scholarly journals The Classification of the Environmental Indicators using ELECTRE TRI Method for Loukkos Basin in Morocco

2021 ◽  
Vol 1743 ◽  
pp. 012006
Author(s):  
Layla Aziz ◽  
Samira Achki ◽  
Ridouane. Chalh
Keyword(s):  
Environmental Indicators ◽  
Electre Tri

Green Growth in Mexico, Brazil, and Chile

2016 ◽  
pp. 203-237
Author(s):  
Inmaculada Martinez-Zarzoso ◽  
Nicole Grunewald
Keyword(s):  
Latin American ◽  
Empirical Model ◽  
Environmental Indicators ◽  
Policy Recommendations ◽  
Green Growth ◽  
Gas Emissions ◽  
The Future ◽  
Latin American Countries ◽  
Growth Indicators

This research focuses on identifying the main policy strategies that could potentially contribute to the advance of three Latin American economies, namely Brazil, Chile and Mexico towards a green growth model that is social and inclusive, given the actual patterns of development of those economies. With this aim, we first identify and describe past and current policies in each country in terms of economic, social and environmental indicators. A detailed analysis follows for Brazil, Chile and Mexico, in which we propose a series of green growth indicators and choose a definition and classification of green growth sectors. We estimate an empirical model to explain the determinants of greenhouse gas emissions and deforestation in Latin American countries. We broadly identify the sectors that contribute to its increase and describe the main green policies applied in each country. In turn we identify the sectors with higher potential for the future. Finally, we present policy recommendations and reflections for the future.

Green Growth in Mexico, Brazil, and Chile

2017 ◽  
pp. 201-233
Author(s):  
Inmaculada Martinez-Zarzoso ◽  
Nicole Grunewald
Keyword(s):  
Latin American ◽  
Empirical Model ◽  
Environmental Indicators ◽  
Policy Recommendations ◽  
Green Growth ◽  
Gas Emissions ◽  
The Future ◽  
Latin American Countries ◽  
Growth Indicators

This research focuses on identifying the main policy strategies that could potentially contribute to the advance of three Latin American economies, namely Brazil, Chile and Mexico towards a green growth model that is social and inclusive, given the actual patterns of development of those economies. With this aim, we first identify and describe past and current policies in each country in terms of economic, social and environmental indicators. A detailed analysis follows for Brazil, Chile and Mexico, in which we propose a series of green growth indicators and choose a definition and classification of green growth sectors. We estimate an empirical model to explain the determinants of greenhouse gas emissions and deforestation in Latin American countries. We broadly identify the sectors that contribute to its increase and describe the main green policies applied in each country. In turn we identify the sectors with higher potential for the future. Finally, we present policy recommendations and reflections for the future.

scholarly journals Assessment of the environmental aspect of corporate sustainability of companies

2020 ◽  
Vol 89 ◽  
pp. 04006
Author(s):  
E.S. Blinova ◽  
T.V. Ponomarenko
Keyword(s):  
Environmental Performance ◽  
Corporate Sustainability ◽  
Economic Assessment ◽  
Environmental Indicators ◽  
Sustainability Management ◽  
Environmental Aspect ◽  
Mining Companies ◽  
Climate Policies ◽  
Significant Damage

Strengthening international environmental and climate policies dictates a reorientation of companies towards corporate sustainability management. The article discusses the issues of assessing the environmental performance of companies in the context of corporate sustainability. The main methods of assessing the environmental aspect of corporate sustainability have been analyzed. The classification of the main methods for assessing the corporate sustainability has been presented. The application of methods for assessing the dynamics of environmental indicators of corporate sustainability of companies, including mining companies, has been substantiated. Mining companies have been proven to cause significant damage to the surrounding ecosystems. The use of indicators of economic impact and environmental and economic assessment has been substantiated.

scholarly journals Ranked classification of environmental conditions

2021 ◽  
pp. 129-136
Author(s):  
A.V. Skatkov ◽  
◽  
A.A. Bryukhovetskiy ◽  
D.V. Moiseev ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Environmental Conditions ◽  
High Efficiency ◽  
Environmental Indicators ◽  
Artificial Neural ◽  
Intelligent Technology ◽  
Evaluation Matrix ◽  
The Impact

This paper discusses the main features associated with the development and research of the device based on the methods of intelligent technology for assessing the state of the natural environment. It should be noted that natural and technical objects, as well as the processes occurring in them, are characterized by high complexity and dynamism, and a significant part of these processes has not yet been fully studied and formalized. Therefore, one of the most important areas of data analysis in this area is the use of artificial neural networks in information and measurement systems. In the works of scientists from various countries, the high efficiency of the use of artificial neural networks in solving individual data processing problems in the classification of environmental conditions is shown. The proposed approach is based on methods of nonparametric statistics using rank criteria and will allow for intelligent analysis of data on key environmental indicators, such as hydrometeorological data on the level of pollution and composition of air, soil, maximum permissible emissions of harmful substances, environmental monitoring of anomalies, and others. Static, dynamic, integral, and generalized models of classification of environmental conditions are presented. Further research plans suggest evaluating the impact of sample size on statistical sensitivity, statistical stability, and areas of confident/uncertain recognition, as well as building a decision support system for detecting the G-effect, and considering an adaptive approach to constructing an evaluation matrix.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

Ultrastructure of mesotheliomas

1984 ◽  
Vol 42 ◽  
pp. 98-101
Author(s):  
Irving Dardick
Keyword(s):  
Electron Microscopy ◽  
Latent Period ◽  
Spindle Cell ◽  
Spindle Cell Sarcoma ◽  
Metastatic Adenocarcinoma ◽  
Cell Sarcoma ◽  
Cytological Features ◽  
Industrial Use ◽  
Degree Of Differentiation

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

Dual stain kit for the microscopic gram classification of ocular infection bacteria

1993 ◽  
Vol 51 ◽  
pp. 248-249
Author(s):  
Jacob S. Hanker ◽  
Dale N. Holdren ◽  
Kenneth L. Cohen ◽  
Beverly L. Giammara
Keyword(s):  
Contact Lenses ◽  
Ocular Infection ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Gram Staining ◽  
Ocular Infections ◽  
Different Types ◽  
Culture Positive ◽  
Increased Susceptibility

Keratitis and conjunctivitis (infections of the cornea or conjunctiva) are ocular infections caused by various bacteria, fungi, viruses or parasites; bacteria, however, are usually prominent. Systemic conditions such as alcoholism, diabetes, debilitating disease, AIDS and immunosuppressive therapy can lead to increased susceptibility but trauma and contact lens use are very important factors. Gram-negative bacteria are most frequently cultured in these situations and Pseudomonas aeruginosa is most usually isolated from culture-positive ulcers of patients using contact lenses. Smears for staining can be obtained with a special swab or spatula and Gram staining frequently guides choice of a therapeutic rinse prior to the report of the culture results upon which specific antibiotic therapy is based. In some cases staining of the direct smear may be diagnostic in situations where the culture will not grow. In these cases different types of stains occasionally assist in guiding therapy.

Ultrastructural Classification of Pituary Adenomas

1990 ◽  
Vol 48 (3) ◽  
pp. 258-258
Author(s):  
S. Arumugam ◽  
Sarasa Bharati Arumugam
Keyword(s):  
Cytoplasmic Organelle ◽  
Null Cell ◽  
Cell Adenoma ◽  
Mixed Cell ◽  
Light Microscope Level ◽  
Null Cell Adenoma ◽  
Growth Hormone Cell ◽  
Ultrastructural Characteristics ◽  
Organelle Morphology

Adenoaas of the pituitary are no longer classified based on their tinctorial affinity to dyes. With the advent of the newer methods of sophisticated technology, it is now possible to classify. These depending upon the type of hormone secreted based either on histochemical techniques or on ultrastructural characteristics. The latter provides an insight into the cytoplasmic organelle morphology which offers a delightful feast to the eye as well.This paper presents the ultrastructural characters of the pituitary adenoma as seen in Madras. 171 adenomas (124 males and 47 females) were seen during 1972-1989, classified at the light microscope level as 159 chromophobe, 2 basophilic, 4 eosinophilic and 6 mixed adenomas.Ultrastructural examination showed that the sparsely granular prolactin cell adenoma is the commonest adenoma to be encountered closely followed by the growth hormone cell adenoma, null cell adenoma, the mixed cell adenoma and others.

Sign in / Sign up

Export Citation Format

Share Document