Accuracy of Mathematical Models and Process Simulators for Predicting the Performance of Gas-Separation Membranes by Yousef Alqaheem

“…In COCO, the membrane unit was developed by program coding with the external computational software, Scilab. …”
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Prediction of multi-type membrane proteins in human by an integrated approach. by Guohua Huang, Yuchao Zhang, Lei Chen, Ning Zhang, Tao Huang, Yu-Dong Cai

“…New metrics for evaluating performances of methods dealing with multi-label problems were also presented. The program of the method is available upon request.…”
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Modeling of Multihop Wireless Sensor Networks with MAC, Queuing, and Cooperation by Jian Lin, Mary Ann Weitnauer

“…To efficiently solve the models with high dimension, for the EC networks, we propose a novel computational algorithm by taking advantage of the stochastic shortest path structure of the problem; for the EH networks, we propose a dual linear programming based algorithm by considering the sparsity of the transition matrix. …”
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Offline Model Predictive Control Based on Weighted Projection over Polytopes by Fabio Andrade de Almeida

“…Finally, the control is computed considering the current state and disturbance vectors along with the feasible and attainable command. …”
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A METHOD OF PREDICTING BREAST CANCER USING QUESTIONNAIRES by V. N. Malashenko, A. V. Sgonnik

“…The completed developments allow to create a computer program for automated processing of profiles on the formation of groups at risk of breast cancer and clinical supervision. …”
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Proposing a Scheme for Human Interactive Proof Test sing Plasma Effect by Ali et al.

“…Human Interactive Proofs (HIPs) are automatic inverse Turing tests, which are intended to differentiate between people and malicious computer programs. The mission of making good HIP system is a challenging issue, since the resultant HIP must be secure against attacks and in the same time it must be practical for humans. …”
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Transforming organic chemistry research paradigms: Moving from manual efforts to the intersection of automation and artificial intelligence by Liu Chengchun, Chen Yuntian, Mo Fanyang

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Stochastic analysis of Ebola infection in small zoonotic niches by Sena Mursel, Paolo Bocchini, Javier Buceta

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Bacterial cheating drives the population dynamics of cooperative antibiotic resistance plasmids by Eugene A Yurtsev, Hui Xiao Chao, Manoshi S Datta, Tatiana Artemova, Jeff Gore

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Optimization Strategies for Auto-Berthing of Unmanned Surface Vessels Using Differential Homeomorphism and the Gauss Pseudospectral Method by Zehui Zhang

“…By discretizing the continuous optimal control problem into a nonlinear programming problem, the computational complexity is effectively reduced and the solution efficiency is improved. …”
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An overview of the activation functions used in deep learning algorithms by Mete Çelik, Kemal Adem, Serhat Kılıçarslan

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FORECASTING AND EXPERIMENTAL DETERMINATION OF DESTRUCTION IMPURITIES AND IN THE PHARMACEUTICAL COMPOSITION OF THE HYPOTENSIVE ACTION by E. V. Kompantseva, A. V. Babyak, Y. V. Mudretsova, A. A. Glushko

“…Determination results of impurities verapamil hydrochloride and lisinopril dihydrate using computer modeling and HPLC coupled with mass spectrometry (HPLC-MS) reported in this article. …”
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Research progress of artificial intelligence and machine learning in pulmonary embolism by Yue Li, Limin Zhang, Haoran Liu, Yanxia Li, Zhuo Liu

“…Artificial intelligence (AI) is a field of computer science that involves the development of programs and complex data analysis designed to replicate human cognitive processes. …”
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Heart rate variability: a practical review for the beginner by Ștefan-Claudiu MIRESCU, Andreea Loredana CIOCOIU, Leontin DAVID, Corneliu TARBA

“…Although classical ECG is a well-known and standardized clinical method, HRV developed abruptly due to the evolution of computerized data acquisition systems in cardiology (digital electrocardiographs) and their software programs. HRV can be evaluated by visual methods (the beat-to-beat tachogram, the histogram and the Poincaré diagram) or by statistically computed parameters. …”
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Efficiency of Dimensional Analysis in Predicting Compression Load–Settlement Relationship of Soft Clay Under a Rigid Foundation by Mustafa Tolun

“…The findings indicate that dimensional analysis produces reasonably successful outcomes considering the computational ease. In addition, the MATLAB program presented in this paper is quite useful for those desiring to determine the dimensionless terms belonging to any sort of problem.…”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Like the steam engine in the 18th century, electricity in the 19th century, and the Internet at the cusp of the 20th and 21st centuries, the modern era is undergoing a new revolution with the advent of Artificial Intelligence (AI). AI is a field of computer science which deals with the development of programs or computational models that are inspired by the human brain’s ability to learn and adapt.1 Perhaps the most prominent advancement AI contributes is generative AI, which has led to the development of robotic “human-like” tools that can generate text, audio, images, and even video with a simple prompt. …”
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A regional physical–biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0) by E. J. Drenkard, C. A. Stock, A. C. Ross, Y.-C. Teng, T. Cordero, W. Cheng, W. Cheng, A. Adcroft, A. Adcroft, E. Curchitser, R. Dussin, R. Dussin, R. Hallberg, C. Hauri, K. Hedstrom, A. Hermann, A. Hermann, M. G. Jacox, M. G. Jacox, K. A. Kearney, R. Pagès, D. J. Pilcher, D. J. Pilcher, M. Pozo Buil, V. Seelanki, V. Seelanki, N. Zadeh

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Understanding the Mechanism of Bent DNA Amplifying Sensors Using All-Atom Molecular Dynamics Simulations by Kaitlin Bullard, Deborah Okyere, Shelbi J. Foster, Asmaa A. Sadoon, Jiali Li, Jingyi Chen, Yong Wang

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The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations by Ruben Machucho, David Ortiz

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Reflected entropy in random tensor networks. Part III. Triway cuts by Chris Akers, Thomas Faulkner, Simon Lin, Pratik Rath

“…In particular, we prove that the Markov gap that measures tripartite entanglement is lower bounded by the integrality gap of the integer program that computes the triway cut.…”
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