Results 171 to 180 of about 1,762 (213)

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Mechanical response design of arch seat foundation under complex traffic loading. [PDF]

PLoS One
Xia D, Liu G, Zhang D, Luo T.
europepmc   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source

0.91 V reference, 3.3 ppm/°C Sub-BGR with second-order compensation and improved PSRR. [PDF]

Sci Rep
Ganesh C, S SK, Shanthi A, Vali SS.
europepmc   +1 more source

Optical‐to‐Microcomb Stability Transfer for Ultrastable Timing and Microwave/Millimeter‐Wave Generation

Laser &Photonics Reviews, EarlyView.
This work demonstrates a high‐fidelity stability transfer from an optical reference to a high‐repetition‐rate microcomb using a mode‐locked laser bridge. By employing electro‐optic sampling timing detection, femtosecond‐level synchronization and 10−18‐level fractional frequency stability are achieved.
Changmin Ahn, Junyong Choi, Daewon Suk, Hansuek Lee, Jungwon Kim   +4 more
wiley   +1 more source

Progress in Electromagnetic Wave Absorption of Multifunctional Structured Metamaterials. [PDF]

Polymers (Basel)
Lu Z, Liu L, Chen Z, Wang C, Zhu X, Lu X, Yuan H, Huang H.   +7 more
europepmc   +1 more source

Quantification of 10B and 11B in Biological Samples in Translational Science and Clinical Applications for Boron Neutron Capture Therapy (BNCT)

Medicinal Research Reviews, EarlyView.
ABSTRACT Boron neutron capture therapy (BNCT) is a targeted radiotherapy that exploits the selective accumulation of the 10B isotope within tumors, followed by irradiation with low‐energy neutrons to induce high linear energy transfer particles with short path lengths, resulting in localized tumor cell destruction while sparing surrounding healthy ...
Christoph Selg, Wolfgang A. G. Sauerwein, Evamarie Hey‐Hawkins   +2 more
wiley   +1 more source

Machine learning-based prediction of treatment outcomes and quantitative analysis of contributing factors in fertility induction therapy for adolescent male patients with congenital hypogonadotropic hypogonadism. [PDF]

Front Mol Biosci
Dou X, Zhang Q, Wang Y, Yuan Z, Gong C.
europepmc   +1 more source

Influence of Strain Rate on the Strain Hardening Behavior of a Lean Duplex Stainless Steel

MetalMat, EarlyView.
The aim of this study was to examine how strain rate influences the compressive strain‐hardening behavior of a lean duplex stainless steel LDX 2101. Microstructural analysis using electron backscatter diffraction (EBSD) revealed a strain‐induced austenite‐to‐martensite transformation.
Akilakps Sawyerr, Eric Kotei T. Addison, Martin Owusu‐Mensah, Abdul Jaleel Mohammed, Daolun Chen   +4 more
wiley   +1 more source