Results 61 to 70 of about 31,707 (257)

An Engineered Biomimetic Nanoreactor With Cascade Functions for Targeted and Combinatorial Therapy of Ischemic Stroke

open access: yesAdvanced Healthcare Materials, EarlyView.
Preparation of RVG‐modified erythrocyte membrane‐coated HMPB nanocarriers loaded with L‐arginine and NBP (RM@HPAN) and its neuroprotective mechanism. After intravenous injection, RM@HPAN achieves prolonged circulation, RVG‐29‐mediated BBB penetration, and ischemic accumulation.
Shaofa Li   +9 more
wiley   +1 more source

Lignin Mimicking Protein Methylation Augments the Efficacy of FOLFOX Chemotherapy by Anchoring Thymidylate Synthase

open access: yesAdvanced Materials, EarlyView.
Lignin‐mimicking protein methylation can enhance the efficacy and mitigate the toxicity of the classic FOLFOX chemotherapy regimen. ABSTRACT FOLFOX has served as the standard chemotherapy regimen for advanced stages, specifically in the treatment of pancreatic, colorectal, and bladder cancers.
Shiyao Song   +14 more
wiley   +1 more source

Combining Classifiers for Delineation of Raining Cloud over North Algeria and Mediterranean Sea [PDF]

open access: yesE3S Web of Conferences
In this paper, we presented the application of the classifier combination technique to classify cloud systems, namely stratiform and convective systems.
Bensafi Noureddine   +4 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Bagging and Boosting statistical machine translation systems [PDF]

open access: yes, 2013
In this article we address the issue of generating diversified translation systems from a single Statistical Machine Translation (SMT) engine for system combination.
Zhu, Jingbo   +3 more
core   +1 more source

Short-Term Photovoltaic Output Prediction Based on Decomposition and Reconstruction and XGBoost under Two Base Learners

open access: yesEnergies
Photovoltaic power generation prediction constitutes a significant research area within the realm of power system artificial intelligence. Accurate prediction of future photovoltaic output is imperative for the optimal dispatchment and secure operation ...
Weihui Xu   +5 more
doaj   +1 more source

Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms.

open access: yesPLoS ONE, 2020
This paper focuses on the application of machine learning algorithms for predicting spinal abnormalities. As a data preprocessing step, univariate feature selection as a filter based feature selection, and principal component analysis (PCA) as a feature ...
Md Raihan-Al-Masud   +1 more
doaj   +1 more source

Enhanced Mechanical Recycling of Polymer Mixtures by a Trifunctional Dynamic Crosslinker

open access: yesAdvanced Materials, EarlyView.
A self‐catalyzed, trifunctional dynamic crosslinker that incorporates three desired properties into one system and is compatible with reactive extrusion can compatibilize waste plastic mixtures containing high Tm polymers and impart the recycled mixtures with superior thermoset properties such as enhanced creep resistance and thermomechanical stability
Xavier Westworth   +4 more
wiley   +1 more source

Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes

open access: yesAdvanced Materials, EarlyView.
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar   +2 more
wiley   +1 more source

Prediction of Oestrus in Dairy Cows: An Application of Machine Learning to Skewed Data [PDF]

open access: yes, 2009
The Dairy industry requires accurate detection of oestrus(heat) in dairy cows to maximise output of the animals. Traditionally this is a process dependant on human observation and interpretation of the various signs of heat.
Lynam, Adam David
core  

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