Results 81 to 90 of about 120,623 (302)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Reflections on qualitative research: Lessons learned to ensure research integrity

open access: yesSouth African Family Practice
This article focusses on teaching medical students qualitative research in a practical setting of a study about sexual health. Insufficient training, research deviating from the proposal and context-related factors contributed to compromising ...
Deidré Pretorius   +2 more
doaj   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Creditworthiness as a signal of trustworthiness [PDF]

open access: yes
Creditworthiness and trustworthiness are almost synonyms since the act of conferring a loan has the indirect effect of signaling the trustworthiness of the borrower. We test the creditworthiness-trustworthiness nexus in an investment game experiment on a
Becchetti, Leonardo, Conzo, Pierluigi
core  

StackingNet: Collective Inference Across Independent AI Foundation Models

open access: yesAdvanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li   +4 more
wiley   +1 more source

Security, Privacy, and Trustworthiness of Sensor Networks and Internet of Things

open access: yesSensors, 2020
This editorial gives an overview of the papers included in the Special Issue on “Security, Privacy, and Trustworthiness of Sensor Networks and Internet of Things” of Sensors. The context of the special issue theme is first briefly described. This is then
Sokratis Katsikas, Vasileios Gkioulos
doaj   +1 more source

Unsuccessful Coupling of Weakly Coordinating Anion–Based Mg Salts and Alkoxyalkylamine Solvents for Rechargeable Mg Battery Application: Trace Water‐Driven Interfacial Failure

open access: yesAdvanced Science, EarlyView.
Combining recently established two ground‐breaking concepts, the adoption of WCAs and the use of alkoxyalkylamine‐based solvents in electrolyte formulations for rechargeable magnesium metal batteries, has led to unexpectedly unsuccessful electrochemical Mg plating/stripping performance. Comprehensive experimental and computational analyses revealed the
Toshihiko Mandai   +4 more
wiley   +1 more source

Trustworthiness and economic performance [PDF]

open access: yes, 2009
Intrinsically trustworthy agents never cheat. A society's willingness to trust and the quality of its institutions have their origins in the intrinsic trustworthiness of its citizens.
John H. McDermott   +3 more
core   +2 more sources

A time-variant medical data trustworthiness assessment model [PDF]

open access: yes, 2009
Electronic Health Record (EHR) systems are being introduced to overcome the limitations associated with paper-based and isolated Electronic Medical Record (EMR) systems.
Alhaqbani, Bandar S.   +3 more
core   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy