Results 101 to 110 of about 1,249,172 (345)

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

The Origins of Perceived Discrimination in e-Learning in Nursing Students: A Qualitative Study

SAGE Open Nursing
Introduction Discrimination in education is commonly associated with face-to-face interactions between teachers and students. However, e-learning environments can also foster discrimination.
Zahra Hadian Jazi PhD, Amir Shahzeydi MSc, Kazzem Gheybi PhD, Sedigheh Farzi PhD, Sima Babaei PhD   +4 more
doaj   +1 more source

Non-negative representation based discriminative dictionary learning for face recognition [PDF]

arXiv, 2019
In this paper, we propose a non-negative representation based discriminative dictionary learning algorithm (NRDL) for multicategory face classification. In contrast to traditional dictionary learning methods, NRDL investigates the use of non-negative representation (NR), which contributes to learning discriminative dictionary atoms.
arxiv  

Adsorption and Separation by Flexible MOFs

Advanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska, Volodymyr Bon, Antonia Mosberger, Yutong Wang, Stefan Kaskel   +4 more
wiley   +1 more source

State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers

, 2018
Machine learning is becoming an ever present part in our lives as many decisions, e.g. to lend a credit, are no longer made by humans but by machine learning algorithms. However those decisions are often unfair and discriminating individuals belonging to
Baumann, Elias, Rumberger, Josef Lorenz
core  

State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials

Advanced Materials, EarlyView.
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis, Subhajit Dutta, Saqib Kamal, Sergio Gómez‐Graña, Isabel Pastoriza‐Santos, Stefan Wuttke, Lakshminarayana Polavarapu   +6 more
wiley   +1 more source

Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection

Advanced Materials, EarlyView.
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li, Kunxuan Liu, Di Wu, Pei Lin, Zhifeng Shi, Xinjian Li, Longhui Zeng, Yang Chai, Shu Ping Lau, Yuen Hong Tsang   +9 more
wiley   +1 more source

Semi-supervised Multi-sensor Classification via Consensus-based Multi-View Maximum Entropy Discrimination

, 2015
In this paper, we consider multi-sensor classification when there is a large number of unlabeled samples. The problem is formulated under the multi-view learning framework and a Consensus-based Multi-View Maximum Entropy Discrimination (CMV-MED ...
Hero III, Alfred O., Nasrabadi, Nasser M., Xie, Tianpei   +2 more
core   +1 more source

A Neuransistor with Excitatory and Inhibitory Neuronal Behaviors for Liquid State Machine

Advanced Materials, EarlyView.
The neuransistor integrates hybrid excitatory and inhibitory dynamics, enabling liquid state machine implementation. It operates via charge trapping in a two‐dimensional electron electron gas (2DEG)/TiO2−x structure and features a three‐terminal design for efficient masking functionality. Simulations demonstrate its effectiveness in predicting temporal
Woon Hyung Cheong, Geunyoung Kim, Younghyun Lee, Eun Young Kim, Jae Bum Jeon, Do Hoon Kim, Kyung Min Kim   +6 more
wiley   +1 more source

Hierarchical and configural control in conditional discrimination learning. [PDF]

J Exp Psychol Anim Learn Cogn, 2022
O'Donoghue EM, Castro L, Wasserman EA.
europepmc   +1 more source