scholarly journals Tourism in Neuroscience Framework/Cultural Neuroscience, Mirror Neurons, Neuroethics

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Ana Njegovanović
Keyword(s):  
Mirror Neurons ◽  
Medical Tourism ◽  
Ethical Issues ◽  
Brain Area ◽  
Human Mind ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Cultural Neuroscience ◽  
Brain And Behavior

Tourism is a dynamic and competitive industry that requires the ability to constantly adapt to the changing needs and wishes of customers in the uncertain financial global environment posing the problem of attracting tourists. The aim of the paper is to research the involvement of neuroscience through cultural neuroscience, mirror neurons, neuroethics as a new approach to different aspects of tourism. We present the most important research in the field of tourism through existing literature, discuss the limitations of this approach and propose guidelines for future research. In a theoretical approach, given the specific tourist experiences, mirror neurons can contribute to explaining some important aspects of tourism. Investigations lead to a neurological context, where many modes are associated, the language utilizes a multimodal sensory motor system that includes the brain area (concept of empathy, characterization of the traditional anthropological relationship between the host and host of the Istrian region).Research on cultural neuroscience examines how cultural and genetic diversity shape the human mind, brain, and behavior in multiple time scales: state, ontogenesis, and phylogeny.We particularly emphasize the importance of medical tourism by including empirical research from different disciplines and ethical issues involving individual and population perspectives.

scholarly journals Are We Doing ‘Systems’ Research? An Assessment of Methods for Climate Change Adaptation to Hydrohazards in a Complex World

2019 ◽  
Vol 11 (4) ◽  
pp. 1163 ◽  
Author(s):  
Melissa Bedinger ◽  
Lindsay Beevers ◽  
Lila Collet ◽  
Annie Visser
Keyword(s):  
Climate Change ◽  
Human Nature ◽  
Climate Change Adaptation ◽  
Time Scales ◽  
Spatial Scales ◽  
Local Context ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Systems Research

Climate change is a product of the Anthropocene, and the human–nature system in which we live. Effective climate change adaptation requires that we acknowledge this complexity. Theoretical literature on sustainability transitions has highlighted this and called for deeper acknowledgment of systems complexity in our research practices. Are we heeding these calls for ‘systems’ research? We used hydrohazards (floods and droughts) as an example research area to explore this question. We first distilled existing challenges for complex human–nature systems into six central concepts: Uncertainty, multiple spatial scales, multiple time scales, multimethod approaches, human–nature dimensions, and interactions. We then performed a systematic assessment of 737 articles to examine patterns in what methods are used and how these cover the complexity concepts. In general, results showed that many papers do not reference any of the complexity concepts, and no existing approach addresses all six. We used the detailed results to guide advancement from theoretical calls for action to specific next steps. Future research priorities include the development of methods for consideration of multiple hazards; for the study of interactions, particularly in linking the short- to medium-term time scales; to reduce data-intensivity; and to better integrate bottom–up and top–down approaches in a way that connects local context with higher-level decision-making. Overall this paper serves to build a shared conceptualisation of human–nature system complexity, map current practice, and navigate a complexity-smart trajectory for future research.

Aging Couples: Benefits and Costs of Long Intimate Relations

2018 ◽  
Author(s):  
Victoria I. Michalowski ◽  
Denis Gerstorf ◽  
Christiane A. Hoppmann
Keyword(s):  
Time Frame ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Physical And Mental Health ◽  
Short Term ◽  
Intimate Relations ◽  
Benefits And Costs ◽  
Over Time

Aging does not occur in isolation, but often involves significant others such as spouses. Whether such dyadic associations involve gains or losses depends on a myriad of factors, including the time frame under consideration. What is beneficial in the short term may not be so in the long term, and vice versa. Similarly, what is beneficial for one partner may be costly for the other, or the couple unit over time. Daily dynamics between partners involving emotion processes, health behaviors, and collaborative cognition may accumulate over years to affect the longer-term physical and mental health outcomes of either partner or both partners across adulthood and into old age. Future research should move beyond an individual-focused approach to aging and consider the importance of and interactions among multiple time scales to better understand how, when, and why older spouses shape each other’s aging trajectories, both for better and for worse.

scholarly journals Towards the Grand Unification of Process Design, Scheduling, and Control—Utopia or Reality?

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 461 ◽  
Author(s):  
Baris Burnak ◽  
Nikolaos A. Diangelakis ◽  
Efstratios N. Pistikopoulos
Keyword(s):  
Systems Engineering ◽  
Process Design ◽  
Optimization Techniques ◽  
Grand Unification ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Conflicting Objectives ◽  
And Control ◽  
Design Scheduling

As a founder of the Process Systems Engineering (PSE) discipline, Professor Roger W.H. Sargent had set ambitious goals for a systematic new generation of a process design paradigm based on optimization techniques with the consideration of future uncertainties and operational decisions. In this paper, we present a historical perspective on the milestones in model-based design optimization techniques and the developed tools to solve the resulting complex problems. We examine the progress spanning more than five decades, from the early flexibility analysis and optimal process design under uncertainty to more recent developments on the simultaneous consideration of process design, scheduling, and control. This formidable target towards the grand unification poses unique challenges due to multiple time scales and conflicting objectives. Here, we review the recent progress and propose future research directions.

Zooming In and Out on One's Life: Autobiographical Representations at Multiple Time Scales

2020 ◽  
Vol 32 (11) ◽  
pp. 2037-2055 ◽  
Author(s):  
Arnaud D'Argembeau
Keyword(s):  
Conceptual Knowledge ◽  
Cognitive Architecture ◽  
Human Mind ◽  
Time Travel ◽  
Mental Time Travel ◽  
Multiple Time Scales ◽  
Central Feature ◽  
Multiple Time ◽  
Neural Basis ◽  
Medial Pfc

The ability to decouple from the present environment and explore other times is a central feature of the human mind. Research in cognitive psychology and neuroscience has shown that the personal past and future is represented at multiple timescales and levels of resolution, from broad lifetime periods that span years to short-time slices of experience that span seconds. Here, I review this evidence and propose a theoretical framework for understanding mental time travel as the capacity to flexibly navigate hierarchical layers of autobiographical representations. On this view, past and future thoughts rely on two main systems—event simulation and autobiographical knowledge—that allow us to represent experiential contents that are decoupled from sensory input and to place these on a personal timeline scaffolded from conceptual knowledge of the content and structure of our life. The neural basis of this cognitive architecture is discussed, emphasizing the possible role of the medial pFC in integrating layers of autobiographical representations in the service of mental time travel.

Cultural Neuroscience

2019 ◽  
pp. 695-723
Author(s):  
Joan Y. Chiao ◽  
Katherine D. Blizinsky
Keyword(s):  
Functional Organization ◽  
Global Mental Health ◽  
Cultural Influences ◽  
Human Mind ◽  
Research Field ◽  
Cultural Variation ◽  
Cultural Neuroscience ◽  
Brain And Behavior ◽  
The Mind ◽  
And Behavior

Cultural neuroscience is a research field that investigates the mutual influences of cultural and biological sciences on human behavior. Research in cultural neuroscience demonstrates cultural influences on the neurobiological mechanisms of processes of the mind and behavior. Culture tunes the structure and functional organization of the mind and the nervous system, including processes of emotion, cognition, and social behavior. Environmental and developmental approaches play an important role in the emergence and maintenance of culture. Culture serves as an evolutionary adaptation, protecting organisms from environmental conditions across geography. Cultural variation in the human mind, brain, and behavior serves to build and reinforce culture throughout the life course. This chapter examines the theoretical, methodological, and empirical foundations of cultural neuroscience and its implications for research in population health disparities and global mental health.

Cyber physics system: a review

2018 ◽  
Vol 38 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Changbin Jiang ◽  
Ying Ma ◽  
Hong Chen ◽  
Yangyin Zheng ◽  
Shan Gao ◽  
...  
Keyword(s):  
Large Scale ◽  
Research Area ◽  
Smart Manufacturing ◽  
Multiple Time Scales ◽  
Future Research ◽  
Multiple Time ◽  
Medical Systems ◽  
Daily Lives ◽  
Content Type ◽  
Control Circuits

Purpose Cyber physical system (CPS) has attracted much attention from industry, government and academia due to its dramatic impact on society, economy and people’s daily lives. Scholars have conducted a number of studies on CPS. However, despite of the dynamic nature of this research area, a systematic and extensive review of recent research on CPS is unavailable. Accordingly, this paper conducts an intensive literature review on CPS and presents an overview of existing research on CPS. The purpose of this paper is to identify the challenges of studying CPS as well as the directions for future studies on CPS. Design/methodology/approach This paper examines existing literatures about CPS from 2006 to 2018 in Compendex, presenting its definition, architectures, characteristics and applications. Findings This study finds that CPS is closely integrated, diversified and large-scale network with complex multiple time scales. It requires dynamic reorganization/reconfiguration, mass computing, and closed, automated and control circuits. Currently, CPS has been applied in smart manufacturing, medical systems, smart city and smart libraries. The main challenges in designing CPS are to develop, to modify, to integrate abstractions and to set predictable timing of openness and physical interconnection of physical devices. Furthermore, security is a key issue in CPS. Originality/value This study adds knowledge to the existing literature of CPS by answering what the current level of development on CPS is and what the potential future research directions of CPS are.

scholarly journals The Role of Mediobasal Hypothalamic PACAP in the Control of Body Weight and Metabolism

Endocrinology ◽  
2021 ◽  
Vol 162 (4) ◽  
Author(s):  
Nadejda Bozadjieva-Kramer ◽  
Rachel A Ross ◽  
David Q Johnson ◽  
Henning Fenselau ◽  
David L Haggerty ◽  
...  
Keyword(s):  
Nervous System ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Homeostasis ◽  
Brain Area ◽  
Hypothalamic Nucleus ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Physiologic Mechanism ◽  
Brown Adipose

Abstract Body energy homeostasis results from balancing energy intake and energy expenditure. Central nervous system administration of pituitary adenylate cyclase activating polypeptide (PACAP) dramatically alters metabolic function, but the physiologic mechanism of this neuropeptide remains poorly defined. PACAP is expressed in the mediobasal hypothalamus (MBH), a brain area essential for energy balance. Ventromedial hypothalamic nucleus (VMN) neurons contain, by far, the largest and most dense population of PACAP in the medial hypothalamus. This region is involved in coordinating the sympathetic nervous system in response to metabolic cues in order to re-establish energy homeostasis. Additionally, the metabolic cue of leptin signaling in the VMN regulates PACAP expression. We hypothesized that PACAP may play a role in the various effector systems of energy homeostasis, and tested its role by using VMN-directed, but MBH encompassing, adeno-associated virus (AAVCre) injections to ablate Adcyap1 (gene coding for PACAP) in mice (Adcyap1MBHKO mice). Adcyap1MBHKO mice rapidly gained body weight and adiposity, becoming hyperinsulinemic and hyperglycemic. Adcyap1MBHKO mice exhibited decreased oxygen consumption (VO2), without changes in activity. These effects appear to be due at least in part to brown adipose tissue (BAT) dysfunction, and we show that PACAP-expressing cells in the MBH can stimulate BAT thermogenesis. While we observed disruption of glucose clearance during hyperinsulinemic/euglycemic clamp studies in obese Adcyap1MBHKO mice, these parameters were normal prior to the onset of obesity. Thus, MBH PACAP plays important roles in the regulation of metabolic rate and energy balance through multiple effector systems on multiple time scales, which highlight the diverse set of functions for PACAP in overall energy homeostasis.

scholarly journals Cell assemblies at multiple time scales with arbitrary lag constellations

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Eleonora Russo ◽  
Daniel Durstewitz
Keyword(s):  
Time Scales ◽  
Brain Area ◽  
Theoretical Concept ◽  
Task Demands ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Time Lags ◽  
Assembly Structure ◽  
Neural Information ◽  
Neural Information Processing

Hebb's idea of a cell assembly as the fundamental unit of neural information processing has dominated neuroscience like no other theoretical concept within the past 60 years. A range of different physiological phenomena, from precisely synchronized spiking to broadly simultaneous rate increases, has been subsumed under this term. Yet progress in this area is hampered by the lack of statistical tools that would enable to extract assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due to the severe computational burden. Here we present such a unifying methodological and conceptual framework which detects assembly structure at many different time scales, levels of precision, and with arbitrary internal organization. Applying this methodology to multiple single unit recordings from various cortical areas, we find that there is no universal cortical coding scheme, but that assembly structure and precision significantly depends on the brain area recorded and ongoing task demands.

SOME REMARKS ON THE MULTIPLE TIME SCALES OF DIFFUSION IN MINERALS AND MELTS

2018 ◽  
Author(s):  
Yan Liang ◽  
◽  
Daniele J. Cherniak ◽  
Chenguang Sun
Keyword(s):  
Time Scales ◽  
Multiple Time Scales ◽  
Multiple Time

The Changing Nature of Knowledge and Service Work in the Age of Intelligent Machines

2020 ◽  
pp. 343-368
Author(s):  
Crispin Coombs ◽  
Donald Hislop ◽  
Stanimira Taneva ◽  
Sarah Barnard
Keyword(s):  
Ethical Issues ◽  
Work Practice ◽  
Academic Disciplines ◽  
Service Work ◽  
Future Research ◽  
Human Capabilities ◽  
Academic Knowledge ◽  
Intelligent Machines ◽  
Technological Developments ◽  
The Impact

One of the most significant recent technological developments concerns the application of intelligent machines to jobs that up to now have been considered safe from automation. These changes have generated considerable debate regarding the impacts that the widespread adoption of intelligent machines could have on the nature of work. This chapter provides a thematic review, across multiple academic disciplines, of the current state of academic knowledge regarding the impact of intelligent machines on knowledge and service work. Adopting a work-practice perspective, the chapter reviews the extant literature concerning changing relations between workers and intelligent machines, the adoption and acceptance of intelligent machines, and ethical issues associated with greater machine human collaboration. A key finding is that much of the research discusses intelligent machines complementing and extending human capabilities rather than removing humans from work processes. The concept of augmentation of humans and human work, rather than wholesale replacement from automation, flows through the literature across a range of domains. The chapter concludes with a discussion of the main gaps in existing knowledge and ways in which future research may provide a deeper understanding of how people (currently and in the near future) experience intelligent machines in their day-to-day work practice. These include the need for multi-disciplinary research, the role of contexts, the need for more and better empirical research, the changing relationships between humans and intelligent machines, the adoption and acceptance of the technology, and ethical issues.

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