bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elastic fibers define embryonic tissue stiffness to enable buckling morphogenesis of the small intestine
Authors: Loffet Elise A. , Durel John F. , Kam Richard , Lim Hyunjee , Nerurkar Nandan L. 
Published: July 2023

ABSTRACTDuring embryonic development, tissues must possess precise material properties to ensure that cell-generated forces give rise to the stereotyped morphologies of developing organs. However, the question of how material properties are established and regulated during development remains understudied. Here, we aim to address these broader questions through the study of intestinal looping, a process by which the initially straight intestinal tube buckles into loops, permitting ordered packing within the body cavity. Looping results from elongation of the tube against the constraint of an attached tissue, the dorsal mesentery, which is elastically stretched by the elongating tube to nearly triple its length. This elastic energy storage allows the mesentery to provide stable compressive forces that ultimately buckle the tube into loops. Beginning with a transcriptomic analysis of the mesentery, we identified widespread upregulation of extracellular matrix related genes during looping, including genes related to elastic fiber deposition. Combining molecular and mechanical analyses, we conclude that elastin confers tensile stiffness to the mesentery, enabling its mechanical role in organizing the developing small intestine. These results shed light on the role of elastin as a driver of morphogenesis that extends beyond its more established role in resisting cyclic deformation in adult tissues.
Hundreds of words for Kathleen Stewart: A four‐dimensional retirement party for metaphysical rhizomes
Authors: Hazera Eduardo 
Published: July 2023

SummaryThis essay introduces a collection of one‐hundred‐word reflections celebrating Kathleen Stewart's retirement. Dozens of scholars participated in this celebration. Each participant wrote a one‐hundred‐word reflection to stand alone as an individually authored piece. The disconnected brevity of these reflections may catch some readers off guard. Thus, this introduction develops a lingua franca to welcome as many potential readers as possible. This lingua franca combines five dialects: poetic, metaphoric, bibliographic, historic, and dialogic. Grounded in poetic form, this introduction speaks in the metered voice of one‐hundred‐word chunks. Many of these chunks offer metaphorical proposals for how to read our celebratory collection. Bibliographic citations, appearing throughout, create affective resonances with various scholarly literatures. Acknowledging anthropology's emphasis on context specificity, some chunks describe the historical development of the one‐hundred‐word form. Dialogically, this introduction uses the second‐person pronoun, you, to invite conversations rather than critiques. Such a five‐part lingua franca engages two camps of readers: readers who enjoy experimentation may think this introduction is too paranoid; readers who cringe at experimentation may think this introduction is too poetic. Alienating as few readers as possible, this essay proposes a Goldilocks solution: not too paranoid, not too poetic, but just right—or “good enough” (Milo 2019).
The mediation effect of glucocorticoid receptor gene (NR3C1) methylation between childhood maltreatment and depressive symptoms in Chinese adolescents: A 2‐year longitudinal study
Authors: Chen Meijing , Cao Cong 
Published: July 2023

AbstractThis three‐wave longitudinal study examined whether methylation alterations in promoter exon 1F of a stress‐related gene—NR3C1 (NR3C1‐1F)—explained the longitudinal associations between childhood maltreatment and adolescent depressive symptoms. A total of 370 Han Chinese adolescents (Mage = 16.31 ± 1.28 years; 51.4% girls) recruited from Shandong, China were tracked from 2018 to 2020. The results showed that the severity of childhood maltreatment, especially that of emotional abuse and physical neglect, conferred risk for adolescent depressive symptoms via reducing NR3C1‐1F methylation levels. These mediation effects of NR3C1‐1F methylation did not vary between adolescent sex or NR3C1 BclI and Tth111I polymorphisms. The findings highlight how childhood maltreatment contributes to psychopathology development at a biological level.
Periostin‐integrin interaction regulates force‐induced TGF‐β1 and α‐SMA expression by hPDLSCs
Authors: Na Nan Daneeya , Klincumhom Nuttha , Trachoo Vorapat , Everts Vincent , Ferreira Joao N. , Osathanon Thanaphum , Pavasant Prasit 
Published: July 2023

AbstractObjectivePeriostin (PN), a major matricellular periodontal ligament (PDL) protein, modulates the remodeling of the PDL and bone, especially under mechanical stress. This study investigated the requirement of PN‐integrin signaling in force‐induced expression of transforming growth factor‐beta 1 (TGF‐β1) and alpha‐smooth muscle actin (α‐SMA) in human PDL stem cells (hPDLSCs).MethodsCells were stimulated with intermittent compressive force (ICF) using computerized controlled apparatus. Cell migration was examined using in vitro scratch assay. The mRNA expression was examined using real‐time polymerase chain reaction. The protein expression was determined using immunofluorescent staining and western blot analysis.ResultsStimulation with ICF for 24 h increased the expression of PN, TGF‐β1, and α‐SMA, along with increased SMAD2/3 phosphorylation. Knockdown of POSTN (PN gene) decreased the protein levels of TGF‐β1 and pSMAD2/3 upon force stimulation. POSTN knockdown of hPDLSCs resulted in delayed cell migration, as determined by a scratch assay. However, migration improved after seeding these knockdown cells on pre‐PN‐coated surfaces. Further, the knockdown of αVβ5 significantly attenuated the force‐induced TGF‐β1 expression.ConclusionOur findings indicate the importance of PN‐αVβ5 interactions in ICF‐induced TGF‐β1 signaling and the expression of α‐SMA. Findings support the critical role of PN in maintaining the PDL's tissue integrity and homeostasis.
Genetic variability of mutant rice (Oryza sativa) genotype induced by gamma rays
Authors: ISHAK ISHAK 
Published: July 2023

Abstract. Ishak I. 2023. Genetic variability of mutant rice (Oryza sativa) genotype induced by gamma rays. Biodiversitas 24: 3300-3306. Rice seeds of Sidenuk cultivars were irradiated by gamma rays creating a broad spectrum of genetic variability among individual plants at M3 generation progeny. Gamma Irradiated seeds created Mutation among the somatic cells population in mature embryos at M1 generations. Somatic cell mutation influenced the genetic structures of gametes cells formation on gametogenesis at M1 plants. Observation of M2 plants showed that black and brown colors of rice's pericarp were found with rice's lemma, and palea color was different compared to the wild type (Sidenuk cultivars). Seven plants with black rice pericarp colors out of 330 were obtained at M2 plants. Chlorophyll mutation was observed at M4 generation; the results showed that chimera, green, and albino leaf blade was obtained in several individual plants. There were also the variability of Palea and lemma colors among individual plant such as green, white, and purple. The cellular biology approach will explain these mutations before molecular biology identification is made.
High-temperature oxidation and hot corrosion behavior of the Inconel 738LC coating with and without Al2O3-CNTs
Authors: Alsultani Kadhim F. , Majidi Hassan Sh. , Abdulameer Sara , Karkush Mahdi 
Published: July 2023

Abstract
The high-temperature corrosion of turbine blades poses a serious threat to the efficiency of electrical gas power stations, which results in heavy economic losses. In the present study, the Inconel 738 low-carbon steel utilized in the turbine blades was coated on alumina (Al2O3) in a variety of percentages of carbon nanotubes (4, 6, and 8 wt%) using the plasma spray technique. The behavior of the Inconel 738LC alloy with and without artificial ash (67 wt% H2SO4 and 33 wt% V2O5) at different temperatures (650, 750, 850, and 950°C) was investigated. The cycles of hot corrosion and oxidation were achieved in an electric furnace for 10 cycles of 5 h each. After each cycle, the weight changes were measured and recorded. The SEM and XRD achieved for all the specimens were noted, before and post the corrosion.
An observational study of cannabis exposures reported to the Poison Information Helpline of the Western Cape
Authors: Venter Jakus , Murugan Sashen , Bentley Alison 
Published: July 2023

ABSTRACT

Background: Cannabis has been decriminalised for private use in South Africa in September 2018. This act may potentially lead to an increase of undesirable effects from cannabis exposures.

Objectives: To describe the demographics and characteristics of reported cannabis exposure cases from June 2015 to June 2019.

Methods: This was a retrospective, observational, cross-sectional study of reported cannabis exposures reported to the Poisons Information Helpline of the Western Cape (PIHWC). Data included: demographics; circumstances of exposure; route of exposure; symptom profile and changes in the number of reports made to the PIHWC from June 2015 to June 2019.

Results: A total of 106 database entries were identified. The most common age groups were 20–59 years old (52.8%) followed by under 12 years old (27.3%). There was a threefold increase in cases reported during the period 06/2018 – 06/2019, compared the period 06/2015 – 06/2016. Accidental overuse (40.6%), substance abuse (26.4%) and intentional self-harm (19.8%) were the most reported circumstances of exposure. The most common route of exposure was oral (66.0%) followed by inhalation (26.4%). Central nervous system (75.5%) and gastrointestinal (20.8%) symptoms were commonly reported. Central nervous system symptoms were more commonly reported in children 12 years and younger (p=0.001) compared to those over 12 years.

Conclusion: During the study period undesired effects of cannabis were commonly reported after accidental exposures and oral ingestions. Children 12 years and younger are more likely to report neurological symptoms.
Air-promoted light-driven hydrogen production from bioethanol over core/shell CrOx@GaN nanoarchitecture
Authors: ZHOU BAOWEN , Wang Zhouzhou , Chen Yiqing , Sheng Bowen , Li Jinglin , Yao Lin , Yu Ying , Song Jun , Yu Tianqi , Li Yixin , Pan Hu , wang ping , Wang Xinqiang , Zhu Lei 
Published: July 2023

Abstract
Light-driven hydrogen production from renewable liquid biomass derivatives rather than fossil fuels offers an ideal path towards carbon neutrality.1–3 It is often however operated under an anaerobic condition with the limitations of sluggish kinetics and severe coking. Herein, a disruptive air-promoted strategy is explored for exceptionally efficient and durable light-driven hydrogen production from bioethanol over a core/shell Cr2O3@GaN nanowires semiconducting architecture. Owing to the unique catalytic attributes of Cr2O3@GaN, bioethanol is energetically favorable to be adsorbed on the Cr2O3@GaN interface, followed by dehydrogenation toward acetaldehyde and protons by photoexcited holes. The released protons are then consumed for H2 evolution by photogenerated electrons. After that, O2 can be evolved into active oxygen species and promote the continuous deprotonation and C-C cleavage of the key C2 intermediate, thus significantly lowering the reaction energy barrier of hydrogen evolution from bioethanol and removing the carbon residual with inhibited bioethanol overoxidation. As a result, hydrogen is produced at a high rate of 76.9 mole H2 per gram Cr2O3@GaN per hour by only feeding bioethanol, air, and light. Notably, an unprecedented light-to-hydrogen efficiency of 17.6% is achieved under concentrated light illumination of 7 W∙cm-2. A distinguished turnover frequency of > 2,314,000 mole H2 per mole Cr2O3 per hour, in conjunction with a superior stability of 180 hours, leads to the achievement of a record-high turnover number of 266,943,000 mole H2 per mole Cr2O3. The simultaneous generation of aldehyde from bioethanol dehydrogenation enables the process more economically promising.
Evaluation of spatial and temporal anomalies of major air pollutants using TROPOMI and MODIS data over the Annamayya district of India
Authors: Mogaraju Jagadish Kumar 
Published: July 2023

Abstract
Air pollution can be treated as a ‘now business’ instead of a pending forecast-mediated long-term response, and it needs to be addressed as swiftly as possible. COVID-19 has impacted us in diverse ways hindering our daily life and cautioning us to enhance preparation strategies to yield an immediate and appropriate response. The selected air pollutants in this study are aerosols, methane, carbon monoxide, sulfur dioxide, nitrogen dioxide, and particulate matter derived from aerosol optical depth. The data needed for this study is collected from TROPOMI (Tropospheric measurement instrument) of Sentinel-5 P and MODIS. Three urban centers were selected to know the disparities in air pollutant concentrations using time series plots. The area-averaged maps were produced using data from 2019 to 2022 of selected pollutants. The sulfur dioxide (0.288343), nitrogen dioxide (0.602766), formaldehyde (0.429631), carbon monoxide (0.959546), methane (0.807138), aerosol optical depth (0.852948), aerosol Index (0.936116), and particulate matter (0.852948) concentrations are correlated over temporal scale. The overall understanding as a result of this work is that on a large scale (district level), the effect of COVID-19 on air pollution is relatively obvious, whereas, in small regions, due to a lack of ground observation stations, it is not clear. This kind of work can help the local administration to increase the infrastructure that can help in reducing air pollution and, by extension, improve human health and the environment.
Haplotype-based noninvasive prenatal diagnoses of 36 fetuses with spinal muscular atrophy in the real clinical environment at early gestation age
Authors: Li Huanyun , Li Shaojun , Zhao Zhenhua , Fu Xinyu , Zhu Jingqi , Feng Jun , Tang Weiqin , Wu Di , Kong Xiangdong 
Published: July 2023

Abstract
Objective
To explore the feasibility of noninvasive prenatal diagnoses (NIPD) based on haplotype construction and Bayes factor (BF) for spinal muscular atrophy (SMA) in clinical application.
Methods
36 singleton families with pregnancy risk of SMA were recruited and all the recruited members were conducted MLPA to validate the copy number of exons 7 and 8 in SMN1 and SMN2 genes. The designed capture panel covered the entire SMN1/2 genes, including all exon and intron regions of the two genes. To ensure the NIPD accuracy, four quality control standards were set: sequencing depth, the number of informative SNPs, cell-free DNA fetal fraction, and the recombination event assessment. By enriching targeting genes and informative SNP sites in adjacent regions, the family haplotype was constructed and the fetal genotype was determined based on the dose change of the informative SNPs in cfDNA combined with BF algorithm. All NIPD results were verified by chorionic villus sampling (CVS), amniocentesis, or apoblema testing.
Results
In the 36 recruited SMA families, 34 (94.4%) families were successfully tested for NIPD, and 2 (5.56%) families could not be determined exactly because of the recombination event near the pathogenic mutations. In successful families, the earliest gestational week for NIPD was 7+ 3 weeks, and the lowest free fetal DNA fraction was 1.9%. A total of 8 affected fetuses, 6 paternal carriers, 8 maternal carriers, and 12 unaffected fetuses were detected. The consistency between NIPD results and invasive MLPA diagnosis was 100%. Four (11.1%) of the families obtained accurate results after redrawing blood samples due to low fetal fraction or insufficiency of informative SNPs. Follow-up results showed that all families with affected NIPD results underwent abortions, and the families with carrier and normal results chose to deliver the fetus.
Conclusion
NIPD is a noninvasive, high-accuracy, early pregnancy detection and cost-controllable technical method. The haplotype construction and BF analysis have considerable reliability and feasibility and could be used in the detection of other recessive monogenic diseases.
Exploring the Influence of Drivers’ Visual Surroundings on Speeding Behavior
Authors: Ugan Jorge , Abdel-Aty Mohamed , Islam Zubayer 
Published: July 2023

Abstract
Despite awareness campaigns and legal consequences, speeding is a significant cause of road accidents and fatalities globally,. To combat this issue, understanding the impact of a driver's visual surroundings is crucial in designing roadways that discourage speeding. This study investigates the influence of visual surroundings on drivers in 15 US cities using 3,407,253 driver view images from Lytx, covering 4,264 miles of roadways. By segmenting and analyzing these images along with vehicle-related variables, the study examines factors affecting speeding behavior. After filtering the images, to ensure an accurate representation of the driver’s view, 1,340,035 driver view images were used for analysis. Statistical models, including hurdle beta and bivariate probit models with random driver effects as well as Machine Learning’s eXtreme Gradient Boosting (XGBoost), were employed to estimate speeding behavior. The results indicate that factors within the driver's visual environment, weather conditions, and driver heterogeneity significantly impact speeding. Speeding behavior also varies across geographic locations, even within the same city, suggesting a connection between local context and speeding. The study highlights the importance of the driver's environment, showing that more open spaces encourage speeding, while areas with trees and buildings are associated with reduced speeding. Notably, this research differs from previous studies by utilizing real-time data from dash cameras, providing a dynamic and accurate representation of the driver's visual surroundings. This approach enhances the reliability of the findings and empowers transportation engineers and planners to make informed decisions when designing roadways and implementing interventions to address effectively excessive speeding. In addition to examining speeding behavior, the study also analyzes time-headway, a key factor affecting safety and risky driver behavior, to explore its relationship with speeding. The findings offer valuable insights into the factors influencing speeding and the driver's visual environment. These insights can inform efforts to create environments that discourage speeding (and close car following) and ultimately reduce severe accidents caused by excessive speed (and tailgating).
Cingulate microstimulation induces negative decision-making via reduced top-down influence on primate fronto-cingulo-striatal network
Authors: Amemori Ken-ichi , Amemori Satoko , Graybiel Ann 
Published: July 2023

Abstract

The dorsolateral prefrontal cortex (dlPFC) is crucial for regulation of emotion that is known to aid prevention of depression. The broader fronto-cingulo-striatal (FCS) network, including cognitive dlPFC and limbic cingulo-striatal regions, has been associated with a negative evaluation bias often seen in depression. The mechanism by which dlPFC regulates the limbic system remains largely unclear. Here we have successfully induced a negative bias in decision-making in primates performing a conflict decision-making task, by directly microstimulating the subgenual cingulate cortex while simultaneously recording FCS local field potentials (LFPs). The artificially induced negative bias in decision-making was associated with a significant decrease in functional connectivity from cognitive to limbic FCS regions, represented by a reduction in Granger causality in beta-range LFPs from the dlPFC to the other regions. The loss of top-down directional influence from cognitive to limbic regions, we suggest, could underlie negative biases in decision-making as observed in depressive states.
Assessing the unexpectedness of a very large observed rainfall in the Metropolitan Region of Belo Horizonte, Brazil.
Authors: Costa Veber , Sampaio Júlio , Fernandes Wilson , Neiva Gabriel 
Published: July 2023

Abstract
Exceptionally large realizations of hydrometeorological variables summarize our knowledge on the underlying processes under extreme conditions. However, the formal probabilistic modeling of recordbreaking precipitation and flooding events has received limited attention from researchers and practitioners, particularly with respect to estimation of the future behavior of the variable of interest once a large magnitude event is observed. This paper discusses the use of the two-parameter Rayleigh distribution for describing the dynamics of record-breaking precipitation events, as well as predicting the distributions of future realizations of the process, on the basis of the theory of records. The main motivation for this study was an unprecedented precipitation event which accumulated 186 mm in 3 hours – almost twice the previous record – and caused severe damage in the city of Belo Horizonte, in the Brazilian state of Minas Gerais. Our results suggested that, before observing this large magnitude event, the evolution of recordbreaking precipitation amounts is properly captured by the model. However, this exceptional event was severely underestimated during prediction – the model estimate was more than 80 mm smaller than the observed rainfall amount. On the other hand, the inclusion of this event in inference entailed a lack of fit of the model and strongly disrupted the dynamics of previous record events, which further highlighted the difficulties of dealing with such unexpected large observations of hydrometeorological variables even under theoretically sound mathematical frameworks.
Development of a disulfidptosis-related lncRNA signature to prognosticate lung adenocarcinoma
Authors: Yu Biao , Wang Yong , Ye Xin , Qian Xiaoying , Fang Chen , Yuan Shangkun , Wang Tong , Huang Cheng , Yao Xinyuan , Zhou Bingbiao , Li Yong 
Published: July 2023

Abstract
Background
Identification of disulfidptosis as an innovative mechanism of cell demise activated by disulfide stress offers a promising approach to treating cancer. Recent studies suggest that long non-coding RNAs (lncRNAs) play a pivotal role in regulating programmed cell death as well as the development of lung adenocarcinoma (LUAD). However, it remains unclear whether disulfidptosis-related lncRNAs (DRLs) play a role in LUAD prognosis.
Methods
Transcriptome and clinical data of 507 LUAD patients were extracted from The Cancer Genome Atlas (TCGA). Prognostic DRLs were identified using Pearson correlations and Cox regression. A prognostic signature was established using LASSO and stepwise regression, and a web-based nomogram was created for dynamic survival prediction. The correlation between immune landscape and DRLs score was assessed, and drug sensitivity was analyzed using the pRRophetic algorithm. Functional assays were performed to investigate the role of LINC02323, a DRL, in LUAD cells.
Results
The 4 DRLs-signature showed excellent performance in predicting LUAD patients’ survival (AUC1year = 0.742, AUC3years = 0.708, AUC5years = 0.762). Elevated DRLs score was associated with reduced immune score and increased tumor mutation burden. Patients with high riskscore showed higher sensitivity to 5-Fluorouracil, cytarabine, dasatinib, erlotinib, and savolitinib, while those with low riskscore may benefit more from axitinib treatment. Furthermore, LINC02323 exhibited malignant behavior in LUAD cells.
Conclusions
Our DRLs signature has a promising predictive capability for LUAD progression, offering new insights into individualized treatment.