Miracle-dz/UniFAR-FTUs huggingface dataset:
NDVI and NDWI based Change Detection Analysis of Bordoibam Beelmukh Wetlandscape, Assam using IRS LISS III data

This paper analyses per pixel change detection of Bordoibam Beelmukh wetlandscape located in Dhemaji district of Assam, India, which covers around 23 sq. km of geographical area. Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) are the two remote sensing indices applied for change detection analysis in the study area. IRS LISS III satellite imageries with 23.5 meter spatial resolution have been used to conduct the analysis. These satellite imageries have been collected from NRSC Bhuvan portal with 5 years temporal interval (2008 to 2013). Image differencing technique has been applied to detect per pixel change using NDVI and NDWI difference image results of the wetlandscape. The study has observed per pixel change detection in five distinct categories for both NDVI and NDWI results of the study area. These are increased more than 5 percent, decreased more than 5 percent, some increase, some decrease and unchanged. In this regard, the study reveals that there is maximum change (79% to total change) in increased more than 5 percent category for NDVI, whereas for NDWI maximum change (96% to total change) is observed under decreased more than 5 percent category of the study area. It has been also observed that there are significant changes of both NDVI and NDWI values from 2008 to 2013 in the study area which in turn indicate changes of vegetation and water cover areas of the same.
COMPARATIVE STUDY ON PHYSICAL AND MECHANICAL PROPERTIES OF HIGH SLUMP AND ZERO SLUMP HIGH VOLUME FLY ASH CONCRETE (HVFAC)

An experimental investigation was carried out to compare the compressive strength of zero slump and high slump concrete with high volume fly ash. 40% to 70% replacements of OPC (by weight) with class F fly ash have been incorporated. Superplasticizer was added at 1% of binder (cement + fly ash) to the zero slump mixture to get a slump in the range of 140 to 180mm and cubes were cast without compaction. The results showed that the apparent porosity and water absorption were higher for zero slump concrete than high slump concrete. Zero slump concrete showed better compressive strengths than superplasticized concrete with 40 to 60% fly ash addition for all curing times tested (3,7 and 28 days). Ultrasonic pulse velocity results categorized all mixes as of ‘EXCELLENT’ concrete quality. Based on the present experimental investigation, it can be concluded that high volume fly ash concrete is suitable for general construction applications.
Surface high-resolution temperature forecast in southern Italy

Abstract. Since June 2008, 1-h temperature forecasts for the Calabria region (Southern Italy) are issued at 2.5 km horizontal resolution at CRATI/ISAC-CNR. Forecasts are available online at http://meteo.crati. it/previsioni.html (every 6-h). This paper shows the forecast performance out to three days for one climatological year (from 1 December 2008 to 30 November 2009, 365 run) for minimum, mean and maximum temperature. The forecast is evaluated against gridded analyses at the same horizontal resolution. Gridded analysis is based on Optimal Interpolation (OI) and uses a de-trending technique for computing the background field. Observations from 87 thermometers are used in the analysis system. In this paper cumulative statistics are shown to quantify forecast errors out to three days.
Title Climate change and the control of energy flow in the southeastern Bering Sea Permalink

We examine how coupling between physical and biological processes influences the production and transfer of energy to upper trophic-level species in the southeastern Bering Sea. We review time series that illustrate changes in the marine climate of the southeastern Bering Sea since the mid-1970s, particularly variability in the persistence of sea ice and the timing of its retreat. Time series (1995 – 2001) from a biophysical mooring in the middle domain of the southeastern shelf support the hypothesis that retreat of the winter sea ice before mid-March (or the failure of ice to be advected into a region) results in an open water bloom in May or June in relatively warm water ( 3°C). Conversely, when ice retreat is delayed until mid-March or later, an ice-associated bloom occurs in cold ( 0°C) water in early spring. These variations are important because the growth and production of zooplankton and the growth and survival of larval and juvenile fish are sensitive to water temperature. The Oscillating Control Hypothesis (OCH) recently proposed by Hunt et al. (2002), predicts that control of the abundance of forage fish, and in the case of walleye pollock (Theragra chalcogramma), recruitment of large piscivorous fish, will switch from bottom-up limitation in extended periods with late ice retreat to top-down in warmer periods when ice retreat occurs before mid-March. In support of this hypothesis, we review recent data from the southeastern Bering Sea that show 2to 13-fold changes in copepod abundance with changes in spring water temperatures of 3 to 5 °C. We also provide indirect evidence that the abundance of adult pollock on the eastern Bering Sea shelf negatively affects the abundance forage fishes (including juvenile pollock) available to top predators. Although there is evidence that pollock year-class strength is positively related to temperature, we lack the time series of pollock populations in extended periods (8 – 10 years) of cold-water blooms necessary to test the OCH.  2002 Elsevier Science Ltd. All rights reserved.
Optimal Meshing of Structured Boundary Domains in Numerical Analyses

The analysis of a practical problem using numerical methods such as Finite Element Method (FEM) or Boundary Element Method (BEM) involves the subdivision of the space occupied by a physical system (named domain) or its boundary into sub-domains or sub-boundaries called elements. This task, known as mesh generation or domain-discretization, is no more trivial if domains of real or industrial problems involving shape irregularities, various different materials which may be non-linear or an-isotropic; are to be taken into account. In this paper an easy mesh technique considering even domains, which are tiresome handlebar by Computer Aided Design (CAD) Software, has been proposed to achieve efficient and suitable meshes to minimize the computer storage requirements, the computation time; and to improve the accuracy of the results during numerical Analyses. The basic elements adopted in mesh are d-Simplexes.
Scientometric Indicators as a Way to Classify Brands for Customer's Information

The paper proposes a novel approach for classification of different brands that commercialize similar products, for customer information. The approach is tested on electronic shopping records found on Amazon.com, by quantifying customer behavior and comparing the results with classifications of the same brands found online through search engines. The indicators proposed for the classification are currently used scientometric measures that can be easily applied to marketing classification.
The Demand of Health and Economic Growth in an Aging Economy

This paper constructs a endogenous growth model, introducing a health production function deflned by Grossman (1972) into the overlapping generations model, incorporating an uncertain lifetime. The health status is a commodity produced at home by using agents’ own health expenditure and transfers from their children. In the flrst part, we describe the economy in which there is no government and show that the rate of life expectancy has positive impact on growth rate. In the second part, we study the role and the efiect of public funded health spending. By analyzing the model, we show that public funded health spending deteriorates (accelerates) the growth rate and accelerates the welfare level of initial old generation.
Selective Embedding and Forbidden Zone Data Hiding for Strong Video Data Thrashing

A new method for high capacity data hiding in H.264 streams takes advantage of the different block sizes used by the H.264 encoder during the inter prediction stage in order to hide the desirable data. This fragile data hiding approach can be mainly used for content-based authentication and covert communication. Information-theoretic analyses for data hiding prescribe embedding the hidden data in the choice of quantizer for the host data. The hidden data can be recovered reliably under attacks, such as compression and limited amounts of image tampering and image resizing. The three main findings are as follows. 1) In order to limit perceivable distortion while hiding large amounts of data. 2) The use of local criteria to choose where to hide data can potentially cause desynchronization of the encoder and decoder. 3) For simplicity, scalar quantization- based hiding is employed, even though information-theoretic guidelines prescribe vector quantization-based methods. We begin with a review of two major types of embedding, based on which we propose a new multilevel embedding framework to allow the amount of extractable data to be adaptive according to the actual noise condition. We propose a new video data hiding method that makes use of erasure correction capability of repeat accumulate codes and superiority of forbidden zone data hiding. Selective embedding is utilized in the proposed method to determine host signal samples suitable for data hiding. The decoding error values are reported for typical system parameters. The simulation results indicate that the framework can be successfully utilized in video data hiding applications.
Real-time flood forecast using the coupling support vector machine and data assimilation method

An accurate and real-time flood forecast is a crucial nonstructural step to flood mitigation. A support vector machine (SVM) is based on the principle of structural risk minimization and has a good generalization capability. The ensemble Kalman filter (EnKF) is a proven method with the capability of handling nonlinearity in a computationally efficient manner. In this paper, a type of SVM model is established to simulate the rainfall–runoff (RR) process. Then, a coupling model of SVM and EnKF (SVM + EnKF) is used for RR simulation. The impact of the assimilation time scale on the SVM + EnKF model is also studied. A total of four different combinations of the SVM and EnKF models are studied in the paper. The Xinanjiang RR model is employed to evaluate the SVM and the SVM + EnKF models. The study area is located in the Luo River Basin, Guangdong Province, China, during a nine-year period from 1994 to 2002. Compared to SVM, the SVM + EnKF model substantially improves the accuracy of flood prediction, and the Xinanjiang RR model also performs better than the SVM model. The simulated result for the assimilation time scale of 5 days is better than the results for the other cases.
Always Looking Up: The Adventures of an Incurable Optimist

Struck with Parkinson's - a debilitating, degenerative disease - at the height of his fame, Fox has taken what some people might consider cause for depression and turned it into a beacon of hope for millions. Now, in "Always Looking Up", he writes about the personal philosophy that carried him through his darkest hours, and speaks with others who have emerged from difficult periods with optimism to spare. With the humor and wit that dazzled fans and reviewers alike in his bestselling memoir, "Lucky Man", Fox shows how he became a happier, more satisfied person by recognizing the gifts of everyday life.
Understanding Orlova : YouTube Producers, Hot for Words, and Some Pitfalls of Production Studies

In 2009 Pelle Snickars and I edited a book entitled The YouTube Reader (Snickars and Vonderau 2009). One of the essays in the collection discussed the ways in which YouTube brings together media companies, new media entrepreneurs and users in its "co-creative" culture. In their article, "The Entrepreneurial Vlogger: Participatory Culture Beyond the Professional- Amateur Divide," Jean Burgess and Joshua Green pointed to the dynamics inherent in YouTube as a platform for "participatory culture. " There was ample evidence in Burgess' and Green's analysis of YouTube star Marina Orlova's channel Hot for Words (hotforwords.com) that "produsage" was more than a hollow catchphrase. The interview I conducted with Marina and the research preceding it once again challenged my conception of a "produser" in the YouTube economy and also, on a methodological level, the usefulness of doing interviews with media producers generally. The lessons Marina taught refer to our general capability as media scholars to analyse how YouTube and production on and via YouTube operates.
Mastering the English formula: Fluency development of Japanese learners in a study abroad context

A common perception in English language education in Japan is that studying English abroad is the way to improve speech proficiency. An important element of speech proficiency is fluency, commonly measured by temporal variables of speech such as speed, pauses, and length of runs of speech. Evidence exists that the use of formulaic sequences, strings, and frames of words with specialized functions, mentally stored and retrieved as single words, is key to fluency. The present study is an examination of the spontaneous speech of four Japanese learners in a study abroad context in Canada. The participants’ narrative retells were analyzed over six months for increased fluency and use of formulaic sequences. The results show that the participants did increase their level of fluency, and that formulaic sequences played an important part in that development. This has implications for English language programs in Japan and other EFL contexts.
Voluntary Disclosure of Corporate Governance Practices by Listed Australian Companies

This study examines the relationship between the voluntary disclosure of information about corporate governance practices and the intention to raise external finance. This relationship is examined by using corporate governance disclosures in the annual reports of Australian companies in 1994. Data from this year are used because in subsequent years Australian Stock Exchange regulations influenced listed companies to make disclosures about their corporate governance practices. Regression analysis indicates that the voluntary disclosure of corporate governance information is positively associated with the intention to raise equity capital, but not with the intention to raise debt capital.
Identifying Key Success Factors in Stopping Flaky Tests in Automated REST Service Testing

A flaky test is a test which could fail or pass for the same version of a certain software code. In continuous software development environments, flaky tests represent a problem. It is difficult to get an effective and reliable testing pipeline with a set of flaky tests. Also, according to many practitioners, despite the persistence of flaky tests in software development, they have not drawn much attention from the research community. In this paper, we describe how a company faced this issue, and implemented solutions to solve flaky tests for REST web services. The paper concludes proposing a set of key success factors for stopping flaky tests in this type of testing.
Estimation of 3D Geometry Using Multi-View and Structured Circular Light System

This paper proposes an approach to multiple view-projection systems planning for a 3D object reconstruction in a practical settings. A I/O system theoretic is adopted and, viewpoints and light sources which are located at different positions are respectively the output and the input. The system identification is defined by a relationship between input and output. Structured circular light patterns are generated by multiple light sources. The proposed approach may be applied to both multiple inputs(projectors)-viewpoints (MPV) or single inputviewpoint (SPV) systems. This contribution is chiefly for an approximate reconstruction sufficient to characterize / clarify a target object rather than a perfect 3D reconstruction. To that end, we propose a development of an efficient 3D system identification frameworks based around an efficient 3D camera system we have developed in the laboratory. We show that these are closely related to the geometric information of an object, and with minimal prior information, an efficient MPV system is achieved.
Segmentation and Feature Extraction of Human Gait Motion

This paper presents segmentation and feature extraction of human gait motion. The methodology of this paper focuses on segmenting ‘XYZ’ position curves, in reference to time of gait motion based on the velocity or acceleration of the movement. The extracted features include amplitude, time, and equally spaced sample data, maximum and minimum for each segment. The results can be used for reconstruction of a viable dataset that is critical for simulation and validation of human gaits. We propose a method to enables the fitting of the same curve with limited data. Such data sets may prove valuable for studying impairments and improving simulations of rehabilitation tools, and statistical classification for researchers worldwide.
FAKE REVIEW DETECTION FROM A PRODUCT REVIEW USING MODIFIED METHOD OF ITERATIVE COMPUTATION FRAMEWORK

The rapid growth of the Internet influenced many of our daily activities. One of the very rapid growth area is ecommerce. Generally e-commerce provide facility for customers to write reviews related with its service. The existence of these reviews can be used as a source of information. For examples, companies can use it to make design decisions of their products or services, while potential customers can use it to decide either to buy or to use a product. Unfortunately, the importance of the review is misused by certain parties who tried to create fake reviews, both aimed at raising the popularity or to discredit the product. This research aims to detect fake reviews for a product by using the text and rating property from a review. In short, the proposed system (ICF++) will measure the honesty value of a review, the trustiness value of the reviewers and the reliability value of a product. The honesty value of a review will be measured by utilizing the text mining and opinion mining techniques. The result from the experiment shows that the proposed system has a better accuracy compared with the result from iterative computation framework (ICF) method.
Mutual Funds Dynamics and Economic Predictors

We propose a new Bayesian time-varying CAPM-based beta model to analyse how mutual funds’ managers use predictors to change their betas in the short- and mediumrun. Our empirical work is based on 5,377 U.S. domestic equity mutual funds over the 1990-2005 period. The main results can be summarized as follows. First, beta dynamics are significantly affected by economic variables, although managers seem not to care about benchmark sensitivities with respect to predictors in choosing their instrument exposure. Second, persistence in beta dynamics and leverage effects are substantial while market timing has a minor role. Third and most important, we find that fund managers tend to converge towards long-run, instrument-based hedging investment strategies and that short-run predictors play a scant role. This offsets the negative market timing and produces positive Jensen’s alphas for most mutual fund categories.
Phylogenetic analysis of the nematicidal actinobacteria from agricultural soil of China

The purpose of this study was to assess the diversity and biocontrol potential of nematicidal actinobacteria from agricultural soils. Two hundred soil samples were collected from 20 provinces (autonomous regions or municipalities) of China, and 4000 actinobacteria isolates were obtained. Of the 4000 isolates evaluated, 533 (13.3% of total) and 488 (12.2%) respectively showed nematicidal properties to target nematodesPanagrellus redivivus and Bursaphelenchus xylophilus with nematicidal activities (NA) of more than 30%. The sum of strains with NAs of 90-100%, 80-90%, 60-80% and 30-60% was 55, 100, 127 and 251 to P. redivivus, while 37, 85, 111 and 255 to B. xylophilus, respectively. The most active isolates showed high host selectivity, in which only 101 isolates (5.1% of the total) were toxic to the both targets with NAs>30%. Additionally, 69 of the 101 isolates were randomly selected for species diversity analysis. Phylogenetic analysis placed the 69 actinobacteria in three families (Streptomycetaceae, Pseudonocardiaceae and Nocardiaceae) of the Actinobacteria with sequence similarity of 97.4-100%. The largest group was Streptomycetaceae, containing 58 isolates (84.1% of the total) that showed 97% to 100% sequence identity to 28 species of the generaStreptomyces (57 isolates, 27 species) and Kitasatospora (1, 1). The Pseudonocardiaceae group contained 7 isolates (10.1% of the total) showing 98.5-99.7% homology to Amycolatopsis lurida (4 isolates) and A. niigatensis (3). The Nocardiaceae group included 4 isolates (5.8% of the total) with 99-99.6% sequence identity to one species N. fluminea. Key words: Nematicidal actinobacteria, nematode, biocontrol, phylogenetic analysis.
The effect of games and training programs offered at ball school (balschule), on ball-coordination among first and second grade students

Целью данного исследования является изучение влияния игр и учебных программ, используемых в школе спортивных игр на координацию движений студентов первого и второго курсов. С этой целью были выбраны 38 студентов из 13 школ в качестве экспериментальной группы. Также было получено согласие родителей учащихся. Также были отобраны 40 студентов контрольной группы с согласия их родителей. Затем перед тестированием и после теста были измерен уровень координации при владении мячом у обеих группах (использован Ball Coordination’s Tests). Тесты включали упражнения из 5 серий ударов ногами мячом в стену. Тесты проверены на надежность и валидность. С помощью описательной статистики были получены средние стандартные отклонения. И затем использовался T-тест для статистического анализа данных в связанных группах. Результаты показали значительное влияние предлагаемых игр и учебных программ на координационные упражнения с мячом.
DWSI: an approach to solving the polygon intersection-spreading problem with a parallel union algorithm at the feature layer level

A dual-way seeds indexing (DWSI) method based on R-tree and the Open Geospatial Consortium (OGC) simple feature model was proposed to solve the polygon intersection-spreading problem. The parallel polygon union algorithm based on the improved DWSI and the OpenMP parallel programming model was developed to validate the usability of the data partition method. The experimental results reveal that the improved DWSI method can implement a robust parallel task partition by overcoming the polygon intersection-spreading problem. The parallel union algorithm applied DWSI not only scaled up the data processing but also speeded up the computation compared with the serial proposal, and it showed a higher computational efficiency with higher speedup benchmarks in the treatment of larger-scale dataset. Therefore, the improved DWSI can be a potential approach to parallelizing the vector data overlay algorithms based on the OGC simple data model at the feature layer level.
Interactive comment on “ A framework for assessing flood frequency based on climate projection information ” by D . A

tained. Note in the original manuscript on page 2016, line 27 denotes that “The general approach was to scale a monthly set of observed daily values . ” This more accurately should say to scale a monthly set of observed six-hourly values. This paragraph goes on to describe this process in detail with a example onto page 2017. Therefore to alleviate some of reviewer Sivapalan’s concerns any intermittency that has been observed in the data set is maintained through the temporal downscaling methodology.