bluuebunny/crossref_metadata_2025_split huggingface dataset:
Likes and Hashtags: Exploring the Potential Relationship Between Social Media use and the Emotional Wellbeing of Oncology Professionals
Authors: Moerdler Scott , Yan Yufei , Chrysanthopoulou Stavroula , Barry Maura , Henry Elizabeth , Lucas Tiffany , Marshall Ariela , Dizon Don S. 
Published: January 2025

ABSTRACTPurposeTo explore the potential relationship between social media (SoMe) and burnout or overall wellbeing within the field of oncology.DesignA cross‐sectional study of adult and pediatric oncology professionals conducted using an anonymous electronic survey. The survey was disseminated through the Children's Oncology Group (COG) and the SWOG Cancer Research Network (SWOG) member listservs.ResultsThe majority of pediatric and adult oncology professionals are not engaging on, with only 873/3000 (29%) using SoMe professionally. Use of SoMe was associated with statistically significant higher incidence of self‐reported burnout and poorer self‐reported work‒life integration (WLI). However, both groups reported the same degree of career satisfaction and choosing the same career/job again. SoMe users and non‐users reported similar overall psychological distress, although the use of SoMe was associated with less severe psychological distress.ConclusionWhile SoMe users reported higher rates of burnout and poorer WLI compared to non‐users, it was not accompanied by higher levels of psychological distress. Furthermore, there were no differences in career satisfaction. These misalignments require further study.
Sustainable filler from agricultural waste: Ball milling optimization of rice husk ash‐based silica for green tire tread composites
Authors: Yuan Shengwang , Hou Yihao , He Miao , Wang Lining , Yu Feiwei , Ma Yunhai 
Published: January 2025

AbstractThe objective of this study was to investigate the potential of using rice husk ash‐derived silica (RHA‐SiO₂) as a sustainable reinforcing agent for tread rubber composites. This investigation addresses the dearth of systematic research on the mechanical ball milling of RHA‐SiO₂ by employing a central composite design within the response surface methodology to meticulously examine the impact of ball milling rotational speed, duration, and sample drying conditions on particle quality post‐milling. The study's findings indicate that the rotational speed exerts the greatest influence on RHA‐SiO₂ particle size, while drying state also emerges as a crucial factor influencing particle dispersion. The optimal ball milling parameters were identified as 240 r/min for 2 hours under anhydrous ethanol wetting conditions. Furthermore, it was demonstrated that RHA‐SiO₂ could preserve the hardness and density of the composite, while simultaneously enhancing its stiffness and resilience by replacing industrial silica in the reinforced tread rubber composite. Notably, a 50% substitution rate resulted in a 23.1% enhancement in tear strength, demonstrating the efficacy of RHA‐SiO₂ in bolstering the mechanical properties of rubber composites. Indeed, this work may offer new ways of high value use of agricultural waste and open new horizons for the development of high performance environmentally friendly tyre materials.Highlights
RSM was utilized as a RHA‐SiO2 ultrafine ball milling technique with controlled particle size.
The optimum ball milling process was 240 r/min for 2 h in the alcoholic state.
RHA‐SiO2 exhibited a crystal structure and surface functional groups similar to the industrial silica.
Replacement of industrial silica by RHA‐SiO2 improved the mechanical properties of tread rubber composites.
RHA‐SiO2 at 50% substitution ratio increased tear strength by 23.1% to 41.76 kN/m.
Comparative study on properties of different fibers (unmodified/modified) reinforced polylactic acid degradable composites under ultraviolet aging conditions
Authors: Zhang Xiaolin , Ma Xinyue , Li Xin , Chang Xing , Huang Maocai , Liu Xinmei , Dang Jiangtao , Bo Xiangfeng , Fan Wei 
Published: January 2025

AbstractLaser printing waste paper fibers (LPWF) are classified as high‐quality secondary fibers, characterized by their lightweight nature, high modulus of elasticity, and excellent fiber quality. These attributes present significant opportunities for their application in plant fiber/resin matrix composites. However, the deinking process for LPWF is more challenging compared to traditional waste paper. The conventional recycled paper manufacturing sector often operates with lower value‐added processes, highlighting the urgent need for the industry to achieve high‐value utilization of laser printing waste paper. In this study, we utilized environmentally friendly and abundant sources of LPWF, alongside the biodegradable resin polylactic acid (PLA), as raw materials. LPWF/PLA composites were prepared through melt blending and injection molding techniques, and their performance was compared to other composites made from natural plant fibers (such as wood and straw) in ultraviolet‐accelerated aging experiments. The results demonstrated that the LPWF/PLA composites exhibited superior overall performance after ultraviolet exposure. To enhance the ultraviolet aging resistance of the LPWF/PLA composites, we modified them with dodecenyl succinic anhydride (DDSA) and the ultraviolet absorber UV‐531 combined with silicon dioxide (SiO2). Our findings indicated that the incorporation of these modifiers effectively protected the surface color of the composites, mitigated the degradation of mechanical properties and overall quality, and significantly reduced the occurrence of surface cracks. Notably, the modification using UV‐531/SiO2 yielded the most pronounced protective effects.Highlights
Comparison of the properties of three composites before and after UV aging.
LPWF have a low lignin content and exhibit outstanding resistance to UV aging.
Exploring the ultraviolet aging mechanism of plant fiber/resin composites.
Two modifiers were used to modify LPWF/PLA composites.
Providing new insights for extending the life of plant fiber‐resin composites.
A novel framework to predict transversal and shear parameters of unidirectional composites by combining experimental, numerical and machine learning methods
Authors: Cheng Siqi , Wang Xiaoyu , Gao Yuxuan , Zhu Ruixing , Chen Yue , Liu Tao 
Published: January 2025

AbstractThis work presents a new method to predict the transversal and shear properties of unidirectional composites (UD) through combining the experimental, numerical and machine learning methods. The experimental results proved the complexity and difficulty of explaining primary factors affecting the mechanical properties of UD. The representative unit cell model was then created to generate 500 virtual samples for machine learning. The results show that the back propagation neural network model (BP) is the most suitable for predicting the mechanical properties of UD, with an accuracy of 98% within a 2% error. The minimum mean square and absolute errors are 1.09E‐3 and 1.15E‐5, respectively. It is proved that the interface has significant influences on all mechanical properties of UD and shear modulus of composite in 12 directions (Gc12) of UD is affected by all input parameters through the optimized BP model. Due to the wide coverage of input data, the proposed BP model is universal and can be adopted to predict transversal and shear properties of UD made from different kinds of fibers.Highlights
Interface has influences on all parameters of unidirectional composites.
Shear properties of unidirectional composites along 12 directions are intricated.
Machine learning can predict mechanical properties of unidirectional composites.
Specific samples are beneficial to improve the predicted accuracy.
Two‐dimensional layered MoS2/lignin as additives for epoxy composites with improved mechanical and tribological properties
Authors: Du Rong , Zhang Jin , Sun Dinghao , Lin Tong , Wang Yanzhou , Yin Lv , Wu Yuanpeng 
Published: January 2025

AbstractThe MoS2/lignin hybrid material was successfully synthesized and incorporated into an epoxy resin to fabricate composite coatings. The results demonstrate that MoS2 is uniformly attached to the surface of lignin sheets. Compared to adding lignin alone, the MoS2/lignin hybrid‐epoxy resin (EP) composite coatings exhibited enhanced friction‐reducing and wear‐resistant properties. Specifically, the 1 wt% MoS2/lignin hybrid displayed excellent dispersion and high interfacial compatibility within the resin matrix, leading to a 66.7% increase in Vickers hardness, a 27.5% increase in tensile strength, and a 73.9% improvement in char yield. Furthermore, the friction coefficient and wear rate were reduced by 63.2% and 75.8%, respectively. As a uniformly dispersed hybrid structure, the MoS2/lignin material can endure higher loads, autonomously repair defects, and form a stable and complete transfer film on the worn surface, demonstrating synergistic friction‐reducing and wear‐resistant effects within the epoxy resin matrix. Integrating MoS2 into a two‐dimensional material can provide a practical reference for designing polymer‐based hybrid materials with outstanding comprehensive properties.Highlights
The MoS2/lignin hybrid material was successfully synthesized.
MoS2 is uniformly attached to the surface of lignin sheets.
The hybrid significantly enhances friction‐reducing and wear‐resistant properties.
Vickers hardness increased by 66.7%, and tensile strength increased by 27.5%.
The friction coefficient was reduced by 63.2%, and the wear rate was reduced by 75.8%.
Making Sense of a Prenatal Detection of Trisomy 16 Mosaicism in the Placenta: A Qualitative Study of Pregnant Women's Decision Making
Authors: Lou Stina , Ryberg Anna , Becher Naja , Lund Ida Charlotte Bay , Vogel Ida 
Published: January 2025

ABSTRACTObjectivePrenatal detection of Trisomy 16 mosaicism (MosT16) in a Chorionic Villus Sample (CVS) results may cause significant anxiety for expectant parents due to the risk of fetal malformation and fetal growth restriction (FGR). The aim of this study was to investigate the experiences and decision‐making of women receiving a MosT16 results during pregnancy.MethodsIn‐depth, semi‐structured interviews with eight Danish women who received a MosT16 CVS results. Interviews were analyzed using reflexive thematic analysis.ResultsFour women terminated pregnancy following the MosT16 CVS result, emphasizing the emotional burden of waiting for amniocentesis and concerns about fetal involvement and FGR risk. Four women opted to await amniocentesis following which one terminated pregnancy due to fetal involvement, while three continued their pregnancies (one normal result, two low‐percentage fetal involvement results). During pregnancy, all three fetuses were small for gestational age, and the concerns about their growth were burdensome for expectant parents. Two women delivered prematurely, but all three described their babies as healthy.ConclusionThe prenatal MosT16 CVS result represents a critical decision point, requiring consideration of both fetal involvement and FGR risk. Thus, genetic counseling should be combined with counseling from obstetrics/fetal medicine specialists.
Quaternary Radiation of Spring Ephemerals
Authors: Osozawa Soichi , Nackejima Cunio 
Published: January 2025

ABSTRACTThe emergence of East Asian spring ephemerals and the unique ecosystem can be attributed primarily to vicariance, brought about by the Quaternary rifting of the Okinawa Trough, the formation of the East China Sea, and the isolation of the island chains of Ryukyu, Japan, and Taiwan from the Asian continent. The northern forests of Japan, dominated by Fagus crenata and the associated Quercus crispula, present a captivating display of spring‐flowering ephemerals, including Erythronium japonicum, Viola bissetii, Anemone pseudoaltaica, and Corydalis fukuharae. Among these, Asarum is also considered part of the spring ephemerals. Our primary focus for phylogenetic analyses, which included constructing a haplotype network using PopART version 1.7 and molecular dating with BEAST v1.10.4, was on the genus Asarum. In the BEAST analysis, we set the Quaternary geological event calibration at 1.55 ± 0.15 Ma and applied pre‐Quaternary fossil calibrations. When we input 1.55 Ma into BEAST, the analysis suggested that spring ephemerals underwent a simultaneous splitting and diversification event around that time, approximately 1.55 Ma, during the Quaternary period. The differentiation of these species is more likely a result of adaptive radiation rather than vicariance, particularly given their partially sympatric distribution and occurrence across islands. This radiation likely originated from the most recent common ancestor of the ingroup species of spring ephemerals and can be seen as a response to significant environmental changes associated with the formation of the East China Sea around 1.55 Ma. Notably, species such as Asarum megacalyx and Fagus crenata exhibit adaptations to heavy snowfall, further supporting this idea. The spring ephemerals in beech or oak forests in North America and Europe may have radiated and diversified as a result of Quaternary global climatic changes.
Enhanced mechanical, thermal, barrier, and antibacterial properties of polypropylene nanocomposites reinforced with nano‐silver carbon black
Authors: Ge Fei‐Fan , Du Jian‐Hua , Yao Wei‐Hua , Suntamit Bunnakorn , Wu Chin‐San , Potiyaraj Pranut , Ma Zheng‐Lu , Preuksarattanawut Charasphat , Bai Yun‐Song , Tsou Chi‐Hui 
Published: January 2025

AbstractThis study investigates the incorporation of nano‐silver carbon black (AgCB) into polypropylene (PP) to develop nanocomposites with enhanced mechanical, thermal, barrier, and antibacterial properties. AgCB, synthesized with a carbon black‐to‐silver ratio of 19:1, was incorporated into PP at 0.5–5 wt% via melt blending. At 1 wt%, AgCB improved tensile strength by 21.5%, enhanced thermal stability, and reduced water vapor and oxygen permeability, achieving optimal performance with uniform dispersion. With increasing AgCB content, antibacterial activity improved significantly, achieving a sterilization rate exceeding 99.7%, although higher concentrations led to agglomeration, reducing mechanical and barrier performance. The dual function of AgCB as a nucleating agent and functional additive was demonstrated through DSC, WAXRD, and antibacterial tests. This work highlights the potential of AgCB as a cost‐effective filler for PP composites, suitable for applications requiring enhanced durability, barrier properties, and antimicrobial efficacy.Highlights
Nano‐silver carbon black improves PP crystallinity and barrier performance.
Optimal 1 wt% AgCB enhances PP's tensile strength and thermal stability.
AgCB creates tortuous pathways, reducing water vapor and oxygen permeability.
Low‐cost AgCB (CB:Ag = 19:1) achieves strong antibacterial activity (>99% efficacy).
AgCB mitigates nanoparticle agglomeration, enhancing filler dispersion in PP.
Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning
Authors: Fang Xinyi , Murphy Elizabeth A. , Kohl Phillip A. , Li Youli , Hawker Craig J. , Bates Christopher M. , Gu Mengyang 
Published: January 2025

ABSTRACTBlock copolymers play a vital role in materials science due to their diverse self‐assembly behavior. Traditionally, exploring the block copolymer self‐assembly and associated structure–property relationships involve iterative synthesis, characterization, and theory, which is labor‐intensive both experimentally and computationally. Here, we introduce a versatile, high‐throughput workflow toward materials discovery that integrates controlled polymerization and automated chromatographic separation with a novel physics‐informed machine‐learning algorithm for the rapid analysis of small‐angle X‐ray scattering data. Leveraging the expansive and high‐quality experimental data sets generated by fractionating polymers using automated chromatography, this machine‐learning method effectively reduces data dimensionality by extracting chemical‐independent features from SAXS data. This new approach allows for the rapid and accurate prediction of morphologies without repetitive and time‐consuming manual analysis, achieving out‐of‐sample predictive accuracy of around 95% for both novel and existing materials in the training data set. By focusing on a subset of samples with large predictive uncertainty, only a small fraction of the samples needs to be inspected to further improve accuracy. Collectively, the synergistic combination of controlled synthesis, automated chromatography, and data‐driven analysis creates a powerful workflow that markedly expedites the discovery of structure–property relationships in advanced soft materials.
Super‐resolution imaging of proteins inside live mammalian cells with mLIVE‐PAINT
Authors: Bhaskar Haresh , Gidden Zoe , Virdi Gurvir , Kleinjan Dirk‐Jan , Rosser Susan J. , Gandhi Sonia , Regan Lynne , Horrocks Mathew H. 
Published: January 2025

AbstractSuper‐resolution microscopy has revolutionized biological imaging, enabling the visualization of structures at the nanometer length scale. Its application in live cells, however, has remained challenging. To address this, we adapted LIVE‐PAINT, an approach we established in yeast, for application in live mammalian cells. Using the 101A/101B coiled‐coil peptide pair as a peptide‐based targeting system, we successfully demonstrate the super‐resolution imaging of two distinct proteins in mammalian cells, one localized in the nucleus, and the second in the cytoplasm. This study highlights the versatility of LIVE‐PAINT, suggesting its potential for live‐cell super‐resolution imaging across a range of protein targets in mammalian cells. We name the mammalian cell version of our original method mLIVE‐PAINT.
Edaravone is a Therapeutic Candidate for Doxorubicin‐Induced Cardiomyopathy by Activating the Nrf2 Pathway
Authors: Yoshikawa Naoki , Hirata Naoto , Kurone Yuichiro , Shimoeda Sadahiko 
Published: January 2025

ABSTRACTDoxorubicin (DOXO) has long been used clinically and remains a key drug in cancer therapy. DOXO‐induced cardiomyopathy (DICM) is a chronic and fatal complication that severely limits the use of DOXO. However, there are very few therapeutic agents for DICM, and there is an urgent need to identify those that can be used for a larger number of patients. The most likely pathogenic mechanism of DICM is the involvement of reactive oxygen species (ROS) and promotion of cell death. In this study, we investigated the efficacy and mechanism of action of edaravone (EDA), a known radical scavenger in DICM. Two methods of EDA administration were employed: daily and weekly. Our results showed that the daily administration group had prolonged survival periods and preserved the left ventricular ejection fraction in DICM mice. In contrast, in the weekly treatment group, slight improvements were observed in these indicators compared with those in DICM mice; however, none of them were statistically significant. These results show that the daily administration group had a higher efficacy than the weekly administration group. Gene‐expression results showed that Nrf2 and its related genes were upregulated in the daily group but not in the weekly group. Based on these results, we hypothesized that the Sirt1/Nrf2/HO‐1 and ABCB4 pathways were involved in EDA. However, there is limited evidence that EDA is effective against DICM. The findings obtained herein bolster the evidence in DICM by demonstrating prolonged survival and continued preservation of cardiac function and proposing a possible mechanism.
Pharmacokinetics‐Based Design of Subcutaneous Controlled Release Systems for Biologics
Authors: Grosskopf Abigail K. , Ginart Antonio A. , Spinosa Phillip , Shivva Vittal 
Published: January 2025

ABSTRACTProtein therapeutics have emerged as an exceedingly promising treatment modality in recent times but are predominantly given as intravenous administration. Transitioning to subcutaneous (SC) administration of these therapies could significantly enhance patient convenience by enabling at‐home administration, thereby potentially reducing the overall cost of treatment. Approaches that enable sustained delivery of subcutaneously administered biologics offer further advantages in terms of less frequent dosing and better patient compliance. Controlled release technologies, such as hydrogels and subcutaneous implantable technologies, present exciting solutions by enabling the gradual release of biologics from the delivery system. Despite their substantial potential, significant hurdles remain in appropriately applying and integrating these technologies with the ongoing development of complex biologic‐based therapies. We evaluate the potential impact of subcutaneously delivered controlled release systems on the downstream pharmacokinetics (PK) of several FDA‐approved biologics by employing rigorous mathematical analysis and predictive PK simulations. By leveraging linear time‐invariant (LTI) systems theory, we provide a robust framework for understanding and optimizing the release dynamics of these technologies. We demonstrate simple quantitative metrics and approaches that can inform the design and implementation of controlled release technologies. The findings highlight key opportunity areas to reduce dosing frequency, stabilize concentration profiles, and synergize the codelivery of biologics, calling for collaboration between drug delivery and PK scientists to create the most convenient, optimized, and effective precision therapies.
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
Authors: Felipe Niño Andrés , Palacio‐Betancur Alejandro , Miranda‐Chiquito Piedad , David Amaya Juan , Silva Christian E. , Gutierrez Soto Mariantonieta , Felipe Giraldo Luis 
Published: January 2025

ABSTRACTReal‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the physical substructure applied through an actuator. However, the dynamics of the coupling between components and the complexities of the system lead to synchronization challenges that affect the accuracy of the simulation. Thus, requiring tracking controllers to ensure the fidelity of the simulation. This paper studies deep reinforcement learning (DRL) as a novel alternative to designing the tracking controller. Three controllers are designed: a DRL agent combined with a conventional time delay compensation, a conventional feedback controller combined with a DRL agent, and a DRL agent with a complex neural network architecture. The proposed approaches are tested using a virtual RTHS benchmark problem, and the results are compared with an optimized controller that has a proportional‐integral‐derivative controller and phase‐lead compensation. The results show that DRL can address the synchronization challenges of RTHS with a model‐free approach and simple neural network architectures. The work shown in this study is a critical step toward model‐free control methodologies that can transform and further develop the RTHS method. The proposed methodology can be used to address important challenges related to RTHS, including nonlinearities and uncertainties of the physical substructure, complex boundary conditions, and the computational efficiency when physical structures with complex dynamics are present.