OBJECTIVE To explore the efficacy and safety of different doses of bupivacaine liposome （referred to as “LB”） in posterior quadratus lumborum block （QLB） for postoperative analgesia in patients undergoing cesarean section （CS）. METHODS In prospective research method， a total of 168 patients undergoing CS admitted to Chongzhou Maternal and Child Health Hospital from June to December 2024 were randomly divided into LB1 group， LB2 group， and LB3 group （LB of 199， 133 and 67 mg， respectively） according to the random number sorting method， with 56 cases in each group. All patients underwent CS after combined spinal-epidural anesthesia， and received patient-controlled intravenous analgesia and bilateral posterior QLB with different doses of LB after the operation. Visual analogue scale score， Ramsay sedation score， the presence of postoperative block planes and muscle strength classification were observed in the three groups of patients at 6， 12， 24， 48 and 72 hours after the operation. The time of the first compression of the analgesic pump， the dosage of sufentanil and butorphanol within 72 hours after surgery， the number of compressions of the analgesic pump， the analgesic rescue rate， the time of initiating lactation， the score of neonatal behavioral neurological assessment （NBNA）， the time of postoperative exhaust， the indwelling time of urinary catheter， the length of hospital stay， and the total satisfaction at 72 hours after surgery were compared. The occurrence of adverse reactions within 72 hours after the operation was recorded. RESULTS The resting and motor pain scores， the dosage of sufentanil and butorphanol within 72 hours after surgery， the number of compressions of the analgesic pump， the analgesic rescue rate， and the time of initiating lactation at 6， 12， 24， 48 and 72 hours after surgery in the LB1 group and the LB2 group were significantly lower or shorter than those in the LB3 group（P＜0.05）. The proportion of postoperative block planes at 24， 48 and 72 hours after surgery， the time of the first compression of the analgesic pump and the total satisfaction in the LB1 group and the LB2 group were significantly higher or longer than those in the LB3 group（P＜0.05）. The proportion of patients with muscle strength≤grade 3 at 6 hours after surgery in the LB1 group was significantly higher than that in the LB2 and the LB3 groups （P＜0.05）. There were no statistically significant differences in the Ramsay sedation scores at each time point after surgery， NBNA scores， postoperative exhaust time， urinary catheter indwelling time， the length of hospital stay， as well as the occurrence of adverse reactions among the 3 groups （P＞0.05）. CONCLUSIONS Compared with 67 mg of LB， 199 mg and 133 mg of LB can improve the postoperative analgesic effect and total satisfaction of CS patients undergoing posterior QLB， reduce the use of postoperative analgesic drugs， and shorten the time to start lactation. Compared with 199 mg and 133 mg of LB， 67 mg of LB has a smaller impact on the motor function of CS patients. All three doses of LB had no significant effect on the neurobehavioral abilities of newborns, and demonstrated comparable sedative efficacy and safety.

Proteins with specific functions and characteristics play a crucial role in biomedicine and nanotechnology. De novo protein design enables the customization of sequences to produce proteins with desired structures that do not exist in the nature. In recent years, with the rapid development of artificial intelligence (AI), deep learning-based generative models have increasingly become powerful tools, enabling the design of functional proteins with atomic-level precision. This article provides an overview of the evolution of de novo protein design, with focus on the latest algorithmic models, and then analyzes existing challenges such as low design success rates, insufficient accuracy, and dependence on experimental validation. Furthermore, this article discusses the future trends in protein design, aiming to provide insights for researchers and practitioners in this field.
Artificial Intelligence ; Proteins/chemistry* ; Algorithms ; Protein Engineering/methods* ; Deep Learning

ObjectiveTo investigate effect of conducting training of autism spectrum disorder （ASD） early screening skill on improving the ability to early identify ASD of medical staffs in primary care hospitals. MethodsIn September 2021， the training of ASD early screening skills was carried out for medical staffs from 20 primary care hospitals in Chengdu. After training， the training effect was evaluated. The numbers of referrals from primary care hospitals to superior hospitals， confirmed ASD as well as their average diagnostic age of children with ASD before and after training were used as evaluation indicators. ResultsAfter training， the number of children with suspected ASD referred by primary care hospitals was more than that before training ［（16.65±11.60） vs. （3.40±2.23）， t=5.431， P<0.01］， the number of children diagnosed with ASD was more than that before training［（6.85±4.93） vs. （2.45±1.67）， t=4.171， P<0.01］， and the differences were statistically significant. As for the diagnosed age of ASD children， after training， the average age was lower than that before training ［（34.95±11.67） vs. （42.2±14.64）， t=-2.553， P=0.019］. ConclusionTraining of ASD early screening skills for medical staffs in primary care hospitals may help to improve their ability to early screening ASD children.

ObjectiveTo investigate the social support status and influencing factors of schizophrenics in remission in Northeast Sichuan， and to provide ideas for improving their social support. MethodsFrom May to September 2020， a total of 533 patients who met the diagnosis criteria of the International Classification of Diseases， tenth edition （ICD-10） for schizophrenics in remission at the mental health institutions in Guangyuan， Bazhong and Dazhou cities were selected for the survey， and patients were assessed by self-made demographic and clinical data inventory and Social Support Rating Scale （SSRS）. Then the social support status of schizophrenic in remission and influencing factors were analyzed， meantime， the impact of the second round reimbursement policy of medical insurance benefits on their social support was addressed particularly. Results①The SSRS total score， objective support， subjective support， and utilization of support scores of schizophrenics in remission were lower than those of the national norm （t=5.065~30.382， P<0.01）. ②Univariate analysis showed that SSRS score was relatively high among patients with female gender （t=-3.632）， retired status （F=5.951）， married status （F=5.951）， spouse as primary caregiver （F=23.841）， annual household income >5 000 yuan （F=15.892）， patient's economic income （t=4.083）， and outpatient or online follow-up （F=3.954）， with statistically significant differences （P<0.05 or 0.01）. ③The total and dimensional scores of SSRS in patients with access to the second round medical insurance reimbursement were significantly higher than those without （t=10.195~25.103， P<0.01）. ④Multiple linear regression analysis denoted that gender， work status， marital status， primary caregivers， annual family income， economic income， follow-up visits and the second round medical insurance reimbursement were the factors influencing social support status of schizophrenics in remission （β=0.201~2.115， P<0.05 or 0.01）. ConclusionThe social support of schizophrenics in remission in Northeast Sichuan is below the national average， furthermore， their social support levels are affected by the gender， work status， marital status， primary caregivers， annual family income， economic income， follow-up visits and the second round medical insurance reimbursement， and the second round medical insurance reimbursement may ameliorate the social support status of patients.