bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aquasoya powder from the upcycled soybean cooking water can be a suitable ingredient for plant‐based yoghurt alternatives
Authors: Jeon Hye‐Ji , Shin Weon‐Sun , Echeverria‐Jaramillo Esteban 
Published: July 2024

SummaryAquasoya, or soybean cooking water, is a novel plant‐based material as an egg substitute due to its functional proteins. However, research on its fermentation is still emergent. To assess its prebiotic potential, we developed a plant‐based yoghurt alternative using aquasoya powder (ASP). After analysing the main components of ASP, six variants of aquasoya yoghurt, employing commercial cultures, underwent physicochemical, rheological properties, lactic acid bacteria viability and sensory attributes. The results showed that all samples were maintained under pH 4.6 and acidity over 0.7 for 20 days of storage and displayed prebiotic potential. Additionally, yoghurt with 8% ASP content and Sacco starter culture exhibited a thinner network phase. Panellists noted yoghurt with culture – Culture For Health – had weaker flavour intensity and yoghurt with 8% ASP received the highest overall liking score in the preliminary consumer acceptance test. This study established aquasoya as a promising food ingredient for incorporation into a novel milk substitute.
Comparative analysis of rice bran and sesame protein hydrolysates in inhibiting foodborne pathogens: efficacy against Escherichia coliO157:H7 and Listeria monocytogenes
Authors: Noptana Rodjana , Onsaard Ekasit , McClements David Julian , McLandsborough Lynne A. 
Published: July 2024

SummaryThis study explores the antibacterial potential of hydrolysates derived from rice bran protein (RBP) and sesame protein (SP) against Escherichia coli O157:H7 and Listeria monocytogenes. RBP and SP were hydrolysed by protease from Bacillus licheniformis (labelled as RBPH‐B and SPH‐B) and α‐chymotrypsin (denoted as RBPH‐C and SPH‐C), and subsequently fractionated into four molecular weight (MW) categories: F1 (>100 kDa), F2 (10–100 kDa), F3 (1–10 kDa), and F4 (<1 kDa). The antibacterial activities of these hydrolysates and their fractions were systematically evaluated. The results indicated that RBPH‐B and RBPH‐C, along with their fractions, exhibited notable efficacy against L. monocytogenes. Conversely, both SPH‐B, SPH‐C, and their fractions showed pronounced antibacterial activities against both pathogens. Notably, lower MW fractions (SPH‐B, SPH‐B‐F2, and SPH‐B‐F3) demonstrated superior antibacterial properties, effectively reducing bacterial populations to below detection limits (≥6 log CFU mL−1) at a concentration of 100 mg mL−1. Further analysis revealed that SPH‐B‐F3 markedly reduced the reaction time required to inhibit or eliminate E. coli O157:H7 and L. monocytogenes, with comparable times of 6 and 4 h, respectively. These findings highlight the potential application of specific SPH‐B fractions as antibacterial agents in the food industry.
Polygenic TB control and the sequence of innate/adaptive immune responses to infection: MHC‐II alleles determine the size of the S100A8/9‐producing neutrophil population
Authors: Logunova Nadezhda , Kapina Marina , Dyatlov Alexander , Kondratieva Tatiana , Rubakova Elvira , Majorov Konstantin , Kondratieva Elena , Linge Irina , Apt Alexander 
Published: July 2024

AbstractAmong several quantitative trait loci involved in tuberculosis (TB) control in mice, one was mapped within the chromosome 17 segment occupied by the H2 complex and another within the chromosome 3 segment comprising the S100A8/9 genes, which encode neutrophil inflammatory factor S100A8/9. Previously, we developed a panel of H2‐congenic mouse strains differing by small segments of the major histocompatibility complex Class II (MHC‐II) region from TB‐susceptible H2j mice transferred onto the genetic background of the TB‐resistant C57BL/6 (H2b) strain. Susceptible B6.I‐9.3 mice differ from B6 progenitors by the alleles of their only classical MHC‐II H2‐Aβ gene. The goals of the present study were to: (i) comprehensively characterise the differences in TB‐related phenotypes between mice of the two strains and (ii) decipher interactions between the H2‐Aβ and S100A8/9 genes. Here, we describe the dynamics of TB‐related phenotypes differentiating B6.I‐9.3 and B6 mice (colony forming units counts, histopathology, lung immune cell infiltration and cytokine profiles). We show that disproportionally diminished CD4+ T‐cell population, an enlarged S100A8/9‐positive neutrophil population and higher S100A8/9 serum levels in B6.I‐9.3 mice collectively form the ‘susceptible’ phenotype before infection. An increase in IL‐17 and a decrease in intrferon‐gamma production by CD4+ T‐cells in these mice provide a mechanistic explanation of this phenotype. Using F2 segregation analysis, we show that the number of S100A8/9‐producing neutrophils in lungs and spleens and the proportion of Th17 CD4+ T‐cells in lungs are significantly lower in the presence of the MHC‐II dominant ‘resistant’ b allele compared to the recessive ‘susceptible’ j/j genotype. This provides direct genetic evidence that MHC‐II‐regulated CD4+ T‐cell landscapes determine neutrophil abundance before infection, an important pathogenic factor in TB immunity.
Unveiling Genotypic Response of Chickpea to Moisture Stress Based on Morpho‐Physiological Parameters in the Eastern Indo‐Gangetic Plains
Authors: Choudhary Arbind K. , Dwivedi Sharad Kumar , Raman Rohan Kumar , Kumar Saurabh , Kumar Rakesh , Kumar Santosh , Dubey Rachana , Bhakta Narayan , Shubha Kumari 
Published: July 2024

ABSTRACTIn the eastern Indo‐Gangetic plains, chickpea is grown postrice cultivation mostly under rainfed condition with residual soil moisture which adversely affects branching as well as pod and seed development, ultimately resulting in substantial yield losses. The current study analysed the moisture stress response of 12 chickpea genotypes with control for different morpho‐physiological traits in two sets of field experiments carried out during the year 2017–18 and 2018–19. The current study observed varying response of chickpea genotypes under moisture stress condition with average yield reduction from 11.79% to 24.77%. Mean yield of genotypes under stress condition showed a strong positive association with yield index (1.00**) and stress tolerance index (0.915**). The biplot principal component analysis revealed maximum potential of three chickpea genotypes (DBGC 1, Pusa 256 and DBGC 2) for grain yield and biological yield under moisture stress condition. The correlation analysis showed a significant association of yield with physiological parameters such as photosynthetic rate (0.363**), stomatal conductance (0.364**) and transpiration rate (0.292*). The three higher yielding genotypes relatively maintained biological yield, yield plant−1, 100 seed weight and photosynthesis rate and showed reduced rates of stomatal conductance and transpiration under moisture stress condition. The study found variable genotypic response to moisture stress and showed that yield index as well as stress tolerance index was more effective to identify superior genotypes for moisture stress condition. The superior genotypes identified in the present study may be considered for rainfed areas of eastern Indo‐Gangetic plains and can be used in future chickpea breeding programs for drought tolerance.
Transgender people's experiences of hospitalization: A qualitative metasynthesis
Authors: Dasso Nicoletta , Ottonello Giulia , Hayter Mark , Catania Gianluca , Risso Giulia , Aleo Giuseppe , Zanini Milko , Sasso Loredana , Bagnasco Annamaria 
Published: July 2024

AbstractAimTo identify, synthesize, and interpret the scientific literature on the experience, perspectives, and feelings of transgender people during hospitalization.DesignA qualitative metasynthesis.Data SourcesPubMed, CINAHL and PSYCHINFO were consulted in March 2024.MethodsA literature review was conducted following Sandelowski and Barroso's four‐step metasynthesis methodology. The article selection process was conducted using the Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA) guidelines. Studies were selected based on the objectives of the review, pre‐established criteria and quality appraisal. A thematic analysis was conducted after extracting relevant quotations and a metasynthesis table was created to compare quotations and analyse overarching themes.ResultsTwenty‐two studies were included after screening titles and abstracts, full texts, and references. Three themes were identified: ‘Perception of self‐identity’; ‘Misgendering’ and ‘Lack of staff training and awareness’.ConclusionTransgender people's healthcare experiences during hospitalization were mainly negative, delayed or uncomfortable. Misgendering and lack of awareness of transgender issues among healthcare workers generated anxiety and frustration. Key aspects of care for transgender people need to be included in all training programs for health professionals.Implications for the Profession and/or Patient CareThere is a need to increase education and awareness among healthcare professionals towards transgender people's needs during hospitalization ensure high quality care.Impact

This study addressed the negative experience, perspectives and feelings of transgender people during hospitalization.

Misgendering and unawareness of transgender peoples' issues create anxiety and frustration among nurses.

Elements to improve care for transgender people need to be integrated into all nursing curricula and training programs.

Reporting MethodThe authors adhered to the Preferred Reporting Items for Systematic Reviews and Meta‐analyses (PRISMA) guidelines and the Critical Appraisal Skills Programme (CASP).Patient or Public ContributionSince this was a metasynthesis, no patient or public contribution was required.
Transition from homelessness to becoming housed: A qualitative study
Authors: Hyun Myung Sun , Nam Kyoung A , Park Eunyoung , Kim Jin Ju 
Published: July 2024

AbstractAimTo explore the transitional experiences of becoming housed from homelessness.DesignA qualitative descriptive study.MethodsData were collected during 2017 and 2018 using a semi‐structured interview method with 10 former homeless people who became housed at the time of the study. The grounded theory method was used to analyse qualitative data.Results‘Desire to keep a place to stretch out and lie down’ was the basic social problem participants suffered during the transition from homeless to becoming housed. In addition, ‘returning to the social world as a person living an ordinary life’ was the basic social process that emerged as a core category. The process was divided into four phases: (1) being discarded from everyday life in the social world, (2) struggling to reconnect with society and (3) returning to the social world as a person living an ordinary life.ConclusionThe transition from homelessness to becoming housed is a significant experience for individuals that involves holistic changes. Community health nurses should consider their practical needs based on client views.ImpactWhat problem did the study address? This study explored the experiences of transitioning from homelessness to becoming housed among post‐homeless individuals.What were the main findings? While moving from homelessness to becoming housed, homeless people experienced returning to the social world as a person living an ordinary life. They were also shown to go through the process of four stages.Where and on whom will the research have an impact? This study will contribute to suggesting a direction for self‐reliance‐based interventions among people who are homeless. Additionally, the findings will provide primary data to develop a program for social integration.Patient or Public ContributionNo patient or public contribution.
A structural equation model of the impacts of nurses' psychological safety and psychological contract breach
Authors: Ring Marjo , Hult Marja 
Published: July 2024

AbstractAimTo investigate the effects of psychological contract breach and psychological safety on health and well‐being outcomes among nurses.DesignA cross‐sectional study.MethodsData were gathered from members of the Finnish social and healthcare workers' trade union (n = 4575) in February 2023. This study focused on data from 3260 nurses. Structural equation modelling was employed to firstly explain burnout and work engagement and subsequently health and well‐being outcomes in relation to perceived psychological contract breach and psychological safety.ResultsYounger male nurses, those with lower‐level university degrees, and nurses employed in public hospitals reported experiencing more psychological contract breaches. Conversely, older nurses and those working in private organizations perceived a higher level of psychological safety. Psychological contract breaches were associated with increased burnout and reduced work engagement, while psychological safety contributed to lower burnout and higher work engagement. Moreover, burnout was linked to health problems and diminished mental well‐being, whereas increased work engagement led to fewer health problems and improved mental well‐being. The final model demonstrated excellent fit.ConclusionBreaches in the psychological contract, followed by distrust, and anger significantly burden nurses, detrimentally affecting their well‐being at work. Psychologically safe working environments, consequently, improve nurses' well‐being at work and should be promoted within work teams.Implications for the ProfessionNursing managers could receive training to understand the consequences of, and practices for supporting, a beneficial psychological work climate.ImpactThe study examined psychological burden and resource factors at work, finding that psychological contract breaches increased burden and led to negative well‐being outcomes. In contrast, psychological safety emerged as a positive resource for health and well‐being. These results offer benefits for nurses, managers and organizations.Reporting MethodThe study was reported following the Strengthening of the reporting of observational studies in epidemiology guidelines.Patient or Public ContributionNo patient or public contribution.
Paediatric nurses' perspectives on artificial intelligence applications: A cross‐sectional study of concerns, literacy levels and attitudes
Authors: Özçevik Subaşi Damla , Akça Sümengen Aylin , Semerci Remziye , Şimşek Enes , Çakır Gökçe Naz , Temizsoy Ebru 
Published: July 2024

AbstractAimsThis study aimed to explore the correlation between artificial intelligence (AI) literacy, AI anxiety and AI attitudes among paediatric nurses, as well as identify the influencing factors on paediatric nurses' AI attitudes.DesignA descriptive, correlational and cross‐sectional research.MethodsThis study was conducted between January and February 2024 with 170 nurses actively working in paediatric clinics in Turkey. The data collection tools included the Nurse Information Form, the General Attitudes Towards Artificial Intelligence Scale (GAAIS), the Artificial Intelligence Literacy Scale (AILS) and the Artificial Intelligence Anxiety Scale (AIAS). To determine the associations between the variables, the data was analysed using IBM SPSS 28, which included linear regression and Pearson correlation analysis.ResultsThe study indicated significant positive correlations between paediatric nurses' age and their AIAS scores (r = .226; p < .01) and significant negative correlations between paediatric nurses' age and their AILS (r = −.192; p < .05) and GAAIS scores (r = −.152; p < .05). The GAAIS was significantly predictive (p < .000) and accounted for 50% of the variation in AIAS and AILS scores.ConclusionPaediatric nurses' attitudes towards AI significantly predicted AI literacy and AI anxiety. The relationship between the age of the paediatric nurses and the anxiety, AI literacy and attitudes towards AI was demonstrated. Healthcare and educational institutions should create customized training programs and awareness‐raising activities for older nurses, as there are noticeable variations in the attitudes of paediatric nurses towards AI based on their age.Implications for Profession and/or Patient CareProviding in‐service AI training can help healthcare organizations improve paediatric nurses' attitudes towards AI, increase their AI literacy and reduce their anxiety. This training has the potential to impact their attitudes positively and reduce their anxiety.Reporting MethodThe study results were critically reported using STROBE criteria.Patient or Public ContributionNo patient or public contribution.
Association between renin‐angiotensin antagonism and COVID‐19–related mortality in patients with essential hypertension: A single center, retrospective cohort study
Authors: Kamalumpundi Vijayvardhan , Kawasaki Shuntaro , Cheng Linhai , Meyers Erin E. , Shams Elham , Ofori Ologibe , Eddin Assim , Correia Marcelo L. G. 
Published: July 2024

AbstractThere is conflicting evidence in select mouse models and humans that suggest angiotensin‐converting enzyme 2 expression is increased due to treatment with angiotensin converting enzyme inhibitors and angiotensin receptor blockers (ACEI/ARBs). Given the wide range of conditions that these medications treat, further evaluation is necessary to determine safety in the context of COVID‐19. We sought to determine the association between use of ACEI/ARBs and COVID‐19 severity in patients with essential hypertension. We included 714 patients with essential hypertension diagnosed with COVID‐19 and admitted to University of Iowa Healthcare from March 1, 2020 to June 29, 2021. Severity of COVID‐19 infection was assessed based on mortality, length of stay in hospital, intensive care unit admission, and use of supplemental oxygen, invasive ventilation, and vasopressors. Multivariable logistic and linear regression analyses were used for binary and continuous outcomes, respectively. Prior exposure to ACEI/ARBs before admission was significantly associated with lower mortality (OR: 0.454, p = .015), shorter length of stay in hospital (p < .001), and decreased adjusted odds of intensive care admission (OR: 0.719; p < .042). The present results suggest that patients with essential hypertension hospitalized with COVID‐19 who had a prescription for ACEI/ARBs prior to admission exhibited less severe COVID‐19 and lower in‐hospital mortality.
Comparative pharmacokinetics of a single oral dose of meloxicam in the California sea lion (Zalophus californianus) and Pacific harbor seal (Phoca vitulina richardii)
Authors: Trumbull Emily J. , Papich Mark G. , Peters Mattison , Whitmer Emily R. , Rivard Michelle , Field Cara L. 
Published: July 2024

AbstractPharmacokinetics studies have investigated meloxicam, a non‐steroidal anti‐inflammatory drug, dosing strategies in a wide variety of non‐domestic animals; however, there is no prior study examining well‐founded dosing for pinnipeds. To develop dosing protocols, pharmacokinetic information is needed, with an examination of differences between pinniped species. Apparently, healthy California sea lions (Zalophus californianus: CSL; n = 13) and Pacific harbor seals (Phoca vitulina richardii: PHS; n = 17) that had completed rehabilitation were enrolled into a population‐based pharmacokinetic study. Each animal was administered a single oral dose of meloxicam at 0.1 mg/kg, and two blood samples were collected from each animal at varying intervals during a 96‐h study period. Plasma concentrations of meloxicam were determined by high‐pressure liquid chromatography. Data were analyzed with nonlinear mixed effects modeling (Phoenix® NLME™, Certara, St. Louis, MO 63105, USA). The results indicated that in PHS, peak plasma concentration (Cmax) was 0.33 μg/mL with an elimination half‐life (Ke t½) of 31.53 h. In CSL, Cmax was 0.17 μg/mL with Ke t½ of 32.71 h. All animals enrolled completed the study without outward adverse clinical signs. The elimination half‐life was longer than previously recommended dosing intervals for pinnipeds; however, we cannot speculate in the optimum clinical dose from these results.
Maxillary arch dimensions in bilateral cleft lip and palate in the age 0–5 months
Authors: Peixoto Adriano Porto , Miranda Felicia , de Oliveira Pinto Rayane , Ribeiro Tiago Turri de Castro , Lara Franciele Salazar Somensi , Machado Fabrício Monteiro de Castro , Garib Daniela 
Published: July 2024

AbstractIntroductionThe complete bilateral cleft lip and palate (BCLP) divides the maxillary arch into three segments, separated from each other, resulting in abnormal growth of the alveolar arch. This study evaluated the maxillary arch dimensions in BCLP and compared them with neonates without craniofacial anomalies.MethodsThis retrospective study was conducted in a tertiary cleft centre. Sixty‐six neonates aged 0–5 months were divided into two groups: cleft group—children with BCLP (23 boys and 18 girls) and control group—children without craniofacial deformities (15 boys and 10 girls). The dental models were processed by a 3D scanner. Landmarks were marked to achieve inter‐canine distance, inter‐tuberosity distance and arch length measurements. t‐Tests were used for intergroup comparisons (p < .05).ResultsThe maxillary cleft arch was demonstrated to be wider and longer in the posterior region compared to the control group. The inter‐canine distance did not present differences between the cleft and controls. The inter‐canine distance of the control group was the only measurement influenced by the variable sex.ConclusionsThe cleft significantly interfered with the arch posterior width and arch sagittal length, making them larger. There was no statistical difference in the measurements between sex in the cleft group.
Aerial low‐altitude remote sensing and deep learning for in‐field disease incidence scoring of virus yellows in sugar beet
Authors: Okole Nathan , Ispizua Yamati Facundo R. , Hossain Roxana , Varrelmann Mark , Mahlein Anne‐Katrin , Heim Rene H. J. 
Published: July 2024

AbstractThis study investigates the potential of high‐resolution (<0.5 cm/pixel) aerial imagery and convolutional neural networks (CNNs) for disease incidence scoring in sugar beet, focusing on two important aphid‐transmitted viruses, beet mild yellowing virus (BMYV) and beet chlorosis virus (BChV). The development of tolerant sugar beet cultivars is imperative in the context of increased disease management concerns due to the ban on neonicotinoids in the European Union. However, traditional methods of disease phenotyping, which rely on visual assessment by human experts, are both time‐consuming and subjective. Therefore, this study assessed whether aerial multispectral and RGB images could be harnessed to perform automated disease ratings comparable to those performed by trained experts. To this end, two variety trials were conducted in 2021 and 2022. The 2021 dataset was used to train and validate a CNN model on five cultivars, while the 2022 dataset was used to test the model on two cultivars different from those used in 2021. Additionally, this study tests the use of transformed features instead of raw spectral bands to improve the generalization of CNN models. The results showed that the best CNN model was the one trained for BMYV on RGB images using transformed features instead of conventional raw bands. This model achieved a root mean square error score of 11.45% between the model and expert scores. These results indicate that while high‐resolution aerial imagery and CNNs hold great promise, a complete replacement of human expertise is not yet possible. This research contributes to an innovative approach to disease phenotyping, driving advances in sustainable agriculture and crop breeding.