Daniel P. Dougherty

ORCID: 0000-0003-4549-4123
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Research Areas
  • Data Visualization and Analytics
  • Microbial Metabolic Engineering and Bioproduction
  • Greenhouse Technology and Climate Control
  • thermodynamics and calorimetric analyses
  • Biofuel production and bioconversion
  • Complex Network Analysis Techniques
  • Listeria monocytogenes in Food Safety
  • Medical and Biological Sciences
  • Youth Development and Social Support
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Bioinformatics and Genomic Networks
  • Agriculture, Soil, Plant Science
  • Data Analysis with R
  • Electrochemical Analysis and Applications
  • Olfactory and Sensory Function Studies
  • Bullying, Victimization, and Aggression
  • Gene Regulatory Network Analysis
  • Remote Sensing in Agriculture
  • Enzyme Catalysis and Immobilization
  • Cognitive Science and Mapping
  • Groundwater and Isotope Geochemistry
  • Cancer and biochemical research
  • Scientific Research and Discoveries
  • Neurobiology and Insect Physiology Research
  • Chemical and Physical Properties in Aqueous Solutions

Amyris (United States)
2023

Michigan State University
2006-2013

Agricultural Research Service
2002-2006

North Carolina State University
2002-2006

The Ohio State University
2003-2006

University of Surrey
2005

Physical Sciences (United States)
2005

United States Department of Agriculture
2002

James Madison University
1999

A study was conducted to determine the reliability and repeatability of antibiotic resistance analysis as a method identifying sources fecal pollution in surface water groundwater. Four large sets isolates streptococci (from 2,635 5,990 per set) were obtained from 236 samples human sewage septage, cattle poultry feces, pristine waters. The patterns each four concentrations up nine antibiotics analyzed by discriminant analysis. When classified individually, average rate correct classification...

10.1128/aem.65.8.3483-3486.1999 article EN Applied and Environmental Microbiology 1999-08-01

Abstract Engineering microbes to synthesize molecules of societal value has historically been a time consuming and artisanal process, with the synthesis each new non-native molecule typically warranting its own separate publication. Because most microbial strain engineering efforts leverage finite number common metabolic design tactics, we reasoned that automating these steps would help create pipeline can quickly, cheaply, reliably generate so-called factories. In this work describe...

10.1101/2023.01.03.521657 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-01-03

We develop a mechanistic mathematical model of the G-protein coupled signaling pathway responsible for generating current responses in frog olfactory receptor neurons. The incorporates descriptions ligand-receptor interaction, intracellular transduction events involving second messenger cAMP, effector ion-channel activity, and calcium-mediated feedback steps. parameterized with respect to suction pipette recordings from single cells stimulated multiple odor concentrations. proposed...

10.1073/pnas.0504099102 article EN Proceedings of the National Academy of Sciences 2005-07-18

In many biological science and food processing applications, it is very important to control or modify pH. However, the complex, unknown composition of media foods often limits utility purely theoretical approaches modeling pH calculating distributions ionizable species. This paper provides general formulas efficient algorithms for predicting pH, titration, ionic species concentrations, buffer capacity, strength solutions containing both defined undefined components. A flexible,...

10.1021/jf0531508 article EN Journal of Agricultural and Food Chemistry 2006-07-15

A seminal study by Chi et al. firmly established the paradigm that novices categorize physics problems ``surface features'' (e.g., ``incline,'' ``pendulum,'' ``projectile motion,'' etc.), while experts use ``deep structure'' ``energy conservation,'' ``Newton 2,'' etc.). Yet, efforts to replicate frequently fail, since ability distinguish from turns out be highly sensitive problem set being used. Exactly what properties of are most important in sets discriminate a measurable way? To answer...

10.1103/physrevstper.8.020116 article EN cc-by Physical Review Special Topics - Physics Education Research 2012-11-12

Since it was first published 30 years ago, Chi et al.'s seminal paper on expert and novice categorization of introductory problems led to a plethora follow-up studies within outside the area physics [Chi al. Cognitive Science 5, 121 - 152 (1981)]. These frequently encompass "card-sorting" exercises whereby participants group problems. While this technique certainly allows insights into problem solving approaches, simple descriptive statistics more often than not fail find significant...

10.1103/physrevstper.8.010124 article EN cc-by Physical Review Special Topics - Physics Education Research 2012-05-18

We present three extensions to parallel coordinates that increase the perceptual salience of relationships between axes in multivariate data sets: (1) luminance modulation maintains ability preattentively detect patterns presence overplotting, (2) adding a one-vs.-all variable display highlights one and all others, (3) scatter plot within parallel-coordinates clusters spatial layouts without strongly interfering with display. These techniques can be combined another existing coordinates, two...

10.1117/12.907486 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2011-12-01

ABSTRACT We developed a mechanistic mathematical model for predicting the progression of batch fermentation cucumber juice by Lactococcus lactis under variable environmental conditions. In order to overcome deficiencies presently available models, we use dynamic energy budget approach dependence growth on present as well past When parameter estimates from independent experimental data are used, our is able predict outcomes three different temperature shift scenarios. Sensitivity analyses...

10.1128/aem.68.5.2468-2478.2002 article EN Applied and Environmental Microbiology 2002-05-01

Abstract We describe two methods for analysing a complex network which focus on examining changes in the transitive closure of under directed and stochastic attack its edges. Dynamic analysis (DTCA) examines critical path increasingly stringent edge length tolerance. Context specific DTCA is fuzzy extension DTCA, randomly perturbed contexts. find that such strategies allow researcher to identify highly connected elements within uncover related sub-networks. Application simulated random...

10.1080/10629360500107857 article EN Journal of Statistical Computation and Simulation 2006-03-01

10.1198/016214503000000837 article Journal of the American Statistical Association 2003-12-01

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Steven F. Wolf, Daniel P. Dougherty, Gerd Kortemeyer; Differentiating expert novice cognitive structures. AIP Conf. Proc. 22 January 2013; 1513 (1): 426–429. https://doi.org/10.1063/1.4789743 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar...

10.1063/1.4789743 article EN AIP conference proceedings 2013-01-01
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