cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Sulphite addition during steam pretreatment enhanced both enzyme-mediated cellulose hydrolysis and ethanol production
Creators: name: Zhong, Na
name: Chandra, Richard
name: Yamamoto, Minna
name: Leskinen, Timo
name: Granström, Tom
name: Saddler, J. N. (John N.), 1953-
Publisher: name: The University of British Columbia
Year: 2022

description: Abstract: Sulphite addition during steam pretreatment of softwoods under acidic, neutral and alkaline conditions was assessed to try to minimize lignin condensation. Although pretreatment under neutral/alkaline conditions resulted in effective lignin sulphonation, non-uniform size reduction was observed. In contrast, acidic sulphite steam treatment at 210 °C for 10 min resulted in homogenous particle size reduction and water-insoluble component that was 62% carbohydrate and 33% lignin. This carbohydrate-rich substrate was readily hydrolyzed and fermented which indicated the lack of fermentation inhibitors in the steam-pretreated whole slurry. The use of high solid loading (25% w/v) resulted in a hydrolysis yield of 58% at an enzyme loading of 40 mg protein/g glucan and efficient fermentation (46.6 g/L of ethanol). This indicated that the addition of acidic sulphite at the steam pretreatment of softwoods improved both the enzymatic hydrolysis and fermentation of steam-pretreated whole slurries.
HORIZONTAL SUBSURFACE CONSTRUCTED WETLAND FOR REMOVAL OF HEAVY METALS FROM LEACHATE USING Phragmites australis (A Case of Addis Ababa Solid Waste Open Dump)
Creators: name: Mesele Bahre Abrha
Publisher: name: Zenodo
Year: 2013

description: HORIZONTAL SUBSURFACE CONSTRUCTED WETLAND FOR REMOVAL 

OF HEAVY METALS FROM LEACHATE USING Phragmites australis 

 (A Case of Addis Ababa Solid Waste Open Dump)
Noncentral Generalized Multivariate Beta Type II Distribution
Creators: name: Adamski, K.
name: Human, S.W.
name: Bekker, A.
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: The distribution of the variables that originates from monitoring the variance when the mean encountered a sustained shift is considered — specifically for the case when measurements from each sample are independent and identically distributed normal random variables. It is shown that the solution to this problem involves a sequence of dependent random variables that are constructed from independent noncentral chisquared random variables. This sequence of dependent random variables are the key to understanding the performance of the process used to monitor the variance and are the focus of this article. For simplicity, the marginal (i.e. the univariate and bivariate) distributions and the joint (i.e. the trivariate) distribution of only the first three random variables following a change in the variance is considered. A multivariate generalization is proposed which can be used to calculate the entire run-length (i.e. the waiting time until the first signal) distribution.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal
Intérêts nationaux et moralité dans les politiques étrangères des États-Unis et de la Chine au sujet de la mer de Chine méridionale: une perspective comparative
Creators: name: Le, Thi Ngoc Han
Publisher: name: Université Saint-Paul / Saint Paul University
Year: 2022
Subjects: politiques étrangères, Chine, États-Unis, mer de Chine méridionale, moralité, intérêts nationaux

description: Au sein des disputes de souveraineté territoriale en mer de Chine méridionale (MCM), la Chine et les États-Unis émergent comme les acteurs importants en exerçant des influences considérables, même quand les États-Unis ne s'y impliquent pas comme une partie revendiquante. Comme la MCM occupe une place majeure dans la stratégie de ces deux premières grandes puissances mondiales, leurs politiques étrangères vis-à-vis de la MCM sont pris pour une étude de cas dans l'objectif d'évaluer la manière dont ces deux États considèrent la question morale par rapport à la question d'intérêts nationaux, dans une démarche comparative. Sous l'angle du réalisme modéré et de la théorie de soft power, nous constatons que les deux États, en mettant en première priorité leurs intérêts nationaux, prennent également en considération la moralité dans leurs politiques étrangères. Toutefois, leurs considérations morales sont bien à la limite, dans le sens où la question morale n'est qu'instrumentale pour leurs politiques étrangères. Parmi les deux États, la Chine fait preuve d'une faiblesse relative dans les considérations morales, à cause d'une énorme différence entre ses discours et ses actions en MCM. De leur part, les États-Unis se montrent plus cohérents. Si les valeurs morales et les intérêts américains se coïncident en cas de la MCM, la poursuite des valeurs morales de la Chine porte atteinte aux intérêts nationaux qu'elle définit dans cette mer. En comparant le cas chinois et américain, chacun, en déclarant tous considérer la moralité, a ainsi sa propre moralité. Dans le cas étatsunien, il s’agit d’une moralité équilibrée, tandis que la Chine est définie par une moralité controversée.
Nonparametric Estimation of the Tail-Dependence Coefficient
Creators: name: Ferreira, Marta
Publisher: name: REVSTAT-Statistical Journal
Year: 2013

description: A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal distribution functions. The finite-sample behavior as well as robustness will be assessed through simulation. Although it has a good performance, it is sensitive to the extreme value dependence assumption. We shall see that a block maxima procedure might improve the estimation. This will be illustrated through simulation. An application to financial data shall be presented at the end.
description: REVSTAT-Statistical Journal, Vol. 11 No. 1 (2013): REVSTAT-Statistical Journal
Supplementary document for Endoscopic en-face optical coherence tomography and fluorescence imaging using correlation-based probe tracking - 5506461.pdf
Creators: name: Marques, Manuel
name: Hughes, Michael
name: Uceda, Adrian Fernandez
name: Gelikonov, Grigory
name: Bradu, Adrian
name: Podoleanu, Adrian
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: subject: Biomedical Instrumentation
subject: Optical Technology
subject: Computer Software
subject: FOS: Computer and information sciences

description: Supplementary information on algorithms employed for the assembly of volumes and en-face images
Estimating of the Proportional Hazard Premium for Heavy-Tailed Claim Amounts with the Pot Method
Creators: name: Abdelaziz, Rassoul
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: In this paper we propose a new estimator of the proportional hazard premium for heavy-tailed claim amounts, with a help of the peak-over-threshold (POT) method. We establish the asymptotic normality of the new estimator, and its performance is illustrated in a simulation study. Moreover, we compare, in terms of bias and mean squared error, our estimator with the estimator of Necir and Meraghni (2009).
description: REVSTAT-Statistical Journal, Vol. 10 No. 3 (2012): REVSTAT-Statistical Journal
Waterman_AJPEndo2024_SupplementalMaterials.pdf
Creators: name: Waterman, Hannah
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 310909
subject: Animal physiology - cell
classificationCode: 310910
subject: Animal physiology - systems
classificationCode: 310912
subject: Comparative physiology

description: Supplemental materials for "Duration of Morning Hyperinsulinemia Determines Hepatic Glucose Uptake and Glycogen Storage Later in the Day", submitted to AJP Endo 2024.
Supplementary document for Endoscopic en-face optical coherence tomography and fluorescence imaging using correlation-based probe tracking - 5506461.pdf
Creators: name: Marques, Manuel
name: Hughes, Michael
name: Uceda, Adrian Fernandez
name: Gelikonov, Grigory
name: Bradu, Adrian
name: Podoleanu, Adrian
Publisher: name: Optica Publishing Group
Year: 2022
Subjects: subject: Biomedical Instrumentation
subject: Optical Technology
subject: Computer Software
subject: FOS: Computer and information sciences

description: Supplementary information on algorithms employed for the assembly of volumes and en-face images
Multi-Channel Vision Transformer for Epileptic Seizure Prediction
Creators: name: Hussein, Ramy
name: Lee, Soojin
name: Ward, Rabab Kreidieh
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2022

description: Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of awareness. Around 30% of epileptic patients continue to have seizures despite taking anti-seizure medication. The ability to predict the future occurrence of seizures would enable the patients to take precautions against probable injuries and administer timely treatment to abort or control impending seizures. In this study, we introduce a Transformer-based approach called Multi-channel Vision Transformer (MViT) for automated and simultaneous learning of the spatio-temporal-spectral features in multi-channel EEG data. Continuous wavelet transform, a simple yet efficient pre-processing approach, is first used for turning the time-series EEG signals into image-like time-frequency representations named Scalograms. Each scalogram is split into a sequence of fixed-size non-overlapping patches, which are then fed as inputs to the MViT for EEG classification. Extensive experiments on three benchmark EEG datasets demonstrate the superiority of the proposed MViT algorithm over the state-of-the-art seizure prediction methods, achieving an average prediction sensitivity of 99.80% for surface EEG and 90.28–91.15% for invasive EEG data.
title: Farming Systems in Southern Mali: How to Improve Small Farmers’ Management Behaviors
Creators: name: Kone, Amadou Mamou
Publisher: name: University of Massachusetts Amherst
Year: 1984
Subjects: subject: Interviews
subject: Southern Mali
subject: Farming
subject: Farmers
subject: Improve
subject: Management Behaviors
subject: Crop Production
subject: Resources
subject: West Africa
subject: Rural
subject: Operation High Valley (OHV)
subject: Agricultural Economics
subject: Agriculture
subject: Bilingual, Multilingual, and Multicultural Education
subject: Education
subject: Educational Assessment, Evaluation, and Research
subject: Education Economics

description: The study aims at designing a need analysis methodology and a curriculum that deals with the decision making process of small farmers in allocates resources cultural production. The research will be implemented in the Operation H Valley (OHV) and with food crop production. The samples under study concern 33 households 4 different villages. The focus of study was the actual reactions (behaviors) of farmers in terms of decisions made; actions undertaken and the consequences of the actions with regard to three factors: the input supply system (credit system and extension activities), the market system, and the farmers individual goals and expectations. The study attempted: - first, to establish the discrepancy that exists between the production decision making schemes as proposed by OHV (through the and market systems) and the actual decision making process followed by the farmers: - second, to identify the causes of this discrepancy, - third, to propose a curriculum to deal with the discrepancy, The final outputs of the study will be (1) the draft of a need analysis methodology to achieve the curriculum ) and (2) the design of the curriculum.
Cerebellar Differences after Rehabilitation in Children with Developmental Coordination Disorder
Creators: name: Gill, Kamaldeep
name: Lang, Donna J.
name: Zwicker, Jill G.
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2022

description: Developmental coordination disorder (DCD) affects a child’s ability to learn motor skills. Cognitive Orientation to daily Occupational Performance (CO-OP) is one of the recommended treatments to help achieve functional motor goals. The purpose of this study was to determine if CO-OP intervention induces functional improvements and structural changes in the cerebellum of children with DCD. Using a randomized waitlist-controlled trial, we investigated the effects of CO-OP intervention on cerebellar volume in 47 children with DCD (8–12 years old). Outcome measures included the Canadian Occupational Performance Measure, Performance Quality Rating Scale (PQRS), and Bruininks–Oseretsky Test of Motor Proficiency-2. The SUIT toolbox was used to carry out voxel-based morphometry using T1-weighted MRI scans. Children with DCD showed improved motor outcomes and increased gray matter volume in the brainstem, right crus II, bilateral lobules VIIIb, and left lobule IX following CO-OP. Significant associations were found between PQRS scores and regional gray matter changes in the brainstem, right crus II, right lobule VIIb, right and left lobule VIIIb, and vermis IX. Given the improved motor and brain outcomes with CO-OP, it is recommended that children with DCD be referred for this rehabilitation intervention.
Regular A-optimal Spring Balance Weighing Designs
Creators: name: Graczyk, Małgorzata
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: The problem of indicating an A-optimal spring balance weighing design providing that the measurement errors have different variances and are uncorrelated is considered. The lowest bound of the trace of the inverse information matrix is given and the conditions determining the optimal design are also presented. The incidence matrices of balanced incomplete block designs and group divisible designs are used in constructions of the regular A-optimal spring balance weighing design.
description: REVSTAT-Statistical Journal, Vol. 10 No. 3 (2012): REVSTAT-Statistical Journal
Inferences for the Change-Point of The Exponentiated Weibull Hazard Function
Creators: name: Mazucheli, Josmar
name: Coelho-Barros, Emílio Augusto
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: In many applications of lifetime data analysis, it is important to perform inferences about the change-point of the hazard function. The change-point could be a maximum for unimodal hazard functions or a minimum for bathtub forms of hazard functions and is usually of great interest in medical or industrial applications. For lifetime distributions where this change-point of the hazard function can be analytically calculated, its maximum likelihood estimator is easily obtained from the invariance properties of the maximum likelihood estimators. From the asymptotical normality of the maximum likelihood estimators, confidence intervals can also be obtained. Considering the exponentiated Weibull distribution for the lifetime data, we have different forms for the hazard function: constant, increasing, unimodal, decreasing or bathtub forms. This model gives great flexibility of fit, but we do not have analytic expressions for the change-point of the hazard function. In this way, we consider the use of Markov Chain Monte Carlo methods to get posterior summaries for the change-point of the hazard function considering the exponentiated Weibull distribution.
description: REVSTAT-Statistical Journal, Vol. 10 No. 3 (2012): REVSTAT-Statistical Journal
Small Area Estimation Using a Spatio-Temporal Linear Mixed Model
Creators: name: Pereira, Luís N.
name: S. Coelho, Pedro
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects. An empirical best linear unbiased predictor (EBLUP) for small area parameters has been obtained under the proposed model. Using previous research in this area, analytical and bootstrap estimators of the mean squared prediction error (MSPE) of the EBLUP have also been worked out. An extensive simulation study using time-series and cross-sectional data was undertaken to compare the efficiency of the proposed EBLUP estimator over other well-known EBLUP estimators and to study the properties of the proposed estimators of MSPE.
description: REVSTAT-Statistical Journal, Vol. 10 No. 3 (2012): REVSTAT-Statistical Journal
Nonparametric Estimates of Low Bias
Creators: name: S. Withers, Christopher
name: Nadarajah, Saralees
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: We consider the problem of estimating an arbitrary smooth functional of k ≥ 1 distribution functions (d.f.s) in terms of random samples from them. The natural estimate replaces the d.f.s by their empirical d.f.s. Its bias is generally ∼ n−1 , where n is the minimum sample size, with a pth order iterative estimate of bias ∼ n−p for any p. For p ≤ 4, we give an explicit estimate in terms of the first 2p−2 von Mises derivatives of the functional evaluated at the empirical d.f.s. These may be used to obtain unbiased estimates, where these exist and are of known form in terms of the sample sizes; our form for such unbiased estimates is much simpler than that obtained using polykays and tables of the symmetric functions. Examples include functions of a mean vector (such as the ratio of two means and the inverse of a mean), standard deviation, correlation, return times and exceedances. These pth order estimates require only ∼ n calculations. This is in sharp contrast with computationally intensive bias reduction methods such as the p th order bootstrap and jackknife, which require ∼ np calculations.
description: REVSTAT-Statistical Journal, Vol. 10 No. 2 (2012): REVSTAT-Statistical Journal
Comparison of Confidence Intervals for the Poisson Mean
Creators: name: Patil, V.V.
name: Kulkarni, H.V.
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: We perform a comparative study among nineteen methods of interval estimation of the Poisson mean, in the intervals (0,2), [2,4] and (4,50], using as criteria coverage, expected length of confidence intervals, balance of noncoverage probabilities, E(P-bias) and E(P-confidence). The study leads to recommendations regarding the use of particular methods depending on the demands of a particular statistical investigation and prior judgment regarding the parameter value if any.
description: REVSTAT-Statistical Journal, Vol. 10 No. 2 (2012): REVSTAT-Statistical Journal
The Practice of Practice 2: research in the medium of design
Creators: name: van Schaik, Leonardus
name: Spooner, Michael
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 330102
subject: Architectural design

description: RESEARCH BACKGROUND
The Practice of Practice 2 continues the series of publications documenting the design research practice of the invitational research program in the School of Architecture + Design at RMIT University. This publication includes excerpts from the work of eighteen architects: Scott Balmforth, Gerard Reinmuth, Sara Cole, Riet Eeckhout, Ephraim Joris, Brian Donovan, Timothy Hill, Nikki Kalms, Michael Patroni, M3Architecture, Robert Simeoni, Leign Woolly, Adrian Iredale, Finn Pedersen, Robert Morris Nunn, Dale Jones-Evans, Roger Wood and Randal Marsh.

RESEARCH CONTRIBUTION
This publication advances and presents further evidence about the design practices of architects and practitioner academics. It considers the wealth of knowledge production inherent in other modes thinking and doing that comes to encapsulate what it is that architecture may offer by way of its own practices. Central to this has been the reflections, through the invitational stream, of individual practitioners both locally and globally.

RESEARCH SIGNIFICANCE
The value of the project is distinguished by the continual examination of practice models, evidenced by all five publications that compose the invitational stream thus far. This series includes Fin de Siecle? (1993), Transfiguring the Ordinary (1995), Interstitial Modernism (2000), and the Practice of Practice (2003). The fifth publication, The Practice of Practice 2, distinguishes itself by increasing the awareness of the role of the discipline of architecture in the production of new knowledge, and more specifically identifying the scope by which research via the medium of design may open itself to ongoing reflection and examination.
Extreme Value Version of The Birnbaum–Saunders Distribution
Creators: name: Ferreira, Marta
name: Gomes, M. Ivette
name: Leiva, Víctor
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: The Birnbaum–Saunders model is a life distribution originated from a problem of material fatigue that has been largely studied and applied in recent decades. A random variable following the Birnbaum–Saunders distribution can be stochastically represented by another random variable used as basis. Then, the Birnbaum–Saunders model can be generalized by switching the distribution of the basis variable using diverse arguments allowing to construct more general classes of models. Extreme value distributions are useful to determinate the probability of events that are larger or smaller than others previously observed. In this paper, we propose, characterize, implement and apply an extreme value version of the Birnbaum–Saunders distribution.
description: REVSTAT-Statistical Journal, Vol. 10 No. 2 (2012): REVSTAT-Statistical Journal
Monte Carlo Test for Polynomial Covariates
Creators: name: Farhat, Abdeljelil
name: Mestiri, Sami
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: In this paper, we review the score test procedure used for testing polynomial covariate effects in a semi parametric additive mixed model. This test is based on the mixed model representation of the smoothing spline estimator of the nonparametric function and treating the inverse of the smoothing parameter as an extra variance component. Zhang and Lin (2003) found that the score test of polynomial test for non Gaussian responses follows a scaled chi-squared distribution. Simulation studies showed that their approximation is less satisfactory for binary data. To overcome this deficiency, we apply the technique of Monte Carlo in order to obtain provably exact procedures. Derivation and performance of each testing procedure are discussed throughout the simulations that we conducted.
description: REVSTAT-Statistical Journal, Vol. 10 No. 2 (2012): REVSTAT-Statistical Journal
Buffalo concussion treadmill test: is it relevant in an adult, non-sports population?
Creators: name: Wilhelm, Jennifer
name: Antonellis, P
name: Campbell, KR
name: Chesnutt, JC
name: King, LA
Publisher: name: Oregon Health and Science University
Year: 2024
Subjects: subject: Adolescent
subject: Adult
subject: Brain Concussion
subject: Bicycling
subject: Body Mass Index
subject: Exercise Test
subject: Exercise Tolerance
subject: Heart Rate
subject: Physical Exertion
subject: Demography
subject: FOS: Sociology

description: The Buffalo Concussion Treadmill Test (BCTT) was developed to determine exercise tolerance in mild traumatic brain injury (mTBI). Research has been primarily focused on sports related (72%), adolescent (60%) and acute (56%) mTBI, which does not align with the diverse population seen in clinic. The goal of this study was to explore exercise intolerance with the BCTT in a non-sports related, adult, subacute mTBI population.
Survey of Spatial Extremes
Creators: name: Cooley, Daniel
name: Cisewski, Jessi
name: Erhardt, Robert J.
name: Mannshardt, Elizabeth
name: Jeon, Soyoung
name: Oguna Omolo, Bernard
name: Sun, Ying
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: We survey the current practice of analyzing spatial extreme data, which lies at the intersection of extreme value theory and geostatistics. Characterizations of multivariate max-stable distributions typically assume specific univariate marginal distributions, and their statistical applications generally require capturing the tail behavior of the margins and describing the tail dependence among the components. We review current methodology for spatial extremes analysis, discuss the extension of the finite-dimensional extremes framework to spatial processes, review spatial dependence metrics for extremes, survey current modeling practice for the task of modeling marginal distributions, and then examine max-stable process models and copula approaches for modeling residual spatial dependence after accounting for marginal effects.
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
Simulating effluent organic matter competition in micropollutant adsorption onto activated carbon using a surrogate competitor
Creators: name: Dittmar, Stefan
name: Zietzschmann, Frederik
name: Ruhl, Aki Sebastian
name: Mai, Maike
Publisher: name: My University
Year: 2018

description: Adsorption onto activated carbon is a promising option for removing organic micropollutants (OMPs) from wastewater treatment plant (WWTP) effluents. The heterogeneity of activated carbons and adsorption competition between OMPs and adsorbable compounds of the effluent organic matter (EfOM) complicate the prediction of OMP removals. Thus, reliable and simple test systems are desirable. For this study, batch experiments with powdered activated carbon (PAC) were carried out to examine methyl orange (MO) as a selected surrogate competitor to simulate EfOM adsorption competition. MO solutions were spiked with carbamazepine (CBZ) as an indicator substance for well-adsorbing OMPs. On the basis of CBZ adsorption isotherms in WWTP effluents, MO concentrations for batch test solutions with identical adsorption competition toward CBZ were calculated. The calculations were performed according to an empirical model of CBZ adsorption in the presence of MO, since predictions employing the ideal adsorbed solution theory (IAST) proved to be inaccurate. Comparative batch tests with five different PACs were conducted with WWTP effluent and respective MO batch test solutions. Except for one PAC, the achieved CBZ removals were very similar in WWTP effluent and the test solution. Additionally, a universal correlation between MO and CBZ removals was found for four PACs. Quelle: https://pubs.acs.org/
Modelling Time Series Extremes
Creators: name: Chavez-Demoulin, V.
name: Davison, A.C.
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: The need to model rare events of univariate time series has led to many recent advances in theory and methods. In this paper, we review telegraphically the literature on extremes of dependent time series and list some remaining challenges.
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
Bivariate Extreme Statistics, II
Creators: name: De Carvalho, Miguel
name: Ramos, Alexandra
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: We review the current state of statistical modeling of asymptotically independent data. Our discussion includes necessary and sufficient conditions for asymptotic independence, results on the asymptotic independence of statistics of interest, estimation and inference issues, joint tail modeling, and conditional approaches. For each of these topics we give an account of existing approaches and relevant methods for data analysis and applications.
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
Machine Learning for Enhanced Regional Seismic Risk Assessments
Creators: name: Kourehpaz, Pouria
name: Molina Hutt, Carlos
Publisher: name: The University of British Columbia
Year: 2024

description: The ability to conduct accurate regional seismic risk assessments is key to informing a risk-reduction policy and fostering community resilience. This paper presents a machine learning-based framework to predict a building’s postearthquake damage state using structural properties and ground motion intensity measures as model inputs. The machine learning techniques assessed, namely, logistic regression, k-nearest neighbors, decision tree, random forest, AdaBoost, and gradient boosting, are trained using a dataset of nonlinear response history analysis results from 36 detailed structural models of modern reinforced concrete shear wall buildings ranging from four to 24 stories and subjected to approximately 500 ground motion records with a range of shaking intensities. The results indicate that the gradient boosting classifier is the most efficient algorithm by achieving a prediction success (F1-score) of 87%. The proposed framework also leverages synthetic data samples to support the prediction of severe damage state instances, that is, collapse. The percentage of observed collapse cases correctly classified by the gradient boosting algorithm is increased from 76% to 93% when synthetic data are also used for training. The framework is implemented in a portfolio of reinforced concrete shear wall buildings across the Metro Seattle region to quantify earthquake-induced damage and collapse risk. The framework shows great potential for enhancing regional seismic risk assessments by leveraging datasets of detailed nonlinear response history analysis results.
Max-Stable Models for Multivariate Extremes
Creators: name: Segers, Johan
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: Multivariate extreme-value analysis is concerned with the extremes in a multivariate random sample, that is, points of which at least some components have exceptionally large values. Mathematical theory suggests the use of max-stable models for univariate and multivariate extremes. A comprehensive account is given of the various ways in which max-stable models are described. Furthermore, a construction device is proposed for generating parametric families of max-stable distributions. Although the device is not new, its role as a model generator seems not yet to have been fully exploited.
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
Supplementary document for Sparse-aperture Photonics-integrated Interferometer (SPIN) Imaging System: Structural Design and Imaging Quality Analysis - 5506548.pdf
Creators: name: Chen, Tianbao
name: Zeng, Xuefeng
name: Bai, Yingying
name: Zhang, Zhiyu
name: wang, yongjin
name: Zhang, Feng
name: Zhang, Xuejun
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: derivation of imaging principle
Review of Extreme Value Threshold Estimation and Uncertainty Quantification
Creators: name: Scarrott, Carl
name: MacDonald, Anna
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: The last decade has seen development of a plethora of approaches for threshold estimation in extreme value applications. From a statistical perspective, the threshold is loosely defined such that the population tail can be well approximated by an extreme value model (e.g., the generalised Pareto distribution), obtaining a balance between the bias due to the asymptotic tail approximation and parameter estimation uncertainty due to the inherent sparsity of threshold excess data. This paper reviews recent advances and some traditional approaches, focusing on those that provide quantification of the associated uncertainty on inferences (e.g., return level estimation).
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
The origin of chemical complexity from cm to mm: in the heart of young forming planetary system
Creators: name: De Simone, Marta
Publisher: name: Zenodo
Year: 2025

description: The earliest phases of planetary system formation are marked by a fascinating and intricate chemistry, with a high abundance of prebiotic molecules detected in protostellar environments. This chemical complexity serves as a crucial diagnostic tool to understand the underlying physical processes shaping these nascent systems, and to probe the chemical evolution from prestellar core to more evolved disks. Indeed, part of the chemical processing happening during the prestellar and protostellar phase may affect later stages of evolution. For example, the observed diversity in the large variety of exoplanets detected so far, can be the result of a diversity already present at the early stages of their formation. One of the striking results of the past years is the chemical diversity revealed in Sun-like protostars. Indeed, from a chemical point of view protostars differs from each other: some of them show millimetric molecular spectra rich in interstellar organic complex molecules (the so called hot corinos), and some others are enriched of unsaturated small carbon chains (the so called WCCC sources). The origin of this diversity is still unclear, as well as its impact on the chemical composition of future forming planets. In this talk, I will review the observational efforts carried out in the past years to chemically characterize the inner regions of Solar-system analogs. I will summarize the current understanding of the molecular complexity from large prestellar cores to compact protoplanetary disks, with emphasis on the origin of the molecular differentiation observed in protostars.
Overview and Open Research Topics in Statistics of Univariate Extremes
Creators: name: Beirlant, Jan
name: Caeiro, Frederico
name: Gomes, M. Ivette
Publisher: name: REVSTAT-Statistical Journal
Year: 2012

description: This review paper focuses on statistical issues arising in modeling univariate extremes of a random sample. In the last three decades there has been a shift from the area of parametric statistics of extremes, based on probabilistic asymptotic results in extreme value theory, towards a semi-parametric approach, where the estimation of the right and/or left tail-weight is performed under a quite general framework. But new parametric models can still be of high interest for the analysis of extreme events, if associated with appropriate statistical inference methodologies. After a brief reference to Gumbel’s classical block methodology and later improvements in the parametric framework, we present an overview of the developments on the estimation of parameters of extreme events and testing of extreme value conditions under a semi-parametric framework, and discuss a few challenging open research topics.
description: REVSTAT-Statistical Journal, Vol. 10 No. 1 (2012): REVSTAT-Statistical Journal
New Perspectives on the Role of Integrin-Linked Kinase (ILK) Signaling in Cancer Metastasis
Creators: name: McDonald, Paul C.
name: Dedhar, Shoukat, 1952-
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2022

description: Cancer metastasis is a major barrier to the long-term survival of cancer patients. In cancer cells, integrin engagement downstream of cell-extracellular matrix (ECM) interactions results in the recruitment of cytoskeletal and signaling molecules to form multi-protein complexes to promote processes critical for metastasis. One of the major functional components of these complexes is Integrin Linked Kinase (ILK). Here, we discuss recent advances in our understanding of the importance of ILK as a signaling effector in processes linked to tumor progression and metastasis. New mechanistic insights as to the role of ILK in cellular plasticity, epithelial mesenchymal transition (EMT), migration, and invasion, including the impact of ILK on the formation of invadopodia, filopodia-like protrusions (FLPs), and Neutrophil Extracellular Trap (NET)-induced motility are highlighted. Recent findings detailing the contribution of ILK to therapeutic resistance and the importance of ILK as a potentially therapeutically tractable vulnerability in both solid tumors and hematologic malignancies are discussed. Indeed, pharmacologic inhibition of ILK activity using specific small molecule inhibitors is effective in curtailing the contribution of ILK to these processes, potentially offering a novel therapeutic avenue for inhibiting critical steps in the metastatic cascade leading to reduced drug resistance and increased therapeutic efficacy.
Bayesian Estimation of the Exponentiated Gamma Parameter and Reliability Function under Asymmetric Loss Function
Creators: name: Kumar Singh, Sanjay
name: Singh, Umesh
name: Kumar, Dinesh
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: In this paper, we propose Bayes estimators of the parameter of the exponentiated gamma distribution and associated reliability function under General Entropy loss function for a censored sample. The proposed estimators have been compared with the corresponding Bayes estimators obtained under squared error loss function and maximum likelihood estimators through their simulated risks (average loss over sample space).
description: REVSTAT-Statistical Journal, Vol. 9 No. 3 (2011): REVSTAT-Statistical Journal
Admissibility of Estimators of Two Ordered Gamma Scale Parameters under Entropy Loss Function
Creators: name: Nematollahi, N.
name: Meghnatisi, Z.
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: Suppose that a random sample of size ni is drawn from a gamma distribution with known shape parameter νi > 0 and unknown scale parameter βi > 0, i = 1, 2, satisfying 0 < β1 ≤ β2. In estimation of β1 and β2 under the entropy loss function, we consider the class of mixed estimators of β1 and β2. It is shown that a subclass of mixed estimators of βi beats the usual estimators Xi/νi , i = 1, 2, and the inadmissible estimators in the class of mixed estimators are derived. Also the asymptotic efficiency of mixed estimators relative to the usual estimators are obtained. Finally the results are extended to a subclass of the scale parameter exponential family and the family of transformed chi-square distributions.
description: REVSTAT-Statistical Journal, Vol. 9 No. 3 (2011): REVSTAT-Statistical Journal
Rayleigh Distribution Revisited Via Extension of Jeffreys Prior Information and a New Loss Function
Creators: name: Dey, Sanku
name: Dey, Tanujit
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: In this paper we present Bayes estimators of the parameter of the Rayleigh distribution, that stems from an extension of Jeffreys prior (Al-Kutubi (2005)) with a new loss function (Al-Bayyati (2002)). The performance of the proposed estimators has been compared in terms of bias and the mean squared error of the estimates based on Monte Carlo simulation study. We also derive the credible and the highest posterior density intervals for the Rayleigh parameter. We present an illustrative example to test how the Rayleigh distribution fits to a real data set.
description: REVSTAT-Statistical Journal, Vol. 9 No. 3 (2011): REVSTAT-Statistical Journal
Garman–Klass Volatility Estimator Revisited
Creators: name: Meilijson, Isaac
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: The Garman–Klass unbiased estimator of the variance per unit time of zero-drift Brownian Motion, is quadratic in the range-based financial-type data CLOSE−OPEN, MAX −OPEN , OPEN −MIN reported on regular time windows. Its variance, 7.4 times smaller than that of the common estimator (CLOSE−OPEN ) 2 , is widely believed to be the minimal possible variance of unbiased estimators. The current report disproves this belief by exhibiting an unbiased estimator in which 7.4 becomes 7.7322. The essence of the improvement lies in data compression to a more stringent sufficient statistic. The Maximum Likelihood Estimator, known to be more efficient, attains asymptotically the Cram´er–Rao upper bound 8.471, unattainable by unbiased estimators because the distribution is not of exponential type. Beyond Brownian Motion, regression-fitted (mean-1) quadratic functions of the more stringent statistic increasingly out-perform those of CLOSE−OPEN , MAX −OPEN , OPEN −MIN when applied to random walks with heavier-tail distributed increments.
description: REVSTAT-Statistical Journal, Vol. 9 No. 3 (2011): REVSTAT-Statistical Journal
Generalized Sum Plots
Creators: name: Beirlant, J.
name: Boniphace, E.
name: Dierckx, G.
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: Sousa and Michailidis (2004) developed the sum plot based on the Hill (1975) estimator as a diagnostic tool for selecting the optimal k when the distribution is heavy tailed. We generalize their method to any consistent estimator with any tail type (heavy, normal and light tail). We illustrate the method associated to the generalized Hill estimator and the moment estimator. As an attempt to reduce the bias of the generalized Hill estimator, we propose new estimators based on the regression model which are based on the estimates of the generalized Hill estimator. Here weighted least squares and weighted trimmed least squares is proposed. The bias and the mean squared error (MSE) of the estimators is studied using a simulation study. A few practical examples are proposed.
description: REVSTAT-Statistical Journal, Vol. 9 No. 2 (2011): REVSTAT-Statistical Journal
Spatial Unit Level Model for Small Area Estimation
Creators: name: S. Coelho, Pedro
name: N. Pereira, Luís
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: This paper approaches the problem of small area estimation in the framework of spatially correlated data. We propose a class of estimators allowing the integration of sample information of a spatial nature. Those estimators are based on linear models with spatially correlated small area effects where the neighbourhood structure is a function of the distance between small areas. Within a Monte Carlo simulation study we analyze the merits of the proposed estimators in comparison to several traditional estimators. We conclude that the proposed estimators can compete in precision with competitive estimators, while allowing significant reductions in bias. Their merits are particularly conspicuous when analyzing their conditional properties.
description: REVSTAT-Statistical Journal, Vol. 9 No. 2 (2011): REVSTAT-Statistical Journal
Statistics of Extremes in Athletics
Creators: name: Henriques-Rodrigues, Lígia
name: Gomes, M. Ivette
name: Pestana, Dinis
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: TV shows on any athletic event make clear that those who want gold medals cannot dispense statistics. And the statistics more appealing to champions and coachers are the extreme order statistics, and in particular maximum (or minimum) values and records. The models in statistics of extremes are usually semi-parametric or even non-parametric in nature, with the imposition of a few regularity conditions in the appropriate tail of the unknown model underlying the available data. The primordial parameter is the extreme value index, the shape parameter in the (unified) extreme value distribution. The estimation of the extreme value index is one of the basis for the estimation of other parameters of rare events, like the right endpoint of the model underlying the data, a high quantile, the return period and the probability of exceedance of a high level. In this paper, we are interested in an application of statistics of extremes to the best personal marks in a few athletic events. Due to the way data are collected, we begin with a parametric data analysis, but we pay special attention to the semi-parametric estimation of the extreme value index and the right endpoint whenever finite, the possible world record, given the actual conditions. In order to achieve a better decision we consider a few alternative semi-parametric estimators available in the literature, and heuristic rules for the choice of thresholds.
description: REVSTAT-Statistical Journal, Vol. 9 No. 2 (2011): REVSTAT-Statistical Journal
Measure of Departure from Average Marginal Homogeneity for Square Contingency Tables with Ordered Categories
Creators: name: Yamamoto, Kouji
name: Ando, Shuji
name: Tomizawa, Sadao
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: For the analysis of square contingency tables, Tomizawa, Miyamoto and Ashihara (2003) considered a measure to represent the degree of departure from marginal homogeneity. However, the maximum value of this measure cannot distinguish two kinds of marginal inhomogeneity. This paper proposes a measure which can distinguish two kinds of marginal inhomogeneity for square tables with ordered categories. The measure is constructed using the arc-cosine function of symmetric cumulative probabilities. Especially the proposed measure is useful for representing the degree of departure from marginal homogeneity when the extended marginal homogeneity model holds. Examples are given.
description: REVSTAT-Statistical Journal, Vol. 9 No. 2 (2011): REVSTAT-Statistical Journal
Conquérir la génération Z au Maroc : maîtriser les clés du marketing 4.0
Creators: name: MANSOURI Mohamed
name: EL KHOUILDI Younes
name: NAAMA Maoulainine
name: MALAININE Cheklekbire
Publisher: name: Zenodo
Year: 2024

description: Cette étude explore les stratégies de marketing digital pour atteindre la génération Z au Maroc dans le contexte du marketing 4.0. Elle analyse l'évolution du comportement des consommateurs à l'ère digitale, en se concentrant sur les caractéristiques uniques de la génération Z en tant que digital natives. L'étude met en lumière l'importance d'une approche omnicanale intégrant les interactions en ligne et hors ligne pour créer une expérience client cohérente. Elle examine le nouveau parcours client, passant d'un modèle linéaire à un processus dynamique et itératif, où le consommateur devient co-créateur de la valeur de marque. L'importance de l'authenticité, de la transparence et de l'engagement social des marques est soulignée comme facteur clé pour gagner la confiance de la génération Z. L'étude propose des implications managériales pour les PME marocaines, incluant l'adoption de stratégies omnicanales, l'investissement dans les compétences digitales, l'exploitation du contenu généré par les utilisateurs, et l'importance d'une approche data-driven. Elle conclut en soulignant la nécessité pour les PME de s'adapter continuellement aux nouvelles réalités du marketing digital pour rester compétitives sur le marché marocain et potentiellement international.
Mixtures of Factor Models for Multivariate Disease Rates
Creators: name: Bailey, T.C.
name: Hewson, P.J.
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: A range of different approaches have been suggested for the multivariate modelling of the geographical distribution of different but potentially related diseases. We suggest an addition to these methods which incorporates a discrete mixture of latent factors, as opposed to using CAR or MCAR random effect formulations. Our proposal provides for a potentially richer range of dependency structures than those encompassed in previously used models in that it is capable of representing an enhanced range of correlation structures between diseases at the same time as implicitly allowing for less restrictive spatial correlation structures between geographical units. We illustrate results of using the model on data taken from cancer registries on four carcinomas in some 300 UK geographical areas.
description: REVSTAT-Statistical Journal, Vol. 9 No. 1 (2011): REVSTAT-Statistical Journal
Inference for Non-Markov Multi-State Models
Creators: name: Meira-Machado, Luís
Publisher: name: REVSTAT-Statistical Journal
Year: 2011

description: In longitudinal studies of disease, patients can experience several events across a follow-up period. Analysis of such studies can be successfully performed by multistate models. This paper considers nonparametric and semiparametric estimation of important targets in multi-state modeling, such as the transition probabilities and bivariate distribution function (for sequentially ordered events). These estimators are shown to be consistent even for data which is non-Markov. We illustrate the methods on two data sets.
description: REVSTAT-Statistical Journal, Vol. 9 No. 1 (2011): REVSTAT-Statistical Journal