cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: MOSFET modelling as a digital twin and use of machine learning models to find current leakage
title: Μοντελοποίηση MOSFET ως ψηφιακό δίδυμο και χρήση μοντέλων μηχανικής μάθησης για την εύρεση ρεύματος διαρροής
titleType: AlternativeTitle
Creators: name: Τζίντι, Χένρι
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2023
Subjects: Artificial intelligence
Digital twins
MOSFET
Machine learning
Electronic circuits
Electrical control
Electronic control
Transistor
Simulation
Τεχνητή νοημοσύνη
Ψηφιακό δίδυμο
Μηχανική μάθηση

description: The object of this thesis is the presentation of a digital twin of the MOSFET, with the aim of providing tools for a better and more in-depth study and monitoring of its functions. Through the digital twin of the MOSFET, the peculiarities and challenges it presents, such as threshold leakage current, a common occurrence in non-ideal MOSFETs, are investigated. While digital twins have found applications in many industrial fields due to their versatility, in the case of this thesis, Machine Learning is utilized to enhance the accuracy and sensitivity of the analysis in the MOSFET. The corresponding digital twin, apart from its description, has been implemented within the thesis through the use of Python programming language, incorporating advanced Machine Learning models for even deeper understanding. The aim is not just to present a technological innovation, but to highlight how the integration of Machine Learning can enhance the performance and applicability of digital twins in real industrial situations.
Holistic Care for Thai Autism
Creators: name: Sriwanna Poolsuppasit
name: Benjaporn Panyayong
name: Dusit Liknapichitkul
name: Prayuk Serisathien
name: Worawan Chutha
Publisher: name: Department of Mental Health Thailand
Year: 2005
Subjects: Autism,prevalence,Holistic Care

description: 1, 13, Journal of Mental Health of Thailand
Modeling Without a Gold Standard: Stratification with Stratum-Dependent Parameters
Creators: name: Louzada, Francisco
name: De Araujo Pereira, Gilberto
name: Ferreira-Silva, Márcia M.
name: De Fátima Barbosa, Valdirene
name: De Moraes-Souza, Helio
name: S. Castro Perdona, Gleici
Publisher: name: REVSTAT-Statistical Journal
Year: 2014

description: Bayesian latent-class models have been widely applied for assessing the performance of diagnostic tests in the absence of a gold standard. We provide a short discussion on identifiability issues appearing under the absence of a gold standard, and construct an extension of the well-known Hui–Walter stratification model which allows for stratumdependent parameters. We illustrate our approach using a Chagas disease case study on blood donors from Brazil.
description: REVSTAT-Statistical Journal, Vol. 12 No. 1 (2014): REVSTAT-Statistical Journal
Rehospitalization Rates of Schizophrenic Patients Discharged on a Regimen of Atypical Antipsychotics or Conventional Antipsychotics
Creators: name: Wanchai Kitaroonchai
Publisher: name: Department of Mental Health Thailand
Year: 2005
Subjects: schizophrenia,atypical antipsychotics,conventional antipsychotics,rehospitalization

description: 1, 13, Journal of Mental Health of Thailand
Verification Bias
Creators: name: A. Alonzo, Todd
Publisher: name: REVSTAT-Statistical Journal
Year: 2014

description: Sometimes it is not feasible to obtain disease status verification for all study subjects. Analysis of only those with disease ascertainment can result in biased estimates of the accuracy (sensitivity, specificity, ROC curve) of a diagnostic test, screening test, or biomarker if the estimation method does not properly account for the missing disease ascertainment. This paper discusses the impact of this bias, verification bias, when estimating the accuracy of dichotomous and continuous diagnostic tests. In addition, methods to correct for verification bias are described. Areas that require additional attention are also highlighted.
description: REVSTAT-Statistical Journal, Vol. 12 No. 1 (2014): REVSTAT-Statistical Journal
The pineapple girl
Creators: name: Rendle-Short, Francesca
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 360201
subject: Creative writing (incl. scriptwriting)

description: This creative work contributes to a body of writing and research on Queensland. The Queensland Historical Atlas is the most significant collection of work to be published on the Queensland landscape to date. It positions itself at the forefront of new directions in the atlas form. More than 110 researchers have contributed to the online atlas funded by a three-year grant from the ARC 2007-2010. It now receives ongoing funding through the Centre for the Government of Queensland, Uni of Queensland. I was commissioned by Dr Marion Stell to create this work for the atlas 1. because of the scholarly research and writing I was undertaking at the time for my critically acclaimed memoir-cum-novel Bite Your Tongue (shortlisted for the 2012 Colin Roderick Literary Award) that explores a significant social/cultural juncture in Queensland's history, and 2. because of my creative contribution to the National Museum of Australia's Eternity Gallery (also curated by Dr Stell). The framework for this atlas is 14 themes ranging from conflict to curiosity to pleasure (themed creatively like Eternity). My essay, housed in Dreaming/Imagination is a significant contribution in both content and form to "How people have imagined Queensland". It gives refeshing insight into the remarkableness and place of the pineapple in this imagined state. This atlas is a refereed journal. Each article must demonstrate substantial scholarly activity, as evidenced by discussion of the relevant literature, an awareness of the history and antecedents of work described, and provided in a format that allows readers to trace sources of the work through other section. According to google analytics, this article has been viewed 675 times since it was uploaded, each user spending 2:01 mins on the page (ie enough time to read the whole article, above site average of 1:52). Top viewing countries are Australia, USA, UK, France, Philippines. Top viewing cities are Brisbane, Melbourne, Sydney, Perth, Canberra.
Supplementary document for Simultaneous scattering compensation at multiple points in multi-photon microscopy - 5506322.pdf
Creators: name: May, Molly
name: Kummer, Kai
name: Edenhofer, Marie-Luise
name: Choconta, Jainy Luna
name: Kress, Michaela
name: Ritsch-Marte, Monika
name: Jesacher, Alexander
Publisher: name: Optica Publishing Group
Year: 2021
Subjects: Uncategorized

description: Supplemental Document
Gastrointestinal absorption of uranium compounds A review
Creators: name: Konietzka, Rainer
Publisher: name: My University
Year: 2015
Subjects: Uran
Resorption
Speziesunterschiede
Toxizität

description: Uranium occurs naturally in soil and rocks, and therefore where it is present in water-soluble form it also occurs naturally in groundwater as well as in drinking water obtained from groundwater. Animal studies suggest that the toxicity of uranium is mainly due to its damage to kidney tubular cells following exposure to soluble uranium compounds. The assessments of the absorption of uranium via the gastrointestinal tract vary, and this has consequences for regulation, in particular the derivation of e.g. drinking water limit values. Absorption rates vary according to the nature and solubility of the compound in which uranium is presented to the test animals and depending on the animal species used in the test. No differences for sex have been observed for absorption in either animals or humans. However, human biomonitoring data do show that boys excrete significantly more uranium than girls. In animal studies neonates took up more uranium than adults or older children. Nutritional status, and in particular the iron content of the diet, have a marked influence on absorption, and higher uranium levels in food intake also appear to increase the absorption rate. If the pointers to an absorption mechanism competing with iron are correct, these mechanisms could also explain the relatively high concentration and chemical toxicity of uranium in the kidneys. It is here (and in the duodenum) that divalent metal transporter 1 (DMT1), which is primarily responsible for the passage of iron (or uranium?) through the cell membranes, is most strongly expressed.Quelle: http://www.sciencedirect.com
Developments in ROC Surface Analysis and Assessment of Diagnostic Markers in Three-Class Classification Problems
Creators: name: T. Nakas, Christos
Publisher: name: REVSTAT-Statistical Journal
Year: 2014

description: This article reviews current state of the art of ROC surface analysis and illustrates its use through an application on a pancreatic cancer diagnostic marker. Receiver Operating Characteristic (ROC) surfaces have been studied in the literature essentially only during the last decade and are considered as a natural generalization of ROC curves in three-class diagnostic problems. This article presents the definition, construction, modelling, and utility of the ROC surface while trying to provide an extensive reference list in the topic. It describes methodology for inference based on the Volume Under the ROC surface (VUS) and methodology for decision making through the selection of optimal cut-off points using the notion of the generalized Youden index as the optimality criterion of choice. It ends with a discussion regarding future directions for research in this field of knowledge.
description: REVSTAT-Statistical Journal, Vol. 12 No. 1 (2014): REVSTAT-Statistical Journal
Principal Protected Note Analytics
Creators: name: Lee, David
Publisher: name: Zenodo
Year: 2022
Subjects: principal protected note, Zero Plus Call, linear amortizing bond floor structure

description: A principal protected deposit note consists of zero plus call option and linear amortizing bond floor structure. these models are essentially accrual models, determining the current value of the option due to fee accrual and historical hedge fund performance in accordance with the documentation.
description: https://osf.io/preprints/socarxiv/qmh9c/download
Essays on Fashion: Urban Fashion Culture in Australia, & The Melbourne Cup and Racewear in Australia
Creators: name: Peers, Juliette
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 330315
subject: Textile and fashion design

description: RESEARCH BACKGROUND: Berg's Encylopedia of World Dress and Fashion is the world's leading annual academic reference book on fashion, respected for the analyses and interpretation of its contributing scholars. Volume 7 was the first edition of the encylopedia devoted to fashion in Australia, New Zealand and the Pacific Islands. Along with Margaret Maynard, Robyn Healy, Peter MCNeil and Vicki Karaminas, Juliette Peers was one of the leading Australian fashion academics invited to contribute. Her two substantial, scholarly essays were on urbanism and fashion and on the Melbourne Cup. RESEARCH CONTRIUBTION: In 'Urban Fashion Culture' Peers presented a new argument that Australian urbanism, particularly Melbourne urbanism, was perhaps more open and sophisticated in the late nineteenth century than it was in the 1940s and 1950s. She drew on new primary source research to argue that the Australian fashion industry was more competitive and innovative than stereotypes have suggested. Her essay on Melbourne Cup fashions placed this lucrative sub-genre of fashion of apparel in a historic context and traced the development of racing fashion from its military roots in 1810 to the ritualised track dress codes of the present. RESEARCH SIGNIFICANCE:The significance of these two essays is demonstated by their inclusion in Bergs encylopedia. Like Groves Dictionary of Music and Musicians, Berg is not simply an information hub but a location for authoritative analysis and interpretation that shapes understanding of the fashion discipline at an international level. Together the essays in this collection are the most intellectually rigorous account of contemporary and historical Australian fashion.
Review on ROC Curves in the Presence of Covariates
Creators: name: Pardo-Fernández, Juan Carlos
name: Rodríguez-Álvarez, María Xosé
name: Van Keilegom, Ingrid
Publisher: name: REVSTAT-Statistical Journal
Year: 2014

description: In this paper we review the literature on ROC curves in the presence of covariates. We discuss the different approaches that have been proposed in the literature to define, model, estimate and do asymptotics for ROC curves that incorporate covariates. For reasons of brevity, we mostly focus on nonparametric approaches, although some parametric and semiparametric methods are also discussed. We also analyze endocrinological data on the body mass index to illustrate the methodology. Finally, we mention some research topics that need further investigation or that are still unexplored.
description: REVSTAT-Statistical Journal, Vol. 12 No. 1 (2014): REVSTAT-Statistical Journal
Adaptation to Social-Linguistic Associations in Audio-Visual Speech
Creators: name: Babel, Molly
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2022

description: Listeners entertain hypotheses about how social characteristics affect a speaker’s pronunciation. While some of these hypotheses may be representative of a demographic, thus facilitating spoken language processing, others may be erroneous stereotypes that impede comprehension. As a case in point, listeners’ stereotypes of language and ethnicity pairings in varieties of North American English can improve intelligibility and comprehension, or hinder these processes. Using audio-visual speech this study examines how listeners adapt to speech in noise from four speakers who are representative of selected accent-ethnicity associations in the local speech community: an Asian English-L1 speaker, a white English-L1 speaker, an Asian English-L2 speaker, and a white English-L2 speaker. The results suggest congruent accent-ethnicity associations facilitate adaptation, and that the mainstream local accent is associated with a more diverse speech community.
title: Hygrothermal simulation and risk evaluation - A literature review and assessment of the applicability of the Lattice Boltzmann Method to derive the influence of convection on moisture behaviour in building components
Creators: name: Sarkany, Andreas
name: Bednar, Thomas
Publisher: name: TU Wien
Year: 2022
Subjects: HAM
LBM
moisture
convection

description: Since the Lattice Boltzmann Method (LBM) showed promising ways in describing fluid flow and convective phenomena, this literature review gives an overview of the application of LBM to date in the realm of hygrothermal simulations (HAM). Furthermore, ways to apply LBM to derive the influence of convection on moisture transport in building components are assessed. This is achieved by a literature review which is carried out for specific fields of application of LBM which are intertwined with topics of hygrothermal simulations (Natural convection, Porous media, Flow through channels). The introduction is accompanied by a condensed theoretical overview of the used LBM-scheme in most of the reviewed literature. It could be seen that, in regard to these topics, the majority of simulations is carried out 2-dimensionally using mostly the D2Q9 model with single relaxation times. The reviewed literature shows LBM as a validated tool, solidifying the choice of LBM for our purposes. No coupling of LBM to HAM-simulations to derive the influence of convection on moisture transport could be found. In conclusion, the deduction of parameters like the permeability is identified as a potent subfield for the coupling of LBM and HAM-simulations for further research.
ROC Curve Estimation
Creators: name: Gonçalves, Luzia
name: Subtil, Ana
name: Oliveira, M. Rosário
name: De Zea Bermudez, Patricia
Publisher: name: REVSTAT-Statistical Journal
Year: 2014

description: This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we focus on some frequentist and Bayesian methods which have been mostly employed in the medical setting. Although we emphasize the medical domain, we also describe links with other fields where related developments have been made, and where some modeling concepts are often known under other designations.
description: REVSTAT-Statistical Journal, Vol. 12 No. 1 (2014): REVSTAT-Statistical Journal
Generalized Skew Logistic Distribution
Creators: name: Esmaeili, L.
name: Nadarajah, S.
name: Shih, S.H.
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: In this paper, we introduce a generalized skew logistic distribution that contains the usual skew logistic distribution as a special case. Several mathematical properties of the distribution are discussed like the cumulative distribution function and moments. Furthermore, estimation using the method of maximum likelihood and the Fisher information matrix are investigated. Two real data applications illustrate the performance of the distribution.
description: REVSTAT-Statistical Journal, Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal
Two Nonparametric Estimators of the Mean Residual Life
Creators: name: Mugdadi, Abdel-Razzaq
name: Teweldemedhin, Amanuel
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: The mean residual life function L(t) can be written based on the vitality function V (t). In this article we propose two methods to estimate V (t). The two methods are based on both the kernel density estimation and the empirical function. In addition, we evaluate the mean square error of the two estimators and we study the consistency for both of them.
description: REVSTAT-Statistical Journal, Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal
Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies
Creators: name: Louca, Panayiotis
name: Nogal, Ana
name: Moskal, Aurélie
name: Goulding, Neil J.
name: Shipley, Martin J.
name: Alkis, Taryn
name: Lindbohm, Joni V.
name: Hu, Jie
name: Kifer, Domagoj
name: Wang, Ni
name: Chawes, Bo
name: Rexrode, Kathryn M.
name: Ben-Shlomo, Yoav
name: Kivimaki, Mika
name: Murphy, Rachel Anne
name: Yu, Bing
name: Gunter, Marc J.
name: Suhre, Karsten
name: Lawlor, Deborah A.
name: Mangino, Massimo
name: Menni, Cristina
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2023

description: Hypertension is the main modifiable risk factor for cardiovascular morbidity and mortality but discovering molecular mechanisms for targeted treatment has been challenging. Here we investigate associations of blood metabolite markers with hypertension by integrating data from nine intercontinental cohorts from the COnsortium of METabolomics Studies. We included 44,306 individuals with circulating metabolites (up to 813). Metabolites were aligned and inverse normalised to allow intra-platform comparison. Logistic models adjusting for covariates were performed in each cohort and results were combined using random-effect inverse-variance meta-analyses adjusting for multiple testing. We further conducted canonical pathway analysis to investigate the pathways underlying the hypertension-associated metabolites. In 12,479 hypertensive cases and 31,827 controls without renal impairment, we identified 38 metabolites, associated with hypertension after adjusting for age, sex, body mass index, ethnicity, and multiple testing. Of these, 32 metabolite associations, predominantly lipid (steroids and fatty acyls) and organic acids (amino-, hydroxy-, and keto-acids) remained after further adjusting for comorbidities and dietary intake. Among the identified metabolites, 5 were novel, including 2 bile acids, 2 glycerophospholipids, and ketoleucine. Pathway analysis further implicates the role of the amino-acids, serine/glycine, and bile acids in hypertension regulation. In the largest cross-sectional hypertension-metabolomics study to date, we identify 32 circulating metabolites (of which 5 novel and 27 confirmed) that are potentially actionable targets for intervention. Further in-vivo studies are needed to identify their specific role in the aetiology or progression of hypertension.
TopAI: A Stability-Preserving AI Architecture
Creators: name: Ewing, Maurice Antony
Publisher: name: Zenodo
Year: 2025
Subjects: TopAi
Stability-Preserving AI
Recursive Optimization
Model Collapse
Optimization Drift,
Topological Intelligence
Totemic Memory
Stability-First Design
Chaos-Resistant Systems
Ewing's Law
Immune System Modeling
Biological Robustness
Adaptive Systems
Homeostatic Intelligence
Health System Dynamics
AI Architecture
Nonlinear Dynamics
Control Theory
Data-Efficient AI
Causal Modeling
Signal Stability
AI for Healthcare
Digital Risk Monitoring
Model Interpretability
Low-Compute AI
AI safety
Volatility-Aware AI
Computational Efficiency
AI Alpha Generation
Model Risk Management
Financial Systems Modeling

description: This whitepaper introduces TopAI, an AI architecture designed for stability, performance, and cost-efficiency. It explains core innovations such as totemic constraints, topological memory, and stability-first optimization—offering a sustainable alternative to traditional, unstable models.
TopAI: A Discussion Paper on Stability-Preserving AI
Creators: name: Ewing, Maurice Antony (Tony)
Publisher: name: Zenodo
Year: 2025
Subjects: Topological AI
Stability-Preserving AI
AI architecture
Model drift
Model collapse
Totemic memory
Bounded inference
Artificial intelligence
Machine learning
Concept drift
AI in healthcare
Edge AI
Model robustness
AI hallucination

description: This discussion paper outlines the motivation behind topAI, a stability-first AI architecture designed for cost-efficient, chaos-resistant deployment. It introduces the principles of topological memory, totemic constraint, and bounded inference without disclosing the implementation logic.
Partial Element Equivalent Circuit Based Parallel Electromagnetic Transient Simulation on GPU
Creators: Madhawa Ranasinghe, Venkata Dinavahi
Publisher: name: University of Alberta Library
Year: 2024

The partial element equivalent circuit (PEEC) method effectively solves Maxwell’s equations in integral form by converting electromagnetic field components into the electrical circuit domain. This article proposes a novel transmission line modeling (TLM) based parallel PEEC time-domain solver to solve nonlinear electromagnetic problems. The method substitutes both linear and nonlinear components in the standard PEEC equivalent circuit with corresponding TLM models, leading to an electrical current-based linear network and a magnetic current-based nonlinear network. The proposed TLM-PEEC method effectively decouples the nonlinear elements from the linear network, enabling individual solutions for the nonlinearities and making it highly suitable for parallel processing. Each nonlinear element is solved using parallel Newton-Raphson (N-R) iterations, and the analytical calculation of the Jacobian is presented along with the algorithm. The parallelization of the TLM PEEC method is explored and implemented on a many-core graphics processing unit (GPU) and a multi-core central processing unit (CPU) to provide detailed field-oriented information on electromagnetic transients in a single-phase 2D shell type transformer. The proposed architecture was easily coupled with an external network, and the accuracy and computational efficiency of the TLM-PEEC method was verified through similar simulation results obtained from Comsol Multiphysics.
Lacvietina lii
Creators: name: Feng, Yong-Yan
name: Yin, Zi-Wei
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Staphylinidae
Lacvietina
Lacvietina lii

description: Lacvietina lii (LI, TAng, AnD Zhu, 2007)
 Peitawopsis lii Li et al. 2007: 266, fig. 13.
 Lacvietina lii; Schülke 2015: 8; Chang et al. 2019: 576, figs. 2–4.
 Lacvietina astoni Rougemont 2017: 276; fig. 16. New synonym.
 Additional Material Examined (40 exx.). 4♂♂, 3♀♀, “ China: Guangdong, Shaoguan, Nanling N. R., 24°55ʹ43.67ʹʹ N, 113°0ʹ58.50ʹʹ E, ca. 1020 m, 27.vi.2020, sifted, Lin, Xia, Yin & Zhang leg. [È东DZ关南ü保ÊḆ]”; 12♂♂, 7♀♀, same locality and collector, except “ 24°55ʹ29.62ʹʹ N, 112°59ʹ31.42ʹʹ E, ca. 1538–1784 m, 28.vi.2020 ”; 2♂♂, 1♀♀, same locality and collector, except “ 24°56ʹ38ʹʹ N, 112°59ʹ31ʹʹ E, ca. 1316–1575 m, 29.vi.2020 ”; 1♀, same locality, except “ 24°55ʹ37ʹʹ N, 112°59ʹ21ʹʹ E, ca. 1750 m, 01.v.2015, sifted, Peng, Tu & Zhou leg.”; 4♂♂, “ China: Guangdong, Shixing County, Chebaling N. R., 24°40ʹ41.82ʹʹ N, 114°10ʹ20.42ʹʹ E, ca. 1060 m, 20.viii.2020, Liang Tang leg. [È东ª始兴县Ŧṇünfl保Ê区]”; 1♂, 1♀, same locality, except “ 24°43ʹ12.27ʹʹ N, 114°11ʹ18.03ʹʹ E, ca. 904–1004 m, 23.vi.2020, Lin, Xia, Yin & Zhang leg.”; 2♀♀, “ China: Guangxi, Lingui, Huaping N. R., alt. 1400–1700 m, 14.vii.2011, He & Tang leg. [Èƃffl坪nfl保Ê 区]”; 1♂, “ China: Guangxi, Xing’an, Maoershan N. R., 25°54ʹ N, 110°27ʹ E, alt. 1550–1750 m, 24.vii.2012, Hu & Song leg. [ÈƃDz儿Ɯnfl保 Ê区]”; 1♀, same locality and collector, except “ 450–650 m, 25.vii.2012 ”.
All specimens examined are deposited in the Insect Collection of Shanghai Normal University, Shanghai, China (SNUC).
description: Published as part of Feng, Yong-Yan & Yin, Zi-Wei, 2021, New Records and a New Synonym in Lacvietina Herman from China (Coleoptera: Staphylinidae: Tachyporinae), pp. 680-681 in The Coleopterists Bulletin 75 (3) on page 680, DOI: 10.1649/0010-065X-75.3.680, http://zenodo.org/record/13251444
Wirts- und mikrobiomseitige Einflussfaktoren auf die Inflammation bei kardiovaskulären Erkrankungen
Creators: name: Wilck, Nicola
Publisher: name: Charité - Universitätsmedizin Berlin
Year: 2024
Subjects: subject: cardiovascular disease
subject: microbiome
subject: inflammation
subject: proteasome
subject: 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit

description: Cardiovascular diseases such as atherosclerosis and hypertension are characterized by a persistent inflammatory state, the severity of which can be influenced by both intrinsic cellular processes and extrinsic microbial factors. The proteasome as the central protein degradation system served as the cellular target structure in the present study, whose function in the context of atherosclerosis was influenced by the application of a proteasome inhibitor. Taking into account the central role of the proteasome and in order to avoid toxic effects, low concentrations of the proteasome inhibitor bortezomib were used to influence experimental atherosclerosis in LDLR -/- mice. An early stage of atherosclerosis could be favorably influenced by low-dose proteasome inhibition. Mechanistically, anti-oxidative and anti-inflammatory effects of low-dose proteasome inhibition were identified. In addition, the influence of a genetic deficiency of the immunoproteasomal subunit β5i/LMP7 was investigated in LDLR -/- mice, but this did not affect either early or late atherosclerosis in the mouse model. These studies suggest that although the proteasome could be a potential target for future therapies, more specific targeting of components of the ubiquitin-proteasome system is required to counteract inflammation in a more targeted manner with few side effects. Cardiovascular diseases are particularly dependent on environmental factors such as diet. The intestinal microbiota reacts sensitively to the environment and diet and interacts with the immune system. Many diseases have already been shown to be influenced by the microbiome. The work presented here investigates the role of the microbiome in hypertension. It was shown that hypertensive renal and cardiac damage is aggravated in the absence of a microbiome in germ-free mice, which could indicate the absence of protective bacterial metabolites. In addition, the influence of a high-salt diet on the microbiome was investigated and Lactobacillus was identified as a salt-sensitive intestinal bacterium that regulates TH17-dependent inflammation and blood pressure by producing a metabolite. Finally, in another study, the short-chain fatty acid propionate was identified as a protective bacterial metabolite that protects against hypertensive cardiac damage via partly Treg-dependent mechanisms. In summary, these studies highlight the microbiome as a promising target for organoprotective therapies in hypertension.
Estimation of the Second Order Parameter for Heavy-Tailed Distributions
Creators: name: Deme, El Hadji
name: Gardes, Laurent
name: Girard, Stéphane
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: The extreme-value index γ is an important parameter in extreme-value theory since it controls the first order behavior of the distribution tail. In the literature, numerous estimators of this parameter have been proposed especially in the case of heavy-tailed distributions, which is the situation considered here. Most of these estimators depend on the k largest observations of the underlying sample. Their bias is controlled by the second order parameter ρ. In order to reduce the bias of γ’s estimators or to select the best number k of observations to use, the knowledge of ρ is essential. In this paper, we propose a simple approach to estimate the second order parameter ρ leading to both existing and new estimators. We establish a general result that can be used to easily prove the asymptotic normality of a large number of estimators proposed in the literature or to compare different estimators within a given family. Some illustrations on simulations are also provided.
description: REVSTAT-Statistical Journal, Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal
Multiplicative Censoring: Estimation of a Density and its Derivatives under the Lp-Risk
Creators: name: Abbaszadeh, Mohammad
name: Chesneau, Christophe
name: Doosti, Hassan
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: We consider the problem of estimating a density and its derivatives for a sample of multiplicatively censored random variables. The purpose of this paper is to present an approach to this problem based on wavelets methods. Two different estimators are developed: a linear based on projections and a nonlinear using a term-by-term selection of the estimated wavelet coefficients. We explore their performances under the Lp-risk with p ≥ 1 and over a wide class of functions: the Besov balls. Fast rates of convergence are obtained. Finite sample properties of the estimation procedure are studied on a simulated data example.
description: REVSTAT-Statistical Journal, Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal
Accurate Approximation to the Distribution of a Linear Combination of Non-Central Chi-Square Random Variables
Creators: name: Ha, Hyung-Tae
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: This paper provides an accessible methodology for approximating the distribution of a general linear combination of non-central chi-square random variables. Attention is focused on the main application of the results, namely the distribution of positive definite and indefinite quadratic forms in normal random variables. After explaining that the moments of a quadratic form can be determined from its cumulants by means of a recursive formula, we propose a moment-based approximation of the density function of a positive definite quadratic form, which consists of a gamma density function that is adjusted by a linear combination of Laguerre polynomials or, equivalently, by a single polynomial. On expressing an indefinite quadratic form as the difference of two positive definite quadratic forms, explicit representations of approximations to its density and distribution functions are obtained in terms of confluent hypergeometric functions. The proposed closed form expressions converge rapidly and provide accurate approximations over the entire support of the distribution. Additionally, bounds are derived for the integrated squared and absolute truncation errors. An easily implementable algorithm is provided and several illustrative numerical examples are presented. In particular, the methodology is applied to the Durbin–Watson statistic. Finally, relevant computational considerations are discussed. Linear combinations of chi-square random variables and quadratic forms in normal variables being ubiquitous in statistics, the distribution approximation technique introduced herewith should prove widely applicable.
description: REVSTAT-Statistical Journal, Vol. 11 No. 3 (2013): REVSTAT-Statistical Journal
Individual project on theme "Apus" (MOOC: CompTech in biology)
Creators: name: Chetvergova Lada
Publisher: name: Zenodo
Year: 2022

description: Данный кейс является результатом реализации индивидуального проекта Четверговой Лады по теме "Cryptogramma R. Br." в рамках онлайн курса "Компьютерные технологии в биологии" (автор – А.В. Ваганов) (https://stepik.org/course/60859/promo)
Nonparametric Estimation for Functional Data by Wavelet Threshold
Creators: name: Chesneau, Christophe
name: Kachour, Maher
name: Maillot, Bertrand
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: This paper deals with density and regression estimation problems for functional data. Using wavelet bases for Hilbert spaces of functions, we develop a new adaptive procedure based on a term-by-term selection of the wavelet coefficients estimators. We study its asymptotic performances by considering the mean integrated squared error over adapted decomposition spaces.
description: REVSTAT-Statistical Journal, Vol. 11 No. 2 (2013): REVSTAT-Statistical Journal
Exponential-Negative Binomial Distribution
Creators: name: Rezaei, Sadegh
name: Nadarajah, Saralees
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: A new three-parameter distribution is proposed for modeling lifetime data. It is advocated as most reasonable among the many exponential mixture type distributions proposed in recent years. An account of the mathematical properties of the new distribution including estimation issues is presented. Two real data applications are described to show superior performance versus at least four of the known lifetime models.
description: REVSTAT-Statistical Journal, Vol. 11 No. 2 (2013): REVSTAT-Statistical Journal
Boundary Kernels for Distribution Function Estimation
Creators: name: Tenreiro, Carlos
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: Boundary effects for kernel estimators of curves with compact supports are well known in regression and density estimation frameworks. In this paper we address the use of boundary kernels for distribution function estimation. We establish the ChungSmirnov law of iterated logarithm and an asymptotic expansion for the mean integrated squared error of the proposed estimator. These results show the superior theoretical performance of the boundary modified kernel estimator over the classical kernel estimator for distribution functions that are not smooth at the extreme points of the distribution support. The automatic selection of the bandwidth is also briefly discussed in this paper. Beta reference distribution and cross-validation bandwidth selectors are considered. Simulations suggest that the cross-validation bandwidth performs well, although the simpler reference distribution bandwidth is quite effective for the generality of test distributions.
description: REVSTAT-Statistical Journal, Vol. 11 No. 2 (2013): REVSTAT-Statistical Journal
Maximum Likelihood Estimator for Irregularly Observed Time Series Data from COGARCH(1,1) Models
Creators: name: Kim, Moosup
name: Lee, Sangyeol
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: In this paper, we study the asymptotic properties of the maximum likelihood estimator (MLE) in COGARCH(1,1) models driven by L´evy processes as proposed by Maller et al. ([13]). We show that the MLE is consistent and asymptotically normal under some conditions relevant to the moments of the driving L´evy process and the sampling scheme.
description: REVSTAT-Statistical Journal, Vol. 11 No. 2 (2013): REVSTAT-Statistical Journal
title: Very high stratospheric influence observed in the free troposphere over the Northern Alps - just a local phenomenon?
title: Very high stratospheric influence observed in the free troposphere over the Northern Alps - just a local phenomenon?
titleType: AlternativeTitle
Creators: name: Ries, Ludwig
name: Trickl, Thomas
name: Vogelmann, Hannes
Publisher: name: My University
Year: 2020
Subjects: Ozon
Wasserdampf
Aerosol
Lidar

description: The atmospheric composition is strongly influenced by a change in atmospheric dynamics, which is potentially related to climate change. A prominent example is the doubling of the stratospheric ozone component at the summit station Zugspitze (2962 m a.s.l., Garmisch-Partenkirchen, Germany) between the mid-seventies 15 and 2005, roughly from 11 ppb to 23 ppb (43 %). Systematic efforts for identifying and quantifying this influence have been made since the late 1990s. Meanwhile, routine lidar measurements of ozone and water vapour carried out at Garmisch-Partenkirchen (German Alps) since 2007, combined with in-situ and radiosonde data and trajectory calculations, have revealed that stratospheric intrusion layers are present on 84 % of the yearly measurement days. At Alpine summit stations the frequency of intrusions exhibits a seasonal cycle with a 20 pronounced summer minimum that is reproduced by the lidar measurements. The summer minimum disappears if one looks at the free troposphere as a whole. The mid- and upper-tropospheric intrusion layers seem to be dominated by very long descent on up to hemispheric scale in an altitude range starting at about 4.5 km a.s.l. Without interfering air flows, these layers remain very dry, typically with RH =< 5 % at the centre of the intrusion. Pronounced ozone maxima observed above Garmisch-Partenkirchen have been mostly related to a 25 stratospheric origin rather than to long-range transport from remote boundary layers. Our findings and results for other latitudes seem to support the idea of a rather high contribution of ozone import from the stratosphere to tropospheric ozone. Copyright: Author(s) 2019. CC BY 4.0 License
Belladessus femineus Miller and Short 2015
Creators: name: Benetti, Cesar J.
name: Z. Short, Andrew Edward
name: Hamada, Neusa
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Dytiscidae
Belladessus
Belladessus femineus

description: Belladessus femineus Miller and Short, 2015  (Figs. 3–4, 9–10)
 Belladessus femineus Miller and Short 2015: 501.
 Material Examined. Paratype (1 ♀), labeled: SURINAME: Sipaliwini District / N 3°53.942′ W 56°10.849′, 733m / CSNR: Tafelberg Summit, near / Caiman Creek Camp, forest / detrital pools; leg. Short & Bloom / 19.viii.2013; SR13-0819.05C // PARATYPE / Belladessus femineus / Miller & Short, 2015.
 Additional Material Examined. 1 female: Brazil, Roraima State, Amajari County, “ Serra do Tepequém, igarapé na ponte, antes da Vila a direita” (03°47′20.8′′N, 061°42′33.9′′W), small, forested stream, 628 m.a.s.l., 14.i.2018, leg. C. J. Benetti and A. E. Z. Short (INPA, 1 ♀).
 Note. The specimen collected in Roraima State has the general coloration darker than the paratype studied.
description: Published as part of Benetti, Cesar J., Z. Short, Andrew Edward & Hamada, Neusa, 2021, First Report of Belladessus Miller and Short, 2015 from Brazil with Description of Two New Species (Coleoptera: Dytiscidae: Hydroporinae: Bidessini), pp. 339-345 in The Coleopterists Bulletin 75 (2) on page 344, DOI: 10.1649/0010-065X-75.2.339, http://zenodo.org/record/13251451
Business-Oriented Information System for Detecting Deforestation Points Using Satellite Data and Deep learning
Creators: name: Frey Sylvestre
name: Musas A musas
name: Anzola Kibamba Nestor
name: Mwamba Kande Franklin
name: Kafunda Katalay Pierre
name: Biaba Kuya Jirinse
name: Oshasha Fiston
Publisher: name: Zenodo
Year: 2024

description: This study aims to develop a business-oriented software, EcoWatchtower, for real-time monitoring of deforestation areas using satellite data and machine learning. The objective is to create a system capable of detecting deforestation activities by analyzing satellite images with a deep learning model.

The methodology is based on comparing captured images with reference models to identify anomalies. The results show that the system can automatically generate geolocated alerts, facilitating the rapid intervention of eco-guards, especially in areas where physical surveillance is limited. The main innovation of EcoWatchtower lies in its ability to provide proactive and automated monitoring, precisely marking GPS points of at-risk areas. This system overcomes the challenges of traditional methods by offering an intelligent and continuous solution for forest protection.

In conclusion, EcoWatchtower represents a significant advancement in the fight against deforestation, despite challenges related to data complexity and the continuous improvement of deep learning algorithms.
Endobronchic Follicular Dendritic Cell Sarcoma: An Exceptionnal Endobronchic Tumour
Creators: name: Tiress, Nabil
name: El Hammoumi, Massine
name: Bhairis, Mohammed
name: Kouatli, Hamid
name: El Ochi, Reda
name: El Rhorfi, Ismail
name: Kabiri, El Hassane
Publisher: name: Portuguese Journal of Cardiac Thoracic and Vascular Surgery
Year: 2025

description: Follicular dendritic cell sarcoma is a very rare entity subject of few studies, we report a case of endobronchial site manifested by a total atelectasis of the right lung managed by initial endobronchic desobstruction and surgical excision with successful results.
description: Portuguese Journal of Cardiac Thoracic and Vascular Surgery, Vol. 32 No. 1 (2025): Jan-Mar
Exact Joint Distribution of Concomitants of Order Statistics and Their Order Statistics under Normality
Creators: name: Sheikhi, Ayyub
name: Tata, Mahbanoo
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: In this work we derive the exact joint distribution of a linear combination of concomitants of order statistics and linear combinations of their order statistics in a multivariate normal distribution. We also investigate a special case of related joint distributions discussed by He and Nagaraja (2009).
description: REVSTAT-Statistical Journal, Vol. 11 No. 2 (2013): REVSTAT-Statistical Journal
Improving SSA Predictions by Inverse Distance Weighting
Creators: name: Awichi, Richard O.
name: G. Müller, Werner
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: This paper proposes a method of utilizing spatial information to improve predictions in one dimensional time series analysis using singular spectrum analysis (SSA). It employs inverse distance weighting for spatial averaging and subsequently multivariate singular spectrum analysis (MSSA) for enhanced forecasts. The technique is exemplified on a data set for rainfall recordings from Upper Austria.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal
Supplementary document for Nonreciprocity in transmission mode with planar structures for arbitrarily polarized light - 7112778.pdf
Creators: name: Picardi, Michela Florinda
name: Moerbeek, Vera
name: Pascale, Mariano
name: Papadakis, Georgia Theano
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplemental material containing details of calculation of the permittivity and plots of the transmission
Skew-Normal Distribution in SPC
Creators: name: Figueiredo, Fernanda
name: Gomes, M. Ivette
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: Modeling real data sets, even when we have some potential (as)symmetric models for the underlying data distribution, is always a very difficult task due to some uncontrollable perturbation factors. The analysis of different data sets from diverse areas of application, and in particular from statistical process control (SPC), leads us to notice that they usually exhibit moderate to strong asymmetry as well as light to heavy tails, which leads us to conclude that in most of the cases, fitting a normal distribution to the data is not the best option, despite of the simplicity and popularity of the Gaussian distribution. In this paper we consider a class of skew-normal models that include the normal distribution as a particular member. Some properties of the distributions belonging to this class are enhanced in order to motivate their use in applications. To monitor industrial processes some control charts for skew-normal and bivariate normal processes are developed, and their performance analyzed. An application with a real data set from a cork stopper’s process production is presented.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal
Supplementary document for Nonreciprocity in transmission mode with planar structures for arbitrarily polarized light - 7147598.pdf
Creators: name: Picardi, Michela Florinda
name: Moerbeek, Vera
name: Pascale, Mariano
name: Papadakis, Georgia Theano
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplemental material
Supplementary document for Nonreciprocity in transmission mode with planar structures for arbitrarily polarized light - 7058173.pdf
Creators: name: Picardi, Michela Florinda
name: Moerbeek, Vera
name: Pascale, Mariano
name: Papadakis, Georgia Theano
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplemental document showing calculations of the permittivity tensor of the Weyl Semimetal and reporting transmission through the structure
Robust Methods in Acceptance Sampling
Creators: name: Carolino, Elisabete
name: Barão, Isabel
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: In the quality control of a production process (of goods or services), from a statistical point of view, the focus is either on the process itself with application of Statistical Process Control or on its frontiers, with application of Acceptance Sampling (AS) and Experimental Design. AS is used to inspect either the process output (final product) or the process input (raw material). The purpose of the design of a sampling plan is to determine a course of action that, if applied to a series of lots of a given quality, and based on sampling information, leads to a specified risk of accepting/rejecting them. Thus AS yields quality assurance. The classic AS by variables is based on the hypothesis that the observed quality characteristics follow the Gaussian distribution (treated in classical standards). This is sometimes an abusive assumption that leads to wrong decisions. AS for non-Gaussian variables, mainly for variables with asymmetric and/or heavy tailed distributions, is a relevant topic. When we have a known non-Gaussian distribution we can build specific AS plans associated with that distribution. Alternatively, we can use the Gaussian classical plans with robust estimators of location and scale — for example, the total median and the sample median as location estimates, and the full range, the sample range and the interquartile range, as scale estimates. In this work we will address the problem of determining AS plans by variables for Extreme Value distributions (Weibull and Fr´echet) with known shape parameter. Classical plans, specific plans and plans using the robust estimates for location are determined and compared.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal
Use of Survival Models in a Refinery
Creators: name: Madeira, Sílvia
name: Infante, Paulo
name: Didelet, Filipe
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: Statistical methods are nowadays increasingly useful in industrial engineering. From plant design reliability to equipment analysis, there is much to cover with statistical models in order to improve the efficiency of systems. At Sines refinery we found it useful to apply a Cox model to a particular critical equipment trying to find process variables that cause its vibration as well as to apply well known distributions to baseline hazard rate.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal