Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF WATER STRESS ON PHOTOSYNTHETIC ATTRIBUTES , MEMBRANE STABILITY AND YIELD IN CONTRASTING WHEAT GENOTYPES

The effect of water stress on physiological parameters and yield components of drought tolerant (C-306) and drought sensitive (HD 2329) wheat genotypes was investigated under pot culture conditions. The stress condition was created at tillering, anthesis and post anthesis stages by withholding water supply for a period of 8 days. Water stress reduced the net rate of photosynthesis, transpiration and stomatal conductance in both the genotypes. Internal CO2 concentration increased significantly under water stress conditions. The reduction in relative water content and membrane stability index was significantly higher in HD 2329. The chlorophyll and carotenoid content decreased whereas sugar and proline content increased under water stress in both the genotypes. Genotype C-306 registered lesser reduction in leaf area, grain number, spikelet number, 1000–grain weight and harvest index in response to water stress. HD 2329 exhibited higher grain weight per plant under optimum irrigation (control) but under water stress C-306 showed 19% more grain weight per plant. It is suggested that the drought tolerance mechanism exist in wheat genotype C-306 owing to its better management of gas exchange parameters, stomatal regulation, membrane stability, photosynthetic pigments and osmotically active metabolites, particularly at anthesis stage.
Examination of Kolmogorov's 4/5 Law by High-Resolution Direct Numerical Simulation Data of Turbulence(Electromagnetism, optics, acoustics, heat transfer, classical mechanics, and fluid mechanics)

Kolmogorov's 4/5 law is examined quantitatively by using the data of direct numerical simulations of incompressible turbulence in a periodic box with the number of grid points and the Taylor micro-scale Reynolds number 2048 3 and R λ ≈732, respectively. The examination is based on a generalization of the Karman–Howarth–Kolmogorov (KHK) equation for isotropic turbulence to anitropic turbulence. An emphasis is put on the influence of the finite Reynolds number, length-scale and the weak but finite anisotropy. The analysis of the DNS data gives a quantitative idea on the role of the viscous and forcing terms in the KHK equation. It also suggests that the anisotropy has substantial influence on the 4/5 law for a wide scale-range.
Recent advances in personal protective equipment using nanotechnology as a shield against SARS-COV-2

COVID-19 is a disease caused by the SARS-CoV-2 coronavirus, and the use of personal protective equipment (PPE) has become essential against pandemics. This has led to many advances in facial masks and other types of PPE, using nanotechnology to improve antiviral properties and filterability. In this context, this study aimed at carrying out an integrative review regarding advances in personal protective equipment using nanotechnology to improve antiviral properties against SARS-CoV-2. Thus, 34 articles were retrieved from the Web of Science, Scopus, and PubMed databases, published until August 22, 2021. The main nanostructures used were nanofibers, carbon nanotubes, metallic nanoparticles, nanorods, nanowires, graphene, and C-dots, in the use of facial masks, air filters, and antiviral surfaces with functions such as antiviral/antimicrobial, reuse of personal protective equipment (PPE), self-feeding, whether by mechanical or solar action, hydrophobicity, and filtration efficiency, adjustable to the physical biotype of each individual and high breathability.
The Impact of Binary Stars on Stellar Evolution

Any white dwarf or neutron star that accretes enough material from a red giant companion, such that this interaction can be detected at some wavelength, is currently termed Symbiotic Star (typical P(orb)=2-3 years). In the majority of ~400 known systems, the WD burns nuclearly at its surface the accreted material, and the resulting high temperature (T(eff)=10(^5)~K) and luminosity (L(hot)=10(^3)-10(^4) Lsun) allow ionization of a large fraction of the cool giant's wind, making such symbiotic stars easily recognizable through the whole Galaxy and across the Local Group. X-ray observations are now revealing the existence of a parallel (and larger ? ) population of optically-quiet, accreting-only symbiotic stars. Accretion flows and disks, ionization fronts and shock, complex 3D geometries and new evolution channels are gaining relevance and are reshaping our understanding of symbiotic stars. We review the different types of symbiotic stars currently in the family and their variegated outburst behaviors through an unified evolution scheme connecting them all.
. CORRECTING VEHICLE HEADING IN VISUAL ODOMETRY BY COMBINING KEYPOINT DETECTORS

This technical report describes a visual odometry algorithm for on-road vehicles under planar motion assumption. The algorithm uses as only input images taken by a single omnidirectional camera mounted on a vehicle. To achieve accurate motion estimation results, we combine a set of the-state-art-of-the-art keypoint detectors for the rotation and translation estimation. In particular, we use a set of features of different detectors based ground plane tracker to estimate the translation to estimate the rotation. As we show, the combination of strongest keypoints detectors to estimate the vehicle heading outperforms the pure single feature based approach. This pose estimation method has been successfully applied to videos from an automotive platform. We give an example of camera trajectory estimated purely from omnidirectional images over a distance of several meters.
Extracts of Different Organs of Macadamia Nut Tree (Macadamia Integrifolia) Ameliorate Oxidative Damage in D-Galactose Accelerated Aging Model in Rats

Macadamia nut tree, Macadamia integrifolia (Maiden & Betche), is cultivated for the production of the edible macadamia nuts, which are a good source of monounsaturated fatty acids. We investigated the effect of ethanolic extracts of leaves, nuts, and nutshells of macadamia in D-galactose accelerated aging model in rats. Administration of D-galactose (150 mg/kg) in rats for 60 days resulted in impairment of cognitive function and motor coordination and caused an increase in oxidative stress and deterioration of liver and kidney functions. Macadamia nut extract ameliorated cognitive impairment induced by D-galactose as inferred from Morris water maze test and balance test using rotarod. Also, nut extract was superior to leaves and shell extract in reducing serum levels of malondialdehyde (50%), alanine transaminase (63%), aspartate transaminase (63%), total bilirubin (24%), creatinine (38%), and urea (16%) compared to animals that received no treatment. Chemical analysis showed that macadamia nut extract has a high percentage of oleic acid (81%) followed by palmitoleic acid (6.9%). This study encourages further investigation of the health benefits of macadamia nuts and the underlying mechanism of these effects.
Modelling Properties of Services

Information technology is the core enabler for global businesses and integrated, virtual enterprises that achieve common business goals. This integration can be supported or even automated and service-oriented computing offers a promising approach to achieve these goals. This paper argues that a key aspect is publishing standardized services descriptions in a formal, computer-readable way. Furthermore, the paper introduces a model for enriched service description allowing to characterize services modelling their properties. This model will be related to a general service model and to Service Level Agreements.
Development of the “Applied Proteomics” Concept for Biotechnology Applications in Microalgae: Example of the Proteome Data in Nannochloropsis gaditana

Most of the marine ecosystems on our planet are still unknown. Among these ecosystems, microalgae act as a baseline due to their role as primary producers. The estimated millions of species of these microorganisms represent an almost infinite source of potentially active biocomponents offering unlimited biotechnology applications. This review considers current research in microalgae using the “omics” approach, which today is probably the most important biotechnology tool. These techniques enable us to obtain a large volume of data from a single experiment. The specific focus of this review is proteomics as a technique capable of generating a large volume of interesting information in a single proteomics assay, and particularly the concept of applied proteomics. As an example, this concept has been applied to the study of Nannochloropsis gaditana, in which proteomics data generated are transformed into information of high commercial value by identifying proteins with direct applications in the biomedical and agri-food fields, such as the protein designated UCA01 which presents antitumor activity, obtained from N. gaditana.
Objectively Measured Physical Activity in European Adults : Cross-Sectional Findings from the Food 4 Me Study

Marsaux, C. F. M. , Celis­Morales, C. , Hoonhout, J., Claassen, A. , Goris, A. , Forster, H. , Fallaize, R. , Macready, A. L. , Navas­ Carretero, S. , Kolossa, S. , Walsh, M. C. , Lambrinou, C. ­P., Manios, Y. , Godlewska, M. , Traczyk, I. , Lovegrove, J. A. , Martinez, J. A. , Daniel, H. , Gibney, M. , Mathers, J. C. and Saris, W. H. M. (2016) Objectively measured physical activity in European adults: cross­sectional findings from the Food4Me study. PLoS ONE, 11 (3). e0150902. ISSN 1932­6203 doi: https://doi.org/10.1371/journal.pone. 0150902 Available at http://centaur.reading. ac.uk/63620/
A comparison of the kinetics of the CO-CO 2 reaction with steelmaking and copper making slags

The reaction of iron oxide in the liquid state with solid carbon or carbon dissolved in iron has had increasing attention paid to it in recent years. The reaction is the basis of iron or semi-steel production in the new generation of ironmaking processes, also called ‘Direct Smelting’. The reaction also plays a major role in increasing the efficiency of the electric arc furnace by slag foaming. In addition, in modern copper making processes, at the ‘slag cleaning’ stage, reduction of magnetite in the slag with carbon is employed to lower viscosity of slag. With more fluidity, separation of entrapped matte and metal from slag is facilitated. Because of the practical importance of the reaction, a considerable number of studies have been reported on both fundamentals and applied aspects of reaction of iron oxide in the liquid state with carbon. It has been demonstrated1–5 that the reaction proceeds through an intermediate gas layer around carbon particles. This layer is mostly comprised of CO and CO2. The overall reaction involves the following individual steps in series1–4: Diffusion of FeOx (Fe+2/Fe+3 and O-2 ions) from the bulk slag to the slag-gas interface; Interfacial chemical reaction at the slag-gas interface,
Charge-Line Dual-FET High-Repetition-Rate Pulsed Laser Driver

Most modern pulsed laser systems require versatile laser diode drivers. A state-of-the-art pulsed laser driver should provide precise peak power regulation, high repetition rate, and pulse duration control. A new, charge line dual-FET transistor circuit structure was developed to provide all these features. The pulsed modulation current is adjustable up to Imax = 1.2 A, with the laser diode forward voltage acceptable up to UF max = 20 V. The maximum repetition rate is limited by a charge line circuit to frep max = 20 MHz. Compared to the conventional single transistor drivers, the solution proposed in this paper allows a precise, high resolution width regulation to be obtained, whereas a low pulse jitter is ensured. In the solution, two separate, out-of-phase signals are used to trigger the individual Field Effect Transistors (FET). The resultant pulsed modulation current full-width-at-half-maxima (FWHM) is regulated from ~200 ps up to 2 ns. All control and timing signals are generated with a popular Field-Programmable Gate Array (FPGA) digital circuitry. The use of standard FPGA devices ensures the low cost and high reliability of the circuit, which are not available in laser drivers consisting of sophisticated analogue adjustable delay circuits.
Evidence of Idiosyncratic Seasonality in ETFs Performance

Studies of the seasonality of ETFs are relatively scarce compared with other financial assets. Moreover, most of the existing literature on ETFs did not assess the seasonality patterns of risk-adjusted returns and tracking error. This article seeks to suppress some of these gaps. The results provide evidence of a first-half of the year effect (higher returns), an outperformance of the second quarter and an underperformance of the fourth quarter compared with the remaining quarters, and higher (lower) returns in the first (third) month of the quarter vs the other months of the quarter. Furthermore, April exhibits a superior and December an inferior performance compared with the remaining months. Besides, higher (lower) returns on Wednesdays (Fridays) were observed compared with the other weekdays. Regarding the tracking error, some seasonal patterns are also reported. For example, the replication was more accurate in April than it was in remaining months and in the first month of each quarter. Finally, the effects detected in ETFs returns were not reflected in indices returns, with the exception of the April effect, indicating that the main seasonality patterns detected are caused by idiosyncratic ETFs factors and not to the constituents of the underlying indices.
Image Retrieval using Visual Phrases

Keypoint based descriptors are widely used for various computer vision applications. During this process, key-points are initially detected from the given images which are later represented by some robust and distinctive descriptors like scale-invariant feature transform (SIFT). Keypoint based image-to-image matching has gained significant accuracy for image retrieval type of applications like image copy detection, similar image retrieval and near duplicate detection. Local keypoint descriptors are quantized into visual words to reduce the feature space which makes image-to-image matching possible for large scale applications. Bag of visual word quantization makes it efficient at the cost of accuracy. In this paper, the bag of visual word model is extended to detect frequent pair of visual words which is known as frequent item-set in text processing, also called visual phrases. Visual phrases increase the accuracy of image retrieval without increasing the vocabulary size. Experiments are carried out on benchmark datasets that depict the effectiveness of proposed scheme.
Reduction of cogging torque and electromagnetic vibration based on different combination of pole arc coefficient for interior permanent magnet synchronous machine

2096-3564 © 2021 CES  Abstract—Cogging torque and electromagnetic vibration are two important factors for evaluating permanent magnet synchronous machine (PMSM) and are key issues that must be considered and resolved in the design and manufacture of high-performance PMSM for electric vehicles. A fast and accurate magnetic field calculation model for interior permanent magnet synchronous machine (IPMSM) is proposed in this article. Based on the traditional magnetic potential permeance method, the stator cogging effect and complex boundary conditions of the IPMSM can be fully considered in this model, so as to realize the rapid calculation of equivalent magnetomotive force (MMF), air gap permeance, and other key electromagnetic properties. In this article, a 6-pole 36-slot IPMSM is taken as an example to establish its equivalent solution model, thereby the cogging torque is accurately calculated. And the validity of this model is verified by a variety of different magnetic pole structures, pole slot combinations machines, and prototype experiments. In addition, the improvement measure of the machine with different combination of pole arc coefficient is also studied based on this model. Cogging torque and electromagnetic vibration can be effectively weakened. Combined with the finite element model and multi-physics coupling model, the electromagnetic characteristics and vibration performance of this machine are comprehensively compared and analyzed. The analysis results have well verified its effectiveness. It can be extended to other structures or types of PMSM and has very important practical value and research significance.
How Indonesians Cope with Chronic Pain: Does Seeking Help and Comfort from God Work?

Chronic pain is a significant health problem in many countries including Indonesia, with high prevalence and the possibility to increase in the future. Individuals experiencing chronic pain elicit cognitive and behavioral responses, including pain catastrophizing which can cause high pain interference. Effective coping ability can help reduce the impact of pain catastrophizing on pain interference. Previous research focused on emotion-focused and problem-focused coping in dealing with chronic pain. However, Indonesia as a country with a strong influence from religious values and practices encourages the exploration of positive religious coping. A part of a longitudinal study on psychological factors in chronic pain development, this study aimed to examine the moderating role of three coping styles on pain catastrophizing and pain interference associations. Results from 368 participants male and female with chronic pain showed that positive religious coping and problem-focused coping significantly moderated the effects of pain catastrophizing on pain interference. Seeking help from God helped individuals deal with chronic pain problems, as well as actively resolving difficulties. The use of these two coping styles in the Indonesian population can be useful for managing chronic pain.
Personalization of the collaborator recommendation system in multi‐layer scientific social networks: A case study of ResearchGate

The development of knowledge sharing platforms, like scientific social networks encourages researchers to establish international collaboration in scientific projects. After reviewing the previous methods for collaborator detection in social networks, gaps in the earlier models are investigated, and the present study aims at filling the gaps by introducing a new scientific collaborator recommendation system. Accordingly, in the present paper, an integrated model is presented based on multilayer networks that can personalize the proposing scientific collaborators. Our proposed model involves various types of collaboration features based on researchers' needs. In our method a scientific social network is modelled as a multi‐relational network (MRN), in which collaborators are determined by a community detection algorithm. It provides us with an approach to integrate the personalized features into the collaborator detection model that is due to the essence of semi‐supervisory learning of our community detection algorithm. This MRN helps us prevent information loss in the network. We considered two techniques for examining the models. The first one was General Collaborator Recommendation, and the second one was a Collaborator with Personalization Ability. The proposed method is applied to the data of the ResearchGate (RG) social network and is evaluated by criteria, such as F index and NMI.
Dissimilarity Coefﬁcient based Weakly Supervised Object Detection - Supplementary Material

In this section we provide detailed derivation of the objective function presented in Section 4.2 of the paper. Given the loss function ∆ (equation (6) of main paper), which is tuned for the task of object detection, we compute the diversity terms as given in equation (7) of the main paper. Recall that the diversity for any two distributions is the expected loss of the samples drawn from the two distributions. For the prediction distribution Prp and the conditional distribution Prc, we derive the diversity between them and their self diversities as follows.
An Approximate Aggregated Impedance Model of a Grid-Connected Wind Farm for the Study of Small-Signal Stability

In this paper, an approximate aggregated impedance model (AAIM) of a grid-connected wind farm with multiple wind turbine generators (WTGs) for the small-signal stability study is derived. The derivation is conducted under the condition that the WTGs inside the wind farm are of the same type and from the same manufacturer. The AAIM derived can be seen as the impedance model (IM) of a grid-connected aggregated WTG. The IM of the aggregated WTG is the weighted average of the IMs of the individual WTGs in the wind farm and hence is simple to be built. The reactance of the line connecting the aggregated WTG to the external AC grid is the maximum eigenvalue of the network reactance matrix of the grid-connected wind farm. In addition, the derivation justifies the representation of a wind farm by an aggregated WTG in the IM-based small-signal stability analysis. Finally, two example grid-connected wind farms are used to evaluate and demonstrate the effectiveness of the AAIM proposed in the small-signal stability analysis. It is also shown that the computational burden of the stability analysis of a large-scale wind farm could be effectively reduced when the AAIM is used.
Import Price and Activity Elasticities for the MONASH Model: Johansen FIML Estimation of Cointegration Vectors

This study investigates the relationship between manufactured import flows to Australia and relative prices and domestic economic activity over the period 1981Q3 to 1992Q2. This is done through the estimation of import demand functions for total manufactured imports and 29 import product categories defined at the 2-digit level of the AICC by employing the Johansen FIML procedure. The price and activity elasticities will form part of the elasticity files of the MONASH Model, currently being developed at the Centre of Policy Studies. The price elasticities range from 0.24 to 1.75, with a weighted-average of 0.60. We also find evidence of upward bias in price elasticity estimates when an aggregate import function is employed in a context where variation in prices of individual products are negatively correlated with their price elasticities, and when a significant portion of imports are subject to quantitative restrictions (QRs). The unit activity elasticity hypothesis was accepted for one third of our sample. The majority of activity elasticities are greater than one, and usually closer to two.