Miracle-dz/UniFAR-FTUs huggingface dataset:
Elastic properties of GaSe films epitaxially grown on the Si(111)1 × 1-H surface, studied by Brillouin scattering

Brillouin light scattering has been used to study the elastic properties of GaSe films of different thicknesses epitaxially grown on a hydrogen-terminated non-reconstructed Si(111) surface. Both Rayleigh and Sezawa guided acoustic modes have been revealed, and their velocity dispersion measured as a function of the ratio between the film thickness and the acoustic wavelength. This enabled us to determine four of the five GaSe film elastic constants through a non-linear best fit procedure. The fifth elastic constant c66 was obtained from detection of shear horizontal waves in the thicker film. The results obtained show that the film constants are similar to those of the bulk material, except for the shear elastic constant c44 which is appreciably lower. The values of the elastic constants thus obtained were used to calculate the Brillouin cross-section taking into account the rippling induced by surface phonons both at the free surface and at the interface. This permitted us to achieve a satisfactory reproduction of the experimental spectra.
GetDP: a general finite‐element solver for the de Rham complex

GetDP is a high‐level finite element solver using mixed elements to discretize de Rham‐type complexes in one, two and three dimensions. This paper presents an overview of the structure of GetDP, highlighting the closeness between the organization of data defining a discrete problem and its symbolic mathematical description. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Structural Pharmacology of Cation-Chloride Cotransporters

Loop and thiazide diuretics have been cornerstones of clinical management of hypertension and fluid overload conditions for more than five decades. The hunt for their molecular targets led to the discovery of cation-chloride cotransporters (CCCs) that catalyze electroneutral movement of Cl− together with Na+ and/or K+. CCCs consist of two 1 Na+-1 K+-2 Cl− (NKCC1-2), one 1 Na+-1 Cl− (NCC), and four 1 K+-1 Cl− (KCC1-4) transporters in human. CCCs are fundamental in trans-epithelia ion secretion and absorption, homeostasis of intracellular Cl− concentration and cell volume, and regulation of neuronal excitability. Malfunction of NKCC2 and NCC leads to abnormal salt and water retention in the kidney and, consequently, imbalance in electrolytes and blood pressure. Mutations in KCC2 and KCC3 are associated with brain disorders due to impairments in regulation of excitability and possibly cell volume of neurons. A recent surge of structures of CCCs have defined their dimeric architecture, their ion binding sites, their conformational changes associated with ion translocation, and the mechanisms of action of loop diuretics and small molecule inhibitors. These breakthroughs now set the stage to expand CCC pharmacology beyond loop and thiazide diuretics, developing the next generation of diuretics with improved potency and specificity. Beyond drugging renal-specific CCCs, brain-penetrable therapeutics are sorely needed to target CCCs in the nervous system for the treatment of neurological disorders and psychiatric conditions.
Pattern recognition applied to infrared images for early alerts in fog

Fog conditions are the cause of severe car accidents in western countries because of the poor induced visibility. Its forecast and intensity are still very difficult to predict by weather services. Infrared cameras allow to detect and to identify objects in fog while visibility is too low for eye detection. Over the past years, the implementation of cost effective infrared cameras on some vehicles has enabled such detection. On the other hand pattern recognition algorithms based on Canny filters and Hough transformation are a common tool applied to images. Based on these facts, a joint research program between IFSTTAR and Cerema has been developed to study the benefit of infrared images obtained in a fog tunnel during its natural dissipation. Pattern recognition algorithms have been applied, specifically on road signs which shape is usually associated to a specific meaning (circular for a speed limit, triangle for an alert, …). It has been shown that road signs were detected early enough in images, with respect to images in the visible spectrum, to trigger useful alerts for Advanced Driver Assistance Systems.
Advanced EPI-X4 Derivatives Covalently Bind Human Serum Albumin Resulting in Prolonged Plasma Stability

Advanced derivatives of the Endogenous Peptide Inhibitor of CXCR4 (EPI-X4) have shown therapeutic efficacy upon topical administration in animal models of asthma and dermatitis. Here, we studied the plasma stability of the EPI-X4 lead compounds WSC02 and JM#21, using mass spectrometry to monitor the chemical integrity of the peptides and a functional fluorescence-based assay to determine peptide function in a CXCR4-antibody competition assay. Although mass spectrometry revealed very rapid disappearance of both peptides in human plasma within seconds, the functional assay revealed a significantly higher half-life of 9 min for EPI-X4 WSC02 and 6 min for EPI-X4 JM#21. Further analyses demonstrated that EPI-X4 WSC02 and EPI-X4 JM#21 interact with low molecular weight plasma components and serum albumin. Albumin binding is mediated by the formation of a disulfide bridge between Cys10 in the EPI-X4 peptides and Cys34 in albumin. These covalently linked albumin–peptide complexes have a higher stability in plasma as compared with the non-bound peptides and retain the ability to bind and antagonize CXCR4. Remarkably, chemically synthesized albumin-EPI-X4 conjugates coupled by non-breakable bonds have a drastically increased plasma stability of over 2 h. Thus, covalent coupling of EPI-X4 to albumin in vitro before administration or in vivo post administration may significantly increase the pharmacokinetic properties of this new class of CXCR4 antagonists.
Internal Factors Affecting Green Procurement of Food and Beverage Firms in Vietnam

The main purpose of this study is to explore the internal factors affecting the green procurement of Food and Beverage (F&B) enterprises in Vietnam. The official study was conducted with 235 F&B enterprises operating in Vietnam through direct and online survey methods. The research results have identified five internal factors that directly affect green procurement activities, including: (i) Corporate social responsibility, (ii) Business strategy, (iii) Quality human resources, (iv) Information technology and (v) Management awareness and commitment. In particular, the quality of human resources is the factor that has the most positive and strongest influence on the green procurement activities of enterprises in the F&B industry in Vietnam.
Reward does not modulate forgetting in free recall tests

Reward is thought to attenuate forgetting through the automatic effect of dopamine on hippocampal memory traces. Here we report a conceptual replication of previous results where we did not observe this effect of reward. Participants encoded eight lists of pictures and recalled picture content immediately or the next day. They were informed that they could gain monetary reward for recalling the pictures, with the level of reward indicated through the frame surrounding the picture. Reward was manipulated both within and across lists. Bayesian statistics found moderate evidence for the null hypothesis that reward does not modulate forgetting in human free recall.
Fast Computation of Resonant Metasurfaces in FDTD Scheme Using Dispersive Surface Susceptibility Model

A new framework of scattering analysis of metasurfaces composed of an assemble of resonant scatterers, with a multistage analysis procedure, is presented. The metasurface analysis using this framework utilizes a dispersive surface susceptibility model (SSM) and a finite-difference time-domain (FDTD) method, replacing the traditional brute force simulation with the physics-based SSM. The SSM extraction for characterizing scatterers is provided, which then is used to replace detailed practical scatterers in numerical simulation. The SSM with the frequency-dependent features’ behavior is described by multiple-Lorentz pole pairs, and the coefficients of the Lorentz model are obtained by using a rational fitting method. An easy-to-implement FDTD algorithm combined with the Lorentz-described SSM is proposed and presented. The efficiency of the proposed framework is proven by comparing it with conventional FDTD. The validity of the proposed framework is verified using commercial EM simulation software. The use of this analysis procedure is demonstrated by two example scatterers. Through the examples, we discuss the requirement of the meshing lattice size, sensitivity of the algorithm to the incident angle, and influence of the edge effects on the bistatic radar cross section (RCS) computation.
Lagrangian multi-particle statistics

Combined measurements of the Lagrangian evolution of particle constellations and the coarse-grained velocity derivative tensor ∂ũ i /∂ x j are presented. The data are obtained from three-dimensional particle tracking measurements in a quasi isotropic turbulent flow at an intermediate Reynolds number. Particle constellations are followed for as long as one integral time and for several Batchelor times. We suggest a method to obtain ∂ũ i /∂ x j from velocity measurements at discrete points. Based on an analytical result and on a sensitivity analysis, both presented here, we estimate the accuracy for filtered strain, ᵴ 2, and enstrophy, 2, at around 30%. The accuracy improves with higher tracer seeding density and with smaller filter scale Δ. We obtain good scaling with t* = √2r 2/15S 2(r) for filtered strain and vorticity and present filtered R–Q invariant maps with the typical ‘tear drop’ shape that is known from velocity gradients at viscous scales. Lagrangian results are given for the growth of particle .
Power Laws in Real Estate Prices? Some Evidence

Power law distributions have previously been observed in data like city-size distributions (Zipf’s Law), income distributions, and financial asset prices. In this paper we explore the distribution of real estate prices in Charleston County, South Carolina. We fit both a power law, lognormal and exponential distributions to the data and compare the goodness of fit among the distributions. We find that the best fit distribution lies somewhere between the lognormal and power law distributions. We estimate how the power law exponent changes over time and find a potential relationship between the shape of the power law distribution and the bursting of the real estate bubble in 2007.
A Multiphase Godunov Method for Compressible Multifluid and Multiphase Flows

We propose a new model and a solution method for two-phase compressible flows. The model involves six equations obtained from conservation principles applied to each phase, completed by a seventh equation for the evolution of the volume fraction. This equation is necessary to close the overall system. The model is valid for fluid mixtures, as well as for pure fluids. The system of partial differential equations is hyperbolic. Hyperbolicity is obtained because each phase is considered to be compressible. Two difficulties arise for the solution: one of the equations is written in non-conservative form; non-conservative terms exist in the momentum and energy equations. We propose robust and accurate discretisation of these terms. The method solves the same system at each mesh point with the same algorithm. It allows the simulation of interface problems between pure fluids as well as multiphase mixtures. Several test cases where fluids have compressible behavior are shown as well as some other test problems where one of the phases is incompressible. The method provides reliable results, is able to compute strong shock waves, and deals with complex equations of state.
PSYCHOSOCIAL CORRELATES OF PROFILE PICTURES EDITING AND PERCEIVED SELF-IMAGE, BODY SATISFACTION AMONG SOCIAL MEDIA CONSUMERS

This study entails the notion of studying the psychosocial correlates of variations and modifications that social media users tend to carry out at the time of uploading and sharing their profile pictures. The In literature review researcher discuses the descriptive account of the academic current state of affairs with regard to the social networking profile picture uploaded by an individual being online. The study is important because it inspects one of the crucial imperative involving individual’s psyches behind changing and choosing variety of profile pies and in order to present them online. Researcher observes the psychosocial factors that lie behind influencing the social media users to change and edit their profile picture including the gender- based considerations. Moreover, study also observes the relationship of picture editing and interest of social media users with photography. For this purpose, a sample of 100 university students had been taken to fill the seven-likert scale questionnaire. The questionnaire consisted on questions related to social and psychological factors of an individual for changing and editing the social media profile picture and perceived notion of self-image and body satisfaction by users. The results of the study indicate that Females tend to be more interested in editing their profile pictures on social media. There seems not a strong relationship between the interest of photography and editing of the photo. Three main reasons, representing oneself for being unique, to show the fun and for being in mainstream line has been observed that motivate the users most of the time to change and edit the profile picture. Keywords: Psycho-social, social media, profile pictures
Comparison Analysis Of Profitability And Leverage Of Hotel, Restaurant And Tourism Sub Sector Companies Before And During Covid-19 Pandemic

The worldwide economy, particularly Indonesia's, has been negatively impacted by the COVID-19 pandemic. Some of the industries most impacted by the COVID-19 epidemic are those in the hotel, restaurant, and tourism industries. This study uses profitability and leverage to examine whether there are differences in the profitability and leverage situations before and after the COVID-19 epidemic. There are discrepancies between the findings of earlier studies, who found no differences between profitability before and during the COVID-19 epidemic. In this research, a comparative descriptive methodology and a quantitative technique were applied. From 2018 through 2022, financial statistics are used in this analysis. Purposive sampling was used to collect samples, and 25 companies that match the criteria were found. When data were not normally distributed, the non-parametric Wilcoxon signed rank test was employed instead of the paired sample t-test as the normality test. The study's conclusion demonstrates the leverage and profitability of businesses in the travel, dining, and hospitality sectors both before and after the COVID-19 epidemic. In the 25 organizations that were analyzed, the results revealed a significant value (α) of 5% and a decline in the value of profitability and leverage. This indicates that the Indonesian hotel, restaurant, and tourism sub-sector businesses have suffered as a result of the COVID-19 outbreak. This study's findings are anticipated to be used to investment decision-making. Additionally, this research can be used as information by businesses facing profitability and leverage issues before and during the pandemic so that they can take immediate action to maintain their operations going forward.
Planning in the face of ‘deep divisions’: A view from Beirut, Lebanon

This article discusses planning in the global South-East while focusing on the specific context of social divides, political turmoil and conflict situations. The article proposes a five-way framework based on political science and planning theory to analyse such contexts. The article explores the case of Beirut, Lebanon that has undergone several episodes of internal and external conflicts resulting in a society splintered along sectarianism. Two case studies of open urban spaces and their public activities are analysed using the five-way framework The discussion indicates how economic liberalism that is prevalent in countries of the South-East, along with place-based identities, interest-based identities, consensus orientated processes and institutionalism might facilitate a cultivation of deep values away from a narrowly constructed identity. The article argues that planners should understand the options for positive action that aim to bridge deep divisions and suggests that the five-way framework provides a reference for contextualising in different ways to suit particular contexts. Therefore, the framework is not necessarily restricted to the South-East but could be applicable to any context which manifests deep divisions.
Diagnostic utility of whole genome sequencing in adults with B-other acute lymphoblastic leukemia

Key Points • WGS stratifies 88% of B-other ALL in an established genetic subtype that was not possible to detect via cytogenetics. • Complex karyotype B-ALL emerges as a heterogeneous group of genetic subtypes, including MEF2D-r, DUX4-r, and IGK::BCL2.
Tight-Binding Approach to Natural Circular Dichroism in the X-Ray Region

X-ray natural circular dichroism is studied on the basis of a tight-binding approximation for atoms commensurately arranged on a helix. Dichroic spectra are calculated by considering electric dipole and quadrupole transitions that raise a p inner-shell electron to empty Bloch valence states. The influence of the local atomic environment on dichroic profiles and integrated intensities is discussed. An intuitive description of the effect is given in terms of simple geometrical concepts.
Joint feature-based visual quality assessment

A feature-based visual quality measurement method is presented as a reduced-reference approach. The proposed metric, called the joint feature similarity metric, is based on three types of point features extracted from the edge, planar and corner regions. It can characterise video quality in homogeneous and edge regions simultaneously. The effectiveness of the proposed visual quality assessment algorithm is shown with abundant sets of test video sequences.
Computational fluid dynamics investigation of a mach 12 scramjet engine

The description of combustion in high-speed turbulent flows, where turbulent mixing, compressibility effects, and chemical kinetics processes are competing, still remains a challenging issue for numerical simulations. The key features of such turbulent supersonic reactive flows are integrated into a turbulence-chemistry interaction closure, which relies on the partially stirred reactor framework. The corresponding closure, hereafter denoted as the unsteady partially stirred reactor model, is incorporated into the ONERA computational fluid dynamics code CEDRE. The computational model is used to investigate a Mach 12 rectangular-to-elliptical-shape-transition scramjet engine developed and operated at the University of Queensland. Results of Reynolds-averaged Navier-Stokes numerical simulations based on either the unsteady partially stirred reactor concept or the classical quasi-laminar closure are presented and compared. Similar results in terms of pressure distributions are obtained, thus confirming that the essential point to cope with such scramjet engine conditions is to represent satisfactorily the compressible flowfield. The Reynolds-averaged Navier-Stokes numerical simulations are subsequently used to investigate the engine performance, through the calculation of energetic efficiencies. The obtained results bring useful insights into the classical quasi-one-dimensional performance analyses. In particular, the inlet injection scheme is found to display the best performance with a combustion efficiency of 78%.
Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices

Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks.
Assessment of ship manoeuvring safety in waterway systems by relative navigational risk

The safety of vessels navigating in the sea waterway system is ensured by fulfilling the acceptable restrictions called safe ship operation conditions in that system. The assessment of navigation safety is particularly important when the conditions for safe operation of ships in the waterway system are changed concerns increasing the maximum parameters of vessels, increasing the allowable hydrometeorological conditions or changing the minimum tug assistance. The article presents a method for assessing navigation safety when the conditions for the safe operation of vessels in the waterway system get changed. The method uses two indicators, which are difference in navigation risks and relative navigation risk. To determine the navigational risk, algorithms were developed for calculating the probability of accidents caused by the deterioration of navigation conditions and technical failure of ship equipment and tugs. Another algorithm was developed for calculating the consequences of the accidents that involve blocking a waterway by a ship anchoring in an emergency, grounding, impact of the ship against a port structure or moored ship and a collision with another ship in motion. The method developed for assessing navigation safety by means of relative navigation risk can be used in practice when changing the conditions for safe operation of vessels in the waterway system and when the system is modernized. Navigational safety management is a decision process that is implemented in the loop presented in the article. The acceptable risk is determined on the basis of vessel traffic intensity and ship parameters defined by safe operation conditions for a given waterway system. Relative navigational risk may be used in assessment and comparison of various conditions of safe ship operation. The probability of an accident caused by ship's moving outside the available navigable area due to technical failures of ship equipment or tugs is determined, depending on the type of port waterway and the manoeuvres performed.
Two-dimensional assembly of gold nanoparticles with a DNA network template

Gold nanoparticles have been assembled into two-dimensional complexes using a DNA network template. Atomic force microscope images indicate that gold nanoparticles can be artificially arranged using a DNA molecular template with an average separation of 260 nm. Furthermore, the pattern of the complex can be controlled by changing the concentration of the DNA solution. The results suggest that this method is effective in achieving positional control of nanoscale arrangements for a wide range of applications.