bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Peer-Led Navigation Approach as a Form of Task Shifting in Promoting Cervical Cancer Screening Knowledge, Intention, and Practices Among Urban Women in Tanzania: A Randomized Controlled Trial
Authors: Mboineki Joanes Faustine , Wang Panpan , Dhakal Kamala , Getu Mikiyas Amare , Chen Changying 
Published: June 2022

Background Even though the government’s priorities in preventing cervical cancer are implemented in urban areas, the screening rate remains unsatisfactory at 6%, compared to 70% recommended by the world health organization. The ongoing public health education has not resulted in sufficient screening rates. The study aims to assess peer-led navigation (PLNav) in promoting cervical cancer screening knowledge, intention, and practices among urban women in Tanzania. Since PLNav is the form of task shifting, it involves delegating cervical-cancer-related tasks from healthcare professionals to community health workers (CHWs). Methods It is a community-based randomized controlled trial conducted in Dar es Salaam in Tanzania March-Sept 2020. The PLNav involved the CHWs delivering health education, counselling and navigation assistance to community women (COMW). The CHWs help women who have never undergone cervical cancer screening (CCS) and those who have undergone CCS but with a precancerous cervical lesion to overcome screening barriers. The data related to PLNav were analyzed by descriptive statistics, an independent-samples t-test, repeated measures ANOVA and linear regression. Results The repeated measures ANOVA across time showed that PLNav intervention on mean knowledge score changes was statistically significant in the intervention group compared with the control group’s usual care, [F (1, 43) = 56.9, P < .001]. At the six-month follow-up, 32 (72.7%) out of 44 participants from the intervention group had screened for cervical cancer, and only one participant (2.3%) from the control group screened. The PLNav intervention on CCS uptake changes was statistically significant in the intervention group compared with usual care in the control group [F (1, 43) = 100.4, P < .001]. The effect of time on CCS uptake in the intervention and control groups was statistically significant [F (1.64, 70.62) = 73.4, P < .001]. Conclusion Peer-led navigation (PLNav) was effective in promoting cervical cancer screening knowledge, intention, and uptake.
Dentistry where there is no Dentist: A retrospective analysis of urgent dental care reported through the British Antarctic Survey Medical Unit (BASMU), 2015 – 2020
Authors: McColl Ewen , Witton Robert , Lommerse Tanya , Warner Matt 
Published: June 2022

Aim: To evaluate the nature of dental related morbidity in British Antarctic Survey (BAS) deployed personnel, and to compare the findings to those in other deployed population groups. Additional aims include outlining the evidence-based approach to further developing a training programme for non-dentists, to manage dental emergencies. Methods: A retrospective analysis of dental morbidity between 2015 – 2020 reported through the British Antarctic Survey Medical Unit (BASMU) database of dental reported morbidity recorded by deployed medical officers. Results: Analysis and comparison of dental morbidity in deployed personnel to austere environments revealed similarity, in that relatively minor conditions led to the most significant number of presentations for personnel seeking dental advice when deployed. Conclusions: Dental morbidity for deployed personnel in austere conditions can present with a range of symptoms from relatively minor to severe. Use of best evidence to configure training packages to likely presentations, may limit likelihood of necessitating evacuation from remote locations, or limit morbidity when evacuation is not feasible.
Health and Wellbeing of Clinical Dental Care Professionals: A Systematic Review
Authors: Kaki Layan , KC Sukriti , Gallagher Jennifer E. 
Published: June 2022

Background: There has been much research relating to stressors in the dental environment and concerns over dentists’ health and wellbeing. The determinants of dentists’ health and wellbeing within the UK include macro-factors, such as healthcare systems and regulation; meso-factors, such as job specification and workplace characteristics; and micro-factors, such as personal aspects, professional career level, and personal and professional relationships. Given the challenges in dentistry, research is needed to investigate the key determinants relating to the health and wellbeing of clinical dental care professionals (DCPs) nationally. Aim: To review the literature on the key determinants of health and wellbeing among dental hygienists, dental therapists, clinical dental technicians, and orthodontic therapists in the UK. Materials and methods: A systematic review of the literature was conducted across seven databases. The records were screened by title, abstract and full text based on the study inclusion criteria. Extraction of data and a qualitative synthesis of the included studies was performed. A mixed methods appraisal tool was used to quality assess for risk of bias. Results: Twelve studies were included in this review, eleven of which were medium to high quality (5*, 4*) and one low quality (2*). Ten studies focused on dental therapists, and/or hygienists, with only one each on orthodontic therapists and clinical dental technicians. Job satisfaction and professional careers were the primary factors explored in the included studies and clearly identified as determinants of health and wellbeing. However, there was evidence of these being associated and linked with a range of determinants at macro-, meso-, and micro-levels, with a general lack of evidence on the overall health and wellbeing. Conclusion: There is currently very limited evidence on the key determinants of health and wellbeing of clinical DCPs within the UK, but the available evidence maps to the same domains as dentists. Further well conducted research examining the overall health and wellbeing is required, with consideration of the full matrix of possible factors.
How Consumers Choose the Green Electricity Product Instead of Conventional Electricity? A Welfare Analysis Approach
Authors: Hadhri Walid , Abderrazak Chema 
Published: June 2022

The aim of this article is to analyze theoretically whether changes in an access charge pricing policy can promote green electricity use. The model considers two hypothetical firms: One firm offers green electricity product, and the other firm provides conventional electricity. Each firm pays an access charge to the natural monopoly in order to have access to the transportation network. Through using a vertical differentiation model, we try to analyze the link between the access charges paid by the two firms and the qualities offered. We also attempt to explain why the consumers do not often choose green electricity. Finally, we suggest a new policy that can lead the consumers to choose the green electricity product instead of conventional electricity. Our model shows that changes in the access charge pricing policies can constitute a relevant component in the reforms of the electricity sector and can have impacts on the consumption of the green electricity. A differentiating access charge policy could allow a better penetration of the green electricity product and an increase in the social welfare when consumers have greater preferences in environmental qualities. Otherwise, their preservation at a uniform level is desirable in order to maintain the competition. JEL Classifications: B21, C72, L13, Q21, P28
Effect of skin phototype on quantitative nailfold capillaroscopy
Authors: Bairwa Devender , Kavadichanda Chengappa G , Dunga Saikumar , Mathew Anoop , G Aishwarya , M S Gayathri , Mamatha Gorijavolu , Thabah Molly Mary , Negi Vir Singh 
Published: June 2022

Objectives: To determine the impact of Fitzpatrick scale-based skin phototype on visualization of capillary density using nailfold capillaroscopy in healthy Indian adults. Methods: In this cross-sectional study, healthy adults were examined for nailfold capillaroscopy findings utilizing a portable capillary microscope at 800× magnification. Photographs of two contiguous areas measuring 1 mm2 each of the distal row of capillaries were captured. Images were captured from the central area of all fingers except thumb in both hands. Capillary density and morphology of nailfold capillaroscopies were assessed by two blinded assessors. The nailfold capillaroscopy parameters were compared between the Standard Fitzpatrick scale-based skin phototypes. Results: A total of 118 healthy adults were enrolled in the study. Type III, IV, V, and VI skin phototypes were seen in 27 (22.90%), 32 (27.19%), 29 (24.58%), and 30 (25.42%) participants, respectively. All participants (100%) had normal nailfold capillaroscopy morphology and architecture. Zero capillaries were visible in 11 fingers among 5 patients (4.24%) and all of them had Type VI phototype. The median capillary density per mm was 5.19 (interquartile range = 4.37–6.75) with 90 (76.27%) participants having less than seven capillaries. The median average capillary density was significantly different ( p-value < 0.0001) across Type III (8.13, interquartile range = 6.44–8.88), Type IV (5.67, interquartile range = 4.41–6.98), Type V (4.94, interquartile range = 4.19–5.38), and Type VI (4.53, interquartile range = 3.72–4.91) phototypes ( p < 0.05). Conclusion: The number of capillaries visualized during nailfold capillaroscopy decreases as the skin pigmentation increases. There is a need to redefine the nailfold capillaroscopy density and avascularity by taking skin phototype as one of the determinants before labeling a nailfold capillaroscopy finding with less visualized capillaries as abnormal.
Role of allogeneic transplantation in chronic myelomonocytic leukemia: an international collaborative analysis
Authors: Robin Marie , de Wreede Liesbeth C. , Padron Eric , Bakunina Katerina , Fenaux Pierre , Koster Linda , Nazha Aziz , Beelen Dietrich W. , Rampal Raajit K. , Sockel Katja , Komrokji Rami S. , Gagelmann Nico , Eikema Dirk-Jan , Radujkovic Aleksandar , Finke Jürgen , Potter Victoria , Killick Sally B. , Legrand Faezeh , Solary Eric , Broom Angus , Garcia-Manero Guillermo , Rizzoli Vittorio , Hayden Patrick , Patnaik Mrinal M. , Onida Francesco , Yakoub-Agha Ibrahim , Itzykson Raphael 
Published: June 2022

Abstract
To determine the survival benefit of allogeneic hematopoietic cell transplantation (allo-HCT) in chronic myelomonocytic leukemias (CMML), we assembled a retrospective cohort of CMML patients 18-70 years old diagnosed between 2000 and 2014 from an international CMML dataset (n = 730) and the EBMT registry (n = 384). The prognostic impact of allo-HCT was analyzed through univariable and multivariable time-dependent models and with a multistate model, accounting for age, sex, CMML prognostic scoring system (low or intermediate-1 grouped as lower-risk, intermediate-2 or high as higher-risk) at diagnosis, and AML transformation. In univariable analysis, lower-risk CMMLs had a 5-year overall survival (OS) of 20% with allo-HCT vs 42% without allo-HCT (P &lt; .001). In higher-risk patients, 5-year OS was 27% with allo-HCT vs 15% without allo-HCT (P = .13). With multistate models, performing allo-HCT before AML transformation reduced OS in patients with lower-risk CMML, and a survival benefit was predicted for men with higher-risk CMML. In a multivariable analysis of lower-risk patients, performing allo-HCT before transformation to AML significantly increased the risk of death within 2 years of transplantation (hazard ratio [HR], 3.19; P &lt; .001), with no significant change in long-term survival beyond this time point (HR, 0.98; P = .92). In higher-risk patients, allo-HCT significantly increased the risk of death in the first 2 years after transplant (HR 1.46; P = .01) but not beyond (HR, 0.60; P = .09). Performing allo-HCT before AML transformation decreases life expectancy in lower-risk patients but may be considered in higher-risk patients.
PUM1 mediates the posttranscriptional regulation of human fetal hemoglobin
Authors: Elagooz Reem , Dhara Anita R. , Gott Rose M. , Adams Sarah E. , White Rachael A. , Ghosh Arnab , Ganguly Shinjini , Man Yuncheng , Owusu-Ansah Amma , Mian Omar Y. , Gurkan Umut A. , Komar Anton A. , Ramamoorthy Mahesh , Gnanapragasam Merlin Nithya 
Published: June 2022

Abstract
The fetal-to-adult hemoglobin switching at about the time of birth involves a shift in expression from γ-globin to β-globin in erythroid cells. Effective re-expression of fetal γ-globin can ameliorate sickle cell anemia and β-thalassemia. Despite the physiological and clinical relevance of this switch, its posttranscriptional regulation is poorly understood. Here, we identify Pumilo 1 (PUM1), an RNA-binding protein with no previously reported functions in erythropoiesis, as a direct posttranscriptional regulator of β-globin switching. PUM1, whose expression is regulated by the erythroid master transcription factor erythroid Krüppel-like factor (EKLF/KLF1), peaks during erythroid differentiation, binds γ-globin messenger RNA (mRNA), and reduces γ-globin (HBG1) mRNA stability and translational efficiency, which culminates in reduced γ-globin protein levels. Knockdown of PUM1 leads to a robust increase in fetal hemoglobin (∼22% HbF) without affecting β-globin levels in human erythroid cells. Importantly, targeting PUM1 does not limit the progression of erythropoiesis, which provides a potentially safe and effective treatment strategy for sickle cell anemia and β-thalassemia. In support of this idea, we report elevated levels of HbF in the absence of anemia in an individual with a novel heterozygous PUM1 mutation in the RNA-binding domain (p.(His1090Profs∗16); c.3267_3270delTCAC), which suggests that PUM1-mediated posttranscriptional regulation is a critical player during human hemoglobin switching.
NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects
Authors: Dubos Tristan , Poulet Axel , Thomson Geoffrey , Péry Emilie , Chausse Frédéric , Tatout Christophe , Desset Sophie , van Wolfswinkel Josien C. , Jacob Yannick 
Published: June 2022

Abstract
Background
The three-dimensional nuclear arrangement of chromatin impacts many cellular processes operating at the DNA level in animal and plant systems. Chromatin organization is a dynamic process that can be affected by biotic and abiotic stresses. Three-dimensional imaging technology allows to follow these dynamic changes, but only a few semi-automated processing methods currently exist for quantitative analysis of the 3D chromatin organization.

Results
We present an automated method, Nuclear Object DetectionJ (NODeJ), developed as an imageJ plugin. This program segments and analyzes high intensity domains in nuclei from 3D images. NODeJ performs a Laplacian convolution on the mask of a nucleus to enhance the contrast of intra-nuclear objects and allow their detection. We reanalyzed public datasets and determined that NODeJ is able to accurately identify heterochromatin domains from a diverse set of Arabidopsis thaliana nuclei stained with DAPI or Hoechst. NODeJ is also able to detect signals in nuclei from DNA FISH experiments, allowing for the analysis of specific targets of interest.

Conclusion and availability
NODeJ allows for efficient automated analysis of subnuclear structures by avoiding the semi-automated steps, resulting in reduced processing time and analytical bias. NODeJ is written in Java and provided as an ImageJ plugin with a command line option to perform more high-throughput analyses. NODeJ can be downloaded from https://gitlab.com/axpoulet/image2danalysis/-/releases with source code, documentation and further information avaliable at https://gitlab.com/axpoulet/image2danalysis. The images used in this study are publicly available at https://www.brookes.ac.uk/indepth/images/ and https://doi.org/10.15454/1HSOIE.
MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores
Authors: Girgis Hani Z. 
Published: June 2022

Abstract
Background
Tools for accurately clustering biological sequences are among the most important tools in computational biology. Two pioneering tools for clustering sequences are CD-HIT and UCLUST, both of which are fast and consume reasonable amounts of memory; however, there is a big room for improvement in terms of cluster quality. Motivated by this opportunity for improving cluster quality, we applied the mean shift algorithm in MeShClust v1.0. The mean shift algorithm is an instance of unsupervised learning. Its strong theoretical foundation guarantees the convergence to the true cluster centers. Our implementation of the mean shift algorithm in MeShClust v1.0 was a step forward. In this work, we scale up the algorithm by adapting an out-of-core strategy while utilizing alignment-free identity scores in a new tool: MeShClust v3.0.

Results
We evaluated CD-HIT, MeShClust v1.0, MeShClust v3.0, and UCLUST on 22 synthetic sets and five real sets. These data sets were designed or selected for testing the tools in terms of scalability and different similarity levels among sequences comprising clusters. On the synthetic data sets, MeShClust v3.0 outperformed the related tools on all sets in terms of cluster quality. On two real data sets obtained from human microbiome and maize transposons, MeShClust v3.0 outperformed the related tools by wide margins, achieving 55%–300% improvement in cluster quality. On another set that includes degenerate viral sequences, MeShClust v3.0 came third. On two bacterial sets, MeShClust v3.0 was the only applicable tool because of the long sequences in these sets. MeShClust v3.0 requires more time and memory than the related tools; almost all personal computers at the time of this writing can accommodate such requirements. MeShClust v3.0 can estimate an important parameter that controls cluster membership with high accuracy.

Conclusions
These results demonstrate the high quality of clusters produced by MeShClust v3.0 and its ability to apply the mean shift algorithm to large data sets and long sequences. Because clustering tools are utilized in many studies, providing high-quality clusters will help with deriving accurate biological knowledge.
Parents’ satisfaction of tele-rehabilitation for children with neurodevelopmental disabilities during the COVID-19 pandemic
Authors: Frigerio Pamela , Del Monte Liliana , Sotgiu Aurora , De Giacomo Costantino , Vignoli Aglaia 
Published: June 2022

AbstractBackgroundThe use of tele-rehabilitation in children was limited before the COVID-19 pandemic, due to culture, technology access, regulatory and reimbursement barriers.MethodsThe study was conducted according to the CHERRIES (Checklist for reporting results of internet E-surveys) guidelines in order to provide quantitative and qualitative data about experience of patients with disabilities and their caregivers during Phase 1 of the COVID-19 pandemic, and their level of satisfaction. An online survey was developed using Google Forms and sent via email. The outcome measures were rated using a 5-point Likert Scale. Two additional open-ended questions were used to collect qualitative data.ResultsOne hundred twenty-eight out of 261 families responded to the survey: 80.5% of the caregivers reported they were satisfied with the tele-rehabilitation. More than a half (53%) of the families reported a high level of satisfaction with the involvement they received in defining and sharing of rehabilitation goals.ConclusionsThe implementation of telehealth during the COVID-19 lockdown has allowed us to gain more information about the potential of tele-rehabilitation, and resulted in an excellent satisfaction of caregivers. With appropriate education and consistent models of care, an increased use of telehealth may provide advances in remote patient care.Trial registrationNot applicable.
DNL-Net: deformed non-local neural network for blood vessel segmentation
Authors: Ni Jiajia , Wu Jianhuang , Elazab Ahmed , Tong Jing , Chen Zhengming 
Published: June 2022

Abstract
Background
The non-local module has been primarily used in literature to capturing long-range dependencies. However, it suffers from prohibitive computational complexity and lacks the interactions among positions across the channels.

Methods
We present a deformed non-local neural network (DNL-Net) for medical image segmentation, which has two prominent components; deformed non-local module (DNL) and multi-scale feature fusion. The former optimizes the structure of the non-local block (NL), hence, reduces the problem of excessive computation and memory usage, significantly. The latter is derived from the attention mechanisms to fuse the features of different levels and improve the ability to exchange information across channels. In addition, we introduce a residual squeeze and excitation pyramid pooling (RSEP) module that is like spatial pyramid pooling to effectively resample the features at different scales and improve the network receptive field.

Results
The proposed method achieved 96.63% and 92.93% for Dice coefficient and mean intersection over union, respectively, on the intracranial blood vessel dataset. Also, DNL-Net attained 86.64%, 96.10%, and 98.37% for sensitivity, accuracy and area under receiver operation characteristic curve, respectively, on the DRIVE dataset.

Conclusions
The overall performance of DNL-Net outperforms other current state-of-the-art vessel segmentation methods, which indicates that the proposed network is more suitable for blood vessel segmentation, and is of great clinical significance.
Impact of video-led educational intervention on uptake of influenza vaccine among the elderly in western China: a community-based randomized controlled trial
Authors: Jiang Minghuan , Yao Xuelin , Li Pengchao , Fang Yu , Feng Liuxin , Hayat Khezar , Shi Xinke , Gong Yilin , Peng Jin , Atif Naveel 
Published: June 2022

Abstract
Background
Influenza vaccination coverage rate among the elderly is low in China. We aimed to evaluate the impact of video-led educational intervention on influenza vaccine uptake among the Chinese elderly.

Methods
A randomized controlled trial was conducted in 8 communities of Xi’an, a representative city in western China. Elderly aged over 60 years were randomized to the control group and intervention group (12-minute video education on influenza and its vaccination). Participants’ knowledge, attitudes, and practices (KAP) of influenza was assessed by using a questionnaire survey before and after the intervention. The primary outcomes were participants’ willingness to get influenza vaccinated and their actual uptake rates in the 2020-21 flu season. Secondary outcomes were the variations of pre- and post-intervention KAP scores. Intention-to-treat analysis was performed to analyze the data, and sensitivity analyses were conducted to examine the robustness of the results.

Results
A total of 350 people were enrolled, with 175 individuals for each group. Participants in the intervention group were more willing to receive influenza vaccination than those in the control group (64.6% vs. 51.4%, p<0.05). The influenza vaccination uptake rate occurred in 10.3% of participants in the intervention group and 3.4% in the control group (odds ratio, 3.23; 95% CI 1.25-8.32, p<0.001). The post-intervention KAP scores in the intervention group were significantly higher compared to those in the control group (p<0.001).

Conclusion
Video-led education was an effective and feasible approach to improve old people’s willingness and uptake of influenza vaccination in western China.