bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chronic hyperglycemia drives alterations in macrophage effector function in pulmonary tuberculosis
Authors: Panda Sudhasini , Seelan Diravya M , Faisal Shah , Luthra Kalpana , Palanichamy Jayanth Kumar , Mohan Anant , Vikram Naval K , Gupta Neeraj Kumar , Ramakrishnan Lakshmy , Singh Archana 
Published: January 2022

ABSTRACTBackgroundThe rising prevalence of Diabetes mellitus (DM) in high TB endemic countries has the potential to adversely affect sustainability of TB control since DM can lead to alterations in both innate and adaptive immune response constituting as a risk factor for development of active tuberculosis (TB). The impact of hyperglycemia on TB specific innate immune response in terms of macrophage functions remains poorly addressed.Material and methodsMacrophage effector functions in diabetic and non-diabetic individuals with and without PTB infection as well as non-diabetic-uninfected controls (fifty individuals in each group) were assessed. Phagocytic capacity against BCG and surface expression of PRRs (CD11b, CD14, CD206, MARCO and TLR2) were measured via flow cytometry. Effector molecules (ROS and NO) were assessed via DCFDA and Griess reaction respectively.ResultsA systematic dysregulation in phagocytic capacity with concurrent alterations in expression pattern of key PRRs (CD11b, MARCO and CD206) and effector molecules (ROS and NO) was observed in diabetic individuals with PTB. These altered macrophage functions were positively correlated with increase in disease severity in diabetic individuals.ConclusionOur results highlight several key patterns of immune dysregulation against M.Tb under hyperglycemic conditions. A significant reduction in macrophage effector functions in infected diabetic individuals which further correlated with increase in disease severity reveals a negative impact of hyperglycemia with aetiology and pathological progression of TB.
Infection strategy and biogeography distinguish cosmopolitan groups of marine jumbo bacteriophages
Authors: Weinheimer Alaina R. , Aylward Frank O. 
Published: January 2022

ABSTRACTRecent research has underscored the immense diversity and key biogeochemical roles of large DNA viruses in the ocean. Although they are important constituents of marine ecosystems, it is often difficult to detect these viruses due to their large size and complex genomes. This is true for “jumbo” bacteriophages, which have genome sizes >200 kbp and large capsids reaching up to 0.45 μm in diameter. In this study, we sought to assess the genomic diversity and distribution of these bacteriophages in the ocean by developing a bioinformatic pipeline to generate and validate jumbo phage genomes from metagenomes. We recover 85 marine jumbo phages that ranged in size from 201-498 kilobases, and we examine their genetic similarities and biogeography together with a reference database of marine jumbo phage genomes. By analyzing Tara Oceans metagenomic data we show that jumbo phages are less common in <0.22 μm size fractions but are widespread in larger fractions, consistent with their large size. Our network-based analysis of gene sharing patterns reveals that jumbo bacteriophage belong to five genome clusters that are typified by diverse replication strategies, genomic repertoires, and potential host ranges. Our analysis of jumbo phage distributions in the ocean reveals that depth is a major factor shaping their biogeography, with some phage genome clusters exhibiting higher relative abundance in either surface or mesopelagic waters, respectively. Taken together, our findings demonstrate that jumbo phages are widespread community members in the ocean with complex genomic repertoires and ecological impacts that warrant further targeted investigation.
Algorithms for Estimating Time-Locked Neural Response Components in Cortical Processing of Continuous Speech
Authors: Kulasingham Joshua P. , Simon Jonathan Z. 
Published: January 2022

AbstractObjectiveThe Temporal Response Function (TRF) is a linear model of neural activity time-locked to continuous stimuli, including continuous speech. TRFs based on speech envelopes typically have distinct components that have provided remarkable insights into the cortical processing of speech. However, current methods may lead to less than reliable estimates of single-subject TRF components. Here, we compare two established methods, in TRF component estimation, and also propose novel algorithms that utilize prior knowledge of these components, bypassing the full TRF estimation.MethodsWe compared two established algorithms, ridge and boosting, and two novel algorithms based on Subspace Pursuit (SP) and Expectation Maximization (EM), which directly estimate TRF components given plausible assumptions regarding component characteristics. Single-channel, multi-channel, and source-localized TRFs were fit on simulations and real magnetoencephalographic data. Performance metrics included model fit and component estimation accuracy.ResultsBoosting and ridge have comparable performance in component estimation. The novel algorithms outperformed the others in simulations, but not on real data, possibly due to the plausible assumptions not actually being met. Ridge had slightly better model fits on real data compared to boosting, but also more spurious TRF activity.ConclusionResults indicate that both smooth (ridge) and sparse (boosting) algorithms perform comparably at TRF component estimation. The SP and EM algorithms may be accurate, but rely on assumptions of component characteristics.SignificanceThis systematic comparison establishes the suitability of widely used and novel algorithms for estimating robust TRF components, which is essential for improved subject-specific investigations into the cortical processing of speech.
Avoiding Whig interpretations in historical research: an illustrative case study
Authors: Vasconcelos Angélica , Sangster Alan , Rodrigues Lúcia Lima 
Published: January 2022

PurposeThe main aim of this paper is to illustrate the importance of avoiding Whig interpretations in historical research. It does so by highlighting examples of what may occur when this is not done. The paper also aims to promote interdisciplinarity, in the form of working with those from other disciplines, as a means to avoid this occurring.Design/methodology/approachThis paper includes an in-depth study of the bookkeeping and financial reporting of two 18th century Portuguese state-sponsored companies using archival sources. The companies were selected because of conflicting insights across disciplines concerning the quality of their bookkeeping and financial reporting – historians have been very critical, while accounting historians have seen little wrong. These differences of opinion have never previously been investigated. The authors demonstrate how information was distributed among the account books and other records of the two companies. The approach adopted enabled a reader to fully understand the recorded economic events. The authors also present and explain the procedures, criteria and accounting terminology used in their annual reports.FindingsThis paper demonstrates how easy is to inadvertently adopt a Whig interpretation of accounting history when the focus of interest is something of which the principal researcher has insufficient understanding or expertise. It also illustrates how important it is to embrace interdisciplinarity by working with those from other discipline to avoid doing so.Research limitations/implicationsThe conclusions from the case study are company-specific and cannot be generalised beyond those companies. However, the implications of this study go beyond the companies in its illustration of the importance of fully understanding historical evidence within its own context.Originality/valueThis paper unveils primary archival sources never previously presented in the literature. It also contributes to the literature by providing an evidence-based justification for the calls previously made to accounting historians to study accounting in its social context and engage with historians from other disciplines.
Suspected feigning of autism in adults: a clinician survey, indications and proposed guidelines
Authors: Murphy David , Broyd Josephine Grace 
Published: January 2022

Purpose
This paper aims to provide a discussion and summary of a clinician survey exploring the experiences of suspected feigned autism.

Design/methodology/approach
This study is an online survey targeting a range of autism professionals, with varying levels of experience, working in different clinical settings.

Findings
Approximately half of the professionals who completed the survey reported experiencing situations of suspected feigning of adult autism across a range of clinical contexts and with various motivations. In terms of best indications of potential feigning, most clinicians reported “textbook” self-descriptions of problem behaviours with vague examples, as well as inconsistent presenting problems and mismatch with any known developmental history. Approximately half of clinicians expressed the view that autism was more difficult to feign than a psychiatric disorder and had experienced situations involving differences in professional opinion as to an individual autism diagnosis.

Research limitations/implications
The survey is limited by a potential sample bias and no information regarding the clinical characteristics of those suspected to have feigned autism. However, these initial findings offer further questions for future research to pursue.

Originality/value
As an initial examination of practicing clinicians’ experiences of suspected feigned autism, the survey highlights the complexities of an autism diagnosis and suggests feigning is a potential clinical scenario. Some guidance as to when to suspect possible feigned autism is also offered, as well as a provisional assessment protocol.
Database design of the Malaysia public figures web archive repository: a social and cultural heritage web collections
Authors: Saiful Bahry Farrah Diana , Amran Noraizan , Putri Tesa Eranti , Ramli Muhammad Idzwan 
Published: January 2022

Purpose
The growth of web emerging technology and data visual demand from the World Wide Web (WWW) makes the need for information repositories become vital. Proper database development will assure the repository managing web content effectively aligns with web archive metadata standards. This paper aims to present the database design process for web archive content repository specifically to maintain social and cultural heritage values upon Malaysians as Mfigures.

Design/methodology/approach
The empirical process start with literature review and validation from expert on the elements and scopes of research. Then, structured database design guideline which part of database life cycle (DBLC) was applied and combined with the step of comparative and mapping the conceptual model with metadata standard that is relevant with web archive content. The paper focuses on the first three stages: Database Initial Study, web archiving and Metadata standard mapping; and conceptual design to focus on data modelling. Another two stages of database design are logical design and physical design will be exposed later.

Findings
The empirical process has produced initial conceptual data model, database structure that can be a basis of web archiving repository. The data model had also been verified with metadata data standards to assure the database structure implementation cater the need of web archiving repository features especially web information discovery.

Research limitations/implications
Nevertheless, database design is the most effective way to develop good information architecture on the Net, but the absence of some important fields on related tables have been identified such as subject, language, coverage, right, publisher and contributor. The MFigures’ database schema will continuously improve for better scope and coverage of web archive content suite with future information demands on the WWW.

Practical implications
The conceptual data model act as a communication tool by the technical team in web application development. It can be revisited to suite with other different database management system or to suite with other similar scope of information repository requirements.

Social implications
Mfigures was uniquely designed for collecting Malaysian social and cultural heritage, which are rarely design before, and it can be beneficial as Malaysia society future references for excellent motivations roles and successful stories.

Originality/value
The Mfigure conceptual data model was empirically design and gone through a proper validation process by the industrial and academic experts.
Bifurcation analysis and chaos control in Zhou's dynamical system
Authors: Aly E. S. , El-Dessoky M. M. , Yassen M. T. , Saleh E. , Aiyashi M. A. , Msmali Ahmed Hussein 
Published: January 2022

PurposeThe purpose of the study is to obtain explicit formulas to determine the stability of periodic solutions to the new system and study the extent of the stability of those periodic solutions and the direction of bifurcated periodic solutions. More than that, the authors did a numerical simulation to confirm the results that the authors obtained and presented through numerical analysis are the periodic and stable solutions and when the system returns again to the state of out of control.Design/methodology/approachThe authors studied local bifurcation and verified its occurrence after choosing the delay as a parameter of control in Zhou 2019’s dynamical system with delayed feedback control. The authors investigated the normal form theory and the center manifold theorem.FindingsThe occurrence of local Hopf bifurcations at the Zhou's system is verified. By using the normal form theory and the center manifold theorem, the authors obtain the explicit formulas for determining the stability and direction of bifurcated periodic solutions. The theoretical results obtained and the corresponding numerical simulations showed that the chaos phenomenon in the Zhou's system can be controlled using a method of time-delay auto-synchronization.Originality/valueAs the delay increases further, the numerical simulations show that the periodic solution disappears, and the chaos attractor appears again. The obtained results can also be applied to the control and anti-control of chaos phenomena of system (1). There are still abundant and complex dynamical behaviors, and the topological structure of the new system should be completely and thoroughly investigated and exploited.
Distributed innovation, digital entrepreneurial opportunity, IT-enabled capabilities, and enterprises' digital innovation performance: a moderated mediating model
Authors: Tang Hongjuan , Yao Qi , Boadu Francis , Xie Yu 
Published: January 2022

PurposeAs an important driving factor of digital innovation, distributed innovation has received extensive attention from academia and business circles in recent years. However, extant works lack a discussion on the influence of distributed innovation on digital innovation performance. Drawing on the opportunity perspective, the study constructs a moderated mediating model to address how distributed innovation directly affects enterprises' digital innovation performance. Particularly, it investigates the moderating and mediating effects of IT-enabled capabilities and digital entrepreneurial opportunities on the above correlation.Design/methodology/approachWith a survey data set of 399 Chinese science and technology enterprises, the study conducts hierarchical linear modeling (HLM) and bootstrap to test the study’s hypotheses.FindingsResults demonstrate that (1) distributed innovation positively enhances enterprises' digital innovation performance; (2) digital entrepreneurial opportunities partially mediate the positive relationship between distributed innovation and digital innovation performance; (3) IT-enabled capabilities positively moderate the relationship between distributed innovation and digital entrepreneurial opportunities; (4) IT-enabled capabilities positively moderate the mediating role of digital entrepreneurial opportunities in the relationship between distributed innovation and digital innovation performance.Originality/valueThis is an empirical study on the impact mechanism of IT-enabled capabilities and digital entrepreneurial opportunities on the relationship between distributed innovation and digital innovation performance in China. It advances theories related to distributed innovation, digital innovation and digital entrepreneurial opportunities, and provides decision-making references for the enhancement of digital innovation capabilities of science and technology enterprises.
“I need some space!” deciphering space tourism discussions on social media
Authors: Gulati Shruti 
Published: January 2022

Purpose
Space tourism is fairly neglected in academic research and requires further exploration. Public reaction on social media offers great insights to understand the patterns of behaviour but is often ignored as a potential data source. Thus, this study aims to fill the gap by add to the literature on space tourism, social media analytics and behaviour.

Design/methodology/approach
The study adopts a qualitative approach and uses Twitter data for drawing conclusions. An exploratory design is used by analysing 10,000 tweets through unsupervised machine learning and two sets of analysis were conducted. First, sentiment analysis is performed using NRC Emotion Lexicon, which classifies the data as per eight basic emotions and polarity as positive and negative. The findings are complemented with a comparison cloud. Second, LDA Topic modelling using Gibbs Method is used to find ten broad topics that are used for discussions in space tourism tweets. Data visualisation technique is used to depict results using R language on RStudio.

Findings
A total of 21,784 emotions have tapped using the NRC Emotion Lexicon. Results indicate the dominance of positive sentiments (25%) with it surpassing the negative sentiments by many folds. The top emotions include trust and anticipation. The LDA-based Topic modelling identified seven correlated topic models that have been grouped by the author as space tourism in media, aspirations, ethical issues, criticism, descriptive, symbolism and miscellaneous.

Originality/value
To the best of the author’s knowledge, no study has attempted to study the response of space tourism on social media by tapping discussions in the form of Tweets. Thus, this study adds extensively and acts as a preliminary investigation on the public sentiments of space tourism on social media.
Can educational attainment promote renewable energy consumption? Evidence from heterogeneous panel models
Authors: Jamshid Jamshid , Villanthenkodath Muhammed Ashiq , Velan Nirmala 
Published: January 2022

Purpose
For mitigating climate change, renewable energy consumption is recognized as one of the policy measures worldwide. However, there is a dearth of empirical studies focusing on education as one of the determinants of renewable energy consumption in the existing literature. Thus, this study aims to explore the impact of education, economic growth and foreign direct investment, financial development, CO2 emissions and urbanization on renewable energy consumption.

Design/methodology/approach
This study considers a balanced panel of selected South Asian Association of Regional Cooperation (SAARC) countries, namely, India, Pakistan, Sri Lanka, Nepal and Bangladesh, during the period 1995–2015. The study uses sophisticated second-generation panel data models for empirical analysis.

Findings
The result reveals that education and economic growth significantly enhance renewable energy consumption, whereas foreign direct investment, financial development, CO2 emissions and urbanization reduce it. Further, unidirectional causality from education, economic growth and urbanization to renewable energy consumption was observed, whereas a bidirectional causality was found between renewable energy consumption and financial development.

Practical implications
The emanated finding of this study is supposed to be helpful for the environmentalists, economists, banking sector and the practitioners in urban development can take insights from the study while framing the energy policy.

Originality/value
This is the first study that examines the role of education on renewable energy consumption in heterogeneous panel data settings for the selected SAARC countries.
A multi-stakeholder ethical framework for AI-augmented HRM
Authors: Prikshat Verma , Patel Parth , Varma Arup , Ishizaka Alessio 
Published: January 2022

PurposeThis narrative review presents a multi-stakeholder ethical framework for AI-augmented HRM, based on extant research in the domains of ethical HRM and ethical AI. More specifically, the authors identify critical ethical issues pertaining to AI-augmented HRM functions and suggest ethical principles to address these issues by identifying the relevant stakeholders based on the responsibility ethics approach.Design/methodology/approachThis paper follows a narrative review approach by first identifying various ethical/codes/issues/dilemmas discussed in HRM and AI. The authors next discuss ethical issues concerning AI-augmented HRM, drawing from recent literature. Finally, the authors propose ethical principles for AI-augmented HRM and stakeholders responsible for managing those issues.FindingsThe paper summarises key findings of extant research in the ethical HRM and AI domain and provides a multi-stakeholder ethical framework for AI-augmented HRM functions.Originality/valueThis research's value lies in conceptualising a multi-stakeholder ethical framework for AI-augmented HRM functions comprising 11 ethical principles. The research also identifies the class of stakeholders responsible for identified ethical principles. The research also presents future research directions based on the proposed model.
Wear behavior and mechanical properties of AA8090 aluminum alloy reinforced with B4C-Al2O3 hybrid nanoparticles
Authors: Narasimmalu Ramasubbu , Sundaresan Ramabalan 
Published: January 2022

Purpose
AA8090 aluminum alloy is used in industrial applications for weight reduction purposes. However, its usage is limited due to shortcomings such as low wear resistance. Hence, the purpose of this study is to improve the wear properties of the material. A particle strengthening mechanism was tried to improve the wear properties of materials.

Design/methodology/approach
AA8090 aluminum alloy composites were prepared by stir casting methods using AA8090, boron carbide (B4C) and aluminum oxide (Al2O3) materials. Totally, four different types of composites were prepared, namely, AA/3Al, AA/1BC-2Al, AA/2BC-1Al and AA/3BC. Wear behavior and mechanical properties of the composites were analyzed by conducting wear test, microhardness test, tensile test and morphological analysis.

Findings
Results showed that the composite materials showed superior properties compared with AA8090 alloy due to the reinforcing effect of B4C and Al2O3 particles. Further, the AA/3BC composite showed 12.9% and 10.8% enhancement in microhardness and tensile strength, respectively. Further, a minimum wear rate of 0.009 × 10–3 mm3/m was observed for AA/3BC composite.

Originality/value
This study is original and would add new information to the literature. Further, it solves the problem of low wear resistance issues in AA8090 aluminum alloy materials.