cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Observation of edge solitons in topological trimer arrays
Creators: name: Kartashov, Y. V.
name: Arkhipova, A. A.
name: Zhuravitskii, S. A.
name: Skryabin, N. N.
name: Dyakonov, I. V.
name: Kalinkin, A. A.
name: Kulik, S. P.
name: Kompanets, V. O.
name: Chekalin, S. V.
name: Torner, L.
name: Zadkov, V. N.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Mathematical Physics (math-ph)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: We report the experimental observation of nonlinear light localization and edge soliton formation at the edges of fs-laser written trimer waveguide arrays, where transition from non-topological to topological phases is controlled by the spacing between neighboring trimers. We found that, in the former regime, edge solitons occur only above a considerable power threshold, whereas in the latter one they bifurcate from linear states. Edge solitons are observed in a broad power range where their propagation constant falls into one of the topological gaps of the system, while partial delocalization is observed when considerable nonlinearity drives the propagation constant into an allowed band, causing coupling with bulk modes. Our results provide direct experimental evidence of the coexistence and selective excitation in the same or in different topological gaps of two types of topological edge solitons with different internal structures, which can rarely be observed even in nontopological systems. This also constitutes the first experimental evidence of formation of topological solitons in a nonlinear system with more than one topological gap.
description: 6 pages, 4 figures
SCREENING CONGENITAL HYPOTHYROIDISM WITH CORD BLOOD THYROID STIMULATING HORMONE (TSH)
Creators: name: Suci Pebrianti
name: Muh. Nasrum Massi
name: Veni Hadju
name: Irda Handayani
name: Stang Stang
Publisher: name: Zenodo
Year: 2024
Subjects: Umbilical Cord Blood, Hypothyroidism, TSH.

description: Abstract

Congenital hypothyroid screening through cord blood TSH levels is a significant preventive measure to detect and manage this condition early. This systematic review discusses congenital hypothyroid screening through cord blood TSH levels for hypothyroid screening by going through several stages: formulating questions, sorting and eligibility of articles, selecting articles to be used, and scoring articles. The article selection process uses the prism flow, and based on this flow, nine articles are obtained that match the research objectives. Various findings from various studies indicate that cord blood TSH estimation is a sensitive and specific marker for screening congenital hypothyroidism, so hypothyroid detection The use of cord blood TSH as a screening tool for congenital hypothyroidism in preventing mental retardation in infants.
Interplay between Charge-Density-Wave, Superconductivity, and Ferromagnetism in CuIr2-xCrxTe4 Chalcogenides
Creators: name: Zeng, Lingyong
name: Hu, Xunwu
name: Wang, Ningning
name: Sun, Jianping
name: Yang, Pengtao
name: Boubeche, Mebrouka
name: Luo, Shaojuan
name: He, Yiyi
name: Cheng, Jinguang
name: Yao, Dao-Xin
name: Luo, Huixia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We report the crystal structure, charge-density-wave (CDW), superconductivity (SC), and ferromagnetism (FM) in CuIr2-xCrxTe4 chalcogenides. Powder x-ray diffraction (PXRD) results reveal that CuIr2-xCrxTe4 series are distinguished between two structural types and three different regions: (i) layered trigonal structure region, (ii) mixed phase regions, (iii) spinel structure region. Besides, Cr substitution for Ir site results in rich physical properties including the collapse of CDW, the formation of dome-shaped like SC, and the emergence of magnetism. Cr doping slightly elevates the superconducting critical temperature (Tsc) to its highest Tsc = 2.9 K around x = 0.06. As x increases from 0.3 to 0.4, the ferromagnetic Curie temperature (Tc) increases from 175 to 260 K. However, the Tc remains unchanged in the spinel range from 1.9 to 2. This finding provides a comprehensive material platform for investigating the interplay between CDW, SC, and FM multipartite quantum states.
description: 38 pages, 7 figures, 1 tables; The manuscript with the same title will be published by J. Phys. Chem. Lett
Representation, learning, and planning algorithms for geometric task and motion planning
Creators: name: Kim, Beomjoon
name: Shimanuki, Luke
name: Kaelbling, Leslie Pack
name: Lozano-Pérez, Tomás
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We present a framework for learning to guide geometric task and motion planning (GTAMP). GTAMP is a subclass of task and motion planning in which the goal is to move multiple objects to target regions among movable obstacles. A standard graph search algorithm is not directly applicable, because GTAMP problems involve hybrid search spaces and expensive action feasibility checks. To handle this, we introduce a novel planner that extends basic heuristic search with random sampling and a heuristic function that prioritizes feasibility checking on promising state action pairs. The main drawback of such pure planners is that they lack the ability to learn from planning experience to improve their efficiency. We propose two learning algorithms to address this. The first is an algorithm for learning a rank function that guides the discrete task level search, and the second is an algorithm for learning a sampler that guides the continuous motionlevel search. We propose design principles for designing data efficient algorithms for learning from planning experience and representations for effective generalization. We evaluate our framework in challenging GTAMP problems, and show that we can improve both planning and data efficiency
The Turing Way – Athena Prize Nomination
Creators: name: Sharan, Malvika
name: Bennett, Arielle
name: Gallimore, Amy
name: Whitaker, Kirstie
Publisher: name: Zenodo
Year: 2022

description: The Royal Society - Athena Prize Nomination submission was made to nominate The Turing Way project led by Dr. Kirstie Whitaker and Dr. Malvika Sharan, representing a core team of 14 members and a community of more than 300 contributors from around the world. The Turing Way champions diversity by challenging traditionally siloed research cultures from every angle and provides a community driven handbook for conducting research in a way that welcomes and supports a truly diverse group of researchers. The Turing Way has embedded equity, diversity and inclusion (EDI) at the very core of its work and has made significant contributions to the wider STEM field on several levels. The Turing Way is much more than a book: it is a 'community of practice' that promotes a culture of collaboration among global contributors with a diverse range of domain expertise. As a community-developed resource, the project belongs to the community and is always a work in progress. Shared under an open licence, everyone can freely read, reuse, distribute, modify, and contribute back to the resources. The project itself is built upon open source infrastructures such as Git, Jupyter Book and Netlify.
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction
Creators: name: Zins, Matthieu
name: Simon, Gilles
name: Berger, Marie-Odile
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this paper, we propose a method for initial camera pose estimation from just a single image which is robust to viewing conditions and does not require a detailed model of the scene. This method meets the growing need of easy deployment of robotics or augmented reality applications in any environments, especially those for which no accurate 3D model nor huge amount of ground truth data are available. It exploits the ability of deep learning techniques to reliably detect objects regardless of viewing conditions. Previous works have also shown that abstracting the geometry of a scene of objects by an ellipsoid cloud allows to compute the camera pose accurately enough for various application needs. Though promising, these approaches use the ellipses fitted to the detection bounding boxes as an approximation of the imaged objects. In this paper, we go one step further and propose a learning-based method which detects improved elliptic approximations of objects which are coherent with the 3D ellipsoids in terms of perspective projection. Experiments prove that the accuracy of the computed pose significantly increases thanks to our method. This is achieved with very little effort in terms of training data acquisition - a few hundred calibrated images of which only three need manual object annotation. Code and models are released at https://gitlab.inria.fr/tangram/3d-aware-ellipses-for-visual-localization
description: International Journal of Computer Vision (IJCV)
Impacts du numérique sur l'environnement (BigDay, 2022)
Creators: name: Benaben, David
Publisher: name: Zenodo
Year: 2022
Subjects: subject: https://www.wikidata.org/entity/Q30749549
subject: https://www.wikidata.org/entity/Q128570

description: Présentation "Impacts du numérique sur l'environnement" BIG Day, Rennes, 18 novembre 2022
HAIDA: Biometric technological therapy tools for neurorehabilitation of Cognitive Impairment
Creators: name: Fernandez, Elsa
name: Sole-Casals, Jordi
name: Calvo, Pilar M.
name: Faundez-Zanuy, Marcos
name: Lopez-de-Ipina, Karmele
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Dementia, and specially Alzheimer s disease (AD) and Mild Cognitive Impairment (MCI) are one of the most important diseases suffered by elderly population. Music therapy is one of the most widely used non-pharmacological treatment in the field of cognitive impairments, given that music influences their mood, behavior, the decrease of anxiety, as well as facilitating reminiscence, emotional expressions and movement. In this work we present HAIDA, a multi-platform support system for Musical Therapy oriented to cognitive impairment, which includes not only therapy tools but also non-invasive biometric analysis, speech, activity and hand activity. At this moment the system is on use and recording the first sets of data.
description: 2 pages
title: Анализ затрат и результатов финансово-хозяйственной деятельности
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебно-методическое пособие содержит теоретический материал по изучаемым темам, вопросы для подготовки к практическим занятиям, задания для практических занятий и самостоятельной работы, темы рефератов, докладов, эссе. Предназначено для студентов, обучающихся по направлению подготовки 38.03.01 «Экономика», профилю 2 «Бухгалтерский учет, анализ и аудит» (уровень бакалавриата).
The Limit Vol.1 No.1 December 1918
Creators: name: University Archive, Loughborough
Publisher: name: Loughborough University
Year: 2024

description: The Limit was Loughborough College’s magazine. Loughborough College was one of the predecessors to Loughborough University and operated from 1918 to 1952. The Limit ran from 1918 to 1955, with three yearly issues, Christmas, Easter and July. It was succeeded by Beyond The Limit in 1960.© Loughborough University
title: The Aboriginal and Torres Strait Islander Child Placement Principle Indicators 2018-19: measuring progress
Creators: name: Australian Institute of Health and Welfare
Publisher: name: Australian Institute of Health and Welfare
Year: 2020
Subjects: subject: FOS: Biological sciences

description: The Aboriginal and Torres Strait Islander Child Placement Principle (ATSICPP) is a framework designed to promote policy and practice that will reduce the over-representation of Aboriginal and Torres Strait Islander children in the child protection system. This report brings together the latest state and territory data on 5 ATSICPP indicators that measure and track the application of the Placement and Connection elements of the ATSICPP.
Symmetry of the Flows of Newtonian and Non-Newtonian Fluids in the Diverging and Converging Plane Channels
Creators: name: Fedyushkin, Alexey I.
name: Puntus, Artur A.
name: Volkov, Evgeny V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The results studying various laminar flow regimes in diverging and converging plain channels (diffuser and confusor) with a small opening angle of channels (diverging and converging angles) are presented. The results are obtained for a viscous incompressible fluid by numerical simulation based on solving the Navier-Stokes equations. The paper presents the results concerning the change in the nature of flows from stationary - symmetric to stationary - asymmetric and to non-stationary in the diffuser and confusor in dependence on the Reynolds number. The ranges of existence of these flow regimes in plane diffusers and confusors depending on the Reynolds number for Newtonian, pseudo plastic and dilatants fluids with the Ostwald-de Waele power law for viscosity are numerically found. The transitions of flow regimes in the diffuser from symmetric steady state to the asymmetric one and to the asymmetric unsteady mode in dependence on the Reynolds number are shown. The values of Reynolds number that determine the existence ranges of these flow modes in the cases of Newtonian and non-Newtonian fluids are given.
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Creators: name: Michels, Tim
name: Petersen, Arne
name: Koch, Reinhard
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Camera calibration methods usually consist of capturing images of known calibration patterns and using the detected correspondences to optimize the parameters of the assumed camera model. A meaningful evaluation of these methods relies on the availability of realistic synthetic data. In previous works concerned with conventional cameras the synthetic data was mainly created by rendering perfect images with a pinhole camera and subsequently adding distortions and aberrations to the renderings and correspondences according to the assumed camera model. This method can bias the evaluation since not every camera perfectly complies with an assumed model. Furthermore, in the field of plenoptic camera calibration there is no synthetic ground truth data available at all. We address these problems by proposing a method based on backward ray tracing to create realistic ground truth data that can be used for an unbiased evaluation of calibration methods for both types of cameras.
description: 9 pages, 8 figures. Accepted at 3DV 2019
title: National Core Maternity Indicators 2018: summary report
Creators: name: Australian Institute of Health and Welfare
Publisher: name: Australian Institute of Health and Welfare
Year: 2020
Subjects: subject: FOS: Biological sciences

description: The National Core Maternity Indicators (NCMIs) present information on measures of clinical activity and outcomes to assist in improving the quality of maternity services in Australia by establishing baseline data for monitoring and evaluating practice change. These indicators cover data for the majority of women who gave birth in Australia from 2004 to 2018 and are grouped into 3 broad topic areas—antenatal period, labour and birth and birth outcomes.
The Turing Way Nominations for OpenUK 2022 Awards - Awarded under Belonging Category
Creators: name: Sharan, Malvika
Publisher: name: Zenodo
Year: 2022

description: This submission to the OpenUK awards was made to nominate The Turing Way project represented by project leads, a community manager, a core team of 14 staff and volunteer members, and a community of more than 340 contributors from around the world. The Turing Way is an open source and community-led project that aims to open up the potential of data science for everyone. The Turing Way champions diversity by challenging traditionally siloed research cultures from every angle and provides a community-driven handbook for conducting research in a way that welcomes and supports a truly diverse group of researchers.
title: Анализ обеспеченности и эффективности использования ресурсов
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебно-методическое пособие содержит теоретический материал по изучаемым темам, вопросы для подготовки к практическим занятиям, задания для практических занятий и самостоятельной работы, темы рефератов, докладов, эссе. Предназначено для студентов, обучающихся по направлению подготовки 38.03.01 «Экономика» профилю 2 «Бухгалтерский учет, анализ и аудит» (уровень бакалавриата).
Correspondence on ACMG STATEMENT: ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG) by Miller et al
Creators: name: McGurk, Kathryn A.
name: Zheng, Sean L.
name: Henry, Albert
name: Josephs, Katherine
name: Edwards, Matthew
name: de Marvao, Antonio
name: Whiffin, Nicola
name: Roberts, Angharad
name: Lumbers, Thomas R.
name: Regan, Declan P. O
name: Ware, James S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Genomics (q-bio.GN)
subject: FOS: Biological sciences

description: We were interested to read the recent update on recommendations for reporting of secondary findings in clinical sequencing1, and the accompanying updated list of genes in which secondary findings should be sought (ACMG SF v3.0)2. Though the authors discuss challenges around incomplete penetrance in considerable detail, we are concerned that the recommendations do not fully convey the degree of uncertainty regarding the penetrance of variants in genes associated with inherited cardiomyopathies, which make up almost a quarter of the list. Since penetrance is incomplete and age-related, individuals found to carry variants will often require surveillance, rather than a one-off definitive diagnostic assessment. There is a lack of evidence regarding benefits, harms, and healthcare costs associated with opportunistic screening.
title: Indigenous eye health measures 2020
Creators: name: Australian Institute of Health and Welfare
Publisher: name: Australian Institute of Health and Welfare
Year: 2020
Subjects: subject: FOS: Biological sciences

description: This is the fourth annual report on the Indigenous eye health measures. The measures cover the prevalence of eye health conditions, diagnosis and treatment services, the eye health workforce and outreach services. The report provides an evidence base for monitoring changes in Indigenous eye health over time, access to and use of eye health services, and for identifying gaps in service delivery.
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Creators: name: Apruzzese, Giovanni
name: Pajola, Luca
name: Conti, Mauro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Enhancing Network Intrusion Detection Systems (NIDS) with supervised Machine Learning (ML) is tough. ML-NIDS must be trained and evaluated, operations requiring data where benign and malicious samples are clearly labelled. Such labels demand costly expert knowledge, resulting in a lack of real deployments, as well as on papers always relying on the same outdated data. The situation improved recently, as some efforts disclosed their labelled datasets. However, most past works used such datasets just as a 'yet another' testbed, overlooking the added potential provided by such availability. In contrast, we promote using such existing labelled data to cross-evaluate ML-NIDS. Such approach received only limited attention and, due to its complexity, requires a dedicated treatment. We hence propose the first cross-evaluation model. Our model highlights the broader range of realistic use-cases that can be assessed via cross-evaluations, allowing the discovery of still unknown qualities of state-of-the-art ML-NIDS. For instance, their detection surface can be extended--at no additional labelling cost. However, conducting such cross-evaluations is challenging. Hence, we propose the first framework, XeNIDS, for reliable cross-evaluations based on Network Flows. By using XeNIDS on six well-known datasets, we demonstrate the concealed potential, but also the risks, of cross-evaluations of ML-NIDS.
title: Банковский менеджмент
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебно-методическое пособие предназначено для закрепления базовых знаний и навыков, полученных студентами в процессе изучения дисциплины «Банковский менеджмент». Представленные в пособие задания охватывают такие сферы банковского менеджмента, как управление собственным капиталом и привлеченными ресурсами, управление банковскими активами и риск-менеджмент в банке. Кроме того, в пособие включены задания, ориентированные на формирование навыков принятия управленческих решений в области финансового оздоровления банка, реализуемого на разных уровнях управления банковской деятельностью. Для студентов экономических вузов, обучающихся по направлению подготовки 38.03.01 «Экономика», направленностям (профилям) программы «Финансы и кредит», «Деньги, банки и финансовые рынки».
Gym-saturation: an OpenAI Gym environment for saturation provers
Creators: name: Shminke, Boris
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: I.2.3

description: `gym-saturation` is an OpenAI Gym environment for reinforcement learning (RL) agents capable of proving theorems. Currently, only theorems written in a formal language of the Thousands of Problems for Theorem Provers (TPTP) library in clausal normal form (CNF) are supported. `gym-saturation` implements the 'given clause' algorithm (similar to the one used in Vampire and E Prover). Being written in Python, `gym-saturation` was inspired by PyRes. In contrast to the monolithic architecture of a typical Automated Theorem Prover (ATP), `gym-saturation` gives different agents opportunities to select clauses themselves and train from their experience. Combined with a particular agent, `gym-saturation` can work as an ATP. Even with a non trained agent based on heuristics, `gym-saturation` can find refutations for 688 (of 8257) CNF problems from TPTP v7.5.0.
description: 6 pages, 1 figure
Measuring Diffusion Coefficients in Low-Porosity Rocks by X-Ray Radiography
Creators: name: Maldonado Sanchez, Guadalupe
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2020
Subjects: diffusion
X-ray radiography
iodide
argillaceous limestone
granite
deep geological repository

description: Deep geological repositories (DGR) are considered an effective long-term solution for radioactive waste disposal. Sedimentary (argillaceous formations) and crystalline rocks are currently under investigation worldwide as potential host formations for DGR. Their low porosity (<1-2 %) and very low hydraulic conductivity result in diffusion-dominated solute transport. There is a need to investigate their diffusion properties in detail, the long-established diffusion methods do not allow an evaluation of the spatial relationship between tracers and the characteristics of the geological medium. The aim of this project was to measure diffusion coefficients in low-porosity rocks (< 2%) using X-ray radiography and iodide tracer. The method is a non-destructive technique based on the principle of X-ray attenuation; it provides temporal- and spatially-resolved information of a highly attenuating tracer diffusing in a sample. Samples from the Cobourg Formation, an Ordovician argillaceous limestone from the Michigan Basin, and from the Lac du Bonnet batholith, an Archean granitic pluton were used in this study. X-ray radiography data from the Cobourg Formation indicate tracer accumulation occurs on dark argillaceous layers in the rock characterized by clay minerals and organic matter. It is proposed that the I– tracer solution underwent photo-chemical oxidation, leading to the formation of I2, a highly reactive volatile iodine species and I3–, which readily reacted with humic substances contained in the clay- and organic rich zones in the limestone samples. In the case of the granitic samples, attempts at measuring diffusion coefficients encountered several challenges. The results indicate that tracer signal can be detected, however diffusion signal is masked by imaging errors and noise.
A Human Kinetic Dataset and a Hybrid Model for 3D Human Pose Estimation
Creators: name: Wang, Jianquan
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2020
Subjects: Human pose estimation
Kinetic dataset

description: Human pose estimation represents the skeleton of a person in color or depth images to improve a machine’s understanding of human movement. 3D human pose estimation uses a three-dimensional skeleton to represent the human body posture, which is more stereoscopic than a two-dimensional skeleton. Therefore, 3D human pose estimation can enable machines to play a role in physical education and health recovery, reducing labor costs and the risk of disease transmission. However, the existing datasets for 3D pose estimation do not involve fast motions that would cause optical blur for a monocular camera but would allow the subjects’ limbs to move in a more extensive range of angles. The existing models cannot guarantee both real-time performance and high accuracy, which are essential in physical education and health recovery applications. To improve real-time performance, researchers have tried to minimize the size of the model and have studied more efficient deployment methods. To improve accuracy, researchers have tried to use heat maps or point clouds to represent features, but this increases the difficulty of model deployment. To address the lack of datasets that include fast movements and easy-to-deploy models, we present a human kinetic dataset called the Kivi dataset and a hybrid model that combines the benefits of a heat map-based model and an end-to-end model for 3D human pose estimation. We describe the process of data collection and cleaning in this thesis. Our proposed Kivi dataset contains large-scale movements of humans. In the dataset, 18 joint points represent the human skeleton. We collected data from 12 people, and each person performed 38 sets of actions. Therefore, each frame of data has a corresponding person and action label. We design a preliminary model and propose an improved model to infer 3D human poses in real time. When validating our method on the Invariant Top-View (ITOP) dataset, we found that compared with the initial model, our improved model improves the mAP@10cm by 29%. When testing on the Kivi dataset, our improved model improves the mAP@10cm by 15.74% compared to the preliminary model. Our improved model can reach 65.89 frames per second (FPS) on the TensorRT platform.
title: Бухгалтерский учет
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Пособие разработано на основании программы дисциплины «Бухгалтерский учет», изучаемой студентами специальности 38.05.01 «Экономическая безопасность» специализации «Экономико-правовое обеспечение экономической безопасности» и включает методические указания по изучению тем и задания. Задания по каждой теме включают в себя перечень теоретических вопросов, самостоятельно подготавливаемых во внеаудиторное время, тематику рефератов, подборку задач, позволяющих получить достаточную практику в их решении. Учебно-методическое пособие может быть использовано для проведения практических занятий и самостоятельной подготовки студентов всех форм обучения.
Examination of Animal Gut Microbiota and Mercury Reveals the Importance of Diet in This Relationship
Creators: name: Guo, Galen
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2020
Subjects: microbiota
mercury
diet
wildlife
human
seabird
otter

description: Methylmercury (MeHg) is a global pollutant that can bioaccumulate and biomagnify along the aquatic food chain, causing adverse outcomes in humans and wildlife. Effective biomonitoring programs are needed to identify high exposure populations and to develop proper mitigation strategies. However, biomonitoring results showed high inter-individual variability in the relationship between MeHg exposure and body burden. Moreover, the gut microbiota can potentially play a role in MeHg transformations, and it is widely believed that the gut microbiota may be the underlying reason for the variability between and within a population. However, the microbially-mediated mechanisms of Hg transformation in the gastrointestinal environment is poorly understood. The overarching goal of my thesis is to investigate the role of gut microbiota in MeHg transformation in human, and the relationship between environmental pollutants and the gut microbiota of sentinel species such as river otters (Lontra canadensis) and seabirds (Arctic Tern [Sterna paradisaea], Black Guillemot [Cepphus grille], Common Eider [Somateria mollissima], Double-crested Cormorant [Phalacrocorax auratus], and Leach’s Storm Petrel [Oceanodroma leucorhoa]). My thesis consists of four research papers. In the first paper, I discovered that the gut microbiota`s ability to demethylate MeHg is significantly enhanced by altering the diet. In my second paper, I discovered a novel MeHg degradation pathway. In the third and fourth papers, I explored the effect of Hg and other environmental contaminant exposure on river otters and seabirds gut microbial community structures and found a relationship between prey selection and diet to the gut microbial structure. In conclusion, my thesis explores the relationship between diet, prey selection, environment contaminants and the humans and wildlife gut microbiota and contributes to understanding the gut microbiota’s role in biomonitoring of ecosystem and human health.
Efficiently computing excitations of complex systems: linear-scaling time-dependent embedded mean-field theory in implicit solvent
Creators: name: Prentice, Joseph C. A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Quantum embedding schemes have the potential to significantly reduce the computational cost of first principles calculations, whilst maintaining accuracy, particularly for calculations of electronic excitations in complex systems. In this work, I combine time-dependent embedded mean field theory (TD-EMFT) with linear-scaling density functional theory and implicit solvation models, extending previous work within the ONETEP code. This provides a way to perform multi-level calculations of electronic excitations on very large systems, where long-range environmental effects, both quantum and classical in nature, are important. I demonstrate the power of this method by performing simulations on a variety of systems, including a molecular dimer, a chromophore in solution, and a doped molecular crystal. This work paves the way for high accuracy calculations to be performed on large-scale systems that were previously beyond the reach of quantum embedding schemes.
The Aesthetics of Healing Representations of Sexual Trauma in Gita Hashemi’s Grounding: States of Gender
Creators: name: Howard, Lauren
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2020
Subjects: contemporary art
aesthetics

description: The following thesis explores the complexities of visual representation in relation to women’s experiences of sexual trauma, focusing on Gita Hashemi’s durational performance, Grounding: States of Gender (2017). Specifically, I look at the prolonged psychic pain that stems from the infinite negotiating of traumatic memory and the simultaneous struggle to have these experiences be seen, heard, and validated. With reference to theorizations of mourning (Butler, 2004; Fitzpatrick, 2013) and feminist approaches to psychotherapy (Herman, 1992; Magnet, 2017) my study of Grounding responds to a contemporary turn towards embodied and autobiographical feminist research methods. Using critical methodologies of visual analysis and narrative inquiry, I seek to explore the therapeutic value of the aesthetic or, what I refer to as an aesthetic of healing. Acknowledging how subjectivity functions as both a site of knowledge and as a record of lived experience, I ask how Hashemi’s forms of narrative embodiment work strategically, revealing traumatic realties while simultaneously orienting the viewer towards a position of reflexive engagement within broader sociocultural contexts.
title: Бухгалтерское дело
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебно-методическое пособие содержит множество ситуационных задач, отражающих хозяйственно-финансовую деятельность предприятий и opгaнизаций с учетом требований нормативных документов. Решение этих задач позволяет освоить процесс последовательного выполнения всех процедур работы бухгалтера: заполнение первичных документов, составление бухгалтерских проводок, ведение учетных peгистров. Образцы необходимых форм первичных документов и учетных регистров помещены в учебном пособии – это очень удобно для студентов, так как ускоряет процесс решения задач и повышает качество обучения. Учебно-методическое пособие подготовлено в соответствии с требованиями Федерального государственного образовательного стандарта (ФГОС) третьего поколения и предназначено для студентов, обучающихся по направлению подготовки 38.03.01 «Экономика» (профиль «Бухгалтерский учет, анализ и аудит»).
COVID-19 LOCKDOWN AND THE RATE OF CENTRAL PRECOCIOUS PUBERTY
Creators: name: Goggi, Giovanni
name: Moro, Mirella
name: Chilà, Alessandro
name: Fatti, Letizia Maria
name: Cangiano, Biagio
name: Federici, Silvia
name: Galazzi, Elena
name: Carbone, Erika
name: Soranna, Davide
name: Vezzoli, Valeria
name: Bonomi, Marco
name: Persani, Luca
Publisher: name: Zenodo
Year: 2023
Subjects: Precocious puberty
Covid-19
SARS-Cov-2
Lockdown
Thelarche

description: Supplementary Tables of Scientific Paper
title: Antenatal care use and outcomes for Aboriginal and Torres Strait Islander mothers and their babies 2016-2017
Creators: name: Australian Institute of Health and Welfare
Publisher: name: Australian Institute of Health and Welfare
Year: 2020
Subjects: subject: FOS: Biological sciences

description: This report explores the factors associated with antenatal care use among Aboriginal and Torres Strait Islander mothers, and how these may relate to baby outcomes—including how this varies spatially across the Indigenous Regions (IREGs) of Australia.
title: Задачи концептуального проектирования технического обеспечения АСУ ТП. В 2 частях. Ч.2
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2022

description: Во второй части учебного пособия описываются методы решения задач концептуального проектирования технического обеспечения АСУ ТП. Предлагается новая система критериев оценки элементов структуры и их свойств, основанная на процессном подходе. Приводится решение параметрических задач концептуального проектирования АСУ ТП при точечных и интервальных критериях. Учебное пособие предназначено для студентов, обучаемых по направлениям 27.03.04 «Управление в технических системах» и 27.03.02 «Управление качеством».
PAMARCMiP Contribution: An analytic model companion based on observations: The role of low-level jets in the advection of passive tracers in the high Arctic
Creators: name: Hellmuth, Olaf
name: Egerer, Ulrike
name: Siebert, Holger
name: Sørensen, Lise Lotte
Publisher: name: Zenodo
Year: 2023

description: The present report povides technical background information to the study of Egerer et al.
 (2023) on the role of a low-level jet (LLJ) for stirring the stable atmospheric surface layer
 in the Arctic. Based on micrometeorological tower measurements and tethered balloon-borne
 hot-wire anemometer measurements conducted during a 15 h observation period
 during the PAMARCMiP field experiment at the Villum Research Station (VRS, Station
 Nord) in North-East Greenland (March 28-30, 2018). Egerer et al. (2023) analyzed the transition of a stable atmospheric boundary
 layer (ABL) with a LLJ into a traditional stable ABL in the late-winter central Arctic.
Characterizing the molecular phenotypes underlying adaptation
Creators: name: Favate, John
Publisher: name: No Publisher Supplied
Year: 2023

description: Adaptation is the process by which organisms respond to and become more fit for the environment they live in. This process is driven by mutations to the genome that create phenotypic variation in a population upon which natural selection can act. While links between mutations and phenotypes are sometimes obvious, how these relate to fitness is often less clear. Mutations in protein coding regions can produce adaptive phenotypes, but so too can mutations that change the timing, amount, or location of expression of genes. However, the extent that mutations that affect these molecular phenotypes contribute to adaptation is unknown. In this work, we perform high-throughput, genome-wide studies of an experimental evolution system to study how changes to RNA abundance, translation of these RNAs, and their effects at the metabolic level contribute to adaptation in a system with defined fitness and genetic changes but few links between them. We show that despite varying sets of mutations, similar gene expression patterns emerge in the system, suggesting that the shaping of a particular expression profile can be a mode of adaptation to a novel environment. We further show that changes to gene expression profiles can exert their effects at the metabolic level. Overall, our strategy of relating mutations, expression changes, and their effects on the metabolome provides a more complete picture of how, at the molecular level, organisms adapt to their environment.
Finding Clusters of Similar-minded People on Twitter Regarding the Covid-19 Pandemic
Creators: name: Kappus, Philipp
name: Groß, Paul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Two clustering methods to determine users with similar opinions on the Covid-19 pandemic and the related public debate in Germany will be presented in this paper. We believe, they can help gaining an overview over similar-minded groups and could support the prevention of fake-news distribution. The first method uses a new approach to create a network based on retweet relationships between users and the most retweeted users, the so-called influencers. The second method extracts hashtags from users posts to create a "user feature vector" which is then clustered, using a consensus matrix based on previous work, to identify groups using the same language. With both approaches it was possible to identify clusters that seem to fit groups of different public opinions in Germany. However, we also found that clusters from one approach can not be associated with clusters from the other due to filtering steps in the two methods.
description: Published in Computer Science & Information Technology (CS & IT) Volume 11, Number 18, November 2021
In the crevices of global capitalism
Creators: name: Soderling, Stina
Publisher: name: No Publisher Supplied
Year: 2016

description: “In the Crevices of Global Capitalism: Rural Queer Community Formation” is an interdisciplinary study of a cluster of intentional communities in Tennessee, referred to by residents as the “Gayborhood.” It asks what factors influence rural community-building, and how queer rurality is linked to larger historical, economic, and political patterns. As an interdisciplinary project, the dissertation draws on multiple methods, primarily ethnographic fieldwork, archival research, oral history, and media analysis. The project studies the Gayborhood not just from an LGBT history view, but more crucially from the perspective of the history of the land on which it is located. It argues that the creation of a queer community in rural Tennessee is predicated on several waves of displacement of other groups from the land, through an ongoing process of settler colonialism and capitalist exploitation. The dissertation makes four main interventions in the field of Queer Studies: First, it provides a reading of the concept of “labor of belonging.” The Gayborhood is created through constant labor, which is for the most part unremunerated, and not always acknowledged. This labor creates a multifaceted belonging: people belonging to a community, land belonging to people, and people belonging to the land. Second, the dissertation presents a theory of materiality and excess. The Gayborhood is in several ways built on waste: the utilizing of literal trash in building, discarded food in cooking, and also being located in a metaphorical post-industrial wasteland. Third, the project places rural queer intentional communities within the landscape of settler colonialism. The dissertation shows how the claiming of land by queer groups is predicated on the naturalization of white US citizenship, and the erasure of histories and presents of Native presence on the land. Fourth, the dissertation uses the concept of fermentation as metaphor and method. It poses that the process of fermentation, whereby microorganisms interact with feedstock materials in a process that combines decomposition and creation, can be used to explain how locations such as the Gayborhood become possible, and how they change.
Explainable Machine Learning for Predicting Homicide Clearance in the United States
Creators: name: Campedelli, Gian Maria
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Econometrics (econ.EM)
subject: Applications (stat.AP)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: Purpose: To explore the potential of Explainable Machine Learning in the prediction and detection of drivers of cleared homicides at the national- and state-levels in the United States. Methods: First, nine algorithmic approaches are compared to assess the best performance in predicting cleared homicides country-wise, using data from the Murder Accountability Project. The most accurate algorithm among all (XGBoost) is then used for predicting clearance outcomes state-wise. Second, SHAP, a framework for Explainable Artificial Intelligence, is employed to capture the most important features in explaining clearance patterns both at the national and state levels. Results: At the national level, XGBoost demonstrates to achieve the best performance overall. Substantial predictive variability is detected state-wise. In terms of explainability, SHAP highlights the relevance of several features in consistently predicting investigation outcomes. These include homicide circumstances, weapons, victims' sex and race, as well as number of involved offenders and victims. Conclusions: Explainable Machine Learning demonstrates to be a helpful framework for predicting homicide clearance. SHAP outcomes suggest a more organic integration of the two theoretical perspectives emerged in the literature. Furthermore, jurisdictional heterogeneity highlights the importance of developing ad hoc state-level strategies to improve police performance in clearing homicides.
description: 41 pages, 18 figures
title: Имиджелогия и связи с общественностью в социокультурной и туристической сферах
Creators: name: ELS IPR BOOKS
Publisher: name: Саратовский государственный технический университет имени Ю.А. Гагарина, ЭБС АСВ
Year: 2021

description: Учебное пособие подготовлено в соответствии с разработанными на кафедре «Бизнес-технологии и логистика» рабочими программами по учебным курсам: «Имиджелогия и связи с общественностью в туристской индустрии» для магистрантов направления 43.04.02 «Туризм»; «PR в предпринимательской деятельности», «Имиджелогия в туризме» для бакалавров направления 43.03.02 «Туризм»; «Связи с общественностью в социально-культурном сервисе» для бакалавров направления 43.03.01 «Сервис». Авторами обобщен теоретический, методологический, практический материал, ориентированный на применение в социальных и культурных практиках туризма, гостеприимства, сервиса. Особое внимание уделяется формированию имиджа руководителя и сотрудников турфирмы, конструированию и поддержанию имиджа PR-объектов в туризме, PR-сопровождению регионального туризма. Рекомендованная литература, вопросы и задания по разделам, глоссарий, таблицы и рисунки позволяют в полном объеме освоить предложенный учебный материал как на теоретическом, так и на практическом уровнях. Учебное пособие предназначено для студентов бакалавриата, магистратуры, слушателей системы дополнительного образования, сотрудников предприятий и организаций социокультурной и туристической сфер, для всех интересующихся проблемами имиджелогии, связей с общественностью, туристики.
Salvage Logging Versus the Use of Burnt Wood as a Nurse Object to Promote Post-Fire Tree Seedling Establishment
Creators: name: Castro, Jorge
name: Allen, Graig D.
name: Molina-Morales, Mercedes
name: Marañón Jiménez, Sara
name: Sánchez-Miranda, Ángela
name: Zamora, Regino
Publisher: name: Zenodo
Year: 2011

description: Intense debate surrounds the effects of post-fire salvage logging (SL) versus nonintervention policies on forest regeneration, but scant support is available from exper- imental studies. We analyze the effect of three post-fire management treatments on the recruitment of a serotinous pine (Pinus pinaster) at a Mediterranean mountain. Treat- ments were applied 7 months after the fire and differ in the degree of intervention, ranging from “no intervention” (NI, all trees left standing) to “partial cut plus lopping” (PCL, felling most of the trees, cutting the main branches, and leaving all the biomass in situ without mastication), and “SL” (felling and piling the logs, and masticating the woody debris). Seedling survival after 3 years was the highest in PCL (47.3% versus 38.7% in SL). This was associated with the amelioration of microclimatic conditions under the scattered branches, which reduced radiation and soil tem- perature while increasing soil moisture. Seedling density after 2 years was approximately 5.5 times higher in PCL than in SL, as in SL a large fraction of seedlings was lost as a consequence of mechanized mastication. The NI treat- ment showed the lowest seedling survival (17.3%). Never- theless, seedling density was similar to SL. Seedling growth scarcely differed among treatments. Our results show that branches left onsite acted as nurse objects that improved key microclimatic conditions for seedling recruitment. This creates a facilitative interaction ideal for seedling establish- ment in moisture-deficient ecosystems, as it provides the benefit of a shading overstory but without underground competition.