bluuebunny/crossref_metadata_2025_split huggingface dataset:
Erianin inhibits the growth of uveal melanoma cells by regulating VEGF secretion
Authors: SUN HAO , LI JIAO , ZHANG XI , LI NA , GUO BIN , WANG XING-RONG 
Published: February 2023

Abstract
Objective: To investigate the effect of erianin on uveal melanoma cells and its underlying mechanism. Erianin is a broad-spectrum antitumor compound, and whether it is effective in uveal melanoma cells is unclear.
Methods: B16F10 cells (murine melanoma cells) were divided into 4 experimental groups and 1 control group. The control group was not treated with drugs, and the experimental groups were treated with 3.125 μmol·L-1, 6.25 μmol·L-1, 12.5 μmol·L-1, and 25 μmol·L-1 erianin. A real-time cell electronic analysis system (RT-CES) and CCK-8 assay were used to investigate the effects of different doses of erianin on the growth of uveal melanoma cells. The VEGF-A mRNA expression in uveal melanoma cells was detected by RT‒PCR. ELISAs were used to study the effect of erianin on VEGF-A secretion in uveal melanoma cells. Flow cytometry was used to investigate the effect of erianin on the cell cycle and apoptosis of uveal melanoma cells and its possible mechanism.
Results: Uveal melanoma cells in the experimental group (3.125 μmol·L-1, 6.25 μmol·L-1, 12.5 μmol·L-1, and 25 μmol·L-1) were treated with erianin for 24 h, and the cell survival rate decreased to 93.93 ± 0.26%, 89.46 ± 2.50%, 64.30 ± 2.45% and 35.06 ± 1.40%, respectively. Erianin downregulated VEGF-A mRNA expression in cells and inhibited the level of VEGF-A in uveal melanoma cells, and the experimental group (25 μmol·L-1) had the most obvious inhibitory effect. In addition, compared with those of the control group, the apoptosis rates of the experimental groups (3.125 μmol·L-1, 6.25 μmol·L-1, 12.5 μmol·L-1, and 25 μmol·L-1) increased from 0% to 7.29%, 8.25%, 10.04%, and 35.67%, respectively, after 24 h of erianin intervention. The proportion of cells in G1 phase increased from 38.31% to 39.40%, 41.45%, 49.03%, and 59.24%, and the differences were statistically significant (P<0.05).
Conclusions: Erianin has a significant inhibitory effect on uveal melanoma cells, and its mechanism is to inhibit the level of VEGF and induce apoptosis and S-phase arrest of cells in a concentration-dependent manner.
Identification of the prognostic factors of patients with diabetic foot ulcer treated with tibial cortex transverse transport surgery
Authors: Yang Sijie , Pan Kaixiang , Qin Wencong , Su Hongjie , Hou Jun , Liu Kaibing , Hua Qikai , Zhao Jinming 
Published: February 2023

Abstract
Objectives: The aim of this study was to establish a clinical prediction model to predict the prognosis of diabetic foot ulcer (DFU) patients treated with tibial cortex transverse transport surgery (TTT).
Methods: This was a single-center, retrospective study. The clinical data and inspection results were collected by following up on DFU patients hospitalized at the First Affiliated Hospital of Guangxi Medical University and treated with TTT surgery. 202 patients’ clinical data were collected finally and they were divided into two groups according to Wagner’s grading classification. The indicators related to the severity of DFU and with the time of wound healing after surgery were confirmed through logistic regression and Lasso regression analysis. In addition, a clinical prediction model was established. Finally, the intersection of the two sets of indicators yielded the indicators related to wound severity and the postoperative healing time.
Results: 202 patients were separated into Wagner 2/3 group(n=135,mean age 62.40±9.68 years) and Wagner 4 group(n=67, mean age 61.12±9.07 years).After the student’s t-test, Lasso regression, and Logistic regression analysis, three factors were identified to describe the severity of the DFU between the two groups: platelet-to-lymphocyte ratio (PLR) (OR: 0.992, 95% CI: 0.987-0.998), monocyte-to-neutrophil ratio (MNR) (OR: 0.000, 95% CI: 0.000-0.050), Hemoglobin (HGB) (OR: 0.965, 95% CI: 0.938-0.992). Univariate COX regression analysis determined 12 factors (PLR, MNR, ect) related to the healing time after the operation.
Conclusions: PLR and MNR were factors related to DFU severity and prognosis after TTT surgery.
Exploring Health Information System Resilience During COVID-19 Pandemic: Case Studies from Norway, Sri Lanka &amp; Rwanda
Authors: Amarakoon Pamod Madusanka , Gundersen Ragnhild Bassøe , Muhire Andrew , Utvik Vetle Alvenes , Braa Jørn 
Published: February 2023

Abstract
The study aims at exploring health system resilience by defining the scope on health information systems, one of the six building blocks of the health system. The empirical evidence is derived using qualitative data collection and analysis in the context of Norway, Sri Lanka and Rwanda during the COVID-19 pandemic. The case studies elicit bounce back and bounce forward properties as well as the agility as major attributes of resilience present across the countries. Existing local capacity, networking and collaborations, flexible digital platforms and enabling antecedent conditions are identified as socio-technical determinants of information system resilience based on the case studies across the countries.
Evidence for the formation of fused aromatic ring structures in an organic soil profile in the early diagenesis
Authors: Gamage Jeewan , Longstaffe James , Gillespie Adam , Lo Andy , Voroney Paul 
Published: February 2023

Abstract
The presence of fused aromatic ring (FAR) structures in soil define the stability of the recalcitrant soil organic matter (RSOM). FAR are important skeletal features in RSOM that contribute to its extended residence time. During the early diagenesis, FAR are formed through condensation and polymerization of biomolecules produced during plant residue and microbial product decay. Molecular level characterization of the RSOM extracted from an organic soil profile gives important insights into the formation of FAR. Advanced solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, including recoupled long-range C−H dipolar dephasing experiments on extracted humic acids (HA) showed that they contain diagenetically formed FAR different from charcoal and lignin. Peaks characteristic of FAR are observed at all depths in the soil profile, with a greater prevalence observed in the HA extracts from the clay soil layer at the bottom. In the clay soil layer, 78% of the aromatic carbon was non-protonated, and this was 2.2-fold higher than the topsoil. These data further strengthen our understanding of the humification process that could occur in early diagenesis and help explain the importance of incorporating diagenesis as an important phenomenon for long-term carbon sequestration in soil.
Raman Spectroscopy and Topological MachineLearning for Cancer Grading
Authors: Conti Francesco , Mario D'Acunto , Caudai Claudia , Colantonio Sara , Gaeta Raffaele , Moroni Davide , Pascali Maria Antonietta 
Published: February 2023

Abstract
In the last decade, Raman Spectroscopy is establishing itself as a highly promising technique for the classification of tumour tissues as it allows to obtain the biochemical maps of the tissues under investigation, making it possible to observe changes among different tissues in terms of biochemical constituents (proteins, lipid structures, DNA, vitamins, and so on).In this paper, we aim to show that techniques emerging from the cross-fertilization of persistent homology and machine learning can support the classification of Raman spectra extracted from cancerous tissues for tumour grading. In more detail, topological features of Raman spectra and machine learning classifiers are trained in combination as an automatic classification pipeline in order to select the best-performing pair. The case study is the grading of chondrosarcoma in four classes: cross and leave-one-out validations have been used to assess the classification accuracy of the method. Also, the best classification models are tested on new data, showing excellent accuracy, even compared with existing literature. The added value of such results is that the model for the prediction of the chondrosarcoma grading could easily be implemented in clinical practice, possibly integrated into the acquisition system.
A Mixed-Method study exploring barriers and facilitators to midwives’ mental health in Ontario
Authors: Darling Elizabeth K. , Grenier Lindsay N. , MacKenzie Rachel K. , Ramlogan-Salanga Claire , Cates Elizabeth C. , Graybrook Riley , Wilson-Mitchell Karline 
Published: February 2023

Abstract

Background:There is a paucity of information regarding the mental health of midwives working in Ontario, Canada. Many studies have investigated midwives’ mental health around the world, but little is known about how the model of midwifery care in Ontario contributes to or negatively impacts midwives’ mental health. The aim of the study was to gain a deeper understanding of factors that contribute to and negatively impact Ontario midwives’ mental health.Methods:We employed a mixed-methods, sequential, exploratory design, which utilized focus groups and individual interviews, followed by an online survey. All midwives in Ontario who had actively practiced within the previous 15 months were eligible to participate.Findings:We conducted 6 focus groups and 3 individual interviews, with 24 midwives, and 275 midwives subsequently completed the online survey. We identified four broad factors that impacted midwives’ mental health: 1) the nature of midwifery work, 2) the remuneration model, 3) the culture of the profession, and 4) external factors.Discussion:Based on our findings and the existing literature, we have five broad recommendations for improving Ontario midwives’ mental health: 1) provide a variety of work options for midwives; 2) address the impacts of trauma on midwives; 3) make mental health services tailored for midwives accessible; 4) support healthy midwife-to-midwife relationships; and 5) support improved respect and understanding of midwifery.Conclusion: As one of the first comprehensive investigations into midwives’ mental health in Ontario, this study highlights factors that contribute negatively to midwives’ mental health and offers recommendations for how midwives’ mental health can be improved systemically.
Combining whole-exome sequencing with clinical data for genotype–phenotype correlation in patients with congenital hypothyroidism that include the DUOX2 gene variation
Authors: Liu Shuang , Wang Ying , Zheng Qin , Tang Xinxin , Cui Dandan , Men Shuai , Yu Bin , Long Wei , Wang Leilei 
Published: February 2023

Abstract
Background: Clinical expression of DUOX2 gene variants is differential in patients with congenital hypothyroidism (CH). We investigated whether the molecular etiology of DUOX2 gene variants in CH patients can predict disease outcome, drug dosage, and follow-up period. Potential pathogenic variants were detected in 98 CH patients using whole-exome sequencing. Differences in diagnostic indicators and sustained Levothyroxine (L-T4)therapeutic dose between biallelic and monoallelic groups were compared.
Results: The variant detection rate was 77.55%, and 149 variants were identified across 9 genes. Variants in the DUOX2 gene were of 50 types and showed the highest detection rate, with a frequency of 74.50% (111/149). Variants of interest were p.R1110Q (17.12%, 19/111) and p.K530* (16.22%, 18/111), where the former had a higher incidence of permanent hypothyroidism (PCH; 75%, 9/12). Patients with variants in the ferric oxidoreductase domain are more likely to develop PCH. Heel blood thyroid stimulating hormone (TSH) levels in the monoallelic group (176.50 [111.68, 272.50] mIU/L) were higher than those of the biallelic group (57.50 [15.30, 112.25] mIU/L; P = 0.001). The L-T4 doses of the monoallelic group at 1 and 3 years of age (36.83 ± 8.23 and 39.18 ± 15.71 µg/day, respectively) were significantly higher than those in the biallelic group (25.87 ± 9.05 and 25.38 ± 9.30 µg/day; P = 0.008 and P = 0.030, respectively).
Conclusions: Patients with the p.R1110Q variant are more likely to develop PCH. Relatively high heel blood TSH levels in patients with normal-sized in situ glands harboring monoallelic DUOX2 variant evidenced increased doses and follow-up frequency during treatment.
Potential injury mechanisms in ulnar collateral ligament injuries; magnitude and variability of elbow load in repetitive baseball pitching
Authors: Trigt Bart van , Hogerwou Thomas van , Leenen Antonius , Hoozemans Marco , Helm Frans van der , Veeger DirkJan 
Published: February 2023

AbstractA common overuse injury in baseball pitching is the Ulnar Collateral Ligament (UCL) injury, due to high and repetitive loading of the medial side of the elbow. This repetitive loading (i.e. external valgus torque), caused by pitching a high number of balls in a practice session or during a game, is resisted by the UCL and counteracted by the elbow muscles. The elbow muscles have the potential to shield the UCL from the full external load and were active in all fifteen participants during pitching. To understand the injury mechanisms, we investigated the effect of repetitive pitching on the elbow load magnitude and variability. In addition, we explored whether repetitive pitching affects elbow muscle activation during pitching. On a group level, the linear mixed models showed no significant associations of repetitive pitching with valgus torque magnitude and variability and elbow muscle activity. Significant large differences exist between pitchers in their individual courses in elbow valgus torque and muscle activity with repetitive pitching. This shows the importance of individuality in relation to repetitive pitching. To arrive at effective elbow injury prevention in baseball pitching, individual characteristics of changes in elbow load and muscle activity in relation to the development of UCL injuries should be investigated.
Revealing eRNA interactions: TF dependency and convergent cooperativity
Authors: Lee Seungha Alisa , Kristjánsdóttir Katla , Kwak Hojoong 
Published: February 2023

Abstract
Enhancer RNAs (eRNAs) are non-coding RNAs produced from transcriptional enhancers that are highly correlated with their activities. Using capped nascent RNA sequencing (PRO-cap) dataset in human lymphoblastoid cell lines across individuals, we identified inter-individual variation of expression in over 80 thousand transcribed transcriptional regulatory elements (tTREs), in both enhancers and promoters. Co-expression analysis of eRNAs from tTREs across individuals revealed how enhancers interact with each other and with promoters. Mid-to-long range interactions showed distance-dependent decay, which was modified by TF occupancy. In particular, we found a class of ‘bivalent’ TFs, including Cohesin, which both facilitates and insulates the interaction between enhancers and/or promoters depending on the topology. In short ranges, we observed strand specific interactions between nearby eRNAs in both convergent or divergent orientations. Our finding supports a cooperative convergent eRNA model, which is compatible with eRNA remodeling neighboring enhancers rather than interfering with each other. Therefore, our approach to infer functional interactions from co-expression analyses provided novel insights into the principles of enhancer interactions depending on the distance, orientation, and the binding landscapes of TFs.
Supporting Learners in Prison Healthcare Work-Integrated Learning Settings Through Simulation: A Cross-Sectional Study
Authors: Needham Judith , Beggs Rhonda , de Mortel Thea van 
Published: February 2023

Abstract
Background
Nursing students and nurse preceptors indicate that a comprehensive orientation is vital to successful work-integrated learning placements in Prison Health Services. The aim of this study was to implement and evaluate a Prison Health Service orientation package that included innovative asynchronous online video simulations with branched decision-making and feedback opportunities to stimulate learning and improve students’ feelings of preparedness for a placement in this setting.
Methods
A cross-sectional pre and post design was used to evaluate the resource. Students were given access to the package and invited to complete a pre-placement survey evaluating the resource and their feelings of preparedness for placement. Following placement, they re-evaluated the resource in terms of how well it prepared them for the placement and how well prepared they felt. Third year Australian undergraduate nursing students from one university who completed a Prison Health Service work-integrated learning placement in 2018, 2021, and 2022 were invited to participate. Placements were unavailable in 2019 and 2020. Independent t-tests were used to determine differences in scale means and level of preparedness between pre- and post-survey responses.
Results
Twenty-three of 40 (57.5%) eligible nursing students completed the pre-placement survey and 13 (32.5%) completed the post placement survey. All respondents to the pre-placement survey indicated that they felt satisfactorily, well, or very well prepared after completing the orientation package prior to their clinical placement. Students were significantly more likely to consider themselves well prepared by the package after they had attended placement (p < .001). All students post placement indicated that overall, the simulation resources and the specific simulation scenario about personal boundaries and management of manipulative behaviours was useful for their placement. The majority of students would recommend the orientation package to other students. Suggestions for improvement included streamlining the resource to reduce the time to complete it.
Conclusions
Asynchronous online simulation with the capacity for branched decision making and feedback along with a comprehensive online orientation package were perceived as useful to prepare undergraduate students for placement in the Prison Health Service work-integrated learning setting.
Supernormal enrichment of cadmium in sphalerite via coupled hydrothermal dissolution-reprecipitation process
Authors: Duan Hongyu , Wang Changming , Hu Rong , Zhu Jiaxuan , Deng Jun 
Published: February 2023

Abstract
The supernormal enrichment of cadmium, as well as other critical elements are frequently observed in the sphalerite of sedimentary-hosted zinc deposits. However, the physico-chemical processes that are responsible for their mineralization is still poorly understood. Here we display a coupled dissolution-reprecipitation model that could explain the occurrence of cadmium from solid solutions up to several wt.%, sulfide nanoparticles, and independent mineral inclusions in sphalerite. The selective dissolution by oxidative acidic fluids causes depletion of zinc and concentration of cadmium in the lattice of primarily formed sphalerite, especially at interface of structural defects, such as low-angle tilt boundaries. Further dissolution triggers reprecipitation of cadmium-poor sphalerite nanocrystals as relics, followed by deposition of amorphous cadmium-rich sulfide nanoparticles as fillings in dissolution pores by reaction between cadmium ions and released reduced sulfur from sphalerite lattice. The cadmium is derived from both dissolution of primary Cd-rich sphalerite and re-supply by highly-evolved oxidative acidic fluid rich in cadmium. Growth and/or passivation of these amorphous nanoparticles finally forms greenockite blebs and/or nanocrystals in sphalerite. This model provides insights for critical-element redistribution and mineralization via hydrothermal processes. Similar mechanisms may also have broad implications in synthesis of sulfide nanomaterials used in green energy technologies.
Recommend What to Cache: a Simple Self-supervised Graph-based Recommendation Framework for Edge Caching Network
Authors: Sun Aijing , Wang Guoqing , Han Qi 
Published: February 2023

Abstract
The edge caching network based on deep learning can more accurately infer what to cache while driven by data from the user's historical content request, thus greatly relieving the burden of the backbone network. However, the inherent cold-start problem in deep learning may limit the performance of the history-based caching strategies. Due to the mobile and dynamic nature of the wireless network, the base station usually does not have enough data to accurately estimate the user's demand and cache the possible requested data. In this backdrop, we adopt self-supervised learning (SSL) into the caching strategy and propose a Simple Self-supervised Graph-based Recommendation framework for edge caching network (SimSGR). The SSL could alleviate the cold-start problem by generating extra training supervised signals from the raw data. To further optimize the performance of SSL, we propose two new network layers: Mixing and Conversion: the former replaces the data augmentation of the SSL paradigm to avoid destroying the semantic loss, while the latter greatly simplifies the loss function, which is helpful to light the model structure and facilitate deployment on edge caching network. Extensive experiments show that our model yields competitive or better performance than state-of-the-art methods sensitive to augmentation hyperparameters, especially when trained in the cold-start environment.
B cell convergence to distinct broadly reactive epitopes following
vaccination with chimeric influenza virus hemagglutinins
Authors: Guthmiller Jenna , Lan Linda Yu-Ling , Li Lei , Henry Carole , Stamper Christopher , Utset Henry , Freyn Alec , Han Julianna , Stovicek Olivia , Wang Jiaolong , Zheng Nai-Ying , Huang Min , Dugan Haley , Tepora Micah , Zhu Xueyong , Chen Yao-Qing , Palm Anna-Karin , Shaw Dustin , Loganathan Madhumanthi , Francis Benjamin , McNair Mia , Mead Philip , Wilson Ian , Garcia-Sastre Adolfo , Nachbagauer Raffael , Palese Peter , Ward Andrew , Coughlan Lynda , Krammer Florian , Wilson Patrick 
Published: February 2023

Abstract
In a phase I clinical trial, the chimeric hemagglutinin (cHA) immunogen induced antibody responses against the conserved HA stalk domain. However, the landscape of the B cell specificities and subsets induced by this vaccine remain undetermined. Here, we paired single cell RNA-sequencing and B cell receptor repertoire sequencing to analyze the relationship between transcriptome and B cell specificity following cHA immunization. We show that the cHA inactivated vaccine with a squalene-based adjuvant induced a robust activated B cell and memory B cell phenotype against two broadly neutralizing epitopes of the stalk domain. The overall specificities of the acute plasmablast and memory B cell responses were distinct, with the plasmablast compartment largely targeting non-neutralizing epitopes of the HA stalk. Altogether, these data indicate the B cell landscape following cHA vaccination includes diverse B cell subsets that are differentially induced by distinct vaccine formulations, including memory and de novo B cell responses against diverse broadly conserved epitopes.