bluuebunny/crossref_metadata_2025_split huggingface dataset:
arfAantisense RNA regulates MscL excretory activity
Authors: Morra Rosa , Pratama Fenryco , Butterfield Thomas , Tomazetto Geizecler , Young Kate , Lopez Ruth , Dixon Neil 
Published: November 2022

AbstractBacteria adapt to acute changes in their environment by processing multiple input stimuli through signal integration and crosstalk to allow fine tuning of gene expression in response to stress. The response to hypoosmotic shock and ribosome stalling occurs through the action of mechanosensitive channels and ribosome rescue mechanisms respectively. However, it is not known if a mechanistic link exists between these stress response pathways. Here we report that the corresponding Large-conductance mechanosensitive channel (mscL) and Alternative ribosome-rescue factor A (arfA) genes are commonly co-located on the genomes of Gammaproteobacteria and display overlap in their respective 3’ UTR and 3’ CDS. We show this unusual genomic arrangement permits an antisense RNA mediated regulatory control betweenmscLandarfAand this modulates MscL excretory activity inE. coli. These findings highlight a mechanistic link between osmotic and translational stress responses inE. coli, and further elucidates the previously unknown regulatory function ofarfAsRNA.
Saccade-responsive visual cortical neurons do not exhibit distinct visual response properties
Authors: King Chase W. , Ledochowitsch Peter , Buice Michael A. , de Vries Saskia E. J. 
Published: November 2022

AbstractRapid saccadic eye movements are used by animals to sample different parts of the visual scene. Previous work has investigated neural correlates of these saccades in visual cortical areas such as V1, however how saccade-responsive neurons are distributed across visual areas, cell types, and cortical layers has remained unknown. Through analyzing 818 one-hour experimental sessions from the Allen Brain Observatory, we present a large-scale analysis of saccadic behaviors in head-fixed mice and their neural correlates. We find that saccade-responsive neurons are present across visual cortex, but their distribution varies considerably by transgenically-defined cell type, cortical area, and cortical layer. We also find that saccade-responsive neurons do not exhibit distinct visual response properties from the broader neural population, suggesting the saccadic responses of these neurons are likely not predominantly visually-driven. These results provide insight into the roles played by different cell types within a broader, distributed network of sensory and motor interactions.HighlightsSaccadic eye movement behaviors in head-fixed mice tend to occur in bursts, preferentially along the horizontal axis, and do not strongly depend on visual stimulus.Distributions of saccade-responsive neurons vary considerably by transgenically-defined cell type, visual area, and cortical layer. They are most prevalent in dorsal visual areas AL/PM/AM, inhibitory neurons, and deeper cortical layers.The majority of saccade-responsive neurons are selective for saccades in a particular direction, with an overwhelming preference for temporal over nasal saccades.Saccade-responsive neurons do not exhibit distinct visual response properties, suggesting saccade neural responses are not likely to be predominantly visually-driven.
Genome-wide prediction of dominant and recessive neurodevelopmental disorder risk genes
Authors: Dhindsa Ryan S. , Weido Blake , Dhindsa Justin S. , Shetty Arya J. , Sands Chloe , Petrovski Slavé , Vitsios Dimitrios , Zoghbi Anthony W. 
Published: November 2022

AbstractDespite great progress in the identification of neurodevelopmental disorder (NDD) risk genes, there are thousands that remain to be discovered. Computational tools that provide accurate gene-level predictions of NDD risk can significantly reduce the costs and time needed to prioritize and discover novel NDD risk genes. Here, we first demonstrate that machine learning models trained solely on single-cell RNA-sequencing data from the developing human cortex can robustly predict genes implicated in autism spectrum disorder (ASD), developmental and epileptic encephalopathy (DEE), and developmental delay (DD). Strikingly, we find differences in gene expression patterns of genes with monoallelic and biallelic inheritance patterns. We then integrate these expression data with 300 orthogonal features in a semi-supervised machine learning framework (mantis-ml) to train inheritance-specific models for ASD, DEE, and DD. The models have high predictive power (AUCs: 0.84 to 0.95) and top-ranked genes were up to two-fold (monoallelic models) and six-fold (biallelic models) more enriched for high-confidence NDD risk genes than genic intolerance metrics. Across all models, genes in the top decile of predicted risk genes were 60 to 130 times more likely to have publications strongly linking them to the phenotype of interest in PubMed compared to the bottom decile. Collectively, this work provides highly robust novel NDD risk gene predictions that can complement large-scale gene discovery efforts and underscores the importance of incorporating inheritance into gene risk prediction tools (https://nddgenes.com).
Development of an optimized maintenance scheduling for emergency rescue railway wagons using a genetic algorithm: a case study of Iran railways company
Authors: Zavareh Ali , Fallahiarezoudar Ehsan , Ahmadipourroudposht Mohaddeseh 
Published: November 2022

PurposeThis paper aims to optimize the maintenance scheduling of emergency rescue wagons in railway companies using a genetic algorithm (GA). It offers an integrated model for simultaneously solving maintenance planning, preventive maintenance, prognostic information and resource planning from which optimal levels of the system performance in terms of cost and repair time could be determined.Design/methodology/approachThis study initially evaluates the previous types of research in presenting the optimal model of the rescue train wagon for maintenance and repair planning and lists the identified criteria based on experts' opinions using fuzzy analytic hierarchy process (FAHP) and stepwise weight assessment ratio analysis (SWARA) techniques. Then, the final weight of the desired criteria is calculated. Later, the final decision matrix is evaluated by the experts. The final normal decision matrix is formed to select the optimal maintenance and repair planning plan based on the GA. Finally, two strategies including joint optimization strategy of preventive maintenance planning are compared with the independent preventive maintenance planning strategy.FindingsAccording to the primary results, three primary parameters, including technology, human damage caused by negligence and the average failure rate, should be considered for launching the GA model. Based on the results of the second part; by comparing the preventive maintenance planning strategy independently, the joint optimization strategy reduces the total cost of production up to 8.25%. Comparison results show that the total cost of joint optimization production is less than independent preventive maintenance and repair planning. Moreover, the value of total process time in joint optimization strategy was reduced by 1.2% compared to independent preventive maintenance (PM) planning (from 137.90 to 136.20 h).Originality/valueThe novelty of this paper lies on the application of the GAs to develop an optimized PM scheduling to localize the maintenance planning for maximizing productivity, avoid train accidents, reduce costs and increase efficiency and capacity.
The effects of appearance personification of service robots on customer decision-making in the product recommendation context
Authors: Zhang Shengliang , Tang Guanyu , Li Xiaodong , Ren Ai 
Published: November 2022

PurposeThe COVID-19 pandemic has made contactless services such as those provided by robots increasingly pervasive. Some stores are gradually adopting service robots to sell products, which has not been explored in previous research. This study aims to explore how appearance personification of service robots affects customer decision-making in the product recommendation context.Design/methodology/approachBased on authentic in-store product recommendation service interactions, an experiment for three simulated scenarios was conducted and data was collected from 338 valid samples.FindingsThe results show appearance personification has a positive impact on customer purchase behavior while it has negative impacts on customer decision time and degree of hesitation.Originality/valueThis study not only enriches the literature on application scenarios of service robots but also supplements the literature on various customer decision-making variables in the field of service robots. It provides important practical guidance for designing robots to optimize their impact on customer decision-making.
A spatial examination of solar PV adopters in Northern Ireland: the role of housing market and socio-economic characteristics
Authors: MacIntyre Sean , McCord Michael , Davis Peadar T. , Zacharopoulos Aggelos , McCord John A. 
Published: November 2022

Purpose
The purpose of this study is to examine whether PV uptake is associated with key housing market determinants and linked to socio-economic profiles. An abundance of extant literature has examined the role of solar photovoltaic (PV) adoption and user costs, with an emerging corpus of literature investigating the role of the determinants of PV uptake, particularly in relation to the built environment and the spatial variation of PV dependency and dissimilarity. Despite this burgeoning literature, there remains limited insights from the UK perspective on housing market characteristics driving PV adoption and in relation spatial differences and heterogeneity that may exist.

Design/methodology/approach
Applying micro-based data at the Super Output Area-level geography, this study develops a series of ordinary least squares, spatial econometric models and a logistic regression analysis to examine built environment, housing tenure and deprivation attributes on PV adoption at the regional level in Northern Ireland, UK.

Findings
The findings emerging from the research reveal the presence of some spatial clustering and PV diffusion, in line with several existing studies. The findings demonstrate that an urban-rural dichotomy exists seemingly driven by social interaction and peer effects which has a profound impact on the likelihood of PV adoption. Further, the results exhibit tenure composition and “economic status” to be significant and important determinants of PV diffusion and uptake.

Originality/value
Housing market characteristics such as tenure composition across local market structures remain under-researched in relation to renewable energy uptake and adoption. This study examines the role of housing market attributes relative to socio-economic standing for adopting renewable energy.
More than a handshake – knowledge transfer in structured corporate–startup collaboration programs
Authors: Möllmann Juliane 
Published: November 2022

Purpose
This paper aims to review the existing literature on structured corporate–startup collaboration programs (SCSCPs) concerning their objectives and organizational design components. The design components of the program execution are analyzed on how they impact knowledge transfer and how the extant literature on SCSCP considers the knowledge management topic. A new perspective to examine its ramifications will be discussed.

Design/methodology/approach
Through an integrative literature review, 103 papers on the topic of SCSCP are analyzed about references of objectives and design components of the programs.

Findings
The literature shows a strong focus on strategic objectives corporations pursue in implementing an SCSCP. The design components can be divided into governance mode, structural decisions, selection of ventures, program execution and follow up.

Research limitations/implications
The literature review shows a lack of insights into the knowledge transfer process between the corporation and the ventures. Therefore, this study suggests a practice-based, longitudinal perspective on the interaction processes that occur during the program execution of an SCSCP.

Originality/value
Compared to existing literature reviews, the study takes the corporation’s perspective on incubation and acceleration and reveals design components specific to the corporate forms. Furthermore, SCSCPs center around strategic value generation and the design of the programs can vary highly. It is proposed that knowledge transfer is the central aspect of corporate programs and that a practice-based perspective would enrich the research on knowledge transfer in highly complex setups like this.
A simultaneous balancing and sequencing algorithm to plan assembly lines in the fashion industry
Authors: Perret Jens K. 
Published: November 2022

PurposeThe purpose of the study is to fill a gap in the literature on mathematical production planning (joint balancing and sequencing) in the fashion industry. It considers in particular situations of mass customization, made-to-measure or small lot sizes.Design/methodology/approachThe paper develops a mathematical model based on product options and attributes instead of fixed variants. It proposes an easy-to-use genetic algorithm to solve the resulting optimization problem. Functionality and performance of the algorithm are illustrated via a computational study.FindingsAn easy-to-implement, yet efficient algorithm to solve the multi-objective implementation of a problem structure that becomes increasingly relevant in the fashion industry is proposed. Implementation of the algorithm revealed that the algorithm is ideally suited to generate significant savings and that these savings are impervious to problem and thus company size.Practical implicationsThe solutions from the algorithm (Pareto-efficient frontier) offer decision-makers more flexibility in selecting those solutions they deem most fitting for their situation. The computational study illustrates the significant monetary savings possible by implementing the proposed algorithm to practical situations.Originality/valueIn contrast to existing papers, for the first time, to the best of the author’s knowledge, the focus of the joint balancing and sequencing approach has been applied in the fashion instead of the automotive industry. The applicability of the approach to specific fields of the fashion industry is discussed. An option and attributes-based model, rarely used in general assembly line sequencingper se, is used for more flexibility in representing a diverse set of model types.
Cognitive Sociolinguistic Variation in the Old Bailey Voices Corpus: The Case for a New Concept‐Led Framework
Authors: Robinson Justyna A. , Weeds Julie 
Published: November 2022

AbstractThe current paper contributes to a greater understanding of concepts in the context of cognitive sociolinguistic variation. We show how concepts, which we root in thesauri‐based units, co‐occur with other concepts and how they vary between and within groups of speakers as represented in historical transcripts from the Old Bailey court. In order to carry out distributional sociosemantic analysis at a conceptual level we have developed a tool which combines word sense disambiguation with dependency analysis, which we refer to asConceptual Dependency Corpus. A case study of gendered concepts from the Old Bailey Voices Corpus demonstrates that there are differences in the usage of concepts both within and between sociodemographic groupings of speakers. In particular, the co‐occurrence distributions of the concepts MAN, WOMAN and CHILD vary according to a speaker's gender and role in the court. By introducing methodological innovations, we empirically elicit socioconceptual polysemy, that is different speakers using the same concept in different ways and propose a framework to analyse and interpret this phenomenon. The results also provide support for engaging computational semantics in researching cognitive and sociolinguistic phenomena.
A critical review of recent knowledge of alcohol's effects on the immunological response in different tissues
Authors: Crotty Kathryn , Anton Paige , Coleman Leon G. , Morris Niya L. , Lewis Sloan A. , Samuelson Derrick R. , McMahan Rachel H. , Hartmann Phillipp , Kim Adam , Ratna Anuradha , Mandrekar Pranoti , Wyatt Todd A. , Choudhry Mashkoor A. , Kovacs Elizabeth J. , McCullough Rebecca , Yeligar Samantha M. 
Published: November 2022

AbstractAlcohol misuse contributes to the dysregulation of immune responses and multiorgan dysfunction across various tissues, which are associated with higher risk of morbidity and mortality in people with alcohol use disorders. Organ‐specific immune cells, including microglia in the brain, alveolar macrophages in the lungs, and Kupffer cells in the liver, play vital functions in host immune defense through tissue repair and maintenance of homeostasis. However, binge drinking and chronic alcohol misuse impair these immune cells' abilities to regulate inflammatory signaling and metabolism, thus contributing to multiorgan dysfunction. Further complicating these delicate systems, immune cell dysfunction associated with alcohol misuse is exacerbated by aging and gut barrier leakage. This critical review describes recent advances in elucidating the potential mechanisms by which alcohol misuse leads to derangements in host immunity and highlights current gaps in knowledge that may be the focus of future investigations.
A cross‐sectional study: Nitrous oxide abuse in Parisian medical students
Authors: Cohen Laury , Duroy David , Perozziello Anne , Sasportes Adrien , Lejoyeux Michel , Geoffroy Pierre A. 
Published: November 2022

AbstractBackground and ObjectivesNitrous oxide (N2O) has euphoric properties, which are associated with an alarming increasing misuse. A lack of data exists regarding medical students. The objectives are: (i) evaluate the prevalence of N2O use and N2O use disorder (NUD) among French medical students, (ii) assess whether education about addictions has an impact on consumption, (iii) draw up clinical profiles of N2O users with or without NUD, (iv) identify factors associated with use and NUD.MethodsA cross‐sectional study among medical students at Université de Paris, using an online questionnaire.ResultsOut of the 981 medical students (29% of the total medical students) who completed the questionnaire, 80% had used N2O. 19% had a mild use disorder, 4% moderate, and 1% severe. N2O use was significantly associated with the use of poppers (p < .0005), alcohol (p < .0005), and cocaine (p = .004). Factors significantly associated with NUD were alcohol use disorder (p = .017), male gender (p = .006), and being part of a student association (p = .0130).Discussion and ConclusionThis survey shows a high prevalence of N2O use and NUD among medical students. It could be explained by the N2O pharmacokinetic profile or by a perception of “harmlessness.” We also identified associated risk factors that may be useful to better identify and treat students seeking help.Scientific SignificanceThis is the first study to evaluate the use of this product among medical students. The evaluation of factors impacting use and dependence is also new in this population, which is at risk of misuse of substances.
Challenge in the boardroom: Director–manager question‐and‐answer interactions at board meetings
Authors: Pernelet Helen R. , Brennan Niamh M. 
Published: November 2022

AbstractResearch question/issueCorporate governance codes of practice require non‐executive directors (NEDs) to challenge and question managers. Prior literature and best practice guidance remain silent on the precise meaning of, and on how directors might execute, “challenge”, and how management might respond. We explore the ways in which NEDs challenge, question, and dissent during board meetings, and how managers respond. We observe, audio‐record, and video‐record three boards during nine board meetings. Our boards are unique in holding part of their meetings in public and part in private.Research findings/insightsOur dataset comprises 418 questions and 510 answers. We develop a typology of NEDs' challenge/questions comprising six categories/48 subcategories and managers' responses/answers comprising eight categories/69 subcategories. Our findings support the assertion that NEDs may be reluctant to offer moderate (i.e., constructive) challenge in public. We find significant differences between the level of dissent and the types of answers offered in public versus in private. We find an association between the type of question asked and the type of answer provided. Who asks and answers questions varies significantly in public versus in private, as do the questions and answers by each board.Theoretical/academic implicationsOur empirical findings suggest board behavior varies in the presence of an audience of stakeholders. In public, boards go through the motions by engaging in the performativity of governance, while more substantive governance occurs in private.Practitioner/policy implicationsWe show that regulatory calls for robust challenge by NEDs have not been met, at least judging by the three boards in our study. There is a lack of guidance and advice on how NEDs should exercise challenge and how managers might respond.
Interactions between microbial activity and bioturbation modes of benthic invertebrates determine nutrient releases from reservoir sediments
Authors: Gautreau Edwige , Volatier Laurence , Nogaro Géraldine , Gouze Emma , Marmonier Pierre , Mermillod‐Blondin Florian 
Published: November 2022

Abstract

Bioturbating invertebrates play key roles in nutrient recycling from sediments to the water column in most lentic ecosystems. Nevertheless, the role of bioturbating fauna on nutrient cycling depends on complex interactions between their bioturbation modes and both the sedimentary conditions and the microbial activity occurring inside sediments.

This study aims to evaluate the effect of different bioturbation modes by two invertebrate species (tubificid worm Tubifex tubifex and chironomid larvae of Chironomus plumosus), on the release of nutrients (NH4+, NO3−, and PO43−) from three different types of sediments characterised by distinct microbial activities and nutrient (N and P) contents. We expected that the influence of a bioturbation mode on nutrient fluxes was dependent on the microbial activity and organic matter processes occurring in sediments.

Aquatic mesocosms were setup in the laboratory with three fauna treatments (i.e. without fauna, with tubificid worms, and with chironomid larvae) and three sediment types (collected in three reservoirs).

The presence of bioturbating invertebrates increased PO43− concentrations into the water column (from 1.3‐ to 17‐fold higher concentrations) depending on the sediments tested. PO43− releases in the water column were positively linked to total P concentration and microbial activity in sediments. The influences of tubificid worms and chironomid larvae on PO43− releases into the water were not only due to their bioturbation modes but also depended on the interactions with P dynamics (e.g. adsorption of PO43− by iron oxides) at the water–sediment interface.

The influence of fauna on the release of dissolved inorganic nitrogen (DIN) varied strongly among sediments due to the control of N cycling by microbial processes. In sediments characterised by the lowest microbial activity, DIN release from sediments to the water column was significantly stimulated by invertebrates (from 1.3‐ to 3.7‐fold higher). In contrast, no fauna effect was detected compared to controls in sediments characterised by the highest microbial activity.

This study demonstrated that the influence of the bioturbation mode on nutrient (i.e. PO43− and DIN) dynamics at the water sediment interface was largely modulated by the intensity of microbial activity and biogeochemical processes occurring in sediments.