David Graf, Philipp Neuner, Reinhard Rauch^*

Energy Engineering, Vol.119, No.6, pp. 2169-2192, 2022, DOI:10.32604/ee.2022.022759

Abstract The number of annually registered internal-combustion vehicles still exceeds electric-driven ones in most regions, e.g., Germany. Ambitious goals are disclosed with the European Green Deal, which calls for new technical approaches and greenhouse gas neutral transition technologies. Such bridging technologies are synthetic fuels for the transportation sector, e.g., using the bioliq^® process for a CO₂-neutral gasoline supply. Fuels must meet the applicable national standards to be used in existing engines. Petrochemical parameters can be variably adapted to their requirements by hydroprocessing. In this work, we considered the upgrading of aromatic-rich DTG gasoline from the bioliq^® process. The heavy gasoline was… More >

Chia-Nan Wang, Tien–Lin Chao^*

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2485-2494, 2022, DOI:10.32604/cmc.2022.026682

Abstract In many port capacity upgrade projects, choosing a supplier of equipment is a complicated decision, project managers must consider many criteria to choose a supplier to ensure the project is completed on time, optimal in terms of benefit and cost. Therefore, selecting the equipment supplier in this project is a multi-criteria decision-making process. The multi-criteria decision-making (MCDM) model is applied in many fields to select the optimal solution, but there are very few studies using the MCDM model to support project managers in evaluating and selecting optimal solutions in port capacity upgrade project. In this research, the authors combine Fuzzy… More >

Shakra Mehak¹, M. Usman Ashraf², Rabia Zafar³, Ahmed M. Alghamdi⁴, Ahmed S. Alfakeeh⁵, Fawaz Alassery⁶, Habib Hamam⁷, Muhammad Shafiq^8,*

CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3407-3423, 2022, DOI:10.32604/cmc.2022.022705

Abstract Breast cancer (BC) is the most widely recognized cancer in women worldwide. By 2018, 627,000 women had died of breast cancer (World Health Organization Report 2018). To diagnose BC, the evaluation of tumours is achieved by analysis of histological specimens. At present, the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC aggressiveness. Pathologists contemplate three elements, 1. mitotic count, 2. gland formation, and 3. nuclear atypia, which is a laborious process that witness's variations in expert's opinions. Recently, some algorithms have been proposed for the detection of mitotic cells, but nuclear atypia in breast cancer… More >

Zhenggang Zhan¹, Han Chen^2,3, Yanyi Zhang^2,3, Ruilin Cheng¹, Gang Deng^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.1, pp. 131-144, 2022, DOI:10.32604/fdmp.2022.017536

Abstract The factors influencing the permeability coefficient of gravelly soils used for the development of embankment dams (core wall) are analyzed. Such factors include (but are not limited to) soil size, anisotropy, density and boundary effects. A review of the literature is conducted and new directions of research are proposed. In such a framework, it is shown that gravelly soil with controlled density and vertical stress should be used to optimize the measurement of the vertical and horizontal permeability coefficients, respectively. More >

YASSER S. MOSTAFA^1,*, SAAD A. ALAMRI^1,2, SULIMAN A. ALRUMMAN¹, TAREK H. TAHA³, MOHAMED HASHEM^1,4, MAHMOUD MOUSTAFA^1,5, LAMIAA I. FAHMY⁶

BIOCELL, Vol.45, No.6, pp. 1661-1672, 2021, DOI:10.32604/biocell.2021.016193

Abstract The study was sought to enhance the synthesis of thermal stable β-cyclodextrin glycosyltransferase (β-CGTase) using potato wastewater as a low-cost medium and assess the degree to which it is efficient for industrial production of β-cyclodextrin (β-CD) from raw potato starch. Thermophilic bacteria producing β-CGTase was isolated from Saudi Arabia and the promising strain was identified as Bacillus licheniformis using phylogenetic analysis of the 16S rRNA gene. Alginate-encapsulated cultures exhibited twice-fold of β-CGTase production more than free cells. Scanning electron microscopy (SEM) of polymeric capsules indicated the potential for a longer shelf-life, which promotes the restoration of activity in bacterial cells… More >

Tina Babu¹, Deepa Gupta¹, Tripty Singh^1,*, Shahin Hameed², Mohammed Zakariah³, Yousef Ajami Alotaibi⁴

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 99-128, 2021, DOI:10.32604/cmc.2021.016341

Abstract Automated grading of colon biopsy images across all magnifications is challenging because of tailored segmentation and dependent features on each magnification. This work presents a novel approach of robust magnification-independent colon cancer grading framework to distinguish colon biopsy images into four classes: normal, well, moderate, and poor. The contribution of this research is to develop a magnification invariant hybrid feature set comprising cartoon feature, Gabor wavelet, wavelet moments, HSV histogram, color auto-correlogram, color moments, and morphological features that can be used to characterize different grades. Besides, the classifier is modeled as a multiclass structure with six binary class Bayesian optimized… 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 >

YUAN SONG^1,#, CAI WEI^2,#, JINGJING WANG^3,*

BIOCELL, Vol.45, No.3, pp. 733-744, 2021, DOI:10.32604/biocell.2021.013236

Abstract Oxidative stress-mediated cell death in cardiomyocytes contributes to the development of atrial fibrillation. However, the detailed mechanisms are still unclear. In the present study, we established atrial fibrillation models in mice. The cardiomyocytes were isolated from atrial fibrillation mice and normal mice and were cultured in vitro, respectively. The results showed that cell proliferation and viability in cardiomyocytes with atrial fibrillation were significantly lower than the cells from the normal mice. Consistently, atrial fibrillation cardiomyocytes were prone to suffer from apoptotic cell death. Also, the oxidative stress and ferroptosis-associated signatures were significantly increased in atrial fibrillation cardiomyocytes compared to normal… More >

Afzan Adam^1,*, Abdul Hadi Abd Rahman¹, Nor Samsiah Sani¹, Zaid Abdi Alkareem Alyessari¹, Nur Jumaadzan Zaleha Mamat², Basela Hasan³

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 761-777, 2021, DOI:10.32604/cmc.2021.014599

Abstract Boundary effect in digital pathology is a phenomenon where the tissue shapes of biopsy samples get distorted during the sampling process. The morphological pattern of an epithelial layer is greatly affected. Theoretically, the shape deformation model can normalise the distortions, but it needs a 2D image. Curvatures theory, on the other hand, is not yet tested on digital pathology images. Therefore, this work proposed a curvature detection to reduce the boundary effects and estimates the epithelial layer. The boundary effect on the tissue surfaces is normalised using the frequency of a curve deviates from being a straight line. The epithelial… More >

Jong-Yih Kuo^*, Hui-Chi Lin, Chien-Hung Liu

Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 53-68, 2021, DOI:10.32604/iasc.2021.014437

Abstract Predicting salary trends of students after employment is vital for helping students to develop their career plans. Particularly, salary is not only considered employment information for students to pursue jobs, but also serves as an important indicator for measuring employability and competitiveness of graduates. This paper considers salary prediction as an ordinal regression problem and uses deep learning techniques to build a salary prediction model for determining the relative ordering between different salary grades. Specifically, to solve this problem, the model uses students’ personal information, grades, and family data as input features and employs a multi-output deep neural network to… More >