BackgroundChronic insomnia disorder has become a significant public health issue， and it may be associated with dyslipidemia. Previous studies on dyslipidemia in patients with chronic insomnia disorder have mainly focused on exploring the relationship between subjective short sleep duration and dyslipidemia， while there have been limited studies on the relationship between objective short sleep duration and dyslipidemia. ObjectiveTo explore the relationship between objective short sleep duration and dyslipidemia in patients with chronic insomnia disorder， in order to provide references for the prevention and intervention of dyslipidemia in this population. MethodsA total of 103 patients who were hospitalized at The Third Hospital of Mianyang from August 2022 to November 2023 and met the diagnostic criteria for chronic insomnia disorder as defined in the International Classification of Sleep Disorder， third edition （ICSD-3） were retrospectively collected. The objective sleep duration of the patients was obtained through polysomnography. The patients were divided into two groups based on their objective sleep duration： the group with objective sleep duration ≥ 7 hours （n=71） and the group with objective sleep duration < 7 hours （n=32）. Binary Logistic regression analysis was used to explore the impact of objective sleep duration < 7 hours on dyslipidemia. ResultsAmong 103 patients with chronic insomnia disorder， 59 cases （57.28%） were identified with dyslipidemia. The comparison of dyslipidemia conditions between the group with objective sleep duration ≥ 7 hours and the group with objective sleep duration < 7 hours showed a statistically significant difference （χ²=5.956， P<0.05）. Compared with the group with objective sleep duration ≥7 hours， the group with objective sleep duration < 7 hours exhibited significantly lower high-density lipoprotein cholesterol levels， and reduced sleep efficiency （t=-2.003， -5.482， P<0.05 or 0.01）. Binary Logistic regression analysis results showed that the risk of abnormal blood lipids in patients with chronic insomnia disorder with objective sleep duration < 7 hours was 3.128 times higher than that of patients with objective sleep duration ≥ 7 hours （OR=3.128， 95% CI： 1.139–8.588）. ConclusionObjective short sleep duration may be a risk factor for dyslipidemia in patients with chronic insomnia disorder.

Radiopharmaceuticals operate by combining radionuclides with carriers. The radiation energy emitted by radionuclides is utilized to selectively irradiate diseased tissues while minimizing damage to healthy tissues. In comparison to external beam radiation therapy, radionuclide drugs demonstrate research potential due to their biological targeting capabilities and reduced normal tissue toxicity. This article reviews the applications and research progress of radiopharmaceuticals in cancer treatment. Several key radionuclides are examined, including ²²³Ra, ⁹⁰Y, Lutetium-177 (¹⁷⁷Lu), ²¹²Pb, and Actinium-225 (²²⁵Ac). It also explores the current development trends of radiopharmaceuticals, encompassing the introduction of novel radionuclides, advancements in imaging technologies, integrated diagnosis and treatment approaches, and equipment-medication combinations. We review the progress in the development of new treatments, such as neutron capture therapy, proton therapy, and heavy ion therapy. Furthermore, we examine the challenges and breakthroughs associated with the clinical translation of radiopharmaceuticals and provide recommendations for the research and development of novel radionuclide drugs.
Humans ; Radiopharmaceuticals/therapeutic use* ; Neoplasms/radiotherapy* ; Radioisotopes/therapeutic use* ; Animals

BackgroundInternet addiction poses serious harm to the physical and mental health of college students. Insecure attachment is one of the key factors of internet addiction， while self-compassion and psychological resilience serve as crucial psychological factors closely related to it. However， the chain mediating role of self-compassion and psychological resilience between insecure attachment and college students' internet addiction remains unclear. ObjectiveTo explore the mediating role of self-compassion and psychological resilience in the relationship between insecure attachment and internet addiction in college students， so as to provide references for the prevention and intervention of internet addiction in this population. MethodsFrom November 2023 to February 2024， a total of 1 380 college students were recruited using a cluster sampling method from two universities in Sichuan Province. The assessment was conducted using the Chinese Internet Addiction Scale （CIAS）， the Self-Compassion Scale （SCS）， the Experiences in Close Relationships Scale （ECR）， and the Resilience Scale for Chinese Adolescents （RSCA）. Pearson correlation analysis was conducted to examine the correlations of the scores of each scale. Model 6 in Process 4.2 was used to test the mediating roles of self-compassion and psychological resilience in the relationship between insecure attachment and internet addiction among college students. ResultsA total of 1 232 （89.28%） college students completed the valid questionnaire survey. The ECR score was positively correlated with the CIAS score （r=0.299， P<0.01）， and SCS score was positively correlated with the RSCA score （r=0.299， P<0.01）. The ECR score was negatively correlated with both SCS score and RSCA score （r=-0.122、-0.147，P<0.01）； the SCS score was negatively correlated with both RSCA score and CIAS score （r=-0.238、-0.263， P<0.01）. Self-compassion and psychological resilience were the pathways between insecure attachment and internet addiction， with effect sizes of 0.015 （95% CI： 0.007–0.023） and 0.010 （95% CI： 0.004–0.017）， respectively. Self-compassion and psychological resilience played chain mediating role between insecure attachment and internet addiction， with effect sizes of 0.003 （95% CI： 0.001–0.006）. ConclusionInsecure attachment can directly affect internet addiction in college students， and it can also influence internet addiction through independent pathway of self-compassion and psychological resilience， as well as the chain mediating pathways involving both self-compassion and psychological resilience.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.

The structures and activities of enzymes are influenced by pH of the environment. Understanding and distinguishing the adaptation mechanisms of enzymes to extreme pH values is of great significance for elucidating the molecular mechanisms and promoting the industrial applications of enzymes. In this study, the ESM-2 protein language model was used to encode the secreted microbial proteins with the optimal performance above pH 9 and below pH 5, which yielded 47 725 high-pH protein sequences and 66 079 low-pH protein sequences, respectively. A deep learning model was constructed to identify protein acid-base tolerance based on amino acid sequences. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 94.8%, precision of 91.8%, and a recall rate of 93.4% on the test set. Furthermore, we built a website (https://enzymepred.biodesign.ac.cn), which enabled users to predict the acid-base tolerance by submitting the protein sequences of enzymes. This study has accelerated the application of enzymes in various fields, including biotechnology, pharmaceuticals, and chemicals. It provides a powerful tool for the rapid screening and optimization of industrial enzymes.
Deep Learning ; Hydrogen-Ion Concentration ; Amino Acid Sequence ; Enzymes/metabolism* ; Sequence Analysis, Protein ; Proteins/metabolism* ; Bacterial Proteins/metabolism*

【Objective】  To study the composition and function of tongue coating (TC) and gastrointestinal tract (GIT) microbiota in participants with yellow-greasy tongue coating (YGTC), and to explore the representative metabolite markers and pathways in this group. 【Methods】  Subjects with YGTC or thin-white tongue coating (TWTC) were recruited from December 1, 2021 to October 30, 2022, and the TC and fecal samples were collected. Samples were subjected to both whole-genome shotgun (WGS), and 16S rRNA gene sequencing. The α-diversity analysis, principal component analysis (PCA), and Spearman correlation analysis were performed for two groups. Ultra-performance liquid chromatography combined with tandem mass spectrometry (UPLC–MS/MS) analysis was used to analyze metabolomics and enrichment of metabolic pathways. 【Results】  The results revealed 20 YGTC participates and 19 TWTC participates. At the genus level, the dominant bacterial species of TC flora and intestinal flora in the two groups were roughly the same, but the relative kurtosis difference was marked, and the abundance of potentially pathogenic bacteria in TC and fecal samples of YGTC subjects was higher. There were 9 down-regulated microorganisms in the TC samples, 26 down-regulated microorganisms, and 6 up-regulated microorganisms in YGTC subjects. The α-diversity analysis indicated that the Chao and abundance-based coverage estimator (ACE) indices of TC bacteria in the YGTC subjects showed a decreasing trend, but the difference was not statistically significant (P > 0.05). The α-diversity of fecal samples and the Chao and ACE indices decreased significantly (P < 0.05). PCA showed that the microflora structure of TC and fecal samples were significantly different between the two groups. Spearman correlation analysis showed that there was no correlation between TC and fecal microorganisms at phyla and genus levels in the same subjects (P > 0.05). The metabolomics results demonstrated that fumarate reductase, V/A ATPase, and phosphatidylethanolamine were increased, and glycerate-3p, UDP-glucose, and quinone oxidoreductase metabolites were decreased in YGTC TC samples. Inosine monophosphate (IMP), uridine monophosphate (UMP), and gamma-aminobutyric acid(GABA) were increased in YGTC fecal samples, while the contents of ribo-5P, histidine, biotin,and cobalamin were decreased. Metabolic pathway analysis indicated that the abundance of the TC and fecal samples of the YGTC subjects was relatively low in various metabolic pathways, including amino acid metabolism, carbohydrate metabolism, nitrogen metabolism, and energy metabolism. 【Conclusion】  Structural and functional changes in TC and GIT microbiota or metabolite markers could be potential biological bases of YGTC formation.

Objective:To investigate the application effect of simulation teaching in basic nursing practical teaching for undergraduates.Methods:A total of 271 nursing undergraduate intern students in the classes of 2018 and 2019 were selected as subjects, among whom 135 students in the class of 2018 were established as control group and 136 students in the class of 2019 were established as experimental group. The students in the control group received conventional practical training, and those in the experimental group received simulation teaching. The two groups were compared in terms of test scores and self-efficacy scores after practical teaching, and a questionnaire survey was conducted to investigate the degree of satisfaction with practical teaching among students. SPSS 20.0 was used for the t-test and the chi-square test. Results:Compared with the control group, the experimental group had significantly higher average scores of theoretical examination (88.78±5.17 vs. 82.04±4.36, P<0.05) and practical examination (96.90±5.05 vs. 90.48±5.34, P<0.05), as well as a significantly higher self-efficacy score (29.80±3.83 vs. 28.76±2.75, P<0.05). The experimental group had a significantly higher degree of satisfaction with clinical teaching than the control group ( P<0.05). Conclusion:Simulation teaching can effectively increase the practical score of nursing students, enhance their sense of self-efficacy, and improve their satisfaction with clinical teaching.

Objective: To compare and investigate the physicochemical characteristics and antibacterial effect of ZnO nanofilms prepared by atomic layer deposition(ALD) at different deposition cycles. Methods: According to different ALD cycles, four groups were set up (control group, 300, 600 and 1 200 cycles group). Using DEZn and water as precursors, ZnO nanofilms were prepared by ALD on the surface of pure titanium specimens. Surface morphology of the films was observed by scanning electron microscope (SEM); the element composition and crystal type of the films were observed by energy dispersive spectrometer (EDS) and X-Ray Diffraction (XRD); the hydrophilicity and thickness of the films were detected by water contact angle detector and ellipsometer. The cytotoxicity of the films was evaluated by CCK-8 assay. The antibacterial effect against S. aureus in vitro of the films was evaluated by optical density method. Results: The surface morphology of the films was uniform and compact as shown through SEM. The grain size increased with the increase of the number of ALD cycles. EDS results showed that the films were mainly composed of Zn and O elements. XRD results confirmed that the composition of the films was ZnO. Results of water contact angle showed that the films were hydrophobic. The thickness of the films was nanoscale and there was a linear relationship between the thickness and ALD cycles. All experimental groups showed no cytotoxicity. The 1 200 cycles group showed the highest antibacterial rate of 65.9% and 52.3% at 24 and 48 hours respectively, which was the best among all experimental groups. Conclusion The ZnO nanofilms prepared by ALD at different cycles on pure titanium surface are uniform and compact. Thickness of the films increases with the increase of ALD cycles. The films have good biocompatibility and anti-S. aureus effect in vitro. The 1 200 cycles group has the best antibacterial effect.

Objective:To provide evidence for the selection of fixation devices and CTV to PTV margins (M ptv) in precision radiotherapy for pelvic tumors by analyzing three fixation devices in precision radiotherapy for prostate cancer. Methods:From April 2015 to December 2020, 133 prostate cancer patients treated with pelvic drainage area irradiation in our center were retrospectively analyzed. The patients were fixed with 1.2m vacuum bag (n=39), 1.8m vacuum bag (n=44) and personalized prone plate by our center (n=50). Each patient was asked to complete our bowel and bladder preparation process before positioning and radiotherapy. The registration of CBCT to planned CT before each treatment adopted the same registration box and algorithm. Setup errors in the SI, LR and AP directions under qualified bowel and bladder conditions were recorded. Setup errors in three directions under three fixation devices and corresponding M ptv values were analyzed. The correlation between setup errors with age and body mass index (BMI) was analyzed. Results:Analysis of 3333 setup errors data showed: in the SI and LR directions, the mean setup errors of 1.2m vacuum bag (3.26mm, 2.34mm) were greater than those of 1.8m vacuum bag (2.51mm, P<0.001; 1.90mm, P<0.001), and personalized prone plate (3.07mm, P=0.066; 2.10 mm, P=0.009). In the AP direction, the mean setup errors of 1.2m vacuum bag (supine)(2.20mm) were smaller than those of 1.8m vacuum bag (3.33mm, P<0.001) and personalized prone plate (3.61mm, P<0.001). The setup errors of 1.8m vacuum bag in all directions were smaller than those of personalized prone plate (P≤0.028). According to Van Herk's expansion formula, the M ptv of 1.2m vacuum bag in three directions was approximately 4 mm. The M ptv of 1.8m vacuum bag and personalized prone plate in the SI and LR directions was approximately 3 mm, and more than 5 mm in the AP direction. The setup errors were not correlated with age or BMI. Conclusions:From the setup errors results of three devices, 1.8m vacuum bag is the best, followed by personalized prone plate. And supine position is better than prone position in the AP direction.

Objective: To investigate the clinicopathological and radiological features of benign fibro-osseous lesion (BFOL). Methods: Sixty-five cases of craniofacial BFOL, eight cases of peripheral ossifying fibroma (POF) and one case of low-grade central osteosarcoma diagnosed at Sichuan Provincial People′s Hospital between January 2010 and March 2019 were collected. The clinicopathologic features, hematoxylin-eosin and immunohistochemical (IHC) staining and radiographic features were analyzed. MDM2 gene amplification was detected by FISH in difficult borderline cases. Results: This cohort of BFOLs included 50 cases of fibrous dysplasia (FD), 12 cases of ossifying fibroma (OF), and three cases of juvenile psammomatoid ossifying fibroma (JPOF). The average ages of patients with FD,OF and JPOF were 31.7, 39.2 and 26.0 years respectively. The male to female ratio was 1.0∶1.8.The average age of POF was 47.0 years, with male to female ratio of 1∶7. Patient of low-grade central osteosarcoma was a 48-year-old man. Twenty-seven cases of FD were located in the jaw, and 23 cases were in other craniofacial bones. Nine cases of OF were located in the jaw, and three cases were in the nasal cavity. Two cases of JPOF were in the nasal sinus, and one was in the jaw. All POF were located in the gingiva, and low-grade central osteosarcoma was located in the mandible. The imaging features of FD were luffa-like or ground-glass like signal shadows with poorly defined borders with expansion. OF had clear borders or sclerosing margins. Both JOF and low-grade central osteosarcoma were expansile intraosseously and with focally invasive nodular masses with ground-glass like signal shadows; and POF showed soft tissue mass with bone formation. Histological features of BFOLs showed mixed fibrous and irregular osteoid lesions. FD had no clear relationship with the host bone and no osteoblasts surrounded the bone trabeculae. Osteoblasts rimming was found in OF, and the boundaries of the host bone were clear. JPOF and low-grade central osteosarcoma infiltrated the host bone focally, and the latter showed mild cellular atypia. MDM2 amplification was detected in low-grade central osteosarcoma. Conclusions BFOLs are a group of fibro-osseous lesions with similar morphology in the head and neck and face, but their clinical features and prognosis are different; and their imaging and histological characteristics are also slightly different. Attentions should be given to the combination of clinical, imaging and pathologic features of BFOLs, especially the differential diagnosis between BFOLs and low-grade central osteosarcoma. Molecular detection could be used to assist the diagnosis in difficult cases.