bluuebunny/crossref_metadata_2025_split huggingface dataset:
The dual role of TonB genes in turnerbactin uptake and carbohydrate utilization in the shipworm symbiontTeredinibacter turnerae
Authors: Naka Hiroaki , Haygood Margo G. 
Published: February 2023

AbstractTeredinibacter turneraeis an intracellular bacterial symbiont that resides in the gills of shipworms, wood-eating bivalve mollusks. This bacterium produces a catechol siderophore, turnerbactin, required for the survival of this bacterium under iron limiting conditions. The turnerbactin biosynthetic genes are contained in one of the secondary metabolite clusters conserved amongT. turneraestrains. However, Fe(III)-turnerbactin uptake mechanisms are largely unknown. Here, we show that the first gene of the cluster,fttAa homologue of Fe(III)-siderophore TonB-dependent outer membrane receptor (TBDR) genes is indispensable for iron uptake via the endogenous siderophore, turnerbactin, as well as by an exogenous siderophore, amphi-enterobactin, ubiquitously produced by marine vibrios. Furthermore, three TonB clusters containing fourtonBgenes were identified, and two of these genes,tonB1bandtonB2, functioned not only for iron transport but also for carbohydrate utilization when cellulose was a sole carbon source. Gene expression analysis revealed that none of thetonBgenes and other genes in those clusters were clearly regulated by iron concentration while turnerbactin biosynthesis and uptake genes were up-regulated under iron limiting conditions, highlighting the importance oftonBgenes even in iron rich conditions, possibly for utilization of carbohydrates derived from cellulose.
Parental childhood maltreatment associates with offspring left amygdala volume at early infancy
Authors: Tuulari Jetro J. , Pulli Elmo P. , Kataja Eeva-Leena , Perasto Laura , Lewis John D. , Karlsson Linnea , Karlsson Hasse 
Published: February 2023

AbstractBackgroundChildhood maltreatment exposure (CME) and related trauma could be considered some of psychiatry’s greatest public health challenges. CME and early adversity have been associated with increased amygdala volume in exposed individuals. Emerging evidence implies that CME could also affect prenatal development of the offspring.MethodsAs part of the FinnBrain Birth Cohort Study, we measured bilateral amygdala volumes from MR images in 76 healthy infants at 2–5 weeks of gestation corrected age and obtained the Trauma and Distress Scale (TADS) questionnaire from both parents. The associations between neonatal amygdala volumes and TADS scores were examined in stepwise regression models.ResultsWe found that maternal CME associated positively with infant left amygdala volume (p = .045) while the positive association for the paternal trauma score was only marginally significant (p = .099). Similar associations were not observed for the right amygdala. In the exploratory analyses, we used age ranges (0–6, 7–12, and 13–18 years) as estimate of the timing of the CME and included all three time points from both parents using left amygdala volume into the stepwise regression models. We found that maternal TADS scores from 13–18 years of age associated positively with infant left amygdala volumes (p = .008). Correspondingly, paternal TADS scores from 0–6 years of age associated positively with the infant left amygdala volumes (p = .014).ConclusionsOur link the infant offspring amygdala volume with parental CME with some agreement with prior findings, and they also imply links paternal CME to infant amygdala volumes. Amygdala is one of the key brain structures associated with both early life exposures and later psychiatric health, which makes it crucially important to elucidate both the underlying mechanisms and the later relevance of these associations in future studies.
A compact model for cold tolerance entrainment based on the ICE1-CBF-COR pathway in plants
Authors: Huang Ting , Wu Yue , Lv Hengmin , Shu Yiting , Yu Linxuan , Yang Haoyu , Hou Xilin , You Xiong 
Published: February 2023

AbstractMost temperate plants can tolerate both chilling and freezing temperatures. Plants have developed self-defense mechanisms to perceive cold signal, trigger the cold tolerance for the cold response ICE1-CBF-COR pathway by packing a cascade of kinase phosphorylation/dephosphorylation events into a functional module. Linked to the central ICE1-CBF-COR model, two sub-models were adopted for the second messenSger Ca2+-- a one-compartment model for Ca2+transient and a two-compartment model for a train of Ca2+spikes. Numerical simulation verified the expression patterns of the cold-induced genes as observed inArabidopsis thaliana, Brassica napaandSolanum lycopersicum, including wild types and mutants. Moreover, the desensitization and resensitization ofCBF3andCOR15Awere displayed as well as the dynamics in the gradually decreasing temperature response to cold stress. The duration of cold tolerance was predicted for approximate 10 days. Interpreting and predicting the dynamical behaviors of the cold signaling pathway are valuable and time-saving for understanding mechanisms of cold acclimation.Author summaryIn higher organisms,CBF3transcriptional level are output in a pulse andCOR15Atranscriptional level are maintained at a high homeostatic level to respond cold stress, which is determined by a complex set of regulatory mechanisms. Feedback loops from Ca2+perception onto CaM, kinases, cold-acclimated genes in sequence, which have been experimentally reported, are thought to induceCOR15Atranscript accumulation under cold temperature exposure. The cold response pathway has been modeled based on a computational model. However, protein kinase cascades made the model relatively complicated and the cold-response geneCOR15Awas absent. Here, we develop a compact model with cold tolerance target geneCOR15A. We show that this model could reproduce the temporal dynamics and characteristics of the core gene variables in different plants with wild type and mutant. Reduction of CaM proportion and augment of negative feedback control by ZAT12 in the model results in the desensitization ofCBF3andCOR15A. Less than 24-hr warm treatment loses the ability of resensitization ofCBF3andCOR15Aafter 14-day cold exposure. We further predict that the duration of cold tolerance is maintained at about 10 days in our model.
Beyond ingredients: Supramolecular structure of lipid droplets in infant formula affects metabolic and brain function in mouse models
Authors: Oosting Annemarie , Harvey Louise , Ringler Silvia , van Dijk Gertjan , Schipper Lidewij 
Published: February 2023

AbstractHuman milk beneficially affects infant growth and brain development. The supramolecular structure of lipid globules in human milk i.e., large lipid globules covered by the milk fat globule membrane, is believed to contribute to this effect, in addition to the supply of functional ingredients.Three preclinical (mouse) experiments were performed to study the effects of infant formula mimicking the supramolecular structure of human milk lipid globules on brain and metabolic health outcomes. From postnatal day 16 to 42, mouse offspring were exposed to a diet containing infant formula with large, phospholipid-coated lipid droplets (structure, STR) or infant formula with the same ingredients but lacking the unique structural properties as observed in human milk (ingredient, ING). Subsequently, in Study 1, the fatty acid composition in liver and brain membranes was measured, and expression of hippocampal molecular markers were analyzed. In Study 2 and 3 adult (Western style diet-induced) body fat accumulation and cognitive function were evaluated.Animals exposed to STR compared to ING showed improved omega-3 fatty acid accumulation in liver and brain, and higher expression of brain myelin-associated glycoprotein. Early exposure to STR reduced fat mass accumulation in adulthood; the effect was more pronounced in animals exposed to a Western style diet. Additionally, mice exposed to STR demonstrated better memory performance later in life.In conclusion, early life exposure to infant formula containing large, phospholipid-coated lipid droplets, closer to the supramolecular structure of lipid globules in human milk, positively affects adult brain and metabolic health outcomes in pre-clinical animal models.
Credit constraint and agricultural technology adoptions: evidence from Ethiopia
Authors: Lemecha Megersa Endashaw 
Published: February 2023

PurposeThis paper investigates constraints to yield enhancing technology adoptions, highlighting credit using data pooled from the first three waves of the Ethiopian socio-economic surveys.Design/methodology/approachDirect elicitation methodology is used to identify household's non-price credit rationing status. The panel selection model specified to examine causal effects of credit constraint on adoption variables allows us to tackle self-selection into adoptions and potential endogeneity of credit constraint while controlling for unobserved heterogeneity in both the selection and main equations.FindingsResults show that about 54% of sample households face credit rationing, predominantly demand-side risk rationing. There is a negative association between measures of credit constraint status and adoption variables. The effect is stronger when the demand-side credit rationing is accounted for and when within household variation in credit constraint status overtime is considered as opposed to across constrained and unconstrained households.Practical implicationsExpanding physical access to institutional credit alone may not necessarily spur increased uptake of credit and instant investment by farm households. For a majority of them to take advantage of available credit and improved technology, interventions should also aim at minimizing downside risks.Originality/valueThis paper incorporates the role of downside risk in influencing farmer's decisions to uptake credits and subsequently his/her adoption behaviors. The researcher approached the topic by state-of-the-art method which allows obtaining more reliable results and hence more specific contributions to research and practice.
Light magic at workplace due to empowering leadership: situation strength conceptions for intrapreneurial behaviour
Authors: Alam Muhammad Zubair , Rafiq Muhammad , Nasir Sobia , Abdul Rehman Chaudhary 
Published: February 2023

PurposeThe present study enriches the person-situation debate by developing and testing a theoretical model on the nexus between empowering leadership (EL) and intrapreneurial behaviour (IB) in the presence of a strong organisational situation of perceived organisational support (POS).Design/methodology/approachCross-sectional survey data collected from 237 engineers working for Pakistani automakers were used to evaluate the suggested theoretical framework. The survey results were analysed using the partial least square structural equation modelling (PLS-SEM) method.FindingsThe results from the analysed data revealed a significant and positive relationship between EL and IB. POS significantly moderate the relationship between EL and IB as per the conceptualisation of situation strength theory (SST) and is established as a strong organisational situation that generates situational cues for IB outcomes from employees.Originality/valueThe present study provides new insights into determining employees' workplace behaviour as viewed from the organisational situations. Hence, top management in organisations can create a conducive environment by improving employees' POS for valued work behaviours like IB.
A guide for a guide: using UIA publications for an SDG-focused studio
Authors: Akgun Yenal , Erdoğdu Erkarslan Özlem , Neşeliler Pınar 
Published: February 2023

PurposeThis paper aims to present a data mapping analysis that can be used for aligning the studio course with the United Nations (UN) Sustainable Development Goals (SDGs) by teaching professionals.Design/methodology/approachThe UN 2030 Agenda for Sustainable Development Goals (SDGs), released in 2015, has received global attention from various disciplines and sectors. Professional organizations in architecture have accelerated the engagement between their members and SDGs. This paper analyzes the two volumes of the Architecture Guide to the UN 17 Sustainable Development Goals prepared by the efforts of professional organizations or consortiums and published by the UIA between 2018 and 2020. The buildings presented as best practices in these guidebooks were analyzed to demonstrate various ways of capturing the SDGs in the architectural studio when designing the course content, process and teaching materials.FindingsThe analysis presents the kinship among the SDGs and architectural concepts, which are retrieved from the sample buildings in the guidebooks. The findings also refer to the targets for each goal to generate an easily applicable pedagogical path in architectural education. The results are presented as a model approach for SDG-focused studio teaching.Originality/valueAn in-depth review of the literature reveals the need for research based on SDG-focused pedagogies and the UN Architecture Guide.
Knowledge, attitudes and practices regarding the dietary sources of healthy fats and essential oil supplements
Authors: Ruta Florina , Calin Avram , Timus Mihai , Sipos Remus , Ciucan-Rusu Liviu 
Published: February 2023

PurposeThis study aims to evaluate the knowledge and consumption of healthy foods, respectively, of oils as sources of omega-3 and dietary supplements with omega-3, among a population of young people in the center of Romania. With the objectives of identifying the factors that can influence the consumption of healthy fats and the orientation toward actions to promote less known food resources, in order to diversify the healthy food intake, the long-term improvement of the health-related effects of food.Design/methodology/approachOne of the most important aspects of health is nutrition and its role in reducing the incidence of chronic diseases is supported by scientific data. In this research, the authors analyzed the level of information and the factors determining food choices with particular reference to the consumption of healthy fats and/or supplements from these fats, in order to highlight the behavior of individuals in relation to food. For this purpose, a questionnaire about food and healthy fats (omega-3) consumption and frequency was applied to the food groups of interest, along with other factors pertaining to lifestyle. The questionnaire distributed online mainly included questions related to the consumption of fats and the respondents' knowledge about them. The interest in participating in the study was manifested mainly in the young age segment. The collected data were analyzed statistically was done through Graph Pad Prism ver. 9 software with the establishment of a statistical significance threshold of 0.05.FindingsThere is a certain degree of superficiality in the knowledge of the importance and use of foods rich in omega-3. The statistically significant association has been identified both between age and the rules established in the family for observing the schedule of meals and between age and benefiting from an evaluation of the eating behavior. Statistically significant association has also been observed between the level of education and the knowledge on the health benefits of vegetable oils. The statistically significant association was also present between the level of education and the respondents' appreciation of the essential role of eating behavior in disease prevention.Originality/valueIdentifying the consumer profile in relation to their attitude toward healthy foods, especially fats, in order to adapt nutritional interventions with the aim to promote healthy food choices that have an impact on the health of the individual and also of the population.
Internal factors, external factors and behavioral intention toward food delivery apps (FDAs)
Authors: Ng Kenneth Shiu Pong , Zhang Jiru , Wong Jose Weng Chou , Luo Kennis Kaiqi 
Published: February 2023

PurposeFood delivery apps (FDAs), as a well-known technology, have been widely adopted by restaurants and customers. Different from existing studies in this field that mainly focused on the technical (internal) parts, the study aims to introduce a new framework by linking up technical (internal) factors and service-related (external) factors in the context of FDAs. This study also empirically analyzes a comprehensive model that identifies the impacts of internal and external factors in FDAs on the continuous use intention.Design/methodology/approachThis study proposes a comprehensive model integrating internal and external factors with a sample of 498 respondents who had ordered or purchased food through delivery apps for the partial least squares structural equation modeling (PLS-SEM) analysis.FindingsThe results of the study show that time-saving is the most significant factor on customers' perceptions, and various food choices and usefulness have also direct positive impacts on perceived value and satisfaction. In addition, perceived value shows a stronger effect than satisfaction on customers' continuous usage.Originality/valueThese findings provide a new perspective on FDAs, which not only simplify the elements of FDAs but also classify internal and external factors to foster the theoretical and practical development. Ultimately, the model proposed and validated in this study can serve as the basis for future FDAs and other service apps development.
Investigating the factors affecting the intention to adopt cloud-based ERP systems during the COVID-19 era: evidence from Jordan
Authors: Qutaishat Fadi , Abushakra Ahmad , Anaya Luay , Al-Omari Mohammad 
Published: February 2023

PurposeGenerally, the use of cloud-based services has proliferated all around the world. This tendency increased dramatically during the coronavirus disease 2019 (COVID-19) pandemic when many people were obliged to conduct business remotely. This research study aims to investigate the intentions to adopt (IA) cloud-based enterprise resource planning (ERP) systems in Jordan, as this sort of research is scarce in developing countries. Specifically, this research study combined the model of Diffusion of Innovation (DOI) and the Technology-Organization-Environment (TOE) framework, in addition to looking at COVID-19 as a moderating variable.Design/methodology/approachData were collected from 60 participants working in Jordanian companies that currently use, or have the intention to use, cloud-based ERP systems. An online questionnaire was developed and used to collect responses. The study hypotheses were examined statistically using simple regression analysis and hierarchical multiple regression.FindingsThe study results clearly indicate that complexity, observability, employee information technology (IT) skills, organizational culture (OC) and top management support significantly affect the intention to adopt cloud-based ERP systems. In contrast, relative advantage (RA), compatibility, trialability, regulatory environment and competitive pressure had no significant effect on adoption intention. Interestingly, the advent of COVID-19 increased the intention to adopt cloud-based ERP systems.Research limitations/implicationsThe study's findings will provide theoretical and practical suggestions for the effective adoption of cloud ERP in Jordan, as well as aiding other developing nations in comparable situations in implementing cloud-based ERP systems.Originality/valueThe study enriches the knowledge and further examines the underlying reasons for adopting cloud-based ERP systems in a developing country.
Synthetic images generation for semantic understanding in facility management
Authors: Rampini Luca , Re Cecconi Fulvio 
Published: February 2023

Purpose
This study aims to introduce a new methodology for generating synthetic images for facility management purposes. The method starts by leveraging the existing 3D open-source BIM models and using them inside a graphic engine to produce a photorealistic representation of indoor spaces enriched with facility-related objects. The virtual environment creates several images by changing lighting conditions, camera poses or material. Moreover, the created images are labeled and ready to be trained in the model.

Design/methodology/approach
This paper focuses on the challenges characterizing object detection models to enrich digital twins with facility management-related information. The automatic detection of small objects, such as sockets, power plugs, etc., requires big, labeled data sets that are costly and time-consuming to create. This study proposes a solution based on existing 3D BIM models to produce quick and automatically labeled synthetic images.

Findings
The paper presents a conceptual model for creating synthetic images to increase the performance in training object detection models for facility management. The results show that virtually generated images, rather than an alternative to real images, are a powerful tool for integrating existing data sets. In other words, while a base of real images is still needed, introducing synthetic images helps augment the model’s performance and robustness in covering different types of objects.

Originality/value
This study introduced the first pipeline for creating synthetic images for facility management. Moreover, this paper validates this pipeline by proposing a case study where the performance of object detection models trained on real data or a combination of real and synthetic images are compared.
How high-involvement work practices, leadership and job crafting influence nurses’ innovative work behavior
Authors: Alwali Joather 
Published: February 2023

PurposeThis study determines the effects of high-involvement work practices (HIWPs) and servant leadership (SL) on job crafting (JC). It also investigates the effect of JC on innovative work behavior (IWB). It further examines the mediating role of JC in the relationship between HIWPs and IWB, as well as between SL and IWB based on self-determination theory and conservation of resources theory.Design/methodology/approachData were collected in two waves with a one-week interval (Time 1 and Time 2) from 138 nurses from seven public hospitals in Baghdad through survey design. The data analysis was done through structural equation modeling using smart partial least squares.FindingsThis study reveals that HIWPs and SL have significant effects on JC, while JC has a significant relationship with IWB. It also shows that JC has a significant mediating role in the relationship between HIWPs and IWB. Finally, the relationship between SL and IWB is significantly mediated by JC.Originality/valueThis study contributes to the extant literature by revealing the direct effects of JC on IWB. It further unveils the mediating effect of JC on the nexus between HIWPs and IWB, as well as between SL and IWB. This mediating effect has been overlooked in the empirical literature.