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A New Model Inspired by the Pompeii Worm to Reverse Overheating in Nanosatellites

Space(Science & Technology) 2023年第1期3卷 133-140页

作者： Ayşe MeriçYazıcı erik persson Department of Philosophy Lund UniversityLundSweden

Nanosatellites are exposed to extreme temperatures on the spacecraft surface,which can reach up to±100℃.In this paper,we suggest a novel solution to this challenge by the use of *** imitation of the behavior of living creatures in nature is an attempt to understand and synthesize a natural object or phenomenon in an abstract or concrete *** inspiration from living things in nature can come through the materials,processes,or designs we see around us,and there is no engineering effort *** nature,the best example of temperature reversal is the Pompeii *** Pompeii worm realizes the conversion of the excess heat it is exposed to into cooling inside a multilayered *** this work,inspired by the strategy of the Pompeii worm in reversing overheating,we present a new model for the overheating problem in nanosatellites.

关键词： form heating extreme

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Multiple symbols soft-decision metrics for coded frequency-shift keying signals

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Science China(Information Sciences) 2013年第2期56卷 49-56页

作者： MA Zheng persson Danie LARSSON erik G. FAN PingZhi Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University National Mobile Communications Research Laboratory Southeast University Department of Electrical Engineering Linkping University

This paper derives a novel multiple symbols soft-decision metrics for frequency-shift keying signals which are affected by additive symmetric α -stable (S α S) noise and fading. The approximate metric, which is for the case where channel state information (phases, amplitudes, and noise dispersion parameter) is unknown is obtained based on a generalized-likelihood ratio (GLR) approach. The metric is obtained in closed form and proved to be effective. The performances of the multiple symbols soft-decision metrics are compared numerically for a turbo-coded system. The proposed multiple symbols metric provides substantial improvement over earlier single-symbol metrics.

关键词： multiple symbols detection generalized likelihood ratio (GLR) symmetric α -stable (S α S) noise fading channel

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Compressively-strained GaSb nanowires with core-shell heterostructures

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Nano Research 2020年第9期13卷 2517-2524页

作者： Zhongyunshen Zhu Johannes Svensson Axel R.persson Reine Wallenberg Andrei V.Gromov Lars-erik Wernersson Departm ent of Electrical and Information Technology Lund UniversityBox 11822100 LundSweden Centre for Analysis and Synthesis Lund UniversityBox 12422100 Lundt Sweden NanoLund Lund UniversityBox 11822100 LundSweden EaStCHEM School of ChemistryUniversity of EdinburghEdinburgh EH93FJUK

GaSb-based nanowires in a gate-all-around geometry are good candidates for binary p-type transistors,however they require the introduction of compressive strain to enhance the transport ***,we for the first time demonstrate epitaxial GaSb-GaASxSb1-x core-shell nanowires with a compressively strained *** axial and hydrostatic strain in GaSb core have been measured by X-ray diffraction(XRD)and Raman scattering,*** optimal sample,almost without plastic relaxation,has an axial strain of-0.88%and a hydrostatic strain of-1.46%,leading to a noticeable effect where the light hole band is calculated to be 33.4 meV above the heavy hole band at the *** valence band feature offers more light holes to contribute the transport process,and thus may provide enhanced hole mobility by reducing both the interband scattering and the hole effective *** results show that lattice-mismatched epitaxial core-shell heterostructures of high quality can also be realized in the promising yet demanding GaSb-based system.

关键词： compressive strain GaSb-GaAsxSbi-x core-shell nanowires heterostructure p-type transistors

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Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications

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Forest Ecosystems 2024年第1期11卷 24-31页

作者： Goran Ståhl Terje Gobakken Svetlana Saarela Henrik J.persson Magnus Ekstrom Sean P.Healey Zhiqiang Yang Johan Holmgren Eva Lindberg Kenneth Nystrom Emanuele Papucci Patrik Ulvdal Hans OleØrka erik Næsset Zhengyang Hou Håkan Olsson Ronald E.McRoberts Department of Forest Resource Management Swedish University of Agricultural Sciences90183UmeåSweden Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life SciencesÅsNorway USDA Forest Service Rocky Mountain Research StationOgdenUTUSA The Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing Forestry UniversityBeijing100083China Department of Forest Resources University of MinnesotaSt.PaulMNUSA

Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics,and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for ***,wall-to-wall information typically relies on model-based prediction,and several features of model-based prediction should be understood before extensively relying on this type of *** such feature is that model-based predictors can be considered both unbiased and biased at the same time,which has important implications in several areas of *** this discussion paper,we first describe the conventional model-unbiasedness paradigm that underpins most prediction techniques using remotely sensed(or other)auxiliary *** this point of view,model-based predictors are typically ***,we show that for specific domains,identified based on their true values,the same model-based predictors can be considered biased,and sometimes severely *** suggest distinguishing between conventional model-bias,defined in the statistical literature as the difference between the expected value of a predictor and the expected value of the quantity being predicted,and design-bias of model-based estimators,defined as the difference between the expected value of a model-based estimator and the true value of the quantity being *** show that model-based estimators(or predictors)are typically design-biased,and that there is a trend in the design-bias from overestimating small true values to underestimating large true ***,we give examples of applications where this is important to acknowledge and to potentially make adjustments to correct for the design-bias *** argue that relying entirely on conventional model-unbiasedness may lead to mistakes in several areas of application that use predictions from remotely sensed data.

关键词： Bias Model-based inference Design-based inference

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