scholarly journals Water vulnerabilities mapping: a multi-criteria and multi-scale assessment in central Chile

Water Policy ◽  
2021 ◽  
Author(s):  
Martin Paegelow ◽  
Jorge Quense ◽  
Anne Peltier ◽  
Cristian Henríquez Ruiz ◽  
Lucie Le Goff ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Local Level ◽  
Water Flooding ◽  
Metropolitan Region ◽  
Coping Capacity ◽  
High Resolution Data ◽  
Multi Criteria Evaluation ◽  
Water Vulnerability ◽  
And Coping

Abstract One of the major challenges that populations have to face is vulnerability to water: lack of water, flooding, pollution, hazard sensitivity and coping capacity. For the reason of economic, social and environmental inequalities, this paper focuses on water-related vulnerabilities in the Metropolitan Region of Santiago (RMS) in Chile. Our main objective is to understand, through mapping, the multiscalar logics of water vulnerability. This study is carried out at two scales: at the regional level (RMS), we proceed with open access municipal statistical data and maps, while at the local level, a more detailed analysis focussing on the Chacabuco Province is based on the same type of data but with either a higher spatial resolution (Census districts) or a spatially more intensive data processing in order to take into account intra-municipal differences. In this way, we put into perspective the discourse developed in the Chilean media and by the inhabitants of Chacabuco Province regarding the province as an environmental ‘sacrifice zone’ for the RMS. The vulnerability maps are carried out at different scales in a simple and reproducible way by multi-criteria evaluation (MCE). The results confirm the hypothesis of a sacrifice zone and show that high-resolution data and adequate data processing give, on average, lower vulnerability scores than using only statistical data on the municipal level. The results provide a cartographic decision support for stakeholders. Limitations of the study are discussed and required further research pointed out.

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

2016 ◽  
Vol 870 ◽  
pp. 191-195
Author(s):  
N.A. Vil'bitskaya ◽  
S.A. Vilbitsky ◽  
A.G. Avakyan
Keyword(s):  
Mathematical Modeling ◽  
Data Processing ◽  
Ceramic Material ◽  
Functional Properties ◽  
Statistical Data ◽  
Ceramic Tiles ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
High Calcium ◽  
Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

scholarly journals Psycholinguistic Issues of Translation, Adaptation and Validation of «The Big Three Perfectionism Scale»

2020 ◽  
Vol 15 ◽  
pp. 59-62
Author(s):  
Tamara Grubi
Keyword(s):  
Factor Analysis ◽  
Data Processing ◽  
Statistical Data ◽  
Reliability And Validity ◽  
Statistical Data Processing ◽  
Pace Of Life ◽  
Rapid Pace

Increased interest in the study of perfectionism of a person is becoming more and more relevant, it can be explained by the rapid pace of life, increasing competition, the cult of perfectionism and individual accomplishments. To diagnose perfectionism they use questionnaires, however, the vast majority of them have two scales. In the «Great Triennial Scale of Perfectionism», perfectionism is viewed as a richly varied construct that combines three types – «hard», «self-critical» and «narcissistic». In turn, each of these types is composed of several scales, which are included in the inventory in order to increase reliability and accuracy in the assessment. The results of the process of translation, adaptation and standardization of the quantifier are presented. Data on primary statistical data processing, reliability, validity of the technique, correlation and factor analysis of its indicators according to psychometric requirements are given. The reliability and validity of the instrument and the possibility to use it for investigative and psychodiagnostic purposes has been proved.

scholarly journals Algorithm of complex anthroposcopic, anthropometric and dermatoglyphic research in forensic identification of an unknown person

2021 ◽  
pp. 36-49
Author(s):  
Halyna Zelenchuk ◽  
Natalia Kozan ◽  
Valeriya Chadiuk
Keyword(s):  
Neural Network ◽  
Data Processing ◽  
Forensic Science ◽  
Research Methods ◽  
Statistical Data ◽  
Forensic Identification ◽  
Statistical Data Processing

The article presents materials and research methods that are used both to identify an unknown person and to predict a person's susceptibility to illegal actions of varying severity. In particular, this article describes anthroposcopic, anthropometric, dermatoglyphic methods, statistical data processing and neural network forecasting, which are widely used in modern forensics and forensic science. The relevance and objectives of the above research methods are formulated in order to predict a person's propensity to illegal actions of varying severity.

scholarly journals Genomic epidemiology reveals multiple introductions of SARS-CoV-2 followed by community and nosocomial spread, Germany, February to May 2020

2021 ◽  
Vol 26 (43) ◽  
Author(s):  
Maximilian Muenchhoff ◽  
Alexander Graf ◽  
Stefan Krebs ◽  
Caroline Quartucci ◽  
Sandra Hasmann ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Sequence Data ◽  
Phylogenetic Analyses ◽  
Local Level ◽  
University Hospital ◽  
Metropolitan Region ◽  
Viral Genomes ◽  
Genomic Epidemiology ◽  
Viral Spread ◽  
Spatio Temporal

Background In the SARS-CoV-2 pandemic, viral genomes are available at unprecedented speed, but spatio-temporal bias in genome sequence sampling precludes phylogeographical inference without additional contextual data. Aim We applied genomic epidemiology to trace SARS-CoV-2 spread on an international, national and local level, to illustrate how transmission chains can be resolved to the level of a single event and single person using integrated sequence data and spatio-temporal metadata. Methods We investigated 289 COVID-19 cases at a university hospital in Munich, Germany, between 29 February and 27 May 2020. Using the ARTIC protocol, we obtained near full-length viral genomes from 174 SARS-CoV-2-positive respiratory samples. Phylogenetic analyses using the Auspice software were employed in combination with anamnestic reporting of travel history, interpersonal interactions and perceived high-risk exposures among patients and healthcare workers to characterise cluster outbreaks and establish likely scenarios and timelines of transmission. Results We identified multiple independent introductions in the Munich Metropolitan Region during the first weeks of the first pandemic wave, mainly by travellers returning from popular skiing areas in the Alps. In these early weeks, the rate of presumable hospital-acquired infections among patients and in particular healthcare workers was high (9.6% and 54%, respectively) and we illustrated how transmission chains can be dissected at high resolution combining virus sequences and spatio-temporal networks of human interactions. Conclusions Early spread of SARS-CoV-2 in Europe was catalysed by superspreading events and regional hotspots during the winter holiday season. Genomic epidemiology can be employed to trace viral spread and inform effective containment strategies.

scholarly journals Peningkatan Kompetensi Dalam Menunjang Kinerja Karyawan Pada PT Batang Bumi Mandiri

2021 ◽  
Vol 12 (3) ◽  
pp. 397-404
Author(s):  
Dekky SI Efendi ◽  
Sonny Hersonna ◽  
DJ Suyaman
Keyword(s):  
Data Processing ◽  
Sampling Method ◽  
Statistical Data ◽  
Research Data ◽  
Coefficient Of Determination ◽  
High Quality ◽  
Statistical Data Processing ◽  
Sample Technique ◽  
Saturated Sample

Competence in an organization or company is important in supporting the performance produced by employees. The management of course will make efforts to increase the competence of its employees with the hope that the performance of the employees will make their work complete and the output produced is of high quality. Recognizing the importance of competence on performance, the authors helped by examining these variables. In this study the researchers collected data by distributing it to all employees at PT Batang Bumi Mandiri with a total of 25, of which the entire population will also be sampled because the sampling method used is the saturated sample technique. In processing this data used statistical data processing tools in the form of SPSS version 26 to assist the author in processing research data. The result of the research is that competence has an effect on performance. The competency variable also has a coefficient of determination of 16.5% to affect performance, while the remaining 83.5% is influenced by other variables not examined in this study.

scholarly journals Current Issues in Early Warning and Development Initiatives Towards Enhanced Flood-Related Resilience in Nigeria

2020 ◽  
Author(s):  
Ugonna C. Nkwunonwo
Keyword(s):  
Early Warning ◽  
Disaster Recovery ◽  
Early Warning Systems ◽  
Flood Hazards ◽  
Coping Capacity ◽  
Local Initiative ◽  
Present Context ◽  
The Subject ◽  
Research Questions ◽  
And Coping

More than 4 years since the UNISDR Sendai framework replaced its predecessor, Hyogo, communities’ resilience to flooding is still a major issue for especially the developing countries (DCs) such as Nigeria where there are unresolved limitations with early warning systems. The recent increase in human and economic damages caused by floods and the inability of communities to recover from the effects, despite years after the disaster, indicate that the global concept of resilience has not been fully grasped. Nigeria, which is the subject of this chapter, typifies this situation. Evidently, the historic flooding of 2012 and its predecessors affected many communities and individual victims most of whom are still struggling with disaster recovery and reconstruction. This raises important research questions. What is not understood in the present context is that government institutions have made a lot of politicizing various interventions and local initiative, but the present reality is a “pathetic travesty of disaster recovery.” This chapter elucidates on these issues through theoretical discussions on community participation, risk-informed investment, and rural adaptation, all of which can be advocated to facilitate community resilience and coping capacity to all variants of flood hazards in Nigeria.

Introduction to Statistical Data Processing.

1969 ◽  
Vol 64 (328) ◽  
pp. 1679
Author(s):  
J. Wanzer Drane ◽  
Joan S. Reisch ◽  
Theodor D. Sterling ◽  
Seymour V. Pollack
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Statistical Data Processing
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