scholarly journals A Look at the Change in Water Occupancy Rates of Gölova Dam Lake, Turkey

2022 ◽  
Vol 11 (1) ◽  
pp. 34-36
Author(s):  
Seher Dirican
Keyword(s):  
Author(s):  
Richard M Wood

As the second wave of COVID-19 continues to push healthcare services to their limits, rapid and strategic planning has never been more important. Richard M Wood explains how statistical ‘nowcasting’ can be used to predict bed occupancy rates and help leaders to better manage acute capacity during this ongoing crisis.


2021 ◽  
Author(s):  
Daniel Hörcher ◽  
Ramandeep Singh ◽  
Daniel J. Graham

AbstractDense urban areas are especially hardly hit by the Covid-19 crisis due to the limited availability of public transport, one of the most efficient means of mass mobility. In light of the Covid-19 pandemic, public transport operators are experiencing steep declines in demand and fare revenues due to the perceived risk of infection within vehicles and other facilities. The purpose of this paper is to explore the possibilities of implementing social distancing in public transport in line with epidemiological advice. Social distancing requires effective demand management to keep vehicle occupancy rates under a predefined threshold, both spatially and temporally. We review the literature of five demand management methods enabled by new information and ticketing technologies: (i) inflow control with queueing, (ii) time and space dependent pricing, (iii) capacity reservation with advance booking, (iv) slot auctioning, and (v) tradeable travel permit schemes. Thus the paper collects the relevant literature into a single point of reference, and provides interpretation from the viewpoint of practical applicability during and after the pandemic.


2018 ◽  
Vol 173 ◽  
pp. 03073
Author(s):  
Liu Yang ◽  
Ren Qinghua ◽  
Xu Bingzheng ◽  
Li Xiazhao

In order to solve the problem that the wideband compressive sensing reconstruction algorithm cannot accurately recover the signal under the condition of blind sparsity in the low SNR environment of the transform domain communication system. This paper use band occupancy rates to estimate sparseness roughly, at the same time, use the residual ratio threshold as iteration termination condition to reduce the influence of the system noise. Therefore, an ICoSaMP(Improved Compressive Sampling Matching Pursuit) algorithm is proposed. The simulation results show that compared with CoSaMP algorithm, the ICoSaMP algorithm increases the probability of reconstruction under the same SNR environment and the same sparse degree. The mean square error under the blind sparsity is reduced.


2021 ◽  
Vol 1 (1) ◽  
pp. 111-123
Author(s):  
Anton Effendi ◽  
◽  
Bambang Hadi Prabowo

This article aims to investigate and analyze the potential of the hospitality industry by comparing the potential occupancy rates and hotel revenues of foreign and domestic tourists. This investigation uses an investigation of company data obtained from reports from hotel companies throughout Indonesia which are listed on the Indonesia Stock Exchange and secondary data obtained from world banks and other reliable data. This study uses behavioral data analysis using Threshold Autoregressive from 2000 to 2019. It was found that domestic tourists are a new hope that needs to be considered in surviving and restoring the hospitality industry after being exposed to the COVID-19 pandemic which has led hotel companies. temporarily closed operations and part of the hotel went bankrupt. Optimization of domestic tourists allowed the hotel industry to develop rapidly after the Covid-19 pandemic ended.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eunju Suh ◽  
Mahdi Alhaery

PurposeWhile United States is among countries with the world’s highest coronavirus infections, its approaches and policies to reopen the economy vary by state. A lack of objective criteria and monitoring toward satisfying the criteria can lead to another COVID-19 outbreak and business closures. Considering the pressing need to return to normalcy without a rebound of COVID-19 infections and deaths, an index that provides a data-driven and objective insight is urgently needed. Hence, a method was devised to assess the severity of the COVID-19 pandemic and determine the degree of progress any state has made in containing the spread of COVID-19.Design/methodology/approachUsing measures such as the weekly averages of daily new deaths, ICU bed occupancy rates, positive cases and test positivity rates, two indexes were developed: COVID-19 reopening readiness and severity.FindingsA clear difference in the pandemic severity trends can be observed between states, which is possibly due to the disparity in the state’s response to coronavirus. A sharp upward trend in index values requires caution prior to moving to the next phase of reopening.Originality/valueThe composite indexes advanced in this study will provide a universal, standardized and unbiased view of each state’s readiness to reopen and allow comparisons between states. This in turn can help governments and health-care agencies take counter measures if needed as to the anticipated demand for future health-care services and minimize adverse consequences of opening.


2001 ◽  
Vol 52 (4) ◽  
pp. 537-545 ◽  
Author(s):  
Pauline M Prior ◽  
Bernadette C Hayes

2017 ◽  
Vol 34 (10) ◽  
pp. 0996-1002 ◽  
Author(s):  
Régis Blais ◽  
Guy Lacroix ◽  
Michèle Cabot ◽  
Bruno Piedboeuf ◽  
Marc Beltempo

Objective This study aims to assess the association of nursing overtime, nurse staffing, and unit occupancy with health care–associated infections (HCAIs) in the neonatal intensive care unit (NICU). Study Design A 2-year retrospective cohort study was conducted for 2,236 infants admitted in a Canadian tertiary care, 51-bed NICU. Daily administrative data were obtained from the database “Logibec” and combined to the patient outcomes database. Median values for the nursing overtime hours/total hours worked ratio, the available to recommended nurse staffing ratio, and the unit occupancy rate over 3-day periods before HCAI were compared with days that did not precede infections. Adjusted odds ratios (aOR) that control for the latter factors and unit risk factors were also computed. Results A total of 122 (5%) infants developed a HCAI. The odds of having HCAI were higher on days that were preceded by a high nursing overtime ratio (aOR, 1.70; 95% confidence interval [95% CI], 1.05–2.75, quartile [Q]4 vs. Q1). High unit occupancy rates were not associated with increased odds of infection (aOR, 0.85; 95% CI, 0.47–1.51, Q4 vs. Q1) nor were higher available/recommended nurse ratios (aOR, 1.16; 95% CI, 0.67–1.99, Q4 vs. Q1). Conclusion Nursing overtime is associated with higher odds of HCAI in the NICU.


Author(s):  
Ketut Candri ◽  
I Komang Gde Bendesa

  Bali is an island where tourism plays a dominant role in its economy, so its potential needs to be further developed. The purpose of this study is to analyze the effect of tourist visits, number of hotels, and hotel occupancy rates on total employment and welfare of the people in Bali. The data used is secondary data published by Bali Provincial Tourism Office and the Bali Province Central Statistics Agency from 2000-2019. The analysis technique used is path analysis. The results showed that the number of tourist visits has a positive and significant effect on total employment, the number of hotels has a negative and insignificant effect on total employment, while the hotel occupancy rate has a positive and insignificant effect on total employment. In addition, the number of tourist visits has a negative and insignificant effect on welfare, the number of hotels and the total employment have a positive and significant effect on welfare, while the hotel occupancy rate has a negative and significant effect on the welfare of the community.  Labor absorption is not a mediating variable between tourist visits and occupancy rate on welfare.


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