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1

Binh, Hong Ngoc, and Ngo Viet Trung. "The Bhattacharya Function of Complete Monomial Ideals in Two Variables." Communications in Algebra 43, no. 7 (2015): 2875–86. http://dx.doi.org/10.1080/00927872.2014.907415.

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Hurri-Syrjänen, Ritva. "A Generalization of an Inequality of Bhattacharya and Leonetti." Canadian Mathematical Bulletin 39, no. 4 (1996): 438–47. http://dx.doi.org/10.4153/cmb-1996-052-x.

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AbstractWe show that bounded John domains and bounded starshaped domains with respect to a point satisfy the following inequalitywhere F: [0, ∞) → [0, ∞) is a continuous, convex function with F(0) = 0, and u is a function from an appropriate Sobolev class. Constants b and K do depend at most on D. If F(x) = xp, 1 ≤ p < ∞, this inequality reduces to the ordinary Poincaré inequality.
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XIANG, KAI-NAN, and TU-SHENG ZHANG. "SMALL TIME ASYMPTOTICS FOR FLEMING–VIOT PROCESSES." Infinite Dimensional Analysis, Quantum Probability and Related Topics 08, no. 04 (2005): 605–30. http://dx.doi.org/10.1142/s0219025705002177.

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In this paper, a sample path large deviation for Fleming–Viot processes corresponding to the small time asymptotics is established. The rate function is identified as the energy functional of paths associated to the Bhattacharya metric, the intrinsic metric of Fleming–Viot processes.
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Cline, T. W. "A lesson from flex: consider the Y chromosome when assessing Drosophila sex-specific lethals." Development 128, no. 6 (2001): 1015–18. http://dx.doi.org/10.1242/dev.128.6.1015.

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Bhattacharya et al. (Bhattacharya, A., Sudha, S., Chandra, H. S. and Steward, R. (1999) Development 126, 5485–5493) reported that loss-of-function mutations in the flex (female-specific lethal on X) gene caused female-specific lethality because flex(+) acts as a positive regulator of the master switch gene Sex lethal (Sxl). Sxl is essential for female development. Key to their conclusion was the ability of flex mutations to suppress the male lethality caused by Sxl(M) mutations, which inappropriately activate Sxl female-specific expression. Here we report our contrary findings that flex mutati
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Ghosh, Bikram, Saugata Mitra, and Subenoy Chakraborty. "Some specific wormhole solutions in f(R)-modified gravity theory." Modern Physics Letters A 36, no. 05 (2021): 2150024. http://dx.doi.org/10.1142/s0217732321500243.

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The paper deals with the static spherically symmetric wormhole solutions in [Formula: see text]-modified gravity theory with anisotropic matter field and for some particular choices for the shape functions. This work may be considered as an extension of the general formalism in [S. Halder, S. Bhattacharya and S. Chakraborty, Phys. Lett. B 791, 270 (2019)] for finding wormhole solutions. For isotropic matter distribution it has been shown that wormhole solutions are possible for zero tidal force and it modifies the claim in [M. Cataldo, L. Leimpi and P. Rodriguez, Phys. Lett. B 757, 130 (2016)]
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Pal, J. D., V. M. Berthoud, E. C. Beyer, D. Mackay, A. Shiels, and L. Ebihara. "Molecular mechanism underlying a Cx50-linked congenital cataract." American Journal of Physiology-Cell Physiology 276, no. 6 (1999): C1443—C1446. http://dx.doi.org/10.1152/ajpcell.1999.276.6.c1443.

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Mutations in gap junctional channels have been linked to certain forms of inherited congenital cataract (D. Mackay, A. Ionides, V. Berry, A. Moore, S. Bhattacharya, and A. Shiels. Am. J. Hum. Genet. 60: 1474–1478, 1997; A. Shiels, D. Mackay, A. Ionides, V. Berry, A. Moore, and S. Bhattacharya. Am. J. Hum. Genet. 62: 526–532, 1998). We used the Xenopus oocyte pair system to investigate the functional properties of a missense mutation in the human connexin 50 gene (P88S) associated with zonular pulverulent cataract. The associated phenotype for the mutation is transmitted in an autosomal dominan
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BHATTACHARYA, RAJEEV R. "AN OPTION THEORETIC APPROACH TO MARKET EFFICIENCY." Annals of Financial Economics 14, no. 04 (2019): 1950018. http://dx.doi.org/10.1142/s2010495219500180.

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I use five separate measures of deviation from Put-Call Parity of options on a stock without splits or dividends as separate negative measures for market efficiency. I rely upon the theory of trading volume as a function of short sales costs, etc., and that of market efficiency as a function of trading volume, etc. derived by Bhattacharya (2019). I use Three-Stage Least Squares (3SLS) to estimate this structural system, separately for Nasdaq and non-Nasdaq U.S. stocks. I find, contrary to much previous theoretical and empirical work, that the impact of short sales costs & constraints on ma
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Fărcăşeanu, Maria, and Mihai Mihăilescu. "On a family of torsional creep problems involving rapidly growing operators in divergence form." Proceedings of the Royal Society of Edinburgh: Section A Mathematics 149, no. 2 (2018): 495–510. http://dx.doi.org/10.1017/prm.2018.36.

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Let Ω⊂ℝN (N≥2) be a bounded domain with smooth boundary and {pn} be a sequence of real numbers converging to+∞ as n→∞. For each integer n>1, we define the function $\varphi_{n}(t)=p_{n} \vert t \vert^{p_{n}-2}te^{ \vert t \vert^{p_{n}}}$, for all t∈ℝ, and we prove the existence of a unique nonnegative variational solution for the problem−div(((φn(|∇ u(x)|))/(|∇ u(x)|))∇ u(x))=φn(1), when x∈Ω, subject to the homogeneous Dirichlet boundary condition. Next, we establish the uniform convergence in Ω of the sequence of solutions for the above family of equations to the distance function to the b
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Rao, K. Aruna, and A. R. S. Bhatta. "A Note on Test for Coefficient of Variation." Calcutta Statistical Association Bulletin 38, no. 3-4 (1989): 225–30. http://dx.doi.org/10.1177/0008068319890311.

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In this paper we deal with large sample test for coefficient of variation when the observations come from a normal population. Such large sample tests are based on normal approximation for sample coefficient of variation. When the sa mple size is small or moderate, the normal approximation may not be accurate in the sense that the attained level of the test Is not close to the nominal level. Following Bhattacharya and Ghosh (1978), we obtain valid Edgeworth expansion for sample coefficient of variation to O(n-1) under simple null hypo thesis and contiguous alternative hypothesis. This helps on
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Chen, Kan, Bin Li, Lian-fang Tian, Wen-bo Zhu, and Ying-han Bao. "Vessel attachment nodule segmentation using integrated active contour model based on fuzzy speed function and shape–intensity joint Bhattacharya distance." Signal Processing 103 (October 2014): 273–84. http://dx.doi.org/10.1016/j.sigpro.2013.09.009.

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11

ABID, N., M. BAKKALI, G. TSERPES, and M. IDRISSI. "Swordfish growth pattern in the strait of Gibraltar; implications for mixing among Atlantic and Mediterranean stocks." Mediterranean Marine Science 15, no. 1 (2013): 135. http://dx.doi.org/10.12681/mms.417.

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A growth study of the swordfish in the Strait of Gibraltar was carried out, based on monthly size frequencies data collected from the Moroccan driftnet fishery during the period 2006-2011. The growth parameters were estimated by the modal progression analysis (MPA), using both the Bhattacharya and NORMSEP methods. The standard von Bertalanffy growth function (VBGF) for length was found to be: Lt =253.6 [1-exp (- 0.17(t + 1.30))]. The growth pattern of swordfish in the Strait of Gibraltar was found to be very similar to that obtained from past studies in various Mediterranean areas. Given the e
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Piscart, Christophe, Simon Devin, Jean-Nicolas Beisel, and Jean-Claude Moreteau. "Growth-related life-history traits of an invasive gammarid species: evaluation with a Laird–Gompertz model." Canadian Journal of Zoology 81, no. 12 (2003): 2006–14. http://dx.doi.org/10.1139/z03-188.

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Although the invasive gammarid Dikerogammarus villosus (Crustacea, Amphipoda) is a recent successful invader of Western Europe's lakes and rivers and a threat to North American aquatic ecosystems, its biology is scarcely known. Different growth models for each sex were established for the first time for a natural population of a freshwater gammarid. The Laird–Gompertz growth curve was used because it best fit our data, and it was associated with an environmental forcing function to adjust the growth rate according to seasonal variations in environmental conditions. The growth curve was applied
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Mohan, Anupama. "The Lumpenproletariat and the Itinerary of a Concept: Some Literary Reflections." Asian Review of World Histories 9, no. 2 (2021): 225–58. http://dx.doi.org/10.1163/22879811-12340094.

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Abstract In their theory of class formation and social revolution, Karl Marx and Frederick Engels were scathing about the lumpenproletariat, condemning it as anti-revolutionary, morally bankrupt, and a bribable tool of the bourgeoisie, a view that remained influential well into the mid-twentieth century. Not until Frantz Fanon appropriated the term lumpenproletariat in The Wretched of the Earth (1961) and applied it to what he saw as a whole class of people waiting to be brought into and redeployed as the vanguard of a new revolutionary proletarian consciousness did it shed its negative connot
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Grant, Alastair. "The Use of Graphical Methods to Estimate Demographic Parameters." Journal of the Marine Biological Association of the United Kingdom 69, no. 2 (1989): 367–71. http://dx.doi.org/10.1017/s0025315400029477.

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The demographic parameters of a population (the number of age-classes present; growth rates; mortality as a function of age and recruitment levels) are of considerable interest to marine biologists. If individuals can be aged from growth rings in their hard parts, then the estimation of demographic parameters is relatively straightforward. If this is not possible, the next best alternative is to tag or mark individuals and use data on the recapture of these to give the information required. For many marine invertebrates, neither of these options is practical and we must resort to estimating th
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Nayeban, S., A. Rezaei Roknabadi, and G. Mohtashami Borzadaran. "Lower bounds for the variance of unbiased estimators in generalized beta distribution of the second kind (GB2)." Studia Scientiarum Mathematicarum Hungarica 51, no. 2 (2014): 172–85. http://dx.doi.org/10.1556/sscmath.51.2014.2.1274.

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In order to give an excellent description of income distributions, although a large number of functional forms have been proposed, but the four-parameter generalized beta model of the second kind (GB2), introduced by J. B. McDonald [18], is now widely acknowledged which is including many other models as special or limiting cases.One of the fundamentals of statistical inference is the estimation problem of a function of unknown parameter in a probability distribution and computing the variance of the estimator or approximating it by lower bounds.In this paper, we consider two famous lower bound
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Chaudhuri, G., J. D. Borwankar, and P. R. K. Rao. "Bhattacharyya distance based linear discriminant function for stationary time series." Communications in Statistics - Theory and Methods 20, no. 7 (1991): 2195–205. http://dx.doi.org/10.1080/03610929108830627.

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17

Craig, Maurice. "The Fourier transform of 1/r." GEOPHYSICS 51, no. 2 (1986): 417–18. http://dx.doi.org/10.1190/1.1442101.

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Potential theory employs the Fourier integral [Formula: see text] where [Formula: see text]. Bhattacharyya (1966) obtained the value [Formula: see text] with the use of Bessel functions; the same argument has been repeated often in the geophysical literature (see Courant, 1961; Fuller, 1971; Lourenço, 1972; Gunn, 1975; Weil, 1976; Nabighian, 1984). The following alternative, short derivation involves only elementary functions and may, therefore, be of interest.
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Subašić, Senad, Nicola Piana Agostinetti, and Christopher J. Bean. "Estimating lateral and vertical resolution in receiver function data for shallow crust exploration." Geophysical Journal International 218, no. 3 (2019): 2045–53. http://dx.doi.org/10.1093/gji/ggz262.

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SUMMARY In order to test the horizontal and vertical resolution of teleseismic receiver functions, we perform a complete receiver function analysis and inversion using data from the La Barge array. The La Barge Passive Seismic Experiment was a seismic deployment in western Wyoming, recording continuously between November 2008 and June 2009, with 55 instruments deployed 250 m apart—up to two orders of magnitude closer than in typical receiver function studies. We analyse each station separately. We calculate receiver functions and invert them using a Bayesian algorithm. The inversion results ar
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Nakanishi, W., T. Fuse, and T. Ishikawa. "ADAPTIVE PARAMETER ESTIMATION OF PERSON RECOGNITION MODEL IN A STOCHASTIC HUMAN TRACKING PROCESS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (May 11, 2015): 49–53. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-49-2015.

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This paper aims at an estimation of parameters of person recognition models using a sequential Bayesian filtering method. In many human tracking method, any parameters of models used for recognize the same person in successive frames are usually set in advance of human tracking process. In real situation these parameters may change according to situation of observation and difficulty level of human position prediction. Thus in this paper we formulate an adaptive parameter estimation using general state space model. Firstly we explain the way to formulate human tracking in general state space m
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Banerjee, Sreejata, and Divya Murali. "Stress test of banks in India across ownerships: a VAR approach." Studies in Economics and Finance 34, no. 4 (2017): 527–54. http://dx.doi.org/10.1108/sef-11-2014-0213.

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Purpose This paper aims to examine whether the Indian banking system is robust to withstand unexpected shocks from external and domestic macroeconomic factors after financial liberalization in 1992. As proposed by Demirgüç-Kunt and Detragiache (1998) and Kaminsky and Reinhart (1999) banking crisis follows financial liberalization. India embarked financial deregulation from 1992, whereas the ongoing global financial crisis (GFC) could jeopardize bank portfolios. Design/methodology/approach Stress test is undertaken through the vector auto regressive (VAR) model to examine if decline in GDP, exc
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Cacoullos, T., and V. Papathanasiou. "Bounds for the variance of functions of random variables by orthogonal polynomials and Bhattacharya bounds." Statistics & Probability Letters 4, no. 1 (1986): 21–23. http://dx.doi.org/10.1016/0167-7152(86)90033-7.

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Душепа, Виталий Анатольевич. "ГРАНИЦЫ КРАМЕРА-РАО И БХАТТАЧАРИЯ ДЛЯ ОЦЕНКИ ПОТЕНЦИАЛЬНОЙ ТОЧНОСТИ СУБПИКСЕЛЬНОГО СОВМЕЩЕНИЯ ИЗОБРАЖЕНИЙ". RADIOELECTRONIC AND COMPUTER SYSTEMS, № 4 (20 грудня 2018): 34–40. http://dx.doi.org/10.32620/reks.2018.4.03.

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The subject matter of the article is theoretical lower bounds of parameter estimates applied to the problem of image co-registration. The goal is to study and compare the Cramer-Rao and Bhattacharyya bounds. The tasks to be solved are: to formulate algorithms for calculating the Cramer-Rao and Bhattacharyya bounds for estimating the subpixel shifts of two images; using the Monte Carlo methods to compare the calculated bounds with the results of the real registration algorithm. The methods used are computer simulation; Monte Carlo methods. Monte Carlo experiments were used both for calculating
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Belghini, Naouar, Arsalae Zarghili, Jamal Kharroubi, and Aicha Majda. "Learning a Backpropagation Neural Network With Error Function Based on Bhattacharyya Distance for Face Recognition." International Journal of Image, Graphics and Signal Processing 4, no. 8 (2012): 8–14. http://dx.doi.org/10.5815/ijigsp.2012.08.02.

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Zhang, Chenguang, Yuexian Hou, and Yan Zhang. "Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 6762–69. http://dx.doi.org/10.1609/aaai.v34i04.6155.

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Learning a classifier from positive and unlabeled data may occur in various applications. It differs from the standard classification problems by the absence of labeled negative examples in the training set. So far, two main strategies have typically been used for this issue: the likely negative examplesbased strategy and the class prior-based strategy, in which the likely negative examples or the class prior is required to be obtained in a preprocessing step. In this paper, a new strategy based on the Bhattacharyya coefficient is put forward, which formalizes this learning problem as an optim
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Gupta, Arunesh, Amresh S. Baliarsing, Tushar S. Thorat, Uday Bhat, Sanchit Garg, and Diptarka Bhattacharyya. "Flap Selection in Head and Neck Cancer Reconstruction." An International Journal of Otorhinolaryngology Clinics 5, no. 2 (2013): 63–76. http://dx.doi.org/10.5005/jp-journals-10003-1112.

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ABSTRACT Advances in head and neck reconstruction techniques have improved the results in function and the aesthetic outcome. Several flaps with different composition are available for specific reconstruction to achieve optimum result. Sensate free tissue transfer, dental rehabilitation and epiphyseal transfer for pediatric mandible are also now possible to achieve better function. The specific choice of the flap according to the region of defect and important keypoints in harvesting and reconstruction strategy for head and neck cancer are based on our experience in the last two decades. How t
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Ghosh, Soumitra, Jayanta Bhattacharyya, Preeti Goel, and Samiran Das. "Piezography: An Innovative Technique in Complete Denture Fabrication." Journal of Contemporary Dentistry 2, no. 3 (2012): 109–13. http://dx.doi.org/10.5005/jp-journals-10031-1022.

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ABSTRACT Increasing life expectancy, age-related reduction in adaptability and progressive severe mandibular resorption, all add to the difficulty in achieving prosthetic success. The conventional mandibular denture is usually less retentive than the maxillary one and successful treatment involves the development of lingual retention for the mandibular denture. Several methods taking into account physiologic function with an objective to enhance denture retention and comfort during mastication have been developed since many decades. The present article describes piezography as a method to enha
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Liu, Yang, Guangwu Chen, Zongshou Wei, Juhua Yang, and Dongfeng Xing. "Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition." Mathematical Problems in Engineering 2020 (December 8, 2020): 1–12. http://dx.doi.org/10.1155/2020/3019152.

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The microelectromechanical system (MEMS) gyroscope has low measurement accuracy and large output noise; the useful signal is often submerged in the noise. A new denoising method of interval empirical mode decomposition (IEMD) is proposed. Firstly, the traditional EMD algorithm is used to decompose the signal into a finite number of intrinsic mode functions (IMFs). Based on the Bhattacharyya distance analysis and the characteristics of the autocorrelation function, a screening mechanism is proposed to divide IMFs into three categories: noise IMFs, mixed IMFs, and signal IMFs. Then, the traditio
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Maria, Merzouqi, Sarhrouni El Kebir, and Hammouch Ahmed. "Reduction dimensionality of hyperspectral imagery using genetic algorithm and mutual information and normalized mutual information as a fitness function." International Review of Applied Sciences and Engineering 12, no. 1 (2021): 64–75. http://dx.doi.org/10.1556/1848.2020.00149.

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AbstractHyperspectral images (HSI) present a wealth of information. It is distinguished by its high dimensionality. It served humanity in many fields. The quantity of HSI information represents a double-edged sword. As a consequence, their dimensionality must be reduced. Nowadays, several methods are proposed to overcome their duress. The most useful and essential solution is selection approaches of hyperspectral bands to analyze it quickly. Our work suggests a novel method to achieve this selection: we introduce a Genetic Algorithm (GA) based on mutual information (MI) and Normalized Mutual I
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Bolbolian Ghalibaf, Mohammad. "Kernel Function in Local Linear Peters-Belson Regression." Revista Colombiana de Estadística 41, no. 2 (2018): 235–49. http://dx.doi.org/10.15446/rce.v41n2.65654.

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Determining the extent of a disparity, if any, between groups of people, for example, race or gender, is of interest in many fields, including public health for medical treatment and prevention of disease or in discrimination cases concerning equal pay to estimate the pay disparities between minority and majority employees. An observed difference in the mean outcome between a majority/advantaged group (AG) and minority/disadvantaged group (DG) can be due to differences in the distribution of relevant covariates. The Peters Belson (PB) method fits a regression model with covariates to the AG to
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Cao, Wei, Alex Dytso, Michael Fauß, and H. Vincent Poor. "Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information." Entropy 23, no. 5 (2021): 545. http://dx.doi.org/10.3390/e23050545.

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Finite-sample bounds on the accuracy of Bhattacharya’s plug-in estimator for Fisher information are derived. These bounds are further improved by introducing a clipping step that allows for better control over the score function. This leads to superior upper bounds on the rates of convergence, albeit under slightly different regularity conditions. The performance bounds on both estimators are evaluated for the practically relevant case of a random variable contaminated by Gaussian noise. Moreover, using Brown’s identity, two corresponding estimators of the minimum mean-square error are propose
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Dussan, Anderson, Heiddy P. Quiroz, Jorge A. Calderón, and Sandra M. López. "Optical Properties of Cu2ZnSnSe4 Nanocrystalline Thin Films for Photovoltaic Devices." Applied Mechanics and Materials 789-790 (September 2015): 90–94. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.90.

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Presents a study of optical properties from transmittance measurements as a function of wavelength to CZTSe thin films (Cu2ZnSnSe4) using Bhattacharyya model and basic elements from the Swanepoel theory. The optical constants such as the absorption coefficient (α), the refractive index (n), the extinction coefficient (k) and physical properties such as gap (Eg), the real and imaginary part of the dielectric function (ε1 and ε2) and the film thickness (d), were determined. Gap values between 1.2 and 1.7 eV were obtained for compound when the mass (MX) of ZnSe was varied during the deposition st
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Navalagi, G. B. "Semi-precontinuous functions and properties of generalized semi-preclosed sets in topological spaces." International Journal of Mathematics and Mathematical Sciences 29, no. 2 (2002): 85–98. http://dx.doi.org/10.1155/s0161171202010499.

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Andrijević (1986) introduced the class of semi-preopen sets in topological spaces. Since then many authors including Andrijević have studied this class of sets by defining their neighborhoods, separation axioms and functions. The purpose of this paper is to provide the new characterizations of semi-preopen and semi-preclosed sets by defining the concepts of semi-precontinuous mappings, semi-preopen mappings, semi-preclosed mappings, semi-preirresolute mappings, pre-semipreopen mappings, and pre-semi-preclosed mappings and study their characterizations in topological spaces. Recently, Dontchev
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Koley, Munmun, Subhranil Saha, and Shubhamoy Ghosh. "A Double-Blind Randomized Placebo-Controlled Feasibility Study Evaluating Individualized Homeopathy in Managing Pain of Knee Osteoarthritis." Journal of Evidence-Based Complementary & Alternative Medicine 20, no. 3 (2015): 186–91. http://dx.doi.org/10.1177/2156587214568668.

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Few homeopathic complexes seemed to produce significant effects in osteoarthritis; still, individualized homeopathy remained untested. We evaluated the feasibility of conducting an efficacy trial of individualized homeopathy in osteoarthritis. A prospective, parallel-arm, double-blind, randomized, placebo-controlled pilot study was conducted from January to October 2014 involving 60 patients (homeopathy, n = 30; placebo, n = 30) who were suffering from acute painful episodes of knee osteoarthritis and visiting the outpatient clinic of Mahesh Bhattacharyya Homeopathic Medical College and Hospit
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Anand, Divya, Babita Pandey, and Devendra K. Pandey. "A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine." Interdisciplinary Sciences: Computational Life Sciences 10, no. 2 (2016): 244–50. http://dx.doi.org/10.1007/s12539-016-0183-6.

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Mathan Kumar, B., and R. PushpaLakshmi. "An Approach for Image Search and Retrieval by Cluster-Based Indexing of Binary MKSIFT Codes." Computer Journal 63, no. 6 (2020): 857–79. http://dx.doi.org/10.1093/comjnl/bxz145.

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Abstract Image search is an information retrieval approach that gained remarkable attention in the areas like multimedia and computer vision. The first work presented a cross-indexing-based approach for image retrieval using multiple kernel scale-invariant feature transform (MKSIFT), where the key point descriptor was calculated using two kernel functions. Previous work had complexity issues while dealing with the large databases, and hence, to avoid this, cluster-based indexing of binary MKSIFT codes is presented. The proposed cluster-based indexing scheme uses the MKSIFT feature extraction a
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Mananze, Sosdito, Isabel Pôças, and Mario Cunha. "Retrieval of Maize Leaf Area Index Using Hyperspectral and Multispectral Data." Remote Sensing 10, no. 12 (2018): 1942. http://dx.doi.org/10.3390/rs10121942.

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Field spectra acquired from a handheld spectroradiometer and Sentinel-2 images spectra were used to investigate the applicability of hyperspectral and multispectral data in retrieving the maize leaf area index in low-input crop systems, with high spatial and intra-annual variability, and low yield, in southern Mozambique, during three years. Seventeen vegetation indices, comprising two and three band indices, and nine machine learning regression algorithms (MLRA) were tested for the statistical approach while five cost functions were tested in the look-up-table (LUT) inversion approach. The th
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Sette, C. S. C., R. A. Shinozaki-Mendes, T. L. Barros, and J. R. B. Souza. "Age and growth of Alitta succinea (Polychaeta; Nereididae) in a tropical estuary of Brazil." Journal of the Marine Biological Association of the United Kingdom 93, no. 8 (2013): 2123–28. http://dx.doi.org/10.1017/s0025315413000854.

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The aim of this work was to study the dynamics of Alitta succinea population growth in a tropical estuary. The organisms were collected in the polyhaline area of Pina Basin, north-eastern Brazil, in lower and shallow subtidal consolidated substrates, from October 2009 to March 2011. Fifteen samples with a size of 0.01 m2 were collected every month. A total of 2064 A. succinea individuals were measured for growth analysis, and the measure used was the length from prostomium to the 25th setiger. Growth parameters were estimated by the frequency–length distribution data from three different funct
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Tavasoli, Niloofar, Khosro Rezaee, Mohammadreza Momenzadeh, and Mohammadreza Sehhati. "An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning." Journal of Computational Design and Engineering 8, no. 4 (2021): 1172–89. http://dx.doi.org/10.1093/jcde/qwab039.

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Abstract Hybrid algorithms are effective methods for solving optimization problems that rarely have been used in the gene selection procedure. This paper introduces a novel modified model for microarray data classification using an optimized gene subset selection method. The proposed approach consists of ensemble feature selection based on wrapper methods using five criteria, which reduces the data dimensions and time complexity. Five feature ranking procedures, including receiver operating characteristic curve, two-sample T-test, Wilcoxon, Bhattacharyya distance, and entropy, are used in the
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Alba, Elisiane, Juliana Marchesan, Mateus Sabadi Schuh, José Augusto Spiazzi Favarin, Emanuel Araújo Silva, and Rudiney Soares Pereira. "INFLUENCE OF FOREST COVERAGE IN THE SURFACE ALBEDO." FLORESTA 50, no. 1 (2019): 1011. http://dx.doi.org/10.5380/rf.v50i1.60595.

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The surface albedo controls the energy balance between the surface and the atmosphere, being a primordial variable to identify climatic variations. The objective of this study was to evaluate the changes of the surface albedo in different Land Use and Land Cover in the Atlantic Forest biome from images TM/Landsat 5 and OLI/Landsat 8, verifying its variation in 30 years. The images used were path-row 221-080, which covered the Floresta Nacional de São Francisco de Paula on the dates of 1987 and 2017. The albedo was obtained by the method of the Surface Energy Balance Algorithm for Land, while t
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Zhang, Sherong, Ting Liu, and Chao Wang. "Multi-source data fusion method for structural safety assessment of water diversion structures." Journal of Hydroinformatics 23, no. 2 (2021): 249–66. http://dx.doi.org/10.2166/hydro.2021.154.

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Abstract Building safety assessment based on single sensor data has the problems of low reliability and high uncertainty. Therefore, this paper proposes a novel multi-source sensor data fusion method based on Improved Dempster–Shafer (D-S) evidence theory and Back Propagation Neural Network (BPNN). Before data fusion, the improved self-support function is adopted to preprocess the original data. The process of data fusion is divided into three steps: Firstly, the feature of the same kind of sensor data is extracted by the adaptive weighted average method as the input source of BPNN. Then, BPNN
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Sahu, Sima, Harsh Vikram Singh, Basant Kumar, and Amit Kumar Singh. "A Bayesian Multiresolution Approach for Noise Removal in Medical Magnetic Resonance Images." Journal of Intelligent Systems 29, no. 1 (2018): 189–201. http://dx.doi.org/10.1515/jisys-2017-0402.

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Abstract A Bayesian approach using wavelet coefficient modeling is proposed for de-noising additive white Gaussian noise in medical magnetic resonance imaging (MRI). In a parallel acquisition process, the magnetic resonance image is affected by white Gaussian noise, which is additive in nature. A normal inverse Gaussian probability distribution function is taken for modeling the wavelet coefficients. A Bayesian approach is implemented for filtering the noisy wavelet coefficients. The maximum likelihood estimator and median absolute deviation estimator are used to find the signal parameters, si
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Qi, Jie, Tengfei Lin, Tao Zhao, Fangyu Li, and Kurt Marfurt. "Semisupervised multiattribute seismic facies analysis." Interpretation 4, no. 1 (2016): SB91—SB106. http://dx.doi.org/10.1190/int-2015-0098.1.

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One of the key components of traditional seismic interpretation is to associate or “label” a specific seismic amplitude package of reflectors with an appropriate seismic or geologic facies. The object of seismic clustering algorithms is to use a computer to accelerate this process, allowing one to generate interpreted facies for large 3D volumes. Determining which attributes best quantify a specific amplitude or morphology component seen by the human interpreter is critical to successful clustering. Unfortunately, many patterns, such as coherence images of salt domes, result in a salt-and-pepp
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Han, Jaeduk, Haegeun Lee, and Moon Gi Kang. "Thermal Image Restoration Based on LWIR Sensor Statistics." Sensors 21, no. 16 (2021): 5443. http://dx.doi.org/10.3390/s21165443.

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An imaging system has natural statistics that reflect its intrinsic characteristics. For example, the gradient histogram of a visible light image generally obeys a heavy-tailed distribution, and its restoration considers natural statistics. Thermal imaging cameras detect infrared radiation, and their signal processors are specialized according to the optical and sensor systems. Thermal images, also known as long wavelength infrared (LWIR) images, suffer from distinct degradations of LWIR sensors and residual nonuniformity (RNU). However, despite the existence of various studies on the statisti
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Liu, X., J. X. Zhang, Z. Zhao, and A. D. Ma. "Built-up Areas Extraction in High Resolution SAR Imagery based on the method of Multiple Feature Weighted Fusion." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W4 (June 26, 2015): 121–25. http://dx.doi.org/10.5194/isprsarchives-xl-7-w4-121-2015.

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Synthetic aperture radar in the application of remote sensing technology is becoming more and more widely because of its all-time and all-weather operation, feature extraction research in high resolution SAR image has become a hot topic of concern. In particular, with the continuous improvement of airborne SAR image resolution, image texture information become more abundant. It’s of great significance to classification and extraction. In this paper, a novel method for built-up areas extraction using both statistical and structural features is proposed according to the built-up texture features
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González-Nuevo, J., S. L. Suárez Gómez, L. Bonavera, et al. "SHALOS: StatisticalHerschel-ATLAS lensed objects selection." Astronomy & Astrophysics 627 (June 27, 2019): A31. http://dx.doi.org/10.1051/0004-6361/201935475.

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Context. The statistical analysis of large sample of strong lensing events can be a powerful tool to extract astrophysical or cosmological valuable information. Their selection using submillimetre galaxies has been demonstrated to be very effective with more than ∼200 proposed candidates in the case ofHerschel-ATLAS data and several tens in the case of the South Pole Telescope. However, the number of confirmed events is still relatively low, i.e. a few tens, mostly because of the lengthy observational validation process on individual events.Aims. In this work we propose a new methodology with
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Hung, Tran Trong, Tran Anh Tu, Dang Thuong Huyen, and Marc Desmet. "Presence of trace elements in sediment of Can Gio mangrove forest, Ho Chi Minh city, Vietnam." VIETNAM JOURNAL OF EARTH SCIENCES 41, no. 1 (2019): 21–35. http://dx.doi.org/10.15625/0866-7187/41/1/13543.

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Can Gio mangrove forest (CGM) is located downstream of Ho Chi Minh City (HCMC), situated between an estuarine system of Dong Nai - Sai Gon river and a part of Vam Co river. The CGM is the largest restored mangrove forest in Vietnam and the UNESCO’s Mangrove Biosphere Reserve. The CGM has been gradually facing to numeric challenges of global climate change, environmental degradation and socio-economic development for the last decades. To evaluate sediment quality in the CGM, we collected 13 cores to analyze for sediment grain size, organic matter content, and trace element concentration of Cd,
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MURALIDHAR BAIRY, G., U. C. NIRANJAN, SHU LIH OH, et al. "ALCOHOLIC INDEX USING NON-LINEAR FEATURES EXTRACTED FROM DIFFERENT FREQUENCY BANDS." Journal of Mechanics in Medicine and Biology 17, no. 07 (2017): 1740009. http://dx.doi.org/10.1142/s0219519417400097.

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Alcoholism is a complex condition that mainly disturbs the neuronal networks in Central Nervous System (CNS). This disorder not only disturbs the brain, but also affects the behavior, emotions, and cognitive judgements. Electroencephalography (EEG) is a valuable tool to examine the neuropsychiatric disorders like alcoholism. The EEG is a well-established modality to diagnose the electrical activity produced by the populations of neurons in cerebral cortex. However, EEG signals are non-linear in nature; hence very challenging to interpret the valuable information from them using linear methods.
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Sheih, Alyssa, Jonathan L. Golob, Abir Bhattacharyya, et al. "Impact of Intestinal Microbiota on Reconstitution of Mucosal-Associated Invariant T Cells after Allogeneic Hematopoietic Stem Cell Transplantation." Blood 132, Supplement 1 (2018): 3393. http://dx.doi.org/10.1182/blood-2018-99-115158.

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Abstract INTRODUCTION: Mucosal-associated invariant T (MAIT) cells are innate-like T cells that express a semi-invariant T cell receptor (TCR) consisting of a Vα7.2 chain paired with a restricted repertoire of Vβ chains. The MAIT cell TCR recognizes riboflavin metabolites, and potentially other ligands produced by distinct bacterial and fungal species and presented in the context of the MHC class I-related molecule (MR1). MAIT cells are abundant in humans, comprising up to 10% of T cells in the peripheral blood, and are enriched in the gastrointestinal (GI) mucosa and liver. The GI localizatio
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Huijben, Teun A. P. M., Hamidreza Heydarian, Alexander Auer, et al. "Detecting structural heterogeneity in single-molecule localization microscopy data." Nature Communications 12, no. 1 (2021). http://dx.doi.org/10.1038/s41467-021-24106-8.

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AbstractParticle fusion for single molecule localization microscopy improves signal-to-noise ratio and overcomes underlabeling, but ignores structural heterogeneity or conformational variability. We present a-priori knowledge-free unsupervised classification of structurally different particles employing the Bhattacharya cost function as dissimilarity metric. We achieve 96% classification accuracy on mixtures of up to four different DNA-origami structures, detect rare classes of origami occuring at 2% rate, and capture variation in ellipticity of nuclear pore complexes.
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Ghosh, Bikram, Saugata Mitra, and Subenoy Chakraborty. "Some specific wormhole solutions in f(R)-modified gravity theory." Modern Physics Letters A, January 8, 2021, 2150024. http://dx.doi.org/10.1142/s0217732321500243.

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The paper deals with the static spherically symmetric wormhole solutions in [Formula: see text]-modified gravity theory with anisotropic matter field and for some particular choices for the shape functions. This work may be considered as an extension of the general formalism in [S. Halder, S. Bhattacharya and S. Chakraborty, Phys. Lett. B 791, 270 (2019)] for finding wormhole solutions. For isotropic matter distribution it has been shown that wormhole solutions are possible for zero tidal force and it modifies the claim in [M. Cataldo, L. Leimpi and P. Rodriguez, Phys. Lett. B 757, 130 (2016)]
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