bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Social Distancing and Travel Restrictions on Non–Coronavirus Disease 2019 (Non–COVID-19) Respiratory Hospital Admissions in Young Children in Rural Alaska
Authors: Nolen Leisha D , Seeman Sara , Bruden Dana , Klejka Joe , Desnoyers Chris , Tiesinga James , Singleton Rosalyn 
Published: September 2020

Abstract
Hospitalizations due to non-coronavirus disease 2019 (non-COVID-19) respiratory illnesses decreased dramatically after social distancing was implemented in a high-risk population in rural Alaska; an unprecedented decline compared to the past 10 respiratory seasons. This demonstrates the potential secondary benefits of implementing social distancing and travel restrictions on respiratory illnesses.
The arteriovenous access stage (AVAS) classification
Authors: Baláž Peter , Hanko Jennifer , Magowan Hannah , Masengu Agnes , Lawrie Katarina , O’Neill Stephen 
Published: September 2020

Abstract

Background
Key anatomical factors mean that individuals needing arteriovenous access are unique and have different possibilities for fistula creation. The aim of this article is to describe a new classification system for all patients needing haemodialysis vascular access in the upper extremity with the purpose to simplify sharing the information about suitability for surgical access creation depending on vascular anatomy.

Methods
According to the patient’s vascular anatomy in right and left superior extremities, patients were separated into three arteriovenous access stages (AVAS). The AVAS was validated by three blinded observers using a sample of 70 upper limb arteriovenous maps that were performed using ultrasound on patients referred for vascular access assessment. A sample size calculation was performed and calculated that for three observers, a minimum of 67 maps were required to confirm significant agreement at a Kappa value of 0.9 (95% confidence interval 0.75–0.99).

Results
The Kappa value for inter-rater reliability using Fleiss’ Kappa coefficient was 0.94 and all patients fitted into the AVAS classification system.

Conclusion
The AVAS classification system is a simplified way to share information about vascular access options based on a patient’s vascular anatomy with high inter-rater reliability.
Distinguishing Non-Small Cell Lung Cancer Subtypes in Fine Needle Aspiration Biopsies by Desorption Electrospray Ionization Mass Spectrometry Imaging
Authors: Bensussan Alena V , Lin John , Guo Chunxiao , Katz Ruth , Krishnamurthy Savitri , Cressman Erik , Eberlin Livia S 
Published: September 2020

AbstractBACKGROUNDDistinguishing adenocarcinoma and squamous cell carcinoma subtypes of non-small cell lung cancers is critical to patient care. Preoperative minimally-invasive biopsy techniques, such as fine needle aspiration (FNA), are increasingly used for lung cancer diagnosis and subtyping. Yet, histologic distinction of lung cancer subtypes in FNA material can be challenging. Here, we evaluated the usefulness of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to diagnose and differentiate lung cancer subtypes in tissues and FNA samples.METHODSDESI-MSI was used to analyze 22 normal, 26 adenocarcinoma, and 25 squamous cell carcinoma lung tissues. Mass spectra obtained from the tissue sections were used to generate and validate statistical classifiers for lung cancer diagnosis and subtyping. Classifiers were then tested on DESI-MSI data collected from 16 clinical FNA samples prospectively collected from 8 patients undergoing interventional radiology guided FNA.RESULTSVarious metabolites and lipid species were detected in the mass spectra obtained from lung tissues. The classifiers generated from tissue sections yielded 100% accuracy, 100% sensitivity, and 100% specificity for lung cancer diagnosis, and 73.5% accuracy for lung cancer subtyping for the training set of tissues, per-patient. On the validation set of tissues, 100% accuracy for lung cancer diagnosis and 94.1% accuracy for lung cancer subtyping were achieved. When tested on the FNA samples, 100% diagnostic accuracy and 87.5% accuracy on subtyping were achieved per-slide.ConclusionsDESI-MSI can be useful as an ancillary technique to conventional cytopathology for diagnosis and subtyping of non-small cell lung cancers.
Cost- and Time-Based Data Deployment for Improving Scheduling Efficiency in Distributed Clouds
Authors: Li Chunlin , Zhang Yihan , Qu Xiaomei , Luo Youlong 
Published: September 2020

Abstract
In recent years, with the continuous development of internet of things and cloud computing technologies, data intensive applications have gotten more and more attention. In the distributed cloud environment, the access of massive data is often the bottleneck of its performance. It is very significant to propose a suitable data deployment algorithm for improving the utilization of cloud server and the efficiency of task scheduling. In order to reduce data access cost and data deployment time, an optimal data deployment algorithm is proposed in this paper. By modeling and analyzing the data deployment problem, the problem is solved by using the improved genetic algorithm. After the data are well deployed, aiming at improving the efficiency of task scheduling, a task progress aware scheduling algorithm is proposed in this paper in order to make the speculative execution mechanism more accurate. Firstly, the threshold to detect the slow tasks and fast nodes are set. Then, the slow tasks and fast nodes are detected by calculating the remaining time of the tasks and the real-time processing ability of the nodes, respectively. Finally, the backup execution of the slow tasks is performed on the fast nodes. While satisfying the load balancing of the system, the experimental results show that the proposed algorithms can obviously reduce data access cost, service-level agreement (SLA) default rate and the execution time of the system and optimize data deployment for improving scheduling efficiency in distributed clouds.
Language and Reading Comprehension Abilities of Elementary School-Aged Deaf Children
Authors: Crume Peter K , Lederberg Amy , Schick Brenda 
Published: September 2020

Abstract
Bilingual education programs for deaf children have long asserted that American Sign Language (ASL) is a better language of instruction English-like signing because ASL is a natural language. However, English-like signing may be a useful bridge to reading English. In the present study, we tested 32 deaf children between third and sixth grade to assess their capacity to use ASL or English-like signing in nine different languages and reading tasks. Our results found that there was no significant difference in the deaf children’s ability to comprehend narratives in ASL compared to when they are told in English-like signing. Additionally, language abilities in ASL and English-like signing were strongly related to each other and to reading. Reading was also strongly related to fingerspelling. Our results suggest that there may be a role in literacy instruction for English-like signing as a supplement to ASL in deaf bilingual schools.
Do Multinationals Transplant their Business Model?
Authors: Marin Dalia , Rousová Linda , Verdier Thierry 
Published: September 2020

Abstract
What determines whether or not multinational firms transplant the mode of organisation to other countries? We embed the theory of knowledge hierarchies in an industry equilibrium model of monopolistic competition to examine how the economic environment may affect the decision of multinational firms about transplanting the mode of organisation to other countries. We test the theory with original and matched parent and affiliate data on the level of decentralisation of 660 Austrian and German multinational firms and 2,200 of their affiliate firms in Eastern Europe. We find that market competition in both home and host markets is an important driver of organisational transfer to host countries: an increase in competition in the home (host) market by ten percentage points lowers (increases) the probability of transplanting by nine (seven) percentage points.
Optimal chest wall prosthesis: comparative study of mechanical and functional behaviour
Authors: Girotti Paolo Nicola Camillo , Königsrainer Ingmar , Pastorino Ugo , Girotti Ambrogio Luigi , Rosa Francesco 
Published: September 2020

Abstract

OBJECTIVES
Chest wall resections are most commonly performed for tumours, infection, radiation necrosis and trauma. Defects in the anterior chest greater than 5 cm, posterior defects more than 10 cm or resection including more than 3 ribs, independently of the location, require skeletal prosthetic reconstruction. The aim of this paper was to evaluate the strength of prostheses that reproduced the normal human anatomy using different materials subjected to the most dangerous loading conditions.

METHODS
The biomechanical behaviours of different prosthetic materials under critical rib fracture conditions were analysed using the finite element method and then validated through mechanical testing of 3-dimensional polymethylmethacrylate ribs as a prosthesis reproducing the native anatomy of the human ribcage.

RESULTS
The prosthetic materials and the polymethylmethacrylate prosthesis were tested under 3 load conditions: sternal load (an anterior–posterior load applied at the third rib); lateral load (strength applied at the lateral arch of the fifth rib) and vertical load (vertical load applied at the first sternocostal junction) and showed the same results in terms of failures compared to the results from the finite element method model simulation (same location and number of fractures were detected). Although the displacement error between the finite element method and experimental test was up to 5% overall, no other microcracking was observed.

CONCLUSIONS
This experimental study demonstrated that all prosthetic materials currently available for human use show optimal mechanical behaviour in term of resistance and organ protection. Specifically, polymethylmethacrylate was a good candidate as a prosthetic material in term of lightness, resistance and prosthetic weight.
Older Adults With Coronavirus Disease 2019: A Nationwide Study in Turkey
Authors: Esme Mert , Koca Meltem , Dikmeer Ayse , Balci Cafer , Ata Naim , Dogu Burcu Balam , Cankurtaran Mustafa , Yilmaz Meltem , Celik Osman , Unal Gulnihal Gokce , Ulgu Mustafa Mahir , Birinci Suayip 
Published: September 2020

Abstract

Background
A novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) occurred in China in December 2019 and has spread globally. In this study, we aimed to describe the clinical characteristics and outcomes of hospitalized older adults with coronavirus disease 2019 (COVID-19) in Turkey.

Methods
We retrospectively analyzed the clinical data of hospitalized patients aged ≥ 60 years with confirmed COVID-19 from March 11, 2020 to May 27, 2020 using nationwide health database.

Results
In this nationwide cohort, a total of 16,942 hospitalized older adults with COVID-19 were enrolled, of whom 8,635 (51%) were women. Mean age was 71.2 ± 8.5 years, ranging from 60 to 113 years. Mortality rate before and after curfew was statistically different (32.2% vs. 17.9%; p &lt; .001, respectively). Through multivariate analysis of the causes of death in older patients, we found that male gender, diabetes mellitus, heart failure, dementia, were all significantly associated with mortality in entire cohort. In addition to abovementioned risk factors, in patients aged between 60 and 79 years, hypertension, chronic kidney disease and cancer and in patients 80 years of age and older malnutrition were also associated with increased risk of mortality.

Conclusions
In addition to the results of previous studies with smaller sample size, our results confirmed the age-related relationship between specific comorbidities and COVID-19–related mortality.
Effects of a Modified Mindfulness-Based Cognitive Therapy for Family Caregivers of People With Dementia: A Randomized Clinical Trial
Authors: Kor Patrick Pui Kin , Liu Justina Y W , Chien Wai Tong 
Published: September 2020

Abstract

Background and Objectives
Family caregivers of people with dementia (PWD) experience high levels of stress resulting from caregiving. This study aimed to investigate the effects of a modified of Mindfulness-Based Cognitive Therapy (MBCT) for dementia caregiving.

Research Design and Methods
113 family caregivers of PWD were randomized to either the intervention group, receiving the 7-session modified MBCT for a period of 10 weeks with telephone follow-up or the control group, receiving the brief education on dementia care and usual care. The caregiving stress (primary outcome) and various psychological outcomes of caregivers and the behavioral and psychological symptoms of dementia (BPSD) in the care recipients were assessed and compared at baseline (T0), postintervention (T1), and at the 6-month follow-up (T2).

Results
At both T1 and T2, the intervention group had a statistically greater improvement in stress (p = .02 and .03), depression (p = .001 and .04), anxiety (p = .007 and .03), and BPSD-related caregivers’ distress (p = .003 and p = .04). A significant greater improvement was also demonstrated in mental health-related quality of life at T2 (p = .001) and BPSD of the care recipients at T1 (p = .04). The increased caregivers’ level of mindfulness was significantly correlated with the improvement of various psychological outcomes at T1 and T2 with a correlation coefficient −0.64 to 0.43.

Discussion and Implications
The modified MBCT enhanced the level of mindfulness in the caregivers and was effective to reduce the caregivers’ stress and promote their psychological well-being during a 6-month follow-up. Future research is recommended to further examine its effects on the varieties of psychological and behavioral outcomes of both caregivers and care recipients and their dyadic relationships, as well as explore its mechanism of action in facilitating dementia caregiving.

Clinical Trials Registration Number
NCT03354819
DirectP-wave anisotropy measurements at Homestake Mine: implications for wave propagation in continental crust
Authors: Atterholt James , Brownlee Sarah J , Pavlis Gary L 
Published: September 2020

SUMMARYWe measured anisotropic seismic properties of schists of the Homestake Formation located at a depth of 1478 m in the Sanford Underground Research Facility (SURF) in the Black Hills of South Dakota, USA. We deployed a 24-element linear array of three-component geophones in an area in the Homestake Mine called 19-ledge. An airless jackhammer source was used to shoot two profiles: (1) a walkaway survey to appraise any distance dependence and (2) a fan shot profile to measure variations with azimuth. Slowness estimates from the fan shot profile show a statistically significant deviation with azimuth with the expected 180° variation with azimuth. We measured P-wave particle motion deviations from data rotated to ray coordinates using three methods: (1) a conventional principal component method, (2) a novel grid search method that maximized longitudinal motion over a range of search angles and (3) the multiwavelet method. The multiwavelet results were computed in two frequency bands of 200–600 and 100–300 Hz. Results were binned by azimuth and averaged with a robust estimation method with error bars estimated by a bootstrap method. The particle motion results show large, statistically significant variations with azimuth with a 180° cyclicity. We modelled the azimuthal variations in compressional wave speed and angular deviation from purely longitudinal particle motion of P-waves using an elastic tensor method to appraise the relative importance of crystalline fabric relative to fracturing parallel to foliation. The model used bulk averages of crystal fabric measured for an analogous schist sample from southeast Vermont rotated to the Homestake Formation foliation directions supplied by SURF from old mine records. We found with average crustal crack densities crack induced anisotropy had only a small effect on the observables. We found strong agreement in the traveltime data. The observed amplitudes of deviations of P particle motion showed significantly larger variation than the model predictions and a 20° phase shift in azimuth. We attribute the inadequacies of the model fit to the particle motion data to inadequacies in the analogue rock and/or near receiver distortions from smaller scale heterogeneity. We discuss the surprising variability of signals recorded in this experimental data. We show clear examples of unexplained resonances and unexpected variations on a scale much smaller than a wavelength that has broad implications for wave propagation in real rocks.
Functional Morphology of Gliding Flight II. Morphology Follows Predictions of Gliding Performance
Authors: Rader Jonathan A , Hedrick Tyson L , He Yanyan , Waldrop Lindsay D 
Published: September 2020

Abstract
The evolution of wing morphology among birds, and its functional consequences, remains an open question, despite much attention. This is in part because the connection between form and function is difficult to test directly. To address this deficit, in prior work, we used computational modeling and sensitivity analysis to interrogate the impact of altering wing aspect ratio (AR), camber, and Reynolds number on aerodynamic performance, revealing the performance landscapes that avian evolution has explored. In the present work, we used a dataset of three-dimensionally scanned bird wings coupled with the performance landscapes to test two hypotheses regarding the evolutionary diversification of wing morphology associated with gliding flight behavior: (1) gliding birds would exhibit higher wing AR and greater chordwise camber than their non-gliding counterparts; and (2) that two strategies for gliding flight exist, with divergent morphological conformations. In support of our first hypothesis, we found evidence of morphological divergence in both wing AR and camber between gliders and non-gliders, suggesting that wing morphology of birds that utilize gliding flight is under different selective pressures than the wings of non-gliding taxa. Furthermore, we found that these morphological differences also yielded differences in coefficient of lift measured both at the maximum lift to drag ratio and at minimum sinking speed, with gliding taxa exhibiting higher coefficient of lift in both cases. Minimum sinking speed was also lower in gliders than non-gliders. However, contrary to our hypothesis, we found that the maximum ratio of the coefficient of lift to the coefficient of drag differed between gliders and non-gliders. This may point to the need for gliders to maintain high lift capability for takeoff and landing independent of gliding performance or could be due to the divergence in flight styles among gliders, as not all gliders are predicted to optimize either quantity. However, direct evidence for the existence of two morphologically defined gliding flight strategies was equivocal, with only slightly stronger support for an evolutionary model positing separate morphological optima for these strategies than an alternative model positing a single peak. The absence of a clear result may be an artifact of low statistical power owing to a relatively small sample size of gliding flyers expected to follow the “aerial search” strategy.
Peeking Inside the Lizard Brain: Neuron Numbers in Anolis and Its Implications for Cognitive Performance and Vertebrate Brain Evolution
Authors: Storks Levi , Powell Brian J , Leal Manuel 
Published: September 2020

Abstract
Studies of vertebrate brain evolution have mainly focused on measures of brain size, particularly relative mass and its allometric scaling across lineages, commonly with the goal of identifying the substrates that underly differences in cognition. However, recent studies on birds and mammals have demonstrated that brain size is an imperfect proxy for neuronal parameters that underly function, such as the number of neurons that make up a given brain region. Here we present estimates of neuron numbers and density in two species of lizard, Anolis cristatellus and A. evermanni, representing the first such data from squamate species, and explore its implications for differences in cognitive performance and vertebrate brain evolution. The isotropic fractionator protocol outlined in this article is optimized for the unique challenges that arise when using this technique with lineages having nucleated erythrocytes and relatively small brains. The number and density of neurons and other cells we find in Anolis for the telencephalon, cerebellum, and the rest of the brain (ROB) follow similar patterns as published data from other vertebrate species. Anolis cristatellus and A. evermanni exhibited differences in their performance in a motor task frequently used to evaluate behavioral flexibility, which was not mirrored by differences in the number, density, or proportion of neurons in either the cerebellum, telencephalon, or ROB. However, the brain of A. evermanni had a significantly higher number of nonneurons across the whole brain, which could contribute to the observed differences in problem solving between A. cristatellus and A. evermanni. Although limited to two species, our findings suggest that neuron number and density in lizard brains scale similarly to endothermic vertebrates in contrast to the differences observed in brain to body mass relationships. Data from a wider range of species are necessary before we can fully understand vertebrate brain evolution at the neuronal level.
An unexplained death after routine cardiac surgery: how long have we dealt with coronavirus disease 2019?
Authors: Varela Barca Laura , Torralba Cloquell Isabel , Herrero Cereceda Jaime , Sáez de Ibarra Jose Ignacio 
Published: September 2020

Abstract
We present a case report of fatal respiratory failure after cardiac surgery in the early stages of the coronavirus disease 2019 outbreak. Although not supported by epidemiological data nor clinical course, coronavirus disease 2019 infection was revealed post-mortem by immunohistochemical detection of the severe acute respiratory syndrome coronavirus 2 spike protein in lung tissue.
Convergence of nonlinear finite volume schemes for two-phase porous media flow on general meshes
Authors: Agélas Léo , Schneider Martin , Enchéry Guillaume , Flemisch Bernd 
Published: September 2020

Abstract
In this work we present an abstract finite volume discretization framework for incompressible immiscible two-phase flow through porous media. A priori error estimates are derived that allow us to prove the existence of discrete solutions and to establish the proof of convergence for schemes belonging to this framework. In contrast to existing publications the proof is not restricted to a specific scheme and it assumes neither symmetry nor linearity of the flux approximations. Two nonlinear schemes, namely a nonlinear two-point flux approximation and a nonlinear multipoint flux approximation, are presented, and some properties of these schemes, e.g. saturation bounds, are proven. Furthermore, the numerical behavior of these schemes (e.g. accuracy, coercivity, efficiency or saturation bounds) is investigated for different test cases for which the coercivity is checked numerically.