Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple mach...Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple machine learning prediction models,including shield attitude deviations and tunneling speed,and optimized the hyperparameters of these models using Bayesian algorithms.Subsequently,a constrained grey wolf optimization(GWO)algorithm was employed to establish a real-time safety control method for attitude that considers tunneling efficiency,by dynamically updating the upper and lower bounds for adjustable parameters.The results indicate that the k-nearest neighbors(KNN)model achieved the highest prediction accuracy;however,due to its specific algorithmic principles,KNN is unsuitable for optimization tasks.Embedding the extreme gradient boosting model into the GWO algorithm yielded the best attitude control performance:the absolute attitude deviations were reduced by an average of 45.1%compared to actual values,while the rate of change for adjustable parameters did not exceed 30%.This approach ensures safety and tunneling efficiency during attitude correction and exhibits universal applicability.Compared with other optimization algorithms,GWO demonstrated significant advantages in both optimization effectiveness and computational time.展开更多
Phototrophy and chemotrophy are two dominant types of microbial metabolism.However,to date,the potential of the ubiquitous and versatile mechanical energy as a renewable energy source to drive the growth of microorgan...Phototrophy and chemotrophy are two dominant types of microbial metabolism.However,to date,the potential of the ubiquitous and versatile mechanical energy as a renewable energy source to drive the growth of microorganisms has remained unknown and not utilized.Here,we present evidence in favor of a previously unidentified metabolic pathway,in which the electronic energy produced from mechanical energy by the piezoelectric materials is used to support the growth of microorganisms.When electroactive microorganism Rhodopseudomonas palustris(R.palustris;with barium titanate nanoparticles)was mechanically stirred,a powerful biohybrid piezoelectric effect(BPE)enabled sustainable carbon fixation coupled with nitrate reduction.Transcriptomic analyses demonstrated that mechanical stirring of the bacteria–barium titanate biohybrid led to upregulation of genes encoding functions involved in electron and energy transfer in R.palustris.Studies with other electroactive microorganisms suggested that the ability of microbes to utilize BPE may be a common phenomenon in the microbial world.Taken together,these findings imply a long-neglected and potentially important microbial metabolic pathway,with potential importance to microbial survival in the energy-limited environments.展开更多
Granular acid-activated neutralized red mud(AaN-RM)has been successfully prepared with good chemical stability and physical strength.However,its potential for industrial application remains unknown.Therefore,the perfo...Granular acid-activated neutralized red mud(AaN-RM)has been successfully prepared with good chemical stability and physical strength.However,its potential for industrial application remains unknown.Therefore,the performance of granular AaN-RM for phosphate recovery in a fixed-bed column was investigated.The results demonstrated that the phosphate adsorption performance of granular AaN-RM in a fixed-bed column was affected by various operational parameters,such as the bed depth,flow rate,initial solution pH and initial phosphate concentration.With the optimal empty-bed contact time(EBCT)of 24.27 min,the number of processed bed volumes and the phosphate adsorption capacity reached 496.95 and 84.80 mg/g,respectively.Then,the saturated fixed-bed column could be effectively regenerated with a0.5 mol/L HCl solution.The desorption efficiency remained as high as 83.45%with a low weight loss of 3.57%in the fifth regeneration cycle.In addition,breakthrough curve modelling showed that a 5-9-1 feed-forward artificial neural network(ANN)could be effectively applied for the optimization of the fixed-bed adsorption system;the coefficient of determination(R^2)and the root mean square error(RMSE)evaluated on the validation-testing data were 0.9987 and 0.0183,respectively.Therefore,granular AaN-RM fixed-bed adsorption exhibits promising potential for phosphate removal and recovery from polluted water.展开更多
The understanding of microbial energy acquisition is currently being reshaped.Traditional microbiology has centered on two primary energy acquisition modes:phototrophy,which captures light energy,and chemotrophy,which...The understanding of microbial energy acquisition is currently being reshaped.Traditional microbiology has centered on two primary energy acquisition modes:phototrophy,which captures light energy,and chemotrophy,which extracts energy by oxidizing chemical compounds(Fig.1a).While these modes constitute the cornerstone of microbial bioenergetics and the evolution of metabolism,recent discoveries have revealed that microbes can also use alternative energy acquisition strategies that extend beyond this classical dichotomy.展开更多
This review introduces piezoelectrotrophy as a novel paradigm in microbial energy acquisition,complementing phototrophy,chemotrophy,and electrotrophy.We define piezoelectrotrophy as the process enabling microorganisms...This review introduces piezoelectrotrophy as a novel paradigm in microbial energy acquisition,complementing phototrophy,chemotrophy,and electrotrophy.We define piezoelectrotrophy as the process enabling microorganisms to harness mechanical energy via piezoelectric mechanisms,converting it into electrical energy for cellular metabolism.This expands microbial energy utilization beyond light and chemical sources to ubiquitous mechanical energy in natural systems.We propose a framework for piezoelectromicrobiology,emphasizing the nano-bio interface for electron generation,transfer,and uptake.The concept carries profound ecological and evolutionary implications,from cellular metabolism to ecosystem dynamics.We explore applications in environmental remediation,sensing technologies,bioelectronics,and medical implants.A roadmap addresses methodological challenges and suggests validation experiments.Piezoelectrotrophy offers a conceptual framework for investigating mechanical energy use in microbial systems,providing testable hypotheses for energy acquisition in dark,oligotrophic environments,biogeochemical cycles,microbial evolution,and biotechnology.Rigorous experimental validation is essential to confirm its ecological relevance and energetic viability.展开更多
In the Research Article,“All-Biobased Hydrovoltaic-Photovoltaic Electricity Generators for All-Weather Energy Harvesting”[1],the publisher inadvertently introduced an error in Fig.2F.The power density on the y-axis ...In the Research Article,“All-Biobased Hydrovoltaic-Photovoltaic Electricity Generators for All-Weather Energy Harvesting”[1],the publisher inadvertently introduced an error in Fig.2F.The power density on the y-axis was incorrectly labeled as(mW/cm2)instead of the correct(mW/m2).Figure 2F has now been corrected in the PDF and HTML(full text).The layout of the figure panels has also been updated for better readability.展开更多
Hygroelectricity generators(HEGs)utilize the latent heat stored in environmental moisture for electricity generation,but nevertheless are showing relatively low power densities due to their weak energy harvesting capa...Hygroelectricity generators(HEGs)utilize the latent heat stored in environmental moisture for electricity generation,but nevertheless are showing relatively low power densities due to their weak energy harvesting capacities.Inspired by epiphytes that absorb ambient moisture and concurrently capture sunlight for dynamic photosynthesis,we propose herein a scenario of all-biobased hydrovoltaic-photovoltaic electricity generators(HPEGs)that integrate photosystem II(PSII)with Geobacter sulfurreducens(G.s)for simultaneous energy harvesting from both moisture and sunlight.This proof of concept illustrates that the all-biobased HPEG generates steady hygroelectricity induced by moisture absorption and meanwhile creates a photovoltaic electric field which further strengthens electricity generation under sunlight.Under environmental conditions,the synergic hydrovoltaic-photovoltaic effect in HPEGs has resulted in a continuous output power with a high density of 1.24 W/m2,surpassing ali HEGs reported hitherto.This work thus provides a feasible strategy for boosting electricity generation via simultaneous energy harvesting from ambient moisture and sunlight.展开更多
High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced...High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced considerably over the past decade,and the use of scalp EEG facilitates recordings of HFOs.HFOs were initially applied in large scale in epilepsy surgery and are now being utilized in other applications.In this review,we summarize applications of HFOs in 3 subtopics:(1)HFOs as biomarkers to evaluate epilepsy treatment outcome;(2)HFOs as biomarkers to measure seizure propensity;(3)HFOs as biomarkers to reflect the pathological severity of epilepsy.Nevertheless,knowledge regarding the above clinical applications of HFOs remains limited at present.Further validation through prospective studies is required for its reliable application in the clinical management of individual epileptic patients.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.52378386 and 52178336).
摘要Shield attitude control is a critical aspect that must be continuously monitored during shield tunneling.To achieve scientifically rational settings for shield tunneling parameters,this study constructed multiple machine learning prediction models,including shield attitude deviations and tunneling speed,and optimized the hyperparameters of these models using Bayesian algorithms.Subsequently,a constrained grey wolf optimization(GWO)algorithm was employed to establish a real-time safety control method for attitude that considers tunneling efficiency,by dynamically updating the upper and lower bounds for adjustable parameters.The results indicate that the k-nearest neighbors(KNN)model achieved the highest prediction accuracy;however,due to its specific algorithmic principles,KNN is unsuitable for optimization tasks.Embedding the extreme gradient boosting model into the GWO algorithm yielded the best attitude control performance:the absolute attitude deviations were reduced by an average of 45.1%compared to actual values,while the rate of change for adjustable parameters did not exceed 30%.This approach ensures safety and tunneling efficiency during attitude correction and exhibits universal applicability.Compared with other optimization algorithms,GWO demonstrated significant advantages in both optimization effectiveness and computational time.
基金supported by the National Science Fund for Distinguished Young Scholars grant(41925028)the National Natural Science Foundation of China grant(42322706,42307176,and 42177206)。
摘要Phototrophy and chemotrophy are two dominant types of microbial metabolism.However,to date,the potential of the ubiquitous and versatile mechanical energy as a renewable energy source to drive the growth of microorganisms has remained unknown and not utilized.Here,we present evidence in favor of a previously unidentified metabolic pathway,in which the electronic energy produced from mechanical energy by the piezoelectric materials is used to support the growth of microorganisms.When electroactive microorganism Rhodopseudomonas palustris(R.palustris;with barium titanate nanoparticles)was mechanically stirred,a powerful biohybrid piezoelectric effect(BPE)enabled sustainable carbon fixation coupled with nitrate reduction.Transcriptomic analyses demonstrated that mechanical stirring of the bacteria–barium titanate biohybrid led to upregulation of genes encoding functions involved in electron and energy transfer in R.palustris.Studies with other electroactive microorganisms suggested that the ability of microbes to utilize BPE may be a common phenomenon in the microbial world.Taken together,these findings imply a long-neglected and potentially important microbial metabolic pathway,with potential importance to microbial survival in the energy-limited environments.
基金supported by the National Natural Science Foundation of China,China(Nos.51608121,41977281)the Project of the Fujian Provincial Department of Science and Technology of China,China(No.2018J01748)+1 种基金the Fujian Agriculture and Forestry University Program for Distinguished Young Scholars,China(No.XJQ2017003)the Fujian Province’s Training Program of Innovation and Entrepreneurship for Undergraduate,China(No.201910389077)
摘要Granular acid-activated neutralized red mud(AaN-RM)has been successfully prepared with good chemical stability and physical strength.However,its potential for industrial application remains unknown.Therefore,the performance of granular AaN-RM for phosphate recovery in a fixed-bed column was investigated.The results demonstrated that the phosphate adsorption performance of granular AaN-RM in a fixed-bed column was affected by various operational parameters,such as the bed depth,flow rate,initial solution pH and initial phosphate concentration.With the optimal empty-bed contact time(EBCT)of 24.27 min,the number of processed bed volumes and the phosphate adsorption capacity reached 496.95 and 84.80 mg/g,respectively.Then,the saturated fixed-bed column could be effectively regenerated with a0.5 mol/L HCl solution.The desorption efficiency remained as high as 83.45%with a low weight loss of 3.57%in the fifth regeneration cycle.In addition,breakthrough curve modelling showed that a 5-9-1 feed-forward artificial neural network(ANN)could be effectively applied for the optimization of the fixed-bed adsorption system;the coefficient of determination(R^2)and the root mean square error(RMSE)evaluated on the validation-testing data were 0.9987 and 0.0183,respectively.Therefore,granular AaN-RM fixed-bed adsorption exhibits promising potential for phosphate removal and recovery from polluted water.
基金supported by the National Natural Science Foundation of China(42525702 and 42577284)。
摘要The understanding of microbial energy acquisition is currently being reshaped.Traditional microbiology has centered on two primary energy acquisition modes:phototrophy,which captures light energy,and chemotrophy,which extracts energy by oxidizing chemical compounds(Fig.1a).While these modes constitute the cornerstone of microbial bioenergetics and the evolution of metabolism,recent discoveries have revealed that microbes can also use alternative energy acquisition strategies that extend beyond this classical dichotomy.
基金supported by the National Natural Science Foundation of China(42525702,42307466,42577284,42307176).
摘要This review introduces piezoelectrotrophy as a novel paradigm in microbial energy acquisition,complementing phototrophy,chemotrophy,and electrotrophy.We define piezoelectrotrophy as the process enabling microorganisms to harness mechanical energy via piezoelectric mechanisms,converting it into electrical energy for cellular metabolism.This expands microbial energy utilization beyond light and chemical sources to ubiquitous mechanical energy in natural systems.We propose a framework for piezoelectromicrobiology,emphasizing the nano-bio interface for electron generation,transfer,and uptake.The concept carries profound ecological and evolutionary implications,from cellular metabolism to ecosystem dynamics.We explore applications in environmental remediation,sensing technologies,bioelectronics,and medical implants.A roadmap addresses methodological challenges and suggests validation experiments.Piezoelectrotrophy offers a conceptual framework for investigating mechanical energy use in microbial systems,providing testable hypotheses for energy acquisition in dark,oligotrophic environments,biogeochemical cycles,microbial evolution,and biotechnology.Rigorous experimental validation is essential to confirm its ecological relevance and energetic viability.
摘要In the Research Article,“All-Biobased Hydrovoltaic-Photovoltaic Electricity Generators for All-Weather Energy Harvesting”[1],the publisher inadvertently introduced an error in Fig.2F.The power density on the y-axis was incorrectly labeled as(mW/cm2)instead of the correct(mW/m2).Figure 2F has now been corrected in the PDF and HTML(full text).The layout of the figure panels has also been updated for better readability.
基金supported by the National Science Fund for Distinguished Young Scholars(41925028)the Project funded by China Postdoctoral Science Foundation(2022M710698)+1 种基金the Natural Science Foundation of Fujian Province,China(2022J01154)the Science and Technology Innovation Special Fund Project of Fujian Agriculture and Forestry University(CXZX2020101A).
摘要Hygroelectricity generators(HEGs)utilize the latent heat stored in environmental moisture for electricity generation,but nevertheless are showing relatively low power densities due to their weak energy harvesting capacities.Inspired by epiphytes that absorb ambient moisture and concurrently capture sunlight for dynamic photosynthesis,we propose herein a scenario of all-biobased hydrovoltaic-photovoltaic electricity generators(HPEGs)that integrate photosystem II(PSII)with Geobacter sulfurreducens(G.s)for simultaneous energy harvesting from both moisture and sunlight.This proof of concept illustrates that the all-biobased HPEG generates steady hygroelectricity induced by moisture absorption and meanwhile creates a photovoltaic electric field which further strengthens electricity generation under sunlight.Under environmental conditions,the synergic hydrovoltaic-photovoltaic effect in HPEGs has resulted in a continuous output power with a high density of 1.24 W/m2,surpassing ali HEGs reported hitherto.This work thus provides a feasible strategy for boosting electricity generation via simultaneous energy harvesting from ambient moisture and sunlight.
基金supported by grants from the National Key R&D Program of China(2017YFC1307500 to QW)the Capital Health Research and Development of Special Program(2016-1-2011 and 2020-1-2013 to QW)+2 种基金the Beijing-Tianjin-Hebei Cooperative Basic Research Program(H2018206435 to QW)the Beijing Natural Science Foundation(Z200024 to YGW and QW)the National Natural Science Foundation of China(81801280 to GR,81601126 to JR).
摘要High-frequency oscillations(HFOs)in the electroencephalography(EEG)have been extensively investigated as a potential biomarker of epileptogenic zones.The understanding of the role of HFOs in epilepsy has been advanced considerably over the past decade,and the use of scalp EEG facilitates recordings of HFOs.HFOs were initially applied in large scale in epilepsy surgery and are now being utilized in other applications.In this review,we summarize applications of HFOs in 3 subtopics:(1)HFOs as biomarkers to evaluate epilepsy treatment outcome;(2)HFOs as biomarkers to measure seizure propensity;(3)HFOs as biomarkers to reflect the pathological severity of epilepsy.Nevertheless,knowledge regarding the above clinical applications of HFOs remains limited at present.Further validation through prospective studies is required for its reliable application in the clinical management of individual epileptic patients.