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SpectraTr:A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure

Journal of Innovative Optical Health Sciences 2022年第3期15卷 107-117页

作者： pengyou fu Yue Wen Yuke Zhang Lingqiao Li Yanchun Feng Lihui Yin Huihua Yang School of Computer Science and Information Security Guilin University of Electronic Technology 1 Jinji Road Guilin 541004P.R.China School of Artīcial Intelligence Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing 100876P.R.China School of International Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing 100876P.R.China National Institutes for Food and Drug Control 10 Tiantanxili Road Beijing 100050P.R.China

The drug supervision methods based on near-infrared spectroscopy analysis are heavily dependent on the chemometrics model which characterizes the relationship between spectral data and drug *** preliminary application of convolution neural network in spectral analysis demonstrates excellent end-to-end prediction ability,but it is sensitive to the hyper-parameters of the *** transformer is a deep-learning model based on self-attention mechanism that compares convolutional neural networks(CNNs)in predictive performance and has an easy-todesign model ***,a novel calibration model named SpectraTr,based on the transformer structure,is proposed and used for the qualitative analysis of drug *** experimental results of seven classes of drug and 18 classes of drug show that the proposed SpectraTr model can automatically extract features from a huge number of spectra,is not dependent on pre-processing algorithms,and is insensitive to model *** the ratio of the training set to test set is 8:2,the prediction accuracy of the SpectraTr model reaches 100%and 99.52%,respectively,which outperforms PLS DA,SVM,SAE,and *** model is also tested on a public drug data set,and achieved classification accuracy of 96.97%without preprocessing algorithm,which is 34.85%,28.28%,5.05%,and 2.73%higher than PLS DA,SVM,SAE,and CNN,*** research shows that the SpectraTr model performs exceptionally well in spectral analysis and is expected to be a novel deep calibration model after Autoencoder networks(AEs)and CNN.

关键词： Near-infrared spectroscopy analysis drug supervision transformer structure deep learning chemometrics

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Systematic comparison of Kawasaki disease Z-score formulas:Enhancing diagnostic accuracy and clinical applicability across populations

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World Journal of Clinical Pediatrics 2025年第1期14卷 63-68页

作者： Yan Pan fu-Yong Jiao Department of Pediatrics The First Affiliated Hospital of Yangtze UniversityJingzhou 434000Hubei ProvinceChina Shaanxi Kawasaki Disease Diagnosis and Treatment Center Children's HospitalShaanxi Provincial People's Hospital of Xi'anJiaotong UniveristyXi'an 710000Shaanxi ProvinceChina

This study aims to evaluate the performance of six distinct Z-score formulas in diagnosing coronary artery dilation in Kawasaki disease(KD)patients,with a focus on their clinical applicability across diverse populations.A retrospective analysis was conducted using comparative statistical methods to assess the sensitivity and specificity of each *** Kobayashi and Dallaire formulas demonstrated the highest sensitivity in China,particularly in younger patients with prolonged fever *** findings provide evidence-based recommend-ations for selecting Z-score formulas to optimize diagnostic precision in KD patients.

关键词： Kawasaki disease Early diagnosis Z-score Children

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无线智能情景LED照明控制系统设计

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电视技术 2019年第4期43卷 99-102页

作者：傅鹏有周金治刘艺涵张校伟周秋宇王志文西南科技大学信息工程学院

为了提高智能家居环境下照明子系统的舒适度和艺术性,研究并设计了一种无线智能LED情景照明控制系统。系统采用物联网架构,由灯控终端、无线ZigBee传感器数据采集节点、云端服务器和Android移动智能终端构成。灯控终端以STM32F103ZET6... 详细信息

为了提高智能家居环境下照明子系统的舒适度和艺术性,研究并设计了一种无线智能LED情景照明控制系统。系统采用物联网架构,由灯控终端、无线ZigBee传感器数据采集节点、云端服务器和Android移动智能终端构成。灯控终端以STM32F103ZET6处理器为核心,以四色LED灯为控制对象,依托WiFi模块与云端互联,通过云端指令和传感器检测数据,灯控终端可实现对家居环境下的LED单灯或组灯的照明、亮度、颜色控制以及情景模式选择。测试结果表明,该系统在家庭环境下运行稳定,能够实现远程控制管理和满足照明系统智能化的需求。

关键词：智能家居 LED照明控制系统 ZigBee STM32 WiFi Android

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Imperative for long-term management and surveillance in Kawasaki disease

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World Journal of Clinical Cases 2025年第4期13卷 61-63页

作者： Yan Pan fu-Yong Jiao Department of Pediatrics The First Affiliated Hospital of Yangtze UniversityJingzhou 434000Hubei ProvinceChina Shaanxi Kawasaki Disease Diagnosis and Treatment Center Children’s HospitalShaanxi Provincial People’s Hospital of Xi’an Jiaotong UniversityXi’an 710000Shaanxi ProvinceChina

Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery *** the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical *** editorial emphasizes the critical need for long-term management and regular surveillance to prevent such *** drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.

关键词： Kawasaki disease Long-term management Coronary artery aneurysm Surveillance Preventive care

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Advancements and Challenges in Organic–Inorganic Composite Solid Electrolytes for All‑Solid‑State Lithium Batteries

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Nano-Micro Letters 2025年第1期17卷 46-97页

作者： Xueyan Zhang Shichao Cheng Chuankai fu Geping Yin Liguang Wang Yongmin Wu Hua Huo State Key Laboratory of Space Power‑Sources School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001People’s Republic of China College of Chemical and Biological Engineering Zhejiang UniversityHangzhou 310058People’s Republic of China State Key Laboratory of Space Power-Sources 2965 Dongchuan RoadMinhang DistrictShanghai 200240People’s Republic of China

To address the limitations of contemporary lithium-ion batteries,particularly their low energy density and safety concerns,all-solid-state lithium batteries equipped with solid-state electrolytes have been identified as an up-and-coming *** the various SEs,organic–inorganic composite solid electrolytes(OICSEs)that combine the advantages of both polymer and inorganic materials demonstrate promising potential for large-scale ***,OICSEs still face many challenges in practical applications,such as low ionic conductivity and poor interfacial stability,which severely limit their *** review provides a comprehensive overview of recent research advancements in ***,the influence of inorganic fillers on the main functional parameters of OICSEs,including ionic conductivity,Li+transfer number,mechanical strength,electrochemical stability,electronic conductivity,and thermal stability are systematically *** lithium-ion conduction mechanism of OICSE is thoroughly analyzed and concluded from the microscopic ***,the classic inorganic filler types,including both inert and active fillers,are categorized with special emphasis on the relationship between inorganic filler structure design and the electrochemical performance of ***,the advanced characterization techniques relevant to OICSEs are summarized,and the challenges and perspectives on the future development of OICSEs are also highlighted for constructing superior ASSLBs.

关键词： Composite solid electrolytes Inorganic filler Interfacial stability Li-ion conduction mechanism Characterization techniques

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Identity-aware convolutional neural networks for facial expression recognition

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Journal of Systems Engineering and Electronics 2017年第4期28卷 784-792页

作者： Chongsheng Zhang pengyou Wang Ke Chen Joni-Kristian Kamarainen The Big Data Research Center Henan University Kaifeng 475001 China Department of Signal Processing Tampere University of Technology Tampere 33720 Finland

Facial expression recognition is a hot topic in computer vision, but it remains challenging due to the feature inconsistency caused by person-specific 'characteristics of facial expressions. To address such a challenge, and inspired by the recent success of deep identity network (DeepID-Net) for face identification, this paper proposes a novel deep learning based framework for recognising human expressions with facial images. Compared to the existing deep learning methods, our proposed framework, which is based on multi-scale global images and local facial patches, can significantly achieve a better performance on facial expression recognition. Finally, we verify the effectiveness of our proposed framework through experiments on the public benchmarking datasets JAFFE and extended Cohn-Kanade (CK+).

关键词： facial expression recognition deep learning classification identity-aware

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Bidirectional regulation of the brain-gut-microbiota axis following traumatic brain injury

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Neural Regeneration Research 2025年第8期20卷 2153-2168页

作者： Xinyu You Lin Niu Jiafeng fu Shining Ge Jiangwei Shi Yanjun Zhang Pengwei Zhuang National Key Laboratory of Chinese Medicine Modernization Tianjin University of Traditional Chinese MedicineTianjinChina Haihe Laboratory of Modern Chinese Medicine Tianjin University of Traditional Chinese MedicineTianjinChina First Teaching Hospital of Tianjin University of Traditional Chinese Medicine TianjinChina National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion TianjinChina

Traumatic brain injury is a prevalent disorder of the central nervous *** addition to primary brain parenchymal damage,the enduring biological consequences of traumatic brain injury pose long-term risks for patients with traumatic brain injury;however,the underlying pathogenesis remains unclear,and effective intervention methods are *** dysfunction is a significant consequence of traumatic brain *** the most densely innervated peripheral tissue in the body,the gut possesses multiple pathways for the establishment of a bidirectional“brain-gut axis”with the central nervous *** gut harbors a vast microbial community,and alterations of the gut niche contribute to the progression of traumatic brain injury and its unfavorable prognosis through neuronal,hormonal,and immune pathways.A comprehensive understanding of microbiota-mediated peripheral neuroimmunomodulation mechanisms is needed to enhance treatment strategies for traumatic brain injury and its associated *** comprehensively reviewed alterations in the gut microecological environment following traumatic brain injury,with a specific focus on the complex biological processes of peripheral nerves,immunity,and microbes triggered by traumatic brain injury,encompassing autonomic dysfunction,neuroendocrine disturbances,peripheral immunosuppression,increased intestinal barrier permeability,compromised responses of sensory nerves to microorganisms,and potential effector nuclei in the central nervous system influenced by gut ***,we reviewed the mechanisms underlying secondary biological injury and the dynamic pathological responses that occur following injury to enhance our current understanding of how peripheral pathways impact the outcome of patients with traumatic brain *** review aimed to propose a conceptual model for future risk assessment of central nervous system-related diseases while elucidating novel insights into the bidirectional effec

关键词： traumatic brain injury brain-gut-microbiome axis gut microbiota neuroimmune immunosuppression host defense vagal afferents bacterial infection dorsal root ganglia nociception neural circuitry

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Human neural stem cell-derived extracellular vesicles protect against ischemic stroke by activating the PI3K/AKT/mTOR pathway

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Neural Regeneration Research 2025年第11期20卷 3245-3258页

作者： Jiayi Wang Mengke Zhao Dong fu Meina Wang Chao Han Zhongyue Lv Liang Wang Jing Liu Stem Cell Clinical Research Center The First Affiliated Hospital of Dalian Medical UniversityDalianLiaoning ProvinceChina Dalian Innovation Institute of Stem Cell and Precision Medicine DalianLiaoning ProvinceChina Institute(College)of Integrative Medicine Dalian Medical UniversityDalianLiaoning ProvinceChina

Human neural stem cell-derived extracellular vesicles exhibit analogous functions to their parental cells,and can thus be used as substitutes for stem cells in stem cell therapy,thereby mitigating the risks of stem cell therapy and advancing the frontiers of stem cell-derived *** lays a foundation for the development of potentially potent new treatment modalities for ischemic ***,the precise mechanisms underlying the efficacy and safety of human neural stem cell-derived extracellular vesicles remain unclear,presenting challenges for clinical *** promote the translation of therapy based on human neural stem cell-derived extracellular vesicles from the bench to the bedside,we conducted a comprehensive preclinical study to evaluate the efficacy and safety of human neural stem cell-derived extracellular vesicles in the treatment of ischemic *** found that administration of human neural stem cell-derived extracellular vesicles to an ischemic stroke rat model reduced the volume of cerebral infarction and promoted functional recovery by alleviating neuronal *** human neural stem cell-derived extracellular vesicles reduced neuronal apoptosis by enhancing phosphorylation of phosphoinositide 3-kinase,mammalian target of rapamycin,and protein kinase B,and these effects were reversed by treatment with a phosphoinositide 3-kinase *** findings suggest that human neural stem cell-derived extracellular vesicles play a neuroprotective role in ischemic stroke through activation of phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin signaling ***,we showed that human neural stem cell-derived extracellular vesicles have a good in vivo safety ***,human neural stem cell-derived extracellular vesicles are a promising potential agent for the treatment of ischemic stroke.

关键词： behavior exosome extracellular vesicles ischemic stroke mammalian target of rapamycin(mTOR) middle cerebral artery occlusion neural stem cells neuronal apoptosis phosphoinositide 3-kinase(PI3K) protein kinase B(AKT)

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基于GYT双标图综合评价黄河流域中熟杂交棉花区域试验品种

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作物学报 2025年第1期51卷 30-43页

作者：李超付小琼中国农业科学院棉花研究所/棉花生物育种与综合利用全国重点实验室河南安阳455000 华北作物改良与调控国家重点实验室/河北省作物种质资源实验室/华北作物种质资源研究与利用教育部重点实验室/河北农业大学河北保定071001

对黄河流域中熟杂交棉花区域试验参试品种进行分析和评价,可以为品种合理布局和品种性状改良提供科学依据。本研究利用GYT双标图对2022—2023年黄河流域30个参试品种的产量、品质、农艺性状、抗病性进行综合评价,深入分析皮棉产量与铃... 详细信息

对黄河流域中熟杂交棉花区域试验参试品种进行分析和评价,可以为品种合理布局和品种性状改良提供科学依据。本研究利用GYT双标图对2022—2023年黄河流域30个参试品种的产量、品质、农艺性状、抗病性进行综合评价,深入分析皮棉产量与铃重、单株铃数、霜前花率、衣分、第一果枝节位、果枝数、生育期、株高、子指、纤维长度、断裂比强度、马克隆值、伸长率、整齐度、枯萎病指数、黄萎病指数等性状的组合水平,联合方差分析结果表明, 2年试验中所有性状的基因型效应和环境效应均达到了极显著水平,大部分基因型与环境互作效应达到了显著或极显著水平,同时大部分互作效应平方和占比总变异平方和比例大于基因型效应。筛选出中棉所9B07等产量-性状组合优良的品种,比对照品种中棉所9711适应性更广、丰产性更好,具有较高的应用推广价值。GYT双标图比GT双标图具有解释的变异比例更高、拟合度更好、分析结果可信度更高等优点,可以更加直观展示参试品种特点,为我国作物品种多性状综合评价提供参考。

关键词：棉花 GT双标图 GYT双标图产量-性状组合

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The interaction between KIF21A and KANK1 regulates dendritic morphology and synapse plasticity in neurons

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Neural Regeneration Research 2025年第1期20卷 209-223页

作者： Shi-Yan Sun Lingyun Nie Jing Zhang Xue Fang Hongmei Luo Chuanhai fu Zhiyi Wei Ai-Hui Tang Hefei National Research Center for Physical Sciences at the Microscale CAS Key Laboratory of Brain Function and DiseaseMinistry of Education Key Laboratory for Membrane-less Organelles and Cellular DynamicsDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefeiAnhui ProvinceChina CAS Center for Excellence in Molecular Cell Sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Department of Neurobiology School of Life SciencesSouthern University of Science and TechnologyShenzhenGuangdong ProvinceChina Brain Research Center Southern University of Science and TechnologyShenzhenGuangdong ProvinceChina

Morphological alterations in dendritic spines have been linked to changes in functional communication between neurons that affect learning and ***-4 KIF21A helps organize the microtubule-actin network at the cell cortex by interacting with KANK1;however,whether KIF21A modulates dendritic structure and function in neurons remains *** this study,we found that KIF21A was distributed in a subset of dendritic spines,and that these KIF21A-positive spines were larger and more structurally plastic than KIF21A-negative ***,the interaction between KIF21A and KANK1 was found to be critical for dendritic spine morphogenesis and synaptic *** of either KIF21A or KANK1 inhibited dendritic spine morphogenesis and dendritic branching,and these deficits were fully rescued by coexpressing full-length KIF21A or KANK1,but not by proteins with mutations disrupting direct binding between KIF21A and KANK1 or binding between KANK1 and *** down KIF21A in the hippocampus of rats inhibited the amplitudes of long-term potentiation induced by high-frequency stimulation and negatively impacted the animals’cognitive *** together,our findings demonstrate the function of KIF21A in modulating spine morphology and provide insight into its role in synaptic function.

关键词： actin cytoskeleton dendrite KANK1 KIF21A microtubule spine morphology spine synaptic plasticity talin1

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