Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

Objective:To investigate the distribution characteristics of urinary tract pathogens in patients with community-acquired urinary tract infection and their sensitivity to nenoxacin and levofloxacin.Methods:This prospective, multicenter clinical trial included patients with community-acquired urinary tract infection who were admitted to urological clinics at 9 clinical research centers from November 2021 to August 2022.Inclusion criteria: Patients aged 18-70 years with community-acquired acute uncomplicated cystitis(AUC), recurrent acute episodes of urinary tract infection(rUTI), and non-febrile complicated urinary tract infection(cUTI) with signs of urinary tract irritation and abnormal elevation of routine white blood cells in urine. Exclusion criteria: ①Patients who received effective antimicrobial therapy within 72 h before enrollment and lasted for more than 24 h. ②Fever (>37.3℃) or symptoms of upper urinary tract infection such as low back pain, tapping pain in the kidney area, etc. ③Indwelling urinary catheter. At the first visit, clean midstream urine samples were taken for bacterial culture, and the distribution characteristics of urinary pathogens of different types of urinary tract infections were analyzed. Extended spectrum β-lactamases (ESBLs) were measured for Gram-negative bacteria. The susceptibility of nenoxacin and levofloxacin to urinary tract pathogens was determined by disk diffusion method. Drug resistance rate, sensitivity rate were analyzed between different disease groups.Results:There were 404 enrolled patients from 9 hospitals, including 364 (90.1%) females and 40 (9.9%) males. A total of 177 strains of pathogenic bacteria were isolated, among which the highest proportion of Escherichia coli was 66.1% (117/177).Klebsiella pneumoniae was followed by 6.8% (12/177) and Streptococcus agalactis 5.1% (9/177). The bacterial spectrum distribution of AUC and rUTI were similar, and the proportions of Escherichia coli were 70.6% (85/119) and 65.9% (29/44), respectively. However, the proportions of Escherichia coli isolated from cUTI patients were only 28.6% (4/14) and Enterococcus faecalis 7.1%(1/14). The overall detection rate of ESBLs in Gram-negative bacteria was 30.9%(43/139). The sensitivity rate of nenoxacin was 74.6%(91/122), and the resistance rate was 25.4%(31/122). The overall sensitivity rate of levofloxacin was 44.9%(70/156) and the resistance rate was 36.5%(57/156). The rate of resistance of urinary tract pathogens to levofloxacin was 48.2% (27/56) in patients with previous urinary tract infection history, and 30.0% (30/100) in patients with no previous urinary tract infection history, the difference was statistically significant( P=0.023).The sensitivity rate of Gram-negative bacteria to nenofloxacin was 70.7% (65/92) and that to levofloxacin was 50.0% (46/92, P<0.001). The sensitivity of Gram-positive bacteria to nenofloxacin was 80.0% (16/20), and that to levofloxacin was 70.0% (14/20, P=0.009). Conclusions:The bacterial profile of out-patient community acquired urinary tract infection varies greatly according to different diseases. The proportion of Escherichia coli in AUC and rUTI patients is higher than that in cUTI. The detection rate of ESBLs in Gram-negative bacteria was lower than the domestic average.Patients with a history of urinary tract infection had a high risk of treatment failure with levofloxacin. The sensitivity of common urinary tract pathogens to nenofloxacin was higher than levofloxacin.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.

Human brain banks use a standardized protocol to collect,process and store post-mortem human brains and related tissues,along with relevant clinical information,and to provide the tissue samples and data as a resource to foster neuroscience research according to a standardized operating protocols(SOP).Human brain bank serves as the foundation for neuroscience research and the diagnosis of neurological disorders,highlighting the crucial rule of ensuring the consistency of standardized quality for brain tissue samples.The first version of SOP in 2017 was published by the China Human Brain Bank Consortium.As members increases from different regions in China,a revised SOP was drafted by experts from the China Human Brain Bank Consortium to meet the growing demands for neuroscience research.The revised SOP places a strong emphasis on ethical standards,incorporates neuropathological evaluation of brain regions,and provides clarity on spinal cord sampling and pathological assessment.Notable enhancements in this updated version of the SOP include reinforced ethical guidelines,inclusion of matching controls in recruitment,and expansion of brain regions to be sampled for neuropathological evaluation.

To understand the distribution of ticks in the Wuwei Region,enrich tick species data,and provide a basis for the prevention of tick-borne diseases,tick were collected using flagging and tick-picking methods during the highest activity period from April to September in 2021 and 2022 in the mountainous areas of Wuwei City.The ticks were identified based on morpho-logical and molecular biological characteristics,and characteristic sequences were obtained.A systematic evolutionary tree was constructed using the neighbor-joining method in MEGA 11.0 software.In total,7 342 ticks collected in Wuwei,which be-longed to 5 species from 4 genera with in the Ixodidae family,which included Dermacentor nuttalli,Hyalomma asiaticum,Ixodes canisuga,Haemaphysalis longicornis and Haema-physalis danieli.Ticks of the same species clustered together into the same branch of an evolutionary tree.In the Wuwei Re-gion,five common tick species are found across various habi-tats,with each habitat featuring different distributions of tick species and populations.The Dermacentor nuttalli is the dom-inant tick species in this area.

Objective:To investigate the clinical characteristics,coexisting gene mutations and prognosis of acute myeloid leukemia(AML)patients with GATA2 gene mutation.Methods:The clinical data of 370 newly diagnosed AML patients treated in our hospital from January 2008 to January 2021 was analyzed retrospectively,the next-generation sequencing technology was used to detect the mutated genes in those patients.The clinical characteristics of AML patients with GATA2 mutations,the co-mutated genes of GATA2 mutations,and the effect of GATA2 mutation on prognosis were analyzed.Results:A total of 23 patients(6.2％)with GATA2 mutation was detected in 370 AML patients.Compared with GATA2 non-mutation group,patients in GATA2 mutation group were mostly normal karyotypes(P=0.037)and in low-risk cytogenetic stratification(P=0.028).The incidence of CEBPAdm and NRAS in GATA2 mutation group was significantly higher than that in GATA2 non-mutation group(P=0.010,P=0.009).There were no statistically significant differences between the two groups in terms of sex,age,white blood cell count(WBC),platelet count,hemoglobin,bone marrow(BM)blast,induction chemotherapy regimen and CR rate(P＞0.05).Among the 23 patients with GATA2 mutation,the most common co-mutated genes were CEBPAdm,NRAS(both 39.1％),NPM1,FLT3,TET2,WT1(all 17.4％),ASXL1 and IDH1(both 13.0％).Survival analysis showed that there was no statistical difference in 5-year overall survival(OS)and leukemia-free survival(LFS)rates between patients with and without GATA2 mutations in whole cohort(n=370)(P=0.306,P=0.308).Among 306 patients without CEBPAdm,the 5-year OS and LFS rates in GATA2 mutation group showed an increasing trend compared with GATA2 non-mutation group,but the difference was not statistically significant(P=0.092,P=0.056).Among 64 patients with CEBPAdm,there was no statistically significant difference in 5-year OS rate between the GATA2 mutation group and the GATA2 non-mutation group(P=0.104),but the 5-year LFS rate of the GATA2 mutation group was significantly decreased(P=0.047).Among the 23 patients with GATA2 mutation,16 cases received the"3+7"induction regimen,of which 12 cases received allogeneic hematopoietic stem cell transplantation(allo-HSCT);7 cases received the"DCAG"induction regimen,of which 3 cases received allo-HSCT.The CR rate was not statistically different between the"3+7"regimen group and the"DCAG"regimen group(P=1.000).The 5-year OS rate and LFS rate in the transplantation group were significantly higher than the chemotherapy group(P=0.021,P=0.020).Conclusion:GATA2 mutation is more common in AML patients with normal karyotype and low-risk cytogenetic stratification,and it is significantly associated with CEBPAdm and NRAS co-mutations.The prognostic significance of GATA2 is influenced by CEBPAdm.The choice of"3+7"or"DCAG"induction regimen in patients with GATA2 mutation does not affect their CR rate,while the choice of allo-HSCT can significantly improved the prognosis compared with chemotherapy only.

Secondary organic aerosol(SOA)produced by photooxidation of styrene and other aromatic compounds is a major part of fine particles in urban atmosphere.In this study,the measurement of component and content of SOA formed from photooxidation of styrene in smog chamber using synchronous radiation vacuum-ultraviolet photoionization aerosol mass spectrometer(VUV-PIAMS)was conducted.Photoionization mass spectra of styrene SOA was detected by synchrotron radiation photon with 10.5 eV,and the proportion of main components was quantified based on the peak area of each ion peak.The photoionization efficiency curve of ion peak was obtained under synchrotron radiation photons in the range from 7.5 to 11.5 eV,and then the ionization potential was acquired for qualitative analysis of the component structure.The results showed that the photoionization mass spectra of styrene SOA mainly contained ion peaks at m/z 106,108,120 and 122,and the ionization potentials of each peak were(9.41±0.03)eV,(8.93±0.03)eV,(9.24±0.03)eV and(9.25±0.03)eV,respectively.Combined with quantum chemistry calculation and off-line measurement verification of infrared absorption spectra and electrospray ionization mass spectra,it was determined that benzaldehyde,benzyl alcohol,4-vinylphenol and benzoic acid were main components of styrene SOA,accounting for 32.5%,17.5%,25%and 15%of the measured components,respectively,and the generated quantity ratio was 13∶7∶10∶6.VUV-PIAMS could overcome the disadvantages of off-line method,and could on-line detect component and content of SOA,proving a useful tool to measure the chemical components and reveal the formation process of SOA particles.

Thyroglobulin(Tg)is a glycoprotein with large molecular weight,which is synthesized and secreted into the bloodstream by thyroid follicular cells.The concentration level of Tg in blood is one of the important biomarkers for diagnosis of thyroid diseases such as differentiated thyroid cancer(DTC),subacute thyroiditis,etc..Radioimmunoassay(RIA),immunoradiometric assay(IRMA),and immunochemiluminescence assay(ICMA)are the main clinical methods for detecting Tg.Recently,for meeting the requirement of detecting low concentration of Tg in blood after thyroid clearance surgery,researchers have developed various high-performance analysis methods for detecting Tg concentration in blood samples,providing new assays for thyroid disease screening and efficacy evaluation.This review summarized the analysis methods of Tg,especially the new progresses in the biosensors for monitoring low concentration of Tg in blood during the past five years.The current technical challenges of these methods in clinical applications were briefly discussed,which might provide useful information for developing new liquid biopsy methods of DTC.

An electrochemical chemical oxygen demand(COD)sensor was proposed based on a FTO/TiO2/PbO2 electrode and a thin-layer electrochemical cell.The FTO/TiO2/PbO2 electrode was characterized by X-ray photoelectronic spectroscopy(XPS),X-ray diffraction(XRD)spectroscopy and electrochemical technique,and the results indicated that the rapid decrease in the output signals of the electrochemical COD sensor could be attributed to oxidation of PbSO4 occurring on the surface of FTO/TiO2/PbO2 electrode.The PbO2 deposition time and concentration of Na2SO4 were further optimized and then the electrochemical COD sensor was challenged by real samples including laker water sample,river water sample and wastewater sample.The evolution trend of signals of the electrochemical COD sensor in response to lake and river water samples was identical with that obtained with the standard method(HJ/T399-2007,Water quality-determination of the chemical oxygen demand-fast digestion-spectrophotometric method).The electrochemical COD sensor exhibited significant increase in the signal intensity after the samples were switched from lake water to wastewater sample,and a mean value of 32.5 mg/L with relative standard deviation(RSD)of 6.8%were obtained after measuring 45 times the wastewater with COD value of 30 mg/L under a sampling interval of 400 s.The as-prepared electrochemical COD sensor possessed good promise in regular monitoring of COD,discharge of wastewater and industrial process control,with advantages such as a small sampling interval,mild reaction conditions and no requirement of toxic and harmful chemical reagents.

Objective To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation(MPR),and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.Methods The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected.Volume reconstruction(VR)and MPR were performed on the skull,and 160 cranial suture tomography images were generated for each sample.Then the MPR images of cranial sutures were scored according to the closure grading criteria,and the mean closure grades of sagittal suture,coronal sutures(both left and right)and lambdoid sutures(both left and right)were calculated respectively.Finally taking the above grades as independent variables,the linear regression model and four machine learning models for age estimation(gradient boosting regression,support vector regression,decision tree regression and Bayesian ridge regression)were established for northern Chinese Han adults age estimation.The accu-racy of each model was evaluated.Results Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest.All four machine learning models had higher age estimation accuracy than linear regression model.The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.Conclusion The combination of skull CT-MPR and machine learning model can be used for age esti-mation in northern Chinese Han adults,but it is still necessary to combine with other adult age estima-tion indicators in forensic practice.