656 research outputs found
Tracing Eastern Wolf Origins From Whole-Genome Data in Context of Extensive Hybridization
Southeastern Canada is inhabited by an amalgam of hybridizing wolf-like canids, raising fundamental questions regarding their taxonomy, origins, and timing of hybridization events. Eastern wolves (Canis lycaon), specifically, have been the subject of significant controversy, being viewed as either a distinct taxonomic entity of conservation concern or a recent hybrid of coyotes (C. latrans) and grey wolves (C. lupus). Mitochondrial DNA analyses show some evidence of eastern wolves being North American evolved canids. In contrast, nuclear genome studies indicate eastern wolves are best described as a hybrid entity, but with unclear timing of hybridization events. To test hypotheses related to these competing findings we sequenced whole genomes of 25 individuals, representative of extant Canadian wolf-like canid types of known origin and levels of contemporary hybridization. Here we present data describing eastern wolves as a distinct taxonomic entity that evolved separately from grey wolves for the past similar to 67,000 years with an admixture event with coyotes similar to 37,000 years ago. We show that Great Lakes wolves originated as a product of admixture between grey wolves and eastern wolves after the last glaciation (similar to 8,000 years ago) while eastern coyotes originated as a product of admixture between "western" coyotes and eastern wolves during the last century. Eastern wolf nuclear genomes appear shaped by historical and contemporary gene flow with grey wolves and coyotes, yet evolutionary uniqueness remains among eastern wolves currently inhabiting a restricted range in southeastern Canada
Wheeldon et al ECE3_693 Autosomal Microsatellite Data
Autosomal microsatellite genotypes of historical (pop 1) and contemporary (pop 2) coyotes from southeastern Ontario, eastern wolves (pop 3) from Algonquin Provincial Park, gray wolves (pop 4) from northeastern Ontario, and domestic dogs (pop 5)
Fabrication of bismuth ferrite nanoparticles via pulsed laser ablation in liquid
Bismuth ferrite (BFO) is a room-temperature multiferroic material which exhibits an above-bandgap photovoltaic response as well as photocatalytic properties. This interesting coupling of effects means that BFO may have many useful applications in fields ranging from solar energy generation to multifunctional electronic devices. Herein, bismuth ferrite nanoparticles are fabricated using pulsed laser ablation in liquid (PLAL), a quick, simple, green technique of nanostructure generation in which a bulk solid target is irradiated with incident pulsed laser light in a liquid. The extreme temperatures and pressures generated in the resulting plasma can result in novel nanostructures and even metastable phases of nanomaterials not otherwise able to be created. Raman spectroscopy indicates the fabrication of a metastable phase of tetragonal-like BFO nanoparticles by pulsed laser ablation in liquid. These nanoparticles are also shown to be very small and monodisperse. Bulk solid solutions of BFO were prepared by conventional solid state sintering. Raman spectra of the bulk BFO samples were in agreement with published spectra for rhombohedrally distorted phase BFO with R3c symmetry. The bulk BFO was then ablated via PLAL, varying parameters of laser wavelength, energy, and liquid composition. PLAL yielded colloidal solutions of nanoparticles which were then characterized. Furthermore post laser irradiation (PLI) was carried out upon the nanoparticle solutions resulting in smaller and more monodisperse nanoparticles.M.S.Includes bibliographical referencesby Tyler Christian Butle
Global restructuring and the auto industry
Publisher statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Cambridge Journal of Regions, Economy and Society following peer review. The definitive publisher-authenticated version: Bailey, D. , De Ruyter, A. , Michie, J. and Tyler, P. (2010) Global restructuring and the auto industry. Cambridge Journal of Regions, Economy and Society, volume 3 (3): 311-318. is available online at: http://dx.doi.org/10.1093/cjres/rsq02
A partial state collocation method for covariance optimal control
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged student-submitted from PDF version of thesis.Includes bibliographical references (pages 121-123).An overview is presented for two methods of incorporating the covariance in an optimal control problem. Including the covariance in the optimal control problem can be beneficial in the field of navigation where it is desirable to design trajectories which either minimize navigation error or maximize observability for instrument calibration. The full state collocation method uses Legendre Gauss Radau collocation to discretize the deterministic states and controls as well as the unique elements of the covariance matrix. The problem is then transcribed to a nonlinear progamming problem (NLP) and is solved with an NLP solver. This method, however, results in problems with many constraints and variables, which is computationally expensive. The partial state collocation method, the main focus of this thesis, collocates the deterministic states and controls but uses a shooting method to incorporate the covariance matrix. The problem is then transcribed to a nonlinear programming problem, which has fewer constraints and variables than the full state collocation method. Both of these methods are demonstrated by solving for the trajectory that minimizes the final position uncertainty for a spacecraft reentering Earth's atmosphere. The problem is tested with different sized covariance matrices, which shows how the time it takes to solve the problem increases as the covariance matrix increases in size. The partial state collocation method is generally faster and converges in fewer NLP iterations than the full state collocation method. As the covariance matrix increases in size, the time it takes to solve the problem increases at a smaller rate for the partial state collocation method.by Tyler J. Kapolka.S.M
The New Fugitive
Cry \u27Havoc!\u27 and Let Slip the Dogs of War, by James Rainsford
I Can\u27t Believe It\u27s Not Legal, by J. Tyler Lee, Jr.
It Was the One-Armed Author, by John Kinard
Spell-Check: Racisim or Pragmatism, by Jaymes Rainsford
Horoscopes from an Irish Wench, by Alissa Cooper
Coming Attraction
Memory Compression, Predictive Coding, and Temporal Overlap as a Computational Basis for Déjà Vu
This project develops a computational memory framework explaining déjà vu using established principles from predictive coding, memory compression, and hippocampal pattern completion. The account proposes that déjà vu arises when current perceptual input partially overlaps with compressed mnemonic representations, producing a false familiarity signal in the absence of a corresponding episodic memory. A slight predictive lead or temporal overlap in processing can amplify this effect, creating the brief but vivid impression of prior occurrence.
The attached whitepaper outlines the formal mechanism, including pattern collision and temporal compression, and provides falsifiable predictions for behavioral and neuroimaging studies. The framework avoids speculative explanations and situates déjà vu within standard models of cortical prediction and hippocampal computation.
Author: Tyler J. Goodell
Independent Researcher in Memory & Perceptio
Inducing Fe moment in LaFeSi with p-block element substitution
We studied the LaFeSi phase using density functional theory based full-potential linearized augmented plane wave (FP-LAPW) method. Specifically we examined the effect of p-element substitution on the stability and magnetic properties focusing on pathways to induce Fe magnetic moments. We demonstrate that either partial or complete substitutions at the Si 2 c-site by several p-block elements lead to non-zero Fe moments. Our theoretical study shows that partially substituted LaFeSi 1-y Ga y and LaFeSi 1-y Al y are more thermodynamically stable than the fully substituted LaFeGa and LaFeAl. We also found that the P substitutions, either partial or complete, have the most negative formation energies, however the compounds containing phosphorus are non-magnetic. Our work highlights a pathway toward manipulations of the otherwise quenched Fe-moments in LaFeSi-related compounds and help in advancing the potential magnetic functionalities of LaFeX compounds.This article is published as Chouhan, Rajiv K., Tyler J. Del Rose, Yaroslav Mudryk, and Vitalij K. Pecharsky. "Inducing Fe moment in LaFeSi with p-block element substitution." AIP Advances 12, no. 3 (2022): 035130.
DOI: 10.1063/9.0000334.
Copyright 2022 The Author(s).
Attribution 4.0 International (CC BY 4.0).
Posted with permission.
DOE Contract Number(s): AC02-07CH11358
Religious Communities and Human Flourishing
Tyler J. VanderWeele, PhD, is the John L. Loeb and Frances Lehman Loeb Professor of Epidemiology in the Departments of Epidemiology and Biostatistics at the Harvard T.H. Chan School of Public Health, and director of the Human Flourishing Program and co-director of the Initiative on Health, Religion and Spirituality at Harvard University.
He holds degrees from the University of Oxford, University of Pennsylvania, and Harvard University in mathematics, philosophy, theology, finance and biostatistics. His methodological research is focused on theory and methods for distinguishing between association and causation in the biomedical and social sciences and, more recently, on psychosocial measurement theory.
His empirical research spans psychiatric and social epidemiology; the science of happiness and flourishing; and the study of religion and health. He is the recipient of the 2017 Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS). He has published over 400 papers in peer-reviewed journals; is author of the books Explanation in Causal Inference (2015), Modern Epidemiology (2021), and Measuring Well-Being (2021); and also writes a monthly blog posting on topics related to human flourishing for Psychology Today
Impact of pre‐treatment (soaking or germination) on nutrient and anti‐nutrient contents, cooking time and acceptability of cooked red dry bean ( Phaseolus vulgaris L.) and chickpea ( Cicer arietinum L.) grown in Ethiopia
Pulses are processed in diverse ways prior to consumption. Soaking and germination are among the most common traditional, household‐level food processing strategies. This study was carried out to determine the effects of soaking, germination, cooking and their combinations on the contents of selected nutrients and anti‐nutrients of red dry bean and chickpea. In addition, the effects of pre‐treatment on cooking time and the acceptability of dishes prepared from red dry bean and chickpea were determined. The nutrient compositions (zinc, iron and calcium) of most soaked‐cooked and germinated‐cooked red dry bean and chickpea samples were not significantly different than those of respective controls. However, soaking and germination pre‐treatments significantly lowered the phytate and tannin contents of the red dry bean and chickpea samples, with a few exceptions, and overall, polyphenol contents were lower after soaking‐cooking than after germination‐cooking. Most scores for sensory attributes of bean‐based and chickpea‐based dishes prepared from soaked or germinated samples were not significantly different than those of the controls. For most red dry bean and chickpea samples, longer germination times yielded superior results in terms of reductions in cooking time, tannin content, and phytate:zinc and phytate:iron molar ratio
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