Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Quality of Anticoagulation Achieved with Warfarin as Thromboprophylaxis for Stroke Prevention in Non-valvular Atrial Fibrillation

Background: Atrial fibrillation is one of the common indications of oral anticoagulation. Warfarin continues to be the most commonly used oral anticoagulant, particularly in developing countries. However, its use is limited by many factors, the most important of which is monitoring its therapeutic effect. Objective: The objective of our study was to assess the anticoagulation quality in patients with atrial fibrillation receiving warfarin for thromboprophylaxis and the impact of various factors on the anticoagulation quality. Materials and Methods: A total of 79 cases with non-valvular atrial fibrillation with or without a history of ischemic stroke attending the neurology clinic from September 2019 to March 2020 were studied. INR readings were taken from the outpatient record register which was converted to TTR (Time in Therapeutic Range) using the Rosendaal method. Cases that had received warfarin for less than 1 year were excluded. TTR value > 70% was considered as good anticoagulation control, TTR 60-70% as intermediate control and TTR < 60% as poor control. Statistical Analysis: Descriptive statistics and Pearson chi-square analysis using SPSS-20. Results and Conclusion: The mean TTR in our study was 59.72. Only 21.5% of cases in our study achieved a good anticoagulation control (TTR > 70%) while as 55.69% had a poor anticoagulation control (TTR < 60%). Males were reported to have a higher mean TTR value as compared to females (64.24 vs 55.54). High CHA2DS2VASc score and HAS-BLED score proved to have a strong predictive value for TTR less than 60. Individually, alcoholism, diabetes mellitus, hypertension and chronic kidney disease were found to be predictors of poor anticoagulation control i,e. TTR < 60. The presence of Transient ischemic attack or ischemic stroke was found to have a positive correlation with TTR > 70. A high number of adverse events (thromboembolic and bleeding) were reported in patients with TTR less than 60. The observations reflect the poor quality of anticoagulation in non-valvular atrial fibrillation patients on warfarin in the studied population.
Space radiation environment impacts on high power amplifiers and solar cells on-board geostationary communications satellites

Communications satellite operators maintain archives of component telemetry to monitor system function. Operators generally do not typically use the telemetry data for scientific analysis of the space radiation environment effects on component anomalies or performance. We partnered with four geostationary (GEO) operators, acquired >1 million hours of telemetry, and combined these data with space weather observations to investigate relationships between space weather and hardware performance. We focused on the effects of space weather on two component types: solar cells and high power amplifiers. For solar cells, by augmenting >20 years of GEO telemetry with separate GEO space weather measurements, we calculated both on-orbit degradation of Si and GaAs solar cells in an annual average sense, and also quantified the degradation of cells during severe solar proton events (SPEs) of 10 MeV protons > 10,000 pfu. A functional relationship between the amount of degradation and proton fluence is also considered. We used the calculated degradation to evaluate several combinations of space weather environment models with solar cell degradation models and found that predicted performance is within 1% of the observed degradation. These models had not previously been validated using multiple on-orbit GEO datasets. We did not find a model pairing that consistently outperformed the others over all of the datasets. For high power amplifiers, through the use of statistical analysis, simulations, and electron beam experiments we conducted a root-cause analysis of solid state power amplifier (SSPA) anomalies on-board eight GEO satellites. From the statistical analysis, we identified that the occurrence of anomalies was not random with respect to the space weather environment, but that there appeared to be a relationship to highenergy electron fluence for periods of time between 10 – 21 days before the anomalies.
Quality evaluation of yogurts produced commercially In Lagos, Nigeria

Yogurt of the natural-stirred and pineapple-stirred varieties manufactured commercially in Lagos, Nigeria were analyzed to evaluate the nutritional quality of the fresh and stored product. The carbohydrate and protein contents were higher in the pineapple than in natural yogurt with an average percent content of 12.7 and 1.2 compared to 7.0 and 0.9 respectively. The fat content was the same, about 1.0 percent of each type. These values decreased with time during storage and the decrease was more rapid at 30oC than at 10oC. Natural yogurt was more acidic with an average pH of 3.8 and 3.0% lactic acid content compared to values of 4.2 and 2.4% respectively for pineapple yogurt. Titratable acidity and moisture content increased with storage time without any marked change in pH. Yogurt spoilage was evident from the yeast odour when yeast counts had reached 106 -108 cfu ml-1. A product shelf life of 6 days at 10oC and 48h at 30oC is recommended and the concentration of milk solids should be increased in order to produce a more nutritious yogurt. Keywords : Yogurts, quality evaluation, Lagos, Nigeria AJAZEB Vol. 7 2005: pp. 78-82
Comparison of Some Numerical Approaches for Determination of Dynamic Characteristics in Beam and Plate Elements

In the last few decades, many numerical methods have been developed and employed to solve for various types of linear and nonlinear equations due to challenges in the aspect of the implementation of governing equations and boundary conditions, computation time, algorithm complexity, accuracy, convergency, stability of the solution and so on. Of the numerical methods in the open literature, differential quadrature (DQM), differential transform (DTM), and finite difference (FDM) methods are expressed briefly with their algorithms and compared to each other for the modal analysis of beam and plate elements. For simplicity, shear strains effects are neglected for the chosen structural elements, and plate element is reduced to one-dimensional case up to chosen simply-supported boundary condition. Under these assumptions, computed non-dimensional natural frequencies by applying concerned methods are tabulated, and mode shapes are plotted. To understand the strength and accuracy of employed methods, numerical results in the high vibration modes are investigated, and it is seen that DTM gives faster and more accurate solutions while the results of DQM depend on chosen grid distribution and has less accurate than DTM. However, the ease of implementation and accurate results for multidimensional cases are pros properties of the DQM.
Linseed Silesia, Diverse Crops for Diverse Diets. New Solutions to Increase Dietary Lipids in Crop Species

The aim of the work was to compare the new variety of oil flax (Silesia) with already cultivated varieties in terms of plant productivity, oil content, fatty acid composition and significant secondary metabolites. The analyzed linseed varieties are characterized by low (Linola), medium (Silesia) and high (Szafir) content of omega-3 fatty acids. Special attention was paid to the quality of the oil and the characteristics that determine its stability (reduction of susceptibility to oxidation). A number of antioxidant compounds of secondary metabolism (simple phenols, phenolic acids, flavonoids, tannins) were identified in the linseed oils. All of these compounds can affect lipid oxidation by a mechanism that attenuates initiating radicals such as hydroxyl or forms an oxidizing primary product such as peroxides. Chelation of metal ions may also be involved in lipid oxidation. We propose a mechanism that encompasses all these processes and facilitates understanding of the complex relationships between them. The general thesis is that the ratio of polyunsaturated fatty acids is associated with a better metabolic state of flaxseed, and thus with a higher nutritional value. In addition, we find a number of specialized secondary metabolites characteristic of the flax studied, which could be useful for chemotaxonomy.
Visualizing Automatic Speech Recognition - Means for a Better Understanding?

Automatic speech recognition (ASR) is improving ever more at mimicking human speech processing. The functioning of ASR, however, remains to a large extent obfuscated by the complex structure of the deep neural networks (DNNs) they are based on. In this paper, we show how so-called attribution methods, that we import from image recognition and suitably adapt to handle audio data, can help to clarify the working of ASR. Taking DeepSpeech, an end-to-end model for ASR, as a case study, we show how these techniques help to visualize which features of the input are the most influential in determining the output. We focus on three visualization techniques: Layer-wise Relevance Propagation (LRP), Saliency Maps, and Shapley Additive Explanations (SHAP). We compare these methods and discuss potential further applications, such as in the detection of adversarial examples.
Minimal residual disease in follicular lymphoma

: Follicular lymphoma (FL) is an indolent disease with a continuously remitting course. Despite improved treatment options, about 20% of patients suffer from early relapse and subsequent death. Several baseline clinical, histological and biological parameters have been identified as risk factors for adverse outcome, but they do not predict response to treatment and are currently not being used for risk adapted treatment strategies. In recent years, minimal residual (detectable) disease (MRD) detection has gained considerable interest as a post-treatment outcome predictor and a considerable amount of data has been generated in the field. MRD integrates preclinical risk factors and their influence on achievement of response, by dynamically monitoring the clearance of lymphoma cells during treatment early feedback on the efficacy of treatment for the individual patient can be achieved as well as the identification of adverse prognostic subgroups. Detectable MRD or kinetics of lymphoma regrowth after the end of treatment (EOT) identifies patients at risk of clinical relapse much earlier than imaging techniques. Therefore, MRD assessment allows a stratification for individualized treatment approaches early in the treatment course and might provide tailored treatment approaches in the future. This review will discuss major technical advances and significant clinical messages that have been derived from the application of MRD monitoring in clinical trials during the last decade. Furthermore, we discuss the prognostic role of combined metabolic response by 18 F-fluorodeoxyglucose positron emission tomography ( 18 F-FDG-PET) and molecular MRD analysis at end of induction (EOI) as an endpoint and early read-out in clinical trials. 16
Central Carbon Metabolism, Sodium-Motive Electron Transfer, and Ammonium Formation by the Vaginal Pathogen Prevotella bivia

Replacement of the Lactobacillus dominated vaginal microbiome by a mixed bacterial population including Prevotella bivia is associated with bacterial vaginosis (BV). To understand the impact of P. bivia on this microbiome, its growth requirements and mode of energy production were studied. Anoxic growth with glucose depended on CO2 and resulted in succinate formation, indicating phosphoenolpyruvate carboxylation and fumarate reduction as critical steps. The reductive branch of fermentation relied on two highly active, membrane-bound enzymes, namely the quinol:fumarate reductase (QFR) and Na+-translocating NADH:quinone oxidoreductase (NQR). Both enzymes were characterized by activity measurements, in-gel fluorography, and VIS difference spectroscopy, and the Na+-dependent build-up of a transmembrane voltage was demonstrated. NQR is a potential drug target for BV treatment since it is neither found in humans nor in Lactobacillus. In P. bivia, the highly active enzymes L-asparaginase and aspartate ammonia lyase catalyze the conversion of asparagine to the electron acceptor fumarate. However, the by-product ammonium is highly toxic. It has been proposed that P. bivia depends on ammonium-utilizing Gardnerella vaginalis, another typical pathogen associated with BV, and provides key nutrients to it. The product pattern of P. bivia growing on glucose in the presence of mixed amino acids substantiates this notion.
Measurements of the branching ratios for 
6P1/2
 decays in 
Ba+138

Measurement of the branching ratios for $6P_{1/2}$ decays to $6S_{1/2}$ and $5D_{3/2}$ in $^{138}$Ba$^+$ are reported with the decay probability from $6P_{1/2}$ to $5D_{3/2}$ measured to be $p=0.268177\pm(37)_\mathrm{stat}-(20)_\mathrm{sys}$. This result differs from a recent report by $12\sigma$. A detailed account of systematics is given and the likely source of the discrepancy is identified. The new value of the branching ratio is combined with a previous experimental results to give a new estimate of $\tau=7.855(10)\,\mathrm{ns}$ for the $6P_{1/2}$ lifetime. In addition, ratios of matrix elements calculated from theory are combined with experimental results to provide improved theoretical estimates of the $6P_{3/2}$ lifetime and the associated matrix elements.
Reciprocity of Cognitive and Emotional Antecedents to Bullying: Bidirectional Relations Between Cognitive Impulsivity and Anger

The purpose of this study was to investigate the possibility that cognitive and affective variables form a reciprocal relationship when it comes to predicting future bullying perpetration. To this end, the bidirectional relationship between cognitive impulsivity and anger was evaluated in an effort to determine whether both cross-lagged pathways contributed to a rise in bullying behavior. The reciprocal hypothesis was tested in a sample of 1,160 early adolescents (567 boys, 593 girls) from the Illinois Study of Bullying and Sexual Violence (ISBSV). Cognitive impulsivity and anger were cross-lagged at Waves 1 and 2 of the ISBSV, after which they were correlated with bullying perpetration at Wave 3 in a three-wave longitudinal path analysis. Results from the path analysis identified the presence of a significant bidirectional association between Cognitive Impulsivity-1 and Anger-2 and between Anger-1 and Cognitive Impulsivity-2, with both cross-lags effectively predicting future bullying behavior.
A sectoral study of ISO 9000 and TQM transitions: the UK and Irish brewing sector

This paper examines the key dynamics of an organisational transition from ISO 9000 to TQM with specific reference to the UK and Irish brewing sector. A number of quality related research studies have reported on the potential of ISO 9000 as a foundation for TQM, and the possibility of the existence of a quality continuum, commencing with ISO 9000 and progressing to TQM. However, there is a paucity of sector specific research in this area. Following a critique of the literature, a UK and Irish research survey involving the 90 leading brewing organisations is analysed and discussed. The paper concludes that considerable complementarity exists between ISO 9000 and TQM. Furthermore, TQM is considered to be best implemented within the controlled environment/quality assurance environment of ISO 9000. Progression to TQM will only occur if a non‐bureaucratic inclusive approach to ISO 9000 implementation is adopted.
Wall Incident Heat Flux Distributions Resulting From An Adjacent Fire

Incident wall heat flux distributions have been measured for square propane burner fire sources placed against the wall. Peak heat fluxes of 40-120 kw/m2 were measured for heat release rates of 50-500 kw/m2 and burner edge lengths of 0.28-0.7 m. Peak heat fluxes were found to be a strong function of heat release rate but were insensitive to flame aspect ratio or burner size. Correlations of the data were developed to represent the measured flux distributions. These correlations are intended for use in wall flame spread modeling.
Pengaruh Likuiditas, Leverage, Pertumbuhan Perusahaan, dan Profitabilitas terhadap Kebijakan Dividen pada Perusahaan Manufaktur di Bei

Penelitian ini bertujuan untuk mencari tahu pengaruh likuiditas, leverage, pertumbuhan perusahaan , dan profitabilitas terhadap kebijakan dividen pada perusahaan manufaktur di Bursa Efek Indonesia (BEI) periode 2010-2013. Penelitian ini dilakukan berdasarkan informasi yang didapatkan melalui Bursa Efek Indonesia. Penelitian ini menggunakan metode observasi non-participant dan penelitian kepustakaan Prosedur penentuan sampel menggunakan metode purposive sampling. Populasi dalam penelitian ini adalah perusahaan-perusahaan manufaktur yang tercatat aktif di Bursa Efek Indonesia dari tahun 2010 hingga 2013 dengan sampel 10 perusahaan. teknik analisis yang digunakan Analisis berganda. Hasil penelitian Likuiditas (CR), Leverage (DER), Growth (TA) berpengaruh signifikan terhadap kebijakan dividen pada perusahaan maufaktur di Bursa Efek Indonesia dan Profitabilitas (ROA) tidak berpengaruh signifikan terhadap kebijakan dividen pada perusahaan maufaktur di Bursa Efek Indonesia ,saran yang dapat disampaikan bagi pihak investor yang akan menginvestasikan dananya disarankan untuk lebih cermat dalam menganalisa dan memperhatikan kinerja perusahaan sehingga tidak terpengaruh oleh peningkatan pembayaran dividen yang semu.
Does a local knowledge base in Industry 3.0 foster diversification in Industry 4.0 technologies? Evidence from European regions

The aim of the paper is to shed light on the role played by regional knowledge bases in Industry 3.0 in fostering new technologies in Industry 4.0 in European regions (NUTS3) over the period 1991-2015. We find that 4.0 technologies appear to be quite related to 3.0 technologies, with some heterogeneity among different technology fields. The paper investigates the geographical implications. We find that the probability of developing Industry 4.0 technologies is higher in regions that are specialised in Industry 3.0 technologies. However, other types of knowledge bases also sustain regional diversification in Industry 4.0 technologies. JEL codes: B52, O33, R11
Design of a 1.9 GHz low-power LFSR Circuit using the Reed-Solomon Algorithm for Pseudo-Random Test Pattern Generation

A linear feedback shift register (LFSR) has been frequently used in the Built-in Self-Test (BIST) designs for the pseudo-random test pattern generation. The higher volume of the test patterns and the lower test power consumption are the key features in the large complex designs. The motivation of this study is to generate efficient pseudo-random test patterns by the proposed LFSR and to be applied in the BIST designs. For the BIST designs, the proposed LFSR satisfied with the main strategies such as re-seeding and lesser test power consumption. However, the reseeding approach was utilized by the maximum-length pseudo-random test patterns. The objective of this paper is to propose a new LFSR circuit based on the proposed Reed-Solomon (RS) algorithm. The RS algorithm is created by considering the factors of the maximum length test patterns with a minimum distance over the time t. Also, it has been achieved an effective generation of test patterns over a stage of complexity order O (m log2 m), where m denotes the total number of message bits. We analysed our RS LFSR mathematically using the feedback polynomial function to decrease the area overhead occupied in the designs. The simulation works of the proposed RS LFSR bit-wise stages are simulated using the TSMC 130 nm on the Mentor Graphics IC design platform. Experimental results showed that the proposed LFSR achieved the effective pseudo-random test patterns with a lower test power consumption of 25.13 µW and 49.9 µs. In addition, proposed LFSR along with existing authors’ LFSR are applied in the BIST design to examine their power consumption. Ultimately, overall simulations operated with the highest operating frequency environment as 1.9 GHz.
Structural Change of TiAl Alloy under Uniaxial Tension and Compression in the <001> Direction: A Molecular Dynamics Study

TiAl alloys can be used in aircraft and high-performance vehicle engines owing to their structural stability at high temperatures and their light weight. Although many studies have focused on developing this alloy material, there is still a lack of information about the changes in the structure of TiAl alloys under tensile and compressive loading. Therefore, we performed molecular dynamics simulations of the tensile and compressive loading of TiAl alloys in the <001> direction at temperatures of 10 and 300 K. From our simulation results, we found that the tensile and compressive strengths of TiAl alloys are significantly affected by temperature. It was found that TiAl alloys can withstand greater compression loading than tensile loading. This is due to the change in the crystal structure of TiAl alloys after being deformed to a strain of 0.4 by compressive loading, according to the analysis of structural changes under loading conditions. From the radial distribution analysis results, there was a change in the orientation of the face-centered cubic-like structure as it reached the maximum compressive stress compared to the initial structure.
Supplementary material to "The impact of the South-East Madagascar bloom on the oceanic CO2 sink"

Abstract. We described new sea surface CO2 observations in the southwestern Indian Ocean obtained in January 2020 when a strong bloom event occurred south-east of Madagascar and extended eastward in the oligotrophic Indian Ocean subtropical domain. Compared to previous years (1991–2019) we observed very low fCO2 and dissolved inorganic carbon concentrations (CT) in austral summer 2020, indicative of a biologically driven process. In the bloom the anomaly of fCO2 and CT reached respectively −33 µatm and −42 µmol. kg-1 whereas no change is observed for alkalinity (AT). In January 2020 we estimated a local maximum of air-sea CO2 flux at 27° S of −6.9 mmol.m-2.d-1 (ocean sink) and −4.3 mmol.m-2.d-1 when averaging the flux in the band 26–30° S. In the domain 25–30° S/50–60° E we estimated that the bloom led to a regional carbon uptake of about −1 TgC.month-1 in January 2020 whereas this region was previously recognized as an ocean CO2 source or near equilibrium during this season. Using a neural network approach that reconstructs the monthly fCO2 fields we estimated that when the bloom was at peak in December 2019 the CO2 sink reached −3.1 (±1.0) mmol.m-2.d-1 in the band 25–30° S, i.e. the model captured the impact of the bloom. Integrated in the domain restricted to 25–30° S/50–60° E the region was a CO2 sink in December 2019 of −0.8 TgC.month-1 compared to a CO2 source of +0.12 (± 0.10) TgC.month-1 in December when averaged over the period 1996–2018. Consequently in 2019 this region was a stronger CO2 annual sink of −8.8 TgC.yr-1 compared to −7.0 (±0.5) TgC.yr-1 averaged over 1996–2018. In austral summer 2019/2020, the bloom was likely controlled by relatively deep mixed-layer depth during preceding winter (July–September 2019) that would supply macro and/or micro-nutrients as iron to the surface layer to promote the bloom that started in November 2019 in two large rings in the Madagascar Basin. Based on measurements in January 2020, we observed relatively high N2 fixation rates (up to 18 nmol N.L-1.d-1) suggesting that diazotrophs could play a role on the bloom in the nutrient depleted waters. The bloom event in austral summer 2020, along with the new carbonate system observations, represents a benchmark case for complex biogeochemical model sensitivity studies (including N2-fixation process and iron supplies) for a better understanding on the origin and termination of this still mysterious sporadic bloom and its impact on ocean carbon uptake in the future.