Miracle-dz/UniFAR-FTUs huggingface dataset:
Bisoprolol transdermal patch improves orthostatic hypotension in patients with chronic heart failure and hypertension

ABSTRACT β blockers (BBs) play an important role in heart failure (HF) treatment. However, orthostatic hypotension (OH) is sometimes caused by BBs. The bisoprolol transdermal patch works more slowly and is long acting compared with the bisoprolol fumarate tablet. The risk of OH may be reduced by using the bisoprolol transdermal patch. We evaluated 57 consecutive patients who were taking the bisoprolol fumarate tablet for chronic HF with hypertension from November 2016 to September 2017. We switched the patients to the bisoprolol transdermal patch. Because 12 of 57 subjects could not continue using the bisoprolol transdermal patch, we analyzed the remaining 45 patients. We investigated BP, blood tests, and changes in BP from supine to standing positions before and after 6 months of switching from tablet to patch. OH was diagnosed by observing a systolic/diastolic BP drop of at least 20/10 mmHg or an absolute systolic BP (sBP) of <90 mmHg from the standing position. No significant changes were observed in the BP and BPs from supine to standing positions, whereas log brain natriuretic peptide was significantly reduced after switching from patch to tablet (2.102 to 2.070pg/dl, P = .039). OH, which occurred in originally 17 patients, showed improvement and eventually appeared in 4 patients. In these patients, changes in BP from supine to standing positions were also significantly improved (changes in sBP, −11 to −6mmHg, P = .016). This study demonstrated that switching from the bisoprolol fumarate tablet to transdermal patch reduced the morbidity of OH in HF patients.
Color Matching Images With Unknown Non-Linear Encodings

We present a color matching method that deals with different non-linear encodings. In particular, given two different views of the same scene taken by two cameras with unknown settings and internal parameters, and encoded with unknown non-linear curves, our method is able to correct the colors of one of the images making it look as if it was captured under the other camera’s settings. Our method is based on treating the in-camera color processing pipeline as a concatenation of a matrix multiplication on the linear image followed by a non-linearity. This allows us to model a color stabilization transformation among the two shots by estimating a single matrix -that will contain information from both of the original images- and an extra parameter that complies with the non-linearity. The method is fast and the results have no spurious colors. It outperforms the state-of-the-art both visually and according to several metrics, and can handle HDR encodings and very challenging real-life examples.
Impact of seed‐applied pesticides on rhizobial survival and legume nodulation

Compatibility of seed‐applied pesticides and rhizobial inoculants is an important consideration for farmers when sowing legumes. Some of the seed‐applied pesticides may influence rhizobial growth and nodulation, but there is currently little available information on the potential inhibitory effects. Therefore, common seed fungicidal and insecticidal treatments were assessed to determine adverse impacts on rhizobial inoculants both in vitro, on treated seed, and in the field.
Theoretical potential for endometrial cancer prevention through primary risk factor modification: Estimates from the EPIC cohort

Endometrial cancer (EC) incidence rates vary ~10‐fold worldwide, in part due to variation in EC risk factor profiles. Using an EC risk model previously developed in the European EPIC cohort, we evaluated the prevention potential of modified EC risk factor patterns and whether differences in EC incidence between a European population and low‐risk countries can be explained by differences in these patterns. Predicted EC incidence rates were estimated over 10 years of follow‐up for the cohort before and after modifying risk factor profiles. Risk factors considered were: body mass index (BMI, kg/m2), use of postmenopausal hormone therapy (HT) and oral contraceptives (OC) (potentially modifiable); and, parity, ages at first birth, menarche and menopause (environmentally conditioned, but not readily modifiable). Modeled alterations in BMI (to all ≤23 kg/m2) and HT use (to all non‐HT users) profiles resulted in a 30% reduction in predicted EC incidence rates; individually, longer duration of OC use (to all ≥10 years) resulted in a 42.5% reduction. Modeled changes in not readily modifiable exposures (i.e., those not contributing to prevention potential) resulted in ≤24.6% reduction in predicted EC incidence. Women in the lowest decile of a risk score based on the evaluated exposures had risk similar to a low risk countries; however, this was driven by relatively long use of OCs (median = 23 years). Our findings support avoidance of overweight BMI and of HT use as prevention strategies for EC in a European population; OC use must be considered in the context of benefits and risks.
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective

In order to leverage the unique advantages of redundant manipulators, avoiding the singularity during motion planning and control should be considered as a fundamental issue to handle. In this article, a distributed scheme is proposed to improve the manipulability of redundant manipulators in a group. To this end, the manipulability index is incorporated into the cooperative control of multiple manipulators in a distributed network, which is used to guide manipulators to adjust to the optimal spatial position. Moreover, from the perspective of game theory, this article formulates the problem into a Nash equilibrium. Then, a neural network with anti-noise ability is constructed to seek and approximate the optimal strategy profile of the Nash equilibrium problem with time-varying parameters. Theoretical analyses show that the neural network model has the superior global convergence and noise immunity. Finally, simulation results demonstrate that the neural network is effective in real-time cooperative motion generation of multiple redundant manipulators under perturbations in distributed networks.
HORMONAL REGULATION OF CARBOHYDRATE AND FAT METABOLISM IN WOMEN WITH DIFFERENT OBESITY TYPES IN THE FOOD DEPRIVATION TEST.

Context The dominant type of adipose tissue accumulation in the body is associated with the peculiarities of using key substrates in energy metabolism and their hormonal regulation. Hormonal and metabolic parameters were investigated in women with android and gynoid obesity before and after the short-term food deprivation test. Results At baseline, at gynoid obesity as compared to android obesity, the women's blood contained lower glucose and insulin levels and higher FFA levels. The reaction to food deprivation manifested by a decrease in glucose level and an increase in FFA level in the blood is less pronounced in women with gynoid obesity than in those with android obesity. At the same time, a similar (though varying in expression) decrease in insulin level and elevated levels of glucagon, growth hormone and thyroxine were revealed in women's blood in both groups. Blood cortisol level increased in women with gynoid obesity and remained unchanged in those with android obesity. Conclusions More pronounced activation of hormonal mechanisms for maintaining blood glucose levels at gynoid obesity as compared to android one suggests that glucose is the preferable substrate for energy metabolism at gynoid obesity in women.
A machine learning strategy that leverages large datasets to boost statistical power in small-scale experiments

Machine learning methods have proven invaluable for increasing the sensitivity of peptide detection in proteomics experiments. Most modern tools, such as Percolator and PeptideProphet, use semi-supervised algorithms to learn models directly from the datasets that they analyze. Although these methods are effective for many proteomics experiments, we suspected that they may be suboptimal for experiments of smaller scale. In this work, we found that the power and consistency of Percolator results was reduced as the size of the experiment was decreased. As an alternative, we propose a different operating mode for Percolator: learn a model with Per-colator from a large dataset and use the learned model to evaluate the small-scale experiment. We call this a “static modeling” approach, in contrast to Percolator’s usual “dynamic model” that is trained anew for each dataset. We applied this static modeling approach to two settings: small, gel-based experiments and single-cell proteomics. In both cases, static models increased the yield of detected peptides and eliminated the model-induced variability of the standard dynamic approach. These results suggest that static models are a powerful tool for bringing the full benefits of Percolator and other semi-supervised algorithms to small-scale experiments.
Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis

Abstract Aims Atrial fibrillation (AF) is a common arrhythmia associated with an increased stroke risk. The use of multivariable prediction models could result in more efficient primary AF screening by selecting at-risk individuals. We aimed to determine which model may be best suitable for increasing efficiency of future primary AF screening efforts. Methods and results We performed a systematic review on multivariable models derived, validated, and/or augmented for AF prediction in community cohorts using Pubmed, Embase, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) through 1 August 2019. We performed meta-analysis of model discrimination with the summary C-statistic as the primary expression of associations using a random effects model. In case of high heterogeneity, we calculated a 95% prediction interval. We used the CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) checklist for risk of bias assessment. We included 27 studies with a total of 2 978 659 unique participants among 20 cohorts with mean age ranging from 42 to 76 years. We identified 21 risk models used for incident AF risk in community cohorts. Three models showed significant summary discrimination despite high heterogeneity: CHARGE-AF (Cohorts for Heart and Aging Research in Genomic Epidemiology) [summary C-statistic 0.71; 95% confidence interval (95% CI) 0.66–0.76], FHS-AF (Framingham Heart Study risk score for AF) (summary C-statistic 0.70; 95% CI 0.64–0.76), and CHA2DS2-VASc (summary C-statistic 0.69; 95% CI 0.64–0.74). Of these, CHARGE-AF and FHS-AF had originally been derived for AF incidence prediction. Only CHARGE-AF, which comprises easily obtainable measurements and medical history elements, showed significant summary discrimination among cohorts that had applied a uniform (5-year) risk prediction window. Conclusion CHARGE-AF appeared most suitable for primary screening purposes in terms of performance and applicability in older community cohorts of predominantly European descent.
The ADRB3 rs4994 polymorphism increases risk of childhood and adolescent overweight/obesity for East Asia’s population: an evidence-based meta-analysis

ABSTRACT Whether the Adrenoceptor Beta 3 (ADRB3) gene rs4994 polymorphism could affect the individual risk of childhood and adolescent overweight/obesity remains controversial. This meta-analysis was performed to estimate the prevalence of this polymorphism in overweight/obesity, and test the potential association by summarizing existing evidence. Comprehensive literature search in PubMed, Web of Science, Cochrane Library, Wanfang, and CNKI databases was performed to identify eligible data sets. Finally, 16 studies involving 5,147 overweight/obese cases and 7,350 non-obese controls were included for further synthetic analyses. Odds ratio (OR) and its corresponding 95% confidence intervals (CIs) were statistically calculated. Totally, 69.9% of the included subjects came from East Asia. In the meta-analysis for overall population, statistically significant associations with increased risk of childhood and adolescent overweight/obesity were identified in allele model (OR 1.23, 95% CI 1.10–1.38), heterozygote model (OR 1.39, 95% CI 1.16–1.68), and dominant model (OR 1.31, 95% CI 1.12–1.54). Further stratified analysis according to geographical regions revealed that the statistical significance could only be detected in the East Asia subgroup in allele model, homozygote model, heterozygote model, and dominant model. In summary, our meta-analysis indicated that the ADRB3 rs4994 polymorphism could significantly increase the risk of childhood and adolescent overweight/obesity, especially for the East Asia’s population.
Dying Online: An Analysis of End-of-Life Narratives

Abstract Technology is changing many aspects of our daily lives including how we share our experiences. While there have been many advances in technology to sustain life, it has also led to changes in how we die. This study utilized publicly available online narratives (vlog postings) written by individuals diagnosed with a terminal illness to explore themes on what dying individuals wished to say about their experiences (n = 39). While the content of the messages varied, universally all postings provided advice for living a good life. The implications of these narratives are still unknown. Questions remain about the role online peer support plays in the dying process and the extent to which sharing one’s digital story can affect others online. The act of being introspective at the end of life and the desire for social connection is similar to other forms of social work intervention such as dignity therapy suggesting an opportunity for further exploration. Additionally, these end-of-life narratives could also serve as a tool for educating future social work professionals about the experiences of those diagnosed with a terminal illness.
Interpretation bias of high trait anxiety Chinese military servicemen in ambiguous military scenarios

Abstract Converging evidence reveals the negative interpretation bias in anxiety. Given that anxiety is a severe psychological problem among Chinese military personnel, the present study examined whether high trait anxiety military personnel showed negative interpretation bias in real-world situations and whether their interpretations were influenced by self-relevance. The sample included 24 high trait anxiety (H-TA) and 22 low trait anxiety (L-TA) Chinese military servicemen. Participants completed 20 open-ended ambiguous scenarios by deciding how much they believed in the positive and negative ending of each sentence. The 20 scenarios were designed according to real life in military and half of them were self-relevant and the others were non-self-relevant. A 2(group) ×2(self-relevance) ANOVA of positive and negative endings revealed that compared to L-TA, H-TA believed more in negative continuations and less in positive continuations. Moderate correlations were found between samples’ believes in positive and negative endings and their trait anxiety scores. Military personnel showed more positive interpretation biases in non-self-relevant scenarios than in self-relevant scenarios. These findings are the first to show interpretation bias in military situations, and interventional strategies to modify servicemen's interpretation bias could be designed according to military situations.
A prototype evanescent wave-coupled cavity ring-down spectrometer for probing real-time aggregation kinetics of gold and silver nanoparticles.

We report on the development of a simple, linear optical cavity-based system combining evanescent wave (EW) with high-sensitive cavity ring-down spectroscopy (CRDS) technique using a diode laser at 644 nm and a right-angled prism for evanescent field generation on prism surface. We characterized the set-up in detail and achieved an optimum ring-down time of 159.4 ns and a minimum absorption coefficient of αmin = 1.67 x 10-6 cm-1. We utilized this set-up to investigate the salt-induced aggregation kinetics of gold (Au) and silver (Ag) nanoparticles (NPs) at the prism interface with high-sensitivity. We evaluated the extinction rates on the surface due to Au and Ag NPs aggregation and examined the variations due to their respective concentrations. To demonstrate the applicability of the developed EW-CRDS prototype set-up to different molecular systems, we investigated the urease-bound aggregation kinetics of the Au and Ag NPs which has not been explored earlier by this linear cavity geometry. We finally illustrated the aggregation dynamics through surface imaging, thus demonstrating an alternative analytical approach to monitor interfacial phenomena using EW-CRDS technique.
Development of an online digital resource accessible for students with visual impairment or blindness: Challenges and strategies.

BACKGROUND People with visual impairment or blindness face a wide range of daily barriers, both at school and at work. OBJECTIVE This article describes the development process of an online resource, addressing Occupational Safety and Health (OSH), accessible for students with visual impairment or blindness. METHODS This study was framed in a Design-Based Research methodology involving the analysis, design, development and implementation of a digital resource. In the analysis stage, a first list of accessibility challenges was created allowing the design of strategies and specific technical solutions to approach them. RESULTS The development process has shown that online digital resources can be accessible for users with visual impairment or blindness and even the most visual contents and activities (based on images and videos) can be easily adjusted. CONCLUSIONS Online accessible resources should be based on the World Wide Web Consortium (W3C) guidelines, allowing the proper description of all contents by screen readers, using audio description, accessible features and providing keyboard navigation. Further research must be conducted to deepen knowledge on the role of educational digital resources for students with visual impairment or blindness, namely regarding OSH barriers that workers with visual impairment or blindness face at the workplace (as visual safety signs and pictogram labels).
ASYMMETRICAL CASCADED TWENTY SEVEN LEVEL INVERTER BASED STATCOM

This paper presents a twenty seven level Asymmetrical cascaded multilevel inverter based STATCOM. The STATCOM is characterized by series connection of low voltage converter, middle level voltage converter and high voltage converter. Asymmetrical switching configuration can be adopted with trinary dc sources. This configuration results in reduced number of switches for higher voltage levels. Artificial neural network controller is used for obtaining switching angles. The performance of twenty seven level inverter based STATCOM is analyzed by MATLAB simulation. The results confirm that harmonic performance is improved and unbalanced load compensation can be achieved effectively.
CrocodileDB: Efficient Database Execution through Intelligent Deferment

The end of Moore’s law will push database system designers to be more judicious with computation as the growth in data outpaces the availability of computational resources. Eagerness, or aggressively consuming resources to immediately and quickly complete the task at hand, is one source of wasted resources in modern data systems where the systems expend unnecessary resources waiting on queries, data, or both. Intelligently deferring a task to a later point in time can increase result reuse, reduce work that might later be invalidated, or avoid unnecessary work altogether. We pro-pose a research prototype system, CrocodileDB, which is a resource-eﬃcient database system that automatically optimizes deferment based on user-speciﬁcation and workload prediction. CrocodileDB integrates new ways of specifying timing information, new query execution policies, new task schedulers, and new data loading schemes.
How society publishers can accelerate their transition to open access and align with Plan S

Wellcome, UK Research and Innovation, and the Association of Learned and Professional Society Publishers commissioned Information Power Ltd. to undertake a project to support society publishers to accelerate their transition to open access (OA) in alignment with Plan S and the wider move to accelerate immediate OA. This project is part of a range of activities that cOAlition S partners are taking forward to support the implementation of Plan S principles. The objective of this project was to explore with learned societies a range of potential strategies and business models through which they could adapt and thrive under Plan S. We consulted with society publishers through interviews, surveys, and workshops about the 27 business models and strategies identified during the project. We also surveyed library consortia about their willingness to support society publishers to make the transition to OA. Our key finding is that transformative agreements emerge as the most promising model because they offer a predictable, steady funding stream. We also facilitated pilot transformative agreement negotiations between several society publishers and library consortia. These pilots and a workshop of consortium representatives and society publishers informed the development of an OA transformative agreement toolkit. Our conclusion is that society publishers should consider all the business models this project has developed and should not automatically equate OA with article publication charges.
Better secret sharing via robust conditional disclosure of secrets

A secret-sharing scheme allows to distribute a secret s among n parties such that only some predefined “authorized” sets of parties can reconstruct the secret, and all other “unauthorized” sets learn nothing about s. For over 30 years, it was known that any (monotone) collection of authorized sets can be realized by a secret-sharing scheme whose shares are of size 2 n−o(n) and until recently no better scheme was known. In a recent breakthrough, Liu and Vaikuntanathan (STOC 2018) have reduced the share size to 20.994n+o(n), which was later improved to 20.892n+o(n) by Applebaum et al. (EUROCRYPT 2019). In this paper we improve the exponent of general secret-sharing down to 0.637. For the special case of linear secret-sharing schemes, we get an exponent of 0.762 (compared to 0.942 of Applebaum et al.). As our main building block, we introduce a new robust variant of conditional disclosure of secrets (robust CDS) that achieves unconditional security even under bounded form of re-usability. We show that the problem of general secret-sharing reduces to robust CDS with sub-exponential overhead and derive our main result by implementing robust CDS with a non-trivial exponent. The latter construction follows by presenting a general immunization procedure that turns standard CDS into a robust CDS.
Exploiting Directly-Attached NVMe Arrays in DBMS

PCIe-attached solid-state drives offer high throughput and large capacity at low cost. Modern servers can easily host 4 or 8 such SSDs, resulting in an aggregated bandwidth that hitherto was only achievable using DRAM. In this paper we study how to exploit such Directly-Attached NVMe Arrays (DANA) in database systems. We ﬁnd that DANA presents new challenges that require rethinking the way I/O operations are performed at both the database and operating system layer.