This document lists publications by C. Harris spanning several domains:
- Machine learning applications in data science and exploration/production, including stock price prediction and genomic/biomarker discovery.
- Geophysics publications focused on seismic imaging techniques like migration, velocity modeling, and pay identification from well logs.
- Medical/biology publications involving biomarker and gene expression studies for diseases like lupus, rheumatoid arthritis, and inflammatory bowel disease. Many publications involve predicting outcomes like cancer recurrence or response to treatment.
Poster describing a global occurrence database of over 5 million records of the distributions of crops and their wild relatives, including taxonomic and geographic information.
Stanford University Neuroradiology Talks: Personalizing and Customizing AI Ex...Instituto Superior Técnico
Invited to present the work under development by Institute for Systems and Robotics (ISR-Lisboa) and Interactive Technologies Institute (ITI), the one-hour presentation and discussion were held in the 27th of October 2022. The work was presented remotely to the Department of Rad/Neuroimaging and Neurointervention at Stanford University in California. For this talk, I was invited to present our team, project, and work to the research team of Prof. Greg Zaharchuk. In the end, the presentation proposes and discusses how personalizing and customizing the answers coming from the AI outputs can positively affect the clinical workflow. Moreover, we present how those strategies are promoting the unbiased behavior of clinicians while improving the clinical workflow.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Poster describing a global occurrence database of over 5 million records of the distributions of crops and their wild relatives, including taxonomic and geographic information.
Stanford University Neuroradiology Talks: Personalizing and Customizing AI Ex...Instituto Superior Técnico
Invited to present the work under development by Institute for Systems and Robotics (ISR-Lisboa) and Interactive Technologies Institute (ITI), the one-hour presentation and discussion were held in the 27th of October 2022. The work was presented remotely to the Department of Rad/Neuroimaging and Neurointervention at Stanford University in California. For this talk, I was invited to present our team, project, and work to the research team of Prof. Greg Zaharchuk. In the end, the presentation proposes and discusses how personalizing and customizing the answers coming from the AI outputs can positively affect the clinical workflow. Moreover, we present how those strategies are promoting the unbiased behavior of clinicians while improving the clinical workflow.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
ISI 2024: Application Form (Extended), Exam Date (Out), EligibilitySciAstra
The Indian Statistical Institute (ISI) has extended its application deadline for 2024 admissions to April 2. Known for its excellence in statistics and related fields, ISI offers a range of programs from Bachelor's to Junior Research Fellowships. The admission test is scheduled for May 12, 2024. Eligibility varies by program, generally requiring a background in Mathematics and English for undergraduate courses and specific degrees for postgraduate and research positions. Application fees are ₹1500 for male general category applicants and ₹1000 for females. Applications are open to Indian and OCI candidates.
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
1. Data Science
Potential Pitfalls in Exploration and Production Applications of Machine Learning, C. Harris, SPE
Western North American and Rocky Mountain Joint Meeting, 2014, Denver, Colorado
Cross-validation techniques pivotal in ranking stock price prediction models. C Harris,
INFORMS 2010 Annual Meeting, Austin Texas, 2010
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using
Semi-Supervised Learning. Cole Harris and Noushin Ghaffari, BMC Genomics 2008, 9
(Supp 2);S7
Multi-objective optimization in the concurrent mining of disparate genomic datasets, C
Harris and P Hraber, Genetic and Evolutionary Computation Conference, Washington
DC, 2005
Discriminant analysis with unlabeled and mislabeled training data, C. Harris, Neural
Information Systems Processing 2000 workshop: Using Unlabeled Data for Supervised
Learning, Breckenridge 2000, invited talk
Geophysics
From core analysis to log-based pay identification on the Delaware Basin Wolfcamp formation,
Hennenfent, G., Hegmann, M., Harris, C., Schwartz, K., Interpretation 3, 3(2015), p. SV35-SV44
Formation Evaluation and Basin Architecture of the Wolfcamp Shale in the Delaware Basin,
Hennenfent, G., Hegmann, M., Harris, C., Schwartz, K., Houston, Applied Geoscience
Conference 2015, Houston Geological Society, Feb 16, 2015
MITAS, migration input trace aperture selection, C. Harris, M. Marcoux, and S. Bickel,
SEG 68th Annual Meeting, New Orleans 1998, Expanded Abstracts p. 1373-1376
Aperture selection to improve Kirchhoff depth imaging using the maximum depth
principle, C. Harris, M. Marcoux, and S. Bickel, 60th Conference and Technical Meeting,
Leipzig 1998, Extended Abstracts vol 1, paper 1-56
Efficient depth migration for complex overburden by global inversion of RMO, C.
Harris, EAGE 59th Conference and Technical Meeting, Geneva 1997, Extended
Abstracts vol 1, paper A019
3-D prestack time migration and velocity - Depth modeling in GOM: E Cameron and
Vermilion, Drummie, S., Gibson, R., Harris, C., Marcoux, M., O'Donnell, D., Schonbeck,
S., Williams, R. G., Heron, S., Martin, J. and Putnam, M., 1996 66th Ann. Internat. Mtg:
Soc. of Expl. Geophys., 551-554.
2. Accurate 3D time migration focusing in regions of lateral velocity gradients, C. Harris,
EAGE 58th Conference and Technical Meeting, Amsterdam 1996, Extended Abstracts
vol. 1, paper X019
Velocity modelling for depth migration using exact-time migration, Marcoux, M. O.,
Harris, C., Chernis, L. and Whiting, P., 1995, 11th Geophysical Conference, Austr. Soc.
Expl. Geophys., 26, 461-467.
Depth migration and modeling from exact time migration, 64th Ann. Internat. Mtg:
Marcoux, M. O., Harris, C. and Chernis, L., 1994 Soc. of Expl. Geophys., 1647-1650.
Smooth velocity-depth models from exact time migration, Marcoux, M. O., Chernis, L.
and Harris, C., 1993, 63rd Ann. Internat. Mtg: Soc. of Expl. Geophys., 681-683.
Feasibility of exact time migration velocity inversion in 3D, C. Harris, SEG 65th Annual
Meeting, Houston 1995, Expanded Abstracts p. 1018-1021
Medicine/Biology
Measurement of Cell-Bound Complement Activation Products Enhances Diagnostic
Performance in Systemic Lupus Erythematosus, Kalunian K, Chatham W, Massarotti E, Reyes-
Thomas J, Harris C, Furie R, Chitkara P, Putterman C, Gross R, Somers E, Kirou K, Ramsey-
Goldman R, Hsieh C, Buyon J, Dervieux T, Weinstein A, Arthritis Rheum. December 2012;
64(12):4040-7
Gene Expression Signatures Predictive of Infliximab Response in IBD. C. Harris, J.
Alsobrook, L. Davis, American College of Gastroenterology Annual Meeting,
Washington, DC, 2011, presentation P725
Transcriptional Patterns in Whole Blood Diagnostic of Systemic Lupus Erythematosus.
T. Costello, C. Harris, American College of Rheumatology Annual Meeting, Chicago,
2011, presentation 2261
Combinations of Anti-Citrullinated Peptide Antibodies with Rheumatoid Factor Isotypes
Reveal an Attribute Associated with Disease Activity in Rheumatoid Arthritis Patients
Treated with Methtrexate. Thierry Dervieux, Cole Harris, Joel M. Kremer, American
College of Rheumatology Annual Meeting, Chicago, 2011, presentation 329
The Contribution of Cell Bound Complement Activation Products to the Diagnosis of
Systemic Lupus Erythematosus. K. C. Kalunian, W. Chatham, E. M. Massarotti, C.
Harris, R. A. Furie, J. P. Buyon, E. F. Chakravarty, E. C. Somers, P. Chitkara, R. L.
Gross, K. A. Kirou, J. Reyes-Thomas, R. Ramsey-Goldman, C. Hsieh, C. Putterman, T.
Dervieux, A. Weinstein, American College of Rheumatology Annual Meeting, Chicago,
2011, presentation 597
3. Accurate differentiation between Crohn's Disease and Ulcerative Colitis using novel
biomarkers from peripheral blood specimens. Cole Harris, Thomas Ma, Jonathan A.
Leighton, Thomas Williams, Allison Treloar, Lisa Davis, John Alsobrook II, American
College of Gastroenterology Annual Meeting, San Antonio, 2010, poster presentation
P318
An integrated picture of IBD derived from mapping novel multi-genic disease markers
onto regulatory pathways. Harris C, Alsobrook J, Davis, L, American College of
Gastroenterology Annual Meeting, San Diego, 2009, poster presentation P314
Amplification patterns of three genomic regions predict distant recurrence in breast
carcinoma. Davis LM, Harris C, Tang L, Doherty P, Hraber P, Sakai Y, Bocklage T,
Doeden K, Hall B, Alsobrook J, Rabinowitz I, Williams TM, Hozier J. J Mol Diagn.
2007 Jul;9(3):327-36.
Invasive ductal and invasive lobular carcinoma show a similar amplification profile of
chromosomal markers prognostic for breast carcinoma recurrence. Carmichael B, Davis
L, Harris C, Tang L, Doherty P, Alsobrook J, Williams TM, Doeden K, Hall B,
Rabinowitz I, Hozier J, Bocklage T., San Antonio Breast Cancer Symposium, San
Antonio, 2006, poster presentation
Prediction of Lymph Node Status Utilizing Selective Genomic Fluorescence In Situ
Hybridization Markers in Invasive Breast Carcinoma, KS Doeden, T Bocklage, C Harris,
L Davis, P Doherty, P Hraber, L Tang, B Hall, I Rabinowitz, T Williams, J Hozier,
United States and Canadian College of Pathology Annual Meeting, San Antonio, 2005,
poster presentation
Novel Tests Based on Genomic Markers, Assay Tutorial: Improving the Clinical Utility
of Testing for Breast Cancer Recurrence, Suzanne Mattingly, Ph.D., Lisa Davis, Ph.D.,
and Cole Harris, Genetic Engineering News, Volume 25, Number 16, September 15,
2005
Discovery of multiplex genomic markers for predicting breast cancer recurrence, Harris
C., San Antonio Breast Cancer Symposium, San Antonio, 2004, poster presentation
Validation of multiplex genomic markers for predicting breast cancer recurrence in a
FISH assay format, Harris C., Doherty P., Hraber P., Tang L., Davis L., Bocklage T.
Doeden K., Hall B., Rabinowitz I., Williams T., Hozier J., San Antonio Breast Cancer
Symposium, San Antonio, 2004, poster presentation
Integration of CGH data and microarray gene expression data aids in the discovery of
DNA-based diagnostic tumor markers, C. Harris, American Society of Human Genetics
Annual Meeting, Los Angeles, 2003, poster presentation
4. Biomarker Discovery: Clinical and Research Applications, C. Harris, Annual Spring
Bioinformatics Workshop 2002, National Center for Genome Resources, Santa Fe,
invited talk