bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exposure and Management of the Health Risk for the Use of Formaldehyde and Xylene in a Large Pathology Laboratory
Authors: Fustinoni Silvia , Campo Laura , Spinazzè Andrea , Cribiù Fulvia Milena , Chiappa Laura , Sapino Anna , Mercadante Rosa , Olgiati Luca , Boniardi Luca , Cavallo Domenico Maria , Riboldi Luciano , Ferrero Stefano , Boggio Francesca 
Published: December 2020

Abstract

Background
Formaldehyde and xylene are two hazardous chemicals widely used in pathology laboratories all over the world. The aim of this work was to survey a large volume pathology lab, measuring exposure of workers and residents to formaldehyde and xylene, and verify the efficacy of the undertaken preventive actions and the accomplishment with occupational limit values.

Methods
Environmental, personal, and biological monitoring of exposure to formaldehyde and xylene in different lab rooms and in 29 lab attendants was repeated yearly from 2017 to 2020. Continuous monitoring of airborne formaldehyde was performed to evaluate the pattern of airborne concentrations while specific tasks were performed. Several risk management and mitigation measures, including setting a new grossing room, reducing the number of samples to be soaked in formaldehyde, and improving the lab practices and equipment, such as the use of chemical hoods, were undertaken after each monitoring campaign, based on the results obtained from the exposure monitoring.

Results
Significant exposures to formaldehyde in pathologists and residents, especially during the grossing of samples, were observed in the first 2 years, with exposure exceeding the occupational exposure limit value; the following surveys showed that the risk management and mitigation measures were effective in reducing airborne concentrations and personal exposure. Xylene, assessed with both environmental and biological monitoring, was always well below the occupational exposure limit value and biological limit values, respectively.

Conclusion
Critical exposure to air formaldehyde in attendants of a pathology laboratory could be reduced with the re-organization of lab spaces, new and improved work procedures, and awareness and training initiatives.
Effect of Long-Term Diving Exposure on Sleep of Male Occupational Divers in Southern Taiwan: A Cross-Sectional Study
Authors: Tseng Wei-Shih , Tzeng Nian-Sheng , Lin Kung-Hung , Huang Nan-Chieh , Huang Man-Yuan , Kang Bor-Hwang 
Published: December 2020

AbstractObjectiveDivers with a history of decompression sickness may be at high risk for sleep problems. However, limited studies have investigated the relationship between diving exposure and sleep problems of occupational divers. This study investigated the association between diving exposure and sleep quality and quantity among male occupational divers in southern Taiwan.MethodsThis descriptive, cross-sectional study included 52 occupational divers and 121 non-divers recruited from southern Taiwan in 2018. Survey data were collected using the Taiwanese version of the Hospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and a self-report questionnaire that included demographic variables, diving exposure/protocols, and factors associated with sleep quality.ResultsAmong all participants examined, occupational divers were significantly more likely to have both poor sleep quality (adjusted odds ratio [OR] = 3.00; 95% confidence interval [CI] = 1.48–6.06; P = 0.002) and excessive daytime sleepiness (adjusted OR = 4.49; 95% CI = 2.12–9.52; P &lt; 0.001). The diving exposure time, depth, ascent rate, and decompression table use showed no significant associations between poor and good sleepers in the divers group. However, a history of decompression sickness was associated with poor sleep quality among divers (adjusted OR = 2.20; 95% CI = 1.07–4.54; P = 0.032).ConclusionsOur results showed that occupational divers had poor sleep quality and more excessive sleepiness than non-divers. Decompression sickness likely contributes to poor sleep quality. Prevention and early detection of decompression sickness-related sleep problems should be an occupational health priority.
ProteomeExpert: a Docker image-based web server for exploring, modeling, visualizing and mining quantitative proteomic datasets
Authors: Zhu Tiansheng , Chen Hao , Yan Xishan , Wu Zhicheng , Zhou Xiaoxu , Xiao Qi , Ge Weigang , Zhang Qiushi , Xu Chao , Xu Luang , Ruan Guan , Xue Zhangzhi , Yuan Chunhui , Chen Guo-Bo , Guo Tiannan 
Published: December 2020

ABSTRACTSummaryThe rapid progresses of high-throughput sequencing technology-based omics and mass spectrometry-based proteomics, such as data-independent acquisition and its penetration to clinical studies have generated increasing number of proteomic datasets containing hundreds to thousands of samples. To analyze these quantitative proteomic datasets and other omics (e.g. transcriptomics and metabolomics) datasets more efficiently and conveniently, we present a web server-based software tool ProteomeExpert implemented in Docker, which offers various analysis tools for experimental design, data mining, interpretation and visualization of quantitative proteomic datasets. ProteomeExpert can be deployed on an operating system with Docker installed or with R language environment.Availability and implementationThe Docker image of ProteomeExpert is freely available from https://hub.docker.com/r/lifeinfo/proteomeexpert. The source code of ProteomeExpert is also openly accessible at http://www.github.com/guomics-lab/ProteomeExpert/. In addition, a demo server is provided at https://proteomic.shinyapps.io/peserver/.Supplementary informationSupplementary data are available at Bioinformatics online.
EM-stellar: benchmarking deep learning for electron microscopy image segmentation
Authors: Khadangi Afshin , Boudier Thomas , Rajagopal Vijay 
Published: December 2020

Abstract

Motivation
The inherent low contrast of electron microscopy (EM) datasets presents a significant challenge for rapid segmentation of cellular ultrastructures from EM data. This challenge is particularly prominent when working with high-resolution big-datasets that are now acquired using electron tomography and serial block-face imaging techniques. Deep learning (DL) methods offer an exciting opportunity to automate the segmentation process by learning from manual annotations of a small sample of EM data. While many DL methods are being rapidly adopted to segment EM data no benchmark analysis has been conducted on these methods to date.

Results
We present EM-stellar, a platform that is hosted on Google Colab that can be used to benchmark the performance of a range of state-of-the-art DL methods on user-provided datasets. Using EM-stellar we show that the performance of any DL method is dependent on the properties of the images being segmented. It also follows that no single DL method performs consistently across all performance evaluation metrics.

Availability and implementation
EM-stellar (code and data) is written in Python and is freely available under MIT license on GitHub (https://github.com/cellsmb/em-stellar).

Supplementary information
Supplementary data are available at Bioinformatics online.
Multiple spontaneous coronary artery dissections associated with intravenous daunorubicin treatment for acute myelocytic leukaemia: a case report
Authors: Chien Do Van , Hai Pham Dang , Nhung Le Thi , Son Pham Truong 
Published: December 2020

Abstract

Background
Multiple spontaneous coronary artery dissection (SCAD) is a rare condition which may lead to serious consequences such as sudden cardiac death, acute myocardial infarction (AMI), and acute heart failure.

Case summary
In this paper, we report the case of a 57-year-old woman with acute myelocytic leukaemia who was undergoing her second phase of chemotherapy. After the first induction cycle of intravenous infusion of daunorubicin, the patient experienced chest pain, shortness of breath, and low blood pressure. The electrocardiograms revealed significant ST-elevation in the D1, aVL, and V2–V6 leads, which indicated AMI. Coronary catheterization showed spontaneous coronary dissection in the mid-left descending coronary artery and first obtuse marginal artery of the circumflex. The patient died immediately.

Discussion
This is the first reported case of multiple SCAD associated with intravenous (IV) daunorubicin infusion. We also reviewed the literature and proposed the mechanism of this complication.
Multicentre experience with the frozen elephant trunk technique to treat penetrating aortic ulcers involving the aortic arch
Authors: Kreibich Maximilian , Kremer Jamila , Vötsch Andreas , Berger Tim , Farag Mina , Winkler Andreas , Siepe Matthias , Karck Matthias , Beyersdorf Friedhelm , Rylski Bartosz , Czerny Martin , Gottardi Roman 
Published: December 2020

Abstract

OBJECTIVES
Our goal was to evaluate the use of the frozen elephant trunk (FET) technique for the treatment of penetrating aortic ulcers involving the aortic arch.

METHODS
Between January 2008 and January 2020, a total of 34 patients had the FET technique at 3 aortic centres. The indication for the FET technique was unsuitability for thoracic endovascular aortic repair due to the lack of a sufficient proximal landing zone even after supra-aortic rerouting (subclavian transposition, double transposition), ectasia of the ascending aorta/aortic arch (&gt;40 mm) and/or a shaggy proximal thoracic aorta.

RESULTS
Additional cardiac procedures were performed in 14 patients (41%), and the beating heart technique was used in 7 patients (21%). Perioperative mortality was 18% (n = 6); 3 of these patients had a major stroke (9%). No case of spinal cord ischaemia was observed, and 2 patients (6%) developed a non-disabling stroke. After a median follow-up of 7 (first quartile: 1; third quartile 29) months, 2 patients (6%) died (1 of malignant disease and 1 of an unclear cause); 10 additional aortic interventions in all aortic segments (29%; endovascular: n = 8 [24%] and conventional surgical: n = 2 [6%]) were performed in 8 patients.

CONCLUSIONS
The FET technique is a good treatment option for patients with penetrating aortic ulcers involving the aortic arch unsuitable for thoracic endovascular aortic repair. However, the high obliterative atherosclerotic load in these patients is accompanied by an un-neglectable risk of perioperative neurological injury. Concomitant cardiac surgical procedures are frequently needed. Patients commonly require secondary aortic procedures in all aortic segments, emphasizing the need for thorough primary conceptual planning and stringent follow-up.
Promoting written employment contracts: evidence from a randomised awareness campaign
Authors: Jäckering Lisa , Meemken Eva-Marie , Sellare Jorge , Qaim Matin 
Published: December 2020

Abstract
Written employment contracts may improve the conditions of agricultural workers in developing countries, but farmers as employers often prefer less formal oral arrangements. We evaluate whether farmers’ preferences, which are deeply rooted in traditional norms, can be influenced through a group awareness campaign. In a randomised experiment in Côte d’Ivoire, we show that such a campaign increases farmers’ preferences for written contracts and for contract features involving social benefits for workers. The campaign also increases farmers’ likelihood to initiate concrete steps towards signing a contract with their workers. We conclude that group-based interventions can change farmers’ traditional views about employment relations.
Stress-associated neurobiological activity is linked with acute plaque instability via enhanced macrophage activity: a prospective serial 18F-FDG-PET/CT imaging assessment
Authors: Kang Dong Oh , Eo Jae Seon , Park Eun Jin , Nam Hyeong Soo , Song Joon Woo , Park Ye Hee , Park So Yeon , Na Jin Oh , Choi Cheol Ung , Kim Eung Ju , Rha Seung-Woon , Park Chang Gyu , Seo Hong Seog , Kim Chi Kyung , Yoo Hongki , Kim Jin Won 
Published: December 2020

Abstract

Aims
Emotional stress is associated with future cardiovascular events. However, the mechanistic linkage of brain emotional neural activity with acute plaque instability is not fully elucidated. We aimed to prospectively estimate the relationship between brain amygdalar activity (AmygA), arterial inflammation (AI), and macrophage haematopoiesis (HEMA) in acute myocardial infarction (AMI) as compared with controls.

Methods and results
18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) imaging was performed within 45 days of the index episode in 62 patients (45 with AMI, mean 60.0 years, 84.4% male; 17 controls, mean 59.6 years, 76.4% male). In 10 patients of the AMI group, serial 18F-FDG-PET/CT imaging was performed after 6 months to estimate the temporal changes. The signals were compared using a customized 3D-rendered PET reconstruction. AmygA [target-to-background ratio (TBR), mean ± standard deviation: 0.65 ± 0.05 vs. 0.60 ± 0.05; P = 0.004], carotid AI (TBR: 2.04 ± 0.39 vs. 1.81 ± 0.25; P = 0.026), and HEMA (TBR: 2.60 ± 0.38 vs. 2.22 ± 0.28; P &lt; 0.001) were significantly higher in AMI patients compared with controls. AmygA correlated significantly with those of the carotid artery (r = 0.350; P = 0.005), aorta (r = 0.471; P &lt; 0.001), and bone marrow (r = 0.356; P = 0.005). Psychological stress scales (PHQ-9 and PSS-10) and AmygA assessed by PET/CT imaging correlated well (P &lt; 0.001). Six-month after AMI, AmygA, carotid AI, and HEMA decreased to a level comparable with the controls.

Conclusion
AmygA, AI, and HEMA were concordantly enhanced in patients with AMI, showing concurrent dynamic changes over time. These results raise the possibility that stress-associated neurobiological activity is linked with acute plaque instability via augmented macrophage activity and could be a potential therapeutic target for plaque inflammation in AMI.
SARS-CoV-2 Serologic Assays in Control and Unknown Populations Demonstrate the Necessity of Virus Neutralization Testing
Authors: Rathe Jennifer A , Hemann Emily A , Eggenberger Julie , Li Zhaoqi , Knoll Megan L , Stokes Caleb , Hsiang Tien-Ying , Netland Jason , Takehara Kennidy K , Pepper Marion , Gale Michael 
Published: December 2020

Abstract

Background
To determine how serologic antibody testing outcome links with virus neutralization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we evaluated individuals for SARS-CoV-2 antibody level and viral neutralization.

Methods
We compared serum Ig levels across platforms of viral antigens and antibodies with 15 positive and 30 negative SARS-CoV-2 controls followed by viral neutralization assessment. We then applied these platforms to a clinically relevant cohort of 114 individuals with unknown histories of SARS-CoV-2 infection.

Results
In controls, the best-performing virus-specific antibody detection platforms were SARS-CoV-2 receptor binding domain (RBD) IgG (sensitivity 87%, specificity 100%, positive predictive value [PPV] 100%, negative predictive value [NPV] 94%), spike IgG3 (sensitivity 93%, specificity 97%, PPV 93%, NPV 97%), and nucleocapsid protein (NP) IgG (sensitivity 93%, specificity 97%, PPV 93%, NPV 97%). Neutralization of positive and negative control sera showed 100% agreement. Twenty individuals with unknown history had detectable SARS-CoV-2 antibodies with 16 demonstrating virus neutralization. Spike IgG3 provided the highest accuracy for predicting serologically positive individuals with virus neutralization activity (misidentified 1/20 unknowns compared to 2/20 for RBD and NP IgG).

Conclusions
The coupling of virus neutralization analysis to a spike IgG3 antibody test is optimal to categorize patients for correlates of SARS-CoV-2 immune protection status.
Evaluating the Role of Government Collaboration in the Perceived Performance of Community-Based Nonprofits: Three Propositions
Authors: Nederhand José 
Published: December 2020

Abstract
The topic of government–nonprofit collaboration continues to be much-discussed in the literature. However, there has been little consensus on whether and how collaborating with government is beneficial for the performance of community-based nonprofits. This article examines three dominant theoretical interpretations of the relationship between collaboration and performance: collaboration is necessary for the performance of nonprofits; the absence of collaboration is necessary for the performance of nonprofits; and the effect of collaboration is contingent on the nonprofits’ bridging and bonding network ties. Building on the ideas of governance, nonprofit, and social capital in their respective literature, this article uses set-theoretic methods (fsQCA) to conceptualize and test their relationship. Results show the pivotal role of the nonprofit’s network ties in mitigating the effects of either collaborating or abstaining from collaborating with government. Particularly, the political network ties of nonprofits are crucial to explaining the relationship between collaboration and performance. The evidence demonstrates the value of studying collaboration processes in context.
Infrared analysis of Glycine dissociation by MeV ions and keV electrons
Authors: da Costa C A P , Souza-Corrêa J A , da Silveira E F 
Published: December 2020

ABSTRACT
Knowledge on amino acid’s dissociation rates by solar wind is relevant for the study of biomaterial resistance in space. The radiolysis and sputtering of glycine by 1 keV electron beam and by 1.8 MeV H+, 1.5 MeV He+, and 1.5 MeV N+ ion beams are studied in laboratory at room temperature. Infrared spectroscopy is used to determine column density decrease rates and destruction cross-sections. Present results stand in good agreement with those found in the literature and show that over five orders of magnitude, apparent destruction cross-sections (which includes sputtering), σdap, are approximately proportional to the electronic stopping power, Se, that is σdap ≈ aSe, where 1/a ≈ 120 eV nm−3. This value corresponds to the mean absorbed energy density necessary to dissociate (and/or eject) glycine; if it is taken as the minimum energy for molecular destruction, than the stopping power threshold is 23 keV μm−1. Assuming σdap = aSe for electron and ion projectiles, the half-life of pure α-glycine is estimated for the solar wind processing at 1 au: about 10 D for protons or electrons and 40 D for He ions.
A two-component Comptonization model for the type-B QPO in MAXI J1348−630
Authors: García Federico , Méndez Mariano , Karpouzas Konstantinos , Belloni Tomaso , Zhang Liang , Altamirano Diego 
Published: December 2020

ABSTRACT
Spectral-timing analysis of the fast variability observed in X-rays is a powerful tool to study the physical and geometrical properties of the accretion/ejection flows in black hole (BH) binaries. The origin of type-B quasi-periodic oscillations (QPO), predominantly observed in BH candidates in the soft-intermediate state, has been linked to emission arising from the relativistic jet. In this state, the X-ray spectrum is characterized by a soft-thermal blackbody-like emission due to the accretion disc, an iron emission line (in the 6–7 keV range), and a power-law-like hard component due to inverse-Compton scattering of the soft-photon source by hot electrons in a corona or the relativistic jet itself. The spectral-timing properties of MAXI J1348−630 have been recently studied using observations obtained with the NICER observatory. The data show a strong type-B QPO at ∼4.5 Hz with increasing fractional rms amplitude with energy and positive lags with respect to a reference band at 2–2.5 keV. We use a variable-Comptonization model that assumes a sinusoidal coherent oscillation of the Comptonized X-ray flux and the physical parameters of the corona at the QPO frequency, to fit simultaneously the energy-dependent fractional rms amplitude and phase lags of this QPO. We show that two physically connected Comptonization regions can successfully explain the radiative properties of the QPO in the full 0.8–10 keV energy range.
Identification of new classical Ae stars in the Galaxy using LAMOST DR5
Authors: Anusha R , Mathew Blesson , Shridharan B , Arun R , Nidhi S , Banerjee Gourav , Kartha Sreeja S , Paul K T , Bhattacharyya Suman 
Published: December 2020

ABSTRACTWe report the first systematic study to identify and characterize a sample of classical Ae stars in the Galaxy. The spectra of these stars were retrieved from the A-star catalogue using the Large sky Area Multi-Object fibre Spectroscopic Telescope (LAMOST) survey. We identified the emission-line stars in this catalogue from which 159 are confirmed as classical Ae stars. This increases the sample of known classical Ae stars by about nine times from the previously identified 21 stars. The evolutionary phase of classical Ae stars in this study is confirmed from the relatively small mid- and far-infrared excess and from their location in the optical colour–magnitude diagram. We estimated the spectral type using MILES spectral templates and identified classical Ae stars beyond A3, for the first time. The prominent emission lines in the spectra within the wavelength range 3700–9000 Å are identified and compared with the features present in classical Be stars. The H α emission strength of the stars in our sample show a steady decrease from late-B type to Ae stars, suggesting that the disc size may be dependent on the spectral type. Interestingly, we noticed emission lines of Fe ii, O i, and Paschen series in the spectrum of some classical Ae stars. These lines are supposed to fade out by late B-type and should not be present in Ae stars. Further studies, including spectra with better resolution, is needed to correlate these results with the rotation rates of classical Ae stars.
HH 175: a giant Herbig–Haro flow emanating from a multiple protostar
Authors: Reipurth Bo , Friberg Per 
Published: December 2020

ABSTRACT
HH 175 is an isolated Herbig–Haro object seen towards the B35 cloud in the λ Ori region. We use deep Subaru 8 m interference filter images and Spitzer images to show that HH 175 is a terminal shock in a large collimated outflow from the nearby embedded source IRAS 05417+0907. The body of the eastern outflow lobe is hidden by a dense ridge of gas. The western outflow breaks out of the front of the cometary-shaped B35 cloud, carrying cloud fragments along, which are optically visible due to photoionization by the massive λ Ori stars. The total extent of the bipolar outflow is 13.7 arcmin, which at the adopted distance of 415 pc corresponds to a projected dimension of 1.65 pc. The embedded source IRAS 05417+0907 is located on the flow axis approximately midway between the two lobes, and near-infrared images show it to be a multiple system of six sources, with a total luminosity of 31 L⊙. Millimeter maps in CO, 13CO, and C18O show that the B35 cloud is highly structured with multiple cores, of which the one that spawned IRAS 05417+0907 is located at the apex of B35. It is likely that the embedded source is the result of compression by an ionization-shock front driven by the λ Ori OB stars.