bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping Plant Bioaccumulation Potentials of Pesticides from Soil Using Satellite-Based Canopy Transpiration Rates
Authors: Li Zijian , Ai Zhipin 
Published: November 2022

Abstract
The transpiration rate is an important factor that determines the bioaccumulation potential of pesticides from soil and can present a spatiotemporal pattern. In the present study, we proposed a satellite-based approach to map the bioaccumulation potential of pesticides from soil using the Global Land Evaporation Amsterdam Model (GLEAM). In the proposed model, the spatiotemporal variable (i.e., plant transpiration rate) was separately analyzed from the plant- and chemical-specific variables. The simulated bioaccumulation factors (BAFs; steady-state concentration ratios between plants and soil) of atrazine and lindane for the United States indicated that the proposed model can better predict the spatiotemporal pattern of bioaccumulation potentials of pesticides from soil than a previous weather-based model. The proposed approach using GLEAM's satellite data avoids the overestimation of plant transpiration rate in regions with a dry and warm climate. The comparison of BAFs between the proposed and weather-based models indicated that the satellite-based simulation was consistent with the weather-based simulation for most states and was more effective for the southwest region. Furthermore, plant- and chemical-specific variables were simulated for over 700 pesticides, which could be multiplied by satellite-based canopy transpiration rates to map the bioaccumulation potentials of chemicals from soil. Further evaluation of plant-specific variables, partitioning behaviors of ionizable compounds, and multiple uptake routes (e.g., airborne residue deposition) will aid in the evaluation of the spatiotemporal patterns of pesticide BAFs in plants in future research. Environ Toxicol Chem 2023;42:117–129. © 2022 SETAC
Arsenic and Mercury Distribution in an Aquatic Food Chain: Importance of Femtoplankton and Picoplankton Filtration Fractions
Authors: Alowaifeer Abdullah M. , Clingenpeel Scott , Kan Jinjun , Bigelow Patricia E. , Yoshinaga Masafumi , Bothner Brian , McDermott Timothy R. 
Published: November 2022

Abstract
Arsenic (As) and mercury (Hg) were examined in the Yellowstone Lake food chain, focusing on two lake locations separated by approximately 20 km and differing in lake floor hydrothermal vent activity. Sampling spanned from femtoplankton to the main fish species, Yellowstone cutthroat trout and the apex predator lake trout. Mercury bioaccumulated in muscle and liver of both trout species, biomagnifying with age, whereas As decreased in older fish, which indicates differential exposure routes for these metal(loid)s. Mercury and As concentrations were higher in all food chain filter fractions (0.1-, 0.8-, and 3.0-μm filters) at the vent-associated Inflated Plain site, illustrating the impact of localized hydrothermal inputs. Femtoplankton and picoplankton size biomass (0.1- and 0.8-μm filters) accounted for 30%–70% of total Hg or As at both locations. By contrast, only approximately 4% of As and &lt;1% of Hg were found in the 0.1-μm filtrate, indicating that comparatively little As or Hg actually exists as an ionic form or intercalated with humic compounds, a frequent assumption in freshwaters and marine waters. Ribosomal RNA (18S) gene sequencing of DNA derived from the 0.1-, 0.8-, and 3.0-μm filters showed significant eukaryote biomass in these fractions, providing a novel view of the femtoplankton and picoplankton size biomass, which assists in explaining why these fractions may contain such significant Hg and As. These results infer that femtoplankton and picoplankton metal(loid) loads represent aquatic food chain entry points that need to be accounted for and that are important for better understanding Hg and As biochemistry in aquatic systems. Environ Toxicol Chem 2023;42:225–241. © 2022 SETAC
Development of a New Polar Organic Chemical Integrative Sampler for 1,4-dioxane Using Silicone Membrane as a Diffusion Barrier
Authors: Noro Kazushi , Endo Satoshi , Inoue Daisuke , Suzuki Natsumi , Kameoka Hiroshi , Ono Junko , Nakamura Satoshi , Yabuki Yoshinori 
Published: November 2022

Abstract
Efficient monitoring methods must be developed for 1,4-dioxane, which is suspected to be carcinogenic to humans and is highly mobile in aquatic environments. In this regard, polar organic chemical integrative samplers (POCIS) have been utilized extensively as passive samplers for determining time-weighted average concentrations of hydrophilic organic compounds. However, POCIS are difficult to apply to extremely hydrophilic known organic compounds with negative log octanol–water partition coefficient (Kow) values due to their limited kinetic sampling time. Using an activated carbon-based sorbent with a high adsorption capacity and a bilayer of silicone and polyethersulfone membranes that inhibit mass transfer to the sorbent, we developed a POCIS device to measure 1,4-dioxane (log Kow −0.27) in the present study. Permeation and field calibration tests demonstrated that the use of silicone membranes effectively reduces the water-to-sorbent mass transfer rate. The sampling rate and kinetic sampling period determined by field calibration tests were 1.4 ml day−1 and &gt;14 days, respectively. Finally, the developed POCIS device was applied to a landfill treatment plant to determine the 1,4-dioxane concentrations. Environ Toxicol Chem 2023;42:296–302. © 2022 SETAC
Physical–Chemical Recovery of a Montane Stream After Remediation of Acid Mine Drainage: Timing and Extent After Turning off the Tap
Authors: Meyer Joseph S. , Lloyd Evan H. , Bevers Shaun , Ranville James F. 
Published: November 2022

Abstract
We monitored physical–chemical conditions in the North Fork of Clear Creek in Colorado (USA) before, during, and after the start of remediation (lime treatment) to remove metals from two major inputs of acid mine drainage (AMD) water. In addition, we analyzed historical monitoring data that extended back more than two decades. Concentration–discharge (C–D) and load–discharge (L–D) plots accounted for discharge dependence in concentrations and loads of metals, major ions, and other water chemistry parameters. Total and dissolved concentrations, and loads of the metals decreased after remediation began, with the largest decreases usually during low stream flow. However, postremediation concentrations and loads remained slightly to considerably higher than reference, probably because of unidentified groundwater seeps and/or small surface flows. Dissolved Cu concentrations decreased much less than total Cu concentrations, because the percentage of total Cu in the dissolved phase increased considerably as particulate Fe (PFe) concentration decreased. We conclude that 1) water chemistry can change to a new steady state or pseudo-steady state relatively quickly after major AMD inputs to a stream are remediated; 2) elevated flows during snowmelt and rainfall periods can mobilize additional amounts of major ions and metals, resulting in in-stream concentrations that are manifestations of both dilution and mobilization; 3) although lime treatment of AMD-related waters can decrease metal concentrations, it does not decrease elevated concentrations of major ions that might impair sensitive stream invertebrates; 4) although Fe is toxic to aquatic organisms, PFe adsorbs other metals and thereby provides protection against their toxicity; and 5) use of C–D and L–D plots and element ratios can indicate the presence of unidentified AMD inputs to a stream. Environ Toxicol Chem 2023;42:495–511. © 2022 SETAC
Alleviative mechanism and effect of Bifidobacterium animalisA6 on dextran sodium sulfate‐induced ulcerative colitis in mice
Authors: Wu Fang , Wuri Guna , Fang Bing , Shi Mengxuan , Zhang Ming , Zhao Liang 
Published: November 2022

AbstractProbiotics have been increasingly investigated for their role in alleviating symptoms of ulcerative colitis (UC), but the specific mechanism involved remains unclear. We investigated the alleviating effect of Bifidobacterium animalis A6 (BAA6) in UC through a mouse dextran sulfate sodium (DSS) model. When treated with a high dose of BAA6 (1 × 1010 cfu/ml), it was found that colitis symptoms were significantly alleviated, and mucosal damages experienced obvious relief. Moreover, a high dose of BAA6 effectively upregulated free fatty acid receptors 2 and 3 (FFAR2 and FFAR3) expression and butyric acid metabolism specifically. Furthermore, the supplement of BAA6 significantly suppressed pro‐inflammatory cytokines levels (interleukin‐13) and the expression of pore‐forming protein claudin‐2. The upstream regulatory genes of claudin‐2, such as STAT6, GATA4, Cdx2, were also significantly inhibited by BAA6. Collectively, this study concludes that BAA6 attenuated DSS‐induced colitis by increasing the levels of intestinal butyric acid, activating the butyric acid‐FFAR pathway, suppressing excessive proinflammatory response, and protecting the function of the colon epithelial barrier.
Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles
Authors: Spanbauer Charles , Pan Wei ,   ADNI, The Alzheimer's Disease Neuroimaging Initiative
Published: November 2022

AbstractUsing high‐dimensional genetic variants such as single nucleotide polymorphisms (SNP) to predict complex diseases and traits has important applications in basic research and other clinical settings. For example, predicting gene expression is a necessary first step to identify (putative) causal genes in transcriptome‐wide association studies. Due to weak signals, high‐dimensionality, and linkage disequilibrium (correlation) among SNPs, building such a prediction model is challenging. However, functional annotations at the SNP level (e.g., as epigenomic data across multiple cell‐ or tissue‐types) are available and could be used to inform predictor importance and aid in outcome prediction. Existing approaches to incorporate annotations have been based mainly on (generalized) linear models. Bayesian additive regression trees (BART), in contrast, is a reliable method to obtain high‐quality nonlinear out of sample predictions without overfitting. Unfortunately, the default prior from BART may be too inflexible to handle sparse situations where the number of predictors approaches or surpasses the number of observations. Motivated by our real data application, this article proposes an alternative prior based on the logit normal distribution because it provides a framework that is adaptive to sparsity and can model informative functional annotations. It also provides a framework to incorporate prior information about the between SNP correlations. Computational details for carrying out inference are presented along with the results from a simulation study and a genome‐wide prediction analysis of the Alzheimer's Disease Neuroimaging Initiative data.
Radiomics‐based machine learning for the diagnosis of lymph node metastases in patients with head and neck cancer: Systematic review
Authors: Giannitto Caterina , Mercante Giuseppe , Ammirabile Angela , Cerri Luca , De Giorgi Teresa , Lofino Ludovica , Vatteroni Giulia , Casiraghi Elena , Marra Silvia , Esposito Andrea Alessandro , De Virgilio Armando , Costantino Andrea , Ferreli Fabio , Savevski Victor , Spriano Giuseppe , Balzarini Luca 
Published: November 2022

AbstractMachine learning (ML) is increasingly used to detect lymph node (LN) metastases in head and neck (H&N) carcinoma. We systematically reviewed the literature on radiomic‐based ML for the detection of pathological LNs in H&N cancer. A systematic review was conducted in PubMed, EMBASE, and the Cochrane Library. Baseline study characteristics and methodological quality items (modeling, performance evaluation, clinical utility, and transparency items) were extracted and evaluated. The qualitative synthesis is presented using descriptive statistics. Seven studies were included in this study. Overall, the methodological quality items were generally favorable for modeling (57% of studies). The studies were mostly unsuccessful in terms of transparency (85.7%), evaluation of clinical utility (71.3%), and assessment of generalizability employing independent or external validation (72.5%). ML may be able to predict LN metastases in H&N cancer. Further studies are warranted to improve the generalizability assessment, clinical utility evaluation, and transparency items.
International journal of finance and economics: A bibliometric overview
Authors: Baker H. Kent , Kumar Satish , Goyal Kirti , Gupta Prashant 
Published: November 2022

AbstractThe International Journal of Finance & Economics (IJFE) contributed substantially to its research domain between 1996 and 2021. We conduct a comprehensive bibliometric study to examine IJFE's evolution. We use various science mapping approaches to study its performance, intellectual structure, and determinants of academic influence. IJFE's contributions and impact have grown markedly. Authors affiliated with the United Kingdom and the United States are its most frequent contributors. Authors linked with the International Monetary Fund and the City, University of London top the journal's list of contributors. The keyword ‘exchange rate/real exchange rate’ is the most frequently used in IJFE articles, followed by ‘economic growth.’ IJFE's knowledge structure consists of eight themes: (1) exchange rate mechanism, currency crisis, and capital flows, (2) stock market volatility, (3) effects of credit rating on international financial markets, (4) exchange rate volatility and market efficiency, (5) banking sector efficiency, (6) linkage between financial development and economic growth, (7) technical analysis in the foreign exchange market and R&D investment, and (8) stock markets and environmental sustainability. Using regression analysis, we find five factors positively associated with IJFE citations: lead article in an issue, number of authors, article age, number of tables, and number of references.
Involvement of sialoglycans in SARS‐COV‐2 infection: Opportunities and challenges for glyco‐based inhibitors
Authors: Kuhaudomlarp Sakonwan , Imberty Anne 
Published: November 2022

AbstractViral infections have been the causes of global pandemics, including the ongoing coronavirus disease 2019, which prompted the investigation into the infection mechanisms to find treatment and aid the vaccine design. Betacoronaviruses use spike glycoprotein on their surface to bind to host receptors, aiding their host attachment and cell fusion. Protein‐glycan interaction has been implicated in the viral entry mechanism of many viruses and has recently been shown in SARS‐CoV‐2. Here, we reviewed the current knowledge on protein‐glycan interactions that facilitate SARS‐CoV‐2 host entry, with special interest in sialoglycans present on both the virions and host cell surfaces. We also analyze how such information provides opportunities and challenges in glyco‐based inhibitors.
Topology‐based fluorescence image analysis for automated cell identification and segmentation
Authors: Panconi Luca , Makarova Maria , Lambert Eleanor R. , May Robin C. , Owen Dylan M. 
Published: November 2022

AbstractCell segmentation refers to the body of techniques used to identify cells in images and extract biologically relevant information from them; however, manual segmentation is laborious and subjective. We present Topological Boundary Line Estimation using Recurrence Of Neighbouring Emissions (TOBLERONE), a topological image analysis tool which identifies persistent homological image features as opposed to the geometric analysis commonly employed. We demonstrate that topological data analysis can provide accurate segmentation of arbitrarily‐shaped cells, offering a means for automatic and objective data extraction. One cellular feature of particular interest in biology is the plasma membrane, which has been shown to present varying degrees of lipid packing, or membrane order, depending on the function and morphology of the cell type. With the use of environmentally‐sensitive dyes, images derived from confocal microscopy can be used to quantify the degree of membrane order. We demonstrate that TOBLERONE is capable of automating this task.
HAGLROS knockdown restrained cell proliferation, migration and invasion and facilitated apoptosis in laryngeal cancer via miR‐138‐5p/CLN5 axis
Authors: Fu Dehui , Huang Yongwang , Wang Shanshan , Liu Jing , Li Chao 
Published: November 2022

AbstractBackgroundThis work investigated the role of HAGLROS in laryngeal cancer (LC).MethodsHAGLROS expression in the head and neck squamous cell carcinoma (HNSC), target miRNAs of HAGLROS, target mRNAs of miR‐138‐5p, and the binding sites of HAGLROS and miR‐138‐5p or CLN5 and miR‐138‐5p were predicted through bioinformatics. HAGLROS, miR‐138‐5p, CLN5, Bcl‐2, and Bax levels were detected by qRT–PCR and Western blot. The biological functions of LC cells were assessed through CCK‐8, colony formation assays, transwell assay, and flow cytometry assay. The targeting relationship between HAGLROS and miR‐138‐5p or CLN5 and miR‐138‐5p was confirmed by dual luciferase gene reporter analysis.ResultsHAGLROS was upregulated in LC. HAGLROS‐specific small interfering RNA (Si‐HAGLROS) inhibited the viability, proliferation, migration, and invasion while increased the apoptosis in LC cells. MiR‐138‐5p was a target of HAGLROS and the miR‐138‐5p inhibitor reversed the effects of si‐HAGLROS on LC cells. CLN5 was a target of miR‐138‐5p. MiR‐138‐5p inhibitor raised the viability, migration and invasion, and Bcl‐2 expression while declined Bax expression in LC cells, with si‐CLN5 performing the opposite effects and reversing the effects of miR‐138‐5p inhibitor.ConclusionSilenced HAGLROS restrained the LC cells' abilities to proliferate, migrate, and invade as well as facilitated apoptosis in LC via miR‐138‐5p/CLN5 axis.
“If you're in a community together, then you're basically a family”: Perceptions of community among a predominantly African‐American/Black youth cohort in a semi‐rural region in the Southeastern United States
Authors: Smith Cambray , Frerichs Leah , Hoover Stephanie , Robinson‐Ezekwe Nicole , Khanna Anisha , Wynn Mysha , Ellerby Brian , Joyner Linda , Lindau Stacy Tessler , Corbie Giselle 
Published: November 2022

AbstractGeographic racism gives rise to health inequities that impact communities in detrimental ways. Southern ethnic minority groups, particularly African American/Black semi‐rural communities, are subject to especially unjust outcomes in health, education, and wealth. Asset‐based community development (ABCD) is a way of engaging with communities in participatory and positive ways that center community voices as expert. Youth can participate in ABCD, are sensitive to the ways in which their communities are structured, and have insights as to how to improve the places they live. We undertook a qualitative interview study which included a cognitive mapping exercise with 28 youth to understand how African American/Black youth who had participated in an ABCD‐informed summer program conceptualized community and preferences about where they lived. Using a phenomenological approach to qualitative analysis, our study revealed that many youth defined community as a combination of people and place, enjoyed engaging with unique resources in their communities as well as seeking peace and quiet, experienced hardships as “something everybody knows” when observing constraints on their communities, and were committed to their communities and interested in seeing—and participating in—their flourishing. Our study provides a nuanced and contemporary understanding of the ways in which African American/Black semi‐rural youth experience community which can contribute to cyclical asset‐based development strategy aimed at empowering young people and improving health outcomes in resilient communities.
Dual‐frequency ultrasound enhances functional neuron differentiation from neural stem cells by modulating Ca2+dynamics and the ERK1/2 signaling pathway
Authors: Lee I‐Chi , Lin Yu‐Chieh , Liu Hao‐Li , Liu Nien‐Che 
Published: November 2022

AbstractOur previous study demonstrated that ultrasound is able to promote differentiation on neural stem cells (NSCs), and dual‐frequency ultrasound promotes this effect due to enhanced acoustic cavitation compared with single‐frequency ultrasound. However, the underlying biological reasons have not been well disclosed. The purpose of this study was to investigate the underlying bioeffects, mechanisms and signaling pathways of dual‐frequency ultrasound on NSC differentiation. The morphology, neurite outgrowth, and differentiation percentages were investigated under various dual‐frequency simulation parameters with exposure periods varying from 5 to 15 min. Morphological observations identified that dual‐frequency ultrasound stimulation promoted ultrasound dose‐dependent neurite outgrowth. In particular, cells exposed for 10 min/2 days showed optimal neurite outgrowth and neuron differentiation percentages. In addition, live cell calcium images showed that dual‐frequency ultrasound enhanced the internal calcium content of the cells, and calcium ions entering cells from the extracellular environment could be observed. Dual frequency ultrasound exposure enhanced extracellular calcium influx and upregulated extracellular signal‐regulated kinases 1/2 (ERK1/2) expression. Observations from immunostaining and protein expression examinations also identified that dual‐frequency ultrasound promoted brain‐derived neurotrophic factor (BDNF) secretion from astrocytes derived from NSCs. In summary, evidence supports that dual‐frequency ultrasound effectively enhances functional neuron differentiation via calcium channel regulation via the downstream ERK1/2 pathway and promotes BDNF secretion to serve as feedback to cascade neuron differentiation. The results may provide an alternative for cell‐based therapy in brain injury.
Stressors and mental health impacts of COVID‐19 in dental students: A scoping review
Authors: Ramachandran Swathi , Shayanfar Melody , Brondani Mario 
Published: November 2022

AbstractObjectiveThe COVID‐19 pandemic has led to mental health hazards to healthcare providers in general and to undergraduate dental students. The present study undertakes a scoping review to identify and discuss the mental health issues and stressors impacting dental students globally during the COVID‐19 pandemic.MethodsA systematic search following the Joanna Briggs Institute's framework for scoping reviews was conducted on Embase, MEDLINE by Ovid, Web of Science, PsycInfo, CINAHL, and ERIC to identify peer reviewed publications published globally since the onset of the COVID‐19 pandemic in March 2020 until June 22, 2021. Manual search was also performed on Google scholar. Eligible studies were selected based on the predetermined set of criteria and focused specifically on mental health issues experienced by undergraduate dental students in the context of COVID‐19.ResultsFifty‐five publications were retained. Fifty‐one reported stress, anxiety, or depression experienced by undergraduate dental students during the pandemic. Twenty‐five studies employed validated psychometric instruments to explore mental health status among the same students. A total of 28 publications reported that the predominant concern for students was fear of infection, especially during patient interaction. Adapting to virtual learning, clinical skill deficit due to lack of/limited practical training and social isolation were other majorly reported stressors.ConclusionsMany mental health issues and stressors related to the COVID‐19 pandemic have been identified. Mitigation of COVID‐19‐related stressors on dental students’ mental health should be a priority across all dental academic institutions. Continued efforts should be made to create a supportive learning environment.