bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular Bases of the Membrane Association Mechanism Potentiating Antibiotic Resistance by New Delhi Metallo-β-Lactamase 1
Authors: Prunotto Alessio , Bahr Guillermo , González Lisandro J. , Vila Alejandro J. , Dal Peraro Matteo 
Published: June 2020

ABSTRACTResistance to last-resort carbapenem antibiotics is an increasing threat to human health, as it critically limits therapeutic options. Metallo-β-lactamases are the largest family of carbapenemases, enzymes that inactivate these drugs. Among MBLs, New Delhi metallo-β-lactamase 1 has experienced the fastest and largest worldwide dissemination. This success has been attributed to the fact that NDM-1 is a lipidated protein anchored to the outer membrane of bacteria, while all other MBLs are soluble periplasmic enzymes. By means of a combined experimental and computational approach, we show that NDM-1 interacts with the surface of bacterial membranes in a stable, defined conformation, in which the active site is not occluded by the bilayer. Although the lipidation is required for a long-lasting interaction, the globular domain of NDM-1 is tuned to interact specifically with the outer bacterial membrane. In contrast, this affinity is not observed for VIM-2, a natively soluble MBL. Finally, we identify key residues involved in the membrane interaction of NDM-1, which constitute potential targets for developing therapeutic strategies able to combat resistance granted by this enzyme.
FlopR: An open source software package for calibration and normalization of plate reader and flow cytometry data
Authors: Robinson Clare M. , Fedorec Alex J. H. , Yan Wen Ke , Barnes Chris P. 
Published: June 2020

AbstractThe measurement of gene expression using fluorescence markers has been a cornerstone of synthetic biology for the last two decades. However, the use of arbitrary units has limited the usefulness of this data for many quantitative purposes. Calibration of fluorescence measurements from flow cytometry and plate reader spectrophotometry has been implemented previously but the tools are disjointed. Here we pull together, and in some cases improve, extant methods into a single software tool, written as a package in the R statistical framework. The workflow is validated usingEscherichia coliengineered to express GFP from a set of commonly used constitutive promoters. We then demonstrate its power by identifying the time evolution of distinct subpopulations of bacteria from bulk plate reader data, a task previously reliant on laborious flow cytometry experiments. Along with standardized parts and experimental methods, the development and dissemination of usable tools for quantitative measurement and data analysis will benefit the synthetic biology community by improving interoperability.Graphical Abstract
Learning to synchronize: Midfrontal theta dynamics during rule switching
Authors: Verbeke Pieter , Ergo Kate , De Loof Esther , Verguts Tom 
Published: June 2020

AbstractIn recent years, several hierarchical extensions of well-known learning algorithms have been proposed. For example, when stimulus-action mappings vary across time or context, the brain may learn two or more stimulus-action mappings in separate modules, and additionally (at a hierarchically higher level) learn to appropriately switch between those modules. However, how the brain mechanistically coordinates neural communication to implement such hierarchical learning, remains unknown. Therefore, the current study tests a recent computational model that proposed how midfrontal theta oscillations implement such hierarchical learning via the principle of binding by synchrony (Sync model). More specifically, the Sync model employs bursts at theta frequency to flexibly bind appropriate task modules by synchrony. 64-channel EEG signal was recorded while 27 human subjects (Female: 21, Male: 6) performed a probabilistic reversal learning task. In line with the Sync model, post-feedback theta power showed a linear relationship with negative prediction errors, but not with positive prediction errors. This relationship was especially pronounced for subjects with better behavioral fit (measured via AIC) of the Sync model. Also consistent with Sync model simulations, theta phase-coupling between midfrontal electrodes and temporo-parietal electrodes was stronger after negative feedback. Our data suggest that the brain uses theta power and synchronization for flexibly switching between task rule modules, as is useful for example when multiple stimulus-action mappings must be retained and used.Significance StatementEveryday life requires flexibility in switching between several rules. A key question in understanding this ability is how the brain mechanistically coordinates such switches. The current study tests a recent computational framework (Sync model) that proposed how midfrontal theta oscillations coordinate activity in hierarchically lower task-related areas. In line with predictions of this Sync model, midfrontal theta power was stronger when rule switches were most likely (strong negative prediction error), especially in subjects who obtained a better model fit. Additionally, also theta phase connectivity between midfrontal and task-related areas was increased after negative feedback. Thus, the data provided support for the hypothesis that the brain uses theta power and synchronization for flexibly switching between rules.
On Reliability of the COVID-19 Forecasts
Authors: Baruah Hemanta Kumar 
Published: June 2020

AbstractIn this expository article, we are aiming to show with an example that even short term forecasts regarding the COVID-19 spread pattern may sometimes not be very reliable. We have studied data published by Worldometers.info to get numerically an approximate formula of the spread pattern for a short period. We have observed that in the United States of America, there was a nearly exponential spread pattern for a very short period from May 3 to May 8, 2020. From May 9 to May 13, the nearly exponential character of the spread was found to be absent. Hence it can be concluded that the COVID-19 spread pattern, even after more than four months from the start of the outbreak, is not quite predictable. Therefore even short term forecasts regarding the spread may not be very reliable. We have found that forecasts using the assumption of an exponential pattern of spread may actually lead to overestimation.
Recovery from mental illness versus substance use disorder
Authors: Corrigan Patrick W. , Qin Sang , Davidson Larry , Schomerus Georg , Shuman Valery , Smelson David 
Published: June 2020

Purpose
While serious mental illness (SMI) and substance use disorders (SUD) are common, less research has focused on causal beliefs across conditions. This is an important question when trying to understand the experience of dual diagnosis. The purpose of this paper is to examine how three factors representing causal beliefs (biogenetic, psychosocial or childhood adversity) differ by SMI and SUD. This study also examined how causal beliefs were associated with overall, process and outcome beliefs about recovery.

Design/methodology/approach
Using Mechanical Turks online panel, 195 research participants from the general public completed measures of recovery – overall, outcome and process – for SMI and SUD. Participants also completed the Causal Beliefs Scale yielding three causal factors for SMI and separately for SUD: biogenetic, psychosocial and childhood adversity.

Findings
Results indicated participants endorsed biogenetic cause more for SMI and SUD. Moreover, research participants endorsed biogenetic causes more than the other two for SMI. Results also showed the psychosocial cause was positively associated with recovery for SMI. Biogenetic causes were not. Almost none of the causal indicators was significantly associated with recovery for SUD.

Originality/value
Implications of these findings for future research and public efforts to enhance attitudes about recovery are discussed.
E-learning training in work corporations: a review on instructional planning
Authors: Kaizer Betânia Mafra , Silva Carlos Eduardo Sanches , de Pavia Anderson Paulo , Zerbini Thaís 
Published: June 2020

PurposeThe main purpose of this work is a bibliometric and descriptive review of the literature on instruction planning of training offered in the e-learning modality in work corporations to identify methodologies and experiences that will serve as a model for professionals working in planning e-learning training in the corporate context.Design/methodology/approachThe timeline from 2010 to 2020 was adopted. Data were extracted from five databases and were compiled in the software Zotero. Based on defined criteria, 260 productions were identified. The interrelation and metric presentation of the data from these studies were done in the software VosViewer. Subsequently, were selected only free access papers, resulting in 64 publications. From these, we chose 6 empirical studies for a descriptive analysis based on specific criteria.FindingsThe range of hardware and software platforms has stimulated the use of virtual reality (VR) and augmented reality (AR) and artificial intelligence (AI) resources in corporative training. The use of management tools, such as Voice of Customer (VOC) and Quality Function Deployment (QFD), can support those responsible for instructional planning. The literature presented important elements that should be considered for the proper planning of an e-Learning training: learner: feedback, control of self-learning process, classification of cultural profiles in the case of courses in which participants are geographically distant and training management: content and delivery mode of instruction.Originality/valueWe selected 6 empirical studies that presented models, systems or experiences on training planning to support decisions in this area. This article contributes to the area of T&D showing an updated context of practices for the implementation of training systems that have been adopted in several countries. We present quantitative indicators of scientific production using two additional software to support the bibliometric review: Zotero and VosViewer. This article used five databases and a research equation to systematically present the current panorama of research on training planning from the perspective of the areas of management and organizational psychology.
Characteristics transferred into simulation-based learning of nursing programs
Authors: Nodari Cristine Hermann , de Almeida Daiane Riva , Nunes Fabiano de Lima , Sordi Jefferson Dobner , Bez Marta 
Published: June 2020

PurposeThe purpose of this research is to relate the characteristics transferred from teaching into simulation-based learning in nursing by highlighting how they are presented and, thus, focus on more assertive pedagogical actions in higher education.Design/methodology/approachThe research was performed in the Brazilian context through a survey, and the data were analyzed by the structural equation modeling.FindingsThe results show meaningful relationships for the four factors that are impacted by simulation-based learning: clinical reasoning for decision-making, patient safety, self-confidence and knowledge.Practical implicationsThis research identified the importance of simulation as an alternative to improving the teaching–learning process, and it can contribute to structuring the nursing program curriculum and other training zones, by enabling the inclusion of new methodological modalities.Originality/valueThe simulation strategy becomes a differential tool in the integration between theory and practice, especially in the nursing program, and promotes teamwork, leadership and communication, self-confidence, critical thinking, clinical reasoning, priority management, decision-taking and conflict management.
The severity of a sports-related accident and sponsorship effects: focusing on the fear appeal theory
Authors: Lee Sanghak , Suh Young Ik 
Published: June 2020

PurposeThis study aims to examine the influence of a sports-related accident and its severity on sponsorship effects, including brand recognition, attitude toward the sponsoring brand and purchase intention.Design/methodology/approachThe fear appeal theory and sensation-seeking are applied as a theoretical framework. The research is carried out via an experiment using auto racing video footage and print material that manipulates the severity of accidents at three levels – no accident, an accident with a minor injury and an accident resulting in a fatality.FindingsThe analyses demonstrate that the severity of the accident elicits varying sponsorship effects. Sponsorship effects are maximized in a minor injury condition, while smaller sponsorship effects are garnered in the absence of an accident or during fatal injury conditions, as expected via the fear appeal theory. These results suggest that sports fans are excited by auto racing crashes, but are averse to witnessing a fatal accident.Research limitations/implicationsThe participants of the experiment were all students. Consequently, the participants did not represent all sports fans. Only auto racing was examined as experiment stimuli. Different demographic characteristics (e.g. age, race, nationality) and sports could differently influence the relationships among the research variables.Practical implicationsPotential sponsors do not need to take a negative view of the dangers of sports accidents. Rather, it is recommended that such companies actively plan their sponsorship activities with the appropriate strategy.Originality/valueThe relationship between the severity of a sports-related accident and sponsorship effects has received little attention regarding its potential impact on brand recognition, attitude toward the sponsoring brand and purchase intention. The current study is the first known empirical research using the fear appeal theory in sports sponsorship. It investigates the severity of a sports-related accident and determines how that severity influences sponsorship effects in auto racing. This study provides a better understanding of the effects of an accident and its severity on sponsorship effects.
Unintended negative consequences of loyalty programs: endowed vs earned loyalty
Authors: Baker Melissa A. , Legendre Tiffany S. 
Published: June 2020

Purpose
Loyalty programs are pervasive across service industries. However, the examination of cross-customer effects represents a critical gap in the loyalty literature. To address this gap, this research conducts two between-subjects experimental design studies to examine traditional versus endowed loyalty status earner attitudinal loyalty intention toward the company, switching intentions and perceived unfairness.

Design/methodology/approach
Study 1 conducts a 2 (self: earned vs endowed) × 2 (others: earned vs endowed) between-subjects experimental design on the direct effects of attitudinal loyalty intention toward the company and switching intentions. Study 2 builds upon these findings by examining the mediation effect of perceived unfairness on the attitudinal loyalty intention toward the company and switching intentions.

Findings
Results from Study 1 find that cross-customer comparisons exist, and traditional loyalty members have negative attitudinal loyalty intention toward the company and switching intentions when comparing their rewards to endowed earner rewards. Study 2 examines an airline context and finds that unfairness mediates the relationship.

Originality/value
The research builds upon the literature surrounding cross-customer comparisons, loyalty programs, equity theory and endowed status and discusses the unintended negative consequences related to endowed loyalty rewards on other customer intentions that have critical managerial implications.
Entrepreneur’s background and product innovation
Authors: Marques Natan de Souza , Sbragia Roberto , Oliveira Junior Moacir de Miranda , Borini Felipe 
Published: June 2020

Purpose
Analyzing the association between the entrepreneur’s background and product innovation, this paper aims to propose that some entrepreneur’s features are associated with the product innovation in incubated companies.

Design/methodology/approach
The study involved 95 technology-based firms incubated in Brazil. Questionnaires were sent to 461 technology-based incubated firms of the state, of which 112 have responded; however, only 95 met the established criteria, which was analyzed by logistic regression.

Findings
It was found that companies whose entrepreneurs have technical academic education closer to the Exact Sciences promote more innovation in products, regardless the size of their companies. In addition, in smaller firms, besides the technical background closer to the Exact Sciences, the entrepreneur's experience in the company also showed positive association regarding the intensity with which such firms innovate in products.

Practical implications
Results indicate that entrepreneurs who were selected taking into account their technical background closer to the Exact Sciences are more likely to contribute to the product innovation in their companies. Therefore, investing in their businesses will also increase the likelihood of success in the efficient allocation of the incubator resources.

Originality/value
The originality of this paper is reflected by the presentation of relations between entrepreneur’s background and product innovation in technology-based incubated firms in an emerging economy, highlighting the value of some characteristics of entrepreneur’s background to promote product innovation.
Small for gestational age—cognitive performance from infancy to adulthood: an observational study
Authors: Eves R , Mendonça M , Bartmann P , Wolke D 
Published: June 2020

ObjectiveTo determine whether cognitive performance from infancy to adulthood is affected by being born small for gestational age (SGA), and if this depends on the SGA reference used. Furthermore, to determine SGA’s effect while considering the effects of very preterm/very low birthweight (VP/VLBW), socio‐economic status (SES) and parent–infant relationship.Design, setting and populationA total of 414 participants (197 term‐born, 217 VP/VLBW) of the Bavarian Longitudinal Study.MethodsSmall for gestational age was classified using neonatal or fetal growth references. SES and the parent–infant relationship were assessed before the infant was 5 months old.Main outcome measuresDevelopmental (DQ) and intelligence (IQ) tests assessed cognitive performance on six occasions, from 5 months to 26 years of age.ResultsThe fetal reference classified more infants as SGA (<10th centile) than the neonatal reference (n = 138, 33% versus n = 75, 18%). Using linear mixed models, SGA was associated with IQ −8 points lower than appropriate for gestational age, regardless of reference used (95% CI −13.66 to −0.64 and 95% CI −13.75 to −1.98). This difference narrowed minimally into adulthood. Being VP/VLBW was associated with IQ −16 (95% CI −21.01 to −10.04) points lower than term‐born participants. Low SES was associated with IQ −14 (95% CI −18.55 to −9.06) points lower than high SES. A poor parent–infant relationship was associated with IQ −10 points lower than those with a good relationship (95% CI −13.91 to −6.47).ConclusionsSmall for gestational age is associated with lower IQ throughout development, independent of VP/VLBW birth, low SES or poor parent–child relationship. Social factors effects on IQ comparable to those of SGA and should be considered for interventions.Tweetable abstractSmall for gestational age is associated with lower cognitive performance from infancy to adulthood.
Does undiagnosed diabetes mitigate the association between diabetes and cognitive impairment? Findings from the ELSI‐Brazil study
Authors: Cochar‐Soares Natália , de Carvalho Danilo H. T. , de Andrade Fabíola B. , Castro‐Costa Erico , de Oliveira Cesar , Lima‐Costa Maria F. , Alexandre Tiago da S. 
Published: June 2020

AbstractBackgroundType 2 diabetes mellitus (T2DM) is associated with cognitive impairment. However, most of the evidence has been based on self‐reported T2DM, and undiagnosed diabetes has not been considered as a separate category. We aimed to examine the extent to which undiagnosed diabetes modifies the association between diabetes and cognitive impairment in a representative sample of Brazilian adults aged 50 years and older.MethodsWe analyzed baseline data from 1944 participants of the Brazilian Longitudinal Study of Aging (ELSI‐Brazil) conducted from 2015 to 2016. Diabetes was evaluated based on self‐reported doctor diagnosis and glycosylated hemoglobin levels. Participants were classified as diabetics (D), undiagnosed diabetics (UDD), or nondiabetics (ND). Cognitive function was assessed by word list learning and verbal fluency tests. Three multiple logistic regression models were used to evaluate the changes in the strength of the associations.ResultsParticipants with diabetes had 49% greater odds of exhibiting impaired memory than nondiabetics (odds ratio [OR] = 1.49; 95% CI: 1.01‐2.20). By combining UDD and ND, the association between diabetes and impaired memory was attenuated by 2.0%, losing its statistical significance (OR = 1.46; 95% CI: 0.98‐2.17). By combining UDD and D, the association was attenuated by 7.4% (OR = 1.38; 95% CI: 1.01‐1.90). No significant association was found between T2DM and impaired verbal fluency.ConclusionThis study found an association between T2DM and impaired memory but not with impaired verbal fluency. When UDD individuals are considered diabetics, this association is attenuated; when UDD individuals are considered as ND, this association is attenuated to the extent that it loses its statistical significance, affecting thus the clinical interpretation.
A Content Analysis of Clinical Indicators of the Nursing Diagnosis Ineffective Breathing Pattern
Authors: Maia Pascoal Lívia , Lopes Marcos Venícios de Oliveira , Silva Viviane Martins da , Maciel Diniz Camila , Mendes Nunes Marília , Amorim Beltrão Beatriz , Sousa Freire Vanessa Emille Carvalho de 
Published: June 2020

PURPOSETo verify the relevance of the clinical indicators, the clarity and precision of the conceptual, and operational definitions for Ineffective breathing pattern (IBP).METHODSA content analysis by 39 judges.FINDINGSThe results showed 28 clinical indicators for IBP. However, only seven were not considered relevant for the diagnosis. These are not listed in NANDA International taxonomy. All conceptual and operational definitions were adequate, according to the analysis of the judges.CONCLUSIONThe list of 28 clinical indicators of IBP was submitted for analysis by judges, which then resulted in the validation of 21 of these elements.IMPLICATIONS FOR NURSING PRACTICEThis study clarifies that gaps in the structure of diagnoses, helping nurses' diagnostic reasoning process in clinical practice.