Results 141 to 150 of about 66,839 (348)

Biohybrid Computing with Proteinoids and Algae

Advanced Science, EarlyView.
We developed a novel biohybrid computing system by combining proteinoid microspheres with algae. The biological mixture creates spontaneous electrical oscillations. These oscillations can perform simple logic operations, such as AND, OR, NAND, and NOR gates. Environmental factors like temperature and pH affect how the system works.
Panagiotis Mougkogiannis, Andrew Adamatzky   +1 more
wiley   +1 more source

Development of A Non-Invasive System for the Automatic Detection of Cattle Lameness

Proceedings
Lameness is a crucial welfare issue in the modern dairy cattle industry, that if not identified and treated early causes losses in milk production and leads to early culling of animals.
George Bellis, Paris Papaggelos, Evangeli Vlachogianni, Ilias Laleas, Stefanos Moustos, Thanos Patas, Sokratis Poulios, Nikos Tzioumakis, Giannis Giakas, Giorgos Tsiogkas, Christos Kokkotis, Dimitrios Tsaopoulos   +11 more
doaj   +1 more source

Lameness Locator for the Horse

EDIS, 2013
The veterinarians of the University of Florida Equine Lameness & Imaging Service specialize in the treatment and rehabilitation of poor performance in sport horses. This series of one-page full color fact sheets describes various diagnostic and imaging services available for diagnosing and treating lameness issues in horses. http://edis.ifas.
openaire   +5 more sources

Quantum Valley Hall Effect‐Based Coupler with Continuously Tunable Transmission for Topological Information Communication

Advanced Science, EarlyView.
The quantum‐valley‐Hall‐based bridge boundary has the frequency dependent wave localization. Utilizing the frequency dependency, this article experimentally shows the micro‐electromechanical‐systems‐based topological coupler with continuously tunable transmission coefficients by the frequency of interface modes within a single bulk bandgap. Furthermore,
Keita Funayama, Kenichi Yatsugi, Hiroya Tanaka, Hideo Iizuka   +3 more
wiley   +1 more source

Pressions et vitesses dans une lame déversant sur un seuil en mince paroi [PDF]

, 1971
P. Boyer, L. Castex, J. Nougaro
openalex   +1 more source

Photodegradation of 2D Ruddlesden‐Popper Perovskites: Consequences and Design Principles for Photoelectrochemical Applications

Advanced Science, EarlyView.
In this study, we examined the structural and morphological stability of the 2D perovskite‐phenylethylammonium lead iodide PEA(+)2PbI4 thin films in aqueous electrolytes of phenylethylammonium iodide (PEA(+)I), both in the dark and under illumination.
Manuel F. Vasquez‐Montoya, Maxim Simmonds, Jinzhao Li, Anton Dzhong, Thomas W Gries, Arsene Chemin, Tristan Petit, Philippe Holzhey, Steve Albrecht, Sergei Trofimov, Boris Naydenov, Roel Van de Krol, Marco Favaro, Eva Unger   +13 more
wiley   +1 more source

OBSERVATION DE LA STRUCTURE DES JOINTS DE GRAINS DANS DES LAMES MINCES BICRISTALLINES PRODUITES PAR UNE NOUVELLE TECHNIQUE [PDF]

, 1975
F. Cosandey, Seong-Ho Kang, C. Bauer
openalex   +1 more source

Advanced Brain‐on‐a‐Chip for Wetware Computing: A Review

Advanced Science, EarlyView.
Exploring Low‐Power, Beyond‐Silicon‐Computing Bio‐Computing: Brain‐on‐a‐Chip Technology. This article reviews the applications of Brain‐on‐a‐Chip in Wetware Computing, including in vitro‐cultured brain organoids, microelectrode arrays, electrophysiological interfaces, and microfluidic platforms, as well as data processing methods. It also looks forward
Shangchen Li, Yaoyao Liu, Sihan Hua, Yu Wang, Shutong Sun, Longhui Jiang, Chengji Lu, Juntao Liu, Huaizhang Shi, Pei Wu, Xinxia Cai, Jinping Luo   +11 more
wiley   +1 more source

Lame Angel [PDF]

, 1973
Donald Finkel
openalex   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source