Saleem Mustafa¹, Arfan Jaffar¹, Muhammad Waseem Iqbal^2,*, Asma Abubakar², Abdullah S. Alshahrani³, Ahmed Alghamdi⁴

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2205-2218, 2023, DOI:10.32604/iasc.2023.029549 - 19 July 2022

Abstract Melanoma is of the lethal and rare types of skin cancer. It is curable at an initial stage and the patient can survive easily. It is very difficult to screen all skin lesion patients due to costly treatment. Clinicians are requiring a correct method for the right treatment for dermoscopic clinical features such as lesion borders, pigment networks, and the color of melanoma. These challenges are required an automated system to classify the clinical features of melanoma and non-melanoma disease. The trained clinicians can overcome the issues such as low contrast, lesions varying in size,… More >

A. Soujanya^1,*, N. Nandhagopal²

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 675-687, 2023, DOI:10.32604/iasc.2023.025930 - 06 June 2022

Abstract Due to the rising occurrence of skin cancer and inadequate clinical expertise, it is needed to design Artificial Intelligence (AI) based tools to diagnose skin cancer at an earlier stage. Since massive skin lesion datasets have existed in the literature, the AI-based Deep Learning (DL) models find useful to differentiate benign and malignant skin lesions using dermoscopic images. This study develops an Automated Seeded Growing Segmentation with Optimal EfficientNet (ARGS-OEN) technique for skin lesion segmentation and classification. The proposed ASRGS-OEN technique involves the design of an optimal EfficientNet model in which the hyper-parameter tuning process More >

Kingsley A. Ogudo¹, R. Surendran^2,*, Osamah Ibrahim Khalaf³

Computer Systems Science and Engineering, Vol.44, No.1, pp. 693-707, 2023, DOI:10.32604/csse.2023.024154 - 01 June 2022

Abstract Skin lesions have become a critical illness worldwide, and the earlier identification of skin lesions using dermoscopic images can raise the survival rate. Classification of the skin lesion from those dermoscopic images will be a tedious task. The accuracy of the classification of skin lesions is improved by the use of deep learning models. Recently, convolutional neural networks (CNN) have been established in this domain, and their techniques are extremely established for feature extraction, leading to enhanced classification. With this motivation, this study focuses on the design of artificial intelligence (AI) based solutions, particularly deep… More >

V. S. MAMTANI, A. K. GHOSH^*, R. C. BINDAL

Journal of Polymer Materials, Vol.39, No.1-2, pp. 137-149, 2022, DOI:10.32381/JPM.2022.39.1-2.9

Abstract In this study, polysulfone based capillary ultrafiltration membranes with desired characteristics were indigenously developed and their performance was evaluated with respect to turbidity removal from raw sea water. Capillary membranes were spun with in-house fabricated spinneret using polymer casting solution (dope solution) of different compositions having different viscosity using polyvinyl pyrrolidone (PVP) as pore-forming agent. Different experimental conditions namely dope pressure, bore fluid flow rate and air gap distance are optimized to get membranes of desired properties. Test results of individual capillaries in terms of pure water permeability (PWP), separation of single uncharged solutes like… More >

Ayad S. Abdallah^a,b,*, Nabil Jamil Yasin^a, Hani Aziz Ameen^a

Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-7, 2022, DOI:10.5098/hmt.18.10

Abstract To reduce the energy consumption in air-conditioning systems without changing the required temperature level in the air-conditioned space, Heat Pipe Heat Exchanger (HPHE) has been experimentally used and tested. The heat pipe has been filled with working fluid by about 50% of the volume of the evaporator which represents the filling ratio. In this research, three mass concentration of nanoparticle from copper oxide (CuO), 1wt%, 3wt% and 5wt% have been used and studied. Additionally, its effect on the HPHE effectiveness and the heat recovery ratio at different inlet air temperatures, 30, 35, 40, 45, 50,… More >

Namphon Pipatpaiboon^a , Teerapat Chompookham^b, Sampan Rittidech^b, Yulong Ding^c, Thanya Parametthanuwat^d, Surachet Sichamnan^a,*

Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-9, 2022, DOI:10.5098/hmt.19.24

Abstract When nanofluid (NF) is used as the working fluid in a rectangular two-phase closed thermosyphon (RTPCT), the formations and heat performance of two-phase flow patterns are explored qualitatively. Silver nanoparticles were mixed with deionized water at a concentration of 0.5 wt% in the NF. Nanoparticles improved the thermal contact surface area within the base flow, allowing the base fluid to boil quickly and easily. When the working fluid was boiled, NF also demonstrated high thermal conductivity capabilities, which diffused and moved along with the dual flow patterns. As a result, these qualities improved the RTPCT's More >

Suraj Shembekar^*, Dhananjay Zodpe, Pramod Padole

Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 165-175, 2022, DOI:10.32604/mcb.2022.021513 - 27 December 2022

Abstract Arteriovenous fistula (AVF) is the endorsed method of vascular access for hemodialysis in end-stage renal disease (ESRD). However, more than 60% of AVF fail to mature for hemodialysis. Intimal hyperplasia leads to stenosis is the primary cause of fistula failure. Wall shear stress (WSS) is one of the important parameters that enact a crucial role in building of intimal hyperplasia. The prime purpose of this research work is to investigate the effect of anastomosis angle on WSS, pressure drop, venous outflow rate and identify the optimal angle of anastomosis of AVF, so that it helps… More >

Dongliang Zhu^1,*, Jun Yang², Jiaxin Xu³

Oncologie, Vol.24, No.3, pp. 471-482, 2022, DOI:10.32604/oncologie.2022.024062 - 19 September 2022

Abstract G-protein coupled estrogen receptor (GPER) is a transmembrane receptor that mediates non-genomic effects of estrogen. This study aimed to investigate the role of GPER in the stemness formation and malignancies in triple negative breast cancer (TNBC) cells. Spheroids of MDA-MB-468 cells were induced by mammosphere culture, and the proportion of the CD44⁺ /CD24^−/low stem cell subpopulation was detected. Malignant characteristics, expression of GPER and stemness-related markers, and tumorigenesis in a xenograft assay were compared between the mammospheres and adherent cultured cells. The impacts of 17β-estradiol (E2) and the GPER-specific antagonist G15 were studied in in vitro assays.… More >

Yangsheng Sun¹, Zhihua Wang¹, Gaoqin Wang², Beibei Wang^3,*

Energy Engineering, Vol.119, No.6, pp. 2193-2210, 2022, DOI:10.32604/ee.2022.020943 - 14 September 2022

Abstract The market power mitigation method of the supply-side has become one of the key points affecting the stability of the electricity spot market. Different mitigation mechanisms are used in the current mature electricity markets of the world. However, the same market power mitigation mechanism shows different effects in different market environments. Every market operator in the world needs the most efficient way to mitigate market power. Considering that there is no relevant literature discussing the market power effects of different mitigation methods in detail, the mitigation effects need to be discussed and further researched. So, More >

Xiyang Li¹, Yuhao Jia², Hui Zhang^1,*, Bin Cheng¹

Energy Engineering, Vol.119, No.6, pp. 2549-2567, 2022, DOI:10.32604/ee.2022.020854 - 14 September 2022

Abstract Icing can significantly change the geometric parameters of wind turbine blades, which in turn, can reduce the aerodynamic characteristics of the airfoil. In-depth research is conducted in this study to identify the reasons for the decline of wind power equipment performance through the icing process. An accurate experimental test method is proposed in a natural environment that examines the growth and distribution of ice formation over the airfoil profile. The mathematical models of the airfoil chord length, camber, and thickness are established in order to investigate the variation of geometric airfoil parameters under different icing… More >