bluuebunny/crossref_metadata_2025_split huggingface dataset:
Repeated copper sulfate treatments have no effect on growth and survival of juvenile Walleye
Authors: Farmer Bradley D. , Straus David L. , Johnson J. Alan , Ledbetter Cynthia K. , Deshotel Michael B. 
Published: March 2024

Abstract

Objective
An experiment was conducted to evaluate the effects of repeated copper sulfate (CuSO4) treatments on the growth and survival of juvenile Walleye Sander vitreus.

Methods
Culture tanks were treated with 0 or 0.76 mg/L CuSO4 every other day for five exposures, then were not treated for 14 consecutive days; this regimen was repeated for a total of 10 exposures over the course of 50 days. Copper sulfate treatments had a half-life of about 60 min. The study was conducted in flow-through well water at ≈1.5 L/m and 23.8°C.

Result
The resulting survival data for CuSO4 treated and nontreated fish was 96% and 85% survival, respectively, and not statically different. There was no difference in weight, with treated weighing 25.3 g compared to 25.2 g for nontreated control fish. Both groups had weight increases of over 400% during the study. Neither group differed in length, with treated fish reaching a mean length of 14.6 cm and nontreated reaching a mean length of 14.5 cm.

Conclusion
The results indicate that repeated CuSO4 treatments had no effect on Walleye growth or survival.
A MPM Lagrangian‐Eulerian hydrocode for simulating buried explosions in transversely isotropic geomaterials
Authors: Xiao Mian , Sun WaiChing 
Published: March 2024

AbstractShock waves in geological materials are characterized by a sudden release of rapidly expanding gas, liquid, and solid particles. These shock waves may occur due to explosive volcanic eruptions or be artificially triggered. In fact, underground explosions have often been used as an engineering solution for large‐scale excavation, stimulating oil and gas recovery, creating cavities for underground waste storage, and even extinguishing gas field fires. As such, hydrocodes capable of simulating the rapid and significant deformation under extreme conditions can be a valuable tool for ensuring the safety of the explosions. Nevertheless, as most of the hydrocodes are often formulated in an Eulerian grid, this setting makes it non‐trivial to track the deformation configuration of the materials without a level set. The objective of this paper is to propose the use of the material point method equipped with appropriate equation of state (EOS) models as a hydrocode suitable to simulate underground explosions of transverse isotropic geomaterials. To capture the anisotropic effect of the common layered soil deposits, we introduce a new MPM hydrocode where an anisotropic version of the Mie‐Gruneisen EOS is coupled with a frictional Drucker‐Prager plasticity model to replicate the high‐strain‐rate constitutive responses of soil. By leveraging the Lagrangian nature of material points to capture the historical dependence and the Eulerian calculation of internal force, the resultant model is capable of simulating the rapid evolution of geometry of the soil as well as the high‐strain‐rate soil mechanics of anisotropic materials.
Physicochemical characterization of a lycopene‐loaded mesoporous silica nanoparticle formulation
Authors: Carvalho Gabriela Corrêa , Marena Gabriel Davi , do Nascimento André Luiz Carneiro Soares , de Camargo Bruna Almeida Furquim , Sábio Rafael Miguel , Lourenço Felipe Rebello , Santos Hélder A. , Chorilli Marlus 
Published: March 2024

AbstractLycopene (LYC), a carotenoid extracted mainly from tomatoes, has several biological properties, making its use desirable as a nutraceutical and pharmaceutical active ingredient. Among its various applications vulvovaginal candidiasis stands out. However, the use of LYC in therapy has limitations related to its solubility and stability. In this study, mesoporous silica nanoparticles (MSNs) are used to load and protect LYC from degradation. The exact amount of drug incorporated was determined by analytical techniques, such as high‐performance liquid chromatography (HPLC) and thermal analysis. For this, we developed and validated an HPLC method for LYC quantification and evaluated LYC impregnation in MSNs, followed by thermogravimetry analysis (TGA). Differential scanning calorimetry (DSC) was also used in order to confirm drug incorporation. Additionally, an in vitro release study in simulated vaginal fluid was also carried out. The HPLC method was duly validated for the range of 26–125 µg mL−1 and proved to be suitable for LYC quantification. DSC measurements suggest an improvement in the stability of the impregnated drug, which was reinforced by the release assay. Overall, the developed method is suitable to quantify LYC‐loaded porous materials enabling its use in vaginal applications.
Group‐based instrumental musical training to enhance resilience among school‐aged children from low‐income families: A pilot randomised waitlist controlled trial
Authors: Cheung Ankie Tan , Ho Laurie Long Kwan , Li William Ho Cheung , Chan Godfrey Chi Fung , Choi Kai Chow , Chung Joyce Oi Kwan , Chan Carmen Yip Wing Han 
Published: March 2024

AbstractAimTo evaluate the acceptability, feasibility and potential effectiveness of a group‐based instrumental musical training programme in improving resilience, depressive symptoms, self‐esteem and quality of life among school‐aged children from low‐income families.DesignAssessor‐blinded pilot randomised waitlist controlled trial with process evaluation.MethodsThis study was conducted in the community from January 2022 to July 2023. Sixty‐four children from low‐income families (aged 8–12 years) were randomised (1:1) to intervention and waitlist control groups. The intervention group (n = 32) received weekly 1‐hour instrumental musical training for 6 months in groups of four to five from professionally qualified musicians at a music centre. The participants in the waitlist control group (n = 32) received the same intervention as the participants in the intervention group after the completion of all outcome assessments. The primary outcome was the children's levels of resilience, measured using the Resilience Scale for Children – 10. The secondary outcomes were depressive symptoms, self‐esteem and quality of life. Assessments were conducted at baseline (T0) and immediately post‐intervention (T1). An intention‐to‐treat analysis was performed.ResultsThe 64 participants had a mean (SD) age of 9.5 (1.44) years, and 37 (57.8%) were boys. Compared with the waitlist control group, participants in the intervention group showed significantly greater improvements in resilience levels from baseline to T0 (group‐by‐time interaction coefficient β = 4.41; 95% CI, 1.82–6.99; p = 0.001), depressive symptoms (β = −6.42; 95% CI, −11.12 to −1.71; p = 0.008), self‐esteem (β = −2.60; 95% CI, 0.28–4.92; p = 0.028) and quality of life (β = 6.69; 95% CI, 0.18–13.2; p = 0.044).ConclusionThe group‐based instrumental musical training programme was feasible and acceptable for school‐aged underprivileged children and showed the potential to improve the resilience and quality of life of this vulnerable population.
Trends in Management of Ménière Disease: A TriNetX Network Database Analysis
Authors: Gallagher Tyler J. , Adams Meredith E. , Choi Janet S. 
Published: March 2024

AbstractThis study investigated management practices for Meniere's disease (MD) and their temporal trends from 2008 to 2022 within the TriNetX network database. Study cohort included adult patients (≥18 years) with the diagnosis of MD from TriNetX's multi‐institutional medical records (n = 77,493). MD diagnosis and management were queried based on the international classification of diseases, tenth revision, current procedural terminology, and RXNorm codes. Temporal trends were analyzed using joinpoint regression. There was significant increase in rates of relevant medications prescribed within 12 months of MD diagnosis from 2008 to 2022 (annual percent change [APC]: 1.2 [95% confidence interval, CI: 0.4–1.9]). There were no significant changes in rate of intratympanic injection within 12 months of MD diagnosis (1.7 [95% CI: −1.1 to 4.5]). Rate of endolymphatic sac surgery and labyrinthectomy any time after MD diagnosis gradually decreased from 2008 to 2022 at APC of −8.1 (95% CI: −11.8 to −4.2) and −11.0 (95% CI: −14.0 to −7.7), respectively. Use of relevant medications has significantly increased during the early management of MD and the overall use of surgical treatments has decreased.
A multiscale modeling framework for predicting strain‐dependent electrical conductivity of carbon nanotube‐incorporated nanocomposites considering the electron tunneling effect
Authors: Kil Taegeon , Bae Jin‐Ho , Park Jihoon , Jang Daeik , Yang Beomjoo , Lee H. K. 
Published: March 2024

AbstractThe present work proposes a multiscale modeling framework for predicting the strain‐dependent electrical conductivity of carbon nanotube (CNT)‐incorporated nanocomposites considering the electron tunneling effect. A micromechanical model taking into account the waviness of the CNTs is utilized and molecular dynamics simulations estimating changes in distance between CNTs in the polymer matrix are conducted in an attempt to incorporate the electron tunneling effect. A series of numerical parametric studies are carried out to examine the influence of model parameters (e.g., CNT length, number of CNT segments, and intrinsic interfacial resistivity) on the strain‐dependent electrical conductivity of the nanocomposites. In addition, CNT/polydimethylsiloxane samples are fabricated and their strain‐dependent electrical conductivity is experimentally evaluated. Finally, to verify the predictive capability of the proposed modeling framework, the present predictions are compared with experimental results.Highlights
A multiscale modeling framework of CNT‐incorporated nanocomposites is proposed.
A micromechanics model and molecular dynamics simulations are used.
The study includes a numerical parametric investigation.
The present predictions are compared with those obtained experimentally.
Development of machine learning models for the prediction of erosion wear of hybrid composites
Authors: Mahapatra Sourav Kumar , Satapathy Alok 
Published: March 2024

AbstractThis article reports on development of an adaptive framework for predicting the erosion performance of polymer composites using certain statistical and machine learning (ML) models. For this, ramie‐epoxy composites reinforced with variations (0–30 wt%) of sponge iron slag (an iron industry waste) are considered. The composites are fabricated and then subjected to high temperature solid particle erosion wear trials following Taguchi's L27 orthogonal array. The effects of different control factors on the erosion rate in an interactive environment are appraised by analysis of variance (ANOVA) which reveals the filler content as the most significant factor contributing 66.21%, followed by impact velocity (22.86%) and impingement angle (2.28%). A regression model based on the input–output parameters obtained from experimentation is constructed for prediction of erosion rate. Further, four predictive models using different machine learning algorithms are also proposed to predict the erosion rate of the composites. The feasibility and performance of each ML model is assessed using appropriate performance metrics. Among all the models, the gradient boosting machine model is found to be the most reliable model exhibiting the highest prediction accuracy and least errors.Highlights
Development of novel class of composites reinforced with sponge iron slag.
Database creation based on erosion wear experimentation on the composites.
Data‐driven modeling for prediction of erosion rates using machine learning.
Comparison of performance of different models and identifying the best one.
Tribological behavior and mechanism of Mo2Ti2C3/polyimide composite films under dry friction condition
Authors: Wang Xinrui , Chen Guojing , Huang Yufei , Ma Zhenqian , Yin Xuan , Chai Chunpeng 
Published: March 2024

AbstractPolyimide (PI) has good mechanical properties and thermal stability, while high coefficient (COF) and wear rate limit its wide application. In order to endow PI with better friction and wear resistance, Mo2Ti2C3 MXene was used as solid lubricant to prepare Mo2Ti2C3/PI nanocomposites with different content of Mo2Ti2C3. The effect of the amount of Mo2Ti2C3 on the tribological behavior of PI was explored and the tribological mechanism was also analyzed Tribological tests showed that at 1.2 wt% of Mo2Ti2C3 addition, the composite material demonstrated superior friction and wear resistance, exhibiting a 19.9% decrease in the COF and a 79.7% decrease in the wear rate compared to single PI due to the good self‐lubricating properties of Mo2Ti2C3 MXene. Moreover, Mo2Ti2C3 can also effectively assist PI to form sleek transfer films without interruption or gaps on the steel balls, resulting in a reduced friction COF and wear rate of the material. This work demonstrates that Mo2Ti2C3 MXene is an aussichtsreich additive for polymers to improve the tribological properties and broadens the applications of Mo2Ti2C3/PI composites in friction material area.Highlights
Mo2Ti2C3 significantly improves the tribological performance of polyimide.
The thermal properties of Mo2Ti2C3/polyimide are enhanced by the introduction of Mo2Ti2C3.
The minimum coefficient of Mo2Ti2C3/PI composites was only 0.246 at the 1.2 wt% content of Mo2Ti2C3.
The wear rate of Mo2Ti2C3/PI composites was decreased by 79.7% at the 1.2 wt% addition of Mo2Ti2C3.
Mo2Ti2C3 promotes the establishment of tribo‐film to protect the Mo2Ti2C3/PI composites from friction.
A novel biomimetic probe for galectin‐3 recognition: Chemical synthesis and structural characterization of a β‐galactose branched sodium hyaluronate
Authors: Nizzolo Sofia , Esposito Emiliano , Ni Ming‐Hong , Bertocchi Laura , Bianchini Giulio , Freato Nadia , Zanzoni Serena , Guerrini Marco , Bertini Sabrina 
Published: March 2024

AbstractSodium hyaluronate (HA), a derivative of hyaluronan, is a natural and biocompatible polysaccharide that interacts with cluster of differentiation‐44 receptor to promote fine‐tuning of inflammation, fibrosis, and tissue remodeling. HA has a smaller molecular weight than hyaluronan and is overall more stable being less prone to oxidation. In this study, we report a novel lactose‐functionalized sodium hyaluronate, named HYLACH®. Functionalization with multiple β‐galactose residues facilitates its interaction with galectin‐3, a β‐galactose binding lectin implicated in various pathological processes including inflammation, host defense, and fibrosis, especially critical in idiopathic pulmonary fibrosis (IPF). Our strategy was to modify HA, to varying extents, at carboxyl sites with 1‐amino‐1‐deoxy‐lactitol, in the presence of 4‐(4,6‐dimethoxy‐1,3,5‐triazin‐2‐yl)‐4‐methyl morpholinium chloride in aqueous media. We characterized the chemical structure, molecular weight, and degree of substitution of HYLACH® using NMR spectroscopy and size exclusion chromatography. We further determined several key parameters including its stability toward enzymatic degradation and the binding affinity and conformational changes of galectin‐3 interaction with HYLACH®. Collectively, the generation of a novel functionalized HA with an ability to bind and suppress galectin‐3 function, in combination with safety and biocompatibility, offers the opportunity to test this compound in therapeutic trials of devastating fibrotic diseases such as IPF.
Confirmation and characterization of the first case of acetolactate synthase (ALS)‐inhibitor resistance in Japanese brome (Bromus japonicus) in the US
Authors: Adari Manogna Devi , Pandian Balaji Aravindhan , Gaines Todd A. , Prasad PV Vara , Jugulam Mithila 
Published: March 2024

AbstractBACKGROUNDJapanese brome (Bromus japonicus Thumb.) is one of the problematic annual weeds in winter wheat (Triticum aestivum L.) and is generally controlled by acetolactate synthase (ALS) inhibitors. Repeated use of the ALS inhibitor propoxycarbazone‐Na resulted in the evolution of resistance to this herbicide in three B. japonicus populations, i.e., R1, R2, and R3 in Kansas (KS). However, the level of resistance and mechanism conferring resistance in these populations is unknown. The objectives of this research were to (i) evaluate the level of resistance to propoxycarbazone‐Na in R1, R2, and R3 in comparison with a known susceptible population (S1), (ii) investigate the mechanism of resistance involved in conferring ALS‐inhibitor resistance, and (iii) investigate the cross‐resistance to other ALS inhibitors.RESULTSDose–response (0 to 16x; x = 44 g ai ha−1 of propoxycarbazone‐Na) assay indicated 167, 125, and 667‐fold resistance in R1, R2 and R3 populations, respectively, compared to S1 population. ALS gene sequencing confirmed the mutations resulting in amino acid substitutions, i.e., Pro‐197‐Thr (R3, R1)/Ser (R2, R1) bestowing resistance to these ALS inhibitors. Such amino acid substitutions also showed differential cross‐resistance to sulfosulfuron, mesosulfuron‐methyl, pyroxsulam, and imazamox among resistant populations. Pretreatment with malathion (a cytochrome P450 enzyme‐inhibitor) followed by imazamox treatment suggested cross‐resistance to this herbicide possibly via metabolism only in R3 population.CONCLUSIONOverall, these results confirm the first case of target‐site based resistance to ALS inhibitors in B. japonicus in the US, highlighting the need for exploring herbicides with alternative modes of action to enhance weed control in winter wheat. © 2024 Society of Chemical Industry.
Design, synthesis and antifungal activity of novel α‐methylene‐γ‐butyrolactone derivatives containing benzothiophene moiety
Authors: Li Luwei , Hui Tuoping , Li Yuying , Wang Yaqiang , Gu Huiping , Chen Guangyou , Lei Peng , Gao Yanqing , Feng Juntao 
Published: March 2024

AbstractBACKGROUNDThe discovery of agricultural fungicide candidates from natural products is one of the key strategies for developing environment friendly agricultural fungicides with high efficiency, high selectivity and unique modes‐of‐action. Based on previous work, a series of novel α‐methylene‐γ‐butyrolactone (MBL) derivatives containing benzothiophene moiety were designed and synthesized.RESULTSThe majority of the proposed compounds displayed moderate to considerable antifungal efficacy against the tested pathogenic fungi and oomycetes, some exhibiting broad spectrum antifungal activity. Notably, compounds 2 (3‐F‐Ph) and 7 (4‐Cl‐Ph) showed excellent antifungal activity against Rhizoctonia with half maximal effective concentration (EC50) values of 0.94 and 0.99 mg L−1, respectively, comparable to the commercial fungicide tebuconazole (EC50 = 0.96 mg L−1), and also displayed significant inhibitory effects against V alsa mali with EC50 values of 2.26 and 1.67 mg L−1, respectively – better than famoxadone and carabrone. The in vivo protective and curative effects against R. solani of compound 2 were 57.2% and 53.7% at 100 mg L−1, respectively, which were equivalent to tebuconazole (51.6% and 52.4%). Further investigations found that compound 2 altered the ultrastructure of R. solani cell, significantly increased the relative conductivity of the cells, and reduced the activity of complex III in a dose‐dependent manner. Molecular docking results showed that compound 2 matched well with the Qo pocket.CONCLUSIONThe results revealed that MBL derivatives containing benzothiophene moiety are promising antifungal candidates and provide a new backbone structure for further optimization of novel fungicides. © 2024 Society of Chemical Industry.
Physiologically based pharmacokinetic modeling of imatinib and N‐desmethyl imatinib for drug–drug interaction predictions
Authors: Loer Helena Leonie Hanae , Kovar Christina , Rüdesheim Simeon , Marok Fatima Zahra , Fuhr Laura Maria , Selzer Dominik , Schwab Matthias , Lehr Thorsten 
Published: March 2024

AbstractThe first‐generation tyrosine kinase inhibitor imatinib has revolutionized the development of targeted cancer therapy and remains among the frontline treatments, for example, against chronic myeloid leukemia. As a substrate of cytochrome P450 (CYP) 2C8, CYP3A4, and various transporters, imatinib is highly susceptible to drug–drug interactions (DDIs) when co‐administered with corresponding perpetrator drugs. Additionally, imatinib and its main metabolite N‐desmethyl imatinib (NDMI) act as inhibitors of CYP2C8, CYP2D6, and CYP3A4 affecting their own metabolism as well as the exposure of co‐medications. This work presents the development of a parent–metabolite whole‐body physiologically based pharmacokinetic (PBPK) model for imatinib and NDMI used for the investigation and prediction of different DDI scenarios centered around imatinib as both a victim and perpetrator drug. Model development was performed in PK‐Sim® using a total of 60 plasma concentration–time profiles of imatinib and NDMI in healthy subjects and cancer patients. Metabolism of both compounds was integrated via CYP2C8 and CYP3A4, with imatinib additionally transported via P‐glycoprotein. The subsequently developed DDI network demonstrated good predictive performance. DDIs involving imatinib and NDMI were simulated with perpetrator drugs rifampicin, ketoconazole, and gemfibrozil as well as victim drugs simvastatin and metoprolol. Overall, 12/12 predicted DDI area under the curve determined between first and last plasma concentration measurements (AUClast) ratios and 12/12 predicted DDI maximum plasma concentration (Cmax) ratios were within twofold of the respective observed ratios. Potential applications of the final model include model‐informed drug development or the support of model‐informed precision dosing.
A novel intelligent fault diagnosis method of rolling bearings based on capsule network with Fast Routing algorithm
Authors: Jiang Guang‐Jun , Li De‐Zhi , Li Qi , Sun Hong‐Hua 
Published: March 2024

AbstractFault diagnosis is a novel technology crucial for monitoring the proper functioning and ensuring the stability of mechanical devices and components. Nevertheless, most existing data‐driven methods for rolling bearing fault diagnosis exhibit limited diagnostic capabilities in scenarios characterized by noise interference and inadequate training data. To address this issue, this paper proposes a novel intelligent fault diagnosis method for rolling bearings based on Capsule Network with Fast Routing algorithm (FCN). Firstly, the vibration signal is transformed into a time‐frequency map through continuous wavelet transform (CWT), and the transformed time‐frequency map is input into the network model to enable the network to learn features more fully. Subsequently, this paper introduces FCNs into capsule networks, effectively mitigating the extended training times typically associated with capsule networks and reducing the demands on training equipment. Extensive experiments are conducted utilizing two distinct bearing datasets to assess the method's stability and generalization. The results of these experiments demonstrate the proposed approach's ability to maintain robust fault diagnosis capabilities, even in the presence of noise interference and limited training data. This innovative method lays the foundation for intelligent rolling bearing diagnosis and is readily adaptable to other rotating components.