On the Study of Collective Dynamics in Supercooled Liquids through the Statistics of the Iso-Configurational Ensemble

The use of the isoconfigurational ensemble to explore structure-dynamic correlations in supercooled liquids is examined. The statistical error of the dynamic propensity and its spatial distribution are determined. The authors present the spatial distribution of the particle non-Gaussian parameter as a measure of the intermittency with which particles exhibit their propensity for motion. The ensemble average of the direction of particle motion is introduced to establish the anisotropy of the dynamic propensity.Comment: Published - see below or http://link.aip.org/link/?JCPSA6/126/154503/

Searching for Extra Dimensions in the Early Universe

We investigate extra spatial dimensions ($D = 3+\epsilon$) in the early universe using very high resolution molecular rotational spectroscopic data derived from a large molecular cloud containing moderately cold carbon monoxide gas at Z $\approx 6.42$. It turns out that the $\epsilon$-dependent quantum mechanical wavelength transitions are solvable for a linear molecule and we present the solution here. The CO microwave data allows a very precise determination of $= -0.00000657 \pm .10003032$. The probability that $\neq 0$ is one in 7794, only 850 million years (using the standard cosmology) after the Big Bang.Comment: 17 pages, 2 figure

Power aspects of analysis of variance in various models.

The object of the present work is to study the robustness of the power in Analysis of Variance in relation to the departures from the in-built assumptions (i) equality of variance of the errors, (ii) statistical independence of the errors, and (iii) normality of the errors in fixed and random effects models. It is difficult if not impossible, to conduct an exhaustive study of the problem, because the above assumptions can be violated in many ways. However, a general model and some important particular models have been used to obtain fairly conclusive evidence regarding the robustness of the power in Analysis of Variance. In order to obtain the power value in relation to the departure from the usual test assumptions, the general linear hypothesis model is considered. The power values when the assumptions of equality of variances and independence of errors are violated, are obtained and presented in Table IA and IB. The result suggests that in the above model, for tests regarding the inference about means, the power value is greatly affected by the inequality of error variances but only slightly affected by the serially correlated error variables. By using the permutation theory an approximate method is developed to study the effect of non-normality of the errors on the probability of type two errors in the above situation. Having studied the most general case in Analysis of Variance some particular models are discussed to investigate certain important aspects of the problem that are generated by these models. First of all fixed model one-way classification is considered to investigate whether it could show a different picture for unequal replication. The results so obtained are presented in Table IIA and IIB. They indicate that the power value is greatly affected by the inequality of error variances and unequal group sizes. This procedure is easily modified to handle the random model. Another particular case of the general linear model, that is fixed effect model two-way classification, is discussed. The results so obtained are presented in Table IIIA and IIIB. They indicate that in two-way classification for the between Column test, the power value is greatly affected by the inequality of column variances but only slightly affected by the serially correlated within rows error variables. Again this procedure is easily modified to handle the random model. The use of simulation methods for calculating the power values in the case of non-normal errors is discussed. One and two-way classifications are considered for the fixed effect model. The Erlangian and contaminated normal distribution are taken as examples of a non-normal error distribution. The results obtained by these methods are given in Table IVA and IVB which indicate that for the inference concerning means, the power calculated under normal theory is only slightly affected by the non-normality of the errors. Finally, the effect of non-normality on the power in analysis of variance for a random effect model is also discussed by a simulation method. One and two-way classification are considered for this model and the Erlangian and contaminated normal distributions are taken as examples of non-normality. The results obtained by these methods are given in Tables VA and VB which indicate that non-normality has little effect on the power of the test

Fitting a non-linear model with errors in both variables and its application

Estimation of the parameters of a non-linear model is considered when both measured variables have random errors. The maximum likelihood estimates with the asymptotic variance and covariance matrix are presented. Real data are used to illustrate the procedure discusse

Datta-Das type spin-field effect transistor in non-ballistic regime

It is revealed that in spin helix state of (001) quantum well system, strong suppression of D'yakonov-Perel' spin relaxation process occurs by an interplay between Rashba and Dresselhaus couplings over a wide range of Rashba coupling strength. Contrary to common belief in early works, this leads to the finding that Datta-Das type spin-field effect transistor is actually applicable to more realistic non-ballistic transport regime in two dimensional electron gas system.Comment: 8 pages, 3 figure

Quality of private and public ambulatory health care in low and middle income countries: systematic review of comparative studies

Paul Garner and colleagues conducted a systematic review of 80 studies to compare the quality of private versus public ambulatory health care in low- and middle-income countries

Shear strength model for overconsolidated clay-infilled idealised rock joints

Saturated infilled joints can contribute to the instability of rock masses during undrained shearing. This paper reports an experimental investigation into the effect of the overconsolidation of infilled rough joints on undrained shear behaviour. A revised model is presented for predicting the shear strength of rough infilled joints on the basis of experimental tests carried out on idealised sawtoothed joints with natural silty clay as the infill material. Tests were conducted under consolidated undrained conditions in a high-pressure triaxial apparatus on joints having a dip angle of 60°. Pore pressure development in the infill materials was monitored. The results show that the effect of asperities on shear strength is significant up to a critical asperity height to infill thickness ratio (t/a), whereas the shear behaviour is controlled by the infill alone beyond this critical value. The proposed model for predicting the shear strength of rough infilled joints describes how the OCR influences the shear strength, pore water pressure development, and critical t/a ratio

The Ny-Ålesund Aerosol Cloud Experiment (NASCENT): Overview and First Results

The Arctic is warming at more than twice the rate of the global average. This warming is influenced by clouds, which modulate the solar and terrestrial radiative fluxes and, thus, determine the surface energy budget. However, the interactions among clouds, aerosols, and radiative fluxes in the Arctic are still poorly understood. To address these uncertainties, the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) study was conducted from September 2019 to August 2020 in Ny-Ålesund, Svalbard. The campaign’s primary goal was to elucidate the life cycle of aerosols in the Arctic and to determine how they modulate cloud properties throughout the year. In situ and remote sensing observations were taken on the ground at sea level, at a mountaintop station, and with a tethered balloon system. An overview of the meteorological and the main aerosol seasonality encountered during the NASCENT year is introduced, followed by a presentation of first scientific highlights. In particular, we present new findings on aerosol physicochemical and molecular properties. Further, the role of cloud droplet activation and ice crystal nucleation in the formation and persistence of mixed-phase clouds, and the occurrence of secondary ice processes, are discussed and compared to the representation of cloud processes within the regional Weather Research and Forecasting Model. The paper concludes with research questions that are to be addressed in upcoming NASCENT publications

A comprehensive laboratory study on the immersion freezing behavior of illite NX particles: A comparison of 17 ice nucleation measurement techniques

Immersion freezing is the most relevant heterogeneous ice nucleation mechanism through which ice crystals are formed in mixed-phase clouds. In recent years, an increasing number of laboratory experiments utilizing a variety of instruments have examined immersion freezing activity of atmospherically relevant ice-nucleating particles. However, an intercomparison of these laboratory results is a difficult task because investigators have used different ice nucleation (IN) measurement methods to produce these results. A remaining challenge is to explore the sensitivity and accuracy of these techniques and to understand how the IN results are potentially influenced or biased by experimental parameters associated with these techniques. \u3c br\u3e \u3c br\u3e Within the framework of INUIT (Ice Nuclei Research Unit), we distributed an illite-rich sample (illite NX) as a representative surrogate for atmospheric mineral dust particles to investigators to perform immersion freezing experiments using different IN measurement methods and to obtain IN data as a function of particle concentration, temperature ( \u3c i\u3e T ), cooling rate and nucleation time. A total of 17 measurement methods were involved in the data intercomparison. Experiments with seven instruments started with the test sample pre-suspended in water before cooling, while 10 other instruments employed water vapor condensation onto dry-dispersed particles followed by immersion freezing. The resulting comprehensive immersion freezing data set was evaluated using the ice nucleation active surface-site density, \u3c i\u3e n s, to develop a representative \u3c i\u3e n s( \u3c i\u3e T ) spectrum that spans a wide temperature range (g\u2737 °C \u3c \u3c i\u3e T \u3c g\u2711 °C) and covers 9 orders of magnitude in \u3c i\u3e n s. \u3c br\u3e \u3c br\u3e In general, the 17 immersion freezing measurement techniques deviate, within a range of about 8 °C in terms of temperature, by 3 orders of magnitude with respect to \u3c i\u3e n s. In addition, we show evidence that the immersion freezing efficiency expressed in \u3c i\u3e n s of illite NX particles is relatively independent of droplet size, particle mass in suspension, particle size and cooling rate during freezing. A strong temperature dependence and weak time and size dependence of the immersion freezing efficiency of illite-rich clay mineral particles enabled the \u3c i\u3e n s parameterization solely as a function of temperature. We also characterized the \u3c i\u3e n s( \u3c i\u3e T ) spectra and identified a section with a steep slope between g\u2720 and g\u2727 °C, where a large fraction of active sites of our test dust may trigger immersion freezing. This slope was followed by a region with a gentler slope at temperatures below g\u2727 °C. While the agreement between different instruments was reasonable below ∼ g\u2727 °C, there seemed to be a different trend in the temperature-dependent ice nucleation activity from the suspension and dry-dispersed particle measurements for this mineral dust, in particular at higher temperatures. For instance, the ice nucleation activity expressed in \u3c i\u3e n s was smaller for the average of the wet suspended samples and higher for the average of the dry-dispersed aerosol samples between about g\u2727 and g\u2718 °C. Only instruments making measurements with wet suspended samples were able to measure ice nucleation above g\u2718°C. A possible explanation for the deviation between g\u2727 and g\u2718 °C is discussed. Multiple exponential distribution fits in both linear and log space for both specific surface area-based \u3c i\u3e n s( \u3c i\u3e T ) and geometric surface area-based \u3c i\u3e n s( \u3c i\u3e T ) are provided. These new fits, constrained by using identical reference samples, will help to compare IN measurement methods that are not included in the present study and IN data from future IN instruments

Indications and outcomes of enucleation versus formal pancreatectomy for pancreatic neuroendocrine tumors

Background: Pancreatoduodenectomy (PD) or distal pancreatectomy (DP) are common procedures for patients with a pancreatic neuroendocrine tumor (pNET). Nevertheless, certain patients may benefit from a pancreas-preserving resection such as enucleation (EN). The aim of this study was to define the indications and differences in long-term outcomes among patients undergoing EN and PD/DP. Methods: Patients undergoing resection of a pNET between 1992 and 2016 were identified. Indications and outcomes were evaluated, and propensity score matching (PSM) analysis was performed to compare long-term outcomes between patients who underwent EN versus PD/DP. Results: Among 1034 patients, 143 (13.8%) underwent EN, 304 (29.4%) PD, and 587 (56.8%) DP. Indications for EN were small size (1.5 cm, IQR:1.0–1.9), functional tumors (58.0%) that were mainly insulinomas (51.7%). After PSM (n = 109 per group), incidence of postoperative pancreatic fistula (POPF) grade B/C was higher after EN (24.5%) compared with PD/DP (14.0%) (p = 0.049). Median recurrence-free survival (RFS) was comparable among patients who underwent EN (47 months, 95% CI:23–71) versus PD/DP (37 months, 95% CI: 33–47, p = 0.480). Conclusion: Comparable long-term outcomes were noted among patients who underwent EN versus PD/DP for pNET. The incidence of clinically significant POPF was higher after EN