cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Using the vert wearable device to monitor jumping loads in elite volleyball athletes
Creators: name: Damji, Faraz
Publisher: name: University of British Columbia
Year: 2020

description: Sport is evolving into a more competitive industry, leaving athletes prone to injuries. Monitoring athletes using wearable technology provides a way to potentially manage training and competition loads with the goal of reducing injuries. One such technology is the VERT, a commercially available discrete wearable device that measures vertical displacement from the center of mass. While several studies have examined the accuracy of the VERT’s measures of jump height and jump count, landing impact has not yet been investigated. The objective of this research study was to explore the potential utility of the VERT as a load monitoring tool in elite volleyball players. This was done by (1) examining the accuracy of the VERT landing impact values in university volleyball players and (2) retrospectively analyzing a VERT data set collected over the course of a university volleyball season, documenting whether established relationships were observed between various load characteristics and knee pain. We hypothesized that the VERT landing impact values would fall within 10% of those derived from a research-grade accelerometer, the Shimmer. In the data set, we expected to see agreement with the literature in that acute:chronic workload ratio (ACR), average jump height, jump count and session rating of perceived exertion (sRPE) were positively associated with knee pain. We also expected knee pain to increase over the course of the season and for leftsides/middle blockers to report the highest pain. Methodology for the validation study included recruiting 14 players, having each perform 10 jumps while wearing both devices. For the retrospective analysis, we used linear mixed effect modelling. The results of the validation showed that VERT landing impacts were variable (limits of agreement of -84.13% and 52.37%) and had a propensity to be lower (mean bias of -15.88%) when compared to the Shimmer. In the retrospective analysis, average jump height (p=0.041) and date (p=0.032) were negatively associated with knee pain (however the associations were of small magnitude). In conclusion, the validity of the VERT device’s landing impact values are generally poor, with respect to Shimmer. The relationships in the data set were partially consistent with what previous literature has shown.
Foundations for a theory of complex matroids
Creators: name: Anderson, Laura
name: Delucchi, Emanuele
Publisher: name: arXiv
Year: 2010
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: We explore a combinatorial theory of linear dependency in complex space, "complex matroids", with foundations analogous to those for oriented matroids. We give multiple equivalent axiomatizations of complex matroids, showing that this theory captures properties of linear dependency, orthogonality, and determinants over C in much the same way that oriented matroids capture the same properties over R. In addition, our complex matroids come with a canonical circle action analogous to the action of C* on a complex vector space. Our phirotopes (analogues of determinants) are the same as those studied previously by Below, Krummeck, and Richter-Gebert and by Delucchi. We further show that complex matroids cannot have vector axioms analogous to those for oriented matroids.
description: 34 pages, exposition improved following a reviewer's suggestions, 2 figures added
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Creators: name: Zhou, Hanhan
name: Lan, Tian
name: Aggarwal, Vaneet
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multiagent Systems (cs.MA)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Multi-agent reinforcement learning (MARL) has witnessed significant progress with the development of value function factorization methods. It allows optimizing a joint action-value function through the maximization of factorized per-agent utilities due to monotonicity. In this paper, we show that in partially observable MARL problems, an agent's ordering over its own actions could impose concurrent constraints (across different states) on the representable function class, causing significant estimation error during training. We tackle this limitation and propose PAC, a new framework leveraging Assistive information generated from Counterfactual Predictions of optimal joint action selection, which enable explicit assistance to value function factorization through a novel counterfactual loss. A variational inference-based information encoding method is developed to collect and encode the counterfactual predictions from an estimated baseline. To enable decentralized execution, we also derive factorized per-agent policies inspired by a maximum-entropy MARL framework. We evaluate the proposed PAC on multi-agent predator-prey and a set of StarCraft II micromanagement tasks. Empirical results demonstrate improved results of PAC over state-of-the-art value-based and policy-based multi-agent reinforcement learning algorithms on all benchmarks.
description: accepted at NeurIPS 2022
Representation theory and homological stability
Creators: name: Church, Thomas
name: Farb, Benson
Publisher: name: arXiv
Year: 2010
Subjects: subject: Representation Theory (math.RT)
subject: Algebraic Topology (math.AT)
subject: Group Theory (math.GR)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics

description: We introduce the idea of *representation stability* (and several variations) for a sequence of representations V_n of groups G_n. A central application of the new viewpoint we introduce here is the importation of representation theory into the study of homological stability. This makes it possible to extend classical theorems of homological stability to a much broader variety of examples. Representation stability also provides a framework in which to find and to predict patterns, from classical representation theory (Littlewood--Richardson and Murnaghan rules, stability of Schur functors), to cohomology of groups (pure braid, Torelli and congruence groups), to Lie algebras and their homology, to the (equivariant) cohomology of flag and Schubert varieties, to combinatorics (the (n+1)^(n-1) conjecture). The majority of this paper is devoted to exposing this phenomenon through examples. In doing this we obtain applications, theorems and conjectures. Beyond the discovery of new phenomena, the viewpoint of representation stability can be useful in solving problems outside the theory. In addition to the applications given in this paper, it is applied in [CEF] to counting problems in number theory and finite group theory. Representation stability is also used in [C] to give broad generalizations and new proofs of classical homological stability theorems for configuration spaces on oriented manifolds.
description: 91 pages. v2: minor revisions throughout. v3: final version, to appear in Advances in Mathematics
An Optical Catalog of Galaxy Clusters Obtained from an Adaptive Matched Filter Finder Applied to SDSS DR6
Creators: name: Szabo, Thad
name: Pierpaoli, Elena
name: Dong, Feng
name: Pipino, Antonio
name: Gunn, James E.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We present a new cluster catalog extracted from the Sloan Digital Sky Survey Data Release 6 (SDSS DR6) using an adaptive matched filter (AMF) cluster finder. We identify 69,173 galaxy clusters in the redshift range 0.045 $\le z
description: 59 pages, 28 figures; accepted for publication in The Astrophysical Journal
Additional file 5 of FLA14 is required for pollen development and preventing premature pollen germination under high humidity in Arabidopsis
Creators: name: Miao, Yingjing
name: Cao, Jiashu
name: Huang, Li
name: Yu, Youjian
name: Lin, Sue
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 5:
Energetic cost of feedback control
Creators: name: Ehrich, Jannik
name: Still, Susanne
name: Sivak, David A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Successful feedback control of small systems allows for the rectification of thermal fluctuations, converting them into useful energy; however, control itself requires work. This paper emphasizes the fact that the controller is a physical entity interacting with the feedback-controlled system. For a specifically designed class of controllers, reciprocal interactions become nonreciprocal due to large timescale separation, which considerably simplifies the situation. We introduce a minimally dissipative controller model, illustrating the findings using a simple example. We find that the work required to run the controller must at least compensate for the decrease in entropy due to the control operation.
description: 12 pages, 4 figures
Galaxy Disks
Creators: name: van der Kruit, P. C.
name: Freeman, K. C.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The formation and evolution of galactic disks is particularly important for understanding how galaxies form and evolve, and the cause of the variety in which they appear to us. Ongoing large surveys, made possible by new instrumentation at wavelengths from the ultraviolet (GALEX), via optical (HST and large groundbased telescopes) and infrared (Spitzer) to the radio are providing much new information about disk galaxies over a wide range of redshift. Although progress has been made, the dynamics and structure of stellar disks, including their truncations, are still not well understood. We do now have plausible estimates of disk mass-to-light ratios, and estimates of Toomre's $Q$ parameter show that they are just locally stable. Disks are mostly very flat and sometimes very thin, and have a range in surface brightness from canonical disks with a central surface brightness of about 21.5 $B$-mag arcsec$^{-2}$ down to very low surface brightnesses. It appears that galaxy disks are not maximal, except possibly in the largest systems. Their HI layers display warps whenever HI can be detected beyond the stellar disk, with low-level star formation going on out to large radii. Stellar disks display abundance gradients which flatten at larger radii and sometimes even reverse. The existence of a well-defined baryonic Tully-Fisher relation hints at an approximately uniform baryonic to dark matter ratio. Thick disks are common in disk galaxies and their existence appears unrelated to the presence of a bulge component; they are old, but their formation is not yet understood. Disk formation was already advanced at redshifts of $\sim 2$, but at that epoch disks were not yet quiescent and in full rotational equilibrium. Downsizing is now well-established. The formation and history of star formation in S0s is still not fully understood.
description: This review has been submitted for Annual Reviews of Astronomy & Astrophysics, vol. 49 (2011); the final printed version will have fewer figures and a somewhat shortened text. A pdf-version of this preprint with high-resolution figures is available from http://www.astro.rug.nl/~vdkruit/jea3/homepage/disks-ph.pdf. (table of contents added; 71 pages, 24 figures, 529 references)
Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation
Creators: name: Zhang, Jikai
name: Mazurowski, Maciej M.
name: Allen, Brian C.
name: Wildman-Torbiner, Benjamin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active area of research. However, ML tools require large, well-labelled datasets, the curation of which is time-consuming and labor-intensive. The purpose of our study was to develop and test a deep-learning-based tool to facilitate and automate the data annotation process for thyroid nodules; we named our tool Multistep Automated Data Labelling Procedure (MADLaP). MADLaP was designed to take multiple inputs included pathology reports, ultrasound images, and radiology reports. Using multiple step-wise modules including rule-based natural language processing, deep-learning-based imaging segmentation, and optical character recognition, MADLaP automatically identified images of a specific thyroid nodule and correctly assigned a pathology label. The model was developed using a training set of 378 patients across our health system and tested on a separate set of 93 patients. Ground truths for both sets were selected by an experienced radiologist. Performance metrics including yield (how many labeled images the model produced) and accuracy (percentage correct) were measured using the test set. MADLaP achieved a yield of 63% and an accuracy of 83%. The yield progressively increased as the input data moved through each module, while accuracy peaked part way through. Error analysis showed that inputs from certain examination sites had lower accuracy (40%) than the other sites (90%, 100%). MADLaP successfully created curated datasets of labeled ultrasound images of thyroid nodules. While accurate, the relatively suboptimal yield of MADLaP exposed some challenges when trying to automatically label radiology images from heterogeneous sources. The complex task of image curation and annotation could be automated, allowing for enrichment of larger datasets for use in machine learning development.
Smoothing proximal gradient method for general structured sparse regression
Creators: name: Chen, Xi
name: Lin, Qihang
name: Kim, Seyoung
name: Carbonell, Jaime G.
name: Xing, Eric P.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: Applications (stat.AP)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We study the problem of estimating high-dimensional regression models regularized by a structured sparsity-inducing penalty that encodes prior structural information on either the input or output variables. We consider two widely adopted types of penalties of this kind as motivating examples: (1) the general overlapping-group-lasso penalty, generalized from the group-lasso penalty; and (2) the graph-guided-fused-lasso penalty, generalized from the fused-lasso penalty. For both types of penalties, due to their nonseparability and nonsmoothness, developing an efficient optimization method remains a challenging problem. In this paper we propose a general optimization approach, the smoothing proximal gradient (SPG) method, which can solve structured sparse regression problems with any smooth convex loss under a wide spectrum of structured sparsity-inducing penalties. Our approach combines a smoothing technique with an effective proximal gradient method. It achieves a convergence rate significantly faster than the standard first-order methods, subgradient methods, and is much more scalable than the most widely used interior-point methods. The efficiency and scalability of our method are demonstrated on both simulation experiments and real genetic data sets.
description: Published in at http://dx.doi.org/10.1214/11-AOAS514 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Symmetry energy of dense matter in holographic QCD
Creators: name: Kim, Youngman
name: Seo, Yunseok
name: Shin, Ik Jae
name: Sin, Sang-Jin
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We study the nuclear symmetry energy of dense matter using holographic QCD. To this end, we consider two flavor branes with equal quark masses in a D4/D6/D6 model. We find that at all densities the symmetry energy monotonically increases. At small densities, it exhibits a power law behavior with the density, $E_{\rm sym} \sim ρ^{1/2}$.
description: 9 pages, 3 figures
Diffuse emission from black hole remnants
Creators: name: Kazemian, Sina
name: Pascual, Mateo
name: Rovelli, Carlo
name: Vidotto, Francesca
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We point out that conservation of information implies that remnants produced at the end of black hole evaporation should radiate in the low-frequency spectrum. We model this emission and derive properties of the diffuse radiation emitted by an otherwise dark population of such objects. We show that for early universe black holes the frequency and energy density of this radiation, which are in principle measurable, suffice to estimate the remnant density.
description: 8 pages, 4 figures
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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Development of Russian Federations system of independent audit in fire safety
Creators: name: ÐÐ°ÑÑÑÑÐ½Ð¾Ð², ÐÐ»ÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2018
Subjects: ÐÐ¾Ð¶Ð°ÑÐ½Ð°Ñ Ð¾Ñ ÑÐ°Ð½Ð°
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description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: Ð¿Ð¾ÑÑÐ´Ð¾Ðº Ð¾ÑÑÑÐµÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð¶Ð°ÑÐ½Ð¾Ð³Ð¾ Ð½Ð°Ð´Ð·Ð¾ÑÐ° Ð² Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¸ ÑÐ°ÑÑÐµÑÐ¾Ð² Ð¿Ð¾Ð¶Ð°ÑÐ½Ð¾Ð³Ð¾ ÑÐ¸ÑÐºÐ°. ÐÐ°ÑÑÐ½Ð°Ñ Ð·Ð°Ð´Ð°ÑÐ° ÑÐ¾ÑÑÐ¾Ð¸Ñ Ð² ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ð¸ ÑÐºÑÐ¿ÑÐµÑÑ-Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð¿Ð¾ Ð¾ÑÐµÐ½ÐºÐµ Ð´Ð¾ÑÑÐ¾Ð²ÐµÑÐ½Ð¾ÑÑÐ¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐ°ÑÑÐµÑÐ° Ð¿Ð¾Ð¶Ð°ÑÐ½Ð¾Ð³Ð¾ ÑÐ¸ÑÐºÐ°.
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description: Object of the research: fire-protective intumescent coatings.
Purpose of the research: studying the influence of nano- and microadditives of different nature on fire-protective properties of intumescent coatings.
In this work the mechanism of implementation of the state fire supervision and necessity of development an express technique is opened further according to reliability of calculations of fire risk. The simulated packages of calculations for certain dangerous substances, united in a full-fledged express technique which will allow to estimate reliability of calculations of fire risk at direct stay on subject to protection are result of this work.
Additional file 1 of FLA14 is required for pollen development and preventing premature pollen germination under high humidity in Arabidopsis
Creators: name: Miao, Yingjing
name: Cao, Jiashu
name: Huang, Li
name: Yu, Youjian
name: Lin, Sue
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1:
Solvable rational extensions of the isotonic oscillator
Creators: name: Grandati, Yves
Publisher: name: arXiv
Year: 2011
Subjects: subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Combining recent results on rational solutions of the Riccati-Schrödinger equations for shape invariant potentials to the finite difference Bäcklund algorithm and specific symmetries of the isotonic potential, we show that it is possible to generate the three infinite sets (L1, L2 and L3 families) of regular rational solvable extensions of this potential in a very direct and transparent way.
Movimento, attenzione e clima di classe: l’influenza delle transizioni in movimento all’interno dell’aula scolastica
Creators: name: Lacalamita, Shadya
Publisher: name: Scuola Universitaria della Svizzera Italiana (SUPSI)
Year: 2019
Subjects: condotta motoria
pausa in movimento
attenzione
clima di classe

description: Se provaste a chiedere a un docente quante volte capita di dover richiamare l’attenzione di un allievo, la risposta non potrebbe che essere “spesso”. Considerando però che anche per noi adulti mantenere a lungo l’attenzione è difficile, ben si capiscono le difficoltà riscontrate dai bambini nello svolgimento delle lezioni. La ricerca si pone l’obiettivo di indagare se l’introduzione di pause di transizione in movimento, inserite durante il normale svolgimento delle lezioni, influisca positivamente sull’attenzione degli allievi e sul clima di classe. Si cerca inoltre di capire come gli allievi percepiscono le pause in movimento. Nel corso della fase sperimentale, all’interno di unità didattiche di 45 minuti, sono state effettuate attività di transizione in movimento dopo 20 minuti dall’inizio della lezione. La raccolta dei dati è avvenuta attraverso l’utilizzo di una griglia di osservazione, nella quale sono stati registrati i comportamenti disattenti degli alunni al termine della pausa in movimento, e un questionario volto a sondare le percezioni degli allievi in merito all’attività in movimento. Dall’analisi dei dati emerge che l’introduzione delle pause di transizione in movimento sono positive per il livello di attenzione degli allievi; tuttavia i dati raccolti non permettono di capire se migliorano il clima di classe. È stato inoltre appurato che la maggior parte degli allievi manifesta la sua necessità di movimento durante lo svolgimento delle normali ore scolastiche. Relatori: Flavio Rossi, Simone Storni
Towards Complex Document Understanding By Discrete Reasoning
Creators: name: Zhu, Fengbin
name: Lei, Wenqiang
name: Feng, Fuli
name: Wang, Chao
name: Zhang, Haozhou
name: Chua, Tat-Seng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Document Visual Question Answering (VQA) aims to understand visually-rich documents to answer questions in natural language, which is an emerging research topic for both Natural Language Processing and Computer Vision. In this work, we introduce a new Document VQA dataset, named TAT-DQA, which consists of 3,067 document pages comprising semi-structured table(s) and unstructured text as well as 16,558 question-answer pairs by extending the TAT-QA dataset. These documents are sampled from real-world financial reports and contain lots of numbers, which means discrete reasoning capability is demanded to answer questions on this dataset. Based on TAT-DQA, we further develop a novel model named MHST that takes into account the information in multi-modalities, including text, layout and visual image, to intelligently address different types of questions with corresponding strategies, i.e., extraction or reasoning. Extensive experiments show that the MHST model significantly outperforms the baseline methods, demonstrating its effectiveness. However, the performance still lags far behind that of expert humans. We expect that our new TAT-DQA dataset would facilitate the research on deep understanding of visually-rich documents combining vision and language, especially for scenarios that require discrete reasoning. Also, we hope the proposed model would inspire researchers to design more advanced Document VQA models in future. Our dataset will be publicly available for non-commercial use at https://nextplusplus.github.io/TAT-DQA/.
description: ACM MM 2022
Message-Passing Estimation from Quantized Samples
Creators: name: Kamilov, Ulugbek
name: Goyal, Vivek K.
name: Rangan, Sundeep
Publisher: name: arXiv
Year: 2011
Subjects: subject: Information Theory (cs.IT)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Estimation of a vector from quantized linear measurements is a common problem for which simple linear techniques are suboptimal -- sometimes greatly so. This paper develops generalized approximate message passing (GAMP) algorithms for minimum mean-squared error estimation of a random vector from quantized linear measurements, notably allowing the linear expansion to be overcomplete or undercomplete and the scalar quantization to be regular or non-regular. GAMP is a recently-developed class of algorithms that uses Gaussian approximations in belief propagation and allows arbitrary separable input and output channels. Scalar quantization of measurements is incorporated into the output channel formalism, leading to the first tractable and effective method for high-dimensional estimation problems involving non-regular scalar quantization. Non-regular quantization is empirically demonstrated to greatly improve rate-distortion performance in some problems with oversampling or with undersampling combined with a sparsity-inducing prior. Under the assumption of a Gaussian measurement matrix with i.i.d. entries, the asymptotic error performance of GAMP can be accurately predicted and tracked through the state evolution formalism. We additionally use state evolution to design MSE-optimal scalar quantizers for GAMP signal reconstruction and empirically demonstrate the superior error performance of the resulting quantizers.
description: 12 pages, 8 figures
Barriers and opportunities for wildfire risk reduction treatments in the Cariboo region of British Columbia
Creators: name: Melton, Judah Chaim
Publisher: name: University of British Columbia
Year: 2020

description: The state of wildfire risk and occurrence in Canada poses challenges for forests in British Columbia. These challenges are especially exigent for dry-belt forests in the province. In the Interior, Douglas-fir stands have long been neglected, with licensees across the region focused on salvage logging of lodgepole pine stands affected by mountain pine beetle. With the end of salvage logging in sight, Interior Douglas-fir stands will become an increasingly important source of timber supply in the area. But these stands have stagnated. They are over-dense and at risk for catastrophic losses from wildfire or another insect or disease outbreak. This exploratory research focuses on identifying policies or economic factors that are the most constraining on forest managers in the region. To do so, qualitative case study research methods involving semi-structured interviews are used. These interviews were administered to forest professionals in decision-making positions for various actors in the region. Understanding the views of these decision-makers is one of the fundamental pieces of making sense of the on-the-ground effects of forest or environmental policies or regulations. Then, using a framework of barriers to climate change adaptation developed by Ekstrom, Moser, and Torn (2011), potential barriers to solutions are discovered. Finally, the potential adaptation of a US tool called “stewardship contracting” to address issues, constraints, or barriers is analyzed.
Citrus leprosis: a unique multietiologic disease
Creators: name: Ramos-Gonzalez, Pedro Luis
name: Chabi-Jesus, Camila
name: Arena, Gabriella D.
name: Tassi, Aline Danielle
name: Kitajima, Elliot Watanabe
name: Freitas-Astúa, Juliana
Publisher: name: figshare
Year: 2021
Subjects: subject: 60704 Plant Pathology
subject: FOS: Biological sciences
subject: 60506 Virology

description: Citrus leprosis (CL) is a viral disease currently affecting citrus orchards in Latin America. It causes a non-systemic infection that produces necrotic and chlorotic spots in leaves, stems and fruits, reducing citrus crop yield and leading to the death of younger trees. Viruses causing CL are assigned to two genera: Cilevirus [bipartite ss(+) RNA] and Dichorhavirus [bipartite ss(-) RNA]. Prevalent CL in orchards from Mexico to Argentina is the cytoplasmic type of the disease (CL-C) produced by the cilevirus citrus leprosis virus C (CiLV-C). CiLV-C population is genetically subdivided into two clades, which have a contrasted geographic distribution. While viruses from one clade seem to be confined to commercial areas in the State of São Paulo, Brazil, those from the other occur all over the continent. In Colombia, CL-C is also caused by another cilevirus, CiLV-C2, whose genome shares only 55% nucleotide identity with CiLV-C. Nuclear types of leprosis (CL-N), caused by dichorhaviruses, seem to have severely affected citrus orchards in Florida, USA, a century ago, and have been recently characterized in Brazil, Mexico and Colombia. While in the two latter countries citrus strains of orchid fleck virus (OFV-citrus) occur in commercial orchards, in Brazil, citrus leprosis virus N (CiLV-N) and citrus chlorotic spot virus (CiCSV) are the causal agents for CL-N so far, which are restricted to small non-commercial areas. Both, CiLV-N and CiCSV, display a relatively distant phylogenetic relationship with OFV (< 65% nucleotide sequence identity). All viruses causing CL are persistently transmitted by false spider mites of the genus Brevipalpus, but with distinguishing features for cilevirus and dichorhavirus. A large spectrum of citrus commercial species and hybrids are prone to CL infection, and the apparent symptoms, at least in sweet oranges infected by CiLV-C, seem to be the outcome of a hypersensitive-like response. Studies based on molecular epidemiology and omics approaches are providing the necessary insights to generate more effective and safer control strategies of CL.
Cycling provision separated from motor traffic: a systematic review exploring whether stated preferences vary by gender and age
Creators: name: Aldred, Rachel
name: Elliott, Bridget
name: Woodcock, James
name: Goodman, Anna
Publisher: name: Apollo - University of Cambridge Repository
Year: 2016

description: In this paper we represent a systematic review of stated preference studies examining the extent to which cycle infrastructure preferences vary by gender and by age. A search of online, English-language academic and policy literature was followed by a three-stage screening process to identify relevant studies. We found fifty-four studies that investigated whether preferences for cycle infrastructure varied by gender and/or by age. Forty-four of these studies considered the extent of separation from motor traffic. The remainder of the studies covered diverse topics, including preferred winter maintenance methods and attitudes to cycle track lighting. We found that women reported stronger preferences than men for greater separation from motor traffic. There was weaker evidence of stronger preferences among older people. Differences in preferences were quantitative rather than qualitative; that is, preferences for separated infrastructure were stronger in some groups than in others, but no group preferred integration with motor traffic. Thus in low-cycling countries seeking to increase cycling, this evidence suggests focusing on the stronger preferences of under-represented groups as a necessary element of universal design for cycling.
description: The work presented was funded by the Department for Transport (contract no. RM5019SO7766: “Provision of Research Programme into Cycling: Propensity to Cycle”), with project management by Brook Lyndhurst. JW’s contribution was supported by an MRC Population Health Scientist Fellowship. JW’s contribution was also supported by the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence funded by the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research (NIHR), and the Wellcome Trust. AG’s contribution was supported by an NIHR post-doctoral fellowship.
description: This is the final version of the article. It first appeared from Taylor & Francis via http://dx.doi.org/10.1080/01441647.2016.1200156
Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications
Creators: name: Orenes-Vera, Marcelo
name: Tureci, Esin
name: Wentzlaff, David
name: Martonosi, Margaret
Publisher: name: arXiv
Year: 2022
Subjects: subject: Hardware Architecture (cs.AR)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Applications with low data reuse and frequent irregular memory accesses, such as graph or sparse linear algebra workloads, fail to scale well due to memory bottlenecks and poor core utilization. While prior work with prefetching, decoupling, or pipelining can mitigate memory latency and improve core utilization, memory bottlenecks persist due to limited off-chip bandwidth. Approaches doing processing in-memory (PIM) with Hybrid Memory Cube (HMC) overcome bandwidth limitations but fail to achieve high core utilization due to poor task scheduling and synchronization overheads. Moreover, the high memory-per-core ratio available with HMC limits strong scaling. We introduce Dalorex, a hardware-software co-design that achieves high parallelism and energy efficiency, demonstrating strong scaling with >16,000 cores when processing graph and sparse linear algebra workloads. Over the prior work in PIM, both using 256 cores, Dalorex improves performance and energy consumption by two orders of magnitude through (1) a tile-based distributed-memory architecture where each processing tile holds an equal amount of data, and all memory operations are local; (2) a task-based parallel programming model where tasks are executed by the processing unit that is co-located with the target data; (3) a network design optimized for irregular traffic, where all communication is one-way, and messages do not contain routing metadata; (4) novel traffic-aware task scheduling hardware that maintains high core utilization; and (5) a data placement strategy that improves work balance. This work proposes architectural and software innovations to provide the greatest scalability to date for running graph algorithms while still being programmable for other domains.
description: In Proceedings of the 29th IEEE Symposium on High-Performance Computer Architecture (HPCA-29)
Analytical investigation of the phase transition between holographic insulator and superconductor in Gauss-Bonnet gravity
Creators: name: Pan, Qiyuan
name: Jing, Jiliang
name: Wang, Bin
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We employ the variational method for the Sturm-Liouville eigenvalue problem to analytically study the phase transition between the holographic insulator and superconductor in the Gauss-Bonnet gravity. By investigating the s-wave and p-wave holographic insulator/superconductor models, we find that this analytic method is more effective to obtain the analytic results on the condensation and the critical phenomena in the AdS soliton background in Gauss-Bonnet gravity. Our analytic result can be used to back up the numerical computations in the AdS soliton with Gauss-Bonnet correction.
description: 18 pages, 1 figure, 3 tables
Inkludera alla studenter även om någon deltar online
Creators: name: Olsson, Ulf
Publisher: name: Stockholm University Design Patterns
Year: 2021
Subjects: subject: 130103 Higher Education
subject: FOS: Educational sciences

description: Det här är ett designmönster som skapats i ett utvecklingsprojekt på Centrum för universitetslärarutbildning vid Stockholms universitet. Projektet syftar till att utveckla pedagogiska praktiker för universitetslärare som arbetar med lärplattformar för att planera och organisera sin undervisning. Designmönster är en etablerad metod för att kartlägga bl.a. pedagogiska problem och erbjuda förslag till lösningar. Det här designmönstret är ett förslag hur en lärare kan arbeta med kursdesign, framförallt i den lärplattform som Stockholms universitet, kallad "Athena".

This is a design pattern created in conjunction with a development project at the Center for the Advancement of University Teaching at Stockholm University. The project aims at developing educational practice for university teachers who work with learning managementplatforms enabling them to plan and organize their teaching. Design patterns are an established method of identifying and mapping educational problems in order to offer solutions. This design pattern is a proposal how a teacher can work with course design, especially in Stockholm University learning platform "Athena".
title: ÐÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³ Ð² Ð Ð¾ÑÑÐ¸Ð¹ÑÐºÐ¾Ð¹ Ð¤ÐµÐ´ÐµÑÐ°ÑÐ¸Ð¸ Ð² ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
Creators: name: ÐÐ²Ð°Ð½Ð¾Ð²Ð°, ÐÐ¸Ð°Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2018
Subjects: ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ Ð´ÐµÐ½ÑÐ³Ð¸
Ð±Ð¸ÑÐºÐ¾Ð¸Ð½
ÐºÑÐ¸Ð¿ÑÐ¾Ð²Ð°Ð»ÑÑÐ°
Ð¿Ð»Ð°ÑÐµÐ¶Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ ÐºÐ¾ÑÐµÐ»ÑÐºÐ¸

description: Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ - ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÑÑ ÑÑÑÐ½Ð¾ÑÑÑ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³, Ð²ÑÑÐ²Ð¸ÑÑ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¸Ñ Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ñ Ð² ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ Ð¸ Ð²Ð½ÐµÑÑÐ¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³ Ð² Ð±Ð°Ð½ÐºÐ¾Ð²ÑÐºÐ¾Ð¹ ÑÑÐµÑÐµ.
ÐÐ»Ñ Ð´Ð¾ÑÑÐ¸Ð¶ÐµÐ½Ð¸Ñ ÑÐµÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð° Ð¸ÑÑÐ¾ÑÐ¸Ñ Ð²Ð¾Ð·Ð½Ð¸ÐºÐ½Ð¾Ð²ÐµÐ½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³, Ð¸Ð·ÑÑÐµÐ½Ð° ÑÑÑÐ½Ð¾ÑÑÑ, Ð²Ð¸Ð´Ñ Ð¸ Ð¿ÑÐ¸Ð½ÑÐ¸Ð¿Ñ ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³. ÐÐ·ÑÑÐµÐ½Ñ Ð²Ð¾Ð¿ÑÐ¾ÑÑ Ð½Ð¾ÑÐ¼Ð°ÑÐ¸Ð²Ð½Ð¾ Ð¿ÑÐ°Ð²Ð¾Ð²Ð¾Ð³Ð¾ ÑÐµÐ³ÑÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÑ Ð´ÐµÐ½ÐµÐ³ Ð² Ð Ð¤, ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¾ÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¸Ñ Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ñ, Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ñ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ Ð¸Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ.
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ÐÐ·ÑÑÐµÐ½Ð½ÑÐµ Ð²Ð¾Ð¿ÑÐ¾ÑÑ Ð¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð¶Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑ Ð² Ð±Ð°Ð½ÐºÐ¾Ð²ÑÐºÐ¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ³Ð¾ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ ÐºÑÐ¸Ð¿ÑÐ¾Ð²Ð°Ð»ÑÑÑ Ð² Ð¾Ð±ÑÐ°ÑÐµÐ½Ð¸Ðµ.
description: The purpose of the work is to consider the essence of electronic money, to identify the features of their circulation in modern conditions and make proposals to improve the circulation of electronic money in the banking sector.
To achieve this goal, the history of electronic money, studied the nature, types and principles of operation of electronic money. The issues of legal regulation of electronic money in the Russian Federation are studied, the peculiarities of their circulation, problems and prospects of their development are considered.
The issues of introduction of a new electronic currency in the banking system on the example of cryptocurrency Bitcoin are studied.
The studied questions and suggestions can be used in the banking system for further introduction of cryptocurrency into circulation.
Sustainable Development Goals as unifying narratives in large UK firms' Twitter discussions
Creators: name: Patuelli, Alessia
name: Saracco, Fabio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: To achieve sustainable development worldwide, the United Nations set 17 Sustainable Development Goals (SDGs) for humanity to reach by 2030. Society is involved in the challenge, with firms playing a crucial role. Thus, a key question is to what extent firms engage with the SDGs. Efforts to map firms' contributions have mainly focused on analysing companies' reports based on limited samples and non-real-time data. We present a novel interdisciplinary approach based on analysing big data from an online social network (Twitter) with complex network methods from statistical physics. By doing so, we provide a comprehensive and nearly real-time picture of firms' engagement with SDGs. Results show that: 1) SDGs themes tie conversations among major UK firms together; 2) the social dimension is predominant; 3) the attention to different SDGs themes varies depending on the community and sector firms belong to; 4) stakeholder engagement is higher on posts related to global challenges compared to general ones; 5) large UK companies and stakeholders generally behave differently from Italian ones. This paper provides theoretical contributions and practical implications relevant to firms, policymakers and management education. Most importantly, it provides a novel tool and a set of keywords to monitor the influence of the private sector on the implementation of the 2030 Agenda.
description: 22 pages, 6 figures, 8 tables
Defect engineering in oxide heterostructures by enhanced oxygen surface exchange
Creators: name: Huijben, M.
name: Koster, G.
name: Kruize, M. K.
name: Wenderich, S.
name: Verbeeck, J.
name: Bals, S.
name: Slooten, E.
name: Shi, B.
name: Molegraaf, H. J. A.
name: Kleibeuker, J. E.
name: van Aert, S.
name: Goedkoop, J. B.
name: Brinkman, A.
name: Blank, D. H. A.
name: Golden, M. S.
name: van Tendeloo, G.
name: Hilgenkamp, H.
name: Rijnders, G.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The synthesis of materials with well-controlled composition and structure improves our understanding of their intrinsic electrical transport properties. Recent developments in atomically controlled growth have been shown to be crucial in enabling the study of new physical phenomena in epitaxial oxide heterostructures. Nevertheless, these phenomena can be influenced by the presence of defects that act as extrinsic sources of both doping and impurity scattering. Control over the nature and density of such defects is therefore necessary, are we to fully understand the intrinsic materials properties and exploit them in future device technologies. Here, we show that incorporation of a strontium copper oxide nano-layer strongly reduces the impurity scattering at conducting interfaces in oxide LaAlO3-SrTiO3(001) heterostructures, opening the door to high carrier mobility materials. We propose that this remote cuprate layer facilitates enhanced suppression of oxygen defects by reducing the kinetic barrier for oxygen exchange in the hetero-interfacial film system. This design concept of controlled defect engineering can be of significant importance in applications in which enhanced oxygen surface exchange plays a crucial role.
description: Advanced Functional Materials (2013)
Multi-scale sequence correlations increase proteome structural disorder and promiscuity
Creators: name: Afek, Ariel
name: Shakhnovich, Eugene I.
name: Lukatsky, David B.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Biomolecules (q-bio.BM)
subject: Genomics (q-bio.GN)
subject: Molecular Networks (q-bio.MN)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: Numerous experiments demonstrate a high level of promiscuity and structural disorder in organismal proteomes. Here we ask the question what makes a protein promiscuous, i.e., prone to non-specific interactions, and structurally disordered. We predict that multi-scale correlations of amino acid positions within protein sequences statistically enhance the propensity for promiscuous intra- and inter-protein binding. We show that sequence correlations between amino acids of the same type are statistically enhanced in structurally disordered proteins and in hubs of organismal proteomes. We also show that structurally disordered proteins possess a significantly higher degree of sequence order than structurally ordered proteins. We develop an analytical theory for this effect and predict the robustness of our conclusions with respect to the amino acid composition and the form of the microscopic potential between the interacting sequences. Our findings have implications for understanding molecular mechanisms of protein aggregation diseases induced by the extension of sequence repeats.