cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Understanding the Effects of Correlation in Modelling Construction Cost Uncertainty
Creators: Thibault, Jace D
Publisher: name: University of Alberta Library
Year: 2022

Estimating costs for construction projects is a complex and often uncertain process. Given the inherent uncertainty of estimating and the unique risk profile of each construction project, many owners use cost uncertainty analysis to understand a project’s range of potential costs. Since results of the analysis can determine whether a project proceeds or how a project’s budget is set, it is essential that model results represent the actual range of costs that exists for a project. Various studies of actual and estimated costs have found cost underestimation, which occurs when estimates fail to adequately anticipate potential cost overruns, to be a persistent issue. While the causes of cost underestimation are numerous, this thesis focuses on two contributing methodology deficiencies: the inaccurate representation of uncertainty in model inputs and failing to account for correlation between model inputs. To address the former deficiency, the research examines elicitation biases, explores leading elicitation protocols, and demonstrates the application of the Sheffield elicitation framework (SHELF) protocol to cost uncertainty analysis for a construction project. To address the latter deficiency, this research proposes a Monte Carlo simulation experiment to test the hypothesis that since cost uncertainty (measured by standard deviation) is affected by correlation between model inputs, modelling correlated inputs independently results in underestimation of cost uncertainty. The experiment involves generating correlated cost item data, collecting statistics and generating independent samples, applying three correlation modelling methods, and evaluating those methods relative to the correlated data under a variety of scenarios. Experimental results found that independent modelling yielded an underestimation of cost uncertainty in most cases and that correlation modelling methods generated less error on average. A case study is also presented for the application of correlation modelling methods to cost uncertainty analysis of a light rail transit (LRT) project.
Natural analogues inhibiting selective cyclin-dependent kinase protein isoforms: a computational perspective
Creators: name: Singh, Rahul
name: Bhardwaj, Vijay
name: Pralay Das
name: Rituraj Purohit
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Cyclin-dependent kinases (CDKs) are known for their vital role in regulating cell cycle progression through protein-kinase interactions. CDKs also help in regulating transcription and development of the central nervous system. Inhibition of CDKs is a very fundamental approach for drug discovery in areas of different types of cancers, Alzheimer’s, and HIV infections. The present research focuses on finding a novel, potent, and specific natural inhibitors of CDK isoforms (CDK2, CDK5, CDK7, CDK9). Molecular docking, molecular dynamics (MD) simulations, and Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) were carried out to get an in-depth understanding of protein–ligand interactions. Based on our molecular docking results, Ligands-3, 5, 14, and 16 were screened among 17 different Pyrrolone-fused benzosuberene compounds as potent and specific inhibitors without any cross-reactivity against different CDK isoforms. Analysis of MD simulations and MM-PBSA studies, revealed the binding energy profiles of all the selected complexes. Our selected ligands performed better than the standard inhibitor (Roscovitine). Ligands-3 and 14 show specificity for CDK7 and Ligands-5 and 16 were specific against CDK9. These ligands are expected to possess lower risk of side effects due to their natural origin. Moreover, the backbone structure of these ligands could also be exploited to develop specific inhibitors against other CDK isoforms. Communicated by Ramaswamy H. Sarma
Incremental Task Learning with Incremental Rank Updates
Creators: name: Hyder, Rakib
name: Shao, Ken
name: Hou, Boyu
name: Markopoulos, Panos
name: Prater-Bennette, Ashley
name: Asif, M. Salman
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Incremental Task learning (ITL) is a category of continual learning that seeks to train a single network for multiple tasks (one after another), where training data for each task is only available during the training of that task. Neural networks tend to forget older tasks when they are trained for the newer tasks; this property is often known as catastrophic forgetting. To address this issue, ITL methods use episodic memory, parameter regularization, masking and pruning, or extensible network structures. In this paper, we propose a new incremental task learning framework based on low-rank factorization. In particular, we represent the network weights for each layer as a linear combination of several rank-1 matrices. To update the network for a new task, we learn a rank-1 (or low-rank) matrix and add that to the weights of every layer. We also introduce an additional selector vector that assigns different weights to the low-rank matrices learned for the previous tasks. We show that our approach performs better than the current state-of-the-art methods in terms of accuracy and forgetting. Our method also offers better memory efficiency compared to episodic memory- and mask-based approaches. Our code will be available at https://github.com/CSIPlab/task-increment-rank-update.git
description: Code will be available at https://github.com/CSIPlab/task-increment-rank-update.git
Exploration of the effects of sequence variations between HIV-1 and HIV-2 proteases on their three-dimensional structures
Creators: name: Dhoha Triki
name: Kermarrec, Maxime
name: Visseaux, Benoît
name: Descamps, Diane
name: Flatters, Delphine
name: Anne-Claude Camproux
name: Regad, Leslie
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Computational Biology

description: HIV protease inhibitors (PIs) approved by the FDA (US Food and Drug Administration) are a major class of antiretroviral. HIV-2 protease (PR2) is naturally resistant to most of them as PIs were designed for HIV-1 protease (PR1). In this study, we explored the impact of amino-acid substitutions between PR1 and PR2 on the structure of protease (PR) by comparing the structural variability of 13 regions using 24 PR1 and PR2 structures complexed with diverse ligands. Our analyses confirmed structural rigidity of the catalytic region and highlighted the important role of three regions in the conservation of the catalytic region conformation. Surprisingly, we showed that the flap region, corresponding to a flexible region, exhibits similar conformations in PR1 and PR2. Furthermore, we identified regions exhibiting different conformations in PR1 and PR2, which could be explained by the intrinsic flexibility of these regions, by crystal packing, or by PR1 and PR2 substitutions. Some substitutions induce structural changes in the R2 and R4 regions that could have an impact on the properties of PI-binding site and could thus modify PI binding mode. Substitutions involved in structural changes in the elbow region could alter the flexibility of the PR2 flap regions relative to PR1, and thus play a role in the transition from the semi-open form to the closed form, and have an impact on ligand binding. These results improve the understanding of the impact of sequence variations between PR1 and PR2 on the natural resistance of HIV-2 to commercially available PIs. Communicated by Ramaswamy H. Sarma
Inferred musculature and kinematics of the forelimb in a lambeosaurine hadrosaurid dinosaur
Creators: Hamilton, Samantha Marie
Publisher: name: University of Alberta Library
Year: 2022

Hadrosaurid dinosaurs are largely considered to be facultatively bipedal. However, a distinct lack of well-described hadrosaurid postcranial material in the literature makes comparative analysis of hadrosaurid biomechanics difficult. A newly recovered lambeosaurine (crested) hadrosaurid from the Oldman Formation of southern Alberta presents an ideal specimen for comparative biomechanical analysis due to the high level of preservation of its pectoral girdle, forelimbs, manus, and sternal plates. Here, the osteology of the forelimb and pectoral girdle of TMP2015.044.0036 is described in detail and its morphology is compared with other known ornithopods. The musculature of the pectoral girdle and forelimb of TMP2015.044.0036 is inferred based on phylogenetic bracketing. Finally, the range of motion is assessed for the shoulder, elbow, and wrist of TMP2015.044.0036, and this inferred range of motion is used to plot muscle trajectories of the shoulder musculature onto a three-dimensional computational model of the articulated pectoral girdle and forelimb of TMP2015.044.0036. This model is used to estimate moment arms for these muscles. Findings suggest that TMP2015.044.0036 habitually utilized its forelimbs in quadrupedal locomotion, as evidenced by a rigid pectoral region, a pillar-like manus, cartilaginous carpals, and hoof-like unguals for distal phalanges. Limited range of motion of the shoulder, elbow, and manus suggest that movement was limited to anterior-posterior swing which is corroborated by very well-developed muscles involved in humeral protraction and retraction, namely M. pectoralis, M. supracoracoideus and M. coracobrachialis, and a lack of well-developed humeral adduction-abduction musculature. This study lends support to the hypothesis that hadrosaurids represent principally quadrupedal animals.
Search for singly produced top partners in trilepton final state using data collected by the ATLAS detector from pp collisions at √s = 13 TeV
Creators: name: Roy, Avik
name: 0000-0002-0116-1012
Publisher: name: The University of Texas at Austin
Year: 2021
Subjects: Single production of VLQ
Interpretation
Trilepton

description: This thesis presents the search for a heavy, up-type vector-like quark (VLQ), or Top Partner, with charge +2/3. Top Partners are predicted in well motivated models of new physics beyond the Standard Model. Having collected data with the ATLAS detector during 2015-2018 run of the LHC at a center-of-mass energy of 13 TeV, I describe in this dissertation an analysis searching for Top Partners produced by the fusion of a W boson and a bottom quark and decaying into a Z boson and a top quark with a kinematic signature of three leptons. Since the search performed by analyzing the data collected in 2015-16 does not provide sufficient evidence in favor of VLQ discovery, we set limits on Top Partner mass as a function of its coupling constants. In order to extend this search for the entire dataset collected by ATLAS in Run 2 and facilitate a general interpretation and combination of all single VLQ searches in ATLAS, a generalized, semi-analytical framework for model-independent interpretation of the results of a generic search for the single production of VLQs in terms of the free parameters in the VLQ Lagrangian is presented. Additional studies are performed to facilitate computationally manageable signal generation for a fine grid of VLQ mass and couplings, probe interference between VLQ and standard model processes, and quantify contribution of sub-dominant diagrams. Finally, an updated analysis strategy to expand the previously mentioned search for the entire Run 2 dataset is described with initial results for kinematic distributions as well as expected limits on cross-sections, Top Partner masses, and couplings.
Statistical Analysis of Intermolecular Interactions in Trypsin-Inhibitor Complexes
Creators: name: Janeka Gartia
name: Barnwal, Ravi Pratap
name: Kandala V. R. Chary
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Developmental Biology

description: Trypsin-inhibitor complexes address a major group of protein-protein or protein-peptide complexes that have been extensively studied over the decades. Yet, to the best of our knowledge, a detailed analysis of intermolecular interactions present in these complexes is an uncharted territory. A rigorous investigation of such interactions is of immense significance in the development of efficient drugs or inhibitors against any enzyme. Our present work describes a detailed statistical analysis of intermolecular interactions and the underlying amino acid preferences, which are crucial in trypsin-protein/peptide inhibitor complexes, which in turn could facilitate designing robust peptide-based inhibitors against trypsin, to be used in pharmacological intervention.
Can You Fool AI by Doing a 180? $\unicode{x2013}$ A Case Study on Authorship Analysis of Texts by Arata Osada
Creators: name: Nieuwazny, Jagna
name: Nowakowski, Karol
name: Ptaszynski, Michal
name: Masui, Fumito
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper is our attempt at answering a twofold question covering the areas of ethics and authorship analysis. Firstly, since the methods used for performing authorship analysis imply that an author can be recognized by the content he or she creates, we were interested in finding out whether it would be possible for an author identification system to correctly attribute works to authors if in the course of years they have undergone a major psychological transition. Secondly, and from the point of view of the evolution of an author's ethical values, we checked what it would mean if the authorship attribution system encounters difficulties in detecting single authorship. We set out to answer those questions through performing a binary authorship analysis task using a text classifier based on a pre-trained transformer model and a baseline method relying on conventional similarity metrics. For the test set, we chose works of Arata Osada, a Japanese educator and specialist in the history of education, with half of them being books written before the World War II and another half in the 1950s, in between which he underwent a transformation in terms of political opinions. As a result, we were able to confirm that in the case of texts authored by Arata Osada in a time span of more than 10 years, while the classification accuracy drops by a large margin and is substantially lower than for texts by other non-fiction writers, confidence scores of the predictions remain at a similar level as in the case of a shorter time span, indicating that the classifier was in many instances tricked into deciding that texts written over a time span of multiple years were actually written by two different people, which in turn leads us to believe that such a change can affect authorship analysis, and that historical events have great impact on a person's ethical outlook as expressed in their writings.
Mechanosensing modulates dendritic cell function and metabolism
Creators: Chu, Kevin
Publisher: name: University of Alberta Library
Year: 2022

Dendritic cells (DCs) are antigen presenting cells critical for the initiation of the adaptive immune response. As such, DCs continually circulate the body to survey for foreign antigen in the periphery. DCs encounter a milieu of environmental cues within the traversed microenvironment that can modulate their metabolism and function during inflammation or infection. DC signaling in response to cytokine and pattern recognition receptor stimulation have been extensively characterized. However, DCs also encounter non-immunological cues from the microenvironment that may contribute to the collective regulation of the immune response. A less well studied non-immunological cue is tension exerted by substrate stiffness. In early experiments, our collaborators observed substrate tension could modulate DC cytokine production and activation. In response to tension, DCs also upregulated the expression of TAZ, a transcription co-activator. TAZ is involved in mechanosensing in non-immune cell types and has a homolog known as YAP with similar functionality, hinting that DC mechanosensing may involve YAP/TAZ signaling. In addition, through enrichment analysis, we found that respiratory diseases were strongly predicted to be associated with tensional changes to DC biology.

My research aims to expand on these observations using an in vitro culturing protocol whereby bone-marrow derived DCs (BMDCs) are grown on substrates engineered to a stiffness of 2 or 50 kPa, or on plastic only conditions. In my study, I examined whether substrate stiffness could modulate DC antigen presentation and metabolism, as DC maturation and function are intimately connected with metabolic changes. To study the involvement of YAP/TAZ on DC mechanosensing in a respiratory context, we adopted an influenza model. In this model, I examined the day 9 antiviral response in mice with DC specific deletion of YAP/TAZ after immunization with mouse adapted H1N1 influenza. Overall, I found that BMDCs grown on plastic were better at activating T cells, and the effects of substrate stiffness on DC maturation may be a reversible process. Furthermore, DCs conditioned on stiff substrates displayed increased glycolysis and oxidative phosphorylation, suggesting DC metabolism could be modulated by substrate stiffness. As YAP/TAZ translocate into the nucleus upon activation, I incorporated image flow cytometry to probe for the translocation of YAP/TAZ in DCs in response to tension. BMDCs conditioned on 50 kPa and plastic demonstrate a trend of increasing nuclear YAP/TAZ translocation, hinting at the involvement of YAP/TAZ in DC mechanosensing. Interestingly, despite this observation and tension induced upregulation of TAZ in BMDCs, the deletion of YAP/TAZ in DCs did not impair day 9 antiviral response.
Merged experimental guided computational strategy toward tuberculosis treatment mediated by alveolar macrophages mannose receptor
Creators: name: Maharshi Thalla
name: Kant, Kamal
name: Dalchand Sharma
name: Rawat, Ravi
name: Subham Banerjee
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Macrophage mannose receptor (MMR) is a C-type lectin that regulates the phagocytosis and phagocytosis-lysosome (P-L) fusion in tuberculosis. Mannose-capped lipoarabinomannan (ManLAM), a lipoglycan present at the surface of Mycobacterium tuberculosis (MT), is an important factor in phagocyte attachment and internalization that is specific for MMR. Based on this idea, herein we have designed our experiment to understand the better site-specific delivery against tuberculosis. An experimental outcome was used as a basis to revisit the reverse experimental strategy for tuberculosis management. Stearic mannose was prepared from stearic acid incubation with the D-mannose. Interestingly, stearic mannose explained its internalisation via stimulating actin-mediated phagocytic pathway of MMR experimentally. Following, an in silico strategy towards hypothetical designing of various mannose-stearyl conjugates (SBKK1-7) against tuberculosis, as binding promoter of MMR (PDB: 1EGI), was carried out using molecular docking and dynamics approaches. Overall, SPKK-5 viz. ortho stearic mannose (OSM) showed a higher binding affinity with notable H-bonding and hydrophobic interactions. Pharmacokinetic and toxicity examinations illustrated an ideal range of descriptors values for apex screened compounds. Molecular dynamics simulations have confirmed its significant intactness with the MMR. Ultimately, the whole effort led to the identification of promising hit (SBKK-5), which positively correlates with the experimental work and furthermore need to explore its novel drug delivery systems with improved anti-tubercular therapy.
Balancing the trade-off between cost and reliability for wireless sensor networks: a multi-objective optimized deployment method
Creators: name: Chen, Long
name: Xu, Yingying
name: Xu, Fangyi
name: Hu, Qian
name: Tang, Zhenzhou
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences
subject: I.6.3

description: The deployment of the sensor nodes (SNs) always plays a decisive role in the system performance of wireless sensor networks (WSNs). In this work, we propose an optimal deployment method for practical heterogeneous WSNs which gives a deep insight into the trade-off between the reliability and deployment cost. Specifically, this work aims to provide the optimal deployment of SNs to maximize the coverage degree and connection degree, and meanwhile minimize the overall deployment cost. In addition, this work fully considers the heterogeneity of SNs (i.e. differentiated sensing range and deployment cost) and three-dimensional (3-D) deployment scenarios. This is a multi-objective optimization problem, non-convex, multimodal and NP-hard. To solve it, we develop a novel swarm-based multi-objective optimization algorithm, known as the competitive multi-objective marine predators algorithm (CMOMPA) whose performance is verified by comprehensive comparative experiments with ten other stateof-the-art multi-objective optimization algorithms. The computational results demonstrate that CMOMPA is superior to others in terms of convergence and accuracy and shows excellent performance on multimodal multiobjective optimization problems. Sufficient simulations are also conducted to evaluate the effectiveness of the CMOMPA based optimal SNs deployment method. The results show that the optimized deployment can balance the trade-off among deployment cost, sensing reliability and network reliability. The source code is available on https://github.com/iNet-WZU/CMOMPA.
description: 25 pages
X‐Ray Absorption Fingerprints from Cs Atoms in Cs3Sb
Creators: name: Cocchi, Caterina
Publisher: name: Humboldt-Universität zu Berlin
Year: 2020
Subjects: subject: Bethe–Salpeter equation
subject: density-functional theory calculations
subject: multialkali antimonides
subject: X-ray absorption near-edge structure
subject: 530 Physik

description: X-ray absorption spectroscopy represents a valuable characterization tool for complex materials like multialkali antimonides. The interpretation of such experimental results greatly benefits from state-of-the-art theoretical references. In a first-principles work based on density-functional theory and many-body perturbation theory, the fingerprints of X-ray absorption near-edge structure (XANES) of Cs3Sb from the Cs K- and L3-edge are unraveled. From the electronic structure and the orbital character of the conduction bands, the contributions to the XANES spectra from the two inequivalent Cs atoms in the adopted stoichiometric unit cell are analyzed. The predominant weight of Cs s- and d-electrons in the unoccupied region anticipates the relatively high signal yielded by the L3-edge. Clear atomic signatures, in the form of a pronounced excitonic peak, are visible in the Cs K-edge spectra. In the XANES from the L3-edge, both Cs atoms yield similar contributions, which are yet distinguishable in the presented calculations. Quantitative analysis enabled by the adopted methodology reveals that electron–hole correlation effects manifest themselves mainly through a redistribution of the oscillator strength to lower energies, whereas exciton binding energies are on the order of a few hundred meV.
A Framework for Safe Evaluation of Offline Learning
Creators: Radi, Hager
Publisher: name: University of Alberta Library
Year: 2022

The world offers unprecedented amounts of data in real-world domains, from which we can develop successful decision-making systems. It is possible for reinforcement learning (RL) to learn control policies offline from such data but challenging to deploy an agent during learning in safety-critical domains. Although an environment is essential, offline RL learns from historical data without access to an environment. Therefore, it is essential to find a technique for estimating how a newly-learned agent will perform when deployed in the real environment before actually deploying it. For instance, in medical domains, we cannot afford to deploy a bad policy. Moreover, if data is costly, we would like to know how much data is needed to learn a good enough policy so that we stop paying for data and let the new policy take over. \\To achieve this, we introduce a framework for safe evaluation of offline learning using approximate high-confidence off-policy evaluation (HCOPE). We focus on safety so that the probability that our agent performs below a baseline is approximately $\delta$, where $\delta$ specifies how much risk is reasonable. In our setting, we assume access to data, which we split into a train-set to learn an offline policy, and a test-set to estimate a lower-bound on the offline policy using off-policy evaluation with bootstrap confidence intervals. A lower-bound estimate allows us to decide when to deploy our learned policy with minimal risk of overestimation. We verify our proposed framework on a range of tasks as well as real-world medical data. Since current offline RL methods rely on some environment for evaluation, this thesis fills a real gap on how offline agents can be evaluated while learning given data only and with high confidence.
Identification of the Phospholipid Binding Regions of the Envelope E Protein of Flaviviruses by Molecular Dynamics
Creators: name: Carpio, Laureano E.
name: Villalaín, José
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Neuroscience
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: The Flavivirus genus comprise several important human pathogens, including dengue, West Nile, Yellow fever, Japanese encephalitis, Zika and tick-borne encephalitis viruses. These enveloped viruses affect more than 2 billion people in the world, mainly in less developed countries. Although some vaccines exist for some flaviviruses, these vaccines are not universally available due to many factors and since their infections are a world-wide public health issue, the development of antiviral molecules is fundamental. Flavivirus membranes, through the help of the envelope E glycoprotein, fuse with endosomal compartments in a pH-dependent way to release their genome into the cytoplasm and require specific lipids, such as bis(monoacylglycero)phosphate (BMP), for efficient fusion. The fundamental role the envelope E protein has on viral entry and membrane fusion suggest that it is an essential antiviral target. In this work, we have used atomistic molecular dynamics simulations to study the binding of the head-group of BMP to the tip of the envelope E proteins of ZIKV, DENV, TBEV and JEV viruses whose three-dimensional structures are known. Our results indicate that, apart from the fusion loop, there are different amino acid residues in different regions of the envelope E proteins of flaviviruses capable of binding the head-group of BMP. These regions should work together to accomplish the binding and fusion of the envelope and endosomal membranes and represent a new target to develop and design potent and effective antiviral agents capable of blocking flavivirus-endosome membrane fusion.
Application of Machine Learning to Automate Classification and Information Extraction in Industrial Construction Documents
Creators: Sajadfar, Narges
Publisher: name: University of Alberta Library
Year: 2022

Industrial construction projects are usually mega-projects that involve millions of labour person-hours and generate hundreds of thousands of documents. Construction documents represent a vital source of information and knowledge regarding the project scope. Documents come in different types and include structured information such as data tables and unstructured information such as text, images, and drawings. The documents may consist of contract forms, drawings that define the quantities and qualities of materials, standards, and specifications required to carry out the project. Documents usually involve multi-versions and address different systems in a project, such as architectural, structural, electrical, and mechanical systems. The ability to extract and organize structured and unstructured information from these documents is a time-consuming process that is critical for effective project control and decision making. This task is more challenging and labour-intensive when documents are provided in image formats requiring human intervention to extract the required information. The objective of this research is to address this challenge by introducing an automated approach for managing and extracting information from construction documents. This research describes the development of automatic classification and information extraction based on both the text and images in industrial construction documents. The development of the proposed method includes the testing of various deep learning classification algorithms, to identify suitable models for construction documents.

The results of the research confirmed the effectiveness of machine learning algorithms for classifying and extracting information from unstructured construction documents with limited text. This dissertation makes a major contribution by presenting a high-precision classification approach for construction documents that incorporates scanned images, with different sizes and resolutions. Furthermore, the method of automatic title block detection was demonstrated for unstructured construction documents in this research.
N-Heterocyclic Olefins: Applications in Catalysis and Low-Coordinate Element Stabilization
Creators: Watson, Ian C.
Publisher: name: University of Alberta Library
Year: 2022

The work in this Thesis outlines the use of N-heterocyclic olefins (NHOs) as organocatalysts, as supporting ligands in palladium-catalyzed cross-coupling, and the development of anionic NHOs as ligands for main group element and transition metal centers. N-Heterocyclic olefin-hydridodiborane complexes were synthesized with the aim of performing the catalytic hydroboration of ketones and aldehydes with pinacolborane. These NHO-hydridodiborane complexes were not active catalysts, but the precursor NHOs were the catalyst in the hydroboration of ketones and aldehydes. New NHOs were synthesized and explored as supporting ligands in BuchwaldHartwig aminations. Through a combination of imaging, poisoning, and kinetic experiments, it was determined that a well-defined NHO-supported Pd0 complex was not the active catalyst, but palladium nanoparticles formed in situ. NHO-AlR3 Lewis acid-base adducts were shown to catalyze the polymerization of acrylic Michael-type monomers via a frustrated Lewis pair mechanism. A two-coordinate zinc(II) complex supported by anionic N-heterocyclic olefin (aNHO) ligands was synthesized and was shown to undergo transmetallation with

main group element halides and hydrides. Group 4 and Group 8 metal centers were also stabilized by aNHO ligands.
Mutation of critical residues reveals insights of Yellow Fever Virus Nonstructural protein 1 (NS1) stability and its formation
Creators: name: Menezes, Gabriela De Lima
name: Gonçalves, Ricardo Lemes
name: Lima, Raisa Melo
name: Maristela Pereira
name: Moreli, Marcos Lázaro
name: Silva, Roosevelt Alves Da
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: 60506 Virology
subject: Computational Biology

description: Mutation of critical residues reveals insights of Yellow Fever Virus Nonstructural protein 1 (NS1) stability and its formation
A Qualitative Exploration of Limb Loss
Creators: name: Havlin, Heather
Publisher: name: Lancaster University
Year: 2022
Subjects: Limb loss
Qualitative
Amputation
Military
Sports

description: This thesis offers a qualitative exploration of the experience of living with limb loss and is comprised of a literature review, research paper and critical appraisal of the research process. The literature review synthesised qualitative research exploring the experience of amputation and rehabilitation for members of the military. The results from 16 papers were synthesised using a meta-ethnographic approach and three themes were developed from the data: ‘Making the physical and psychological transition to life after amputation’, ‘The role of the military culture in rehabilitation’ and ‘The impact of relationships and the gaze of others during rehabilitation and beyond’. Findings highlighted the difficulties of transitioning to civilian life, the helpfulness of the military culture and identity during rehabilitation, and the importance of relationships and the perceived views of others. Clinical implications of these findings are discussed along with suggestions for further research. The research paper explored the meaning and experience of sport participation and identity for people following limb loss. Nine participants were interviewed, and data analysed using interpretative phenomenological analysis. Four themes were developed from the data: ‘Enabling a feeling of normality and equality’, ‘Becoming a better person’, ‘Belonging and connection’, and ‘Experiencing and responding to the gaze of others’. The findings demonstrated the impact of taking part in sport on the sense of self and identity, and the personal benefits it brought. Findings are discussed in relation to existing literature and implications for clinical practice are highlighted. Finally, the critical appraisal explored the strengths and limitations of the research paper, along with personal reflections on the process of carrying out the research. Salient points that presented along the course of the research, including the challenges of carrying out research amongst this population, language used, and the impact of the researcher during the process are also discussed.
Valence Instability In Nano-Form Of Eupd2Si2Compound
Creators: name: K.K.Iyer
name: Upadhyay, Sanjay Kumar
name: P.L.Paulose
name: .V.Sampathkumaran
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
IoT Anomaly Detection Methods and Applications: A Survey
Creators: name: Chatterjee, Ayan
name: Ahmed, Bestoun S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly expanding field. This growth necessitates an examination of application trends and current gaps. The vast majority of those publications are in areas such as network and infrastructure security, sensor monitoring, smart home, and smart city applications and are extending into even more sectors. Recent advancements in the field have increased the necessity to study the many IoT anomaly detection applications. This paper begins with a summary of the detection methods and applications, accompanied by a discussion of the categorization of IoT anomaly detection algorithms. We then discuss the current publications to identify distinct application domains, examining papers chosen based on our search criteria. The survey considers 64 papers among recent publications published between January 2019 and July 2021. In recent publications, we observed a shortage of IoT anomaly detection methodologies, for example, when dealing with the integration of systems with various sensors, data and concept drifts, and data augmentation where there is a shortage of Ground Truth data. Finally, we discuss the present such challenges and offer new perspectives where further research is required.
description: 22 pages
Optimization of Potential Non-covalent Inhibitors for SARS-CoV-2 Main Protease Inspected by a Descriptor of Subpocket Occu-pancy
Creators: name: Song, Jinshuai
Publisher: name: figshare
Year: 2022
Subjects: subject: 111504 Pharmaceutical Sciences
subject: FOS: Clinical medicine

description: Input and output files for this project
Multiferroicity In Haldane Chain Based Polycrystalline R2Banio5 (R=Tb, Sm)
Creators: name: Upadhyay, Sanjay Kumar
name: Kartik K Iyer
name: E.V. Sampathkumaran
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Hieracium villosum
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Hieracium
Hieracium villosum

description: Hieracium villosum aggr.
Gewöhnliches Zottiges Habichtskraut
Art ISFS: 205900 Checklist: 1023490 Asteraceae Hieracium Hieracium villosum aggr. Enthält: Hieracium pilosum Froel. Hieracium villosum Jacq.
Bestimmungsschlüssel
ZusammenfassungKEINE ANGABE Status
Status IUCN: Nicht gefährdet
Ökologie
Lebensraum Lebensraumnach Delarze & al. 2015
KEINE ANGABE
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl F--Lichtzahl L--Salzzeichen--Reaktionszahl R--Temperaturzahl T--Nährstoffzahl N--Kontinentalitätszahl K--
Nomenklatur
Gültiger Name (Checklist 2017):Hieracium villosumaggr.
Volksname Deutscher Name: Gewöhnliches Zottiges Habichtskraut Nom français: Epervière velue
Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Hieracium villosum aggr.Checklist 2017205900=Hieracium villosum aggr.SISF/ISFS 2205900
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Status Indigenat: Indigen
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein
Status Rote Liste national 2016
Status IUCN: Nicht gefährdet
Zusätzliche InformationenKriterien IUCN: --
Status Rote Liste regional 2019
Biogeografische RegionenStatusKriterien IUCNJura (JU)nicht gefährdet (Least Concern)Mittelland (MP)--Alpennordflanke (NA)nicht gefährdet (Least Concern)Alpensüdflanke (SA)nicht gefährdet (Least Concern)Östliche Zentralalpen (EA)nicht gefährdet (Least Concern)Westliche Zentralalpen (WA)nicht gefährdet (Least Concern)
Status nationale Priorität /Verantwortung
Keine nationale Priorität oder internationale Verantwortung
Schutzstatus
Kein internationaler, nationaler oder kantonaler Schutz
description: Published as part of Info Flora, 2021,
title: Application of high‐performance DIC for a comprehensive evaluation of biaxial fatigue crack growth experiments
Creators: name: Blug, Andreas
name: Conrad, Fabian
name: Bertz, Alexander
name: Kontermann, Christian
name: Carl, Daniel
name: Oechsner, Matthias
Publisher: name: Wiley-Blackwell
Year: 2024

description: Precise determination of the remaining service life of technical components requires sufficient knowledge of fatigue crack growth behaviour and the growth rate of defects. Cracks in real components often experience multiaxial far field stresses due to their complex geometry and composite loadings acting on it. Digital image correlation (DIC) is well established for crack length and displacement measurements, but it usually requires sample preparation with speckle paint and interferes with mechanical extensometers. To overcome these limitations, we use a novel 2D DIC system combining a graphics processing unit (GPU) with a CoaXPress 2.0 camera, acquiring up to 3 GB/s of image data. It enables real‐time evaluation of both integral strain like an extensometer and full‐field DIC on images selected automatically in real‐time. This combination enables the use of one single sensor for strain‐controlled testing and fatigue crack growth characterisation. The full‐field displacement is compared to a finite‐element model (FEM) simulating the actual crack contour measured by the DIC system. The results show that high‐performance DIC has the potential to simultaneously simplify crack‐growth experiments and provide comprehensive fracture mechanical information.
The curdlan and/or anti-VISTA monoclonal antibody enhances innate and adaptive immune responses in the mouse model of melanoma
Creators: Mashhouri, Siavash
Publisher: name: University of Alberta Library
Year: 2022

During the past decade, the field of immuno-oncology has been revolutionized by the emergence of immune checkpoint inhibitors (ICIs). However, acquired resistance to ICIs and relapse after immunotherapy are associated with defects in antigen presentation and the upregulation of exhaustion ligands in tumours. Therefore, identifying new approaches to overcome these barriers is crucial to improve the quality of life and increase the survival rate in cancer patients. Dendritic cell-associated C-type lectin-1 (Dectin-1) is a C-type lectin receptor best known for its ability to recognize β-glucan-rich structures in fungal cell walls. Dectin-1 is expressed in myeloid cells and tumour cells, however, its role in cancer has been the subject of debate and controversy. Therefore, I decided to investigate the role of Dectin-1 in B16-F10 melanoma and CT26 colorectal tumour models. I found that myeloid cells were the most dominant cells in terms of Dectin-1 expression. In particular, I found that Dectin-1+ myeloid cells exhibited an activated phenotype characterized by elevated levels of CD80, CD86, and MHC Class II levels in the tumour microenvironment (TME). For the very first time, based on my knowledge, observed a strong co-expression/co-localization of Dectin-1 with V-domain Ig suppressor of T cell activation (VISTA), Programmed death-ligand 1 (PD-L1), Programmed death-ligand 1 (PD-L2), and T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) in myeloid cells from the TME versus spleen in tumor-bearing mice. Our results indicated that Dectin-1 is commonly expressed by active tumor-associated myeloid cells. However, I found significantly greater levels of Dectin-1 at the gene and protein levels in myeloid cells from the B16-F10 model. Therefore, I decided to further investigate the role of Dectin-1 in the B16-F10 model by deleting this molecule (using Dectin-1 knockout) or stimulating Dectin-1 by treating mice with curdlan (a β-glucan ligand. Although Dectin-1 deletion had no effects on tumor progression, curdlan treatment significantly enhanced the innate and adaptive immune responses resulting in reduced tumor progression. Therefore, Dectin-1 stimulation could be considered a potential target concurrent with ICIs since it engages innate and adaptive immune responses. These results provide more justification for designing novel immunotherapy strategies by reprogramming the TME to target both arms of the immune system.
Why Choose EPSICON for Your Traffic Management Needs?
Creators: name: Epsicon Traffic
Publisher: name: Zenodo
Year: 2020
Subjects: traffic management Melbourne

description: Known as the leading traffic management Melbourne company, Epsicon provides basic and extreme traffic control to any event while prioritising the safety of road workers and users. Check some of the reasons why you should choose Epsicon. #TrafficManagementMelbourne
Inhibition Of Assimilation Of Ti With Zirconium Based Thin Films
Creators: name: S. Thanka Rajan
name: AnushaThampi VV
name: Hanawa, Takao
name: Chen, Peng
name: B. Subramanian
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Examining The Effects Of Perceptual-Motor Variability On The Perception Of Action Capabilities In Virtual And Real Environments
Creators: name: Lin, Lisa
Publisher: name: Lancaster University
Year: 2022

description: Successful interactions within the environment are contingent upon the perceiver’s ability to perceive the maximum extent over which they can perform actions, commonly referred to as action boundaries. Individuals are extremely sensitive to their action boundaries, and the perceptual system can quickly and flexibly recalibrate to changes in the size of action boundaries in the event of physiological and/or environmental changes. However, action boundaries are learned over time from perceptual-motor feedback across different environmental and physiological contexts, the information upon which action boundaries are based must inherently be characterised by variability. As a result, the judgement of one’s action boundary is more likely based on probability distribution rather than an immutable, exact borderline. Hence, the question then arises as to where on that distribution do people decide that an action is possible. This thesis, therefore, seeks to understand how the perceptual system accounts for overt perceptual-motor variability in motor performance and recalibrate to new action boundary following changes in one’s action capabilities. In 11 experimental studies, this thesis examined (1) how the perceptual system accounts for overt perceptual-motor variability in motor performance for different actions, and (2) whether the perceptual system employs different strategies to determine action boundary to accommodate demands arisen from the consequences and costs-benefits ratios of a particular action. The findings of this thesis suggest that the point on the distribution that acts as the judged action boundary varies as a function of task. Specifically, the strategy in which the perceptual system employs to determine action boundary after experiencing overt perceptual-motor variability in motor performance is specific the action, and the consequences and/or cost-benefits ratios of the outcome of a particular action but not the context. By using different approaches for different actions on an ad hoc basis to determine action boundaries, the perceptual system would be able to maximise the efficiency of information processing in the event of perceptual motor uncertainties, while minimising the exposure to potentially dangerous situations and aversive consequences. These findings of this thesis have broader theoretical and practical implications for future research in affordance perception and perceptual-motor recalibration.
title: Ruesch Arnold
title: 11.1.1882-10.7.1929
titleType: Subtitle
Creators: name: Pollak, Ludwig
Publisher: name: Zentralbibliothek Zürich
Year: 1930
Subjects: subject: 920 Biografien, Genealogie, Insignien
subject: Nachruf
subject: Ruesch, Arnold
subject: Neapel
subject: Zürich

description: Sonderdruck aus: Italien, Monatsschrift für Kultur, Kunst und Literatur, 3. Jahrgang, Heft 4, 1930