Miracle-dz/UniFAR-FTUs huggingface dataset:
Face Recognition via Multi-Level 3D-GAN Colorization

Rapid development in sketch-to-image translation methods boosts the investigation procedure in law enforcement agencies. But, the large modality gap between manually generated sketches makes this task challenging. Generative adversarial network (GAN) and encoder-decoder approach are usually incorporated to accomplish sketch-to-image generation with promising results. This paper targets the sketch-to-image translation with heterogeneous face angles and lighting effects using a multi-level conditional generative adversarial network. The proposed multi-level cGAN work in four different phases. Three independent cGANs’ networks are incorporated separately into each stage, followed by a CNN classifier. The Adam stochastic gradient descent mechanism was used for training with a learning rate of 0.0002 and momentum estimates $\beta $ and $\beta $ as 0.5 and 0.999, respectively. The multi-level 3D-convolutional architecture help to preserve spatial facial attributes and pixel-level details. The 3D convolution and deconvolution guide the G1, G2 and G3 to use additional features and attributes for encoding and decoding. This helps to preserve the direction, postures of targeted image attributes and special relationships among the whole image’s features. The proposed framework process the 3D-Convolution and 3D-Deconvolution using vectorization. This process takes the same time as 2D convolution but extracts more features and facial attributes. We used pre-trained ResNet-50, ResNet-101, and Mobile-Net to classify generated high-resolution images from sketches. We have also developed, and state-of-the-art Pakistani Politicians Face-sketch Dataset (PPFD) for experimental purposes. Result reveals that the proposed cGAN model’s framework outperforms with respect to Accuracy, Structural similarity index measure (SSIM), Signal to noise ratio (SNR), and Peak signal-to-noise ratio (PSNR).
The California Disability Survey: Design and Execution of a Computer-Assisted Telephone Study

This article discusses the study objectives and survey methods associated with the California Disability Survey (CDS), a large-scale telephone study of the California household population. The CDS project was designed to estimate the prevalence of disability and disabling conditions for the state as a whole and in a variety of smaller administrative areas, and to assess the service needs of the disabled and the degree to which they utilize existing forms of governmental assistance. The CDS project was also the first large-scale academic or governmental study to use the new survey methods associated with computer-assisted telephone interviewing (CATI). This article reviews the rationale for the general CDS design and its use of computer-assisted methods, and emphasizes those aspects of the CDS experience that may be relevant for other large-scale studies in the area of human services.
Low-Profile Automotive Antenna for Omnidirectional Vertical Polarized Signal Reception

Abstract A low-profile antenna is designed for a WiBro vertical polarized signal. The proposed antenna is packaged and installed on the roof of a vehicle. The low-profile configuration is inspired from a zero-phase constant that realizes a horizontal magnetic loop current distribution equivalent to a vertical electric current distribution. With the proposed antenna, a wide bandwidth is achieved by overcoming the narrow bandwidth characteristics of an antenna with a zero-phase constant. The antenna was designed using a large conductive plate to simulate the vehicle roof in the electromagnetic simulation, thereby dramatically reducing simulation time. The results are comparable to the experimental results of an antenna on a vehicle's roof. The unpackaged and packaged antennas' radiation patterns are first measured in an anechoic chamber. Azimuth patterns are measured by installing the packaged antenna on the vehicle's roof. Simulations agree with experimental data where the vertically polarized signal is successfully received with a reasonable gain and efficiency in a WiBro band.
Laser-driven generation of fast particles

The great progress in high-peak-power laser technology has resulted recently in the production of ps and subps laser pulses of PW powers and relativistic intensities (up to 1021 W/cm2) and has laid the basis for the construction of multi-PW lasers generating ultrarelativistic laser intensities (above 1023 W/cm2). The laser pulses of such extreme parameters make it possible to produce highly collimated beams of electrons or ions of MeV to GeV energies, of short time durations (down to subps) and of enormous currents and current densities, unattainable with conventional accelerators. Such particle beams have a potential to be applied in numerous fields of scientific research as well as in medicine and technology development. This paper is focused on laser-driven generation of fast ion beams and reviews recent progress in this field. The basic concepts and achievements in the generation of intense beams of protons, light ions, and multiply charged heavy ions are presented. Prospects for applications of laser-driven ion beams are briefly discussed.
Remotely sensing cloud properties from microwave radiometric observations by using a modeled cloud database

As a first step for remote sensing cloud properties, a database of cloud genera has been established. This is derived from a microphysical model, and it considers the statistical profiles of four hydrometeor species for each cloud genus. From this database the corresponding radiative database is obtained making use of a radiative transfer model, so for each cloud genus the simulated microwave response at the special sensor microwave imager channels is found. The cloud and radiative databases allow the retrieval of the genera of the cloud and other relevant properties from satellite observations. An automatic cloud genus classifier has also been implemented. Several tests have been carried out, and the results are presented.
Identification and classification of epileptic EEG signals using invertible constant-Q transform-based deep convolutional neural network

Context. Epilepsy is the most widespread disorder of the nervous system, affecting humans of all ages and races. The most common diagnostic test in epilepsy is the electroencephalography (EEG). Objective. In this paper, a novel automated deep learning approach based on integrating a pre-trained convolutional neural network (CNN) structure, called AlexNet, with the constant-Q non-stationary Gabor transform (CQ-NSGT) algorithm is proposed for classifying seizure versus seizure-free EEG records. Approach. The CQ-NSGT method is introduced to transform the input 1D EEG signal into 2D spectrogram which is sent to the AlexNet CNN model. The AlexNet architecture is utilized to capture the discriminating features of the 2D image corresponding to each EEG signal in order to distinguish seizure and non-seizure subjects using multi-layer perceptron algorithm. Main results. The robustness of the introduced CQ-NSGT technique in transforming the 1D EEG signals into 2D spectrograms is assessed by comparing its classification results with the continuous wavelet transform method, and the results elucidate the high performance of the CQ-NSGT technique. The suggested epileptic seizure classification framework is investigated with clinical EEG data acquired from the Bonn University database, and the experimental results reveal the superior performance of the proposed framework over other state-of-the-art approaches with an accuracy of 99.56%, sensitivity of 99.12%, specificity of 99.67%, and precision of 98.69%. Significance. This elucidates the importance of the proposed automated system in helping neurologists to accurately interpret and classify epileptic EEG records without necessitating tedious visual inspection or massive data analysis for long-term EEG signals.
Time-resolved photoluminescence lifetime measurements of the Γ5 and Γ6 free excitons in ZnO

Time-resolved photoluminescence spectroscopy at 2 K was used to measure the radiative recombination lifetime of the allowed (Γ5) and forbidden (Γ6) free excitons in ZnO. The measurements were made on a sample containing internal strain, which altered the sample symmetry, and resulted in relaxed selection rules, allowing the Γ6 exciton to be observed. A radiative recombination lifetime of 259 ps was measured for the Γ5 exciton and 245 ps for the Γ6 exciton. The decay of the free excitons was of single-exponential form, and the decay times were obtained using a least-squares fit of the data.
Act-belong-commit: Developing strategic plan of sustainable tourism village in Indonesia through NVivo qualitative analysis

Planning is essential in developing a sustainable tourism destination. Good planning will explain the direction, facilitate performance evaluation and minimize negative impacts. This study aims to explore the perspectives of the local community, tourism village developers, policymakers, and experts as a strategic basis for an agriculture-culturally based tourism village development plan. This qualitative research was conducted in 2019-2022, using a case study strategy and an abductive approach. Data were collected through repeated observations, in-depth interviews, a qualitative survey, and literature studies from scientific book, journals, and mass media (websites). Data analysis was carried out qualitatively using CAQDAS NVivo. The results of the study outline the priority strategies for short, medium, and long-term programs in the development of tourism in Cimande Village. This study contributes to other researchers regarding other vital components that must be considered in developing tourism in rural areas, especially those based on culture, namely the commitment and participation of the local community and the local customary system.JEL Classification A13; B55; D69
Robust Sports Ratings Based on Least Absolute Errors

Abstract Rating sports teams based on scores of previous games can be done by estimating the parameters of the standard linear model. Previously proposed estimates have been based on a modified version of least squares in which games with large victory margins were downweighted due to the sensitivity of least squares to outlying observations. This paper considers the least absolute value or L 1 estimate as an alternative method for rating teams. An advantage of L 1 is that it is intrinsically less sensitive to outlying observations, and hence automatically accounts for extreme outcomes. For the ratings version of the linear model it is shown that L 1 is the median of a team's normalized scores and least squares is the average. For teaching purposes the rating problem provides a nonstandard instance of the linear model that students find interesting. Students can tune the estimators to give recent games more weight, and they can compare L 1 to other regression quantiles. Because the estimators can be expre.
Gamma-Ray Deposition and Nonthermal Excitation in Supernovae

The γ-ray deposition in supernovae is calculated by solving the Spencer-Fano equation. Ionization, excitation, and heating rates are presented for the different chemical composition zones of a core collapse supernova, as well as for a solar composition applicable to for example, active galactic nuclei. The thermalization in pure helium, oxygen, and iron plasmas is also discussed. The latter is of particular interest for Type Ia supernovae. Convenient analytical expressions are given to facilitate the use of these results for the calculation of the physical conditions and emission from supernovae
Gejala dan komorbid yang memengaruhi mortalitas pasien positif COVID-19 di Jakarta Timur, Maret-September 2020

Penyakit oleh virus SARS-CoV2 yang menyerang sistem pernapasan telah menjadi pandemi sejak Februari 2020 dan di Indonesia sejak Maret 2020. Penting untuk mengidentifikasi faktor risiko yang meningkatkan risiko mortalitas dalam kasus ini. Studi analitik dengan desain kohort retrospektif dari data penelusuran epidemiologis oleh Dinas Kesehatan Provinsi DKI Jakarta di Jakarta Timur sejak bulan Maret - September 2020. Dari total data yang didapatkan (8393 sampel), terdapat 212 (2.53%) orang yang meninggal. Analisis data multivariat dengan regresi logistik menemukan bahwa jenis kelamin laki-laki meningkatkan RR mortalitas sebesar 2.15 (95% IK: 1.47-3.14), usia ? 60 tahun sebesar 4.49 (95% IK: 3.05-6.63), adanya gejala saluran pernapasan sebesar 2.17 (95% IK: 1.26-3.72), adanya gejala luar saluran pernapasan sebesar 2.47 (95% IK: 1.43-4.29), riwayat hipertensi sebesar 2.45 (95% IK: 1.46-4.10) dan riwayat gagal ginjal kronik sebesar 3.33 (95% IK: 1.27 - 8.68). Dari hasil studi ini dapat disimpulkan bahwa jenis kelamin, usia, gejala saluran pernapasan, gejala luar saluran pernapasan, riwayat hipertensi dan gagal ginjal kronik meningkatkan risiko mortalitas pasien positif COVID-19 di Jakarta Timur.
Diffusion coefficient of three-dimensional Yukawa liquids

The purpose of this work is an investigation of the diffusion coefficient of the dust component in complex plasma. The computer simulation of the Yukawa liquids was made on the basis of the Langevin equation, which takes into account the influence of buffer plasma on the dust particles dynamics. The Green–Kubo relation was used to calculate the diffusion coefficient. Calculations of the diffusion coefficient for a wide range of the system parameters were performed. Using obtained numerical data, we constructed the interpolation formula for the diffusion coefficient. We also show that the interpolation formula correctly describes experimental data obtained under microgravity conditions.
Small-scale structure of the Taurus molecular clouds Turbulence in Heiles' Cloud 2

Previously developed statistical tools are used to study the behavior of turbulence in Heiles' Cloud 2. It is demonstrated that gas motions in this cloud are turbulent, constituting well over one-half the kinetic energy density in this source. These motions exhibit a high degree of projected isotropy, suggesting that they are fully isotropic in three dimensions as well. The correlation length of the turbulence is about 0.1 pc, and the coherence characteristics of the velocity field are reminiscent of shear-layer turbulent flows. The dependence of mean turbulent stress on region size is estimated, and higher order effects are found necessary to permit gravitational collapse on selected size scales. Some energetic properties of turbulence in Cloud 2 are briefly considered. 32 references.
Monte Carlo Simulation of the Two-Dimensional Site Percolation Problem for Designing Sensitive and Quantitatively Analyzable Field-Effect Transistors

To investigate the effect of charged substances on the properties of ion-sensitive field-effect transistors (ISFETs), the site percolation property of a finite-size two-dimensional square-lattice system was analyzed by Monte Carlo simulation. We found that the variation in the aspect ratio (width/length) of the channel leads to two important features: the sensitivity of the ISFET is enhanced with a decrease in width and/or an increase in length; however, ISFET having a rather wide and/or short channel produces the best performance in quantitative analysis. The results of this study would be applicable to the design of an ultrasensitive and quantitatively analyzable ISFET.
Confidence intervals for maximal reliability in tau‐equivalent models

Subjective probabilities play an important role in marketing research, for example where individuals rate the likelihood that they will purchase a new developed product. The tau‐equivalent model can describe the joint behaviour of multiple test items measuring the same subjective probability. In this paper we stress the use of confidence intervals to assess reliability, as this allows for a more critical assessment of the items as measurement instruments. To improve the reliability one can use a weighted sum as the outcome of the test rather than an unweighted sum. In principle, the weights may be chosen so as to obtain maximal reliability. We propose two new confidence intervals for the maximal reliability in the tau‐equivalent model and we compare these two new intervals with intervals derived earlier in Yuan and Bentler (Psychometrika, 67, 2002, 251) and Raykov and Penev (Multivariate Behavioral Research, 41, 2006, 15). The comparison involves coverage curves, a methodology that is new in the field of reliability. The existing Yuan–Bentler and Raykov–Penev intervals are shown to overestimate the maximal reliability, whereas one of our proposed intervals, the stable interval, performs very well. This stable interval hardly shows any bias, and has a coverage for the true value which is approximately equal to the confidence level.
Analysis of Runways Surface Conditions Using Pavement Condition Index Method (Case Study: I Gusti Ngurah Rai International Airports)

The growth of aircraft and passenger movements every year requires the runway pavement structure to go above and beyond to accept dynamic loads caused by each type of operating aircraft. As a result of the significant growth value, it often causes the runway pavement structure to fail prematurely. Early failure of the runway pavement structure can be detected through the distress on the asphalt surface of the runway's flexible pavement. In this study, an analysis was carried out on the surface runway at I Gusti Ngurah Rai International Airport to determine the value of the runway pavement condition due to the soaring movement of aircraft and passengers at I Gusti Ngurah Rai situation in Indonesia. To obtain the value of the runway pavement conditions at I Gusti Ngurah Rai International Airport, it was analyzed using the Pavement Condition Index (PCI) method by conducting a visual inspection of the runway at I Gusti Ngurah Rai International Airport, which is divided into 30 segments with an area of each segment is about 4000 m2. The result of the analysis using the Pavement Condition Index (PCI) method is obtained that the runway at I Gusti Ngurah Rai International Airport has an average PCI value of 86.83, which is included in the very good category, the runway at I Gusti Ngurah Rai International Airport is considered to have disintegration and loss of skid resistance, with the most dominant types of damage in the form of patching, jet blast erosion, and bleeding.
LOS and NLOS channel models for indoor 220-330GHz communications based on ray tracing

6G wireless communication technology is expected to provide a higher peak data rate, lower latency, high mobile speed, high spectral efficiency, and high network energy efficiency in the future. It has the advantages of wide coverage, high security, and low-cost efficiency. As one of the candidate frequency bands of 6G technology, THz wave (0.1-10 THz) bridges the infrared band and the microwave band and has a very important application prospect in the communication process. Due to the terahertz source power and the absorption of various particles in the air, indoor short-range terahertz wireless communication has practical research value. In this paper, for the three-dimensional scene of common indoor conference rooms, the ray tracing method is used to model the terahertz channel of the line-of-sight (LOS) path, the primary reflection path, and the secondary reflection path. The carrier frequency range used for the simulation is 220-330 GHz. By calculating the power loss and required time of each path from the transmitter to the receiver, parameters such as the power delay profile are obtained. Then, the related terahertz channel parameters such as Rician K-factor and root mean square (RMS) delay spread are analyzed.
Optical Fiber DNA Biosensor With Temperature Monitoring Based on Double Microcavities Fabry–Perot Interference and Vernier Combined Effect

This article introduces a label-free DNA sensor based on the double microcavities Fabry–Perot (FP) interference and Vernier effect. The sensor can simultaneously monitor the temperature to avoid interference with the process of measuring DNA. The biosensor is composed of two open microcavities made of C-type optical fiber. One of the microcavities will is functionalized by the probe DNA (pDNA) to hybridize with complementary DNA (cDNA). And the other microcavity is filled with PDMS to realize temperature sensitivity. At the same time, the two cavities will form a Vernier effect, which is sensitive to both temperature and DNA. It is proven by experiments that the temperature sensitivity and refractive index (RI) sensitivity of the sensor are −2.79 nm/°C and −7122.63 nm/RIU, respectively. The proposed sensor has good specificity. cDNA sequence can bind well to given targets but hardly bind to noncomplementary DNA (non-cDNA) sequences. Moreover, the sensor offers some other benefits of high sensitivity, dual-parameter detection, real-time response, and simple fabrication. This is of great significance to solve the problem of the temperature sensitivity of biosensors.
Implications of Design Thinking in an EFL Classroom: Writing in Context

Writing has been considered as one of the most creative discrete skills teaching and English as a Foreign Language (EFL) practitioners always regard it as a challenge. Many scholars explored EFL students’ writing problems through qualitative and quantitative studies and offered suggestions and recommendations to address the issues. However, they reserved their conclusions with a revisit on the efficacy of the desired results. This research, in a one group pre/post quasi experimental research context, suggests design thinking’s five-step strategy: Empathize, Define, Ideate, Prototype, and Test, a relatively less experimented approach, to enhance EFL students’ writing performance with special emphasis on Capitalization, Punctuation, Spelling, Word-order, Tense, and Sentence-structure. The study sample consisted of 25 preparatory year students at Najran University who were taught paragraph writing using a five-step strategy based on the design thinking. The pre/post tests were conducted by the researchers to assess students’ writing performance before and after the experiment. Dependent samples t-test produced a significant difference in the results in favor of the post test. It is concluded that the design thinking’s five-step strategy had dramatically enhanced EFL student’ writing performance. Implications through further studies of design thinking are proposed to address other EFL teaching and learning issues.
Dense Cores in the Orion Molecular Cloud

We have used the Heinrich Hertz submillimeter telescope to measure the J = 3-2 and J = 2-1 lines of 12C16O and 12C18O, and the J = 3-2 line of 13C16O toward 125 high-density cores in the prominent S-shaped feature in L1640. We have also measured the (J,K) = (1,1) and (2,2) inversion transitions of NH3 from these sources. These results have been used to determine kinetic temperatures, H2 densities, and column densities. Estimates of the stability of these cores are made. Comparisons are also made with other nearby star formation regions such as the Taurus clouds. Sources in the northern part of the region surveyed have larger line widths, kinetic temperatures, Tk, and higher ratios of the J = 3-2 to J = 2-1 lines of C18O. It is likely that these sources are heated externally. Except for cores in the southern part of this cloud, Tk exceeds 10 K, the value found for dark dust clouds. The average density for all cores is ~3 × 104 cm-3. Orion KL is an extraordinary source, with much larger Tk, local density, and column density than any other source in our sample.