Results 61 to 70 of about 883,011 (303)
Protein O‐glycosylation in the Bacteroidota phylum
Species of the Bacteroidota phylum exhibit a unique O‐glycosylation system. It modifies noncytoplasmic proteins on a specific amino acid motif with a shared glycan core but a species‐specific outer glycan. A locus of multiple glycosyltransferases responsible for the synthesis of the outer glycan has been identified.
Lonneke Hoffmanns+2 more
wiley +1 more source
Method of decision tree applied in adopting the decision for promoting a company
The decision can be defined as the way chosen from several possible to achieve an objective. An important role in the functioning of the decisional-informational system is held by the decision-making methods.
Cezarina Adina TOFAN
doaj +1 more source
Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses
In this paper, we consider decision trees that use both conventional queries based on one attribute each and queries based on hypotheses of values of all attributes. Such decision trees are similar to those studied in exact learning, where membership and
Mohammad Azad+3 more
doaj +1 more source
Team Decision Problems with Classical and Quantum Signals
We study team decision problems where communication is not possible, but coordination among team members can be realized via signals in a shared environment.
Brandenburger, Adam+1 more
core +1 more source
The prodrug strategy used in this study offers new promise for cancer metabolism‐based therapies. JHU083, a prodrug that, when cleaved by protease in the tumor microenvironment, yields the glutamine antagonist DON. JHU083 inhibits tumor growth by targeting glutamine‐addicted cancer cells and suppressing glutamine‐dependent M2 macrophages, leading to a ...
Tianhe Li+10 more
wiley +1 more source
Deep learning systems, especially in critical fields like medicine, suffer from a significant drawback, their black box nature, which lacks mechanisms for explaining or interpreting their decisions.
Jose Sigut+4 more
doaj +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern+3 more
wiley +1 more source