scholarly journals Special Issue “Interplay between Fungal Pathogens and Harvested Crops and Fruits”

2021 ◽  
Vol 9 (3) ◽  
pp. 553
Author(s):  
Dov B. Prusky ◽  
Edward Sionov
Keyword(s):  
Fungal Pathogens ◽  
Future Research ◽  
Fungal Colonization ◽  
Original Research ◽  
Special Issue ◽  
Pathogenicity Factors ◽  
Fruit Maturity ◽  
Wide Range ◽  
Future Research Directions ◽  
Food Toxin

The interplay between fungal pathogens and harvest crops is important in determining the extent of food losses following the storage and transport of crops to consumers. The specific factors modulating the activation of colonization are of key importance to determining the initiation of fungal colonization and host losses. It is clear nowadays from the wide number of transcription studies in colonized fruits that pathogenicity in postharvest produce is not only the result of activation of fungal pathogenicity factors but is significantly contributed to fruit maturity and ripening. In this editorial summary of the Special Issue “Interplay between Fungal Pathogens and Harvested Crops and Fruits”, we present a short summary of future research directions on the importance of the interplay between fruit and pathogens and nine published papers (one review and eight original research papers), covering a wide range of subjects within the mechanism of pathogenicity by postharvest pathogens, including transcriptome analysis of pathogenesis, pathogenicity factors, new antifungal compounds and food toxin occurrence by pathogens. This summary may lead the reader to understand the key factors modulating pathogenicity in fruits.

scholarly journals A matrix-less method to approximate the spectrum and the spectral function of Toeplitz matrices with real eigenvalues

2021 ◽  
Author(s):  
Sven-Erik Ekström ◽  
Paris Vassalos
Keyword(s):  
Distribution Function ◽  
Asymptotic Distribution ◽  
Numerical Experiments ◽  
Toeplitz Matrices ◽  
Future Research ◽  
Research Directions ◽  
Numerical Examples ◽  
Working Hypothesis ◽  
Wide Range ◽  
Future Research Directions

AbstractIt is known that the generating function f of a sequence of Toeplitz matrices {Tn(f)}n may not describe the asymptotic distribution of the eigenvalues of Tn(f) if f is not real. In this paper, we assume as a working hypothesis that, if the eigenvalues of Tn(f) are real for all n, then they admit an asymptotic expansion of the same type as considered in previous works, where the first function, called the eigenvalue symbol $\mathfrak {f}$ f , appearing in this expansion is real and describes the asymptotic distribution of the eigenvalues of Tn(f). This eigenvalue symbol $\mathfrak {f}$ f is in general not known in closed form. After validating this working hypothesis through a number of numerical experiments, we propose a matrix-less algorithm in order to approximate the eigenvalue distribution function $\mathfrak {f}$ f . The proposed algorithm, which opposed to previous versions, does not need any information about neither f nor $\mathfrak {f}$ f is tested on a wide range of numerical examples; in some cases, we are even able to find the analytical expression of $\mathfrak {f}$ f . Future research directions are outlined at the end of the paper.

scholarly journals CubeSat Communications: Recent Advances and Future Challenges

2020 ◽  
Author(s):  
Nasir Saeed ◽  
Ahmed Elzanaty ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
...  
Keyword(s):  
Channel Modeling ◽  
Future Research ◽  
New Paradigm ◽  
Earth Remote Sensing ◽  
Research Directions ◽  
Space Industry ◽  
Recent Advances ◽  
Wide Range ◽  
Future Challenges ◽  
Future Research Directions

<pre><pre>Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as CubeSats, which are enticing because of their numerous applications and low design-and-deployment cost. </pre><pre>The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity.</pre><pre>CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system.</pre><pre>This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives.</pre><pre>We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking.</pre><pre>Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.</pre></pre>

scholarly journals A Systematic Survey on Deep Generative Models for Graph Generation

2020 ◽  
Author(s):  
Xiaojie Guo ◽  
Liang Zhao
Keyword(s):  
Generative Models ◽  
Future Research ◽  
Specific Domain ◽  
Research Directions ◽  
Wide Range ◽  
Data Representations ◽  
Future Research Directions ◽  
Definition Of ◽  
Rich History ◽  
Graph Generation

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios. As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs. Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs. Recent advances in deep generative models for graph generation is an important step towards improving the fidelity of generated graphs and paves the way for new kinds of applications. This article provides an extensive overview of the literature in the field of deep generative models for graph generation. Firstly, the formal definition of deep generative models for the graph generation as well as preliminary knowledge is provided. Secondly, two taxonomies of deep generative models for unconditional, and conditional graph generation respectively are proposed; the existing works of each are compared and analyzed. After that, an overview of the evaluation metrics in this specific domain is provided. Finally, the applications that deep graph generation enables are summarized and five promising future research directions are highlighted.

Harambee: Pulling it All Together

2017 ◽  
Vol 119 (1) ◽  
pp. 1-6
Author(s):  
Adrienne D. Dixson ◽  
Gloria Ladson-Billings
Keyword(s):  
Teacher Educators ◽  
Culturally Relevant ◽  
Future Research ◽  
Special Issue ◽  
Research Directions ◽  
The Future ◽  
Future Research Directions ◽  
Common Understanding

The articles in this special issue represent both our attempt as editors to survey the field and provide some clarity for practitioners and teacher educators on fundamental ideas that frame CRP, not to limit its implementation or future research directions, but to ensure that as a community of educators and scholars, we share a common understanding of exactly what it means to be culturally relevant. The articles in this special issue provide both that clarity of the field, and vision for the future.

Music Onset Detection

2010 ◽  
pp. 297-316
Author(s):  
Ruohua Zhou ◽  
Josh D Reiss
Keyword(s):  
Performance Measures ◽  
Essential Role ◽  
General Scheme ◽  
Future Research ◽  
Onset Detection ◽  
Time Frequency ◽  
Detection Algorithms ◽  
Music Signal ◽  
Wide Range ◽  
Future Research Directions

Music onset detection plays an essential role in music signal processing and has a wide range of applications. This chapter provides a step by step introduction to the design of music onset detection algorithms. The general scheme and commonly-used time-frequency analysis for onset detection are introduced. Many methods are reviewed, and some typical energy-based, phase-based, pitch-based and supervised learning methods are described in detail. The commonly used performance measures, onset annotation software, public database and evaluation methods are introduced. The performance difference between energy-based and pitch-based method is discussed. The future research directions for music onset detection are also described.

Prices on the Internet

2010 ◽  
pp. 36-45
Author(s):  
Jihui Chen
Keyword(s):  
Price Dispersion ◽  
Future Research ◽  
The Internet ◽  
Extensive Literature ◽  
Price Information ◽  
Internet Pricing ◽  
Online Retailers ◽  
Wide Range ◽  
Future Research Directions

In the pre-Internet era, consumers relied on media such as Sunday newspapers and flyers for product and price information. Such a search process is time-consuming and unlikely to be exhaustive. Existence of incomplete information has been shown to lead to price dispersion (Stigler, 1961). Recent advances in information technology have dramatically changed the manner by which consumers and businesses gather and transmit information. With a few mouse-clicks, consumers are able to compare price information from a wide range of vendors. With the advent of the Internet, especially the introduction of price comparison sites or shopbots, competition among online retailers escalates and we might expect prices to converge in the new economy. However, substantially decreased transaction cost has apparently not led to online price convergence. An extensive literature on Internet pricing has documented persistent price dispersion in online markets. In this chapter, I review price dispersion and related literatures, and discuss future research directions.

Modern Downsizing

2021 ◽  
pp. 1970-1983
Author(s):  
Grzegorz Wojtkowiak
Keyword(s):  
Financial Analysis ◽  
Management Tool ◽  
Future Research ◽  
Research Directions ◽  
Good Practices ◽  
Strategic Option ◽  
Wide Range ◽  
Future Research Directions ◽  
Points Of View

The aim of the chapter is to present the concept of downsizing from different points of view: as a strategic option, as a management tool and as a phenomenon. It describes the evolution of the term, its definitions, and different directions of development. A scale and possible outcomes are described on the basis of financial analysis; however it also discusses the role of non-financial aspects. The chapter points out reasons, aims and a wide range of tools that may be used during implementation of downsizing. One of the conclusions of the chapter is to present future research directions aiming at increasing knowledge of managers and providing them with detailed good practices.

scholarly journals Introduction: special issue on the economics of climate change and sustainability (Part A)

2019 ◽  
Vol 24 (6) ◽  
pp. 555-559
Author(s):  
Elettra Agliardi ◽  
Marco Casari ◽  
Anastasios Xepapadeas
Keyword(s):  
Climate Change ◽  
International Workshop ◽  
Future Research ◽  
Location Decisions ◽  
Special Issue ◽  
Subsequent Issue ◽  
Wide Range ◽  
Experimental Approaches ◽  
Economics Department ◽  
The University

AbstractClimate change is one of the most significant and complex challenges facing the world's economies. The necessity to enlarge the knowledge base regarding climate change and its impacts and to design efficient policies is widely accepted by the scientific community, the decision makers and the general public. This special issue, which will be published in two parts in the current and subsequent issue of Environment and Development Economics, is a selection of papers related to the topic of the international workshop on ‘The Economics of Climate Change and Sustainability’ organized by the Economics Department of the University of Bologna in April 2018. The papers in this special issue cover a wide range of climate-change-related topics, which include endogenous growth and overlapping generation models; climate-related financing and green bonds; demographics; location decisions; technology diffusion; quantitative relationships and experimental approaches. We hope that this special issue will provide some new insights into the economics of climate change and help to identify new directions for future research.

scholarly journals Knowledge Co-Production and Transdisciplinarity: Opening Pandora’s Box

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1997 ◽  
Author(s):  
Marcela Brugnach ◽  
Gül Özerol
Keyword(s):  
Water Governance ◽  
Future Research ◽  
Special Issue ◽  
Governance System ◽  
Water Research ◽  
Political Implications ◽  
Significant Step ◽  
Future Research Directions ◽  
The Individual ◽  
Thought Styles

This Special Issue aims to reflect on knowledge co-production and transdisciplinarity, exploring the mutual interaction between water governance and water research. We do so with contributions that bring examples from diverse parts of the world: Bolivia, Canada, Germany, Ghana, Namibia, the Netherlands, Palestine, and South Africa. Key insights brought by these contributions include the importance of engaging the actors from early stages of transdisciplinary research, and the need for an in-depth understanding of the diverse needs, competences, and power of actors and the water governance system in which knowledge co-production takes place. Further, several future research directions are identified, such as the examination of knowledge backgrounds according to the individual and collective thought styles of different actors. Together, the eight papers included in this Special Issue constitute a significant step toward a better understanding of knowledge co-production and transdisciplinarity, with a common thread for being reflective and clear about their complexity, and the political implications and risks they pose for inclusive, plural and just water research and governance.

Aspects of battle damage repair of helicopter structures

2010 ◽  
Vol 114 (1155) ◽  
pp. 321-332 ◽  
Author(s):  
J. Wang ◽  
A. Baker
Keyword(s):  
Composite Structures ◽  
Future Research ◽  
Research Directions ◽  
Strength Assessment ◽  
Damage Prediction ◽  
Damage Repair ◽  
Repair Materials ◽  
Wide Range ◽  
Future Research Directions ◽  
Non Destructive

Abstract This paper summarises recent research conducted at the Defence Science and Technology Organisation in the area of aircraft battle damage repair, covering aspects such as ballistic testing, ballistic damage prediction, non-destructive damage inspection, structure residual-strength assessment, repair materials and techniques, repair design approaches, repair implementation and demonstration. The research has been focused on military helicopter composite structures. This paper provides an overview of a wide range of research conducted and detailed information in selected areas. Considerations for future research directions are also briefly discussed.

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