bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seizure Risk in Patients Undergoing 30-Day Readmission After Continuous EEG Monitoring
Authors: Punia Vineet , Burgess Richard , Newey Christopher R. , Hantus Stephen 
Published: July 2020

Purpose:
The use of continuous electroencephalographic (cEEG) monitoring has improved the understanding of the seizure risk during acute hospitalization. However, the immediate posthospitalization seizure risk in these patients remains unknown. Patients undergoing 30-day readmission after initial cEEG monitoring were analyzed to fill this knowledge gap.

Methods:
A prospectively maintained cEEG database (January 1, 2015–December 31, 2015) was used to identify adults who underwent a repeat cEEG during their 30-day readmission after cEEG during their index hospitalization (index cEEG). Various demographical, clinical, and cEEG variables were extracted including indication for cEEG: altered mental status and clinical seizure-like events.

Results:
A total of 57 of the 2,485 (2.3%) adults undergoing index cEEG during the study period had concerns for seizures and underwent repeat cEEG during a 30-day readmission. These patients were almost three times more likely to have suffered electrographic seizure on the index admission (odds ratio, 2.82; 95% confidence interval, 1.54–5.15; P < 0.001) compared with non-readmitted patients. Seizure-like events led to the readmission of 40.4% patients. Close to one in five (19.3%) readmitted patients were found to have an electrographic seizure. Only variable predictive of seizure on readmission was seizure-like events (odds ratio, 6.4; 95% confidence interval, 1.2–33.0; P = 0.02).

Conclusions:
A small percentage of patients have clinical presentation concerning for seizures with in 30 days after index cEEG. The risk of electrographic seizures in this patient population is higher than patients who have cEEG monitoring but do not undergo a 30-day readmission requiring repeat cEEG. Future research on early identification of patients at risk of 30-day readmission because of concerns for seizure is needed.
Epidemiological dynamics of enterovirus D68 in the US: implications for acute flaccid myelitis
Authors: Park Sang Woo , Farrar Jeremy , Messacar Kevin , Meyers Lindsay , Pons-Salort Margarita , Grenfell Bryan T. 
Published: July 2020

The lack of active surveillance for enterovirus D68 (EV-D68) in the US has hampered the ability to assess the relationship with predominantly biennial epidemics of acute flaccid myelitis (AFM), a rare but serious neurological condition. Using novel surveillance data from the BioFire®Syndromic Trends (Trend) epidemiology network, we characterize the epidemiological dynamics of EV-D68 and demonstrate strong spatiotemporal association with AFM. Although the recent dominant biennial cycles of EV-D68 dynamics may not be stable, we show that a major EV-D68 epidemic, and hence an AFM outbreak, would still be possible in 2020 under normal epidemiological conditions. Significant social distancing due to the ongoing COVID-19 pandemic could reduce the size of an EV-D68 epidemic in 2020, illustrating the potential broader epidemiological impact of the pandemic.NOTEThis preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
Severity detection for the coronavirus disease 2019 (COVID-19) patients using a machine learning model based on the blood and urine tests
Authors: Yao Haochen , Zhang Nan , Zhang Ruochi , Duan Meiyu , Xie Tianqi , Pan Jiahui , Peng Ejun , Huang Juanjuan , Zhang Yingli , Xu Xiaoming , Xu Hong , Zhou Fengfeng , Wang Guoqing 
Published: July 2020

ABSTRACTThe recent outbreak of the coronavirus disease-2019 (COVID-19) caused serious challenges to the human society in China and across the world. COVID-19 induced pneumonia in human hosts and carried a highly inter-person contagiousness. The COVID-19 patients may carry severe symptoms, and some of them may even die of major organ failures. This study utilized the machine learning algorithms to build the COVID-19 severeness detection model. Support vector machine (SVM) demonstrated a promising detection accuracy after 32 features were detected to be significantly associated with the COVID-19 severeness. These 32 features were further screened for inter-feature redundancies. The final SVM model was trained using 28 features and achieved the overall accuracy 0.8148. This work may facilitate the risk estimation of whether the COVID-19 patients would develop the severe symptoms. The 28 COVID-19 severeness associated biomarkers may also be investigated for their underlining mechanisms how they were involved in the COVID-19 infections.
Learning and Sleep Have Divergent Effects on Cytosolic and Membrane-Associated Ribosomal mRNA Profiles in Hippocampal Neurons
Authors: Delorme James , Wang Lijing , Kodoth Varna , Wang Yifan , Ma Jingqun , Jiang Sha , Aton Sara J. 
Published: July 2020

AbstractThe hippocampus plays an essential role in consolidating transient experiences into long-lasting memories. Memory consolidation can be facilitated by post-learning sleep, although the underlying cellular mechanisms are undefined. Here, we addressed this question using a mouse model of hippocampally-mediated, sleep-dependent memory consolidation (contextual fear memory; CFM), which is known to be disrupted by post-learning sleep loss. We used translating ribosome affinity purification (TRAP) to quantify ribosome-associated RNAs in different subcellular compartments (cytosol and membrane) and in different hippocampal cell populations (either whole hippocampus, Camk2a+ excitatory neurons, or highly active neurons expressing phosphorylated ribosomal subunit S6 [pS6+]). Using RNA-seq, we examined how these transcript profiles change as a function of sleep vs. sleep deprivation (SD) and as a function of prior learning (contextual fear conditioning; CFC). Surprisingly, we found that while many mRNAs on cytosolic ribosomes were altered by sleep loss, almost none were altered by learning. Of the few changes in cytosolic ribosomal transcript abundance following CFC, almost all were occluded by subsequent SD. This effect was particularly pronounced in pS6+ neurons with the highest level of neuronal activity following CFC, suggesting SD-induced disruption of post-learning transcript changes in putative “engram” neurons. In striking contrast, far fewer transcripts on membranebound (MB) ribosomes were altered by SD, and many more mRNAs (and lncRNAs) were altered on MB ribosomes as a function of prior learning. For hippocampal neurons, cellular pathways most significantly affected by CFC were involved in structural remodeling. Comparisons of post-CFC transcript profiles between freely-sleeping and SD mice implicated changes in cellular metabolism in Camk2a+ neurons, and increased protein synthesis capacity in pS6+ neurons, as biological processes disrupted by post-learning sleep loss.
Short-Delay Neurofeedback Facilitates Training of the Parietal Alpha Rhythm
Authors: Belinskaia Anastasiia , Smetanin Nikolai , Lebedev Mikhail , Ossadtchi Alexei 
Published: July 2020

AbstractThe therapeutic effects of neurofeedback (NFB) remain controversial. Here we show that visual NFB of parietal electroencephalographic (EEG) alpha-activity is efficient only when delivered to human subjects at short latency, which guarantees that NFB arrives when an alpha spindle is still ongoing. NFB was displayed either as soon as EEG envelope was processed, or with an extra 250 or 500-ms delay. The time course of NFB-induced changes in the alpha rhythm clearly depended on NFB latency, as shown with the adaptive Neyman test. NFB had a strong effect on the alpha-spindle incidence rate, but not on their duration or amplitude. The sustained changes in alpha activity measured after the completion of NFB training were negatively correlated to latency, with the maximum change for the shortest tested latency and no change for the longest. Such a considerable effect of NFB latency on the alpha-activity temporal structure could explain some of the previous inconsistent results, where latency was neither controlled nor documented. Clinical practitioners and manufacturers of NFB equipment should add latency to their specifications while enabling latency monitoring and supporting short-latency operations.
Rapid host response to an infection with Coronavirus. Study of transcriptional responses with Porcine Epidemic Diarrhea Virus
Authors: Hou Wei , Liu Fei , van der Poel Wim H.M. , Hulst Marcel M. 
Published: July 2020

AbstractThe transcriptional response in Vero cells (ATCC®CCL-81) infected with the coronavirus Porcine Epidemic Diarrhea Virus (PEDV) was measured by RNAseq analysis 4 and 6 hours after infection. Differential expressed genes (DEGs) in PEDV infected cells were compared to DEGs responding in Vero cells infected with Mammalian Orthoreovirus (MRV). Functional analysis of MRV and PEDV DEGs showed that MRV increased the expression level of several cytokines and chemokines (e.g. IL6, CXCL10, IL1A, CXCL8 [alias IL8]) and antiviral genes (e.g. IFI44, IFIT1, MX1, OASL), whereas for PEDV no enhanced expression was observed for these “hallmark” antiviral and immune effector genes. Pathway and Gene Ontology “enrichment analysis” revealed that PEDV infection did not stimulate expression of genes able to activate an acquired immune response, whereas MRV did so within 6h. Instead, PEDV down-regulated the expression of a set of zinc finger proteins with putative antiviral activity and enhanced the expression of the transmembrane serine protease gene TMPRSS13 (alias MSPL) to support its own infection by virus-cell membrane fusion (Shi et al, 2017, Viruses, 9(5):114). PEDV also down-regulated expression of Ectodysplasin A, a cytokine of the TNF-family able to activate the canonical NFKB-pathway responsible for transcription of inflammatory genes like IL1B, TNF, CXCL8 and PTGS2. The only 2 cytokine genes found up-regulated by PEDV were Cardiotrophin-1, an IL6-type cytokine with pleiotropic functions on different tissues and types of cells, and Endothelin 2, a neuroactive peptide with vasoconstrictive properties. Furthermore, by comprehensive datamining in biological and chemical databases and consulting related literature we identified sets of PEDV-response genes with potential to influence i) the metabolism of biogenic amines (e.g. histamine), ii) the formation of cilia and “synaptic clefts” between cells, iii) epithelial mucus production, iv) platelets activation, and v) physiological processes in the body regulated by androgenic hormones (like blood pressure, salt/water balance and energy homeostasis). The information in this study describing a “very early” response of epithelial cells to an infection with a coronavirus may provide pharmacologists, immunological and medical specialists additional insights in the underlying mechanisms of coronavirus associated severe clinical symptoms including those induced by SARS-CoV-2. This may help them to fine-tune therapeutic treatments and apply specific approved drugs to treat COVID-19 patients.
Pyronaridine and artesunate are potential antiviral drugs against COVID-19 and influenza
Authors: Bae Joon-Yong , Lee Gee Eun , Park Heedo , Cho Juyoung , Kim Yung-Eui , Lee Joo-Yeon , Ju Chung , Kim Won-Ki , Kim Jin Il , Park Man-Seong 
Published: July 2020

AbstractSince the first human case was reported in Wuhan Province, China in December 2019, SARS-CoV-2 has caused millions of human infections in more than 200 countries worldwide with an approximately 4.01% case-fatality rate (as of 27 July, 2020; based on a WHO situation report), and COVID-19 pandemic has paralyzed our global community. Even though a few candidate drugs, such as remdesivir (a broad antiviral prodrug) and hydroxychloroquine, have been investigated in human clinical trials, their therapeutic efficacy needs to be clarified further to be used to treat COVID-19 patients. Here we show that pyronaridine and artesunate, which are the chemical components of anti-malarial drug Pyramax®, exhibit antiviral activity against SARS-CoV-2 and influenza viruses. In human lung epithelial (Calu-3) cells, pyronaridine and artesunate were highly effective against SARS-CoV-2 while hydroxychloroquine did not show any effect at concentrations of less than 100 μM. In viral growth kinetics, both pyronaridine and artesunate inhibited the growth of SARS-CoV-2 and seasonal influenza A virus in Calu-3 cells. Taken together, we suggest that artesunate and pyronaridine might be effective drug candidates for use in human patients with COVID-19 and/or influenza, which may co-circulate during this coming winter season.
A functional hierarchy for choice in medial prefrontal cortex
Authors: Maisson David J-N. , Cash-Padgett Tyler V. , Hayden Benjamin Y. , Heilbronner Sarah R. , Zimmermann Jan 
Published: July 2020

SUMMARYHierarchical approaches to functional neuroanatomy propose that choice-relevant brain regions have overlapping functions and can be organized into a series that progressively transforms information about options into choices. Here, we examined responses of neurons in four regions of the medial prefrontal cortex as macaques performed two-option risky choices. All four regions encoded economic variables in similar proportions and showed putative signatures of key choice-related computations. We found evidence for a hierarchical organization proceeding from areas 14→25→32→24. Specifically, we found that decodability of eight distinct task variables increased along that path, consistent with the idea that hierarchically later regions make these variables more separable. We also found longer intrinsic timescales in the same series, further supporting the idea of a hierarchy. Together these results highlight the importance of the medial wall in choice, endorse a specific hierarchical organization, and argue against a modular functional neuroanatomy of choice.
Subject structure of the research area on collaborative information behaviour
Authors: Sapa Remigiusz 
Published: July 2020

PurposeThe principal aim of the present study was to identify and model the subject structure of the research area on collaborative information behaviour (CIB).Design/methodology/approachA qualitative, inductive and exploratory approach was adopted, and the method of thematic analysis was used. This study was based on the analysis of 79 publications selected from the Library, Information Science and Technology Abstracts (LISTA) database in April 2019.FindingsCollaborative and collective information behaviours were differentiated, and the subject structure of the CIB research area was identified to contain collaborative activities oriented to both information access and content, their various conditions, means of conducting, experiences of selected communities and metascientific research on the area itself.Research limitations/implicationsThe limitations result primarily from relying on the research material selected from the database (LISTA) focussed mainly on the issues of library and information science.Originality/valueThis study contributes by proposing an original model of the CIB research area representing its subject structure and providing a coherent list of subjects of interest to CIB researchers. Hopefully, it will also contribute to the harmonisation of terminology related to this research area and thus facilitate communication between CIB researchers and accelerate the cumulative development of scientific knowledge on CIB.
Managing public–private partnerships: a transmission pattern of underlying dynamics determining project performance
Authors: Wang Dan , Wang Xueqing , Liu Mingshuai , Liu Henry , Liu Bingsheng 
Published: July 2020

PurposeThe performance of public–private partnerships (PPPs) can be determined by a variety of factors, i.e. influencing factors (IFs). This study is undertaken for a purpose of identifying how such factors determine the project's performance (i.e. factor transmission patterns), particularly from the key stakeholders' perspectives.Design/methodology/approachA hybrid approach, which comprises a Social Network Analysis, ISM (i.e. Interpretive Structural Modeling) and an improved DEMATEL (i.e. Decision-Making Trail and Evaluation Laboratory), was developed to analyze the causal relationships between the identified IFs as well as the transmission patterns of their impacts on PPPs. Data were collected from interviews and questionnaire surveys.FindingsThe transmission patterns of the identified IFs cascade from project environment and features and stakeholders' relationship to the project company capabilities and project process. It is identified that the public authority has a higher level than that of the private entity in PPPs.Research limitations/implicationsIt lacks longitudinal studies to investigate the dynamics of PPP stakeholder relationships and social networks. Future research needs to explore the transmission patterns of sub-factors affecting PPP performance and extend the applicability of the developed hybrid approach.Practical implicationsThis research provides practitioners with a robust tool that is useful for and insights into enhancing the management of lifecycle performance. It ensures the public authorities and private entities embarking on PPPs will make an informed decision about the monitoring of the life cycle performance.Originality/valueThis study contributes to knowledge of managerial mechanisms that can be adopted to manage factors determining the performance of PPPs. It enables an understanding of stakeholders' roles in driving the life cycle performance of PPPs.
Not all experiential consumers are created equals: the interplay of customer equity drivers on brand loyalty
Authors: Cuong Pham Hung , Nguyen Oanh Dinh Yen , Ngo Liem Viet , Nguyen Nguyen Phong 
Published: July 2020

PurposeThis study aims to use social exchange theory and the principle of reciprocity in proposing a theoretical model to examine the essential but unexplored unique roles of individual customer equity drivers (CEDs) and their contribution to brand loyalty. This study identifies a reciprocity pathway in that brand equity, which mediates the linkage between relationship equity and brand loyalty. This study further posits that the linkage between relationship equity and brand equity is contingent on value equity. The authors then incorporate value equity as a moderator upon which the interrelationships among CEDs and brand loyalty may vary.Design/methodology/approachA sample consisted of 2,268 shoppers in a metropolitan city in Vietnam.FindingsRelationship equity significantly determines brand loyalty through the moderating effect of value equity and the mediating effect of brand equity. Interestingly, these relationships are diverse across different experiential types of consumers.Research limitations/implicationsThis study contributes to a better understanding of why and when value equity, brand equity and relationship equity trigger brand loyalty. Brand equity and value equity are the two underlying mechanisms that establish a moderated mediation model between CEDs and brand loyalty. The findings of this study show that experiential consumers are not created equals. The strength of the relationships between CEDs and brand loyalty differ among the five clusters of experiential consumers.Practical implicationsThis study reveals the critical relationships between the three components of customer equity in the supermarket industry. The findings provide concrete direction for managers and marketers to be more effective in allocating resources, tailoring their marketing strategies and, accordingly, promoting brand loyalty of different types of consumers.Originality/valueThis study reveals the underlyingmodus operandithat explains the reciprocity effects of CEDs and the contingency role of brand experience on the CEDs–loyalty link. This study shows that brand equity fosters and sustains the reciprocity generated when consumers perceive a high level of relationship equity, serving as a mediator between relationship equity and brand loyalty. Importantly, value equity is an important moderator for strengthening this reciprocity effect. Furthermore, this study identifies a typology of experience-focussed consumers and shows that the CEDs–loyalty link significantly varies by these types of experiential appeal that characterise the consumers.
China's overcapacity industry evaluation based on TOPSIS grey relational projection method with mixed attributes
Authors: Hao Xiumei , Li Mingwei , Chen Yuting 
Published: July 2020

PurposeThis paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.Design/methodology/approachFirst, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information are converted into two-dimensional interval numbers and triangular fuzzy numbers, and an evaluation matrix is constructed and normalized. This paper uses the AHP method to determine the subjective weights and uses the coefficient of variation method to determine the objective weights. Moreover, this paper sets up the optimization model with the largest comprehensive evaluation value to determine the combined weights. Finally, the TOPSIS grey relational projection method is proposed to calculate the closeness of grey relational projections and to rank them.FindingsThis paper analyzes the problem of overcapacity in seven industries with the TOPSIS grey relational projection method. The results show that the four industries of automobile manufacturing, textile, coal and petrochemical are all in serious overcapacity levels, while the three industries of steel, nonferrous metals and electric power are relatively in weak overcapacity level in the three years of 2016–2018. TOPSIS grey relational projection method ranks the overcapacity degree of the seven major overcapacity industries, making the relative overcapacity degree of each industry more clear and providing a reference for the government to formulate targeted policies and measures for each industry.Practical implicationsBy using TOPSIS grey relational projection method to evaluate the overcapacity of the seven major overcapacity industries, on the one hand, it makes the relative overcapacity degree of each industry more clear, on the other hand, it can provides the basis for the government and decision-making departments. This helps them promote better the healthy and orderly economic development of the seven major industries and avoid resource waste caused by overcapacity.Originality/valueThis article solves the single evaluation method caused by the limited indicators in the past, combines TOPSIS and the grey relational projection method and applies it to the overcapacity evaluation of the industry, not only applies it to the evaluation of overcapacity for the first time but also involves novel problems and methods, which expands the scope of application of the model.