The Impact of Digital Finance on High-Quality Development of the Chengdu-Chongqing Economic Circle

This paper developed a comprehensive evaluation system that was able to quantify the levels of high-quality development across the cities within the Chengdu-Chongqing economic circle,and investigate the impact that digital finance had on the cities’high-quality development and the underlying mechanisms through which it achieved this.This comprehensive evaluation system was constructed using statistical data from these cities for the period 2014 to 2020 while also taking China’s high-quality development philosophy into account.The key findings revealed that:(a)Digital finance was able to significantly promote high-quality development in the Chengdu-Chongqing economic circle;(b)Digital finance had a significant positive effect in promoting innovative,coordinated,green,open,and shared development;(c)Digital finance was able to stimulate the high-quality development in the Chengdu-Chongqing economic circle by boosting entrepreneurial dynamism;(d)Digital finance had a significant impact on the high-quality development of the axis areas,while its impact was less discernible in non-axis areas.The insights from this research offer a deeper understanding of the factors that drive high-quality development,the role digital finance plays,and the mechanisms through which digital finance is able to propel high-quality development at the city cluster scale.

Exploring the interaction between the gut microbiota and cyclic adenosine monophosphate-protein kinase A signaling pathway:a potential therapeutic approach for neurodegenerative diseases

The interaction between the gut microbiota and cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)signaling pathway in the host's central nervous system plays a crucial role in neurological diseases and enhances communication along the gut–brain axis.The gut microbiota influences the cAMP-PKA signaling pathway through its metabolites,which activates the vagus nerve and modulates the immune and neuroendocrine systems.Conversely,alterations in the cAMP-PKA signaling pathway can affect the composition of the gut microbiota,creating a dynamic network of microbial-host interactions.This reciprocal regulation affects neurodevelopment,neurotransmitter control,and behavioral traits,thus playing a role in the modulation of neurological diseases.The coordinated activity of the gut microbiota and the cAMP-PKA signaling pathway regulates processes such as amyloid-β protein aggregation,mitochondrial dysfunction,abnormal energy metabolism,microglial activation,oxidative stress,and neurotransmitter release,which collectively influence the onset and progression of neurological diseases.This study explores the complex interplay between the gut microbiota and cAMP-PKA signaling pathway,along with its implications for potential therapeutic interventions in neurological diseases.Recent pharmacological research has shown that restoring the balance between gut flora and cAMP-PKA signaling pathway may improve outcomes in neurodegenerative diseases and emotional disorders.This can be achieved through various methods such as dietary modifications,probiotic supplements,Chinese herbal extracts,combinations of Chinese herbs,and innovative dosage forms.These findings suggest that regulating the gut microbiota and cAMP-PKA signaling pathway may provide valuable evidence for developing novel therapeutic approaches for neurodegenerative diseases.

Deep learning identification of novel autophagic protein-protein interactions and experimental validation of Beclin 2-Ubiquilin 1 axis in triple-negative breast cancer

Background:Triple-negative breast cancer(TNBC),characterized by its lack of traditional hormone receptors and HER2,presents a significant challenge in oncology due to its poor response to conventional therapies.Autophagy is an important process for maintaining cellular homeostasis,and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors.In contrast to targeting protein activity,intervention with proteinprotein interaction(PPI)can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways.Methods:Here,we employed Naive Bayes,Decision Tree,and k-Nearest Neighbors to elucidate the complex PPI network associated with autophagy in TNBC,aiming to uncover novel therapeutic targets.Meanwhile,the candidate proteins interacting with Beclin 2 were initially screened in MDA-MB-231 cells using Beclin 2 as bait protein by immunoprecipitation-mass spectrometry assay,and the interaction relationship was verified by molecular docking and CO-IP experiments after intersection.Colony formation,cellular immunofluorescence,cell scratch and 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT)tests were used to predict the clinical therapeutic effects of manipulating candidate PPI.Results:By developing three PPI classification models and analyzing over 13,000 datasets,we identified 3733 previously unknown autophagy-related PPIs.Our network analysis revealed the central role of Beclin 2 in autophagy regulation,uncovering its interactions with 39 newly identified proteins.Notably,the CO-IP studies identified the substantial interaction between Beclin 2 and Ubiquilin 1,which was anticipated by our model and discovered in immunoprecipitation-mass spectrometry assay results.Subsequently,in vitro investigations showed that overexpressing Beclin 2 increased Ubiquilin 1,promoted autophagy-dependent cell death,and inhibited proliferation and metastasis in MDA-MB-231 cells.Conclusions:This study not only enhances our understanding of autophagy regulation in TNBC but also identifies the Beclin 2-Ubiquilin 1 axis as a promising target for precision therapy.These findings open new avenues for drug discovery and offer inspiration for more effective treatments for this aggressive cancer subtype.

Recent progress in constructing fluorinated solid-electrolyte interphases for stable lithium metal anodes

Lithium metal batteries(LMBs)are emerging as a promising energy storage solution owing to their high energy density and specific capacity.However,the non-uniform plating of lithium and the potential rupture of the solid-electrolyte interphase(SEI)during extended cycling use may result in dendrite growth,which can penetrate the separator and pose significant short-circuit risks.Forming a stable SEI is essential for the long-term operation of the batteries.Fluorine-rich SEI has garnered significant attention for its ability to effectively passivate electrodes,regulate lithium deposition,and inhibit electrolyte corrosion.Understanding the structural components and preparation methods of existing fluorinated SEI is crucial for optimizing lithium metal anode performance.This paper reviews the research on optimizing LiF passivation interfaces to protect lithium metal anodes.It focuses on four types of compositions in fluorinated SEI that work synergistically to enhance SEI performance.For instance,combining compounds with LiF can further enhance the mechanical strength and ionic conductivity of the SEI.Integrating metals with LiF significantly improves electrochemical performance at the SEI/anode interface,with a necessary focus on reducing electron tunneling risks.Additionally,incorporating polymers with LiF offers balanced improvements in interfacial toughness and ionic conductivity,though maintaining structural stability over long cycles remains a critical area for future research.Although alloys combined with LiF increase surface energy and lithium affinity,challenges such as dendrite growth and volume expansion persist.In summary,this paper emphasizes the crucial role of interfacial structures in LMBs and offers comprehensive guidance for future design and development efforts in battery technology.

Bidirectional regulation of the cyclic guanosine monophosphateadenosine monophosphate synthase-stimulator of interferon gene pathway and its impact on hepatocellular carcinoma

BACKGROUND Hepatocellular carcinoma(HCC)ranks as the fourth leading cause of cancerrelated deaths in China,and the treatment options are limited.The cyclic guanosine monophosphate-adenosine monophosphate synthase(cGAS)activates the stimulator of interferon gene(STING)signaling pathway as a crucial immune response pathway in the cytoplasm,which detects cytoplasmic DNA to regulate innate and adaptive immune responses.As a potential therapeutic target,cGASSTING pathway markedly inhibits tumor cell proliferation and metastasis,with its activation being particularly relevant in HCC.However,prolonged pathway activation may lead to an immunosuppressive tumor microenvironment,which fostering the invasion or metastasis of liver tumor cells.AIM To investigate the dual-regulation mechanism of cGAS-STING in HCC.METHODS This review was conducted according to the PRISMA guidelines.The study conducted a comprehensive search for articles related to HCC on PubMed and Web of Science databases.Through rigorous screening and meticulous analysis of the retrieved literature,the research aimed to summarize and elucidate the impact of the cGAS-STING pathway on HCC tumors.RESULTS All authors collaboratively selected studies for inclusion,extracted data,and the initial search of online databases yielded 1445 studies.After removing duplicates,remaining 964 records were screened.Ultimately,55 articles met the inclusion criteria and were included in this review.CONCLUSION Acute inflammation can have a few inhibitory effects on cancer,while chronic inflammation generally promotes its progression.Extended cGAS-STING pathway activation will result in a suppressive tumor microenvironment.

Unlocking the future:Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

BACKGROUND Mitochondrial genes are involved in tumor metabolism in ovarian cancer(OC)and affect immune cell infiltration and treatment responses.AIM To predict prognosis and immunotherapy response in patients diagnosed with OC using mitochondrial genes and neural networks.METHODS Prognosis,immunotherapy efficacy,and next-generation sequencing data of patients with OC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus.Mitochondrial genes were sourced from the MitoCarta3.0 database.The discovery cohort for model construction was created from 70% of the patients,whereas the remaining 30% constituted the validation cohort.Using the expression of mitochondrial genes as the predictor variable and based on neural network algorithm,the overall survival time and immunotherapy efficacy(complete or partial response)of patients were predicted.RESULTS In total,375 patients with OC were included to construct the prognostic model,and 26 patients were included to construct the immune efficacy model.The average area under the receiver operating characteristic curve of the prognostic model was 0.7268[95% confidence interval(CI):0.7258-0.7278]in the discovery cohort and 0.6475(95%CI:0.6466-0.6484)in the validation cohort.The average area under the receiver operating characteristic curve of the immunotherapy efficacy model was 0.9444(95%CI:0.8333-1.0000)in the discovery cohort and 0.9167(95%CI:0.6667-1.0000)in the validation cohort.CONCLUSION The application of mitochondrial genes and neural networks has the potential to predict prognosis and immunotherapy response in patients with OC,providing valuable insights into personalized treatment strategies.

Quantitative Effects of Velocity and Residual Pressure Level on Aerodynamic Noise of Ultra-High-Speed Maglev Trains

The challenge of aerodynamic noise is a key obstacle in the advancement of low-pressure tube ultra-high-speed maglev transportation,demanding urgent resolution.This study utilizes a broadband noise source model to perform a quantitative analysis of the aerodynamic noise produced by ultra-high-speed maglev trains operating in low-pressure environments.Initially,an external flow field calculation model for the ultra-high-speed maglev train is presented.Subsequently,numerical simulations based on the broadband noise source model are used to examine the noise characteristics.The impact of the train speed and pressure level on noise generation is investigated accordingly.Subsequently,a correlation formula is derived.The results reveal that the amplitude of sound source changes in the streamlined region of the head and tail cars of the train is large,and the amplitude of changes for the middle car is smaller.The noise source strength increases with speed,with a quadrupole noise source becoming dominant when the train speed exceeds 600 km/h.At a speed of 1000 km/h,the noise source intensity from the streamlined area at the rear of the train overcomes that at the front.Furthermore,the noise source decreases as the pressure level in the tube decreases.When the pressure level drops to 0.01 atm,the quadrupole noise source intensity of a train running at 600 km/h significantly weakens and falls below that of the dipole noise source.

Impact of setting distinct target blood glucose levels on endogenous insulin suppression and pharmacodynamics of insulin preparations

BACKGROUND Insulin therapy plays a crucial role in managing diabetes.Regulatory guidelines mandate assessing the pharmacokinetics(PK)and pharmacodynamics(PD)of new insulin formulations with euglycemic clamp techniques before entry into the market.Typically,blood glucose(BG)levels are maintained at 5%below baseline to suppress endogenous insulin secretion in healthy volunteers.However,in scenarios where BG baseline is relatively low,maintaining it at 5%below baseline can increase hypoglycemic risk.Consequently,we adjusted to maintain it at 2.5%below a baseline of<4.00 mmol/L.It remains uncertain whether this adjustment impacts endogenous insulin inhibition or the PD of study insulin.AIM To evaluate and compare the PD and C-peptide status using two different target BG setting methods.METHODS Data came from euglycemic clamp trials assessing the PK/PD of insulin aspart(IAsp)in healthy participants.Target BG was set at 2.5%below baseline for those with a basal BG of<4.00 mmol/L(group A),and at 5%below baseline for others(group B).The area under the curve(AUC)of IAsp(AUC_(IAsp,0-8 h))and GIR from 0 to 8 hours(AUCGIR,0-8 h)was used to characterize the PK and PD of IAsp,respectively.The C-peptide reduction and PK/PD of IAsp were compared between the two groups.RESULTS Out of 135 subjects,15 were assigned to group A and 120 to group B;however,group B exhibited higher basal Cpeptide(1.59±0.36 vs 1.32±0.42 ng/mL,P=0.006).Following propensity score matching to adjust for basal Cpeptide differences,71 subjects(15 in group A and 56 in group B)were analyzed.No significant differences were observed in demographics,IAsp dosage,or clamp quality.Group B showed significantly higher baseline(4.35±0.21 vs 3.91±0.09 mmol/L,P<0.001),target(4.13±0.20 vs 3.81±0.08 mmol/L,P<0.001),and clamped(4.10±0.17 vs 3.80±0.06 mmol/L,P<0.001)BG levels.Both groups exhibited comparable C-peptide suppression(32.5%±10.0%vs 35.6%±12.1%,P=0.370)and similar IAsp activity(AUCGIR,0-8 h:1433±400 vs 1440±397 mg/kg,P=0.952)under nearly equivalent IAsp exposure(AUC_(IAsp,0-8 h):566±51 vs 571±85 ng/mL×h,P=0.840).CONCLUSION Maintaining BG at 2.5%below a baseline of<4.00 mmol/L did not compromise the endogenous insulin suppression nor alter the observed pharmacodynamic effects of the study insulin.

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This study proposes a novel end-to-end disparity estimation model to address these challenges.Our approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting interferences.This study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and efficiency.The model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video data.Experimental results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing parameters.Moreover,the model exhibited faster convergence during training,contributing to overall performance enhancement.This study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

Development and application prospect of stem cell combined with 3D printing technology for oral disease

With organ transplantation facing many dilemmas,tissue and organ regeneration as an alternative has bright prospects.In regenerative medicine,Three-dimensional(3D)printing technology and stem cells has been widely applied to the treatment of diseases related to tissue or organ replacement in dentistry,respectively.However,there are very few studies on the combination of the two,and even fewer clinical studies have been reported in dentistry.In this review,the current oral tissue engineering in vivo and in vitro based on 3D printing and stem cell technology will be summarized,and the discussion on the development prospects of this research direction will be given.Besides,the working principles and advantages&disadvantages of several types of 3D printers,as well as the mechanism of stem cells in tissue engineering will be elucidated.This review provides clinicians and researchers with the current state of research and trends in the combination of stem cells and 3D printing technology to treat oral-related diseases.In the future,3D bioprinters are poised for ongoing innovation with the advancement of relevant technologies,catalyzing an increase in clinical studies focused on treating oral diseases using stem cells and 3D scaffolds.Consequently,these developments will further advance the field of oral tissue engineering.

Femtosecond laser small incision lenticule extraction on binocularity for myopia with glasses-free 3D technique

AIM:To evaluate the effect of femtosecond laser small incision lenticule extraction(SMILE)on the binocular visual function in myopic patients with glasses-free threedimensional(3D)technique.METHODS:Totally 50 myopic patients(39 females and 11 males)with SMILE were enrolled in this prospective study.The glasses-free 3D technique was used to evaluate the binocular visual function in these subjects including static stereopsis,dynamic stereopsis,foveal suppression,and binocular balance point of signal to noise ratio(s/n ratio).All subjects received measurements in 1d before operation,and 1d,1wk,and 1mo postoperatively.RESULTS:Both static and dynamic stereopsis showed no significant difference after SMILE.The foveal suppression improved significantly 1wk and 1mo after SMILE(P=0.005 and P=0.007 respectively).The binocular balance point of signal to noise ratio showed a significant improvement 1d,1wk and 1mo after SMILE for both eyes(P<0.001 for each eye respectively).CONCLUSION:Glasses-free 3D technique can be used to evaluate the effect of SMILE on the binocular visual function in myopic patients perceptively,and SMILE can improve both foveal suppression and binocular imbalance in these patients.

Selective embolization can effectively alleviate bleeding symptoms in patients with anorectal hemangioma

In this manuscript,I comment on the article by Pospisilova et al published in the recent issue of the journal,in which selective embolization was used to treat anorectal hemangioma,a rare disease causing lower gastrointestinal bleeding.Anorectal hemangioma can easily be mistaken;for example,the patient in this case was previously misdiagnosed with ulcerative colitis.Choosing the appropriate tests and understanding the typical manifestations of anorectal hemangioma under colonoscopy,computerized tomography,magnetic resonance imaging and other tests are beneficial for diagnosis.The patient presented with intermittent rectal bleeding despite treatment with azathioprine and mesalazine and required blood transfusions since the degree of rectal bleeding worsened.Selective embolization successfully alleviated the patient’s bleeding symptoms and avoided the need for repeated blood transfusions.Tranexamic acid may be useful,considering that the patient still has bleeding symptoms and requires parenteral iron supplementation.

Prognostic roles nutritional index in patients with resectable and advanced biliary tract cancers

BACKGROUND Biliary tract cancer(BTC)is a rare,aggressive malignancy with increasing inci-dence and poor prognosis.Identifying preoperative prognostic factors is crucial for effective risk-benefit assessments and patient stratification.The prognostic nutritional index(PNI),which reflects immune-inflammatory and nutritional status,has shown prognostic value in various cancers,but its significance in BTC remains unclear.AIM To assess the prognostic value of the preoperative PNI in BTC patients,with a focus on overall survival(OS)and disease-free survival(DFS).METHODS Comprehensive searches were conducted in the PubMed,EMBASE,and Web of Science databases from inception to April 2024.The primary outcomes of interest focused on the associations between the preoperative PNI and the prognosis of BTC patients,specifically OS and disease-free survival(DFS).Statistical analyses were conducted via STATA 17.0 software.RESULTS Seventeen studies encompassing 4645 patients met the inclusion criteria.Meta-analysis revealed that a low PNI was significantly associated with poorer OS[hazard ratio(HR)1.91,95%CI:1.59-2.29;P<0.001]and DFS(HR 1.93,95%CI:1.39-2.67;P<0.001).Subgroup analyses revealed consistent results across BTC subtypes(cholangiocarcinoma and gallbladder cancer)and stages(resectable and advanced).Sensitivity analyses confirmed the robustness of these findings,and no significant publication bias was detected.CONCLUSION This study demonstrated that a low preoperative PNI predicts poor OS and DFS in BTC patients,highlighting its potential as a valuable prognostic tool.Further prospective studies are needed to validate these findings and enhance BTC patient management.

Multiple endocrine neoplasia type 1:Early diagnosis is very important

In this manuscript,we comment on a recent publication by Yuan et al.This article provides a detailed scientific diagnostic process for a multiple endocrine neo-plasia type 1 patient,thus offering strong guidance for clinical practice.However,we believe that the authors should also provide information on the patient's long-term prognosis.

Giant enhancement of negative friction by resonant coupling between localized surface phonon polaritons and graphene plasmonics

Negative friction refers to a frictional force that acts in the same direction as the motion of an object, which has been predicted in terahertz(THz) gain systems [Phys. Rev. B 108 045406(2023)]. In this work, we investigate the enhancement of the negative friction experienced by nanospheres placed near a graphene substrate. We find that the magnitude of negative friction is related to the resonant coupling between the surface plasmon polaritons(SPPs) of the graphene and localized surface phonon polaritons(LSPh P) of nanospheres. We exam nanospheres consisted of several different materials, including SiO_(2), Si C, Zn Se, Na Cl, ln Sb. Our results suggest that the LSPh P of Na Cl nanospheres match effectively with the amplified SPPs of graphene sheets. The negative friction for Na Cl nanospheres can be enhanced about one-to-two orders of magnitude compared to that of silica(SiO_(2)) nanospheres. At the resonant peak of negative friction, the required quasi-Fermi energy of graphene is lower for Na Cl nanospheres. Our finds hold great prospects for the mechanical manipulations of nanoscale particles.

A novel frameshift mutation in the BCOR gene is associated with oculo-facio-cardio-dental syndrome:a case report

Dear Editor,Oculo-facio-cardio-dental(OFCD)syndrome is a rare X chromosome-linked dominant genetic disease with multiple system and site abnormalities.The typical traits shown in this disease are:1)eye abnormalities,notably congenital cataracts,microphthalmia,and secondary glaucoma;2)facial deformities,in particular long and narrow face,high nasal bridge,nasal tip cartilage division,and cleft palate.

Spatiotemporal variations of tenebrionid beetles(Coleoptera:Tenebrionidae)in the Gobi desert,Northwest China

Tenebrionid beetles represent a crucial arthropod taxon in the Gobi desert ecosystems owing to their species richness and high biomass,both of which are essential for maintaining ecosystem health and stability.However,the spatiotemporal variations of tenebrionid beetle assemblages in the Gobi desert remain poorly understood.In this study,the monthly dynamics of tenebrionid beetles in the central part of the Hexi Corridor,Northwest China,a representative area of the Gobi desert ecosystems,were monitored using pitfall trapping during 2015-2020.The following results were showed:(1)monthly activity of tenebrionid beetles was observed from March to October,with monthly activity peaking in spring and summer,and monthly activity periods and peak of tenebrionid beetle species exhibited interspecific differences that varied from year to year;(2)spatial distribution of tenebrionid beetle community was influenced by structural factors.Specifically,at a spatial scale of 24.00 m,tenebrionid beetle community was strongly and positively correlated with the dominant species,with distinct spatial distribution patterns observed for Blaps gobiensis and Microdera kraatzi alashanica;(3)abundance of tenebrionid beetles was positively correlated with monthly mean precipitation and monthly mean temperature,whereas monthly abundance of B.gobiensis and M.kraatzi alashanica was positively correlated with monthly mean precipitation;and(4)the cover of Reaumuria soongarica(Pall.)Maxim.and Nitraria sphaerocarpa Maxim.had a positive influence on the number of tenebrionid beetles captured.In conclusion,monthly variation in precipitation significantly influences the community dynamic of tenebrionid beetles,with precipitation and shrub cover jointly determining the spatial distribution pattern of these beetles in the Gobi desert ecosystems.

Prognostic value of inflammatory markers in predicting recurrencefree survival in gastrointestinal stromal tumor patients:A nomogram-based approach

BACKGROUND There are currently no relevant studies at home or abroad that combine inflammatory indicators and nomograms to predict the prognosis of gastrointestinal stromal tumor(GIST)patients after surgery.The purpose of this study was to investigate the predictive value of related inflammatory indicators[systemic immune-inflammation index(SII),neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR)and monocyte/Lymphocyte ratio(MLR)]in patients undergoing GIST surgery,incorporating relevant risk factors to establish a nomogram prediction model,with the aim of better predicting the prognosis of GIST patients.AIM To explore the relationships between the SII,NLR,PLR,and MLR and postoperative recurrence in patients with GIST.METHODS This study retrospectively included patients who underwent GIST surgery from January 2014 to January 2017 and analyzed the potential relationships between the preoperative SII,NLR,PLR,and MLR and clinicopathological features.The independent risk factors influencing the prognosis of GIST patients were obtained via multivariate regression analysis,and a nomogram model based on the independent risk factors was established.RESULTS Among the 124 GIST patients included in the present study,31(25%)experienced recurrence within 5 years.Kaplan-Meier survival analysis revealed a correlation between the MLR and PLR and tumor size(P=0.016 and P=0.002,respectively).The preoperative SII,MLR,NLR,and PLR were significantly associated with recurrence-free survival(RFS)(P<0.05).The multivariate analysis results identified the PLR,MLR,and targeted therapy as independent prognostic factors for patient outcomes.CONCLUSION Preoperative MLR and PLR,which are independent risk factors for GIST recurrence,were correlated with RFS.Nomograms based on the PLR,MLR and targeted therapy can be used for clinical treatment.

Development of a fast LC-QqQ-MS/MS method for detecting flavonoids in the phenylpropanoid pathway of plants

The phenylpropane metabolic pathway is one of the most significant metabolic pathways in plants,synthesizing more than 8,000 metabolites,including flavonoids,lignans,lignin,coumarins,and other metabolites through multiple branching pathways(Zhang and Liu 2015;Gao et al.2024).This pathway is crucial in plant growth,development,and plant-environment interactions(Dong and Lin 2021).

A new Q-band comb-based multi-channel microwave Doppler backward scattering diagnostic developed on the HL-3 tokamak

The Doppler backscattering(DBS)diagnostic is widely used to measure the localized density fluctuations and the propagation velocity of turbulent structures.Microwave is launched at a frequency that approaches a cutoff layer in the plasma at an angle oblique to the cutoff layer.A new Q-band multichannel DBS system based on a comb generator has been designed and tested for application on the HL-3 tokamak.With the comb generator and heterodyne scheme,the stability and flexibility of the new DBS system are improved.The new DBS diagnostic has a high output power(~10 dBm),good power flatness(<5 dB in Q-band),and frequency stability,and the inter-frequency separation is tunable remotely.This article introduces the system design,laboratory test results,and initial experimental results from the HL-3 tokamak.With the help of the newly developed multichannel DBS,the turbulence information can be studied with high temporal and spatial resolution.