Miracle-dz/UniFAR-FTUs huggingface dataset:
Peripheral arterial disease diagnosis and management in primary care: a qualitative study

Background Patients diagnosed with peripheral arterial disease (PAD) are at an increased risk of coronary heart disease, stroke, heart attack, and PAD progression. If diagnosed early, cardiovascular risk factors can be treated and the risk of other cardiovascular diseases can be reduced. There are clear guidelines on PAD diagnosis and management, but little is known about the issues faced in primary care with regards adherence to these, and about the impact of these issues on patients. Aim To identify the issues for primary care health professionals (HPs) and patients in PAD diagnosis and management, and to explore the impact of these on HPs and PAD patients. Design & setting Qualitative study conducted in a primary care setting in the North East of England. Data was collected between December 2014 and July 2017. Method Semi-structured interviews and focus groups were conducted with PAD register patients (n = 17), practice nurses ([PNs], n = 17), district nurses (DNs], n = 20), tissue viability nurses (n = 21), and GPs (n = 21). Results HPs’ attitudes to PAD, difficulty accessing tests, and patient delays impacted upon diagnosis. Some HPs had a reactive approach to PAD identification. Patients lacked understanding about PAD and some reported a delay consulting their GP after the onset of PAD symptoms. After diagnosis, few were attending for regular GP follow-up. Conclusion Patient education about PAD symptoms and risks, and questioning about exercise tolerance, could address the problem of under-reporting. Annual reviews could provide an opportunity to probe for PAD symptoms and highlight those requiring further investigation. Improved information when PAD is diagnosed and, considering the propensity for patients to tolerate worsening symptoms, the introduction of annual follow-up (at minimum) is warranted.
Homolytic Versus Heterolytic Bond Breaking in Functionalized [R‐C20H10]+ Systems

The comprehensive theoretical investigation of stability of functionalized corannulene cations [R‐C20H10]+ with respect to two alternative bond‐breaking mechanisms, namely, homolytic or radical ([R‐C20H10]+ → R• + C20H10+•) and heterolytic or cationic ([R‐C20H10]+ → R+ + C20H10), was accomplished. The special focus was on the influence of the nature of R‐group on the energetics of the bond cleavage. Detailed study of energetics of both mechanisms has revealed that the systems with small alkyl groups such as methyl tend to undergo bond breaking in accordance with homolytic mechanism. Subsequent elongation of the chain of the R‐group resulted in shifting the paradigm, making heterolytic path more energetically favorable. Subsequent analysis of different components of the bonding between R‐group and corannulene polyaromatic core helped to shed light on trends observed. In both mechanisms, the covalent contribution was found to be dominating, whereas ionic part contributes ~25–27%. Two leading components of ΔEorb, C20H10 → R and R → C20H10, were identified with NOCV‐EDA approach. While the homolytic pathway is best described as R → C20H10 process, the heterolytic mechanism shows domination of the C20H10 → R term. Surprisingly, the preparation energy (ΔEprep) was identified as a key player in stability tendencies found. In other words, the relative stability of corresponding molecular fragments (here R‐groups as the corannulene fragment remains the same for all systems) in their cationic or radical forms determine the preference given to a specific bond breaking path and, as consequence, the total stability of target functionalized cations. These conclusions were further confirmed by extending a set of R‐groups to conjugated (allyl, phenyl), bulky (iPr, tBu), β‐silyl (CH2SiH3, CH2SiMe3), and benzyl (CH2Ph) groups. © 2019 Wiley Periodicals, Inc.
Research on the Transmission System of Multi Frequency Electrical Resistivity Detecting

Goaf detecting is of great significance to the safe operation of the power grid. The traditional detection technology has many disadvantages like single frequency transmission signal, low detection efficiency, anti-interference ability and so on, so they are not suitable for the detection of goaf under the transmission power line. This paper designs a multi frequency resistivity detection transmission system, which has a wide frequency range, rich frequency content, high detection efficiency. It also has the ability of anti-electromagnetic interference, more suitable for the goaf detection under power grid, and it is significant to ensure the safe operation of the power grid.
Lattice study of 4d {\cal N}=1 super Yang-Mills theory with dynamical overlap gluino

We report on a lattice simulation result for four-dimensional {\cal N}=1 SU(2) super Yang-Mills theory with the dynamical overlap gluino. We study the spectrum of the overlap Dirac operator at three different gluino masses m=0.2, 0.1 and 0.05 with the Iwasaki action on a 8^3 \times 16 lattice. We find that the lowest eigenvalue distributions are in good agreement with the prediction from the random matrix theory. Moreover the mass dependence of the condensate is almost constant, which gives a clean chiral limit. Our results for the gluino condensate in the chiral limit is r_0^3 = 0.63(12), where r_0 is the Sommer scale.
Research on the Surface Extraction of the Point Cloud Data in Marine Surveying and Mapping

This paper firstly made analysis of the points, lines and surfaces with special curvatures in point cloud data information and classified the points according to the three eigenvalues obtained through analysis matrix. And then, it simplified the point cloud data. Data simplification was completed according to distance, surface variation, and curvature. At last, it screened, removed and classified the data based on the least square method applied in the fuzzy clustering analysis in local domain, so as to fit the point cloud surface and improve the extraction precision of the entire data.
EXTREME MAGNIFICATION MICROLENSING EVENT OGLE-2008-BLG-279: STRONG LIMITS ON PLANETARY COMPANIONS TO THE LENS STAR

We analyze the extreme high-magnification microlensing event OGLE-2008-BLG-279, which peaked at a maximum magnification of A ∼ 1600 on 2008 May 30. The peak of this event exhibits both finite-source effects and terrestrial parallax, from which we determine the mass of the lens, Ml = 0.64 ± 0.10 M ☉, and its distance, Dl = 4.0 ± 0.6 kpc. We rule out Jupiter-mass planetary companions to the lens star for projected separations in the range 0.5–20 AU. More generally, we find that this event was sensitive to planets with masses as small as with projected separations near the Einstein ring (∼3 AU).
How does streamflow affect metals in the upper Arkansas River? US Geological Survey Fact Sheet 226-2

Metal deposits generally contain large amounts of sulfur, which are closely tied to the chemical formation of metalsulfide minerals. Mining increases the exposure of metal sulfides to water and oxygen and accelerates the natural acidproducing weathering process. In this process, the iron and sulfur components in pyrite are oxidized and produce acidity (H+). The release of acidity lowers the pH of the drainage water. Metals are more mobile under acidic conditions and can be released from the drainage water to the receiving stream in high concentrations, producing a condition known as acid mine drainage.
Estimation and change in carbon stock of Robinia pseudoacacia in Seoul, Korea

Estimation and Change in Carbon Stock of Robinia pseudoacacia in Seoul, Korea Kil, Sung–Ho Department of Landscape Architecture and Urban Planning, Texas A&M University Kim, Jun–Hyun Department of Landscape Architecture and Urban Planning, Texas A&M University Newman, Galen Department of Landscape Architecture and Urban Planning, Texas A&M University Park, Gwan–Soo Department of Forest Resources, Chungnam National University 他
Evaluation of energy potential of fresh and stored bone marrow cells using a fluorescent potential-sensitive probe

Tatyana V.Parkhomenko, Oleg V.Galibin, Elena V.Verbitskaya, Vladimir V. Tomson R.M. Gorbacheva Research Institute of Pediatric Oncology, Hematology and Transplantion, Research Center, First St.Petersburg State I.P.Pavlov Medical University, Russian Ministry of Health Care, St.Petersburg, Russia Parkhomenko T.V. , Senior Research Associate, Laboratory of Pathomorphology, Research Center, The First St. Petersburg State I.P. Pavlov Medical University, Russian Ministry of Health Care, L. Tolstoy St 6-8, 197022, St.Petersburg, Russia
Evidence of Opportunity and Necessity Driven Entrepreneurship in Nigeria

The objective of this paper is to examine the influence of poverty, unemployment and GDP on entrepreneurship. Time series data for 31 years was collected from various official sources for the analysis. Vector autoregressive (VAR) framework was adopted to systematically capture the rich dynamic of multiple time series. Other tests conducted were unit root test, Johansen and Juselius (1990) co-integration test, Granger causality and dynamic model analysis beyond the sample. It was found that poverty and GDP influence entrepreneurship negatively, while unemployment influences entrepreneurship positively. The paper reveals the presence of both opportunity and necessity driven entrepreneurs in the country. There is a need for the government to revisit the existing policy on micro, small and medium enterprises (MSMEs) to adequately address the problem of the poor and unemployed by availing them with the opportunity to engage in entrepreneurship. Future study should consider mitigating the effect of frequent entry and exit from entrepreneurship in their data to correctly predict the effect of entrepreneurship on the economy.
Recurrence quantification analysis for time serie

Recurrence is a fundamental property of dynamical systems and studying it helps in deepen our understanding of the systems and predict their evolution. Recurrence has been studied in many real systems, such as financial exchange rates, damage detection and neuroscience data, but, as far as we know have never been applied with the aim of detecting demand patterns needed to develop a reliable forecast model. The analysis is performed using the Recurrence Plot (RP) together with the tool called Recurrence Quantification Analysis (RQA). RP is based on the computation of a distance matrix between reconstructed points in phase space. RQA provides a set of measures for RP quantification. In this work we analyse the RPs corresponding to several simulated demand time series and the relationship between Determinism (DET, a RQA measure) and parameters traditionally used to assess demand patterns. The visualization of the RP and the calculation of DET of the simulated demand time series provide positive results when used to detect demand patterns.
Bayesian optimization for tuning chaotic systems

Abstract. In this work, we consider the Bayesian optimization (BO) approach for tuning parameters of complex chaotic systems. Such problems arise, for instance, in tuning the sub-grid scale parameterizations in weather and climate models. For such problems, the tuning procedure is generally based on a performance metric which measures how well the tuned model fits the data. This tuning is often a computationally expensive task. We show that BO, as a tool for finding the extrema of computationally expensive objective functions, is suitable for such tuning tasks. In the experiments, we consider tuning parameters of two systems: a simplified atmospheric model and a low-dimensional chaotic system. We show that BO is able to tune parameters of both the systems with a low number of objective function evaluations and without the need of any gradient information.
Dynamic PML protein nucleolar associations with persistent DNA damage lesions in response to nucleolar stress and senescence-inducing stimuli

Diverse stress insults trigger interactions of PML with nucleolus, however, the function of these PML nucleolar associations (PNAs) remains unclear. Here we show that during induction of DNA damage-induced senescence in human non-cancerous cells, PML accumulates at the nucleolar periphery simultaneously with inactivation of RNA polymerase I (RNAP I) and nucleolar segregation. Using time-lapse and high-resolution microscopy, we followed the genesis, structural transitions and destiny of PNAs to show that: 1) the dynamic structural changes of the PML-nucleolar interaction are tightly associated with inactivation and reactivation of RNAP I-mediated transcription, respectively; 2) the PML-nucleolar compartment develops sequentially under stress and, upon stress termination, it culminates in either of two fates: disappearance or persistence; 3) all PNAs stages can associate with DNA damage markers; 4) the persistent, commonly long-lasting PML multi-protein nucleolar structures (PML-NDS) associate with markers of DNA damage, indicating a role of PNAs in persistent DNA damage response characteristic for senescent cells. Given the emerging evidence implicating PML in homologous recombination-directed DNA repair, we propose that PNAs contribute to sequestration and faithful repair of the highly unstable ribosomal DNA repeats, a fundamental process to maintain a precise balance between DNA repair mechanisms, with implications for genomic integrity and aging.
Preliminary Evaluation of the Antimicrobial Potency of an Ectohydric Moss Plant

Approximately 15,000 to 25,000 bryophyte species are known in the world with moss species being 8000-9000 yet very little is known about the phytochemistry of bryophytes and information concerning research results is very scattered. This study therefore evaluated the phytochemicals and antimicrobial activities of an ectohydric moss plant using standard procedures. Ten principle bioactive compounds were investigated. In all, eight were present in three solvent extracts. These include tannins, steroids, triterpenoids, flavonoids, phenols, cardenolides, terpenoids and balsams.The antibacterial activities of the three different extracts from the moss plant were tested against four bacterial and a yeast isolate by agar well diffusion method. It was observed that chloroform and n-hexane extracts were active on some of the bacteria. In addition, extract of chloroform possessed the highest antibacterial activity against P. aeruginosa, E. coli and Candida albican with minimum inhibition concentration of 100 mg/ml, 100 mg/ml and 200 mg/ml respectively. The current study indicates that extracts of moss plant may be exploited for antimicrobial drugs in the future for the treatment of various ailment
Hybrid Biogeography Based Optimization for Constrained Numerical and Engineering Optimization

Biogeography based optimization (BBO) is a new competitive population-based algorithm inspired by biogeography. It simulates the migration of species in nature to share information. A new hybrid BBO (HBBO) is presented in the paper for constrained optimization. By combining differential evolution (DE) mutation operator with simulated binary crosser (SBX) of genetic algorithms (GAs) reasonably, a new mutation operator is proposed to generate promising solution instead of the random mutation in basic BBO. In addition, DE mutation is still integrated to update one half of population to further lead the evolution towards the global optimum and the chaotic search is introduced to improve the diversity of population. HBBO is tested on twelve benchmark functions and four engineering optimization problems. Experimental results demonstrate that HBBO is effective and efficient for constrained optimization and in contrast with other state-of-the-art evolutionary algorithms (EAs), the performance of HBBO is better, or at least comparable in terms of the quality of the final solutions and computational cost. Furthermore, the influence of the maximum mutation rate is also investigated.
FIRST OPERATION OF THE LANL/AES NORMAL CONDUCTING RADIO FREQUENCY PHOTOINJECTOR*

The LANL/AES normal-conducting radio-frequency (NCRF) injector has undergone high power testing, confirming field gradients of up to 10 MV/m at the cathode. Most NCRF designs are limited to low-dutyfactor operation to constrain rf power consumption and limit ohmic heat generation. This cavity structure utilizes high density micro-channel cooling to successfully remove heat with the option of dynamic temperature control to actively adjust cavity resonance. This first high power rf test demonstrated stable cw (100% duty cycle) operation using resonant frequency tracking and produced intentional dark current emission from a roughened cathode blank. Resulting end-point x-ray measurements confirm the cathode gradient of 9.8 ± 0.2 MV/m required for acceleration of nC bunches to a beam energy of 2.5 MeV.
Reconstruction of late spring phenophases in Poland and their response to climate change, 1951–2014

Phenology is primarily seen as an indicator of the impacts of climate change. The strongest biological signal of climatic change is revealed by phenological data from the period after 1990. Unfortunately, the Polish nationwide network of phenological monitoring was terminated in 1992, and was only reactivated in 2005. Here, we attempt to reconstruct late spring phenophases of flowering of Syringa vulgaris L. and Aesculus hippocastanum L. across several sites in Poland from 1951 to 2014 using the GIS-based approach (if observations from neighboring stations were available) and multiple regression modeling with stepwise screening and bootstrap resampling. It was found that the air temperature and its indices explain over 60% of the variance, giving an accuracy of 3.0–3.4 days (mean absolute error) and correlation coefficients of 0.83 and 0.78 for lilac and horse chestnut, respectively. Altogether, both plant species showed a statistically significant advancement in the onset of flowering with an average rate of 1.7 days per decade. We also found that the final trend is the result of rapid acceleration of the increase in air temperature after the 1990s, while most of the trends for late spring were ambiguous before that period.
Application of E^p-Stability to Impulsive Financial Model

In this paper, we consider an impulsive stochastic model for an investment with production and saving profiles. The conditions for financial growth for the investment are investigated under impulsive action and results are obtained using the quantitative and Ep stability methods. The impulsive stochastic differential equation considered is assumed to be driven by a process with jump and non-linear gestation properties. One of the results established shows that, in the long run, it is impossible for a financial investment to grow or dominates the prescribed average financial investment but has a threshold value for which the investment cannot grow beyond. It is also established that an $E^{p}-$ stable investment vector can be found which allows financial growth but this vector must be constrained to be in a given invariant set:It is advisable for the saving and depreciation to satisfy certain growth rates for proper income and investment growths.
The Study of Personality Architecture and Dynamics (SPeADy): A Longitudinal and Extended Twin Family Study

Abstract The Study of Personality Architecture and Dynamics (SPeADy) is a German research project that aims to investigate the sources of interindividual differences in intraindividual personality development. The main focus lies in the dynamic interplay between more stable core characteristics and more environmentally malleable surface characteristics, as well as between personality and life experiences over time. SPeADy includes a twin family study encompassing data from 1962 individuals (age: 14–94) of 682 families, including 570 complete twin pairs (plus 1 triplet set), 327 parents, 236 spouses and 145 children of twins. Data collection started in 2016 and data from the first wave are currently obtainable as open source. Available data comprise a broad range of personality variables, such as personality trait constructs, motives, interests, values, moral foundations, religiosity and self-related concepts. For the currently ongoing second wave of data collection, we added retrospective reports on major life events. Special features of this genetically informative study are the extended twin family data and its longitudinal design. Three assessment waves in 2 years’ intervals are planned until 2022. In this article, we briefly describe the design and contents of the SPeADy twin family study as well as some recent findings, future plans and open science issues.
Proposal and evaluation of a recommendation technique that considers the context of product purchases

We propose here in a technique for product recommendation in E-commerce by considering the context of product purchases, and verify the effectiveness of the technique through an evaluation experiment. Researchers have been aggressively studying techniques that can be used by stores to recommend to customers products that have relatively high purchase potential. Collaborative filtering is representative of conventional techniques. However, the collaborative filtering technique is based on the hypothesis that similar customers purchase similar products, and the context of product purchases is not considered in full. In the present study, a context matrix by which to manage the context history of product purchases is proposed. The results of an evaluation experiment reveal that our proposition is useful.
Return on Training in the Knowledge-Based Economy: Review and Analysis of Existing Approaches to Evaluation of Training Outcomes

Studies report that in the knowledge-based economy the company’s sustainable growth depends on its employees. Having identified a positive correlation between investments into training and bottom-line, organizations pump millions of dollars into personnel and want to estimate ROI. For justifying training costs, training professionals should know the training evaluation techniques and master the proper language for successful communication with the financial department and top management. Based on the extensive literature review, this paper analyses existing approaches to estimating ROI into training. This study highlights the traits of up-to-date methods for estimating return on training, identifies weaknesses and outlines the areas for further research.
Offshoring and outsourcing potentials of jobs : Evidence from German micro-level data

This paper analyses the potentials of jobs to be offshored or outsourced. We use four waves of the BIBB/BAuA Survey on Qualification and Working Conditions in Germany and employ a large set of potential determinants of offshoring and outsourcing derived from the literature. Applying the datadriven method of principal component analysis, we provide two indicators that measure both the offshoring potentials (cross-country geographical relocation) and the outsourcing potentials (organisational relocation) at the level of jobs, occupations, tasks, or industries. Our results show significant variation in the determinants of both dimensions. In addition to the direct contribution, our paper provides two indicators that can be used to further investigate the economic effects of job offshorability. JEL-Classification: D23, F16, J24, O33
Potential of circulating pro‐angiogenic microRNA expressions as biomarkers for rapid angiographic stenotic progression and restenosis risks in coronary artery disease patients underwent percutaneous coronary intervention

This study aimed to investigate the correlation of pro‐angiogenic microRNA (miRNA) expressions with rapid angiographic stenotic progression (RASP) and restenosis risks in coronary artery disease (CAD) patients underwent percutaneous coronary intervention (PCI) with drug‐eluting stents (DES).