Bayesian Workflow for Generative Modeling in Computational Psychiatry by Alexander J. Hess, Sandra Iglesias, Laura Köchli, Stephanie Marino, Matthias Müller-Schrader, Lionel Rigoux, Christoph Mathys, Olivia K. Harrison, Jakob Heinzle, Stefan Frässle, Klaas Enno Stephan

“…Computational (generative) modelling of behaviour has considerable potential for clinical applications. …”
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Develoment of The Computer Simulation of Oscillation in Physics Learning by Y Sumardi, A F Amalia, U N Prabowo

“…This research aimed to develop the computer simulation of oscillation in physics learning by using MATLAB. …”
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Enforcing interface field continuity to advance finite element approximations in heterogeneous materials by Hyesun Na, Eunjung Lee

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An Area-Efficient Continuous-Time Ising Machine Featuring Dynamic Threshold Annealing by Yufeng Wu, Xiaofeng Li, Jiayin Song, Yi Zhan, Shushan Qiao

“…In this work, we present a CT Ising machine with an eDRAM-based in-memory computing architecture. The design introduces a neighboring spin computation-sharing architecture that halves the storage overhead of interaction coefficients, thereby significantly reducing the spin cell area. …”
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Linked Data Lineage as a foundation of continuous data integration and modern data governance by Georgiana Calancea, Lenuta Alboaie, Inga Titchiev

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A relativistic continuous matrix product state study of field theories with defects by Karan Tiwana, Edoardo Lauria, Antoine Tilloy

“…Abstract We propose a method to compute expectation values in 1+1-dimensional massive Quantum Field Theories (QFTs) with line defects using Relativistic Continuous Matrix Product State (RCMPS). …”
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Low-power quasi-continuous hybrid volatile/nonvolatile tuning of ring resonators by Jayita Dutta, Rui Chen, Virat Tara, Arka Majumdar

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Entanglement of photonic modes from a continuously driven two-level system by Jiaying Yang, Ingrid Strandberg, Alejandro Vivas-Viaña, Akshay Gaikwad, Claudia Castillo-Moreno, Anton Frisk Kockum, Muhammad Asad Ullah, Carlos Sánchez Muñoz, Axel Martin Eriksson, Simone Gasparinetti

“…Abstract The ability to generate entangled states of light is a key primitive for quantum communication and distributed quantum computation. Continuously driven sources, including those based on spontaneous parametric downconversion, are usually probabilistic, whereas deterministic sources require accurate timing of the control fields. …”
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Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning by Chengping Chai, Omar Marcillo, Monica Maceira, Junghyun Park, Stephen Arrowsmith, James O. Thomas, Joshua Cunningham

“…With advances in machine learning and computing power, new opportunities have emerged to explore the seismic wavefield in these complex environments. …”
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Measuring Consumers' Continuance Usage Intention to Use Airline Websites in Saudi Arabia by Humera Khan, Faouzi Ayadi, Muhammad Tanveer

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Multidisciplinary teams involved: detection of drug-related problems through continuity of care by Elena Yaiza Romero-Ventosa, Marisol Samartín-Ucha, Alicia Martín-Vila, María Lucía Martínez-Sánchez, Isabel Rey Gómez-Serranillos, Guadalupe Pineiro-Corrales

“…Objective: To quantify Drug-Related problems (DRPs) by establishing a Strategic Continuity of Care Program (e-Conecta- Concilia Program; e-CC) focused on the drug therapy of patients within an Integrated Management Structure, in order to guarantee the therapeutical efficiency, safety and traceability of patients. …”
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Convolutional Neural Networks for Continuous QoE Prediction in Video Streaming Services by Tho Nguyen Duc, Chanh Tran Minh, Tan Phan Xuan, Eiji Kamioka

“…Meanwhile, Temporal Convolutional Network (TCN), a variation of convolutional neural networks, has recently been proposed for sequence modeling tasks (e.g., speech enhancement), providing a superior prediction performance over baseline methods including LSTM in terms of prediction accuracy and computational complexity. Being inspired of that, in this paper, an improved TCN-based model, namely CNN-QoE, is proposed for continuously predicting the QoE, which poses characteristics of sequential data. …”
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Application of classical numerical methods in the calculation of solidification modes of a continuous ingot by V. I. Timoshpolsky, E. I. Marukovich, I. A. Trusova

“…This paper presents approaches to the computational analysis of solidification and cooling processes of continuously cast billets in order to improve and develop technological modes in the conditions of modern continuous casting machines using FEM.The application of modern numerical methods for solidification and cooling of workpieces on continuous casting machines is considered. …”
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A Continuously Tunable Silicon Double-Microring Filter With Precise Temperature Tracking by Yang Ren, David Perron, Fnu Aurangozeb, Zhiping Jiang, Masum Hossain, Vien Van

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Partial Regularity for Nonlinear Subelliptic Systems with Dini Continuous Coefficients in Heisenberg Groups by Jialin Wang, Pingzhou Hong, Dongni Liao, Zefeng Yu

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Deriving analytical solutions using symbolic matrix structural analysis for continuous beams by Vagelis Plevris, Afaq Ahmad

“…Abstract This study investigates the use of symbolic computation in Matrix Structural Analysis (MatSA) for continuous beams, using the MATLAB Symbolic Math Toolbox. …”
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The method for approximate continuous Skyline query based on privacy protection in road network by Song Li, Xiaolong Yang, Liping Zhang, Guanglu Sun

“…These tools help to swiftly process continuous queries. The method minimizes redundant computations. …”
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Practical continuous-variable quantum secret sharing using local local oscillator by Qin Liao, Zhuoying Fei, Lei Huang, Xiquan Fu

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Capacity Expansion and Reliability Evaluation on the Networks Flows with Continuous Stochastic Functional Capacity by F. Hamzezadeh, H. Salehi Fathabadi

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Learning the continuous-time optimal decision law from discrete-time rewards by Chen Ci, Xie Lihua, Xie Kan, Lewis Frank Leroy, Liu Yilu, Xie Shengli

“…We find that the discrete-time reward leads to the extraction of the unique continuous-time decision law and improved computational efficiency by dropping the integrator operator that appears in classical results with integral rewards. …”
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