bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mitochondrial respiration contributes to the interferon gamma response in antigen presenting cells
Authors: Kiritsy Michael C. , Mott Daniel , Behar Samuel M. , Sassetti Christopher M. , Olive Andrew J. 
Published: November 2020

AbstractThe immunological synapse allows antigen presenting cells (APC) to convey a wide array of functionally distinct signals to T cells, which ultimately shape the immune response. The relative effect of stimulatory and inhibitory signals is influenced by the activation state of the APC, which is determined by an interplay between signal transduction and metabolic pathways. While toll-like receptor ligation relies on glycolytic metabolism for the proper expression of inflammatory mediators, little is known about the metabolic dependencies of other critical signals such as interferon gamma (IFNγ). Using CRISPR-Cas9, we performed a series of genome-wide knockout screens in macrophages to identify the regulators of IFNγ-inducible T cell stimulatory or inhibitory proteins MHCII, CD40, and PD-L1. Our multi-screen approach enabled us to identify novel pathways that control these functionally distinct markers. Further integration of these screening data implicated complex I of the mitochondrial respiratory chain in the expression of all three markers, and by extension the IFNγ signaling pathway. We report that the IFNγ response requires mitochondrial respiration, and APCs are unable to activate T cells upon genetic or chemical inhibition of complex I. These findings suggest a dichotomous metabolic dependency between IFNγ and toll-like receptor signaling, implicating mitochondrial function as a fulcrum of innate immunity.
Antagonistic modules, SIB1 and LSD1, regulate photosynthesis-associated nuclear genes via GOLDEN2-LIKE transcription factors in Arabidopsis
Authors: Li Mengping , Lee Keun Pyo , Liu Tong , Vivek Dogra , Duan Jianli , Li Mengshuang , Xing Weiman , Kim Chanhong 
Published: November 2020

ABSTRACTGOLDEN2-LIKE (GLK) transcription factors drive the expression of photosynthesis-associated nuclear genes (PhANGs), indispensable for chloroplast biogenesis. We previously demonstrated that the salicylic acid (SA)-induced SIGMA FACTOR-BINDING PROTEIN 1 (SIB1), a transcription coregulator and positive regulator of cell death, interacts with GLK1 and GLK2 to reinforce their activities. The SIB1-GLK interaction raises the level of light-harvesting antenna proteins in photosystem II, aggravating photoinhibition and singlet oxygen (1O2) burst.1O2then contributes to SA-induced cell death via EXECUTER 1 (EX1,1O2sensor protein)-mediated retrograde signaling upon reaching a critical level. We now reveal that LESION-SIMULATING DISEASE 1 (LSD1), a transcription coregulator and negative regulator of SA-primed cell death, interacts with GLK1/2 to repress their activities. Consistently, the overexpression of LSD1 represses GLK target genes including PhANGs, whereas the loss of LSD1 increases their expression. Remarkably, LSD1 overexpression inhibits chloroplast biogenesis, resembling the characteristicglk1glk2double mutant phenotype. The subsequent chromatin immunoprecipitation analysis coupled with quantitative PCR further reveals that LSD1 inhibits the DNA-binding activity of GLK1 towards its target promoters. The SA-induced nuclear-targeted SIB1 appears to counteractively interact with GLK1/2, leading to the activation of EX1-mediated1O2signaling. Taken together, we provide a working model that SIB1 and LSD1, mutually exclusive SA-signaling components, antagonistically regulate GLK1/2 to fine-tune the expression of PhANGs, thereby modulating1O2homeostasis and related stress responses.
Low prevalence of naturalWolbachiain major malarial vectorsAnopheles culicifaciess.l., andAnopheles stephensi:a first report
Authors: Sankar S. Gowri , Sundari T. Mowna , Anand A. Alwin Prem 
Published: November 2020

AbstractWolbachiais an alpha-proteobacteria present in several arthropods. The present study focussed on the identification ofWolbachiainAnopheles culicifaciess.l., andAnopheles stephensi, which are wild malarial vector mosquitoes in India. A total of four hundred and eighty seven adult female mosquito samples were collected using taxonomic keys and confirmed by molecular analysis where 48.25% wasAnopheles culicifaciess.l., and 51.75% wasAnopheles stephensi. The presence ofWolbachiawas identified using16SrRNA,wspandFtsZgenes, where nested PCR of16SrRNA alone was successful and sequenced. Only seven mosquitoes (1.4%) were positive forWolbachia. In silicoand restriction digestion of16SrRNA gene product using RsaI enzyme showed that the identifiedWolbachiabelongs to supergroup B, which is further supported by phylogenetic analysis. Low prevalence rate of naturalWolbachiawas observed inAn. culicifaciess.l. (1.7%) andAn. stephensi(1.2%). This is the first report on the presence ofWolbachiainAnopheles culicifaciess.l. andAnopheles stephensi.
Nuclear Morphology Optimized Deep Hybrid Learning (NUMODRIL): A novel architecture for accurate diagnosis/prognosis of Ovarian Cancer
Authors: Sengupta Duhita , Ali Sk Nishan , Bhattacharya Aditya , Mustafi Joy , Mukhopadhyay Asima , Sengupta Kaushik 
Published: November 2020

AbstractNuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyse the malignant potential of cancer cells. Considering the structural alteration of nucleus in cancer cells, various groups have developed machine learning techniques based on variation in nuclear morphometric information like nuclear shape, size, nucleus-cytoplasm ratio and various non-parametric methods like deep learning have also been tested for analysing immunohistochemistry images of tissue samples for diagnosing various cancers. Our aim is to study the morphometric distribution of nuclear lamin proteins as a specific parameter in ovarian cancer tissues. Besides being the principal mechanical component of the nucleus, lamins also present a platform for binding of proteins and chromatin thereby serving a wide range of nuclear functions like maintenance of genome stability, chromatin regulation. Altered expression of lamins in different subtypes of cancer is now evident from data across the world. It has already been elucidated that in ovarian cancer, extent of alteration in nuclear shape and morphology can determine degree of genetic changes and thus can be utilized to predict the outcome of low to high form of serous carcinoma. In this work, we have performed exhaustive imaging of ovarian cancer versus normal tissue and introduced a novel Deep Hybrid Learning approach on the basis of the distribution of lamin proteins. Although developed with ovarian cancer datasets in view, this architecture would be of immense importance in accurate and fast diagnosis and prognosis of all types of cancer associated with lamin induced morphological changes and would perform across small/medium to large datasets with equal efficiency.Significance StatementWe have developed a novel Deep Hybrid Learning approach based on nuclear morphology to classify normal and ovarian cancer tissues with highest possible accuracy and speed. Ovarian cancer cells can be easily distinguished from their enlarged nuclear morphology as is evident from lamin A & B distribution pattern. This is the first report to invoke specific nuclear markers like lamin A & B instead of classical haematoxylin-eosin staining in an effort to build parametric datasets. Our approach has been shown to outperform the existing deep learning techniques in training and validation of datasets over a wide range. Therefore this method could be used as a robust model to predict malignant transformations of benign nuclei and thus be implemented in the diagnosis and prognosis of ovarian cancer in future. Most importantly, this method can be perceived as a generalized approach in the diagnosis for all types of cancer.
Diurnal transcript profiling of the diatomSeminavis robustareveals adaptations to a benthic lifestyle
Authors: Bilcke Gust , Osuna-Cruz Cristina Maria , Silva Marta Santana , Poulsen Nicole , D’hondt Sofie , Bulankova Petra , Vyverman Wim , De Veylder Lieven , Vandepoele Klaas 
Published: November 2020

1AbstractCoastal regions contribute an estimated 20% of annual gross primary production in the oceans, despite occupying only 0.03% of their surface area. Diatoms frequently dominate coastal sediments, where they experience large variations in light regime resulting from the interplay of diurnal and tidal cycles. Here, we report on an extensive diurnal transcript profiling experiment of the motile benthic diatomSeminavis robusta. Nearly 90% (23,328) of expressed protein-coding genes and 66.9% (1124) of expressed long intergenic non-coding RNAs (lincRNAs) showed significant expression oscillations and are predominantly phasing at night with a periodicity of 24h. Phylostratigraphic analysis found that rhythmic genes are enriched in deeply conserved genes, while diatom-specific genes are predominantly associated with midnight expression. Integration of genetic and physiological cell cycle markers with silica depletion data revealed potential new silica cell wall associated gene families specific to diatoms. Additionally, we observed 1752 genes with a remarkable semidiurnal (12-h) periodicity, while the expansion of putative circadian transcription factors may reflect adaptations to cope with highly unpredictable external conditions. Taken together, our results provide new insights into the adaptations of diatoms to the benthic environment and serve as a valuable resource for diurnal regulation in photosynthetic eukaryotes.
Self-generation and sound intensity interactively modulate perceptual bias, but not perceptual sensitivity
Authors: Paraskevoudi Nadia , SanMiguel Iria 
Published: November 2020

AbstractThe ability to distinguish self-generated stimuli from those caused by external sources is critical for all behaving organisms. Although many studies point to a sensory attenuation of self-generated stimuli, recent evidence suggests that motor actions can result in either attenuated or enhanced perceptual processing depending on the environmental context (i.e., stimulus intensity). The present study employed 2-AFC sound detection and loudness discrimination tasks to test whether sound source (self- or externally-generated) and stimulus intensity (supra- or near-threshold) interactively modulate detection ability and loudness perception. Self-generation did not affect detection and discrimination sensitivity (i.e., detection thresholds and Just Noticeable Difference, respectively). However, in the discrimination task, we observed a significant interaction between self-generation and intensity on perceptual bias (i.e. Point of Subjective Equality). Supra-threshold self-generated sounds were perceived softer than externally-generated ones, while at near-threshold intensities self-generated sounds were perceived louder than externally-generated ones. Our findings provide empirical support to recent theories on how predictions and signal intensity modulate perceptual processing, pointing to interactive effects of intensity and self-generation that seem to be driven by a biased estimate of perceived loudness, rather by changes in detection and discrimination sensitivity.HighlightsSelf-generation and stimulus intensity interactively shape auditory perception.Supra-threshold self-generated sounds are perceptually attenuated.When near-threshold, perceived intensity is enhanced for self-generated sounds.Self-generation and intensity modulate perceptual bias, rather than sensitivity.Surprise-driven attentional mechanisms may underlie these perceptual shifts.
A meta-analysis of the factors affecting eWOM providing behaviour
Authors: Ismagilova Elvira , Rana Nripendra P. , Slade Emma L. , Dwivedi Yogesh K. 
Published: November 2020

Purpose
Numerous studies have examined factors influencing electronic word of mouth (eWOM) providing behaviour. The volume of extant research and inconsistency in some of the findings makes it useful to develop an all-encompassing model synthesising results. Therefore, the purpose of this study is to synthesise findings from existing studies on eWOM by using meta-analysis, which will help to reconcile conflicting findings of factors affecting consumers’ intention to engage in eWOM communications.

Design/methodology/approach
The findings from 51 studies were used for meta-analysis, which was undertaken using comprehensive meta-analysis software.

Findings
Factors affecting eWOM providing behaviour were divided into four groups: personal conditions, social conditions, perceptual conditions and consumption-based conditions. The results of the meta-analysis showed that out of 20 identified relationships, 16 were found to be significant (opinion seeking, information usefulness, trust in web eWOM services, economic incentive, customer satisfaction, loyalty, brand attitude, altruism, affective commitment, normative commitment, opinion leadership, self-enhancement, information influence, tie strength, homophily and community identity).

Research limitations/implications
One of the limitations of this study is that the studies for this research were collected the only form from Web of Science, Scopus and Business Source such as databases, which result in a limited number of studies available for weight and meta-analysis. A wider range of databases should be used by future research. Also, this study only considered quantitative studies and excluded qualitative studies. Thus, future studies could include both types of studies in the meta-analysis.

Practical implications
By focussing on the best predictors of intention to provide eWOM communications (e.g. self-enhancement and trust in web eWOM services) managers can improve reader engagement and information assimilation. Knowing motivations to engage in eWOM helps platform operators design their service in a more customer-oriented way. By better understanding motivations to engage in eWOM communications marketers and researchers can influence individuals’ online information assimilation which can affect consumer purchase decisions, customer loyalty and consumer commitment to the community.

Originality/value
Applying meta-analysis helped the reconciliation of conflicting findings, enabled investigation of the strengths of the relationships between motivations and eWOM providing behaviour and offered a consolidated view. The results of this study facilitate the advancement of current knowledge of information dissemination on the internet, which can influence consumer purchase intention and loyalty.
Social media use and its impact on intrinsic motivation in Generation Z: a case study from Poland
Authors: Król Karol , Zdonek Dariusz 
Published: November 2020

Purpose
Activities on social platforms affect the audience. They may impact brand perception, purchasing decisions or motivation to act. Motivation makes people behave in certain ways. The purpose of this paper is to analyse the use of social media and its impact on intrinsic motivation, with a focus on Generation Z users (born between 1994 and 2002).

Design/methodology/approach
The authors conducted multifaceted survey research among full-time and part-time students of one of the largest universities in Poland. The survey was carried out on students of three major fields of study. The analysis involved 427 questionnaires. The data was analysed both with unidimensional and two-dimensional statistical analysis.

Findings
Although the respondents indicated some “motivational aspects” of social media usage, most of them were characterised by a passive attitude and infrequent activity on such websites. Not many of the respondents published actively. The respondents expected valuable content but were not inclined to disseminate it.

Originality/value
Publishing of own content and ability to view others’ content in social media may not be enough to increase the user base of a social platform. One way to do this may be narrowing down or diversification of the array of additional services and functionalities that induce users to increase the use rate.
Hand-arm vibration management: an operational health and safety strategy framework
Authors: Edwards David John , Martek Igor , Ejohwomu Obuks , Aigbavboa Clinton , Hosseini M. Reza 
Published: November 2020

PurposeHuman vibration exposure from hand-operated equipment emissions can lead to irreparable and debilitating hand-arm vibration syndrome (HAVS). While work-place health and well-being (H&WB) policies, strategies and procedures have been extensively researched and documented, little has been done to develop a specific strategic framework tailored to the management of hand-arm vibration (HAV). This study fills that gap.Design/methodology/approachA mixed philosophical approach of interpretivism and critical realism is adopted within a case study of a utilities contractor. Within this overarching epistemological design, action research approach is implemented via a three-stage investigation, namely, relevant company H&WB documents and procedures were examined, leading to the formulation of semi-structured interview questioning of the H&WB team. Their responses informed the next line of questions, delivered to middle-management responsible for overseeing H&S.FindingsThe findings are instructive in revealing that while substantial documentation management (augmented with protocols and checks) was in place, the system fell short of implementation within the workforce and thus failed to preserve worker H&WB. The investigation generated recommendations for shoring up H&WB deficiencies observed and developed a theoretical model to represent these. Though these recommendations were developed in response to a specific case, they form the core of a HAV operational H&WB strategy framework with applicability over a broader context.Originality/valueThis research provides unique insight into contemporary industry practices employed to manage HAV in the workplace and represents an invaluable opportunity to learn from prevailing practices and rectify deficiencies observed.
Current scenario of wind power in India, government policies, initiatives, status and challenges
Authors: Satpute Anand Vijay , Kumar E. Vijay 
Published: November 2020

Purpose
This paper aims to review the role of government initiatives for the development of wind power industries in India, to provide better and benevolent policies in the production of wind energy density and to maximize the use of the renewable source of energy which permits to reduce carbon emission from the coal-based power plant and to curtail tackle need of society and mitigate poverty.

Design/methodology/approach
The present study is carried out on the current position of wind power generation in India. Government policies for promoting clean energy and associated problems are also analysed herein detail. However, secondary approaches are opted in terms of alertness of caring for the environment hazardous and reduced the major economies aspects by fulfilling the schema of Kyoto Protocol and Paris Agreement, United Nations Framework Convention on Climate Change.

Findings
The prospective of wind energy generation is huge, as an ancient source of energy, wind can be used both as a source of electricity and for agricultural, irrigation uses. The study of wind turbine blades and its features showed how it can be properly fabricated and used to extract the maximum power, even at variable and low wind speeds.

Research limitations/implications
Although India has achieved a remarkable advancement in wind power sectors, it needs to eradicate all the loopholes to evolve as super power in wind energy sector leaving behind its rivalry China. To do this, it is required to develop in many fields such as skilled manpower, advancement in research and development, grid and turbine installation, proper distribution, smooth land acquisition, modern infrastructure, high investment and above all industry friendly government policy.

Practical implications
The present study finds out effects of wind power energy as a source of renewable energy to mitigate energy crisis.

Social implications
As a source of renewable energy and cost effectiveness, wind power can be evolved as a potential means enhance social life.

Originality/value
The present paper caries out critical analysis for the active use of renewable energy in the present and forthcoming days. Such unique analysis must help India as a developing nation to balance its energy crisis.
Basic psychological needs satisfaction and student engagement: the importance of novelty satisfaction
Authors: Benlahcene Abderrahim , Kaur Amrita , Awang-Hashim Rosna 
Published: November 2020

PurposeThe purpose of this paper is to examine the associations between students' basic psychological needs satisfaction, including novelty satisfaction, and the four aspects of student engagement.Design/methodology/approachData were collected from a total sample of 743 undergraduate students from three public universities in northern Malaysia. Structural equation modelling (SEM) was used to analyse the data.FindingsCompetence and relatedness were positively related to the four aspects of student engagement, while autonomy satisfaction was found to relate to agentic engagement. Novelty satisfaction, on the other hand, is related positively with behavioural, emotional and cognitive engagement.Research limitations/implicationsThe results provide a new understanding on the importance of novelty satisfaction alongside existing needs in self-determination theory (SDT) in enhancing student engagement.Practical implicationsEducators are encouraged to develop strategies to provide novelty support and facilitate students' basic needs satisfaction in order to establish a motivational learning environment that vitalises students' engagement.Originality/valueThis study breaks new ground by testing the unique relationships of novelty satisfaction along with the psychological needs for autonomy, competence and relatedness, with the four aspects of student engagement in higher education.
How bracing and heating regimes influence the fire performance of composite frames
Authors: Bahr Oliver 
Published: November 2020

Purpose
Unbraced one-bay composite frames are an interesting load-bearing structure for buildings with up to three storeys. However, their fire design is demanding given the lack of simplified design methods. This paper aims to deepen the understanding of the load-bearing behaviour of both unbraced and braced frames when exposed to fire.

Design/methodology/approach
In a previous paper, a numerical model for the fire design of these frames was established and validated with good agreement against fire tests. In the current paper, this model was used to compare the typical differences between braced, semi-braced and unbraced composite frames under fire conditions. Further studies addressed the effect of different heating regimes, i.e. partial fire exposure of the columns in the frames and varying location of the ISO standard fire.

Findings
Numerical investigations showed that it is necessary to take local failure and deformation limits of the fire-exposed frames into account. On this basis, unbraced composite frames can compete with braced frames as they have to endure less thermal restraints than braced frames.

Originality/value
In contrast to other investigations on frames, the numerical model is able to take into account the shear failure, which is especially important within the frame corners. Using this model, it is shown that limited sway is reasonable to reduce thermal restraints and hence local stresses. In this regard, the concept of semi-rigid composite joints with a distinct amount of reinforcement has proven to be very rational in fire design.