Results 121 to 130 of about 874,374 (290)

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

Advanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao, Yejing Zhu, Hengchao Yu, Jun Zhu, Bo Wang, Yu Qiao, Zhimin Tian, Junlong Zhao, Lei Liu   +8 more
wiley   +1 more source

Macroeconomic-aware forecasting of construction costs in developing countries: Using gated recurrent unit and long short-term memory deep learning framework.

PLoS ONE
Cost overruns are common on long-term construction projects. This is mostly because of inaccurate early estimates and unexpected changes in the economy and finances.
Majed Alzara, Nadeen Gihad, Heba Abdou, Akram Soltan, AlHussein Hilal, Ahmed Ehab   +5 more
doaj   +1 more source

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

Advanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner, Joshua Schober, Pascal Dippell, Chantal Glatthaar, Smail Mekhilef, David Schäfer, Hannes Hergert, Marcus Rohnke, Matthias T. Elm, Bernd M. Smarsly   +9 more
wiley   +1 more source

Short-Term Residential Load Forecasting Based on Generative Diffusion Models and Attention Mechanisms

Energies
Accurate short-term prediction of residential power consumption is imperative for efficient energy system management. However, the complexity of high-resolution load data, nonlinear dynamics of load fluctuation, and external factor interactions pose ...
Yitao Zhao, Jiahao Li, Chuanxu Chen, Quansheng Guan   +3 more
doaj   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Machine learning models for performance estimation of solar still in a humid sub-tropical region

Discover Atmosphere
In the current investigation, machine learning models were developed to estimate the performance of a solar still in a humid subtropical climate region. A single-slope passive solar still was designed and constructed to facilitate year-round experiments ...
Farooque Azam, Naiem Akhtar, Shahid Husain   +2 more
doaj   +1 more source

Forecasting Inflation in Developing Economies: The Case of Nigeria, 1986-1998 [PDF]

In this article, we have sought to establish whether monetary aggregates have useful information for forecasting inflation, other than that provided by inflation itself. We have approached the problem in two ways.
Adebiyi, M.A., Feridun, M.
core  

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

Advanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin, Roman V. Kirtaev, Mikhail S. Mironov, Dmitriy V. Grudinin, Alexander A. Marchenko, Marina M. Chugunova, Valentin R. Solovei, Alexander V. Syuy, Andrey A. Vyshnevyy, Ilya P. Radko, Aleksey V. Arsenin, Valentyn S. Volkov   +11 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Soil Temperature and Moisture Forecasting Using Exponential Smoothing Method Based on Mean Absolute Percentage Error [PDF]

Muhamad Nur Azmi Wahyudi, Cucuk Wawan Budiyanto, Mohd Shafie Bakar   +2 more
openalex   +1 more source