BackgroundThe issue of school absenteeism due to school refusal in adolescents has become increasingly prominent. Acceptance and Commitment Therapy （ACT） has been applied successfully to improve depression， anxiety， and psychological flexibility in adolescents， while few studies have tested the effect of ACT intervention on above-mentioned psychological aspects and return-to-school rate in adolescents with school absenteeism. ObjectiveTo explore the effect of ACT on depression， anxiety， psychological flexibility and return-to-school rate in school absenteeism adolescents， and to provide a broader evidence base for clinical interventions. MethodsFrom May to June 2024， a sample of 50 adolescents with Shenzhen school registration who had been suspended from school for more than a consecutive month for school refusal were recruited based on Wechat official account platform. The adolescents were divided into study group and control group by random number table method. Both groups received psychological education with the theme of 'Causes and Coping Strategies of School Refusal'， and study group added a 6-week ACT intervention with weekly 1-hour sessions. At baseline and after treatment， Patients’ Health Questionnaire Depression Scale-9 item （PHQ-9）， Generalized Anxiety Disorder Scale-7 item （GAD-7） and Comprehensive assessment of Acceptance and Commitment Therapy processes （CompACT） were used for the clinical evaluation. ResultsA total of 45 （90.00%）adolescents completed the study， including 25 in study group and 20 in control group. Analysis revealed that study group scored higher on PHQ-9 and GAD-7， while lower on total CompACT score， openness dimension and awareness dimension compared with control group， with statistical significance （F=7.786， 10.334， 12.922， 14.374， 3.075， P<0.05 or 0.01）. After intervention， the rate of return-to-school was higher in study group than in control group （40.00% vs 10.00%， χ²=5.114， P<0.05）. ConclusionACT intervention for adolescents with school absenteeism may alleviate depression and anxiety， improve their psychological flexibility and increase return-to-school rate.［Funded by the "14^th Five Year Plan" for Social Sciences Project in Jiangxi Province （number， 24JY41D）； Science and Technology Planning Project of Shenzhen Municipality （number， 20210617155253001）］

Objective:To study the clinical characteristics and risk factors of necrotizing enterocolitis (NEC) in one of the premature twins.Methods:A retrospective study was conducted on twin premature infants who were admitted to the Department of Neonatology at the Third Affiliated Hospital of Zhengzhou University from January 2017 to December 2022 and only one got NEC. The twins were divided into NEC group and control group, the clinical data were collected and analyzed by SPSS 26.0 statistical software.Results:This study enrolled 109 pairs of premature twins, 109 cases in the NEC group, and 109 cases in the control group. Univariate analysis showed that birth weight, pre NEC white blood cell count were lower in NEC group than those in the control group, while the proportion of smaller than gestational age (SGA), donor of twin-to-twin transfusion syndrome, feeding intolerance, incomplete enteral feeding, start feeding time >48 h, red blood cell transfusion 72 h before NEC onset and the neutrophils ratio were higher in the NEC group than that of the control group, the difference was statistically significant ( P<0.05). Multivariate logistic analysis showed that low birth weight ( OR=1.558, 95% CI1.197-2.142), SGA ( OR=1.721, 95% CI 1.217-2.536), feeding intolerance ( OR=3.798, 95% CI 1.347-10.706), and incomplete enteral feeding ( OR=4.319, 95% CI 1.673-11.149) were independent risk factors for NEC ( P<0.05). Conclusions:Low birth weight, small for gestational age, feeding intolerance, and incomplete enteral feeding are independent risk factors for NEC in one of the premature twins.

Background/Aims: Roxadustat, an oral medication for treating renal anemia, is a hypoxia-inducible factor prolyl hydroxylase inhibitor used for regulating iron metabolism and promoting erythropoiesis. To investigate the efficacy and safety of roxadustat in patients undergoing peritoneal dialysis (PD) with erythropoietin hyporesponsiveness. Methods: Single-center, retrospective study, 81 PD patients (with erythropoietin hyporesponsiveness) were divided into the roxadustat group (n = 61) and erythropoiesis-stimulating agents (ESAs) group (n = 20). Hemoglobin (Hb), total cholesterol, intact parathyroid hormone (iPTH), brain natriuretic peptide (BNP), related indicators of cardiac function and high-sensitivity C-reactive protein (hs-CRP) were collected. Additionally, adverse events were also recorded. The follow-up period was 16 weeks. Results: The two groups exhibited similar baseline demographic and clinical characteristics. At baseline, the roxadustat group had a mean Hb level of 89.8 ± 18.9 g/L, while the ESAs group had a mean Hb level of 95.2 ± 16.0 g/L. By week 16, the Hb levels had increased to 118 ± 19.8 g/L (p < 0.05) in the roxadustat group and 101 ± 19.3 g/L (p > 0.05) in the ESAs group. The efficacy of roxadustat in improving anemia was not influenced by baseline levels of hs-CRP and iPTH. Cholesterol was decreased in the roxadustat group without statin use. An increase in left ventricular ejection fraction and stabilization of BNP were observed in the roxadustat group. Conclusions For PD patients with erythropoietin hyporesponsiveness, roxadustat can significantly improve renal anemia. The efficacy of roxadustat in improving renal anemia was not affected by baseline levels of hs-CRP0 and iPTH.

OBJECTIVE: Hypertrophic scars (HS) are a variety of skin tissue fibrosis disease that occurs in human skin, the effective therapeutic method of which is still inaccessible up to now. As a bioactive constituent of a well-known medical plant, Salvia miltiorrhiza (Danshen in Chinese), tanshinone II_A (TSA) is reported to inhibit cell proliferation in HS. Therefore, the aim of this study was to prepare TSA self-soluble microneedles to strengthen its dermal retention and break through the difficulty of significantly thickening epidermal connective tissue and stratum corneum at the HS site. The possible mechanism of action in suppressing HS was studied using human skin fibroblasts (HSF). METHODS: Tanshinone II_A self-dissolving microneedles (TSA-MN) was prepared using a negative mold casting method. The prescription process of microneedle was optimized by Box-Behnken effect surface method. Different media were selected to investigate the ability of transdermal absorption and in vitro release. Furthermore, according to Cell Counting Kit-8 (CCK8) method as well as the Western blot method, the effect of TSA-MN on the biological characteristics of HSF was investigated. RESULTS: With remarkable slow release effect and dermal retention, the release and transdermal properties of TSA-MN in vitro were better than both TSA and ordinary dosage forms. Its effect of HSF confirmed the essential decrease in cell motility during cell proliferation and cell migration in vitro, which plays a significant role in down-regulating the secretion of transforming growth factor-β₁ (TGF-β₁) in HSF and increasing the expression level of Smad7. CONCLUSION The prepared TSA self-soluble microneedles is helpful in solving the problem of hypertrophic scars, with a stable dermal retention effect after process optimization.

The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI). This paper proposed a research approach for building an MCI diagnostic model using a Bayesian-optimized bidirectional long short-term memory network (BO-BiLSTM) to address this problem. The diagnostic model was based on a Bayesian algorithm and combined prior distribution and posterior probability results to optimize the BO-BiLSTM network hyperparameters. It also used multiple feature quantities that fully reflected the cognitive state of the MCI brain, such as power spectral density, fuzzy entropy, and multifractal spectrum, as the input of the diagnostic model to achieve automatic MCI diagnosis. The results showed that the feature-fused Bayesian-optimized BiLSTM network model achieved an MCI diagnostic accuracy of 98.64% and effectively completed the diagnostic assessment of MCI. In conclusion, based on this optimization, the long short-term neural network model has achieved automatic diagnostic assessment of MCI, providing a new diagnostic model for intelligent diagnosis of MCI.
Humans ; Bayes Theorem ; Neural Networks, Computer ; Algorithms ; Brain ; Cognitive Dysfunction/diagnosis*

The electroencephalogram (EEG) signal is a general reflection of the neurophysiological activity of the brain, which has the advantages of being safe, efficient, real-time and dynamic. With the development and advancement of machine learning research, automatic diagnosis of Alzheimer's diseases based on deep learning is becoming a research hotspot. Started from feedforward neural networks, this paper compared and analysed the structural properties of neural network models such as recurrent neural networks, convolutional neural networks and deep belief networks and their performance in the diagnosis of Alzheimer's disease. It also discussed the possible challenges and research trends of this research in the future, expecting to provide a valuable reference for the clinical application of neural networks in the EEG diagnosis of Alzheimer's disease.
Humans ; Alzheimer Disease/diagnosis* ; Neural Networks, Computer ; Machine Learning ; Brain ; Electroencephalography

Diffusion tensor imaging technology can provide information on the white matter of the brain, which can be used to explore changes in brain tissue structure, but it lacks the specific description of the microstructure information of brain tissue. The neurite orientation dispersion and density imaging make up for its shortcomings. But in order to accurately estimate the brain microstructure, a large number of diffusion gradients are needed, and the calculation is complex and time-consuming through maximum likelihood fitting. Therefore, this paper proposes a kind of microstructure parameters estimation method based on the proximal gradient network, which further avoids the classic fitting paradigm. The method can accurately estimate the parameters while reducing the number of diffusion gradients, and achieve the purpose of imaging quality better than the neurite orientation dispersion and density imaging model and accelerated microstructure imaging via convex optimization model.
Brain/diagnostic imaging* ; Diffusion Magnetic Resonance Imaging ; Diffusion Tensor Imaging ; Neurites ; White Matter

OBJECTIVE: To explore the mediating effect of mental health on job burnout and aggressive driving behavior in bus drivers. METHODS: A total of 447 bus drivers was selected as study subjects using a convenience sampling method. The status of job burnout, mental health and aggressive driving behaviors were investigated using the Maslach Burnout Inventory-Human Services Survey, Symptom Check List 90, and the Aggressive Driving Questionnaire. RESULTS: The score of aggressive driving behaviors of bus drivers were positively correlated with emotional exhaustion, depersonalization, personal accomplishment dimension score and mental health total score[Spearman correlation coefficient(r_S)=0.23, 0.27, 0.15, 0.34, all P<0.01]. The mental health total score was positively correlated with emotional exhaustion and depersonalization dimensions scores(r_S=0.46, 0.47, all P<0.01), and not correlated with personal accomplishment dimension score(r_S=-0.04, P>0.05). Emotional exhaustion can affect aggressive driving behaviors through mental health, and the standardized mediating value was 0.16, accounting for 72.7% of the total effect. Depersonalization can influence aggressive driving behaviors through mental health, and the standardized mediating value was 0.17, accounting for 70.8% of the total effect. CONCLUSION: Mental health plays a mediating role in emotional exhaustion, depersonalization and aggressive driving behavior of bus drivers.

Objective:To explore the clinical application value of sound touch elastography (STE) in the evaluation of the curative effect of acupuncture and moxibustion in the treatment of stroke patients with upper limb spasm.Methods:Fifty-five patients with upper limb spasm after stroke were selected as stroke group, and thirty healthy volunteers matched with age, gender and body mass index (BMI) were selected as control group between September 2020 and March 2021. The shear wave velocity (SWV) of biceps brachii and triceps brachii were measured in both groups. In stroke group, the SWVs of biceps brachii and triceps brachii on spastic side and non-spastic side were measured before and after acupuncture treatment, and the correlations between SWV and spastic grade (X), muscle response angle (R1), passive range of motion (R2), spastic angle (R2-R1) of modified Tardieu scale (MTS) were analyzed.Results:At 0 degree, the SWV of spastic biceps brachii (3.85±0.62)m/s was significantly higher than those of the non-spastic side [(3.34±0.35)m/s] and control group [(3.15±2.66)m/s] (all P<0.001), and decreased [ (3.45±0.47)m/s] after acupuncture treatment ( P<0.001). At 90 degree, the SWV of non-spastic biceps brachii was larger than those of spastic side and control group [1.98(1.92, 2.14)m/s vs 1.98(1.92, 2.11) m/s, 1.95(1.86, 2.05)m/s, all P<0.05], and there was no significant difference between the SWV of spastic side and control group ( P>0.05). There were no significant differences in SWV of triceps brachii between the spastic side and control group at both 0 degree or 90 degree ( P>0.05). At 0 degree, SWV positively correlated with MTS (x) ( rs=0.639, P<0.001) and negatively with R1 ( rs=-0.527, P<0.001) and R2 ( rs=-0.825, P<0.001) on the spastic biceps brachii. Conclusions:STE can provide quantitative index for the objective evaluation of the curative effect of acupuncture in upper limb spasm after stroke, and it is proposed to be an effective means of clinical diagnosis and efficacy evaluation in patients with upper limb spasm after stroke.

Objective:To develop a Risk Assessment Index System (RAIS) on HIV infection among young students based on Delphi method and to provide individual HIV infection risk assessment, targeted prevention and control measures.Methods:Delphi method was applied to determine the index system and weight of the assessment tool through three rounds of expert consultation and overall consideration of opinions and suggestions from 19 experts.Results:The positivity coefficients of three rounds of expert consultation were 100%. The authority coefficient of experts was between 0.887 and 0.945. The Kendall's W coefficients through first, second and third round specialist consultation was 0.379, 0.329 and 0.248, respectively (all P<0.001). The coefficients of variation in the third round were all less than 0.25, indicating that experts' opinion tend to be consistent and the results are highly reliable. The HIV infection risk assessment index system among young students consisted of 7 first grade indices and 54 second grade indices, of which weight was calculated. Conclusions:The RAIS on HIV infection for young students was initially established based on Delphi method, and could be used in the development of HIV infection risk assessment tools for personalized prevention and intervention among young students. However, the reliability, validity and effect of this assessment index system need to be further evaluated.