bluuebunny/crossref_metadata_2025_split huggingface dataset:
MGGTSP‐CAT: Integrating Temporal Convolution and LSTM for Multi‐Scale Greenhouse Gas Time Series Prediction via Cross‐Attention Mechanism
Authors: Zhong Changbin , Zheng Zhihang 
Published: August 2024

AbstractGreenhouse gas‐induced global warming represents one of the most pressing environmental challenges currently faced, with methane, a primary constituent of greenhouse gases, exerting a more potent greenhouse effect than carbon dioxide. Precise prediction of methane concentrations is therefore of paramount importance. Owing to the complex interplay of factors affecting methane levels, existing forecasting methodologies often fall short in terms of accuracy and long‐term applicability. In response, this article leverages a multiscale time series to propose an attention‐based deep learning model. This approach synthesizes data across varied time spans, enhancing the extraction of periodic patterns and inter‐scale feature correlations. The model employs a hybrid framework and attention mechanisms to adaptively discern both short‐ and long‐term dependencies, as well as spatiotemporal correlations, capturing the intricate coupling of change mechanisms in the environment. Focusing on the Yanqing district of Beijing, a dataset integrating multiple features is developed and conduct forecasts 48 h in advance for both surface methane concentrations and the average molar fraction of total methane columns, comparing our model against several benchmarks. The model demonstrates superior performance, achieving an RMSE of 5.6123, MAE of 3.4959, and an R2 of 0.9148, which significantly exceeded the accuracy and generalizability of all baseline models.
CLK2 Condensates Reorganize Nuclear Speckles and Induce Intron Retention
Authors: Wang Bing , Li Jing , Song Yanyang , Qin Xuhui , Lu Xia , Huang Wei , Peng Chentai , Wei Jinxia , Huang Donghui , Wang Wei 
Published: August 2024

AbstractIntron retention (IR) constitutes a less explored form of alternative splicing, wherein introns are retained within mature mRNA transcripts. This investigation demonstrates that the cell division cycle (CDC)‐like kinase 2 (CLK2) undergoes liquid–liquid phase separation (LLPS) within nuclear speckles in response to heat shock (HS). The formation of CLK2 condensates depends on the intrinsically disordered region (IDR) located within the N‐terminal amino acids 1‐148. Phosphorylation at residue T343 sustains CLK2 kinase activity and promotes overall autophosphorylation, which inhibits the LLPS activity of the IDR. These CLK2 condensates initiate the reorganization of nuclear speckles, transforming them into larger, rounded structures. Moreover, these condensates facilitate the recruitment of splicing factors into these compartments, restricting their access to mRNA for intron splicing and promoting the IR. The retained introns lead to the sequestration of transcripts within the nucleus. These findings extend to the realm of glioma stem cells (GSCs), where a physiological state mirroring HS stress inhibits T343 autophosphorylation, thereby inducing the formation of CLK2 condensates and subsequent IR. Notably, expressing the CLK2 condensates hampers the maintenance of GSCs. In conclusion, this research unveils a mechanism by which IR is propelled by CLK2 condensates, shedding light on its role in coping with cellular stress.
Astrocytes in the Ventral Hippocampus Bidirectionally Regulate Innate and Stress‐Induced Anxiety‐Like Behaviors in Male Mice
Authors: Li Jing‐Ting , Jin Shi‐Yang , Hu Jian , Xu Ru‐Xia , Xu Jun‐Nan , Li Zi‐Ming , Wang Meng‐Ling , Fu Yi‐Wen , Liao Shi‐Han , Li Xiao‐Wen , Chen Yi‐Hua , Gao Tian‐Ming , Yang Jian‐Ming 
Published: August 2024

AbstractThe mechanisms of anxiety disorders, the most common mental illness, remain incompletely characterized. The ventral hippocampus (vHPC) is critical for the expression of anxiety. However, current studies primarily focus on vHPC neurons, leaving the role for vHPC astrocytes in anxiety largely unexplored. Here, genetically encoded Ca2+ indicator GCaMP6m and in vivo fiber photometry calcium imaging are used to label vHPC astrocytes and monitor their activity, respectively, genetic and chemogenetic approaches to inhibit and activate vHPC astrocytes, respectively, patch‐clamp recordings to measure glutamate currents, and behavioral assays to assess anxiety‐like behaviors. It is found that vHPC astrocytic activity is increased in anxiogenic environments and by 3‐d subacute restraint stress (SRS), a well‐validated mouse model of anxiety disorders. Genetic inhibition of vHPC astrocytes exerts anxiolytic effects on both innate and SRS‐induced anxiety‐related behaviors, whereas hM3Dq‐mediated chemogenetic or SRS‐induced activation of vHPC astrocytes enhances anxiety‐like behaviors, which are reversed by intra‐vHPC application of the ionotropic glutamate N‐methyl‐d‐aspartate receptor antagonists. Furthermore, intra‐vHPC or systemic application of the N‐methyl‐d‐aspartate receptor antagonist memantine, a U.S. FDA‐approved drug for Alzheimer's disease, fully rescues SRS‐induced anxiety‐like behaviors. The findings highlight vHPC astrocytes as critical regulators of stress and anxiety and as potential therapeutic targets for anxiety and anxiety‐related disorders.
Histones Methyltransferase NSD3 Inhibits Lung Adenocarcinoma Glycolysis Through Interacting with PPP1CB to Decrease STAT3 Signaling Pathway
Authors: Zhou Yanling , Peng Xintong , Fang Cheng , Peng Xin , Tang Jianing , Wang Zuli , Long Yao , Chen Jielin , Peng Yuanhao , Zhang Zewen , Zhou Yanmin , Tang Jun , Liao Jingzhong , Xiao Desheng , Tao Yongguang , Shi Ying , Liu Shuang 
Published: August 2024

AbstractHistones methyltransferase NSD3 targeting H3K36 is frequently disordered and mutant in various cancers, while the function of NSD3 during cancer initiation and progression remains unclear. In this study, it is proved that downregulated level of NSD3 is linked to clinical features and poor survival in lung adenocarcinoma. In vivo, NSD3 inhibited the proliferation, immigration, and invasion ability of lung adenocarcinoma. Meanwhile, NSD3 suppressed glycolysis by inhibiting HK2 translation, transcription, glucose uptake, and lactate production in lung adenocarcinoma. Mechanistically, as an intermediary, NSD3 binds to PPP1CB and p‐STAT3 in protein levels, thus forming a trimer to dephosphorylate the level of p‐STAT3 by PPP1CB, leading to the suppression of HK2 transcription. Interestingly, the phosphorylation function of PPP1CB is related to the concentration of carbon dioxide and pH value in the culture environment. Together, this study revealed the critical non‐epigenetic role of NSD3 in the regulation of STAT3‐dependent glycolysis, providing a piece of compelling evidence for targeting the NSD3/PPP1CB/p‐STAT3 in lung adenocarcinoma.
Multifaceted Proteome Analysis at Solubility, Redox, and Expression Dimensions for Target Identification
Authors: Saei Amir A. , Lundin Albin , Lyu Hezheng , Gharibi Hassan , Luo Huqiao , Teppo Jaakko , Zhang Xuepei , Gaetani Massimiliano , Végvári Ákos , Holmdahl Rikard , Gygi Steven P. , Zubarev Roman A. 
Published: August 2024

AbstractMultifaceted interrogation of the proteome deepens the system‐wide understanding of biological systems; however, mapping the redox changes in the proteome has so far been significantly more challenging than expression and solubility/stability analyses. Here, the first high‐throughput redox proteomics approach integrated with expression analysis (REX) is devised and combined with the Proteome Integral Solubility Alteration (PISA) assay. The whole PISA‐REX experiment with up to four biological replicates can be multiplexed into a single tandem mass tag TMTpro set. For benchmarking this compact tool, HCT116 cells treated with auranofin are analyzed, showing great improvement compared with previous studies. PISA‐REX is then applied to study proteome remodeling upon stimulation of human monocytes by interferon α (IFN‐α). Applying this tool to study the proteome changes in plasmacytoid dendritic cells (pDCs) isolated from wild‐type versus Ncf1‐mutant mice treated with interferon α, shows that NCF1 deficiency enhances the STAT1 pathway and modulates the expression, solubility, and redox state of interferon‐induced proteins. Providing comprehensive multifaceted information on the proteome, the compact PISA‐REX has the potential to become an industry standard in proteomics and to open new windows into the biology of health and disease.
Central Role of Hypothalamic Circuits for Acupuncture's Anti‐Parkinsonian Effects
Authors: Oh Ju‐Young , Lee Hyowon , Jang Sun‐Young , Kim Hyunjin , Park Geunhong , Serikov Almas , Jang Jae‐Hwan , Kim Junyeop , Yang Seulkee , Sa Moonsun , Lee Sung Eun , Han Young‐Eun , Hwang Tae‐Yeon , Jung Sharon Jiyoon , Kim Hee Young , Lee Seung Eun , Oh Soo‐Jin , Kim Jeongjin , Kim Jeongyeon , Kim Jongpil , McHugh Thomas J. , Lee C. Justin , Nam Min‐Ho , Park Hi‐Joon 
Published: August 2024

AbstractDespite clinical data stretching over millennia, the neurobiological basis of the effectiveness of acupuncture in treating diseases of the central nervous system has remained elusive. Here, using an established model of acupuncture treatment in Parkinson's disease (PD) model mice, we show that peripheral acupuncture stimulation activates hypothalamic melanin‐concentrating hormone (MCH) neurons via nerve conduction. We further identify two separate neural pathways originating from anatomically and electrophysiologically distinct MCH neuronal subpopulations, projecting to the substantia nigra and hippocampus, respectively. Through chemogenetic manipulation specifically targeting these MCH projections, their respective roles in mediating the acupuncture‐induced motor recovery and memory improvements following PD onset are demonstrated, as well as the underlying mechanisms mediating recovery from dopaminergic neurodegeneration, reactive gliosis, and impaired hippocampal synaptic plasticity. Collectively, these MCH neurons constitute not only a circuit‐based explanation for the therapeutic effectiveness of traditional acupuncture, but also a potential cellular target for treating both motor and non‐motor PD symptoms.
Discrete Illumination‐Based Compressed Ultrafast Photography for High‐Fidelity Dynamic Imaging
Authors: Yao Jiali , Guo Zihan , Qi Dalong , Xu Shiyu , Lin Wenzhang , Cheng Long , Jin Chengzhi , He Yu , Xu Ning , Pan Zhen , Mao Jiayi , Yao Yunhua , Deng Lianzhong , Shen Yuecheng , Zhao Heng , Sun Zhenrong , Zhang Shian 
Published: August 2024

AbstractCompressed ultrafast photography (CUP) can capture irreversible or difficult‐to‐repeat dynamic scenes at the imaging speed of more than one billion frames per second, which is obtained by compressive sensing‐based image reconstruction from a compressed 2D image through the discretization of detector pixels. However, an excessively high data compression ratio in CUP severely degrades the image reconstruction quality, thereby restricting its ability to observe ultrafast dynamic scenes with complex spatial structures. To address this issue, a discrete illumination‐based CUP (DI‐CUP) with high fidelity is reported. In DI‐CUP, the dynamic scenes are loaded into an ultrashort laser pulse train with controllable sub‐pulse number and time interval, thus the data compression ratio, as well as the overlap between adjacent frames, is greatly decreased and flexibly controlled through the discretization of dynamic scenes based on laser pulse train illumination, and high‐fidelity image reconstruction can be realized within the same observation time window. Furthermore, the superior performance of DI‐CUP is verified by observing femtosecond laser‐induced ablation dynamics and plasma channel evolution, which are hardly resolved in the spatial structures using conventional CUP. It is anticipated that DI‐CUP will be widely and dependably used in the real‐time observations of various ultrafast dynamics.
Harnessing Metal‐Organic Frameworks for NIR‐II Light‐Driven Multiphoton Photocatalytic Water Splitting in Hydrogen Therapy
Authors: Lu Xin , Yu Xinlei , Li Bo , Sun Xianshun , Cheng Longjiu , Kai YuanZhong , Zhou Hongping , Tian Yupeng , Li Dandan 
Published: August 2024

AbstractThe construction of near‐infrared (NIR) light‐activated hydrogen‐producing materials that enable the controlled generation and high‐concentration release of hydrogen molecules in deep tumor tissues and enhance the effects of hydrogen therapy holds significant scientific importance. To address the key technical challenge of low‐efficiency oxidation–reduction reactions for narrow‐bandgap photocatalytic materials, this work proposes an innovative approach for the controllable fabrication of multiphoton photocatalytic materials to overcome the limitations imposed by traditional near‐infrared photocatalysts with “narrow‐bandgap” constraints. Herein, an NIR‐responsive multiphoton photocatalyst, ZrTc‐Co, is developed by utilizing a post‐synthetic coordination modification strategy to introduce hydrogenation active site CoII into a multiphoton responsive MOF (ZrTc). The results reveal that with the introduction of the CoII site, electron–hole recombination can be efficiently suppressed, thus promoting the efficiency of hydrogen evolution reaction. In addition, the integration of CoII can effectively enhance charge transfer and improve static hyperpolarizability, which endows ZrTc‐Co with excellent multiphoton absorption. Moreover, hyaluronic acid modification endows ZrTc‐Co with cancer cell‐specific targeting characteristics, laying the foundation for tumor‐specific elimination. Collectively, the proposed findings present a strategy for constructing NIR‐II light‐mediated hydrogen therapeutic agents for deep tumor elimination.
Cholesterol Depletion‐Enhanced Ferroptosis and Immunotherapy via Engineered Nanozyme
Authors: Bai Tingjie , Xue Panpan , Shao Sijie , Yan Shuangqian , Zeng Xuemei 
Published: August 2024

AbstractFerroptosis, an iron‐ and reactive oxygen species (ROS)‐dependent cell death, holds significant promise for tumor therapy due to its ability to induce lipid peroxidation (LPO) and trigger antitumor immune responses. However, elevated cholesterol levels in cancer cells impede ferroptosis and compromise immune function. Here, a novel nanozyme, Fe‐MOF/CP, composed of iron metal‐organic framework (Fe‐MOF) nanoparticles loaded with cholesterol oxidase and PEGylation for integrated ferroptosis and immunotherapy is introduced. Fe‐MOF/CP depletes cholesterol and generates hydrogen peroxide, enhancing ROS levels and inducing LPO, thereby promoting ferroptosis. This process disrupts lipid raft integrity and downregulates glutathione peroxidase 4 and ferroptosis suppressor protein 1, further facilitating ferroptosis. Concurrently, Fe‐MOF/CP augments immunogenic cell death, reduces programmed death‐ligand 1 expression, and revitalizes exhausted CD8+ T cells. In vivo studies demonstrate significant therapeutic efficacy in abscopal, metastasis, and recurrent tumor models, highlighting the robust antitumor immune responses elicited by Fe‐MOF/CP. This study underscores the potential of Fe‐MOF/CP as a multifunctional therapeutic agent that combines ferroptosis and immunotherapy, offering a promising strategy for effective and durable cancer treatment.
Zr‐MOF Carrier‐Enhanced Dual‐Mode Biosensing Platforms for Rapid and Sensitive Diagnosis of Mpox
Authors: Yang Huiyi , Zheng Judun , Wang Wei , Lin Jingyan , Wang Jingru , Liu Lunjing , Wu Wenjie , Zhang Chengli , Zhang Mingxia , Fu Yu , Yang Bin , Liao Yuhui 
Published: August 2024

AbstractDual‐mode readout platforms with colorimetric and electrochemiluminescence (ECL) signal enhancement are proposed for the ultrasensitive and flexible detection of the monkeypox virus (MPXV) in different scenes. A new nanotag, Ru@U6‐Ru/Pt NPs is constructed for dual‐mode platforms by integrating double‐layered ECL luminophores and the nanozyme using Zr‐MOF (UiO‐66‐NH2) as the carrier, which not only generates enhanced ECL and colorimetric signals but also provide greater stability than that of commonly used nanotags. Dual‐mode platforms are used within 15 min from the “sample in” to the “result out” steps, without nucleic acid amplification. The colorimetric mode allows the screening of MPXV with the visual limit of detection (vLOD) of 0.1 pM (6 × 108 copies µL−1) and the ECL mode supports quantitative detection of MPXV with an LOD as low as 10 aM (6 copies·µL−1), resulting in a broad sensing range of 60 to 3 × 1011 copies·µL−1 (10 orders of magnitude). Validation is conducted using 50 clinical samples, which is 100% concordant to those of quantitative polymerase chain reaction (qPCR), indicating that Ru@U6‐Ru/Pt NPs‐based dual‐mode sensing platforms showed great promise as rapid, sensitive, and accurate tools for diagnosis of the nucleic acid of MPXV and other infectious pathogens.
PdMoPtCoNi High Entropy Nanoalloy with d Electron Self‐Complementation‐Induced Multisite Synergistic Effect for Efficient Nanozyme Catalysis
Authors: Yang Xuewei , Feng Jianxing , Li Yuechun , Zhu Wenxin , Pan Yifan , Han Yaru , Li Zhonghong , Xie Haijiao , Wang Jianlong , Ping Jianfeng , Tang Wenzhi 
Published: August 2024

AbstractEngineering multimetallic nanocatalysts with the entropy‐mediated strategy to reduce reaction activation energy is regarded as an innovative and effective approach to facilitate efficient heterogeneous catalysis. Accordingly, conformational entropy‐driven high‐entropy alloys (HEAs) are emerging as a promising candidate to settle the catalytic efficiency limitations of nanozymes, attributed to their versatile active site compositions and synergistic effects. As proof of the high‐entropy nanozymes (HEzymes) concept, elaborate PdMoPtCoNi HEA nanowires (NWs) with abundant active sites and tuned electronic structures, exhibiting peroxidase‐mimicking activity comparable to that of natural horseradish peroxidase are reported. Density functional theory calculations demonstrate that the enhanced electron abundance of HEA NWs near the Fermi level (EF) is facilitated via the self‐complementation effect among the diverse transition metal sites, thereby boosting the electron transfer efficiency at the catalytic interface through the cocktail effect. Subsequently, the HEzymes are integrated with a portable electronic device that utilizes Internet of Things‐driven signal conversion and wireless transmission functions for point‐of‐care diagnosis to validate their applicability in digital biosensing of urinary biomarkers. The proposed HEzymes underscore significant potential in enhancing nanozymes catalysis through tunable electronic structures and synergistic effects, paving the way for reformative advancements in nano‐bio analysis.
Outstanding CO2 Photoreduction in Single‐Atom Thulium Modified Carbon Nitride
Authors: Ding Cheng , Yang Liuqing , Lu Xinxin , Chi Haoqiang , Yang Yong , Yuan Junyang , Wang Xiaoyong , Wu Xinglong , Zhang Yongcai , Zhou Yong , Zou Zhigang 
Published: August 2024

AbstractCO2 reduction photocatalysts are favorable for obtaining renewable energy. Enriched active sites and effective photogenerated‐carriers separation are keys for improving CO2 photo‐reduction. A thulium (Tm) single atom tailoring strategy introducing carbon vacancies in porous tubular graphitic carbon nitride (g‐C3N4) surpassing the ever‐reported g‐C3N4 based photocatalysts, with 199.47 µmol g−1 h−1 CO yield, 96.8% CO selectivity, 0.84% apparent quantum efficiency and excellent photocatalytic stability, is implemented in this work. Results revealed that in‐plane Tm sites and interlayer‐bridged Tm‐N charge transfer channels significantly enhanced the aggregation/transfer of photogenerated electrons thus promoting CO2 adsorption/activation and contributing to *COOH intermediates formation. Meanwhile, Tm atoms and carbon vacancies both benefit for rich active sites and enhanced photogenerated‐charge separation, thus optimizing reaction pathway and leading to excellent CO2 photo‐reduction. This work not only provides guidelines for CO2 photo‐reduction catalysts design but also offers mechanistic insights into single‐atom based photocatalysts for solar fuel production.
Metasurface‐Embedded Contact Lenses for Holographic Light Projection
Authors: Ko Jiwoo , Kim Gyeongtae , Kim Inki , Hwang Soon Hyoung , Jeon Sohee , Ahn Junseong , Jeong Yongrok , Ha Ji‐Hwan , Heo Hyeonsu , Jeong Jun‐Ho , Park Inkyu , Rho Junsuk 
Published: August 2024

AbstractContact lenses have been instrumental in vision correction and are expected to be utilized in augmented reality (AR) displays through the integration of electronic and optical components. In optics, metasurfaces, an array of sub‐wavelength nanostructures, have offered optical multifunctionality in an ultra‐compact form factor, facilitating integration into various imaging, and display systems. However, transferring metasurfaces onto contact lenses remains challenging due to the non‐biocompatible materials of extant imprinting methods and the structural instability caused by the swelling and shrinking of the wetted surface. Here, a biocompatible method is presented to transfer metasurfaces onto contact lenses using hyaluronic acid (HA) as a soft mold and to allow for holographic light projection. A high‐efficiency metahologram is obtained with an all‐metallic 3D meta‐atom enhanced by the anisotropy of a rectangular structure, and a reflective background metal layer. A corrugated metal layer on the HA mold is supported with a SiO2 capping layer, to avoid unwanted wrinkles and to ensure structural stability when transferred to the surface of pliable and wettable contact lenses. Biocompatible method of transferring metasurfaces onto contact lenses promises the integration of diverse optical components, including holograms, lenses, gratings and more, to advance the visual experience for AR displays and human‐computer interfaces.
Organic Multibit Phototransistor Memories with High External Quantum Efficiency
Authors: Bai Shaoling , Haase Katherina , Hambsch Mike , Mannsfeld Stefan C. B. 
Published: August 2024

AbstractThis work reports phototransistor memory devices fabricated using organic planar heterojunctions of two organic semiconductor materials, namely poly(2,5‐bis(2‐octyldodecyl)−3,6‐di(pyridin‐2‐yl)‐pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione‐alt‐2,2′‐bithiophene) (PDBPyBT) and 2,9‐didecyldinaphtho[2,3‐b:2′,3′‐f]thieno[3,2‐b]thiophene (C10‐DNTT). The results of the study show a broad spectral sensitivity, ranging from UV light to red light. It is found that both organic layers are photoactive but also both play a role in the device's charge‐trapping properties: the PDBPyBT layer is effective in trapping holes while the C10‐DNTT layer traps electrons. The thickness of the PDBPyBT layer is identified as a crucial factor affecting the device performance, with the devices featuring a ≈20 nm thick PDBPyBT layer exhibiting a light‐induced hysteresis of ≈40 V. While the devices with a “ribbon” structured PDBPyBT layer demonstrate a linear response to the increasing light exposures duration. Furthermore, a new method is introduced to evaluate the external quantum efficiency (EQE) of the phototransistor memories in order to provide a robust metric that allows a benchmarking comparison of such devices' performance. When assessed using this EQE metric, these devices exhibit exceptionally high efficiency of trapping photogenerated charges compared to other reports. This study also demonstrates that the devices possess multibit programming capabilities, suggesting their potential use in dosimetry applications.