bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vulnerability and academic burnout in the university context: Interaction events, social exchanges, and resilience behaviours
Authors: Figueiredo Sandra , Ferreira Sofia 
Published: July 2024

AbstractThis study focuses on how levels of burnout impact on the quality of sleep and academic performance of university students. Previous research has found limited evidence on the prevalence of burnout in university students, in addition to the relationship between exhaustion behaviours and sleep quality. The social exchange theory (SET) is important for understanding how the various actors in that context behave and with what effect on their social exchanges, here, specifically, verifying academic burnout and its perception by students and institutions themselves. Research has not sufficiently addressed the examination of burnout and forms of coping in that context. The data for this study were collected during the 2023 academic year, through an online survey, from 311 Portuguese university students from different undergraduate courses, without children and without student‐worker status, aged between 18 and 38 (M = 21.58 and DP = 3.20). The results showed a high‐negative correlation between burnout and sleep quality in university students with a direct impact on academic performance (burnout rates and poor sleep quality are associated with low academic performance scores, regardless of the course attended). This research and its results make a contribution that directs the management of university and specifically of courses towards a greater awareness of the existence of burnout and well‐complied sleep schedules by students. Given the evidence that there is a deficit in sleep quality caused by burnout in university students, resilience in this context is one of the aspects that deserve further research, in order to prevent burnout, poor sleep quality, and consequently, control of academic grades.
Plum protein isolate‐caffeic acid conjugate as bioactive emulsifier: functional properties and bioavailability
Authors: Vujetić Jelena , Fraj Jadranka , Milinković Budinčić Jelena , Popović Senka , Đorđević Tatjana , Stolić Žužana , Popović Ljiljana 
Published: July 2024

SummaryPlum protein isolate obtained from plum cake after oil extraction had protein content over 90% and amino acid composition of 36% which about 13% were essential amino acids. Evaluation of functional properties of conjugates obtained by interaction between plum protein isolate and caffeic acid, in three different concentrations, was carried out in this study. The conjugation of proteins with phenols forms complexes of higher molecular weights as a result of cross‐linking. The solubility of obtained conjugates was increased with the increase a concentration of caffeic acid at alkaline pH (8–10) for about 50%. Moreover, emulsion properties also were improved by conjugation with caffeic acid. In vitro digestion is considered to characterise and understand ‘fate’ of food components after passing gastrointestinal conditions. The obtained conjugates were digestible and have a good bioavailability of bioactive compounds.
Psychosocial Care Delivery in Intensive Home Treatment During a Mental Health Crisis: A Qualitative Thematic Analysis
Authors: Clibbens Nicola , Close Adrianne , Poxton Julie , Davies Carly , Geary Lesley , Dickens Geoffrey 
Published: July 2024

ABSTRACTCommunity‐based intensive home treatment (IHT) is delivered as an alternative to psychiatric hospital admission as part of crisis resolution services. People receiving IHT present with complex mental health issues and are acutely distressed. Home treatment options are often preferred and there is evidence of service fidelity, although less is known about psychosocial care in this setting. Underpinned by a critical realist epistemology, this study aimed to explore psychosocial care in the context of home treatment from the perspectives of staff, service users and family carers. Data were collected using individual interviews and focus groups in two NHS organisations in England. An inductive qualitative thematic analysis resulted in five themes focused on (1) the staffing model and effective care provision, (2) the organisation of work and effective care provision, (3) skills and training and service user need, (4) opportunities for involvement and personal choice, and (5) effective communication. Findings suggest that co‐production may improve congruence between IHT service design, what service users and carers want and staff ideals about optimal care. Service designs that optimise continuity of care and effective communication were advocated. Staff training in therapeutic interventions was limited by not being tailored to the home treatment context. Evidence gaps remain regarding the most effective psychosocial care and related training and supervision required. There is also a lack of clarity about how carers and family members ought to be supported given their often‐crucial role in supporting the person between staff visits.
Unveiling the heart of disaster nursing: A qualitative study on motivations, challenges, and lessons from the devastating 2023 Turkey earthquakes
Authors: Mert Ibrahim Sani , Koksal Kemal 
Published: July 2024

AbstractBackgroundTurkey has faced a notable escalation in earthquake disasters in the last two decades. Despite initiating a health and disaster management system, nurses' pivotal roles and experiences in handling such crises have been disregarded.AimThis qualitative study analyzed nurses' experiences before, during, and after deployment in response to the 2023 Turkey earthquakes to enhance disaster‐response efforts.MethodsThis descriptive qualitative study was conducted between March and May 2023 using semistructured interviews with 15 nurses purposively sampled among those who volunteered to work in the earthquake zone. The MIRACLE and COREQ guidelines were followed for reporting qualitative research.FindingsThe analysis exposed five main themes for pre‐tasking: moral obligation, motivation, insufficient experience, balancing responsibilities, and preparation challenges. The peri‐task themes include responsibilities, skills, bravery and characteristics, workload management, teamwork, and outcomes. Post‐tasking has three themes: competence assessment, career goals and aspirations, and support. Training and coping with anxiety and stress are common themes for all phases.ConclusionsDisaster relief requires a comprehensive and coordinated response from healthcare organizations, government agencies, and support systems. Providing adequate training, ensuring safety protocols, offering mental health support, and fostering a fair and supportive work environment are crucial steps in mitigating the adverse effects on nurses and, by extension, the patient care process in earthquake‐affected areas.Implications for nursing and health policyNurse training in disaster preparedness should cover various response methods and involve multiple disciplines. Managers can help by arranging drills, simulations, online courses, and workshops and promoting partnerships for improved collaboration. Psychological support should be included to address emotional challenges. Regularly updating response policies based on past experiences is crucial for preparedness and efficiency.
Summary characteristics for multivariate function‐valued spatial point process attributes
Authors: Eckardt Matthias , Comas Carles , Mateu Jorge 
Published: July 2024

SummaryPrompted by modern technologies in data acquisition, the statistical analysis of spatially distributed function‐valued quantities has attracted a lot of attention in recent years. In particular, combinations of functional variables and spatial point processes yield a highly challenging instance of such modern spatial data applications. Indeed, the analysis of spatial random point configurations, where the point attributes themselves are functions rather than scalar‐valued quantities, is just in its infancy, and extensions to function‐valued quantities still remain limited. In this view, we extend current existing first‐ and second‐order summary characteristics for real‐valued point attributes to the case where, in addition to every spatial point location, a set of distinct function‐valued quantities are available. Providing a flexible treatment of more complex point process scenarios, we build a framework to consider points with multivariate function‐valued marks, and develop sets of different cross‐function (cross‐type and also multi‐function cross‐type) versions of summary characteristics that allow for the analysis of highly demanding modern spatial point process scenarios. We consider estimators of the theoretical tools and analyse their behaviour through a simulation study and two real data applications.
Educational policy as predictor of computational thinking: A supervised machine learning approach
Authors: Ezeamuzie Ndudi O. , Leung Jessica S. C. , Fung Dennis C. L. , Ezeamuzie Mercy N. 
Published: July 2024

AbstractBackgroundComputational thinking is derived from arguments that the underlying practices in computer science augment problem‐solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational policies on computational thinking remains unclear.ObjectivesThis study examines the impact of basic and technology‐related educational policies on the development of computational thinking.MethodsUsing supervised machine learning, the computational thinking achievements of 31,823 eighth graders across nine countries were analysed. Seven rule‐based and tree‐based classification models were generated and triangulated to determine how educational policies predicted students' computational thinking.Results and conclusionsPredictions show that students have a higher propensity to develop computational thinking skills when schools exercise full autonomy in governance and explicitly embed computational thinking in their curriculum. Plans to support students, teachers and schools with technology or introduce 1:1 computing have no discernible predicted influence on students' computational thinking achievement.ImplicationsAlthough predictions deduced from these attributes are not generalizable, traces of how educational policies affect computational thinking exist to articulate more fronts for future research on the influence of educational policies on computational thinking.
Clinical characteristics of primary aldosteronism screened from Chinese patients with hypertension: The China primary aldosteronism prospective study
Authors: Hu Zhe , Chen Xin , Cheng Yi‐Bang , Zhong Ping , Li Qing‐An , Zhao Yu , Luan Hong , Ren Jie , Chen Gai‐Ling , Wang Ji‐Guang 
Published: July 2024

AbstractWe investigated the clinical characteristics of primary aldosteronism (PA) screened from patients with hypertension in China. The participants were hypertensive patients who were suspected of PA and registered in the China Primary Aldosteronism Prospective Study. Plasma aldosterone‐to‐renin ratio (ARR) was used as the screening test. In patients screened positive for PA, that is, an ARR exceeding the thresholds and plasma aldosterone concentration (PAC) > 100 pg/mL, a confirmatory test was performed for diagnosis. Patients with PA underwent a CT scan and adrenal venous sampling for subtyping. Of the 1497 screened patients, 754 (50.4%) had an ARR exceeding the diagnostic threshold and 637 (84.5% of those eligible) were registered. These registered hypertensive patients with suspected PA had a mean (standard deviation) age of 52.6 ± 12.1 years, and included 442 (58.6%) women. In multiple stepwise logistic regression, the significant odds ratios for the presence of diagnosed (n = 490) versus suspected and non‐diagnosed PA (n = 147) were 4.54 (95% CI: 2.78‐7.39) for a history of hypokalemia, 0.79 (95% CI: 0.64‐0.98) for a 0.9 mmol/l higher serum total cholesterol, and 2.25 (95% CI: 1.63‐3.10) for a doubling of PAC in the supine or standing/sitting position. In multiple stepwise logistic regression, the significant odds ratios for the presence of unilateral (n = 135) versus bilateral PA (n = 53) were 3.04 (95% CI: 1.90‐4.87) for a 0.4 mmol/l lower minimum serum potassium concentration and 1.86 (95% CI: 1.20‐2.86) for a 0.3 mmol/l higher serum high‐density lipoprotein cholesterol. PA might be a biochemical continuum in the adrenal hypersecretion of aldosterone as well as hypokalemia.
The European Union's Global Health Actorness: A Research Agenda for a New Age of Pandemics
Authors: Fernández Óscar 
Published: July 2024

AbstractWhilst the European Union's (EU's) response to health emergencies has historically been subpar, some suggest that it emerged from COVID‐19 as a stronger global health actor. This prompts two interrelated questions: how have International Relations scholars conceptualised and assessed EU ‘actorness’ in the all‐too‐often neglected field of global health, and what adjustments are required in anticipation of a potential new age of pandemics? This article revisits the longstanding notion of ‘actorness’ and dissects the few studies that apply it systematically to analyse the EU's role in global health. After identifying some key shortcomings in the literature, the article formulates a research agenda suitable for the complex and high‐stakes nature of contemporary global health endeavours. By further adapting the concept of ‘actorness’ to a multifaceted EU external action as well as to an increasingly intricate global governance architecture, this research agenda contributes to the broader scholarship on the EU's international outreach.
Bioinsecticidal potential of rose essential oil against the cowpea beetle, Callosobruchus maculatus (Fabricius) (Coleoptera: Chrysomelidae)
Authors: Aslan Ebru Gül , Ulusoy Seyhan , Kınaytürk Neslihan Kaya , Sarıçam Tuğba , Periz Çağdaş Deniz 
Published: July 2024

AbstractCallosobruchus maculatus (Fabricius), also known as the cowpea beetle or pulse beetle, is the most important pest of stored cowpea. The beetle causes both qualitative and quantitative losses in the grains, all of which result in low crop yields. The objective of this work was to investigate the insecticidal effect of rose essential oil (REO) on adult Callosobruchus maculatus in terms of mortality and oviposition. In addition, the viable mesophilic aerobic bacteria of C. maculatus were evaluated, and surface molecular electrostatic potential (MEP) maps were examined to determine the interaction domains of the bioactive components of REO. The interaction mechanism between the AChE enzyme (PDB ID: 6XXY, 4EY6, 4EY7 and 6O4W) and the REO components was investigated using the molecular docking method. The highest mortality of 92.40 ± 0.03% was obtained at 16 μL within 72 h of exposure. Higher concentrations of the essential oil decreased the laying performance of C. maculatus. A significant decrease of 91.33% in the number of eggs laid was observed. Gas chromatography–mass spectrometry (GC/MS) results showed that the major constituents of Rosa damascena Miller essential oil (REO) were citronellol (46.15%), geraniol (16.19%), nonadecane (8.80%) and nerol (7.43%). Treatments of 4, 8, 12 and 16 μL of REO significantly reduced the viable mesophilic aerobic bacteria of C. maculatus samples compared with the control. It was found that the most effective binding was between the REO components and the 4EY7 protein, with binding energies ranging from −6.9 to −8.9 kcal/mol. Although the major component of REO was citronellol (46.15%), the best interaction was observed with farnesol isomer B (0.80%). Overall, these results suggest that REO has the potential to control C. maculatus as an environmentally friendly alternative to synthetic pesticides.
Exploration of plasma‐activated water (PAW) as a cleaning‐in‐place (CIP) solution for fouling removal and microbial reduction
Authors: Shah Urvi , Rivero W. C. , Wang Qingyang , Zheng Haotian , Salvi Deepti 
Published: July 2024

AbstractThe rapid fouling and bacterial contamination of equipment, heat exchangers, and pipelines are major concerns in food manufacturing plants. The process of cleaning‐in‐place (CIP) in the food manufacturing industry involves hazardous chemicals such as sulfuric acid, chlorine, sodium hydroxide, and potassium hydroxide. This study aims to investigate the cleaning efficiency of a novel environment‐friendly solution, plasma‐activated water (PAW), for removing dairy and plant‐based fouling and for biofilm reduction. PAW was produced by exposing water to plasma, which is a partially ionized gas generated by applying electricity to air. PAW prepared in this study had a pH, electrical conductivity (EC), and oxidation–reduction potential (ORP) of 2.5 ± 0.1, 1170. 1 ± 202.2 μS/cm, and 589.0 ± 2.4 mV, respectively. Holding PAW at different temperatures (20–75°C) did not change pH, ORP, and EC significantly, while nitrite and nitrate concentrations in PAW did not show a consistent trend with temperature. The treatment time and temperature of PAW were optimized for cleaning fouled coupons (stainless‐steel type 304 and 316) using model fouling fluids (MFF) with dairy (whey) and plant‐based (oat) proteins using full‐factorial design. The optimized PAW combinations (15 min/75°C and 5 min/75°C) were found to be as effective for fouling removal as compared to CIP controls (conventional caustic and acid solutions). Optimized PAW also showed significant biofilm reduction of Listeria innocua on stainless‐steel coupons with/without fouling, with at least 4.4 log and 4.0 log reductions in L. innocua biofilms when attached to MFF‐whey and MFF‐oat, respectively.Practical applicationsPlasma‐activated water (PAW) can inactivate a wide spectrum of microorganisms on various food and food contact surfaces. We propose the use of environment‐friendly plasma‐activated water (PAW), which can be prepared on‐site and on‐demand for cleaning‐in‐place (CIP) operations in the food industry. The results of this study suggest the potential of PAW as a promising CIP alternative for cleaning and sanitizing surfaces soiled by fouling deposits in dairy and plant‐based industries.
Lingual neoplasia in nonhuman primates: Description of five cases and a literature review
Authors: Berrocal Alexis , Vail Krystal , Gonzalez Olga , Shivanna Vinay , Dick Edward J. , Watanabe Tatiane Terumi Negrão , Murillo Daniel Felipe Barrantes 
Published: July 2024

AbstractBackgroundDocumentation of lingual tumors is scarce in nonhuman primates.MethodsThrough a multi‐institutional retrospective study we compile cases of primary and metastatic neoplasia in non‐human primates.ResultsWe describe five cases of lingual neoplasia. Three cases are primary lingual tumors: chondro‐osteoblastic lipoma in a howler monkey, squamous cell carcinoma, and fibroma in two baboons. We describe two cases of metastatic lymphoma in the tongue in rhesus macaques. A literature review of published lingual neoplasia in nonhuman primates is included in this manuscript.ConclusionLingual neoplasia is seldom reported in non‐human primates.
Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta‐analysis
Authors: Dagher Richard , Ozkara Burak Berksu , Karabacak Mert , Dagher Samir A. , Rumbaut Elijah Isaac , Luna Licia P. , Yedavalli Vivek S. , Wintermark Max 
Published: July 2024

AbstractBackground and PurposeEarly and reliable prediction of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) is crucial for treatment decisions and early intervention. The purpose of this study was to conduct a systematic review and meta‐analysis on the performance of artificial intelligence (AI) and machine learning (ML) models that utilize neuroimaging to predict HT.MethodsA systematic search of PubMed, EMBASE, and Web of Science was conducted until February 19, 2024. Inclusion criteria were as follows: patients with AIS who received reperfusion therapy; AI/ML algorithm using imaging to predict HT; or presence of sufficient data on the predictive performance. Exclusion criteria were as follows: articles with less than 20 patients; articles lacking algorithms that operate solely on images; or articles not detailing the algorithm used. The quality of eligible studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies‐2 and Checklist for Artificial Intelligence in Medical Imaging. Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated using a random‐effects model, and a summary receiver operating characteristic curve was constructed using the Reitsma method.ResultsWe identified six eligible studies, which included 1640 patients. Aside from an unclear risk of bias regarding flow and timing identified in two of the studies, all studies showed low risk of bias and applicability concerns in all categories. Pooled sensitivity, specificity, and DOR were .849, .878, and 45.598, respectively.ConclusionAI/ML models can reliably predict the occurrence of HT in AIS patients. More prospective studies are needed for subgroup analyses and higher clinical certainty and usefulness.
Which compartments of the optic nerve and its sheath are associated with intracranial pressure? An exploratory study
Authors: Pansell Jakob , Bottai Matteo , Bell Max , Rudberg Peter C. , Friman Ola , Cooray Charith 
Published: July 2024

AbstractBackground and PurposeThe optic nerve sheath diameter (ONSD) is a commonly used estimate of intracranial pressure (ICP). The rationale behind this is that pressure changes in the cerebrospinal fluid affect the optic nerve subarachnoid space (ONSAS) thickness. Still, possible effects on other compartments of the optic nerve sheath (ONS) have not been studied. This is the first study ever to analyze all measurable compartments of the ONS for associations with elevated ICP.MethodsWe measured changes in ICP and changes in ONS compartments in 75 patients treated with invasive ICP monitoring at the Karolinska University Hospital. Associations between changes in ICP and changes in ONS compartments were estimated with generalized estimating equations. The potential to identify elevated ICP was assessed with the area under the receiver operating characteristic curve (AUROC) for ONS compartments associated with ICP changes.ResultsBoth ONSAS and perioptic dura mater thickness were significantly associated with changes in ICP in multivariable modeling. ONSAS was the only compartment that independently predicted changes in ICP, with an AUROC of 0.69 for predicting ICP increase. Still, both the perioptic dura mater thickness and the optic nerve diameter added value in predicting ICP changes in multivariable modeling.ConclusionsThe results from this study challenge the current understanding of the mechanism behind the association between ICP and ONSD. Contrary to the common opinion that ONSAS is the only affected compartment, this study shows a more complex picture. It suggests that all ONS compartments may add value in predicting changes in ICP.