Results 111 to 120 of about 60,145 (304)
Current Standards of Monitoring Models in Healthcare Settings
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +1 more source
Tunable Raman Scattering of Fe(II) Coordination Networks With Magnetic Fields
Four heavy Hg(II) coordination networks with paramagnetic Fe(II) sites reveal strong and halogen‐tunable low‐frequency (LF) sub‐terahertz phonons and field‐dependent magnetic transitions. LF phonon spectroscopy and Raman magnetospectroscopy are powerful probes of structure, low‐energy vibration, zero‐field splitting, and spin–phonon coupling supported ...
Guanping Li +12 more
wiley +2 more sources
Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source
Mechanochemical Defluorination of Polytetrafluoroethylene (PTFE) With Base Metals
Polytetrafluoroethylene (PTFE) mechanochemically reacts with safe‐to‐handle, abundant, and inexpensive base metals Zn and Al, as well as with metals like Cd and Pb, to produce sp2‐carbon and industrially important metal fluorides. The reactivity presents PTFE as a mechanochemical fluorination agent, with opportunities for closed‐loop reductive ...
Anže Zupanc +10 more
wiley +2 more sources
The aim of the research was to find out effect of liming time on quality of rambak. Completely Randomized Design (CRD) was used to execute the research.
Aris Sri Widati +2 more
doaj
In this study, analyses of the three liming techniques namely cold liming, hot liming, and fractional liming and double heating (FLDH) in terms of their effects on pH, Brix and amount of reducing sugars using three sugarcane varieties (VMC 86550, VMC ...
Recinto, Margareth Rose T
core
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Responsible Artificial Intelligence in Courts: A Four‐Test Framework
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley +1 more source
Em experimento de casa-de-vegetação, foi avaliado o efeito do intervalo entre a aplicação de calcário e a de superfosfato triplo sobre a disponibilidade de fósforo em quatro Latossolos de cerrado.
Velloso, Ary Carlos X. +3 more
core +1 more source
ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais +9 more
wiley +1 more source

