Modelling the Neolithic Transition in the Near East and Europe

2012 ◽  
Vol 77 (2) ◽  
pp. 203-219 ◽  
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.

A Method for Controlling Arrival Time to Prevent Late Arrival by Manipulating Vehicle Timetable Information

2020 ◽  
Vol 1 (1) ◽  
pp. 1-17
Author(s):  
Kyosuke Futami ◽  
Tsutomu Terada ◽  
Masahiko Tsukamoto
Keyword(s):  
Public Transportation ◽  
Psychological Factors ◽  
Arrival Time ◽  
Time Interval ◽  
Prototype System ◽  
Time Intervals ◽  
Target Vehicle ◽  
Late Arrival ◽  
Departure Time ◽  
The Relationship

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.

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

2012 ◽  
Vol 32 (4) ◽  
pp. 0403001 ◽  
Author(s):  
刘立生 Liu Lisheng ◽  
张合勇 Zhang Heyong ◽  
赵帅 Zhao Shuai ◽  
郭劲 Guo Jin
Keyword(s):  
Arrival Time ◽  
Beat Signal ◽  
Time Interval ◽  
Characteristics Analysis

scholarly journals Approximating the Temporal Neighbourhood Function of Large Temporal Graphs

Algorithms ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 211 ◽  
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.

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

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.

scholarly journals Die Landwirtschaft der arischen Völker aus der frühen Eisenzeit: Tiere und Menschen im vorachämenidischen Mittelasien1

Archaeofauna ◽  
2020 ◽  
Vol 29 ◽  
pp. 119-128
Author(s):  
JOSÉ LUIS BLESA CUENCA
Keyword(s):  
Central Asia ◽  
Late Antiquity ◽  
Near East ◽  
Last Millennium ◽  
Archaeological Data ◽  
Central Asian ◽  
History Of ◽  
Frame Work ◽  
Central Asian Republics ◽  
Written Sources

The Iranian peoples, or Aryans as they called themselves, are the indisputable characters of the last millennium of the history of the Ancient Near East. How they began to take part in the history of Central Asia to become some of the most eminent rulers of Late Antiquity, is still difficult to follow today. Our intention in this paper is to collect the work on this subject of Soviet scholars and relate it with those carried out by archaeologists from different countries in cooperation with the Central Asian republics, particularly with our research within the frame- work of the Turkmen-Spanish archaeological Mission in Dahistan (Southwestern Turkmenistan). Through archaeological data, as well as through written sources, we will focus on the faunas that lived with these people, and put them in connection with the re-writing of the history of the so- called Median Empire.

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

1974 ◽  
Vol 64 (5) ◽  
pp. 1501-1507 ◽  
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.

The changing face of PAM: 30 years of the journal

2020 ◽  
pp. 9-14
Author(s):  
Iwona Zych
Keyword(s):  
Near East ◽  
Eastern Mediterranean ◽  
Primary Role ◽  
Archaeological Data ◽  
New Challenges

The Journal has served in its primary role of a platform for presenting the annual input of new archaeological data from Polish excavations in the Eastern Mediterranean and the Near East for the better part of 30 years. Nothing can stay what it is too long and the journal has also undergone an evolution and transformation in an effort to rise to new challenges while sustaining the best of a long-standing and successful tradition. This is about the changing face of the Journal, the newest of which readers now hold in their hands.

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

Circulation ◽  
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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