Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing and Organizing User Search Histories Based On Query Logs

Creating search histories is a difficult process in the web and organizing the user search logs is rapidly increasing in the field of data mining for finding the user interestingness. Daily billions of queries can be passed to the server for relevant information, most of the search engines retrieves the information based on the query similarity score or related links with respect to the given query. This paper explains the problem of organizing a user’s historical queries into groups in a dynamic and automated fashion. This paper go beyond approaches that rely on textual similarity or time thresholds, and propose a more robust approach that leverages search query logs. The Incremental algorithm is used as IAssociation rule and ICover graph. This work experimentally study the performance of different techniques, and showcase their potential, especially when combined together.
The Defect Detection in Ceramic Materials Based on Time-Frequency Analysis by Using the Method of Impulse Noise

In this study, it was achieved by using the method of impulse noise to detect internal or surface cracks that can occur in the production of ceramic plates. Ceramic materials are often used in the industry, especially as kitchenware and in areas such as the construction sector. Many different methods are used in the quality assurance processes of ceramic materials. In this study, the impact noise method was examined. This method is a test technique that was not used in applications. The method is presented as an examination technique based on whether there is a deformation on the material according to the sound coming from it as a result of a plastic bit hammer impact on the ceramic material. The application of the study was performed on plates made of ceramic materials. Here, it was made with the same type of model plates manufactured from the same material. The noise that would occur as a result of the impact applied on a point determined on the materials to be tested has been examined by the method of time-frequency analysis. The method applied gives pretty good results for distinguishing ceramic plates in good condition from those which are cracked.
Hyperbolic components of the complex exponential family

We describe the structure of the hyperbolic components of the parameter plane of the complex exponential family, as started in [1]. More precisely, we label each component with a parameter plane kneading sequence, and we prove the existence of a hyperbolic component for any given such sequence. We also compare these sequences with the more commonly used dynamical kneading sequences.
The polyclad flatworms of the Pacific coast of North America. Bulletin of the AMNH ; v. 100, article 2

Hardly had my extensive article (Hyman, 1953) on the polyclad fauna of the Pacific coast of North America appeared than new species began to arrive and additional information about known species to accumulate. To date material of two undescribed species has come to hand, and as one of these species is of considerable economic importance as an oyster predator a scientific name is wanted for it as rapidly as possible by oyster workers. I also take this opportunity to correct a few errors that slipped into the 1953 article. The classificatory scheme of polyclads and definitions of the taxonomic categories in this group are given in the article cited and are not repeated here.
Status of the KLYPVE-EUSO detector for EECR study on board the ISS

KLYPVE-EUSO is a mission led by the Russian Space Agency to place an ultra-high energy cosmic ray observatory on board the Russian Segment of the ISS. The concept of the detector is based on the mirror-type detector proposed by SINP MSU in 2010 and improved by the joint studies with the JEM-EUSO collaboration. The current configuration is based on a Schmidt type optical system. This allows to increase the Field of View to 40 degrees and makes the experiment competitive with large ground-based observatories, with the advantage of the uniform exposure over the whole celestial sphere. The laboratory models of mirror-concentrator and photo detector module are being developed and manufactured. The launch of the experiment is scheduled to 2022 followed by the installation on the RS of the ISS and at least two years of operation.
Block-Centric Visualization Of Histological Whole Slide Images With Application To Revealing Growth-Patterns Of Early Colorectal Adenomas And Aberrant Crypt Foci

Introduction/ Background Comfortable navigation through diagnostic images is a prospective challenge for the acceptance of virtual microscopy applications in routine pathology [1],[2]. Tracing different regions of interest through multiple sections on one or several slides is a typical task in diagnostic slide examination. This laborious and time-consuming co-localization is currently executed by pathologists. Retaining the relative positions of tissue structures while alternating between multiple slides is still not feasible in a satisfactory manner in conventional nor virtual microscopy. Aims To address this issue we present a more comfortable and intuitive method to read slides using computer-assisted navigation. Furthermore, we demonstrate the strengths of our method by applying it to large series of serial colorectal tissue sections, creating new kinds of visualizations of different adenomatous mucosal architectures in human tissue, while looking for human correlates of lesions recently described in mice [3]. Methods Histological images contain multiple distortions from different sources in the laboratory and digitalization process. An interconnection model was created to describe distortions by several layers, providing a normalized tissue representation. Layers were associated with specific distortions with each layer serving as a new level of abstraction. The first layers enabled a coarse alignment of tissue sections. Further alignment is achieved by piecewise, multi-resolution, SIFT-based [4] correspondence extraction and refinement. Inside the convex hull of all fiducial points local affine transformations were applied whereas a global affine transformation was used on the outside. Animated stacks were generated for regions of interest using local rigid transformations to preserve exact morphological coherences. For subsequent creation of 3D models, the relevant histological objects within these images were annotated by pathologists, partly using computer assisted segmentation based on active contours [5]. These annotations were used subsequently to create simplified 3D models by applying VTK [6]. Results The presented methods provide an efficient means to retrieve correspondences and additional spatial information from serial sections of histological slides. They also show good applicability for specimen from different origin. Alignment methods can be applied to generate block-centric visualizations such as parallel and transparent viewing of multiple stains. Moreover, the generated stack videos and 3D models demonstrate the very good accuracy of section alignment even in large series. The visualizations enable pathologists and researchers to grasp the 3D structural relationships in the tissue at a glance, providing an excellent tool to communicate more complex histomorphological findings. Interestingly, we see two kinds of tubular adenomas, which could imply multiple ways to tubular adenoma formation in FAP-patients, possibly akin to the recent observations in mice [3].
Estimation of combining ability for yield and yield component traits in upland rice (Oryza Sativa L.) of Uttarakhand hills

Combining ability for grain yield and its component characters in rainfed upland rice (Oryza sativa L.) were studied during Kharif 2014 using half diallel involving ten parents viz., VL Dhan 221, Vivek Dhan 154, VL 30240, VL 7620, VL 30560, VL 8116, VL 8549, VL 8724, VL 8732 and Sukradhan1. Both general combining ability (gca) and specific combining ability (sca) variances were found to be highly significant for the characters viz., plant height (gca=85.42; sca=23.12), days to 50% flowering (gca=101.61; sca=42.61), days to maturity (gca=90.37; sca=37.73), tillers per plant (gca=4.63; sca=1.38), panicle per plant (gca=2.36; sca=0.90),kernel length (gca=28.88; sca=23.61), kernel width (gca=1.64; sca=1.92),1000 grain weight (gca=3.60; sca=4.91), grain yield per plot (gca=8.57; sca=3.03), fertile grains per panicle (gca=690.67; sca=300.95) and grains per panicle (gca=1050.58; sca=437.75) indicating the importance of additive and non-additive gene actions in the expression of these traits. However, predominance of non-additive gene action was recorded for all the characters. Parents VL Dhan 221, VL 7620, VL 30560, Sukradhan 1 were good general combiners for grain yield and related characters. VL Dhan 221 and Vivek Dhan 154 were good general combiners for plant height and earliness. On the basis of specific combining ability effects, cross combinations Vivek Dhan 154 x VL 8549, VL 7620 x VL 30560, VL 8549 x VL 8732, VL 30560 x VL 8116 and VL 30240 x VL 8116 were the best specific combiner for grain yield per plot and other associated characters viz., plant height, days to 50% flowering, days to maturity, kernel length and kernal width.
Developmental trends of stand structure and tree mortality in coastal western hemlock forests

I examined forest structure and tree mortality in the Coastal Western Hemlock very wet maritime 1 variant (CWHvm1) of British Columbia, using data collected from 190 permanent sample plots representing stand ages from 13 to over 300 years old. I found that patterns of structural development of forest attributes in the CWHvm1 were similar to patterns observed elsewhere in the Pacific Northwest. For instance, percent cover of understory vegetation followed a so called "U" shaped curve with increasing stand age and, conversely, mean tree diameter, biomass oflive stems and production of dead stem biomass were consistent with the so called "s" shaped or sigmoid curve. Overall stem density declined with age and in diameter distributions of live stems shifted from a "reverse-J" type distribution in young stands, to a near normal distribution in intermediate-aged stands, and back to a reverse-J distribution in old stands. Tree mortality and many size classes of live stems, for both stem density and stem biomass, followed an inverted "U" shaped trend over stand age. My observations are consistent with other research demonstrating that old growth stands are structurally distinct from mature stands. Old growth stands were characterized by a wide range of tree diameters, high levels of understory cover, low density and high biomass of live stems, and a reverse-J diameter distribution. Further, tree mortality rates were low in old growth stands. In contrast, in intermediate-aged stands, the ranges of stem diameter, proportion of subcanopy stems, proportion of tree species other than hemlock, and understory cover were low. As well, stem diameter displayed a near-normal distribution and mortality rates were high. Developmental trajectories in the CWHvm1 were influenced by site productivity and other factors such as aspect, elevation and geographic location. The rate of change in the density of different size classes of stems, percent cover of understory vegetation and degree of canopy closure increased on more productive sites. Therefore, the rate that a stand moves through developmental stages depends to some extent on the
Topological susceptibility and axial symmetry at finite temperature

We consider the simulation of finite temperature QCD with two flavors of dynamical overlap fermions in order to study the suppression of the axial U(1) symmetry breaking at the chiral phase transition point. As a preliminary study, pure gauge simulations are performed to investigate how fixing the topology affects physical quantities like the topological susceptibility, $\chi_t$, at finite temperature, showing that it is possible to reconstruct known results from the fixed topology sector. First results on the degeneracy of meson correlators in the high temperature QGP sector are shown.
An accurate numerical prediction of solid particle fluid flow in a lid-driven cavity

Research on solid particle flows has been quite intensive in the past decade. The difficulties associated with accurate predictions of the interactions between the solid and surrounding fluid. Hence, in the present paper, we focus on the simulation of lid- driven cavity flow containing a solid particle immersed in an incompressible fluid. In the present analysis, we adopt an Eulerian- Lagrangian approach where the solid particle is treated as a point in the cavity. To achieve the accuracy, the numerical scheme for the fluid is properly chosen so that the resultant force on the solid particle can be accurately determined. Our aim is to seek further improvement on the fundamental knowledge of the trajectories of a solid particle in a lid-driven cavity. To broaden our understanding of the particle dynamics in the cavity, we also study the vortex structure in the cavity which directly influence the trajectories of solid particle. Keywords—Navier-Stokes, solid particle, cubic polynomial, numerical method, shear-driven cavity. pipe have been studied in their research works sheds new hope in understanding this problem. Kosinski et al applied the combination of continuum Navier-Stokes equations to predict fluid flow and second Newton's law for solid particle. Definitely, a proper numerical model is required to predict the interaction between the fluid and solid particle. With a precise treatment, the trajectory of a solid particle in a complex fluid structure, which will be demonstrated in this paper, can be reproduced at certain level of accuracy. In this paper, a lid-driven cavity flow is used as a benchmark problem due to its simple geometry and complicated flow behaviors. It is usually very difficult to capture the flow phenomena near the singular points at the corners of the cavity. Therefore, the objective of this study is both to propose a numerical scheme that can be used to predict the interaction between the fluid and solid particle, as well as to analyze the flow structure in the lid-driven cavity.
Anti-inflammatory and Antioxidant Activities of Polysaccharide from Adansonia digitata: an in vitro Study

The polysaccharide was obtained from Adansonia digitata (AD) and purified by gel permeation chromatography. Results of chemical and HPLC analysis, including one peak showed that was mainly composed of fructose and glucose (8:1), and its molecular weight was about 5.3×10 4 Da. The antioxidant effect was determined by many testes including radical scavenging, reducing power, metal chelation, superoxide anion radical scavenging and nitrite scavenging in-vitro. The investigation demonstrated that AD showed potential antioxidant activity in a concentration dependent response. AD at 300 and 600 µg/ ml showed 100% effect as chelator for radical, superoxide radical, hydrogen peroxide and metal, therefor, it inhibited lipid peroxidation (100%) and nitric oxide formation (96%). Further, in some case the AD showed the highest antioxidant effect among the standards. The anti-inflammatory activities of polysaccharide at different concentrations were assessed by cyclooxygenase inhibition assay. The ability of the polysaccharide to inhibit cyclooxygenase enzymes (COX-1 and COX-2) was determined by calculating percent inhibition of hydrogen peroxide production. Both enzyme inhibited by polysaccharide and it was more efficient in inhibiting Cox-2 than Cox-1 at all concentrations; therefore, AD could be a potential antioxidant and anti-inflammatory food supplement.
Word Count and Data Archival Location

The transition to cooperative breeding may alter maternal investment strategies depending on density of breeders, extent of reproductive skew and allo-maternal care. Change in optimal investment from solitary to cooperative breeding can be investigated by comparing social species with non-social congeners. We tested two hypotheses in a mainly semelparous system: that social, cooperative breeders, compared to subsocial, solitarily breeding congeners, 1) lay fewer and larger eggs because larger offspring compete better for limited resources and become reproducers; 2) induce egg size variation within clutches as a bet-hedging strategy to ensure that some offspring become reproducers. Within two spider genera, Anelosimus and Stegodyphus, we compared species from similar habitats and augmented the results with a mini-meta-analysis of egg numbers depicted in phylogenies. We found that social species indeed laid fewer, larger eggs than subsocials, while egg size variation was low overall, giving no support for bet-hedging. We propose that the transition to cooperative breeding selects for producing few, large offspring because reproductive skew and high density of breeders and young create competition for resources and reproduction. Convergent evolution has shaped maternal strategies similarly in phylogenetically distant species and directed cooperatively breeding spiders to invest in quality rather than quantity of offspring.
Lidar studies on microphysical influences on the structure and lifetime of tropical cirrus clouds

Abstract. An understanding of the role of ice crystals in the cirrus cloud is significant on the the radiative budget of the planet and consequent changes in the temperature. The structure and composition of the cirrus is affected by the microphysical parameters and size and fall speed of ice crystal inside the clouds. In this study, the structure and dynamics of tropical cirrus clouds were analysed by the microphysical characterisation using the data obtained by the ground based lidar system over the tropical site Gadanki [13.50° N, 79.20° E], India for a period of 6 years from 2005 to 2010. The observed clouds have optical depth within the range 0.02 to 1.8, lidar ratios are in the 20 to 32 sr range and depolarisation ratio varies between 0.05 and 0.45. The altitude and temperature dependence of the parameters, their interdependence and the fall velocity – effective size analysis were investigated. Dependence of the microphysical parameters on the ice fall velocity which is critical for climate change was also analysed. The same are compared with the CALIPSO satellite based CALIOP lidar observations.
Differences in mental health between adults in stepfamilies and 'first families'

This study used longitudinal data from the UK National Child Development Study (N = 5844) to examine whether mental health measured at age 42 was associated with living in a stepfamily. Accounting for the potential selection of those with mental health problems at the onset of family formation (at age 23) into, or out of, stepfamilies we show that stepparents, their partners and particularly those in dual stepparent families all had worse mental health than parents in ‘first families’. It was also found that the mental health of men was worse if they were a stepparent than if they were the partner of a stepparent, while the reverse was the case for women.
"DROSOPHILA MELANOGASTER" T-PROCESS REGRESSION NONPARAMETRIC BAYES-BASED HETEROGENEOUS GENE REGULATORY NETWORK INFERENCE:

Recent research into time-varying network inference for gene expression data mainly assumes that gene regulatory networks have linear interactions. This assumption is straightforward and requires comparatively simple model building. However, in various previous biological studies, gene expression data have been believed to have nonlinear properties in their regulatory interactions. To address this, we adopted a nonparametric Bayesian regression method (e.g. a Gaussian Process) for predicting interactions into a time-varying network to achieve more flexible regression capability. The proposed method was evaluated on Drosophila melanogaster gene data, which has been used as a benchmark in a number of studies. This dataset, which was measured by a microarray test, is known to include noise. To obtain stronger robustness to noisy data, in our algorithm, we employed the T-Process instead of the conventional Gaussian Process. To the best of our knowledge, this is the first algorithm to apply nonparametric Bayesian regression method to a time-varying gene regulatory network problem. Our basic algorithm employed reversible jump Markov Chain Monte Carlo (RJMCMC) for inference of whole network structures. The method can handle the two inference problems: (i) change point detection and (ii) network structure inference simultaneously.
Demographic patterns of the palaemonid prawn Macrobrachium intermedium in southeastern Australia: spatial heterogeneity and the effects of species of seagrass

The effects of species of seagrass (Zostera capricorni and Posidonia australis) on spatial and temporal heterogeneity in the demography of estuarine populations of the palaemonid prawn Macrobrachium intermedium across 65 km of the Sydney region, southeastern Australia, were examined. Three estuaries were sampled in 1983 and 1984 to assess the magnitude of intraand interestuary variability in demographic characteristics among populations. Species of seagrass had no effect on the demographic patterns of populations: differences in the magnitude and directions of change in abundances, recruitment, reproductive characteristics, size structures and growth were as great among populations within each species of seagrass as those between the 2 seagrasses Abiotic factors, such as the location of a meadow in relation to depth of water and distance offshore, and the interactions of these factors with recruiting larvae are hypothesised to have greater influence than the species of seagrass in determining the distribution and abundance of these prawns. Spatial and temporal heterogeneity in demography was similar across all spatial scales sampled: among meadows (50 m to 3 km apart) in an estuary and among meadows in all 3 estuaries (10 to 65 km apart) . Variability in demographic processes among populations in the Sydney region was most likely due to stochastic factors extrinsic to the seagrasses then~selves. I conclude that the demography of seagrass-dwelling estuarine populations of M. lntermedium is basically the same throughout the Sydney region, but differs to that of populations of M. intermedium in seagrasses occurring a t higher latitudes in southeastern Australia. This study emphasises the need to consider spatial and temporal heterogeneity in the demographic processes of a species over various scales to assess the magnitude of flexibility in its life history throughout its distribution.
COMBINED HIGH-PASS AND POWER-LINE INTERFERENCE REJECTER FILTER FOR ECG SIGNAL PROCESSING

In this study we introduce one alternative approach for ECG high-pass filtering and interference rejection based on the simple principle for averaging of samples N with a predefined distance between them D. FilterDxN has a comb frequency characteristic with high-pass cut-off defined by the number of samples N and zeros at the integer ratio of the sampling frequency fs divided by the number of samples D. For a predefined fs, FilterDxN is easily adjusted to different cut-off and zero frequencies only by changing D and N. In this work, we present the mathematical background for deriving the frequency response of FilterDxN, as well as one particular application of the filter, i.e. Filter10x19 designed for fs=250 Hz, high-pass at 1 Hz, zero at 50 Hz. Tests with both standardized and real ECG signals proved that Filter10x19 is capable to remove very intensive baseline wanderings, and to fully suppress 50 Hz interferences with minimal affect on the ECG waveform. FilterDxN would be preferable in ECG systems operating in real time because of its linear filter equation with integer coefficients that hasten the speed of computations.