bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic Sclerosis Is Associated With Increased Inpatient Mortality in Patients Admitted for Atrial Fibrillation
Authors: Edigin Ehizogie , Ojemolon Pius Ehiremen , Eseaton Precious Obehi , Shaka Hafeez , Akuna Emmanuel , Asemota Iriagbonse Rotimi , Manadan Augustine 
Published: September 2020

Purpose
The aim of this study was to compare the outcomes of patients primarily admitted for atrial fibrillation (AFib) with and without a secondary diagnosis of systemic sclerosis (SSc). The primary outcome was inpatient mortality. Hospital length of stay (LOS), total hospital charges, odds of undergoing ablation, and electrical cardioversion were secondary outcomes of interest.

Methods
Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 Database. The NIS was searched for adult hospitalizations with AFib as principal diagnosis with and without SSc as secondary diagnosis using International Classification of Diseases, Tenth Revision, Clinical Modification codes. Multivariate logistic and linear regression analysis was used accordingly to adjust for confounders.

Results
There were over 71 million discharges included in the combined 2016 and 2017 NIS database. Of 821,630 AFib hospitalizations, 750 (0.09%) had SSc. The adjusted odds ratio for inpatient mortality for AFib with coexisting SSc compared with without coexisting SSc was 3.3 (95% confidence interval, 1.27–8.52; p = 0.014). Atrial fibrillation with coexisting SSc hospitalizations had similar LOS (4.2 vs 3.4 days; p = 0.767), mean total hospital charges ($40,809 vs $39,158; p = 0.266), odds of undergoing ablation (2.7% vs 4.2%; p = 0.461), and electrical cardioversion (12.0% vs 17.5%; p = 0.316) compared with without coexisting SSc.

Conclusions
Patients admitted primarily for AFib with a secondary diagnosis of SSc have more than 3 times the odds of inpatient death compared with those without coexisting SSc. Hospital LOS, total hospital charges, likelihood of undergoing ablation, and electrical cardioversion were similar in both groups.
Clinical Findings of Cholesteatoma Behind an Intact Tympanic Membrane in Adults
Authors: Lou Zhengcai 
Published: September 2020

Objective:
The aim of this study was to describe the clinical features and surgical results in a series of adult intact tympanic membrane cholesteatoma (ITMC).

Materials and Methods:
The author retrospectively analyzed 17 adult patients diagnosed with ITMC who underwent surgery. The author investigated the demographic data, presenting symptoms, endoscopic findings, disease location, surgical technique, post-operative complications, and outcomes.

Results:
Diagnosis was made based on a white mass behind an intact tympanic membrane in 14 cases and on explorative surgery and CT in the remaining 3 patients. ITMC presented as a cystic lesion with a complete capsule. ITMCs were removed through an endoscopic endaural approach combined with cartilage myringoplasty in 14 cases and intact canal wall mastoidectomy was performed in 3 cases. No recurrent cholesteatoma or iatrogenic sensorineural hearing loss was observed during the follow-up period. The mean ABG was 17.7 ± 2.7 dB perioperatively and 10.2 ± 1.3 dB postoperatively.

Conclusions:
Intact tympanic membrane cholesteatoma in adults may have both congenital and acquired origins, but it is not possible to differentiate between a slow growing acquired or indolent congenital cholesteatoma. ITMC typically presents as a cystic lesion with a complete capsule that can be treated successfully via an endoscopic tympanotomy approach, but in a minority of cases a more extensive mastoidectomy may be required.
What Does the Public Want to Know About The COVID-19 Pandemic? A Systematic Analysis of Questions Asked in The Internet
Authors: George Jaiben , Gautam Deepak , Kesarwani Vartika , Sugumar PonAravindhan A , Malhotra Rajesh 
Published: September 2020

ABSTRACTBackgroundQuora is a popular question and answer (Q&A) website that enables people to connect with others and clear their doubts about the coronavirus disease (COVID-19). In this study, we analysed the content, type and quality of Q&As in Quora regarding this pandemic, and compared the information with that on World Health Organization (WHO) website.MethodsWe conducted a systematic search to include 964 questions in Quora. The tone of the question was categorized as either positive (questions with a primary intent to obtain information), negative (questions which represent panic or are related to misconception/false information) or ambivalent. The two most helpful answers of each question were graded for accuracy, authority, popularity, readability, and relevancy.Results462 (48%) questions were classified as positive, while 391 (41%) were negative. Number of views were higher for negative questions (11421 vs 7300, p=0.004). Majority of the questions were on social impact (N=217, 23%), followed by politics (N=122, 13%) and disease management (N=96, 10%). Positive questions had more accurate, but less popular answers (p<0.05). Information related to 229 (28%) questions were present on WHO website, while partial information was present for 103 (11%) questions.DiscussionHigher views with negative questions suggest that false and panic promoting information is more likely to get public attention. A substantial amount of questions was related to the present and future effects of COVID-19 on social and personal lives of the users which were not readily available on official health websites.FundingNone
COVID-19 epidemic severity is associated with timing of non-pharmaceutical interventions
Authors: Ragonnet-Cronin Manon , Boyd Olivia , Geidelberg Lily , Jorgensen David , Nascimento Fabricia F. , Siveroni Igor , Johnson Robert , Baguelin Marc , Cucunubá Zulma M , Jauneikaite Elita , Mishra Swapnil , Thompson Hayley A , Watson Oliver , Ferguson Neil , Donnelly Christl A. , Volz Erik 
Published: September 2020

AbstractBackgroundUnprecedented public health interventions including travel restrictions and national lockdowns have been implemented to stem the COVID-19 epidemic, but the effectiveness of non-pharmaceutical interventions is still debated. International comparisons are hampered by highly variable conditions under which epidemics spread and differences in the timing and scale of interventions. Cumulative COVID-19 morbidity and mortality are functions of both the rate of epidemic growth and the duration of uninhibited growth before interventions were implemented. Incomplete and sporadic testing during the early COVID-19 epidemic makes it difficult to identify how long SARS-CoV-2 was circulating in different places. SARS-CoV-2 genetic sequences can be analyzed to provide an estimate of both the time of epidemic origin and the rate of early epidemic growth in different settings.MethodsWe carried out a phylogenetic analysis of more than 29,000 publicly available whole genome SARS-CoV-2 sequences from 57 locations to estimate the time that the epidemic originated in different places. These estimates were cross-referenced with dates of the most stringent interventions in each location as well as the number of cumulative COVID-19 deaths following maximum intervention. Phylodynamic methods were used to estimate the rate of early epidemic growth and proxy estimates of epidemic size.FindingsThe time elapsed between epidemic origin and maximum intervention is strongly associated with different measures of epidemic severity and explains 46% of variance in numbers infected at time of maximum intervention. The reproduction number is independently associated with epidemic severity. In multivariable regression models, epidemic severity was not associated with census population size. The time elapsed between detection of initial COVID-19 cases to interventions was not associated with epidemic severity, indicating that many locations experienced long periods of cryptic transmission.InterpretationLocations where strong non-pharmaceutical interventions were implemented earlier experienced much less severe COVID-19 morbidity and mortality during the period of study.FundingMRC is jointly funded by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement and this award is part of the EDCTP2 programme supported by the European Union (MR/R015600/1). RJ and EV acknowledge funding from the European Commission (CoroNAb 101003653). EV additionally acknowledges funding from the Wellcome Trust (220885/Z/20/Z).
Reconstruction Algorithms for DNA-Storage Systems
Authors: Sabary Omer , Yucovich Alexander , Shapira Guy , Yaakobi Eitan 
Published: September 2020

AbstractIn thetrace reconstruction problema length-nstringxyields a collection of noisy copies, calledtraces,y1, …,ytwhere eachyiis independently obtained fromxby passing through adeletion channel, which deletes every symbol with some fixed probability. The main goal under this paradigm is to determine the required minimum number of i.i.d traces in order to reconstructxwith high probability. The trace reconstruction problem can be extended to the model where each trace is a result ofxpassing through adeletion-insertion-substitution channel, which introduces also insertions and substitutions. Motivated by the storage channel of DNA, this work is focused on another variation of the trace reconstruction problem, which is referred by theDNA reconstruction problem. ADNA reconstruction algorithmis a mappingwhich receivesttracesy1, …,ytas an input and produces, an estimation ofx. The goal in the DNA reconstruction problem is to minimize the edit distancebetween the original string and the algorithm’s estimation. For the deletion channel case, the problem is referred by thedeletion DNA reconstruction problemand the goal is to minimize the Levenshtein distance.In this work, we present several new algorithms for these reconstruction problems. Our algorithms look globally on the entire sequence of the traces and use dynamic programming algorithms, which are used for theshortest common supersequenceand thelongest common subsequenceproblems, in order to decode the original sequence. Our algorithms do not require any limitations on the input and the number of traces, and more than that, they perform well even for error probabilities as high as 0.27. The algorithms have been tested on simulated data as well as on data from previous DNA experiments and are shown to outperform all previous algorithms.
Activation of group II metabotropic receptors attenuates cortical E-I imbalance in a 15q13.3 microdeletion mouse model
Authors: Funk Marzieh , Schuelert Niklas , Jaeger Stefan , Dorner-Ciossek Cornelia , Rosenbrock Holger , Mack Volker 
Published: September 2020

AbstractAnimal models reflecting human risk for schizophrenia are essential research tools for gaining further insight into the convergence of CNS pathology and clinical biomarkers. Amongst the variety of animal models that display schizophrenia-related neuronal network deficits, transgenic mice for rare and highly penetrant copy number variants (CNVs) provide a unique opportunity to study pathological correlates in models with strong construct validity. The Df(h15q13)/+ mouse model of the human 15q13.3 microdeletion CNV has been shown to mimic deficits in parvalbumin positive (PV+) interneuron and cortical network function. However, the corresponding changes in synapse density and activity within the medial prefrontal cortex (mPFC) have not been described. Using high-content immunofluorescence imaging, we have shown a reduced density of PV+ neurons and inhibitory synapses in the mPFC of Df(h15q13)/+ mice. We found that the reduced detection of PV+ synapses were accompanied by changes in spontaneous inhibitory and excitatory synaptic activity onto layer 2/3 pyramidal neurons. The aberrant cortical function was also evident in awake animals by a reduced high frequency auditory steady-state responses (ASSR), reliably monitored by EEG. Importantly, the imbalance of excitatory to inhibitory function could be attenuated on a cellular and cortical network level by activation of mGlu2/3 receptors, indicating the relevance of excessive excitatory transmission to the cortical network deficit in the Df(15q13)/+ mouse model. Our findings highlight the preclinical value of genetic risk and in particular CNV models such as the Df(15q13)/+ mice to investigate pathological network correlates of schizophrenia risk and to probe therapeutic opportunities based on clinically relevant biomarkers.
Overt and covert prosody are reflected in neurophysiological responses previously attributed to grammatical processing
Authors: Glushko Anastasia , Poeppel David , Steinhauer Karsten 
Published: September 2020

AbstractRecent neurophysiological research suggests that slow cortical activity tracks hierarchical syntactic structure during online sentence processing (e.g., Ding, Melloni, Zhang, Tian, & Poeppel, 2016). Here we tested an alternative hypothesis: electrophysiological activity peaks at sentence constituent frequencies reflect cortical tracking of overt or covert (implicit) prosodic grouping. In three experiments, participants listened to series of sentences while electroencephalography (EEG) was recorded. First, prosodic cues in the sentence materials were neutralized. We found an EEG spectral power peak elicited at a frequency that only ‘tagged’ covert prosodic change, but not any major syntactic constituents. In the second experiment, participants listened to a series of sentences with overt prosodic grouping cues that either aligned or misaligned with the syntactic phrasing in the sentences (initial overt prosody trials). Immediately after each overt prosody trial, participants were presented with a second series of sentences (covert prosody trial) with all overt prosodic cues neutralized and asked to imagine the prosodic contour present in the previous, overt prosody trial. The EEG responses reflected an interactive relationship between syntactic processing and prosodic tracking at the frequencies of syntactic constituents (sentences and phrases): alignment of syntax and prosody boosted EEG responses, whereas their misalignment had an opposite effect. This was true for both overt and covert (imagined) prosody. We conclude that processing of both overt and covert prosody is reflected in the frequency tagged neural responses at sentence constituent frequencies, whereas identifying neural markers that are narrowly reflective of syntactic processing remains difficult and controversial.
Interactions between SARS-CoV-2 and Influenza and the impact of coinfection on disease severity: A test negative design
Authors: Stowe J , Tessier E , Zhao H , Guy R , Muller-Pebody B , Zambon M , Andrews N , Ramsay M , Bernal J Lopez 
Published: September 2020

AbstractBackgroundThe potential impact of COVID-19 alongside influenza on morbidity, mortality and health service capacity is a major concern as the Northern Hemisphere winter approaches. This study investigates the interaction between influenza and COVID-19 during the latter part of the 2019-20 influenza season in England.MethodsIndividuals tested for influenza and SARS-CoV-2 were extracted from national surveillance systems between 20/01/2020 and 25/04/2020. To estimate influenza infection on the risk of SARS-CoV-2 infection, univariable and multivariable analyses on the odds of SARS-CoV-2 in those who tested positive for influenza compared to those who tested negative for influenza. To assess whether a coinfection was associated with severe SARS-CoV-2 outcome, univariable and multivariable analyses on the odds of death adjusted for age, sex, ethnicity, comorbidity and coinfection status.FindingsThe risk of testing positive for SARS-CoV-2 was 58% lower among influenza positive cases, suggesting possible pathogenic competition between the two viruses. Patients with a coinfection had a risk of death of 5.92 (95% CI, 3.21-10.91) times greater than among those with neither influenza nor SARS-CoV-2 and 2.27 (95% CI, 1.23 to 4.19) greater than COVID alone suggesting possible synergistic effects in coinfected individuals. The odds of ventilator use or death and ICU admission or death was greatest among coinfection patients showing strong evidence of an interaction effect compared to SARS-CoV-2/influenza acting independently.InterpretationCocirculation of these viruses could have a significant impact on morbidity, mortality and health service demand. Testing for influenza alongside SARS-CoV-2 and maximising influenza vaccine uptake should be prioritised to mitigate these risks.FundingThis study was funded by Public Health England
Relating neural oscillations to laminar fMRI connectivity
Authors: Scheeringa René , Bonnefond Mathilde , van Mourik Tim , Jensen Ole , Norris David G. , Koopmans Peter J. 
Published: September 2020

SummaryLaminar fMRI holds the potential to study connectivity at the laminar level in humans. Here we analyze simultaneously recorded EEG and high resolution fMRI data to investigate how EEG power modulations, induced by a task with an attentional component, relate to changes in fMRI laminar connectivity between and within brain regions. Our results indicate that our task induced decrease in beta power relates to an increase in deep-to-deep layer coupling between regions and to an increase in deep/middle-to-superficial layer connectivity within brain regions. The attention-related alpha power decrease predominantly relates to reduced connectivity between deep and superficial layers within brain regions, since, unlike beta power, alpha power was found to be positively correlated to connectivity. We observed no strong relation between laminar connectivity and gamma band oscillations. These results indicate that especially beta band, and to a lesser extent alpha band oscillations relate to laminar specific fMRI connectivity. These differential effects for the alpha and beta bands suggest a complex picture of possibly co-occurring neural processes that can differentially affect laminar connectivity.
A decision support model for subcontractor selection using a hybrid approach of QFD and AHP-improved grey correlation analysis
Authors: Chen Xiaobo , Ding Yanfeng , Cory Clark A. , Hu Yingwen , Wu Kuo-Jui , Feng Xiaoyi 
Published: September 2020

PurposeThe purpose of this paper is to propose a subcontractor selection model to fully consider the impact of construction enterprise demands on subcontractor selection. The objectives are to understand the translating process of specific enterprise demands to the evaluating criteria and the weight calculation process.Design/methodology/approachA three-stage model of subcontractor selection was designed based on quality function deployment (QFD), analytic hierarchy process (AHP) and improved grey correlation analysis (IGCA). In the proposed model, specific enterprise demands are translated by the QFD method, and the weights of the criteria are determined by the IGCA. The AHP is used to quantify the exporters' experience and construct the judgment matrix, which is used as inputting of the grey correlation analysis.FindingsThe proposed model provides a feasible process for subcontractor selection by fully considering the actual requirements of the project. By combining the company requirements and project requirement to put forward the requirements of the target subcontractor, the selection process ensures that the selected subcontractor and the project have a higher “fit”Originality/valueFew researches on construction subcontractor selection have taken into account the “voice” of the company's stakeholders. Therefore, this paper designs a three-stage construction subcontractor selection model by introducing QFD to achieve the transmission of “voice” in the subcontractor selection process, so as to take full consideration of the project objectives and the needs of the company's stakeholders. Meanwhile, in order to decrease the subjective of weight calculation, this paper designs an AHP-IGCA allocation method to determine the weight of relevant indicators. By integrating the proposed weight calculation method and QFD method, the subcontractor selection results become more reasonable and objective.
How does ethical leadership boost follower's creativity? Examining mediation and moderation mechanisms
Authors: Nazir Sajjad , Shafi Amina , Asadullah Muhammad Ali , Qun Wang , Khadim Sahar 
Published: September 2020

PurposeThe main purpose of this study is to investigate the mechanism through voice behavior mediates the relationship between ethical leadership and employees' creativity. This study also examines the moderating role of psychological empowerment and innovative climate between ethical leadership and employee creativity.Design/methodology/approachWe used a survey questionnaire to collect multi-wave data from 295 employees working in the IT sector to test the proposed hypotheses of this study.FindingsThe findings revealed that ethical leadership boosts employee creativity, and voice behavior mediates the positive relationship between ethical leadership and employee creativity. Moreover, the results confirm the significant moderating role of psychological empowerment on the relationship between ethical leadership and voice behavior. A positive moderation of innovative climate was also confirmed in the association between voice behavior and creativity. Employees with supportive innovative climate adopt creative behavior when they can voice their concerns freely.Practical implicationsEthical leadership is a vital tool for fostering employee's creativity by providing autonomy to raise their voice at the workplace in the emerging markets.Originality/valueThis is one of the leading researches to emphasize the role of ethical leadership for employee creativity, and the key contribution is to discover voice as a potential mediator for ethical leadership and an innovative climate as a potential moderator in the relationship between voice behavior and employee creativity.
Artificial intelligence in the fashion industry: consumer responses to generative adversarial network (GAN) technology
Authors: Sohn Kwonsang , Sung Christine Eunyoung , Koo Gukwon , Kwon Ohbyung 
Published: September 2020

PurposeThis study examines consumers' evaluations of product consumption values, purchase intentions and willingness to pay for fashion products designed using generative adversarial network (GAN), an artificial intelligence technology. This research investigates differences between consumers' evaluations of a GAN-generated product and a non-GAN-generated product and tests whether disclosing the use of GAN technology affects consumers' evaluations.Design/methodology/approachSample products were developed as experimental stimuli using cycleGAN. Data were collected from 163 members of Generation Y. Participants were assigned to one of the three experimental conditions (i.e. non-GAN-generated images, GAN-generated images with disclosure and GAN-generated images without disclosure). Regression analysis and ANOVA were used to test the hypotheses.FindingsFunctional, social and epistemic consumption values positively affect willingness to pay in the GAN-generated products. Relative to non-GAN-generated products, willingness to pay is significantly higher for GAN-generated products. Moreover, evaluations of functional value, emotional value and willingness to pay are highest when GAN technology is used, but not disclosed.Originality/valueThis study evaluates the utility of GANs from consumers' perspective based on the perceived value of GAN-generated product designs. Findings have practical implications for firms that are considering using GANs to develop products for the retail fashion market.