Results 71 to 80 of about 10,962 (248)

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithms

open access: yesFuels
Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation.
Thitaree Lertliangchai   +4 more
doaj   +1 more source

Parameter estimation algorithm for bearing prognostics through monovariate generalized Gaussian Hidden Markov Models

open access: yes, 2022
Nowadays, the industrial scenario is driven by the need of costs and time reduction. In this contest, system failure prediction plays a pivotal role in order to program maintenance operations only in the last stages of the real operating life, avoiding ...
G. D'Elia   +4 more
core  

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

open access: yesAdvanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren   +8 more
wiley   +1 more source

Unveiling the financial pathway to human development: insights from non-linear ARDL and Granger causality analysis

open access: yesHumanities & Social Sciences Communications
The current study examines the relationship between financial inclusion, encompassing key indicators such as financial access, depth, efficiency, and stability, and the Human Development Index (HDI) within the BRICS economies (Brazil, Russia, India ...
Hafiz M. Sohail   +3 more
doaj   +1 more source

Remote sensing of aboveground biomass dynamics and climatic responses in tropical lowland rainforests: Evidence from Bawangling, China

open access: yesEcological Indicators
Dynamics of tropical forests' aboveground biomass (AGB) are pivotal to the global carbon balance, yet the nonlinear and interactive mechanisms by which AGB responds to climate change in tropical lowland rainforests (TLR) remain unclear.
Yuxin Chen   +10 more
doaj   +1 more source

Generalized Confidence Intervals and Fiducial Intervals for Some Epidemiological Measures.

open access: yes, 2016
For binary outcome data from epidemiological studies, this article investigates the interval estimation of several measures of interest in the absence or presence of categorical covariates.
Thomas Mathew   +7 more
core   +2 more sources

Bioorthogonal Fluorogenic Reporters for Noninvasive Imaging and Urinalysis of Immunotherapeutic Response in Renal Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
This study reported renal‐clearable bio‐orthogonal near‐infrared fluorogenic probes (BGRs) that specifically imaging and urinalysis of granzyme B for dynamic evaluation of RCC immunotherapy. BGRs not only differentiate immunotherapeutic responses in orthotopic RCC mice, but also enable sensitive optical urinalysis of granzyme B in clinical specimens ...
Xingyue Yang   +9 more
wiley   +1 more source

Estimation of Field Reliability Based on Aggregate Lifetime Data

open access: yes, 2015
Because of the exponential distribution assumption, many reliability databases recorded data in an aggregate way. Instead of individual failure times, each aggregate data point is a summation of a series of collective failures representing the cumulative
Piao Chen (765144)   +1 more
core   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

open access: yesAdvanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue   +6 more
wiley   +1 more source

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