Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Migration Law of Mn in Mudstone
Floor in the Goaf under Coupling Conditions
of Seepage and Stress

In recent years, as one of the green coal mining technologies, coal gangue filling and coal mining technology has been widely used. The coal gangue filling body in goaf may be in an acidic or alkaline mine water environment for a long time, and the rich heavy metal elements in coal gangue may pollute the groundwater environment. In order to predict the migration distance of heavy metal elements in the goaf floor more accurately, this paper first designed the coal gangue static immersion experiment. By using ICP, the concentration of heavy metal elements in the soaking solution was tested, and then the permeability stress sensitivity of mudstone was tested. Finally, based on the above experimental results, the numerical simulation model for migration of heavy metals in coal gangue under the condition of seepage-stress coupling was established by using COMSOL multiphysics, and the concentration distribution and seepage law of heavy metals in the mudstone floor of goaf were analyzed with Mn element as an example. The research results showed that the heavy metals with pollution risk in coal gangue soaking liquid were beryllium (Be) and manganese (Mn). The diffusion distance of heavy metal elements in all stress states was 9.537 m when using the traditional model. When calculating after combining with the modified model of permeability stress sensitivity analysis, when the stress states were 0 MPa, 3 MPa, 6 MPa, 9 MPa, 12 MPa and 15 MPa, the diffusion distance of heavy metal elements was 9.326 m, 6.748 m, 5.9 m, 5.657 m, 5.558 m and 5.55 m, respectively, and the reduction rate was 2.21%, 29.24%, 38.14%, 40.68%, 41.72% and 41.80%, respectively. The migration and concentration distribution of heavy metal elements were predicted more accurately, which provided a basis for predicting and evaluating the impact risk of coal gangue on groundwater in filling coal mining goaf.
Study and information skills in schools

Study and information skills enable pupils to formulate a question, find possible sources from which to answer it, extract relevant information, and present their findings in a suitable form. What can teachers do to help pupils help to acquire these skills? Concentrating on pupils at secondary level, this book identifies various stages in the processes of assimilating information, and examines in depth the implications of the research findings for teachers, curriculum innovators and senior staff. This book should be of interest to /OREAD.
Model-free robust finite-time force tracking control for piezoelectric actuators using time-delay estimation with adaptive fuzzy compensator

A robust and practical force control system is crucial to the sensitive piezo-driven micromanipulation applications. This paper presents a new model-free robust finite-time force tracking controller for piezoelectric actuators (PEAs). The proposed controller composes of three intuitive terms: (1) a time-delay estimation (TDE) term that eliminates the requirement of detailed information about the PEA system, realizing model-free control; (2) a fast integral terminal sliding mode-based desired error dynamics injection term that ensures fast convergence and high tracking precision; (3) a correcting term based on adaptive fuzzy logic system that compensates for TDE errors caused by discontinuous nonlinearities and improves the robustness of the system. Force differential signal used in the controller is estimated online by a force state estimator. Stability of the closed-loop system and finite-time convergence are analyzed in theory. Comparative experiments are carried out on a PEA system with two superposed PEAs. Results show that the proposed control strategy has faster convergence, higher tracking accuracy and stronger robustness compared with the traditional TDE-based force controllers.
Opportunistic in-vehicle noise measurements assess road surface quality to improve noise mapping : preliminary results from the MobiSense project

The quality of road pavements affects noise emission caused by tire-road interactions. This in turn affects the health and well-being of residents near these roads. Road pavement quality degrades over time due to wear, accidents, and infrastructure works. These local features are usually not included in noise mapping due to the lack of high-quality information on pavements with enough spatial resolution. The aim of Mobisense is to assess the quality of the road surface by performing opportunistic noise and vibration measurements inside vehicles that are on the road for other purposes than road quality measurement. In the demonstrator phase of the project, 20 vehicles collect data while the drivers make their usual trips. Measurements from all vehicles are combined using machine learning techniques. This removes engine noise, corrects for vehicle specific speed dependence, and finally determines a rolling noise proxy in third-octave bands. This rolling noise correction includes the effect of pavement type as well as the effect of road surface degradation. This local variation in road surface quality is included as a correction in the rolling noise component of CNOSSOS and used to calculate a subset of the noise map for the Flemish region in Belgium. Including road surface quality in this way changes noise maps locally over a range of 6 dBA.
The crystal structure of the zwitterionic co-crystal of 2,4-dichloro-6-{[(3-hydroxypropyl)azaniumyl]methyl}phenolate and 2,4-dichlorophenol

The title compound was isolated serendipitously as the co-crystal of 2,4-dichlorophenol and 2,4-dichloro-6-{[(3-hydroxypropyl)azaniumyl]methyl}phenolate in its zwitterionic form, from an incomplete Mannich condensation. The co-crystal is held together by extensive intra- and intermolecular hydrogen bonds as well as π–π interactions.
Road Rutting Measurement Using Mobile LiDAR Systems Point Cloud

Road rutting caused by vehicle loading in the wheel path is a major form of asphalt pavement distress. Hydroplaning and loss of skid resistance are directly related to high road rutting severity. Periodical measurements of rut depth are crucial to maintenance and rehabilitation planning. In this study, we explored the feasibility of using point clouds gathered by Mobile LiDAR systems to measure the rut depth. These point clouds that are collected along roads are usually used for other purposes, namely asset inventory or topographic survey. Taking advantage of available clouds to identify rutting severity in critical pavement areas can result in considerable economic and time saving and thus, added value, when compared with specific expensive rut measuring systems. Four different strategies of cloud points aggregation are presented to create the cross-section of points. Such strategies were established to improve the precision of individual sensor measurements. Despite the 5 mm precision of the used system, it was possible to estimate rut depth values that were slightly inferior. The rut depth values obtained from each cross-section strategy were compared with the manual field measured values. The cross-sections based on averaged cloud points sensor profile aggregation was revealed to be the most suitable strategy to measure rut depth. Despite the fact that the study was specifically conducted to measure rut depth, the evaluation results show that the methodology can also be useful for other mobile LiDAR point clouds cross-sections applications.
Intervalos de previsão em modelos ARFIMA utilizando a metodologia Bootstrap

Os metodos tradicionais de construcao de intervalos de previsao para series temporais assumem que os parâmetros do modelo sao conhecidos e os erros normais. Quando estas suposicoes nao sao verdadeiras, o intervalo de previsao possui cobertura abaixo da nominal. Este trabalho propoe a utilizacao da metodologia bootstrap para construir intervalos de previsao com cobertura mais proxima da nominal. Dois intervalos bootstrap sao utilizados, o intervalo PRR e o intervalo EPB. O intervalo PRR e uma adaptacao para o modelo ARFIMA do intervalo homonimo proposto por Pascual et al. (2004) para o modelo ARIMA. O intervalo EPB proposto neste trabalho e e similar a intervalos propostos para outros modelos de series temporais, como o de Masarotto (1990) para modelos autorregressivos. Correcoes bootstrap de vicio, incluindo o vicio no desvio padrao dos residuos, sao testadas como possiveis fontes de melhoras dos intervalos. Os metodos utilizados no trabalho tambem foram testados para series ARMA. O trabalho conclui que os intervalos PRR e EPB melhoram significativamente a qualidade dos intervalos de previsao em comparacao com o intervalo assintotico, e a correcao bootstrap de vicio no desvio padrao dos residuos tambem pode ser util neste sentido.
Development and Validation of A Sensitive and Rugged LC-MS/MS Method for Evaluation of Valganciclovir and its Active Metabolite Ganciclovir in Human Plasma

The current study was aimed to develop and validate a simple and sensitive method to quantify valganciclovir and its metabolite ganciclovir in human plasma using valganciclovir-D5, ganciclovir-D5 as internal standards for pharmacokinetic analyses. The method exhibited highly sensitive ranges 2-805 ng/ml for valganciclovir and 40-12000 ng/ml for ganciclovir. The analytes were extracted from plasma using solid phase extraction employing mixed-mode cation exchange cartridges. Valganciclovir and ganciclovir were separated using Agilent XDB-Phenyl column with a mobile phase consisting 35:65 ratio of 10 mM ammonium acetate in 0.3 % formic acid and acetonitrile at 0.60 ml/min flow rate with 2.50 min run time. The validated parameters were within the acceptance criteria as per the regulatory guidelines and the validated calibration curve (CC) ranges to both analytes have r value >0.99 with above 90 % recovery. The validated method was successfully used to study pharmacokinetics of orally administered valganciclovir (900 mg) in healthy male volunteers. The pharmacokinetic parameters were, Cmax 300 ng/ml for valganciclovir and 6000 ng/ml for ganciclovir, and tmax 0.50 h for valganciclovir and 1.00 h for ganciclovir.
Estimating the mineral surface area of soils by measured water adsorption. Adjusting for the confounding effect of water adsorption by soil organic carbon

Specific surface area can be a strong predictor of organic carbon (SOC) contents in soils. Specific surface area can be estimated reliably and cost‐effectively from water adsorption by air‐dry soil samples, but SOC itself can also adsorb water. For estimating the mineral component of specific surface area, it is, therefore, necessary to exclude water‐adsorption by SOC. Here, we refer to “apparent specific surface area” for measurements that include water adsorption by both mineral soil and SOC. We used a mathematical approach to estimate water adsorption by SOC so that this component can be subtracted from measurements of apparent specific surface area.
Slot loaded EBG-based metasurface for performance improvement of circularly polarized antenna for WiMAX applications

Abstract In this paper, an electromagnetic band gap (EBG) metasurface (MS) superstrate-based circularly polarized antenna for the WiMAX (3.5 GHz) band is proposed. The proposed structure comprises a 2 × 2 slot-loaded rectangular patch MS array that can be perceived as a polarization-dependent EBG MS superstrate. Furthermore, to achieve circular polarization, the proposed antenna has an inclined coupling slot onto the ground with a conventional coplanar waveguide feed line. The proposed antenna has a compact structure with a low profile of 0. 037λ0 (λ0 stands for the free-space wavelength at 3.48 GHz) and a ground size of 30 × 30 mm2. The measured results show that the −10 dB impedance bandwidth for the proposed antenna is 34.6% and the 3-dB axial ratio (AR) bandwidth is 6.8% with a peak gain of 3.91 dBi in the desired operating band. Good agreement between the simulated and the measured results verifies the performance of the proposed antenna.
Three-Dimensional High-Energy Electron Radiography Method for Static Mesoscale Samples Diagnostics

In this paper, we propose a new method for static mesoscale sample diagnosis using three-dimensional radiography with high-energy electron radiography (HEER). The principle of three-dimensional high-energy electron radiography (TDHEER) is elucidated, and the feasibility of this method is confirmed by start-to-end simulation results. TDHEER is realized by combining HEER with the three-dimensional reconstruction method, by which more information about the samples can be attained, especially regarding the samples’ internal structures. With our study, the internal structures and the three-dimensional positions of the spherical sample are determined with a ~3 μm resolution. We believe that this new method enhances the HEER diagnostic capability and extends its application potential in mesoscale sciences.
Multiobjective Optimization Design for Structural Parameters of TBM Disc Cutter Rings Based on FAHP and SAMPGA

As a key component of tunnel boring machines (TBMs), the disc cutter ring and its structural parameters are closely related to the TBM tunneling quality. Literature review shows that investigations on optimization design methods for cutter ring structure are seriously insufficient. Therefore, in this paper, a multiobjective optimization design model of structural parameters for disc cutter rings is developed based on the complex geological conditions and the corresponding cutter ring structure design requirements. The rock breaking capability, energy consumption, load-bearing capability, wear life, and wear uniformity of disc cutter are selected as the objectives, and the geometric structure of cutter rings, ultimate load-bearing capability, and cutterhead drive performance are determined as constraints. According to the characteristics of this model, a self-adaptive multipopulation genetic algorithm (SAMPGA) is utilized to solve the optimization problem, and the Fuzzy analytical hierarchy process (FAHP) is employed to calculate weight coefficients for multiple objectives. Finally, the applicability of the proposed method is demonstrated through a case study in a TBM project. The results indicated that the rock breaking performance and service life of the disc cutter are improved after optimization by using the proposed method. The utilization of SAMPGA effectively solves the premature local convergence problems during optimization. The geological adaptability should be considered in the cutter ring structure design, which can be realized by using the proposed method based on the suitable weight coefficients.
Electronic crosstalk characterization and correction for MODIS bands 1 and 2 using lunar observations

Electronic crosstalk is an issue that has affected several bands on the MODIS instruments on board the Terra and Aqua platforms. For bands 1 and 2 in MODIS, electronic crosstalk signal contamination is observed at relatively consistent levels throughout the entire mission for each instrument. As in many previous efforts, including the correction of electronic crosstalk in Terra MODIS bands 27 − 30 in Collection 6.1, regularly scheduled lunar observations are used in order to identify the source of the crosstalk contamination as well as derive the correction coefficients throughout the mission. For each detector in bands 1 and 2, the source of the contamination follows a pattern determined by the band and detector being sampled from bands 13−19 at approximately the same time. These bands are on the same focal plane assembly but are sampled on a different electronic output than bands 1 and 2. The contamination was found to be non-linear as a function of the sending signal and will be shown to occur before the analog-to-digital conversion of the signal. In this work, we will derive quadratic crosstalk correction coefficients for bands 1 and 2 in both Aqua and Terra MODIS. The correction will be applied to the lunar and solar diffuser calibration data and then applied to the Earth-view imagery. While the correction to the lunar data shows an improvement to the calibration and spatial characterization results, the solar diffuser and Earth-view data corrections are complicated by signal saturation in the sending bands.
COMPUTING LIMITING LOCAL POWERS AND POWER ENVELOPES OF PANEL MA UNIT ROOT TESTS AND STATIONARITY TESTS

The present article discusses panel unit root tests for two classes of models. One is the moving average (MA) model and the other is the error components model. We conduct score type tests for these models, allowing for various types of regressors, and examine the cross-sectional effect explicitly by presenting an efficient way of computing limiting local powers. It is found that the existence of common regressors does not affect the asymptotic behavior of tests, although heterogeneous regressors do. We also derive the limiting power envelopes for some simple panel models, which shows that the score type panel tests are asymptotically efficient, unlike the time series case.
Enhancing PMW Satellite Precipitation Estimation: Detecting Convective Class

A decades-long effort in observing precipitation from space has led to continuous improvements of satellite-derived passive microwave (PMW) large-scale precipitation products. However, due to a limited ability to relate observed radiometric signatures to precipitation type (convective and stratiform) and associated precipitation rate variability, PMW retrievals are prone to large systematic errors at instantaneous scales. The present study explores the use of deep learning approach in extracting the information content from PMW observation vectors to help identify precipitation types. A deep learning neural network model (DNN) is developed to retrieve the convective type in precipitating systems from PMW observations. A 12-month period of Global Precipitation Measurement mission Microwave Imager (GMI) observations is used as a dataset for model development and verification. The proposed DNN model is shown to accurately predict precipitation types for 85% of total precipitation volume. The model reduces precipitation rate bias associated with convective and stratiform precipitation in the GPM operational algorithm by a factor of 2 while preserving the correlation with reference precipitation rates, and is insensitive to surface type variability. Based on comparisons against currently used convective schemes, it is concluded that the neural network approach has the potential to address regime-specific PMW satellite precipitation biases affecting GPM operations.
Fault wave arrival determination

The present invention relates to a method and apparatus for determining the time of arrival of a fault wave at a measurement point of a power transmission system. The apparatus (20) comprises a measurement unit (32) measuring a power quantity (PQ) of the system at the measurement point (Pl) for obtaining a measurement quantity being a potential fault wave, a time keeping unit (40), a storage unit (38) storing the measurement quantity, a comparing unit (36) comparing the measurement quantity with a threshold (T1) for detecting the presence of a fault wave (W1) and an analyzing unit (42). The analyzing unit analyzes measurements made before the fault wave presence was detected, determines the starting point (SP) of the fault wave based on the analysis and sets the time of the starting point to be the fault wave arrival time (T1).
Studies on Apple Canker Caused by Sphaeropsis malorum Berk and its Control

Apple (Malus domestica Bork.) is the major temperate fruit receiving attention for expanding cultivation in Hill temperate zones of the country. The apple cultivation has gone up in geometrical progression in Himachal pradesh in the past two decades and it could well be regarded as "Apple State of India". Apple alone has occupied about 45,360 out of a total 1,00084 hectares under fruit cultivation (Rana et al., 1983).
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transform any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth. With the design goals of modularity, versatility, and extensibility in mind, Texar extracts common patterns underlying the diverse tasks and methodologies, creates a library of highly reusable modules and functionalities, and allows arbitrary model architectures and algorithmic paradigms. In Texar, model architecture, inference, and learning processes are properly decomposed. Modules at a high concept level can be freely assembled or plugged in/swapped out. Texar is thus particularly suitable for researchers and practitioners to do fast prototyping and experimentation. The versatile toolkit also fosters technique sharing across different text generation tasks. Texar supports both TensorFlow and PyTorch, and is released under Apache License 2.0 at https://www.texar. io.
Regulation of localization and function of the Rho family small GTPase, Rnd3

James Patrick Madigan Regulation of localization and function of the Rho family small GTPase, Rnd3 (under the direction of Adrienne D. Cox) The Rnd proteins (Rnd1, Rnd2, Rnd3/RhoE) form a distinct branch of the Rho family of small GTPases. Rnd3 decreases RhoA activity and regulates both cytoskeletal organization (to cause cell rounding, hence the name Rnd) and cell cycle progression. How Rnd3 itself, is regulated to cause these changes is still under investigation. One possible mechanism is spatiotemporal regulation of this constitutively activated GTPase by dynamically modulated post-translational modifications. In this work, I have shown that, upon protein kinase C (PKC) agonist stimulation, Rnd3 undergoes an electrophoretic mobility shift and becomes metabolically labeled with P, and its subcellular localization becomes enriched at internal membranes. These changes are blocked by inhibition of conventional PKC isoforms and do not occur in PKCα-null cells or with a nonphosphorylatable mutant of Rnd3, indicating that Rnd3 is a target for PKCα-mediated phosphorylation. I have provided evidence that integrin engagement regulates the downstream signaling functions of Rnd3 by inducing PKCα-mediated phosphorylation. These processes result in increased downstream signaling to Rho-ROCK pathway targets such as cofilin and myosin light chain. Thus, integrin engagement is a physiological regulator of Rnd3 posttranslational modification by PKCα, and in turn is a mediator of Rnd3
Commissioning and quality assurance of a commercial intensity modulated radiotherapy (IMRT) treatment planning system PrecisePLAN

The objective of this paper is to present our experience in the commissioning and quality assurance (QA) of PrecisePLAN treatment planning system for intensity modulated radiotherapy (IMRT) using multileaf collimator (MLC), step and shoot technique. The data were obtained during the installation, acceptance test procedure, and commissioning of the unit. The dosimetric data were taken using CC13 pin-point ion chamber (Scanditronix Wellhofer). The beam profiles for various field sizes in the x, y, and diagonal directions were measured. The basic dosimetry parameters such as percentage depth dose (PDD), off-axisratio (OAR), output factor, and scatter factors needed for patient treatment were evaluated. Point dose measurement and fluence maps did the treatment dose verification. [Turk J Cancer 2007;37(1):22-26]