A collocation procedure for the numerical treatment of FitzHugh–Nagumo equation using a kind of Chebyshev polynomials by Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Ahmed Gamal Atta

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Measurements of the Characteristics of Transparent Material Using Digital Holography by Ding Yu, Shang Wenbin, Yang Hong, Yang Yan

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Intelligent generation and optimization of resources in music teaching reform based on artificial intelligence and deep learning by Ding Cheng, Xiaoyu Qu

“…Therefore, a Melody Generation Model in Music Education Based on Actor-Critic Framework (AC-MGME) is proposed. …”
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Adaptive Feature Selection of Unbalanced Data for Skiing Teaching by Tao Feng

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Vibration Control Method of an Electromagnetic Isolation System Based on LQR and Coevolutionary NGA by Lei Zhang, Xiangtao Zhuan

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LMO2 confers value as a potential immunotherapy marker in pan-cancer analysis and inhibits progression of Clear Cell Renal Cell Carcinoma by Huiping Wang, Cong Wang, Jia Wei, Xuan’er Zhao, Xuemei Yang, Renren Li, Mengmeng Li, Zhansheng Zhu

“…Immune microenvironment associations were evaluated through Pearson correlation coefficients and TIMER algorithm validation. Subsequent functional enrichment analyses and predictive regulator identification were performed to delineate signaling pathways in ccRCC. …”
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A Matrix Approach by Convolved Fermat Polynomials for Solving the Fractional Burgers’ Equation by Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Naher Mohammed A. Alsafri, Amr Kamel Amin, Ahmed Gamal Atta

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Comparison of four different assays to evaluate cellular-mediated immunity against cytomegalovirus in solid organ transplantation by Angela Casas-Parra, Angela Casas-Parra, Hendrik Veltman, Alba Romero-Caballero, Alba Romero-Caballero, Rosana Gelpi-Remiro, Rosana Gelpi-Remiro, Marc Boigues-Pons, Imán Allalou, Ian Linares-Pardo, Anna Vila-Santandreu, Anna Vila-Santandreu, Eva Martínez-Cáceres, Eva Martínez-Cáceres, Eva Martínez-Cáceres, María Iglesias-Escudero, María Iglesias-Escudero, María Iglesias-Escudero

“…This algorithm involves testing patients using the QuantiFERON-CMV® assay, followed by AIM testing in cases of indeterminate results or HLA mismatches. …”
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The value of a combined model based on ultra-radiomics and multi-modal ultrasound in the benign-malignant differentiation of C-TIRADS 4A thyroid nodules: a prospective multicenter... by Shuai Cui, Qifan Liu, Hailong Wang, Husha Li, Wei Li, Chenlong Li, Leilei Bi, Yang Mu, Wenjing Guo, Jundong Yao, Zhoulong Zhang

“…The predictive efficiency and accuracy of these models were evaluated using Receiver Operating Characteristic (ROC) curves, calibration curves, and Decision Curve Analysis (DCA). …”
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Genomic selection for meat quality traits based on VIS/NIR spectral information by Xi Tang, Lei Xie, Min Yan, Longyun Li, Tianxiong Yao, Siyi Liu, Wenwu Xu, Shijun Xiao, Nengshui Ding, Zhiyan Zhang, Lusheng Huang

“…Among them, the prediction accuracy of Strategy II for fat (%) even improved by 50.7% compared to traditional GS. …”
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«Gastroenterological» rheumatology: differential diagnosis of early arthritis by E. A. Galushko, A. M. Lila

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CatSkill: Artificial Intelligence-Based Metrics for the Assessment of Surgical Skill Level from Intraoperative Cataract Surgery Video Recordings by Binh Duong Giap, PhD, Dena Ballouz, MD, Karthik Srinivasan, MD, MS, Jefferson Lustre, BS, Keely Likosky, BS, Ossama Mahmoud, MD, Shahzad I. Mian, MD, Bradford L. Tannen, MD, JD, Nambi Nallasamy, MD

“…Three CSAMs were computed to analyze 430 cataract surgeries (254 attendings and 176 residents). An ML algorithm was developed to predict surgeon training level using only CSAMs. …”
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Development and evaluation of a soft pneumatic muscle for elbow joint rehabilitation by Mostafa Orban, Mostafa Orban, Mostafa Orban, Kai Guo, Kai Guo, Caijun Luo, Caijun Luo, Hongbo Yang, Hongbo Yang, Karim Badr, Karim Badr, Mahmoud Elsamanty, Mahmoud Elsamanty

“…The algorithm achieved a high predictive accuracy of 99.8% in spatial coordination tracking, indicating the precision of the system in monitoring and controlling the actuator’s motion.…”
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An Asymptotic Analysis of the Gradient Remediability Problem for Disturbed Distributed Linear Systems by Soraya Rekkab, Samir Benhadid, Raheam Al-Saphory

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Development and validation of a population pharmacokinetic model to guide perioperative tacrolimus dosing after lung transplantation by Todd A. Miano, PharmD, PhD, Athena F. Zuppa, MD, MSCE, Rui Feng, PhD, Stephen Griffiths, BS, Laurel Kalman, BA, Michelle Oyster, MS, Edward Cantu, MD, MSCE, Wei Yang, PhD, Joshua M. Diamond, MD, MSCE, Jason D. Christie, MD, MSCE, Marc H. Scheetz, PharmD, MSC, Michael G.S. Shashaty, MD, MSCE

“…The strongest predictor of tacrolimus clearance was postoperative day, with median predicted clearance increasing more than 3-fold over the 14-day study period. …”
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Genome-wide profiling of circulating microRNAs in adolescent idiopathic scoliosis and their relation to spinal deformity severity, and disease pathophysiology by Nasrin Khatami, Iurie Caraus, Mahamuda Rahaman, Evguenia Nepotchatykh, Mohamed Elbakry, Wesam Elremaly, Anita Franco, Marie Beauséjour, Anne-Marie Laberge, Stefan Parent, Hubert Labelle, Carl-Éric Aubin, Jean Lachaine, Alain Moreau

“…After optimization and the application of Random Forest Models a panel of six miRNAs (miR-1-3p, miR-19a-3p, miR-19b-3p, miR-133b, miR-143-3p, and miR-148b-3p) out of 15 led us to develop an algorithm predicting the risk of developing a severe scoliosis with great accuracy (100%), sensitivity (100%) and specificity (100%). …”
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Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body comp... by David Wing, Lisa T. Eyler, Eric J. Lenze, Julie Loebach Wetherell, Jeanne F. Nichols, Romain Meeusen, Job G. Godino, Joshua S. Shimony, Abraham Z. Snyder, Tomoyuki Nishino, Ginger E. Nicol, Guy Nagels, Bart Roelands

“…Methods: Using T1 weighted MRI images, we applied a novel algorithm to determine the physiological age of the brain (brain-predicted age) and the predicted age difference between this physiologically based estimate and chronological age (BrainPAD) to 551 sedentary adults aged 65 to 84 with self-reported cognitive complaint measured at baseline as part of a larger study. …”
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Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis by Cuixia Wang

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Integrated multiomics analysis identifies PHLDA1+ fibroblasts as prognostic biomarkers and mediators of biological functions in pancreatic cancer by Rui Wang, Rui Wang, Guan-Hua Qin, Guan-Hua Qin, Yifei Jiang, Fu-Xiang Chen, Fu-Xiang Chen, Zi-Han Wang, Zi-Han Wang, Lin-Ling Ju, Lin Chen, Da Fu, En-Yu Liu, Su-Qing Zhang, Wei-Hua Cai

“…A 7-gene mCAF-associated risk model was constructed using advanced machine learning algorithms, and the biological significance of PHLDA1 was validated through co-culture experiments and pan-cancer analyses.ResultsOur multiomics analysis revealed that the novel 7-gene model (comprising USP36, KLF5, MT2A, KDM6B, PHLDA1, REL, and DDIT4) accurately predicts patient survival, immunotherapy response, and TME status. …”
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Digital Guillotines :Symbolism and Posthuman Disintegration in Mohsin Hamid’s Exit West by Khalid Sakar

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