bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic colocalization atlas points to common regulatory sites and genes for hematopoietic traits and hematopoietic contributions to disease phenotypes
Authors: Thom CS , Voight BF 
Published: October 2019

AbstractBackgroundGenetic associations link hematopoietic traits and disease end-points, but most causal variants and genes underlying these relationships are unknown. Here, we used genetic colocalization to nominate loci and genes related to shared genetic signal for hematopoietic, cardiovascular, autoimmune, neuropsychiatric and cancer phenotypes.ResultsOur findings recapitulate developmental hematopoietic lineage relationships, identify loci associating traits with causal genetic relationships, and reveal novel associations. Out of 2706 loci with genome-wide significant signal for at least 1 blood trait, we identified 1779 unique sites (66%) with shared genetic signal for 2+ hematologic traits at a false discovery rate <5%. We could assign some sites to specific developmental cell types during hematopoiesis based on affected traits, including those likely to impact hematopoietic progenitor cells and/or megakaryocyte-erythroid progenitor cells. Through an expanded analysis of 70 human traits, we define 2+ colocalizing traits at 2007 loci from an analysis of 9852 sites (20%) containing genome-wide significant signal for at least 1 GWAS trait. In addition to variants and genes underlying shared genetic signal between blood traits and disease phenotypes that had been previously related through mendelian randomization studies, we define loci and related genes underlying shared signal between eosinophil count and eczema. We also identified colocalizing signals in a number of clinically relevant coding mutations, including in sites linkingPTPN22with Crohns disease,NIPAwith coronary artery disease and platelet trait variation, and the hemochromatosis geneHFEwith altered lipid levels. Finally, we anticipate potential off-target effects on blood traits related novel therapeutic targets, includingTRAIL.ConclusionsOur findings provide a road map for gene validation experiments and novel therapeutics related to hematopoietic development, and offer a rationale for pleiotropic interactions between hematopoietic loci and disease end-points.
STAG2 cohesin is essential for heart morphogenesis
Authors: De Koninck M. , Lapi E. , Badia-Careaga C. , Cossio I. , Giménez-Llorente D. , Rodríguez-Corsino M. , Andrada E. , Hidalgo A. , Manzanares M. , Real F. X. , Losada A. 
Published: October 2019

AbstractThe distinct functions of cohesin complexes carrying STAG1 or STAG2 need to be unraveled. STAG2 is commonly mutated in cancer and germline mutations have been identified in cohesinopathy patients. To better understand the underlying pathogenic mechanisms, we here report the consequence of Stag2 ablation in mice. STAG2 is largely dispensable in adults and its tissue-wide inactivation does not lead to tumors but reduces fitness and affects both hematopoiesis and intestinal homeostasis. STAG2 is also dispensable for murine embryonic fibroblasts in vitro. In contrast, null embryos die by mid gestation showing global developmental delay and heart defects. Histopathological analysis and RNA-sequencing unveiled that STAG2 is required both for proliferation and regulation of cardiac transcriptional programs and in its absence, secondary heart field progenitors fail to enter the heart tube. These results provide compelling evidence on cell- and tissue-specific roles of the two cohesin complexes and how their dysfunction contributes to disease.
An end-to-end learning method for industrial defect detection
Authors: Wu Yupei , Guo Di , Liu Huaping , Huang Yao 
Published: October 2019

PurposeAutomatic defect detection is a fundamental and vital topic in the research field of industrial intelligence. In this work, the authors develop a more flexible deep learning method for the industrial defect detection.Design/methodology/approachThe authors propose a unified framework for detecting defects in industrial products or planar surfaces based on an end-to-end learning strategy. A lightweight deep learning architecture for blade defect detection is specifically demonstrated. In addition, a blade defect data set is collected with the dual-arm image collection system.FindingsNumerous experiments are conducted on the collected data set, and experimental results demonstrate that the proposed system can achieve satisfactory performance over other methods. Furthermore, the data equalization operation helps for a better defect detection result.Originality/valueAn end-to-end learning framework is established for defect detection. Although the adopted fully convolutional network has been extensively used for semantic segmentation in images, to the best knowledge of the authors, it has not been used for industrial defect detection. To remedy the difficulties of blade defect detection which has been analyzed above, the authors develop a new network architecture which integrates the residue learning to perform the efficient defect detection. A dual-arm data collection platform is constructed and extensive experimental validation are conducted.
Confidence interval prediction of ANN estimated LPT parameters
Authors: Yildirim Mustagime Tülin , Kurt Bülent 
Published: October 2019

Purpose
With the condition monitoring system on airplanes, failures can be predicted before they occur. Performance deterioration of aircraft engines is monitored by parameters such as fuel flow, exhaust gas temperature, engine fan speeds, vibration, oil pressure and oil temperature. The vibration parameter allows us to easily detect any existing or possible faults. The purpose of this paper is to develop a new model to estimate the low pressure turbine (LPT) vibration parameter of an aircraft engine by using the data of an aircraft’s actual flight from flight data recorder (FDR).

Design/methodology/approach
First, statistical regression analysis is used to determine the parameters related to LPT. Then, the selected parameters were applied as an input to the developed Levenberg–Marquardt feedforward neural network and the output LPT vibration parameter was estimated with a small error. Analyses were performed on MATLAB and SPSS Statistics 22 package program. Finally, the confidence interval method is used to check the accuracy of the estimated results of artificial neural networks (ANNs).

Findings
This study shows that the health conditions of an aircraft engine can be evaluated in terms of this paper by using confidence interval prediction of ANN-estimated LPT vibration parameters without dismantling and expert knowledge.

Practical implications
With this study, it has been shown that faults that may occur during flight can be easily detected using the data of a flight without expert evaluation.

Originality/value
The health condition of the turbofan engine was evaluated using the confidence interval prediction of ANN-estimated LPT vibration parameters.
Which Google keywords influence entrepreneurs? Empirical evidence from Vietnam
Authors: Huynh Toan Luu Duc 
Published: October 2019

Purpose
This paper aims to shed light on an impact of Google keywords on the number of new businesses (and an amount of capital registered) in Vietnam, the Southeast Asian country, after the year of an entrepreneur, 2016.

Design/methodology/approach
This study uses a rich set of quantitative techniques from VAR Granger and threshold regression. The whole sample period covers the data (keywords, number of new businesses, an amount of capital invested to register) from the first week of 2016 to October 2018, which includes 144 observations in total.

Findings
The findings suggest that the relationship between Google does not persist in the long run. There is a short-run shock, might cause a change to the frequency of the other keywords rather than the number of firms (or an amount of capital). However, under the number of firms’ threshold, keywords have the both positive and negative impacts on entrepreneurs whereas a higher threshold of capital, keywords show their roles to predict an amount of money for registering firms.

Practical implications
The Vietnamese Government and executives are advised to consider the Google keywords “entrepreneur” (in Vietnamese) and “start-up”, which cause a decline in entrepreneurial movements. In addition, the current period is going to inverse from the previous one in terms of the number of firms and an amount of capital. Finally, there are two critical thresholds: 1,602 companies and 35,010m VND for the keywords' influence.

Originality/value
This study contributes empirical evidence of technological change and entrepreneurship and contributes to the existing literature by discussing how this relationship under the threshold.
The role of audit quality on market consequences of voluntary disclosure
Authors: Wardhani Ratna 
Published: October 2019

Purpose
The purpose of this paper is to investigate the role of the auditor in enhancing the market consequences of voluntary disclosure in East Asian countries that have different reporting environments. This study also investigates the effect of quality of the reporting environment on the role of the auditor in enhancing market consequences of voluntary disclosure.

Design/methodology/approach
The methodology used in this research is multiple regressions using the least square method. This research uses East Asian countries context that covers India, Indonesia, Japan, Malaysia, the Philippines, Singapore and Thailand with cross-sectional data during 2016. This research uses four measurements of market consequences, namely, cumulative abnormal return (CAR), volatility of return, bid-ask spread and trading volume.

Findings
The results show that voluntary disclosure gives positive consequences to the capital market by increasing the CAR, volatility of return and average trading volume, and decreasing asymmetric information. The results also show that auditor plays a significant role in increasing the credibility of voluntary disclosure by increasing the market consequences of disclosure. The role of the auditor in increasing the effect of voluntary disclosure is higher in a country that adopts international best practice in financial reporting.

Research limitations/implications
The findings of this study need to be interpreted with caution due to several limitations. Although the measurement of voluntary disclosure used in this study is relatively more complete compared to previous research, there are still much voluntary information disclosed that are not included in the checklist. Moreover, this study only considers voluntary disclosure in the annual report. Therefore, future studies can develop a more comprehensive measurement of voluntary disclosure and use sources of information beyond the annual report.

Practical implications
This study shows that in a reporting environment that is less transparent as in the conditions of countries in East Asia, voluntary disclosure and the role of the auditor in increasing value of voluntary disclosure for market participants is crucial. Companies need to increase their voluntary disclosures as they become additional provisions in improving the reporting environment and consider the result of this study when choosing the auditor. Second, audit quality is more important in increasing the credibility of voluntary disclosure in countries that adopt international best practices in financial reporting. The result of this study implies that audit quality is a complementary mechanism of the reporting environment.

Originality/value
This study expands the literature of the role of the auditor on the market consequences of voluntary disclosures and explores the role of the auditor in different reporting environment across countries in East Asia. This study shows that auditor increases the credibility of voluntary disclosure in the different context of accounting and auditing practices.
Toward robotic process automation implementation: an end-to-end perspective
Authors: Santos Filipa , Pereira Rúben , Vasconcelos José Braga 
Published: October 2019

Purpose
Robotic process automation (RPA) seeks to automate business processes, using software robots that interact with systems through their user interface, improving efficiency and reducing costs. However, some critical steps, such as identifying processes suitable for RPA automation, can have a tremendous impact in organizations if a wrong process is selected. Therefore, the purpose of this paper is to provide an approach for analyzing RPA development in business organizations.

Design/methodology/approach
This research presents a cohesive literature review about RPA, in order to identify RPA main concepts, which should be reported and considered in all RPA case studies. A model connecting the main elicited RPA concepts is presented as well as its evaluation and applicability grounded of past RPA case study (CS) analysis, using design science research.

Findings
The results from this research show that most of the RPA main concepts gathered in the literature review are not reported in the selected RPA CSs.

Originality/value
As RPA is a recent topic, literature lacks a synthetization of RPA main topics. This research aims to fill the gap on that, by identifying and synthesize the main topics related to RPA and proposing a model that connects the main RPA concepts, which can be used by researchers as a schema for conducting and writing RPA case studies.
Expedited optimization of antenna input characteristics with adaptive Broyden updates
Authors: Koziel Slawomir , Pietrenko-Dabrowska Anna 
Published: October 2019

Purpose
A technique for accelerated design optimization of antenna input characteristics is developed and comprehensively validated using real-world wideband antenna structures. Comparative study using a conventional trust-region algorithm is provided. Investigations of the effects of the algorithm control parameters are also carried out.

Design/methodology/approach
An optimization methodology is introduced that replaces finite differentiation (FD) by a combination of FD and selectively used Broyden updating formula for antenna response Jacobian estimations. The updating formula is used for directions that are sufficiently well aligned with the design relocation that occurred in the most recent algorithm iteration. This allows for a significant reduction of the number of full-wave electromagnetic simulations necessary for the algorithm to converge; hence, it leads to the reduction of the overall design cost.

Findings
Incorporation of the updating formulas into the Jacobian estimation process in a selective manner considerably reduces the computational cost of the optimization process without compromising the design quality. The algorithm proposed in the study can be used to speed up direct optimization of the antenna structures as well as surrogate-assisted procedures involving variable-fidelity models.

Research limitations/implications
This study sets a direction for further studies on accelerating procedures for the local optimization of antenna structures. Further investigations on the effects of the control parameters on the algorithm performance are necessary along with the development of means to automate the algorithm setup for a particular antenna structure, especially from the point of view of the search space dimensionality.

Originality/value
The proposed algorithm proved useful for a reduced-cost optimization of antennas and has been demonstrated to outperform conventional algorithms. To the authors’ knowledge, this is one of the first attempts to address the problem in this manner. In particular, it goes beyond traditional approaches, especially by combining various sensitivity estimation update measures in an adaptive fashion.
Static analysis of carbon nanotube-reinforced FG shells using an efficient solid-shell element with parabolic transverse shear strain
Authors: Hajlaoui Abdessalem , Chebbi Elouni , Wali Mondher , Dammak Fakhreddine 
Published: October 2019

Purpose
This paper aims to study the static behavior of carbon nanotubes (CNTs) reinforced functionally graded shells using an efficient solid-shell element with parabolic transverse shear strain. Four different types of reinforcement along the thickness are considered.

Design/methodology/approach
Furthermore, the developed solid-shell element allows an efficient and accurate analysis of CNT-reinforced functionally graded shells under linear static conditions.

Findings
The validity and accuracy of the developed solid-shell element are illustrated through the solution of deflection and stress distribution problems of shell structures taken from the literature. The influences of some geometrical and material parameters on the static behavior of shell structures are discussed.

Originality/value
The finite element formulation is based on a modified first-order enhanced solid-shell element formulation with an imposed parabolic shear strain distribution through the shell thickness in the compatible strain part. This formulation guarantees a zero transverse shear stress on the top and bottom surfaces of the shell and the shear correction factors is no longer needed.
What debt threshold hampers economic growth in Africa?
Authors: Mensah Lord , Allotey Divine , Sarpong-Kumankoma Emmanuel , Coffie William 
Published: October 2019

PurposeThis paper aims to test whether a debt threshold of public debt has any effect on economic growth in Africa.Design/methodology/approachThe authors applied the panel autoregressive distributed models on 38 African countries with annual data from 1970 to 2015. It was established that the threshold and the trajectory of debt has an impact on economic growth.FindingsSpecifically, the authors found that public debt hampers economic growth when the depth is in the region of 20 to 80 per cent of GDP. Based on debt trajectory, this study established that increasing public debt beyond 50 to 80 per cent of GDP adversely affects economic growth in Africa. The study also finds that the persistent rise in debt also has adverse effect on economic growth in the African countries in the sample. It must be known to policymakers that the threshold of debt in developing countries, and for that matter African countries, are less than that of developed countries.Practical implicationsThis study suggests threshold effects between 20 and 50 per cent; this should be a guide for policymakers in the accumulation of debt stock. Interestingly, the findings suggest some debt trajectory effect, which policymakers might consider by increasing efforts to reduce debt levels when they fall between 50 to 80 per cent of GDP. This implies that reducing such debt levels can help African countries increase their economic growth.Originality/valueThe study is unique because it seeks to add new evidence on the relationship between public debt and growth in the African region, by considering the impact of the persistent growth of public debt on economic growth.
School competition in Hong Kong: a battle of lifting school academic performance?
Authors: Chun Sing Ho Maxwell , Lu Jiafang 
Published: October 2019

Purpose
Under-examination of the notion of competition between schools has created a considerable asymmetry between the reality and the literature of schooling. Therefore, the purpose of this paper is to investigate the validity of school competition and verify the propositions regarding the effects of school marketing practices in literature, particularly Direct Subsidy Scheme (DSS) and aided schools in Hong Kong.

Design/methodology/approach
It tests the relationships between student intake and school academic performance and school marketing practices. It also compares the pattern of the relationships between the DSS and aided secondary schools. Secondary data from 441 secondary schools were retrieved from a popular secondary school admission magazine in Hong Kong and from the schools’ websites.

Findings
Hierarchical regression analysis revealed that the school’s academic performance was positively related to discretionary student intake. In addition, marketing school academic performance, but not marketing school features, was positively related to student intake. At last, it was found that marketing school academic performance intensified the relationship between the school’s academic performance and student intake in aided schools but not in DSS schools. The results were interpreted as demonstrating that school competition in Hong Kong is a battle of lifting academic performance.

Originality/value
This study is potential and worthwhile in at least two ways. First, testing the relationships of student intake with academic performance and school marketing practices helps to verify the notion of school competition in the education sector, which, in turn, can bridge the gap between the practice and literature of schooling. Second, examining school competition in Hong Kong can help to identify an important contextual reality for future scholars whose research site is located in Hong Kong.
Attributes valued by students in higher education services: a lean perspective
Authors: Petrusch Anete , Vaccaro Guilherme Luís Roehe 
Published: October 2019

Purpose
The purpose of this paper is to use theoretical and field evidence to discuss what the value-attributes for academic-administrative services as perceived by students in higher education institutions (HEIs) and how such organizations deliver them. An emerging framework relating value-attributes for HEIs’ administrative and academic services is presented from the perspective of students.

Design/methodology/approach
Focus group analysis with Brazilian HEI’s students supported this study. Extensive theoretical references from lean services and services theory contribute to building an emerging framework that extends the background on the subject.

Findings
The following framework of eight value-attributes for administrative services in HEIs were studied: reliability, empathy, access, responsiveness, self-service technology convenience, communication, personalization and imperceptibility. The value-attributes may receive different degrees of prioritization and improvement effort according to the type of service and strategic positioning of the organization.

Research limitations/implications
Field evidence is limited by the extent of students and organizations accessed. Implications include directing future research to produce a quantitatively validated model and as an emerging framework, to support decision-planning in the context of HEIs.

Originality/value
The study extends the literature relating the connection between lean services, services theory and higher education services. No similar study has been found in Brazilian HEIs.