Miracle-dz/UniFAR-FTUs huggingface dataset:
Corruption and informal sector households’ participation in health insurance in Sierra Leone

Lack of credibility and trust in fund managers has been highlighted as one of the key reasons why people do not join health insurance schemes in low- and middle-income countries, especially in Africa. This work investigates the impact of corruption on households’ willingness to participate and pay for health insurance in Sierra Leone. A discrete choice experiment (DCE) method was used to elicit households’ willingness to participate in a health insurance scheme with different attributes. The data were collected from 1458 representative households working in the informal sector of the Northern and Western regions. We explore the relationship between household characteristics and experienced (respectively, perceived) corruption with binary and ordered logit models. We use a Mixed Logit model to estimate the association between corruption and participation in a Health Insurance Scheme (HIS) and households’ willingness to pay for a HIS. We find that corruption decreases participation in a public HIS and the willingness to pay for it. Our results highlight the perverse spillover effects of corruption. Not only does corruption hinder the effectiveness of healthcare systems and, thus, worsen health outcomes. It also undermines the willingness to pay for them, jeopardizing the sustainability of healthcare systems in the countries that need them most.
Malignancy diseases and kidneys: A nephrologist prospect and updated review

Acute kidney injury (AKI), chronic renal failure, and tubular abnormalities represent the kidney disease spectrum of malignancy. Prompt diagnosis and treatment may prevent or reverse these complications. The pathogenesis of AKI in cancer is multifactorial. AKI affects outcomes in cancer, oncological therapy withdrawal, increased hospitalization rate, and hospital stay. Renal function derangement can be recovered with early detection and targeted therapy of cancers. Identifying patients at higher risk of renal damage and implementing preventive measures without sacrificing the benefits of oncological therapy improve survival. Multidisciplinary approaches, such as relieving obstruction, hydration, etc., are required to minimize the kidney injury rate. Different keywords, texts, and phrases were used to search Google, EMBASE, PubMed, Scopus, and Google Scholar for related original and review articles that serve the article’s aim well. In this nonsystematic article, we aimed to review the published data on cancer-associated kidney complications, their pathogenesis, management, prevention, and the latest updates. Kidney involvement in cancer occurs due to tumor therapy, direct kidney invasion by tumor, or tumor complications. Early diagnosis and therapy improve the survival rate. Pathogenesis of cancer-related kidney involvement is different and complicated. Clinicians’ awareness of all the potential causes of cancer-related complications is essential, and a kidney biopsy should be conducted to confirm the kidney pathologies. Chronic kidney disease is a known complication in malignancy and therapies. Hence, avoiding nephrotoxic drugs, dose standardization, and early cancer detection are mandatory measures to prevent renal involvement.
LINC01589 serves as a potential tumor-suppressor and immune-related biomarker in endometrial cancer: A review

Currently, increasing attention is being paid to biomarkers in endometrial cancer. Immune infiltration of the tumor microenvironment has been shown to significantly affect the overall survival (OS) of uterine corpus endometrial carcinoma (UCEC) patients. LINC01589 is a long non-coding RNA (lncRNA) that is rarely reported in cancer and is assumed to play a role in immune regulation. We therefore evaluated the role of LINC01589 in UCEC using the Cancer Genome Atlas (TCGA) database. We analyzed the expression of LINC01589 using the gene expression profiles of LINC01589 in the UCEC projects in TCGA. Comparisons between the differentially expressed genes (DEGs) of the cancer and adjacent normal tissues of the UCEC projects revealed that LINC01589 expression was decreased in UCEC tissues. A multivariate cox regression analysis indicated that LINC01589 upregulation could serve as an independent prognostic factor for survival. Furthermore, there was a positive correlation between LINC01589 expression and B cell, T cell, NK cell, monocytic lineage, and myeloid dendritic cell infiltration in UCEC patients. In addition, 5 clusters of hub genes were detected by comparison of different expression levels of LINC01589 in the UCEC groups. The analysis of the reactome pathway using gene set enrichment analysis (GSEA) revealed immune-related pathways, including CD22-mediated B cell receptor (BCR) regulation and antigen-activated BCRs, leading to the generation of second messengers and complement cascade pathways that were significantly enriched in the high LINC01589 expression group. Thus, LINC01589 may serve as a prognostic biomarker, as it is associated with immune infiltration in UCEC.
An investigation of the level of burnout and resilience among hospital based nurse managers after COVID 19 — A cross‐sectional questionnaire‐based study

Abstract Aim We aim to investigate burnout and resilience among hospital based nurse managers post COVID‐19 in order to suggest appropriate person‐centred leadership support. Background Nurse leaders are central to establishing safe and caring environments for patients and staff. Therefore, their own wellbeing is crucial, particular in times of crisis where they must provide support and guidance. Methods Cross‐sectional questionnaire included ward managers. Data collected were burnout inventory, brief resilience score and demographic data. To analyse data, we used descriptive statistics. Results 51.2% answered the questionnaire. Of those, 32.3% displayed symptoms of high personal burnout and 29% of work‐related burnout. 6.5% showed signs of high employee‐related burnout. As a group, ward managers showed moderate to high resilience. Conclusion Personal and work‐related burnout was highly prevalent among ward managers. Results suggest that the cause of their burnout symptoms cannot be attributed to low individual resilience. We thus suggest a shift in focus from strengthening individual leadership resilience to the establishment of healthful and resilient cultures in accordance with person‐centred leadership. Implications for Nursing Management Person‐centred leadership has the potential to shift the focus from the resilience of individual leaders to that of collective responsibility for creating a healthful and resilient culture.
The opposing roles of lethal and nonlethal effects of parasites on host resource consumption

Abstract Although parasites can kill their hosts, they also commonly cause nonlethal effects on their hosts, such as altered behaviors or feeding rates. Both the lethal and nonlethal effects of parasites can influence host resource consumption. However, few studies have explicitly examined the joint lethal and nonlethal effects of parasites to understand the net impacts of parasitism on host resource consumption. To do this, we adapted equations used in the indirect effects literature to quantify how parasites jointly influence basal resource consumption through nonlethal effects (altered host feeding rate) and lethal effects (increased host mortality). To parametrize these equations and to examine the potential temperature sensitivity of parasite influences, we conducted a fully factorial lab experiment (crossing trematode infection status and a range of temperatures) to quantify feeding rates and survivorship curves of snail hosts. We found that infected snails had significantly higher mortality and ate nearly twice as much as uninfected snails and had significantly higher mortality, resulting in negative lethal effects and positive nonlethal effects of trematodes on host resource consumption. The net effects of parasites on resource consumption were overall positive in this system, but did vary with temperature and experimental duration, highlighting the context dependency of outcomes for the host and ecosystem. Our work demonstrates the importance of jointly investigating lethal and nonlethal effects of parasites and provides a novel framework for doing so.
Stochastic Flows And Stochastic Differential Equations

Thank you very much for reading stochastic flows and stochastic differential equations. As you may know, people have search hundreds times for their favorite readings like this stochastic flows and stochastic differential equations, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some malicious bugs inside their laptop.
Indication of Activated Senescence Pathways in the Temporal Arteries of Patients With Giant Cell Arteritis

Giant cell arteritis (GCA) affects almost exclusively individuals above 50 years old, suggesting a role of aging‐related changes such as cellular senescence in its pathobiology. The kinases p21(WAF1/CIP1) and p16/INK4A play key roles in 2 distinct pathways leading to senescence. The proinflammatory molecules interleukin‐6 (IL‐6) and granulocyte–macrophage colony‐stimulating factor (GM‐CSF), which are key components of the senescence‐associated secretory phenotype (SASP), are effective targets of treatment in GCA. Here, we aimed to investigate the presence of p21+ and p16+ cells producing these SASP cytokines in temporal artery biopsies (TABs) of patients with GCA.
How Values Are Discussed, Reflected Upon, and Acted On by Patients and Family Caregivers in the Context of Heart Failure: A Scoping Review

Purpose Values are critical to how individuals make decisions and cope, yet the values of heart failure (HF) patients and their family caregivers (FCGs) remain understudied. We sought to report the state of the science on how values are discussed, reflected upon, and acted on by patients with HF, their FCGs, or both related to health-related decision making and coping. Method A scoping review was conducted of empirical studies using the following keywords: “heart failure,” “values,” “decision-making,” and “coping. ” PubMed, PsycINFO, and Scopus were searched from inception to June 2022 in English. Included articles reported values as a key finding (outcome/theme) in their abstract. Results Of 448 articles screened for eligibility, 16 met the inclusion criteria. Twelve articles reported findings addressing patient values, 3 addressed patient and FCG values, and 1 addressed FCG values. Values were reported to influence patient self-care behaviors and left ventricular assist device (LVAD) implantation decisions, although their prioritization varied across time and contexts. When prioritized values conflicted with recommended self-care activities, some patients modified their approach to achieving the value. Others modified or abandoned tasks in favor of the value and accompanying goals. Low motivation and alignment between unhealthy behaviors and values often led to nonadherent decisions. Five of 8 articles focusing on cardiac devices reported patient survival as the most prioritized value during implantation decisions. FCG values were rarely reported or evaluated separately from patient values. Patients leveraged several coping strategies, although the processes through which values affected coping was not described. Conclusions Prioritized values influenced HF-related decisions, including self-care and LVAD implantation. While several articles reported on coping and values, none described processes through which values affect coping, which highlights a research gap. Highlights Family caregiver values were rarely reported or evaluated separately from patient values, highlighting a gap in the literature.
Clinical Significance of Diffusion Tensor Imaging in Metachromatic Leukodystrophy

Abstract Background Metachromatic leukodystrophy (MLD) is a lysosomal enzyme deficiency disorder leading to progressive demyelination and, consecutively, to cognitive and motor decline. Brain magnetic resonance imaging (MRI) can detect affected white matter as T2 hyperintense areas but cannot quantify the gradual microstructural process of demyelination more accurately. Our study aimed to investigate the value of routine MR diffusion tensor imaging in assessing disease progression. Methods MR diffusion parameters (apparent diffusion coefficient [ADC] and fractional anisotropy [FA]) were in the frontal white matter, central region (CR), and posterior limb of the internal capsule in 111 MR datasets from a natural history study of 83 patients (age: 0.5–39.9 years; 35 late-infantile, 45 juvenile, 3 adult, with clinical diffusion sequences of different scanner manufacturers) as well as 120 controls. Results were correlated with clinical parameters reflecting motor and cognitive function. Results ADC values increase and FA values decrease depending on disease stage/severity. They show region-specific correlations with clinical parameters of motor and cognitive symptoms, respectively. Higher ADC levels in CR at diagnosis predicted a disease course with more rapid motor deterioration in juvenile MLD patients. In highly organized tissues such as the corticospinal tract, in particular, diffusion MR parameters were highly sensitive to MLD-associated changes and did not correlate with the visual quantification of T2 hyperintensities. Conclusion Our results show that diffusion MRI can deliver valuable, robust, clinically meaningful, and easily obtainable/accessible/available parameters in the assessment of prognosis and progression of MLD. Therefore, it provides additional quantifiable information to established methods such as T2 hyperintensity.
A Matrix Model for Forest Management

A model for the management of renewable resources is developed, a variant of a model previously given by Usher [1966] which posed one question-is the manager faced with one or several solutions? The mathematical development here shows that there is only one solution of the model that is biologically meaningful. This is associated with the only latent root of the matrix which is greater than unity. This dominant latent root has a latent vector such that all the elements can be chosen as positive. The result is based on a study of the derivative of the model, and from this a rapid method of solving the model is described. Data for a Scots pine forest are given.
Existence of radial solutions for an elliptic problem involving exponential nonlinearities

Let us consider the problem $-\Delta u+a(|x|)u=\lambda e^u$in$\ B_1,$ (0.1) $u=0$ on$ \partial B_1. $ where $B_1$ is the unit ball in $R^N$, $N\ge2$, $\lambda>0$ and $a(|x|)\ge0$ is a smooth radial function. Under some suitable assumptions on the regular part of the Green function of the operator $-u''- \frac{N-1}{r}u+a(r)u$, we prove the existence of a radial solution to (0.1) for $\lambda$ small enough.
Work as an arena for health—Supervisors’ experiences with attending to employees’ sick leave and return-to-work process

Background Supervisors play a pivotal role in the sick leave process. Although responsibility for sick leave and return to work follow-up is increasingly placed on the workplace in Norway, few studies have explored supervisors’ experiences. This study aims to explore supervisors´ experiences with attending to employees’ sick leave and return to work process. Methods This study consists of individual interviews with 11 supervisors from diverse workplaces that was analysed thematically. Results The supervisors emphasised the value of presence at the workplace, the need for them to obtain information and uphold dialogue, considering individual and environmental influences on return-to-work and allocating responsibility. Investing time and money was crucial to prevent or reduce the negative impact of sick leave. Conclusions The supervisors’ perception of attending to sick leave and return-to-work largely reflect Norwegian legislation. However, they find obtaining information and managing responsibility challenging, suggesting that their responsibilities for return-to-work are perhaps disproportionate to their knowledge on attending this process. Individualised support and guidance on how to develop accommodations based on the employee´s workability should be made available. The reciprocal nature of follow-up described also reveals how the return-to-work process is enmeshed with (inter)personal considerations possibly resulting in unequal treatment.
On the limits of fitting complex models of population history to f-statistics

Our understanding of population history in deep time has been assisted by fitting admixture graphs (AGs) to data: models that specify the ordering of population splits and mixtures, which along with the amount of genetic drift and the proportions of mixture, is the only information needed to predict the patterns of allele frequency correlation among populations. The space of possible AGs relating populations is vast, and thus most published studies have identified fitting AGs through a manual process driven by prior hypotheses, leaving the majority of alternative models unexplored. Here, we develop a method for systematically searching the space of all AGs that can incorporate non-genetic information in the form of topology constraints. We implement this findGraphs tool within a software package, ADMIXTOOLS 2, which is a reimplementation of the ADMIXTOOLS software with new features and large performance gains. We apply this methodology to identify alternative models to AGs that played key roles in eight publications and find that in nearly all cases many alternative models fit nominally or significantly better than the published one. Our results suggest that strong claims about population history from AGs should only be made when all well-fitting and temporally plausible models share common topological features. Our re-evaluation of published data also provides insight into the population histories of humans, dogs, and horses, identifying features that are stable across the models we explored, as well as scenarios of populations relationships that differ in important ways from models that have been highlighted in the literature.
Parametric Study of Ethylene Flare Operations Using Numerical Simulation

Abstract In addition to CO2 and H2O, industrial flares may also release Volatile Organic Compounds (VOCs), NOx, and CO among others. Since experimental measurements of these emissions are expensive, rigorous computational fluid dynamics (CFD) simulations and the accrued correlations are viable tools to understand and analyze factors affecting flare operations. In this paper, parametric studies of air and steam assisted ethylene flares based on CFD modeling were employed to investigate important flare operating parameters such as vent gas velocity, crosswind velocity, stoichiometric air ratio, steam-to-fuel ratio and heat content of the vent gas. The CFD modeling utilized a 50-species reduced mechanism (LU 1.1) based on rigorous combustion chemistry. Validation results of LU 1.1 are also presented. The destruction/removal efficiency and the combustion efficiency (DRE & CE) were computed along with HRVOCs/VOCs/NOx emission rates to quantify the flare performance. Correlations between DRE/CE and major parameters (crosswind, jet velocity, and combustion zone heating value) were developed using the results obtained from the case studies. A modified combustion zone heating value definition was proposed to compute a comprehensive heating value in the combustion zone.
Cross-Platform Synaptic Network Analysis of Human Entorhinal Cortex Identifies TWF2 as a Modulator of Dendritic Spine Length

Proteomic studies using postmortem human brain tissue samples have yielded robust assessments of the aging and neurodegenerative disease(s) proteomes. While these analyses provide lists of molecular alterations in human conditions, like Alzheimer's disease (AD), identifying individual proteins that affect biological processes remains a challenge. To complicate matters, protein targets may be highly understudied and have limited information on their function. To address these hurdles, we sought to establish a blueprint to aid selection and functional validation of targets from proteomic datasets. A cross-platform pipeline was engineered to focus on synaptic processes in the entorhinal cortex (EC) of human patients, including controls, preclinical AD, and AD cases. Label-free quantification mass spectrometry (MS) data (n = 2260 proteins) was generated on synaptosome fractionated tissue from Brodmann area 28 (BA28; n = 58 samples). In parallel, dendritic spine density and morphology was measured in the same individuals. Weighted gene co-expression network analysis was used to construct a network of protein co-expression modules that were correlated with dendritic spine metrics. Module-trait correlations were used to guide unbiased selection of Twinfilin-2 (TWF2), which was the top hub protein of a module that positively correlated with thin spine length. Using CRISPR-dCas9 activation strategies, we demonstrated that boosting endogenous TWF2 protein levels in primary hippocampal neurons increased thin spine length, thus providing experimental validation for the human network analysis. Collectively, this study describes alterations in dendritic spine density and morphology as well as synaptic proteins and phosphorylated tau from the entorhinal cortex of preclinical and advanced stage AD patients. SIGNIFICANCE STATEMENT Proteomic studies can yield vast lists of molecules that are altered under various experimental or disease conditions. Here, we provide a blueprint to facilitate mechanistic validation of protein targets from human brain proteomic datasets. We conducted a proteomic analysis of human entorhinal cortex (EC) samples spanning cognitively normal and Alzheimer's disease (AD) cases with a comparison of dendritic spine morphology in the same samples. Network integration of proteomics with dendritic spine measurements allowed for unbiased discovery of Twinfilin-2 (TWF2) as a regulator of dendritic spine length. A proof-of-concept experiment in cultured neurons demonstrated that altering Twinfilin-2 protein level induced corresponding changes in dendritic spine length, thus providing experimental validation for the computational framework.