Results 61 to 70 of about 145,710 (264)

Expandable Nanocomposite Shape‐Memory Hemostat for the Treatment of Noncompressible Hemorrhage

Advanced Science, EarlyView.
A nanocomposite‐coated shape memory foam rapidly expands, accelerates clotting, and reduces blood loss in vivo. Its fast volumetric expansion and strong procoagulant activity make it a promising hemostat for treating deep, noncompressible hemorrhage.
Saptarshi Biswas, Sarah E. Miller, Shounak Roy, Jeevika Thazhaiselvam, Samantha Foster, Manivannan Sivaperuman Kalairaj, Sasha M. George, Yava Jones‐Hall, Staci J. Horn, Fred J. Clubb, Taylor H. Ware, Duncan J. Maitland, Akhilesh K. Gaharwar   +12 more
wiley   +1 more source

Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods

Frontiers in Public Health, 2022
BackgroundMachine learning (ML) algorithms play a key role in estimating dental age. In this study, three ML models were used for dental age estimation, based on different preprocessing methods.AimThe seven mandibular teeth on the digital panorama were ...
Shihui Shen, Shihui Shen, Shihui Shen, Shihui Shen, Shihui Shen, Shihui Shen, Xiaoyan Yuan, Xiaoyan Yuan, Xiaoyan Yuan, Xiaoyan Yuan, Xiaoyan Yuan, Xiaoyan Yuan, Jian Wang, Jian Wang, Jian Wang, Jian Wang, Jian Wang, Jian Wang, Linfeng Fan, Linfeng Fan, Linfeng Fan, Linfeng Fan, Linfeng Fan, Linfeng Fan, Junjun Zhao, Junjun Zhao, Junjun Zhao, Junjun Zhao, Junjun Zhao, Junjun Zhao, Jiang Tao, Jiang Tao, Jiang Tao, Jiang Tao, Jiang Tao, Jiang Tao   +35 more
doaj   +1 more source

Divergent Responses of Bacterial Communities to Permafrost Degradation and Their Associations With Carbon Across Vertical Profiles

Advanced Science, EarlyView.
Bacterial α‐diversity decreases, but stochasticity and community stability increase across the 15 m‐depth vertical profiles and along the degraded gradient within the active layer. The abundance and interaction of core taxa mainly control community stability in the active and permafrost layers, respectively.
Shengyun Chen, Yuzheng Gu, Ali Bahadur, Enyan Liu, Tonghua Wu, Xiaofan Zhu, Yuanqiang Zou, Hewei Liang, Peijie Wei, Linwei Wu, Qingbai Wu, Peizhi Yang, Hongyan Yu, Yunfeng Yang   +13 more
wiley   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

A Prediction System of Dengue Fever Using Monte Carlo Method

Emitter: International Journal of Engineering Technology, 2016
Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year.
Mochammad Choirur Roziqin, Achmad Basuki, Tri Harsono   +2 more
doaj   +3 more sources

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Pest and Disease Prediction and Management for Sugarcane Using a Hybrid Autoregressive Integrated Moving Average—A Long Short-Term Memory Model

Agriculture
This study introduces a hybrid AutoRegressive Integrated Moving Average (ARIMA)—Long Short-Term Memory (LSTM) model for predicting and managing sugarcane pests and diseases, leveraging big data for enhanced accuracy.
Minghui Wang, Tong Li
doaj   +1 more source

Maternal Preconception Antibiotic Exposure Disrupts Microbial Succession: A Transgenerational Risk for Offspring Gut Mucosal Immaturity and Colitis Susceptibility

Advanced Science, EarlyView.
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen, Ruqiao Duan, Cunzheng Zhang, Gaonan Li, XiaoLin Ji, Qi Zhang, Fei Pei, Kun Wang, Liping Duan   +8 more
wiley   +1 more source

Low-Complexity Channel Estimation in Large-Scale MIMO using Polynomial Expansion

, 2013
This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems, also known as "massive MIMO".
Bengtsson, Mats, Björnson, Emil, Debbah, Mérouane, Shariati, Nafiseh   +3 more
core   +3 more sources

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source