scholarly journals Impact of spectrograms on the classification of wheezes and crackles in an educational setting. An interrater study

2019 ◽  
Author(s):  
JC. Aviles-Solis ◽  
I Storvoll ◽  
Vanbelle Sophie ◽  
H. Melbye
Keyword(s):  
Positive Impact ◽  
Random Order ◽  
The Arctic ◽  
Educational Setting ◽  
Lung Sounds ◽  
Online Questionnaire ◽  
Chest Auscultation ◽  
Technological Developments ◽  
Expert Classification

AbstractBackgroundChest auscultation is a widely used method in the diagnosis of lung diseases. However, the interpretation of lung sounds is a subjective task and disagreements arise. New technological developments like the use of visual representation of sounds through spectrograms could improve the agreement when classifying lung sounds, but this is not yet known.AimsTo test if the use of spectrograms improves the agreement when classifying wheezes and crackles.MethodsWe used 30 lung sounds recordings. The sample contained 15 normal recordings and 15 with wheezes or crackles. We produced spectrograms of the recordings. Twenty-three third to fifth-year medical students at UiT the Arctic University of Norway classified the recordings using an online questionnaire. We first showed the students examples of how wheezes and crackles looked in the spectrogram. Then, we played the recordings in a random order two times, first without the spectrogram, then with live spectrograms displayed. We asked them to classify the sounds for the presence of wheezes and crackles. We calculated kappa values for the agreement between each student and the expert classification with and without display of spectrograms and tested for significant improvement. We also calculated Fleiss kappa for the 23 observers with and without the spectrogram.ResultsWhen classifying wheezes 13/23 (1 with p<.05) students had a positive change in k, and 16/23 (2 with p<.05). All the statistically significant changes were in the direction of improved kappa values (.52 - .75). Fleiss kappa values were k=.51 and k=.56 (p=.63) for wheezes without and with spectrograms. For crackles, these values were k=.22 and k=.40 (p=<0.01) in the same order.ConclusionsThe use of spectrograms had a positive impact on the inter-rater agreement and the agreement with experts. We observed a higher improvement in the classification of crackles compared to wheezes.

Classification of the capitalization strategy of the arctic mineral-raw resource rent

2018 ◽  
pp. 26-30
Author(s):  
Yu.V. Razovsky ◽  
◽  
M.S. Ruban ◽  
E.Yu. Gorenkova ◽  
◽  
...  
Keyword(s):  
The Arctic ◽  
Resource Rent

scholarly journals New insights in online fashion retail returns from a customers’ perspective and their dynamics

2021 ◽  
Author(s):  
Björn Stöcker ◽  
Daniel Baier ◽  
Benedikt M. Brand
Keyword(s):  
Customer Satisfaction ◽  
Business Model ◽  
Mail Order ◽  
Online Questionnaire ◽  
Holistic View ◽  
Research Fields ◽  
Technological Developments ◽  
Online Business ◽  
Post Purchase ◽  
Customers Perspective

AbstractReturns are an inconvenient problem in the mail-order business, not only for the merchant but also for the customer. With an estimated return rate of 50% in the fashion sector, the seller has to deal with the expense of restocking and possibly reprocessing, the buyer, who must reship the return, and the environment. We do not consider returns to be generally bad, but rather an explicit, integral part of the online business model. Therefore, we investigate potentially suitable measures to avert or avoid returns in the pre-purchase, purchase, and post-purchase phases. We look at current and technological developments in return management and the most critical drivers for fashion assortment returns. The measures we investigate deliver a holistic view of the issue and target all three purchase phases. The resulting measures were assessed via an online questionnaire with 8393 participants (customers of a German fashion online retailer) to impact customer satisfaction using Kano’s method. There are clear measures that promise high customer satisfaction (such as 360° view) and a clear hierarchy regarding monetary and non-monetary measures. By applying a new method, the segmented Kano perspective, we found different customer segments, which are different in their expectations towards returns. That allowed us to conclude dynamics regarding return management. This assessment is followed by discussing the results, conclusions, and indications for further research fields.

Patterns and processes of global shrub expansion

2011 ◽  
Vol 35 (4) ◽  
pp. 423-442 ◽  
Author(s):  
Adam T. Naito ◽  
David M. Cairns
Keyword(s):  
Simulation Modeling ◽  
Satellite Remote Sensing ◽  
Aerial Photograph ◽  
The Arctic ◽  
Shrub Expansion ◽  
Global Land ◽  
Technological Developments ◽  
Management Policies ◽  
Patterns And Processes ◽  
Land Types

Shrub expansion is a global phenomenon that is occurring on savannas, rangelands, and grasslands. In addition, this is an increasingly documented occurrence in the Arctic. Numerous recent studies have strived to pinpoint the drivers of this phenomenon, quantify the changes, and understand their implications for regional and global land use, disturbance regimes, and nutrient cycling. Inquiry into these topics has been facilitated by recent technological developments in satellite remote sensing, aerial photograph analysis, and computer simulation modeling. We provide a new review that accounts for more recent studies in these regions, Arctic shrub expansion, and technological and analytical developments. This four-part discussion focuses on observed patterns of shrub expansion in three rangeland types (desert grasslands, mesic grasslands, savannas) and the Arctic tundra, the primary causes of this expansion, critical comparisons and contrasts between these land types, and recommendations for future avenues of research. These new avenues can inform the development of future land management policies, as well as ongoing investigations to understand and mitigate the effects of climate change.

Automated classification of human lung sound signals using phase space representation of intrinsic mode function

2021 ◽  
Author(s):  
Sibghatullah I. Khan ◽  
Vikram Palodiya ◽  
Lavanya Poluboyina
Keyword(s):  
Phase Space ◽  
Human Lung ◽  
Feature Space ◽  
Normal Lung ◽  
Space Representation ◽  
Support Vector ◽  
Lung Sounds ◽  
Lung Sound ◽  
Phase Space Representation

Abstract Bronchiectasis and chronic obstructive pulmonary disease (COPD) are common human lung diseases. In general, the expert pulmonologistcarries preliminary screening and detection of these lung abnormalities by listening to the adventitious lung sounds. The present paper is an attempt towards the automatic detection of adventitious lung sounds ofBronchiectasis,COPD from normal lung sounds of healthy subjects. For classification of the lung sounds into a normaland adventitious category, we obtain features from phase space representation (PSR). At first, the empirical mode decomposition (EMD) is applied to lung sound signals to obtain intrinsic mode functions (IMFs). The IMFs are then further processed to construct two dimensional (2D) and three dimensional (3D) PSR. The feature space includes the 95% confidence ellipse area and interquartile range (IQR) of Euclidian distances computed from 2D and 3D PSRs, respectively. The process is carried out for the first four IMFs correspondings to normal and adventitious lung sound signals. The computed features depicta significant ability to discriminate the two categories of lung sound signals.To perform classification, we use the least square support vector machine with two kernels, namely, polynomial and radial basis function (RBF).Simulation outcomes on ICBHI 2017 lung sound dataset show the ability of the proposed method in effectively classifying normal and adventitious lung sound signals. LS-SVM is employing RBF kernel provides the highest classification accuracy of 97.67 % over feature space constituted by first, second, and fourth IMF.

scholarly journals The central role of the occupational therapist in facilitating housing adaptations/home modifications for disabled children

2017 ◽  
Vol 80 (6) ◽  
pp. 375-383
Author(s):  
Gail Boniface ◽  
Deborah Morgan
Keyword(s):  
Positive Impact ◽  
Occupational Therapists ◽  
Occupational Therapist ◽  
Specific Information ◽  
Structured Interviews ◽  
Online Questionnaire ◽  
Negative Experience ◽  
Home Modifications ◽  
Information And Communication

Introduction Six reviews/inquiries into housing adaptations/home modifications processes occurred in Wales between 2004 and 2015. One resulted in the removal of the means test for children's Disabled Facilities Grants. This research investigated families' and professionals' experiences of the adaptations/home modification process to gain an understanding of their views and experiences. Method Mixed methods of an online questionnaire for professionals, and semi-structured interviews or an online questionnaire for families (depending on their preference), were employed. Forty-eight families participated and an additional 16 families responded to an online questionnaire. Analysis of qualitative data identified emergent themes, which are discussed in this article. Findings The themes were: poor information and communication mainly aimed at older adults; negative experience of the process; and the positive impact of the completed adaptation. Additionally, whilst undergoing the process, families felt that they needed a contact to guide them through the process. This contact was often by default the community occupational therapist. Conclusion A single contact person should be made available for families; occupational therapists should consider their part in that role; more specific information on children's needs should be provided; families need to recognize the part they can play in adding to delays in the delivery of adaptations.

scholarly journals Classification of lung disorders based on lung sounds using deep learning

2021 ◽  
Vol 1937 (1) ◽  
pp. 012036
Author(s):  
Reshma P Joy ◽  
Nishi Shahnaj Haider
Keyword(s):  
Deep Learning ◽  
Lung Sounds

scholarly journals Classification of Lung Sounds and Disease Prediction using Dense CNN Network

2021 ◽  
Vol 11 (1) ◽  
pp. 195-198
Author(s):  
Suyash Lakhani ◽  
◽  
Ridhi Jhamb ◽  
Keyword(s):  
Respiratory Sounds ◽  
Respiratory Sound ◽  
Lung Sounds ◽  
Dense Network ◽  
Lung Sound ◽  
Respiratory Dysfunction ◽  
Respiratory Disorders ◽  
Respiratory Illnesses ◽  
In The Beginning

Respiratory illnesses are a main source of death in the world and exact lung sound identification is very significant for the conclusion and assessment of sickness. Be that as it may, this method is vulnerable to doctors and instrument limitations. As a result, the automated investigation and analysis of respiratory sounds has been a field of great research and exploration during the last decades. The classification of respiratory sounds has the potential to distinguish anomalies and diseases in the beginning phases of a respiratory dysfunction and hence improve the accuracy of decision making. In this paper, we explore the publically available respiratory sound database and deploy three different convolutional neural networks (CNN) and combine them to form a dense network to diagnose the respiratory disorders. The results demonstrate that this dense network classifies the sounds accurately and diagnoses the corresponding respiratory disorders associated with them.

scholarly journals An Analysis of the Employee Behavior on Sales in L'Oreal: A Case Study of Pakistan

2020 ◽  
Vol V (I) ◽  
pp. 299-308
Author(s):  
Zargham Ullah Khan ◽  
Ujala Siddiq ◽  
Jaffar Mehmood Butt
Keyword(s):  
Positive Impact ◽  
Descriptive Analysis ◽  
Study Data ◽  
Employee Behavior ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Binomial Regression ◽  
Behavioral Motivation ◽  
Independent Variable

This research is carried out to investigate the most important traits of employee behavior. A quantitative approach was employed for this study. Data were collected from 120 participants using an online questionnaire. These participants are active users of Facebook who are residents of Pakistan and currently working on L'Oreal Pakistan, who are at a different position in L'Oreal Pakistan. Statistical analysis, such as binomial regression which is used for qualitative analysis used together with descriptive analysis, was used to 'assess factors affecting employee behavior in L'Oreal Pakistan. The findings of the research show that the independent variable is indicators of leadership and reward has changed the behavioral motivation of company employees and this motivational, behavioral change has a positive impact on sales of L'Oreal Pakistan. This research investigated the factors which industry can use as a tool to change their employee behavior and sales. This will help to gain increasing generous offers and valuable insights to marketing practitioners and academics.

scholarly journals Botanikus kertek kialakulása, tervezése, építése, és használatuk a gyógyításban

2021 ◽  
Vol 11 (22) ◽  
pp. 420-464
Author(s):  
Laura Sipos
Keyword(s):  
Herbal Medicines ◽  
External Factors ◽  
Online Questionnaire ◽  
Safety And Efficacy ◽  
The Past ◽  
Key Issues ◽  
The Creation

The main purpose of this study is to demonstrate the past way of gardens’ development throughout the men’s history. The onset was the creation of the first gardens, later on, their evolution related to their type and purpose, finally there are concerns about the external factors that instigated the flourishing of horticulture. Monastic medicine is one of the key issues thus this study contains a dedicated chapter about this topic since it is really important how the medical use of herbs evolved throughout the past times. There is also presented the botanical garden⁠—one of the main garden types⁠—using the specific example of this country’s greatest Füvészkert (Herbal Garden) in Hungary. Since ever, there was fiercely debated the therapeutic classification of herbal medicines, if their safety and efficacy were proven, and whether there were needed legislation about their administration. A specific chapter is concerning these issues too. There are also presented outcomes of online questionnaire-based research answered by 700 responders.

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