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Remediation of Pb-contaminated port sediment by biosurfactant from Bacillus sp.G1

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Transactions of Nonferrous Metals Society of China 2017年第6期27卷 1385-1393页

作者： Yi-ming GUO Yun-guo LIU Hua LI ai-bing zheng Xiao-fei TAN Ming-ming ZHANG School of Economics and Management Shanghai Maritime University Shanghai 201306 China College of Environmental Science and Engineering Hunan University Changsha 410082 China Key Laboratory of Environmental Biology and Pollution Control Ministry of Education Hunan University Changsha 410082 China

The remediation of Pb-contaminated port sediment by biosurfactant from a new isolated Bacillus sp.G1was *** removal efficiencies were investigated under multi-levels of water-solid ratio,pH and ionic *** showed thatexchangeable speciation of Pb could be removed by maximum removal capacity of76.8mg/g after *** Langmuir isothermreflected the adsorption process best to fit the experimental adsorption equilibrium *** transform infrared spectra(FTIR)indicated that C=O and-CH3may be the functional *** electron microscopy(SEM)analysis showed that thesurface of the port sediment became much smoother after adsorption interaction,which reflected that the complexation between Pbions and biosurfactant was more *** results indicated that the biosurfactant of Bacillus sp.G1could remove Pb effectivelyfrom the Pb-contaminated port sediment(PCPS)and suggested a novel method for PCPS remediation.

关键词： plumbum sediment surfactant remediation

Synergistic effect of bonding heterogeneity and phonon localization in introducing excellent thermoelectric properties in layered heteroanionic NdZnSbO material

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Journal of Energy Chemistry 2025年第1期100卷 259-272页

作者： Da Wan Shuwei Tang Shulin Bai Xiaodong Li Peng ai Wanrong Guo Tuo zheng College of Materials Science and Engineering Liaoning Technical University Faculty of Chemistry Northeast Normal University

Layered rare-earth metal oxides, harnessing the dual properties of oxides and two-dimensional layered materials, exhibit remarkable thermal stability and quantum confinement effects. Therefore, this work adopts the first-principles calculation combined with the Boltzmann transport theory to predict the thermoelectric properties of NdZnSbO compound. The coexistence of weak interlayer van der Waals interactions, robust intralayer ionic bonding, and partial covalent bonding leads to remarkable bonding heterogeneity, which engenders pronounced phonon scattering and imposes constraints on thermal transport along the out-of-plane direction. The weakened chemical bonds induced by the antibonding states, together with the rattling-like behavior of the Zn atom, culminate in the profound anharmonicity in the layered NdZnSbO compound. The weakening bond and heavy element contribute to the softness of phonon modes, which significantly diminishes the phonon group velocity. The redistribution-dominated four-phonon scattering process spans a large optical gap, which effectively reduces the lattice thermal conductivity. The NdZnSbO compound exhibits direct semiconductor characteristic with a bandgap of 0.73 e V by adopting the Heyd-Scuseria-Ernzerhof(HSE06) functional in combination with spin–orbit coupling(SOC) effect. The multi-valley feature of NdZnSbO compound augur favorably for band degeneracy, thus amplifying the power factor. Consequently, an optimal figure-of-merit(ZT) of 3.40 at 900 K is achieved for the n-type NdZnSbO compound. The present study delves deeply insights into the origins for the low thermal conductivity of NdZnSbO compound and proposes an optimization scheme to enhance overall thermoelectric performance.

关键词： Bond strength (chemical)

Peripheral blood RNA biomarkers can predict lesion severity in degenerative cervical myelopathy

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Neural Regeneration Research 2025年第6期20卷 1764-1775页

作者： Zhenzhong zheng Jialin Chen Jinghong Xu Bin Jiang Lei Li Yawei Li Yuliang Dai bing Wang Department of Spine Surgery The Second Xiangya Hospital of Central South UniversityChangshaHunan ProvinceChina

Degenerative cervical myelopathy is a common cause of spinal cord injury,with longer symptom duration and higher myelopathy severity indicating a worse *** numerous studies have investigated serological biomarkers for acute spinal cord injury,few studies have explored such biomarkers for diagnosing degenerative cervical *** study involved 30 patients with degenerative cervical myelopathy(51.3±7.3 years old,12 women and 18 men),seven healthy controls(25.7±1.7 years old,one woman and six men),and nine patients with cervical spondylotic radiculopathy(51.9±8.6 years old,three women and six men).Analysis of blood samples from the three groups showed clear differences in transcriptomic *** analysis identified 128 differentially expressed genes that were enriched in patients with neurological *** least absolute shrinkage and selection operator analysis,we constructed a five-gene model(TBCD,TPM2,PNKD,EIF4G2,and AP5Z1)to diagnose degenerative cervical myelopathy with an accuracy of 93.5%.One-gene models(TCAP and SDHA)identified mild and severe degenerative cervical myelopathy with accuracies of 83.3%and 76.7%,*** of two immune cell types(memory B cells and memory-activated CD4^(+)T cells)predicted levels of lesions in degenerative cervical myelopathy with 80%*** results suggest that peripheral blood RNA biomarkers could be used to predict lesion severity in degenerative cervical myelopathy.

关键词： biomarkers candidate genes degenerative cervical myelopathy gene expression analysis immune cell types neurological disabilities peripheral blood RNA profiles spinal cord injury

ai-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Wenying zheng Wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an ai-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation

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提示学习中思维链生成和增强方法综述

计算机科学 2025年第1期52卷 56-64页

作者：郑明琪陈晓慧刘冰张兵张然信息工程大学数据与目标工程学院郑州450000

大语言模型凭借其卓越的语言理解和文本生成能力,在多个领域取得了突破性进展。尽管如此,其在处理复杂推理任务时的表现往往不尽如人意,准确率的提升空间依然巨大。针对这一挑战,学术界提出了思维链策略,这是一种创新的方法,通过让模型... 详细信息

大语言模型凭借其卓越的语言理解和文本生成能力,在多个领域取得了突破性进展。尽管如此,其在处理复杂推理任务时的表现往往不尽如人意,准确率的提升空间依然巨大。针对这一挑战,学术界提出了思维链策略,这是一种创新的方法,通过让模型生成推理过程来增强模型的推理性能。文中通过全面梳理和深入分析现有的思维链研究,不仅总结了其核心概念和结构框架,还详细探讨了推理生成方法和增强方法。进一步对思维链在不同任务场景中的应用进行了广泛探讨,展示了思维链在提升模型性能方面的潜力。同时,也对思维链的局限性进行了批判性分析,指出了思维链方法存在的不足。最后,对思维链的未来发展进行了前瞻性展望,旨在为思维链未来的研究方向提供指导,并为该领域的研究者提供有价值的参考和启示。

关键词：思维链大语言模型提示学习推理生成推理增强

Recent advances of dithienobenzodithiophene-based organic semiconductors for organic electronics

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Science China Chemistry 2021年第3期64卷 358-384页

作者： bing zheng Lijun Huo School of Chemistry Beihang UniversityBeijing 100191China

In recent years, fused aromatic dithienobenzodithiophene(DTBDT)-based functional semiconductors have been potential candidates for organic electronics. Due to the favorable features of excellent planarity, strong crystallinity, high mobility, and so on, DTBDT-based semiconductors have demonstrated remarkable performance in organic electronic devices, such as organic feld-effect transistor(OFET), organic photovoltaic(OPV), organic photodetectors(OPDs). Driven by this success, recent developments in the area of DTBDT-based semiconductors for applications in electronic devices are reviewed, focusing on OFET, OPV, perovskite solar cells(PSCs), and other organic electronic devices with a discussion of the relationship between molecular structure and device performance. Finally, the remaining challenges, and the key research direction in the near future are proposed, which provide a useful guidance for the design of DTBDT-based materials.

关键词： dithienobenzodithiophene organic semiconductor extended conjugation crystallinity high mobility organic electronics

Acceleration of DDT by non-thermal plasma in a single-trial detonation tube

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Chinese Journal of Aeronautics 2018年第5期31卷 1012-1019页

作者： Dianfeng zheng bing WANG College of Engineering Peking University School of Aerospace Engineering Tsinghua University

This paper compares the flame acceleration in single-trial dual-detonation tubes triggered by a spark plug and non-thermal plasma igniter. The low-temperature plasma was generated by an in-house novel AC-driven dielectric barrier discharge igniter, which reduces the power supply requirements and was applied in the quiescent ignition of a single-trial detonation tube. Three different types of detonation mixtures were tested with flame propagation tracked by ion probes and pressure waves recorded by high-frequency pressure transducers. The flame propagation speeds were calculated and compared based on signals from the ion probes. The detonation combustion succeeded in the dual tubes, but the deflagration-to-detonation transition could be significantly accelerated by the plasma for all mixtures, as it was shortened by more than 50% compared to that of the spark plug. The present study provides a suitable technological approach for igniters of PDEs.

关键词： AC driven Deflagration-to-detonation transition Dielectric barrier discharge Non-thermal plasma Pulse detonation engine

STRUCTURED CONDITION NUMBERS FOR THE TIKHONOV REGULARIZATION OF DISCRETE ILL-POSED PROBLEMS

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Journal of Computational Mathematics 2017年第2期35卷 169-186页

作者： LingshengMeng bing zheng School of Mathematics and Statistics Lanzhou University Lanzhou 730000 China

The possibly most popular regularization method for solving the least squares problem rain ‖Ax - b‖2 with a highly ill-conditioned or rank deficient coefficient matrix A is the x Tikhonov regularization method. In this paper we present the explicit expressions of the normwise, mixed and componentwise condition numbers for the Tikhonov regularization when A has linear structures. The structured condition numbers in the special cases of nonlinear structure i.e. Vandermonde and Cauchy matrices are also considered. Some comparisons between structured condition numbers and unstructured condition numbers are made by numerical experiments. In addition, we also derive the normwise, mixed and componentwise condition numbers for the Tikhonov regularization when the coefficient matrix, regularization matrix and right-hand side vector are all perturbed, which generalize the results obtained by Chu et al. [Numer. Linear Algebra Appl., 18 （2011）, 87-103].

关键词： Tikhonov regularization Discrete ill-posed problem Structured least squaresproblem Structured condition number.

Estimation of the Misclassification Error for Multicategory Support Vector Machine Classification

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Acta Mathematica Sinica,English Series 2008年第3期24卷 511-528页

作者： bing zheng LI Department of Mathematics Zhejiang University Hangzhou 310028 P. R. China

The purpose of this paper is to provide an error analysis for the multicategory support vector machine （MSVM） classificaton problems. We establish the uniform convergency approach for MSVMs and estimate the misclassification error. The main difficulty we overcome here is to bound the offset vector. As a result, we confirm that the MSVM classification algorithm with polynomial kernels is always efficient when the degree of the kernel polynomial is large enough. Finally the rate of convergence and examples are given to demonstrate the main results.

关键词： multicategory support vector machine classifier misclassification error reproducing kernel Hilbert space approximation error