Results 71 to 80 of about 28,744 (310)

Iterative Arrangements of the MSCFP for Strictly Pseudocontractive Mappings

Journal of Function Spaces, 2022
In this paper, we consider the multiple-set split common fixed point problem in Hilbert spaces. We first study a couple of critical properties of strictly pseudocontractive mappings and particularly the property under mix activity.
Lin Xue, Huanhuan Cui
doaj   +1 more source

Integrated Single‐Cell and Spatial Analysis Reveals a Metabolic‐Immune Axis Driving Aortic Dissection

Advanced Science, EarlyView.
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao, Huanjie Yang, Jiahui Yong, Xueting Chen, Qiang Zhao, Xueli Wu, Lei Yan, Li Pang, Fan Luo, Mengjun Yu, Shanshan Pan, Deyang Li, Rouxi Chen, Juan Wang, Zhensheng Dong, Fan Yang, Yue Wang, Yang Chen, Hongjian Zheng, Zhimin Yang, Zijie Wang, Karsten Kristiansen, Hui Peng, Xiaodong Fang, Juan Shen, Yining Yang   +25 more
wiley   +1 more source

Evaluation of the lasso and the elastic net in genome-wide association studies

Frontiers in Genetics, 2013
The number of publications performing genome-wide association studies (GWAS) has increased dramatically. Penalized regression approaches have been developed to overcome the challenges caused by the high dimensional data, but these methods are relatively ...
Patrik eWaldmann, Patrik eWaldmann, Gábor eMészáros, Birgit eGredler, Christian eFürst, Johann eSölkner   +5 more
doaj   +1 more source

Online Students’ Learning Behaviors and Academic Success: An Analysis of LMS Log Data From Flipped Classrooms via Regularization

IEEE Access, 2022
The main purpose of this study was to demonstrate the uses of regularization, a machine learning technique, in exploring important predictors for online student success.
Jin Eun Yoo, Minjeong Rho, Yekyung Lee
doaj   +1 more source

Sparsity-accuracy trade-off in MKL [PDF]

, 2009
We empirically investigate the best trade-off between sparse and uniformly-weighted multiple kernel learning (MKL) using the elastic-net regularization on real and simulated datasets.
Suzuki, Taiji, Tomioka, Ryota
core  

Mechanically Adaptive Polyimide Interfaces for Stable High‐Voltage NCM–Sulfide All‐Solid‐State Batteries

Advanced Science, EarlyView.
A mechanically adaptive polyimide interface dynamically stabilizes single‐crystal cathodes in sulfide all‐solid‐state batteries. By integrating robust chemical coordination with viscoelastic compliance, this smart coating suppresses parasitic reactions and accommodates cyclic volume expansion.
Jiatao Wu, Wenjin Li, Rui Wang, Peng Wang, Kaiyuan Deng, Chengshuai Chang, Chuan Xie, Lei Yao, Guangliang Gary Liu   +8 more
wiley   +1 more source

Spatial and Time-Series 4D Infrared Gas Cloud Imaging Reconstructed from Infrared Images Measured in Multiple Optical Paths

Engineering Proceedings, 2023
Current gas leak detection systems rely on the human senses and experience. It is necessary to develop remote and wide-range gas leak monitoring systems that enable us to quantitatively estimate the gas concentration distribution and amount of leaked gas.
Takuma Aoki, Shogo Ohka, Daiki Shiozawa, Yuki Ogawa, Takahide Sakagami, Shiro Kubo   +5 more
doaj   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Learning Credible Models

, 2018
In many settings, it is important that a model be capable of providing reasons for its predictions (i.e., the model must be interpretable). However, the model's reasoning may not conform with well-established knowledge. In such cases, while interpretable,
Lipton Zachary C, Silva Ikaro, Sun Jimeng, Velikova Marina, Wiens Jenna, Zhao Peng   +5 more
core   +1 more source