cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models
Creators: name: Ming-Yen Cheng
name: Honda, Toshio
name: Jin-Ting Zhang
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Varying coefficient models have numerous applications in a wide scope of scientific areas. While enjoying nice interpretability, they also allow for flexibility in modeling dynamic impacts of the covariates. But, in the new era of big data, it is challenging to select the relevant variables when the dimensionality is very large. Recently, several works are focused on this important problem based on sparsity assumptions; they are subject to some limitations, however. We introduce an appealing forward selection procedure. It selects important variables sequentially according to a reduction in sum of squares criterion and it employs a Bayesian information criterion (BIC)-based stopping rule. Clearly, it is simple to implement and fast to compute, and possesses many other desirable properties from theoretical and numerical viewpoints. The BIC is a special case of the extended BIC (EBIC) when an extra tuning parameter in the latter vanishes. We establish rigorous screening consistency results when either BIC or EBIC is used as the stopping criterion. The theoretical results depend on some conditions on the eigenvalues related to the design matrices, which can be relaxed in some situations. Results of an extensive simulation study and a real data example are also presented to show the efficacy and usefulness of our procedure. Supplementary materials for this article are available online.
PLANTEAMIENTOS EN DIDÁCTICA DE LA LENGUA ESPAÑOLA MEDIANTE SISTEMAS DE APRENDIZAJE DIGITAL
Creators: name: Martos, Fermín
name: Morales, Jerónimo
Publisher: name: Zenodo
Year: 2020
Subjects: Nuevas Tecnologías
Educación Primaria

description: Usos de nuevas tecnologías en Educación Primaria
Water Management In Leicester
Creators: name: Nivarthi, Aditya
name: Franciosa, Anna
name: Chow, Yao
Publisher: name: QUBES Educational Resources
Year: 2025

description: All towns and municipalities face the task of ensuring that public water systems have safe and adequate supplies of drinking water to protect the health and well-being of its consumers. Working with the Massachusetts Department of Environmental Protection and the Town of Leicester, our project goal was to identify the challenges Leicester's three water districts face and
provide an analysis for available improvements in order to meet the water quality standards and water demand in Leicester. Our recommendations provide short and long term goals working towards improving communication and efficiency of the districts' operations.
Target of rapamycin activation predicts lifespan in fruit flies
Creators: name: Ashwin Sriram
name: Naudí, Alba
name: Ayala, Victoria
name: Mariona Jové
name: Pamplona, Reinald
name: Sanz, Alberto
name: Scialo, Filippo
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Earth and Environmental Sciences
subject: Computational Biology
subject: Biological Sciences
subject: Physiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Medicine
subject: Biochemistry

description: Aging and age-related diseases are one of the most important health issues that the world will confront during the 21st century. Only by understanding the proximal causes will we be able to find treatments to reduce or delay the onset of degenerative diseases associated with aging. Currently, the prevalent paradigm in the field is the accumulation of damage. However, a new theory that proposes an alternative explanation is gaining momentum. The hyperfunction theory proposes that aging is not a consequence of a wear and tear process, but a result of the continuation of developmental programs during adulthood. Here we use Drosophila melanogaster, where evidence supporting both paradigms has been reported, to identify which parameters that have been previously related with lifespan best predict the rate of aging in wild type flies cultured at different temperatures. We find that mitochondrial function and mitochondrial reactive oxygen species (mtROS) generation correlates with metabolic rate, but not with the rate of aging. Importantly, we find that activation of nutrient sensing pathways (i.e. insulin-PI3K/Target of rapamycin (Tor) pathway) correlates with lifespan, but not with metabolic rate. Our results, dissociate metabolic rate and lifespan in wild type flies and instead link nutrient sensing signalling with longevity as predicted by the hyperfunction theory.
A new temperature-insensitive allele of the Arabidopsis AXR6/CUL1 locus derived from a missense mutation in the C-terminal RBX1 binding region
Creators: name: Mori, Yukiko
name: Hayashi, Makoto
name: Nishimura, Mikio
name: Yamamoto, Kotaro T
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: Developmental Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: 60506 Virology
subject: Computational Biology

description: We isolated a new recessive allele at the AUXIN RESISTANT6/CULLIN1 (AXR6/CUL1) locus, axr6–101, from an EMS-mutagenized population of Arabidopsis thaliana, the Landsberg erecta ecotype. axr6–101 is auxin resistant and semi-dwarf similar to the other recessive axr6 mutants. The axr6–101 phenotype is caused by the E716K substitution of the CUL1 protein, which is likely to affect its ability to bind to the C-terminal RING domain of RING-box 1 (RBX1). The previously reported allele of AXR6, cul1–7, is caused by a substitution at T510 that binds to the N-terminal β-strand of RBX1. Although cul1–7 shows temperature-sensitive phenotype, the axr6–101 phenotype is largely unaffected by temperature. axr6–101 may provide an important genetic resource for study of the structure−function relationship of the CUL1 protein.
Composite end point analyses of non-vitamin K antagonist oral anticoagulants compared with warfarin in patients with atrial fibrillation
Creators: name: Larsen, Torben Bjerregaard
name: Lip, Gregory YH
name: Nielsen, Peter Brønnum
name: Madzak, Aida
name: Lane, Deirdre A
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Hematology
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Chemistry
subject: Medicine
subject: Engineering

description: Objective: Non-vitamin K antagonist oral anticoagulants (NOACs) have been proposed as alternatives to vitamin K antagonists (VKAs). The aim of this study is to examine the efficacy and safety of NOACs compared with warfarin with composite end points in patients with atrial fibrillation. Methods: This semi-systematic review performed a study of Phase III randomized controlled trials comparing NOACs with vitamin K antagonists (VKAs) in patient with atrial fibrillation using composite end points (combination of various clinical events). The use of composite end points allowed for combining efficacy and safety outcomes, thereby comparing the differences between NOAC and warfarin therapy from a clinical perspective. Results: Treatment with NOAC compared with warfarin was associated with a significant reduction in the sum of stroke or non-CNS, systemic embolism and major bleeding (odds ratio 0.87; 95% CI: 0.82–0.91). Conclusion: Generally, NOACs were associated with a more favorable efficacy and safety profile compared with warfarin with regard to composite end points.
title: 03_0111
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Luciobarbus capito
Creators: name: Sayyadzadeh, Golnaz
name: Esmaeili, Hamid Reza
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Cypriniformes
Cyprinidae
Luciobarbus
Luciobarbus capito

description: 136. Luciobarbus capito (Güldenstädt, 1773)
Common name. Bulatamai barbel
Taxonomy. Original description: Cyprinus capito Güldenstädt, 1773: 519, 520 [Kura River, Transcaucasia; no types known].
Revisions. Berg (1949: 698) as Barbus capito; Karaman (1971: 211) as Barbus capito capito.
Illustrations. Berg (1949: 699, fig. 455) as Barbus capito.
Distribution in Iran. —Distribution in River Basin: Caspian Sea.—Distribution in Ecoregions: 434-Kura-South Caspian Drainages, 450-Turan Plain.
Status in Iran. [Native].—Sas mahi-e sar bozorg.—Listed in previous checklists from Iran by Esmaeili et al. (2017 a, 2018); Jouladeh-Roudbar et al. (2020) and Eagderi et al. (2022).— Iran material: ZM-CBSU.
Conservation. —IUCN: VU.
description: Published as part of Sayyadzadeh, Golnaz & Esmaeili, Hamid Reza, 2024, Freshwater lamprey and fishes of Iran: Reappraisal and updated checklist with a note on Eagderi et al. (2022), pp. 1-99 in Zootaxa 5402 (1) on pages 46-47, DOI: 10.11646/zootaxa.5402.1.1, http://zenodo.org/record/10524097
Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Creators: name: Petersson, Kristoffer
name: Nilsson, Per
name: Engström, Per
name: Knöös, Tommy
name: Ceberg, Crister
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences
subject: Computational Biology

description: Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Luciobarbus brachycephalus
Creators: name: Sayyadzadeh, Golnaz
name: Esmaeili, Hamid Reza
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Cypriniformes
Cyprinidae
Luciobarbus
Luciobarbus brachycephalus

description: 135. Luciobarbus brachycephalus (Kessler, 1872)
Common name. Aral barbel
Taxonomy. Original description: Barbus brachycephalus Kessler, 1872: 52 [8], pl. 7, figs. 9-11 [Syr-Darya River, central Asia; syntypes: NMW 53971-73 (1, 2, 1); ZIN 5759 (1, not found in 2000), 5878 (1, not found in 1996 or 2000)].
Revisions. Berg (1949: 702) as Barbus brachycephalus.
Illustrations. Berg (1949: 703-704, figs. 457-459) as Barbus brachycephalus.
Distribution in Iran. —Distribution in River Basin: Caspian Sea.—Distribution in Ecoregions: 434-Kura-South Caspian Drainages, 450-Turan Plain.
Status in Iran. [Native].—Sas mahi-e sar kochak.—Listed in previous checklists from Iran by Esmaeili et al. (2017 a, 2018); Jouladeh-Roudbar et al. (2020) and Eagderi et al. (2022).—Iran material: ZM-CBSU.
Conservation. —IUCN: VU.
description: Published as part of Sayyadzadeh, Golnaz & Esmaeili, Hamid Reza, 2024, Freshwater lamprey and fishes of Iran: Reappraisal and updated checklist with a note on Eagderi et al. (2022), pp. 1-99 in Zootaxa 5402 (1) on page 46, DOI: 10.11646/zootaxa.5402.1.1, http://zenodo.org/record/10524097
Two new proanthocyanidin trimers isolated from Cistus incanus L. demonstrate potent anti-inflammatory activity and selectivity to cyclooxygenase isoenzymes inhibition
Creators: name: K. A. Mansoor
name: K. Z. Matalka
name: F. S. Qa’dan
name: R. Awad
name: M. Schmidt
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 60506 Virology

description: Two new proanthocyanidin trimers have been isolated from Cistus incanus herb; gallocatechin-(4α→6)-gallocatechin-(4α→8)-gallocatechin (compound 1) and epigallocatechin-3-O-gallate-(4ß→8)-epigallocatechin-3-O-gallate-(4ß→8)-gallocatechin (compound 2). The structures were determined on the basis of 1D- and 2D-NMR (HSQC, HMBC) of their peracetylated derivatives, MALDI-TOF-MS and by acid-catalysed degradation with phloroglucinol. A more abundant proanthocyanidin oligomer was also isolated, purified and its chemical constitution studied by 13C-NMR and phloroglucinol degradation. The mean molecular weight of the polymer was estimated to be about 7 to 8 flavan-3-ol-units with a ratio of procyanidin : prodelphinidin units at 1:5, some of which are derivatised by gallic acid. Water extract and higher oligomeric proanthocyanidin fractions of C. incanus significantly inhibited TPA-induced oedema when applied topically at doses of 0.5 and 1 mg/ear in mice. Furthermore, the extracts and the pure compounds inhibited COX-1 and COX-2 activities. In addition, compound 2 exhibited an IC50 of 4.5 μM against COX-2 indicating its high selectivity towards COX-2.
Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Creators: name: Petersson, Kristoffer
name: Nilsson, Per
name: Engström, Per
name: Knöös, Tommy
name: Ceberg, Crister
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Plant Biology
subject: FOS: Biological sciences
subject: Computational Biology

description: Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching
Creators: name: Canchumuni, Smith W. A.
name: Castro, Jose D. B.
name: Potratz, Júlia
name: Emerick, Alexandre A.
name: Pacheco, Marco Aurelio C.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Ensemble smoothers are among the most successful and efficient techniques currently available for history matching. However, because these methods rely on Gaussian assumptions, their performance is severely degraded when the prior geology is described in terms of complex facies distributions. Inspired by the impressive results obtained by deep generative networks in areas such as image and video generation, we started an investigation focused on the use of autoencoders networks to construct a continuous parameterization for facies models. In our previous publication, we combined a convolutional variational autoencoder (VAE) with the ensemble smoother with multiple data assimilation (ES-MDA) for history matching production data in models generated with multiple-point geostatistics. Despite the good results reported in our previous publication, a major limitation of the designed parameterization is the fact that it does not allow applying distance-based localization during the ensemble smoother update, which limits its application in large-scale problems.
 The present work is a continuation of this research project focusing in two aspects: firstly, we benchmark seven different formulations, including VAE, generative adversarial network (GAN), Wasserstein GAN, variational auto-encoding GAN, principal component analysis (PCA) with cycle GAN, PCA with transfer style network and VAE with style loss. These formulations are tested in a synthetic history matching problem with channelized facies. Secondly, we propose two strategies to allow the use of distance-based localization with the deep learning parameterizations.
description: 46 pages, 26 figures
Forward variable selection for sparse ultra-high dimensional varying coefficient models
Creators: name: Ming-Yen Cheng
name: Honda, Toshio
name: Jin-Ting Zhang
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Mathematics
subject: FOS: Mathematics
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology

description: Varying coefficient models have numerous applications in a wide scope of scientific areas. While enjoying nice interpretability, they also allow for flexibility in modeling dynamic impacts of the covariates. But, in the new era of big data, it is challenging to select the relevant variables when the dimensionality is very large. Recently several works are focused on this important problem based on sparsity assumptions; they are subject to some limitations, however. We introduce an appealing forward selection procedure. It selects important variables sequentially according to a reduction in sum of squares criterion and it employs a BIC-based stopping rule. Clearly it is simple to implement and fast to compute, and possesses many other desirable properties from theoretical and numerical viewpoints. The BIC is a special case of the EBIC when an extra tuning parameter in the latter vanishes. We establish rigorous screening consistency results when either BIC or EBIC is used as the stopping criterion. The theoretical results depend on some conditions on the eigenvalues related to the design matrices, which can be relaxed in some situations. Results of an extensive simulation study and a real data example are also presented to show the efficacy and usefulness of our procedure.
Non-invasive assessment of arterial stiffness in patients with rheumatoid arthritis: A systematic review and meta-analysis of literature studies
Creators: name: Ambrosino, Pasquale
name: Tasso, Marco
name: Lupoli, Roberta
name: Minno, Alessandro Di
name: Baldassarre, Damiano
name: Tremoli, Elena
name: Minno, Matteo Nicola Dario Di
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biological Sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Cell Biology
subject: Medicine

description: Introduction. Patients with rheumatoid arthritis (RA) have an increased cardiovascular (CV) morbidity and mortality. Pulse-wave velocity (PWV) and augmentation index (AIx) are non-invasive methods to assess arterial stiffness, a marker of CV risk. We performed a meta-analysis evaluating the impact of RA on aortic-PWV, brachial-PWV, brachial–ankle (ba-) PWV, AIx, and AIx normalized to a 75 beats/minute heart rate (AIx@75).Materials and Methods. Studies evaluating the relationship between RA and aortic-PWV, brachial-PWV, ba-PWV, AIx, and AIx@75 were systematically searched. A total of 25 studies (1,472 RA patients, 1,583 controls) were included.Results. Compared to controls, RA patients showed a significantly higher aortic-PWV (mean difference 1.32 m/s; 95% CI 0.77, 1.88; P < 0.00001), ba-PWV (MD 198.42 cm/s; 95% CI 45.79, 342.76; P = 0.01), AIx (MD 11.50%; 95% CI 5.15, 17.86; P = 0.0004), and AIx@75 (MD 6.99%; 95% CI 4.92, 9.06; P < 0.00001), with a trend toward a higher brachial-PWV (MD 0.34 m/s; 95% CI –0.03, 0.70; P = 0.07). When analyzing studies on early RA, the difference in aortic-PWV among RA patients and controls was even higher (MD 2.30 m/s; 95% CI 1.15, 3.45; P < 0.0001).Conclusion. Meta-regression showed that a more severe inflammatory status impacted on aortic-PWV, AIx, and AIx@75. Arterial stiffness, a recognized marker of CV risk, is increased in RA patients. This alteration is associated with the severity of the inflammatory status and is present even in early-stage disease.
Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Creators: name: Petersson, Kristoffer
name: Nilsson, Per
name: Engström, Per
name: Knöös, Tommy
name: Ceberg, Crister
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Computational Biology
subject: Plant Biology
subject: FOS: Biological sciences
subject: Cancer
subject: Chemistry
subject: Pharmacology
subject: Cell Biology
subject: Medicine
subject: Physics

description: Evaluation of dual-arc VMAT radiotherapy treatment plans automatically generated via dose mimicking
Classification With Unstructured Predictors and an Application to Sentiment Analysis
Creators: name: Junhui Wang
name: Xiaotong Shen
name: Yiwen Sun
name: Qu, Annie
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy
subject: Plant Biology

description: Unstructured data refer to information that lacks certain structures and cannot be organized in a predefined fashion. Unstructured data often involve words, texts, graphs, objects, or multimedia types of files that are difficult to process and analyze with traditional computational tools and statistical methods. This work explores ordinal classification for unstructured predictors with ordered class categories, where imprecise information concerning strengths of association between predictors is available for predicting class labels. However, imprecise information here is expressed in terms of a directed graph, with each node representing a predictor and a directed edge containing pairwise strengths of association between two nodes. One of the targeted applications for unstructured data arises from sentiment analysis, which identifies and extracts the relevant content or opinion of a document concerning a specific event of interest. We integrate the imprecise predictor relations into linear relational constraints over classification function coefficients, where large margin ordinal classifiers are introduced, subject to many quadratically linear constraints. The proposed classifiers are then applied in sentiment analysis using binary word predictors. Computationally, we implement ordinal support vector machines and ψ-learning through a scalable quadratic programming package based on sparse word representations. Theoretically, we show that using relationships among unstructured predictors improves prediction accuracy of classification significantly. We illustrate an application for sentiment analysis using consumer text reviews and movie review data. Supplementary materials for this article are available online.
Predictive grade of ultrasound synovitis for diagnosing rheumatoid arthritis in clinical practice and the possible difference between patients with and without seropositivity
Creators: name: Minowa, Kentaro
name: Ogasawara, Michihiro
name: Murayama, Go
name: Gorai, Misa
name: Yamada, Yusuke
name: Nemoto, Takuya
name: Matsuki, Yuko
name: Nagachika Sugisaki
name: Ando, Seiichiro
name: Kon, Takayuki
name: Kurisu Tada
name: Matsushita, Masakazu
name: Yamaji, Ken
name: Tamura, Naoto
name: Takasaki, Yoshinari
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology
subject: Computational Biology

description: Objective. To determine the degree of contribution and the contributing factors of ultrasound in the diagnosis of rheumatoid arthritis (RA) in daily clinical practice and the predictive differences depending on seropositivity. Methods. We included 122 patients who presented with the main complaint of finger and/or wrist joint pain but for whom no definite diagnosis was reached or treatment strategy was provided. Ultrasound was performed on at least 22 joints (both wrist joints, proximal interphalangeal joint, and metacarpophalangeal joints), and patients were followed for ≥6 months. Factors contributing to RA diagnosis were determined and compared between seropositive and seronegative RA patients. Results. RA was diagnosed in 52 of 122 patients, in whom the American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) classification criteria (odds ratio [OR] = 4.74, P = 0.01) and gray scale (GS) grade of 3 (OR = 3.64, P = 0.04) for ≥ 1 joint were the contributing factors. In seropositive RA, the ACR/EULAR criteria (OR = 15.53, P < 0.001) and power Doppler (PD) ≥ 2 for ≥ 1 joint (OR = 10.48, P = 0.0048) were the contributing factors. In seronegative RA, PD ≥ 1 for ≥ 1 joint contributed the most (OR = 20.00, P = 0.0044), but the ACR/EULAR criteria did not contribute to RA diagnosis (P = 0.57). Conclusion. Ultrasound findings contributed to RA diagnosis in clinical practice. The contributing factors are different in the presence or absence of seropositivity, and ultrasound complementation was particularly useful in seronegative RA patients.
A Distributed Multi-Vehicle Coordination Algorithm for Navigation in Tight Environments
Creators: name: Firoozi, Roya
name: Ferranti, Laura
name: Zhang, Xiaojing
name: Nejadnik, Sebastian
name: Borrelli, Francesco
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This work presents a distributed method for multi-vehicle coordination based on nonlinear model predictive control (NMPC) and dual decomposition. Our approach allows the vehicles to coordinate in tight spaces (e.g., busy highway lanes or parking lots) by using a polytopic description of each vehicle's shape and formulating collision avoidance as a dual optimization problem. Our method accommodates heterogeneous teams of vehicles (i.e., vehicles with different polytopic shapes and dynamic models can be part of the same team). Our method allows the vehicles to share their intentions in a distributed fashion without relying on a central coordinator and efficiently provides collision-free trajectories for the vehicles. In addition, our method decouples the individual-vehicles' trajectory optimization from their collision-avoidance objectives enhancing the scalability of the method and allowing one to exploit parallel hardware architectures. All these features are particularly important for vehicular applications, where the systems operate at high-frequency rates in dynamic environments. To validate our method, we apply it in a vehicular application, that is, the autonomous lane-merging of a team of connected vehicles to form a platoon. We compare our design with the centralized NMPC design to show the computational benefits of the proposed distributed algorithm.
Limits of almost homogeneous spaces and their fundamental groups
Creators: name: Zamora, Sergio
Publisher: name: arXiv
Year: 2020
Subjects: subject: Metric Geometry (math.MG)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 51F99 (Primary) 20F65, 14M17, 57S20 (Secondary)

description: We say that a sequence of proper geodesic spaces $X_n$ consists of \textit{almost homogeneous spaces} if there is a sequence of discrete groups of isometries $G_n \leq \text{Iso}(X_n)$ with $\text{diam} (X_n/G_n)\to 0$ as $n \to \infty$.
 We show that if a sequence $(X_n,p_n)$ of pointed almost homogeneous spaces converges in the pointed Gromov--Hausdorff sense to a space $(X,p)$, then $X$ is a nilpotent locally compact group equipped with an invariant geodesic metric.
 Under the above hypotheses, we show that if $X$ is semi-locally-simply-connected, then it is a nilpotent Lie group equipped with an invariant sub-Finsler metric, and for $n$ large enough, $π_1(X) $ is a subgroup of a quotient of $ π_1(X_n) $.
Heat engines with single-shot deterministic work extraction
Creators: name: Cerisola, Federico
name: Sapienza, Facundo
name: Roncaglia, Augusto
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We introduce heat engines working in the nano-regime that allow to extract a finite amount of deterministic work. We show that the efficiency of these cycles is strictly smaller than Carnot's, and we associate this difference with a fundamental irreversibility that is present in single-shot transformations. When fluctuations in the extracted work are allowed there is a trade-off between their size and the efficiency. As the size of fluctuations increases so does the efficiency, and optimal efficiency is recovered for unbounded fluctuations, while certain amount of deterministic work is drawn from the cycle. Finally, we show that if the working medium is composed by many particles, by creating an amount of correlations between the subsystems that scales logarithmically with their number, Carnot's efficiency can also be approached in the asymptotic limit along with deterministic work extraction.
Predictive grade of ultrasound synovitis for diagnosing rheumatoid arthritis in clinical practice and the possible difference between patients with and without seropositivity
Creators: name: Minowa, Kentaro
name: Ogasawara, Michihiro
name: Murayama, Go
name: Gorai, Misa
name: Yamada, Yusuke
name: Nemoto, Takuya
name: Matsuki, Yuko
name: Nagachika Sugisaki
name: Ando, Seiichiro
name: Kon, Takayuki
name: Kurisu Tada
name: Matsushita, Masakazu
name: Yamaji, Ken
name: Tamura, Naoto
name: Takasaki, Yoshinari
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology
subject: Computational Biology

description: Objective. To determine the degree of contribution and the contributing factors of ultrasound in the diagnosis of rheumatoid arthritis (RA) in daily clinical practice and the predictive differences depending on seropositivity. Methods. We included 122 patients who presented with the main complaint of finger and/or wrist joint pain but for whom no definite diagnosis was reached or treatment strategy was provided. Ultrasound was performed on at least 22 joints (both wrist joints, proximal interphalangeal joint, and metacarpophalangeal joints), and patients were followed for ≥6 months. Factors contributing to RA diagnosis were determined and compared between seropositive and seronegative RA patients. Results. RA was diagnosed in 52 of 122 patients, in whom the American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) classification criteria (odds ratio [OR] = 4.74, P = 0.01) and gray scale (GS) grade of 3 (OR = 3.64, P = 0.04) for ≥ 1 joint were the contributing factors. In seropositive RA, the ACR/EULAR criteria (OR = 15.53, P < 0.001) and power Doppler (PD) ≥ 2 for ≥ 1 joint (OR = 10.48, P = 0.0048) were the contributing factors. In seronegative RA, PD ≥ 1 for ≥ 1 joint contributed the most (OR = 20.00, P = 0.0044), but the ACR/EULAR criteria did not contribute to RA diagnosis (P = 0.57). Conclusion. Ultrasound findings contributed to RA diagnosis in clinical practice. The contributing factors are different in the presence or absence of seropositivity, and ultrasound complementation was particularly useful in seronegative RA patients.
title: Dermal Absorption of Sesquiterpene Lactones from Arnica Tincture
Creators: name: Jürgens, Franziska M.
name: Herrmann, Fabian C.
name: Robledo, Sara M.
name: Schmidt, Thomas J.
Publisher: name: University of Muenster, Institutional Repository MIAMI
Year: 2022
Subjects: subject: 615 Pharmacology and therapeutics

description: Arnica tincture is a traditional herbal medicine used to treat blunt injuries, e.g., bruises and squeezes. In addition, a potential new use in the treatment of cutaneous leishmaniasis is currently under investigation. Therefore, detailed information about the dermal absorption of the tincture and especially its bioactive constituents, sesquiterpene lactones (STLs) of the helenalin- and 11α,13-dihydrohelenalin type, is mandatory. Consequently, this article reports on dermal absorption studies of Arnica tincture using diffusion cells and porcine skin as well as two human skin samples with different permeability. The amounts of STLs on the skin surfaces, in skin extracts and in the receptor fluids were quantified by ultra-high-performance liquid chromatography with high-resolution mass spectrometry (UHPLC-HRMS). It was found that Arnica STLs permeated into the receptor fluid already 4 h after the application, but the amount was rather low. Within 48 h, a maximum of 8.4%, 14.6% and 36.4% of STLs permeated through porcine skin, human skin A (trans-epidermal water loss (TEWL) = 11.518 g·m−2·h−1) and the more permeable human skin B (TEWL = 17.271 g·m−2·h−1), respectively. The majority of STLs was absorbed (penetrated into the skin; 97.6%, 97.8% and 99.3%) after 48 h but a huge portion could not be extracted from skin and is expected to be irreversibly bound to skin proteins. To better visualize the analytes in different skin layers, a fluorescence-labeled STL, helenalin 3,4-dimethoxycinnamate, was synthesized. Fluorescence microscopic images depict an accumulation of the fluorescent derivative in the epidermis. For the treatment of local, cutaneous complaints, an enrichment of the bioactive substances in the skin may be considered beneficial.
description: Finanziert durch den Open-Access-Publikationsfonds der Westfälischen Wilhelms-Universität Münster (WWU Münster).
description: This research was funded by the Wilhelm Doerenkamp-Foundation, grant specification: NATVANTAGE RESEARCH GRANT 2018.
Structure and automorphisms of pure virtual twin groups
Creators: name: Naik, Tushar Kanta
name: Nanda, Neha
name: Singh, Mahender
Publisher: name: arXiv
Year: 2020
Subjects: subject: Group Theory (math.GR)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57K12, 57K20, 20E36

description: Study of stable isotopy classes of a finite collection of immersed circles without triple or higher intersections on closed oriented surfaces is considered as a planar analogue of virtual knot theory, a far reaching generalisation of classical knot theory. Recent works have established Alexander and Markov theorems in the planar setting. In the classical case, the role of groups is played by twin groups, a class of right-angled Coxeter groups. A new class of groups called virtual twin groups, that extends twin groups in a natural way, plays the role of groups in the virtual case. The virtual twin group $VT_n$ contains the pure virtual twin group $PVT_n$, a planar analogue of the pure Artin braid group. In this paper, we prove that the pure virtual twin group $PVT_n$ is an irreducible right-angled Artin group with trivial center and give it's precise presentation. We show that $PVT_n$ has a decomposition as an iterated semi-direct product of infinite rank free groups. We give a complete description of the automorphism group of $PVT_n$ and establish splitting of natural exact sequences of automorphism groups. As applications, we show that $VT_n$ is residually finite and $PVT_n$ has the $R_\infty$-property.
description: 25 pages, 6 figures, title changed, minor corrections
Luciobarbus caspius
Creators: name: Sayyadzadeh, Golnaz
name: Esmaeili, Hamid Reza
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Chordata
Cypriniformes
Cyprinidae
Luciobarbus
Luciobarbus caspius

description: 137. Luciobarbus caspius (Berg, 1914)
Common name. Caspian barbel
Taxonomy. Original description: Barbus brachycephalus caspius Berg, 1914: 612, Fig. 119, Caspian Sea basin. Syntypes: ZIN 2982 (8), 3895 (10), 9108 (1, misidentified), 9109 (2), 9117-18 (11, 1), 9124 (8), 10619 (apparently lost).
Revisions. None.
Illustrations. Berg (1914: 612, fig. 119) as Barbus brachycephalus caspius.
Distribution in Iran. —Distribution in River Basin: Caspian Sea.—Distribution in Ecoregions: 434-Kura-South Caspian Drainages.
Status in Iran. [Native].—Sas mahi-e khazar.—Listed in previous checklists from Iran by Esmaeili et al. (2017 a, 2018).—ran material: None.
Conservation. —IUCN: NE.
description: Published as part of Sayyadzadeh, Golnaz & Esmaeili, Hamid Reza, 2024, Freshwater lamprey and fishes of Iran: Reappraisal and updated checklist with a note on Eagderi et al. (2022), pp. 1-99 in Zootaxa 5402 (1) on page 47, DOI: 10.11646/zootaxa.5402.1.1, http://zenodo.org/record/10524097
Classification with unstructured predictors and an application to sentiment analysis
Creators: name: Junhui Wang
name: Xiaotong Shen
name: Yiwen Sun
name: Qu, Annie
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: Science Policy
subject: Mathematics
subject: FOS: Mathematics
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Earth and Environmental Sciences

description: Unstructured data refers to information that lacks certain structures and cannot be organized in a predefined fashion. Unstructured data often involves words, texts, graphs, objects or multimedia types of files that are difficult to process and analyze with traditional computational tools and statistical methods. This work explores ordinal classification for unstructured predictors with ordered class categories, where imprecise information concerning strengths of association between predictors is available for predicting class labels. However, imprecise information here is expressed in terms of a directed graph, with each node representing a predictor and a directed edge containing pairwise strengths of association between two nodes. One of the targeted applications for unstructured data arises from sentiment analysis, which identifies and extracts the relevant content or opinion of a document concerning a specific event of interest. We integrate the imprecise predictor relations into linear relational constraints over classification function coefficients, where large margin ordinal classifiers are introduced, subject to many quadratically linear constraints. The proposed classifiers are then applied in sentiment analysis using binary word predictors. Computationally, we implement ordinal support vector machines and ψ-learning through a scalable quadratic programming package based on sparse word representations. Theoretically, we show that utilizing relationships among unstructured predictors improves prediction accuracy of classification significantly. We illustrate an application for sentiment analysis using consumer text reviews and movie review data. Supplementary materials for this article are available online.
Primordial Non-Gaussianity from the 21 cm Power Spectrum during the Epoch of Reionization
Creators: name: Joudaki, Shahab
name: Doré, Olivier
name: Ferramacho, Luis
name: Kaplinghat, Manoj
name: Santos, Mario G.
Publisher: name: Swinburne
Year: 2024

description: Primordial non-Gaussianity is a crucial test of inflationary cosmology. We consider the impact of non-Gaussianity on the ionization power spectrum from 21 cm emission at the epoch of reionization. We focus on the power spectrum on large scales at redshifts of 7 to 8 and explore the expected constraint on the local non-Gaussianity parameter
Effect of interactions in the interference pattern of Bose Einstein condensates
Creators: name: Burchianti, A.
name: D'Errico, C.
name: Marconi, L.
name: Minardi, F.
name: Fort, C.
name: Modugno, M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Understanding the effect of interactions in the phase evolution of expanding atomic Bose Einstein condensates is fundamental to describe the basic phenomenon of matter wave interference. Many theoretical and experimental works tackled this problem, always with the implicit assumption that the mutual interaction between two expanding condensates rigidly modifies the phase evolution through an effective force. In this paper, we present a combined experimental and theoretical investigation of the interference profile of expanding $^{87}$Rb condensates, with a specific focus on the effect of interactions. We come to the different conclusion that the mutual interaction produces local modifications of the condensate phase only in the region where the wavepackets overlap.
description: 10 pages, 14 figures; published version
New mammalian specimens from the Lower Cretaceous Kitadani Formation, Tetori Group, Fukui, Japan
Creators: name: Miyata, Kazunori
name: Azuma, Yoichi
name: Masateru Shibata
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Cancer
subject: Biological Sciences
subject: Sociology
subject: FOS: Sociology
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences
subject: Evolutionary Biology
subject: Molecular Biology
subject: Cell Biology

description: New specimens of two non-therian (non-tribosphenidan) mammals are described from the Lower Cretaceous Kitadani Formation in the upper part of the Tetori Group, Katsuyama, Fukui Prefecture, Japan. Despite their poor preservation, these specimens represent undescribed species from Japan, suggesting additional mammalian diversity in the Tetori Group. Previously, four mammal taxa had been formally described from this rock unit: a spalacotheriid ‘symmetrodont’, two eobaatarid multituberculates and a eutriconodont mammal. One of the new specimens is a damaged left p4 of a ‘plagiaulacidan’ grade multituberculate assignable to the family Eobaataridae. The Kitadani eobaatarid is a large species distinguished from the two previously described eobaatarids, Tedoribaatar and Hakusanobaatar, which are known from the stratigraphically lower Kuwajima Formation of the Tetori Group, Hakusan, Ishikawa Prefecture, Japan. It also differs from Sinobaatar, Heishanobaatar and Liaobaatar described from the Early Cretaceous of China. Another specimen, a partial right dentary with a faint Meckelian groove, is assigned to a eutriconodontan that is larger than and morphologically distinguishable from the eutriconodont Hakusanodon from the Kuwajima Formation. The Kitadani eutriconodontan is potentially related to the family Triconodontidae. The additional specimens from the Kitadani Formation shed new light on Early Cretaceous mammalian faunal change and dispersal in East Asia.
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
Creators: name: Yu, Cheng-Han
name: Li, Meng
name: Noe, Colin
name: Fischer-Baum, Simon
name: Vannucci, Marina
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Stationary points embedded in the derivatives are often critical for a model to be interpretable and may be considered as key features of interest in many applications. We propose a semiparametric Bayesian model to efficiently infer the locations of stationary points of a nonparametric function, while treating the function itself as a nuisance parameter. We use Gaussian processes as a flexible prior for the underlying function and impose derivative constraints to control the function's shape via conditioning. We develop an inferential strategy that intentionally restricts estimation to the case of at least one stationary point, bypassing possible mis-specifications in the number of stationary points and avoiding the varying dimension problem that often brings in computational complexity. We illustrate the proposed methods using simulations and then apply the method to the estimation of event-related potentials (ERP) derived from electroencephalography (EEG) signals. We show how the proposed method automatically identifies characteristic components and their latencies at the individual level, which avoids the excessive averaging across subjects which is routinely done in the field to obtain smooth curves. By applying this approach to EEG data collected from younger and older adults during a speech perception task, we are able to demonstrate how the time course of speech perception processes changes with age.
description: Biometrics, to appear
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM
Creators: name: Osborne, Nathan
name: Peterson, Christine B.
name: Vannucci, Marina
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Network estimation and variable selection have been extensively studied in the statistical literature, but only recently have those two challenges been addressed simultaneously. In this paper, we seek to develop a novel method to simultaneously estimate network interactions and associations to relevant covariates for count data, and specifically for compositional data, which have a fixed sum constraint. We use a hierarchical Bayesian model with latent layers and employ spike-and-slab priors for both edge and covariate selection. For posterior inference, we develop a novel variational inference scheme with an expectation maximization step, to enable efficient estimation. Through simulation studies, we demonstrate that the proposed model outperforms existing methods in its accuracy of network recovery. We show the practical utility of our model via an application to microbiome data. The human microbiome has been shown to contribute to many of the functions of the human body, and also to be linked with a number of diseases. In our application, we seek to better understand the interaction between microbes and relevant covariates, as well as the interaction of microbes with each other. We provide a Python implementation of our algorithm, called SINC (Simultaneous Inference for Networks and Covariates), available online.