Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF SYSTEMIC PGF2Α PLUS INTRAUTERINE BENZATHINE CEPHAPIRIN COMBINATION IN TREATMENT OF CLINICALLY AND ULTRASONOGRAPHICALLY DIAGNOSED ENDOMETRITIS IN HOLSTEIN DAIRY COWS

The objectives of the present study were to validate transrectal ultrasonography (US) as a reliable diagnostic tool for endometritis, as well as to determine the efficiency of intrauterine infusion (IU) of benzathine cephapirin plus systemic PGF2α as a treatment protocol of endometritis in Holstein dairy cows. 260 Holstein cows were included in this study. The affected cows were examined rectally and US. The cows were divided according to the diagnostic method and treatment protocol into 3 groups. Group1: rectally diagnosed and received systemic PGF2α. Group2: rectally diagnosed and received IU benzathine cephapirin plus systemic PGF2α. Group3: US diagnosed and received IU benzathine cephapirin plus systemic PGF2α. Good reproductive indices were recorded for cows examined US and treated with combination of IU benzathine cephapirin plus systemic PGF2α. A highly significant positive correlations were observed between days in milking (DIM) and most of tested reproductive indices. Meanwhile, Daily milk yield was negatively correlated with all tested reproductive indices. In conclusion, trans-rectal US could be used as a reliable method for early diagnosis of endometritis. In addition, using a combination of IU application of benzathine cephapirin plus systemic PGF2α was superior treatment protocol in endometritis in comparison with PGF2α.
K-08-2021-0672_proof 98..118

Purpose – The purpose of this work is twofold. First, looks to identify the main homogenous groups of companies after environmental, social, economic and governance (ESEG) disclosures, non-financial statement and earnings per share (EPS), and second investigates the connection between variables. Design/methodology/approach – Using financial and non-financial information from annual reports of private listed companies, the authors performed two-step cluster analysis (TSCA) in the first stage of the research, followed by parametric, nonparametric correlation analysis, as well as regression analysis based on panel data, in the second stage. Findings – Results of TSCA revealed a cluster of companies with good financial and non-financial outcomes and a cluster of companies with poor performance. The performance dynamics showed a slight improvement during the period for few companies and composition analysis of clusters by industries through Kruskal– Wallis test highlighted differences between clusters, only for 2017. The main findings confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and financial performance (FP), valid for the entire period. Also, the results showed a direct link of low intensity to average, but statistically significant between the non-financial statement and EPS, valid only for 2017 and 2018. Research limitations/implications – The results indicate mixed findings which invites further in-depth research. Limits of the study can be found in selected indicators and the short period of time analyzed. However, the practical implications are worth considering from the perspective of finding new managerial tools that can better shape the relationship between ESEG disclosures and FP. Practical implications –ESEGDindx can be an instrument formanagers that can optimize the link between the FP of companies and its sustainable development. Social implications – ESEG Dindx measures the disclosure degree of ESEG information by the companies listed on Bucharest Stock Exchange (BSE). The main findings of the work confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and FP, valid for the entire period. K 51,13
DENTAL CARIES IN PRIMARY MOLARS IN 7-8-YEAR-OLD SCHOOLCHILDREN EVALUATED WITH CARIES ASSESSMENT SPECTRUM AND TREATMENT (CAST) INDEX

Aim: The aim of this study was to evaluate caries in primary and first permanent molars of 7-8-year-old Faisalabad school children by the Caries Assessment Spectrum and Treatment (CAST) index and to find whether there was any correlation between the caries stages in such teeth Methods: The study covered 284 7-8-year-old children from randomly selected schools in Faisalabad. The prevalence of CAST categories was evaluated with regard to the first and second primary molars. The Spearman’s rank correlation coefficient was used to explore the correlation of the distribution of CAST codes among the evaluated teeth. The level of statistical significance was established at p < 0.05. The intra-examiner reliability was determined by the unweighted kappa coefficient Results: Caries in primary molars was most often recorded at the stage of cavitated dentine lesion. Teeth with pulpal involvement, sepsis and extracted due to caries were found to be more prevalent in first, and then in second primary molars. A strong correlation was found between the status of teeth from the right and left sides of the oral cavity. The correlation of the status of first and second primary teeth was stronger for the left than for the right side of the mouth, r was 0.627 and 0.472 in maxilla and 0.513 and 0.483 in mandible (p < 0.001), respectively. The intra-examiner reliability was established at 0.96 for the primary dentition. Conclusion: The strongest correlation found in the evaluated population concerned the distribution of caries in primary molars on the left side of the mouth. The study proved the usefulness of the CAST index in epidemiological surveys. Corresponding author:
Mathematics anxiety and metacognitive processes: Proposal for a new line of inquiry

This paper presents a proposal for a new area of investigation that connects the metacognition literature, and especially the recently developed meta-reasoning framework, with research into mathematical reasoning, mathematics learning, and mathematics anxiety. Whereas the literature on mathematics anxiety focusses on the end result of learning and problem-solving, the metacognitive approach can offer further insight by a fine-grained analysis of the stages of these processes. In particular, it provides tools for exposing students' initial assessment of tasks and test situations, the targets they set for themselves, the process of monitoring progress, and decisions to stick with or abandon a particular solution. The paper outlines various ways in which the metacognitive approach could be used to investigate the effects of mathematics anxiety on mathematics learning and problem solving. This approach could help in answering questions like: Do anxious and non-anxious learners differ in how they prepare for an exam? Are anxious students more or less prone to overconfidence than non-anxious students? What metacognitive decisions mediate maths anxious participants' tendency to give up on problems too early? Additionally, this line of work has the potential to significantly expand the scope of metacognitive investigations and provide novel insights into individual differences in the metacognitive regulation of learning and problem solving. It could also offer some practical benefits by focusing the attention of educational designers on particular components within the learning process of anxious students.
Exploring the Lifetime Effect of Children on Wellbeing Using Two-Sample Mendelian Randomisation

Objectives: To provide Mendelian randomisation evidence of the effect of having children on parental wellbeing. Design: Two sample Mendelian randomisation. Setting: Non-clinical European ancestry participants. Participants: We used the UK Biobank (460,654 male and female European ancestry participants) as a source of genotype-exposure associations, and the Social Science Genetics Consortia (SSGAC) (298,420 male and female European ancestry participants) and Within-Family Consortia (effective sample of 22,656 male and female European ancestry participants) as sources of genotype-outcome associations. Interventions: The lifetime effect of an increase in the genetic liability to having children. Primary and secondary outcome measures: The primary analysis was an inverse variance weighed analyses of subjective wellbeing measured in the 2016 SSGAC GWAS. Secondary outcomes included pleiotropy robust estimators applied in the SSGAC and an analysis using the Within-Family consortia GWAS. Results: The primary IVW estimate found evidence of a 0.153 standard deviation increase for every child a parent has (95% CI: -0.210 to 0.516). Secondary outcomes were generally slightly deflated (e.g. -0.049 [95% CI: -0.533 to 0.435] for the WFC and 0.090 [95% CI: -0.167 to 0.347] for weighted median) implying the presence of some residual confounding and pleiotropy. Conclusions: Contrary to the existing literature, our results are not compatible with a measurable negative effect of number of children on the average wellbeing of a parent over their life course. However, we were unable to explore non-linearities, interactions, or time varying effects.
Use of systemic hormonal contraception and risk of attempted suicide

Background. Evidence regarding the role of hormonal contraception (HC) as a risk factor for attempted suicide (AS) is inconclusive. The aim was to assess the associations of use of different types of systemic hormonal contraceptives with the risk of AS in women aged 15-49 years. Methods. Data were retrieved from national registers in Finland. The AS incidence in 2018-2019 was assessed in a population-based cohort of women (n=587,823) according to their HC use in 2017. To examine the risk of AS related to HC use in the six months preceding the suicide attempt (i.e. current use), we used a nested case-control design with 1:4 ratio (n=4090), and applied multivariable conditional logistic regression models. Results. During the follow-up 1.174,346 million person-years were cumulated and 818 AS cases observed (incidence rate=0.70, 95% CI=0.63-0.83 per 1000 person-years). The incidence rate ratio of HC (n=344 cases) vs. no-HC (n=474 cases) was 0.73 (95% CI=0.63-0.83). Use of HC, and specifically of combined hormonal contraceptives was associated with a lower AS risk compared to non-use when controlling for marital status, socioeconomic status, education, chronic diseases and recent delivery (OR=0.55, 95% CI=0.42-0.73), but not when further adjusting for recent psychiatric hospitalizations and current use of psychotropic medications (OR=0.68, 95% CI=0.45-1.02). Current use of progestogen-only preparations was not associated with AS. Conclusions. HC use appeared not associated with an increased AS risk in fertile-aged women. The choice of the best and safest contraceptive option should take individual mental health status, including assessment of suicidal risk, into account.
Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration

Objective: Modeling of the ophthalmologist's decision-making process for activity detection in neovascular age-related macular degeneration with a multi-task convolutional deep neuronal network which takes intra- and subretinal fluid into account. Design: A cohort study to evaluate the multi-task deep learning model for activity detection. Participants: n = 70 patients (46 female, 24 male) attended the University Eye Hospital Tuebingen between 21.2. 2018 and 27.6. 2018. 3762 optical coherence tomography B-scans (right eye: 2011, left eye: 1751) were acquired from them with Heidelberg Spectralis, Heidelberg, Germany. Methods: B-scans were graded by a retina specialist and an ophthalmology resident, and then used to develop a multi-task deep learning model to concurrently predict disease activity in neovascular age-related macular degeneration along with the presence of sub- and intraretinal fluid. Main outcome measures: Performance metrics compared to single-task networks, visualization of the representation driving the DNN-based decisions using t-distributed stochastic neighbor embedding and analysis of the model's decisions via clinically validated saliency mapping techniques. Results: The multi-task model surpassed single-task networks in accuracy for activity detection. Visualizations via t-distributed stochastic neighbor embedding and saliency maps highlighted that the network's decisions for activity of neovascular age-related macular degeneration were based on the presence of sub- and intraretinal fluids, the optical coherence tomography characteristics used for treatment decision in clinical routine. Conclusion: Multi-task learning increases the performance of neuronal networks for predicting disease activity, while providing clinicians with an easily accessible decision control, which resembles human reasoning.
Moral injury and psychological wellbeing in UK healthcare staff

Abstract Background Potentially morally injurious events (PMIEs) can negatively impact mental health. The COVID-19 pandemic may have placed healthcare staff at risk of moral injury. Aim To examine the impact of PMIE on healthcare staff wellbeing. Methods Twelve thousand nine hundred and sixty-five healthcare staff (clinical and non-clinical) were recruited from 18 NHS-England trusts into a survey of PMIE exposure and wellbeing. Results PMIEs were significantly associated with adverse mental health symptoms across healthcare staff. Specific work factors were significantly associated with experiences of moral injury, including being redeployed, lack of PPE, and having a colleague die of COVID-19. Nurses who reported symptoms of mental disorders were more likely to report all forms of PMIEs than those without symptoms (AOR 2.7; 95% CI 2.2, 3.3). Doctors who reported symptoms were only more likely to report betrayal events, such as breach of trust by colleagues (AOR 2.7, 95% CI 1.5, 4.9). Conclusion A considerable proportion of NHS healthcare staff in both clinical and non-clinical roles report exposure to PMIEs during the COVID-19 pandemic. Prospective research is needed to identify the direction of causation between moral injury and mental disorder as well as continuing to monitor the longer term outcomes of exposure to PMIEs.
Application of machine learning and complex network measures to an EEG dataset from DMT experiments

There is a growing interest in the medical use of psychedelic substances as preliminary studies using them for psychiatric disorders have shown positive results. In particularly, one of these substances is N,N-dimethyltryptamine (DMT) an agonist serotonergic psychedelic that can induce profound alterations in state of consciousness. In this work, we propose a computational method based on machine learning as an exploratory tool to reveal DMT-induced changes in brain activity using EEG data and provide new insights into the mechanisms of action of this psychedelic substance. To answer these questions, we propose a two-class classification based on (A) the connectivity matrix or (B) complex network measures derived from it as input to a support vector machine We found that both approaches were able to automatically detect changes in the brain activity, with case (B) showing the highest AUC (89%), indicating that complex network measurements best capture the brain changes that occur due to DMT use. In a second step, we ranked the features that contributed most to this result. For case (A) we found that differences in the high alpha, low beta, and delta frequency band were most important to distinguish between the state before and after DMT inhalation, which is consistent with results described in the literature. Further, the connection between the temporal (TP8) and central cortex (C3) and between the precentral gyrus (FC5) and the lateral occipital cortex (T8) contributed most to the classification result. The connection between regions TP8 and C3 has been found in the literature associated with finger movements that might have occurred during DMT consumption. However, the connection between cortical regions FC5 and P8 has not been found in the literature and is presumably related to emotional, visual, sensory, perceptual, and mystical experiences of the volunteers during DMT consumption. For case (B) closeness centrality was the most important complex network measure. Moreover, we found larger communities and a longer average path length with the use of DMT and the opposite in its absence indicating that the balance between functional segregation and integration was disrupted. This findings supports the idea that cortical brain activity becomes more entropic under psychedelics. Overall, a robust computational workflow has been developed here with an interpretability of how DMT (or other psychedelics) modify brain networks and insights into their mechanism of action. Finally, the same methodology applied here may be useful in interpreting EEG time series from patients who consumed other psychedelic drugs and can help obtain a detailed understanding of functional changes in the neural network of the brain as a result of drug administration.
Global estimates of the fitness advantage of SARS-CoV-2 variant Omicron

New variants of SARS-CoV-2 show remarkable heterogeneity in their relative fitness both over time and space. In this paper we extend a previously published model for estimating the selection strength for new SARS-CoV-2 variants to a hierarchical, mixed-effects, renewal equation model. This formulation allows us to globally estimate selection effects at different spatial levels while controlling for complex patterns of transmission and jointly inferring the effects of unit-level covariates in the spatial heterogeneity of SARS-CoV-2 selection effects. Applying this model to the spread of Omicron in 40 counties finding evidence for very strong (64%) but very heterogeneous selection effects at the country level. We further considered different measures of vaccination levels and measures of recent population-level infection as possible explanations. However, none of those variables were found to explain a significant proportion of the heterogeneity in country-level selection effects. We did find a significant positive correlation between the selection advantage of Delta and Omicron at the country level, suggesting that region-specific explanatory variables of fitness differences do exist. Our method is implemented in the Stan programming language, can be run on standard commercial-grade computing resources, and should be straightforward to apply to future variants.
OP-ICVA160112 555..559

stromal tumors. Surgery 2016;4:1146–56. [15] Jung J, Park SY, Park SJ, Park J. Prognostic value of the neutrophil-tolymphocyte ratio for overall and disease-free survival in patients with surgically treated esophageal squamous cell carcinoma. Tumour Biol 2016;37:7149–54. [16] Asano Y, Kashiwagi S, Onoda N, Noda S, Kawajiri H, Takashima T et al. Predictive value of neutrophil/lymphocyte ratio for efficacy of preoperative chemotherapy in triple-negative breast cancer. Ann Surg Oncol 2016;23:1104–10. [17] Lee S, Oh SY, Kim SH, Lee JH, Kim MC, Kim KH et al. Prognostic significance of neutrophil lymphocyte ratio and platelet lymphocyte ratio in advanced gastric cancer patients treated with FOLFOX chemotherapy. BMC Cancer 2013;13:350. [18] Templeton AJ, McNamara MG, Seruga B, Vera-Badillo FE, Aneja P, Oca~ na A et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J Natl Cancer Inst 2014;106:dju124. [19] Sanchez-Salcedo P, de-Torres JP, Martinez-Urbistondo D, GonzalezGutierrez J, Berto J, Campo A et al. The neutrophil to lymphocyte and platelet to lymphocyte ratios as biomarkers for lung cancer development. Lung Cancer 2016;97:28–34. [20] Lamy A, Devereaux PJ, Prabhakaran D, Taggart DP, Hu S, Paolasso E et al. Off-pump or on-pump coronary-artery bypass grafting at 30 days. N Engl J Med 2012;366:1489–97.
AbilityChemotactic Responses and In Vivo Homing Myeloid Dendritic Cells: Impact on C-C Chemokine Receptor 7 Expression by Chemokine Receptor 5 but Down-Regulate Mammalian and Viral IL-10 Enhance C-C

The immunosuppressive and anti-inﬂammatory cytokine IL-10 inhibits the phenotypic and functional maturation of dendritic cells (DC) and has been reported to confer tolerogenic properties on these important professional APC. Here, we exposed murine bone marrow-derived myeloid DC to either mouse (m) or viral (v) IL-10 early during their in vitro generation in response to GM-CSF and IL-4. Both mIL-10 and vIL-10 down-regulated the expression of CCR7 mRNA determined by RT-PCR, while mIL-10 up-regulated the expression of CCR5 transcripts. These changes in CCR7 and CCR5 expression were associated with inhibition and augmentation, respectively, of DC chemotaxis toward their respective agonists, macrophage inﬂammatory proteins 3 b and 1 a , while in vivo homing of DC from peripheral s.c. sites to secondary lymphoid tissue of syngeneic or allogeneic recipients was signiﬁcantly impaired. Anti-mIL-10R mAb reversed the effects of mIL-10 on CCR expression and restored DC homing ability. Retroviral transduction of mIL-10- and vIL-10-treated DC to overexpress transgenic CCR7 partially restored the cells’ lymphoid tissue homing ability in allogeneic recipients. However, CCR7 gene transfer did not reinstate the capacity of IL-10-treated DC to prime host naive T cells for ex vivo proliferative responses or Th1 cytokine (IFN- g ) production in response to rechallenge with (donor) alloantigen. These ﬁndings suggest that in addition to their capacity to subvert DC maturation/function and confer re-quired
MDER_A_288188 15..25

1Real World Data Sciences, Medical Device Epidemiology, Johnson & Johnson, New Brunswick, NJ, USA; 2Mu-Sigma, Bangalore, India; 3DePuy Orthopedics, Inc., West Chester, PA, USA; 4Health Economics and Market Access, DePuy Synthes, West Chester, PA, USA Objective: This study evaluated the rates and patterns of intramedullary nail (IMN) breakage and mechanical displacement for proximal femur fractures and the factors associated with their occurrence. Patients and Methods: Patients with subtrochanteric, intertrochanteric, or basicervical femoral neck fractures treated with IMN from 2016 to 2019 were identified from commercial and Medicare supplemental claims databases and were followed for up to two years. Kaplan–Meier analysis estimated the cumulative incidence of and patterns of breakage/mechanical displacement. Multivariable Cox regression models evaluated the factors associated with breakage/mechanical displacement. Results: A total of 11,128 patients had IMN fixation for subtrochanteric, intertrochanteric, or basicervical femoral neck fractures: (mean SD) age 75.6 (16.4) years, 66.2% female, 74.3% Medicare supplemental vs 26.7% commercial insurance. Comorbidities included hypertension (62.9%), osteoporosis (27.3%), cardiac arrhythmia (23.1%), diabetes (30.7%), and chronic pulmonary disease (16.3%). Most fractures were closed (97.2%), intertrochanteric or basicervical femoral neck (80.1%), and not pathological (91.0%). The cumulative incidence of nail breakage over two years was 0.66% overall, 1.44% for combination fractures, 1.16% for subtrochanteric fractures, and 0.49% for intertrochanteric or basicervical fractures. The cumulative incidence of mechanical displacement was 0.37% overall, 0.43% for subtrochanteric fractures, 0.42% for combination fractures, and 0.36% for intertrochanteric or basicervical femoral neck fractures. Half of the breakages occurred within five months after surgery and half of the mechanical displacements occurred within 75 days. Age 50–64 (vs 75+) and subtrochanteric or pathological fracture were more commonly associated with nail breakage. Complicated hypertension was more commonly associated with mechanical displacement. Conclusion: The incidence of IMN breakage and mechanical displacement in US commercial and Medicare supplemental patients with proximal femur fractures from 2016 to 2019 was low (0.66% and 0.37%, respectively up to two years). Age 50–64 (vs 75+) and subtrochanteric or pathological fracture were more commonly associated with breakage. Complicated hypertension was associated with mechanical displacement.