bluuebunny/crossref_metadata_2025_split huggingface dataset:
Homo sapiens exhibit a distinct pattern of CNV genes regulation: an important role of miRNAs and SNPs in expression plasticity
Authors: Dweep Harsh , Kubikova Nada , Gretz Norbert , Voskarides Konstantinos , Felekkis Kyriacos 
Published: July 2015

AbstractGene expression regulation is a complex and highly organized process involving a variety of genomic factors. It is widely accepted that differences in gene expression can contribute to the phenotypic variability between species and that their interpretation can aid in the understanding of the physiologic variability. CNVs and miRNAs are two major players in the regulation of expression plasticity and may be responsible for the unique phenotypic characteristics observed in different lineages. We have previously demonstrated that a close interaction between these two genomic elements may have contributed to the regulation of gene expression during evolution. This work presents the molecular interactions between CNV and non CNV genes with miRNAs and other genomic elements in eight different species. A comprehensive analysis of these interactions indicates a unique nature of human CNV genes regulation as compared to other species. By using genes with short 3′ UTR that abolish the “canonical” miRNA-dependent regulation, as a model, we demonstrate a distinct and tight regulation of human genes that might explain some of the unique features of human physiology. In addition, comparison of gene expression regulation between species indicated that there is a significant difference between humans and mice possibly questioning the effectiveness of the latest as experimental models of human diseases.
Reformation Capability of Short-Range Order and Their Medium-Range Connections Regulates Deformability of Bulk Metallic Glasses
Authors: Li Congling , Wei Yujie , Shi Xinghua 
Published: July 2015

AbstractMetallic glasses (MGs) typically have high yield strength while low ductility and the latter is commonly considered as the Achilles’ heel of MGs. Elucidate the mechanism for such low ductility becomes the research focus of this field. With molecular level simulations, we show the degree of short-range order (SRO) of atomic structure for brittle Fe-based glass decreases dramatically during the stretch, while mild change occurs in ductile Zr-based glass. The reformation capability for SRO and their medium-range connections is found to be the primary characteristics to differentiate the deformability between the two metallic glasses. We suspect that, in addition to the strength of networks formed by SRO structure, the reformation capability to reform SRO networks also plays the key role in regulating the ductility in metallic glasses. Our study provides important insights into the understanding about the mechanisms accounting for ductility or brittleness of bulk metallic glasses.
Analysis of the “naming game” with learning errors in communications
Authors: Lou Yang , Chen Guanrong 
Published: July 2015

AbstractNaming game simulates the process of naming an objective by a population of agents organized in a certain communication network. By pair-wise iterative interactions, the population reaches consensus asymptotically. We study naming game with communication errors during pair-wise conversations, with error rates in a uniform probability distribution. First, a model of naming game with learning errors in communications (NGLE) is proposed. Then, a strategy for agents to prevent learning errors is suggested. To that end, three typical topologies of communication networks, namely random-graph, small-world and scale-free networks, are employed to investigate the effects of various learning errors. Simulation results on these models show that 1) learning errors slightly affect the convergence speed but distinctively increase the requirement for memory of each agent during lexicon propagation; 2) the maximum number of different words held by the population increases linearly as the error rate increases; 3) without applying any strategy to eliminate learning errors, there is a threshold of the learning errors which impairs the convergence. The new findings may help to better understand the role of learning errors in naming game as well as in human language development from a network science perspective.
Tuning the Emission of Cationic Iridium (III) Complexes Towards the Red Through Methoxy Substitution of the Cyclometalating Ligand
Authors: Hasan Kamrul , Bansal Ashu K. , Samuel Ifor D.W. , Roldán-Carmona Cristina , Bolink Henk J. , Zysman-Colman Eli 
Published: July 2015

AbstractThe synthesis, characterization and evaluation in solid-state devices of a series of 8 cationic iridium complexes bearing different numbers of methoxy groups on the cyclometallating ligands are reported. The optoelectronic characterization showed a dramatic red shift in the absorption and the emission and a reduction of the electrochemical gap of the complexes when a methoxy group was introduced para to the Ir-C bond. The addition of a second or third methoxy group did not lead to a significant further red shift in these spectra. Emission maxima over the series ranged from 595 to 730 nm. All complexes possessing a motif with a methoxy group at the 3-position of the cyclometalating ligands showed very short emission lifetimes and poor photoluminescence quantum yields whereas complexes having a methoxy group at the 4-position were slightly blue shifted compared to the unsubstituted parent complexes, resulting from the inductively electron withdrawing nature of this directing group on the Ir-C bond. Light-emitting electrochemical cells were fabricated and evaluated. These deep red emitters generally showed poor performance with electroluminescence mirroring photoluminescence. DFT calculations accurately modelled the observed photophysical and electrochemical behavior of the complexes and point to an emission from a mixed charge transfer state.
User experience with electric vehicles while driving in a critical range situation – a qualitative approach
Authors: Rauh Nadine , Franke Thomas , Krems Josef F. 
Published: July 2015

A frequently discussed phenomenon within the context of battery electric vehicles (BEVs) is range anxiety. Range anxiety is defined as a domain‐specific form of psychological stress, which can occur in a critical range situation. The objective of the present study is to better understand user experience in critical range situations (i.e. range anxiety). After driving a BEV in a critical range situation on an unaccompanied trip of 94 km length, 68 participants were asked about experienced stress‐inducing and stress‐reducing factors, as well as ideas for additional stress‐reducing strategies. The available range safety buffer and the uncertainty regarding the energy consumption of the BEV could be identified as central factors related to user experience in critical range situations. The obtained results can be utilised to formulate design recommendations to help future BEV users to better handle critical range situations. Installing displays which allow for accurate tracking of the range safety buffer or providing knowledge to reduce uncertainty might be a good starting point for improving user experience.
Antagonists of the TMEM16A Calcium-activated Chloride Channel Modulate Airway Smooth Muscle Tone and Intracellular Calcium
Authors: Danielsson Jennifer , Perez-Zoghbi Jose , Bernstein Kyra , Barajas Matthew B. , Zhang Yi , Kumar Satish , Sharma Pawan K. , Gallos George , Emala Charles W. 
Published: July 2015

AbstractAbstract
Four different TMEM16A antagonists had significant bronchorelaxant properties in human airway smooth muscle, guinea pig tracheal rings, or mouse peripheral airways. In particular, benzbromarone relaxed both central and peripheral airways, worked synergistically with β agonists possibly through hyperpolarization of the airway smooth muscle cell and attenuation of calcium flux at the both plasma membrane and sarcoplasmic reticulum.
Supplemental Digital Content is available in the text.

Background:
Perioperative bronchospasm refractory to β agonists continues to challenge anesthesiologists and intensivists. The TMEM16A calcium-activated chloride channel modulates airway smooth muscle (ASM) contraction. The authors hypothesized that TMEM16A antagonists would relax ASM contraction by modulating membrane potential and calcium flux.

Methods:
Human ASM, guinea pig tracheal rings, or mouse peripheral airways were contracted with acetylcholine or leukotriene D4 and then treated with the TMEM16A antagonists: benzbromarone, T16Ainh-A01, N-((4-methoxy)-2-naphthyl)-5-nitroanthranilic acid, or B25. In separate studies, guinea pig tracheal rings were contracted with acetylcholine and then exposed to increasing concentrations of isoproterenol (0.01 nM to 10 μM) ± benzbromarone. Plasma membrane potential and intracellular calcium concentrations were measured in human ASM cells.

Results:
Benzbromarone was the most potent TMEM16A antagonist tested for relaxing an acetylcholine -induced contraction in guinea pig tracheal rings (n = 6). Further studies were carried out to investigate the clinical utility of benzbromarone. In human ASM, benzbromarone relaxed either an acetylcholine- or a leukotriene D4–induced contraction (n = 8). Benzbromarone was also effective in relaxing peripheral airways (n = 9) and potentiating relaxation by β agonists (n = 5 to 10). In cellular mechanistic studies, benzbromarone hyperpolarized human ASM cells (n = 9 to 12) and attenuated intracellular calcium flux from both the plasma membrane and the sarcoplasmic reticulum (n = 6 to 12).

Conclusion:
TMEM16A antagonists work synergistically with β agonists and through a novel pathway of interrupting ion flux at both the plasma membrane and sarcoplasmic reticulum to acutely relax human ASM.
Impact Assessment of Perioperative Point-of-Care Ultrasound Training on Anesthesiology Residents
Authors: Ramsingh Davinder , Rinehart Joseph , Kain Zeev , Strom Suzanne , Canales Cecilia , Alexander Brenton , Capatina Adriana , Ma Michael , Le Khanh-Van , Cannesson Maxime 
Published: July 2015

AbstractAbstract
This study highlights that a novel “whole-body” point-of-care ultrasound examination (Focused periOperative Risk Evaluation Sonography Involving Gastroabdominal Hemodynamic and Transthoracic ultrasound) can be taught to anesthesiology residents using a model/simulation-guided curriculum, and with this appropriate training, one can impact clinical management of patients in the perioperative setting.
Supplemental Digital Content is available in the text.

Background:
The perioperative surgical home model highlights the need for trainees to include modalities that are focused on the entire perioperative experience. The focus of this study was to design, introduce, and evaluate the integration of a whole-body point-of-care (POC) ultrasound curriculum (Focused periOperative Risk Evaluation Sonography Involving Gastroabdominal Hemodynamic and Transthoracic ultrasound) into residency training.

Methods:
For 2 yr, anesthesiology residents (n = 42) received lectures using a model/simulation design and half were also randomly assigned to receive pathology assessment training. Posttraining performance was assessed through Kirkpatrick levels 1 to 4 outcomes based on the resident satisfaction surveys, multiple-choice tests, pathologic image evaluation, human model testing, and assessment of clinical impact via review of clinical examination data.

Results:
Evaluation of the curriculum demonstrated high satisfaction scores (n = 30), improved content test scores (n = 37) for all tested categories (48 ± 16 to 69 ± 17%, P < 0.002), and improvement on human model examinations. Residents randomized to receive pathology training (n = 18) also showed higher scores compared with those who did not (n = 19) (9.1 ± 2.5 vs. 17.4 ± 3.1, P < 0.05). Clinical examinations performed in the organization after the study (n = 224) showed that POC ultrasound affected clinical management at a rate of 76% and detected new pathology at a rate of 31%.

Conclusions:
Results suggest that a whole-body POC ultrasound curriculum can be effectively taught to anesthesiology residents and that this training may provide clinical benefit. These results should be evaluated within the context of the perioperative surgical home.
Lactate Level Is More Significant Than Carboxihemoglobin Level in Determining Prognosis of Carbon Monoxide Intoxication of Childhood
Authors: Damlapinar Rukiye , Arikan Fatma Inci , Sahin Sanliay , Dallar Yildiz 
Published: July 2015

Objectives
To evaluate the demographics, risk factors, correlation between carbon monoxide (CO) level and clinical findings, and laboratory findings determining the prognosis and ischemic myocardial injury due to CO intoxication in patients admitted to pediatric emergency department.

Materials and Methods
Six hundred seventy-four patients were admitted with CO intoxication between May 2007 and October 2009, 288 patients who required hospitalization were enrolled into the study prospectively.

Results
Incidentally, 144 (50%) of the patients were evenly distributed as girls and boys. Their age ranged between 7 months and 17 years; mean age was 8.6 years. The mean CO level was 26.8. The high levels were detected regarding lactate in 199 (90.1%) patients, creatine kinase (CK)-MB in 130 (45.1%) patients, CK in 80 (27.8%) patients, cardiac Troponin I in 35 (17.2%) patients, and lactate dehydrogenase in 34 (15.7%) patients. There was a significant positive correlation when symptoms like syncope, loss of consciousness, and convulsion were compared with carboxyhemoglobin, lactate, CK, CK-MB, and lactate dehydrogenase levels (P < 0.05), whereas there was no correlation when compared with cardiac Troponin I (P > 0.05). To determine the accuracy of predicting severe CO intoxication, sensitivity of 52.6% and specificity of 85.7% were found in receiver operating characteristic analysis when the lactate level was 3.85 mmol/L, whereas sensitivity of 70.5% and specificity of 59.6% were found when the carboxyhemoglobin level was 27.1%. One hundred forty-six (%50.8) of the patients had normal electrocardiographic findings, whereas 135 (46.8%) had sinus tachycardia, 6 (2%) had right branch block, and 1 (0.34%) had atrioventricular block. In 34 patients who had high CK-MB and Troponin I levels, only sinus tachycardia was detected in electrocardiography, and there were no ST changes. Hyperbaric oxygen was necessary in 2 patients admitted with coma.

Conclusions
In children admitted because of CO intoxication, the blood lactate levels may give more accurate information in terms of loss of consciousness and convulsion, lactate level could be taken as a measure of severe poisoning and may help to decide for hyperbaric oxygen treatment.
Transactional dynamics in European R & D networks: an assessment of Eureka
Authors: Fischer Bruno Brandão , Molero José 
Published: July 2015

Purpose– The purpose of this paper is to verify the impacts of the transaction costs rationale on economic agents’ innovative results when they engage in European R & D networks, supplying both firms and policymakers with empirical support for improved decision making toward economic competitiveness and construction of the European research area. Furthermore, unlike many transaction cost economics assessments, the authors evaluate the existence of transaction costs following a dynamic framework of analysis (instead of using solelyex antegovernance choice as a driver of inter-firm “friction” management), offering a novel perspective on these phenomena.Design/methodology/approach– Data consist of firm-level information from Eureka’s Final Reports (1995-2006) for Spanish, Italian, French, British and German firms. Empirical assessments were performed through a two-step approach of direct and indirect effects of network management and potential sources of disturbances. Ordinal regressions were applied in order to identify transaction costs’ relevance as drivers of firms’ technological and commercial outcomes, as well as on managerial quality of alliances. Statistical controls include microeconomic and project-specific variables.Findings– Results highlight the role played by transactional aspects as drivers of companies’ outcomes and managerial complexity. Furthermore, the authors find robust evidence that formalex antegovernance structures are incapable of satisfactorily addressing dynamic disturbances that take place within R & D networks. Whereas such findings are directly related to existing transaction costs, the authors find no support for the usual variables attributed to increased complexity in international inter-firm relationships.Research limitations/implications– Self-selection issues are inherently related to the research instrument (i.e. Eureka’s Reports), while further firm-level data could not be obtained since confidentiality issues protected companies’ names and sectors. Also, network-level data are not available, allowing the evaluation of individual perceptions only.Originality/value– While literature addresses the issue of transaction costs in R & D networks via theoretical assumptions and rough proxies, this assessment offers an in-depth evaluation of a set of valuable indicators with direct implications for researchers, managers and policymakers. Main contributions concern the identification of dynamic interactions (and their respective disturbances) as a key feature of the overall performance of R & D networks, stressing the non-linearity of economic processes in these hybrid relationships, an issue that has been poorly tackled by previous empirical investigations.
Four basic models of GM(1, 1) and their suitable sequences
Authors: Liu Sifeng , Zeng Bo , Liu Jiefang , Xie Naiming , Yang Yingjie 
Published: July 2015

Purpose
– The purpose of this paper is to provide a foundational reference and practical guidance for modelling small and poor data with incomplete information.

Design/methodology/approach
– The definitions of four basic models of GM(1, 1), such as Even Grey Model (EGM), Original Difference Grey Model (ODGM), Even Difference Grey Model (EDGM) and Discrete Grey Model (DGM), are put forward. The properties and characteristics of different models are studied and their equivalence are proved. The suitable sequences of different models are studied by simulation and analysis with homogeneous exponential sequences, nonhomogeneous exponential increasing sequences and vibration sequences.

Findings
– The main conclusions have been obtained as follows: first, the three discrete models of ODGM, EDGM and DGM are suitable for homogeneous exponential sequences or sequences which close to a homogeneous exponential sequence; and second the EGM are suitable for nonhomogeneous exponential increasing sequences and vibration sequences.

Practical implications
– The outcome obtained in this paper can be consulted for model selection in the course of practical modelling.

Originality/value
– This paper systematically defined the four basic forms of model GM(1, 1) and studied their properties and characteristics, especially their suitable sequences. Although significant progress has been made in this field, such a systematic study on these models and their suitable sequences is still missing as far as we know. It can provide reference and basis for people to choose the correct model in the actual modelling process.
Grey systems theory in economics – a historical applications review
Authors: Camelia Delcea 
Published: July 2015

Purpose
– As the grey systems theory has been used over the time in different economic areas, in the following, a short literature review will be put forward, starting from the usage of these theory in the supply chain management, decision-making process, financial performance evaluation, credit risk, energy consumption, investment efficiency, etc. The purpose of this paper is to identify some key studies from all the economic areas in which the grey systems can be used in order to open and to bring to the researchers new domains in which they can manifest their interest and in which they can successfully use the methods offered by the grey systems theory.

Design/methodology/approach
– Using the search engine offered by the Web of Science, a literature review has been performed for the economic grey systems applications developed over the time on both economic diagnosis and system’s forecasting. In addition, some hybrid grey systems theory – artificial intelligence techniques models have also been presented.

Findings
– The grey systems theory has brought its contribution to numerous economic application from various fields such as: supply chain management, decision-making process, financial performance evaluation, credit risk, energy consumption, investment efficiency, firms’ bankruptcy, product development, consumer income, monetization ratio, etc.

Research limitations/implications
– The present paper identifies the some of the most representative examples in which the grey theory has been used, but, in the same time, there are a lot of studies that have not been mentioned here due to the lack of space.

Originality/value
– Unlike other review papers written on the grey systems theory area, the present paper is only focusing on the economic applications in which this theory has been successfully used, bringing to the reader a general overview on this field and, in the same time, enabling new research perspectives.