Miracle-dz/UniFAR-FTUs huggingface dataset:
Hadley Circulation as a Modulator of the Extratropical Climate

Abstract Studies based on GCM ensemble forecasts have shown that an intensification of the cross-equatorial Hadley circulation associated with a latitudinal displacement of the zonally averaged convective heating in the Tropics can lead to remote warming in the winter high latitudes. This work further investigates this tropical–extratropical connection in a perpetual winter experiment using an idealized GCM without orography to focus on the role of transient eddies, and tests against observations using a multiyear reanalysis produced by the Goddard Earth Observing System-Version 1 (GEOS-1) Data Assimilation System. The GCM results show that the intensification and poleward expansion of the cross-equatorial Hadley cell induced by a tropical heating shift can lead to westerly acceleration in the winter subtropics and enhanced vertical shear of the zonal wind in the subtropics and midlatitudes. The increased baroclinicity outside the Tropics is accompanied by reduced meridional temperature and potential vort.
A New Combination Rules of Evidence Theory

D S evidence theory is a very useful tool in dealing with the uncertainty problems,but its application is limited by the shortcomings of combination rules.Yager had provided some the modified rules,but his rules have some deficiencies.So in this article the new combination rules are proposed which are better than D S's and Yager's rules in combining the conflicted evidences.
Comparison of antibiotic resistance genes in swine manure storage pits of Iowa, USA

Antimicrobial resistance (AMR) can develop in deep-pit swine manure storage when bacteria are selectively pressured by unmetabolized antibiotics. Subsequent manure application on row crops is then a source of AMR into soil and downstream runoff water. Therefore, understanding the patterns of diverse antibiotic resistance genes (ARGs) in manure among different farms is important for both interpreting the results of the detection of these genes from previous studies and for the use of these genes as bioindicators of manure borne antibiotic resistance in the environment. Previous studies of manure-associated ARGs are based on limited samples of manures. To better understand the distribution of ARGs between manures, we characterized manures from 48 geographically independent swine farms across Iowa. The objectives of this study were to characterize the distribution of ARGs among these manures and to evaluate what factors in manure management may influence the presence of ARGs in manures. Our analysis included quantification of two commonly found ARGs in swine manure, ermB and tetM. Additionally, we characterized a broader suite of 31 ARGs which allowed for simultaneous assays of the presence or absence of multiple genes. We found the company integrator had a significant effect on both ermB (P=0.0007) and tetM gene concentrations (P=0.0425). Our broad analysis on ARG profiles found that the tet(36) gene was broadly present in swine manures, followed by the detection of tetT, tetM, erm(35), ermF, ermB, str, aadD, and intl3 in samples from 14 farms. Finally, we provide a comparison of methods to detect ARGs in manures, specifically comparing conventional and high-throughput qPCR and discuss their role in ARG environmental monitoring efforts. Results of this study provide insight into commonalities of ARG presence in manure holding pits and provide supporting evidence that company integrator decisions may impact ARG concentrations.
Impact of climate change on the long-term water balance in the Yarlung Zangbo basin

The Himalayan and Tibetan Plateau (TP) region serves as the “Asian water tower”. Yarlung Zangbo basin (YZB) is one of most important major rivers originating from TP sustaining billions of lives in the downstream alluvial plain. Climate change has impacted the hydrological cycle in this alpine region; however, the temporal and spatial trends of runoff and the water balance has not been quantified adequately. Here, we have optimized the snowmelt module of the Soil and Water Assessment Tool (SWAT) for the YZB to quantify the historical and future variability in the runoff, snowmelt water, and water balance components. According to the results of the Coupled Model Intercomparison Project Five and Six (CMIP5 and CMIP6) the future precipitation (2020–2099) projected by the CMIP6 will increase by 2.7% when compared to historical reference (1980–2019), while the precipitation will increase by 10.2% when projected by the CMIP5. The increase in average air temperature (2.4°C) projected by CMIP6 exceeds that of CMIP5 (1.9°C). The runoff between 2020 and 2050 will decrease by −12.7% compared with historical reference, and it will further decline by −9.2% during 2060 and 2099. Based on the average results of CMIP5 and CMIP6, the water balance deficit will increase primarily due to an increase in evaporation of 42.4%, whereas snowmelt (−32.1%), water yield (−9.4%), soil water (−19.8%), and groundwater recharge (−17.8%) will decrease. Long-term water balance evaluation implicates that middle and upper reaches will face a higher risk of drought, implying a potential threat to the sustainability of grassland ecosystems upstream.
High quality step-edge substrates for high-Tc superconducting devices

Despite the significant progress in fabrication methods of step edge, the lack of reproducibility still hinders their use in more complicated systems. To pursue the high reproducibility and quality of step edge for high-Tc superconducting devices, we have developed the technique to fabricate high quality step-edge substrates with arbitrary step angles. We used two steps to improve the step ramp quality substantially. The surface microscopy of step substrates shows high uniformity with respect to any step angle. There are no needles, waves, trenches, cascades, or other flaws on these surfaces. Serial Josephson junctions and superconducting quantum interference device arrays were fabricated onto step-edge substrates. The step-edge devices exhibit excellent results.
Temperature Dependence of the Beating Frequency of hiPSC-CMs Using a MEMS Force Sensor

It is expected that human iPS cell-derived cardiomyocytes (hiPSC-CMs) can be used to treat serious heart diseases. However, the properties and functions of human adult cardiomyocytes and hiPSC-CMs, including cell maturation, differ. In this study, we focused on the temperature dependence of hiPSC-CMs by integrating the temperature regulation system into our sensor platform, which can directly and quantitatively measure their mechanical motion. We measured the beating frequency of hiPSC-CMs at different environmental temperatures and found that the beating frequency increased as the temperature increased. Although the rate at which the beating frequency increased with temperature varied, the temperature at which the beating stopped was relatively stable at approximately 20 °C. The stopping of beating at this temperature was stable, even in immature hiPSC-CMs, and was considered to be a primitive property of cardiomyocytes.
Coherent Quantum Electrodynamics in Living Matter

Living systems cannot be thermal systems, but instead are coherent systems. The dynamic origin of coherence is discussed in the case of electromagnetically coupled particles. Permanent nonvanishing electromagnetic fields are shown to be present but trapped in the coherent systems. The dynamics of enzymes is sketched as an outcome of the coherent electromagnetic structure of living matter. The emergence of bound water is analyzed. Circulation of ions is shown to be driven by the Josephson effect. Ion cyclotron resonance briefly is discussed.
Microweve Radiative Transfer through Clouds Composed of Realistically Shaped Ice Crystals. Part II. Remote Sensing of Ice Clouds.

Abstract This paper presents the results of polarized microwave radiative transfer modeling of cirrus clouds containing five different particle shoes and 18 Gamma size distributions. Upwelling brightness temperatures for tropical and midlatitude winter atmospheres are simulated at 85.5, 157, 220, and 340 GHz using scattering properties computed with the discrete dipole approximation (described in Part I). The key parameter for the results is the sensitivity (ΔTb/IWP), which relates the modeled brightness temperature depression to the ice water path. It is shown that for the higher frequencies or distributions of larger particles (i.e., in the scattering regime) the sensitivity is nearly independent of cloud temperature and details of the underlying atmosphere. As expected from the single-scattering results, the characteristic particle size has a large effect on the sensitivity, while the distribution width has only a minor effect. The range in sensitivity over the five particle shapes is typically a facto.
Diffraction for a Neumann boundary condition

Let be a bounded open set in Rn and P be a constant coefficient operator of order 2 in Rn X Rt such that admits a strictly diffractive point. We calculate in this paper the principal symbol of the operatorK& transforming for a solution in the neighborhood of a strictly diffractive point We deduce from this calculation the principal symbol of the wave diffracted by a strictly convex analytic obstacle with a Neumann boundary condition. This result is used to calculate the electromagnetic wave diffracted by a perfectly conducting body.
DUAL STROKE AND PHASE CONTROL AND SYSTEM IDENTIFICATION OF LINEAR COMPRESSOR OF A SPLIT‐STIRLING CRYOCOOLER

A new dual control scheme is proposed for stroke and phase compensation for the displacement of a linear compressor in a split‐Stirling cryocooler. This dual controller has two connected stroke and phase control loops, whose dynamic models are identified experimentally. These loops individually provide corrections which enable the stroke and phase of the compressor displacement to follow a sinusoidal command. Experimental results show that the dual stroke and phase control system is robust to parameter changes and external disturbances.
Renovation Of Terms Adjustment AndEffective Model Combination ImpactOn Information Retrieval Performance

Incorporating mechanism selection of a document, such as indexing and terms weighting techniques, alleviates the data retrieval complexity and plays a significant role in the performance of information retrieval and data mining policy. The goals of information retrieval (IR) present the user automatically and accurately with relevant data in answer to their queries in the form of documents. To achieve the goals, an intelligent approach is to use the vector space model, which models documents and queries as a number of indexed vectors in the terms space. Unfortunately during document searching, the performance is frequently interrupted by the appearance of numbers of uncertain fake documents (such as stop words or absent terms etc). In reality, the same problems may be solved in an intelligent way, so parallel research is needed. To meet the requirements of the performance complexities by taking account not only occurring terms but also absent terms in finding similarity of patterns among the document and the query vectors could be included. In this paper, a balanced term weighting scheme for a vector space model has been proposed as a novel method to improve the retrieval performance. Additionally, a dimension compression method has been included to minimize the computational cost. Under the proposed scheme, a certain amount of Meta data have been tested and the results strongly recommend to us that the proposed method is comparatively more effective than any other information retrieval (IR) system. It could also be applicable for academic and commercial purposes.
The relationship between parental neglect and cyberbullying perpetration among Chinese adolescent: The sequential role of cyberbullying victimization and internet gaming disorder

Cyberbullying perpetration and victimization have been common public health issues that have impaired the development of adolescent physical and mental health. Abundant research has proven associations between negative parental factors and cyberbullying perpetration. However, there is a paucity of research exploring the impact of parental neglect on cyberbullying and its internal mechanisms. Based on the parental acceptance-rejection theory (PARTheory) and the general aggression model (GAM), the present study constructs a sequential mediation model in which parental neglect is related to adolescent cyberbullying perpetration through cyberbullying victimization and internet gaming disorder (IGD). Using random cluster sampling, a total of 699 middle school students (Mage = 14.18 years, SD = 1.22, and 324 boys) were recruited from five schools in three provinces on mainland China. The participants completed questionnaires regarding parental neglect, cyberbullying perpetration, cyberbullying victimization, and IGD. The results of structural equation modeling indicated that parental neglect was positively associated with cyberbullying perpetration. The mediating effects of cyberbullying victimization and IGD in this relationship are significant both individually and jointly. The current findings have important implications for enlightening families and schools to pay particular attention to adolescents' experiences of parental neglect and provide them with timely feedback and assistance. This will contribute to the prevention and reduction of adolescent involvement in cyberbullying perpetration.
On the Lorentz-Marcinkiewicz Operator Ideal

This article deals with the LORENTZ-MARCINKIEWICZ operator ideal 𝔩 generated by an additive s-function and the LORENTZ-MARCINKIEWICZ sequence space λq(φ). We give eigenvalue distributions for operators belonging to 𝔩 (E, E) and we show the interpolation properties of 𝔩-ideals. Furthermore, we study certain SCHAUDER bases in 𝔩 (H, K), H and K Hilbert spaces.
RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning

Objective Due to the small proportion of target pixels in computed tomography (CT) images and the high similarity with the environment, convolutional neural network-based semantic segmentation models are difficult to develop by using deep learning. Extracting feature information often leads to under- or oversegmentation of lesions in CT images. In this paper, an improved convolutional neural network segmentation model known as RAD-UNet, which is based on the U-Net encoder-decoder architecture, is proposed and applied to lung nodular segmentation in CT images. Method The proposed RAD-UNet segmentation model includes several improved components: the U-Net encoder is replaced by a ResNet residual network module; an atrous spatial pyramid pooling module is added after the U-Net encoder; and the U-Net decoder is improved by introducing a cross-fusion feature module with channel and spatial attention. Results The segmentation model was applied to the LIDC dataset and a CT dataset collected by the Affiliated Hospital of Anhui Medical University. The experimental results show that compared with the existing SegNet [14] and U-Net [15] methods, the proposed model demonstrates better lung lesion segmentation performance. On the above two datasets, the mIoU reached 87.76% and 88.13%, and the F1-score reached 93.56% and 93.72%, respectively. Conclusion: The experimental results show that the improved RAD-UNet segmentation method achieves more accurate pixel-level segmentation in CT images of lung tumours and identifies lung nodules better than the SegNet [14] and U-Net [15] models. The problems of under- and oversegmentation that occur during segmentation are solved, effectively improving the image segmentation performance.
Multiscale edge detection and imperfect phase synchronization of the wall turbulence

Multiscale edge detection wavelet analysis is applied to the fluctuating velocity field obtained by direct numerical simulations of a fully developed turbulent channel flow at the Reynolds number based on the shear velocity, Re τ=180. The wavelet coefficients are rewritten using analytic signal approach to sort out their local amplitudes and wavenumbers. Large zones of approximate constant wavenumbers have been identified at different scales, and a parallelism is constructed between these observations and stochastic synchronization phenomena. The results that we analyze strongly suggest that the wall turbulence is chaotically synchronized with the force induced by convecting coherent vortices near the wall, thus comforting our earlier results based on experimental velocity and wall shear stress time series. The spatial extend of phase-locked, synchronized zones feature a clear type-I intermittency behavior. The local amplitude intermittency in the synchronized zones is low, and the small-scale amplitude intermittency increases significantly when they are suppressed. The type-I intermittency disappears in the viscous and log layers.
Linear axial scattering of an acoustical high-order Bessel trigonometric beam by compressible soft fluid spheres

The acoustic scattering properties of nondiffracting high-order Bessel trigonometric beams (HOBTBs) by fluid spheres are investigated. The three-dimensional directivity acoustic scattering patterns of hexane, red blood, and mercury soft spheres immersed in water and centered on the beam axis of wave propagation are presented and discussed. HOBTBs belong to the family of nondiffracting beams and are proper solutions of the homogeneous (source-free) Helmholtz equation. Closed-form analytical solutions for the incident and scattered pressure fields are provided. The far-field acoustic scattering field is expressed as a partial wave series involving the scattering angle relative to the beam axis, the order, and the half-conical angle of the wave number components of the HOBTB. The properties of the acoustic scattering by fluid spheres are discussed and numerical computations with animated graphics show exciting scattering phenomena that are especially useful in applications related to particle entrapment and .
Analysis of decision-making methodologies for desirability score of conceptual design

Multiple criteria decision-making methods have been applied to solve a variety of real-world problems, one of which is the selection of conceptual design. Various generalized models are discussed, and the scoring model of the compensatory type is considered the most suitable for this application. The analytic hierarchy process and the Self-Explicated Approach, both under this model, are considered in this work. As conceptual design tends to be a fuzzy problem in nature, a fuzzy approach for the Analytic Hierarchy Process is also presented. Comparative analyses of these approaches are made with respect to a conceptual design for a proposed precision fixture.
Predictive microbial feature analysis in patients with depression after acute ischemic stroke

Introduction Post-stroke depression (PSD) is the most common emotional problem following a stroke, which requires early diagnosis to improve the prognosis. Gut microbiota plays important role in the pathological mechanisms of acute ischemic stroke and influences the outcome of patients. However, the relationship between PSD and gut microbiota remains unknown. Here, we explored whether the microbial signatures of gut microbiota in the patients with stroke could be an appropriate predictor of PSD. Methods Fecal samples were collected from 232 acute ischemic stroke patients and determined by 16s rRNA sequencing. All patients then received 17-Hamilton Depression Rating Scale (HAMD-17) assessment 3 months after discharge, and were further divided into PSD group and non-PSD group. We analyzed the differences of gut microbiota between these groups. To identify gut microbial biomarkers, we then established microbial biomarker model. Results Our results showed that the composition of gut microbiota in the PSD patients differed significantly from that in non-PSD patients. The genus Streptococcus, Akkermansia, and Barnesiella were significantly increased in PSD patients compared to non-PSD, while the genus Escherichia-Shigella, Butyricicoccus, and Holdemanella were significantly decreased. Correlation analyses displayed that Akkermansia, Barnesiella, and Pyramidobacter were positively correlated with HAMD score, while Holdemanella was negatively correlated with HAMD score. The optimal microbial markers were determined, and the combination achieved an area under the curve (AUC) value of 0.705 to distinguish PSD from non-PSD. Conclusions Our findings suggest that PSD patients had distinct gut microbiota compared to non-PSD patients, and explore the potential of microbial markers, which might provide clinical decision-making in PSD.
Effects of geometric confinement in quasi-2-D turbulent Rayleigh–Bénard convection

We report an experimental study of confinement effects in quasi-2-D turbulent Rayleigh–Bénard convection. The experiments were conducted in five rectangular cells with their height $H$ and length $L$ being the same and fixed, while the width $W$ was different for each cell to produce lateral aspect ratios ( ${\it\Gamma}=W/H$ ) of 0.6, 0.3, 0.2, 0.15 and 0.1. Direct flow field measurements reveal that the large-scale flow slows down as ${\it\Gamma}$ decreases and there are more plumes travelling through the bulk region. Moreover, the reversal frequency of the large-scale flow is found to increase drastically in smaller ${\it\Gamma}$ cells, by more than 1000-fold for the highest value of Rayleigh number reached in the experiment. The reversal frequency can be well described by a stochastic model developed by Ni et al. (J. Fluid Mech., vol. 778, 2015, R5) and the probability density functions (PDF) of the time interval between successive reversals are found to follow Poisson statistics as in the 3-D system. It is further observed that the bulk temperature fluctuation increases significantly and its PDF changes from exponential to Gaussian as ${\it\Gamma}$ decreases. The influences of geometric confinement on the global heat transport are also investigated. The measured Nu–Ra relationship suggests that, as the lateral aspect ratio decreases, the relative weight of the boundary layer contribution in the global heat transport increases compared to that from the bulk. These results demonstrate that in the quasi-2-D geometry, geometric confinement has strong effects on both the global and local properties in turbulent convective flows, which are very different from the previous findings in 3-D and true 2-D systems.
A Lyα-only Active Galactic Nucleus from the Sloan Digital Sky Survey

The Sloan Digital Sky Survey has discovered a z = 2.4917 radio-loud active galactic nucleus (AGN) with a luminous, variable, low-polarization UV continuum, H I two-photon emission, and a moderately broad Lyα line (FWHM ≃ 1430 km s-1) but without obvious metal-line emission. SDSS J113658.36+024220.1 does have associated metal-line absorption in three distinct, narrow systems spanning a velocity range of 2710 km s-1. Despite certain spectral similarities, SDSS J1136+0242 is not a Lyman break galaxy. Instead, the Lyα and two-photon emission can be attributed to an extended, low-metallicity narrow-line region. The unpolarized continuum argues that we see SDSS J1136+0242 very close to the axis of any ionization cone present. We can conceive of two plausible explanations for why we see a strong UV continuum but no broad-line emission in this "face-on radio galaxy" model for SDSS J1136+0242: the continuum could be relativistically beamed synchrotron emission that swamps the broad-line emission, or more likely, SDSS J1136+0242 could be similar to PG 1407+265, a quasar in which for some unknown reason the high-ionization emission lines are very broad, very weak, and highly blueshifted.