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Fluoro-functionalized plant biomass adsorbent:Preparation and application in extraction of trace perfluorinated compounds from environmental water samples

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Journal of Environmental Sciences 2024年第3期137卷 703-715页

作者： Xi Tan Yan Shi Chun-Feng Ma Quan Chi Yu-Hang Yang Wen-Xiang Zhang Hua-Ming Xiao Xian Wang Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission School of Chemistry and Materials ScienceSouth-Central Minzu UniversityWuhan 430074China School of Pharmaceutical Sciences South-Central Minzu UniversityWuhan 430074China Key Laboratory of Oilseeds Processing of Ministry of Agriculture Hubei Key Laboratory of Lipid Chemistry and NutritionOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhan 430062China

Perfuorinated compounds(PFCs)are toxic and widely present in the environment,and therefore effective adsorbents are required to remove PFCs from environmental *** the present study,a new type of fuorinated biomass materials was synthesized via an ingenious fuorosilanization *** adsorbents were applied for the adsorption of 13typical PFCs,including perfuorocarboxylic acids(PFCAs)and perfuorosulfonic acids(PFSAs).By comparing their adsorption performance,Fluorinated cedar slag(FCS)was discovered to have the best absorption efficiency and enabled highly efficient enrichment of *** adsorption recovery of FCS with the investigated PFCs is greater than 90%under the optimal adsorption *** to the high affinity of F-F sorbent-sorbate interaction,FCS had good adsorption capacities of PFCs from aqueous solution,with the maximum adsorption capacity of 15.80 mg/g for PFOS and 10.71 mg/g for PFOA,***,the adsorption time could be achieved in a short time(8 min).Using the FCS absorbent,an innovative FCS-solid phase extraction assisted with high performance liquid chromatography-electrospray-tandem mass spectrometry(FCS-SPE-HPLC-ESI-MS/MS)method was first developed to sensitively detect PFCs in the environmental water *** intra-day and inter-day recovery rates of the 13 compounds ranged from 90.7%-104.3%,with the RSD of 2.1%-4.7%(intra-day)and 2.5%-8.5%(inter-day),*** research demonstrates the potential of the newly fuoro-functionalized plant biomass to adsorb PFCs from environmental water,with the advantages of high adsorption efficiencies,high antiinterference,easy operation and low economic cost.

关键词： Fluoro-functionalized biomass Perfuorinated compounds(PFCs) Adsorption efficiency Mass spectrometry(MS) Fluorinated cedar slag(FCS)

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Global Spillovers of China's Monetary Policy

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China & World Economy 2024年第3期32卷 1-30页

作者： Wenni Lei Dongzhou Mei Mi Zhang School of Economics Minzu University of ChinaChina School of International Trade and Economics Central University of Finance and EconomicsChina

Spillovers from China's monetary policy have become increasingly obvious with China's growing importance in the global economy and its close economic and trade ties with the *** study establishes a proxy structure vector autoregression model to investigate the magnitude and transmission channel of spillovers from China to global and regional economies,taking advantage of high-frequency changes in asset prices in the financial markets to identify monetary policy *** analysis reveals that China's monetary policy can affect the global economy by influencing international trade and commodity prices but there is no evidence of China's monetary policy affecting global financial *** in China's monetary policy can cause a decline in world output whereas expansion in monetary policy can support global trade and *** study also finds that the response of emerging Asian economies to China's monetary policy shock was nearly twice that of developed economies,while the transmission path did not *** results of this study are consistent with the stylized fact that China's monetary policy plays an important role in the global trade and commodity cycle,although it does not drive the global financial cycle.

关键词： China's monetary policy commodity prices external instruments global trade spillovers

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Nucleophiles promotes the decomposition of electrophilic functional groups of tetracycline in ZVI/H_(2)O_(2) system: Efficiency and mechanism

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Chinese Chemical Letters 2024年第10期35卷 414-420页

作者： Xin Li Wanting Fu Ruiqing Guan Yue Yuan Qinmei Zhong Gang Yao Sheng-Tao Yang Liandong Jing Song Bai Key Laboratory of Pollution Control Chemistry and Environmental Functional Materials for Qinghai-Tibet Plateau of the National Ethnic Affairs Commission School of Chemistry and EnvironmentSouthwest Minzu UniversityChengdu 610041China Key Laboratory of General Chemistry of the National Ethnic Affairs Commission School of Chemistry and EnvironmentSouthwest Minzu University.Chengdu 610041China Institute of Environmental Engineering RWTH Aachen UniversityAachen 52062Germany

When zero-valent iron(ZVI)is prepared and applied under neutral conditions,it is easy to form oxides or hydroxides on its surface,which hinders the electron release of *** this end,a nucleophile was introduced into the ZVI system to inhibit the precipitation of iron ions,improve the conductivity of the solution,and promote the removal efficiency of electrophilic functional groups in organic *** this study,the addition of nucleophiles such as ethylenediamine,methylamine and dimethylamine to the ZVI/H_(2)O_(2)system resulted in an enhanced removal efficiency of tetracycline(TC)under neutral condition,while electrophiles such as EDTA-2Na and oxalic acid dihydrate impeded the removal of *** results demonstrated that the presence of nucleophiles could effectively promote the release of iron ions and increase the proportion of ferrous in both aqueous solution and solid surface of *** and theoretical calculation results revealed that the electrophilic functional group was eliminated in the TC molecule,and the toxicity of the treated solution was reduced ***,this work provides a selection of the conditions and pollutants applicable to ZVI under neutral pH conditions.

关键词： ZVI Nucleophiles Tetracycline Electrophilicfunctionalgroup Electronic transfer

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L_(1)-Smooth SVM with Distributed Adaptive Proximal Stochastic Gradient Descent with Momentum for Fast Brain Tumor Detection

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Computers, Materials & Continua 2024年第5期79卷 1975-1994页

作者： Chuandong Qin Yu Cao Liqun Meng School of Mathematics and Information Science North Minzu UniversityYinchuan750021China Ningxia Key Laboratory of Intelligent Information and Big Data Processing Yinchuan750021China

Brain tumors come in various types,each with distinct characteristics and treatment approaches,making manual detection a time-consuming and potentially ambiguous *** tumor detection is a valuable tool for gaining a deeper understanding of tumors and improving treatment *** learning models have become key players in automating brain tumor *** descent methods are the mainstream algorithms for solving machine learning *** this paper,we propose a novel distributed proximal stochastic gradient descent approach to solve the L_(1)-Smooth Support Vector Machine(SVM)classifier for brain tumor ***,the smooth hinge loss is introduced to be used as the loss function of *** avoids the issue of nondifferentiability at the zero point encountered by the traditional hinge loss function during gradient descent ***,the L_(1) regularization method is employed to sparsify features and enhance the robustness of the ***,adaptive proximal stochastic gradient descent(PGD)with momentum,and distributed adaptive PGDwithmomentum(DPGD)are proposed and applied to the L_(1)-Smooth *** computing is crucial in large-scale data analysis,with its value manifested in extending algorithms to distributed clusters,thus enabling more efficient processing ofmassive amounts of *** DPGD algorithm leverages Spark,enabling full utilization of the computer’s multi-core *** to its sparsity induced by L_(1) regularization on parameters,it exhibits significantly accelerated convergence *** the perspective of loss reduction,DPGD converges faster than *** experimental results show that adaptive PGD withmomentumand its variants have achieved cutting-edge accuracy and efficiency in brain tumor ***-trained models,both the PGD andDPGD outperform other models,boasting an accuracy of 95.21%.

关键词： Support vector machine proximal stochastic gradient descent brain tumor detection distributed computing

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Transient receptor potential vanilloid 1 involved in the analgesic effects of total flavonoids extracted from Longxuejie(Resina Dracaenae Cochinchinensis)

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Journal of Traditional Chinese Medicine 2024年第3期44卷 437-447页

作者： MO Xiaoqiang CHEN Yating YIN Qian CHEN Haibo BAN Qiang LI Jun CHEN Su YAO Jinguang Department of Stomatology Affiliated Hospital of Youjiang Medical University for NationalitiesBaise 533000China College of General Practitioners Youjiang Medical University for NationalitiesBaise 533000China College of Biomedical Engineering South-Central Minzu UniversityKey Laboratory of Cognitive Science of State Ethnic Affairs CommissionHubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis and TreatmentWuhan 430074China College of Pharmacy South-Central Minzu UniversityWuhan 430074China

OBJECTIVE: To evaluate the analgesic effects of total flavonoids of Longxuejie(Resina Dracaenae Cochinchinensis)(TFDB) and explore the possible analgesic mechanism associated with transient receptor potential vanilloid 1(TRPV1).METHODS: Whole-cell patch clamp technique was used to observe the effects of TFDB on capsaicin-induced TRPV1 currents. Rat experiments in vivo were used to observe the analgesic effects of TFDB. Western blot and immunofluorescence experiments were used to test the change of TRPV1 expression in DRG neurons induced by ***: Results showed that TFDB inhibited capsaicin-induced TRPV1 receptor currents in acutely isolated dorsal root ganglion(DRG) neurons of rats and the half inhibitory concentration was(16.7 ± 1.6) mg/***(2-20 mg/kg) showed analgesic activity in the phase Ⅱ of formalin test and(0.02-2 mg per paw)reduced capsaicin-induced licking times of rats. TFDB(20 mg/kg) was fully efficacious on complete Freund's adjuvant(CFA)-induced inflammatory thermal hyperalgesia and capsaicin could weaken the analgesic effects. The level of TRPV1 expressions of DRG neurons was also decreased in TFDB-treated CFA-inflammatory pain ***: All these results indicated that the analgesic effect of TFDB may contribute to their modulations on both function and expression of TRPV1 channels in DRG neurons.

关键词： Freund's adjuvant formaldehyde capsaicin flavonoids Longxuejie(Resina Dracaenae Cochinchinensis) transient receptor potential vanilloid 1 inflammatory pain

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A privacy-preserving data aggregation system based on blockchain in VANET

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Blockchain(Research and Applications) 2024年第3期5卷 140-152页

作者： Ruicheng Yang Guofang Dong Zhengnan Xu Juangui Ning Jianming Du School of Electrical Information Technology Yunnan Minzu UniversityKunming 650500China Yunnan Key Laboratory of Unmanned Autonomous System Kunming650500China

In the realm of vehicular ad hoc networks(VANETs),data aggregation plays a pivotal role in bringing together data from multiple vehicles for further processing and *** data feedback can significantly impact vehicle operations,control,and overall safety,necessitating the assurance of security in vehicular data *** the security risks and challenges inherent in data aggregation within VANETs,this paper introduces a blockchain-based scheme for secure and anonymous data *** proposed scheme integrates cloud computing with blockchain technology,presenting a novel blockchain-based data aggregation system that robustly supports efficient and secure data collection in *** key escrow resilience mechanisms,the solution ensures the security of system keys,preventing the security problems caused by keys generated by third parties alone in the ***,through secondary data aggregation,fine-grained data aggregation is achieved,providing effective support for cloud services in *** effectiveness of the proposed scheme is confirmed through security analysis and performance evaluations,demonstrating superior computational and communication efficiency compared existing alternatives.

关键词： Vehicular ad hoc networks Data aggregation Blockchain Key escrow resilience Anonymity

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Impact of a 12-wk physical conditioning program on the aerobic capacity of aviation cadets

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World Journal of Clinical Cases 2024年第20期12卷 4239-4246页

作者： Hao Luo Ding-Yu Zhao Juan Li School of Sports and Human Sciences Beijing Sport UniversityBeijing 100084China School of Physical Education Shanxi UniversityTaiyuan 030006Shanxi ProvinceChina College of Physical Education and Health Guangxi Minzu UniversityNanning 530006Guangxi Zhuang Autonomous RegionChina

BACKGROUND Flight cadets need to have good physical fitness to cope with the challenges of flying *** continuous development of science and technology has led to the constant upgrading of fighter jets and the improvement of their performance,which has resulted in new and higher requirements for the physical fitness of flight *** traditional physical training mode,method,and assessment have been used for many years and do not meet current fitness *** To investigate the impact of a 12-wk comprehensive anti-G fitness training program on the aerobic capacity of aviation cadets and to evaluate its *** Fifty-five cadets were randomly assigned to control and experimental groups using a randomized,single-blind *** control group maintained their existing training regimen,while the experimental group participated in a 12-wk comprehensive training *** training program comprised strength training twice per week,high-intensity interval training three times per week,and supplemental nutritional and psychological *** oxygen uptake(VO2max),lower limb strength,and hemoglobin levels were measured at baseline,at 6 wk and 12 wk *** Repeated measures analysis of variance revealed significant differences of both VO2max and relative VO2 in both groups across time points(P0.05).Paired t-tests comparing baseline and 12-wk results showed that VO2max and relative VO2 were significantly higher in the experimental group than the control group(P0.05).CONCLUSION A 12-wk comprehensive anti-G fitness trainin

关键词： Aviation cadets Aerobic capacity Physical training High-intensity interval training,Anti-G fitness

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Rule acquisition of three-way semi-concept lattices in formal decision context

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 333-347页

作者： Jie Zhao Renxia Wan Duoqian Miao Boyang Zhang School of Mathematics and Information Science North Minzu UniversityYinchuanNingxiaChina Department of Computer Science and Technology Tongji UniversityShanghaiChina Department of Computer Science Bowling Green State UniversityBowling GreenOhioUSA

Three-way concept analysis is an important tool for information processing,and rule acquisition is one of the research hotspots of three-way concept ***,compared with three-way concept lattices,three-way semi-concept lattices have three-way operators with weaker constraints,which can generate more *** this article,the problem of rule acquisition for three-way semi-concept lattices is discussed in *** authors construct the finer relation of three-way semi-concept lattices,and propose a method of rule acquisition for three-way semi-concept *** authors also discuss the set of decision rules and the relationships of decision rules among object-induced three-way semi-concept lattices,object-induced three-way concept lattices,classical concept lattices and semi-concept ***,examples are provided to illustrate the validity of our conclusions.

关键词： finer relation rule acquisition three-way concept analysis three-way semi-concept lattices

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Polyvinyl alcohol fiber cement-stabilized macadam:A review and performance evaluation

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 406-423页

作者： Chaohui Wang Jikang Liu Shaochang Chen Feng Chen Zhiwei Gao School of Highway Chang'an UniversityXi'an 710064China Shaanxi Transportation Technology Consulting Co. Ltd.Xi'an 710068China School of Information Engineering Xizang Minzu UniversityXianyang 712082China

This review evaluated research results on polyvinyl alcohol fiber cement-stabilized macadam(PVA-FCSM)to further improve the long-term durability of road structures and promote its in-depth study and high-quality *** suitable PVA fiber technical indexes for ordinary cement-stabilized macadam(CSM)were *** difference in the mechanical properties between CSM and PVA-FCSM was *** extent to which PVA fibers enhance the durability of CSM were ***,the mechanism of enhancement of CSM by PVA fibers was ***,the performance of each type of fiber cement-stabilized macadam(FCSM)was compared and *** results indicated that the suggested PVA fiber length and content for CSM were 12-30 mm and 0.6-1.2 kg/m^(3),*** different ages,the mean degree of improvement in the unconfined compressive strength was 14%,20%,and 14%,that in the compressive resilience modulus was 8%,11%,and 6%,and that in the splitting strength was 29%,15%,and 22%,*** different ages,the mean degree of decreased in the dry shrinkage coefficient was 21%,16%,and 15%and that in the temperature shrinkage coefficient(20℃-30℃)was 23%,23%,and 18%,*** coefficients increased with extended curing ***,at the same stress level,PVA-FCSM has a higher fatigue life compared to *** bridging effect,high strength,and high modulus of PVA fiber enhance the strength and anti-cracking of *** recommended fiber type for CSM is PVA fiber.

关键词： Highway and railway engineering PVA fiber cement-stabilized macadam Mechanical performance Durability Enhancement mechanism Performance valuation

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Machine learning model based on non-convex penalized huberized-SVM

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Journal of Electronic Science and Technology 2024年第1期22卷 81-94页

作者： Peng Wang Ji Guo Lin-Feng Li School of Finance and Economics Xizang Minzu UniversityXianyang712082China Research Center for Quality Development of Xizang Special Industries Xianyang712082China School of Computer Science and Technology Xinjiang UniversityUrumqi830017China

The support vector machine(SVM)is a classical machine learning *** the hinge loss and least absolute shrinkage and selection operator(LASSO)penalty are usually used in traditional ***,the hinge loss is not differentiable,and the LASSO penalty does not have the Oracle *** this paper,the huberized loss is combined with non-convex penalties to obtain a model that has the advantages of both the computational simplicity and the Oracle property,contributing to higher accuracy than traditional *** is experimentally demonstrated that the two non-convex huberized-SVM methods,smoothly clipped absolute deviation huberized-SVM(SCAD-HSVM)and minimax concave penalty huberized-SVM(MCP-HSVM),outperform the traditional SVM method in terms of the prediction accuracy and classifier *** are also superior in terms of variable selection,especially when there is a high linear correlation between the *** they are applied to the prediction of listed companies,the variables that can affect and predict financial distress are accurately filtered *** all the indicators,the indicators per share have the greatest influence while those of solvency have the weakest *** companies can assess the financial situation with the indicators screened by our algorithm and make an early warning of their possible financial distress in advance with higher precision.

关键词： Huberized loss Machine learning Non-convex penalties Support vector machine(SVM)

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