bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Urban Density and Vegetation Cover on the Heat Island of a Subtropical City
Authors: Chapman Sarah , Thatcher Marcus , Salazar Alvaro , Watson James E. M. , McAlpine Clive A. 
Published: September 2018

AbstractThe urban heat island (UHI) has a negative impact on the health of urban residents by increasing average temperatures. The intensity of the UHI effect is influenced by urban geometry and the amount of vegetation cover. This study investigated the impact of urban growth and loss of vegetation cover on the UHI in a subtropical city (Brisbane, Australia) during average and extreme conditions using the Conformal Cubic Atmospheric Model, run at a 1-km spatial resolution for 10 years. The average nighttime temperature increase was 0.7°C for the “Medium Density” urban growth scenario and 1.8°C for the “No Vegetation” scenario. During two widespread extreme heat events, the mean maximum increase in urban temperatures above the Control was between 2.2° and 3.8°C in the No Vegetation scenario and between 0.3° and 1.6°C in the Medium Density urban growth scenario. The results are similar to previous findings for temperate cities, with the intensity of the UHI effect higher at night and during winter than during the day and summer. Vegetation cover had the strongest impact on temperatures, more so than building height and height/width ratio. Maintaining and restoring vegetation, therefore, is a key consideration in mitigating the urban heat island. The large temperature increases found in this study, particularly during extreme heat events, shows the importance of reducing the UHI for protecting the health of urban residents, and this should be a priority in urban landscape planning and design.
Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land–Atmosphere Data Assimilation
Authors: Lin Liao-Fan , Pu Zhaoxia 
Published: September 2018

AbstractThis study characterizes the spatial and temporal variability of the background error covariance between the land surface soil moisture and atmospheric states for a better understanding of the potentials of assimilating satellite soil moisture data under a framework of strongly coupled land–atmosphere data assimilation. The study uses the Noah land surface model coupled with the Weather Research and Forecasting (WRF) Model and the National Meteorological Center (NMC) method for computing the land–atmosphere background error covariance from 2015 to 2017 over the contiguous United States. The results show that the forecast errors in top-10-cm soil moisture and near-surface air potential temperature and specific humidity are correlated and relatively large during the daytime in the summer. The magnitude of the error correlation between these three states is comparable. For example, in July, the error correlation averaged over all day- and nighttime samples is −0.13 for near-surface temperature and humidity, −0.20 for surface soil moisture and near-surface temperature, and 0.15 for surface soil moisture and near-surface humidity. During the summer, the forecast errors in surface soil moisture are correlated with those of atmospheric states up to the sigma pressure level of 0.9 (approximately 900 hPa for a sea level location) with domain-mean correlations of −0.15 and 0.1 for temperature and humidity, respectively. The results suggest that assimilation of satellite soil moisture data could provide cross-variable impacts comparable to those assimilating conventional near-surface temperature and humidity data. The forecast errors of soil moisture are only marginally correlated with those of the winds.
Subseasonal Prediction of Wintertime East Asian Temperature Based on Atmospheric Teleconnections
Authors: Yoo Changhyun , Johnson Nathaniel C. , Chang Chueh-Hsin , Feldstein Steven B. , Kim Young-Ha 
Published: September 2018

AbstractA composite-based statistical model utilizing Northern Hemisphere teleconnection patterns is developed to predict East Asian wintertime surface air temperature for lead times out to 6 weeks. The level of prediction is determined by using the Heidke skill score. The prediction skill of the statistical model is compared with that of hindcast simulations by a climate model, Global Seasonal Forecast System, version 5. When employed individually, three teleconnections (i.e., the east Atlantic/western Russian, Scandinavian, and polar/Eurasian teleconnection patterns) are found to provide skillful predictions for lead times beyond 4–5 weeks. When information from the teleconnections and the long-term linear trend are combined, the statistical model outperforms the climate model for lead times beyond 3 weeks, especially during those times when the teleconnections are in their active phases.
Stress analysis of sandwich composite beam induced by piezoelectric layer
Authors: Her Shiuh-Chuan , Chen Han-Yung 
Published: September 2018

Introduction: Smart structures equipped with piezoelectric devices to sense and actuate the structure could be used in many engineering applications. To explore the smart structure further and apply it to more complex structures, some problems are critical to be concerned. Among them, delamination due to the high stress is an important issue since its serious effect on the strength and stiffness of the composite structure. Method: In this investigation, a piezoelectric layer is embedded into the host structure to form a sandwich composite structure. The piezoelectric layer is subjected to an electric voltage, yielding the bending effect on the sandwich composite structure. A theoretical model based on the Euler beam theory and interfacial continuity is presented to determine the stresses of the sandwich composite beam caused by the piezoelectric layer. Results: The influences of the embedded depth and Young’s modulus of the piezoelectric layer on the stress distribution of the sandwich composite beam are investigated through a parametric study. The analytical solutions are verified by the finite element method. Good agreement is achieved between the present approach and the finite element method. Conclusions: Numerical analysis indicates that the maximum tensile stresses in the top and bottom layers are decreasing with the increase of the embedded depth, while the maximum compressive stress in the lead zirconate titanate layer is increasing with the increase of the embedded depth. Both the top and bottom layers are subjected to tensile stress and increasing with the increase of the Young’s modulus ratio, while the piezoelectric layer is subjected to compressive stress and increasing with the increase of the Young’s modulus ratio.
Magnetic and dielectric properties of Ca-substituted BiFeO3 nanoferrites by the sol-gel method
Authors: Lin Jinpei , Guo Zeping , Li Mei , Lin Qing , Huang Kangling , He Yun 
Published: September 2018

Background: A multiferroic material can simultaneously show two or more basic magnetic properties, including ferromagnetism, antiferromagnetism, and ferroelectricity. BiFeO3 is a multiferroic material with a rhombohedral distorted perovskite structure. Doping can reduce the volatility of Bi and greatly improve the magnetoelectric properties of BiFeO3. Methods: To investigate the influence of the doping content we used the following analytical methods: X-ray powder diffraction (XRD), scanning electron microscopy (SEM), microwave network analysis (PNA-N5244A), and the Superconducting Quantum Interference Device (Quantum Design MPMS) test. Results: With the increase of Ca2+ concentration in the solution, the grain size of Bi1- xCa xFeO3 becomes smaller, showing the role of Ca2+ ions as the dopant for fine grains. The calcination temperatures are the major causes for the saturated magnetization. The residual magnetization ( Mr) and the coercive force ( Hc) decrease linearly with the increase of x value, and due to the effect of Ca2+ substitution at Bi3+ sites, which causes the valence change of Fe and/or the oxygen vacancies. Conclusions: The XRD result indicates that the diffraction peak emerges with the increase of Ca2+ and the main diffraction peak achieves a high angle. The best calcining temperature is 600 °C, and the morphology is very dependent on the calcining temperature.
Cancer cells growing on perfused 3D collagen model produced higher reactive oxygen species level and were more resistant to cisplatin compared to the 2D model
Authors: Liu Qingxi , Zhang Zijiang , Liu Yupeng , Cui Zhanfeng , Zhang Tongcun , Li Zhaohui , Ma Wenjian 
Published: September 2018

Introduction: Three-dimensional (3D) collagen scaffold models, due to their ability to mimic the tissue and organ structure in vivo, have received increasing interest in drug discovery and toxicity evaluation. Methods: In this study, we developed a perfused 3D model and studied cellular response to cytotoxic drugs in comparison with traditional 2D cell cultures as evaluated by cancer drug cisplatin. Results: Cancer cells grown in perfused 3D environments showed increased levels of reactive oxygen species (ROS) production compared to the 2D culture. As determined by growth analysis, cells in the 3D culture, after forming a spheroid, were more resistant to the cancer drug cisplatin compared to that of the 2D cell culture. In addition, 3D culturing cells showed elevated level of ROS, indicating a physiological change or the formation of a microenvironment that resembles tumor cells in vivo. Conclusions: These data revealed that cellular response to drugs for cells growing in 3D environments are dramatically different from that of 2D cultured cells. Thus, the perfused 3D collagen scaffold model we report here might be a potentially very useful tool for drug analysis.
Long-term behaviors of phosphate-based rapid repairing material for concrete shafts in coal mines
Authors: Lei Feng , Zhen-ya Zhang , Xiao-dong Wen , Chao Xin , Dong-yuan Hu 
Published: September 2018

Introduction: Concrete structures in shaft linings are apt to deteriorate prematurely and therefore prompt restoration is required. In considering this, desulphurization fly ash and machine-made tuff sand are employed to fabricate a phosphate-based rapid repairing material. Methods: The long-term efficiency of the material is evaluated based on combined factors, so drying shrinkage, interfacial bonding strength, corrosion resistance, and combustibility of the specimens are tested and researched in this paper. Results: Experimental results showed that, under a dry circumstance, the material goes through a minor expansion at an early stage. It goes into a stage of rapid contraction after one day and a stable contraction after seven days. After 28 days, the total deformation is 67 micro-strains. On the other hand, the fabricated material manifests an excellent mechanical property. The one hour bending strength and compressive strength were 9.2 MPa and 32.6 MPa, respectively. A long-term mine water flushing simulation demonstrates that only 10% bending strength is lost and the corrosion resistance coefficient stays above 0.8, so a very good corrosion resistance is thus achieved. Conclusions: What is more, this repairing material retains its stability even at a high temperature of 1000°C, revealing its good thermo-stability. All these prominent properties make it a good prospective material for real restoration applications.
The effect of a youth mental health service model on access to secondary mental healthcare for young people aged 14–25 years
Authors: Maxwell Sarah , Ugochukwu Obianuju , Clarke Tim , Gee Brioney , Clarke Emmet , Westgate Hope , Wilson Jonathan , Lennox Belinda R , Goodyer Ian M 
Published: September 2018

Aims and methodThe Norfolk Youth Service was created in 2012 in response to calls to redesign mental health services to better meet the needs of young people. The new service model transcends traditional boundaries by creating a single, ‘youth friendly’ service for young people aged 14–25 years. The aim of this study was to investigate the effect of the transition to this new model on patterns of referral, acceptance and service use. We analysed routinely collected data on young people aged 14–25 years referred for secondary mental healthcare in Norfolk before and after implementation of the youth mental health service. The number of referrals, their age and gender, proportion of referrals accepted and average number of service contacts per referral by age pre- and post-implementation were compared.ResultsReferrals increased by 68% following implementation of the new service model, but the proportion of referrals accepted fell by 27 percentage points. Before implementation of the youth service, there was a clear discrepancy between the peak age of referral and the age of those seen by services. Following implementation, service contacts were more equitable across ages, with no marked discontinuity at age 18 years.Clinical implicationsOur findings suggest that the transformation of services may have succeeded in reducing the ‘cliff edge’ in access to mental health services at the transition to adulthood. However, the sharp rise in referrals and reduction in the proportion of referrals accepted highlights the importance of considering possible unintended consequences of new service models.Declaration of interestsNone.
The HMGA2-IMP2 Pathway Promotes Granulosa Cell Proliferation in Polycystic Ovary Syndrome
Authors: Li Miao , Zhao Han , Zhao Shi-Gang , Wei Dai-Min , Zhao Yue-Ran , Huang Tao , Muhammad Tahir , Yan Lei , Gao Fei , Li Lei , Lu Gang , Chan Wai-Yee , Leung Peter C K , Dunaif Andrea , Liu Hong-Bin , Chen Zi-Jiang 
Published: September 2018

AbstractContextThe high mobility group AT hook 2 (HMGA2) gene was previously identified in a genome-wide association study as a candidate risk gene that might be related to polycystic ovary syndrome (PCOS). Whether HMGA2 contributes to promoting granulosa cell (GC) proliferation in PCOS remains unknown.ObjectiveWe sought to determine whether HMGA2 is involved in the ovarian dysfunction of PCOS and in the mechanism of increased GC proliferation.Patients and CellsmRNA expression was analyzed in ovarian GCs from 96 women with PCOS and 58 healthy controls. Immortalized human GCs (KGN and SVOG cells) were used for the mechanism study.Main Outcome MeasuresmRNA expression in ovarian GCs was measured using quantitative RT-PCR, and KGN cells were cultured for proliferation assays after overexpression or knockdown of target genes. Protein expression analysis, luciferase assays, and RNA binding protein immunoprecipitation assays were used to confirm the mechanism study.ResultsHMGA2 and IGF2 mRNA binding protein 2 (IMP2) were highly expressed in the GCs of women with PCOS, and the HMGA2/IMP2 pathway promoted GC proliferation. Cyclin D2 and SERPINE1 mRNA binding protein 1 were regulated by IMP2 and were highly expressed in women with PCOS.ConclusionsThe HMGA2/IMP2 pathway was activated in women with PCOS and promoted the proliferation of GCs. This might provide new insights into the dysfunction of GCs in PCOS.
Cardiovascular Safety During and After Use of Phentermine and Topiramate
Authors: Ritchey Mary E , Harding Abenah , Hunter Shannon , Peterson Craig , Sager Philip T , Kowey Peter R , Nguyen Lan , Thomas Steven , Cainzos-Achirica Miguel , Rothman Kenneth J , Andrews Elizabeth B , Anthony Mary S 
Published: September 2018

Abstract

Context
Increases in heart rate were seen during the clinical program for fixed-dose combination phentermine (PHEN) and topiramate (TPM), an oral medication indicated for weight management; however, the effect on cardiovascular (CV) outcomes is uncertain.

Objective
The aim of the present study was to determine the extent to which the rates of major adverse CV events (MACE) in patients using PHEN and TPM (including fixed dose) differed from the MACE rates during unexposed periods.

Design
Retrospective cohort study.

Setting
MarketScan, US insurance billing data.

Patients or Other Participants
Patients aged &gt;18 years with ≥6 months of continuous enrollment in the database before taking PHEN and/or TPM or after stopping these medications.

Interventions
PHEN and TPM, taken separately and together (including fixed dose).

Main Outcome Measures
MACE, a composite of hospitalization for acute myocardial infarction and stroke and in-hospital CV death.

Results
Because the outcomes are rare and the duration of medication use was brief, few events occurred. The MACE rates among current users of PHEN/TPM, fixed-dose PHEN/TPM, and PHEN were lower than those among unexposed former users. In contrast, the rate of MACE among current users of TPM was greater than among unexposed former users [incidence rate ratio: PHEN/TPM, 0.57; 95% CI, 0.19 to 1.78; fixed-PHEN/TPM, 0.24; 95% CI, 0.03 to 1.70; PHEN, 0.56; 95% CI, 0.34 to 0.91; TPM, 1.58; 95% CI, 1.33 to 1.87).

Conclusions
Overall, the data indicated no increased risk of MACE for current PHEN/TPM users; however, the 95% CIs for the PHEN/TPM groups were broad, indicating that the data were compatible with a wide range of possible values.
scClustViz – Single-cell RNAseq cluster assessment and visualization
Authors: Innes Brendan T. , Bader Gary D. 
Published: September 2018

Single-cell RNA sequencing (scRNAseq) represents a new kind of microscope that can measure the transcriptome profiles of thousands of individual cells from complex cellular mixtures, such as in a tissue, in a single experiment. This technology is particularly valuable for characterization of tissue heterogeneity because it can be used to identify and classify all cell types in a tissue. This is generally done by clustering the data, based on the assumption that cells of a particular type share similar transcriptomes, distinct from other cell types in the tissue. However, nearly all clustering algorithms have tunable parameters which affect the number of clusters they will identify in data. The R Shiny software tool described here, scClustViz, provides a simple interactive graphical user interface for exploring scRNAseq data and assessing the biological relevance of clustering results. Given that cell types are expected to have distinct gene expression patterns, scClustViz uses differential gene expression between clusters as a metric for assessing the fit of a clustering result to the data at multiple cluster resolution levels. This helps select a clustering parameter for further analysis. scClustViz also provides interactive visualisation of: cluster-specific distributions of technical factors, such as predicted cell cycle stage and other metadata; cluster-wise gene expression statistics to simplify annotation of cell types and identification of cell type specific marker genes; and gene expression distributions over all cells and cell types. scClustViz provides an interactive interface for visualisation, assessment, and biological interpretation of cell-type classifications in scRNAseq experiments that can be easily added to existing analysis pipelines, enabling customization by bioinformaticians while enabling biologists to explore their results without the need for computational expertise. It is available at https://baderlab.github.io/scClustViz/.
Spare Parts Inventory Management with Substitution-Dependent Reliability
Authors: Khademi Amin , Eksioglu Burak 
Published: September 2018

Motivated to apply sustainable supply chain principles to air-pollution control systems, this paper presents a dynamic inventory-management approach where substitution is possible to maintain these systems’ equipment. An air-pollution control system’s subsequent reliability depends on the replacement equipment selected. The corresponding problem is formulated as a stochastic dynamic program. Because the state and action space are prohibitively large, the approximate policy iteration algorithm is adapted to generate high-quality solutions. Therefore, this work replaces the value function with an affine combination of nonlinear basis functions and shows that a relaxation of the policy improvement step requires the solving of a mixed integer linear program. This approach helps in the designing of an algorithm that improves the quality of the approximation by solving a convex optimization problem. To assess the quality of resulting solutions, a lower bound is developed by considering a relaxation of the problem. In addition, two classes of heuristics are proposed based on a rolling-horizon two-stage stochastic programming formulation of the problem and a standard base-stock ordering policy. The performance of proposed policies is tested on a variety of settings, and results show that the approximate dynamic programming policies are near-optimal in the settings of interest and significantly outperform available benchmarks. The following analysis reveals that the proposed inventory replenishment policies resemble a base-stock policy with occasional deviations, and assignment and substitution decisions are determined by balancing the reliability with ordering, holding, and shortage costs. The online supplement is available at https://doi.org/10.1287/ijoc.2017.0794 .
India’s Science, Technology and Innovation Policy: Choices for Course Correction with Lessons Learned from China
Authors: Sandhya G.D. 
Published: September 2018

<p>A large number of developed and emerging economies have introduced S&amp;T reforms and some of them such as Japan, South Korea and later China have used them for gaining competitive advantage in science, technology and innovation through well crafted S&amp;T policies and appropriate strategies. So far, India has pronounced four major S&amp;T policies beginning with the Science Policy Resolution (SPR) in 1958, Technology Policy in 1983; S&amp;T Policy in 2003 and Science Technology and Innovation Policy in 2013. In a period of six decades India has created a huge S&amp;T infrastructure and made impressive achievements in space, defence and atomic energy, yet the feat is not as impressive in the industrial sector. In innovation competitiveness, R&amp;D and human resource, the indices related to global manufacturing, competition, innovation and knowledge, India has not performed as well in comparison to other BRICS countries. In this paper an attempt has been made to look at, how comprehensive India’s STI policies with regard to policy components; a roadmap; strategies for execution and boldness in terms of identifying and recognising the failures and recommend major structural changes. What is intended is to understand the relationship between the domain of S&amp;T policy and intended outcomes; the mismatch between the policy expectations and outcomes. An attempt is being made to identify possibility for correction by taking lessons from other economies, such as China.</p><p> </p><p><strong>Keywords</strong>: S&amp;T policies, Innovation policies, Innovation ecosystem</p>