Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Persistence with Medication as a Mediator for the Social Inequality in Risk of Major Adverse Cardiovascular Events in Patients with Incident Acute Coronary Syndrome: A Nationwide Cohort Study

Aim Low socioeconomic status is associated with higher risk of major adverse cardiovascular events (MACE) among patients with incident acute coronary syndrome (ACS). We examined whether non-persistence with antiplatelet and statin therapy mediated the income- and educational-related inequality in risk of MACE. Methods Using national registers, all Danish patients diagnosed with incident ACS from 2010 to 2017 were identified. The primary outcome (MACE) comprised all-cause death, cardiac death and cardiac readmission. Risk of MACE was handled by discrete time analyses using inverse probability of treatment weights. The mediator variable comprised non-persistence to a combined 2-dimensional measure of statin and antiplatelet treatment. The mediation analysis was evaluated by population average effects. Results The study population was 45,874 patients, of whom 16,958 (37.0%) were non-persistent with medication and 16,365 (35.7%) suffered MACE during the median follow-up of 3.5 years. Compared to patients with low income, the adjusted hazard ratio of MACE was lowered by 33% (HR: 0.67, 95% CI: 0.61–0.72) in men and by 34% (HR: 0.66, 95% CI: 0.61–0.72) in women with high income, respectively. Similar results were observed according to level of education. A socioeconomic difference in risk of non-persistence was found in men but not women and only in relation to income. The lower risk of non-persistence observed in high-income men mediated the lower risk of MACE by 12.6% (95% CI: 11.1–14.1%) compared with low-income men. Conclusion Non-persistence with medication mediated some of the income-related inequality in risk of MACE in men, but not women, with incident ACS.
Synthesis and Fungicidal Activity of Hydrated Geranylated Phenols against Botrytis cinerea

Botrytis cinerea is a ubiquitous fungus that affects hundreds of plants, resulting in economic losses to the horticulture and fruit industry. The search for new antifungal agents is a matter of current interest. Thus, in this work a series of geranylated phenols in which the side alkyl chain has been hydrated have been synthesized, and their activity against B. cinerea has been evaluated. The coupling of phenol and geraniol has been accomplished under microwave irradiation obtaining the highest reaction yields in the shortest reaction times. Hydration of the side chain was carried out in dioxane with p-toluenesulfonic acid polymer-bound as the catalyst. All synthesized compounds were tested against B. cinerea using the growth inhibition assay and EC50 values were determined. The results show that activity depends on the number and nature of functional groups in the phenol ring and hydration degree of the geranyl chain. The most active compound is 1,4-dihydroquinone with one hydroxyl group attached at the end of the alkyl chain. Results from a molecular docking study suggest that hydroxyl groups in the phenol ring and alkyl chain are important in the binding of compounds to the active site, and that the experimental antifungal activity correlates with the number of H-bond that can be formed in the binding site.
Facilitating Subject Matter Expert (SME)-Built Knowledge Bases (KBS)

Abstract : This report describes the efforts surrounding the Challenge Problem Development and Evaluation Management for DARPA's Rapid Knowledge Formation (RKF) program. The goal of RKF was the development of technology by which subject matter experts (SMEs) can develop knowledge bases (KBs) directly, without the intervention of professional knowledge engineers (KEs). IET's primary responsibility under RKF during the first two years was qualitative and quantitative evaluation of RKF-developed technology with respect to challenge problems (CPs) that they developed and administered. RKF's annual evaluation cycle began with new CP discussions in the Fall PI meeting, with subsequent CP specification, and a major evaluation during the summer. This document refers to RKF's first evaluation year (ending Fall 2001) as RKF Y1 and to its second evaluation year (ending Fall 2002) as RKF Y2.
Evanescent Field Absorption-Based Fiber Optic Sensor for Detecting Power Transformer Oil Degradation

Observing the transformer oil quality is essential for the transformer’s health and system. The aging state of the transformer oils and the average remaining life accordingly can be determined using the breakdown voltage (BDV) test, ultraviolet-visible (UV-Vis) spectroscopy, and the refractive index (RI) standard methods. The subject of this study is to design and manufacture a much simpler and low-cost, evanescent field absorptionbased fiber optic sensor (EFA-FOS) compatible with these proven standard methods and to perform a comparative performance analysis by determining a critical voltage threshold. Apart from the expensive and cumbersome standard methods mentioned above, the usability of the oil is carried out, thanks to the online sensor system, with the pretest using this critical voltage value. EFA-FOS measurement results of oil samples can determine the samples’ aging degree with high accuracy. The samples’ RI is determined with EFA-FOS with a sensitivity of −70 V/RIU and a linearity of 0.98 (R). A strong relationship has also been determined between the sensor output and measured BDV with a regression constant of 0.86 (R). ARTICLE HISTORY Received 30 April 2021 Accepted 31 October 2021
The electrical, dielectric and magnetic effect of strontium-substituted spinel ferrites for high-frequency applications

Strontium-substituted spinel ferrites were prepared using the sol–gel method. The sample’s chemical formula was Cu1–x Sr x Fe2O4 (0.00, 0.20, 0.40, 0.60, 0.80 and 1.00). A cubic structure was discovered through X-ray diffraction (XRD) analysis. The lattice, constant, X-ray density and other structural parameters were increased with the substitution of strontium ion due to its larger ionic radius as compared with the ionic radius of manganese. It was discovered that the addition of strontium ions increased both activation energy and dc resistivity, whilst the decrease in resistivity with increasing temperature proved the semiconducting nature of samples. There was an abysmal disparity between the coerciveness and magnetization values. The permittivity was decreased with the addition of strontium ions. The low perittivity and high specific resistance suggested that prepared samples are suitable for high-frequency applications.
Isolation of Salmonella and E. coli (E. coli O157:H7) and its Antimicrobial Resistance Pattern from Bulk Tank Raw Milk in Sebeta Town, Ethiopia

These findings showed that raw milk from dairy cattle farms and collector’s bulk tank in Sebeta town was contaminated with public health important bacterial species like E. coli and Salmonella species and the observed resistant to certain antimicrobial drugs also needs attention. To ensure the quality of raw milk, stakeholders engaged in milk and dairy production chain should be trained on hygienic practices.
Effect of HfO2-Based Multi-Dielectrics on Electrical Properties of Amorphous In-Ga-Zn-O Thin Film Transistors

We report the fabrication of bottom gate a-IGZO TFTs based on HfO2 stacked dielectrics with decent electrical characteristics and bias stability. The microscopic, electrical, and optical properties of room temperature deposited a-IGZO film with varied oxygen content were explored. In order to suppress the bulk defects in the HfO2 thin film and hence maximize the quality, surface modification of the SiNx film was investigated so as to achieve a more uniform layer. The root mean square (RMS) roughness of SiNx/HfO2/SiNx (SHS) stacked dielectrics was only 0.66 nm, which was reduced by 35% compared with HfO2 single film (1.04 nm). The basic electrical characteristics of SHS-based a-IGZO TFT were as follows: Vth is 2.4 V, μsat is 21.1 cm2 V−1 s−1, Ion/Ioff of 3.3 × 107, Ioff is 10−11 A, and SS is 0.22 V/dec. Zr-doped HfO2 could form a more stable surface, which will decrease the bulk defect states so that the stability of device can be improved. It was found that the electrical characteristics were improved after Zr doping, with a Vth of 1.4 V, Ion/Ioff of 108, μsat of 19.5 cm2 V−1 s−1, Ioff of 10−12 A, SS of 0.18 V/dec. After positive gate bias stress of 104 s, the ΔVth was decreased from 0.43 V (without Zr doping) to 0.09 V (with Zr doping), the ΔSS was decreased from 0.19 V/dec to 0.057 V/dec, respectively, which shows a meaningful impact to realize the long-term working stability of TFT devices.
Spherical Lenses for Virtual Optic Experiments

While the mathematical modeling of optical phenomena, a computer calculation is often performed, confirming the conclusions made. To do this, a virtual computer model of the optical installation is created in the form of a 3D scene. Also, virtual scenes are often used in training when creating presentations. This paper describes computer models of spherical lenses and the calculation of interaction of linear polarized light rays with them. It is focused on applications that use ray tracing. It is known that light of any polarization can be represented on the basis of the mentioned one. The reflected and all rays passing through the lens that arise due to internal reflections are calculated from the ray incident on the scene object. The number of internal reflections is set by the parameter. All output rays are calculated based on the application of Fresnel’s equations and are characterized by intensity values and polarization parameters. We selected spherical lenses since they are most often used in optic installations. They are constructed on the basis of the application of the set-theoretic intersection of geometric primitives: a half-space, a sphere, a cone, a cylinder and their complements to the scene space. An advanced user can build their own objects by analogy, for example, cylindrical lenses.
Human Prediction of Robot’s Intention in Object Handling Tasks

Trained human workers can predict the intentions of other workers from observed movement patterns when working collaboratively. The intentions prediction is crucial to identify their future actions. In human-machine teams, predictable movement patterns can enhance the interaction and improve team performance. In this article, we investigated the eﬀects of diﬀerent robot trajectory characteristics on the early prediction performance in human-machine teaming and on perceived robot’s human-likeness. The results showed that humans can predict the robot’s intention quicker and more accurately when the observed robot’s trajectory was generated with relatively lower energy expenditure. We found that the amount of jerk and acceleration in the robot’s joint-space aﬀected perceived robot’s human-likeness.
Additive Manufacturing on Building Construction

The future of construction will be directly connected with additive manufacturing (AM). It is easy to see the lack of consistency between jobs, labour inefficiency, schedule delays, delays on material delivery, exceeding budget projections and high percentage of material waste. Over the years, additive manufacturing has been a constant topic of discussion, in order to understand the limitations, applications and the overall impact on the cost of construction. In this work it is intended to present/discuss opportunities and challenges and the potential of AM to revolutionize the industry.
Identifikasi Kesulitan Pemahaman Konsep Larutan Penyangga Siswa Di Gorontalo

Penelitian ini bertujuan untuk mendeskripsikan kesulitan pemahaman larutan penyangga siswa di Gorontalo, yang diukur dalam 5 aspek,yaitu: pengertian, prinsip kerja, pH dan pOH, pH asam basa,dan fungsi penyangga dalam tubuh manusia. Penelitian kuantitatif deskriptif ini dilakukan pada siswa kelas XI (N=215) di Gorontalo. Data dijaring dengan instrumen tiga tingkat. Hasil penelitian ditemukan bahwa aspek pH asam basa (96.5%) paling sulit di pahami siswa, dibandingkan aspek fungsi larutan penyagga dalam tubuh manusia (94.9%), pH dan pOH (89.3%), prinsip kerja (83.7%), pengertian (48.8%). Temuan ini mengindikasikan bahwa siswa belum memahami dengan baik dan benar konsep larutan penyangga. Hasil penelitian ini menjelaskan bahwa diperlukan pembelajaran remedial untuk menyiapkan materi pembelajaran selanjutnya
Comparison of Deep Neural Network Models and Effectiveness of EMG Signal Feature Value for Estimating Dorsiflexion

(1) Background: Robotic ankle–foot orthoses (AFO) are often used for gait rehabilitation. Our research focuses on the design and development of a robotic AFO with minimum number of sensor inputs. However, this leads to degradation of gait estimation accuracy. (2) Methods: To prevent degradation of accuracy, we compared a few neural network models in order to determine the best network when only two input channels are being used. Further, the EMG signal feature value of average rate of change was used as input. (3) Results: LSTM showed the highest accuracy. However, MLP with a small number of hidden layers showed results similar to LSTM. Moreover, the accuracy for all models, with the exception of LSTM for one subject (SD), increased with the addition of feature value (average rate of change) as input. (4) Conclusions: In conclusion, time-series networks work best with a small number of sensor inputs. However, depending on the optimizer being used, even a simple network can outrun a deep learning network. Furthermore, our results show that applying EMG signal feature value as an input tends to increase the estimation accuracy of the network.
Nonlinear Dynamics of Axial Flow Compressors: A Parametric Study

Abstract : This paper presents the analysis of the dynamics of a representative axial flow compressor model emphasizing the influence of two important control parameters. These are a nondimensional parameter B (previously introduced by Greitzer (1976) as a primary determinant of post-stall behavior) and the setting of the throttle line. Greitzer's lumped-parameter model is employed in this study, with a specific choice of compressor and throttle characteristics. Our analysis shows the presence of a rich variety of global as well as local bifurcations as the two control parameters are varied. The analysis leads to a characterization of compressor operation into three major zones: the stalled zone the pre-stall zone, and the normal (unstalled) zone. Simulation results demonstrate the qualitatively different dynamical behaviors within each regime of parameter space.
Seismic and Structural Analyses of the Eastern Anatolian Region (Turkey) Using Different Probabilities of Exceedance

Seismic hazard analysis of the earthquake-prone Eastern Anatolian Region (Turkey) has become more important due to its growing strategic importance as a global energy corridor. Most of the cities in that region have experienced the loss of life and property due to significant earthquakes. Thus, in this study, we attempted to estimate the seismic hazard in that region. Seismic moment variations were obtained using different types of earthquake magnitudes such as Mw, Ms, and Mb. The earthquake parameters were also determined for all provincial centers using the earthquake ground motion levels with some probabilities of exceedance. The spectral acceleration coefficients were compared based on the current and previous seismic design codes of the country. Additionally, structural analyses were performed using different earthquake ground motion levels for the Bingöl province, which has the highest peak ground acceleration values for a sample reinforced concrete building. The highest seismic moment variations were found between the Van and Hakkari provinces. The findings also showed that the peak ground acceleration values varied between 0.2–0.7 g for earthquakes, with a repetition period of 475 years. A comparison of the probabilistic seismic hazard curves of the Bingöl province with the well-known attenuation relationships showed that the current seismic design code indicates a higher earthquake risk than most of the others.
Potential influence of sea surface temperature representation in climate model simulations over CORDEX‐SEA domain

Regional climate simulations from the Southeast Asia Regional Climate Downscaling/Coordinated Regional Climate Downscaling Experiment – Southeast Asia (SEA) indicated model biases in temperature and rainfall over SEA. Given the influence of sea surface temperature (SST) variability on SEA climate, this study examines SST representation in climate models to investigate its potential contribution to the resulting model biases over the Philippines. Observed SST over SEA is first characterized by its spatial patterns and temporal variability. An analysis of the SST representation over SEA and its potential influence on modelled climate over the Philippines in Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs) is then conducted, followed by an assessment of the potential influence of SST representation in CMIP5 GCMs on downscaled regional climate output. Our results show that GCMs with well represented SSTs (i.e., low bias, well captured variability, and pattern) can produce climate simulations well over the Philippines. Whether or not the GCMs with poor SST representation can perform well is inconclusive. During boreal winter (summer), climate variables with high (low) spatial correlation with model SST get poor (better) spatial correlation with observed climate. Over west of the Philippines, where model SST seasonal variability is captured well, models also adequately simulate climate variables. Results suggest that the negative temperature biases, and positive precipitation and wind speed biases, in both GCMs and downscaled simulations, are associated with negative model SST biases. These findings give a better understanding on how SST potentially influences modelled climatology over the Philippines.
Virome Analysis of Signal Crayfish (Pacifastacus leniusculus) along Its Invasion Range Reveals Diverse and Divergent RNA Viruses

Crayfish are a keystone species of freshwater ecosystems and a successful invasive species. However, their pathogens, including viruses, remain understudied. The aim of this study was to analyze the virome of the invasive signal crayfish (Pacifastacus leniusculus) and to elucidate the potential differences in viral composition and abundance along its invasion range in the Korana River, Croatia. By the high-throughput sequencing of ribosomal RNA, depleted total RNA isolated from the crayfish hepatopancreas, and subsequent sequence data analysis, we identified novel and divergent RNA viruses, including signal crayfish-associated reo-like, hepe-like, toti-like, and picorna-like viruses, phylogenetically related to viruses previously associated with crustacean hosts. The patterns of reads abundance and calculated nucleotide diversities of the detected viral sequences varied along the invasion range. This could indicate the possible influence of different factors and processes on signal crayfish virome composition: e.g., the differences in signal crayfish population density, the non-random dispersal of host individuals from the core to the invasion fronts, and the transfer of viruses from the native co-occurring and phylogenetically related crayfish species. The study reveals a high, previously undiscovered diversity of divergent RNA viruses associated with signal crayfish, and sets foundations for understanding the potential risk of virus transmissions as a result of this invader’s dispersal.
What do Polish interventional cardiologists know about indications and qualification for recanalisation of chronic total coronary artery occlusions?

BACKGROUND Chronic total occlusions (CTO) are diagnosed in about 20% of patients with significant coronary artery disease. A disproportion between the high prevalence of CTOs and low rate of invasive treatment still exists. Technical difficulties, clinical uncertainties whether patients benefit from recanalisation, and a lack of knowledge of CTO may be responsible for this fact. AIM To assess the knowledge of coronary arteries CTO among Polish interventional cardiologists. METHODS A self-designed questionnaire was used during two major Polish invasive cardiology workshops held in 2014. RESULTS The study included 113 physicians, mostly cardiologists certified as independent operators. Average self-declared efficacy of CTO recanalisation was 63.5%. Most of the respondents agreed that the operator involved in the CTO recanalisation program should perform at least 30-50 procedures per year. Only 67% stated that before CTO revascularisation the evaluation of myocardial viability should be performed with dobutamine stress echocardiography as a preferred test. One third of the physicians agreed that CTO percutaneous coronary intervention (PCI) should not be performed directly after diagnostic angiography, and 51.5% believed that in patients with multi-vessel coronary artery disease PCI of CTO should be performed first. Multi-slice spiral computed tomography during the qualification and planning of the CTO revascularisation, in the opinion of 91% of the responders, should not be used before each procedure but could be useful in selected cases. CONCLUSIONS Polish interventional cardiologists remains in compliance with current opinions about recanalisation of chronic coronary artery occlusions and the consensus of the EuroCTO Club, but there is still an unceasing need for further education and promotion of knowledge about CTOs.
Enhanced Efficiency of the Removal of Cytostatic Anthracycline Drugs Using Immobilized Mycelium of Bjerkandera adusta CCBAS 930

The aim of this study was to evaluate the bioremoval of anthracycline antibiotics (daunomycin-DNR, doxorubicin–DOX, and mitoxantrone-MTX) by immobilized mycelium of B. adusta CCBAS 930. The activity of oxidoreductases: versatile peroxidases (VP), superoxide dismutase (SOD), catalase (CAT), and glucose oxidase (GOX), and the levels of phenolic compounds (PhC) and free radicals (SOR) were determined during the biotransformation of anthracyclines by B. adusta strain CCBAS 930. Moreover, the phytotoxicity (Lepidium sativum L.), biotoxicity (MARA assay), and genotoxicity of anthracyclines were evaluated after biological treatment. After 120 h, more than 90% of anthracyclines were removed by the immobilized mycelium of B. adusta CCBAS 930. The effective biotransformation of anthracyclines was correlated with detoxification and reduced genotoxicity.
On moment of velocity for signal analysis

The instantaneous frequency (IF) of a signal is a well-defined quantity that is widely used for analysing non-stationary signals. However, often in practice, IF as a function of time can possess large spikes and negative values. Moreover, IF is very sensitive to noise, limiting its range of practical application. Due to these deficiencies, we introduce the concept of moment of velocity (MoV) for signal analysis. As a case study, we compare the performance of MoV to a standard Hilbert transform-based approach for R-wave identification in human electrocardiogram signals, demonstrating that our approach is more robust to noise. We examine characteristic heartbeats obtained from the MIT-BIH Arrhythmia database. A detection error rate of 0.07%, a positive predictive value of 99.97%, and a sensitivity of 99.95% are achieved against analysis results from the database.