bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards a hand-held, fast, and sensitive gas chromatograph-ion mobility spectrometer for detecting volatile compounds
Authors: Ahrens André , Zimmermann Stefan 
Published: November 2020

AbstractIon mobility spectrometers can detect gaseous compounds at atmospheric pressure in the range of parts per trillion within a second. Due to their fast response times, high sensitivity, and limited instrumental effort, they are used in a variety of applications, especially as mobile or hand-held devices. However, most real-life samples are gas mixtures, which can pose a challenge for IMS with atmospheric pressure chemical ionization mainly due to competing gas-phase ionization processes. Therefore, we present a miniaturized drift tube IMS coupled to a compact gas chromatograph for pre-separation, built of seven bundled standard GC columns (Rtx-Volatiles, Restek GmbH) with 250 μm ID and 1.07 m in length. Such pre-separation significantly reduces chemical cross sensitivities caused by competing gas-phase ionization processes and adds orthogonality. Our miniaturized GC-IMS system is characterized with alcohols, halocarbons, and ketones as model substances, reaching detection limits down to 70 pptv with IMS averaging times of just 125 ms. It separates test mixtures of ketones and halocarbons within 180 s and 50 s, respectively. The IMS has a short drift length of 40.6 mm and reaches a high resolving power of RP = 68.
Opioid Dependence After Lung Cancer Resection: Institutional Analysis of State Prescription Drug Database
Authors: Levinsky Nick C. , Byrne Matthew M. , Hanseman Dennis J. , Cortez Alexander R. , Guitron Julian , Starnes Sandra L. , Van Haren Robert M. 
Published: November 2020

AbstractBackgroundThe national opioid epidemic is a public health crisis. Thoracic surgery has also been associated with high incidence of new persistent opioid use. Our purpose was to describe the incidence and predictors of opioid use after lung cancer resection.MethodsRetrospective review of lung cancer resections from 2015 to 2018 was performed using the Ohio Automated Rx Reporting System. Opioid dosing was recorded as milligram morphine equivalents (MME). Patients were stratified by preoperative opioid use. Chronic preoperative opioid users (opioid dependent) filled > 120 days supply of opioid pain medication in the 12 months prior to surgery; intermittent opioid users filled < 120 days. Chronic postoperative opioid users continued monthly use after 180 days postoperatively.Results137 patients underwent resection. 16.1% (n = 22) were opioid dependent preoperatively, 29.2% (n = 40) were intermittent opioid users, and 54.7% (n = 75) were opioid naïve. Opioid dependent patients had higher daily inpatient opioid use compared to intermittent users and opioid naïve (43[30.0–118.1] MME vs 17.9[3.5–48.8] MME vs 8.8[2.1–25.0] MME, p < 0.001). Twenty‐six percent (n = 35) of all patients were opioid users beyond 180 days postoperatively. Variables associated with opioid use > 180 days were: chronic preoperative opioid use (OR 23.8, p < 0.01), daily inpatient opioid requirement (1.02, p < 0.01), and neoadjuvant chemotherapy (28.2, p < 0.01).ConclusionsA quarter of patients are opioid dependent after lung cancer resection. This is due to both preexisting and new persistent opioid use. Improved strategies are needed to prevent chronic pain and opioid dependence after lung cancer resection.
Crystal-chemistry of micas belonging to the yangzhumingite-fluorophlogopite and phlogopite-fluorophlogopite series from the Apuan Alps (northern Tuscany, Italy)
Authors: Lacalamita Maria , Schingaro Emanuela , Mesto Ernesto , Zaccarini Federica , Biagioni Cristian 
Published: November 2020

AbstractThe present work reports the crystal-chemical characterization of micas from the Monte Arsiccio and Buca della Vena mines (Apuan Alps, Italy) through electron microprobe analysis, single-crystal X-ray diffraction, and Raman spectroscopy. The sample from the Monte Arsiccio mine can be classified
as an intermediate member of the yangzhumingite-fluorophlogopite series, with average crystal-chemical formula (K0.85Na0.01Ba0.09)Σ=0.95(Mg2.11Fe2+0.23Fe3+0.11Cr3+0.01Al0.20Ti0.04☐0.30)Σ=3.00(Si3.20Al0.80)Σ=4.00O10.00F1.90Cl0.02(OH)0.08. Unit-cell parameters are a ~ 5.30, b ~ 9.18, c ~ 10.14 Å, β ~ 100.12°, V ~ 486.22 Å3, corresponding to the 1M polytype. Structure refinements, performed in C2/m space group, converged to R1 = 3.54 and 4.46% and provided Mg plus Fe occupancy in the range 86–94% for the octahedral M1 and M2 sites. Raman spectroscopy shows very weak bands in the OH stretching region at ~ 3690 and 3580 cm−1. The sample from the Buca della Vena mine has been identified as an (OH)-rich fluorophlogopite, with average crystal-chemical formula (K0.84Na0.02Ca0.01)Σ=0.87(Mg2.12Fe2+0.55Fe3+0.10Al0.18☐0.05)Σ=3.00(Si2.99Al1.01)Σ=4.00O10.00F1.02Cl0.09(OH)0.89. Its unit-cell parameters are a ~ 5.33, b ~ 9.22, c ~ 10.23 Å, β ~ 100.09°, V ~ 494.39 Å3. Structure refinements gave good R1 values (3.27 and 4.37%) and revealed octahedral occupancy of 82–84% Mg and 16–18% Fe. Strong Raman signals at ~ 3702 cm−1 and 3595 cm−1 were observed in the OH stretching region. The findings allow to better understand not only the mineralogy of the Apuan Alps but, more generally, the crystal chemical details of intermediate dioctahedral-trioctahedral mica belonging to the yanzhumingite-fluorophlogopite series.
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation
Authors: Baltruschat Ivo , Steinmeister Leonhard , Nickisch Hannes , Saalbach Axel , Grass Michael , Adam Gerhard , Knopp Tobias , Ittrich Harald 
Published: November 2020

Abstract
Objective
The aim is to evaluate whether smart worklist prioritization by artificial intelligence (AI) can optimize the radiology workflow and reduce report turnaround times (RTATs) for critical findings in chest radiographs (CXRs). Furthermore, we investigate a method to counteract the effect of false negative predictions by AI—resulting in an extremely and dangerously long RTAT, as CXRs are sorted to the end of the worklist.

Methods
We developed a simulation framework that models the current workflow at a university hospital by incorporating hospital-specific CXR generation rates and reporting rates and pathology distribution. Using this, we simulated the standard worklist processing “first-in, first-out” (FIFO) and compared it with a worklist prioritization based on urgency. Examination prioritization was performed by the AI, classifying eight different pathological findings ranked in descending order of urgency: pneumothorax, pleural effusion, infiltrate, congestion, atelectasis, cardiomegaly, mass, and foreign object. Furthermore, we introduced an upper limit for the maximum waiting time, after which the highest urgency is assigned to the examination.

Results
The average RTAT for all critical findings was significantly reduced in all prioritization simulations compared to the FIFO simulation (e.g., pneumothorax: 35.6 min vs. 80.1 min; p < 0.0001), while the maximum RTAT for most findings increased at the same time (e.g., pneumothorax: 1293 min vs 890 min; p < 0.0001). Our “upper limit” substantially reduced the maximum RTAT in all classes (e.g., pneumothorax: 979 min vs. 1293 min/1178 min; p < 0.0001).

Conclusion
Our simulations demonstrate that smart worklist prioritization by AI can reduce the average RTAT for critical findings in CXRs while maintaining a small maximum RTAT as FIFO.

Key Points
• Development of a realistic clinical workflow simulator based on empirical data from a hospital allowed precise assessment of smart worklist prioritization using artificial intelligence.
• Employing a smart worklist prioritization without a threshold for maximum waiting time runs the risk of false negative predictions of the artificial intelligence greatly increasing the report turnaround time.
• Use of a state-of-the-art convolution neural network can reduce the average report turnaround time almost to the upper limit of a perfect classification algorithm (e.g., pneumothorax: 35.6 min vs. 30.4 min).
Impact of the COVID-19 pandemic on cardiovascular mortality and catherization activity during the lockdown in central Germany: an observational study
Authors:   for the CoVCAD –Study Group, Nef Holger M. , Elsässer Albrecht , Möllmann Helge , Abdel-Hadi Mohammed , Bauer Timm , Brück Martin , Eggebrecht Holger , Ehrlich Joachim R. , Ferrari Markus W. , Fichtlscherer Stephan , Hink Ulrich , Hölschermann Hans , Kacapor Rifat , Koeth Oliver , Korboukov Serguei , Lamparter Steffen , Laspoulas Alexander J. , Lehmann Ralf , Liebetrau Christoph , Plücker Tobias , Pons-Kühnemann Jörn , Schächinger Volker , Schieffer Bernhard , Schott Peter , Schulze Matthias , Teupe Claudius , Vasa-Nicotera Mariuca , Weber Michael , Weinbrenner Christoph , Werner Gerald , Hamm Christian W. , Dörr Oliver 
Published: November 2020

Abstract
Aims
During the COVID-19 pandemic, hospital admissions for cardiac care have declined. However, effects on mortality are unclear. Thus, we sought to evaluate the impact of the lockdown period in central Germany on overall and cardiovascular deaths. Simultaneously we looked at catheterization activities in the same region.

Methods and results
Data from 22 of 24 public health-authorities in central Germany were aggregated during the pandemic related lockdown period and compared to the same time period in 2019. Information on the total number of deaths and causes of death, including cardiovascular mortality, were collected. Additionally, we compared rates of hospitalization (n = 5178) for chronic coronary syndrome (CCS), acute coronary syndrome (ACS), and out of hospital cardiac arrest (OHCA) in 26 hospitals in this area. Data on 5,984 deaths occurring between March 23, 2020 and April 26, 2020 were evaluated. In comparison to the reference non-pandemic period in 2019 (deaths: n = 5832), there was a non-significant increase in all-cause mortality of 2.6% [incidence rate ratio (IRR) 1.03, 95% confidence interval (CI) 0.99–1.06; p = 0.16]. Cardiovascular and cardiac mortality increased significantly by 7.6% (IRR 1.08, 95%-CI 1.01–1.14; p = 0.02) and by 11.8% (IRR 1.12, 95%-CI 1.05–1.19; p < 0.001), respectively. During the same period, our data revealed a drop in cardiac catherization procedures.

Conclusion
During the COVID-19-related lockdown a significant increase in cardiovascular mortality was observed in central Germany, whereas catherization activities were reduced. The mechanisms underlying both of these observations should be investigated further in order to better understand the effects of a pandemic-related lockdown and social-distancing restrictions on cardiovascular care and mortality.

Graphic abstract
From workplace to home environment: spreading of mouse allergens by laboratory animal workers
Authors: Kube Hannah , Herrera Ronald , Dietrich-Gümperlein Gisela , Schierl Rudolf , Nowak Dennis , Radon Katja , Wengenroth Laura , Gerlich Jessica 
Published: November 2020

Abstract
Purpose
Laboratory animal workers (LAW) working with laboratory mice are exposed to mouse allergens (MA). If MA are spread to home environments, this might increase the risk for allergies in LAW and their families. This study aimed to assess 1. whether spreading of MA from workplace to home environment takes place; 2. which factors increase spreading of MA.

Methods
In a cross-sectional study, dust samples were taken on the mattress and seating in homes of LAW (n = 105) and an unexposed comparison group (n = 13). From 89 LAW, additional dust samples were taken from their workplaces. Samples were analysed using Mus m1 ELISA kits [detection limit (DL) 0.2 ng mus m1/ml]. Sociodemographic data, personal history of allergies and cleaning habits, as well as work-related characteristics (LAW only) were assessed by questionnaire. Latent factors were assessed via factor analysis. Tobit models were fitted to analyse the latent factors’ contribution to MA spreading.

Results
MA concentration on the seating was significantly higher in home environments of LAW (median = 1.28 ng mus m1/m2) than in the comparison group (median < DL, p = 0.019). The highest workplace MA concentration was found on the floor of the scullery (median = 140,000.00 ng mus m1/m2), followed by hair-covering caps (median = 76.02 ng mus m1/m2). Cage and mouse facility cleaning tasks and infrequent changing of bed linen at home were statistically significantly associated with higher MA concentrations at home.

Conclusions
Spreading of MA from LAW’s workplace to their home environment takes place, especially among LAWs involved in cleaning tasks.
Neurosurgery and coronavirus: impact and challenges—lessons learnt from the first wave of a global pandemic
Authors: Ashkan Keyoumars , Jung Josephine , Velicu Alexandra Maria , Raslan Ahmed , Faruque Mohammed , Kulkarni Pandurang , Bleil Cristina , Hasegawa Harutomo , Kailaya-Vasan Ahilan , Maratos Eleni , Grahovac Gordan , Vergani Francesco , Zebian Bassel , Barazi Sinan , Malik Irfan , Bell David , Walsh Daniel , Bhangoo Ranjeev , Tolias Christos , Bassi Sanjeev , Selway Richard , Thomas Nick , Chandler Christopher , Gullan Richard 
Published: November 2020

AbstractIntroduction and objectivesThe novel severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic has had drastic effects on global healthcare with the UK amongst the countries most severely impacted. The aim of this study was to examine how COVID-19 challenged the neurosurgical delivery of care in a busy tertiary unit serving a socio-economically diverse population.MethodsA prospective single-centre cohort study including all patients referred to the acute neurosurgical service or the subspecialty multidisciplinary teams (MDT) as well as all emergency and elective admissions during COVID-19 (18th March 2020–15th May 2020) compared to pre-COVID-19 (18th of January 2020–17th March 2020). Data on demographics, diagnosis, operation, and treatment recommendation/outcome were collected and analysed.ResultsOverall, there was a reduction in neurosurgical emergency referrals by 33.6% and operations by 55.6% during the course of COVID-19. There was a significant increase in the proportion of emergency operations performed during COVID-19 (75.2% of total,n=155) when compared to pre-COVID-19 (n= 198, 43.7% of total,p< 0.00001). In contrast to other published series, the 30-day perioperative mortality remained low (2.0%) with the majority of post-operative COVID-19-infected patients (n= 13) having underlying medical co-morbidities and/or suffering from post-operative complications.ConclusionThe capacity to safely treat patients requiring urgent or emergency neurosurgical care was maintained at all times. Strategies adopted to enable this included proactively approaching the referrers to maintain lines of communications, incorporating modern technology to run clinics and MDTs, restructuring patient pathways/facilities, and initiating the delivery of NHS care within private sector hospitals. Through this multi-modal approach we were able to minimize service disruptions, the complications, and mortality.
The scholar’s best friend: research trends in dog cognitive and behavioral studies
Authors: Aria Massimo , Alterisio Alessandra , Scandurra Anna , Pinelli Claudia , D’Aniello Biagio 
Published: November 2020

AbstractIn recent decades, cognitive and behavioral knowledge in dogs seems to have developed considerably, as deduced from the published peer-reviewed articles. However, to date, the worldwide trend of scientific research on dog cognition and behavior has never been explored using a bibliometric approach, while the evaluation of scientific research has increasingly become important in recent years. In this review, we compared the publication trend of the articles in the last 34 years on dogs’ cognitive and behavioral science with those in the general category “Behavioral Science”. We found that, after 2005, there has been a sharp increase in scientific publications on dogs. Therefore, the year 2005 has been used as “starting point” to perform an in-depth bibliometric analysis of the scientific activity in dog cognitive and behavioral studies. The period between 2006 and 2018 is taken as the study period, and a backward analysis was also carried out. The data analysis was performed using “bibliometrix”, a new R-tool used for comprehensive science mapping analysis. We analyzed all information related to sources, countries, affiliations, co-occurrence network, thematic maps, collaboration network, and world map. The results scientifically support the common perception that dogs are attracting the interest of scholars much more now than before and more than the general trend in cognitive and behavioral studies. Both, the changes in research themes and new research themes, contributed to the increase in the scientific production on the cognitive and behavioral aspects of dogs. Our investigation may benefit the researchers interested in the field of cognitive and behavioral science in dogs, thus favoring future research work and promoting interdisciplinary collaborations.
A perfect storm: ploidy and preadaptation facilitate Saccharum spontaneum escape and invasion in the Republic of Panama
Authors: Saltonstall Kristin , Bonnett Graham D. , Aitken Karen S. 
Published: November 2020

AbstractPolyploidy may contribute to invasive ability as it can lead to high survival and fitness during establishment and enhance the processes of adaptation to novel environments by increasing genetic diversity in invading propagules. Many grasses are polyploid and many are aggressive invaders, making them persistent problems in disturbed environments worldwide. Today, vast areas of central Panama are dominated bySaccharum spontaneum, a perennial grass that originates from Asia. While widely regarded as invasive, it is not known when or how it arrived in Panama. We explore hypotheses regarding the timing and origins of this invasion through literature review and comparisons of genetic diversity in Panama with accessions from available sugarcane germplasm collections, highlighting historical accessions that were likely brought to Panama in 1939 as part of a USDA sugarcane germplasm collection. Samples were haplotyped at two chloroplast loci and genotyped using eight microsatellite markers. All sequenced individuals from Panama belong to a single chloroplast lineage which is common worldwide and was common in the Historic germplasm collection. Although genotypic diversity was extremely high in all samples due to high ploidy, samples from Panama had reduced diversity and clustered with several accessions in the Historic collection which had the same haplotype and high ploidy levels. Our results suggest that accidental escape from the historical sugarcane germplasm collection is the likely origin of theS. spontaneuminvasion in Panama. Intraspecific hybridization among several historical accessions and pre-adaptation to local conditions may have facilitated its rapid spread and persistence. We discuss the implications of our findings for biosecurity of germplasm collections.
How will a drier climate change carbon sequestration in soils of the deciduous forests of Central Europe?
Authors: Fekete István , Berki Imre , Lajtha Kate , Trumbore Susan , Francioso Ornella , Gioacchini Paola , Montecchio Daniela , Várbíró Gábor , Béni Áron , Makádi Marianna , Demeter Ibolya , Madarász Balázs , Juhos Katalin , Kotroczó Zsolt 
Published: November 2020

AbstractGlobal warming is accompanied by increasing water stress across much of our planet. We studied soil biological processes and changes in soil organic carbon (SOC) storage in 30 Hungarian oak forest sites in the Carpathian Basin along a climatic gradient (mean annual temperature (MAT) 9.6–12.1 °C, mean annual precipitation (MAP) 545–725 mm) but on similar gently sloped hillsides where the parent materials are loess and weathered dust inputs dating from the end of the ice age. The purpose of this research was to understand how a drying climate, predicted for this region, might regulate long-term SOC sequestration. To examine the effects of decreasing water availability, we compared soil parameters and processes in three categories of forest that represented the moisture extremes along our gradient and that were defined using a broken-stick regression model. Soil biological activity was significantly lower in the driest (“dry”) forests, which had more than double the SOC concentration in the upper 30 cm layer (3.28 g C/100 g soil ± 0.11 SE) compared to soils of the wettest (“humid”) forests (1.32 g C/100 g soil ± 0.09 SE), despite the fact that annual surface litter production in humid forests was ~ 37% higher than in dry forests. A two-pool SOM model constrained to fit radiocarbon data indicates that turnover times for fast and slow pools are about half as long in the humid soil compared to the dry soil, and humid soils transfer C twice as efficiently from fast to slow pools. Enzyme activity and fungal biomass data also imply shorter turnover times associated with faster degradation processes in the soils of humid forests. Thermogravimetry studies suggest that more chemically recalcitrant compounds are accumulating in the soils of dry forests. Taken together, our results suggest that the predicted climate drying in this region might increase SOC storage in Central European mesic deciduous forests even as litter production decreases.
Imaging in COVID-19-related myocardial injury
Authors: Cau Riccardo , Bassareo Pier Paolo , Mannelli Lorenzo , Suri Jasjit S. , Saba Luca 
Published: November 2020

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS- CoV-2), previously named “2019 novel coronavirus” (2019-nCoV) is an emerging disease and a major public health issue. At the moment, little is known, except that its spread is on a steady upward trend. That is the reason why it was declared pandemic since March 11th, 2020. Respiratory symptoms dominate the clinical manifestations of the virus, but in a few patients also other organs are involved, such as their heart. This review article provides an overview of the existing literature regarding imaging of heart injury during COVID-19 acute infection and follow-up.