ADVANCES IN RISKING EXPLORATION PROSPECTS

2005 ◽  
Vol 45 (1) ◽  
pp. 143 ◽  
Author(s):  
D.C. Lowry ◽  
R.J. Suttill ◽  
R.J. Taylor
Keyword(s):  
Seismic Data ◽  
Information Needs ◽  
Column Height ◽  
Limited Data ◽  
Technical Literature ◽  
Geological Information ◽  
Level Of Knowledge ◽  
The Subject ◽  
Reserve Size ◽  
Exploration Activity

Assessment of prospect risk is a vital exploration activity, but technical literature on the subject shows few advances in methodologies in the last 20 years. Origin Energy has found that published procedures are not always adequate. Three perceived shortcomings are examined and techniques are proposed to overcome them.Cases where prospect risk is dependent on reserve size. Traditional methodologies assume the two are independent. This assumption is clearly inappropriate for, say, a prospect for which the success case value is based on the mapped closure, but which has suspect seal capacity that may limit the column height to something less than full-to-spill. A way forward is to build a variable risk array for a range of column heights and calculate the incremental risked NPV for each layer. The expected monetary value (EMV) is computed for a range of column heights based on the NPV of cumulative risked reserves;Cases where the estimation of chance of success (COS) based on traditional geological information needs to be combined with direct hydrocarbon indicators (DHIs) from seismic data. DHIs are not infallible indicators, however, and cannot be used to set the COS for elements such as charge to say 100%. Bayes’ Theorem can be used to combine the two sets of uncertain information.Cases where prospects are risked on very limited data. Traditional risking does not adequately incorporate the level of knowledge on which risk assessments are made. Inadequacies are identified in existing methodologies, but no simple and satisfactory solutions can be identified. We do suggest a way forward, however, for a related problem—testing the sensitivity of the EMV calculation for an exploration prospect for uncertainties in COS.

scholarly journals Research of the Disparities in the Process of Revitalization of Brownfields in Small Towns and Cities

2021 ◽  
Vol 13 (3) ◽  
pp. 1232
Author(s):  
Natalie Szeligova ◽  
Marek Teichmann ◽  
Frantisek Kuda
Keyword(s):  
Small Towns ◽  
The Czech Republic ◽  
Essential Step ◽  
Community Strength ◽  
Population Turnover ◽  
Subsequent Application ◽  
Level Of Knowledge ◽  
The Subject ◽  
Relevant Factors

The subject of the work is the research on relevant factors influencing participation in the success of brownfield revitalization, especially in the territory of small municipalities. Research has so far dealt with the issue of determining disparities in the municipalities of the Czech Republic, not excluding small municipalities, but their subsequent application has usually been presented in larger cities. The focus on smaller municipalities or cities was usually addressed only in general. The introduction provides an overview of theoretical knowledge in the field of brownfield revitalization. Defining the level of knowledge of the monitored issues is an essential step for the purposes of more effective determination of disparities. Disparities will be determined on the basis of information on localities that have been successfully revitalized. The identified disparities are then monitored in the territory of small municipalities. For the purposes of processing, it was determined that a small municipality or city is an area with a maximum of 5000 inhabitants. Using appropriately selected statistical methods, an overview of disparities and their weights is determined, which significantly affect the success of revitalization. In small municipalities, the issue of brownfields is not emphasized but, in terms of maintaining community strength and reducing population turnover, the reuse of brownfields is a crucial theme.

scholarly journals Learning Subject-Generalized Topographical EEG Embeddings Using Deep Variational Autoencoders and Domain-Adversarial Regularization

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1792
Author(s):  
Juan Hagad ◽  
Tsukasa Kimura ◽  
Ken-ichi Fukui ◽  
Masayuki Numao
Keyword(s):  
Neural Network ◽  
Network Architecture ◽  
Emotion Classification ◽  
Limited Data ◽  
Neural Network Architecture ◽  
Building Models ◽  
The Subject ◽  
Data Constraints ◽  
Input Level ◽  
Normally Distributed

Two of the biggest challenges in building models for detecting emotions from electroencephalography (EEG) devices are the relatively small amount of labeled samples and the strong variability of signal feature distributions between different subjects. In this study, we propose a context-generalized model that tackles the data constraints and subject variability simultaneously using a deep neural network architecture optimized for normally distributed subject-independent feature embeddings. Variational autoencoders (VAEs) at the input level allow the lower feature layers of the model to be trained on both labeled and unlabeled samples, maximizing the use of the limited data resources. Meanwhile, variational regularization encourages the model to learn Gaussian-distributed feature embeddings, resulting in robustness to small dataset imbalances. Subject-adversarial regularization applied to the bi-lateral features further enforces subject-independence on the final feature embedding used for emotion classification. The results from subject-independent performance experiments on the SEED and DEAP EEG-emotion datasets show that our model generalizes better across subjects than other state-of-the-art feature embeddings when paired with deep learning classifiers. Furthermore, qualitative analysis of the embedding space reveals that our proposed subject-invariant bi-lateral variational domain adversarial neural network (BiVDANN) architecture may improve the subject-independent performance by discovering normally distributed features.

Academic library website functions in the context of users’ information needs

2016 ◽  
Vol 50 (2) ◽  
pp. 157-167 ◽  
Author(s):  
Anna Mierzecka ◽  
Andrius Suminas
Keyword(s):  
Information Needs ◽  
Academic Library ◽  
Library Services ◽  
Digital Revolution ◽  
The Subject ◽  
Vilnius University ◽  
Locating Information ◽  
Library Websites ◽  
The University ◽  
Desk Research

The digital revolution has had a particular impact on the functioning of libraries: it has changed both the means of communicating with the users, and the nature of the service itself. In the case of academic libraries, an online presence is crucial due to the increased rate of Internet usage among their stakeholders, academics and students alike. From their perspective, library websites serve as digital gates to library services and resources. However, an academic library website may fulfil a wide array of functions and their importance can be variously prioritized. The purpose of our research was to find out which functions of academic library websites are viewed as the most important by a selected group of users: the students. To answer this question, we identified the main functions of academic library websites on the basis of desk research and designed a survey conducted among students of the University of Warsaw (Poland) and Vilnius University (Lithuania) ( n=680). The picture of users’ information needs with regard to content of the academic library website revealed by our research allows us to draw conclusions about the functions of the academic library website distinctive from those already mentioned in the subject literature. From the perspective of a user-centric approach we distinguished five functions of the academic library website: (1) supporting the usage of the collection (online and traditional); (2) promotion of culture; (3) gateway for locating information on the Web; (4) education; (5) creation of library’s online image.

III.—On the Subdivisions of the Triassic Rocks, between the Coast of West Somerset and the South Coast of Devon

1875 ◽  
Vol 2 (4) ◽  
pp. 163-168 ◽  
Author(s):  
W. A. E. Ussher
Keyword(s):  
South Coast ◽  
The South ◽  
Geological Information ◽  
The Subject

Much has been written on the relations of the Devonshire Trias as observed in the south-coast section. The subject itself is associated with many names of high scientific repute, so that, were the following epitome the result of partial examination, or in any way aided by preconceived notions arrived at from the perusal of the labours of those who have gone before, I should not feel justified in differing in many points from men infinitely my superiors in general geological information.

The Role of ECT in Schizophrenia

2002 ◽  
Vol 10 (4) ◽  
pp. 385-388 ◽  
Author(s):  
Richard Keuneman ◽  
Rajiv Weerasundera ◽  
David Castle
Keyword(s):  
Acute Onset ◽  
Clinical Settings ◽  
Limited Data ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Affective Symptoms ◽  
Maintenance Ect ◽  
The Subject

Objective: To review the place of electroconvulsive therapy (ECT) in the treatment of schizophrenia. Conclusions: ECT is as effective, if not more so, than the antipsychotic drugs in certain clinical settings. It can be rapidly effective in acute episodes. When used alone, antipsychotics have comparable or superior efficacy to ECT alone in the short term. However, ECT possibly confers better long-term outcome. Combination treatment with antipsychotic medications and ECT is superior to either treatment alone, and is safe and effective, notably in medication resistant schizophrenia. Benefits of acute courses of ECT may be short-lived unless maintenance ECT is instituted, although there are limited data on the subject. Clinically, patients with acute onset, shorter episodes are more likely to respond to ECT. Catatonia, preoccupation with delusions and hallucinations, and a relative absence of premorbid schizoid and paranoid personality traits, are other clinical factors less strongly predictive of positive response. The presence of affective symptoms is often thought to be predictive of clinical response. However, there is little research evidence for this. While medications remain the mainstay of treatment in schizophrenia, ECT does have a clear and increasingly recognised role which requires further evaluation.

scholarly journals Estimating evapotranspiration using the complementary relationship and the Budyko framework

2017 ◽  
Vol 8 (4) ◽  
pp. 771-790 ◽  
Author(s):  
Homin Kim ◽  
Jagath J. Kaluarachchi
Keyword(s):  
Root Mean Square Error ◽  
Vegetation Cover ◽  
Meteorological Data ◽  
Mean Square ◽  
Limited Data ◽  
Complementary Relationship ◽  
Proposed Model ◽  
The Usa ◽  
Dry Conditions ◽  
The Subject

Abstract Several models have been developed to estimate evapotranspiration. Among those, the complementary relationship has been the subject of many recent studies because it relies on meteorological data only. Recently, the modified Granger and Gray (GG) model showed its applicability across 34 diverse global sites. While the modified GG model showed better performances compared to the recently published studies, it can be improved for dry conditions and the relative evaporation parameter in the original GG model needs to be further investigated. This parameter was empirically derived from limited data from wet environments in Canada – a possible reason for decreasing performance with dry conditions. This study proposed a refined GG model to overcome the limitation using the Budyko framework and vegetation cover to describe relative evaporation. This study used 75 eddy covariance sites in the USA from AmeriFlux, representing 36 dry and 39 wet sites. The proposed model produced better results with decreasing monthly mean root mean square error of about 30% for dry sites and 15% for wet sites compared to the modified GG model. The proposed model in this study maintains the characteristics of the Budyko framework and the complementary relationship and produced improved evapotranspiration estimates under dry conditions.

scholarly journals Effect of Training About Child Neglect and Abuse to Teachers and Its Effect to Awareness

2021 ◽  
Author(s):  
İskender GÜN ◽  
Adeviye ÇOPUR ◽  
Elçin BALCI
Keyword(s):  
Child Neglect ◽  
Formal Training ◽  
Knowledge Level ◽  
Test Analysis ◽  
Survey Form ◽  
Abuse And Neglect ◽  
Level Of Knowledge ◽  
The Subject ◽  
Student’S T ◽  
Student’S T Test

Abstract Background: This study aimed to evaluate the effects of child neglect and abuse training on the knowledge and awareness of medical vocational schoolteachers in Turkey. Methods: This study was conducted with teachers from Kayseri, Turkey, between October 2016 and April 2017. Teachers who agreed to participate in the study received training on child neglect and abuse. Data were collected through a survey form and by the Scale for Identifying the Symptoms and Risks of Child Abuse and Neglect. Data were analyzed through the software SPSS V.20.0. For statistical analyses, student’s t test, analysis of variance and McNemar tests were performed, with p< 0.05 value being considered statistically significant. Results: Of the teachers, 63.7% were female and 80.5% were married. Teachers’ mean age was 40.5 ± 9.9 years. Of the teachers, 87.4% reported the training was adequate. Teachers’ level of knowledge on neglect and abuse and the percentage of those who reported that they would report it to the authorities when faced with such a case increased after the training. Women teachers’ scores for the neglect and abuse scale increased among those without children and who found the training adequate. Conclusions: Teachers’ knowledge level in the study group prior to the training was found higher. The subject of child neglect and abuse should be further discussed during teachers’ formal training.

scholarly journals Creación automática de equipos de estudiantes universitarios: una experiencia desde la asignatura Inglés / Automatic Building of University Student Teams: an experience from English subject

Ciencia Unemi ◽  
2017 ◽  
Vol 9 (21) ◽  
pp. 58
Author(s):  
Marcelo Haro Gavidia ◽  
Guisella Chabla Galarza ◽  
Miguel Montalvo Robalino ◽  
David Coello Chabla ◽  
Pavel Novoa-Hernández
Keyword(s):  
Optimization Problem ◽  
University Student ◽  
State University ◽  
Pareto Dominance ◽  
Student Teams ◽  
Trabajo En Equipo ◽  
Level Of Knowledge ◽  
The Subject ◽  
English Subject ◽  
Estudiantes Universitarios

Uno de los principales objetivos en la educación es lograr que los estudiantes desarrollen la capacidad de trabajo en equipo. Esta capacidad potencia la socialización entre los estudiantes y la resolución de problemas complejos. Comúnmente, la creación de estos equipos es realizada por el docente de la asignatura, quien debe tener en cuenta múltiples criterios como la presencia de un estudiante líder y equipos heterogéneos. Cuando la asignatura tiene poco estudiantes, esta tarea suele ser fácil. Sin embargo, cuando se debe tener en cuenta a numerosos estudiantes, la tarea se torna compleja y por lo general no existe garantía de que los equipos creados cumplan con los criterios deseados. En este sentido, con el objetivo de favorecer el desarrollo óptimo de esta tarea docente, la presente investigación propone una solución computacional que automatiza la creación de equipos de trabajo de estudiantes. Específicamente, la tarea de la creación de los equipos se modeló matemáticamente como un problema de optimización de tipo combinatorio y multi-objetivo, que fue resuelto a su vez por un algoritmo evolutivo basado en los conceptos de Dominancia de Pareto. Para validar las propuestas, se realizaron varios experimentos computacionales que involucran escenarios reales, relacionados con la Unidad de Aprendizaje Inglés en varias carreras de la Universidad Técnica Estatal de Quevedo. ABSTRACTOne of the main goals for Higher Education is to educate students to work in teams. Such a skill not only improves their social behavior in the community, but also the ability for solving complex problems. Usually, the process of making teams is carried out by professor of the subject, who has to take into account several criteria (e.g. the presence of leader, heterogeneity of the team according the level of knowledge, sex, among others). When the subject has just few students, this task becomes easy. However, in the case of classes with a large number of students, this task becomes complex and there is no warranty about the accomplishment of the considered criteria. In that sense, the present work proposes a computational solution that automatizes the task of student teams building. Specifically, it was approached as a multi-objective combinatorial optimization problem, which was solved using a Pareto Dominance-based algorithm. In order to validate the proposal we performed several computational experiments involving real case studies from the English subject of three careers at the Technical State University of Quevedo. Results show that the proposed approach is able to build balanced teams according to the considered criteria.

scholarly journals Rozwój zielonej gospodarki w sektorze rolnictwa w krajach Unii Europejskiej i w Polsce w kontekście koncepcji zrównoważonego rozwoju

2017 ◽  
Vol 17(32) (3) ◽  
pp. 195-206
Author(s):  
Łukasz Kozar
Keyword(s):  
Great Britain ◽  
Rural Areas ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Statistical Data ◽  
Green Economy ◽  
Pilot Studies ◽  
Level Of Knowledge ◽  
The Subject ◽  
Almost All

The paper presents the issues related to the green economy in the agricultural sector. In order to discuss it, an analysis of the subject literature was carried out and some selected statistical data describing the process of greening of agriculture were presented. The timeframe of the analysis covered the years 2010-2015. The GUS and Eurostat were the source of the used values. Studies have shown that almost all EU countries have increased the area of organic agricultural land in the surveyed period (except for Great Britain). In addition, the article presents the results of pilot studies conducted in the Lodz Region, aimed at diagnosing key barriers to the development of the green economy in rural areas. According to the research, the insufficient level of knowledge of farmers in this area is an important obstacle to building a green economy in rural areas.

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