Miracle-dz/UniFAR-FTUs huggingface dataset:
Oviduct Transcriptomic Reveals the Regulation of mRNAs and lncRNAs Related to Goat Prolificacy in the Luteal Phase

Simple Summary The kidding number is an important reproductive trait in domestic goats. The oviduct, as one of the most major organs, is directly involved in the reproductive process, providing nutrition and a location for early embryonic development. The current study provides genome-wide expression profiles of mRNA and long noncoding RNAs (lncRNAs) expression in Yunshang black goat, a new breed of meat goat bred in China with a high kidding number. During the luteal phases, oviduct mRNAs and lncRNAs associated with high- and low-fecundity Yunshang black goats were identified, and their potential biological functions were predicted using GO, KEGG, and GSEA enrichment analysis. These findings shed light on the oviduct-based prolificacy mechanism in goats. Abstract The oviduct is associated with embryo development and transportation and regulates the pregnancy success of mammals. Previous studies have indicated a molecular mechanism of lncRNAs in gene regulation and reproduction. However, little is known about the function of lncRNAs in the oviduct in modulating goat kidding numbers. Therefore, we combined RNA sequencing (RNA-seq) to map the expression profiles of the oviduct at the luteal phase from high- and low-fecundity goats. The results showed that 2023 differentially expressed mRNAs (DEGs) and 377 differentially expressed lncRNAs (DELs) transcripts were screened, and 2109 regulated lncRNA-mRNA pairs were identified. Subsequently, the genes related to reproduction (IGF1, FGFRL1, and CREB1) and those associated with embryonic development and maturation (DHX34, LHX6) were identified. KEGG analysis of the DEGs revealed that the GnRH- and prolactin-signaling pathways, progesterone-mediated oocyte maturation, and oocyte meiosis were related to reproduction. GSEA and KEGG analyses of the target genes of DELs demonstrated that several biological processes and pathways might interact with oviduct functions and the prolificacy of goats. Furthermore, the co-expression network analysis showed that XLOC_029185, XLOC_040647, and XLOC_090025 were the cis-regulatory elements of the DEGs MUC1, PPP1R9A, and ALDOB, respectively; these factors might be associated with the success of pregnancy and glucolipid metabolism. In addition, the GATA4, LAMA2, SLC39A5, and S100G were trans-regulated by lncRNAs, predominantly mediating oviductal transport to the embryo and energy metabolism. Our findings could pave the way for a better understanding of the roles of mRNAs and lncRNAs in fecundity-related oviduct function in goats.
A method for delay estimation between channels of Analog to Information Converters

Analog to Information Converters (AIC) implements signal acquisition in Compressed Sensing. AIC performance is affected by noise and hardware imperfections. In parallel Random Modulator Pre-Integrator (RMPI) architectures, delay among channels reduces the performance; thus, delay estimation and compensation methods are necessary. In previous works, delay estimation compares a reference signal with a reconstructed signal from the AIC output; however, such methods produce different results according to the recovery method. To avoid this problem, we present a method based on a controlled delay signal to estimate channel delay without the necessity of signal recovery. The obtained results show the technique's feasibility and the possibility of its use as a built-in calibration process for AIC.
An Progression of Prioritization Techniques for Test Cases

Prioritizing test cases involves sorting them according to the same predetermined criteria, with the end goal of catching bugs as soon as feasible and reducing testing expenses. The growing complexity of software systems means more test cases must be run in order to ensure accurate validation and verification, driving up both the time and money needed to complete these processes. The goal of any prioritising method is to ensure that the most important tests are executed before the least important ones. This document provides a historical perspective on the evolution of test case prioritising approaches and procedures for component-based software systems, beginning in 1999 and continuing up to the current day.
The CH fraction of Carbon stars at high Galactic latitudes

CH stars form a distinct class of objects with characteristic properties like iron deficiency, enrichment of carbon and overabundance of heavy elements. These properties can provide strong observational constraints for the theoretical computation of nucleosynthesis at low metallicity. An important issue is the relative surface density of CH stars, which can provide valuable input to our understanding of the role of low- to intermediate-mass stars in early Galactic chemical evolution. Spectroscopic characterization provides an effective way of identifying CH stars. The present analysis aims at a quantitative assessment of the fraction of CH stars in a sample using a set of spectral classification criteria. The sample consists of 92 objects selected from a collection of candidate faint high-latitude carbon stars from the Hamburg/ESO survey. Medium-resolution (λ/δλ ∼ 1300) spectra for these objects were obtained using the Optomechanics Research (OMR) spectrograph at the Vainu Bappu Observatory (VBO), Kavalur and the Himalaya Faint Object Spectrograph (HFOSC) at the Himalayan Chandra Telescope (HCT), Indian Astronomical Observatory, Hanle, during 2007-2009, spanning a wavelength range 3800-6800 A. Spectral analysis shows 36 of the 92 objects to be potential CH stars; combined with our earlier studies this implies ∼37 per cent (of 243 objects) as the CH fraction. We present spectral descriptions of the newly identified CH star candidates. Estimated effective temperatures, 12 C/ 13 C isotopic ratios and their locations on the two-colour J - H versus H - K plot are used to support their identification.
Effect of Blood Transfusion on Cerebral Hemodynamics and Vascular Topology Described by Computational Fluid Dynamics in Sickle Cell Disease Patients

The main objective of this study was to demonstrate that computational fluid dynamics (CFD) modeling can be used to study the contribution of covert and overt vascular architecture to the risk for cerebrovascular disease in sickle cell disease (SCD) and to determine the mechanisms of response to therapy such as chronic red blood cell (cRBC) transfusions. We analyzed baseline (screening), pre-randomization and study exit magnetic resonance angiogram (MRA) images from 10 (5 each from the transfusion and observation arms) pediatric sickle SCD participants in the silent cerebral infarct transfusion (SIT) trial using CFD modeling. We reconstructed the intracranial portion of the internal carotid artery and branches and extracted the geometry using 3D Slicer. We cut specific portions of the large intracranial artery to include segments of the internal carotid, middle, anterior, and posterior cerebral arteries such that the vessel segment analyzed extended from the intracranial beginning of the internal carotid artery up to immediately after (~0.25 inches) the middle cerebral artery branching point. Cut models were imported into Ansys 2021R2/2022R1 and laminar and time-dependent flow simulation was performed. Change in time averaged mean velocity, wall shear stress, and vessel tortuosity were compared between the observation and cRBC arms. We did not observe a correlation between time averaged mean velocity (TAMV) and mean transcranial Doppler (TCD) velocity at study entry. There was also no difference in change in time average mean velocity, wall shear stress (WSS), and vessel tortuosity between the observation and cRBC transfusion arms. WSS and TAMV were abnormal for 2 (developed TIA) out of the 3 participants (one participant had silent cerebral infarctions) that developed neurovascular outcomes. CFD approaches allow for the evaluation of vascular topology and hemodynamics in SCD using MRA images. In this proof of principle study, we show that CFD could be a useful tool and we intend to carry out future studies with a larger sample to enable more robust conclusions.
Identification of TIMP2 as a Prognostic Biomarker and Its Correlation with Tumor Immune Microenvironment: A Comprehensive Pan-Cancer Analysis

Background Tissue inhibitor of metalloproteinase-2 (TIMP2), an endogenous inhibitor of matrix metalloproteinases, has been disclosed to participate in the development and carcinogenesis of multiple malignancies. However, the prognosis of TIMP2 in different cancers and its correlation with tumor microenvironment and immunity have not been clarified. Methods In this study, we conducted a comprehensive bioinformatics analysis to evaluate the prognostic and therapeutic value of TIMP2 in cancer patients by utilizing a series of databases, including Oncomine, GEPIA, cBioPortal, GeneMANIA, Metascape, and Sangerbox online tool. The expression of TIMP2 in different cancers was analyzed by Oncomine, TCGA, and GTEx databases, and mutation status of TIMP2 in cancers was then verified using the cBioPortal database. The protein-protein interaction (PPI) network of the TIMP family was exhibited by GeneMANIA. The prognosis of TIMP2 in cancers was performed though the GEPIA database and Cox regression. Additionally, the correlations between TIMP2 expression and immunity (immune cells, gene markers of immune cells, TMB, MSI, and neoantigen) were explored using Sangerbox online tool. Results The transcriptional level of TIMP2 in most cancerous tissues was significantly elevated. Survival analysis revealed that an elevated expression of TIMP2 is associated with unfavorable survival outcome in multiple cancers. Enrichment analysis demonstrated the possible mechanisms of TIMPs and their associated genes mainly involved in pathways including extracellular matrix (ECM) regulators, degradation of ECM and ECM disassembly, and several other signaling pathways. Conclusions Our findings systematically dissected that TIMP2 is a potential prognostic maker in various cancers and use the inhibitor of TIMP2, which may be an effective strategy for cancer therapy to improve the poor cancer survival and prognostic accuracy, but concrete mechanisms need to be validated by subsequent experiments.
Candidate subdwarfs and white dwarfs from the 2MASS, Tycho‐2, XPM and UCAC3 catalogues

Photometry from the Two-Micron All-Sky Survey (2MASS), United States Naval Observatory CCD Astrograph Catalog (UCAC3) and SuperCosmos catalogues, together with proper motions from the Tycho-2, Kharkiv Proper Motions (XPM) and UCAC3 catalogues, is used to select all-sky samples of 28 candidate white dwarfs, 1826 evolved and 7641 unevolved subdwarfs for R from 9–17 mag. The samples are separated from main-sequence stars with an admixture of less than 10 per cent, owing to an analysis of the distribution of the stars in colour index versus reduced proper-motion diagrams for various latitudes using related Monte Carlo simulations. It is shown that the XPM and UCAC3 catalogues have the same level of proper-motion accuracy. Most of the selected stars have at least six-band photometry. This allows us to eliminate some admixtures and reveal some binaries. Empirical calibrations of absolute magnitude versus colour index and reduced proper motion for Hipparcos stars give us distances and a three-dimensional (3D) distribution for all the selected stars. It is shown that the subdwarf samples are almost complete for the Tycho-2 stars, i.e. to 11 mag or 150 pc from the Sun. For fainter stars from the XPM and UCAC3 catalogues, the subdwarf samples are complete only to 20–60 per cent because of the selection method and incompleteness of the catalogues. Some conclusions can be made, however, especially for Tycho-2 stars with known radial velocities and metallicities. The subdwarfs show some concentration in the Galactic Centre hemisphere, with voids due to extinction in the Gould belt and the Galactic plane. Some as yet unexplained overdensities of evolved subdwarfs are seen in several parts of the sky. For 176 stars with radial velocities, the 3D motion and Galactic orbits are calculated. For 57 stars with Fe/H we find relations of the metallicity with colour index, asymmetric drift velocity and orbital eccentricity. All the data are consistent with the suggestion that most unevolved subdwarfs belong to the low-metallicity halo with large asymmetric drift, whereas evolved subdwarfs have various metallicities and velocities and include both disc and halo stars. The lower limit of the local mass density of unevolved subdwarfs, estimated as 2 × (1)
Accurate Empirical Path Loss Models with Route Classification for mmWave Communications

This paper presents accurate empirical path loss models with route classification for the high band frequency of 5 G wireless. Propagation path routes are mainly classified into line of sight (LOS) and non-line-of-sight (NLOS). The NLOS routes are classified into 2 separate routes, namely, Hard_NLOS and Soft_NLOS. Their path loss models include free-space loss (Lfs) and multiscreen diffraction loss (Lmsd) together with the reflection from the building blocks. However, these NLOS routes can be combined into a single formula. The path loss models were fitted with measured path loss data at frequencies of 28 GHz and 73 GHz. These models are compared with four 5G empirical models, namely 5GCM, 3GPP, METIS, and mmMAGIC. The results show that the separated route models provide good agreement, especially for the hard routes compared with those models and provide the minimum MAE of 4.45 dB, 4.34 dB, and 6.72 dB for the hard route, soft route, and an all-NLOS route, respectively, for the dual-band frequency.
A Critical Analysis of the Characterization of Reciprocating Compressors Energy Consumption

This paper presents the analysis of the energy consumption in reciprocating compressors. The study has included the data of several AHRI reports: (especially AHRI 30 and AHRI 59). A total of 9 different reciprocating compressors of different sizes, some of them tested with various refrigerants (R134a, R32, R410A, R404A, .) have been considered in the study. The values of the compressor consumption and the shape of the corresponding response surface as a function of working conditions, for all the studied compressors and refrigerants, have been analyzed and compared with the obtained for other compressors designs like scroll. Based on that, an analysis of the significance for the different coefficients of the AHRI polynomial has been determined. The main results of this analysis have been that pressure-dependent correlations converge the energy consumption response surface for different refrigerants, and this response surface has two types of shapes depending on the application range of the compressor.
Automatic generation of medical reports from chest X-rays in Czech

This thesis deals with the problem of automatic generation of medical reports in the Czech language based on the input chest X-ray images using deep neural networks. The first part deals with the analysis of the problem itself including a comparison of existing solutions from several common points of view. In order to interpret medical images in the Czech language, we present a finetuned Czech GPT-2 model specialized on medical texts based on the original pretrained English GPT-2 model along with its evaluation. In the second part, the created Czech GPT-2 is used for training a neural network model for generating medical reports. The training was conducted on freely available data along with data preprocessing and their adjustment for the Czech language. Furthermore, the model results are discussed and evaluated using standard metrics for natural language processing to determine the performance.
CLEP_A_378039 1167..1175

Purpose: Vaccine effectiveness (VE) studies are often conducted after the introduction of new vaccines to ensure they provide protection in real-world settings. Control of confounding is often needed during the analyses, which is most efficiently done through multivariable modeling. When many confounders are being considered, it can be challenging to know which variables need to be included in the final model. We propose an intuitive Bayesian model averaging (BMA) framework for this task. Patients and Methods: Data were used from a matched case–control study that aimed to assess the effectiveness of the Lyme vaccine post-licensure. Cases were residents of Connecticut, 15–70 years of age with confirmed Lyme disease. Up to 2 healthy controls were matched to each case subject by age. All participants were interviewed, and medical records were reviewed to ascertain immunization history and evaluate potential confounders. BMA was used to systematically search for potential models and calculate the weighted average VE estimate from the top subset of models. The performance of BMA was compared to three traditional singlebest-model-selection methods: two-stage selection, stepwise elimination, and the leaps and bounds algorithm. Results: The analysis included 358 cases and 554 matched controls. VE ranged between 56% and 73% and 95% confidence intervals crossed zero in <5% of all candidate models. Averaging across the top 15 models, the BMA VE was 69% (95% CI: 18–88%). The two-stage, stepwise, and leaps and bounds algorithm yielded VE of 71% (95% CI: 21–90%), 73% (95% CI: 26–90%), and 74% (95% CI: 27–91%), respectively. Conclusion: This paper highlights how the BMA framework can be used to generate transparent and robust estimates of VE. The BMA-derived VE and confidence intervals were similar to those estimated using traditional methods. However, by incorporating model uncertainty into the parameter estimation, BMA can lend additional rigor and credibility to a well-designed study.
Planetary nebulae in the inner Milky Way: new abundances

The study of planetary nebulae in the inner-disk and bulge gives important information on the chemical abundances of elements such as He, N, O, Ar, Ne, and on the evolution of these abundances, which is associated with the evolution of intermediate-mass stars and the chemical evolution of the Galaxy. We present accurate abundances of the elements He, N, S, O, Ar, and Ne for a sample of 54 planetary nebulae located towards the bulge of the Galaxy, for 33 of which the abundances are derived here for the rst time. The abundances are obtained based on observations in the optical domain made at the National Laboratory for Astrophysics (LNA, Brazil). The data show a good agreement with other results in the literature, in the sense that the distribution of the abundances is similar to that of those works.
On the shape of the light profiles of Early Type galaxies

We have obtained the best fit to the light profiles of a luminosity-limited sample of elliptical and S0 galaxies with a power law r 1/n , letting the exponent remain free rather than keeping it fixed at 1/n=1/4 as in the well-known de Vaucouleurs formula. The introduction of a free parameter in the fitting formula (ranging from n=0.5 for =0.3 kpc to n=16 for =25 kpc) is justified by the existence of a good correlation between n and the global galaxian parameters, such as total luminosity and scale-radius. This result seems to be in line with the segregation of properties between the ordinary and bright families of early-type galaxies, and has consequences for the claimed independence of the shape of galaxy profiles with respect to the Fundamental Plane parameters
QCD resummation for hadronic final states

We review the basic concepts of all-order calculations in Quantum Chromodynamics (QCD) and their application to collider phenomenology. We start by discussing the factorization properties of QCD amplitudes and cross-sections in the soft and collinear limits and their resulting all-order exponentiation. We then discuss several applications of this formalism to observables which are of great interest at particle colliders. In this context, we describe the all-order resummation of event-shape distributions, as well as observables that probe the internal structure of hadronic jets.
The Malkus-Robbins dynamo with a nonlinear motor

In a recent paper Moroz \cite{m02} considered a simplified version of the third class of self-exciting Faraday-disk dynamo model, introduced by Hide \cite{h97}, in the limit in which the Malkus-Robbins dynamo \cite{m72,r77} results as a special case. In that study a linear series motor was incorporated which led to an enriching of the range of possible behaviour that the original Malkus-Robbins dynamo could support. In this paper, we replace the linear motor by a nonlinear motor and consider the consequences on the dynamics of the dynamo.
The archaeology of knowledge

Part I: Introduction. Part II: The Discursive Regularities 1. The Unities of Discourse 2. Discursive Formations 3. The Formation of Objects 4. The Formation of Enunciative Modalities 5. The Formation of Concepts 6. The Formation of Strategies 7. Remarks and Cosequences Part III The Statement and the Archive 1. Defining the Statement 2. The Enunciative Function 3. The Description of Staements 4. Rarity, Exteriority, Accumilation 5. The Historical a priori and the Archive Part IV Archeological Description 1. Archeology and the History of Ideas 2. The Original and the Regular 3. Contradictions 4. The Comparative Facts 5. Change and Transformations 6. Science and Knowledge Part V: Conclusion Conclusion Index
Loyola eCommons Loyola eCommons Genome Sequence of Pseudomonas Phage UMP151, Isolated Genome Sequence of Pseudomonas Phage UMP151, Isolated from the Female Bladder Microbiota from the Female Bladder Microbiota

A temperate bacteriophage, designated UMP151, was isolated from a Pseudomonas aeruginosa strain from a catheterized urine sample of a woman with overactive bladder (OAB) symptoms. The 41,303-bp genome sequence of Pseudomonas phage UMP151 exhibits sequence similarity to prophage and lytic phage sequences isolated from other areas of the human body. P rior studies of the female urinary microbiota have identiﬁed associations between bladder bacteria and urinary symptoms (1–6). Recent surveys have found that viruses, particularly bacteriophages (phages), far outnumber bacteria in the urinary tract (7) and that the majority of these bacterial members are lysogens, some harboring upwards of 10 intact prophages (8). In our ongoing effort to characterize the phage population of the urinary tract microbiota, we describe here the genome sequence of a new isolate, Pseudomonas phage UMP151, a temperate phage induced from a Pseudomonas aeruginosa strain isolated from the urine collected via transurethral catheterization from a woman with overactive bladder (OAB) symptoms. P. aeruginosa is not frequently found within the bladder microbiota of healthy women (9); rather, it is an opportunistic pathogen of the urinary tract typically associated with nosocomial urinary tract infections (10). Furthermore, no association between P. aeruginosa and OAB has been identiﬁed (9). Pseudomonas phage UMP151 is the fourth Pseudomonas phage isolated from the urinary tract to