bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Analysis of Early Dynamic Trends in Novel Coronavirus Outbreak: A Modeling Framework
Authors: Lin Huazhen , Liu Wei , Gao Hong , Nie Jinyu , Fan Qiao 
Published: February 2020

AbstractBackgroundThe 2019 coronavirus disease (COVID-19) represents a significant public health threat globally. Here we describe efforts to compare epidemic growth, size and peaking time for countries in Asia, Europe, North America, South America and Australia in the early epidemic phase.MethodsUsing the time series of cases reported from January 20, 2020 to February 13, 2020 and transportation data from December 1, 2019 to January 23, 2020 we have built a novel time-varying growth model to predict the epidemic trend in China. We extended our method, using cases reported from January 26, 2020 - or the date of the earliest case reported, to April 9, 2020 to predict future epidemic trend and size in 41 countries. We estimated the impact of control measures on the epidemic trend.ResultsOur time-varying growth model yielded high concordance in the predicted epidemic size and trend with the observed figures in C hina. Among the other 41 countries, the peak time has been observed in 28 countries before or around April 9, 2020; the peak date and epidemic size were highly consistent with our estimates. We predicted the remaining countries would peak in April or May 2020, except India in July and Pakistan in August. The epidemic trajectory would reach the plateau in May or June for the majority of countries in the current wave. Countries that could emerge to be new epidemic centers are India, Pakistan, Brazil, Mexico, and Russia with a prediction of 105 cases for these countries. The effective reproduction number Rt displayed a downward trend with time across countries, revealing the impact of the intervention remeasures i.e. social distancing. Rt remained the highest in the UK (median 2.62) and the US (median 2.19) in the fourth week after the epidemic onset.ConclusionsNew epidemic centers are expected to continue to emerge across the whole world. Greater challenges such as those in the healthcare system would be faced by developing countries in hotspots. A domestic approach to curb the pandemic must align with joint international efforts to effectively control the spread of COVID-19. Our model promotes a reliable transmissibility characterization and epidemic forecasting using the incidence of cases in the early epidemic phase.
Postpartum fluoxetine increases maternal hippocampal IL-1β and decreased plasma tryptophan: clues for efficacy
Authors: Qiu Wansu , Duarte-Guterman Paula , Eid Rand S. , Go Kimberly A. , Lamers Yvonne , Galea Liisa A. M. 
Published: February 2020

ABSTRACTPerinatal depression (PND) affects approximately 15% of women, andde novopostpartum depression affects approximately 40% of PND cases. Selective serotonin reuptake inhibitors (SSRIs) are a common class of antidepressants prescribed to treat PND. However, the safety and efficacy of SSRIs have been questioned in both clinical and preclinical research. Here, using a preclinical rodent model of postpartum depression, we aim to better understand neuroinflammatory cytokines and tryptophan mechanisms that may be related to SSRIs efficacy. Rodent dams were treated with high corticosterone (CORT; 40mg/kg, s.c.) for 21 days in the postpartum period to simulate depressive-like behaviors in the late postpartum period. Concurrently, a subset of dams was treated with the SSRI, fluoxetine (FLX; 10mg/kg, s.c.), in the postpartum period. We showed, consistent with previous studies, that although maternal FLX treatment prevented CORT-induced disturbances in maternal care behavior during the early postpartum, it failed to prevent the expression of CORT-induced depressive-like behavior in the late postpartum. Furthermore, FLX treatment, regardless of CORT treatment, increased maternal hippocampal IL-1β and decreased maternal plasma tryptophan levels, plasma tryptophan, 4’-pyridoxic acid, and pyridoxal concentrations. Maternal CORT treatment reduced maternal hippocampal TNF-α and IFN-γ levels. Our work suggests that the limited efficacy of FLX in the late postpartum may be associated with elevated levels of the proinflammatory cytokine IL-1β in the maternal hippocampus, decreased plasma tryptophan concentration, and changes in vitamin B6 dependent tryptophan-kynurenine pathway. These findings suggest novel pathways for improving SSRI efficacy in alleviating perinatal depression.HIGHLIGHTSPostpartum fluoxetine (FLX) increased interleukin-1β levels in hippocampusPostpartum corticosterone (CORT) decreased TNF-α and IFN-γ in the hippocampusPostpartum FLX did not prevent CORT-induced depressive-like behaviorPostpartum FLX prevented CORT-induced changes in maternal behaviorPostpartum FLX decreased plasma tryptophan, 4’-pyridoxic acid, and pyridoxal levels
Epidemiologic and Clinical Characteristics of 91 Hospitalized Patients with COVID-19 in Zhejiang, China: A retrospective, multi-centre case series
Authors: Qian Guo-Qing , Yang Nai-Bin , Ding Feng , Yan Ma Ada Hoi , Wang Zong-Yi , Shen Yue-Fei , Shi Chun-Wei , Lian Xiang , Chu Jin-Guo , Chen Lei , Wang Zhi-Yu , Ren Da-Wei , Li Guo-Xiang , Chen Xue-Qin , Shen Hua-Jiang , Chen Xiao-Min 
Published: February 2020

SummaryBackgroundRecent studies have focused initial clinical and Epidemiologic characteristics on the COVID-19, mainly revealing situation in Wuhan, Hubei.AimTo reveal more data on the epidemiologic and clinical characteristics of COVID-19 patients outside of Wuhan, in Zhejiang, China.DesignRetrospective case series.Methods88 cases of laboratory-confirmed and 3 cases of clinical-confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020.ResultsOf all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2 while 3 (3.30%) were clinical-diagnosed COVID-19 cases. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample 40 (43.96%) patients had contracted the diseases from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, 8 (8.79%) cases had contacted with people from Wuhan, 11 (12.09%) cases were confirmed aircraft transmission. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (IQR, 3-8) days and the median time from first visit to a doctor to confirmed diagnosis was 1 (1-2) days. According to the Chest computed tomography scans, 67.03% cases had bilateral pneumonia.ConclusionsSocial activity cluster, family cluster and travel by airplane were how COVID-19 patients get transmitted and could be rapidly diagnosed COVID-19 in Zhejiang.
EvoProDom: Evolutionary model of protein families by means of translocations of protein domains
Authors: Carmi Gon , Gorohovski Alessandro , Frenkel-Morgenstern Milana 
Published: February 2020

AbstractHere, we developed a novel evolution of protein domains (EvoProDom) model for evolution of proteins, which was based on mix and merge of protein domains. We collected and integrated genomic and proteome data for 109 organisms. These data include protein domain content and orthologous protein families. In EvoProDom, we defined evolutionary events, such as translocations, as reciprocal exchanges of protein domains between orthologous proteins of different organisms. We found that protein domains, which frequently appear in translocation events, were enriched intrans-splicingevents,i.e., producing novel transcripts fused from two distinct genes. We presented in EvoProDom, a general method to obtain protein domain content and orthologous protein annotation, by predicting these data from protein sequences using the Pfam search tool and KoFamKOALA, respectively. This method can be implemented in other research such as proteomics, protein design and host-virus interactions.
Characterizing the transmission and identifying the control strategy for COVID-19 through epidemiological modeling
Authors: Zhou Huijuan , Xue Chengbin , Gao Guannan , Lawless Lauren , Xie Linglin , Zhang Ke K. 
Published: February 2020

ABSTRACTThe outbreak of the novel coronavirus disease, COVID-19, originating from Wuhan, China in early December, has infected more than 70,000 people in China and other countries and has caused more than 2,000 deaths. As the disease continues to spread, the biomedical society urgently began identifying effective approaches to prevent further outbreaks. Through rigorous epidemiological analysis, we characterized the fast transmission of COVID-19 with a basic reproductive number 5.6 and proved a sole zoonotic source to originate in Wuhan. No changes in transmission have been noted across generations. By evaluating different control strategies through predictive modeling and Monte carlo simulations, a comprehensive quarantine in hospitals and quarantine stations has been found to be the most effective approach. Government action to immediately enforce this quarantine is highly recommended.
Stress and behavioral correlates in the head-fixed method
Authors: Juczewski Konrad , Koussa Jonathan A. , Kesner Andrew J. , Lee Jeong O. , Lovinger David M. 
Published: February 2020

AbstractHead-fixation of awake rodents is a method that allows for sophisticated investigation and manipulation of neural circuitsin vivo, that would otherwise be impossible in completely freely moving animals. However, while it is known that head-fixation induces stress, its scale and habituation dynamics remain unclear. Thus, interpretation of physiological and behavioral experiments would greatly benefit from the characterization of the stress response. In our study, we used the Mobile HomeCage system (Neurotar, Finland) where animals are head-fixed to an aluminum frame, but otherwise freely moving in an ultralight carbon container floating above an air-dispensing base. To better understand this experimental environment, we analyzed locomotion and stress during an extended habituation protocol. For 25 consecutive days, mice were prepared as they would be for recording experiments, i.e. head-fixed while standing on the air-lifted platform for 2 hours per day. Throughout 25 days, blood samples were taken periodically from the tail vein to measure variation in the stress-related hormone, corticosterone. These data were compared and contrasted with behavioral data including locomotion during the 2-hours head-fixed habituation sessions and several classical behavioral measurements known to be affected by chronic mild stress.
ToxoplasmaGRA15 limits parasite growth in IFNγ-activated fibroblasts through TRAF ubiquitin ligases
Authors: Mukhopadhyay Debanjan , Sangaré Lamba Omar , Braun Laurence , Hakimi Mohamed-Ali , Saeij Jeroen P.J. 
Published: February 2020

AbstractThe protozoan parasiteToxoplasma gondiilives inside a vacuole in the host cytoplasm where it is protected from host cytoplasmic innate immune responses. However, IFNγ-dependent cell-autonomous immunity can destroy the vacuole and the parasite inside.Toxoplasmastrain differences in susceptibility to human IFNγ exist but theToxoplasmaeffector(s) that determine these differences are unknown. We show that in human primary fibroblasts, the polymorphicToxoplasmasecreted effector GRA15 mediates the recruitment of ubiquitin ligases, including TRAF2 and TRAF6, to the vacuole membrane, which enhances recruitment of ubiquitin receptors (p62/NDP52) and ubiquitin-like molecules (LC3B, GABARAP). This ultimately leads to lysosomal degradation of the vacuole. In murine fibroblasts, GRA15-mediated TRAF6 recruitment mediates the recruitment of immunity-related GTPases and destruction of the vacuole. Thus, we have identified how theToxoplasmaeffector GRA15 affects cell-autonomous immunity in human and murine cells.
Mesoscopic-scale functional networks in the primate amygdala
Authors: Morrow Jeremiah K , Cohen Michael X , Gothard Katalin M 
Published: February 2020

AbstractThe primate amygdala performs multiple functions that may be related to the anatomical heterogeneity of its nuclei. At the level of single neurons, each function is reflected in stimulus- and task-specific responses. Given that neurons with a particular response profile are not clustered in any of the nuclei, single units may be too fine-grained to shed light on the mesoscale organization of the amygdala. We have extracted from local field potentials recorded simultaneously from multiple locations within the primate amygdala (Macaca mulatta) spatially defined and statistically separable responses to visual, tactile, and auditory stimuli. A generalized eigendecomposition-based method of source separation isolated coactivity patterns, or components, that in neurophysiological terms correspond to putative subnetworks. Some component spatial patterns mapped onto the anatomical organization of the amygdala, while other components reflected integration across nuclei. These components differentiated between visual, tactile, and auditory stimuli suggesting the presence of functionally distinct parallel subnetworks.
Genetic, cellular and structural characterization of the membrane potential-dependent cell-penetrating peptide translocation pore
Authors: Trofimenko Evgeniya , Grasso Gianvito , Heulot Mathieu , Chevalier Nadja , Deriu Marco A. , Dubuis Gilles , Arribat Yoan , Serulla Marc , Michel Sébastien , Vantomme Gil , Ory Florine , Dam Linh Chi , Puyal Julien , Amati Francesca , Lüthi Anita , Danani Andrea , Widmann Christian 
Published: February 2020

AbstractCell-penetrating peptides (CPPs) allow intracellular delivery of cargo molecules. They provide efficient methodology to transfer bioactive molecules in cells, in particular in conditions when transcription or translation of cargo-encoding sequences is not desirable or achievable. The mechanisms allowing CPPs to enter cells are ill-defined. Using a CRISPR/Cas9-based screening, we discovered that KCNQ5, KCNN4, and KCNK5 potassium channels positively modulate cationic CPP direct translocation into cells by decreasing the transmembrane potential (Vm). These findings provide the first unbiased genetic validation of the role of Vm in CPP translocation in cells.In silicomodeling and live cell experiments indicate that CPPs, by bringing positive charges on the outer surface of the plasma membrane, decrease the Vmto very low values (−150 mV or less), a situation we have coined megapolarization that then triggers formation of water pores used by CPPs to enter cells. Megapolarization lowers the free energy barrier associated with CPP membrane translocation. Using dyes of varying sizes, we assessed the diameter of the water pores in living cells and found that they readily accommodated the passage of 2 nm-wide molecules, in accordance with the structural characteristics of the pores predicted byin silicomodeling. Pharmacological manipulation to lower transmembrane potential boosted CPPs cellular internalization in zebrafish and mouse models. Besides identifying the first proteins that regulate CPP translocation, this work characterized key mechanistic steps used by CPPs to cross cellular membrane. This opens the ground for strategies aimed at improving the ability of cells to capture CPP-linked cargosin vitroandin vivo.
A liquid biopsy platform for detecting gene-gene fusions as glioma diagnostic biomarkers and drug targets
Authors: Palande Vikrant , Detroja Rajesh , Gorohovski Alessandro , Glass Rainer , Flueh Charlotte , Kurtz Marina , Perez Shira , Shay Dorith Raviv , Siegal Tali , Frenkel-Morgenstern Milana 
Published: February 2020

AbstractGliomas account for about 80% of all malignant brain tumours. Diagnosis is achieved by radiographic imaging followed by tumour resection, to determine tumour cell type, grade and molecular characteristics. Glioblastoma multiforme (GBM) is the most common type of glioma, and is uniformly fatal. The median survival of treated GBM patients is 12-15 months. Standard modalities of therapy are unselective and include surgery, radiation therapy and chemotherapy, while precision medicine has yet to demonstrate improvements in disease outcome. We therefore selected GBM as a model to develop a precision medicine methodology for monitoring patients using blood plasma circulating cell-free DNA (cfDNA). Currently, tumour heterogeneity, clonal diversity and mutation acquisition are the major impedances for tailoring personalized therapy in gliomas in general, and particularly in GBM. Thus, a liquid biopsy diagnostics platform based on cfDNA sequencing may improve treatment outcome for GBM patients, by guiding therapy selection. In this study, we processed from 27 patients with glioma, 27 plasma samples for cfDNA isolation and 5 tissue biopsy samples for tumour DNA isolation. From a control group of 14 healthy individuals, 14 plasma samples were processed for cfDNA isolation. In glioma patients, cfDNA concentration was elevated compared to controls. Point mutations found in glioma tissue biopsies were also found in the cfDNA samples (95% identity). Finally, we identified novel chimeric genes (gene-gene fusions) in both tumour and cfDNA samples. These fusions are predicted to alter protein interaction networks, by removing tumour suppressors and adding oncoproteins. Indeed, several of these fusions are potential drug targets, particularly, NTRK or ROS1 fusions, specifically for crizotinib analogues (like entrectinib and larotrectinib) with enhanced penetration of the central nervous system. Taken together, our results demonstrate that novel druggable targets in gliomas can be identified by liquid biopsy using cfDNA in patient plasma. These results open new perspectives and abilities of precision medicine in GBM.
Exploring the impact of political regimes on biodiversity
Authors: Zizka Alexander , Rydén Oskar , Edler Daniel , Klein Johannes , Aronsson Heléne , Perrigo Allison , Silvestro Daniele , Jagers Sverker C. , Lindberg Staffan I. , Antonelli Alexandre 
Published: February 2020

AbstractNational governments are the main actors responsible for mapping and protecting their biodiversity, but countries differ in their capacity, willingness, and effectiveness to do so. We quantify the global biodiversity managed by different regime types and developed a tool to explore the links between level of democracy and other key socio-economic variables with the number of natural history specimens registered within country boundaries. Using this tool, distinct and previously unknown patterns emerge around the world, that urge for increased collaboration between the natural and social sciences to further explore these patterns and their underlying processes.
Customers' perceived value and dining choice through mobile apps in Indonesia
Authors: Shah Adnan Muhammad , Yan Xiangbin , Shah Syed Asad Ali , Ali Mudassar 
Published: February 2020

PurposeThe latest mobile technology may shape consumers' motivations by allowing them to order a variety of foods using smartphone apps. Following the stimulus–organism–response (SOR) framework and using a mixed methods approach, this study investigates the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions. Furthermore, this study examines the moderating effect of the restaurant type.Design/methodology/approachData were collected via an online questionnaire survey from 351 individuals in the city of Jakarta (Indonesia) who actually used mobile apps to order food online. Data analysis was carried out using structural equation modeling.FindingsThe findings reveal that source credibility, review valence, the navigation system, food quality and service quality significantly impact customers' perceived value. Customers' perceived value, in turn, positively affects their purchase intentions. The findings also reveal that the impacts of review valence, the navigation system, food quality and service quality on customers' perceived value depend on the different levels of restaurants.Originality/valueThis study is among the first in the mobile commerce research that studies the impacts of mobile electronic word-of-mouth (eWOM), system quality and overall restaurant image on dining choices by considering actual mobile shoppers. Second, this study extends the SOR model to examine the impact of the mobile environment-based characteristics on the perceived value that leads to purchase intentions. Third, the current study examines whether the relationships that are discussed early on differ based on the restaurant type. The findings of this study could help practitioners achieve a deeper understanding of diners' behaviors due to the perceived benefits of mobile dining.
A study of grey literature in National Digital Library of India: analyses and trends
Authors: Moid Abdul , Raza M. Masoom , Jahan Keshwar 
Published: February 2020

Purpose
This paper aims to examine the grey literature (GL) in National Digital Library of India (NDLI) with particular reference to synopsis, thesis, report and patent.

Design/methodology/approach
The National Digital Library of India (NDLI) was used to collect data from types of text content. After filtering text content, learning resource type was refined and four kinds of GL were randomly selected for further analysis in MS Excel.

Findings
As a primary source of information, a huge number of GL available in text form, in which the availability of reports are maximum, are selected. In NDLI, the majority of the selected grey resources, e.g. report, thesis, synopsis and patent, are open for access. It also discloses the significance of Education Resources Information Center (ERIC), from where majority of GL resources were extracted and the maximum number of resources is available in the English language.

Originality/value
GL is regarded as a valuable primary source of locally generated information. No such study was carried out specifically regarding NDLI. Besides, this study aids to understand the archiving method of GL. These findings also help the users to filtering or sorting out to access accurate information sources.
Role of virtual avatars in digitalized hotel service
Authors: Choi Youngjoon , Mehraliyev Fuad , Kim Seongseop (Sam) 
Published: February 2020

Purpose
This study aim to attempt to conceptualize agency in a hospitality setting and examine the psychological effects of agency-related visual cues on user perception and intention to use to understand the role of agency in the digitalization of hotel services.

Design/methodology/approach
After developing demo videos of an express check-out application, two experiments were conducted to examine the effects of using an avatar and explain the psychological mechanism of how attributes of an avatar increase intention to use.

Findings
Study 1 found that the presence of an avatar had a positive influence on intention to use. Study 2 retested the findings of Study 1 and illustrated the psychological mechanism of how two attributes of an avatar (social position and gender) influenced perceived expertise and intention to use. A significant interaction effect between social position and gender was found on perceived expertise. Perceived expertise also mediated the effect of an avatar on intention to use in the male avatar conditions.

Originality/value
As the first attempt to investigate the role of avatars in human–computer interaction in a hotel setting, this study will serve as an example in testing the effects of agency-related technical features on user experience and behavioral intention, possibly broadening the current research scope of hospitality and tourism. This study also provides a useful guideline to develop and design a successful interface of digitalized hotel services.