Using Microdiamonds in Kimberlite Diamond Grade Prediction: A Case Study of the Variability in Diamond Population Characteristics Across the Size Range 0.2 to 3.4 mm in Misery Kimberlite, Ekati Mine, NWT, Canada

2016 ◽  
Vol 111 (2) ◽  
pp. 503-525 ◽  
Author(s):  
M. Y. Krebs ◽  
D. G. Pearson ◽  
T. Stachel ◽  
R. A. Stern ◽  
T. Nowicki ◽  
...  
Keyword(s):  
Size Range ◽  
Population Characteristics ◽  
Grade Prediction

scholarly journals Population characteristics, space use and habitat associations of the seahorse Hippocampus reidi (Teleostei: Syngnathidae)

2007 ◽  
Vol 5 (3) ◽  
pp. 405-414 ◽  
Author(s):  
Ierecê Lucena Rosa ◽  
Tacyana P. R. Oliveira ◽  
André L. C. Castro ◽  
Luiz E. de Souza Moraes ◽  
Josias H. A. Xavier ◽  
...  
Keyword(s):  
Habitat Structure ◽  
Habitat Associations ◽  
Population Characteristics ◽  
Brazilian Coast ◽  
Life Stages ◽  
Unequal Distribution ◽  
Ecological Information ◽  
Spatial Use ◽  
Conservation And Management

This paper provides a case study of a threatened seahorse species, Hippocampus reidi, highlighting the importance of using ecological information to assist conservation and management initiatives. Underwater visual sighting data (50 x 2m transect) gathered along the NE, SE and S portions of the Brazilian coast revealed an unequal distribution across localities, perhaps related to harvesting pressure, and a mean density of 0.026 ind.m-2. Our findings suggest some restricted spatial use by H. reidi, which was consistent with its estimated home range, and with re-sighting of specimens. Reproduction was recorded year-round, however productive peaks may exist. Components of habitat structure mostly used as anchoring points were mangrove plants, macroalgae, cnidarians, seagrass, sponges, and bryozoans. Conservation recommendations include: further characterization and mapping of habitats; assessment of availability and condition of microhabitats in selected areas, and studies on dispersal routes during initial life stages.

scholarly journals Socio-Economic Drivers, Land Cover Changes and the Dynamics of Rural Settlements: Mt. Matese Area (Italy)

2017 ◽  
Vol 9 (3) ◽  
pp. 435-457 ◽  
Author(s):  
Maria Bonaventura Forleo ◽  
Vincenzo Giaccio ◽  
Agostino Giannelli ◽  
Luigi Mastronardi ◽  
Nadia Palmieri
Keyword(s):  
Land Cover ◽  
Interesting Case ◽  
Population Characteristics ◽  
Land Cover Changes ◽  
Rural Settlements ◽  
Difficult Situation ◽  
Current Scenario ◽  
The Relationship ◽  
Development Prospects

Abstract The paper elaborates on the relationship between land cover changes and transformation drivers, by analysing the dynamics that took place between 1990 and 2010 in Mt. Matese area (Italy). Mt. Matese is an interesting case study which was included as a pilot area in the Italian Strategy for Inner Areas. Drivers related to land cover changes include population characteristics, the agricultural and production system, tourist offer, location and settlements dynamics. Land cover changes and the dynamics of studied drivers are analysed in-depth, through a descriptive and multivariate analysis. Results highlight the difficult situation of the study area for many drivers. However, the slow changes in land cover and the potentialities offered by the natural environment, as well as by the agriculture and tourism sectors, outline some development prospects. The paper outlines the current scenario in the area and provides useful references for future policies aimed at setting up this area as National Park and at implementing the Strategy for Inner Areas.

scholarly journals Parameterization of pharmaceutical emissions and removal rates for use in UK predictive exposure models: steroid estrogens as a case study

2014 ◽  
Vol 16 (11) ◽  
pp. 2571-2579
Author(s):  
J. D. Heffley ◽  
S. D. W. Comber ◽  
B. W. Wheeler ◽  
C. H. Redshaw
Keyword(s):  
Local Population ◽  
Population Characteristics ◽  
Prescription Data ◽  
Removal Rates ◽  
Exposure Models ◽  
Steroid Estrogens

Using local population characteristics and prescription data to predict pharmaceutical concentrations in sewage influent and effluent.

scholarly journals Implementasi Konsumsi Islami Pada Pengajar Pondok Pesantren (Studi Kasus Pada Pengajar Pondok Pesantren Al Aqobah Kecamatan Diwek Kabupaten Jombang)

2015 ◽  
Vol 1 (9) ◽  
pp. 610
Author(s):  
Bagus Baidhowi ◽  
Irham Zaki
Keyword(s):  
Everyday Life ◽  
School Teacher ◽  
Sampling Technique ◽  
Boarding School ◽  
Qualitative Approach ◽  
Population Characteristics ◽  
Case Study Method ◽  
Descriptive Case Study ◽  
Balance System

This study aims to determine the application of Islamic consumption by Al Aqobah Boarding School teacher in Diwek Subdistrict, Jombang District.This study used a qualitative approach with descriptive case study method. The population characteristics of this study are the teachers of Al Aqobah Boarding School in Diwek Subdistrict, Jombang District. The teachers of Al Aqobah Boarding School who know and understand the consumption according to Islam are people who implement Islamic consumption in his life, the teacher/ustadz and ustadzah who has been teaching at Al Aqobah boarding school at least 2 years. The number of samples in this study was six informants. The sampling technique used was purposive sampling.Based on the results of this study showed that Al Aqobah boarding school teacher in Diwek Subdistrict, Jombang District, has implemented the Islamic consumption legally (halal); they are not extravagant not only in spending wealth but also in living luxury and showing assets. They can also make the balance system between worldly and hereafter consumption.Moreover, the suggestion for all of people in Al Aqobah boarding school and also the teachers are expected to continue teaching the consumption which is true to Islam, apply in everyday life, and provide appropriate examples to the students. For further research, it is expected to examine the same topic with more in depth details about the implementation of Islamic consumption on other aspects that are more specific.

scholarly journals Aerosol observations and growth rates in the tropical tropopause layer

2012 ◽  
Vol 12 (1) ◽  
pp. 2355-2394
Author(s):  
D. A. Waddicor ◽  
G. Vaughan ◽  
T. W. Choularton ◽  
K. N. Bower ◽  
H. Coe ◽  
...  
Keyword(s):  
Sulphuric Acid ◽  
Satellite Images ◽  
Size Range ◽  
Aerosol Particles ◽  
Current Theory ◽  
Particle Nucleation ◽  
Back Trajectories ◽  
Tropical Tropopause Layer ◽  
Tropical Tropopause

Abstract. We present a case study of Aitken and accumulation mode aerosol observed downwind of the anvils of deep tropical thunderstorms. The measurements were made by condensation nuclei counters flown on the Egrett high-altitude aircraft from Darwin during the ACTIVE campaign, in monsoon conditions producing widespread convection over land and ocean. Maximum measured concentrations of aerosol in the size range 10–100 nm were 25 000 cm−3 STP. By calculating back-trajectories from the observations, and projecting on to infrared satellite images, the time since the air exited cloud was estimated. In this way a time scale of ~ 3–4 h was derived for the 10–100 nm aerosol concentration to reach its peak. We examine the hypothesis that the growth in aerosol concentrations can be explained by production of sulphuric acid from SO2 followed by particle nucleation and coagulation. Estimates of the sulphuric acid production rate show that the observations are only consistent with this hypothesis if the particles coagulate to sizes > 10 nm much more quickly than is suggested by current theory. Alternatively, other condensible gases (possibly organic) drive the growth of aerosol particles in the TTL.

Suboptimal food retail model in Czechia: social super discount stores

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tomáš Sadílek
Keyword(s):  
Social Entrepreneurship ◽  
Size Range ◽  
Food Distribution ◽  
Social Enterprises ◽  
Content Type ◽  
The Status ◽  
Definition Of ◽  
Discount Stores ◽  
Selection Of

PurposeThe paper aims to identify retail models redistributing suboptimal food and their presence in Czechia. The author aims to give an overview of the status in comparison with other European Union countries and the form of such models in the Czech retail market concerning social super discount stores (SSDSs).Design/methodology/approachThe analysis is based on data obtained from an empirical study conducted by the study of secondary materials, author store-check observations and interviews with owners of SSDSs. The theoretical part consists of a literature review on social enterprises, food wasting and the definition of certain food distribution formats such as social supermarkets, food banks and SSDSs. The criteria for the selection of the research sample for observation were chosen based on the research conducted in Austria by researchers from the Vienna University of Economics and Business.FindingsThe research sample consists of 40 retail stores belonging to five retailers. The particular variables of the study are the number of stores, store size, range of categories and products, discount rates, location and the number of employees in the selected stores in Czechia.Originality/valueThis paper is a case study to identify and explore social retailing in Central Europe. This paper contributes to the emerging set of literature on social entrepreneurship, particularly in the field of retail for suboptimal food products.

scholarly journals You Win Some, You Lose Some: Compensating the Loss of Green Space in Cities Considering Heterogeneous Population Characteristics

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1156
Author(s):  
Jonas Nordström ◽  
Cecilia Hammarlund
Keyword(s):  
Green Space ◽  
Planning Process ◽  
Welfare Effects ◽  
Urban Green Space ◽  
Population Characteristics ◽  
Ecological Compensation ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Mitigation Hierarchy

The increased urbanization and human population growth of the recent decades have resulted in the loss of urban green spaces. One policy used to prevent the loss of urban green space is ecological compensation. Ecological compensation is the final step in the mitigation hierarchy; compensation measures should thus be a last resort after all opportunities to implement the earlier steps of the hierarchy have been exhausted. Ecological compensation should balance the ecological damage, aiming for a “no net loss” of biodiversity and ecosystem services. In this study, we develop a simple model that can be used as tool to study the welfare effects of applying ecological compensation when green space is at risk of being exploited, both at an aggregate level for society and for different groups of individuals. Our focus is on urban green space and the value of the ecosystem service—recreation—that urban green space provides. In a case study, we show how the model can be used in the planning process to evaluate the welfare effects of compensation measures at various sites within the city. The results from the case study indicate that factors such as population density and proximity to green space have a large impact on aggregate welfare from green space and on net welfare when different compensation sites are compared against each other.

scholarly journals Immigration in the suburban settlements, case study: The municipality of Temerin

2010 ◽  
pp. 115-126
Author(s):  
Tamara Lukic ◽  
Aleksandra Dragin ◽  
Ljubica Ivanovic
Keyword(s):  
Population Growth ◽  
Population Characteristics ◽  
Main Task ◽  
Reproductive Ability ◽  
Natural Movement ◽  
Geographical Position ◽  
Autonomous Province ◽  
Novi Sad ◽  
Positive Effect

At the turn of the 20th to 21st century, few municipalities in Vojvodina have recorded the population growth in all the settlements. Among them is a municipality Temerin, which is the subject of this paper. The geographical position of settlements of the municipality Temerin puts them in the suburbs of Novi Sad, the capital of the Autonomous Province of Vojvodina. Questionnaire and analysis of parameters of the natural movement of population has shown that the growth of the population was most influenced by migration. One of the preliminary hypotheses states that proximity of Novi Sad had a positive effect on population growth. The main task of this study was to determine how immigration affected the number of population. Special attention is devoted to the time of immigration and origin of immigrants. In addition, part of the paper refers to the daily migrants, respectively, to their number and to the area to which they migrate. Some of them pretend to leave Temerin immediately since they have ensured economic conditions for it. This is a group of the population which has working and reproductive ability. Their abandonment would adversely affect the population characteristics. That is why the monitoring of the population is very important. In addition, their motives are very important. Enabling the fulfillment of the migrant needs in the municipal territory would reduce their motivation for leave. The importance of this paper is in enriching the knowledge about the movement of the population in suburban settlements of Novi Sad. .

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil)

2021 ◽  
Vol 24 (3) ◽  
Author(s):  
Leila Abuabara ◽  
Maria Gabriela Valeriano ◽  
Carlos Roberto Veiga Kiffer ◽  
Horácio Hideki Yanasse ◽  
Ana Carolina Lorena
Keyword(s):  
Machine Learning ◽  
Population Characteristics ◽  
Machine Learning Techniques ◽  
System Planning ◽  
Health System Planning ◽  
Learning Techniques ◽  
Using Data ◽  
The City ◽  
Support Decision Making

Many efforts were made by the scientific community during the Covid-19 pandemic to understand the disease and better manage health systems' resources. Believing that city and population characteristics influence how the disease spreads and develops, we used Machine Learning techniques to provide insights to support decision-making in the city of São José dos Campos (SP), Brazil. Using a database with information from people who undergo the Covid-19 test in this city, we generate and evaluate predictive models related to severity, need for hospitalization and period of hospitalization. Additionally, we used the SHAP value for models' interpretation of the most decisive attributes influencing the predictions. We can conclude that patient age linked to symptoms such as saturation and respiratory distress and comorbidities such as cardiovascular disease and diabetes are the most important factors to consider when one wants to predict severity and need for hospitalization in this city. We also stress the need of a greater attention to the proper collection of this information from citizens who undergo the Covid-19 diagnosis test.

Sign in / Sign up

Export Citation Format

Share Document