Characteristics Analysis of the Photons Arrival Time Interval of Laser Beat Signal

Although it is socially and ethically important not to be late for a specified arrival time, late arrivals sometimes happen to people using public transportation. Although many methods aim to smooth a user's movement by providing useful information, there are few approaches to prevent late arrivals due to psychological factors. In this research, to make a user's arrival time earlier and thus prevent late arrival, we propose a method that manipulates time allowance by presenting information based on a psychological and cognitive tendency. We apply this method to a vehicle timetable system for the purpose of preventing public transit users from arriving after a target vehicle's departure time. Our proposed timetable system manipulates the time intervals between a user's target vehicle and other vehicles by introducing fictional elements such as hidden vehicles and inserted fictional vehicles. This method uses the relationship between the time allowance and the departure time interval, and it can make a user desire and accept arriving at a station earlier. We implemented a prototype system and conducted four experiments. The evaluation results confirmed that our proposed method is effective for changing a user's time allowance and actual arrival time.

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Approximating the Temporal Neighbourhood Function of Large Temporal Graphs

Algorithms ◽

10.3390/a12100211 ◽

2019 ◽

Vol 12 (10) ◽

pp. 211 ◽

Cited By ~ 2

Author(s):

Pierluigi Crescenzi ◽

Clémence Magnien ◽

Andrea Marino

Keyword(s):

Public Transportation ◽

Arrival Time ◽

Time Interval ◽

Temporal Network ◽

Temporal Networks ◽

Starting Time ◽

Neighborhood Function ◽

Temporal Graphs ◽

Temporal Path

Temporal networks are graphs in which edges have temporal labels, specifying their starting times and their traversal times. Several notions of distances between two nodes in a temporal network can be analyzed, by referring, for example, to the earliest arrival time or to the latest starting time of a temporal path connecting the two nodes. In this paper, we mostly refer to the notion of temporal reachability by using the earliest arrival time. In particular, we first show how the sketch approach, which has already been used in the case of classical graphs, can be applied to the case of temporal networks in order to approximately compute the sizes of the temporal cones of a temporal network. By making use of this approach, we subsequently show how we can approximate the temporal neighborhood function (that is, the number of pairs of nodes reachable from one another in a given time interval) of large temporal networks in a few seconds. Finally, we apply our algorithm in order to analyze and compare the behavior of 25 public transportation temporal networks. Our results can be easily adapted to the case in which we want to refer to the notion of distance based on the latest starting time.

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The Effect Of Determinant Factors In The Family On The Arrival Time Of Patients Stroke In Emergency Installation

STRADA JURNAL ILMIAH KESEHATAN ◽

10.30994/sjik.v9i1.227 ◽

2020 ◽

Vol 9 (1) ◽

pp. 44-53

Author(s):

Muhammad Ikhwan Kosasih ◽

Nugrahaeni Firdausi ◽

Erwin Yektiningsih ◽

Zauhani Kusnul

Keyword(s):

Significant Relationship ◽

Arrival Time ◽

Decision Makers ◽

Time Interval ◽

Stroke Patients ◽

The Family ◽

Result Show ◽

Important Health ◽

Level Of Knowledge ◽

The Right

Stroke is an important health problem. The speed with which a stroke sufferer gets the right treatment cause a big influence on stroke management. This study analyze the influence of various factors in the family on the arrival time of stroke patients in the emergency department of the Kediri district hospital. The study was conducted during May-July 2019 and found stroke patients as many as 88. The result show that educational factors have a significant relationship with the level of knowledge, and the family age, job, people who knew the stroke and decision-makers in the family have a significant relationship with the time interval between the stroke attack with the arrival of patients in the emergency room. From this study, it can be concluded that family factors play an important role in the time interval between a stroke and the arrival of a patient on IGD to get proper treatment.

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A fall in P-wave velocity before the Gisborne, New Zealand, earthquake of 1966

Bulletin of the Seismological Society of America ◽

10.1785/bssa0640051501 ◽

1974 ◽

Vol 64 (5) ◽

pp. 1501-1507 ◽

Cited By ~ 1

Author(s):

D. J. Sutton

Keyword(s):

New Zealand ◽

Wave Velocity ◽

Significant Variation ◽

Arrival Time ◽

P Wave ◽

Time Interval ◽

P Waves ◽

Arrival Times ◽

P Wave Velocity ◽

Seismograph Station

Abstract A fall in P-wave velocity before the Gisborne earthquake of March 4, 1966 is indicated by arrival-time residuals of P waves from distant earthquakes recorded at the Gisborne seismograph station. Residuals were averaged over 6-month intervals from 1964 to 1968 and showed an increase of about 0.5 sec, implying later arrival times. The change began about 480 days before the earthquake. This precursory time interval is about that expected for an earthquake of this magnitude (ML = 6.2), but unlike most other reported instances, there was no obvious delay between the return of the velocity to normal and the occurrence of the earthquake. Similar analyses were carried out over the same period for two other New Zealand seismograph stations; at Karapiro there was no significant variation in mean residuals, and at Wellington the scatter was too large for the results to be meaningful. The Gisborne earthquake had a focus in the lower crust, about 25 km deep and was deeper than other events for which such precursory drops in P-wave velocity have been reported.

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Abstract 115: Extracorporeal Cardiopulmonary Resuscitation for Refractory Out of Hospital Cardiac Arrest (EROCA) - Results of a Randomized Feasibility Trial of Expedited Prehospital Transport

Circulation ◽

10.1161/circ.142.suppl_4.115 ◽

2020 ◽

Vol 142 (Suppl_4) ◽

Author(s):

William J Meurer ◽

Robert Domeier ◽

Cindy H Hsu ◽

Jennifer Fowler ◽

Sage Whitmore ◽

...

Keyword(s):

Cardiac Arrest ◽

Clinical Practice ◽

Cardiopulmonary Resuscitation ◽

Arrival Time ◽

Prehospital Care ◽

Functional Model ◽

Feasibility Trial ◽

Time Interval ◽

Extracorporeal Cardiopulmonary Resuscitation ◽

Hospital Cardiac Arrest

Introduction: Extracorporeal cardiopulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest (OHCA) is promising but is unproven, and outcomes are strongly dependent on time to initiation of therapy. Expedited transport may facilitate opportunities for ECPR in clinical practice and future trials. Hypotheses: We hypothesized that a real-time dispatch-based computer algorithm could select refractory OHCA patients who could be reliably transported to the emergency department (ED) within 30 min of the 911 call, and that Emergency Medicine physicians could initiate ECPR in eligible patients within 30 min of ED arrival. Methods: In a 2-tiered EMS system serving a US city of 100k in 29 square miles with an ECPR capable primary destination hospital, adults with refractory shockable or witnessed OHCA were randomized 4:1 to expedited transport (ET) or standard prehospital care (SC) if the predicted 911 to ED arrival time was <30 min. A maximum sample size of 24 was planned. The study required exception from informed consent. The primary outcomes were the proportion of patients with 911 to ED arrival <30 min and ED arrival to ECPR flow <30 min. Results: Out of 156 cardiac arrest runs, 15 participants (10%) were randomized prior to ending the trial for slow accrual. Five of 12 patients randomized to expedited transport had an ED arrival time of <30 min (mean 32.5+7.1). All ECPR eligible patients were cannulated, 3 of 5 receiving ECPR had flow initiated <30 min of ED arrival (mean 32.4+10.9), and 7 were ECPR ineligible. One patient (randomized to SC) survived to 30 days, and no patients in either group survived with a good neurological outcome. Conclusions: EROCA demonstrated a functional model for selecting patients with refractory OHCA for ET in an ECPR capable system but did not meet predefined time-interval targets. These results provide important insight into the feasibility of ECPR clinical trials and clinical practice based on selected target intervals.

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A Study on the Relationship between Arrival Time Interval and Waiting Ratio of Ships at Ports

10.14257/astl.2014.63.14 ◽

2014 ◽

Author(s):

Sang-Kook Park ◽

Kyeong-Seok Han

Keyword(s):

Arrival Time ◽

Time Interval ◽

The Relationship

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How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database

Journal of Clinical Medicine ◽

10.3390/jcm8030337 ◽

2019 ◽

Vol 8 (3) ◽

pp. 337 ◽

Cited By ~ 5

Author(s):

Yongbo Liang ◽

Derek Abbott ◽

Newton Howard ◽

Kenneth Lim ◽

Rabab Ward ◽

...

Keyword(s):

Blood Pressure ◽

Arrival Time ◽

Medical Information ◽

Pulse Wave ◽

The Body ◽

Time Interval ◽

Pulse Arrival Time ◽

Detection Techniques ◽

And Control ◽

Pulse Arrival

Cardiovascular disease (CVD) is the number one cause of non-infectious morbidity and mortality in the world. The detection, measurement, and management of high blood pressure play an essential role in the prevention and control of CVDs. However, owing to the limitations and discomfort of traditional blood pressure (BP) detection techniques, many new cuff-less blood pressure approaches have been proposed and explored. Most of these involve arterial wave propagation theory, which is based on pulse arrival time (PAT), the time interval needed for a pulse wave to travel from the heart to some distal place on the body, such as the finger or earlobe. For this study, the Medical Information Mart for Intensive Care (MIMIC) database was used as a benchmark for PAT analysis. Many researchers who use the MIMIC database make the erroneous assumption that all the signals are synchronized. Therefore, we decided to investigate the calculation of PAT intervals in the MIMIC database and check its usefulness for evaluating BP. Our findings have important implications for the future use of the MIMIC database, especially for BP evaluation.

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Modelling the Neolithic Transition in the Near East and Europe

American Antiquity ◽

10.7183/0002-7316.77.2.203 ◽

2012 ◽

Vol 77 (2) ◽

pp. 203-219 ◽

Cited By ~ 26

Author(s):

Joaquim Fort ◽

Toni Pujol ◽

Marc Vander Linden

Keyword(s):

Computational Models ◽

Arrival Time ◽

Near East ◽

Negligible Effect ◽

Time Interval ◽

Spread Rate ◽

Neolithic Transition ◽

Archaeological Data ◽

Continental Scale ◽

Mean Error

AbstractFor the Neolithic transition in the Near East and Europe, this paper compares the isochrones predicted by computational models to those obtained by interpolating the archaeological data. This comparison reveals that there is a major inconsistency between the predictions of the models and the archaeological data: according to the models, the Neolithic front would have arrived to Greece in less than half the time interval implied by the data. Our main new results are as follows, (a) This inconsistency can be solved by including only Pre Pottery Neolithic B/C (PPNB/C) sites in the Near East; (b) the model that yields the lowest mean error per site in the arrival time of the Neolithic across the Near East and Europe is obtained by allowing for sea travels up to distances of 150 km; and (c) Mountain barriers have a negligible effect on the spread rate of the Neolithic front at the continental scale.

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Excited State Lifetime Measurement By EEL-CL Coincidence

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100118904 ◽

1985 ◽

Vol 43 ◽

pp. 406-407

Author(s):

C.C. Ahn ◽

O.L. Krivanek

Keyword(s):

Excited State ◽

Arrival Time ◽

Time Spectrum ◽

Time Interval ◽

Single Photons ◽

Single Electrons ◽

False Start ◽

Preset Time ◽

Set Up ◽

Reversed Time

The lifetime of an excited state can be measured by detecting both the excitation (by EELS) and the de-excitation (by catho- doluminescence), and measuring the delay between the two events. We have adapted this technique for the measurement of lifetimes in an electron microscope.The experimental set-up is shown in Fig. 1. The arrival time and the energy loss of single electrons is monitored by the EELS (Gatan 607), and the arrival time and wavelength of single photons is monitored by the CL spectrometer. Pulses corresponding to the two events are fed to a time-to-amplitude converter (TAC), which outputs a variable height pulse proportional to the delay between the events. If no second (stop) pulse is detected within a preset time interval, the TAC recognizes a “false start”, does not output anything, and starts looking for a “start” pulse again. Since the count rate in the CL channel was typically 10 to 100 times weaker than in the EEL channel, we minimized the false starts by using the CL signal as the start pulse and the EEL signal, suitably delayed, as the stop pulse. This yields a “reversed time” spectrum, but minimizes the dead time of the electronics.

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Mechanism behind phase transitions in airplane boarding process

International Journal of Modern Physics C ◽

10.1142/s0129183116500613 ◽

2016 ◽

Vol 27 (06) ◽

pp. 1650061 ◽

Cited By ~ 6

Author(s):

ShengJie Qiang ◽

Bin Jia ◽

QingXia Huang ◽

ZiYou Gao

Keyword(s):

Phase Transition ◽

Monte Carlo ◽

Arrival Time ◽

Exclusion Process ◽

Critical Value ◽

Time Interval ◽

Asymmetric Exclusion Process ◽

Time Threshold ◽

Sequence Correlation ◽

Local Interference

A simple airplane boarding model is built much like an asymmetric exclusion process (ASEP). The dynamics of the model is constrained by local interference between passengers and global seat assignments for individuals. We perform extensive Monte Carlo simulations by using a parallel update rule to determine quantities like boarding time and sequence correlation. Our results clarify the scaling behavior in boarding process and identify a critical value of arrival time interval for boarding time threshold. Three different phases (steady, intermediate and linear) with respect to the boarding time are distinguished and the mechanism behind phase transition is further discussed.

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