Muhammad Ali Memon¹, Asadullah Shaikh^2,*, Adel Sulaiman², Abdullah Alghamdi², Mesfer Alrizq², Bernard Archimède³

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 409-432, 2021, DOI:10.32604/cmc.2021.017653

Abstract In today’s competitive business environment, the cost of a product is one of the most important considerations for its sale. Businesses are heavily involved in research strategies to minimize the cost of elements that can impact on the final price of the product. Logistics is one such factor. Numerous products arrive from diverse locations to consumers in today’s digital era of online businesses. Clearly, the logistics sector faces several dilemmas from order attributes to environmental changes in this regard. This has specially been noted during the ongoing Covid-19 pandemic where the demands on online businesses have increased several fold. Consequently,… More >

Pushpendra Kumar^1,2,*, Ramjeevan Singh Thakur³

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3513-3529, 2021, DOI:10.32604/cmc.2021.016957

Abstract The aim of this research is to develop a mechanism to help medical practitioners predict and diagnose liver disease. Several systems have been proposed to help medical experts by diminishing error and increasing accuracy in diagnosing and predicting diseases. Among many existing methods, a few have considered the class imbalance issues of liver disorder datasets. As all the samples of liver disorder datasets are not useful, they do not contribute to learning about classifiers. A few samples might be redundant, which can increase the computational cost and affect the performance of the classifier. In this paper, a model has been… More >

Jianchao Deng^1,2, Haiying Zhou², Fuming Chen², Shuangbao Zhang^1,*, Ge Wang^2,*

Journal of Renewable Materials, Vol.9, No.9, pp. 1555-1570, 2021, DOI:10.32604/jrm.2021.015461

Abstract Elementary units “bamboo bundle” and “bamboo sliver” were processed and cross-linked as “bamboo-bundle veneer (BBV)” and “bamboo-sliver veneer (BSV)” for preparation of laminated composites. The concept of “high-content-adhesive surface treatment” was raised to improve boards’ performance, rather than increasing adhesive absorption of every layer’s porous unit. That is, some BBVs experienced an extra “dipping & drying” to absorb more resin (named “HBBV”). The effect of the amount of knitting threads was also discussed for influencing BBV’s quality. Results indicated that light transmittance of BBVs decreased as the amount of threads added from 3 to 8, while mechanical stiffness increased. Adding… More >

Xin Chang^1,2,#,*, Jin Wang^2,#, Caifang Ni¹

Oncologie, Vol.23, No.1, pp. 119-130, 2021, DOI:10.32604/oncologie.2021.014152

Abstract Objective: This research was designed to observe the value of miR-1271 and GPC3 in evaluating the prognosis of liver cancer (LC) patients after liver transarterial chemoembolization (TACE). Methods: A total of 80 patients diagnosed as LC in our hospital from January 2018 to April 2019 were included in the LC group (LCG), and then assigned into a survival group (SG) and a death group (DG) based on prognosis. Seventy healthy subjects undergoing physical examination simultaneously were included in the normal group (NG). miR-1271 and GPC3 in serum of two groups of subjects were tested via qRT-PCR. ROC curve was drawn.… More >

Said Ali Hassan¹, Khalid Alnowibet^2,3, Prachi Agrawal⁴, Ali Wagdy Mohamed^5,6,*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1161-1181, 2021, DOI:10.32604/cmc.2021.015494

Abstract The optimum delivery of safeguarding substances is a major part of supply chain management and a crucial issue in the mitigation against the outbreak of pandemics. A problem arises for a decision maker who wants to optimally choose a subset of candidate consumers to maximize the distributed quantities of the needed safeguarding substances within a specific time period. A nonlinear binary mathematical programming model for the problem is formulated. The decision variables are binary ones that represent whether to choose a specific consumer, and design constraints are formulated to keep track of the chosen route. To better illustrate the problem,… More >

PIYOOSH KUMAR BABELE^1,2,#,*, MAHENDRA KUMAR VERMA^2,#, RAVI KANT BHATIA^3,#

BIOCELL, Vol.45, No.2, pp. 267-279, 2021, DOI:10.32604/biocell.2021.013409

Abstract Carbon nanotubes (CNTs) have tremendous applications in almost every walk of life; however, their harmful impacts on humans and the environment are not well addressed. CNTs have been used in various applications ranging from medical science to different engineering branches, to ease human life. Generally, the toxicological profile of CNTs under laboratory conditions cannot be assessed primarily in medical science due to the inconsistent availability of cytotoxic study data. CNT toxicity has been affected by many physicochemical properties (e.g., size, type of functionalization), concentration, the extent of exposure, mode of exposure, and even the solvents/medium used to dissolve/disperse CNTs for… More >

BEEMNET MENGESHA KASSAHUN^1,#, BEUM-CHANG KANG^2,#, SU-JI BAE², YE JIN NAM¹, GRETEL FONSECA MUNDO¹, GA-HUI KANG¹, KYOUNGOOK KIM³, JEUNG-SUL HAN^1,4,*

BIOCELL, Vol.45, No.1, pp. 199-215, 2021, DOI:10.32604/biocell.2021.012353

Abstract Solanum lycopersicum ‘Heinz 1706’ is a pioneer model cultivar for tomato research, whose whole genome sequence valuable for genomics studies is available. Nevertheless, a genetic transformation procedure for this cultivar has not yet been reported. Meanwhile, various genome editing technologies such as transfection of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) ribonucleoprotein complexes into cells are in the limelight. Utilizing the Cas9-expressing genotype possessing a reference genome can simplify the verification of an off-target effect, resolve the economic cost of Cas9 endonuclease preparation, and avoid the complex assembly process together with single-guide RNA (sgRNA) in the transfection approach. Thus,… More >

PENG WU^#, MANLI GAO^#, JIANJIAN DONG, CHENCHEN XU, BO LI, XUN WANG, YONGZHU HAN, NAN CHENG^*

BIOCELL, Vol.45, No.1, pp. 109-117, 2021, DOI:10.32604/biocell.2021.012048

Abstract Wilson disease (WD), known as hepatolenticular degeneration (HLD), is a treatable autosomal recessive disorder of copper metabolism. Because copper deposits in the liver first, the liver is not only the original defective organ but also the most affected organ. The liver injury is also one of the main causes of death throughout the course of the disease. Therefore, the treatment of liver injury is the main task of WD treatment, which is of great significance to improve the prognosis of patients. Autophagy is a process that promotes cell survival through degradation, recycling, and absorption in order to maintain the normal… More >

Sara Moufarrij¹, Manisha Gandhi¹, Wilson Lam², Angeline Opina^2,*

Congenital Heart Disease, Vol.16, No.2, pp. 137-139, 2021, DOI:10.32604/CHD.2021.013165

Abstract A 23-year-old female with Tetralogy of Fallot who is 30w6d pregnant presented with palpitations and syncope from an outside hospital. She was found to have ventricular tachycardia. Successful placement of a transvenous implantable cardiac defibrillator allowed for symptomatic control and a subsequent successful vaginal delivery. More >

Muhammad Sohaib Aslam¹, Muhammad Younas¹, Muhammad Umar Sarwar¹, Muhammad Arif Shah^2,*, Atif Khan³, M. Irfan Uddin⁴, Shafiq Ahmad⁵, Muhammad Firdausi⁵, Mazen Zaindin⁶

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1899-1914, 2021, DOI:10.32604/cmc.2021.015151

Abstract Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics 2018. There are several imaging tests like Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the liver. These tests are costly and time-consuming. This paper proposed that image processing through deep learning Convolutional Neural Network (CNNs) ResUNet model that can be helpful for the early diagnose of tumor instead of conventional methods. The existing studies… More >