Miracle-dz/UniFAR-FTUs huggingface dataset:
A short communication of 2022 dengue outbreak in Bangladesh: a continuous public health threat

Dengue virus infection, a highly prominent health concern, has caused many health complications, positive cases, and deaths in Bangladesh in previous years. However, the prevalence of this infection and fatality rates in 2022 has shattered all prior records. The dengue virus vector, mosquitoes, found a high prevalence of infection due to the weather’s favorable conditions for breeding in the months of June and July. While there is presently no particular vaccination for dengue infection, awareness of its epidemiology, pathogenesis, signs, and symptoms may aid in the development of improved diagnostic and treatment strategies. The government should also improve the infrastructure of cities to make prevent mosquito breeding and the spread of dengue infection.
An investigation of the performance of parametric functional forms for the Lorenz curve

Given that an excellent performance of any parametric functional form for the Lorenz curve that is based on a single country case study and a limited range of distribution must be treated with great caution, this study investigates the performance of a single-parameter functional form proposed by Paul and Shankar (2020) who use income data of Australia to show that their functional form is superior to the other existing widely used functional forms considered in their study. By using both mathematical proof and empirical data of 40 countries around the world, this study demonstrates that Paul and Shankar (2020)’s functional form not only fails to fit the actual observations well but also is generally outperformed by the other popular functional forms considered in their study. Moreover, to overcome the limitation of the performance of a single-parameter functional form on the criterion of the estimated Gini index, this study employs a functional form that has more than one parameter in order to show that, by and large, it performs better than all popular single-parameter functional forms considered in Paul and Shankar (2020)’s study. Thus, before applying any functional form to estimate the Lorenz curve, policymakers should check if it could describe the shape of income distributions of different countries through the changes in parameter values and yield the values of the estimated Gini index that are close to their observed data. Using a functional form that does not fit the actual observations could adversely affect inequality measures and income distribution policies.
Rural and urban residents’ attitudes and preferences toward COVID-19 prevention behaviors in a midwestern community

Rural populations are more vulnerable to the impacts of COVID-19 compared to their urban counterparts as they are more likely to be older, uninsured, to have more underlying medical conditions, and live further from medical care facilities. We engaged the Southeastern MN (SEMN) community (N = 7,781, 51% rural) to conduct a survey of motivators and barriers to masking to prevent COVID-19. We also assessed preferences for types of and modalities to receive education/intervention, exploring both individual and environmental factors primarily consistent with Social Cognitive Theory. Our results indicated rural compared to urban residents performed fewer COVID-19 prevention behaviors (e.g. 62% rural vs. 77% urban residents reported wearing a mask all of the time in public, p<0.001), had more negative outcome expectations for wearing a mask (e.g. 50% rural vs. 66% urban residents thought wearing a mask would help businesses stay open, p<0.001), more concerns about wearing a mask (e.g. 23% rural vs. 14% urban were very concerned about being ‘too hot’, p<0.001) and lower levels of self-efficacy for masking (e.g. 13.9±3.4 vs. 14.9±2.8, p<0.001). It appears that masking has not become a social norm in rural SEMN, with almost 50% (vs. 24% in urban residents) disagreeing with the expectation ’others in my community will wear a mask to stop the spread of Coronavirus’. Except for people (both rural and urban) who reported not being at all willing to wear a mask (7%), all others expressed interest in future education/interventions to help reduce masking barriers that utilized email and social media for delivery. Creative public health messaging consistent with SCT tailored to rural culture and norms is needed, using emails and social media with pictures and videos from role models they trust, and emphasizing education about when masks are necessary.
SPOT: an optimization software for dynamic observation programming

The surveys dedicated to the search for extrasolar planets with the recently installed extreme-AO, high contrast Planet Imagers generally include hundreds of targets, to be observed sometimes repeatedly, generally in Angular Differential Imaging Mode. Each observation has to fulfill several time-dependent constraints, which makes a manual elaboration of an optimized planning impossible. We have developed a software (SPOT), an easy to use tool with graphical interface that allows both long term (months, years) and dynamic (nights) optimized scheduling of such surveys, taking into account all relevant constraints. Tests show that excellent schedules and high filling efficiencies can be obtained with execution times compatible with real-time scheduling, making possible to take in account complex constraints and to dynamically adapt planning to unexpected circumstances even during their execution. Moreover, such a tool is very valuable during survey preparations to build target lists and calendars. SPOT could be easily adapted for scheduling observations other instruments or telescopes.
Small area estimation with linear mixed models from unit-level panel and rotating panel data

The key question of small area estimation is how to obtain reliable regional statistics when the sample data contain too few observations for statistical inference of adequate precision. A common procedure is to employ statistical models, which make it possible to "borrow strength" for the estimation by utilizing data from similar or neighbouring areas or from earlier similar surveys. This work concentrates on the latter alternative, which is often called borrowing strength over time. We consider here small area estimation from longitudinal unit-level survey data collected with a panel or a rotating panel design, where the sampled units are observed several times according to a specified scheme. We apply a 3-level variance component model to such data and under it we derive formulas for an estimator of small area total and its mean squared error within the empirical best linear unbiased prediction (EBLUP) framework. Through a simulation study we show that in small area estimation it is extremely useful to utilize rotating panel data instead of cross-sectional data or complete panel data when (cross-sectional) small area totals are to be estimated. Increasing the effective sample size by using rotating panel data reduces relative estimation errors, leading to smaller bias and more accurate point estimates. Also the mean squared errors of the estimates are reduced, which leads to narrower but still valid confidence intervals. In addition, utilizing rotating panel data provides protection for possible bias caused by misspecified model. These merits appear particularly in the smallest areas.
Cooperative assembly of a designer peptide and silk fibroin into hybrid nanofiber gels for neural regeneration after spinal cord injury

Local reconstruction of a permissive environment with biomaterials is a promising strategy to treat spinal cord injury (SCI). We reported a hybrid hydrogel fabricated from a small functional self-assembling peptide (F-SAP) and large silk fibroin (SF). The diffusion of SF micelles into F-SAP solution was driven by the dynamic synergy between osmotic pressure and F-SAP/SF electrostatic interactions, resulting in the rearrangement of SF micelles and the formation of rod-like filaments with axes nearly perpendicular to F-SAP nanofibers. Spectroscopy analysis, including circular dichroism, Raman and fluorescence, indicated conformation changes of SF from random coil to β sheet, which contributed to enhanced mechanical properties of the resultant hybrid hydrogel. Furthermore, the F-SAP/SF hybrid hydrogel coupled with controlled release of NT-3 provided a permissive environment for neural regeneration by providing nanofibrous substrates for regenerating axons, inflammatory modulation and remyelination, consequently resulting in improved locomotion and electrophysiological properties. This hydrogel could be used as a long-term stent in vivo for the treatment of SCI.
An average power criterion for sample size estimation

The use of an empirical estimate of effect size in the standard sample size formula introduces variability in the power to detect the true underlying effect. A useful criterion for judging the performance of a sample size estimation procedure, when there is uncertainty about effect size, is that the average power supplied to those studies in a discipline seeking a particular level of power should reach the nominal level. The common informal practice of substituting an effect size estimate from an earlier study in the traditional sample size formula fails to meet this criterion, yielding an average power that falls below the nominal level, often by a considerable margin. An alternative method of sample size determination that satisfies the average power criterion is outlined.
Hormonal responses to brief social interactions: The role of psychosocial stress and relationship status

This study investigated the effects of psychosocial stress on hormonal responses to a social interaction with an opposite-sex individual to test the hypothesis that stress may interfere with or suppress adaptive neuroendocrine responses to courtship opportunities. Heterosexual men and women were randomly assigned prior to arrival to either a control or psychosocial stress condition (Trier Social Stress Test) and subsequently went through a social interaction test with an opposite-sex individual. Expected increases of testosterone for control participants who interacted with opposite-sex individuals were not observed, and changes in testosterone were not observed for those in the psychosocial stress condition either. However, exploratory analyses in control participants showed main and interaction effects of relationship status were significant for both cortisol and testosterone. Specifically, single individuals showed higher levels of cortisol compared to those in a relationship, and single individuals showed significantly higher concentrations of cortisol after a social interaction when compared to individuals who were in a relationship. For testosterone, only individuals in a relationship decreased in testosterone following the social interaction. This study suggests that relationship status and psychosocial stress may be important variables moderating the relationship between an ecological cue of a potential courtship opportunity and subsequent adaptive physiological responses.
Postnatal depression and its social-cultural influences among adolescent mothers: A cross sectional study

In rural Malawi, adolescent mothers represent 31% of pregnancies. While some adolescent mothers experience motherhood as an exciting, positive, and affirming experience, for others, it may increase their risk of postnatal depression (PND). Social norms and culture contribute to adolescent mothers’ experiences and may influence their mental health. However, there is limited research around the prevalence of PND and its cultural influences among adolescent mothers. A cross-sectional survey was administered from 7th September 2021 to 31st March 2022. Three hundred and ninety-five adolescent postnatal mothers aged ≤19 were conveniently recruited at Mitundu hospital in Lilongwe, Malawi. The Edinburgh Postnatal Depression Scale was used to assess depression. A cutoff point of ≥ 10 was employed to categorize probable PND. Binary logistic regression was used to determine the predictors of depression. The mean age of participants was 17 (SD 1.157). and 43.6% (n = 172) presented with PND (EPDS scores ≥10). When all factors were considered in a binary logistic model, adolescents who had ever experienced intimate partner violence (IPV) were 13.6 times more likely to report PND after controlling for age and other predictors compared to those without an experience of IPV (aOR 13.6, p = 0.01, 95% CI 2.10–88.9). Participants whose families did not decide for them (regarding their care) were 2.3 times more likely to present with PND than those whose families decided for them (aOR 2.3 p = 0.03, 95% CI 1.04–5.2). Adolescent mothers who had interacted with their health worker were less likely to report PND than those who had no interaction with the health worker (aOR 0.4 P0.02, CI 0.17–0.67). Social and cultural factors can impact mental health of adolescent mothers. It is recommended that targeted and integrated interventions are developed, implemented. and evaluated. There is a need to improve policy and practice to better support adolescent mothers postnatally.
The Nature of Winter Clouds and Precipitation in the Cascade Mountains and their Modification by Artificial Seeding. Part I: Natural Conditions

Abstract This is the first of three papers describing field investigations, carried out from 1969 to 1974, of winter clouds and precipitation in the Cascade Mountains of Washington State, and physical evaluations of their modification by artificial seeding. The present paper describes airborne and ground observations of the natural clouds and precipitation.It has been observed that (i) in pre-frontal conditions ice particles dominate over water droplets above the −10°C level, but the ratio of ice to water is lower in post-frontal conditions; (ii) the passage of an occluded or warm front causes a sharp lowering of the diffusional growth layers of the ice crystals, so that particles reaching the ground change from unrimed crystals which grow at low temperatures to rimed crystals which form at higher temperatures; (iii) the maximum ice particle concentrations in the clouds are often several orders of magnitude greater than measurements of ice nuclei would suggest; (iv) the growth of precipitation particles b.
New structures of Class II Fructose-1,6-Bisphosphatase from Francisella tularensis provide a framework for a novel catalytic mechanism for the entire class

Class II Fructose-1,6-bisphosphatases (FBPaseII) (EC: 3.1.3.11) are highly conserved essential enzymes in the gluconeogenic pathway of microorganisms. Previous crystallographic studies of FBPasesII provided insights into various inactivated states of the enzyme in different species. Presented here is the first crystal structure of FBPaseII in an active state, solved for the enzyme from Francisella tularensis (FtFBPaseII), containing native metal cofactor Mn2+ and complexed with catalytic product fructose-6-phosphate (F6P). Another crystal structure of the same enzyme complex is presented in the inactivated state due to the structural changes introduced by crystal packing. Analysis of the interatomic distances among the substrate, product, and divalent metal cations in the catalytic centers of the enzyme led to a revision of the catalytic mechanism suggested previously for class II FBPases. We propose that phosphate-1 is cleaved from the substrate fructose-1,6-bisphosphate (F1,6BP) by T89 in a proximal α-helix backbone (G88-T89-T90-I91-T92-S93-K94) in which the substrate transition state is stabilized by the positive dipole of the 〈-helix backbone. Once cleaved a water molecule found in the active site liberates the inorganic phosphate from T89 completing the catalytic mechanism. Additionally, a crystal structure of Mycobacterium tuberculosis FBPaseII (MtFBPaseII) containing a bound F1,6BP is presented to further support the substrate binding and novel catalytic mechanism suggested for this class of enzymes.
A Case-Control Study of Cognitive Function in Patients with End-Stage Renal Disease Before and After Hemodialysis in Southern Spain

Background Cognitive problems are frequent in patients with end-stage renal disease (ESRD) treated with hemodialysis. However, previous studies used only a single cognitive screening test or a small number of cognitive indices, which is inadequate for an exhaustive evaluation of cognitive deficits. This case-control study aimed to evaluate cognitive function in patients with ESRD before and after hemodialysis at centers in southern Spain, and included analysis of associations between cognitive function and duration of hemodialysis, biochemistry, body composition, and treatment variables. Material/Methods Cognitive performance was evaluated in 42 healthy participants (HPs) and in 43 ESRD patients, before and after hemodialysis. The tests measured verbal and visual memory, sustained/selective attention, and processing speed. The diagnostic criterion for ESRD was a glomerular filtration rate <15 mL/min/1.73 m2. Correlation and multiple regression analyses were used to explore the relationships between cognitive and clinical variables, controlling for age, schooling, mood, and blood pressure. Results Scores for verbal memory, sustained/selective attention, and processing speed were lower in patients with ESRD treated with hemodialysis than in HPs, with no between-group differences in visual memory. No acute hemodialysis-specific effect on performance was observed. Several biochemistry variables were associated with performance, both negatively (eg total cholesterol, calcium, and total protein) and positively (eg sodium, phosphorus, and creatinine). Conclusions Patients with ESRD treated with hemodialysis showed cognitive deficits in verbal memory, sustained/selective attention, and processing speed. Performance was not significantly different between tests administered before and after hemodialysis. An adequate diet as well as physical exercise could be useful to improve cognitive performance in this population.
A novel adaptive image fuzzy enhancement algorithm

The no-linearity transform in image enhancement is studied in detail, and its drawbacks are found, on the basis of which a novel image fuzzy enhancement arithmetic operator is proposed, which not only has a closing character and an automatic-adjusting character, but also has a transplant character to other enhancement arithmetic. In addition, by quoting fuzzy entropy, the selection of the threshold value in image enhancement is beneficial to a certain extent. We use our new algorithm to extract image edges, with a better result than that of the now-available image fuzzy enhancement method.
Self-reported emotional and behavioral problems among school-going adolescents in Nepal—A cross-sectional study

Background Studies on self-reported emotional and behavioral problems (EBPs) among adolescents are still sparse in many low- and middle-income countries. In Nepal, no such studies have been performed on a larger scale, and little is known about self-reported EBPs in the adolescent population. Methods This cross-sectional, school-based study on EBPs included 1904 adolescents aged 11–18 years, enrolled in government and private schools located in 16 districts in Nepal. The Nepali version of the Youth Self Report form was used to assess self-reported EBPs, and the Teacher Report Form was used to assess academic performance. Analysis of variance (ANOVA) was used for gender comparisons on adolescents’ EBPs and on academic competence. Multiple regression analysis was done to explore correlates of self-reported EBPs. Results The overall prevalence of self-reported EBPs was 14.2%; 15.6% in boys and 12.9% in girls. The mean Total Problems score was 39.27 (standard deviation = 24.16); no gender differences were observed. Boys scored higher on Externalizing Problems and girls scored higher on Internalizing Problems. The effect sizes for gender comparisons were small with Hedges’ g ranging from -0.29 to 0.28. Physical illness and negative/traumatic life events were positively correlated with self-reported EBPs, whereas academic performance was negatively correlated. However, the effect sizes were small (η2 < 0.02). Conclusion This study helps to narrow the knowledge gap on the prevalence, magnitude, and types of self-reported EBPs in Nepali adolescents. It demonstrated an association between self-reported EBPs and academic performance and linked self-reported EBPs to other factors such as negative/traumatic life events and physical illness. The findings might assist health authorities in the planning of mental health services and may also provide valuable background information to clinicians dealing with adolescent mental health problems.
Evaluating an Integrated Local System Response to the COVID-19 Pandemic: Case Study of East Toronto Health Partners

Introduction: East Toronto Health Partners (ETHP) is a network of organizations that serve residents of East Toronto, Ontario, Canada. ETHP is a newly formed integrated model of care in which hospital, primary care, community providers and patients/families work together to improve population health. We describe and evaluate the evolution of this emerging integrated care system as it responded to a global health crisis. Description: This paper begins by describing ETHP’s pandemic response mapping out over two years of data. To evaluate the response, semi-structured interviews were conducted with 30 decision makers, clinicians, staff, and volunteers who were part of the response. The interviews were thematically analyzed, and emergent themes mapped onto the nine pillars of integrated care. Discussion: The ETHP pandemic response evolved rapidly. Early siloed responses gave way to collaborative efforts and equity emerged as a central priority. New alliances formed, resources were shared, leaders emerged, and community members stepped forward to contribute. Interviewees identified positives as well as many opportunities for improvement post-pandemic. Conclusion: The pandemic was a catalyst for change in East Toronto that accelerated existing initiatives to achieve integrated care. The East Toronto experience may serve as a useful guide for other emerging integrated care systems.
Iodine avidity in papillary and poorly differentiated thyroid cancer is predicted by immunohistochemical and molecular work-up

Background Successful radioiodine treatment of differentiated thyroid cancer requires iodine avidity: that is, the concentration and retention of iodine in cancer tissue. Several parameters have previously been linked with lower iodine avidity. However, a comprehensive analysis of which factors best predict iodine avidity status, and the magnitude of their impact, is lacking. Methods Quantitative measurements of iodine avidity in surgical specimens (primary tumour and lymph node metastases) of 28 patients were compared to immunohistochemical expression of the thyroid-stimulating hormone receptor, thyroid peroxidase (TPO), pendrin, sodium–iodide symporter (NIS) and mutational status of BRAF and the TERT promoter. Regression analysis was used to identify independent predictors of poor iodine avidity. Results Mutations in BRAF and the TERT promoter were significantly associated with lower iodine avidity for lymph node metastases (18-fold and 10-fold, respectively). Membranous NIS localisation was found only in two cases but was significantly associated with high iodine avidity. TPO expression was significantly correlated with iodine avidity (r = 0.44). The multivariable modelling showed that tumour tissue localisation (primary tumour or lymph node metastasis), histological subtype, TPO and NIS expression and TERT promoter mutation were each independent predictors of iodine avidity that could explain 68% of the observed variation of iodine avidity. Conclusions A model based on histological subtype, TPO and NIS expression and TERT promoter mutation, all evaluated on initial surgical material, can predict iodine avidity in thyroid cancer tissue ahead of treatment. This could inform early adaptation with respect to expected treatment effect.