Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameter Estimation of Non-linear Dynamic Channel Based on UKF

The current research results of cognitive radio are too many, people have made a lot of efforts to estimate the parameters of cognitive channel. But the channel noise model in these articles is Gauss noise model, this model is different from the reality of the channel. There is a certain deviation between the research result and the actual under this condition. For this problem, in this paper, a channel model based on Colored noise model is proposed, which is based on the steady state distribution as the noise model. Realization of channel parameter estimation by UKF algorithm, After the study, it is found that UKF has better effect on the estimation of the parameters of the nonlinear dynamic channel than the other algorithms.
Coupled macro-micro modelling of the secondary melting of turbine disk superalloys

A model of the macroscopic fluid flow, heat transfer and electromagnetic effects during secondary melting was developed and coupled to microstructural feature prediction. The importance of the different driving forces on the macroscopic model was explored using the test cases of vacuum arc remelting (VAR) and electron beam button melting (EBBM) of IN718. The predictions of the surface flows and final microstructure in the EBBM process were compared to experimental results.
Structural dynamics and ssDNA binding activity of the three N-terminal domains of the large subunit of Replication Protein A from small angle X-ray scattering

The X-ray scattering technology and applications to the determination of macromolecular shapes and conformations at the SIBYLS beamline at the supported in Integrated Diffraction Analysis Technologies (IDAT) Molecular Assemblies Genes and Genomics Integrated Efficiently (MAGGIE) ABSTRACT Replication Protein A (RPA) is the primary eukaryotic ssDNA binding protein utilized in diverse DNA transactions in the cell. RPA is a heterotrimeric protein with seven globular domains connected by flexible linkers, which enable substantial inter-domain motion that is essential to its function. Small angle X-ray scattering (SAXS) experiments on two multi-domain constructs from the N-terminus of the large subunit (RPA70) were used to examine the structural dynamics of these domains and their response to the binding of ssDNA. The SAXS data combined with molecular dynamics simulations reveal substantial interdomain flexibility for both RPA70AB (the tandem high affinity ssDNA binding domains A and B connected by a 10-residue linker) and RPA70NAB (RPA70AB extended by a 70-residue linker to the RPA70N protein interaction domain). Binding of ssDNA to RPA70NAB reduces the interdomain flexibility between the A and B domains, but has no effect on RPA70N. These studies provide the first direct measurements of changes in orientation of these three RPA domains upon binding ssDNA. The results support a model in which RPA70N remains structurally independent of RPA70AB in the DNA bound state and therefore freely available to serve as a protein recruitment module.
Changes in Fe Oxidation Rate in Hydrothermal Plumes as a Potential Driver of Enhanced Hydrothermal Input to Near‐Ridge Sediments During Glacial Terminations

Recent studies have hypothesized that changes in sea level due to glacial‐interglacial cycles lead to changes in the rate of melt addition to the crust at mid‐ocean ridges with globally significant consequences. Arguably the most compelling evidence for this comes from increases in the hydrothermal component in near‐ridge sediments during glacial‐interglacial transitions. Here we explore the hypothesis that changes in ocean bottom water [O2] and pH across glacial‐interglacial transitions would lead to changes in the rate of Fe oxidation in hydrothermal plumes. A simple model shows that a several fold increase in the rate of Fe oxidation is expected at glacial‐interglacial transitions. Uncertainty in bottom water chemistry and the relationship between oxidation and sedimentation rates prevent direct comparison of the model and data. However, it appears that the null hypothesis of invariant hydrothermal vent fluxes into ocean bottom water that changed in O2 content and pH across these transitions cannot currently be discounted.
Electrochemical Determination of Cibacron Red FN-R at Glassy Carbon Electrode

The electrochemical oxidation of c ibacron red FN - R (CB) has been studied by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) at a glassy carbon electrode (GCE) in phosphate buffer solutions of pH (2.54 â€“ 11.79) used as supporting electrolytes. The voltammetric behaviour showed th at the electro - oxidation process gave rise to a single peak at 0.692 V vs. Ag - AgCl using DPV in phosphate buffer solution at (pH 3.34). The oxidation process was shown to be irreversible and adsorption - controlled. An analytical method was developed for the determination of cibacron red FN - R in phosphate buffer solution at (pH 3.34) as supporting electrolyte. The anodic peak current varied linearly with cibacron red FN - R concentration in the range 2.0 A—10 âˆ’ 6 mol L - 1 to 1.0A—10 âˆ’ 5 mol L âˆ’ 1 of cibacron red FN - R with a limit of detection (LOD) of 4.49A—10 âˆ’ 7 mol L âˆ’ 1 and limit of quantification (LOQ) of 1.49A—10 - 6 mol L âˆ’ 1. Validation parameters, such as accuracy, precision and recovery were evaluated. The propos ed method was successfully applied to the determination of c ibacron red FN - R in synthetic industrial effluents and the analytical results compared well with those obtained by the spectrophotometric method .
A mucoadhesive electrospun nanofibrous matrix for rapid oramucosal drug delivery

A nanofibrous matrix system (NFMS), consisting of a drug-loaded nanofiber layer, was electrospun directly onto a polymeric backing film, the latter of which was formulated and optimized according to a 3-level, 3-factor Box-Behnken experimental design. The dependent variables, fill volume, hydroxypropylmethylcellulose (HPMC) concentration, and glycerol concentration, were assessed for their effects on measured responses, disintegration time, work of adhesion, force of adhesion, dissolution area under curve (AUC) at 1 minute, and permeation AUC at 3 minutes. Physicochemical and physicomechanical properties of the developed system were studied by rheology, FTIR, toughness determination, mucoadhesion, and nanotensile testing. Data obtained from the physicomechanical characterization confirmed the suitability of NFMS for application in oramucosal drug delivery. The optimized NFMS showed the drug entrapment of 2.3mg/1.5 cm2 with disintegration time of 12.8 seconds. Electrospinning of drug-loaded polyvinylalcohol (PVA) fibers resulted in amatrix with an exceedingly high surface-area-to-volume ratio, which enhanced the rate of dissolution for rapid oramucosal drug delivery. To corroborate with the experimental studies, the incorporation of glycerol with HPMC and PVA blend was mechanistically elucidated using computer-assisted modeling of the 3D polymeric architecture of the respective molecular complexes to envisage the likely alignment of the polymer morphologies affecting the performance of the nanofibrous device.
Examples of subsurface solute spreading driven by inhomogeneous velocity fields

Most of solutions of flow and transport problems available in literature are obtained under assumptions of stationarity of flow field and/or ergodicity of transport, even though in real-world analyses these hypotheses cannot be always verified. For instance, into problems that are met in practical applications, the statistics of flow are often location dependent and the stationarity of flow is violated. The nonstationarity of velocity field may originate from finite domain boundaries, complex flow configurations (pumping and injecting), nonstationarity of medium properties or conditioning of the log conductivity field to measurements of head or conductivity. Moreover the lack of ergodicity related to the finite size of solute sources makes difficult transport analyses that are often carried out by rough schematizations. Some examples of solute dispersion of nonergodic passive solute plume in heterogeneous formations with nonstationary flow conditions are here considered and solved by a new approach. By this method the spatial moments of finite initial volume of solute are obtained from the statistics of velocity field evaluated by first-order perturbation expansion of steady state flow equation in Taylor series combined with a finite element discretization. The approach allows to handle nonstationarity due to several causes and is here applied to some test cases in bounded domains. A comparison of numerical results in terms of particle displacements moments with known solutions available in literature and with Monte Carlo simulations gives a measure of the effect related to the lack of plume ergodicity and of flow spatial stationarity in real-world transport analyses.
Landscape Structure Indicators as a Key Feature in Habitat Selection: an Operational Approach to Conservation Planning

Landscape structure is a key factor for biodiversity conservation. We assessed the potential role of landscaperelated habitat structure on Hazel Grouse (Tetrastesbonasia) by recording the occurrence of the species. Hazel Grouse is a widely recognized endangered species, because of the habitat loss as a direct consequence of land use change that is jeopardizing the species survival. The aim of this study is to provide a method based on habitat suitability modelling to explore and analyse hazel grouse- landscape structure and its relation to key habitat features. We evaluated landscape factors and critical threshold for monitoring the species, in order to assess the predictive power of models based on field surveys, ancillary information and high resolution infrared aerial photographs. We tested Maximum Entropy (MaxEnt) algorithm, in order to predict the distribution of Hazel Grouse species, in the complex mountain landscape within the study site. This presence-only modelling method has showed numerous advantages over many other approaches. It is based on a function that links the fitness of individuals to their environment. Our results were highly consistent with field knowledge, showing that habitat modelling generated using spatial statistics and GIS can effectively help in the characterization of habitat requirements and the localization of the species suitable habitat. We found also that key drivers of Hazel Grouse distribution are not only environmental factors, in particular linked to elevation in mountain areas, but also landscape heterogeneity is a key feature. Hence, conservation of this species will require land management practices that maintain heterogeneous landscape; in particular small forest openings are essential for the species. The approach developed seem to be a promising operational tool for local and regional managers interested in species monitoring and management within the long term.
Evaluation of a Multidisciplinary Professional Development Activity to Enhance Communication Skills Based on Calgary Cambridge Model

Communication skills are essential for all categories of health care workers. The Calgary Cambridge Model of communication is accepted as a doctor patient communication model in Europe and Canada. It has world-wide recognition and is now used as a model for teaching communication in disciplines like nursing and veterinary science. Since the value of an interdisciplinary approach in continuous professional development has been recognised and all categories of health care professionals face similar challenges with regards to communication with patients an educational activity was developed to facilitate the learning of communication skills as a multidisciplinary team. Feedback on this program was accessed by means of observations, questionnaire and focus group discussions. Results revealed that there was positive feedback on this approach as a means of communications skills training.
Construction of watermelon SSH cDNA libraries induced by Fusarium oxysporum and analysis of expressed sequence tags 1

Suppression subtractive hybridization (SSH) cDNA libraries were constructed with watermelon root induced by F. oxysporum race 1. The process of library construction was checked and analyzed; results showed that the technique was efficient in the subtractive hybridization. 562 EST s with good quality were assembled to 550 contigs with DNAStar 5.0 software. After fun ction annotation, the most prevalent category was disease and defense, which a ccounted for 33.5 % of the ESTs; the second category was signal transduction which a ccounted for 13.1 %. Systemic acquired resistance (SAR) was supposed to be the important element composing the resistance to F. oxysporum race 1 in PI 296341-FR after sequence analysis.
A joint finite mixture model for clustering genes from beta, Gaussian and Bernoulli distributed data

Background: Expression and protein-protein interaction data are often coupled in gene clustering, which has succeeded in many applications such as pathway discovery and function inference. However, asynchronous relations, which can be measured by protein-DNA binding data, are also crucial in regulatory network and should be taken into account. Thus, how to make efficient use of gene expression, protein-protein interaction and protein-DNA binding data has posed us a huge challenge. Method: A beta-Gaussian-Bernoulli mixture model (BGBMM) is proposed to solve the aforementioned problem, assuming that protein-DNA binding probabilities, gene expression data and protein protein interactions can be modeled as beta, Gaussian and Bernoulli distributions, respectively. BGBMM is a natural extension of the beta mixture model, the Gaussian mixture model and the Bernoulli mixture model, which differs from other mixture model based methods by fusing three heterogeneous data types into a unified probabilistic modeling framework with each data type modeled as one component. BGBMM is demonstrated to be an efficient model for data fusion, and is applicable to any data sources that can be modeled as beta, Gaussian or Bernoulli distributed random variables. Further, it is easily extendable to data of any other parametric distributions in principle. A joint standard expectation maximization algorithm is developed to estimate parameters involved in BGBMM. Four approximation-based model selection methods, i.e., the Akaike information criterion, a modified AIC, the Bayesian information criterion, and the integrated classification likelihood-Bayesian information criterion, are compared in BGBMM, based on which the best performing ones are suggested for future use. Results: The simulation tests and real case application show that combining three data sources into a single joint mixture model with each data type modeled as one component can highly improve the clustering accuracy. Also, applying BGBMM in mouse data reveals genes involved in the process of Toll-like receptor stimulated macrophage activation.
Statistical learning procedures for monitoring regulatory compliance: an application to fisheries data

Summary. As a special case of statistical learning, ensemble methods are well suited for the analysis of opportunistically collected data that involve many weak and sometimes specialized predictors, especially when subject‐matter knowledge favours inductive approaches. We analyse data on the incidental mortality of dolphins in the purse‐seine fishery for tuna in the eastern Pacific Ocean. The goal is to identify those rare purse‐seine sets for which incidental mortality would be expected but none was reported. The ensemble method random forests is used to classify sets according to whether mortality was (response 1) or was not (response 0) reported. To identify questionable reporting practice, we construct ‘residuals’ as the difference between the categorical response (0,1) and the proportion of trees in the forest that classify a given set as having mortality. Two uses of these residuals to identify suspicious data are illustrated. This approach shows promise as a means of identifying suspect data gathered for environmental monitoring.
Algorithms for Maps Construction and Localization in a Mobile Robot

In this paper it is presented an integration of algorithms that permits maps construction and navigation of mobile robots. Simultaneous Localization and Mapping (SLAM) algorithm is used based on FastSLAM method. Navigation system is based on Vector Field Histogram algorithm to avoid obstacle and a spiral way trajectory method. Up to three different complex simulation maps have been used to evaluate the system.
STRATEGIES FOR ENGLISH AS A FOREIGN LANGUAGE LEARNERS

This research aimed to investigate communication speaking skill strategies applied by two groups of English foreign language learners in two boarding senior high schools in Aceh, Indonesia. Of the successful group, there were 52 learners and of the less successful group 24 learners. To collect the data, this study employed the observation sheet adapted by Tarone (1978), which determined nine categories of communication strategies; approximation, word coinage, circumlocution, literal translation, language switch, mime, appeal for assistance, topic avoidance, and message abandonment. The students were observed during their speaking class. The result of this research is the literal translation, approximation, and language switch become the most frequent strategies used by the less successful learners. It implies that the students have had difficulties communicating in the target language. On the other hand, successful learners prefer to use approximation, literal translation, and appeal for assistance strategies. It implies that the students tend to speak and communicate well, if not yet fluently. Based on the findings, it is suggested that English teachers should introduce several communication strategies for both groups of learners to improve their effective communication.
Wages and Profits in Manufacturing Firms: Matched-Panel Evidence from Brazil

We provide evidence about the determinants of the wage structures of developing countries by examining the case of Brazil. Our specific question is whether Brazil’s dramatic income and wage dierentials can be explained by the division of rents between firms and their employees, unlike in competitive labour markets. Using detailed individual-level matched panel data, covering a large share of manufacturing firms and more than 30 million workers between 1997 and 2002, we consider the endogeneity of profits, by adopting dierent measures of profits and dierent instruments and by controlling for spell fixed eects. Our results, robust to dierent specifications and tests, indicate no evidence of rent sharing. This conclusion contrasts with findings for most developed countries, even those with flexible labour markets. Possible explanations for the lack of rent sharing include the weakness of labour-market institutions, the high levels of worker turnover and the macroeconomic instability faced by the country.
Investigating the Effects of Pod Elimination on Salinity Tolerance in Annual Medic (Medicago scutellata L.)

In most southern provinces of Iran, Soil Salinity is a growing problem particularly in the irrigated agricultural areas and has been found to reduce crop yields. In order to investigate the role of pod removal in seed germination, seedling growth and antioxidant enzymes activity in annual medics (Medicago scutella L.) under salinity stress conditions, a factorial experiment was conducted at College of Agriculture, Shiraz University in 2014 based on the completely randomized design with four replications. The factors included: 1) the presence or removal of seed pod, and 2) salinity stress at five levels involving controls 3, 6, 9 and 12 dS m-1. The results showed that salinity stress has caused the changes of germination, seedling growth and antioxidant enzymes activity. By increasing salinity stress levels, a significant reduction was observed in speed and percentage of germination as well as rootlet length, shoot length and seedling weight. However, the increased levels of salinity stress caused the increased antioxidant enzymes activity. Germination and seedling growth in seeds with no pod were more than seeds with pod, but about enzymes' activity, no significant difference was observed among seeds with and without pod, except for ascorbate peroxidase enzyme activity that was significantly more in seeds without pod as compared to the seeds with pod.
Palaeozoic–Mesozoic history of SE Asia

Abstract SE Asia comprises a collage of Gondwana-derived continental blocks assembled by the closure of multiple Tethyan and back-arc ocean basins now represented by suture zones. Two major biogeographical boundaries, the Late Palaeozoic Gondwana–Cathaysia divide and the Cenozoic-Recent Australia–Asia divide (Wallace Line) are present. Palaeozoic and Mesozoic evolution involved the rifting and separation of three collages of continental terranes from eastern Gondwana and the opening and closure of three successive ocean basins, the Palaeo-Tethys (Devonian–Triassic), Meso-Tethys (Permian–Cretaceous) and Ceno-Tethys (Late Triassic–Cenozoic). This led to the opening and closing of ocean gateways and provision of shallow-marine and terrestrial land bridges and stepping-stones for biotic migration. The SE Asia core (Sundaland) comprises a western Sibumasu block, an eastern Indochina–East Malaya block, and the Sukhothai Island Arc terrane between. The Jinghong, Nan-Uttaradit and Sra Kaeo sutures represent the Sukhothai closed back-arc basin. The Palaeo-Tethys is represented by the Changning-Menglian, Chiang Mai/Inthanon and Bentong-Raub suture zones. The West Sumatra and West Burma blocks were accreted to the Sundaland core in the Late Permian–Early Triassic. SW Borneo and/or East Java–West Sulawesi are now identified as the missing ‘Argoland’ that separated from NW Australia in the Jurassic and accreted to SE Sundaland in the Cretaceous.
Basic Models of Tax Federalism in Global Practice: Specific Characteristics and Structural and Functional Organization

Federated states are characterized by a complex government hierarchy. The same situation is with their tax policy, which is characterized by a multi-level form of fiscal revenues, which varies in different countries. In this regard, the purpose of this article is to consider what factors affect their tax policy. This research is based on a system approach to the process of studying the tax policy, as well as on structural and functional analysis methods. The tax system of federated states was considered in the case of Germany, the United States, Canada and other countries. The Results section reveals the peculiarities of tax systems existing in the federated states, as well as the factors affecting them, such as the state size, population and centralization level.