Implementation of a Parallel Protein Structure Alignment Service on Cloud by Che-Lun Hung, Yaw-Ling Lin

“…This service includes a protein structure alignment algorithm, a refinement algorithm, and a MapReduce programming model. The refinement algorithm refines the result of alignment. …”
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The Hub Location and Flow Assignment Problem in the Intermodal Express Network of High-Speed Railways and Highways by Xiaoting Shang, Zhenghang Wang, Xin Cheng, Xiaoyun Tian

“…Owing to the NP-hard computational complexity, an improved genetic algorithm with local search is designed by combining the genetic operators and two optimization strategies to solve the problem effectively. …”
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An Efficient Pseudospectral Method for Solving a Class of Nonlinear Optimal Control Problems by Emran Tohidi, Atena Pasban, A. Kilicman, S. Lotfi Noghabi

“…After this stage, the linearized dynamical system is transformed into a multi domain dynamical system via computational interval partitioning. Moreover, the integral form of this multidomain dynamical system is considered. …”
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Exploring the Impact of Social Connection Dimensions on Cognitive Impairment in Older Adults: Observational Cohort Study by Eunjung Lim PhD, Matthew Uechi MD, Deborah A. Taira ScD, James Davis PhD, Kyle M. Ishikawa MS, Joseph Keawe‘aimoku Kaholokula PhD

“…In adults living in poverty, depression and computer use were most strongly linked to cognitive impairment. …”
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Enhanced Reliability Assessment in Distribution Network Planning via Optimal Double Q Strategy with Explicit Topology-Variable Consideration by J. Jiang, Q. Luo, Z. Xu, H. Li, C. Gao

“…Additionally, recognizing the discrete decision-making aspects of the planning issue, a mixed-integer linear programming model is developed. By utilizing the adaptive ε-constraint method, the study investigates the global Pareto frontier between reliability and cost, offering valuable decision-making support for planners. …”
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Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study by Sonia Baee, Jeremy W Eberle, Anna N Baglione, Tyler Spears, Elijah Lewis, Hongning Wang, Daniel H Funk, Bethany Teachman, Laura E Barnes

“…For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situations in less threatening ways on the web without requiring a therapist. …”
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Guest Editorial-SOLUTIONS OF CHILDHOOD OBESITY-AND-MALNUTRITION by Syed Arif Kamal

“…A year earlier, Collins et al. (2006) described programs for management of severe acute malnutrition in children. …”
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Sensor Mobility Control for Multitarget Tracking in Mobile Sensor Networks by Yinfei Fu, Le Yang

“…The optimization problem is relaxed as a convex programming problem for computational tractability and its solution is implemented in a distributed manner. …”
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Readiness for Perception and Action: Towards a More Mechanistic Understanding of Phasic Alertness by Christian H. Poth

“…As a result, the discussion provides us with a research program yielding the theoretical and empirical basis for mechanistic and computational models of phasic alertness and its neurophysiological underpinnings.…”
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BEASTling: A software tool for linguistic phylogenetics using BEAST 2. by Luke Maurits, Robert Forkel, Gereon A Kaiping, Quentin D Atkinson

“…BEASTling is intended to make the power of Bayesian analysis more accessible to historical linguists without strong programming backgrounds, in the hopes of encouraging communication and collaboration between those developing computational models of language evolution (who are typically not linguists) and relevant domain experts.…”
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Media and Information Literacy Among Brazilian K-12 Teachers: A Case Study at Guarujá Municipal Education System by Brasilina Passarelli, Alan César Belo Angeluci

“…An Innovation Ecosystem in Basic Education program was conceived in order to conduct the activities and needed to be adapted to fully digital circumstances due to the global COVID-19 emergency in 2020 and 2021. …”
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An advanced Successive Derivative Shortest Path algorithm for concave cost network flow problems by Lu Yang, Zhouwang Yang

“…Existing nonlinear programming methods addressing the CCNFP often suffer from low efficiency and high computational cost, limiting their practical application. …”
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Predictive Analysis of Cardiovascular Disease Risk Factors in Romania using Machine Learning and Medical Statistics by Radu-Anton MOLDOVAN, Sebastian-Aurelian ŞTEFĂNIGĂ

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Simultaneous Optimal Allocation of EVCSs and RESs Using an Improved Genetic Method by Majid Farjamipur, Hossein Lotfi, Mohammad Hassan Nikkhah

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Siamese and triplet network-based pain expression in robotic avatars for care and nursing training by Miran Lee, Minjeong Lee, Suyeong Kim

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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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