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Record W4214755756 · doi:10.1115/1.4023510

2012 Summer Bioengineering Conference Student Paper Competition

2013· article· en· W4214755756 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Biomechanical Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Library scienceEngineeringComputer scienceBiologyEcology

Abstract

fetched live from 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.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.218
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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