Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Activity in Assisted Living Facility Residents

PURPOSE: The purpose of this dissertation was to (1) synthesize relevant scientific literature on factors influencing PA in this population (2) explore the experience and meaning of PA in ALF residents and (3) assess the feasibility and acceptability of the activPAL accelerometer and a set of questionnaires for measuring PA behaviors as part of a preliminary step in the development of future research. METHODS: Studies were analyzed using Whittemore and Knafl‘s (2005) methodology. deBruin et al. (2008) criteria were used to determine methodological quality. A qualitative design was used to explore the experience and meaning of PA. A semi-structured interview was conducted. Raw data were reduced and analyzed guided by Moustakas‘ and Colaizzi‘s methodology. The activPAL was taped to the subjects‘ thigh for seven consecutive days of 24-hour monitoring of PA. A set of five questionnaires were completed. A structured interview assessed the likability and comfort of the activPAL and questionnaires using Likert scales. RESULTS: The integrative review consisted of 12 articles and nine were found to be cross-sectional, descriptive studies with a mean quality score of 9.58 (range 5.0-19.0, SD=3.70) indicating the strength of evidence for determining factors that influence PA in ALF residents is low to medium. The study sample consisted of 20 older adults in assisted living aged 57-96 years (M=77.4, SD=10.6) and included 16 (80%) females. Twenty-seven meaning units were derived and clustered into five themes. Residents were sedentary but saw themselves as active, in part because they compared themselves to others perceived as less active. PA meant disability could be prevented. Approximately 20 hours per day were spent sitting or lying (M=20.2, SD=2.3) and one hour per day was spent stepping. Significant correlations were detected between steps taken and age (r = .659), MMSE (r = .466) and CCMI (r = .648). CONCLUSIONS: Quality evidence is lacking regarding factors influencing PA in ALF residents. PA is limited by expectations and understanding of PA. The activPAL and questionnaires are feasible to use for measuring PA in ALF residents. Further research is needed to clarify the importance of PA for healthy living in this population.
COMPARATIVE STUDY OF BUG REPORT SUMMARIZATION TECHNIQUES

Bug Reports are one of the very important artifacts during software development process and is one of the very popular artifacts of research among the researchers. Summarization is one application on bug reports which helps solve a lot of interesting issues of bug reports like bug triaging and bug duplicate detection. Many researchers have done research on bug report summarization using various techniques like supervised approaches, unsupervised approaches, deep learning approach, feature-based approach. In this paper, we have systematically evaluated the works and presented them in the comparative form. For our comparison work, we have selected five research papers among all. The papers are chosen with the thing in mind that all the important concepts which are getting used for bug report summarization gets covered. The paper discusses the approach, concept, strengths, limitations, tools if used, dataset used, the evaluation techniques and the performance results that are used or obtained in the chosen research works. Our work will help other researchers have a clear overview of the very popular works in this field and thus will help improve and carry out further works in this field of research.
Home language maintenance and development among first generation migrant children in an Irish primary school: An investigation of attitudes

This qualitative study was undertaken against the backdrop of rapidly increasing levels of immigration to Ireland and a subsequent growing increase in the percentage of children attending Irish primary schools with a first language other than English or Irish, the two official languages of the country. The research investigates the attitudes of a group of first generation minority language children, of various ethnic backgrounds, to home language maintenance and development as well as their experiences of home language use both in school and in the family home. Data were collected from 17 minority language children, aged between 10 and 13 years and living in Ireland for a period of between three and seven years. Data collection methods included focus group interviews and semi-structured individual interviews, during which participants expressed beliefs, opinions and attitudes surrounding language practices. Interviews conducted with four parents of the child participants provided additional data. In addition, an interview with the teacher of a complementary language school for Polish children highlighted the efforts made by the Polish community; the largest non-Irish group in Ireland, to promote home language maintenance in the family. The data show that while the majority of children and parents display positive attitudes to home language maintenance and development, children face challenges in continuing to develop the literacy skills in the home language. The importance of maintaining and continuing to develop the home language for continued communication with extended family members is clear. The need for familial support in relation to the opportunities children have to engage in home language learning is evident. The perceptions of English as a global language and as a valuable asset were evident among both children and parents. There is no provision made for the formal learning of home languages to children in Ireland, and the only opportunity for children to do so is limited to privately run complementary schools, which are not always accessible to all nationalities. Concerns of children and parents regarding continued development in the home language are voiced, and in most cases, these concerns are borne out of a possible return to their native countries.
Physiologic Remote Ischemic Training Offers a Cardioprotective Effectagainst Myocardial Infarction in a Time-Dependent Manner

Aims: The aim of this study was to investigate the effectiveness of Physiologic remote ischemic training (PRIT) to second MI and the difference of variable durations of PRIT against myocardial infarction. Methods: A myocardial infarction model was first established in 64 male Sprague-Dawley (SD) rats, and after one week the modeled animals were equally randomized into two groups: the PRIT group, which was further divided into1-, 2-, 4- and 6-week PRIT subgroups as 1w, 2w, 4w and 6wPRIT, and the pure myocardial infarction group, which were further divided into 1-, 2-, 4- and 6-week myocardial infarction groups as 1wMI, 2wMI, 4wMI and 6wMI as controls. At the end of scheduled time points, all rats received the second MI. Myocardial infarct size, vascular endothelial growth factor (VEGF), capillary density and were determined. Results: The infarct size in PRIT groups was reduced significantly compared to control MI groups (p<0.05). VEGF protein level and capillary density of the myocardium were significantly higher in PRIT groups than those in control MI groups (p<0.05). Conclusions: PRIT could induce a protective effect against myocardial infarction and these trends became more pronounced with the prolonging of the training time.
A Usability Evaluation Experiment of 3D User Interfaces for Elderly

Health professionals have used 3D user interfaces as support tools for the elderly rehabilitation, offering fun and beneficial resources for the practice of physical and cognitive activities to them. In this context, it is necessary to establish mechanisms to evaluate the usability of these interfaces, in order to achieve a balance between functionality, ease of use and sense of well-being. The aim of this study is to report a usability evaluation experiment of a virtual reality game developed specifically to elderly people, as a means to identify the needs of this public regarding 3D user interface evaluation. An initial methodology was tested exploring two points of view in the game, and its results showed that it was adequate for seniors. However, it was noted the need to include training periods and an evaluation with a heterogeneous group of seniors to consolidate and optimize the proposed approach, as well as readjust the instruments used.
Influence of Entrepreneurship Psychology on Small Business Creation and Organisational Success

The study is a quantitative research on the psychological make-up of successful small business entrepreneurs. The researchers begin with a review of literature in the area of entrepreneurship psychology. The article then provides details of the research methodology applied, profile of the participants, samples of quotes from transcripts based on the hermeneutic phenomenological study conducted with the small business entrepreneurs and their staff, phenomenological themes and sub-themes developed based on participant reflection and researchers’ analysis, leading to the deduction of a conceptual framework on entrepreneurship psychology. Findings are then presented along with recommendations on applications of the framework for entrepreneurship education and successful management of small businesses.
The Performance of Employees Influenced by Leadership Styles and Compensation

The Employee performance is adjusted to the ability and culture of a company, good employee performance will have an impact on the company's performance. Employee performance is influenced by various factors such as leadership style and compensation. Then the purpose of this research is to determine the effect of leadership style and compensation on employee performance. The research methodology is causal-comparative with a quantitative approach. Respondents in this research were 40 employees taken by the total sampling technique. The data analysis method in this research uses multiple linear regression. The results of the research are as follows; 1). Leadership style has a positive and significant influence on employee performance, 2). Compensation has a positive and significant effect on employee performance, 3). Leadership style and compensation together affect the employee performance variable by 38.1% and by 61.9% influenced by other variables.
Physical fitness, fatigue and physical training in sarcoidosis

This dissertation examines the effect of physical training in sarcoidosis patients. Sarcoidosis is a disorder of the immune system which may involve the entire body and usually affects the lungs. It is often accompanied by fatigue, pain and loss of fitness. As a result, the disorder is disabling to some degree. Strookappe shows that physical training considerably improves the patient’s quality of life and reduces fatigue regardless of age, gender, respiratory fitness or medication use. Little is known about the effect of physical training in sarcoidosis. The results of this dissertation are, therefore, a useful addition to the current drug treatment of sarcoidosis.
Visual workflow and process optimisation : a method of analysis for patient flow in the hospital emergency department

Recent policy announcements by State and Federal Governments have centred on the need to explore the use of process management principles, normally applied to manufacturing industry, to health services management. The work presented in this paper is part of a broader project that will provide methods to reduce patient waiting times in emergency departments through making these processes visual, and plan for work process improvements. This paper discusses the development of an innovative method to analyse patient flow in an emergency department and provide solutions for health services. The expected outcomes include improvements in the efficiency and effectiveness of emergency departments through the visual optimisation methodologies for identifying and improving process inefficiencies that can be readily adapted to other contexts. DEMAND AND SUPPLY OF HOSPITAL SERVICES The management of an emergency department is complex because of unpredictability of demands for service, the nature of the service provided, the resources required and the outcomes to be achieved. The Emergency Department capacity is one of the most pressing concerns of both government and health department managers. In NSW Emergency Department demand since 2004/05 grew 6.9% annually. More than 30% of the population visited NSW Emergency Departments in 2006/07, and 26% visited on more than one occasion (NSW Government Department of Health, 2007). In addition to increasing demands, hospital bed capacity is strained and these compounding factors have caused hospital occupancy to exceed 95% (ACEM, 2004). Further, NSW has one of the lowest ratios of emergency specialists to the number of patients treated in Emergency Departments in Australia (Joint Committee on the Royal North Shore Hospital, 2007). The increase in demand, reduction of bed capacity and the low specialist-to-patient ratio lead to access block, and has flow-on consequences for overall hospital management. Inpatient bed access block occurs when a patient who has completed Emergency Department care waits for an inpatient bed. The Emergency admission performance indicator, measuring the percentage of patients admitted from the Emergency Department in less than eight hours, measures access block as the remaining percentage of patients (Joint Committee on the Royal North Shore Hospital, 2007). Access block results from both increased demand for Emergency Department services, and inadequate systems or processes to ensure occupied beds are vacated on time. According to the Booz Allen Hamilton report (2007), the key drivers for an increased demand include changing patient
P Solubilisers for Sustainance of Agriculture- A Review

Phosphorus is the most common nutrient which helps the plants to convert metabolites into usable building blocks for growth. The use of phosphate solubilising bacteria as inoculants simultaneously increases P uptake by the plants and hence improves crop yield. Strains from the genera Pseudomonas, Bacillus and Rhizobium are among the most powerful Phosphate solubilisers. The principal mechanism for mineral phosphate solubilisation is the production of organic acids. Acid phosphatase plays a major role in the mineralization of organic phosphorous in soil. Several phosphatase encoding genes have been cloned and characterized. A few genes involved in mineral phosphate solubilisation have been isolated. Therefore, genetic manipulation of phosphate solubilising bacteria can improve plant growth. Synergistic effect of phosphate solubilising microorganisms on TCP solubilisation was highest when triple culture of Aspergillus niger, Aspergillus flavus and Trichoderma sp. was inoculated in NBRIP broth as compared to double and single inoculations.
Genetic Polymorphisms of Manganese-Dependent Superoxide Dismutase in Chagas Disease

Background Infection with Trypanosoma cruzi triggers inflammatory mechanisms and induces the activity of manganese-dependent superoxide dismutase. Genetic single-nucleotide polymorphisms of this enzyme generate proteins with reduced enzymatic activity. The aims of this study were to determine the frequency of the polymorphisms Ala-9Val and Ile58Thr of the manganese-dependent superoxide dismutase gene in DNA from chagasic and nonchagasic patients and to establish a relationship between these polymorphisms with chronic chagasic cardiomyopathy. Methods Two hundred fifty-eight unrelated patients underwent a general clinical examination and an electrocardiogram, a chest radiograph, and a 12-lead color Doppler echocardiogram were taken. Besides, we evaluate liver and renal function, lipid profile, and diagnosis of Chagas disease and genetic polymorphisms by polymerase chain reaction–restriction fragment length polymorphism. The patients were classified as nonchagasic group with negative serology for Chagas disease and the chagasic group with positive serology. This group was subdivided into asymptomatic when patients did not present abnormal cardiac symptoms and symptomatic if the chest radiograph, electrocardiogram, and/or color Doppler echocardiogram showed some alteration. Results The female chagasic population shows a high frequency of the ile58ile genotype (P = 0.010; odds ratio, 3.3; 95% confidence interval, 1.35–8.38). Lower frequency of the ala-9ala genotype was detected in symptomatic Chagas patients (P = 0.001; odds ratio, 3.147; 95% confidence interval, 1.39–7.482). The analysis revealed an interaction between the ala/ala + val/val genotype (P = 0.0108) with the plasma concentration of low-density lipoprotein cholesterol in the symptomatic Chagas group. Conclusions Our results show that the presence of the val allele is associated with chronic chagasic cardiomyopathy. The prognostic value of these results should be more deeply investigated.
DeepNOMA: A Unified Framework for NOMA Using Deep Multi-Task Learning

Non-orthogonal multiple access (NOMA) will provide massive connectivity for future Internet of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach the performance limit with only conventional communication-theoretic tools. In this paper, we resort to deep multi-task learning for end-to-end optimization of NOMA, by regarding the overlapped transmissions as multiple distinctive but correlated learning tasks. First of all, we establish a unified multi-task deep neural network (DNN) framework for NOMA, namely DeepNOMA, which consists of a channel module, a multiple access signature mapping module, namely DeepMAS, and a multi-user detection module, namely DeepMUD. DeepMAS and DeepMUD are automatically trained in a data-driven fashion, and a multi-task balancing technique is then proposed to guarantee fairness among tasks as well as to avoid local optima. To further exploit the benefits of communication-domain expertise, we introduce constellation shape prior and inter-task interference cancellation structure into DeepMAS and DeepMUD, respectively. These sophisticated designs help to reduce the implementation complexity without sacrificing DNN’s universal function approximation property, which makes DeepNOMA a universal transceiver optimization approach. Detailed experiments and link-level simulations show that higher transmission accuracy and lower computational complexity can be simultaneously achieved by DeepNOMA under various channel models, compared with state-of-the-art.
Perceived Risk and Firm Performance for Chain Hotels in Thailand: Moderating Roles of Work Roles

Research on the effect of perceived risk on firm financial performance has grown more important. This study aims to investigate the effect of the perceived risk of chain hotel staffs on their hotel’s financial performance and the moderating role of the work roles of hotel staffs. One hundred and ten chain hotels in Thailand were represented by 400 respondents who are chain hotel staff. A questionnaire survey and financial database were collected in this study. Results from Ordinary Least Squares (OLS) regression found a significantly positive relationship between perceived risk and firm financial performance, including profitability, growth, and market value. In addition, the different work roles of the hotel staff influenced their perceptions of risk and firm financial performance. In terms of organizational implications, our findings would suggest that enhancing perceived risk policies within an organization would enhance firm financial performance. However, collaborating and balancing the work roles of hotel staff should be considered and the relationships between perceived risk and staff work behavior should be conducted in further research. Keywords: Chain Hotels, Firm Financial Performance, Perceived Risk, Work Roles of Hotel Staff
Player Experience of Needs Satisfaction (PENS) in an Immersive Virtual Reality Exercise Platform Describes Motivation and Enjoyment

ABSTRACT Recent research suggests that virtual reality (VR) games can engage players in physical activity with high levels of enjoyment. Understanding users’ motivation to engage and enjoy immersive VR exercise platforms is thus important to designers. We designed a VR exercise platform and conducted an experiment with two conditions, one with a static user interface (UI) and the other with an open world environment. Across participants there was significantly (p = 0.03*) greater enjoyment reported in an open world compared to static UI. Enjoyment in both static UI and open world conditions was positively correlated wih user’s psychological needs and experience; autonomy and immersion. Participants’ future play intention was also predicted by autonomy and immersion, but only within the open world condition. Our findings also suggest players can be classified into entertainment-focused and exercise-focused with different expectations and therefore different engagement behaviors with each VR exercise environment. The study highlights the value of informing VR design with measures of psychological need satisfaction.
A Deep Learning Algorithm for the Max-Cut Problem Based on Pointer Network Structure with Supervised Learning and Reinforcement Learning Strategies

The Max-cut problem is a well-known combinatorial optimization problem, which has many real-world applications. However, the problem has been proven to be non-deterministic polynomial-hard (NP-hard), which means that exact solution algorithms are not suitable for large-scale situations, as it is too time-consuming to obtain a solution. Therefore, designing heuristic algorithms is a promising but challenging direction to effectively solve large-scale Max-cut problems. For this reason, we propose a unique method which combines a pointer network and two deep learning strategies (supervised learning and reinforcement learning) in this paper, in order to address this challenge. A pointer network is a sequence-to-sequence deep neural network, which can extract data features in a purely data-driven way to discover the hidden laws behind data. Combining the characteristics of the Max-cut problem, we designed the input and output mechanisms of the pointer network model, and we used supervised learning and reinforcement learning to train the model to evaluate the model performance. Through experiments, we illustrated that our model can be well applied to solve large-scale Max-cut problems. Our experimental results also revealed that the new method will further encourage broader exploration of deep neural network for large-scale combinatorial optimization problems.
Collaborative SLAM for outdoor environments

This thesis proposes large-scale mapping model of urban and rural environments using 3D data acquired by several robots. The work contributes in two main ways to the research field of mapping. The first contribution is the creation of a new framework, CoMapping, which allows to generate 3D maps in a cooperative way. This framework applies to outdoor environments with a decentralized approach. The CoMapping's functionality includes the following elements: First of all, each robot builds a map of its environment in point cloud format.To do this, the mapping system was set up on computers dedicated to each vehicle, processing distance measurements from a 3D LiDAR moving in six degrees of freedom (6-DOF). Then, the robots share their local maps and merge the point clouds individually to improve their local map estimation. The second key contribution is the group of metrics that allow to analyze the merging and card sharing processes between robots. We present experimental results to validate the CoMapping framework with their respective metrics. All tests were carried out in urban outdoor environments on the surrounding campus of the Ecole Centrale de Nantes as well as in rural areas.