Objective To understand the status quo of job embeddedness and turnover intention of hospital nurses,and to explore their correlation.Methods Using convenient sampling method,we selected 538 nursing workers from 8 tertiary hospi-tals in Guangzhou,and conducted an electronic questionnaire survey with job embeddedness Scale and Turnover Intention Scale.Results The total average score of job embeddedness was(3.41±1.26),and the total average score of turnover intention was(2.66±0.94).There was a negative correlation between job embeddedness and turnover intention(r =-0.060,P＞0.05).Conclusion The scores of job embeddedness and turnover intention of hospital nurses are at the middle level,and job embed-dedness is negatively correlated with the total average score of turnover intention.It is suggested that the management mode of hospital nurses should be standardized,the legitimate rights and interests of nurses should be guaranteed,the construction of pro-fessional certification system should be promoted,the nurses'positive job embeddedness should be promoted,the hospital nurs-ing staff should be stabilized,and the satisfaction of nursing service should be improved.

For most patients undergoing clear aligner treatment, it could be necessary to bond multiple attachments on their tooth surfaces. The clear aligner attachment is designed to enhance aligner retention, transmit orthodontic forces, and make the programmed tooth movement more predictable. Materials such as restorative resin, orthodontic bonding adhesive, flowable resin, and resin-modified glass ionomer cement are currently used for attachment bonding. But there is currently no conclusion as to which material suits most. The objective of this review is to look into the studies published in recent years, in order to explore the optimal material option for making clear aligner attachments.

Objective:To systematically evaluate the prevalence of malnutrition in elderly patients with diabetes.Methods:A total of eight databases, namely PubMed, Embase, Web of Science, The Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Database, Chinese Biomedical Literature Database (CBM), and VIP Database, were systematically searched for cross-sectional studies on malnutrition in elderly diabetic patients published from the inception of the databases to September 13, 2023. Two researchers independently conducted literature screening, data extraction, and quality assessment. Data analysis was performed using Stata 16.0 software.Results:A total of 22 studies were included, involving 6 349 elderly diabetic patients. Results of the meta-analysis showed that the overall prevalence of malnutrition in elderly patients with diabetes was 32.3% (95% CI: 0.21 to 0.43), and the prevalence of at-risk of malnutrition was 49.0% (95% CI: 0.31 to 0.67). Subgroup analysis showed that the prevalence of malnutrition in elderly diabetic patients with chronic complications (56.8%) was significantly higher than those without chronic complications (21.9%). Inpatients also showed a higher prevalence compared with outpatients and community (44.4%, 29.0%, and 18.5%, respectively). The prevalence of malnutrition as per mini-nutritional assessment scale was higher than that as per mini-nutritional assessment short-form scale (35.8% vs. 23.3%, P<0.05). There was no significant difference in the prevalence of malnutrition in elderly diabetic patients of different genders ( P>0.05). Conclusions:The prevalence of malnutrition and at-risk of malnutrition in elderly diabetic patients is high. In clinical practice, we should not only strengthen the early diagnosis of malnutrition in patients, but also emphasize the screening of malnutrition risk, implement timely corresponding interventions, and promote patient education on nutrition and health, to improve the prognosis and quality of life in elderly diabetes patients.

In orthodontic and orthognathic practice, cephalometric analysis is an integral tool throughout the clinical process. However, as landmark identification is still unautomated, both the conventional and semiautomated approaches are open to considerable subjectivity and could be time-consuming for inexperienced clinicians. Deep learning (DL), a state-of-the-art artificial intelligence (AI) technique, is highly effective in image recognition. In recent years, many studies have focused on the application of DL in cephalometric analysis, including automated landmark detection, automated diagnosis, cervical vertebral maturation stage determination, adenoid hypertrophy analysis and upper airway identification. Studies show that DL can effectively improve the efficiency of cephalometric analysis. In most studies, the accuracy of DL can reach more than 80%, and its difference from the gold standard is clinically acceptable, demonstrating good potential for future applications. However, most studies are limited to landmark detection, and the broadness and richness of the training dataset are limited. Future studies should broaden the research scope, improve the algorithm, elevate the richness of the datasets, and combine DL with other AI algorithms to improve its accuracy, stability and generalizability.

This paper reported a case of neonatal radial nerve palsy that was successfully treated by conservative therapy. The patient with 39 weeks of gestational age was born vaginally. On the 2nd day after birth, right wrist drop, decreased muscle strength in the right upper limb, the erythema patch, and the subcutaneous nodule on the upper arm were observed. Electromyography revealed acute denervation of the radial nerve. Based on the electromyography results combined with clinical evaluations, neonatal radial nerve palsy was diagnosed. The patient was treated with self-made simple splint fixation along with comprehensive treatment. At 15 days of age, the family members removed the splint fixation themselves (13 days of fixation). At the age of 20 days, the symptoms of right wrist drop had disappeared, and the grasp reflex and Moro reflex of both hands returned to normal. A follow-up electromyography conducted at six months after discharge showed no obvious abnormalities.

With the deepening of research in oral microbiomics, an important relationship between changes in the oral microbiome and orthodontic treatment has been found. Orthodontic treatment will have an impact on the oral and systemic microbiome. The presence of oral appliances can change the quantity and quality of the oral microbiometo and increase the risk of oral and even systemic diseases in patients undergoing orthodontic treatment. Compared with fixed orthodontic treatment, clear aligners will not have a harmful impact on the structure of the oral microbiome, which is more conducive to maintain oral health during the orthodontic treatment process. In addition, different bracket types and materials can lead to different changes in the oral microbiome, and the occurrence and development of orthodontic-related diseases, such as white spot lesions, dental caries, gingivitis and periodontitis, are also related to changes in the oral microbiome. At present, the role of the oral microbiome in the process of orthodontic treatment needs to be further studied. Whether a change in the oral microbiome caused by orthodontic treatment can be restored after orthodontic treatment is still uncertain and needs more research. This paper reviews the research progress on the application of microbiomics in orthodontics, including the impact of fixed appliances and clear aligners on the microbiome and the relationship between orthodontic-related diseases and the oral microbiome.

The eye-computer interaction technology based on electro-oculogram provides the users with a convenient way to control the device, which has great social significance. However, the eye-computer interaction is often disturbed by the involuntary eye movements, resulting in misjudgment, affecting the users' experience, and even causing danger in severe cases. Therefore, this paper starts from the basic concepts and principles of eye-computer interaction, sorts out the current mainstream classification methods of voluntary/involuntary eye movement, and analyzes the characteristics of each technology. The performance analysis is carried out in combination with specific application scenarios, and the problems to be solved are further summarized, which are expected to provide research references for researchers in related fields.
Computers ; Electrooculography/methods* ; Eye Movements ; Movement

Objective To seperate fetal nucleated red blood cells (fNRBCs) from the whole maternal peripheral blood effectively by designing a circular channel microfluidic chip. Methods A microfluidic chip is designed by utilizing the margination in blood flow and the specific adhesion characteristics of immuno-agent anti-CD147. With the whole umbilical cord blood, the effects of different shear forces on the enrichment of fNRBCs was studied by immunofluorescence counting. Results Increasing shear rate in microfluidic chip could improve the number of captured fNRBCs compared with the static adhesion. With the increase of shear rate of blood flow, the number of the captured cells increased at first, and then decreased. Conclusions The use of microfluid chip can effectively seperate fNRBCs from the whole blood. The results provide an experimental reference for the non-invasive prenatal diagnosis research and the exploration on the mechanism of fetal cell migration.

The prevention and treatment of scars has always been an important task in the field of wound repair.Humans have started treatment for scars long time ago and have created a series of treatments.At the same time,with the development of science and technology,the diagnosis and treatment of scars have made great progress.Through the basic research for new therapeutic targets and innovative of treatment methods,treatment for scar turns more diversified and integrated.As a result,clinicians will suffer many challenges while having more options for scars treatment.Combined with traditional treatment,developing new treatments,and the comprehensive therapy of multiple treatment methods is the mainstream trend of scar treatment.

OBJECTIVESince 1986, the reference of birth weight for gestational age has not been updated. The aim of this study was to set up Chinese neonatal network to investigate the current situation of birth weight in China, especially preterm birth weight, to develop the new reference for birth weight for gestational age and birth weight curve.

METHODA nationwide neonatology network was established in China. This survey was carried out in 63 hospitals of 23 provinces, municipalities and autonomous regions. We continuously collected the information of live births in participating hospitals during the study period of 2011-2014. Data describing birth weight and gestational age were collected prospectively. Newborn's birth weight was measured by electronic scale within 2 hours after birth when baby was undressed. The evaluation of gestational age was based on the combination of mother's last menstrual period, ultrasound in first trimester and gestational age estimation by gestational age scoring system.

STATISTICAL ANALYSISthe growth curve was drawn by using LMSP method, which was conducted in GAMLSS 1.9-4 software package in R software 2.11.1.

RESULTA total of 159 334 newborn infants were enrolled in this study. There were 84 447 male and 74 907 female. The mean birth weight was (3 232 ± 555) g, the mean birth weight of male newborn was (3 271 ± 576) g, the mean weight of female newborn was (3 188 ± 528) g. The test of the variables' distribution suggested that the distribution of gestational age and birth weight did not fit the normal distribution, the optimal distribution for them was BCT distribution. The Q-Q plot test and worm plot test suggested that this curve fitted the distribution optimally. The male and female neonatal birth weight curve was developed using the same method.

CONCLUSIONUsing GAMLSS method to establish nationwide neonatal birth weight curve, and the first time to update the birth weight reference in recent 28 years.