Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of USG and CT scan in evaluating ovarian lesions

Introduction: Ultrasound helps by detecting lesions, give idea about its internal structure and also give opportunity to evaluate other abdominal organs. However evaluation by CT scan can give additional information, which can modify the course of treatment and prognosis of patient. Materials and methods: Study comprise of 84 patients who were evaluated with ultrasonography and CT scan of abdomen and pelvis. Ovarian pathologies were categorized with benign, malignant and metastasis and compared with histopathological diagnosis or conservative treatment follow up. Results: 84 patients were evaluated; CT scan and sonography are excellent noninvasive modality to differentiate ovarian masses from benign and malignant lesions and both imaging techniques seem to be comparable in differentiation of malignant from benign ovarian tumors. CT scan was more sensitive than ultrasonography, but sonography is more specific than CT scan in diagnosis of malignant lesions. Ultrasonography has high positive predictive value as compare to CT scan to diagnose malignant lesions. Conclusion: Ultrasound by virtue of non-invasiveness, lack of radiation hazard and by ability to demonstrate structural changes in organ is investigation of choice in ovarian pathology and it can easily detect solid to cystic lesions and characterize the size, shape and extent of lesion. Computerized Tomography is particularly useful to know the enhancement pattern of the lesion, density and extent and staging of malignancies.
Variations in surface ozone at Nainital: A high-altitude site in the central Himalayas

Surface ozone measurements have been made for the first time at Nainital (29.37 degrees N, 79.45 degrees E, 1958 m amsl), a high-altitude site in the central Himalayas, between October 2006 and December 2008. Diurnal variations in ozone do not show the daytime photochemical build-up typical of urban or rural sites. The seasonal variation shows a distinct ozone maximum in late spring (May; 67.2 +/- 14.2 ppbv) with values sometimes exceeding 100 ppbv and a minimum in the summer/monsoon season (August; 24.9 +/- 8.4 ppbv). Springtime ozone values in the central Himalayas are significantly higher than those at another high-altitude site (Mt. Abu) in the western part of India. Seasonal variations in ozone and the processes responsible for the springtime peak are studied using meteorological parameters, insolation, spatial and temporal classifications of air mass trajectories, fire counts, and simulations with a chemical transport model. Net ozone production over the Northern Indian Subcontinent in regionally polluted air masses is estimated to be 3.2 ppbv/day in spring but no clear build-up is seen at other times of year. Annual average ozone values in regionally polluted air masses (47.1 +/- 16.7 ppbv) and on high insolation days (46.8 +/- 17.3 ppbv) are similar. Background ozone levels are estimated to be 30-35 ppbv. Regional pollution is shown to have maximum contribution (16.5 ppbv) to ozone levels during May-June and is about 7 ppbv on an annual basis, while the contribution of long-range transport is greatest during January-March (8-11 ppbv). The modeled stratospheric ozone contribution is 2-16 ppbv. Both the trajectory analysis and the model suggest that the stratospheric contribution is 4-6 ppbv greater than the contribution from regional pollution. Differences in the seasonal variation of ozone over high-altitude sites in the central Himalayas (Nainital) and western India (Mt. Abu) suggest diverse regional emission sources in India and highlight the large spatial and temporal variability in ozone over the Indian region.
Performance of an indigenous b-mercaptoethanol-modified antigen in comparison with a commercial reference in direct agglutination test for detection of canine visceral leishmaniasis

IP: 54.70. 40.11 On: Tue, 11 Dec 2018 10:15:57 Performance of an indigenous b-mercaptoethanolmodified antigen in comparison with a commercial reference in direct agglutination test for detection of canine visceral leishmaniasis Saul José Semião-Santos, Laura Barral Veloso, Paulo Paes de Andrade, Marcia Almeida de Melo, Luis Miguel Lourenço Martins, Artur Armando de Moura Marinho, José Antunes Afonso de Almeida, Lénea Maria da Graça Campino and Abdallah el Harith3
Impact of suborbital climate changes in the North Atlantic on ice sheet dynamics at the Mid‐Pleistocene Transition

pervasive feature across our study. Negative excursions in the benthic d 18 O time series observed at the times of IRD events may be related to glacio-eustatic changes due to ice sheets retreats and/or to changes in deep hydrography. Time series analysis on surface water proxies (IRD, SST and planktonic d 18 O) of the interval between MIS 31 to MIS 26 shows that the timing of these millennial-scale climate changes are related to half-precessional (10 kyr) components of the insolation forcing, which are interpreted as cross-equatorial heat transport toward high latitudes during both equinox insolation maxima at the equator.
Tilburg University Evaluating manifest monotonicity using Bayes factors

Users may download and print one copy of any publication from the public portal for the purpose of private study or research You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright, please contact us providing details, and we will remove access to the work immediately and investigate your claim.
mTORC 1 and mTORC 2 regulate insulin secretion through Akt in INS-1 cells

Regulated associated protein of mTOR (Raptor) and rapamycin-insensitive companion of mTOR (rictor) are two proteins that delineate two different mTOR complexes, mTORC1 and mTORC2 respectively. Recent studies demonstrated the role of rictor in the development and function of b-cells. mTORC1 has long been known to impact b-cell function and development. However, most of the studies evaluating its role used either drug treatment (i.e. rapamycin) or modification of expression of proteins known to modulate its activity, and the direct role of raptor in insulin secretion is unclear. In this study, using siRNA, we investigated the role of raptor and rictor in insulin secretion and production in INS-1 cells and the possible cross talk between their respective complexes, mTORC1 and mTORC2. Reduced expression of raptor is associated with increased glucose-stimulated insulin secretion and intracellular insulin content. Downregulation of rictor expression leads to impaired insulin secretion without affecting insulin content and is able to correct the increased insulin secretion mediated by raptor siRNA. Using dominant-negative or constitutively active forms of Akt, we demonstrate that the effect of both raptor and rictor is mediated through alteration of Akt signaling. Our finding shed new light on the mechanism of control of insulin secretion and production by the mTOR, and they provide evidence for antagonistic effect of raptor and rictor on insulin secretion in response to glucose by modulating the activity of Akt, whereas only raptor is able to control insulin biosynthesis. Key Words
Measurement of the EBL through a combined likelihood analysis of gamma-ray observations of blazars with the MAGIC telescopes

The extragalactic background light (EBL) is the radiation accumulated through the history of the Universe in the wavelength range from the ultraviolet to the far infrared. Local foregrounds make the direct measurement of the diffuse EBL notoriously difficult, while robust lower limits have been obtained by adding up the contributions of all the discrete sources resolved in deep infrared and optical galaxy observations. Gamma-ray astronomy has emerged in the past few years as a powerful tool for the study of the EBL: very-high-energy (VHE) photons traversing cosmological distances can interact with EBL photons to produce e$^+$e$^-$ pairs, resulting in an energy-dependent depletion of the gamma-ray flux of distant sources that can be used to set constraints on the EBL density. The study of the EBL is one of the key scientific programs currently carried out by the MAGIC collaboration. We present here the results of the analysis of 32 VHE spectra of 12 blazars in the redshift range 0.03 - 0.94, obtained with over 300 hours of observations with the MAGIC telescopes between 2010 and 2016. A combined likelihood maximization approach is used to evaluate the density and spectrum of the EBL most consistent with the MAGIC observations. The results are compatible with state-of-the-art EBL models, and constrain the EBL density to be roughly within $\simeq 20\%$ of the nominal value in such models. The study reveals no anomalies in gamma-ray propagation in the large optical depth regime - contrary to some claims based on meta-analyses of published VHE spectra.
A novel, high resolution, non-contact channel temperature measurement technique

An in-situ optical technique based on infrared emission spectroscopy has been developed for noncontact measurement of the temperature of a hot spot in the gate channel of a GaAs metal/semiconductor field effect transistor (MESFET). This method was demonstrated on powered and unpowered GaAs MESFETs, attaining a spatial resolution of 0.5 /spl mu/m.
Computational ghost imaging with nondegenerate wavelength light source

Nondegenerate-wavelength computational ghost imaging (CGI) using thermal and quantum light sources is studied theoretically and experimentally. We first demonstrate a high-quality computational ghost image can be obtained when the wavelength of computed light is different from the light detected by bucket detector. Two spatially separated nondegenerate quantum light fields are correlated in this experiment, providing a powerful evidence that non-local quantum correlations is indispensable in CGI with quantum source. Compared with the necessary light with short wavelength in previous works, the light illuminating the object has longer wavelength light in strong atmospheric turbulence, bring about a nondegenerate-wavelength computational ghost image with higher spatial resolution than that of conventional CGI.
Performance and Performance Persistence of European Socially Responsible Funds: French Evidence

In this paper, we investigate the performance, performance persistence, investment styles and timing abilities of French Socially Responsible Investment (SRI) funds investing in European equities, in comparison with characteristics-matched conventional funds. Based on robust conditional multi-factor models, which control for home biases and spurious regression biases, our results show that differences in the overall performance of French SRI funds and their matched-samples are, in general, not statistically significant. However, SRI funds are significantly better market timers and significantly worse stock pickers than their conventional peers. With regard to investment styles, SRI funds show significantly higher market betas and significantly lower exposure to small-caps than conventional funds, in clear contrast with most previous SRI fund studies. Furthermore, we do not find evidence of performance persistence for French SRI funds, whereas conventional funds exhibit significant persistence in performance at short-term horizons. In general, the difference between funds with good past performance and bad past performance is significantly lower for the SRI funds than for their conventional counterparts.
Speaker-trained recognition using allophonic enrollment models

We introduce a method for performing speaker-trained recognition based on context-dependent allophone models from a large-vocabulary, speaker-independent recognition system. A set of speaker-enrollment templates is selected from the context-dependent allophone models. These templates are used to build representations of the speaker-enrolled utterances. The advantages of this approach include improved performance and portability of the enrollments across different acoustic models. We describe the approach used to select the enrollment templates and how to apply them to speaker-trained recognition. The approach has been evaluated on an over-the-telephone, voice-activated dialing task and shows significant performance improvements over techniques based on context-independent phone models or general acoustic model templates. In addition, the portability of enrollments from one model set to another is shown to result in almost no performance degradation.
Glide-symmetric magnetic topological crystalline insulators with inversion symmetry

It is known that three-dimensional systems with glide symmetry can be characterized by a $Z_2$ topological invariant, and it is expressed in terms of integrals of the Berry curvature. In the present paper, we study the fate of this topological invariant when the inversion symmetry is added. There are two ways to add the inversion symmetry, leading to the space groups No.~13 and No.~14. In the space group 13, we find that the glide-$Z_2$ invariant is expressed solely from the irreducible representations at high-symmetry points in $k$ space. It constitutes the $Z_2\times Z_2$ symmetry-based indicator for this space group, together with another $Z_2$ representing the Chern number modulo 2. In the space group 14, we find that the symmetry-based indicator $Z_2$ is given by a combination of the glide-$Z_2$ invariant and the Chern number. Thus, in the space group 14, from the irreducible representations at high-symmetry points we can only know possible combinations of the glide-$Z_2$ invariant and the Chern number, but in order to know each value of these topological numbers, we should calculate integrals of the Berry curvature. Finally, we show that in both cases, the symmetry-based indicator $Z_4$ for inversion symmetric systems leading to the higher-order topological insulators is directly related with the glide-$Z_2$ invariant and the Chern number.
Calcium sulfate dihydrate (gypsum) scale inhibition by PAA, PAPEMP, and PAA/PAPEMP blend

The effects of poly(acrylic acid), PAA, polyamino polyether methylene phosphonic acid, PAPEMP, and PAA / PAPEMP blend on calcium sulfate dihydrate (gypsum) are reported in this paper. It has been found that gypsum inhibition by PAA increases with increasing PAA concentration. Among the various phoshonates (i.e., aminotris(methylene phosphonic acid), AMP; hydroxyphosphono acetic acid, HPA; hydroxyethylidene 1,1-diphosphonic acid, HEDP; 2-phosphonobutane 1,2,4-tricarboxylic acid, PBTC; and polyether polyamino phosphonic acid, PAPEP) evaluated, PAPEMP shows the best inhibition for gypsum precipitation. It has also been observed that presence of PAPEMP exhibits synergistic effect on the performance of PAA. Results on calcium ion compatibility of various phosphonates show that PAPEMP compared to other phosphonates tested show higher tolerance to calcium ions.
Zero-voltage switching implementation of a virtual infinite capacitor CONFERENCE

We define the virtual infinite capacitor (VIC) as a nonlinear capacitor that has the property that for an interval of the charge Q (the operating range), the voltage V remains constant. We propose a lossless zero-voltage switching realization for the VIC using a switched power converter and capacitors. This circuit is simple but it requires a complex control algorithm that we describe. There are two controllers needed to operate a VIC: the voltage controller acts fast to maintain the desired terminal voltage, while the charge controller acts more slowly and maintains the charge Q in the desired operating range by influencing the incoming current. The VIC is useful as a filter capacitor for various applications, for example power factor compensators (PFC), as we describe. In spite of using small capacitors, the VIC can replace a very large capacitor in applications that do not require substantial energy storage. We give simulation results for a PFC working in critical conduction mode with a VIC for output voltage filtering.
System Transition and Structural Change Processes in the Energy Efficiency of Residential Sector: Evidence from EU Countries

This paper aims to analyse the evolution of energy efficiency systems for the residential sector of EU countries over the past twenty years and the associated process of structural change occurred in EU economies. To this purpose, we develop a set of indicators to measure some significant characteristics of the energy efficiency systems and map European countries in terms of four dimensions: energy system, innovation system, policy mix design and export competitiveness. Building on these indicators we develop a cluster analysis identifying non-arbitrary homogeneous country groups according to several characteristics in order to investigate the co-evolution of technological trajectories, energy use performance and structural change in this specific domain. Results suggest the distinction of EU countries into four groups, that are individually and comparatively scrutinized shedding light on how the four dimensions here considered dynamically evolved and interacted within and across countries. Empirical findings reveal that the design of the domestic policy mix may play a key role in shaping technological trajectories and structural change processes that in turns allow an increase in external competitiveness performance. Such positive impact appears to be closely related to the quality and quantity of international relationships with main economic partners.
Modelling and CFD Simulation of Hydrodynamics and Mass Transfer in a Miniature Bubble Column Bioreactor

Computational fluid dynamics (CFD), Flow pattern, Miniature bubble column bioreactor(MBCR), Volumetric mass transfer coefficient ( L K a ). Computational fluid dynamics (CFD) was used to study a 3D simulation of hydrodynamics and mass transfer in a miniature bubble column bioreactor (MBCR). The ability of a two-fluid phase model to predict flow behaviour was studied by applying the laminar and turbulence models. The volumetric mass transfer coefficient (KLa) was predicted at different superficial gas velocities and sparger pore sizes. The simulation results of KLa showed a good agreement with the experimental data in a 30 μm sparger pore size. A similar behaviour was observed in the liquid circulation, gas distribution and their relation in the MBCR like as large scale bubble columns. Increasing the superficial gas velocity led to an increase in the liquid circulation near the walls, followed by an increase of the gas holdup and KLa. Decreasing the pore size of sparger produced smaller bubbles which resulted in increased gas holdup and KLa. Linear relation between the superficial gas velocity and interfacial area was investigated as the same as a short bubble columns. Observation of the similar behaviour in the hydrodynamic characteristics of traditional and miniature scales of the bubble columns may encourage the researchers to develop the MBCRs in the high throughput processes.
Cohesive Features of Deep Text Comprehension Processes

This study investigates how cohesion manifests in readers’ thought processes while reading texts when they are instructed to engage in self-explanation, a strategy associated with deeper, more successful comprehension. In Study 1, college students (n = 21) were instructed to either paraphrase or self-explain science texts. Paraphrasing was characterized by greater cohesion in terms of lexical overlap whereas selfexplanation included greater lexical diversity and more connectives to specify relations between ideas. In Study 2, adolescent students (n = 84) were provided with instruction and practice in self-explanation and reading strategies across 8 sessions. Self-explanations increased in lexical diversity but became more causally and semantically cohesive over time. Together, these results suggest that cohesive features expressed in think alouds are indicative of the depth of students’ comprehension processes.
New Insights into Pelagic Migrations : Implications for Ecology and Conservation

Highly pelagic large marine vertebrates have evolved the capability of moving across large expanses of the marine environment; some species routinely move across entire ocean basins. Our understanding of these movements has been enhanced by new technologies that now allow us to follow their movements over great distances and long time periods in great detail. This technology provides not only detailed information on the movements of a wide variety of marine species, but also detailed characteristics of the habitats they use and clues to their navigation abilities. Advances in electronic tracking technologies have been coupled with rapid development of statistical and analytical techniques. With these developments, conservation of highly migratory species has been aided by providing new information on where uncommon or endangered species go, what behaviors they perform and why, which habitats are critical, and where they range, as well as, in many cases, better estimates of their population size and the interconnectedness of subpopulations. Together these tools are providing critical insights into the ecology of highly pelagic marine vertebrates that are key for their conservation and management. 73 A nn u. R ev . E co l. E vo l. Sy st . 2 01 2. 43 :7 396 . D ow nl oa de d fr om w w w . a nn ua lr ev ie w s. or g by U ni ve rs ity o f A lb er ta o n 11 /3 0/ 12 . F or p er so na l u se o nl y. ES43CH04-Costa ARI 26 September 2012 10:32
Sample size determination and power analysis for modified Cohen's kappa statistic

In this research, the statistical inference of the problem of measuring agreement between two observers who employ measurements on a 2-point nominal scale is focused. One of the most popular indices of agreement was originally presented by Cohen [2], namely Cohen’s kappa statistic ( ) C κ , as a reliability index for measuring agreement between two raters employing nominal scales. Sinha et al. [5] pointed out some undesirable features of C κ and provided modification to it by proposing the modified Cohen’s kappa M κ to deal with the full strength of agreement and disagreement between the two raters. Thus making adequate interpretation of C κ in assessing agreement may be possible by examining the expressions for M κ . The purpose of this study is to determine the sample size for testing hypothesis based on C κ and M κ . Moreover, the power of test for C κ and M κ is computed. The result of this study shows that M κ is more efficient than C κ . Mathematics Subject Classification: 97K80
Estimating time averages via randomly-spaced observations

To estimate continuous-time averages via randomly-spaced observations of discrete-event systems, we develop a point-process framework and use it to generalize both regenerative and stationary- process oriented simulation methodologies. We give consistent estimators, central limit theorems, and an effective bias-reducing jackknife. The impact on indirect estimation of transaction (customer) averages is discussed.
Ontology augmentation through matching with web tables

In this paper, we examine the possibility of using data collected from millions of tables on the Web to extend an ontology with new attributes. There are two major challenges in using such a large number of potentially noisy tables for this task. First, table columns need to be matched to create groups of columns that represent a new (or existing) attribute for a particular class in the ontology. Second, the column groups need to be ranked according to their “usefulness” in augmenting the ontology. We show several approaches to addressing these challenges and report on the results of our extensive experiments using Web Tables from the Web Data Commons corpus, and using the DBpedia Ontology as our target ontology.