Results 211 to 220 of about 2,612,011 (247)

Recent advances and prospects for high‐efficiency blue hot exciton organic light‐emitting diodes

FlexMat, EarlyView.
Blue organic light‐emitting diodes (OLEDs) face great challenges in achieving the balance between color purity, device efficiency, and stability. Hot exciton materials offer a solution by rapidly converting non‐emissive triplet excitons into singlet ones through a high‐lying reverse intersystem crossing process.
Xiaoen Shi, Shuyuan Ge, Futong Liu, Ping Lu   +3 more
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Optimized Multilayer Perceptron Neural Network Using Adam Optimizer and Huber Loss Function for Electricity Consumption Forecasting in Residential Buildings: A Case Study of Isfahan City

Amirreza Alizade, Hojjatollah K. Salehani, Ahmadreza Vali, Ghasem Derakhshan, Farhad Azimifar   +4 more
openalex   +1 more source

Enhancing Reliable Irrigation–Water Supply in Poverty‐Ridden and Drought‐Prone Areas: Pre‐2017 Baseline Evidence From the Tawona Irrigation Scheme, Zimbabwe

Irrigation and Drainage, EarlyView.
ABSTRACT This study investigates farmers' willingness to pay for a reliable irrigation water supply in Zimbabwe's Tawona irrigation scheme, where intermittent water supply caused by funding shortages threatens irrigation sustainability. Using contingent valuation and logit regression analysis, data were collected from 313 farmers during the 2016/2017 ...
Edgar Muhoyi, Josue Mbonigaba
wiley   +1 more source

Using Data Sciences for Analyzing Residential Electricity Consumption in Marginalized Mexican Municipalities

Natalie Ortiz-Guerrero, Nelva Nely Almanza-Ortega, Joaquín Pérez-Ortega, I. Santos-González   +3 more
openalex   +2 more sources

Bioelectrochemical single reactor for reductive and oxidative removal of trichloroethylene from contaminated groundwater

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Chlorinated aliphatic hydrocarbons such as trichloroethylene (TCE) are persistent groundwater contaminants due to improper disposal and low biodegradability. This work presents an innovative bioelectrochemical system for the integrated reductive/oxidative removal of TCE from contaminated water, implemented in a single tubular ...
Maria Presutti, Geremia Sassetto, Angela Marchetti, Giulia Simonetti, Marco Petrangeli Papini, Marco Zeppilli   +5 more
wiley   +1 more source

The impact of Electric Vehicle adoption on residential electricity consumption: Insights from Sweden

Evelina Jansson
openalex   +1 more source

Perspectives of High‐Resolution Mass Spectrometry in Soil Science

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Soil biogeochemical research requires specific, sensitive, and accurate methods to identify and quantify organic molecules in order to trace biochemical processes and assess element cycling in complex, heterogenous systems. High‐resolution mass spectrometry (HRMS) has evolved into a transformative tool for unraveling the complex chemical ...
Bruno Glaser, Tobias Bromm, Klaus Kaiser, Arthur Gross, Carsten Simon, Snežana Maletić, Ines Mulder, Oliver J. Lechtenfeld, Sören Thiele‐Bruhn, Ivy Notterpek, Callum Banfield, Michaela A. Dippold   +11 more
wiley   +1 more source

Predicción de consumo eléctrico de un edificio no residencial con Machine Learning ; Prediction of electricity consumption in a non-residential building using Machine Learning [PDF]

Camila Escudero, Tomás Concha, Marcos Hongn   +2 more
openalex  

From nature to nanoscale: advances, challenges, and preclinical translation of nanofiber drug delivery systems containing plant‐derived active ingredients

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Since the early 1960s, nanotechnology has been a critical area of science, allowing for the development of sophisticated nanomaterials. Nanofibers, one of the most widely used nanotechnological drug delivery systems, have emerged as a highly versatile platform within modern pharmaceutical sciences.
Heybet Kerem Polat, Yasin Turanlı, Nihat Kurt, Sefa Gözcü, Emre Tunçel, Hilal Bacanak, Eren Aytekin, Sedat Ünal   +7 more
wiley   +1 more source