Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship continuity and person-centred care in how spouses make sense of challenging care needs

Abstract Objectives: Some spouses providing care for a partner with dementia experience continuity in the relationship: Despite the changes that have occurred, the person with dementia and the relationship are felt to be essentially the same as they were before the dementia. Others experience discontinuity: The person and the relationship feel very different. Previous qualitative research has suggested that continuity may be linked with the delivery of more person-centred care. Using a mixed-methods approach, the present study aimed to provide a more robust test of this claim. Method: Twenty-six spousal carers completed the Birmingham Relationship Continuity Measure and the Caregiver Hassles Scale, and took part in an interview about their response to challenging care needs. Attributions about the causes of those needs were extracted from the interviews and coded. Codes referred either to dementia as a cause, or to a range of other causes that reflected a more person-centred focus. A measure of person-centred care was obtained by calculating the percentage of the total number of attributions that fell into these more person-centred categories. Results: Consistent with the hypothesis that continuity and person-centred care are linked, those who reported greater continuity reported a significantly higher percentage of person-centred attributions. Conclusions: Person-centred care is important for the well-being of those giving and those receiving the care. Little is currently known about how to support families to be more person-centred. The possibility of supporting person-centred care through enhancing the experience of continuity merits investigation.
POS-tags features for Protein-Protein Interaction Extraction from Biomedical Articles

Protein-Protein Interaction (PPI) extraction from biomedical articles consists on extracting sentences were two or more proteins interact. Traditional articles tackle this problem creating more sophisticated classifiers. In contrast to them, we focus on discriminative features that can be exploited by traditional classifiers. Our method exploits information from POS-tags features and are combined with a bag-of-words approach. We used five standard corpora of PPI: Aimed, Bioinfer, HPRD50, IEPA and LLL. Our method is simple and achieves high results compared with other approaches. We achieve an improvement of 11% with our best competitor.
Antioxidant Activity Mediates Pirfenidone Antifibrotic Effects in Human Pulmonary Vascular Smooth Muscle Cells Exposed to Sera of Idiopathic Pulmonary Fibrosis Patients

Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease characterized by an exacerbated fibrotic response. Although molecular and cellular determinants involved in the onset and progression of this devastating disease are largely unknown, an aberrant remodeling of the pulmonary vasculature appears to have implications in IPF pathogenesis. Here, we demonstrated for the first time that an increase of reactive oxygen species (ROS) generation induced by sera from IPF patients drives both collagen type I deposition and proliferation of primary human pulmonary artery smooth muscle cells (HPASMCs). IPF sera-induced cellular effects were significantly blunted in cells exposed to the NADPH oxidase inhibitor diphenyleneiodonium (DPI) proving the causative role of ROS and suggesting their potential cellular source. Contrary to IPF naive patients, sera from Pirfenidone-treated IPF patients failed to significantly induce both ROS generation and collagen synthesis in HPASMCs, mechanistically implicating antioxidant properties as the basis for the in vivo effect of this drug.
Methodology for Attention Detection based on Heart Rate Variability

This work proposes a methodology to measure attention. The proposed methodology, based on Heart Rate Variability (HRV), is composed by the following phases: pre-processing, feature extraction and data analytics. During pre-processing stage, the electrocardiogram (ECG) signal is filtered to remove noise from the signal and HRV signal from ECG is computed. In the feature extraction phase are computed the 12 features for HRV signal description based on linear methods. This 12 linear features include both features from time domain and from frequency domain. Data analytics step is responsible to analyze both the spectral power in the high-frequency (HF) band of the HRV signal and low frequency (LF) band. The proposed methodology was tested in a game playing scenario. Such scenario consists of playing game in two distinct circumstances: playing a game with background classic facilitator music, then with annoying music. The analysis of HF and LF parameters revealed a decrease in determined moments of the experience, which is aligned with a study arguing that those parameters decrease in attentional tasks. In this work variations of those parameters were correlated with the players perception of their attention.
A Conceptual Replication Study on Bugs that Get Fixed in Open Source Software

Bugs dominate the corrective maintenance and evolutionary changes in large-scale software systems. The topic of bugs has been extensively investigated and reported in the literature. Unfortunately, the existential question of all "whether a reported bug will be fixed or not" has not received much attention. The paper presents an empirical study on four open source projects to examine the factors that influence the likelihood of a bug getting fixed or not. Overall, our study can be contextualized as a conceptual replication of a previous study on Microsoft systems from a commercial domain. The similarities and differences in terms of the design, execution, and results between the two studies are discussed. It was observed from these systems that the reputations of the reporter and assigned developer to fix it, and the number of comments on a bug have the most substantial impact on its probability to get fixed. Moreover, we formulated a predictive model from features available as soon as a bug is reported to estimate whether it will be fixed or not. Intra and inter (cross) project validations were performed. Precision and Recall metrics were used to assess the predictive model. Their values were recorded in the 60% to 70% range.
Rab6A GTPase contributes to phenotypic modulation in pulmonary artery smooth muscle cells under hypoxia

Previous studies have demonstrated that hypoxia can induce phenotypic modulation of pulmonary smooth muscle cells; however, the mechanisms remain unclear. The present study aimed to investigate the effect of the GTPase Rab6A‐mediated phenotypic modulation and other activities of rat pulmonary artery smooth muscle cells (RPASMCs). We revealed that Rab6A was induced by hypoxia (1% O2) and was involved in a hypoxia‐induced phenotypic switch and endoplasmic reticulum stress (ERS) in RPASMCs. After 48 hours of hypoxia, the expression of the phenotype marker protein smooth muscle actin was downregulated and vimentin (VIM) expression was upregulated. Rab6A was upregulated after 48 hours of hypoxia, and the level of glucose‐regulated protein, 78 kDa (GRP78) after 12 hours of hypoxic stimulation was also increased. After transfection with a Rab6A short interfering RNA under hypoxic conditions, the expression levels of GRP78 and VIM in RPASMCs were downregulated. Overall, hypoxia‐induced RPASMCs to undergo ERS followed by phenotypic transformation. Rab6A is involved in this hypoxia‐induced phenotypic modulation and ERS in RPASMCs.
Location-Sensitive Personalized Query Auto-Completion

Query auto-completion (QAC) suggests possible queries to users from the moment they start entering a query. This popular feature of modern search engines is thought to reduce physical and cognitive effort when typing a query. Meanwhile, geography is becoming increasingly important in Web search. Search engines can often return better results to users by analyzing features such as user location or geographic terms in Web pages and user queries. Despite of this, user's geographic search intent with QAC is under-studied. This paper begins to address this gap. We propose a hybrid QAC model that considers: query's forecasted frequency, user's previous submitted queries and user's location preference. Our experimental results on a real-world search log show that our location-sensitive personalized QAC model significantly outperforms two competitive baselines.
Epileptic Seizure Prediction Based on Localization

Electroencephalography (EEG) gives complex information about the brain dynamics. Visual Inspection of EEG signal is difficult and requires skilled interpreters in identifying epileptic seizures. One third of the people having epilepsy are drug resistant and the latest anti-epileptic drugs cannot stop the seizures completely. Unexpected occurrence of seizure disturbs the quality of life and causes physical damage. The Prediction based on localization of Epileptic Zone using EMD and neural network has resulted excellent prediction accuracy. A seizure prediction time of 30.4 minutes was achieved. It can be used as a clinical application for the diagnosis and effective epilepsy management.
Effective Permittivity and Frequency of Resonance in Single-Split Microstrip Single-Ring Resonator for Biomedical Microwave Sensor

Here, we presents the current state in the progress of an on-going descriptive and analytical study of a stand-alone microstrip single-split single-ring resonator for biomedical microwave sensors. The resonator system includes a multi-layer structure parallel to the plane of the resonator, which contributes to the overall resonance of the system. The pursued study is inspired by the works of Hsieh & Chang and Gupta on the analytical model of open-loop SMRRs and on the conformal mapping transformation for multi-dielectric microstrip antenna, respectively. Here, we introduce two expressions for the effective permittivity based on conformal mapping transformations and effective medium approximations. In addition, expressions for the extrinsic parameters of the resonator: the frequencies of resonance and quality factors are introduced and a discussion on propagation modes is also given.
A Novel Multi-channel Statistical Predicted Strategy for Airborne Networks

In the contention-based MAC protocols of airborne networks, the busy degree of channels can be used as the threshold of different priority services. By limiting access of low priority traffic, we can guarantee the QoS demands of high priority services and solve the problem that the process of packets accessed channels blindly will worsen the protocol performance, so, a multi-channel statistical prediction strategy is proposed in this paper. According to the high reliability demand of the highest priority traffic and the ratio of different types of services, we establish the channel occupancy model and get the channel load interval of different services. Then we use the statistical prediction model to predict the busy degree of channels and channel loads for the next time. Simulation results show that the strategy has a prediction rate of over 95% for channel loads, can provide differential service for different priorities, and it also can significantly improve the performance of contention-based protocol under heavy loads.
Time Course Changes of the Mechanical Properties of the Iris Pigment Epithelium in a Rat Chronic Ocular Hypertension Model

Background The flow field of aqueous humor correlates to the stiffness of iris pigment epithelium (IPE) which acts as a wall of posterior chamber. We focus on the variations of IPE stiffness in a rat ocular hypertension (OHT) model, so as to prepare for exploring the mechanism of duration of OHT. Methods Episcleral venous cauterization (EVC) was applied on one eye of male adult Sprague-Dawley rats to induce chronic high intraocular pressure. According to the duration of OHT (0, 1, 2, 4, and 8 weeks), rats were randomly divided into Gw0, Gw1, Gw2, Gw4, and Gw8. Atomic force microscope (AFM) analysis was applied to test IPE stiffness in three regions: iris root, mid-periphery, and pupillary-margin in each group. Histological changes of IPE were also examined in Gw4 and Gw8. Results There was an overall growing tendency of IPE stiffness in EVC eye. IPE in EVC eye was significantly stiffer than fellow eye in Gw2, Gw4, and Gw8 (in iris root, mid-periphery, and pupillary-margin, p<0.05). IPE in EVC eye in pupillary-margin was significantly stiffer than iris root in Gw4 and Gw8 (p<0.05). In EVC eye, IPE becomes thinner and IPE cell density decreases. Conclusion IPE stiffness increases gradually with the duration of chronic high intraocular pressure.
[Engineering Paper] Built-in Clone Detection in Meta Languages

Developers often practice re-use by copying and pasting code. Copied and pasted code is also known as clones. Clones may be found in all programming languages. Automated clone detection may help to detect clones in order to support software maintenance and language design. Syntax-based clone detectors find similar syntax subtrees and, hence, are guaranteed to yield only syntactic clones. They are also known to have high precision and good recall. Developing a syntax-based clone detector for each language from scratch may be an expensive task. In this paper, we explore the idea to integrate syntax-based clone detection into workbenches for language engineering. Such workbenches allow developers to create their own domain-specific language or to create parsers for existing languages. With the integration of clone detection into these workbenches, a clone detector comes as a free byproduct of the grammar specification. The effort is spent only once for the workbench and not multiple times for every language built with the workbench. We report our lessons learned in applying this idea for three language workbenches: the popular parser generator ANTLR and two language workbenches for domain-specific languages, namely, MPS, developed by JetBrains, and Xtext, which is based on the Eclipse Modeling Framework.
Cardiac biomarkers predict mortality in emergency patients presenting with atrial fibrillation

Objectives To assess the predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitive troponin T (hs-TnT) serum levels for mid-term mortality in patients presenting with symptomatic atrial fibrillation (AF) to an emergency department. Methods Non-interventional cohort/follow-up study, including consecutive patients presenting to a tertiary care university emergency department due to symptomatic AF between 2012 and 2016. Multivariable Cox proportional hazard regression models were used to estimate the mortality rates and hazards per 100 patient-years (pry) for NT-proBNP and hs-TnT serum levels in quintiles. Results 2574 episodes of 1754 patients (age 68 (IQR 58–75) years, female gender 1199 (44%), CHA2DS2-VASc 3 (IQR 1–4)) were recorded. Following the exclusion of incomplete datasets, 1780 episodes were available for analysis. 162 patients deceased during the mid-term follow-up (median 23 (IQR 4–38) months); the mortality rate was 4.72/100 pry. Hazard for death increased with every quintile of NT-proBNP by 1.53 (HR; 95% CI 1.27 to 1.83; p<0.001) and by 1.31 (HR; 95% CI 1.10 to 1.55; p=0.002) with every quintile of hs-TnT in multivariate Cox-regression analysis. No interaction between NT-proBNP and hs-TnT levels could be observed. Conclusion Elevated NT-proBNP and hs-TnT levels are independently associated with increased mid-term mortality in patients presenting to an emergency department due to symptomatic AF. Trial registration number NCT03272620; Results.
Translating Natural Language Sentences into Database Query

The aim of this work is to transcribe natural language statements into logical forms, specifically SQL statements. The purpose of such conversion is to efficiently interact with the database. In this work, for sequence translation, an RNN auto-encoder is used which has been the foundation for several online translation between human languages. Decoder used is hierarchical RNN's, which has the ability to extract additional structure information from the special encodings in the training data inputs. This provides the decoder more information about the structure of the output that it can then correlate back to the inputs and generalize statements with the same logical form but with different specifics, such as locations, points of interest, time spans, or people. Evaluation is done on Geo-Query dataset and experimental results achieved good results.
Joint Resource and Power Allocation Technique for Downlink Power-Domain Non-Orthogonal Multiple Access

In this paper, a novel resource and power allocation technique is proposed for a power-domain non-orthogonal multiple access scheme using successive interference cancellation in a downlink cellular system. It aims at providing a flexi- ble balancing between throughput and fairness maximization and incorporates unequal power repartition among allocated subbands using waterfilling. Its main strength is the ability to achieve a high level of fairness in every scheduling slot, therefore improving the quality of experience for all users. Simulation results show that the proposed metric enhances fairness and improves system capacity, when compared to the conventional proportional fairness scheduler.
Human Inspired Effort Distribution During Collision Avoidance in Human-Robot Motion

Recent works in the area of human robot motion showed that behaving in a human-like manner allows a robot to reduce global cognitive effort for people in the environment. Given that collision avoidance situations between people are solved cooperatively, this work models the manner in which this cooperation is done so that a robot can replicate their behavior. To that end, hundreds of situations where two walkers have crossing trajectories were analyzed. Based on these human trajectories involving a collision avoidance task, we determined how total effort is shared between each walker depending on several factors of the interaction such as crossing angle, time to collision and speed. To validate our approach, a proof of concept is integrated into ROS with Reciprocal Velocity Objects (RVO) in order to distribute collision avoidance effort in a human-like way.
Effectiveness of Field-Based Resistance Training Protocols on Hip Muscle Strength Among Young Elite Football Players.

OBJECTIVE The objective of this study was to examine the effects of an 8-week progressive resistance training program on hip joint muscles' strength measures, using the Copenhagen adduction (CA) and the sliding hip (SH) exercises. DESIGN Prospective randomized controlled trial. SETTING Sport training and medical centers. PARTICIPANTS Forty-two young male football athletes (age 17.5 ± 1.1 years; height 178.3 ± 3.2 cm; body mass 66.1 ± 8.6 kg) allocated to a CA, SH, and matched control (C) group. INTERVENTIONS Two weekly sessions of CA and SH. MAIN OUTCOMES MEASURES Maximal eccentric strength test for the hip adductor (EHAD) and maximal eccentric strength test for the hip abductor (EHAB) muscles, and the relative EHAD/EHAB ratio assessed through a break test in the side-lying position. RESULTS No significant differences between groups were found at baseline for any of the assessed variables (all P > 0.053). The CA group had a significant strength increase in the right and left leg (d = 2.11, d = 1.9, respectively). The SH group also had a significant strength increase in the right and left leg (d = 1.68 and d = 1.67, respectively). The CA group presented EHAD/EHAB improvements in the right and left leg (d = 0.84 and d = 1.14, respectively). The SH group also presented EHAD/EHAB improvements in the right and left leg (d = 1.34 and d = 1.44, respectively). CONCLUSIONS Both exercises' protocols were effective in inducing significant increases on EHAD, EHAB, and EHAD/EHAB ratio when compared with the control group. Practitioners should be aware of the training effectiveness of both protocols.
An Enhanced Approach of an Intelligent Model of Home Support for People with Loss of Autonomy

Within the smart home concept, efforts have been made in order to provide comfort, security and conviviality functionalities in home’s managing. Home support for people with loss of autonomy (PLA) living alone is among the most important research studies aiming to improve the living conditions and well-being of the residents. Our research project consists of designing and developing a new model of an integrative system of home assistance for PLA based on smart home technologies.
Botnet and P2P Botnet Detection Strategies: A Review

Among various network attacks, botnet led attacks are considered as the most serious threats. A botnet, i.e., the network of compromised computers is able to perform large scale illegal activities such as Distributed Denial of Service attacks, click fraud, bitcoin mining etc. These attacks are considered as the major concern now-a-days. In this paper, we present a comprehensive review of botnets, their lifecycle and types. We also discuss the peer-to-peer botnet detection techniques' behaviors using various latest detection techniques.
The Evaluation of Education ERP System Implementation in University Using CSF and TAM

The objective of the research is to evaluate the implementation of the Education ERP system in the university and identify the factors that influence the success in its implementation. The analytical method used is the Structural Equation Model (SEM) with a software tool SMARTPLS 3. The results of this research can identify the critical success factors (CSFs) in the implementation of the education ERP system in university and its relationship with the Technology Acceptance Model (TAM) and user satisfaction variables. The object of this research is the education ERP system called BINUS Campus Solution (BCS) that is implemented at BINUS University. The conclusions that are obtained are CSFs from the implementation of the education ERP system in the university are training, technology selection & adaptation, vendor relationship, and strategy fit. The ease of use has significant effect on benefits and user satisfaction. The benefits and strategy fit have a significant effect on user satisfaction. The training and vendor relationship have a significant effect on ease of use. All CSFs when combined together significantly affect the ease of use, benefits, and user satisfaction.
Design and Realization of Controller for Static Switch in Microgrid Using Wavelet-Based TSK Reasoning

A microgrid may comprise several zones with local loads and distributed generation resources. If a fault occurs in a zone, then a static switch between the faulty and fault-free zones must be activated to detect/classify the faults and enable the breaker to open the circuit immediately. This paper presents a new method for designing a detection/classification module in a static switch using the Park Transform (PT), Multiresolution Analysis (MRA) and Takagi–Sugeno–Kang (TSK) fuzzy rules. Both wavelet coefficients/energies of the d-axis component, within 0.96–1.92 kHz, obtained by MRA and PT are employed to effectively detect and classify the fault types using the local fault signals near the static switch without a complicated communication system. The proposed TSK fuzzy rules, defined by the scenario data only, successfully classify the faults. The proposed method is verified by hardware-in-the-loop simulation using a real-time digital simulator and a realistic 5 kVA static switch. The proposed method is implemented in a Xilinx field-programmable gate array. Test results show that the proposed method is efficient in the real-time control environment of a microgrid.