A mixed methods study of faculty experiences in a course design institute by Carie N Cardamone, Heather Dwyer

“…., Zoom, Canvas, Google Docs) facilitated interactions among participants and preserved their ideas and perspectives throughout the program. Using a grounded theory analysis approach attentive to the participants’ words, the authors uncovered participants’ experiences and their perspectives on the structures that shaped those experiences. …”
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Cons-training tensor networks: Embedding and optimization over discrete linear constraints by Javier Lopez-Piqueres, Jing Chen

“…In this study, we introduce a novel family of tensor networks, termed constrained matrix product states (MPS), designed to incorporate exactly arbitrary discrete linear constraints, including inequalities, into sparse block structures. These tensor networks are particularly tailored for modeling distributions with support strictly over the feasible space, offering benefits such as reducing the search space in optimization problems, alleviating overfitting, improving training efficiency, and decreasing model size. …”
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An Improved GPU-accelerated MPM and Application in Landslide Modelling by WANG Bin, CHEN Penglin, WANG Di, XU Shunxin, XU Zikai, WU Jindong

“…This study proposes an improved GPU acceleration strategy for MPM by incorporating modular programming concepts, efficient data structures, and data competition handling methods to establish a high-performance and easily extendable program architecture. …”
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Advocacy for DOHaD research optimizing child kidney health by You-Lin Tain

“…However, the intricate kidney programming mechanisms underlying these risks remain complex and are incompletely understood, but they are rooted in structural and functional alterations within the kidneys. …”
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New Robust Regularized Shrinkage Regression for High-Dimensional Image Recovery and Alignment via Affine Transformation and Tikhonov Regularization by Habte Tadesse Likassa, Wen Xian, Xuan Tang

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Intelligent decision making system of department of medical institutions based on neural network, production and statistical models by O. I. Fedyaev, V. S. Bakalenko

“…The  article  describes  the  development   of  information-analytical system of decision-making in the treatment  of abdominal  organs of patients. The  structure of the system provides for the formation  of a preliminary  diagnosis of the  patient’s  condition  based  on a neural network  and statistical analysis of the electronic medical record. …”
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Analysis of arrhythmic episodes in patients with implanted cardioverter defibrillators and a high risk of sudden cardiac death by A. S. Postol, N. M. Neminushchi, A. V. Ivanchenko, V. V. Lyashenko, S. A. Mishanin, А. B. Vygovsky, Yu. A. Schneider

“…To analyze arrhythmic events, according to the programming data of implanted cardioverter defibrillators (ICD), with the view of minimizing shock effects.Material and methods. …”
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Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…The class diagram made it possible to define the structure of the system and the relationships between its objects, as well as an overview of the attributes and operations of the identified classes. …”
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Data-Driven Approximated Optimal Control of Sulfur Flotation Process by Mingfang He

“…For a sulfur flotation cell, the structure of the system model could be derived using first-principles and reaction kinetics. …”
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Nonlinear mixed-effects models to analyze actin dynamics in dendritic spines by Gioia Di Credico, Silvia Pelucchi, Francesco Pauli, Ramona Stringhi, Elena Marcello, Valeria Edefonti

“…Abstract Fluorescence recovery after photobleaching (FRAP) allows to study actin-turnover in dendritic spines by providing recovery trajectories over time within a nested data structure (i.e. spine/neuron/culture). Statistical approaches to FRAP usually consider one-phase association models to estimate recovery-curve-specific parameters and test statistical hypotheses on curve parameters either at the spine or neuron level, ignoring the nested data structure. …”
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JAX-BTE: a GPU-accelerated differentiable solver for phonon Boltzmann transport equations by Wenjie Shang, Jiahang Zhou, J. P. Panda, Zhihao Xu, Yi Liu, Pan Du, Jian-Xun Wang, Tengfei Luo

“…Validation is performed across a range of 1D to 3D simulations, including complex FinFET structures, in both forward and inverse settings, demonstrating excellent performance and reliability. …”
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The Alliance of BIM and Artificial Intelligence: Challenges for a Reinvented Future – The State of the Art by Ellyssa Abdelmoula, Meriem Zammel, Najla Allani

“…Despite the progress made in integrating BIM and AI, challenges remain, such as interoperability between different platforms and data structures, as well as concerns over data security concerns when AI algorithms are applied in construction projects. …”
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Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

“…Based on the geological structure characteristics of red-layered soft rocks in central Yunnan, the anisotropic rock random field and tunnel excavation with different rotation angles are simulated. …”
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Self-checking principle and design of ternary Berger code by Zhang Sulan, Shen Yunfu

“…Abstract With the gradual maturity of the hardware and programming platform of Ternary optical computer (TOC), TOC gradually enters the practical application stage. …”
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Using the Ethereum Blockchain in the Internet of Things Network for IT Diagnostics by U. A. Vishniakou, YiWei Xia, Chuyue Yu

“…An integrated system architecture has been developed that combines the IoT network, the IPFS (InterPlanetary File System) file structure with the Ethereum blockchain to create a reliable data storage model. …”
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Hardware and software implementation of data acquisition system by А. П. Самiла

“…For nuclear spin induction visualization and data signal processing using graphical tools of the object-oriented programming a LabVIEW virtual instrument is synthesized. …”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE FEATURE SELECTION <italic>k</italic>-SUB CONVEX HULL by HU AiRu, WU ZhanTao, YANG Yu, CHENG JunSheng

“…Firstly, the convex hull distance function was used to maintain the local neighborhood structure on the data manifold, and the feature weight matrix was obtained by alternately constructing <italic>k</italic>-sub convex hulls. …”
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Symplectic machine learning model for fast simulation of space-charge effects by Jinyu Wan, Ji Qiang, Yue Hao

“…By maintaining symplecticity, the model effectively preserves the phase-space structure and mitigates nonphysical errors in long-term simulations. …”
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UPDATING SOIL TYPES DIFFERENCES OF ERODED SLOPE LANDS WITH DIGITAL ELEVATION MODEL (DEM) by Valerii KOLIADA, Pavlo NAZAROK

“…The purpose of this work is to demonstrate the algorithm of actions for modern erosion-combating optimization of the land use structure by the example of a specific 30.01 ha study area with the help of updating the eroded soil type differences. …”
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Movement Disorders and Neuromodulation by Edward A. Shipton

“…High-frequency DBS leads to a kind of functional deafferentation of the stimulated structure and to the modulation of cortical activity. …”
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