bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain Maturation in Neonatal Rodents Is Impeded by Sevoflurane Anesthesia
Authors: Makaryus Rany , Lee Hedok , Feng Tian , Park June-Hee , Nedergaard Maiken , Jacob Zvi , Enikolopov Grigori , Benveniste Helene 
Published: July 2015

AbstractAbstract
Sevoflurane reduced the increase in N-acetylaspartate (NAA) that is apparent in the normal brain from postnatal day (PND) 8 to PND9. The relevant reduction in NAA was not observed in rodents exposed to sevoflurane at PND15. Sevoflurane increased neuronal apoptosis when exposure occurred at PND7 but not at PND15. Apoptosis and reduction in NAA were correlated. The data indicate that magnetic resonance spectroscopy can detect subtle changes in brain metabolism on anesthetic exposure. Importantly, magnetic resonance spectroscopy can be used to noninvasively evaluate anesthetic neurotoxicity in the developing brain.

Background:
A wealth of data shows neuronal demise after general anesthesia in the very young rodent brain. Herein, the authors apply proton magnetic resonance spectroscopy (1HMRS), testing the hypothesis that neurotoxic exposure during peak synaptogenesis can be tracked via changes in neuronal metabolites.

Methods:
1HMRS spectra were acquired in the brain (thalamus) of neonatal rat pups 24 and 48 h after sevoflurane exposure on postnatal day (PND) 7 and 15 and in unexposed, sham controls. A repeated measure ANOVA was performed to examine whether changes in metabolites were different between exposed and unexposed groups. Sevoflurane-induced neurotoxicity on PND7 was confirmed by immunohistochemistry.

Results:
In unexposed PND7 pups (N = 21), concentration of N-acetylaspartate (NAA; [NAA]) increased by 16% from PND8 to PND9, whereas in exposed PND7 pups (N = 19), [NAA] did not change and concentration of glycerophosphorylcholine and phosphorylcholine ([GPC + PCh]) decreased by 25%. In PND15 rats, [NAA] increased from PND16 to PND17 for both the exposed (N = 14) and the unexposed (N = 16) groups. Two-way ANOVA for PND7 pups demonstrated that changes over time observed in [NAA] (P = 0.031) and [GPC + PCh] (P = 0.024) were different between those two groups.

Conclusions:
The authors demonstrated that normal [NAA] increase from PND8 to PND9 was impeded in sevoflurane-exposed rats when exposed at PND7; however, not impeded when exposed on PND15. Furthermore, the authors showed that noninvasive 1HMRS is sufficiently sensitive to detect subtle differences in developmental time trajectory of [NAA]. This is potentially clinically relevant because 1HMRS can be applied across species and may be useful in providing evidence of neurotoxicity in the human neonatal brain.
Introducer Development for Coronary Sinus Access from Parasternal Mediastinotomy
Authors: Spotnitz Henry M. , Yeager Keith J. , Cabreriza Santos E. , Vunjak-Novakovic Gordana , Wang Daniel Y. , Pearson Gregory D.N. 
Published: July 2015

Objective Right parasternal mediastinotomy with right atriotomy has been used clinically for pacemaker insertion. A similar approach might facilitate access to the coronary sinus for biventricular pacing and other manipulations when more conventional approaches are not feasible. The primary barrier to this is lack of appropriate introducers and techniques. Methods Anatomically derived introducers were developed in 2 anesthetized domestic pigs using data from computerized axial thoracic tomography. Each digitized tomogram defined a unique introducer shape and was constructed using 3-dimensional (3D) modeling software and printing. Each parent pig then underwent surgery demonstrating coronary sinus lead insertion, using its custom-configured introducer. Next, with institutional review board approval, 65 patients were identified who had undergone conventional endocardial coronary sinus lead insertion followed by thoracic scanning. These tomograms were used to design appropriately curved introducers for human anatomy. Results Fifty-one introducer paths were defined following anatomic pathways and avoiding bends inconsistent with materials used for commercial peel-away introducers. Each path was defined by a bend and distance toward the coronary sinus ostium and a hook and twist out of plane to align with the local orientation of the coronary sinus. The average dimensions were the following: distance, 67 mm; bend angle, 47 degrees; hook angle, 39 degrees; and twist angle, 20 degrees. A prototype cannula was tested for fit in a fresh frozen postmortem human specimen. Conclusions Parasternal mediastinotomy access to the coronary sinus for cardiac resynchronization, mitral annuloplasty, and instrumentation is feasible. Human computerized tomographic scans can be used to define curvatures and dimensions for marketed introducers.
Multi-stage and multi-attribute risk group decision-making method based on grey information
Authors: Luo Dang , Li Yuwen 
Published: July 2015

Purpose
– For the multi-stage and multi-attribute risk group decision-making problem, the attribute weight, decision-maker weight and time weight are unknown. The attribute value is grey information. The purpose of this paper is to discuss a decision-making method.

Design/methodology/approach
– Analysis techniques and the theory about distance degree are used to determine the decision-maker weight within single stage. Grey relational analysis method is applied to determine the attribute weight. Moreover, the uncertainty of time weight and the proximity between the attribute value and positive/negative value are taken into account. A multi-objective optimization model is established based on maximum entropy to obtain time weights, so the comprehensive value is determined.

Findings
– An example shows the effectiveness and practicability.

Originality/value
– For a decision-making process, the results are different in different periods. This method is computationally very simple, easily comprehensible.
A Fourier residual modified Nash nonlinear grey Bernoulli model for forecasting the international trade of Chinese high-tech products
Authors: Wang Zhengxin , Pei Lingling 
Published: July 2015

Purpose
– Although the Nash nonlinear grey Bernoulli model (NNGBM(1, 1)) is incomparable with respect to its flexibility over traditional grey models, errors are still inevitable in forecasting. The purpose of this paper is to propose a Fourier residual modified Nash nonlinear grey Bernoulli model (FNNGBM(1, 1)) and use it to forecast the nonlinear time series of the international trade of Chinese high-tech products.

Design/methodology/approach
– A Fourier series is used to modify the forecasting residual of the NNGBM(1, 1) model, so as to improve its forecasting ability. The parameters optimization of FNNGBM(1, 1) is formulated as a combinatorial optimization problem and is solved collectively using the concept of Nash equilibrium.

Findings
– The simulation and practical application to fluctuation data both prove that FNNGBM(1, 1) could offer a more precise forecast than NNGBM(1, 1) and the Fourier residual GM(1, 1) (FGM(1, 1)). The import/export data of Chinese high-tech products will maintain rapid growth, with corresponding trade balance enlargement; however, there will be a concomitant decrease in the trade specialization coefficient.

Research limitations/implications
– This study is deliberately general in its scope and outlook: its focus is mainly on the overall condition of Chinese high-tech products trade. Future research is recommended to analyze specific industrial trade sectors and extraneous influencing factors.

Originality/value
– An effective method is proposed to enhance the accuracy of NNGBM(1, 1) model in forecasting a small sample, nonlinear time series.
Grey systems theory in economics – bibliometric analysis and applications’ overview
Authors: Camelia Delcea 
Published: July 2015

Purpose
– The purpose of this paper is to synthesize the review of the existing literature attached to the grey economic system theory and applications and aims to offer a comprehensive picture of the contribution brought by the researchers to this particular field. Also, the paper underlines the main research areas within the grey economic theory and applications and serves as an informative summary kit for future research works and research directions.

Design/methodology/approach
– For appreciating the scientific progress made since the grey systems theory has been initiated to the present, with an accent on the literature dedicated to the economic field, a bibliometrics analysis has been conducted. The Perish or Publish software was used for extracting the needed data from Google Scholar for the entire period since the appearance of grey systems to now-a-days. In addition, an ISI Web of Science (WoS) search has been performed for extracting the grey economic papers. As the main focus is on the economic subject area of the grey systems, only the papers related to this field have been selected.

Findings
– The total number of grey economic paper from both Google Scholar and ISI WoS database, the number of authors, some citation metrics, H-index, authors’ provenience country, papers’ language, etc., have been presented and analysed. Also, a list with the most cited papers in the grey economic relational analysis, grey economic prediction models and grey economic incidence is putted forward.

Practical implications
– Through the bibliometric analysis on grey economic papers written over time, a qualitative analysis was performed on this field in order to underline the main research direction, to analyse what has been done in this field and to determine which can be the next research directions that can emerge from here.

Originality/value
– The paper succeeds in enlarging the view regarding the usage of grey systems theory in the economic field, offering a suitable analysis on the considered areas. Even though bibliometrics analysis have been conducted on the grey systems theory field, a grey economic bibliometric analysis has not been done yet, to the authors’ knowledge. Therefore, a synthesized of the existing literature attached to the grey economic system theory and applications is presented in order to offer a more comprehensive picture of the contribution brought by the researchers to this particular field.
An analysis of intermediate inputs influencing the gross products of agriculture and its composition based on grey incidence analysis
Authors: Zhan Huibin , Liu Sifeng 
Published: July 2015

Purpose
– Taking Huangshan City as an example, the purpose of this paper is to explore the relationship between gross products of agriculture (GPA), its main composition as well as their influential intermediate inputs, followed by some suggestion, in order to optimize agricultural industrial structure and distribute the ratio of various inputs in agriculture, farming, forestry, animal husbandry and fishery, so as to improve GPA of Huangshan City.

Design/methodology/approach
– This paper is characterized by an exploratory research by using the grey incidence analysis based on the grey systems theory initiated by Chinese professor Julong Deng. The original data processed in the model are quoted from the Statistical Yearbook of Huangshan City.

Findings
– This paper draws some important conclusions. First, in terms of large, intermediate inputs in animal husbandry production and fishery production are two important aspects which affect the growth potentiality of agricultural gross products in Huangshan City. This also reflects that the development potentialities of fishery and animal husbandry are larger. Second, the level of agricultural modernization is relatively low in Huangshan City, the growth of agricultural output relies on a large number of inputs such as fertilizers, pesticides, but it also reflects the agriculture production system has huge potentiality to increase in Huangshan City from the side. Third, agriculture producer services as a whole is still relatively weak in Huangshan City. It is difficult to adapt to the development of modern agriculture and agricultural modernization. Finally, the results show that intermediate inputs have different influence on farming, forestry, animal husbandry and fishery.

Originality/value
– Suggestion are also proposed to the related policy makers as follows: to vigorously develop animal husbandry and fishery in order to optimize agricultural industrial structure of Huangshan City, to improve agricultural modernization level, to speed up the service support system construction of agriculture production, to optimize the allocation of inputs in farming, forestry, animal husbandry and fishery reasonably.
Grey system based novel approach for stock market forecasting
Authors: Rathnayaka R.M. Kapila Tharanga , Seneviratna D.M.K.N , Jianguo Wei 
Published: July 2015

Purpose
– Making decisions in finance have been regarded as one of the biggest challenges in the modern economy today; especially, analysing and forecasting unstable data patterns with limited sample observations under the numerous economic policies and reforms. The purpose of this paper is to propose suitable forecasting approach based on grey methods in short-term predictions.

Design/methodology/approach
– High volatile fluctuations with instability patterns are the common phenomenon in the Colombo Stock Exchange (CSE), Sri Lanka. As a subset of the literature, very few studies have been focused to find the short-term forecastings in CSE. So, the current study mainly attempted to understand the trends and suitable forecasting model in order to predict the future behaviours in CSE during the period from October 2014 to March 2015. As a result of non-stationary behavioural patterns over the period of time, the grey operational models namely GM(1,1), GM(2,1), grey Verhulst and non-linear grey Bernoulli model were used as a comparison purpose.

Findings
– The results disclosed that, grey prediction models generate smaller forecasting errors than traditional time series approach for limited data forecastings.

Practical implications
– Finally, the authors strongly believed that, it could be better to use the improved grey hybrid methodology algorithms in real world model approaches.

Originality/value
– However, for the large sample of data forecasting under the normality assumptions, the traditional time series methodologies are more suitable than grey methodologies; especially GM(1,1) give some dramatically unsuccessful results than auto regressive intergrated moving average in model pre-post stage.
The hybrid intelligent systems design using grey systems theory
Authors: Emil Scarlat , Mărăcine Virginia 
Published: July 2015

Purpose– The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems.Design/methodology/approach– Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages.Findings– Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches.Originality/value– The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.
Grey incidence between KPIs and hospital performance
Authors: Bradea Ioana , Mărăcine Virginia 
Published: July 2015

Purpose
– Performance indicates how well the activities, operations and business processes of an enterprise are performed. In health care, performance illustrates the quality of medical services and targets the strategic objectives, the efficiency and effectiveness and the obtaining of the desired financial results. In economic analysis, the key performance indicators (KPIs) offers real, relevant and accurate information regarding the performance, using analysis and diagnosis techniques. The purpose of this paper is to discuss grey systems theory in order to bridge the KPIs and the hospital’s performance.

Design/methodology/approach
– Using the grey systems theory, the impact of seven selected KPIs (the beds utilization rate, the average length of hospitalization, the average cost of hospitalization/day, the proportion of physicians in total staff, the nosocomial infection rate, the death rate and the diagnostic concordance) on the hospital’s turnover is determined.

Findings
– By analyzing the grey incidence between turnover and several KPIs, for a period of six years, it has been concluded that the greatest impact on performance has the diagnostic concordance and the percent of the physicians in the total staff, followed by the nosocomial infection rate, the average bed utilization rate and the death rate.

Research limitations/implications
– The considered case study should be extended by including a greater number of hospitals into the analysis.

Originality/value
– The usage of the grey systems theory in an uncertain and limited information field such as the medical one, is a premier in this field. According to the grey incidence analysis results, the performance of health care institutions depends mainly on the quality of medical staff (that influence the diagnostic concordance, the nosocomial infection rate and the death rate) and on the management ability to attract competent and well-trained physicians, which can conduct in a new approach that should be considered by the hospitals’ managerial staff.
Where are the Europeans? A longitudinal analysis of the world’s largest TMT companies
Authors: Curwen Peter , Sadowski Bert , Whalley Jason 
Published: July 2015

Purpose– This paper aims to identify the number of European companies among the world’s largest telecommunication, media and technology (TMT) companies. Through this, industry trends will be discerned and light shed on whether European companies are losing out to their rivals based in the USA and Asia in relation to the new highly technological economy that is emerging.Design/methodology/approach– The paper begins by outlining the context for the study before detailing the data sources used in the analysis of the world’s largest TMT companies. The data are drawn from successive annual lists of the world’s largest companies published by theFinancial Times.Findings– The paper highlights the limited European presence among the world’s largest TMT companies. A significant proportion of these companies provide telecommunication services.Research limitations/implications– The paper draws on annual lists compiled by theFinancial Times. The categorisation adopted in these lists changes over time and does not facilitate the identification of TMT operations in companies where the main activities are in other sectors.Practical implications– There is a need for more data to be available in the public domain. One aspect of this relates to the need to extend the analysis to include smaller TMT companies, while another is the need for more detailed information regarding companies operating in more than one sector.Originality/value– The paper extends existing research into structural change within the TMT sector by focussing on Europe. A longitudinal approach is adopted, with the companies uniquely divided into six lines of business.
An acceptance model for smart watches
Authors: Kim Ki Joon , Shin Dong-Hee 
Published: July 2015

Purpose
– The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs.

Design/methodology/approach
– An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM.

Findings
– The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively.

Originality/value
– Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.
Editorial
Authors: Holt Gary D. , Akintoye Akin , Davis Peadar T. 
Published: July 2015

Purpose
– This paper aims to analyse the characteristics of papers published in the Journal of Financial Management of Property and Construction (JFMPC) for the period 2010-2015 (Volumes 15.1-20.1 inclusive), to consider characteristics and recent trends among said publications and to discuss possible future directions in the subject field.

Design/methodology/approach
– Descriptive statistics and qualitative content analysis via word count frequencies.

Findings
– Eighty papers were published by a combined group of 216 authors. Lead authors were from a total of 50 academic and five private organisations. Sixty-seven papers were multi-authored, 10 of which were multi-national. Eighty-six papers were classified as research papers, 5 per cent were conceptual, 4 per cent general review, 2.5 per cent technical, 1.3 per cent case study and 1.3 per cent viewpoint. There were 46,251 downloads of these papers, which when time-adjusted, represented an average of 64 downloads per paper, per issue of availability on the Web. Most popular keywords were “construction”, “industry”, “project” and “private”. Among all keywords, the most popular themes were countries, organisations, miscellaneous and business.

Research limitations/implications
– Analysis highlights previous trends and possible future research themes.

Originality/value
– The findings are unique to JFMPC and therefore novel/new.