Miracle-dz/UniFAR-FTUs huggingface dataset:
A Transcriptomics-Based Bioinformatics Approach for Identification and In Vitro Screening of FDA-Approved Drugs for Repurposing against Dengue Virus-2

The rising incidence of dengue virus (DENV) infections in the tropical and sub-tropical regions of the world emphasizes the need to identify effective therapeutic drugs against the disease. Repurposing of drugs has emerged as a novel concept to combat pathogens. In this study, we employed a transcriptomics-based bioinformatics approach for drug identification against DENV. Gene expression omnibus datasets from patients with different grades of dengue disease severity and healthy controls were used to identify differentially expressed genes in dengue cases, which were then applied to the query tool of Connectivity Map to identify the inverse gene–disease–drug relationship. A total of sixteen identified drugs were investigated for their prophylactic, virucidal, and therapeutic effects against DENV. Focus-forming unit assay and quantitative RT-PCR were used to evaluate the antiviral activity. Results revealed that five compounds, viz., resveratrol, doxorubicin, lomibuvir, elvitegravir, and enalaprilat, have significant anti-DENV activity. Further, molecular docking studies showed that these drugs can interact with a variety of protein targets of DENV, including the glycoprotein, the NS5 RdRp, NS2B-NS3 protease, and NS5 methyltransferase The in vitro and in silico results, therefore, reveal that these drugs have the ability to decrease DENV-2 production, suggesting that these drugs or their derivatives could be attempted as therapeutic agents against DENV infections.
ON THE AMPLITUDE OF CONVECTIVE VELOCITIES IN THE DEEP SOLAR INTERIOR

We obtain lower limits on the amplitude of convective velocities in the deep solar convection zone (CZ) based only on the observed properties of the differential rotation and meridional circulation together with simple and robust dynamical balances obtained from the fundamental magnetohydrodynamics equations. The linchpin of the approach is the concept of gyroscopic pumping whereby the meridional circulation across isosurfaces of specific angular momentum is linked to the angular momentum transport by the convective Reynolds stress. We find that the amplitude of the convective velocity must be at least 30 m s−1 in the upper CZ (r ∼ 0.95R) and at least 8 m s−1 in the lower CZ (r ∼ 0.75R) in order to be consistent with the observed mean flows. Using the base of the near-surface shear layer as a probe of the rotational influence, we are further able to show that the characteristic length scale of deep convective motions must be no smaller than 5.5–30 Mm. These results are compatible with convection models but suggest that the efficiency of the turbulent transport assumed in advection-dominated flux-transport dynamo models is generally not consistent with the mean flows they employ.
Mechanism of very high-energy radiation in BL Lacertae object 3C 66A

Aims. Our goal is to understand the nature of blazars and the mechanisms for generating high-energy. -rays, through investigation of the blazar 3C 66A. Methods. We model the high-energy spectrum of 3C 66A, which was observed recently with the Fermi-LAT and VERITAS telescopes. The spectrum has a hard change from the energy range of 0.2-100 GeV to 200-500 GeV in recent almost contemporaneous observations of two telescopes. Results. The de-absorbed VERITAS spectrum depends strongly on redshift, which is highly uncertain. If z = 0.444 is adopted, we are able to use the SSC model to produce the Fermi-LAT component and the EC model to the VERITAS component. However, if z = 0.1, the intrinsic VERITAS spectrum will be softer, and there will be a smooth link between the Fermi-LAT and VERITAS spectra that can be explained using an SSC model.
THE CARBON NANOTUBE-EMBEDDED BOUNDARY LAYER THEORY FOR ENERGY HARVESTING

Single-walled carbon nanotubes (SWNTs) and multi-walled nanotubes (MWNTs) are gaining appeal in mechanical engineering and industrial applications due to their direct influence on enhancing the thermal conductivity of base fluids. With such intriguing properties of carbon nanotubes in mind, our goal in this work is to investigate radiation effects on the flow of carbon nanotube suspended nanofluids in the presence of a magnetic field past a stretched sheet impacted by slip state. CNTs flow and heat transmission are frequently modelled in practice using nonlinear differential equation systems. This system has been precisely solved, and an accurate analytical expression for the fluid velocity in terms of an exponential function has been derived, while the temperature distribution is stated in terms of a confluent hypergeometric function. The impact of the radiation parameter, slip parameter, sloid volume fraction, magnetic parameter, Eckart and Prandtl numbers on the velocity, temperature, and heat transfer rate profiles are demonstrated using a parametric analysis. When compared to the two types of nanoparticles (Cooper and Silver) in earlier published articles, temperature profiles for single-walled nanotubes (SWNTs) and multi-walled nanotubes (MWNTs) are revealed to be particularly sensitive to radiation, solid volume fraction, and slip parameters. Nanomechanical gears, nanosensors, nanocomposite materials, resonators, and thermal materials are only a few of the present problem's technical applications.
Different functions of emotion regulation in linking harmony seeking and rejection avoidance to life satisfaction and social support in Germany, Hong Kong, and Japan

This study examined whether two facets of interdependence, harmony seeking and rejection avoidance, were differently related to life satisfaction and social support from friends across cultures through the differential use of emotion regulation strategies. Speciﬁcally, we propose that individuals who seek harmony and avoid rejection regulate emotions differently to achieve social adaptation in their sociocultural contexts. University students from Germany ( n = 129), Hong Kong ( n = 136), and Japan ( n = 123) completed our online survey. Data were analysed through multigroup structural equation modelling. Across cultures, harmony seeking was positively while rejection avoidance was negatively related to indices of social functioning (life satisfaction or social support). For Germans, emotion regulation (more rumination, less reappraisal, more suppression) completely mediated the associations of rejection avoidance with life satisfaction. Germans may emotionally overreact when fearing rejection, which is reﬂected in using dysfunctional emotion regulation strategies. In contrast, rejection avoidance was only weakly related to emotional dysregulation among Hong Kong Chinese and Japanese who might be adapted to fearing exclusion due to living in low relational mobility societies. Our ﬁndings demonstrate cultural similarities and differences in the interplay of harmony seeking and rejection avoidance with emotion regulation, life satisfaction, and social support.
Non-BPS D9-branes in the Early Universe(Fundamental Problems and Applications of Quantum Field Theory)

We have investigated the finite temperature systems of non-BPS D-branes and D-brane-anti-D-brane pairs in the previous papers. It has been shown that non-BPS D9-branes and D9-anti-D9 pairs become stable near the Hagedorn temperature on the basis of boundary string field theory. This implies that there is a possibility that these spacetime-filling branes exist in the early universe. We study the time evolution of the universe in the presence of non-BPS D9-branes on the basis of boundary string field theory in this paper. We try to construct the following scenario for the early universe: The universe expands at high temperature and the open string gas on the non-BPS D9-branes dominates the total energy of the system at first. The temperature decreases as the universe expands. Then the non-BPS D9-branes become unstable at low temperature and decay through tachyon condensation. We obtain some classical solutions for Einstein gravity and dilaton gravity in the very simple cases.
Graphene: A future science material for water treatment

Graphene is showing its versatility continuously by playing the most important role in many fields of science. Water treatment is one of them. In the present scenario, the supply of the safe and pure water has become the main priority. Especially, the most denser and populated areas are demanding of it. Although water treatment is done by applying different methods using different materials, no material showed the results as good as graphene-based materials. The current article deliberates not only the main properties of graphene but also their importance in the treatment of water. Besides, the current review also pronounces the method of graphene separation from the water after use and recycling. Efforts are made to discuss the role of graphene materials in the treatment of water. Henceforward, this article will definitely be very helpful for researchers, academicians, and administration authorities who are planning and developing new strategies for the removal of ionic as well as organic impurities from water.
Research on Enterprise Data Management Strategy Analysis System Based on Knowledge Mining Model

The aim of this study is to solve the problem of low decision-making efficiency, this paper discusses the method of decision analysis based on business application data and it puts forward the enterprise data management system based on knowledge mining. The system uses the improved decision tree algorithm for data management, which optimizes the selection of the best threshold segmentation point in the process of discretizing the continuous value feature attributes. An improved decision tree algorithm is proposed and applied to enterprise data management. A method to optimize threshold segmentation points is proposed, which reduces the partition of threshold points and reduces the time complexity of the algorithm. The experimental results show that the operation efficiency and classification accuracy of the model on the abalone dataset are due to the traditional C4.5 algorithm, which can effectively deal with the analysis and management knowledge mining of large-scale enterprise operation data.
THE MOLECULAR GAS DENSITY IN GALAXY CENTERS AND HOW IT CONNECTS TO BULGES

In this paper we present gas density, star formation rate (SFR), stellar masses, and bulge–disk decompositions for a sample of 60 galaxies. Our sample is the combined sample of the BIMA SONG, CARMA STING, and PdBI NUGA surveys. We study the effect of using CO-to-H2 conversion factors that depend on the CO surface brightness, and also that of correcting SFRs for diffuse emission from old stellar populations. We estimate that SFRs in bulges are typically lower by 20% when correcting for diffuse emission. Using the surface brightness dependent conversion factor, we find that over half of the galaxies in our sample have Σmol > 100 M☉ pc−2. Though our sample is not complete in any sense, our results are enough to rule out the assumption that bulges are uniformly gas-poor systems. We find a trend between gas density of bulges and bulge Sérsic index; bulges with lower Sérsic index have higher gas density. Those bulges with low Sérsic index (pseudobulges) have gas fractions that are similar to that of disks. Conversely, the typical molecular gas fraction in classical bulges is more similar to that of an elliptical galaxy. We also find that there is a strong correlation between bulges with the highest gas surface density and the galaxy being barred. However, we also find that classical bulges with low gas surface density can be barred as well. Our results suggest that understanding the connection between the central surface density of gas in disk galaxies and the presence of bars should also take into account the total gas content of the galaxy. Finally, we show that when using the corrected SFRs and gas densities, the correlation between SFR surface density and gas surface density of bulges is similar to that of disks. This implies that at the scale of the bulges the timescale for converting gas into stars is comparable to those results found in disks.
The LOFT wide field monitor

LOFT (Large Observatory For x-ray Timing) is one of the four missions selected in 2011 for assessment study for the ESA M3 mission in the Cosmic Vision program, expected to be launched in 2024. The LOFT mission will carry two instruments with their prime sensitivity in the 2-30 keV range: a 10 m2 class large area detector (LAD) with a <1° collimated field of view and a wide field monitor (WFM) instrument based on the coded mask principle, providing coverage of more than 1/3 of the sky. The LAD will provide an effective area ~20 times larger than any previous mission and will by timing studies be able to address fundamental questions about strong gravity in the vicinity of black holes and the equation of state of nuclear matter in neutron stars. The prime goal of the WFM will be to detect transient sources to be observed by the LAD. However, with its wide field of view and good energy resolution of <300 eV, the WFM will be an excellent monitoring instrument to study long term variability of many classes of X-ray sources. The sensitivity of the WFM will be 2.1 mCrab in a one day observation, and 270 mCrab in 3s in observations of in the crowded field of the Galactic Center. The high duty cycle of the instrument will make it an ideal detector of fast transient phenomena, like X-ray bursters, soft gamma repeaters, terrestrial gamma flashes, and not least provide unique capabilities in the study of gamma ray bursts. A dedicated burst alert system will enable the distribution to the community of ~100 gamma ray burst positions per year with a ~1 arcmin location accuracy within 30 s of the burst. This paper provides an overview of the design, configuration, and capabilities of the LOFT WFM instrument.
A topological horseshoe in a fractional-order Qi four-wing chaotic system

A fractional-order Qi four-wing chaotic system is present based on the Grunwald-Letnikov denition. The existence of topological horseshoe in a fractional chaotic system is analyzed by utilizing topological horseshoe theory. A Poincare section is properly chosen to obtain the Poincare map which is proved to be semi-conjugate to a 2-shift map, implying that the fractional-order Qi four-wing chaotic system exhibits chaos.
Modeling and control of minimal flow unit turbulence in plane Couette flow

We model turbulent plane Couette flow for a minimal flow unit (the smallest domain in which turbulence can be sustained) by expanding the velocity field as a sum of optimal modes calculated via the proper orthogonal decomposition from numerical data. Ordinary differential equations are obtained by Galerkin projection of the Navier-Stokes equations onto these modes. We consider a 6 mode (11-dimensional) model. When losses to neglected modes are ignored, the model captures some aspects of the turbulent state very well, but fails to accurately reproduce the velocity field dynamics. However, when energy-transfer to neglected modes is included, there is strong agreement with results from direct numerical simulations. This model provides empirical evidence that the "backbone" for minimal flow unit turbulence is a periodic orbit. We then calculate the phase response curve for this periodic orbit, which describes the phase-shift of the oscillation as a function of the phase of an impulsive perturbation to the mean flow. We see that, depending on its timing, such a perturbation can either advance or retard the time at which subsequent streak breakdowns occur. This suggests how streak breakdown can be controlled through appropriately timed perturbations.
Statistical Analysis of Diffusion Tensor Imaging

This thesis considers the statistical analysis of diffusion tensor imaging (DTI). DTI is an advanced magnetic resonance imaging (MRI) method that provides a unique insight into biological microstructure \textit{in vivo} by directionally describing the water molecular diffusion. We firstly develop a Bayesian multi-tensor model with reparameterisation for capturing water diffusion at voxels with one or more distinct fibre orientations. Our model substantially alleviates the non-identifiability issue present in the standard multi-tensor model. A Markov chain Monte Carlo (MCMC) algorithm is then developed to study the uncertainty of the model parameters based on the posterior distribution. We apply the Bayesian method to Monte Carlo (MC) simulated datasets as well as a healthy human brain dataset. A region containing crossing fibre bundles is investigated using our multi-tensor model with automatic model selection. A diffusion tensor, a covariance matrix related to the molecular displacement at a particular voxel in the brain, is in the non-Euclidean space of 3x3 positive semidefinite symmetric matrices. We define the sample mean of tensor data to be the Frechet mean. We carry out the non-Euclidean statistical analysis of diffusion tensor data. The primary focus is on the use of Procrustes size-and-shape space. Comparisons are made with other non-Euclidean techniques, including the log-Euclidean, Riemannian, Cholesky, root Euclidean and power Euclidean methods. The weighted generalised Procrustes analysis has been developed to efficiently interpolate and smooth an arbitrary number of tensors with the flexibility of controlling individual contributions. A new anisotropy measure, Procrustes Anisotropy is defined and compared with other widely used anisotropy measures. All methods are illustrated through synthetic examples as well as white matter tractography of a healthy human brain. Finally, we use Gine’s statistic to design uniformly distributed diffusion gradient direction schemes with different numbers of directions. MC simulation studies are carried out to compare effects of Gine’s and widely used Jones' schemes on tensor estimation. We conclude by discussing potential areas for further research.
Electrodynamics of correlated electron materials

We review studies of the electromagnetic response of various classes of correlated electron materials including transition metal oxides, organic and molecular conductors, intermetallic compounds with $d$- and $f$-electrons as well as magnetic semiconductors. Optical inquiry into correlations in all these diverse systems is enabled by experimental access to the fundamental characteristics of an ensemble of electrons including their self-energy and kinetic energy. Steady-state spectroscopy carried out over a broad range of frequencies from microwaves to UV light and fast optics time-resolved techniques provide complimentary prospectives on correlations. Because the theoretical understanding of strong correlations is still evolving, the review is focused on the analysis of the universal trends that are emerging out of a large body of experimental data augmented where possible with insights from numerical studies.
The Relationships between Depression, Suicide Risk and Emotional Cognitive Coping

Background and aim: Emotional cognitive coping strategies are closely correlated with depression and suicide risk. The aim of this study is to explore the particular features of cognitive-emotional coping and their impact on depression levels and suicidal ideation. Methods: The study included a total number of 131 participants, 65 with a clinical diagnosis of depression and 66 controls. Instruments used were: Cognitive Emotion Regulation Questionnaire (CERQ), Columbia Suicide Severity Rating Scale (C-SSRS), Depression Anxiety Stress Scale (DASS21R), Montgomery-Asberg Depression Scale (MADRS), in order to assess the differences between depressive and non-depressive individuals in relation to coping strategies. Results and conclusion: The findings, based on the statistical analysis of the scores obtained on the various psychometric scales, showed significant differences between depressive and non-depressive patients. Also, cognitive-emotional strategies could represent a good predictor to be used in the prevention of suicide risk in depressed patients.
Real-space renormalization group for spectral properties of hierarchical networks

We derive the determinant of the Laplacian for the Hanoi networks and use it to determine their number of spanning trees (or graph complexity) asymptotically. While spanning trees generally proliferate with increasing average degree, the results show that modifications within the basic patterns of design of these hierarchical networks can lead to significant variations in their complexity. To this end, we develop renormalization group methods to obtain recursion equations from which many spectral properties can be obtained. This provides the basis for future applications to explore the physics of several dynamic processes.
Temperature mapping of nanocrystalline diamond foil under intense hydrogen ion beam

We have developed a time-resolved two-dimensional temperature monitoring system using shortwave infrared (SWIR) detection scheme for a nanocrystalline diamond foil under intense hydrogen ion beams with 1.4 MW average power at 1.0 GeV energy in harsh radiation environment. The optical system composed of a light collecting reflective telescope, dichroic and bandpass filters, SWIR and visible CMOS cameras combined with PIN photodiodes and image sampling pinhole mirrors. It receives thermal radiation located at 40 m from the measurement location. The optical design, optical calibration of the system with high temperature blackbody source, measurement results based on two-dimensional temperature mapping and uncertainties will be presented.
Quantum nanophotonics using hyperbolic metamaterials

Engineering optical properties using artificial nanostructured media known as metamaterials has led to breakthrough devices with capabilities from super-resolution imaging to invisibility. In this paper, we review metamaterials for quantum nanophotonic applications, a recent development in the field. This seeks to address many challenges in the field of quantum optics using advances in nanophotonics and nanofabrication. We focus on the class of nanostructured media with hyperbolic dispersion that have emerged as one of the most promising metamaterials with a multitude of practical applications from subwavelength imaging, nanoscale waveguiding, biosensing to nonlinear switching. We present the various design and characterization principles of hyperbolic metamaterials and explain the most important property of such media: a broadband enhancement in the electromagnetic density of states. We review several recent experiments that have explored this phenomenon using spontaneous emission from dye molecules and quantum dots. We finally point to future applications of hyperbolic metamaterials, using the broadband enhancement in the spontaneous emission to construct single-photon sources.