Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

“…Abstract This study aims to develop a machine learning model utilizing Computed Tomography (CT) values to predict systemic inflammatory response syndrome (SIRS) after endoscopic surgery for kidney stones. …”
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Predicting prosthetic gait and the effects of induced stiff-knee gait. by Gilmar F Santos, Eike Jakubowitz, Christof Hurschler

“…Experimental joint angles and moments were computed using OpenSim and muscle activity was measured using surface electromyography (EMG). …”
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Utility of Toll-Free Interactive Voice Response System (IVRS) Helpline under National Oral Health Program (NOHP) - A Cross-Sectional Hospital Based Study by Utkal K. Mohanty, Swapna Sarit, Gaurav Sharma, Jayanta K. Dash

“…Statistical Analysis: Descriptive statistics with proportions were calculated and Chi-square was computed, P < 0.05 was considered significant for all statistical inferences. …”
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Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application by Miguel Ángel Castán-Lascorz, Antonio Alcaide-Moreno, Jorge Arroyo

“…This study introduces a real-world metaheuristic application designed to minimize the simulation errors of a novel one-dimensional (1D) numerical model of a rotary cement kiln, calibrated by Computational Fluid Dynamics (CFD) results. This model aims to significantly reduce simulation time, facilitating the analysis of multiple scenarios. …”
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Postprogression therapy and confounding for the estimated treatment effect on overall survival in phase III oncology trials by Pavlos Msaouel, Ramez Kouzy, Joseph Abi Jaoude, Ethan B Ludmir, Alexander D Sherry, Timothy A Lin, Esther J Beck, Avital M Miller, Adina H Passy, Gabrielle S Kupferman, Eugene J Koay, Clifton David Fuller, Charles R Thomas, Zachary R McCaw

“…Logistic regressions computed ORs for the association between trial-level covariates and the outcome.Results A total of 334 phase III trials enrolling 265 310 patients were included, with publications between 2004 and 2020. …”
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Effects of heat generation and absorption on thermal radiative MHD flow of chemically reacting Casson nanofluids over a wedge by S. Venkateswarlu, B. Hari Babu, M. Veera Krishna

“…To vindicate the current analysis, the computational outputs are comparing by the previous available works which is accessible in the literature and they determined to be in the good concurrence. …”
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Features of online sociological studies of risks of financial behavior of the population in the information and communication network Internet by M. Kibakin

“…Separately, the characteristic of the obtained primary sociological data has been given by the method of technological access – analysis of blogs, the use of search engines for keywords, the inclusion of intelligent monitoring systems and analysis of social media, which are implemented either on stationary or mobile computer devices. The types of primary data on the format of communications have been adduced: advertising, network, vertically structured, horizontal, as well as the degree of reliability: “a sufficient level of reliability”, “doubtful information”, “unreliable information”. …”
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Impact Angle Control of Local Intense dB/dt Variations During Shock‐Induced Substorms by Denny M. Oliveira, James M. Weygand, Eftyhia Zesta, Chigomezyo M. Ngwira, Michael D. Hartinger, Zhonghua Xu, Barbara L. Giles, Daniel J. Gershman, Marcos V. D. Silveira, Vítor M. Souza

“…Strong field‐aligned currents computed with the spherical elementary current system (SECS) technique occur in both cases, but the current variations resulting from the inclined shock impact are weaker and slower compared to the nearly frontal case. …”
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A Study of the Star Clusters’ Population in the Giant Molecular Cloud G174+2.5 by Tatyana A. Permyakova, Giovanni Carraro, Anton F. Seleznev, Andrej M. Sobolev, Dmitry A. Ladeyschikov, Maria S. Kirsanova

“…For four clusters in particular (S235 North-West, S235 A-B-C, S235 Central, and S235 East1+East2), we were able to compute individual membership probabilities, the cluster distances, the cluster masses, and their average proper motions. …”
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Do all traumatic hemothorax require a tube thoracostomy: A retrospective review by Paul Yohan George, Vijayan Purushothaman, Kirthi Sathyakumar, Vignesh Kumar

“…Those who had ICD inserted in the emergency department before computed tomography (CT) and those who did not have a CT Thorax were excluded. …”
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Calculation of the molecular properties of five cephalosporins: cephradine, cephalexin, cefadroxil, cefprozil and ceftobiprole by Elso Manuel Cruz Cruz, Eslhey María Sánchez Domínguez

“…All calculations were run on personal computers belonging to the Medical Sciences University of Las Tunas, from November 2009 to March 2010. …”
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Orienting attention to auditory and visual working memory in older adults with cochlear implants. by Amisha Ojha, Andrew Dimitrijevic, Claude Alain

“…Participants completed a cognitive task called the delayed match-to-sample task in which a visual gradient was presented on a computer screen and a piano tone was presented through speakers simultaneously. …”
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Predicting Neoplastic Gallbladder Polyps: The Role of Current Surgical Indications and Preoperative Images by Ik Hyun Jo, Chang Nyol Paik, Hong Geun Ahn, Dong Do You, Jae Hyun Han, Hyun A Kim

“…The optimal cutoff polyp size for neoplastic polyps by ultrasound (US) was larger than by computed tomography (CT) (12 mm vs. 10 mm). The proportion of pathologic neoplastic polyps was higher when both US and CT images were used than that predicted using a single test. …”
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Channel Mixer Layer: Multimodal Fusion Toward Machine Reasoning for Spatiotemporal Predictive Learning of Ionospheric Total Electron Content by Peng Liu, Tatsuhiro Yokoyama, Takuya Sori, Mamoru Yamamoto

“…Experiment results suggest that the multimodal fusion prediction of existing model backbones by proposed method improves the prediction accuracy up to 15% with almost the same computational complexity compared to that of graphic prediction without auxiliary factors input, having the real‐time inference speed of 34 frames/second and minimum mean absolute error of 0.94/2.63 TEC unit during low/high solar activity period respectively. …”
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Subsurface Geosciences Learning in Virtual Reality: A Case Study in Central Luconia Province, Malaysia by Grisel Jiménez, Abdul Halim Latiff, Katja Schulze

“…During this study, the undergraduate Petroleum Geoscience students transitioned from 2D computer screen visualizations to immersive XR tools. …”
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Modeling of the COVID-19 Cases in Gulf Cooperation Council Countries Using ARIMA and MA-ARIMA Models by Rahmatalla Yagoub, Hussein Eledum

“…The data analyzed in this study covered the period starting from the first case of coronavirus reported in each GCC country to Jan 31, 2021. To compute the best parameter estimates, each model was fitted for 90% of the available data in each country, which is called the in-sample forecast or training data, and the remaining 10% was used for the out-of-sample forecast or testing data. …”
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Laboratory information systems for research management in biology by A. M. Mukhin, F. V. Kazantsev, S. A. Lashin

“…Their application to the organization of scientific activity helps to manage the flow of actions and data, allowing all participants to work with relevant information and solving the issue of reproducibility of both experimental and computational results. The article describes methods for organizing data flows within a team, principles for organizing metadata and ontologies. …”
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Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement by Fazal-E -Wahab, Zhongfu Ye, Nasir Saleem, Hamza Ali, Imad Ali

“…Deep learning (DL) networks have grown into powerful alternatives for speech enhancement and have achieved excellent results by improving speech quality, intelligibility, and background noise suppression. Due to high computational load, most of the DL models for speech enhancement are difficult to implement for realtime processing. …”
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In silico study about β-amyloid’s role in Alzheimer’s disease and glaucoma and prediction of its interactions with glaucoma related proteins by Nancy Maurya

“…Methods: The study involved determination of feasibility of interaction between β-amyloid and well known glaucoma related proteins namely, myocilin and optineurin. The computational tool called Hex 8.0.0 has been used in this work. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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