scholarly journals Offshore Geological Hazards: Charting the Course of Progress and Future Directions

Oceans ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 393-429
Author(s):  
Gemma Ercilla ◽  
David Casas ◽  
Belén Alonso ◽  
Daniele Casalbore ◽  
Jesús Galindo-Zaldívar ◽  
...  
Keyword(s):  
Volcanic Eruptions ◽  
Future Research ◽  
Geological Hazards ◽  
Future Directions ◽  
Sequence Of Events ◽  
Key Characteristics ◽  
Volcanic Islands ◽  
Slope Instabilities ◽  
High Level ◽  
Effective Integration

Offshore geological hazards can occur in any marine domain or environment and represent a serious threat to society, the economy, and the environment. Seismicity, slope sedimentary instabilities, submarine volcanism, fluid flow processes, and bottom currents are considered here because they are the most common hazardous processes; tsunamis are also examined because they are a secondary hazard generated mostly by earthquakes, slope instabilities, or volcanic eruptions. The hazards can co-occur and interact, inducing a cascading sequence of events, especially in certain contexts, such as tectonic indentations, volcanic islands, and canyon heads close to the coast. We analyze the key characteristics and main shortcomings of offshore geological hazards to identify their present and future directions for marine geoscience investigations of their identification and characterization. This review establishes that future research will rely on studies including a high level of multidisciplinarity. This approach, which also involves scientific and technological challenges, will require effective integration and interplay between multiscale analysis, mapping, direct deep-sea observations and testing, modelling, and linking offshore observations with onshore observations.

Researching microcelebrity: Methods, access and labour

First Monday ◽  
2016 ◽  
Author(s):  
Jonathan Mavroudis ◽  
Esther Milne
Keyword(s):  
Social Media ◽  
Los Angeles ◽  
Social Relations ◽  
Future Research ◽  
Social Media Analytics ◽  
Public Performance ◽  
Cultural Impact ◽  
Future Directions ◽  
Primary Focus ◽  
High Level

The term “microcelebrity” describes a broad range of practices, platforms and social relations that includes but is not limited to the increasing significance of public performance in everyday life, the monetisation of social media and the widening scope of what constitutes celebrity culture. While contemporary research on microcelebrity has introduced important ways of discussing the cultural impact of these new forms of visibility, the methodological focus has generally been on discourse analysis and social media analytics. In response, this paper reports on the early stages of a research project which involves interviewing microcelebrities living in Los Angeles about their profile creation on Instagram and YouTube. We argue there are significant issues at play in relation to gaining access to the interview subjects. The paper outlines the methods used and explores how the issue of access is negotiated by the interview subjects and the researcher. Since one of the authors, Jonathan Mavroudis, himself identifies as a microcelebrity with over 25,000 followers on Instagram he is in a unique position to interview these people. This high level of access to a specific cohort of microcelebrities has not been easy to gain for many academic researchers. Jonathan’s microcelebrity status opens up the possibility of conducting autoethnographic research and this is framed as a discussion of relational ethics. Although the primary focus of the paper is on method we also want to discuss early suggestive themes arising from the data including the obligations felt by these microcelebrities to enact a particular mode of identity and how this is experienced as labour. We highlight these initial topics in order to bring context to the discussion of method. Access enables and constrains certain forms of research to occur and in so doing raises questions of trust and friendship. With only 3 interviews conducted to date this is not, of course, representative of all microcelebrities. However it can function as a snapshot of early findings that we hope will inform future research methods and conceptual debates. The paper concludes with some suggestions for future directions of the field more generally.

A Novel Survey on Blockchain for Internet of Things

2020 ◽  
pp. 68-90
Author(s):  
Jay Kumar Jain ◽  
Varsha Jain
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Human Life ◽  
Future Research ◽  
Future Directions ◽  
Iot Applications ◽  
Lack Of Information ◽  
Financial Benefits ◽  
Key Characteristics ◽  
The Internet Of Things

Internet of things (IoT) is ready to change human life and release tremendous financial benefits. It may be that lack of information security and the belief of the current IoT are actually restricting its selection. Blockchain changes in an appropriated and secure record holds reliable records of information in various areas and possibly resolves information security concerns in the IoT system. This chapter presents a thorough review on the existing blockchain progress with an accent on IoT applications. The authors first give an overview of blockchain architecture including blockchain technologies and key characteristics of blockchain. The authors then discuss the blockchain for the internet of things including blockchain for IoT: technologies. Furthermore, they list some challenges and problems that will hinder blockchain development and summarize some existing approaches for solving these problems. Some possible future directions are also discussed. Future research bearings are ordered for a viable mix of blockchains in the IoT system.

Sport Communication: A Multidimensional Assessment of the Field’s Development

2014 ◽  
Vol 7 (3) ◽  
pp. 289-316 ◽  
Author(s):  
Gashaw Abeza ◽  
Norm O’Reilly ◽  
John Nadeau
Keyword(s):  
Social Science ◽  
Current Status ◽  
Future Research ◽  
Future Directions ◽  
Organized Sport ◽  
Sport Communication ◽  
Multidimensional Assessment ◽  
The Past ◽  
Body Of Knowledge ◽  
High Level

Sport and communication have existed since humans began interacting with one another, with organized sport and planned communication formalized for hundreds of years. However, social science scholars have only taken a high-level of interest in sport communication over the past decade. Over the past 10 years, much has been written and researched in the field, and its formalization continues, justifying a need for a review of its current status and the articulation of its future directions. Thus, this article identifies and critically discusses the developments in the field of sport communication in terms of its academic infrastructures and the resulting body of knowledge. It also assesses how the field’s developments are affecting scholarly advancements and identifies areas of “disciplinary pain.” The work concludes by providing suggestions for future research.

Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs

Methodology ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 9-22 ◽  
Author(s):  
Pablo Livacic-Rojas ◽  
Guillermo Vallejo ◽  
Paula Fernández ◽  
Ellián Tuero-Herrero
Keyword(s):  
Repeated Measures ◽  
Statistical Power ◽  
Mixed Model ◽  
Covariance Structure ◽  
Simulation Method ◽  
Future Research ◽  
Repeated Measures Design ◽  
Fixed And Random Effects ◽  
Split Plot ◽  
High Level

Abstract. Low precision of the inferences of data analyzed with univariate or multivariate models of the Analysis of Variance (ANOVA) in repeated-measures design is associated to the absence of normality distribution of data, nonspherical covariance structures and free variation of the variance and covariance, the lack of knowledge of the error structure underlying the data, and the wrong choice of covariance structure from different selectors. In this study, levels of statistical power presented the Modified Brown Forsythe (MBF) and two procedures with the Mixed-Model Approaches (the Akaike’s Criterion, the Correctly Identified Model [CIM]) are compared. The data were analyzed using Monte Carlo simulation method with the statistical package SAS 9.2, a split-plot design, and considering six manipulated variables. The results show that the procedures exhibit high statistical power levels for within and interactional effects, and moderate and low levels for the between-groups effects under the different conditions analyzed. For the latter, only the Modified Brown Forsythe shows high level of power mainly for groups with 30 cases and Unstructured (UN) and Autoregressive Heterogeneity (ARH) matrices. For this reason, we recommend using this procedure since it exhibits higher levels of power for all effects and does not require a matrix type that underlies the structure of the data. Future research needs to be done in order to compare the power with corrected selectors using single-level and multilevel designs for fixed and random effects.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

Mix Networks: Existing Scenarios and Future Directions on Security and Privacy

2019 ◽  
Vol 14 ◽  
Author(s):  
Khaleel Ahmad ◽  
Afsar Kamal
Keyword(s):  
Security And Privacy ◽  
Research Progress ◽  
Future Research ◽  
Future Directions ◽  
Practical Solution ◽  
Research Gap ◽  
The Web ◽  
Privacy Enhancing Techniques

Background: Privacy enhancing techniques are developed in order to provide strong protection to cyberspace. These techniques aim to allow users to keep their identities hidden during the communication when they are sending email, making payments online, browsing the Web or posting to newsgroups. MixNet is the most practical solution for concealing identities of message and sender’s identities. Objective: It provides sender and receiver anonymity as well as message security. The main goal of MixNet is to overcome vulnerability and enhance the performance of communication. It can efficiently handle the messages of various length and produce desirable results with privacy. The main objective of this paper is to acquire information and concepts regarding MixNet. We also provide guidelines for future research and references. Methods : The designing of MixNet depends on what cryptosystem method is used. Symmetric and Asymmetric both are used. Other methods could be also used such as PIR, CSP and FDR model, RPC, Token-based approach or others. Result: In this paper we provide an overview of MixNet approaches and presented a survey on MixNet based techniques and different models. We also constructed the comparison tables as per our requirements for better understanding. For this purpose, we found a total of 120 articles related to the MixNet published between 1990 and 2018 from the most relevant scientific resources. However, only 86 papers were analyzed due to comprehensiveness and relevancy to this article. Conclusion: Focused on the security and privacy of communication and how it can be achieved. This survey also reveals research progress and research gap on MixNet.

Conclusions and Future Directions for the Study of Accurate Personality Judgment

2020 ◽  
Author(s):  
Tera D. Letzring
Keyword(s):  
Standardized Tests ◽  
Personality Trait ◽  
Training Programs ◽  
Future Research ◽  
Research Topics ◽  
Theoretical Frameworks ◽  
Future Directions ◽  
Personality Judgment ◽  
Exciting Time ◽  
And Training

This chapter identifies several well-established findings and overarching themes within personality trait accuracy research, and highlights especially promising directions for future research. Topics include (1) theoretical frameworks for accuracy, (2) moderators of accuracy and the context or situation in which judgments are made, (3) the important consequences of accuracy, (4) interventions and training programs to increase judgmental ability and judgability, (5) the generalizability of previous findings, and (6) standardized tests of the accuracy of judging personality traits. The chapter ends by stating that it is an exciting time to be a researcher studying the accuracy of personality trait judgments.

scholarly journals Opportunities and Challenges of Green-Lean: An Integrated System for Sustainable Construction

2020 ◽  
Vol 12 (11) ◽  
pp. 4460 ◽  
Author(s):  
Mohammadsoroush Tafazzoli ◽  
Ehsan Mousavi ◽  
Sharareh Kermanshachi
Keyword(s):  
Cost Savings ◽  
Integrated Approach ◽  
Integrated System ◽  
Waste Minimization ◽  
Sustainable Construction ◽  
Future Research ◽  
Safety Improvement ◽  
The Individual ◽  
High Level ◽  
Industry Professionals

Although the two concepts of lean and sustainable construction have been developed due to different incentives, and they do not pursue the same exact goals, there exists considerable commonality between them. This paper discusses the potentials for integrating the two approaches and their practices and how the resulting synergy from combining the two methods can potentially lead to higher levels of fulfilling the individual goals of each of them. Some limitations and challenges to implementing the integrated approach are also discussed. Based on a comprehensive review of existing papers related to sustainable and lean construction topics, the commonality between the two approaches is discussed and grouped in five categories of (1) cost savings, (2) waste minimization, (3) Jobsite safety improvement, (4) reduced energy consumption, and (5) customers’ satisfaction improvement. The challenges of this integration are similarly identified and discussed in the four main categories of (1) additional initial costs to the project, (2) difficulty of providing specialized expertise, (3) contractors’ unwillingness to adopt the additional requirements, and (4) challenges to establish a high level of teamwork. Industry professionals were then interviewed to rank the elements in each of the two categories of opportunities and challenges. The results of the study highlight how future research can pursue the development of a new Green-Lean approach by investing in the communalities and meeting the challenges of this integration.

scholarly journals FRI0632-HPR PSYCHOLOGICAL PARTICULIARITIES OF PATIENTS SUFFERING FROM MONOGENIC AUTO-INFLAMMATORY DISEASES.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 920.1-921
Author(s):  
N. Stepanenko ◽  
E. Fedorov ◽  
S. Salugina ◽  
S. Feoktistova
Keyword(s):  
Inflammatory Diseases ◽  
Life Quality ◽  
Information Storage ◽  
Social Adaptation ◽  
Long Term Memory ◽  
Short Term ◽  
Sequence Of Events ◽  
Communicative Disorders ◽  
Negative Effect ◽  
High Level

Background:Monogenic auto-inflammatory diseases (mAID) are a group of severe chronic multisystemic diseases with recurring episodes of fever and other manifestations that significantly affect the patients’ life quality. Moreover, the hyper expression of pro-inflammatory cytokines (IL1β, etc.) observed in these patients may have a negative effect on the central nervous system.Objectives:to study the state of the cognitive and emotional spheres in children suffering from monogenic auto-inflammatory diseases.Methods:there were examined 22 children at the age of 7 to 17 years old diagnosed with CAPS-9, TRAPS-8, FMF-5. Among them there were 12 boys and 10 girls. The diagnosis in all the patients was confirmed through detection of pathogenic mutations in the NLRP3, TNFRSF1A and MEFV genes. The following methods were used: a clinical conversation; memory diagnostics (learning by heart of 10 words, a pictogram using cues taking into account the patients’ age); attention diagnostics (Schulte tables); thinking diagnostics (establishing a sequence of events, “four is a crwod”, simple analogies, interpretation of proverbs); emotional and communicative fields (the Eight-Color Luscher Test; CMAS (adaptation by A. Prikhozhan); STAI test, a drawing called “an animal that does not exist” and “a house-a tree-a man”).Results:The memory study revealed in all patients with TRAPS and FMF high and medium values of short-term and long-term memory, in patients with CAPS - a low level of short-term auditory-speech memory, information storage and indirect memorization in 1/3 of patients. In 100% of the examined patients with TRAPS, a significant decrease in all processes of attention and distribution of attention. In 1/3 of patients with CAPS, an increased exhaustion of attention was registered and in 11% - a decrease in its stability. In patients with FMF, attention disorders were not detected. In 44% of patients with CAPS, a decrease in the level of generalization and difficulties in establishing causal relationships were registered. In 25% of patients with TRAPS a decrease in the level of generalization, in 12.5%- difficulties in establishing cause-effect relationships, inertia of thinking in 37.5%. In 60% of patients with FMF: a decrease in the level of generalization, in 80%: difficulties in establishing cause-effect relationships, inertia of thinking in 20%. In the emotional sphere, patients with CAPS, TRAPS, and FMF demonstrated signs of aggression (11.1%, 20% and 20% of patients, respectively), communicative disorders (77.8% -80% - 80%), and reduced social adaptation (55.5% - 80% - 80%), a tendency to form neurotic fears (22% - 40% - 40%). A high level of personal anxiety was noted in 1/3 of patients with CAPS and 40% of patients with FMF.Conclusion:various psychological disorders in the cognitive and emotional fields were noted in the majority of the examined patients with monogenic auto-inflammatory diseases. In patients with TRAPS, attention processes are most significantly affected; in patients with CAPS, memory is more often affected. In patients with FMF, disorders in thinking processes are revealed more often. In the emotional sphere, most patients with all the three forms of AID note communicative disorders and social adaptation.Disclosure of Interests:None declared

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

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