Public Articles
Macro Homework #1
Homework 1:Macro
Application of Differential Equations: Example
Calidad para "Home Services"
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Book Chapter: Climate Change Epidemiology
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Early Postnatal Anesthesia Exposure Reduces White Matter Micro-organization in Macaques
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AASTex (v6.1) example article for Authorea
This example manuscript is intended to serve as a tutorial and template for authors to use when writing their own AAS Journal articles with Authorea. The manuscript includes a history of and documents the new features in the previous version, 6.0, as well as the new features in version 6.1. This manuscript includes figure and table examples to illustrate these new features. Authorea features a rich text editor so that you can write in LaTeX, Markdown, or rich text and render directly on the web. Authorea supports and renders the vast majority of LaTeX notation needed for AAS Journal articles. A few features provided by AASTex v6.1. that are not available in Authorea have been listed in this document. Authors are welcome replace the text, tables, figures, and bibliography with their own and submit the resulting manuscript to the AAS Journals peer review system. The first lesson in the tutorial is to remind authors that the AAS Journals, the Astrophysical Journal (ApJ), the Astrophysical Journal Letters (ApJL), and Astronomical Journal (AJ), all have a 250 word limit for the abstract. If you exceed this length the Editorial office will ask you to shorten it.
Mi primer ensayo
Biomechanical Gait Variable Estimation Using Wearables after Unilateral Total Knee Arthroplasty
Detection of Primary Nutrients Nitrogen (N), Phosphorous (P), Potassium (K) and pH from the soil using Smartphone.
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Promoting and Recognising Job-market Oriented Digital Competences of Youngsters with Open Badges
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Preparation of Papers for Communication of IEEE TAP (2013)
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These instructions give you guidelines for preparing papers for IEEE TRANSACTIONS and JOURNALS. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at IEEE. Define all symbols used in the abstract. Do not cite references in the abstract. Do not delete the blank line immediately above the abstract; it sets the footnote at the bottom of this column.
Neurophysiological assessment of the motor system in neuromotor disorders: an advanced signal processing approach
The aim is to assess the EEG based motor physiology in children with CP
Challenges - spatio temporal changes - objective method for extracting the spatial filters Propose to use an objective source separation + feature discrimination method: Reinmannian geometry based
We find these spatial filters We find the classification accuracy difference between the hemispheres is correlated with bimanual hand function (AHA) and unimanual hand function JTHHF. It also significantly contributes to both these hand function outcomes.
Which indicates that the imbalance separating the left vs right hand movements at the 2 hemispheres is more important than simply the performance of each hemisphere. No matter how well the uninjured hemisphere adapts, the larger the difference in performance between the 2 hemispheres the larger is the AHA score. is a contributing factor to hand function impairments.
- challenges - Gap - proposed method
We demonstrate an application of this method with the analysis of EEG data from a motor paradigm in children with unilateral spastic cerebral palsy (USCP).
OIL AND UNRELIABLE DATA
Thermal stability of hundreds of β-glucosidase point mutants allows evaluation of current predictive algorithims
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[Probably start with modeling]
A fundamental goal of biochemistry is understanding the intricate relationship between a protein sequence, its structure, and its function. Atomic-level knowledge of enzymes in particular has proven immensely challenging. Because we don't understand how enzymes work, the field of synthetic biology is unable to harness the catalytic power of enzymes for arbitrary chemical reactions.
Previous efforts to computationally model the relationship between the thermal stability of enzymes and point mutations in enzyme systems have relied on the addition of evolutionary information (Thompson) and, see CASP, have had success in creating models of proteins to an accuracy of X previously-believed to be impossible to model accurately. People have tried to model the biophysical constraints on protein evolution but there is rarely any actual mutational data to draw from (only the "fossil record" of known holomologues sequences and the evolutionary history of the organisms that we see a snapshot of) \cite{25165599}
Here, we measure the thermal denaturation temperature of 117 mutants of a family 1 glycoside hydrolase, BlgB. After generating models of each mutant, we combine the experimental data with 45 features (e.g., total system energy, ligand energy). A machine learning algorithm trained on the data is used to make a prediction for the thermal stability of 15 point mutants evenly sampled from the single nucleotide polymorphism--accessible space and 15 point mutants evenly sampled from the elastic net model.
The predictive model achieved a Pearson correlation coefficient of [...] in our tests, showing that [...]
Bagel uses residues E164, E353, and Y295 as catalytic residues \cite{Isorna_2007}
[Bagel enzyme in general, represents a common fold and evolutionary conserved function and diverse sequences that all fold the same way and have the same function, just residing in different organisms]
Evolutionary constraints limit protein evolvability in the sense that only certain mutations are physically possible (SNP-accessible, not divert folding trajectory) \cite{19765975}
RL5 Narrative
Acronyms Used: AMIA = American Medical Informatics Association; CIRD = Clinical Informatics Research Division; CTSA = Clinical and Translational Science Award; DEB = Department of Epidemiology and Biostatistics; DSRIP = Delivery System Reform Incentive Payment; EMR = Electronic Medical Record; GRECC = Geriatrics Research, Education and Clinical Center; GSBS = Graduate School of Biomedical Sciences; i2b2 = Integrating Informatics from Bench to Bedside; ICCS = International Conference on Computational Science; MSCI = Masters of Science in Clinical Investigation; NIA = National Institute of Aging; OAIC = Older Americans Independence Center; PCORI = Patient Centered Outcomes Research Institute; RCT = Randomized Controlled Trial; ReACH = REsearch to Advance Community Health; UTHSCSA = University of Texas Health Science Center at San Antonio; UTSA = University of Texas at San Antonio
practica 1
Publishing content online: Authorea or Issuu?
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Charts 9-11
COMP 330 - Homework - Team Project 1
Economía I -Unidad VI: Preguntas orientadoras para la lectura
Overleaf vs Authorea
Economía I -Unidad VI: Preguntas orientadoras para la lectura