bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variation of Tolerance to Isothiazolinones Among Daphnia pulex Clones
Authors: Wagner-Deyriès Margot , Varignier Léa , Revel Marion , Delhaye Thomas , Rondeau David , Coutellec Marie-Agnès , McCairns R. J. Scott 
Published: January 2023

Abstract
Isothiazolinones are a family of broad-spectrum biocides widely used in industry and consumer products. Chloro- and methyl-isothiazolinones (CMIT and MIT) are documented as strong irritants, yet they are still used in a wide variety of applications, including cosmetics, cleansers, hygienic products, and various industrial applications. The subsequent substantial release of these molecules from urban sources into freshwater environments, and their potential impacts on aquatic species, have nevertheless received little attention so far, with few studies reporting on the toxicity of either CMIT or MIT to nontarget organisms. The present study addresses this current knowledge gap by evaluating the acute toxicity to Daphnia pulex (Cladocera) of CMIT/MIT (3:1) and MIT, the two formulations most commonly used by manufacturers. In addition, genetic diversity is known to be a major component of variability in phenotypic responses, although it is largely overlooked in typical toxicity tests. Thus the potential range of responses inherent to genetic diversity is rarely considered. Therefore, to account for intraspecific variations in sensitivity, our design involved eight clonal lines of D. pulex stemming from distinct natural populations or commercial strains. Clones exhibited strong variation in their responses, with median lethal concentration (LC50) values ranging from 0.10 to 1.84 mg/L for the mixture CMIT/MIT, and from 0.68 to 2.84 mg/L for MIT alone. These intraspecific ranges of LC50 values challenge the use of single clones of daphnids in standard ecotoxicological tests and the predictions based on their results. The present study brings new evidence that assessing ecological risk of chemicals while ignoring genotype diversity is neither ecologically relevant, nor a representative evaluation of the diversity of potential adverse outcomes. Environ Toxicol Chem 2023;42:805–814. © 2023 SETAC
Exposure sources and pathways of micro- and nanoplastics in the environment, with emphasis on potential effects in humans: A systematic review
Authors: Yang Ting , Wang Jiao 
Published: January 2023

Abstract
Microplastics (MPs) are emerging pollutants that are ubiquitous in the environment, and may be a potential threat to human health. This review describes the MP exposure sources and pathways through drinking water, food intake, and air inhalation. The unregulated discharge of MPs in water sources and the absence of required MP filter technology in water treatment plants are important routes of MP exposure through drinking water. The presence of MPs in food may lead to the accumulation of MPs in the body. Exposure to MPs can occur through airborne fallout and dust inhalation in both indoor and outdoor environments. This review summarizes the MP exposure sources and possible pathways in the human body, and illustrates that the intake of drinking water, food consumption, and air inhalation should be assessed in during routine activities. Integr Environ Assess Manag 2023;19:1422–1432. © 2023 SETAC
Mapping the Response of Human Osteocytes in Native Matrix to Mechanical Loading Using RNA Sequencing
Authors: Zhang Chen , van Essen Huib W. , Sie Daoud , Micha Dimitra , Pals Gerard , Klein‐Nulend Jenneke , Bravenboer Nathalie 
Published: January 2023

ABSTRACTOsteocytes sense mechanical loads and transduce mechanical signals into a chemical response. They are the most abundant bone cells deeply embedded in mineralized bone matrix, which affects their regulatory activity in the mechanical adaptation of bone. The specific location in the calcified bone matrix hinders studies on osteocytes in the in vivo setting. Recently, we developed a three‐dimensional mechanical loading model of human osteocytes in their native matrix, allowing to study osteocyte mechanoresponsive target gene expression in vitro. Here we aimed to identify differentially expressed genes by mapping the response of human primary osteocytes in their native matrix to mechanical loading using RNA sequencing. Human fibular bone was retrieved from 10 donors (age: 32–82 years, 5 female, 5 male). Cortical bone explants (8.0 × 3.0 × 1.5 mm; length × width × height) were either not loaded or mechanically loaded by 2000 or 8000 μɛ for 5 minutes, followed by 0, 6, or 24 hours post‐culture without loading. High‐quality RNA was isolated, and differential gene expression analysis performed by R2 platform. Real‐time PCR was used to confirm differentially expressed genes. Twenty‐eight genes were differentially expressed between unloaded and loaded (2000 or 8000 μɛ) bone at 6 hours post‐culture, and 19 genes at 24 hours post‐culture. Eleven of these genes were related to bone metabolism, ie, EGR1, FAF1, H3F3B, PAN2, RNF213, SAMD4A, and TBC1D24 at 6 hours post‐culture, and EGFEM1P, HOXD4, SNORD91B, and SNX9 at 24 hours post‐culture. Mechanical loading significantly decreased RNF213 gene expression, which was confirmed by real‐time PCR. In conclusion, mechanically loaded osteocytes differentially expressed 47 genes, of which 11 genes were related to bone metabolism. RNF213 might play a role in mechanical adaptation of bone by regulating angiogenesis, which is a prerequisite for successful bone formation. The functional aspects of the differentially expressed genes in bone mechanical adaptation requires future investigation. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
Plasma inflammation‐related biomarkers are associated with intrinsic capacity in community‐dwelling older adults
Authors: Lu Wan‐Hsuan , Gonzalez‐Bautista Emmanuel , Guyonnet Sophie , Lucas Alexandre , Parini Angelo , Walston Jeremy D. , Vellas Bruno , de Souto Barreto Philipe ,   for the MAPT/DSA Group
Published: January 2023

AbstractBackgroundHow inflammation relates to intrinsic capacity (IC), the composite of physical and mental capacities, remains undefined. Our study aimed to investigate the cross‐sectional and longitudinal associations between plasma inflammation‐related biomarkers and IC in older adults.MethodsThis secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT) included 1238 community‐dwelling older individuals with IC assessments from 12 to 60 months. Plasma C‐reactive protein (CRP), interleukin‐6 (IL‐6), tumour necrosis factor receptor‐1 (TNFR‐1), monocyte chemoattractant protein‐1 (MCP‐1) and growth differentiation factor‐15 (GDF‐15) were measured at 12 months. IC was operationalized as a score ranging from 0 to 100, derived from four domains: cognition, Mini‐Mental State Examination; locomotion, Short Physical Performance Battery; psychological, Geriatric Depression Scale; and vitality, handgrip strength. A five‐domain IC score (plus sensory) was investigated in a subsample (n = 535) with a 1‐year follow‐up as an exploratory outcome.ResultsThe mean age of the 1238 participants was 76.2 years (SD = 4.3); 63.7% were female. Their initial four‐domain IC scores averaged 78.9 points (SD = 9.3), with a yearly decline of 1.17 points (95% CI = −1.30 to −1.05; P < 0.001). We observed significant associations of lower baseline IC with higher CRP, IL‐6, TNFR‐1 and GDF‐15, after controlling age, sex, MAPT group allocation and educational level [CRP: adjusted β (95% CI) = −1.56 (−2.64 to −0.48); P = 0.005; IL‐6: adjusted β = −3.16 (−4.82 to −1.50); P < 0.001; TNFR‐1: adjusted β = −6.86 (−10.25 to −3.47); P < 0.001; GDF‐15: adjusted β = −7.07 (−10.02 to −4.12); P < 0.001]. Higher TNFR‐1, MCP‐1 and GDF‐15 were associated with faster decline in four‐domain IC over 4 years [TNFR‐1: adjusted β (95% CI) = −1.28 (−2.29 to −0.27); P = 0.013; MCP‐1: adjusted β = −1.33 (−2.24 to −0.42); P = 0.004; GDF‐15: adjusted β = −1.42 (−2.26 to −0.58); P = 0.001]. None of the biomarkers was significantly associated with the five‐domain IC decline.ConclusionsInflammation was associated with lower IC in older adults. Among all plasma biomarkers, TNFR‐1 and GDF‐15 were consistently associated with IC at the cross‐sectional and longitudinal levels.
The interpretation of discrepancies between peer victimization experiences reported by different informants in capturing victimization‐related genetic liability. A commentary on Armitage et al. (2022)
Authors: Lella Annalisa , Antonucci Linda A. , Pergola Giulio 
Published: January 2023

AbstractA recent work published in this journal by Armitage et al. reported that wellbeing‐related genetic scores (PGS) are associated with self‐informed peer victimization questionnaires. In contrast, peer‐ and teacher‐informed measures would capture intelligence and educational attainment PGS better. However, we argue that this dichotomy does not find comprehensive support in the literature; instead, informants other than self and especially peers may provide reports from angles particularly relevant to mental health. For example, peer reports may more objectively capture adverse social reactions evoked by genetic factors (i.e., evocative gene‐environment correlations). Thus, we recommend caution in generalizing the conclusion that self‐reports capture the association between genetic contribution to mental health and peer victimization better than other‐informant measures, as different gene‐environment mechanisms may be at play.
Design, synthesis, and biological activity of heterocyclic methyl esters
Authors: Yuan Qinglong , Zhang Yongchao , Du Shaoqing , Fu Wen , Xu Zhiping , Cheng Jiagao , Li Zhong , Shao Xusheng 
Published: January 2023

AbstractDiverse molecular fragments have generally facilitated the development of drug discovery. Heterocyclic moieties could be found in most active ingredients, especially in chemical pesticides. Based on our previously reported 3,3,3‐Benzyl trifluoropropionate compounds which are of excellent insecticidal and fungicidal activity, we designed and synthesized 13 Heterocyclic Methyl Ester (HME) compounds, HME01‐HME13, comprising heterocyclic parts. Four insect species and four plant pathogens were employed in biological activities. The bioactivity assay results showed that compound HME12 exhibited certain insecticidal activity and fungicidal activity. The structure–activity relationship was preliminarily evaluated and further analyzed by density functional theory. The results might be meaningful for directing the development of such esters. Moreover, compound HME12 could be continuously studied as a precursor.
Review of the Coalition for Diversity and Inclusion in Scholarly Communications' ‘Toolkits for Equity’
Authors: White Danica , Lund Brady , Agbaji Daniel , Maurya Sanjay , Banerjee‐McFarland Shabnam 
Published: January 2023

Key points
These toolkits are found to have great value for initiating discussions about diversity and antiracism in scholarly publishing and within research units.
Scholarly publishers and researchers, including within universities and other research organizations, are encouraged to utilize these toolkits in their practice.
High‐resolution measurements of the epipelagic and mesopelagic ocean by a profiling vehicle equipped with environmental sensors and a broadband echosounder
Authors: Grassian Benjamin , Roman Christopher , Warren Joseph D. , Casagrande Dave 
Published: January 2023

AbstractCollecting detailed surveys of the environmental and biological distributions in the epipelagic and mesopelagic ocean is important for understanding the basic processes that govern these expansive habitats and influence the earth system at large. Common ocean sampling platforms (e.g., net systems, moored, and shipboard sensors), are often unable to resolve marine biota at scales comparable to the variability associated with their own behavior or that of their physical environment. Newer approaches using mobile robotic systems carrying multiple environmental sensors have enabled detailed interrogation of the fine and sub‐mesoscale distribution of animals and have provided more context for the water column structure. We integrated a dual‐frequency broadband split‐beam echosounder (Simrad EK80 with 70 and 200 kHz transducers) into the Wire Flyer profiling vehicle to achieve concurrent hydrographic and acoustic sections in the midwater environment (0–1000 m) at novel scales. The Wire Flyer provides high‐resolution repeat profiling (0–2.5 m s−1 up and down velocity) within specified water column depth bands typically spanning 300–400 m. This system can provide acoustic backscatter data at depths unavailable to shipboard surveys due to attenuation limits and can be operated in tandem with conventional shipboard echosounders to provide overlapping acoustic coverage with concurrent hydrographic sections. The side‐looking transducer orientation, as opposed to the traditional vertically oriented arrangement on ships, samples orthogonal to the vehicle's profiling survey path and provides a direct measurement of animal distributions in the horizontal. The processed data have demonstrated the system's capacity to track migrating layers and resolve coherent biological patches and single targets in the horizontal, rising seafloor gas plumes, and scattering layer distributions tightly coupled to measured sub‐mesoscale features such as strong vertical oxygen gradients.
Why cutting respiratory CO2 loss from crops is possible, practicable, and prudential
Authors: Joshi Jaya , Amthor Jeffrey S. , McCarty Donald R. , Messina Carlos D. , Wilson Mark A. , Millar A. Harvey , Hanson Andrew D. 
Published: January 2023

AbstractPlants release back to the atmosphere about half of the CO2 they capture by photosynthesis. Decreasing the rate of crop respiration could therefore potentially increase yields, store more carbon in the soil and draw down atmospheric CO2. However, decreasing respiration rate has had very little research effort compared to increasing photosynthesis, the historically dominant metabolic paradigm for crop improvement. Conceptual and technical advances, particularly in protein turnover and directed enzyme evolution, have now opened ways to trim the large fraction of respiration that fuels proteome maintenance by lowering the breakdown and resynthesis rates of enzymes and other proteins. In addition to being theoretically possible and practicable, exploring the reduction of respiration is prudential, given that it (i) has barely yet been tried and (ii) could help meet the challenges of sustaining crop productivity and managing atmospheric carbon.
Sub‐second photon dose prediction via transformer neural networks
Authors: Pastor‐Serrano Oscar , Dong Peng , Huang Charles , Xing Lei , Perkó Zoltán 
Published: January 2023

AbstractBackgroundFast dose calculation is critical for online and real‐time adaptive therapy workflows. While modern physics‐based dose algorithms must compromise accuracy to achieve low computation times, deep learning models can potentially perform dose prediction tasks with both high fidelity and speed.PurposeWe present a deep learning algorithm that, exploiting synergies between transformer and convolutional layers, accurately predicts broad photon beam dose distributions in few milliseconds.MethodsThe proposed improved Dose Transformer Algorithm (iDoTA) maps arbitrary patient geometries and beam information (in the form of a 3D projected shape resulting from a simple ray tracing calculation) to their corresponding 3D dose distribution. Treating the 3D CT input and dose output volumes as a sequence of 2D slices along the direction of the photon beam, iDoTA solves the dose prediction task as sequence modeling. The proposed model combines a Transformer backbone routing long‐range information between all elements in the sequence, with a series of 3D convolutions extracting local features of the data. We train iDoTA on a dataset of 1700 beam dose distributions, using 11 clinical volumetric modulated arc therapy (VMAT) plans (from prostate, lung, and head and neck cancer patients with 194–354 beams per plan) to assess its accuracy and speed.ResultsiDoTA predicts individual photon beams in ≈50 ms with a high gamma pass rate of (2 mm, 2%). Furthermore, estimating full VMAT dose distributions in 6–12 s, iDoTA achieves state‐of‐the‐art performance with a (2 mm, 2%) pass rate and an average relative dose error of 0.75 ± 0.36%.ConclusionsOffering the millisecond speed prediction per beam angle needed in online and real‐time adaptive treatments, iDoTA represents a new state of the art in data‐driven photon dose calculation. The proposed model can massively speed‐up current photon workflows, reducing calculation times from few minutes to just a few seconds.
“Chief engagement officers?” A comparative study between U.S. corporate and nonprofit executive Leaders' social media communication strategies
Authors: Yue Cen April , Men Linjuan Rita , Hart Erin Birx 
Published: January 2023

AbstractOrganizational leaders are increasingly expected to be visible and communicative on social media with organizations' public. Drawing theory and literature from dialogic communication and leadership communication, this study analyzed and compared how corporate and nonprofit executive leaders capitalized on various dialogic principles and social presence strategies for engagement purposes. We content‐analyzed Twitter posts from leaders in corporate and nonprofit sectors. Findings revealed notable differences in how corporate and nonprofit executives communicated with publics on Twitter. While leaders from both sectors posted information valuable to their stakeholders and used affective strategies to project a personable image and nurture relationships, nonprofit leaders focused on social influence, whereas corporate executives emphasized information dissemination. This study also showed mixed findings regarding the relationships between leaders' communication strategies and publics' social media engagement.
Effects of treatment contents on changes in resilience among workers with mood or anxiety disorders: A 3‐month longitudinal study
Authors: Sato Kei , Gotoh Leo , Matsushita Michihiko , Tokunaga Yuichiro , Ishitake Tatsuya 
Published: January 2023

AbstractAimThe aim of this study was to identify factors that influence changes in resilience among workers with mental health disorders, leading to effective treatment and support.MethodsAmong the new patients at an institution, 81 who were working and had the ICD‐10 diagnoses F3 and F4 were included. Resilience was measured at the initial visit and 3 months later using the S‐H resilience test. Univariate and multiple regression analyses were conducted using the change in resilience between the two measurements as the objective variable, and treatment and attendance at work as explanatory variables.ResultsThere were no significant differences in resilience abilities between pre‐ and postmeasurement for the subjects as a whole. However, tests for the subgroups of diagnostic category, attendance at work, and treatment showed that resilience improved significantly in the mood disorder group, the leaving employment group, and the group receiving additional treatment. The results of the multiple regression analysis showed that treatment type (with or without additional treatment) had an effect on the degree of change in resilience, and among these “inpatient treatment” and “re‐work program” were suggested to have an effect.ConclusionThe resilience of workers with mental health disorders was found to improve even after only 3 months of treatment, depending on the content of the treatment. We believe the significance of this study is the quantitative indication of the transition of resilience, which has not been made concrete until now.
Androgen deprivation therapy in men with prostate cancer is not associated with COVID‐19 infection
Authors: Davidsson Sabina , Messing Eriksson Anna , Udumyan Ruzan , Swanholm Per , Lewin Lundh Maria , Widing Carolina , Lindlöf Christina , Fridfeldt Jonna , Andersson Sven‐Olof , Fall Katja 
Published: January 2023

AbstractBackgroundAndrogens may play a role in severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) infection and host responses as the virus is dependent on the androgen‐regulated protein transmembrane serine protease 2 for cell entry. Studies have indicated that prostate cancer patients receiving androgen deprivation therapy (ADT) are at reduced risk of SARS‐CoV‐2 infection and serious complications compared with patients without ADT, but data are inconsistent.MethodsA total of 655 prostate cancer patients who were under surveillance at two urology departments in Sweden on April 1, 2020 were included in the study as well as 240 patients with benign prostatic hyperplasia (BPH). At follow‐up early in 2021, the participants completed a questionnaire containing information about symptoms compatible with coronavirus disease 2019 (COVID‐19). Blood samples were also collected for the assessment of SARS‐CoV‐2 IgG antibodies (SARS‐CoV‐2 Total; Siemens). We used multivariable logistic regression models to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between ADT and the risk of SARS‐CoV‐2 infection.ResultsThe cumulative incidence of SARS‐CoV‐2 seropositivity was 13.4% among patients receiving ADT and 10.4% among patients without ADT. After adjusting for potential confounders, we observed no differences in symptoms or risk of SARS‐CoV‐2 infection between patients with and without ADT (OR: 0.98; 95% CI: 0.52–1.85). Higher body mass index, Type 1 diabetes, and prostate cancer severity, defined by high Gleason score (8–10; OR: 2.06; 95% CI: 1.04–4.09) or elevated levels of prostate‐specific antigen (>20 µg/l; OR: 2.15; 95% CI: 1.13–4.07) were associated with increased risk of SARS‐CoV‐2 infection. Overall, the risk of SARS‐CoV‐2 infection was not higher among men with prostate cancer than among men with BPH.ConclusionsOur results do not support the hypothesis that ADT use in prostate cancer patients reduces the risk or symptom severity of SARS‐CoV‐2 infection or that prostate cancer patients are at increased risk of COVID‐19 compared with men without prostate cancer.
Dust drift during mechanical and pneumatic wheat sowing and insights into the physicochemical characteristics of the abraded dust
Authors: Godaert Reinout , Zwertvaegher Ingrid , Hornetz Simon , Verboven Pieter , Nuyttens David 
Published: January 2023

AbstractBACKGROUNDDuring sowing, plant protection products (PPP)‐laden dust particles can be abraded from coated seeds and emitted into the atmosphere. Drift of these particles is a very complex phenomenon and depends on many factors, including the physicochemical characteristics of the dust. Currently, the available data needed to obtain a better understanding of the phenomenon and to build a risk assessment tool remain very limited. In this study, new data on dust drift and on the physochemical characteristics of dust abraded from wheat seeds generated using a pneumatic and a mechanical seeder were obtained. These data will serve as input to optimize a much‐needed computational fluid dynamics (CFD) model.RESULTSThe dust generated by the pneumatic seeder contained a greater volume of smaller particles (<150 μm) than the mechanical seeder dust, which contained a greater volume of larger particles (>1000 μm) than pneumatic seeder dust. Compared to the pneumatic seeder, the mechanical seeder showed lower drift values. With both seeders, the drift depositions decreased with increasing distance from the sowing area but no clear relationship between dust drift and wind speed could be found.CONCLUSIONThe gathered physicochemical and drift data for wheat seed drilling extend the current dust drift database, and help to better understand the complex dust drift phenomenon. These data will serve as input to refine and validate a CFD dust drift model. Such a model will allow a better and quicker assessment of different scenarios (e.g. varying wind speeds and direction, treatment, drilling technique) at a lower cost than conducting more field trials. © 2023 Society of Chemical Industry.