Št. zadetkov: 35
Izvirni znanstveni članek
Oznake:
COVID-19 pandemic;health system;resilience;workshops;public policy;
Objective:
The aim of this study was to identify and prioritize strategies for strengthening public health system resilience for pandemics, disasters, and other emergencies using a scorecard approach.
Methods:
The United Nations Public Health System Resilience Scorecard (Scorecard) was applied ac ...
Leto:
2023
Vir:
Zdravstvena fakulteta (UL ZF)
Izvirni znanstveni članek
Oznake:
health system resilience;public policy;resilience scorecard;workshops;
The COVID-19 pandemic highlighted the urgent need to strengthen public health systems. In response, the United Nations Disaster Risk Reduction (UNDRR) Public Health System Resilience Scorecard (Scorecard) was applied in workshops across multiple countries. The aim of our research was to explore the ...
Leto:
2024
Vir:
Zdravstvena fakulteta (UL ZF)
Izvirni znanstveni članek
Oznake:
food access;essential meals;school closure;COVID-19;education;
Background: The closure of schools in response to COVID-19 compromised access to essential meals for many students. The Emergency Meals-to-You program, a public/private partnership, was set up to address this challenge. More than 38.7 million meals were delivered between April and August 2020. This ...
Leto:
2022
Vir:
Zdravstvena fakulteta (UL ZF)
Benjamin J. Ryan,
Victoria Telford,
Mark Brickhouse,
Jose Acosta,
Cara Cliburn Allen,
Sanjaya Bhatia,
Jacqueline Campbell,
Connor Crowe,
Jeremy Everrett,
Matthew Fendt,
Rok Fink
Izvirni znanstveni članek
Oznake:
food security;emergency management;resilience;COVID-19;
School closures during the COVID-19 pandemic compromised access to essential meals for many children. In response, a public/private partnership known as the Emergency Meals-to-You program was established to deliver meals in affected rural areas of the United States. This study builds on this using a ...
Leto:
2024
Vir:
Zdravstvena fakulteta (UL ZF)
Video in druga učna gradiva
Oznake:
computer science;pattern recognition
The generalization error, or probability of misclassification, of ensemble classifiers has been shown to be bounded above by a function of the mean correlation between the constituent (i.e., base) classifiers and their average strength. This bound suggests that increasing the strength and/or decreas ...
Leto:
2010
Vir:
videolectures.net
Izvirni znanstveni članek
Oznake:
two-dimensional infrared spectroscopy;infrared transparent substrate;voltage-dependent infrared experiments;
Strong electric fields exist between the electric double layer and charged surfaces. These fields impact molecular structures and chemistry at interfaces. We have developed a transparent electrode with infrared plasmonic enhancement sufficient to measure FTIR and two-dimensional infrared spectra at ...
Leto:
2023
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake:
convective processes;Saharan dust;aerosol;airborne measurements;
The NASA Convective Processes Experiment - Cabo Verde (CPEX-CV) field campaign took place in September 2022 out of Sal Island, Cabo Verde. A unique payload aboard the NASA DC-8 aircraft equipped with advanced remote sensing and in situ instrumentation, in conjunction with radiosonde launches and sat ...
Leto:
2024
Vir:
Repozitorij Univerze v Novi Gorici (RUNG)
Video in druga učna gradiva
Oznake:
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version of a variational EM algorithm that approximates inference of a topic model. The algorithm alternates two phases: "model ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse networks presents a significant challenge due to the inherent disproportion of links that can form to links that do form. Previo ...
Leto:
2010
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
Nonstationarity, or changes in the generative parameters, are often a key aspect of real world time
series, which comprise of many distinct parameter regimes. An inability to react to regime changes
can have a detrimental impact on predictive performance. Change point detection (CPD) attempts
to red ...
Leto:
2009
Vir:
videolectures.net