bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistent transcriptional programs are associated with remote memory in diverse cells of the medial prefrontal cortex
Authors: Chen Michelle B. , Jiang Xian , Quake Stephen R. , Südhof Thomas C. 
Published: September 2019

AbstractIt is thought that memory is stored in ‘engrams’, a subset of neurons that undergo learning-induced alterations. The role of gene-expression during learning and short-term memory has been studied extensively, but little is known about remote memory that can persist for a lifetime. Using long-term contextual fear memory as a paradigm, an activity-dependent transgenic model for engram-specific labeling, and single-cell transcriptomics we probed the gene-expression landscape underlying remote memory consolidation and recall in the medial prefrontal cortex. Remarkably, we find sustained activity-specific transcriptional alterations in diverse populations of neurons that persist even weeks after fear-learning and are distinct from those previously identified in learning. Out of a vast plasticity-coding space, we uncover select membrane-fusion genes that could play important roles in maintaining remote memory traces. Unexpectedly, astrocytes and microglia also acquire new persistent gene signatures upon recall of remote memory, suggesting that they actively contribute to memory circuits. Our discovery of novel distinct gene-expression programs involved in long term memory adds an important dimension of activity-dependent cellular states to existing brain taxonomy atlases and sheds light on the elusive mechanisms of remote memory storage.
Rv3722c governs aspartate-dependent nitrogen metabolism inMycobacterium tuberculosis
Authors: Jansen Robert , Mandyoli Lungelo , Hughes Ryan , Wakabayashi Shoko , Pinkham Jessica , Selbach Bruna , Guinn Kristine , Rubin Eric , Sacchettini James , Rhee Kyu 
Published: September 2019

AbstractOrganisms are defined by their genomes, yet many distinguishing features of a given organism are encoded by genes that are functionally unannotated.Mycobacterium tuberculosis(Mtb), the leading cause of death due to a single microbe, co-evolved with humans as its only known natural reservoir, yet the factors mediatingMtb’spathogenicity remain incompletely defined.rv3722cis a gene of unknown function predicted to encode a pyridoxal phosphate binding protein and to be essential forin vitrogrowth ofMtb. Using metabolomic, genetic and structural approaches, we show that Rv3722c is the primary aspartate aminotransferase ofMtband mediates an essential but underrecognized role in metabolism: nitrogen distribution. Together with the attenuation of Rv3722c-deficientMtbin macrophages and mice, these results identify aspartate biosynthesis and nitrogen distribution as potential species-selective drug targets inMtb.
Establishment and characterization of a cell line and patient-derived xenograft (PDX) from peritoneal metastasis of low-grade serous ovarian carcinoma
Authors: De Thaye Elien , Van de Vijver Koen , Van der Meulen Joni , Taminau Joachim , Wagemans Glenn , Denys Hannelore , Van Dorpe Jo , Berx Geert , Ceelen Wim , Van Bocxlaer Jan , De Wever Olivier 
Published: September 2019

AbstractPeritoneal spread indicates poor prognosis in patients with serous ovarian carcinoma (SOC) and is generally treated by surgical cytoreduction and chemotherapy. Novel treatment options are urgently needed to improve patient outcome. Clinically relevant cell lines and patient-derived xenograft (PDX) models are of critical importance to therapeutic regimen evaluation. Here, a PDX model was established by orthotopic engraftment, subperitoneal tumor slurry injection, of low-grade SOC resulting in an early-stage transplantable peritoneal metastasis (PM)-PDX model. Histology confirmed the micropapillary and cribriform growth pattern with intraluminal tumor budding and positivity for PAX8 and WT1. PM-PDX dissociated cells show an epithelial morphotype with a 42h doubling time and 40% colony forming efficiency, they are insensitive to estrogen signaling, low sensitive to platinum derivatives and highly sensitive to paclitaxel (IC50: 6.3 ± 2.2 nM, mean ± SE). The patient primary tumor, PM, PM-PDX and derived cell line all show aKRASc.35G>T (p.(Gly12Val)) mutation and show sensitivity to the MEK inhibitor trametinib in vitro (IC50: 7.2 ± 0.5 nM, mean ± SE) and in the PM mouse model. These preclinical models closely reflecting patient tumors are useful to further elucidate LGSOC disease progression, therapy response and resistance mechanisms.
Defined extracellular ionic solutions to study and manipulate the cellular resting membrane potential
Authors: Bonzanni Mattia , Payne Samantha L. , Adelfio Myriam , Kaplan David L. , Levin Michael , Oudin Madeleine J. 
Published: September 2019

AbstractAll cells possess an electric potential across their plasma membranes. While familiar in the context of excitable cells such as neurons, healthy non-excitable cells are also able to generate and receive bioelectric signals. The cellular resting membrane potential (RMP) regulates many factors in cell homeostasis, such as cell proliferation, differentiation and apoptosis. It is therefore critical to develop simple strategies to measure, manipulate and characterize this feature. Current studies to evaluate RMP rely on the patch clamp approach, which is technically challenging, low-throughput and not widely available to the scientific community. Here, we present a relatively simple methodology to functionally study the role of RMP in non-excitable cells by modulating it pharmacologically, and using a voltage-sensitive dye to characterize the contribution of individual ions to the RMP. Specifically, we define protocols for using extracellular solutions in which permeable ions (Na+, Cl− and K+) are substituted with non-permeable ions (N-Methyl-D-glucamine (NMDG), gluconate, choline, SO42−) to study and manipulate RMP in vitro. The resulting RMP modifications were assessed with both patch clamp and a voltage sensitive dye. Using an epithelial and cancer cell line, we demonstrate that the proposed ionic solutions can determine the relative contribution of ionic species in setting the RMP and be used to actively and selectively modify the RMP. The proposed method is simple and reproducible and will make the study of bioelectricity more readily available to the cell biology community by enabling functional modulation of RMP in most cellular assays.Author Disclosure StatementsNo competing financial interests exist.
Post-regulation effect on factors driving environmental disclosures among Chinese listed firms
Authors: Yekini Kemi , Adelopo Ismail , Wang Yan , Song Surong 
Published: September 2019

PurposeThe purpose of this study is to re-examine the factors that affect the level of environmental information disclosures (EID) following the issuance of the “Environmental Information Disclosure Guidelines for Chinese Listed Companies”.Design/methodology/approachThe study is underpinned by stakeholder and legitimacy theories. Level of EID was measured for 100 Chinese companies using a scoring system and content analysis of their annual reports. The study explored the effect of ownership structure, managerial shareholding, economic power and industry classification on the level of EID using panel regression.FindingsThe study revealed that with clearly spelt out guidelines, Chinese companies are prepared to disclose environmental information regardless of their economic power. It was found that the overall level of EID in China remains lower than in developed economies. The findings are robust across several econometric models that sufficiently address various endogeneity problems.Originality/valueThis paper contributes to the existing literature by using new and updated data to re-examine the factors that affect the level of EID among Chinese listed companies. The study is important and timely as it covers the period 2014-2016, which is after the Chinese Government strengthened the enforcement of EID. It highlights the effects of new regulations and underscored areas that still require government attention to foster effective environmental protection.
The long-term effect of economic value added adoption on the firm’s business decision
Authors: Guermat Cherif , Misirlioglu Ismail U. , Al-Omush Ahmed M. 
Published: September 2019

Purpose
This study aims to examine the long-term effects of adopting economic value added (EVA) as a compensation tool on managers’ behaviour.

Design/methodology/approach
The authors extend the sample used in prior studies both in the time and the cross-section dimensions.

Findings
The study conclusions are distinct from those offered by existing studies. The authors show that EVA adopters, relative to non-EVA adopters, increase the working capital cycle, use their assets less intensively and decrease their payouts to shareholders via a decrease in dividends and share repurchases. In investing decisions, the authors find a decrease in new investments, but no change in asset dispositions after the adoption of EVA compensation plans.

Originality/value
The study results highlight that the EVA adoption provides more incentives to reduce the total cost for capital rather than increasing operations and maximising shareholder wealth. The results also have implication for corporate management, particularly in the area of management compensation scheme design.
Material weakness disclosures and restatements: value of external auditor attestation
Authors: Guragai Binod , Hutchison Paul D. 
Published: September 2019

Purpose
The purpose of this study is to examine the value of auditor attestation in internal control over financial reporting (ICFR) disclosures. The authors argue that internal control material weakness (ICMW) disclosures issued without auditor attestation by non-accelerated filers provide weaker signal to the impaired financial reporting quality compared to those issued with auditor attestation by accelerated filers.

Design/methodology/approach
This study investigates the differences in the association between ICMW disclosures and impaired financial reporting quality, as proxied by financial statement restatements, for accelerated and non-accelerated filers. The authors use propensity score matching to find control groups for both accelerated and non-accelerated filers.

Findings
The authors find that ICMW disclosures signal impaired financial reporting quality for both accelerated and non-accelerated filers, but such signaling is weaker for non-accelerated filers compared to accelerated filers.

Research limitations/implications
Although propensity score matching was used to match firms with and without ICMW disclosures, any unobservable fundamental differences between these groups may affect the results of this study.

Originality/value
This study shows that auditors’ involvement in the assessment of internal control effectiveness improves the signaling effect of ICMW disclosures on impaired financial reporting quality. As approved by the House Financial Services (HFS) Committee on November 4, 2009, non-accelerated filers are permanently exempt from auditor attestation requirement. This study provides some evidence that the exemption of non-accelerated filers from auditor attestation may have unintended consequences, and these results should be of interest to regulators and investors.
Political competition and debt: evidence from New Zealand local governments
Authors: Chatterjee Bikram , Bhattacharya Sukanto , Taylor Grantley , West Brian 
Published: September 2019

PurposeThis paper aims to investigate whether the amount of local governments’ debt can be predicted by the level of political competition.Design/methodology/approachThe study uses the artificial neural network (ANN) to test whether ANN can “learn” from the observed data and make reliable out-of-sample predictions of the target variable value (i.e. a local government’s debt level) for given values of the predictor variables. An ANN is a non-parametric prediction tool, that is, not susceptible to the common limitations of regression-based parametric forecasting models, e.g. multi-collinearity and latent non-linear relations.FindingsThe study finds that “political competition” is a useful predictor of a local government’s debt level. Moreover, a positive relationship between political competition and debt level is indicated, i.e. increases in political competition typically leads to increases in a local government’s level of debt.Originality/valueThe study contributes to public sector reporting literature by investigating whether public debt levels can be predicted on the basis of political competition while discounting factors such as “political ideology” and “fragmentation”. The findings of the study are consistent with the expectations posited by public choice theory and have implications for public sector auditing, policy and reporting standards, particularly in terms of minimising potential political opportunism.
Exploring health-related motive orientations among Dutch seniors
Authors: Sijtsema Siet J. , Raaijmakers Ireen , Onwezen Marleen C. , Doets Esmee 
Published: September 2019

Purpose
Generally, food intake of older consumers is not in line with dietary guidelines. Insight into personal health-related motive orientations (HRMO) in this target group is useful for developing tailored interventions that support healthy food consumption, a better understanding is needed. The purpose of this paper is twofold: first, to identify older consumer groups based on HRMO; and second, to compare their consumption of different food groups and functionalities associated with a main meal.

Design/methodology/approach
An online survey was filled out by 459 Dutch adults aged 55–90 years (mean age=68.2 years), of the Sento network including 800 vital community-dwelling older consumers.

Findings
Analysis revealed five clusters of older adults with different HRMO profiles: appearance and achievement oriented, active oriented, altruistic oriented, achievement oriented and less health oriented. In addition, these segments differ in importance of functionalities associated with a main meal, i.e., physical, pleasure or rewarding, and in the consumption of specific food groups, i.e., unprocessed meat, meat replacers and unsalted nuts.

Research limitations/implications
Recommendations for interventions and communication strategies to support healthy food consumption in the different HRMO segments are presented.

Originality/value
This exploration showed that different segments of Dutch older adults can be identified based on HRMO. Between these segments there are differences in consumption of protein-rich food groups and functionalities associated with a main meal.
Enhancement of convergence characteristics of Newton-Raphson method with line search for nonlinear eddy current analysis based on time-periodic FEM
Authors: Kakita Shimpei , Okamoto Yoshifumi 
Published: September 2019

Purpose
The paper aims to improve convergence characteristics of the Newton–Raphson (NR) method applied to time-periodic finite element method using various line searches, as time-periodic finite element method causes deterioration of convergence characteristic of nonlinear analysis based on NR method. The study also aims to accelerate and improve accuracy of electromagnetic field analysis for improvement of the performance of electrical machine.

Design/methodology/approach
The paper proposes new type line searches that set approximate step size for NR method. The line search evaluated step size using higher-order interpolation of functional derivative. In addition, two criteria for applying these line search were proposed. First method set one scalar value for every NR iteration that is named constant step size. Second method define different step size in each time step of time-periodic finite element method to update solution vector that is named different step size.

Findings
The paper provides efficient line searches to improve convergence characteristics for NR method. Nonlinear magnetic field analysis of two transformer models is demonstrated. The proposed methods achieve the following results: higher-order functional NR is efficient in improving convergence characteristics, and the proposed methods succeeded about twice faster in both models.

Originality/value
The paper fulfills improvement of convergence characteristics of the NR method applied to time-periodic finite element method using proposed line searches and accelerate electromagnetic field analysis.
Disaster preparedness and well-being among Cambodian– and Laotian–Americans
Authors: DeYoung Sarah E. , Lewis Denise C. , Seponski Desiree M. , Augustine Danielle A. , Phal Monysakada 
Published: September 2019

PurposeUsing two main research questions, the purpose of this paper is to examine well-being and preparedness among Cambodian and Laotian immigrants living near the Gulf Coast of the USA, and the ways in which indicators such as sense of community and risk perception are related to these constructs.Design/methodology/approachThis study employed a cross-sectional prospective design to examine disaster preparedness and well-being among Laotian and Cambodian immigrant communities. Quantitative survey data using purposive snowball sampling were collected throughout several months in Alabama, Mississippi, Florida and Louisiana.FindingsResults from two multiple regressions revealed that sense of community and age contributed to well-being and were significant in the model, but with a negative relationship between age and well-being. Risk perception, confidence in government, confidence in engaging household preparedness and ability to cope with a financial crisis were significant predictors and positively related to disaster preparedness.Practical implicationsWell-being and disaster preparedness can be bolstered through community-based planning that seeks to address urgent needs of the people residing in vulnerable coastal locations. Specifically, immigrants who speak English as a second language, elder individuals and households in the lowest income brackets should be supported in disaster planning and outreach.Originality/valueCambodian and Laotian American immigrants rely upon the Gulf Coast’s waters for fishing, crab and shrimp income. Despite on-going hazard and disasters, few studies address preparedness among immigrant populations in the USA. This study fills a gap in preparedness research as well as factors associated with well-being, an important aspect of long-term resilience.
Two new Painlevé-integrable extended Sakovich equations with (2 + 1) and (3 + 1) dimensions
Authors: Wazwaz Abdul-Majid 
Published: September 2019

Purpose
The purpose of this paper is to introduce two new Painlevé-integrable extended Sakovich equations with (2 + 1) and (3 + 1) dimensions. The author obtains multiple soliton solutions and multiple complex soliton solutions for these three models.

Design/methodology/approach
The newly developed Sakovich equations have been handled by using the Hirota’s direct method. The author also uses the complex Hirota’s criteria for deriving multiple complex soliton solutions.

Findings
The developed extended Sakovich models exhibit complete integrability in analogy with the original Sakovich equation.

Research limitations/implications
This paper is to address these two main motivations: the study of the integrability features and solitons solutions for the developed methods.

Practical implications
This paper introduces two Painlevé-integrable extended Sakovich equations which give real and complex soliton solutions.

Social implications
This paper presents useful algorithms for constructing new integrable equations and for handling these equations.

Originality/value
This paper gives two Painlevé-integrable extended equations which belong to second-order PDEs. The two developed models do not contain the dispersion term uxxx. This paper presents an original work with newly developed integrable equations and shows useful findings.
The (in)coherence in accounting for goodwill
Authors: Garzella Stefano , Ferri Salvatore , Fiorentino Raffaele , Paolone Francesco 
Published: September 2019

PurposeIn the process of harmonizing International Accounting Standards (IAS/IFRS), scholars and standard setters still need to overcome unresolved issues related to both goodwill duration and accounting recognition. This paper aims to compare the academic background on goodwill with current IAS. Specifically, the goal is to criticize existing practices and advance a revision of accounting for goodwill.Design/methodology/approachThe paper is based on a review of the relevant literature on notions, theories and accounting approaches on goodwill and on an investigation of IAS/IFRS on accounting for goodwill. By critically integrating literature and practices, the authors provide implications for a revision of IAS.FindingsThe findings show the two main internally coherent theoretical approaches and the incoherence in current goodwill accounting standards. The paper contributes to the debate on accounting for goodwill by suggesting new conceptual arguments in relation to the controversies related to its accounting treatment.Practical implicationsThe findings offer insights and guidelines that can help standard setters revise current accounting standards. Inter alia, standards setters should revisit issues related to goodwill evaluation and record limitations in future debates to find better solutions.Originality/valueThis study shows the incoherence of current accounting standards. Furthermore, the findings contradict the general opinion that, in current IAS, goodwill can be recognized only if acquired in business combinations and not if internally generated. Thereby, the authors suggest to shift the international accounting standards board focus from the preference between amortization and impairment to the coherence of goodwill accounting approaches.
Vehicle routing analyses with integrated order picking and delivery problem under carbon cap and trade policy
Authors: Jharkharia Sanjay , Das Chiranjit 
Published: September 2019

PurposeThe purpose of this study is to model a vehicle routing problem with integrated picking and delivery under carbon cap and trade policy. This study also provides sensitivity analyses of carbon cap and price to the total cost.Design/methodology/approachA mixed integer linear programming (MILP) model is formulated to model the vehicle routing with integrated order picking and delivery constraints. The model is then solved by using the CPLEX solver. Carbon footprint is estimated by a fuel consumption function that is dependent on two factors, distance and vehicle speed. The model is analyzed by considering 10 suppliers and 20 customers. The distance and vehicle speed data are generated using simulation with random numbers.FindingsSignificant amount of carbon footprint can be reduced through the adoption of eco-efficient vehicle routing with a marginal increase in total transportation cost. Sensitivity analysis indicates that compared to carbon cap, carbon price has more influence on the total cost.Research limitations/implicationsThe model considers mid-sized problem instances. To analyze large size problems, heuristics and meta-heuristics may be used.Practical implicationsThis study provides an analysis of carbon cap and price model that would assist practitioners and policymakers in formulating their policy in the context of carbon emissions.Originality/valueThis study provides two significant contributions to low carbon supply chain management. First, it provides a vehicle routing model under carbon cap and trade policy. Second, it provides a sensitivity analysis of carbon cap and price in the model.