29 years. The high number of cases has increased the importance of automated systems for diagnosing. The diagnosis should be fast and accurate for the early treatment of melanoma. It should remove the need for biopsies and provide stable diagnostic results. Automation requires large quantities of images. Skin lesion datasets contain various kinds of dermoscopic images for the… More >

Shiyan Xu¹, Jun Chen^2,*, Maoguo Wu², Chenyang Zhao²

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 843-854, 2021, DOI:10.32604/cmes.2021.014265

Abstract With in-depth development of the Internet of Things (IoT) in various industries, the informatization process of various industries has also entered the fast lane. This article aims to solve the supply chain process problem in e-commerce, focusing on the specific application of Internet of Things technology in e-commerce. Warehousing logistics is an important link in today’s e-commerce transactions. This article proposes a distributed analysis method for RFID-based e-commerce warehousing process optimization and an e-commerce supply chain management process based on Internet of Things technology. This article first introduces the advantages and disadvantages of shared IoT identification technology and the IoT… More >

Hongming Yang^1,*, Qian Yu¹, Xiao Huang¹, Ben Niu², Min Qi³

Energy Engineering, Vol.118, No.2, pp. 285-301, 2021, DOI:10.32604/EE.2021.013734

Abstract The two-way interaction between smart grid and customers will continuously play an important role in enhancing the overall efficiency of the green and low-carbon electric power industry and properly accommodating intermittent renewable energy resources. Thus far, the existing electricity pricing mechanisms hardly match the technical properties of smart grid; neither can they facilitate increasing end users participating in the electricity market. In this paper, several relevant models and novel methods are proposed for pricing scheme design as well as to achieve optimal decision-makings for market participants, in which the mechanisms behind are compatible with demand response operation of end users… More >

Raisa Nazir Ahmed Kazi^1,*, Manjur Kolhar², Faiza Rizwan²

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1237-1250, 2021, DOI:10.32604/cmc.2020.012707

Abstract The widespread use of smartwatches has increased their specific and complementary activities in the health sector for patient’s prognosis. In this study, we propose a framework referred to as smart forecasting CardioWatch (SCW) to measure the heart-rate variation (HRV) for patients with myocardial infarction (MI) who live alone or are outside their homes. In this study, HRV is used as a vital alarming sign for patients with MI. The performance of the proposed framework is measured using machine learning and deep learning techniques, namely, support vector machine, logistic regression, and decision-tree classification techniques. The results indicated that the analysis of… More >