Evolutions of Anisotropic Hydraulic Properties of Rough-Walled Rock Fractures under Different Shear Displacements by Dapeng Lu

“…The results show that the hydraulic gradient (J) shows an increasing trend with the increment of σn. …”
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Modeling Autonomous Vehicles’ Altruistic Behavior to Human-Driven Vehicles in the Car following Events and Impact Analysis by Wenyun Tang, Le Xu, Jianxiao Ma

“…The different driving strategies obtained from the classical car following models were embedded into virtual environment built by OpenAI gym. The reward function combined safety, efficiency, jerk, and stability was used to encourage the agent with DDPG algorithm to maximize it. …”
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Methodologies for Improved Optimisation of the Derivative Order and Neural Network Parameters in Neural FDE Models by Cecília Coelho, M. Fernanda P. Costa, Oliver Niggemann, Luís L. Ferrás

“…One approach is based on regulating the gradient magnitude of the loss function with respect to <inline-formula><math display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>, encouraging more stable and effective updates. …”
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Modeling of settlement of shallow-founded rocking structures using explainable physics-guided machine learning by Sivapalan Gajan, Christopher Kantor

“…An approximate physics-based model (PBM) is derived for rocking-induced total settlement as a function of critical contact area ratio and cumulative rotation of the foundation. …”
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Exploiting Contextual Word Embedding of Authorship and Title of Articles for Discovering Citation Intent Classification by Muhammad Roman, Abdul Shahid, Muhammad Irfan Uddin, Qiaozhi Hua, Shazia Maqsood

“…It is essential to understand the reason for citation, called citation intent or function. Text information can contribute well if new natural language processing techniques are applied to capture the context of text data. …”
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A Model-Driven Approach for Estimating the Energy Performance of an Electric Vehicle Used as a Taxi in an Intermediate Andean City by Jairo Castillo-Calderón, Daniel Cordero-Moreno, Emilio Larrodé Pellicer

“…Data acquisition was performed through the OBDII port of the KIA SOUL EV for 24 days and the variable mass of the vehicle was recorded as a function of the number of passengers; the effects of road gradient were also considered. …”
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Accelerating Training of Convolutional Neural Networks With Hessian-Free Optimization for Detecting Alzheimer&#x2019;s Disease in Brain MRI by Marios Pafitis, Maria Constantinou, Chris Christodoulou

“…CNN models are usually optimized with first-order algorithms, e.g. stochastic gradient descent (SGD) and adaptive momentum (Adam), which are susceptible to pathological curvature of the objective function. …”
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A multi-scale evaluation of pack stock effects on subalpine meadow plant communities in the Sierra Nevada. by Steven R Lee, Eric L Berlow, Steven M Ostoja, Matthew L Brooks, Alexandre Génin, John R Matchett, Stephen C Hart

“…However, finer-scale within-meadow responses such as increased bare ground or spatial variability in the plant community can be a function of local-scale hydrological conditions. Wilderness managers can improve monitoring of disturbance in Sierra Nevada meadows by adopting multiple plant community indices while simultaneously considering local moisture regimes.…”
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siRNA Treatment Enhances Collagen Fiber Formation in Tissue-Engineered Meniscus via Transient Inhibition of Aggrecan Production by Serafina G. Lopez, Lara A. Estroff, Lawrence J. Bonassar

“…The complex collagen network of the native meniscus and the gradient of the density and alignment of this network through the meniscal enthesis is essential for the proper mechanical function of these tissues. …”
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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

“…Operating at this level regularizes the objective function. Low cost is achieved by the simplex updating strategy requiring only one EM analysis per iteration, and multi-resolution simulations. …”
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Comparison of Different Machine Learning Methodologies for Predicting the Non‐Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials by Roberto Gomeni, Françoise Bressolle‐Gomeni

“…Treatment effect in randomized, placebo‐controlled trials, is usually estimated by the mean baseline adjusted difference of treatment response in active and placebo arms and is function of treatment‐specific and non‐specific effects. …”
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A Deep Reinforcement Learning Approach for Portfolio Management in Non-Short-Selling Market by Ruidan Su, Chun Chi, Shikui Tu, Lei Xu

“…A loss penalty term is also designed in the reward function to prevent sharp drawdown during trading. …”
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Study on Influence of Configuration of Bulges on Stall Characteristics of Two-Element Wingsails for Ships by Chen Li, Binxin Wu, Huabing Wen, Junfu Yuan

“…Based on biomimetic design, the bulge model was developed to mimic this function through cubic B-spline curve fitting, aiming to improve the stall performance of the two-element wingsail. …”
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Nicotine alters cellular activity and mRNA expression of patterns of Astrocytes. by Leslie Sewell, James J Cray

“…These results suggest that nicotine disrupts astrocyte function and inflammatory balance, which may contribute to neurodevelopmental disruptions and heightened neuroinflammatory risks in adults. …”
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COMPARATIVE ANALYSIS OF DOUBLE DEEP Q-NETWORK AND PROXIMAL POLICY OPTIMIZATION FOR LANE-KEEPING IN AUTONOMOUS DRIVING by Ariful Islam Sabbir

“… Lane-keeping is a vital function in autonomous driving, important for vehicle safety, stability, and adherence to traffic flow. …”
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Protective Effects of Gardenia Fruit Derived Exosome-like Nanoparticles Towards Rotenone-induced Damage in PC12 Cells by Haobo WANG, Yan WANG, Zhouzhe LAN, Weikang SHEN, Chunlian QIN, Wen CHEN, Lizhou XU

“…This elevation might be related to the promotion of mitochondrial biosynthesis and the improvement of its function by GDENs, thereby contributing to the energy metabolism and function maintenance of cells. …”
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Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation by Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

“…MethodsThis study obtained spirometry and lung volume measurements from the Mayo Clinic pulmonary function test database for patient visits between February 19, 2001, and December 16, 2022. …”
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Controlled Synthesis of TiB2-TiC Composite: Substantiation of the Homogenizing Joule Thermostatting Efficiency and Improvement of SHS-Compaction Technology in a Vacuum by Gigo Jandieri, David Sakhvadze

“…For this purpose, an improved technological approach is proposed, which is based on the known method of SHS-compacting but differs by the possibility of controlled Joule influence on the synthesis products, which is achieved by the use of a special electrothermal vacuum press-mold functioning according to a particular control algorithm. …”
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Optimizing Knowledge Transfer Graph for Deep Collaborative Learning by Soma Minami, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

“…Furthermore, specialized loss functions are proposed that incorporate five distinct gate functions to dynamically control gradient propagation and thereby enable a richer set of knowledge transfer strategies. …”
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Deriving structure from evolution: metazoan segmentation by Paul François, Vincent Hakim, Eric D Siggia

“…Our computation illustrates how complex traits can evolve by the incremental addition of new functions on top of pre‐existing traits.…”
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