Miracle-dz/UniFAR-FTUs huggingface dataset:
PRESTELLAR CORE FORMATION, EVOLUTION, AND ACCRETION FROM GRAVITATIONAL FRAGMENTATION IN TURBULENT CONVERGING FLOWS

We investigate prestellar core formation and accretion based on three-dimensional hydrodynamic simulations. Our simulations represent local ∼1 pc regions within giant molecular clouds where a supersonic turbulent flow converges, triggering star formation in the post-shock layer. We include turbulence and self-gravity, applying sink particle techniques, and explore a range of inflow Mach numbers  = 2 − 16 ? > . Two sets of cores are identified and compared: t1 cores are identified from a time snapshot in each simulation and represent dense structures in a single cloud map; tcoll cores are identified at their individual time of collapse and represent the initial mass reservoir for accretion. We find that cores and filaments form and evolve at the same time. At the stage of core collapse, there is a well-defined, converged characteristic mass for isothermal fragmentation that is comparable to the critical Bonnor–Ebert mass at the post-shock pressure. The core mass functions (CMFs) of tcoll cores show a deficit of high-mass cores ( ≳ 7 M ☉ ? > ) compared to the observed stellar initial mass function (IMF). However, the CMFs of t1 cores are similar to the observed CMFs and include many low-mass cores that are gravitationally stable. The difference between t1 cores and tcoll cores suggests that the full sample from observed CMFs may not evolve into protostars. Individual sink particles accrete at a roughly constant rate throughout the simulations, gaining one core mass per freefall time even after the initial mass reservoir is accreted. High-mass sinks gain proportionally more mass at later times than low-mass sinks. There are outbursts in accretion rates, resulting from clumpy density structures falling into the sinks.
INVARIANT SURFACES WITH CONSTANT MEAN CURVATURE IN H2 ×R

or, more generally, into aspace form, has been an extensive ﬁeld of research in the twen tieth century, partially motivated bythe possible applications and by the intrinsic beauty of the subject. In the last decade, the study ofsurfaces in 3-dimensional manifolds with non constant sectional curvature has grown very rapidlyand particular attention has been given to the study of surfaces in homogeneous 3-manifolds withcompact quotients (Thurston’s geometries). Geometrically, the most interesting surfaces in thesespaces are those with constant mean or Gauss curvature, and among these there are those whichpresent many symmetries, i.e. invariant under the action of a subgroup of the isometry group ofthe ambient manifold. For surfaces in a 3-dimensional manifold the unique interesting (not trivial)subgroups of isometries are the 1-parameter subgroups and,in this case, any invariant surface canbe rendered as the orbit of a curve (the proﬁle curve ) by the action of the subgroup.The study of invariant surfaces in the 3-dimensional Thurston’s geometries has been initiatedby Caddeo, Piu and Ratto in [2], where they characterized the SO(2)-invariant CMC surfaces in a3-dimensional homogenous space, and by Tomter, in [13], forthe Heisenberg group H
Integrated Approach for Land Surface Temperature Assessment in Different Topography of Iraq

indicate agreement between MODIS and ground measurement stations during the winter season. The values ranged: RSME (close to zero); NSE (0 to 1); R 2 (between 0.5 and 1), and Parson Correlation (between 0.51 to 1). In spring, the values ranged: R 2 (between 0.5 and 1) and Parson Correlation (between 0.51 to 1). As the temperature rises during seasonal changes, the congruence in the four statistical indicators begins to decline dramatically. However, Baghdad, Basra, and Mosul stations still appear in good agreement, which is the validity of the data issued by MOD11C3. The finding presented in this research shows that the results of the LST by MOD11C3 are in good agreement and acceptable despite in various topographies of the ground stations. the spatial selection of different topography in Iraq. Therefore, this study will explain LST evaluation's temporal and spatial change from one of the MODIS outputs with the weather ground stations. This study aims to evaluate the performance of monthly LST with three types (Tmin, Tmax, and Tmean) in different topographical locations in Iraq by comparing them with data records for nineteen selected weather ground measurement stations. To validate LST performance, MOD11C3 was used as one of the outputs of remote sensing, which is also combated with ground weather stations. Temperature estimates are evaluated monthly and validated using four statistical measures for each station and over each month of the year for the long-term period (2000-2020). In addition, RSME, NSE, R 2, and Parson Correlation were used to verify the linear best fit between estimated MOD11C3 outputs and the measured data from weather ground stations.
Efficient Parameterized Precoder Tracking in Slowly Time-Varying MIMO Channels

Precoding in MIMO wireless communication systems is essential for achieving high data rates. However, feeding back precoders places a feedback burden. Exploiting temporal correlation and use of adaptive feedback can significantly reduce the feedback requirement, but even this does not scale well for larger MIMO systems. We propose an approach to partition precoder update parameters, and selectively feed back only those parameters that vary significantly. Specifically, we express precoder variations as zero-diagonal complex matrices whose elements have nearly constant magnitude, thus requiring only phase information. Simulations reveal that this method achieves high rates at 50% lower feedback than prior approaches.
Current Options for Second-Line Systemic Therapy in Metastatic Renal Cell Carcinoma

Standard systemic therapy of advanced renal cell carcinoma (RCC) involves targeting angiogenesis, mainly through tyrosine kinase inhibitors (TKI) against the vascular endothelial growth factor receptor (VEGFR) pathway and targeting the immune checkpoints, namely, programmed death-1 (PD-1) or its ligand (PD-L1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA4). With current strategies of combining these two approaches in the front-line setting, less is known about optimal selection of therapy upon development of resistance in the second and later lines of treatment for progressive disease. This review discusses currently available therapeutic options in patients who have progressive RCC after prior treatment with double immune check-point inhibitors (ICIs) or ICI-TKI combinations.
Analysis of monitoring data with many missing values: which method?

Large-scale monitoring of bird species becomes more and more important in many countries. In the datasets yielded by these censuses, values are often missing. This poses problems in the analysis of the data. Currently five methods are used to obtain yearly indices of abundance and trends over time: chain index, indexing according to the Mountford method, route regression, imputing of missing data and loglineair Poisson regression. Of each method the advantages and the limitations are dealt with. The loglinear Poisson regression appears to be the most promising approach. 1) DLO-Institute for Forestry and Nature Research & DLO-Agricultural Mathematics Group, P.O. Box 100, 6700 AC Wageningen, The Netherlands 2) Statistics Netherlands, P.O. Box 4000, 2270 JM Voorburg, The Netherlands
OBSERVATIONS OF ENVIRONMENTAL QUENCHING IN GROUPS IN THE 11 GYR SINCE z = 2.5: DIFFERENT QUENCHING FOR CENTRAL AND SATELLITE GALAXIES

We present direct observational evidence for star formation quenching in galaxy groups in the redshift range 0 < z < 2.5. We utilize a large sample of nearly 6000 groups, selected by fixed cumulative number density from three photometric catalogs, to follow the evolving quiescent fractions of central and satellite galaxies over roughly 11 Gyr. At z ∼ 0, central galaxies in our sample range in stellar mass from Milky Way/M31 analogs (M⋆/M☉ = 6.5 × 1010) to nearby massive ellipticals (M⋆/M☉ = 1.5 × 1011). Satellite galaxies in the same groups reach masses as low as twice that of the Large Magellanic Cloud (M⋆/M☉ = 6.5 × 109). Using statistical background subtraction, we measure the average rest-frame colors of galaxies in our groups and calculate the evolving quiescent fractions of centrals and satellites over seven redshift bins. Our analysis shows clear evidence for star formation quenching in group halos, with a different quenching onset for centrals and their satellite galaxies. Using halo mass estimates for our central galaxies, we find that star formation shuts off in centrals when typical halo masses reach between 1012 and 1013 M☉, consistent with predictions from the halo quenching model. In contrast, satellite galaxies in the same groups most likely undergo quenching by environmental processes, whose onset is delayed with respect to their central galaxy. Although star formation is suppressed in all galaxies over time, the processes that govern quenching are different for centrals and satellites. While mass plays an important role in determining the star formation activity of central galaxies, quenching in satellite galaxies is dominated by the environment in which they reside.
Development of cryogenic low background detector based on enriched zinc molybdate crystal scintillators to search for neutrinoless double beta decay of $^{100}$Mo

Observation of neutrinoless double beta (0ν2β) decay would imply the violation of lepton number conservation and definitely new physics beyond the Standard Model, establishing the Majorana nature of neutrinos. Cryogenic scintillating bolometers look the most promising detectors to search for this extremely rare nuclear process in a few theoretically the most favorable nuclei. ZnMoO₄ scintillators with a mass of ∼ 0.3 kg, as well as Zn¹⁰⁰ MoO₄ crystals enriched in the isotope ¹⁰⁰Mo were produced for the first time by using the low-thermal-gradient Czochralski technique. The optical and luminescent properties of the produced crystals were studied to estimate the progress in crystal growth quality. The low-temperature tests with a 313 g ZnMoO₄ scintillator and two enriched Zn¹⁰⁰ MoO₄ were performed aboveground in the Centre de Sciences Nucleaires et de Sciences de la Matiere. The low background measurements with a three ZnMoO₄ and two enriched detectors installed in the EDELWEISS set-up at the Laboratoire Souterrain de Modane were carried out.To optimize the light collection in ZnMoO₄ cryogenic scintillating bolometers, we have simulated the collection of scintillation photons in a detector module for different geometries by Monte Carlo method using the GEANT4 package. Response to the 2ν2β decay of ¹⁰⁰Mo was simulated for the enriched Zn¹⁰⁰ MoO₄ detectors of different shape and mass to understand the dependence of 2ν2β decay spectra on crystal shape. We have simulated 48 Zn¹⁰⁰ MoO₄ crystals with a size of O60 × 40 mm installed in the EDELWEISS cryostat. The contribution to background from the internal radioactive contamination of the crystals, cosmogenic activation and radioactive contamination of the set-up were simulated.Taking into account the poor time resolution of the low temperature bolometers, we also studied contribution to background at the Q₂β energy of random coincidences of signals, in particular of 2ν2β decay, which is one of the most valuable sources of background in cryogenic bolometers. Methods of the randomly coinciding events rejection were developed and compared. We have also analyzed dependence of the rejection efficiency on a cryogenic detector performance.
The Comparison of Deep Learning Model Efficiency for Classification of Oral White Lesions

Oral cancer is one of the top health problems globally. Some white lesions of the oral cavity can develop into oral cancer if not screened and treated immediately. Modern screening technologies are popular for applying deep learning knowledge to screen and classify images. In this study, we used deep convolution neural network (CNN) to classify oral white lesions, ulcers, and normal anatomy using transfer learning, which can reduce training time. Ten pre-trained model of transfer learning including DenseNet121, DenseNet169, DenseNet201, Xception, ResNet50, InceptionResNetV2, InceptionV3, VGG16, VGG19, and EfficientNetB7 are implemented and evaluated. The evaluation of accuracy, precision, F1score, recall, sensitivity, confusion matrix, and AUC-ROC curve are discussed. The trained models of DenseNet169, DenseNet201, and Xception showed the highest testing accuracy of more than 90% and recall of 0.8833. In addition to the precision, F1score, and specificity, the DenseNet169 outperforms at 0.9034, 0.884, and 0.9417, respectively.
The Mediation Role of OCB on the Effect of the Big Five Personality on Nurse Performance

OCB behavior has an important role in organizational effectiveness because OCB can improve organizational performance. The purpose of this study is to determine and examine the effect of the big five personalities on job performance with OCB as a mediating variable for nurses at RSUD dr. Soedirman, Kebumen. The sample in this study are 155 nurses. The analysis in this study uses the Partial Least Square Structural Equation Model (PLS-SEM) analysis. The results of the analysis show that the dimensions of the big five personalities, namely extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience have a positive and significant effect on OCB; the dimensions of extraversion, conscientiousness, and openness to experience have a positive and significant effect on job performance, while the dimensions of agreeableness and neuroticism do not affect job performance; OCB has a positive and significant effect on job performance; and OCB is able to mediate the effect of agreeableness, conscientiousness, and openness to experience on job performance, and OCB can not mediate the effect of extraversion and neuroticism on job performance.
The Effect of COVID-19 on QTc Prolongation

Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) uses angiotensin-converting enzyme-2 receptors on host cells to enter the cells. These receptors are expressed on heart muscle tissue and the tissues of other major organs, which supports the primary accepted theory for the direct cardiac cell injury of coronavirus disease 2019 (COVID-19) and the associated cardiorespiratory manifestations. The SARS-CoV-2 infection leads to unstable myocardial cell membranes due to hypoxia, myocarditis, myocardial ischemia, and abnormal host immune response. This is the main reason behind arrhythmia and electrocardiogram (ECG) changes during COVID-19. However, the specific effect on QTc has not been studied well. Therefore, this study aimed to examine the association between COVID-19 and QTc changes. Methodology We conducted an observational, retrospective review of hospital medical records of 320 adult participants diagnosed with COVID-19 at our facility. After applying the exclusion criteria, 130 participants were included and distributed into two groups. One group had long QTc, and one group had normal QTc. Data were collected and recorded using Microsoft Excel. We used SPSS Statistics for Windows, Version 20.0. (IBM Corp., Armonk, NY, USA) to analyze the data. Student’s t-tests were performed for independent groups. Quantitative data were summarized using mean and standard deviation. Statistical significance was taken as p < 0.05. Results A total of 63 (48.4%) participants met the criteria for long QTc, and 67 (51.5%) participants had normal QTc (p < 0.001). There was no statistically significant difference in mortality outcomes between long QTc and normal QTc (0.8% vs. 3.8%, respectively; p = 0.21). Conclusions This study aimed to examine the association between COVID-19 and QTc changes. Nearly half of the participants had an increased QTc with COVID-19, and QTc length was not associated with mortality outcomes. Our results indicate that COVID-19 is an independent risk factor for QTc prolongation on ECG. Identifying COVID-19 as an independent risk factor for QTc prolongation is a clinically significant finding, and physicians should consider this when treating cardiac patients and possible COVID-19-positive patients.
Subarcsecond high-sensitivity measurements of the DG tau jet with e-MERLIN

We present very high spatial resolution deep radio continuum observations at 5 GHz (6 cm) made with e-MERLIN of the young stars DG Tau A and B. Assuming it is launched very close (~=1 au) from the star, our results suggest that the DG Tau A outflow initially starts as a poorly focused wind and undergoes significant collimation further along the jet (~=50 au). We derive jet parameters for DG Tau A and find an initial jet opening angle of 86 degrees within 2 au of the source, a mass-loss rate of 1.5x10^-8 solar masses/yr for the ionised component of the jet, and the total ejection/accretion ratio to range from 0.06-0.3. These results are in line with predictions from MHD jet-launching theories.
Nonlinear Finite Element Analysis of Flexural Laminated Veneer Lumber (LVL) Sengon Slender Beam

Laminated Veneer Lumber (LVL) is one of the engineered wood products consisting of wood veneers that are glued and pressed together. In this study, the behavior of LVL Sengon slender beam is numerically investigated by means of nonlinear finite element analysis (FEA), where only half of the experimental beam was modeled due to symmetry of the load configuration. The LVL Sengon wood material used Hill failure criterion with isotropic hardening rules, and its mechanical properties in both tension and compression are modelled according to its mechanical properties in tension obtained from the clear specimen test. The contact analysis is defined for each contacting and contacted elements. The FEA results well agreed with the experimental results in term of the load-deflection curve and failure mode of the beam. It is found that the lateral support has no effect on the stiffness of the beam. The beam stiffness and ultimate load increase by the increase of beam height-to-width ratio (𝑑/𝑏).
The moderating role of national philanthropic environment in the relationship between advertising intensity and corporate social responsibility

Abstract Research concerning the relationship between advertising intensity and corporate social responsibility has yielded mixed results. Some scholars have found a positive link, supporting a complementary perspective, while others have found a negative link, supporting a substitute perspective. The authors of this current study employ a contingency perspective to propose that the focal relationship is moderated by national philanthropic environments, which reflects the propensity of a nation to be philanthropic. With a sample of 271 firms from 13 countries, a hierarchical linear model analysis was conducted, and the findings support the contingency perspective. Specifically, the results showed that in countries with high levels of national philanthropic environments there is a positive link between advertising intensity and corporate social responsibility, while in countries with lower national philanthropic environments, there is a negative link.
Documenting the Invisible: How Data Activism Fills Visual Gaps

Este artículo examina, desde la perspectiva del activismo de datos, cómo algunas organizaciones están desarrollando nuevos lenguajes para hablar sobre la invisibilización, la desaparición y la liminalidad. Para ello, estas emplean la inteligencia de fuentes abiertas (conocida como Open Source Intelligence [OSINT, por sus siglas en inglés]), los mapas y los datos públicos y ciudadanos. Al examinar cuatro proyectos pioneros en la incorporación de estas prácticas (Forensic Architecture, Bellingcat, Syrian Archive y el trabajo de la activista María Salguero), el artículo plantea cómo tecnologías como la OSINT y los mapas pueden servir para mapear lo antes no cartografiado y, de esta forma, arrojar luz sobre la agencia y los destinos de personas invisibilizadas. Frente a las formas tradicionales de hablar sobre los abusos y el sufrimiento en los documentales, este tipo de activismo de datos ofrece contra-narrativas que renuevan el lenguaje visual para tratar sobre abusos de derechos humanos. Al adoptar OSINT y mapas para visualizar la desaparición, el activismo de datos ha adquirido la precisión de las herramientas digitales y ha influido en las prácticas periodísticas y de investigación. Este análisis también sugiere que OSINT y la cartografía digital podrían ser parte de una renovación en la producción documental.
Infrared-Faint Radio Sources in the SERVS deep fields: Pinpointing AGNs at high redshift

Infrared-Faint Radio Sources (IFRS) represent an unexpected class of objects relatively bright at radio wavelength, but unusually faint at infrared (IR) and optical wavelengths. A recent and extensive campaign on the radio-brightest IFRSs (S_{1.4GHz} >= 10 mJy) has provided evidence that most of them (if not all) contain an AGN. Still uncertain is the nature of the radio-faintest ones (S_{1.4GHz} 4). We analysed a number of IFRS samples identified in SERVS fields, including a new sample (21 sources) extracted from the Lockman Hole. 3.6 and 4.5 mum IR counterparts of the 64 sources located in the SERVS fields were searched for, and, when detected, their IR properties were studied. We compared the radio/IR properties of the IR-detected IFRSs with those expected for a number of known classes of objects. We found that they are mostly consistent with a mixture of high-redshift (z >= 3) radio-loud AGNs. The faintest ones (S_{1.4GHz} ~ 100 muJy), however, could be also associated with nearer (z ~ 2) dust-enshrouded star-burst galaxies. We also argue that, while IFRSs with radio-to-IR ratios > 500 can very efficiently pinpoint radio-loud AGNs at redshift 2 < z < 4, lower radio-to-IR ratios (~ 100--200) are expected for higher redshift radio-loud AGNs.
Diffusion tensor imaging (DTI) and plasma p-tau 181 in Alzheimer’s disease

Alzheimer’s Disease (AD) is characterized by cognitive impairments and memory difficulties, which cause daily activities, and personal and behavioral problems. In recent years blood-based biomarkers like plasma phosphorylated tau protein at threonine 181 (p tau 181) emerged as new tools and showed a sufficient power in detecting AD patients from healthy people. Here we investigate the correlation between p tau 181 and white matter microstructural changes in AD patients. We add 21 Alzheimer diagnosed patients with baseline plasma p tau level, CSF Amyloidβ, CSF Tau, CSF p Tau, and DTI metrics from the ADNI database. The analysis revealed that the plasma level of p tau 181 could predict changes in MD, RD, AD, and FA parameters in several regions Also, there is a significant association between white matter pathways alteration in different regions with each of the CSF biomarkers. In conclusion, our study results show that plasma p tau 181 levels are associated with microstructural changes in pathogenesis areas of Alzheimer's disease, which enhance this biomarker's diagnostic status. Longitudinal studies are also necessary to prove the efficacy of these biomarkers and predicting role in structural changes.