bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fission yeast CK1 promotes DNA double-strand break repair through both homologous recombination and non-homologous end joining
Authors: Cullati Sierra N. , Zhang Eric , Shan Yufan , Guillen Rodrigo X. , Chen Jun-Song , Navarrete-Perea Jose , Elmore Zachary C. , Ren Liping , Gygi Steven P. , Gould Kathleen L. 
Published: April 2023

AbstractThe CK1 family are conserved serine/threonine kinases with numerous substrates and cellular functions. The fission yeast CK1 orthologues Hhp1 and Hhp2 were first characterized as regulators of DNA repair, but the mechanism(s) by which CK1 activity promotes DNA repair had not been investigated. Here, we found that deleting Hhp1 and Hhp2 or inhibiting CK1 catalytic activities in yeast or in human cells activated the DNA damage checkpoint due to persistent double-strand breaks (DSBs). The primary pathways to repair DSBs, homologous recombination and non-homologous end joining, were both less efficient in cells lacking Hhp1 and Hhp2 activity. In order to understand how Hhp1 and Hhp2 promote DSB repair, we identified new substrates using quantitative phosphoproteomics. We confirmed that Arp8, a component of the INO80 chromatin remodeling complex, is a bona fide substrate of Hhp1 and Hhp2 that is important for DSB repair. Our data suggest that Hhp1 and Hhp2 facilitate DSB repair by phosphorylating multiple substrates, including Arp8.
Phase variation in LPS O-antigen biosynthetic gene cluster of the rice pathogenXanthomonas oryzaepv.oryzae
Authors: Madhavan Vishnu Narayanan , Bansal Kanika , Kumar Sanjeet , Midha Samriti , Patil Prabhu B. , Patel Hitendra Kumar , Sonti Ramesh V. 
Published: April 2023

AbstractBacteria respond to environmental cues in different ways. Phase variation is one such adaptation where heritable and reversible changes in DNA aid bacteria to alter the expression of specific genes. The bacterial plant pathogenXanthomonas oryzaepv.oryzae(Xoo) causes the serious bacterial blight disease of rice. The mucoid phenotype of Xoo colonies is attributed to the secreted exopolysaccharide (EPS), xanthan gum. Spontaneous non-mucoid variants of Xoo which are deficient in EPS production and virulence were observed to accumulate in long-term stationary phase cultures. This phenomenon was termed stationary phase variation and variant colonies as stationary phase variants (SPV). Several but not all of these SPVs have been earlier described to carry spontaneous insertions of endogenous insertion sequence elements in thegumoperon which encodes genes involved in EPS biosynthesis. In this study, we show that a number of SPVs harbour variations in the lipopolysaccharide (LPS) outer antigen (O-antigen) biosynthetic gene cluster. The data revealed that the vast majority of variations are due to either insertion of endogenous insertion sequence (IS) elements or slipped strand mispairing (SSM). Also, it was observed that many of these SPVs exhibited reversion to wild type mucoid phenotype via restoration of the wild type genotype. The results indicate that the phenomenon of phase variation is occurring in the LPS O-antigen biosynthetic gene cluster of Xoo.
Evaluating possible maternal effect lethality and genetic background effects inNaa10knockout mice
Authors: Lyon Gholson J. , Longo Joseph , Garcia Andrew , Inusa Fatima , Marchi Elaine , Shi Daniel , Dörfel Max , Arnesen Thomas , Aldabe Rafael , Lyons Scott , Nashat Melissa A. , Bolton David 
Published: April 2023

ABSTRACTAmino-terminal (Nt-) acetylation (NTA) is a common protein modification, affecting approximately 80% of all human proteins. The human essential X-linked gene,NAA10,encodes for the enzyme NAA10, which is the catalytic subunit in the N-terminal acetyltransferase A (NatA) complex. There is extensive genetic variation in humans with missense, splice-site, and C-terminal frameshift variants inNAA10. In mice,Naa10is not an essential gene, as there exists a paralogous gene,Naa12, that substantially rescuesNaa10knockout mice from embryonic lethality, whereas double knockouts (Naa10−/YNaa12−/−)are embryonic lethal. However, the phenotypic variability in the mice is nonetheless quite extensive, including piebaldism, skeletal defects, small size, hydrocephaly, hydronephrosis, and neonatal lethality. Here we replicate these phenotypes with new genetic alleles in mice, but we demonstrate their modulation by genetic background and environmental effects. We cannot replicate a prior report of “maternal effect lethality” for heterozygousNaa10−/Xfemale mice, but we do observe a small amount of embryonic lethality in theNaa10−/ymale mice on the inbred genetic background in this different animal facility.
MetPlast: an R package to evaluate Metabolic Plasticity using Information Theory statistical framework
Authors: D’Andrea Lucio , Perez de Souza Leonardo , Fernie Alisdair R. , Bombarely Aureliano 
Published: April 2023

SummaryMetPlast, is an R package that provides the functionalities necessary to analyze biological samples’ metabolic plasticity. This package takes advantage of the statistical framework provided by the Information Theory to quantify and defined metabolic plasticity parameters. Using previous implemented formula based on Shannon entropy we automatize the calculation and visualization of a set of metabolic plasticity indexes including metabolic diversity, metabolome specialization, and metabolite specialization. We use a publicly available metabolic data set on tomato domestication to demonstrate the power of the present tool to evaluate changes in metabolic plasticity parameters. Thus, MetPlast represents a new and invaluable member of the computational metabolomics toolbox, that will certainly help scientists to unveil hidden information in cell metabolomic landscape.Availability and implementationFreely available athttps://github.com/danlucio86/MetPlast
Methods Optimization for the Expression and Purification of Human Calcium Calmodulin-Dependent Protein Kinase II Alpha
Authors: Bolton Scott C. , Thompson David H. , Kinzer-Ursem Tamara L. 
Published: April 2023

AbstractCalcium/calmodulin-dependent protein kinase II (CaMKII) is a complex multifunctional kinase that is highly expressed in central nervous tissues and plays a key regulatory role in the calcium signaling pathway. Despite over 30 years of recombinant expression and characterization studies, CaMKII continues to be investigated for its impact on signaling cooperativity and its ability to bind multiple substrates through its multimeric hub domain. Here we compare and optimize protocols for the generation of full-length wild-type human calcium/calmodulin-dependent protein kinase II alpha (CaMKIIα). Side-by-side comparison of expression and purification in both insect and bacterial systems shows that the insect expression method provides superior yields of the desired autoinhibited CaMKIIα holoenzymes. Utilizing baculovirus insect expression system tools, our results demonstrate a high yield method to produce homogenous, monodisperse CaMKII in its autoinhibited state suitable for biophysical analysis. Advantages and disadvantages of these two expression systems (baculovirus insect cell versusEscherichia coliexpression) are discussed, as well as purification optimizations to maximize the enrichment of full-length CaMKII.
VISTA: Visualizing the Spatial Transcriptome of theC. elegansNervous System
Authors: Liska David , Wolfe Zachery , Norris Adam 
Published: April 2023

ABSTRACTSummaryProfiling the transcriptomes of single cells without sacrificing spatial information is a major goal of the field of spatial transcriptomics, but current technologies require tradeoffs between single-cell resolution and whole-transcriptome coverage. In one animal species, the nematode wormC. elegans, a comprehensive spatial transcriptome with single-cell resolution is attainable using existing datasets, thanks to the worm’s invariant cell lineage and a series of recently-generated single cell transcriptomes. Here we present VISTA, which leverages these datasets to provide a visualization of the worm spatial transcriptome, focusing specifically on the nervous system. VISTA allows users to input a query gene and visualize its expression across all neurons in the form of a “spatial heatmap” in which the color of a cell reports the expression level. Underlying gene expression values (in Transcripts Per Million) are displayed when an individual cell is selected. We provide examples of the utility of VISTA for identifying striking new gene expression patterns in specific neurons, and for resolving cellular identities of ambiguous expression patterns generated fromin vivoreporter genes. The ability to easily obtain gene-level snapshots of the neuronal spatial transcriptome should facilitate studies on neuron-specific gene expression and regulation, and provide a template for the high-resolution spatial transcriptomes the field hopes to obtain for various animal species in the future.Availability and ImplementationVISTA is freely available at the following URL:https://public.tableau.com/app/profile/smu.oit.data.insights/viz/VISTA_16814210566130/VISTA
Customers' purchase intention of renewable energy in Jordan: the case of solar panel systems using an extended theory of planned behavior (TPB)
Authors: Almrafee Mohammad , Akaileh Mustafa 
Published: April 2023

Purpose
This study aims to examine the influence of various factors on the customers’ purchase intention of renewable energy in Jordan. The hypotheses and model of the study were adopted from previous studies.

Design/methodology/approach
The present study was undertaken based on an online survey of 428 Jordanians who are nonusers of renewable energy. The sample was selected using a stratified random sampling method using a structured questionnaire method. Data were analyzed using SPSS version 25.

Findings
The results indicated that attitudes, subjective norms (social influence), perceived price, knowledge and perceived behavioral control significantly affect the purchase intention of Jordanian customers to adopt renewable energy. Moreover, the study confirms that there are statistically significant differences between demographic variables such as age, income and education about renewable energy purchasing intentions, whereas gender was not significant.

Research limitations/implications
Some limitations have been identified. First, the generalizability of the findings is one of the common limitations of scientific research, and this study is not an exception. In this regard, the current study has been carried out in the south of Jordan. Therefore, to expand the validity of the findings, future studies need to be attempted in other places in Jordan. Second, the existing study focused on solar panel systems as a form of renewable energy. Future studies could focus on other kinds of renewable energy, such as wind energy. Third, although the sample size of this study was appropriate and sufficient, future studies could use larger samples to enhance the robustness of the results.

Practical implications
The findings of the current study could help practitioners in the renewable energy industry by identifying the key factors that motivate Jordanian customers to purchase and use such technology. They may use the findings of this study in the formulation of marketing policies and the development of marketing strategies to attract more customers to purchase and use renewable energy appliances like solar panels.

Originality/value
This is one of the few studies in the energy industry of Jordan devoted to developing and testing a model of determinants of purchasing intentions for solar panel systems that focuses on renewable energy purchasing behavior. Further, this study used demographic variables as control variables, which makes the study different from other studies by investigating the role of demographic characteristics in the context of the purchase intention for solar panel systems.
The usefulness of sensor fusion for unmanned aerial vehicle indoor positioning
Authors: Guo Hang , Chen Xin , Yu Min , Uradziński Marcin , Cheng Liang 
Published: April 2023

PurposeIn this study, an indoor sensor information fusion positioning system of the quadrotor unmanned aerial vehicle (UAV) was investigated to solve the problem of unstable indoor flight positioning.Design/methodology/approachThe presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and LiDAR-Lite devices. Based on this, one can obtain the aircraft's current attitude and the position vector relative to the target and control the attitudes and positions of the UAV to reach the specified target positions. While building a UAV positioning model relative to the target for indoor positioning scenarios under limited Global Navigation Satellite Systems (GNSS), the system detects the environment through the NVIDIA Jetson TX2 (Transmit Data) peripheral sensor, obtains the current attitude and the position vector of the UAV, packs the data in the format and delivers it to the flight controller. Then the flight controller controls the UAV by calculating the posture to reach the specified target position.FindingsThe authors used two systems in the experiment. The first is the proposed UAV, and the other is the Vicon system, our reference system for comparison purposes. Vicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.Originality/valueVicon positioning error can be considered lower than 2 mm from low to high-speed experiments. After comparison, experimental results demonstrated that the system could fully meet the requirements (less than 50 mm) in real-time positioning of the indoor quadrotor UAV flight. It verifies the accuracy and robustness of the proposed method compared with that of Vicon and achieves the aim of a stable indoor flight preliminarily.
Implementation strategies to screen, refer and link women involved in the carceral system to PrEP for HIV prevention
Authors: Dauria Emily , Rodriguez Christopher , Bauerle Bass Sarah , Tolou-Shams Marina , Christopoulos Katerina 
Published: April 2023

Purpose
Women involved in the carceral system (CS) experience several conditions that increase their risk for HIV (e.g. high rates of substance use, psychiatric disorders, histories of victimization). The purpose of this study is to explore perspectives on potential strategies to connect women in the CS to pre-exposure prophylaxis (PrEP) services.

Design/methodology/approach
This study conducted in-depth interviews with 27 women involved in the CS eligible for PrEP. Using vignettes, interviews explored attitudes, barriers and facilitators toward PrEP screening, referral and linkage facilitated via a CS stakeholder, an mHealth application or providing PrEP service referrals during detention via a navigator.

Findings
Most women were, on average, 41.3 years, from racial and ethnic minority groups (56% black/African American; 19% Latinx). Inductive thematic analysis revealed CS involved women expressed mostly positive attitudes toward CS-based PrEP implementation. Younger women were more accepting of and interested in mHealth interventions. Implementation facilitators included leveraging relationships with trusted allies (e.g. “peers”) and existing systems collaborations. Recommended implementation strategies included providing HIV and PrEP-specific education and training for system stakeholders and addressing issues related to privacy, system mistrust and stigma.

Originality/value
Results provide a critical foundation for the implementation of interventions to improve PrEP access for women involved in the CS and have important implications for implementation strategies for all adults involved in the CS. Improving access to PrEP among this population may also support progress toward addressing national disparities in PrEP uptake, where women, black and Latinx populations have substantial unmet need.
Microfinance institutions and female entrepreneurship in Sub-Saharan Africa: avoidable female unemployment thresholds
Authors: Asongu Simplice , Odhiambo Nicholas M. 
Published: April 2023

Purpose
This study aims to contribute to the extant literature by assessing how microfinance institutions (MFIs) affect female entrepreneurship, contingent on female unemployment levels.

Design/methodology/approach
The study focuses on 44 countries in sub-Saharan Africa for the period 2004–2018. The empirical evidence is based on interactive quantile regressions, which put emphasis on nations with high, low and intermediate levels of business constraints. The analysis is tailored to provide avoidable female unemployment levels in the implementation of policies designed for MFIs to promote female business ownership.

Findings
The hypotheses that MFIs are favorable for female business owners and some critical rates of female unemployment should be avoided in order for the favorable incidence to be maintained is exclusively valid in the 10th quantiles of the cost of business by females and time to start-up a business by females. Policy implications are discussed.

Originality/value
This study has complemented the extant literature by providing actionable female unemployment critical masses that governments can act upon in tailoring the relevance of MFIs in the doing of business by females.
Birds of a feather flock together? Leader–member trait mindfulness congruence effects on work outcomes
Authors: Zhang Linlin , Jiang Haoran , Hu Tongwen , Zhang Zhenduo 
Published: April 2023

PurposeDrawing upon person–supervisor fit theory, a model is developed to illustrate how leader–member trait mindfulness (in)congruence may impact leader–member exchange (LMX) and how such trait mindfulness (in)congruence can indirectly influence taking charge.Design/methodology/approachPolynomial regression and response surface methodology are used to analyze 237 valid matched leader–member dyads.FindingsLMX increases as leaders' and members' trait mindfulness become more aligned; LMX is higher when leader–member dyads are congruent at high levels (vs low levels). In the case of incongruence, LMX is higher when the member's trait mindfulness exceeds that of the leader. Furthermore, the relationship between leader–member trait mindfulness (in)congruence and taking charge is mediated by LMX.Practical implicationsThe joint and interactive role of high trait mindfulness in leader–member dyads can help them to generate high-quality interpersonal exchange, as well as to cope with challenges posed by present and future changes.Originality/valueThe linear, nonlinear, simultaneous and interactive effects of dyadic trait mindfulness expand previous research, clarifying that the evaluation of leader–member congruence and incongruence at various degrees, and for various patterns of trait mindfulness, is more informative than examining the direct effect alone.
Beyond lean manufacturing and sustainable performance: are the circular economy practices worth pursuing?
Authors: Maldonado-Guzmán Gonzalo , Garza-Reyes Jose Arturo 
Published: April 2023

PurposeThe need to improve sustainability in manufacturing firms, which would allow them to reduce the emission of pollutants and the generation of industrial waste, has stimulated the adoption of circular economy (CE) alongside lean manufacturing (LM) practices to significantly improve the sustainable performance of organizations. However, empirical evidence provided in previous studies and that has related the practices of LM, CE and sustainable performance do not allow establishing an interconnection between these three concepts. Therefore, this paper fills this gap in the literature by exploring the relationship between these three concepts.Design/methodology/approachA quantitative study in which data were collected from 460 managers working in the automotive industry in Mexico was conducted. The data allowed the testing and validation of four hypotheses through the use of partial least squares structural equation modeling (PLS SEM).FindingsThe results obtained suggest that LM practices have a significant positive influence both on sustainable performance and CE. In turn, the results also demonstrate the existence of a significant positive relationship between CE and the sustainable performance of manufacturing firms in the automotive industry as well as that CE has a positive role in mediating the interconnection between LM practices and sustainable performance.Practical implicationsThe results obtained from the present study will allow entrepreneurs in the automotive industry and industry professionals as well as government authorities to formulate more effective policies and strategies to support the improvement of environmental sustainability performance in the manufacturing sector.Originality/valueThis is one of the first studies that have investigated the relationship between LM, CE and sustainable performance, particularly, in the automotive sector.
The infinity vaccine war: linguistic regularities and audience engagement of vaccine debate on Twitter
Authors: Peng Rachel X. , Wang Ryan Yang 
Published: April 2023

PurposeAs public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.Design/methodology/approachUtilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.FindingsIn general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.Originality/valueThis study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.Peer reviewThe peer review history for this article is available athttps://publons.com/publon/10.1108/OIR-03-2022-0186