scholarly journals Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2092
Author(s):  
Jose Manuel Prieto ◽  
Victor Amor ◽  
Ignacio Turias ◽  
David Almorza ◽  
Francisco Piniella
Keyword(s):  
Risk Profile ◽  
Statistical Information ◽  
Data Matrix ◽  
State Control ◽  
Multivariate Statistical ◽  
Explanatory Variables ◽  
Safety Requirements ◽  
Eu Member States ◽  
Over Time ◽  
Classification Society

Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their ports comply with all maritime safety requirements. This paper focuses on the analysis of all inspections made between 2013 and 2018 in the top ten EU ports incorporated in the Paris MoU (17,880 inspections). The methodology consists of a multivariate statistical information system (STATIS) analysis using the inspected ship’s characteristics as explanatory variables. The variables used describe both the inspected ships (classification society, flag, age and gross tonnage) and the inspection (type of inspection and number of deficiencies), yielding a dataset with more than 600,000 elements in the data matrix. The most important results are that the classifications obtained match the performance lists published annually by the Paris MoU and the classification societies. Therefore, the approach is a potentially valid classification method and would then be useful to maritime authorities as an additional indicator of a ship’s risk profile to decide inspection priorities and as a tool to measure the evolution in the risk profile of the flag over time.

scholarly journals Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

2021 ◽  
Author(s):  
José Manuel Prieto ◽  
Víctor Amor-Esteban ◽  
Ignacio J. Turias ◽  
David Almorza ◽  
Francisco Piniella
Keyword(s):  
Risk Profile ◽  
Statistical Information ◽  
Data Matrix ◽  
State Control ◽  
Multivariate Statistical ◽  
Explanatory Variables ◽  
Safety Requirements ◽  
Eu Member States ◽  
Over Time ◽  
Classification Society

Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their ports comply with all maritime safety requirements. This paper focuses on the analysis of all inspections made between 2013 and 2018 in the top ten EU ports incorporated in the Paris MoU (17,880 inspections). The methodology consists of a multivariate statistical information system (STATIS) analysis using the inspected ship’s characteristics as explanatory variables. The variables used describe both the inspected ships (classification society, flag, age and gross tonnage) and the inspection (type of inspection and number of deficiencies), yielding a dataset with more than 600,000 elements in the data matrix. The most important results are that the classifications obtained match the performance lists published annually by the Paris MoU and the classification societies. Therefore, the approach is a potentially valid classification method and would then be useful to maritime authorities as an additional indicator of a ship’s risk profile to decide inspection priorities and as a tool to measure the evolution in the risk profile of flag over time.

scholarly journals Nuclear Magnetic Resonance Metabolomics with Double Pulsed-Field-Gradient Echo and Automatized Solvent Suppression Spectroscopy for Multivariate Data Matrix Applied in Novel Wine and Juice Discriminant Analysis

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4146
Author(s):  
José Enrique Herbert-Pucheta ◽  
José Daniel Lozada-Ramírez ◽  
Ana E. Ortega-Regules ◽  
Luis Ricardo Hernández ◽  
Cecilia Anaya de Parrodi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Field Gradient ◽  
Multivariate Statistical Analysis ◽  
Data Matrix ◽  
Cabernet Sauvignon ◽  
Gradient Echo ◽  
Multivariate Statistical ◽  
Orthogonal Projections ◽  
Pulsed Field

The quality of foods has led researchers to use various analytical methods to determine the amounts of principal food constituents; some of them are the NMR techniques with a multivariate statistical analysis (NMR-MSA). The present work introduces a set of NMR-MSA novelties. First, the use of a double pulsed-field-gradient echo (DPFGE) experiment with a refocusing band-selective uniform response pure-phase selective pulse for the selective excitation of a 5–10-ppm range of wine samples reveals novel broad 1H resonances. Second, an NMR-MSA foodomics approach to discriminate between wine samples produced from the same Cabernet Sauvignon variety fermented with different yeast strains proposed for large-scale alcohol reductions. Third a comparative study between a nonsupervised Principal Component Analysis (PCA), supervised standard partial (PLS-DA), and sparse (sPLS-DA) least squares discriminant analysis, as well as orthogonal projections to a latent structures discriminant analysis (OPLS-DA), for obtaining holistic fingerprints. The MSA discriminated between different Cabernet Sauvignon fermentation schemes and juice varieties (apple, apricot, and orange) or juice authentications (puree, nectar, concentrated, and commercial juice fruit drinks). The new pulse sequence DPFGE demonstrated an enhanced sensitivity in the aromatic zone of wine samples, allowing a better application of different unsupervised and supervised multivariate statistical analysis approaches.

Landsat Views of Sudbury (Canada) Area Acidic and Nonacidic Lakes

1992 ◽  
Vol 49 (S1) ◽  
pp. 33-39 ◽  
Author(s):  
J. Roger Pitblado
Keyword(s):  
Thematic Mapper ◽  
Landsat Data ◽  
Multivariate Statistical ◽  
Temporal Dimension ◽  
Acidic Lake ◽  
Water Colour ◽  
Statistical Procedures ◽  
Changes Over Time ◽  
Radiance Data ◽  
Over Time

Multivariate statistical procedures are used to establish empirical associations between acidity, visual lake water colour, dissolved organic carbon (DOC) concentrations, and Landsat-5 Thematic Mapper (TM) radiance data. Acidic lakes in an area northeast of Sudbury (Canada) are characterized by their clear, blue colours and very low DOC. With a subjective, three-class water colour grouping, 92% of the study lakes were correctly classified using TM data. Further, it is shown that DOC, the major component of water colour in this area, can be predicted within 1 mg/L of observed concentrations using TM data (multiple r = 0.93, P < 0.01). By deriving interrelationships between pH levels, water colour, and DOC, Landsat data provide a means to discriminate and map the acidic and nonacidic lakes of the study area. Examination of the reflectance characteristics of a single acidic lake (Bowland Lake) that has undergone neutralization suggests that Landsat data may be used to detect optical changes over time. However, the capability for monitoring the temporal dimension of lake acidification using satellite data has yet to be established.

scholarly journals Application of Multidimensional Statistical Analysis in Tribotechnical Diagnostics of Hydraulic Fluids in Woodworking Equipment

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4628
Author(s):  
Michaela Hnilicová ◽  
Ján Turis ◽  
Richard Hnilica
Keyword(s):  
Data Matrix ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Machine Maintenance ◽  
Hydraulic Fluids ◽  
Quantitative Characteristics ◽  
Friction Surfaces ◽  
Qualitative And Quantitative Characteristics

The article dealt with the assessment of the quality of hydraulic oil and determination of the mode of wear of the friction surfaces of Baljer & Zembrod manipulating lines through the information traces in the oils by applying tribotechnical diagnostics. We presented the assessment of the level of degradation of the oils. In addition, we presented the mode of wear of the friction surfaces washed in oil through evaluation of the qualitative and quantitative characteristics of the particles found in the oil. In detail, we focused on the application of suitable multivariate statistical methods on the data matrix. The article also presents predictive models that can sort oils into groups based on the assessment of quality of the oil and the state of the friction couples. The models can be used in research and in solving practical tasks in tribotechnical diagnostics of hydraulic fluids in woodworking equipment. Our results showed that the manipulation lines were greatly thermically stressed due to inadequate oil and machine maintenance. By correlative integration of all methods used, we could determine the real mode of the wear of the tribologic nodes of the machine. The experiment enabled the early detection of an undesirable process in the tribological node and implementation of corrective measures before the machine would break down.

scholarly journals More than a decade of real-world experience of pegvisomant for acromegaly: ACROSTUDY

2021 ◽  
Author(s):  
Maria Fleseriu ◽  
Dagmer Führer-Sakel ◽  
Aart J van der Lely ◽  
Laura De Marinis ◽  
Thierry Brue ◽  
...  
Keyword(s):  
Drug Withdrawal ◽  
Tumour Size ◽  
Pituitary Tumour ◽  
Risk Profile ◽  
Interventional Study ◽  
Safety And Efficacy ◽  
Active Acromegaly ◽  
Liver Tests ◽  
Over Time

Objective: To report the final long-term safety and efficacy analyses of patients with acromegaly treated with pegvisomant from the ACROSTUDY. Design: Global (15 countries), multicentre, non-interventional study (2004-2017). Methods: The complete ACROSTUDY cohort comprised patients with acromegaly, who were being treated with pegvisomant (PEGV) prior to the study or at enrolment. Main endpoints were long-term safety (comorbidities, adverse events [AEs], pituitary tumour volumes, liver tests) and efficacy (IGF-1 changes). Results: Patients (n = 2221) were treated with PEGV for a median of 9.3 years (range, 0-20.8 years) and followed up for a median of 7.4 years (range, 0-13.9 years). Before PEGV, 96.3% had received other acromegaly treatments (surgery/radiotherapy/medications). Before PEGV treatment, 87.2% of patients reported comorbidities. During ACROSTUDY, 5567 AEs were reported in 56.5% of patients and of these 613 were considered treatment-related (in 16.5% of patients) and led to drug withdrawal in 1.3%. Pituitary imaging showed a tumour size increase in 7.1% of patients; the majority (71.1%) reported no changes. Abnormal AST or ALT liver tests occurred in 3.2% of patients. IGF-1 normalization rate improved over time, increasing from 11.4% at PEGV start to 53.7% at year 1, and reaching 75.4% at year 10 with use of ≥30 mg PEGV/day in an increasing proportion of patients. Conclusion: This comprehensive review of the complete cohort in ACROSTUDY confirmed the overall favourable benefit-to-risk profile and high efficacy of PEGV as mono- and combination therapy in patients with an aggressive course/uncontrolled/active acromegaly requiring long-term medical therapy for control.

Part I Rationales for State Aid Rules, 2 Evolution of Aid in the EU: Classifying Different Types of Countries, and the Financial and Economic Crisis

2016 ◽  
Author(s):  
Kreuschitz Viktor ◽  
Nehl Hanns Peter
Keyword(s):  
Economic Crisis ◽  
Aggregate Data ◽  
European Market ◽  
Member States ◽  
Eu Member States ◽  
Time Period ◽  
Single European Market ◽  
Similarities And Differences ◽  
Over Time ◽  
The Eu

This chapter examines the evolution of (non-crisis) aid in the EU-27 since 1992, which serves as a basis to assess the similarities and differences between the practices of granting aid in EU Member States. Aggregate data for the EU-27 as a whole suggests that Member States have given a smaller percentage of their GDP as aid over time, which might be regarded as reflective of the view that they are accepting the need for its reduction and its control in the single European market. While declining in the first half of the 1990s, aid levels peaked in 1997, only to be reduced by 1999. This can be explained based on the new regulations that were pursued during the time period, which resulted in broader definitions by the Commission and tighter control.

scholarly journals The contingent character of interest groups–political parties’ interaction

2020 ◽  
pp. 1-22
Author(s):  
Laura Chaqués-Bonafont ◽  
Camilo Cristancho ◽  
Luz Muñoz-Márquez ◽  
Leire Rincón
Keyword(s):  
Political Parties ◽  
Interest Groups ◽  
Interest Group ◽  
Structural Factors ◽  
Issue Salience ◽  
Short Term ◽  
Explanatory Variables ◽  
Number Of Parties ◽  
Over Time ◽  
Western Democracies

Abstract This article examines the conditions under which interest groups interact with political parties. Existing research finds that interest group–political party interactions in most western democracies have become more open and contingent over time. The close ideological and formal organisational ties that once characterised these relations have gradually been replaced by alternative, more pragmatic forms of cooperation. However, most of this research stresses the importance of the structural factors underpinning these links over time and across countries, but sheds little light on the factors driving short-term interest group–party interactions. Here, by drawing on survey data on Spanish interest groups obtained between December 2016 and May 2017, this article seeks to fill this gap by taking into account party status, issue salience and a group’s resources as explanatory variables. It shows that mainstream parties are the primary targets of interest groups, that groups dealing with salient issues are more likely to contact political parties and that the groups with most resources interact with a larger number of parties.

Sign in / Sign up

Export Citation Format

Share Document