Study on the control of cucumber fusarium wilt and its induced resistance by bacillus amyloliquefaciens 9-2Abstract:[Objective]To explore the control efficency and main mechanism of Bacillus amyloliquefaciae 9-2 against Fusarium wilt in cucumber.[Methods]Plate confrontation test and pot experiment were used to evaluate the effects of the 9-2 application on the pathogen mycelial morphology,activity of defense en-zymes in leaves and malondialdehyde content,and the disease index of cucumber Fusarium wilt.[Results]B.amyloliquefaciens 9-2 could significantly suppress the mycelium growth of F.oxysporum,and the mycelium around the inhibition zone showed uneven thickness,swelling,and breakage.The pot experi-ment showed that B.amyloliquefaciens 9-2 achieve the disease control efficiency against cucumber Fusar-ium wilt,reaching 69.11%.The plant height,stem diameter,fresh weight,dry weight of cucumber seedlings in 9-2 treatment were enhanced by 16.46%,6.37%,11.09%and 12.00%compared to control treatment,respectively.In addition,9-2 appliciation increased the activities of phenylalanine amylase,polyphenol oxidase,peroxidase and catalase,and decreased the content of malondialdehyde in cucumber leaves,the increase in the activity of the four defensive enzymes was more pronounced following pathogen inoculation.[Conclusion]B.amyloliquefaciens 9-2 can suppress the pathogen growth and induce disease resistance of cucumber,effectively controlling cucumber Fusarium wilt.
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Fault detection of bearings based on wavelet scattering and machine learningAbstract:Bearing condition monitoring and fault diagnosis are essential for the stability and reliability of medical devices.In response to issues such as reliance on manual experience,low detection efficiency,and accuracy in bearing fault detection,a bearing fault detection model based on wavelet scattering and support vector machine is proposed.Firstly,the original vibration signal is preprocessed,and a wavelet scattering network is constructed.Cross validation and grid search algorithm are used to train the SVM model,which can determine the fault type and size at different speed.To verify the performance of the model,ex-periments are conducted using a bearing dataset collected by Case Western Reserve University.The results show that the model can achieve an accuracy rate of 100%in detecting fault positions and fault sizes.The model demonstrates excellent accuracy and stability,and provides a new approach for automatic bearing fault detection.
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A multi-objective cooperative coevolutionary algorithm for solving the flexible job shop scheduling problem with variable processing speeds and automated guided vehiclesAbstract:For the multi-objective Flexible Job Shop Scheduling Problem with Automated Guided Vehicles(FJSP-AGVs)and variable processing speed constraints,a mixed integer linear programming(MILP)model is first designed by using a position-based modeling approach,with the objectives of minimizing makespan and total energy consumption(TEC).Then decomposed the FJSP-AGVs problem into four in-terrelated subproblems according to its characteristics:operation sequencing,machine allocation,process-ing speed settings,and automated guided vehicle allocation.To address these four subproblems,we pro-posed a multi-objective cooperative coevolutionary algorithm(MOCEA).In the MOCEA,two collabora-tive evolution strategies based on the critical path are used to promote information exchange between dif-ferent populations,and a strategy to reduce the processing speed of operations on non-critical paths is em-ployed to further optimize the total energy consumption.Finally,experiments were conducted to validate the effectiveness of the proposed MOCEA.
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MgFe2O4-LaFeO3 photocatalyst activating persulfate for the efficient degradation of methyl orangeAbstract:MgFe2O4-LaFeO3(MFO-LFO)photocatalysts with varying La content were synthesized using a one-step sol-gel method and characterized by X-ray diffraction,scanning electron microscope,transmission electron microscope,X-ray photoelectron spectroscopy and ultraviolet-visible diffuse reflectance spectros-copy.The performance of different MFO-LFO photocatalysts in activating persulfate(PDS)for the degra-dation of methyl orange(MO)was compared,with MFO-5LFO showing the highest degradation rate of 90.3%.Trapping experiments indicated that singlet oxygen,superoxide radicals and holes are the main active species in the MFO-5LFO-assisted activation of PDS for MO degradation.Additionally,MFO-5LFO demonstrated excellent reusability.Finally,the mechanism of Z-scheme MFO-5LFO photocatalyst activating PDS to degrade MO was proposed.
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Study on photocatalytic degradation of aqueous pollutants by a novel two-dimensional red carbon modified g-C3N4 composite photocatalystAbstract:In this study,two-dimensional red carbon(RC)was prepared by a reflux method,and further combined with graphite carbon nitride(g-C3N4)by simple mechanical agitation to obtain a new composite photocatalyst(RCCN).RCCN presented a typical two-dimensional lamellar structure,and a lower carrier recombination rate and charge transfer resistance than g-C3N4.Therefore,under simulated sunlight irradi-ation,the composite exhibited excellent photocatalytic activity,and the highest apparent kinetic constant(0.038 6 min-1)of organic degradation reaction was more than twice of g-C3N4.Both free radical quench-ing experiment and electron paramagnetic resonance spectra showed that the composite material can pro-duce more active free radicals after excitation to participate in the oxidative degradation of organic matters.Combined with the electron transfer route,a low-resistance channel was formed between g-C3N4 and RC,allowing electrons to be transferred directionally from the conduction band of g-C3N4 to the valence band of RC,that is,the photoinduced charge transfer belonged to a typical Z-type heterostructure.Therefore,the reduced carrier recombination rate and the increased active substances greatly improved the photocatalytic activity of the RCCN,which provided a new idea for the purification of pollutants in water.
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Research progress in microstructure control and surface modification of additive manufacturing titanium alloysAbstract:Titanium alloys have been widely investigated as implants for bone repair due to their good bio-compatibility,low toxicity and excellent mechanical properties in biomedicine.Additive manufacturing technology enables the customization of products with high precision,allowing for the fabrication of bone repair implant parts to be manufactured according to the specific needs of individual patients.In this re-view,the microstructure regulation and surface modification of additive manufacturing titanium alloys were reviewed.In the microstructure control section,the effect of additive manufacturing technology on the microstructure of three titanium alloys of α,β and α+β types,and its research progress were dis-cussed.It is considered that the different surface properties of the materials would affect the biological re-action characteristics of later implants,the latest progress of surface modification technologies such as mi-cro-arc oxidation,anodizing,electrophoretic deposition,hydrothermal synthesis and layer self-assembly were further analyzed.Finally,the development trend of additive manufacturing of biomedical titanium al-loys was summarized.
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Research on iterated greedy algorithms for hybrid flow shop scheduling considering mandatory operationsAbstract:In-depth research has been conducted on the Hybrid Flow Shop Scheduling Problem(HFSP),establishing a mathematical model aimed at minimizing the makespan.A Mandatory Operations-based It-erated Greedy Algorithm(MOAIG)has been proposed.First,four lemmas related to mandatory opera-tions are presented.Next,a graph space representation for the scheduling sequence is designed.For the multi-stage characteristics of HFSP,local searches are performed on the mandatory operations along the critical path within the graph space to enhance local search efficiency and expand the search space.Then,to increase the flexibility and diversity of disruption operations,a conservative jump disruption strategy is introduced.Finally,through numerical simulations of 576 typical test cases and statistical comparisons with three representative algorithms,the effectiveness and superiority of the proposed accelerated iterative greedy algorithm based on mandatory operations are validated.
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Polyvinyl alcohol-based aerogel for solar-driven dye wastewater purificationAbstract:Volatile organic pollutants in water are easily evaporated together with water under light irradia-tion,causing secondary pollution of the collected water,which increases the difficulty of dye wastewater purification.In this regard,PB/PPy/PVA aerogel was synthesized by freeze-drying using Prussian blue(PB)as the catalytic center for Fenton degradation,polypyrrole(PPy)as the photothermal center,and polyvinyl alcohol(PVA)as the functional carrier.PB/PPy/PVA aerogel could degrade 99.5% methyl or-ange within 15 min.Under one-sun illumination,the evaporation rate was 1.95 kg·m-2·h-1 with the excellent stability.As-synthesized PB/PPy/PVA aerogel realizes efficient degradation of organic pollutants in water while collecting clean condensate water,which has a broad application prospect in the purification of dye wastewater.
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Application of transcranial electrical stimulation technology in sleep regulationAbstract:Transcranial Electrical Stimulation(tES)is a non-invasive neural regulation technique that reg-ulates nerves by applying weak electrical currents to the scalp.At present,tES has been widely used in sleep regulation,including improving the sleep quality of patients in clinical practice and studying the sleep status of healthy subjects.This article first summarizes the EEG characteristics in sleep staging,intro-duces different waveforms and their importance in sleep.Subsequently,the relevant research on tES in im-proving sleep was reviewed,classified into two situations:before bedtime and during sleep.The results showed that applying mid low frequency alternating current stimulation before bedtime can more effective-ly induce sleep;Applying low-frequency alternating current stimulation during sleep has a significant effect on maintaining deep sleep.At the same time,the effects of direct current and high-frequency alternating current stimulation on suppressing drowsiness were also evaluated,indicating that different stimulation schemes have different effects on the final stimulation.Finally,the stimulation mechanism of tES on the generated results and the development trend of closed-loop tES with real-time EEG signal feedback were discussed.
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Rational design of Cd0.8Zn0.2S/carbon quantum dots composite photocatalytic material for efficient hydrogen evolutionAbstract:Cd0.8Zn0.2S solid solutions possess the advantages of good optical absorption and easy prepara-tion.However,the photogenerated carriers of Cd0.8Zn0.2S are easy to recombine,resulting in the poor photocatalytic performance.Carbon quantum dots(CQD),the star of the carbon family,is considered as a promising cocatalyst.It is expected to synthesize high-performance photocatalyst for photocatalytic water splitting by combining Cd0.8Zn0.2S with carbon quantum dots.In this work,Cd0.8Zn0.2S/CQD com-posite photocatalyst with different proportions of CQD has been synthesized by one-step hydrothermal method.Photocatalytic hydrogen production activity test indicates the H2 generation activity of Cd0.8Zn0.2S/30%CQD is 995 μmol·g-1·h-1,which is 37.4% higher than that of pure Cd0.8Zn0.2S. In addition,the cyclic stability test indicates relatively well photocatalytic stability of the composite.Electro-chemical tests indicate that the introduction of CQD can effectively promote the separation and migration of photogenerated carriers,which is due to the fact that CQD acts as an electron reservoir to efficiently capture the electrons generated by Cd0.8Zn0.2S and hinder the electron-hole pair recombination.As a cocat-alyst,CQD improves the photocatalytic performance and stability of Cd0.8Zn0.2S.This study could provide useful references for the construction of high-performance composite photocatalysts.
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Research status and development trend of cold sintering techniques in ceramicsAbstract:Cold sintering is a new concept for the preparation of ultra-low temperature ceramics,which realizes the densification sintering of ceramics and other composite materials by means of solvent introduction,uniaxial pres-sure and moderate heating at a temperature below 300 ℃.The main idea of cold sintering is to use the mechanical-chemical coupling effect to replace high temperature sintering to provide driving force,improve the mass transfer process during sintering,and achieve particle compaction and densification under ultra-low temperature conditions.Cold sintering technique has become the key development direction of the comprehensive green transformation of China's industrial development and the implementation of Carbon Peaking and Carbon Neutrality Goals.Herein,the sintering mechanism of cold sintering technology and its application in microwave dielectric ceramics,transpar-ent ceramics and structural ceramics are reviewed,and the preparation process,properties and application prospect of specific ceramic components in each field are emphasized.With the continuous development and improvement of cold sintering technology,it is expected to play a more important role in various fields,and promote the sustain-able development of ceramic materials and related industries.
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Federated feature selection algorithm for multi-party high-dimensional data under privacy protectionAbstract:High-dimensional feature selection faces challenges such as the"curse of dimensionality"and high computational costs.Due to privacy protection constraints,a large amount of high-dimensional data may be distributed and stored across different institutions(referred to as participants)and cannot be shared,further complicating the joint feature selection of multi-party high-dimensional data.In light of this,this paper proposes a surrogate-joint-assisted federated evolutionary feature selection algorithm to ad-dress the issue of high-dimensional feature selection involving multiple participants under privacy protec-tion.A framework for a surrogate-assisted federated evolutionary feature selection algorithm is designed,and based on this framework,strategies for joint construction and management of surrogate models,joint evaluation based on surrogate models,and joint updating of individuals are provided.Finally,the proposed algorithm is applied to 10 test datasets and compared with 3 typical wrapper-based evolutionary feature se-lection algorithms.The results show that the proposed algorithm not only ensures the classification per-formance of the algorithm while fully protecting the data privacy of the participants but also significantly improves the algorithm's runtime.
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Research progress on the wall breaking technology of ganoderma spore and its impact on efficacyAbstract:Ganoderma sichuanense,also named Ganoderma lucidum in Chinese pharmacopoeia has a varie-ty of physiological effects.Ganoderma spore powder contains various active ingredients that have excellent effects on the human nervous system,cardiovascular system,and immune system.However,the complex cell wall structure and hard texture of Ganoderma spores make them difficult to decompose,which limits the absorption of effective substances within the spores.The article reviews the current research progress of the wall-breaking technology of Ganoderma spore powder from various aspects including physical,bio-logical,chemical,and mechanical methods.It also discusses the impact of different wall-breaking technolo-gies on the active substances and biological functions of Ganoderma spore powder,aiming to provide guid-ance for the efficient wall-breaking of Ganoderma spore powder and the high-quality development of the Ganoderma industry.
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Microbial aitrogen assimilation:a new nitrogen recovery strategy from wastewaterAbstract:In recent years,with the acceleration of industrialization and urbanization,the discharge of ni-trogen in wastewater has significantly increased,posing a severe threat to aquatic environments and eco-systems.Therefore,developing effective nitrogen recovery technologies is crucial for reducing environ-mental pollution and protecting ecological balance.Compared with the traditional nitrogen removal proces-ses,microbial nitrogen assimilation,as an emerging wastewater treatment technology,has garnered wide-spread attention due to its environmental friendliness and cost-effectiveness.This paper reviews nitrogen-containing wastewater treatment methods and their mechanisms,studies the assimilation of nitrogen in wastewater through nitrogen assimilation pathways,and analyzes the associated environmental and eco-nomic benefits.Additionally,the challenges faced by current technologies and future development direc-tions are discussed.Through case studies and discussions on practical applications,this review aims to propose a feasible and environmentally friendly new approach to nitrogen recovery in wastewater,offering references and insights for future research and practical applications.
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Preparation and characterization of five kinds of starch gel electrolytes and their supercapacitorsAbstract:This paper adopted the simple method to develop five kinds of green quasi-solid starch gel elec-trolyte(SGE)of sweet potato,corn,mung bean,lotus root and potato.In this method,KOH promoted the starch to form a gel,and could also act as an electrolyte.The results of volatility and viscosity of SGE show that the mass retention of SGE is 60%~80%at 70 ℃ for 100 min,which is higher than that of KOH solution(55.56%).The viscosity of SGE decreases with increasing the shear rate.A porous mesh is observed in the SGE by scanning electron microscope.The specific capacitance of the supercapacitor as-sembled with lotus root starch gel is up to 14 F/g.After 10 000 cycles,the specific capacitance retention rate of SGE-supercapacitor is close to 100%,and it shows excellent coulomb efficiency.This study pro-vides new ideas for the development of gel electrolyte.
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Current application of TiO2 nanomaterials in wastewater degradationAbstract:Currently,in the context of emphasizing green,clean and sustainable development,nano-oxide-based photocatalytic technology is a kind of energy-saving,efficient and environmentally friendly technolo-gy that was discovered and gradually developed in the 1970s for the degradation of pollutants through light.Among various photocatalytic materials,nano titanium dioxide(TiO2)has received widespread at-tention for its unique physical and chemical properties and thus become a popular material for international research.This paper reviews the mechanism of photocatalytic degradation of wastewater by nano-TiO2,and analyzes the methods of regulating morphology,conducting ion doping and performing surface modifi-cation,which can improve the light sensitivity of nano-materials,as well as their application prospects in industrial wastewater and drug treatment.Finally,it summarizes and looks forward to the research and application of TiO2 photocatalytic materials,pointing out that TiO2 nano photocatalytic materials need to be further explored and studied in aspects such as the establishment of reaction kinetics models,commer-cial production of photocatalysts,and the combination of various modification methods.
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Research on intelligent prediction method of internet of vehicles security performance based on GConvGRU-GATAbstract:With the continuous development of 5G technology and the Internet of Things,the Internet of Vehicles business is emerging in an endless stream,and its application scenarios are becoming more and more complex and changeable.In the communication process of Internet of Vehicles,the security perform-ance is affected by the complex and ever-changing environment of the vehicle networking,making it diffi-cult to make real-time and accurate predictions.Therefore,this paper proposes an intelligent prediction method for the security performance of the Internet of Vehicles based on GConvGRU-GAT in this paper.Firstly,under the N-Nakagami channel,a model of the secure communication system of the Internet of Vehicles was established,and the security performance was analyzed by detecting the signal-to-noise ratio of the communication link,and the influence of different influencing factors on the security performance was effectively analyzed,and the communication dataset was constructed.In order to better predict the communication system in real time,this paper integrates Graph Attention Network(GAT),Graph Conv-olutional Network(GCN)and Gated Recurrent Unit(GRU)to design a mobile security performance pre-diction network model based on GConvGRU-GAT by integrating Graph Attention Network(GAT),Graph Convolutional Network(GCN)and Gated Recurrent Unit(GRU).Experimental results show that compared with other algorithms,the GConvGRU-GAT algorithm has better prediction effect,and the per-formance is improved by 84.6%compared with the GCN model.
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Recent research progress and application of SERS flexible substratesAbstract:Surface-enhanced Raman spectroscopy(SERS)is a fingerprint analysis technique with fine structure,which can significantly improve the strength of Raman signal,and has been widely used in envi-ronmental monitoring,food safety,biomedical sensing and diagnosis.Considering that the rigid SERS substrate could not complete the collection of signals under special environment and detection conditions,the design and development of flexible SERS substrate have attracted the attention of researchers.The flexible SERS substrate can collect analytes from solid surfaces of various shapes and surfaces,so it can ef-fectively solve the limitation problem that traditional SERS substrates cannot be detected quickly under in-situ and on-site circumstance.This thesis will analyze the development of flexible SERS substrate,the types of materials and their engineering applications,which will provide references for the design of flexi-ble SERS substrate devices and their application in new scenarios.
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Preparation and adsorption performance of Artemisia argyi biocharAbstract:To achieve the resource utilization of the waste residue from the extraction of Artemisia argyi essential oil,the residue and its phosphoric acid-modified derivative were used as precursors to prepare bio-char(WBC)and modified biochar(WAC)at different carbonization temperatures in this study.The ad-sorption performance of both kinds of samples towards three organic small molecules(methyl orange(MO),Rhodamine B(RhB),and tetracycline hydrochloride(TC))was systematically investigated,and corresponding processes were analyzed using three kinetic models.It was indicated that phosphoric acid ac-tivation significantly improved the porosity.The samples WAC exhibited more wrinkles and holes on the surface than the samples WBC,with the sample WAC800 having the largest specific surface area of 667 m2/g among all candidates.Correspondingly,the adsorption performance of samples WAC was superior to that of WBC,with the equilibrium adsorption capacities of sample WAC800 for MO,RhB,and TC being 40.1,19.1,and 38.7 mg/g,respectively.The corresponding adsorptions of three organic molecules fol-lowed a quasi-second-order kinetic model,revealing that the adsorption processes were chemical adsorp-tion,primarily driven by the surface complexation induced by hydrogen bonding and electrostatic π-π in-teraction between the adsorbents and target adsorbates.
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Study on the growth inhibition and mechanism of bacillus subtilis B579 metabolites on fusarium oxysporumAbstract:Objective:To investigate the inhibitory mechanism of Bacillus subtilis B579 against Fusariu-moxysporum.Methods:Co-culture and metabolomics techniques combined with plate inhibition test were used to screen out the differential metabolites with antibacterial effect.The effects of differential metabo-lites on the extracellular relative conductivity,malondialdehyde content,soluble protein content,and cata-lase activity of Fusarium oxysporum mycelium were determined,and the control effiency of these metabo-lites on cucumber Fusarium wilt were explored.Result:Under co-culture conditions(B579 and patho-gen),48 differential metabolites were found to be highly secreted by B579.Among the 15 differential me-tabolites tested,trans-cinnamic acid(CA)and palmitic acid(PA)had the strongest inhibitory activity.At the three treatment concentrations,both CA and PA showed the strongest inhibitory activity at 50 μg/mL,resulting in inhibition zone diameters of 0.63 and 1.27 cm,respectively.In liquid culture,the extra-cellular relative conductivity,malondialdehyde content,and catalase activity of CA and PA(50 μg/mL)treated cells were significantly increased,while the intracellular soluble protein content was significantly decreased.The pot experiment showed that the application of CA and PA achieved the disease control effi-ciency against cucumber wilt,reaching 67.58%and 47.29%respectively.Conclusion:CA and PA screened under co-culture conditions can cause oxidative damage to the cell membrane of pathogenic bacte-ria,resulting in loss of membrane integrity and enhanced permeability,inhibiting the growth of pathogenic bacteria,thus effectively preventing and treating Fusariumoxysporum.
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