Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Validation of a Risk Nomogram Model for Predicting Community-Acquired Pressure Injury Among the Older Adults in China: A Case-Control Study

Purpose A predictive model of community-acquired pressure injury (CAPI) was established and validated to allow the early identification of the risk of pressure injuries by family caregivers and community workers. Patients and Methods The participants were hospitalized patients 65 years and older from two branches of a tertiary hospital in China, one for model training set and the other for validation set. This study was a case-control study based on hospital electronic medical records. According to the presence of pressure injury at admission, patients were divided into a case group and a control group. In the model training set, LASSO regression was used to select the best predictors, and then logistic regression was used to construct a nomogram. The performance of the model was evaluated by drawing the receiver operating characteristic curve (ROC) and calculating the area under the curve (AUC), calibration analysis, and decision curve analysis. The model used a 10-fold crossover for internal and external validation. Results The study included a total of 20,235 subjects, including 11,567 in the training set and 8668 in the validation set. The prevalence of CAPI in the training and validation sets was 2.5% and 1.8%, respectively. A nomogram was constructed including eight variables: age ≥ 80, malnutrition status, cerebrovascular accidents, hypoproteinemia, respiratory failure, malignant tumor, paraplegia/hemiplegia, and dementia. The AUC of the prediction model in the original model, internal validation, and external validation were 0.868 (95% CI: 0.847, 0.890), mean 0.867, and 0.840 (95% CI: 0.807,03.873), respectively. The nomogram showed acceptable calibration and clinical benefit. Conclusion We constructed a nomogram to predict CAPI from the perspective of comorbidity that is suitable for use by non-specialists. This nomogram will help family caregivers and community workers with the early identification of PI risks.
Distribution of mcr-1 Harboring Hypervirulent Klebsiella pneumoniae in Clinical Specimens and Lytic Activity of Bacteriophage KpnM Against Isolates

Background The World Health Organization (WHO) has declared the multi-drug resistant (MDR) Klebsiella pneumoniae as one of the critical bacterial pathogens. The dearth of new antibiotics and inadequate therapeutic options necessitate finding alternative options. Bacteriophages are known as enemies of bacteria and are well-recognized to fight MDR pathogens. Methods A total of 150 samples were collected from different clinical specimens through a convenient sampling technique. Isolation, identification, and antibiotic susceptibility testing (AST) of K. pneumoniae were done by standard and validated microbiological procedures. Molecular identification of virulence factors and antibiotic resistance genes (ARGs) was carried out through polymerase chain reaction (PCR) by using specific primers. For bacteriophage isolation, hospital sewage samples were processed for phage enrichment, purification, and further characterization ie, transmission electron microscopy (TEM) and stability testing, etc. followed by evaluation of the lytic potential of the phage. Results Overall, a total of 41% of isolates of K. pneumoniae were observed as hypervirulent K. pneumoniae (hvKp). Among hvKp, a total of 12 (42%) were detected as MDR hvKp. A total of 37% of all MDR isolates were found resistant to colistin, and 66% of the colistin resistance isolates were recorded as mcr-1 positive. Isolated phage KpnM had shown lytic activity against 53 (79%) K. pneumoniae isolates. Remarkably, all 8 mcr-1 harboring MDR hvKp and non-hvKp isolates were susceptible to KpnM phage. Conclusion Significant distribution of mcr-1 harboring hypervirulent Klebsiella pneumoniae was observed in clinical specimens, which is worrisome for the health system of the country. Characterized phage KpnM exhibited encouraging results and showed the lytic activity against the mcr-1 harboring hvKp isolates, which may be used as a prospective alternative control strategy to fight this ominous bacterium.
An analysis of HCN observations of the Circumnuclear Disc at the Galactic Centre

The Circumnuclear Disk (CND) is a torus of dust and molecular gas rotating about the galactic centre and extending from approximately 1.6pc to 7pc from the central massive black hole, SgrA*. Large Velocity Gradient modelling of the intensities of the HCN 1-0, 3-2 and 4-3 transitions is used to infer hydrogen density and HCN optical depth. From HCN observations we find the molecular hydrogen density ranges from 0.1 to 2 $\times$ 10$^{6}$ cm$^{-3}$, about an order of magnitude less than inferred previously. The 1-0 line is weakly inverted with line-centre optical depth approx $-$0.1, in stark contrast to earlier estimates of 4. The estimated mass of the ring is approximately 3 $-$ 4 $\times$ 10$^{5}$M$_{\odot}$ consistent with estimates based on thermal dust emission. The tidal shear in the disk implies that star formation is not expected to occur without some significant triggering event.
A Harmonic Analysis of the Large Scale Cosmic Ray Anisotropy

Here we present the results of a harmonic analysis of the large scale cosmic-ray anisotropy as observed by the Milagro observatory. The Milagro observatory is a water Cherenkov detector located in the Jemez mountains outside of Los Alamos, New Mexico. With a high duty cycle and large field-of-view, Milagro is an excellent instrument for measuring this anisotropy with high sensitivity at TeV energies. We show a two-dimensional map of the sidereal anisotropy generated by the fitting of three harmonics to separate declination bands taken from a six year data sample consisting of 150 billion events, the largest such data set in existence. We observe an anisotropy with a magnitude around 0.1% for cosmic rays with a median energy of 3 TeV. The dominant feature is a deficit region in the direction of the Galactic North Pole with a range in declination of -10 to 45 degrees and 150 to 225 degrees in right ascension. We also present results from an examination of the time evolution and the energy dependence of the anisotropy signal.
Comparison between quadrantectomy and modified radical mastectomy in early Breast Cancer

Background: Breast cancer (BC) has been the most frequent cancer among women worldwide, and it is the leading cause of cancer-related death. Nowadays, numerous surgical treatments are extensively employed in the management of BC, including full surgical resection of the breast (mastectomy) and breast conserving operations (quadrantectomy), which may or may not be accompanied by radiation. Aim of the work: To analyze the optimal surgical management for early breast cancer through the comparison between quadrantectomy and modified radical mastectomy. Patients and methods: A total of 60 women suffering from early breast cancer were diagnosed using precise criteria and were gathered from January 2021 to January 2022. In this study, we classified 2 groups: Group A: 30 patients prepared for quadrantectomy and Group B: 30 patients prepared for modified radical mastectomy. Results: there is no significant difference between the two groups regarding age and BMI, tumor size and site, mass site in the breast, histopathology findings, grade and stage, complications and recurrence. When compared to the quadrantectomy group, the mastectomy group had significantly higher surgical time, loss of blood, and hospital stay. Disease free survival after 12 months in group A was 82.5% and in group B it was 94.2%, with a log rank test of 0.861. Conclusion: When compared to modified radical mastectomy, quadrantectomy was more efficacious in the management of early-stage breast cancer, involving less surgery time and intraoperative blood and a reduced hospital length of stay.
An optical-UV-IR survey of the North Celestial Cap – I. The catalogue

We describe the final product of the North Celestial Cap Survey (NCC Survey, NCCS) - the optical-UV-IR merged catalogue for the region within 10 ◦ of the North Celestial Pole. The NCC region at � ≥ 80 ◦ is poorly covered by modern CCD-based surveys. The optical part of the survey was observed in V, R and I with the Wise Observatory telescopes and was merged with GALEX UV and WISE IR data, producing the catalogue. More than four million objects were observed in at least one optical band. The final catalogue contains ∼1.6 million sources observed in all three optical bands, of which some 1.4 million have WISE counterparts and ∼300,000 have GALEX counterparts. The astrometric accuracy of the optical NCCS data, derived from a comparison with the UCAC3 catalogue, is better than 0.2 arcsec and the photometry, when compared with SDSS, is good to ∼0.15 mag for sources brighter than V = 20.3, R = 21.0 and I = 19.2 mag. The SDSS point-extended source separation is reproduced with >92% efficiency.
Impact of COVID-19 Pandemic on Mental Health: A Narrative Review

COVID-19 is an infectious disease that is serious, lethal, and transmissible. Since December 2019 the aftermath of the COVID-19 has been experienced by millions of global populations in all age groups, i.e., from newborn to elderly, regardless of gender. In consequence, it has triggered widespread apprehension, fear, hopelessness, and stress in the populace. The pandemic has decimated jobs and put at risk millions of livelihoods. The vivid challenges being faced are multifold, e. g. , fear, depression, poor physical well-being, economic collapses, educational and professional hardships, domestic violence, family breakdowns, and many more. COVID-19 is a new type of coronavirus that had not been identified in humans previously. There are several behavioral and mental health-related problems increasing in all people due to Coronavirus which are relatively more important than physical well-being. Thus, this paper aims to comprehensively review the current literature on the negative effect of the COVID-19 on behavioral and mental health, as well as pertinent, useful, and effective psychosocial interventions to be provided to the needy and vulnerable brackets of human society. To accomplish this work, relevant and major research papers available on PUBMED and Google Scholar have been searched and reviewed. In addition, a few more chapters and articles (published after the year 2000) have also been reviewed on interventional research to be useful and incorporated. At last, methodological limitations and conclusions focus on a need for more representative research to understand the prevalence of mental health problems among the general population due to pandemics.
A SYSTEMATIC SEARCH FOR X-RAY CAVITIES IN THE HOT GAS OF GALAXY GROUPS

We have performed a systematic search for X-ray cavities in the hot gas of 51 galaxy groups with Chandra archival data. The cavities are identified based on two methods: subtracting an elliptical β-model fitted to the X-ray surface brightness, and performing unsharp masking. Thirteen groups in the sample (∼25%) are identified as clearly containing cavities, with another 13 systems showing tentative evidence for such structures. We find tight correlations between the radial and tangential radii of the cavities, and between their size and projected distance from the group center, in quantitative agreement with the case for more massive clusters. This suggests that similar physical processes are responsible for cavity evolution and disruption in systems covering a large range in total mass. We see no clear association between the detection of cavities and the current 1.4 GHz radio luminosity of the central brightest group galaxy, but there is a clear tendency for systems with a cool core to be more likely to harbor detectable cavities. To test the efficiency of the adopted cavity detection procedures, we employ a set of mock images designed to mimic typical Chandra data of our sample, and find that the model-fitting approach is generally more reliable than unsharp masking for recovering cavity properties. Finally, we find that the detectability of cavities is strongly influenced by a few factors, particularly the signal-to-noise ratio of the data, and that the real fraction of X-ray groups with prominent cavities could be substantially larger than the 25%–50% suggested by our analysis.
Objectifying Science: Impersonalization in English Research Articles From Different Disciplines

English academic writing has often been characterized as being direct, accurate, and objective. One way of achieving objectivity is through the use of a communicative strategy called impersonalization. The present research examines linguistic devices that academic writers have at their disposal to avoid explicit reference, especially to themselves, and to detach themselves from the information they convey. It also addresses the question of whether this impersonalization strategy is expressed differently across different disciplines. For these purposes, a corpus of 45 primary empirical research articles from the fields of linguistics, medicine, and natural sciences were analyzed both qualitatively and quantitatively with the help of corpus linguistic method. The results of the research showed that impersonalization in English research articles could be expressed through the use of agentless passive constructions and impersonal constructions. The results indicate that English academic discourse is marked by the use of agentless passive constructions (199.17 tokens per 10.000 words) to express impersonalization, which was primarily used to serve as writer-oriented hedging functions. The study also revealed highly significant differences in the use of impersonalization in linguistics, medicine and natural sciences. This seems to suggest that impersonalization in English academic discourse is expressed differently in different fields of study.
Measurement of hand grip strength: A cross-sectional study of two dynamometry devices

Background Grip strength has been identified as an important indicator of health status and predictor of clinical outcomes. The gold standard for measuring grip strength is the JAMAR® Hydraulic Hand Dynamometer. Less expensive dynamometers are available but have not been validated within a hospital setting. Objectives To validate the Camry Digital Handgrip Dynamometer (Model EH101) against the validated JAMAR® Dynamometer (Model J00105) in a hospital population. Methods A cross-sectional observational study with a randomised single-blind cross-over component was conducted on consenting adult patients admitted to general hospital wards. The best of three measurements taken using the dominant hand was used for analysis. Results Fifty-one participants (median [interquartile range] age 42 [30–58] years; n = 27 [52.9%] female) were included. The mean difference between the Jamar® and Camry measurements was 1.9 kg ± 3.6 kg (t-value 0.9; p = 0.4). There was a strong positive correlation between the Jamar® and the Camry devices (R = 0.94; r² = 0.88; p < 0.0001). Excellent agreement was found between Jamar® and Camry measurements (interclass correlational coefficient 0.97, 95% CI 0.94–0.99, p < 0.0001). Hand dominance significantly affected the agreement between devices (p = 0.002). Conclusions The Camry Digital Handgrip Dynamometer is a valid tool for assessing grip strength in hospitalised adult patients. Clinical implications The Camry Digital Handgrip Dynamometer could be used as an inexpensive tool to measure grip strength.
MAMPOSSt: Modelling Anisotropy and Mass Profiles of Observed Spherical Systems – I. Gaussian 3D velocities

Mass modelling of spherical systems through internal motions is hampered by the mass/velocity anisotropy (VA) degeneracy inherent in the Jeans equation, as well as the lack of techniques that are both fast and adaptable to realistic systems. A new fast method, called MAMPOSSt, which performs a maximum likelihood fit of the distribution of observed tracers in projected phase space, is developed and thoroughly tested. MAMPOSSt assumes a shape for the gravitational potential, but instead of postulating a shape for the distribution function in terms of energy and angular momentum, or supposing Gaussian line-of-sight velocity distributions, MAMPOSSt assumes a VA profile and a shape for the 3D velocity distribution, here Gaussian. MAMPOSSt requires no binning, differentiation, nor extrapolation of the observables. Tests on cluster-mass haloes from LambdaCDM cosmological simulations show that, with 500 tracers, MAMPOSSt is able to jointly recover the virial radius, tracer scale radius, dark matter scale radius and outer or constant VA with small bias (<10% on scale radii and <2% on the two other quantities) and inefficiencies of 10%, 27%, 48% and 20%, respectively. MAMPOSSt does not perform better when some parameters are frozen, and even worse when the virial radius is set to its true value, which appears to be the consequence of halo triaxiality. The accuracy of MAMPOSSt depends weakly on the adopted interloper removal scheme, including an efficient iterative Bayesian scheme that we introduce here, which can directly obtain the virial radius with as good precision as MAMPOSSt. Our tests show that MAMPOSSt with Gaussian 3D velocities is very competitive with, and up to 1000x faster than other methods. Hence, MAMPOSSt is a very powerful and rapid tool for the mass and anisotropy modeling of systems such as clusters and groups of galaxies, elliptical and dwarf spheroidal galaxies.
Sheaf theoretic classifications of pairs of square matrices over arbitrary fields

We give classifications of linear orbits of pairs of square matrices with non-vanishing discriminant polynomials over a field in terms of certain coherent sheaves with additional data on closed subschemes of the projective line. Our results are valid in a uniform manner over arbitrary fields including those of characteristic two. This work is based on the previous work of the first author on theta characteristics on hypersurfaces. As an application, we give parametrizations of orbits of pairs of symmetric matrices under special linear groups with fixed discriminant polynomials generalizing some results of Wood and Bhargava-Gross-Wang.
THE SPECTRUM OF Fe ii

The spectrum of singly ionized iron (Fe ii) has been recorded using high-resolution Fourier transform (FT) and grating spectroscopy over the wavelength range 900 Å to 5.5 μm. The spectra were observed in high-current continuous and pulsed hollow cathode discharges using FT spectrometers at the Kitt Peak National Observatory, Tucson, AZ and Imperial College, London and with the 10.7 m Normal Incidence Spectrograph at the National Institute of Standards and Technology. Roughly 12,900 lines were classified using 1027 energy levels of Fe ii that were optimized to measured wavenumbers. The wavenumber uncertainties of lines in the FT spectra range from 10−4 cm−1 for strong lines around 4 μm to 0.05 cm−1 for weaker lines around 1500 Å. The wavelength uncertainty of lines in the grating spectra is 0.005 Å. The ionization energy of (130,655.4 ± 0.4) cm−1 was estimated from the 3d6(5D)5g and 3d6(5D)6h levels.
Design Parameters for Planning the Sample Size of Individual-Level Randomized Controlled Trials in Community Colleges

The last two decades have seen a dramatic increase in randomized controlled trials (RCTs) conducted in community colleges. Yet, there is limited empirical information on the design parameters necessary to plan the sample size for RCTs in this context. For a blocked student-level random assignment research design, key design parameters for the minimum detectable true effect (MDTE) are the within-block outcome standard deviation ( σ | S ) and the within-block outcome variance explained by baseline covariates like student characteristics ( R | S 2 ) . We provide empirical estimates of these key design parameters, discussing the pattern of estimates across outcomes (enrollment, credits earned, credential attainment, and grade point average), semesters, and studies. The main analyses use student-level data from 8 to 14 RCTs including 5,649–7,099 students (depending on the outcome) with follow-up data for 3 years. The following patterns are observed: the within-block standard deviation ( σ | S ) and therefore the MDTE can be much larger in later semesters for enrollment outcomes and cumulative credits earned; there is substantial variation across studies in σ | S for degree attainment; and baseline covariates explain less than 10% of the variation in student outcomes. These findings indicate that when planning the sample size for a study, researchers should be mindful of the follow-up period, use a range of values to calculate the MDTE for outcomes that vary across studies, and assume a value of R | S 2 between 0 and 0.05. A public database created for this paper includes parameter estimates for additional RCTs and students.
The Local Bosonic Algorithm applied to the massive Schwinger model

We investigate various variants of the Hermitean version of the Local Bosonic Algorithm proposed by M. L\"uscher. The model used is two-dimensional Quantum Electrodynamics (QED) with two flavours of massive Wilson fermions. The simplicity of the model allows high statistics simulations close to the chiral and continuum limit. To find optimal CPU cost behaviour, we vary the approximation polynomial parameters $n$ and \epsilon$ as well as the number of over-relaxation steps within each trajectory. We find flat behaviour around the optimum and a modest gain with respect to the Hybrid Monte Carlo algorithm for all variants. On the technical side, we demonstrate that a noisy Metropolis acceptance step is possible also for the Hermitean variant. The numerical instabilities appearing in the evaluation Chebyshev polynomial are investigated. We propose a quantitative criterion for these instabilities and a reordering scheme of the roots reducing the problem. The more physical problem of topological charge sectors and metastability is addressed. We find no plateau in the effective pion mass if metastabilities become too large.
Prevalence and Molecular Differentiation of Brucella Species ‎in Buffaloe Raw Milk and Karish Cheese in Egypt

Ninety buffalo’s milk samples included 20 bulk tank milk samples from small dairy farms and 70 from retail milk at different localities in Dakahlia Governorate. Forty-eight individual milk specimens were obtained from animals positive for Rose Bengal Test (RBT), buffered acidified plate antigen test (BAPAT) together. Milk samples were tested with a milk ring test (MRT), followed by isolation and identification of the prevalent serotypes. At the same time, conventional PCR was applied. One hundred and sixty seven buffalo’s serum samples were collected from 12 smallholder’s herds and their bulk tanks gave positive to MRT were confirmed by BAPAT and RBT. A total of 50 karish cheese were collected from street vendors and supermarkets located in Mansoura city, Dakahlia Governorate, Egypt. Conventional PCR was also used to detect Brucella DNA at the species level on the collected cheese samples. The results showed that the prevalence of brucellosis in small dairy buffalo farms was 60% by MRT and 28.7% though using RBT and BAPAT. The prevalence of Brucella in buffalo's retail milk was 20% in each of Bilqase, Sherbin, and Talkha, 30% in each of Aga and Nabroh, 10% in Sinblaween. However no positive results was revealed in Mansoura. The isolation rate of Brucella was 31.25% in individual positive samples and 7.69% in retail positive milk samples. While using conventional PCR, the percentage reached 62.5% in individual positive samples and 69.23% in retail positive milk samples. All Brucella isolates (n = 16) were biochemically identified into three Brucella abortus biovar1 (18.75%) and 13 Brucella melitensis biovar 3 (81.25%). The prevalence of Brucella in examined Karish cheese was 20%. All of the tested isolates were verified using conventional PCR. Raw milk and unpasteurized soft cheese have public health risks for humans and are possible sources of transmitting Brucella and must be under regular and mandatory food control measures.