bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-infectious granulomatous disorders of the upper lip: clinicopathological analysis of 11 patients
Authors: Lafuente-Ibáñez de Mendoza Irene , Vigarios Emmanuelle , Herbault-Barres Béatrice , Alberdi-Navarro Javier , Sibaud Vincent , Maret Delphine , Aguirre-Urizar José Manuel 
Published: May 2022

Abstract
Background
Non-infectious granulomatous disorders of the upper lip represent a special chapter of oral and maxillofacial pathology. In this work we report a case-series of this process, to analyse its main clinicopathological features and find differential data that allow us improve its diagnosis and understand its pathogenesis.

Methods
We present 11 cases of non-infectious granulomatous disorders of the upper lip, 8 women and 3 men with an age range of 29–84 years, who have been attended at the Oral Medicine Department of the IUCT (France) and the Oral Medicine Unit of the UPV/EHU (Spain). All clinicopathological data were collected in a specific protocol.

Results
We recognized 4 different subtypes of non-infectious granulomatous disorders of the upper lip: (1) associated with Crohn’s disease (1 case), (2) associated with foreign body (2 cases), (3) associated with gingivitis lichenoid-like (4 cases), (4) idiopathic (4 cases).

Conclusions
Clinicopathological differences were identified between these subtypes. A good differential diagnosis is necessary in all cases to rule out the presence of local or systemic etiopathogenic factors.
The relationship between attitudes to homelessness and perceptions of caring behaviours: a cross-sectional study among women experiencing homelessness, nurses and nursing students
Authors: Gaber Sophie Nadia , Rosenblad Andreas Karlsson , Mattsson Elisabet , Klarare Anna 
Published: May 2022

AbstractBackgroundWomen experiencing homelessness have complex and multifaceted healthcare needs and yet they are an underserved population across healthcare services. Nurses are trained to perform an integral role in the provision of equitable healthcare and their attitudes towards homelessness may therefore influence the care that women experiencing homelessness receive. This study aimed to examine correlations between attitudes towards homelessness and caring behaviours, and to test if these correlations differed between the groups of women experiencing homelessness, registered nurses, and nursing students.MethodsA cross-sectional design using convenience sampling was used to recruit women experiencing homelessness (n = 37), registered nurses (n = 90), and nursing students (n = 138) in Stockholm, Sweden between August 2019 and December 2020. The participants answered two questionnaires: the Attitudes Toward Homelessness Inventory and the Caring Behaviours Inventory-24. Correlations between ordinal variables were calculated using Spearman’s rank correlation ρ. Tests of equality between two independent correlations were performed using a Z-test applied to Fisher’s z-transformed correlations. An advisory board of women with lived experience of homelessness supported the interpretation of the results.ResultsWeak, negative correlations were identified between the Attitudes Toward Homelessness Inventory and Caring Behaviours Inventory-24. The Attitudes Toward Homelessness Inventory mean total scores (SD) were 4.1 (0.6), 4.2 (0.6), 4.1 (0.5) points for the women experiencing homelessness, registered nurse, and nursing student groups, respectively, with the corresponding scores for the Caring Behaviours Inventory-24 being 4.1 (1.1), 5.2 (0.5), 4.8 (0.7) points, respectively.ConclusionsTo promote equitable health for women experiencing homelessness, healthcare providers and nurse educators should consider the role of stigmatising attitudes in relation to caring behaviours.
Comparison of multimodal active learning and single-modality procedural simulation for central venous catheter insertion for incoming residents in anesthesiology: a prospective and randomized study
Authors: Blanie Antonia , Shoaleh Cécile , Marquion Fabien , Benhamou Dan 
Published: May 2022

Abstract
Background
Active learning methods, including low-fidelity simulation, are useful but the incremental learning effect of each method is however limited. We designed this study to assess if combining flipped classroom and the modified Peyton’s « 4-steps» method during procedural simulation (intervention group [IG]) would provide better learning results than simulation alone (control group [CG]) in the context of central venous catheter insertion training.

Methods
This prospective, single-center, and randomized study took place in 2017 in a single simulation center. All first year Anesthesiology residents of Ile de France area at the start of their residency were randomly included either in the IG or CG during a seminar aimed at providing initial procedural skills with low-fidelity simulation. A composite learning score which included knowledge MCQ and a questionnaire assessing satisfaction and value of the training session was recorded after training (primary outcome, /100). A randomized sub-group of learners of each group were video-recorded during central venous catheter insertion at the end of training and their skills were evaluated with validated tools, including a specific checklist and a global rating scale (GRS).

Results
Among 89 anesthesiology residents, 48 and 41 learners were randomized in the intervention and control groups respectively. Of the IG residents, 40/48 (83%) had read the learning material prior to the session. There was no significant difference regarding the composite outcome ([IG]= 81.1 vs [CG] = 80.5 /100 (p = 0.68)). Results of the post-session MCQ knowledge questionnaire were also non-significantly different. Residents were similarly satisfied and described a significant improvement of their knowledge and skills after training. Learners highly valued the training session as a mean to improve their future practice. No significant differences regarding checklist and GRS scores were observed.

Conclusions
A multimodal active learning strategy of procedural learning did not provide better learning outcomes when compared to a traditional simulation method. In both groups, satisfaction was high and perception of the acquired theoretical and practical knowledge was improved after training.
Nurses, physicians and patients’ knowledge and attitudes about nurse prescribing
Authors: Haririan Hamidreza , Seresht Deniz Manie , Hassankhani Hadi , Porter Joanne E. , Wytenbroek Lydia 
Published: May 2022

Abstract
Background
One of the roles that nurses have acquired in recent years is the role of prescribing. This study aimed to investigate the knowledge and attitudes of critical care nurses, physicians and patients about nurse prescribing.

Methods
A descriptive cross-sectional study with the participation of 152 nurses, 53 physicians and 75 patients was carried out. Participants were selected by stratified random sampling from the critical care units of six hospitals in Tabriz, Iran. Demographics and participants’ knowledge and attitudes about nurse prescribing questionnaires were used to collect data. The collected data were analyzed using SPSS-22 software.

Results
The mean scores of total knowledge about nurse prescribing in nurses, patients and physicians’ were 15.41 ± 1.85,16.45 ± 2.31, 14.74 ± 1.7 respectively (from a range of 10 -20), and the mean score of knowledge by physicians was significantly higher than others (P = 0.000) and they had more knowledge about nurse prescribing. The mean scores of the attitudes towards nurse prescribing in nurses, physicians and patients were 40.62 ± 3.68, 37.98 ± 5.92 and 39.38 ± 4.39 respectively (from a range of 10 -50). However, the total mean score of attitudes among nurses was significantly higher than others (P = 0.000) and nurses had more positive attitudes toward prescribing.

Conclusion
The results showed that the participants have a good understanding and attitudes toward nurse prescribing. Nurse prescribing as a new duty and authority can be considered in providing more effective care by specialist nurses. The results of this study can also be used in the future planning of health policy for nurses to have the right to prescribe and ultimately improve the quality of patient care.
Accuracy evaluation of combining gastroscopy, multi-slice spiral CT, Her-2, and tumor markers in gastric cancer staging diagnosis
Authors: Zhao Songbo , Bi Yangang , Wang Zhenfang , Zhang Fantao , Zhang Yang , Xu Yongyun 
Published: May 2022

Abstract
Background
To evaluate the diagnostic accuracy of single gastroscopy, multi-slice spiral CT, HER-2 or tumor markers, and their combination in the diagnosis of gastric cancer.

Methods
A total of 98 patients with gastric cancer were selected as the research subjects. All patients underwent preoperative gastroscopy, MSCT, and the expression levels of HER-2, CEA, CA199, CA724, and CA242 were detected. A control group of 98 normal adults was selected to compare the risk factors for gastric cancer and to analyze the data.

Results
There was statistical significance in the expression of the 5 markers in tumor size (P < 0.05), but no statistical significance in other clinical data (P > 0.05). The tumor marker CEA in gastric mucosal tissue of patients with gastric cancer had the highest positive detection rate for gastric cancer, and the difference was statistically significant (P < 0.05) compared with gastroscopy, MSCT and other markers. The combined diagnosis had higher sensitivity, specificity and accuracy compared with the single diagnosis of gastric cancer staging, and the difference was statistically significant (P < 0.05). Compared with normal adults, patients with gastric cancer had statistically significant differences in diet, body mass index, and family genetic history (P < 0.05), while there was no statistically significant difference in whether they had type A blood (P > 0.05).

Conclusion
The combined diagnosis of gastroscopy, MSCT, immunohistochemical marker Her-2, and tumor markers CEA, CA199, CA724, and CA242 can more accurately determine the clinical staging and lesion invasion depth of patients with gastric cancer and can significantly improve the sensitivity of diagnosis.
Regulatory role of short-chain fatty acids in inflammatory bowel disease
Authors: Zhang Zhilin , Zhang Huan , Chen Tian , Shi Lin , Wang Daorong , Tang Dong 
Published: May 2022

AbstractInflammatory bowel disease (IBD) comprises a group of chronic inflammatory disorders of the gastrointestinal tract. Accumulating evidence shows that the development of IBD is always accompanied by the dysbiosis of the gut microbiota (GM), causing a decrease in prebiotic levels and an increase in harmful metabolite levels. This leads to persistent immune response and inflammation in the intestine, greatly impairing the physiological function of the gastrointestinal tract. Short-chain fatty acids (SCFAs) are produced by probiotic gut bacteria from a fiber-rich diet that cannot be digested directly. SCFAs with significant anti-inflammatory functions regulate immune function and prevent an excessive immune response, thereby delaying the clinical progression of IBD. In this review, we summarize the generation of SCFAs and their potential therapeutic effects on IBD. Furthermore, we suggest that SCFAs may modulate innate immune recognition and cytokine production to intervene in the progression of IBD. Additional randomized controlled trials and prospective cohort studies should also investigate the clinical impact of SCFA.
Diagnostic biomarker kinetics: how brain-derived biomarkers distribute through the human body, and how this affects their diagnostic significance: the case of S100B
Authors: Murcko Robert , Marchi Nicola , Bailey Damian , Janigro Damir 
Published: May 2022

AbstractBlood biomarkers of neurological diseases are often employed to rule out or confirm the presence of significant intracranial or cerebrovascular pathology or for the differential diagnosis of conditions with similar presentations (e.g., hemorrhagic vs. embolic stroke). More widespread utilization of biomarkers related to brain health is hampered by our incomplete understanding of the kinetic properties, release patterns, and excretion of molecules derived from the brain. This is, in particular, true for S100B, an astrocyte-derived protein released across the blood–brain barrier (BBB). We developed an open-source pharmacokinetic computer model that allows investigations of biomarker’s movement across the body, the sources of biomarker’s release, and its elimination. This model was derived from a general in silico model of drug pharmacokinetics adapted for protein biomarkers. We improved the model’s predictive value by adding realistic blood flow values, organ levels of S100B, lymphatic and glymphatic circulation, and glomerular filtration for excretion in urine. Three key variables control biomarker levels in blood or saliva: blood–brain barrier permeability, the S100B partition into peripheral organs, and the cellular levels of S100B in astrocytes. A small contribution to steady-state levels of glymphatic drainage was also observed; this mechanism also contributed to the uptake of organs of circulating S100B. This open-source model can also mimic the kinetic behavior of other markers, such as GFAP or NF-L. Our results show that S100B, after uptake by various organs from the systemic circulation, can be released back into systemic fluids at levels that do not significantly affect the clinical significance of venous blood or salivary levels after an episode of BBB disruption.
The risk factors for the failure of hook wire localization of ground glass nodules prior to thoracoscopic surgery
Authors: Ala Musu , Liu Junzhong , Kou Jieli , Wang Xinhua , Sun Minfeng , Hao Changcheng , Wu Jianlin 
Published: May 2022

Abstract
Objectives
To retrospectively analyse the potential influencing factors of CT-guided hook wire localization failure prior to thoracoscopic resection surgery of ground glass nodules (GGNs), and determine the main risk elements for localization failure.

Methods
In all, 372 patients were included in this study, with 21 patients showing localization failure. The related parameters of patients, GGNs, and localization were analysed through univariate and multiple logistic regression analysis to determine the risk factors of localization failure.

Results
Univariate logistic regression analysis indicated that trans-fissure (odds ratio [OR] 4.896, 95% confidence interval [CI] 1.489–13.939); trans-emphysema (OR 3.538, 95% CI 1.343–8.827); localization time (OR 0.956, 95% CI 0.898–1.019); multi-nodule localization (OR 2.597, 95% CI 1.050–6.361); and pneumothorax (OR 10.326, 95% CI 3.414–44.684) were risk factors for localization failure, and the p-values of these factors were < 0.05. However, according to the results of multivariate analysis, pneumothorax (OR 5.998, 95% CI 1.680–28.342) was an exclusive risk factor for the failure of preoperative localization of GGNs.

Conclusion
CT-guided hook wire localization of GGNs prior to thoracoscopic surgery is often known to fail; however, the incidence is low. Pneumothorax is an independent risk factor for failure in the localization process.
Wideband spectrum sensing based on advanced sub-Nyquist sampling structure
Authors: Wang Xue , Chen Qian , Jia Min , Gu Xuemai 
Published: May 2022

AbstractAs the bandwidth increases, the high-speed sampling rate becomes the bottleneck for the development of wideband spectrum sensing. Wideband spectrum sensing with sub-Nyquist sampling attracts more attention and modulated wideband converter (MWC) is an attractive sub-Nyquist sampling system. For the purpose of breaking the system structure limit, an advanced sub-Nyquist sampling framework is proposed to simplify the MWC system structure, adopting the single sampling channel structure with a frequency shifting module to acquire the sub-Nyquist sampling values. In order to recover the signal support information, the sensing matrix must be built according to the only one mixing function. Most existing support recovery methods rely on some prior knowledge about the spectrum sparsity, which is difficult to acquire in practical electromagnetic environment. To address this problem, we propose an adaptive residual energy detection algorithm (ARED), which bypasses the need for the above-mentioned prior knowledge. Simulation results show that, without requiring the aforementioned prior knowledge, the ARED algorithm based on the advanced sub-Nyquist sampling framework has the similar performance as MWC and even higher than MWC in some cases using only one sampling channel.
Opportunities and challenges of using metagenomic data to bring uncultured microbes into cultivation
Authors: Liu Sijia , Moon Christina D. , Zheng Nan , Huws Sharon , Zhao Shengguo , Wang Jiaqi 
Published: May 2022

AbstractAlthough there is now an extensive understanding of the diversity of microbial life on earth through culture-independent metagenomic DNA sequence analyses, the isolation and cultivation of microbes remains critical to directly study them and confirm their metabolic and physiological functions, and their ecological roles. The majority of environmental microbes are as yet uncultured however; therefore, bringing these rare or poorly characterized groups into culture is a priority to further understand microbiome functions. Moreover, cultivated isolates may find utility in a range of applications, such as new probiotics, biocontrol agents, and agents for industrial processes. The growing abundance of metagenomic and meta-transcriptomic sequence information from a wide range of environments provides more opportunities to guide the isolation and cultivation of microbes of interest. In this paper, we discuss a range of successful methodologies and applications that have underpinned recent metagenome-guided isolation and cultivation of microbe efforts. These approaches include determining specific culture conditions to enrich for taxa of interest, to more complex strategies that specifically target the capture of microbial species through antibody engineering and genome editing strategies. With the greater degree of genomic information now available from uncultivated members, such as via metagenome-assembled genomes, the theoretical understanding of their cultivation requirements will enable greater possibilities to capture these and ultimately gain a more comprehensive understanding of the microbiomes.
Frequency spectra of horizontal winds in the mesosphere and lower thermosphere region from multistatic specular meteor radar observations during the SIMONe 2018 campaign
Authors: Charuvil Asokan Harikrishnan , Chau Jorge L. , Marino Raffaele , Vierinen Juha , Vargas Fabio , Urco Juan Miguel , Clahsen Matthias , Jacobi Christoph 
Published: May 2022

AbstractIn recent years, multistatic specular meteor radars (SMRs) have been introduced to study the Mesosphere and Lower Thermosphere (MLT) dynamics with increasing spatial and temporal resolution. SMRs, compared to other ground-based observations, have the advantage of continuously measuring the region between 80 and 100 km independent of weather, season, or time of day. In this paper, frequency spectra of MLT horizontal winds are explored through observations from a campaign using the SIMONe (Spread-spectrum Interferometric Multistatic meteor radar Observing Network) approach conducted in northern Germany in 2018 (hereafter SIMONe 2018). The 7-day SIMONe 2018 comprised of fourteen multistatic SMR links and allows us to build a substantial database of specular meteor trail events, collecting more than one hundred thousand detections per day within a geographic area of $$\sim$$
∼
500 km $$\times$$
×
500 km. We have implemented two methods to obtain the frequency spectra of the horizontal wind components: (1) Mean Wind Estimation (MWE) and (2) Wind field Correlation Function Inversion (WCFI), which utilizes the mean and the covariances of the line of sight velocities, respectively. Monte Carlo simulations of a gravity wave spectral model were implemented to validate and compare both methods. The simulation analyses suggest that the WCFI helps us to capture the energy of smaller scale wind fluctuations than those capture with MWE. Characterization of the spectral slope of the horizontal wind at different MLT altitudes has been conducted on the SIMONe 2018, and it provides evidence that gravity waves with periods smaller than 7 h and greater than 2 h dominate with horizontal structures significantly larger than 500 km. In the future, these analyses can be extended to understand the significance of small-scale fluctuations in the MLT, which were not possible with conventional MWE methods.
Graphical Abstract
Rheological properties of halloysite soil slurry: a case study of weathered tephra involved in a shallow landslide triggered by the 2018 Eastern Iburi earthquake in Hokkaido, Japan
Authors: Kameda Jun 
Published: May 2022

AbstractThe 6.7 Mw Eastern Iburi earthquake of 6 September 2018 triggered destructive landslides in southern Hokkaido, Japan, many of which were characterized by the flow-like downslope movement of volcanic soils formed from weathered tephra containing halloysite. This study aims to elucidate the mechanism of landslide generation through rheological characterization of halloysite soil slurries. The examined slurries were prepared from either oven-dried or moist soil. Both slurries showed a power-law correlation between measured yield stress and moisture content. However, at a given water content, slurry made from dried soil showed stresses that are one-to-two orders of magnitude lower than those of slurry made from moist soil. Compared with the measurements for the slurry of dried soil, those for the slurry of moist soil are closer to prior numerical modeling of a specific landslide, indicating that the soils involved were moist. The yield stress also varied with slurry pH, generally increasing with decreasing pH, which is in part explained by the DLVO force model based on the electrical double layer and van der Waals forces between the colloidal particles. The pH dependence is more prominent in the slurry of moist soil, and thus the mechanical state of the slope appears to vary significantly with rainfall-induced changes in subsurface chemistry. Dynamic viscoelasticity measurement indicated that both initially solid-like slurries can become fluid under an applied oscillatory strain of 0.5 to 10 Hz: the susceptibility to fluidization depends greatly on water content and frequency. The ground motion during the earthquake easily fluidized the slurry, indicating this was a factor contributing to the observed flow-like landslides.
Graphical Abstract