scholarly journals Statistical analysis of the oil and HNS spill incidents occurred in NOWPAP region from 1990 to 2017

Author(s):  
Seong-Gil Kang ◽  
Tae-Hwan Joung ◽  
Siyeon Lee ◽  
Joung-Yun Lee ◽  
Haemin Won ◽  
...  

Abstract and Introduction This analysis has been implemented firstly under the project of ‘Development of information Sharing Platform on oil and HNS spills in the NOWPAP region' which was propose at the 18th MERRAC Focal Points meeting (August 2015) and approved by the 20th NOWPAP Intergovernmental meeting (November 2015). The detailed information on scope of data collection used in this analysis is as follows; Data used in this analysis was scoped from the year of 1990 to 2017Incidents of oil spillage with over 10 tons were only collected from the member states on a regular basisMERRAC established the guidelines to clear the terms and meanings to analyzeFrom 1990 to 1997, incidents of oil spill with over 50 tons were collectedThe incident data provides incident dates, locations, vessel types, incident types, pollution types and pollution quantities

Author(s):  
Ellen Winner

This book is an examination of what psychologists have discovered about how art works—what it does to us, how we experience art, how we react to it emotionally, how we judge it, and what we learn from it. The questions investigate include the following: What makes us call something art? Do we experience “real” emotions from the arts? Do aesthetic judgments have any objective truth value? Does learning to play music raise a child’s IQ? Is modern art something my kid could do? Is achieving greatness in an art form just a matter of hard work? Philosophers have grappled with these questions for centuries, and laypeople have often puzzled about them too and offered their own views. But now psychologists have begun to explore these questions empirically, and have made many fascinating discoveries using the methods of social science (interviews, experimentation, data collection, statistical analysis).


Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S487-S487
Author(s):  
Flávio Henrique Batista de Souza ◽  
Braulio Roberto Gonçalves Marinho Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  

Abstract Background In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital Infection Control. So, three procedures were performed: a treatment of the collected database for use of intact samples; a statistical analysis on the profile of the collected hospitals; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction. The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve - ranging from 0 to 1) presented for each of the configurations. Results From 45,990 records, 12,811 were able for analysis. The statistical analysis results were: the average age is 49 years old (predominantly between 30 and 50); the surgeries had an average time of 134.13 minutes; the average hospital stay is 4 days (from 0 to 200 days), the death rate reached 1% and the SSI 1.49%. A maximum prediction power of 0.742 was found. Conclusion There was a loss of 60% of the database samples due to the presence of noise. However, it was possible to have a relevant sample to assess the profile of these six hospitals. The predictive process, presented some configurations with results that reached 0.742, what promises the use of the structure for the monitoring of automated SSI for patients submitted to surgeries considered clean. To optimize data collection, enable other hospitals to use the prediction tool and minimize noise from the database, two mobile application were developed: one for monitoring the patient in the hospital and other for monitoring after hospital discharge. The SSI prediction analysis tool is available at www.nois.org.br. Disclosures All Authors: No reported disclosures


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1525
Author(s):  
Felipe Vieira ◽  
Cristian Cechinel ◽  
Vinicius Ramos ◽  
Fabián Riquelme ◽  
Rene Noel ◽  
...  

Communicating in social and public environments are considered professional skills that can strongly influence career development. Therefore, it is important to proper train and evaluate students in this kind of abilities so that they can better interact in their professional relationships, during the resolution of problems, negotiations and conflict management. This is a complex problem as it involves corporal analysis and the assessment of aspects that until recently were almost impossible to quantitatively measure. Nowadays, a number of new technologies and sensors have being developed for the capture of different kinds of contextual and personal information, but these technologies were not yet fully integrated inside learning settings. In this context, this paper presents a framework to facilitate the analysis and detection of patterns of students in oral presentations. Four steps are proposed for the given framework: Data collection, Statistical Analysis, Clustering, and Sequential Pattern Mining. Data Collection step is responsible for the collection of students interactions during presentations and the arrangement of data for further analysis. Statistical Analysis provides a general understanding of the data collected by showing the differences and similarities of the presentations along the semester. The Clustering stage segments students into groups according to well-defined attributes helping to observe different corporal patterns of the students. Finally, Sequential Pattern Mining step complements the previous stages allowing the identification of sequential patterns of postures in the different groups. The framework was tested in a case study with data collected from 222 freshman students of Computer Engineering (CE) course at three different times during two different years. The analysis made it possible to segment the presenters into three distinct groups according to their corporal postures. The statistical analysis helped to assess how the postures of the students evolved throughout each year. The sequential pattern mining provided a complementary perspective for data evaluation and helped to observe the most frequent postural sequences of the students. Results show the framework could be used as a guidance to provide students automated feedback throughout their presentations and can serve as background information for future comparisons of students presentations from different undergraduate courses.


2011 ◽  
Vol 21 (5) ◽  
pp. 856-863 ◽  
Author(s):  
M. Giacomini ◽  
A. Bisio ◽  
E. Giacomelli ◽  
S. Pivetti ◽  
S. Bertolini ◽  
...  

Author(s):  
Vicente Borja ◽  
Alejandro Ramírez-Reivich ◽  
Marcelo López-Parra ◽  
Arturo Treviño Arizmendi ◽  
Luis F. Equihua Zamora

A team of faculty members from the Universidad Nacional Autónoma de México (UNAM) has coordinated multidisciplinary courses in collaboration with universities from other countries. The team, who is composed by faculty from the School of Engineering and the School of Architecture, coordinates with pairs of Stanford University, the University of California at Berkeley, and the Technical University of Munich; to teach three particular design courses. All three courses are related to product innovation but they have different emphasis depending on the collaborating partner. The focal points of each of the three courses are: (1) innovation, (2) user centered design and sustainability and (3) transport in megacities of the future. Engineering and industrial design students are involved in the courses. They are organized in teams that include participants from the two collaborating universities. During the courses teams carry out projects working mostly at a distance; they use different means of communication and information sharing and also pay reciprocal visits between the universities involved in the collaboration. This paper describes each of the three courses highlighting their particular characteristics. The outcomes and results of the courses and specific projects are commented. In the end of the paper lessons learned are discussed and final remarks are presented.


2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Sahara Sahara ◽  
Dedeh Kurniasih ◽  
Rizmahardian Azhari Kurniawan

ABSTRACT The process of learning chemistry which only focused on teacher as informant caused the students’ memory lower. This could make the students’ learning outcomes lower, thus, it was needed STAD type of Cooperative Learning Method which had the process of interaction between student and teacher, and could help the students comprehend the material. Therefore, it was necessary to make a research which had the purpose to know the difference between students’ learning outcomes and memory which used STAD type ofCooperative Learning Method and lectures teaching method as well as how large the effect of STAD type of Cooperative Learning Method on salt hydrolysis material was. This research was Quasi Experimental Nonequivalent Control Group Design. The sample of the research was choosen by using saturated sampling which XI IPA 1 as experimental class and XI IPA 2 as control class. The techniques of data collection used measurement technique, observation, and interview while the tools of data collection used tests such as essayquestion, observation sheet, and interview guide. The statistical analysis of posttest result using U-man whitney test obtained significant value 0.000. This value was smaller than α (0.005) which meant that there was difference in learning outcome between experimental and control class. The statistical analysis result of U-man whitney delayed test obtained significant value 0.006, this value was smaller than α (0.005) which meant that there was difference between students’ memory in experimental and control class. The calculation of effect size showed value 1.64 with high criteria which gave high effect on students’ learning outcomes which was 44.95%, while the calculation of students’ memory effect size showed value 0.69 with moderate criteria which gave effect on students’ memory which was 26,42%. Keywords : Memory, Learning Outcomes, Salt Hydrolysis, STAD type of Cooperative Learning Method


2018 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Dedi Wahyudi ◽  
Devi Septya Wardani

This study aims to determine the increased activity and learning outcomes akidah morals through multimedia LCD Projector. The method used in this research is library research. Data collection is obtained through documentation studies of related scientific works. The type of research is qualitative ie that produces analytical procedures that do not use statistical analysis procedures or other qualifications. Based on the results of the study concluded that the application of media: (1) Increase student learning activities. This is based on literature studies that researchers get. (2) Improve learning outcomes. This is based on literature studies that researchers obtain, from the results of pre-cycle learning has increased.


2018 ◽  
Vol 14 (32) ◽  
pp. 237
Author(s):  
Daboné Inoussa ◽  
Méité Zoumana

Despite the policy of developing localities initiated by the Ivorian state, disparities between rural and urban populations are still obvious. The lack of interest in this process of development from localities’ native executives is highlighted. The present survey tempts to examine this lack of personal commitment from executives in relation with intersubjective factors such as sympathy, autonomy, mystical practices and communication. In so doing, a sample of 121 executives from the Ivorian public administration are selected rationally in the purpose of data collection through a questionnaire. Statistical analysis indicate that, except the autonomy to bring innovations in rural areas, the targeted intersubjective factors have a significant impact on the executives' level of commitment in their locality’s development. As regards to practical repercussions, these results underline the necessity to develop the local populations’ mind of sympathy and communication towards their executives. Local populations have also to put an end to any mystical practice able to frighten their native executives if they want them to fully take part in the development of their different localities.


2021 ◽  
Vol 1 (2) ◽  
pp. 175-184
Author(s):  
Junedi ◽  
Mustika Dwi Arumsari

Usaha Mikro Kecil dan Menengah (UMKM) memiliki kontribusi atas Pendapatan Domestik Bruto (PDB) rata-rata sebesar 60% sehingga kelangsungan usahanya perlu dipertahankan dengan mengenali faktor-faktornya. Penelitian ini bertujuan untuk menganalisis pengaruh modal usaha, kualitas produk, dan jaringan wirausaha terhadap kelangsungan usaha UMKM Madu Sari Lanceng. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif, dan menggunakan analisis statistik. Pengumpulan data berupa kuesioner kepada 22 pelaku UMKM Madu Sari Lanceng di Nglipar, Gunungkidul. Hasil analisis memberikan gambaran:  a) Modal Usaha dan Jaringan Wirausaha tidak berpengaruh terhadap Kelangsungan Usaha; b). Kualitas Produk berpengaruh positif terhadap kelangsungan usaha. Micro Small and Medium Enterprises (MSMEs) have a contribution to the average Gross Domestic Income (GDP) of 60% so that their business continuity needs to be maintained by recognizing the factors. This research aims to analyze the influence of business capital, product quality, and entrepreneurial networks on the business continuity of Madu Sari Lanceng MSMEs. The approach used in this research is a quantitative approach, and uses statistical analysis. Data collection in the form of questionnaires to 22 MSME madu sari lanceng actors in Nglipar, Gunungkidul. The results of the analysis provide an overview: a) Business Capital and Entrepreneurial Network have no effect on Business Continuity; b). Product Quality has a positive effect on business continuity


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