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Enregistrement W4214755756 · doi:10.1115/1.4023510

2012 Summer Bioengineering Conference Student Paper Competition

2013· article· en· W4214755756 sur OpenAlexaboutno aff

Notice bibliographique

RevueJournal of Biomechanical Engineering · 2013
Typearticle
Langueen
DomaineEngineering
ThématiqueBiomedical and Engineering Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCompetition (biology)Library scienceEngineeringComputer scienceBiologyEcology

Résumé

récupéré en direct d'OpenAlex

The Bioengineering Division sponsors a Student Paper Competition at the annual Summer Bioengineering Conference (SBC). There are three competition levels: Ph.D., M.S., and B.S. There are also cash awards for the top three student papers in each level. The competition is divided into multiple technical areas to provide for a fair evaluation of student work. We are pleased to recognize the following awardees from the 2012 SBC.First Place: Jeffrey D. Hyypio, University of Minnesota, “A Microscale Collagen-Fibrin Interacting Network Model With Comparison To Experimental Results.”Second Place: Kelly M. Seymour, Elizabethtown College, “Computational Analysis of Microstructure of Ultra High Molecular Weight Polyethylene for Total Joint Replacement.”Third Place: Bethany S. Powell, Valparaiso University, “The Effects of Shoe Architecture on Impact Forces During Gait: A Continuation Study.”First Place: David Schreier, University of Wisconsin “The Role of Collagen Synthesis in Ventricular and Vascular Adaptation to Hypoxic Pulmonary Hypertension.”Second Place: Joseph R. Dolensky, Georgia Tech, “The Effect of Pulmonary Hypertension on Tricuspid Valve Coaptation in Normal and Pathologic Valve Geometries: An in vitro Study.”Third Place: Daniel P. Brown, University of Pittsburgh, “The Effect of Anterior Dislocation on the Mechanical Properties of the Inferior Glenohumeral Ligament.”First Place: Stephanie Beeman, Virginia Tech, “Upper Body Kinematics of Relaxed Volunteers, Braced Volunteers, Hybrid III ATD, and PMHS in Low-Speed Frontal Sled Tests.”Second Place: Jason Miller, University of Washington, “Walking Mode Classification From Myoelectric and Inertial Fusion.”Third Place: Steven Boronyak, Vanderbilt University, “Biomechanical Effects of Radio Frequency Ablation With Simultaneous Cryogenic Anchoring.”First Place: Brianne K. Connizzo, University of Pennsylvania, “Altered Mechanical Properties and Fiber Realignment in Diabetic Mouse Supraspinatus and Achilles Tendons.”Second Place: Lauren Ferris, University of Kansas “A Performance Test to Assess Strategies to Transfer Weight During Knee Flexion and Extension With Rotation for Individuals With a Total Knee.”Third Place: Sarah Wohlman, Northwestern University, “A Biomechanical Model of the Thumb That Effectively Replicates Endpoint Forces Produced by Human Subjects and Measured in Anatomical Specimens.”First Place: Yasutaka Tobe, Waseda University “Investigation on a Relationship Between Hemodynamics and Wall-Thinning in an Unruptured Human Cerebral Aneurysm.”Second Place: Amy Silverstein, University of Pennsylvania, “Mesenchymal Stem Cell Morphology in a Fibrous Microenvironment With Length Scales Matching the Native Meniscus.”Third Place: Haijiao Liu, University of Toronto, “Characterization of the Elasticity of Valve Interstitial Cells on Soft Substrates Using Atomic Force Microscopy.”First Place: Christopher B. Arena, Virginia Tech/Wake Forest, “Phase Change Electrodes for Reducing Joule Heating During Irreversible Electroporation.”Second Place: Zhenpeng Qin, University of Minnesota, “Thermal Analysis Measurement of Gold Nanoparticle Interactions With Cell and Biomaterial.”Third Place: Thomas Claiborne, Stony Brook University, “Development and Optimization of a Novel Polymeric Prosthetic Heart Valve Using the Device Thrombogenicity Emulation Methodology.”First Place: Ian Campbell, Georgia Tech/Emory University, “Histology-Based, Lesion-Specific Modeling of Relative Stress Distributions Indicates Plaque Rupture Unlikely in Mice.”Second Place: Bahar Fata, University of Pittsburgh, “Regional Biomechanical and Microstructural Alterations of the Ovine Main Pulmonary Artery During Postnatal Growth.”Third Place: Lucas H. Ting, University of Washington, “Hemodynamic Shear Regulates Intercellular Forces and Permeability of Endothelial Cell Monolayers.”First Place: Christopher S. Szot, Virginia Tech/Wake Forest, “Characterizing the Phenotypic Response of Endothelial Cells Cultured on Proangiogenic in vitro Tumor Mimics.”Second Place: Bryce Whited, Virginia Tech, “A Nondestructive Fiber-Based Imaging System to Assess Tissue-Engineered Vascular Grafts.”Third Place: Véronique Peiffer, Imperial College London, “Age-Related Differences in Hemodynamics of the Rabbit Aorta and Comparison With Average Maps of Atherosclerotic Lesion Prevalence.”First Place: Sevan R. Oungoulian, Columbia University, “Articular Cartilage Wear Characterization With a Particle Sizing and Counting Analyzer.”Second Place: Andrew Meyer, University of Florida, “Evaluation of a Novel Statistical Method for EMG-to-Moment Estimation During Gait.”Third Place: Ryan Koppes, Rensselaer Polytechnic Institute, “Transient and Steady-State Force Enhancement in the Drosophila Jump Muscle.”First Place: Baptiste Coudrillier, Johns Hopkins University, “Effects of the Scleral Collagen Structure on the Biomechanical Response of the Optic Nerve Head.”Second Place: Michael Fernandez, Columbia University, “Direct Measurement of Human Cervical Tissue Permeability.”Third Place: Stefaan W. Verbruggen, National University of Ireland, Galway, “Loading-Induced Interstitial Fluid Flow in Bone Mechanobiology: An FSI Approach to the Osteocyte Environment.”First Place: Erik H. Clayton, Washington University-St. Louis, “Viscoelastic Properties of Living Human Brain by Local Frequency Estimation Applied to Distortional Wave Fields.”Second Place: Mohammad F. Hadi, University of Minnesota, “Microscale Fiber Network Structure Affects the Simulated Macroscale Failure of Collagen Gel Tissue Analogs.”Third Place: Sudhir Khetan, University of Pennsylvania, “Stem Cell Fate Within 3D Hydogels is Mediated by Network Structure-Dependent Traction Generation.”

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,855
Score d'incertitude au seuil0,890

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,218
Écart entre enseignants0,207 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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