scholarly journals Theoretical Considerations of Bio-guided Music Therapy

Author(s):  
Eric B Miller

Abstract: Music therapists rarely have the opportunity to consider a new model of music therapy and need to review prior models and theoretical approaches to make an informed determination regarding Bio-guided Music Therapy.  While initially appearing to fall within the confines of Behavioral Music Therapy, technical advances in sound reproduction, physiological data acquisition methods, as well as innovative application techniques are argued to bring the bio-guided approach into the realm of in-the-moment improvisation. Bio-guided Music Therapy distinguishes itself from other music therapy models by virtue of the client’s physiological data being presented in real-time either musically or visually back to the client or the therapist during the therapy session. This real-time data may be presented in key, scale and tempo for flexibility in musical interaction with the music therapist or group.  General treatment areas include ADHD, Stress/anxiety, dementia, depression and addictions. The resulting charts and graphs document the impact of the music therapy session in the language of mainstream medicine, readily accessible to other medical professionals.

Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.


2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.


Rev Rene ◽  
2021 ◽  
Vol 22 ◽  
pp. e62584
Author(s):  
Sergio Vital da Silva Junior ◽  
Aline Gomes Machado ◽  
Anny Michelle Rodrigues da Silva Alves ◽  
Katia Jaqueline da Silva Cordeiro ◽  
Maíra Bonfim Barbosa ◽  
...  

Objective: to understand the impact of music on the intensive care for COVID-19 as an instrument to humanize assistance from the perspective of nurses who work on assistance. Methods: qualitative study carried out with seven intensive care nurses working in the COVID-19 Intensive Care Unit of a public state hospital. Sample reached through theoretical saturation. Data were collected using interviews through the on-line application WhatsApp, guided by a semi-structured guide. Results: the following discursive categories emerged: Feelings of health professionals and humanized actions in intensive care; Music therapy to provide integral care for people with COVID-19 in the score of intensive care; Living in the moment; Music therapy as an instrument for spirituality in the intensive care environment. Conclusion: the nursing intensive care did not only carry out a biological treatment, but considered all aspects of the human being, using to do so humanization by music.


2021 ◽  
Vol 343 ◽  
pp. 03005
Author(s):  
Florina Chiscop ◽  
Bogdan Necula ◽  
Carmen Cristiana Cazacu ◽  
Cristian Eugen Stoica

The topic of this paper represents our research in the process of creating a virtual model (digital twin) for a fast-food company production chain starting with the moment when a customer launches an order, following with the processing of that order, until the customer receives it. The model will describe elements that are included in this process such as equipment, human resources and the necessary space that is needed to host this layout. The virtual model created in a simulation platform will be a replicate of a real fast-food company, thus helping us observe the real time dynamic of this production system. Using WITNESS HORIZON 23 we will construct the model of the layout based on real time data received from the fast-food company. This digital twin will be used to manage the production chain material flow, evaluating the performance of the system architecture in various scenarios. In order to obtain a diagnosis of the system’s performance we will simulate the workflow running through preliminary architecture in compliance with the real time behaviour to identify the bottlenecks and blockages in the flow trajectory. In the end we will propose two different optimised architectures for the fast-food company production chain.


2021 ◽  
Vol 13 (4) ◽  
Author(s):  
María Jáñez ◽  
María Jesús Del Olmo ◽  
Cintia Rodríguez

The aim of this study is to determine whether a live music therapy session during parent holding had an effect on physiological and comfort outcomes of late-moderate preterm infants, on their parents, and on the ward environment. This is a quasi-experimental study of a cohort of 44 preterm / adult pairs exposed to a music therapy session in the first two weeks after birth. There were 3 moments of observation (before, during, and after the intervention), at which heart rate (HR), oxygen saturation (O2-sat), the infant’s behavioral-emotional activation level, and the environmental response were measured. A statistically significant increase was observed in O2-sat (p<.001) after the intervention, as well as a decrease in HR (p<.001). Personal and environmental stress was observed to decrease (p<.001). A music therapy session in the Neonatal Unit at the time of interaction between parents and premature infants was found to be useful in reducing stress and promoted a positive interaction between parents and infants.


Author(s):  
Yasmina Maizi ◽  
Ygal Bendavid

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.


Author(s):  
Ross Brown ◽  
Augusto Rocha ◽  
Marc Cowling

This commentary explores the manner in which the current COVID-19 crisis is affecting key sources of entrepreneurial finance in the United Kingdom. We posit that the unique relational nature of entrepreneurial finance may make it highly susceptible to such a shock owing to the need for face-to-face interaction between investors and entrepreneurs. The article explores this conjecture by scrutinising a real-time data source of equity investments. Our findings suggest that the volume of new equity transactions in the United Kingdom has declined markedly since the outbreak of the COVID-19 pandemic. It appears that seed finance is the main type of entrepreneurial finance most acutely affected by the crisis, which typically goes to the most nascent entrepreneurial start-ups facing the greatest obstacles obtaining finance. Policy makers can utilise these real-time data sources to help inform their strategic policy interventions to assist the firms most affected by crisis events.


2019 ◽  
Vol 27 (1) ◽  
pp. 83-108
Author(s):  
Ammar Saeed Mohammed Moohialdin ◽  
Fiona Lamari ◽  
Marc Miska ◽  
Bambang Trigunarsyah

Purpose The purpose of this paper shows the effect of hot and humid weather conditions (HHWCs) on workers that has resulted in considerable loss in the construction industry, especially during the hottest periods due to decline in worker productivity (WP). Until the last few decades, there is very limited research on construction WP in HHWCs. Nevertheless, these studies have sparked interests on seeking for the most appropriate methods to assess the impact of HHWCs on construction workers. Design/methodology/approach This paper begins by reviewing the current measuring methods on WP in HHWCs, follows by presenting the potential impact of HHWCs on WP. The paper highlights the methodological deficiencies, which consequently provides a platform for scholars and practitioners to direct future research to resolve the significant productivity loss due to global warming. This paper highlights the need to identify the limitations and advantages of the current methods to formulate a framework of new approaches to measure the WP in HHWCs. Findings Results show that the methods used in providing real-time response on the effects of HHWCs on WP in construction at project, task and crew levels are limited. An integration of nonintrusive real-time monitoring system and local weather measurement with real-time data synchronisation and analysis is required to produce suitable information to determine worker health- and safety-related decisions in HHWCs. Originality/value The comprehensive literature review makes an original contribution to WP measurements filed in HHWCs in the construction industry. Results of this review provide researchers and practitioners with an insight into challenges associated with the measurements methods and solving practical site measurements issues. The findings will also enable the researchers and practitioners to bridge the identified research gaps in this research field and enhance the ability to provide accurate measures in HHWCs. The proposed research framework may promote potential improvements in the productivity measurements methods, which support researchers and practitioners in developing new innovative methods in HHWCs with the integration of the most recent monitoring technologies.


2018 ◽  
Vol 7 (2.7) ◽  
pp. 444 ◽  
Author(s):  
Samir Yerpude ◽  
Dr Tarun Kumar Singhal

Objectives: To study the impact of Internet of things (IoT) on the Customer Relationship Management process and evaluate the benefits in terms of customer satisfaction and customer retention. Methods: An extensive literature review was conducting wherein the constructs of CRM and IoT are studied. Various preliminary information on IoT and CRM system along with the components of Digital enablers have been evaluated. References from research papers, journals, Internet sites, statistical data sites and books were used to collate the relevant content on the subject. The study of all the relevant scenarios where there is a possible impact of IoT origin real time data on CRM was undertaken. Findings: Customer demands are continuously evolving and it is very relevant for all the organizations to align and keep pace with the change. Organizations need to be customer centric and agile to the changing market scenarios. Evaluation of the trends in mobile internet vs desktop internet was also conducted to validate the findings. Application: The usage of real time data emerging out of the IoT landscape has become a reality with the data transmitted over the Internet and consumed by the CRM system. It improves the control on the customer relationship function helping the organizations to operate within healthy and sustained profit  


2021 ◽  
Author(s):  
Xiuyu Li

<p><b>AbstractThe purpose of this research project is to explore the information available about the use of music therapy methods and techniques when working with children (0-6) who have physical disabilities, particularly in a Conductive Education setting. This is qualitative exploratory theoretical research. The data analysis strategy used is triangulation, which involves three sources of data. Thematic analysis of data was of nine pieces of literature, eight video transcriptions, and three meeting notes and three clinical supervision notes. From the analysis, four core themes were generated: 1) familiar songs, 2) following children, 3) repeated musical structure, 4) and musical cueing. Within the core themes, two music therapy methods, improvisation and re-creation, and many music therapy techniques overlap and interweave.</b></p> <p>Findings show a development of theory for this population that music therapists can naturally use improvisation and re-creative music therapy methods. They can use familiar songs, designing structured and repeated interactions in the music activities, following children in the moment to respond to them musically, and using musical elements to provide cueing and support. The four core themes identified in this research indicate the areas which can help children to participate in activities and improve their motor skills.</p>


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