Miracle-dz/UniFAR-FTUs huggingface dataset:
Body Shape-Aware Object-Level Outfit Completion for Full-Body Portrait Images

Modeling fashion compatibility between different categories of items and forming personalized outfits have become important topics in recommender systems recently. However, item compatibility and outfit recommendation have been explored in perfect settings in the past, where high-quality images of items from the front view or user profiles are available. In this paper, we propose a new task called Complete The full-body Portrait (CTP) for real-world fashion images (e.g., street photos and selfies), which is able to recommend the most compatible item for a masked scene where the outfit is incomplete. Visual compatibility and personalization are the key points for accurate scene-based recommendations. In our approach, the former is accomplished by calculating the visual distance of the query scene and target item in latent space, while the latter is achieved by taking the body-shape information of the human subject into consideration. To obtain side information to train our model, ResNet-50, YOLOv3 and SMPLify-X models are adopted to extract visual features, detect item objects, and reconstruct a 3D body mesh, respectively. Our approach first predicts the missing item category from the masked scene, and then finds the most compatible items from the predicted category through computing visual distances at image level, region level and object level, together with measuring human body-shape compatibility. We conduct extensive experiments on two real-world datasets, Street2Shop and STL-Fashion. Both quantitative and qualitative results show that our model outperforms all baseline models.
Self-similar gravity currents with variable inflow revisited: plane currents

We use shallow-water theory to study the self-similar gravity currents that describe the intrusion of a heavy fluid below a lighter ambient fluid. We consider in detail the case of currents with planar symmetry produced by a source with variable inflow, such that the volume of the intruding fluid varies in time according to a power law of the type tα. The resistance of the ambient fluid is taken into account by a boundary condition of the von Kármán type, that depends on a parameter β that is a function of the density ratio of the fluids. The flow is characterized by β, α, and the Froude number [Fscr ]0 near the source. We find four kinds of self-similar solutions: subcritical continuous solutions (Type I), continuous solutions with a supercritical-subcritical transition (Type II), discontinuous solutions (Type III) that have a hydraulic jump, and discontinuous solutions having hydraulic jumps and a subcritical-supercritical transition (Type IV). The current is always subcritical near the front, but near the source it is subcritical ([Fscr ]0 < 1) for Type I currents, and supercritical ([Fscr ]0 > 1) for Types II, III, and IV. Type I solutions have already been found by other authors, but Type II, III, and IV currents are novel. We find the intervals of parameters for which these solutions exist, and discuss their properties. For constant-volume currents one obtains Type I solutions for any β that, when β > 2, have a ‘dry’ region near the origin. For steady inflow one finds Type I currents for O < β < ∞ and Type II and III Currents for and β, if [Fscr ]0 is sufficiently large.
A Decoupled Multi-Task Network for Shadow Removal

Shadow removal, which aims to restore the illumination in shadow regions, is challenging due to the diversity of shadows in terms of location, intensity, shape, and size. Different from most multi-task methods, which design elaborate multi-branch or multi-stage structures for better shadow removal, we introduce feature decomposition to learn better feature representations. Specifically, we propose a single-stage and decoupled multi-task network (DMTN) to explicitly learn the decomposed features for shadow removal, shadow matte estimation, and shadow image reconstruction. First, we propose several coarse-to-fine semi-convolution (SMC) modules to capture features sufficient for joint learning of these three tasks. Second, we design a theoretically supported feature decoupling layer to explicitly decouple the learned features into shadow image features and shadow matte features via weight reassignment. Last, these features are converted to a target shadow-free image, affiliated shadow matte, and shadow image, supervised by multi-task joint loss functions. With multi-task collaboration, DMTN effectively recovers the illumination in shadow areas while ensuring the fidelity of non-shadow areas. Experimental results show that DMTN competes favorably with state-of-the-art multi-branch/multi-stage shadow removal methods, while maintaining the simplicity of single-stage methods.
Case report: Long-read sequencing identified a novel 14.9-kb deletion of the α-globin gene locus in a family with α-thalassemia in China

Background: Thalassemia is a hereditary blood disease resulting from globin chain synthesis impairment because of α- and/or β-globin gene variants. α-thalassemia is characterized by non-deletional and deletional variants in the HBA gene locus, of which rare deletional variants are difficult to detect by conventional polymerase chain reaction (PCR)-based methods. Case report: We report the case of a one-month-old boy, who and his mother had abnormal hematological parameters, while his father had normal hematology. Conventional PCR-reverse dot blot (RDB) was performed for all family members to analyze the 23 most common thalassemia variants in China, but did not identify any pathologic variants. Single-molecule real-time (SMRT) long-read sequencing (LRS) technology was then performed and identified an unreported 14.9-kb large deletion (hg38 chr16:168,803-183,737) of the α-globin gene locus, which disrupted both HBA1 and HBA2 genes in the proband and his mother. The exact breakpoints of the deletion were confirmed by gap-PCR and Sanger sequencing. Conclusion: We have detected a novel large deletion in α-globin gene locus in China, which not only enriches the variant spectrum of thalassemia, but also demonstrates the accuracy and efficiency of LRS in detecting rare and novel deletions.
Sensitivity of Local Predictions to Initial Conditions

Abstract A hydrostatic, anelastic mesoscale numerical model is used to study the predictability of a sea breeze type of circulation over La Plata River in South America. The experiments are designed to test the sensitivity of the predictions to uncertainties in the initial wind field. They consist in the comparison of control and perturbed forecasts which differ only in the initial specification of the wind held. In the case of small-domain prediction systematic uncertainties are probably more representative of actual initial uncertainties than are random, uncorrelated uncertainities. In order to study such cases we systematically add to or subtract from the control run at every grid point a constant value equal to the typical error in the measurement of the wind. We also perform other experiments on a larger domain covering most of South America. The results show that the predictions of the sea breeze type of circulation in the boundary layer around the La Plata River are sensitive to errors in the initi.
PENERAPAN ALGORITMA NAÏVE BAYES CLASSIFIER UNTUK ANALISIS SENTIMEN KELANGKAAN MINYAK GORENG PADA MEDIA SOSIAL TWITTER

Twitter merupakan salah sebagian dari sosial media yang banyak digemari hingga saat ini. Pada akhir – akhir ini yang menjadi trending topic di Twitter yaitu mengenai isu kelangkaan minyak goreng, dimana masyarakat Indonesia saat ini sedang dihadapi krisis minyak goreng. Minyak goreng merupakan salah sebagian dari kebutuhan pokok di masyarakat. Sehingga bermunculan opini baik positif maupun negatif terhadap isu tersebut. Untuk mengetahui opini yang ada di Twitter maka yang harus dilakukan adalah mengolah data tweet untuk diklasifikasikan menjadi opini positif dan negatif. Salah satu cara dalam menganalisis yang dapat diaplikasikan yaitu Analisis Sentimen. Dalam melangsungkan analisis sentimen diperlukan suatu algoritma yang mumpuni yaitu Naïve Bayes Classifier untuk mendapatkan hasil akurasi yang maksimal serta untuk menunjang aplikasi tersebut dalam mengklasifikasikan data tweet pada media sosial Twitter pada isu kelangkaan minyak goreng.
Micropolarizer made of the anodized alumina film

A novel micropolarizer has been fabricated from alumina and nickel by means of anodization and electroplating techniques. Making use of the anisotropic microstructure of the anodized alumina film, a lattice of nickel columns is easily constructed in the film, which works as a wire grid type polarizer. The fabricated polarizer has achieved an extinction ratio larger than 30 dB at the wavelength of 1.3 μm.
Towards Enhancement of the Economy of a Thermal Power Generating System through Prediction of Plant Efficiency

Abstract The plant ‘Heat Rate’ (HR) is a measure of overall efficiency of a thermal power generating system. It depends on a large number of factors, some of which are non-measurable, while data relating to others are seldom available and recorded. However, coal quality (expressed in terms of ‘effective heat value’ (EHV) as kcal/kg) transpires to be one of the important factors that influences HR values and data on EHV are available in any thermal power generating system. In the present work, we propose a prediction interval of the HR values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR. The underlying theory borrows the idea of providing simultaneous confidence interval (SCI) to the coefficients of a p-th p(≥1) order autoregressive model (AR(p)). The theory has been substantiated with the help of real life data from a power utility (after suitable base and scale transformation of the data to maintain the confidentiality of the classified document). Scope for formulating strategies to enhance the economy of a thermal power generating system has also been explored.
Three-Dimensional Plotted Calcium Phosphate Scaffolds for Bone Defect Augmentation—A New Method for Regeneration

For sinus grafting, different methods and materials are available. One possible shortcoming of particulate bone grafts is either overfilling or augmenting the planned implant area insufficiently. To overcome this risk and to determine the implant position prior augmentation, we present an approach using three-dimensional printed scaffolds. A patient with a remaining anterior dentition and bilateral severely atrophied posterior maxilla was seeking oral rehabilitation. The cone beam computed tomography (CBCT) showed residual bone heights between one and two millimeters. Following the three-dimensional reconstruction of the CBCT data, the positions of the implants were determined in areas 16 and 26. Three-dimensional scaffolds adapted to the topography of the sinus were virtually designed and printed using a calcium phosphate cement paste. Bilateral sinus floor augmentation applying the printed scaffolds with an interconnecting porosity followed. After nine months, a satisfying integration of the scaffolds was obvious. At the re-entry, vital bone with sufficient blood supply was found. One implant could be placed in positions 16 and 26, respectively. After five months, the implants could be uncovered and were provided with a temporary denture. The application of three-dimensionally printed scaffolds from calcium phosphate cement paste seems to be a promising technique to graft the severely atrophied posterior maxilla for the placement of dental implants.
Autonomous Grasping Using Novel Distance Estimator

—This paper introduces a novel distance estimator using monocular vision for autonomous underwater grasping. The presented method is also applicable to topside grasping operations. The estimator is developed for robot manipulators with a monocular camera placed near the gripper. The fact that the camera is attached near the gripper makes it possible to design a method for capturing images from different positions, as the relative position change can be measured. The presented system can estimate relative distance to an object of unknown size with good precision. The manipulator applied in the presented work is the SeaArm-2, a fully electric underwater small modular manipulator. The manipulator is unique in its integrated monocular camera in the end-effector module, and its design facilitates the use of different end-effector tools. The camera is used for supervision, object detection, and tracking. The distance estimator was validated in a laboratory setting through autonomous grasping experiments. The manipulator was able to search for and find, estimate the relative distance of, grasp, and retrieve the relevant object in 12 out of 12 trials.
Statistical comparison of spatial fields in model validation, perturbation, and predictability experiments

The comparison of spatial fields of meteorological variables is an essential component of model validation studies and is central in assessing the significance of any change between a perturbed and control run of a general circulation model. Comparisons may be made of statistics which define the time-mean state, the temporal variability about this state, and/or spatial variability. Comparisons may also be made of the two time-mean spatial patterns, or of the temporal evolutions of spatial patterns. We consider here a suite of univariate and multivariate statistics which may be used to make these comparisons. Some of these statistics have been used previously, while others are either new or have not previously been used in the present context. The use of these statistics, their differences and similarities, and their relative performances are illustrated by considering mean sea level pressure changes between the decades 1951–1960 and 1971–1980 over an area covering North America, the North Atlantic Ocean, and Europe. Significance levels are assessed using the pool-permutation procedure of Preisendorfer and Barnett (1983) (henceforth P+B). This overcomes problems arising from nonideal behavior of the data (particularly spatial autocorrelation), unknown sampling distributions, and multiplicity in the case of univariate statistics. A subset of statistics is identified as most useful. For tests of differences in means these are the grid point by grid point t-test, a test comparing the overall means, and P+B's SITES statistic. For tests of differences in temporal variability they are the grid point by grid point F-test, and SPRET1 (the ratio of the spatial means of the time variances). SPRET1 is a modification of P+B's SPRED statistic designed to identify the direction of any variance difference. As a test of spatial variability differences, we identify SPREX1 (the ratio of the time means of the spatial variances), and for comparing spatial patterns the best statistic is the (spatial) correlation coefficient between the time-mean fields. For comparing the temporal evolution of spatial patterns, we recommend using the time-mean anomaly field correlation which is a more easily interpreted equivalent to P+B's SHAPE statistic.
The Moderation Role of AI-Enabled Service Quality on the Attitude Toward Fitness Apps

Artificial intelligent technology is rapidly transforming the fitness apps landscape by applying data mining technologies within given parameters. These wide-ranging AI-enabled services improve user interface and enhance customers' experience when exercising with the fitness apps. The current study integrated the four antecedents—technological functions, intrinsic information quality, perceived enjoyment, and social connection—to investigate the moderating influence of AI-enabled service quality on users' attitude toward physical activity. PLS-SEM was used to analyze and validate a sample of 170 participants. The findings posited that individuals' attitude toward physical activity is encouraged by the (1) technological functions (2) intrinsic information quality, and (3) perceived enjoyment. Further, the moderating role of AI-enabled service positively influencing the attitude toward physical activity with technological functions was also established.
Cross-polarization scattering from low-frequency electromagnetic waves in the GAMMA10 tandem mirror

A cross-polarization scattering (CPS) diagnostic method was applied to the GAMMA10 tandem mirror in order to study electromagnetic plasma waves with frequency less than 10 MHz. In the CPS process, an incident ordinary (extraordinary) wave is converted to an extraordinary (ordinary) wave by magnetic fluctuations in a plasma. The frequency spectra, and the density and magnetic fluctuations of the waves can be evaluated from both the CPS and reflectometry. The converted wave propagates through the cutoff layer and reaches a different diagnostic port with a receiver horn. The observed waves are identified as the electromagnetic drift wave assuming the wave number matching condition. The low frequency waves nonlinearly coupled with the Alfven ion cyclotron waves are also observed with increase in the plasma pressure.
Predicted occultations by Uranus - 1981-1984

Predictions are presented for 11 occultations by and appulses to Uranus and its ring system for ten stars from 1981 through 1984. The brightest stars are occulted on April 26, 1981 (BD - 19 deg 4222) and on April 22, 1982 (Hyd - 20 deg 51699). The ring system occults the same star twice during March 1983 (Hyd - 21 deg 64352).
A semi-classical trace formula for several commuting operators

We consider several selfadjoint h-pseudodifferential operators which commute to each other. Let be a regular value of the principal symbol of A(h) and K be a compact neighborhood of E. Under suitable assumptions the joint spectrum of A(h) in K consists of finitely many joint eigenvalues . Let ζ be a smooth function in Rk having a Fourier transform with compact support. The aim of this article is to investigate the semiclassical asymptotics of the trace in terms of the periodic orbits of the joint Hamiltoian flow of a0 lying on the energy surface .
Estimation and Testing for Unit Roots in a Partially Nonstationary Vector Autoregressive Moving Average Model

Abstract The Gaussian estimation of a partially nonstationary autoregressive model and the related issue of testing for cointegration using the likelihood ratio test procedure have been considered by others. In this article we extend the Gaussian estimation procedure to partially nonstationary autoregressive moving average models and derive the asymptotic properties of the full-rank and reduced-rank Gaussian estimators. Based on these results, the asymptotic distribution of the likelihood ratio statistic for testing the number of unit roots is obtained. A numerical example based on three U.S. interest rate series is used to illustrate the estimation and testing procedures. The finite-sample properties of the estimation and likelihood ratio test procedures are examined through a small simulation study.
On longitudinal and lateral moment hierarchy in turbulence

A quantity of interest, β (degree of intermittency between scale hierarchy), which appears in a recent intermittency model by She and Leveque [Phys. Rev. Lett. 72, 336 (1994)] is computed from turbulent simulations with Taylor-Reynolds number in the order of 100. It is found that the lateral and longitudinal β values are unequal. For most of the moment hierarchy order p, lateral β deviates more from K-41 (i.e., smaller) than the longitudinal. β is also found to be p dependent.
Scattering resonances on a fast-wave structure

This investigation is concerned with the scattering resonances, or generalized Wood's anomalies, that are exhibited on a fast-wave structure. In the past, all similar efforts have confined their attention to structures supporting a basic slow wave along the surface. In the frequency range \frac{1}{2} , such structures exhibit only one anomaly as compared to two for the fast-wave type. The reason for this difference lies in the fact that in the above frequency range only the n = - 1 space harmonic radiates away from the slow-wave structure while both the n = 0 and n = - 1 radiate from the other. In other words, the number of scattering resonances is exactly equal to the number of leaky waves supported by the structure under the same conditions of periodicity. The fast-wave structure analyzed here in detail consists of a parallel-plate waveguide perturbed by a series of periodic, parallel slits in the top plate. In the range a/\lambda , the plane-wave scattering problem is considered for both E and H mode polarizations, and the anomalies are found to manifest themselves as a rapid variation in the phase of the reflection coefficient. When a/\lambda there are no higher-order diffracted waves, and the magnitude of the reflection coefficient is, therefore, fixed at unity. The relative periodicity is next extended to the range \frac{1}{2} El, and the scattering problem considered for E mode polarization. The periodicity is now such that both the reflected wave and the first higher-order diffracted wave propagate transversely. Under such circumstances, it is convenient to use a scattering description for the fields, and the anomalies may then be observed as rapid variations in both the magnitude and phase of the scattering coefficients. The relation to the role played by the Rayleigh wavelength in the classical Wood's anomalies on optical reflection gratings is also considered.
A study of the combined effect of thermal radiative transfer and rotation on the gravitational stability of a hot fluid

The effect of radiative transfer on thermal stability when a Coriolis force is also acting has been examined. Two asymptotic approximations of the radiative transfer equation have been used to study the stability problem in detail. The necessary and sufficient conditions for the validity of the principle of exchange of stabilities are also obtained.
The Virtuous Galleria mellonella Model for Scientific Experimentation

The first research on the insect Galleria mellonella was published 85 years ago, and the larva is now widely used as a model to study infections caused by bacterial and fungal pathogens, for screening new antimicrobials, to study the adjacent immune response in co-infections or in host-pathogen interaction, as well as in a toxicity model. The immune system of the G. mellonella model shows remarkable similarities with mammals. Furthermore, results from G. mellonella correlate positively with mammalian models and with other invertebrate models. Unlike other invertebrate models, G. mellonella can withstand temperatures of 37 °C, and its handling and experimental procedures are simpler. Despite having some disadvantages, G. mellonella is a virtuous in vivo model to be used in preclinical studies, as an intermediate model between in vitro and mammalian in vivo studies, and is a great example on how to apply the bioethics principle of the 3Rs (Replacement, Reduction, and Refinement) in animal experimentation. This review aims to discuss the progress of the G. mellonella model, highlighting the key aspects of its use, including experimental design considerations and the necessity to standardize them. A different score in the “cocoon” category included in the G. mellonella Health Index Scoring System is also proposed.