Miracle-dz/UniFAR-FTUs huggingface dataset:
Publications of the Astronomical Society of the Pacific 106: 843-857, 1994 August LMC Stellar X-ray Sources Observed With ROS AT: I. X-ray Data and Search For Optical Counterparts

Observations of Einstein LMC X-ray point sources have been made with ROS AT s High-Resolution Imager to obtain accurate positions from which to search for optical counterparts. This paper is the first in a series reporting results of the ROS AT observations and subsequent optical observations. It includes the X-ray positions and fluxes, information about variability, optical finding charts for each source, a list of identified counterparts, and information about candidates which have been observed spectroscopically in each of the fields. Sixteen point sources were measured at a >3cr level, while 15 other sources were either extended or less significant detections. About 50% of the sources are serendipitous detections (not found in previous surveys). More than half of the X-ray sources are variable. Sixteen of the sources have been optically identified or confirmed: six with foreground cool stars, four with Seyfert galaxies, two with SNR in the LMC, and four with peculiar hot LMC stars. Presumably the latter are all binaries, although only one (CAL 83) has been previously studied in detail.
Ferroelectric and electromechanical properties of poly(vinylidene-fluoride–trifluoroethylene–chlorotrifluoroethylene) terpolymer

This letter reports the ferroelectric and electromechanical properties of a class of ferroelectric polymer, poly(vinylidene-fluoride–trifluoroethylene–chlorotrifluoroethylene) terpolymer, which exhibits a slim polarizationhysteresis loop and a high electrostrictive strain at room temperature. The dielectric and polarization behaviors of this terpolymer are typical of the ferroelectric relaxor. The x-ray and Fourier transform infrared results reveal that the random incorporation of bulky chlorotrifluoroethylene (CTFE) ter-monomers into polymer chains causes disordering of the ferroelectric phase. Furthermore, CTFE also acts as random defect fields which randomize the inter- and intrachain polar coupling, resulting in the observed ferroelectric relaxor behavior.
Organizational leisure benefits: a neglected signaling device in hospitality job advertisements?

Abstract With employees’ leisure pursuit increasing, this study assesses the potential of organizational leisure benefits in hospitality job advertisements as a signal for otherwise non-observable attributes, like organizational leisure support and staff appreciation. Drawing upon signaling theory, a fictional job advertisement was created. A total of 210 job seekers were randomly assigned to different treatment versions. Higher perceptions of organizational attractiveness and increased intentions to apply were observed for versions including leisure benefits, confirming their role as a signaling device in the applicant attraction stage. The findings encourage human resource managers to exploit leisure benefits better to attract the brightest talent.
Dynamics of an Internal Flowfield Driven by Two Hydrodynamic Instabilities

Hydrodynamic instabilities in a confined flow generated by air injection through porous walls separated by an emerging obstacle are experimentally characterized. Two different mechanisms of instabilities have been detected: a vortex shedding phenomenon back to the obstacle location and one developing along the porous wall. The latter was found to provide most of the acoustic energy. Influence of an unbalanced mass flow rate between each side of the obstacle has been carried out over a wide range of mean velocities; an increase of the mass flow rate injected downstream of the obstacle implies resonance amplification by wall vortex shedding that strengthens the instabilities in the chamber. On the other hand, an increase in the mass flow rate upstream from the obstacle location favors vortex pairing and self-sustained oscillations, whereas acoustic wave generation by wall vortex impingement is weakened
Acoustically augmented diffusional transport

The present work considers enhancement of mass transport resulting from superimposing an ultrasonically induced convective transport on a diffusional transport. As a result of the nonlinearities in the Navier‐Stokes equation, a time‐dependent secondary flow called acoustic streaming can be produced when an acoustic wave is passed through a medium. Between adjacent vortices or cells, molecular diffusion is the only means of transport; however, within each cell, mass transport is primarily by convection. Increases in the rate of mass transfer of the order of 150% above the normal diffusional flux were found. The theoretical analysis and results presented have application to systems in which ultrasonics may be used to increase mass transfer through membranes (e.g., dialysis), and to increase the efficiency of very active catalytic systems and of solid‐liquid extraction systems.
Development of automatic opening and closing shelf for convenience stores in cooperation with collaborative robot

ABSTRACT In recent years, there have been many attempts to automate convenience stores with robots, including competitions such as the World Robot Summit, but there are still many technical hurdles to the practical application of robots on their own. To solve this problem, Kanazawa Institute of Technology and Sankyo Tateyama, Inc. TateyamaAdvance-Company, Ltd. have jointly developed an automatic opening and closing shelf that works with a cooperative robot for the display and disposal of products in convenience stores. The automatic opening and closing shelves can be remotely operated by a robot and perform cooperative display task with the robot. We experimentally verified the usefulness of the system as infrastructure to work with robots. The results confirmed the usefulness of the automatic opening and closing of shelves for automating convenience stores with robots and clarified the technical requirements for the next generation of sliding shelves. GRAPHICAL ABSTRACT
Effects of the implementation of the inflation targeting regime on economic growth

This research study is focused on the examination of the influence of the introduction and implementation of the monetary Inflation Targeting (IT) regime: the level of the inflation rate and the Gross Domestic Product (GDP) growth rate, as well as inflation and the GDP volatility. Conditional variance is calculated by fitting an empirical Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model to an annualized quarterly date for the period from 1993Q1 to 2020Q3, all in order to assess volatility. The results of the regression model showed that there was a positive statistical significance between the instability of inflation and the instability of the growth rate of the GDP in the three analyzed countries (namely in Albania, Turkey and the Republic of Serbia). The result of introducing the IT regime when the GDP growth rate volatility is concerned is statistically significant in Serbia and Turkey and led to reduction in the GDP volatility and stabilization. However, the applied regression model indicated that, in the case of Albania and Romania, the introduction of the IT regime did not have a statistically significant impact on the GDP growth rate volatility.
Subnanometer surface roughness of dc magnetron sputtered Al films

The surface roughness of dc magnetron sputtered Al films has been characterized as a function of (a) substrate deposition temperature from 54 to 223 °C, (b) argon sputtering pressure from 1.0 to 9.0 mTorr, and (c) dc magnetron power from 140 to 3590 W corresponding to (d) deposition rates ranging from 0.28 to 7.7 nm/s. The surface roughness of Al films ranging in thickness from 440 to 650 nm has been analyzed by use of atomic force microscopy. Over the entire range of deposition conditions, the mean surface roughness varies from as large as 99.6 nm to as small as 0.58 nm. The films range in visual appearance from “milky” to completely specular to the unaided eye under high-intensity normally incident white-light illumination. Optimization of sputtering conditions resulted in the deposition of very smooth 460 nm thick films with mean surface roughness of 0.58 nm for a deposition temperature of 57 °C, 1.0 mTorr argon sputtering pressure, and 3590 W dc magnetron power. The results reported here represent som.
Virtual optical interfaces for transportation

Today, the ever increasing number of controls in automobile and aviation cockpits leads to the cluttering of various interfaces (keyboards, switches, panels, etc.). LCD touch screens have proved to be a good alternative to reduce cluttering by reconfiguring in real time different interfaces, appearing on demand as they are needed by the user. However, the underlying screen still remains cumbersome and fragile glass device. We present a novel way to produce virtual consoles and interfaces by projecting diffractive images and sensing the position of the fingers by the use of IR diffractive optics.
Persian Named Entity Recognition by Gray Wolf Optimization Algorithm

Named entity recognition (NER) is a subfield of natural language processing (NLP). It is able to identify proper nouns, such as person names, locations, and organizations, and has been widely used in various tasks. NER can be practical in extracting information from social media data. However, the unstructured and noisy nature of social media (such as grammatical errors and typos) causes new challenges for NER, especially for low-resource languages such as Persian, and existing NER methods mainly focus on formal texts and English social media. To overcome this challenge, we consider Persian NER as an optimization problem and use the binary Gray Wolf Optimization (GWO) algorithm to segment posts into small possible phrases of named entities. Later, named entities are recognized based on their score. Also, we prove that even human opinion can differ in the NER task and compare our method with other systems with the S e p _ T D _ T e l 01 dataset and the results show that our proposed system obtains a higher F1 score in comparison with other methods.
The Electric Circuit as a System: A New Approach

Summaries English In this new approach to the presentation of the electric circuit, the three fundamental terms current, voltage, and resistance are introduced simultaneously in a qualitative way, using the system aspect of the electric circuit as an integrative base. The starting point to this is the individual knowledge and the conceptional schemes that students bring into the classroom. This approach is in contrast to the traditional one, where the single terms are introduced in a linear sequence, according to the structure of the discipline and based on measurement operations.
Three‐layered organic solar cell with a photoactive interlayer of codeposited pigments

Three‐layered organic solar cell with an interlayer of codeposited pigments of n‐type perylene tetracarboxylic derivative (Me‐PTC) and p‐type metal‐free phthalocyanine (H2Pc) in between the respective pigment layers, was fabricated. Two times larger photocurrent compared to the double‐layered cell without an interlayer was obtained due to the efficient carrier photogeneration in a codeposited layer. The power conversion efficiency reached 0.7% under the intense white light of 100 mW cm−2.
Classificação Automática de Estilos de Videoaulas

Muito tem sido feito para investigar os efeitos dos estilos das videoaulas no envolvimento do aluno e no resultado de aprendizagem. Porém, poucos estudos buscaram classificar automaticamente esses estilos. Assim, o estudo atual utilizou características visuais dos estilos das videoaulas (presença de pessoas e textos) e diferentes classificadores para a avaliação do método de classificação proposto. Essa classificação automática poderá ser utilizada por sistemas de recomendação para sugestão de estilos mais aderentes a preferências dos alunos e ao resultado de aprendizagem pretendido. Os experimentos realizados mostraram que o método de classificação utilizado é adequado ao problema, atingindo valores de até 92% de acurácia.
Diffraction of phase mask with stitching errors in fabrication of fiber Bragg gratings

The phase mask is a diffractive optical element that is widely used for fabricating the fiber Bragg gratings (FBGs) for telecom and sensing applications. We analyze the near field diffraction of the phase mask with periodic phase-shift errors, e.g., stitching errors. Our analysis shows that the stitching errors generate sidelobe peaks beside the main diffraction orders of the phase mask. Experiments in the far-field diffraction prove the analysis results, so that we can estimate the e-beam writing field size by the far-field diffraction. We obtain the diffraction near field distribution using the Talbot formula, which explains, for the first time at our best knowledge, how the stitching errors are transferred into the FBG with the same periodicity during the side-writing process. We find out that the noise energy in the near field varies with the phase mask to fiber spacing. An optimal spacing can be found and used in order to reduce the stitching error related sidelobes in the FBG spectrum.
Nitrogen, a major impurity in common type I diamond

Common type I diamonds (as classified by Robertson et al.) have additional absorption in the infrared and ultraviolet. It is shown that the strongest absorption band in the infrared at 7.8 \ensuremath{\mu} and the ultraviolet absorption at 3065 A are proportional to the nitrogen concentration of the crystal. A corresponding increase in lattice constant is found to be as high as 0.01% for a nitrogen content of 0.2%. Concentration, X-ray, and density data suggest that nitrogen occupies a substitutional position in the diamond lattice. The infrared absorption bands at 7.8, 8.3, 9.1, and 20.8 \ensuremath{\mu} are considered to be C-N molecular vibrations. Several optical, electrical, and thermal properties of diamond are discussed in view of our findings.
Thermophilic archaeon orchestrates temporal expression of GDGT ring synthases in response to temperature and acidity stress.

Glycerol dibiphytanyl glycerol tetraethers (GDGTs) are unique archaeal membrane-spanning lipids with 0-8 cyclopentane rings on the biphytanyl chains. The cyclization pattern of GDGTs is affected by many environmental factors, such as temperature and pH, but the underlying molecular mechanism remains elusive. Here, we find that the expression regulation of GDGT ring synthase genes grsA and grsB in thermophilic archaeon Sulfolobus acidocaldarius is temperature- and pH-dependent. Moreover, the presence of functional GrsA protein, or more likely its products cyclic GDGTs rather than the accumulation of GrsA protein itself, is required to induce grsB expression, resulting in temporal regulation of grsA and grsB expression. Our findings establish a molecular model of GDGT cyclization regulated by environment factors in a thermophilic ecosystem, which could be also relevant to that in mesophilic marine archaea. Our study will help better understand the biological basis for GDGT-based paleoclimate proxies. Archaea inhabit a wide range of terrestrial and marine environments. In response to environment fluctuations, archaea modulate their unique membrane GDGTs lipid composition with different strategies, in particular GDGTs cyclization significantly alters membrane permeability. However, the regulation details of archaeal GDGTs cyclization in response to different environmental factor changes remain unknown. We demonstrated, for the first time, thermophilic archaea orchestrate the temporal expression of GDGT ring synthases, leading to delicate control of GDGTs cyclization to respond environmental temperature and acidity stress. Our study provides insight into the regulation of archaea membrane plasticity, and the survival strategy of archaea in fluctuating environments.
Synthetic opioids: a review and clinical update

The term ‘opioids’ refers to both the natural compounds (‘opiates’) which are extracted from the opium poppy plant (Papaver somniferum) and their semi-synthetic and synthetic derivatives. They all possess relatively similar biochemical profiles and interact with the opioid receptors within the human body to produce a wide range of physiological effects. They have historically been used for medicinal purposes, their analgesic and sedative effects, and in the management of chronic and severe pain. They have also been used for non-medicinal and recreational purposes to produce feelings of relaxation, euphoria and well-being. Over the last decade, the emergence of an illegal market in new synthetic opioids has become a major global public health issue, associated with a substantial increase in unintentional overdoses and drug-related deaths. Synthetic opioids include fentanyl, its analogues and emerging non-fentanyl opioids. Their popularity relates to changes in criminal markets, pricing, potency, availability compared to classic opioids, ease of transport and use, rapid effect and lack of detection by conventional testing technologies. This article expands on our previous review on new psychoactive substances. We now provide a more in-depth review on synthetic opioids and explore the current challenges faced by people who use drugs, healthcare professionals, and global public health systems.
FACIAL EMOTION DETECTION OF THERMAL AND DIGITAL IMAGES BASED ON MACHINE LEARNING TECHNIQUES

The aim of the study is (i) to determine temperature distribution for various emotions from the facial thermal images; (ii) to extract statistical features from the facial region using GLCM feature extraction technique and to classify the emotions using machine learning classifiers such as SVM and Naïve Bayes; (iii) to develop the custom CNN model for the classification of various emotions and compare its performance with machine learning classifiers. Fifty normal subjects were considered for the study to analyze the facial emotions using thermal and digital images. The four different emotions, such as happy, angry, neutral and sad, were obtained with a total image of 200 thermal and 200 digital images. Ten statistical features were extracted using the GLCM method from both thermal and digital images and fed into the machine learning classifiers. After data augmentation, the images are fed into the custom CNN model for the classification of various emotions. The SVM classifier produced an accuracy of 80% in thermal images and 76.5% in digital images compared to the Naive Bayes classifier. The developed CNN model improved the classification accuracy to 94.3% and 90.3% for thermal and digital image, respectively, for the multi-class classification of facial emotions. The CNN model implemented using thermal images provided better classification accuracy than digital images in facial emotion recognition. Hence, it was proved that thermal imaging techniques resulted in better performance in predicting facial emotion than digital images.
Identification of unfalsified plant model sets based on low-correlated bounded noise model

We propose a new model set identification method for robust control, which determines both nominal models and uncertainty bounds in frequency-domain using periodgrams obtained from experimental data. This method also gives less conservative model sets when we have more experimental data, which is one of the distinguished features compared with the existing model set identification methods. We construct a new noise model set in terms of periodgrams, which consists of hard-bounded (or deterministic) noises but takes into account of a low correlation property of noise signals, simultaneously. Then, based on the noise model, we show how to compute the nominal models and the upper bounds of modeling error via convex optimization, which minimize the given cost functions. Numerical examples show the effectiveness of the proposed method.
Uma avaliação da relação entre o desempenho de jogadores e a atratividade de jogos educacionais

O uso de experimentos e atividades práticas são fundamentais para fixação de conceitos trabalhados em algumas disciplinas. Entretanto, tais práticas podem não ser viáveis no ambiente acadêmico. O uso de simuladores e jogos computacionais torna-se uma alternativa para estas situações. Um desafio é obter um compromisso entre a jogabilidade/entretenimento com o processo de mobilização dos conceitos teóricos. Uma abordagem comum é pela avaliação da pontuação obtida, mas fica um pouco limitada quando se trata de jogos com grande variedade de decisões. Um exemplo é a análise da estratégia utilizada durante o jogo. Usar a proveniência de dados em jogos educacionais parece ser uma alternativa. Neste artigo, apresentamos uma abordagem baseada na análise de proveniência para avaliar jogadas realizadas por alunos e agrupá-los conforme a estratégia utilizada, refletindo a mobilização dos conceitos abordados no jogo. Com base nesses grupos é feita uma análise da atratividade reportada pelos alunos. Uma avaliação experimental com alunos de ensino médio foi realizada em cima do jogo Control Harvest. Os resultados apontam uma correlação entre a atratividade percebida e o desempenho medido com a proveniência.
Combustion synthesis and analysis of visible-light-driven Ho-doped ZnO photocatalytic nanoparticles

ZnO nanoparticles with different Ho dopant were prepared by tartaric acid solution combustion method and followed by calcination at 600°C for 2 h. The XRD patterns of ZnO and Ho-doped ZnO samples were indexed to the pure phase of hexagonal wurtzite ZnO structure. TEM images of ZnO and Ho-doped ZnO showed that the samples were nanoparticles with different sizes. The particle size of sample was decreased with increasing in the weight content of Ho dopant. The XPS results certified that the Ho 3+ ions contained in ZnO lattice. The photocatalytic activity of the as-synthesized ZnO nanoparticles with different Ho contents was evaluated through the degradation of methylene blue (MB) as a dye pollutant under visible light irradiation. The photodegradation of MB in aqueous medium under visible light irradiation showed that the 3% Ho-doped ZnO nanoparticles have the highest photocatalytic activity in degrading of MB molecules because Ho 3+ ions played the role in trapping electrons, inhibiting the recombination charge carrier pairs and enhancing the photocatalytic performance of ZnO under visible light irradiation.
Continuous-Wave Operation of m-Plane InGaN Multiple Quantum Well Laser Diodes

Continuous-wave (CW) operation of nonpolar m-plane InGaN/GaN laser diodes (LDs) with the lasing wavelengths approximately 400 nm was demonstrated. The threshold current was 36 mA (4.0 kA/cm2) for the CW operation [28 mA (3.1 kA/cm2) for pulsed mode], being comparable to that of conventional c-plane violet LDs. Both the LDs with the stripes parallel to a- and c-axes showed TE mode operation, according to the polarization selection rules of the transitions in strained InGaN. The c-axis stripe LDs exhibited lower threshold current density, since the lowest energy transition is allowed. As is the case with the m-plane light emitting diodes fabricated on the free-standing m-plane GaN bulk crystals [Okamoto et al.: Jpn. J. Appl. Phys. 45 (2006) L1197], the LDs shown in this paper did not have distinct dislocations, stacking faults, or macroscopic cracks. Nonpolar m-plane GaN-based materials are coming into general use.