Miracle-dz/UniFAR-FTUs huggingface dataset:
Heads & tails: Bell Beakers and the cultural role of Montejunto Mountain (Portugal) during the second half of the 3rd millennium BC

This study aims to address the role that Montejunto Mountain (Portuguese Estremadura) may have had during the second half of the 3rd millennium BC. To this end, the available set of decorated Bell Beakers was studied, with particular attention to their formal and decorative variability. The materials came from the Walled Enclosure of Pragança, on the NW side of Montejunto and Cave III from Furadouro Valley, located to SE, which allowed to depict patterns and trends that might reflect identitarian and cultural differentiations between the communities that surrounded this landscape marker. Furthermore, non-local influences were also detected in the beaker elements, highlighting that these groups would be an integrant part of wider networks. As such, even based on materials from older excavations, it was perceptible that Montejunto must have had a structural role in the cultural, social and possibly symbolic landscape of the 3rd millennium BC groups.
Determination of the Harmonic Losses in an Induction Motor Fed by an Inverter

The advancement, development, improvement, and increased use of power electronic converters led to the efficient speed control of electrical drives. The most famous three-phase induction motor-related control to Pulse-Width Modulation (PWM) technique is used to operate multilevel inverters such as variable-frequency or six-step Voltage Source Inverter (VSI). Switching devices of the inverter are used in the drive systems and act as the main source of harmonics. When the induction motor is fed from the PWM inverter, it will be supplied by low order (5th, 7th, 11th) time harmonic voltage. The motor performance is affected by the presence of these time harmonic components because the additional losses generated in the motor defect its performance, generate pulsating torque, and reduce efficiency. In this work, the analysis of a dynamic model of an induction motor in transient and steady-state operation is developed, considering the effect of time-harmonic voltages generated by the inverter, skin effect, skew effect, temperature rise effect, iron core loss, stray load loss, and magnetic saturation on the motor performance. The performance of the motor is studied by the time-harmonic equivalent circuit and by the fundamental equivalent circuit. The motor performance in terms of efficiency and power factor is compared with the experimental results for both sinusoidal and VSI motor feeds in order to validate the model accuracy.
Indolylazine Derivative Induces Chaperone Expression in Aged Neural Cells and Prevents the Progression of Alzheimer’s Disease

The risk of progression of most sporadic neurodegenerative diseases, including Alzheimer’s disease, increases with age. Traditionally, this is associated with a decrease in the efficiency of cell protection systems, in particular, molecular chaperones. Thus, the development of small molecules able to induce the synthesis of chaperones is a promising therapeutic approach to prevent neural diseases associated with ageing. Here, we describe a new compound IA-50, belonging to the class of indolylazines and featured by a low size of topological polar surface area, the property related to substances with potentially high membrane-penetrating activity. We also estimated the absorption, distribution, metabolism and excretion characteristics of IA-50 and found the substance to fit the effective drug criteria. The new compound was found to induce the synthesis and accumulation of Hsp70 in normal and aged neurons and in the hippocampi of young and old mice. The transgenic model of Alzheimer’s disease, based on 5xFAD mice, confirmed that the injection of IA-50 prevented the formation of β-amyloid aggregates, loss of hippocampal neurons and the development of memory impairment. These data indicate that this novel substance may induce the expression of chaperones in neural cells and brain tissues, suggesting its possible application in the therapy of ageing-associated disorders.
Optical Properties of AlInN/AlN HEMTs in Detail

In this study, the optical properties of AlInN/AlN high electron mobility transistor (HEMT) structure, grown on c-oriented sapphire with Metal-Organic Chemical Vapor Deposition (MOCVD) technique, being investigated. Optical characterization is made Kubelka- Munk method. Transmittance, absorbance, and reflectance are investigated in detail. Also, the Kubelka-Munk theory is employed to determine the forbidden energy band gap of InN by using special functions. The energy band gap obtained by this method was compared.
Histone Citrullination Mediates a Protective Role in Endothelium and Modulates Inflammation

NETosis is a key host immune process against a pathogenic infection during innate immune activation, consisting of a neutrophil “explosion” and, consequently, NET formation, containing mainly DNA, histones, and other nuclear proteins. During sepsis, an exacerbated immune host response to an infection occurs, activating the innate immunity and NETosis events, which requires histone H3 citrullination. Our group compared the circulating histone levels with those citrullinated H3 levels in plasma samples of septic patients. In addition, we demonstrated that citrullinated histones were less cytotoxic for endothelial cells than histones without this post-translational modification. Citrullinated histones did not affect cell viability and did not activate oxidative stress. Nevertheless, citrullinated histones induced an inflammatory response, as well as regulatory endothelial mechanisms. Furthermore, septic patients showed elevated levels of circulating citrullinated histone H3, indicating that the histone citrullination is produced during the first stages of sepsis, probably due to the NETosis process.
Do Greener Urban Streets Provide Better Emotional Experiences? An Experimental Study on Chinese Tourists

Compared to the usual environment, the potential momentary emotional benefits of exposure to street-level urban green spaces (UGS) in the unusual environment have not received much academic attention. This study applies an online randomized control trial (RCT) with 299 potential tourists who have never visited Xi’an and proposes a regression model with mixed effects to scrutinize the momentary emotional effects of three scales (i.e., small, medium and large) and street types (i.e., traffic lanes, commercial pedestrian streets and culture and leisure walking streets). The results identify the possibility of causality between street-level UGS and tourists’ momentary emotional experiences and indicate that tourists have better momentary emotional experiences when urban streets are intervened with large-scale green vegetation. The positive magnitude of the effect varies in all three types of streets and scales of intervention, while the walking streets with typical cultural attractions, have a larger impact relative to those with daily commute elements. These research results can provide guidance for UGS planning and the green design of walking streets in tourism.
Surveillance and Analysis of SARS-CoV-2 Variant Importation — China, January–June 2022

Introduction The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant is the dominant circulating strain worldwide. To assess the importation of SARS-CoV-2 variants in the mainland of China during the Omicron epidemic, the genomic surveillance data of SARS-CoV-2 from imported coronavirus disease 2019 (COVID-19) cases in the mainland of China during the first half of 2022 were analyzed. Methods Sequences submitted from January to July 2022, with a collection date before June 30, 2022, were incorporated. The proportions of SARS-CoV-2 variants as well as the relationships between the origin and destination of each Omicron imported case were analyzed. Results 4,946 sequences of imported cases were submitted from 27 provincial-level administrative divisions (PLADs), and the median submission interval was within 1 month after collection. In 3,851 Omicron sequences with good quality, 1 recombinant (XU) and 4 subvariants under monitoring (BA.4, BA.5, BA.2.12.1, and BA.2.13) were recorded, and 3 of them (BA.4, BA.5, and BA.2.12.1) caused local transmissions in the mainland of China later than that recorded in the surveillance. Omicron subvariants dominated in the first half of 2022 and shifted from BA.1 to BA.2 then to BA.4 and BA.5. The percentage of BA.2 in the imported SARS-CoV-2 surveillance data was far higher than that in the Global Initiative on Sharing All Influenza Data (GISAID). The imported cases from Hong Kong Special Administrative Region, China, accounted for 32.30% of Omicron cases sampled, and 98.71% of them were BA.2. Conclusions The Omicron variant showed the intra-Omicron evolution in the first half of 2022, and all of the Omicron subvariants were introduced into the mainland of China multiple times from multiple different locations.
Dynamic Fluid-Structure Interaction Analysis Using Boundary Finite Element Method–Finite Element Method

In this paper, the boundary finite element method (BFEM) is applied to dynamic fluid-structure interaction problems. The BFEM is employed to model the infinite fluid medium, while the structure is modeled by the finite element method (FEM). The relationship between the fluid pressure and the fluid velocity corresponding to the scattered wave is derived from the acoustic modeling. The BFEM is suitable for both finite and infinite domains, and it has advantages over other numerical methods. The resulting system of equations is symmetric and has no singularity problems. Two numerical examples are presented to validate the accuracy and efficiency of BFEM-FEM coupling for fluid-structure interaction problems.
Difference-frequency laser spectroscopy of molecular ions with a hollow-cathode cell: extended analysis of the ν 1 band of H 2 D +

A cooled hollow-cathode cell was used for observation of the infrared spectra of positive ions in the 3-μm region with a difference-frequency laser as a radiation source. About an order-of-magnitude enhancement of the signal intensity was attained, compared with the similar signals obtained with our previous glow-discharge cell. Ten more weaker lines of the ν1 fundamental band of H2D+, which could not be observed in our previous experiment [ J. Chem. Phys.81, 2869 ( 1984)] were measured. Improved molecular constants were obtained from a least-squares fit including the infrared lines and the two millimeter- and submillimeter-wave lines in the ground state.
Influence of Data Balancing on Transformer DGA Fault Classification With Machine Learning Algorithms

The application of artificial intelligence algorithms for transformer incipient fault classification using dissolved gas analysis (DGA) is an interesting engineering approach. However, there are various factors that affect the performance of artificial intelligence algorithms. This article presents the influence of the data balancing approach on transformer DGA fault classification with the machine learning (ML) approach. In this work, a total of 4580 DGA samples from in-service transformers are considered for training various ML models. The main challenge for the DGA problem lies in the availability of the normal degradation transformer data and its uniformity corresponding to different faults is almost impossible. This is because DGA is not an exact science, but an empirical approach subjects to variability. Thus, it is a usual practice to apply data sampling techniques that largely influence the efficiency of the algorithms. The present work reports the impact of the data balancing schemes on the performance of the fault classification and demonstrates that a careful choice of the data sampling method and ML algorithm is essential for DGA problems. To demonstrate the global scale ability of the propose model, the model is tested on the IEC TC ten data (field inspection data), while these data are not exposed to the machine during the learning stage. The ability of the ADASYN method in significant enhancement of the global scale capability of AI-based transformer DGA fault classification is reported. This approach will be helpful for condition monitoring engineers in transformer insulation diagnosis in implementing the monitoring modules for large transformer fleets and understanding the insulation oil behavior over years.
Dual vocational education and training and policy transfer in the European Union policy: the case of work-based learning and apprenticeships

Abstract In the search for solutions to national skill formation challenges, the central and northern Europeans models of good practices in dual vocational education and training (VET) permeated the imaginary of the southern countries. Particularly, the German dual VET system has been predominant in the discourse of policy-makers. This research analyses the role played by the European Union (EU) in the promotion of this model as the reference for the reforming Member States during the policy transfer stage of cross-national attraction. This paper develops a reflexive Thematic Analysis among the fundamental documentation related to VET resulting from the EU Governance Triangle. Its aim is to interpret the EU proposal for the reform of VET, with a focus on the characteristics which shape the way in which the training is developed. This Thematic Analysis reveals that the EU promotes a VET training model based in work-based learning as a pillar, preferably articulated in the form of apprenticeships. This, along with the general principles for the regulation of apprenticeships promoted by the EU, proves the agency role exercised by the EU in the dissemination of dual VET as a model of good practice.
Subjective Perception of Work and the Home Care Workers’ Depression

The care crisis has become a global trend, and the demand for child and elderly care is increasing worldwide. The increasing number of home care workers plays a significant role in meeting this demand in developing countries. The mental health of these workers is associated with the quality of care they provide, which has rarely been studied. This paper explored the factors that affect home care workers’ depression, including their socio-demographic characteristics, working environment, relationship with clients, social support networks, economic burden, and subjective perceptions of discrimination and work. It utilized data from the Shanghai Domestic-work Professionalization Survey (SDPS), which was conducted among four types of in-home caregivers (n = 1000) in Shanghai over a period ranging from May to September 2021. The results show that the variables of marriage, education, self-reported health, relationship with client, economic burden, and subjective perceptions of discrimination and care work are significantly associated with home care workers’ level of depression. However, the variables of gender, age, household registration, and work environmental factors have no significant effect on their level of depression, which differs from the findings of previous studies on care workers in other institutions.
On the multiplicity of the maximum in a discrete random sample

Let Mn be the maximum of a sample X1,. ,X n from a discrete distribution and let Wn be the number of i's, 1 ≤ i ≤ n, such that Xi=Mn. We discuss the asymptotic behavior of the distribution of Wn as n → ∞. The probability that the maximum is unique is of interest in diverse problems, for example, in connection with an algorithm for selecting a winner, and has been studied by several authors using mainly analytic tools. We present here an approach based on the Sukhatme-Renyi representation of exponential order statistics, which gives, as we think, a new insight into the problem.
Demonstration of the ultrafast nature of laser produced betatron radiation

This Letter aims to demonstrate the ultrafast nature of laser produced betatron radiation and its potential for application experiments. An upper estimate of the betatron x-ray pulse duration has been obtained by performing a time-resolved x-ray diffraction experiment: The ultrafast nonthermal melting of a semiconductor crystal (InSb) has been used to trigger the betatron x-ray beam diffracted from the surface. An x-ray pulse duration of less than 1ps at full width half-maximum (FWHM) has been measured with a best fit obtained for 100fs FWHM.
Prevalence of and sociodemographic factors associated with antenatal depression among women in Limpopo Province, South Africa

Background. Pregnancy-related depression is a common psychiatric disorder and a major public health concern in both developed and developing countries, but the disorder receives little attention and few resources, particularly in developing countries.Objectives. To assess the prevalence of antenatal depression and its sociodemographic risk factors among pregnant women in Limpopo Province, South Africa.Methods. This was a cross-sectional descriptive study conducted in a district hospital from 8 March to 12 April 2021. Consecutive women attending antenatal care services during the data collection period were included in the study. The Edinburgh Postnatal Depression Scale was used to assess depression symptoms.Results. The prevalence of antenatal depression was 31% (95% confidence interval 26.1 - 36.3). Being unmarried, being a smoker, being without financial support from a partner, having a violent partner and having a less-educated partner were significant predictors of antenatal depression in these women.Conclusion. Nearly one-third of the pregnant women in our study had depressive symptoms. The important predictors of antenataldepression included being unmarried, smoking, lack of financial support from a partner, intimate partner violence and having a lesseducated partner. These findings may help healthcare workers to identify women at risk early, so that support can be offered during pregnancy and childbirth.
Refractive x-ray lenses

Parabolic refractive x-ray lenses are novel optical components for the hard x-ray range from about 5 keV to about 120 keV. They are compact, robust, and easy to align and to operate. They can be used like glass lenses are used for visible light, the main difference being that the numerical aperture is much smaller than 1 (of the order of 10−4–10−3). They have been developed at Aachen University and are made of beryllium, boron, aluminium and silicon. Their main applications are in micro- and nanofocusing, in imaging by absorption and phase contrast. In combination with tomography they allow for three-dimensional imaging of opaque media with sub-micrometre resolution. Finally, they can be used in speckle spectroscopy by means of coherent x-ray scattering. References to a number of applications are given.
Revisiting EKC hypothesis in context of renewable energy, human development and moderating role of technological innovations in E-7 countries?

The present study examines the potential of the traditional environmental Kuznets curve (EKC) with an extension for growing industrialized economies, including Brazil, China, India, Indonesia, Russia, Mexico and Turkey (E-7 economies) spanning from 1995 to 2019. Since the E-7 economies are still in a growing phase, this study adds to the EKC phenomenon by taking into description human development, the use of renewable energy, and technological innovations for investigation. Second-generational panel econometrics techniques, such as cross-sectional augmented autoregressive distributive lag (CS-ARDL), Augmented Mean Group (AMG), and Dumitrescu-Hurlin causality tests, form the basis of the experimental framework’s design. The study confirms the existence of the EKC phenomena in E-7 economies, where income expansion is prioritized in relation to environmental sustainability. The study’s findings demonstrate that technological modernization helps to mitigate pollution level. Therefore, human development, technological innovation, and the use of renewable energy are held up as the panacea for reducing carbon emissions over the time period under study. Finally, some further policy suggestions are provided.
Detection of coffee fruits on tree branches using computer vision

: Coffee farmers do not have efficient tools to have sufficient and reliable information on the maturation stage of coffee fruits before harvest. In this study, we propose a computer vision system to detect and classify the Coffea arabica (L.) on tree branches in three classes: unripe (green), ripe (cherry), and overripe (dry). Based on deep learning algorithms, the computer vision model YOLO (You Only Look Once), was trained on 387 images taken from coffee branches using a smartphone. The YOLOv3 and YOLOv4, and their smaller versions (tiny), were assessed for fruit detection. The YOLOv4 and YOLOv4-tiny showed better performance when compared to YOLOv3, especially when smaller network sizes are considered. The mean average precision (mAP) for a network size of 800 × 800 pixels was equal to 81 %, 79 %, 78 %, and 77 % for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny, respectively. Despite the similar performance, the YOLOv4 feature extractor was more robust when images had greater object densities and for the detection of unripe fruits, which are generally more difficult to detect due to the color similarity to leaves in the background, partial occlusion by leaves and fruits, and lighting effects. This study shows the potential of computer vision systems based on deep learning to guide the decision-making of coffee farmers in more objective ways.
Optical field distribution in close-confined laser structures

An experimental and theoretical study has been made of the radiation patterns from GaAs lasers with a "close-confined" structure. The lasers were grown by liquid-phase epitaxy and consisted of a p+ - p-n structure with Al in the p+ region. Photometric measurements were made of the intensity distribution at the emitting facet (microscope observations) and the radiation pattern in a plane perpendicular to the junction. The electromagnetic field distribution in the vicinity of the p-n junction and the radiation pattern were calculated by solving the wave equation for a three-layer structure with complex dielectric constants in each layer. The theory predicts enhanced confinement of the radiation by the increased dielectric discontinuity due to the heterojunction, in agreement with the low lasing threshold and high efficiencies of the close-confined diodes. Another consequence of the theory is that as the thickness d of the p region of the cavity is increased, higher order modes can propagate with efficiences much greater than in ordinary lasers without the heterojunction. The third mode, corresponding to three intensity maxima along a line perpendicular to the junction, was observed for d = 5 \mu . The good agreement found between the observed and calculated radiation patterns indicates that confinement of the radiation by dielectric discontinuities is an important factor in explaining the low-threshold currents found in close-confined lasers.
Defect reduction in silicon nanoparticles by low-temperature vacuum annealing

Using electron paramagnetic resonance, we find that vacuum annealing at 200 °C leads to a significant reduction in the silicon dangling bond (Si-db) defect density in silicon nanoparticles (Si-NPs). The best improvement of the Si-db density by a factor of 10 is obtained when the vacuum annealing is combined with an etching step in hydrofluoric acid (HF), whereas HF etching alone only removes the Si-dbs at the Si/SiO2 interface. The reduction in the Si-db defect density is confirmed by photothermal deflection spectroscopy and photoconductivity measurements on thin Si-NPs films.