bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of ambient day light variations and age on the Iris-pupillary area ratio in beef cattle
Authors: Chojnacka Paulina , Kumar Arun HS 
Published: April 2022

AbstractIntroductionIris-pupillary area ratio (IPR) is an objective and non-invasive index of autonomic nervous system activity and stress, which can be confounded by light intensity or age of an individual. Evaluating the influence of ambient light intensity variations or age on IPR is necessary to improve the validity of IPR for its clinical application in objective assessment of welfare and stress.Materials and MethodsIn this study we evaluated the influence of ambient light intensity variations and age on IPR in beef cattle breeds (Limousin, Belgian Blue and Charolais) and analysed the data using correlation statistics.ResultsThe correlation between the light intensity (20 to 500 lux; r = 0.22, p = 0.08) or age (10 to 145 months, r = 0.20, p = 0.12) and IPR was weak and statistically not significant. A sub-group analysis assessing the influence of gender on correlation between the light intensity and IPR also was not statistically significant.ConclusionOur results suggest that within the ambient light intensity (20 to 500 lux) and age (10 to 145 months) the variation in IPR is minimal. Hence our results validate the merit of IPR in objectively measuring autonomic activity/stress and demonstrate the practicality of using IPR for welfare assessment under ambient light conditions in wider age cohorts of beef cattle.
Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses
Authors: Rivera Rocío Melissa , Goldkamp Anna Katherine , Patel Bhaumik Narendrabhai , Hagen Darren Erich , Soto-Moreno Edgar Joel , Li Yahan , Kim Chris , Miller Cliff , Williams Fred , Jannaman Elizabeth , Xiao Yao , Tribulo Paula , Estrada-Cortés Eliab , Brau-Rodríguez Astrid Roshealy , Hansen Peter James , Wu Zhoulin , Spinka Christine Marie , Martin Neal , Elsik Christine G. 
Published: April 2022

AbstractThe use of assisted reproductive technologies (ART) in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or ART. Fetal ultrasonographies were taken on gestation day 55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈280 days). ART fetuses weighing ≥97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle.
Competition for H2A.Z between genes and repetitive elements establishes response to anti-viral immune activation
Authors: Meng Fanju W , Murphy Kristin E , Makowski Claire E , Murphy Patrick J 
Published: April 2022

AbstractActivation of endogenous retroviruses leads to widespread transcriptional reprograming, affecting innate immune activation, metabolic control, and development. We find that the histone variant H2A.Z plays a central role in orchestrating these responses. Stimulating retroviral expression in zebrafish embryos causes H2A.Z to exit developmental gene promoters, which become silent, and to accumulate specifically at ‘primed’ repetitive elements, which are pre-marked by H3K27ac and H3K9me3. Remarkably, this rewiring is greatly influenced by total H2A.Z abundance, and developmental consequences of retrovirus activation are mitigated by H2A.Z over-expression. Our results uncover mechanisms whereby H2A.Z levels determine sensitivity to retroviral activation, and repetitive elements function as a nuclear sink to dramatically influence total transcriptional output.Abstract Figure
Irrational choices via a curvilinear representational geometry for value
Authors: Jurewicz Katarzyna , Sleezer Brianna J. , Mehta Priyanka S. , Hayden Benjamin Y. , Ebitz R. Becket 
Published: April 2022

AbstractWe make decisions by comparing values, but how is value represented in the brain? Many models assume, if only implicitly, that the representational geometry of value is linear. However, in part due to a historical focus on noisy single neurons, rather than neuronal populations, this hypothesis has not been rigorously tested. Here, we examined the representational geometry of value in the ventromedial prefrontal cortex (vmPFC), a part of the brain linked to economic decision-making. We found that values were encoded along a curved manifold in vmPFC. This curvilinear geometry predicted a specific pattern of irrational decision-making: that decision-makers will make worse choices when an irrelevant, decoy option is worse in value, compared to when it is better. Indeed, we observed these irrational choices in behavior. Together, these results not only suggest that the representational geometry of value is nonlinear, but that this nonlinearity could impose bounds on rational decision-making.
De novosequencing, diploid assembly, and annotation of the black carpenter ant,Camponotus pennsylvanicus, and its symbionts by one person for $1000, using nanopore sequencing
Authors: Faulk Christopher 
Published: April 2022

AbstractThe black carpenter ant (Camponotus pennsylvanicus) is a pest species found widely throughout North America east of the Rocky Mountains. Its frequent infestation in human buildings justifies close genetic examination and its large size and small genome make it ideal for individual sequencing. From a single individual I used long-read nanopore sequencing to assemble a genome of 306 Mb, with an N50 of 565 Kb, and 60X coverage, with quality assessed by a 97.0% BUSCO score, improving upon related ant assemblies. The reads provided secondary information in the form of parasitic and symbiont genomes, as well as epigenetic information. I assembled a complete Wolbachia bacterial isolate with a genome size of 1.2 Mb and 76X coverage, as well as a commensal bacterium of the carpenter ant tribe, the species-specific symbiontBlochmannia pennsylvanicus, at 791 Kb, 2400X coverage, which matched to within 200 bp of its previously published reference. I also produced a complete mitochondrial genome with over 5000X coverage, revealing minor rearrangements and the first assembly for this species. DNA methylation and hydroxymethylation was measured simultaneously at whole genome, base-pair resolution level from the same nanopore reads and confirmed extremely low levels seen in the Formicidae family of Hymenoptera. A phased diploid assembly was built, revealing a moderate level of heterozygosity, with 0.16% of bases having biallelic SNPs from the two parental haplotypes. Protein prediction yielded 20,209 putative amino acid sequences and annotation identified 86% matched to previously known proteins. All assemblies were derived from a single Minion flow cell generating 20 Gb of sequence for a cost of $1047 including all consumable reagents. Adding fixed costs for required equipment and batch costs for reagents brings the cost to assemble an ant-sized genome to less than $5000. Complete analysis was performed in under 1 week on a commodity computer desktop with 64 Gb memory.
Munc13 supports vesicle fusogenicity after disrupting active zone scaffolds and synaptic vesicle docking
Authors: Tan Chao , de Nola Giovanni , Qiao Claire , Imig Cordelia , Brose Nils , Kaeser Pascal S. 
Published: April 2022

AbstractActive zones consist of protein scaffolds that are tightly attached to the presynaptic plasma membrane. They dock and prime synaptic vesicles, couple them to Ca2+ entry, and target neurotransmitter release to postsynaptic receptor domains. Simultaneous RIM+ELKS ablation disrupts these scaffolds, abolishes vesicle docking and removes active zone-targeted Munc13, but some vesicles remain releasable. This enduring vesicular fusogenicity may be Munc13-independent or be mediated by non-active zone-anchored Munc13. We tested its Munc13-dependence by ablating Munc13-1 and Munc13-2 on top of RIM+ELKS in cultured hippocampal neurons. The hextuple knockout synapses lacked docked vesicles, but other ultrastructural features were near-normal despite the strong genetic manipulation. Removing Munc13 in addition to RIM+ELKS further impaired action potential-evoked release by decreasing the remaining pool of releasable vesicles. We conclude that Munc13 can support some fusogenicity without RIM and ELKS, and that presynaptic recruitment of Munc13, even without active zone-anchoring, suffices to generate some fusion-competent vesicles.
Zero-divisor graphs of twisted partial skew generalized power series rings
Authors: Fahmy Mohammed H. , Ageeb Elokl Ahmed , Abdel-Khalek Ramy 
Published: March 2022

PurposeThe aim of this paper is to investigate the relationship between the ring structure of the twisted partial skew generalized power series ring RG,≤;Θ and the corresponding structure of its zero-divisor graph Γ̅RG,≤;Θ.Design/methodology/approachThe authors first introduce the history and motivation of this paper. Secondly, the authors give a brief exposition of twisted partial skew generalized power series ring, in addition to presenting some properties of such structure, for instance, a-rigid ring, a-compatible ring and (G,a)-McCoy ring. Finally, the study’s main results are stated and proved.FindingsThe authors establish the relation between the diameter and girth of the zero-divisor graph of twisted partial skew generalized power series ring RG,≤;Θ and the zero-divisor graph of the ground ring R. The authors also provide counterexamples to demonstrate that some conditions of the results are not redundant. As well the authors indicate that some conditions of recent results can be omitted.Originality/valueThe results of the twisted partial skew generalized power series ring embrace a wide range of results of classical ring theoretic extensions, including Laurent (skew Laurent) polynomial ring, Laurent (skew Laurent) power series ring and group (skew group) ring and of course their partial skew versions.
Performance assessment and ranking of socially responsible companies in India using FAHP, TOPSIS and AltmanZ-score
Authors: Bhuvaneskumar A. , Sivakumar V.J. , Pushparaj Nancyprabha 
Published: March 2022

PurposeThe present study aims to determine and benchmark the performance of socially responsible companies (SRCs) in India based on the financial, value-added and combined performance indicators by addressing the climate change problems at the grass-root level.Design/methodology/approachThe present study has used the traditional financial, value-added and combined performance indicators to evaluate and rank the performance of 14 SRCs under the Bombay stock exchange (BSE)-Greenex sustainability index. The technique for order performance by similarity to ideal solution (TOPSIS) and fuzzy analytic hierarchy process (FAHP) algorithms calculate performance scores and assign weights to the indicators from 2015 to 2019. Further, the AltmanZ-score methodology has been applied to understand the SRCs propensity toward bankruptcy behavior. The parametrict-test is also performed on the outcomes of TOPSIS scores under different categories of indicators to check the statistical significance.FindingsThe performance scores of the TOPSIS algorithm indicate that the financial indicators of SRCs govern the firm performance significantly over the value-added indicators (VAIs). Further, parametrict-test results validate the outcomes of the performance scores by exhibiting that there is no significant difference between the traditional financial and VAIs at a 5% significance level. However, a few SRCs overall performance rankings have improved significantly after including VAIs. Moreover, the AltmanZ-score results also reveal that most of the SRCs evaluated in the study are stable, showcasing consistent performance and absent from bankruptcy behavior.Practical implicationsThe study has practical implications as follows: (1) to facilitate a clear understanding of investors and portfolio managers in selecting appropriate companies under socially responsible investing (SRI); (2) to provide portfolio diversification insights for domestic and international investors besides advocating the necessity of investing in better performing sustainable companies to safeguard their investments against the future uncertainty and (3) the study results would benefit the regulatory bodies to frame appropriate sustainability policy interventions at the organization level.Originality/valueIn the context of ambiguous inferences on the performance of SRI, no prior study has been conducted to assess the performance of SRCs in the Indian version of sustainability index BSE-Greenex.
DRN-GAN: an integrated deep learning-based health degradation assessment model for naval propulsion system
Authors: Gao Jingtong , Dong Shaopeng , Cui Jin , Yuan Mei , Zhao Juanru 
Published: March 2022

PurposeThe purpose of this paper is to propose a new deep learning-based model to carry out better maintenance for naval propulsion system.Design/methodology/approachThis model is constructed by integrating different deep learning algorithms. The basic idea is to change the connection structure of the deep neural network by introducing a residual module, to limit the prediction output to a reasonable range. Then, connect the Deep Residual Network (DRN) with a Generative Adversarial Network (GAN), which helps achieve data expansion during the training process to improve the accuracy of the assessment model.FindingsStudy results show that the proposed model achieves a better prediction effect on the dataset. The average performance and accuracy of the proposed model outperform the traditional models and the basic deep learning models tested in the paper.Originality/valueThe proposed model proved to be better performed naval propulsion system maintenance than the traditional models and the basic deep learning models. Therefore, our model may provide better maintenance advice for the naval propulsion system and will lead to a more reliable environment for offshore operations.
Multi-objective optimization of cycle time and energy consumption in parallel robotic assembly lines using a discrete firefly algorithm
Authors: Soysal-Kurt Halenur , İşleyen Selçuk Kürşat 
Published: April 2022

PurposeAssembly lines are one of the places where energy consumption is intensive in manufacturing enterprises. The use of robots in assembly lines not only increases productivity but also increases energy consumption and carbon emissions. The purpose of this paper is to minimize the cycle time and total energy consumption simultaneously in parallel robotic assembly lines (PRAL).Design/methodology/approachDue to the NP-hardness of the problem, A Pareto hybrid discrete firefly algorithm based on probability attraction (PHDFA-PA) is developed. The algorithm parameters are optimized using the Taguchi method. To evaluate the results of the algorithm, a multi-objective programming model and a restarted simulated annealing (RSA) algorithm are used.FindingsAccording to the comparative study, the PHDFA-PA has a competitive performance with the RSA. Thus, it is possible to achieve a sustainable PRAL through the proposed method by addressing the cycle time and total energy consumption simultaneously.Originality/valueTo the best knowledge of the authors, this is the first study addressing energy consumption in PRAL. The proposed method for PRAL is efficient in solving the multi-objective balancing problem.
Investigating the role of Fintech in the banking industry: what do we know?
Authors: Elia Gianluca , Stefanelli Valeria , Ferilli Greta Benedetta 
Published: March 2022

PurposeIn recent years, the penetration of digital technologies in the financial industry determined the arising of Fintech, which generated a dynamic and rapid change that business operators and supervisory authorities in the banking industry are struggling to follow it. This is especially due to issues affecting financial intermediaries and customers, and potential risks of stability of the financial system. The aim of this paper is to provide a review of Fintech in the banking industry thus to update the knowledge about technology innovation in the banking sector, identify the major trends in the domain and delineate future research directions.Design/methodology/approachThe study reviews 377 articles indexed on Scopus from 2014 to 2021 that focus on Fintech and the banking industry. The methodology adopted is structured in two steps: the keywords selection and the analysis of the documents extracted. The first step identified “Fintech” and “bank” as keywords to be searched within the title, abstract or keywords of documents indexed on Scopus; whereas the second step combined R and VOSviewer to provide a descriptive analysis of the dataset and the analysis of keywords and occurrences, respectively.FindingsResults achieved in the study allow providing a systemic view of the Fintech in the banking industry, including the emergent phenomenon of digital banking. In particular, it is provided with a general overview and descriptive information on the entire sample of documents analyzed, their authors, the keywords used and the most cited works. Besides, a deepening on the model of digital banking is provided, by delineating the six dimensions of the key effects generated by the digital bank model.Originality/valueTwo main elements of originality characterize this study. The first one is related to the fact that few review studies have been published on Fintech in the banking industry, and the second one concerns the multiple dimensions of the impact of Fintech in the banking sector, which includes customer, company, bank, regulation authority and society.
How teachers’ expectations influence their experiences with activity-based workplaces in higher education
Authors: Nooij Bernadette , Kingma Sytze , Veenswijk Marcel 
Published: March 2022

PurposeThe purpose of this paper is to explore the influence of teachers’ expectations on their experiences and satisfaction response dregarding the introduction of activity-based workplaces (ABWs) in a Dutch university of applied sciences.Design/methodology/approachThe first author executed a three-year at-home ethnographic study as senior lecturer at the university in which the research was executed.FindingsTeachers have will expectations, should expectations and want expectations that relate to the stages before, during and after the introduction of ABWs. Unmet should and will expectations negatively affect want expectations and not only influence teachers’ affective commitment to their work but also generate dissatisfaction and even anger toward the organization, showing the importance of monitoring all three types of expectations.Research implicationsUsers evaluate their expectations against their experiences which can lead to the formation of (dis)satisfaction regarding the introduction of ABWs. To explain the satisfaction response, research should consider expectations and experiences.Practical implicationsDiscrepancies between users’ expectations and experiences lead to dissatisfaction with ABWs. Involving users and aiming to capture their expectations in the design support professionals predicting satisfaction and preventing the organization from costly re-refurbishments.Social implicationsExploring users' expectations creates an understanding of users' everyday processes and underlying values which can improve the fit between users and building and reduce costs. Reducing accommodation costs benefits society, as more money can be spent on education.Originality/valueThis paper integrates Lefebvre’s spatial theory and Oliver’s disconfirmation theory to study the influence of expectations on users’ experiences and describes the process before, during and after introducing ABWs.
Standardized outcome measures of mental health in research with older adults who are incarcerated
Authors: Prost Stephanie Grace , Golembeski Cynthia , Periyakoil Vyjeyanthi S. , Arias Jalayne , Knittel Andrea K. , Ballin Jessica , Oliver Heather D. , Tran Nguyen-Toan 
Published: April 2022

Purpose
The targeted use of standardized outcome measures (SOMs) of mental health in research with older adults who are incarcerated promotes a common language that enables interdisciplinary dialogue, contributes to the identification of disparities and supports data harmonization and subsequent synthesis. This paper aims to provide researchers with rationale for using “gold-standard” measures used in research with community-dwelling older adults, reporting associated study sample psychometric indexes, and detailing alterations in the approach or measure.

Design/methodology/approach
The authors highlight the mental health of older adults who are incarcerated. They also discuss the benefits of SOMs in practice and research and then identify gold-standard measures of mental health used in research with community-dwelling older adults and measures used in research with older adults who are incarcerated. Finally, the authors provide several recommendations related to the use of SOMs of mental health in research with this population.

Findings
Depression, anxiety and post-traumatic stress disorder are common among older adults who are incarcerated. Researchers have used a variety of measures to capture these mental health problems, some parallel to those used with community-dwelling samples. However, a more targeted use of SOMs of mental health in research with this population will contribute to important strides in this burgeoning field.

Originality/value
This review offers several practical recommendations related to SOMs of mental health in research with older adults who are incarcerated to contribute to a rigorous evidence base and thus inform practice and potentially improve the health and well-being of this population.
Quality management in industry 4.0 environment: a morphological analysis and research agenda
Authors: Prashar Anupama 
Published: March 2022

PurposeDigitalised and interconnected production systems in the era of fourth industrial revolution or Industry 4.0 (I4.0) have triggered the need of reshaping the traditional Quality Management (QM) models and roles of quality professionals. The purpose of this paper is to review the body of literature on QM in the I4.0 environment (also termed as “Quality 4.0”) and identify future research possibilities.Design/methodology/approachThe morphological analysis (MA) framework is used to identify research gaps in a systematic manner. We present the MA framework based on a literature review of 51 papers on the Australian Business Deans Council (ABDC) list identified using systematic review protocol.FindingsThe MA framework, built on six relevant dimensions, namely, production and operations function, scope of QM activities, enabling technologies, latent capabilities of digitalisation, performance metrics and QM principles, and 41 associated variants, reveals 367 research gaps as an upper bound of opportunities for future research.Originality/valueThis paper is possibly the first to use MA for reviewing the QM literature, presenting important contributions. The MA framework acts as a ready reckoner on the QM in I4.0 literature. It documents research gaps through the construction of a cross-consistency matrix.