Miracle-dz/UniFAR-FTUs huggingface dataset:
Piezo channels contribute to the regulation of myelination in Schwann cells

Peripheral nerves and Schwann cells have to sustain constant mechanical constraints, caused by developmental growth as well as stretches associated with movements of the limbs and mechanical compressions from daily activities. In Schwann cells, signaling molecules sensitive to stiffness or stretch of the extracellular matrix, such as YAP/TAZ, have been shown to be critical for Schwann cell development and peripheral nerve regeneration. YAP/TAZ have also been suggested to contribute to tumorigenesis, neuropathic pain, and inherited disorders. Yet, the role of mechanosensitive ion channels in myelinating Schwann cells is vastly unexplored. Here we comprehensively assessed the expression of mechanosensitive ion channels in Schwann cells and identified that PIEZO1 and PIEZO2 are among the most abundant mechanosensitive ion channels expressed by Schwann cells. Using classic genetic ablation studies, we show that PIEZO1 is a transient inhibitor of radial and longitudinal myelination in Schwann cells. Contrastingly, we show that PIEZO2 may be required for myelin formation, as the absence of PIEZO2 in Schwann cells delays myelin formation. We found an epistatic relationship between PIEZO1 and PIEZO2, at both the morphological and molecular levels. Finally, we show that PIEZO1 channels affect the regulation of YAP/TAZ activation in Schwann cells. Overall, we present here the first demonstration that PIEZO1 and PIEZO2 contribute to mechanosensation in Schwann cells as well myelin development in the peripheral nervous system.
Conflicting Working Relationships Among Nurses: The Intersection of Should Nursing, Double Domination, and the Big Picture

Background Research conducted on conflict between Registered Nurses (RNs) has established that it happens regularly within the hospital setting, that it adversely affects the health and well-being of RNs, impacts the effective functioning of the health care organization, and compromises quality patient care. In this article, the phrase conflicting working relationships (CWRs) is used to represent working relationships between RN peers that are non-collegial, uncaring, and non- supportive, and inclusive of the behaviours associated with incivility, horizontal violence, and bullying, among others. Purpose To examine how nursing, including nursing knowledge and practice, is socially organized within the hospital setting and how this organization is linked to CWRs between RN peers. Methods Interviews were conducted with 17 RNs, followed by text analysis and mapping guided by institutional ethnography (IE) as the research methodology. Results The intersections between should nursing, double domination, and the big picture threads shows work environments where RNs struggle to provide appropriate care and conflict has become institutionalized. The intersection between threads can be used as caution areas for RNs and individuals in leadership positions to reflect on nursing practice when conflict is being experienced. Conclusions The contextual variables surrounding professional nursing practice are very influential with respect to how RNs relate to each other. A new type of dialogue about the organization of nursing practice in the hospital setting is needed to support more relational practices between RNs.
Top3α is the replicative topoisomerase in mitochondrial DNA replication

Abstract Mitochondrial DNA has been investigated for nearly fifty years, but many aspects of the maintenance of this essential small genome remain unknown. Like any genome, mammalian mitochondrial DNA requires the function of topoisomerases to counter and regulate the topological tension arising during replication, transcription, segregation, and repair. However, the functions of the different mitochondrial topoisomerases are poorly understood. Here, we investigate the role of Topoisomerase 3α (Top3α) in mtDNA replication and transcription, providing evidence that this enzyme, previously reported to act in mtDNA segregation, also participates in mtDNA replication fork progression. Top3α knockdown caused replication fork stalling, increased mtDNA catenation and decreased mtDNA levels. Overexpression in contrast induced abundant double-strand breaks around the replication origin OH and abortion of early replication, while at the same time improving the resolution of mtDNA replication termination intermediates. Both Top3α knockdown and overexpression affected mitochondrial RNA transcription, leading to a decrease in steady-state levels of mitochondrial transcripts. Together, our results indicate that the mitochondrial isoform of Top3α is not only involved in mtDNA segregation, as reported previously, but also supports the progression of the replication fork. Mitochondrial Top3α is also influencing the progression of transcription, with its absence affecting downstream transcript levels.
Parainfluenza virus infections in patients with hematological malignancies or stem cell transplantation: Analysis of clinical characteristics, nosocomial transmission and viral shedding

To assess morbidity and mortality of parainfluenza virus (PIV) infections in immunocompromised patients, we analysed PIV infections in a hematology and stem cell transplantation (SCT) unit over the course of three years. Isolated PIV strains were characterized by sequence analysis and nosocomial transmission was assessed including phylogenetic analysis of viral strains. 109 cases of PIV infection were identified, 75 in the setting of SCT. PIV type 3 (n = 68) was the most frequent subtype. PIV lower respiratory tract infection (LRTI) was observed in 47 patients (43%) with a mortality of 19%. Severe leukopenia, prior steroid therapy and presence of co-infections were significant risk factors for development of PIV-LRTI in multivariate analysis. Prolonged viral shedding was frequently observed with a median duration of 14 days and up to 79 days, especially in patients after allogeneic SCT and with LRTI. Nosocomial transmission occurred in 47 patients. Phylogenetic analysis of isolated PIV strains and combination with clinical data enabled the identification of seven separate clusters of nosocomial transmission. In conclusion, we observed significant morbidity and mortality of PIV infection in hematology and transplant patients. The clinical impact of co-infections, the possibility of long-term viral shedding and frequent nosocomial transmission should be taken into account when designing infection control strategies.
Insight into bacterial community profiles of oil shale and sandstone in ordos basin by culture-dependent and culture-independent methods

Abstract To promote the exploitation of unconventional oil resources by indigenous microorganisms, the bacterial community profiles of oil shale and sandstone in Ordos Basin were investigated using Illumina Miseq sequencing combined with the culture-based method, which was performed and reported in this literature for the first time. A total of 601 operational taxonomic units (OTUs) were obtained from collected samples, the predominant phylum present in all samples was Proteobacteria (76.96%-93.07%). Discriminatory bacterial community profiles existed in those samples by culture-dependent and culture-independent methods, with variations not only in diversity indices but also in the abundance of bacteria at different genus levels. The dominant genera in cultured sandstone sample (SCB), uncultured sandstone sample (SUB), cultured shale sample (YCB), uncultured shale sample (YUB) were Enhydrobacter (71.62%), Acidovorax (42.44%), Pseudomonas (40.13%), Variovorax (70.02%), respectively. Both sample sources and culturing methods were the principal factors affecting the variation, while the communities’ structures were favored primarily by culture-dependent or culture-independent approaches. The high abundance of hydrocarbon degradation-related genes was exhibited in YCB, which reveals a great potential for utilization of the culture-dependent method in shale oil exploitation. This study provided guidance for the exploitation of shale oil and sandstone oil by artificial utilization of indigenous bacteria.
Psychometric Assessment of the Breastfeeding Self-Efficacy Scale-Short Form: A Confirmatory Factor Analysis of Indonesian Mothers

This study aimed to evaluate the psychometric properties of the Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF) in Indonesian postpartum women. We conducted a cross-sectional study including 237 postpartum women in Yogyakarta City, Indonesia. Participants completed the BSES-SF, Edinburgh Postnatal Depression Scale (EPDS), and Hospital Anxiety and Depression Scale (HADS). Construct validity, internal reliability, and divergent validity were examined using confirmatory factor analysis, Cronbach’s alpha, and Pearson’s correlations. We identified a unidimensional structure through confirmatory factor analysis with an excellent internal consistency by Cronbach’s alpha of . 90. Divergent validity was evidenced by low correlation of the BSES-SF with the depressive symptoms (EPDS, r = −.21; HADS-D, r = −.17, p < .05) and anxiety symptoms (HADS-A, r = −.15, p = .02). It is concluded that the Indonesian version of BSES-SF is a valid and reliable measurement tool to assess breastfeeding self-efficacy among postpartum women.
Testing a New Hedging Theory of Prediction Interval Formation

We develop and test a simple hedging theory of prediction interval formation. In the presence of uncertainty, forecasters hedge their forecasts by adjusting the prediction interval based on their own (first-order) belief in a way that reflects their (second-order) belief about others’ beliefs. Anchoring and adjustment leads to a positive relationship between an asymmetry measure for the prediction interval and the belief wedge, defined as the di fference between the second-order belief and the first-order belief. Using data from three experiments in which subjects are asked to forecast future stock prices, we provide empirical support for the theory.
Diagnostic Performance of Circulating Tumor Cells for Predicting of Hepatocellular Carcinoma in Hepatitis C Virus-High Risk Patients: Role of Liquid Biopsy

Purpose: Hepatocellular carcinoma (HCC) is a primary malignancy of the liver and a global health problem. It is often diagnosed at advanced stage where hopeless for effective therapies. Identification of more reliable biomarkers for early detection of HCC is urgently needed. circulating tumor cells (CTCs) represent a unique liquid biopsy carrying comprehensive biological information of the primary tumor. Herein, we sought to develop a novel score based on the combination of the most significant CTCs biomarkers with and routine laboratory tests for accurate detection of HCC. Methods: Cytokeratin 18 (CK18), Cytokeratin 19 (CK19), albumin, platelets count, and α-fetoprotein were assayed in HCC patients (42), liver cirrhosis patients (83) and healthy control (20). Results: Areas under receiving operating curve (AUCs) were calculated and used for construction on novel score. A novel score named HCC-CTCs = AFP (U/L) × 0.08 - Albumin (g/dl) × 84 + CK 18 % × 2.9 + CK19 × 3.1- Platelets count (×109)/L× 0.75– 510. HCC-CTCs score produce AUC of 1 for differentiate patients with HCC from those with liver cirrhosis with sensitivity and specificity of a cut-off 0. Conclusions: HCC-CTCs score could replace AFP during screening of HCV patients and early detection of HCC.
Role of Toll‐like receptor 4 in intravascular hemolysis‐mediated injury

Massive intravascular hemolysis is a common characteristic of several pathologies. It is associated with the release of large quantities of heme into the circulation, promoting injury in vulnerable organs, mainly kidney, liver, and spleen. Heme activates Toll‐like receptor 4 (TLR4), a key regulator of the inflammatory response; however, the role of TLR4 in hemolysis and whether inhibition of this receptor may protect from heme‐mediated injury are unknown. We induced intravascular hemolysis by injection of phenylhydrazine in wildtype and Tlr4‐knockout mice. In this model, we analyzed physiological parameters, histological damage, inflammation and cell death in kidney, liver, and spleen. We also evaluated whether heme‐mediated‐inflammatory effects were prevented by TLR4 inhibition with the compound TAK‐242, both in vivo and in vitro. Induction of massive hemolysis elicited acute kidney injury characterized by loss of renal function, morphological alterations of the tubular epithelium, cell death, and inflammation. These pathological effects were significantly ameliorated in the TLR4‐deficient mice and in wildtype mice treated with TAK‐242. In vitro studies showed that TAK‐242 pretreatment reduced heme‐mediated inflammation by inhibiting the TLR4/NF‐κB (nuclear factor kappa B) axis. However, analysis in liver and spleen indicated that TLR4 deficiency did not protect against the toxic accumulation of heme in these organs. In conclusion, TLR4 is a key molecule involved in the renal inflammatory response triggered by massive intravascular hemolysis. TLR4 inhibition may be a potential therapeutic approach to prevent renal damage in patients suffering from hemolysis. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Monkeypox goes viral: measuring the misinformation outbreak on Twitter.

1 Department of Internal Medicine, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Faculty of Health Sciences, Universidad de Sucre, Sincelejo, Sucre, Colombia 3 Latin American Network on Monkeypox Virus research (LAMOVI), Pereira, Risaralda, Colombia 4 Committee on Tropical Medicine, Zoonoses and Travel Medicine, Colombian Association of Infectious Diseases (ACIN), Bogota, Colombia 5 Faculty of Medicine, Fundación Universitaria de las Américas, Sede Pereira, Pereira, Risaralda, Colombia 6 Institución Universitaria Visión de las Américas, Pereira, Risaralda, Colombia 7 Grupo de Investigación Biomedicina, Faculty of Medicine, Fundación Universitaria Autónoma de las Américas, Pereira, Risaralda, Colombia 8 Master of Clinical Epidemiology and Biostatistics, Universidad Cientifica del Sur, Lima, Peru
SiNx Double Layer Antireflection Coating by Plasma-Enhanced Chemical Vapor Deposition for Single Crystalline Silicon Solar Cells

Double layer antireflection (DLAR) coatings have significant advantages over single-layer antireflection (SLAR) coatings owing to their coverage of a broad solar spectral range. In this study, the properties of SiNx are examined. DLAR coatings using two thin films of SiNx with different refractive indices are presented. Using the same materials is more cost-effective than using different materials. The total thickness of SiNx/SiNx films is kept at 80 nm. The top SiNx film has a refractive index of 1.9, while the bottom layer has a refractive index of 2.3. Single crystalline solar cells are fabricated with different thicknesses for the top and bottom layers. The solar cell with 60 nm/20 nm SiNx DLAR coatings has 18.3% efficiency, while that with 80 nm SiNx SLAR coating has 17.6% efficiency. The improvement of efficiency is due to the effect of better passivation and better antireflection of DLAR.
The experience of obstetric nursing students in an innovative maternal care programme in Chiapas, Mexico: a qualitative study

Abstract In Mexico, over the last decade, more non-physician medical professionals have been participating in birth care according to recent federal regulations. So far, very few sites have been able to implement birth care models where midwives and obstetric nurses participate. We describe the experience of a group of intern obstetric nurses participating in a model that provides respectful birth care to rural populations, managed by an international NGO in partnership with the Ministry of Health of Chiapas, Mexico. We conducted a case study including individual interviews and focus group discussions with obstetric nurse interns participating in the Compañeros En Salud programme over four years from 2016 to 2019. We applied targeted content analysis to the qualitative data. There were 28 participants from 4 groups of interns. Informants expressed their opinions in four areas: (a) training as a LEO, (b) training experience at CES, (c) LEO role in health care delivery; and (d) LEOs' perspectives about respectful maternity care. Interns identified gaps in their training including a higher load of theoretical content vs practical experience, as well as little supervision of clinical care in public hospitals. Their adaptation to the health services model has increased over time, and recent classes acknowledge the difficulties that earlier ones had to confront, including the challenging interactions with hospital staff. Interns have incorporated the value of respectful birth care and their role to protect this right in rural populations. Findings could be useful to call for the expansion of the model in public birth centres.
Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study

Objective To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection. Design This is a multicentre platform development study based on retrospective, cross-sectional data sets. Images were labelled by two-level certificated graders as the ground truth. According to the UK DR screening guideline, a DL model based on colour retinal images with five-dimensional classifiers, namely image quality, retinopathy, maculopathy gradability, maculopathy and photocoagulation, was developed. Referable decisions were generated by integrating the output of all classifiers and reported at the image, eye and patient level. The performance of the DL was compared with DR experts. Setting DR screening programmes from three hospitals and the Lifeline Express Diabetic Retinopathy Screening Program in China. Participants 83 465 images of 39 836 eyes from 21 716 patients were annotated, of which 53 211 images were used as the development set and 30 254 images were used as the external validation set, split based on centre and period. Main outcomes Accuracy, F1 score, sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), Cohen’s unweighted κ and Gwet’s AC1 were calculated to evaluate the performance of the DL algorithm. Results In the external validation set, the five classifiers achieved an accuracy of 0.915–0.980, F1 score of 0.682–0.966, sensitivity of 0.917–0.978, specificity of 0.907–0.981, AUROC of 0.9639–0.9944 and AUPRC of 0.7504–0.9949. Referable DR at three levels was detected with an accuracy of 0.918–0.967, F1 score of 0.822–0.918, sensitivity of 0.970–0.971, specificity of 0.905–0.967, AUROC of 0.9848–0.9931 and AUPRC of 0.9527–0.9760. With reference to the ground truth, the DL system showed comparable performance (Cohen’s κ: 0.86–0.93; Gwet’s AC1: 0.89–0.94) with three DR experts (Cohen’s κ: 0.89–0.96; Gwet’s AC1: 0.91–0.97) in detecting referable lesions. Conclusions The automatic DL system for detection of referable DR based on the UK guideline could achieve high accuracy in multidimensional classifications. It is suitable for large-scale, real-world DR screening.
MDM2 is a Potential Target Gene of Glycyrrhizic Acid for Circumventing Breast Cancer Resistance to Tamoxifen: Integrative Bioinformatics Analysis

Background: Tamoxifen is the drug of choice for treating breast cancer, particularly the estrogen receptor-positive luminal A subtype. However, the increased occurrence of Tamoxifen resistance highlights the need to develop an agent to enhance the effectiveness of this drug. Objective: Although glycyrrhizic acid (GA) is known to exhibit cytotoxic effects on Michigan Cancer Foundation-7 cells, the specific gene targets and pathways it employs to overcome Tamoxifen resistance are incompletely understood. Therefore, the goal of the present research is to discover the potential targets and pathways of GA by using a bioinformatics approach. Methods: Differentially expressed genes (DEGs) were identified in the Gene Expression Omnibus NCBI database using microarray data from GSE67916 and GSE85871. Further analyses were performed on these DEGs by using DAVID v6.8, STRING-DB v11.0, and Cytoscape v3.8. 0. Analysis of gene alterations was performed using cBioPortal for target validation, and the relevant interaction process was examined via the molecular docking method. Results: Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses identified the PI3K-AKT signaling as the potential target mechanism. Construction of the protein–protein interaction network and analysis of hub genes identified the top 25 hub genes. Genetic alterations were observed in six potential target genes, such as CDK2, MDM2, NF1, SMAD3, PTPN11, and CALM1. Molecular docking analysis demonstrated that the docking score of GA is lower than that of the native ligand of p53. More importantly, 3n the PI3K-AKT signaling pathway is a potential target for overcoming Tamoxifen resistance in breast cancer. C Conclusion: MDM2 may be a potential gene target of GA and the PI3K-AKT signaling may be a prospective mechanism for overcoming Tamoxifen resistance in breast cancer cells. Additional research is required to validate the findings of this study.
IGMtransmission: A Java GUI to model the effects of the Intergalactic Medium on the colours of high redshift galaxies

IGMtransmission is a Java graphical user interface that implements Monte Carlo simulations to compute the corrections to colours of high-redshift galaxies due to intergalactic attenuation based on current models of the Intergalactic Medium. The effects of absorption due to neutral hydrogen are considered, with particular attention to the stochastic effects of Lyman Limit Systems. Attenuation curves are produced, as well as colours for a wide range of filter responses and model galaxy spectra. Alternative filter response curves and spectra may be readily uploaded. The code is freely available from this http URL. It is licensed under the GNU General Public License v.3.
A Possible Link of Aerosol and Cloud Radiations to Asian Summer Monsoon and Its Implication in Long

The influence of aerosol and cloud radiations upon the Asian summer monsoon was studied by using the global numerical weather prediction (NWP) model at the Japan Meteorological Agency (JMA). We parameterize both the direct and indirect effects of aerosols on radiative processes. In addition, criteria of cloud diagnosis are modified to enhance the cloud cover over the land in contrast to that over the ocean, considering that clouds form more easily over the land due to surface inhomogeneity and stay longer in the atmosphere due to smaller droplet size over the land than over the ocean. We confirm that the prediction of Asian monsoon activity is very sensitive to inclusions of aerosols and land-cloud enhancement. The control model, which uses the same cloud diagnosis scheme both over the land and over the ocean and does not include any effects of aerosols, systematically overpredicts the absorbed solar radiation (ASR) over land. The test model with these processes fairly reduces the systematic errors of land-ocean contrast of ASR. Over the Eurasian continent, the test model reduces ASR and lowers low-level temperature through land-atmosphere interactions. It suppresses monsoonal circulations in Southeast Asia and significantly delays northward migration of the typical fronts around East Asia, such as the Meiyu, Changma and Baiu fronts. The impact of land-cloud enhancement on one-month forecasts of the Asian monsoon seems to be similar to that of aerosols. Although the reduction of systematic errors of ASR indicates the relevance of the total effects of the two parameterization schemes, relative magnitudes of their impacts in nature are still uncertain. Further studies are required on distributions of aerosols and their optical properties, and cloud formation mechanisms particularly associated with the land-ocean difference, including aerosol-cloud interactions.