Results 141 to 150 of about 47,816 (292)

Ferroelectricity in Antiferromagnetic Wurtzite Nitrides

Advanced Functional Materials, EarlyView.
We establish MnSiN2${\rm MnSiN}_2$ and MnGeN2${\rm MnGeN}_2$ as aristotypes of a new multiferroic wurtzite family that simultaneously exhibits ferroelectricity and antiferromagnetism with altermagnetic spin splitting. By strategically substituting alkaline‐earth metals, we predict new materials with coexisting switchable polarization, spin texture, and
Steven M. Baksa, Lin‐Ding Yuan, Stephen D. Wilson, James M. Rondinelli   +3 more
wiley   +1 more source

MBOSS: A Symbolic Representation of Human Activity Recognition Using Mobile Sensors. [PDF]

Sensors (Basel), 2018
Montero Quispe KG, Sousa Lima W, Macêdo Batista D, Souto E.   +3 more
europepmc   +1 more source

Segmented Shape-Symbolic Time Series Representation [PDF]

, 2014
. This paper introduces a symbolic time series representation using monotonic sub-sequences and bottom up segmentation. The representation min-imizes the square error between the segments and their monotonic approximations.
Giotis, Ioannis, Kruitbosch, Herbert Teun; id_orcid, Kruitbosch, Herbert Teun, Biehl, Michael; id_orcid, Michael Biehl, Ioannis Giotis, Herbert Teun Kruitbosch, Biehl, Michael   +7 more
core  

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

Advanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou, Bokeon Kwak, Dario Floreano, Esther Amstad   +3 more
wiley   +1 more source

Human Activity Recognition Based on Symbolic Representation Algorithms for Inertial Sensors. [PDF]

Sensors (Basel), 2018
Sousa Lima W, de Souza Bragança HL, Montero Quispe KG, Pereira Souto EJ.   +3 more
europepmc   +1 more source

Skorohod Representation Theorem Via Disintegrations [PDF]

Let (µn : n >= 0) be Borel probabilities on a metric space S such that µn -> µ0 weakly. Say that Skorohod representation holds if, on some probability space, there are S-valued random variables Xn satisfying Xn - µn for all n and Xn -> X0 in probability.
Pietro Rigo, Luca Pratelli, Patrizia Berti   +2 more
core  

Human Gut Bacteria and Lipidic Nanoparticles: Particle Composition Predicts Structural Transformation and Bacterial Biocompatibility

Advanced Functional Materials, EarlyView.
Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell, Emily L. Gulliver, Livia Salvati Manni, Frithjof Herb, Caitlin Welsh, Samuel C. Forster, Andrew J. Clulow, Wye‐Khay Fong   +7 more
wiley   +1 more source

Symbolic representation of biological oscillations

, 2005
Symbolic representations of discrete dynamics are ...
ZORZAN, Simone, BIANCO, Luca, MANCA, Vincenzo   +2 more
core  

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu, Haksoon Jung, Yongwoo Lee, Hoichang Jeong, Yanfeng Zhao, Heesoo Yang, Minho Park, Hyeonjin Lee, Seunghun Baek, Minju Song, Junghwan Kim, Youngmin Jo, Hyunjin Park, Munhyeon Kim, Jae‐Joon Kim, Kyuho Jason Lee, Byungjo Kim, Jimin Kwon   +17 more
wiley   +1 more source

Neuro-symbolic representation learning on biological knowledge graphs. [PDF]

Bioinformatics, 2017
Alshahrani M, Khan MA, Maddouri O, Kinjo AR, Queralt-Rosinach N, Hoehndorf R.   +5 more
europepmc   +1 more source