bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spontaneous social communication in laboratory mice - placing ultrasonic vocalizations in their behavioral context
Authors: Ey Elodie , de Chaumont Fabrice , Bourgeron Thomas 
Published: July 2020

SummaryIn their natural habitat, mice interact and communicate to regulate major functions, such as reproduction, group coordination, and protection. Nevertheless, little is currently known about their spontaneous emission of ultrasonic vocalizations (USVs), despite their broad use as a phenotypic marker in mouse models of neuropsychiatric disorders. Here, we investigated mouse spontaneous communication by coupling automatic recording, segmentation, and analysis of USVs to the tracking of complex behaviors. We continuously recorded undisturbed same-sex pairs of C57BL/6J males and females at 5 weeks and 3 and 7 months of age over three days. Males emitted only a few short USVs, mainly when isolated from their conspecific, whereas females emitted a high number of USVs, especially when engaged in intense dynamic social interactions. The context-specific use of call types and acoustic variations emerged with increasing age. The emission of USVs also reflected a high level of excitement in social interactions. Finally, mice lacking Shank3, a synaptic protein associated with autism, displayed atypical USV usage and acoustic structure, which did not appear in classical protocols, highlighting the importance of studying spontaneous communication. The methods are freely available for the research community (https://usv.pasteur.cloud).
Aversion encoded in the subthalamic nucleus
Authors: Serra Gian Pietro , Guillaumin Adriane , Baufreton Jérome , Georges François , Wallén-Mackenzie Åsa 
Published: July 2020

AbstractActivation of the subthalamic nucleus (STN) is associated with the stopping of ongoing behavior via the basal ganglia. However, we recently observed that optogenetic STN excitation induced a strong jumping/escaping behavior. We hypothesized that STN activation is aversive. To test this, place preference was assessed. Optogenetic excitation of the STN caused potent place aversion. Causality between STN activation and aversion has not been demonstrated previously. The lateral habenula (LHb) is a critical hub for aversion. Optogenetic stimulation of the STN indeed caused firing of LHb neurons, but with delay, suggesting the involvement of a polysynaptic circuit. To unravel a putative pathway, the ventral pallidum (VP) was investigated. VP receives projections from the STN and in turn projects to the LHb. Optogenetic excitation of STN-VP terminals caused firing of VP neurons and induced aversive behavior. This study identifies the STN as critical hub for aversion, potentially mediated via an STN-VP-LHb pathway.
Both default and multiple-demand regions represent semantic goal information
Authors: Wang Xiuyi , Gao Zhiyao , Smallwood Jonathan , Jefferies Elizabeth 
Published: July 2020

AbstractWhile the multiple-demand network plays an established role in cognitive flexibility, the role of default mode network is more poorly understood. In this study, we used a semantic feature matching task combined with multivoxel pattern decoding to test contrasting functional accounts. By one view, default mode and multiple-demand networks have opposing roles in cognition; consequently, while multiple-demand regions can decode current goal information, semantically-relevant default network regions might decode conceptual similarity irrespective of task demands. Alternatively, default mode regions might show sensitivity to changing task demands like multiple-demand regions, consistent with evidence that both networks dynamically alter their patterns of connectivity depending on the context. Our task required participants to integrate conceptual knowledge with changing task goals, such that successive decisions were based on different features of the items (colour, shape and size). This allowed us to simultaneously decode semantic category and current goal information using a whole-brain searchlight decoding approach. As expected, multiple-demand regions represented information about the currently-relevant conceptual feature, yet similar decoding results were found in default mode network regions, including angular gyrus and posterior cingulate cortex. Semantic category irrespective of task demands could be decoded in lateral occipital cortex, but not in most regions of default mode network. These results show that conceptual information related to the current goal dominates the multivariate response within default mode network. In this way, default mode network nodes support flexible memory retrieval by modulating their response to suit active task goals, alongside regions of multiple-demand cortex.Significance StatementWe tested contrasting accounts of default mode network (DMN) function using multivoxel pattern analysis. By one view, semantically-relevant parts of DMN represent conceptual similarity, irrespective of task context. By an alternative view, DMN tracks changing task demands. Our semantic feature matching task required participants to integrate conceptual knowledge with task goals, such that successive decisions were based on different features of the items. We demonstrate that DMN regions can decode current goal, alongside multiple-demand regions traditionally associated with cognitive control. The successful decoding of goal information plus largely absent category decoding effects within DMN indicates that this network supports flexible semantic cognition.
The cysteine-rich exosporium morphogenetic protein, CdeC, exhibits self-assembly properties that lead to organized inclusion bodies inEscherichia coli
Authors: Romero-Rodríguez A. , Troncoso-Cotal S. , Guerrero-Araya E. , Paredes-Sabja D. 
Published: July 2020

AbstractClostridioides difficileis an obligate anaerobe spore-forming, Gram-positive, pathogenic bacterium, considered the leading cause of nosocomial diarrhea worldwide. Recent studies have attempted to understand the biology of the outer-most layer ofC. difficilespores, the exosporium, which is believed to contribute to early interactions with the host. The fundamental role of the cysteine-rich proteins CdeC and CdeM has been described. However, the molecular details behind the mechanism of exosporium assembly are missing. The underlying mechanisms that govern exosporium assembly inC. difficileremain poorly studied, in part due to difficulties in obtaining pure soluble recombinant proteins of theC. difficileexosporium. In this work, we observed that CdeC was able to form organized inclusion bodies in theE. coliBL21 (DE3) pRIL strain filled with lamellae-like structures separated by an interspace of 5-15 nm; however, this lamellae-like organization is lost upon overexpression inE. coliSHuffle T7 strain with an oxidative environment. Additionally, DTT treatment of CdeC inclusion bodies released monomeric soluble forms of CdeC. Three truncated versions of the CdeC protein were constructed. While all the variants were able to aggregate forming oligomers that are resistant to denaturation conditions, TEM micrographs suggest that the self-organization properties of CdeC may be attributed to the C-terminal domain. Overall, these observations have important implications in further studies implicated in elucidating the role of CdeC in the exosporium assembly ofC. difficilespores.
Structural insight into hormone recognition and transmembrane signaling by the atrial natriuretic peptide receptor
Authors: Ogawa Haruo , Kodama Masami , Izumikawa Kei 
Published: July 2020

AbstractAtrial natriuretic peptide (ANP) is an endogenous and potent hypotensive hormone that elicits natriuretic, diuretic, vasorelaxant, and anti-proliferative effects, which play a central role in the regulation of blood pressure and volume. To investigate the hormone-binding and membrane signaling mechanisms mediated by the ANP receptor, we elucidated the crystal structures of the ANP receptor extracellular hormone-binding domain (ANPR) complexed with full-length ANP, truncated mutants of ANP, and dendroaspis natriuretic peptide (DNP) isolated from the venom of the green Mamba snake,Dendroaspis angusticeps. The bound peptides possessed pseudo two-fold symmetry to which the tight coupling of the peptide to the receptor and guanylyl cyclase activity was attributed. The crystal structures and our results from kinetic experiments provide insight into the ligand recognition and transmembrane signaling mechanism of the ANP receptor. Our findings provide useful information that can be applied to drug discovery for heart failure therapies.
Genetic manipulation of the optical refractive index in living cells
Authors: Ogawa Junko , Iwata Yoko , Tonnu Nina U , Gopinath Chitra , Huang Ling , Itoh Sachihiko , Ando Ryoko , Miyawaki Atsushi , Verma Inder M , Pao Gerald M 
Published: July 2020

AbstractThe optical refractive index of cellular components is generally not a property considered amenable to manipulation in microscopy as this is an intrinsic physical property of materials. Here we show that by targeting cephalopod reflectin protein nanoparticles one can manipulate the optical refractive index of mammalian cellular compartments. We further demonstrate that refractive index alteration based contrast agents can be utilized for dark field microscopy and quantitative phase contrast holotomography. Additionally we have molecularly cloned novel reflectins with improved and novel optical properties.
A review and historical development of analytical techniques to predict aircraft spin and recovery characteristics
Authors: Malik Bilal , Masud Jehanzeb , Akhtar Suhail 
Published: July 2020

Purpose
This paper aims to present a literature review on analytical research on the prediction of aircraft spin and recovery characteristics, as it progressed from the early years of aviation to current state of the art spin technologies.

Design/methodology/approach
Aerodynamic model development approaches that have been generally used in past spin studies are presented. Past contributions in application of these analytical techniques to predict spin and recovery characteristics on various fighters, general aviation and airliners are discussed, thus providing useful reference for researchers embarking aircraft spin research. An overview of the development of spin prevention and spin recovery technologies to mitigate stall/spin susceptibility is presented.

Findings
The challenges associated with the presented techniques that prompt possible future research directions are discussed.

Originality/value
Despite considerable progress in the recent years, no comprehensive review on the analytical and computational research techniques to predict aircraft post-stall/ spin characteristics has been undertaken in the recent years.
Regulatory changes and audit fees: the moderating effect of overlapping directorship and financial reporting quality
Authors: Abdulmalik Salau Olarinoye , Che-Ahmad Ayoib 
Published: July 2020

PurposeThis study examines the contemporaneous changes in the reporting regime in Nigeria by investigating the effect of regulatory changes on audit fees as well as the moderating effect of overlapping directorship and financial reporting quality.Design/methodology/approachThis study utilises a longitudinal sample of 409 firm-year observations, from 2008 to 2013, of nonfinancial companies listed on the Nigerian stock exchange. The study uses the general method of moments (GMM) to control for endogeneity concerns.FindingsThe results reveal that, without the moderating effect of overlapping directorship and financial reporting quality, the relationship between regulatory changes and audit fees is positive but weak, which suggests that regulatory changes drive cost. Similarly, the interaction of overlapping directorship did not reverse the positive relationship, which suggests the perceived risk associated with overlapping directorship. However, the improvement in financial reporting quality reverses the relationship, as evidenced by the negative and significant coefficient on the interacted terms.Practical implicationsThis study provides useful insights about committee membership overlap to regulatory authorities concerning the weakness of the monitoring ability of such committees.Originality/valueThe results of this study contribute to the growing literature on regulatory reform, audit fees and corporate governance. Specifically, the study provides empirical evidence on the effect of committee overlap on audit fees, which, to the best of the researchers' knowledge, has received no empirical attention in the Nigerian context.
Analysis of conditions of the quartz surface photochemical polishing by way of profile optimization
Authors: Kanevskii Vasyl , Kolienov Serhii 
Published: July 2020

Purpose
The purpose of this paper is to show the possibility of using the quartz regular surface profile in the form of protrusions and troughs of a triangular shape instead of a random surface profile characterized by a Gaussian correlation function when analyzing the electromagnetic field parameters above the quartz surface to determine the conditions of the effective surface subnano-polishing.

Design/methodology/approach
The numerical determination of the evanescent field optimal configuration formed near the quartz rough surface coated with an aqueous solution of calcium hypochlorite when illuminated from the side of the solution has been considered. The finite-element approach is used to solve the Helmholtz two-dimensional vector equation.

Findings
Conditions of effective photochemical polishing of rough surface with profile in the form of triangular protrusions and troughs to a sub-nanometer level of roughness are found. These optimal conditions are achieved when the light falls normally on the quartz surface and the height of the surface protrusions is small (up to 20 nm).

Originality/value
This paper shows the possibility of simplifying electrodynamic calculations and analyzing an evanescent field near a quartz surface for the purpose of photochemical polishing by replacing the random profile function with a deterministic periodic function. That is, the novelty of this paper, which supplements the works published earlier [Journal of Modern Optics, 67(3) (2020):242–251; Optik, 207 (2020):164438].
A Multi-layer Security approach for DDoS detection in Internet of Things
Authors: Feroz Khan A.B. , G Anandharaj 
Published: July 2020

PurposeThe purpose of the paper is to analyze the layer wise security issues in IoT and to obtain the effective security mechanism for jamming attack .Design/methodology/approachIn this study, the authors proposed a multi layer security approach for the detection of DDoS in IoT environment, which protects the smart devices from DDoS, this scheme also reduces the computational cost in the network under mobility condition.FindingsEven though many works have been done for the security of wireless sensor network (WSN), all works have focused on encryption which depends on the key management strategy. In this study, the authors proposed a multilayer approach to analyze the layer wise security issues and also proposed a threshold-based countermeasure (TBC) for replay attack in each layer.Originality/valueThe results indicate that the proposed algorithm lowers the computational costs and energy consumption than in modern schemes. Also, the proposed research work improves the scalability of sensor networks using the TBC.
Pediatric and geriatric immunity network mobile computational model for COVID-19
Authors: Priya K. Banu , Rajendran P. , M. Sandeep Kumar , J. Prabhu , Rajendran Sukumar , Kumar P.J. , P. Thanapal , Christopher Jabez , R. Jothikumar 
Published: July 2020

Purpose
The computational model proposed in this work uses the data's of COVID-19 cases in India. From the analysis, it can be observed that the proposed immunity model decides the recovery rate of COVID −19 patients; moreover, the recovery rate does not depend on the age of the patients. These analytic models can be used by public health professionals, hospital administrators and epidemiologists for strategic decision-making to enhance health requirements based on various demographic and social factors of those affected by the pandemic. Mobile-based computational model can be used to compute the travel history of the affected people by accessing the near geographical maps of the path traveled.

Design/methodology/approach
In this paper, the authors developed a pediatric and geriatric person’s immunity network-based mobile computational model for COVID-19 patients. As the computational model is hard to analyze mathematically, the authors simplified the computational model as general COVID-19 infected people, the computational immunity model. The model proposed in this work used the data's of COVID-19 cases in India.

Findings
This study proposes a pediatric and geriatric people immunity network model for COVID- 19 patients. For the analysis part, the data's on COVID-19 cases in India was used. In this model, the authors have taken two sets of people (pediatric and geriatric), both are facing common symptoms such as fever, cough and myalgia. From the analysis, it was observed and also proved that the immunity level of patients decides the recovery rate of COVID-19 patients and the age of COVID-19 patients has no significant influence on the recovery rate of the patient.

Originality/value
COVID-19 has created a global health crisis that has had a deep impact on the way we perceive our world and our everyday lives. Not only the rate of contagion and patterns of transmission threatens our sense of agency, but the safety measures put in place to contain the spread of the virus also require social distancing. The novel model in this work focus on the Indian scenario and thereby may help Indian health organizations for future planning and organization. The factors model in this work such as age, immunity level, recovery rate can be used by machine leaning models for predicting other useful outcomes.
Stock market drivers of retail investors’ sentiment – facets and new evidences from India
Authors: Dasgupta Ranjan , Chattopadhyay Sandip 
Published: July 2020

Purpose
The determinants of investors’ sentiment based on secondary stock market proxies in many empirical studies are reported. However, to the best of our knowledge, no study undertakes investor sentiment drivers developed from primary survey measures by constructing an investor sentiment index (ISI) in relation to market drivers to date. This study aims to fill this research gap by first developing the ISI for the Indian retail investors and then examining which of the stock market drivers impacts such sentiment.

Design/methodology/approach
The ISI is constructed using the mean scores of eight statements as formulated based on popular direct investor sentiment surveys undertaken across the world. Then, we use the multiple regression approach overall and for top 33.33% (high-sentiment) and bottom 33.33% (low-sentiment) investors based on the responses of 576 respondents on 18 statements (proxying eight study hypotheses) collected in 2016. Moreover, the demography-based classification based investors’ sentiment is examined to make our results more robust and in-depth.

Findings
On an overall basis, the IPO activities/issues and information certainty, trading volume and momentum and institutional investors’ investment activities market drivers significantly and positively impact retail investors is examined. However, only IPO activities/issues and information certainty influences both high- and low-sentiment investors. It is intriguing to report that nature of the stock markets show conflicting results for high- (negative significant) and low- (positive significant) sentiment investors.

Originality/value
The construction of the ISI from primary survey measure is for the first time in Indian context in relation to investigating the stock market drivers influential to retail investors’ sentiment. In addition, hypothesized market drivers are also unique, each representing different fundamental and technical characteristics associated with the Indian market.
Air pollution, auditors' pessimistic bias and audit quality: evidence from China
Authors: Chen Huangyue , Tan Xiaoping , CAO Qun 
Published: July 2020

Purpose
This paper aims to investigate whether and how air pollution affects auditor behavior and audit quality. Specifically, the authors draw from studies of behavioral economics and psychology to develop a new prediction that air pollution-induced negative mood causes pessimistic bias in auditors’ risk assessments of client firms, which motivates them to put more effort into achieving higher audit quality.

Design/methodology/approach
This study uses a sample of Chinese public firms for the period 2013 to 2018 and an ordinary least squares model to examine the effects of air pollution on audit quality.

Findings
The results suggest that auditors exposed to higher levels of air pollution are more likely to put more effort into their audits, resulting in higher audit quality. Furthermore, the impacts of air pollution on audit quality are more pronounced when an auditor has a higher level of education, a major in accounting or a related subject and a position as a partner. A series of identification tests and sensitivity tests further support the main findings.

Practical implications
This study provides deeper insight into how air pollution affects auditors’ decision-making through its effect on mood.

Social implications
The findings have broad potential implications for auditing and other high-skill professions. Because air pollution-induced negative mood is a common occurrence and numerous psychological experiments have demonstrated the potentially adaptive and beneficial role of negative mood in decision-making for professions like auditing that need a more conservative, alert and detail-oriented cognitive style, negative mood may to some extent facilitate decision-making. Professionals may benefit from paying closer attention to the adaptive benefits of different moods.

Originality/value
Few studies empirically discuss the effects of auditors’ psychology on audit outcomes. This study responds to this research gap with analyzes of how air pollution-induced negative mood can affect auditors’ professional judgment and audit outcomes. Further, this study adds to the growing literature that examines how air pollution affects various aspects of the economy and enriches the literature on behavioral economics, providing empirical evidence from a large sample of the effects of an environmental stressor on individual auditors’ professional judgment.
Factors influencing successful hazard analysis and critical control point (HACCP) implementation in hypermarket stores
Authors: Kuo Shih-Chi , Hsiao Hsin-I 
Published: July 2020

PurposeIn Taiwan, hypermarket stores should implement hazard analysis and critical control point (HACCP) according to regulations. The aim of this study was to investigate key factors influencing successful implementation of HACCP in hypermarket stores that prepare hot meals.Design/methodology/approachWe used a survey design and thus posted four questionnaires to each of the 136 hypermarket stores in Taiwan (two questionnaires for employees and two for managers). Therefore, a total of 544 questionnaires were posted, and 188 responses were received, yielding a 34.6% response rate.FindingsFood safety knowledge, teamwork, perceived cost, perceived benefit and leadership were tested. Binary logistic regression results indicated that food safety knowledge and teamwork were key factors related to successful HACCP implementation. Perceived cost, perceived benefit and leadership were not related to successful HACCP implementation. Control variables, such as number of full-time employees and number of products sold, were discovered to be related to successful HACCP implementation.Originality/valueOverall, the findings of this study can help the hypermarket industry assess its current quality management practices and focus on food safety performance improvement.