Active Cochlear Feedback: Required Structure And Response Phase

Author(s):  
J. J. Zwislocki
Keyword(s):  
2019 ◽  
Author(s):  
Jiri Lukavsky ◽  
Vojtěch Klinger

In boundary extension (BE), people confidently remember seeing a surrounding region of a scene that was not visible in the studied view. However, the content near image boundaries might be uninteresting, serving only as a background for a central figure.In our experiments, we presented participants with 24 photographs with a defect (cut-out hole or black ink blot). Participants were instructed to memorize the photograph and then either reproduce the size of the hole/blot (BE task) or identify a change (distractor task). In Exp. 1, we showed participants printed photographs (18×13 cm) with cut-out holes. Participants systematically drew smaller holes (87.5% diameter, N=32). When we replaced the holes with black ink blots (Exp. 2), the bias was still present (91.4%, N=30). The computer-based version with size-adjustment of black blots (Exp. 3) yielded similar effects (92.8%, N=30), which disappeared (Exp. 4, 100.7%, N=30) if the probe blot sizes were randomized.We argue that BE occurs in the internal parts of photographs. We explored the effect in different media (paper/screen) and using different response tasks (free recall/adjustment). People show uncertainty in the adjustment tasks and reproduce remembered holes/blots as smaller (consistent with BE) if they are presented with the occluded content in the response phase.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Daniel Hind ◽  
Kate Allsopp ◽  
Prathiba Chitsabesan ◽  
Paul French

Abstract Background A 2017 terrorist attack in Manchester, UK, affected large numbers of adults and young people. During the response phase (first seven weeks), a multi-sector collaborative co-ordinated a decentralised response. In the subsequent recovery phase they implemented a centralised assertive outreach programme, ‘The Resilience Hub’, to screen and refer those affected. We present a process evaluation conducted after 1 year. Methods Case study, involving a logic modelling approach, aggregate routine data, and semi-structured interviews topic guides based on the Inter-Agency Collaboration Framework and May’s Normalisation Process Theory. Leaders from health, education and voluntary sectors (n = 21) and frontline Resilience Hub workers (n = 6) were sampled for maximum variation or theoretically, then consented and interviewed. Framework analysis of transcripts was undertaken by two researchers. Results Devolved government, a collaborative culture, and existing clinical networks meant that, in the response phase, a collaboration was quickly established between health and education. All but one leader evaluated the response positively, although they were not involved in pre-disaster statutory planning. However, despite overwhelming positive feedback there were clear difficulties. (1) Some voluntary sector colleagues felt that it took some time for them to be involved. (2) Other VCSE organisations were accused of inappropriate, harmful use of early intervention. (3) The health sector were accused of overlooking those below the threshold for clinical treatment. (4) There was a perception that there were barriers to information sharing across organisations, which was particularly evident in relation to attempts to outreach to first responders and other professionals who may have been affected by the incident. (5) Hub workers encountered barriers to referring people who live outside of Greater Manchester. After 1 year of the recovery phase, 877 children and young people and 2375 adults had completed screening via the Resilience Hub, 79% of whom lived outside Greater Manchester. Conclusions The psychosocial response to terrorist attacks and other contingencies should be planned and practiced before the event, including reviews of communications, protocols, data sharing procedures and workforce capacity. Further research is needed to understand how the health and voluntary sectors can best collaborate in the wake of future incidents.


1995 ◽  
Vol 78 (3) ◽  
pp. 557-562 ◽  
Author(s):  
HURNG-LIAHNG JOU ◽  
JINN-CHANG WU

2018 ◽  
Vol 18 (07) ◽  
pp. 1840011
Author(s):  
MI-HYUN CHOI ◽  
HYUNG-SIK KIM ◽  
JI-HUN JO ◽  
JI-SUN KIM ◽  
JAE-HOON JUN ◽  
...  

This study aims to investigate the interaction effect between the beam diameter and energy density, which are perceived as laser-induced tactile perception by humans, by diversely varying the laser parameters, beam diameter, and energy. Eight healthy male college students of 23.5[Formula: see text][Formula: see text][Formula: see text]1.7 years participated in the study. The range of the beam diameter of the displayed laser stimulation was between 0.03[Formula: see text]mm and 8[Formula: see text]mm, and a total of 21 sizes were displayed. The laser energy was sequentially displayed from the minimum energy that can be displayed by one beam diameter to the maximum energy range that does not exceed the maximum permissible exposure (MPE) level since the energy varies according to the beam diameter. The laser energy was controlled by an optical density ([Formula: see text]) filter and was measured by an optical power meter (energy meter). Furthermore, the beam diameter was adjusted by moving the lens, which was confirmed with the beam profiler. The experimental test consists of the control phase (19[Formula: see text]s), stimulus phase (7[Formula: see text]s), and response phase (4[Formula: see text]s); the total duration of the test was 30[Formula: see text]s. The stimulus phase is the period in which stimulation was displayed on the skin through laser irradiation, and the stimulation was displayed by changing the beam diameter and the energy from the laser. The total number of beam diameter and energy pairs displayed to the subjects was 113 and 5 trials of irradiation were conducted for each pair. Stimulation perception response was recorded by pressing the response buttons during the response phase, and the responses were predefined as “no feeling,” “tactile sensation”, and “pain.” Through the extracted response data from the response phase, the beam diameter and energy density pair in which more than 50% of the subjects responded as having perceived tactile sensation were selected from the possible laser energy that could be displayed from one beam diameter. The simulation results showed that increasing the beam diameter increased the penetration depth, indicating an effective energy transfer to the skin. Therefore, increasing the beam diameter results in increased scattering, and hence increased penetration depth, and ultimately a more effective energy transfer. Therefore, increased beam diameter results in higher energy transfer efficiency, indicating that the required energy density by more than 50% of the subjects to perceive tactile sensation decreased.


2021 ◽  
Author(s):  
Qipeng Wang ◽  
Yue Su ◽  
Zhiguo Su ◽  
Hongxin Zhao ◽  
Xiaoxing Yin

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Mahdi Ershadi ◽  
Hossein Shams Shemirani

PurposeProper planning for the response phase of humanitarian relief can significantly prevent many financial and human losses. To this aim, a multi-objective optimization model is proposed in this paper that considers different types of injured people, different vehicles with determining capacities and multi-period logistic planning. This model can be updated based on new information about resources and newly identified injured people.Design/methodology/approachThe main objective function of the proposed model in this paper is minimizing the unsatisfied prioritized injured people in the network. Besides, the total transportation activities of different types of vehicles are considered as another objective function. Therefore, these objectives are optimized hierarchically in the proposed model using the Lexicographic method. This method finds the best value for the first objective function. Then, it tries to optimize transportation activities as the second objective function while maintaining the optimality of the first objective function.FindingsThe performances of the proposed model were analyzed in different cases and its robust approach for different problems was shown within the framework of a case study. Besides, the sensitivity analysis of results shows the logical behavior of the proposed model against various factors.Practical implicationsThe proposed methodology can be applied to find the best response plan for all crises.Originality/valueIn this paper, we have tried to use a multi-objective optimization model to guide and correct response programs to deal with the occurred crisis. This is important because it can help emergency managers to improve their plans.


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