bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of AI quality on customer experience and brand relationship
Authors: Nguyen Tuyet‐Mai , Quach Sara , Thaichon Patamaporn 
Published: July 2021

AbstractAlthough Artificial Intelligence (AI) has been gradually introduced to various industries, research on customer attitudes and behavior toward the use of AI is still in its infancy. Underpinned by flow theory and social identity theory, the current research aims to examine the influence of AI on the customer experience of flow, customer‐brand identification and customer advocacy. In addition, it is suggested that employee responsiveness moderates the effect of AI quality on flow and customer‐brand identification. A paper‐based survey was used to collect data from 350 guests from hotels in Vietnam. The findings indicate that AI information currency and system flexibility are significantly related to flow whereas AI system timeliness is the only dimension that significantly affects customer‐brand identification. Flow and customer‐brand identification significantly mediates the relationship between AI quality and customer advocacy. Besides, as the level of employee responsiveness decreases, the effect of AI system reliability on customer‐brand identification is more significant. This study extends the current body of knowledge in relation to the role of AI in the development of service experience and the relationship between customers and an organization. The findings make a compelling case for hotels to invest in AI tools in order to respond to customer expectations and improve their perception of hotel services.
Hidden in Plain Sight: Natural Products of Commensal Microbiota as an Environmental Selection Pressure for the Rise of New Variants of SARS‐CoV‐2
Authors: Dragelj Jovan , Mroginski Maria Andrea , Ebrahimi Kourosh H. 
Published: July 2021

AbstractSince the emergence of SARS‐CoV‐2, little attention has been paid to the interplay between the interaction of virus and commensal microbiota. Here, we used molecular docking and dynamics simulations to study the interaction of some of the known metabolites and natural products (NPs) produced by commensal microbiota with the receptor binding domain (RBD) of the spike glycoprotein of SARS‐CoV‐2. The results predict that NPs of commensal microbiota such as bile acids and non‐ribosomal peptides (NRPs), of which some are siderophores, bind to the wild‐type RBD and interfere with its binding to the ACE2 receptor. N501Y mutation, which is present in many of the emerging variants of the virus, abolishes the predicted binding pocket of bile acids and NRPs. Based on these findings, available experimental data showing that bile acids reduce the binding affinity of wild‐type RBD to the ACE2 receptor, and the data suggesting that the respiratory tract microbiota affect viral infection we put forward the following proposal: mutations such as N501Y enable the RBD to bind to the ACE2 receptor more effectively in the presence of NPs produced by the respiratory tract bacteria thereby, increasing the infectivity rate of the virus. We hope our data stimulate future works to better understand the interactions of NPs produced by commensal microbiota with respiratory viruses like SARS‐CoV‐2.
Causes and predictors of mortality after transcatheter mitral valve implantation in patients with severe mitral annulus calcification
Authors: Urena Marina , Lemann Thomas , Chong‐Nguyen Caroline , Brochet Eric , Ducrocq Grégory , Carrasco Jose‐Luis , Iung Bernard , Vahanian Alec , Himbert Dominique 
Published: July 2021

AbstractObjectivesTo evaluate the causes and predictors of mortality after valve‐in‐mitral annulus calcification (MAC) transcatheter mitral valve implantation (TMVI).BackgroundConventional surgical mitral valve replacement is associated with a high risk in patients with mitral valve disease associated with severe MAC. In this population, TMVI may be an attractive alternative option. However, its prognostic factors are poorly understood.MethodsAll patients undergoing valve‐in‐MAC TMVI from 2013 to 2018 in our center were included. Indication for TMVI relied on the judgment of the local heart team. Patients were followed at 30 days and 1 year.ResultsA total of 34 patients underwent valve‐in‐MAC TMVI. The mean age was 79 ± 11 years and 73% of patients were women. Their mean EuroSCORE 2 was 8 ± 7%. The transseptal approach was used in 79% of patients and a hybrid transatrial in 29%. Balloon expandable transcatheter heart valves were used in all the patients. Technical success was achieved in 76% of the patients. Thirty‐day and 1‐year all‐cause mortality rates were 14.7% and 32.4%, respectively. The main two causes of 1‐year mortality were congestive heart failure (8.8%) and infective endocarditis (5.9%). In multivariate analysis, the only predictor of 1‐year mortality was the presence of periprothetic mitral regurgitation grade 2 (HR, 5.69; 95%CI, 1.59–27.88, p = 0.032).ConclusionEarly and mid‐term mortality remains high after valve‐in‐MAC TMVI and seems to be associated with the presence of paravalvular mitral regurgitation. However, whether the latter is a prognostic factor or marker remains to be determined to improve clinical outcomes in this high‐risk population.
Development of a Route to the Most Active Nafronyl Stereoisomer by Coupling Asymmetric Synthesis and Chiral Chromatography Separation
Authors: Olbrycht Maksymilian , Bajek-Bil Agata , Balawejder Maciej , Poplewska Izabela , Piątkowski Wojciech , Antos Dorota 
Published: July 2021

AbstractNafronyl is a pharmaceutically active compound used as a drug ingredient. It occurs in form of four stereoisomers, with however different biological activities. A procedure for preparation of the most active stereoisomer of nafronyl was developed. The stereoselective synthesis was used to produce a pair of diastereoisomers, which included the target stereoisomer. The mixture obtained was then separated by chiral chromatography in a batch mode. The efficiency of the separation in a continuous mode in a classical simulated moving‐bed system was assessed. To improve the yield of the whole operation, the less active diastereoisomer was subjected to diastereoisomeric conversion, which delivered back the pair of diastereoisomers that could be recycled to the chromatographic separation.
Slow Magnetic Relaxation in Mono‐ and Bimetallic Lanthanide Tetraimido Sulfate S(NtBu)42− Complexes
Authors: Jung Jochen , Benner Florian , Herbst‐Irmer Regine , Demir Selvan , Stalke Dietmar 
Published: July 2021

AbstractInvited for the cover of this issue are Selvan Demir and co‐worker from the Michigan State University at East Lansing, and Dietmar Stalke and co‐workers from the Georg‐August Universität at Göttingen. The image illustrates the first coordination of a tetraimido sulfate ligand via two of its nitrogen donors to a lanthanide ion producing mono‐ and bimetallic lanthanide complexes where specifically the dysprosium congeners, benefitting from the intrinsic oblate‐shaped electron density, feature single‐molecular magnet behavior as indicated by the observed slow magnetic relaxation. Read the full text of the article at 10.1002/chem.202101076.
Oncology patients' perception of physicians who use an integrated electronic health record (EHR) during clinic visits: PRIME‐EHR double‐blind, randomized controlled trial
Authors: Haider Ali , Azhar Ahsan , Tanco Kimberson C. , Epner Margeaux , Naqvi Syed Mussadiq Ali Akber , Abdelghani Eman , Reddy Akhila , Dev Rony , Wu Jimin , Bruera Eduardo 
Published: July 2021

BackgroundPatients with cancer prefer and positively perceive physicians who communicate face‐to‐face without the use of a computer. However, the use of electronic health records (EHRs) in the examination room remains a practical necessity. On the basis of existing literature, the authors developed and tested an integration model, PRIME‐EHR, that focuses on the best‐practice guidelines. To their knowledge, no randomized controlled trials (RCTs) have been conducted to test the effectiveness of such models.MethodsIn this double‐blind, crossover RCT, 120 eligible patients with cancer were enrolled between April 1, 2019 and February 15, 2020 at The University of Texas MD Anderson Cancer Center. The objectives were to compare patients' perceptions of physicians' skills and their overall preference after they watched 2 standardized, scripted video vignettes of physicians: 1 portraying the use of a standard EHR and the other portraying the use of a PRIME‐EHR. Actors and patients were blinded to the purpose of the study. Investigators were blinded to the sequence of videos watched by the patients. Validated questionnaires to rate physicians' compassion (0 = best, 50 = worst), communication skills (14 = poor, 70 = excellent), and professionalism (4 = poor, 20 = very good) were used.ResultsPRIME‐EHR, compared with the standard EHR, resulted in better scores for physician compassion (median score, 5 [interquartile range, 0‐10] vs 12 [interquartile range, 4‐25]; P = .0009), communication skills (median score, 69 [interquartile range, 63‐70] vs 61 [interquartile range, 50‐69]; P = .0026), and professionalism (median score, 20 [interquartile range, 18‐20] vs 18 [interquartile range, 14‐20]; P = .0058). The majority of patients preferred physicians who used PRIME‐EHR (n = 70 [77%] vs n = 21 [23%]; P < .0001).ConclusionsThe PRIME‐EHR approach significantly improved patients' perceptions of and preference for the physicians. This integrated model of health care delivery has the potential to improve communication and compassion in cancer care.
Spatial variation and disparity in female breast cancer relative survival in the United States
Authors: Fan Qinjin , Yao Xiaobai A. , Han Xuesong 
Published: July 2021

BackgroundBreast cancer is the most common cancer among women in the United States. However, data on spatial disparities in survival for breast cancer are limited in the country. This study estimated 5‐year relative survival (RS) of female breast cancer and examined the spatial variations across the contiguous United States.MethodsWomen newly diagnosed with breast cancer in 2003‐2010 in the United States were identified from the National Cancer Database and followed up through 2016. The crude 5‐year RS at the county level was estimated and adjusted for patients' key sociodemographic and clinical factors. To account for spatial effects, the RS estimates were smoothed using the Bayesian spatial survival model. A local spatial autocorrelation analysis with the Getis‐Ord Gi* statistics was applied to identify geographic clusters of low or high RS.ResultsClusters of low RS were identified in more than 15 states covering 671 counties, mostly in the southeast and southwest regions, including Georgia, Alabama, Mississippi, Louisiana, Arkansas, Oklahoma, and Texas. Approximately 30% of these clusters can be explained by patients' characteristics: Race, insurance, and stage at diagnosis appeared to be the major attributable factors.ConclusionsSignificant spatial disparity in female breast cancer survival was found, with low RS clusters identified in Georgia, Alabama, Mississippi, Louisiana, Arkansas, Oklahoma, and Texas. Policies and interventions that focus on serving Black women, improvements in insurance coverage, and early detection in these areas could potentially mitigate the spatial disparities.
Cocaine profiling method retrospectively developed with nontargeted discovery of markers using liquid chromatography with time‐of‐flight mass spectrometry data
Authors: Carby‐Robinson Daniel , Dalsgaard Petur Weihe , Mollerup Christian Brinch , Linnet Kristian , Rasmussen Brian Schou 
Published: July 2021

AbstractIllicit drug profiling performed by forensic laboratories assists law enforcement agencies through providing information about chemical and/or physical characteristics of seized specimens. In this article, a model was developed for the comparison of seized cocaine based on retrospective analysis of data generated from ultrahigh performance liquid chromatography with time‐of‐flight mass spectrometry (UHPLC‐TOF‐MS) comprehensive drug screening. A nontargeted approach to discover target compounds was employed, which generated 53 potential markers using data from cocaine positive samples. Twelve marker compounds were selected for the development of the final profiling model. The selection included a mixture of commonly used cocaine profiling targets and other cocaine‐related compounds. Combinations of pretreatments and comparison metrics were assessed using receiver operating characteristic curves to determine the combination with the best discrimination between linked and unlinked populations. Using data from 382 linked and 34,519 unlinked distances, a classification model was developed using a combination of the standardization and normalization transformations with Canberra distance, resulting in a linked cut‐off with a 0.5% false positive rate. The present study demonstrates the applicability of retrospectively developing a cocaine profiling model using data generated from UHPLC‐TOF‐MS nontargeted drug screening without pre‐existing information about cocaine impurities. The developed workflow was not specific to cocaine and thus could potentially be applied to any seized drug in which there are both sufficient data and impurities present.
lncRNA FEZF1‐AS1 regulates biological behaviors of cervical cancer by targeting miRNA‐1254
Authors: Liang Miao , Li Yongkang , Dai Tingting , Chen Cheng 
Published: July 2021

AbstractAimThe purpose of this research was to evaluate lncRNA FEZF1‐AS1 in cervical cancer development and clinical significance.Materials and methodsCollecting cervical cancer tissues, measuring FEZF1‐AS1 expression, and analysis correlation between FEZF1‐AS1 and prognosis. In cell vitro study, using MTT assay to measure cell proliferation, evaluating cell apoptosis by flow cytometry, measuring cell invasion and migration by Transwell and wound healing assay; lncRNA FEZF1‐AS1 and miR‐1254 gene expressions were evaluated by RT‐qPCR assay; relative protein (Smurf1, E‐cadherin, Vimentin, N‐cadherin, AKT, p‐AKT, c‐Myc, and ZEB1) expressions were measured by Western blot assay. The correlation among FEZF1‐AS1, miR‐1254, and Smurf1 were analysis by dual luciferase reporter gene assay.ResultsBy clinical analysis, lncRNA FEZF1‐AS1 was high expression in cervical cancer tissues and high expression was closely correlated with poor prognosis in cervical cancer patients. In vitro study, the SiHa and HeLa cell biologically including cell proliferation, migration, and invasion of si‐FEZF1‐AS1 group which knockdown lncRNA FEZF1‐AS1 were significantly depressed (p < .001, respectively). However, with miR‐1254 expression inhibiting, the cell biological activities were significantly increased in si‐FEZF1‐AS1+miRNA inhibitor groups (p < .001, respectively).ConclusionlncRNA FEZF1‐AS1 might be an oncological role in cervical cancer; lncRNA FEZF1‐AS1 knockdown had antitumor effects with miR‐1254 activating in cervical cancer by in vitro study.
Estimating risk‐neutral freight rate dynamics: A nonparametric approach
Authors: Gómez‐Valle Lourdes , Kyriakou Ioannis , Martínez‐Rodríguez Julia , Nomikos Nikos K. 
Published: July 2021

AbstractWe present a new method for estimating the unobservable drift of the risk‐neutral spot freight rate process from Forward Freight Agreements (FFA) prices in the absence of a closed‐form solution and demonstrate robustness via numerical simulations. Moreover, we conduct empirical experiments involving estimation of standard parametric models and a nonparametric model using Baltic Exchange data. We find that our nonparametric approach yields the lowest FFA pricing errors across maturities. Finally, we estimate the market price of risk, analyze its behavior in‐sample and out‐of‐sample and observe that, when estimated using our nonparametric approach, it evolves consistently with the indices under study.
Contagion in Global Stock Markets during the COVID‐19 Crisis
Authors: Fu Shenze , Liu Chengkun , Wei Xinyang 
Published: July 2021

AbstractThe impact of the coronavirus disease (COVID‐19) outbreak on global stock markets is investigated by analyzing the impact of the COVID‐19 pandemic on the stock markets of 15 countries selected from Asia, Europe, Latin America, and North America. Using extremal dependence tests of contagion, it is found that contagion effects are widespread to global equity markets in four regions. Latin America and North America are highly exposed to contagion risks, followed by Europe, with Asia being least vulnerable. Based on the time window of the crisis severity index, it is found that Latin America is most likely to be affected. The results confirm that for countries with more severe epidemics, there are stronger contagion effects. Therefore, for the governing authorities of various countries, if they want to prevent the contagion of financial crises during the pandemic, strong and timely epidemic prevention measures are very necessary.
Resuming outpatient services during COVID times: Our approach and experience at India's apex institute
Authors: Sarda Radhika , Mattoo Bhawna , Kumar Arvind , H Vikas , Madaan Nirupam , Wig Naveet 
Published: July 2021

AbstractHealthcare services have been severely strained and stressed coping with the rising burden of COVID‐19 patients. With the situation gradually worsening and the growing need to cater to Non‐COVID patients, we ventured to reopen the OPDs. This was to be implemented in a staggered manner. The backbone to this endeavour was the specialised screening and sampling OPD for healthcare workers which had been earlier established. We would like to share our two‐pronged approach in this unprecedented situation: establishment of a specialised screening and sampling clinic for healthcare workers and a high‐volume “Influenza‐like screening clinic” for the resumption of outpatient services.
Cluster analysis of health systems in Europe according to life expectancy at birth
Authors: Top Mehmet , Cinaroglu Songul 
Published: July 2021

AbstractPurposeThe aim of this study was to group European countries according to life expectancy at birth and to determine the impact of economic growth and financial indicators on European country groups.MethodThis study planned and conducted by using life expectancy at birth time series, economic growth and financial development indicators data for the period of 1980 to 2015. European countries are classified in terms of life expectancy (LE) at birth time series data from 1980 to 2015 by using hierarchical clustering analysis method. Random Forest and Classification and Regression Tree (CART) algorithm was used to examine predictors of European country groups in terms of long‐term LE time series data by using economic growth and financial development indicators.ResultsThe results of this study show that Eastern and Western countries are mostly in two different clusters in terms of long‐term LE time series. This study sheds light on the difference between Eurosceptic countries and other European countries. This study revealed that inflation in consumer prices, which is an indicator of economic growth, outperforms financial development indicators to predict country groups in terms of long‐term life expectancy at birth data.ConclusionCountries in the same cluster may have similar problems and solutions in their health care systems. Priority should be given to health problems that adversely affect the life expectancy of the countries in the same cluster in order to raise the quality of life and extend life expectancy in the European continent.
Hybrid adipose graft materials synthesized from chemically modified adipose extracellular matrix
Authors: Li Shue , Liu Yiming , McCann Jacob , Ravnic Dino J. , Gimble Jeffrey M. , Hayes Daniel J. 
Published: July 2021

AbstractDecellularized extracellular matrix (ECM) from tissues is a promising biomaterial that can provide a complex 3D microenvironment capable of modulating cell response and tissue regeneration. In this study, we have integrated the decellularized thiolated adipose‐derived ECM, at different concentrations, with polyethylene glycol (PEG) using Michael addition between thiol and acrylate moieties. The potential for this material to support adipogenic differentiation of human adipose‐derived stem cells was evaluated by encapsulating cells in hydrogels with increasing concentrations of chemically modified ECM (mECM). Our results demonstrated a positive correlation between the ECM content in the hydrogels and cell proliferation, adipogenic marker expression, and lipid formation and accumulation. Furthermore, we have shown host cell infiltration and enhanced adipogenesis in vivo after implantation. These findings support the graft as a potential alternative for adipose tissue regeneration.
Combined identification of lncRNA NONHSAG004550 and NONHSAT125420 as a potential diagnostic biomarker of perinatal depression
Authors: Wang Li , Zhang Ming , Zhu Haiyan , Sun Liying , Yu Bin , Cui Xuelian 
Published: July 2021

AbstractBackgroundPerinatal depression (PD) is one of the most common complications of pregnancy, and timely diagnosis and treatment are still challenging in China due to the scarcity of psychiatrists. This study aimed to investigate whether long noncoding RNAs (lncRNAs) are potential diagnostic biomarkers of PD.MethodsUsing RT‐PCR, six downregulated major depressive disorder (MDD)‐associated lncRNAs (NONSUSG010267, NONHSAT140386, NONHSAG004550, NONHSAT125420, NONHSAG013606, and NONMMUG014361) were assessed in 39 pregnant women with PD (PD group), 20 PD patients undergoing mindfulness‐integrated cognitive behavior therapy (MiCBT) (treatment group (TG)), and 51 normal pregnant women (normal control (NC) group) to identify significantly differentially expressed lncRNAs during the second trimester and at 42 days postpartum.ResultsCompared with the NC group, the six lncRNAs were significantly downregulated in the PD group during the second trimester and at 42 days postpartum (p<0.01~0.001). Expression of NONHSAG004550 and NONHSAT125420 was significantly upregulated after MiCBT therapy in TG (p<0.01~0.001), and no significant differences were observed between TG and the NC group at 42 days postpartum (p>0.05). NONHSAG004550 and NONHSAT125420 were significantly differentially expressed in the PD group, and this expression was altered according to the amelioration of depressive symptoms. Receiver operating characteristic (ROC) curve analysis revealed that the two lncRNAs combined had a good value in predicting PD, with an area under the curve (AUC) of 0.764 (95% confidence interval (CI): 0.639–0.888).ConclusionThe combination of lncRNAs NONHSAG004550 and NONHSAT125420 is a novel potential diagnostic biomarker of PD.
Use of cleaved wedge geometry for plan‐view transmission electron microscopy sample preparation
Authors: Palisaitis Justinas 
Published: July 2021

AbstractA fast, convenient, and easy to perform method for preparing plan‐view transmission electron microscopy (TEM) specimens of brittle materials is proposed. The method is ideal for thin films/coatings and based on obtaining wedge‐shape geometries of the samples via conventional cutting and cleaving followed by gentle focused ion beam (FIB) milling to electron transparency. It enables multiple parallel windows for depth sectioning of the samples and facilitates FIB lift‐out procedure. The method has been successfully applied for preparing high‐quality plan‐view TEM samples for a range of films deposited on Si, SiC, and Al2O3 which significantly enhances throughput and reduces time at the FIB. The method further offers high success rate even for the novice, stable handling and reproducibility, which greatly widens the application of advanced plan‐view TEM studies in material science.