bluuebunny/crossref_metadata_2025_split huggingface dataset:
A model to study NMDA receptors in early nervous system development
Authors: Zoodsma Josiah , Chan Kelvin , Golann David , Bhandiwad Ashwin , Napoli Amalia , Liu Guangmei , Syed Shoaib , Burgess Harold , Sirotkin Howard , Wollmuth Lonnie P. 
Published: October 2019

ABSTRACTNMDA receptors (NMDARs) are glutamate-gated ion channels that play critical roles in neuronal development and nervous system function. Pharmacological antagonism is an invaluable tool to study NMDARs, but is experimentally limited. Here, we developed a model to study NMDARs in early development in zebrafish, by generating CRISPR-mediated lesions in the NMDAR genes,grin1aandgrin1b, which encode the obligatory GluN1 subunits. While receptors containinggrin1aorgrin1bshow high Ca2+permeability, like their mammalian counterpart,grin1ais expressed earlier and more broadly in development thangrin1b. Bothgrin1a−/−andgrin1b−/−zebrafish are viable as adults. Unlike in rodents, where thegrin1knockout is embryonic lethal,grin1double mutant fish (grin1a−/−; grin1b−/−), which lack all NMDAR-mediated synaptic transmission, survive until about 10 days post fertilization, providing a unique opportunity to explore NMDAR function during development and in generating behaviors. Many behavioral defects in thegrin1double mutant larvae, including abnormal evoked responses to light and acoustic stimuli, prey capture deficits and a failure to habituate to acoustic stimuli, are replicated by short-term treatment with the NMDAR antagonist MK-801, suggesting they arise from acute effects of compromised NMDAR-mediated transmission. Other defects, however, such as periods of hyperactivity and alterations in place preference, are not phenocopied by MK-801, suggesting a developmental origin. Taken together, we have developed a unique model to study NMDARs in the developing vertebrate nervous system.
Channelrhodopsin C1C2: Photocycle kinetics and interactions near the central gate
Authors: VanGordon M. R. , Prignano L. A. , Dempski R. E. , Rick S. W. , Rempe S. B. 
Published: October 2019

ABSTRACTChannelrhodopsins (ChR) are cation channels that can be expressed heterologously in various living tissues, including cardiac and neuronal cells. To tune spatial and temporal control of potentials across ChR-enriched cell membranes, it is essential to understand how pore hydration impacts the ChR photocycle kinetics. Here, we measure channel opening and closing rates of channelrhodopsin chimera and selected variants (C1C2 wild type, C1C2-N297D, C1C2-N297V, and C1C2-V125L) and correlate them with changes in chemical interactions among functionally important residues in both closed and open states. Kinetic results substantiate that replacement of helices I and II in ChR2 with corresponding residues from ChR1, to make the chimera C1C2, affects the kinetics of channelrhodopsin pore gating significantly, making C1C2 a unique channel. As a prerequisite for studies of ion transport, detailed understanding of the water pathway within a ChR channel is important. Our atomistic simulations confirm that opening of the channel and initial hydration of the previously dry gating regions between helices I, II, III, and VII of the channel occurs with 1) the presence of 13-cis retinal; 2) deprotonation of a glutamic acid gating residue, E129; and 3) subsequent weakening of the central gate hydrogen bond between the same glutamic acid E129 and asparagine N282 in the central region of the pore. Also, an aspartate (D292) is the unambiguous primary proton acceptor for the retinal Schiff base in the hydrated channel.SIGNIFICANCEChannelrhodopsins (ChR) are light-sensitive ion channels used in optogenetics, a technique that applies light to selectively and non-invasively control cells (e.g., neurons) that have been modified genetically to express those channels. Using electrophysiology, we measured the opening and closing rates of a ChR chimera, and several variants, and correlated those rates with changes in chemical interactions determined from atomistic simulations. Significant new insights include correlation of single-point-mutations with four factors associated with pore hydration and cation conductance. Additionally, our work unambiguously identifies the primary proton acceptor for the retinal chromophore in the channel open state. These new insights add to mechanistic understanding of light-gated membrane transport and should facilitate future efforts to control membrane potentials spatially and temporally in optogenetics.
Do power distance and market information foster or impede performance of Chinese new ventures?
Authors: Zhang Haili , Song Michael 
Published: October 2019

PurposeThe purpose of this paper is to examine the moderating effects of market growth on the relationships between power distance and new venture performance and between market information utilization in new ventures and new venture performance in China.Design/methodology/approachThis study uses content analyses and OLS regressions.FindingsFirst, power distance and market information utilization have positive effects on Chinese new venture performance. Second, in a low market growth environment, increasing power distance increases Chinese new venture performance. Third, in a high market growth environment, increasing power distance decreases, not increases, Chinese new venture performance.Research limitations/implicationsThis study contributes to the market orientation literature by examining the moderating effects of market growth on the market information utilization-performance relationship in China. This study also adds to the existing understanding of power distance and market information utilization in contingency theoretical perspective.Practical implicationsChinese new ventures operating in a high-growth market should reduce power distance. However, when operating in the low market growth industry, Chinese new ventures should increase power distance. While all Chinese new ventures should use market information to make decisions, the roles of market information are more important for Chinese new ventures operating in high market growth industries than for those operating in low market growth industries.Originality/valueThis study examines the moderating effects of market growth on the positive relationship between power distance and Chinese new venture performance and the positive relationship between market information utilization on Chinese new venture performance in the same model.
Do altmetrics correlate with citations? A study based on the 1,000 most-cited articles
Authors: Ouchi Ali , Saberi Mohammad Karim , Ansari Nasim , Hashempour Leila , Isfandyari-Moghaddam Alireza 
Published: October 2019

Purpose
The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators.

Design/methodology/approach
This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS.

Findings
According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001).

Practical implications
The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles.

Originality/value
Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.
Textual and contextual analysis of professionals’ discourses on XBRL data and information quality
Authors: Perdana Arif , Robb Alastair , Rohde Fiona 
Published: October 2019

PurposeThe purpose of this study is to gain insight into what aspects of eXtensible Business Reporting Language (XBRL) data and information quality (DIQ) most interest professionals.Design/methodology/approachThe authors use text analytics to examine XBRL discourses from professionals working in the domain. They explore the discussion in the three largest LinkedIn XBRL groups. Data collection covered the period 2010-2016.FindingsVia the text analytics, the authors find the most appropriate XBRL DIQ dimensions. They propose an XBRL DIQ framework containing 18 relevant DIQ dimensions derived from both the accounting and IS fields. The findings of this study are expected to help direct future XBRL research into the DIQ dimensions most worthy of further empirical investigation.Originality/valueXBRL is the international standard for the digital reporting of financial, performance, risk and compliance information. Although the expectations of XBRL to produce improvements in DIQ via its applications (e.g. standard business reporting, digital data standard and interactive data visualization) are high, they remain unclear. This paper contributes to better understanding of the aspects of XBRL DIQ most relevant to professionals.
Hedge accounting and investors’ view of FX risk
Authors: Wang Li , Makar Stephen 
Published: October 2019

Purpose
This paper aims to examine the foreign exchange (FX) risk effects of cash flow hedge accounting (HA). To the extent the HA qualification criteria and detailed documentation give investors confidence that FX derivatives effectively hedge risk, market-assigned FX risk premiums will be lower for firms using cash flow HA.

Design/methodology/approach
Probit analyses rely on the HA designation to examine the decision to use cash flow HA. Primary analyses test the hypothesized relationship between the magnitude of FX risk premiums and such HA use. Additional analyses allow for the interaction between cash flow HA use and the extent of FX derivatives use.

Findings
Hypothesis tests indicate that the magnitude of the FX risk premium is, on average, lower for firms designated as effective cash flow hedgers. In additional tests, the evidence suggests that the market assigns a lower FX risk premium to firms using a higher level of FX derivatives as effective cash flow hedges.

Practical implications
The findings suggest that cash flow HA provides risk-relevant information to investors. Such positive effects of HA on investors’ understanding of risk management may guide US accounting regulators in their efforts to improve HA. Corporate treasurers also may benefit from these insights into evaluating the use of HA.

Originality/value
Responding to the call for research on the risk relevance of cash flow HA, this paper merges the HA literature with the FX risk management literature to directly examine the relationship between HA use and FX risk premiums for manufacturing firms. The authors take an innovative approach using FX rates to which each firm is most exposed and provide evidence consistent with the argument that this approach is helpful in understanding both the decision to use cash flow HA and the effect of such HA use on market-assigned FX risk premiums.
Quality assessment in crowdsourced classification tasks
Authors: Bu Qiong , Simperl Elena , Chapman Adriane , Maddalena Eddy 
Published: October 2019

PurposeEnsuring quality is one of the most significant challenges in microtask crowdsourcing tasks. Aggregation of the collected data from the crowd is one of the important steps to infer the correct answer, but the existing study seems to be limited to the single-step task. This study aims to look at multiple-step classification tasks and understand aggregation in such cases; hence, it is useful for assessing the classification quality.Design/methodology/approachThe authors present a model to capture the information of the workflow, questions and answers for both single- and multiple-question classification tasks. They propose an adapted approach on top of the classic approach so that the model can handle tasks with several multiple-choice questions in general instead of a specific domain or any specific hierarchical classifications. They evaluate their approach with three representative tasks from existing citizen science projects in which they have the gold standard created by experts.FindingsThe results show that the approach can provide significant improvements to the overall classification accuracy. The authors’ analysis also demonstrates that all algorithms can achieve higher accuracy for the volunteer- versus paid-generated data sets for the same task. Furthermore, the authors observed interesting patterns in the relationship between the performance of different algorithms and workflow-specific factors including the number of steps and the number of available options in each step.Originality/valueDue to the nature of crowdsourcing, aggregating the collected data is an important process to understand the quality of crowdsourcing results. Different inference algorithms have been studied for simple microtasks consisting of single questions with two or more answers. However, as classification tasks typically contain many questions, the proposed method can be applied to a wide range of tasks including both single- and multiple-question classification tasks.
The impact of 3D printing implementation on stock returns
Authors: Lam Hugo K.S. , Ding Li , Cheng T.C.E. , Zhou Honggeng 
Published: October 2019

PurposeThe purpose of this paper is to theoretically hypothesize and empirically test the impact of 3D printing (3DP) implementation on stock returns. It further explores how the stock returns due to 3DP implementation vary across different industry environments.Design/methodology/approachThis paper integrates the dynamic capabilities view with contingency theory to provide a contingent dynamic capabilities (CDC) perspective on 3DP implementation. It argues that implementing 3DP enables firms to enhance their manufacturing capabilities and gain a competitive advantage, but the extent to which the competitive advantage can be realized is contingent on the fit between 3DP-enhanced manufacturing capabilities and firms’ operating environments. Those arguments are tested based on an event study of 232 announcements of 3DP implementation made by US publicly listed firms between 2010 and 2017.FindingsThe event study results show that firms implementing 3DP gain higher stock returns compared with their non-implementation industry peers over two years after the implementation. Such stock returns due to 3DP implementation are more pronounced for firms operating in more munificent, more dynamic and less competitive industry environments. Those findings are consistent with the CDC perspective.Originality/valueThis is the first research empirically examining the impact of 3DP implementation on stock returns. It provides important implications for managers to implement 3DP to enhance firms’ manufacturing capabilities and for researchers to study 3DP implementation from the CDC perspective.
Federal aggregate personal income tax evasion/unreported income and its real interest rate yield effects on longer-term treasury debt issues
Authors: Cebula Richard 
Published: October 2019

PurposeThe purpose of this study is to empirically investigate the impact of aggregate federal personal income tax evasion on the real interest rate yield on 10-year Treasury notes, 20-year Treasury bonds and 30-year US Treasury bonds.Design/methodology/approachAn open-economy loanable funds model is developed, with income tax evasion expressly included in the specification in the form of the AGI (adjusted gross income) gap and the ratio of unreported AGI to actual AGI, expressed as a per cent.FindingsThe empirical estimations reveal compelling evidence that income tax evasion thus measured acts to elevate the real interest rate yields on 10-year Treasury notes and both 20-year and 30-year Treasury bonds, raising the possibility of a tax evasion-induced form of “crowding out”.Research limitations/implicationsIdeally, tax evasion data for a longer time period would be very useful.Practical implicationsTo the extent that greater federal personal income tax evasion yields a higher interest rate yield on 10-year, 20-year and 30-year Treasury debt issues, it is likely that the tax evasion will also elevate other interest rates in the economy.Social implicationsHigher interest rates resulting from tax evasion would likely slow-down macroeconomic growth and accelerate unemployment.Originality/valueNeither the tax evasion literature nor the interest rate literature has ever considered the impact of tax evasion behavior on long-term interest rates.
Study on manufacturer–dealer relationships for strategic alignment
Authors: C.V. Sunil Kumar , Hemanth Surya , Routroy Srikanta , Mishra Ram Kumar 
Published: October 2019

PurposeDealers positioned at the downstream of the supply chains are those who can directly influence demand scenario for the manufacturer. However, manufacturer has to ensure that the influence is favorable by competitively fulfilling the anticipations of the dealers. In this regard, the purpose of this paper is focused on developing sustainable strategic relationships between manufacturer and dealer.Design/methodology/approachIn this paper, the basic requirements of the dealers expected to be fulfilled by a manufacturer are analyzed by applying fuzzy Analytic Hierarchy Process and fuzzy Quality Function Deployment. The said approach is implemented in a case situation of a paint manufacturing company in India, and the results are analyzed to provide directions for the company to strategically align manufacturer–dealer relationships.FindingsIt was found that the case company has to focus mainly on promotions and advertisements, painters meet, and recognition offered to the dealers. Although pricing was also considered as one of the prominent aspects yet through competitive assessment the case company was found to be better off compared to its competitors.Research limitations/implicationsAs the results obtained in the current study are specific to a manufacturing environment, they cannot be generalized for all the companies. However, similar approach can be adopted for analyzing the customer requirements in order to achieve dealers’ attractiveness and satisfaction.Originality/valueThe application of proposed approach assists a manufacturer to pursue right strategy to practice for achieving dealer attractiveness and satisfaction. This will definitely help the supply chain managers to have the right requirements of the dealers’ are fulfilled on priority.
Activated carbon prepared from pistachio waste for dye adsorption: experimental and CCD-based design
Authors: Mehralian Mohammad , Goodarzvand Chegini Zahra , Khashij Maryam 
Published: October 2019

Purpose
This study aims to activated carbon prepared from pistachio waste by using phosphoric acid as chemical activator agent. Activated carbon adsorbents were prepared from pistachio waste by using phosphoric acid as chemical activator agent.

Design/methodology/approach
The optimum conditions for the highest adsorption performance were determined by central composite design (CCD). The adsorbent was used for the adsorption of dye reactive black 5 (RB5), and the parameters affecting the adsorption were discussed like pH, initial concentration, contact time and adsorbent dosage. The adsorbent synthesized has been characterized by FTIR spectroscopy and scanning electron microscopy. The kinetic models including pseudo-first-order, pseudo-second-order and intraparticle diffusion with Langmuir and Freundlich isotherm models were applied to investigate the kinetic and isotherms parameters.

Findings
When the dye concentration is 10 mg/L, RB5 dye removal rates reach 87.5 per cent. Moreover, the adsorption process of RB5 follows the pseudo-second-order kinetics and the Freundlich adsorption isotherm.

Practical implications
This study provided a simple and effective way to prepare activated carbon adsorbents from pistachio wastes. This way was conductive to protect environmental from a huge amount of agricultural waste produced and subsequent application for removal of pollutants from aqueous solutions.

Originality/value
The activated carbon adsorbents are prepared via chemical activation, which is prepared with pistachio wastes. There are two main innovations: one is that the novel adsorbents are prepared successfully by waste and the other is that the optimized conditions are designed by CCD.