Miracle-dz/UniFAR-FTUs huggingface dataset:
Application Effect of Intelligent Monitoring of Emergency Nursing Process Reengineering in the Thrombolytic Therapy of Acute Myocardial Infarction

The application of emergency nursing process in intravenous thrombolytic therapy for patients with acute myocardial infarction was discussed. 100 patients with ST segment elevation myocardial infarction who met the inclusion and exclusion criteria were selected for intravenous thrombolysis. 50 patients with ST segment elevation myocardial infarction were treated from December 2018 to June 2019. The first-aid time and treatment effect of the two groups were compared. The results showed that the first aid time in the optimized process group was less than that in the conventional flow group (P < 0.05); the ECG rate was higher within 10 min than that in the conventional flow group (P < 0.05). It indicates that standardized and meticulous nursing procedures can avoid repetition and omissions and improve work efficiency. The application of the emergency care process in the emergency care of patients with acute myocardial infarction can win more rescue time and then improve the success rate of their rescue.
Bioactivity Potential of Industrial Sunflower Meal Ethanol-Wash Solute Obtained as Waste from Protein Isolation Process

Industrial sunflower meal is rich in secondary metabolites, which negatively influence the quality and functional properties of respective protein isolates. To reduce their quantity, sunflower meal was subjected to a four-step treatment with 75% aqueous ethanol solution. The ethanol-wash liquids were collected, concentrated, and freeze-dried to prepare powdery sunflower meal ethanol-wash solute (SEWS). Otherwise considered waste from the main process of protein isolation, the SWES was turned into a novel product containing macrocomponents, microelements, and bioactive compounds. It was found to be rich in carbohydrates (62.14%), lipids (7.73%), and bioactive compounds such as phenols (16.38%) and flavonoids (4.41%). Gas Chromatography-Mass Spectrometry (GC–MS) analyzes revealed prevalence of sucrose (14.01%), linoleic acid (12.10%), and chlorogenic acid (85.41%) based on total ion current (TIC) of polar, nonpolar, and phenolic compounds, respectively. The SEWS was found to be rich in microelements with iron (259.02 mg/kg) and copper (109.36 mg/kg) being the highest amounts. The product contained 0.10 mg/kg selenium. Scavenging of 2,2-diphenyl-1-picrylhydrazyl (DPPH) radicals increased with the increase in SEWS concentrations and reached 52.3% and 69% for 0.05% SEWS when dissolved in water and 70% ethanol, respectively. The highest hydroxyl radical scavenging activity (52.4%) was achieved at 0.1% SEWS. For all studied concentrations (0.005% to 0.1%), the SEWS exhibited a higher inhibition capacity than mannitol, which was used as a positive control. The SEWS demonstrated inhibiting properties against Gram (+) Curtobacterium flaccumfaciens PM-YT and Fusarium moniliforme ATCC 38932 fungus. The obtained results outline the SEWS as a natural product with bioactive properties that might be useful in the agriculture, food, and nutraceutical industries.
MSE and FAMIX 3.0: an Interexchange Format and Source Code Model Family

Software systems exceeding a certain critical size easily become difficult to maintain and adapt. Requirements change, platforms change and if a system does not evolve properly, its usefulness will decay over time. This document presents MSE a robust, scalable, extensible interexchange format and FAMIX 3.0 a family of metamodels to represent source code.
Obesity Measures as Predictors of Type 2 Diabetes and Cardiovascular Diseases among the Jordanian Population: A Cross-Sectional Study

Obesity is strongly associated with cardiovascular diseases (CVD) and type 2 diabetes (T2D). This study aimed to use obesity measures, body mass index (BMI) and waist circumference (WC) to predict the CVD and T2D risk and to determine the best predictor of these diseases among Jordanian adults. A cross-sectional study was conducted at the governmental and military hospitals across Jordan. The study participants were healthy or previously diagnosed with CVD or T2D. The continuous variables were compared using ANOVA, and the categorical variables were compared using the X2 test. The multivariate logistic regression was used to predict CVD and T2D risk through their association with BMI and WC. The final sample consisted of 6000 Jordanian adults with a mean age of 41.5 ± 14.7 years, 73.6% females. The BMI (OR = 1.7, CI: 1.30–2.30, p < 0.001) was associated with a higher risk of T2D compared to WC (OR = 1.3, CI: 1.04–1.52, p = 0.016). However, our results showed that BMI was not associated with CVD risk, while the WC was significantly and positively associated with CVD risk (OR = 1.9, CI: 1.47–2.47, p < 0.001). In conclusion, an elevated BMI predicts a higher risk of T2D, while WC is more efficient in predicting CVD risk. Our results can be used to construct a population-specific intervention to reduce the risk of CVD and T2D among adults in Jordan and other countries with similar backgrounds.
Grid Types Used to Strengthen Reinforced Concrete Panels Subjected to Impact Loading

The protection of existing reinforced concrete structures against impact loads, the effects of blast, or both, has become a major concern of researchers and engineers. Sudden impacts and release of high-speed loads, such as those from bullets, fragment bombs, and bare explosive charges, can generate high pressures on structures, resulting in fragmentation that can cause serious damage, injuries, and casualties. Results from an experimental investigation performed on reinforced concrete slabs retrofitted with different grids and polypropylene, polyethylene, and steel meshes are presented. The testing program includes impact tests using a falling weight and fragmentation simulation using an air gun. These tests were conducted on square concrete panels with dimensions of 600 × 600 × 100 mm. Deflections and depths of penetration were measured, as were applied and absorbed kinetic energy and the kinetic energy of the resulting concrete fragments. Damage and mode of failure due to post-impact were also observed and recorded. Results and analysis of the data and observations showed that the concrete panels retrofitted with a combination of steel mesh and polyethylene grid provided the most promising retrofitting protection when compared with other options.
Ambient energy harvesting based on coupling effects in materials : applications in buildings

The aim of this study is to investigate ambient energy harvesting with coupling effect of piezoelectric, pyroelectric and thermoelectric materials. Three basic problems lie in an energy harvesting process with these coupling effects: (i) design and optimize a structure which is able to accumulate the micro-power from the energy source and transform it into the favorable loading on the active material, (ii) improve the energy conversion efficiency according to the suitable choice of material properties and (iii) develop an energy harvesting circuit which is able to improve the energy conversion efficiency. The developed approach was experimental and numerical studies at first in laboratory conditions for deep understanding of energy harvesting process and then in outside conditions for verifying actual performance of the realized devices. On the thermoelectric coupling effect, a new method of harvesting solar and ambient energy is presented. The method is based on thermoelectric and both sensitive and latent heat effects for energy harvesting day and night. A maximum power generation of 1Wm-2 is achieved with thermoelectric material (Bi2Te3). On the pyroelectric effect, the inherent fluctuation with time of the natural wind speed was used. A maximum time variation of temperature of 16°C/minute was achieved which corresponds to an average power of 0.6mWm-2. On the piezoelectric effect, a mechanical structure which is enlightened from harmonica was developed and dynamic fluid-structure problems were addressed. The developed prototype begins to work for wind speed around 2ms-1 and a maximum power generation of 8.9mWm-2 was achieved. Ultimately, a typical building application (automatic control of water cooling photovoltaic panel) with the harvested solar thermal energy is introduced. The proposed application highlights an example of using harvested micro-energy to improve macro-energy production (around 10%).
A Dual-Frequency Cloud Radar for Observations of Precipitation and Cloud in Tibet: Description and Preliminary Measurements

A new dual-frequency Doppler polarimetric cloud radar (DDCR), working at 35-GHz (Ka-band radar, wavelength: 8.6 mm) and 94-GHz (W-band radar, wavelength: 3.2 mm) frequencies, has been in operation at Yangbajing Observatory on the Tibetan Plateau (China) for more than a year at the time of writing. Calculations and field observations show that the DDCR has a high detection sensitivity of −39.2 dBZ at 10 km and −33 dBZ at 10 km for the 94-GHz radar and 35-GHz radar, respectively. The radar reflectivity measured by the two radars illustrates different characteristics for different types of cloud: for precipitation, the attenuation caused by liquid cloud droplets is obviously more serious for the 94-GHz radar than the 35-GHz radar (the difference reaches 40 dB in some cases), and the 94-GHz radar lost signals due to serious attenuation by heavy rainfall; while for clouds dominated by ice crystals where the attenuation significantly weakens, the 94-GHz radar shows better detection ability than the 35-GHz radar. Observations in the Tibetan region show that the 35-GHz radar is prone to missing cloud near the edge, such as the cloud-top portion, resulting in underestimation of the cloud-top height (CTH). Statistical analysis based on one year of observations shows that the mean CTH measured by the 94-GHz radar in the Tibetan region is approximately 600 m higher than that measured by the 35-GHz radar. The analysis in this paper shows that the DDCR, with its dual-frequency design, provides more valuable information than simpler configurations, and will therefore play an important role in improving our understanding of clouds and precipitation in the Tibetan region.
Design of electromagnetic shock absorbers for automotive suspensions

Electromechanical dampers seem to be a valid alternative to conventional shock absorbers for automotive suspensions. They are based on linear or rotative electric motors. If they are of the DC-brushless type, the shock absorber can be devised by shunting its electric terminals with a resistive load. The damping force can be modified by acting on the added resistance. To supply the required damping force without exceeding in size and weight, a mechanical or hydraulic system that amplifies the speed is required. This paper illustrates the modelling and design of such electromechanical shock absorbers. This paper is devoted to describe an integrated design procedure of the electrical and mechanical parameters with the objective of optimising the device performance. The application to a C class front suspension car has shown promising results in terms of size, weight and performance.
Multi-Nozzle Abrasive Water Jet for Oil and Gas Platforms Decommissioning: A Review

Decommissioning offshore platforms present unique safety and health challenges to the oil and gas industry. In the Malaysian waters, there are over 300 fixed jacket platforms, and most of them exceeded the design service life of 25 to 30 years. One of the key challenges that determine the method of removal of aged jacket platforms is subsea cutting techniques. As underwater cutting is a challenging and expensive task, it is very much essential to develop cost-effective cutting techniques for decommissioning fixed jacket platforms. Thus, the objective of this paper is to present the state of art on Abrasive Water Jet (AWJ) cutting techniques by identifying the most significant parameters affecting the performance output measures for decommissioning of Jacket platforms applications. As the cutting process is very complex and times consuming tasks, the paper identifies research gaps and recommends new research areas in Multi Nozzles Abrasive Water Jet (MN-AWJ) for decommissioning applications. Many parameters are affecting the performance of AWJ that is why an in-depth critical review was adopted in this manuscript to determine the most significant parameters that need to be considered in the optimization of AWJ performance.
Workload management in the EMI project

The EU-funded project EMI, now at its second year, aims at providing a unified, high quality middleware distribution for e-Science communities. Several aspects about workload management over diverse distributed computing environments are being challenged by the EMI roadmap: enabling seamless access to both HTC and HPC computing services, implementing a commonly agreed framework for the execution of parallel computations and supporting interoperability models between Grids and Clouds. Besides, a rigourous requirements collection process, involving the WLCG and various NGIs across Europe, assures that the EMI stack is always committed to serving actual needs. With this background, the gLite Workload Management System (WMS), the meta-scheduler service delivered by EMI, is augmenting its functionality and scheduling models according to the aforementioned project roadmap and the numerous requirements collected over the first project year. This paper is about present and future work of the EMI WMS, reporting on design changes, implementation choices and longterm vision.
Three‐dimensional quantitative analysis on granular particle shape using convolutional neural network

To identify all desired shape parameters of granular particles with less computational cost, this study proposes a three‐dimensional convolutional neural network (3D‐CNN) based model. Datasets are made of 100 ballast and 100 Fujian sand particles, and the shape parameters (i.e., aspect ratio, roundness, sphericity, and convexity) obtained by conventional methods are used to label all particles. For the model training, by feeding the slice images of particles into the model, the contour of particles is automatically extracted, thereby the shape parameters can be learned by the model. Thereafter, the model is applied to predict shape parameters of new particles as model testing. All results indicate the model trained based on slice images cut from three orthogonal planes presents the highest prediction accuracy with an error of less than 10%. Meanwhile, the accuracy for concave and angular particles can be guaranteed. The rotation‐equivariant of the model is confirmed, in which the predicted values of shape parameters are roughly independent of orientations of the particle when cutting slice images. Superior to conventional methods, all desirable shape parameters can be obtained by one unified 3D‐CNN model and its prediction is independent of particle complexity and the number of triangular facets, thus saving computation cost.
Analysis and enhancement of human–machine interfaces using a joystick controller

This article deals with performance evaluation of human operations in point-to-point displacement tasks using a joystick. Analysis of operator outputs during an experimental task revealed a pattern of partially overlapping submovements with predictable velocity characteristics and forms. A velocity-dependent gain control added to the joystick–cursor interface improved performance when compared to a conventional linear transformation. This control algorithm can be recommended for many similar human–machine interfaces. A specific performance evaluation was applied to estimate the characteristics of different remote control designs. This approach can be used for evaluating human–machine systems. © 2000 John Wiley & Sons, Inc.
Station-Keeping Control of Autonomous and Remotely-Operated Vehicles for Free Floating Manipulation

This paper investigates the station-keeping control of autonomous and remotely-operated vehicles (ARVs) for free-floating manipulation under model uncertainties and external disturbances. A modified adaptive generalized super-twisting algorithm (AGSTA) enhanced by adaptive tracking differentiator (ATD) and reduced-order extended state observer (RESO) is proposed. The ATD is used to obtain the smooth reference signal and its derivative. The RESO is used to estimate and compensate for the model uncertainties and external disturbances in real-time, which enhances the robustness of the controller. The modified AGSTA ensures the fast convergence of the system states and maintains them in a predefined neighborhood of origin without overestimating control gains. Besides, the proposed new variable gain strategy completely avoids the control gains vibrating near the set minimum value. Thanks to the RESO, the proposed controller is model-free and can be easily implemented in practice. The stability of the closed-loop system is analyzed based on Lyapunov’s direct method in the time domain. Finally, the proposed control scheme is applied to the station-keeping control of Haidou-1 ARV, and the simulation results confirm the superiority of the proposed control scheme over the original AGSTA.
Microbial biofilms and some aspects of anti-inflammatory drug use

The review presents literature data on the effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on the formation of bacterial biofilms. The role of biofilm structures as a factor of virulence of microorganisms is shown, and the protective reactions of a macroorganism in infectious processes caused by bacteria — producers of biofilms are characterized. The article also provides the examples of methods for studying biofilm formation and strategies for managing this process. The prospects of further study of the complex interaction between bacterial pathogens in biofilms are shown, which may help to develop further therapeutic strategies against the biofilm-dependent infections.
Bioplastic Production by Bacillus wiedmannii AS-02 OK576278 Using Different Agricultural Wastes

Polyhydroxybutyrates (PHBs) are macromolecules synthesized by bacteria. Because of their fast degradability under natural environmental conditions, PHBs were selected as alternatives for the production of biodegradable plastics. Sixteen PHB-accumulating strains were selected and compared for their ability to accumulate PHB granules inside their cells. Isolate AS-02 was isolated from cattle manure and identified as Bacillus wiedmannii AS-02 OK576278 by means of 16S rRNA analysis. It was found to be the best producer. The optimum pH, temperature, and incubation period for the best PHB production by the isolate were 7, 35 °C, and 72 h respectively. PHB production was the best with peptone and glucose as nitrogen and carbon sources at a C/N ratio of (2:1). The strain was able to accumulate 423, 390, 249, 158, and 144 mg/L PHB when pretreated orange, mango, banana, onion peels, and rice straw were used as carbon sources, respectively. The extracted polymer was characterized by Fourier transform infrared (FTIR), nuclear magnetic resonance (NMR), and GC-MS spectroscopy, which confirmed the structure of the polymer as PHB. The isolate B. wiedmannii AS-02 OK576278 can be considered an excellent candidate for industrial production of PHB from agricultural wastes.
Effectiveness of a Rigid Grate for Excluding Pacific Halibut, Hippoglossus stenolepis, From Groundfish Trawl Catches

ibut bycatch limits are reached and, as a result, substantial quantities of ground­ fish remain unharvested each year. Flatfish fishermen have long been in­ terested in developing gear modifica­ tions to reduce this bycatch and allo w increases in fishing time and harvests. Some have developed their own de­ signs for halibut excluders. 1 Most of these excluders put a size selection panel across the trawl a short distance ahead of the codend. Holes in the panel are large enough to allow smaller target species to pass but will exclude the much larger halibut, which are guided toward an escape slot. The performance of these excluders had not been sci­ entifically evaluated. Although the ad hoc experience of these fishermen con­ vinced some that these excluders were effective in particular fisheries, the need was seen for scientific evaluations of at least one excluder’s selectivity. Costs associated with the intensive catch sam­ pling and experimental design, which were necessary for such evaluations, were well beyond what any single fish­ ing operation could reasonably manage during an open fishery. In 1998, the Groundfish Forum, an organization representing groundfish trawl catcher/processors that fish in Alaska waters, obtained a National Marine Fisheries Service (NMFS) ex­ empted fishing permit to test system­ atically the exclusion of halibut from flatfish trawls with a selected industry device. The work was done in coopera­ tion with NMFS, which provided assis­
Integrated power and rate control for data applications over CDMA wireless networks

An integrated power and rate control (IPRC) algorithm is proposed. The IPRC algorithm can achieve the pre-specified rate for each user. Simulation results reveal that the IPRC algorithm results in larger throughput than the power control algorithm with outages and the number of iterations can be increased to further increase the throughput.
Personality traits in post-COVID syndrome

Background. We aimed to evaluate personality traits in patients with post-COVID syndrome, as well as the association with neuropsychiatric symptoms present in this disorder.Methods. The Big Five Structure Inventory was administered to 93 consecutive patients with a diagnosis of post-COVID syndrome and to matched controls. We also performed a comprehensive evaluation of depression, anxiety, fatigue, sleep quality, cognitive function, and olfactory function.Results. Patients with post-COVID syndrome scored lower for emotional stability, equanimity, positive mood, and self-control. Extraversion, emotional stability, and openness correlated negatively with anxiety and depression levels. Conscientiousness correlated negatively with anxiety. No statistically significant correlations were observed between personality traits and cognitive function, sleep quality, olfactory function, or fatigue. Personality scores explained 36.3% and 41% of the variance in scores on the anxiety and depression scales, respectively. Two personality profiles with lower levels of emotional stability were associated with depression and anxiety.Limitations. This study has a cross-sectional design, and personality was evaluated during post-COVID syndrome and not before the onset of the disease. Conclusions. Our study shows higher levels of neuroticism in patients with post-COVID syndrome. Personality traits were predictive of the presence of depression and anxiety, but not cognitive function, sleep quality, or fatigue, in the context of post-COVID syndrome. These findings may have implications for the detection of patients at risk of depression and anxiety in post-COVID syndrome, and for the development of preventive and therapeutic interventions.