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Laser image refractive index sensor based on the combination of a coreless optical fiber and a digital camera

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Optoelectronics Letters 2025年第2期21卷 65-68页

作者： GUO Jingzhong lan Feng CHEN Xiang liu Haifeng Xi’an Institute of Space Radio Technology Xi’an 710100China Key Laboratory of Optoelectronic Sensor and Sensing Network Technology College of Electronic Information and Optical EngineeringNankai UniversityTianjin 300350China

As a laser passes through a scattering medium,the light interacts with the irregular reflections within the medium,resulting in light scattering and the formation of *** this paper,an image sensor based on the combination of a coreless optical fiber and a digital camera is proposed for liquid refractive index sensing *** coreless fiber is used as a sensing unit,and the change in the speckle pattern is measured using the digital correlation method to detect the magnitude of the liquid's refractive *** experimental results indicate that the laser image sensing technique is capable of effectively distinguishing liquid samples with refractive indices ranging from 1.332 8 to1.390 8,with a sensing sensitivity of-1.306 ***,the laser image sensing technique,with its advantages of high experimental reproducibility,simple system design,remote over-control,holds great research significance and potential application in laser communication and sensor integration.

关键词： fiber scattering optical

Phase changes and electromagnetic wave absorption performance of XZnC(X=Fe/Co/Cu)loaded on melamine sponge hollow carbon composites

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 566-577页

作者： Xiubo Xie Ruilin liu Chen Chen Di lan Zhelin Chen Wei Du Guanglei Wu School of Environmental and Material Engineering Yantai UniversityYantai 264005China School of Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002China Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta Shandong University of AeronauticsBinzhou 256603China Institute of Materials for Energy and Environment State Key Laboratory of Bio-fibers and Eco-textilesCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China

Non-stoichiometric carbides have been proven to be effective electromagnetic wave(EMW)absorbing *** this study,phase and morphology of XZnC(X=Fe/Co/Cu)loaded on a three dimensional(3D)network structure melamine sponge(MS)carbon composites were investigated through vacuum filtration followed by *** FeZnC/CoZnC/CuZnC with carbon nanotubes(CNTs)were uniformly dispersed on the surface of melamine sponge carbon skeleton and Co-containing sample exhibits the highest CNTs *** minimum reflection loss(RL_(min))of the CoZnC/MS composite(m_(composite):m_(paraffin)=1:1,m represents mass)reached-33.60 dB,and the effective absorption bandwidth(EAB)reached 9.60 *** outstanding electromagnetic wave absorption(EMWA)properties of the CoZnC/MS composite can be attributed to its unique hollow structure,which leads to multiple reflections and *** formed conductive network improves dielectric and conductive *** incorporation of Co enhances the magnetic loss capability and optimizes interfacial polarization and dipole *** simultaneously improving dielectric and magnetic losses,ex-cellent impedance matching performance is *** clarification of element replacement in XZnC/MS composites provides an effi-cient design perspective for high-performance non-stoichiometric carbide EMW absorbers.

关键词： electromagnetic wave absorption three dimensional network structure melamine sponge derived carbon non-stoichiometric carbide

Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning

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Journal of Environmental Sciences 2025年第1期147卷 259-267页

作者： Jin-Man Cao Yu-Qian liu Yan-Qing liu Shu-Dan Xue Hai-Hong Xiong Chong-Lin Xu Qi Xu Gui-lan Duan State Key Lab of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450052China University of Chinese Academy of Sciences Beijing 100049China

Arsenic(As)pollution in soils is a pervasive environmental *** immobilization offers a promising solution for addressing soil As *** efficiency of biochar in immobilizing As in soils primarily hinges on the characteristics of both the soil and the ***,the influence of a specific property on As immobilization varies among different studies,and the development and application of arsenic passivation materials based on biochar often rely on empirical *** enhance immobilization efficiency and reduce labor and time costs,a machine learning(ML)model was employed to predict As immobilization efficiency before biochar *** this study,we collected a dataset comprising 182 data points on As immobilization efficiency from 17 publications to construct three ML *** results demonstrated that the random forest(RF)model outperformed gradient boost regression tree and support vector regression models in predictive *** importance analysis and partial dependence plots based on the RF model were conducted to identify the most crucial factors influencing As *** findings highlighted the significant roles of biochar application time and biochar pH in As immobilization efficiency in ***,the study revealed that Fe-modified biochar exhibited a substantial improvement in As *** insights can facilitate targeted biochar property design and optimization of biochar application conditions to enhance As immobilization efficiency.

关键词： Biochar Arsenic immobilization Soil Machine learning

Review of recent advances in ferrite-based materials:From synthesis techniques to electromagnetic wave absorption performance

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 591-608页

作者： Xingliang Chen Di lan Luoting Zhou Hailing liu Xiyu Song Shouyu Wang Zhuanyong Zou Guanglei Wu Shaoxing Key Laboratory of High Performance Fibers&Products Key Laboratory of Clean Dyeing and Finishing Technology of Zhejiang ProvinceShaoxing UniversityShaoxing 312000China School of Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002China Chinatesta(Zhejiang)Testing Services Co. Ltd.Shaoxing 312000China Institute of Materials for Energy and Environment State Key Laboratory of Bio-fibers and Eco-textilesCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China

With the booming development of electronic information science and 5G communication technology,electromagnetic radi-ation pollution poses a huge threat and damage to *** novel and high-performance electromagnetic wave(EMW)ab-sorbers is an effective method to solve the above issue and has attracted the attention of many *** a typical magnetic material,ferrite plays an important role in the design of high-performance EMW absorbers,and related research focuses on diversified synthesis methods,strong absorption performance,and refined microstructure ***,we focus on the synthesis of ferrites and their composites and introduce recent advances in the high-temperature solid-phase method,sol-gel method,chemical coprecipitation method,and solvent thermal method in the preparation of high-performance EMW *** review aims to help researchers understand the advantages and disadvantages of ferrite-based EMW absorbers fabricated through these *** also provides important guidance and reference for researchers to design high-performance EMW absorption materials based on ferrite.

关键词： ferrite electromagnetic wave absorber sol-gel method magnetic material solvent thermal method

Metal-organic polyhedra as dynamic cross-linker for recyclable mixed matrix membranes with promising dimension stability

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Science China Chemistry 2025年第2期68卷 705-713页

作者： Linjie lan Mingxin Zhang Haiyan Xiao Wei liu-Fu Yuyan Lai Jiadong Chen Jia-Fu Yin Panchao Yin State Key Laboratory of Luminescent Materials and Devices&South China Advanced Institute for Soft Matter Science and Technology Guangdong Basic Research Center of Excellence for Energy and Information Polymer MaterialsSouth China University of TechnologyGuangzhou 510641China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine ChemistrySchool of Chemical Engineering and TechnologyHainan UniversityHaikou 570228China

Mixed matrix membranes(MMMs)are designed by incorporating microporous inorganic fillers into polymer matrix for the integration of inorganics’excellent gas separation performance with polymers’promising ***,due to the complex interphase interaction,the prevention of long-term aging is still challenging and the poor processability/recyclability of MMMs hinders their extensive ***,a coordination assembly protocol is developed for the fabrication of MMMs with both excellent processability/recyclability upon thermal annealing and promising dimension stability even under high gas *** bearing isophthalic acid(IPA)as side chains are applied to coordinate with Cu^(2+)and the assembled 2.5 nm microporous metal-organic polyhedra(MOP),{Cu_(24)IPA_(24)},serves as multi-functional cross-linkers for the polymer network *** MOPs’well-defined microporosity grants MMMs the capability for O_(2)/N_(2) separation while their activated dynamics at high temperatures(>120℃)endows polymer networks with excellent *** contrast to conventional supramolecular units,the MOPs possess unique logarithmic ligand-exchange kinetics and they show nearly frozen bonding dynamics at room temperature,ensuring promising dimensional stability to overcome the long-term aging and high gas pressure *** work not only provides fundamental understanding of the unique relaxation dynamics of complex systems with intertwined dynamics of supramolecular bonds and polymer chains,but also paves new avenues for the fabrication of robust and recyclable MMMs and elastomers.

关键词： dynamic bonding metal-organic polyhedra mixed matrix membrane polymer recycling gas separation

High-dimensional large-scale mixed-type data imputation under missing at random

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Science China Mathematics 2025年

作者： Wei liu Guizhen Li Ling Zhou lan Luo School of Mathematics Sichuan University Center of Statistical Research and School of Statistics Southwestern University of Finance and Economics Department of Statistics and Actuarial Science University of Iowa

Missingness in mixed-type variables is commonly encountered in a variety of areas. The requirement of complete observations necessities data imputation when a moderate or large proportion of data is ***, inappropriate imputation would downgrade the performance of machine learning algorithms, leading to bad predictions and unreliable statistical inference. For high-dimensional large-scale mixed-type missing data, we develop a computationally efficient imputation method, missing value imputation via generalized factor models（MIG）, under missing at random. The proposed MIG method allows missing variables to be of different types,including continuous, binary, and count variables, and are scalable to both data size n and variable dimension p while existing imputation methods rely on restrictive assumptions such as the same type of missing variables,the low dimensionality of variables, and a limited sample size. We explicitly show that the imputation error of the proposed MIG method diminishes to zero with the rate Op(max{n-1/2, p-1/2}) as both n and p tend to infinity. Five real datasets demonstrate the superior empirical performance of the proposed MIG method over existing methods that the average normalized absolute imputation error is reduced by 5.3%–34.1%.

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Three-in-one erlotinib-modified NIR photosensitizer for fluorescence imaging and synergistic chemo-photodynamic therapy

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Chinese Chemical Letters 2025年第2期36卷 323-327页

作者： Du liu Yuyan Li Hankun Zhang Benhua Wang Chaoyi Yao Minhuan lan Zhanhong Yang Xiangzhi Song College of Chemistry & Chemical Engineering Central South University

Photodynamic therapy(PDT) presents a promising avenue in cancer treatment. Erlotinib, an FDAapproved anticancer drug targeting epidermal growth factor receptor(EGFR), has shown effectiveness in normalizing tumor vasculature across various tumors, thereby promoting tumor oxygenation and facilitating PDT. In this work, erlotinib was conjugated with a near-infrared(NIR) photosensitizer,benzo[a]phenoselenazinium, yielding three EGFR-targeted PDT agents(NBSe-n C-Er). These newly synthesized photosensitizers demonstrate specificity in binding to EGFR, thereby enhancing their accumulation in cancer cells and tumors, and consequently improving the efficiency of both PDT and ***, the NIR fluorescence emitted by the photosensitizer allows for imaging-guided therapy, offering a non-invasive means of monitoring treatment progress. The distinctive properties of the three-inone photosensitizer render it an ideal candidate for precise tumor treatment, overcoming the limitations of conventional therapies.

关键词： Benzo[a]phenoselenazinium Chemotherapy Fluorescence imaging Photodynamic therapy Photosensitizer

Gut microbiota-astrocyte axis: new insights into age-related cognitive decline

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Neural Regeneration Research 2025年第4期20卷 990-1008页

作者： lan Zhang Jingge Wei Xilei liu Dai Li Xiaoqi Pang Fanglian Chen Hailong Cao Ping Lei Haihe Laboratory of Cell Ecosystem Department of GeriatricsTianjin Medical University General HospitalTianjinChina Tianjin Geriatrics Institute Tianjin Medical University General HospitalTianjinChina Department of Gastroenterology and Hepatology Tianjin Medical University General HospitalNational Key Clinical SpecialtyTianjin Institute of Digestive DiseasesTianjin Key Laboratory of Digestive DiseasesTianjinChina Department of Urology Tianjin Medical University General HospitalTianjinChina Tianjin Neurological Institution Tianjin Medical University General HospitalTianjinChina

With the rapidly aging human population,age-related cognitive decline and dementia are becoming increasingly prevalent *** is considered the main risk factor for cognitive decline and acts through alterations in the composition of the gut microbiota,microbial metabolites,and the functions of *** microbiota–gut–brain axis has been the focus of multiple studies and is closely associated with cognitive *** article provides a comprehensive review of the specific changes that occur in the composition of the gut microbiota and microbial metabolites in older individuals and discusses how the aging of astrocytes and reactive astrocytosis are closely related to age-related cognitive decline and neurodegenerative *** article also summarizes the gut microbiota components that affect astrocyte function,mainly through the vagus nerve,immune responses,circadian rhythms,and microbial ***,this article summarizes the mechanism by which the gut microbiota–astrocyte axis plays a role in Alzheimer’s and Parkinson’s *** findings have revealed the critical role of the microbiota–astrocyte axis in age-related cognitive decline,aiding in a deeper understanding of potential gut microbiome-based adjuvant therapy strategies for this condition.

关键词： age aging Alzheimer’s disease astrocytes cognitive decline dementia gut microbiota gut–brain axis microbial metabolites neuroinflammation Parkinson’s disease

Post-silking leaf senescence is delayed in low-N-tolerant maize cultivars under low N fertilization

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Crop Journal 2025年第1期13卷 246-256页

作者： Wei, Gui Wang, Xinglong Wu, Yawei liu, Fan lan, Tianqiong liu, Qinlin Lyu, Chengcheng Kong, Fanlei Yuan, Jichao College of Agronomy Sichuan Agricultural University Sichuan Chengdu 611130 China Key Laboratory of Crop Ecophysiology and Farming System in Southwest China Ministry of Agriculture Sichuan Chengdu 611130 China Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province Sichuan Chengdu 611130 China

A four-year field experiment was conducted with two cultivars and four N rate to investigate the spatio-temporal characteristics of leaf senescence in maize after silking and its response to N fertilizer rates on them, as well as to reveal the differences in post-silking chlorophyll degradation between low-N-tolerant cultivars. The results showed that the order of leaf senescence after silking in maize was lower leaf > upper leaf > ear leaf, leaf tip > middle > base. Increasing N fertilizer down-regulated the expression of ZmCLH2 and ZmPPH in the leaves at 10–30 d after silking, reducing CLH and PPH activities, thereby delaying the leaf senescence. These effects were more prominent in low-N-sensitive cultivar Xianyu 508 (XY508) than in low-N-tolerant cultivar Zhenghong 311 (ZH311), especially in the lower leaves and leaf tip. Under low N condition, leaf yellowing and chlorophyll degradation occurred later and slower in ZH311 than in XY508. This resulted in a higher post-silking dry matter accumulation and grain yield in ZH311, which may be one of the important physiological bases of low nitrogen tolerant cultivars. Future research should focus on developing low-N-tolerant maize cultivars with slower leaf senescence near the ear after silking. © 2024

关键词： Chlorophyll degradation Low-N-tolerant maize variety Nitrogen fertilizer Spatio-temporal characteristics