scholarly journals Future Intelligent Systems and Networks

2019 ◽  
Vol 11 (6) ◽  
pp. 140
Author(s):  
Carmen De-Pablos-Heredero

The purpose of this Special Issue is to collect current developments and future directions of Future Intelligent Systems and Networks [...]

2021 ◽  
pp. 002200272110130
Author(s):  
Kristine Eck ◽  
Courtenay R. Conrad ◽  
Charles Crabtree

The police are often key actors in conflict processes, yet there is little research on their role in the production of political violence. Previous research provides us with a limited understanding of the part the police play in preventing or mitigating the onset or escalation of conflict, in patterns of repression and resistance during conflict, and in the durability of peace after conflicts are resolved. By unpacking the role of state security actors and asking how the state assigns tasks among them—as well as the consequences of these decisions—we generate new research paths for scholars of conflict and policing. We review existing research in the field, highlighting recent findings, including those from the articles in this special issue. We conclude by arguing that the fields of policing and conflict research have much to gain from each other and by discussing future directions for policing research in conflict studies.


2016 ◽  
Vol 6 (1) ◽  
pp. 1-3
Author(s):  
Yukiko I. Nakano ◽  
Roman Bednarik ◽  
Hung-Hsuan Huang ◽  
Kristiina Jokinen

2021 ◽  
pp. JCPSY-D-21-00004
Author(s):  
Yasmine Omar

Evidence indicates that motivation early in treatment is critical to treatment outcome, and motivational interviewing (MI) has addressed this finding by helping individuals work through ambivalence about change. Not only has it demonstrated improvements in treatment outcome across treatment populations and settings, it has been adapted with success into brief motivational interventions. This special issue explores the use of MI with populations at great risk for ambivalence in therapy, including college students violating campus policy, individuals who have been trafficked, and individuals in exposure therapy. The papers further highlight the versatility of MI-based interventions, as well as their limitations, that may help inform future directions for adapting MI as we move toward digital and web-based interventions.


Author(s):  
Nathan Lau ◽  
Lex Fridman ◽  
Brett J. Borghetti ◽  
John D. Lee

As machine learning approaches ubiquity in industrial systems and consumer products, human factors research must attend to machine learning, specifically on how intelligent systems built on machine learning are different from early generations of automated systems, and what these differences mean for human-system interaction, design, evaluation and training. This panel invites five researchers in different domains to discuss how human factors can contribute to machine learning research and applications, as well as how machine learning presents both challenges and contributions for human factors.


Big Data ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 146-147
Author(s):  
Ahmed A. Abd El-Latif ◽  
Lo'ai Tawalbeh ◽  
Yassine Maleh ◽  
Gokay Saldamli

Nanomaterials ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 567
Author(s):  
Jin-Woo Oh ◽  
Dong-Wook Han

This Special Issue highlights the recent developments and future directions of virus-based nanomaterials and nanostructures in energy and biomedical applications. The virus-based biomimetic materials formulated using innovative ideas presented herein are characterized for the applications of biosensors and nanocarriers. The research contributions and trends based on virus-based materials, covering energy-harvesting devices to tissue regeneration over the last two decades, are described and discussed.


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