2,532 research outputs found

    Sampling Technique for Larvae of the Alfalfa Snout Beetle, \u3ci\u3eOtiorhynchus Ligustici\u3c/i\u3e (Coleoptera: Curculionidae)

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    This paper presents a sampling procedure for estimating larval populations of the alfalfa snout beetle, Otiorhynchus ligustici. The method is based on counts of the larvae taken in 16 x 16 cm quadrats of soil during early fall when the grubs are in their final two instars and feeding just below the crowns of the plant. Analysis of sampling variability showed that 200 quadrats per field are necessary to obtain adequate precision for intensive population studies but that 50 quadrats are sufficient for survey work. The pattern of counts was overdispersed but conformed to the negative binomial distribution

    Is That Your Final Decision? Multi-Stage Profiling, Selective Effects, and Article 22 of the GDPR

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    Provisions in many data protection laws require a legal basis, or at the very least safeguards, for significant, solely automated decisions; Article 22 of the GDPR is the most notable. - Little attention has been paid to Article 22 in light of decision-making processes with multiple stages, potentially both manual and automated, and which together might impact upon decision subjects in different ways. - Using stylised examples grounded in real-world systems, we raise five distinct complications relating to interpreting Article 22 in the context of such multi-stage profiling systems. - These are: the potential for selective automation on subsets of data subjects despite generally adequate human input; the ambiguity around where to locate the decision itself; whether 'significance' should be interpreted in terms of any potential effects or only selectively in terms of realised effects; the potential for upstream automation processes to foreclose downstream outcomes despite human input; and that a focus on the final step may distract from the status and importance of upstream processes. - We argue that the nature of these challenges will make it difficult for courts or regulators to distil a set of clear, fair and consistent interpretations for many realistic contexts

    Bevalac calibration of the SOFIE range and hodoscope detectors

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    The scintillating optical fiber isotope experiment (SOFIE) is a Cerenkov-dE/dx-Range experiment which was developed initially for balloon flight to study the isotopic composition of cosmic rays in the iron region. The electronic range and hodoscope detectors use scintillating optical fibers to image the tracks of stopping charged particles and to determine their trajectory. The particle range is determined and used together with a Cerenkov measurement to determine the mass of the stopping particle. Preliminary results of a Bevalac calibration performed in August, 1984 with a prototype of the balloon flight instrument, to study the measurement precision in range and trajectory which could be attained with this detector are described

    Germination responses of a dry sclerophyll forest soil-stored seedbank to fire related cues

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    Fire is an integral component of many ecosystems worldwide. Many plant species require fire-related cues, primarily heat and smoke, to trigger germination. Despite the importance of this process, the responses of many Australian species to these cues are unknown. Without this knowledge fire management strategies may be developed that are inappropriate for individual species and vegetation communities. In this study we examined the responses of a dry sclerophyll forest seed bank to heat and smoke germination cues. Analysis was possible for 48 taxa within the soil seedbank with 34 of these showing a response to one or both of the germination cues. 10 species responded to the heat treatment, 11 species responded to the smoke treatment and 13 species responded to both the heat and smoke treatments. Germination cues acted independently for all species considered. Results in this study were consistent with published reports for most species, although some differences were seen at the species and genus level. The study highlights the importance of fire-related cues in enhancing germination of a large proportion of the species occurring in dry sclerophyll forests

    When Data Protection by Design and Data Subject Rights Clash

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    • Data Protection by Design (DPbD), a holistic approach to embedding principles in technical and organisational measures undertaken by data controllers, building on the notion of Privacy by Design, is now a qualified duty in the GDPR. • Practitioners have seen DPbD less holistically, instead framing it through the confidentiality-focussed lens of Privacy Enhancing Technologies (PETs). • While focussing primarily on confidentiality risk, we show that some DPbD strategies deployed by large data controllers result in personal data which, despite remaining clearly reidentifiable by a capable adversary, make it difficult for the controller to grant data subjects rights (eg access, erasure, objection) over for the purposes of managing this risk. • Informed by case studies of Apple’s Siri voice assistant and Transport for London’s Wi-Fi analytics, we suggest three main ways to make deployed DPbD more accountable and data subject–centric: building parallel systems to fulfil rights, including dealing with volunteered data; making inevitable trade-offs more explicit and transparent through Data Protection Impact Assessments; and through ex ante and ex post information rights (arts 13–15), which we argue may require the provision of information concerning DPbD trade-offs. • Despite steep technical hurdles, we call both for researchers in PETs to develop rigorous techniques to balance privacy-as-control with privacyas-confidentiality, and for DPAs to consider tailoring guidance and future frameworks to better oversee the trade-offs being made by primarily wellintentioned data controllers employing DPbD

    Radon measurements in mines and dwellings

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