bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient care, integration and collaboration of physician associates in multiprofessional teams: A mixed methods study
Authors: Wilsher Stephanie Howard , Gibbs Audrey , Reed Joanne , Baker Rebecca , Lindqvist Susanne 
Published: February 2023

AbstractAimsThe aim of the study was to explore the physician associate role in patient care, integration and collaboration with team members, within the hospital setting.DesignConvergent mixed methods case study design.MethodsQuestionnaires with some open‐ended questions and semi‐structured interviews were analysed with descriptive statistics and thematic analysis.ResultsParticipants included 12 physician associates, 31 health professionals and 14 patients/relatives. Physician associates provide effective, safe and, importantly, continuity of care and patients received patient‐centred care. Integration into teams was variable, and there was a lack of knowledge about the physician associate role amongst staff and patients. Views towards physician associates were mostly positive, but support for physician associates differed across the three hospitals.ConclusionThis study further consolidates the role of physician associates to multiprofessional teams and patient care and emphasises the importance of providing support to individuals and teams when integrating new professions. Interprofessional learning throughout healthcare careers can develop interprofessional working within multiprofessional teams.ImpactLeaders in healthcare will see that clarity about the role of physician associates must be given to staff members and patients. Employers and team members will see the need to properly integrate new professions and team members within the workplace and to enhance professional identities. The research will also impact on educational establishments to provide more interprofessional training.Patient and Public InvolvementThere is no patient and public involvement.
Anxiety subtypes in rural ischaemic stroke survivors: A latent profile analysis
Authors: Zhang Huimin , Ma Junyan , Sun Yuyan , Xiao Lily Dongxia , Yan Fang , Tang Siyuan 
Published: February 2023

AbstractAimTo determine the potential profile classes of anxiety reported by ischaemic stroke survivors in rural China, and to explore the characteristics of patients having different types of post‐stroke anxiety.DesignA cross‐sectional survey.MethodsA cross‐sectional survey was conducted by using convenience sampling to collect data from 661 ischaemic stroke survivors in rural Anyang city, Henan Province, China, from July 2021 to September 2021. The parameters included in the study were the socio‐demographic characteristics, self‐rating anxiety scale (SAS), self‐rating depression scale (SDS) and the Barthel index of daily activity ability. Potential profile analysis was done to recognize subgroups of post‐stroke anxiety. The Chi‐square test was performed to explore the characteristics of individuals with different types of post‐stroke anxiety.ResultsThe model fitting indices of stroke survivors supported three classes of anxiety models which were as follows: (a) Class 1, low‐level, stable group (65.3%, N = 431); (b) Class 2, moderate‐level, unstable group (17.9%, N = 118) and (c) Class 3, high‐level, stable group (16.9%, N = 112). The risk factors associated with post‐stroke anxiety were female patients, lower levels of education, living alone, lower monthly household income, other chronic diseases, impaired daily activity ability and depression.ConclusionsThis study identified three different subgroups of post‐ischaemic stroke anxiety and their characteristics in patients in rural China.ImpactThis study has significance in providing evidence for the development of targeted intervention measures to reduce negative emotions in different subgroups of post‐stroke anxiety patients.Patient or Public ContributionIn this study, the researchers arranged the time of questionnaire collection with the village committee in advance, gathered the patients to the village committee for face‐to‐face questionnaire survey and collected the household data of the patients with mobility difficulties.
Association between negative psychology and sleep quality in dialysis patients during the COVID‐19 pandemic
Authors: Huang Liuyan , Zhang Fan , Zhu Rong , Wang Liya , Zhang Yue , Zhang Huachun , Zhong Yifei 
Published: February 2023

AbstractAims and ObjectivesThe aim of this study was to assess the sleep quality in dialysis patients during the COVID‐19 epidemic and explore the association between negative psychology (including depression, anxiety, and stress) and sleep quality in this population.DesignA cross‐sectional study including three centres.Methods (Patients or Public Contribution)This cross‐sectional study included 378 dialysis patients from April to May 2022 in three dialysis centres in Shanghai. Methods. Depression, anxiety, stress, and sleep quality were measured by the Hospital Anxiety and Depression Scale (HADS), Perceived Stress Scale‐14 (PSS‐14), and Pittsburgh sleep quality index (PSQI), respectively. With a threshold of 5 to classify participants into good and poor sleep quality, with HADS/PSS‐14 scores as independent variables (per standard deviation (SD) increment), respectively and binary Logistic regression model was constructed to explore the association between the three negative psychological aspects of depression, anxiety, and stress and sleep quality.ResultsThe median PSQI score was 11.0 (mean ± SD: 11.8 ± 4.8). Among them, poor sleep quality (i.e., PSQI >5) was reported by 90.2% of participants. After adjusting for sociodemographic and disease‐related information, HADS‐depression was associated with a significant 49% (odds ratio (OR): 1.49; 95% CI 1.02–2.18) increase in the risk of poor sleep quality for each additional SD (2.4). Correspondingly, for each SD (7.1) increase in PSS‐14, the risk of poor sleep quality was significantly increased by 95% (OR: 1.95; 95% CI 1.35–2.82).ConclusionDuring the COVID‐19 pandemic, there was a significant negative association between negative psychology, such as depression and stress, and sleep quality in dialysis patients, and this relationship was independent of the dialysis modality.Relevance to Clinical PracticeIn the context of the rampant COVID‐19, the vast majority of dialysis‐dependent chronic kidney disease presents with severe sleep quality problems, and negative psychology is a potential influencing factor.
The role of status, diets, and mobility in understanding the impacts of urbanization in early medieval Bergen, Norway (St. Mary's Church): Insights from stable isotope analyses
Authors: Dolphin Alexis E. , Teeter Mathew A. , Szpak Paul 
Published: February 2023

AbstractThis research examines the diets and mobility of higher status individuals buried in the St. Mary's (Mariakirken) churchyard (1140 and 1248 AD), located in Bergen, Norway. Stable isotope data are used to explore the role that diets (preferential access, choice of foods) may have played in mitigating the negative impacts of rapid urbanization. Dietary reconstruction involved analysis of carbon (δ13C) and nitrogen (δ15N) stable isotope ratios from paired bone and tooth samples from St. Mary's individuals (N = 25). Oxygen isotope ratios (δ18O) were derived from analyses of tooth enamel carbonate to comment on individuals' origins and mobility (N = 26). Individualδ13C andδ15N collagen values indicate that St. Mary's individuals consumed variable diets, with some relying on marine animal protein almost exclusively, while others primarily consumed C3plants or animals that consumed C3plants as the main source of their dietary protein.δ18O ratios showed that some individuals originated outside of Bergen. Thus, the stable isotope evidence (δ13C andδ15N) indicates that diets of St. Mary's individuals were more varied, and in some cases, relied primarily on imported trade goods such as grain/grain fed animals, and marine resources. This reinforces the view that St. Mary's represented an affluent segment of the growing Bergen population, and that its members were heavily involved in trade. Oxygen isotopes show that some individuals spent time living outside of Bergen during childhood. These data suggest that diets were more variable within the St. Mary's sample than at contemporary Norwegian sites, and that the process of urbanization did not impact the people of Bergen in a unified way.
Liver insulin‐like growth factor‐1 mediates effects of low‐intensity vibration on wound healing in diabetic mice
Authors: Roberts Rita E , Cavalcante‐Silva Jacqueline , Del Rio‐Moreno Mercedes , Bilgen Onur , Kineman Rhonda D , Koh Timothy J 
Published: February 2023

AbstractChronic wounds in diabetic patients are associated with significant morbidity and mortality; however, few therapies are available to improve healing of diabetic wounds. Our group previously reported that low‐intensity vibration (LIV) could improve angiogenesis and wound healing in diabetic mice. The purpose of this study was to begin to elucidate the mechanisms underlying LIV‐enhanced healing. We first demonstrate that LIV‐enhanced wound healing in db/db mice is associated with increased IGF1 protein levels in liver, blood, and wounds. The increase in insulin‐like growth factor (IGF) 1 protein in wounds is associated with increased Igf1 mRNA expression both in liver and wounds, but the increase in protein levels preceded the increase in mRNA expression in wounds. Since our previous study demonstrated that liver was a primary source of IGF1 in skin wounds, we used inducible ablation of IGF1 in the liver of high‐fat diet (HFD)‐fed mice to determine whether liver IGF1 mediated the effects of LIV on wound healing. We demonstrate that knockdown of IGF1 in liver blunts LIV‐induced improvements in wound healing in HFD‐fed mice, particularly increased angiogenesis and granulation tissue formation, and inhibits the resolution of inflammation. This and our previous studies indicate that LIV may promote skin wound healing at least in part via crosstalk between the liver and wound. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Fluorescent nano‐particles prepared by eATRP combined with self‐assembly imprinting technology
Authors: Yan Liu , Xu Lan 
Published: February 2023

AbstractA novel amphiphilic photoreactive block copolymer was synthesized by electrochemically mediated atom transfer radical polymerization (eATRP) of glycidyl methacrylate (GMA), N‐vinyl carbazole (VK) with polyethylene glycol‐based initiator (PEG‐Br). And then the double bond and the boric acid group were introduced through the epoxy group. Fluorescent molecularly imprinted nanoparticles (nano‐FMIPs) were prepared using self‐assembly imprinting technology with PEG‐b‐P(GMA‐co‐VK) as a functional monomer and sialic acid (SA) as a template molecule. The nano‐FMIPs prepared by this method have the advantages of uniform size and small particle size, which greatly improves their recognition performance. It is found that the SA template can significantly quench the fluorescence intensity of nano‐FMIPs linearly within a concentration range of 4 × 10−4–4 × 10−6 mol L−1, which is well described by Stern–Volmer equation. The nano‐FMIPs can selectively and sensitively detect down to 2.9 μM of SA concentration. This study provides a new and general strategy for the preparation of nano‐MIPs with high selective recognition ability in aqueous media, which has good application prospects in biomedicine.
Synthesis and characterization of sulfonated polytriazoles utilizing 1,4‐bis(4‐azido‐2‐(trifluoromethyl)phenoxy)benzene for the proton exchange membrane applications
Authors: Ghanti Bholanath , Kamble Riddhi , Roy Sambit , Banerjee Susanta 
Published: February 2023

AbstractThe aromatic hydrocarbon‐based sulfonated polytriazoles have a reputation as a high‐performing polymer because of their excellent properties. This work demonstrates the synthesis of a new semi‐fluorinated diazide monomer, that is, 1,4‐bis(4‐azido‐2‐(trifluoromethyl)phenoxy)benzene (BATFB), and exploiting this compound a series of aromatic hydrocarbon‐based semi‐fluorinated sulfonated polytriazoles (BABPSSH‐60, −70, −80, −90) was synthesized utilizing the Cu(I)‐induced “click” cycloaddition polymerization reaction along with the sulfonated diazide monomer, 4,4′‐diazido‐2,2′‐stilbenesulfonic acid disodium salt tetrahydrate (DASSA) and the terminal dialkyne monomer, 4,4′‐(propane‐2,2′‐diyl)bis((prop‐2‐ynyloxy)benzene) (BPAAL). The structural analysis of those copolymers was completed by the FTIR and the NMR (1H and 13C) spectroscopic methods. Further, the degree of sulfonation (DS) and the ion exchange capacity (IEC) values of the copolymers were confirmed using the 1H NMR spectrums. They are readily soluble in respective solvents, and a light yellowish membrane was obtained using the solution casting procedure. These membranes demonstrated admissible mechanical and thermal stabilities, balanced water absorption properties, and reasonable chemical stability. The surface phase (SAXS, AFM) and bulk phase (TEM) morphological analysis proved the well‐separated phase morphology. The BABPSSH‐90 displayed a proton conductivity of 104 mS cm−1 at 90.
Self‐consistent modeling of the flow‐chemistry interplay in supersonically expanding CO2 mixtures; positive feedback of flow properties in supporting dissociation
Authors: Khaji Maryam , Degrez Gérard , van der Mullen Joost 
Published: February 2023

AbstractA self‐consistent model giving insights on the flow‐chemistry interplay in supersonic nozzles is presented. It is shown that the change of flow properties, caused by dissociation, enhances the cooling potential. This results in positive feedback boosting the dissociation. The focus of this study is on the second stage of a tandem‐construction, that is, the expanding afterglow. The first stage of activating the vibrational states can be done by combustion or a plasma treatment. The expansion in the second stage triggers the vibrational‐vibrational ladder‐climbing mechanism favorable for dissociation. It is seen that an additional dissociation can be obtained by adding Ar before the expansion. Two different model types are used: a self‐consistent full‐numerical model and a fast semi‐analytical approach of acceptable accuracy.
Feasibility and preliminary clinical tolerability of low‐field MRI‐guided prostate biopsy
Authors: Sze Christina , Singh Zorawar , Punyala Ananth , Satya Poorvi , Sadinski Molly , Narayan Ramkrishnan , Nacev Aleksander , Kumar Dinesh , Adams John , Nicholas Kathryn , Margolis Daniel , Chughtai Bilal 
Published: February 2023

AbstractObjectiveWe evaluate the clinical feasibility of a portable, low‐field magnetic resonance imaging (MRI) system for prostate cancer (PCa) biopsy.MethodsA retrospective analysis of men who underwent a 12‐core systematic transrectal ultrasound‐guided prostate biopsy (SB) and a low‐field MRI guided transperineal targeted biopsy (MRI‐TB). Comparison of the detection of clinically significant PCa (csPCa) (Gleason Grade [GG] ≥ 2) by SB and low field MRI‐TB, stratified by Prostate Imaging Reporting & Data System (PI‐RADS) score, prostate volume, and prostate serum antigen (PSA) was performed.ResultsA total of 39 men underwent both the MRI‐TB and SB biopsy. Median (interquartile range [IQR]) age was 69.0 (61.5−73) years, body mass index (BMI) was 28.9 kg/m2 (25.3–34.3), prostate volume was 46.5 cc (32−72.7), and PSA was 9.5 ng/ml (5.5−13.2). The majority (64.4%) of patients had PI‐RADS ≥ 4 lesions and 25% of lesions were anterior on pre‐biopsy MRII. Cancer detection rate (CDR) was greatest when combining SB and MRI‐TB (64.1%). MRI‐TB detected 74.3% (29/39) cancers. Of which, 53.8% (21/39) were csPCa while SB detected 42.5% (17/39) csPCa (p = 0.21). In 32.5% (13/39) of cases, MRI‐TB upstaged the final diagnosis, compared to 15% (6/39) of cases in which SB upstaged the final diagnosis (p = 0.11).ConclusionLow‐field MRI‐TB is clinically feasible. Although future studies on the accuracy of MRI‐TB system are needed, the initial CDR is comparable to those seen with fusion‐based prostate biopsies. A transperineal and targeted approach may be beneficial in patients with higher BMI and anterior lesions.
Proportionality principle revisited – relationship between application rates and pesticide residue concentrations in food commodities
Authors: Gloe Dominik , Mielke Hans , Müller‐Graf Christine , Sieke Christian 
Published: February 2023

AbstractBACKGROUNDThe proportionality principle has been broadly used for over 10 years in regulatory assessments of pesticide residues. It allows extrapolation of supervised field trial data conducted at lower or higher application rates compared to the use pattern under evaluation by adjustment of measured concentrations, assuming direct proportionality between the rates applied and the resulting residues. This work revisits the principle idea by using supervised residue trials sets conducted under identical conditions but with deviating application rates. Four different statistical methods were used to investigate the relationship between application rates and residue concentrations and to draw conclusions on the statistical significance of the direct proportionality assumed.RESULTSBased on over 5000 individual trial results, the assumption of direct proportionality was not confirmed to be statistically significant (P > 0.05) using three models: direct comparison of application rates and residue concentrations ratios and two linear log‐log regression models correlating application rate and residue concentration or only residue concentrations per se. In addition, a fourth model analysed deviations between expected concentrations following direct proportional adjustment and measured residue values from corresponding field trials. In 56% of all cases, the deviation was larger than ±25%, which represents the tolerance usually accepted for the selection of supervised field trials in regulatory assessments.CONCLUSIONOverall, the assumption of direct proportionality between application rates and resulting residue concentrations of pesticides was not statistically significant. Although the proportionality approach is highly pragmatic in regulatory practice, its use should be considered carefully on a case‐by‐case basis. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Targeting SELPLG/P‐selectin glycoprotein ligand 1 in preclinical ARDS: Genetic and epigenetic regulation of the SELPLG promoter
Authors: Sun Xiaoguang , Sammani Saad , Hufford Matthew , Sun Belinda L. , Kempf Carrie L. , Camp Sara M. , Garcia Joe G. N. , Bime Christian 
Published: February 2023

AbstractWe previously identified a missense single nucleotide polymorphism rs2228315 (G>A, Met62Ile) in the selectin‐P‐ligand gene (SELPLG), encoding P‐selectin glycoprotein ligand 1 (PSGL‐1), to be associated with increased susceptibility to acute respiratory distress syndrome (ARDS). These earlier studies demonstrated that SELPLG lung tissue expression was increased in mice exposed to lipopolysaccharide (LPS)‐ and ventilator‐induced lung injury (VILI) suggesting that inflammatory and epigenetic factors regulate SELPLG promoter activity and transcription. In this report, we used a novel recombinant tandem PSGL1 immunoglobulin fusion molecule (TSGL‐Ig), a competitive inhibitor of PSGL1/P‐selectin interactions, to demonstrate significant TSGL‐Ig‐mediated decreases in SELPLG lung tissue expression as well as highly significant protection from LPS‐ and VILI‐induced lung injury. In vitro studies examined the effects of key ARDS stimuli (LPS, 18% cyclic stretch to simulate VILI) on SELPLG promoter activity and showed LPS‐mediated increases in SELPLG promoter activity and identified putative promoter regions associated with increased SELPLG expression. SELPLG promoter activity was strongly regulated by the key hypoxia‐inducible transcription factors, HIF‐1α, and HIF‐2α as well as NRF2. Finally, the transcriptional regulation of SELPLG promoter by ARDS stimuli and the effect of DNA methylation on SELPLG expression in endothelial cell was confirmed. These findings indicate SELPLG transcriptional regulation by clinically‐relevant inflammatory factors with the significant TSGL‐Ig‐mediated attenuation of LPS and VILI highly consistent with PSGL1/P‐selectin as therapeutic targets in ARDS.
On‐chip purification of tetracycline from food matrices
Authors: Vanzetti Lia , Germanis Martina , Potrich Cristina , Lunelli Lorenzo 
Published: February 2023

AbstractAntibiotics are widespread both to treat human and animal diseases and to improve growth in food animals. However, their overuse in food‐producing animals has led to critical issues for human health, such as the direct toxicity and the development of antibiotic‐resistant bacterial strains. Therefore, the identification of traces of antibiotic in food before entering the market has became extremely important and brought out the need for novel bioanalytical methods and protocols. To meet this need, here, a microfluidic system was set up for the purification of tetracycline (TC) from raw milk, honey, and eggs. The system is based on the use of magnetic beads exposing copper ions, which are loaded in a microfluidic chamber and actuated by a ready‐made device. Tetracycline is captured by copper ions present on the microbeads, purified from the unwanted raw material present in the initial sample and recovered by a suitable elution solution. Different elution solutions were tested and results were evaluated by X‐ray photoelectron spectroscopy (XPS) and visible spectrometry. The microfluidic system was successfully employed for the purification of TC from raw milk, honey, and eggs after an initial dilution in buffer. The overall protocol was, therefore, demonstrated to efficiently purify tetracycline, laying the bases for a future implementation of in‐field on‐chip tests.
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease
Authors: Zou Haotian , Xiao Luo , Zeng Donglin , Luo Sheng ,   for the Alzheimer's Disease Neuroimaging Initiative
Published: February 2023

SummaryAlzheimer's Disease (AD) is the leading cause of dementia and impairment in various domains. Recent AD studies, (ie, Alzheimer's Disease Neuroimaging Initiative (ADNI) study), collect multimodal data, including longitudinal neurological assessments and magnetic resonance imaging (MRI) data, to better study the disease progression. Adopting early interventions is essential to slow AD progression for subjects with mild cognitive impairment (MCI). It is of particular interest to develop an AD predictive model that leverages multimodal data and provides accurate personalized predictions. In this article, we propose a multivariate functional mixed model with MRI data (MFMM‐MRI) that simultaneously models longitudinal neurological assessments, baseline MRI data, and the survival outcome (ie, dementia onset) for subjects with MCI at baseline. Two functional forms (the random‐effects model and instantaneous model) linking the longitudinal and survival process are investigated. We use Markov Chain Monte Carlo (MCMC) method based on No‐U‐Turn Sampling (NUTS) algorithm to obtain posterior samples. We develop a dynamic prediction framework that provides accurate personalized predictions of longitudinal trajectories and survival probability. We apply MFMM‐MRI to the ADNI study and identify significant associations among longitudinal outcomes, MRI data, and the risk of dementia onset. The instantaneous model with voxels from the whole brain has the best prediction performance among all candidate models. The simulation study supports the validity of the estimation and dynamic prediction method.