Miracle-dz/UniFAR-FTUs huggingface dataset:
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation

We introduce ReConvNet, a recurrent convolutional architecture for semi-supervised video object segmentation that is able to fast adapt its features to focus on any specific object of interest at inference time. Generalization to new objects never observed during training is known to be a hard task for supervised approaches that would need to be retrained. To tackle this problem, we propose a more efficient solution that learns spatio-temporal features self-adapting to the object of interest via conditional affine transformations. This approach is simple, can be trained end-to-end and does not necessarily require extra training steps at inference time. Our method shows competitive results on DAVIS2016 with respect to state-of-the art approaches that use online fine-tuning, and outperforms them on DAVIS2017. ReConvNet shows also promising results on the DAVIS-Challenge 2018 winning the $10$-th position.
The SILKIE (Skin graftIng Low friKtIon Environment) study: a non-randomised proof-of-concept and feasibility study on the impact of low-friction nursing environment on skin grafting success rates in adult and paediatric burns

Objectives To evaluate the impact of low-friction (LF) bedding on graft loss in an acute burn care setting, and to examine the feasibility and costs of using LF bedding compared with standard care. Design Proof of concept before and after study with feasibility of delivering the intervention. Setting Three burns services within two UK hospital trusts. Participants Inclusion criteria were patients older than 4 weeks, who received a skin graft after burn injury and were admitted overnight. The comparator cohort were eligible patients admitted in a 12-month period before the intervention. Intervention Introduction of LF sheets and pillowcases during a 15-month period. Outcome measures For proof of concept, the LF and comparator cohorts were compared in terms of number of regrafting operations (primary), percentage graft loss, hospital length of stay (LoS) and LoS cost (secondary). Feasibility outcomes were practicality and safety of using LF bedding. Results 131 patients were eligible for the LF cohort and 90 patients for the comparator cohort. Although the primary outcome of the proportion needing regrafting was halved in the LF cohort, the confidence interval (CI) crossed 1 (OR (95% CI): 0.56 (0.16 to 1.88)). Partial graft loss (any loss) was significantly reduced in the LF cohort (OR (95% CI): 0.27 (0.14, 0.51)). Inpatient LoS was no different between the two cohorts (difference in median days (95% CI): 0 (−2 to 1)), and the estimated difference in LoS cost was £−1139 (−4829 to 2551). Practical issues were easily resolved, and no safety incidents occurred while patients were nursed on LF bedding. Conclusions LF bedding is safe to use in burned patients with skin grafts and we have shown proof of concept for the intervention. Further economic modelling is required to see if an appropriately powered randomised control trial would be worthwhile or if roll out across the National Health Service is justified. Trial registration number ISRCTN82599687.
Scaling Up: The Validation of Empirically Derived Scheduling Rules on NVIDIA GPUs*

—Embedded systems augmented with graphics processing units (GPUs) are seeing increased use in safety-critical real-time systems such as autonomous vehicles. The current black-box and proprietary nature of these GPUs has made it difﬁcult to determine their behavior in worst-case scenarios, threatening the safety of autonomous systems. In this work, we introduce a new automated validation framework to analyze GPU execution traces and determine if behavioral assumptions inferred from black-box experiments consistently match behavior of real-world devices. We ﬁnd that the behaviors observed in prior work are consistent on a small scale, but the rules do not stretch to signiﬁcantly older GPUs and struggle with complex GPU workloads.
Independent voluntary correction and savings in locomotor learning

ABSTRACT Humans can acquire new walking patterns in many different ways. For example, we can change our gait voluntarily in response to instruction or adapt by sensing our movement errors. Here, we investigated how acquisition of a new walking pattern through simultaneous voluntary correction and adaptive learning affected the resulting motor memory of the learned pattern. We studied adaptation to split-belt treadmill walking with and without visual feedback of stepping patterns. As expected, visual feedback enabled faster acquisition of the new walking pattern. However, upon later re-exposure to the same split-belt perturbation, participants exhibited similar motor memories whether they had learned with or without visual feedback. Participants who received feedback did not re-engage the mechanism used to accelerate initial acquisition of the new walking pattern to similarly accelerate subsequent relearning. These findings reveal that voluntary correction neither benefits nor interferes with the ability to save a new walking pattern over time. Summary: Fast, voluntary changes to human walking patterns do not affect the motor memory formed through simultaneous adaptive learning.
What About Applied Fairness?

Machine learning practitioners are often ambivalent about the ethical aspects of their products. We believe anything that gets us from that current state to one in which our systems are achieving some degree of fairness is an improvement that should be welcomed. This is true even when that progress does not get us 100% of the way to the goal of "complete" fairness or perfectly align with our personal belief on which measure of fairness is used. Some measure of fairness being built would still put us in a better position than the status quo. Impediments to getting fairness and ethical concerns applied in real applications, whether they are abstruse philosophical debates or technical overhead such as the introduction of ever more hyper-parameters, should be avoided. In this paper we further elaborate on our argument for this viewpoint and its importance.
Vision Aided 3D Laser Based Registration

This paper describes a vision and 3D laser based registration approach which utilizes visual features to identify correspondences. Visual features are obtained from the images of a standard color camera and the depth of these features is determined by interpolating between the scanning points of a 3D laser range scanner, taking into consideration the visual information in the neighbourhood of the respective visual feature. The 3D laser scanner is also used to determine a position covariance estimate of the visual feature. To exploit these covariance estimates, an ICP algorithm based on the Mahalanobis distance is applied. Initial experimental results are presented in a real world indoor laboratory environment
Molecular Characterization and Enterotoxin Genes Typing of Local Strains of Bacillus Cereus

Two virulent strains of Bacillus cereus coded as BC13 and BC37 isolated from corn snacks collected from Egyptian market were identified using biochemical and staining methods. Further confirmation was done by determining their cellular protein pattern compared to a standard culture of B. cereus NRRL 569. The cellular protein profile revealed 97.55 to 99% similarity between NRRL 569 reference strain and local strains (BC13, BC37). Random amplification polymerase DNA analysis of the two tested isolates compared to standard culture using eleven arbitrary primers showed similarities ranging from 75.5% to 77.09% between the tested isolates. Separation of extracellular proteins of both tested isolates using SDS-PAGE revealed the presence of protein bands with molecular weights between 34 and 54 kDa in both tested isolates, suspected as enterotoxins. To ensure the presence of suspected enterotoxins, two pairs of primers newly designed and reported during year 2008 (FHblC and RHblC) and (FCytK and R2Cytk) were used to detect the toxin genes in both tested isolates using multiplex PCR technique. The two primers were designed as ( CCT A T C AAT A CT CTC GCAA & TTTCCTTTGTTA T A CG C T GC ) a nd (CGACGTCACAAGTTG TAACA& CGTGTGTAAATACCCC AGTT). The multiplex PCR amplification allowed rapid detection and identification of the toxin genes (hblC and cytK) in both isolates.
Urinary Excretion of Sulfur Metabolites and Risk of Cardiovascular Events and All-Cause Mortality in the General Population.

Aims: Thiosulfate and sulfate are metabolites of hydrogen sulfide (H2S), a gaseous signaling molecule with cardiovascular (CV) protective properties. Urinary thiosulfate excretion and sulfate excretion are associated with favorable disease outcome in high-risk patient groups. We investigated the relationship between urinary excretion of sulfur metabolites, and risk of CV events and all-cause mortality in the general population. Results: Subjects (n = 6839) of the Prevention of Renal and Vascular End-stage Disease (PREVEND) study were followed prospectively. At baseline, 24-h urinary excretion of thiosulfate and sulfate was determined. Median urinary thiosulfate and sulfate excretion values were 1.27 (interquartile range [IQR] 0.89-2.37) μmol/24 h and 15.7 (IQR 12.0-20.3) mmol/24 h, respectively. Neither thiosulfate nor sulfate excretion showed an independent association with risk of CV events. Sulfate, but not thiosulfate, was inversely associated with risk of all-cause mortality, independent of potential confounders (hazard ratio 0.73 [95% confidence interval 0.63-0.84], p < 0.001). This association appeared most pronounced for normolipidemic subjects (pinteraction = 0.019). Innovation: The strong association between sulfate excretion and mortality in the general population emphasizes the (patho)physiological importance of sulfate or its precursor H2S. Conclusion: We hypothesize that urinary sulfate excretion, which is inversely associated with all-cause mortality in the general population, holds clinical relevance as a beneficial modulator in health and disease. Antioxid. Redox Signal. 30, 1999-2010.
Seasonal and Regional Distributions, Degree-Day Models, and Phoresy Rates of the Major Sap Beetle (Coleoptera: Nitidulidae) Vectors of the Oak Wilt Fungus, Bretziella fagacearum, in Wisconsin

Abstract Oak wilt is a lethal disease caused by the invasive fungus Bretziella fagacearum, which is transmitted belowground via root grafts and aboveground by sap beetles (Nitidulidae). Attempts to limit spread and impact of B. fagacearum emphasize limiting harvesting and pruning to periods of vector inactivity. However, there is limited information on sap beetle activity periods, responses to temperature, and phoresy frequencies of fungi. We sampled two major vectors in Wisconsin, Colopterus truncatus and Carpophilus sayi, for 2 yr to quantify their seasonal and geographic abundances. Trapping was performed in 12 oak stands, and beetles were assayed for B. fagacearum. C. truncatus was captured from March until November, peaking during April and May. C. sayi was captured from April until November, peaking in May and July. Relative abundances (N = 15,980) were 59.3% C. truncatus and 40.7% C. sayi. C. sayi was more abundant in southern Wisconsin, whereas C. truncatus was more evenly distributed. Both species were present at asymptomatic sites. All sites with oak wilt centers yielded beetles with viable fungal propagules, with the frequency of association ranging from 1 to 50%. Sites asymptomatic for oak wilt contained both beetle species, but no vector-borne viable pathogen. Degree-day models were constructed to improve the generality of these results and estimate cumulative emergences across a latitudinal range over the previous 10-yr means and extremes. Because activity by C. truncatus and C. sayi spans the seasonal activities of oak wilt vectors, these results can help guide oak management practices.
Rendering and Extracting Extremal Features in 3D Fields

Visualizing and extracting three‐dimensional features is important for many computational science applications, each with their own feature definitions and data types. While some are simple to state and implement (e.g. isosurfaces), others require more complicated mathematics (e.g. multiple derivatives, curvature, eigenvectors, etc.). Correctly implementing mathematical definitions is difficult, so experimenting with new features requires substantial investments. Furthermore, traditional interpolants rarely support the necessary derivatives, and approximations can reduce numerical stability. Our new approach directly translates mathematical notation into practical visualization and feature extraction, with minimal mental and implementation overhead. Using a mathematically expressive domain‐specific language, Diderot, we compute direct volume renderings and particle‐based feature samplings for a range of mathematical features. Non‐expert users can experiment with feature definitions without any exposure to meshes, interpolants, derivative computation, etc. We demonstrate high‐quality results on notoriously difficult features, such as ridges and vortex cores, using working code simple enough to be presented in its entirety.
Sexual Behaviors, Experiences of Sexual Violence, and Substance Use among Women Who inject Drugs: Accessing Health and Prevention Services in Puerto Rico.

OBJECTIVE People who inject drugs (PWID) face numerous gender-specific health risks, which increase their susceptibility to adverse outcomes, including violence. There is a need for research on female PWID to capture their unique experiences and understand behavioral and gender-based differences. This study aimed to understand which drug use and sexual behaviors are the most prevalent among female PWID accessing health services in Puerto Rico and to gather preliminary information on those individuals' experiences of sexual violence. METHODS Utilizing a transformative theoretical perspective, a mixed-methods study was conducted with a sample of 90 Puerto Rican women who reported recent (past 12 months) injection drug use (IDU) This manuscript focused on Phase 1, in which participants completed an interviewer-administered survey eliciting information about sexual behaviors, drug use, experiences of sexual violence, and access to healthcare services. Phase 2 involved an in-depth interview focused on sexual health and access to healthcare services. RESULTS Female PWID were found to engage in a variety of sexual behaviors throughout their lifespans and at their most recent sexual events. There were significant differences across age groups for participants, those being time of most recent sexual event (p = 0.007), partner's sex (p = 0.039), relationship with partner (p = 0.023), contraception method used (p = 0.057), and reports of partner orgasm (p = 0.055). Over half of all participants reported having experienced sexual violence in their lifetime. CONCLUSION This study extends the literature on PWID in Puerto Rico by underscoring the diversity of female PWID sexual experiences and needs while illustrating how those experiences are often mediated by drug use. The findings highlight the need for further research on female PWID in Puerto Rico to better develop programs that include sexual violence prevention as part of future interventions for this population.
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners

Deep Convolutional Neural Networks (CNN) has achieved significant success in computer vision field. However, the high computational cost of the deep complex models prevents the deployment on edge devices with limited memory and computational resource. In this paper, we proposed a novel filter pruning for convolutional neural networks compression, namely spectral clustering filter pruning with soft self-adaption manners (SCSP). We first apply spectral clustering on filters layer by layer to explore their intrinsic connections and only count on efficient groups. By self-adaption manners, the pruning operations can be done in few epochs to let the network gradually choose meaningful groups. According to this strategy, we not only achieve model compression while keeping considerable performance, but also find a novel angle to interpret the model compression process.
Impact of the CMS No-Pay Policy on Hospital-Acquired Fall Prevention Related Practice Patterns

Abstract Background and Objectives In October 2008, the Centers for Medicare & Medicaid Services (CMS) stopped reimbursing hospitals for costs related to patient falls. This study aimed to examine whether the CMS no-pay policy influenced four fall prevention practices: bed alarms, sitters, room changes, and physical restraints. Research Design and Methods Using electronic medical record data collected from four hospitals between 2005 and 2010, this secondary observational analysis examined the associations between the CMS no-pay policy and nursing interventions and medical orders related to fall prevention. Multivariable generalized linear mixed models with logit link function and accommodation for matching was used to assess the associations between the CMS no-pay policy and nursing interventions and medical orders. Results After the CMS policy change, nurses were more likely to perform one or more fall-related interventions (adjusted odds ratio (aOR): 1.667; 95% confidence interval (CI): 1.097–2.534). Of the four prevention practices, the use of bed alarms (aOR: 2.343; 95% CI: 1.409–3.897) increased significantly after the CMS policy change. Discussion and Implications The CMS no-pay policy increased utilization of fall prevention strategies despite little evidence that these measures prevent falls.
Hepatitis C virus infection and hospital-related outcomes: a systematic review protocol

Introduction People living with hepatitis C virus (HCV) infection are disproportionately over-represented in the healthcare system due to various individual and contextual circumstances, including comorbidities and socioeconomic marginalisation. With growing trends in morbidity and mortality related to HCV infection, HCV is becoming a significant health and financial burden on the healthcare system, particularly in acute hospital settings. It is noteworthy that with the advent of direct-acting antiviral therapy the increasing number of patients who are cured of HCV could potentially result in different patterns of hospital-related outcomes over time. Methods and analysis We will conduct a systematic review of published literature to retrieve quantitative research articles pertaining to hospital outcomes among patients living with HCV. Primary outcomes include hospitalisation rates, length of stay, leaving against medical advice, readmission and in-hospital mortality. In total, five databases will be searched (MEDLINE, EMBASE, CINAHL, PsycINFO and Web of Science). Titles, abstracts and full texts will be independently reviewed by two investigators in three separate stages. The methodological quality of included quantitative research studies will be assessed using a validated tool. Data from included articles will be extracted using a standardised form and synthesised in a narrative account. Ethics and dissemination Results of this systematic review could provide a better understanding on how to optimise health systems and services to improve patient outcomes and care. The results of this study may provide future research with a foundation to guide decision-making and for designing and implementing systems-level interventions to improve treatment and care delivery for people living with HCV. Ethical approval for this study was received by the University of British Columbia/Providence Health Care Research Ethics Board. Findings from this study will be disseminated through peer-reviewed publications, presentations, reports and community forums PROSPERO registration number CRD42017081082; Pre-results.
Methane emissions partially offset “blue carbon” burial in mangroves

Water and sediment methane emissions have the potential to offset “blue carbon” burial in mangrove coastal ecosystems. Organic matter burial in mangrove forests results in the removal and long-term storage of atmospheric CO2, so-called “blue carbon. ” However, some of this organic matter is metabolized and returned to the atmosphere as CH4. Because CH4 has a higher global warming potential than the CO2 fixed in the organic matter, it can offset the CO2 removed via carbon burial. We provide the first estimate of the global magnitude of this offset. Our results show that high CH4 evasion rates have the potential to partially offset blue carbon burial rates in mangrove sediments on average by 20% (sensitivity analysis offset range, 18 to 22%) using the 20-year global warming potential. Hence, mangrove sediment and water CH4 emissions should be accounted for in future blue carbon assessments.
The effect of cheats on siderophore diversity in Pseudomonas aeruginosa

Cooperation can be maintained if cooperative behaviours are preferentially directed towards other cooperative individuals. Tag‐based cooperation (greenbeards) – where cooperation benefits individuals with the same tag as the actor – is one way to achieve this. Tag‐based cooperation can be exploited by individuals who maintain the specific tag but do not cooperate, and selection to escape this exploitation can result in the evolution of tag diversity. We tested key predictions crucial for the evolution of cheat‐mediated tag diversity using the production of iron‐scavenging pyoverdine by the opportunistic pathogen, Pseduomonas aeruginosa as a model system. Using two strains that produce different pyoverdine types and their respective cheats, we show that cheats outcompete their homologous pyoverdine producer, but are outcompeted by the heterologous producer in well‐mixed environments. As a consequence, co‐inoculating two types of pyoverdine producer and one type of pyoverdine cheat resulted in the pyoverdine type whose cheat was not present having a large fitness advantage. Theory suggests that in such interactions, cheats can maintain tag diversity in spatially structured environments, but that tag‐based cooperation will be lost in well‐mixed populations, regardless of tag diversity. We saw that when all pyoverdine producers and cheats were co‐inoculated in well‐mixed environments, both types of pyoverdine producers were outcompeted, whereas spatial structure (agar plates and compost microcosms), rather than maintaining diversity, resulted in the domination of one pyoverdine producer. These results suggest cheats may play a more limited role in the evolution of pyoverdine diversity than predicted.
Appropriate application of information from biodiversity databases is critical when investigating species distributions and diversity: a comment on Dallas et al. ().

Using data from biodiversity informatics resources, Dallas et al. (Ecol. Lett., 20, 2017, 1526-1533) suggested limited relationships between climate and local abundance among several taxonomic groups. Investigation of a subset of these data suggests that their results may be misleading due to inappropriate application of the biodiversity data.
Blood Pressure Response to Interrupting Workplace Sitting Time With Non-Exercise Physical Activity

Objective: To evaluate the blood pressure (BP) effects of a yearlong e-health solution designed to interrupt prolonged occupational sitting time. Methods: BP data of 228 desk-based employees (45.1 ± 10.5 years) were analyzed at baseline, 3, 6, 9, and 12 months. Results: Systolic BP significantly reduced from baseline for the first 9 months (1.0 to 3.4 mmHg; P < 0.01) while diastolic and mean arterial pressure decreased for the full 12-months (4 to 5 mmHg for diastolic pressure and 3.6 to 4.2 mmHg for MAP; all P < 0.01). Participants used the e-health solution 5.5 ± 2.0 times/day in the first 3 months which reduced to 4.2 ± 2.5 times/day by the end of the study (P < 0.05). Conclusions: An e-health solution designed to increase non-exercise physical activity by interrupting sitting time in the workplace is feasible and produced long-term reductions in blood pressure.