bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrode‐Dependent and Tunable Sub‐to‐Super‐Linear Responsivity in Mott Material‐Enabled Near‐Infrared Photodetectors for Advanced Near‐Sensor Image Processing
Authors: Li Bowen , Xie Pengshan , Chen Baojie , Meng You , Wang Weijun , Yang Mingwei , Gao Boxiang , Quan Quan , Yan Yan , Ding Mingqi , Li Danfeng , Chan Chi Hou , Ho Johnny C. 
Published: October 2024

AbstractBrain‐like intelligence is ushering humanity into an era of the Internet of Perceptions (IoP), where the vast amounts of data generated by numerous sensing nodes pose significant challenges to transmission bandwidth and computing hardware. A recently proposed near‐sensor computing architecture offers an effective solution to reduce data processing delays and energy consumption. However, a pressing need remains for innovative hardware with multifunctional near‐sensor image processing capabilities. In this work, Mott material (vanadium dioxide)‐based photothermoelectric near‐infrared photodetectors are developed that exhibit electrode‐dependent and tunable super‐linear photoresponse (exponent α > 33) with ultralow modulation bias. These devices demonstrate an opto‐thermo‐electro‐coupled phase transition, resulting in a large photocurrent on/off ratio (>105), high responsivity (≈500 A W−1), and well detectivity (≈3.9 × 1012 Jones), all while maintaining rapid response speeds (τr = 2 µs and τd = 5 µs) under the bias of 1 V. This electrode‐dependent super‐linear response is found to arise from the electron doping effect determined by the polarity of the Seebeck coefficient. Furthermore, the work showcases intensity‐selective near‐sensor processing and night vision pattern reorganization, even with noisy inputs. This work paves the way for developing near‐sensor devices with potential applications in medical image preprocessing, flexible electronics, and intelligent edge sensing.
Construction of COF/COF Organic S‐Scheme Heterostructure for Enhanced Overall Water Splitting
Authors: Luan Bing‐Bing , Chu Xiaoyu , Wang Ya , Qiao Xiu , Jiang Yanxia , Zhang Feng‐Ming 
Published: October 2024

AbstractCovalent organic frameworks (COFs) as a new type of photocatalysts have shown unique advantages in visible‐light‐driven hydrogen evolution, while the reported overall water‐splitting systems are still very rare among various COF‐based photocatalysts. Herein, two COFs are integrated to construct a type of organic S‐scheme heterojunction for improved overall water splitting. In this system, TpBpy‐COF and COF‐316 serve as H2‐ and O2‐evolving components, respectively, which are combined through π–π interaction between conjugated aromatic rings. By introducing ultra‐small Pt nanoparticles (NPs) into the pores of the TpBpy‐COF nanosheets (NS), the resultant COF‐316/Pt@TpBpy‐COF NS heterostructure achieves extremely high H2 and O2 evolution rates of 220.4 and 110.2 µmol g−1 h−1, respectively, under visible light irradiation (λ ≥ 420 nm). The results of transient absorption spectra (TAS) and photoelectronic measurements indicate that the organic heterojunction interface notably facilitates the separation and transfer of photogenerated electron‐hole pairs. Further, theoretical calculations and in situ experiments confirm the spontaneous formation of the COF/COF heterojunction interface and the active sites for overall water splitting.
Boosting the Quantum Efficiency of Ionic Carbon Nitrides in Photocatalytic H2O2 Evolution via Controllable n → π* Electronic Transition Activation
Authors: Tong Haijian , Odutola Jokotadeola , Song Junsheng , Peng Lu , Tkachenko Nikolai , Antonietti Markus , Pelicano Christian Mark 
Published: October 2024

AbstractHydrogen peroxide (H2O2) is a crucial chemical used in numerous industrial applications, yet its manufacturing relies on the energy‐demanding anthraquinone process. Solar‐driven synthesis of H2O2 is gaining traction as a promising research area, providing a sustainable method for its production. Herein, a controllable activation of n → π* electronic transition is presented to boost the photocatalytic H2O2 evolution in ionic carbon nitrides. This enhancement is achieved through the simultaneous introduction of structural distortions and defect sites (─C ≡ N groups and N vacancies) into the KPHI framework. The optimal catalyst (2%Ox‐KPHI) reached an apparent quantum yield of 41% at 410 nm without the need for any cocatalysts, outperforming most previously reported carbon nitride‐based photocatalysts. Extensive experimental characterizations and theoretical calculations confirm that a corrugated configuration and the presence of defects significantly broaden the light absorption profile, improve carrier separation and migration, promote O2 adsorption, and lower the energy barriers for H2O2 desorption. Transient absorption spectroscopy indicates that the enhanced photocatalytic performance of 2%Ox‐KPHI is largely attributed to the preferential migration of electrons at defect sites over extended timescales, following the diffusion of geminate carriers across the PHI sheets.
Surface‐Buckling‐Enhanced 3D Metal/Semiconductor SERS‐Active Device for Detecting Organic Chemicals
Authors: Tseng Pei‐Chieh , Bai Jing‐Ling , Hong Cheng‐Fang , Lin Chia‐Feng , Hsueh Han‐Yu 
Published: October 2024

AbstractA novel 3D metal/semiconductor nanostructured surface‐enhanced Raman scattering (SERS)‐active substrate is constructed through Ag nanoparticles decoration of flower‐like ZnO nanorods (fZnOs) on a buckled substrate. A thermal treatment is applied to induce substrate buckling and is followed by ZnO hydrothermal synthesis and Ag reduction, resulting in the production of a buckled Ag/fZnOs SERS‐active device. In addition to providing a high areal density of hotspots, surface buckling enhanced the hydrophilicity of the Ag/fZnO composite surface, which aided the adsorption of probe molecules. Buckling also facilitated the formation of eddies in the depressions on the surface, promoting the capture and accumulation of chemicals. Compared with flat Ag/fZnOs, the buckle‐enhanced SERS effects can increase their enhancement factor by over 103 times. The buckled Ag/fZnOs SERS‐active device is recyclable, stable, and inexpensive and is found to be highly sensitive for the detection of Rhodamine 6G and commercial pesticides, achieving a low detection limit of 10−9 m and a high enhancement factor of 2.43 × 108.
Thianthrenium Salts to Arynes: Base Promoted C−N Bond Construction
Authors: Lyu Jinghui , Zhang Xianghao , Luo Zijin , Jiang Yang , Xing Kexue , Zhang Guofu , Ding Chengrong 
Published: October 2024

AbstractAmines are widely found in natural products, drugs and pesticides. We have proposed a base‐promoted method for synthesizing polysubstituted aromatic amines. The reaction does not necessitate the involvement of transition metals, provided that an equivalent base is employed. In this process, aryl thianthrenium salt serves as the precursor to arynes, which are subsequently distorted by the induction effect of different substituents. The attack of amine nucleophiles results in the formation of a series of multi‐substituted aromatic amine products.
Acoustography by Beam Engineering and Acoustic Control Node: BEACON
Authors: Yu Wenjun , Zhu Haodong , Upreti Neil , Lu Brandon , Xu Xianchen , Lee Luke P , Huang Tony Jun 
Published: October 2024

AbstractAcoustic manipulation has emerged as a valuable tool for precision controls and dynamic programming of cells and particles. However, conventional acoustic manipulation approaches lack the finesse necessary to form intricate, configurable, continuous, and 3D patterning of particles. Here, this study reports acoustography by Beam Engineering and Acoustic Control Node (BEACON), which delivers intricate, configurable patterns by guiding particles along custom paths with independent phase modulation. Leveraging analytical methods of orbital angular momentum beam via iterative Wirtinger hologram algorithm, this study accomplish acoustography by facilitating orbital angular momentum traps, enabling continuous 2D and 3D acoustic manipulation of microparticles in any desired geometry, with phase modulation independent of intensity. Utilizing on‐chip acoustography, the BEACON platform markedly increases the space‐bandwidth product to 31 000 while attaining an enhanced resolution with a pixel size of ≈25 µm, surpassing the typical resolution of over 200 µm in previous holographic particle manipulation methods. The capabilities of BEACON are demonstrated in creating intricate triple helical tracing structures using microdroplets (20 µm in diameter) and those carrying DNA to validate the effectiveness of the acoustography and phase control methods. This study offers new particle manipulation opportunities, paving the way for next‐generation biomedical systems and the future of contact‐free precision manufacturing.
Quantum Dots‐caused Retinal Degeneration in Zebrafish Regulated by Ferroptosis and Mitophagy in Retinal Pigment Epithelial Cells through Inhibiting Spliceosome
Authors: Zheng Naying , Liao Tingting , Zhang Chuchu , Zhang Zheyang , Yan Sen , Xi Xiaohan , Ruan Fengkai , Yang Chunyan , Zhao Qingliang , Deng Wenbo , Huang Jialiang , Huang Zi‐Tao , Chen Zhi‐Feng , Wang Xiang , Qu Qingming , Zuo Zhenghong , He Chengyong 
Published: October 2024

AbstractQuantum dots (QDs) are widely used, but their health impact on the visual system is little known. This study aims to elucidate the effects and mechanisms of typical metallic QDs on retinas using zebrafish. Comprehensive histology, imaging, and bulk RNA sequencing reveal that InP/ZnS QDs cause retinal degeneration. Furthermore, single‐cell RNA‐seq reveals a reduction in the number of retinal pigment epithelial cells (RPE) and short‐wave cone UV photoreceptor cells (PR(UV)), accompanied by an increase in middle‐ and long‐wave cone red, green, and blue photoreceptor cells [PR(RGB)]. Mechanistically, after endocytosis by RPE, InP/ZnS QDs inhibit the expression of splicing factor prpf8, resulting in gpx4b mRNA unsplicing, which finally decrease glutathione and induce ferroptosis and mitophagy. The decrease of RPE fails to engulf the damaged outer segments of PR, possibly promoting the differentiation of PR(UV) to PR(RGB). Knockout prpf8 or gpx4b with CRISPR/Cas9 system, the retinal damage is also observed. Whereas, overexpression of prpf8 or gpx4b, or supplement of glutathione can rescue the retinal degenerative damage caused by InP/ZnS QDs. In conclusion, this study illustrates the potential health risks of InP/ZnS QDs on eye development and provides valuable insights into the underlying mechanisms of InP/ZnS QDs‐caused retinal degeneration.
Increased PRP19 in Hepatocyte Impedes B Cell Function to Promote Hepatocarcinogenesis
Authors: Liu Zhiyong , Lin Xiahui , Zhang Danying , Guo Dezhen , Tang Wenqing , Yu Xiangnan , Zhang Feng , Zhang Si , Xue Ruyi , Shen Xizhong , Dong Ling 
Published: October 2024

AbstractTumor immune microenvironment is strongly associated with the malignancy behavior of hepatocellular carcinoma (HCC). However, the immune function and regulatory mechanisms of B cells in HCC remain unclear. The expression differences between B cell high‐ and low‐infiltration HCC samples are explored to identify the key regulator. Pre‐mRNA processing factor 19 (PRP19) expression is increased in B cell low‐infiltrated tissues and negatively correlated with the B cell marker, CD20. Inhibition of PRP19 expression promoted B cell infiltration in tumor tissue and impeded HCC growth. Mechanically, the co‐immunoprecipitation (Co‐IP) assay revealed that PRP19 interacts with DEAD‐box helicase 5 (DDX5), leading to ubiquitination and degradation of the DDX5 protein. The attenuated DDX5 impairs CXCL12 mRNA stability to suppress B cell recruitment and plasma cell differentiation via CXCL12/CXCR4 axis. Moreover, the adoptive transfer of CXCR4+ B cells combined with CXCL12 treatment in mice models effectively inhibits HCC development by reshaping the immune response. The expression of PRP19, DDX5, and infiltrating B cells are recognized as clinical prognosis indicators for HCC patients. Overall, this study provides valuable insights into the clinical benefits of HCC immunotherapy by targeting PRP19 and modulating tumor‐infiltrating B cell immune function.
Neuropeptide Precursor VGF Promotes Liver Metastatic Colonization of Gαq Mutant Uveal Melanoma by Facilitating Tumor Microenvironment via Paracrine Loops
Authors: Ouyang Shumin , Shi Shuo , Ding Wen , Ge Yang , Su Yingxue , Mo Jianshan , Peng Keren , Zhang Qiyi , Liu Guopin , Xiao Wei , Yue Peibin , Lu Jinjian , Wang Yandong , Xiong Xiaofeng , Zhang Xiaolei 
Published: October 2024

AbstractUveal melanoma (UM), the predominant primary ocular malignancy, often progresses to liver metastasis with limited therapeutic options. The interplay of the tumor microenvironment, encompassing secreted soluble factors, plays a crucial role in facilitating liver metastasis. In this study, the role is elucidated of the neural growth factor‐inducible gene (VGF), a secreted neuropeptide precursor, in Gαq mutant UM. Employing a multiomics approach, encompassing transcriptomic and secretomic analyses, the intricate involvement of VGF in UM progression is unveiled. VGF is upregulated in Gαq mutant UM cells and associated with poor prognosis of UM patients. Targeting VGF significantly suppressed the growth of UM in vitro and in vivo. Further evidence shows that VGF is regulated by Gαq through MAPK/CREB pathway. Mechanistically, CREB modulates VGF expression by directly binding to consensus DNA response elements in the promoters of the VGF gene. Combined inhibition of Gαq and MEK remarkably reduces tumor burden in the UM xenograft model. Notably, VGF triggers liver metastatic colonization of UM and activates the fibrosis of hepatic stellate cells (HSCs), creating a favorable microenvironment, through an autocrine and paracrine loop. Furthermore, VGF directly binds to TGFBR2 and regulates TGF‐β‐SMAD signaling pathway, thereby regulating genes associated with endothelial‐mesenchymal transition (EMT) to promote metastasis. Taken together, these findings identify VGF as a pivotal driver in the progression and metastasis of Gαq mutant UM and confers a promising therapeutic target and strategy for UM patients.
TIL Therapy in Lung Cancer: Current Progress and Perspectives
Authors: Hu Weilei , Bian Yifei , Ji Hongbin 
Published: October 2024

AbstractLung cancer remains the most prevalent malignant tumor worldwide and is the leading cause of cancer‐related mortality. Although immune checkpoint blockade has revolutionized the treatment of advanced lung cancer, many patients still do not respond well, often due to the lack of functional T cell infiltration. Adoptive cell therapy (ACT) using expanded immune cells has emerged as an important therapeutic modality. Tumor‐infiltrating lymphocytes (TIL) therapy is one form of ACT involving the administration of expanded and activated autologous T cells derived from surgically resected cancer tissues and reinfusion into patients and holds great therapeutic potential for lung cancer. In this review, TIL therapy is introduced and its suitability for lung cancer is discussed. Then its historical and clinical developments are summarized, and the methods developed up‐to‐date to identify tumor‐recognizing TILs and optimize TIL composition. Some perspectives toward future TIL therapy for lung cancer are also provided.
Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations
Authors: Vogler Monika , Steensen Simon Krarup , Ramírez Francisco Fernando , Merker Leon , Busk Jonas , Carlsson Johan Martin , Rieger Laura Hannemose , Zhang Bojing , Liot François , Pizzi Giovanni , Hanke Felix , Flores Eibar , Hajiyani Hamidreza , Fuchs Stefan , Sanin Alexey , Gaberšček Miran , Castelli Ivano Eligio , Clark Simon , Vegge Tejs , Bhowmik Arghya , Stein Helge Sören 
Published: October 2024

AbstractNon‐trivial relationships link individual materials properties to device‐level performance. Device optimization therefore calls for new automation approaches beyond the laboratory bench with tight integration of different research methods. This study demonstrates a Materials Acceleration Platform (MAP) in the field of battery research based on the problem‐agnostic Fast INtention‐Agnostic LEarning Server (FINALES) framework, which integrates simulations and physical experiments while leaving the active control of the hardware and software resources executing experiments or simulations with the partners running the respective units. This decentralization of control is a distinctive feature of MAPs using the FINALES framework. The connected capabilities entail the formulation and characterization of electrolytes, cell assembly and testing, early lifetime prediction, and ontology‐mapped data storage provided by institutions distributed across Europe. The infrastructure is used to optimize the ionic conductivity of electrolytes and the End Of Life (EOL) of lithium‐ion coin cells by varying the electrolyte formulation. Trends in ionic conductivity are rediscovered and the effect of the electrolyte formulation on the EOL is investigated. Further, the capability of this MAP to bridge diverse research modalities, scales, and institutions enabling system‐level investigations under asynchronous conditions while handling concurrent workflows on the material‐ and system‐level is shown, demonstrating true intention‐agnosticism.
Interaction of drought stress and potassium deficiency on soybean vigor and leaf temperature
Authors: Ortel C. C. , Roberts T. L. , Purcell L. C. , Ross W. J. , Hoegenauer K. A. , Followell C. A. , Pessotto M. Victorio 
Published: October 2024

AbstractPotassium (K) nutrition and drought stress affect soybean (Glycine max (L.) Merr.) vigor and productivity through the combined impacts on water regulation. A study was conducted with soybean grown in 18.9‐L buckets under a rain out shelter to determine how the interaction between these crop stresses at various growth stages influences the crop leaf K concentration, biomass production, total K uptake (TKU), grain yield, and temperature of the uppermost fully expanded trifoliate. Treatments included soybean grown with and without preplant fertilizer K, soil moisture at 50% (drought) or 80% (well‐watered) field capacity, imposed drought during vegetative growth (V3–V7), flowering (R1–R3), pod development (R4–early R6), and seed development (R5–mid‐R6) on two different silt loam soils. Widespread K deficiencies were observed during the study across all treatments. Drought stress significantly (p < 0.05) reduced the TKU, aboveground biomass production, and grain yield. The crop growth stage when drought stress was imposed was a significant factor, with greater reductions in plant response parameters when stress was imposed during reproductive growth. Preplant fertilizer K increased trifoliolate K concentrations and TKU in drought conditions, but did not increase the grain yield of well‐watered soybean. Leaf temperature increased when under drought stress compared to well‐watered soybean (p < 0.0001) but the impact of crop K nutrition status on leaf temperature was inconclusive because of widespread K deficiencies. Results emphasize the complexity of the interactions between K nutrition and drought stress in soybean, as drought stress impeded K uptake, exacerbated K deficiencies, and limited yield.
Machine learning‐aided process design using limited experimental data: A microwave‐assisted ammonia synthesis case study
Authors: Masud Md Abdullah Al , Araia Alazar , Wang Yuxin , Hu Jianli , Tian Yuhe 
Published: October 2024

AbstractAn open research question lies in how machine learning (ML) can accelerate the design optimization of chemical processes which are at very early experimental development stage with limited data availability. As an example, this article investigates the design of an intensified microwave‐assisted ammonia production reactor with 46 experimental data. We present an integrated approach of neural networks and synthetic minority oversampling technique to quantify the nonlinear input‐output relationships of this process. For ammonia concentration predictions at discrete operating conditions, the approach demonstrates 96.1% average accuracy over other ML methods (e.g., support vector regression 84.2%). The approach has also been applied for continuous optimization, identifying the optimal synthesis conditions at 597.37 K, 0.55MPa with feed flow rate of 1.67 ×10−3 m3/s kg and hydrogen to nitrogen ratio of 1 which is consistent with experimental observations. The data‐driven model enables to integrate this reactor with existing ammonia production infrastructure and benchmark with conventional techniques.
Property of waste bottle‐grade polyethylene terephthalate restored by Ti‐based catalysts
Authors: Wang Nan , Li Yi , Cheng Xiujie , Zhang Ruiqi , Zhou Qing , Xin Jiayu , Yan Dongxia , Xu Junli , Lu Xingmei 
Published: October 2024

AbstractThis study employed titanium catalysts to degrade low‐quality PET (polyethylene terephthalate) bottle flakes and subsequently re‐polymerized the degradation solution to investigate whether the titanium catalyst could restore the physical and chemical properties of the degraded PET bottle flakes. The reaction process of property restoration was characterized using GPC, DSC, ICP, NMR, and so forth. The mechanism of titanium catalyst‐catalyzed PET polymerization was explored through simulation calculations. The results indicate that the waste PET bottle flakes have been restored to the standard of first‐grade PET bottle flakes under the degradation and re‐polymerization processes with the aid of dibutyl ethylene glycol titanate catalysts. The Ti ion in the recycled PET is stable and the metal ion leached from the restored PET in the strong acid environment meets food‐grade safety requirements. This study is expected to provide a new way for recycling waste PET bottle flakes.
Development of thermomorphic ionic liquids derived from organophosphorus acids for homogeneous extraction processes
Authors: Zhu Xiaorui , Zhu Lingyu , Wang Jianli , Wang Jiayuan 
Published: October 2024

AbstractThe objective of this study is to develop ionic liquids (ILs) derived from organophosphorus acids, featuring thermomorphic phase behavior tailored for homogeneous liquid–liquid extraction applications, addressing the challenges posed by the high viscosity of ILs. The novelty of our work includes a logP‐based guideline for designing thermomorphic water/organophosphorus IL solvent systems and a proof‐of‐concept study on homogeneous liquid–liquid extraction applications. Specifically, we reported a series of novel ILs exhibiting lower critical solution temperature behavior in aqueous solutions by exploring various combinations of tetraalkylammonium cations with organophosphorus acid‐based anions. Practical applications utilizing this type of thermomorphic solvent system for extracting metal ions and acids were demonstrated. The benefits of homogeneous extraction, as well as the limitations stemming from the salting‐out effect, were presented and discussed.
Continuous Flow Synthesis of Five‐Membered N‐Heterocycles by Ynone System
Authors: Duraisamy Tamilselvan , Thavasianandam Seenivasan Vijay , Wang Li‐Yu , Govindan Karthick , Ganesan Balaji , Kandasamy Mohanraj , Chiou Yu‐Ting , Lin Wei‐Yu 
Published: October 2024

AbstractIn this study, we devised a practical and effective method for synthesizing ynones from terminal alkynes and anhydride utilizing a continuous flow apparatus at ambient temperature. Moreover, we coupled the ynones with hydrazines, and hydroxylamine hydrochloride to synthesize pyrazole and isoxazole derivatives. This protocol's unique characteristics include a metal‐free approach, mild reaction conditions, a short residence time, and a wide range of functional group tolerance. Sustainable strategies are most useful and affordable than conventional benchtop approaches.