Niharika Gupta¹, Baijnath Kaushik¹, Mohammad Khalid Imam Rahmani^2,*, Saima Anwar Lashari^2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 347-366, 2023, DOI:10.32604/cmc.2023.038864 - 08 June 2023

Abstract Diabetes is one of the fastest-growing human diseases worldwide and poses a significant threat to the population’s longer lives. Early prediction of diabetes is crucial to taking precautionary steps to avoid or delay its onset. In this study, we proposed a Deep Dense Layer Neural Network (DDLNN) for diabetes prediction using a dataset with 768 instances and nine variables. We also applied a combination of classical machine learning (ML) algorithms and ensemble learning algorithms for the effective prediction of the disease. The classical ML algorithms used were Support Vector Machine (SVM), Logistic Regression (LR), Decision… More >

Ting Wang¹, Boris Cheval^2,3, Silvio Maltagliati⁴, Zachary Zenko⁵, Fabian Herold⁶, Sebastian Ludyga⁷, Markus Gerber⁷, Yan Luo⁸, Layan Fessler⁴, Notger G. Müller⁶, Liye Zou^1,*

International Journal of Mental Health Promotion, Vol.25, No.7, pp. 799-812, 2023, DOI:10.32604/ijmhp.2023.028324 - 01 June 2023

Abstract Despite the well-established benefits of regular physical activity (PA) on health, a large proportion of the world population does not achieve the recommended level of regular PA. Although affective experiences toward PA may play a key role to foster a sustained engagement in PA, they have been largely overlooked and crudely measured in the existing studies. To address this shortcoming, the Affective Exercise Experiences (AFFEXX) questionnaire has been developed to measure such experiences. Specifically, this questionnaire was developped to assess the following three domains: antecedent appraisals (e.g., liking vs. disliking exercise in groups), core affective… More >

WEI LIANG^1,2,*, ZONGWEI ZHANG^1,2, KEJU YANG^1,2,3, HONGTU HU^1,2, QIANG LUO^1,2, ANKANG YANG^1,2, LI CHANG⁴, YUANYUAN ZENG⁴

BIOCELL, Vol.47, No.6, pp. 1253-1263, 2023, DOI:10.32604/biocell.2023.027373 - 19 May 2023

Abstract Background: Diabetic nephropathy (DN) is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease worldwide. Diagnostic biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of DN. Kidney biopsy is the gold standard for diagnosing DN; however, its invasive character is its primary limitation. The machine learning approach provides a non-invasive and specific criterion for diagnosing DN, although traditional machine learning algorithms need to be improved to enhance diagnostic performance. Methods: We applied high-throughput RNA sequencing to obtain the genes… More >

SHA LI^1,2,#, YAQIONG LIU^3,#, CHAOLING YAO¹, ANJI XU¹, XIAOLING ZENG⁴, YUXIN GE⁴, XIAOWU SHENG⁴, HAILIN ZHANG^1,2, XIAO ZHOU^1,2,*, YING LONG^1,2,*

BIOCELL, Vol.47, No.5, pp. 1003-1019, 2023, DOI:10.32604/biocell.2023.027209 - 10 April 2023

Abstract Background: Nuclear receptor binding SET domain protein-3 (NSD3) is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers. We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer. Methods: The data were obtained from The Cancer Genome Atlas. Kaplan-Meier analysis, CIBERSORT, gene set enrichment analysis, and gene set variation analysis were performed. The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot. Results: The expression of NSD3 was altered in pan-cancer samples. Patients with higher levels of NDS3 generally had… More >

Hongwei Guan¹, Lingjian Ye^2,3,*, Yurun Wang², Feifan Shen⁴, Yuchen He³

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3535-3550, 2023, DOI:10.32604/iasc.2023.036399 - 15 March 2023

Abstract The absorber is the key unit in the post-combustion monoethanolamine (MEA)-based carbon dioxide (CO₂) capture process. A rate-based dynamic model for the absorber is developed and validated using steady-state experimental data reported in open literature. Sensitivity analysis is performed with respect to important model parameters associated with the reaction, mass transport and physical property relationships. Then, a singular value decomposition (SVD)-based subspace parameter estimation method is proposed to improve the model accuracy. Finally, dynamic simulations are carried out to investigate the effects of the feed rate of lean MEA solution and the flue inlet conditions. Simulation More >

Umashankar Ganesan^1,*, A. Vimala Juliet², R. Amala Jenith Joshi³

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2849-2863, 2023, DOI:10.32604/iasc.2023.033759 - 15 March 2023

Abstract Brain signal analysis plays a significant role in attaining data related to motor activities. The parietal region of the brain plays a vital role in muscular movements. This approach aims to demonstrate a unique technique to identify an ideal region of the human brain that generates signals responsible for muscular movements; perform statistical analysis to provide an absolute characterization of the signal and validate the obtained results using a prototype arm. This can enhance the practical implementation of these frequency extractions for future neuro-prosthetic applications and the characterization of neurological diseases like Parkinson’s disease (PD).… More >

Shoukai Lin^1,2,#, Shichang Xu^1,#, Liyan Huang¹, Fuxiang Qiu¹, Yihong Zheng¹, Qionghao Liu¹, Shiwei Ma^1,2, Bisha Wu^1,2, Jincheng Wu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1185-1201, 2023, DOI:10.32604/phyton.2023.026752 - 06 January 2023

Abstract Loquat (Eriobotrya japonica Lindl.) is a subtropical evergreen fruit tree that produces fruits with abundant nutrients and medicinal components. Confirming suitable reference genes for a set of loquat samples before qRT-PCR experiments is essential for the accurate quantification of gene expression. In this study, eight candidate reference genes were selected from our previously published RNA-seq data, and primers for each candidate reference gene were designed and evaluated. The Cq values of the candidate reference genes were calculated by RT-qPCR in 31 different loquat samples, including 12 subgroups of developing or abiotic-stressed tissues. Different combinations of stable… More >

FENGLIN BAI^1,2,#, BIANXIA BAI^1,2,#, TINGTING JIN^1,2, GUIPING ZHANG^1,2, JIAHONG REN^1,2,*

BIOCELL, Vol.47, No.3, pp. 647-656, 2023, DOI:10.32604/biocell.2023.024758 - 03 January 2023

Abstract Background: Serratia ureilytica DW2 is a highly efficient phosphate-solubilizing bacteria isolated from Codonopsis pilosula rhizosphere soil that can promote the growth of C. pilosula; nonetheless, until now, no validated reference genes from the genus Serratia have been reported that can be used for the normalization of quantitative real-time polymerase chain reaction (RT–qPCR) data. Methods: To screen stable reference genes of S. ureilytica DW2, the expression of its eight candidate reference genes (16S rRNA, ftsZ, ftsA, mreB, recA, slyD, thiC, and zipA) under different treatment conditions (pH, temperature, culture time, and salt content) was assayed by RT–qPCR. The expression stability of these genes was analyzed using… More >

Atif Ikram^1,2,*, Masita Abdul Jalil¹, Amir Bin Ngah¹, Adel Sulaiman³, Muhammad Akram³, Ahmad Salman Khan⁴

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5035-5048, 2023, DOI:10.32604/cmc.2023.034692 - 28 December 2022

Abstract The successful execution and management of Offshore Software Maintenance Outsourcing (OSMO) can be very beneficial for OSMO vendors and the OSMO client. Although a lot of research on software outsourcing is going on, most of the existing literature on offshore outsourcing deals with the outsourcing of software development only. Several frameworks have been developed focusing on guiding software system managers concerning offshore software outsourcing. However, none of these studies delivered comprehensive guidelines for managing the whole process of OSMO. There is a considerable lack of research working on managing OSMO from a vendor’s perspective. Therefore,… More >

S. Sudha^*, A. Srinivasan, T. Gayathri Devi

Computer Systems Science and Engineering, Vol.45, No.2, pp. 1985-2000, 2023, DOI:10.32604/csse.2023.030960 - 03 November 2022

Abstract The substantial vision loss due to Diabetic Retinopathy (DR) mainly damages the blood vessels of the retina. These feature changes in the blood vessels fail to exist any manifestation in the eye at its initial stage, if this problem doesn’t exhibit initially, that leads to permanent blindness. So, this type of disorder can be only screened and identified through the processing of fundus images. The different stages in DR are Micro aneurysms (Ma), Hemorrhages (HE), and Exudates, and the stages in lesion show the chance of DR. For the advancement of early detection of DR… More >