scholarly journals Kin Recognition in Plants: Did We Learn Anything From Roots?

2022 ◽  
Vol 9 ◽  
Author(s):  
Meredith L. Biedrzycki ◽  
Harsh P. Bais
Keyword(s):  
Resource Allocation ◽  
Shoot Growth ◽  
Kin Recognition ◽  
Intrinsic Value ◽  
Plant Roots ◽  
Future Directions ◽  
Recent Interest ◽  
Multispecies Interactions

Kin recognition, manifesting through various traits such as changes in root or shoot growth, has been documented in several species of plants. Identifying this phenomenon in plants has intrinsic value itself, understanding why plants recognize kin and how it might benefit them evolutionarily has been of recent interest. Here we explore studies regarding nutrient and resource allocation in regard to kin recognition as well as discuss how kin recognition is involved in multispecies interactions with an emphasis on how plant roots are involved in these processes. Future directions of this research are also discussed.

scholarly journals Resource Allocation Techniques in Cloud Computing: A Review and Future Directions

2020 ◽  
Vol 26 (6) ◽  
pp. 40-51
Author(s):  
Muhammad Faraz Manzoor ◽  
Adnan Abid ◽  
Muhammad Shoaib Farooq ◽  
Naeem A. Azam ◽  
Uzma Farooq
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Literature Review ◽  
Service Providers ◽  
Service Level Agreement ◽  
Service Level ◽  
Process Data ◽  
Future Directions ◽  
Computing Model ◽  
Structured Literature Review

Cloud computing has become a very important computing model to process data and execute computationally concentrated applications in pay-per-use method. Resource allocation is a process in which the resources are allocated to consumers by cloud providers based on their flexible requirements. As the data is expanding every day, allocating resources efficiently according to the consumer demand has also become very important, keeping Service Level Agreement (SLA) between service providers and consumers in prospect. This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. In the light of the uniqueness of the models and techniques, the main aim of the resource allocation is to limit the overhead/expenses associated with it. This research aims to present a comprehensive, structured literature review on different aspects of resource allocation in cloud computing, including strategic, target resources, optimization, scheduling and power. More than 50 articles, between year 2007 and 2019, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and they are reviewed under clearly defined objectives. It presents a topical taxonomy of resource allocation dimensions, and articles under each category are discussed and analysed. Lastly, salient future directions in this area are discussed.

scholarly journals Artificial Intelligence in Radiology: Current Technology and Future Directions

2018 ◽  
Vol 22 (05) ◽  
pp. 540-545 ◽  
Author(s):  
Adam Zoga ◽  
Ali Syed
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Current Literature ◽  
Future Directions ◽  
Current Technology ◽  
Recent Interest

AbstractArtificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with the promise of AI and its potential to disrupt the practice of the radiologist. Radiology has often served as the gateway for medical technological advancements, and AI will likely be no different. We present a brief overview of AI advancements that have driven recent interest, offer a review of the current literature, and examine the most likely ways that AI will change radiology in the coming years.

Design of MAC Layer Resource Allocation Schemes for IEEE 802.11ax: Future Directions

2016 ◽  
Vol 35 (1) ◽  
pp. 28-52 ◽  
Author(s):  
Rashid Ali ◽  
Sung Won Kim ◽  
Byung-Seo Kim ◽  
Yongwan Park
Keyword(s):  
Resource Allocation ◽  
Mac Layer ◽  
Future Directions ◽  
Ieee 802.11Ax ◽  
Resource Allocation Schemes

Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges, and Future Directions

2021 ◽  
pp. 251-279
Author(s):  
Sudheer Kumar Battula ◽  
Ranesh Kumar Naha ◽  
Ujjwal KC ◽  
Khizar Hameed ◽  
Saurabh Garg ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Edge Computing ◽  
Future Directions

Clinical practice of interventional and cardiovascular radiology: Current status, guidelines for resource allocation, future directions

2004 ◽  
Vol 1 (10) ◽  
pp. 720-727 ◽  
Author(s):  
James L. Swischuk ◽  
David Sacks ◽  
Michael J. Pentecost ◽  
Matthew A. Mauro ◽  
Kenneth Moresco ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Clinical Practice ◽  
Current Status ◽  
Future Directions ◽  
Cardiovascular Radiology

Folk-economic beliefs as moral intuitions

2018 ◽  
Vol 41 ◽  
Author(s):  
Neil Malhotra
Keyword(s):  
Resource Allocation ◽  
Moral Intuitions ◽  
Economic Beliefs ◽  
Evolutionary Explanations

AbstractAlthough Boyer & Petersen's (B&P's) cataloguing of and evolutionary explanations for folk-economic beliefs is important and valuable, the authors fail to connect their theories to existing explanations for why people do not think like economists. For instance, people often have moral intuitions akin to principles of fairness and justice that conflict with utilitarian approaches to resource allocation.

On Future Directions in Pathology

1982 ◽  
Vol 40 ◽  
pp. 274-277
Author(s):  
Benjamin F. Trump ◽  
Irene K. Berezesky ◽  
Raymond T. Jones
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Clinical Pathology ◽  
Future Directions ◽  
Diagnostic Pathology ◽  
The Past ◽  
Transmission Electron ◽  
Organ Systems ◽  
The Many

The role of electron microscopy and associated techniques is assured in diagnostic pathology. At the present time, most of the progress has been made on tissues examined by transmission electron microscopy (TEM) and correlated with light microscopy (LM) and by cytochemistry using both plastic and paraffin-embedded materials. As mentioned elsewhere in this symposium, this has revolutionized many fields of pathology including diagnostic, anatomic and clinical pathology. It began with the kidney; however, it has now been extended to most other organ systems and to tumor diagnosis in general. The results of the past few years tend to indicate the future directions and needs of this expanding field. Now, in addition to routine EM, pathologists have access to the many newly developed methods and instruments mentioned below which should aid considerably not only in diagnostic pathology but in investigative pathology as well.

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