(Non-)intervention in A-movement

2011 ◽  
Vol 11 (2) ◽  
pp. 121-148 ◽  
Author(s):  
Jeremy Hartman
Keyword(s):  
Linguistic Variation ◽  
Intervention Effects ◽  
Data Set ◽  
Parallel Movement ◽  
The Cross ◽  
Subject Raising

This article explores ‘defective intervention’ effects in a range of A-movement constructions in English. Moving beyond an old observation that English lacks intervention in standard subject-to-subject raising constructions, I present new data showing that English does in fact display intervention in a variety of other NP-raising contexts. I explore the consequences of this expanded data set, and propose an account of intervention that aims to capture both the cross-linguistic variation between English and other languages, and the cross-constructional variation within English. Keywords: intervention; raising; tough-movement; raising-to-object; passivization; PP-reanalysis; parallel movement; reconstruction; A-movement

scholarly journals MNBDR: A Module Network Based Method for Drug Repositioning

Genes ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
He-Gang Chen ◽  
Xiong-Hui Zhou
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Drug Response ◽  
Drug Repositioning ◽  
Expression Profiles ◽  
Drug Repurposing ◽  
Recent Decade ◽  
Data Set ◽  
Module Network ◽  
The Cross

Drug repurposing/repositioning, which aims to find novel indications for existing drugs, contributes to reducing the time and cost for drug development. For the recent decade, gene expression profiles of drug stimulating samples have been successfully used in drug repurposing. However, most of the existing methods neglect the gene modules and the interactions among the modules, although the cross-talks among pathways are common in drug response. It is essential to develop a method that utilizes the cross-talks information to predict the reliable candidate associations. In this study, we developed MNBDR (Module Network Based Drug Repositioning), a novel method that based on module network to screen drugs. It integrated protein–protein interactions and gene expression profile of human, to predict drug candidates for diseases. Specifically, the MNBDR mined dense modules through protein–protein interaction (PPI) network and constructed a module network to reveal cross-talks among modules. Then, together with the module network, based on existing gene expression data set of drug stimulation samples and disease samples, we used random walk algorithms to capture essential modules in disease development and proposed a new indicator to screen potential drugs for a given disease. Results showed MNBDR could provide better performance than popular methods. Moreover, functional analysis of the essential modules in the network indicated our method could reveal biological mechanism in drug response.

SUSPENSION OPTIMIZATION USING DESIGN OF EXPERIMENT (DOE) METHOD ON MSC/ADAMS-INSIGHT

2015 ◽  
Vol 75 (8) ◽  
Author(s):  
N. Ikhsan ◽  
R. Ramli ◽  
A. Alias
Keyword(s):  
Design Of Experiment ◽  
Suspension System ◽  
Optimization Process ◽  
Data Set ◽  
Pareto Chart ◽  
Axis Direction ◽  
Parallel Movement ◽  
Suspension Model ◽  
Vehicle Suspension System ◽  
Multi Body

In this paper, the optimum setting for suspension hard points was determined from a half vehicle suspension system. These optimized values were obtained by considering the Kinematic and Compliance (K&C) effects of a verified PROTON WRM 44 P0-34 suspension model developed using MSC/ADAMS/CAR. For optimization process, multi body dynamic software, MSC/ADAMS/INSIGHT and Design of Experiment (DoE) method was employed. There were total of 60 hard points (factors) in x, y and z axis-direction for both front and rear suspension while toe, camber and caster change were selected as the objective function (responses) to be minimized. The values of 5 mm, 10 mm and 15 mm were used as relative values of factor setting to determine the factor range during optimization process. The hard point axis-direction that has the most effects on the responses was identified using the Pareto chart to optimize while the rests were eliminated. As expected result, a new set of suspension system model with a selected of Kinematic and Compliance (K&C) data set were obtained, and compared with the verified simulation data when subjected to the vertical parallel movement simulation test to determine the best setting and optimum suspension hard points configuration.  

A Near‐Real‐Time Version of the Cross‐Calibrated Multiplatform (CCMP) Ocean Surface Wind Velocity Data Set

2019 ◽  
Vol 124 (10) ◽  
pp. 6997-7010
Author(s):  
Carl A. Mears ◽  
Joel Scott ◽  
Frank J. Wentz ◽  
Lucrezia Ricciardulli ◽  
S. Mark Leidner ◽  
...  
Keyword(s):  
Real Time ◽  
Wind Velocity ◽  
Surface Wind ◽  
Ocean Surface ◽  
Velocity Data ◽  
Data Set ◽  
Ocean Surface Wind ◽  
The Cross

scholarly journals Measurement of hadronic form factors at BESIII

2018 ◽  
Vol 172 ◽  
pp. 03002
Author(s):  
Haiming HU
Keyword(s):  
Form Factor ◽  
Cross Section ◽  
Center Of Mass ◽  
Polar Angle ◽  
Form Factors ◽  
Pion Form Factor ◽  
Angle Distribution ◽  
Data Set ◽  
Center Of Mass Energy ◽  
The Cross

The measurements of hadronic form factors of three modes using the data samples collected with the BESIII detector at BEPCII collider are presented. The cross section of e+e- → p p̅ at 12 energies from 2232.4 to 3671.0 MeV are measured, the electromagnetic form factor is deduced, and the ratio |GE/GM| is extracted by fitting the polar angle distribution. The preliminary results about the form factors of e+e- → ∧c+ ⊼c- will also be described. The cross section of e+e- → π+ π-between effective center-of-mass energy 600 and 900 MeV is measured by the ISR return method using the data set with the integrated luminosity of 2.93 fb-1 taken at ψ(3773) peak, the pion form factor is extracted.

scholarly journals Phase and Image Reconstruction from Pupil-Plane Observations in the Near Infrared: Integration of the Phasors

1994 ◽  
Vol 158 ◽  
pp. 197-200
Author(s):  
J.-L. Monin ◽  
N. Ageorges ◽  
L. Desbat ◽  
C. Perrier
Keyword(s):  
Image Reconstruction ◽  
Near Infrared ◽  
New Method ◽  
Data Set ◽  
Preliminary Results ◽  
Cross Spectrum ◽  
The Cross ◽  
Simulated Images ◽  
Pupil Plane

A new method to reconstruct the phase of bidimensional interferograms, obtained through pupil-plane interferometry is presented. We compute the average complex phasor components of the cross-spectrum on a data set to reconstruct the original unperturbed phase. We present preliminary results on simulated images which visibility phases are distorted using a model of atmospheric perturbed wavefronts.

Let's talk about you and me

2014 ◽  
Vol 51 (2) ◽  
pp. 465-500 ◽  
Author(s):  
HEDDE ZEIJLSTRA
Keyword(s):  
Blocking Effect ◽  
Linguistic Variation ◽  
First Person ◽  
Second Person ◽  
Maximize Presupposition ◽  
The Subject ◽  
The Cross

A recent development in Dutch concerns the deictic interpretation of the second-person singular pronoun je, which may refer to the speaker only. In such examples the subject refers to the speaker – not the hearer – but at the same time, these examples come along with an implicature stating that the hearer would have done the same thing if s/he were in the speaker's situation. Why is it the case that a second-person singular pronoun may refer to the speaker only? And why is it that when speaker-referring je is used, it always comes along with an implicature of the kind described above? In this article I argue that this behavior of Dutch je is a consequence of its semantically unmarked status with respect to the first-person singular pronoun ik. Along the lines of Sauerland (2008), I propose that Dutch je only carries one feature, [PARTICIPANT], whereas ik carries two features: [SPEAKER] and [PARTICIPANT]. Consequently, je may in principle refer to all participants in the conversation, enabling je to refer to the speaker as well. The fact that je does not normally refer to the speaker but to the hearer only then follows as some kind of blocking effect resulting from application of the principle of Maximize Presupposition. The paper concludes by spelling out the predictions that this analysis makes for the cross-linguistic variation with respect to the readings that participant and other pronouns may yield.

New Results on Double Charmonium Production in e+e- Annihilation at $\sqrt{s} \approx 10.6~{\rm GeV}$ with the Belle Detector

2005 ◽  
Vol 20 (16) ◽  
pp. 3617-3620
Author(s):  
◽  
T. Ziegler
Keyword(s):  
Cross Section ◽  
Strong Evidence ◽  
Previous Analysis ◽  
Charmonium State ◽  
Data Set ◽  
Charmonium Production ◽  
Belle Detector ◽  
Theoretical Predictions ◽  
Order Of Magnitude ◽  
The Cross

Extending a previous analysis1 the double charmonium production [Formula: see text] and [Formula: see text] has been investigated with a data set of 155 fb-1 with the Belle detector. Theoretical predictions for the cross section are one order of magnitude lower than the measured value and this discrepancy is still not understood. In a very recent update with a dataset of 285 fb-1 strong evidence for a new charmonium state at a mass of 3.940 GeV was found.

Absence of Direct Association between Coliforms and Escherichia coli in Irrigation Water and on Produce

2013 ◽  
Vol 76 (6) ◽  
pp. 959-966 ◽  
Author(s):  
GAYEON WON ◽  
PAMELA J. SCHLEGEL ◽  
JENNIFER M. SCHROCK ◽  
JEFFREY T. LeJEUNE
Keyword(s):  
Escherichia Coli ◽  
Water Quality ◽  
Irrigation Water ◽  
Cross Sectional Study ◽  
Microbial Quality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Data Set ◽  
E Coli ◽  
The Cross

Irrigation water is considered a potential source of preharvest pathogen contamination of vegetables. Hence, several organizations have recommended microbiological standards for water used to irrigate edible plants. The purpose of this study was to determine the strength of association between microbial quality indicators (coliforms and Escherichia coli) in irrigation water and on irrigated vegetables. Data analyzed included original results from a cross-sectional study conducted in the Midwestern United States during summer 2009 and information presented in two previously published studies performed in France and Portugal to investigate microbial quality of irrigation water and watered produce. In the cross-sectional study, repetitive PCR (rep-PCR) was used to characterize genetic relatedness of E. coli isolates from water and vegetables. No significant correlations were found between fecal indicators on leafy greens (lettuce and parsley, n = 91) or fruit (tomatoes and green peppers, n = 22) and those found in irrigation water used in the cross-sectional study (P > 0.40) or in the previously published data sets (data set 1: lettuce and waste irrigation water, n = 15, P > 0.40; data set 2: lettuce and irrigation water, n = 32, P = 0.06). Rep-PCR banding patterns of E. coli strains were all distinguishable among the pairs of E. coli isolates recovered from produce and irrigation water on the same farm. From the available data, the concentration of indicator organisms based on a single measure of irrigation water quality was not associated with the presence of these indicators on produce. In the absence of additional information, the use of a single microbial water quality parameter as an indicator of produce safety is of limited value for predicting the safety of the produce.

scholarly journals Direct and cross price elasticities of demand for gasoline, diesel, hybrid and battery electric cars: the case of Norway

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Lasse Fridstrøm ◽  
Vegard Østli
Keyword(s):  
Choice Model ◽  
Market Response ◽  
Energy Prices ◽  
Market Demand ◽  
Passenger Cars ◽  
Data Set ◽  
Electric Cars ◽  
Price Elasticities ◽  
Approval Rate ◽  
The Cross

Abstract Aim The primary goals of this research is (i) to derive direct and cross demand market response functions for automobile powertrains and their energy carriers and (ii) to assess how CO2 emissions from automobiles depend on vehicle and energy prices Methods The market demand for automobiles with differing powertrains is studied by means of a discrete choice model. Statistically precise coefficient estimates are calculated by means of a highly disaggregate data set consisting of virtually all 1.8 million new passenger car transactions in Norway during 2002–2016. Having estimated the model, we derive market response parameters in the form of direct and cross price elasticities of demand for gasoline, diesel, ordinary hybrid, plug-in hybrid and battery electric cars. Results The own-price elasticity of gasoline driven cars is estimated at −1.08, and those of diesel driven, battery electric and plug-in hybrid electric cars at –0.99, −1.27 and −1.72, respectively, as of 2016 in Norway. The cross price elasticities of demand for gasoline cars with respect to the price of diesel cars, and vice versa, are estimated at 0.64 and 0.51, while the cross price elasticities of demand for battery electric cars with respect to the prices of gasoline and diesel driven cars come out at 0.36 and 0.48, respectively. A 1 % increase in the price of liquid fuel in general is found to reduce the average type approval rate of CO2 emission from new passenger cars by an estimated 0.19%. Conclusion Fiscal policy measures affecting the prices of vehicles and fuel have a considerable potential for changing the long term composition of the vehicle fleet and its energy consumption, climate footprint and general environmental impact.

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