Results 61 to 70 of about 23,233,852 (373)

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

Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals

Sensors, 2021
Mental stress can lead to traffic accidents by reducing a driver’s concentration or increasing fatigue while driving. In recent years, demand for methods to detect drivers’ stress in advance to prevent dangerous situations increased.
Jaewon Lee, Hyeonjeong Lee, Miyoung Shin
doaj   +1 more source

ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data

EMBO Reports, 2018
We have fully integrated public chromatin chromatin immunoprecipitation sequencing (ChIP‐seq) and DNase‐seq data (n > 70,000) derived from six representative model organisms (human, mouse, rat, fruit fly, nematode, and budding yeast), and have devised a ...
Shinya Oki, Tazro Ohta, G. Shioi, H. Hatanaka, O. Ogasawara, Y. Okuda, H. Kawaji, Ryo Nakaki, J. Sese, C. Meno   +9 more
semanticscholar   +1 more source

Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]

, 2009
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Ise, Masayuki, Konishi, Osamu, Minegishi, Tatsuya, Niimi, Ayahiko   +3 more
core  

Fine‐Tunning BaCo0.4Fe0.4Zr0.1Y0.1O3−δ‐Based Air Electrodes for Reversible Protonic Ceramic Cells via Co‐Engineering A‐site Deficiency and Nickel Content

Advanced Functional Materials, EarlyView.
A synergistic strategy combining A‐site deficiency and B‐site nickel doping yielded a BCFZYN‐095‐01 nanocomposite air electrode for reversible protonic ceramic cells with superior ORR/OER activities. B‐site deficiency in the perovskite lattice enhances proton conduction, and nickel doping within the bulk facilitates oxygen transport.
Mingzhuang Liang, Yixiao Song, Yufei Song, Daqin Guan, Dongliang Liu, Wenhuai Li, Igor V. Alexandrov, Artyom V. Sidelnikov, Guangming Yang, Wei Zhou, Ran Ran, Meigui Xu, Zongping Shao   +12 more
wiley   +1 more source

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

ISPRS International Journal of Geo-Information, 2017
Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang, Dan Yin, Shuwei Chen, Chongcheng Chen, Hongyu Huang, Ding Lin   +5 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

Advanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy, Frederic Kreps, Eckhard Müller, Johannes de Boor   +3 more
wiley   +1 more source

Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking [PDF]

PeerJ, 2016
Alzheimer’s disease (AD) is a chronic neurodegenerative disease which leads to the gradual loss of neuronal cells. Several hypotheses for AD exists (e.g., cholinergic, amyloid, tau hypotheses, etc.).
Saw Simeon, Nuttapat Anuwongcharoen, Watshara Shoombuatong, Aijaz Ahmad Malik, Virapong Prachayasittikul, Jarl E.S. Wikberg, Chanin Nantasenamat   +6 more
doaj   +2 more sources