Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamification in CPR - a Review of Game Dynamics and Mechanics

In sudden cardiac arrest, early cardiopulmonary resuscitation, with emphasis on chest compressions, is a fundamental step in the Chain of Survival. It is of most importance to have good technique to increase the success rate. According to some studies, CPR is less effective because people don't often train their skills. The objective of this work is to identify what game elements have been used to build serious games and gamification approaches for CPR training, and how this may influence the user's learning. From 3 repositories 307 articles were returned from the query, only 33 of these obeyed the inclusion criteria set for the study. The studies should be directed at the general population or health professionals; describes a system/method related to CPR or BLS training and using a gamified approach. Results show that, most of the games are digital; single player and don't use any external hardware. Regarding game elements, simple scoring is the most common feature. The main purpose of training CPR systems focuses more on knowledge acquisition and less on actual practice of CPR skill.
CoAP Flow Signatures for the Internet of Things

The development of technology brought an exponential evolution of IoT networks, and with a number of different devices connected to the Internet, meaning, more IP addresses, traffic and devices susceptible to attacks. These types of networks are characterized by their interoperability and low resources, making it a complex ecosystem and making it difficult to implement management and monitoring measures, leading to a lack of security. Considering the impact that IoT networks have on the market, their protection is essential and, is now one of the themes in constant evolution. With the focus on security, this work aims to characterize a CoAP and CoAPS signatures, through the analysis of a flow in a test scenario and recognize the types of messages of the signature and what is their impact on the network and later creating rules that could help an IDS, in order to save resources and time. When analyzing the flows, it was concluded that it is possible to identify some characteristics of a signature, such as identifying Confirmable and Non-Confirmable messages.
Development of a Graphical Interface for Continuous and Holistic Care Providers

The present work is framed by the research and technological development project ‘ActiveRest’, which aims to develop a textile mattress guard to prevent pressure ulcers (PUs). This solution intends to integrate a monitoring system, based on a network of pressure, temperature and humidity sensors, together with a non-invasive actuation system that operates autonomously and locally, promoting immediate relief of pressure in critical areas. In addition, it is also intended to develop a mobile application, which continuously communicate with the mattress guard, allowing caregivers to be able to, at any time, consult the patient's condition. This article presents the work carried out under the digital technology component, namely the graphic design and programming work required to reach the solution presented. This solution will provide the means of interaction between the user and the mattress guard, in order to access the data generated by the device. In this case, the main focus was the design of a graphic interface, simple and adaptable to different target audience, facilitating their reading and interaction.
Digital Transformation in Colombia: An Exploratory Study on ICT Adoption in Organizations

This study examines the digital transformation of Colombian organizations during the period 2008–2017, in a sample of firms belonging to the following economic sectors: manufacturing industry sector, trade sector and services sector. Differences were found in the level of ICT appropriation depending on the economic sector to which the organization belongs, as well as the identification of five variables that influence information and communication technologies adoption: Absorptive capacity, ICT infrastructure, R&D activities, Sector, and Government regulation. The importance of ICT public policies that support decision-making ICT adoption in organizations is highlighted.
Sentiment Analysis in Online Reviews Classification using Text Mining Techniques

The growth of social media in recent years has led to an increase in online reviews that reflects consumer opinions. Firms benefit greatly from making this information available in order to respond more effectively to consumer dissatisfaction and to exploit market opportunities by observing standards that may represent unsatisfied needs. The present study aims to address this problem through a survey based on the Yelp platform. To this end, 14,000 comments related to different tourism products were used and text mining techniques and topic models were applied to find the main latent topics discussed in the online comments and their associated sentiments. The study presents 20 latent topics from online discussions and reveals that the topic that discusses “Air Travel” themes is the one with a lower sentiment connotation on average and should therefore be the subject of a deeper evaluation.
The complexity of comments from Senegalese online presses face with opinion mining methods

At a time when comments are growing in social networks, e-commerce sites, sites dedicated to information, etc., the technic of opinion mining has finally emerged as the essential tool for processing these data. In the literature, approaches and many methods have been proposed to analyze the texts of official languages (French, English, Portuguese…). Recent solutions increasingly provide results close to reality. However, the complexity of comments from Senegalese online presses question the performance of current methods of opinion mining. The purpose of this article is to highlight the obstacles that these comments may cause with regard to current methods. In perspective, we will try to propose a possible solution to analyze the comments of Senegalese in order to predict their opinion.
Human Detection for Search and Rescue Applications with UAVs and Mixed Reality Interfaces

Human Detection (HD)in natural disaster areas with the use of Unmanned Aerial Vehicles (UAV)or drones is an important approach to preserve human lives in Search and Rescue (SAR)operations, allowing to rescue injured people through previous and fast exploration from safer zones. Nevertheless, constraints on artificial vision and interactive interfaces remain a challenge, namely the ones related to Computer Vision (CV)techniques, since HD cameras drones need to transmit video streams in real-time to Ground Stations (GS). Additionally, GS interfaces of this type of applications are usually not easy to use for unexperienced pilots. In this work, we propose an architecture for SAR operations, integrating an interactive interface that can be used with commercial UAV and Head-Mounted Display (HMD)devices, which provide Mixed Reality (MR)for GS. Results on an application prototype show that a fine tunning process of a non-traditional object detection model with SAR images can improve human detection precision with real-time video streaming.
Business Intelligence and BigData

Currently, corporations generate a large amount of data through the products and services offered to their customers. Analyzing this data correctly provides the company with very useful information that allows it to achieve competitive advantages to the company. However, the amount of data that is generated grows exponentially, imploying a challenge for the organization since the data they are received from different sources, so they have heterogeneous data, structured data and data without structure, which are generated at high speed and requires technologies that are useful for storing, processing and analyzing them Due to the size of these data, the volume of information and the need to obtain results in a short time, traditional technologies do not offer attractive options to companies, it is in this context that Big Data technologies, mining, data and data warehouse are the storage and data processing tools that offer relevant support in decision making in this 21st century. This article shows an analysis of these technologies involved in the business intelligence of a current organization.
Model to evaluate Quality of Experience to IPTV service

Evaluating IPTV's quality of experience has become essential to providers, because they need to offer quality of service to their users. Multiple authors have proposed models to evaluate quality of experience based on indirect methods; this approach has advantages over traditional methods based on subjective tests and objective methods. Based on the above, we present a model to evaluate quality of experience for the IPTV service, using three test scenarios, and applying indirect methods. Additionally, we analyse performance by comparing the results delivered by our proposed model to the results of subjective tests, PSNR and SSIM.
The Use of Computer-Assisted Audit Tools in Portuguese Statutory Auditors' Work

Auditors, in order to increase the effectiveness and efficiency of audit procedures and, consequently, their performance, have had to adopt technological tools to support auditing. Thus, this study intends to identify which computerized tools are used by the Portuguese Statutory Auditors, and reveals the tasks in which those tools are used. In order to achieve these objectives, a questionnaire survey was carried out. The main conclusions show that there is a great variety of technological tools used, being the most used Microsoft Excel. This tool facilitates the analysis work and preparation of audit procedures. Finally, respondents feel that the tools they use are prepared to keep up with the new trends currently facing the Auditing.
Traffic Scheduling Optimization in Cognitive Radio based Smart Grid Network Using Mini-Batch Gradient Descent Method

Smart Grid (SG)network comprises of wide variety of applications with diverse Quality of Service (QoS)requirements. Each SG application has its own requirements of latency, throughput and reliability. Cognitive Radio (CR), which offers better spectrum utilization through opportunistic spectrum access and spectrum sharing, is considered as a promising wireless technology for SG networks. Traffic scheduling and optimization is one of major challenges in CR-based SG communication network. In this paper, we propose a novel usage of mini-batch gradient descent method for the optimization of QoS-based differential scheduling in CR-based SG network. A 2-class based priority scheduling model with emergency and interrupt handling capability is used. It is shown through simulation results that mini-batch gradient descent method achieves better results as compared to gradient descent method in terms of the fast convergence and minimization of the overall cost function.
Planning a trip online: The Portuguese tourist

This study focuses on the impact of technology and on the planning of a trip by a Portuguese tourist. From the literature review, studies done at the European level, the technology inherent to tourism is provided to the entire age range, and fundamentally to the planning of accommodation, transport and tourist packs. The absorption of information is always highlighted by the easy and fast access to the Internet increasingly accessible to anyone, promoting behavioral changes in tourism planning. Thus, an online survey (with 180 valid answers) was carried out, which focused mainly on university students, and was restricted to Portuguese citizens. The survey determined that online platforms are most used for accommodation (87.2%), transportation (87,2%) and the demand for information (68.8%) to the detriment of catering (7.3%), and these are mainly being used because of their speed (79.4%) and simplicity (80.7%). To conclude, our study confirms the bibliographic review, and it was determined that practically all respondents assume the influence of digital platforms in the planning of their trips (99.1%), with 89% going further and affirming that in the future all planning will be carried out in an exclusive way online.
Incidence of the RS(255,223) encoder in the performance of a Zigbee point-to-point system in an indoor environment

This paper presents the incidence of the RS error correction technique on the performance of a point-to-point link based on Zigbee technology, the measurements show that the RS scheme (255,223) allows the Zigbee system to achieve better performance in cases of interference. The evaluation of the RS technique uses the Euclidiano and Berlekamp Masey algorithms, in both processes requiring operations based on finite fields.
Information Extraction Applications for Clinical Trials: A Survey

Many Information Extraction (IE)applications are available, in several domains, to handle the increasingly volume of data. This paper reviews applications and methods used for IE and performs an analysis with the objective of understanding which applications have already been used for clinical trials and applications that although they were not and would have an easy adaptation to be used as well.
A performance study on different data load methods in relational databases

Alongside with new cloud system emerging, legacy systems inside organizations are being migrated. With them, databases, and all stored data, which might variate from some GB to large amounts of TB. These systems migrations pose considerable problems - data export method, import method, consumed time, consistency, and so on - the so-called legacy system migration opens a new research topic, concerning how to migrate data timely efficient. The same problem, loading data, can be applied to ETL processes, with particular focus to the Load phase, which needs to be performed as fast as possible. This paper provides a brief review of different relational databases load methods and compares their performance. Experimental results show that despite the different available methods to efficiently load data (without losing information), performance is severely affected, presenting variations that can go from seconds to hours/days depending on the used strategy
Study about the Utilization of RADAR During the Conduct of the Navigation

There have been technological advances in all areas, especially in maritime navigation systems. Design changes and the increase of automatisms, leads to transformations in the interaction between the operator and the decision support system, also reverting to changes in the cognitive processes, in the processes of information search and processing, such as situational awareness, anticipatory thinking. These changes can affect operators, both positively or negatively, and may have the opposite effect to the intended. They can cause an increase of the cognitive effort or until the undervaluation of events that are relevant to the safety of navigation. The present article presents preliminary results of a study that aims to analyse the work performed by the RADAR operator and the cognitive processes present during a period of great cognitive activity for all elements of the ship bridge. The data are being collected on Portuguese naval vessels sailing in high density areas of navigation and proximity to hazards, in the ports of Lisbon and Setubal. Records are made using Eye Trackers operated in the RADAR operator and by observing their work in a team, supported by audio and video recordings of all the activity on the ship's bridge. These data are complemented by two questionnaires for assessment of situational awareness and work effort (SART and NASA-TLX), totalizing the data of three questionnaires. The results suggest that the RADAR operator is subject to a high cognitive effort and that the interaction with the team is very important for this to maintain a good level of situational knowledge.
Key Determinants of Social Media Adoption in the B2B Context

The Internet and social media have gained increasing visibility in the business world. In the last decade, this digital transformation has led to a change in the behavior of marketers and managers around the world. It should be noted that, although there are still some fears arising from the use of social media in the B2B context, it is unquestionable that these have become essential in the design of a competitive strategy. The purpose of our study is to identify the main determinants of the adoption of social media in the B2B context. Based on a sample of 223 workers from B2B companies, the structural equations model was used to test the relationships among the variables learning, memorability, errors, usability, usefulness, social influence, satisfaction, trust, intention to use social media and adoption of social media. The results showed that all variables considered are fundamental in explaining the adoption of social media.
Synchronous Rectification Method for High Frequency CLLC Resonant Cnverter

CLLC resonant converter employing wide bandgap devices requires a synchronous rectification (SR) to obtain high power conversion efficiency. Conventional SR methods for the CLLC resonant converter have a duty loss to prevent turn-on and-off switching failure in the SR operation. Especially, turn-on duty loss cannot be avoided to prevent the turn-on switching failure during the discontinuous conduction mode (DCM) operation. The proposed SR method uses the transformer voltage reflected on the third winding and the forward voltage drop of the rectifier, which can minimize the duty loss during the turn-on period. In addition, it can operate during the continuous conduction mode (CCM) as well as the DCM. The operational principles are introduced to design and to implement the proposed SR circuit. Simulation and experimental results verify the performance of the proposed SR method a 40 W prototype bidirectional CLLC resonant converter.
Source Anonymization of Digital Images: A Counter–Forensic Attack on PRNU based Source Identification Techniques

A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, source-anonymization of digital images has become a critical issue in the present digital age. The current literature contains a few digital forensic techniques for "source-identification" of digital images, one of the most efficient of them being Photo-Response Non-Uniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of source identification. In this paper, we propose a counter-forensic technique to mislead this PRNU sensor noise pattern based source-identification, by using a median filter to suppress PRNU noise in an image, iteratively. Our experimental results prove that the proposed method achieves considerably higher degree of source anonymity, measured as an inverse of Peak-to-Correlation Energy (PCE) ratio, as compared to the state-of-the-art.
Effect of lipopolysaccharide addition on the gene transfection of spermine-introduced pullulan-plasmid DNA complexes for human mesenchymal stem cells

Abstract The objective of this study is to investigate the effect of lipopolysaccharide (LPS) addition on the gene transfection of human mesenchymal stem cells (hMSC). hMSC were treated with the LPS at different concentrations and the complex of spermine-introduced pullulan and luciferase plasmid DNA for 3 h. The maximum level of gene expression was observed for hMSC treated with a certain concentration range of LPS. In addition, the cytotoxicity, cellular internalization of complexes, and cell cycle after LPS treatment were investigated. The cytotoxicity increased with an increase in the LPS concentration treated. On the other hand, the cellular internalization of complexes increased with the increased LPS concentration, although the internalization was sharply reduced at the high concentration. The LPS treatment increased the actin polymerization of cells to allow to spread more. The enhanced cells spreading would enhance the cellular internalization of complexes. In addition, the LPS treatment increased the rate of cell cycle. It is possible that the balance of cytotoxicity, cellular internalization, and cell cycle caused by the LPS addition results in the enhanced gene transfection at a certain LPS concentration. It is concluded that LPS treatment positively modified the cellular internalization and the cell cycle, resulting in the enhanced gene transfection.
Near full genome characterization of HIV‐1 unique recombinant forms in Cameroon reveals dominant CRF02_AG and F2 recombination patterns

In Cameroon, a manifold diversity of HIV strains exists with CRF02_AG and unique recombinant forms (URFs) being the predominant strains. In recent years, a steady increase in URFs and clade F2 viruses has been monitored through partial genome sequencing. There is an information gap in the characterization of emerging URFs along the full genome, which is needed to address the challenges URFs pose towards diagnosis, treatment and HIV‐1 vaccine design.
Development and Psychometric Properties of the Sussex-Oxford Compassion Scales (SOCS)

Compassion has received increasing societal and scientific interest in recent years. The science of compassion requires a tool that can offer valid and reliable measurement of the construct to allow examination of its causes, correlates, and consequences. The current studies developed and examined the psychometric properties of new self-report measures of compassion for others and for the self, the 20-item Sussex-Oxford Compassion for Others Scale (SOCS-O) and 20-item Sussex-Oxford Compassion for the Self Scale (SOCS-S). These were based on the theoretically and empirically supported definition of compassion as comprising five dimensions: (a) recognizing suffering, (b) understanding the universality of suffering, (c) feeling for the person suffering, (d) tolerating uncomfortable feelings, and (e) motivation to act/acting to alleviate suffering. Findings support the five-factor structure for both the SOCS-O and SOCS-S. Scores on both scales showed adequate internal consistency, interpretability, floor/ceiling effects, and convergent and discriminant validity.
Using the Multitheory Model to Predict Initiation and Sustenance of Physical Activity Behavior Among Osteopathic Medical Students

Abstract Context The multitheory model (MTM) is a newly developed fourth-generation theoretical framework that addresses both initiation and sustenance of health behavior change. Studies have shown that the MTM is efficacious in predicting a range of health behaviors. Objective To assess the utility of the MTM in predicting initiation and sustenance of physical activity behavior among osteopathic medical students. Methods In this cross-sectional study, a volunteer convenience sample was recruited from an osteopathic medical school student population at a university in the southeastern region of the United States. An online survey was used to collect self-reported data on sociodemographic information and MTM constructs. Multiple linear regression using the enter method for modeling was performed to determine the predictive ability of the MTM constructs. Results Of the 135 participants, 52.6% were women and 67.7% were white. The initiation model explained 25.8% of the variance (adjusted R2=0.238). Behavioral confidence was a statistically significant predictor of initiation of physical activity behavior change. The sustenance model explained 41.7% of the variance (adjusted R2=0.402). Changes in social environment and emotional transformation were statistically significant predictors of sustenance of physical activity behavior change. Conclusion The MTM appears to be a robust theoretical framework for designing behavior change interventions to increase physical activity among osteopathic medical students.