Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunoregulatory functions of mature CD10+ and immature CD10– neutrophils in sepsis patients

Introduction Neutrophil plays a more and more important role in sepsis with paralysis of immunoregulation. Till now, there was no biomarker to identify and isolate the mature and immature neutrophils in sepsis patients. CD10 shows on mature neutrophils at the latest stages of its differentiation. Our study aimed to investigate whether CD10 was a valid biomarker for distinguishing immature and mature neutrophil subgroups under septic conditions and their immunoregulatory effects on lymphocytes. Methods Totally 80 healthy volunteers and 107 sepsis patients were recruited in this study. Fluorescence-conjugated anti-CD66b, and anti-CD10 monoclonal antibodies followed by incubation with specific anti-fluorochrome microbeads was used to isolate different subgroups of neutrophils. T cell apoptotic assays and T cell proliferation assays followed by flow cytometry analysis were used to evaluate the immunoregulatory effect of each subgroup of neutrophils. Results (1) The cytological morphology of CD10+ neutrophils was mature and that of CD10– neutrophils was immature in sepsis patients. (2) Mature CD10+ neutrophils inhibited the proliferation of T cell and immature CD10– neutrophils promoted the T cell proliferation. Conclusion (1) CD10 was a good biomarker to distinguish mature from immature neutrophils in sepsis patients. (2) Mature CD10+ and immature CD10– neutrophils displayed opposite immunoregulatory effects on T cells in sepsis patients.
Urban housing prices, female labor participation, and economic development in china: A theoretical and empirical analysis

China's housing distribution system has undergone a major transformation, and the country's housing markets have experienced a rapid price increase. However, the extent to which urban housing prices influence female labor participation (FLP) in labor decision-making and how the FLP rate affects economic development has not been sufficiently investigated. Accordingly, we first build a theoretical neoclassical economic development model that includes housing consumption factors to estimate the effect of housing price dynamics on FLP. We then use the 2017 China Family Panel Studies (CFPS) database to empirically estimate the intrinsic relationship between urban housing prices, FLP, and economic development through the lens of the balanced growth path, and we come up with four main findings. First, the theoretical model demonstrates that rising housing prices increase FLP, stimulating economic development. However, an excessive increase in housing prices will undermine women's ability to drive economic development. Second, the empirical evidence shows that a unit increase in housing prices increases the probability of FLP by 0.186%. Third, the effects of housing prices on economic development vary across China's Eastern, Central, and Northeastern regions. Finally, the threshold model shows that FLP positively influences economic development until the housing price logarithm reaches 8.8134, after which FLP's beneficial effect on economic development will be diminished.
Melting curve of lithium from quantum molecular-dynamics simulations

The melting curve of lithium was computed using the Z-method microcanonical molecular-dynamics simulations for pressures up to 30 GPa. They show good agreement with the experimental and two-phase simulated results. The change of the melting line slope from positive to negative was predicted by the characteristic shape inversion of the Z curve at about 8.2 GPa. Through analyzing the static properties, we conclude that no liquid-liquid phase transition accompanies the occurrence of the melting line maximum, which is caused by the higher compressibility of the liquid phase compared to the solid phase. In addition, we systematically studied the dynamic and optical properties of lithium near the melting curve at critical superheating and melting temperatures. It was suggested that the spectra difference at critical superheating and melting temperature may be able to diagnose the homogeneous melting.
Comprehensive expression analysis with cell-type-specific transcriptome in ALS-linked mutant SOD1 mice: Revisiting the active role of glial cells in disease

Non-cell autonomous mechanisms are involved in the pathogenesis of amyotrophic lateral sclerosis (ALS), an adult neurodegenerative disease characterized by selective motor neuron loss. While the emerging role of glial cells in ALS has been noted, the detailed cell-type-specific role of glial cells has not been clarified. Here, we examined mRNA expression changes using microarrays of the spinal cords of three distinct lines of mutant superoxide dismutase (SOD) 1 transgenic mice, an established ALS model. Our analysis used a transcriptome database of component cell types in the central nervous system (CNS), as well as SOD1G93A cell-type transcriptomes. More than half of the differentially expressed genes (DEGs) were highly expressed in microglia, and enrichment analysis of DEGs revealed that immunological reactions were profoundly involved and some transcription factors were upregulated. Our analysis focused on DEGs that are highly expressed in each cell type, as well as chemokines, caspases, and heat shock proteins. Disease-associated microglial genes were upregulated, while homeostatic microglial genes were not, and galectin-3 (Mac2), a known activated microglial marker, was predicted to be ectopically expressed in astrocytes in mutant SOD1 mice. In mutant SOD1 mice, we developed a prediction model for the pathophysiology of different cell types related to TREM2, apolipoprotein E, and lipoproteins. Our analysis offers a viable resource to understand not only the molecular pathologies of each CNS constituent cell type, but also the cellular crosstalk between different cell types under both physiological and pathological conditions in model mice for various neurodegenerative diseases.
Socio-demographic indicators of self-reported health based on EQ-5D-3L: A cross-country analysis of population surveys from 18 countries

Background Generic health-related quality of life instruments, such as the EQ-5D, are increasingly used by countries to monitor population health via general population health surveys. Our aim was to demonstrate analytic options to measure socio-demographic differences in self-reported health using the EuroQol Group's archive of EQ-5D-3L population surveys that accumulated over the past two decades. Methods Analyses captured self-reported EQ-5D-3L data on over 100,000 individuals from 18 countries with nationally representative population surveys. Socio-demographic indicators employed were age, sex, educational level and income. Logistic regression odds ratios and the health concentration index methodology were used in the socio-demographic analysis of EQ-5D-3L data. Results Statistically significant socio-demographic differences existed in all countries (p < 0.01) with the EQ VAS based health concentration index varying from 0.090 to 0.157 across countries. Age had generally the largest contributing share, while educational level also had a consistent role in explaining lower levels of self-reported health. Further analysis in a subset of 7 countries with income data showed that, beyond educational level, income itself had an additional significant impact on self-reported health. Among the 5 dimensions of the EQ-5D-3L descriptive system, problems with usual activities and pain/discomfort had the largest contribution to the concentration of overall self-assessed health measured on the EQ VAS in most countries. Conclusion The EQ-5D-3L was shown to be a powerful multi-dimensional instrument in the analyses of socio-demographic differences in self-reported health using various analytic methods. It offered a unique insight of inequalities by health dimensions.
Untargeted metabolomics reveals the effect of rearing systems on bone quality parameters in chickens

The objective of this study was to investigate the effects of rearing systems on the bone quality parameters in chickens using a metabolomics strategy. A total of 419 male one-day-old chicks were randomly allocated to two groups, a floor rearing group (FRG, n = 173) and a cage rearing group (CRG, n = 246). At 6, 8, 10, and 12 weeks of age, all chickens were radiographed by a digital X-ray machine, and body weight was recorded. At 12 weeks of age, 12 birds were selected from each group to obtain tibia and femur, and bone quality parameters of bone mineral density (BMD), mineral content (BMC), breaking strength (BBS), stiffness, Young’s modulus (YM), ash content, calcium content, and phosphorus content were determined. An untargeted metabolomics assay was performed to identify changes in the serum metabolic profile (n = 8 birds/group). The results showed that cage-reared chickens had wider tibiae and greater body weight compared with floor-reared chickens. There were no significant differences in BMC or BBS between the two groups (p > 0.05), but BMD, ash content, calcium content, and phosphorus content of the tibia and femur of FRG were significantly higher than those of CRG (p < 0.05). Greater stiffness and YM of the femur were also observed in birds raised in the FRG compared with those raised in the CRG (p < 0.05). Taken together, the results suggest that rearing systems affected bone quality parameters. Furthermore, 148 and 149 differential metabolites were identified in positive and negative ion modes by LC-MS/MS analysis, among which 257 metabolites were significantly correlated with 16 bone quality parameters, including leucine, myristoleic acid, glycocholic acid, and N-phenylacetamide. KEGG analysis indicated that 15 metabolic pathways, including six pathways of amino acid metabolism, two pathways of lipid metabolism, and two pathways of carbohydrate metabolism, were responsible for bone quality. Overall, the present study demonstrated the effect of rearing systems on bone quality parameters, and identified several metabolites and metabolic pathways associated with bone quality parameters.
Use of mixed methods research in intervention studies to increase young people’s interest in STEM: A systematic methodological review

Introduction Mixed methods research intervention studies integrate quantitative evaluation approaches, such as randomized controlled trials and quasi-experimental designs, with qualitative research to evaluate the effectiveness, efficacy, or other results of an intervention or program. These types of studies, which have attracted growing attention in recent years, enhance the scope and rigor of the evaluation. While various frameworks that summarize the justifications for carrying out these types of studies and provide implementation guidance have been published in the last few years in the health sciences, we do not know whether such frameworks have been properly implemented in the social and educational sciences. This review examined the methodological features and reporting practices of mixed methods intervention studies aimed at increasing young people’s interest in STEM. Methods A systematic search was carried out in APA PsycNET, ERIC, ProQuest, Scopus, and Web of Science, and a hand search in 20 journals. We included peer-reviewed English-language articles that reported intervention studies with a quantitative component measuring outcomes specific to increasing secondary school students’ interest in STEM fields, a qualitative component conducted before, during, or after the quantitative component, and evidence of integration of both components. Qualitative content analysis and ideal-type analysis were used to synthesize the findings. Results We found 34 studies; the majority published in the last ten years. Several patterns of mixed methods application were described in these studies, illustrating the unique insights that can be gained by employing this methodology. The reporting quality of the included studies was generally adequate, especially regarding the justification for using a mixed methods intervention design and the integration of the quantitative and qualitative components. Nonetheless, a few reporting issues were observed, such as a lack of detail in the presentation of the mixed methods design, an inadequate description of the qualitative sampling and analysis techniques, and the absence of joint displays for representing integration. Discussion Authors must pay attention to these issues to ensure that the insights obtained by the use of mixed methods research are effectively communicated.
The origin of molecular protostellar outflows

We study the geometry of the large scale magnetic field threading the centrifugally supported circumstellar disk that forms in the inner few hundred AU of a dynamically collapsing protostellar molecular cloud core. The disk is highly turbulent, therefore highly diffusive, thus unable by itself to sufficiently stretch and bend the large scale magnetic field so as to launch magnetically driven winds from its surface. However, when we take proper account of the fact that the magnetic field is already highly stretched and bent in the outside dynamically collapsing cloud core, we discover that this contributes to significant outward magnetic field bending around the outer edge of the inner protoplanetary disk too. We obtain the field geometry self–consistently under general simplifying approximations. We also show how this magnetic field geometry leads naturally to strong magneto-centrifugally driven outflows from the surface of the disk, with mass loss rates a significant fraction of the accretion rate onto the inner disk. Our simple picture describes naturally the origin of the molecular winds observed during the end stages of protostellar cloud collapse.
Planar and Conical Boundary Layer Stability Experiments at Mach 5

As part on an investigation on hypersonic boundary layer transition, first sucessful hot-wire and fluctuating pressure measurements have been conducted in the Ludwieg-Tube facility of DLR at Mach number M infinity = 5. The distrubance amplitudes (rms-values) of the fluctuations of Pitot pressure and mass flow are smaller than the values measured in conventional, i.e. continuoulsy driven or blowdown type, hypersonic wind-tunnels. Hot-wire measurements in the laminar boundary layer on a flat plate and on a cone in the same windtunnel at Mach 5 did not show the expected dominance of high-frequency second mode instabilities, as predicted by linear stability theory and found in other experiments. However, the growth of natural disturbances within a broad frequency band up to 50 kHz could be observed on the flat plate. The measured amplification rates are in good agreement with theoretical results for three dimensional first mode disturbances.
Resonant inverse photoemission in cerium-based materials

The Ce 4f part of the electron addition spectra of cerium compounds is selectively and resonantly enhanced when the excitation energy coincides with the Ce 3d{r_arrow}4f (M{sub 4,5}) absorption edge. Different spectral features, corresponding to 4f{sup 1} and 4f{sup 2} configurations in the final state, exhibit distinct resonance profiles. The relative intensities of the f{sup 1} and f{sup 2} resonances may vary by as much as a factor of 50, according to the strength of the hybridization between 4f and conduction-band states. At resonance the spectral line shape is unambiguously modified when the temperature is varied across the characteristic Kondo temperature. {copyright} {ital 1997} {ital The American Physical Society}
Locating Type II-P Supernovae Using the Expanding Photosphere Method. I. Comparing Distances from Different Line Velocities

W present the results of our work testing a version of the Expanding Photosphere Method (EPM) used by Hamuy et al. and Dessart & Hillier to calculate distances to Type II-P supernovae, accounting for the deviations of their luminosities from those of true blackbodies. This method was applied to a sample of supernovae with data sets covering different postexplosion time periods. Different spectral lines in visible wavelengths—Hβ, He i, Fe ii, Sc ii, Na i, and Ba ii—are used to measure the expansion velocity with the goal of determining the species that produces the most reliable distance determination when combined with the blackbody temperature of the effective photosphere. This research suggests that Hβ, Fe ii, and Ba ii lines are most likely to yield accurate distances when combined with blackbody temperature, and provides further evidence of EPM’s effectiveness as an indicator of distance, provided we have a minimum of three data sets covering a broad range of postexplosion phases of the supernova.
A low cosmic microwave background variance in the Wilkinson Microwave Anisotropy Probe data

We have estimated the cosmic microwave background (CMB) variance from the three-year Wilkinson Microwave Anisotropy Probe (WMAP) data, finding a value which is significantly lower than the one expected from Gaussian simulations using the WMAP best-fitting cosmological model, at a significance level of 98.7 per cent. This result is even more prominent if we consider only the North ecliptic hemisphere (99.8 per cent). Different analyses have been performed in order to identify a possible origin for this anomaly. In particular, we have studied the behaviour of single-radiometer and single-year data as well as the effect of residual foregrounds and 1/f noise, finding that none of these possibilities can explain the low value of the variance. We have also tested the effect of varying the cosmological parameters, finding that the estimated CMB variance tends to favour higher values of n S than the one of the WMAP best-fitting model. In addition, we have also tested the consistency between the estimated CMB variance and the actual measured CMB power spectrum of the WMAP data, finding a strong discrepancy. A possible interpretation of this result could be a deviation from Gaussianity and/or isotropy of the CMB.
Can Koreans be 'FREE' from mask wearing?: Advanced mathematical model can suggest the idea

Background It was found that more than half of the population in Korea had a prior COVID-19 infection. In 2022, most nonpharmaceutical interventions, except mask-wearing indoors, had been lifted. Discussions about easing the indoor mask mandate are ongoing. Methods We developed an age-structured compartmental model that distinguishes vaccination history, prior infection, and medical staff from the rest of the population. Contact patterns among hosts were separated based on age and location. We simulated scenarios with the lifting of the mask mandate all at once or sequentially according to the locations. Furthermore, we investigated the impact of a new variant assuming that it has higher transmissibility and risk of breakthrough infection. Findings We found that the peak size of administered severe patients might not exceed 1,100 when the mask mandate is lifted everywhere, and 800 if the mask mandate only remains in the hospital. If the mask mandate is lifted in a sequence (except hospital), then the peak size of administered severe patients did not exceed 650. Moreover, if the new variant have both of higher transmissibility and immune reduction therefore the effective reproductive number of the new variant is approximately 3 times higher than the current variant, additional interventions may be needed to keep the administered severe patients from exceeding 2,000, which is the critical level we set. Interpretation Our findings showed that the lifting of the mask mandate, except in hospitals, would be applicable more manageable if it is implemented sequentially. Considering a new variant, we found that depending on the population immunity and transmissibility of the variant, wearing masks and other interventions may be necessary for controlling the disease.
The value of Admission Avoidance: Cost-Consequence Analysis of one-year activity in a consolidated service

Background: Many advantages of hospital at home (HaH), as a modality of acute care, have been highlighted, but controversies exist regarding the cost-benefit trade-offs. Objective: To assess health outcomes and analytical costs of hospital avoidance (HaH-HA) in a consolidated service with over ten years of delivery of HaH in Barcelona (Spain). Methods: A retrospective cost-consequence analysis of all first episodes of HaH-HA, directly admitted from the emergency room (ER) between 2017 and 2018, was carried out. HaH-HA was compared with a propensity-score-matched group of contemporary patients admitted to conventional hospitalization (Controls). Mortality, re-admissions, ER visits, and direct healthcare costs were evaluated. Registration: ClinicalTrials.gov (26/04/2017; NCT03130283). Results: HaH-HA and Controls (n=441 each) were comparable in terms of age (73 [SD16] vs 74 [16]), gender (male, 57% vs 59%), multimorbidity, healthcare expenditure during the previous year, case mix index of the acute episode, and main diagnosis at discharge. HaH-HA presented lower mortality during the episode (0 vs. 19 (4.3%); p < 0.001). At 30 days post-discharge, HaH-HA and Controls showed similar re-admission rates; however, ER visits were lower in HaH-HA than in Controls (28 (6.3%) vs 34 (8.1%); p = 0.044). Average costs per patient during the episode were lower in the HaH-HA group (1,078 EUR) than in Controls (2,171 EUR). Likewise, healthcare costs within the 30 days post-discharge were also lower in HaH-Ha than in Controls (p < 0.001). Conclusions: The study showed higher performance and cost reductions of HaH-HA in a real-world setting. The identification of sources of savings facilitates scaling of hospital avoidance. Funding: This article was funded by JADECARE project- HP-JA-2019 - Grant Agreement number 951442 (2020-2023), a European Union Health Program 2014-2020. Keywords: Hospital at home; Early readmissions; Health Services Research; Implementation science; Transitional Care.
Plasma relaxation and the turbulent dynamo

Ideal magnetohydrodynamic (MHD) turbulence may be represented by finite Fourier series whose independent coefficients form a canonical ensemble described by a Gaussian probability density function containing a Hermitian covariance matrix with positive eigenvalues. When the eigenvalues at lowest wave number are very small, a large-scale coherent structure appears: a turbulent dynamo, which is seen in computations. A theoretical explanation is given and contains Taylor’s theory of force-free states. Numerical effects are examined and it is shown that larger grid sizes and smaller time steps provide for better resolution of coherent structure. Ideal hydrodynamic (HD) turbulence is examined and the results are compared and contrasted with those of ideal MHD turbulence. In particular, coherent structure appears in ideal MHD turbulence at the lowest wave number, but can occur in ideal HD turbulence only at the highest wave numbers in a simulation. In the case of real, i.e., dissipative flows, coherent structure.