bluuebunny/crossref_metadata_2025_split huggingface dataset:
Functional connectivity within and betweenn-back modulated regions: An adult lifespan PPI investigation
Authors: Pongpipat Ekarin E. , Kennedy Kristen M. , Foster Chris M. , Boylan Maria A. , Rodrigue Karen M. 
Published: June 2020

AbstractWorking memory (WM) and its BOLD-related parametric modulation under load decrease with age. Functional connectivity (FC) generally increases with WM load; however, how aging impacts connectivity and whether this is load-dependent, region-dependent, or associated with cognitive performance is unclear. This study examines these questions in 170 healthy adults (Mage= 52.99 ± 19.18) who completed fMRI scanning during ann-back task (0-, 2-, 3-, and 4-back). FC was estimated utilizing a modified generalized psychophysiological interaction approach with seeds from fronto-parietal (FP) and default mode (DM) regions that modulated ton-back difficulty. FC analyses focused on both connectivity during WM engagement (task vs control) and connectivity in response to increased WM load (linear slope across conditions). Each analysis utilized within- and between-region FC, predicted by age (linear or quadratic), and its associations with in- and out-of-scanner task performance. Engaging in WM either generally (task vs control) or as a function of difficulty strengthened integration within- and between-FP and DM regions. Notably, these task-sensitive functional connections were robust to the effects of age. Stronger negative FC between FP and DM regions was also associated with better WM performance in an age-dependent manner, occurring selectively in middle- and older-adults. These results suggest that FC is critical for engaging in cognitively demanding tasks, and its lack of sensitivity to healthy aging may provide a means to maintain cognition across the adult lifespan. Thus, this study highlights the contribution of maintenance in brain function to support working memory processing with aging.Impact StatementThe literature examining functional connectivity (FC) during working memory (WM) in healthy adults is mixed in both age effects and its relationship to performance. This study contributes to the literature by examining a large, adult lifespan sample, increased levels of WM load, and additional investigation of connections within and between fronto-parietal and default mode regions. Results revealed age-invariant strengthened FC during WM, suggesting that healthy aging may be resilient to FC changes. Additionally, negative FC between regions was associated with better WM performance in middle-aged and older adults, highlighting the important of FC maintenance to support successful WM ability.
Self-reported taste and smell disorders in patients with COVID-19:distinct features in China
Authors: Song Jia , Deng Yi-ke , Wang Hai , Wang Zhi-Chao , Liao Bo , Ma Jin , He Chao , Pan Li , Liu Yang , Alobid Isam , Wang De-Yun , Zeng Ming , Mullol Joaquim , Liu Zheng 
Published: June 2020

AbstractObjectivesWe aimed to explore the frequencies of nasal symptoms in patients with COVID-19, including loss of smell and taste, as well as their presentation as the first symptom of the disease and their association with the severity of COVID-19.MethodsIn this retrospective study, 1,206 laboratory-confirmed COVID-19 patients were included and followed-up by telephone call one month after discharged from Tongji Hospital, Wuhan. Demographic data, laboratory values, comorbidities, symptoms, and numerical rating scale scores (0-10) of nasal symptoms were extracted from the hospital medical records, and confirmed or reevaluated by the telephone follow-up.ResultsFrom COVID-19 patients (N = 1,172) completing follow-up, 199 (17%) subjects had severe COVID-19 and 342 (29.2%) reported nasal symptoms. The most common nasal symptom was loss of taste (20.6%, median score = 6), while 11.4% had loss of smell (median score = 5). The incidence of nasal symptom including loss of smell and loss of taste as the first onset symptom was <1% in COVID-19 patients. Loss of smell or taste scores showed no correlation with the scores of other nasal symptoms. Loss of taste scores, but not loss of smell scores, were significantly increased in severe vs. non-severe COVID-19 patients. Interleukin (IL)-6 and lactose dehydrogenase (LDH) serum levels positively correlated with loss of taste scores. About 80% of COVID-19 patients recovered from smell and taste dysfunction in 2 weeks.ConclusionIn the Wuhan COVID-19 cohort, only 1 out of 10 hospital admitted patients had loss of smell while 1 out 5 reported loss of taste which was associated to severity of COVID-19. Most patients recovered smell and taste dysfunctions in 2 weeks.
Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics
Authors: Axenie Cristian , Kurz Daria 
Published: June 2020

AbstractNeoplastic processes are described by complex and heterogeneous dynamics. The interaction of neoplastic cells with their environment describes tumor growth and is critical for the initiation of cancer invasion. Despite the large spectrum of tumor growth models, there is no clear guidance on how to choose the most appropriate model for a particular cancer and how this will impact its subsequent use in therapy planning. Such models need parametrization that is dependent on tumor biology and hardly generalize to other tumor types and their variability. Moreover, the datasets are small in size due to the limited or expensive measurement methods. Alleviating the limitations that incomplete biological descriptions, the diversity of tumor types, and the small size of the data bring to mechanistic models, we introduce Growth pattern Learning for Unsupervised Extraction of Cancer Kinetics (GLUECK) a novel, data-driven model based on a neural network capable of unsupervised learning of cancer growth curves. Employing mechanisms of competition, cooperation, and correlation in neural networks, GLUECK learns the temporal evolution of the input data along with the underlying distribution of the input space. We demonstrate the superior accuracy of GLUECK, against four typically used tumor growth models, in extracting growth curves from a four clinical tumor datasets. Our experiments show that, without any modification, GLUECK can learn the underlying growth curves being versatile between and within tumor types.
Inhaled corticosteroids downregulate the SARS-CoV-2 receptor ACE2 in COPD through suppression of type I interferon
Authors: Finney Lydia J , Glanville Nicholas , Farne Hugo , Aniscenko Julia , Fenwick Peter , Kemp Samuel V , Trujillo-Torralbo Maria-Belen , Calderazzo Maria Adelaide , Wedzicha Jadwiga A , Mallia Patrick , Bartlett Nathan W , Johnston Sebastian L , Singanayagam Aran 
Published: June 2020

AbstractCoronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a new rapidly spreading infectious disease. Early reports of hospitalised COVID-19 cases have shown relatively low frequency of chronic lung diseases such as chronic obstructive pulmonary disease (COPD) but increased risk of adverse outcome. The mechanisms of altered susceptibility to viral acquisition and/or severe disease in at-risk groups are poorly understood. Inhaled corticosteroids (ICS) are widely used in the treatment of COPD but the extent to which these therapies protect or expose patients with a COPD to risk of increased COVID-19 severity is unknown. Here, using a combination of human and animalin vitroandin vivodisease models, we show that ICS administration attenuates pulmonary expression of the SARS-CoV-2 viral entry receptor angiotensin-converting enzyme (ACE)-2. This effect was mechanistically driven by suppression of type I interferon as exogenous interferon-β reversed ACE2 downregulation by ICS. Mice deficient in the type I interferon-α/β receptor (Ifnar1−/−) also had reduced expression of ACE2. Collectively, these data suggest that use of ICS therapies in COPD reduces expression of the SARS-CoV-2 entry receptor ACE2 and this effect may thus contribute to altered susceptibility to COVID-19 in patients with COPD.
Unsupervised manifold alignment for single-cell multi-omics data
Authors: Singh Ritambhara , Demetci Pinar , Bonora Giancarlo , Ramani Vijay , Lee Choli , Fang He , Duan Zhijun , Deng Xinxian , Shendure Jay , Disteche Christine , Noble William Stafford 
Published: June 2020

AbstractIntegrating single-cell measurements that capture different properties of the genome is vital to extending our understanding of genome biology. This task is challenging due to the lack of a shared axis across datasets obtained from different types of single-cell experiments. For most such datasets, we lack corresponding information among the cells (samples) and the measurements (features). In this scenario, unsupervised algorithms that are capable of aligning single-cell experiments are critical to learning anin silicoco-assay that can help draw correspondences among the cells. Maximum mean discrepancy-based manifold alignment (MMD-MA) is such an unsupervised algorithm. Without requiring correspondence information, it can align single-cell datasets from different modalities in a common shared latent space, showing promising results on simulations and a small-scale single-cell experiment with 61 cells. However, it is essential to explore the applicability of this method to larger single-cell experiments with thousands of cells so that it can be of practical interest to the community. In this paper, we apply MMD-MA to two recent datasets that measure transcriptome and chromatin accessibility in ~2000 single cells. To scale the runtime of MMD-MA to a more substantial number of cells, we extend the original implementation to run on GPUs. We also introduce a method to automatically select one of the user-defined parameters, thus reducing the hyperparameter search space. We demonstrate that the proposed extensions allow MMD-MA to accurately align state-of-the-art single-cell experiments.
Accurate determination of meat mass fractions using DNA measurements for quantifying meat adulteration
Authors: Temisak Sasithon , Thangsunan Pattanapong , Boonil Jiranun , Yenchum Watiporn , Hongthong Kanjana , Yata Teerapong , Rios-Solis Leonardo , Morris Phattaraporn 
Published: June 2020

AbstractThe problem in meat adulteration and food fraud emphasised the requirement of developing accurate analytical approaches for the quantitative detection in helping the control of meat adulteration. In this study, the droplet digital Polymerase Chain Reaction (ddPCR) assays to quantify the ratios of pork DNA to the total amount of meat DNA were developed by challenging against DNA extracted from a range of gravimetrically prepared matrices of pork in beef. A single copy nuclear DNA gene,β-actin, was employed as a target gene, accompanied withmyostatingene as a cross species target for mammal and poultry meat background in order to quantifying approach. All the developed assays, singleplex, duplex and triplex did not show significant difference in quantification of pork content in beef background and demonstrated a good and comparable performance to the mass fractions. The singleplex assay provided more biases than the other two assays when performing with a low concentration of target species. The duplex assay provided a simultaneous quantification of pork andmyostatin, whereas the triplex assay was able to detect pork, beef andmyostatinwith a decrease of technical error, cost and running time. All proposed methods allowed us to quantify pork addition in beef with a limit of quantification (LOQ) estimated at 0.1% (w/w) and a limit of detection (LOD) down to 0.01% (w/w). The developed triplex assay was also tested with commercial processed foods and showed the ability to determine not only the presence of particular pork or beef but also the quantitative purpose directly without standard curves. Hence, the developed ddPCR assays demonstrated a good trueness and precision of the methods in quantifying pork or beef content for meat adulteration. It is expected that these developed approaches can be applied to help regulators to confidently enforce food labelling obligations.
The bacterial effector HopZ1a acetylates MKK7 to suppress plant immunity
Authors: Rufián José S. , Rueda-Blanco Javier , López-Márquez Diego , Macho Alberto P. , Beuzón Carmen R. , Ruiz-Albert Javier 
Published: June 2020

ABSTRACTThePseudomonas syringaetype III secretion system translocates effector proteins into the host cell cytosol, suppressing plant basal immunity triggered upon recognition of pathogen-associated molecular patterns (PAMPs), and effector-triggered immunity. Effector HopZ1a suppresses local and systemic immunity triggered by PAMPs and effectors, through target acetylation. HopZ1a has been shown to target several plant proteins, but none fully substantiates HopZ1a-associated immune suppression. Here, we investigateArabidopsis thalianamitogen-activated protein kinase kinases (MKKs) as potential targets, focusing on AtMKK7, a positive regulator of local and systemic immunity. We analyse HopZ1a interference with AtMKK7 by translocation of HopZ1a from bacteria inoculated into Arabidopsis expressing MKK7 from an inducible promoter. Reciprocal phenotypes are analysed on plants expressing a construct quenching MKK7 native expression. We analyse HopZ1a-MKK7 interaction by three independent methods, and the relevance of acetylation byin vitrokinase andin plantafunctional assays. We demonstrate AtMKK7 contribution to immune signalling showing MKK7-dependent flg22-induced ROS burst, MAPK activation, and callose accumulation, plus AvrRpt2-triggered MKK7-dependent signalling. Further, we demonstrate HopZ1a suppression of all MKK7-dependent responses, HopZ1a-MKK7 interaction in planta, and HopZ1a acetylation of MKK7 in a lysine required for full kinase activity. We demonstrate that HopZ1a targets AtMKK7 to suppress local and systemic plant immunity.
The Growth Rate Hypothesis as a predictive framework for microevolutionary adaptation to selection for high population growth: an experimental test under phosphorus rich and phosphorus poor conditions
Authors: Lemmen Kimberley D. , Zhou Libin , Papakostas Spiros , Declerck Steven A.J. 
Published: June 2020

AbstractThe growth rate hypothesis, a central concept of Ecological Stoichiometry, explains the frequently observed positive association between somatic growth rate and somatic phosphorus content (Psom) in organisms across a broad range of taxa. Here, we explore its potential in predicting intraspecific microevolutionary adaptation. For this, we subjected zooplankton populations to selection for fast population growth (PGR) in either a P-rich (HP) or P-poor (LP) food environment. With common garden transplant experiments we demonstrate evolution in HP populations towards increased PGR concomitant with an increase in Psom. In contrast we show that LP populations evolved higher PGR independently of Psom. We conclude that the GRH hypothesis has considerable value for predicting microevolutionary change, but that its application may be contingent on stoichiometric context. Our results highlight the potential of cryptic evolution in determining the performance response of field populations to elemental limitation of their food resources.
Moderating role of CEO compensation in lean innovation strategies of Chinese listed family firms
Authors: Zulfiqar Muhammad , Hussain Khalid , Yousaf Muhammad Usman , Sohail Nadeem , Ghafoor Sadeen 
Published: June 2020

PurposeThe purpose of this paper is to examine the impact of Chinese listed family firms on lean innovation strategies. Additionally, the authors also examined the moderating role of CEO compensation on the family ownership and lean innovation strategies relationship.Design/methodology/approachData is obtained from CSMAR database about Chinese family firms listed at Shenzhen Stock Exchange and Shanghai Stock Exchange. Panel data comprising of firm year observations from 2007 to 2016 is analyzed using STATA.FindingsFamily firms are proactive towards research and development investment (innovation input) as well as towards patent applications (innovation output). Moreover, family firms show propensity towards patent applications and towards converting their R&D investment into granted patent applications. CEO compensation negatively moderates the nexus between family firms and lean innovation which seriously needs to be addressed to reduce agency costs.Research limitations/implicationsThe study has focused on Chinese market only. The study is useful for policy makers to address the serious concerns identified in the conclusion section, i.e. effectiveness of CEO compensation in addressing the lean innovation strategies in emerging economy like that of China.Originality/valueGiven the usually considered conservative approach of family firms towards innovation, this is the first study which has tested the moderating role of CEO compensation on family firms and lean innovation relationship in an emerging economy. This study is unique because it provides a detailed analysis of lean innovation process by splitting the process into different stages. The negative moderating impact of CEO compensation raises new concerns to resolve agency conflicts.
Digital transformation of industrial firms: an innovation diffusion perspective
Authors: Steiber Annika , Alänge Sverker , Ghosh Swapan , Goncalves Dulce 
Published: June 2020

PurposeThe digitization process has increased the pressure on large firms to transform. However, current frameworks on digital transformation are not well explaining what factors contribute to, or hinder, a firm's digital transformation. Innovation diffusion theories could complement existing frameworks, and for this reason, the purpose of this paper is to expand the existing body of knowledge on what contributes to, or hinders, an industrial firm's digital transformation by applying a validated framework based on innovation diffusion theories on two pioneer cases: General Electric and Siemens EHR/Health Services.Design/methodology/approachThe framework used in this paper is based on several years' empirical studies and iterative literature reviews on innovation diffusion theories. Further, each use case is based on literature reviews and unique empirical data, collected by the authors of this paper as a result of taking active part of respective company's multi-years transformation.FindingsCommon drivers of, and clear inhibitors to the two firms' transformation, were identified. The innovation diffusion framework was found to work very well in identifying those factors.Research limitations/implicationsThe implications are that researchers better can analyze/explain a digital transformation of a firm, and business managers can better plan or improve their firms' transformation processes.Originality/valueThe theoretical contributions of this paper are two: first, complement existing frameworks with a validated framework for innovation diffusion; second, provide an extension of our body of knowledge on factors that contributes to, or hinders, industrial firm's digital transformation.
Cost of lung cancer in East Azerbaijan province, in Iran, in 2017
Authors: Mir Habibeh , Seyednejad Farshad , Jalilian Habib , Nosratnejad Shirin , Yousefi Mahmood 
Published: June 2020

Purpose
Costs estimation is essential and important to resource allocation and prioritizing different interventions in the health system. The purpose of this paper is to estimate the costs of lung cancer in Iran, in 2017.

Design/methodology/approach
This was a prevalence-based cost of illness study with a bottom-up approach costing conducted from October 2016 to April 2017. The sample included 645 patients who referred to Imam Reza hospital, Tabriz, Iran, in 2017. Follow-up interviews were every two months. Hospitalization costs extracted from the patient’s record and outpatient costs, nondirect medical costs and indirect costs collected using questionnaire. SPSS software version 22 was used for the data analysis.

Findings
Mean direct medical costs, nondirect medical costs and indirect costs amounted to 36,637.02 ± 23,515.13 PPP (2016) (251,313,217.83 Rials), 2,025.25 ± 3,303.72 PPP (2016) (16,613,202.53 Rials) and 48,348.55 ± 34,371.84 PPP (2016) (396,599,494.56 Rials), respectively. There was a significant and negative correlation between direct medical costs, direct nonmedical costs, indirect costs and age at diagnosis, and there was a significant and positive correlation between the length of hospital stay and direct medical cost.

Originality/value
As the cost of lung cancer is substantial and there have been little studies in this area, the objective of this study is to investigate the cost of lung cancer and present ways to tackle this.
Evaluating the effects of sociodemographic characteristics and financial education on saving behavior
Authors: Amari Mouna , Salhi Bassem , Jarboui Anis 
Published: June 2020

PurposeThe objective of this study is to explore the effects of financial literacy level and risk aversion on the saving behavior. The literature review showed dialectical results. Therefore, this study attempts to clarify the debatable of these results by studying the mediating effect of risk aversion on the relationships between demographics determinants and saving behavior moderated by the effect of the financial literacy level.Design/methodology/approachThe data were collected from the University of Normandy; the study sample included 516 respondents representing different segments of French households. The structural equation analysis was utilized to control the impact of financial literacy as a moderate variable and the risk aversion as a mediator variable among the link between sociodemographic factors and saving behavior.FindingsThe results demonstrated that there were significant effects of demographics factors on risk aversion. Moreover, financial literacy moderates the relationships between risk aversion and saving behavior.Research limitations/implicationsThe major limitation of this research is the small size of the study sample. This paper is restricted to French households. Future financial education training should cover the European context.Practical implicationsThis study provides further evidence that financial literacy should be considered an important factor for improving household well-being. The paper encourages governments and financial institutions to create a national financial education program.Originality/valueThis paper is the first attempt to employ a sample of low-income households after financial education training in the French context.
A managerial survey to discuss wine business models
Authors: Ferrer Juan , Villanueva Emiliano 
Published: June 2020

PurposeThe purpose of this paper is to describe, analyze and compare business models (BMs) developed and used by wineries in two very different wine regions, one from the New World of wine [the USA, Connecticut (CT) and Rhode Island (RI)] and the other from the Old World of wine [Spain, Rias Baixas (RB)].Design/methodology/approachA survey was conducted aimed at all the wineries of both regions. The survey describes wineries’ decision-making process regarding their value chain through four variables, namely, supply, product, market and distribution and their perceptions regarding how competitive their business environment is through five variables, namely, barriers of entry, power of suppliers, power of buyers, internal competition and the threat of substitute products. This complimentary analysis (internal and external) approaches a definition of the BMs used in wineries of these two different wine regions.FindingsThe study highlights how BMs evolve and adapt to the competitive environment in which companies find themselves; wineries from CT and RI BMs display behavioral elements of companies that compete in the first stage of the life cycle, however, RB wineries BMs show elements of companies competing in the stage of maturity of the life cycle.Originality/valueThe paper shows empirical evidence of the use of BMs in an agribusiness sector as important as the wine industry. It also describes these distinctive BMs per region and explains how the creation of value occurs and how they adapt to different environmental conditions.