Computer‐aided photo‐identification of a rare stingray, Megatrygon microps
Jennifer A. KeepingKatie E. Reeve‐ArnoldNeil M. BurnsNilza CatarinaDavid M. BaileyDeborah C. McNeill
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A protocol for photo-identification of individual Megatrygon microps has been defined. One hundred and four identification photographs were taken between 2005 and 2019. Spot patterns on the dorsal surface were used to identify individuals. Unique scarring on eight M. microps re-observed provided an independent confirmation of pattern stability of up to 761 days. Previous studies lacked statistical testing used to validate this photo-identification approach. I3 S photo-matching software was used to successfully match images, identifying 69 individuals. A photo-matching software facilitates an open-source platform for identifying individual M. microps, allowing for better population assessments.Keywords:
Identification
We develop inference for a two-sided matching model where the characteristics of agents on one side of the market are endogenous due to pre-matching investments. The model can be used to measure the impact of frictions in labour markets using a single cross-section of matched employer-employee data. The observed matching of workers to firms is the outcome of a discrete, two-sided matching process where firms with heterogeneous preferences over education sequentially choose workers according to an index correlated with worker preferences over firms. The distribution of education arises in equilibrium from a Bayesian game: workers, knowing the distribution of worker and firm types, invest in education prior to the matching process. Although the observed matching exhibits strong cross-sectional dependence due to the matching process, we propose an asymptotically valid inference procedure that combines discrete choice methods with simulation.
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We develop inference for a two-sided matching model where the characteristics of agents on one side of the market are endogenous due to pre-matching investments. The model can be used to measure the impact of frictions in labour markets using a single cross-section of matched employer-employee data. The observed matching of workers to firms is the outcome of a discrete, two-sided matching process where firms with heterogeneous preferences over education sequentially choose workers according to an index correlated with worker preferences over firms. The distribution of education arises in equilibrium from a Bayesian game: workers, knowing the distribution of worker and firm types, invest in education prior to the matching process. Although the observed matching exhibits strong cross-sectional dependence due to the matching process, we propose an asymptotically valid inference procedure that combines discrete choice methods with simulation.
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Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey: 1. gives a new framework unifying existing definitions of point identification, 2. summarizes and compares the zooful of different terms associated with identification that appear in the literature, and 3. discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models.
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After the socialization of identification agencies,many problems emerges,such as the misplacement of the management system,low input into the agencies,severe shortage of some identifiers,multiple and repetitive identification,malicious competition in the identification market,which are harmful to the fairness of identification results.To reform and perfect identification management system,it is needed to build the zoom standard of identification admittance,unify identification standard,standardize the admissibility system of identification conclusion and charging system,emphasize the responsibility of identifier and identification agency and promote the standardized operation of identification agencies through strictly supervising,thus identification agencies can keep the fairness of the identification results
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1. The indications such as the place of finding, the identification of clothes or other personal items, represent only the first step towards the identification of a corpse. 2. An identification based on medical data, other than dental, is often possible, more often than it is believed. 3. The forensic pathologist plays a double role in the case of such an identification: a) in the phase of the inquiry, he must contact the investigators and the families to explain his wishes and the different possibilities of identification. b) he must use the gathered information in the appropriate way. 4. It would be desirable to compose some statistical tables of the various medical elements useful for the identification (mutilations, surgical operations, etc...). We present six cases of identification in our practice.
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ABSTRACT Neutrophilic dermatosis of the dorsal hands is a recently described disorder, which is similar to Sweet's syndrome. It is characterized by erythematous plaques, pustules and haemorrhagic bullae located solely on the dorsal surface of the hands. We describe a 57‐year‐old man with neutrophilic dermatosis of the dorsal hands that occurred following exposure to a chemical fertilizer. There are few cases reported in the literature regarding neutrophilic dermatosis and the aetiology remains unclear. For the present case, we propose that neutrophilic dermatosis of the dorsal hands might have been induced by the chemical fertilizer.
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Over two dozen different terms for identification appear in the econometrics literature, including set identification, causal identification, local identification, generic identification, weak identification, identification at infinity, and many more. This survey: (i) gives a new framework unifying existing definitions of point identification; (ii) summarizes and compares the zooful of different terms associated with identification that appear in the literature; and (iii) discusses concepts closely related to identification, such as normalizations and the differences in identification between structural models and causal, reduced form models. ( JEL C01, C20, C50)
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This paper investigates subject matching in the National University of Singapore (NUS). The matching process is conducted in a primary market and a secondary market. In the primary market, students and departments are matched by a centralized matching procedure, based on their submitted preferences. Students who are not satisfied with their allocations in the primary market can choose to join the secondary market. By comparing matching results in these two markets, we show how a centralized matching procedure and a decentralized matching procedure can work together to produce a desirable outcome, especially in a many-to-many matching market.
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We develop inference for a two-sided matching model where the characteristics of agents on one side of the market are endogenous due to pre-matching investments. The model can be used to measure the impact of frictions in labour markets using a single cross-section of matched employer-employee data. The observed matching of workers to firms is the outcome of a discrete, two-sided matching process where firms with heterogeneous preferences over education sequentially choose workers according to an index correlated with worker preferences over firms. The distribution of education arises in equilibrium from a Bayesian game: workers, knowing the distribution of worker and firm types, invest in education prior to the matching process. Although the observed matching exhibits strong cross-sectional dependence due to the matching process, we propose an asymptotically valid inference procedure that combines discrete choice methods with simulation.
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