Miracle-dz/UniFAR-FTUs huggingface dataset:
A Catalog of Neighboring Galaxies

We present an all-sky catalog of 451 nearby galaxies, each having an individual distance estimate D ≲ 10 Mpc or a radial velocity VLG < 550 km s-1. The catalog contains data on basic optical and H I properties of the galaxies, in particular, their diameters, absolute magnitudes, morphological types, circumnuclear region types, optical and H I surface brightnesses, rotational velocities, and indicative mass-to-luminosity and H I mass-to-luminosity ratios, as well as a so-called tidal index, which quantifies the galaxy environment. We expect the catalog completeness to be roughly 70%–80% within 8 Mpc. About 85% of the Local Volume population are dwarf (dIr, dIm, and dSph) galaxies with MB > -17.0, which contribute about 4% to the local luminosity density, and roughly 10%–15% to the local H I mass density. The H I mass-to-luminosity and the H I mass-to-total (indicative) mass ratios increase systematically from giant galaxies toward dwarfs, reaching maximum values about 5 in solar units for the most tiny objects. For the Local Volume disklike galaxies, their H I masses and angular momentum follow Zasov's linear relation, expected for rotating gaseous disks being near the threshold of gravitational instability, favorable for active star formation. We found that the mean local luminosity density exceeds 1.7–2.0 times the global density, in spite of the presence of the Tully void and the absence of rich clusters in the Local Volume. The mean local H I density is 1.4 times its "global" value derived from the H I Parkes Sky Survey. However, the mean local baryon density Ωb(< 8 Mpc) = 2.3% consists of only a half of the global baryon density, Ωb = (4.7 ± 0.6)% (Spergel et al., published in 2003). The mean-square pairwise difference of radial velocities is about 100 km s-1 for spatial separations within 1 Mpc, increasing to ∼300 km s-1 on a scale of ∼3 Mpc. also We calculated the integral area of the sky occupied by the neighboring galaxies. Assuming the H I size of spiral and irregular galaxies to be 2.5 times their standard optical diameter and ignoring any evolution effect, we obtain the expected number of the line-of-sight intersections with the H I galaxy images to be dn/dz ∼ 0.4, which does not contradict the observed number of absorptions in QSO spectra.
Dissecting biodiversity: assessing the taxonomic, functional and phylogenetic structure of an insect metacommunity in a river network using morphological and metabarcoding data

Abstract Most empirical metacommunity studies rely solely on morphological identification of taxa, precluding the species-level identification of several biotic groups, which can influence the characterization of metacommunities. DNA metabarcoding enables inference of species and even intraspecific diversity from community samples but has rarely been used to infer metacommunity structure. Here, we combined morphology and metabarcoding to improve the characterization of an insect metacommunity at different identification levels. We included measures of taxonomic, functional and phylogenetic richness, and we evaluated drivers affecting metacommunity structure (i.e., environmental filtering and dispersal). Communities were sampled from an area that included nine perennial, two near-perennial and two intermittent sites in a river network characterized by high hydrological variability. We identified organisms to a mixed (family to species) taxonomic level using morphology, and to operational taxonomic unit (OTU) and haplotype levels using metabarcoding of the mitochondrial cytochrome c oxidase gene. Diptera and Ephemeroptera showed the greatest increases in taxonomic and phylogenetic richness but not biological trait richness with increasing taxonomic resolution. The joint effect of environmental filtering and dispersal was more important than their individual effects in shaping metacommunity structure at all identification levels. Mixed-level and OTU-level identification were more effective than family and haplotype in characterizing the drivers of metacommunity structure. We demonstrate that the greater taxonomic resolution enabled by metabarcoding could improve understanding of metacommunities within river networks, thus enhancing our capacity to predict ecological responses in ecosystems adapting to global change.
Residual-scaled local standard deviations method for estimating noise in hyperspectral images

A new method for estimating noise in hyperspectral images is described in this paper. It is based on the strong between-band correlation of hyperspectral images and the concept of local standard deviations of small imaging blocks. The new method can be used to automatically estimate noise for both radiance and reflectance images. Unlike other methods discussed in this paper, the new method is more reliable for estimating noise in hyperspectral images with diverse land cover types. We successfully applied the new method in estimating noise for Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data.
Invasive Diseases Due to Fatal Staphylococcus caprae Infection: A Case Series and Literature Review

We report a case series of fatal invasive diseases due to Staphylococcus caprae . We describe the first cases of S. caprae sepsis in two italian patients. In the first patient there was also evidence of the fourth case reported in the English language literature of mitral endocarditis. We also discuss the main features of differential diagnosis on the basis of a literature review.
Rainfall and Tropical Cyclone Activity over Vietnam Simulated and Projected by the Non-Hydrostatic Regional Climate Model - NHRCM

This study uses the non-hydrostatic regional climate model (NHRCM) to simulate and project rainfall and tropical cyclone (TC) activity over Vietnam. The simulated precipitation shows that climatic heavy rainfall centers are well captured in the seasonal march. In near and far future, the projected rainfall by NHRCM using outputs of the Meteorological Research Institute atmospheric general circulation model 3.2 with RCP8.5 scenario will clearly decrease in Northwest and Central Vietnam in June–August, while it will remarkably increase in Northeast and Central Vietnam in September–November. The model underestimates TC number and activity area in the first half of the TC season but slightly overestimates in the second half as compared to the best track. Projected TCs indicate a decrease in both TC number and activity area in near and far future. Moreover, the maximum TC number occurs one month late as compared to the present climate, whereas TC number remarkably decreases in July–August in far future. Rainfall induced by TCs increases in North Vietnam in the projected climate as compared to the baseline period. It also increases in mid-Central Vietnam in near future but decreases in southern Central Vietnam in near and far future. Conversely, non-TC rainfall is likely to decrease in North Vietnam in future and in mid-Central Vietnam in near future but increase in southern Central Vietnam in far future.
Flow cytometric analysis of neutrophil myeloperoxidase expression in peripheral blood for ruling out myelodysplastic syndromes: a diagnostic accuracy study

Suspicion of myelodysplastic syndromes (MDS) is one of the commonest reasons for bone marrow aspirate in elderly patients presenting with persistent peripheral blood (PB) cytopenia of unclear etiology. A PB assay that accurately rules out MDS would have major benefits. The diagnostic accuracy of the intra-individual robust coefficient of variation (RCV) for neutrophil myeloperoxidase (MPO) expression measured by flow cytometric analysis in PB was evaluated in a retrospective derivation study (44 MDS cases and 44 controls) and a prospective validation study (68 consecutive patients with suspected MDS). Compared with controls, MDS cases had higher median RCV values for neutrophil MPO expression (40.2% vs. 30.9%; P<0.001). The area under the receiver operating characteristic curve estimates were 0.94 [95% confidence interval (CI): 0.86-0.97] and 0.87 (95%CI: 0.76-0.94) in the derivation and validation studies, respectively. A RCV lower than 30% ruled out MDS with 100% sensitivity (95%CI: 78-100%) and 100% negative predictive value (95%CI: 83-100%) in the prospective validation study. Neutrophil MPO expression measured by flow cytometric analysis in PB might obviate the need for invasive bone marrow aspirate and biopsy for up to 29% of patients with suspected MDS.
A Review of Novel Strategies for Human Periodontal Ligament Stem Cell Ex Vivo Expansion: Are They an Evidence-Based Promise for Regenerative Periodontal Therapy?

Periodontitis is a gingiva disease sustained by microbially associated and host-mediated inflammation that results in the loss of the connective periodontal tissues, including periodontal ligament and alveolar bone. Symptoms include swollen gingiva, tooth loss and, ultimately, ineffective mastication. Clinicians utilize regenerative techniques to rebuild and recover damaged periodontal tissues, especially in advanced periodontitis. Human periodontal ligament stem cells (hPDLSCs) are considered an appealing source of stem cells for regenerative therapy in periodontium. hPDLSCs manifest the main properties of mesenchymal stem cells, including the ability to self-renew and to differentiate in mesodermal cells. Significant progress has been made for clinical application of hPDLSCs; nevertheless, some problems remain, including the small number of cells isolated from each sample. In recent decades, hPDLSC ex vivo expansion and differentiation have been improved by modifying cell culture conditions, especially with the supplementation of cytokines’ or growth factors’ mix, chemicals, and natural compounds, or by using the decellularized extracellular matrix. Here, we analyzed the changes in stemness properties and differentiation potential of hPDLSCs when culturing in alternative media. In addition, we focused on the possibility of replacing FBS with human emoderivates to minimize the risks of xenoimmunization or zoonotic transmission when cells are expanded for therapeutic purposes.
Coding and mathematics: How did coding and collaboration facilitate thinking?

This paper reports on teachers’ perceptions of their students’ learning as part of a project examining the learning that took place when the students used ScratchMaths in their classroom programme. The project used design-based methodology, which incorporated video-recorded classroom excerpts, teacher interviews and teacher analysis and review of their practice. The teachers identified the students’ problem solving, use of unplugged activities and collaborating using explicit mathematical and coding language as ways to facilitate thinking. They also recognised that their own practice evolved into a more faciliatory role, while their understanding of coding processes grew through learning beside, and through, their students.
A Review of the Benefits of Eucalypt Essential Oils for the Human Health and Environment Improvement

: Eucalypt is the vernacular name used to refer to trees of the three genera, Angophora Cav. , Corymbia K. D. Hill & L.A. S. Johnson and Eucalyptus L ‟ Herit. These closely related genera are within the Myrtaceae family and include around 1000 taxa in total, nearly all of which are indigenous to Australia. In China, over 5 million ha of industrial plantations have been established with selected eucalypt taxa. However, there are no plantations in this country managed
Electronic properties of triangular and hexagonal MoS_{2} quantum dots

Using the tight-binding approach, we calculate the electronic structure of triangular and hexagonal MoS2 quantum dots. Due to the orbital asymmetry we show that it is possible to form quantum dots with the same shape but having different electronic properties. The electronic states of triangular and hexagonal quantum dots are explored, as well as the local and total density of states and the convergence towards the bulk spectrum with dot size is investigated. Our calculations show that: (1) edge states appear in the band gap, (2) that there are a larger number of electronic states in the conduction band as compared to the valence band, and (3) the relative number of edge states decreases with increasing dot size.
Mine Diversified Contents of Multispectral Cloud Images Along With Geographical Information for Multilabel Classification

Multispectral multilabel cloud image classification (MSMLCIC) aims to predict a set of labels presented in a multispectral (MS) cloud image, which usually contains more than one cloud type or weather system. However, the exploration of diversified contents reflected by multiple bands of MS image is limited and the consideration of geographical information (time and location information) is insufficient. To cope with the abovementioned problems, this work proposes the multispectral cloud image multilabel classifier with group feature extractor and geo-queries (MS-GoGo). With a group feature extractor, different bands of MS images are processed separately according to the content they reflected, and a group of distinctive yet complementary image features are generated. Geo-queries are responsible for implicitly embedding different labels with time and location information to probe the corresponding similar semantic ingredients. Due to the coarse classification of the existing dataset, a new dataset named LSCIDMR-V2 is generated with fine-grained cloud-type annotation and multichannel data. The experiment shows that, using the group feature extractor and geo-queries, the popular used metric subset accuracy is improved from 40.06 to 42.87 and 44.35, respectively. The proposed method achieves the mean average precision of 82.40, outperforming state-of-the-art methods.
The role of magnetic loops in solar flares

X -ray and ultraviolet observations of flares have provided much important information on their spatial structure and magnetic topology. The early observations from Skylab emphasized the role of simple loops and loop arcades, but later observations from the Solar Maximum Mission have greatly complicated this picture. Flares appear in a multitude of loops with complex spatial and temporal interrelations. In many cases, interactions between different loops appear to play a crucial role. The inferred magnetic topology of solar flares will be reviewed with emphasis on the implications for processes of energy release and transfer. It will be shown that the spatial resolution of the observations obtained so far is still inadequate for solving many basic questions of solar flare research.
Therapeutic Lymphangiogenesis Is a Promising Strategy for Secondary Lymphedema

Secondary lymphedema is caused by lymphatic insufficiency (lymphatic drainage failure) following lymph node dissection during the surgical treatment or radiation therapy of breast or pelvic cancer. The clinical problems associated with lymphedema are reduced quality of life in terms of appearance and function, as well as the development of skin ulcers, recurrent pain, and infection. Currently, countermeasures against lymphedema are mainly physical therapy such as lymphatic massage, elastic stockings, and skin care, and there is no effective and fundamental treatment with a highly recommended grade. Therefore, there is a need for the development of a fundamental novel treatment for intractable lymphedema. Therapeutic lymphangiogenesis, which has been attracting attention in recent years, is a treatment concept that reconstructs the fragmented lymphatic network to recover lymphatic vessel function and is revolutionary to be a fundamental cure. This review focuses on the translational research of therapeutic lymphangiogenesis for lymphedema and outlines the current status and prospects in the development of therapeutic applications.
BEYOND STANDARD MODEL, LHC PHENOMENOLOGY AND DARK MATTER

OF THE DISSERTATION BEYOND STANDARD MODEL, LHC PHENOMENOLOGY AND DARK MATTER by Yue Zhao Dissertation Director: Professor Scott Thomas The standard model in particle physics is such a successful model, which agrees well with almost all experimental tests in the past more than 20 years. However, there is large hope that new physics beyond the standard model would show up in the Large Hadron Collider (LHC). Meanwhile, many direct and indirect dark matter searches have shown signs of potential signals. If confirmed, the properties of the most mysterious but dominant part of matter constitute will be unveiled soon. In this thesis, we mainly have three sections. First, we will talk in detail about LHC phenomenology. This includes several topics, recovering particle masses from missing energy signatures with displaced tracks, diagnosing the top-quark angular asymmetry using LHC intrinsic charge asymmetries, signature searches, including multi-lepton and diphoton searches, in the early LHC. After collider phenomenology, we will discuss a study for dark matter, which is focused on the indirect search, i.e. gamma ray spectra from dark matter annihilation and decay. And in the last section, we will cover several topics about some studies on formal side of physics, including metastable spontaneous SUSY breaking in a landscape of fuzzy droplets, entropic force and its fluctuation from gauge/gravity duality.
Dark to Bright Mode Conversion on Dipolar Nanoantennas: A Symmetry-Breaking Approach

The excitation of plasmonic dark modes via a radiative channel is a phenomenon strongly hindered in the subwavelength regime. Recently, for achieving this purpose it has been proposed to exploit near-field interactions between radiating (bright) modes and lossless dark modes. However, this approach unveils challenging difficulties related to the excitation of dark modes through the near-field coupling with a bright mode. Here, it is experimentally and numerically shown how symmetry breaking applied to a nanoantenna dimer can conversely induce the excitation of plasmonic resonances, which play a key role for the dark modes’ activation in more complex nanoassemblies. On the basis of this study, a T-shaped nanoantenna trimer has been introduced as an elemental unit for the energy transfer between bright and dark modes in plasmonic nanostructures. Finally, we implemented an analytical perturbative model to further investigate the plasmonic hybridization of subwavelength systems.
Airborne FM-CW SAR and Integrated Navigation System Data Fusion

The combination of compact FM-CW radar technology and high resolution SAR pro- cessing techniques should pave the way for the development of a small and cost e®ective imaging radar with high resolution. However, airborne SAR is a very novel application for FM-CW radars. In order to investigate the practicability of FM-CW SAR, an operational airborne demonstrator system has been developed at IRCTR. The integrated navigation system, developed at Delft University of Technology, used for the FM-CW SAR motion compensation is introduced and explained. Motion compensa- tion details, specially the squint angle correction due to the presence of lateral wind and aircraft sideslip angle, are given emphasis in this paper. Results from a °ight campaign, proving the working status of the navigation system and the radar are shown. Flight path reconstruction, using di®erent con¯gurations of the integrated navigation system, is presented. Improvements in the processed radar data due to squint angle compensation are also presented.
Estimating the impact of immediate versus delayed corrections on belief accuracy

ABSTRACT Prior work has found that early corrections are often more effective than corrections encountered sometime after exposure to misinformation. However, these studies have generally considered only brief delays between misinformation exposure and correction, and do not explore processing style as a potential moderator of correction timing. We conducted a two-wave online experiment randomly assigning participants to receive corrections either shortly after exposure or approximately one week later. We find that both immediate and delayed corrections influenced belief accuracy and policy support, but immediate corrections were no more influential than delayed corrections, contrary to earlier findings. In addition, processing style had no moderating effect on the influence of correction timing.
Immunostimulatory Activity of Syneilesis palmata Leaves through Macrophage Activation and Macrophage Autophagy in Mouse Macrophages, RAW264.7 Cells

Syneilesis palmata (SP) is a traditional medicinal plant. SP has been reported to have anti-inflammatory, anticancer, and anti-human immunodeficiency virus (HIV) activities. However, there is currently no research available on the immunostimulatory activity of SP. Therefore, in this study, we report that S. palmata leaves (SPL) activate macrophages. Increased secretion of both immunostimulatory mediators and phagocytic activity was observed in SPL-treated RAW264.7 cells. However, this effect was reversed by the inhibition of TLR2/4. In addition, inhibition of p38 decreased the secretion of immunostimulatory mediators induced by SPL, and inhibition of TLR2/4 decreased the phosphorylation of p38 induced by SPL. SPL augmented p62/SQSTM1 and LC3-II expression. The increase in protein levels of p62/SQSTM1 and LC3-II induced by SPL was decreased by the inhibition of TLR2/4. The results obtained from this study suggest that SPL activates macrophages via TLR2/4-dependent p38 activation and induces autophagy in macrophages via TLR2/4 stimulation.
MAD‐Bayes matching and alignment for labelled and unlabelled configurations

When Professor Mardia presented a seminar on protein structu ral bioinformatics in Bristol in February 2003, I was fascinated by one of the problems he de scrib d, about matching and alignment, impressed by his visual aids (the things you coul d do with overlaid acetates! ), but rather unsatisfied by the inferential approach he took. T he basic problem (which is properly introduced below) involves two key unknown quanti ties – the matching between unspecified subsets of two data clouds and the geometrical tr ansformations the clouds had each been subjected to – and it seemed to me essential to tr ea these two things simultaneously, not sequentially: if that is accepted, the n it is natural to use a Bayesian treatment. I think I said something to this effect in discuss ion, and followed it up later with a proposed model framework, which Professor Mardia and I inv estigated, with the results eventually becoming a Biometrikapaper, Green and Mardia (2006). Some subsequent developments of this idea appear in Mardia e t al. (2007) (using the formal Bayesian fitting algorithm as a numerical techniq ue for refining a nonBayesian solution), Ruffieux and Green (2009) (extending th e idea to alignment of multiple configurations), Green et al. (2010) (largely a review artic le, but describing broader classes of biomolecular matching and alignment problems, and antic ipating extensions to the modelling) and Fallaize et al. (2014) (employing a ’gap prio r’ t use sequence information when it is available). I have also enjoyed robust, but friendly, conversations abo ut the approach with both of the Editors of this volume, each of whom has also made signi fica t contributions to understanding and addressing the problem, including Kent e t al. (2004) and Kenobi and Dryden (2012). This paper revisits inference based on the models like those in Green and Mardia (2006) and Fallaize et al. (2014), using MAD-Bayes, a new perspecti v on fast approximate inference due to Broderick et al. (2013). This view might hel p to reconcile rival paradigms applied to this problem: it turns out to nicely bridge the gap between Bayesian and optimisation approaches to inferring matching and alignme t.