Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydromagnetic Flow of Two Immiscible Couple Stress Fluids through Porous Medium in a Cylindrical Pipe with Slip Effect

In this study, the steady hydromagnetic flow of two immiscible couple stress fluids through a uniform porous medium in a cylindrical pipe with slip effect is investigated analytically. Essentially, the flow system is divided into two regions, region I and region II, which occupy the core and periphery of the system, respectively. The flow is driven by a constant pressure gradient applied in a direction parallel to the cylinder’s axis, and an external uniform magnetic field is applied in the direction perpendicular to the direction of fluid motion. Instead of the classical no-slip condition, the slip velocity along with vanishing couple stress boundary conditions is taken on the surface of the rigid cylinder, and continuity conditions of velocity, vorticity, shear stress, and couple stress are imposed at the fluid-fluid interface. The governing equations are modeled using the fully developed flow conditions. The resulting differential equations governing the flow in the two regions are converted to nondimensional forms using appropriate dimensionless variables. The nondimensional equations are solved analytically, and closed-form expressions for the flow velocity, flow rate, and stresses are derived in terms of the Bessel functions. The impacts of several parameters pertaining to the flow such as the magnetic number, couple stress parameters, Darcy number, viscosity ratio, Reynolds number, and slip parameter on the velocities in respective regions are examined and illustrated through graphs. The flow rate’s numerical values are also calculated for different fluid parameters and displayed in tabular form. It is found that increasing the magnetic number, viscosity ratio, Reynolds number, and slip parameters decreases the velocities of the fluids whereas increasing the couple stress parameter, Darcy number, and pressure gradient increases fluid velocities. The results obtained in this paper show an excellent agreement with the already existing results in the literature as limiting cases.
A graph‐based method for Chinese address matching

Address matching is a substantial task in location‐based services. Currently, major address matching methods either perform rather badly on unstructured data or fail to extract adequate semantic information of address elements. In this article, we propose a graph‐based method that can deal with both sides of the problem. First, we use a pretrained transformer neural network to handle address tokenization. Then we parse address tokens into address elements according to their parts of speech. Then the node2vec and tf‐idf technique is used to generate node embeddings for each address element. Finally, an address matching graph convolutional network is applied to do the address matching work. We have carried out a series of experiments on a real‐world Chinese address corpus, to further evaluate the impacts of our methods. The experimental results indicate our method achieves higher scores than the state‐of‐the‐art methods.
The New York Money Market.

Do you ever know the book? Yeah, this is a very interesting book to read. As we told previously, reading is not kind of obligation activity to do when we have to obligate. Reading should be a habit, a good habit. By reading, you can open the new world and get the power from the world. Everything can be gained through the book. Well in brief, book is very powerful. As what we offer you right here, this new york money market is as one of reading book for you.
An improved moving objects segmentation method based on optical flow technique and active contour model

Combining the optical flow technique and geometric active contour model to segment moving objects is a promising method.It not only can segment the contour of target accurately but also can be extended to the case with dynamic background.In order to combined these two techniques more effectively,two sides were improved: A new active contour model,which was based on motion edges,was proposed,so the impacts from low textured motion areas can be eliminated;reducing smoothing at those locations where edges in the flow field occur during the computation,the edge-enhancement nonlinear diffusion constraint was chosen as a smoothness term in optical flow computation.Then the flow field could preserve the motion discontinuities which were important information to segmentation,so a better segmentation result could be gotten.The experimental results show that this algorithm performs well,even in the situation of dynamic background.Compared with other methods,more accurate results can be gotten by this method.
Hedging the Oil Price Risk Factor on Airline Stock Returns in the Asia-Pacific: A Test of Effective Hedging Instruments

Focusing on the hedging-stock pricing research landscape, this research investigates the role of different futures hedging instruments, namely oil futures, gold futures, and VIX futures and the effect of net hedging benefits by employing them on oil price risk exposure to Asia-Pacific airline firms’ stock returns using the hedging-stock pricing model. This research examines 22 Asia-Pacific airline firms’ stock returns behaviour with monthly frequency data from 2010 to 2019. A complementary analysis approach using the fixed effect panel and quantile regressions are used to analyse the research model. The findings confirm the negative effects of oil price risk and the benefits of hedging oil price risk on airline stock returns, and the superiority of gold futures over oil futures and VIX futures as effective hedging instruments. The findings provide hedging insights to investors to manage equity investment against oil price risk. In the academic context, little is known about the benefits of cross-commodity hedging to reduce risk in equity investment and this work advances the hedging-stock pricing research. This research confirmed pairing of gold futures-airline stock produces an effective hedge. The equity investors could use cross-hedging strategy to enhance airline stock investment portfolio returns. 5
Boosted Searches for New Physics at the LHC

During the first run of the LHC, no apparent signs of new physics beyond the Standard Model were discovered, but rather the Standard Model-like properties of the Higgs particle confirmed. Therefore, new and powerful methods are needed to disclose the traces of new physics, which is expected to be at the TeV scale in order to solve the hierarchy problem. In this thesis, we propose two complementary strategies for the quest for new physics at the LHC. First, we show how a very boosted Higgs in association with a hard jet can be used to determine the important top Yukawa coupling in gluon fusion. In the inclusive gluon fusion process this is not feasible since possible deviations from its Standard Model value are combined and can even cancel with the effective Higgs-gluon interaction mediated by new top partners. This cancellation is motivated within minimal composite Higgs models but also in certain regions of the MSSM parameter space and can lead to a Standard Model-like inclusive cross section that allows no conclusions on the mass spectrum of the new physics. We work out in detail how this degeneracy can be broken in the boosted Higgs channel and find that even in the worst case scenario with a Standard Model-like inclusive cross section, the top Yukawa coupling can be constrained to 0.8–1.3 times its Standard Model value at 95% CL with an integrated luminosity of 3 000 fb−1. The second strategy is targeted at direct stop and sbottom searches in the fully hadronic top decay channel. Since the stop, sbottom and neutralino masses are unknown, very different event shapes are imaginable, ranging from unboosted top quarks and low missing energy to highly boosted top quarks and large missing energy in the final state. In order to cover a wide range of possible event shapes and consequently stop, sbottom, and neutralino masses, we combine several top taggers based on jet substructure techniques to obtain a scale invariant search strategy. The performance of this approach is shown in a collider study where we find that stops with masses up to about 1 100GeV can be excluded at 95% CL with an integrated luminosity of 100 fb−1.
Evaluation of the Selectivity of Several Organic Anion Transporting Polypeptide 1B Biomarkers Using Relative Activity Factor Method

In recent years, some endogenous substrates of organic anion transporting polypeptide 1B (OATP1B) have been identified and characterized as potential biomarkers to assess OATP1B-mediated clinical drug–drug interactions (DDIs). However, quantitative determination of their selectivity to OATP1B is still limited. In this study, we developed a relative activity factor (RAF) method to determine the relative contribution of hepatic uptake transporters OATP1B1, OATP1B3, OATP2B1, and sodium-taurocholate co-transporting polypeptide (NTCP) on hepatic uptake of several OATP1B biomarkers, including coproporphyrin I (CPI), coproporphyrin I CPIII, and sulfate conjugates of bile acids: glycochenodeoxycholic acid sulfate (GCDCA-S), glycodeoxycholic acid sulfate (GDCA-S), and taurochenodeoxycholic acid sulfate (TCDCA-S). RAF values for OATP1B1, OATP1B3, OATP2B1, and NTCP were determined in cryopreserved human hepatocytes and transporter transfected cells using pitavastatin, cholecystokinin, resveratrol-3-O-β-D-glucuronide, and taurocholic acid (TCA) as reference compounds, respectively. OATP1B1-specific pitavastatin uptake in hepatocytes was measured in the absence and presence of 1 µM estropipate, whereas NTCP-specific TCA uptake was measured in the presence of 10 µM rifampin. Our studies suggested that CPI was a more selective biomarker for OATP1B1 than CPIII, whereas GCDCA-S and TCDCA-S were more selective to OATP1B3. OATP1B1 and OATP1B3 equally contributed to hepatic uptake of GDCA-S. The mechanistic static model, incorporating the fraction transported of CPI/III estimated by RAF and in vivo elimination data, predicted several perpetrator interactions with CPI/III. Overall, RAF method combined with pharmacogenomic and DDI studies is a useful tool to determine the selectivity of transporter biomarkers and facilitate the selection of appropriate biomarkers for DDI evaluation. SIGNIFICANCE STATEMENT The authors developed a new relative activity factor (RAF) method to quantify the contribution of hepatic uptake transporters organic anion transporting polypeptide (OATP)1B1, OATP1B3, OATP2B1, and sodium taurocholate co-transporting polypeptide (NTCP) on several OATP1B biomarkers and evaluated their predictive value on drug-drug interactions (DDI). These studies suggest that the RAF method is a useful tool to determine the selectivity of transporter biomarkers. This method combined with pharmacogenomic and DDI studies will mechanistically facilitate the selection of appropriate biomarkers for DDI prediction.
Mediating the Worst of Both Worlds Effect with Facets of Criminal Thought Process: Moral Neutralization, Cognitive Impulsivity, and Their Interaction

ABSTRACT The Worst of Both Worlds (WBW) hypothesis holds that prior offending and substance use in combination is significantly more likely to lead to antisocial behavior than either prior offending or prior substance use alone. In an effort to better understand the mechanisms behind the WBW effect, we performed a causal mediation analysis in which moral neutralization and cognitive impulsivity served as mediators of the WBW-delinquency relationship in a group of 845 (406 boys, 439 girls) early adolescents. We then tested the indirect effect for each pathway using longitudinal data and bias-corrected bootstrapped confidence intervals. Results showed that moral neutralization, but not cognitive impulsivity or the neutralization x impulsivity interaction, mediated the relationship between WBW and delinquency. These findings indicate that moral neutralization may play a salient role in the WBW effect by linking offending-substance comorbidity to future antisocial behavior. There is a need for additional research, however, to ascertain how and why comorbid criminal offending and substance use/abuse link specifically to moral neutralization, whereas there appears to be no connection between crime-substance comorbidity and cognitive impulsivity. GRAPHICAL ABSTRACT
RECURSIVE INTEGRAL PI FOR CURRENT CONTROL OF HYBRID ACTIVE POWER FILTER

In the use of hybrid active power filter (HAPF) for eliminating harmonics in the electric power systems, due to the influence of detection accuracy, time delay of instruction current calculation and phase displacement of output filter, the performance of the HAPF system is not good. This paper presents recursive integral PI algorithm applied for HAPF to improve its steady-state and dynamic performance and the control scheme combine fuzzy logic based set-point weighing algorithm to enhance its robustness. The characteristics of the proposed algorithm are small computation capacity and easy for engineering application. Experimental result confirms the validity of the proposed controller. The proposed recursive integral PI algorithm can also be applied in the control of the periodic reference current to obtain a zero steady-state error, as in AC drive.
Solution to the problem of Limit

To improve students' ability of application is one of the main tasks of the teaching of Higher Mathematics,and such ability mainly rest upon their ability of calculating.Bases on years of teaching practice of the author,this essay is to discuss and exchange with people of the same occupation the solution to the problems of Limit in Higher mathematics.
Self-Information Domain-Based Neural CSI Compression With Feature Coupling

Deep learning (DL)-based channel state information (CSI) feedback methods compressed the CSI matrix by exploiting its delay and angle features straightforwardly, while the measure in terms of information contained in the CSI matrix has rarely been considered. Based on this observation, we introduce self-information as an informative CSI representation from the perspective of information theory, which reflects the amount of information of the original CSI matrix in an explicit way. Then, a novel DL-based network is proposed for temporal CSI compression in the self-information domain, namely SD-CsiNet. The proposed SD-CsiNet projects the raw CSI onto a self-information matrix in the newly-defined self-information domain, extracts both temporal and spatial features of the self-information matrix, and then couples these two features for effective compression. Experimental results verify the effectiveness of the proposed SD-CsiNet by exploiting the self-information of CSI. Particularly for compression ratios <inline-formula><tex-math notation="LaTeX">$1/8$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$1/16$</tex-math></inline-formula>, the SD-CsiNet respectively achieves 7.17 dB and 3.68 dB performance gains compared to state-of-the-art methods.
Genome-wide characterization of the xyloglucan endotransglucosylase/hydrolase gene family in Solanum lycopersicum L. and gene expression analysis in response to arbuscular mycorrhizal symbiosis

Xyloglucan endotransglucosylase/hydrolases (XTHs) are a glycoside hydrolase protein family involved in the biosynthesis of xyloglucans, with essential roles in the regulation of plant cell wall extensibility. By taking advantage of the whole genome sequence in Solanum lycopersicum, 37 SlXTHs were identified in the present work. SlXTHs were classified into four subfamilies (ancestral, I/II, III-A, III-B) when aligned to XTHs of other plant species. Gene structure and conserved motifs showed similar compositions in each subfamily. Segmental duplication was the primary mechanism accounting for the expansion of SlXTH genes. In silico expression analysis showed that SlXTH genes exhibited differential expression in several tissues. GO analysis and 3D protein structure indicated that all 37 SlXTHs participate in cell wall biogenesis and xyloglucan metabolism. Promoter analysis revealed that some SlXTHs have MeJA- and stress-responsive elements. qRT-PCR expression analysis of nine SlXTHs in leaves and roots of mycorrhizal colonized vs. non-colonized plants showed that eight of these genes were differentially expressed in leaves and four in roots, suggesting that SlXTHs might play roles in plant defense induced by arbuscular mycorrhiza. Our results provide valuable insight into the function of XTHs in S. lycopersicum, in addition to the response of plants to mycorrhizal colonization.
Red Amaranth (Amaranthus tricolor L.) Irrigated with Domestic Sewage Wastewater as a Source of Irrigation: Environmental Food Security and Safety Assessment Perspectives through Acute and Sub- Acute Toxicity Study

Water deficiency is one of the main factors for limiting sustainable agricultural development in most arid and semi-arid regions. There is a gradual decline in the availability of fresh water to be used for irrigation in developing countries like India. Sewage farming is quite common in all urban areas in India. The effect of its direct and long-term use for irrigation needs a thorough study. However, there is increasing concern about food safety and health risks, hence, a case study was undertaken to understand the long-term effect of domestic sewage wastewater irrigation on heavy metal concentrations in soil and plants. The study reveals the mineral and heavy metal composition of irrigated domestic sewage wastewater and it has been compared with the well water irrigated in the rural area, soil parameters and also the mineral and heavy metal composition of a cultivated plant, Amaranthus tricolor L. Transfer factor (TF) was calculated to understand the extent of risk and associated hazard due to wastewater irrigation and the consequence of heavy metals accumulation in the edible portion of experimented vegetables. The present study was carried out to assess the potential toxicity of acetone extract of A. tricolor with some essential parameters such as haematological and biochemical parameters, liver and kidney weight and their histopathological study. After conducting in vivo acute and subchronic toxicity experiments using the rat model, there was no toxicity or mortality observed between domestic sewage water and well water irrigated to red amaranth, A. tricolor.
The method of dynamic mode decomposition in shallow water and a swirling flow problem

In this paper, a new vector‐filtering criterion for dynamic modes selection is proposed that is able to extract dynamically relevant flow features from dynamic mode decomposition of time‐resolved experimental or numerical data. We employ a novel modes selection criterion in parallel with the classic selection based on modes amplitudes, in order to analyze which of these procedures better highlight the coherent structures of the flow dynamics. Numerical tests are performed on two distinct problems. The efficiency of the proposed criterion is proved in retaining the most influential modes and reducing the size of the dynamic mode decomposition model. By applying the proposed filtering mode technique, the flow reconstruction error is shown to be significantly reduced. Copyright © 2016 John Wiley & Sons, Ltd.
Slice-Relation-Clustering Framework via Horizontal Angle Information for 3-D Tree Roots Reconstruction

Tree root system 3-D reconstruction and spatial distribution analysis are the prevalent aspects of tree root investigation using ground penetrating radar (GPR). Precedent 3-D reconstruction methods are found to be effective in mapping simple, smooth root structures. However, repetitive and dense B-scans are needed; otherwise, the retrieved roots’ spatial distribution and growth extension trend accuracy would deteriorate with the increase in the root systems’ complexity. To address these issues, this article, for the first time, explores the possibility of integrating the horizontal angle information of the tree roots and a slice-relation-clustering (SRC) algorithm to reconstruct the complex tree root systems in a 3-D manner. The proposed framework, which takes the roots’ horizontal angle as an analyzing condition instead of biological properties that are similar among neighboring branches used in the existing methods, clusters preprocessed and focused 2-D reflection patterns from the same single root together. The whole roots system is the combination of every single root cluster. Real measurement results show that our proposed method achieves a high efficiency in accurate root system reconstruction.
Ionic Conductivity of Lithium Phosphides

We comprehensively study the ionic conductivity in lithium phosphides, promising materials for energy storage applications, by using a combination of first-principles computations and machine learning interatomic potentials. Using the quasiharminic approximation, we calculated convex hulls of the Li-P system at various temperatures and the temperature-composition phase diagram was obtained, delineating the stability regions of each phase. The ionic conductivity of stable (Li3P, LiP, Li3P7, Li3P11, LiP7) and metastable (Li4P3, Li5P4, LiP5) compounds was studied as a function of temperature. In some compounds we found have high ionic conductivity at room temperatures (10−3–10−2 S cm−1). Structures with the lowest ionic conductivity are LiP, Li3P11, and LiP7, in which diffusion is negligible in the whole temperature range 300–500 K. In Li3P, Li3P7, and Li4P3, LiP, there is the 3D diffusion of Li atoms, while in Li5P4 the 2D mechanism prevails, and in LiP5 and LiP7 the 1D mechanism was observed. This study may provide insights for the development of Li-P materials in lithium ion and lithium metal battery applications.
Exploring Estimator BiasVariance Tradeoffs Using the Uniform CR Bound

We introduce a plane, which we call the delta-sigma plane, that is indexed by tbe norm of the estimator bias gradient and the variance of the estimator. The norm of the bias gradient is related to the maximum variation in the estimator bias function over a neighborhood of parameter space. Using a uniform Cram? r-Rao (CR) bound on estimator variance, a delta-sigma tradeoff curve is specified that defines an ? >unachievable region ? > of the delta-sigma plane for a specifiedstatistical model. In order to place an estimator on this plane for comparison with the delta-sigma tradeoff curve, the estimator variance, bias gradient, and bias gradient norm must be evaluated. We present a simple and accurate method for experimentally determining the bias gradient norm based on applying a bootstrap estimator to a sample mean constructed from the gradient of the log-likelihood. We demonstrate the methods developed in this paper for linear Gaussian and nonlinear Poisson inverse problems.