Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Thymus vulgaris and Cinnamomum verum Essential Oils on bap and ica Gene Expression in Staphylococcus aureus

Background: Staphylococcus aureus can cause a variety of infectious diseases, mainly due to its ability to shift between the planktonic and the biofilm lifestyle. Biofilm infections present a serious problem in human medicine. Biofilm-associated protein (bap) and intercellular adhesin (ica) genes are involved in biofilm formation. Objectives: This study evaluated the effect of Thymus vulgaris and Cinnamomum verum essential oils on biofilm formation and expression of icaA, icaD, and bap genes in S. aureus strains. Methods: A total of 20 strains of S. aureus were isolated from the urine of patients. The susceptibility test was performed to determine the effect of minimum inhibitory concentration (MIC) of thyme and cinnamon essential oils on strains by broth dilution method. The expression of icaA and icaD genes was determined by measuring the cognate messenger ribonucleic acid level using real-time polymerase chain reaction (PCR). Results: The biofilm formation of strains after treatment with the MIC of thyme essential oil was observed as 40% weak and 60% negative biofilms, and with the MIC of cinnamon essential oil as 25% strong and 75% moderate biofilms. Real-time PCR demonstrated that 60% of S. aureus strains treated with thyme and cinnamon essential oils showed a decrease in icaA gene expression. Moreover, 55% and 70% of the strains treated with thyme and cinnamon essential oils had reduced icaD gene expression, respectively. None of the strains of S. aureus had a bap gene. Conclusions: The present study showed that thyme and cinnamon essential oils reduce the expression of icaA and icaD genes, and cinnamon essential oil is more effective than thyme essential oil.
REVIEW: COVID19 AND ITS ROLE IN THE FLARE OF RHEUMATOID ARTHRITIS

Rheumatoid arthritis (RA) is a chronic inflammatory disorder in which the immune system attacks the body's tissues, including joints, whereas Covid19 is an acute respiratory sickness caused by a virus that affects the immune system and can produce a variety of symptoms as well as death in some cases. A higher frequency of autoimmune inflammatory arthritis has been associated with respiratory diseases caused by various viral infections and these infections can cause flare-ups in inflammatory arthritic patients. The study focuses on the link between Covid19 and Rheumatoid arthritis as well as the various drugs used to treat the disease and their effects on the human body. The numerous comorbidities, as well as the impact of drugs and vaccination on individuals, were discussed. People affected with RA are already at risk of infection due to the disease itself or the conditions brought about by the treatment of drugs or due to several clinical opinions and therapies. The data from various research explains the prevalence of COVID19 symptoms in rheumatoid arthritis patients is more than twice that of the effect.
Cosmological parameters from weak lensing power spectrum and bispectrum tomography: including the non-Gaussian errors

We re-examine a genuine power of weak lensing bispectrum tomography for constraining cosmological parameters, when combined with the power spectrum tomography, based on the Fisher information matrix formalism. To account for the full information at two- and three-point levels, we include all the power spectrum and bispectrum information built from all-available combinations of tomographic redshift bins, multipole bins and different triangle configurations over a range of angular scales (up to lmax=2000 as our fiducial choice). For the parameter forecast, we use the halo model approach in Kayo, Takada & Jain (2013) to model the non-Gaussian error covariances as well as the cross-covariance between the power spectrum and the bispectrum, including the halo sample variance or the nonlinear version of beat-coupling. We find that adding the bispectrum information leads to about 60% improvement in the dark energy figure-of-merit compared to the lensing power spectrum tomography alone, for three redshift-bin tomography and a Subaru-type survey probing galaxies at typical redshift of zs~1. The improvement is equivalent to a 1.6 larger survey area. Thus our results show that the bispectrum or more generally any three-point correlation based statistics carries complementary information on cosmological parameters to the power spectrum. However, the improvement is modest compared to the previous claim derived using the Gaussian error assumption, and therefore our results imply less additional information in even higher-order moments such as the four-point correlation function.
The Gold Standard and the International Dimension of the Great Depression

Was the Gold Standard a major determinant of the onset and protracted character of the Great Depression of the 1930s in the USA and worldwide? In this paper, we model the “Gold Standard hypothesis” in an open-economy, dynamic general equilibrium framework. We show that encompassing the international and monetary dimensions of the Great Depression is important to understand the turmoil of the 1930s. In particular, the Gold Standard turns out to be a strong transmission mechanism of monetary shocks from the USA to the rest of the world. Our results also suggest that the waves of successive nominal exchange rate devaluations coupled with the monetary policy implemented in the USA might not have enhanced the recovery.
AN EMPIRICAL METHOD FOR ESTIMATING THE THERMAL RADIANCE OF CLEAR SKIES

LBL-12720 Preprint Submitted to Solar Energy AN EMPIRICAL METHOD FOR ESTIMATING THE THERMAL RADIANCE OF CLEAR SKIES Paul Berdahl and Richard Fromberg May 1981 TWO-WEEK LOAN COPY This is a Library Circulating Copy which may be borrowed for two weeks. For a personal retention copy, call Tech. Info. Diu is ion, Ext. 6781 Prepared for the U.S. Department of Energy under Contract W-7405-ENG-48
Magnetoelectric phenomena in BaMnF4 and BaMn0.99Co0.01F4

Dielectric behavior near the N\'eel temperatures of BaMn${\mathrm{F}}_{4}$ and Ba${\mathrm{Mn}}_{0.99}$${\mathrm{Co}}_{0.01}$${\mathrm{F}}_{4}$ has been measured. In accord with earlier measurements by Samara and Richards, pure BaMn${\mathrm{F}}_{4}$ displays a decrease in the $a$-axis dielectric constant for $Tl{T}_{N}$ which is approximately proportional to the square of the sublattice magnetization. The 1% Co sample exhibits no dielectric anomaly at ${T}_{N}$. Whereas the samples have the same structural symmetry (${C}_{2}$ point group), the magnetic symmetry of BaMn${\mathrm{F}}_{4}$ is 2\ensuremath{'} and that of Ba${\mathrm{Mn}}_{0.99}$${\mathrm{Co}}_{0.01}$${\mathrm{F}}_{4}$ is 2. For the latter symmetry there is no spin canting. Thus, unlike BaMn${\mathrm{F}}_{4}$, Ba${\mathrm{Mn}}_{0.99}$${\mathrm{Co}}_{0.01}$${\mathrm{F}}_{4}$ is not a ferromagnet. The present observations confirm our earlier hypothesis that the dielectric anomaly at ${T}_{N}$ is an effect due entirely to weak ferromagnetism in a low-symmetry ferroelectric. A Landau theory for the magnetic phase of BaMn${\mathrm{F}}_{4}$ is presented. A term proportional to ${l}_{z}{m}_{x}{p}^{2}$, where ${l}_{z}\ifmmode\cdot\else\textperiodcentered\fi{}{m}_{x}\ifmmode\cdot\else\textperiodcentered\fi{}P$ are respectively sublattice magnetization, ferromagnetic moment, and electric polarization, is introduced, and it is shown that the dielectric anomaly $\ensuremath{\Delta}{\ensuremath{\epsilon}}_{a}(T)$ can have either sign and is proportional to $l_{z}^{}{}_{}{}^{2}$, in agreement with experiment. The theory also gives predictions for linear magnetoelectric coefficient and canting angle, and suggests the existence of strong nonlinear magnetoelectric coupling.
The Effects of Multiple Companions on the Efficiency of Space Interferometry Mission Planet Searches

The Space Interferometry Mission (SIM) is expected to make precise astrometric measurements that can be used to detect low‐mass planets around nearby stars. Since most nearby stars are members of multiple‐star systems, many of them will have a measurable acceleration due to their companion, which must be included when solving for astrometric parameters and searching for planetary perturbations. In addition, many of the stars with one radial velocity planet show indications of additional planets. Therefore, astrometric surveys such as SIM must be capable of detecting planets and measuring orbital parameters in systems with multiple stellar and/or planetary companions. We have conducted Monte Carlo simulations to investigate how the presence of multiple companions affects the sensitivity of an astrometric survey such as SIM. We find that the detection efficiency for planets in wide binary systems is relatively unaffected by the presence of a binary companion if the planetary orbital period is less than half the duration of the astrometric survey. For longer orbital periods, there are significant reductions in the sensitivity of an astrometric survey. In addition, we find that the signal required to detect a planet can be increased significantly due to the presence of an additional planet orbiting the same star. Fortunately, adding a modest number of precision radial velocity observations significantly improves the sensitivity for many multiple‐planet systems. Thus, the combination of radial velocity observations and astrometric observations by SIM will be particularly valuable for studying multiple‐planet systems.
Estimating roe deer density using motion‐sensitive cameras in Switzerland

Wildlife conservation and management need accurate methods for population survey and monitoring. Absolute counts of roe deer populations ( Capreolus capreolus ) are not possible, but the rapid advancement of motion ‐ sensitive camera technologies and new analytical approaches might potentially lead to more precise estimates at lower costs compared to traditional survey methods. We applied spatially explicit photographic capture – recapture models (SCR) in the Lake Geneva basin, Switzerland, from 25 April to 20 September 2018 to estimate roe deer densities in a pilot survey. We investigated the effect of survey duration and camera density on male roe deer density estimates to select the sampling design that produced density estimates with sufficient accuracy and precision at lower costs (i.e., material, fieldwork, data processing, and analyses). Males could be identified based on their antlers, which allowed us to apply SCR to estimate their method) is a good compromise to provide reliable estimates of male roe deer density. Furthermore, studies estimating overall roe deer density using SCR and sex ratio estimates should be conducted from mid ‐ August to the end of October just after rutting season and the peak of yearling dispersal, when the movement rates of males and females, and hence their detection probabilities, are similar and when males are still carrying their antlers. This approach was successfully applied in 4 selected study areas with contrasting roe deer management regimes, resulting in overall roe deer density estimates ranging from 3.9 ± 1.3 (SE) deer/km 2 forest to 22.5 ± 6.1 deer/km 2 forest. Our study provides a valuable and cost ‐ effective approach using photographic SCR methodology and sex ratio information to calculate roe deer density estimates that can be used in management measures such as defining hunting quotas. this design in selected study areas with contrasting roe deer management regimes to estimate overall roe deer densities based on SCR and sex ratio information resulting from camera photos.
Estimating the Local Mean Voltage of a Radio Signal in a Mobile Channel

This paper examines the estimation of the local mean voltage of a radio signal in a Rayleigh fast-fading environment. We focus on the statistical uncertainties of local voltage averages obtained by both integrating the voltage envelope of a specified spatial interval and averaging over a set of discrete spatial samples. We derive new analytical expressions of the variances of both discrete and continuous averaging for selected spatial intervals. We also give recommendations for averaging intervals and sample spacing to achieve a ±1 dB spreading factor. We provide important new results for the variance of discrete averaging with new insight gained on separations required for uncorrelated samples. One significant finding of this work is that criteria in the published literature are incorrect and underestimate the variance. We support these findings with an experimental validation of our variance expressions using laboratory fading simulator measurements and sample statistics.
ORIGINAL RESEARCH Petiveria alliaceae EXTRACT HAS A PROTECTIVE IMPACT ON OXIDATIVE STRESS BIOMARKERS IN MALE RATS WITH LIPOPOLYSACCHARIDE-INDUCED ENDOTOXICITY

:Introduction: An imbalance between free radicals and antioxidants causes oxidative stress, which has detrimental consequences for a variety of health issues. Petiveria alliaceae (P. alliaceae) is a medicinal plant having a variety of bioactive chemicals that have a variety of therapeutic uses. Aims: The objective of this study was to investigate the protective effect of P. alliaceae leaf aqueous extract on oxidative stress biomarkers in male rats with lipopolysaccharide (LPS) induced-endotoxicity. Materials and Methods: Twenty-five (25) male albino rats were divided into five (n = 5) groups at random. Group 1 was used as a control, Group 2 was given P. alliaceae aqueous extract (1000 mg/kg body weight), Group 3 was given LPS, a single intraperitoneal dose (4 ml/kg body weight), and was observed for 4 hours before being sacrificed, Group 4 was given LPS (observed for 4 hours) and treated with P. alliaceae for 7 days, Group 5 was given P. alliaceae extract for 7 days, then Spectrophotometric analysis was used to evaluate the activities of oxidative stress biomarkers (catalase (CAT) and superoxide dismutase (SOD) in plasma, erythrocytes, brain, liver, kidney, and heart. Results: As seen in this work, oxidative stress is a characteristic of LPS-induced endotoxicity. Following LPS injection, P. alliaceae leaf aqueous extract significantly (p > 0.05) increased CAT and SOD activities compared to control and LPS group respectively in the plasma, erythrocytes, brain, liver, kidney and heart compartments. Conclusion: The aqueous extract of P. alliaceae leaf reduced the effect of LPS-induced endotoxins in the body by mopping up free radicals, according to the findings.
Effect of biochar, FYM and mineral nitrogen alone and in combination on yield and yield components of maize

The important determinant that influences crop growth cycle and directly or indirectly affects crop productivity is the efficient nutrient management for a crop. In Pakistan, maize production mainly relies on commercial fertilizers. Presently the environmental pollution as a result of higher inorganic fertilization has become a burning issue in the field of agriculture. In this conne ction, in order to evaluate the impact of nitrogen sources on various yield characters of maize crop, field expe riment was conducted at New Developmental Farm of Agricultural University Peshawar, Pakistan in 2009 in a randomi zed complete block design (RCBD) with split plot arrangement having three replications . The experiment comprised of 6 fertilizer treatments i . e. control, nitrogen alone (N), farm yard manure alone (FYM), bioc har alone (BC), 50% N (mineral) + 50% BC and 50% FYM + 50% BC. Data were recorded on plant height, numbe r of rows ear -1 , number of grains ear -1 , ear length, thousand grain weight, grain yield, biological yield and pla nt at harvest. All the parameters were significantly affected except plant at harvest. Among the treatme nt taller plants and higher number of grains ear -1 were produced by plots where sole mineral nitrogen was appli ed while biochar in combination with commercial fertilizer resulted in higher number of rows ear -1 , thousand grain weight, grain yield and biological yield. Hence application of biochar at the rate of 30 tones ha -1 in combination with mineral nitrogen at the rate of 75 kg ha -1 is recommended for improving maize productivity.
Improving sow welfare and outcomes in the farrowing house by identifying early indicators from pre-farrowing assessment

Abstract Poor outcomes reflect low performance during the farrowing and lactation periods and unanticipated sow removals. Since the period around farrowing has the highest risk for sow health issues, monitoring of sows in that time-period will improve both welfare and productivity. The aim of this study was to identify the most relevant risk factors for predicting poor outcomes and the implication for sow welfare. Identifying these factors could potentially enable management interventions to decrease incidences of compromised welfare or poor performance. Data from 1,103 sows sourced from two nucleus herds were recorded for a range of variables investigated as potential predictors of poor outcomes in the farrowing house. Poor outcomes (scored as binary traits) reflected three categories in a sow’s lifecycle: farrowing, lactation, and removals. Univariate logistic regression was used to identify predictors in the first instance. Predictors from univariate analyses were subsequently considered together in multi-variate models. The least square means representing predicted probabilities of poor outcomes were then reported on the observed scale. Several predictors were significant across two different environments (farms) and for all three categories. These predictors included feed refusal (lack of appetite), crate fit, locomotion score, and respiration rate. Normal appetite compared to feed refusals reduced the risk of farrowing failure (13.5 vs. 22.2%, P = 0.025) and removals (10.4 vs. 20.4%, P < 0.001). Fit in the crate was significant (P < 0.001) for farrowing and lactation outcomes, and was more informative than parity. Sows with sufficient space had two to three times reduced risk of poor outcomes compared to restrictive crates relative to sow dimensions. Sows with good locomotion score pre-farrowing had two to three times less risk of farrowing failure (P = 0.025) and reduced piglet mortality (P < 0.001), weaned two piglets more relative to affected sows (P < 0.001), and were less likely to be removed before weaning (3.24 vs. 12.3%, P = 0.014). Sows with higher respiration rates had a significantly (P < 0.001) reduced risk of poor farrowing outcomes. This study demonstrated it is possible to predict poor outcomes for sows prior to farrowing, suggesting there are opportunities to decrease the risk of poor outcomes and increase overall sow welfare.
Individuals with Wiedemann-Steiner syndrome show nonverbal reasoning and visuospatial defects with relative verbal skill sparing

Abstract Objectives: Wiedemann-Steiner syndrome (WSS) is a rare Mendelian disorder of the epigenetic machinery caused by heterozygous pathogenic variants in KMT2A. Currently, the specific neurocognitive profile of this syndrome remains unknown. This case series provides insight into the cognitive phenotype of WSS. Methods: This study involves a retrospective medical chart review of 10 pediatric patients, each with a molecularly confirmed diagnosis of WSS who underwent clinical neuropsychological evaluation at an academic medical center. Results: The majority of patients performed in the below average to very low ranges in Nonverbal Reasoning, Visual/Spatial Perception, Visuoconstruction, Visual Memory, Attention, Working Memory and Math Computation skills. In contrast, over half the sample performed within normal limits on Receptive Vocabulary, Verbal Memory, and Word Reading. Wilcoxon signed rank test showed weaker Nonverbal versus Verbal Reasoning skills (p = .005). Most caregivers reported deficits in executive functioning, most notably in emotion regulation. Conclusions: Nonverbal reasoning/memory, visuospatial/construction, attention, working memory, executive functioning, and math computation skills are areas of weakness among those with WSS. These findings overlap with research on Kabuki syndrome, which is caused by variants in KMT2D, and suggest disruption in the neurogenesis of the hippocampal formation may drive shared pathogenesis of the two syndromes.
Rap1 prevents fusions between long telomeres in fission yeast

The conserved Rap1 protein is part of the shelterin complex that plays critical roles in chromosome end protection and telomere length regulation. Previous studies have addressed how fission yeast Rap1 contributes to telomere length maintenance, but the mechanism by which the protein inhibits end fusions has remained elusive. Here, we use a mutagenesis screen in combination with high‐throughput sequencing to identify several amino acid positions in Rap1 that have key roles in end protection. Interestingly, mutations at these sites render cells susceptible to genome instability in a conditional manner, whereby longer telomeres are prone to undergoing end fusions, while telomeres within the normal length range are sufficiently protected. The protection of long telomeres is in part dependent on their nuclear envelope attachment mediated by the Rap1–Bqt4 interaction. Our data demonstrate that long telomeres represent a challenge for the maintenance of genome integrity, thereby providing an explanation for species‐specific upper limits on telomere length.
A novel knee joint model in FEBio with inhomogeneous fibril-reinforced biphasic cartilage simulating tissue mechanical responses during gait: data from the osteoarthritis initiative

Abstract We developed a novel knee joint model in FEBio to simulate walking. Knee cartilage was modeled using a fibril-reinforced biphasic (FRB) formulation with depth-wise collagen architecture and split-lines to account for cartilage structure. Under axial compression, the knee model with FRB cartilage yielded contact pressures, similar to reported experimental data. Furthermore, gait analysis with FRB cartilage simulated spatial and temporal trends in cartilage fluid pressures, stresses, and strains, comparable to those of a fibril-reinforced poroviscoelastic (FRPVE) material in Abaqus. This knee joint model in FEBio could be used for further studies of knee disorders using physiologically relevant loading.
Outcomes of a High-Volume Organ Procurement Organization in the Era of Increasing Donation After Circulatory Death

Introduction: Donation after circulatory death (DCD) is rapidly increasing in the United States. Detailed data outlining the process from referral to organ transplantation is lacking. Project Aims: We sought to quantify differences at each stage along the referral to donation pathway by donor type. Additionally, we examined factors associated with successful DCD organ utilization. Design: This program evaluation analyzed data from a single organ procurement organization in 2018 to assess demographic and clinical predictors of progression through the donation process, including the role of first-person authorization in DCD. Descriptive statistics were examined by donation stage for demographic characteristics using chi-square; univariate and multivariate logistic regression was used to model predictors of utilization and authorization by organ type, respectively. Results: There were 2466 organ donation referrals during 2018, including 575 donations after brainstem death (DBD), 1890 controlled DCD referrals, and 1 uncontrolled DCD referral. Univariate and multivariate logistic regression models highlighted differences in authorization rates by donor type (DCD vs DBD) and by age, race, and ethnicity. Next-of-kin authorization was declined in 23% of first-person authorized potential DCD, highlighting issues related to the role of donor registration in DCD. Pre-mortem heparin administration was predictive of DCD organ utilization; donor age and warm ischemia time of less than 30 min was statistically significantly associated with DCD extra-renal organ utilization. Conclusion: These results provided insight into strategies for increasing authorization and transplantation of organs from DCD donors and identified areas of improvement for process standardization and policy development.