Miracle-dz/UniFAR-FTUs huggingface dataset:
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction

We introduce ViSER, a method for recovering articulated 3D shapes and dense 3D trajectories from monocular videos. Previous work on high-quality reconstruction of dynamic 3D shapes typically relies on multiple camera views, strong category-speciﬁc priors, or 2D keypoint supervision. We show that none of these are required if one can reliably estimate long-range correspondences in a video, making use of only 2D object masks and two-frame optical ﬂow as inputs. ViSER infers correspondences by matching 2D pixels to a canonical, deformable 3D mesh via video-speciﬁc surface embeddings that capture the pixel appearance of each surface point. These embeddings behave as a continuous set of keypoint descriptors deﬁned over the mesh surface, which can be used to establish dense long-range correspondences across pixels. The surface embeddings are implemented as coordinate-based MLPs that are ﬁt to each video via consistency and contrastive reconstruction losses. Experimental results show that ViSER compares favorably against prior work on challenging videos of humans with loose clothing and unusual poses as well as animals videos from DAVIS and YTVOS. Our code is available at viser-shape.github. io .
Exploring the variable effects of frequency and semantic diversity as predictors for a word’s ease of acquisition in different word classes

Infant vocabulary development is inevitably dependent on the speech they hear in their environment. This paper reports an investigation of the vocabulary statistics that predict a word’s age of acquisition, focusing on frequency and contextual diversity as derived from child-directed speech data along with associative norms generated by adults. Age of acquisition is operationalised using parental-report of infant word knowledge in a British English-speaking population. The work can be considered an extension of Hills, Maouene, Riordan, and Smith (2010) using a fully British English dataset. We found significant effects of both word frequency and word associations on age of acquisition. Interestingly, the strength of these predictors differed between word classes, with frequency being the strongest predictor for nouns and associations the strongest predictor for function words.
Uncertainty propagation in the discrete-time wavelet transform

Signal analysis based on the wavelet transform is applied in many fields. Detection and classification of electromagnetic transients in power systems is a significant application. The use of the wavelet transform for measurement purposes involves issues of uncertainty evaluation. In this paper, an analytical model for the evaluation of the uncertainty affecting the details and the approximation coefficients determined means of the discrete-time wavelet transform is proposed. The results of some experimental work showing the performance of the method are also presented and discussed.
Accounting support for justification of hop production costs under government granting

As one of the leading segments of modern agriculture in the Russian Federation, the hop production is currently on the rise and upscales its activities every year. This is largely facilitated by strong financial government support. The purpose of this study is to examine the main theoretical and methodological aspects of organizing the appropriate production accounting to provide the common approaches to cost justification while filing of applications by hop farms for grants. To reveal the main scientific provisions, such techniques and methods as observation, induction and deduction, analysis and synthesis, observation, comparison and other were used. The findings of the study point to the fact that no updated regulatory framework for accounting of costs in hop farms is available, and the issue of the structure and content of the incurred cost information carrier has not been completely elaborated within the government grant issuing mechanism. A small number of international and Russian studies to determine the essential characteristics of hops as a biological asset has a negative impact on the arrangement of the accounting process. The article suggests the methodology for organizing cost accounting by the main agro-technological stages of hop management and cultivation.
A Study to Compare the Fouling Resistance and Self-cleaning Properties of Two-patterned Surfaces with an Un-patterned Control Surface

Biofouling is an unwelcomed phenomenon where unwanted biological matter adheres to surfaces with the presence of water, resulting in alteration to the properties of the surface. This affects many industries, especially the marine industry. Multiple biofouling control studies have been conducted to minimize damage and maintenance cost of these surfaces. With rising concerns on the toxicity of current control methods towards the environment, non-toxic methods shown to be effective are surface modifications such as self-cleaning or biomimetic textured surfaces. One of the biomimetic surfaces, shark’s skin has shown anti-fouling properties due to its surface riblets with low drag properties based on studies done. However, few researches are conducted to implement these biomimetic surface topographies for real anti-fouling applications. Therefore, this project explores the possibilities in implementing biomimetic surface topographies such as shark’s skin in real life applications using computational fluid dynamics (CFD) analysis and also to manufacture these surfaces using 3D printing methods. A computer-aided design (CAD) model of shark skin and un-patterned surface topographies are used to study the behavior of fluid over these surfaces in CFD fluent in ANSYS software. The hydrodynamic variable data such as wall shear stress over the surface topography is represented in a contour and vector plot, these results are then analyzed. According to the hypotheses, the biomimetic shark skin surface topography will show higher wall shear stress, indicating anti-fouling properties. In the next part of this project is the manufacturing of these surface, the goal is to provide a cheaper alternative to current micro-structured surface production methods such as photolithography. Additive manufacturing such as fused deposition modeling (FDM) 3D printing can potentially provide a manufacturing method with a much lower cost and time needed. Thus, 3D printing of the biomimetic shark skin surface topography will be carried out in this project to determine if FDM can provide a manufacturing solution to anti-fouling micro-topography surfaces.
Development of high resolution MIMO channel sounder for the advanced modeling of wireless channels

This paper describes the development of the multi-input multi-output (MIMO) channel sounder which can jointly estimate the direction of departure (DOD), the direction of arrival (DOA) and the delay time of arrival (DTOA), for the advanced modeling of wireless channels. The algorithm and the hardware architecture are described, as well as the experimental results using the prototype.
Stochastic bandits with groups of similar arms

We consider a variant of the stochastic multi-armed bandit problem where arms are known to be organized into different groups having the same mean. The groups are unknown but a lower bound q on their size is known. This situation typically appears when each arm can be described with a list of categorical attributes, and the (unknown) mean reward function only depends on a subset of them, the others being redundant. In this case, q is linked naturally to the number of attributes considered redundant, and the number of categories of each attribute. For this structured problem of practical relevance, we ﬁrst derive the asymptotic regret lower bound and corresponding constrained optimization problem. They reveal the achievable regret can be substantially reduced when compared to the unstructured setup, possibly by a factor q . However, solving exactly the exact constrained optimization problem involves a combinatorial problem. We introduce a lowerbound inspired strategy involving a computationally efﬁcient relaxation that is based on a sorting mechanism. We further prove it achieves a lower bound close to the optimal one up to a controlled factor, and achieves an asymptotic regret q times smaller than the unstructured one. We believe this shows it is a valuable strategy for the practitioner. Last, we illustrate the performance of the considered strategy on numerical experiments involving a large number of arms.
A Graph Neural Network gas concentration prediction model based on Spatio-Temporal data

For the problem of low prediction accuracy caused by traditional neural network gas concentration prediction models which did not consider temporal and spatial characteristics of gas data, this paper proposed a Spatial-Temporal graph neural network gas prediction model based on Spatial-Temporal data. Its essence was the integration of graph convolutional network and WaveNet network. In spatial dimension, graph convolutional network was used to aggregate the information of neighbor nodes, and adaptively adjusts the spatial association strength of each node according to the attention mechanism to captured the spatial characteristics of gas data. In temporal dimension, WaveNet network model was introduced, Dilated Causal Convolution was used to extract the temporal characteristics of gas data on temporal dimensions. According to the distance between gas sensors in the mine, the gas data spatial structure was constructed by Thresholded Gaussian kernel function. Experiment with the measured gas temporal and spatial data, using Mean Absolute Error (MAE) as an indicator of predictive accuracy. The experimental results show that the prediction model mentioned in this paper is significantly improved compared with the prediction accuracy of other predictive models.
Cost of quality model in the practice of apple juice processing business unit in Batu City: a comparison

The paper compares the cost of quality models in a different business unit of selected apple juice producers. Data and information were carried out through observation and interviews with key informants and related parties. Further data were analysed using the Activity Based Costing (ABC) approach to get a quality cost model for each business unit. The primary cost analysis shows a similar proportionality between the cost of prevention, appraisal, and cost of failure among three business units. Results illustrated that the higher the production capacity, the higher quality costs that occur or are budgeted for. From the calculation of quality costs, it is known that most of the quality costs come from appraisal costs. The cased business units indicated the high appraisal cost, which does have an impact on the low number of defective or failed products.
A New Experimental Approach to Study Helicopter Blade-Vortex Interaction Noise

A new experimental method to study helicopter Blade-Vortex Interaction (BVI) noise has been developed. Called the Blade-Controlled Disturbance-Interaction (B-CD-I), the method nearly replicates a rotor BVI by having a single-bladed rotor pass through a stationary gust field specially designed to simulate the highly impulsive induced velocity field of a vortex. This approach can be used to evaluate the effectiveness of blade design changes to noise radiation during a BVI event, as well as to study the effect of different interaction geometries on the resulting noise. The first experiments in this facility show that the directionality of BVI noise is radiation very sensitive to the interaction angle. Moreover, oblique interactions spread the acoustics energy over wider azimuth angles than parallel interactions, along with bringing the peak noise location closer to the rotor plane. Linear two-dimensional unsteady aerodynamic theory predicts the overall directionality trends reasonably well. However the actual pulse shapes do not match and noise levels are underpredicted, particularly for oblique interactions.
Final Targeting Strategy for the Sloan Digital Sky Survey IV Apache Point Observatory Galactic Evolution Experiment 2 North Survey

The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is a dual-hemisphere, near-infrared (NIR), spectroscopic survey with the goal of producing a chemodynamical mapping of the Milky Way. The targeting for APOGEE-2 is complex and has evolved with time. In this paper, we present the updates and additions to the initial targeting strategy for APOGEE-2N presented in Zasowski et al. (2017). These modifications come in two implementation modes: (i) “Ancillary Science Programs” competitively awarded to Sloan Digital Sky Survey IV PIs through proposal calls in 2015 and 2017 for the pursuit of new scientific avenues outside the main survey, and (ii) an effective 1.5 yr expansion of the survey, known as the Bright Time Extension (BTX), made possible through accrued efficiency gains over the first years of the APOGEE-2N project. For the 23 distinct ancillary programs, we provide descriptions of the scientific aims, target selection, and how to identify these targets within the APOGEE-2 sample. The BTX permitted changes to the main survey strategy, the inclusion of new programs in response to scientific discoveries or to exploit major new data sets not available at the outset of the survey design, and expansions of existing programs to enhance their scientific success and reach. After describing the motivations, implementation, and assessment of these programs, we also leave a summary of lessons learned from nearly a decade of APOGEE-1 and APOGEE-2 survey operations. A companion paper, F. Santana et al. (submitted; AAS29036), provides a complementary presentation of targeting modifications relevant to APOGEE-2 operations in the Southern Hemisphere.
Classification of Magnetic Tile Surface Defects Based on Efficientnet Network with Attention

The magnetic tile image has the characteristics of uneven illumination, complex surface texture, and low contrast. Aiming at the problem that the traditional defect detection algorithm is difficult to accurately identify the defects, and the deep learning algorithm is difficult to balance the classification accuracy and the size of the speed model, a defect classification algorithm based on attention-based EfficientNet is proposed. The algorithm first enhances the network’s spatial and location information for image features by integrating the Convolutional Block Attention Module, and improves the network’s ability to identify defects. Then, on this basis, Criss-Cross Attention is added to the network, so that the network can better the context information of the horizontal and vertical cross of image features, so that each pixel can finally capture the full image dependency of all pixels. Experimental results show that the algorithm has higher classification accuracy than EfficientNet-B0, reached 99.11%, and has a better balance between accuracy, speed and model size than other classification models.
The influence of stallions on the properties of the udder of daughters

The presented work is the result of studies of the influence of the linearity of mares of the Russian heavy draft breed on milk productivity, morphological characteristics of the udder and adaptability to machine milking. We examined mares belonging to four lines of stallions: Day laborer, Casket, Svist and Karaul. The calculated milk yield on average per lactation was the highest in mares of the Svist line, and the lowest in the Larchik line. Lifetime milk yield of mares of the Svist line exceeded the same indicator of mares of the Podennik line by 12.13%, of the Karaul line - by 18.51% and the Larchik line - by 47.77%. Studies have shown that Whistle stallions not only contribute to the high milk production of their daughters, but also impart good adaptability to machine milking. Mares of the Larchik line in this population of horses of the Russian heavy draft breed are the least productive and the least adapted to machine milking.
SYNTHESIS AND CHARACTERIZATION OF MACROCYCLIC COMPLEXES OF CHROMIUM (III)

The macrocyclic complexes resulted from the (1+1) cyclocondensation of α-diketones such as 2,3-butanedione, 2,3-pentanedione, 3,4hexanedione, 1-phenyl-1,2-propanedione, benzil or 4,4’dimethylbenzil with oxadiamines which is 1,12-diamino-4,9dioxadodecane in presence of chromium (III) salts are synthesized by using butanol as a solvent. These complexes were characterized using different physicochemical studies as elemental analyses, FT-IR, FAB mass spectrometry, magnetic properties and their biological activities.
An Attention-based Text Detection and Recognition Method for Terminals of Current Transformer’s Secondary Circuit

Recognizing irregular text in real industrial scenes is a challenging task due to the background clutter, low resolutions or distortions. In this work, an attention-based text detection and recognition method for terminals of current transformer’s secondary circuit is proposed. It consists of three major components: pre-processing, text detection and text recognition. In text recognition module, a novel spatial temporal embedding is designed to better utilize the positional information. During training, the proposed framework only requires sequence-level annotations, instead of extra fine-grained character-level boxes or segmentation masks as in previous work. Despite its simplicity, the proposed method achieves good performance on the dataset collected in actual working scene.
Vibration transmission simulation model of a seated vehicle passenger

The paper presents development of vertical vibration simulation for a seated passenger in a moving vehicle is resulting from the bounce effect of the vehicle under various conditions. Although extensive research has been conducted in this field of study, the existing analysis were conducted on either the suspension of vehicle or the human body and not both. In this paper, the simulation model consists of three sub-systems, namely, vehicle suspension, seat suspension and human body model in which the vertical vibration is transmitted. By incorporating these sub-systems into the simulation, a correlation between mechanical and biological aspects can be formed between the three sub-systems. The transmission of vertical vibration in the validated simulation model provides a more realistic approach which can result to a better comparison to the real-life scenario. Parametric analysis of passive suspension system shows that lower mass ratio, higher stiffness ratio and lower damping coefficient results in better ride comfort. The incorporation of variable damper into the suspension system shows significant improvement in settling time, peak displacement and velocity, lesser discomfort rating and higher safety in passenger body.
Effect of the wing airfoil shape on the aerodynamics and performance of a jet-trainer aircraft – An optimization approach

Among the key factors in developing the performance of military aircraft are its aerodynamic characteristics and performance. This research presents the effect of shape of the wing airfoil on the aerodynamic characteristics and performance of the popular jet trainer aircraft L-39C. The aerodynamic data of different airfoil shapes were used to determine the aerodynamic characteristics and performance of the L-39C for different airfoil shapes in an effort to optimize the aircrafts aerodynamic and performance. NACA 64A012 airfoil is currently used on the L-39C, however, there may exist many airfoils that may have potential to improve the aerodynamic characteristics and hence the aircraft performance. For this purpose, a group of NACA airfoils are selected, namely, NACA 4412, NACA 2415, NACA 64212 and NACA 64215. Each of these airfoil influences the aerodynamic characteristics of the aircraft and hence its performance. For each airfoil, the aircraft performance in terms of thrust required, power required, and rate of climb at different altitudes and airspeeds are calculated and analysed. The airfoil data were calculated at cruising flight at zero angle of attack to reduce the variables that can affect the calculations. The results of the calculation and analysis showed that NACA 4412 has significant results in terms of aerodynamic characteristics although in terms of aerodynamic performance, the NACA 64A012 and NACA 4412 showed lower thrust required and power required. NACA 4412 has a (C L )max of 1.67, whereas NACA 64A012 has a (C L )max of 1.336, indicating that the airfoil stalled early at higher altitudes. NACA 4412 also showed better results in terms of aerodynamic characteristics compared to the other selected airfoils although NACA 64A012 shows some variance in the results. NACA 4412 and NACA 64A212 have shown to be promising in aerodynamic characteristics and performance where one has its own benefits over the other. Although in the end, NACA 4412 may be recommended for its aerodynamic characteristics and performance.
Use of activated charcoal feed supplement in diets of pigs

Pig farming is one of the most important and strategically valuable sub-branches of animal husbandry for ensuring food security of Russia and its regions as the special role of meat and meat products is determined with their significance as the main source of proteins of animal origin in human sensible nutrition. The novelty of the work is the use of an active coal feed additive as part of the diets of experimental piglets for growth and development and meat productivity during cultivation and fattening. Effective pig farming suggests use of high-quality feeds meeting requirements of presence of nutritional components and absence or minimum content of harmful and toxic substances. The conducted studies prove that the dose of activated charcoal feed supplement in the amount of 0.050 g/kg of live weight gives the highest results.
FUNCTIONAL RELATIONSHIP BETWEEN DRINKING WATER AND HUMAN HEALTH IN CLIMATE CHANGE

The article discusses the issues of determining the functional relationship between the quality of drinking water and the prevalence of diseases among the population in the context of climate change.In the context of globalization of global economy and intense competition and steady increase in population, mortality rates among people with infectious and parasitic diseases are increasing. International organizations are also paying much attention to fighting these problems and their consequences. In particular, the UN Sustainable Development Program up to 2030 emphasizes "issues related to the elimination of immunodeficiency, tuberculosis and malaria epidemics in the period up to 2030, as well as measures to combat hepatitis and other waterborne infections". Successful implementation of these tasks requires stabilization of nosocheological and nosogeographic situations in arid climates. Medical geographical situation in the regions is one of the most important factors determining the development of society and the way of life of the population. Addressing medical geographical problems and improving public health, reducing morbidity and increasing life expectancy are of vital scientific and practical importance. Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 31568
Theoretical Study of MMIC as CPW Line for Conductance and Capacitance

This a coplanar waveguide (CPW) line structure is presented, the equivalent circuits of the CPW's is drawn. Basically four parameters are in this structure. It is only conductance and capacitances are analysed and during analysis TEM modes is considered. This typical geometries of CPW is analysed for MM-Wave frequencies with constant inductance and resistance. During the analysis it is found that attenuation is improved up to 15%.