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.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

ObjectiveTo investigate the effects of probiotics combined with bismuth quadruple therapy （BQT） on clinical efficacy、gastrointestinal adverse reactions and intestinal flora in Helicobacter pylori （HP） positive patients. MethodsThe patients who were positive for HP from May 2023 to July 2023 in the department of gastroenterology of Shanghai first people's hospital were randomly divided into2 groups with 40 people in each group. The probiotic group was given 2 weeks of quadruple therapy with probiotics and standard BQT， followed by 4 weeks of oral probiotics after quadruple discontinuation. The placebo group was given 2 weeks of probiotic placebo and standard BQT， followed by 4 weeks of oral probiotic placebo. ¹³C urea breath test was used to evaluate the clinical efficacy， gastrointestinal symptoms rating Scale was used to evaluate the gastrointestinal adverse reactions of patients before and after the intervention， and microbial diversity 16S rDNA sequencing technology was used to detect the level of intestinal flora of patients before and after the intervention. ResultsThere was no significant difference in the eradication rate between the two groups （P>0.05）. Before the intervention， there was no significant difference in the scores of the gastrointestinal symptom rating scale between the probiotic group and the placebo group. After the intervention， patients in the probiotic group had significantly lower pain scores on acid reflux （1.10±0.30 vs 1.35±0.53， P<0.05） and stomach or abdominal hunger than in the placebo group （1.07±0.26 vs 1.30±0.52， P<0.05）. Through the before-and-after comparison of the probiotic group， the scores of abdominal pain （1.24±0.44 vs 1.58±0.71， P<0.05）， stomach or abdominal hunger （1.07±0.26 vs 1.27±0.45， P<0.05） and dry and hard stool （1.24±0.49 vs 1.48±0.75，P<0.05） were significantly lower in the probiotic group than before the intervention in the probiotic group. ConclusionProbiotics combined with BQT can improve the gastrointestinal adverse reactions and intestinal flora disorders in the process of quadruple drug therapy， but it does not improve the eradication rate of HP.

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

Pancreatic cancer is one of the most prevalent malignant tumors of the digestive system， and its incidence and mortality rates are increasing year by year. Most patients with pancreatic cancer are unable to receive surgery due to the advanced stage. Although chemotherapy regimens based on gemcitabine and fluorouracil have prolonged the survival time of patients to some extent， some patients cannot tolerate chemotherapy and hence lose the opportunity for treatment. With the advent of the era of precision medicine， molecular-targeted therapy has exhibited an excellent therapeutic efficacy and has thus become one of the most important treatment techniques for tumors； however， due to the high heterogeneity of pancreatic cancer and its complicated tumor microenvironment， molecular-targeted therapy for pancreatic cancer has not achieved notable results. Therefore， it is imperative to seek new therapeutic targets and medications to overcome this issue. This article reviews the latest advances in the research on molecular-targeted therapy for unresectable pancreatic cancer based on common molecular targets and tumor immunity-related therapeutic targets， in order to provide new treatment strategies for patients with pancreatic cancer.

Objective To explore the characteristics of vaginal microecology and vaginitis distribution of female patients in Xi'an,so as to provide reliable reference for clinical treatment.Methods A total of 102 124 women in Shaanxi Provincial People's Hospital from January 2018 to August 2023 were selected as the research objects.Vaginal secretions were collected from patients,and the vaginal microecology was detected and analyzed.Results Among 102 124 female patients,99.87%had vaginal microecological imbalance.The main disease types were vulvovaginal candidiasis(VVC),accounting for 16.03%,bacterial vaginitis(BV),accounting for 9.61%and trichomonal vaginitis(TV),accounting for 1.34%.Statistical analysis showed that the age of VVC,BV and TV patients was mainly 21～30 years old.The prevalence of VVC and BV in summer and autumn was higher than that in other seasons,while the prevalence of TV was relatively high in summer.In addition,there were 27 552 cases of simple vaginitis(26.98%)and 1 443 cases of mixed vaginitis(1.41%)in 101 995 female patients with vaginal microecology imbalance.In patients with mixed vaginitis,the BV+VVC combination accounted for the vast majority(79.00%),and the age group was mainly between 21 and 40 years old.Among the 28 995 patients with vaginitis,4 308 patients(14.86%)had recurrence,and the recurrence rate of simple vaginitis(11.44%,3 152/27 552)was much lower than that of mixed vaginitis(80.11%,1 156/1 443).Conclusion The main type of female simple vaginitis in Xi'an is VVC,which has a high prevalence in summer and autumn.The main type of mixed vaginitis is BV+VVC,Compared with simple vaginitis,patients with mixed infection are more likely to relapse.

Objective To establish an indirect enzyme-linked immunosorbent assay(ELISA)method for testing the concentration of a monoclonal antibody target tumor necrosis factor-α(TNF-α)in animal serum.Methods The critical parameters of the method including coating concentration of human TNF-α,source,concentration and stability of HRP-labeled goat anti-human immunoglobulin G(IgG)were investigated.The specificity,accuracy,precision,linearity and Limited of Determination of the method were investigated.Results The critical parameters of the method were confirmed as below:TNF-α was coated at 400 ng·mL-1;HRP labeled goat anti-human IgG antibody was diluted at 1:3.0 ×105;the diluted horseradish peroxidase labeled goat anti-human IgG antibody is well stored at 4 ℃ for 3 days.Meanwhile the method was confirmed to have good specificity,the recovery rate ranged from 84.00％to 106.82％,the coefficient of variation of different antibody concentration levels were no more than 10％;the method had a good linearity and the standard curve was y=(-8.37×103-2.37 × 106)/[1+(x/29.80)106]+2.37 × 106(R2=0.999);the limit of quantification was 1 ng·mL-1,all of which met the requirements.Conclusion A accurate and robust ELISA method was developed to test the concentration of anti-TNF-α monoclonal antibody in serum.

Radiation mainly comes from medical radiation,industrial radiation,nuclear waste and atmospheric ultraviolet radiation,etc.,radiation is divided into ionizing radiation and non-ionizing radiation.Studying the effects of ionizing and non-ionizing radiation on drug metabolism,understanding the absorption and distribution of drugs in the body after radiation and the speed of elimination under radiation conditions can provide reasonable guidance for clinical medication.This article reviews the effects of radiation on the pharmacokinetics of different drugs,elaborates the changes of different pharmacokinetics under radiation state,and discusses the reasons for the changes.

Objective To investigate the clinical features and prognosis of acute pancreatitis(AP)complicated with metabolic syndrome(MS).Methods 139 AP patients were retrospectively selected and divided into MS group(76 cases)and non-MS group(63 cases),general data of the two groups were collected and analyzed;conservative treatment was given to 2 groups of patients,and the general conditions,laboratory indicators,comorbidities,and related indicators of disease severity of the two groups were compared and analyzed,and the influencing factors of poor prognosis in patients(AP combined with MS)were analyzed.Results Compared with non-MS group,HDL,Ca2+in MS group decreased significantly,Body weight、Body Mass Index(BMI)、diabetes mellitus、hypertension(systolic/diastolic blood pressure)、hyperlipidemia、white blood cell count、CRP、PCT、IL-6、FPG、UA、TC、TG、TyG、TYG-BMI and non-traditional lipid parameters TC/HDL-C、TG/HDL-C、LDL-C/HDL-C and non-HDL-C were significantly increased.There were no significant differences in age、sex、length of stay、BUN、CREA、LDL-C、ALT and AST between the two groups(P＞0.05);BMI,white blood cell count,CRP,IL-6,FPG,UA,TC,TG,TyG,TYG-BMI,TC/HDL-C,TG/HDL-C,LDL-C/HDL-C,and non-HDL-C were independent risk factors for poor prognosis in AP patients with MS,and HDL-C was a potential protective factor for prognosis in AP patients with MS,the difference was statistically significant(P＜0.05).Conclusion With the change of modern lifestyle,there are more and more MS patients,and the incidence of MS patients with AP is gradually increasing.TyG,TYG-BMI and non-traditional lipid parameters are novel,convenient and practical markers for clinical evaluation,which have a high diagnostic and predictive value for AP with MS metabolic abnormalities,and provides clinical basis for management and intervention.

Cells are the fundamental structural and functional units of biological organisms,with inherent differences in composition and interactions with exogenous substances,known as cellular heterogeneity.Single cell inductively coupled plasma-mass spectrometry(SC-ICP-MS)allows for the high-throughput introduction of individual cells,enabling the highly sensitive detection and quantification of elements within a single cell,thus effectively providing information on cellular heterogeneity.This review outlined the SC-ICP-MS sample preparation process for different types of cells(single-cell systems,aggregation-prone and adherent cell systems,animal tissues,and plant tissues),including steps such as separation,washing,and fixation,as well as the advantages and existing issues of the current sample introduction systems and quantification methods.The recent applications of SC-ICP-MS in detecting endogenous substances(endogenous elements and proteins),exogenous substances(heavy metals,metal-based drugs and nanoparticles),and the simultaneous detection of both endogenous and exogenous substances were summarized.Finally,the perspectives on the future development of SC-ICP-MS in analytical methods and application fields were presented,including the optimization of single-cell sample preparation,transport efficiency,evaluation standards of ionization efficiency,and the establishment of multiparametric cell analysis platforms.