Results 81 to 90 of about 92,516 (268)

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

open access: yesAdvanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang   +10 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Determinant factors of livelihood diversification: Evidence from Ethiopia

open access: yesCogent Social Sciences, 2017
Ethiopia’s agricultural productivity is considered low despite the presence of various agricultural policies. These policies focus mainly on on-farm agricultural development to the neglect of rich opportunities for non-agricultural livelihood ...
Geremew Worku Kassie   +2 more
doaj   +1 more source

Linear and Programmable Long‐Term Plasticity in PECVD Amorphous SiC Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
Stoichiometry‐engineered PECVD amorphous SiC memristors exhibit highly linear and programmable long‐term synaptic plasticity with a nonlinearity as low as 0.08. By controlling the local bonding environment, stable multilevel conductance updates are achieved, enabling robust neural‐network classification on MNIST and CIFAR‐10 and highlighting amorphous ...
Qin Liu   +6 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

How Video‐Based Information Affects Farmers' Willingness to Pay for Drone Services

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Professional service for digital technology like agricultural drones lowers transaction costs and scope thresholds for smallholders. Meanwhile, perceptual adoption barriers remain underexplored. We conduct a two‐stage choice experiment with a randomized video‐based information treatment among 384 Chinese crop farmers to measure its effect on ...
Hua Zhang   +4 more
wiley   +1 more source

Logit statico, Logit dinamico e modelli hazard

open access: yes, 2022
The application of survival analysis to credit risk has received a lot of attention and is the base of many empirical research. Here that analysis has been applied to a sample of Italian corporates working in the metallurgical sector. The survival analysis in the discrete and continuous domains have been compared to the traditional static logit ...
openaire   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci   +4 more
wiley   +1 more source

Farmers' Preferences for Gene Editing Crops and Influencing Factors

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele   +1 more
wiley   +1 more source

Differentiated Impacts of EU Rural Development Measures: A Finite Mixture Evaluation of Italian Olive Farms

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley   +1 more source

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