bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chronic aromatase inhibition increases ventral hippocampal neurogenesis in middle-aged female mice
Authors: Chaiton Jessica A , Wong Sarah J , Galea Liisa AM 
Published: October 2018

AbstractLetrozole, a third-generation aromatase inhibitor, prevents the production of estrogens in the final step in conversion from androgens. Due to its efficacy at suppressing estrogens, letrozole has recently taken favor as a first-line adjuvant treatment for hormone-responsive breast cancer in middle-aged women. Though patient response to letrozole has generally been positive, there is conflicting evidence surrounding its effects on the development of depression. It is possible that the potential adverse effects of letrozole on mood are a result of the impact of hormonal fluctuations on neurogenesis in the hippocampus. Thus, to clarify the effects of letrozole on the hippocampus and behavior, we examined how chronic administration affects hippocampal neurogenesis and depressive-like behavior in middle-aged, intact female mice. Mice were given either letrozole (1mg/kg) or vehicle by injection (i.p.) daily for 3 weeks. Depressive-like behavior was assessed during the last 3 days of treatment using the forced swim test, tail suspension test, and sucrose preference test. The production of new neurons was quantified using the immature neuronal marker doublecortin (DCX), and cell proliferation was quantified using the endogenous marker Ki67. We found that letrozole increased DCX and Ki67 expression and maturation in the dentate gyrus, but had no significant effect on depressive-like behavior. Our findings suggest that a reduction in estrogens in middle-aged females increases hippocampal neurogenesis without any adverse impact on depressive-like behavior; as such, this furthers our understanding of how estrogens modulate neurogenesis, and to the rationale for the utilization of letrozole in the clinical management of breast cancer.
Intestinal Serum Amyloid A suppresses systemic neutrophil activation and bactericidal activity in response to microbiota colonization
Authors: Murdoch Caitlin C. , Espenschied Scott T. , Matty Molly A. , Mueller Olaf , Tobin David M. , Rawls John F. 
Published: October 2018

AbstractThe intestinal microbiota influence diverse aspects of host physiology, including the development and function of myeloid lineages. Numerous host and microbial factors are known to poise neutrophils and other granulocytes for response to pathogens and danger signals, yet the mechanisms by which the intestinal microbiota regulate this process are largely unknown. Using gnotobiotic zebrafish, we identified the immune effector Serum amyloid A (Saa) as one of the most highly induced transcripts in digestive tissues following microbiota colonization. Saa is a conserved secreted protein produced in the intestine and liver with described effects on neutrophilsin vitro, however itsin vivofunctions are poorly defined. We engineered saa mutant zebrafish to test requirements for Saa on innate immunityin vivo. Zebrafish mutant for saa displayed impaired neutrophil responses to wounding but augmented clearance of pathogenic bacteria. At baseline, saa mutants exhibited moderate neutrophilia and altered neutrophil tissue distribution. Molecular and functional analyses of isolated neutrophils revealed that Saa suppresses expression of pro-inflammatory mRNAs and bactericidal activity. Saa’s effects on neutrophils depends on microbiota colonization, suggesting this protein mediates the microbiota’s influence on host innate immunity. To test tissue-specific roles of Saa on neutrophil function, we generated transgenic zebrafish over-expressingsaain the intestine. Transgenic intestinal saa expression was sufficient to partially complement the neutrophil phenotypes insaamutants. These results indicate Saa produced by the intestine in response to microbiota serves as a systemic signal to neutrophils to restrict aberrant activation, decreasing inflammatory tone and bacterial killing potential while simultaneously enhancing their ability to migrate to wounds.
Not your typical “historian”
Authors: Lefevre Adrienne , Walter-Garcia Madison , Hanson Kimberly , Smith-Easley Julia 
Published: October 2018

PurposeIn the incident command system (ICS) structure, response documentation is formally found within the planning section. However, longer term emergency responses have demonstrated the need for a flexible and innovative role that encompasses a variety of activities, including response documentation, communications science, real-time evaluation of major themes, and information management. The paper aims to discuss this issue.Design/methodology/approachThis need can be universally met through the functional role of “Historian,” a term specific to ICS, or in the case of public health response, incident management system (IMS). It should be noted that the Historian role discussed is not related to the academic study of history, but to archiving key successes and challenges during a response. Ideally the Historian should be activated at the start of an emergency response and remain active to capture the overall picture of the response, including internal information, such as lessons learned, response activities, and decision-making processes.FindingsThe Historian compiles details of response activities that inform leadership, donors and external communications products while alleviating pressures on the planning section. The primary, minimum output of an IMS Historian is a response timeline, which notes major internal and external events during a response with emphasis on major themes, lessons learned, and creating a user-friendly interface to display this information (see the list “Abbreviated Example of Hurricane Matthew Response Timeline” in the text).Originality/valueIn a world with competing priorities and ongoing emergencies, the Historian’s role of archiving details of response efforts can help the international public health community to share lessons learned and contribute to lower morbidity and mortality among those affected by emergencies.
Integration of materialism with shopping motivations: motivations based profile of Indian mall shoppers
Authors: Singh Devinder Pal 
Published: October 2018

PurposeThe paper aims to investigate materialism as one of the retail shopping motives along with utilitarian/hedonic motivations in the Indian context. It aims to identify the key shopping motivations, which explain the shopping value in the context of malls. Furthermore, it intends to develop a shopping motivations-based typology of Indian mall shoppers, and to profile the motivational and demographic characteristics of the discerned segments.Design/methodology/approachThe data were collected through a mall intercept survey. The shopping motivations were identified through literature, and established scales were utilised to collect data. Exploratory factor analysis was used to understand the underlying structure of mall shopping motives. Hierarchical and K-means clustering were used to cluster the consumers. Additionally, ANOVA along withpost hoctests were used to explore the mean differences between the various clusters. Cross-tabulation along with the chi-square statistic was used to understand the demographic characteristics of the clusters.FindingsIndian mall shoppers are motivated by hedonistic, materialistic and utilitarian motives. They can be primarily classified into four clusters, namely, balanced shoppers, materialist shoppers, hedonistic shoppers and value shoppers.Research limitations/implicationsKnowledge of distinct consumer segments will aid marketers in formulating marketing and promotional strategies for augmenting mall footfalls.Originality/valueAlthough past research has accentuated hedonic and utilitarian motivations as the primary shopping motives, little research has been conducted to examine materialism as a shopping motive. Rise of materialism in the emerging Indian market has metamorphosed the consumer behaviour. The study examines the utilitarian, hedonistic and materialistic dimensions of shopping and unfolds a typology of mall shoppers. It contributes to the repository of cross-national research on shopping behaviour by unravelling the shopping motivations of Indian consumers.
E-consumer conformity and its impact on consumer attitude
Authors: Khandelwal Utkal , Yadav Seemant Kumar , Tripathi Vikas , Agrawal Vivek 
Published: October 2018

PurposeWith the tremendous increase in the number of netizens, online consumer behavior has become an important issue nowadays. One of the important issues of online consumer behavior is e-consumer conformity. This paper aims to explore prominent factors of e-consumer conformity and its impact on consumer attitude, which helps marketers to understand this new business arena and involve this relationship to enhance their business.Design/methodology/approachFor the purpose, convenience sampling was used with sample size of 510. Offline as well as online mode of survey was applied. The resultant hypotheses (based on the developed model depicting normative and informational consumer conformity effect on attitude) were examined by structured equation modeling.FindingsThe present study presents the different dimensions of e-consumer conformity and its difference in metro and non-metro cities on which marketers have to frame their strategies. The study revealed that the customer attitude is largely affected by others expectations (conformance with others expectations, NCC) rather others knowledge and expertise (ICC). Additionally, the comparison of virtual conformity behavior of metro and non-metro customers was made, and it was found that conformity behavior does not significantly differ in these two contexts.Practical implicationsBusiness saturation in metro cities, infrastructural growth and technological advancement in non-metro cities, companies are moving toward non-metro cities. Due to contextual differences existing between metro and non-metro market, it is difficult to trace the changes in the marketing policies and device the appropriate strategy accordingly for the marketers. In lieu of this, the present study presents the different dimensions of e-consumer conformity and its degree of difference in metro and non-metro cities on which marketers have to frame their strategies.Originality/valueGood number of research has been conducted on consumer conformity in India; however, there is a scarcity of literature in virtual consumer conformity in India. This research is not only establishing the relationship between virtual consumer conformity and consumer attitude but also establishing the difference of virtual consumer conformity in metro and non-metro cities in India.
Error analysis of laser scanner for robust autonomous navigation of mobile robot in diverse illumination environment
Authors: Singh Ravinder , Nagla Kuldeep Singh 
Published: October 2018

Purpose
Modern service robots are designed to work in a complex indoor environment, in which the robot has to interact with the objects in different ambient light intensities (day light, tube light, halogen light and dark ambiance). The variations in sudden ambient light intensities often cause an error in the sensory information of optical sensors like laser scanner, which reduce the reliability of the sensor in applications such as mapping, path planning and object detection of a mobile robot. Laser scanner is an optical sensor, so sensory information depends upon parameters like surface reflectivity, ambient light condition, texture of the targets, etc. The purposes of this research are to investigate and remove the effect of variation in ambient light conditions on the laser scanner to achieve robust autonomous mobile robot navigation.

Design/methodology/approach
The objective of this study is to analyze the effect of ambient light condition (dark ambiance, tube light and halogen bulb) on the accuracy of the laser scanner for the robust autonomous navigation of mobile robot in diverse illumination environments. A proposed AIFA (Adaptive Intensity Filter Algorithm) approach is designed in robot operating system (ROS) and implemented on a mobile robot fitted with laser scanner to reduce the effect of high-intensity ambiance illumination of the environment.

Findings
It has been experimentally found that the variation in the measured distance in dark is more consistent and accurate as compared to the sensory information taken in high-intensity tube light/halogen bulbs and in sunlight. The proposed AIFA approach is implement on a laser scanner fitted on a mobile robot which navigates in the high-intensity ambiance-illuminating complex environment. During autonomous navigation of mobile robot, while implementing the AIFA filter, the proportion of cession with the obstacles is reduce to 23 per cent lesser as compared to conventional approaches.

Originality/value
The proposed AIFA approach reduced the effect of the varying ambient light conditions in the sensory information of laser scanner for the applications such as autonomous navigation, path planning, mapping, etc. in diverse ambiance environment.
Performance evaluation of bearing degradation based on stationary wavelet decomposition and extra trees regression
Authors: Nistane Vinod , Harsha Suraj 
Published: October 2018

Purpose
In rotary machines, the bearing failure is one of the major causes of the breakdown of machinery. The bearing degradation monitoring is a great anxiety for the prevention of bearing failures. This paper aims to present a combination of the stationary wavelet decomposition and extra-trees regression (ETR) for the evaluation of bearing degradation.

Design/methodology/approach
The higher order cumulants features are extracted from the bearing vibration signals by using the stationary wavelet decomposition (stationary wavelet transform [SWT]). The extracted features are then subjected to the ETR for obtaining normal and failure state. A dominance level curve build using the dissimilarity data of test object and retained as health degradation indicator for the evaluation of bearing health.

Findings
Experiment conducts to verify and assess the effectiveness of ETR for the evaluation of performance of bearing degradation. To justify the preeminence of recommended approach, it is compared with the performance of random forest regression and multi-layer perceptron regression.

Originality/value
The experimental results indicated that the presently adopted method shows better performance for detecting the degradation more accurately at early stage. Furthermore, the diagnostics and prognostics have been getting much attention in the field of vibration, and it plays a significant role to avoid accidents.
A three-dimensional active zero state PWM for common-mode voltage reduction of a three-phase four-leg voltage-source inverter
Authors: Hasanzad Fardin , Rastegar Hasan , Pichan Mohammad 
Published: October 2018

Purpose
This paper aims to investigate the common-mode voltage (CMV) issue of a three-phase four-leg voltage-source inverter. A new space vector modulation method, named as three-dimensional active zero state Pulse-width modulation (PWM) (3-D AZSPWM), is proposed to reduce the CMV level.

Design/methodology/approach
PWM is a general method to generate the switching signals of the power converters in order to obtain high-quality output voltages. However, the CMV produced by PWM methods has become a serious problem. 3-D AZSPWM is proposed to solve this issue. In 3-D AZSPWM, instead of using zero voltage vectors with high CMV level, appropriate complementary non-zero vectors are introduced to synthesize reference vector. The proposed method is classified into four types of AZSPWM1(a), AZSPWM1(b), AZSPWM2(a) and AZSPWM2(b) based on different complementary vectors chosen for each type. An extend software simulation using MATLAB/Simulink is performed to verify the superior performance of the proposed methods.

Findings
Compared to other reduced CMV methods, the proposed method not only reduces the CMV but also retains the positive characteristics of the three-dimensional classical space vector PWM (3-D CSVPWM).

Originality/value
The proposed method does not suffer from linear modulation region limitation and also does not impose additional switching loss. Furthermore, calculated output voltage harmonic distortion factor illuminates acceptable quality of output voltage produced by the proposed method.
A Stand-Alone Hybrid Photovoltaic, Fuel Cell and Battery System
Authors: Qandil Mohammad D. , Amano Ryoichi S. , Abbas Ahmad I. 
Published: October 2018

The main purpose of this study is to investigate the feasibility of using a hybrid photovoltaic (PV), fuel cell (FC) and battery system to power different load cases, which are intended to be used at Al-Zarqa governorate in Jordan. All aspects related to the potentials of solar energy in Al-Hashemeya area were studied. The irradiation levels were carefully identified and analyzed, and found to range between 4.1–7.6 kWh/m2/day; these values represented an excellent opportunity for the photovoltaic solar system. Various renewable and non-renewable energy sources, energy storage methods and their applicability regarding cost and performance are discussed, in which HOMER (Hybrid Optimization for Electric Renewable) software is used as a sizing and optimization tool. Different scenarios with Photovoltaic slope, diesel price, and fuel cell cost were done. A remote residential building, school and factory having an energy consumption of 31 kWh/day with a peak of 5.3 kW, 529 kWh/day with a maximum of 123 kW and 608 kWh/day with a maximum of 67 kW respectively, were considered as the case studies’ loads. It was found that the PV-diesel generator system with battery is the most suitable solution at present for the residential building case, while the PV-FC-diesel generator-electrolyzer hybrid system with battery suites best both the school and factory cases.
The load profile for each case was found to have a substantial effect on how the system’s power produced a scheme. For the residential building, PV panels contributed by about 75% of the total power production, the contribution increased for the school case study to 96% and dropped for the factory case to almost 50%.
Modeling, Development and Preliminary Testing of a 2 MW PEM Fuel Cell Plant Fueled With Hydrogen From a Chlor-Alkali Industry
Authors: Campanari Stefano , Guandalini Giulio , Coolegem Jorg , ten Have Jan , Hayes Patrick , Pichel A. H. 
Published: October 2018

The chlor-alkali industry produces significant amounts of hydrogen as byproduct and an interesting benefit can be obtained by feeding hydrogen to a PEM fuel cell unit, whose electricity and heat production can cover part of the chemical plant consumptions. The estimated potential of such application is up to 1100 MWel installed in the sole China, a country featuring a large presence of chlor-alkali plants.
This work presents the modeling, development and first experimental results from field tests of a 2 MW PEM fuel cell power plant, built within the European project DEMCOPEM-2MW and installed in Yingkou, China as the current world’s largest PEM fuel cell installation. After a preliminary introduction to the market potential of PEM Fuel cells in the chlor-alkali industry, it is first discussed an overview of project’s MEA and fuel cell development for long life stationary applications, focusing on the design-for-manufacture process and the high-volume manufacturing route developed for the 2MW plant.
The work then discusses the modeling of the power plant, including a specific lumped model predicting FC stack behavior as a function of inlet streams conditions and power set point, according to regressed polarization curves. Cells performance decay vs. lifetime reflects long-term stack test data, aiming to evidence the impact on overall energy balances and efficiency of the progression of lifetime. BOP is modeled to simulate auxiliaries consumption, pressure drops and components operating conditions. The model allows studying different operational strategies that maintain the power production during lifetime, minimizing efficiency losses; as well as to investigate the optimized operating setpoint of the plant at full load and during part-load operation.
The last section of the paper discusses the experimental results, through a complete analysis of the plant performance after plant startup, including energy and mass balances and allowing to validate the model. Cumulated indicators over the first nine months of operations regarding energy production, hydrogen consumption and efficiency are also discussed.
Comprehensive Parametric Analysis and Sensitivity Study of Latent Heat Thermal Energy Storage System in Concentrated Solar Power Plants
Authors: Chirino Hermes , Xu Ben 
Published: October 2018

Compared to Solar Photovoltaics (PV), Concentrated Solar Power (CSP) can store the excess solar thermal energy, extend the power generation at night and cloudy days, and levelize the mismatch between energy demand and supply. To make CSP competitive, Thermal Energy Storage (TES) system filled with phase change material (PCM) is a promising indirect energy storage technique, compared to the TES system using concrete or river rocks. It is of great interests to solar thermal community to apply the latent heat thermal energy storage (LHTES) system for large scale CSP application, because PCMs can store more thermal energy due to the latent heat during the melting/freezing process. Therefore, a comprehensive parametric analysis of LHTES system is necessary in order to improve its systematic performance, since LHTES system has a relatively low energy storage efficiency compared to TES systems using sensible materials.
In this study, an 11-dimensionless-parameter space of LHTES system was developed, by considering only the technical constraints (materials properties and operation parameters), instead of economic constraints. Then the parametric analysis was performed based on a 1D enthalpy-based transient model, and the energy storage efficiency was used as the objective function to minimize the number of variables in the parameter space. It was found that Stanton number (St), PCM radius (r), and void fraction (ε) are the three most important ones. The sensitivity study was conducted then based on the three dimensionless-parameter space which will significantly influence the system performance. The results of this study make LHTES system competitive with TES system using sensible materials in terms of energy storage efficiency.
Economic Modelling and Evaluation of a Repurposed Gas Turbine Engine
Authors: Rowlands David Olusina , Savill Mark 
Published: October 2018

In this paper, an economic model is presented for the evaluation of gas turbine total productive life cost and profitability. The model utilizes input from gas turbine engine performance, emissions and lifing models to provide quantitative information on the economic implications of an investigated system or investment option.
In this study, the proposed model is used to conduct economic analysis on a turbojet engine, repurposed for alternative profitable use in electrical power generation. Results from the analysis are compared against competitor units to determine the models economic feasibility, benefits and limitations over competitors. Results obtained from the investigation reveal that the repurposed unit is economically feasible and favours profitability at minimal investment costs, with least burden on consumers. At a discount rate of 2.5%, investing in the repurposed engine model offers an investment base 13% lower, NPV 6% higher and an LCOE 24% higher in simple cycle than in combined cycle operation.