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Everything Is A Matter Of Distance

A Peer-Reviewed Journal About
In physics, distance is measured as the product of speed and time; in mathematics, it is defined as the total path travelled by an object from one point to another. Both definitions share an operational clarity but capture only a single dimension of the
Magdalena Tyżlik-Carver, Pablo Velasco
doaj   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Connecting mathematics and sports in informal learning spaces

Frontiers in Education
IntroductionThere is a critical need to develop innovative educational strategies that engage youth in meaningful mathematics learning, particularly students from groups that have been historically marginalized in science, technology, engineering, and ...
Erin Turner, Sanlyn Buxner, Seneca B. Miller, Christina Baze, Ricardo Valerdi   +4 more
doaj   +1 more source

Mathematical description of the phase transition curve near the critical point [PDF]

, 2007
Tomasz Sułkowski
openalex   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

On the Impossibility of First-Order Phase Transitions in Systems Modeled by the Full Euler Equations

Entropy, 2019
Liquid−vapor flows exhibiting phase transition, including phase creation in single-phase flows, are of high interest in mathematics, as well as in the engineering sciences. In two preceding articles the authors showed on the one hand the capability
Maren Hantke, Ferdinand Thein
doaj   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Assessment of Ecological Environment Pressure and Detection of Key Points for Mariculture in Beibu Gulf of Guangxi

Haiyang Kaifa yu guanli, 2022
Taking Guangxi Beibu Gulf mariculture area as an example, the fuzzy mathematics grey statistics and entropy weight TOPSIS method were used to establish the ecological environment pressure evaluation system of Guangxi Beibu Gulf mariculture, and the Arc ...
Shenglong CHENG, Yan LI, Jing HUANG, Xiao FU, Hao RONG   +4 more
doaj  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

VERIFYING AND FALSYFING OF SCIENTIFIC THEORIES [PDF]

Hum, 2008
Logical positivists plead for the application of verifying criteria in science as principles which justify the statements of science and give sense to scientific notions and statements.
Antonio Poljak
doaj