bluuebunny/crossref_metadata_2025_split huggingface dataset:
Time series single-cell transcriptional atlases reveal cell fate differentiation driven by light in Arabidopsis seedlings
Authors: Han Xue , Zhang Yilin , Lou Zhiying , Li Jian , Wang Zheng , Gao Chunlei , Liu Yi , Ren Zizheng , Liu Weimin , Li Bosheng , Pan Wenbo , Zhang Huawei , Sang Qing , Wan Miaomiao , He Hang , Deng Xing Wang 
Published: October 2023

AbstractLight serves as the energy source for plants as well as a signal for growth and development during their whole life cycle. Seedling de-etiolation is the most dramatic manifestation of light-regulated plant development processes, as massive reprogramming of the plant transcriptome occurs at this time. Although several studies have reported about organ-specific development and expression induced by light, a systematic analysis of cell-type-specific differentiation and the associated transcriptional regulation is still lacking. Here we obtained single-cell transcriptional atlases for etiolated, de-etiolating and light-grown Arabidopsisthaliana seedlings. Informative cells from shoot and root tissues were grouped into 48 different cell clusters and finely annotated using multiple markers. With the determination of comprehensive developmental trajectories, we demonstrate light modulation of cell fate determination during guard cell specialization and vasculature development. Comparison of expression atlases between wild type and the pifq mutant indicates that phytochrome-interacting factors (PIFs) are involved in distinct developmental processes in endodermal and stomatal lineage cells via controlling cell-type-specific expression of target genes. These results provide information concerning the light signalling networks at the cell-type resolution, improving our understanding of how light regulates plant development at the cell-type and genome-wide levels. The obtained information could serve as a valuable resource for comprehensively investigating the molecular mechanism of cell development and differentiation in response to light.
The full health, economic, and social benefits of prospective Strep A vaccination
Authors: Cadarette Daniel , Ferranna Maddalena , Cannon Jeffrey W. , Abbas Kaja , Giannini Fiona , Zucker Leo , Bloom David E. 
Published: October 2023

AbstractRecent research has documented a wide range of health, economic, and social benefits conferred by vaccination, beyond the direct reductions in morbidity, mortality, and future healthcare costs traditionally captured in economic evaluations. In this paper, we describe the societal benefits that would likely stem from widespread administration of safe and effective vaccines against Streptococcus pyogenes (Strep A), which was estimated to be the fifth-leading cause of infectious disease deaths globally prior to the COVID-19 pandemic. We then estimate the global societal gains from prospective Strep A vaccination through a value-per-statistical-life approach. Estimated aggregate lifetime benefits for 30 global birth cohorts range from $1.7 to $5.1 trillion, depending on the age at which vaccination is administered and other factors. These results suggest that the benefits of Strep A vaccination would be large and justify substantial investment in the vaccines’ development, manufacture, and delivery.
Chitosan-based fluorescent inverse opal particles for Cr(VI) sensing
Authors: Su Haiwen , Chen Hong , Wen Baojie , Lu Ling , Zhang Dagan , Wang Huan 
Published: October 2023

AbstractChitosan (CS) is a natural polymer widely used in many fields. However, there are seldom studies that focus on its inherent fluorescence properties. In this work, based on the inherent fluorescence of chitosan (CS) and the mechanism that it can be quenched by hexavalent chromium (Cr(VI)), we developed novel CS-based inverse opal particles (IOPs) for Cr(VI) detection. The CS IOPs were obtained by replicating the silica colloidal crystal beads using CS, which displayed uniform shape and size, as well as enhanced fluorescence-emission capability resulted from the unique microstructure. Under the optimized conditions, the CS IOPs responded to Cr(VI) in a range of 0–10,000 μM with high sensitivity and specificity and demonstrated a LOD of 0.055 μM at the linear range of 0–30 μM. Furthermore, they displayed good detection ability in practical applications with recoveries of 86–106% for tap water and 99.7–107.3% for pond water, respectively. With these features, the developed CS IOPs are promising to be a simple, low-cost, and fast platform for detecting Cr(VI).
A field study of the impacts of workplace diversity on the recruitment of minority group members
Authors: Nichols Aaron D. , Axt Jordan , Gosnell Evelyn , Ariely Dan 
Published: October 2023

AbstractIncreasing workplace diversity is a common goal. Given research showing that minority applicants anticipate better treatment in diverse workplaces, we ran a field experiment (N = 1,585 applicants, N = 31,928 website visitors) exploring how subtle organizational diversity cues affected applicant behaviour. Potential applicants viewed a company with varying levels of racial/ethnic or gender diversity. There was little evidence that racial/ethnic or gender diversity impacted the demographic composition or quality of the applicant pool. However, fewer applications were submitted to organizations with one form of diversity (that is, racial/ethnic or gender diversity), and more applications were submitted to organizations with only white men employees or employees diverse in race/ethnicity and gender. Finally, exploratory analyses found that female applicants were rated as more qualified than male applicants. Presenting a more diverse workforce does not guarantee more minority applicants, and organizations seeking to recruit minority applicants may need stronger displays of commitments to diversity.
Antimicrobial resistance and whole genome sequencing of novel sequence types of Enterococcus faecalis, Enterococcus faecium, and Enterococcus durans isolated from livestock
Authors: El Zowalaty Mohamed E. , Lamichhane Bibek , Falgenhauer Linda , Mowlaboccus Shakeel , Zishiri Oliver T. , Forsythe Stephen , Helmy Yosra A. 
Published: October 2023

AbstractThe emergence of antimicrobial-resistant, livestock-associated Enterococcus faecalis represents a public health concern. Here, we report the isolation, molecular detection of virulence and antimicrobial resistance determinants, in addition to the phylogenetic analyses of 20 Enterococcus species using whole genome sequencing analysis of 15 Enterococcus faecalis strains including six strains of three novel sequence types, three Enterococcus faecium and two Enterococcus durans. All strains were isolated from food chain animals in South Africa. Enterococcus strains were isolated on bile aesculin azide agar, followed by identification using MALDI-TOF MS analysis. Antibiotic susceptibility testing was performed using the Kirby–Bauer disk diffusion method. The genomic DNA of the isolates was extracted and sequencing was performed using the Illumina MiSeq platform. Sequence reads were trimmed and de novo assembled. The assembled contigs were analyzed for antimicrobial resistance genes and chromosomal mutations, extra-chromosomal plasmids, and multi-locus sequence type (MLST). Multidrug antimicrobial resistance genes conferring resistance to aminoglycosides (ant(6)-Ia, aph(3′)-IIIa, sat4, and spw), lincosamides (lnu(B), lsa(A), and lsa(E)), macrolides (erm(B)), trimethoprim (dfrG) and tetracyclines (tet(L) and tet(M)) were identified. Plasmid replicons were detected in seven E. faecalis and three E. faecium isolates. The sequence type (ST) of each isolate was determined using the Enterococcus PubMLST database. Ten STs were identified in the collection, three of which (ST1240, ST1241, and ST1242) have not been previously reported and are described in the present study for the first time. To compare the sequenced strains to other previously sequenced E. faecalis strains, assembled sequences of E. faecalis from livestock were downloaded from the PubMLST database. Core genome-based phylogenetic analysis was performed using ParSNP. The detection of multiple drug-resistance in Enterococcus including E. faecalis and E. faecium highlights the significance of genomic surveillance to monitor the spread of antimicrobial resistance in food chain animals. In addition, the genome sequences of Enterococcus strains reported in the present study will serve as a reference point for future molecular epidemiological studies of livestock-associated and antibiotic-resistant E. faecalis in Africa. In addition, this study enables the in-depth analysis of E. faecalis genomic structure, as well as provides valuable information on the phenotypic and genotypic antimicrobial resistance, and the pathogenesis of livestock-associated E. faecalis and E. faecium.
The formation of a rolling larval chamber as the unique structural gall of a new species of cynipid gall wasps
Authors: Ide Tatsuya , Koyama Asuka 
Published: October 2023

AbstractInsect galls, which often have complex external and internal structures, are believed to have adaptive significance for the survival of insects inside galls. A unique internal structure was discovered in the gall of a new cynipid species, Belizinella volutum Ide & Koyama, sp. nov., where the larval chamber could roll freely in the internal air space of the gall. Observations of the live galls using micro-computed tomography (micro-CT) revealed its formation process. The larval chamber becomes isolated from the internal parenchyma soon after the gall reaches the maximum diameter and is able to roll as the internal air space is expanding from the surrounding parenchyma to the outer gall wall. The enemy hypothesis could partly explain the adaptive significance of the unique structure of the gall of B. volutum.
Wastewater analysis for new psychoactive substances and cocaine and cannabis in a Northern Ireland Prison
Authors: Davies Bethan , Paul Richard , Osselton David 
Published: October 2023

AbstractThe global drug market has been significantly impacted by the emergence of new psychoactive substances, leading to challenges in creating effective legislative controls and their use within recreational drug consumption. This research explores the prevalence of new psychoactive substances and non-medicinal and medicinal compounds within a prison facility in Northern Ireland. Wastewater samples collected from seven different manholes within the prison were analysed for 37 target compounds including the two most found illicit substances: benzoylecgonine (primary metabolite of cocaine) and cannabis. Using solid phase extraction with Oasis HLB and liquid-chromatography-time-of-flight-mass spectrometry across a gradient of 9 min, our analysis revealed that benzoylecgonine was the sole compound consistently present in all collected samples. Following this finding, our target compound selection was broadened to encompass medicinal compounds and employing qualitative analysis we re-evaluated the samples and discovered the presence of buprenorphine, benzodiazepines, methadone, morphine, and codeine. Finally, the study explored the application of enzymatic beta-glucuronidase hydrolysis to the samples. This final phase yielded significant findings, indicating the presence of codeine and nordiazepam at higher peak intensities, thereby shedding light on the potential implications of this enzymatic process.
Native American geography shaped historical fire frequency in forests of eighteenth-century Pennsylvania, USA
Authors: Tulowiecki Stephen J. , Hanberry Brice B. , Abrams Marc D. 
Published: October 2023

AbstractResearchers have debated the relative importance of environmental versus Indigenous effects on past fire regimes in eastern North America. Tree-ring fire-scar records (FSRs) provide local-resolution physical evidence of past fire, but few studies have spatially correlated fire frequency from FSRs with environmental and anthropogenic variables. No study has compared FSR locations to Native American settlement features in the eastern United States. We assess whether FSRs in the eastern US are located near regions of past Native American settlement. We also assess relationships between distance to Native American settlement, environmental conditions, and fire frequency in central Pennsylvania (PA), US, using an “ensemble of small models” approach for low sample sizes. Regression models of fire frequency at 21 locations in central PA often selected distance-based proxies of Indigenous land use. Models with mean annual temperature and Native American variables as predictors explained > 70% of the variation in fire frequency. Alongside temperature and wind speed, “distance to nearest trail” and “mean distance to nearest town” were significant and important predictors. In 18th-century central PA, fires were more frequent near Indigenous trails and towns, and further south due to increasing temperature and pyrophilic vegetation. However, for the entire eastern US, FSRs are located far from past settlement, limiting their effectiveness in detecting fire patterns near population centers. Improving understanding of historical fire will require developing FSRs closer to past Native American settlement.
Solutions of fuzzy advection-diffusion and heat equations by natural adomian decomposition method
Authors: Jamal Noor , Sarwar Muhammad , Agarwal Parveen , Mlaiki Nabil , Aloqaily Ahmad 
Published: October 2023

AbstractIn this article, we present an algorithm for computing analytical solutions of linear fuzzy advection-diffusion equations and one-dimensional fuzzy heat equations involving an external source. The fuzzy problems can be solved by using the natural transform and Adomian decomposition method. The results obtained through the natural Adomian decomposition method are calculated in a series form that converges rapidly to the exact solution. To enhance the practicality of our work, we provide examples to illustrate our findings.
A Web-GIS tool for diagnosing spatial orientation of young adults: design and evaluation of Geo-Survey
Authors: Kulawiak Marcin , Krajnik Dominik , Czaplicka Marta , Dawidowicz Agnieszka 
Published: October 2023

AbstractSpatial orientation is the effectiveness with which one is able to assess the mutual location of objects relative to a point of reference or a system of coordinates. Traditionally, this ability has been evaluated through field navigation tests, which do not take into account the prevailing influence of free online maps and virtual walks on a person’s interpretation of space. In this context, this study presents a Web-GIS tool designed and developed to examine spatial orientation skills in the context of the used map type. The tool, named Geo-Survey, enables combination of survey questions with customized maps, providing users with a set of possible answer types. Moreover, using the unique concept of predefined answers, the tool attempts to automate the process of analysing research results. The tools’ performance is evaluated via assessing the spatial orientation skills of a group of young adults.
Augmentation of plant biomass productivity using epigeic earthworm Perionyx excavatus and Eisenia fetida as soil nutrient facilitators
Authors: Jing Lirikum , Kakati Lakhmi Nandan , Ao Bendang , Kiewhuo Patricia 
Published: October 2023

AbstractWith the increasing demand for organic food production, the earthworm is used as a soil nutrient facilitator. The present study was conducted to assess the effect of epigeic earthworms Perionyx excavatus and Eisenia. fetida on soil nutrients and the consequent improvement of biomass productivity and yield of Capsicum chinense Jacq and Zea mays L. The experiment was conducted in 5 L and 15 L capacity plastic pots for C. chinense and Z. mays with 150 g and 300 g of half-decomposed cow dung, respectively. It was observed that the weekly harvest rate of ripened chili was 17.59 g, 13.91 g, and 9.24 g in P. excavatus, control, and E. fetida pot showing 26.49% higher in P. excavatus. Also, the total kernel count per corn was significantly different (F(2, 9) = 37.78, p < 0.05), with the highest kernel present in P. excavatus(333.5 ± 13.5), followed by E. fetida(261.5 ± 16.5) and control (235 ± 22). The impact of P. excavatus was more perceptible in C. chinense, indicated by higher leaf biomass (69.16%), root length (30.14%), and fruit harvest (71.03%). However, the effect of E. fetida was noticed more in Z. mays (stem length, 19.24%, stem biomass, 14.39%, root biomass, 20.9%, kernel count, 41.91%, and kernel weight, 95.07%). Enhanced plant productivity was also supported by an increasing soil nutrient turnover in organic carbon (OC) (25.76% and 23.4%), Phosphorus (P) (31.03% and 25.67%), and Potassium (K) (41.67% and 12.26) in P. excavatus and E. fetida worked soil respectively. The findings indicate that earthworms have a notable impact on plant biomass productivity by promoting the mineralization of soil nutrients and imply on possibility of organic cultivation of seasonal vegetables without using synthetic fertilizers.
Reduction of retinal ganglion cell death in mouse models of familial dysautonomia using AAV-mediated gene therapy and splicing modulators
Authors: Schultz Anastasia , Cheng Shun-Yun , Kirchner Emily , Costello Stephanann , Miettinen Heini , Chaverra Marta , King Colin , George Lynn , Zhao Xin , Narasimhan Jana , Weetall Marla , Slaugenhaupt Susan , Morini Elisabetta , Punzo Claudio , Lefcort Frances 
Published: October 2023

AbstractFamilial dysautonomia (FD) is a rare neurodevelopmental and neurodegenerative disease caused by a splicing mutation in the Elongator Acetyltransferase Complex Subunit 1 (ELP1) gene. The reduction in ELP1 mRNA and protein leads to the death of retinal ganglion cells (RGCs) and visual impairment in all FD patients. Currently patient symptoms are managed, but there is no treatment for the disease. We sought to test the hypothesis that restoring levels of Elp1 would thwart the death of RGCs in FD. To this end, we tested the effectiveness of two therapeutic strategies for rescuing RGCs. Here we provide proof-of-concept data that gene replacement therapy and small molecule splicing modifiers effectively reduce the death of RGCs in mouse models for FD and provide pre-clinical foundational data for translation to FD patients.
Predicting the strengths of date fiber reinforced concrete subjected to elevated temperature using artificial neural network, and Weibull distribution
Authors: Adamu Musa , Rehman Khalil Ur , Ibrahim Yasser E. , Shatanawi Wasfi 
Published: October 2023

AbstractDate palm fiber (DPF) is normally used as fiber material in concrete. Though its addition to concrete leads to decline in durability and mechanical strengths performance. Additionally, due to its high ligno-cellulose content and organic nature, when used in concrete for high temperature application, the DPF can easily degrade causing reduction in strength and increase in weight loss. To reduce these effects, the DPF is treated using alkaline solutions. Furthermore, pozzolanic materials are normally added to the DPF composites to reduce the effects of the ligno-cellulose content. Therefore, in this study silica fume was used as supplementary cementitious material in DPF reinforced concrete (DPFRC) to reduce the negative effects of elevated temperature. Hence this study aimed at predicting the residual strengths of DPFRC enhanced/improved with silica fume subjected to elevated temperature using different models such as artificial neural network (ANN), multi-variable regression analysis (MRA) and Weibull distribution. The DPFRC is produced by adding DPF in proportions of 0%, 1%, 2% and 3% by mass. Silica fume was used as partial substitute to cement in dosages of 0%, 5%, 10% and 15% by volume. The DPFRC was then subjected to elevated temperatures between 200 and 800 °C. The weight loss, residual compressive strength and relative strengths were measured. The residual compressive strength and relative strength of the DPFRC declined with addition of DPF at any temperature. Silica fume enhanced the residual and relative strengths of the DPFRC when heated to a temperature up to 400 °C. To forecast residual compressive strength (RCS) and relative strength (RS), we provide two distinct ANN models. The first layer's inputs include DPF (%), silica fume (%), temperature (°C), and weight loss (%). The hidden layer is thought to have ten neurons. M-I is the scenario in which we use RCS as an output, whereas M-II is the scenario in which we use RS as an output. The ANN models were trained using the Levenberg–Marquardt backpropagation algorithm (LMBA). Both neural networking models exhibit a significant correlation between the predicted and actual values, as seen by their respective R = 0.99462 and R = 0.98917. The constructed neural models M-I and M-II are highly accurate at predicting RCS and RS values. MRA and Weibull distribution were used for prediction of the strengths of the DPFRC under high temperature. The developed MRA was found to have a good prediction accuracy. The residual compressive strength and relative strength followed the two-parameter Weibull distribution.
Spatial compartmentalisation of bacteria in phoronid microbiomes
Authors: Holt Corey C. , Dhaliwal Sahib , Na Ina , Mtawali Mahara , Boscaro Vittorio , Keeling Patrick 
Published: October 2023

AbstractThe phylum Phoronida comprises filter-feeding invertebrates that live in a protective tube sometimes reinforced with particulate material from the surrounding environments. Animals with these characteristics make promising candidate hosts for symbiotic bacteria, given the constant interactions with various bacterial colonizers, yet phoronids are one of the very few animal phyla with no available microbiome data whatsoever. Here, by sequencing the V4 region of the 16S rRNA gene, we compare bacterial microbiomes in whole phoronids, including both tube and living tissues, with those associated exclusively to the isolated tube and/or the naked animal inside. We also compare these communities with those from the surrounding water. Phoronid microbiomes from specimens belonging to the same colony but collected a month apart were significantly different, and bacterial taxa previously reported in association with invertebrates and sediment were found to drive this difference. The microbiomes associated with the tubes are very similar in composition to those isolated from whole animals. However, just over half of bacteria found in whole specimens are also found both in tubes and naked specimens. In conclusion, phoronids harbour bacterial microbiomes that differ from those in the surrounding water, but the composition of those microbiomes is not stable and appears to change in the same colony over a relatively short time frame. Considering individual spatial/anatomical compartments, the phoronid tube contributes most to the whole-animal microbiome.