Dielectric Measurements of Ground Beef in Microwave Frequencies at Different Hydration Levels
Notice bibliographique
Résumé
Readily available animal tissue such as ground beef is a convenient material for mimicking the dielectric propertiesof biological tissue when validating microwave imaging and sensing hardware and techniques. The reliable use of these materialsdepends on the accurate characterization of their properties. Tissue water content is a dominant factor in microwave frequency tissueReadily available animal tissue such as ground beef is a convenient material for mimicking the dielectric properties of biological tissue when validating microwave imaging and sensing hardware and techniques. The reliable use of these materials depends on the accurate characterization of their properties. Tissue water content is a dominant factor in microwave frequency tissue properties, thus the effect of dehydration must be considered. The dependence of tissue properties on hydration is also important for new applications of microwave sensing for hydration monitoring. A new protocol for measuring the dielectric properties of heterogeneous tissue and rigorously analyzing the results is presented. The effect of dehydration on the permittivity and conductivity of ground beef samples is explored. A linear mixed effect model was employed to examine the impact of the frequency-dependent behaviour of the dielectric properties. As expected, dehydration impacts both the permittivity and conductivity of ground beef samples with a larger influence on permittivity.properties, thus the effect of dehydration must be considered. The dependence of tissue properties on hydration is also importaReadily available animal tissue such as ground beef is a convenient material for mimicking the dielectric properties of biological tissue when validating microwave imaging and sensing hardware and techniques. The reliable use of these materials depends on the accurate characterization of their properties. Tissue water content is a dominant factor in microwave frequency tissue properties, thus the effect of dehydration must be considered. The dependence of tissue properties on hydration is also important for new applications of microwave sensing for hydration monitoring. A new protocol for measuring the dielectric properties of heterogeneous tissue and rigorously analyzing the results is presented. The effect of dehydration on the permittivity and conductivity of ground beef samples is explored. A linear mixed effect model was employed to examine the impact of the frequency-dependent behaviour of the dielectric properties. As expected, dehydration impacts both the permittivity and conductivity of ground beef samples with a larger influence on permittivity.for new applications of microwave sensing for hydration monitoring. A new protocol for measuring the dielectric properties ofheterogeneous tissue and rigorously analyzing the results is presented. The effect of dehydration on the permittivity and conductivityof ground beef samples is explored. A linear mixed effect model was employed to examine the impact of the frequency-dependentbehaviour of the dielectric properties. As expected, dehydration impacts both the permittivity and conductivity of ground beefsamples with a larger influence on permittivity.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».