bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bifidobacterium longum subsp. infantis YLGB‐1496—Toxicological evaluation
Authors: Zhao Jian , Guo Yueyi , Jiang Qiuyue , Lan Hanglian , Hung Wei‐Lian , Lynch Barry 
Published: September 2024

AbstractBifidobacterium infantis YLGB‐1496, originally isolated from breast milk from a Taiwanese mother, is under study for use as a probiotic. As part of safety assessment, an Ames, in vivo mouse micronucleus, and in vivo mouse spermatocyte chromosome aberration assay were conducted along with a 13‐week oral rat toxicity study. B. infantis YLGB‐1496 had no activity in any of the genotoxicity assays. Administration of the bacteria to Sprague–Dawley rats at doses ranging from 0 to 1.5 g/kg bw/day had no treatment‐related effects on any of the endpoints measured. There appear to be no concerns for translocation or pathogenicity of B. infantis YLGB‐1496 based on extensive experience with the species in general. The results of the current investigations support potential use of B. infantis YLGB‐1496 as a probiotic in infant formula.
Pyrolytic conversion of glucose into hydroxymethylfurfural and furfural: Benchmark quantum‐chemical calculations
Authors: López Roberto , Suárez Dimas 
Published: September 2024

AbstractQuantum chemical methods have been intensively applied to study the pyrolytic conversion of glucose into hydroxymethylfurfural (HMF) and furfural (FF). Herein, we collect the most relevant mechanistic proposals from the recent literature and organize them into a single reaction network. All the transition structures (TSs) and intermediates are characterized using highly accurate ab initio methods and the possible reaction pathways are assessed in terms of the Gibbs energies of the TSs and intermediates with respect to β‐glucopyranose, selecting a 2D ideal‐gas standard state at 773 K to represent the pyrolysis conditions. Several pathways can lead to the formation of both HMF and FF passing through rate‐determining TSs that have ΔG‡ values of ~49–50 kcal/mol. Both water‐assisted mechanisms and nonspecific environmental effects have a minor impact on the Gibbs energy profiles. We find that the HMF → FF + CH2O fragmentation has a small ΔrxnG value and an accessible ΔG‡ barrier. Our computational results, which are in consonance with the kinetic parameters derived from lumped models, the results of isotopic labeling experiments and the reported HMF/FF molecular ratios, could be useful for modeling studies including on nonequilibrium kinetic effects that may render more information about product yields and the relevance of the various pathways.
Willingness to wait outperforms delay discounting in predicting drinking severity
Authors: Miller Pazia , Kable Joseph W. , Lempert Karolina M. 
Published: September 2024

AbstractAlcohol misuse ranks among the leading causes of preventable death worldwide. Therefore, discovering measures that can predict hazardous drinking is critical. The delay discounting paradigm—which assesses relative preference for immediate rewards over larger, later rewards—has frequently been used as a proxy for impulsive choice, but it does not capture how long someone is willing to wait for delayed rewards when the arrival time is uncertain. In contrast, a newer willingness‐to‐wait task measures how long someone is willing to wait for a delayed reward of uncertain timing before giving up. We hypothesized that performance in this willingness‐to‐wait task would be associated with drinking severity and that this task may even outperform delay discounting as a predictor of drinking severity. We pooled data from multiple studies of mostly college‐aged adult participants. Drinking severity was assessed with the Alcohol Use Disorders Identification Test. Willingness to wait under temporal uncertainty, but not delay discounting, was associated with severity of alcohol problems among participants who drank (n = 212). Individuals engaging in hazardous drinking were less willing to wait for rewards when delays were unknown than were individuals with low‐risk drinking habits. Thus, willingness to wait under temporal uncertainty may be an important predictor of problematic drinking.
Luxury value perceptions and consumer outcomes: A meta‐analysis
Authors: Akarsu Tugra , Shaikh Shayan , Maity Moutusi 
Published: September 2024

AbstractLuxury value perception is a well‐researched, yet fragmented domain. Extant research reports several dimensions of luxury value perception, where different investigations identify varying dimensions and their impact on several consumer‐related outcomes. However, such findings are inconsistent across studies, which are carried out across various contexts using disparate samples. In this research, we use the Theory of Consumption Value and Economic Theory to provide a comprehensive understanding of the dimensions, outcomes, and moderators of luxury value perception. This investigation synthesizes extant literature through a meta‐analysis to explain the inconsistent findings and offer new insights. The meta‐analysis integrates findings from 64 papers that report 74 separate studies with 32,587 participants/consumers. The impact of the dimensions of luxury value perception (functional, social, emotional, conditional, epistemic, and economic) on consumer outcomes (affective, cognitive, and behavior), and the moderating effects of several moderators (industry type, culture, gender, and publication year) are conceptualized and examined through meta‐analytic techniques. Some relationships are under‐researched in literature and cannot be tested, which provides scope for future investigations. This research is valuable for theory as we offer novel insights and identify boundary conditions that advance theoretical understanding of the domain. Managers will benefit from this holistic understanding as they may apply the insights obtained to formulate nuanced marketing and branding strategies.
Monoubiquitinated H2B, a Main Chromatin Target of Formaldehyde, Is Important for S‐Phase Checkpoint Signaling and Genome Stability
Authors: Mishra Sasmita , Krawic Casey , Luczak Michal W. , Zhitkovich Anatoly 
Published: September 2024

ABSTRACTFormaldehyde (FA) is a human carcinogen with ubiquitous environmental exposures and significant endogenous formation. Genotoxic activity of FA stems from its reactivity with DNA‐NH2 groups. Histone lysines are another source of aldehyde‐reactive amino groups in chromatin, however, chromatin/histone damage responses to FA and their biological significance are poorly understood. We examined histone posttranslational modifications in FA‐treated human lung cells and found that the majority of the most prominent small lysine modifications associated with active or inactive chromatin were unchanged. FA moderately decreased H3K9 and H3K27 acetylation and H2A‐K119 monoubiquitination but caused surprisingly severe losses of H2B‐K120 monoubiquitination, especially in primary and stem‐like cells. H2Aub1 decreases reflected its slower ubiquitination linked to a lower ubiquitin availability due to K48‐polyubiquitination of FA‐damaged proteins. Depletion of H2Bub1 resulted from its rapid deubiquitination in part by ATXN7L3‐associated deubiquitinases and was independent on DNA damage signaling, indicating a direct chromatin damage response. Manipulations of H2Bub1 abundance showed that it was important for robust ATM and ATR signaling, efficient S‐phase checkpoint, and suppression of mitotic transmission of unreplicated DNA and formation of micronuclei. Our findings identified H2B deubiquitination as a major FA‐induced chromatin damage response that regulates S‐phase checkpoint signaling and genome stability.
Comparative chemometric modeling of fresh and dry cannabis inflorescences using FT‐NIR spectroscopy: Quantification and classification insights
Authors: Birenboim Matan , Brikenstein Nimrod , Kenigsbuch David , Shimshoni Jakob A. 
Published: September 2024

AbstractIntroductionCannabis sativa L. inflorescences are rich in cannabinoids and terpenes. Traditional chemical analysis methods for cannabinoids and terpenes, such as liquid and gas chromatography (using UV or MS detectors), are expensive and time‐consuming.ObjectivesThis study explores the use of Fourier transform near‐infrared (FT‐NIR) spectroscopy combined with chemometric approaches for classifying cannabis chemovars and predicting cannabinoid and terpene concentrations for the first time in freshly harvested (wet) cannabis inflorescence. The study also compares the performance of FT‐NIR spectroscopy on wet versus dry cannabis inflorescences.Materials and methodsSpectral data from 187 samples across seven cannabis chemovars were analyzed using partial least squares‐discriminant analysis (PLS‐DA) and partial least squares‐regression (PLS‐R) models.ResultsThe PLS‐DA models effectively classified chemovars and major classes using only two latent variables (LVs) with minimal overfitting risk, with sensitivity, specificity, and accuracy values approaching 1. Despite the high water content in wet cannabis inflorescence, the PLS‐R models demonstrated good to excellent predictive capabilities for nine cannabinoids and eight terpenes using FT‐NIR spectra for the first time, achieving cross‐validation and prediction R‐squared values greater than 0.7, ratio of performance to interquartile range (RPIQ) exceeding 2, and a RMSECV/RMSEC ratio below 1.24. However, the low‐cannabidiolic acid submodel and (−)‐Δ9‐trans‐tetrahydrocannabinol model showed poor predictive performance. Some cannabinoid and terpene prediction models in wet cannabis inflorescence exhibited lower predictive capabilities compared with previously published models for dry cannabis inflorescence.ConclusionsThese findings suggest that FT‐NIR spectroscopy can be a viable rapid on‐site analytical tool for growers during the inflorescence flowering stage.
Pandemic‐related stressors of school counselors: Implications for resilience and retention
Authors: Vera Elizabeth M. , Heineke Amy J. 
Published: September 2024

AbstractThis qualitative study examined 17 school counselors’ pandemic‐related experiences to identify demands, resources, and consequences to well‐being. Among the main demands were increases in student social‐emotional impairment, role confusion, and top‐down policy modifications that made it more challenging to do their jobs. The top resources were support from colleagues and individual limit‐setting. Consequences to well‐being were mixed, but exhaustion and recommitments to self‐care were the most frequently reported. Implications for retention of school counselors and training are discussed.
Multireflecting gas chromatography‐multireflecting time‐of‐flight mass spectrometer with high dynamic range
Authors: Vorobyev Aleksey V. , Khasin Yury I. , Makarov Vasily V. , Kirillov Sergey N. , Verenchikov Anatoly N. 
Published: September 2024

Gas chromatography–mass spectrometry (GC–MS) is a cornerstone technique for analyses of volatile and semivolatile compounds, constantly evolving to meet new challenges. The adoption of time‐of‐flight mass spectrometers (TOFMS) has enhanced GC–MS with faster spectral acquisition and broader mass coverage, enabling rapid GC separations. Multireflecting TOFMS (MRT) further improves resolution compared to traditional single‐reflecting TOFMS, facilitating the detection of minor analytes within complex matrices. This paper presents a significant improvement in MRT sensitivity and dynamic range achieved through an ion beam compression within the ion guide and the use of a conventionally oriented orthogonal accelerator. Sensitivity is improved to 100 000 ion/pg at a resolution of R = 25,000, enabling the detection of low fg analyte quantities within 3 μg of matrix material into MS. The demonstrated linear dynamic range exceeding 6 orders of magnitude potentially enables even deeper exploration of complex mixtures with a bench top instrument.
Simulation‐Based Assessment of Fine Sediment Transport to Support River Restoration Measures
Authors: Pomázi Flóra , Baranya Sándor 
Published: September 2024

ABSTRACTA three‐dimensional coupled hydrodynamic and sediment transport model was employed to simulate the suspended sediment transport at a section of the Danube River, in Hungary. The case study is characterised by a highly complex hydromorphological system due to the nearby tributary inflow, the high number of river regulation structures as well as the several side‐arms connected to the Danube mainstem. The numerical model is set up, parameterised and validated against thorough field data of flow velocities and sediment concentrations measured at different hydrological regimes. Through the selected case study, the paper introduces (i) why 3D description is necessary at a reach‐scale analysis of complex hydromorphological systems; (ii) what sort of field data is needed to parameterise and validate a hydrodynamic and sediment transport model considering the spatial inhomogeneity of the flow and sediment features and (iii) an example for a quantitative impact assessment of side‐arm revitalisation measures on the sedimentation processes, playing a crucial role in the quality of riverine habitats.
Scenario Planning Management Actions to Restore Cold Water Stream Habitat: Comparing Mechanistic and Statistical Modeling Approaches
Authors: Fuller M. R. , Detenbeck N. E. , Leinenbach P. , Labiosa R. , Isaak D. 
Published: September 2024

ABSTRACTUnder the United States Clean Water Act, states are required to periodically assess state waters to determine compliance with water quality criteria (including temperature) and then to develop total maximum daily loads (TMDLs) for impaired waters as necessary to bring them into compliance. We compared the performance of mechanistic stream temperature models (HeatSource, QUAL2K, and QUAL2Kw) applied to the mainstem of three TMDL watersheds (Middle Fork John Day, OR; Wind River, WA; South Fork Nooksack, WA) with that of spatial stream network (SSN) models applied to the full watersheds and used these to evaluate the potential effectiveness of restoration strategies. SSN models performed well with slightly lesser accuracy (RMSE = 0.47–0.87) for mainstem predictions than mechanistic models (RMSE = 0.4) but provided additional benefits to inform management, including information on spatial and temporal heterogeneity of restoration effectiveness throughout the watershed. Of the four scenarios considered (restoration of riparian zones to potential natural vegetation, channel narrowing, increasing flow by restricting irrigation withdrawals, and combined applications), riparian zone restoration was consistently the most effective in reducing temperatures at the outlet, mainstem, and throughout the watersheds. Predicted restoration effectiveness for thermal regimes varied significantly both within and among watersheds. A focus on water quality criteria exceedance only at the watershed outlet or along the mainstem reach can obscure knowledge of restoration potential for fish habitat in tributaries and headwaters, potential for creation of thermal refuge areas along the mainstem critical for maintaining migration corridors, and thermal regime heterogeneity across space and time.
Social‐ecological systems modeling for drought‐food security nexus
Authors: Roy Debashis , Gillespie Steven A. , Hossain Md Sarwar 
Published: September 2024

AbstractDroughts pose severe threats to social systems, particularly to food security which is one of the priority targets in the UN's sustainable development goals (SDG 2). The drought‐food insecurity nexus entails the complex social‐ecological systems (SES) relationships (e.g., feedback) that underpin food insecurity, leading to disastrous consequence to society. To advance the knowledge on capturing the SES relationships of the drought‐food insecurity nexus, an SES model was employed (first attempt) to simulate these relationships to inform policies on food security in the context of climate change in Bangladesh. Different “what if” scenarios were examined determining the possible future trajectories of the system under socio‐economic and climate scenarios. Findings revealed that (i) with business‐as‐usual scenario, crop production and food security continue to increase at the expense of declining water resources over the simulation period; (ii) temperature changes (3.5–5.7°C) and surface water reduction due to dam and sustained groundwater decline may reduce food security (~55%); (iii) tipping risk increases due to severe reduction of food security when increasing temperature (>3.5°C) is combined with upstream water withdrawal (30%–50%), subsidy reduction (50%–100%), population growth and political instability. These indicate the need for an SES system perspective for increasing crop production and food security, simultaneously ensuring sustainable water resources and climate change adaptation. The model and findings are useful to achieve food security, and other related SDGs (1&6) in the context of climate change in Bangladesh and similar areas (e.g., Kenya), informed by the consequences of plausible alternative futures.
“To prosper you must be willing to pivot”: The career construction journeys of language teacher educators in Hong Kong
Authors: Trent John 
Published: September 2024

AbstractConsidering the essential role of language teacher educators in shaping the views and practices of future generations of language teachers, the limited attention that has been given to how these educators construct their professional identities is surprising. This article reports the results of a qualitative study that contributes to addressing this gap in knowledge by exploring how three experienced language teacher educators construct their professional identities in Hong Kong. Drawing upon elements of career construction theory, the study used in‐depth interviews to investigate the responses of these educators to the complex and challenging demands they encounter in research, teaching, and institutional service throughout the pursuit of their professional identities construction goals. Results suggest that the three educators value career adaption and operationalize adaptability as the willingness to both constrain their concerns and accept the necessity for compromises and trade‐offs. Implications for leaders of higher education institutions concerned with supporting language teacher educators' identities construction are discussed. Suggestions for future research are also considered.
An equitable approach to leveraging multilingual paraprofessional learning
Authors: Pontier Ryan W. , del Pilar Delgado María , Medina Teresa J. , Peña Susanne , Chang Mido 
Published: September 2024

AbstractThis conceptual article focuses on how a National Professional Development grant through the Office of English Language Acquisition in the U.S. Department of Education supported multilingual paraprofessionals' equitable access to and participation in high‐quality, ongoing professional development aimed at supporting young multilingual learners, and how they leveraged both prior and newfound knowledge and experiences during their participation. We understood that paraprofessionals had been positioned as less white, less English‐speaking, and less knowledgeable than their teacher counterparts and knew that their engagement needed to be utilized as a resource. Thus, we broadly draw on the concept of equity but specifically on the notions of funds of knowledge, translanguaging, and raciolinguistics as we document our process of working with Pre‐K–second grade paraprofessionals.
Exploring genomic feature selection: A comparative analysis of GWAS and machine learning algorithms in a large‐scale soybean dataset
Authors: Al‐Mamun Hawlader A. , Danilevicz Monica F. , Marsh Jacob I. , Gondro Cedric , Edwards David 
Published: September 2024

AbstractThe surge in high‐throughput technologies has empowered the acquisition of vast genomic datasets, prompting the search for genetic markers and biomarkers relevant to complex traits. However, grappling with the inherent complexities of high dimensionality and sparsity within these datasets poses formidable hurdles. The immense number of features and their potential redundancy demand efficient strategies for extracting pertinent information and identifying significant markers. Feature selection is important in large genomic data as it helps in enhancing interpretability and computational efficiency. This study focuses on addressing these challenges through a comprehensive investigation into genomic feature selection methodologies, employing a rich soybean (Glycine max L. Merr.) dataset comprising 966 lines with over 5.5 million single nucleotide polymorphisms. Emphasizing the “small n large p” dilemma prevalent in contemporary genomic studies, we compared the efficacy of traditional genome‐wide association studies (GWAS) with two prominent machine learning tools, random forest and extreme gradient boosting, in pinpointing predictive features. Utilizing the expansive soybean dataset, we assessed the performance of these methodologies in selecting features that optimize predictive modeling for various phenotypes. By constructing predictive models based on the selected features, we ascertain the comparative prediction accuracies, thereby illuminating the strengths and limitations of these feature selection methodologies in the realm of genomic data analysis.
Stress and power as a response to harmonic excitation of a fractional anti‐Zener and Zener type viscoelastic body
Authors: Jelić Slađan , Zorica Dušan 
Published: September 2024

AbstractThe stress as a response to strain prescribed as a harmonic excitation is examined in both transient and steady state regime for the viscoelastic body modeled by thermodynamically consistent fractional anti‐Zener and Zener models by the use of the Laplace transform method. Assuming strain as a sine function, the time evolution of power per unit volume, previously derived as a sum of time derivative of a conserved term, which represents the rate of change of stored energy, and a dissipative term, which represents dissipated power, is investigated when expressed through the relaxation modulus and creep compliance. Further, two forms of energy and two forms of dissipated power per unit volume are examined in order to see whether they coincide.
Combining Classical and Probabilistic Independence Reasoning to Verify the Security of Oblivious Algorithms
Authors: Yan Pengbo , Murray Toby , Ohrimenko Olga , Pham Van-Thuan , Sison Robert 
Published: September 2024

AbstractWe consider the problem of how to verify the security of probabilistic oblivious algorithms formally and systematically. Unfortunately, prior program logics fail to support a number of complexities that feature in the semantics and invariants needed to verify the security of many practical probabilistic oblivious algorithms. We propose an approach based on reasoning over perfectly oblivious approximations, using a program logic that combines both classical Hoare logic reasoning and probabilistic independence reasoning to support all the needed features. We formalise and prove our new logic sound in Isabelle/HOL and apply our approach to formally verify the security of several challenging case studies beyond the reach of prior methods for proving obliviousness.