Miracle-dz/UniFAR-FTUs huggingface dataset:
On self-energy contributions near Berezinskii–Kosterlitz–Thouless transition in interacting homogeneous 2D Bose system

ABSTRACT We explore the consequences of including quantum corrections in an interacting 2D Bose system near Berezinskii–Kosterlitz–Thouless (BKT) transition. To go beyond mean-field theory and treat correlations, we use Matsubara Green's function method, and, following a previous novel approach, study features of the interacting Green's function just above the transition. We numerically obtain self-consistent solutions of boson self-energy to second order as well as higher order (re-summation of ladder and bubble diagrams) in the interaction strength, for the entire range of momentum, k, and compare our findings with analytic results in the limits of low- and high-k. Thereby, in the weak interaction limit, we retrieve the universal transition condition and calculate the universal scaling parameter (independent of interaction strength). The renormalised single-particle Green's function is found to decay algebraically at large distance r.
Some Aspects of Experimental Inference

L AM very happy that the Fisher Memorial Lecture* series was started by the joint statistical societies. This may, perhaps, prevent such happenings as the following. Last week I was saddened very much when I was trying to finid out what a student transferring into Ames knew about statistics. I asked him what name he associated with a lower bound on variance, what name with information aind what name with likelihood. He had had 3 or 4 years of graduate courses in probability and statistics, but had no answer. I then asked him if he had heard the name Fisher. The answer was "Yes,-he was an applied statistician. " Also it was clear that the fault did not lie with the student. The English poet Tennyson said "Knowledge comes, but wisdom lingers. " I think it is more appropriate in our society to say that knowledge is purchasable by dollars, but for wisdom we have to depend on the genetic process which Fisher understood so well. R. R. Race said, "Wherever the sun of genius may have illuminated the British blood group work, it has been of Fisher's shining. " How much more true is this of statistical work! I would also like to say that you do me great honor in asking me to give the lecture and I thank you. In my case you do honor to Fisher indirectly because almost all of the statistics I know derives from Fisher. I hope I do credit to both Fisher and you. In my lecture I make numerous references to Fisher's writings. The referencing code is: S, x means page x of Statistical Methods and Scientific Inference; D, x means page x of The Design of Experiments, Second Edition. The contributions of Fisher to the whole field of statistics have been extensively reviewed in many places, since his death. It is tribute to his genius that these review articles overlap very little. His contributions pervade the whole of statistical thinking with the exception of decision making, the only contribution to which in my opinion is his work on the discriminant function. I surmise that his writings will be subjected to re-examination and re-evaluation for many decades and centuries, just as is the case for the writings of Francis Bacon, David Hume and Thomas Bayes. Much of his work was purely mathematical and what was correct in this will be included in the corpus of basic mathematical statistics, no doubt with refinements and tightening of mathematical argument, but with little discussion. What will however lead to discussion is Fisher's writings on the philosophical nature of statistical procedures. Fisher's works are of so much interest because many of them were directed to the problem of inductive inference, a matter which has plagued philosophers for hundreds or even thousands of years. It seems to me from reading of the
Determining patient preferences in the treatment of medication‐refractory overactive bladder

Overactive bladder (OAB) is often suboptimally addressed by behavioral or pharmacological treatments. Less than 15% of patients choose to pursue advanced OAB therapy (sacral nerve stimulation [SNS], percutaneous tibial nerve stimulation [PTNS], and bladder onabotulinum toxin type‐A [BTX‐A]). We seek to better understand which factors are most important to patients when choosing a third‐line therapy.
Heat Transfer In A Ribbed Square DuctBy Large-Eddy-Simulation

Large-eddy simulation is used to understand the flow in a square ribbed duct representative of systems designed for internal cooling of turbine blades. The presence of ribs increases turbulence levels and enhances heat transfer. The objective of the present LES study is to solve three-dimensional Navier-Stokes equations for a compressible flow to enable simulations for which the temperature variation within the flow is very significant. This simulation allows us to deal with a fully developed turbulent flow and heat transfer in a ribbed channel with a high blockage ratio, whose parameters are chosen to reproduce the experiments of Casarsa et al. “Characterization of the velocity and heat transfer fields in an internal cooling channel with high blockage ratio. ” Proceedings of ASME TURBO EXPO 2002 June 3-6, Amsterdam, The Netherlands, 2002. The simulation is restricted to one pitch length and periodic conditions are applied in the streamwise direction. Mean and turbulent quantities are presented, together with the heat transfer.
Effects of encapsulated thymol and carvacrol mixture on growth performance, antioxidant capacity, immune function and intestinal health of broilers

Abstract This study evaluated the effect of encapsulated thymol and carvacrol mixture (ETCM) on the growth performance, antioxidant capacity, immune function and intestinal health of broilers. In total, 400 one-day-old male Arbour Acres broilers were randomly allocated to two groups with eight replicates of 25 birds each and fed a basal diet (control) or a basal diet supplemented with 150 mg/kg ETCM. The trial lasted 42 days. ETCM supplementation significantly increased (p < .05) average daily gain at d 22–42 and the organ indices of the spleen, pancreas and bursa of Fabricius at d 42. Regarding the serum antioxidant indices, ETCM supplementation significantly increased (p < .05) glutathione peroxidase (GSH-Px) and superoxide dismutase activities and decreased (p < .05) the malondialdehyde content at d 21 and 42. Furthermore, it significantly increased the villus height and villus height-to-crypt depth ratio in the jejunum at d 21 and the ileum at d 42. ETCM supplementation also up-regulated (p < .05) the intestinal mRNA levels of nuclear factor erythroid-2 related factor 2 (Nrf2), GSH-Px, occludin and zonula occludens-1 in the jejunal mucosa, while down-regulated (p < .05) the mRNA levels of nuclear factor kappa B (NF-κB), interleukin 1β, and tumour necrosis factor-alpha. Thus, ETCM positively impacts the growth performance, antioxidant capacity and immune function of broilers. ETCM can also improve intestinal health which may be partially related to the activation of the Nrf2 signalling pathway and the suppression of the NF-κB signalling pathway. HIGHLIGHTS ETCM improves the growth performance, antioxidant capacity and immune function of broilers. ETCM promotes the gut health of broilers, which may be by activating the Nrf2 signalling pathway and suppressing the NF-κB signalling pathway.
Oscillations of low-density barium photoplasma in electric field

A low-density barium photoplasma has been generated by two-step photoionization in an atomic beam. The transition from independent particle nature to collective effects has been observed in a V-shaped potential well. The potential is produced by a plate–grid–plate geometry in which the grid is negatively biased while the plates are grounded. Analytical expressions for the ion currents on the plates and grid have been deduced for a charge particle moving in the potential well and compared with experiments. The results are in good agreement and gave a method to estimate the ion transmission factor for the grid.
Estimating the prevalence of high-risk behaviors using network scale-up method in medical university students

BACKGROUND: There is not much information about high-risk behaviors in young groups, especially students. This study was conducted to estimate the prevalence of high-risk behaviors in students of universities of medical sciences in West Azerbaijan Province, Iran, by network scale-up (NSU) method. MATERIALS AND METHODS: This cross-sectional study was performed on 450 students from the universities of medical sciences. A researcher-developed checklist was used to collect the data. We considered number 16 for the social network size of students according to a previous study. Based on the response of individuals to each of the high-risk behaviors (including cigarette smoking, hookah use, opium consumption, alcohol drinking, tramadol/ecstasy taking, and extramarital sex) in their social network, the prevalence of these behaviors was estimated. The required calculations were performed using the NSU method. Furthermore, 95% uncertainty interval (UI) was calculated using the bootstrap method. RESULTS: Totally, 196 (44%) participants were male. The mean age (standard deviation) of the participants was 22 ± 2 years. Results showed that hookah use (20% 95% UI [18.9–21.1]) and opium consumption (0.4% 95% UI [0.24–0.6]) had the highest and lowest frequencies, respectively. Cigarette smoking (17% 95% UI [15.8–18]), alcohol use (8.3% 95% UI [7.5–9.1]), extramarital sex (8.2% 95% UI [7.4–9]), and tramadol/ecstasy taking (4% 95% UI [6.4–4.6]) were the next most common high-risk behaviors, respectively. CONCLUSIONS: Given that hookah use and cigarette smoking are the most common high-risk behaviors in students, especially males, appropriate cultural activities and educational programs should be employed by relevant authorities to reduce these behaviors.
The value of sharing lead time information

The widespread adoption of Enterprise Resource Planning (ERP) systems has, among many other benefits, increased the ability of a firm to share operational data with customers. In this paper we analyze the factors that determine whether or not sharing a specific type of information, namely state-dependent lead time information, can benefit a firm. We develop a stochastic model of a custom-production environment, in which customers are handled on a first-come first-served basis but have differing tolerances for waiting. The firm has the option to share different amounts of information about the lead time a potential customer may incur. Although the information differs across scenarios, the reliability of that information in terms of the probability that a stated lead time is met is equal in the eyes of the customers. We derive conditions under which sharing more information with customers improves the firm's profits and the customers' experiences. We show that it is not always the case that sharing information improves the lot of the firm. We show that when customers' tolerances for waiting are more heterogeneous then the benefit to the firm from sharing lead time information increases. Our conclusion is that management should only authorize sharing detailed lead time information, be it through information system integration or frontline sales people, after a careful analysis of a customer's sensitivity to delay.
Target Classification in Unattended Ground Sensors With a Two-Stream Convolutional Network

Field motion target classification is the classification of ground motion targets such as personnel, wheeled, and tracked vehicles. The common classification methods are to use a single signal such as acoustic or seismic signal as input, which extracts less in-depth information than multimodal. In order to improve the accuracy of field target classification and recognition, an acoustic–seismic multimodal fusion network model with two-stream networks, i.e., WaveNet based on the raw audio and LMNet based on logmel spectrogram, is proposed. This article first introduces asymmetric convolution to extract time–frequency information separately and designs a temporal attention module to enable the network to make full use of the relevant temporal information in different channels. Then, the proposed network is used to extract and fuse the depth features of the four-channel acoustic signal and the single-channel seismic signal to obtain the final target classification results. Meanwhile, a data enhancement scheme is explored in order to avoid the possible overfitting caused by the limited training data. Notably, the model achieves 86.07%, 92.56%, and 98.08% classification accuracy on the seismic, acoustic, and acoustic–seismic datasets, respectively, and the classification accuracy of the multimodal model is significantly higher than that of the unimodal model. The ablation study shows that the classification accuracy of the framework is improved by 0.62–6.83% compared to the pure nets. Compared with existing deep-learning models, the best result of multimodal model demonstrates a relative improvement of 2.05%.
Low-dose human chorionic gonadotropin supplementation initiated at the onset of ovarian stimulation can improve oocyte quality without impairing endometrial receptivity: Case series

Rationale: Whether continuous low-dose human chorionic gonadotropin (hCG) supplementation during controlled ovarian hyperstimulation (COH) can improve oocyte and embryo quality is still controversial in clinical practice. Patient concerns: We report the first case series of inadvertent COH in luteal-phase stimulation in the presence of endogenous or exogenous low-dose hCG. Diagnoses: Patients were diagnosed with infertility. Outcomes: The first two cases had inadvertent COH during preexisting pregnancy, and one of which produced more high-quality embryos (5 vs 1) in the presence of low hCG. Both cases had a live birth. The third case had 7 repeated failures of IVF, during which a total of 55 oocytes were obtained, but only 3 developed into transferable embryo. However, supplementation of 330 IU hCG per day from the onset of COH resulted in the recovery of one high-quality embryo and subsequent delivery of a healthy baby following fresh embryo transfer in eighth attemption. Lessons: In conclude, supplementation with low-dose hCG from the onset of ovarian stimulation can improve oocyte quality without impairing endometrial receptivity.
The Development of E-Module based on Guided Inquiry using Adobe Flash Professional CS6 in Materials The Diversity of Living Tings and Classification of Living Things for Students in Class X MIPA SMAN 3 Batam

The teaching materials based on Information and communication technology are widely uses as a tool in schools today. Based on preliminary investigation data by students of class X MIPA in SMAN 3 Batam shows that the learning materials used are not in accordance with the competency standards. Furthermore, there are also difficulties by students learning the materials biology.This study aims to produce an e-module based on guided inquiry in the material diversity of living tings and classification of living things that valid, practical, and effective to use. The type of research is development research using the Plomp model, and The design of research used in the field trial is intact group comparison. The assessment are carried out through learning activities, cognitive, affective, and psychomotor learning outcomes of students. The data analysis technique in this study used parametric and non-parametric data analysis techniques.The results showed that the e-module based on guided inquiry is very valid with a score of 93,06%. The results of field trials on student learning activities showed the score 83,00% with very valid criteria, cognitive learning outcomes cognitive learning outcomes 81,25 of students who passed the minimum mastery criteria, 76.72% affective learning outcomes with effective criteria, and psychomotor learning outcomes with a value of 82.50% with very effective criteria. The results showed that the e-module based on guided inquiry on the material on biodiversity and classification of living things that had been developed was valid, practical, and effective.
Delay‐dependent anti‐windup strategy for linear systems with saturating inputs and delayed outputs

This paper addresses the problem of the determination of stability regions for linear systems with delayed outputs and subject to input saturation, through anti‐windup strategies. A method for synthesizing anti‐windup gains aiming at maximizing a region of admissible states, for which the closed‐loop asymptotic stability and the given controlled output constraints are respected, is proposed. Based on the modelling of the closed‐loop system resulting from the controller plus the anti‐windup loop as a linear time‐delay system with a dead‐zone nonlinearity, constructive delay‐dependent stability conditions are formulated by using both quadratic and Lure Lyapunov–Krasovskii functionals. Numerical procedures based on the solution of some convex optimization problems with LMI constraints are proposed for computing the anti‐windup gain that leads to the maximization of an associated stability region. The effectiveness of the proposed technique is illustrated by some numerical examples. Copyright © 2004 John Wiley & Sons, Ltd.
Waveguide-coupled surface plasmon resonance sensor structures: Fano lineshape engineering for ultrahigh-resolution sensing

We analyze in detail the plasmon-induced transparency and Fano resonance exhibited by a waveguide-coupled surface plasmon resonance sensor structure. It is shown that the results of electromagnetic calculations made for the structure agree very well with those of mechanical calculations made for two coupled harmonic oscillators. This implies that an analogy holds between the present electromagnetic system and the coupled-oscillator system. The analogy established allows us to conclude that the plasmon-induced transparency and Fano resonance are caused by the coupling between a surface plasmon polariton and a planar waveguide mode. Sensing action of the Fano resonance is also analyzed in detail. From the calculation of the figure of merit for the sensitivity by intensity, it is shown that there is an optimum condition for the coupling of the modes to achieve a maximum sensitivity. Under the optimum condition, the figure of merit is found to be three orders of magnitude higher than that of a conventional surface plasmon sensor.
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection

Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high computational complexity. This paper proposes a new Android ransomware detection method based on traffic analysis to address the limitations. We exploit particle swarm optimization (PSO) to select traffic characteristics. Then, based on the selected traffic features, we classify the data traffic using decision tree and random forest classifiers. We examine ransomware cyberattacks in two distinct circumstances. In the first case, we find ransomware traffic; in the second, we locate a specific form of malware traffic among benign traffic. The proposed PSO-assisted feature selection enables the classifier to improve the detection accuracy significantly. The random forest is found to achieve the highest performance in detecting ransomware, whereas the decision tree is the best for detecting the types of ransomware. The accuracy improvements are 2.26% and 3.7% in the first and second scenarios, respectively. The proposed method removes 56.01% to 91.95% of the features. The proposed method convergences quickly as the optimization reaches an optimum value of about ten iterations.
MicroRNA-340 and MicroRNA-450b-5p: Plasma Biomarkers for Detection of Non-Small-Cell Lung Cancer

Objective Since the inefficient cancer management is caused by inaccurate diagnoses, there is a need for minimally invasive method to improve the diagnostic accuracy of non-small-cell lung (NSCLC). This study intended to detect miR-340 and miR-450b-5p levels in plasma from NSCLC patients and to assess the potential values for the prediction of tumor development and prognosis. Methods A GSE64591 dataset included 200 samples (100 early-stage NSCLC patients and 100 noncancer control) aimed to identify a panel of circulating miRNAs in plasma. The levels of miR-340 and miR-450b-5p in plasma from NSCLC patients (n = 120) and healthy controls (n = 120) were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The diagnostic and prognostic value of plasma miR-340 and miR-450b-5p were performed using receiver operating curves (ROC), Kaplan-Meier method, and Cox regression analysis. Results miR-450b-5p and miR-340 in plasma was significant difference between early-stage NSCLC patients and noncancer control by searching the GSE64591 dataset. When compared with the healthy controls, the plasma miR-340 was decreased in the NSCLC patients, but the plasma miR-450b-5p was increased. NSCLC patients could be distinguished accurately from healthy controls by the circulating miR-340 and miR-450b-5p with the AUC of 0.740 (95% CI: 0.677~0.804) and of 0.808 (95% CI: 0.754~0.861), respectively. With these two markers, the specificity and sensitivity were 78.33% and 77.5% with the AUC of 0.862. Patients with advanced T, N, and TNM stage demonstrated lower plasma miR-340 and higher plasma miR-450b-5p, and both of them were correlated with the prognosis of NSCLC patients. Furthermore, plasma miR-340 was also negatively correlated with tumor grade. All clinicopathological variables significantly associated to prognosis were T stage, N stage, TNM stage, tumor grade, and plasma levels of miR-340 and miR-450b-5p in univariate Cox regression analysis. The variables that retained their significance in the multivariate model were T stage, plasma miR-340, and plasma miR-450b-5p. Conclusion The plasma levels of miR-340 combined with miR-450b-5p potentially define core biomarker signatures for improving the accuracy of NSCLC diagnosis. Moreover, circulating miR-340 and miR-450b-5p are independent biomarkers of survival in nonmetastatic NSCLC patients.
Hybrid magnetohydrodynamic–kinetic model of standing shear Alfvén waves

We have developed a hybrid magnetohydrodynamics (MHD) –kinetic box model valid for standing shear Alfvén waves using the cold plasma MHD equations coupled to a system of kinetic electrons. The guiding centre equations are used for the motion of the electrons and the system is closed via an expression for the field-aligned electric field in terms of the perpendicular electric field and moments of the electron distribution function. The perpendicular electric fields are derived from the ideal MHD approximation. We outline the basic model equations and method of solution. Simulations are then presented comparing the hybrid model results with a cold plasma MHD model. Landau damping is shown to heavily damp the standing shear Alfvén wave in the hybrid simulations when $v_{th} \ge V_{A}$. The damping rate is shown to be in good agreement with the theoretical rate calculated for the model parameters.