Objective: To analyze the improvement of executive function in children with attention deficit hyperactivity disorder (ADHD) aged 7-14 years with comprehensive intervention and drug therapy alone, to provide a basis for intervention research to improve ADHD. Methods: A total of 80 children with ADHD treated in the Third People s Hospital of Ganzhou from January 2021 to June 2022 were randomly divided into intervention group and control group. The intervention group received drug and comprehensive intervention therapy, and sensory integration training once a week for 60 to 90 min each for 12 weeks, and conduct related training for caregivers and school teachers, the control group received only drug therapy. The changes of executive function were assessed by the stroop color word association test and the Wisconsin Card Sorting Test (WCST) after 12 weeks of intervention. Results: After intervention, the results of the Stroop color word test in the intervention group (3.25±0.98, 4.92±1.40, 10.17±1.28) showed statistically significant differences ( t=12.94, 15.36, 26.34 , P <0.01) compared with those before intervention (6.47±1.92, 8.35±1.25, 16.55±1.57). There were also statistically significant differences ( t=6.76, 15.01, 16.15, P <0.01) in the control group ( 3.95 ±1.01, 5.45±1.15, 12.35±0.86) compared to those before intervention (6.17±1.87, 8.10±1.03, 16.02±1.38). Before intervention, the number of perseverative errors, non perseverative errors, and completed categories by WCST in the intervention group were (47.77±4.50, 35.50±2.37, 3.97±1.07), and in the control group were (46.45±7.34, 34.87±2.29, 3.70±1.11). After intervention, those of the intervention group and control group were (31.42±2.01, 24.75±2.05, 5.05±1.13) and (32.82±2.57, 25.55±1.04, 4.25±1.48), respectively. There were significant differences in the two groups before and after intervention ( t =21.93, 22.27 , -10.37; 10.84, 26.81, -6.90, P <0.01). After intervention, there were significant differences in the number of Stroop color word test errors, perseverative errors and non perseverative errors in WCST between the two groups ( t=-2.94, 2.29, -9.07, -2.35 , -2.06, P <0.05). Conclusion Through training for children and the therapy model of comprehensive intervention could significantly improve the executive function of children for a certain extent.

Objective:To build a hospital bed resource allocation model, for the reference of public hospitals in optimizing their bed resource allocation.Methods:Based on ReLU activation function, a hospital bed resource allocation model was constructed by combining DRG and public hospital performance appraisal requirements, including discharge person times, average length of stay, hospital bed utilization rate, proportion of surgery, proportion of fourth level surgery, case mix index, average bed day income and other indicators. When the existing number of hospital beds available was greater than the number of hospital beds allocated for the first time, a secondary allocation should be made. A tertiary general hospital was taken as an example for a model analysis.Results:As found in the model analysis, among the 2 729 beds of the hospital in the first allocation, 110 beds were left available for secondary allocation. The results of bed allocation of 40 inpatient departments in the hospital were as follows: 15 departments need more beds, 3 departments need more beds and shorter length of stay, 2 departments need no change, 1 department needs shorter length of stay, 4 departments need less beds, and 15 departments need less beds and shorter length of stay.Conclusions:The bed resource allocation model enriches the connotation of indicators, reflects the specialty characteristics. These indicators can be flexibly adjusted in combination with hospital development planning and budget management, hence conducive to refined management of hospital bed resources in public hospitals.

Objective: To understand the trends in malnutrition among primary and middle school students of Han nationality in Hainan Province from 2005 to 2019, so as to provide a basis for improving nutrition intervention measures for children and adolescents. Methods: A sample of 32 949 Han nationality primary and middle school students aged 7-18 years old in Hainan Province were investigated in 2005, 2010, 2014 and 2019 based on national survey on student physical fitness and health. The Malnutrition Screening Standard of Schoolage Children and Adolescents was used to screen malnutrition. Statistical analysis was performed using the χ2 test and the χ2trend test. Results: In the four surveys conducted during 2005 to 2019, the prevalence of malnutrition among primary and middle school students were 22.12%, 18.80%, 15.89% and 9.56%, respectively, with an increase of -12.56% and an average annual increase of -5.82%. The decreasing trend of malnutrition by year was statistically significant (χ2trend=600.72, P<0.01), and the proportion of emaciation type was the highest (8.87%-20.15%). The detection rates of malnutrition among all students aged 7 to 18 showed a decreasing trend from 2005 to 2019 (χ2trend=56.44, 60.04, 61.48, 42.49, 51.81, 50.81, 72.86, 101.34, 86.38, 24.81, 17.72, 10.38, P<0.01). From 2005 to 2019, the detection rates of malnutrition in boys were higher than that of girls (in 4 surveys), and that in rural students from 2005 to 2014 of 3 surveys were higher than that in towns (χ2=92.07, 35.16, 25.29, 29.98; 64.35, 4.26, 6.32, P<0.05). Conclusions The malnutrition of Han nationality primary and middle school students aged 7-18 years in Hainan Province show a trend of improvement year by year from 2005 to 2019, despite the overall high detection rate. Wasting is the most common type of malnutrition. The epidemic of malnutrition varies by age, sex and areas. Further targeted measures should be taken to strengthen intervention in the diet of primary and middle school students, to improve the nutritional status of children and adolescents.

The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
Female ; Fetus ; Humans ; Pregnancy ; Pregnant Women