bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antibiotic treatment shapes antigen presentation during chronic TB infection, offering novel targets for therapeutic vaccination
Authors: Chuang Yu-Min , Dutta Noton K. , Pinn Michael L. , Hung Chien-Fu , Karakousis Petros C. 
Published: May 2019

AbstractThe lengthy and complicated current regimen required to treat drug-susceptible tuberculosis (TB) reflects the ability ofMycobacterium tuberculosis(Mtb) to persist in host tissues. The stringent response pathway, governed by the dual (p)ppGpp synthetase/hydrolase, RelMtb, is a major mechanism underlying Mtb persistence and antibiotic tolerance. In the current study, we addressed the hypothesis that RelMtbis a “persistence antigen” presented during TB chemotherapy and that enhanced T-cell immunity to RelMtbcan enhance the tuberculocidal activity of the first-line anti-TB drug, isoniazid, which has reduced efficacy against Mtb persisters, C57BL/6 mice and Hartley guinea pigs were aerosol-infected withMycobacterium tuberculosis(Mtb) and, 4 weeks later, received either human-equivalent daily doses of isoniazid alone, or isoniazid in combination with a DNA vaccine targetingrelMtb. After isoniazid treatment, the total number of Mtb antigen-specific CD4+T cells remained stable in mouse lungs and spleens, as did the number of RelMtb-specific T cells, although there was a significant reduction in dominant antigen ESAT6-specific CD4+or TB10.4-specific CD8+T cells in the lungs and spleens of mice, Therapeutic vaccination enhanced the activity of isoniazid in Mtb-infected C57BL/6 mice and guinea pigs. When treatment with isoniazid was discontinued, mice immunized with therelMtbDNA vaccine showed a lower mean lung bacterial burden at relapse compared to the control group. Our work shows that antitubercular treatment shapes antigen presentation and antigen-specific T-cell responses, and that therapeutic vaccination targeting the Mtb stringent response may represent a novel approach to enhance immunity against Mtb persisters, with the ultimate goal of shortening curative TB treatment.
A design studio experience: impacts of social sustainability
Authors: Ceylan Salih , Soygeniş Murat Deniz 
Published: May 2019

Purpose
Sustainability, especially in terms of development and growth, has been in the agenda of the world community for several decades. However, apparently not all the aspects of sustainability are given equal importance. Ecologic and economic components of sustainability have been in the focal point of many theoretical and practical works, as the social aspect has been mostly left out of emphasis. The purpose of this paper is to examine the social aspects of sustainability and its relation to architecture, with respect to the strong connection between the society and the built environment.

Design/methodology/approach
The core of the paper consists of a case study conducted at a design studio course for third-year architecture students whereas the outcomes of the student works on the design problem are evaluated as examples for design approaches to reflect the effects of the built environment on social sustainability. The case study is supported with a literature review and examination of existing approaches to similar subjects regarding social sustainability.

Findings
The findings resulted in a better understanding of social sustainability in architectural education which is reflected on the built environment through several architectural strategies.

Originality/value
This paper contributes to the literature by providing a holistic understanding of sustainability including its social aspects and creating an awareness for the importance of social sustainability in architectural education.
Superior grey relational analysis on blood lipids and hematological parameters
Authors: Yan Jingyi , Zhu Jin-Xiu , Lu Nan , Gao Shanshan , Ye Jianfeng , Yu Chengzhi , Yue Minghui , Tan Xuerui 
Published: May 2019

Purpose
The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey relational analysis (GRA).

Design/methodology/approach
A total of 294 individuals who underwent simultaneous routine blood examination and blood lipid examination in the Physical Examination Center of the First Affiliated Hospital of Shantou University Medical College were included in this study. Superior GRA was performed to find out the superior factor in CVD-related hematological parameters and blood lipids. CVD-related hematological parameters included red blood cell distribution width, white cell count, and platelet count, platelet distribution width, mean platelet volume, as well as platelet crit. The indicators of blood lipids analyzed here consist of low-density lipoprotein, high-density lipoprotein, triglyceride and total cholesterol.

Findings
The results showed that all the grey relational degree of hematological parameters and blood lipids were over 0.8; the superior factor in hematological parameters was PLT, whereas TC was the superior factor in blood lipids.

Practical implications
Findings of this study suggested that hematological parameters are closely related to blood lipids and a potential role for hematological parameters in the prediction of dyslipidemia, which need further study; TC has the greatest influence on hematological parameters, whereas TG displays a minimal impact.

Originality/value
To the authors’ best knowledge, it was the first study to analyze the relationship between various CVD-related hematological parameters and blood lipids via superior GRA.
Application of quasi-oppositional symbiotic organisms search based extreme learning machine for stock market prediction
Authors: Rath Smita , Sahu Binod Kumar , Nayak Manoj Ranjan 
Published: May 2019

PurposeForecasting of stock indices is a challenging issue because stock data are dynamic, non-linear and uncertain in nature. Selection of an accurate forecasting model is very much essential to predict the next-day closing prices of the stock indices. The purpose of this paper is to develop an efficient and accurate forecasting model to predict the next-day closing prices of seven stock indices.Design/methodology/approachA novel strategy called quasi-oppositional symbiotic organisms search-based extreme learning machine (QSOS-ELM) is proposed to forecast the next-day closing prices effectively. Accuracy in the prediction of closing price depends on output weights which are dependent on input weights and biases. This paper mainly deals with the optimal design of input weights and biases of the ELM prediction model using QSOS and SOS optimization algorithms.FindingsSimulation is carried out on seven stock indices, and performance analysis of QSOS-ELM and SOS-ELM prediction models is done by taking various statistical measures such as mean square error, mean absolute percentage error, accuracy and paired samplet-test. Comparative performance analysis reveals that the QSOS-ELM model outperforms the SOS-ELM model in predicting the next-day closing prices more accurately for all the seven stock indices under study.Originality/valueThe QSOS-ELM prediction model and SOS-ELM are developed for the first time to predict the next-day closing prices of various stock indices. The pairedt-test is also carried out for the first time in literature to hypothetically prove that there is a zero mean difference between the predicted and actual closing prices.
LSTM based prediction algorithm and abnormal change detection for temperature in aerospace gyroscope shell
Authors: Shi Haoqiang , Hu Shaolin , Zhang Jiaxu 
Published: May 2019

Purpose
Abnormal changes in temperature directly affect the stability and reliability of a gyroscope. Predicting the temperature and detecting the abnormal change is great value for timely understanding of the working state of the gyroscope. Considering that the actual collected gyroscope shell temperature data have strong non-linearity and are accompanied by random noise pollution, the prediction accuracy and convergence speed of the traditional method need to be improved. The purpose of this paper is to use a predictive model with strong nonlinear mapping ability to predict the temperature of the gyroscope to improve the prediction accuracy and detect the abnormal change.

Design/methodology/approach
In this paper, an double hidden layer long-short term memory (LSTM) is presented to predict temperature data for the gyroscope (including single point and period prediction), and the evaluation index of the prediction effect is also proposed, and the prediction effects of shell temperature data are compared by BP network, support vector machine (SVM) and LSTM network. Using the estimated value detects the abnormal change of the gyroscope.

Findings
By combined simulation calculation with the gyroscope measured data, the effect of different network hyperparameters on shell temperature prediction of the gyroscope is analyzed, and the LSTM network can be used to predict the temperature (time series data). By comparing the performance indicators of different prediction methods, the accuracy of the shell temperature estimation by LSTM is better, which can meet the requirements of abnormal change detection. Quick and accurate diagnosis of different types of gyroscope faults (steps and drifts) can be achieved by setting reasonable data window lengths and thresholds.

Practical implications
The LSTM model is a deep neural network model with multiple non-linear mapping levels, and can abstract the input signal layer by layer and extract features to discover deeper underlying laws. The improved method has been used to solve the problem of strong non-linearity and random noise pollution in time series, and the estimated value can detect the abnormal change of the gyroscope.

Originality/value
In this paper, based on the LSTM network, an double hidden layer LSTM is presented to predict temperature data for the gyroscope (including single point and period prediction), and validate the effectiveness and feasibility of the algorithm by using shell temperature measurement data. The prediction effects of shell temperature data are compared by BP network, SVM and LSTM network. The LSTM network has the best prediction effect, and is used to predict the temperature of the gyroscope to improve the prediction accuracy and detect the abnormal change.
The dynamic capabilities of public construction clients in the healthcare sector
Authors: Adam Abderisak , Lindahl Göran , Leiringer Roine 
Published: May 2019

Purpose
Previous research within the dynamic capabilities literature has primarily targeted the strategic innovation of technology firms and significantly less interest has been given to project-based organizations that operate in the construction sector. A recent study by Davies and Brady (2016) places the dynamic capabilities concept in a project-based context, drawing upon research on dynamic capabilities and organizational ambidexterity. The purpose of this paper is to apply the aforementioned framework in a case involving public construction clients with the aim of examining their approaches for maintaining or developing project capabilities depending on the volatility of the environment.

Design/methodology/approach
The study is based on a case study of a decentralized association of 16 healthcare client organizations in Swedish counties, which was compared to a centralized unit for healthcare planning and construction in Norway. In total, 19 interviews were conducted, alongside two workshops and a feedback questionnaire.

Findings
The interviewees emphasized the lack of adequate support to handle the increasingly more complex projects. Results indicate the need for a more segmented approach for understanding how dynamic capabilities are managed in client organizations based not merely on the level of stability in the environment, but also taking into account the resources that are utilized. It is further argued that there is a need for a more granular research approach to studying the development of capabilities in a case-based setting, an approach that more specifically links the development of dynamic capabilities with their relevant antecedent activities.

Originality/value
The study sheds light on how the various approaches for maintaining/developing project capabilities available to the public sector construction client depend on the volatility of the environment and the resources they require.
Integrated marketing channel relationships: integration dimensions and channel performance
Authors: Hara Yoritoshi 
Published: May 2019

Purpose
Inter-firm integration is a multidimensional concept. This study aims to examine the performance effects of two aspects of inter-firm integration, coordination integration and authority integration, and their co-alignment with strategic and contextual factors.

Design/methodology/approach
The author conducted a quantitative empirical study using survey data of Japanese manufacturing companies’ relationships with their wholesalers to test hypotheses based on a literature review.

Findings
Coordination integration has a positive performance effect. There is co-alignment between high (low) coordination integration and high (low) product uniqueness. High (low) coordination integration is associated with high (low) demand uncertainty. High (low) authority integration is consistent with high (low) behavioral uncertainty.

Research limitations/implications
This study contributes theoretically to marketing channel and business-to-business marketing literature by holistically examining the linkages among governance forms, marketing-strategic factors, exchange-contextual factors and inter-firm performance. A limitation of this study is that the research data were collected in only one country, Japan. Thus, country-specific factors might affect the analytical outcomes.

Practical implications
Appropriate co-alignment among governance, strategies and contexts significantly influences performance. The findings have significant implications for manufacturing firms’ channel strategies.

Originality/value
This study tests the influences of two distinct dimensions of inter-firm integration on inter-firm outcomes, which few previous studies address. It comprehensively examines the linkages among governance forms, strategic factors, environmental factors and performance.
Empowering leadership and trust on team learning behavior
Authors: Wibowo Amin , Hayati Neuneung Ratna 
Published: May 2019

PurposeThe purpose of this paper is to develop and test a model for the relationship between learning behavior in groups and empowerment leadership using trust among group members as a specific context factor that influences the relationship.Design/methodology/approachThis study uses a quantitative survey that involves 78 working groups from various types of teams and diverse business fields in Indonesia. Data analysis was carried out at the group level, and, for the hypothesis testing, hierarchical multiple regression analysis was used.FindingsThe empirical results of the testing show that empowerment leadership has a positive influence on learning behavior in groups, and trust among group members is proven to be a moderating variable that strengthens the influence of these variables.Research limitations/implicationsThe process of generalizing findings must be carried out carefully considering that the model testing carried out was in the context of specific groups and included the existence of common method bias risk.Originality/valueThis paper provides an understanding of the interaction between the presence of group leaders who have an empowerment leadership style and the existence of trust among group members that will encourage the emergence of learning behavior in groups. It contributes to the current literature by filling a gap from social information processing perspective. Individuals collectively will have attitudes and behavior based on information from coworkers while developing self-leadership that leads to sharing knowledge and sharing experience within the group.
The impact of source credible online reviews on purchase intention
Authors: Chakraborty Uttam 
Published: May 2019

Purpose
This study aims to highlight the importance of brand equity dimensions which act as a mediator between online reviews and consumer’s purchase intention. In particular, the present study tries to determine which the Aaker’s (1991) brand equity dimensions have the mediating roles between source credible online reviews and purchase intention.

Design/methodology/approach
Data were collected from select e-commerce site’s brand community on Facebook social media platform through Google form application. The present study first determines the reliability of the variables. To check the unidimensionality of the variables, exploratory factor analysis has been performed. This study makes use of structural equation modeling bootstrapping method to examine the mediating effects of brand equity dimensions between source credible online reviews and purchase intention.

Findings
Data analysis reveals that marketers should concentrate more on brand awareness and perceived value, which ultimately influence the purchase intention of the consumers.

Originality/value
This paper is one of the first that examines the mediating effects of consumer-based brand equity dimensions between source credible online reviews and consumer’s purchase intention. Further, the present study integrates source credibility theory and attribution theory to develop the research model.
The stock-bond nexus and investors’ behavior in mature and emerging markets
Authors: Selmi Refk , Gupta Rangan , Kollias Christos , Papadamou Stephanos 
Published: May 2019

PurposePortfolio construction and diversification is a prominent challenge for investors. It reflects market agents’ behavior and response to market conditions. This paper aims to investigate the stock-bond nexus in the case of two emerging and two mature markets, India, South Africa, the UK and the USA, using long-term historical monthly data.Design/methodology/approachTo address the issue at hand, copula quantile-on-quantile regression (C-QQR) is used to model the correlation structure. Although this technique is driven by copula-based quantile regression model, it retains more flexibility and delivers more robust and accurate estimates.FindingsResults suggest that there is substantial heterogeneity in the bond-stock returns correlation across the countries under study point to different investors’ behavior in the four markets examined. Additionally, the findings reported herein suggest that using C-QQR in portfolio management can enable the formation of tailored response strategies, adapted to the needs and preferences of investors and traders.Originality/valueTo the best of the authors’ knowledge, no previous study has addressed in a comparative setting the stock-bond nexus for the four countries used here using long-term historical data that cover the periods 1920:08-2017:02, 1910:01-2017:02, 1933:01-2017:02 and 1791:09-2017:02 for India, South Africa, the UK and the USA, respectively.
The burden of severe maternal outcomes and indicators of quality of maternal care in Nigerian hospitals: a secondary analysis comparing two large facility‐based surveys
Authors: Vogel JP , Fawole B , Adeniran AS , Adegbola O , Oladapo OT 
Published: May 2019

ObjectiveTo compare severe maternal outcomes (SMOs) from two multi‐centre surveys in Nigerian hospitals, and to evaluate how the SMO burden affects quality of secondary and tertiary hospital care.DesignTwo facility‐based surveys of women experiencing SMO (maternal near‐miss or maternal deaths).SettingSixteen secondary and five tertiary facilities in Nigeria [WHO Multi‐Country Survey on Maternal and Newborn Health (WHOMCS)] and 42 public tertiary facilities in Nigeria (Nigeria Near‐Miss and Maternal Death Survey).Population371 women in WHOMCS‐Nigeria and 2449 women in Nigeria Near‐Miss and Maternal Death Survey who experienced SMO.MethodsSecondary analysis and comparison of SMO data from two surveys, stratified by facility level.Main outcome measuresMaternal mortality ratio (MMR) per 100 000 livebirths (LB), maternal near‐miss (MNM) ratio per 1000 LB, SMO ratio per 1000 LB and mortality index (deaths/SMO).ResultsMaternal mortality ratio and mortality indices were highest in tertiary facilities of the WHOMCS‐Nigeria (706 per 100 000; 26.7%) and the Nigeria Near‐Miss and Maternal Death Survey (1088 per 100 000; 40.8%), and lower in secondary facilities of the WHOMCS‐Nigeria (593 per 100 000; 17.9%). The MNM ratio and SMO ratio were highest in secondary WHOMCS‐Nigeria facilities (27.2 per 1000 LB; 33.1 per 1000 LB).ConclusionsTertiary‐level facilities in Nigeria experience unacceptably high maternal mortality rates, but secondary‐level facilities had a proportionately higher burden of severe maternal outcomes. Common conditions with a high mortality index (postpartum haemorrhage, eclampsia, and infectious morbidities) should be prioritised for action. Surveillance using SMO indicators can guide quality improvement efforts and assess changes over time.Tweetable abstract2820 Nigerian women with severe maternal outcomes: high mortality in tertiary level hospitals, higher burden in secondary level.
Association of Hepcidin With Anemia Parameters in Incident Dialysis Patients: Differences Between Dialysis Modalities
Authors: Lim Jeong‐Hoon , Park Yeong Woo , Lee Sun Hee , Do Jun Young , Kim Sung‐Ho , Han Seungyeup , Jung Hee‐Yeon , Choi Ji‐Young , Cho Jang‐Hee , Kim Chan‐Duck , Park Sun‐Hee , Kim Yong‐Lim 
Published: May 2019

AbstractHepcidin's relationships with other variables are unclear. We evaluated associations of serum hepcidin with clinical parameters in ESRD patients. Ninety‐nine incident dialysis patients, including 57 on peritoneal dialysis (PD) and 42 on HD, were prospectively followed for 6 months. Serum hepcidin levels significantly increased during initial 6 months of dialysis. In the multivariate regression model, independent predictors of serum hepcidin levels in ESRD patients before maintenance dialysis were interleukin‐6, ferritin, phosphate, iron, and aspartate transaminase. Six months after initiating dialysis, serum hepcidin levels were independently predicted by ferritin, total iron binding capacity (TIBC), and aspartate transaminase in all patients, whereas by ferritin and TIBC in PD patients, and ferritin, TIBC, and 24‐h urine volume in HD patients. Serum hepcidin levels are differentially associated with anemia parameters in PD compared with HD patients. Urine volume was an independent predictor of hepcidin levels in early HD patients.