Results 161 to 170 of about 316,859 (287)

Faktenbericht 1986 zum Bundesbericht Forschung

open access: yes, 1986
Available from Bundesministerium fuer Forschung und Technologie (BMFT), Bonn (DE) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische ...
Bundesministerium fuer Forschung und Technologie (BMFT), Bonn (Germany)
core  

[The oldest old and climate change: an emerging field of research]. [PDF]

open access: yesBundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
Höppner G, Brandt M.
europepmc   +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

Bildung und Forschung in Zahlen

open access: yes
BILDUNG UND FORSCHUNG IN ZAHLEN Bildung und Forschung in Zahlen (Rights ...

core  

Calcium silicate-diorthocarbonate is a missing link in deep-mantle chemistry of silicates and carbonates. [PDF]

open access: yesNat Commun
Aprilis G   +8 more
europepmc   +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

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study. [PDF]

open access: yesCancer Discov
Clusmann J   +15 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

open access: yesAdvanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed   +15 more
wiley   +1 more source

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