Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Analysis of Multispan Viaducts with Weak Coupling between Adjacent Spans

This paper deals with the dynamic analysis of multispan simply supported railway viaducts subjected to moving trains. In the anal- ysis, the Sesia viaduct is considered, which is a composite railway bridge consisting of seven isostatic spans. An experimental analysis shows that the modes of adjacent spans are connected because of the weak coupling through the ballast and rails. In this case, a model of the entire viaduct is needed for an accurate prediction of the dynamic response of the bridge during the passage of the train. To reduce the computational cost, two alternatives are investigated: a single-span model with adjusted boundary conditions and a component mode synthesis (CMS) reduced-order model comprising all seven spans. The two models are subsequently used for dynamic train-bridge interaction analysis. The predicted dynamic responses of the viaduct during a train passage with both models are in good agreement with the experimental results. Com- paredwiththesingle-spanmodel,thecouplingbetweenadjacentspansisbetterrepresentedbytheCMSmodeloftheentireviaduct.Inpractical engineering design, however, the single-span model with adjusted boundary conditions can be used to obtain a reasonably good representation of the dynamic behavior of the bridge. DOI: 10.1061/(ASCE)BE.1943-5592.0000476. © 2014 American Society of Civil Engineers. Author keywords: Multispan railway viaduct; Weak coupling; Component mode synthesis; Train-bridge interaction.
Pilot Point Methodology for Automated Calibration of an Ensemble of conditionally Simulated Transmissivity Fields: 1. Theory and Computational Experiments

A new methodology for solution of the inverse problem in groundwater hydrology is proposed and applied to a site in southeastern New Mexico with extensive hydrogeologic data. The methodology addresses the issue of nonuniqueness of the inverse solutions by generating an ensemble of transmissivity fields considered to be equally likely, each of which is in agreement with the measured transmissivity and pressure data. It consists of generating a selected number of conditionally simulated transmissivity fields and then calibrating each of the fields to match the measured steady state or transient pressures, in a least squares sense. The calibration phase involves an iterative implementation of an automated pilot point approach coupled with conditional simulations. Pilot points are the parameters of calibration. They are synthetic transmissivity data which are added to the transmissivity database to produce a revised conditional simulation during calibration. Coupled kriging and adjoint sensitivity analysis is employed for the optimal location of pilot points, and gradient search methods are used to derive their optimal transmissivities. The pilot point methodology is well suited for characterizing the spatial variability of the transmissivity field in contrast to methods using zonation. Pilot points are located where their potential for minimizing the objective function is the highest. This minimizes the perturbations in the transmissivities which are optimally assigned to the pilot point and results in minimal changes to the covariance structure of the transmissivity field. The calibrated fields honor the transmissivity measurements at their locations, preserve the variogram, and match the measured pressures in a least squares sense. Since there are numerous options in the execution of this methodology, computational experiments have been conducted to identify the most efficient among them. The method has been applied to the Waste Isolation Pilot Plant (WIPP) site, in southeastern New Mexico, where the U.S. Department of Energy is conducting probabilistic system assessment for the permanent disposal of transuranic nuclear waste. The resulting calibrated transmissivity fields are input to a Monte Carlo analysis of the total system performance. The present paper, paper 1 of a two-paper presentation, describes the methodology. Paper 2, a companion paper, presents the methodology's application to the WIPP site.
Lee-side Ventilation-induced Air Movement in a Large-scale Multi-span Greenhouse

Abstract Lee-side ventilation-induced air movement was experimentally investigated in a 1728 m 2 multi-span glasshouse. Air velocity measurements were performed by means of a customized multi-point two-dimensional sonic anemometer system which simultaneously measured the horizontal air velocity components parallel and normal to the ridge at 3 Hz frequency. The airflow pattern in the horizontal plane of a greenhouse was analysed qualitatively under different external wind conditions. The experimental results show both the vertical and the horizontal profiles of the normalized interior air speed as a function of the measurement height, the external wind speed and opening angle were acceptably presented by the simple linear functions. The airflow in the horizontal plane was of low turbulence with large eddies.
Comparative Analysis of Fine-tuned Deep Learning Language Models for ICD-10 Classification Task for Bulgarian Language

The task of automatic diagnosis encoding into standard medical classifications and ontologies, is of great importance in medicine - both to support the daily tasks of physicians in the preparation and reporting of clinical documentation, and for automatic processing of clinical reports. In this paper we investigate the application and performance of different deep learning transformers for automatic encoding in ICD-10 of clinical texts in Bulgarian. The comparative analysis attempts to find which approach is more efficient to be used for fine-tuning of pretrained BERT family transformer to deal with a specific domain terminology on a rare language as Bulgarian. On the one side are used SlavicBERT and MultiligualBERT, that are pretrained for common vocabulary in Bulgarian, but lack medical terminology. On the other hand in the analysis are used BioBERT, ClinicalBERT, SapBERT, BlueBERT, that are pretrained for medical terminology in English, but lack training for language models in Bulgarian, and more over for vocabulary in Cyrillic. In our research study all BERT models are fine-tuned with additional medical texts in Bulgarian and then applied to the classification task for encoding medical diagnoses in Bulgarian into ICD-10 codes. Big corpora of diagnosis in Bulgarian annotated with ICD-10 codes is used for the classification task. Such an analysis gives a good idea of which of the models would be suitable for tasks of a similar type and domain. The experiments and evaluation results show that both approaches have comparable accuracy.
Activist Learners’ Creative Thinking Processes in Posing and Solving Geometry Problem

This study aimed to describe the creative thinking process of students with active learning styles in proposing and solving problems on geometry material. The research instruments were Honey and Mumford's Learning Style Questionnaire (LSQ), problem-solving and submission test sheets, and interview guidelines. The LSQ questionnaire was distributed to students majoring in mathematics education at a university in Malang, Indonesia, with a total of 200 students. Students who have an active learning style and meet the specified criteria will be selected as research subjects. Based on research on creative thinking processes in proposing and solving problems in students with active learning styles, it was found that there were differences in behaviour between subject 1 and subject 2 at each stage of creative thinking. However, based on the researcher's observations of the behaviour of the two subjects at each stage of their thinking, there are similarities in behaviour, namely, they tend to be in a hurry to do something, prefer trial and error, and get ideas based on daily experience.
Exposure to Ambient Ultra-Fine Particles and Stroke

Stroke is one of the main causes of death attributed to air pollution. Significant research has now shown that urban air pollutants exposure has been established as a source of neuroinflammation and oxidative stress that causes Central Nervous System (CNS) disease. Transition metals, Particulate Matter (PM) including fine particles (PM ≤ 2.5 μm, PM 2.5) and ultra-fine particles (UFPs, PM <0.1 μm, PM 0.1), nitrogen oxide, and ozone are potent or oxidant that capable of producing Reactive Oxygen Species (ROS) can reach the brain and affect CNS health. Numerous biological mechanisms are responsible that are not well understood. Recent studies suggest that changes in the Blood-Brain Barrier (BBB) and or leakage and transmission along the olfactory nerve into the Olfactory Bulb (OB) and microglial activation are the key factors of CNS damage following exposure to air pollution. This preliminary review cites evidence that ambient PM exposure is one of the causes of stroke.
Hydraulic Analysis and Optimum Design of Multidiameter Irrigation Laterals

A new analytical continuous-uniform outflow approach that takes into account the effect of the number of outlets on the multidiameter lateral hydraulics is presented. The pressure head profile along the multidiameter pipeline is described by a simple analytical function providing direct calculation of the outlet pressure head along the pipeline. The method is significantly improved by introducing an adjusted spatially variable outflow equation—of power function form—for the errors caused by the assumption of equal outlet discharge. The effect of ground slope on hydraulic computation is also considered. Simple equations are derived for the direct calculation of the maximum, minimum, and inlet pressure head along the multidiameter pipeline. The optimum design problem for two-diameter laterals is also solved analytically. For specified total length of a two-diameter pipeline, a simple algebraic equation is derived to calculate directly the appropriate lengths of the reaches of different diameters in such a way that the total cost of the pipeline is minimized. Comparison tests with an accurate numerical stepwise method indicate that the proposed analytical approach is sufficiently accurate.
Herbal Infusions as a Valuable Functional Food

Herbal infusions are an underestimated and easy to intake a source of biologically active natural compounds (polyphenols), which, in the dissolved form, are more easily absorbed. Therefore, this study aimed to assess the potential of herbal infusions as a functional food to reduce postprandial hyperglycemia (inhibition of α-amylase and α-glucosidase) and to reduce the effects of increased blood glucose level (antioxidant effect-DPPH, CUPRAC, and Fe2+ chelating assays, as well as anti-inflammatory activity-inhibition of collagenase). We showed that polyphenols are present in the examined aqueous herbal infusions (including chlorogenic and gallic acids). Subsequently, our research has shown that herbal infusions containing cinnamon bark, mulberry leaves, and blackberry fruits most strongly inhibit glucose release from complex carbohydrates, and that all herbal infusions can, to different degrees, reduce the effects of elevated blood sugar. In conclusion, infusions prepared from herbal blends could be recommended to prevent type II diabetes.
Thermo-Physiological Comfort Properties of Sportswear with Different Combination of Inner and Outer Layers

Consumers expect high-performance functionality from sportswear. To meet athletic and leisure-time activity requirements, further research needs to be carried out. Sportswear layers and their specific thermal qualities, as well as the set and air layer between materials, are all important factors in sports clothing. This research aims to examine the thermal properties of sports fabrics, and how they are affected by structure parameters and maintained with different layers. Three inner and four outer layers of fabric were used to make 12 sets of sportswear in this study. Before the combination of outer and inner layers, thermal properties were measured for each individual layer. Finally, the thermal resistance, thermal conductivity, thermal absorptivity, peak heat flow density ratio, stationary heat flow density, and water vapor permeability of bi-layered sportswear were evaluated and analyzed. The findings show that sportswear made from a 60% cotton/30% polyester/10% elastane inner layer and a 100% polyester outer layer had the maximum thermal resistance of 61.16 (×103 K·m2 W−1). This performance was followed by the sample made from a 90% polyester/10% elastane inner layer and a 100% polyester outer layer, and the sample composed of a 100% elastane inner layer and a 100% polyester outer layer, which achieved a thermal resistance value of 60.41 and 59.41 (×103 K·m2 W−1), respectively. These results can be explained by the fact that thicker textiles have a higher thermal resistance. This high-thermal-resistance sportswear fabric is appropriate for the winter season. Sportswear with a 90% polyester/10% elastane inner layer had worse water vapor resistance than sportswear with a 60% cotton/30% polyester/10% elastane and a 100% elastane layer. Therefore, these sports clothes have a higher breathability and can provide the wearers with very good comfort. According to the findings, water vapor permeability of bi-layered sportswear is influenced by geometric characteristics and material properties.
A complete inspection plan for dependent multicharacteristic critical components

Here a complete inspection plan for critical components with several characteristics is designed for the case where the characteristics’ defective rates are statistically dependent. The plan minimizes total expected cost resulting from type-I and II errors and the cost of inspection. A mathematical model and an algorithm for obtaining the optimal number of repeat inspections are developed and demonstrated by an example. The output of the model is an optimal inspection plan to control the quality of critical components.
Radio Frequency Performance of Hetero-Gate-Dielectric Tunneling Field-Effect Transistors

Radio frequency (RF) performances of hetero-gate-dielectric tunneling field-effect transistors (HG TFETs) have been compared with those of SiO2-only and high-k-only TFETs in terms of fT, fmax, gate capacitance, channel resistance, and transconductance. HG TFETs can have higher fT/fmax and smaller switching time than SiO2-only TFETs and high-k-only TFETs because they have higher gm and current drivability than SiO2-only TFET and smaller gate capacitance than high-k-only TFET.
Optical channel waveguide in chalcogenide (Ga:La:S) glass

A novel method for fabricating optical channel waveguides in Ga:La:S chalcogenide glass, through continuous wave direct UV laser writing (/spl lambda/=244 nm) is reported. Well-formed single-mode channel structures, with low propagation losses of 0.38/spl plusmn/0.05 dB/cm at 1.3 /spl mu/m, were engineered using this technique.
Dimensionless parameters for lidar performance characterization

A set of three dimensionless parameters is proposed to characterize lidar systems. Two of them are based on an asymptotic approximation of the output signal-to-noise ratio as a function of the input optical power reaching the photoreceiver when there is no background radiation. Of these, one is defined as the ratio between the input signal power level coming from a reference range in a reference atmosphere (reference power level) and the input power level that would produce a reference output signal-to-noise ratio if the photoreceiver operated always in signal-shot noise limited regime. The other is defined as the ratio between the reference power level and the input power level for which the signal-induced shot noise power equals the receiver noise power. A third parameter, defined as the ratio between the background optical power at the photoreceiver input and the reference power level, quantifies the effect of background radiation. With these three parameters a good approximation to the output signal-to-noise ratio of the lidar can be calculated as a function of the power reduction with respect to the power reaching the photodetector in the reference situation. These parameters can also be used to compare and rank the performance of different systems.
AN EFFECTIVE TOTAL CONSTRUCTION SAFETYMANAGEMENT IN INDIA

Construction safety management has always been a big issue in india. Though much improvement in construction safety has been achieved, india still continues to lag behind most other countries with regard to safety. The safety in construction of any organization consists of employee’s attitudes towards and perceptions of health and safety behavior. Construction safety are influenced by perceptions of risk, management, safety rules and procedures of the workers. A measure of safety management could be used to identify those areas of safety that need more attention and improvement. The dynamic nature of safety management, which has the ability to change on daily basis, means there is a great need for reliable tools that can measure safety climate. Safety management is a leading performance indicator that can provide insight into safety performance before accidents have occurred. In this paper, several construction safety techniques were used for the safety of major construction organizations across India involved in construction of Thermal power plants, Hydro power plants, Highway projects, Bridge works, Refinery works, High rise works, Pipe line works and Dam woks and its content validity was verified. These techniques are very much useful for the safety construction. Moreover, Total Construction Safety Management (TCSM) is proposed for the effective construction safety in india. Safety climate is used for the evaluation of the TCSM.
Low resistance joint of the YBCO coated conductor

We achieved a very low resistance at 0.02 ~ 0.03 µΩ (12 nΩcm2) across the nonsuperconducting joint with an area of 2 × 20 mm2 for YBCO coated conductors produced by pulsed laser deposition (PLD). The joint technique was very simple in which YBCO coated conductors were stuck in a face to face manner with Ag surfaces in contact and heat-treated at 500°C in an oxygen atmosphere. We also confirmed that the good superconducting properties of the YBCO coated conductors were maintained after completion of the series of joint procedures. Furthermore, a low contact resistance of 0.5 nΩcm2 at the interface between the YBCO film and the Ag stabilizing layer was confirmed.
Contribution of Fine Aggregate Angularity and Particle Shape to Superpave Mixture Performance

The Superpave system is being implemented by state highway agencies. Many states implemented the asphalt binder specification during 1997. The volumetric mix design system, however, is being actively implemented. By the end of 1997, more than 200 Superpave projects had been built in the United States. As states consider specification changes necessitated by Superpave implementation, some questions are being raised. Fine aggregate angularity (FAA) requirements, one of the aggregate consensus properties, has generated considerable debate in some areas of the country. Adopting an FAA requirement of 45 percent for high traffic pavements has changed the number of sources available for asphalt mixtures. Superpave also provides a limit on flat and elongated particles. The aggregate properties requirements have increased interest regarding the basis of the specification and the values specified. The results of a limited cooperative study by industry and agencies to evaluate the role of FAA and particle shape on asphalt mixture properties are presented. A Superpave mixture design for high equivalent single-axle loads was evaluated. The fine aggregate used in the mixture design, with an FAA of 48, was replaced by other fine aggregates with lower FAA values. Properties of the mixtures containing the different fine aggregates were evaluated by using the asphalt pavement analyzer, the couch wheel tracker (a variation of the Hamburg rut tester), and the Superpave simple shear tester. A study to evaluate the sensitivity of the Superpave gyratory compactor and the Superpave mixture design system to differences in particle shape also is presented.
An active power filter with harmonic detection method based on recursive DFT

In this paper, an active filter with a harmonic detection method based on the recursive DFT is proposed. The main features of the recursive DFT are that: (1) it gives directly the harmonic waveform to be compensated; (2) it has a fast response suitable for the tracking of time-varying harmonics; (3) it can be used to detect only specific or all harmonic components with high accuracy; and (4) it requires only a few calculations and can be implemented in real-time. As for a balanced three-phase three-wire system, a new recursive DFT which uses only 1/6 of the data points of the usual DFT is also developed to reduce the response time further. An instability or loss of detectability phenomena in the implementation of the recursive DFT, caused by the coefficient quantization, is pointed out and a remedy is also given. The good filtering and tracking characteristics of the proposed active filter are verified by experiments.
Moving the mountain and greening the sea: the micropolitics of speculative green urbanism at Forest City, Iskandar Malaysia

ABSTRACT While green urbanism has been discussed extensively in the urban studies literature, less attention has been paid to the micropolitics of its cross-border transplantation. Using the case of Forest City, a mainland Chinese developer-led mega-project in the Iskandar Malaysia, we analyze the different ways green urbanism has been deployed in speculative city-making. The state seeks to position Iskandar Malaysia as greener than its global competitors, while the developer consolidates its brand image and marketing aesthetics with selective “green and smart” techniques, yet at the cost of local residents’ habitat. In moving mountains to green the sea, the logic of speculative urbanization prevails and presides over sustainable and equitable green urbanism. Further attention to the complex local power nexus and the micropolitics of speculative green urbanism contextualizes different stakeholders’ rationales and practices, and contributes to critical reflections on the entanglement of green urbanism and speculative urbanization.
The effect of progressive muscle relaxation training on chemotherapy-induced nausea, vomiting and anxiety in Egyptian breast cancer women: A randomized controlled trial

Background and objective: This study was conducted to examine the effect of progressive muscle relaxation training (PMRT) in combination with antiemetic drugs on chemotherapy-associated nausea, vomiting and anxiety in breast cancer women receiving chemotherapy.Methods: A randomized controlled trial design was conducted on 74 patients divided into control (n = 37) and PMRT group (n = 37). The study was conducted at Oncology Center affiliated to Mansoura University, Egypt. The intervention included daily PMRT practice for seven days two hours before chemotherapy. The patients exercised in the oncology unit with the researcher, and individually applied the exercises at home. The data was collected using Rhodes index of nausea-vomiting and retching used daily after chemotherapy for seven days and Zung self-rating anxiety scale used before chemotherapy and at the seventh and 14th days after chemotherapy.Results: A significant decrease in the frequency, severity, and duration of vomiting, nausea, retching and anxiety in PMRT group than in the control group (p < .0001). Conclusions: Progressive muscle relaxation combined with antiemetics was effective in reducing vomiting, nausea, and retching, as well as improving anxiety level induced by chemotherapy.