Miracle-dz/UniFAR-FTUs huggingface dataset:
Discretion Sustaining Location-Based Provision Etiquette for K-NN Search

A large number of individuals speak with their surroundings through their companions and their proposals utilizing Mobile gadget applications, for example, four square. However without legitimate security assurance, these frameworks can be effortlessly abused to track clients or target them for home section without assent of a person. Here presenting LocX, a novel option that gives fundamentally enhanced area protection without including vulnerability into question results or depending on solid suppositions about server security. The all area information imparted to the server need to have secure client particular separation safeguarding direction changes. The client's insider facts are shared by their companions so they can apply the same change. The server assessed all area questions. However the servers are not able to see the real area information from the changed information or from the information access because of the security components ensure by this framework. The outcome determines that LocX gives protection against an effective foe model, and it demonstrate that it gives security and almost no execution overhead as it make utilization of model estimations valuable throughout today's cell phones permit client to pick a level of security as they yearning.
Work-life interface of Portuguese international business travelers O interface trabalho-vida pessoal dos viajantes de negócios internacionais Portugueses

Purpose – The purpose of this paper is to examine the narratives of the work-life interface (WLI) of Portuguese international business travelers. Design/methodology/approach – Semi-structured interviews with 14 Portuguese international business travelers were conducted to expose the narratives of the WLI in terms of demands, resources, and coping and how these work-life events shape work-identity. Findings – The findings show that: work-life events are interconnected and are sources of conflict and enrichment; work-life boundaries are personally managed and socially enacted; and WLI shapes workidentity. The analysis shows that occupational travel can be both a source of positive self-regard and fulfillment that entails high work-identity and low boundary control or a source of conflict and identity threat. In either case, work-life coping is devised to prompt self-worth. Originality/value – Following the findings from this exploratory study, several research propositions are outlined for international business travelers, highlighting the interactions between work-life centrality, work-life boundary management and work-identity. In extending the work-life research to international business travelers this study reveals the extent to which the advancement of work-life research benefits from the theoretical and empirical contributions of the literature on work-identity.
A Conceptual Framework to Predict Mental Health Patients' Zoning Classification

Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate perceived risk from the patients' conditions. It is a widely adopted manual system used across mental health settings, however it is time consuming and costly. We propose to automate classification, by adopting a hybrid approach, which combines Temporal Abstraction to capture the temporal relationship between symptoms and patients' behaviors, Natural Language Processing to quantify statistical information from patient notes, and Supervised Machine Learning Models to make a final prediction of zoning classification for mental health patients.
Usability Assessment of a Powered Wheelchair Controller: How Impairments Affect Human Computer Interaction Based Tasks

Problem: Designing the user experience is a growing trend in product design; however this trend has not greatly benefited people with impairments and disabilities. There are no practical tools to broadly assist with this issue. There is a need for standardized measures to quantify impairment, a model to predict how designs may perform and a need for data regarding how people with impairments interact with consumer technology. Purpose: To conduct a usability analysis with an industry partner on their powered wheelchair controller using participants with varying impairments. The industry partner was seeking better insight into the benefits of formal user testing. Method: Forty consenting adults were given a score representing their level of impairment using six measures from the International Classification of Functioning (ICF). These measures were identified by the researcher to affect interaction with a device. Performance was measured by time taken to complete tasks, errors made, reported task difficulty and reported controller usability. Results: Performance was reduced in participants with a higher ICF score and age. An ICF score less than or equal to 2 was 117 times more likely to not complete the tasks, greater than or equal to 3 was not able to complete the experiment. Age >50 years took an average 79 seconds longer than <35 years to complete a task and reported greater difficulty, more errors and a lower usability for the controller. Implications: Low to moderate levels of impairment has a significantly negative effect on the usability of common devices. Difficulties were mostly cognitive with participants unable to create an accurate mental model of the system. Participants with lower performance tended to be overly optimistic about their abilities. Mistakes were the greatest source of error followed by lapses and almost no reported or observed slip errors. Original Contribution: The ICF has never been used as a metric for usability testing. This study successfully applied the ICF alongside other measures to prove its validity. Based on the results and current literature the Task Process Model was created to provide a simple and practical way to describe the interaction of people completing a task of basic to moderate complexity. Author Contact: rory.m. horne@gmail.com
Efficacy and Safety of Enoxaparin versus New Oral Anticoagulants to Prevent Venous Thromboembolism after Total Hip Replacement: A Systematic Review and Meta-Analysis

Prophylactic anticoagulant therapy is recommended for reducing the risk of venous thromboembolism (VTE) after a total hip replacement (THR). However, it is not clear which anticoagulant is preferable. Hence, a systematic review and meta-analysis of randomized double-blind controlled trials (RDBCTs) were conducted to investigate the clinical efficacy and safety of enoxaparin in comparison with newer oral anticoagulants for the prevention of VTE after THR. The Cochrane Library, Scopus, Web of Science, Embase, and PubMed/Medline databases were used for PICO search strategy. Relative risks (RR) of symptomatic VTE, clinically relevant bleeding, mortality, and a net clinical endpoint were estimated employing a random effect meta-analysis. ITC and RevMan software were used for indirect and direct comparisons, respectively. Nine RDBCTs comprising 24,584 patients were included. As compared to enoxaparin, a reduced risk for symptomatic VTE was observed with rivaroxaban (confidence interval [CI]: 0.32–0.77; RR: 0.46%) and comparable with apixaban (0.12–1.26; 0.42%) and dabigatran (0.22–2.20; 0.70%). Contrarily to enoxaparin, a greater risk for clinically relevant bleeding was observed with rivaroxaban (1.03–1.48; 1.23%), comparable with dabigatran (0.96–1.33; 1.10%) and reduced with apixaban (0.19–5.66; 0.96%). In indirect or direct comparisons, the interventions did not differ on the net clinical endpoint. In conclusion, the findings of this meta-analysis revealed no significant difference in the efficacy and safety of new oral anticoagulants as compared to enoxaparin for the prevention of VTE after total hip replacement surgery.
N400 event‐related brain potential and functional outcome in persons at clinical high risk for psychosis: A longitudinal study

The N400 event‐related brain potential (ERP) semantic priming effect is thought to reflect activation by meaningful stimuli of related concepts in semantic memory and has been found to be deficient in schizophrenia. We tested the hypothesis that, among individuals at clinical high risk (CHR) for psychosis, N400 semantic priming deficits predict worse symptomatic and functional outcomes after one year.
Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration

Diabetic foot ulcer (DFU) is a chronic wound and a common diabetic complication as 2% - 6% of diabetic patients witness the onset thereof. The DFU can lead to severe health threats such as infection and lower leg amputations, Coordination of interdisciplinary wound care requires well-written but time-consuming wound documentation. Artificial intelligence (AI) systems lend themselves to be tested to extract information from wound images, e.g. maceration, to fill the wound documentation. A convolutional neural network was therefore trained on 326 augmented DFU images to distinguish macerated from unmacerated wounds. The system was validated on 108 unaugmented images. The classification system achieved a recall of 0.69 and a precision of 0.67. The overall accuracy was 0.69. The results show that AI systems can classify DFU images for macerations and that those systems could support clinicians with data entry. However, the validation statistics should be further improved for use in real clinical settings. In summary, this paper can contribute to the development of methods to automatic wound documentation.
Selective rating: partisan bias in crowdsourced news rating systems

ABSTRACT Crowdsourced news rating systems have been suggested as a solution to reducing the amount of misinformation online audiences see. This study expands previous research crowdsourcing by looking at how characteristics of the rating system affect user behavior. In an experiment (N= 1,021), two parameters of the rating system were manipulated. First, users were shown different varieties of news brands on the “menu” they were asked to rate. Second, participation was mandatory for half and voluntary for others. Results indicate partisans rated more news brands when they saw an ideologically dissimilar news menu than one that matched their ideology. Further, the trustworthiness rating of the mainstream news menu decreased when participants had a choice to participate rather than were forced. These results have important implications for understanding how users participate in crowdsourcing news credibility.
Predicting Service Metrics from Device Statistics in a Container-Based Environment

Service assurance is critical for high-demand services running on telecom clouds. While service performance metrics may not always be available in real time to telecom operators or service providers, service performance prediction becomes an important building block for such a system. However, it is generally hard to achieve. In this master thesis, we propose a machine-learning based method that enables performance prediction for services running in virtualized environments with Docker containers. This method is service agnostic and the prediction models built by this method use only device statistics collected from the server machine and from the containers hosted on it to predict the values of the service-level metrics experienced on the client side. The evaluation results from the testbed, which runs a Video-on-Demand service using containerized servers, show that such a method can accurately predict different service-level metrics under various scenarios and, by applying suitable preprocessing techniques, the performance of the prediction models can be further improved. In this thesis, we also show the design of a proof-of-concept of a Real-Time Analytics Engine that uses online learning methods to predict the service-level metrics in real time in a container-based environment.
Copy Number Variation and Frequency of rs179008 in TLR7 Gene Associated with Systemic Lupus Erythematosus in Two Mexican Populations

Systemic Lupus Erythematosus (SLE) is an autoimmune disease in which genetic factors play a role in the susceptibility to develop it. Genes related to the synthesis of interferons such as TLR7 and genetics factors such as single nucleotide polymorphisms (SNPs) or copies number variation (CNV) in the gene have been involved with the development of the disease. The genetic differences between the populations contribute to the complexity of LES. Mexico has a mestizo population with a genetic load of at least three origins: Amerindian, Caucasian, and African. The mestizo of Yucatán is the only group whose contribution Amerindian is mainly Mayan, geographically distant from other Mexican Amerindians. We analyzed the CNV and the frequency of SNP rs179008 of the TLR7 as genetic risk factors in developing the disease in patients from Yucatán and Central Mexico. Results show that 14% of the cases of the Yucatecan population showed significantly >2 CNV and a higher risk of developing the disease (OR: 34.364), concerning 4% of those coming from Central Mexico (OR: 10.855). T allele and the A/T and T/T risk genotypes of rs179008 were more frequent in patients of Central Mexico than in those of Yucatán (50% vs. 30%, 93% vs. 30%, 4% vs. 1%), and association with susceptibility to develop SLE was observed (OR: 1.5 vs. 0.58, 9.54 vs. 0.66, 12 vs. 0.14). Data support the genetic differences between and within Mexican mestizo populations and the role of the TLR7 in the pathogenesis of SLE.
The perception and attitude towards cultural differences and the effects they have on hospitality and tourism industry

The decision of an organization to be active in the field of hospitality and tourism should include correct perceptions and attitudes that are related to the diversity of people both individually and through the examination of the social culture in which they live. The consequences of a positive social change include the ability to identify benefits for both the organization and its employees (Nwankpa, Ijomah, Gachagan, & Marshall, 2018). The understanding and respecting of cultural differences have significant effects in achieving the goals of an organization that is operating in the hospitality and tourism industry. As tourism is the main source of intercultural contacts, any cultural differences can effect on staff dealing with current and future challenges of tourism in the country (Miličević, Mihalič, & Sever, 2017). The purpose of this article is to present the design and methodology that has been used to examine this topic, and describe the findings and implications of the results in order to support the organizations and their staff employed in the hospitality and tourism industry, and therefore, regarding the perceptions and attitudes towards cultural differences and the effects they have on tourists as human beings. The article presents a real empirical study of research related to the local industry in the Republic of Cyprus
Strategies commercially-insured families use to manage the cost of asthma care: a qualitative interview study

Abstract Objective Families affected by asthma report difficulty adhering to care regimens because of high medication costs, coupled with increased cost sharing required by some insurance plans. To inform efforts to support adherence, we conducted a qualitative study to explore how families manage asthma care costs. Methods We conducted phone interviews with commercially-insured, US adults (n = 59) who had asthma and/or a child with asthma. Our purposive sample included participants with high- and low/no-deductible health plans. We analyzed data using thematic content analysis to identify strategies for managing asthma care costs and to assess strategies’ implications for adherence. Results Our analysis identified four overarching strategies for managing asthma care costs. First, participants used prevention strategies to avoid costly acute care by minimizing exposure to asthma triggers and adhering strictly to preventive medication regimens. Second, participants used shopping strategies to reduce costs, including by comparing medication prices across pharmacies, using medication coupons or free samples, and switching to lower-cost medications. Third, budgeting strategies involved putting aside funds, including in tax-exempt health savings accounts, or taking on debt to pay for care. Finally, some participants sought to reduce costs by forgoing recommended care, including by skipping medication doses or replacing prescribed medications with alternative therapies. Conclusion Commercially-insured families use a wide range of strategies to manage asthma care costs, with both positive and negative implications for adherence. Our typology of asthma cost management strategies can inform insurance redesign and other interventions to help families safely reduce costs and maximize adherence to recommended care.
Reply on RC2

The Introduction has been restructured, to provide more clarity about the state of the art and a better understanding of the main ideas of the article. A complete grammar review of the article has been done, resulting in a paper more friendly to the reader Figure 4 has been discarded, as it duplicated information from Table 1. An extra parameterization has been added, in order to compare its results with those of the Machine Learning parameterization. Several figures have been modified to reflect the inclusion of the additional parameterized model. The conclusions are now supported with the analysis of the comparisons of three models, instead of two.
Weak ties Discovery Based on Network Representation Learning and Structural Features

As the scale of social networks continues to expand, the information contained in the network is growing explosively. How to effectively extract valuable information from the network has attracted the attention of many researchers. Link prediction is based on the current and historical structure of the network to predict new links that may be formed in the future. It can mine hidden information from the network and promote the development of the network structure. Many articles are looking for influential nodes, while ignoring the influence of edges. This paper proposes a new edge quantification method, and the experimental results on many large networks such as email YouTube DBLP prove its effectiveness.
Nondestructive Prediction of Isoflavones and Oligosaccharides in Intact Soybean Seed Using Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopic Techniques

The demand for rapid and nondestructive methods to determine chemical components in food and agricultural products is proliferating due to being beneficial for screening food quality. This research investigates the feasibility of Fourier transform near-infrared (FT-NIR) and Fourier transform infrared spectroscopy (FT-IR) to predict total as well as an individual type of isoflavones and oligosaccharides using intact soybean samples. A partial least square regression method was performed to develop models based on the spectral data of 310 soybean samples, which were synchronized to the reference values evaluated using a conventional assay. Furthermore, the obtained models were tested using soybean varieties not initially involved in the model construction. As a result, the best prediction models of FT-NIR were allowed to predict total isoflavones and oligosaccharides using intact seeds with acceptable performance (R2p: 0.80 and 0.72), which were slightly better than the model obtained based on FT-IR data (R2p: 0.73 and 0.70). The results also demonstrate the possibility of using FT-NIR to predict individual types of evaluated components, denoted by acceptable performance values of prediction model (R2p) of over 0.70. In addition, the result of the testing model proved the model’s performance by obtaining a similar R2 and error to the calibration model.
The Impact of an Intensivist-Led Critical Care Transition Program

Objective: Evaluate the impact of a post-discharge critical care transition program (CTP) on intensive care unit (ICU) readmission, in-hospital mortality, and six-month survival. Methods: This was a prospective observational, single-center study, with a before-after design, in a critical care department in a tertiary hospital in Northern Portugal. Critically ill patients with ICU stay > 48 h or intermediate care stay >72 h or tracheostomized patients were included in the program. Historic controls included critically ill patients admitted in the six months prior to program implementation. The follow-up visit included a medical evaluation by an intensivist and a meeting with the attending physician. The primary outcome was critical care department readmission. Secondary outcomes were mortality at hospital discharge, 28-day, and six-month mortality. The readmission rate was compared between groups. Multivariate analysis and Kaplan-Meyer survival analysis were used to evaluate survival benefits. Results: Between September 2020 and March 2021, 132 patients were included in the CTP. The Control group included 196 patients. The intensivist’s assessment led to management change in 15.1% of patients. The CTP group had a non-significant lower readmission rate (0.8% vs. 4.1%; p=0.09). Multivariate analysis showed a benefit for the CTP regarding in-hospital, 28-day, and six-month mortality. Kaplan-Meyer survival analysis showed improved survival in the CTP group. Conclusions: The CTP reduced, non-significantly, the readmission rate, and significantly improved in-hospital and six-month mortality. Further analyses are needed to improve inclusion criteria and better allocate human resources.
Information System and Aerial Warfare: Enhancing Decision Making in Extreme Circunstances

This article investigates the potential offered by information system to improve the quality of decision making in extreme circumstances. The literature commonly mentions models of fit to explore technology-to-performance issues, reckoning users' evaluations as a relevant measurement technique for information system success. Drawing on such approaches, this article aims at providing some valuable insights to assess the benefits of a networked decision support system for decision makers, and offering a better understanding of how and why these improvements arise. An original case study considering usages of a networked decision support system called Link 16 during aerial missions has been conducted. It led to suggest an appropriate decisional model, the decisional fit model, which provides new perspectives to explore the effects of networked technologies on decision performance.
A Ferrofluid with Surface Modified Nanoparticles for Magnetic Hyperthermia and High ROS Production

A ferrofluid with 1,2-Benzenediol-coated iron oxide nanoparticles was synthesized and physicochemically analyzed. This colloidal system was prepared following the typical co-precipitation method, and superparamagnetic nanoparticles of 13.5 nm average diameter, 34 emu/g of magnetic saturation, and 285 K of blocking temperature were obtained. Additionally, the zeta potential showed a suitable colloidal stability for cancer therapy assays and the magneto-calorimetric trails determined a high power absorption density. In addition, the oxidative capability of the ferrofluid was corroborated by performing the Fenton reaction with methylene blue (MB) dissolved in water, where the ferrofluid was suitable for producing reactive oxygen species (ROS), and surprisingly a strong degradation of MB was also observed when it was combined with H2O2. The intracellular ROS production was qualitatively corroborated using the HT-29 human cell line, by detecting the fluorescent rise induced in 2,7-dichlorofluorescein diacetate. In other experiments, cell metabolic activity was measured, and no toxicity was observed, even with concentrations of up to 4 mg/mL of magnetic nanoparticles (MNPs). When the cells were treated with magnetic hyperthermia, 80% of cells were dead at 43 °C using 3 mg/mL of MNPs and applying a magnetic field of 530 kHz with 20 kA/m amplitude.