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Sunlight-induced Permanent Hair Dyeing

Chinese Journal of Polymer Science 2025年第2期43卷 261-270页

作者： Ting Zhang Bo Liang jian-Hua Zhang Lei yang Jun-fei Hua Yi-Wen Li College of Polymer Science and Engineering State Key Laboratoryof Polymer Materials EngineeringSichuan UniversityChengdu 60065China Schoolof Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002China School of Emergent Soft Matter South China University of TechnologyGuangzhou 510640China

Hair coloring has emerged as an integral part of the cosmetic industry,particularly in response to the increasing global aging *** natural melanin analog,polydopamine(PDA),has garnered considerable attention as an eco-friendly hair dye,and several kinds of polymerization ways of dopamine(DA)have been proposed including alkali catalysis,metal ion catalysis,strong oxidants,and enzyme-mediated oxidation reactions and *** the controllability of polymerization and potential toxicity of involved metal ions are still in *** by the photoprotective mechanism in human skin,we have developed the melanin-inspired hair dyeing strategy that allowed for the in situ oxidative polymerization of DA under ultraviolet(UV)*** polymerization was triggered by photobase generators(PBGs),a class of compounds that produced organic bases upon UV and sunlight *** resulting hair showed an adjustable color from light brown to black by tuning the ratio of DA and PBG(DA@PBG),the concentration of DA,and light exposure *** dyed hairs showed excellent washing resistance and superior anti-static ***,Hair Color Spray DA@PBG also demonstrated a desirable hair dyeing effect and excellent biosecurity by simply spraying it on the hair under *** novel sunlight-induced method provided a new direction towards the preparation of natural hair dyes and could promote the development of green and safe hair dyes in colorful and brilliant artistic-grade hair coloring.

关键词： Polydopamine Melanin Polymerization Hair dye Photo-initiation

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A nuclide identification method ofγspectrum and model building based on the transformer

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Nuclear Science and Techniques 2025年第1期36卷 80-93页

作者： fei Li Chu-yang Luo Ying-Zi Wen Sheng Lv Feng Cheng Guo-Qiang Zeng jian-Feng jiang Bing-Hai Li College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Department of Physics Universitat Politècnica de CatalunyaBarcelona 08028Spain Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In current neural network algorithms for nuclide identification in high-background,poor-resolution detectors,traditional network paradigms including back-propagation networks,convolutional neural networks,recurrent neural networks,etc.,have been limited in research on γ spectrum analysis because of their inherent mathematical *** is difficult to make progress in terms of training data requirements and prediction *** contrast to traditional network paradigms,network models based on the transformer structure have the characteristics of parallel computing,position encoding,and deep stacking,which have enabled good performance in natural language processing tasks in recent ***,in this paper,a transformer-based neural network (TBNN) model is proposed to achieve nuclide identification for the first ***,the Geant4 program was used to generate the basic single-nuclide energy spectrum through Monte Carlo simulations.A multi-nuclide energy spectrum database was established for neural network training using random matrices of γ-ray energy,activity,and *** on the encoder–decoder structure,a network topology based on the transformer was built,transforming the 1024-channel energy spectrum data into a 32×32 energy spectrum sequence as the model *** experiments and adjustments of model parameters,including the learning rate of the TBNN model,number of attention heads,and number of network stacking layers,the overall recognition rate reached 98.7%.Additionally,this database was used for training AI models such as back-propagation networks,convolutional neural networks,residual networks,and long shortterm memory neural networks,with overall recognition rates of 92.8%,95.3%,96.3%,and 96.6%,*** indicates that the TBNN model exhibited better nuclide identification among these AI models,providing an important reference and theoretical basis for the practical application of transformers in the qualitative and quantitativ

关键词： Nuclide identification Neural network Transformer

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Prognostic model for esophagogastric variceal rebleeding after endoscopic treatment in liver cirrhosis: A Chinese multicenter study

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World Journal of Gastroenterology 2025年第2期31卷 85-101页

作者： Jun-Yi Zhan Jie Chen Jin-Zhong Yu fei-Peng Xu fei-fei Xing De-Xin Wang Ming-Yan yang Feng Xing jian Wang Yong-Ping Mu Cell Biology Laboratory Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Institute of Liver Diseases Shanghai Academy of Chinese MedicineShanghai 201203China Clinical Key Laboratory of Traditional Chinese Medicine of Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Key Laboratory of Liver and Kidney Disease of the Ministry of Education Shanghai University of Traditional Chinese MedicineShanghai 201203China Department of Gastroenterology and Hepatology Zhongshan Hospital Affiliated to Fudan UniversityShanghai 200032China Shanghai Institute of Liver Disease Fudan UniversityShanghai 200032China Evidence-Based Medicine Center Fudan UniversityShanghai 200032China Department of Gastrointestinal Endoscopy Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China Department of Hepatology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 201203China

BACKGROUND Rebleeding after recovery from esophagogastric variceal bleeding(EGVB)is a severe complication that is associated with high rates of both incidence and *** its clinical importance,recognized prognostic models that can effectively predict esophagogastric variceal rebleeding in patients with liver cirrhosis are *** To construct and externally validate a reliable prognostic model for predicting the occurrence of esophagogastric variceal *** This study included 477 EGVB patients across 2 cohorts:The derivation cohort(n=322)and the validation cohort(n=155).The primary outcome was rebleeding events within 1 *** least absolute shrinkage and selection operator was applied for predictor selection,and multivariate Cox regression analysis was used to construct the prognostic *** validation was performed with bootstrap *** assessed the discrimination,calibration and accuracy of the model,and performed patient risk *** Six predictors,including albumin and aspartate aminotransferase concentrations,white blood cell count,and the presence of ascites,portal vein thrombosis,and bleeding signs,were selected for the rebleeding event prediction following endoscopic treatment(REPET)*** predicting rebleeding within 1 year,the REPET model ex-hibited a concordance index of 0.775 and a Brier score of 0.143 in the derivation cohort,alongside 0.862 and 0.127 in the validation ***,the REPET model revealed a significant difference in rebleeding rates(P<0.01)between low-risk patients and intermediate-to high-risk patients in both *** We constructed and validated a new prognostic model for variceal rebleeding with excellent predictive per-formance,which will improve the clinical management of rebleeding in EGVB patients.

关键词： Esophagogastric variceal bleeding Variceal rebleeding Liver cirrhosis Prognostic model Risk stratification Secondary prophylaxis

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The long noncoding RNA ALEX1 confers a functional phase state of ARF3 to enhance rice resistance to bacterial pathogens

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Molecular Plant 2025年第1期18卷 114-129页

作者： Meng-Qi Lei Rui-Rui He Yan-fei Zhou Lu yang Zhen-fei Zhang Chao Yuan Wen-Long Zhao Yu Cheng jian-Ping Lian Yu-Chan Zhang Wen-Tao Wang yang Yu Yue-Qin Chen Guangdong Provincial Key Laboratory of Plant Stress Biology State Key Laboratory for BiocontrolSchool of Life SciencesSun Yat-Sen UniversityGuangzhou 510275P.R.China Guangdong Key Laboratory of Crop Germplasm Resources Preservation and Utilization Agro-biological Gene Research CenterGuangdong Academy of Agricultural SciencesGuangzhou 510640P.R.China Plant Protection Research Institute Guangdong Academy of Agricultural SciencesGuangzhou 510640P.R.China

Rice bacterial blight is a devastating disease worldwide,causing significant yield *** how plants defend against microbial infection is critical for sustainable crop *** this study,we show that ALEX1,a previously identified pathogen-induced long noncoding RNA,localizes to the nucleus and directly binds AUXIN RESPONSE FACTOR 3(ARF3).We showed that ARF3 forms the condensates in the nucleus via its intrinsically disordered middle region(MR),and that these ARF3 condensates display solid-like *** further revealed that ALEX1 directly binds the MR of ARF3 to regulate ARF3 condensate dynamics and promote ARF3 *** dispersed,dimeric form of ARF3,referred to as its functional phase state,enhances its ability to transcriptionally repress the expression of downstream target genes such as JAZ13,thereby modulating the jasmonic acid signaling pathway and enhancing pathogen resistance in ***,this study reveals the role of a long noncoding RNA in regulating protein condensation and complex assembly,thus contributing to plant pathogen resistance.

关键词： lncRNA Xoo ARF3 protein condensates

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Positive effect of Mo on mechanical properties of a Ni-42W-10Co-xMo medium heavy alloy

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China Foundry 2025年第1期22卷 108-116页

作者： Guo-xin Cao jian-xin Dong Yong-sheng He He jiang Fang Hao Zhi-hua Nie Teng-fei Ma Bao-quan Fu School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Xi'an Superalloy Technology Co. Ltd.Xi’an 710299China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Air-driven Equipment Technology of Zhejiang Province Quzhou UniversityQuzhou 324000ZhejiangChina

In this study,a novel Ni-W-Co-Mo medium heavy alloy(MHA)was designed to improve its mechanical strength via Mo *** the Ni-42W-10Co-x Mo alloy series,where x represents the weight percent of Mo and varies between 0,1,2,5,and 10,the microstructure transitions from a dendritic structure to a hypo-eutectic structure as the Mo content increases from 0 to 5wt.%.Moreover,as the Mo content increases from 0 to 10wt.%,the distribution of theμ-phase shifts from being individually dispersed to forming aggregates,and its volume fraction rises from 0.5%to 7.9%.Notably,theμ-phase evolves into an eutectic microstructure,which helps in minimizing the segregation of *** change is accompanied by a substantial enhancement in mechanical properties;specifically,the compressive yield strength at room temperature increases from 350 MPa to 646 MPa,indicating a significant 85%***,the microhardness increases from 230 HV to 304 *** dynamics simulations further reveal that the strengthening mechanism of Ni-42W-10Co-x Mo alloys is Mo-induced solid solution strengthening and precipitation strengthening.

关键词： medium-heavy alloys Ni-based alloy mechanical properties solid solution strengthening precipitation strengthening

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HHM模型的多参数Hopf分岔分析

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系统仿真学报 2005年第1期17卷 170-173,184页

作者：王江耿建明费向阳天津大学电气自动化与能源工程学院天津300072

现代科学证明,不少疾病都与生物细胞膜离子通道病变有关,表现为生物模型中相关参数的异常变化,这类疾病可归类为离子通道疾病。以肌肉中的Hodgkin-Huxley模型为研究对象,选取漏电导数gl和钠离子通道反电势VNa作为分岔参数,分析其Hopf分... 详细信息

现代科学证明,不少疾病都与生物细胞膜离子通道病变有关,表现为生物模型中相关参数的异常变化,这类疾病可归类为离子通道疾病。以肌肉中的Hodgkin-Huxley模型为研究对象,选取漏电导数gl和钠离子通道反电势VNa作为分岔参数,分析其Hopf分岔并探讨分岔对HH模型的影响。采用高维方程的代数判据进行Hodgkin-Huxley模型多参数动态分岔分析,简化了分析过程。并用研究结果解释相应的生理过程,试图从生物系统动态过程异变的角度探讨生理疾病的成因。

关键词： Hopf分岔双参数代数判据 HHM模型

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Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy:A retrospective cohort study

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World Journal of Gastroenterology 2025年第8期31卷 9-23页

作者： Ji-Ming Ma Peng-fei Wang Liu-Qing yang Jun-Kai Wang jian-Ping Song Yu-Mei Li Yan Wen Bing-Jun Tang Xue-Dong Wang Hepatopancreatobiliary Center Beijing Tsinghua Changgung HospitalBeijing 102218China Department of Information Administration Beijing Tsinghua Changgung HospitalBeijing 102218China Department of Radiology Beijing Tsinghua Changgung HospitalBeijing 102218China Organ Transplantation Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250012Shandong ProvinceChina Department of Otorhinolaryngology Xiangyang No.1 People’s HospitalXiangyang 441000Hubei ProvinceChina

BACKGROUND The International Study Group of Pancreatic Surgery has established the defi-nition and grading system for postpancreatectomy acute pancreatitis(PPAP).There are no established machine learning models for predicting PPAP following pancreaticoduodenectomy(PD).AIM To explore the predictive model of PPAP,and test its predictive efficacy to guide the clinical *** Clinical data from consecutive patients who underwent PD between 2016 and 2024 were retrospectively *** analysis of PPAP risk factors was performed,various machine learning algorithms[logistic regression,random forest,gradient boosting decision tree,extreme gradient boosting,light gradient boosting machine,and category boosting(CatBoost)]were utilized to develop predictive *** feature elimination was employed to select several variables to achieve the optimal machine *** The study included 381 patients,of whom 88(23.09%)developed *** patients exhibited a significantly higher incidence of postoperative pancreatic fistula(55.68%vs 14.68%,P<0.001),grade C postoperative pancreatic fistula(9.09%vs 1.37%,P=0.001).The CatBoost algorithm outperformed other algorithms with a mean area under the receiver operating characteristic curve of 0.859[95%confidence interval(CI):0.814-0.905]in the training cohort and 0.822(95%CI:0.717-0.927)in the testing *** to shapley additive explanations analysis,pancreatic texture,main pancreatic duct diameter,body mass index,estimated blood loss,and surgery time were the most important variables based on recursive feature *** CatBoost algorithm based on selected variables demonstrated superior performance,with an area under the receiver operating characteristic curve of 0.837(95%CI:0.788-0.886)in the training cohort and 0.812(95%CI:0.697-0.927)in the testing *** We developed the first machine learning-based predictive model for PPAP following *** predictive model can assist surgeons in an

关键词： Pancreaticoduodenectomy Postoperative complication Acute pancreatitis Machine learning Predictive value

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Dual-ligand chiral MOFs exhibiting circularly polarized room temperature phosphorescence for anti-counterfeiting

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Science China Chemistry 2025年

作者： Hongrui Zheng Qingqing Wang Xinchao Wang fei Wang Shangda Li jian Zhang State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fujian Key Laboratory of Polymer Materials College of Chemistry and Materials Science Fujian Normal University

Advanced chiral optical materials exhibiting circularly polarized room-temperature phosphorescence（CPRTP） possess significant research value. This study facilitates the synthesis of chiral metal-organic frameworks（CMOFs） with good CPRTP performance by implementing a dual-ligand strategy. By self-assembling the luminescent ligand H2BIIM with the chiral ligands L-or D-H2IDPA in the presence of Zn（II） ions, two robust three-dimensional（3D） CMOFs were successfully constructed. These complexes demonstrated intense fluorescence and exhibited prolonged yellow room-temperature phosphorescence（RTP） with a duration of up to 6 s. Notably, they exhibited both circularly polarized fluorescence(glum= ±7.57 × 10-3) and CPRTP(glum=±2.68 × 10-3). These unique properties were effectively utilized in the creation of multi-color anti-counterfeiting patterns,underscoring their promising potential for a wide range of applications.

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Breaking the structural symmetry of active sites in zeolite imidazolate framework for enhanced CO2 photoreduction

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Science China Chemistry 2025年

作者： Yupeng Han Yayu Yan Qiaohong Li Xin Wu fei Wang jian Zhang State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences University of Chinese Academy of Sciences College of Chemistry Fuzhou University

Adjusting the structure and composition of active sites is a highly effective method for activating linear ***, precise control of interfacial chemistry within molecular-scale environments presents a significant challenge in heterogeneous catalysis. In our study, we present symmetry-broken Mo-O-Co triple-atom active sites within the hybrid zeolite imidazole framework HZIF-CoMo. These sites disrupt the electronic balance and create a weak built-in electric field, thus promoting photocatalytic CO2reduction. The CO yield over HZIF-CoMo is improved to 3.1 mmol g-1h-1, which is over four times higher than the parent cobalt-imidazole framework MAF-6-Co. Both experimental and theoretical studies indicate that electronic modulation through the symmetry-breaking Mo-O-Co moiety acts as an organizing knob to accelerate charge separation and result in more carriers participating in the catalytic reaction. This work provides important insights into optimizing site-related electronic structures for targeted photocatalytic reactions.

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Targeting vulnerable microcircuits in the ventral hippocampus of male transgenic mice to rescue Alzheimer‑like social memory loss

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Military Medical Research 2025年第1期12卷 48-71页

作者： Hui-yang Lei Gui-Lin Pi Ting He Rui Xiong Jing-Ru Lv Jia-Le Liu Dong-Qin Wu Meng-Zhu Li Kun Shi Shi-Hong Li Na-Na Yu yang Gao Hui-Ling Yu Lin-Yu Wei Xin Wang Qiu-Zhi Zhou Pei-Lin Zou Jia-yang Zhou Ying-Zhou Liu Nai-Ting Shen Jie yang Dan Ke Qun Wang Gong-Ping Liu Xi-fei yang jian-Zhi Wang Ying yang Department of Pathophysiology School of Basic MedicineKey Laboratory of Education Ministry of China/Hubei Province for Neurological DisordersTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Traditional Chinese Medicine the Central Hospital of WuhanTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430014China Key Laboratory of Modern Toxicology of Shenzhen Shenzhen Center for Disease Control and PreventionShenzhen 518055GuangdongChina Co‑Innovation Center of Neuroregeneration Nantong UniversityNantong 226000JiangsuChina

Background:Episodic memory loss is a prominent clinical manifestation of Alzheimer’s disease(AD),which is closely related to tau pathology and hippocampal *** to the heterogeneity of brain neurons,the specific roles of different brain neurons in terms of their sensitivity to tau accumulation and their contribution to AD-like social memory loss remain ***,further investigation is ***:We investigated the effects of AD-like tau pathology by Tandem mass tag proteomic and phosphoproteomic analysis,social behavioural tests,hippocampal electrophysiology,immunofluorescence staining and in vivo optical fibre recording of GCaMP6f and ***,we utilized optogenetics and administered ursolic acid(UA)via oral gavage to examine the effects of these agents on social memory in ***:The results of proteomic and phosphoproteomic analyses revealed the characteristics of ventral hippocampal CA1(vCA1)under both physiological conditions and AD-like tau *** tau progressively accumulated,vCA1,especially its excitatory and parvalbumin(PV)neurons,were fully filled with mislocated and phosphorylated tau(p-Tau).This finding was not observed for dorsal hippocampal CA1(dCA1).The overexpression of human tau(hTau)in excitatory and PV neurons mimicked AD-like tau accumulation,significantly inhibited neuronal excitability and suppressed distinct discrimination-associated firings of these neurons within *** excitatory and PV neurons in vCA1 at specific rhythms and time windows efficiently ameliorated tau-impaired social ***,1 month of UA administration efficiently decreased tau accumulation via autophagy in a transcription factor EB(TFEB)-dependent manner and restored the vCA1 microcircuit to ameliorate tau-impaired social ***:This study elucidated distinct protein and phosphoprotein networks between dCA1 and vCA1 and highlighted the susceptibility of the vCA1 microcircuit to AD-like tau

关键词： Alzheimer’s disease Tau protein Ventral hippocampus Social memory Ursolic acid Transcription factor EB(TFEB)

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