Miracle-dz/UniFAR-FTUs huggingface dataset:
The Boltzmann project

The International Committee for Weights and Measures (CIPM), at its meeting in October 2017, followed the recommendation of the Consultative Committee for Units (CCU) on the redefinition of the kilogram, ampere, kelvin and mole. For the redefinition of the kelvin, the Boltzmann constant will be fixed with the numerical value 1.380 649 × 10−23 J K−1. The relative standard uncertainty to be transferred to the thermodynamic temperature value of the triple point of water will be 3.7 × 10−7, corresponding to an uncertainty in temperature of 0.10 mK, sufficiently low for all practical purposes. With the redefinition of the kelvin, the broad research activities of the temperature community on the determination of the Boltzmann constant have been very successfully completed. In the following, a review of the determinations of the Boltzmann constant k, important for the new definition of the kelvin and performed in the last decade, is given.
Environmental and physiological measures in the neonatal period as indicators of growth and puberty of Holstein heifers

ABSTRACT: The present study assessed the influence of environmental variables at birth (birth season, temperature, relative humidity, THI - temperature and humidity index) and newborn serum protein level of 450 Holstein heifers on growth (body weight, and mortality rate) and reproductive performance (weight and age at puberty, age at first conception, and conception rate at first artificial insemination). The immune passive transfer was positively related to the weights at 30 and 60, with a trend at 90 days, which consequently affected weight at puberty, age at puberty, and age at conception. Therefore, it reinforces the importance of protocols with newborns that allow the assessment of the passive transfer of immunity. Calves born during the warmer months exhibited 4.2 and 12.28 kg less weight at weaning and puberty, respectively, compared to calves born during winter. Thus, calves born in an environment with higher THI showed changes in development, health, and reproductive efficiency in the short, medium, and long term. These findings reinforce the importance of adopting better colostrum management and welfare conditions, especially in warm season, to allow successful immune passive transfer and increase system efficiency.
Three coupled slow temporal vector optical solitons in a cold seven-level atomic system

A theoretical scheme is proposed to investigate the formation of three coupled slow temporal vector optical solitons in a lifetime-broadened seven-state atomic medium. We demonstrate that the three polarized components of a low intensity linear-polarized pulsed probe field can evolve into three coupled slow temporal vector optical solitons due to the fact that group-velocity dispersion can be well compensated by the self- and cross-phase-modulation effects. Moreover, this atomic system could support the existence of various types of three coupled slow temporal vector solitons, such as bright–bright–bright, bright–dark–bright, dark–dark–dark, and bright–dark–dark vector solitons.
Organizational and Environmental Determinants of Board Performance in Community-Based Human Service Nonprofit Organizations

ABSTRACT Previous studies have examined board-level determinants of board performance but left other organizational and environmental factors underexplored. This study examines determinants of board performance through multiple theories by using a sample of community-based human service nonprofits in Taiwan. The results show that organizational characteristics, such as governance structure, organizational stability, and management professionalization, are associated with board performance. A two-tier board design and a stable organization are essential to effective board performance, while having professional chief executive officers is linked to less effective board performance. Surprisingly, the results also show that external funding sources are not associated with board performance. PRACTICE POINTS Active board engagement does not necessarily mean better board performance. A two-tier governance structure can positively influence board performance. Nonprofit organizations need board members to fulfill their roles and responsibilities, especially when nonprofit organizations are unstable and/or when chief executive officers are professional.
The Role of Social Capital on International Trade Transactions at Wini Market, In Realizing Social Harmonization of Indonesia-Timor Leste Border Community

May 20, 2002, East Timor was internationally recognized as an independent country by the name of Timor Leste with extraordinary support from the United Nations and thus officially became an independent state separate from Indonesia. One of the border areas that were selected as the research site was the Wini border, North Central Timor Regency, East Nusa Tenggara Province. In the Wini region, there is a market called the Wini market. This study aims to explain the role of social capital in international trade transactions in the Wini Market because it involves different citizens from Timor Leste and Indonesia. The research used a descriptive approach and qualitative research method. Theories used are Social Capital theory, Classical Economic theory, and the concept of Cross-Border Trade. The research shows that the people from Timor Leste conduct economic transactions, in this case, shopping at the Wini market every Monday to meet their food, clothing, and other needs. For border communities, the interactions in the Wini market are not only for trade transaction but also to interact with their relatives and others. The results of this study may contribute to the knowledge of the relationship between the science of International Relations and Sociology. From a practical point of view, a border policy can be applied in the economic sector and in the mechanism of mutually beneficial trade transactions between citizens of different countries. The elements of social capital such as trust, norms, and networks have functioned in the process of trade transactions. The application of social capital in international trade economic practices in the Wini Market is what keeps social harmony in the context of international trade transactions in the Wini Market.
Numerical simulation of the Ahmed vehicle model near-wake

The near-wake structure of the flow around the Ahmed vehicle model is numerically achieved by a time-averaged procedure of the unsteady flow modeled by the Navier-Stokes equations with a Large Eddy Simulation (LES) model for the turbulence . The Reynolds (based on the model length) and the Mach numbers are fixed in 4.25 million and 0.18, respectively. A viscous and incompressible fluid model of Newtonian type is assumed. A LES technique together with the Smagorinsky model as Subgrid Scale Modeling (SGM) and the van Driest near-wall damping is employed. The coherent macro structures in the near-wake are estimated through the second invariant of the velocity gradient (Q-criterion) applied on the time-average flow. A monolithic computational code is employed, which is based on the finite element method with equal order basis functions (linear) for pressure and velocity and uses a Streamline Upwind Petrov-Galerkin (SUPG) scheme combined with a Pressure Stabilizing Petrov-Galerkin(PSPG) one. Parallel computing on a Beowulf cluster with a domain decomposition technique for solving the algebraic system is used. [Submitted to Int J Num Meth Fluids]
Description of the Surgical and Prosthetic Workflow of a Patient Rehabilitated with Implant-Retained Auricular Prosthesis

Facial tissue loss is acquired as a result of congenital anomalies or acquisitional misshapen like tumoral lesions or accidents. These defects result in functional problems, esthetic concerns, and also psychosocial troubles and could be repaired by plastic surgery or reconstructed using facial prostheses. Conventional tissue-supported auricular prostheses meet lots of challenges due to dependence on tissue undercut or adhesive for retention. Implant-retained auricular prostheses lessen the complications related to adhesive-retained prostheses and alleviate the need for invasive plastic surgery. Implant-retained auricular prostheses provide patients with secure retention and avoid prosthesis disengagement caused by movable surrounding soft tissue. The impact of prostheses with secured retention and satisfactory esthetics on the self-confidence of patients with facial defects is promising. This paper aimed to describe the surgical and prosthetic workflow of a patient with acquired ear deformity due to basal cell carcinoma (BCC) which was rehabilitated with implant retained auricular prosthesis.
Research on the Classification Method of Refrigerator Ingredients Based on Inception Structure

With the continuous development of intelligent refrigerators, users are having higher and higher requirements for smart management of refrigerator contents. When using traditional machine learning algorithms to deal with refrigerator ingredients classification, problems such as slow recognition speed and low accuracy would often arise. At the same time, the classification accuracy is easily affected by the location of the content. Therefore, this paper uses continuous asymmetric convolutions and depthwise separable convolutions to improve the original Inception model and builds a classification prediction network based on the improved Inception model. The steps to applying the said model is as follows: First, we put the Radio Frequency Identification (RFID) tag on the food in the refrigerator, and then we collect the antenna data RSSI received by each tag through the reader. Finally, the RSSI is preprocessed and entered into the classification network to determine the location of the label. The proposed classification network has the advantages of possessing a simple structure, easy expansion of network depth, and fewer training parameters. The experimental results show that compared with other machine learning algorithms and pure convolution networks, the lightweight network model based on the improved Inception structure demonstrates great superiority. Compared with the original Inception structure, the enhanced network model is more lightweight. The number of parameters is reduced by 50%, and the amount of float‐point operations is reduced by 34%. Meanwhile, the accuracy of the lightweight model has been improved by 0.6%. Thus the improved model has better prediction performance in the classification of refrigerator content. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
Signal fusion‐based targets detection in the presence of clutter and subspace interference for multiple‐input‐multiple‐output radar

In this study, a signal fusion-based target detection algorithm for frequency diversity multiple-input-multiple-output radar in the presence of clutter and subspace interference is investigated. Remarkably, the proposed algorithm can not only ensure a unique solution for the involved optimisations but also get a good detection performance at a low communication cost. Furthermore, the proposed detector processes a constant false alarm rate with respect not only to the unknown spectral properties of the unstructured interference but also to the structured interference distribution. Simulation experiences in several scenarios indicate that the proposed algorithm has significant improvement in detection performance over conventional detection algorithms.
Multivariate Analysis of the content of bioative compounds in kale (Brassica oleracea)

Antioxidants are compounds associated with delayed aging and the prevention of cancer and inflammatory diseases. These substances can be lost during food processing. Therefore, this work sought to quantitatively characterize the content of bioactive compounds in kale after different treatments and to explore the data generated using principal component analysis (PCA). The analyzes of the total phenolic contents were performed by the Folin-Ciocalteu method and the antioxidant activity were performed by the DPPH and FRAP methods. The graphs of the scores showed that the total phenolics were grouped according to the part of the kale and the solvent used for the extraction, while the graph of the loading showed the influence of the heat treatment in the extraction. It is concluded that the amount of total phenolics contents and antioxidant activity varies depending on the extraction solvent, parts of the vegetable and heat treatment and that this favored its extraction.
ANEM: A rotating composite target to produce an atmospheric-like neutron beam at the LNL SPES facility

A fast neutron (E> MeV) irradiation facility is under development at the 70 MeV SPES proton cyclotron at LNL (Legnaro, Italy) to investigate neutron-induced Single Event Effects (SEE) in microelectronic devices and systems. After an overview on neutron-induced SEE in electronics, we report on the progress in the design of ANEM (Atmospheric Neutron EMulator), a water-cooled rotating target made of Be and W to produce neutrons with an energy spectrum similar to that of neutrons produced by cosmic rays at sea-level. In ANEM, the protons from the cyclotron alternatively impinge on two circular sectors of Be and W of different areas; the effective neutron spectrum is a weighted combination of the spectra from the two sectors. In this contribution, we present the results of thermal-mechanical Finite Element Analysis (ANSYS) calculations of the performance of the ANEM prototype. The calculations at this stage indicate that ANEM can deliver fast neutrons with an atmospheric-like energy spectrum and with an integral flux Φn(1-70 MeV) ∼107 n cm−2s−1 that is 3×109 more intense than the natural one at sea-level: a very competitive flux for SEE testing.
Supersonic Combustion in Air-Breathing Propulsion Systems for Hypersonic Flight

Great efforts have been dedicated during the last decades to the research and development of hypersonic aircrafts that can fly at several times the speed of sound. These aerospace vehicles have revolutionary applications in national security as advanced hypersonic weapons, in space exploration as reusable stages for access to low Earth orbit, and in commercial aviation as fast long-range methods for air transportation of passengers around the globe. This review addresses the topic of supersonic combustion, which represents the central physical process that enables scramjet hypersonic propulsion systems to accelerate aircrafts to ultra-high speeds. The description focuses on recent experimental flights and ground-based research programs and highlights associated fundamental flow physics, subgrid-scale model development, and full-system numerical simulations.
Emergence of NDM in Association with OXA-48 Carbapenemase in Raoultella Terrigena from a Moroccan University Hospital in Casablanca, Morocco

Objective: The purpose of this study was to investigate the emergence of Raoultella terrigena, a rarely found opportunistic pathogen, co-producing NDM and OXA-48 carbapenemases in isolates recovered from various clinical specimens in our institution. Methods: From April 2020 to November 2021, we focused on strains of Enterobacteriaceae with reduced sensitivity to ertapenem giving rise to suspicion of the production of carbapenemases according to the CASFM-EUCAST criteria. These strains were isolated from samples for diagnostic purposes and identified in the microbiology laboratory of our institution. Only non-duplicate clinical and surveillance isolates obtained from patients were included. Results: Out of 159 Enterobacteriaceae suspected, 53 strains of Raoultella terrigena producing carbapenemases were isolated. Among these isolates, 64%(n=34) were NDM producers, 4% (n=2) were OXA-48 producers and 32% (n=17) had both the NDM and OXA-48. The co-existence of NDM and OXA-48 carbapenemases was found more often in Raoultella terrigena than Klebsiella pneumoniae. Among the seventeen isolates of Raoultella terrigena, all were multidrug-resistant. Conclusion: This study reported for the first time the emergence of NDM and OXA-48 carbapenemases co-existence in Raoultella terrigena isolates in our country which is starting to limit treatment options.
Compressive Video Acquisition with Multiple Sensors and No Reference Frames

Standard large-sensor-array-based camera designs are uneconomical when imaging with exotic wavelengths that require expensive photodetectors. The single-pixel camera allows image acquisition with only one sensor; however, its compressive sampling rate is too low to reliably acquire video signals. Hence, we consider the problem of compressive video acquisition with just a few sensors. We propose a block-based framework featuring two sensor modes that does not require the periodic collection of reference frames. We use a joint-sparse signal model to exploit temporal correlations in the video signal, and we explore the behaviour of our framework under different sampling conditions.
Optimization of coupling between He11-waveguide mode and Gaussian beam

Megawatt microwave power transmission systems often use a combination of quasi optical mirror lines andovermoded corrugated circular waveguides. The optimum coupling between a free space Gaussian beam and acorrugated waveguide can be achieved by particular mode mixtures of HEll and HE12 hybrid modes [1]. Thewanted amount of the HE12 mode can be generated from the HEll in a corrugated mode converter with periodicdiameter variation or in a corrugated taper. In a previous publication [2] the design and first measurements onperiodic mode converters have been presented. The promising detailed measurements (section A) of these ratherlong devices stimulated the development of very compact converters - i.e. nonlinear tapers. Their design ispresented in section B.
Theoretical analysis of Hall factor and hole mobility in p-type 4H-SiC considering anisotropic valence band structure

The temperature dependencies of hole density and hole mobility of p-type 4H-SiC obtained by Hall effect measurement were theoretically analyzed taking account of its anisotropic valence band structure. The experimental Hall factor, which was derived from the ratio of theoretical hole density to experimental Hall hole density, was reproduced by theoretical Hall factor computed using the valence band structure and relaxation times of scattering mechanisms. The product of the theoretical Hall factor and drift mobility computed by the same transport model agreed well with the experimental Hall mobility. Based on analyses of the results, it was revealed that the temperature dependence of Hall factor can be explained by considering the anisotropic valence band structure along with consideration of anisotropic relaxation times. The contribution of each scattering mechanism was also discussed, and empirical formulas for Hall and drift mobilities are presented.
Multimodal sentiment recognition based on Bi-LSTM and fusion mechanism

: The research of multimodal emotion recognition has important application value in artificial intelligence, human-computer interaction and other fields. With the development of deep learning, emotion recognition has been paid more and more attention by researchers. Existing research has solved the problem of unimodal emotion recognition, but neglected the research on the combination of bidirectional long and short neural networks and attention mechanisms. Based on this, we propose an emotion recognition model based on Bi-LSTM and multi-head attention mechanism, which combines the characteristics of LSTM for long-term memory and the advantage that the attention mechanism can quickly screen out more important information among many information, and further improves the accuracy of multimodal emotion recognition. Experimental results show that compared with CNN, CMN, BC-LSTM and other models, this model has better accuracy and f1-score.
Asymptotic analysis and computations of probability measures

This thesis is devoted to asymptotic analysis and computations of probability measures. We are concerned with the probability measures arising from two classes of problems: Bayesian inverse problems and rare events in molecular dynamics. In the former we are interested in the concentration phenomenon of the posterior measures such as posterior consistency, and the computational methods for sampling the posterior, such as the Markov Chain Monte Carlo (MCMC). In the latter we want to describe the most probable transition paths on molecular energy landscapes in the small temperature regime. First, we examine the asymptotic normality of a general family of finite dimensional probability measures indexed by a small parameter. We begin this by studying the best Gaussian approximation to the target measure with respect to the Kullback-Leibler divergence, and then analyse the asymptotic behaviour of such approximation via Γ-convergence. This abstract theory is employed to study the posterior consistency of a finite dimensional Bayesian inverse problem. Next, we are concerned with a Bayesian inverse problem arising from barcode denoising, namely reconstructing a binary signal from finite many noisy pointwise evaluations. By choosing the prior appropriately, we show that in the small noise limit the resulting posterior concentrates on a manifold which consists of a family of parametrized binary profiles. Furthermore, we extend the use of Gaussian approximation in the context of the (infinite dimensional) transition path problem. In particular, we characterize the most probable paths as an ensemble of paths which fluctuates within an optimal Gaussian tube. The low temperature limit of these optimal paths is also identified via the Γ-convergence of some relevant variational problem. Finally, we introduce, analyze and implement a novel Bayesian level set method for solving geometric inverse problems. This Bayesian approach not only removes some draw- backs of classical level set methods but also enables quantifying geometric uncertainties induced by noisy measurements.
Project Risk and Procurement Management

: One of the most important keys/factors that affect the project implementation and cause a loses and fail is (Risk Factor), hence, the project risk and procurement management is about how to plan, act, monitor and control the expected project risk. The nature of risk involves an element of uncertainty because of the need to consider hypothetical future events. The event may or may not happen, after the global financial crisis, and the unexpected factors that happened in that period, global organizations / companies started focusing on the risk management, so, it is important to any organization/company to set-up a strategy to manage the project risk and plan for risk responses; each risk probability and impact should be determined and measured first. There is a different level of risks; therefore, several ways to response are available; in other word; managing the risk is linked with the natural and degree of risk and the organization risk attitude. Planning in advance for project risk will assist the project manager to ensure the successful of project in term of time, cost, scope, quality and resources, etc. and this key will help the organizations in making Go or No Go decisions, the decision that will be taken based on advance plan will definitely release the pressure from the project team and improve the work performance. Finally, Global organizations, which include the teamwork or partners from different nationalities must have a clear context for risk communications, it is also necessary to define the roles and responsibilities by allocating risk owners, who know what to do if the threats become true.