Miracle-dz/UniFAR-FTUs huggingface dataset:
Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines a control on galaxy shape parameters offered by analytic models with realistic surface brightness distributions learned from real Hubble Space Telescope observations by deep generative models. We simulate a galaxy field of $0.4\,\rm{deg}^2$ as it will be seen by the Euclid visible imager VIS and show that galaxy structural parameters are recovered with similar accuracy as for pure analytic S\'ersic profiles. Based on these simulations, we estimate that the Euclid Wide Survey will be able to resolve the internal morphological structure of galaxies down to a surface brightness of $22.5\,\rm{mag}\,\rm{arcsec}^{-2}$, and $24.9\,\rm{mag}\,\rm{arcsec}^{-2}$ for the Euclid Deep Survey. This corresponds to approximately $250$ million galaxies at the end of the mission and a $50\,\%$ complete sample for stellar masses above $10^{10.6}\,\rm{M}_\odot$ (resp. $10^{9.6}\,\rm{M}_\odot$) at a redshift $z\sim0.5$ for the wide (resp. deep) survey. The approach presented in this work can contribute to improving the preparation of future high-precision cosmological imaging surveys by allowing simulations to incorporate more realistic galaxies.
Tensor networks for unsupervised machine learning

Modeling the joint distribution of high-dimensional data is a central task in unsupervised machine learning. In recent years, many interests have been attracted to developing learning models based on tensor networks, which have the advantages of a principle understanding of the expressive power using entanglement properties, and as a bridge connecting classical computation and quantum computation. Despite the great potential, however, existing tensor network models for unsupervised machine learning only work as a proof of principle, as their performance is much worse than the standard models such as restricted Boltzmann machines and neural networks. In this Letter, we present autoregressive matrix product states (AMPS), a tensor network model combining matrix product states from quantum many-body physics and autoregressive modeling from machine learning. Our model enjoys the exact calculation of normalized probability and unbiased sampling. We demonstrate the performance of our model using two applications, generative modeling on synthetic and real-world data, and reinforcement learning in statistical physics. Using extensive numerical experiments, we show that the proposed model significantly outperforms the existing tensor network models and the restricted Boltzmann machines, and is competitive with state-of-the-art neural network models.
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy

Deep Neural Networks (DNNs) are known to be strong predictors, but their prediction strategies can rarely be understood. With recent advances in Explainable Artificial Intelligence (XAI), approaches are available to explore the reasoning behind those complex models' predictions. Among post-hoc attribution methods, Layer-wise Relevance Propagation (LRP) shows high performance. For deeper quantitative analysis, manual approaches exist, but without the right tools they are unnecessarily labor intensive. In this software paper, we introduce three software packages targeted at scientists to explore model reasoning using attribution approaches and beyond: (1) Zennit - a highly customizable and intuitive attribution framework implementing LRP and related approaches in PyTorch, (2) CoRelAy - a framework to easily and quickly construct quantitative analysis pipelines for dataset-wide analyses of explanations, and (3) ViRelAy - a web-application to interactively explore data, attributions, and analysis results. With this, we provide a standardized implementation solution for XAI, to contribute towards more reproducibility in our field.
MeerKAT 21-cm H i imaging of Abell 2626 and beyond

Context. The morphology-density relation manifests the environmental dependence of the formation and evolution of galaxies as they continuously migrate through the cosmic web to ever denser environments. As gas-rich galaxies traverse the outskirts and inner regions of galaxy clusters, they experience sudden and radical changes in their gas content and star formation activity. Aims. The goal of this work is to gain an H i perspective on gas depletion mechanisms acting on galaxies and galaxy groups that are being accreted by a moderately massive galaxy cluster. We aim to study the relative importance and efficiency of processes such as ram-pressure stripping and tidal interactions as well as their dependency on the local and global environment of galaxies in the cluster core and in its surroundings. Methods. We have conducted a blind radio continuum and H i spectral line imaging survey with the MeerKAT radio telescope of a 2◦ × 2◦ area centred on the galaxy cluster Abell 2626. We have used the CARAcal pipeline to reduce the data, SoFiA to detect sources within the H i data cube, and GIPSY to construct spatially resolved information on the H i morphologies and kinematics of the H i detected galaxies. Results. We have detected H i in 219 galaxies with optical counterparts within the entire surveyed volume. We present the H i properties of each of the detected galaxies as a data catalogue and as an atlas page for each galaxy, including H i column-density maps, velocity fields, position-velocity diagrams, and global H i profiles. These data will also be used for case studies of identified ‘jellyfish’ galaxies and galaxy population studies by means of morphological classification of the direct H i detections as well as using the H i stacking technique.
Using Machine Learning Techniques to Predict Hospital Admission at the Emergency Department

Abstract Introduction One of the most important tasks in the Emergency Department (ED) is to promptly identify the patients who will benefit from hospital admission. Machine Learning (ML) techniques show promise as diagnostic aids in healthcare. Aim of the study Our objective was to find an algorithm using ML techniques to assist clinical decision-making in the emergency setting. Material and methods We assessed the following features seeking to investigate their performance in predicting hospital admission: serum levels of Urea, Creatinine, Lactate Dehydrogenase, Creatine Kinase, C-Reactive Protein, Complete Blood Count with differential, Activated Partial Thromboplastin Time, DDi-mer, International Normalized Ratio, age, gender, triage disposition to ED unit and ambulance utilization. A total of 3,204 ED visits were analyzed. Results The proposed algorithms generated models which demonstrated acceptable performance in predicting hospital admission of ED patients. The range of F-measure and ROC Area values of all eight evaluated algorithms were [0.679-0.708] and [0.734-0.774], respectively. The main advantages of this tool include easy access, availability, yes/no result, and low cost. The clinical implications of our approach might facilitate a shift from traditional clinical decision-making to a more sophisticated model. Conclusions Developing robust prognostic models with the utilization of common biomarkers is a project that might shape the future of emergency medicine. Our findings warrant confirmation with implementation in pragmatic ED trials.
The antiurolithic activity of Origanum vulgare on rats treated with ethylene glycol and ammonium chloride: Possible pharmaco-biochemical and ultrastructure effects

Abstract Background: Origanum vulgare (OV) Linn is one of the conventional remedies for urolithiasis. Hence, we tested the potential antiurolithic effect of OV active extract, in order to rationalize its medicinal use. Materials and methods: The in vivo study was of male Westar rats receiving lithogenic treatment consisting of two 0.75% ethylene glycol injections with a 1 day interval and then in drinking water given for 3 weeks along with ammonium chloride (NH4Cl) from the 2nd day to the 7th day. Results: The active ethanolic extract of OV treatment (20 mg/kg) reversed toxic changes including loss of body weight gain and appetite, raised serum urea and creatinine levels, and raised blood pressure compared to controls. Conclusions: The acquired data thus suggested that OV showed antiurolithic effects against renal calcium oxalate crystal deposits by combined mechanisms acting on multiple sites through hypoxaliuric, hypocalciuric, and antioxidant effects.
More Insight on the Role of Personality Traits and Sensitivity to Experimental Pain

Purpose The present study aimed to assess the influence of personality traits on the variability of sensitivity to pain in two distinct groups of healthy subjects with low versus high sensitivity to pain (LSP vs HSP, respectively). Methods Healthy subjects (n=156) were allocated to two groups according to their tolerability to cold stimulation (cold pressor test, CPT, 1°C). Group LSP (n=76) reached the cut-off time of 180±0 sec, and a size matched group of HSP (n=80) tolerated the CPT for an average of 10.5±3.4 sec only. Subjects from both groups completed the self-reported pain sensitivity questionnaire (PSQ), the Pain Catastrophizing Scale (PCS), and the Neuroticism Extraversion Openness - Five Factor Inventory (NEO-FFI). Results In comparison to the LSP group, HSP individuals had higher scores of PSQ (p<0.001), catastrophizing (p=0.001), and extraversion (p=0.01). By adjusting for age and gender, mediation analyses revealed that catastrophizing mediated the relationship between neuroticism and pain sensitivity, both in the allocation of subjects to a certain group of sensitivity to pain (LSP or HSP, B=0.02 95% CI: 0.006–0.040) and in the PSQ score (B=0.01 95% CI: 0.001–0.023). Conclusion These results, which were demonstrated by two different prisms (CPT and PSQ), point to the potential of the five-factor inventory and pain catastrophizing scale as tools for identifying specific personality traits associated with a high sensitivity to pain.
A New Treatment Strategy for Early T‐Cell Precursor Acute Lymphoblastic Leukemia: A Case Report and Literature Review

Abstract Early T‐cell precursor acute lymphoblastic leukemia (ETP-ALL) is an aggressive and extremely fatal subtype of T-cell acute lymphoblastic leukemia (T-ALL), characterized by the similar transcriptional and immunophenotypic profiles to those of early T-cell precursors and positive expressions of myeloid antigens. Besides, the gene expression profile in ETP-ALL is similar to that in myeloid malignancies. The clinical characteristics, treatments and prognoses of ETP-ALL are significantly heterogeneous. In the present study, we reported a 43-year-old female patient who lacked terminal deoxynucleotidyl transferase (TDT) expression in immunophenotype and displayed mutations of fms-like tyrosine kinase-internal tandem duplication (FLT3-ITD), paired-box domain 5 (PAX5) and SH2B adaptor protein 3 (SH2B3) (PAX5 and SH2B3, the genes critical to B cell identity and function), which represent myeloid and precursor B-lineage associated gene mutations, respectively. It was a rare T-ALL or T-lineage case. Because of multiple poor prognostic factors in this case, conventional induction regimens, like hyper-CVAD (cyclophosphamide, vincristine, doxorubicin, dexamethasone), were invalid. The patient showed inadequate response, suggesting that this treatment was not employed on the basis of the immunophenotype. FLAG-IDA regimen (fludarabine, cytarabine [Ara-C], granulocyte-colony stimulating factor [G-CSF] and idarubicin), which is usually applied to eliminate leukemia cells, was administered combining with sorafenib as an effective induction chemotherapy. The case achieved long-term survival following the allogeneic hematopoietic stem cell transplantation (allo-HSCT). We recommend that adult ETP-ALL patients can be treated with a myeloid-oriented chemotherapy (as frontline induction treatment) along with gene-targeting inhibitors, followed by allo-HSCT.
Recent progress in the improvement of hydrothermal stability of zeolites

Zeolites have been successfully employed in many catalytic reactions of industrial relevance. The severe conditions required in some processes, where high temperatures are frequently combined with the presence of steam, highlight the need of considering the evolution of the catalyst structure during the reaction. This review attempts to summarize the recently developed strategies to improve the hydrothermal framework stability of zeolites.
Pemphigoid Gestationis – Case Report and Review of Literature

Abstract Pemphigoid gestationis (PG) is a rare autoimmune bullous skin disorder which usually presents with intense pruritus and urticarial lesions that may evolve into vesicles and tense blisters. In majority of patients, it starts in the second or third trimester of pregnancy and resolves spontaneously after delivery. Lesions appear in the periumbilical area in 90% of patients and rapidly spread centrifugally to other parts of the body. The diagnosis needs to be confirmed by direct immunofluorescence test (DIF) with indirect immunofluorescence test (IIF), ELISA and immunoblot techniques playing role in diagnosis and/or monitoring antibodies level. Mild symptoms of PG can be treated with topical therapy only, but in severe course of the disease the treatment may be escalated to oral corticosteroids. We present an unusual case of PG started 2 weeks after delivery with an updated overview on the epidemiology, pathology, clinical picture, treatment, and complications of the disease.
Role of Cold Balanced Salt Solution (BSS) in the Prophylaxis of Cystoid Macular Edema After Cataract Surgery: A Prospective Randomized Study

Purpose To evaluate the postoperative effect on central retinal macular thickness of a cooled irrigating eye solution used during cataract surgery. Patients and Methods In this prospective, single-center study, 100 eyes of 50 patients (26 males and 24 females) were evaluated with spectral domain optical coherence tomography (SD-OCT) before and after phacoemulsification for senile cataract. Eyes were randomly divided into two groups based on the irrigating solution used during surgery: Group 1, 50 eyes received intraoperative irrigating solution at room temperature (~20.0±0.1°C); and Group 2, 50 fellow eyes received cold intraoperative irrigating solution (2.7±0.1°C). Changes in central macular thickness (CMT) were evaluated in both groups by SD-OCT macular raster scan for the nine Early Treatment of Diabetic Retinopathy Study (ETDRS) subfields and total macular volume, performed pre-surgery, and 1 and 4 weeks post-surgery. Results Despite there being no significant differences in variables between the two groups preoperatively, significant increases in CMT were observed at 1 week after surgery in both groups (p=0.02 and p=0.03, respectively), as well as in total macular volume (p<0.0001 and p=0.02, respectively). Inter-subgroup analysis showed a significant reduction in CMT (p=0.03) and total macular volume (p=0.001) at 1 week post-surgery in Group 2 compared to Group 1, whereas no significant differences were observed at 4 weeks. Conclusion The use of a cooled irrigating eye solution during phacoemulsification may be beneficial in preventing the possible development of postoperative macular thickening. Further clinical studies may support this finding.
Apoptosis of K562 cells induced by diisopropylphosphoryl leucyl-lysine methyl ester

This paper studies the apoptosis of K562 cells in diisopropylphosphoryl leucyl-lysine methyl ester ((DIPP-L-Leu)_2- L-Lys-OCH_3) to investigate special induces in tumor cells. (DIPP-L-Leu)_2-L-Lys-OCH_3 was synthesized, then verified by ESI-MS, ~31P NMR, ~1H NMR and ~13C NMR. The apoptosis was investigated using MTT assays, fluorescence microscopy, and AnnexinV-FITC flow cytometry analysis. The results show that (DIPP-L-Leu)_2-L-Lys-OCH_3 can induce apoptosis of K562 cells with an IC_50 of 22.66 μmol·L~-1. Specific caspase assays show that (DIPP-L-Leu)_2-L-Lys-OCH_3 induces apoptosis in K562 cells through the mitochondrial pathway.
Cardiovascular risk factors and major depressive disorder: a cross-sectional study in São Paulo, Brazil

ABSTRACT BACKGROUND: Cardiovascular risk factors can mediate the association between depression and cardiovascular diseases. OBJECTIVE: To evaluate cardiovascular risk factors in adult individuals with and without histories of major depression in the metropolitan region of São Paulo, Brazil. DESIGN AND SETTING: Cross-sectional study in São Paulo (SP), Brazil. METHODS: This study evaluated 423 individuals without any lifetime diagnosis of major depression and 203 individuals with a previous diagnosis of major depression (n = 626). The participants underwent a psychiatric evaluation using a structured clinical interview (SCID-1), an anthropometric evaluation and a clinical evaluation that included blood pressure measurement and assessment of fasting blood glucose, lipid profile and physical activity levels. RESULTS: Individuals with histories of major depression were more likely to be female (P < 0.0001). Individuals with lifetime diagnoses of major depression were more likely to be current smokers (odds ratio, OR 1.61; 95% confidence interval, CI 1.01-2.59) and to have diabetes (OR 1.79; 95% CI 1.01-3.21); and less likely to be obese (OR 0.58; 95% CI 0.35-0.94). CONCLUSION: Individuals with major depression had higher odds of presenting tobacco smoking and diabetes, and lower odds of being obese. Healthcare professionals need to be aware of this, so as to increase the rates of diagnosis and treatment in this population.
Metformin treatment confers protection of the optic nerve following photoreceptor degeneration

Acquired or inherited or photoreceptor loss causes retinal ganglion cell loss and ultimately axonal transport alteration. Thus, therapies should be applied early during photoreceptors degeneration before the remodeling process reaches the inner retina. This study aimed to evaluate the protective effect of metformin on the rat optic nerve following photoreceptors loss induced by N-Ethyl-N-nitrosourea (ENU). Eighteen adults male Wistar rats were divided into two groups. Group I: normal vehicle control (n=6). Group II: ENU-induced photoreceptors degeneration (n=12) received a single intraperitoneal injection of ENU at a dose of 600 mg/kg. Rats in group II were equally divided into two subgroups: IIa: photoreceptor degeneration induced group and IIb: metformin treated group (200 mg/kg) for 7 days. Specimens from the optic nerve were processed for light and electron microscopy. In ENU treated group, the optic nerve revealed reduction in the diameter of the optic nerve fibers and thinning of myelin sheath with morphological changes in the glia (astrocytes, oligodendrocytes, and microglia). Caspase-3 (apoptotic marker), iNOS (oxidative stress marker) and CD68 (macrophage marker) expression increased. In metformin-treated group, the diameter of optic nerve fibers and myelin sheath thickness increased with improvement of the deterioration in the glia. Caspase-3, iNOS and CD68 expression decreased. Metformin ameliorates the histological changes of the rat optic nerve following photoreceptors loss induced by ENU.
A combinatorial cis-regulatory logic restricts color-sensing Rhodopsins to specific photoreceptor subsets in Drosophila

Color vision in Drosophila melanogaster is based on the expression of five different color-sensing Rhodopsin proteins in distinct subtypes of photoreceptor neurons. Promoter regions of less than 300 base pairs are sufficient to reproduce the unique, photoreceptor subtype-specific rhodopsin expression patterns. The underlying cis-regulatory logic remains poorly understood, but it has been proposed that the rhodopsin promoters have a bipartite structure: the distal promoter region directs the highly restricted expression in a specific photoreceptor subtype, while the proximal core promoter region provides general activation in all photoreceptors. Here, we investigate whether the rhodopsin promoters exhibit a strict specialization of their distal (subtype specificity) and proximal (general activation) promoter regions, or if both promoter regions contribute to generating the photoreceptor subtype-specific expression pattern. To distinguish between these two models, we analyze the expression patterns of a set of hybrid promoters that combine the distal promoter region of one rhodopsin with the proximal core promoter region of another rhodopsin. We find that the function of the proximal core promoter regions extends beyond providing general activation: these regions play a previously underappreciated role in generating the non-overlapping expression patterns of the different rhodopsins. Therefore, cis-regulatory motifs in both the distal and the proximal core promoter regions recruit transcription factors that generate the unique rhodopsin patterns in a combinatorial manner. We compare this combinatorial regulatory logic to the regulatory logic of olfactory receptor genes and discuss potential implications for the evolution of rhodopsins.
Investigation of the Livengood–Wu integral for modelling autoignition in a high-pressure bomb

The reaction progress variable, which is widely used in premixed and diffusion combustion studies, comprises a set of pre-selected intermediate species to denote reaction progress. Progress towards autoignition can also be traced by the Livengood–Wu (LW) integral. Autoignition occurs when the LW integral attains a value of unity. This concept is further explored by applying it to an inhomogeneous mixture scenario, to determine the time and place of autoignition occurrence. A semidetailed mechanism (137 species and 633 reactions) for n-heptane/iso-octane/toluene is used in this study. Two numerical schemes based on the LW integral are proposed and incorporated into a computational fluid dynamics platform, to model autoignition in a 3D configuration, when a spray is injected into a constant volume bomb under diesel engine conditions. Tabulated chemistry, a traditional method of modelling autoignition using information from pre-calculated igniting diffusion flames, is also used for comparison purposes. The associated predicted pressure profiles are compared with experimental measurements.
Relation of red cell distribution width with HAS-BLED score in patients with non-valvular atrial fibrillation

Background Numerous researchers have shown that there is a close correlation between red cell distribution width (RDW) and cardiovascular disease such as heart failure, coronary heart disease, and atrial fibrillation. This study was designated to investigate the correlation between RDW and the Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile international normalized ratio, Elderly, Drugs/alcohol (HAS-BLED) score. Methods The HAS-BLED scores of 251 hospitalized patients with non-valvular atrial fibrillation were calculated and the receiver operating characteristics were used to evaluate the predictive value of RDW on high HAS-BLED score (≥3 scores). Multiple logistic regression analysis was used to analyze the independent predictor of high HAS-BLED scores. Results Correlation analysis between RDW and HAS-BLED scores showed the RDW was positively correlated with HAS-BLED score, with r=0.393 (P<0.0001). The RDW of the high HAS-BLED score group was higher than that of the no-high HAS-BLED score group. The area under the receiver operating characteristic curve of RDW was 0.796 (0.740–0.844, P<0.0001) to predict a high HAS-BLED score, and multiple logistic regression analysis showed that a high RDW value could be used as an independent predictor of high HAS-BLED. Conclusions RDW value is associated with HAS-BLED value, and can be used as the independent predictive factor of high HAS-BLED scores.