Monitoring browsing behaviour and search services evolution adaptation with a capture–recapture Internet-based programming technique: A case-study over medical portals

2007 ◽  
Vol 27 (3) ◽  
pp. 105-122
Author(s):  
Ioannis Anagnostopoulos ◽  
Ilias Maglogiannis
Keyword(s):  
Programming Technique ◽  
Capture Recapture

Mixed methods to assess the use of rare illicit psychoactive substances: a case study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Eric Janssen ◽  
Mike Vuolo ◽  
Clément Gérome ◽  
Agnès Cadet-Taïrou
Keyword(s):  
Crack Cocaine ◽  
Mixed Method Research ◽  
Psychoactive Substances ◽  
Ethnographic Studies ◽  
Field Evidence ◽  
Capture Recapture ◽  
Hard To Reach Populations ◽  
Quantitative Results ◽  
Cocaine Users

Abstract This article presents original mixed method research to describe the use of rare illicit psychoactive substances, with special emphasis on crack cocaine in France. We first introduce a unique monitoring system committed to the observation of hard-to-reach populations. Qualitative findings rely, among others, on perennial ethnographic studies and field professionals’ knowledge to provide guidance to estimate the number of crack cocaine users. We then rely on a set of multilevel capture-recapture estimators, a statistical procedure to indirectly estimate the size of elusive populations. Since prior field evidence suggests an increasing diversity in crack cocaine users’ profiles, we provide a measure of heterogeneity to assess which estimator better fits the data. The calculated estimates are then critically reviewed and debated in light of the previously gathered information. Our results uncover both individual and institutional heterogeneity and suggest that the spread of crack cocaine in France initiated earlier than originally thought. Our case study underlines the need for field-driven assessments to put quantitative results into perspective, a necessary step to tailor efficient health policy responses.

scholarly journals Simulation-based validation of spatial capture-recapture models: A case study using mountain lions

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215458 ◽  
Author(s):  
J. Terrill Paterson ◽  
Kelly Proffitt ◽  
Ben Jimenez ◽  
Jay Rotella ◽  
Robert Garrott
Keyword(s):  
Mountain Lions ◽  
Simulation Based ◽  
Capture Recapture

scholarly journals A Fuzzy Group Decision Making for a Rail-Road Transshipment Yard Micro Locaton Problem

2018 ◽  
Vol 235 ◽  
pp. 00019 ◽  
Author(s):  
Ivan Belošević ◽  
Sanjin Milinković ◽  
Peter Marton ◽  
Slavko Vesković ◽  
Miloš Ivić
Keyword(s):  
Decision Making ◽  
Location Problem ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Practical Importance ◽  
Multi Criteria Decision Making ◽  
Intermodal Transportation ◽  
Programming Technique ◽  
Fuzzy Group Decision Making

Rail-road transhipment yards serve as interchange points between rail and road providing transhipment of loading units. These yards are of great importance for smooth functioning not only of railways but also of the whole intermodal transportation chains. The problem of choosing location of railway facilities, such as yards and depots, has great practical importance and is widely considered in the literature. In this paper, we present a multi criteria decision making (MCMD) model for selecting the most suitable micro location of a rail-road transhipment yard. The developed MCMD model is based on combining a compromise programming technique with the theory of fuzzy numbers. This approach was chosen to solve the considered location problem due to the specific decision-making environment that reflects in the presence of non-commensurable and conflicting criteria. As a case study we analysed several alternatives for locating rail-road transhipment facilities in the area of the rail freight yard in Vršac. The results confirm validity and usefulness of this approach.

Efficient single-survey estimation of carnivore density using fecal DNA and spatial capture-recapture: a bobcat case study

2018 ◽  
Vol 60 (3) ◽  
pp. 197-209 ◽  
Author(s):  
Dana J. Morin ◽  
Lisette P. Waits ◽  
David C. McNitt ◽  
Marcella J. Kelly
Keyword(s):  
Fecal Dna ◽  
Capture Recapture

scholarly journals Does a suburban reserve host a significant Carabuspopulations? A capture-recapture case study in Budapest, Hungary

2019 ◽  
Vol 2 ◽  
Author(s):  
Bérces Sándor
Keyword(s):  
Survival Rate ◽  
Population Size ◽  
Total Population ◽  
Pitfall Traps ◽  
Forested Area ◽  
Habitat Islands ◽  
Capture Recapture ◽  
To Receive

A two season capture-recapture study was preformed between 2016-2017, focusing on the Carabus species living in a suburban park (3 hectare) in Budapest, Hungary. Eighty live-capture, non-baited pitfall traps were used in a 3 x 3 m grid in 4 rows and 20 columns, covering almost totally a forested area of 240 m2. Five Carabus species were captured, the most numerous were C. scheidleri, C. ullrichii and C. coriaceus. C. convexus and C. intricatus were captured only a few times. All Carabus species were individually marked and released. Population size and survival rate was estimated only for the C. scheidleri population using POPAN in order to receive gross population size. In total 491 C. scheidleri individuals (251 females and 239 males) were marked. Recapture rate in 2016 and 2017 were 41 and 50 percent for the total population respectively. Estimated population size varied between years, the maximum population size was 680 ± 50 specimen in 2016. In 2017 a population size of 190 ± 16 individuals were estimated. Overwintering of eight C. scheidleri and three C. ullrichii specimen were observed. Less mobile large bodied forest specialist Carabus species living in a relatively small reserve underline the importance of habitat islands in a city.

scholarly journals Optimal Coordination of Directional Overcurrent Relays Using AI Algorithms and Comparison

10.29007/t8d1 ◽  
2018 ◽  
Author(s):  
Gaurav Darji ◽  
Ajay Patel ◽  
Rashesh P. Mehta
Keyword(s):  
Fine Tuning ◽  
Convergence Time ◽  
Coordination Problem ◽  
Programming Technique ◽  
Solution Convergence ◽  
Overcurrent Relays ◽  
Optimal Coordination ◽  
Optimum Solution ◽  
Boundary Limits

For identification of fault in time, with effectiveness and also to isolate the faulted part from the system to keep away from probable outages in a power system, the precise coordination of Directional Overcurrent Relays (DOCRs) is required. The coordination of DOCRs is assessed as optimization problem with containing complex nonlinear constraints. In this paper, several nature inspired AI techniques are implemented for the optimum solution of DOCR coordination problem. Fine tuning of presented AI algorithm is done to get the optimum possible results. Also the obtained results using the proposed methods are hybridized with the nonlinear programming technique for obtaining global best solution. All four algorithms represented for a case study system are compared with each other on the basis of Fitness of solution, convergence time of an algorithm for solution and on the basis of complexities presented by them in the way of solution. The results obtained present that with fine tuning of separate algorithm and using hybridization approach leads to the optimum as well as feasible solution within the boundary limits.

scholarly journals Complete tag loss in capture–recapture studies affects abundance estimates: An elephant seal case study

2020 ◽  
Vol 10 (5) ◽  
pp. 2377-2384
Author(s):  
Emily Malcolm‐White ◽  
Clive R. McMahon ◽  
Laura L. E. Cowen
Keyword(s):  
Elephant Seal ◽  
Tag Loss ◽  
Abundance Estimates ◽  
Capture Recapture

DETERMINATION OF EOQ OF MULTI-ITEM INVENTORY PROBLEMS THROUGH NONLINEAR GOAL PROGRAMMING WITH PENALTY FUNCTION

2005 ◽  
Vol 22 (04) ◽  
pp. 539-553 ◽  
Author(s):  
S. PANDA ◽  
K. BANERJEE ◽  
M. BASU
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Penalty Function ◽  
Penalty Functions ◽  
Economic Order Quantity ◽  
Programming Formulation ◽  
Order Quantity ◽  
Programming Technique

This paper proposes a nonlinear goal programming technique for obtaining economic order quantity of multi-item inventory problems. In the decision-making context, penalty functions are incorporated in the goal programming formulation. The proposed technique has been demonstrated via a case study.

Sign in / Sign up

Export Citation Format

Share Document