scholarly journals Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

2021 ◽  
Vol 2 ◽  
pp. 1-21
Author(s):  
Gengchen Mai ◽  
Krzysztof Janowicz ◽  
Rui Zhu ◽  
Ling Cai ◽  
Ni Lao
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Question Answering ◽  
Future Research ◽  
Open Domain ◽  
Future Directions ◽  
Research Directions ◽  
Classification Framework ◽  
Substantial Progress ◽  
Future Research Directions

Abstract. As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at generating answers to questions phrased in natural language. While there has been substantial progress in open-domain question answering, QA systems are still struggling to answer questions which involve geographic entities or concepts and that require spatial operations. In this paper, we discuss the problem of geographic question answering (GeoQA). We first investigate the reasons why geographic questions are difficult to answer by analyzing challenges of geographic questions. We discuss the uniqueness of geographic questions compared to general QA. Then we review existing work on GeoQA and classify them by the types of questions they can address. Based on this survey, we provide a generic classification framework for geographic questions. Finally, we conclude our work by pointing out unique future research directions for GeoQA.

scholarly journals Selective Harvesting Robotics: Current Research, Trends, and Future Directions

2021 ◽  
Author(s):  
Gert Kootstra ◽  
Xin Wang ◽  
Pieter M. Blok ◽  
Jochen Hemming ◽  
Eldert van Henten
Keyword(s):  
Review Paper ◽  
Production Systems ◽  
Future Research ◽  
Limiting Factor ◽  
Future Directions ◽  
Research Directions ◽  
Selective Harvesting ◽  
Important Solution ◽  
Future Research Directions ◽  
Current Systems

Abstract Purpose of Review The world-wide demand for agricultural products is rapidly growing. However, despite the growing population, labor shortage becomes a limiting factor for agricultural production. Further automation of agriculture is an important solution to tackle these challenges. Recent Findings Selective harvesting of high-value crops, such as apples, tomatoes, and broccoli, is currently mainly performed by humans, rendering it one of the most labor-intensive and expensive agricultural tasks. This explains the large interest in the development of selective harvesting robots. Selective harvesting, however, is a challenging task for a robot, due to the high levels of variation and incomplete information, as well as safety. Summary This review paper provides an overview of the state of the art in selective harvesting robotics in three different production systems; greenhouse, orchard, and open field. The limitations of current systems are discussed, and future research directions are proposed.

scholarly journals “Nanomaterials of curcumin-hyaluronic acid”: their various methods of formulations, clinical and therapeutic applications, present gap, and future directions

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Tanzeel Rehman Charan ◽  
Muhammad Aqeel Bhutto ◽  
Mihr Ali Bhutto ◽  
Azhar Ali Tunio ◽  
Ghulam Murtaza Khuhro ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Hyaluronic Acid ◽  
Future Research ◽  
Main Body ◽  
Future Directions ◽  
Research Directions ◽  
Safety And Efficacy ◽  
Therapeutic Applications ◽  
Future Research Directions ◽  
Neural Disorders

Abstract Background Nanomaterials of curcumin with hyaluronic acid have gained a lot of attention for potential therapeutic applications of curcumin and hyaluronic acid with or without other additional drugs. Overall studies of curcumin and hyaluronic acid show that nanomaterials of curcumin with hyaluronic acid accelerate the efficacy of curcumin in the treatment of various disorders like arthritis, cancer, hepatic fibrosis, neural disorders, wound healing, and skin regeneration, it is largely due to the combined effect of hyaluronic acid and curcumin. However, due to limited clinical trials and experiments on humans and animals, there is a substantial gap in research for the safety and efficacy of nanomaterials of curcumin-hyaluronic acid in the treatment of curcumin and hyaluronic acid targeted diseases and disorders. Main body of the abstract In this current review, we have first described various reported synthetic nanomaterials of curcumin-hyaluronic acid, then in the next section, we have described various fields, disorders, and diseases where these are being applied and in the final section of this review, we discussed the research gap, and future research directions needed to propose the fabricated nanocurcumin-hyaluronic acid biomaterials. Short conclusion There are substantial gaps in research for the safety and efficacy of nanomaterials of curcumin with hyaluronic acid due to limited available data of clinical trials and experiments of nanocurcumin-hyaluronic acid biomaterials on humans and animals. So, it entirely requires serious and committed efforts through the well-organized system of practical and clinical trials which provide results, data, and detections that lead to the formulation of the best drug from curcumin with hyaluronic acid for the treatment of curcumin and hyaluronic acid targeted diseases and disorders.

Artificial Intelligence Review

2019 ◽  
pp. 23-39
Author(s):  
Amal Kilani ◽  
Ahmed Ben Hamida ◽  
Habib Hamam
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Intelligent System ◽  
Route Planning ◽  
Turing Test ◽  
Future Research ◽  
Interaction Data ◽  
Research Directions ◽  
Future Research Directions

In this chapter, the authors present a profound literature review of artificial intelligence (AI). After defining it, they briefly cover its history and enumerate its principal fields of application. They name, for example, information system, commerce, image processing, human-computer interaction, data compression, robotics, route planning, etc. Moreover, the test that defines an artificially intelligent system, called the Turing test, is also defined and detailed. Afterwards, the authors describe some AI tools such as fuzzy logic, genetic algorithms, and swarm intelligence. Special attention will be given to neural networks and fuzzy logic. The authors also present the future research directions and ethics.

Artificial Intelligence

2019 ◽  
pp. 13-22
Author(s):  
Steven Walczak
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Future Research ◽  
Human Intelligence ◽  
Research Directions ◽  
Intelligent Machines ◽  
History Of ◽  
Future Research Directions ◽  
New Research

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.

Reorganizing Organizational Politics Research: A Review of the Literature and Identification of Future Research Directions

2019 ◽  
Vol 6 (1) ◽  
pp. 299-323 ◽  
Author(s):  
Gerald R. Ferris ◽  
B. Parker Ellen ◽  
Charn P. McAllister ◽  
Liam P. Maher
Keyword(s):  
Organizational Politics ◽  
Future Research ◽  
Review Of The Literature ◽  
Future Directions ◽  
Research Directions ◽  
Perceptions Of Organizational Politics ◽  
Political Outcomes ◽  
Future Research Directions ◽  
Political Actions ◽  
New Framework

Organizational politics has been an oft-studied phenomenon for nearly four decades. Prior reviews have described research in this stream as aligning with one of three categories: perceptions of organizational politics (POPs), political behavior, or political skill. We suggest that because these categories are at the construct level research on organizational politics has been artificially constrained. Thus, we suggest a new framework with higher-level categories within which to classify organizational politics research: political characteristics, political actions, and political outcomes. We then provide a broad review of the literature applicable to these new categories and discuss the possibilities for future research within each expanded category. Finally, we close with a discussion of future directions for organizational politics research across the categories.

scholarly journals Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

2020 ◽  
Vol 9 (2) ◽  
pp. 21 ◽  
Author(s):  
Martins O. Osifeko ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Energy Efficient ◽  
State Of The Art ◽  
Future Internet ◽  
Future Research ◽  
Research Directions ◽  
Efficient Data ◽  
Future Research Directions ◽  
Efficient Data Collection

Smart, secure and energy-efficient data collection (DC) processes are key to the realization of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this domain have motivated research efforts towards providing cognitive solutions for IoT usage. One such solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart, secure and energy-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications. We present some state-of-the-art approaches, potentials, and challenges of AI techniques for the identified solutions. This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.

Green competencies: insights and recommendations from a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clement Cabral ◽  
Rajib Lochan Dhar
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Thematic Analysis ◽  
Descriptive Analysis ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Classification Framework ◽  
Future Research Directions ◽  
Research Gap

PurposeThis study conceptualises the construct – green competencies. The concept is in the niche stage and needs further elaboration. Hence, to address the research gap, this study follows the steps proposed by Tranfield et al. (2003). The major part of the study comprises descriptive analysis and thematic analysis. Descriptive analysis of the selected 66 articles was examined with the classification framework, which contains year-wise distribution, journal-wise distribution, the focus of the concept, the economic sector, and dimensions of sustainable development. The paper conducts a thematic analysis of the following research questions. What are the green competencies and their conceptual definition? What are their dimensions?Design/methodology/approachThis paper applies a systematic literature review of green competencies literature, extends the state-of-the-art using the natural resource-based view, and discusses future research directions for academicians and practitioners.FindingsIn recent years, there was considerable interest in green competencies (GC), as reflected in the surge of articles published in this genre. This paper asserts that green competencies are a multidimensional construct comprised of green knowledge, green skills, green abilities, green attitudes, green behaviours, and green awareness.Originality/valueDespite the significance of green competencies, there has been a dearth of study to define the constructs and identify the dimensions. Hence, this study addresses the literature gap by conceptualisation and discusses dimensions of the construct.

scholarly journals Current developments and future directions in respiratory physiotherapy

2020 ◽  
Vol 29 (158) ◽  
pp. 200264
Author(s):  
Antenor Rodrigues ◽  
Gerard Muñoz Castro ◽  
Cristina Jácome ◽  
Daniel Langer ◽  
Selina M. Parry ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Integrated Care ◽  
Respiratory Diseases ◽  
Respiratory Therapy ◽  
Current Evidence ◽  
Future Research ◽  
Future Directions ◽  
Research Directions ◽  
Future Research Directions ◽  
Respiratory Physiotherapy

Respiratory physiotherapists have a key role within the integrated care continuum of patients with respiratory diseases. The current narrative review highlights the profession's diversity, summarises the current evidence and practice, and addresses future research directions in respiratory physiotherapy. Herein, we describe an overview of the areas that respiratory physiotherapists can act in the integrated care of patients with respiratory diseases based on the Harmonised Education in Respiratory Medicine for European Specialists syllabus. In addition, we highlight areas in which further evidence needs to be gathered to confirm the effectiveness of respiratory therapy techniques. Where appropriate, we made recommendations for clinical practice based on current international guidelines.

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