scholarly journals ZIP Code Versus Georeference

2021 ◽  
Author(s):  
Jorge L. Bazan ◽  
Thaicia S. de Almeida ◽  
Mauricio M. Ferreira ◽  
Daniel C. F. Guzman ◽  
Francisco Louzada ◽  
...  
Keyword(s):  
Predictive Modeling ◽  
Predictive Power ◽  
Information Value ◽  
Unique Contribution ◽  
Postal Address ◽  
Different Types ◽  
Numeric Representation ◽  
Zip Code ◽  
Credit Granting ◽  
Code Versus

When dealing with predictive modeling of credit-granting, different types of attributes are used: Cadastral, Behavioral, Business / Proposal, Credit Bureaux, in addition to Public, Private or Subsidiaries Sources. The Postal Address Code (Código de Endereçamento Postal CEP in Portuguese) in Brazil, in particular, has a unique contribution capacity (uncorrelated with most other attributes in general) and reasonably good predictive power. CEP is frequently used by truncating its numeric representation, considering the first d digits, for example. In this report, a preliminary methodology is proposed, aiming to elaborate clustering sets of CEPs by considering the information of clients' defaults over a period of time. Additionally, we tested the number of clusters obtained using the Information Value criterion. Promising solutions are obtained using statistical and optimizing approaches. Other methodologies are suggested and could be complementary with the principal methodology proposed.

Predicting matches in international football tournaments with random forests

2018 ◽  
Vol 18 (5-6) ◽  
pp. 460-482 ◽  
Author(s):  
Gunther Schauberger ◽  
Andreas Groll
Keyword(s):  
Random Forests ◽  
Statistical Models ◽  
Regression Models ◽  
Predictive Power ◽  
Statistical Modelling ◽  
World Cup ◽  
Fifa World Cup ◽  
Specific Data ◽  
Covariate Information ◽  
Different Types

Many approaches that analyse and predict results of international matches in football are based on statistical models incorporating several potentially influential covariates with respect to a national team's success, such as the bookmakers’ ratings or the FIFA ranking. Based on all matches from the four previous FIFA World Cups 2002–2014, we compare the most common regression models that are based on the teams’ covariate information with regard to their predictive performances with an alternative modelling class, the so-called random forests. Random forests can be seen as a mixture between machine learning and statistical modelling and are known for their high predictive power. Here, we consider two different types of random forests depending on the choice of response. One type of random forests predicts the precise numbers of goals, while the other type considers the three match outcomes—win, draw and loss—using special algorithms for ordinal responses. To account for the specific data structure of football matches, in particular at FIFA World Cups, the random forest methods are slightly altered compared to their standard versions and adapted to the specific needs of the application to FIFA World Cup data.

scholarly journals Full Assignment of Ab-Initio Raman Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to Cyclohexane Molecule in Gas Phase

Micromachines ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1212
Author(s):  
Pouya Partovi-Azar ◽  
Thomas Kühne
Keyword(s):  
Molecular Dynamics ◽  
Ab Initio ◽  
Gas Phase ◽  
Raman Spectra ◽  
Predictive Power ◽  
Ab Initio Molecular Dynamics ◽  
Spatial Spread ◽  
Wannier Functions ◽  
Different Types ◽  
Cross Correlations

We demonstrate how to fully ascribe Raman peaks simulated using ab initio molecular dynamics to specific vibrations in the structure at finite temperatures by means of Wannier functions. Here, we adopt our newly introduced method for the simulation of the Raman spectra in which the total polarizability of the system is expressed as a sum over Wannier polarizabilities. The assignment is then based on the calculation of partial Raman activities arising from self- and/or cross-correlations between different types of Wannier functions in the system. Different types of Wannier functions can be distinguished based on their spatial spread. To demonstrate the predictive power of this approach, we applied it to the case of a cyclohexane molecule in the gas phase and were able to fully assign the simulated Raman peaks.

scholarly journals The measurement of audit quality in the Netherlands: a practical note

2021 ◽  
Vol 95 (1/2) ◽  
pp. 17-31 ◽  
Author(s):  
Tjibbe Bosman
Keyword(s):  
The Netherlands ◽  
Quality Indicators ◽  
Audit Quality ◽  
Quality Measures ◽  
Information Value ◽  
Quality Data ◽  
Wide Range ◽  
Different Types

Several committees, institutions, and practitioners are currently working on defining appropriate, and reliable Audit Quality Indicators (AQIs). The experiences the Foundation for Auditing Research (FAR) made with collecting audit quality data may inform the search for appropriate and reliable AQIs. In this paper I discuss different types of audit (quality) measures and their availability in the Netherlands. Furthermore, I discuss the (potential) information value, limitations, and recommendations for a wide range of audit quality measures and sources.

scholarly journals Sea cliff instability susceptibility at regional scale: a statistically based assessment in southern Algarve, Portugal

2013 ◽  
Vol 1 (3) ◽  
pp. 1965-2003 ◽  
Author(s):  
F. M. S. F. Marques ◽  
R. Matildes ◽  
P. Redweik
Keyword(s):  
Natural Hazard ◽  
Regional Scale ◽  
Roc Curves ◽  
Predisposing Factors ◽  
Information Value ◽  
Multivariate Logistic Regression ◽  
Land Use Regulations ◽  
Conditioning Factors ◽  
Different Types ◽  
Sea Cliff

Abstract. Mass movements of different types and sizes are the main processes of sea cliff evolution and also a considerable source of natural hazard, making its assessment a relevant issue in terms of human losses prevention and land use regulations. To address the assessment of the spatial component of sea cliff hazard, i.e. the susceptibility, a statistically based study was made to assess the capacity of a set of conditioning factors to express the occurrence of sea cliff failures affecting areas located along their top. The study was based on the application of the bivariate Information Value and multivariate Logistic regression statistical methods, using a set of predisposing factors for cliff failures, mainly related with geology (lithology, bedding dip, faults) and geomorphology (maximum and mean slope, height, aspect, plan curvature, toe protection) which were correlated with a photogrammetry based inventory of cliff failures occurred in a 60 yr period (1947–2007). The susceptibility models were validated against the inventory data using standard success rate and ROC curves, and provided encouraging results, indicating that the proposed approaches are effective for susceptibility assessment. The results obtained also stress the need for improvement of the predisposing factors to be used in this type of studies and the need of detailed and systematic cliff failures inventories.

scholarly journals Sun, Sleep, and Satisfaction: Mediating Role of Depression and Source of Endogeneity among Middle-aged and Older Adults in China

2022 ◽  
Author(s):  
Xiao Han ◽  
Jun Li
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Sleep Duration ◽  
Fixed Effects ◽  
Predictive Power ◽  
Epidemiological Survey ◽  
Depression Score ◽  
Information Value ◽  
Mediating Role

Purpose To examine: (i) depression as a mediator in effects of sleep duration and quality on life satisfaction (LS), (ii) source of endogeneity in self-reported data on sleep, and (iii) predictive power of sleep duration and quality on LS. Methods Panel data of 22,674 observations from the China Health and Retirement Longitudinal Survey (2015 & 2018) was used. Sleep was assessed with self-reported duration and quality. Depression was measured by the 10-question version of the Center for Epidemiological Survey - Depression. LS was rated by five scales. Fixed-effects ordered logit models were used to determine the effect of sleep duration and quality on life satisfaction and the mediating role of depression. We used instrumental variable strategy to explore the source of endogeneity. Information value and random forest model were used to examine the predictive power of sleep measures duration and quality. Results Sleep duration and quality were found to improve life satisfaction via lower depression score. Non-agricultural employed population with urban hukou (household registration) accounted for the endogeneity, but the instrument variable sunset failed the weak instrument test. Sleep measures were found to predict life satisfaction, especially for the lower life satisfaction groups. Conclusion Our findings suggest the importance of sleep and the study of the associations between solar cues, social schedules, and sleep. Policy makers of social care of older adults might consider sleep intervention among this population.

The “ETA” Indices in QSAR/QSPR/QSTR Research

2015 ◽  
pp. 48-83 ◽  
Author(s):  
Kunal Roy ◽  
Rudra Narayan Das
Keyword(s):  
Predictive Modeling ◽  
Chemical Information ◽  
Qsar Analysis ◽  
Mathematical Correlation ◽  
Correlation Models ◽  
Modeling Analysis ◽  
Essential Components ◽  
Different Types ◽  
Toxicity Relationship

Descriptors are one of the most essential components of predictive Quantitative Structure-Activity/Property/Toxicity Relationship (QSAR/QSPR/QSTR) modeling analysis, as they encode chemical information of molecules in the form of quantitative numbers, which are used to develop mathematical correlation models. The quality of a predictive model not only depends on good modeling statistics, but also on the extraction of chemical features. A significant amount of research since the beginning of QSAR analysis paradigm has led to the introduction of a large number of predictor variables or descriptors. The Extended Topochemical Atom (ETA) indices, developed by the authors' group, successfully address the aspects of molecular topology, electronic information, and different types of bonded interactions, and have been extensively employed for the modeling of different types of activity/property and toxicity endpoints. This chapter provides explicit information regarding the basis, algorithm, and applicability of the ETA indices for a predictive modeling paradigm.

Collaborative fashion consumption and its environmental effects

2017 ◽  
Vol 21 (4) ◽  
pp. 468-482 ◽  
Author(s):  
Samira Iran ◽  
Ulf Schrader
Keyword(s):  
Environmental Effects ◽  
Empirical Studies ◽  
Sustainable Consumption ◽  
Unique Contribution ◽  
Conceptual Basis ◽  
Collaborative Consumption ◽  
Content Type ◽  
Existing Structures ◽  
Different Types ◽  
Practical Implications

Purpose The purpose of this paper is to provide the conceptual basis of collaborative fashion consumption (CFC) as a possible path toward more sustainable clothing. A definition and a typology of CFC are introduced and possible environmental effects of CFC are structured and discussed. This provides a solid conceptual basis for future empirical studies on CFC as an element of more sustainable consumption. Design/methodology/approach This paper is written mainly based on a review of the more recent literature on collaborative consumption, as well as of older papers about related concepts like sustainable service systems and eco-efficient services. The proposed CFC typology and the structure of environmental effects are developed using both a deductive and an inductive process, and then by transferring existing structures to this specific field and challenging them by assigning practical examples. Findings The main contributions of this paper are the definition and typology of CFC and the structure for assessing its environmental effects. Research limitations/implications The findings provide a conceptual basis for future empirical research on CFC. Practical implications For practitioners, the CFC typology and the structure of environmental effects could be used as checklists for future development of more sustainable collaborative consumption offers. Originality/value This paper makes a unique contribution to the concept of CFC. To the knowledge of the authors, this is the first paper that has been explicitly dedicated to examining different types and environmental effects of CFC.

scholarly journals Improved Personalised Neuroendocrine Tumours’ Diagnosis Predictive Power by New Receptor Somatostatin Image Processing Quantification

2021 ◽  
Vol 11 (10) ◽  
pp. 1042
Author(s):  
Cati Raluca Stolniceanu ◽  
Mihaela Moscalu ◽  
Doina Azoicai ◽  
Bogdan Tamba ◽  
Constantin Volovat ◽  
...  
Keyword(s):  
Image Processing ◽  
Predictive Power ◽  
Neuroendocrine Tumours ◽  
Central Place ◽  
Somatostatin Analogue ◽  
Improved Method ◽  
Different Types ◽  
Uptake Quantification ◽  
Areas Of Interest ◽  
Personalised Therapy

Although neuroendocrine tumours (NETs) are intensively studied, their diagnosis and consequently personalised therapy management is still puzzling due to their tumoral heterogeneity. In their theragnosis algorithm, receptor somatostatin scintigraphy takes the central place, the diagnosis receptor somatostatin analogue (RSA) choice depending on laboratory experience and accessibility. However, in all cases, the results depend decisively on correct radiotracer tumoral uptake quantification, where unfortunately there are still unrevealed clues and lack of standardization. We propose an improved method to quantify the biodistribution of gamma-emitting RSA, using tissular corrected uptake indices. We conducted a bi-centric retrospective study on 101 patients with different types of NETs. Three uptake indices obtained after applying new corrections to areas of interest drawn for the tumour and for three reference organs (liver, spleen and lung) were statistically analysed. For the corrected pathological uptake indices, the results showed a significant decrease in the error of estimating the occurrence of errors and an increase in the diagnostic predictive power for NETs, especially in the case of lung-referring corrected index. In conclusion, these results support the importance of corrected uptake indices use in the analysis of 99mTcRSA biodistribution for a better personalised diagnostic accuracy of NETs patients.

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