cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Random potentials for Markov processes
Creators: name: Kondratiev, Yuri
name: da Silva, José L.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47D07, 37P30, 60G22, 47A30

description: The paper is devoted to the integral functionals $\int_0^\infty f(X_t)\,{\mathrm{d}t}$ of Markov processes in $\X$ in the case $d\ge 3$. It is established that such functionals can be presented as the integrals $\int_{\X} f(y) \G(x, \mathrm{d}y, ω)$ with vector valued random measure $\G(x, \mathrm{d}y, ω)$. Some examples such as compound Poisson processes, Brownian motion and diffusions are considered.
description: 12 pages. arXiv admin note: text overlap with arXiv:2006.07514
Leucanthemopsis alpina subsp. alpina
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Leucanthemopsis
Leucanthemopsis alpina
Leucanthemopsis alpina (l.) heywood subsp. alpina

description: Leucanthemopsis alpina (L.) Heywood subsp. alpina
Gewöhnliche Alpenmargerite
Unterart ISFS: 236020 Checklist: 1026610 Asteraceae Leucanthemopsis Leucanthemopsis alpina (L.) Heywood Leucanthemopsis alpina (L.) Heywood subsp. alpina
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): Grundständige Blätter kammförmig-fiederschnittig oder gezähnt, jederseits mit 2-5 Zipfeln oder Zähnen, Mittelteil an der Basis nur 1-2 mm breit. Dunkelbrauner Rand der Hüllblätter oft weniger breit als der helle Mittelteil. Früchte ca. 3 mm lang.
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Kalkfliehend /
Verbreitung global (nach Lauber & al. 2018): Westalpin-pyrenäisch
Ökologische Zeigerwerte (nach Landolt & al. 2010) 322-513.h.2n=18
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):Leucanthemopsis alpina(L.) Heywood subsp.alpina
Volksname Deutscher Name: Gewöhnliche Alpenmargerite Nom français: Marguerite des Alpes
Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Leucanthemopsis alpina (L.) Heywood subsp. alpinaChecklist 2017236020=Leucanthemopsis alpina (L.) Heywood subsp. alpinaFlora Helvetica 20182119
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Kommentare aus der Checklist 2017 Neues Taxon: Gegenüber SISF-2 neu aufgenommenes Taxon. Die Benennung und Einstufung wird dem in der Checklist 2017 verwendeten Konzept angepasst. Checklist
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)--Mittelland (MP)--Alpennordflanke (NA)ungenügende Datengrundlage (Data Deficient)Alpensüdflanke (SA)ungenügende Datengrundlage (Data Deficient)Östliche Zentralalpen (EA)ungenügende Datengrundlage (Data Deficient)Westliche Zentralalpen (WA)ungenügende Datengrundlage (Data Deficient)
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,
Developing Area-Triggered Whole-Farm Margin-based Safety Nets
Creators: Iskander, Abram
Publisher: name: University of Alberta Library
Year: 2022

The objective of this project was to consider the feasibility of possible alternatives to the current Agri-Stability program. These alternatives consist of customizable area-based whole-farm program where payments are based on a regional trigger. Problems, associated with designing a simple index, based on revenues across relevant commodities in a region, are considered and alternative strategies to implement the alterative program are developed. The analysis is both conceptual and backed up with stochastic simulations that test alternative approaches and consider trade-offs. Results show that there is a relatively high false negative probability of payouts due to spatial, design, other covariate, and idiosyncratic basis risks. The persistence of basis risk means that the uptake of an area-triggered program will be limited. Reducing basis risk will improve uptake, but this requires addressing design risk and spatial basis risk.
Towards Automated and Accurate Radiology Report Generation
Creators: Nguyen, Tran Nhat Hoang
Publisher: name: University of Alberta Library
Year: 2022

Radiology reports are the primary medium through which physicians communicate findings and diagnoses from patients' medical scans. Examples include radiology reports for chest radiographs, CT scans of the brain, medical reports of retinal images, and more. However, the process of writing medical reports is tedious, error-prone, and time-consuming, even for experienced radiologists. Moreover, a Covid-19 or similar pandemic could exacerbate the existing problems to all health care systems worldwide. Therefore, this thesis explores the ability to automate diagnosing diseases and accurately generate radiology reports to alleviate the burdens of medical doctors.

This thesis describes a new fully end-to-end differentiable paradigm that consists of three major complementary modules: Classifier, Generator, and Interpreter. Particularly, taking the chest radiographs and related information as inputs, the classifier module produces state-aware disease embeddings by polarizing visual disease features into different directions, referred to as disease states (e.g., positive, negative, uncertain, or unmentioned). With the awareness of the disease states, a semantic version of the disease representation is formed, referred to as EnricheD DIsease Embeddings (EDDIE), and passed to a transformer-based generator to produce meaningful medical reports. The generated reports are fed to the interpreter to ensure consistency with respect to the disease classification checklist. This three-step approach ensures that the visual information is always semantic enough to generate medical reports. Meanwhile, the generated reports must exactly describe the detected diseases, avoiding overfitting to any dominant class (e.g., due to imbalanced datasets) or language metric (i.e., by cheating the generation process).

The proposed model is evaluated on different datasets with commonly-used metrics concerning language fluency, clinical accuracy, and human evaluation. Empirical evaluations demonstrate that the proposed model can make more accurate diagnoses and generate more fluent and precise reports than existing baselines. Moreover, noticeable performance gains are consistently observed when additional contextual information is available, such as the patients' clinical background documents and extra scans from different views.
GS&E journal > Dimensioning of silicone adhesive joints: Eurocode-compliant, mesh-independent approach using the FEM
Creators: name: Drass, Michael
name: Kraus, Michael
Publisher: name: Challenging Glass Conference Proceedings
Year: 2020

description: This paper deals with the application of the semi-probabilistic design concept (level I, DIN EN 1990) to structural silicone adhesives in order to calibrate partial material safety factors for a stretch-based limit state equation. Based on the current legal situation for the application of structural sealants in façades, a new Eurocode-compliant design concept is introduced and compared to existing design codes (ETAG 002). This is followed by some background information on semi-probabilistic reliability modeling and the general framework of the Eurocode for the derivation of partial material safety factors at Level I. Within this paper, a specific partial material safety factor is derived for DOWSIL 993 silicone on the basis of experimental data. The data were then further evaluated under a stretch-based limit state function to obtain a partial material safety factor for that specific limit state function. This safety factor is then extended to the application in finite element calculation programs in such a way that it is possible for the first time to perform mesh-independent static calculations of silicone adhesive joints. This procedure thus allows for great optimization of structural sealant design with potentially high economical as well as sustainability benefits. An example for the static verification of a bonded façade construction by means of finite element calculation shows (i) the application of EC 0 to silicone adhesives and (ii) the transfer of the EC 0 method to the finite element method with the result that mesh-independent ultimate loads can be determined.
description: Challenging Glass Conference Proceedings, Vol 7 (2020): Challenging Glass 7
title: Preoperative Surgical Planning
Creators: name: Fauser, Johannes Ludwig
Publisher: name: UNSPECIFIED
Year: 2020

description: Since several decades, minimally-invasive surgery has continuously improved both clinical workflow and outcome. Such procedures minimize patient trauma, decrease hospital stay or reduce risk of infection. Next generation robot-assisted interventions promise to further improve on these advantages while at the same time opening the way to new surgical applications. Temporal Bone Surgery and Endovascular Aortic Repair are two examples for such currently researched approaches, where manual insertion of instruments, subject to a clinician's experience and daily performance, could be replaced by a robotic procedure. In the first, a flexible robot would drill a nonlinear canal through the mastoid, allowing a surgeon access to the temporal bone's apex, a target often unreachable without damaging critical risk structures. For the second example, robotically driven guidewires could significantly reduce the radiation exposure from fluoroscopy, that is exposed to patients and surgeons during navigation through the aorta. These robot-assisted surgeries require preoperative planning consisting of segmentation of risk structures and computation of nonlinear trajectories for the instruments. While surgeons could so far rely on preoperative images and a mental 3D model of the anatomy, these new procedures will make computational assistance inevitable due to the added complexity from image processing and motion planning. The automation of tiresome and manually laborious tasks is therefore crucial for successful clinical implementation. This thesis addresses these issues and presents a preoperative pipeline based on CT images that automates segmentation and trajectory planning. Major contributions include an automatic shape regularized segmentation approach for coherent anatomy extraction as well as an exhaustive trajectory planning step on locally optimized Bézier Splines. It also introduces thorough in silico experiments that perform functional evaluation on real and synthetically enlarged datasets. The benefits of the approach are shown on an in house dataset of otobasis CT scans as well as on two publicly available datasets containing aorta and heart.
Leucanthemopsis alpina subsp. minima Holub
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Leucanthemopsis
Leucanthemopsis alpina
Leucanthemopsis alpina subsp. minima (vill.) holub

description: Leucanthemopsis alpina subsp. minima (Vill.) Holub
Zwerg-Alpenmargerite
Unterart ISFS: 236030 Checklist: 1026630 Asteraceae Leucanthemopsis Leucanthemopsis alpina (L.) Heywood Leucanthemopsis alpina subsp. minima (Vill.) Holub
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): Grundständige Blätter oft graufilzig, fast radiär geteilt, mit genäherten Zipfeln, diese 1-4mal so lang wie breit, Mittelteil an der Basis 2-5 mm breit, oben schmaler. Dunkelbrauner Rand der Hüllblätter mindestens so breit wie der helle Mittelteil. Früchte ca. 4 mm lang.
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Auch auf Kalk /
Ökologische Zeigerwerte (nach Landolt & al. 2010) 332-513.h.2n=36
Status
Status IUCN: Nicht gefährdet
Nationale Priorität: --
Internationale Verantwortung: --
Ökologie
Lebensform Mehrjähriger Hemikryptophyt
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):Leucanthemopsis alpinasubsp.minima(Vill.) Holub
Volksname Deutscher Name: Zwerg-Alpenmargerite Nom français: Marguerite des Alpes naine
Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Leucanthemopsis alpina subsp. minima (Vill.) HolubChecklist 2017236030=Leucanthemopsis alpina subsp. minima (Vill.) HolubFlora Helvetica 20182120=Leucanthemopsis minima (Vill.) MarchiSISF/ISFS 2236100
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Kommentare aus der Checklist 2017 Neue Rangstufe: Wechsel von Art zu Unterart. Entspricht Leucanthemopsis minima (Vill.) Marchi gemäss SISF-2. Checklist
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)--Mittelland (MP)--Alpennordflanke (NA)ungenügende Datengrundlage (Data Deficient)Alpensüdflanke (SA)ungenügende Datengrundlage (Data Deficient)Östliche Zentralalpen (EA)ungenügende Datengrundlage (Data Deficient)Westliche Zentralalpen (WA)ungenügende Datengrundlage (Data Deficient)
Status nationale Priorität /Verantwortung
Nationale Priorität--Massnahmenbedarf--Internationale Verantwortung--Überwachung Bestände--
Schutzstatus
Kein internationaler, nationaler oder kantonaler Schutz
description: Published as part of Info Flora, 2021,
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
Creators: name: Echeberria-Barrio, Xabier
name: Gil-Lerchundi, Amaia
name: Goicoechea-Telleria, Ines
name: Orduna-Urrutia, Raul
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Deep Neural Networks were first developed decades ago, but it was not until recently that they started being extensively used, due to their computing power requirements. Since then, they are increasingly being applied to many fields and have undergone far-reaching advancements. More importantly, they have been utilized for critical matters, such as making decisions in healthcare procedures or autonomous driving, where risk management is crucial. Any mistakes in the diagnostics or decision-making in these fields could entail grave accidents, and even death. This is preoccupying, because it has been repeatedly reported that it is straightforward to attack this type of models. Thus, these attacks must be studied to be able to assess their risk, and defenses need to be developed to make models more robust. For this work, the most widely known attack was selected (adversarial attack) and several defenses were implemented against it (i.e. adversarial training, dimensionality reduc tion and prediction similarity). The obtained outcomes make the model more robust while keeping a similar accuracy. The idea was developed using a breast cancer dataset and a VGG16 and dense neural network model, but the solutions could be applied to datasets from other areas and different convolutional and dense deep neural network models.
description: 11 pages, 10 figures, CISIS2020 conference
A Narrative Inquiry into the Experiences of Syrian Refugee Families with Children Living with  Disabilities
Creators: Beka, Vanesa
Publisher: name: University of Alberta Library
Year: 2022

Children with disabilities are among the most at-risk groups for marginalization due to compounded disadvantages from the intersection of risk factors such as refugee status and

disability status. Despite this high risk, there is no systematic data collected on this group and scant literature on the topic contributing to a feeling of invisibility. We conducted a narrative inquiry on the experiences of two Syrian refugee families with children living with disabilities. Narrative inquiry is a way to understand experience as a storied phenomenon. In order to understand the complexities of the experience as a refugee with a child living with disabilities, attending to the lived and told stories is essential. In hearing the narration of these experiences across time, place, and social contexts various narrative threads emerged. The narrative threads

that resonated across the experiences of two families included waiting and a struggle for agency, as well as disruption and continuity.
Brill-Noether special cubic fourfolds of discriminant 14
Creators: name: Auel, Asher
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14C30, 14E08, 14H51, 14J28, 14J70

description: We study the Brill-Noether theory of curves on K3 surfaces that are Hodge theoretically associated to cubic fourfolds of discriminant 14. We prove that any smooth curve in the polarization class has maximal Clifford index and deduce that a cubic fourfold contains disjoint planes if and only if it admits a Brill-Noether special associated K3 surface of degree 14. As an application, the complement of the pfaffian locus, inside the Noether-Lefschetz divisor of discriminant 14 in the moduli space of cubic fourfolds, is contained in the irreducible locus of cubic fourfolds containing two disjoint planes.
description: 19 pages
title: ChemStrucLearn – KI-basierte Bilderkennung zur Diagnose von Schülerfehlern beim Zeichnen von Strukturformeln
Creators: name: Thoms, Lars-Jochen
name: Rothlin, Tobias
name: Purandare, Mitra
name: Loch, Frieder
name: Huwer, Johannes
Publisher: name: Publikationsserver der Pädagogischen Hochschule Thurgau
Year: 2024

description: Das Lehrvorhaben ChemStrucLearn zielt darauf ab, angehenden Gymnasiallehrpersonen der naturwissenschaftlichen Fächer die Grundlagen der KI-basierten Bilderkennung zu vermitteln. Im Fokus steht die Anwendung eines YOLO-Modells zur Erkennung handgezeichneter chemischer Strukturformeln. Die Teilnehmenden erlernen die Datensammlung und Annotation, das Training und die Optimierung des Modells sowie dessen Einsatz im Unterricht. Besonderes Augenmerk liegt auf der Erkennung typischer Schülerfehler, der Einrichtung individueller Lernwege und der Integration adaptiven Lernens in den Unterricht.
description: Kompetenzen für den Unterricht mit und über Künstliche Intelligenz: Perspektiven, Orientierungshilfen und Praxisbeispiele für die Lehramtsausbildung in den Naturwissenschaften, p. 66
title: Nichtgenerative KI im Biologieunterricht am Beispiel von Bilderkennung zur Blattbestimmung
Creators: name: Albicker, Julia
name: Yanakieva, Elena
name: Knittel, Vanessa
name: Welker, Vanessa
name: Becka, Thomas
name: Pampel, Barbara
name: Bieniusa, Annette
name: Huwer, Johannes
name: Thyssen, Christoph
Publisher: name: Publikationsserver der Pädagogischen Hochschule Thurgau
Year: 2024

description: Im Projekt „GeNIUS (Gelingensbedingungen naturwissenschaftlich-informatischen Unterrichts)“ wurde mit Lehrkräften eine Unterrichtseinheit inkl. flankierender Lehrkräftefortbildung konzipiert, in der Funktionsprinzipien von Künstlicher Intelligenz (KI) beim Einsatz zur Bilderkennung im Kontext einer Blattbestimmung untersucht werden. Mittels spezifischer Trainings- und Testdatensätze können deren Einflüsse auf die Ergebnisse in einem vorstrukturierten Setting demonstriert und untersucht werden. Adressierte Ziele sind – neben biologischen Aspekten – Kompetenzen und Wissen zur Funktionsweise und Anwendung von KI bei der Merkmalsidentifikation von Laubblättern.
description: Kompetenzen für den Unterricht mit und über Künstliche Intelligenz: Perspektiven, Orientierungshilfen und Praxisbeispiele für die Lehramtsausbildung in den Naturwissenschaften, p. 134
Dynamics and intensity noise suppression in an all-polarization-maintaining fiber mode-locked laser
Creators: Adnan,Sakib
Publisher: name: University of Alberta Library
Year: 2022

Recent developments in fiber-based mode-locked lasers have made them increasingly robust

and flexible. This development trend makes theses lasers more accessible for industrial and

scientific applications. In this thesis, we describe the construction and characterization of

a robust and flexible all-polarization-maintaining ytterbium-doped fiber laser, mode-locked

with a nonlinear amplifying loop mirror. The design of the laser provides robust and easily

achievable mode-locking. Moreover, our laser includes “tuning knobs” inside the cavity that

provide a great degree of dynamic flexibility in its operation. We utilized this flexibility

to implement a novel mechanism for intensity noise suppression and achieve extremely lownoise

operation. The pump-to-output transfer bandwidth of the laser was also investigated

theoretically and experimentally in order to understand a trade-off between the bandwidth

available for active laser stabilization and intensity noise suppression.
Fluctuations of the rightmost particle in the catalytic branching Brownian motion
Creators: name: Bocharov, Sergey
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60J80

description: In this article we establish the magnitude of fluctuations of the extreme particle in the model of binary branching Brownian motion with a single catalytic point at the origin.
description: 28 pages
Molecular Dynamic Simulation Studies Of Thermal Diffusion Of Lithium And Lithium Based Alloys
Creators: name: S. Biswas
name: D. C. Joshi
name: S. Ghosh
name: S. Thota
name: P. Mishra
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.
GS&E journal: Investigations on the execution and evaluation of the Pummel test for polyvinyl butyral based interlayers
Creators: name: Schuster, Miriam
name: Schneider, Jens
name: Nguyen, Tuong An
Publisher: name: Challenging Glass Conference Proceedings
Year: 2020

description: Laminated safety glass (LSG) is increasingly used as structural element in buildings. Of central importance for safety are the adhesion and the residual load-bearing capacity in the post fractured state. In literature a large number of tests to assess adhesion is mentioned. These include, e.g. peel tests, through-cracked-tensile/-bending tests, VW-pull tests and compressive shear tests. However, especially in industry, the Pummel test is widespread for determining the quality of adhesion in LSG with polyvinyl butyral based interlayers. This test method proves to be simple and quick to carry out: The laminate is stored at − 18 °C and then completely destroyed at room temperature with hammer blows. The adhesion level (0–10) is determined by visually comparing the adhering glass fragments with reference pictures or with the help of diagrams and tables which indicate the Pummel value as a function of the free film surface. Pummel value 0 is to be interpreted as no adhesion and Pummel value 10 as very high adhesion. Due to the lack of standardization, the execution and evaluation is very much dependent on the test institution and executive person. This paper shows different Pummel classifications that can currently be found on the market. Subsequently, approaches to the automatization and standardization of the execution and especially the evaluation of the Pummel test are shown. Three image evaluation methods in Matlab are presented, discussed and compared: (1) analysis of binary images, (2) statistical evaluation of the greyscale images and (3) texture analysis using co-occurrence matrices.
description: Challenging Glass Conference Proceedings, Vol 7 (2020): Challenging Glass 7
Mixed Low-bit Quantization for Model Compression with Layer Importance and Gradient Estimations
Creators: Liu, Hongyang
Publisher: name: University of Alberta Library
Year: 2022

Deep neural networks (DNNs) have been widely used in the modern world in recent years. However, due to the substantial memory consumption and high computational power use of DNNs, deploying them on devices with limited resources is challenging. Model compression methods can provide us with a remedy here. Among those techniques, neural network quantization has achieved a high compression rate using a low bitwidth representation of weights and activations while maintaining the accuracy of the high-precision original network. However, mixed precision (per-layer bit-width precision) quantization requires careful tuning to maintain accuracy while achieving further compression and higher granularity than fixed precision quantization. In this thesis, We propose an accuracy-aware criterion to quantify the layer’s importance rank. Our method applies imprinting per layer, which acts as a proxy module for accuracy estimation in an efficient way. We rank the layers based on the accuracy gain from previous modules and iteratively quantize those with less accuracy. Previous mixed-precision methods either rely on expensive search techniques such as reinforcement learning (RL) or end-to-end optimization with a lack of interpretation

to the quantization configuration scheme. Our method is a one-shot, efficient, accuracy-aware information estimation and thus draws better interpretability to the selected bit-width configuration. We have also pointed out the problem of

the Straight-Through Estimator (STE), which is commonly used for gradients estimation in the quantization field. We’ve discussed some ways to address the problem of using STE.
Recomendações sobre o uso de preprints no campo da História - Fórum de Editores – ANPUH-Brasil
Creators: name: Fórum De Editores De Periódicos Da Anpuh-Brasil
Publisher: name: Zenodo
Year: 2022
Subjects: preprint

description: Documento de orientação, para autores(as) e equipes editoriais, com sugestões de como proceder no caso de uso de preprints na área de História. O documento foi discutido, ao longo do primeiro semestre de 2022, e aprovado em Reunião do Fórum de Editores da Anpuh, em 4 de julho de 2022
description: {"references": ["CONSELHO NACIONAL DE DESENVOLVIMENTO CIENT\u00cdFICO E TECNOL\u00d3GICO. Diretrizes de Integridade na atividade cient\u00edfica, proposta pelo CNPq. CNPq. 2012. Dispon\u00edvel em: https://www.gov.br/cnpq/pt-br/composicao/comissao-de-integridade. Acesso em: 12 set. 2019.", "DOI. Frequently Asked Questions about the DOI\u00ae System. doi. Dispon\u00edvel em: https://www.doi.org/faq.html. Acesso em: 17 mar. 2022.", "HETTNE, Kristina; AARDENING, Ron; GORP, Dirk van; HUKKELHOVEN, Chantal; LOORBACH, Nicole; SONDERVAN, Jeroen; WESENBEECK, Astrid van. A Practical Guide to Preprints: Accelerating Scholarly Communication (1.0). Zenodo. 2021. Dispon\u00edvel em: https://doi.org/10.5281/zenodo.5600535. Acesso em: 16 abr. 2022.", "PUEBLA, Iratxe; SAFER, Rachel; TIERNEY, Heather. Preprints. COPE Discussion Document, 2018. Dispon\u00edvel em: https://publicationethics.org/files/u7140/COPE_Preprints_Mar18.pdf. Acesso em: 9 nov. 2021.", "REDALYC. Pr\u00e1cticas editoriales que mejoran la publicaci\u00f3n de una revista cient\u00edfica. XML JATS Redalyc en R2020. 19 de maio de 2021. Dispon\u00edvel em: https://xmljatsredalyc.org/2021/05/19/practicas-editoriales-que-mejoran-la-publicacion-de-una-revista-cientifica/. Acesso em: 28 abr. 2022.", "SCIELO BRASIL. Crit\u00e9rios, pol\u00edtica e procedimentos para a admiss\u00e3o e a perman\u00eancia de peri\u00f3dicos na Cole\u00e7\u00e3o SciELO Brasil. SciELO Brasil. 13 de maio de 2020. Dispon\u00edvel em: https://wp.scielo.org/wp-content/uploads/20200500-Criterios-SciELO-Brasil.pdf. Acesso em: 28 jun. 2020.", "SEVER, Richard; INGLIS, John. Opinion: In Defense of Preprints. The Scientist. Dispon\u00edvel em: https://www.the-scientist.com/news-opinion/opinion-in-defense-of-preprints-69399. Acesso em: 17 mar. 2022.", "SOUSA, Marcos Eduardo. Fluxograma comparativo de recebimento e envio de artigos em conson\u00e2ncia com as pr\u00e1ticas de Ci\u00eancia Aberta [v. 1]. Zenodo. 2022. Dispon\u00edvel em: https://doi.org/10.5281/zenodo.6331730. Acesso em: 16 abr. 2022.", "UNESCO. Recomenda\u00e7\u00e3o da UNESCO sobre Ci\u00eancia Aberta. UNESCO. Tradu\u00e7\u00e3o de Tikinet Edi\u00e7\u00e3o. 2022. Dispon\u00edvel em: https://unesdoc.unesco.org/ark:/48223/pf0000379949_por. Acesso em: 11 fev. 2022."]}
Polaritonic Enhancement of Near-field Scattering of Small Molecules Encapsulated in Boron Nitride Nanotubes
Creators: name: Datz, Daniel
name: Nemeth, Gergely
name: Pekker, Aron
name: Kamaras, Katalin
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Near-field spectroscopy has been extensively applied recently to analyze collective optical properties of materials at the nanoscale. However, vibrations of small molecules were only recognizable in close proximity to a metallic resonator. We show that encapsulation in boron nitride nanotubes (BNNT) enhances the near-field vibrational spectra of C$_{60}$ fullerene, reaching a sensitivity limit of a few hundred molecules. Furthermore, products of chemical reactions inside the tubes can be identified, so long as their vibrational signatures lie in the polariton gap of the BNNT.
description: 7 pages, 4 figures
Exploration of Microscopic Structure and Dynamics in Halide Perovskite and Perovskite−Inspired Materials with Solid-State NMR Spectroscopy
Creators: Karmakar, Abhoy
Publisher: name: University of Alberta Library
Year: 2022

The work presented in this thesis describes the synthesis, structure, and optical properties of three different classes of halide-based perovskite materials, namely, metal halide perovskites of ABX3 type, halide double perovskites of A2B'B"X6 type, and “vacancy-ordered perovskites” of A2BX6 type that have recently been used in various applications, including photovoltaic solar cells, light-emitting diodes, photodetectors, hard radiation detectors, photocatalysis, and many more. The materials were prepared by conventional solvent-based synthesis, and solvent-free mechanochemical and high temperature synthesis routes. A thorough investigation of long- to short-range structural investigation has been undertaken for these materials to understand their complete structural motifs, where, powder X-ray diffraction is used to determine their average long-range structure and crystallinity, and solid-state nuclear magnetic resonance (NMR) spectroscopy is used to study their short (< 5 Å) and medium (5−10 Å) structure, dynamics (ion and polyhedral dynamics), degradation kinetics, and mechanisms of these materials. UV-vis-NIR diffuse reflectance spectroscopy has been used to determine the optical absorption properties and bandgap values for these polycrystalline materials, whereas steady-state and time-resolved photoluminescence spectroscopy have been used to understand their optical light emission properties.
ORBIT Grant Application Data Field Survey Report
Creators: name: Brown, Josh
name: Demeranville, Tom
name: Laurel, Haak
name: Meadows, Alice
Publisher: name: ORCID
Year: 2019
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences

description: This report summarizes the results of the ORBIT Funder Working Group survey of grant application data needs carried out in 2017, in which nine research funding bodies from four continents participated.These included large national multidisciplinary funders from seven countries and discipline-focused philanthropic funders from two countries. The report incorporates comments from the group and has been endorsed for publication as an output of the group. A full list of FWG organizational members can be found at https://orcid.org/about/community/working-group/funders
Improved estimation with multiple data types for medium term mine planning
Creators: Camana Calderon, Fernando Agustin
Publisher: name: University of Alberta Library
Year: 2022

Drilling is the primary source of geological information in the form of rock samples for geological logging and chemical assays. There are data from multiple drilling types in an open-pit mining operation, with unique technical features, costs, volume support, and sampling error and bias. The most common drilling types are diamond drilling and blast-holes. Drilling data is classified into primary and secondary according to the confidence and quality of the information. Primary data corresponds to the highest quality and confidence, and usually, diamond drilling is considered primary data. Secondary data presents lower confidence and quality, and usually, the blast-holes are considered in this classification. Access to real data is always quite limited. Besides, many times researching requires data with specific geo-statisticl features. Data simulation can provide a solution to these restrictions.

This research has developed a procedure for simulating drilling data, with similar statistics and features to the real one and adjustable to the requirements of the user. The procedure simulates the distribution inside each drill hole, replicates drilling supports and sampling protocols to get data from multiple drilling types, specifically diamond drilling and blast holes.

Simulated drilling data is used to estimate different resources models used in the ore control process, focusing on the medium-term model. The effects of dataset bias in the profits and ore/waste classification are also assessed for different resources models. Besides the ordinary kriging estimation, a cokriging outline is implemented to take advantage of the multiple simulated data types.

The simulation method provides highly realistic data of multiple drilling types. They have been tested several times to check the correct reproduction of input parameters and distribution features.  The simulated data have been used in resource estimation and assessing the performance of the different models used in the ore control process. The medium-term model estimated using cokriging and simulated drilling data provides better results and profits than models estimated using a single dataset type. The bias impacts negatively in the profits as expected, but under some conditions, it can diminish the loss in profits by misclassification.
Conjectures on spectral properties of ALIF algorithm
Creators: name: Barbarino, Giovanni
name: Cicone, Antonio
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: A new decomposition method for nonstationary signals, named Adaptive Local Iterative Filtering (ALIF), has been recently proposed in the literature. Given its similarity with the Empirical Mode Decomposition (EMD) and its more rigorous mathematical structure, which makes feasible to study its convergence compared to EMD, ALIF has really good potentiality to become a reference method in the analysis of signals containing strong nonstationary components, like chirps, multipaths and whistles, in many applications, like Physics, Engineering, Medicine and Finance, to name a few. In [11], the authors analyzed the spectral properties of the matrices produced by the ALIF method, in order to study its stability. Various results are achieved in that work through the use of Generalized Locally Toeplitz (GLT) sequences theory, a powerful tool originally designed to extract information on the asymptotic behavior of the spectra for PDE discretization matrices. In this manuscript we focus on answering some of the open questions contained in [11], and in doing so, we also develop new theory and results for the GLT sequences.
Identification of Protein-Protein Interactors of the Corneal Dystrophy-Causing Protein, SLC4A11
Creators: ALSHUMAIMERI, NADA A.
Publisher: name: University of Alberta Library
Year: 2022

Endothelial corneal dystrophies are eye diseases characterized by dysfunction of the innermost layer of the cornea, resulting in disruption of the regulation and homeostasis of corneal deturgescence and, ultimately, impaired visual acuity. Gene mutations are responsible for many corneal endothelial dystrophies, suggesting that further insight into the roles of these genes and how their coded proteins interact with others may provide us with a better understanding of the causes behind these disorders. Mutations of the solute carrier family 4-member 11 (SLC4A11), a member of the SLC4 family of bicarbonate transporters, cause congenital hereditary endothelial dystrophy (CHED) and some cases of Fuchs endothelial corneal dystrophy (FECD). SLC4A11 is not, however, a bicarbonate transporter. Rather SLC4A11 is a H+/ OH-, H2O, and NH3 transporter. SLC4A11 mutations compromise the trans-endothelial water flux of the cornea. This arises from misfolding of SLC4A11 protein, causing its retention in the endoplasmic reticulum (ER), or affecting the function of SLC4A11. SLC4A11 also plays a role in corneal endothelial cell (CEC) adhesion to the underlying Descemet’s membrane as well, suggesting that defective CEC adhesion may contribute to the pathophysiology of endothelial dystrophies. This thesis investigates the role of SLC4A11 in endothelial corneal dystrophies by identification of protein-protein interactors of SLC4A11, using the membrane yeast two hybrid system (MYTH). Six unique, full-length proteins were detected as protein interactors with SLC4A11, and one of them, Ovarian Cancer Immunoreactive Antigen Domain Containing-1 (OCIAD1), was studied in greater detail using a variety of cell and tissue models due to its role in both the mitochondria and cell adhesion processes. Here, we show clear colocalization of SLC4A11 with OCIAD1 in bovine corneas, and that co-expression of the two proteins increases cell adhesion to the cornea Descemet’s membrane and protein migration to the cell surface in HEK293 cells. This thesis describes the identification of protein-protein interaction between OCIAD1 and SLC4A11.
On Decoding of Reed-Muller Codes Using a Local Graph Search
Creators: name: Kamenev, Mikhail
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We present a novel iterative decoding algorithm for Reed-Muller (RM) codes, which takes advantage of a graph representation of the code. Vertices of the considered graph correspond to codewords, with two vertices being connected by an edge if and only if the Hamming distance between the corresponding codewords equals the minimum distance of the code. The algorithm uses a greedy local search to find a node optimizing a metric, e.g. the correlation between the received vector and the corresponding codeword. In addition, the cyclic redundancy check can be used to terminate the search as soon as a valid codeword is found, leading to an improvement in the average computational complexity of the algorithm. Simulation results for both binary symmetric channel and additive white Gaussian noise channel show that the presented decoder approaches the performance of maximum likelihood decoding for RM codes of length less than 1024 and for the second-order RM codes of length less than 4096. Moreover, it is demonstrated that the considered decoding approach outperforms state-of-the-art decoding algorithms of RM codes with similar computational complexity for a wide range of block lengths and rates.
description: Accepted for Publication in IEEE Transactions on Communications. This paper has been presented in part at the 2020 IEEE Information Theory Workshop (https://ieeexplore.ieee.org/document/9457605)
Synthesis Of Cu2Znsns4 Thin Film By Rf-Magnetron Sputtering For Solar Cell Applications
Creators: name: V.Parthibaraj
name: K.S. Pugazhvadivu
name: C. Rangasami
name: K. Tamilarasan
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.
On Bilinear Hardy Inequality and Corresponding Geometric Mean Inequality
Creators: name: Gogatishvili, Amiran
name: Jain, Pankaj
name: Kanjilal, Saikat
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: Analysis of PDEs (math.AP)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 26D10, 46E35

description: The main aim of this paper to provide several scales of equivalent conditions for the bilinear Hardy inequalities in the case $1< q, p_1, p_2<\infty$ with $q \geq \max(p_1,p_2)$.
Implicit Gradient Regularization
Creators: name: Barrett, David G. T.
name: Dherin, Benoit
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Gradient descent can be surprisingly good at optimizing deep neural networks without overfitting and without explicit regularization. We find that the discrete steps of gradient descent implicitly regularize models by penalizing gradient descent trajectories that have large loss gradients. We call this Implicit Gradient Regularization (IGR) and we use backward error analysis to calculate the size of this regularization. We confirm empirically that implicit gradient regularization biases gradient descent toward flat minima, where test errors are small and solutions are robust to noisy parameter perturbations. Furthermore, we demonstrate that the implicit gradient regularization term can be used as an explicit regularizer, allowing us to control this gradient regularization directly. More broadly, our work indicates that backward error analysis is a useful theoretical approach to the perennial question of how learning rate, model size, and parameter regularization interact to determine the properties of overparameterized models optimized with gradient descent.
description: Correction to formula A.14 in Appendix A.1 and update to the acknowledgments
Data Efficient Solar Disaggregation with Behind-the-meter Energy Resources
Creators: Chen, Xinlei
Publisher: name: University of Alberta Library
Year: 2022

Solar photovoltaic (PV) generation is one of the fastest-growing renewable energy sources worldwide. Almost half of this growth is projected to be behind-the-meter (BTM) installations — typically PV systems mounted on the rooftop of a home or a commercial building. Today, utilities neither have visibility into BTM distributed energy resources (DER) nor the analytical tools to reliably estimate the amount of solar power injected at any given time into their distribution feeders, a vital piece of information for crafting new tariffs and planning future investments to mitigate voltage problems and manage bidirectional power flows. This has given rise to research on signal processing and machine learning techniques that can be applied to disaggregate solar generation from the net load that is measured by a smart meter. In addition, as battery pack prices continue to decline and new pricing schemes are being introduced, many customers with PV installations will be inclined to install a battery to shift the PV output to align with the peak demand time. This "solar-plus-battery" system, when installed behind the meter, makes the disaggregation problem even harder to solve because some fluctuations in the net load that were useful for disaggregation will be smoothed out by the battery.

        This thesis aims to solve some of the challenges in the solar disaggregation problem under the assumption that the historical disaggregated data from the target home is unavailable and the deployment characteristic of BTM energy resources (e.g., PV systems and batteries) are unknown. We propose a data-efficient solar disaggregation method to estimate solar power generated by a BTM PV system and show that as long as there is one real proxy, other real proxies can be replaced with synthetic ones generated by a physical PV model with negligible loss of accuracy. We then examine how the improved solar disaggregation accuracy affects the performance of three state-of-the-art non-intrusive load monitoring (NILM) methods, namely Factorial Hidden Markov Model (FHMM), Sequence-to-Point (Seq2Point), and Denoising Autoencoder (DAE). NILM methods help residential customers understand how much money they spend on different appliances, especially energy-hungry appliances, such as air conditioner and furnace. Finally, we extend our solar disaggregation method by considering BTM battery storage. We discuss how the physical characteristics of the battery can be inferred from net meter data and how they can be used to facilitate disaggregation. Using a real dataset, we compare our methods with several state-of-the-art methods in two scenarios, which include customers with and without a BTM battery, and show that our methods outperform baselines by a clear margin.
Ordinal Bayesian incentive compatibility in random assignment model
Creators: name: Dasgupta, Sulagna
name: Mishra, Debasis
Publisher: name: arXiv
Year: 2020
Subjects: subject: Theoretical Economics (econ.TH)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Economics and business
subject: FOS: Computer and information sciences

description: We explore the consequences of weakening the notion of incentive compatibility from strategy-proofness to ordinal Bayesian incentive compatibility (OBIC) in the random assignment model. If the common prior of the agents is a uniform prior, then a large class of random mechanisms are OBIC with respect to this prior -- this includes the probabilistic serial mechanism. We then introduce a robust version of OBIC: a mechanism is locally robust OBIC if it is OBIC with respect all independent priors in some neighborhood of a given independent prior. We show that every locally robust OBIC mechanism satisfying a mild property called elementary monotonicity is strategy-proof. This leads to a strengthening of the impossibility result in Bogomolnaia and Moulin (2001): if there are at least four agents, there is no locally robust OBIC and ordinally efficient mechanism satisfying equal treatment of equals.