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Journal articles on the topic 'Resource selection function (RSF)'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Cardozo, Sandra Vergara, Bryan Frederick John Manly, and Carlos Tadeu dos Santos Dias. "Comparation of logistic regression methods and discrete choice model in the selection of habitats." Scientia Agricola 67, no. 3 (2010): 327–33. http://dx.doi.org/10.1590/s0103-90162010000300011.

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Based on a review of most recent data analyses on resource selection by animals as well as on recent suggestions that indicate the lack of an unified statistical theory that shows how resource selection can be detected and measured, the authors suggest that the concept of resource selection function (RSF) can be the base for the development of a theory. The revision of discrete choice models (DCM) is suggested as an approximation to estimate the RSF when the choice of animal or groups of animals involves different sets of available resource units. The definition of RSF requires that the resour

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Lemaître, Jérôme, and Marc-André Villard. "Foraging patterns of pileated woodpeckers in a managed Acadian forest: a resource selection function." Canadian Journal of Forest Research 35, no. 10 (2005): 2387–93. http://dx.doi.org/10.1139/x05-148.

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We analyzed the relative influence of foraging substrate characteristics as predictors of the probability of use by the pileated woodpecker (Dryocopus pileatus L.) and determined threshold values for significant predictors. We sampled used and available substrates around 126 stations distributed in an intensively managed forest in northwestern New Brunswick, Canada. We developed a resource selection function (RSF), validated by a resampling procedure, and compared selection ratios for significant predictors. Diameter at breast height (DBH) of trees and snags was the most significant predictor,

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Richardson, Evan, Ian Stirling, and David S. Hik. "Polar bear (Ursus maritimus) maternity denning habitat in western Hudson Bay: a bottom-up approach to resource selection functions." Canadian Journal of Zoology 83, no. 6 (2005): 860–70. http://dx.doi.org/10.1139/z05-075.

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We examined habitat characteristics of 101 polar bear (Ursus maritimus Phipps, 1774) den sites and 83 adjacent unoccupied sites in western Hudson Bay, Canada, between mid-August and early October 2001 and 2002. Bears denned almost exclusively in peat banks (n = 100) along the edges of creeks, rivers, and lakes adjacent to open lichen tundra sites. Den sites differed from unoccupied sites by having greater tree cover (P = 0.002), less moss cover (P < 0.001), and less herbaceous cover (P = 0.005). The presence of tree roots improved substrate stability, providing support to den structures. De

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Dutta, S., and Y. Jhala. "Devil is in the detail: behaviorally explicit habitat selection by the Critically Endangered great Indian bustard." Endangered Species Research 45 (May 27, 2021): 55–69. http://dx.doi.org/10.3354/esr01126.

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Habitat management to accommodate ecological needs of threatened species can help abate biodiversity decline. Some species require contrasting microhabitats for different functions, and may prefer patches with ample, diverse microhabitats. We examined this problem for the Critically Endangered great Indian bustard Ardeotis nigriceps in 175 km2 breeding habitat in Kachchh, India. We developed behaviorally explicit resource selection functions (RSFs) by comparing used vs. available microhabitats using binomial generalized linear models that tested hypothesized habitat responses in an information

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Stratmann, Theresa S. M., Nandintsetseg Dejid, Justin M. Calabrese, et al. "Resource selection of a nomadic ungulate in a dynamic landscape." PLOS ONE 16, no. 2 (2021): e0246809. http://dx.doi.org/10.1371/journal.pone.0246809.

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Nomadic movements are often a consequence of unpredictable resource dynamics. However, how nomadic ungulates select dynamic resources is still understudied. Here we examined resource selection of nomadic Mongolian gazelles (Procapra gutturosa) in the Eastern Steppe of Mongolia. We used daily GPS locations of 33 gazelles tracked up to 3.5 years. We examined selection for forage during the growing season using the Normalized Difference Vegetation Index (NDVI). In winter we examined selection for snow cover which mediates access to forage and drinking water. We studied selection at the population

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Hong, Yang, Thomas Connor, Huan Luo, et al. "Spatial Utilization and Microhabitat Selection of the Snow Leopard (Panthera uncia) under Different Livestock Grazing Intensities." Earth Interactions 25, no. 1 (2021): 151–59. http://dx.doi.org/10.1175/ei-d-21-0003.1.

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AbstractThere is increasing conflict between snow leopards and humans in many protected areas, the main driver of which is the overlap in spatial utilization between snow leopards and livestock. Understanding the spatial utilization and microhabitat selection of snow leopards in areas featuring different levels of livestock grazing is important to better understand and resolve this conflict, but such studies are rare. Here, we conducted line transect and plot surveys in low- and high-grazing-disturbance areas (LGDAs and HGDAs) in Wolong National Reserve, southwestern China. We compared snow le

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Koper, Nicola, and Micheline Manseau. "A guide to developing resource selection functions from telemetry data using generalized estimating equations and generalized linear mixed models." Rangifer 32, no. 2 (2012): 195. http://dx.doi.org/10.7557/2.32.2.2269.

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Resource selection functions (RSF) are often developed using satellite (ARGOS) or Global Positioning System (GPS) telemetry datasets, which provide a large amount of highly correlated data. We discuss and compare the use of generalized linear mixed-effects models (GLMM) and generalized estimating equations (GEE) for using this type of data to develop RSFs. GLMMs directly model differences among caribou, while GEEs depend on an adjustment of the standard error to compensate for correlation of data points within individuals. Empirical standard errors, rather than model-based standard errors, mus

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CRISTESCU, BOGDAN, GORDON B. STENHOUSE, MARC SYMBALUK, SCOTT E. NIELSEN, and MARK S. BOYCE. "Wildlife habitat selection on landscapes with industrial disturbance." Environmental Conservation 43, no. 4 (2016): 327–36. http://dx.doi.org/10.1017/s0376892916000217.

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SUMMARYTechnological advancements in remote sensing and telemetry provide opportunities for assessing the effects of expanding extractive industries on animal populations. Here, we illustrate the applicability of resource selection functions (RSFs) for modelling wildlife habitat selection on industrially-disturbed landscapes. We used grizzly bears (Ursus arctos) from a threatened population in Canada and surface mining as a case study. RSF predictions based on GPS radiocollared bears (nduring mining = 7; npost mining = 9) showed that males and solitary females selected areas primarily outside

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Habib, Thomas J., David A. Moore, and Evelyn H. Merrill. "Detection and stratification approaches for aerial surveys of deer in prairie–parklands." Wildlife Research 39, no. 7 (2012): 593. http://dx.doi.org/10.1071/wr11175.

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Context For management decisions that require accurate and precise estimates of large mammal population numbers, aerial surveys are considered reliable despite their cost. However, aerial surveys may still suffer from underestimation because of undetected animals and low precision as a result of inefficient sampling designs. Aims We assess detection of two species of deer in prairie-parkland communities of western Canada and evaluate a suite of survey design features for improving the accuracy and precision of population estimates from aerial surveys. Methods Modelling detection of deer was ba

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Sergeyev, Maksim, Brock R. McMillan, Kent R. Hersey, and Randy T. Larsen. "The influence of habitat use on harvest vulnerability of cow elk (Cervus canadensis)." PLOS ONE 15, no. 11 (2020): e0242841. http://dx.doi.org/10.1371/journal.pone.0242841.

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Pressure from hunting can alter the behavior and habitat selection of game species. During hunting periods, cervids such as elk (Cervus canadensis) typically select for areas further from roads and closer to tree cover, while altering the timing of their daily activities to avoid hunters. Our objective was to determine the habitat characteristics most influential in predicting harvest risk of elk. We captured 373 female elk between January 2015 and March 2017 in the Uinta-Wasatch-Cache National Forest and surrounding area of central Utah, USA. We determined habitat selection during the hunting

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Brook, Rodney W., Kenneth F. Abraham, Kevin R. Middel, and R. Kenyon Ross. "Abundance and Habitat Selection of Breeding Scoters (Melanitta spp.) in Ontario’s Hudson Bay Lowlands." Canadian Field-Naturalist 126, no. 1 (2012): 20. http://dx.doi.org/10.22621/cfn.v126i1.1290.

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Concern about declining populations of sea ducks counted on the wintering grounds prompted a survey of sea ducks on the breeding grounds in the Hudson Bay Lowlands of Ontario in spring 2009. We estimated densities of breeding scoters (Surf Scoter, Melanitta perspicillata, White-winged Scoter, M. fusca, and Black Scoter, M. americana) and found the average estimates of Surf Scoters (average = 0.11 indicated pairs/km2) and Black Scoters (average = 0.16 indicated pairs/km2) to be as high as some of the highest reported for North America. We also conducted a habitat association analysis using reso

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Peterson, Collin J., Michael S. Mitchell, Nicholas J. DeCesare, Chad J. Bishop, and Sarah S. Sells. "Habitat selection by wolves and mountain lions during summer in western Montana." PLOS ONE 16, no. 7 (2021): e0254827. http://dx.doi.org/10.1371/journal.pone.0254827.

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In the Northern Rockies of the United States, predators like wolves (Canis lupus) and mountain lions (Puma concolor) have been implicated in fluctuations or declines in populations of game species like elk (Cervus canadensis) and mule deer (Odocoileus hemionus). In particular, local distributions of these predators may affect ungulate behavior, use of space, and dynamics. Our goal was to develop generalizable predictions of habitat selection by wolves and mountain lions across western Montana. We hypothesized both predator species would select habitat that maximized their chances of encounteri

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Chai, Zhilei, Wei Song, Qinxin Bao, Feng Ding, and Fei Liu. "Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network." Royal Society Open Science 5, no. 9 (2018): 180529. http://dx.doi.org/10.1098/rsos.180529.

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The growing and pruning radial basis function (GAP-RBF) network is a promising sequential learning algorithm for prediction analysis, but the parameter selection of such a network is usually a non-convex problem and makes it difficult to handle. In this paper, a hybrid bioinspired intelligent algorithm is proposed to optimize GAP-RBF. Specifically, the excellent local convergence of particle swarm optimization (PSO) and the extensive search ability of genetic algorithm (GA) are both considered to optimize the weights and bias term of GAP-RBF. Meanwhile, a competitive mechanism is proposed to m

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MUKHLISI, MUKHLISI, TRI SAYEKTI NINGSIH, ULFAH KARMILA SARI, YUYUN KURNIAWAN, RIDWAN SETIAWAN, and AHMAD MUSLIM. "Habitat utilization of the Sumatran rhinos (Dicerorhinus sumatrensis harrissoni) in Kutai Barat forest, East Kalimantan, Indonesia." Biodiversitas Journal of Biological Diversity 19, no. 5 (2018): 1842–50. http://dx.doi.org/10.13057/biodiv/d190536.

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Mukhlisi, Ningsih TS, Sari UK, Kurniawan Y, Setiawan R, Muslim A. 2018. Habitat utilization of the Sumatran rhinos (Dicerorhinus sumatrensis harrissoni) in Kutai Barat forest, East Kalimantan, Indonesia. Biodiversitas 19: 1842-1850. Sumatran rhino population in Kutai Barat forest faces a high threat of extinction. Conservation efforts can be developed more effectively and efficiently by understanding the condition of their natural habitat. This study aimed to analyze various factors influencing habitat utilization of the Sumatran rhino in Kalimantan, specifically in Kutai Barat forest. We used

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Sarabi, Sepehr, Milad Asadnejad, and Saman Rajabi. "Using neural network for drowsiness detection based on EEG signals and optimization in the selection of its features using genetic algorithm." Innovaciencia Facultad de Ciencias Exactas Físicas y Naturales 8, no. 1 (2020): 1–9. http://dx.doi.org/10.15649/2346075x.1004.

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One of the major causes of traffic accidents is driver’s drowsiness. For this reason, detecting whether the driver's eyes are open or closed is one of the critical factors in reducing road deaths. One way to detect whether your eyes are open or closed is to use EEG signals. EEG signals are obtained from the recording of electrical activity in the human brain. The present study uses a neural network that is applied to the driver's EEG signals to detect whether the eye is open or closed. The data of the EEG signals used in this paper consist of 14 features that are based on a statistical populat

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Praveen, B., S. Mustak, and Pritee Sharma. "ASSESSING THE TRANSFERABILITY OF MACHINE LEARNING ALGORITHMS USING CLOUD COMPUTING AND EARTH OBSERVATION DATASETS FOR AGRICULTURAL LAND USE/COVER MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 585–92. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-585-2019.

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<p><strong>Abstract.</strong> Mapping of agricultural land use/cover was initiated since the past several decades for land use planning, change detection analysis, crop yield monitoring etc. using earth observation datasets and traditional parametric classifiers. Recently, machine learning, cloud computing, Google Earth Engine (GEE) and open source earth observation datasets widely used for fast, cost-efficient and precise agricultural land use/cover mapping and change detection analysis. Main objective of this study was to assess the transferability of the machine learning a

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Fabritius, Matthias Philipp, Max Seidensticker, Johannes Rueckel, et al. "Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer." Journal of Clinical Medicine 10, no. 16 (2021): 3668. http://dx.doi.org/10.3390/jcm10163668.

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Background: Yttrium-90 radioembolization (RE) plays an important role in the treatment of liver malignancies. Optimal patient selection is crucial for an effective and safe treatment. In this study, we aim to validate the prognostic performance of a previously established random survival forest (RSF) with an external validation cohort from a different national center. Furthermore, we compare outcome prediction models with different established metrics. Methods: A previously established RSF model, trained on a consecutive cohort of 366 patients who had received RE due to primary or secondary li

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Potts, Jonathan R., Karl Mokross, and Mark A. Lewis. "A unifying framework for quantifying the nature of animal interactions." Journal of The Royal Society Interface 11, no. 96 (2014): 20140333. http://dx.doi.org/10.1098/rsif.2014.0333.

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Collective phenomena, whereby agent–agent interactions determine spatial patterns, are ubiquitous in the animal kingdom. On the other hand, movement and space use are also greatly influenced by the interactions between animals and their environment. Despite both types of interaction fundamentally influencing animal behaviour, there has hitherto been no unifying framework for the models proposed in both areas. Here, we construct a general method for inferring population-level spatial patterns from underlying individual movement and interaction processes, a key ingredient in building a statistic

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Manly, Bryan F. J. "Estimating a resource selection function with line transect sampling." Journal of Applied Mathematics and Decision Sciences 6, no. 4 (2002): 213–28. http://dx.doi.org/10.1155/s1173912602000159.

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A resource selection probability function is a function that gives the prob- ability that a resource unit (e.g., a plot of land) that is described by a set of habitat variables X1 to Xp will be used by an animal or group of animals in a certain period of time. The estimation of a resource selection function is usually based on the comparison of a sample of resource units used by an animal with a sample of the resource units that were available for use, with both samples being assumed to be effectively randomly selected from the relevant populations. In this paper the possibility of using a mod

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Lele, Subhash R. "A New Method for Estimation of Resource Selection Probability Function." Journal of Wildlife Management 73, no. 1 (2009): 122–27. http://dx.doi.org/10.2193/2007-535.

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Fister, Iztok, Xin-She Yang, Karin Ljubič, Dušan Fister, Janez Brest, and Iztok Fister. "Towards the Novel Reasoning among Particles in PSO by the Use of RDF and SPARQL." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/121782.

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The significant development of the Internet has posed some new challenges and many new programming tools have been developed to address such challenges. Today, semantic web is a modern paradigm for representing and accessing knowledge data on the Internet. This paper tries to use the semantic tools such as resource definition framework (RDF) and RDF query language (SPARQL) for the optimization purpose. These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. Instead of the local best solution, a neighborhood of solutions fo

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Zahedi, Mohammad Reza, Same Yousefi, and Mohsen Cheshmbera. "A Fuzzy Quality Function Deployment Approach to Enterprise Resource Planning Software Selection." Asian Journal of Scientific Research 4, no. 2 (2011): 114–28. http://dx.doi.org/10.3923/ajsr.2011.114.128.

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Han, Xiuwei, Xin Song, Dong Li, and Jingpu Wang. "Uplink Resource Allocation in Device-to-Device Communication System." MATEC Web of Conferences 246 (2018): 03003. http://dx.doi.org/10.1051/matecconf/201824603003.

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In this paper, we study uplink resource allocation problem to maximize the overall system capacity while guaranteeing the signal-to-noise ratio of both D2D users and cellular users (CUs). The optimization problem can be decomposed into two subproblems: power control and channel assignment. We first prove that the objective function of power control problem is a convex function to get the optimal transmit power. Then, we design an optimal selection algorithm for channel assignment. Numerical results reveal the proposed scheme is capable of improving the system’s performance compared with the ra

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Li, Yuchun, Yinghua Han, Jinkuan Wang, and Qiang Zhao. "A MBCRF Algorithm Based on Ensemble Learning for Building Demand Response Considering the Thermal Comfort." Energies 11, no. 12 (2018): 3495. http://dx.doi.org/10.3390/en11123495.

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Demand response (DR) has become an effective and critical method for obtaining better savings on energy consumption and cost. Buildings are the potential demand response resource since they contribute nearly 50% of the electricity usage. Currently, more DR applications for buildings were rule-based or utilized a simplified physical model. These methods may not fully embody the interaction among various features in the building. Based on the tree model, this paper presents a novel model based control with a random forest (MBCRF) learning algorithm for the demand response of commercial buildings

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Courbin, Nicolas, Daniel Fortin, Christian Dussault, Viviane Fargeot, and Réhaume Courtois. "Multi-trophic resource selection function enlightens the behavioural game between wolves and their prey." Journal of Animal Ecology 82, no. 5 (2013): 1062–71. http://dx.doi.org/10.1111/1365-2656.12093.

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Stevenson, E. R., M. A. Lashley, M. C. Chitwood, et al. "Resource selection by coyotes (Canis latrans) in a longleaf pine (Pinus palustris) ecosystem: effects of anthropogenic fires and landscape features." Canadian Journal of Zoology 97, no. 2 (2019): 165–71. http://dx.doi.org/10.1139/cjz-2018-0150.

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Prescribed fire is used to restore and maintain fire-dependent forest communities. Because fire affects food and cover resources, fire-mediated resource selection has been documented for many wildlife species. The first step in understanding these interactions is to understand resource selection of the predators in a fire-maintained system. We attached GPS radio collars to 27 coyotes (Canis latrans Say, 1823) and examined resource selection relative to fire-maintained vegetation types, years since fire, anthropogenic features that facilitate prescribed burning, and other landscape features lik

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Qu, Ming Cheng, Xiang Hu Wu, Ming Hong Liao, and Xiao Zong Yang. "A Novel Resource Selection Model for Data Grid Based on QoS." Advanced Materials Research 186 (January 2011): 203–9. http://dx.doi.org/10.4028/www.scientific.net/amr.186.203.

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The parallel data transmission based on multi-copy is a key strategy to enhance transmission speed and ensure the QoS of data grid. Currently how to select replica nodes to achieve multiple optimization objectives is an import problem to be solved. To satisfy the constraint of transmission time for service request, a model is proposed. The network load and services tolerance are all taken into account by putting forward a tolerance function for service request, taking network load and tolerance functions as optimization objective at the same time, and introducing a weighting factor to balance

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McCloskey, Donna, and Kerri Anne Crowne. "You’re Hired! Applying the Human Resource Selection Process to Team Formation." Management Teaching Review 4, no. 1 (2018): 27–38. http://dx.doi.org/10.1177/2379298118801818.

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This article explains an activity that can be conducted to form teams in university business classes. It allows students to actively participate in the team selection process and learn valuable human resource management skills. Students are placed in the role of hiring managers. They have to identify the skills and characteristics needed to complete a project and then review and evaluate résumés to select appropriate team members. The exercise provides students with practical experience in a key managerial function, as well as insight into how they are presenting their own skills and accomplis

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Wang, Cheng Che. "Analysis Software Application Status of Enterprise Human Resource Management." Applied Mechanics and Materials 462-463 (November 2013): 956–59. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.956.

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The paper analyzes and evaluates the current domestic enterprise softwareapplication, first use the questionnaire investigation, mainly concentrated in the high-tech enterprises, the medium and small enterprises of high percentage. Researchmainly aimed at the software brand, satisfaction, function, price, purchase demand andimportance, after sale service and other aspects of the investigation. After screening screening to obtain effective questionnaires, and use descriptive analysis method toresearch the results of statistical analysis. The results showed: the enterprises shouldpay attention t

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Huettmann, F. "Erste Internationale ‘Resource Selection Function’ Konferenz vom 13.–15. Januar 2003 in Laramie, University of Wyoming." Zeitschrift für Jagdwissenschaft 49, no. 1 (2003): 84–85. http://dx.doi.org/10.1007/bf02192017.

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Bhandari, Khadak Singh, and Gi Hwan Cho. "A Resource Oriented Route Selection Framework Using Contextual Information Based on Fuzzy Logic." Electronics 8, no. 9 (2019): 1023. http://dx.doi.org/10.3390/electronics8091023.

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Internet of Things (IoT) is expected to have a significant impact on city’s service provisioning and make a smart city more accessible and pragmatic since the deployment of heterogeneous smart devices in each infrastructure of cities is increasing. So far, the IPv6 routing protocol for low power and lossy networks (RPL) is considered to fit on IoT infrastructure for achieving the expected network requirements. While RPL meets the IoT network requirements quite well, there are some issues that need to be addressed, such as adaptability to network dynamics. This issue significantly limits the us

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Walsh, Matthew R., John P. DeLong, Torrance C. Hanley, and David M. Post. "A cascade of evolutionary change alters consumer-resource dynamics and ecosystem function." Proceedings of the Royal Society B: Biological Sciences 279, no. 1741 (2012): 3184–92. http://dx.doi.org/10.1098/rspb.2012.0496.

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It is becoming increasingly clear that intraspecific evolutionary divergence influences the properties of populations, communities and ecosystems. The different ecological impacts of phenotypes and genotypes may alter selection on many species and promote a cascade of ecological and evolutionary change throughout the food web. Theory predicts that evolutionary interactions across trophic levels may contribute to hypothesized feedbacks between ecology and evolution. However, the importance of ‘cascading evolutionary change’ in a natural setting is unknown. In lakes in Connecticut, USA, variatio

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Zhou, Li Juan, Hai Jun Geng, and Ming Sheng Xu. "Research on Materialized View Selection in the Data Warehouse." Applied Mechanics and Materials 55-57 (May 2011): 361–66. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.361.

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Materialized view is an effective method for improving the efficiency of queries in data warehouse system, and the problem of materialized view selection is one of the most important decisions. In this paper, an algorithm was proposed to select a set of materialized views under maintenance cost constraints for the purpose of minimizing the total query processing cost; the algorithm adopts the dynamic penalty function to solve the resource constraints view selection. The experimental study shows that the algorithm has better solutions and high efficiency.

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Jyothsna, R., and G. Kalyani. "Recruitment & Selection At Cheric Information Network Technologies Pvt Ltd." Think India 22, no. 3 (2019): 342–47. http://dx.doi.org/10.26643/think-india.v22i3.8261.

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Successful human resources planning is designed to identify an organizations Human resource needs. Once these needs are known an organization will want to do something about meeting them. The next step, then, in the staffing function is assuming, of course, that demand for certain skills, knowledge, and abilities is greater than the current supply in recruiting. This activity makes it possible for a company to acquire the people necessary to ensure the continued operation of the organization.

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Sanvito, Simona, Filippo Galimberti, and Edward H. Miller. "Having a big nose: structure, ontogeny, and function of the elephant seal proboscis." Canadian Journal of Zoology 85, no. 2 (2007): 207–20. http://dx.doi.org/10.1139/z06-193.

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The proboscis of male elephant seals ( Mirounga Gray, 1827) has been suggested as an example of a secondary sexual trait since Darwin. There has been much speculation about its social function (e.g., optical signal of breeding status, amplification of vocalizations, cue for female choice). However, it has never been studied in detail, probably because its fleshy nature makes measurement difficult. In this paper, we employ photogrammetry to measure the proboscis and facial morphology of a large sample of wild, unrestrained, displaying male southern elephant seals ( Mirounga leonina (L., 1758)).

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Selden, Sally Coleman. "Human Resource Management in American Counties, 2002." Public Personnel Management 34, no. 1 (2005): 59–84. http://dx.doi.org/10.1177/009102600503400104.

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Human resource management (HRM) in public organizations is changing as there are numerous policy, procedural and structural reforms underway. Human resource management studies have focused primarily at the state and federal levels, with relatively fewer comprehensive views of county governments. This article looks at human resource management roles, structures and practices from the perspective of county government using data from the Government Performance Project. The article describes approaches to reforms, the role and structures of the central HRM department, and the range of HRM practice

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Jiang, Guangshun, Jianzhang Ma, Minghai Zhang, and Philip Stott. "Multiple spatial-scale resource selection function models in relation to human disturbance for moose in northeastern China." Ecological Research 24, no. 2 (2008): 423–40. http://dx.doi.org/10.1007/s11284-008-0519-8.

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Iguisi, Osarumwense Iguisi, and Amaka Orakwu. "Conceptualizing entrepreneurship in human resource management." International Journal of Research in Business and Social Science (2147- 4478) 9, no. 3 (2020): 85–93. http://dx.doi.org/10.20525/ijrbs.v9i3.692.

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This paper examines various models of entrepreneurship in the recruiting, managing, and organizing of Human Resources of an enterprise or organization. It adds to the growing body of literature in entrepreneurship by reviewing literature that examines the relationship between entrepreneurship and the Human resource management practice. It examines the theoretical framework that underpins the relationship between HRM and entrepreneurship. The study introduces strategic HRM as an entrepreneurial strategy whereby employees are applied as instruments needed to fully accomplish organizational objec

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Buss, David M. "The evolutionary genetics of personality: Does mutation load signal relationship load?" Behavioral and Brain Sciences 29, no. 4 (2006): 409. http://dx.doi.org/10.1017/s0140525x06269097.

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The mutation-selection hypothesis may extend to understanding normal personality variation. Traits such as emotional stability, agreeableness, and conscientiousness figure strongly in mate selection and show evidence of non-additive genetic variance. They are linked with reproductively relevant outcomes, including longevity, resource acquisition, and mating success. Evolved difference-detection adaptations may function to spurn individuals whose high mutation load signals a burdensome relationship load.

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Sutherland, M., and A. Wöcke. "The symptoms of and consequences to selection errors in recruitment decisions." South African Journal of Business Management 42, no. 4 (2011): 23–32. http://dx.doi.org/10.4102/sajbm.v42i4.502.

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The ability to select effective human capital has long been viewed as the bedrock of the human resource function and a driver of organisational success. There is a plethora of literature available on recruitment and selection methodologies but little empirical evidence of the consequences to selection errors. Data was gathered on 393 incidents of selection errors across a wide range of industries. The symptoms and attribution of, and the wide-ranging consequences to, these selection errors were documented. Methods to rectify the selection error and the outcome of those attempts were also explo

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Chen, Lan Zhen, Long Shi Gao, and Chun Yang Jia. "The Candidate Enterprise Selection on Extended Evaluation Theory." Advanced Materials Research 139-141 (October 2010): 2700–2703. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2700.

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Nowadays the resource organization process has forced the investors to consider the candidate enterprises very carefully. To avoid the effect of the mutual relationships between the similar enterprises, it is helpful to evaluate the candidate enterprise comprehensively and objectively. An extension evaluation method for the candidate enterprise is presented on the analysis of the third party logistics enterprises. Firstly the measuring weights are determined using the AHP method; secondly, the dependent function is established, and calculates the qualification degree of each enterprise using t

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Pereira, Teresa, and Fernanda A. Ferreira. "An ERP selection using a hybrid methodology." Journal of Computational Methods in Sciences and Engineering 20, no. 3 (2020): 689–95. http://dx.doi.org/10.3233/jcm-194011.

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With this work, we developed a multi-criteria decision-making model to assess and select an Enterprise Resource Planning (ERP), using a multi-criteria decision analysis (MCDA). A hybrid multi-criteria methodology is used for the assessment and selection of an ERP, combining the MMASSI/IT methodology, which is used to both define the relevant family of criteria, based on their features and flexibility to change and adapt to a given scope, and the weight of criteria. Then, the well-known Analytic Hierarchy Process (AHP) methodology is used to perform the decision-makers’ value function elicitati

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Cullen, Breda, and Jonathan J. Evans. "Neuropsychology of memory function: a guide for clinicians." Social Care and Neurodisability 5, no. 2 (2014): 91–101. http://dx.doi.org/10.1108/scn-09-2013-0037.

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Purpose – This paper aims to summarise key models of the neuropsychology of memory function, illustrating how they can be used to inform the assessment and formulation of memory disorders in clinical practice. Design/methodology/approach – Models of short term and working memory, long-term memory and prospective memory are described. Commonly used tools and methods to assess these functions in adults are summarised. Findings – It is argued that a clearer understanding of models of memory function adds value to the process of cognitive assessment, guiding the selection of appropriate tests and

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Yu, Zhanke, Yanhua Zhang, Yan Guo, Mingfang Ni, and Jun Zhou. "Efficient relay selection and subcarrier assignment in cooperative OFDMA systems with QoS guarantees." MATEC Web of Conferences 189 (2018): 04013. http://dx.doi.org/10.1051/matecconf/201818904013.

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This paper investigates relay selection and subcarrier assignment in cooperative OFDMA systems with considerations of QoS requirements. The joint resource allocation problem is formulated as a 0-1 integer linear programming problem with the objective of maximizing the system throughput. The efficient joint optimal algorithm is proposed to tackle the problem. By using the penalty function, the complicating constraints are included in the objective function and the special model with a totally unimodular constraint coefficient matrix is constructed that could be solved rapidly as a linear progra

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Mosloff, Alisha R., Mitch D. Weegman, Frank R. Thompson, and Thomas R. Thompson. "Northern bobwhite select for shrubby thickets interspersed in grasslands during fall and winter." PLOS ONE 16, no. 8 (2021): e0255298. http://dx.doi.org/10.1371/journal.pone.0255298.

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Resource selection is a key component in understanding the ecological processes underlying population dynamics, particularly for species such as northern bobwhite (Colinus virginianus), which are declining across their range in North America. There is a growing body of literature quantifying breeding season resource selection in bobwhite; however, winter information is particularly sparse despite it being a season of substantial mortality. Information regarding winter resource selection is necessary to quantify the extent to which resource requirements are driving population change. We modeled

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Dawes, Sharon S. "Human Resource Implications of Information Technology in State Government." Public Personnel Management 23, no. 1 (1994): 31–46. http://dx.doi.org/10.1177/009102609402300103.

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This paper discusses the human resource implications of information technology in state government. It outlines how changing information technologies have strong influences on the nature and operation of public programs, on the structure and function of public organizations, and on the content of public service jobs. Within this larger context, we discuss specific human resource problems in five key areas: title structures; recruitment, testing and selection; performance appraisal, rewards and compensation; training and professional development; and civil service processes. The paper concludes

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Liu, Dingrong, Zhigang Yao, and Liukui Chen. "Emergency Scheduling Optimization Simulation of Cloud Computing Platform Network Public Resources." Complexity 2021 (April 24, 2021): 1–11. http://dx.doi.org/10.1155/2021/9950198.

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Emergency scheduling of public resources on the cloud computing platform network can effectively improve the network emergency rescue capability of the cloud computing platform. To schedule the network common resources, it is necessary to generate the initial population through the Hamming distance constraint and improve the objective function as the fitness function to complete the emergency scheduling of the network common resources. The traditional method, from the perspective of public resource fairness and priority mapping, uses incremental optimization algorithm to realize emergency sche

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Ruan, Lang, Jin Chen, Qiuju Guo, Xiaobo Zhang, Yuli Zhang, and Dianxiong Liu. "Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach." Information 9, no. 10 (2018): 253. http://dx.doi.org/10.3390/info9100253.

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In scenarios such as natural disasters and military strikes, it is common for unmanned aerial vehicles (UAVs) to form groups to execute reconnaissance and surveillance. To ensure the effectiveness of UAV communications, repeated resource acquisition issues and transmission mechanism designs need to be addressed urgently. Since large-scale UAVs will generate high transmission overhead due to the overlapping resource requirements, in this paper, we propose a resource allocation optimization method based on distributed data content in a Flying Ad-hoc network (FANET). The resource allocation probl

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Wang, Wei, Wan Tian Lu, Xiao Wei Liu, Dong Dong Jin, and Qing Li Wang. "Research and Development of Components Technology Selection Database Based on the Network." Advanced Materials Research 1061-1062 (December 2014): 1074–78. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1074.

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Aiming at our country existing components database has some shortages, such as the data is not complete, scope of shortcoming, we develop a parts optimization library on the network based on the data of large number of parts. Firstly, expounds the overall structure of the database and research on system information technology. And then elaborate the main function modules of the system. Lastly, test the validity and practicability of the system combined with a specific example. After verification, the system can be very good to meet the needs of the enterprise to the type of resource demand.

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Martins, Kleber S., Zaida Ortega, and Vanda L. Ferreira. "Calling site selection by male Boana punctata (Anura: Hylidae)." Amphibia-Reptilia 42, no. 3 (2021): 343–54. http://dx.doi.org/10.1163/15685381-bja10060.

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Abstract Amphibian species require specific conditions for reproduction, such as cover structures and shelters, in both aquatic and terrestrial habitats, which directly influence reproductive success. A careful selection of calling sites is an important process, driving life-history strategies and tactics in amphibians. Despite this, a significant knowledge gap on how different variables modulate amphibian microhabitat selection processes is noted. Thus, we aimed to: (1) describing the microhabitat use of adult neotropical Boana punctata males during the breeding season; and (2) quantitatively

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