Miracle-dz/UniFAR-FTUs huggingface dataset:
Drought tolerant bacterial endophytes with potential plant probiotic effects from Ananas comosus

Endophytic bacteria with multi-trait plant probiotic features have been demonstrated to have applications to enhance agricultural productivity by supporting the plant growth, yield and disease resistance under harsh environmental conditions. The xerophytic plant Ananas comosus was selected as the source for endophytic bacterial isolation in the current study. This has resulted in the identification of organisms with antifungal and plant growth promoting properties. Interestingly, endophytic bacteria with antifungal activity were found to have drought tolerance property also. These organisms were demonstrated to express the plant beneficial mechanisms like IAA, ACC deaminase and nitrogen fixation under drought condition. The selected organisms were further identified as Bacillus sp. (Acb9), Providencia sp. (Acb11), Staphylococcus sp. (Acb12), Staphylococcus sp. (Acb13) and Staphylococcus sp. (Acb14)(Acb 14). In addition, LC-MS/MS analysis of extract from Acb 9 has resulted in the identification of surfactin with m/z of 994. Priming of selected endophytes with Vigna radiata seedlings also showed enhanced growth parameters such as shoot length, root length and root numbers when compared to the control. The shoot length of Acb 9 treatment was found to be 18.833 ± 0.687 cm, where the control value for same was 13.976 ± 0.585 cm and the root length was 3.9 ± 0.99 when compared to control (1.54 ± 0.628). The root length was 3.9±0.99 which was also higher than control (1.54±0.62). The results of the study indicate the promise of endophytic bacteria for field application under changing agro-climatic conditions.
A flexible approach for multivariate mixed-effects models with non-ignorable missing values

We propose a flexible model approach for the distribution of random effects when both response variables and covariates have non-ignorable missing values in a longitudinal study. A Bayesian approach is developed with a choice of nonparametric prior for the distribution of random effects. We apply the proposed method to a real data example from a national long-term survey by Statistics Canada. We also design simulation studies to further check the performance of the proposed approach. The result of simulation studies indicates that the proposed approach outperforms the conventional approach with normality assumption when the heterogeneity in random effects distribution is salient.
Globular cluster giant branches and the metallicity scale

Using the data base of Frogel, Persson, and Cohen and our earlier work, we derive characteristic parameters that describe the systematic behavior of the giants in each of 33 globular clusters. The globular cluster giant branches form a strictly homologous sequence in the H-R diagram, and their ordering correlates well with the metallicity scale published by Zinn. Nevertheless, when the giant branch parameters are used to define a metallicity ranking scheme, it appears that the Zinn abundance scale systematically underestimates the metallicity of clusters with exceptionally blue horizontal branches. The observed luminosities of the brightest giant in each cluster agree with the theoretical core helium flash luminosity; the small dispersion of these luminosities implies that at a given metallicity the intrinsic scatter in the absolute magnitude of horizontal-branch stars is less than 0.1 mag. The mean CO index increases as metallicity increases; analysis of the residuals from the mean relationships both of CO and of horizontal-branch type against metallicity imply that the CO abundance is unrelated to the second parameter problem. All metal-rich clusters with an adequate sample of stars show a spread in CO within each cluster comparable to that seen in 47 Tue. Metal-poor clusters which exhibit a large star to star spread in CO are NGC 362, 2808, and 6656. The integrated light measurements of (F - Æf) 0 and CO published by Aaronson and colleagues correlate with the cluster parameters determined from measurements of individual stars in a manner that can be predicted from stellar evolutionary calculations for old populations. The integrated light of such old systems, at least from V to K, is therefore well understood.
Asymptotic expansions for the voltage potentials with two‐dimensional and three‐dimensional thin interfaces

We derive asymptotic formulae for two‐dimensional and three‐dimensional steady state voltage potentials associated with thin conductivity imperfections having no uniform thickness. These formulae recover highly conducting inclusions and those with interfacial resistance. Our calculations are rigorous and based on layer potential techniques. Copyright © 2011 John Wiley & Sons, Ltd.
Identification of important factors influencing nonlinear counting systems

Identifying factors that exert more influence on system output from data is one of the most challenging tasks in science and engineering. In this work, a sensitivity analysis of the generalized Gaussian process regression (SA-GGPR) model is proposed to identify important factors of the nonlinear counting system. In SA-GGPR, the GGPR model with Poisson likelihood is adopted to describe the nonlinear counting system. The GGPR model with Poisson likelihood inherits the merits of nonparametric kernel learning and Poisson distribution, and can handle complex nonlinear counting systems. Nevertheless, understanding the relationships between model inputs and output in the GGPR model with Poisson likelihood is not readily accessible due to its nonparametric and kernel structure. SA-GGPR addresses this issue by providing a quantitative assessment of how different inputs affect the system output. The application results on a simulated nonlinear counting system and a real steel casting-rolling process have demonstrated that the proposed SA-GGPR method outperforms several state-of-the-art methods in identification accuracy.
The Low Energy Neurofeedback System (LENS): Theory, Background, and Introduction

SUMMARY This article presents the concepts, operations, and history of the Low Energy Neurofeedback System (LENS) approach as they are now known and as it has evolved over the past 16 years. The conceptual bases and practical operating principles as described are quite different from those in traditional neurofeedback. The LENS, as a behavioral neurofeedback application, often provides the same qualitative outcome as that in traditional neurofeedback, with reduced treatment time.
Ambegaokar-Eckern-Schon theory for a collective spin: geometric Langevin noise

Alexander Shnirman, Yuval Gefen, Arijit Saha, Igor S. Burmistrov, Mikhail N. Kiselev, Alexander Altland Institut fur Theorie der Kondensierten Materie and DFG-Center for Functional Nanostructures (CFN), Karlsruhe Institute of Technology, D-76128 Karlsruhe, Germany Department of Condensed Matter Physics, Weizmann Institute of Science, 76100 Rehovot, Israel Institut fur Nanotechnologie, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany Department of Physics, University of Basel, CH-4056 Basel, Switzerland L.D. Landau Institute for Theoretical Physics RAS, Kosygina street 2, 119334 Moscow, Russia Moscow Institute of Physics and Technology, 141700 Moscow, Russia International Center for Theoretical Physics, Strada Costiera 11, I-34014 Trieste, Italy and Institut fur Theoretische Physik, Universitat zu Koln, Zulpicher Str. 77, D-50937 Koln, Germany (Dated: September 2, 2014)
The kernel of integral cup product

Abstract We compute the kernel of cup product of 1-dimensional cohomology classes for a group G acting trivially on Z or F2, by means of the naturality of cup product and the 5-term exact sequence of low degree of a suitable LHS spectral sequence. We determine thereby when cup product is injective, and when it is null.
A Theory of Thermoviscoelastic Composites Modelled as Interacting Cosserat Continua

In this article we derive a continuum theory for a viscoelastic composite which is modelled as a mixture of a micropolar elastic solid and a micropolar Kelvin-Voigt material. The local forms of balance laws are presented in lagrangian description. Linear constitutive equations are presented for a heat conducting mixture. In contrast with the theories of solid-fluid mixtures, in the present theory the diffusive force depends on relative displacement, relative velocity, relative microrotation and relative microrotation rate.A uniqueness result is established in the context of the linear theory. Finally, the effects of a concentrated heat source are investigated.
An exact solution for a derivative nonlinear Schrödinger equation

A method of solution for the ’’derivative nonlinear Schrodinger equation’’ iqt=−qxx±i (q*q2)x is presented. The appropriate inverse scattering problem is solved, and the one‐soliton solution is obtained, as well as the infinity of conservation laws. Also, we note that this equation can also possess ’’algebraic solitons. ’’
A copula regression model for estimating firm efficiency in the insurance industry

This article considers the estimation of insurers’ cost-efficiency in a longitudinal context. The current practice ignores the tails of the cost distribution, where the most and least efficient insurers belong to. To address this issue, we propose a copula regression model to estimate insurers’ cost frontier. Both time-invariant and time-varying efficiency are adapted to this framework and various temporal patterns are considered. In our method, flexible distributions are allowed for the marginals, and the subject heterogeneity is accommodated through an association matrix. Specifically, when fitting to the insurance data, we perform a GB2 regression on insurers total cost and employ a t-copula to capture their intertemporal dependencies. In doing so, we provide a nonlinear formulation of the stochastic panel frontier and the parameters are easily estimated by likelihood-based method. Based on a translog cost function, the X-efficiency is estimated for US property-casualty insurers. An economic analysis provides evidences of economies of scale and the consistency between the cost-efficiency and other performance measures.
Applied Network Analysis

a disconcerting separation between theoretical treatments of network structure and the substantive use of network concepts. Those who develop sophisticated mathematical representations of network structure are infrequently the individuals responsible for the innovative and lasting substantive use of network concepts. This condition could change in the future. It currently is contradicted by occasional network analysts. My suspicion, however, is that the division of labor between mathematical theorists and substantive researchers is likely to deepen rather
Three-dimensional shape measurement based on light patterns projection using diffractive optical elements

We propose a structured light micro-opto electromechanical system (MOEMS) projector specially designed to display successively a set of patterns in order to extract the 3-D shape of an object using a CCD cameras module and a small ARM-based computer for control, registration and numerical analysis. This method consists in a temporal codification using a modified Gray code combined with a classical phase shifting technique. Our approach is to combine the unambiguous and robust codification of the Gray code method with the high resolution of the phase shifting method to result in highly accurate 3D reconstructions. The proposed MOEMS is based on an array of vertical-cavity surface-emitting laser (VCSEL) combined with two planar static diffractive optical elements (DOEs) arrays. DOEs masters on quartz substrate have been fabricated using photolithography therefore replication in polycarbonate is possible at low cost. The first DOE array is designed to collimate the VCSEL light (Fresnel-type element) and the second one to project the codification patterns. DOEs have been designed and fabricated by surface etching to achieve a good diffraction efficiency using four phase levels. First we introduce the MEOMS principle and the features of the different components. We present the layout design of the DOEs and describe the issues related to the micro-fabrication process. An experimental study of the topography of the DOEs is presented and discussed. We then discuss fabrication aspects including the DOEs integration and packaging.
On weak stationarity and weak isotropy of processes of convex bodies and cylinders

Generalized local mean normal measures μ z , z ∈ R d , are introduced for a nonstationary process X of convex particles. For processes with strictly convex particles it is then shown that X is weakly stationary and weakly isotropic if and only if μ z is rotation invariant for all z ∈ R d . The paper is concluded by extending this result to processes of cylinders, generalizing Theorem 1 of Schneider (2003).
Structural Equation Modeling: Foundations and Extensions (second edition)

For those researchers who are selecting a text on structural equation modeling (SEM) either for use in a graduate course or as a guide for an applied study, there are now many options from which to choose. These texts range from those that are highly foundational and technical such as Bollen (1989) and Hayduk (1987) to those that cater to an audience more desirous of an applied treatment with step-by-step instructions for available software (Byrne, 1998, 2010). David Kaplan’s second edition of Structural Equation Modeling: Foundations and Extensions clearly leans toward the former end of the continuum, with a technical treatment of basic models presented utilizing an econometric framework. Although the text is likely not as accessible to most students seeking a “how-to” book, this text clearly has a home within the community of scholars who seek to fully understand and extend the uses of the statistical tool of SEM. In the 10 chapters provided, Kaplan walks the reader deliberately through some issues faced by the researcher seeking to apply SEM in support of addressing questions in the social sciences. In chapter 1, he lays the historical foundations for latent variable analysis, reminding the reader of the importance of its background within econometrics, and highlights the modern developments within SEM that are addressed in the book. This first chapter provides a brief explanation of the conventional process in undertaking a SEM analysis and, of particular usefulness, displays a flowchart that highlights the process. Kaplan provides a motivating example from an educational context at the end of the chapter, an example that is built on occasionally throughout the text. In chapter 2, Kaplan introduces the reader to path analysis, model specification, identification (for both recursive and nonrecursive models), and fit functions used to obtain model estimates drawing on the notation introduced by Jöreskog (1973). It is in this chapter that Kaplan first introduces a concrete path analysis example with data from the National Educational Longitudinal Study of 1988 (NELS:88), an example on which he builds in subsequent chapters. This chapter contains a very nice example of the maximum likelihood estimation process. At the end of the chapter, a section on effect decomposition is provided, and although this section
Magnetic ground state of Cr in density-functional theory

We present ab initio density-functional investigations of static long-period spin-density waves (SDWs) in chromium. Calculations were performed in the local-spin-density approximation with and without the generalized-gradient approximation, using both projector-augmented wave and muffin-tin-orbital techniques. The results show that for all cases the ground state of Cr is predicted to be of commensurate antiferromagnetic order, longitudinal SDWs lead to an increased total energy. The excitation energies associated with SDW formation are within the range of thermal energies even well below the N\'eel temperature. Structural relaxation of the SDW reveals that the stress relaxation has no significant effect on the energetics of the SDW phase. A possible scenario for the origin of the observed SDW state is developed.
NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning

Recently, graph neural networks (GNNs) have achieved remarkable performance in representation learning on graph-structured data. However, as the number of network layers increases, GNNs based on the neighborhood aggregation strategy deteriorate due to the problem of oversmoothing, which is the major bottleneck for applying GNNs to real-world graphs. Many efforts have been made to improve the process of feature information aggregation from directly connected nodes, i.e., breadth exploration. However, these models perform the best only in the case of three or fewer layers, and the performance drops rapidly for deep layers. To alleviate oversmoothing, we propose a nested graph attention network (NGAT), which can work in a semi-supervised manner. In addition to breadth exploration, a k-layer NGAT uses a layer-wise aggregation strategy guided by the attention mechanism to selectively leverage feature information from the kth-order neighborhood, i.e., depth exploration. Even with a 10-layer or deeper architecture, NGAT can balance the need for preserving the locality (including root node features and the local structure) and aggregating the information from a large neighborhood. In a number of experiments on standard node classification tasks, NGAT outperforms other novel models and achieves state-of-the-art performance.
Shape diversity of the fish genus Astyanax Baird & Girard, 1854 (Teleostei, Characidae) in adjacent basins

The Neotropical region is highly diverse in fresh water teleost fishes and extends through vast regions of South America. The genus Astyanax comprises small fish found in the tributaries and ditches of the great Brazilian basins, such as the Paraná and São Francisco Rivers. This group has been ostensibly studied from a chromosomal and molecular point of view but is still involved in problems of phylogenetic location, justifying its position incertae sedis, while having a wide diversity of forms and habitats. Our study counted on the analysis of body shape variations in seven species of the genus Astyanax and in the bimaculatus, fasciatus, and scabripinnis complexes using geometric morphometrics. We obtained images of individuals from different localities in the Paraná and São Francisco River basins, delineated two-dimensional anatomical landmarks that we then subjected to the generalized Procrustes analysis, and subsequent ordination by principal component analysis and canonical variate analysis. The results showed variation between two large groups, related mainly to variations in body height, indicating the probable existence of different evolutionarily significant units morphologically shaped by the pressure of the environment with what may be incipient speciation.
Age-stage, two-sex life table of the biocontrol agent, Altica cyanea on three Ludwigia species

Altica cyanea (Weber, 1801) (Coleoptera: Chrysomelidae) is a biocontrol agent of Onagraceae rice-field weeds, Ludwigia adscendens (L.) Hara, L. parviflora Roxb. and L. octovalvis (Jacq.) Raven in India. Hence, it is relevant to study the life history traits and population growth of A. cyanea on three Ludwigia species using age-stage, two-sex life table. The nutritional and antinutritional contents from leaves of the Ludwigia species were measured to comment on the role of nutrients and antinutrients on growth, development and fecundity of A. cyanea. Total larval developmental time was the shortest on L. adscendens (17.78 ± 0.22 days), intermediate on L. parviflora (20.35 ± 0.24 days) and the longest on L. octovalvis (21.98 ± 0.24 days). Total fecundity was the highest on L. adscendens (147.22 ± 4.74 eggs/female) followed by L. parviflora (119.28 ± 4.70 eggs/female) and the lowest on L. octovalvis (89.62 ± 3.45 eggs/female). The intrinsic rate of increase (r) ranged from 0.0639 to 0.0875 d− 1, which was the lowest on L. octovalvis and the highest on L. adscendens. Population projection indicates that the population growth would be the fastest on L. adscendens and the slowest on L. octovalvis. The nutrients (lipids, amino acids and nitrogen) and antinutrients (tannins) were higher and lower, respectively, in L. adscendens than the other two Ludwigia species, which influenced faster larval development, higher adult longevity and greater fecundity of A. cyanea on L. adscendens. This study suggested that mass release of A. cyanea could be applied in biocontol program of these three Ludwigia weeds.
A vehicle re-identification algorithm based on multi-sensor correlation

Magnetic sensors can be applied in vehicle recognition. Most of the existing vehicle recognition algorithms use one sensor node to measure a vehicle‖s signature. However, vehicle speed variation and environmental disturbances usually cause errors during such a process. In this paper we propose a method using multiple sensor nodes to accomplish vehicle recognition. Based on the matching result of one vehicle‖s signature obtained by different nodes, this method determines vehicle status and corrects signature segmentation. The co-relationship between signatures is also obtained, and the time offset is corrected by such a co-relationship. The corrected signatures are fused via maximum likelihood estimation, so as to obtain more accurate vehicle signatures. Examples show that the proposed algorithm can provide input parameters with higher accuracy. It improves the average accuracy of vehicle recognition from 94.0% to 96.1%, and especially the bus recognition accuracy from 77.6% to 92.8%.
CHARACTERIZATION OF TAXONOMICALLY RELATED SOME TURKISH OAK ( QUERCUS L . ) SPECIES IN AN ISOLATED STAND : A MORPHOMETRIC

iv ÖZ . vi ACKNOWLEDGMENTS . viii TABLE OF CONTENTS . ix LIST OF TABLES . x LIST OF FIGURES . xi LIST OF ABBREVIATIONS . xiii CHAPTERS . 1
High-throughput sequencing reveals significant diversity in the gut microbiomes of humpback (Chanodichthys dabryi) and crucian carp (Carassius carassius

While the fish gut microbiome composition is important to fish health, studies of the gut microbiome of fish lag behind those of terrestrial vertebrates. Whether the microbial communities in an aquatic habitat affect the gut microbiomes of resident fish is unclear. This study investigates and compares the composition of bacterial communities in the gut of crucian carp and humpback and in the water of their habitat using high-throughput sequencing of two hypervariable regions (V3 and V4) of the 16S rRNA gene. We identified 2058 operational taxonomic units (OTUs) in the humpback, 2551 OTUs in crucian carp, and 1760 OTUs in their habitat water. 218 OTUs were common to all three bacterial communities. Linear discriminant analysis revealed multiple species that differed significantly in abundance between the communities. This study aims to improve our understanding of the influence of the aquatic habitat on fish–microbe relationships.
A Crop Model and Fuzzy Rule Based Approach for Optimizing Maize Planting Dates in Burkina Faso, West Africa

AbstractIn sub-Saharan Africa, with its high rainfall variability and limited irrigation options, the crop planting date is a crucial tactical decision for farmers and therefore a major concern in agricultural decision making. To support decision making in rainfed agriculture, a new approach has been developed to optimize crop planting date. The General Large-Area Model for Annual Crops (GLAM) has been used for the first time to simulate maize yields in West Africa. It is used in combination with fuzzy logic rules to give more flexibility in crop planting date computation when compared with binary logic methods. A genetic algorithm is applied to calibrate the crop model and to optimize the planting dates at the end. The process for optimizing planting dates results in an ensemble of optimized planting rules. This principle of ensemble members leads to a time window of optimized planting dates for a single year and thereby potentially increases the willingness of farmers to adopt this approach. The optimiz.