scholarly journals A review of risk prioritisation schemes of pathogens, pests and weeds: principles and practices

2008 ◽  
Vol 20 (1) ◽  
pp. 15 ◽  
Author(s):  
J. HEIKKILÄ

Society’s resources are scarce, and biosecurity actions need to be targeted and prioritised. Various models have been developed that prioritise and rank pests and diseases according to the risks they represent. A prioritisation model allows utilisation of scientific, ecological and economic information in decision-making related to biological hazards. This study discusses such models and the properties associated with them based on a review of 78 prioritisation studies. The scope of the models includes all aspects of biosecurity (human, animal and plant diseases, and invasive alien species), but with an emphasis on plant health. The geographical locations of the studies are primarily North America, Europe, Australia and New Zealand. Half of the studies were conducted during the past five years. The review finds that there generally seems to be several prioritisation models, especially in the case of invasive plants, but only a select few models are used extensively. Impacts are often accounted for in the model, but the extent and economic sophistication of their inclusion varies. Treatment of uncertainty and feasibility of control was lacking from many studies.;

Author(s):  
J.L. Brock ◽  
J.R. Caradus ◽  
M.J.M. Hay

The importance of white clover in New Zealand pastoral agriculture cannot be overstated. It is the major source of nitrogen and by its presence improves pasture quality and balances seasonal growth of grass species. Because of its importance a considerable effort has been put into research on white clover over the past 50 years in New Zealand. This assay reviews the major advances made in white clover use and research from an historical perspective and summarises current understanding and possible future developments. Keywords: white clover, review, history, soil fertility, N cycling, N fixation, nutrition. growth, population structure, management, performance, breeding, pests and diseases, quality.


2018 ◽  
Vol 9 (2) ◽  
pp. 109-114
Author(s):  
Gheorghe Andrei ◽  
Raluca Gâlmeanu ◽  
Florin Radu

Abstract Accounting it’s an important component of the economic information system. E. Horomnea believes that through specific means and procedures, accounting provides: clarifications of the past and the present of the economic entities, pertinent analyzes that are directed to the market; provides guidance on the strategic future; provides motivations and solutions for the decisions made. This article will analyze the evolution of managerial accounting from traditional costing to the new guidelines, when the issue of creating added value and managing third parties needs represents the future of any information system. After 1987 there are continuous changes and concerns, not only at Romanian level but at world wide scale.


2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.


Author(s):  
John Hunsley ◽  
Eric J. Mash

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.


2021 ◽  
Vol 42 (02) ◽  
pp. 191-195

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.


2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.


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