bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seasonal changes of metabolites in phloem sap fromBroussonetia papyrifera
Authors: Shi Jiang-tao , Liu Hai-chong , Luo Jia-yan , Cai Li-ping 
Published: May 2018

AbstractGas chromatography-Mass spectrometry (GC-MS) were employed to analyze the whole metabolites in phloem sap ofBroussonetia papyriferaand the seasonal changes of content of these metabolites were also investigated. Thirty-eight metabolites were detected inBPphloem exudates. The highest content (44.59mg g-1) of total metabolites was presented in March. High contents of organic acids and sugars were detected inBPphloem exudates from all growing months. Smaller amounts of fatty acids and alcohols were also detected in BP phloem exudates. Interestingly, some metabolites, such as PI3 kinase inhibitor, Chlorogenic acid, Chelerythrine and palmitic acid, which have properties of bioactivity to anticancer and anti-inflammation, were also detected. Quininic acid was the most abundant organic acid, representing up to 86.3% (average value) of all organic acids. D-fructose, D-glucose, and sucrose were the major soluble sugars in phloem saps and the maximum of sugars content was 19.76mg g-1(average value) in November. Seasonal changes of contents of metabolites were different among individuals. The metabolites analysis double confirmed that theBPphloem sap can be serviced as an important resource for synthesis of pharmaceutical and human health products.
Physicochemical characteristics and high sensory acceptability in cappuccinos made with jackfruit seeds replacing cocoa powder
Authors: Papa Spada Fernanda , da Silva Paula Porrelli Moreira , Mandro Gabriela Fernanda , Margiotta GregÓrio Borghese , Spoto Marta Helena Fillet , Canniatti-Brazaca Solange Guidolin 
Published: May 2018

AbstractJackfruit seeds are an under-utilized waste product in many tropical countries. In this work, we demonstrate the potential of roasted jackfruit seeds to substitute for cocoa powder in cappuccino formulations. Two different flours were produced from a hard variety jackfruit by drying or fermenting the seeds prior to roasting. Next, seven formulations were prepared with 50%, 75%, and 100% substitution of cocoa powder with jackfruit seed flours. The acceptance of cappuccinos by consumers (n=126) and quantitative descriptive analysis (QDA®) were used to describe the preparations. Physicochemical proprieties were also evaluated. When 50% and 75% cocoa powder was replaced with dry jackfruit seed flour, there was no change in sensory acceptability or technological proprieties; however, it is possible identify advantages to using dry jackfruit seed flour, including moisture reduction and high wettability, solubility and sensory acceptation of the chocolate aroma. The principal component analysis of QDA®explained 90% variances; cluster analysis enabled the definition of four groups for six cappuccino preparations. In fact, dry jackfruit seed flour is an innovative cocoa powder substitute; it could be used in food preparations, consequently utilizing this tropical fruit waste by incorporating it as an ingredient in a common product of the human diet.
Robotic selection for the rapid development of stable CHO cell lines for HIV vaccine for production
Authors: O’Rourke Sara M , Byrne Gabriel , Tatsuno Gwen , Wright Meredith , Yu Bin , Mesa Kathryn A , Doran Rachel C , Alexander David , Berman Phillip W 
Published: May 2018

AbstractThe production of envelope glycoproteins (Envs) for use as HIV vaccines is challenging. The yield of Envs expressed in stable Chinese Hamster Ovary (CHO) cell lines is typically 10-100 fold lower than other glycoproteins of pharmaceutical interest. Moreover, Envs produced in CHO cells are typically enriched for sialic acid containing glycans compared to virus associated Envs that possess mainly high-mannose carbohydrates. This difference alters the net charge and biophysical properties of Envs and impacts their antigenic structure. Here we employ a novel gene-edited CHO cell line (MGAT1-CHO) to address the problems of low expression, high sialic acid content, and poor antigenic structure. We demonstrate that stable cell lines expressing high levels of gp120, potentially suitable for biopharmaceutical production can be created using the MGAT1-CHO cell line. We also show that the efficiency of this process can be greatly improved with robotic selection. Finally, we describe a MGAT1-CHO cell line expressing A244-rgp120 that exhibits improved binding of three major families of bN-mAbs compared to Envs produced in normal CHO cells. The new strategy described has the potential to eliminate the bottleneck in HIV vaccine development that has limited the field for more than 25 years.
SupportNet: a novel incremental learning framework through deep learning and support data
Authors: Li Yu , Li Zhongxiao , Ding Lizhong , Hu Yuhui , Chen Wei , Gao Xin 
Published: May 2018

ABSTRACTMotivationIn most biological data sets, the amount of data is regularly growing and the number of classes is continuously increasing. To deal with the new data from the new classes, one approach is to train a classification model, e.g., a deep learning model, from scratch based on both old and new data. This approach is highly computationally costly and the extracted features are likely very different from the ones extracted by the model trained on the old data alone, which leads to poor model robustness. Another approach is to fine tune the trained model from the old data on the new data. However, this approach often does not have the ability to learn new knowledge without forgetting the previously learned knowledge, which is known as the catastrophic forgetting problem. To our knowledge, this problem has not been studied in the field of bioinformatics despite its existence in many bioinformatic problems.ResultsHere we propose a novel method, SupportNet, to solve the catastrophic forgetting problem efficiently and effectively. SupportNet combines the strength of deep learning and support vector machine (SVM), where SVM is used to identify the support data from the old data, which are fed to the deep learning model together with the new data for further training so that the model can review the essential information of the old data when learning the new information. Two powerful consolidation regularizers are applied to ensure the robustness of the learned model. Comprehensive experiments on various tasks, including enzyme function prediction, subcellular structure classification and breast tumor classification, show that SupportNet drastically outperforms the state-of-the-art incremental learning methods and reaches similar performance as the deep learning model trained from scratch on both old and new data.AvailabilityOur program is accessible at: https://github.com/lykaust15/SupportNet.
Screencasting: supportive feedback for EFL remedial writing students
Authors: Ghosn-Chelala Maria , Al-Chibani Wessam 
Published: May 2018

PurposeThe purpose of this paper is to explore screencasting as a computer-mediated feedback approach for Arabic native (L1) speakers taking an English as a foreign language (EFL) college remedial writing class.Design/methodology/approachThis case study focused on an EFL remedial writing class consisting of eight Lebanese, Arabic L1 students at a private university in Lebanon. Students received screencast feedback through Jing® for one essay intended to assist them with subsequent revision. The multimodal screencast videos included indirect corrections, annotations, and oral commentary guided by a rubric. Students then completed a perspectives survey on screencast feedback. The instructor also led an informal group discussion to allow for further elaboration of students’ responses.FindingsStudents reported that screencasting’s multimodality provided for better engagement and support of learning preferences. They also perceived screencast feedback to be clearer and more useful than traditional written feedback.Research limitations/implicationsThis study applied screencasting to address feedback challenges pertaining to clarity, learning preferences, and engagement. As this was a classroom case study, further research using a larger sample is recommended.Originality/valueThe aim of research into computer-mediated human feedback is to address such challenges as increasing student engagement, improving clarity, and responding to students’ preferences. Studies of screencast feedback have been few, particularly for EFL writing students. A survey of the literature indicates the need to explore contextualized classroom feedback case studies and approaches to enhance feedback.
Dynamic analysis of sin stocks and investor sentiment
Authors: Liston-Perez Daniel , Gutierrez Juan Pablo 
Published: May 2018

Purpose
The purpose of this paper is to examine the temporal impact of individual and institutional investor sentiment on sin stock returns.

Design/methodology/approach
The authors estimate vector autoregressive models (VARs) to assess the dynamic relationships amongst pure sin returns and both types of investor sentiment. The justification for estimating VARs is that it allows one to study the potential influence that shocks (i.e. innovations) in individual and institutional investor sentiment might have on pure sin returns over time. Sin stock returns are separated into a market-based and pure sin component. Additionally, the authors split both measures of investor sentiment into rational- and irrational-based components.

Findings
This study finds that shocks to both individual and institutional rational-based sentiment positively influence pure sin returns for up to four months. However, irrational-based shocks have a positive, weaker and insignificant effect on pure sin returns. In addition, the results for the pure sin portfolio are compared to the S&P 500 and a comparables portfolio. The results show that sin stocks are less responsive than the S&P and the comparables portfolio to shocks in investor sentiment.

Originality/value
This study addresses some of the limitations found in the only prior study of sin stocks and investor sentiment (Perez Liston, 2016). Specially, this study investigates the link between sin stocks and sentiment in a dynamic context and also focuses the analysis on pure sin returns.
Human resources and manufacturing: where and when should they be aligned?
Authors: González-Sánchez Daniel , Suárez-González Isabel , Gonzalez-Benito Javier 
Published: May 2018

PurposeThe purpose of this paper is to analyse the effect that a horizontal fit between two functions (human resources (HR) and manufacturing) has on firm performance, distinguishing between fit in objectives and fit in achievements.Design/methodology/approachThis study uses 144 double surveys, addressed to two different respondents per company. Structural equation modelling was used to investigate the mediating role of fit in achievements in the relationship between fit in objectives and performance.FindingsThe study provides evidence of the particular way in which the two components of horizontal fit that the authors distinguish (fit in objectives and fit in achievements) the impact on performance: fit in objectives has an indirect effect on performance, which is fully mediated by the fit in achievements. The results also show that environmental dynamism has a significant impact on both the advantages and drawbacks of fit.Practical implicationsBy highlighting the importance of both levels of horizontal fit and distinguishing between them, this paper calls upon HR and manufacturing managers to show a greater understanding of the key dimensions common to both areas.Originality/valueThis study analyses horizontal fit by developing a framework of priorities in HR management (HRM) similar to that traditionally used in production management. In particular, it adapts the framework of production competence to the area of HRM to study the fit between the two functional strategies. This study also supports the value chain model proposed by Porter (1985).
It takes two to tango
Authors: Artto Karlos , Turkulainen Virpi 
Published: May 2018

PurposeThe purpose of this paper is to develop further understanding of the interdependence between product and organization subsystems in the context of major projects by empirically elaborating the volume-variety matrix.Design/methodology/approachProjects are perceived as systems that include a product subsystem (the project outcome) and an organization subsystem (the temporary multi-firm organizational network that produces the project outcome). This study addresses product-organization interdependence by analyzing product and organization subsystem components in terms of their uniqueness and reuse across multiple projects. The empirical analysis focuses on four global renewable fuels refinery projects implemented by Neste from 2003 to 2011. The refineries are based on the same proprietary technology but are unique at the project level.FindingsThe findings indicate interesting interdependencies between product and organization subsystems when analyzed at the component level: the findings suggest both diagonal and off-diagonal positions in the volume-variety matrix. An example of an off-diagonal position is a reused organization subsystem component associated with a unique product subsystem component, meaning that choosing the same organization in a future project can be used for acquiring an improved and, thereby, unique product subsystem component.Originality/valueThe study elaborates upon the volume-variety matrix in the context of major projects. The findings related to off-diagonal positions in the matrix provide new knowledge on combinations at the component level where a reused organization can be associated with a unique product, and vice versa. This has direct implications for management of projects.
Analysing healthcare coordination using translational mobilization
Authors: Allen Davina 
Published: May 2018

Purpose
The purpose of this paper is to introduce translational mobilization theory (TMT) and explore its application for healthcare quality improvement purposes.

Design/methodology/approach
TMT is a generic sociological theory that explains how projects of collective action are progressed in complex organizational contexts. This paper introduces TMT, outlines its ontological assumptions and core components, and explores its potential value for quality improvement using rescue trajectories as an illustrative case.

Findings
TMT has value for understanding coordination and collaboration in healthcare. Inviting a radical reconceptualization of healthcare organization, its potential applications include: mapping healthcare processes, understanding the role of artifacts in healthcare work, analyzing the relationship between content, context and implementation, program theory development and providing a comparative framework for supporting cross-sector learning.

Originality/value
Poor coordination and collaboration are well-recognized weaknesses in modern healthcare systems and represent important risks to quality and safety. While the organization and delivery of healthcare has been widely studied, and there is an extensive literature on team and inter-professional working, we lack readily accessible theoretical frameworks for analyzing collaborative work practices. TMT addresses this gap in understanding.
Transforming primary care: scoping review of research and practice
Authors: Miller Robin , Weir Catherine , Gulati Steve 
Published: May 2018

Purpose
The purpose of this paper is to reflect on research evidence and practice experience of transforming primary care to a more integrated and holistic model.

Design/methodology/approach
It is based on a scoping review which has been guided by primary care stakeholders and synthesises research evidence and practice experience from ten international case studies.

Findings
Adopting an inter-professional, community-orientated and population-based primary care model requires a fundamental transformation of thinking about professional roles, relationships and responsibilities. Team-based approaches can replicate existing power dynamics unless medical clinicians are willing to embrace less authoritarian leadership styles. Engagement of patients and communities is often limited due to a lack of capacity and belief that will make an impact. Internal (relationships, cultures, experience of improvement) and external (incentives, policy intentions, community pressure) contexts can encourage or derail transformation efforts.

Practical implications
Transformation requires a co-ordinated programme that incorporates the following elements – external facilitation of change; developing clinical and non-clinical leaders; learning through training and reflection; engaging community and professional stakeholders; transitional funding; and formative and summative evaluation.

Originality/value
This paper combines research evidence and international practice experience to guide future programmes to transform primary care.
Translating Behavioral Science into Practice: A Framework to Determine Science Quality and Applicability for Police Organizations
Authors: McClure Kimberley A. , McGuire Katherine L. , Chapan Denis M. 
Published: May 2018

AbstractPolicy on officer‐involved shootings is critically reviewed and errors in applying scientific knowledge identified. Identifying and evaluating the most relevant science to a field‐based problem is challenging. Law enforcement administrators with a clear understanding of valid science and application are in a better position to utilize scientific knowledge for the benefit of their organizations and officers. A recommended framework is proposed for considering the validity of science and its application. Valid science emerges via hypothesis testing, replication, extension and marked by peer review, known error rates, and general acceptance in its field of origin. Valid application of behavioral science requires an understanding of the methodology employed, measures used, and participants recruited to determine whether the science is ready for application. Fostering a science–practitioner partnership and an organizational culture that embraces quality, empirically based policy, and practices improves science‐to‐practice translation.
Bedside Sonography Performed by Emergency Physicians to Detect Appendicitis in Children
Authors: Nicole Marie , Desjardins Marie Pier , Gravel Jocelyn 
Published: May 2018

AbstractObjectiveThe aim of this study was to evaluate the ability of emergency physicians with various levels of point‐of‐care ultrasound (POCUS) experience to detect appendicitis with POCUS among children visiting a pediatric emergency department (ED).MethodsA prospective cohort study was conducted in an urban, tertiary care pediatric ED. Children aged 2 to 18 years old who presented with acute abdominal pain suggesting appendicitis were included. Patients were excluded if they had a history of appendectomy or hemodynamic instability requiring resuscitation or were transferred with proven diagnosis of appendicitis. Participating physicians had various levels of POCUS experience. Four of the 22 physicians were experienced in bowel sonography while the others had basic experience in abdominal POCUS. All the participating physicians received a 1‐hour didactic and practical training session on appendix ultrasound. The treating physician performed POCUS following initial physical examination, before further radiologic evaluation. POCUS examinations were recorded as positive for appendicitis, normal, or inconclusive, with normal or inconclusive studies considered negative. Final outcomes were determined by pathology and/or operative reports for surgical cases and telephone follow‐up at 3 weeks for those who did not have surgery. The primary analysis was a simple proportion for sensitivity and specificity for POCUS. Expecting a sensitivity of 80% based on previous studies, we calculated that a sample size of 50 cases would provide a 95% confidence interval (CI) ranging from 66% to 90%.ResultsOf the 140 approached patients, 121 accepted to participate and were recruited. After four patients were excluded for missing POCUS data, 117 patients were included in the primary analysis, of whom 51 (44%) had appendicitis. Twenty‐two physicians performed between one and 20 POCUS procedures. The POCUS was positive in 39, negative in nine, and inconclusive in 69 patients. POCUS was interpreted as positive in 27 of 51 appendicitis for a sensitivity of 0.53 (95% CI = 0.40–0.66). A negative or inconclusive POCUS was reported for 54 of 66 patients without appendicitis (specificity = 0.82; 95% CI = 0.71–0.89).ConclusionThis study shows limited sensitivity and specificity of POCUS for appendicitis in children, with a high proportion of inconclusive examinations, when performed by emergency physicians with various level of experience in POCUS.
Causes of Shortness of Breath in the Acute Patient: A National Study
Authors: Hale Zachariah E. , Singhal Astha , Hsia Renee Y. 
Published: May 2018

AbstractBackgroundDyspnea is a common and ambiguous complaint that results in 3.4 million emergency department (ED) visits annually. While learners may encounter lists of differential diagnoses to consider while in training, often these lists are not empirically based. We sought to establish an evidence‐based differential diagnosis for dyspnea and to determine whether normal vital signs can rule out a life‐threatening diagnosis.MethodsWe analyzed data from the National Hospital Ambulatory Medical Care Survey from 2005 to 2014 for ED visits with a chief complaint of dyspnea and tallied the principal discharge diagnosis. We included 10,170 sampled ED visits by adults with a chief complaint of dyspnea, representing nearly 42 million visits nationally. We then calculated the most common principal discharge diagnoses by age group and the frequency of abnormal respiratory vital signs in cases with life‐threatening diagnoses.ResultsThe most represented age group was 45 to 64 years (31.6%). Most visits were discharged directly from the ED (57.5%), while 8.1% required admission to an intensive care unit (ICU). The most common diagnosis in patients aged 18 to 44 was acute asthma exacerbation (14.8%). Obstructive chronic bronchitis was the most common specified diagnosis in both patients ages 45 to 64 (11.1%) and patients ages 65 to 79 (12.4%), while congestive heart failure was the most common for patients ages 80 and over (15.9%). Respiratory vital signs were frequently normal in the 44.6% of visits that resulted in a potentially life‐threatening diagnosis but corresponded to increased ICU utilization when abnormal.ConclusionsFor patients with dyspnea, the high utilization of ICUs highlights the importance of an accurate differential. The frequencies established here can be used as pretest probabilities in Bayesian analysis to improve the accuracy of differential diagnosis lists.