cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Regulatory Cooperation in the Transatlantic Trade and Investment Partnership ttip - Thrill or Threat for the Environment?
Creators: name: Callies, Christian
name: Dross, Miriam
Publisher: name: My University
Year: 2016
Subjects: Handelsfreiheit

description: By means of regulatory cooperation, TTIP is to increase the depth of cooperation between the EU and the USA on regulatory issues. This article sketches out the envisioned regulatory cooperation as far as this is possible based on the EU negotiating texts and assesses it from an environmental perspective. In this perspective particular attention need to be paid to differences in the stringency of regulation of sectors of environmental relevance (e.g. food, chemicals and cosmetics) in the US and the EU. As a result, adverse environmental impacts can only be avoided if harmonization takes place at a high level. Sub-statutory regulations and private sector standardization such as ISO standards may also be of considerable environmental relevance. The example of manipulated vehicle emissions of nitrogen oxides shows how important even the apparently technical issue of effective verification of exhaust emissions can be for environmental protection. The criteria used to assess risks and deal with uncertainties are highly relevant. The precautionary principle embodied in German and European law can be found neither in US nor in international trade law. In should remain a part of TTIP (and more prominently so) and not be sacrificed in last minute negotiations. Quelle: http://booksandjournals.brillonline.com
Trust management of services in cloud environments: obstacles and solutions
Creators: name: Noor, Talal H.
name: Sheng, Quan Z.
name: Zeadally, Sherali
name: Yu, Jian
Publisher: name: Swinburne
Year: 2024

description: Trust management is one of the most challenging issues in the emerging cloud computing area. Over the past few years, many studies have proposed different techniques to address trust management issues. However, despite these past efforts, several trust management issues such as identification, privacy, personalization, integration, security, and scalability have been mostly neglected and need to be addressed before cloud computing can be fully embraced. In this article, we present an overview of the cloud service models and we survey the main techniques and research prototypes that efficiently support trust management of services in cloud environments. We present a generic analytical framework that assesses existing trust management research prototypes in cloud computing and relevant areas using a set of assessment criteria. Open research issues for trust management in cloud environments are also discussed.
Pathogenesis of 'Cronobacter' Species: Enterotoxin Production, Adhesion and Invasion of the Blood Brain Barrier
Creators: name: Abdesselam, Kahina
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2012
Subjects: Cronobacter spp.
Enterotoxin production
Adhesion and Invasion of the blood brain barrier
Biofilms
Diguanylate cyclase
Threonine Synthase

description: Cronobacter species cause serious infections such as meningitis and enteritis in newborns and neonates, with the major vehicle being contaminated powdered infant formula. The main objectives of this study were i) to identify potential virulence factors, such as enterotoxin production; ii) characterize the gene(s) involved in adhesion and invasion of the human brain microvascular endothelial cells (HBMEC); and iii) determine whether strains from clinical, food, and environmental sources differ in their ability to produce surface-attached bacterial aggregates, known as biofilms. Random transposon mutagenesis was used on strains demonstrating the best adherence and invasion to blood- brain barrier cell lines (BBB). Isogenic mutants were then screened for increased or decreased adherence and invasion. Screening of the transposon library identified one isogenic mutant of a clinical strain which lost the ability to adhere to BBB cells. The transposon rescue revealed the insertion site to be within a diguanylate cyclase (DGC) gene. The major function of DGC in many Gram-negative bacteria is to synthesize cyclic diguanylate (c-di-GMP), a secondary bacterial metabolite known for regulating biofilm formation, motility, and virulence or aspects of microbial pathogenicity. Based on the findings of this study, DGC appears to play an important role in Cronobacter species’ ability to produce biofilms and may also have a role of the pathogenicity in the microorganism.
Supplementary document for Student becomes teacher: Training faster deep learning lightweight networks for automated identification of optical coherence tomography B-scans of interest using student-teacher framework - 5340365.pdf
Creators: name: Owen, Julia
name: Blazes, Marian
name: Manivannan, Niranchana
name: Lee, Gary
name: Yu, Sophia
name: Durbin, Mary
name: Nair, Aditya
name: Singh, Rishi
name: Talcott, Katherine
name: Mello, Alline
Publisher: name: Optica Publishing Group
Year: 2021
Subjects: Uncategorized

description: Supplement
Visualizing Usage Data from a Diabetes Management System
Creators: name: Duce, David A.
name: Martin, Clare
name: Russell, Alex
name: Brown, Dan
name: Aldea, Arantza
name: Alshaigy, Bedour
name: Harrison, Rachel
name: Waite, Marion
name: Leal, Yenny
name: Wos, Marzena
name: Fernandez-Balsells, Mercè
name: Real, José Manuel Fernández
name: Nita, Lucian
name: López, Beatriz
name: Massana, Joaquim
name: Avari, Parizad
name: Herrero, Pau
name: Jugnee, Narvada
name: Oliver, Nick
name: Reddy, Monika
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Human centered computing
Information visualization
Applied computing
Health informatics

description: This article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU-funded PEPPER project, which has created a personalised decision-support system for people with type 1 diabetes. Our approach was an exercise in exploratory visualization, as described by Bergeron's three category taxonomy. The charts revealed different patterns of interaction, including variability in insulin dosing schedule, and potential causes of rejected advice. These insights into user behaviour are of especial value to this field, as they may help clinicians and developers understand some of the obstacles that hinder the uptake of diabetes technology.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualisation and Machine Learning
description: 1
description: 9
description: David A. Duce, Clare Martin, Alex Russell, Dan Brown, Arantza Aldea, Bedour Alshaigy, Rachel Harrison, Marion Waite, Yenny Leal, Marzena Wos, Mercè Fernandez-Balsells, José Manuel Fernández Real, Lucian Nita, Beatriz López, Joaquim Massana, Parizad Avari, Pau Herrero, Narvada Jugnee, Nick Oliver, and Monika Reddy
description: CCS Concepts: Human-centered computing --> Information visualization; Applied computing --> Health informatics
Clitic Combinations in Spanish: Syntax, Processing and Acquisition
Creators: name: Alba De La Fuente, Anahi
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2012
Subjects: linguistics
Spanish
clitics
clitic clusters
syntax
diachrony
second language acquisition
language processing

description: The study of clitic clusters and the restrictions that surface when two or more clitics are combined have long intrigued linguists and, as such, clitic phenomena are at the core of an ever-growing body of research in linguistic theory. However, three aspects remain largely unexplored when it comes to clitic cluster constraints, namely the evolution of these restrictions through time, the perception and processing of different clitic combinations, both acceptable and unacceptable, by native speakers and the acquisition of such combinations by non-native speakers. This dissertation, which focuses on 1st and 2nd person clitic clusters in Spanish, aims to shed new light on clitic phenomena with a new analysis and new data from all these perspectives. Specifically, I study the effects that case and marked features have on Spanish clitic combinations, both synchronically and diachronically. In addition, I explore the effects of clitic combination restrictions in language processing and analyze the learnability issues derived from such restrictions in three groups of speakers of Spanish as a second language whose L1s are English, French and Romanian, respectively. At a particular level, this dissertation is a study of clitic cluster constraints from different perspectives, both traditional and new, namely linguistic theory, diachrony, language processing and language acquisition. At a general level, it constitutes an attempt to explore the ways in which linguistic theory can guide applied research and, conversely, the ways in which experimental data may contribute to linguistic theory.
Students' Experiences During Democratic Activities at a Canadian Free School: A Case Study
Creators: name: Prud'homme, Marc-Alexandre
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2011
Subjects: Free Schools
Democracy
Complexity Thinking
Critical Thinking
Empowerment
Conflict Resolution
Ethnography
Citizenship Education

description: While the challenge of improving young North Americans’ civic engagement seems to lie in the hands of schools, studying alternative ways of teaching citizenship education could benefit the current educational system. In this context, free schools (i.e., schools run democratically by students and teachers), guided by a philosophy that aims at engaging students civically through the democratic activities that they support, offer a relatively unexplored ground for research. The present inquiry is a case study using tools of ethnography and drawing upon some principles of complexity thinking. It aims at understanding students’ citizenship education experiences during democratic activities in a Canadian free school. It describes many experiences that can arise from these activities. They occurred within a school that operated democratically based on a consensus-model. More precisely, they took place during two kinds of democratic activities: class meetings, which regulated the social life of the school, and judicial committees, whose function was to solve conflicts at the school. During these activities, students mostly experienced a combination of feelings of appreciation, concernment and empowerment. While experiencing these feelings, they predominantly engaged in decision-making and conflict resolution processes. During these processes, students modified their conflict resolutions skills, various conceptions, and their participation in democratic activities and in the school. Based on these findings, the study concludes that students can develop certain skills and attitude associated to citizenship education during these activities and become active from a citizenship perspective. Hence, these democratic activities represent alternative strategies that can assist educators in teaching about citizenship.
Recognising Specific Foods in MRI Scans Using CNN and Visualisation
Creators: name: Gardner, Joshua
name: Al-Maliki, Shatha
name: Lutton, Évelyne
name: Boué, François
name: Vidal, Franck P.
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Applied computing
Life and medical sciences
Computing methodologies
Machine learning

description: This work is part of an experimental project aiming at understanding the kinetics of human gastric emptying. For this purpose magnetic resonance imaging (MRI) images of the stomach of healthy volunteers have been acquired using a state-of-art scanner with an adapted protocol. The challenge is to follow the stomach content (food) in the data. Frozen garden peas and petits pois have been chosen as experimental proof-of-concept as their shapes are well defined and are not altered in the early stages of digestion. The food recognition is performed as a binary classification implemented using a deep convolutional neural network (CNN). Input hyperparameters, here image size and number of epochs, were exhaustively evaluated to identify the combination of parameters that produces the best classification. The results have been analysed using interactive visualisation. We prove in this paper that advances in computer vision and machine learning can be deployed to automatically label the content of the stomach even when the amount of training data is low and the data imbalanced. Interactive visualisation helps identify the most effective combinations of hyperparameters to maximise accuracy, precision, recall and F1 score, leaving the end-user evaluate the possible trade-off between these metrics. Food recognition in MRI scans through neural network produced an accuracy of 0.97, precision of 0.91, recall of 0.86 and F1 score of 0.89, all close to 1.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualisation and Machine Learning
description: 11
description: 18
description: Joshua Gardner, Shatha Al-Maliki, Évelyne Lutton, François Boué, and Franck P. Vidal
description: CCS Concepts: Applied computing --> Life and medical sciences; Computing methodologies --> Machine learning
Emotion Transfer for 3D Hand Motion using StarGAN
Creators: name: Chan, Jacky C. P.
name: Irimia, Ana-Sabina
name: Ho, Edmond S. L.
Publisher: name: The Eurographics Association
Year: 2020

description: In this paper, we propose a new data-driven framework for 3D hand motion emotion transfer. Specifically, we first capture highquality hand motion using VR gloves. The hand motion data is then annotated with the emotion type and converted to images to facilitate the motion synthesis process and the new dataset will be available to the public. To the best of our knowledge, this is the first public dataset with annotated hand motions. We further formulate the emotion transfer for 3D hand motion as an Image-to-Image translation problem, and it is done by adapting the StarGAN framework. Our new framework is able to synthesize new motions, given target emotion type and an unseen input motion. Experimental results show that our framework can produce high quality and consistent hand motions.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualisation and Machine Learning
description: 19
description: 26
description: Jacky C. P. Chan, Ana-Sabina Irimia, and Edmond S. L. Ho
Supplementary document for Defect-engineered ring laser harmonic frequency combs - 5340389.pdf
Creators: name: Kazakov, Dmitry
name: Opacak, Nikola
name: Beiser, Maximilian
name: Belyanin, Alexey
name: Schwarz, Benedikt
name: Piccardo, Marco
name: Capasso, Federico
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary Information
Encyclopaedia-based Framework for 3D Image Processing Applications
Creators: name: Morley, Terence
name: Morris, Tim
name: Turner, Martin
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Image manipulation
Shape modeling
Software and its engineering
Software creation and management
Human centered computing
Human computer interaction (HCI)

description: The uses of unmanned aerial vehicles (UAV) are rapidly increasing across diverse applications including surveillance, policing and search and rescue. To perform domain-specific functions, software systems incorporating 2D and 3D image processing libraries are being developed to work on the recorded and streamed video. But how agile are these systems? Can their operation be modified by users? How easy is it to add or replace UAVs or their preferred imaging module or improved compute resources? In this work-in-progress paper, we present an encyclopaedia-based framework (EbF) that can answer positively to these questions. Our novel EbF specifies the use of drop-in modules to enable speedy implementation and modification of systems by the operator and, as it incorporates knowledge of the input image-capture devices and presentation preferences, the system includes automated parameter selection. Central to the framework is an encyclopaedia which is used to store all information pertaining to the current system operation and can be used by imaging modules to ensure that they can adapt to changes within the system or its environment. Results are shown over three use-case implementations that are easy to control and set-up by novice operators utilising simple computational wrapper scripts.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualisation and Machine Learning
description: 27
description: 31
description: Terence Morley, Tim Morris, and Martin Turner
description: CCS Concepts: Computing methodologies --> Image manipulation; Shape modeling; Software and its engineering --> Software creation and management; Human-centered computing --> Human computer interaction (HCI)
Survey of Eighteen North-American Piano Method Books: Repertoire Selection and Categories
Creators: name: Lu, Yuanyuan
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2012
Subjects: piano repertoire
piano method books
categories of repertoire
selection of repertoire
statistical occurrence of repertoire

description: Many piano teachers agree that suitable repertoire motivates their students to learn and practice their instrument. Asking students to learn different categories of repertoire might be a good approach for piano teachers to motivate and maintain their students’ musical interests. However, how do teachers evaluate what kinds of repertoire is presented in the teaching material that is available to them? The purpose of this study is to review the pieces found in North-American piano method books in order to provide an inventory of the different categories of repertoire found in each series and to calculate the proportion of piano repertoire belonging in each category. Consequently, this research will allow piano teachers to see more clearly which kinds of repertoire are in a method book and help select the most appropriate method books for their students.
iscream: Reading WGBS data into analysis-ready structures
Creators: name: Eapen, James
Publisher: name: Zenodo
Year: 2024

description: WGBS sequencing of the 28 million CpG loci in the human genome produces large quantities of data. Reading and storing this data is memory-intensive and can be slow. Further, while bulk WGBS data covers the majority of CpGs, single-cell WGBS data typically does not and requires a sparse matrix representation.

iscream is designed to handle both bulk and single-cell WGBS methylation data from the BISCUIT and Bismark aligners. Its goal is to provide users a fast and memory efficient way to load WGBS data for analysis, whether full genomes or regions of interest. It aims to reduce the memory footprint and runtime of data loading by reading and manipulating the data in-place without deep copying. This is achieved using Rcpp for speed and fine-grained memory usage control. Rcpp also provides access to htslib for fast genomic region queries.

iscream outputs data as sparse or dense matrices that can be used to create BSseq objects for analysis. Users can aggregate single-cell methylation information across regions of interest for analysis with scMET. Future work will include support to use the arrow library so that large datasets can be lazily queried without having to load them into memory first.

The package is still under development, but may be found at https://github.com/huishenlab/iscream
Simulating Dynamic Ecosystems with Co-Evolutionary Agents
Creators: name: Ferguson, Gary
name: Vidal, Franck P.
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Image processing
Artificial life
Agent / discrete models
Real
time simulation
Applied computing
Computer games
Mathematics of computing
Evolutionary algorithms

description: As video games grow in complexity and require increasingly large and immersive environments, there is a need for more believable and dynamic characters not controlled by the player, known as non-player character (NPC). Video game developers will often face the challenge of designing these NPCs in a time efficient manner. We propose an agent-based Cooperative Co-evolution Algorithm (CCEA) where NPCs are implemented as artificial life (AL) agents that are created through an evolutionary process based on simple rules. The virtual environment can be filled with a range of interesting agents, each acting independently from one another, to fulfil their own wants and needs. The proposed middleware framework is suitable for computer animation of NPCs and the development of video games, especially where swarm intelligence is simulated. We proved that agents implemented with a very limited number of variables making up their genome can be successfully integrated in a co-evolutionary multi-agent system (CoEMAS). Results showed promising levels of speciation and interesting emergent and plausible behaviours amongst the agents.
description: Computer Graphics and Visual Computing (CGVC)
description: Visualisation and Machine Learning
description: 33
description: 37
description: Gary Ferguson and Franck P. Vidal
description: CCS Concepts: Computing methodologies --> Image processing; Artificial life; Agent / discrete models; Real-time simulation; Applied computing --> Computer games; Mathematics of computing --> Evolutionary algorithms
Neem products for the control of the European corn borer, Ostrinia nubilalis (Hubner), in sweet corn, Zea mays (L.).
Creators: name: Gagnon, Diane C.
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 1992
Subjects: subject: Biology, Plant Physiology.

description: The use of neem products to control the European corn borer, Ostrinia nubilalis (Hubner), in sweet corn was investigated. Three years of field studies were conducted comparing various foliar-spray applications of a neem seed kernel extract (NSKE), azadirachtin (AZA, the active ingredient of neem extracts), and Ambush (a synthetic pyrethroid). The results included: (1) NSKE sprayed prior to artificial infestation of the corn plants provided excellent protection (comparable to Ambush) against borer damage and greatly reduced larval populations. (2) Neem extract formulations from Safer Ltd. were the most effective. (3) The rate of application or number of applications were not determining factors in altering the efficacy of neem products. (4) Exceptional weather conditions (high temperatures, dry conditions) may be detrimental to the efficacy of foliar applied neem products. (5) Some neem treatments were found to increase corn stalk breakage possibly by altering the behavior of the larvae. Laboratory evaluations using no-choice leaf-disk bioassays showed the antifeedant action of AZA and the negligible effect of PBO (piperonyl butoxide) and Citowett (used in field formulations) on the feeding behavior of 3rd instar larvae. Growth and development studies of O. nubilalis fed a diet containing 0, 1, 3, 10, 30, 100, and 1000 $\mu$g NSKE g$\sp{-1}$ diet were conducted. 10 $\mu$g NSKE g$\sp{-1}$ diet (50 ng AZA g$\sp{-1}$ diet) fed continuously to the larvae were larvicidal and concentrations as low as 3 $\mu$g NSKE g$\sp{-1}$ diet (16.6 ng AZA g$\sp{-1}$ diet) significantly reduced larval, pupal and adult weights, increased the larval and pupal periods, decreased adult emergence and caused wing deformities. AZA content of the extracts was found to be a critical factor in the IGR (insect growth regulator) effects of NSKE. (Abstract shortened by UMI.)
Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study
Creators: name: Goossen, Käthe
name: Hess, Simone
name: Lunny, Carole
name: Pieper, Dawid
Publisher: name: BioMed Central
Year: 2020

description: Background: When conducting an Overviews of Reviews on health-related topics, it is unclear which combination of bibliographic databases authors should use for searching for SRs. Our goal was to determine which databases included the most systematic reviews and identify an optimal database combination for searching systematic reviews. Methods: A set of 86 Overviews of Reviews with 1219 included systematic reviews was extracted from a previous study. Inclusion of the systematic reviews was assessed in MEDLINE, CINAHL, Embase, Epistemonikos, PsycINFO, and TRIP. The mean inclusion rate (% of included systematic reviews) and corresponding 95% confidence interval were calculated for each database individually, as well as for combinations of MEDLINE with each other database and reference checking. Results: Inclusion of systematic reviews was higher in MEDLINE than in any other single database (mean inclusion rate 89.7%; 95% confidence interval [89.0–90.3%]). Combined with reference checking, this value increased to 93.7% [93.2–94.2%]. The best combination of two databases plus reference checking consisted of MEDLINE and Epistemonikos (99.2% [99.0–99.3%]). Stratification by Health Technology Assessment reports (97.7% [96.5–98.9%]) vs. Cochrane Overviews (100.0%) vs. non-Cochrane Overviews (99.3% [99.1–99.4%]) showed that inclusion was only slightly lower for Health Technology Assessment reports. However, MEDLINE, Epistemonikos, and reference checking remained the best combination. Among the 10/1219 systematic reviews not identified by this combination, five were published as websites rather than journals, two were included in CINAHL and Embase, and one was included in the database ERIC. Conclusions: MEDLINE and Epistemonikos, complemented by reference checking of included studies, is the best database combination to identify systematic reviews on health-related topics.
Supplementary document for Defect-engineered ring laser harmonic frequency combs - 5340389.pdf
Creators: name: Kazakov, Dmitry
name: Opacak, Nikola
name: Beiser, Maximilian
name: Belyanin, Alexey
name: Schwarz, Benedikt
name: Piccardo, Marco
name: Capasso, Federico
Publisher: name: Optica Publishing Group
Year: 2021
Subjects: Uncategorized

description: Supplementary Information
Confidence intervals in general regression models that utilize uncertain prior information
Creators: name: Kabaila, Paul
name: Ranathunga, Nishika
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences

description: We consider a general regression model, either without a scale parameter or with a known scale parameter. We construct a confidence interval for a scalar parameter of interest that utilizes the uncertain prior information that a distinct scalar parameter takes a specified value. This confidence interval has excellent coverage properties. It also has local scaled expected length, where the scaling is with respect to the usual confidence interval, that (a) is substantially less than 1 when the prior information is correct, (b) has a maximum value that is not too large, and (c) is close to 1 when the data and prior information are highly discordant. An important practical application of this confidence interval is to a quantal bioassay carried out to compare two similar compounds. In this context, the uncertain prior information is that the hypothesis of “parallelism” holds. We provide extensive numerical results that illustrate the attractive properties of this confidence interval in this context.
Continuous-Line-Based Halftoning with Pinwheel Tiles
Creators: name: Ahmed, Abdalla G. M.
Publisher: name: The Eurographics Association
Year: 2020

description: We describe a technique for continuous-line-based halftoning with space-filling curves, namely Segerman's pinwheel curve, which is based on Conway's pinwheel tiles. We adapt the length of the curve passing through the tiles in accordance with a supplied density map, e.g. a grayscale image. We use the subdivision depth of the tiling for a coarse control of the curve length, and we describe a finer control to faithfully match the density map. Our technique exhibits excellent temporal coherence, making it suitable for animated images.
description: Computer Graphics and Visual Computing (CGVC)
description: Graphics
description: 39
description: 44
description: Abdalla G. M. Ahmed
Smoothed empirical likelihood for optimal cut point analysis
Creators: name: Liu, Rong
name: Wang, Chunjie
name: Yao, Yujing
name: Jin, Zhezhen
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Sociology
subject: FOS: Sociology
subject: Mathematical Sciences not elsewhere classified

description: In diagnostic studies, a continuous biomarker is often dichotomized for the diagnosis of binary disease status. Various criteria have been studied for the cut point selection of the continuous biomarker in receiver operating characteristic (ROC) analysis, in particular, the Youden index, the closest-to-(0,1) index, and the concordance probability index. Recently, Wang, Tian, and Zhao (2017) established a Wilks theorem for a smoothed empirical likelihood ratio statistic of Youden index. However, it is not directly useful for statistical inference compared to the cut point. In addition, the optimal cut point may vary with different criteria. In this article, we study smoothed empirical likelihood for optimal cut point selection with Youden index, closest-to-(0,1) criterion, and concordance probability. We develop confidence estimation for the optimal cut points based on the smoothed empirical likelihood ratio statistics. We examine the empirical performance by extensive simulation studies. We also illustrate the method with a real dataset.
The Analog Designer's Toolbox (ADT): Towards A New Paradigm for Analog IC Design
Creators: name: Omran, Hesham
Publisher: name: Zenodo
Year: 2022
Subjects: integrated circuit
Analog Design
SPICE
design trade-offs
low power

description: The integrated circuit (IC) technology has witnessed an exponential advancement in the last decades and has changed every aspect in our life. On the other hand, the analog IC design flow did not experience any major change since the introduction of Berkeley SPICE in the 1970s, posing significant challenges to the design of complex systems in nanometer technologies and to the transfer of analog design expertise and knowledge. The Analog DesignerTM Toolbox (ADT) is a new analog design productivity and automation tool that addresses this problem and defines a new paradigm in analog IC design. ADT provides a turnkey solution that enables everyone to reap the benefits of the gm/ID design methodology powered by precomputed lookup tables (LUTs). At the device level, ADT gives an easy interface to automatically size devices given their performance metrics and plot arbitrary design charts involving complex expressions. At the block level, ADT gives the designer the power of interactive design space exploration, agile constraints management, design trade-offs visualization, live tuning, and blazing speed optimization. The aim of ADT is to boost productivity, restore designer's intuition, and make the design process systematic, optimized, and fun!
Confidence intervals in general regression models that utilize uncertain prior information
Creators: name: Kabaila, Paul
name: Ranathunga, Nishika
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences

description: We consider a general regression model, either without a scale parameter or with a known scale parameter. We construct a confidence interval for a scalar parameter of interest that utilizes the uncertain prior information that a distinct scalar parameter takes a specified value. This confidence interval has excellent coverage properties. It also has local scaled expected length, where the scaling is with respect to the usual confidence interval, that (a) is substantially less than 1 when the prior information is correct, (b) has a maximum value that is not too large, and (c) is close to 1 when the data and prior information are highly discordant. An important practical application of this confidence interval is to a quantal bioassay carried out to compare two similar compounds. In this context, the uncertain prior information is that the hypothesis of “parallelism” holds. We provide extensive numerical results that illustrate the attractive properties of this confidence interval in this context.
The Incentive to Kill: An Examination of the Motivations for German Perpetrators During World War II
Creators: name: Manikowski, Agathe
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2011
Subjects: ordinary individuals
mass killings
Germany
World War II
SS Einsatzgruppen
Death Camps
ideology
dehumanization
brutalization

description: Why do ordinary individuals participate in mass violence perpetrated against civilians? That is the question I will attempt to answer in the following paper. I consider these men ordinary to the extent that the majority was not socially deviant. Looking at the case of Nazi Germany, two groups stand out as good case studies: the SS Einsatzgruppen and the SS cadres in the Death camps. The following analysis will focus on the motivations of these men to commit mass murder. I argue for a causal sequence of action, beginning with the onset of Nazi ideology, further followed by the dehumanization of the victim and the brutalization of the perpetrator. I will demonstrate how the ideology present during German interwar society influenced these men into participation. Dehumanization and brutalization are complimentary factors that push these men into action.
Supplementary document for A Compact 2D Serpentine Optical Phased Array - 5340999.pdf
Creators: name: Ren, Yangming
name: Zhang, Lingxuan
name: Zhao, Wei
name: Wang, Guoxi
name: Feng, Ningning
name: Wu, Wei
name: sun, xiaochen
name: Zhang, Wenfu
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplement Information
ORQA: Objective Reflection Quality Assessment
Creators: name: Houwink, Sietze G.
name: Kliffen, Klaas Y.
name: Kosinka, Jiri
Publisher: name: The Eurographics Association
Year: 2020
Subjects: I.4.7 [Image Processing and Computer Vision]
Feature Measurement
Size and Shape
Texture

description: We present ORQA (Objective Reflection Quality Assessment), a method to objectively assess shape quality from reflection line renderings. The goal of ORQA is to correctly order existing comparable reflection line renderings according to perceived shape quality. Surface quality information is extracted from directional changes of the reflection lines. Relative importance on the directional changes and reflection line length are key aspects of scoring. ORQA is fast, stable and generalises well over various datasets.
description: Computer Graphics and Visual Computing (CGVC)
description: Graphics
description: 45
description: 52
description: Sietze G. Houwink, Klaas Y. Kliffen, and Jiri Kosinka
description: Categories and Subject Descriptors (according to ACM CCS): I.4.7 [Image Processing and Computer Vision]: Feature Measurement-Size and Shape; Texture
Born for This: Building a Brand Identity
Creators: name: Philip, Jacinta
Publisher: name: Zenodo
Year: 2024
Subjects: brand identity
Joan of Arc
personhood
identity
merchandise
creative

description: In our current society, where identity and personhood are under attack, Joan of Arc proves to be an excellent role model by living a life of individuality. Jeanne d’Arc, commonly known as Joan of Arc, was a young peasant who lived in France during the 100 Years’ War. She became a military leader at seventeen and lifted the siege of Orleans, a pivotal victory during the war. “I am not afraid; I was born for this” is a quote attributed to Joan because of her unwavering bravery and belief in her calling. She was firm in her womanhood and courageous in her military endeavors, gaining the respect of everyone around her and still everyone today. Born for This is a brand created to promote self-confidence in their unique personhood like Joan of Arc. Born for This believes that every person has the capability for greatness within them; it just needs to be lived out. The brand promotes confidence and internal fortitude with merchandise focusing on Joan of Arc’s strength in her personhood. The merchandise will include shirt, tote, sticker, and poster designs that have unique illustrations of Joan’s character that remind the consumer of the greatness within themselves.
Articulation des principes d’évaluation formative dans des guides pédagogiques de l’Ontario au cycle intermédiaire
Creators: name: Fola, Romeo
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2016
Subjects: évaluation formative
analyse de contenu
guide pédagogique
principes d'évaluation formative
évaluation
Ontario

description: Selon plusieurs recherches, le guide pédagogique aide les enseignants à mettre en œuvre au quotidien les prescriptions curriculaires et par ricochet, effectuer des évaluations formatives de haute qualité. Ce niveau de qualité passe par le respect des principes qui sous-tendent l’évaluation formative. Le but de cette recherche était de scruter, à travers une analyse de contenu qualitative, trois guides pédagogiques de sciences et technologie pour voir comment les principes d’évaluation formative seraient pris en compte dans les activités d’évaluation proposées aux enseignants à des fins formatives. Nous avons conçu et validé deux instruments de collecte de données à l'aide d'un système de codage basé sur les dimensions qui ont émergé des principes d’évaluation formative. Les résultats révèlent que les activités proposées ne se conforment pas toujours au processus d’évaluation formative et aux conditions entourant leur mise en œuvre. Plusieurs implications théoriques et pratiques émanant de cette étude vont permettre d’étayer davantage le sujet et également inspirer les enseignants dans leurs démarches d’évaluation formative.
Short-term effects of Lumacaftor/Ivacaftor (Orkambi™) on exertional symptoms, exercise performance, and ventilatory responses in adults with cystic fibrosis
Creators: name: Quon, Bradley S.
name: Ramsook, Andrew H.
name: Dhillon, Satvir S.
name: Mitchell, Reid A.
name: Boyle, Kyle G.
name: Wilcox, Pearce G.
name: Guenette, Jordan A.
Publisher: name: BioMed Central
Year: 2020

description: Rationale: Lumacaftor/ivacaftor (LUM/IVA) modestly improves lung function following 1 month of treatment but it is unknown if this translates into improvements in exercise endurance and exertional symptoms. Methods: Adult CF participants completed a symptom-limited constant load cycling test with simultaneous assessments of dyspnea and leg discomfort ratings pre- and 1 month post-initiation of LUM/IVA. Results: Endurance time, exertional dyspnea and leg discomfort ratings at submaximal exercise did not change significantly. There was a significant inverse correlation between changes in leg discomfort and endurance time (r = − 0.88; p = 0.009) following 1-month of LUM/IVA. Conclusions: Overall, 1-month of LUM/IVA did not increase endurance time or modify exertional dyspnea or leg discomfort ratings. However, individuals who experienced a reduction in leg discomfort following LUM/IVA had an improvement in endurance time. Future studies with a larger sample size are needed to verify these findings and to assess the long-term effects of LUM/IVA on exercise outcomes. Trial registration: ClinicalTrials.gov Identifier: NCT02821130. Registered July 1, 2016.
CLAWS: Computational Load Balancing for Accelerated Neighbor Processing on GPUs using Warp Scheduling
Creators: name: Gross, Julian
name: Köster, Marcel
name: Krüger, Antonio
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Shared memory algorithms
Massively parallel algorithms
Graphics processors

description: Nearest neighbor search algorithms on GPUs have been improving for years. Starting with tree-based approaches in the middle 70's, state-of-the-art methods use hash-based or grid-based methods. Leveraging high-performance hardware functionality decreases runtime of these search algorithms. Furthermore, memory consumption has been decreased significantly as well using Shared Memory. In the scope of these enhancements, particles have been reordered by different constraints that simplify neighbor processing. However, inspecting the existing algorithms reveals underused capabilities caused by algorithm desing. Exploiting these capabilities in a smart way can increase occupancy and efficiency on GPUs. In this paper, we present a neighbor processing approach that is based on dynamic load balancing. We rely on a lightweight workload-analysis phase that is applied during neighbor processing to distribute work throughout all warps in a thread group on-the-fly. In different domains, the neighbor function is often symmetric and, thus, commutative in each argument. In contrast to prior work, we use this domain knowledge to reduce the number of memory accesses considerably. Measurements of the newly introduced features on our evaluation scenarios show a comparable runtime performance to state-of-the-art methods. Increasing the overall workload by processing million-particle domains leads to significant improvements in terms of runtime. At the same time, we minimize global memory consumption to enable more particles to be processed compared to current approaches.
description: Computer Graphics and Visual Computing (CGVC)
description: Graphics
description: 53
description: 61
description: Julian Gross, Marcel Köster, and Antonio Krüger
description: CCS Concepts: Computing methodologies --> Shared memory algorithms; Massively parallel algorithms; Graphics processors
Generalized K-means for Metric Space Clustering Using PageRank
Creators: name: Hajij, Mustafa
name: Said, Eyad
name: Todd, Robert
Publisher: name: The Eurographics Association
Year: 2020

description: We utilize the PageRank vector to generalize the k-means clustering algorithm to directed and undirected graphs. We demonstrate that PageRank and other centrality measures can be used in our setting to robustly compute centrality of nodes in a given graph. Furthermore, we show how our method can be generalized to metric spaces and apply it to other domains such as point clouds and triangulated meshes.
description: Computer Graphics and Visual Computing (CGVC)
description: Graphics
description: 63
description: 66
description: Mustafa Hajij, Eyad Said, and Robert Todd
title: Readerly Engagements: Poetic Processes in T.S. Eliot, Gertrude Stein, and John Ashbery
Creators: name: Santos, Miguel T.
Publisher: name: University of Kent
Year: 2024

description: Scholarly research on 20th century experimental poetry has highlighted the characteristic fusion of aesthetic difficulty and indeterminacy embedded in these texts, attending to the disruptive experiences of reading this literature. This research contributes to developing a critical vocabulary of readerly engagements as embodied affordances in three experimental poems: T.S. Eliot's 'The Waste Land' (1922), Gertrude Stein's 'Tender Buttons' (1914), and John Ashbery's 'Three Poems' (1972). Thus, I aim to re-cover the freeing potential of poetic reception, reified through three interrelated, but distinct, critical apparatuses for the readers: ingestion, digestion, and exhaustion. Far from acts of dissection, these experimental poems allow for re-generative possibilities, revealing the importance of the reader's role as they find themselves generated in the interstices of the texts. In dialogue with discussions around critical methods, this research employs experiential close reading, an approach that at once considers the poem's disjunctures alongside its potential proximity between reader and text.

Charting specific meaning orientations in the poems, I trace three specific sites of disorientation, cultivated between readers and the texts, in the poems' anti-logocentrism, disclosure, and openness. By shifting critical focus to the primacy of the reader, these poems delineate the possibility for soliciting a readerly re-generation. Compelled by the desire to articulate a critical vocabulary of these readerly engagements, I reify the affordances of reading experimental poetry through interrelated, but distinct, processes of digestion, ingestion, and exhaustion.

This research makes a case for the importance of the reader's role in poetry, interrogating their engagements in reading experimental literature. In developing a vocabulary of reading poetry, I aim to re-cover the act of reading as a creative act, generating new readerly practices, as readers find themselves engaging in the interstices of the texts. In so doing, I highlight experimental poetry's freeing potential for reading, which is far from a methodical dissection, but an active digestion.
Persistent Homology and the Discrete Laplace Operator For Mesh Similarity
Creators: name: Hajij, Mustafa
name: Zhang, Yunhao
name: Liu, Haowen
name: Rosen, Paul
Publisher: name: The Eurographics Association
Year: 2020

description: We use persistent homology along with the eigenfunctions of the Laplacian to study similarity amongst geometric and combinatorial objects. Our method relies on studying the lower-star filtration induced by the eigenfunctions of the Laplacian. This gives us a shape descriptor that inherits the rich information encoded in the eigenfunctions of the Laplacian. Moreover, the similarity between these descriptors can be easily computed using tools that are readily available in Topological Data Analysis. We provide experiments to illustrate the effectiveness of the proposed method.
description: Computer Graphics and Visual Computing (CGVC)
description: Graphics
description: 67
description: 70
description: Mustafa Hajij, Yunhao Zhang, Haowen Liu, and Paul Rosen
Cognitive and cardiovascular aging: the effects of multivitamin supplementation
Creators: name: Harris, Elizabeth
Publisher: name: Swinburne
Year: 2024

description: Cognitive decline is an issue of increasing concern in our aging population, and cognitive outcomes are especially dependent on cardiovascular health. The first study presented in this thesis observed an association between cognitive performance and augmentation index, a measure of arterial stiffness, in both younger and older adults. Two clinical trials then investigated the effects of 16-weeks supplementation with combination multivitamin, mineral and herbal formulations on older women and men. The studies observed no effect of supplementation on cognition or augmentation index. However, assessment of blood biomarkers revealed some beneficial changes due to supplementation.
Breathing Life into Statues Using Augmented Reality
Creators: name: Ioannou, Eleftherios
name: Maddock, Steve
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Mixed / augmented reality
Animation
Image processing
Applied computing
Fine arts

description: AR art is a relatively recent phenomenon, one that brings innovation in the way that artworks can be produced and presented in real-world locations and environments. We present an AR art app, running in real time on a smartphone, that can be used to bring to life inanimate objects such as statues. The work relies on a virtual copy of the real object, which is produced using photogrammetry, as well as a skeleton rig for subsequent animation. As part of the work, we present a new diminishing reality technique, based on the use of particle systems, to make the real object 'disappear' and be replaced by the animating virtual copy, effectively animating the inanimate. The approach is demonstrated on two objects: a juice carton and a small giraffe sculpture.
description: Computer Graphics and Visual Computing (CGVC)
description: AR and VR
description: 71
description: 78
description: Eleftherios Ioannou and Steve Maddock
description: CCS Concepts: Computing methodologies --> Mixed / augmented reality; Animation; Image processing; Applied computing --> Fine arts