bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of ultrasonic pretreatments on the characteristics of pectin extracted from Salustiana orange cultivated in Argentina
Authors: Castellarin Ivana , Higuera Coelho Ricardo , Zukowski Enzo , Ponce Nora Marta Andrea , Stortz Carlos , Gerschenson Lía Noemí , Fissore Eliana Noemí 
Published: December 2022

AbstractThe use of direct and indirect ultrasound pretreatments was evaluated for the extraction of pectin enriched fractions with citric acid (pH 2.3, 85°C) from the albedo and pulp of Salustiana orange. The extractive method that produced the highest yield was the one involving a pretreatment with direct high‐power ultrasound (HPUS) (41 g isolated fraction/100 g albedo CM versus 30 g isolated fraction/ 100 g albedo CM for indirect treatment; 39 g isolated fraction/100 g pulp CM versus 26 g isolated fraction/100 g pulp CM for indirect treatment) and allowed extracting the highest amount of pectin from both albedo and pulp. The major neutral sugars found in all fractions were arabinose, galactose, and rhamnose. Pectins were obtained with weight average molecular masses of 566–729 kDa from the albedo and 663–739 kDa from the pulp. All fractions gelled in the presence of sucrose at acidic pH. Pretreatment with HPUS gave origin to the least elastic gels (albedo: G′ higher than 100 Pa, G″ higher than 20 Pa. Pulp: G′ higher than 70 Pa, G″ higher than 25 Pa), while indirect US produced fractions that formed more elastic gels (albedo: G′ higher than 1000 Pa, G″ higher than 250 Pa. Pulp: G′ higher than 500 Pa, G″ higher than 100 Pa). Ultrasound pretreatments allowed obtaining a variety of pectin enriched fractions with interesting characteristics for food formulation.Practical applicationsPectins are widely used as texture modifiers in the food industry. Commercial pectins are commonly obtained from waste from the citrus juice industry, using mineral acids at high temperatures, producing large amounts of polluting effluents. The study of the use of organic acids in combination with clean technologies such as ultrasound, which allow higher pectin yields to be obtained through less polluting processes, is of great interest as an environmentally friendly alternative. Likewise, it is important to demonstrate that the pectins obtained through such technologies are effectively useful for the industry as texture modifying additives. In this work it is proposed to study the effect of the use of indirect and direct ultrasound as pretreatments in the extraction with citric acid of Salustiana orange pectin.
Early developmental profiles among infants with Down syndrome
Authors: Onnivello S. , Schworer E. K. , Prince M. A. , Daunhauer L. A. , Fidler D. J. 
Published: December 2022

AbstractBackgroundDown syndrome (DS) generally predisposes children to a pattern of relative developmental strengths and challenges, but within‐syndrome heterogeneity is also commonly observed across many dimensions. The present research examines whether heterogeneity in developmental presentation can be detected during infancy in DS and whether factors associated with differing profiles can be identified.MethodsInfants with DS (n = 75; age range: 3.9–17.6 months) were administered the Bayley Scales of Infant Development III (Bayley‐III). A primary caregiver provided information regarding developmental history and family demographics. Latent profile analysis was conducted to identify whether early profiles were present across the five Bayley‐III domains.ResultsThree developmental profiles were observable within the sample: a ‘Mild Delay’ Profile, an ‘Moderate Delay’ Profile and a ‘Pronounced Delay’ Profile. In addition, chronological age, having received heart surgery and having received occupational therapy were associated with probability of profile membership.ConclusionsFindings from this study contribute to the growing knowledgebase regarding heterogenous presentations associated with DS and can inform early intervention planning.
Impact of periodontitis on gingival crevicular fluid miRNAs profiles associated with cardiovascular disease risk
Authors: Isola Gaetano , Santonocito Simona , Distefano Alfio , Polizzi Alessandro , Vaccaro Manuel , Raciti Giuseppina , Alibrandi Angela , Li Volti Giovanni 
Published: December 2022

AbstractBackground and ObjectiveRecent emerging evidence has shown that microRNA (miRNAs) is involved in several epigenetic processes linked with periodontitis, increased oxidative stress and cardiovascular disease (CVD). The present study aimed to assess the impact of periodontitis on gingival crevicular fluid (GCF) miRNAs expression associated with CVD risk and to evaluate possible confounders that influenced this association.Materials and MethodsFor the present study, healthy controls (n = 28) and subjects with CVD (n = 28), periodontitis (n = 30) and periodontitis + CVD (n = 29) were enrolled. All subjects underwent regular periodontal examinations and blood sampling. In addition, GCF sampling was performed, and miRNAs 7a‐5p, 21‐3p, 21‐5p, 100‐5p, 125‐5p, 200b‐3p, and 200b‐5p expression was analyzed using a real‐time quantitative polymerase chain reaction (RT‐PCR).ResultsThe results showed that periodontitis and periodontitis + CVD subjects presented significantly different GCF miRNAs expression compared to healthy controls and CVD subjects. More specifically, compared to healthy controls and CVD, subjects with periodontitis and periodontitis + CVD showed higher GCF miRNA 7a‐5p, miRNA 21‐3p, miRNA 21‐5p, miRNA 200b‐3p, and miRNA 200b‐5p (p < .05) and lower miRNA 100‐5p, miRNA 125‐5p levels (p < .05). Furthermore, the multivariate regression analysis evidenced that periodontitis (miRNA 21‐3p, 100‐5p) and periodontal inflamed surface area (PISA) (miRNA 7a‐5p, 21‐3p, 21‐5p, 100‐5p, 125‐5p, 200b‐3p) were significant predictors of GCF miRNAs concentration (p < .05).ConclusionThe results of the study highlighted that the periodontitis and periodontitis + CVD group showed higher GCF miRNAs expression than healthy controls and CVD subjects. Furthermore, periodontitis and its extent (PISA) were revealed as significant predictors of GCF miRNAs associated with CVD risk.
Sexual interference revealed by joint study of male and female pollination success in chestnut
Authors: Larue Clément , Klein Etienne K. , Petit Rémy J. 
Published: December 2022

AbstractMost seed plants produce both pollen and ovules. In principle, pollen export could interfere with pollen import through self‐pollination, resulting in ovule usurpation and reduced fruit set. Evidence for such interference exists under experimental settings but its importance under natural conditions is unknown. To test for sexual interference in nature, it is necessary to study together mating system, through paternity analyses, and fruit set, the proportion of flowers giving seeds or fruits. We developed a new model combining both processes, using chestnut (Castanea) as case study. We carried out a paternity analysis in an intensively studied plot of 273 trees belonging to three interfertile chestnut species and including a range of individuals with more or less functional stamens, resulting in a large data set of 1924 mating events. We then measured fruit set on 216 of these trees. Fruit set of male‐fertile trees was much lower than that of male‐sterile trees. Our process‐based model shows that pollen is not limiting in the study site and hence cannot account for reduced fruit set. It also indicates that self‐pollination is high (74%) but selfing rate is low (4%). Self‐pollen is less competitive than cross‐pollen, reducing sexual interference, but not sufficiently, as many ovules end up being self‐fertilized, 95% of which abort before fruit formation, resulting in the loss of 46% of the fruit crop. These results suggest that the main cause of reduced reproductive potential in chestnut is sexual interference by self‐pollen, raising questions on its evolutionary origins.
Landscapes of support for farming mental health: Adaptability in the face of crisis
Authors: Shortland Faye , Hall Jilly , Hurley Paul , Little Ruth , Nye Caroline , Lobley Matt , Rose David Christian 
Published: December 2022

AbstractPoor mental health is an important and increasingly prevalent issue facing the farming industry. The adaptability of what we, in this article, describe as ‘landscapes of support’ for farming mental health is important to allow support systems to adapt successfully in times of crisis. The term ‘landscapes of support’ refers to the range of support sources available to farmers, including government, third sector bodies and farming/community groups. This article seeks to understand the factors influencing the adaptability of these landscapes of support, especially at a time of crisis. Using a case study of the UK, we undertook a literature review, interviews with 22 mental health support providers and an online survey of people within landscapes of support (93) and farmers themselves (207). We also held an end‐of‐project workshop. Using an adapted three‐point framework to assess adaptability, we found that support‐giving organisations adapted during the pandemic using a range of interventions (e.g., enhanced digital offering, use of media), but implementation was affected by organisational challenges (e.g., limited digital training, funding shortfalls, staff trauma) and operational constraints (e.g., lack of capacity, rural digital divide, tension between providers, stigma). We discuss how landscapes of support for farming mental health can be made more sustainable to deal with future shocks.
Micro-, Meso- and Macrostructural Design of Bulk Metallic and Polymetallic Materials by Wire-Feed Electron-Beam Additive Manufacturing
Authors: Kolubaev E. A. , Rubtsov V. E. , Chumaevsky A. V. , Astafurova E. G. 
Published: December 2022

Abstract
Additive manufacturing of metal materials is one of the most promising technologies in modern industry. A wide variety of current additive manufacturing techniques allow rapid prototyping and industrial production of different-sized products from various structural and functional materials. The structure and physical-mechanical properties of the metal products fabricated by electron-beam additive manufacturing (EBAM) within nonstationary metallurgy in a local molten pool often differ from those of the products fabricated by conventional metallurgy due to different crystallization mechanisms, sequence and completeness of phase transformations, and heterogeneous/homogeneous chemical composition of the resulting material. The possibility to control local metallurgical processes in the molten pool is the key advantage of the EBAM technology. It allows one to control the structure, composition, and properties of mono- and polymetallic, graded, composite and heat-resistant materials in order to obtain products with the desired chemical composition, macroscopic architecture, and microscopic structural parameters. As any new industrial technology, the EBAM method requires the development of scientifically based approaches to the choice of materials and production conditions. Here we provide an overview of the scientific approaches developed for electron-beam additive manufacturing of products from metals and alloys using wire or rods as a feedstock. The range of the studied materials includes additive materials based on copper, bronze, aluminum, nickel, titanium alloys, and different steels, as well as aluminum-based functionally graded materials and copper-based graded materials. The most important research findings are summarized.
Digital cognitive behavioural therapy intervention in the workplace: study protocol for a feasibility randomised waitlist-controlled trial to improve employee mental well-being, engagement and productivity
Authors: Patel Krishane , Moukhtarian Talar Rita , Russell Sean , Daly Guy , Walasek Lukasz , Tang Nicole K Y , Toro Carla , Meyer Caroline 
Published: December 2022

IntroductionOne in six workers experience some form of mental health problems at work costing the UK economy an estimated £70 billion/year. Digital interventions provide low cost and easily scalable delivery methods to implement psychological interventions in the workplace. This trial tests the feasibility of implementing a self-guided 8-week digital cognitive behavioural therapy intervention for subthreshold to clinical depression and/or anxiety versus waitlist control (ie, life as usual) in the workplace.Methods and analysisFeasibility of implementation will be tested using a mixed-methods evaluation of the two-arm randomised waitlist-control trial. Evaluation will include examination of organisational buy-in, and the engagement of employees through the trial indicated by the completion of outcome measures. In addition, we also explore how participants use the platform, the appropriateness of the analysis both with reference to the outcome measures and linear modelling. Finally, we examine the acceptability of the intervention based on participants experiences using qualitative interviews. Assessments take place at baseline (T0), at 8 weeks post-treatment (T1), at short-term follow-up 4 weeks post-treatment (T2) and long-term follow-ups (6 and 12 months after-end of treatment). We will recruit from 1 July 2021 to 31 December 2021 for employees and self-employed workers with depression and anxiety symptoms (subclinical and clinical levels) who are not seeking or engaged in treatment at the time of the trial.Ethics and disseminationFull approval was given by the University of Warwick Biomedical and Research Ethics Committee (BSREC 45/20–21). The current protocol version is 2.8 (August 2021). Publication of results in peer-reviewed journals will inform the scientific, clinical and business communities. We will disseminate results through webinars, conferences, newsletter as well as a lay summary of results on the study website (mhpp.me).Trial registration numberISRCTN31161020.
Engagement with healthcare providers and healthcare system navigation among Australians with chronic conditions: a descriptive survey study
Authors: Zurynski Yvonne , Ellis Louise A , Pomare Chiara , Meulenbroeks Isabelle , Gillespie James , Root Jo , Ansell James , Holt Joanna , Wells Leanne , Braithwaite Jeffrey 
Published: December 2022

ObjectivesWith the rate of chronic conditions increasing globally, it is important to understand whether people with chronic conditions have the capacity to find the right care and to effectively engage with healthcare providers to optimise health outcomes.We aimed to examine associations between care navigation, engagement with health providers and having a chronic health condition among Australian adults.Design and SettingThis is a cross-sectional, 39-item online survey including the navigation and engagement subscales of the Health Literacy Questionnaire, completed in December 2018, in Australia. Binary variables (low/high health literacy) were created for each item and navigation and engagement subscale scores. Logistic regression analyses (estimating ORs) determined the associations between having a chronic condition and the navigation and engagement scores, while controlling for age, gender, level of education and income.Participants1024 Australians aged 18–88 years (mean=46.6 years; 51% female) recruited from the general population.ResultsOver half (n=605, 59.0%) of the respondents had a chronic condition, mostly back pain, mental disorders, arthritis and asthma. A greater proportion of respondents with chronic conditions had difficulty ensuring that healthcare providers understood their problems (32.2% vs 23.8%, p=0.003), having good discussions with their doctors (29.1% vs 23.5%, p=0.05), discussing things with healthcare providers until they understand all they needed (30.5% vs 24.5%, p=0.04), accessing needed healthcare providers (35.7% vs 29.7%, p=0.05), finding the right place to get healthcare services (36.3% vs 29.2%, p=0.02) and services they were entitled to (48.3% vs 40.6%, p=0.02), and working out what is the best healthcare for themselves (34.2% vs 27.7%, p=0.03). Participants with chronic conditions were 1.5 times more likely to have low scores on the engagement (adjusted OR=1.48, p=0.03, 95% CI 1.05 to 2.08) and navigation (adjusted OR=1.43, p=0.026, 95% CI 1.043 to 1.970) subscales after adjusting for age, gender, income and education.ConclusionUpskilling in engagement and communication for healthcare providers and people with chronic conditions is needed. Codesigned, clearly articulated and accessible information about service entitlements and pathways through care should be made available to people with chronic conditions. Greater integration across health services, accessible shared health records and access to care coordinators may improve navigation and engagement.
Acceptance of a computer vision facilitated protocol to measure adherence to face mask use: a single-site, observational cohort study among hospital staff
Authors: Chai Peter R , Rupp Phillip , Huang Hen-Wei , Chen Jack , Vaz Clint , Sinha Anjali , Ehmke Claas , Thomas Akhil , Dadabhoy Farah , Liang Jia Y , Landman Adam B , Player George , Slattery Kevin , Traverso Giovanni 
Published: December 2022

ObjectivesMask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed to develop and deploy a computer vision algorithm to provide real-time feedback of mask wearing among staff in a hospital.DesignSingle-site, observational cohort study.SettingAn urban, academic hospital in Boston, Massachusetts, USA.ParticipantsWe enrolled adult hospital staff entering the hospital at a key ingress point.InterventionsConsenting participants entering the hospital were invited to experience the computer vision mask detection system. Key aspects of the detection algorithm and feedback were described to participants, who then completed a quantitative assessment to understand their perceptions and acceptance of interacting with the system to detect their mask adherence.Outcome measuresPrimary outcomes were willingness to interact with the mask system, and the degree of comfort participants felt in interacting with a public facing computer vision mask algorithm.ResultsOne hundred and eleven participants with mean age 40 (SD15.5) were enrolled in the study. Males (47.7%) and females (52.3%) were equally represented, and the majority identified as white (N=54, 49%). Most participants (N=97, 87.3%) reported acceptance of the system and most participants (N=84, 75.7%) were accepting of deployment of the system to reinforce mask adherence in public places. One third of participants (N=36) felt that a public facing computer vision system would be an intrusion into personal privacy.Public-facing computer vision software to detect and provide feedback around mask adherence may be acceptable in the hospital setting. Similar systems may be considered for deployment in locations where mask adherence is important.
Comparative efficacy of different acupuncture therapies on cancer-related insomnia: protocol for a systematic review and network meta-analysis
Authors: Chen Liying , Xu Shiting , Jia Zhaoxing , Tan Yaojin , Shi Xinyi , Lin Xianming 
Published: December 2022

IntroductionCancer-related insomnia (CRI), as a common complication in cancer survivors, may further lead to depression, anxiety and other symptoms. Acupuncture therapy is a promising therapeutic strategy for CRI. The effectiveness of acupuncture therapy on CRI has been validated by several relevant meta-analyses. Questions remain, however, including which acupuncture regimen is optimal. We aim to conduct the first network meta-analysis to compare different acupuncture therapies, rank their effectiveness and assess which approach could be optimal for treatment of CRI.Methods and analysisA comprehensive search of PubMed, Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Database, VIP Database (China Science and Technology Journal Database), and China Biology Medicine (from inception until 1 March 2022) will be carried out to identify randomised controlled trials (RCTs) of acupuncture therapy for insomnia in cancer survivors, reported in English or Chinese. Reviews, animal studies, non-RCT studies, editorials and other secondary insomnia studies will be excluded. The primary outcome measure will be the Pittsburgh Sleep Quality Index. Pairwise meta-analysis will be performed in Stata and network meta-analysis by OpenBUGS, R and Stata. Network plots and funnel plots will be used to show the scale of studies and participants for each intervention and the potential publication bias, respectively. Both heterogeneity and consistency will be evaluated by R. ORs with 95% CIs and mean differences with 95% CI will be calculated in OpenBUGS and transformed into league figure and surface under the cumulative ranking by Stata to visualise the results.Ethics and disseminationEthical committee approval for this review is unnecessary since the data used will be extracted from pre-existing literature. The results will be submitted for publication in a peer-reviewed journal and presented at international academic conferences.
Critical realist exploration of long-term outcomes, impacts and skill development from an Australian Rural Research Capacity Building Programme: a qualitative study
Authors: Schmidt David , Duncanson Kerith , Webster Emma , Saurman Emily , Lyle David 
Published: December 2022

ObjectivesResearch capacity building programmes usually only examine short-term outcomes, following up participants after 1 or 2 years. Capacity building in health research requires a long-term view to understand the influence and impact of capacity building endeavours. This study examined long-term outcomes for individuals regarding the maintenance and use of research skills and the conduct of real-world research in a rural area. We also explored the changes individuals had seen in their career, work team or organisation as a result of this training.DesignA qualitative study underpinned by critical realism and based on interviews and focus groups with graduates of the Rural Research Capacity Building Programme (RRCBP), a researcher development programme that has been delivered since 2006.SettingRural and remote areas of New South Wales, Australia.Participants22 graduates of the RRCBP from the 2006 to 2015 cohorts (20 female, 2 male). All were experienced rural-based health workers at the time of training.ResultsFocus groups and interviews yielded three themes about capacity building outcomes: (1) developed research capable individuals; (2) embedded research capability into teams and (3) real-world research that makes a difference within an organisation.ConclusionsResearch training improved graduates’ skill, experience, confidence and employability. Research capable individuals enabled others, enhancing team research capacity and raising the profile of research within their organisation.Training in research, alongside tangible organisational support for research activity, creates real-world impacts for policy and clinical practice. Providing ongoing opportunities for researchers to undertake research would enhance return on investment and assist with retention of experienced staff.