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.

OBJECTIVE: To compare the therapeutic efficacy of portal and tail vein transplantation of bone marrow-derived mesenchymal stem cells (BMSCs) against cholestatic liver fibrosis in mice. METHODS: BMSCs were isolated and co-cultured with starvation-activated hepatic stellate cells (HSCs). HSC activation markers were identified using immunofluorescence and qRT-PCR. BMSCs were injected into the liver tissues of bile duct ligation (BDL) mice via the tail and portal veins. Histomorphology, liver function, inflammatory cytokines, and the expression of key proteins were all determined in the liver tissues. RESULTS: BMSCs inhibited HSC activation by reducing α-SMA and collagen I expression. Compared to tail vein injection, DIL-labeled BMSCs injected through the portal vein maintained a high homing rate in the liver. Moreover, BMSCs transplanted through the portal vein resulted in greater improvement in liver color, hardness, and gallbladder size than did those transplanted through the tail vein. Furthermore, BMSCs injected by portal vein, but not tail vein, markedly ameliorated liver function, reduced the secretion of inflammatory cytokines, including TNF-α, IL-6, and IL-1β, and decreased α-SMA + hepatic stellate cell (HSC) activation and collagen fiber formation. CONCLUSION The therapeutic effect of BMSCs on cholestatic liver fibrosis in mice via portal vein transplantation was superior to that of tail vein transplantation. This comparative study provides reference information for further BMSC studies focused on clinical cholestatic liver diseases.
Animals ; Mice ; Mesenchymal Stem Cell Transplantation ; Liver Cirrhosis/etiology* ; Male ; Cholestasis/therapy* ; Mice, Inbred C57BL ; Hepatic Stellate Cells ; Mesenchymal Stem Cells

Objective To construct and validate a diagnostic model based on mammography,MRI,and multimodal ultrasound for diagnosing benign and malignant for the breast imaging reporting and data system(BI-RADS)4 category breast nodule with malig-nant microcalcifications.Methods The data of 243 patients with BI-RADS 4 category breast nodule with malignant microcalcifica-tions were retrospectively analyzed and randomly divided into training set(194 cases)and validation set(49 cases)according to a ratio of 8︰2.According to the pathological results,the factors affecting the benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifications were analyzed,then constructed a diganostic model and validated it.Results There were 118 cases and 29 cases with malignant nodules and 76 cases and 20 cases with benign nodules in the training and validation sets,respectively.Logistic regression analysis of the training set showed that fine pleomorphic microcalcification morphology,apparent dif-fusion coefficient(ADC)value,low or very low echogenicity,and heterogeneous enhancement of microvesicle distribution within the nodules were the risk factors for benign and malignant diagnosis for BI-RADS 4 category breast nodule with malignant microcalcifica-tions(P<0.05).The nomogram prediction model based on the above factors corresponded to a risk rate range of 0.05 to 0.86,and the calibration curve for diagnosing benign and malignant BI-RADS 4 category breast nodule with malignant microcalcifications tended to be close to the ideal curve(P>0.05).The nomogram model for diagnosing malignant nodule for BI-RADS 4 category breast nod-ule with malignant microcalcifications showed that the sensitivity was 81.39%and 88.73%,the specificity was 90.02%and 82.51%,and the area under the curve(AUC)was 0.874 and 0.891 in the training set and validation set,respectively.Conclusion The model constructed based on mammography,MRI,and multimodal ultrasound has good diagnostic efficacy for BI-RADS 4 category breast nodule with malignant microcalcifications.

Objective:Investigating the migration pattern of microorganisms in the oil-water phase during the prep-aration of sterile test solutions for drugs by extraction method,providing reference for the pre-treatment of oil-based matrix test samples.Methods:Inoculate 6 strains of test bacteria separately into sterile isopropyl tetradecanoate,simulate the sample preparation process of extraction method,and detect the growth status of microorganisms in oil-water phase;Detect the recovery ratio of each test bacterium in the aqueous phase using the extraction method.Select semi-solid oily matrix samples and prepare the test solution using extraction method.Establish a sterility test method according to Part 1101 of the 2020 edition of the Chinese Pharmacopoeia.Results:After extraction,the recovery ratio of each test bacteria in the water phase is in the range of 0.64-0.89.After the oily matrix sample is extracted,the water phase is taken for microbial test,which effectively solves the problems of filter membrane blockage and difficult antibacterial removal,and is beneficial to the subsequent microbial inspection.Conclusion:The extraction method can improve the accuracy and sensitivity of microbial detection in the prepara-tion of test solutions for oily matrix samples.The applicability test of the established sterile inspection method meets the requirements of the Chinese Pharmacopoeia.

Objective To explore the latent profile analysis of oral frailty in elderly patients with multiple chronic conditions and to analyze the influencing factors of different potential profiles in order to provide a theoretical basis for constructing clinical intervention programs.Methods Convenience sampling method was used to select elderly patients with multiple chronic conditions in a tertiary hospital in Hefei City from July to December 2024 as the survey subjects.General information questionnaire,the Chinese version of the Oral Frailty Index-8,Mini-Nutritional Assessment Short-Form,Consumer Health Activation Index and Family APGAR Index Questionnaire were used to conduct the survey,and multivariate logistic regression was used to analyze the influencing factors.Results A total of 418 elderly patients with multiple chronic conditions were included,with a total oral frailty score of(7.21±2.83).Oral frailty in elderly patients with multiple chronic conditions can be classified into 3 potential profiles,namely severe oral frailty-low oral functioning group(60.53％),moderate oral frailty-high social behaviors group(8.85％),mild oral frailty-high oral health behavior group(30.62％).Age,family care,type of chronic disease,type of oral medication,and consumer health activation index were influential factors for different potential profiles(P＜0.05).Conclusion The oral frailty in elderly patients with multiple chronic conditions was heterogeneous.Caregivers should focus on the severe oral frailty-low oral functioning group and the moderate oral frailty-high social behavior group,and develop targeted interventions according to the patients'different profile characteristics and influencing factors to prevent and delay the occurrence of oral frailty.

Objective To investigate the status quo,driving factors and clinical intervention measures of intrinsic capacity(IC)in elderly patients with cerebrovascular disease.Methods Clinical data of 206 elderly patients with cerebrovascular disease admitted to our hospital from January to December 2024 were retrospectively collected.According to the IC score,they were divided into a low IC group(123 cases,IC score＜4)and a good IC group(83 cases,IC score≥4).The IC scores were compared between the two groups,and the driving factors affecting the IC were analyzed.Results The low IC group exhibited significantly lower IC score than the good IC group(1.94±0.49 vs 4.52±0.15,P＜0.01).The age ≥80 years,dysfunctions,three or more chronic diseases,frailty,albumin ≤ 35 g/L,pre-albumin ≤280 mg/L,rehabilitation guidance and regular exercises were the influencing factors of IC in elderly patients with cerebrovascular disease(P＜0.05,P＜0.01).Conclusion The IC of elderly patients with cerebrovascular disease is associated with many factors,and corresponding clinical intervention measures should be implemented to promote the improvement of patient's IC.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To construct a perioperative nursing intervention scheme for patients undergoing hepatic arterial infusion chemotherapy(HAIC)via brachial artery access and to discuss its clinical application.Methods By using systematic literature search method,a perioperative nursing intervention scheme was constructed.A total of 90 patients with confirmed hepatic malignancy,who were admitted to hospital to receive HAIC from February 2022 to August 2023,were collected to validate this perioperative nursing intervention scheme,and its clinical application effect was evaluated.Results Through two rounds of expert letter inquiry,a nursing intervention scheme containing five primary indicators and 16 secondary indicators was finally formulated.The clinical validation was conducted.After the implementation of this nursing intervention scheme,the incidences of phlebitis and limb swelling in the intervention group decreased from previous 17.78％ to post-intervention 2.22％ and from previous 33.33％ to post-intervention 8.89％,respectively.The patient's anxiety level and depressed mood were significantly improved;the HADS scores decreased by 35.2％and 36.6％,respectively;the EORTC QLQ-C30 scores in the dimensions of somatic,role,emotional,and social functioning were obviously improved and the quality of life was strikingly improved(all P＜0.05).Besides,in the patients of the intervention group the clinical symptoms(e.g.pain,nausea,etc.)were significant alleviated,and the severity of the symptoms as well as the degree of distress to the patients were significantly reduced,indicating that the nursing intervention plays an important role in relieving the symptoms,anxiety and depression of the patients.Conclusion The perioperative nursing intervention scheme constructed in this study for patients undergoing AIC via brachial artery access is scientific and practical,it provides an important reference basis for the therapeutic nursing care of patients with hepatic malignancy.

The prevalence of Class III malocclusion varies among different countries and regions. The populations from Southeast Asian countries (Chinese and Malaysian) showed the highest prevalence rate of 15.8%, which can seriously affect oral function, facial appearance, and mental health. As anterior crossbite tends to worsen with growth, early orthodontic treatment can harness growth potential to normalize maxillofacial development or reduce skeletal malformation severity, thereby reducing the difficulty and shortening the treatment cycle of later-stage treatment. This is beneficial for the physical and mental growth of children. Therefore, early orthodontic treatment for Class III malocclusion is particularly important. Determining the optimal timing for early orthodontic treatment requires a comprehensive assessment of clinical manifestations, dental age, and skeletal age, and can lead to better results with less effort. Currently, standardized treatment guidelines for early orthodontic treatment of Class III malocclusion are lacking. This review provides a comprehensive summary of the etiology, clinical manifestations, classification, and early orthodontic techniques for Class III malocclusion, along with systematic discussions on selecting early treatment plans. The purpose of this expert consensus is to standardize clinical practices and improve the treatment outcomes of Class III malocclusion through early orthodontic treatment.
Humans ; Malocclusion, Angle Class III/classification* ; Orthodontics, Corrective/methods* ; Consensus ; Child