bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineered Exosomes with Ouabain for H3K27M‐Mutated DIPG Therapy
Authors: Shan Shaobo , Chen Junge , Qing Guangchao , Xie Luyang , Xia Bozhang , Pan Changcun , Xu Cheng , Fang Hongjuan , Wan Yichen , Yang Yun , Fan Yubo , Liang Xing‐Jie , Zhang Liwei 
Published: October 2024

AbstractDiffuse intrinsic pontine glioma (DIPG) is a highly lethal tumor that occurs in the brain stem. At present, there is no effective drug for DIPG. In this work, Na/K‐ATPase inhibitor‐ouabain (OB) is found to efficiently kill H3K27M‐mutated DIPG at low doses, inhibit tumor cell proliferation, reduce tumor stemness for the first time, demonstrating its potential as a chemotherapy drug for DIPG. In order to increase the blood–brain barrier (BBB) permeability and tumor accumulation of OB, acidic‐responsive engineered exosomes loaded with OB (OB@EXO‐LCCP) are constructed, which increase the accumulation of OB within the tumor microenvironment of DIPG and efficiently deliver OB to DIPG cells to achieve targeted killing effect. In in vitro experiments, OB@EXO‐LCCP is able to release OB in an acid‐responsive manner and effectively kill DIPG tumor cells. In in vivo experiments, OB@EXO‐LCCP significantly inhibits DIPG growth and prolongs the overall survival of DIPG‐bearing mice. Overall, OB@EXO‐LCCP can promote the BBB permeability and tumor‐targeting ability of OB, thereby enhancing its DIPG‐killing ability and reducing its toxicity. This study provides technical and theoretical information for the precision therapy of DIPG.
Zincophilic Tellurium Interface Layer Enables Fast Kinetics for Ultralow Overpotential and Highly Reversible Zinc Anode
Authors: Chen Jingzhu , Liu Ning , Zhao Siwei , Dong Wujie , Lv Zhuoran , Wan Dongyun , Bi Hui , Huang Fuqiang 
Published: October 2024

AbstractCorrosion, hydrogen evolution, and dendrite formation seriously affect the Zn anode, significantly limiting the practical application of aqueous zinc ion batteries. Herein, the Zn anode surface is innovatively reconstructed by decorating a zincophilic tellurium layer (Te@Zn) to enhance the Zn deposition kinetics. Theoretical calculations and experimental characterizations demonstrate that the zincophilic Te provides an abundance of anchoring sites for Zn nucleation and homogenizes the interface electric field to suppress dendrite growth. The Te@Zn anode exhibits an ultralow overpotential of 14.8 mV at 1.0 mA cm−2 and 1.0 mAh cm−2 with high Coulombic efficiency, and maintains ultra‐stable operation for over 3600 h at 0.2 mA cm−2 and 0.2 mAh cm−2. The Te@Zn||KVOH full cells and soft–pack batteries also deliver a brilliant rate capability and long cycling stability. The interfacial manipulation strategy using the Te layer on Zn anode surface paves the way for large‐scale energy storage applications.
Design of Electrocatalysts with High Performance Based on Thermodynamics and Kinetics: Progress and Prospects
Authors: Du Minshu , Yu Feihan , Gong Shumin , Liu Feng 
Published: October 2024

AbstractEfficient and robust electrocatalysts play a central role in clean energy conversion, enabling a number of sustainable processes for future technologies. The traditional explorations of electrocatalyst relying on the trial‐and‐error approaches are definitely tedious and inefficient. Theoretical progresses on reactive thermodynamics and kinetics in recent years have initiated a powerful theory‐guided design strategy of electrocatalysts. Herein, this review first summarizes design principles for reactive activity and stability, presenting the thermodynamics, kinetics, and the synergistic thermokinetic correlation in electrocatalytic reaction. Second, the screening criterion, reasonable design, mechanistic understanding, and performance evaluation of the typical electrocatalysts as divided into the thermodynamics oriented‐, kinetics oriented‐, and thermokinetic correlation oriented‐designs are discussed. The necessity of correlating thermodynamics and kinetics into the rational design and mechanism clarification is highlighted. Finally, the conclusions and perspectives of the development of highly efficient electrocatalysts are proposed.
Macrophage Membrane‐Biomimetic Multi‐Layered Nanoparticles Targeting Synovial Angiogenesis for Osteoarthritis Therapy
Authors: Liao Junyi , Zhu Zhenglin , Zou Jing , Liu Senrui , Luo Xuefeng , Bao Wei , Du Chengcheng , Lei Yiting , Huang Wei 
Published: October 2024

AbstractOsteoarthritis (OA) is an inflammatory and progressive joint disease characterized by angiogenesis‐mediated sustained, chronic, and low‐grade synovitis. Anti‐angiogenesis is emerging as a strategy for attenuating OA progression, but is often compromised by poor targeted drug delivery and immune clearance. Recent studies have identified macrophages formed a “protective barrier” in the lining layer (LL) of synovium, which blocked the communication of joint cavity and sublining layer (SL) of synovium. Inspired by natural mimicry, macrophage membrane‐camouflaged drug delivery is explored to avoid immune clearance. Based on the single cell RNA sequencing, the CD34+ synovial cells are identified as “sentinel cells” for synovium angiogenesis. Consequently, CD34 antibody‐modified macrophage membrane is constructed to target new angiogenesis. Hence, a biomimetic multi‐layered nanoparticle (NP) is developed that incorporates axitinib‐loaded poly(lactic‐co‐glycolic) acid (PLGA) with CD34 antibody modified macrophage membrane (Atb@NP@Raw@CD34) to specifically deliver axitinib (Atb) to the SL and sustain inhibiting angiogenesis without immune elimination. It is found that the Atb@NP@Raw@CD34 can pass through macrophage “barrier”, specifically targeting CD34+ cells, continuously releasing Atb and anti‐angiogenesis in OA synovitis. Furthermore, in vivo data demonstrated that Atb@NP@Raw@CD34 can attenuate joint degeneration by inhibiting synovium angiogenesis‐mediated synovitis. In conclusion, local injection of Atb@NP@Raw@CD34 presents a promising approach for clinically impeding OA progression.
Atomic Dispersed Co on NC@Cu Core‐Shells for Solar Seawater Splitting
Authors: Sun Zhehao , Cheng Shuwen , Jing Xuechen , Liu Kaili , Chen Yi‐Lun , Wibowo Ary Anggara , Yin Hang , Usman Muhammad , MacDonald Daniel , Cheong Soshan , Webster Richard F. , Gloag Lucy , Cox Nicholas , Tilley Richard D. , Yin Zongyou 
Published: October 2024

AbstractWith freshwater resources becoming increasingly scarce, the photocatalytic seawater splitting for hydrogen production has garnered widespread attention. In this study, a novel photocatalyst consisting of a Cu core coated is introduced with N‐doped C and decorated with single Co atoms (Co‐NC@Cu) for solar to hydrogen production from seawater. This catalyst, without using noble metals or sacrificial agents, demonstrates superior hydrogen production effficiency of 9080 µmolg−1h−1, i.e., 4.78% solar‐to‐hydrogen conversion efficiency, and exceptional long‐term stability, operating over 340 h continuously. The superior performance is attributed to several key factors. First, the focus‐light induced photothermal effect enhances redox reaction capabilities, while the salt‐ions enabled charge polarization around catalyst surfaces extends charge carrier lifetime. Furthermore, the Co─NC@Cu exhibits excellent broad light absorption, promoting photoexcited charge production. Theoretical calculations reveal that Co─NC acts as the active site, showing low energy barriers for reduction reactions. Additionally, the formation of a strong surface electric field from the localized surface plasmon resonance (LSPR) of Cu nanoparticles further reduces energy barriers for redox reactions, improving seawater splitting activity. This work provides valuable insights into intergrating the reaction environment, broad solar absorption, LSPR, and active single atoms into a core‐shell photocatalyst design for efficient and robust solar‐driven seawater splitting.
Enzyme‐Mediated Organic Neurohybrid Synapses
Authors: Lobosco Antonio , Lubrano Claudia , Rana Daniela , Montes Viviana Rincon , Musall Simon , Offenhäusser Andreas , Santoro Francesca 
Published: October 2024

AbstractThe development of organic artificial synapses that exhibit biomimicry features also may enable a more seamless integration of neuroelectronic devices in the nervous system, allowing artificial neuromodulation to be perceived as natural behavior by neuronal cells. Nevertheless, the capability to interact with both electroactive and non‐electroactive neurotransmitters remains a challenge since state‐of‐the‐art devices mainly rely on the oxidation of electroactive species. Here, the study proposes an organic artificial synapse engineered to enable interaction with non‐electroactive species present in the central nervous system. By integrating a conductive polymeric film functionalized with platinum nanoparticles, the device can catalyze the oxidation of electroactive molecules (i.e., H2O2) resulting from neurotransmitter‐specific enzymatic reactions following an enzymatic functionalization, therefore exhibiting neuromorphic functions driven by non‐electroactive neurotransmitters. The creation of devices that can interact with or monitor these neurotransmitters can be seen as a significant step toward innovative technologies to expand the understanding of the mechanisms underlying neurological disorders and the development of novel, more effective treatments for them.
Light‐Operated Diverse Logic Gates Enabled by Modulating Time‐Dependent Fluorescence of Dissipative Self‐Assemblies
Authors: Wei Jia‐Hao , Xing Junfei , Hou Xiao‐Fang , Chen Xu‐Man , Li Quan 
Published: October 2024

AbstractLight‐fueled dissipative self‐assembly possesses enormous potential in the field of optical information due to controllable time‐dependent optical signals, but remains a great challenge for constructing intelligent light‐operated logic circuits due to the limited availability of optical signal inputs and outputs. Herein, a series of light‐fueled dissipative self‐assembly systems with variable optical signals are reported to realize diverse logic gates by modulating time‐dependent fluorescence variations of the loaded fluorophores. Three kinds of alkyl trimethylammonium homologs are employed to co‐assemble with a merocyanine‐based photoinduced amphiphile separately to construct a series of dissipative self‐assemblies, showing unexpectedly different fluorescence control behaviors of loaded fluorophores during light irradiation and thermal relaxation processes. The opposite monotonicity of time‐dependent emission intensity is achieved just by changing the excitation wavelength. Furthermore, by varying the types of trimethylammoniums and excitation wavelengths, a robust logic system is accomplished, integrating AND, XNOR, and XOR functions, which provides an effective pathway for advancing information transmission applications.
Xanthate‐Mediated Oxidation of Li2S as the Lithium‐Containing Cathode in Lithium−Sulfur Batteries with Extremely Low Overpotential
Authors: Wu Jialing , Ye Hualin , Hu Yongpan , Huang Wei , Zhu Xinxin , Chang Wanwan , Li Ya , Pan Baojun , Li Yanguang , Lu Jun 
Published: October 2024

AbstractLithium−sulfide (Li2S) has long been pursued as a lithium‐containing cathode material for high‐energy‐density lithium‐sulfur (Li−S) batteries. Unfortunately, its direct oxidation generally has a large overpotential, giving rise to low energy efficiency. The use of redox mediators to accelerate the conversion of solid Li2S to polysulfides represents a possible solution to lower the initial oxidation overpotential. However, most reported redox mediators exhibit significantly higher redox potentials than the desirable value. Herein, it is serendipitously found that lithium ethyl xanthate (LiEX) formed from the reaction among Li2S, ethanol, and CS2 at room temperature is an efficient redox mediator. It has a redox potential (≈2.3 V vs Li+/Li) close to the electrochemical oxidation potential of Li2S (2.25 V vs Li+/Li), which enables fast Li2S oxidation reaction kinetics, and more importantly, lowers the Li2S oxidation potential from ≈3.6 to ≈2.3 V. When further integrated with an Ni–NC catalyst in a tandem catalysis scheme, a remarkable specific capacity of ≈1100 mAh g−1 at 0.2 mA cm−2 and long cycle life of 1400 cycles with ∼73% capacity retention is achieved, outperforming those of other Li2S‐based cathode materials from recent literature.
Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio‐inspired Electronic Eyes and Neuromorphic Image Sensors
Authors: Choi Changsoon , Lee Gil Ju , Chang Sehui , Song Young Min , Kim Dae‐Hyeong 
Published: October 2024

AbstractIn robotics, particularly for autonomous navigation and human–robot collaboration, the significance of unconventional imaging techniques and efficient data processing capabilities is paramount. The unstructured environments encountered by robots, coupled with complex missions assigned to them, present numerous challenges necessitating diverse visual functionalities, and consequently, the development of multifunctional robotic vision systems has become indispensable. Meanwhile, rich diversity inherent in animal vision systems, honed over evolutionary epochs to meet their survival demands across varied habitats, serves as a profound source of inspirations. Here, recent advancements in multifunctional robotic vision systems drawing inspiration from natural ocular structures and their visual perception mechanisms are delineated. First, unique imaging functionalities of natural eyes across terrestrial, aerial, and aquatic habitats and visual signal processing mechanism of humans are explored. Then, designs and functionalities of bio‐inspired electronic eyes are explored, engineered to mimic key components and underlying optical principles of natural eyes. Furthermore, neuromorphic image sensors are discussed, emulating functional properties of synapses, neurons, and retinas and thereby enhancing accuracy and efficiency of robotic vision tasks. Next, integration examples of electronic eyes with mobile robotic/biological systems are introduced. Finally, a forward‐looking outlook on the development of bio‐inspired electronic eyes and neuromorphic image sensors is provided.
High Performance Perovskite Solar Cells Based on Multifunctional Additives of Crown‐Ether‐Iodine Supra‐Molecules
Authors: Gui Junjie , Wang Yunpeng , Li Qingyu , Chen Qianyu , Wang Lidan , Xu Yunpeng , Yao Guangping , Fan Liangbiao , Du Ke‐Zhao , Sa Rongjian , Su Zisheng , Xiao Yaoming 
Published: October 2024

AbstractThe efficiency and stability of perovskite solar cells (PSCs) are influenced by various factors, such as controlling the migration of iodide anion (I−) and lithium cation (Li+), oxidizing the hole‐transport material of 2,2′,7,7′‐tetras(N,N‐p‐methoxyaniline)‐9,9′‐spirodifluorene (Spiro), and passivating the perovskite film. Herein, three multifunctional crown‐ether‐iodine (crown‐ether‐I2) supra‐molecules are investigated as activities in the hole transport layers (HTLs). Results indicate that the crown‐ether‐I2 can slowly release I2 to gently oxidize Spiro, and significantly improve the efficiency of PSCs. Moreover, the crown‐ether can contribute to stabilizing Li+ in HTL and passivating the defect sites on the upper interface of the perovskite layer, which can enhance the long‐term stability of PSCs. Furthermore, crown‐ether‐I2 can absorb I− to produce crown‐ether‐I3−, which can discharge I− to promote the self‐healing of I− defects and inhibit the migration of I− in the perovskite film, thereby further enhancing PSC's long‐term stability. PSC based on Dbenzo‐24‐Crown‐8‐Ether‐Iodine (DB24C8‐I2) achieves an impressive efficiency of 24.29%, which is much higher than that of the control device (22.28%). Additionally, the stability of the un‐encapsulated PSC with DB24C8‐I2 is significantly enhanced, while maintaining 96.9% of its original efficiency after 2000 h. This work provides an effective strategy for improving the efficiency and long‐term stability of PSCs.
Ultra‐Low BER Encrypted Communication Based on Self‐Powered Bipolar Photoresponse Ultraviolet Photodetector
Authors: Xu Hangjie , Weng Yunxiang , Chen Kai , Wu Chao , Hu Haizheng , Guo Daoyou 
Published: October 2024

AbstractUnderwater visible light communication often faces risks such as susceptibility to external light source interference, signal distortion, and information leakage. The cuprous oxide modified gallium oxide nanorod arrays detector prepared in this study can generate bipolar photocurrents under dual‐wavelength ultraviolet light without external bias voltage. Based on it, the constructed self‐powered ultraviolet ASCII code communication system not only reduce power consumption but also significantly enhance anti‐interference capability. Furthermore, the developed solar‐blind ultraviolet AMI and HDB3 ternary code communication systems can realize non‐visible light secure communication and automatic error correction. Notably, the encrypted communication system assembled using the additive property of bipolar photocurrents can also significantly improve communication security and reliability, whose bit error rate is only 0.26‰. This achievement contributes to technical advancements in underwater channel encryption and provides valuable insights for the further application of encrypted communication coding techniques.
Synthesis of CF3CH2‐Amides/Propiolamides/Acrylamides: The TfOH Catalyzed Reactions of Nitrile Compounds with CF3CHN2
Authors: Devi Soni , Kumar Madan , Lamba Manisha , Goswami Avijit 
Published: October 2024

AbstractAn efficient and operationally simple protocol to access N‐(2,2,2‐trifluoroethyl)amides/propiolamides and acrylamides via direct conversion of easily accessible nitriles (aryl/alkyl/alkynyl/vinyl) and in situ generated CF3CHN2 as trifluoroethylating reagent has been developed. The protocol offers broad functional group tolerance under mild reaction conditions. Furthermore, the conversion of trifluoroethylated propiolamide into its triazole analog via Ru‐catalyzed [3+2] cycloadditions using BnN3 clearly indicates its versatility in the synthetic applications.
Seawater Electrolysis: Challenges, Recent Advances, and Future Perspectives
Authors: Feng Zhe , Zhang Mengyang , Gu Chen , Zhang Anlei , Wang Longlu 
Published: October 2024

AbstractDriven by the advantages of hydrogen energy, such as environmental protection and high energy density, the market has an urgent demand for hydrogen energy. Currently, the primary methods for hydrogen production mainly include hydrogen generation from fossil fuels, industrial by‐products, and water electrolysis. Seawater electrolysis for hydrogen production, due to its advantages of cleanliness, environmental protection, and ease of integration with renewable energy sources, is considered the most promising method for hydrogen production. However, seawater electrolysis faces challenges such as the reduction of hydrogen production efficiency due to impurities in seawater, as well as high costs associated with system construction and operation. Therefore, it is particularly necessary to summarize optimization strategies for seawater electrolysis for hydrogen production to promote the development of this field. In this review, the current situation of hydrogen production by seawater electrolysis is first reviewed. Subsequently, the challenges faced by seawater electrolysis for hydrogen production are categorized and summarized, and solutions to these challenges are discussed in detail. Following this, an overview of an in situ large‐scale direct electrolysis hydrogen production system at sea is presented. Last but not least, suggestions and prospects for the development of seawater electrolysis for hydrogen production are provided.
Oncofetal MCB1 Is a Functional Biomarker for HCC Personalized Therapy
Authors: Xiang Daimin , Liu Junyu , Wang Yichuan , Hu Dingtao , Zhang Cheng , Zeng Tanlun , Jiang Weiqi , Liang Xijun , Dong Wei , Sun Wen , Xu Li , Li Hengyu , Shi Yihai , Zhang Jian , Liu Hui , Ding Jin 
Published: October 2024

AbstractHepatocellular carcinoma (HCC) is one of the leading causes of cancer‐related death worldwide and lacks biomarkers for personalized therapy. Herein, it is reported that MCB1 could be a novel oncofetal protein that is upregulated in the preneoplastic lesions and serum of early HCC patients. Functional studies reveal that MCB1 modulated p53 protein degradation to promote T‐IC generation and drive HCC initiation. Furthermore, the MCB1/p53 axis is shown to determine the responses of hepatoma cells to conventional chemotherapeutics and predict transcatheter arterial chemoembolization (TACE) benefits in patients. Importantly, MCB1 can mediate sorafenib/lenvatinib resistance by downregulating two essential drug targets fibroblast growth factor receptor 1 (FGFR1) and vascular endothelial growth factor receptor 3 (VEGFR3) expression in a proteasome‐dependent manner. Patient‐derived tumor organoids (PDOs), patient‐derived xenografts (PDXs), and patient cohorts analysis suggested that MCB1 levels in HCCs may determine the distinct responses to conventional therapeutics and targeted drugs. Furthermore, treatment of targeted drugs‐resistant HCC with adeno‐associated virus (AAV) targeting MCB1 or a proteasome inhibitor restores targeted drug response, suggesting their clinical significance in HCC combinational therapy. In conclusion, these findings demonstrate that MCB1 could act as a driver for HCC initiation, a contributor to drug resistance, and a biomarker for individualized HCC therapy.
DeepPhylo: Phylogeny‐Aware Microbial Embeddings Enhanced Predictive Accuracy in Human Microbiome Data Analysis
Authors: Wang Bin , Shen Yulong , Fang Jingyan , Su Xiaoquan , Xu Zhenjiang Zech 
Published: October 2024

AbstractMicrobial data analysis poses significant challenges due to its high dimensionality, sparsity, and compositionality. Recent advances have shown that integrating abundance and phylogenetic information is an effective strategy for uncovering robust patterns and enhancing the predictive performance in microbiome studies. However, existing methods primarily focus on the hierarchical structure of phylogenetic trees, overlooking the evolutionary distances embedded within them. This study introduces DeepPhylo, a novel method that employs phylogeny‐aware amplicon embeddings to effectively integrate abundance and phylogenetic information. DeepPhylo improves both the unsupervised discriminatory power and supervised predictive accuracy of microbiome data analysis. Compared to the existing methods, DeepPhylo demonstrates superiority in informing biologically relevant insights across five real‐world microbiome use cases, including clustering of skin microbiomes, prediction of host chronological age and gender, diagnosis of inflammatory bowel disease (IBD) across 15 studies, and multilabel disease classification.