scholarly journals Incorporating cumulative environmental effects of finfish mariculture into Canadian environmental assessment

2021 ◽  
Author(s):  
Sarah Coldwell King
Keyword(s):  
Decision Support ◽  
New Brunswick ◽  
Field Component ◽  
Far Field ◽  
Traffic Light ◽  
Environmental Assessments ◽  
Potential Site ◽  
Acceptability Criteria ◽  
New Criteria

A Traffic Light Decision Support System (DSS) used in marine finfish federal environmental assessments was expanded to include regional and cumulative environmental impacts. A retrospective review of 23 existing mariculture farms in southwestern New Brunswick indicated whether cumulative interactions would have justified site approvals. Six new criteria were added to the far-field component and other existing criteria were amended. Scores of A, B+, B⁻, C and pre-emptive C were based on acceptability criteria. Calculations of cumulative ecosystem indices and potential site indices revealed site acceptability, and the index combinations suggested potential site approvals predicted using Hargrave's (2002) three-colour Traffic Light scheme. Before mitigation was considered, 19 of 23 sites failed the amended set of criteria and after considering mitigation, 8 sites failed. Combining the site and ecosystem indices yielded varying site acceptability scores. The role of mitigation and other factors in hindering sustainable siting was discussed

scholarly journals Incorporating cumulative environmental effects of finfish mariculture into Canadian environmental assessment

2021 ◽  
Author(s):  
Sarah Coldwell King
Keyword(s):  
Decision Support ◽  
New Brunswick ◽  
Field Component ◽  
Far Field ◽  
Traffic Light ◽  
Environmental Assessments ◽  
Potential Site ◽  
Acceptability Criteria ◽  
New Criteria

A Traffic Light Decision Support System (DSS) used in marine finfish federal environmental assessments was expanded to include regional and cumulative environmental impacts. A retrospective review of 23 existing mariculture farms in southwestern New Brunswick indicated whether cumulative interactions would have justified site approvals. Six new criteria were added to the far-field component and other existing criteria were amended. Scores of A, B+, B⁻, C and pre-emptive C were based on acceptability criteria. Calculations of cumulative ecosystem indices and potential site indices revealed site acceptability, and the index combinations suggested potential site approvals predicted using Hargrave's (2002) three-colour Traffic Light scheme. Before mitigation was considered, 19 of 23 sites failed the amended set of criteria and after considering mitigation, 8 sites failed. Combining the site and ecosystem indices yielded varying site acceptability scores. The role of mitigation and other factors in hindering sustainable siting was discussed

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajar Syahputra ◽  
Mesran Mesran ◽  
Ikhwan Lubis ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Basic Education ◽  
Selection Index ◽  
Main Task ◽  
Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

NBIC-TECHNOLOGIES FOR A DIGITAL ECONOMY

2021 ◽  
Author(s):  
О.Н. МАСЛОВ
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Simulation Modeling ◽  
Information Technologies ◽  
Business Processes ◽  
Digital Economy ◽  
Biological Information ◽  
Role Of Information ◽  
New Formation

Дается обоснование необходимости ускоренного внедрения NBIC-технологий (нанотехнологии, информацион -ные, биологические и когнитивные технологии) в отечественное производство на стадии его перехода к цифровой экономике. Рассматривается проблема формирования системы генерации и реализации инновационных знаний; показана ключевая роль информационных технологий (реинжиниринг бизнес-процессов, имитационное моделирование, системы поддержки реше -ний и др.). Отмечена важность подготовки кадров новой формации, способных использовать достижения NBIC-технологий в интересах современного производства. The paper discusses the need for accelerated implementation of NBIC-technologies (according to the first letters of their names: nanotechnology, biological, information, and cognitive technologies) in domestic production at the stage of its transition to the digital economy. The problem of forming a system for generating and implementing innovative knowledge is considered. The key role of information technologies (business processes reengineering, simulation modeling, decision support systems, etc.) in its solution is shown. The importance of training personnel of a new formation, capable of using the achievements of NBIC-technologies in the interests of modern production, is noted.

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