bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using the Consolidated Framework for Implementation Research (CFIR) to Evaluate the Implementation of the International Dysphagia Diet Standardisation Initiative (IDDSI) and Provision of Texture Modified Diets (TMDs) in age-care Facilities: Barriers and Enablers to Implementation
Authors: Wu Xiaojing Sharon , Miles Anna , Braakhuis Andrea 
Published: May 2021

Abstract
BackgroundTexture modified diets (TMDs) are a common intervention for older adults with swallowing difficulties as they improve swallowing safety. The International Dysphagia Diet Standardization Initiative (IDDSI) provides a framework for terminology, definitions and testing of TMDs. This observational mixed methods study used the Consolidated Framework for Implementation Research (CFIR) to evaluate the effectiveness of IDDSI adoption in aged-care facilities (ACFs) and identify barriers and enablers to facilitate future implementation.MethodsFive New Zealand ACFs who had adopted IDDSI >12 months previously were recruited. Evaluation tools were developed based on CFIR constructs, integrating data from i) mealtime observations; ii) manager interviews and iii) staff (nursing, carers and kitchen) self-administrated surveys. ResultsAll facility and kitchen managers were IDDSI-aware and had access to online resources. Three sites had changed to commercially compliant products post-IDDSI adoption, which had cost implications. Awareness of IDDSI amongst staff ranged from 5-79% and <50% of staff surveyed felt sufficiently trained. Awareness was greater in large sites and where IDDSI was mandated by head office. Managers had not mandated auditing and they felt this had led to reduced perceived importance. Managers felt staff required more training and staff wanted more training, believing it would improve food safety and quality of care. Lack of a dedicated project lead and no speech pathologist onsite were perceived barriers. Collaboration between healthcare assistants, kitchen staff and allied health assisted implementation. ConclusionACF staff were aware of IDDSI but staff knowledge was low. Using the CFIR, site-specific and generic barriers and enablers were identified to improve future implementation effectiveness. Managers and staff want access to regular training. Multidisciplinary collaboration and improving communication are essential. ACFs should consider TMD auditing regularly. Successful implementation of IDDSI allows improvement of quality of care and patient safety but requires a systematic, site-specific implementation plan.
Association Between BMI and Risk of OSA in COPD Patients: a Multicenter Cross-sectional Study in China
Authors: Xiong Mengqing , Zhao Zhiling , Nie Qingrong , Shi Zhihong , Wu Bin , Yang Haizhen , Yue Fang , Song Yan , He Xin , Wang Mengmei , Hu Ke 
Published: May 2021

Abstract
Background: BMI increase risk for obstructive sleep apnea (OSA), while low BMI and overweight/obesity has paradoxical effect on chronic obstructive pulmonary disease (COPD) outcomes. We aimed to examine the association between BMI and OSA risk in COPD patients. Methods: A number of 1637 COPD subjects included in the final analysis. Logistic regression was performed to investigate the association between BMI or BMI category and OSA risk. Using restricted cubic splines to flexibly model a nonlinear relationship. Results: In this COPD cohort, BMI or BMI category was significantly associated with risk of OSA. Using BMI 18.5–23.9 kg/m2 (normal weight) as a reference group, the overweight group (BMI: 24–27.9 kg/m2) (OR 1.348, 95%CI 1.057-1.718) and the obese group (BMI≥28 kg/m2) (OR 2.596, 95%CI 1.825-3.692) had higher risk of OSA in the crude model; after the sex- and age- adjusted, the association remained significant, while in the fully adjusted model, the obese group still had 2.623 times higher risk and the overweight group had a trend of higher risk but the underweight group (BMI<18.5 kg/m2) also showed a trend of higher OSA risk than the normal weight group (p value 0.071).In restricted cubic spline model, BMI exhibited a J-shaped association with OSA, and the risk of OSA reached a nadir at BMIs in the range of 20-24 kg/m2, with a positive association above or below.Conclusions: BMI had a J-shaped association with OSA in this COPD patient cohort; lower or higher BMIs were associated with an increased risk of OSA.Trial registration: This study registered in ClinicalTrials.gov (Clinical Trials ID: NCT 03182309).
Metabolic Alteration of Gut Microbiota Is Associated With Host Non-alcoholic Fatty Liver Disease Induced by Pyrethroid in Xenopus Laevis
Authors: Li Meng , Liu Tingting , Zhu Jiaping , Wang Mengcen , wang qiangwei 
Published: May 2021

Abstract
Background: There is increasing awareness of the significance of the gut microbiome to host health, and a clear relationship has been established between the perturbed gut microbiome and multiple diseases. Cis-bifenthrin, a widely used agricultural pyrethroid insecticide, has been implicated as a cause of hepatotoxicity due to the oxidative stress produced during its metabolism by the liver. Studies have demonstrated the role of gut microbiota in gut-liver axis, it is possible that the perturbation of gut microbiota may also contribute to the toxicity of cis-bifenthrin on the liver.Results: 16S rRNA gene sequencing suggested that cis-bifenthrin exposure significantly perturbed the gut microbiota composition, and metabolomics analysis showed signature metabolic shifts arising from exposure. Moreover, we also found altered functional regulation of lipids in the liver after cis-bifenthrin exposure, and the accumulation of lipid droplets in hepatocytes was observed.Conclusions: Our results suggested cis-bifenthrin exposure disturbed the gut microbiota community and metabolite profile in frogs. Specifically, changes in bile acid metabolites altered bile acid hepatoenteral circulation, which affected lipid metabolism in the liver and ultimately caused the development of fatty liver disease. Our findings reveal novel insights into gut microbiota-host axis in frogs, and the perturbed microbial function provides novel mechanism contributing to cis-bifenthrin-induced toxicity.
The Relationship Between Social Support Perceived by Infertile Couples and Their Mental Status
Authors: AVŞAR Binnaz , EMUL Tuba GUNER 
Published: May 2021

Abstract
Background: Infertility is a difficult process that affects couples psychologically. Providing adequate social support is important in terms of reducing the psychological problems experienced by infertile couples by facilitating compliance with the treatment. Aim/ Objective: This study evaluated the relationship between the mental status of couples receiving infertility treatment and their perceived social support. Methods: The study was descriptive study consisted of 148 infertile couples who received infertility treatment at the InVitro Fertilisation Center between January and April 2018 in a university hospital in Antalya. 148 infertile couples who received infertility treatment at the data of the research were gathered through a questionnaire for determining socio-demographic and infertility related characteristics of the couples receiving infertility treatment, Multidimensional Scale of Perceived Social Support, Brief Symptom Inventory. Results: In the study, the average age of infertile women was 31.4±5.6 and that of men was 34.5±5.2. The mean Multidimensional Scale of Perceived Social Support score of the women was determined to be 62.6±14.2, whereas that of the men 59.2± 14.2. The mean score received by the women from depression subscale of Brief Symptom Inventory was determined to be 10.2±8.9, and the mean score received by the men 6.7±6.6. A strong negative relationship between the total Multidimensional Scale of Perceived Social Supportscore and the Brief Symptom Inventory subscale mean scores (p<0.01). Conclusions: As a result of the research, as the social support levels perceived by couples receiving infertility treatment increased, their symptoms of anxiety, depression, negative self-perception, somatization, and hostility was determined to decrease.
Adverse Events following Intramedullary Nailing in Metastatic Pathological versus Non-Pathological Femoral Shaft Fractures: A Retrospective Comparative Study
Authors: Anusitviwat Chirathit , Iamthanaporn Khanin , Tuntarattanapong Pakjai , Tangtrakulwanich Boonsin , Liabsuetrakul Tippawan 
Published: May 2021

Abstract
Background: Antegrade intramedullary nailing is indicated for treating metastatic pathological femoral shaft fractures. Although good functional outcomes could be obtained from internal fixation, postoperative adverse events have been reported in patients with pathological fractures and non-pathological fractures. Not only adverse events but also their consequences including, readmission and reoperation, need to be considered. Few studies have assessed the risk of postoperative adverse events, reoperation, and readmission without comparison. Therefore, this study aimed to compare the risk of in-hospital adverse events and consequences after discharge between patients with metastatic pathological and non-pathological femoral fractures undergoing intramedullary nailing.Methods: We conducted a retrospective study by extracting records from the Hospital Information System database. We accessed patients with pathological metastatic pathological and non-pathological femoral shaft fractures undergoing intramedullary nailing by the International Classification of Diseases code; from June 2006 to 2020. We then tracked the in-hospital medical and surgical adverse events postoperatively, along with the consequences after discharge. The in-hospital adverse events risk between the two groups of patients were analyzed and compared by multivariate logistic regression analysis.Results: Included patients consisted of 48 in pathological groups and 185 in non-pathological groups. Significantly higher rates of surgical and medical adverse events in patients with pathological fractures compared to patients with non-pathological fractures were observed. After adjusting for potential confounding factors in multivariate regression analysis, patients with pathological fractures had higher odds of both adverse surgical (adjusted OR 2.43, 95% CI 1.15 - 5.13) and medical adverse events (adjusted OR 2.81, 95% CI 1.13 - 7.03).Conclusions: Patients with metastatic pathological femoral shaft fractures undergoing intramedullary nailing were more likely to experience postoperative adverse events than patients with non-pathological fractures.
Next Generation Sequencing, Isolation and Characterization of 14 Microsatellite Loci of Canthon Cyanellus (Coleoptera: Scarabaeidae)
Authors: Arce-Valdés Luis R. , Sánchez-Guillén Rosa Ana , Nolasco-Soto Janet , Favila Mario E. 
Published: May 2021

Abstract
BackgroundWe used Illumina paired-end-sequencing to isolate and characterize microsatellites of Canthon cyanellus, a Neotropical roller dung beetle encompassing several lineages within its distribution range.Methods and ResultsWe examined C. cyanellus specimens collected at eight different localities in Mexico (two or three specimens per locality). We initially made amplification tests with 16 loci, but two of these showed amplification problems; thus, we evaluated 14 loci. The 14 microsatellites were polymorphic, with 2–16 alleles each. The expected and observed heterozygosity ranged from 0.11 to 0.76 and from 0.20 to 0.78, respectively. ConclusionsThese microsatellites will help to assess structure at the population and lineage levels, identify zones of potential hybridization between lineages, and draw a more precise geographic delimitation of Canthon cyanellus lineages.
Using Deep Learning to Detect Pediatric Congenital Heart Disease by Chest Radiography
Authors: Chen Rui , Wu Xinyi , Chung Taylor , Sun Longwei , Schoenhagen Paul , Du Zhicheng , Ye Weitao , Tan Zekun , Li Tingyu , Wu Hongyu , Qiao Weidong , Zhong Xiaomei , Wang Shushui , Chen Xi , Yu Zhuliang , Liu Hui 
Published: May 2021

Abstract
Purpose: To detect congenital heart disease (CHD) patients is a challenging task in low-income areas with limited resources. Chest radiography is usually available in these areas, but the diagnostic accuracy needs to be improved. The aim of the study was to establish a deep learning-based diagnostic tool for paediatric CHD patients using chest radiography. Methods: Totally 11,105 chest radiographs from 11,105 paediatric patients in two centres were labeled, and a convolutional neural network (CNN) was trained for diagnosing CHD in the dataset from Hospital 1. To demonstrate the generalizability and the clinical usefulness of CNN, the accuracy in test set from two centres were both reported. We also trained another CNN to evaluate pulmonary blood flow (PBF) on chest radiographs of the patients. Moreover, the predictive results of both CNN were compared to the decisions of three experienced radiologists (range 10–35 years) without any patient information. Results: The accuracy of CNN for detecting CHD was 81.4% (95% confidence interval, [78.3%–84.2%]) in Hospital 2, while the accuracy was 85.6% (95% confidence interval, [84.0%–87.1%]) in Hospital 1. The overall accuracy of CNN for evaluating PBF was 78.9% (95% confidence interval, [74.3%–83.0%]). Compared to three experienced radiologists, CNN showed statistically non-inferiority at a 5% margin for the accuracy (P < 0.025) in detecting CHD and evaluating PBF.Conclusions: The deep learning-based diagnostic tool we developed could effectively detect CHD and evaluate for PBF on chest radiography. It can potentially aid the radiologists and cardiologists in the future.
Anticolon Cancer Activity of Zinc Oxide Nanoparticles Using Fresh Leaf Extract Nyctanthes Arbor-tristis
Authors: Mathammal R. , Shreema K. , Mekala R. , Kalaiselvi V. , Vijayakumar Sekar 
Published: May 2021

Abstract
The present study reports the green synthesis of Zinc Oxide nanoparticles using the aqueous leaf extract Nyctanthes arbor-tristisis by co-precipitation method. The synthesized zinc oxide nanoparticles are characterized by X-Ray diffraction (XRD), Fourier Transform Infrared Spectral Analysis (FTIR), UV-Visible spectroscopy (UV-Vis), Scanning Electron Microscopy (SEM) and Energy dispersive X-Ray Analysis (EDX). The Zinc Oxide nanoparticle are crystalline in nature and have hexagonal structure with the particle size of about 25 nm and is determined by XRD analysis. The capping agent and the functional groups of the Zinc Oxide nanoparticles are determined by FTIR spectral analysis. The band gap energy is about 3.18 eV for the synthesized ZnO nanoparticles which is calculated by UV-Visible spectroscopy. The surface morphological structure of ZnO nanoparticles is spherical in shape. The EDX spectroscopy is used to determine elemental composition of ZnO nanoparticles. The anticancer activity of Zinc Oxide nanoparticles have high toxicity against HT-29 cell line which is determined by MTT assay. The synthesized ZnO nanoparticles have decreased cell viability from 99% to 23% with increasing concentration from 10 to100 μg/mL.
Origin of Mmp-8 and Lactoferrin Levels From Gingival Crevicular Fluid, Salivary Glands and Whole Saliva
Authors: Ramenzoni Liza L. , Hofer Deborah , Solderer Alex , Wiedemeier Daniel , Attin Thomas , Schmidlin Patrick R. 
Published: May 2021

Abstract
Background: Pathologically elevated levels of MMP-8 and Lactoferrin in oral fluids have been associated with the presence of gingivitis/periodontitis. This study aimed to assess the origin of MMP-8 and Lactoferrin in periodontitis patients and to identify the degree to which conventional clinical parameters correlate with their presence. Methods: A total of ten periodontitis and ten healthy patients were included in this study. Whole saliva (stimulated and unstimulated), parotid/sublingual glandular fluid and gingival crevicular fluid from pockets and sulci were tested for MMP-8 and Lactoferrin and protein concentrations were quantified using an ELISA assay. Clinical parameters were checked for potential associations with MMP-8 and Lactoferrin levels. Results: Periodontal patients presented higher concentrations of MMP-8 and Lactoferrin in pockets than other sources (P=0.03). Lactoferrin measurement was higher in the parotid compared to sublingual glandular fluid in periodontitis patients (P=0.03). Increased probing pocket depth was positively correlated with high MMP-8 and Lactoferrin levels. Conclusions: Periodontal pockets appear to be the major source of aMMP-8 and Lactoferrin, which also may also enter the oral cavity through the salivary glands. Since clinically healthy sites in periodontitis patients also had elevated biomarker levels, GCF biomarker testing may be more predictive of future tissue breakdown than conventional clinical parameters.
Statistical Analysis of Aneurysmal Subarachnoid Hemorrhage Trials
Authors: Shuman William H , Neifert Sean N , Martini Michael L , Chapman Emily K , Schupper Alexander J , Oermann Eric K , Mocco J , Boogaarts Jeroen , Cusimano Michael D , Manoel Airton Leonardo de Oliveira , Etminan Nima , Fukuda Hitoshi , Hanggi Daniel , Jaja Blessing N.R. , Kirkpatrick Peter , Roux Peter Le , Lo Benjamin , Mayer Stephen , Molyneux Andrew , Quinn Audrey , Rinkel Gabriel J.E. , Schweizer Tom A , Suarez Jose I , Todd Michael , Torner James C , Bergh Walter M van den , Vergouwen Mervyn D.I. , Yamagata Sen , Wong George , Macdonald Robert Loch 
Published: May 2021

Abstract
Background: Many randomized controlled trials (RCT) have assessed new treatments in subarachnoid hemorrhage (SAH), yet most show no treatment efficacy. One explanation is the statistical analysis of the primary endpoint was not as efficient as possible. We reanalyzed SAH RCTs with various statistical tests to determine whether the statistical method affects RCT primary outcome.Methods: Individual patient data for the primary outcome (Glasgow outcome scale [GOS]) of two SAH RCTs were analyzed using 15 statistical methods. For tests requiring outcome dichotomization, multiple cut-points in the 5-level GOS were assessed. Next, a synthetic dataset generated using random sampling with replacement from ten SAH RCTs was assessed using the same statistical tests. A Friedman test (two-way non-parametric analysis of variance) determined which tests produced the highest average absolute Z-values. The number of times each test reported significance of p<0.05 across the different datasets was calculated.Results: Bootstrapping with replacement produced the best-ranking results, followed by three χ2-tests: one differentiating excellent (GOS=5) from good (GOS=4), poor (GOS=2-3), or dead (GOS=1) outcomes; one differentiating favorable (GOS=4-5) from poor or dead outcomes; and one differentiating favorable (GOS=4-5) from unfavorable outcomes. Each of these reported statistical significance for both RCTs, as did the following ranked tests, respectively: Wilcoxon median test, Student’s t-test, ordinal logistic regression, median test, and a chi-square dichotomizing excellent (GOS≥4) and inferior outcomes. Statistical significance for one or neither RCT was reported by two Cochrane-Armitage tests and two logistic regressions with alternate versions of bucketing, the Kolmogorov-Smirnov test and chi-square test differentiating surviving from dead patients. The synthetic dataset returned similar results, with the same nine most and six least efficient tests.Conclusions: Bootstrapping produced the most efficient results but is time-and resource-intensive. Chi-square tests grouping outcomes into dichotomous or multiple buckets are also efficient, and their ease of use and popularity make them appropriate candidates for statistical analysis in future SAH RCTs.
Analysis of Micro Cracks and Die Erosion in Die Casting
Authors: BHASKAR M , nalluswamy Tamil selvam 
Published: May 2021

Abstract
Die soldering is challenging issue on die life and casting quality in High Pressure Die Casting (HPDC) Industry. Itincreases die down time which causes increasing production cost per piece. Die soldering can be tackled by surfaceheat treatment operations like gas nitriding and other PVD coatings. Used and scraped die is selected from the diecasting industry for investigation of die soldering issue. Chemical distribution of elements and surface condition ofaffected die soldering zone is investigated. The study reveals that, there are abundant micro cracks, micro holes andmicro cavities at soldering portion. The radius of micro holes is about 0.25 μm and the radius of macro holes isabout 8μm. The die inserts are made up of H13 die steel and LM24 Aluminum alloy is used for casting operation. Atthe die soldering cross section region, distribution of aluminum and die soldering mechanism and its causes studied.The die soldering mechanism is classified as chemical, physical, mechanical and mixed soldering. The solderingphenomena have been researched based on die temperature and its chemistry, metal temperature and its chemistry,injection pressure and its velocity, and die surface roughness. The spread and formation of die soldering on used andscraped die is also discussed in this article.
The establishment of a multi-source dataset of images on common oral lesions
Authors: Rajendran Senthilmani , Lim Jian Han , Yogalingam Kohgulakuhan , Kallarakkal Thomas George , Zain Rosnah Binti , Jayasinghe Ruwan Duminda , Rimal Jyotsna , Kerr Alexander Ross , Amtha Rahmi , Patil Karthikeya , Welikala Roshan Alex , Lim Ying Zhi , Remagnino Paolo , Gibson John , Tilakaratne Wanninayake Mudiyanselage , Liew Chee Sun , Yang Yi-Hsin , Barman Sarah Ann , Chan Chee Seng , Cheong Sok Ching 
Published: May 2021

Abstract
Purpose

To establish an oral lesion image database that could accelerate the development of artificial intelligence systems for lesion recognition and referral decision.
Materials and Methods

We describe the establishment of a multi-sourced image dataset through the development of a platform for the collection and annotation of images. Further, we developed a used-friendly tool (MeMoSA® ANNOTATE) for systematic annotation to collect a rich dataset associated with the images. We evaluated the sensitivities comparing referral decisions through the annotation process with the clinical diagnosis of the lesions to identify lesions that are challenging to identify through images alone.
Results

The image repository hosts 2474 images of oral lesions consisting of oral cancer, oral potentially malignant disorders, benign lesions, normal anatomical variants and normal mucosa that were collected through our platform, MeMoSA® UPLOAD. Over 800 images were annotated by seven oral medicine specialists on MeMoSA®ANNOTATE, to mark the lesion and to collect clinical labels. The sensitivity in referral decision for all lesions that required a referral for cancer management/surveillance was moderate to high depending on the type of lesion (64.3–100%).
Conclusion

This is the first description of a database with well-annotated oral lesions. This database has already been used for the development of AI algorithm for classifying oral lesions. Further expansion of this database could accelerate the improvement in AI algorithms that can facilitate the early detection of oral potentially malignant disorders and oral cancer.