bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Self‐Gelling Powder Directly Co‐Assembled by Natural Small Molecules for Traumatic Brain Injury
Authors: Yang Shutong , Luo Weikang , Song Xianwen , Chen Quan , Liu Jingjing , Gan Pingping , Liu Chuntai , Li Teng , Xu Gang , Zhang Yi , Zheng Jun , Wang Yang 
Published: March 2024

AbstractThe prognosis for traumatic brain injury (TBI) depends largely on prompt hemostasis and effective pharmacologic interventions. Natural all‐small‐molecule self‐gelling powder, integrating the advantages of self‐assembled small‐molecule hydrogels and powders, is expected to provide timely and effective prehospital management of TBI. However, the synthesis and application of natural all‐small‐molecule self‐gelling powder is still uncharted territory. In this study, an all‐small‐molecule co‐assembled MGF‐H3BO3‐RUT (MBR) self‐gelling powder is fabricated through the co‐assembly of mangiferin (MGF) and rutin (RUT) in H3BO3/NaOH aqueous solution. Both compounds can bind with boric acid, leading to co‐assembling into hydrogels through hydrogen‐bonding interactions and π–π stacking. MBR self‐gelling powder is then obtained by drying the as‐prepared hydrogels, thus integrating hemostasis and pharmacodynamics into one. Remarkably, it displays robust regeneration capabilities, while retaining excellent self‐healing properties and injectability after drying‐hydration cycles. Moreover, MBR self‐gelling powder not only achieves rapid effective hemostasis but also attenuates conspicuously cerebral edema and inflammatory response after TBI by in situ spraying, exhibiting notable neuroprotective effects without discernible toxic side effects. This study provides a novel assembly strategy and application form for self‐assembled gel materials originating from natural small molecules, offering promising avenues for the treatment of TBI in the acute phase.
Rapid and Up‐Scalable Flash Fabrication of Graphitic Carbon Nanocages for Robust Potassium Storage
Authors: Wang Lina , Zhu Sheng , Huang Zhihao , Li Mengxiu , Zhao Yun , Han Gaoyi , Li Yan , Ni Jiangfeng 
Published: March 2024

AbstractGraphitic carbon nanocages (CNCs) have garnered attention as viable candidates for potassium storage, primarily due to their notable crystallinity, large surface area, and rich porosity. Yet, the development of a rapid, scalable, and economically feasible synthesis approach for CNCs persists as a formidable challenge. This study presents a rapid (millisecond‐scale) and scalable (gram‐scale) method for fabricating mesoporous CNCs characterized by high purity and orderly graphitic structures, utilizing the flash Joule heating technique. Employed for potassium storage, the CNC electrode developed herein exhibits exceptional performance metrics, including initial capacity, rate capability, and cycling stability, surpassing numerous carbonaceous materials previously documented. Impressively, it delivers a high initial capacity of 312.3 mAh g−1 at 0.1 A g−1, maintains 175.1 mAh g−1 at a high rate of 2.0 A g−1, and retains 219.6 mAh g−1 over 1000 cycles at 1.0 A g−1. Molecular dynamics simulations and in situ characterizations are employed to elucidate this robust behavior. This work underscores the significant advantages of the flash Joule heating technique in synthesizing carbonaceous materials for potassium storage applications.
On‐Demand Bioactivation of Inert Materials With Plasma‐Polymerized Nanoparticles
Authors: Santos Miguel , Michael Praveesuda L. , Mitchell Timothy C. , Lam Yuen Ting , Robinson Thomas M. , Moore Mathew J. , Tan Richard P. , Rnjak‐Kovacina Jelena , Lim Khoon S. , Wise Steven G. 
Published: March 2024

AbstractConventional gas plasma treatments are crucial for functionalizing materials in biomedical applications, but have limitations hindering their broader use. These methods require exposure to reactive media under vacuum conditions, rendering them unsuitable for substrates that demand aqueous environments, such as proteins and hydrogels. In addition, complex geometries are difficult to treat, necessitating extensive customization for each material and shape. To address these constraints, an innovative approach employing plasma polymer nanoparticles (PPN) as a versatile functionalization tool is proposed. PPN share similarities with traditional plasma polymer coatings (PPC) but offer unique advantages: compatibility with aqueous systems, the ability to modify complex geometries, and availability as off‐the‐shelf products. Robust immobilization of PPN on various substrates, including synthetic polymers, proteins, and complex hydrogel structures is demonstrated in this study. This results in substantial improvements in surface hydrophilicity. Materials functionalization with arginylglycylaspartic acid (RGD)‐loaded PPN significantly enhances cell attachment, spreading, and substrate coverage on inert scaffolds compared to passive RGD coatings. Improved adhesion to complex geometries and subsequent differentiation following growth factor exposure is also demonstrated. This research introduces a novel substrate functionalization approach that mimics the outcomes of plasma coating technology but vastly expands its applicability, promising advancements in biomedical materials and devices.
From Charge to Spin: An In‐Depth Exploration of Electron Transfer in Energy Electrocatalysis
Authors: Sun Shubin , Zhang Yudi , Shi Xin , Sun Wen , Felser Claudia , Li Wei , Li Guowei 
Published: March 2024

AbstractCatalytic materials play crucial roles in various energy‐related processes, ranging from large‐scale chemical production to advancements in renewable energy technologies. Despite a century of dedicated research, major enduring challenges associated with enhancing catalyst efficiency and durability, particularly in green energy‐related electrochemical reactions, remain. Focusing only on either the crystal structure or electronic structure of a catalyst is deemed insufficient to break the linear scaling relationship (LSR), which is the golden rule for the design of advanced catalysts. The discourse in this review intricately outlines the essence of heterogeneous catalysis reactions by highlighting the vital roles played by electron properties. The physical and electrochemical properties of electron charge and spin that govern catalysis efficiencies are analyzed. Emphasis is placed on the pronounced influence of external fields in perturbing the LSR, underscoring the vital role that electron spin plays in advancing high‐performance catalyst design. The review culminates by proffering insights into the potential applications of spin catalysis, concluding with a discussion of extant challenges and inherent limitations.
Comment on “High‐Efficient Blue Emission and Bandgap Engineering from Jahn‒Teller Distorted Halide Double Perovskites”
Authors: Xiao Zewen 
Published: March 2024

AbstractIn a recent publication, Liu et al. investigated the doping strategy of pentavalent antimony (Sb5+) in the benchmark material Cs2NaInCl6, achieving a bright blue emission with a high photoluminescence quantum yield of ≈90% at low doping concentrations and bandgaps as low as 1.24 eV at high doping concentrations (Adv. Opt. Mater. 2024, 12, 2301576). In this comment, by reanalyzing Liu et al.' data and conducting hybrid density functional theory calculations, the study provides evidence supporting the incorporation of Sb3+ ions rather than “Sb5+ ions”, as the cause of the efficient blue emission observed in the lightly‐doped Cs2NaInCl6 samples. Furthermore, it is proposed that the narrowing of the bandgap in the “heavily‐doped Cs2NaInCl6” samples is a result of the formation of a new phase related to a mixed‐valence salt, Cs4SbIIISbVCl12.
Pixel Geometry Effect on PbS Quantum Dot/Graphene Nanohybrid Broadband Photodetectors
Authors: Shultz Andrew , Liu Bo , Gong Maogang , Hernandez Francisco C. Robles , Wu Judy 
Published: March 2024

AbstractPhotodetectors based on colloidal quantum dots (QD)/graphene nanohybrids are quantum sensors due to strong quantum confinement in both QD and graphene. The optoelectronic properties of QD/graphene nanohybrids are affected by the quantum physics that predicts a high photoconductive gain and hence photoresponsivity (R*) depending on the pixel length (L) as R*∝L−2. Experimental confirmation of the effect of the pixel geometric parameters on the optoelectronic properties of the QD/graphene photodetector is therefore important to elucidate the underlying quantum physics. Motivated by this, an array of PbS QDs/graphene nanohybrid photodetectors are designed with variable QD/graphene pixel length L and width (W) in the range of 10–150 µm for a study of R*, noise, and specific detectivity (D*) in a broad spectrum of 400–1500 nm. Intriguingly, R* exhibits a monotonic decreasing trend of 1/L2 while being independent of W, confirming experimentally the theoretical prediction. Interestingly, this geometric effect on the photoresponsivity seems to be partially compensated by that in noise, leading to D* independent of L and W at wavelengths in the ultraviolet‐visible‐near infrared range. This result sheds light on the quantum physics underlying the optoelectronic process in QD/graphene nanohybrids, which is important to the design of high‐quality QD/graphene photodetectors and imaging systems.
Naphthoic Acid Derivatives@Boric Acid Based Fast Photo‐Activated Room‐Temperature Phosphorescence Materials with Dynamic Changed Emission Color
Authors: Cheng Yi , Fan Wenwen , He Runying , Meng Xian , Zhou Qian , Ma Xiurong , Liu Yanxiong , Shi Yonggang , Zheng Liyan , Cao Qiue 
Published: March 2024

AbstractPhotoactivated dynamic ultralong room‐temperature phosphorescent (PAD‐URTP) materials with changing emission colors are attractive and meaningful but are rarely reported. Herein, a one‐pot heat treatment strategy for embedding 1‐hydroxy‐2‐naphthoic acid (1H2NA) and 2‐hydroxy‐1‐naphthoic acid (2H1NA) into boric acid (BA) matrix (named 1H2NA@BA and 2H1NA@BA) to construct PAD‐URTP materials is developed, which exhibits rapid and reversible photoactivated phosphorescence, as well as photo‐stimulated dynamic change of luminescence color. The luminescent color of 1H2NA@BA could continuously change from blue‐purple to bright cyan‐white upon prolonged 365 nm UV light irradiation, which is attributed to the combined effect of static blue fluorescence and dynamic photoactivated green phosphorescence. Significantly, it could emit over 10 s green afterglow after switching off the UV irradiation. The combination of experiment and theoretical calculation results reveal that their PAD‐URTP behavior is attributed to the energy accumulation of triplet states under UV light irradiation. Finally, a series of information encryption and a complete story of “a mouse and cake” are successfully fabricated by using 1H2NA@BA with other luminescence materials. Thus, this study demonstrates fast PAD‐URTP materials with dynamic color‐changing luminescence and opens up new possibilities as the photo‐responsive luminescent material for further mechanistic understanding and future application.
scmFormer Integrates Large‐Scale Single‐Cell Proteomics and Transcriptomics Data by Multi‐Task Transformer
Authors: Xu Jing , Huang De‐Shuang , Zhang Xiujun 
Published: March 2024

AbstractTransformer‐based models have revolutionized single cell RNA‐seq (scRNA‐seq) data analysis. However, their applicability is challenged by the complexity and scale of single‐cell multi‐omics data. Here a novel single‐cell multi‐modal/multi‐task transformer (scmFormer) is proposed to fill up the existing blank of integrating single‐cell proteomics with other omics data. Through systematic benchmarking, it is demonstrated that scmFormer excels in integrating large‐scale single‐cell multimodal data and heterogeneous multi‐batch paired multi‐omics data, while preserving shared information across batchs and distinct biological information. scmFormer achieves 54.5% higher average F1 score compared to the second method in transferring cell‐type labels from single‐cell transcriptomics to proteomics data. Using COVID‐19 datasets, it is presented that scmFormer successfully integrates over 1.48 million cells on a personal computer. Moreover, it is also proved that scmFormer performs better than existing methods on generating the unmeasured modality and is well‐suited for spatial multi‐omic data. Thus, scmFormer is a powerful and comprehensive tool for analyzing single‐cell multi‐omics data.
Undulatory Propulsion at Milliscale on Water Surface
Authors: Ren Ziyu , Ucak Kagan , Yan Yingbo , Sitti Metin 
Published: March 2024

AbstractThe oscillatory pitch motion at the leading edge of a millimeter‐scale flexible sheet on the water surface can generate undulatory locomotion for swimming, similar to a honeybee vibrating its wings for propulsion. The influence of various parameters on such swimming strategy remains unexplored. This study uses magnetic milliswimmers to probe the propulsion mechanics and impact of different parameters. It is found that this undulatory propulsion is driven by capillary forces and added mass effects related to undulatory waves of the milliswimmers, along with radiation stress stemming from capillary waves at the interface. Modifying the parameters such as actuation frequency, pitch amplitude, bending stiffness, and hydrofoil length alters the body waveform, thus, affecting the propulsion speed and energy efficiency. Although undulatory motion is not a prerequisite for water surface propulsion, optimizing body stiffness to achieve a proper undulatory waveform is crucial for efficient swimming, balancing energy consumption, and speed. The study also reveals that the induced water flow is confined near the water surface, and the flow structures evolve with varying factors. These discoveries advance the understanding of undulatory water surface propulsion and have implications for the optimal design of small‐scale swimming soft robots in the future.
Three‐dimensional modeling in anatomy—Tool or terror?
Authors: Alexander Seth M. , Pogson‐Morowitz Kaylyn B. , Johnson Corey S. 
Published: March 2024

AbstractThree‐dimensional (3D) modeling is a recent, innovative approach to teaching anatomy. There is little literature, however, to suggest how 3D modeling is best used to teach students and whether or not students can gain the same level of understanding as they might use more traditional, hands‐on, teaching methods. This study evaluated the use of a 3D modeling software in both a flipped classroom curriculum and as an active learning tool in comparison to traditional, physical model‐based teaching. Pre‐ and post‐course content‐based assessments were used to evaluate students' learning. Our findings indicated no significant difference between standard and flipped classroom learning; however, the students who used 3D modeling software as an active learning tool significantly underperformed students in the standard group (F(2,1060) = 112.43, p < 0.0001). These findings suggest that these technologies may not yet be useful as a primary means of instruction. Possible explanations may include cognitive overload in navigating the system, intrinsic limitations of the software, or other factors. Further development and research of these technologies is necessary prior to their adoption into teaching practices in anatomy.
A novel chromone Schiff base as Zn2+ turn‐on fluorescent chemosensor in a mixed solution
Authors: Yang Wensheng , Yang Wan , Ma Yajun , Yan Long , Ma Xiangrong 
Published: March 2024

AbstractIn this study, a novel fluorescent chemosensor 1 based on chromone‐3‐carboxaldehyde Schiff base was synthesized and featured through nuclear magnetic resonance (NMR) and mass spectra. Spectroscopic investigation indicated that the fluorescent sensor showed high selectivity toward Zn2+ over other metal ions and that the detection limit of 1 could reach 10−7 M. These indicated that 1 acted as a highly selective and sensitive fluorescence chemosensor for Zn2+.
Asymptomatic left ventricular pseudoaneurysm
Authors: Hanamura Taisuke , Fukamachi Daisuke , Tanaka Masashi , Okumura Yasuo 
Published: March 2024

Key Clinical MessageSome cases of left ventricular pseudoaneurysms (LVPAs) are asymptomatic. While cardiac magnetic resonance imaging is important, a chest x‐ray can easily be performed and is also crucial for the detection of LVPA during the first outpatient visit.
Reaction Mechanisms of Fe‐Dependent Fatty Acid Decarboxylases
Authors: Wang Ying , Chen Shi‐Lu 
Published: March 2024

AbstractThe escalating demand for fossil fuels has raised environmental concerns, urging the exploration of biosynthetic pathways for renewable hydrocarbon fuels. Terminal alkenes (α‐alkenes) emerge as “drop‐in” compatible fuels and chemicals, holding the potential to replace traditional fossil fuels. Fatty acid decarboxylases present a promising route for converting fatty acids into α‐alkenes, underscoring the imperative need for comprehending the catalytic mechanisms governing these enzymes in the quest for renewable biofuel production. The reported fatty acid decarboxylases entail the involvement of heme and non‐heme iron cofactors in the redox process. In this review, we summarize the reaction mechanisms of four iron‐dependent fatty acid decarboxylases (OleTJE, OleTPRN, UndA, and UndB), providing a critical analysis of the factors influencing chemical selectivity and catalytic performance.
Taguchi method and neural network for efficientβ‐ketoenaminesynthesis in deionized water
Authors: Ghabi Wissal , Landolsi Kamel , Echouchene Fraj , Bajahzar Abdullah , Msaddek Moncef , Belmabrouk Hafedh 
Published: March 2024

AbstractThe optimization of performance parameters, in particular the yield of the synthesis reaction of β‐enaminones in demineralized water, is crucial to improve their efficiency and accuracy. In this report, we investigate the optimization of the synthesis of β‐ketoenamines in deionized water by controlling several parameters such as reaction time, temperature, amine equivalent, acid percentage, and stirring rate. An orthogonal L16(45) network was created using Taguchi's approach, allowing for the best possible parameters. To forecast the contribution of each parameter, analysis of variance (ANOVA) techniques are also used. Multiple linear and nonlinear regression (MLR, MNLR) and multilayer perception artificial neural network (MLP‐ANN) predictive models were developed. Analysis of the results led to optimized design parameters, with time = 6 h, temperature = 25°C, amine equivalent = 1.5, acid percentage = 20%, and stirring rate = 1000 rpm, leading to a maximum yield of 63%. ANOVA analysis revealed that temperature, stirring rate, acid percentage, and time are the parameters with the greatest influence. The least sensitive parameter is the amine equivalent. The two main interactions are temperature * acid % and amine equivalent * rpm. The MLP‐ANN predictions are in good agreement with the experimental values, resulting in a higherR2compared to the quadratic regression model and the MLR model. By using molecular docking studies, the produced compounds' biological activity was investigated. Some of the synthesized compounds appear to be interesting and could be used for therapeutic applications. The results of this study give us insight into the gentle, cost‐effective, and biologically active synthesis of β‐enaminones in deionized water.
The study of NH3‐SCR mechanism on γFe2O3 supported LaMnO3 catalyst based on DFT
Authors: Lin Kangshuai , Zhong Wanzhen , Zhang Lijun , Zhu Xinshenghui , Liu Kaijie , Ren Dongdong 
Published: March 2024

AbstractFe2O3 supported LaMnO3 is an effective selective catalytic reduction (SCR) denitrification catalyst, but its reaction mechanism has not been reported yet. This article is based on the density functional theory (DFT) method to study the denitrification reaction mechanism of LaMnO3/Fe2O3 catalyst, in order to guide the development and application of denitrification catalysts. The conclusion is as follows: NH3, NO, and O2 molecules can form stable adsorption on the surface of La MnO3/γFe2O3 catalysts, and NH3 molecules are more likely to be adsorbed on Mn ions. Under the oxidation of lattice oxygen, NH3 will gradually dehydrogenate to form NH2, and then will react with NO in the air to form the transitional intermediate NH2NO, to produce N2 and H2O. The mechanisms are same on Mn and Fe sites. The dehydrogenate of NH3 to form NH2 is rate determining step. Compared with pure γFe2O3, the energy barrier decreases to promote the SCR process.
Synthesis of Self‐assembled Star/Linear Block Copolymer Blends via Aqueous RAFT Dispersion Polymerization
Authors: Wang Ruiming , Zhu Wenyu , Zhang Li , Sheng Xinxin , Tan Jianbo 
Published: March 2024

Comprehensive SummaryReversible addition‐fragmentation chain transfer (RAFT)‐mediated polymerization‐induced self‐assembly (PISA) of star block copolymer and linear block copolymer using a binary mixture of a star‐like macro‐RAFT agent and a linear macro‐RAFT agent is reported. With this formulation, star block copolymer and diblock copolymer were formed simultaneously to generate colloidally stable star/linear block copolymer assemblies. Size exclusion chromatography (SEC) analysis confirmed the presence of two types of polymers in the final samples. The molar ratio of the star‐like macro‐RAFT agent and the linear macro‐RAFT agent has a significant impact on the morphology of polymer assemblies. It was found that increasing the amount of star‐like macro‐RAFT agent facilitated the formation of higher‐order morphologies. Additionally, effects of other reaction parameters including the length/number of the arm of the star‐like macro‐RAFT agent, degree of polymer (DP), monomer concentration on the morphology of star/linear block copolymer assemblies were also investigated. We expect that this work will offer new possibilities for the scalable preparation of polymer assemblies with unique structures and functions.
A bibliometric analysis of the quantitative schema therapy literature
Authors: Pilkington Pamela D. , Karantzas Gery C. 
Published: March 2024

AbstractBackgroundThe evidence base for schema therapy has evolved significantly since it was first developed by Jeffrey Young in the 1990s. The aim of this bibliometric analysis was to summarize the trends and characteristics of the quantitative literature on schema therapy.MethodPsycINFO, PubMed and CINAHL Complete databases were last searched on 1 June 2023 following the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses 2020 statement to identify peer‐reviewed journal articles written in English that reported on original quantitative research on schema therapy or schema therapy constructs. NVivo was used to complete a descriptive analysis of the bibliographic, sample and study characteristics, and a coding framework was applied to capture the aspect of the schema therapy model that was the focus of each study, as well as the study context (e.g., the population or outcomes under investigation). SciVal was used to complete citations and authorship analyses. VOSviewer was used to examine co‐authorship networks.ResultsA total of 704 quantitative studies on schema therapy were published by 483 unique first authors between 1994 and mid‐2023. Studies predominantly used correlational designs with small samples (Mdn N = 153) of mostly females aged 18 years or older. The articles tended to focus on early maladaptive schemas, rather than schema domains or schema modes. Schema therapy and its concepts were most frequently studied in the context of depression and personality disorders. SciVal analyses indicated that, on average, articles were cited 27 times, with a Field Weighted Citation Impact of 1.02.ConclusionsSchema therapy research output appears to have slowed in recent years and several critical research gaps were evident. Areas of high priority for future research include schema modes and coping responses, and the use of developmental and longitudinal designs to evaluate several key causal assumptions in the theory underpinning schema therapy.