Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on the Effect of Presowing Electromagnetic Treatmenton the Number and Lengths of Roots and Lengths of Sprouts of Triticale Seedsthe Cultivar Colorit

On triticale seeds the cultivar Colorit pre-sowing electromagnetic treatments with screw device were performed and established the values of laboratory parameters: number of roots and lengths of roots and sprouts. There were established the equations of regression. The surfaces and lines of response of these parameters were built. On their basis there were established the values of controllable factors that could affect beneficially on the development of laboratory parameters number and length of roots and length of sprouts, namely: voltage between the electrodes of screw processing device (factor ) U=(4.3.5.4) kV, exposure duration (factor ) t =(28.54)s, and length of staying of seeds from treatment to their sowing (factor ) T≈(14.22) days.
Meta-Q-Learning

This paper introduces Meta-Q-Learning (MQL), a new off-policy algorithm for meta-Reinforcement Learning (meta-RL). MQL builds upon three simple ideas. First, we show that Q-learning is competitive with state-of-the-art meta-RL algorithms if given access to a context variable that is a representation of the past trajectory. Second, a multi-task objective to maximize the average reward across the training tasks is an effective method to meta-train RL policies. Third, past data from the meta-training replay buffer can be recycled to adapt the policy on a new task using off-policy updates. MQL draws upon ideas in propensity estimation to do so and thereby amplifies the amount of available data for adaptation. Experiments on standard continuous-control benchmarks suggest that MQL compares favorably with the state of the art in meta-RL.
Algoritmo eficiente de análise estática para procurar ataques do tipo variáveis contaminadas

Ataques do tipo variaveis contaminadas ocorrem quando entradas de programas sao manipuladas maliciosamente a afim de explorar falhas de seguranca inerentes ao software afetado. Ataques deste tipo sao comuns em linguagens de scripts como PHP, originadas no lado do servidor. Em 1997, Orbaek e Palsberg formalizaram o problema de detectar essas exploracoes como uma instância de verificacao de tipo e mostraram que um algoritmo com complexidade de tempo O(V3) e capaz de resolver o problema. Um algoritmo similar foi implementado dez anos depois pela ferramenta open source Pixy para encontrar falhas de seguranca em programas PHP. Este trabalho mostra que o mesmo problema pode ser resolvido em tempo O(V2). A solucao proposta utiliza uma representacao intermediaria chamada e-SSA (extended Static Single Assignment) proposta por Bodik et al. em 2000. Essa representacao pode ser computada eficientemente e permite que o problema seja tratado como um problema de alcance em grafos, onde arestas modelam dependencias de dados entre variaveis de programas. Usando a mesma infra-estrutura de implementacao, foi comparada a tecnica proposta neste trabalho com e-SSA e a tecnica que utiliza analise de fluxo de dados (data-flow). Ambas as abordagens possuem a mesma eficacia e foram capazes de detectar 36 vulnerabilidades em programas PHP conhecidos. Nos experimentos e possivel observar que a abordagem proposta neste trabalho tem um melhor desempenho que o algoritmo utilizando data-flow. As falhas de seguranca encontradas foram reportadas e a implementacao do algoritmo proposto esta disponivel para o compilador de PHP open source phc.
Stability of wakes behind elongated bluff bodies at incidence

Flow past elongated bluff bodies for Reynolds numbers Re 6 500 is investigated here for incident angles I 6 20◦. Two-dimensional simulations are performed using a spectral element solver for elliptical shaped cylinders for aspect ratios AR 6 2.5 to first obtain the base flows, following which linear stability analysis is performed on the unsteady base flows to investigate the onset of threedimensional modes. For low aspect ratio cylinders, the transition sequence from steady two-dimensional flow to unsteady three-dimensional flow (steady → unsteady → mode A → mode B → mode QP) closely resembles that of a circular cylinder for all incident angles. As the aspect ratio is increased, the onset of the these transitions is delayed to higher Reynolds numbers for a given incidence angle, while the onset of the three-dimensional modes occurs at lower Reynolds numbers on increasing the incidence angles. The behaviour of the various three-dimensional modes is investigated in this parameter space.
Numerical study of a turbulent separation bubble with sweep

Direct numerical simulation (DNS) is used to study a separated and rapidly reattached turbulent boundary layer over an idealized $35^{\circ }$ infinite swept wing. The separation and reattachment are induced by a transpiration profile at fixed distance above the layer, with the pressure gradient applied to a well-defined, fully developed, zero-pressure-gradient (ZPG) collateral state. To isolate the influence of the sweep, results are compared with one of our earlier DNS of an unswept flow, with the same chordwise transpiration distribution and appropriate upstream momentum thickness. The independence principle (IP) traditionally proposed for swept wings, which is exact for laminar flows, is found to be close to valid in some regions (bridging the separation/reattachment zone) and to fail in others (in the ZPG layers upstream and downstream of the separation). This is assessed primarily through the skin friction and integral thicknesses. The regions in which the IP is approximately valid correspond to regions of diminished Reynolds-stress divergence, compared to the pressure-gradient magnitude. The mean-velocity profiles exhibit significant skewing as the flow develops, while the velocity magnitude departs only slightly from the ZPG logarithmic profile, even above the separation zone. Implications for Reynolds-averaged turbulence modelling are discussed.
On instantons and finite-size D-Branes in string theory

In this thesis we study the possibility of defining finite-size (as opposed to pointlike) D-branes in string theory. In particular, we consider bound states of D-instantons and higher dimensional D-branes and we explore the possibility of blowing up of the size of the D-instantons. Based on the equivalence between twisted bosons on a circle and the orbifold theory at the critical radius, we provide a bosonized representation of boundary twist fields and thus a free field representation of the latter. This allows to explore the moduli space of marginal deformations of bound states of D-branes. We show that the blow-up of the size of D-branes in bosonic string theory is obstructed at second order in the size, both from the worldsheet and string field theory point of view. We extend the analysis to superstring theory, in particular to the bound state of D-instantons and D3 branes. We show that the marginal deformation describing the blow-up of a zero-size D(−1) brane bound to a background of D3 branes is obstructed, at third order in the size of the D(−1) brane, by analyzing the equations of motion of superstring field theory at this order. However, this obstruction can be removed by an appropriate zero-momentum gluon background. This obstruction is due to subtleties in the integration over odd moduli in super-moduli space, which are missed by the standard worldsheet approach in terms of vertex operators of various pictures. On the other hand, this confirms the intuition that D-branes play the role of effective worldsheet description of zero size instantons, which is a singular point of their moduli space. Since the deformation is not obstructed at second order in size, it is possible to define an instanton profile in the context of superstring theory. We review this derivation, connecting it to Yang-Mills instantons and extending it to include α′corrections.
Consistent Group Selection with Bayesian High Dimensional Modeling

In many applications with high dimensional covariates, the covariates are naturally structured into diﬀerent groups which can be used to perform eﬃcient statistical inference. We propose a Bayesian hierarchical model with a spike and slab prior speciﬁcation to perform group selection in high dimensional linear regression models. While several penalization methods and more recently, some Bayesian approaches are proposed for group selection, theoretical properties of Bayesian approaches have not been studied extensively. In this paper, we provide novel theoretical results for group selection consistency under spike and slab priors which demonstrate that the proposed Bayesian approach has advantages compared to penalization approaches. Our theoretical results accommodate ﬂexible conditions on the design matrix and can be applied to commonly used statistical models such as nonparametric additive models for which very limited theoretical results are available for the Bayesian methods. A shotgun stochastic search algorithm is adopted for the implementation of our proposed approach. We illustrate through simulation studies that the proposed method has better performance for group selection compared to a variety of existing methods.
Socially responsible supply chains with cost learning effects

Corporate social responsibility (CSR) has been attracting increasing attention. This paper investigates the implications of CSR upon a two-period manufacturer–retailer supply chain with cost learning effects which have been widely observed in different industries. Two scenarios are under consideration: the retailer exhibits CSR in one and the manufacturer does in the other. The analytical results demonstrate that compared with no CSR, the implementation of CSR generates higher pure profit for the entire chain. In contrast to the scenario where the manufacturer shows CSR, in the scenario where the retailer exhibits CSR, the manufacturer charges higher wholesale prices while the retailer charges lower retail prices, resulting in a higher chain-wide profit. Moreover, two-part tariff contracts are designed to coordinate the socially responsible supply chains. When coordinated, if the retailer exhibits CSR the wholesale prices are equal to the realized production cost which results from cost learning effects, while the wholesale prices are lower than the realized production cost if the manufacturer shows CSR. Interestingly, cost learning effects impair the pure profit of the coordinated supply chain when the effect of CSR is sufficiently high.
PENGARUH PENDIDIKAN, PELATIHAN, DAN PEMAHAMAN SAP BERBASIS AKRUAL TERHADAP PENYUSUNAN LAPORAN KEUANGAN PADA PEMERINTAH KOTA BANJARMASIN

Pengaruh Pendidikan, Pelatihan, dan Pemahaman SAP Berbasis Akrual terhadap Penyusunan Laporan Keuangan Pada Pemerintah Kota Banjarmasin. Tujuan dari penelitian ini adalah untuk : (1) menganalisis pengaruh pendidikan terhadap penyusunan laporan keuangan (2) menganalisis pengaruh pelatihan terhadap penyusunan laporan keuangan (3) menganalisis pengaruh pemahaman SAP berbasis akrual terhadap penyusunan laporan keuangan.Penelitian ini merupakan penelitian assosiatif kausal. Populasi adalah 28 SKPD pada Pemerintah Kota Banjarmasin. Jenis data adalah data primer. Metode pengumpulan data menggunakan kuesioner. Metode pengambilan sampel menggunakan metode teknik simple random sampling. Sampel adalah 23 SKPD dengan 69 responden. Teknik analisis data menggunakan regresi linier berganda.Hasil penelitian ini menunjukkan : (1) pendidikan (2) pelatihan (3) pemahaman SAP berbasis akrual berpengaruh terhadap penyusunan laporan keuangan. Kata kunci : pendidikan, pelatihan, pemahaman SAP berbasis akrual, penyusunan laporan keuangan
GNSS and SAR Signal Delay in Perturbed Ionospheric D-Region During Solar X-Ray Flares

We investigate the influence of the perturbed (by a solar X-ray flare) ionospheric D-region on the global navigation satellite systems (GNSS) and synthetic aperture radar (SAR) signals. We calculate a signal delay in the D-region based on the low ionospheric monitoring by very-low-frequency (VLF) radio waves. The results show that the ionospheric delay in the perturbed D-region can be important and, therefore, should be taken into account in modeling the ionospheric influence on the GNSS and SAR signal propagation and in calculations relevant for space geodesy. This conclusion is significant because numerous existing models ignore the impact of this ionospheric part on the GNSS and SAR signals due to its small electron density which is true only in quiet conditions and can result in significant errors in space geodesy during intensive ionospheric disturbances.
A Multilevel Information Fusion-Based Deep Learning Method for Vision-Based Defect Recognition

Vision-based defect recognition is an important technology to guarantee quality in modern manufacturing systems. Deep learning (DL) becomes a research hotspot in vision-based defect recognition due to outstanding performances. However, most of the DL methods require a large sample to learn the defect information. While in some real-world cases, it is difficult and costly for data collecting, and only a small sample is available. Generally, a small sample contains less information, which may mislead the DL models so that they cannot work as expected. Therefore, this requirement impedes the wide applications of DL in vision-based defect recognition. To overcome this problem, this article proposes a multilevel information fusion-based DL method for vision-based defect recognition. In the proposed method, a three-level Gaussian pyramid is introduced to generate multilevel information of the defect so that more information is available for model training. After the Gaussian pyramid, three VGG16 networks are built to learn the information and the outputs are fused for the final recognition result. The experimental results show that the proposed method can extract more useful information and achieve better performances on small-sample tasks, compared with the conventional DL methods and defect recognition methods. Furthermore, the analysis results of the robustness and response time also indicate that the proposed method is robust for the noise input, and it is fast for defect recognition, which takes 13.74 ms to handle a defect image.
Two-Fingered In-Hand Object Handling Based on Force/Tactile Feedback

This article describes a set of control algorithms for in-hand object handling using a parallel jaw gripper equipped with force/tactile sensors. The control strategy is model based and relies upon the limit surface concept. The LuGre friction model is combined with the limit surface method to set up a dynamic model of soft contact. The model is exploited to estimate the relative velocity of the object with respect to the fingers, so as to control the grip force to counteract possible slipping events due to external disturbances. Force/tactile feedback, the only perception source used by the algorithms, is suitably exploited not only for safe grasping of a variety of objects with uncertain weight and inertial properties, but also for in-hand manipulation actions, like object pivoting or gripper pivoting. Since the algorithm is based on the control of the object velocity, accuracy of the desired object positioning depends on the initial grasp configuration, as well as on the accuracy of the friction model parameters. Such manipulation skills are evaluated in the execution of various pick and place tasks typical of an in-store logistic scenario.
Eyes on Phact: unraveling a Be star and its disk

Disks are a common feature in astrophysical systems. They are present in young stellar objects, cataclysmic variables, and even active galactic nuclei. Many of these disks can be well described by the α-disk formulation, that assumes the build up of the disk is regulated by the viscosity of the material, described by the a parameter called simply α. All disks in the systems cited are accretion disks: the matter on the disk is spiralling towards the central object, be it a star or a compact object such as a black hole. There is, however, a very particular case where the disk is actually decreting, built from matter expelled from the central object: Be stars. Be stars are fast rotating B type stars that, through the elusive Be phenomenon, eject mass into orbit, forming a viscous Keplerian disk. The model that best describes these objects is an α-disk modification, the Viscous Decretion Disk model (VDD), where viscosity is the main force acting on the disk once matter enters orbit. The VDD has been successfully tested by several multi-technique studies of Be stars, and is now cemented as the paradigm for these objects. With the robust framework of the VDD as bedrock, we are now able to tackle the issue of determining the fundamental parameters of these stars in novel ways using modern techniques, such as Bayesian-Monte Carlo Markov chain inference. In this work, we combine Bayesian-MCMC techniques with the state-of-the-art radiative transfer model grid BeAtlas to infer the fundamental parameters of the Be stars α Col, for which we were able to determine stellar, geometric and disk parameters using photometry, polarimetry and UV spectroscopy data. We find that α Col is a ∼ 4.66M star, very evolved, with a linear rotation rate of 0.74. The system is seen at an inclination of approximately 40◦. The disk is tenuous and has a density exponent of 2.5, less steep than what is expected by VDD theory for a stable Be star such as α Col, a result that agrees with a trend of n < 3.5 for Be stars in recent studies. The disk is also truncated at 20 Req, indicating the presence of a previous unseen, close binary companion.
Unmodeled error mitigation for single-frequency multi-GNSS precise positioning based on multi-epoch partial parameterization

In global navigation satellite system (GNSS) precise positioning, some residual systematic errors inevitably exist in GNSS observations. These residual systematic errors can be regarded as the unmodeled errors that cannot be easily mitigated by traditional parameterization, modeling or other methods, mainly due to their spatiotemporal complexity. In a multi-GNSS scenario, there are enough redundant observations to reveal the unmodeled errors to a great extent, according to the behaviors of observation residuals. However, in the case of single frequency, the first-order ionospheric delays cannot be eliminated by the ionosphere-free combination in terms of two or more carrier phases with different frequencies, thus resulting in significant unmodeled effects more frequently. We therefore propose a method for real-time mitigation of the unmodeled errors in single-frequency multi-GNSS precise positioning. The proposed method has two main aspects. First, considering the estimability and property of unmodeled error parameters, the method of multi-epoch partial parameterization is proposed. Second, an iterative procedure is given, which can be applied in real time. The experiment is conducted using a four-station network of real single-frequency and combined global positioning system (GPS) and BeiDou navigation satellite system (BDS) observations, with baseline lengths from approximately 5 to 25 km. The results show that the GPS/BDS unmodeled errors are indeed mitigated and the positioning precision is improved after using the proposed method, where the precision of the up direction can be improved by a maximum of 56.90%.
The Use of Resources during Shift Hand-offs in a Pediatric Intensive Care Unit

The nursing handoff is a fundamental aspect of continued patient care that involves the transfer of vital medical information through various means. This project qualitatively examined nursing dyads to determine the types of resources used during handoffs and their frequency through the theoretical framework of distributed cognition. Forty handoffs between nurses, with experience ranging from 3 to 40 or more years, were observed within the intensive care unit of a pediatric hospital. The findings revealed that a variety of resources were referred to and appear mildly correlated with handoff durations, where more experienced individuals displayed a greater frequency of resource use in prolonged handoffs.
Performance Improvements for a Vertical Axis Wind Turbine by Means of Gurney Flap

A numerical study was carried out to investigate the effects of a Gurney flap (GF) on the aerodynamics performance of the NACA 00 aerofoil and an associated three-blade rotor of a H-type Darrieus wind turbine. The flow fields around a single aerofoil and the vertical axis wind turbine (VAWT) rotor are studied using unsteady Reynolds-averaged Navier–Stokes equations (URANS). The height of GF ranges from 1% to 5% of the aerofoil chord length. The results show that the GF can increase the lift and lift-to-drag ratio of the aerofoil as associated with the generation of additional vortices near the aerofoil trailing edge. As a result, adding a GF can significantly improve the power coefficient of the VAWT at low tip speed ratio (TSR), where it typically gives low power production. The causing mechanism is discussed in detail, pointing to flow separation and dynamic stall delay.
Coordinated circumnavigation by multiple agents under directed topology

ABSTRACT This paper focuses on the coordinated circumnavigation problem for multiple agents with directed communication topology. All agents are required to be evenly spaced around a moving target, and orbit around it with prescribed radii and circular velocity. We divide the coordinated circumnavigation system into a cascaded system consisting of a standoff tracking subsystem and a spacing distribution subsystem. A tracking controller and an additional controller for the two subsystems are developed, respectively. The global uniform stability of the coordinated circumnavigation system is analysed using the cascaded control theory. The presented controllers render each individual agent circumnavigating the target with the desired requirements. More importantly, we show that the derived tracking controller is a general extension of existing controllers for single agent circumnavigation problem. Another feature of the proposed controllers is that the directed topology considered only needs to have a directed spanning tree. Furthermore, the proposed controllers take the velocity constraints into consideration, that is more rational for practical applications. Numerical simulations are provided to verify the effectiveness of the proposed methods.
Wave Height Field Extraction From First-Order Doppler Spectra of a Dual-Frequency Wide-Beam High-Frequency Surface Wave Radar

Ocean wave height measurement using a wide-beam high-frequency surface wave radar (HFSWR) remains challenging due to its poor spatial resolution, which significantly limits the application of such compact systems. In this article, a novel method for wave height field extraction from the first-order Doppler spectra of a dual-frequency wide-beam radar is proposed. A model relating significant wave height to the ratio of the first-order spectral powers associated with two radar frequencies is put forward and studied numerically. Through theoretical analysis and experimental validation, it is confirmed that the first-order Doppler peaks of two radar frequencies have arisen from an approximately same direction of arrival (DOA), and their amplitudes are also affected by a similar wave directional spreading. Hereby, an algorithm combining beamforming and direction finding is developed to determine the spatial distribution of the first-order spectral power ratio and derive the significant wave height field. Finally, experimental results are given to verify the algorithm. The radar-derived wave height field agrees well with that obtained using a numerical wave model. Furthermore, the radar-measured wave heights are compared with the data collected by two buoys at the distances of 12.7 and 73 km, respectively. The comparison shows that the corresponding root-mean-square errors are 0.3 and 0.5 m and the correlation coefficients are 0.85 and 0.88, respectively.