bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water‐based polyurethane dispersions
Authors: Tennebroek Ronald , van der Hoeven‐van Casteren Ilse , Swaans Roel , van der Slot Saskia , Stals Patrick JM , Tuijtelaars Bas , Koning Cor 
Published: May 2018

AbstractA general overview is presented of the most relevant and commercially available aqueous polyurethane dispersions (PUDs) and their typical properties. This paper starts with the chemistry and the general composition of standard PUDs and subsequently urethane–acrylic hybrid dispersions are presented with special emphasis on the relation between the obtained morphology and the final material properties. In a section regarding crosslinkable PUDs, the two most frequently applied curing mechanisms are mentioned: firstly the introduction of carbonyl groups into PUDs which can be used for curing at room temperature with amino functional compounds by formation of azomethine moieties, and secondly the introduction of unsaturated fatty acid moieties into PUDs, which enable oxidative curing at ambient conditions. The paper then continues with a section on UV‐curable, acryloyl‐functional PUDs, followed by a section on an interesting new development, namely water‐based polyurethanes with special optic and haptic properties. The paper ends with a section on recently reported modifications of PUDs, including carbon nanotube‐ and graphene‐modified PUDs, PUDs modified with silane coupling agents and PUDs modified with biodegradable moieties. © 2018 Society of Chemical Industry
A critical review of self‐regulated learning interventions for children with attention‐deficit hyperactivity disorder
Authors: Reddy Linda A. , Cleary Timothy J. , Alperin Alexander , Verdesco Arielle 
Published: May 2018

AbstractSchool practitioners and educators are frequently challenged by the diverse and pervasive academic and behavioral needs of children at risk for and with attention‐deficit hyperactivity disorder (ADHD). This paper examines the outcome literature on self‐regulated learning (SRL) interventions for youth with ADHD by systematically reviewing the key intervention components and methodologies used. A total of 34 investigations, including 297 children and adolescents, were reviewed and coded on 34 variables across two dimensions (i.e., intervention components and methodology). In general, SRL interventions can be represented in terms of a three‐phase model of SRL that includes forethought, performance control, and self‐reflection processes. In this review, the vast majority of the published literature used single‐case design studies with a singular focus on the phase of performance control. Weaknesses of the existing literature include a lack of follow‐up data, attrition data, demographic information about teachers or other adult participants, and diversity in the sample. Strengths of the outcome literature are that a majority of the studies reported inclusion/exclusion criteria for samples, the criteria used to diagnose children as ADHD, and clinical significance for assessing treatment outcomes. Findings are discussed in relation to previous research, as well as directions for research and practice.
Sleeping chILD: Neuroendocrine cell hyperplasia of infancy and polysomnography
Authors: Liptzin Deborah R. , Hawkins Stephen M. M. , Wagner Brandie D. , Deterding Robin R. 
Published: May 2018

AbstractObjectivesNeuroendocrine cell hyperplasia of infancy (NEHI) is a children's interstitial and diffuse lung disease of unknown etiology that presents in infancy with characteristic findings of tachypnea, retractions, crackles, and hypoxemia. At the present, the mainstay of treatment is oxygen supplementation to normalize oxygen saturations and decrease work of breathing. There are characteristic pulmonary function, radiographic, and histologic findings, but polysomnography (PSG) data has not been reported. We sought to report PSG data and implications for management and treatment of NEHI patients.MethodsA retrospective chart review was performed under a Colorado Institutional Review Board approved protocol for which consent was waived. Informatics for Integrating Biology and the Bedside was used to query the electronic medical record at Children's Hospital Colorado for patients with both a diagnosis of NEHI and a PSG. PSG was performed for clinical reasons. Routine sleep quality and respiratory parameters were recorded and analyzed.ResultsOf our 77 patients with NEHI, 14 (19%) children underwent PSG during the study period. Eight children met criteria for OSA and three met criteria for CSA. Ten patients had low oxygen saturations during a study, six had low sleep efficiency, and three had periodic limb movement disorder.ConclusionsPatients with NEHI may have sleep related breathing disorders that contribute to disrupted sleep, including obstructive and central sleep apnea, hypoxemia, decreased sleep efficiency, and increased periodic limb movement disorder. PSG should be considered as part of NEHI management, as it may lead to recognition of clinically significant sleep‐disordered breathing.
Scaling agile in large organizations: Practices, challenges, and success factors
Authors: Kalenda Martin , Hyna Petr , Rossi Bruno 
Published: May 2018

AbstractContext: Agile software development has nowadays reached wide adoption. However, moving agile to large‐scale contexts is a complex task with many challenges involved. Objective: In this paper, we review practices, challenges, and success factors for scaling agile both from literature and within a large software company, identifying the most critical factors. Method: We conduct a focused literature review to map the importance of scaling practices, challenges, and success factors. The outcome of this focused literature review is used to guide action research within a software company with a view to scaling agile processes. Results: Company culture, prior agile and lean experience, management support, and value unification were found to be key success factors during the action research process. Resistance to change, an overly aggressive roll‐out time frame, quality assurance concerns, and integration into preexisting nonagile business processes were found to be the critical challenges in the scaling process. Conclusion: The action research process allowed to cross‐fertilize ideas from literature to the company's context. Scaling agile within an organization does not need to follow a specific scheme, rather the process can be tailored to the needs while keeping the core values and principles of agile methodologies.
Technical and Organizational Agile Practices: A Latin-American Survey
Authors: Paez Nicolás , Fontdevila Diego , Gainey Fernando , Oliveros Alejandro 
Published: May 2018

AbstractBackground: Agile Software Development is widely used nowadays and to measure its real usage we need to analyze how its practices are used. These practices have been categorized by several authors and some practitioners have suggested that technical practices have a lower usage level than organizational practices. Objective: In this study we aim to understand the actual usage of technical and organizational agile practices in the Latin-American Agile community. Method: We conducted a three-stage survey in conferences of the Latin-American Agile Community. Results: Organizational practices are much more used than technical ones. The number of practices used is a direct function of organization experience using agile. The difference between technical and organizational practices reduces with the experience of the organization using agile. Team size and project duration seem to have no effect in the number of practices used.
Do Agile Methods Work for Large Software Projects?
Authors: Jørgensen Magne 
Published: May 2018

AbstractIs it true that agile methods do not scale well and are mainly useful for smaller software projects? Or is it rather the case that it is particularly in the context of larger, typically more complex software projects that the use of agile methods is likely to make the difference between success and failure? To find out more about this, we conducted a questionnaire-based survey analyzing information about 101 Norwegian software projects. Project success was measured as the combined performance of the project regarding delivered client benefits, cost control, and time control. We found that that projects using agile methods performed on average much better than those using non-agile methods for medium and large software projects, but not so much for smaller projects. This result gives support for the claim that agile methods are more rather than less successful compared to traditional methods when project size increases. There may consequently be more reasons to be concerned about how non-agile, rather than how agile methods, scale.
Learning in the Large - An Exploratory Study of Retrospectives in Large-Scale Agile Development
Authors: Dingsøyr Torgeir , Mikalsen Marius , Solem Anniken , Vestues Kathrine 
Published: May 2018

Abstract
Many see retrospectives as the most important practice of agile software development. Previous studies of retrospectives have focused on process and outcome at team level. In this article, we study how a large-scale agile development project uses retrospectives through an analysis of retrospective reports identifying a total of 109 issues and 36 action items as a part of a longitudinal case study. We find that most of the issues identified relate to team-level learning and improvement, and discuss these findings in relation to current advice to improve learning outcome in large-scale agile development.
Inter-team Coordination in Large-Scale Agile Development: A Case Study of Three Enabling Mechanisms
Authors: Bjørnson Finn Olav , Wijnmaalen Julia , Stettina Christoph Johann , Dingsøyr Torgeir 
Published: May 2018

AbstractAgile methods are increasingly used in large development projects, with multiple development teams. A central question is then what is needed to coordinate feature teams efficiently. This study examines three mechanisms for coordination: Shared mental models, communication and trust in a large-scale development project with 12 feature teams running over a four-year period. We analyse the findings in relation to suggested frameworks for large-scale agile development and a theory on coordination, and provide new recommendations for practice and theory.
Combining STPA and BDD for Safety Analysis and Verification in Agile Development: A Controlled Experiment
Authors: Wang Yang , Wagner Stefan 
Published: May 2018

AbstractContext: Agile development is in widespread use, even in safety-critical domains. Motivation: However, there is a lack of an appropriate safety analysis and verification method in agile development. Objective: In this paper, we investigate the use of Behavior Driven Development (BDD) instead of standard User Acceptance Testing (UAT) for safety verification with System-Theoretic Process Analysis (STPA) for safety analysis in agile development. Method: We evaluate the effect of this combination in a controlled experiment with 44 students in terms of productivity, test thoroughness, fault detection effectiveness and communication effectiveness. Results: The results show that BDD is more effective for safety verification regarding the impact on communication effectiveness than standard UAT, whereas productivity, test thoroughness and fault detection effectiveness show no statistically significant difference in our controlled experiment. Conclusion: The combination of BDD and STPA seems promising with an enhancement on communication, but its impact needs more research.
Developers’ Initial Perceptions on TDD Practice: A Thematic Analysis with Distinct Domains and Languages
Authors: Choma Joelma , Guerra Eduardo M. , da Silva Tiago Silva 
Published: May 2018

AbstractTest-Driven Development (TDD) is one of the most popular agile practices among software developers. To investigate the software developers’ initial perceptions when applying TDD, we have performed an exploratory study. This study was carried out with participants who had about ten years of professional experience (on average), the majority of whom with no experience using TDD. The study is in the context of an agile project course at the postgraduate level of a research institute. Participants individually developed medium size projects addressed to different domains and using different programming languages. Through a structured questionnaire with open and semi-open questions, we collected information on TDD effects such as the perceived benefits, encountered difficulties, and developer’s opinion about the quality improvement of the software. Afterward, we conducted a thematic analysis of the qualitative data. Most participants noticed improvements in code quality, but few have a more comprehensive view of the effects of TDD on software design. Our findings suggest that after overcoming the initial difficulties to understand where to start, and know how to create a test for a feature that does not yet exist, participants gain greater confidence to implement new features and make changes due to broad test coverage.
Application of the AAST EGS Grade for Adhesive Small Bowel Obstruction to a Multi‐national Patient Population
Authors: Hernandez Matthew C. , Birindelli Arianna , Bruce John L. , Buitendag Johannes J. P. , Kong Victory Y. , Beuran Mircea , Aho Johnathon M. , Negoi Ionut , Clarke Damian L. , Di Saverio Salomone , Zielinski Martin D. 
Published: May 2018

AbstractBackgroundThe American Association for the Surgery of Trauma (AAST) anatomic severity grading system for adhesive small bowel obstruction (ASBO) has demonstrated to be a valid tool in North American patient populations. Using a multi‐national patient cohort, we retrospectively assessed the validity the AAST ASBO grading system and estimated disease severity in a global population in order to correlate with several key clinical outcomes.MethodsMulticenter retrospective review during 2012–2016 from four centers, Minnesota USA, Bologna Italy, Pietermaritzburg South Africa, and Bucharest Romania, was performed. Adult patients (age ≥ 18) with ASBO were identified. Baseline demographics, physiologic parameters, laboratory results, operative and imaging details, outcomes were collected. AAST ASBO grades were assigned by independent reviewers. Univariate and multivariable analyses with odds ratio (OR) and 95% confidence intervals (CIs) were performed.ResultsThere were 789 patients with a median [IQR] age of 58 [40–75] years; 47% were female. The AAST ASBO grades were I (n = 180, 23%), II (n = 443, 56%), III (n = 87, 11%), and IV (n = 79, 10%). Successful non‐operative management was 58%. Conversion rate from laparoscopy to laparotomy was 33%. Overall mortality and complication and temporary abdominal closure rates were 2, 46, and 4.7%, respectively. On regression, independent predictors for mortality included grade III (OR 4.4 95%CI 1.1–7.3), grade IV (OR 7.4 95%CI 1.7–9.4), pneumonia (OR 5.6 95%CI 1.4–11.3), and failing non‐operative management (OR 2.4 95%CI 1.3–6.7).ConclusionThe AAST EGS grade can be assigned with ease at any surgical facility using operative or imaging findings. The AAST ASBO severity grading system has predictive validity for important clinical outcomes and allows for standardization across institutions, providers, and future research. Disease severity and outcomes varied between countries.Level of evidence IIIStudy type Retrospective multi‐institutional cohort study.
Towards precise reconstruction of gene regulatory networks by data integration
Authors: Liu Zhi‐Ping 
Published: May 2018

BackgroundMore and more high‐throughput datasets are available from multiple levels of measuring gene regulations. The reverse engineering of gene regulatory networks from these data offers a valuable research paradigm to decipher regulatory mechanisms. So far, numerous methods have been developed for reconstructing gene regulatory networks.ResultsIn this paper, we provide a review of bioinformatics methods for inferring gene regulatory network from omics data. To achieve the precision reconstruction of gene regulatory networks, an intuitive alternative is to integrate these available resources in a rational framework. We also provide computational perspectives in the endeavors of inferring gene regulatory networks from heterogeneous data. We highlight the importance of multi‐omics data integration with prior knowledge in gene regulatory network inferences.ConclusionsWe provide computational perspectives of inferring gene regulatory networks from multiple omics data and present theoretical analyses of existing challenges and possible solutions. We emphasize on prior knowledge and data integration in network inferences owing to their abilities of identifying regulatory causality.
Assessing the Longer‐Term Effects of Mild Traumatic Brain Injury on Self‐Reported Driving Ability
Authors: Bernstein John P.K. , Calamia Matthew 
Published: May 2018

AbstractBackgroundMild traumatic brain injury (mTBI) can have long‐term cognitive and functional consequences, and recent mTBI has been associated with impaired performance on measures related to driving ability. However, it remains unclear whether mTBI history is associated with poorer driving performance.ObjectiveTo examine the longer‐term effects of mTBI on self‐reported driving ability.DesignRetrospective cross‐sectional study.SettingOnline.ParticipantsThree hundred eighty‐nine participants (169 who reported an mTBI history and 220 without an mTBI history).InterventionComparing participants who report a history of mTBI with those who do not report a history of mTBI.OutcomesSelf‐report measures of mTBI history, frequency of aberrant driving behaviors, recent history of car accidents and citations, and previous psychological diagnoses and current symptoms.ResultsParticipants with a history of mTBI reported an overall higher frequency of aberrant driving behaviors and committing more driving violations that risked the safety of others than comparison participants. Participants with mTBI also were more likely to have been involved in a car accident within the past 6 months and the past 3 years. Of participants with mTBI, reports of driving violations decreased with longer time since the most recent injury. Driving violations and crash risk also decreased with increased age and years of driving experience.ConclusionsIndividuals with a history of mTBI are more likely to deliberately drive in a manner that risks the safety of others and are at a heightened risk of being involved in a recent car crash. Future work should examine predictor variables in greater depth and incorporate performance‐based measures of driving ability to further explore these topics.Level of EvidenceIII
Real-Time, Automated Detection of Ventilator-Associated Events: Avoiding Missed Detections, Misclassifications, and False Detections Due to Human Error
Authors: Shenoy Erica S. , Rosenthal Eric S. , Shao Yu-Ping , Biswal Siddharth , Ghanta Manohar , Ryan Erin E. , Suslak Dolores , Swanson Nancy , Junior Valdery Moura , Hooper David C. , Westover M. Brandon 
Published: May 2018

OBJECTIVETo validate a system to detect ventilator associated events (VAEs) autonomously and in real time.DESIGNRetrospective review of ventilated patients using a secure informatics platform to identify VAEs (ie, automated surveillance) compared to surveillance by infection control (IC) staff (ie, manual surveillance), including development and validation cohorts.SETTINGThe Massachusetts General Hospital, a tertiary-care academic health center, during January–March 2015 (development cohort) and January–March 2016 (validation cohort).PATIENTSVentilated patients in 4 intensive care units.METHODSThe automated process included (1) analysis of physiologic data to detect increases in positive end-expiratory pressure (PEEP) and fraction of inspired oxygen (FiO2); (2) querying the electronic health record (EHR) for leukopenia or leukocytosis and antibiotic initiation data; and (3) retrieval and interpretation of microbiology reports. The cohorts were evaluated as follows: (1) manual surveillance by IC staff with independent chart review; (2) automated surveillance detection of ventilator-associated condition (VAC), infection-related ventilator-associated complication (IVAC), and possible VAP (PVAP); (3) senior IC staff adjudicated manual surveillance–automated surveillance discordance. Outcomes included sensitivity, specificity, positive predictive value (PPV), and manual surveillance detection errors. Errors detected during the development cohort resulted in algorithm updates applied to the validation cohort.RESULTSIn the development cohort, there were 1,325 admissions, 479 ventilated patients, 2,539 ventilator days, and 47 VAEs. In the validation cohort, there were 1,234 admissions, 431 ventilated patients, 2,604 ventilator days, and 56 VAEs. With manual surveillance, in the development cohort, sensitivity was 40%, specificity was 98%, and PPV was 70%. In the validation cohort, sensitivity was 71%, specificity was 98%, and PPV was 87%. With automated surveillance, in the development cohort, sensitivity was 100%, specificity was 100%, and PPV was 100%. In the validation cohort, sensitivity was 85%, specificity was 99%, and PPV was 100%. Manual surveillance detection errors included missed detections, misclassifications, and false detections.CONCLUSIONSManual surveillance is vulnerable to human error. Automated surveillance is more accurate and more efficient for VAE surveillance.Infect Control Hosp Epidemiol 2018;826–833
Uptake and Perceptions of E-cigarette use in Vascular Patients
Authors: Taylor Rachael , Sidloff David , Sayers Robert D. , Bown Matthew J. , Saratzis Athanasios 
Published: May 2018

Introduction: Smoking is one of the most important risk factors for cardiovascular disease (CVD). Electronic cigarettes (e-cigarettes) are becoming increasingly popular. However, little is known regarding their patterns of use in patients with established CVD.Aims: We aimed to assess the perceptions and patterns of use of e-cigarettes in patients presenting to a vascular clinic.Methods: We performed a qualitative study to identify perceptions and beliefs about e-cigarettes. Semi-structured interviews of consecutive patients consenting to participate were performed over five-months. Individuals were recruited from a vascular surgery outpatient clinic. Initial interviews were based on a questionnaire. Further structured interviews were conducted with patients currently using e-cigarettes, which were transcribed and analysed to assess perceptions and patterns of use.Results/Findings: Four overarching themes emerged: attraction to e-cigarettes as a harm reduction/smoking cessation strategy; uncertainty regarding the risks of e-cigarettes; use of various types of smoking cessation strategies; dual use and often complete relapse to tobacco products.Conclusions: Patients with established CVD view e-cigarettes as a means of smoking cessation; however, many relapse to tobacco products or use both simultaneously. Further research is necessary regarding the role of e-cigarettes in smoking cessation in this high-risk group.