Results 41 to 50 of about 21,361 (269)
Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Advanced Science, EarlyView.An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Greed and Global Financial Crisis: Reflections on the Repeal of Glass-Steagall Act [PDF]
Ovidius University Annals: Economic Sciences Series, 2017 One of the main causes of the economic crisis is the “greed” manifested at the different levels ofsociety. From a moral point of view, in all religions of the world greed is repulsive and evil.
Dobre Claudia I. +1 more
doaj
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Frontiers in PsychologyIntroductionLeader greed has potentially important implications for employee behavior, yet its relationship with employee unethical behavior and the underlying mechanisms remain unclear.
Wenjing Gui +3 more
doaj +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Advanced Science, EarlyView.Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Politics and Governance, 2020 Do men and women perceive corruption differently? While evidence suggest that there is a strong link between gender and corruption, and that gender differences can at least partly be derived from men and women having different attitudes towards ...
Monika Bauhr, Nicholas Charron
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NbOx Mott Memristor‐Based Oscillatory P‐trit for Ternary Potts Machine
Advanced Science, EarlyView.A ternary Potts machine utilizing NbOx‐based probabilistic trits (p‐trits) is demonstrated for efficient combinatorial optimization. By leveraging the electro‐thermal switching dynamics of NbOx memristors, this architecture generates three‐state stochastic fluctuations.
Hakseung Rhee +10 more
wiley +1 more source
The Trend of Power and Its Damage from Myth to Epic in Ferdowsi's Shahnameh [PDF]
تاریخ ادبیات, 2013 In general, in epics, the confrontation of heroes and personalities rests on power. In many cases, the gods have direct involvement in the saber rattling, and in other cases act through mediators.
فاطمه پاکرو
doaj
Bistable Networks Enable Complex Shape Changes
Advanced Science, EarlyView.Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source