Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating the Effectiveness of Self-Administration of Medication (SAM) Schemes in the Hospital Setting: A Systematic Review of the Literature

Background Self-administration of medicines is believed to increase patients' understanding about their medication and to promote their independence and autonomy in the hospital setting. The effect of inpatient self-administration of medication (SAM) schemes on patients, staff and institutions is currently unclear. Objective To systematically review the literature relating to the effect of SAM schemes on the following outcomes: patient knowledge, patient compliance/medication errors, success in self-administration, patient satisfaction, staff satisfaction, staff workload, and costs. Design Keyword and text word searches of online databases were performed between January and March 2013. Included articles described and evaluated inpatient SAM schemes. Case studies and anecdotal studies were excluded. Results 43 papers were included for final analysis. Due to the heterogeneity of results and unclear findings it was not possible to perform a quantitative synthesis of results. Participation in SAM schemes often led to increased knowledge about drugs and drug regimens, but not side effects. However, the effect of SAM schemes on patient compliance/medication errors was inconclusive. Patients and staff were highly satisfied with their involvement in SAM schemes. Conclusions SAM schemes appear to provide some benefits (e.g. increased patient knowledge), but their effect on other outcomes (e.g. compliance) is unclear. Few studies of high methodological quality using validated outcome measures exist. Inconsistencies in both measuring and reporting outcomes across studies make it challenging to compare results and draw substantive conclusions about the effectiveness of SAM schemes.
Catheter ablation for atrial fibrillation is associated with lower incidence of stroke and death: data from Swedish health registries.

AIM It is unclear if catheter ablation for atrial fibrillation (AF) affects the prognosis or merely is a symptomatic treatment. The aim is to study the association between ablation for AF, ischaemic stroke, and mortality. METHODS AND RESULTS We identified all 361 913 patients with a diagnosis of AF in the Swedish Patient Register. During a 7-year period, 5176 AF ablations were performed among 4278 individuals. Patients who had undergone catheter ablation were younger (58.7 vs. 74.7 years, P < 0.001) and healthier (mean CHA2DS2-VASc scores 1.5 ± 1.4 vs. 3.6 ± 1.9, P < 0.001) than other patients with AF. Propensity score matching was used to construct two cohorts of equal size (n = 2836) with similar characteristics in 51 dimensions. Mean follow-up was 4.4 ± 2.0 years (minimum 1 year). In the ablated group, 78 patients suffered ischaemic stroke compared with 112 in the non-ablated (annual rates 0.70 vs. 1.0%, P = 0.013). A total of 88 ablated and 184 non-ablated patients died (annual rates 0.77 vs. 1.62%, P < 0.001). After multivariable adjustments, catheter ablation was associated with lower risk of ischaemic stroke [hazard ratio (HR) 0.69, 95% confidence interval (CI) 0.51-0.93) and with lower mortality risk (HR 0.50, 95% CI 0.37-0.62). Stroke reduction was most pronounced among patients with CHA2DS2-VASc score ≥2 (HR 0.39, 95% CI 0.19-0.78) and among patients without new cardioversions beyond 6 months after the ablation (HR 0.68, 95% CI 0.48-0.97). CONCLUSION Ablation may be associated with lower incidence of ischaemic stroke and death in patients with AF. This beneficial finding appears more pronounced in patients with higher thromboembolic risk.
Trajectories of Blood Pressure Elevation Preceding Hypertension Onset: An Analysis of the Framingham Heart Study Original Cohort

Importance Given that hypertension remains a leading risk factor for chronic disease globally, there are substantial ongoing efforts to define the optimal range of blood pressure (BP). Objective To identify a common threshold level above which BP rise tends to accelerate in progression toward hypertension. Design, Setting, and Participants This longitudinal, community-based epidemiological cohort study of adults enrolled in Framingham, Massachusetts, included 1252 participants (mean [SD] age, 35.3 [2.7] years) from the Framingham Original Cohort, of whom 790 (63.1%) were women. Each participant contributed up to 28 serial examinations of standardized resting BP measurements between 1948 and 2005. Exposures Age and systolic BP. Main Outcomes and Measures Via a segmented mixed model, we identified significant change points in the association between advancing age and increasing systolic BP among individuals categorized by their age at hypertension onset. Results Individuals maintained a relatively stable resting systolic BP level prior to hypertension onset. Systolic BP level began to rise at a more rapid rate after reaching a level of 123.2 mm Hg (95% CI, 122.7-130.1 mm Hg) in people with onset at 40 to 49 years; 122.0 mm Hg (95% CI, 120.3-123.9 mm Hg) in those with onset between 50 and 59 years, 124.9 mm Hg (95% CI, 120.2-127.9 mm Hg) in those with onset between 60 and 69 years, and 120.5 mm Hg (95% CI, 118.0-123.2 mm Hg) in those with onset between 70 and 79 years (P = .29 for between-group heterogeneity). Conclusions and Relevance We observed that individuals in the community generally maintained a systolic BP of less than 120 to 125 mm Hg, above which systolic BP increased at a relatively rapid rate toward overt hypertension. This trend was consistent whether the hypertension manifested earlier or later in life. Thus, a resting systolic BP that chronically exceeds the range of approximately 120 to 125 mm Hg may represent an important threshold of underlying vascular remodeling and signal incipient hypertension irrespective of age. Further investigations are needed to unravel the sequence of hemodynamic and vascular changes occurring prior to hypertension onset.
How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values?

In the biometric verification, authentication is given when a distance of biometric signatures between enrollment and test phases is less than an acceptance threshold, and the performance is usually evaluated by a so-called Receiver Operating Characteristics (ROC) curve expressing a trade off between False Rejection Rate (FRR) and False Acceptance Rate (FAR). On the other hand, it is also well known that the performance is significantly affected by the situation differences between enrollment and test phases. This paper describes a method to adaptively control an acceptance threshold with quality measures derived from situation differences so as to optimize the ROC curve. We show that the optimal evolution of the adaptive threshold in the domain of the distance and quality measure is equivalent to a constant evolution in the domain of the error gradient defined as a ratio of a total error rate to a total acceptance rate. An experiment with simulation data demonstrates that the proposed method outperforms the previous methods, particularly under a lower FAR or FRR tolerance condition.
Group Context-aware Person Identification in Video Sequences

The importance of person identification techniques is increasing for visual surveillance applications. In social living scenarios, people often act in groups composed of friends, family, and co-workers, and this is a useful cue for person identification. This paper describes a method for person identification in video sequences based on this group cue. In the proposed approach, the relationships between the people in an input sequence are modeled using a graphical model. The identity of each person is then propagated to their neighbors in the form of message passing in a graph via belief propagation, depending on each person's group affiliation information and their characteristics, such as spatial distance and velocity vector difference, so that the members of the same group with similar character- istics enhance each other's identities as group members. The proposed method is evaluated through gait-based person identification experiments using both simulated and real input sequences. Experimental results show that the identi- fication performance is considerably improved when compared with that of the straightforward method based on the gait feature alone.
Circadian rhythms and cancer

The circadian clock is an endogenous time keeping system shared by most organisms. In mammals, a master pacemaker in the hypothalamus orchestrates temporal alignment of behavior and physiology by transmitting daily signals to multiple clocks in peripheral tissues. Disruption of this communication has a profound affect on human health and has been linked to diverse pathogenic conditions, including cancer. At the center of the molecular circadian machinery is a set of clock genes, generating rhythmic oscillations on a cellular level. In the past several years, research from different fields has revealed the complexity and ubiquitous nature of circadian regulation, uncovering intriguing associations between clock components and cellular pathways implicated in tumorigenesis. In this review, we discuss the emerging role of circadian genes in hematological and hormone-related malignances. These new insights suggest that manipulating circadian biology as a way to fight cancer, as well as, other life threatening diseases is within the realm of possibility.
Optimization of the global re-entry vulnerability index to minimise cycle length dependency and prediction of ventricular arrhythmias during human epicardial sock mapping

The re-entry vulnerability index (RVI) is an activation-repolarization marker recently proposed to predict sites of ventricular tachycardia (VT) initiation. RVI is inversely related to the probability of establishing a re-entry. The aim of this study was to characterize the CL dependency of RVI, assess different methods for CL-dependency corrections and test the capability of RVI to predict ventricular arrhythmias. Twenty-four subjects underwent whole heart epicardial mapping using a multi-electrode sock enabling the recording of 240 unipolar electrograms. Ventricular pacing was delivered at CLs decreasing from 600 to 350 ms in steps of 50 ms. In a separate study, 1 patient went into VT during steady state pacing. Predisposition to VTwas assessed by using the 10th percentile RVI, termed global RVI. The results show that own to CL dependency of local repolarization, there was a strong positive association between RVI and CL. Local repolarization detrending and correction with the Bazett's formula eliminated the CL dependency, while a weak association was found after correction with the Fredericia's formula. In the patient who developed VT, global RVI was significantly lower than in the patients who did not develop VT. Corrections for CL dependency enhanced these differences. In conclusion, de-trending and Bazett's corrections effectively compensated for the CL dependency of RVI and global RVI may reveal predisposition to ventricular arrhythmias. Further analysis is necessary to establish the role of RVI for risk stratification.
A Linguistic Resource for Semantic Parsing of Motion Events

This paper presents a corpus of annotated motion events and their event structure. We consider motion events triggered by a set of motion evoking words and contemplate both literal and figurative interpretations of them. Figurative motion events are extracted into the same event structure but are marked as figurative in the corpus. To represent the event structure of motion, we use the FrameNet annotation standard, which encodes motion in over 70 frames. In order to acquire a diverse set of texts that are different from FrameNet's, we crawled blog and news feeds for five different domains: sports, newswire, finance, military, and gossip. We then annotated these documents with an automatic FrameNet parser. Its output was manually corrected to account for missing and incorrect frames as well as missing and incorrect frame elements. The corpus, UTD-MotionEvent, may act as a resource for semantic parsing, detection of figurative language, spatial reasoning, and other tasks.
mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations

Algorithms for data visualizations are essential tools for transforming data into useful narratives. Unfortunately, very few visualization algorithms can handle the large datasets of many real-world scenarios. In this study, we address the visualization of these datasets as a Multi-Objective Optimization Problem. We propose mQAPViz, a divide-and-conquer multi-objective optimization algorithm to compute large-scale data visualizations. Our method employs the Multi-Objective Quadratic Assignment Problem (mQAP) as the mathematical foundation to solve the visualization task at hand. The algorithm applies advanced sampling techniques originating from the field of machine learning and efficient data structures to scale to millions of data objects. The algorithm allocates objects onto a 2D grid layout. Experimental results on real-world and large datasets demonstrate that mQAPViz is a competitive alternative to existing techniques.
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network

In this paper, deep neural network (DNN) is utilized to improve the belief propagation (BP) detection for massive multiple-input multiple-output (MIMO) systems. A neural network architecture suitable for detection task is firstly introduced by unfolding BP algorithms. DNN MIMO detectors are then proposed based on two modified BP detectors, damped BP and max-sum BP. The correction factors in these algorithms are optimized through deep learning techniques, aiming at improved detection performance. Numerical results are presented to demonstrate the performance of the DNN detectors in comparison with various BP modifications. The neural network is trained once and can be used for multiple online detections. The results show that, compared to other state-of-the-art detectors, the DNN detectors can achieve lower bit error rate (BER) with improved robustness against various antenna configurations and channel conditions at the same level of complexity.
Evaluation of a Coping Effectiveness Training intervention in patients with chronic heart failure – a randomized controlled trial

Background: Impaired emotional well-being has detrimental effects on health outcomes in patients with chronic heart failure (CHF). Aims: To evaluate a nurse-led Coping Effectiveness Training (CET) group intervention for patients with CHF. It was hypothesized that CET would increase emotional well-being (primary outcome) and health-related quality (HRQoL) of life and improve clinical outcomes. Furthermore, changes in appraisal and coping as mediators of the intervention effect were examined. Methods: Participants were randomized to either control group (n=51) receiving standard health care or CET intervention group (n=52). Self-assessments of positive affect, negative affect, depression, anxiety, HRQoL, illness perception, coping strategies and social support were performed pre- and post-intervention and after six weeks, six months and 12 months. Time to death and hospitalizations were measured during the entire follow-up (median 35 months, interquartile range 11 months). Results: No significant improvements for emotional well-being and HRQoL in the intervention group compared with the control group were found. After excluding patients with clinical anxiety and depression at baseline the intervention group had significantly lower negative affect (p = 0.022). There were no significant differences regarding cardiovascular events between the groups. The intervention group had greater sense of control over their illness in the short-term (p = 0.036). Conclusion: CET intervention was found to increase sense of control over the illness in the short term. Psychosocial support programmes, like CET, for patients with CHF is currently lacking evidence for implementing in clinical practice. However, the results provide a basis for future studies with a modified CET intervention design and increased study size.
Developing Abuse Cases Based on Threat Modeling and Attack Patterns

Developing abuse cases help software engineers to think from the perspective of attackers, and therefore allow them to decide and document how the software should react to illegitimate use. This paper describes a method for developing abuse cases based on threat modeling and attack patterns. First potential threats are analyzed by following Microsoft's threat modeling process. Based on the identified threats, initial abuse cases are generated. Attack pattern library is searched and attack patterns relevant to the abuse cases are retrieved. The information retrieved from the attack patterns are used to extend the initial abuse cases and suggest mitigation method. Such a method has the potential to assist software engineers without high expertise in computer security to develop meaningful and useful abuse cases, and therefore reduce the security vulnerabilities in the software systems they develop.
Distribution of leptin‐sensitive cells in the postnatal and adult mouse brain

Leptin plays a pivotal role in the regulation of energy homeostasis and neuroendocrine functions, and increasing evidence indicates that leptin acts on the brain to mediate many of these effects. Recent data have also suggested that leptin influences brain development during early postnatal life. Here we examined the distribution of cells that express mRNA encoding the long form of the leptin receptor (LepRb) in postnatal and adult mouse brains by using in situ hybridization. In both adults and neonates, LepRb mRNA was largely restricted to regions known to control energy balance. Labeled cells were found in the arcuate, ventromedial, and dorsomedial nuclei of the hypothalamus as well as in the lateral hypothalamic area. Heavily labeled cells were also found in the median preoptic and ventral premammillary nuclei, two hypothalamic nuclei that are known to control reproduction. Moreover, during postnatal and adult life, clearly labeled cells were found in extrahypothalamic autonomic control sites such as the nucleus of the tractus solitarius. Importantly, this receptor can induce intracellular signaling because peripheral injection of leptin caused STAT3 phosphorylation in most sites in which LepRb mRNA was expressed. LepRb mRNA was also transiently elevated in certain regions of the postnatal mouse brain, such as the cortex, hippocampus, and laterodorsal nucleus of the thalamus. Taken together, these observations are consistent with the proposed roles of leptin in feeding and neuroendocrine regulation. They also identify regions where LepRb mRNA is expressed during early postnatal life and suggest new roles for leptin in the nervous system during development. J. Comp. Neurol. 518:459–476, 2010. © 2009 Wiley‐Liss, Inc.
Optimization of the Patient Undergoing Total Knee Arthroplasty The Rapid Recovery Program

There is traditionally an unnecessary ‘‘medicalization’’ of the orthopedic patient undergoing total knee arthroplasty. Such procedures are commonly performed under general anesthetic with difficulties in managing postoperative analgesia requirements resulting in slow mobilization and recovery. In-patient stays of 2 weeks are commonplace and care is often disjointed with limited interaction between the different groups of health care providers. Changing demographics and an ever-increasing demand for joint replacement dictate that the processes be streamlined to maximize efficiency. Rapid Recovery is an evidence-based means of providing the best possible patient care, while at the same time optimizing the use of resources. It promotes patient centered care with a focus on patient education and prehabilitation. The preoperative, intraoperative, and postoperative stages of Rapid Recovery are described. The significant reduction in the length of in-patient stay, the considerable cost savings, and the low complication rates are discussed as well as the favorable patient satisfaction scores. Rapid Recovery should now be thought of as the gold standard for the treatment of all patients undergoing hip and knee replacement.
Peat erosion in west Shetland voes : a substantial store of blue carbon in the coastal ocean or a stressor for benthic communities ?

Scottish sea lochs (voes or fjords) are a more effective carbon store than peatlands and soil, as they sequestrate large quantities of organic carbon (OC) in their sediments reducing the remineralisation of OC into the atmosphere and thus buffering the release of CO2 (Smeaton et al., 2016). However, organic matter enrichment in marine sediments can be a stressor for the benthic communities (Alve et al., 2016). To understand the feedback mechanisms between OC store in sea lochs sediments and its potential impact on the benthic communities, we sampled twenty-one sites in six west Shetland voes in August 2015 following an OC gradient. The aims of this study are: 1) to fingerprint the source (land vs. marine) and type (refractory vs. labile) of organic matter in west Shetland voes, 2) to use benthic foraminifera as bioindicators of high OC content in marine sediments and 3) assess the environment ecological quality status. Preliminary carbon stable isotope results show three distinct sources of organic matter: land, marine and fjord; while loss on ignition measurements point to a more prominent enrichment of organic matter in land-locked sites than in more marine settings. Refractory organic matter (of low nutritional value for benthic organisms) is more abundant than labile compounds, and the composition of benthic foraminiferal assemblages does reflect this difference in organic matter types. We calculated a well-known marine biotic index (AMBI) based on benthic foraminifera sensitivity to organic matter enrichment, and found a generally good ecological quality status in west Shetland voes. This shows the great potential of benthic foraminifera as proxies to map OC spatial distribution and sources, with the possibility in the future of tracking OC variability over time. This will enable reconstructions of benthic ecosystems baseline conditions prior to climate change, which will allow to indirectly estimating the impact of global warming on peat erosion and the store of blue carbon in the coastal ocean. Future works should also consider fish farms as an additional source of organic matter eventually reaching the seafloor, as marine aquaculture is experiencing a large expansion in Scotland. Organic matter derived from fish farms is likely to be richer in labile compounds, which are of more nutritional values for benthic organisms, and could pose a bigger stress on the marine environment than refractory organic matter derived from peat erosion.
Increasing N deposition impacts neither diversity nor functions of deadwood‐inhabiting fungal communities, but adaptation and functional redundancy ensure ecosystem function

Nitrogen deposition can strongly affect biodiversity, but its specific effects on terrestrial microbial communities and their roles for ecosystem functions and processes are still unclear. Here, we investigated the impacts of N deposition on wood-inhabiting fungi (WIF) and their related ecological functions and processes in a highly N-limited deadwood habitat. Based on high-throughput sequencing, enzymatic activity assay and measurements of wood decomposition rates, we show that N addition has no significant effect on the overall WIF community composition or on related ecosystem functions and processes in this habitat. Nevertheless, we detected several switches in presence/absence (gain/loss) of wood-inhabiting fungal OTUs due to the effect of N addition. The responses of WIF differed from previous studies carried out with fungi living in soil and leaf-litter, which represent less N-limited fungal habitats. Our results suggest that adaptation at different levels of organization and functional redundancy may explain this buffered response and the resistant microbial-mediated ecosystem function and processes against N deposition in highly N-limited habitats.