On minimizing dataset transfer time in an acyclic network with four servers

2016 ◽  
Vol 10 (4) ◽  
pp. 494-504 ◽  
Author(s):  
A. V. Kononov ◽  
P. A. Kononova
Keyword(s):  
Transfer Time ◽  
Acyclic Network

scholarly journals Numerical Study of a Cooling System Using Phase Change of a Refrigerant in a Thermosyphon

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3634
Author(s):  
Grzegorz Czerwiński ◽  
Jerzy Wołoszyn
Keyword(s):  
Mass Transfer ◽  
Phase Change ◽  
Heat Dissipation ◽  
Cooling System ◽  
Numerical Study ◽  
Relaxation Parameter ◽  
Phase Changes ◽  
Transfer Time ◽  
Two Phase ◽  
Time Relaxation

With the increasing trend toward the miniaturization of electronic devices, the issue of heat dissipation becomes essential. The use of phase changes in a two-phase closed thermosyphon (TPCT) enables a significant reduction in the heat generated even at high temperatures. In this paper, we propose a modification of the evaporation–condensation model implemented in ANSYS Fluent. The modification was to manipulate the value of the mass transfer time relaxation parameter for evaporation and condensation. The developed model in the form of a UDF script allowed the introduction of additional source equations, and the obtained solution is compared with the results available in the literature. The variable value of the mass transfer time relaxation parameter during condensation rc depending on the density of the liquid and vapour phase was taken into account in the calculations. However, compared to previous numerical studies, more accurate modelling of the phase change phenomenon of the medium in the thermosyphon was possible by adopting a mass transfer time relaxation parameter during evaporation re = 1. The assumption of ten-fold higher values resulted in overestimated temperature values in all sections of the thermosyphon. Hence, the coefficient re should be selected individually depending on the case under study. A too large value may cause difficulties in obtaining the convergence of solutions, which, in the case of numerical grids with many elements (especially three-dimensional), significantly increases the computation time.

Total Transfer Time for Ground vs. Air Transport for Interhospital and Scene Transfers of Acute Stroke Patients

2021 ◽  
Vol 30 (6) ◽  
pp. 105704
Author(s):  
Sameer A. Kunte ◽  
Drew Anderson ◽  
Kiersten Brown-Espaillat ◽  
Michael T. Froehler
Keyword(s):  
Acute Stroke ◽  
Air Transport ◽  
Transfer Time ◽  
Stroke Patients

scholarly journals On a possibility of transfer of asteroids from the 2:1 mean motion resonance with Jupiter to the Centaur zone

2021 ◽  
Author(s):  
Kazantsev Anatolii ◽  
Kazantseva Lilia
Keyword(s):  
Terrestrial Planet ◽  
Numerical Calculations ◽  
Asteroid Belt ◽  
Time Interval ◽  
Transfer Time ◽  
Mean Motion ◽  
Resonant Orbits ◽  
Main Asteroid Belt ◽  
Absolute Magnitudes ◽  
Mean Motion Resonance

ABSTRACT The paper analyses possible transfers of bodies from the main asteroid belt (MBA) to the Centaur region. The orbits of asteroids in the 2:1 mean motion resonance (MMR) with Jupiter are analysed. We selected the asteroids that are in resonant orbits with e > 0.3 whose absolute magnitudes H do not exceed 16 m. The total number of the orbits amounts to 152. Numerical calculations were performed to evaluate the evolution of the orbits over 100,000-year time interval with projects for the future. Six bodies are found to have moved from the 2:1 commensurability zone to the Centaur population. The transfer time of these bodies to the Centaur zone ranges from 4,600 to 70,000 yr. Such transfers occur after orbits leave the resonance and the bodies approach Jupiter Where after reaching sufficient orbital eccentricities bodies approach a terrestrial planet, their orbits go out of the MMR. Accuracy estimations are carried out to confirm the possible asteroid transfers to the Centaur region.

scholarly journals Transfer Time After Acceptance to a Level I Trauma Center

2018 ◽  
Vol 2 (2) ◽  
pp. e081
Author(s):  
Ena Nielsen ◽  
David L. Skaggs ◽  
Liam R. Harris ◽  
Lindsay M. Andras
Keyword(s):  
Trauma Center ◽  
Transfer Time ◽  
Level I

scholarly journals Is it a matter of time? The effect of transfer time on femur fracture outcomes

2021 ◽  
Vol 6 (1) ◽  
pp. e000701
Author(s):  
Leah E Larson ◽  
Melissa L Harry ◽  
Paul K Kosmatka ◽  
Kristin P Colling
Keyword(s):  
Length Of Stay ◽  
Trauma Center ◽  
Femur Fracture ◽  
Fracture Repair ◽  
Hospital Length Of Stay ◽  
Complication Rates ◽  
Transfer Time ◽  
Femur Fractures ◽  
Initial Hospital ◽  
Level 1

BackgroundTrauma systems in rural areas often require longdistance transfers for definitive care. Delays in care, such as delayed femurfracture repair have been reported to be associated with poorer outcomes, butlittle is known about how transfer time affects time to repair or outcomesafter femur fractures.MethodsWe conducted a retrospective review of all trauma patients transferred to our level 1 rural trauma center between May 1, 2016-April 30, 2019. Patient demographics and outcomes were abstracted from chart and trauma registry review. All patients with femur fractures were identified. Transfer time was defined as the time from admission at the initial hospital to admission at the trauma center, and time to repair was defined as time from admission to the trauma center until operative start time. Our outcome variables were mortality, in-hospital complications, and hospital length of stay (LOS).ResultsOver the study period1,887 patients were transferred to our level 1 trauma center and 398 had afemur fracture. Compared to the entire transfer cohort, femur fracture patientswere older (71 versus 57 years), and more likely to be female (62% versus 43%).The majority (74%) of patients underwent fracture repair within 24hours. Delay in fracture fixation >24 hours wasassociated with increased length of stay (5 days versus 4 days; p<0.001),higher complication rates (23% versus 12%; p=0.01), and decreased dischargehome (19% vs. 32%, pp=0.02), but was not associated with mortality (6% versus5%; p=0.75). Transfer time and time at the initial hospital were not associatedwith mortality, complication rate, or time to femur fixation.DiscussionFixation delay greater than 24 hours associated with increased likelihood of in-hospital complications, longer length of stay, and decreased likelihood of dischargehome. Transfer time not related to patient outcomes or time to femur fixation.Level of evidenceLevel III; therapeutic/care management.

200 kA circuit breaker with 10 μsec current transfer time

1975 ◽  
Vol 46 (11) ◽  
pp. 1542-1545 ◽  
Author(s):  
C. A. Bleys ◽  
D. Lebely ◽  
C. Rioux ◽  
F. Rioux‐Damidau
Keyword(s):  
Circuit Breaker ◽  
Current Transfer ◽  
Transfer Time

The Scope and Impact of a Novel, Urban, Rapid Patient Interhospital Transfer System to Improve Neuroemergent Care: The Design and Development of the Neuroemergency Transfer Program

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
John S ◽  
◽  
Woodward J ◽  
Keegan KC ◽  
Tchalukov K ◽  
...  
Keyword(s):  
Care Facility ◽  
The United States ◽  
Health Concern ◽  
Transfer Program ◽  
Transfer Time ◽  
Urban Settings ◽  
Patient Transfers ◽  
Interhospital Transfer ◽  
Rural And Urban ◽  
Significant Public Health

Background: Access to neuroemergent care in the United States represents a significant public health concern, with limited neurosurgery and/ or neurocritical care coverage in both rural and urban settings. Inadequate access to neuroemergent providers, even in urban settings, may result in prolonged patient transfer time, associated neurological decline and translate into increased morbidity and mortality. Methods: A single center retrospective analysis of prospectively collected data of interhospital patient transfers to a neuroscience ICU between 2008-2018 was performed. Results: 9637 patients were included for analysis. A substantial increase in transfer requests were observed, 610 to 1221 from 2008 to 2018 respectively, with concurrent increase in the number and geographic distribution of referral centers. Ultimately, 7726 (80.2%) patients were discharged home or to outpatient or acute rehabilitation while 1820 (18.9%) were discharged to a long-term acute care facility (LTAC), hospice, or expired during the index admission. The leading diagnoses for transfer were: 1. intracerebral hemorrhage, 2. subarachnoid hemorrhage, 3. ischemic stroke, 4. subdural hematoma and 5. brain tumor. Transfer from an ED or ICU constituted 93.3% of requests. Mean total transfer time between 2012-2018 was < 155 minutes annually (range 128-155 minutes). In 2018, 91.5% of patients had health insurance with 68.7% covered by some form of Medicaid or Medicare. Conclusions: The ongoing evolution and overall success of the NTP draws chiefly from the designation of an easily accessible central operator to orchestrate transfer, establishing a network of community referral centers and optimization of regional patient transportation - all with the solitary goal of improving patient outcomes.

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