Objective Integrating ideological and political education into university curricula is an effective approach for nurturing moral integrity and holistic education. This study aims to explore the effective incorporation of the “two bombs, one satellite” spirit into the ideological and political education of the Nuclear Electronics course, find an effective way to enhance student professional literacy and ideological and political awareness, and achieve collaborative educational objectives. Methods Using the Nuclear Electronics course as a case study and aligning with the educational positioning of the university and the major, objectives were established for knowledge acquisition, skill development, and ideological and political education. A case repository of ideological and political education tailored to the course was constructed by integrating ideological and political elements such as the “two bombs, one satellite” to reinforce foundational knowledge and expand into cutting-edge topics. An instructional paradigm that combines theory with practical application and integrates online and offline resources was adopted. To stimulate student engagement of learning, improve the quality of learning, and strengthen ideological and moral education, a comprehensive assessment framework was devised. Results The effectiveness of ideological and political education was evaluated by comparing the course performance between the experimental group (with curriculum ideology and politics reform) and the control group (without curriculum ideology and politics reform). The experimental group showed 20.5% and 31.3% improvements in short-answer questions and calculation problems, respectively. A comparison of survey questionnaire scores and final grades revealed a strong correlation between student awareness of curriculum ideology and politics and their academic performance. The study demonstrated that this approach increased student interest in learning, enhanced their recognition and pride in major national scientific achievements, and achieved an organic integration of knowledge impartation and value guidance. Conclusion This study confirms the effectiveness of integrating the “two bombs, one satellite” spirit into the ideological and political education of the Nuclear Electronics course. This approach provides new ideas and methods for ideological and political education in universities, achieves the goal of collaborative education, and is of great significance in improving the quality of talent cultivation in higher education.

Objective　To detect clustered regularly interspaced short palindromic repeats (CRISPR) in Listeria monocytogenes, and analyze the structure and homology of CRISPR loci. Methods Totally 34 strains of Listeria monocytogenes isolated in our laboratory were identified, PCR amplified and sequenced. The repeat sequence structure and spacer sequence homology in CRISPR loci were analyzed by bioinformatics software. Results A total of 7 CRISPR loci were detected in 34 strains. The mutation rate of the first 2 and last 2 bases of the Repeat sequence of CRISPR loci was higher, while the mutation rate of the middle part was lower. Seven CRISPR sites form eight CRISPR structural types, among which the Repeat sequences of CRISPR1 and CRISPR2 are relatively conserved, while the Repeat sequences of CRISPR1 and CRISPR5 can form dumbbell shaped secondary structures. The number of Spacer sequences contained in each CRISPR site ranges from 2 to 15, with an average of 2.43. The 136 Spacer sequences detected were not only homologous to Listeria plasmids and bacteriophages, but also homologous to uncultured virus sequences, staphylococcal bacteriophages, and Listeria innocua. The same CRISPR genotype did not show large-scale clustering, but some strains in the same year were in the same evolutionary cluster with close genetic relationships. Conclusion The CRISPR structure of Listeria monocytogenes in this study exhibits high specificity, and its homology with bacteriophages provides a theoretical basis for the application of bacteriophages in the control and prevention of Listeria monocytogenes.

Alzheimer's disease (AD), characterized by β-amyloid (Aβ) aggregation and neuroinflammation, remains a formidable clinical challenge. Herein, we present an innovative nose-to-brain delivery platform utilizing lactoferrin (Lf)-functionalized lipid nanoparticles (LNPs) co-encapsulating α-mangostin (α-M) and β-site APP cleaving enzyme 1 (BACE1) siRNA (siB). This dual-modal therapeutic system synergistically combines the neuroprotective and microglia-reprogramming capabilities of α-M with the transcriptional silencing of BACE1 via siB, thereby simultaneously inhibiting Aβ production and enhancing its clearance. Fabricated via a microfluidic approach, the LNPs exhibited uniform particle size distribution, great encapsulation efficiency, and robust colloidal stability. Upon intranasal administration, Lf-functionalization enabled superior brain-targeting efficacy through receptor-mediated transcytosis. In vitro studies demonstrated that α-M reversed Aβ-induced low-density lipoprotein receptor downregulation, promoting microglial phagocytosis and autophagic degradation of Aβ, while siB effectively suppressed BACE1 expression, abrogating Aβ synthesis. In vivo investigations in APP/PS1 transgenic mice revealed remarkable cognitive recovery, substantial Aβ plaque reduction, and alleviation of neuroinflammation and oxidative stress. This intricately designed LNP system, exploiting a non-invasive and efficient nose-to-brain delivery route, provides a biocompatible, synergistic, and transformative therapeutic strategy for the multifaceted management of AD.

Objective To investigate the value of contrast-enhanced ultrasound(CEUS)liver imaging reporting and data system version 2017(LI-RADS v2017)in the differential diagnosis between hepatocellular carcinoma(HCC)and other hepatic malignancies(OM)less than or equal to 3 cm.Methods The clinical and imaging data of 163 liver lesions less than or equal to 3 cm in 126 patients with pathologically-confirmed liver malignancy were retrospectively analyzed.The patient underwent CEUS from Jan.2018 to Jun.2022 in our hospital,including 133 with HCC and 30 with OM.Nodules were classified based on the CEUS features according to the CEUS LI-RADS v2017.The evaluation of CEUS characteristics and CEUS LI-RADS v2017 in differential diagnosis of HCC and OM were calculated based on pathological findings.Results There were significant differences in the characteristics of arterial phase enhancement,timing of washout onset and washout degree between the HCC group and the OM group(all P＜0.001).The HCC group was mainly LR-3(20 lesions,15.04%),LR-4(25 lesions,18.80%)and LR-5(82 lesions,61.65%),and the OM group was mainly LR-M(28 lesions,93.33%).The specificity and positive predictive value of late washout for HCC were 93.33%(28/30)and 98.06%(101/103),respectively;and the sensitivity of early washout for OM was 93.33%(28/30).With LR-5 as the criterion to diagnose HCC,the sensitivity was 61.65%(82/133),the specificity was 93.33%(28/30),and the positive predictive value was 97.62%(82/84);with LR-4/5 as the criterion to diagnose HCC,the sensitivity was 80.45%(107/133),the specificity was 93.33%(28/30),and the positive predictive value was 98.17%(107/109),with the sensitivity of LR-4/5 being significantly higher than those of LR-5(P=0.001).With LR-M as the criterion to diagnose OM,the sensitivity was 93.33%(28/30)and the specificity was 95.49%(127/133).Conclusion The CEUS LI-RADS v2017 can effectively distinguish HCC from OM less than or equal to 3 cm.LR-5 has a low sensitivity for HCC,while LR-4/5 can improve the sensitivity for HCC.

Objective:To screen for microRNAs(miRNAs)highly expressed in the serum exosomes(Exo)of esophageal squamous cell carcinoma(ESCC)patients and analyze their relationship with the clinicopathological characteristics of the patients,and to explore the potential of Exo-derived miRNAs as clinical auxiliary diagnostic markers for ESCC.Methods:Serum and relevant clinical data of 50 healthy subjects and 45 newly diagnosed ESCC patients admitted to the Fourth Hospital of Hebei Medical University between December 2021 and June 2023 were collected,serving as the control group and the ESCC group respectively.The Gene Expression Omnibus(GEO)database and qPCR were used to screen and identify the candidate miRNA for increased expression in the serum of ESCC patients-miR-1246.The diagnostic efficacy of serum miR-1246 for ESCC was analyzed by the receiver operating characteristic curve.The relationship between miR-1246 and the clinical feature progression of ESCC patients was analyzed by Logistic regression,and the relationship between miR-1246 and the clinicopathological characteristics of ESCC patients was analyzed by the χ2 test.Exosomes in the serum of the subjects were isolated,purified and characterized for verification.The expression of miR-1246 in Exo was detected by qPCR.ESCC KYSE150 and KYSE30 cells were routinely cultured.mimics-NC and miR-1246 mimics were transfected respectively into KYSE150 cells using Lipofectamine 2000.Inhibitor-NC and miR-1246 inhibitor were transfected into KYSE30 cells,which were respectively denoted as the minics-NC,miR-1246 mimics,inhibitor-NC and miR-1246-inhibitor groups.KYSE150 and KYSE30 cells were treated with Exo derived from KYSE150 cells in the mimics-NC and miR-1246 mimics groups.The proliferation,migration and invasion abilities of cells in each group were detected by the CCK-8 assay,scratch wound healing assay and Transwell chamber assay respectively.The expressions of Exo markers,epithelial-mesenchymal transition-related proteins,TET family methylcytosine dioxygenase 2(TET2)and cell adhesion molecule 1(CADM1)proteins in each group of cells were detected by WB assay.The targeting binding relationship between miR-1246 and TET2 and CADM1 was verified by the dual-luciferase reporter gene assay.Results:Bioinformatics screening showed that the miRNA with the most significant differential expression in the serum of ESCC patients was miR-1246.The serum Exo extracted from the patients conformed to the typical Exo characteristics.The expression level of serum Exo-miR-1246 in ESCC patients at stages Ⅰ-Ⅱ was significantly higher than that in healthy subjects(P<0.01);the level of serum Exo-miR-1246 in ESCC patients at stages Ⅲ-Ⅳ was significantly higher than that in patients at stages Ⅰ-Ⅱ(P<0.01).ROC curve analysis showed that Exo-miR-1246 in serum had a high value for auxiliary differential diagnosis of ESCC(P<0.05),and the auxiliary diagnostic efficacy of Exo-miR-1246 for the clinical progression of ESCC patients was higher than that of CEA and SCC-Ag(P<0.05).The combined detection of the three could further improve the efficacy of auxiliary diagnosis of patient staging(P<0.01).Exo-miR-1246 might be an independent risk factor for the clinical progression of ESCC patients(P<0.05).The expression level of serum Exo-miR-1246 was associated with the T-stage,N-stage and clinical stage of ESCC(P<0.01).Overexpression of miR-1246 could promote the proliferation,migration,invasion,epithelial-mesenchymal transition and inhibit apoptosis of ESCC cells,while inhibition of miR-1246 had the opposite effect.Database data analysis found that TET2 and CADM1 were the target genes of miR-1246.The dual-luciferase reporter gene assay confirmed that miR-1246 could directly bind to TET2 and CADM1 mRNA and inhibit their expressions(P<0.01).Treatment of KYSE150 and KYSE30 cells with Exo derived from cells overexpressing miR-1246 had the same effect as overexpressing miR-1246 in these cells.Conclusion:Exo-derived miR-1246 has the potential to be a clinical auxiliary diagnostic marker for ESCC.It may affect the occurrence and development of ESCC by regulating the expression levels of TET2 and CADM1.

Objective:To investigate the water improvement status and current disease situation in drinking water-borne endemic fluorosis areas of Taiyuan City, evaluate the effect of prevention and control measures, and provide a basis for optimizing control measures.Methods:Monitoring data from 2019 to 2024 for drinking water-borne endemic fluorosis in the diseased areas in Taiyuan City were collected from the Taiyuan Center for Disease Control and Prevention. A retrospective analysis was conducted on water improvement status, water fluoride content, dental fluorosis in children aged 8 - 12, skeletal fluorosis, and urinary fluoride monitoring results in all endemic villages.Results:From 2019 to 2024, all endemic villages in the six endemic counties (districts) of Taiyuan City completed water improvement. The number of water improvement projects each year was 75, 75, 72, 68, 64, and 57, respectively, with all projects operating normally. The qualified rates of water fluoride content each year were 81.33% (61/75), 100% (75/75), 98.61% (71/72), 75.00% (51/68), 87.50% (56/64), and 75.44% (43/57), respectively, with statistical significant differences ( χ2 = 36.99, P < 0.001). The detection rates of dental fluorosis each year were 18.19% (600/3 298), 14.42% (530/3 676), 11.14% (435/3 904), 11.13% (421/3 781), 11.59% (435/3 754), and 5.37% (299/5 567), respectively, with statistical significant differences ( χ2 = 386.42, P < 0.001). In 2024, 824 people were screened for skeletal fluorosis, with 250 cases showing positive symptoms and signs. Among the 250 positive cases, 210 underwent X-ray examination, detecting 170 skeletal fluorosis patients, with an X-ray positive rate of 80.95% (170/210) and a skeletal fluorosis detection rate of 20.63% (170/824). Urinary fluoride monitoring results showed that the geometric mean of urinary fluoride in villages with excessive water fluoride content was 2.95 mg/L, which was higher than the normal upper limit (1.60 mg/L). However, there was no statistically significant difference in urinary fluoride levels between skeletal fluorosis patients and non-skeletal fluorosis individuals ( Z = 0.78, P = 0.434). Conclusions:From 2019 to 2024, the drinking water-borne endemic fluorosis areas in Taiyuan City have undergone comprehensive water improvement and the water improvement projects are operating well. The qualified rate of water fluoride content has fluctuated, while the detection rate of dental fluorosis has decreased. Continuous monitoring is needed in the future to implement long-term water improvement measures and strengthen screening and treatment efforts for patients with fluorosis.

Objective:To integrate implicit templates with deep learning techniques, a novel neural network, the tooth-deformable deep implicit network (T-DDIN), was constructed to achieve high-precision shape completion of tooth defects in a personalized manner.Methods:A total of 550 intraoral scan models were collected from patients treated at the Department of Orthodontics and Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University (500 for training and 50 for testing), between March 2022 and March 2024. T-DDIN reconstructed defective tooth morphology using an implicit template and a latent encoding prediction network. During model evaluation, Class Ⅱ cavity defects and occlusal wear defects were simulated in the test set. Morphological restoration was performed using both traditional computer aided design (CAD) methods and the T-DDIN deep learning approach. The two methods were compared based on three-dimensional deviation, occlusal adjustment volumes, cusp angle deviation, and restoration time.Results:The T-DDIN group demonstrated significantly lower three-dimensional deviation for Class Ⅱ cavity defects and occlusal wear restoration [(0.14±0.05) and (0.16±0.09) mm], occlusal adjustment volumes [(0.44±0.03) and (0.49±0.03) mm 3], and difference value of the tooth cusp angles (5.69°±1.90° and 6.04°±0.53°) compared to the traditional CAD group (both P<0.001). No significant differences were observed within the T-DDIN group between the two defect types in terms of three-dimensional deviation ( P=0.098) or occlusal adjustment volume ( P=0.154) or difference value of the tooth cusp angles ( P=0.196). However, in the traditional CAD group, three-dimensional deviation, occlusal adjustment volume and difference value of the tooth cusp angles was significantly higher in occlusal wear restorations than in Class Ⅱ cavity defects restorations ( P<0.001). The T-DDIN group, which involved Class Ⅱ cavity defects and occlusal wear, demonstrated significantly less recovery time of morphology (37.2±7.7) and (39.4±6.2) s compared to the traditional CAD group ( P<0.001). Conclusions:T-DDIN demonstrated superior stability and accuracy in morphological reconstruction for various types of dental defects while significantly reducing restoration time.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To investigate the value of machine learning models based on CT radiomics for predicting the outcome of neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).Methods:A retrospective case series study was conducted. A total of 279 LAGC patients receiving NAC before surgery in Shanxi Province Cancer Hospital from January 2018 to November 2020 were included. According to a ratio of 7∶3, all patients were randomly divided into the training set (196 cases) and the validation set (83 cases). According to the tumor regression grade (TRG), the pathological grade was divided into the good response of NAC (GR) group (TRG 0-1, 55 cases) and the poor response of NAC (PR) group (TRG 2-3, 224 cases). The clinicopathological data of patients were collected, such as age, gender, differentiation degree, clinical T and N staging, carcinoembryonic antigen (CEA), and carbohydrate antigen 199 (CA199) level. Radiomics features were extracted from the enhanced CT images in the vein phase, and the features were screened by 3-step dimensionality reduction. And then 5 machine learning algorithms including logistic regression (LR), naive bayes (NB), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) were applied to build prediction models based on the CT radiomics. The receiver operating characteristic (ROC) curve and the decision analysis (DCA) curve were drawn to evaluate the predictive performance and clinical benefit of each model on the outcome of NAC in patients with LAGC.Results:Among 196 patients in the training set, there were 39 cases in GR group and 157 cases in PR group; among 83 patients in the validation set, there were 16 cases in GR group and 67 cases in PR group. There were no statistically significant differences in clinicopathological data of patients between the training and validation sets, or between GR and PR groups in the training and validation sets (all P > 0.05). A total of 102 radiomics features were extracted from region of interest of CT images in the vein phase, and 6 key features were finally selected including original_firstorder_10Percentile, original_firstorder_RoubustMeanAbsoluteDeviation, original_glcm_Idmn, original_glcm_MCC, original_ngtdm_Busyness, original_ngtdm_Contrast; and there were statistically significant differences in 6 features between the GR and PR groups (all P < 0.05). LR, NB, RF, SVM and XGB machine learning algorithms were used to construct 5 prediction models based on the CT radiomics. The area under ROC curve for NAC prediction in the training set was 0.553, 0.709, 0.668, 0.772 and 0.790, respectively; in the validation set was 0.662, 0.622, 0.683, 0.752 and 0.784, respectively. The model constructed by XGB showed the best comprehensive performance, and its accuracy, sensitivity and specificity was 0.771, 0.562 and 0.821, respectively. In the DCA of 5 machine learning models in the training set, XGB-based model provided a higher net benefit. Conclusions:Machine learning models based on enhanced CT radiomics in the vein phase have a high predictive efficacy in the outcome of NAC in LAGC patients before surgery and it helps make clinical personalized treatment decisions.

Objective:To assess the nutritional status and risk of children with cyclic vomiting syndrome（CVS）and to provide a clinical evidence for nutritional support.Methods:A total of 160 children diagnosed with CVS and 160 healthy controls were prospectively enrolled in the study，who were admitted to Beijing Tsinghua Changgung Hospital from April 2021 to February 2024.Nutritional status was assessed by anthropometric indices（height，weight，and body mass index），and it was expressed in standard deviation score（Z score）.Nutritional risk screening tool STRONGkids was applied to nutritional risk screening，and the laboratory assessment（albumin，pre-albumin，hemoglobin，urea nitrogen and creatinine）were measured.Results:Among the 160 cases，there were 73 males and 87 females，including 18 cases of mild seizures and 142 cases of moderate and severe seizures，with the average onset age of（47.54±2.96）months and an average diagnosis age of（74.89±3.68）months.The average duration from the first attack to diagnosis was（27.35±2.36）months，and the average course of the disease was（41.35±2.63）months.The malnutrition rate of children in CVS was 36.9%（59/160），of which 18.1%（29/160）was severely malnourished.There was a statistically significant difference in the weight-for-age Z-score（WAZ），height-for-age Z-score（HAZ），and body mass index-for-age Z-score（BAZ）between the CVS group and the control group（ P<0.001）.We found a statistically significant difference in laboratory indicators（albumin，pre-albumin，hemoglobin，urea nitrogen and creatinine）between the two groups（all P<0.001）and hemoglobin was positively correlated with WAZ，HAZ and BAZ（ r=0.346,0.250,0.277，all P<0.01）.Using the STRONGkids nutritional risk screening tool，there were 43 cases with moderate nutritional risk and 117 cases with high nutritional risk，and children with high nutritional risk were likely to have lower WAZ，HAZ and BAZ than the children with moderate nutritional risk，and there was a significant difference in WAZ，HAZ，BAZ，hemoglobin，and creatinine between the two groups（ P<0.05）.And there was a correlation between the degree of CVS attack and nutritional risk grouping（ r=0.543， P<0.001）. Conclusion:Children with CVS have a high incidence of malnutrition，and the serum albumin，prealbumin，hemoglobin，urea nitrogen and creatinine levels are of great value for nutritional assessment.The STRONGkids score method helps to evaluate nutritional risk in children with CVS.