Results 51 to 60 of about 783,920 (240)
,,Explainable AI“ ist kein neues Gebiet. Vielmehr ist das Problem der Erklarbarkeit so alt wie die AI selbst, ja vielmehr das Resultat ihrer selbst. Wahrend regelbasierte Losungen der fruhen AI nachvollziehbare ,,Glass-Box“-Ansatze darstellten, lag deren Schwache im Umgang mit Unsicherheiten der realen Welt.
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Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
A natural question is why AI in design? Although the design applications written about in the journal vary widely, the common thread is that researchers use AI techniques to implement their ideas. The use of AI techniques for design applications, at least when AI EDAM was started, was partially a reaction against the predominant design methods ...
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Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
This study examines how AI can be used to improve higher education students’ ability to learn effectively. The research focuses on using AI to enhance metacognition, which is the students’ ability to understand and control their learning processes ...
Nacereddine Mazari
doaj +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
Defining analytical skills for human resources analytics: A call for standardization [PDF]
PURPOSE: Human resources (HR) analytics systems, powered by big data, AI algorithms, and information technology, are increasingly adopted by organizations to enhance HR’s impact on business performance.
Konrad Kulikowski
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5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley +1 more source
AI generations: from AI 1.0 to AI 4.0
This paper proposes that Artificial Intelligence (AI) progresses through several overlapping generations: AI 1.0 (Information AI), AI 2.0 (Agentic AI), AI 3.0 (Physical AI), and a speculative AI 4.0 (Conscious AI). Each AI generation is driven by shifting priorities among algorithms, computing power, and data.
Jiahao Wu, Hengxu You, Jing Du 0001
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