10,209 research outputs found
Letter Written by Thomas W. Moran to the Bryant College Service Club Dated February 2, 1943
No full text[Transcription begins] 85th Q. M. Co. Camp Shelby, Miss. February 2, 1943
To Whom It May Concern:
I received the enclosed letter today in the mail. I am sorry to have received this letter because I did acknowledge receipt in a card of thanks for the two packages of nice candy which I received several days before Christmas. No doubt my letter to you was lost in the Christmas mail. However, I wish to thank your fine club anew for your thoughtfulness of us boys in the various services of our country, and may I assure you of my appreciation. Please be informed that the name and address on your letter was my old civilian address, and not my father’s address, which is:
Mr. T. H. Moran Jericho, Vermont
That is the reason this letter has been forwarded to me.
I saw Mr. Richards while on my furlough in January and told him that I had received the package from the club.
Yours sincerely, Thomas W. Moran [Transcription ends
Low noise high performance 50nm T-gate metamorphic HEMT with cut-off frequency f<sub>T</sub> of 440 GHz for millimeterwave imaging receivers applications
No full textThe 50 nm m-HEMT exhibits extremely high f<sub>T</sub>, of 440GHz, low F<sub>min</sub> of 0.7 dB, associated gain of 13 dB at 26 GHz with an exceptionally high Id of 200 mA/mm and gm of 950 ms/mm at low noise biased point
Measurement of the t t ¯ H and tH production rates in the H → b b ¯ decay channel using proton-proton collision data at s = 13 TeV
No full textAbstract An analysis of the production of a Higgs boson (H) in association with a top quark-antiquark pair ( t t ¯ H ) or a single top quark (tH) is presented. The Higgs boson decay into a bottom quark-antiquark pair (H → b b ¯ ) is targeted, and three different final states of the top quark decays are considered, defined by the number of leptons (electrons or muons) in the event. The analysis utilises proton-proton collision data collected at the CERN LHC with the CMS experiment at s = 13 TeV in 2016–2018, which correspond to an integrated luminosity of 138 fb −1. The observed t t ¯ H production rate relative to the standard model expectation is 0.33 ± 0.26 = 0.33 ± 0.17(stat) ± 0.21(syst). Additionally, the t t ¯ H production rate is determined in intervals of Higgs boson transverse momentum. An upper limit at 95% confidence level is set on the tH production rate of 14.6 times the standard model prediction, with an expectation of 19.3 − 6.0 + 9.2 . Finally, constraints are derived on the strength and structure of the coupling between the Higgs boson and the top quark from simultaneous extraction of the t t ¯ H and tH production rates, and the results are combined with those obtained in other Higgs boson decay channels
Der historische Prozess des räumlichen Moran-Modells mit Selektion und Mutation
No full textWe consider a spatial, locally finite and multitype population model, the Moran model, in which each individual of the population inhabits a site in geographic space and has a genetic type. The evolution of the population is given by migration, type-dependent mutation, resampling and selection, and the large population limit leads to a collection of spatially interacting Fleming-Viot processes.
This thesis is dedicated to investigate the evolution of genealogical information of the Moran model forward in time. More precisely, we construct a path-valued Markov process, the historical process of the Moran model, in which we assign to each individual alive at time its extended ancestral line. The collection of extended ancestral lines contains the ancestral line of each individual and the genealogical distance of each pair of individuals alive at time . We analytically characterize the historical process of the Moran model by means of a well-posed martingale problem, where we have to use a refined Liggett-Spitzer space to describe the evolution of genealogical information of a locally finite Moran population.
The main tool is a Feynman-Kac duality for the historical process of the Moran model. The dual process, which we call historical backward process, in a natural way generates the extended ancestral lines backward in time, where it is driven by new kinds of mechanisms compared to the known duals for the Moran model. It is the huge amount of genealogical information contained in the extended ancestral lines that gives rise to this historical backward process, however a functional of the historical backward process evolves as a (site,type)-marked coalescent if the initial site-type distribution in the Moran model is nice and there is no selection.
The main result is a stochastic representation for the conditional law of the extended ancestral lines of a subpopulation alive at a fixed time given the site-type information of the subpopulation at this time in terms of a transformation of the historical backward process arising by a special change of measure, where the transformed backward process is a time-inhomogeneous Markov process which turns out to be time-homogeneous if the site-type information of the Moran model is in equilibrium. In addition, our special change of measure is a new way to transform a general Markov process and in a special case it is the compensated -transform of such a Markov process.
As an application we obtain that the law of the extended ancestral lines of a subpopulation alive at time converges in the limit if the law of the site-type information of the population alive at time converges. In addition, we give an explicit representation for the expected fixation time of a -dimensional Fisher-Wright diffusion and determine for the case where the population is located at one site and there is neither mutation nor selection the distribution function for the conditional law of the genealogical distance of two individuals alive at time given the types of these two individuals at this time .Wir betrachten ein räumliches und lokal endliches Populationsmodell, das Moran-Modell, in welchem ein jedes der Individuen der Population einen geographischen Ort besiedelt und einen von endlich vielen verschiedenen genetischen Typen hat. Die Evolution der Population ist durch Migration, typenabhängige Mutation, Resampling und Selektion gegeben. Der Diffusionslimes führt zu einer Kollektion von räumlich interagierenden Fleming-Viot-Prozessen.
In dieser Dissertation widmen wir uns der Untersuchung der Evolution genealogischer Information vorwärts in der Zeit. Wir konstruieren explizit einen pfadwertigen Markovprozess, den historischen Prozess des Moran-Modells, wobei wir jedem Individuum, welches zur Zeit lebt, seine erweiterte Ahnenlinie zuweisen. Die Kollektion von erweiterten Ahnenlinien enthält sowohl die Ahnenlinie eines jeden Individuums als auch die genealogische Distanz eines jeden Paares von Individuen, die zur Zeit leben. Wir charakterisieren den historischen Prozess des Moran-Modells analytisch mit Hilfe eines gut gestellten Martingalproblems, wobei wir einen weiterentwickelten Liggett-Spitzer-Raum verwenden, um die Evolution genealogischer Information einer lokal endlichen Population zu beschreiben.
Das wichtigste Instrument ist eine Feynman-Kac-Dualität für den historischen Prozess des Moran-Modells. Der duale Prozess, welchen wir als historischen Rückwärtsprozess bezeichnen, erzeugt auf natürliche Weise die erweiterten Ahnenlinien rückwärts in der Zeit. Dabei wird der historischen Rückwärtsprozess, verglichen mit den bekannten dualen Prozessen des Moran-Modells, von ganz neuen Mechanismen gesteuert. Die von den erweiterten Ahnenlinien beschriebene enorme Menge an genealogischer Information ist der Grund für diesen historischen Rückwärtsprozess, jedoch evolviert ein Funktional des historischen Rückwärtsprozesses wie ein (Ort,Typ)-markierter Koaleszent, wenn die Orte und die Typen im Moran-Modell am Anfang schön verteilt sind und keine Selektion vorliegt.
Das Hauptresultat ist eine stochastische Darstellung der bedingten Verteilung der erweiterten Ahnenlinien einer Teilpopulation, die zu einer festen Zeit lebt, gegeben die Ort-Typ Information der Teilpopulation zu dieser Zeit mittels einer Transformation des historischen Rückwärtsprozesses, die durch einen speziellen Maßwechsel zustande kommt. Dabei ist der transformierte Rückwärtsprozess ein im Allgemeinen zeitinhomogener Markovprozess, welcher aber zeithomogen ist, falls die Ort-Typ Information des Moran-Modells im Equilibrium ist. Zudem ist unser spezieller Maßwechsel, der in einem Spezialfall die kompensierte -Transformierte eines Markovprozesses ist, eine neue Art und Weise einen allgemeinen Markovprozess zu transformieren.
Als Anwendung erhalten wir, dass die Verteilung der erweiterten Ahnenlinien einer Teilpopulation, die zur Zeit lebt, im Limes konvergiert, falls die Verteilung der Ort-Typ Information der Population zur Zeit konvergiert. Zudem geben wir eine explizite Darstellung für die erwartete Fixationszeit einer -dimensionalen Fisher-Wright Diffusion und bestimmen für den Fall, dass die Population an einem Ort lebt und es weder Mutation noch Selektion gibt, die bedingte Verteilung der genealogischen Distanz zweier Individuen, die zur Zeit leben, gegeben die Typen dieser zwei Individuen zur Zeit
Perception of the importance of chemistry research papers and comparison to citation rates
No full textPublished as:
Borchardt R, Moran C, Cantrill S, Chemjobber , Oh SA, Hartings MR (2018) Perception of the importance of chemistry research papers and comparison to citation rates. PLoS ONE 13(3): e0194903. https://doi.org/10.1371/journal.pone.0194903Chemistry researchers are frequently evaluated on the perceived significance of their work with the citation count as the most commonly-used metric for gauging this property. Recent studies have called for a broader evaluation of significance that includes more nuanced bibliometrics as well as altmetrics to more completely evaluate scientific research. To better understand the relationship between metrics and peer judgements of significance in chemistry, we have conducted a survey of chemists to investigate their perceptions of previously published research. Focusing on a specific issue of the Journal of the American Chemical Society published in 2003, respondents were asked to select which articles they thought best matched importance and significance given several contexts: highest number of citations, most significant (subjectively defined), most likely to share among chemists, and most likely to share with a broader audience. The answers to the survey can be summed up in several observations. The ability of respondents to predict the citation counts of established research is markedly lower than the ability of those counts to be predicted by the h-index of the corresponding author of each article. This observation is conserved even when only considering responses from chemists whose expertise falls within the subdiscipline that best describes the work performed in an article. Respondents view both cited papers and significant papers differently than papers that should be shared with chemists. We conclude from our results that peer judgements of importance and significance differ from metrics-based measurements, and that chemists should work with bibliometricians to develop metrics that better capture the nuance of opinions on the importance of a given piece of research
Johnny Moran, kziff, Kzan
No full textvoiceCollected by Joe Moore Sung by Mr. D. L. (Lon) Moore
For M. C. Parler Fayetteville, Arkansas
January 3, 1965
Reel 380 Item 7
Johnny Moran
Oh, who will squeeze my little girl's hand, little girl's hand,
Oh, who will squeeze my little girl's hand, little girl's hand,
Oh, who will squeeze my little girl's hand, when I am far away.
Chorus:
Johnny Moran, kziff, Kzan Kalamazoo, Lake Michigan, for I'm a bold, bad man.
Oh, who will take my girl to ride, girl to ride,
Oh, who will take my girl to ride, girl to ride,
Oh, who will take my girl to ri--d—e,
when I'm far away.
Chorus
Oh, who will wear my tooth pick shoes, toothpick shoes,
Oh, who will wear my toothpick shoes, toothpick shoes,
Oh, who will wear my toothpick sh—o—e—s,
when I am far away.
Chorus
Oh, who will feed my yellow dog, yellow dog,
Oh, who will feed my yellow dog, yellow dog,
Oh, who will feed my yellow d—o—g,
When I am far away.
Chorus
Oh, who will wear my stove pipe hat, stove pipe hat,
Oh, who will wear my stove pipe hat, stove pipe hat,
Oh, who will wear my stove pipe h—a—t,
When I'm far away.
Chorus
20Funding for digitization provided by the Arkansas Humanities Council and the Happy Hollow Foundation
Gastric branch vagotomy blocks nutrient and cholecystokinin-induced suppression of gastric emptying
No full text Pages R630–R637: G. J. Schwartz, G. Berkow, P. R. McHugh, and T. H. Moran. “Gastric branch vagotomy blocks nutrient and cholecystokinin-induced suppression of gastric emptying.” Page R361: An incorrect formula was used to calculate the volume remaining. The correct formula appears below. V = (Cs/Ci){[5/(1 – Co/Cs)] – 5} where Cs, is the concentration of dye in the stomach before saline rinse. The other factors remain as described in the article. This error resulted in a small underestimation of the magnitude of the reported phenomena in a few cases and does not alter the main findings, conclusions, or interpretations of this study. </jats:p
Gastric branch vagotomy blocks nutrient and cholecystokinin-induced suppression of gastric emptying
No full text Pages R630–R637: G. J. Schwartz, G. Berkow, P. R. McHugh, and T. H. Moran. “Gastric branch vagotomy blocks nutrient and cholecystokinin-induced suppression of gastric emptying.” Page R361: An incorrect formula was used to calculate the volume remaining. The correct formula appears below. V = (Cs/Ci){[5/(1 – Co/Cs)] – 5} where Cs, is the concentration of dye in the stomach before saline rinse. The other factors remain as described in the article. This error resulted in a small underestimation of the magnitude of the reported phenomena in a few cases and does not alter the main findings, conclusions, or interpretations of this study. </jats:p
Generating spatially-constrained null models for irregularly spaced data using Moran spectral randomization methods
No full textThis is the accepted manuscript of an article published by Wiley. The manuscript does not include figures. To view figures, please consult the publisher's version of this article.1. Spatial autocorrelation jeopardizes the validity of statistical inference, e.g., correlation and regression analysis. Restricted randomization methods can account for the effect of spatial autocorrelation in the observed data by building it into an empirical null model for hypothesis testing. This can be achieved e.g. based on conditional simulation, which fits a highly parameterized geostatistical model to the observed spatial structure, or, for data observed on a regular transect or grid, with Fourier spectral randomization methods that can flexibly model spatial structure at any scale. This paper uses Moran eigenvector maps to extend spectral randomization to irregularly spaced samples.
2. We present different algorithms to perform restricted randomization to suit different types of research questions: individual randomization of each variable, joint randomization of a group of variables while keeping within-group correlations fixed, and randomization with a fixed correlation between original data and randomized replicates (e.g., as input for simulation studies). The performance of the proposed Moran spectral randomization methods for regularly and irregularly spaced samples is assessed with correlation analysis of simulated data.
3. Moran spectral randomization closely matched the spatial structure of original simulated data sets, with identical or nearly identical Moran’s I values and power spectra, depending on the algorithm. In correlation analysis of two stationary spatially autocorrelated variables, Moran spectral randomization produced correct type I error rates for stationary spatial data, even for very small and highly irregular samples, but was sensitive to linear trend. When one or both variables lacked spatial structure, Moran spectral randomization tests were more conservative than correlation t-tests.
4. The proposed Moran spectral randomization method requires a minimum of parameterization and is able to address multivariate data with spatial structure at multiple scales, with the option of controlling levels of correlation with the original data. It can provide technically unlimited numbers of randomizations even for small samples while closely maintaining the spatial characteristics of uni- or multivariate data at all spatial scales. The method is applicable for correlation analysis of stationary, autocorrelated spatial or temporal series. Further research should assess whether the method can be extended to multiple regression analysis.This research was supported by a NSERC Discovery Grant to HHW
Search for production in the decay channel with leptonic decays in proton-proton collisions at 13 TeV
No full textA search is presented for the associated production of a standard model Higgs boson with a top quark-antiquark pair (), in which the Higgs boson decays into a b quark-antiquark pair, in proton-proton collisions at a centre-of-mass energy 13 TeV. The data correspond to an integrated luminosity of 35.9 fb recorded with the CMS detector at the CERN LHC. Candidate events are selected that contain either one or two electrons or muons from the decays and are categorised according to the number of jets. Multivariate techniques are employed to further classify the events and eventually discriminate between signal and background. The results are characterised by an observed signal strength relative to the standard model cross section, , under the assumption of a Higgs boson mass of 125 GeV. A combined fit of multivariate discriminant distributions in all categories results in an observed (expected) upper limit on of 1.5 (0.9) at 95% confidence level, and a best fit value of 0.72 0.24 (stat) 0.38 (syst), corresponding to an observed (expected) signal significance of 1.6 (2.2) standard deviations above the background-only hypothesis.A search is presented for the associated production of a standard model Higgs boson with a top quark-antiquark pair ( ), in which the Higgs boson decays into a b quark-antiquark pair, in proton-proton collisions at a centre-of-mass energy TeV. The data correspond to an integrated luminosity of 35.9 fb recorded with the CMS detector at the CERN LHC. Candidate events are selected that contain either one or two electrons or muons from the decays and are categorised according to the number of jets. Multivariate techniques are employed to further classify the events and eventually discriminate between signal and background. The results are characterised by an observed signal strength relative to the standard model cross section, μ = σ/σ, under the assumption of a Higgs boson mass of 125 GeV. A combined fit of multivariate discriminant distributions in all categories results in an observed (expected) upper limit on μ of 1.5 (0.9) at 95% confidence level, and a best fit value of 0.72 ± 0.24(stat) ± 0.38(syst), corresponding to an observed (expected) signal significance of 1.6 (2.2) standard deviations above the background-only hypothesis.A search is presented for the associated production of a standard model Higgs boson with a top quark-antiquark pair (H), in which the Higgs boson decays into a b quark-antiquark pair, in proton-proton collisions at a centre-of-mass energy 13 TeV. The data correspond to an integrated luminosity of 35.9 fb recorded with the CMS detector at the CERN LHC. Candidate H events are selected that contain either one or two electrons or muons from the decays and are categorised according to the number of jets. Multivariate techniques are employed to further classify the events and eventually discriminate between signal and background. The results are characterised by an observed H signal strength relative to the standard model cross section, / , under the assumption of a Higgs boson mass of 125 GeV. A combined fit of multivariate discriminant distributions in all categories results in an observed (expected) upper limit on of 1.5 (0.9) at 95% confidence level, and a best fit value of 0.72 0.24 (stat) 0.38 (syst), corresponding to an observed (expected) signal significance of 1.6 (2.2) standard deviations above the background-only hypothesis
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