cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 1 of Efficacy and safety of compassionate use for rare diseases: a scoping review from 1991 to 2022
Creators: name: Wu, Jiayu
name: Yang, Yang
name: Yu, Jiaxin
name: Qiao, Luyao
name: Zuo, Wei
name: Zhang, Bo
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Table S1: List and details of CU studies. *Adopted the publication time of the studies, so these studies were not included in the time comparison.
Proyecto Mamá Feliz: ambivalencia afectiva durante el embarazo.
Creators: name: Osma, J.
name: Andreu, L.
name: Suso, C.
name: Crespo, E.
Publisher: name: Psicosomàtica y Psiquiatría
Year: 2021

description: Psicosomàtica y Psiquiatría, Núm. 1 (2017): abril-mayo-junio
Modulators of synaptic plasticity in the hippocampus
Creators: name: Robillard, Julie
Publisher: name: University of British Columbia
Year: 2010

description: The two main forms of hippocampal synaptic plasticity, long-term potentiation (LTP) and long-term depression (LTD) represent a cellular model for learning and memory. While synaptic plasticity has been studied extensively, questions still remain on how exogenous and endogenous modulators can impact hippocampal LTP and LTD. Here, we use electrophysiology and imaging to investigate the effects of two types of modulators on synaptic plasticity. First, we look at the effects of an antagonist of the 5-HT6 re ceptor on LTP and LTD in two regions of the hippocampus, the CAl and the dentate gyrus (DG). We find that our 5-HT6 antagonist differentially affects LTP in each region and blocks hippocampal LTD. These findings are the first report of an involvement of the 5-HT6 receptor in synaptic plasticity and are particularly relevant in light of evidence showing a key role of the 5-HT6 receptor in cognition and memory. Second, we look at the effects of glutathione (GSH) supplementation on LTP in aged animals. We show that supplementing aged mice with a precursor for GSH formation reverses the mechanisms underlying hippocampal LTP from L-type calcium channel dependence back to NMDA receptor-dependence. These results suggest an important role for GSH as a modulator of synaptic plasticity in aging.
Gerd Althoff, Rules and Rituals in Medieval Power Games. A German Perspective, Leiden (Brill Academic Publishers) 2019
Creators: name: Huffman, Joseph P.
Publisher: name: Francia-Recensio
Year: 2020

description: Gerd Althoff, Rules and Rituals in Medieval Power Games. A German Perspective, Leiden (Brill Academic Publishers) 2019, XII–282 p., 4 ill. (Medieval Law and Its Practice, 29), ISBN 978-90-04-41531-7, EUR 121,00.
description: Francia-Recensio, 2020/4
Improved Navigation Solution Utilizing Antenna Diversity Systems in Multipath Fading Environments
Creators: name: Sadrieh, Seyed Nima
Publisher: name: Graduate Studies
Year: 2012
Subjects: subject: Engineering--Electronics and Electrical
subject: GNSS
subject: Signal processing
subject: GPS
subject: Multipath
subject: Positioning
subject: Navigation
subject: Diversity
subject: Fading

description: There is an intense effort on increasing the signal detection and tracking capabilities of Global Navigation Satellite System (GNSS) receivers in shaded areas where receivers suffer significant degradation due to attenuation and multipath. In order to overcome signal attenuation and multipath fading, more processing gain is required. Increasing the coherent integration time is traditionally known as the main source of processing gain. However, the mobile user is typically in motion while using the receiver, which limits the coherent integration gain. Diversity schemes constitute another source of processing gain that can be utilized to enhance signal detection and parameter estimation performance by providing additional processing gain. Given the coherent integration time limit and spatial/temporal characters of indoor GNSS channels, a diversity system composed of spatially separated antennas is developed and tested in this thesis. The performance of this diversity system is assessed at three different levels namely signal detection, parameter estimation and navigation solution. The performance of different combining methods at different levels is assessed theoretically and practically using real GPS L1 data collected in different indoor environments. An analysis of different metrics such as deflection coefficients, ROC curves and satellite availability, shows that the detection performance is considerably enhanced when utilizing the above diversity scheme. Proposing an analytical model based on sphere of scatterers model and considering the antenna gain pattern, Doppler measurements error sources in multipath environment are characterized. It is shown that Doppler measurements are of limited value for positioning purpose in harsh multipath environments. Combining pseudoranges of diversity branches based on their instantaneous qualities, represented by their epoch-by-epoch SNR, the pseudorange precision is enhanced significantly. Finally, improved satellite availability, along with enhanced pseudorange, makes a remarkable improvement in positioning accuracy.
IN01052 - Halsi Grant of Kākusthavarman
Creators: name: Balogh, Dániel
Publisher: name: Zenodo
Year: 2020

description: [caption id="attachment_5878" align="alignnone" width="223"] Cakratīrtha, Halsi, Karnataka. Copper plate charter of Kākusthavarman, inked impression.[/caption]
Numerical heterodyne holography with two-dimensional photodetector arrays
Creators: name: Clerc, Frédérique Le
name: Collot, Laurent
name: Gross, Michel
Publisher: name: arXiv
Year: 2011
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We present an original heterodyne holography method for digital holography that relies on two-dimensional heterodyne detection to record the phase and the amplitude of a f ield. The technique has been tested on objects as much as 13 mm in size. Consistency checks were performed, and high-resolution images were computed. We show the requirement for a spatial f ilter to select properly sampled near-axis photons. Heterodyne holography is superior to off-axis digital holography for both f ield of view and resolution.
Performance Study of SAGD with Non-Condensing Gases in Oil Sands Reservoirs
Creators: name: Zhang, Yanpeng
Publisher: name: Graduate Studies
Year: 2017
Subjects: subject: Engineering--Petroleum
subject: Non-Condensing Gases
subject: SAGD

description: This thesis is focused on the study of non-condensing gases (nitrogen, carbon dioxide and flue gas) injection to assist steam assisted gravity drainage (SAGD) in oil sands reservoirs. Reservoir simulation results indicate that the oil recovery factor of SAGD with non-condensing gases injection is higher than that of the conventional SAGD method. The conventional SAGD and the SAGD with non-condensing gases are compared in oil sands reservoirs with initial water. SAGD with nitrogen or carbon dioxide injection is superior in terms of cumulative oil recovery and a steam-oil ratio. With an increase in the initial water saturation the advantages of SAGD with nitrogen or carbon dioxide become even more significant. Nitrogen stays at the edge of a steam chamber and reduces the amount of steam that penetrates into the initial water in a formation. This is validated by changes in the steam chamber during production. Carbon dioxide concentrates at the top and edges of a steam chamber as nitrogen, but more importantly it reduces the oil viscosity and increases the oil flow rate in the steam chamber. Flue gas is comprised of 85% nitrogen and 15% carbon dioxide. We compare four models based on the simulation results and economic benefits in this thesis: conventional SAGD, SAGD with nitrogen, SAGD with carbon dioxide and SAGD with flue gas and. The parameters are optimized to serve the practical production.
Experimental and Theoretical Investigation on Compressive Behaviour of CFRP- and SFRP Confined Concrete Cylinders
Creators: name: Salameh, Nisreen
Publisher: name: Graduate Studies
Year: 2015
Subjects: subject: Engineering
subject: SFRP

description: A combined experimental and theoretical investigation into the compressive behaviour of CFRP- and SFRP-confined concrete is presented in this thesis. The experimental investigation included testing of small-scale unreinforced CFRP- and SFRP-confined concrete cylinders under axial compression. Fundamental aspects of compression behaviours such as failure mode, ultimate strength, ultimate strain, stress-strain response, ductility enhancement were closely examined. The theoretical investigation included performance assessment of some existing empirical, analytical and design code confinement. Modification to one of the existing models is proposed. The new model provided more accurate predictions of the ultimate strength, ultimate axial strain and stress-strain response of FRP-confined concrete Furthermore, the Drucker-Prager (DP) plasticity model parameters were derived and implemented in numerical Finite Element analyses to simulate the behaviour of FRP-confined concrete. It has been found that the DP model can give close predictions of confined concrete compressive behaviour should accurate material parameters be defined.
Three-Dimensional Analysis of Wakefields Generated by Flat Electron Beams in Planar Dielectric-Loaded Structures
Creators: name: Mihalcea, D.
name: Piot, P.
name: Stoltz, P.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: An electron bunch passing through dielectric-lined waveguide generates $\check{C}$erenkov radiation that can result in high-peak axial electric field suitable for acceleration of a subsequent bunch. Axial field beyond Gigavolt-per-meter are attainable in structures with sub-mm sizes depending on the achievement of suitable electron bunch parameters. A promising configuration consists of using planar dielectric structure driven by flat electron bunches. In this paper we present a three-dimensional analysis of wakefields produced by flat beams in planar dielectric structures thereby extending the work of Reference [A. Tremaine, J. Rosenzweig, and P. Schoessow, Phys. Rev. E 56, No. 6, 7204 (1997)] on the topic. We especially provide closed-form expressions for the normal frequencies and field amplitudes of the excited modes and benchmark these analytical results with finite-difference time-domain particle-in-cell numerical simulations. Finally, we implement a semi-analytical algorithm into a popular particle tracking program thereby enabling start-to-end high-fidelity modeling of linear accelerators based on dielectric-lined planar waveguides.
description: 12 pages, 2 tables, 10 figures
Longitudinal dependence of two-particle momentum correlations from NEXSPHERIO model
Creators: name: Sharma, Monika
name: Pruneau, Claude
name: Gavin, Sean
name: Takahashi, Jun
name: de Souza, R. Derradi
name: Kodama, T.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The rapidity dependence of two-particle momentum correlations can be used to probe the viscosity of the liquid produced in heavy nuclei collisions at RHIC. We reexamine this probe in light of the recent experimental analyses of the azimuthal-angle dependence of number correlations, which demonstrate the importance of initial state fluctuations propagated by hydrodynamic flow in these correlations. The NEXSPHERIO model combines fluctuating initial conditions with viscosity-free hydrodynamic evolution and, indeed, has been shown to describe azimuthal correlations. We use this model to compute the number density correlation $R_{2}$ and the momentum current correlation function {\it C}, at low transverse momentum in Au+Au collisions at $\sqrt{s_{NN}} = $~200 GeV. {\it C} is sensitive to details of the collision dynamics. Its longitudinal width is expected to broaden under the influence of viscous effects and narrow in the presence of sizable radial flow. While NEXSPHERIO model qualitatively describes the emergence of a near-side ridge-like structure for both the $R_2$ and {\it C} observables, we find that it predicts a longitudinal narrowing of the near side peak of these correlation functions for increasing number of participants in contrast with recent observations by the STAR Collaboration of a significant broadening in most central collisions relative to peripheral collisions.
description: 8 pages, 5 figures, updated version based on PRC referee's comments
Thermo-Oxidative and Combustion Analysis of a Light Oil, an Athabasca Bitumen and its Fractions: A New Approach
Creators: name: Rios Chiquillo, Ericka Y.
Publisher: name: Graduate Studies
Year: 2012
Subjects: subject: Engineering--Chemical
subject: Engineering--Petroleum
subject: ISC
subject: HPAI
subject: TG/DSC
subject: PDSC
subject: Thermo-Oxidative

description: Pressurized Differential Scanning Calorimetry (PDSC) and Thermo-gravimetric/ Differential Scanning Calorimetry (TG/DSC) have been widely employed as thermal analytical tools to investigate and fingerprint the distillation/thermal cracking and oxidation/combustion behavior of crude oils. TG/DSC analysis is often described in the literature as a tool for investigating in situ combustion or High Pressure Air injection (HPAI) processes. It must be understood that while this technique reveals useful information on the thermal behavior of crude oils in inert or oxidation environments, the low operating pressure associated with these tests limits their utility to a fingerprinting function. PDSC tests performed at pressures which are representative of reservoir conditions and with the oil in contact with native core material have been found to have more direct application for predicting the behavior of combustion projects. A series of TG/DSC and PDSC studies were performed to investigate and compare the distillation/thermal cracking/oxidation/combustion characteristics of a 37.5°API oil (light oil), an Athabasca bitumen, and Athabasca maltenes and asphaltenes fractions in contact with their respective native core materials. The oxidation/combustion characteristics as observed from the heat flow traces were classified in terms of Low Temperature Range (LTR), High Temperature Range (HTR) and Negative Temperature Gradient Region (NTGR). Temperatures at which the heat flow rates achieve local maximums in the LTR and HTR have been identified for each of the samples at the operating pressures and heating rates examined. The key observation from the study is that while the heat flow traces show similar behaviors within the LTR, HTR and NTGR, the actual values for the important parameters (peak temperatures, maximum heat flow rates, heat generated in the LTR and HTR) are dependent on the operating conditions of the specific test. Heat flow and mass loss traces as determined using the TG/DSC were used to calculate apparent heats of reaction traces. The range of values of the apparent heats of reactions as the temperatures pass through the LTR, NTGR, and HTR regions were used to interpret the nature of the mass loss mechanisms within the different temperature ranges.
Uncertainty in coupled models of cyber-physical systems
Creators: name: Acosta, Maribel
name: Hahner, Sebastian
name: Koziolek, Anne
name: Kühn, Thomas
name: Mirandola, Raffaela
name: Reussner, Ralf
Publisher: name: Association for Computing Machinery (ACM)
Year: 2022

description: The development of cyber-physical systems typically involves the association between multiple coupled models that capture different aspects of the system and the environment where it operates. Due to the dynamic aspect of the environment, unexpected conditions and uncertainty may impact the system. In this work, we tackle this problem and propose a taxonomy for characterizing uncertainty in coupled models. Our taxonomy extends existing proposals to cope with the particularities of coupled models in cyber-physical systems. In addition, our taxonomy discusses the notion of uncertainty propagation to other parts of the system. This allows for studying and (in some cases) quantifying the effects of uncertainty on other models in a system even at design time. We show the applicability of our uncertainty taxonomy in real use cases motivated by our envisioned scenario of automotive development.
Conversion of bright magneto-optical resonances into dark at fixed laser frequency for D2 excitation of atomic rubidium
Creators: name: Auzinsh, Marcis
name: Berzins, Andris
name: Ferber, Ruvin
name: Gahbauer, Florian
name: Kalvans, Linards
name: Mozers, Arturs
name: Opalevs, Dmitrijs
Publisher: name: arXiv
Year: 2011
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Nonlinear magneto-optical resonances on the hyperfine transitions belonging to the D2 line of rubidium were changed from bright to dark resonances by changing the laser power density of the single exciting laser field or by changing the vapor temperature in the cell. In one set of experiments atoms were excited by linearly polarized light from an extended cavity diode laser with polarization vector perpendicular to the light's propagation direction and magnetic field, and laser induced fluorescence (LIF) was observed along the direction of the magnetic field, which was scanned. A low-contrast bright resonance was observed at low laser power densities when the laser was tuned to the Fg=2 --> Fe=3 transition of Rb-87 and near to the Fg=3 --> Fe=4 transition of Rb-85. The bright resonance became dark as the laser power density was increased above 0.6mW/cm2 or 0.8 mW/cm2, respectively. When the Fg=2 --> Fe=3 transition of Rb-87 was excited with circularly polarized light in a second set of experiments, a bright resonance was observed, which became dark when the temperature was increased to around 50C. The experimental observations at room temperature could be reproduced with good agreement by calculations based on a theoretical model, although the theoretical model was not able to describe measurements at elevated temperatures, where reabsorption was thought to play a decisive role. The model was derived from the optical Bloch equations and included all nearby hyperfine components, averaging over the Doppler profile, mixing of magnetic sublevels in the external magnetic field, and a treatment of the coherence properties of the exciting radiation field.
description: 9 pages, 7 figures
Network Driven Bio-Data Integration and Mining for Bio-Medical Predictions
Creators: name: Qabaja, Ala
Publisher: name: Graduate Studies
Year: 2013
Subjects: subject: Bioinformatics
subject: FOS: Computer and information sciences
subject: Drug repositioning
subject: pharmaceutical
subject: microarray
subject: text mining
subject: biological networks
subject: enrichment analysis
subject: data integration
subject: Data Mining
subject: biological predictions

description: Drug repositioning is increasingly attracting much attention from pharmaceutical community to tackle the problem of long term development in drug discovery. The complex nature of human diseases, for example cancer, poses major challenges in pharmaceutical industry nowadays. With the increasing amount of research conducted to understand associations between drugs and diseases, a new direction of research has come to light. Thanks to the development of high-throughput technologies to generate tremendous amount of data and to the web-based systems to store and organize the generated data, drug repositioning has become cost and time effective. Since biomolecular interactions and omics-data integration has had success in drug development, we have been motivated to develop a new paradigm that integrates data from three major sources to predict novel therapeutic drug indications. Microarray data, biomedical text mining data and biomolecular interactions are all integrated to predict ranked lists of genes based on their relevance to a particular drug’s or disease’s molecular action. These ranked lists of genes are used as raw input for building a disease-drug connectivity map based on enrichment statistical measure. This integrative paradigm was able to report a sensitivity improvement of 18% and 26% in comparison with using text-mining and microarray data, respectively, independently. In addition, this paradigm was able to predict many clinically validated disease-drug associations that could not be captured with using microarray or text mining data independently. The robustness of the integrative paradigm has been further investigated to predict functional miRNA-disease associations. In here, disease-gene associations from microarray experiments and text mining together with miRNA-gene associations from computational predictions and protein networks have been integrated to build miRNA-disease associations. The findings of the proposed model were validated against gold standard datasets using ROC analysis and results were promising (AUC = 0.81). The proposed integrated approach allowed us to reconstruct functional associations between miRNAs and human diseases and to uncover functional roles of newly discovered miRNAs
title: Uncertainty of a manometric method for determining the humidity of fibrous materials
Creators: name: Khakimov, O.Sh.
name: Muminov, N.Sh.
name: Hamidov, J.A.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2020

description: A manometric method for determining the moisture content of fibrous materials is considered. The scheme and principle of operation of the device. A formula is given for calculating the moisture content of a material. It is emphasized that the two-chamber manometric method for determining the moisture content of materials is an indirect measurement. To determine the measurement result and its uncertainty, it is necessary to justify and choose one of the appropriate methods for determining the measurement results and assess their uncertainty — the linearization method or the reduction method. The main sources of uncertainty are identified. The pairwise correlation between the estimates of the input quantities and the verification of the condition for the insignificance of the remainder term in the expansion of the measurement model in the Taylor series are estimated. Formulas for determining the sensitivity coefficients of the total standard uncertainty to the standard uncertainties of input quantities are presented. Standard, summary and extended uncertainties are provided.
Expansion of a wave-packet in lattices with disorder and nonlinearity
Creators: name: Naether, Uta
name: Rojas-Rojas, Santiago
name: Martinez, Alejandro J.
name: Sützer, Simon
name: Tünnermann, Andreas
name: Nolte, Stefan
name: Molina, Mario I.
name: Vicencio, Rodrigo A.
name: Szameit, Alexander
Publisher: name: arXiv
Year: 2012
Subjects: subject: Optics (physics.optics)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We show, theoretically and experimentally, the counterintuitive result that an increase of disorder can result in an enhanced spreading of an initially localized excitation. Moreover, we find that adding a focusing nonlinearity facilitates the expansion of the wave-packet even further by increasing its effective size. We find a clear transition between between the regions of enhanced spreading (weak disorder) and localization (strong localization) described by a "diffusion peak".
Building Digital Video Games at School: A Design-Based Study of Teachers’ Design of Instruction and Learning Tasks to Promote Student Intellectual Engagement, Deep Learning and Development of 21st Century Competencies
Creators: name: Lambert, Deborah
Publisher: name: Graduate Studies
Year: 2016
Subjects: subject: Education--Technology
subject: Deep Learning
subject: Intellectual Engagement
subject: 21st century competencies
subject: digital video games
subject: design-based research
subject: macro-cycle

description: With the continuous impact of advancing technologies on learning environments and today’s students, one of the challenges faced by K-12 educators in some Canadian schools is to find innovative pedagogies to intellectually engage students in deep learning of curriculum content and to promote the development and use of 21st century competencies. In an attempt to address this challenge, an intervention, the design and building of digital video games, was collaboratively implemented and explored by a research design team—the researcher, two grade 6 teachers, their students (100) and a professional development leader at a charter school in Calgary, Alberta. This intervention taps into the interest that many students already have in video games and tends to support the learning styles of today’s students. Employing one macro-cycle of the design-based research process, this intervention was adopted into the educational context, explored through the implementation of three learning tasks: game concept development, storyboarding and programming, and assessed as a potential innovative pedagogy to address the problem. This study was guided by two research questions, which focused on: (1) the ways in which teachers’ design of instruction and learning tasks need to shift to implement the intervention; and (2) the impact of the intervention on students’ intellectual engagement, deep learning of curriculum content and the development and use of 21st century competencies. Findings revealed that (1) teachers needed to employ more interaction modes to collaborate and communicate during these tasks; use extensive coaching and scaffolding; continuously use various forms of assessments with feedback loops to assess students’ progress; and use extensive conceptual and divergent thinking; and (2) as students/groups participated in these tasks’ activities, the storyboarding task seemed to represent the area of deepest learning of the curriculum content and highest intellectual engagement, and students seemed to become more proficient in all the 21st century competencies. An assessment of the findings also revealed that the intervention qualifies as a potential and developing effective innovative pedagogy for deep learning, and that findings are significant for informing K-12 educators, school jurisdictions and Alberta Education on the impact and implications of game design-based learning, in school.
The incidence of magnetic fields in massive stars: An overview of the MiMeS Survey Component
Creators: name: Grunhut, J. H.
name: Wade, G. A.
name: Collaboration, the MiMeS
Publisher: name: arXiv
Year: 2011
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: With only a handful of known magnetic massive stars, there is a troubling deficit in the scope of our knowledge of the influence of magnetic fields on stellar evolution, and almost no empirical basis for understanding how fields modify mass loss and rotation in massive stars. Most remarkably, there is still no solid consensus regarding the origin physics of these fields - whether they are fossil remnants, or produced by contemporaneous dynamos, or some combination of these mechanisms. This article will present an overview of the Survey Component of the MiMeS Large Programs, the primary goal of which is to search for Zeeman signatures in the circular polarimetry of massive stars (stars with spectral types B3 and hotter) that were previously unknown to host any magnetic field. To date, the MiMeS collaboration has collected more than 550 high-resolution spectropolarimetric observations with ESPaDOnS and Narval of nearly 170 different stars, from which we have detected 14 new magnetic stars.
description: 5 pages, 2 figures, to appear in proceedings of "Four decades of Research on Massive Stars"
The characterization of ADAMTS-12 in the regulation of human trophoblast invasion in vitro
Creators: name: Zou, Junxuan
Publisher: name: University of British Columbia
Year: 2010

description: The distintegrin-like and metalloproteinase with thrombospondin repeats (ADAMTS) are members of a gene family of secreted, multidomain and multifunctional proteinases that are able to proteolytically degrade a diverse array of cellular, extracellular and extracellular matrix (ECM) substrates. We examined the presence of ADAMTS in first trimester human placenta and only ADAMTS-12 was present in cultures of invasive extravillous cytotrophoblast (EVT) at significantly higher levels than in poorly invasive JEG-3 chorocarcinoma cells. Immunohistochemistry staining of chorionic villi derived from first trimester human placenta demonstrated that ADAMTS-12 was intensively immunolocalized in the cytotrophoblast layer but weakly immunolocalized in the poorly-invasive syncytial trophoblast layer. Gonadotropin-releasing hormone (GnRH)-I and -II increased ADAMTS-12 expression in EVT in time- and concentration-dependent manners, and these two hormones exert functions through different pathways. Loss- or gain-of function studies using siRNA and stable transfection strategies demonstrated that the ADAMTS-12 promotes trophoblast invasion. Surprisingly, this function of ADAMTS-12 is independent of its catalytic activity. C-terminal sequential deletions of ADAMTS-12 demonstrated that the disintegrin-like domain plays crucial role in cellular localization of ADAMTS-12. Laminin-5 is a component of the ECM, influencing cell migration and adhesion. The disintegrin-like domain and ancillary domains of ADAMTS-12 are associated with increased laminin-5 expression in JEG-3 cells through the activation of the ERK/MAPK signaling pathway. The integrin expression repertoire is also modified by ADAMTS-12. In particular, laminin-5 receptor integrin α6β4 is increased by the exogenous expression of ADAMTS-12 in JEG-3 cells. Together, these data support a novel hypothesis that ADAMTS-12 plays a non-redundant role in human trophoblastic cell invasion, which is independent of its catalytic activity but dependent on the disintegrin-like domain and ancillary domains. This role involves alteration of cell-ECM interactions, which leads to a reduction of cell adhesion capability and promotes cell invasion.
The Effect of Vastus Medialis Transection on Patellofemoral Contact Pressure and Patellar Tracking
Creators: name: Sawatsky, Andrew James
Publisher: name: Graduate Studies
Year: 2013
Subjects: subject: Anatomy
subject: Rehabilitation and Therapy
subject: Patellofemoral pain
subject: Knee mechanics
subject: Patellar tracking
subject: Muscle weakness
subject: Joint contact pressure
subject: Knee rehabilitation
subject: Joint biomechanics

description: The purpose of this thesis was to examine the effects of imbalance between the forces exerted by vastus medialis (VM) and vastus lateralis on patellofemoral peak contact pressures, areas, shapes, and patellar tracking before and after the removal of VM. New Zealand White rabbits were used and patellofemoral contact mechanics were evaluated at 30°, 60° and 90° and patellar tracking was recorded from 30°-90° before and after VM transection. Following removal of VM, there were no changes in patellofemoral contact mechanics and patellar tracking. We conclude that VM weakness does not cause changes in rabbit patellofemoral contact mechanics. Since muscular alignment and knee joint geometry are similar in human and rabbits, we question the idea of VM weakness as a cause for patellar mal-tracking and patellofemoral joint pain.
Traffic Instabilities in Self-Organized Pedestrian Crowds
Creators: name: Moussaid, Mehdi
name: Guillot, Elsa G.
name: Moreau, Mathieu
name: Fehrenbach, Jerome
name: Chabiron, Olivier
name: Lemercier, Samuel
name: Pettre, Julien
name: Appert-Rolland, Cecile
name: Degond, Pierre
name: Theraulaz, Guy
Publisher: name: arXiv
Year: 2012
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: In human crowds as well as in many animal societies, local interactions among individuals often give rise to self-organized collective organizations that offer functional benefits to the group. For instance, flows of pedestrians moving in opposite directions spontaneously segregate into lanes of uniform walking directions. This phenomenon is often referred to as a smart collective pattern, as it increases the traffic efficiency with no need of external control. However, the functional benefits of this emergent organization have never been experimentally measured, and the underlying behavioral mechanisms are poorly understood. In this work, we have studied this phenomenon under controlled laboratory conditions. We found that the traffic segregation exhibits structural instabilities characterized by the alternation of organized and disorganized states, where the lifetime of well-organized clusters of pedestrians follow a stretched exponential relaxation process. Further analysis show that the inter-pedestrian variability of comfortable walking speeds is a key variable at the origin of the observed traffic perturbations. We show that the collective benefit of the emerging pattern is maximized when all pedestrians walk at the average speed of the group. In practice, however, local interactions between slow- and fast-walking pedestrians trigger global breakdowns of organization, which reduce the collective and the individual payoff provided by the traffic segregation. This work is a step ahead toward the understanding of traffic self-organization in crowds, which turns out to be modulated by complex behavioral mechanisms that do not always maximize the group's benefits. The quantitative understanding of crowd behaviors opens the way for designing bottom-up management strategies bound to promote the emergence of efficient collective behaviors in crowds.
description: Article published in PLoS Computational biology. Freely available here: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002442
Synthesis, Crystal Growth and Epitaxial Layer Deposition of FeSe0.88 Superconductor and Other Poison Materials by Use of High Gas Pressure Trap System
Creators: name: Tkachenko, O.
name: Morawski, A.
name: Zaleski, A. J.
name: Przyslupski, P.
name: Dietl, T.
name: Diduszko, R.
name: Presz, A.
name: Werner-Malento, K.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The FeSe samples in the form of polycrystals, single crystals and thin films have been prepared and characterized. The synthesized material has been hot isostatically pressed under pressure of 0.45 GPa of 5N purity argon with the use of the high gas pressure trap system (HGPTS). Thin films have been fabricated by the mixed procedures with the use of DC sputtering from various types of targets and processed employing the HGPTS. The used HGPTS assures a full separation of the active volume for synthesis or crystal growth of material and the inert gas medium. The obtained FeSe0.88 samples have Tc between 8 and 12 K. The samples have been characterized by SEM, EDX, XRD, magnetic susceptibility and resistivity measurements.
description: 5 pages, 4 figures
Ivermectin for Covid-19
Creators: name: Sparavigna, Amelia Carolina
Publisher: name: Zenodo
Year: 2020
Subjects: Covid-19
Ivermectin
Hydroxychloroquine
Doxycycline
azithromycin
Covid-19 rare symptoms

description: Discussion of scholarly papers published on Ivermectin, starting from the article of Caly et al. in Antiviral Research, available online April 3, 2020, and of some news that we can find about the use of this drug for the treatment of Covid-19. A list of clinical trials is also given. The proposed discussion was made in a series of versions from 14 June this of 28 July 2020. For what concerns scholarly papers, we report among them a preprint posted on 10 June in MedRχiv, which concludes that Ivermectin was associated with lower mortality during treatment of Covid-19. We report also the preprint, posted on 8 July in MedRχiv too, showing the result of a clinical trial. This preprint tells, in its conclusions that add-on use of Ivermectin is giving better results when compared to controls, in particular a significant shorter hospitalization. Among news, we consider especially the news regarding the use of Ivermectin in Peru. The case of Iquitos is discussed in detail. In Iquitos, capital of the Department of Loreto, by May 25 Covid-19 cases and deaths had dropped notably, as reported on the web. Epidemic data in this region are considered. Recent news (July 27), displaying the observation of rare symptoms of Covid-19, is also reported in detail. The observation was related to a set of more than 3,000 patients in Lima. The formulation of Ivermectin used in Peru is also discussed, in particular that of the oral solution, disclosed by the Peruvian Government.
description: Before reading this work, please consider that I am not a physician. I do not suggest the use of ivermectin. I am not touting this drug. This analysis of publications and news about ivermectin is made in the framework of a wider investigation about information concerning drugs used for Covid-19.
List Decoding of Matrix-Product Codes from nested codes: an application to Quasi-Cyclic codes
Creators: name: Hernando, Fernando
name: Høholdt, Tom
name: Ruano, Diego
Publisher: name: arXiv
Year: 2012
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 94B05 (Primary) 94B35 (Secondary)

description: A list decoding algorithm for matrix-product codes is provided when $C_1,..., C_s$ are nested linear codes and $A$ is a non-singular by columns matrix. We estimate the probability of getting more than one codeword as output when the constituent codes are Reed-Solomon codes. We extend this list decoding algorithm for matrix-product codes with polynomial units, which are quasi-cyclic codes. Furthermore, it allows us to consider unique decoding for matrix-product codes with polynomial units.
Investigating Protective Factors for Victims of Cyberbullying
Creators: name: Piitz, Jessica A.
Publisher: name: Graduate Studies
Year: 2012
Subjects: subject: Educational Psychology
subject: Cyberbullying
subject: Protective Factors
subject: adolescents

description: This study is the first to investigate personal, psychological, and school-based outcomes associated with cyberbullying victimization. Furthermore, this study investigated social and personal factors (i.e., perceived social support and developmental assets) that moderate the relationship between victimization and negative outcomes (i.e., self-esteem, life satisfaction, school connectedness). The sample consisted of 165 Canadian adolescents aged 12 to 18 years. The prevalence of cyberbullying victimization was 28.5% (n = 47), with males reporting higher rates of victimization than females. Results suggest that victimization was significantly negatively associated with all outcomes under investigation. Although perceived social support did not moderate the relationship between victimization and negative outcomes, developmental assets were found to moderate the relationship between victimization and self-esteem. Findings suggest that online aggression continues to be a prominent issue in today’s society and the assessment of and prevention and intervention initiatives for cyberbullying need to consider factors that protect adolescents.
Optimum Degree of Activity Accelerating and Overlapping in Schedule Compression
Creators: name: Hazini Bahram Abadi, Kamran
Publisher: name: Graduate Studies
Year: 2013
Subjects: subject: Engineering--Industrial
subject: Scheduling
subject: Accelerating
subject: Overlapping
subject: Optimization
subject: Time-Cost Trade-off

description: Today's volatile economy encourages project owners to monitor their project schedules very closely, to ensure timely completion. The first incentive for such monitoring is escalation in commodity price and labour costs that may easily become more than the estimated amount. In addition, assumptions about the price and demand for the end-products are based on information available at the time of the initial estimates, which can be years prior to production. Any changes in these assumptions due to market fluctuations may render a project which was previously feasible financially unjustifiable after several years. On the other hand, when end-product prices are much higher than assumptions made during a feasibility study, organizations may be willing to finish projects earlier than planned to take advantage of higher profit margins even with the higher cost. For such reasons, a reliable mechanism for calculating time-cost trade-offs will considerably assist project managers in deciding on the level of schedule compression in projects, to consider reducing the duration with a reasonable cost increase. There are two main techniques by which schedule compression can be accomplished: activity accelerating, and overlapping. Activity accelerating is shortening project tasks' durations by incurring more cost. Overlapping is to perform the activities in parallel where in normal execution they would be completed in sequence. The amount of overlapping between two activities is expected to shorten duration, though due to the risks of changes and necessary rework, the duration saved would not be exactly the same as the length of the overlap. The purpose of this research is to review and analyze schedule compression techniques in detail, in order to develop an optimization algorithm as a tool for determining the optimum degree of accelerating and overlapping in schedule activities. The "optimum degree" is the point that offers the maximum benefit from schedule compression. For this purpose, data and information have been collected through extensive literature reviews, interviews, and focus groups. The findings are analyzed and formed the basis for developing an algorithm to optimize activity accelerating and overlapping in schedule activities. The algorithm developed, and the accompanying computer tool, have been tested and validated by several experiments showing their efficiency and effectiveness.
One-class SVM para Anomalias
Creators: name: Santos, Dheiver Francisco
Publisher: name: Zenodo
Year: 2021

description: Todos nós sabemos que o SVM tem sido uma abordagem muito popular para problemas de classificação não linear. No entanto, em muitos problemas, onde há apenas uma classe, como na detecção de valores discrepantes não supervisionados, a abordagem precisa ser muitas vezes alterada.
The Muon Accelerator Program
Creators: name: Geer, Steve
name: Zisman, Mike
Publisher: name: arXiv
Year: 2012
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: The Muon Accelerator Program (MAP) is described, along with its first year of accomplishments.
description: 7 pp
Survey
Creators: name: Contreras
name: Lowy, Daniel A.
Publisher: name: figshare
Year: 2020
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Survey used to measure the effect of teaching leadership styles on the prevention of adolescence pregnancy: a case study from Universidad César Vallejo, Peru
Short-read DNA sequence alignment with custom designed FPGA-based hardware
Creators: name: Hall, Adam
Publisher: name: University of British Columbia
Year: 2010

description: The alignment of short DNA read sequencing data to a human reference genome sequence has become a standard step in the analysis pipeline for short DNA read sequence data. As the rate at which short read DNA sequence data is being produced doubles every 5 months, analysis of this data in a computationally efficient way is becoming increasingly important. We demonstrate how we can exploit the ``embarrassingly parallel'' property of short read sequence alignment in custom-designed hardware in FPGA’s. Hardware is chosen, a system is designed, and this system is implemented. My FPGA-based hit finder was demonstrated to produce correct hit results. The performance of this single FPGA implementation was demonstrated to be 71,000 seed hits found per hour on a human genome sized reference sequence. The implementation was demonstrated to produce identical results to the hit finder stage of the MAQ aligner. We demonstrate that the price/performance of this sliding-window FPGA aligner (approximately ~355 seeds/hr/$) compares favorably to the price/performance of sliding-window software aligners (approximately ~67.5 seeds/hr/$ for MAQ). However, software aligners which are based on the superior Burrows-Wheeler alignment algorithm still have a significant price/performance advantage over the FPGA-based approach (approximately ~7,200 seeds/hr/$). We predict that as chips continue to increase in size due to Moore’s Law and computation is performed in high-density cloud-computing datacenters the FPGA-based approach will become preferable to current software aligners.
Supplementary document for Compact reconfigurable on-chip polarization beam splitter enabled by phase change material - 6600045.pdf
Creators: name: Ruan, Jiakai
name: Gao, Yixiao
name: Song, Chunmeng
name: Xu, Peipeng
name: Zhang, Wei
name: Chen, Yimin
name: Shen, Xiang
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Supplement 1: Electro-thermal simulation of the PIN microheater, Fabrication procedure and Device tolerance
Applying Machine Learning to Breast Cancer Gene Expression Data to Predict Survival Likelihood
Creators: name: Tavangar, Pegah
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2020
Subjects: Machine Learning
Breast Cancer
Gene Expression
Feature Selection
Survival rate

description: Analyzing the expression level of thousands of genes will provide additional information beneficial in improving cancer therapy or synthesizing a new drug. In this project, the expression of 48807 genes from primary human breast tumors cells was analyzed. Humans cannot make sense of such a large volume of gene expression data from each person. Therefore, we used Machine Learning as an automated system that can learn from the data and be able to predict results from the data. This project presents the use of Machine Learning to predict the likelihood of survival in breast cancer patients using gene expression profiling. Machine Learning techniques, such as Logistic Regression, Support Vector Machines, Random Forest, and different Feature Selection techniques were used to find essential genes that lead to breast cancer or help a patient to live longer. This project describes the evaluation of different Machine Learning algorithms to classify breast cancer tumors into two groups of high and low survival.
The r-process Code SiRop: Applications to Nuclear Sensitivity Studies and High-energy Astrophysics
Creators: name: Shand, Zachary
Publisher: name: Graduate Studies
Year: 2016
Subjects: subject: Astronomy and Astrophysics
subject: r-process
subject: high-energy astrophysics
subject: nuclear physics

description: The r-process has long remained an unsolved puzzle in nuclear physics and astrophysics. The astrophysical sites of the r-process have eluded discovery despite much experimental and theoretical research. In order to better understand all aspects of the involved physics we have developed SiRop. SiRop is an r-process code which has been improved from a previous version (r-Java 2.0) to include enhanced utilities for running simulations and collecting advanced statistical data. Use of SiRop can assist in identifying key isotopes and help guide nuclear experiments. The code can also used to study high-energy astrophysical phenomena and opens up an avenue explaining high-energy phenomena, like fast radio bursts (FRB), which continue to challenge traditional models. A detailed analysis was performed on the statistical methods employed in current sensitivity studies and an improvement on existing techniques was developed.