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The KDM4B–CCAR1–MED1 axis is a critical regulator of osteoclast differentiation and bone homeostasis

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Bone Research 2021年第3期9卷 323-335页

作者： sun-ju yi You-Jee Jang Hye-jung Kim Kyubin Lee Hyerim Lee Yeojin Kim junil Kim Seon Young Hwang Jin Sook Song Hitoshi Okada Jae-Il Park Kyuho Kang Kyunghwan Kim Department of Biological Sciences and Biotechnology Chungbuk National UniversityCheongjuChungbukRepublic of Korea Korea Basic Science Institute Gwangju Center at Chonnam National UniversityGwangjuRepublic of Korea New Drug Development Center KBIO Osong Medical Innovation FoundationCheongjuChungbukRepublic of Korea Data Convergence Drug Research Center Therapeutics&Biotechnology DivisionKorea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Department of Biochemistry Kindai University Faculty of MedicineOsakasayamaOsakaJapan

Bone undergoes a constant and continuous remodeling process that is tightly regulated by the coordinated and sequential actions of bone-resorbing osteoclasts and bone-forming *** studies have shown that histone demethylases are implicated in osteoblastogenesis;however,little is known about the role of histone demethylases in osteoclast ***,we identified KDM4B as an epigenetic regulator of osteoclast *** of KDM4B significantly blocked the formation of tartrate-resistant acid phosphatase-positive multinucleated *** with myeloid-specific conditional knockout of KDM4B showed an osteopetrotic phenotype due to osteoclast *** analysis revealed that KDM4B physically and functionally associates with CCAR1 and MED1 in a *** genome-wide chromatin immunoprecipitation(ChIP)-sequencing,we revealed that the KDM4B–CCAR1–MED1 complex is localized to the promoters of several osteoclast-related genes upon receptor activator of NF-κB ligand *** demonstrated that the KDM4B–CCAR1–MED1 signaling axis induces changes in chromatin structure(euchromatinization)near the promoters of osteoclast-related genes through H3K9 demethylation,leading to NF-κB p65 recruitment via a direct interaction between KDM4B and ***,small molecule inhibition of KDM4B activity impeded bone loss in an ovariectomized mouse *** together,our findings establish KDM4B as a critical regulator of osteoclastogenesis,providing a potential therapeutic target for osteoporosis.

关键词： formation. critical MED1

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Malicious Document Detection Based on GGE Visualization

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Computers, Materials & Continua 2025年第1期82卷 1233-1254页

作者： Youhe Wang yi sun Yujie Li Chuanqi Zhou Henan Province Key Laboratory of Information Security Information Engineering UniversityZhengzhou450000China

With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers has become particularly ***,detection methods based on document structure and behavioral features encounter challenges in feature engineering,these methods not only have limited accuracy,but also consume large resources,and usually can only detect documents in specific formats,which lacks versatility and *** address such problems,this paper proposes a novel malicious document detection method-visualizing documents as GGE images(Grayscale,Grayscale matrix,Entropy).The GGE method visualizes the original byte sequence of the malicious document as a grayscale image,the information entropy sequence of the document as an entropy image,and at the same time,the grayscale level co-occurrence matrix and the texture and spatial information stored in it are converted into grayscale matrix image,and fuses the three types of images to get the GGE color *** Convolutional Block Attention Module-EfficientNet-B0(CBAM-EfficientNet-B0)model is then used for classification,combining transfer learning and applying the pre-trained model on the ImageNet dataset to the feature extraction process of GGE *** shown in the experimental results,the GGE method has superior performance compared with other methods,which is suitable for detecting malicious documents in different formats,and achieves an accuracy of 99.44%and 97.39%on Portable Document Format(PDF)and office datasets,respectively,and consumes less time during the detection process,which can be effectively applied to the task of detecting malicious documents in real-time.

关键词： Malicious document visualization EfficientNet-B0 convolutional block attention module GGE image

Recent advances of metal vacancies in energy and environmental catalysis:Synthesis,characterization,and roles

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Green Energy & Environment 2025年第1期10卷 84-108页

作者： Long sun Shunzheng Zhao Sirui Gao Ronghui Zhu yiran Tan Xiaolong Tang Honghong yi School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing100083China Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants Beijing100083China

With the ongoing depletion of fossil fuels,energy and environmental issues have become increasingly critical,necessitating the search for effective ***,being one of the hallmarks of modern industry,offers a promising avenue for ***,the question of how to significantly enhance the performance of catalysts has gradually drawn the attention of *** engineering,a commonly employed and effective approach to improve catalyst activity,has become a significant research focus in the catalysis field in recent *** vacancies have received extensive attention due to their simple ***,exploration of metal vacancies has remained stagnant for a considerable period,resulting in a scarcity of comprehensive reviews on this ***,based on the latest research findings,this paper summarizes and consolidates the construction strategies for metal vacancies,characterization techniques,and their roles in typical energy and environmental catalytic ***,it outlines potential challenges in the future,aiming to provide valuable references for researchers interested in investigating metal vacancies.

关键词： Metal vacancies Catalysis Construction strategies Characterization techniques Roles

Exosomes:the next-generation therapeutic platform for ischemic stroke

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Neural Regeneration Research 2025年第5期20卷 1221-1235页

作者： Wenjing yin Hongyin Ma Yang Qu Jiaxin Ren yingying sun Zhen-Ni Guo yi Yang Stroke Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina Neuroscience Research Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina

Current therapeutic strategies for ischemic stroke fall short of the desired objective of neurological functional ***,there is an urgent need to develop new methods for the treatment of this *** are natural cell-derived vesicles that mediate signal transduction between cells under physiological and pathological *** have low immunogenicity,good stability,high delivery efficiency,and the ability to cross the blood–brain *** physiological properties of exosomes have the potential to lead to new breakthroughs in the treatment of ischemic *** rapid development of nanotechnology has advanced the application of engineered exosomes,which can effectively improve targeting ability,enhance therapeutic efficacy,and minimize the dosages *** in technology have also driven clinical translational research on *** this review,we describe the therapeutic effects of exosomes and their positive roles in current treatment strategies for ischemic stroke,including their antiinflammation,anti-apoptosis,autophagy-regulation,angiogenesis,neurogenesis,and glial scar formation reduction ***,it is worth noting that,despite their significant therapeutic potential,there remains a dearth of standardized characterization methods and efficient isolation techniques capable of producing highly purified *** optimization strategies should prioritize the exploration of suitable isolation techniques and the establishment of unified workflows to effectively harness exosomes for diagnostic or therapeutic applications in ischemic ***,our review aims to summarize our understanding of exosome-based treatment prospects in ischemic stroke and foster innovative ideas for the development of exosome-based therapies.

关键词： blood–brain barrier electroacupuncture engineering exercise exosomes ischemic stroke mesenchymal stem cells microglia neuroprotection stents

RepColor: deep coloring algorithm combining semantic categories

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Optoelectronics Letters 2025年

作者： Lei sun Dongjie ju School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Complicated Industry Systems， Tianjin University of Technology

Image coloring is an inherently uncertain and multimodal problem. By inputting a grayscale image into a coloring network， visually plausible colored photos can be generated. Conventional methods primarily rely on semantic information for image colorization. Although effective in coloring images with clear semantic information， these methods still suffer from color contamination and semantic confusion. This is largely due to the limited capacity of convolutional neural networks to effectively learn deep semantic information inherent in *** this paper， we propose a network structure that addresses these limitations by leveraging multi-level semantic information classification and fusion. Additionally， we introduce a global semantic fusion network to combat the issues of color contamination. The proposed coloring encoder accurately extracts object-level semantic information from *** further enhance visual plausibility， we employ a self-supervised adversarial training method. We train the network structure on various datasets with varying amounts of data and evaluate its performance using the ImageNet validation set and COCO validation set. Experimental results demonstrate that our proposed RepColor can generate more realistic images compared to previous approaches， showcasing its high generalization ability.

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一种非轴对称磁绝缘电子鞘层边界的计算方法

物理学报 2017年第3期66卷 347-354页

作者：魏浩孙凤举呼义翔梁天学丛培天邱爱慈西安交通大学电力设备电气绝缘国家重点实验室西安710049 西北核技术研究所强脉冲辐射环境模拟与效应国家重点实验室西安710024

长距离磁绝缘传输线内电极偏心、感应腔注入电流非均匀分布引起电子鞘层边界偏心等非对称磁绝缘特性.电子鞘层边界是研究非轴对称磁绝缘特性的重要参数.本文提出一种计算非轴对称磁绝缘电子鞘层边界的方法.通过引入角向非均匀分布的模数... 详细信息

长距离磁绝缘传输线内电极偏心、感应腔注入电流非均匀分布引起电子鞘层边界偏心等非对称磁绝缘特性.电子鞘层边界是研究非轴对称磁绝缘特性的重要参数.本文提出一种计算非轴对称磁绝缘电子鞘层边界的方法.通过引入角向非均匀分布的模数,将经典一维轴对称Creedon稳态磁绝缘理论推广应用于圆柱坐标系下二维(r,θ)平面.建立了感应电压叠加器次级非轴对称磁绝缘的二维Creedon物理模型,给出了非轴对称磁绝缘电子鞘层边界的数值计算方法和计算误差.当阴极角向磁场(阴极电流)角向分布满足余弦函数时,电子鞘层边界接近高斯分布.阴极电流角向不均匀程度越大,电子鞘层边界偏心程度越严重,计算误差越大.

关键词：磁绝缘感应电压叠加器注入电流非均匀分布非轴对称磁绝缘电子鞘层边界

Systematic Acupuncture Explains Acupuncture at Baihui(GV20) and Fengchi(GB20) Targeting the Inflammatory Response to Regulate Migraine

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Journal of Traditional Chinese Medicine 2025年

作者： MIN Yu ZHENG Meifeng sun ju PENG Zetong CAO Zhixian HUANG Xiaohua Medical College of Acu-Moxi and Rehabilitation， Guangzhou University of Chinese Medicine Department of Rehabilitation Medicine， the Affiliated Panyu Central Hospital of Guangzhou Medical University

Objective: To take Baihui (GV20) and Fengchi (GB20) targeting inflammatory response to regulate migraine as an example to describe a new method for studying the mechanism of stimulating ***: The target information of Baihui (GV20) and Fengchi (GB20) was retrieved， and after intersection with migraine， Kyoto Encyclopedia of Genes and Genomes (KEGG)， Reactome， and UniProt Keywords were used for functional enrichment. After selecting the main pathway， rats were selected and nitroglycerin was used for modeling， and the behavioral scores， inflammatory factors， heme oxygenase 1 (HMOX1)， protein kinase B (AKT1)， signal transducer and activator of transcription 3 (STAT3)， phosphorylated extracellular signal-regulated kinase 1/2 (P-ERK1/ERK2) and other states of the rats in the acupuncture， twisting， and electroacupuncture groups were ***: A total of 135 Baihui (GV20) targets and 27 Fengchi (GB20) targets were collected. A total of 73 target information were obtained after the intersection of these targets in migraine. These 73 targets have three main pathways: hypoxia-inducible factor 1 (HIF-1) signaling pathway， signaling by interleukins and inflammatory response. The main targets in the pathway were verified and found that interleukin-1 beta (IL-1β)， interleukin-6 (IL-6)， tumor necrosis factor-alpha (TNF-α) and HMOX1， AKT1， STAT3， P-ERK1/ERK2 can be regulated by Baihui (GV20) and Fengchi (GB20).Conclusion: Baihui (GV20) and Fengchi (GB20) can regulate migraine by regulating inflammatory factors and HMOX1， AKT1， STAT3， P-ERK1/ERK2 and other changes in HIF-1 signaling pathway， Signaling by Interleukins and Inflammatory response pathways. Based on systems biology and network pharmacology， and with the model of "acupoint-target-disease"， explore the research methods of systematic acupuncture and moxibustion. We believe this is a usable research direction for exploring the mechanism of acupuncture stimulation.

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Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 18-23页

作者： Jiarui Cai Bo sun Huijun Wang yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong Collaborative Innovation Center on forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina China Meteorological Administration Key Laboratory of Transportation MeteorologyNanjingChina Jiangsu Meteorological Observatory NanjingChina

Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical *** learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many *** this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,*** two models combine the improved dung beetle optimizer(DBO)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with DBO show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original DBO,the R and RPD of models with the improved DBO increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction *** addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

关键词： Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia

Drosophila neuroligin3 is required for glutamate receptors recruitment

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Drosophila neuroligin3 is required for glutamate receptors r...