cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Systematic review of effectiveness and quality assessment of patient education materials and decision aids for breathlessness
Creators: name: Sunjaya, Anthony P.
name: Bao, Lexia
name: Martin, Allison
name: DiTanna, Gian L.
name: Jenkins, Christine R.
Publisher: name: BioMed Central
Year: 2022

description: Background Around 10% of adults suffer from clinically significant breathlessness. High quality and actionable patient education materials (PEMs) and patient decision aids (PDAs) have an important role for shared decision making and patient self-management. Objective To systematically assess the effectiveness of patient education materials (PEMs) and patient decision aids (PDAs) on clinical outcomes. Secondly, to assess the quality of PEMs and PDAs for breathlessness that are accessible online. Methods A systematic review of PEM or PDA intervention for breathlessness published between 1 January 2010 and November 2020 was conducted. An environmental scan and quality assessment of publicly available PEMs and PDAs was also conducted. Results Out of 2985 records, five studies were eligible for inclusion in this systematic review. Results of two randomised controlled trials suggest potential effectiveness of PEMs to improve patient reported outcomes and reduce healthcare utilization. In the environmental scan, 88 materials were included. Minimum reading age for most was high (Grade 10) and PEMs scored an average of 87% for understandability and 67% for actionability. Based on the DISCERN tool only 10 were classified as high quality. Conclusion There is a paucity of evidence on the effectiveness of PEMs and PDAs for improvement in breathlessness. There is a need to develop higher quality PEMs for breathlessness.
Reliability Aspects of Proportional Mean Residual Life Model Using Quantile Functions
Creators: name: Unnikrishnan Nair, N.
name: Sankaran, P.G.
name: Sunoj, S.M.
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In the present work we propose a study of the proportional mean residual life model using quantile functions instead of distribution functions employed in the traditional approach. Through various quantile-based reliability concepts ageing properties of the model are discussed. We present characterizations of the proportional mean residual life model by properties of measures of uncertainty in the residual lives of the variables. Some stochastic order properties relating to the model are also derived.
description: REVSTAT-Statistical Journal, Vol. 17 No. 4 (2019): REVSTAT-Statistical Journal
Is the role of language in instruction encoding modulated by the stimulus materials used?
Creators: name: Van 'T Wout, Félice
Publisher: name: PsychArchives
Year: 2022
Subjects: subject: 150

description: Recent studies have shown that language makes a crucial contribution to the encoding of novel task instructions. For example, Van 't Wout and Jarrold (2022) found that adults make more errors on a choice reaction time task when they performed a verbal distractor task (compared to a non verbal distractor task) during the instruction phase of the task. However, the precise contribution of language to instruction-based learning remains poorly understood. This study aimed to investigate whether participants use language to verbally label the individual stimuli that feature in each task, by manipulating whether the stimuli are easily verbalised or not.
New Robust Partial Least Squares Regression Method Based on a Robust and an Efficient Adaptive Reweighted Estimator of Covariance
Creators: name: Polat, Esra
name: Gunay, Suleyman
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Partial Least Squares Regression (PLSR) is a linear regression technique developed as an incomplete or “partial” version of the least squares estimator of regression, applicable when high or perfect multicollinearity is present in the predictor variables. Robust methods are introduced to reduce or remove the effects of outlying data points. In the previous studies it has been showed that if the sample covariance matrix is properly robustified further robustification of the linear regression steps of the PLS1 algorithm (PLSR with univariate response variable) becomes unnecessary. Therefore, we propose a new robust PLSR method based on robustification of the covariance matrix used in classical PLS1 algorithm. We select a reweighted estimator of covariance, in which the Minimum Covariance Determinant as initial estimator is used, with weights adaptively computed from the data. We compare this new robust PLSR method with classical PLSR and four other well-known robust PLSR methods. Both simulation results and the analysis of a real data set show the effectiveness and robustness of the new proposed robust PLSR method.
description: REVSTAT-Statistical Journal, Vol. 17 No. 4 (2019): REVSTAT-Statistical Journal
Self-Leadership and Personality
Creators: name: Von Gunten, Noelle
name: Saradjen, Sara
Publisher: name: PsychArchives
Year: 2022
Subjects: subject: 150

description: In this correlational study, we examine the relationship of self-leadership and personality. This correlation has previously only been examined at the dimension level (five-factor model). In this study, the correlation between the two constructs will be examined at the aspect level. In addition, we integrate other predictors of self-leadership: core self-evaluation, emotion regulation, job autonomy, and self-esteem. Furthermore, we investigate the following criteria: career success, job satisfaction, and life satisfaction.
Perfectionism and Burnout in Trainee Counselling Psychologists
Creators: name: Milson, Rhea
name: Madigan, Daniel J.
Publisher: name: PsychArchives
Year: 2024
Subjects: subject: 150

description: Burnout has been widely examined across healthcare professions and appears to be especially prominent in mental health professionals, such as psychologists (O’Connor et al., 2018). Research also suggests that perfectionism may contribute to burnout in these professionals (D’Souza et al., 2011), especially for trainee practitioner psychologists (Richardson et al., 2018). However, research into burnout experiences in trainee counselling psychologists specifically is limited. Moreover, no study has yet examined the role of perfectionistic self-presentation in this relationship. The present study, therefore, aims to examine the relationship between trait perfectionism, perfectionistic self-presentation and burnout in trainee counselling psychologists.
Confidence Intervals and Regions for the Generalized Inverted Exponential Distribution Based on Progressively Censored and Upper Records Data
Creators: name: Kınacı, Ismail
name: Wu, Shuo-Jye
name: Kuş, Coşkun
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In this paper, we study the estimation problems for the generalized inverted exponential distribution based on progressively type-II censored order statistics and record values. We establish some theorems to construct the exact confidence intervals and regions for the parameters. Monte Carlo simulation studies are used to assess the performance of our proposed methods. Simulation results show that the coverage probabilities of the exact confidence interval and the exact confidence region are all close to the desired level. Finally, two numerical examples are presented to illustrate the methods developed here.
description: REVSTAT-Statistical Journal, Vol. 17 No. 4 (2019): REVSTAT-Statistical Journal
Review of the Behrens–Fisher Problem and Some of its Analogs
Creators: name: Paul, Sudhir
name: Wang, You-Gan
name: Ullah, Insha
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The traditional Behrens–Fisher (B-F) problem is to test the equality of the means µ1 and µ2 of two normal populations using two independent samples, when the quotient of the population variances is unknown. Welch [43] developed a frequentist approximate solution using a fractional number of degrees of freedom t-distribution. We make a a comprehensive review of the existing procedures, propose new procedures, evaluate these for size and power, and make recommendation for the B-F and its analogous problems for non-normal populations. On the other hand, we investigate and answer a question: does the same size fit all all, i.e. is the t-test with Welch’s degree of freedom correction robust enough for the B-F problem analogs, and what sample size is appropriate to use a normal approximation to the Welch statistic.
description: REVSTAT-Statistical Journal, Vol. 17 No. 4 (2019): REVSTAT-Statistical Journal
Prediction Intervals of the Record-Values Process
Creators: name: E. Aly, Amany
name: Barakat, H.M.
name: El-Adll, Magdy E.
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In this paper, exact prediction intervals of the record-values process are constructed. The record-values process model, may be considered as the collection of record-values with integer or non-integer indices. It includes both usual k-th record-values and fractional k-th record-values models. For constructing the prediction intervals, two predictive pivotal quantities are developed. The distributions of the predictive pivotal quantities are derived and it is revealed that the distribution functions of the predictive pivotal quantities are similar for the upper and lower fractional record-values. More results are obtained for the exponential upper record-values process, including two point predictors and their exact mean square errors. Some efficient algorithms are given and Monte Carlo simulation studies are conducted for comparing pivotal quantities. Finally, three real data sets are analyzed.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
Information Theoretical Method for Analyzing Unreplicated Designs with Binary Response
Creators: name: Drosou, Krystallenia
name: Koukouvinos, Christos
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The analysis of unreplicated factorial designs constitutes a challenging but difficult issue since there are no degrees of freedom so as to estimate the error variance. In the present paper we propose a method for screening active effects in such designs, assuming Bernoulli distributed data rather than linear; something that hasn’t received much attention yet. Specifically, we develop an innovating algorithm based on an information theoretical measure, the well-known symmetrical uncertainty, so that it can measure the relation between the response variable and each factor separately. The powerfulness of the proposed method is revealed via both, a thorough simulation study and a real data set analysis.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
AP-optimum Designs for Minimizing the Average Variance and Probability-Based Optimality
Creators: name: Kilany, N.M.
name: Hassanein, W.A.
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The purpose of this paper is to introduce a new class of compound criteria and optimum designs that provide a specified balance between minimizing the average variance and high probability of a desired outcome. The proposed criterion called AP- optimality that combines A-optimality and P-optimality and address this issue for generalized linear models. An equivalence theorem for this criterion is provided and two numerical examples are presented for different GLMs to illustrate the achieved dual properties.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
Cusum Median Chart for Known and Estimated Parameters
Creators: name: Castagliola, Philippe
name: Figueiredo, Fernanda Otilia
name: Maravelakis, Petros E.
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The usual CUSUM chart for the mean (CUSUM-X¯) is a chart used to quickly detect small to moderate shifts in a process. In presence of outliers, this chart is known to be more robust than other mean-based alternatives like the Shewhart mean chart but it is nevertheless affected by these unusual observations because the mean (X¯) itself is affected by the outliers. An outliers robust alternative to the CUSUM-X¯ chart is the CUSUM median (CUSUM-X˜) chart, because it takes advantage of the robust properties of the sample median. This chart has already been proposed by other researchers and compared with other alternative charts in terms of robustness, but its performance has only been investigated through simulations. Therefore, the goal of this paper is not to carry out a robustness analysis but to study the effect of parameter estimation in the performance of the chart. We study the performance of the CUSUM-X˜ chart using a Markov chain method for the computation of the distribution and the moments of the run length. Additionally, we examine the case of estimated parameters and we study the performance of the CUSUM-X˜ chart in this case. The run length performance of the CUSUM-X˜ chart with estimated parameters is also studied using a proper Markov chain technique. Conclusions and recommendations are also given.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
A novel carbon-fibre adjustable reusable accessory (CARA) for supine breast positioning to reduce toxicity in breast adjuvant radiotherapy: a study protocol for a multicentre phase III randomized controlled trial
Creators: name: Duzenli, Cheryl
name: Chan, Elisa K.
name: Bergman, Alanah
name: Grahame, Sheri
name: Singer, Joel
name: Burns, Levi
name: Olson, Robert
Publisher: name: BioMed Central
Year: 2022

description: Background A novel device for supine positioning in breast radiotherapy for patients with large or pendulous breasts has been developed and tested in phase II studies. This trial is designed to assess the efficacy of the device to reduce skin toxicity and unwanted normal tissue dose in comparison to the current clinical standard for supine breast support during breast radiotherapy. Methods Patients at high risk for moist desquamation, having infra-mammary fold or lateral ptosis, will be randomized into two arms. Patients in the control arm will receive breast radiotherapy with supine positioning using current standard of care. Patients in the experimental arm will be positioned supine with the novel device. The primary endpoint is the incidence of moist desquamation in the infra-mammary fold. We hypothesize a 20% reduction (from 50 to 30%) in the rate of moist desquamation in the study arm versus the control arm. For 80% power, two-tailed α = 0.05 and 10% loss to follow up, 110 patients will be assigned to each arm. The proportion of patients experiencing moist desquamation in the two arms will be compared using logistic regression adjusting for brassiere cup size, skin fold size, body mass index, smoking status, and dose fractionation schedule. An unadjusted comparison will also be made using the chi-square test, or Fisher’s exact test, if appropriate. Secondary endpoints include dose-volume statistics for the lung and heart, skin dose and clinical parameters including setup time, reproducibility, and staff experience with setup procedures. Patient-reported pain, skin condition interference with sleep and daily activities, and comfort during treatment are also secondary endpoints. Discussion Based on results from earlier phase II studies, it is expected that the device-enabled elimination of infra-mammary fold should reduce toxicity and improve quality of life for this patient population. Earlier studies showed reduction in dose to organs at risk including lung and heart, indicating potential for other long-term benefits for patients using the device. This study is limited to acute skin toxicity, patient-reported outcomes, and clinical factors to inform integration of the device into standard breast radiotherapy procedures. Trial registration Clinicaltrials.gov identifier: NCT04257396 . Registered February 6 2020.
Beta Marshall–Olkin Lomax Distribution
Creators: name: J. Tablada, Claudio
name: M. Cordeiro, Gauss
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Compounding distributions is the most common method in lifetime analysis to obtain more flexible families of distributions. Based on the beta Marshall–Olkin generated family, we present a new four-parameter distribution, so-called the beta Marshall–Olkin Lomax, for lifetime applications. We obtain some of its properties from those of well-established distributions. We provide a simulation study to illustrate the performance of the maximum likelihood estimates. An application to uncensored data is carried out and we use some goodness-of-fit statistics to study the flexibility of the new distribution, proving empirically that this model can be appropriate for lifetime applications.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
Weighted Kullback–Leibler Divergence for Doubly Truncated Random Variables
Creators: name: Moharana, Rajesh
name: Kayal, Suchandan
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In this communication, we study doubly truncated weighted Kullback–Leibler divergence (KLD) between two nonnegative random variables. The proposed measure is a generalization of the dynamic weighted KLD introduced by Yasaei Sekeh et al. (2013). In reliability theory and survival analysis, it plays a significant role to study several aspects of a system when lifetimes fall in a time interval. It is showed that under some conditions, the proposed measure determines the distribution function uniquely. Further, characterization theorems for various lifetime distributions are proved. The effect of the monotone transformation on the proposed measure is studied. Some inequalities and bounds in terms of useful measures are obtained and finally, few applications are provided.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
Classical and Bayesian Componentwise Predictors for Non-Compact Correlated ARH(1) Processes
Creators: name: Ruiz-Medina, M. Dolores
name: Álvarez-Liébana, Javier
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: A special class of standard Gaussian Autoregressive Hilbertian processes of order one (Gaussian ARH(1) processes), with bounded linear autocorrelation operator, which does not satisfy the usual Hilbert–Schmidt assumption, is considered. To compensate the slow decay of the diagonal coefficients of the autocorrelation operator, a faster decay velocity of the eigenvalues of the trace autocovariance operator of the innovation process is assumed. As usual, the eigenvectors of the autocovariance operator of the ARH(1) process are considered for projection, since, here, they are assumed to be known. Diagonal componentwise classical and bayesian estimation of the autocorrelation operator is studied for prediction. The asymptotic efficiency and equivalence of both estimators is proved, as well as of their associated componentwise ARH(1) plugin predictors. A simulation study is undertaken to illustrate the theoretical results derived.
description: REVSTAT-Statistical Journal, Vol. 17 No. 3 (2019): REVSTAT-Statistical Journal
Joint Modelling of Longitudinal and Competing Risks Data in Clinical Research
Creators: name: Teixeira, Laetitia
name: Sousa, Inês
name: Rodrigues, Anabela
name: Mendonça, Denisa
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Joint modelling of longitudinal and survival data has received much attention in the recent years and is becoming increasingly used in clinical studies. When the longitudinal outcome and survival endpoints are associated, the many well-established models with different specifications proposed to analyse separately longitudinal and time-to-event outcomes are not suitable to analyse such data and a joint modelling approach is required. Although some joint models were adapted in order to allow for competing endpoints, this methodology has not been widely disseminated. The present study has as main objective to model jointly longitudinal and survival data in a competing risk context, discussing the different parameterisations of systematic implementations of these models in the R, using a real data set as an example for the comparison between the different model approaches. The relevance of this issue is associated with the need to draw attention of the users of this statistical software to the different interpretations of model parameters when fitting these models. To reinforce the relevance of these models in clinical research, we give an example of a data set on peritoneal dialysis that was analysed in this context, where death/transfer to haemodialysis was the event of interest and renal transplant was the competing event. Joint modelling results were also compared to separate analysis for these data.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
Segmental infarction of the testis: correlation of conventional and contrast-enhanced ultrasound findings.
Creators: name: Rafailidis, Vasileios
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Genital / Reproductive system male
subject: Ultrasound
subject: Ultrasound-Colour Doppler
subject: Contrast agent-intravenous
subject: Diagnostic procedure
subject: Ischaemia / Infarction

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 35 years
description: Clinical History: A 35-year-old male patient presented to emergency department after sustaining a self-inflicted clamping injury to the right hemiscrotum. Clinical examination revealed localised oedema and skin erythema. Scrotal ultrasound was requested to evaluate the scr... Final Diagnosis: Segmental infarction of the right testis
Accuracy Measures for Binary Classification Based on a Quantitative Variable
Creators: name: Santos, Rui
name: Felgueiras, Miguel
name: Martins, João Paulo
name: Liliana Ferreira, Liliana Ferreira
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The identification of the right methodology to perform binary classification based on an observed quantitative variable is usually a complex choice. Thus, the use of appropriate accuracy measures is crucial. In fact, the ROC curve reveals a lot of information about the accuracy of the applied methodology for all the possible values of the cut-point. In particular, the integral and partial areas under the ROC curve are widely used. The φ index, in which sensitivity equals specificity, may also be applied. Nevertheless, the accuracy at one specific cut-point may be sufficient to assess the accuracy in some applications. Therefore, different ways to define the optimal cut-point may be applied, such as the maximization of the Youden index, the maximization of the concordance probability or the minimization of the distance to the point with absence of misclassification. To compare the adequacy of these measures, a simulation study was performed under different scenarios. The results highlight the advantages and disadvantages of each procedure and advise the use of the φ index.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
Advanced interventions in the pre-hospital resuscitation of patients with non-compressible haemorrhage after penetrating injuries
Creators: name: Ter Avest, E.
name: Carenzo, L.
name: Lendrum, R. A.
name: Christian, M. D.
name: Lyon, R. M.
name: Coniglio, C.
name: Rehn, M.
name: Lockey, D. J.
name: Perkins, Z. B.
Publisher: name: BioMed Central
Year: 2022

description: Early haemorrhage control and minimizing the time to definitive care have long been the cornerstones of therapy for patients exsanguinating from non-compressible haemorrhage (NCH) after penetrating injuries, as only basic treatment could be provided on scene. However, more recently, advanced on-scene treatments such as the transfusion of blood products, resuscitative thoracotomy (RT) and resuscitative endovascular balloon occlusion of the aorta (REBOA) have become available in a small number of pre-hospital critical care teams. Although these advanced techniques are included in the current traumatic cardiac arrest algorithm of the European Resuscitation Council (ERC), published in 2021, clear guidance on the practical application of these techniques in the pre-hospital setting is scarce. This paper provides a scoping review on how these advanced techniques can be incorporated into practice for the resuscitation of patients exsanguinating from NCH after penetrating injuries, based on available literature and the collective experience of several helicopter emergency medical services (HEMS) across Europe who have introduced these advanced resuscitation interventions into routine practice. Graphical Abstract
Modélisation et prévision du prix du pétrole brut : approche ARMA-GARCH
Creators: name: FADLOULLAH ISSAM
name: BENBOUBKER MOUNIR
Publisher: name: Zenodo
Year: 2024

description: La modélisation du prix du pétrole est un domaine important de l'économétrie, qui a suscité beaucoup d'intérêt ces dernières années. Les modèles économétriques peuvent être utilisés pour analyser les tendances historiques des prix du pétrole, prédire les fluctuations futures des prix et évaluer les facteurs économiques, géopolitiques et environnementaux qui influencent les prix du pétrole.

Notre modèle GARCH avec une structure ARMA(1,2) pour la moyenne et une structure sGARCH(1,1) pour la variance a une performance moyenne pour la prévision des prix futurs du pétrole brute.
Parameters Estimation of HIV Dynamic Models
Creators: name: Rocha, Diana
name: Gouveia, Sónia
name: Pinto, Carla
name: Scotto, Manuel
name: Tavares, João Nuno
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: This work proposes an estimation method to obtain the optimal parameter estimates of a mathematical model, from a set of CD4+T values collected in a HIV patient. To this end, the following scheme is adopted: the first step consists in selecting an initial estimate for the model’s parameters as that having minimum square error, from a set of uniform randomly generated candidates. In the second step, the initial solution is refined by an optimization algorithm with constraints and bounds (imposed by physiology), resulting on the optimal estimate. The proposed method is validated through a simulation study and illustrated with an application to a real data set of CD4+T cells counts for several HIV patients.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
Testing Conditions and Estimating Parameters in Extreme Value Theory
Creators: name: Penalva, Helena
name: Prata Gomes, Dora
name: Manuela Neves, M.
name: Nunes, Sandra
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Extreme Value Theory has been asserting itself as one of the most important statistical theories for the applied sciences providing a solid theoretical basis for deriving statistical models describing extreme or even rare events. The efficiency of the inference and estimation procedures depends on the tail shape of the distribution underlying the data. In this work we will present a review of tests for assessing extreme value conditions and for the choice of the extreme value domain. Motivated by two real environmental problems we will apply those tests showing the need of performing such tests for choosing the most appropriate parameter estimation methods.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
title: Language Policy in Central Asia
Creators: name: Ismailova, Baktygul M.
Publisher: name: University of Massachusetts Amherst
Year: 2001
Subjects: subject: Policy
subject: Language
subject: Planning
subject: Asian republics
subject: Soviet Union
subject: History
subject: Lifestyle Patterns
subject: Schooling Practices
subject: Migration
subject: Bilingual, Multilingual, and Multicultural Education
subject: Education
subject: Law
subject: FOS: Law
subject: Other Education
subject: FOS: Educational sciences

description: This study addresses language policy and language planning in the five Central Asian republics, former constituents of the Soviet Union. Language issues became crucial after the breakdown of the Soviet system, which completely changed the linguistic environment in the region. The study discusses two main issues related to the language planning in central Asia. The first section of the project describes the history of the region before 1917, when lifestyle patterns divided Central Asian residents into two groups, nomads (Kyrgyz, Kazak and Turkmen) and sedentary peoples (Tajik and Uzbek). After a brief discussion of schooling practices in pre-Soviet Central Asia, the paper describes Soviet schooling practices and language policies after 191 7. Soviet national policy included alphabetic transformations and innovations as well. The post- Soviet language policy targets the introduction and use of native languages in schools, and organizations. The policies emphasize widespread teaching in native languages and their introduction in non-native primary and secondary schools. The study also describes how changes in the linguistic environment in the region affected the schooling practices in the region. All major stages oflanguage planning and construction in the region show that schools served as a laboratory for Soviet and post-Soviet experiments. The second section is devoted to exploration of the role of language in maintaining ethno-social stability in Central Asia. The section discusses in-migration and out-migration issues in the history of Central Asia. The intention is to explore whether the changes in the language use patterns cause in- and out-migration from the region.
Modeling Large Values of Systolic Blood Pressure in the Portuguese Population
Creators: name: Caetano, C. P.
name: De Zea Bermudez, P.
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: It has been well stated that high values of blood pressure constitute a risk factor for cardiovascular diseases [20], with the latter being the number one death cause in Portugal. The main interest of the present study is to model the high values of systolic blood pressure in the individuals of the population who are most at risk, i.e., the elderly. This group frequently suffers from a specific type of hypertension pathology, known as isolated systolic hypertension. With that purpose the Peaks Over Threshold methodology was applied, which consists in fitting a generalized Pareto distribution to the excesses above a sufficiently high threshold. The model will be able to estimate extreme quantiles and tail probabilities.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
An Inconvenient Truth:  A Documentary Film Where the Ethos, Logos, and Pathos All Depend on One Man
Creators: name: Booker, Dacey
Publisher: name: Maryland Shared Open Access Repository
Year: 2015
Subjects: An Inconvenient Truth
Al Gore
Cinema Studies

description: Part of the Outstanding Students' Essays in Cinema Studies Collection
description: _An Inconvenient Truth_, 2006’s Oscar-winning documentary on global warming, is arguably one of the most popular films of its kind in the last decade. Among the highest grossing documentaries of all time, the movie centers on former Vice President Al Gore traveling around America and giving a slideshow on climate change, with arguments surrounding its causes, how it’s not a myth (as some politicians would claim it is), and what can be done to try to stop it before it’s too late. Subtitled _A Global Warning_, the documentary’s main and most obvious goal is to arouse its audience with enough alarming information in order to get them to take action as soon as the end credits roll. But while many documentaries of this sort would center themselves around talking heads in order to make their points, _An Inconvenient Truth_ has no outside interviews, instead placing almost everything on the shoulders of Gore. “Just like the orator or public speaker who uses his entire body to give voice to a particular perspective,” Bill Nichols writes in his textbook _Introduction to Documentary_, “documentaries speak with all the means at their disposal.” (67) In the case of this film, however, the speaker is the documentary, mostly consisting of Gore giving an extended speech that he claims he’s given hundreds of time. In this sense, the movie bases the use of the so-called “Rhetorical Triangle” entirely on its central figure, using ethos, pathos and logos in order to make Gore into a figure that we as an audience can trust on the film’s subject matter.
EOSC Support Office Austria: Visions, needs and requirements for research data and practices. An interview with Josef Küng.
Creators: name: Flicker, Katharina
name: Küng, Josef
Publisher: name: Zenodo
Year: 2023
Subjects: access to data
equal access
data quality
quality checks
data integrity
trust

description: In 2015 the vision of a federated system of infrastructures supporting research by providing an open multi-disciplinary environment to publish, find and re-use data, tools and services led to the launch of the European Open Science Cloud (EOSC). Against this background, bodies such as the EOSC Association on the European level and the EOSC Support Office Austria on the national one have been established.

Within this framework and since research has always been at the heart of EOSC, we are eliciting visions, needs and requirements for research data and practices from researchers who are located at public universities in Austria. Let’s see what Computer Scientist Josef Küng has to say!
description: This upload includes an English as well as a German version of the interview. The interview was conducted in summer 2022.
D1.3 Communication and Dissemination Plan (CDP)
Creators: name: National Research Council
name: University of Palermo
Publisher: name: Zenodo
Year: 2024

description: The plan adapts the C&D strategy of RESILIENCE to ITSERR, guaranteeing a sound coordination on what, how, when and to whom is communicated to the Italian and European targeted audiences. It covers topics such as strategy for online communication, social media collaboration, face-to-face collaboration, conferences and workshops, feedback management, corporate design, tools, channels, touchpoints, monitoring, analytics and reporting.
STUDY OF CONCRETE SOLDIER PILE FAILURE AS A SUPPORTING SYSTEM IN BASEMENT EXCAVATION USING FINITE ELEMENT METHOD: THE CASE STUDY OF 23 – STORY BUILDING AT MEXICO SITE, ADDIS ABABA
Creators: name: DEMELASH WONDIMAGEGN
Publisher: name: Zenodo
Year: 2020

description: STUDY OF CONCRETE SOLDIER PILE FAILURE AS A 

SUPPORTING SYSTEM IN BASEMENT EXCAVATION USING 

FINITE ELEMENT METHOD: THE CASE STUDY OF 23 –

STORY BUILDING AT MEXICO SITE, ADDIS ABABA
Modeling Risk of Extreme Events in Generalized Verhulst Models
Creators: name: Brilhante, M. Fátima
name: Gomes, M. Ivette
name: Pestana, Dinis
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: A very popular model in population dynamics, which has been around since the first half of the nineteenth century, is the Verhulst logistic model. However, some limitations of this model have provided grounds to propose more sophisticated growth models using, for instance, the former as a basis. Since the Verhulst model and some generalizations of it are closely connected to extreme value distributions, either max-geometric-stable or max-stable, we show that the parameter attached to the retroaction factor of these generalized models establishes, on its own, which extreme value distribution is adequate to model risks of extreme events in population dynamics.
description: REVSTAT-Statistical Journal, Vol. 17 No. 2 (2019): REVSTAT-Statistical Journal
Integrated Functional Weissman Estimator for Conditional Extreme Quantiles
Creators: name: Gardes, Laurent
name: Stupfler, Gilles
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: It is well-known that estimating extreme quantiles, namely, quantiles lying beyond the range of the available data, is a nontrivial problem that involves the analysis of tail behavior through the estimation of the extreme-value index. For heavy-tailed distributions, on which this paper focuses, the extreme-value index is often called the tail index and extreme quantile estimation typically involves an extrapolation procedure. Besides, in various applications, the random variable of interest can be linked to a random covariate. In such a situation, extreme quantiles and the tail index are functions of the covariate and are referred to as conditional extreme quantiles and the conditional tail index, respectively. The goal of this paper is to provide classes of estimators of these quantities when there is a functional (i.e. possibly infinite-dimensional) covariate. Our estimators are obtained by combining regression techniques with a generalization of a classical extrapolation formula. We analyze the asymptotic properties of these estimators, and we illustrate the finite-sample performance of our conditional extreme quantile estimator on a simulation study and on a real chemometric data set.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Using Shrinkage Estimators to Reduce Bias and MSE in Estimation of Heavy Tails
Creators: name: Beirlant, Jan
name: Maribe, Gaonyalelwe
name: Verster, Andréhette
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Bias reduction in tail estimation has received considerable interest in extreme value analysis. Estimation methods that minimize the bias while keeping the mean squared error (MSE) under control, are especially useful when applying classical methods such as the Hill (1975) estimator. In the case of heavy tailed distributions, Caeiro et al. (2005) proposed minimum variance reduced bias estimators of the extreme value index, where the bias is reduced without increasing the variance with respect to the Hill estimator. This method is based on adequate external estimation of a pair of parameters of second order slow variation under a third order condition. Here we revisit this problem exploiting the mathematical fact that the bias tends to 0 with increasing threshold. This leads to shrinkage estimation for the extreme value index, which allows for a penalized likelihood and a Bayesian implementation. This new approach is applied starting from the approximation to excesses over a high threshold using the extended Pareto distribution, as developed in Beirlant et al. (2009). We present asymptotic results for the resulting shrinkage penalized likelihood estimator of the extreme value index. Finite sample simulation results are proposed both for the penalized likelihood and Bayesian implementation. We then compare with the minimum variance reduced bias estimators.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Stochastic Inequalities for the Run Length of the EWMA Chart for Long-Memory Processes
Creators: name: Okhrin, Yarema
name: Schmid, Wolfgang
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In this paper the properties of the modified EWMA control chart for detecting changes in the mean of an ARFIMA process are discussed. The central question is related to the false alarm probability and its behavior for different autocorrelation structures and parameters of the underlying process. It is shown under which conditions the false alarm probability of an ARFIMA(p,d,q) process is larger than that of the pure ARFIMA(0,d,0) process. Furthermore, it is shown that the false alarm probability for ARFIMA(0,d,0) and ARFIMA(1,d,1) is monotonic in d for common parameter values of the processes.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Random Environment INAR Models of Higher Order
Creators: name: S. Nastić, Aleksandar
name: N. Laketa, Petra
name: M. Ristić, Miroslav
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: Two different random environment INAR models of higher order, RrNGINARmax(p) and RrNGINAR1(p), are introduced. Both of them are of variable order, which is not a random variable. Each step order is defined using the random environment process. Properties of the defined models are analyzed in parallel. The conditional expectation and variance are calculated. The strongly consistent Yule-Walker estimators are defined and new modified estimators are given. Models are applied to the simulated and the real-life data and the results show benefits of the introduced models.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Design Points for a Rotatable Orthogonal Central Composite Design
Creators: name: P. Kitsos, Christos
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: The aim of this paper is to adjust the existing believe on the condition that a Rotatable Orthogonal Central Composite Design can be created from an Orthogonal Central Composite Design. Therefore the appropriate introduction is discussed concerning the Rotatable Orthogonal Central Composite Design. Then, the main result is presented, i.e. The necessary and sufficient conditions in order an Orthogonal Central Composite Design to be Rotatable.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Some Monitoring Procedures Related to Asymmetry Parameter of Azzalini’s Skew-Normal Model
Creators: name: Li, Chenglong
name: Mukherjee, Amitava
name: Su, Qin
name: Xie, Min
Publisher: name: REVSTAT-Statistical Journal
Year: 2019

description: In the real world, we often observe that the underlying distribution of some Gaussian processes tends to become skewed, when some undesirable assignable cause takes place in the process. Such phenomena are common in the field of manufacturing and in chemical industries, among others, where a process deviates from a normal model and becomes a skew-normal. The Azzalini’s skew-normal (hereafter ASN) distribution is a well-known model for such processes. In other words, we assume that the in-control (hereafter IC) distribution of the process under consideration is normal, that is a special case of the ASN model with asymmetry parameter zero, whereas the out-of-control (hereafter OOC) process distribution is ASN with any nonzero asymmetry parameter. In the ASN model, a change in asymmetry parameter also induces shifts in both the mean and variance, even if, both the location and scale parameters remain invariant. Traditionally, researchers consider a shift either in the mean or in variance or in both the parameters of the normal distribution. Some inference and monitoring issues related to deviation from symmetry are essential problems that are largely overlooked in literature. To this end, we propose various test statistics and design for sequential monitoring schemes for the asymmetry parameter of the ASN model. We examine and compare the performance of various procedures based on an extensive Monte-Carlo experiment. We provide an illustration based on an interesting manufacturing case study. We also offer some concluding remarks and future research problems.
description: REVSTAT-Statistical Journal, Vol. 17 No. 1 (2019): REVSTAT-Statistical Journal
Spatio-Temporal Analysis of Regional Unemployment Rates
Creators: name: Pereira, Soraia
name: Turkman, Feridun
name: Correia, Luís
Publisher: name: REVSTAT-Statistical Journal
Year: 2018

description: This study aims to analyze the methodologies that can be used to estimate the total number of unemployed, as well as the unemployment rates for 28 regions of Portugal, designated as NUTS III regions, using model based approaches as compared to the direct estimation methods currently employed by INE (National Statistical Institute of Portugal). Model based methods, often known as small area estimation methods (Rao, 2003), “borrow strength” from neighbouring regions and in doing so, aim to compensate for the small sample sizes often observed in these areas. Consequently, it is generally accepted that model based methods tend to produce estimates which have lesser variation. Other benefit in employing model based methods is the possibility of including auxiliary information in the form of variables of interest and latent random structures. This study focuses on the application of Bayesian hierarchical models to the Portuguese Labor Force Survey data from the 1st quarter of 2011 to the 4th quarter of 2013. Three different data modeling strategies are considered and compared: Modeling of the total unemployed through Poisson, Binomial and Negative Binomial models; modeling of rates using a Beta model; and modeling of the three states of the labor market (employed, unemployed and inactive) by a Multinomial model. The implementation of these models is based on the Integrated Nested Laplace Approximation (INLA) approach, except for the Multinomial model which is implemented based on the method of Monte Carlo Markov Chain (MCMC). Finally, a comparison of the performance of these models, as well as the comparison of the results with those obtained by direct estimation methods at NUTS III level are given.
description: REVSTAT-Statistical Journal, Vol. 16 No. 4 (2018): REVSTAT-Statistical Journal
RResolver: efficient short-read repeat resolution within ABySS
Creators: name: Nikolić, Vladimir
name: Afshinfard, Amirhossein
name: Chu, Justin
name: Wong, Johnathan
name: Coombe, Lauren
name: Nip, Ka Ming
name: Warren, René L.
name: Birol, Inanc
Publisher: name: BioMed Central
Year: 2022

description: Background De novo genome assembly is essential to modern genomics studies. As it is not biased by a reference, it is also a useful method for studying genomes with high variation, such as cancer genomes. De novo short-read assemblers commonly use de Bruijn graphs, where nodes are sequences of equal length k, also known as k-mers. Edges in this graph are established between nodes that overlap by $$k - 1$$ k - 1 bases, and nodes along unambiguous walks in the graph are subsequently merged. The selection of k is influenced by multiple factors, and optimizing this value results in a trade-off between graph connectivity and sequence contiguity. Ideally, multiple k sizes should be used, so lower values can provide good connectivity in lesser covered regions and higher values can increase contiguity in well-covered regions. However, current approaches that use multiple k values do not address the scalability issues inherent to the assembly of large genomes. Results Here we present RResolver, a scalable algorithm that takes a short-read de Bruijn graph assembly with a starting k as input and uses a k value closer to that of the read length to resolve repeats. RResolver builds a Bloom filter of sequencing reads which is used to evaluate the assembly graph path support at branching points and removes paths with insufficient support. RResolver runs efficiently, taking only 26 min on average for an ABySS human assembly with 48 threads and 60 GiB memory. Across all experiments, compared to a baseline assembly, RResolver improves scaffold contiguity (NGA50) by up to 15% and reduces misassemblies by up to 12%. Conclusions RResolver adds a missing component to scalable de Bruijn graph genome assembly. By improving the initial and fundamental graph traversal outcome, all downstream ABySS algorithms greatly benefit by working with a more accurate and less complex representation of the genome. The RResolver code is integrated into ABySS and is available at https://github.com/bcgsc/abyss/tree/master/RResolver .