Conclusion and Future Directions

2018 ◽  
pp. 164-176
Keyword(s):  
Problem Solving ◽  
Everyday Life ◽  
Automatic Detection ◽  
Freedom Of Speech ◽  
Future Research ◽  
Third Way ◽  
Future Directions ◽  
Cyberbullying Detection

In this chapter, the authors summarize the research performed so far on automatic cyberbullying detection, which was the topic of this book. They summarize all chapters of the book. Next, they propose a general discussion of the potential and limitations of technology-based methods for detecting and preventing cyberbullying. They also ask what the ethical boundaries are for such technology to operate in everyday life. Should we allow constant surveillance for the sake of safety? Should we limit the technology, thus taking away its true problem-solving potential to match our freedom of speech? Or is there a third way in which both the technology is used to meet its potential, while not taking away the feeling of freedom? Let questions which arise during this last chapter become guidelines for future research on automatic detection and mitigation of cyberbullying.

İNSAN KAYNAKLARI YÖNETİCİLERİNİN LİDERLİK TARZI, YARATICI PROBLEM ÇÖZME KAPASİTESİ VE KARİYER TATMİNİ ARASINDAKİ İLİŞKİLERİN ARAŞTIRILMASI: AMPİRİK BİR ÇALIŞMA

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Hüseyin YILMAZ
Keyword(s):  
Problem Solving ◽  
Human Resources ◽  
Leadership Style ◽  
Career Satisfaction ◽  
Leadership Behavior ◽  
Future Research ◽  
Creative Problem Solving ◽  
Democratic Leadership ◽  
Creative Problem ◽  
The Relationship

The aim of this study is the creative problem-solving capacity of the organization with leadership behaviors of human resources managers and employees to examine the relationship between career satisfaction and is tested empirically. Research within the scope of the required data structured questionnaire method, operating in the province of Aydin was obtained from 130 employees working in five star hotels. Democratic leadership style according to the factor analysis, easygoing, participants converter, and releasing autocratic leadership dimensions were determined. According to the analysis, the dependent variable with a significant level of research and positive leadership style has been determined that no relationships. Regression analysis revealed that the leadership of the relationship with the creative problem-solving capacity of democratic leadership in style when found to be stronger than other leadership styles, while the variable describing the career of the employee satisfaction level of the maximum it was concluded that the creative problem-solving capacity of the organization. Research in the context of human resources on the very important for organizations, leadership behavior, creative problem-solving capacity and career satisfaction studies analyzing the relationships between variables it seems to be quite limited. The discovery by analyzing the relationship between the aforementioned variables, can make significant contributions to knowledge in the literature and are expected to form the basis for future research.

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.

Collaborative Remembering in Dementia: A Focus on Joint Activities

2018 ◽  
Author(s):  
Lars-Christer Hydén ◽  
Mattias Forsblad
Keyword(s):  
Everyday Life ◽  
Past Research ◽  
Research Field ◽  
Future Research ◽  
Research Needs ◽  
Joint Activities ◽  
Do So ◽  
Dementia Diseases

In this chapter we consider collaborative remembering and joint activates in everyday life in the case of people living with dementia. First, we review past research of practices that scaffolds the participation of persons with dementia in everyday chores under different stages of dementia diseases. We do so by suggesting three analytical types of scaffolding: when the scaffolding practices (i) frame the activity, (ii) guide actions, or (iii) are part of repair activities. Second, we review two aspects of collaborative remembering that are especially important in the case of dementia: training of scaffolding practices, and the sustaining and presentation of identities through collaborative storytelling. Finally, theoretical and methodological tendencies of the research field are summarized and future research needs are formulated.

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.

Ways that nurse practitioner students self-explain during diagnostic reasoning

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Leah Burt ◽  
Susan Corbridge ◽  
Colleen Corte ◽  
Laurie Quinn ◽  
Lorna Finnegan ◽  
...  
Keyword(s):  
Problem Solving ◽  
Health Care Providers ◽  
Nurse Practitioner ◽  
Descriptive Analysis ◽  
Diagnostic Errors ◽  
Diagnostic Reasoning ◽  
Knowledge Structures ◽  
Future Research ◽  
Biological Knowledge ◽  
Care Providers

Abstract Objectives An important step in mitigating the burden of diagnostic errors is strengthening diagnostic reasoning among health care providers. A promising way forward is through self-explanation, the purposeful technique of generating self-directed explanations to process novel information while problem-solving. Self-explanation actively improves knowledge structures within learners’ memories, facilitating problem-solving accuracy and acquisition of knowledge. When students self-explain, they make sense of information in a variety of unique ways, ranging from simple restatements to multidimensional thoughts. Successful problem-solvers frequently use specific, high-quality self-explanation types. The unique types of self-explanation present among nurse practitioner (NP) student diagnosticians have yet to be explored. This study explores the question: How do NP students self-explain during diagnostic reasoning? Methods Thirty-seven Family NP students enrolled in the Doctor of Nursing Practice program at a large, Midwestern U.S. university diagnosed three written case studies while self-explaining. Dual methodology content analyses facilitated both deductive and qualitative descriptive analysis. Results Categories emerged describing the unique ways that NP student diagnosticians self-explain. Nine categories of inference self-explanations included clinical and biological foci. Eight categories of non-inference self-explanations monitored students’ understanding of clinical data and reflect shallow information processing. Conclusions Findings extend the understanding of self-explanation use during diagnostic reasoning by affording a glimpse into fine-grained knowledge structures of NP students. NP students apply both clinical and biological knowledge, actively improving immature knowledge structures. Future research should examine relationships between categories of self-explanation and markers of diagnostic success, a step in developing prompted self-explanation learning interventions.

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 Artificial imine reductases: developments and future directions

2020 ◽  
Vol 1 (5) ◽  
pp. 369-378
Author(s):  
Rosalind L. Booth ◽  
Gideon Grogan ◽  
Keith S. Wilson ◽  
Anne-Kathrin Duhme-Klair
Keyword(s):  
Future Research ◽  
Future Directions ◽  
Artificial Metalloenzymes

This review surveys the development of this class of artificial metalloenzymes and provides a perspective on existing and future research in the area.

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.

scholarly journals The Role of Mental Effort in Fostering Self-Regulated Learning with Problem-Solving Tasks

2020 ◽  
Vol 32 (4) ◽  
pp. 1055-1072 ◽  
Author(s):  
Tamara van Gog ◽  
Vincent Hoogerheide ◽  
Milou van Harsel
Keyword(s):  
Problem Solving ◽  
Self Regulation ◽  
Mental Effort ◽  
Future Research ◽  
Task Sequence ◽  
Self Monitoring ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
And Mathematics

Abstract Problem-solving tasks form the backbone of STEM (science, technology, engineering, and mathematics) curricula. Yet, how to improve self-monitoring and self-regulation when learning to solve problems has received relatively little attention in the self-regulated learning literature (as compared with, for instance, learning lists of items or learning from expository texts). Here, we review research on fostering self-regulated learning of problem-solving tasks, in which mental effort plays an important role. First, we review research showing that having students engage in effortful, generative learning activities while learning to solve problems can provide them with cues that help them improve self-monitoring and self-regulation at an item level (i.e., determining whether or not a certain type of problem needs further study/practice). Second, we turn to self-monitoring and self-regulation at the task sequence level (i.e., determining what an appropriate next problem-solving task would be given the current level of understanding/performance). We review research showing that teaching students to regulate their learning process by taking into account not only their performance but also their invested mental effort on a prior task when selecting a new task improves self-regulated learning outcomes (i.e., performance on a knowledge test in the domain of the study). Important directions for future research on the role of mental effort in (improving) self-monitoring and self-regulation at the item and task selection levels are discussed after the respective sections.

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