bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dinoflagellate Proton-Pump Rhodopsin Gene in Long Island Sound: Diversity and Spatiotemporal Distribution
Authors: Zhang Huan , Nulick Kelly J. , Burris Zair , Pierce Melissa , Ma Minglei , Lin Senjie 
Published: August 2022

AbstractMicrobial proton-pump rhodopsin (PPR), an alternative light-harvesting mechanism to chlorophyll-based photosystems, may contribute significantly to solar energy entry into the marine ecosystem. PPR transforms solar energy to cellular energy used for various metabolic processes in the cells or flagellar movement. Although rhodopsins or their encoding genes have been documented in a wide phylogenetic range of cultured dinoflagellates, information is limited about how widespread and how spatiotemporally dynamical dinoflagellate PPR (DiPPR) are in the marine ecosystem. In this study, using the quantitative PCR method, we investigated the abundance and diversity of DiPPR genes in Long Island Sound (LIS), a temperate estuary, both spatially and temporally in 2010. DiPPR genes were found year-round and throughout LIS, with higher abundances in the eutrophic Western Sound and during April and July. The gene diversity data suggest that there are at least five distinct rhodopsin-harboring groups of dinoflagellates throughout the year. The abundance of DiPPR genes, measured as copy number per mL seawater, appeared not to be influenced by water temperature and nitrogen nutrient concentration; however, weak negative correlations with orthophosphate concentration and salinity and a positive correlation with the abundance of typical-DiPPR-harboring dinoflagellates were observed. The association of DiPPR with phosphorus nutrition warrants further studies.
Antigen presentation dynamics shape the response to emergent variants like SARS-CoV-2 Omicron strain after multiple vaccinations with wild type strain
Authors: Yang Leerang , Van Beek Matthew , Wang Zijun , Muecksch Frauke , Canis Marie , Hatziioannou Theodora , Bieniasz Paul D. , Nussenzweig Michel C. , Chakraborty Arup K. 
Published: August 2022

SummaryThe Omicron variant of SARS-CoV-2 evades neutralization by most serum antibodies elicited by two doses of mRNA vaccines, but a third dose of the same vaccine increases anti-Omicron neutralizing antibodies. By combining computational modeling with data from vaccinated humans we reveal mechanisms underlying this observation. After the first dose, limited antigen availability in germinal centers results in a response dominated by B cells with high germline affinities for immunodominant epitopes that are significantly mutated in an Omicron-like variant. After the second dose, expansion of these memory cells and differentiation into plasma cells shape antibody responses that are thus ineffective for such variants. However, in secondary germinal centers, pre-existing higher affinity antibodies mediate enhanced antigen presentation and they can also partially mask dominant epitopes. These effects generate memory B cells that target subdominant epitopes that are less mutated in Omicron. The third dose expands these cells and boosts anti-variant neutralizing antibodies.
Mapping the GALNT1 substrate landscape with versatile proteomics tools
Authors: Saei Amir Ata , Lundström Susanna L. , Lyu Hezheng , Gharibi Hassan , Lu Weiqi , Fang Pan , Zhang Xuepei , Meng Zhaowei , Wang Jijing , Gaetani Massimiliano , Végvári Ákos , Gygi Steven P. , Zubarev Roman A. 
Published: August 2022

AbstractO-GalNAc type glycosylation is a common post-translational modification (PTM) of proteins catalyzed by polypeptide GalNAc transferases, but the substrate specificity of these transferases is poorly understood. Here we develop a strategy based on integral thermal proteome solubility profiling to identify and prioritize the protein substrates of polypeptide N-acetylgalactosaminyltransferase 1 (GALNT1). Combined with glycoprotein enrichment followed by HCD and soft EThcD gas-phase fragmentation technique, we uncover hundreds of novel GALNT1 substrates in two model human cell lines. GALNT1-mediated O-glycosylation is more common on Thr than Ser residues, with a strong preference for Pro at positions +3 and +4 in respect to O-glycosylation. These results implicate GALNT1 in potentially regulating proteins in several diverse pathways, including some unexpected processes, such as TCA cycle and DNA transcription. This study depicts a roadmap for identification of functional substrates for glycosyltransferases, facilitating fundamental insight into the role of glycosylation in homeostasis and disease.
Lessons learnt from community referral and follow up of sick young infants with Possible Severe Bacterial Infection in Turkana County, Kenya
Authors: Mbugua Samuel , Mwaura Peter , Oyiengo Laura , Liambila Wilson , Emuria Andrew , Gatungu Daniel , Gitaka Jesse 
Published: August 2022

AbstractIntroductionManagement of possible severe bacterial infections in young infants (0-59 days) requires timely identification of danger signs and prompt administration of efficacious antibiotic treatment. The Possible Severe Bacterial Infection guidelines underscore the importance of close follow up in an outpatient basis to ensure treatment adherence and early detection of illness-related complications. The purpose of this study was to strengthen the follow up and referral of sick young infants on day 4 and 8 by introducing community-led interventions that facilitated community health volunteers to identify sick young infants, conduct community reviews, link data with responsive facilities, and refer appropriately.MethodsSix health facilities were included a a longitudinal, descriptive, mixed methods approach weaved around an initial formative context assessment and three-monthly assessments. Quantitative data was extracted from facility registers to identify gaps in follow up and referral feasibility. Qualitative data was through focus group discussions with community health volunteers and key informant interviews with frontline providers.ResultsQualitative data provided insights into key barriers and facilitators of community follow up and referral. Barriers include community socio-cultural practices, competing tasks, dysfunctional community referral pathway, drivers of common infections, and unavailability of essential commodities. Key facilitators entail indication of competency in identification of danger signs in sick young infants, presence of older women, men, and community resource persons that can leveraged on in community engagement and sensitization, and mothers are the primary decision makers in care seeking. There was increased utilization of decision support tools and an increase in the number of sick young infants managed in dispensaries. The COVID-19 pandemic however negatively impacted community follow up and referral of sick young infants.ConclusionThis study seeks to contribute evidence on strengthening PSBI community management by enhancing day 4 and day 8 follow up, review and community referral of sick young infants in Turkana, Kenya. The feasibility, adoption, and fidelity of strengthening community facility linkage through integrated communication strategies was documented, indicative of a successful community-facility linkage in dispensaries and health centers despite the effects of the COVID-19 pandemic.
Active bulging promotes biofilm formation in a bacterial swarm
Authors: Liu Siyu , Li Ye , Xu Haoran , Kearns Daniel B. , Wu Yilin 
Published: August 2022

AbstractMicrobial communities such as biofilms are commonly found at interfaces. However, it is unclear how the physical environment of interfaces may contribute to the development and behavior of surface-associated microbial communities. Combining multi-mode imaging, single-cell tracking and numerical simulations, here we discovered that an interfacial process denoted as “active bulging” promotes biofilm formation. During this process, an initially two-dimensional layer of swarming bacteria spontaneously develops scattered liquid bulges; the bulges have a higher propensity to transit from motile to sessile biofilm state, presumably due to the enrichment of pre-existing immotile cells in the colony. We further demonstrate that the formation of liquid bulges can be controlled reversibly by manipulating the speed and local density of cells with light. Our findings reveal a unique physical mechanism of biofilm formation and provide a new strategy for biofilm patterning in engineered living materials as well as for directed self-assembly in active fluids.
Eye control system based on convolutional neural network: a review
Authors: Xiong Jianbin , Nie Jinji , Li Jiehao 
Published: August 2022

Purpose
This paper primarily aims to focus on a review of convolutional neural network (CNN)-based eye control systems. The performance of CNNs in big data has led to the development of eye control systems. Therefore, a review of eye control systems based on CNNs is helpful for future research.

Design/methodology/approach
In this paper, first, it covers the fundamentals of the eye control system as well as the fundamentals of CNNs. Second, the standard CNN model and the target detection model are summarized. The eye control system’s CNN gaze estimation approach and model are next described and summarized. Finally, the progress of the gaze estimation of the eye control system is discussed and anticipated.

Findings
The eye control system accomplishes the control effect using gaze estimation technology, which focuses on the features and information of the eyeball, eye movement and gaze, among other things. The traditional eye control system adopts pupil monitoring, pupil positioning, Hough algorithm and other methods. This study will focus on a CNN-based eye control system. First of all, the authors present the CNN model, which is effective in image identification, target detection and tracking. Furthermore, the CNN-based eye control system is separated into three categories: semantic information, monocular/binocular and full-face. Finally, three challenges linked to the development of an eye control system based on a CNN are discussed, along with possible solutions.

Originality/value
This research can provide theoretical and engineering basis for the eye control system platform. In addition, it also summarizes the ideas of predecessors to support the development of future research.
Systematic cross-cultural management education: a quasi-experimental analysis of guided experiential learning during intercultural simulations
Authors: Heidemann Christina , Søndergaard Mikael 
Published: August 2022

PurposeThe main purpose of this paper is to test the effects of a classical intercultural simulation on participants' ability to modify their behavior in response to collectivistic and individualistic contexts. Moreover, the paper aims to examine moderating effects based on experiential learning and social identity theory.Design/methodology/approachThe learning effects are evaluated through two separate quasi-experimental studies with 152 master students in business economics at a Danish university and 190 bachelor students in international business at a German university.FindingsThe analysis shows that intercultural simulations with artificial cultures significantly improve participants' ability to modify their behavior depending on cultural context. Participants who identify with an artificial culture that differs radically from their own take greater advantage of the simulation. The overall duration of international experience moderates participants' learning with a U-shaped effect. Culture-specific experience strengthens the positive effect of the simulation. The comparison of the two conducted studies indicates that previous cognitive teaching enhances learning.Practical implicationsThe findings demonstrate the effectiveness of intercultural simulations that guide participants through all phases of the experiential learning cycle. Moreover, they underline the importance of assessing participants' cultural backgrounds before the assignment of training groups.Originality/valuePrior research on intercultural simulations is often based on qualitative methods and mostly limited to affective outcomes, such as motivation and enjoyment of intercultural interactions. By contrast, this paper quantitatively tests to what extent intercultural simulations improve participants' ability to modify behavior depending on culture.
The impact of monetary incentives and regulatory focus on worker productivity and learning in order picking
Authors: Sgarbossa Fabio , Glock Christoph H. , Grosse Eric H. , Calzavara Martina , de Koster René 
Published: August 2022

PurposeIn manual order picking systems, temporary workers are often employed to handle demand peaks. While this increases flexibility, it may hamper productivity, as they are usually unfamiliar with the processes and may have little experience. It is important for managers to understand how quickly inexperienced workers arrive at full productivity and which factors support workers in improving their productivity. This paper aims to investigate how learning improves the performance of order pickers, and how their regulatory focus (RF) and monetary incentives, as management actions, influence learning.Design/methodology/approachData was collected in two case studies in controlled field-lab experiments and statistically analysed. This allowed evaluating the validity of hypotheses through an ANOVA, the calculation of correlation coefficients and the application of regression models.FindingsA monetary incentive based on total order picking time and pick errors has a positive influence on order picking time, but not on pick quality. The incentive influences initial productivity, but not the learning rate. A dominant promotion-oriented RF increases the effect of the incentive on initial productivity, but it does not impact worker learning.Practical implicationsThis study contributes to behavioral and human-focused order picking management and supports managers in setting up work plans and developing incentive systems for learning and productivity enhancement, considering worker RF.Originality/valueThis work is among the few to empirically investigate the effect of monetary incentives on learning in interaction with RF. It is the first study to investigate these concepts in an order picking scenario.
Slow fashion purchase intention drivers: an Indonesian study
Authors: Aprianingsih Atik , Fachira Ira , Setiawan Margareth , Debby Teresia , Desiana Nia , Lathifan Shafa Amira Nurryda 
Published: August 2022

PurposeThis study aims to explore the relationships between particular personal values (environmental, hedonic and utilitarian) and the intention to purchase slow fashion through the mechanism of attitude toward slow fashion in Indonesia.Design/methodology/approachThis quantitative study uses an online questionnaire to obtain survey data from 429 respondents in cities in Indonesia. The respondents were mostly aged between 18 and 45 years, with the majority between 18 and 22 years (63.40 per cent). Confirmatory factor analysis and structural equation modeling are used to test and validate the proposed model's scale validity and relationship.FindingsEnvironmental, utilitarian and hedonic values are positively related to attitudes toward slow-fashion products. Further, attitudes toward slow-fashion products positively influence purchase intention.Practical implicationsThe study suggests marketing strategies to stimulate the intention to purchase slow fashion through advertising that emphasizes utilitarian, environmental and hedonic values, such as the pleasure in using slow-fashion products.Originality/valueThis study is the first to investigate the relationship of environmental and motivational values (hedonic and utilitarian) to the intention to purchase slow-fashion products. The findings contribute to the theoretical and practical understandings of slow fashion by identifying pre-positioned values that trigger positive attitudes toward slow-fashion products, thereby increasing purchase intention.
Analysis of influencing factors of online community knowledge-sharing from the perspective of the platform environment
Authors: Xie Renqiang , Zhang Wende 
Published: August 2022

PurposeThe number of online communities has increased rapidly with the development of the Internet. Although these communities provide users with knowledge-sharing channels, the enthusiasm of the users for participation remains low. Ecosystem theory, social cognitive theory, and some other theories emphasize the importance of environmental factors and hypothesize that the behavior of users is affected by personal factors and environmental factors. In this study, the authors investigated the impact of platform environmental factors on knowledge-sharing behavior and improved the platform environment construction of online communities.Design/methodology/approachFirst, the authors analyzed the influencing factors of online community knowledge-sharing from the perspective of the platform environment, constructed a research model, and proposed relevant hypotheses. Then, the authors designed a questionnaire and conducted a survey, and finally tested the hypotheses by using the method of structural equation model.FindingsThe results showed that community trust, community management, community incentive, community atmosphere, and community information protection had a significant positive impact on community knowledge-sharing behavior. Community trust played a significant intermediary role in the relationship between community management, community incentive, community information protection, and knowledge-sharing behavior; community information protection only affected knowledge-sharing behavior through community trust. Additionally, community atmosphere did not directly affect knowledge-sharing behavior through the intermediary of community trust.Practical implicationsThis study showed that theoretical supplements and practical guidance are significant for conducting research and managing knowledge-sharing in the online community. They help community managers pay more attention to the construction of an online community platform environment.Originality/valueIn this study, the authors analyzed the influencing factors of online community knowledge-sharing from the perspective of the platform environment and introduced community trust as an intermediary variable. The research perspective and model of this study are novel to some extent.
Impact of job insecurity during COVID-19 on green entrepreneurial intention of Pakistani entrepreneurs: a moderated mediation model
Authors: Noor Uzma , Rabbani Sajeela , Dastgeer Ghulam 
Published: August 2022

PurposeThe study aimed at identifying job insecurity during COVID-19 as a determinant of green entrepreneurial intentions under the mediating role of entrepreneurial passion. Further, moderated mediation model of environmental consciousness and environmental knowledge on the relationship between job insecurity during COVID-19 and green entrepreneurial intentions through entrepreneurial passion as a mediator is also measured.Design/methodology/approachThe study employed Statistical Package for the Social Sciences (SPSS) and analysis of a moment structure (AMOS) to calculate the measurement and structure model. Data was collected from the twin cities of Pakistan (Islamabad and Rawalpindi). A total of 389 usable responses were included in the analyses.FindingsConsidering entrepreneurship as a process, the result shows a significant relationship between the study variables. Also, it is realized that entrepreneurial passion serves as an important mediator between job insecurity during COVID-19 and green entrepreneurial intention. Both entrepreneurial knowledge and environmental consciousness have an indirect conditional effect on the relationship between job insecurity during COVID-19 and green entrepreneurial intention with entrepreneurial passion as a mediator. The study tested a novel relationship between job insecurity during COVID-19 and entrepreneurial passion under the lens of contingency theory and entrepreneurial event theory.Research limitations/implicationsThe extreme necessity to choose an alternative to full-time jobs is entrepreneurial endeavors that can be explored by entrepreneurs. Policymakers can capitalize on this scenario by proposing entrepreneurial opportunities which are green as well. The term Green represents an environmental friendly business, which one can start in the context of COVID-19 when everyone is oriented to cleanliness, personal hygiene and environment friendly.Originality/valueThe study tested a novel relationship between job insecurity during COVID-19 and entrepreneurial passion under the lens of contingency theory and entrepreneurial event theory. It contributes to the present stock of knowledge and understanding of the subject by contextualizing the concept of green entrepreneurial intention.
Engineering cell morphology by CRISPR interference in Acinetobacter baylyiADP1
Authors: Luo Jin , Efimova Elena , Volke Daniel Christoph , Santala Ville , Santala Suvi 
Published: August 2022

AbstractMicrobial production of intracellular compounds can be engineered by redirecting the carbon flux towards products and increasing the cell size. Potential engineering strategies include exploiting clustered regularly interspaced short palindromic repeats interference (CRISPRi)‐based tools for controlling gene expression. Here, we applied CRISPRi for engineering Acinetobacter baylyi ADP1, a model bacterium for synthesizing intracellular storage lipids, namely wax esters. We first established an inducible CRISPRi system for strain ADP1, which enables tightly controlled repression of target genes. We then targeted the glyoxylate shunt to redirect carbon flow towards wax esters. Second, we successfully employed CRISPRi for modifying cell morphology by repressing ftsZ, an essential gene required for cell division, in combination with targeted knock‐outs to generate significantly enlarged filamentous or spherical cells respectively. The engineered cells sustained increased wax ester production metrics, demonstrating the potential of cell morphology engineering in the production of intracellular lipids.