Results 131 to 140 of about 3,185,640 (378)

Facile Synthesis of CuxS Electrocatalysts for CO2 Conversion into Formate and Study of Relations Between Cu and S with the Selectivity

Advanced Functional Materials, EarlyView.
Copper sulfide based electrocatalysts for CO2 conversion are selective for production of formate as major product. Transformations under electrochemical conditions result in significant sulfur loss, and this study examines the nature of how persistent, residual sulfur (observed as surface SO42– species and S dissolved in the electrolyte) can sustain ...
Sasho Stojkovikj, Gumaa A. El‐Nagar, Siddharth Gupta, Metodija Najdoski, Violeta Koleva, Theocharis Tzanoudakis, Frederik Firschke, Peter Bogdanoff, Matthew T. Mayer   +8 more
wiley   +1 more source

Deploying Technology to Save Endangered Languages [PDF]

arXiv, 2019
Computer scientists working on natural language processing, native speakers of endangered languages, and field linguists to discuss ways to harness Automatic Speech Recognition, especially neural networks, to automate annotation, speech tagging, and text parsing on endangered languages.
arxiv  

A Survey of Paraphrasing and Textual Entailment Methods

, 2010
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information.
Androutsopoulos, Ion, Malakasiotis, Prodromos   +1 more
core   +1 more source

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

Advanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel, Zhoulyu Rao, Maggie Yang, Cunjiang Yu   +3 more
wiley   +1 more source

Shape‐Reconfigurable Crack‐Based Strain Sensor with Ultrahigh and Tunable Sensitivity

Advanced Functional Materials, EarlyView.
A highly sensitive crack‐based sensor with tunable strain detection capabilities is demonstrated through controlled nanocrack formation in a line‐patterned shape memory polymer substrate. The sensor design integrates thermoplastic polyurethane and poly(lactic acid), enabling thermo‐responsive reconfiguration of crack geometry.
Seungjae Lee, Youngoh Lee, Cheolhong Park, Yun Goo Ro, Min Sub Kwak, Geonyoung Jeong, Junseo Park, Hyejin Lee, Pan Kyeom Kim, Sung‐Il Chung, Hyunhyub Ko   +10 more
wiley   +1 more source

Logic replicant: a new machine learning algorithm for multiclass classification in small datasets

Machine Learning: Science and Technology
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral, Roberto Centeno, Víctor Fresno   +2 more
doaj   +1 more source

Generating Media Background Checks for Automated Source Critical Reasoning [PDF]

Not everything on the internet is true. This unfortunate fact requires both humans and models to perform complex reasoning about credibility when working with retrieved information. In NLP, this problem has seen little attention.
Schlichtkrull, M, The 2024 Conference on Empirical Methods in Natural Language Processing   +1 more
core  

Stratum Corneum‐Inspired Zwitterionic Hydrogels with Intrinsic Water Retention and Anti‐Freezing Properties for Intelligent Flexible Sensors

Advanced Functional Materials, EarlyView.
A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu, Chenyu Qiao, Peng‐Fei Sui, Jing‐Li Luo, Zuoli Li, Yi Cao, Renjun Pei, Xuwen Peng, Hongbo Zeng   +8 more
wiley   +1 more source

Scaling‐Up of Structural Superlubricity: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying, Xiang Gao, Diana Berman, Oded Hod, Michael Urbakh   +4 more
wiley   +1 more source

Fence - An Efficient Parser with Ambiguity Support for Model-Driven Language Specification [PDF]

arXiv, 2011
Model-based language specification has applications in the implementation of language processors, the design of domain-specific languages, model-driven software development, data integration, text mining, natural language processing, and corpus-based induction of models.
arxiv