bluuebunny/crossref_metadata_2025_split huggingface dataset:
MiR-16-1*and miR-16-2*possess strong tumor suppressive and anti-metastatic properties in osteosarcoma
Authors: Maximov Vadim V. , Khawaled Saleh , Salah Zaidoun , Jaber Lina , Bengaiev Nataly , Barhoum Ahlam , Galasso Marco , Yavin Eylon , Aqeilan Rami I. 
Published: September 2018

AbstractOsteosarcoma (OS) is an aggressive malignancy affecting mostly children and adolescents. MicroRNAs (miRNAs) play important roles in OS development and progression. Here we found that miR-16-1* and miR-16-2* “passenger” strands as well as the “lead” miR-16 strand possess strong tumor suppressive functions in human OS. We report different although strongly overlapping functions for miR-16-1* and miR-16-2* in OS cells. Ectopic expression of these miRNAs affected primary tumor growth, metastasis seeding, and chemoresistance and invasiveness of human OS cells. Loss-of-function experiments verified tumor suppressive functions of these miRNAs at endogenous levels of expression. Using RNA immunoprecipitation (RIP) assays, we identify direct targets of miR-16-1* and miR-16-2* in OS cells. Furthermore, validation experiments identifiedFGFR2as a direct target for miR-16-1* and miR-16-2*. Overall, our findings underscore the importance of passenger strand miRNAs in osteosarcomagenesis.Novelty and ImpactOsteosarcoma (OS) can be a fatal disease. MicroRNAs (miRNAs) play crucial roles in osteosarcomagenesis. In this study, we identify miR-16-1* and miR-16-2* as strong tumor suppressors and anti-metastatic genes in OS. This is the first report demonstrating tumor suppressive functions of passenger strands of these miRNAs in OS. Given thatMIR-16-1is located in 13q14 region that is commonly deleted in several human malignancies, our findings shed light on oncogenic mechanisms triggered by 13q14 deletion.
Residual avoidance: a new consistent and repeatable readout of chronic stress-induced conflict anxiety reversible by antidepressant treatment
Authors: Prevot Thomas D. , Misquitta Keith A. , Fee Corey , Newton Dwight F. , Chatterjee Dipashree , Nikolova Yuliya S. , Sibille Etienne , Banasr Mounira 
Published: September 2018

AbstractStress-related illnesses such as major depressive and anxiety disorders are characterized by maladaptive responses to stressful life events. Chronic stress-based animal models have provided critical insight into the understanding of these responses. Currently available assays measuring chronic stress-induced behavioral states in mice are limited in their design (short, not repeatable, sensitive to experimenter-bias) and often inconsistent. Using the Noldus PhenoTyper apparatus, we identified a new readout that repeatedly assesses behavioral changes induced by chronic stress in two mouse models i.e. chronic restraint stress (CRS) and chronic unpredictable mild stress (UCMS). The PhenoTyper test consists of overnight monitoring of animals’ behavior in home-cage setting before, during and after a 1hr light challenge applied over a designated food zone. We tested the reproducibility and reliability of the PhenoTyper test in assessing the effects of chronic stress exposure, and compared outcomes with commonly-used tests. While chronic stress induced heterogeneous profiles in classical tests, CRS- and UCMS-exposed mice showed a very consistent response in the PhenoTyper test. Indeed, CRS and UCMS mice continue avoiding the lit zone in favor of the shelter zone. This “residual avoidance” after the light challenge, lasted for hours beyond termination of the challenge, was not observed after acute stress and was consistently found throughout stress exposure in both models. Chronic stress-induced residual avoidance was alleviated by chronic imipramine treatment but not acute diazepam administration. This behavioral index should be instrumental for studies aiming to better understand the trajectory of chronic stress-induced deficits and potentially screen novel anxiolytics and antidepressants.
BNMCMC: a software for inferring and visualizing Bayesian networks using MCMC methods
Authors: Azad A. K. M. , Alyami Salem A. , Keith Jonathan M. 
Published: September 2018

AbstractMotivationBayesian networks (BNs) are widely used to model biological networks from experimental data. Many software packages exist to infer BN structures, but the chance of getting trapped in local optima is a common challenge. Some recently developed Markov Chain Monte Carlo (MCMC) samplers called the Neighborhood sampler (NS) and Hit-and-Run (HAR) sampler, have shown great potential to substantially avoid this problem compared to the standard Metropolis-Hastings (MH) sampler.ResultsWe have developed a software called BNMCMC for inferring and visualizing BNs from given datasets. This software runs NS, HAR and MH samplers using a discrete Bayesian model. The main advantage of BNMCMC is that it exploits adaptive techniques to efficiently explore BN space and evaluate the posterior probability of candidate BNs to facilitate large-scale network inference.AvailabilityBNMCMC is implemented with C#.NET, ASP.NET, Jquery, Javascript and D3.js. The standalone version (BN visualization missing) available for downloading at https://sourceforge.net/projects/bnmcmc/, where the user-guide and an example file are provided for a simulation. A dedicated BNMCMC web server will be launched soon feature a physics-based BN visualization technique.Contactakm.azad@unsw.edu.au
Miro-dependent mitochondrial pool of CENP-F and its farnesylated C-terminal domain are dispensable for normal development in mice
Authors: Peterka Martin , Kornmann Benoît 
Published: September 2018

AbstractCENP-F is a large, microtubule-binding protein that regulates multiple cellular processes including chromosome segregation and mitochondrial trafficking at cytokinesis. This multiplicity of function is mediated through the binding of various partners, like Bub1 at the kinetochore and Miro at mito-chondria. Due to the multifunctionality of CENP-F, the cellular phenotypes observed upon its depletion are difficult to interpret and there is a need to genetically separate its different functions by preventing binding to selected partners. Here we engineer a CENP-F point-mutant that is deficient in Miro binding and thus is unable to localize to mitochondria, but retains other localizations. We introduced this mutation in cultured human cells using CRISPR/Cas9 and show it causes a defect in mitochondrial spreading similar to that observed upon Miro depletion. We further create a mouse model carrying this CENP-F variant, as well as truncated CENP-F mutants lacking the farnesylated C-terminus of the protein. Importantly, one of these truncations leads to ∼80% downregulation of CENP-F expression. We observe that, despite the phenotypes apparent in cultured cells, mutant mice develop normally. Taken together, these mice will serve as important models to study CENP-F biology at organismal level. In addition, because truncations of CENP-F in humans cause a lethal disease termed Strømme syndrome and because CENP-F is involved in cancer development, they might also be relevant disease models.
Framework for successful supply chain implementation in healthcare area from provider’s prospective
Authors: Kwon Ik-Whan , Kim Sung-Ho 
Published: September 2018

Purpose
This paper aims to explore avenue where suppliers and manufacturers are aligned with health-care providers to improve supply chain visibility. Supply chain finance is explored to link suppliers/manufacturers with health-care providers.

Design/methodology/approach
Existing literature on supply chain visibility in health care forms a basis to achieve the study purpose. Alignment calls also for financial health where supply chain partners’ working capital is readily available to execute joint supply chain plan.

Findings
There is a disjoint in supply chain alliance between suppliers/manufacturers and providers where providers are unable to trace the origin of supplies. Quality care suffers and cost of care rises as providers search for supplies on an emergency basis. This paper provides a framework where solution can be formulated.

Research limitations/implications
Suppliers/manufactures form a direct strategic alliance with providers where product visibility enables health-care providers with a better patient management with lower cost of supplies. Inventory management and logistics cost will be lowered as better planning/forecasting is in place. This paper does not call for testing any hypothesis. Perhaps, next move along this line will be to investigate financial health of supply chain partners based on supplier relationship management practices.

Originality/value
This paper proposes health-care supply chain as an alternative solution to achieve the following twin purposes: controlling the cost while improving quality of care through supply chain finance. As far as we know, this study is the first attempt to achieve the goals.
Numerical analysis on thermal performance of cooling plates with wavy channels in PEM fuel cells
Authors: Li Shian , Ake Sunden Bengt 
Published: September 2018

Purpose
The purpose of this paper is to investigate the thermal performance of the cooling plates with conventional straight channel and wavy channel designs.

Design/methodology/approach
A three-dimensional model involving coupled fluid flow and heat transfer processes is developed to study the thermal performance of the cooling plates. The effects of wavelength and amplitude on the cooling performance are also studied. In addition, two novel wavy channels with varying wavelength are proposed and investigated.

Findings
The simulated results are compared in terms of pressure drop, average temperature, maximum surface temperature, temperature difference between the maximum temperature and minimum temperature and surface temperature uniformity index. It is concluded that the cooling performance is significantly improved by the wavy channel.

Practical implications
The current study can improve the understanding of transport characterization of the cooling plates with wavy channel design and provide guidelines for the design of cooling plates.

Originality/value
The design of cooling plates with wavy channels can be used in proton exchange membrane fuel cells to improve the cooling performance.
Do as you say
Authors: Biron Caroline , Parent-Lamarche Annick , Ivers Hans , Baril-Gingras Genevieve 
Published: September 2018

Purpose
The purpose of this paper is to uncover the effect of psychosocial safety climate (PSC – a climate for psychological health) on managerial quality and the mediating processes explaining that association. It is posited that the alignment between what is said (espoused PSC) and what is done (enacted PSC via managerial quality) is important for successful organizational interventions. Managers’ own psychosocial work factors act as resources to facilitate the enactment of managerial quality.

Design/methodology/approach
Two waves of survey were administered over a three-month period (n at Time 1=144, n at Time 2=166, overall n=115) in a study of four organizations involved in implementing the Quebec Healthy Enterprise Standard (QHES). A cross-lagged panel analysis was used to determine the temporal direction of the PSC–managerial quality relationship. A longitudinal mediation model of PSC as a determinant of managerial quality was tested using job demands, job control, social support and quality of relationships with subordinates as mediators.

Findings
The cross-lagged panel analysis showed that PSC is temporally prior to managerial quality in that the relationship between PSC at T1 and managerial quality at T2 was stronger than the relationship between managerial quality at T1 and PSC at T2. A two-wave mediation analysis showed that PSC was positively associated with managerial quality, and that job control partially mediated this relationship. Contrary to expectations, managers’ workload, their social support and the quality of their relationships with subordinates did not mediate the PSC–managerial quality relationship.

Research limitations/implications
Despite the small sample size and short timeframe of this study, it contributes to knowledge on the resources facilitating managerial quality, which is important for employees’ psychological health. Little is known regarding the mediating processes that explain how managers’ own context and psychosocial work factors affect their management practices during organizational health interventions.

Practical implications
From a practical view point, this study contributes to the literature showing that managers need to be supported during the implementation of health interventions, and need the leeway to pursue the organization’s prevention objectives.

Originality/value
Whereas previous studies have focused on describing the impact of leadership behaviors on employee health outcomes, the study offers insights into the resources that help managers translate PSC into action in the implementation of a national standard, the QHES.
Barriers to smart services for manufacturing companies – an exploratory study in the capital goods industry
Authors: Klein Maximilian Michael , Biehl Sebastian Simon , Friedli Thomas 
Published: September 2018

Purpose
The purpose of this paper is to identify and investigate non-technical barriers for smart services in the capital goods industry.

Design/methodology/approach
A multiple methodology approach is adopted. First, qualitative workshops and interviews were conducted with 14 experts from five companies. The findings generated subsequently provided a basis for a large-scale quantitative survey of manufacturing company service representatives in the capital goods industry, the data from which were analyzed using explorative factor analysis.

Findings
In total, 25 items that represent barriers to smart service businesses were identified, using qualitative research. Large-scale quantitative research revealed 24 items structured into four factors. Additionally, the respondents’ assessment of the individual barriers’ impact on their smart service businesses is presented.

Research limitations/implications
The study focuses on manufacturing companies in the capital goods industry, mainly, in the European countries. Caution should be exercised in seeking to generalize the results to other industries. The findings should be confirmed with subsequent confirmatory analyses using additional data.

Practical implications
The authors’ findings provide a comprehensive list and classification of barriers, as well as an assessment of their severity, serving as a practical guideline for managers.

Originality/value
This paper explores the barriers to smart services from a provider’s perspective. Its holistic approach and use of large-scale quantitative data qualify it as one of the first studies of this kind.
Determinants of low adoption of Islamic banking in Pakistan
Authors: Butt Irfan , Ahmad Nisar , Naveed Amjad , Ahmed Zeeshan 
Published: September 2018

Purpose
The purpose of this paper is to examine the reasons behind low penetration of Islamic banking in Pakistan. Specifically, the study investigates the differentiation of Islamic banks (IBs) from conventional banks, the role of religion in choosing Islamic banking and the perception of IBs amongst the consumers.

Design/methodology/approach
The study uses a mixed-method approach, qualitative research along with a survey of users of conventional and Islamic banking. Factor analysis identified underlying dimensions and cluster analysis ascertained the differences between users and non-users of Islamic banking. Inferential statistics were used to test purported hypotheses.

Findings
The study finds that the users and non-users both perceive that Islamic banking is not completely interest-free. Furthermore, consumers presume that IBs are more of eyewash and are not truly practicing Islamic banking. Moreover, religion is not a major factor that attracts new users but there are also other important factors in marketing Islamic banking, such as service quality, convenience, branch network, etc.

Originality/value
This is one of the sparse studies in the field of Islamic banking consumer behaviour, which uses focus groups of users and non-users, and in-depth interviews of experts, to identify the issues and factors considered relevant and important by the users rather than relying only on literature review. Furthermore, it also provides a profile of users versus non-users of Islamic banking which is very useful for segmentation and targeting of customers.
Teaching in the moment: educational experience in the age of tomorrow
Authors: McConnell Moroye Christy , Uhrmacher P. Bruce 
Published: September 2018

Purpose
The purpose of this paper is to examine, from a curricular perspective, fresh ideas emanating from the USA that have potential to improve educational settings across the globe. As such, this conceptual undertaking begins by arguing that little attention is being paid to the quality of present experiences in schools and classrooms. Stated differently, there is too much focus on tests, standards, workforce development and college readiness. Subsequently, educators are ignoring present experiences, which in the authors’ view may lead to mis-education rather than education.

Design/methodology/approach
To assist the authors in understanding this problem, as well as remedying it, they examine John Dewey’s ideas about experience generally and his notions of continuity and interaction in particular. From there, the authors argue that to delve deeply into present experiences, educators might use ideas found in aesthetic and ecological education. They elaborate upon each based on their prior research into a style of aesthetic education called CRISPA, an acronym that stands for connections, risk-taking, sensory experiences, perceptivity and active engagement, and a mode of ecological education called ecological mindedness.

Findings
The authors suggest that educators use CRISPA. Further, they argue that attention be paid to ecological care, interconnectedness and integrity.

Originality/value
The authors believe that workforce development and college readiness are important goals, but to achieve these goals, as well as any others deemed important by educators in their local contexts, we must focus on the quality of present experiences for both teachers and students. Only then will we have an education worthy of the appellation.
Using plant, microbe, and soil fauna traits to improve the predictive power of biogeochemical models
Authors: Fry Ellen L. , De Long Jonathan R. , Álvarez Garrido Lucía , Alvarez Nil , Carrillo Yolima , Castañeda‐Gómez Laura , Chomel Mathilde , Dondini Marta , Drake John E. , Hasegawa Shun , Hortal Sara , Jackson Benjamin G. , Jiang Mingkai , Lavallee Jocelyn M. , Medlyn Belinda E. , Rhymes Jennifer , Singh Brajesh K. , Smith Pete , Anderson Ian C. , Bardgett Richard D. , Baggs Elizabeth M. , Johnson David 
Published: September 2018

AbstractProcess‐based models describing biogeochemical cycling are crucial tools to understanding long‐term nutrient dynamics, especially in the context of perturbations, such as climate and land‐use change. Such models must effectively synthesize ecological processes and properties. For example, in terrestrial ecosystems, plants are the primary source of bioavailable carbon, but turnover rates of essential nutrients are contingent on interactions between plants and soil biota. Yet, biogeochemical models have traditionally considered plant and soil communities in broad terms. The next generation of models must consider how shifts in their diversity and composition affect ecosystem processes.One promising approach to synthesize plant and soil biodiversity and their interactions into models is to consider their diversity from a functional trait perspective. Plant traits, which include heritable chemical, physical, morphological and phenological characteristics, are increasingly being used to predict ecosystem processes at a range of scales, and to interpret biodiversity–ecosystem functional relationships. There is also emerging evidence that the traits of soil microbial and faunal communities can be correlated with ecosystem functions such as decomposition, nutrient cycling, and greenhouse gas production.Here, we draw on recent advances in measuring and using traits of different biota to predict ecosystem processes, and provide a new perspective as to how biotic traits can be integrated into biogeochemical models. We first describe an explicit trait‐based model framework that operates at small scales and uses direct measurements of ecosystem properties; second, an integrated approach that operates at medium scales and includes interactions between biogeochemical cycling and soil food webs; and third, an implicit trait‐based model framework that associates soil microbial and faunal functional groups with plant functional groups, and operates at the Earth‐system level. In each of these models, we identify opportunities for inclusion of traits from all three groups to reduce model uncertainty and improve understanding of biogeochemical cycles.These model frameworks will generate improved predictive capacity of how changes in biodiversity regulate biogeochemical cycles in terrestrial ecosystems. Further, they will assist in developing a new generation of process‐based models that include plant, microbial, and faunal traits and facilitate dialogue between empirical researchers and modellers.
Microclima: An r package for modelling meso‐ and microclimate
Authors: Maclean Ilya M. D. , Mosedale Jonathan R. , Bennie Jonathan J. 
Published: September 2018

Abstract

Climate is of fundamental importance to the ecology and evolution of all organisms. However, studies of climate–organism interactions usually rely on climate variables interpolated from widely spaced measurements or modelled at coarse resolution, whereas the conditions experienced by many organisms vary over scales from millimetres to metres.

To help bridge this mismatch in scale, we present models of the mechanistic processes that govern fine‐scale variation in near‐ground air temperature. The models are flexible (enabling application to a wide variety of locations and contexts), can be run using freely available data and are provided as an R package.

We apply a mesoclimate model to the Lizard Peninsula in Cornwall to provide hourly estimates of air temperature at resolution of 100 m for the period Jan‐Dec 2010. A microclimate model is then applied to a 1 km2 region of the Lizard Peninsula, Caerthillean Valley (49.969°N, 5.215°W), to provide hourly estimates of near‐ground air temperature at resolution of 1 m2 during May 2010.

Our models reveal substantial spatial variation in near‐ground temperatures, driven principally by variation in topography and, at the microscale, by vegetation structure. At the meso‐scale, hours of exposure to air temperatures at 1 m height in excess of 25°C ranged from 23 to 158 hr, despite this temperature never being recorded by the weather station within the study area during the study period. At the micro‐scale, steep south‐facing slopes with minimal vegetation cover experienced temperatures in excess of 40°C.

The microclima package is flexible and efficient and provides an accurate means of modelling fine‐scale variation in temperature. We also provide functions that facilitate users to obtain and process a variety of freely available datasets needed to drive the model.