Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics of yield and nutritional value for winter forage intercropping - doi: 10.4025/actascianimsci.v34i2.11507

The work was carried out to assess mass production and nutritional content of winter forages using lopsided oat (Avena strigosa) and white oat (Avena sativa) intercropped with ryegrass (Lolium multiflorum) and vetch (Vicia sativa L.). The species were intercropped as the following treatments: lopsided oat with ryegrass (LO+RG); white oat with ryegrass (CO+RG); lopsided oat with vetch (LO+V); white oat with vetch (CO+V); lopsided oat, vetch and ryegrass (LO+RG+V); and white oat, ryegrass and vetch (CO+RG+V). The study evaluated total forage mass production of each intercropping and crude protein levels, neutral detergent fiber and in vitro digestibility coefficient of dry matter. The results indicate that forage yield of oats was higher in early assessments, and ryegrass and vetch were higher in the final evaluation period. The crude protein levels and neutral detergent fiber were higher at the start of the experiment for all evaluated treatments, and those including vetch intercropped with oats showed an increase in these parameters in the final period due to the presence of vetch, which has a more delayed cycle.
‘Perfectly disordered’ medium as a model for the description of micro-inhomogeneous mixtures

The correct description of the macroscopic (overall) physical properties of micro-inhomogeneous (composite) materials by micro-mechanics methods (the self-consistent schemes, for example) requires information about the microstructure and texture of such materials. Often, such information (of shapes inhomogeneities and peculiarities of their spatial distribution) is not available. In this paper, we suggest a method of calculation of the characteristics of micro-inhomogeneous materials that could be applied to a wide class of isotropic materials. This method assumes the absence of a closed order in the material microstructure (a ‘perfectly disordered’ (PD) medium). We used the PD approximation to predict the effective thermo- and poroelastic, electric and thermal properties of micro-inhomogeneous media. The expressions for the effective characteristics obtained by this method are always inside of the Hashin–Shtrikman universal bounds. For a two-phase material with fluid component, the effective bulk module satisfies Gassmann's relation for fluid-filled porous media and generalizes such a relation to inhomogeneous thermoelastic and poroelastic media. A comparison of the theoretical results with available experimental data shows a satisfactory coincidence even in the case of high contrast of the component properties. The simplicity of the numerical realization of the method makes it attractive for applications in the absence of detailed information about the material's microstructure.
Circular Photogalvanic Effect in the Weyl Semimetal TaAs

Weyl semimetal (WSM) is expected to be an ideal spintronic material owing to its spin currents carried by the bulk and surface states with spin-momentum locking. The generation of a sizable photocurrent is predicted in non-centrosymmetric WSM arising from the broken inversion symmetry and the linear energy dispersion that is unique to Weyl systems. In our recent measurements, the circular photogalvanic effect (CPGE) is discovered in the TaAs WSM. The CPGE voltage is proportional to the helicity of the incident light, reversing direction if the radiation helicity changes handedness, a periodical oscillation therefore appears following the alteration of light polarization. We herein attribute the CPGE to the asymmetric optical excitation of the Weyl cone, which could result in an asymmetric distribution of photoexcited carriers in momentum space according to an optical spin-related selection rule.
Notes on Ding-Iohara algebra and AGT conjecture (可積分系数理の多様性--RIMS研究集会報告集)

We study the representation theory of the Ding-Iohara algebra $\calU$ to find $q$-analogues of the Alday-Gaiotto-Tachikawa (AGT) relations. We introduce the endomorphism $T(u,v)$ of the Ding-Iohara algebra, having two parameters $u$ and $v$. We define the vertex operator $\Phi(w)$ by specifying the permutation relations with the Ding-Iohara generators $x^\pm(z)$ and $\psi^\pm(z)$ in terms of $T(u,v)$. For the level one representation, all the matrix elements of the vertex operators with respect to the Macdonald polynomials are factorized and written in terms of the Nekrasov factors for the $K$-theoretic partition functions as in the AGT relations. For higher levels $m=2,3,. $, we present some conjectures, which imply the existence of the $q$-analogues of the AGT relations.
Interacting ghost dark energy models with variable G and Λ

In this paper we consider several phenomenological models of variable Λ. Model of a flat Universe with variable Λ and G is accepted. It is well known, that varying G and Λ gives rise to modified field equations and modified conservation laws, which gives rise to many different manipulations and assumptions in literature. We will consider two component fluid, which parameters will enter to Λ. Interaction between fluids with energy densities ρ1 and ρ2 assumed as Q = 3Hb(ρ1+ρ2). We have numerical analyze of important cosmological parameters like EoS parameter of the composed fluid and deceleration parameter q of the model.
Pull-in dynamics of overdamped microbeams

We study the dynamics of MEMS microbeams undergoing electrostatic pull-in. At DC voltages close to the pull-in voltage, experiments and numerical simulations have reported ‘bottleneck’ behaviour in which the transient dynamics slow down considerably. This slowing down is highly sensitive to external forces, and so has widespread potential for applications that use pull-in time as a sensing mechanism, including high-resolution accelerometers and pressure sensors. Previously, the bottleneck phenomenon has only been understood using lumped mass-spring models that do not account for effects such as variable residual stress and different boundary conditions. We extend these studies to incorporate the beam geometry, developing an asymptotic method to analyse the pull-in dynamics. We attribute bottleneck behaviour to critical slowing down near the pull-in transition, and we obtain a simple expression for the pull-in time in terms of the beam parameters and external damping coefficient. This expression is found to agree well with previous experiments and numerical simulations that incorporate more realistic models of squeeze film damping, and so provides a useful design rule for sensing applications. We also consider the accuracy of a single-mode approximation of the microbeam equations—an approach that is commonly used to make analytical progress, without systematic investigation of its accuracy. By comparing to our bottleneck analysis, we identify the factors that control the error of this approach, and we demonstrate that this error can indeed be a very small.
Multi-View Object Detection Based on Deep Learning

A multi-view object detection approach based on deep learning is proposed in this paper. Classical object detection methods based on regression models are introduced, and the reasons for their weak ability to detect small objects are analyzed. To improve the performance of these methods, a multi-view object detection approach is proposed, and the model structure and working principles of this approach are explained. Additionally, the object retrieval ability and object detection accuracy of both the multi-view methods and the corresponding classical methods are evaluated and compared based on a test on a small object dataset. The experimental results show that in terms of object retrieval capability, Multi-view YOLO (You Only Look Once: Unified, Real-Time Object Detection), Multi-view YOLOv2 (based on an updated version of YOLO), and Multi-view SSD (Single Shot Multibox Detector) achieve AF (average F-measure) scores that are higher than those of their classical counterparts by 0.177, 0.06, and 0.169, respectively. Moreover, in terms of the detection accuracy, when difficult objects are not included, the mAP (mean average precision) scores of the multi-view methods are higher than those of the classical methods by 14.3%, 7.4%, and 13.1%, respectively. Thus, the validity of the approach proposed in this paper has been verified. In addition, compared with state-of-the-art methods based on region proposals, multi-view detection methods are faster while achieving mAPs that are approximately the same in small object detection.
High order DBR GaSb based single longitude mode diode lasers at 2 μm wavelength

The GaSb-based distributed Bragg reflection (DBR) diode laser with 23rd-order gratings have been fabricated by conventional UV lithography and inductively coupled plasma (ICP) etching. The ICP etching conditions were optimized and the relationship among etching depth, duty ratio and side-mode suppression ratio (SMSR) was studied. The device with a ridge width of 100 μm, gratings period of 13 μm and etching depth of 1.55 μm as well as the duty ratio of 85% was fabricated, its maximum SMSR reached 22.52 dB with uncoated cavity facets under single longitudinal operation mode at room temperature.
Dirac gaugino as leptophilic dark matter

We investigate the leptophilic properties of Dirac gauginos in an R-symmetric N=2 supersymmetric model with extended gauge and Higgs sectors. The annihilation of Dirac gauginos to leptons requires no chirality flip in the final states so that it is not suppressed as in the Majorana case. This implies that it can be sizable enough to explain the positron excess observed by the PAMELA experiment with moderate or no boost factors. When squark masses are heavy, the annihilation of Dirac gauginos to hadrons is controlled by their Higgsino fraction and is driven by the hZ and W+W− final states. Moreover, at variance with the Majorana case, Dirac gauginos with a non-vanishing Higgsino fraction can also have a vector coupling with the Z gauge boson leading to a sizable spin-independent scattering cross section off nuclei. Saturating the current antiproton limit, we show that Dirac gauginos can leave a signal in direct detection experiments at the level of the sensitivity of dark matter searches at present and in the near future.
The Binary String-to-String Correction Problem

String-to-String Correction is the process of transforming some mutable string M into an exact copy of some other string (the target string T), using a shortest sequence of well-defined edit operations. The formal STRING-TO-STRING CORRECTION problem asks for the optimal solution using just two operations: symbol deletion, and swap of adjacent symbols. String correction problems using only swaps and deletions are computationally interesting; in his paper On the Complexity of the Extended String-to-String Correction Problem (1975), Robert Wagner proved that the String-to-String Correction problem under swap and deletion operations only is NP-complete for unbounded alphabets. In this thesis, we present the first careful examination of the binary-alphabet case, which we call Binary String-to-String Correction (BSSC). We present several special cases of BSSC for which an optimal solution can be found in polynomial time; in particular, the case where T and M have an equal number of occurrences of a given symbol has a polynomial-time solution. As well, we demonstrate and prove several properties of BSSC, some of which do not necessarily hold in the case of String-to-String Correction. For instance: that the order of operations is irrelevant; that symbols in the mutable string, if swapped, will only ever swap in one direction; that the length of the Longest Common Subsequence (LCS) of the two strings is monotone nondecreasing during the execution of an optimal solution; and that there exists no correlation between the effect of a swap or delete operation on LCS, and the optimality of that operation. About a dozen other results that are applicable to Binary String-to-String Correction will also be presented. iii Contents Supervisory Committee ii Abstract iii Table of Contents iv List of Tables vi List of Figures vii Acknowledgements ix Dedication xi 1 Introduction 1 1.
Discrete Lagrangian systems on the Virasoro group and Camassa–Holm family

We show that the continuous limit of a wide natural class of the right-invariant discrete Lagrangian systems on the Virasoro group gives the family of integrable PDEs containing Camassa–Holm, Hunter–Saxton and Korteweg–de Vries equations. This family has been recently derived by Khesin and Misiołek as Euler equations on the Virasoro algebra for H1α,β-metrics. Our result demonstrates a universal nature of these equations.
Phenomenology of WIMPy baryogenesis models

A possible connection between the abundances of baryonic and dark matter (DM) has been explored so far mostly in the context of the so-called asymmetric DM. Recently, a very different mechanism, dubbed ``WIMPy baryogenesis'', has been proposed to relate the baryon asymmetry to DM annihilation. The DM candidate is a weakly interacting massive particle (WIMP), and the usual WIMP scenario is slightly extended to accommodate baryogenesis, which is accomplished around the time of DM freeze-out. We construct an effective field theory that encompasses a quite general class of models which implement the WIMPy baryogenesis. Under some reasonable, simplifying assumptions, we show that a good portion of the parameter space is allowed for these models, after experimental constraints are taken into account. Bounds from the LHC require that the WIMP be heavier than 400 GeV.
COMPACT UWB MIMO ANTENNA WITH METAMATERIAL-INSPIRED ISOLATOR

In this paper, a dual-band complementary split ring resonator (C-SRR) is used to improve the band-notch effect relative to the traditional SRR. Meanwhile, we employ a brand-new SRR unit cell as an isolator for decoupling among multiple bands without enlarging the dimensions of the multiple-input-multiple-output (MIMO) antenna. Therefore, a compact ultra-wideband MIMO antenna is developed. Compared with the previous work, the proposed MIMO antenna also has obvious advantages such as high isolation and miniaturization (the dimensions are only 13.5mm × 34mm). The metamaterial-inspired UWB MIMO antenna presented here is suitable for small scaled mobile devices.
Implementation of fuzzy logic controller for load frequency control in two area power system

Currently as there has been an increase in the interconnected systems as far as power systems are concerned. Load as well as power flow in tie-line are varying dynamically. So there is a need of robust control of system frequency as well as tie-line power flow system. This robust control could be achieved by the help of fuzzy logic controllers in the place of orthodox system using proportional, PI and PID controllers. This is due to fact that gain constants in the case of conventional controllers remain same throughout, for changes in the load value. But Load can’t be the same throughout, load deviates from time to time. So as to get rid of these disadvantages related to conventional controllers, a lot many schemes have been put forth in literature. With regard to this work, fuzzy logic base controller has been considered for problems pertaining to load frequency control. There queried rules are carried out with respect to the variation in load to diminish the error. In fuzzy logic controller, we take the help of triangular membership function in the formulation of the rule base, because triangular membership function gives easy way to make the rule base compared to other membership functions. Then simulation is done by using Matlab/Simulink software.
The Lyman-α forest in three dimensions: measurements of large scale flux correlations from BOSS 1st-year data

Using a sample of approximately 14,000 z > 2.1 quasars observed in the first year of the Baryon Oscillation Spectroscopic Survey (BOSS), we measure the three-dimensional correlation function of absorption in the Lyman-α forest. The angle-averaged correlation function of transmitted flux (F = e−τ) is securely detected out to comoving separations of 60 h−1Mpc, the first detection of flux correlations across widely separated sightlines. A quadrupole distortion of the redshift-space correlation function by peculiar velocities, the signature of the gravitational instability origin of structure in the Lyman-α forest, is also detected at high significance. We obtain a good fit to the data assuming linear theory redshift-space distortion and linear bias of the transmitted flux, relative to the matter fluctuations of a standard ΛCDM cosmological model (inflationary cold dark matter with a cosmological constant). At 95% confidence, we find a linear bias parameter 0.16 < b < 0.24 and redshift-distortion parameter 0.44 < β < 1.20, at central redshift z = 2.25, with a well constrained combination b(1+β) = 0.336±0.012. The errors on β are asymmetric, with β = 0 excluded at over 5σ confidence level. The value of β is somewhat low compared to theoretical predictions, and our tests on synthetic data suggest that it is depressed (relative to expectations for the Lyman-α forest alone) by the presence of high column density systems and metal line absorption. These results set the stage for cosmological parameter determinations from three-dimensional structure in the Lyman-α forest, including anticipated constraints on dark energy from baryon acoustic oscillations.
Soft Sensors for Kerosene Properties Estimation and Control in Crude Oil Unit

Neural network-based soft sensors are developed for kerosene properties estimation, a refinery crude distillation unit side product. Based on temperature and flow measurements two soft sensors serve as the estimators for the kerosene distillation end point (95 %) and freezing point. Soft sensor models are developed using linear regression techniques and neural networks. After performing multiple linear regression analysis it is determined that it is not possible to realize linear models. Within MLP neural networks the number of neurons in the hidden layer are varied and different learning algorithms are used (back propagation with variations of learning rate and momentum, conjugate gradient descent, Levenberg-Marquardt) as well as prunning and Weigend regularization techniques. Bootstrap resampling with replacement and Cross validation resampling are used for improving generalization capabilities. Statistics and sensitivity analysis is provided for both models. Two developed soft sensors will be used in crude-oil unit as on-line estimators of kerosene properties which so far were available only as infrequent and irregular laboratory analyzes. The neural networks are trained by the adaptive gradient method using cascade learning. Research results show possibilities of applying soft sensors for refinery product quality estimation and inferential control as an alternative for process analyzers and laboratory assays.
Leveraging Social Data for Hate Speech Classification

Through the rapid development that takes place on the Internet, hate speech is additionally spreading. We get it and take a see at the ways in which we have been inquired about through online modified strategies to dismiss the speech’s substance location. Among these challenges are subtleties of dialect, different definitions of what incorporates upsetting talk, and states of getting to data to plan and test these systems. Other than, a few outstanding strategies test the pathogenic impacts of the issue of decoding capacity - that’s, it is exceptionally troublesome to get it why outlines are set to the alternatives that in this paper we examine the innovation to uncover despise discourse on social media. We point to execute supervised classification technologies using a newly released data set described for this purpose. As features, our systems use many models Naive Bayes, Support Vector Machine (SVM), Neural Network. We get results with high accuracy in identifying posts in four categories. The results show that the main challenge lies in random profanity and hate speech from each other. Our proposed approach outperforms all modern methods with a significant increase in accuracy.
Biomechanical loads in rugby union tackling are affected by tackle direction and impact shoulder

Approximately 25% of Rugby Union injuries occur to players executing a tackle and they mostly involve upper-body regions. We designed novel tackle simulator to investigate upper-body loading under different tackling conditions: direction of approach and side of body used. Dominant shoulder tackles in the frontal direction generated the highest impact forces, 5.3 ± 1.0 kN (15% higher than non-dominant) and the lowest range of neck flexion (20% lower than non-dominant) at impact. Impact load decreased going from frontal to diagonal (-3%) and lateral tackling (-10%). The lowest peak head acceleration and angular velocity resulted from diagonal tackles with the dominant shoulder. For injury prevention, the tackler should approach from an offset angle from frontal and coaching should aim to reduce the deficiencies in tackling technique on the non-dominant side.
Microbial Community Analysis of Aquatic Gliding Bacteria (Cytophaga-Flavobacterium-Bacteroides) by Fluorescence In Situ Hybridization (FISH)

16S rRNA-targeted oligonucleotide probes for the specific detection of the phylum Cytophaga-Flavobacterium-Bacteroides (CFB) were designed and used to monitor the distribution of gliding bacteria in marine specimens from Songkhla lake. The probes were checked for their specificity and then validated using fluorescent in situ hybridization (FISH) with target microorganisms and non-target microorganisms. Tenacibaculum mesphilum , Rapidithrix thailandica , Aureispira marina , Aureispira maritima , Fulvivirga kasyanovii , and Cytophaga sp . were detected with the probe, and hybridization percentage was less than 50 % for all 6 probes tested. Plant material contained between 8.3×10 9 to 7.4×10 10 cells ml -1 , seagrass contained between 6.4×10 10 to 6.8×10 10 cells ml -1 , biofilms contained between 2.1×10 9 to 4.6×10 11 cells ml -1 , dead fish contained between 1.9×10 10 to 2.6×10 10 cells ml -1 , seaweed contained between 1.3×10 10 to 1.8×10 10 cells ml -1 and sponge contained 2.9×10 10 cells ml -1 . Members of the Cytophaga-Flavobacterium group were found in some marine specimens, and biofilm samples, except for SK9 and SK11, and usually formed the largest bacterial group in the marine specimens. The medians of the relative abundances and the absolute cell numbers of the alpha-subclass Proteobacteria detected with the probe ALF1b were significantly higher in the marine samples, except for SK7, SK9, and SK11. The results showed the good applicability of the probes TENA, RAP, AUNA, AUMA, FUL, and CYTO for the specific detection and quantification of T. mesphilum, R. thailandica, A. marina, A. maritima, F. kasyanovii , and Cytophaga sp. in complex environments.