Results 131 to 140 of about 48,550 (262)

Impact of regularization methods and outlier removal on unsupervised sample classification. [PDF]

BMC Bioinformatics
Heckman C.
europepmc   +1 more source

ROS Self‐Supply Nanoplatform Based on Fenton Catalyst for Chemodynamic and Immunotherapy: Reprogramming Cold Tumor Into Hot Tumor in Cancer Treatment

Advanced Science, EarlyView.
A multifunctional HA‐conjugated nanoplatform (HA‐PGMC) integrates CuO2, glucose oxidase, and mil‐100 to enable cascade catalytic ROS generation in tumor microenvironments. This self‐supplying ROS strategy induces immunogenic cell death, reprograms “cold” tumors into “hot” ones, and synergizes with PD‐L1 blockade, achieving potent chemodynamic ...
Man Lung Lee, Jack Chun Hin Chen, Wai Wing Cheng, Kwan Yee Lau, Hiu Yee Kwan, Ngar‐Yun Ellen Poon, Hung‐Wing Li   +6 more
wiley   +1 more source

Spatially divided outlier removal for LiDAR de-noising in adverse weather conditions. [PDF]

Sci Rep
Shin S, Joo J, Lee H, Kim SC.
europepmc   +1 more source

A Clinical Study of Decellularized Tissue Engineering Hyaline Cartilage Graft (dLhCG) for Articular Cartilage Repair

Advanced Science, EarlyView.
ABSTRACT Current clinical approaches for knee cartilage repair are often limited by hypertrophy and fibrosis in the regenerated tissues. A decellularized tissue‐engineered hyaline cartilage graft (dLhCG), composed of a type II collagen‐based extracellular matrix, has been developed to overcome this limitation.
Zhen Zhang, Gong Cheng, Wenyong Fei, Qiuzhen Liang, Liang Zhang, Kegui Liu, Jihang Dai, Bo Cong, Xu Hu, Zhonglian Wu, Jialu Zhang, Jinlan Cui, Hang Yao, Dong‐An Wang, Jingcheng Wang, Tao Sun, Jiang Zheng   +16 more
wiley   +1 more source

Density-equalized RANDT scan matching with integrated outlier removal and point density uniformity. [PDF]

PLoS One
Johnson A, Subramaniam U, Kim H, J DU.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Nonlinear dynamic analysis of shear- and torsion-free rods using isogeometric discretization and outlier removal. [PDF]

Comput Mech
Nguyen TH, Roccia BA, Hiemstra RR, Gebhardt CG, Schillinger D.   +4 more
europepmc   +1 more source

Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy

Advanced Science, EarlyView.
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim, Hyeondeok Shin, Kyungju Nam, Seunghyo Noh, Donghwi Kim, Yousung Jung   +5 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source