Results 31 to 40 of about 7,604 (267)
Journal of Symbolic Logic, 1993 If two models of a first-order theory are isomorphic, then they remain isomorphic in any forcing extension of the universe of sets. In general however, such a forcing extension may create new isomorphisms. For example, any forcing that collapses cardinals may easily make formerly nonisomorphic models isomorphic. However, if we place restrictions on the
John T. Baldwin 0001 +2 more
openaire +2 more sources
Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing
Advanced Engineering Materials, EarlyView.This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu +10 more
wiley +1 more source
The Effect of Compliance with Corporate Governance Principles on Corporate Reputation as a Coercive Uniformity Mechanism: The Moderator Role of Family Ownership [PDF]
Yönetim ve Organizasyon Araştırmaları Dergisi, 2021 This study aims to test the effect of compliance with corporate governance principles, which is considered as a coercive isomorphism mechanism, on corporate reputation and to determine the moderating role of family ownership in this relationship ...
Türköz, Tolga, Koç, Umut
doaj
Advanced Materials, EarlyView.ABSTRACT Microneedle arrays (MNAs) is a rapidly emerging technology with broad biomedical applications in drug delivery and biosensing. With sub‐millimeter dimensions and periodicity, MNAs possess geometries nearly ideal for biomedical devices operating within the terahertz (THz) spectral window.
Sang Hyun Lee +6 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Snow Brand Milk crossed the divide between institutional and competitive isomorphism
Annals of Business Administrative Science, 2018 The development and diffusion of compliance activities in Japanese companies from around 2000 can be thought of as a typical example of the institutional isomorphism discussed by DiMaggio and Powell (1983), that is, isomorphism mechanisms that were at ...
Ayako Aizawa
doaj +1 more source
On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
The Survival of Market Orientation through Artificial Selection
Annals of Business Administrative Science, 2016 Observations of a Japanese automobile dealer company shifting from a selling orientation to a market orientation revealed the following: (1) A market-oriented program with a process and team orientation threatened the self-concept of the sales force and ...
Ryusuke KOSUGE, Nobuo TAKAHASHI
doaj +1 more source
Graph Isomorphism is Not AC0-Reducible to Group Isomorphism [PDF]
ACM Transactions on Computation Theory, 2013 We give a new upper bound for the Group and Quasigroup Isomorphism problems when the input structures are given explicitly by multiplication tables. We show that these problems can be computed by polynomial size nondeterministic circuits of unbounded fan-in with O (log log n ) depth and
Chattopadhyay, Arkadev +2 more
openaire +4 more sources
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
Advanced Science, EarlyView.CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source