Prognostic Significance of DNA Cytometry in Carcinoma of the Uterine Cervix FIGO Stage IB and II by Hans Jürgen Grote, Nicolaus Friedrichs, Natalia Pomjanski, Helen Friderike Guhde, Olaf Reich, Alfred Böcking

“…DNA stemline ploidy, DNA stemline aneuploidy, 5c exceeding rate, 9c exceeding rate, 2c deviation index, and DNA malignancy grade were computed. DNA‐variables as well as various clinical and histological variables were related to survival rates. …”
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Artificial neural network model using Levenberg Marquardt algorithm to analyse transient flow and thermal characteristics of micropolar nanofluid in a microchannel by Pradeep Kumar, Felicita Almeida, Ajaykumar AR, Qasem Al-Mdallal

“…The prominent conclusion from the analysis is that artificial neural network is sophisticated tool to predict the subsequent sequel of fluid flow and heat transport over a long period of time, reducing computational time to solve complicated fluid flow problems.…”
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Dynamic Response Analyses of Plastic Greenhouse Structure considering Fluctuating Wind Load by Yingchun Jiang, Yikui Bai, Cong Wang, Yonggang Wang, Xinfu Pang

“…Finally, the dynamic response of the steel skeletons of plastic greenhouses is analyzed under the effect of the simulation wind speed, and the spatial distribution of the maximum node displacement and the section maximum stress of the steel skeleton are obtained. Computational results show that the displacement peak is near the top of the plastic greenhouse. …”
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A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

“…To validate our method, we applied it to three distinct engineering problems: predicting the failure boundary of a zero Poisson ratio structure, analyzing surge and choke boundaries in an axial flow compressor rotor, and tackling a 31-dimensional simulation failure boundary prediction problem within the computational fluid dynamics context of the same rotor. …”
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RETRACTED ARTICLE: Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry by Sayed M. El Din, Adil Darvesh, Assad Ayub, Tanveer Sajid, Wasim Jamshed, Mohamed R. Eid, Syed M. Hussain, Manuel Sánchez-Chero, Sheda Méndez Ancca, Johana Milagritos Ramírez Cerna, Carmen Luisa Aquije Dapozzo

“…This article is novel in its sense that the influence of oblique magnetic force and second order velocity slippage on Carreau nano liquid and its numerical computation with help of the spectral relaxation method has never been done before. …”
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Self-reported Myopia in Trinidad and Tobago: A Cross-sectional Study by Ngozika Esther Ezinne, Michael Agyemang Kwarteng, Selassie Tagoh, Arian Jagroo, Darnell Martin

“…Myopia was associated with family history, lifestyle, use of spectacles, daily use of computers, near work, outdoor activities, sleeping and having a father or mother with myopia (All P < 0.05). …”
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Substorm‐Time Ground dB/dt Variations Controlled by Interplanetary Shock Impact Angles: A Statistical Study by Denny M. Oliveira, James M. Weygand, John C. Coxon, Eftyhia Zesta

“…Then, such currents are inverted back to the ground and dB/dt variations are computed. Geographic maps are built with these field variations as a function of shock impact angles. …”
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Squamous Cell Carcinoma of Nasofacial Groove by Tamajit Sau, Saumitra Kumar, Ankita Atin Mukherjee, Debalina Mazumdar

“…Diagnostic nasal endoscopy was within normal limit. Computed Tomography showed a well-defined heterogenous oval mass over the right maxilla extending over right nasofacial region. …”
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Assessment of Cardiovascular Apoptosis in the Isolated Rat Heart by Magnetic Resonance Molecular Imaging by Karl-Heinz Hiller, Christiane Waller, Matthias Nahrendorf, Wolfgang R. Bauer, Peter M. Jakob

“…For the detection of apoptosis in vivo, positron emission tomography and single-photon emission computed tomography have been shown to be suitable tools. …”
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Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

“…Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. …”
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Causal models and prediction in cell line perturbation experiments by James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

“…This has led to the development of computational models that can predict cellular responses to perturbations in silico. …”
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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…Current clinical diagnostic trials include traditional methods (such as occlusion test, probing, cold stimulation, etc.) and X-rays based medical imaging (periapical radiography (PR), cone-beam computed tomography (CBCT), etc.). However, these methods are strongly dependent on the experience of the clinicians, and some inconspicuous cracks are also extremely easy to be overlooked by visual observation, which will definitely affect the subsequent treatments. …”
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Assessment of the Contribution of Local and Regional Biomass Burning on PM2.5 in New York/New Jersey Metropolitan Area by Subraham Singh, Glen Johnson, David W. DuBois, Ilias G. Kavouras

“…The contributions of secondary nitrate, primary traffic exhausts and diesel particles did not change (or slightly increased) over time except for the Queens site, where statistically significant declines were computed. Biomass burning contributions increased in the Queens and Chester sites but declined in the Division Str and Elizabeth Lab sites, although significant interannual variability was observed. …”
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Calibrating the Color–Magnitude Relation of M Giants by Using Open Clusters by X. Y. Tang, C. J. Hao, J. Li, Z. Z. Yan, Y. Xu, J. Zhong, Z. H. Lin, Y. J. Li, D. J. Liu, L. F. Ding, X. F. Long

“…Using the distances of M giants derived from the CMR, we computed their radial velocity ( V _R ), azimuthal velocity ( V _ϕ ), and vertical velocity ( V _Z ), respectively. …”
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A Case Report of Obstructive Shock from an Esophageal Bolus Leading to Left Atrial Compression by Sharmin Kalam, Sergio Marquez, Emmelyn J. Samones, Tammy Phan, Vi Am Dinh

“…This case underlines the impact of esophageal pathology on cardiac output and highlights ultrasound’s dynamic diagnostic utility alongside computed tomography. Case Report: A 64-year-old female with a history of colon cancer and peritoneal metastases status post colostomy presented with altered mental status and urinary symptoms. …”
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Round Window Accessibility Prediction in Cochlear Implant Surgery by Salah-eddine Youbi, Omar Oulghoul, Youssef Lakhdar, Atmane Zaroual, Mohamed Chehbouni, Othmane Benhoummad, Youssef Rochdi, Abdelaziz Raji

“…Objective is to predict round window (RW) accessibility during CI surgery using high-resolution computed tomography (HRCT). Methods: We retrospectively reviewed preoperative HRCT scans of 142 patients who underwent CI surgery via the standard posterior tympanotomy approach at our ENT Head and Neck Surgery department. …”
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Preliminary study on the construction of a data privacy protection course based on a teaching-in-practice range by Zhe SUN, Hong NING, Lihua YIN, Binxing FANG

“…Since China’s Data Security Law, Personal Information Protection Law and related laws were formalized, demand for privacy protection technology talents has increased sharply, and data privacy protection courses have been gradually offered in the cyberspace security majors of various universities.Building on longstanding practices in data security research and teaching, the teaching team of “Academician Fang Binxing’s Experimental Class” (referred to as “Fang Class”) at Guangzhou University has proposed a teaching method for data privacy protection based on a teaching-in-practice range.In the selection of teaching course content, the teaching team selected eight typical key privacy protection techniques including anonymity model, differential privacy, searchable encryption, ciphertext computation, adversarial training, multimedia privacy protection, privacy policy conflict resolution, and privacy violation traceability.Besides, the corresponding teaching modules were designed, which were deployed in the teaching practice range for students to learn and train.Three teaching methods were designed, including the knowledge and application oriented teaching method which integrates theory and programming, the engineering practice oriented teaching method based on algorithm extension and adaptation, and the comprehensive practice oriented teaching method for practical application scenarios.Then the closed loop of “learning-doing-using” knowledge learning and application was realized.Through three years of privacy protection teaching practice, the “Fang class” has achieved remarkable results in cultivating students’ knowledge application ability, engineering practice ability and comprehensive innovation ability, which provided useful discussion for the construction of the initial course of data privacy protection.…”
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Exploring the Orca Predation Algorithm for Economic Dispatch Optimization in Power Systems by Vivi Aida Fitria, Arif Nur Afandi, Aripriharta

“…Although Orca Predation Algorithm demonstrates greater performance, it necessitates extended computing time, which future research could mitigate by exploring parallelization or hybrid methodologies. …”
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Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field by Tianrui Ye, Jin Meng, Yitian Xiao, Yaqiu Lu, Aiwei Zheng, Bang Liang

“…To demystify the “black-box” nature of the ensemble model, KernelSHAP, a kernel-based approach to compute Shapley values, is utilized for elucidating the influential factors that affect shale gas production at both global and local scales. …”
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Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest by Mohsin Ali Khan, Shazim Ali Memon, Furqan Farooq, Muhammad Faisal Javed, Fahid Aslam, Rayed Alyousef

“…To avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in this study to develop an empirical model for the prediction of compressive strength of FGPC. …”
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