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Toplam kayıt 498, listelenen: 211-220
Airbnb and COVID-19: SPACE-TIME vulnerability effects in six world-cities
(Elsevier, 2022)
This study examines the COVID-19 vulnerability and subsequent market dynamics in the volatile hospitality
market worldwide, by focusing in particular on individual Airbnb bookings-data for six world-cities in various
continents ...
Revisiting the Role of Charge Transfer in the Emission Properties of Carborane-Fluorophore Systems: A TDDFT Investigation
(American Chemical Society, 2022)
In this study, we performed a detailed investigation of the S1 potential energy surface (PES) of o-carborane-anthracene (o-CB-Ant) with respect to the C-C bond length on o-CB and the dihedral angle between o-CB and Ant ...
Discovery of adapalene and dihydrotachysterol as antiviral agents for the Omicron variant of SARS‑CoV‑2 through computational drug repurposing
(SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2022)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been signifcantly paralyzing the societies, economies
and health care systems around the globe. The mutations on the genome of SARS-CoV-2 led to the emergence ...
A decision support system for the prediction of mortality in patients with acute kidney injury admitted in intensive care unit
(UNIV SOUTH BOHEMIA, FAC HEALTH & SOCIAL STUD, JIROVCOVA, CESKA BUDEJOVICE, 370 04, CZECH REPUBLIC, 2020)
Intensive care unit (ICU) is a very special unit of a hospital, where healthcare professionals provide treatment and, later, close followup to the patients. It is crucial to estimate mortality in ICU patients from many ...
Energy Trading on a Peer-to-Peer Basis between Virtual Power Plants Using Decentralized Finance Instruments
(MDPI, 2022)
Over time, distribution systems have begun to include increased distributed energy resources (DERs) due to the advancement of auxiliary power electronics, information and communication technologies (ICT), and cost reductions. ...
A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge
(SPRINGER, 2022)
In this study, we propose an effective integration of multi criteria decision making methods
and Bayesian networks (BN) that incorporates expert knowledge. The novelty of this approach
is that it provides decision support ...
Efficient generation of emissive many-body correlations in copper-doped colloidal quantum wells
(Elsevier, 2022)
Colloidal quantum wells (CQWs) provide an appealing platform to achieve emissive many-body correlations for novel optoelectronic devices, given that they act as hosts for strong carrier Coulomb interactions and present ...
Optimization of multiple battery swapping stations with mobile support for ancillary services
(FRONTIERS MEDIA SA, 2022)
The recent developments in electric vehicles (EVs) causes several issues that
have not been satisfactorily addressed. One of the foremost problems is the
charging–discharging processes of EV batteries with diverse ...
A reinforcement learning-based demand response strategy designed from the Aggregator's perspective
(FRONTIERS MEDIA SA, 2022)
The demand response (DR) program is a promising way to increase the ability to balance both supply and demand, optimizing the economic efficiency of the overall system. This study focuses on the DR participation strategy ...
Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm
(CHINA ELECTRIC POWER RESEARCH INST, 2022)
This paper proposes a new cost-efficient, adaptive, and self-healing algorithm in real time that detects faults in a short period with high accuracy, even in the situations when it is difficult to detect. Rather than using ...