bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imagining better societies: A social psychological framework for the study of utopian thinking and collective action
Authors: Badaan Vivienne , Jost John T. , Fernando Julian , Kashima Yoshihisa 
Published: March 2020

AbstractWe present an integrative theoretical model that specifies social psychological mechanisms by which utopian thinking, which activates the social imagination, may enhance collective action intentions oriented toward social change and human progress. The model synthesizes complementary insights from interdisciplinary research programs on utopianism, hope, construal level, and system justification to identify mechanisms by which imagining better societies: (a) increases social hope, (b) yields an abstract mindset that bridges the psychological distance between the status quo (“here and now”) and a better possible future, (c) decreases system justification motivation, and (d) promotes social justice‐oriented forms of collective action.
Teaching English through pedagogical translanguaging
Authors: Cenoz Jasone , Gorter Durk 
Published: March 2020

AbstractTeaching English has traditionally been associated with a monolingual bias and the exclusive use of English in the classroom is highly recommended in different countries. Nowadays English is widely used to teach academic content and this strict separation of languages can be problematic because it prevents students from using resources they have previously acquired in other languages (Cenoz & Gorter, 2015; Kubota, 2018). In this article we discuss ‘pedagogical translanguaging’ understood as intentional instructional strategies that integrate two or more languages and aim at the development of the multilingual repertoire as well as metalinguistic and language awareness. Pedagogical translanguaging considers learners as emergent multilinguals who can use English and other languages depending on the social context. Their linguistic resources are valued and learners are not seen as deficient users of English but as multilingual speakers.
Development and Evaluation of the High-Intensity Interval Training Self-Efficacy Questionnaire
Authors: Eather Narelle , Beauchamp Mark R. , Rhodes Ryan E. , Diallo Thierno M.O. , Smith Jordan J. , Jung Mary E. , Plotnikoff Ronald C. , Noetel Michael , Harris Nigel , Graham Emily , Lubans David R. 
Published: March 2020

This study involved the design and evaluation of the High-Intensity Interval Training Self-Efficacy Questionnaire (HIIT-SQ). Phase 1: Questionnaire items were developed. Phase 2: Australian adolescents (N = 389, 16.0 ± 0.4 years, 41.10% female) completed the HIIT-SQ, and factorial validity of the measurement model was explored. Phase 3: Adolescents (N = 100, age 12–14 years, 44% female) completed the HIIT-SQ twice (1 week apart) to evaluate test–retest reliability. Confirmatory factor analysis of the final six items (mean = 3.43–6.73, SD = 0.99–25.30) revealed adequate fit, χ2(21) = 21, p = .01, comparative fit index = .99, Tucker–Lewis index = .99, root mean square of approximation = .07, 90% confidence interval [.04, .11]. Factor loading estimates showed that all items were highly related to the factor (estimates range: 0.81–0.90). Intraclass coefficients and typical error values were .99 (95% confidence interval [.99, 1.00]) and .22, respectively. This study provides preliminary evidence for the validity and reliability of scores derived from the HIIT-SQ in adolescents.
What types of dissemination of information occurred between researchers, providers and clinical staff while implementing an asthma shared decision-making intervention: a directed content analysis
Authors: Ludden Thomas , Shade Lindsay , Welch Madelyn , Halladay Jacqueline , Donahue Katrina E , Coyne-Beasley Tamera , Bray Paul , Tapp Hazel 
Published: March 2020

ObjectiveTo qualitatively analyse different types of dissemination of information during monthly group calls between researchers, providers and clinical staff used to establish best practices for implementing an asthma shared decision-making (SDM) intervention. Evaluating dissemination of information can provide a better understanding of how best practices are shared, informing implementation approaches to improve the uptake of new evidence and overcome barriers.Setting10 primary care practices in North Carolina.ParticipantsProviders and clinical staff participated in monthly group phone calls with researchers to share best practices during implementation of a SDM intervention for asthma patients.DesignThe research team transcribed and coded statements using content analysis into three different knowledge types: Knowledge Position, Knowledge Form and Knowledge Object. Knowledge Objects were further classified using directed content analysis where the research team interpreted the content objects through a classification process of identifying themes or patterns to describe three different types of dissemination of information: (A) Confirmation of Existing Knowledge, (B) Generation of New Knowledge and (C) Spreading of New Knowledge.ResultsAcross the 8 transcripts, 4 Knowledge Positions, 7 Knowledge Forms and 18 types of Knowledge Objects were identified. From the Knowledge Objects, Confirmation of Existing Knowledge occurred during the training of participating practices. The review also identified Generation of New Knowledge by providers and clinical staff raised in these calls. This Generation of New Knowledge was later documented being used by other practices with the identification of Spreading of New Knowledge.ConclusionThe research team described the types of dissemination of information that occurred between researchers, providers and clinical staff during implementation of an asthma SDM intervention. Both Confirmation of Existing Knowledge and Generation of New Knowledge in response to barriers occurred. These exploratory dissemination of information results provide additional mechanisms for evaluating implementation science.Trial registration numberNCT02047929; Post-results
Central Sensitisation and functioning in patients with chronic low back pain: protocol for a cross-sectional and cohort study
Authors: Ansuategui Echeita Jone , Schiphorst Preuper Henrica R , Dekker Rienk , Stuive Ilse , Timmerman Hans , Wolff Andre P , Reneman Michiel F 
Published: March 2020

IntroductionA relevant subsample of patients with chronic low back pain (CLBP) have manifested augmented central pain processing, central sensitisation (CS). Patients with CLBP have limited functioning and participation. Theoretically, physical functioning in patients with CLBP can plausibly be linked to CS; however, evidence to explain such association is scarce. Moreover, there is no gold standard for CS diagnosis. The objectives of the study are: (1) to analyse the association between instruments assessing reference symptoms and signs attributed to CS; (2) to analyse whether reference symptoms and signs attributed to CS are associated with functioning measurement outcomes; and (3) to analyse whether changes (between baseline and discharge) in reference symptoms and signs attributed to CS are related to changes in each of the functioning measurement outcomes.Methods and analysisA cross-sectional and longitudinal observational study is performed with measurements taken at baseline and discharge of an interdisciplinary rehabilitation programme. A sample size of 110 adult patients with CLBP has been calculated for the study. CS measurements are: Central Sensitisation Inventory, quantitative sensory testing and heart rate variability. Functioning measurements are: lifting capacity, maximal aerobic capacity, accelerometry and reported functioning. Statistical analyses to be performed are: (1) correlation between CS measurements, (2) multiple regression between functioning (dependent variable) and CS measurements (independent variable), and (3) multiple regression between changes in scores of functioning (dependent variable) and CS measurements (independent variable), and corrected for sex and age.Ethics and disseminationThe study obtained the clearance to its implementation from the Medical Research Ethics Committee of the University Medical Center Groningen in July 2017. The results will be disseminated through scientific publications in peer-reviewed journals, presentations at relevant conferences, and reports to stakeholders.Trial registration numberNTR7167/NL6980.
Circulating liver enzymes and risks of chronic diseases and mortality in the prospective EPIC-Heidelberg case-cohort study
Authors: Katzke Verena , Johnson Theron , Sookthai Disorn , Hüsing Anika , Kühn Tilman , Kaaks Rudolf 
Published: March 2020

ObjectivesElevated liver enzyme concentrations in blood are indicative of liver diseases and may provide an early signal for being at risk for other chronic diseases. Our study aimed to assess the relationships of alkaline phosphatase (ALP), gamma-glutamyltransferase (GGT), alanine aminotransferase (ALT), aspartate transaminase (AST) and the De Ritis ratio (AST/ALT) with incidence and mortality of cardiovascular diseases (CVD) and the four most common cancers, that is, breast, prostate, colorectal and lung.Setting, participants and outcome measuresWe analysed a case-cohort sample of the prospective European Prospective Investigation into Cancer and Nutrition-Heidelberg cohort, including cancer (n=1632), cancer mortality (n=761), CVD (n=1070), CVD mortality (n=381) and a random subcohort (n=2739) with an average follow-up duration of 15.6 years. Concentrations of liver enzymes were measured in prediagnostic blood samples and Prentice-weighted Cox regression models were used to estimate HRs with 95% CIs.ResultsHigh ALP levels were associated with increased risk for lung cancer and all-cause mortality (highest vs lowest quartile, multivariable adjusted HR=2.39 (95% CI 1.30 to 4.39), HR=1.31 (95% CI 1.02 to 1.67)), high AST levels with all-cause mortality (HR=1.45 (95% CI 1.15 to 1.82)), and a high De Ritis ratio with prostate cancer risk, all-cause and cancer mortality (HR=1.61 (95% CI 1.10 to 2.36), HR=1.60 (95% CI 1.25 to 2.04), HR=1.67 (95% CI 1.26 to 2.23)). Using cut-points for liver enzyme levels above normal, we observed positive associations for all-cause mortality with ALP, GGT and AST, and assigning a combined risk score resulted in positive associations with all-cause and cause-specific mortality.ConclusionsMeasurements of serum liver enzymes, as routinely performed in health check-ups, may support the identification of individuals at increased risk for all-cause mortality. Further prospective studies are needed to verify our first results on individual cancers and on a combined risk score.
Observational stepped-wedge analysis of a community health worker-led intervention for diabetes and hypertension in rural Mexico
Authors: Worster Devin T , Franke Molly F , Bazúa Rodrigo , Flores Hugo , García Zulema , Krupp Joanna , Maza Jimena , Palazuelos Lindsay , Rodríguez Katia , Newman Patrick M , Palazuelos Daniel 
Published: March 2020

ObjectivesThere is emerging interest and data supporting the effectiveness of community health workers (CHWs) in non-communicable diseases (NCDs) in low/middle-income countries (LMICs). This study aimed to determine whether a CHW-led intervention targeting diabetes and hypertension could improve markers of clinical disease control in rural Mexico.Design and settingA prospective observational stepped-wedge study was conducted across seven communities in rural Chiapas, Mexico from March 2014 to April 2018.Participants149 adults with hypertension and/or diabetes.InterventionThis study was conducted in the context of the programmatic roll-out of an accompaniment-based CHW-led intervention designed to complement comprehensive primary care for adults with diabetes and/or hypertension. Implementation occurred sequentially at 3-month intervals with point-of-care data collected at baseline and every 3 months thereafter for 12 months following roll-out in all communities.Outcome measuresPrimary outcomes were glycated haemoglobin (HbA1c) and systolic blood pressure (SBP), overall and stratified by baseline disease control. We conducted an individual-level analysis using mixed effects regression, adjusting for time, cohort and clustering at the individual and community levels.ResultsAmong patients with diabetes, the CHW-led intervention was associated with a decrease in HbA1c of 0.35%; however, CIs were wide (95% CI −0.90% to 0.20%). In patients with hypertension, there was a 4.7 mm Hg decrease in SBP (95% CI −8.9 to −0.6). In diabetic patients with HbA1c ≥9%, HbA1c decreased by 0.96% (95% CI −1.69% to −0.23%), and in patients with uncontrolled hypertension, SBP decreased by 10.2 mm Hg (95% CI −17.7 to −2.8).ConclusionsWe found that a CHW-led intervention resulted in clinically meaningful improvement in disease markers for patients with diabetes and hypertension, most apparent among patients with hypertension and patients with uncontrolled disease at baseline. These findings suggest that CHWs can play a valuable role in supporting NCD management in LMICs.Trial registration numberNCT02549495.
A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics
Authors: Chan T.-H. Hubert , Jiang Haotian , Jiang Shaofeng H.-C. 
Published: March 2020

We present a unified (randomized) polynomial-time approximation scheme (PTAS) for the prize collecting traveling salesman problem (PCTSP) and the prize collecting Steiner tree problem (PCSTP) in doubling metrics. Given a metric space and a penalty function on a subset of points known as terminals, a solution is a subgraph on points in the metric space whose cost is the weight of its edges plus the penalty due to terminals not covered by the subgraph. Under our unified framework, the solution subgraph needs to be Eulerian for PCTSP, while it needs to be a tree for PCSTP. Before our work, even a QPTAS for the problems in doubling metrics is not known.
Our unified PTAS is based on the previous dynamic programming frameworks proposed in Talwar (STOC 2004) and Bartal, Gottlieb, Krauthgamer (STOC 2012). However, since it is unknown which part of the optimal cost is due to edge lengths and which part is due to penalties of uncovered terminals, we need to develop new techniques to apply previous divide-and-conquer strategies and sparse instance decompositions.
Numb negatively regulates the epithelial-to-mesenchymal transition in colorectal cancer through the Wnt signaling pathway
Authors: Cheng Chi , Huang Zhenfeng , Zhou Ruiyao , An Huimin , Cao Gaojian , Ye Jun , Huang Chaolin , Wu Daoyi 
Published: March 2020

Colorectal cancer (CRC) is one of the most common malignant tumors and is associated with a high mortality rate due to the lack of specific biomarkers available for early diagnosis, targeted therapies, and prognostic surveillance. In the present study, we investigated the function of Numb and its underlying mechanism in CRC. Immunohistochemical staining and clinicopathological analysis were used to assess the expression of Numb and its clinical significance in patients with CRC. Quantitative real-time polymerase chain reaction, cell proliferation, Western blot, wound healing, Transwell, and TOP/FOP flash reporter assays were used to investigate the function of Numb and its underlying mechanism in CRC. Numb expression was downregulated and negatively correlated with the depth of invasion, tumor size, metastasis, TNM stage, and epithelial-to-mesenchymal transition (EMT) markers in CRC specimens. Numb negatively regulates the EMT, proliferation, invasion, migration, and the Wnt signaling pathway in vitro, as well as tumor growth and metastasis in vivo. Furthermore, activation of the Wnt signaling pathway by Wnt-3A negated the effect of Numb overexpression, whereas inhibition of the Wnt signaling pathway by IWR-1 impaired the effect of the Numb knockdown on the EMT. We concluded that Numb downregulation is a common event in patients with CRC and is closely correlated with cancer progression and a poor prognosis. Numb functions as a tumor suppressor in CRC, and its tumor suppressor function is mediated by negative regulation of the EMT through the Wnt signaling pathway. NEW & NOTEWORTHY We investigate the function of Numb and its underlying mechanism in colorectal cancer through quantitative real-time polymerase chain reaction, cell proliferation, Western blot, wound healing, Transwell, and TOP/FOP flash reporter assays. We conclude that Numb can negatively regulate the epithelial-to-mesenchymal transition through the Wnt signaling pathway to inhibit the development of colorectal cancer.
Real time object customization in CAD system
Authors: Z. Abidin Z. F. , Osman Zahid M. N. 
Published: March 2020

Object customization in Computer Aided Design (CAD) is a method used to modify the sketch parameters and change the model geometries. This method is one of important features in part modelling which empowered CAD user to simply modify their product. The conventional method of modifying CAD model is usually relied on the manual editing. This paper outlines a development of program than can be integrated in CAD/CAM system for real time object customization. It uses Visual Basic (VB) programming with custom Graphical User Interface (GUI) generated in NX10 (CAD/CAM software) interface. The main contribution of this research is a tool for real time object customization that capable to assist the modification of 3D model. In order to develop the tool, 3D model modification instructions are translated into programming codes by using Journaling tools in NX interface. Editable parameters are identified based on the model shapes. The related codes are reconstructed, modified and linked to the functional GUI. This allows user to simply modify the model shapes in real time with minimum process steps. The performance of the method is evaluated in terms of the reduction of process steps and time in modifying the 3D model in CAD system. All the findings and details of approach are presented.
Design of P-shaped microstrip patch antenna for wireless communication systems
Authors: Thaher Raad H. , Baqir Hassan Noor 
Published: March 2020

A P-shaped microstrip patch antenna is proposed and studied to obtain operating bandwidth of (5.883-9.9) GHz. Then the antenna is extended by etching slots in the ground plane to be (5.73 – 10.234) GHz and gain varies from 2.809 dBi to 4.947 dBi. The antenna is installed on FR-4 substrate having relative dielectric constant of = 4.3 and loss tangent of 0.02. The antenna size is (30×30×1.6) simulation results were obtained using CST software 2016. The proposed was fabricated and tested by vector network analyzer VNA and noted reasonable agreement between simulated and measured result.
Optimized neuro-PSO-based software maintainability prediction using relief features selection method
Authors: Baskar N. , Chandrasekar C 
Published: March 2020

<p>The recent development in software engineering reveals the importance of software maintenance during the time of software development that is becoming more important in software development environment and software metrics, which are very essential for measuring the maintainability of software, software complexity, estimating size, quality and project efforts. There are various approaches through which one can estimate the software cost and predict on various kinds of deliverable items. This paper aims at developing an optimized Neuro-PSO-based software maintainability prediction model by applying the dimensionality reduction using relief feature selection method for identifying the optimal feature subsets in order to increase the accuracy and reduce the time complexity of the prediction model. The simulation result proves the performance of the proposed model which will be more beneficial for the software developers in predicting the maintenance of the software in advance.</p>
Fast surveillance video indexing & retrieval with WiFi MAC address tagging
Authors: L. Tan K. , C. Lim K. 
Published: March 2020

<span>Conventional public safety surveillance video camera systems required 24/7 monitoring of security officers with video wall display installed in the control room. When a crime or incident is reported, all the recorded surveillance video streams nearby the incident area are playback simultaneously on video wall to help locate the target person. The security officers can fast forward the video playback to speed up the video search, but it requires massive manpower if there are hundreds of video streams required to be examined on the video wall. One of the possible solutions is through a suitable video indexing and retrieval technique to prioritize the video frames that need to be processed. This paper presents a WiFi sniffer enabled surveillance camera, with 3-stage WiFi frame inspection filter and the use of collected WiFi signal strength for filtering, to tag the collected WiFi MAC addresses to the surveillance video frames according to the time of the MAC address is sniffed. Additional metadata (WiFi MAC address of smartphone) collected during the occurrence of the incident can be used to prioritize the retrieving of surveillance video frames for subsequent image processing. </span>
Privacy preserving outsourcing algorithm for two-point linear boundary value problems
Authors: Mohammed Nedal , Sultan Laman R. , Lomte Santosh 
Published: March 2020

<p>One of a powerful application in the age of cloud computing is the outsourcing of scientific computations to cloud computing which makes cloud computing a very powerful computing paradigm, where the customers with limited computing resource and storage devices can outsource the sophisticated computation workloads into powerful service providers. One of scientific computations problem is Two-Point Boundary Value Problems(BVP) is a basic engineering and scientific problem, which has application in various domains. In this paper, we propose a privacy-preserving, verifiable and efficient algorithm for Two-Point Boundary Value Problems in outsourcing paradigm. We implement the proposed schema on the customer side laptop and using AWS compute domain elastic compute cloud (EC2) for the cloud side.</p>
Determination of news biasedness using content sentiment analysis algorithm
Authors: SV Shri Bharathi , Geetha Angelina 
Published: March 2020

<span lang="EN-US">Nowadays, i</span><span lang="EN-US">dentifying news biases in the social media is one of the most fundamental problems. News bias is a complex process that comprises several dimensions to be taken into account and it is interlinked with social, political and economic problems. In general, news bias has the ability to reflect opinion of people about a topic or government policies and actions. The proposed algorithm develops a system which can detect the biasedness of news topics from different news Websites.</span><span>This approach automatically collects the news contents from various online news media portals and then consolidates them for the determination of news biasedness. </span><span lang="EN-US">In the experimental study, the news topics are gathered from various Websites of U.S., U.K., and India. For training dataset 3265 news sentences were collected under various news topics from 20 different news Websites. The effectiveness of classification of algorithm is proved by the extensive experimental study. The proposed algorithm provides a method improves the determination of news biasedness, which in turn may help in providing impartial, unbiased and reliable information.</span>