Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

OBJECTIVE To screen the primary processing methods of Ligusticum sinense slice based on differential metabolites， and provide theoretical basis for the scientific processing of L. sinense. METHODS Using 13 groups of L. sinense slice processed by fresh-cutting or traditional methods as samples， UHPLC-QE-MS was employed for metabolite identification. Multivariate statistical analysis was applied to screen differential metabolites among the 13 sample groups， analyzing the effects of washing， soaking， drying methods， and drying cycles on both the relative expressions of differential metabolites and the contents of carboxylic acids and their derivatives in the samples （to reflect the total amino acid content）. RESULTS Principal component analysis and partial least squares-discriminant analysis both showed significant intergroup differences among the 13 sample groups. A total of 688 differential metabolites were screened from the 13 sample groups， with carboxylic acids and their derivatives showing the highest proportion. The relative expression levels of phosphatidylcholine significantly increased after washing treatment， while tryptophan expression significantly decreased after soaking treatment. Samples dried at 50-60 ℃ showed significantly increased expression of psoralen， whereas those dried at 40 ℃ showed significantly decreased expression of methyl -p- methoxycinnamate. Both washing and soaking treatments significantly reduced the total amino acid content in samples， while secondary drying significantly increased it. The three controlled-temperature drying methods maintained relatively stable total content of amino acids in samples. CONCLUSIONS The optimal processing protocol for L. sinense slice is as follows: fresh L. sinense slice should be freshly cut at the production site， undergo quick washing after soil removal， and be dried twice at 40 ℃ （before and after slicing）.

Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

Objective: To reveal the molecular mechanism underlying the compatibility of Salvia miltiorrhiza Bge (S. miltiorrhiza, Dan Shen) and C. tinctorius L. (C. tinctorius, Hong Hua) as an herb pair through network pharmacology and subsequent experimental validation. Methods: Network pharmacology was applied to construct an active ingredient-efficacy target-disease protein network to reveal the unique regulation pattern of S. miltiorrhiza and C. tinctorius as herb pair. Molecular docking was used to verify the binding of the components of these herbs and their potential targets. An H9c2 glucose hypoxia model was used to evaluate the efficacy of the components and their synergistic effects, which were evaluated using the combination index. Western blot was performed to detect the protein expression of these targets. Results: Network pharmacology analysis revealed 5 pathways and 8 core targets of S. miltiorrhiza and C. tinctorius in myocardial protection. Five of the core targets were enriched in the hypoxia-inducible factor-1 (HIF-1) signaling pathway. S. miltiorrhiza-C. tinctorius achieved vascular tone mainly by regulating the target genes of the HIF-1 pathway. As an upstream gene of the HIF-1 pathway, STAT3 can be activated by the active ingredients cryptotanshinone (Ctan), salvianolic acid B (Sal. B), and myricetin (Myric). Cell experiments revealed that Myric, Sal. B, and Ctan also exhibited synergistic myocardial protective activity. Molecular docking verified the strong binding of Myric, Sal. B, and Ctan to STAT3. Western blot further showed that the active ingredients synergistically upregulated the protein expression of STAT3. Conclusion The pharmacodynamic transmission analysis revealed that the active ingredients of S. miltiorrhiza and C. tinctorius can synergistically resist ischemia through various targets and pathways. This study provides a methodological reference for interpreting traditional Chinese medicine compatibility.

ObjectiveTo make statistics on the biological characteristics， medicinal parts， chemical components， and other aspects of thorny medicinal plants and systematically analyze the correlations between their natures， tastes， and meridian tropism， so as to provide a theoretical basis for the clinical application and resource development of these plants. MethodThe Chinese Pharmacopoeia （2020 edition） and the processing standards of various provinces and cities and other related documents were reviewed， on the basis of which 46 species of thorny medicinal plants were selected. The natures， tastes， meridian tropism， medicinal parts， chemical components， pharmacological activities， and geographical distribution of these plants were summarized and analyzed in Excel 2013 and SPSS Statistics 26.0. ResultThe 46 species of thorny medicinal plants belonged to 25 families， 1 class， 1 phylum of 1 kingdom. In terms of the location of thorns， the frequency of these medicinal plants followed the trend of leaf thorns>peel thorns>branch thorns>fruit thorns. In terms of the nature， taste， and meridian tropism， the frequency of these plants was in the orders of warm>plain>cold>cool>hot， bitter>sweet>pungent>sour>salty， and liver>lung>spleen=large intestine>heart>kidney， respectively. In terms of the medicinal parts， the frequency followed the trend of roots and rhizomes>fruits>whole plants>flowers>leaves. The thorny medicinal plants were mainly distributed in north and southwest China. The thorny medicinal plants mainly contained flavonoids， alkaloids， and saponins and had the effects of clearing heat and detoxifying， resolving stasis and eliminating carbuncle， moving Qi and relieving pain， and alleviating edema and expelling pus. Moreover， 24 of them had anti-tumor activity. ConclusionMost of the thorny medicinal plants belong to Compositae， Leguminosae， and Rosaceae， have leaf thorns， a warm nature， a bitter taste， tropism to the liver meridian， and roots as the medicinal part. These plants are mainly distributed in north China， with the effects of clearing heat and detoxifying， resolving stasis and eliminating carbuncle. In summary， the thorn location， distribution， and medicinal parts of thorny medicinal plants are correlated with the natures， tastes， and meridian tropism. The findings provide clues for the development and utilization of these plants.

Background Chrysotile is widely used in construction and industry. Research has shown that it is associated with lung fibrosis in occupational groups, but the involvement of microRNAs (miRNAs) in chrysotile-induced lung fibrosis has been less well studied, and the specific mechanism is still unclear. Objective Using next-generation sequencing technology to analyze the effects of chrysotile exposure on the miRNAs expression profiles of human lung epithelial cells (BEAS-2B cells), to explore the variations of differentially expressed miRNAs and related signaling pathways, and to identify potential targets and molecular mechanisms of chrysotile-induced lung fibrosis. Methods Chrysotile was analyzed with a laser particle size analyzer and an X-ray diffractometer for particle size and physical phase. BEAS-2B cells were exposed to chrysotile for designed time sessions (12, 24, and 48 h) and doses (0, 50, 100, and 200 μg·mL⁻¹). Cell viability was detected with a cell viability assay kit (CCK8); expression levels of Fibronectin, Collagen-Ⅰ, and α-smooth muscle actin (α-SMA) were detected by Western blot after exposure to 200 μg·mL⁻¹ chrysotile for 24 h. Sample correlation and changes in miRNAs expression profiles between the chrysotile-exposed and the control groups were analyzed by next-generation sequencing technology. The target genes of differentially expressed miRNAs were predicted and subjected to Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Results The average particle size of the chrysotile dust sample used in this study was 3.58 μm, and the results of X-ray diffraction analysis confirmed the characteristic peaks of chrysotile. Compared with the control group, the chrysotile gradually inhibited the survival rate of BEAS-2B cells with increasing concentration and exposure time (P<0.01). The survival rates of the 50, 100, and 200 μg·mL⁻¹ chrysotile-exposed cells after 12 h exposure were 83.88%±1.86%, 78.07%±3.97%, and 71.95%±2.99%, respectively; the survival rates after 24 h exposure were 77.41%±1.58%, 69.57%±2.23%, and 62.79%±3.65%, respectively; the survival rates after 48 h exposure were 74.31%±4.93%, 65.84%±2.71%, and 52.74%±6.31%, respectively. The Fibronectin, Collagen-Ⅰ, and α-SMA protein expression levels were elevated in the 200 μg·mL⁻¹ chrysotile-exposed BEAS-2B cells (P <0.05). The results of principal component analysis showed that there were differences in the composition of the samples between the chrysotile exposure group and the control group, and a total of 163 differential miRNAs were screened, of which 79 were up-regulated and 84 were down-regulated. The results of GO analysis showed that the differential miRNAs were mainly associated with biological processes such as regulation of transcription by RNA polymerase II, regulation of DNA templated transcription, cellular differentiation, protein phosphorylation, lipid metabolism, and cell cycle, cellular components such as nucleus, cytomembrane, cytoskeleton, mitochondria, and endoplasmic reticulum, as well as molecular functions such as protein binding, metal ion binding, transferase activity, and DNA binding. The results of KEGG analysis revealed that the differential miRNAs were mainly enriched in cancer pathway, phosphatidylinositol 3-kinase/ protein kinase B (PI3K/AKT) pathway, Ras-associated protein 1 (Rap1) pathway, calcium pathway, cyclic guanosine monophosphate/ protein kinase G (cGMP-PKG) pathway, Hippo pathway, cyclic adenosine monophosphate (cAMP) pathway, and Ras pathway. Conclusion Chrysotile exposure could significantly inhibit BEAS-2B cell survival, elevate the expression of lung fibrosis-associated proteins, and induce differential miRNAs expression, affecting biological processes (such as lipid metabolism, protein phosphorylation, and cell cycle) and cell components (such as mitochondria and endoplasmic reticulum), and interfering with PI3K/AKT pathway, Hippo pathway, cAMP pathway, Rap1 pathway, and Ras pathway.

Objective To compare the differences in lower limb force line between degenerative medial meniscus injuries and lateral meniscus injuries and investigate their correlation.Methods A total of 90 patients who underwent arthroscopic treatment for meniscal injuries between March 2019 and March 2022 were enrolled in the study.They were 45 males and 45 females,at a median age of 52 years(ranging from 40 to 59 years).Of these patients,47 had medial meniscus injuries,while 43 had lateral meniscus injuries.The hip-knee-ankle(HKA)angle was measured on full-length films,and the differences were compared between the 2 groups.Results There were no significant differences in terms of gender,age,lower limb laterality,body mass index,site of injury,and type of injury between the medial meniscus injury group and the lateral meniscus injury group.Statistical difference was observed in the mean HKA angle,with a value of(177.20±2.46)° in the medial meniscus injury group and of(181.05±3.13)° in the lateral meniscus injury group(P＜0.01).Conclusion There is a significant difference in HKA angle between medial meniscus injury group and the lateral meniscus injury group.A correlation is found between lower limb alignment and degenerative meniscus injury.