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Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment

Engineering 2024年第5期36卷 51-62页

作者： Hong-Cheng wang yu-qi wang Xu wang Wan-Xin Yin Ting-Chao yu Chen-Hao Xue Ai-Jie wang State Key Laboratory of Urban Water Resource and Environment School of Civil and Environmental EngineeringHarbin Institute of Technology(Shenzhen)Shenzhen 518055China Key Laboratory of Drinking Water Safety and Distribution Technology of Zhejiang Province College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou 310058China

The potential for reducing greenhouse gas(GHG)emissions and energy consumption in wastewater treatment can be realized through intelligent control,with machine learning(ML)and multimodality emerging as a promising ***,we introduce an ML technique based on multimodal strategies,focusing specifically on intelligent aeration control in wastewater treatment plants(WWTPs).The generalization of the multimodal strategy is demonstrated on eight ML *** results demonstrate that this multimodal strategy significantly enhances model indicators for ML in environmental science and the efficiency of aeration control,exhibiting exceptional performance and *** random forest with visual models achieves the highest accuracy in forecasting aeration quantity in multimodal models,with a mean absolute percentage error of 4.4%and a coefficient of determination of *** testing in a full-scale plant reveals that the multimodal model can reduce operation costs by 19.8%compared to traditional fuzzy control *** potential application of these strategies in critical water science domains is *** foster accessibility and promote widespread adoption,the multimodal ML models are freely available on GitHub,thereby eliminating technical barriers and encouraging the application of artificial intelligence in urban wastewater treatment.

关键词： Wastewater treatment Multimodal machine learning Deep learning Aeration control Interpretable machine learning

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L-Type Calcium Channel Modulates Low-Intensity Pulsed Ultrasound-Induced Excitation in Cultured Hippocampal Neurons

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Neuroscience Bulletin 2024年第7期40卷 921-936页

作者： Wen-Yong Fan Yi-Ming Chen Yi-Fan wang yu-qi wang Jia-qi Hu Wen-Xu Tang Yi Feng qian Cheng Lei Xue State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Fudan UniversityShanghai 200433China Department of Physiology and Neurobiology School of Life SciencesFudan UniversityShanghai 200438China Institute of Acoustics School of Physics Science and EngineeringTongji UniversityShanghai 200092China Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education Tongji UniversityShanghai 200070China Center for Rehabilitation Medicine Department of Pain ManagementZhejiang Provincial People's HospitalAffliated People's HospitalHangzhou Medical CollegeHangzhou 310014China Department of Critical Care Medicine Shanghai General HospitalShanghai Jiaotong University School of MedicineShanghai 200080China Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 201210China Research Institute of Intelligent Complex Systems Fudan UniversityShanghai 200433China

As a noninvasive technique,ultrasound stimulation is known to modulate neuronal activity both in vitro and in *** latest explanation of this phenomenon is that the acoustic wave can activate the ion channels and further impact the electrophysiological properties of targeted ***,the underlying mechanism of low-intensity pulsed ultrasound(LIPUS)-induced neuro-modulation effects is still ***,we characterize the excitatory effects of LIPUS on spontaneous activity and the intracellular Ca^(2+)homeostasis in cultured hippocampal *** whole-cell patch clamp recording,we found that 15 min of 1-MHz LIPUS boosts the frequency of both spontaneous action potentials and spontaneous excitatory synaptic currents(sEPSCs)and also increases the amplitude of sEPSCs in hippocampal *** phenomenon lasts for>10 min after LIPUS *** with Ca^(2+)imaging,we clarified that LIPUS increases the[Ca^(2+)]cyto level by facilitating L-type Ca^(2+)channels(LTCCs).In addition,due to the[Ca^(2+)]cyto elevation by LIPUS exposure,the Ca^(2+)-dependent CaMKII-CREB pathway can be activated within 30 min to further regulate the gene transcription and protein *** work suggests that LIPUS regulates neuronal activity in a Ca^(2+)-dependent manner via *** may also explain the multi-activation effects of LIPUS beyond *** stimulation potentiates spontaneous neuronal activity by increasing Ca^(2+)influx.

关键词： Low-intensity pulsed ultrasound Neuromodulation L-type calcium channel Hippocampal neuron

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Weak Poincaré Inequalities,Decay of Markov Semigroups and Concentration of Measures

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Acta Mathematica Sinica,English Series 2005年第4期21卷 937-942页

作者： Feng yu wang qi Zhi ZHANG School of Mathematical Sciences Beijing Normal University Beijing 100875 P. R. China

For a reasonable class of weak Poincaré inequalities, the decay of the corresponding Markov semigroups obtained earlier by Rockner and the first named author is improved by removing an extra L^2-norm. Next, a concentration estimate of the reference measure is presented for the weak Poincaré inequality, which is sharp as illustrated by some examples of one-dimensional diffusion processes.

关键词： Weak Poincaré inequality Markov semigroup Concentration of measures

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In-situ ECSTM investigation of H_(2)O_(2)production in cobalt–porphyrin-catalyzed oxygen reduction reaction

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Science China Chemistry 2023年第1期66卷 273-278页

作者： Ya-Chen Feng Xiang wang Zhen-yu Yi yu-qi wang Hui-Juan Yan Dong wang CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular SciencesBeijing National Laboratory for Molecular Science(BNLMS)Institute of ChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Bejing 100049China

We report the in-situ investigation of the production of H_(2)O_(2)in 5,10,15,20-tetra(4-methoxyphenyl)-21H,23H-porphyrin cobalt(Ⅱ)(Co TMPP)-catalyzed oxygen reduction reaction(ORR)in neutral electrolytes by electrochemical scanning tunneling microscopy(ECSTM)at the molecular *** adsorption of OOH-on active sites can be observed in STM images and is found to be correlated with the pH value of the *** thermodynamic parameters of the formation of Co TMPP–OOHcomplex are extracted by the quantitative analysis of the STM *** stages of the ORR including the formation of H_(2)O_(2)and further reduction of H_(2)O_(2)at different reduction potentials can be revealed by electrochemical ***-situ ECSTM experiments unambiguously identify the formation of the Co TMPP–OOH-complex as the high contrast species and its reduction and oxidation *** work provides the direct evidence for understanding the formation and transformation process of H_(2)O_(2)at the molecular scale,which benefits the rational design of the high-efficiency electrocatalysts for ORR and H_(2)O_(2)production.

关键词： electrochemical scanning tunnelling microscopy H_(2)O_(2)production cobalt-porphyrin oxygen reduction reaction

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Fabrication of Cu(OH)_2 Nanowires Blended Poly(vinylidene fluoride) Ultrafiltration Membranes for Oil-Water Separation

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Chinese Journal of Polymer Science 2018年第5期36卷 612-619页

作者： Ye wang Ting-Ting Hu Xiao-Long Han yu-qi wang Ji-Ding Li School of Chemical Engineering Northwest University The State Key Laboratory of Chemical Engineering Department of Chemical Engineering Tsinghua University

Cu（OH）2 nanowires were prepared and incorporated into poly（vinylidene fluoride）（PVDF） to fabricate Cu（OH）2-PVDF ultrafiltration（UF） membrane via immersion precipitation phase inversion process. The effect of Cu（OH）2 nanowires on the morphology of membranes was investigated by X-ray photoelectron spectroscopy（XPS）, Fourier transform infrared（FTIR） spectroscopy, atomic force microscopy（AFM）, scanning electron microscopy（SEM） and X-ray diffraction（XRD） measurements. The results showed that all the Cu（OH）2-PVDF membranes had wider fingerlike pore structure and better hydrophilicity, smoother surface than pristine PVDF membrane due to the incorporation of Cu（OH）2 nanowires. In addition, water flux and bovine serum albumin（BSA） rejection were also measured to investigate the filtration performance of membranes. The results indicated that all the Cu（OH）2-PVDF membranes had high water flux, outstanding BSA rejection and excellent antifouling properties. It is worth mentioning that the optimized performance could be obtained when the Cu（OH）2 nanowires content reached 1.2 wt%. Furthermore, the membrane with 1.2 wt% Cu（OH）2 nanowires showed outstanding oil-water emulsion separation capability.

关键词： Cu(OH)2 nanowires PVDF UF membrane Oil-Water emulsion separation

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State-sensitive convolutional sparse coding for potential biomarker identification in brain signals

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Science China(Information Sciences) 2024年第5期67卷 270-286页

作者： Puli wang yu qi Gang PAN College of Computer Science and Technology Zhejiang University State Key Laboratory of Brain-Machine Intelligence Zhejiang University MOE Frontier Science Center for Brain Science and Brain-machine Integration Zhejiang University Affiliated Mental Health Center & Hangzhou Seventh People's Hospital Zhejiang University School of Medicine

The identification of prototypical waveforms, such as sleep spindles and epileptic spikes, is crucial for the diagnosis of neurological disorders. These prototypical waveforms are usually recurrently presented in certain brain states, serving as potential biomarkers for clinical evaluations. Convolutional sparse coding(CSC) approaches have demonstrated strength in identifying recurrent patterns in time-series. However,existing CSC approaches do not explicitly explore state-specific patterns, making it difficult to identify state-related biomarkers. To address this problem, we propose state-sensitive CSC to learn state-specific prototypical waveforms. Specifically, we model signals of a certain state with specific waveforms that only appear frequently in this state and background waveforms that are independent of states. Based on this,state-sensitive CSC separates state-specific waveforms from background ones explicitly by incorporating incoherence constraints into optimizations. Experiments with epilepsy brain signals demonstrate that our approach can effectively identify prototypical waveforms in pre-ictal states, providing potential biomarkers for seizure prediction. Our approach provides a promising tool for automatic biomarker candidate identification.

关键词： convolutional sparse coding prototypical waveforms state-specific dictionary biomarker identification neural signal processing

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Regenerative material for aneurysm embolizationA 3-dimensional culture system of fibroblasts and calcium alginate gel

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Neural Regeneration Research 2011年第10期6卷 762-766页

作者： Jingdong Zhang Kan Xu Jinlu yu Jun wang qi Luo Department of Neurosurgery First Hospital of Jilin University Changchun 130021 Jilin Province China

Calcium alginate gel（CAG） has been shown to successfully model aneurysm embolization within a short period of ***,gradually degrading CAG potentially results in aneurysm *** the present study,a regenerative embolic material was designed by seeding rat fibroblasts in a *** study investigated the feasibility of constructing a 3-dimensional culture *** fibroblasts grew well and firmly attached to the *** was conducive for fibroblast growth,and resulted in a 3-dimensional culture *** show that CAG can be used theoretically as a vascular,regenerative,embolic material.

关键词： intracranial aneurysm embolic material detachable coil fibroblast alginate neural regeneration

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Efficient GSH delivery using PAMAM-GSH into MPP-induced PC12 cellular model for Parkinson’s disease

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Regenerative Biomaterials 2016年第5期3卷 299-307页

作者： Hong-Ji Sun Yan wang Tong Hao Chang-Yong wang qi-yu wang Xiao-Xia Jiang Department of Advanced Interdisciplinary Studies Institute of Basic Medical Sciences and Tissue Engineering Research CenterAcademy of Military Medical Sciences27 Taiping RoadHaidian DistrictBeijing 100850People’s Republic of China

Glutathione(GSH)depletion has been an important contributor to the dysfunction of dopamine ***-GSH(PAMAM-GSH)was synthesized and the delivery effect of GSH into PC12 cells was *** assessment for cytotoxicity and reactive oxygen species(ROS)as well as nitrite oxide(NO)and intracelluar superoxide dismutase(SOD)detection for antioxidative ability were ***,the antiapoptotic ability was analysed by assessing caspase-3,JNK1/2 and Erk1/2 *** data indicated that PAMAM-GSH is an effective agent to replenish GSH into PC12 ***-GSH developed its antioxidative and protective ability for 1-methyl-4-phenylpyridinium(MPP)-induced PC12 cells by reducing the intracellular levels of ROS and SOD activity as well as decreasing the release of ***,PAMAM-GSH could inhibit caspase-3 activation and might show its antiapoptotic ability to MPP-induced PC12 cells through JNK2/Erk1/2 *** summary,these studies suggest that PAMAM-GSH conjugate has an intrinsic ability to penetrate PC12 cells and deliver GSH into these cells which may provide a new strategy for clinical applications in the treatment of Parkinson’s disease.

关键词： polyamidoamine glutathione MPP PC12 cells Parkinson’s disease

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Digital light processing based multimaterial 3D printing:challenges,solutions and perspectives

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International Journal of Extreme Manufacturing 2024年第4期6卷 151-174页

作者： Jianxiang Cheng Shouyi yu Rong wang qi Ge Shenzhen Key Laboratory of Soft Mechanics&Smart Manufacturing Southern University of Science and TechnologyShenzhen 518055People's Republic of China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055People's Republic of China

Multimaterial(MM)3D printing shows great potential for application in metamaterials,flexible electronics,biomedical devices and robots,since it can seamlessly integrate distinctive materials into one printed *** numerous MM 3D printing technologies,digital light processing(DLP)MM 3D printing is compatible with a wide range of materials from hydrogels to ceramics,and can print MM 3D structures with high resolution,high complexity and fast *** paper introduces the fundamental mechanisms of DLP 3D printing,and reviews the recent advances of DLP MM 3D printing technologies with emphasis on material switching methods and material contamination *** also summarizes a number of typical examples of DLP MM 3D printing systems developed in the past decade,and introduces their system structures,working principles,material switching methods,residual resin removal methods,printing steps,as well as the representative structures and ***,we provide perspectives on the directions of the further development of DLP MM 3D printing technology.

关键词： multimaterial 3D printing digital lightprocessing multimaterial 3Dstructures

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Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1786-1801页

作者： Sheng qi Rui wang Tao Zhang Weixiong Huang Fan yu Ling wang College of Systems Engineering National University of Defense TechnologyChangsha 410073China College of Systems Engineering National University of Defense TechnologyChangsha 410073and also with the Xiangjiang LaboratoryChangsha 410205China College of Transportation and Engineering Central South UniversityChangsha 410073China Department of Automation Tsinghua UniversityBeijing 100084China

Sparse large-scale multi-objective optimization problems(SLMOPs)are common in science and ***,the large-scale problem represents the high dimensionality of the decision space,requiring algorithms to traverse vast expanse with limited computational ***,in the context of sparse,most variables in Pareto optimal solutions are zero,making it difficult for algorithms to identify non-zero variables *** paper is dedicated to addressing the challenges posed by *** start,we introduce innovative objective functions customized to mine maximum and minimum candidate *** substantial enhancement dramatically improves the efficacy of frequent pattern *** this way,selecting candidate sets is no longer based on the quantity of nonzero variables they contain but on a higher proportion of nonzero variables within specific ***,we unveil a novel approach to association rule mining,which delves into the intricate relationships between non-zero *** novel methodology aids in identifying sparse distributions that can potentially expedite reductions in the objective function *** extensively tested our algorithm across eight benchmark problems and four real-world *** results demonstrate that our approach achieves competitive solutions across various challenges.

关键词： Evolutionary algorithms pattern mining sparse large-scale multi-objective problems(SLMOPs) sparse large-scale optimization.

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