Miracle-dz/UniFAR-FTUs huggingface dataset:
Low‐density neutrophils in chronic graft versus host disease (cGVHD) are primarily immature CD10– and enhance T cell activation

Chronic graft‐versus‐host disease (cGVHD) is a frequent complication of allogeneic haematopoietic stem cell transplantation. Low density neutrophils (LDNs) in autoimmunity, which shares disease features with cGVHD, are proinflammatory, whereas those in cancer and sepsis suppress T cell immunity. Mature LDNs can be distinguished from immature LDNs on the basis of expression of CD10 and suppressive neutrophils can be identified using lectin‐like oxidized low‐density lipoprotein receptor‐1 (LOX‐1) expression. The functionality of LDNs in cGVHD has not been specifically investigated. Here, we have determined the relative contribution of immature and mature neutrophils to LDNs in cGVHD and assessed whether these were suppressive or potentially proinflammatory. Peripheral blood LDNs and normal density neutrophils (NDNs) from 30 cGVHD patients and NDNs from 10 healthy controls (HCs) were immunophenotyped by flow cytometry. The ability of LDNs and NDNs to influence T cell proliferation and cytokine production in co‐cultures was quantified. To further characterize LDNs, their propensity to undergo constitutive apoptosis and differentiate ex vivo was assessed.
A Low-mass Cold and Quiescent Core Population in a Massive Star Protocluster

Pre-stellar cores represent the initial conditions of star formation. Although these initial conditions in nearby low-mass star-forming regions have been investigated in detail, such initial conditions remain vastly unexplored for massive star-forming regions. We report the detection of a cluster of low-mass starless and pre-stellar core candidates in a massive star protocluster-forming cloud, NGC 6334S. With the Atacama Large Millimeter/submillimeter Array (ALMA) observations at a ∼0.02 pc spatial resolution, we identified 17 low-mass starless core candidates that do not show any evidence of protostellar activity. These candidates present small velocity dispersions, high fractional abundances of NH2D, high NH3 deuterium fractionations, and are completely dark in the infrared wavelengths from 3.6 up to 70 μm. Turbulence is significantly dissipated and the gas kinematics are dominated by thermal motions toward these candidates. Nine out of the 17 cores are gravitationally bound, and therefore are identified as pre-stellar core candidates. The embedded cores of NGC 6334S show a wide diversity in masses and evolutionary stages.
Viscosity of melts in the sodium borosilicate system

Etude de la viscosite en fonction de la composition d'une serie de fontes de verre du systeme 5-35 Na 2 O, 5-35B 2 O 3 , 45-80SiO 2 . les viscosites ont ete determinees entre 950 et 1500°C a l'aide d'un viscosimetre a cylindre rotatif
The impact of entrepreneurship on regional economic growth: a perspective of spatial heterogeneity

ABSTRACT The relationship between entrepreneurship and regional economic growth has always been a hot topic for scholars. However, the conclusions of existing studies mostly believe that the spatial variable relationship between the two is a fixed positive relationship and does not change with the change of spatial position, which is obviously contrary to the law of heterogeneity or non-stationarity in the spatial relationship of the real geographic world. This paper proposes a new spatial variable coefficient model, called Mixed Geographically Weighted Panel Regression with Spatial Autoregression (MGWPR-SAR), to study the spatial heterogeneity of the impact of entrepreneurship on the economic growth of 31 provinces and cities in China. Unlike the conclusions of mainstream research, the results of this paper show that the role of entrepreneurship in China’s regional economic growth is not necessarily positive, and it has significant spatial heterogeneity. Entrepreneurship has a positive role in promoting economic growth in the relatively developed regions of the eastern coastal and central regions, while it has a negative effect on economic growth in the relatively backward regions of the west.
How much do network support and managerial skills affect women’s entrepreneurial success? The overlooked role of country economic development

ABSTRACT The success of women-owned businesses with regard to the stages of economic development of countries is under-examined on a global basis. This study explores the relationship between country economic and political contexts and assesses the importance of entrepreneurs’ networks and managerial skills on women’s entrepreneurial success. The research uses data from 22 countries chosen from multi-dimensional country context constructs (i.e., select economic and political factors) and measures both family and external moral and financial support and managerial skills. The results show that stock (managerial skill) and flow (family and non-family support) differentially influence women’s entrepreneurial success in countries at varying levels of competitive development. In particular, the results confirm the positive influence of managerial skills and family moral and financial support on women’s entrepreneurial success (based on annual income) in countries at a higher level of competitive development and confirm their negative influence in countries at a lower level of competitive growth. Moreover, the results reveal influences of non-family financial support (positive for highly competitive countries) on income but not non-family moral support. Public policy implications are discussed.
Reorienting Cultural Policy: Arts Industries’ Approach in South Korea

Abstract The debate on the industrialization of the arts arose from a need for rationalization strategies in the creative arts field. This article examines South Korea’s industrialization of the arts initiatives and related discourse during 2004–2018. Highlighting the polarized policy development of the creative arts and cultural industries as an obstacle to the growth of arts fields, the study proposes reorienting the cultural policy from simple distributive arts policy and beyond industrial policy that considers arts a subset. An arts industries’ approach is suggested as a more inclusive policy stance that accommodates nonprofit arts fields, entrepreneurial arts businesses, and related industries.
A quantitative-based model to assess seed accelerators’ performance

ABSTRACT Seed accelerators are a new generation of business incubators. While the number of seed accelerators worldwide has grown exponentially, there is as yet no consensus on how to measure and analyse their performance. Therefore, the present study, using two pioneering surveys, aims to cast new light on this field by empirically assessing the performance of accelerators and the prospects of their accelerated firms. A model is built on two perspectives that are used to assess the prospects of the accelerated firms: (1) the accelerator´s perspective, and (2) the accelerated start-ups’ perspective. The results confirmed, at statistically significant levels, that the portfolio size of accelerators, their start-ups´ survival rates, and the number of employees in the accelerated firms, have a positive effect on the median value of the funding received by the accelerated start-ups from the accelerators’ funds. Furthermore, accelerators located in the U.S., and those with the greatest longevity, are shown to have a higher impact on start-ups´ survival rates. The study is not free of limitations, but its findings contribute to the still scarce quantitative literature on the performance of accelerators, and provide important managerial implications for their managers, investors, and entrepreneurs.
Dynamic Coupling of Learning with Operational Processes

Volatile environments, such as today's digital eco systems, require dynamically adaptable infrastructures and technologies. In order to keep up with ongoing developments, stakeholder operation can benefit from enriching processes with features for effective capacity building. Consequently, learning technologies need to be coupled with workflow components when required. We propose a corresponding architecture and development approach. Design and execution are message-driven, and enable dynamic coupling of interoperable interaction and workflow components. We demonstrate the intertwining, and exemplify essential benefits, including aligned cognitive and social capacity building. Stakeholders can continue social media interaction they are familiar to, while learning to advance in managing their business processes.
Transient global amnesia with bilateral hippocampal lesions during the COVID‐19 global outbreak

This manuscript presents a case report of transient global amnesia with bilateral hippocampal lesions which might be triggered by the fear of getting infected by coronavirus disease 2019 (COVID‐19). The purpose of this article is to facilitate the clinicians in understanding that an increasing number of patients with transient global amnesia have been reported during the COVID‐19 global outbreak
Tin(IV) and Antimony(V) Complexes Bearing Catecholate Ligands Connected to Ferrocene – Syntheses, Molecular Structures, and Electrochemical Properties

New ferrocenyl-containing 3,5-di-tert-butylcatechol Fc-L-CatH2 (2) was synthesized by the condensation of precursor 6-(hydrazоnоmethyl)-3,5-di-tert-butylcatechol 6-(H2N-N=CH)-CatH2 (1) with ferrocenecarboxaldehyde (L is -CH=N-N=CH- group; Cat - 3,5-di-tert-butyl-catecholate, Fc - ferrocene). The exchange reaction between catechol 2 and Ph3SbBr2 in the presence of base (Et3N) in toluene media leads to the formation of triphenylantimony(V) catecholate (Fc-L-Cat)SbPh3 (3) as the main product and ionic bromotriphenylantimony(V) catecholate (Fc-LH-Cat)SbPh3Br (4) containing hydraziniumylidene cation (LH is -CH=NH+-N=CH-) as the biproduct. The change of toluene with THF results in a formation of 4 as a main product with nearly quantitative yield. The exchange reaction of catechol 2 with Ph2SnCl2 and SnCl4 even in the presence of excess base gives anionic catecholate complexes bridged with hydraziniumylidene cation. Complexes (Fc-LH-Cat)SnPh2Cl (5), (Fc-LH-Cat)2SnPh2 (6), (Fc-LH-Cat)2SnCl2 (7) were synthesized. The compounds obtained were characterized by IR, 1H and 13C NMR spectroscopy, elemental analysis and cyclic voltammetry. The molecular structures of 5-7 in crystals were determined by X-ray analysis. The formation of catecholates 4-7 with hydraziniumylidene cation is caused by the intramolecular hydrogen bonding between hydroxyl and imine groups leading to the proton transfer from oxygen atom to nitrogen of hydrazine linker.
Cost-Effective Mapping of Genetic Interactions in Mammalian Cells

Comprehensive maps of genetic interactions in mammalian cells are daunting to construct because of the large number of potential interactions, ~ 2 × 108 for protein coding genes. We previously used co-inheritance of distant genes from published radiation hybrid (RH) datasets to identify genetic interactions. However, it was necessary to combine six legacy datasets from four species to obtain adequate statistical power. Mapping resolution was also limited by the low density PCR genotyping. Here, we employ shallow sequencing of nascent human RH clones as an economical approach to constructing interaction maps. In this initial study, 15 clones were analyzed, enabling construction of a network with 225 genes and 2359 interactions (FDR < 0.05). Despite its small size, the network showed significant overlap with the previous RH network and with a protein-protein interaction network. Consumables were ≲ $50 per clone, showing that affordable, high quality genetic interaction maps are feasible in mammalian cells.
Photocatalysis of Phenol Using a Spinning Disc Photoreactor Immobilized with TiO2 Nanoparticles: Hydrodynamic Modeling and Reactor Optimization

A spinning disc photoreactor using immobilized TiO2 on a stainless steel disc is employed to study the degradation of phenol in aqueous solutions. The characterizations of the immobilized TiO2 film are carried out by scanning electron microscopy, field emission scanning electron microscopy, X-ray diffraction, Brunauer–Emmett–Teller analysis, and tensile adhesion test. The Box–Behnken design method is employed to identify the effects of three key operational parameters. The maximum predicted nanophotocatalytic degradation percent of phenol was 100% at the optimum processing condition (rotational speed, 290 rpm; flow rate, 2000 mL/min; and disc diameter, 22 cm). For a description of the flow pattern, the residence time distribution analysis is performed. By using a tanks-in-series model the equivalent number of continuous stirred tanks reactors at the obtained optimum condition was four. Hydrodynamic and kinetic models were combined to predict the degradation of phenol. Good agreement between the experiment.
Time-averaging and emerging nonergodicity upon resetting of fractional Brownian motion and heterogeneous diffusion processes

How different are the results of constant-rate resetting of anomalous-diffusion processes in terms of their ensemble-averaged versus time-averaged mean-squared displacements (MSDs versus TAMSDs) and how does the process of stochastic resetting impact nonergodicity? These are the main questions addressed in this study. Specifically, we examine, both analytically and by stochastic simulations, the implications of resetting on the MSD-and TAMSD-based spreading dynamics of fractional Brownian motion (FBM) with a long-time memory, of heterogeneous diffusion processes (HDPs) with a power-law-like space-dependent diffusivity D(x) = D0 |x| γ, and of their “combined” process of HDP-FBM. We find, i.a. , that the resetting dynamics of originally ergodic FBM for superdiffusive choices of the Hurst exponent develops distinct disparities in the scaling behavior and magnitudes of the MSDs and mean TAMSDs, indicating so-called weak ergodicity breaking (WEB). For subdiffusive HDPs we also quantify the nonequivalence of the MSD and TAMSD, and additionally observe a new trimodal form of the probability density function (PDF) of particle’ displacements. For all three reset processes (FBM, HDPs, and HDP-FBM) we compute analytically and verify by stochastic computer simulations the short-time (normal and anomalous) MSD and TAMSD asymptotes (making conclusions about WEB) as well as the long-time MSD and TAMSD plateaus, reminiscent of those for “confined” processes. We show that certain characteristics of the reset processes studied are functionally similar, despite the very different stochastic nature of their nonreset variants. Importantly, we discover nonmonotonicity of the ergodicity breaking parameter EB as a function of the resetting rate r. For all the reset processes studied, we unveil a pronounced resetting-induced nonergodicity with a maximum of EB at intermediate r and EB ∼ (1/r)-decay at large r values. Together with the emerging MSD-versus-TAMSD disparity, this pronounced r-dependence of the EB parameter can be an experimentally testable prediction. We conclude via discussing some implications of our results to experimental systems featuring resetting dynamics.
Biochemical Aspects of Enhanced Biological Phosphorus Removal from Wastewater

Enhanced biological phosphorus removal from wastewater by means of microorganisms found in activated sludge has for the past few years been the subject of much research and it is now commonly recognized that an activated sludge system must include alternating anaerobic-aerobic periods. The present article covers biochemical aspects of this phenomenon using a phosphorus removing biomass obtained in a laboratory-scale pilot with alternating phases and a synthetic substrate feed. The percentage of phosphorus obtained in the pilot sludge was four times greater than that of a conventional sludge plant. By exposing the same biomass to different conditions and using 31P Nuclear Magnetic Resonance, we were able to accurately pin-point the various forms of phosphorus found within cells and follow their development during the course of alternating phases. The following results were obtained: Various microbiological analyses made on the pilot biomass isolated conventional bacteria found in activated sludge.
Synovial Gene Signatures Associated with the Development of Rheumatoid Arthritis in At Risk Individuals: a Prospective Study

Background Previous work has shown subtle infiltration of synovial T cells in the absence of overt synovial inflammation in individuals at risk of developing rheumatoid arthritis (RA). Objective To study the molecular changes in synovium preceding arthritis development in at risk individuals. Materials and methods We included sixty-seven individuals with arthralgia who were IgM rheumatoid factor (RF) and/or anti-citrullinated protein antibody (ACPA) positive and without any evidence of arthritis. All individuals underwent mini-arthroscopic synovial tissue sampling of a knee joint at baseline and were followed prospectively. An explorative genome-wide transcriptional profiling study was performed on synovial tissue using Agilent arrays (discovery cohort). Survival analysis was used to identify transcripts associated with arthritis after follow up. Expression levels of differentially expressed genes were validated using quantitative real-time PCR (qPCR). Immunohistochemistry was used to study gene candidates at the protein level in situ. Results In the discovery cohort, 6 of the 13 at risk individuals developed RA after a median follow-up time of 20 months (IQR 2 – 44; pre-RA). The 7 individuals who did not develop RA had a median follow-up time of 85 months (IQR 69 – 86). Using a False Discovery Rate of <5% we found increased expression of 3,151 transcripts correlating with a higher risk of arthritis development, whereas increased expression of 2,437 transcripts correlated with a lower risk. Gene set enrichment analysis revealed that synovial biopsies of pre-RA individuals display higher expression of genes involved in several immune response-related pathways compared with biopsies of individuals who did not develop RA. In contrast, lower expression was observed for genes involved in extracellular matrix receptor interaction, Wnt-mediated signal transduction and lipid metabolism. Two-way hierarchical cluster analysis of 27 genes measured by qPCR classified the synovial biopsies of 61 individuals into two groups, where pre-RA individuals (n=16) showed a preference to cluster together. Synovial tissue from pre-RA individuals were more likely to show podoplanin positive cells and lower lipid staining compared with synovial tissue from individuals who did not develop RA. Conclusion Molecular changes can be detected in synovial tissues before clinical onset of arthritis. Alterations in the immune response genes and lipid metabolism are associated with development of arthritis.
A massively parallel reporter assay reveals focused and broadly encoded RNA localization signals in neurons

Asymmetric subcellular localization of mRNA is a common cellular phenomenon that is thought to contribute to spatial gene regulation. In highly polar neurons, subcellular transcript localization and translation are thought to enhance cellular efficiency and timely responses to external cues. Although mRNA localization has been observed in many tissues and numerous examples of the functional importance of this process exist, we still lack a systematic understanding of how the transcript sorting machinery works in a sequence-specific manner. Here, we addressed these gaps by combining subcellular transcriptomics and rationally designed sequence libraries. We developed a massively parallel reporter assay (MPRA) for mRNA localization and tested ~50,000 sequences for their ability to drive RNA localization to neurites of neuronal cell lines. By scanning the 3’UTR of >300 genes we identified many previously unknown localization regions and mapped the localization potential of endogenous sequences. Our data suggest two ways the localization potential can be encoded in the 3’UTR: focused localization motifs and broadly encoded localization potential based on small contributions. We identified sequence motifs enriched in dendritically localized transcripts and tested the potential of these motifs to affect the localization behavior of an mRNA. This assay revealed sequence elements with the ability to bias localization towards neurite as well as soma. Depletion of RNA binding proteins predicted or experimentally shown to bind these motifs abolished the effect on localization, suggesting that these motifs act by recruiting specific RNA-binding proteins. Based on our dataset we developed machine learning models that accurately predict the localization behavior of novel sequences. Testing this predictor on native mRNA sequencing data showed good agreement between predicted and observed localization potential, suggesting that the rules uncovered by our MPRA also apply to the localization of native transcripts. Applying similar systematic high-throughput approaches to other cell types will open the door for a comparative perspective on RNA localization across tissues and reveal the commonalities and differences of this crucial regulatory mechanism.
Inositol Polyphosphate-5-Phosphatase K (Inpp5k) Enhances Sprouting of Corticospinal Tract Axons after CNS Trauma

Failure of CNS neurons to mount a significant growth response after trauma contributes to chronic functional deficits after spinal cord injury. Activator and repressor screening of embryonic cortical neurons and retinal ganglion cells in vitro and transcriptional profiling of developing CNS neurons harvested in vivo have identified several candidates that stimulate robust axon growth in vitro and in vivo. Building on these studies, we sought to identify novel axon growth activators induced in the complex adult CNS environment in vivo. We transcriptionally profiled intact sprouting adult corticospinal neurons (CSNs) after contralateral pyramidotomy (PyX) in nogo receptor-1 knock-out mice and found that intact CSNs were enriched in genes in the 3-phosphoinositide degradation pathway, including six 5-phosphatases. We explored whether inositol polyphosphate-5-phosphatase K (Inpp5k) could enhance corticospinal tract (CST) axon growth in preclinical models of acute and chronic CNS trauma. Overexpression of Inpp5k in intact adult CSNs in male and female mice enhanced the sprouting of intact CST terminals after PyX and cortical stroke and sprouting of CST axons after acute and chronic severe thoracic spinal contusion. We show that Inpp5k stimulates axon growth in part by elevating the density of active cofilin in labile growth cones, thus stimulating actin polymerization and enhancing microtubule protrusion into distal filopodia. We identify Inpp5k as a novel CST growth activator capable of driving compensatory axon growth in multiple complex CNS injury environments and underscores the veracity of using in vivo transcriptional screening to identify the next generation of cell-autonomous factors capable of repairing the damaged CNS. SIGNIFICANCE STATEMENT Neurologic recovery is limited after spinal cord injury as CNS neurons are incapable of self-repair post-trauma. In vitro screening strategies exploit the intrinsically high growth capacity of embryonic CNS neurons to identify novel axon growth activators. While promising candidates have been shown to stimulate axon growth in vivo, concomitant functional recovery remains incomplete. We identified Inpp5k as a novel axon growth activator using transcriptional profiling of intact adult corticospinal tract (CST) neurons that had initiated a growth response after pyramidotomy in plasticity sensitized nogo receptor-1-null mice. Here, we show that Inpp5k overexpression can stimulate CST axon growth after pyramidotomy, stroke, and acute and chronic contusion injuries. These data support in vivo screening approaches to identify novel axon growth activators.