bluuebunny/crossref_metadata_2025_split huggingface dataset:
A quantitative survey of the blueberry (Vacciniumspp.) nectar microbiome: variation between cultivars, locations, and farm management approaches
Authors: Rering Caitlin C. , Rudolph Arthur B. , Li Qin-Bao , Read Quentin D. , Muñoz Patricio R. , Ternest John J. , Hunter Charles T. 
Published: September 2023

AbstractMicrobes in floral nectar can impact both their host plants and floral visitors, yet little is known about the nectar microbiome of most pollinator-dependent crops. In this study, we examined the abundance and composition of the fungi and bacteria inhabitingVacciniumspp. nectar, as well as nectar volume and sugar concentrations, hypothesizing that nectar traits and microbial communities would vary between plants. We compared wildV. myrsiniteswith two field-grownV. corymbosumcultivars collected from two organic and two conventional farms. Differences in nectar traits and microbiomes were identified betweenV. corymbosumcultivars but notVacciniumspecies. The microbiome of cultivated plants also varied greatly between farms, whereas management regime had only subtle effects, with higher fungal populations detected under organic management. Nectars were hexose-dominant, and sugars were depleted in nectar with higher cell densities. Bacteria were more common than fungi in blueberry nectar, although both were frequently detected and co-occurred more often than would be predicted by chance. ‘Cosmopolitan’ blueberry nectar microbes that were isolated in all plants, includingRosenbergiellasp. andSymmetrospora symmetrica, were identified. This study provides the first systematic report of the blueberry nectar microbiome, which may have important implications for pollinator and crop health.One-sentence summaryParallel analysis of blueberry crops and a wild relative offers insight into the impacts of management and domestication on the nectar microbiome
Droplet based low input proteomic platform for rare cell populations
Authors: Waas Matthew , Khoo Amanda , Tharmapalan Pirashaanthy , McCloskey Curtis W. , Govindarajan Meinusha , Zhang Bowen , Khan Shahbaz , Waterhouse Paul , Khokha Rama , Kislinger Thomas 
Published: September 2023

AbstractDeep proteomic profiling of rare cell populations has been constrained by sample input requirements. Here, we present DROPPS, an accessible low-input platform that generates high-fidelity proteomic profiles of 100 - 2,500 cells. By applying DROPPS within the mammary epithelium, we elucidated the connection between mitochondrial activity and clonogenicity, discovering and validating CD36 as a marker of progenitor capacity in the basal cell compartment. We anticipate DROPPS will accelerate biology-driven proteomic research for a multitude of rare cell populations.
Single-plant-omics reveals the cascade of transcriptional changes during the vegetative-to-reproductive transition
Authors: Redmond Ethan J. , Ronald James , Davis Seth J. , Ezer Daphne 
Published: September 2023

AbstractPlants undergo rapid developmental transitions, as well as gradual developmental processes. Moreover, individual plants within a population will undergo the developmental transitions asynchronously, so it is difficult to assemble a time series to resolve the sequence of transcriptional changes that take place during these rapid transitions. Single-plant-omics has the potential to distinguish between transcriptional events that are associated with these binary and continuous processes. Furthermore, we can utilise single-plant-omics to exploit this developmental asynchrony to order individual plants by their developmental trajectory, revealing a detailed cascade of transcriptional events.Here, we utilise single-plant-transcriptomics to resolve the transcriptional events that coincide with the onset of bolting. We performed RNA-seq on the leaves of individual plants from a large population of wild type Arabidopsis thaliana replicated at one time point during the vegetative-to-reproductive transition. Even though more than half of transcripts were differentially expressed between bolted and unbolted plants, we were able to find a subset of regulators that were more closely associated with gradual developmental traits like leaf size and biomass. Using a novel pseudotime inference algorithm, we determined that some senescence-associated processes, such as the reduction in ribosome biogenesis, are evident in the transcriptome before a bolt is visible.These results show the potential of single-plant-omics to reveal the detailed sequence of events that occur during rapid developmental transitions.Graphical abstractGraphical Abstract: Physiological changes around bolting can be categorised into: ‘binary’ processes, which appear to have either occurred or not occurred at any given timepoint; or continuous processes, which can be observed quantitatively. For binary processes, expression of strongly correlated genes can appear to follow a ‘step’ change dynamic over time. However, when considered over a shorter timescale, the dynamics appear much smoother. For continuous processes, the shorter timescale should also capture smooth changes in gene expression.
Parkinson’s genes orchestrate pyroptosis through selective trafficking of mtDNA to leaky lysosomes
Authors: Nguyen Mai , Collier Jack J , Ignatenko Olesia , Morin Genevieve , Huang Sidong , Desjardins Michel , McBride Heidi M 
Published: September 2023

ABSTRACTInflammation is an age-related factor that underlies numerous human disorders. A key driver of inflammation is the release of mitochondrial DNA (mtDNA), which binds and activates cytosolic sensors. This induces transcriptional responses and, ultimately, pyroptotic cell death. The main challenge has been to understand how mtDNA can cross the two mitochondrial membranes to access the cytosol. Through a genome-wide CRISPR knockout screen we identified a new pyroptotic pathway defined by mtDNA exit within mitochondrial-derived vesicles that are delivered to lysosomes. Critically, breach of lysosomes allows mtDNA to access cytosol, requiring multiple Parkinson’s Disease-related proteins and Gasdermin pores, identified in the screen. These data place mitochondria-to-lysosome transport as a driver of pyroptosis and link multiple PD proteins along a common pathway.One sentence summaryParkinson’s disease-related proteins regulate pyroptosis
Social media use and internalising symptoms in clinical and community adolescent samples: a systematic review and meta-analysis
Authors: Fassi Luisa , Thomas Kirsten , Parry Douglas A , Leyland-Craggs Amelia , Ford Tamsin J , Orben Amy 
Published: September 2023

AbstractImportanceThere are many concerns about the link between social media use and adolescent mental health. However, most research has studied adolescents from the general population, overlooking clinical groups. To address this gap, we synthesize, quantify and compare evidence on the relationship between social media use and internalising symptoms in adolescent clinical and community samples.Data SourcesWe searched five electronic databases for peer-reviewed publications (MEDLINE, Web of Science, PsychInfo, Scopus) and preprints (Europe PMC) published in English between 2007 and 2022.Study SelectionWe included cross-sectional and longitudinal studies quantifying the relationship between social media use and internalising symptoms, excluding experimental studies and randomised controlled trials. Two blinded reviewers initially identified 7389 studies.Data Extraction and SynthesisWe adhered to the PRISMA and MOOSE guidelines for selection and reporting. The data was pooled using a random-effect model and robust variance estimation. Two reviewers independently assessed the quality of evidence with the Quality of Survey Studies in Psychology Checklist.Main Outcomes and MeasuresWe preregistered our hypotheses and primary study outcomes on PROSPERO (CRD42022321473). Articles were included if they reported at least one quantitative measure of a) social media use: time spent, active vs. passive use, activity, content, user perception, and other; and b) internalising symptoms: anxiety, depression or both.ResultsWe reviewed 127 studies including 1,061,293 adolescents and 775 effect sizes, of which only 8% examined clinical samples. In these samples, we found a positive, significant yet small meta-correlation between social media use and internalising symptoms, both for time spent (N= 2893,r= .08,95% CI= [.01, .15],p= .033,I2= 57.83) and user engagement (N = 859;r= .12,95% CI= [.09, .15],p= .002,I2= 82.67). These associations mirrored those in community samples.Conclusions and RelevanceWe highlight a lack of research on clinical populations, a critical gap considering that public concerns centre on the increase in youth mental health symptoms at clinical levels. This paucity of evidence not only restricts the generalizability of existing research but also hinders our ability to effectively evaluate and compare the link between social media use and youth mental health.
A spatial local method for solving 2D and 3D advection-diffusion equations
Authors: Tunc Huseyin , Sari Murat 
Published: September 2023

PurposeThis study aims to derive a novel spatial numerical method based on multidimensional local Taylor series representations for solving high-order advection-diffusion (AD) equations.Design/methodology/approachThe parabolic AD equations are reduced to the nonhomogeneous elliptic system of partial differential equations by utilizing the Chebyshev spectral collocation method (ChSCM) in the temporal variable. The implicit-explicit local differential transform method (IELDTM) is constructed over two- and three-dimensional meshes using continuity equations of the neighbor representations with either explicit or implicit forms in related directions. The IELDTM yields an overdetermined or underdetermined system of algebraic equations solved in the least square sense.FindingsThe IELDTM has proven to have excellent convergence properties by experimentally illustrating both h-refinement and p-refinement outcomes. A distinctive feature of the IELDTM over the existing numerical techniques is optimizing the local spatial degrees of freedom. It has been proven that the IELDTM provides more accurate results with far fewer degrees of freedom than the finite difference, finite element and spectral methods.Originality/valueThis study shows the derivation, applicability and performance of the IELDTM for solving 2D and 3D advection-diffusion equations. It has been demonstrated that the IELDTM can be a competitive numerical method for addressing high-space dimensional-parabolic partial differential equations (PDEs) arising in various fields of science and engineering. The novel ChSCM-IELDTM hybridization has been proven to have distinct advantages, such as continuous utilization of time integration and optimized formulation of spatial approximations. Furthermore, the novel ChSCM-IELDTM hybridization can be adapted to address various other types of PDEs by modifying the theoretical derivation accordingly.
Unpacking regional variations of multidimensional food security in rural Ethiopia: insights for policy
Authors: Gadiso Workicho Jateno , Alemu Bamlaku Alamirew , Shete Maru 
Published: September 2023

PurposeThis study aims to measure the status of rural household food security across regions using multidimensional indicators. It also aims to identify the determinants of rural household food security in Ethiopia.Design/methodology/approachThe study adopted descriptive and explanatory designs. It used data from the fourth wave of the Ethiopian socioeconomic survey that has 3,115 respondents. The authors constructed household food security index using variables that capture availability, access, utilization and stability dimensions of food security. The authors categorized households into relative food security groups, namely, alarming and moderately food insecure, as well as moderately and highly food secure. Beta regression model, which is widely used to analyze response variables that assume values between 0 and 1, is used to estimate the determinants of food security.FindingsThe study finds that 77.7% of rural households are food insecure. Of this, 90% are moderately food insecure. Regional variations in magnitude of food security showed that Harari, Gambella and Benshanguel Gumuz regional states are relatively better-off than other regions in Ethiopia. The study identified sex, education level, marital status, location and wealth status of households as significant determinants of food security.Originality/valueThis study sheds light on regional variations in multidimensional food security in Ethiopia. It thus challenged previous estimates of food security using uni-dimensional indicator. It highlighted the need for region-specific analysis of determinants and a follow up of tailored regional interventions.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0139
Metacognitive awareness, knowledge and regulation of cognition factors among Lithuanian university students
Authors: Butvilas Tomas , Žilinskienė Deimantė , Bubnys Remigijus , Colomer Jordi , Cañabate Dolors , Masoodi Marjan 
Published: September 2023

PurposeThe importance of metacognitive awareness in learning, on the one hand, and the necessity of considering demographic variables, on the other hand, have encouraged the researchers to conduct this research. This research aims to initially determine the relationship between the level of metacognitive awareness and demographic variables of students from three Lithuanian universities, such as age, gender and area of study.Design/methodology/approachThe quantitative research strategy was applied in this study using the survey with the students scoring the Metacognitive Awareness Inventory (MAI). The research involved 296 students from three universities in Lithuania. Data were analysed using statistical analysis methods to compare different groups of subjects according to selected criteria.FindingsIt became evident that two demographic variables of age and the field of study had a relationship with knowledge of cognition. Conditional knowledge had a positive relation with the variables of age and the field of study. Procedural knowledge was the second area which had a relation with the area of this study. Therefore, it maybe be concluded that under specific circumstances, declarative and procedural knowledge is at the same level of performance while conditional knowledge revealed the highest relation with metacognitive awareness. Furthermore, no statistically significant difference was found with gender in all metacognitive subcomponents despite the initial assumption.Research limitations/implicationsOne of the limitations of this study is that the research did not address the actual application of metacognitive strategies during teaching and learning. The research would benefit from in-depth class observation and triangulation of data from various sources. The teaching model should be tested in a larger population to obtain aggregated results for a vast population.Originality/valueResults are significant in identifying students' cognitive abilities which can be attributed to various factors such as creativity, which in turn may efficiently foster students' potential. Metacognitive awareness can be developed by explicitly informing students about the importance of metacognition and life-long learning. Lecturers' role-modelling induce students to continuously assess, monitor, plan and reflect on their own learning process as well as to recognize cognition along with metacognitive prompts, questions, checklists, reports and discussion of topics in the learning process.
Academics' perceptions regarding performance evaluations and the consequences for their professional and personal activity
Authors: Mula-Falcón Javier , Caballero Katia 
Published: September 2023

PurposeImproving and assuring the quality of higher education has become a key element of policy agendas worldwide. To this end, a complete accountability system has been developed through various evaluation procedures. Specifically, this study analyzes the perceptions of university teaching staff on the impact of performance appraisal systems on their professional activity, health and personal lives.Design/methodology/approachThe study adopted a nonexperimental descriptive and causal-comparative design using a questionnaire that was completed by a sample of 2,183 Spanish teachers. The data obtained were analyzed using descriptive statistics and comparisons of differences.FindingsThe results show that, according to teachers, the evaluation criteria undermine the quality of their work by encouraging them to neglect teaching, increase scientific production and engage in unethical research practices. Their views also emphasize the social and health-related consequences of an increasingly competitive work climate, including increased stress levels. Finally, significant differences are observed regarding gender, professional category and academic discipline, with women, junior faculty and social sciences teachers expressing particularly strong views.Originality/valueThe originality of this study lies in the application of a method that contributes to the international debate through a national perspective (Spain) that has so far received little attention.
Understanding public opinions on Chinese short video platform by multimodal sentiment analysis using deep learning-based techniques
Authors: Shi Wei , Zhang Jing , He Shaoyi 
Published: September 2023

PurposeWith the rapid development of short videos in China, the public has become accustomed to using short videos to express their opinions. This paper aims to solve problems such as how to represent the features of different modalities and achieve effective cross-modal feature fusion when analyzing the multi-modal sentiment of Chinese short videos (CSVs).Design/methodology/approachThis paper aims to propose a sentiment analysis model MSCNN-CPL-CAFF using multi-scale convolutional neural network and cross attention fusion mechanism to analyze the CSVs. The audio-visual and textual data of CSVs themed on “COVID-19, catering industry” are collected from CSV platform Douyin first, and then a comparative analysis is conducted with advanced baseline models.FindingsThe sample number of the weak negative and neutral sentiment is the largest, and the sample number of the positive and weak positive sentiment is relatively small, accounting for only about 11% of the total samples. The MSCNN-CPL-CAFF model has achieved the Acc-2, Acc-3 and F1 score of 85.01%, 74.16 and 84.84%, respectively, which outperforms the highest value of baseline methods in accuracy and achieves competitive computation speed.Practical implicationsThis research offers some implications regarding the impact of COVID-19 on catering industry in China by focusing on multi-modal sentiment of CSVs. The methodology can be utilized to analyze the opinions of the general public on social media platform and to categorize them accordingly.Originality/valueThis paper presents a novel deep-learning multimodal sentiment analysis model, which provides a new perspective for public opinion research on the short video platform.
Study of transmission and reflection of hydrophilic transparent nano-titanium dioxide coating
Authors: Syafiq Amirul , Awalin Lilik Jamilatul , Ali Syukri , Arif Mohd 
Published: September 2023

Purpose
The paper aims to design the optimum formulation of the nano-titanium dioxide (TiO2) hydrophilic coating system using the synthetic polypropylene glycol (PPG), which can create the reflection and absorption property.

Design/methodology/approach
TiO2 nanoparticles are used as fillers, and PPG has been blended at the proper ratio of 1PPG: 0.2TiO2. The prepared resin has been applied onto the glass substrate at different numbers of glass immersions during the dip-coating fabrication process. One-time glass immersion is labeled as T1 coating, two-time glass immersion is labeled as T2 coating and three-time glass immersion is labeled as T3 coating. All the prepared coating systems were left dry at ambient temperature.

Findings
T3 coating showed the lowest reading of WCA value at 40.50°, due to higher surface energy at 61.73 mN/m. The T3 coating also shows the greatest absorbance property among the prepared coating systems among the prepared coating. In terms of reflectance property, the T2 coating system has great reflectance in UV region and near-infrared region, which is 16.47% and 2.77 and 2.73%, respectively. The T2 coating also has great optical transmission about 75.00% at the visible region.

Research limitations/implications
The development of thermal insulation coating by studying the relationship between convection heat and reflectance at different wavelengths of incident light.

Practical implications
The developed coating shows high potential for glass window application.

Originality/value
The application of the hydrophilic coating on light absorption, reflectance and transmission at different wavelengths.
The Rohingya refugee crisis: political and humanitarian perspectives
Authors: Md Shahin Kabir , Hasan Moyenul 
Published: September 2023

PurposeThis paper aims to examine the prevailing Rohingya refugee crisis from political and humanitarian perspectives and explores the political and humanitarian aspects of the Rohingya refugee crisis.Design/methodology/approachRelevant literature has been reviewed for conceptual understanding. This study is descriptive and qualitative in nature and based on secondary sources of data.FindingsThe main causes of the Rohingya crisis such as political and humanitarian aspects. Issues such as discrimination and homelessness, and national security concerns that regional politics scapegoated the Rohingya to exacerbate regional tensions. Moreover, armed conflicts, political radicalization, security concerns, human rights violations and low media attention compared to other displaced families have made the future of the Rohingyas very uncertain.Practical implicationsThe Rohingya crisis has far-reaching implications for domestic and regional politics as well as for relations with major world powers. In the context of regional security and geopolitics, this study provides insight into the polarization and politicization of the Rohingya minority.Originality/valueThis research offers a vital exploration of the Rohingya refugee crisis, delving into its multifaceted political and humanitarian dimensions, contributing fresh insights to address a pressing global concern.