Use of Electronic Tag Data and Associated Analytical Tools to Identify and Predict Habitat Utilization of Marine Predators

2012 ◽  
Author(s):  
Daniel P. Costa ◽  
Barbara Block
Keyword(s):  
Habitat Utilization ◽  
Marine Predators ◽  
Electronic Tag ◽  
Analytical Tools

In situ TEM studies of irradiation effects for materials improvement

1991 ◽  
Vol 49 ◽  
pp. 452-453
Author(s):  
Charles W. Allen
Keyword(s):  
Nuclear Reactor ◽  
Austenitic Stainless Steels ◽  
High Energy ◽  
Point Of View ◽  
In Situ Tem ◽  
Irradiation Effects ◽  
Tem Analysis ◽  
Radiation Induced ◽  
Analytical Tools

Irradiation effects studies employing TEMs as analytical tools have been conducted for almost as many years as materials people have done TEM, motivated largely by materials needs for nuclear reactor development. Such studies have focussed on the behavior both of nuclear fuels and of materials for other reactor components which are subjected to radiation-induced degradation. Especially in the 1950s and 60s, post-irradiation TEM analysis may have been coupled to in situ (in reactor or in pile) experiments (e.g., irradiation-induced creep experiments of austenitic stainless steels). Although necessary from a technological point of view, such experiments are difficult to instrument (measure strain dynamically, e.g.) and control (temperature, e.g.) and require months or even years to perform in a nuclear reactor or in a spallation neutron source. Consequently, methods were sought for simulation of neutroninduced radiation damage of materials, the simulations employing other forms of radiation; in the case of metals and alloys, high energy electrons and high energy ions.

Kritik der Politischen Ökonomie im 21. Jahrhundert.

2017 ◽  
Vol 47 (188) ◽  
pp. 453-470 ◽  
Author(s):  
Hans-Peter Büttner
Keyword(s):  
Political Economy ◽  
Critical Theory ◽  
Scientific Community ◽  
New World ◽  
Neoclassical Economics ◽  
Price Theory ◽  
Transformation Problem ◽  
Iron Cage ◽  
Analytical Tools

While the majority of the scientific community holds Marxian Value and Price Theory to be internally inconsistent because of the so-called “transformation problem”, these claims can be sufficiently refuted. The key to the solution of the “transformation problem” is quite simple, so this contribution, because it requires the rejection of simultanism and physicalism, which represent the genuine method of neoclassical economics, a method that is completely incompatible with Marxian Critique of Political Economy. Outside of the iron cage of neoclassical equilibrium economics, Marxian ‘Capital’ can be reconstructed without neoclassical “pathologies” and offers us a whole new world of analytical tools for a critical theory of capitalist societies and its dynamics.

Population organisation in reef sharks: new variations in coastal habitat use by mobile marine predators

2016 ◽  
Vol 544 ◽  
pp. 197-211 ◽  
Author(s):  
A Chin ◽  
MR Heupel ◽  
CA Simpfendorfer ◽  
AJ Tobin
Keyword(s):  
Habitat Use ◽  
Coastal Habitat ◽  
Marine Predators ◽  
Reef Sharks

Spatiotemporal distribution of foraging in a marine predator: behavioural drivers of hotspot formation

2020 ◽  
Vol 635 ◽  
pp. 187-202
Author(s):  
T Brough ◽  
W Rayment ◽  
E Slooten ◽  
S Dawson
Keyword(s):  
Time Of Day ◽  
Spatiotemporal Distribution ◽  
Temporal Effects ◽  
Marine Predator ◽  
Marine Predators ◽  
Additive Mixed Models ◽  
Density Analysis ◽  
The Times ◽  
Passive Acoustic ◽  
Spatial Locations

Many species of marine predators display defined hotspots in their distribution, although the reasons why this happens are not well understood in some species. Understanding whether hotspots are used for certain behaviours provides insights into the importance of these areas for the predators’ ecology and population viability. In this study, we investigated the spatiotemporal distribution of foraging behaviour in Hector’s dolphin Cephalorhynchus hectori, a small, endangered species from New Zealand. Passive acoustic monitoring of foraging ‘buzzes’ was carried out at 4 hotspots and 6 lower-use, ‘reference areas’, chosen randomly based on a previous density analysis of visual sightings. The distribution of buzzes was modelled among spatial locations and on 3 temporal scales (season, time of day, tidal state) with generalised additive mixed models using 82000 h of monitoring data. Foraging rates were significantly influenced by all 3 temporal effects, with substantial variation in the importance and nature of each effect among locations. The complexity of the temporal effects on foraging is likely due to the patchy nature of prey distributions and shows how foraging is highly variable at fine scales. Foraging rates were highest at the hotspots, suggesting that feeding opportunities shape fine-scale distribution in Hector’s dolphin. Foraging can be disrupted by anthropogenic influences. Thus, information from this study can be used to manage threats to this vital behaviour in the locations and at the times where it is most prevalent.

Food Habits and Habitat Utilization of the Japanese Badger (Meles anakuma) in a Grassland/Forest Mosaic

Mammal Study ◽  
2020 ◽  
Vol 45 (3) ◽  
pp. 229
Author(s):  
Koji Hijikata ◽  
Masato Minami ◽  
Hideharu Tsukada
Keyword(s):  
Food Habits ◽  
Habitat Utilization ◽  
Forest Mosaic

PENGARUH MOTIVASI KERJA, KOMPETENSI, DAN KOMPENSASI TERHADAP KINERJA KARYAWAN RUMAH SAKIT UMUM DAERAH (RSUD) KABUPATEN KEPULAUAN MENTAWAI

2020 ◽  
Author(s):  
Syofrinal
Keyword(s):  
Linear Regression ◽  
Work Motivation ◽  
Regression Coefficient ◽  
Employee Performance ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Reliability Test ◽  
Mentawai Islands ◽  
Regression Test ◽  
Analytical Tools

The purpose of this study is to test the Influence of Work Motivation, Competence, and Compensation Against Performance Employees Regional General Hospital (RSUD) Mentawai Islands District. This study is a census. The data used are primary data by taking sample of 79 (seventy nine) respondents. This research uses analytical tools such as validity, reliability test, multiple linear regression test, t test, F test and coefficient of determination (R2). The results of this study illustrate that all variables have an effect on employee performance except the compensation variable. The results can be described by the equation Y = 12.752 + 0.248X1 + 0.396X2 + 0.051 X3, where X1 = Work Motivation, X2 = Competence, and X3 = Compensation. This means that the constant of 12.752 states that factors other than the variables X1, X2, and X3 that affect employee performance of 12,752. Work Motivation coefficient of 0.248 states that if the variable X1 added one unit will add the effect of employee performance of 0.248 with the assumption that the competence and compensation variables are constant. The regression coefficient X2 of 0.396 is that if the variable X2 increases one unit will increase the employee performance by 0.396 with the assumption that the variable of work motivation and compensation is constant. Furthermore, with X3 regression coefficient of 0.051. This means that with other factors considered constant, the effect of compensation is less than that of work motivation and competence.

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