The Perception of Overtourism in Urban Destinations. Empirical Evidence based on Residents’ Emotional Response

Author(s):  
Francesc González-Reverté
2014 ◽  
Vol 11 (11) ◽  
pp. 1938-1944
Author(s):  
Irwan Shah Zainal Abidin ◽  
Mohd Dan Jantan ◽  
Nurulhuda Mohd Satar ◽  
Muhammad Haseeb

Biofeedback ◽  
2013 ◽  
Vol 41 (3) ◽  
pp. 110-120 ◽  
Author(s):  
Richard Gevirtz

Heart rate variability biofeedback has enjoyed increased popularity in recent years. In this review, empirical evidence from multiple sources is presented from the point of view of possible mechanisms of effect. While more research is clearly needed, the data thus far are certainly promising.


2019 ◽  
Vol 59 (3) ◽  
pp. 1085-1105
Author(s):  
Michael J. Lamla ◽  
Sarah M. Lein ◽  
Jan-Egbert Sturm

2019 ◽  
Vol 40 (3) ◽  
pp. 375-399
Author(s):  
Martin Mosler ◽  
Niklas Potrafke ◽  
Markus Reischmann

2020 ◽  
Vol 53 (5) ◽  
pp. 343-353 ◽  
Author(s):  
Jeremy Miciak ◽  
Jack M. Fletcher

This article addresses the nature of dyslexia and best practices for identification and treatment within the context of multitier systems of support (MTSS). We initially review proposed definitions of dyslexia to identify key commonalities and differences in proposed attributes. We then review empirical evidence for proposed definitional attributes, focusing on key sources of controversy, including the role of IQ, instructional response, as well as issues of etiology and immutability. We argue that current empirical evidence supports a dyslexia classification marked by specific deficits in reading and spelling words combined with inadequate response to evidence-based instruction. We then propose a “hybrid” dyslexia identification process built to gather data relevant to these markers of dyslexia. We argue that this assessment process is best implemented within school-wide MTSS because it leverages data routinely collected in well-implemented MTSS, including documentation of student progress and fidelity of implementation. In contrast with other proposed methods for learning disability (LD) identification, the proposed “hybrid” method demonstrates strong evidence for valid decision-making and directly informs intervention.


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