Nevin Manimala

Phys Rev Lett. 2023 Oct 6;131(14):141802. doi: 10.1103/PhysRevLett.131.141802.

ABSTRACT

Using 7.33 fb^{-1} of e^{+}e^{-} collision data taken with the BESIII detector at the BEPCII collider, we report the first experimental study of the purely leptonic decay D_{s}^{*+}→e^{+}ν_{e}. Our data contain a signal of this decay with a statistical significance of 2.9σ. The branching fraction of D_{s}^{*+}→e^{+}ν_{e} is measured to be (2.1_{-0.9_{stat}}^{+1.2}±0.2_{syst})×10^{-5}, corresponding to an upper limit of 4.0×10^{-5} at the 90% confidence level. Taking the total width of the D_{s}^{*+} [(0.070±0.028) keV] predicted with the radiative D_{s}^{*+} decay from the lattice QCD calculation as input, the decay constant of the D_{s}^{*+} is determined to be f_{D_{s}^{*+}}=(214_{-46_{stat}}^{+61}±44_{syst}) MeV, corresponding to an upper limit of 354 MeV at the 90% confidence level.

PMID:37862669 | DOI:10.1103/PhysRevLett.131.141802

Phys Rev Lett. 2023 Oct 6;131(14):140401. doi: 10.1103/PhysRevLett.131.140401.

ABSTRACT

Owing to its probabilistic nature, a measurement process in quantum mechanics produces a distribution of possible outcomes. This distribution-or its Fourier transform known as full counting statistics (FCS)-contains much more information than say the mean value of the measured observable, and accessing it is sometimes the only way to obtain relevant information about the system. In fact, the FCS is the limit of an even more general family of observables-the charged moments-that characterize how quantum entanglement is split in different symmetry sectors in the presence of a global symmetry. Here we consider the evolution of the FCS and of the charged moments of a U(1) charge truncated to a finite region after a global quantum quench. For large scales these quantities take a simple large-deviation form, showing two different regimes as functions of time: while for times much larger than the size of the region they approach a stationary value set by the local equilibrium state, for times shorter than region size they show a nontrivial dependence on time. We show that, whenever the initial state is also U(1) symmetric, the leading order in time of FCS and charged moments in the out-of-equilibrium regime can be determined by means of a space-time duality. Namely, it coincides with the stationary value in the system where the roles of time and space are exchanged. We use this observation to find some general properties of FCS and charged moments out of equilibrium, and to derive an exact expression for these quantities in interacting integrable models. We test this expression against exact results in the Rule 54 quantum cellular automaton and exact numerics in the XXZ spin-1/2 chain.

PMID:37862655 | DOI:10.1103/PhysRevLett.131.140401

J Urol. 2023 Oct 20:101097JU0000000000003765. doi: 10.1097/JU.0000000000003765. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the association between family history of RCC and RCC risk.

MATERIALS AND METHOD: RCC cases diagnosed in Sweden between 2005-2014 and 10 matched controls were identified using Renal Cell Cancer dataBase Sweden, with linkage to the Multigeneration Register and the Swedish Cancer Register. The association between a family history of RCC and RCC was investigated, overall and by sex and age groups.

RESULTS: Among 9416 RCC cases, 294 (3.1%) had 1 or more parent or sibling (first-degree relative, FDR) with RCC. Median age at diagnosis for cases with an affected FDR was 65 years (IQR 59-71) and 68 years (IQR 60-75) for all cases. The proportion of women was significantly higher among familial RCC compared to sporadic RCC (44.6% vs 38.5%, P = .035). RCC was twice as likely with 1 or more FDR with RCC (OR 1.9; CI 1.65-2.16). Stratified analysis showed an OR of 2.4 for women (CI 1.93-2.92) and 1.6 for men (CI 1.35-1.93). Two or more FDRs was associated with a 6-fold increased risk (95% CI 2.37-15.5). Familial RCC was strongly associated with bilateral- and multifocal tumours ([OR 5.5; CI 2.36-13.0], [OR 3.5; CI 1.89-6.49]).

CONCLUSIONS: In this Swedish dataset, 3.1% of RCC patients have 1 or more FDR diagnosed with RCC. There was no statistical difference in median age between sporadic RCC and familial RCC. Having 1 or more FDR with RCC approximately doubles the risk of RCC with a higher risk increase for women than for men. People with 2 FDRs with RCC constitute a small high-risk group that may benefit from screening.

PMID:37862613 | DOI:10.1097/JU.0000000000003765

J Acoust Soc Am. 2023 Oct 1;154(4):2489-2498. doi: 10.1121/10.0021871.

ABSTRACT

In the context of global warming leading to rapidly changing Arctic sea ice and the environment, it is necessary to understand the statistical characteristics of noise under existing Arctic ocean environmental conditions. The data recorded from August 1, 2018 to November 2, 2019, on the Arctic Chukchi Plateau, have been studied to analyze the relationship between the ice transient events and the non-Gaussian statistics of under-ice noise. The ice-generated transient noise largely contributes to the under-ice noise environment, and the total under-ice noise exhibits non-Gaussian statistics due to the occurrence of these ice transients. The number of ice transients has a strong negative correlation with the characteristic index α, meaning that the higher the occurrence of transient events, the stronger the non-Gaussian statistics of under-ice noise. Stronger non-Gaussian noise with full ice coverage is observed compared to partial ice coverage. The under-ice noise in 0.5-1 kHz exhibits the strongest non-Gaussian statistics, followed by 1-4 kHz, while it is weakest in 20-500 Hz. The statistics of ice transients and under-ice noise have been provided in this paper, which can be used in sonar detection algorithms and have important significance for the performance prediction and optimization of sonar processors.

PMID:37862571 | DOI:10.1121/10.0021871

Rev Sci Instrum. 2023 Jun 1;94(6):065110. doi: 10.1063/5.0152168.

ABSTRACT

This study presents a novel and user-friendly technique for detecting the lateral capillary force on a floating spherical particle. The technique leverages the interplay between the capillary attracting forces, hydrostatic pressure forces, and magnetic repulsion forces. A magnetic field is applied to induce a surface curvature in the liquid, resulting in a non-uniform distribution of capillary and hydrostatic pressure forces across the particle’s surface. This leads to a stable equilibrium position of the particle at a specific distance from the magnet. The study analyzes the equilibrium position and other relevant parameters in comparison with the developed theory. Classical mechanics and intermolecular forces are applied to establish the theoretical basis for the method, modeling the behavior of the particle in response to the magnetic field, surface curvature, and hydrostatic pressure. The equilibrium position of the particle is determined by numerically solving the balance of forces equation.

PMID:37862544 | DOI:10.1063/5.0152168

Rev Sci Instrum. 2023 Jun 1;94(6):064707. doi: 10.1063/5.0137991.

ABSTRACT

We report on a speed-up data acquisition routine for recording intensities in reciprocal space (k-space) with increased scan speed by a single point detector. It is designed for recording low energy electron diffraction (LEED) data with high resolution by a spot profile analysis LEED instrument. It counteracts the problem of long acquisition times that are encountered when larger areas in the reciprocal space are scanned. It exploits the fact that in typical LEED images of ordered surfaces, more than 90% of the data points in k-space belong to the low-intense background, which is often not of interest. Only about 10% of the data points are related to the relevant diffraction features, namely, the LEED spots. Often it is not necessary to measure the background with the same statistical significance as measuring those points that contain information. The data points belonging to the LEED spots can be discriminated from those of the background by their higher intensities. An acquisition routine that sets an increased gate time for the counting in response to higher intensities thus safeguards good statistics for data points of the LEED spots and saves measurement time when recording data points of the background with small gate times. For typical LEED images, a reduction of the total acquisition time by a factor of about 10 is obtained. We give examples of one- and two-dimensional scans from current experiments, recorded with and without the speed-up routine. We further discuss how the routine supports the measurement of energy dependent reciprocal space maps.

PMID:37862501 | DOI:10.1063/5.0137991

Rev Sci Instrum. 2023 Jun 1;94(6):061103. doi: 10.1063/5.0128661.

ABSTRACT

Bayesian analysis enables flexible and rigorous definition of statistical model assumptions with well-characterized propagation of uncertainties and resulting inferences for single-shot, repeated, or even cross-platform data. This approach has a strong history of application to a variety of problems in physical sciences ranging from inference of particle mass from multi-source high-energy particle data to analysis of black-hole characteristics from gravitational wave observations. The recent adoption of Bayesian statistics for analysis and design of high-energy density physics (HEDP) and inertial confinement fusion (ICF) experiments has provided invaluable gains in expert understanding and experiment performance. In this Review, we discuss the basic theory and practical application of the Bayesian statistics framework. We highlight a variety of studies from the HEDP and ICF literature, demonstrating the power of this technique. Due to the computational complexity of multi-physics models needed to analyze HEDP and ICF experiments, Bayesian inference is often not computationally tractable. Two sections are devoted to a review of statistical approximations, efficient inference algorithms, and data-driven methods, such as deep-learning and dimensionality reduction, which play a significant role in enabling use of the Bayesian framework. We provide additional discussion of various applications of Bayesian and machine learning methods that appear to be sparse in the HEDP and ICF literature constituting possible next steps for the community. We conclude by highlighting community needs, the resolution of which will improve trust in data-driven methods that have proven critical for accelerating the design and discovery cycle in many application areas.

PMID:37862494 | DOI:10.1063/5.0128661

Rev Sci Instrum. 2023 Jun 1;94(6):065101. doi: 10.1063/5.0137984.

ABSTRACT

Although bilirubin meters are still continuously widely used to screen neonatal jaundice worldwide, they still need a metrological calibration method to evaluate the measurement accuracy of these kinds of devices. In this article, the author describes a new calibration method for evaluation of the bilirubinometers measurements and evaluates the results with one of the most common statistical metrological techniques to establish and evaluate the calibration method; the techniques are x̄ and R control charts. The method mainly depends on establishing a correlation between two units, the bilirubin unit (mg/dl) and one of the metrological standard SI units, the irradiance (W/cm2), experimentally to achieve the calibration method. The study results showed that the estimated correlation coefficient of irradiance response to the bilirubinometer under test was around 0.80, which is a primary indication that the method is a considerably valid technique. In addition, the calibration method was evaluated by the statistical parameters x̄ and R control charts, and the results concluded that the variability calibration process is stable, controlled, and hence could be promisingly utilized to evaluate various bilirubinometers with satisfied accuracy and precision in measurements.

PMID:37862474 | DOI:10.1063/5.0137984

J Forensic Nurs. 2023 Oct 20. doi: 10.1097/JFN.0000000000000451. Online ahead of print.

ABSTRACT

This study investigates the impact of a professional development training series among a multidisciplinary team (MDT) during establishment of a trauma-informed sexual assault response and prevention program at a midsized university in the southeastern United States. MDT members included forensic nurses, advocates, counselors, law enforcement officers, and relevant faculty and staff. After completion of a baseline survey assessing attitudes toward trauma-informed care and perceptions of the team climate within the MDT, team members engaged in a trauma-informed care (TIC) professional development training series consisting of (a) 4-hour-long didactic lectures with incorporated group discussion and (2) one 2-hour in-situ simulation-based training exercise. MDT members subsequently completed 3-month and long-term follow-up surveys to assess the immediate and enduring impacts of the training series.The TIC training series significantly increased MDT members’ perceptions of participative safety, task orientation, and support for innovation within the group at the 3-month assessment. No long-term differences were found, likely because of a small sample size and low statistical power.Intensive TIC MDT professional development at the beginning of a campus-wide sexual assault prevention and response initiative enhances psychological safety within the group, evidenced by increased perceptions of participative safety and support for innovation, and builds team cohesiveness around a shared set of tasks. Within the present MDT, the professional development training series also appeared to facilitate adoption of a shared set of values for accomplishing the team’s goal of preventing and responding to sexual assault on campus. Recommendations for MDTs with similar goals are discussed.

PMID:37862460 | DOI:10.1097/JFN.0000000000000451

PLoS One. 2023 Oct 20;18(10):e0283133. doi: 10.1371/journal.pone.0283133. eCollection 2023.

ABSTRACT

This study is an attempt to investigate climate-induced increases in morbidity rates of food poisoning cases. Monthly food poisoning cases, average monthly meteorological data, and population data from 2004 to 2014 were obtained from the Malaysian Ministry of Health, Malaysian Meteorological Department, and Department of Statistics Malaysia, respectively. Poisson generalised linear models were developed to assess the association between climatic parameters and the number of reported food poisoning cases. The findings revealed that the food poisoning incidence in Malaysia during the 11 years study period was 561 cases per 100 000 population for the whole country. Among the cases, females and the ethnic Malays most frequently experienced food poisoning with incidence rates of 313 cases per 100,000 and 438 cases per 100,000 population over the period of 11 years, respectively. Most of the cases occurred within the active age of 13 to 35 years old. Temperature gave a significant impact on the incidence of food poisoning cases in Selangor (95% CI: 1.033-1.479; p = 0.020), Melaka (95% CI: 1.046-2.080; p = 0.027), Kelantan (95% CI: 1.129-1.958; p = 0.005), and Sabah (95% CI: 1.127-2.690; p = 0.012) while rainfall was a protective factor in Terengganu (95% CI: 0.996-0.999; p = 0.034) at lag 0 month. For a 1.0°C increase in temperature, the excess risk of food poisoning in each state can increase up to 74.1%, whereas for every 50 mm increase in rainfall, the risk of getting food poisoning decreased by almost 10%. The study concludes that climate does affect the distribution of food poisoning cases in Selangor, Melaka, Kelantan, Sabah, and Terengganu. Food poisoning cases in other states are not directly associated with temperature but related to monthly trends and seasonality.

PMID:37862373 | DOI:10.1371/journal.pone.0283133