bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanism of manganese dysregulation of dopamine neuronal activity
Authors: Lin Min , Colon-Perez Luis M. , Sambo Danielle O. , Miller Douglas R. , Lebowitz Joseph J. , Jimenez-Rondan Felix , Cousins Robert J. , Horenstein Nicole , Aydemir Tolunay Beker , Febo Marcelo , Khoshbouei Habibeh 
Published: October 2019

AbstractManganese exposure produces Parkinson’s-like neurological symptoms, suggesting a selective dysregulation of dopamine transmission. It is unknown, however, how manganese accumulates in dopaminergic brain regions or how it regulates the activity of dopamine neurons. Ourin vivostudies suggest manganese accumulates in dopamine neurons of the ventral tegmental area and substantia nigra via nifedipine-sensitive Ca2+channels. Manganese produces a Ca2+channel-mediated current which increases neurotransmitter release and rhythmic firing activity of dopamine neurons. These increases are prevented by blockade of Ca2+channels and depend on downstream recruitment of Ca2+-activated potassium channels to the plasma membrane. These findings demonstrate the mechanism of manganese-induced dysfunction of dopamine neurons, and reveal a potential therapeutic target to attenuate manganese-induced impairment of dopamine transmission.Significance StatementManganese is a trace element critical to many physiological processes. Overexposure to manganese is an environmental risk factor for neurological disorders such as a Parkinson’s disease-like syndrome known as manganism. We found manganese dose-dependently increased the excitability of dopamine neurons, decreased the amplitude of action potentials, and narrowed action potential width. Blockade of Ca2+channels prevented these effects as well as manganese accumulation in the mouse midbrainin vivo. Our data provide a potential mechanism for manganese-regulation of dopaminergic neurons.
A strategy to incorporate prior knowledge into correlation network cutoff selection
Authors: Benedetti Elisa , Pučić-Baković Maja , Keser Toma , Gerstner Nathalie , Büyüközkan Mustafa , Štambuk Tamara , Selman Maurice H.J. , Rudan Igor , Polašek Ozren , Hayward Caroline , Al-Amin Hassen , Suhre Karsten , Kastenmüller Gabi , Lauc Gordan , Krumsiek Jan 
Published: October 2019

AbstractCorrelation networks are commonly used to statistically extract biological interactions between omics markers. Network edge selection is typically based on the significance of the underlying correlation coefficients. A statistical cutoff, however, is not guaranteed to capture biological reality, and heavily depends on dataset properties such as sample size. We here propose an alternative, innovative approach to address the problem of network reconstruction. Specifically, we developed a cutoff selection algorithm that maximizes the agreement to a given ground truth. We first evaluate the approach on IgG glycomics data, for which the biochemical pathway is known and well-characterized. The optimal network outperforms networks obtained with statistical cutoffs and is robust with respect to sample size. Importantly, we can show that even in the case of incomplete or incorrect prior knowledge, the optimal network is close to the true optimum. We then demonstrate the generalizability of the approach on an untargeted metabolomics and a transcriptomics dataset from The Cancer Genome Atlas (TCGA). For the transcriptomics case, we demonstrate that the optimized network is superior to statistical networks in systematically retrieving interactions that were not included in the biological reference used for the optimization. Overall, this paper shows that using prior information for correlation network inference is superior to using regular statistical cutoffs, even if the prior information is incomplete or partially inaccurate.
Government spending multipliers over business cycle
Authors: Nuru Naser Yenus 
Published: October 2019

PurposeThe purpose of this paper is to show the asymmetric effects of government spending shocks for South Africa over the period 1960Q1–2014Q2.Design/methodology/approachA threshold vector autoregressive model that allows parameters to switch according to whether a threshold variable crosses an estimated threshold is employed to address the objective of this paper. The threshold value is determined endogenously using Hansen (1996) test. Generalized impulse responses introduced by Koopet al.(1996) are used to study the effects of government spending shocks on growth depending on their size, sign and timing with respect to the economic cycle. The author also uses a Cholesky decomposition identification scheme in order to identify discretionary government spending shocks in the non-linear model.FindingsThe empirical findings support the state-dependent effects of fiscal policy. In particular, the effects of 1 or 2 standard deviations expansionary or contractionary government spending shock on output are very small both on impact and in the long run; and a bit larger in downturns but has only a very limited effect or no effect in times of expansion. This result gives support to the evidence in the recent literature that fiscal policy in developing countries is overwhelmingly procyclical.Originality/valueIt adds to the scarce empirical fiscal literature of the South African economy in particular and developing economies in general by allowing non-linearities to estimate the effect of government spending shocks over economic cycle.
Parallel algorithms for moving boundary problems by local remeshing
Authors: He Lisha , Zheng Jianjing , Zheng Yao , Chen Jianjun , Zhou Xuan , Xiao Zhoufang 
Published: October 2019

Purpose
The purpose of this paper is to develop parallel algorithms for moving boundary simulations by local remeshing and compose them to a fully parallel simulation cycle for the solution of problems with engineering interests.

Design/methodology/approach
The moving boundary problems are solved by unsteady flow computations coupled with six-degrees-of-freedom equations of rigid body motion. Parallel algorithms are developed for both computational fluid dynamics (CFD) solution and grid deformation steps. Meanwhile, a novel approach is developed for the parallelization of the local remeshing step. It inputs a distributed mesh after deformation, then marks low-quality elements to be deleted on the respective processors. After that, a parallel domain decomposition approach is used to repartition the hole mesh and then to redistribute the resulting sub-meshes onto all available processors. Then remesh individual sub-holes in parallel. Finally, the element redistribution is rebalanced.

Findings
If the CFD solver is parallelized while the remaining steps are executed in sequential, the performance bottleneck of such a simulation cycle is observed when the simulation of large-scale problem is executed. The developed parallel simulation cycle, in which all of time-consuming steps have been efficiently parallelized, could overcome these bottlenecks, in terms of both memory consumption and computing efficiency.

Originality/value
A fully parallel approach for moving boundary simulations by local remeshing is developed to solve large-scale problems. In the algorithm level, a novel parallel local remeshing algorithm is present. It repartitions distributed hole elements evenly onto all available processors and ensures the generation of a well-shaped inter-hole boundary always. Therefore, the subsequent remeshing step can fix the inter-hole boundary involves no communications.
A case study of facilities management for heritage building revitalisation
Authors: Hou Huiying , Wu Hao 
Published: October 2019

Purpose
Heritage building revitalisation (HBR) is gaining its popularity to intervene historic buildings/sites for their conservation and reuse. Given that multiple stake-holding situations are often involved in HBR process, coordination or managerial problem may hinder versatile facilities design for operational efficiency while preserving the heritage values. To address the coordination challenge, this paper aims to examine the relevance and relative advantages of a FM-led revitalisation strategy for HBR, which the existing literature has not yet addressed.

Design/methodology/approach
This paper adopts a case study approach to a major HBR project in Hong Kong. This study conducted field observations and interviews, which were combined with publicly accessible policy and project information to identify stakeholders’ opinions and specifications for the role of facilities management (FM) in HBR project process.

Findings
The paper reveals the role of FM in coordinating the HBR process for the benefits of stakeholders and general community. FM allows a balanced approach to heritage building adaptation, sound user experience and broader community effects. This enables efficient decision-making, creative facilities design and effective public engagement. FM’s strength of fitting in the urban renewal context illustrates its comparative advantage for heritage conservation and revitalisation management.

Research limitations/implications
This study develops a conceptual map to identify FM’s role in heritage building conservation and revitalisation. This will enhance process evaluation and project decision-making that are central to heritage conservation policy and HBR intervention practices.

Originality/value
This study examines relevance and advantage of FM-led business strategy for HBR, which the existing literature has not yet addressed. It discovers FM’s strategic roles and initiates a conceptual framework for evaluation of heritage conservation management.
Thermogravitational convection of Al2O3-H2O nanoliquid in a square chamber with intermittent blocks
Authors: Sheremet Mikhail A. , Öztop Hakan F. , Abu-Hamdeh Nidal 
Published: October 2019

Purpose
The purpose of this study is to work on heat transfer enhancement within different engineering cavities is the major aim of most technical solutions. Such intensification can be obtained by using “smart” liquids known as nanoliquids and solid fins. Therefore, free convective thermal transmission within square nanoliquid chamber under the influence of complex fins is studied. The considered fins are the combination of wall-mounted adiabatic fin and an adiabatic block over this fin.

Design/methodology/approach
Influences of the Rayleigh number, location of the local adiabatic block and nanoparticles concentration on liquid motion and energy transport are studied. Finite difference technique was used to solve the governing equations.

Findings
It has been ascertained that the energy transport intensification can be reached for the middle position of this local block within the cavity.

Originality/value
The main originality of this work is to use intermittent block in a nanofluid filled cavity under differentially heated conditions. One constant and location of one of the passive element is constant and other one is fixed, which is the intermittent block, is used to control heat and fluid flow. Thus, distance between blocks is allowed to control of the velocity and kinetic energy. In this way, temperature distribution also can be controlled inside the square cross-sectional closed space. Another originality of the work is to use nanoparticle added main flow for this geometry. Thus, energy efficiency can be controlled via adiabatic intermittent blocks without spending any extra energy.
MHD stagnation-point flow and heat transfer past a stretching/shrinking sheet in a hybrid nanofluid with induced magnetic field
Authors: Junoh Mohamad Mustaqim , Ali Fadzilah Md , Arifin Norihan Md , Bachok Norfifah , Pop Ioan 
Published: October 2019

Purpose
The purpose of this paper is to investigate the steady magnetohydrodynamics (MHD) boundary layer stagnation-point flow of an incompressible, viscous and electrically conducting fluid past a stretching/shrinking sheet with the effect of induced magnetic field.

Design/methodology/approach
The governing nonlinear partial differential equations are transformed into a system of nonlinear ordinary differential equations via the similarity transformations before they are solved numerically using the “bvp4c” function in MATLAB.

Findings
It is found that there exist non-unique solutions, namely, dual solutions for a certain range of the stretching/shrinking parameters. The results from the stability analysis showed that the first solution (upper branch) is stable and valid physically, while the second solution (lower branch) is unstable.

Practical implications
This problem is important in the heat transfer field such as electronic cooling, engine cooling, generator cooling, welding, nuclear system cooling, lubrication, thermal storage, solar heating, cooling and heating in buildings, biomedical, drug reduction, heat pipe, space aircrafts and ships with better efficiency than that of nanofluids applicability. The results obtained are very useful for researchers to determine which solution is physically stable, whereby, mathematically more than one solution exist.

Originality/value
The present results are new and original for the problem of MHD stagnation-point flow over a stretching/shrinking sheet in a hybrid nanofluid, with the effect of induced magnetic field.
A new method of black-box fuzzy system identification optimized by genetic algorithm and its application to predict mixture thermal properties
Authors: He Wei , Bagherzadeh Seyed Amin , Tahmasebi Mohsen , Abdollahi Ali , Bahrami Mehrdad , Moradi Rasoul , Karimipour Arash , Goodarzi Marjan , Bach Quang-Vu 
Published: October 2019

Purpose
This paper aims to present a black-box fuzzy system identification method coupled with genetic algorithm optimization approach to predict the mixture thermal conductivity at dissimilar temperatures and nanoparticle concentrations, in the examined domains.

Design/methodology/approach
WO3 nanoparticles are dispersed in the deionized water to produce a homogeneous mixture at various nanoparticles mass fractions of 0.1, 0.5, 1.0 and 5.0 Wt.%.

Findings
The results depicted that the models not only have satisfactory precision, but also have acceptable accuracy in dealing with non-trained input values.

Originality/value
The transmission electron microscopy is applied to measure the mean diameters, shape and morphology of the dry nanoparticles. Moreover, the stability of nanoparticles inside the water is evaluated by using zeta potential and dynamic light scattering (DLS) tests. Then, the prepared nanofluid thermal conductivity is presented at different values of temperatures and concentrations.
A first time lesson study that turned into a learning study
Authors: Klammer Simone , Hanfstingl Barbara 
Published: October 2019

Purpose
The purpose of this paper is to present an implemented lesson study (LS) in English as a second language course for 11-year-old students in the fifth grade. The aim of the research lesson was to learn how to describe a person systematically.

Design/methodology/approach
Two LS cycles in two different classes were conducted and evaluated using systematic observation, case student interviews and student feedback. The data were analysed by the involved teacher team and the mentor.

Findings
The study shows that and how LS and variation theory promotes theory-based lesson preparation and postprocessing as well as team orientation among teachers without LS experience. Second, the lesson data show how elements of variation theory lead to a significant improvement in student learning activity.

Originality/value
This paper provides insights how teachers apply a first time LS and variation theory and how this effects student learning positively.
Campus sustainability
Authors: Cho Moonhee 
Published: October 2019

PurposeProposing an integrated model based on multiple theoretical approaches, such as the theory of planned behavior, the model of goal-directed behavior and self-determination theory, the purpose of this paper is to examine factors influencing college students’ campus recycling intention and actual recycling behavior.Design/methodology/approachAn online survey method was used to test the proposed model with college students. A total of 434 students participated in the survey.FindingsThis study found that self-determined motivation, attitude toward recycling, perceived behavioral control and negative anticipated emotion had direct effects on campus recycling intention, while recycling intention and self-determined motivation influenced students’ actual campus recycling behavior.Research limitations/implicationsThe findings of the study may not be generalizable to the broader population. Respondents’ self-reported assessment of their recycling behaviors may also be a drawback of the study. However, the study provides statistical evidence testing the proposed model of campus recycling.Practical implicationsThe study’s findings provide communication planners for university recycling and sustainability departments with communication and message strategies to enhance college students’ recycling behavior.Originality/valueThe study proposes a more comprehensive, tailored model that integrates other compelling theoretical models, to address college students’ sustainability engagement on campus.
Investigating the adoption of MOOCs in a developing country
Authors: Gupta Kriti Priya 
Published: October 2019

Purpose
The purpose of this study is to investigate the factors underlying the adoption of massive open online courses (MOOCs), using technology-user-environment (TUE) framework and self-determination theory (SDT) as the theoretical frameworks.

Design/methodology/approach
The primary data were collected from the field surveys conducted in the universities and academic institutions located in National Capital Region of Delhi, India, using convenience sampling technique. Structural equation modelling was used to test the hypothesized relationships in the proposed model.

Findings
The findings indicate that the learners’ intention to adopt MOOCs is significantly influenced by intrinsic motivation, social recognition, perceived value and perceived usefulness. On the other hand, the personal readiness, self-regulation of learners and peer influence are not found to have any significant impact on MOOCs adoption intention.

Practical implications
The findings of the study will be helpful for MOOCs providers and other stakeholders. The MOOCs providers should emphasize on providing courses from renowned universities in cutting-edge areas which are self-paced and cost-effective. The academic institutions should provide credit benefits to the students in lieu of completing courses through MOOCs. Likewise, employers should also recognize the certificates awarded by MOOCs and give due credit to the learners who complete such certifications.

Originality/value
The study has contributed to the existing literature on MOOCs adoption by combining constructs from TUE and SDT. To the best of the author’s knowledge, this has been a first attempt to combine these two frameworks to study the learners’ adoption behaviour for MOOCs in Indian context. The integration of these two frameworks provides a more comprehensive model of factors with increased explanatory ability (72.6 per cent) to describe the adoption intention of MOOCs.
Reconceptualising the relationships between heritage and environment within an Earth System Science framework
Authors: Richards Jenny , Orr Scott Allan , Viles Heather 
Published: October 2019

Purpose
This paper questions the common perception within heritage science that the environment is seen primarily as a risk factor that can change or impact heritage. The purpose of this paper is to reconceptualise the relationship between heritage and the environment within an Earth System Science framework, enabling a more sustainable approach for understanding and conserving heritage sites to be implemented.

Design/methodology/approach
To explore the relationship between heritage and the environment, this paper considers how perceptions of the environment within heritage science have been shaped in response to the conservation challenges facing movable heritage. Furthermore, as heritage encompasses a wide array of immovable buildings and sites whose relationships with the environment are complex and nuanced, this paper premises that the environment cannot be considered separately from heritage as it is intrinsically related by: providing components of heritage; modifying heritage; being modified by heritage; adding to heritage value; and acting as a co-creator of heritage.

Findings
This paper proposes that heritage science should learn from, and work within, the well-established Earth System Science framework. This enables interactions and feedbacks between heritage and components of the environment to be explored across a range of scales.

Practical implications
This systems-based approach allows heritage science to consider the environment more holistically and sustainably within its research and practice and better equips it to conserve movable and immovable heritage in the Anthropocene.

Originality/value
This paper provides a novel approach for viewing the relationship between heritage and the environment by using a well-established framework from other highly interdisciplinary fields.
Product-level profitability
Authors: Hannila Hannu , Koskinen Joni , Harkonen Janne , Haapasalo Harri 
Published: October 2019

Purpose
The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance.

Design/methodology/approach
The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size.

Findings
Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation).

Practical implications
The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio.

Originality/value
The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.