bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neurotensin receptor 2 is induced in astrocytes and brain endothelial cells in relation to status epilepticus and neuroinflammation following pilocarpine administration in rats
Authors: Grigorios Kyriatzis , Anne Bernard , Angélique Bôle , Guillaume Pflieger , Petros Chalas , Maxime Masse , Pascaline Lécorché , Guillaume Jacquot , Lotfi Ferhat , Michel Khrestchatisky 
Published: June 2020

ABSTRACTNeurotensin (NT) acts as a primary neurotransmitter and neuromodulator in the CNS and has been involved in a number of CNS pathologies including epilepsy. NT mediates its central and peripheral effects by interacting with the NTSR1, NTSR2 and NTSR3 receptor subtypes. To date, little is known about the precise expression of the NT receptors in brain neural cells and their regulation in pathology. In the present work, we studied expression of the NTSR2 protein in the rat hippocampus using a model of temporal lobe epilepsy induced by pilocarpine and questioned whether NTSR2 was modulated in conditions of neuro-inflammation. This model is characterized by a rapid and intense inflammatory reaction with a pattern of reactive gliosis in the hippocampus. We show that NTSR2 protein is expressed in hippocampal astrocytes and its expression increases together with astrocyte reactivity following induction of status epilepticus. NTSR2 immunoreactivity is also increased in perivascular astrocytes and their end-feet and is apparent in endothelial cells following induction of status epilepticus. Proinflammatory factors such as IL1β and LPS induced NTSR2 in astrocytes, but also in microgliain vitro. Glial NTSR2 expression showed characteristic immediate early gene response under inflammatory conditions. Treating inflamed glial cells with a vectorized NT analogue decreased NTSR2 expression as well as astrocytic and microglial reactivity. Together, these results suggest that NTSR2 is implicated in astroglial and gliovascular inflammation and that targeting the NTSR2 receptor may open new avenues in the regulation of neuroinflammation in CNS diseases.TABLE OF CONTENTS IMAGE
Identifying Modules of Cooperating Cancer Drivers
Authors: Klein Michael I. , Cannataro Vincent L. , Townsend Jeffrey P. , Newman Scott , Stern David F. , Zhao Hongyu 
Published: June 2020

AbstractIdentifying cooperating modules of driver alterations can provide biological insights to cancer causation and would advance the development of effective personalized treatments. We present Cancer Rule-Set Optimization (CRSO) for inferring the combinations of alterations that cooperate to drive tumor formation in individual patients. Application to 19 TCGA cancer types found a mean of 11 core driver combinations per cancer, comprising 2-6 alterations per combination, and accounting for a mean of 70% of samples per cancer. CRSO departs from methods based on statistical cooccurrence, which we demonstrate is a suboptimal criterion for investigating driver cooperation. CRSO identified well-studied driver combinations that were not detected by other approaches and nominated novel combinations that correlate with clinical outcomes in multiple cancer types. Novel synergies were identified inNRAS-mutant melanomas that may be therapeutically relevant. Core driver combinations involvingNFE2L2mutations were identified in four cancer types, supporting the therapeutic potential of NRF2 pathway inhibition. CRSO is available athttps://github.com/mikekleinsgit/CRSO/.
kTWAS: Integrating kernel-machine with transcriptome-wide association studies improves statistical power and reveals novel genes
Authors: Cao Chen , Kwok Devin , Edie Shannon , Li Qing , Ding Bowei , Kossinna Pathum , Campbell Simone , Wu Jingjing , Greenberg Matthew , Long Quan 
Published: June 2020

AbstractThe power of genotype-phenotype association mapping studies increases greatly when contributions from multiple variants in a focal region are meaningfully aggregated. Currently, there are two popular categories of variant aggregation methods. Transcriptome-wide association studies (TWAS) represent a category of emerging methods that select variants based on their effect on gene expressions, providing pretrained linear combinations of variants for downstream association mapping. In contrast, kernel methods such as SKAT model genotypic and phenotypic variance using various kernel functions that capture genetic similarity between subjects, allowing non-linear effects to be included. From the perspective of machine learning, these two methods cover two complementary aspects of feature engineering: feature selection/pruning, and feature modeling. Thus far, no thorough comparison has been made between these categories, and no methods exist which incorporate the advantages of TWAS and kernel-based methods. In this work we developed a novel method called kTWAS that applies TWAS-like feature selection to a SKAT-like kernel association test, combining the strengths of both approaches. Through extensive simulations, we demonstrate that kTWAS has higher power than TWAS and multiple SKAT-based protocols, and we identify novel disease-associated genes in WTCCC genotyping array data and MSSNG (Autism) sequence data. The source code for kTWAS and our simulations are available in our GitHub repository (https://github.com/theLongLab/kTWAS).
Wide field-of-view volumetric imaging by a mesoscopic scanning oblique plane microscopy with switchable objective lens
Authors: Shao Wenjun , Kilic Kivilcim , Yin Wenqing , Wirak Gregory , qin Xiaodan , Feng Hui , Boas David , Gabel Christopher V. , Yi Ji 
Published: June 2020

AbstractConventional light sheet fluorescence microscopy (LSFM), or selective plane illumination microscopy (SPIM), enables high resolution 3D imaging over a large volume by using two orthogonally aligned objective lenses to decouple excitation and emission. The recent development of oblique plane microscopy (OPM) simplifies LSFM design with only one single objective lens, by using off-axis excitation and remote focusing. However, most reports on OPM has a limited microscopic field of view (FOV), typically within 1×1 mm2. Our goal is to overcome the limitation with a new variant of OPM to achieve mesoscopic FOV. We implemented an optical design of mesoscopic scanning OPM to allow using low numerical aperture (NA) objective lens. The angle of the intermediate image before the remote focusing system was increased by a demagnification under Scheimpflug condition such that the light collecting efficiency in the remote focusing system was significantly improved. We characterized the 3D resolutions and FOV by imaging fluorescence microspheres, and demonstrated the volumetric imaging on intact whole zebrafish larvae, mouse cortex, and multipleCaenorhabditis elegans (C.elegans). We demonstrate a mesoscopic FOV up to ~6× 5×0.6 mm3volumetric imaging, the largest reported FOV by OPM so far. The angle of the intermediate image plane is independent of the magnification. As a result, the system is highly versatile, allowing simple switching between different objective lenses with low (10x, NA 0.3) and median NA (20x, NA 0.5). Detailed microvasculature in zebrafish larvae, mouse cortex, and neurons inC. elegansare clearly visualized in 3D. The proposed mesoscopic scanning OPM allows using low NA objective such that centimeter-level FOV volumetric imaging can be achieved. With the extended FOV, simple sample mounting protocol, and the versatility of changeable FOVs/resolutions, our system will be ready for the varieties of applications requiringin vivovolumetric imaging over large length scales.
The Prevalence of ocular manifestations and ocular samples polymerase chain reaction positivity in patients with COVID 19 - a systematic review and meta-analysis
Authors: Sadhu Soumen , Dandapani Sushmitha Arcot , Mazumdar Deepmala , Srinivasan Sangeetha , Biswas Jyotirmay 
Published: June 2020

AbstractObjectiveTo estimate the prevalence of ocular manifestations and ocular samples polymerase chain reaction (PCR) positivity among COVID-19 patients.MethodsA systematic literature review was performed using search engines (PubMed, Google Scholar, Medrixv and BioRixv) with keywords “SARS-CoV-2”, “novel coronavirus”, “COVID-19”, “ocular manifestations”, “conjunctival congestion”, “Ocular detection”, “Polymerase chain reaction”, and “conjunctivitis”. The measure of heterogeneity was evaluated with the I2statistic. The pooled proportion of patients presenting with symptoms and ocular samples PCR positivity was estimated.ResultsA total of 20 studies (14 studies and 6 case-reports) were included in the systematic review and 14 studies were included in the meta-analysis. The pooled prevalence of conjunctivitis was 5.17% (95% CI: 2.90-8.04). Conjunctivitis was reported as an initial symptom of the disease in 0.858 % (95% CI: 0.31-1.67). Common associated features include itching, chemosis, epiphora. Seven patients (29 %) with conjunctivitis showed positive results in ocular samples, whereas 13 patients (54%) showed positive only in theirnasopharyngeal samples (NPs) orsputum samples and 4 patients (16 %) were negative for both NPs and Sputum as well as ocular samples. The pooled prevalence of ocular PCR positivity was 2.90 % (95% CI: 1.77 – 4.46) vs. NPs 89.8% (95% CI: 78.80-79.0).ConclusionThe prevalence of conjunctivitis and ocular samples PCR positivity among COVID-19 patients was low indicating that the eye is a less affected organ. However, conjunctivitis may present as the first symptom of the disease making the patient seek medical care at the earliest.SynopsisViral conjunctivitis was the only symptom reported. The prevalence of conjunctivitis and ocular samples polymerase chain reaction positivity among COVID-19 patients was low indicating the eye is a less effected organ.
Continuous improvement of the industrialised housebuilding order fulfilment process
Authors: Grenzfurtner Wolfgang , Gronalt Manfred 
Published: June 2020

Purpose
A deeper understanding of what needs to be considered to improve the targeted incorporation of employees’ knowledge into continuous improvement (CI) programmes in industrialised housebuilding (IHB) is required. This paper aims to address the current lack of involvement and connect it to structural and corporate culture factors. To avoid misjudgements in improvement activities as well as to use the full potential of performance improvement ideas, CI tools and measures need to be adapted to facilitate this integration. Relevant factors are analysed and their influences on CI measures are assessed.

Design/methodology/approach
The research approach is built upon an explorative case study supported by a comprehensive literature review. Empirical data were collected through participant observation, guided interviews and company documents.

Findings
The influences on employee involvement within CI programmes and the corresponding suitability of important CI measures were evaluated on a set of relevant factors. These factors include unique building projects, project-based focus on order fulfilment, fragmented order fulfilment process, separation of order fulfilment activities in terms of space and time, procedural rules for dealing with on-site failures, short-term contracts with subcontractors and the practice of evaluating and monitoring performance on site.

Research limitations/implications
The research paves the way for the development of suitable tools, measures and methods to effectively involve employees from all profession within a CI programme in IHB. The empirical part of this research is based on a single case study.

Originality/value
This work extends the body of knowledge of CI application in the construction industry with an analysis of factors influencing its implementation and management.
Wideband performance limitations of the C-FDTD in the discretization impoverishment of a curved surface
Authors: Fortes Lucas Lobo Latorre , Gonçalves Sandro Trindade Mordente 
Published: June 2020

Purpose
This paper aims to explore the limitations of the conformal finite difference time-domain method (C-FDTD or Dey–Mittra) when modeling perfect electric conducting (PEC) and lossless dielectric curved surfaces in coarse meshes. The C-FDTD is a widely known approach to reduce error of curved surfaces in the FDTD method. However, its performance limitations are not broadly described in the literature, which are explored as a novelty in this paper.

Design/methodology/approach
This paper explores the C-FDTD method applied on field scattering simulations of two curved surfaces, a dielectric and a PEC sphere, through the frequency range from 0.8 to 10 GHz. For each sphere, the mesh was progressively impoverished to evaluate the accuracy drop and performance limitations of the C-FDTD with the mesh impoverishment, along with the wideband frequency range described.

Findings
This paper shows and quantifies the C-FDTD method’s accuracy drops as the mesh is impoverished, reducing C-FDTD’s performance. It is also shown how the performance drops differently according to the frequency of interest.

Practical implications
With this study, coarse meshes, with smaller execution time and reduced memory usage, can be further explored reliably accounting the desired accuracy, enabling a better trade-off between accuracy and computational effort.

Originality/value
This paper quantifies the limitations of the C-FDTD in coarse meshes in a wideband manner, which brings a broader and newer insight upon C-FDTD’s limitations in coarse meshes or relatively small objects in electromagnetic simulation.
Parameter identification of solar cells and fuel cell using improved social spider algorithm
Authors: Kashefi Hadi , Sadegheih Ahmad , Mostafaeipour Ali , Mohammadpour Omran Mohammad 
Published: June 2020

Purpose
To design, control and evaluate photovoltaic (PV) systems, an accurate model is required. Accuracy of PV models depends on model parameters. This study aims to use a new algorithm called improved social spider algorithm (ISSA) to detect model parameters.

Design/methodology/approach
To improve performance of social spider algorithm (SSA), an elimination period is added. In addition, at the beginning of each period, a certain number of the worst solutions are replaced by new solutions in the search space. This allows the particles to find new paths to get the best solution.

Findings
In this paper, ISSA is used to estimate parameters of single-diode and double-diode models. In addition, effect of irradiation and temperature on I–V curves of PV modules is studied. For this purpose, two different modules called multi-crystalline (KC200GT) module and polycrystalline (SW255) are used. It should be noted that to challenge the performance of the proposed algorithm, it has been used to identify the parameters of a type of widely used module of fuel cell called proton exchange membrane fuel cell. Finally, comparing and analyzing of ISSA results with other similar methods shows the superiority of the presented method.

Originality/value
Changes in the spider’s movement process in the SSA toward the desired response have improved the algorithm’s performance. Higher accuracy and convergence rate, skipping local minimums, global search ability and search in a limited space can be mentioned as some advantages of this modified method compared to classic SSA.
The relative decision-making algorithm for ranking data
Authors: Chen Yin-Ju , Lo Jian-Ming 
Published: June 2020

PurposeDecision-making is always an issue that managers have to deal with. Keenly observing to different preferences of the targets provides useful information for decision-makers who do not require too much information to make decisions. The main purpose is to avoid decision-makers in a dilemma because of too much or opaque information. Based on problem-oriented, this research aims to help decision-makers to develop a macro-vision strategy that fits the needs of different clusters of customers in terms of their favorite restaurants. This research also focuses on providing the rules to rank data sets for decision-makers to make choices for their favorite restaurant.Design/methodology/approachWhen the decision-makers need to rethink a new strategic planning, they have to think about whether they want to retain or rebuild their relationship with the old consumers or continue to care for new customers. Furthermore, many of the lecturers show that the relative concept will be more effective than the absolute one. Therefore, based on rough set theory, this research proposes an algorithm of related concepts and sends questionnaires to verify the efficiency of the algorithm.FindingsBy feeding the relative order of calculating the ranking rules, we find that it will be more efficient to deal with the faced problems.Originality/valueThe algorithm proposed in this research is applied to the ranking data of food. This research proves that the algorithm is practical and has the potential to reveal important patterns in the data set.
Workforce education diversity, work organization and innovation propensity
Authors: Bello-Pintado Alejandro , Bianchi Carlos 
Published: June 2020

PurposeDiversity of people, knowledge and resources has been identified as a determinant of firms' growth. This paper focusses on innovation propensity as a critical dimension of firm's growth path, aiming to analyse the effects of the firm's horizontal educational diversity (HED) on the propensity to conduct different technological innovation activities (TIAs). In addition, considering the evidence showing that these effects are neither direct nor linear, the authors analyse the moderating role of the firm's organizational practices oriented to knowledge sharing (KS) on the association between HED and the adoption of TIAs.Design/methodology/approachFollowing the theoretical arguments of the resource-based view (RBV), the evolutionary economics and the dynamic capabilities approach and related empirical evidences, the authors proposed four hypotheses regarding the effect of HED on TIAs and the moderating role of work organization practices oriented to promote KS. Empirically, the authors calculated different HED diversity indexes capturing two basic dimensions: variety and balance. Hence, using instrumental variables and panel data techniques to control endogeneity biases, the authors tested the proposed hypotheses using a data set of Uruguayan manufacturing firms between 2004 and 2015.FindingsIn line with previous evidence, results showed idiosyncratic context effects. The authors found a robust, linear, positive and significant relationship between HED and TIAs, but the effect can only be consistently associated with the adoption of internal or external research and development (R&D) activities. Moreover, the moderating role of work organization practices oriented to promote KS is positive and significant when firms engage in TIAs. For technological innovations that only involve the acquisiton of technology (AT), a positive effect is also observed but always associated to organizational practices oriented to promote KS.Originality/valueThis paper revisits the analysis of workforce diversity for a relatively less explored context. This research contributes to the field by linking HED and work organization practices to understand firm's innovation propensity in a developing context. Moreover, while other studies have focussed only on top management or R&D team diversity, the authors have analysed the whole professional's workforce. It allows the authors to discuss the effects of diversity on innovation propensity in the light of the ongoing debate on the effects of innovation in employment.
Exploring the effects of habit strength on scholarly publishing
Authors: Moksness Lars , Olsen Svein Ottar , Tuu Ho Huy 
Published: June 2020

PurposeThis study aims to explore the role of habit strength in explaining intention and open access (OA) and non-OA scholarly publishing.Design/methodology/approachA decomposed theory of planned behaviour (TPB) is used as the conceptual framework to investigate a sample of 1,588 researchers from the major universities in Norway. Different latent construct models are analysed with a structural equation modelling approach.FindingsThe results show that the effect of habit was non-significant in an extended TPB framework where attitude was most important, followed by norms and perceived behavioural control in explaining intention to submit OA. Habit was only found to have a significant impact on intention to submit OA when it played a role as a full mediator for the effects of the intentional antecedents. In this modified model, norms were found to have a stronger effect than attitudes in explaining the habit to submit OA. OA habit strength forms intentions to publish in OA journals and reduces the intention to publish and publishing behaviour in NOA journals.Research limitations/implicationsOther individual forces (e.g. personality and personal values) and the role of habit strength should be included for future research.Practical implicationsThe results provide empirical insights to management, policy makers and research on scholarly publishing.Originality/valueThis paper contributes not only to the understanding of OA scholarly publishing, but is also relevant for research on what drives (academic) data sharing, knowledge sharing, the sharing economy or the open source movement.
Professional artefacts: evaluating creative outcomes for work-based inquiry
Authors: Nottingham Paula McIver 
Published: June 2020

PurposeThis paper aims to explore graduate perspectives about the creation and use of professional artefacts to communicate work-based inquiry projects to professional audiences.Design/methodology/approachThe study was based on constructivist qualitative interviews with 14 graduates from a part-time professional practice in arts programme and used thematic analysis to interpret and discuss the findings.FindingsParticipants indicated a perceived value in the use of the professional artefact as a way of articulating their professional inquiry. Professional artefacts enable essential communication skills for professional contexts, have the capacity for engaging with professional audiences that are external to the university, have the potential for enabling further study and workplace employability, show awareness of project management and leadership capabilities and helped some individuals build on and share their own personal philosophy of practice with peer professionals.Research limitations/implicationsAs a small-scale research project that used purposive sampling, the findings are not representative, but could provide the creative means to develop professional artefacts within work-related educational programmes and workplace learning programmes.Practical implicationsIt is argued that the process and production of professional artefacts can provide the means for communicating work-based projects to professional audiences within workplace settings.Originality/valueProfessional artefacts explore and present developmental aspects of work-based inquiries with distinctive creative approaches to favour practice knowledge and innovation that can be expressively shared with peer professionals.