نتایج جستجو برای: feeding deterrents

تعداد نتایج: 111125  

Journal: :Management Insight - The Journal of Incisive Analysers 2018

2006
Vladimir Zadorozhny Prashant Krishnamurthy

Data Intensive Mobile Sensor Networks (DIMSNs) introduce a promising but still under-utilized technology. Meanwhile, there is a growing confidence that certain applications (Killer Apps) have a potential to create a sustained market for this technology. For example, a large team of cooperative mobile robots can be considered as a wireless sensornet composed of a number of mobile nodes most of w...

2017
Jerrold L. Belant Thomas W. Seamans Laura A. Tyson JERROLD L. BELANT

The authors evaluated the effectiveness of the motion-activated Usonic Sentry (with and without strobe), motion-activated Yard Gard, and Electronic Guard for deterring white-tailed deer (Odocoileus virginianus) from preferred feeding areas from February to April 1996. Two four-week experiments were conducted, monitoring deer use (number of intrusions and corn consumption) at eight feeding stati...

2012
Steffen Christensen Martin B Johansen Lars Pedersen Reinhold Jensen Kim M Larsen Anders Larsson Else Tønnesen Christian F Christiansen Henrik T Sørensen

INTRODUCTION Alcoholic patients comprise a large proportion of patients in intensive care units (ICUs). However, data are limited on the impact of alcoholism on mortality after intensive care. METHODS We conducted a cohort study among 16,848 first-time ICU patients between 2001 and 2007 to examine 30-day and 3-year mortality among alcoholic patients. Alcoholic patients with and without compli...

Journal: :Journal of Innovation and Entrepreneurship 2022

Abstract The paper aims to analyze firm-specific deterrents of innovation in Bahirdar city MSEs Ethiopia. In order attain the objective study, both descriptive and explanatory research method is used. this paper, data were drawn from 310 firms which selected by using a simple random sampling technique. analyzed inferential statistics include mean, standard deviation, binary logistic regression ...

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