Clinical observation of gastrointestinal function recovery in patients after hepatobiliary surgery

BACKGROUND

The liver is an important metabolic and digestive organ in the human body, capable of producing bile, clotting factors, and vitamins.

AIM

To investigate the recovery of gastrointestinal function in patients after hepatobiliary surgery and identify effective rehabilitation measures.

METHODS

A total of 200 patients who underwent hepatobiliary surgery in our hospital in 2022 were selected as the study subjects. They were divided into a control group and a study group based on the extent of the surgery, with 100 patients in each group. The control group received routine treatment, while the study group received targeted interventions, including early enteral nutrition support, drinking water before gas discharge, and large bowel enema, to promote postoperative gastrointestinal function recovery. The recovery of gastrointestinal function was compared between the two groups.

RESULTS

Compared with the control group, patients in the study group had better recovery of bowel sounds and less accumulation of fluids in the liver bed and gallbladder fossa (P < 0.05). They also had shorter time to gas discharge and first meal (P < 0.05), higher overall effective rate of gastrointestinal function recovery (P < 0.05), and lower incidence of postoperative complications (P < 0.05).

CONCLUSION

Targeted nursing interventions (early nutritional support, drinking water before gas discharge, and enema) can effectively promote gastrointestinal function recovery in patients undergoing hepatobiliary surgery and reduce the incidence of complications, which is worthy of promotion.

Multi-scale time-resolved electron diffraction: A case study in moiré materials

Ultrafast-optical-pump - structural-probe measurements, including ultrafast electron and x-ray scattering, provide direct experimental access to the fundamental timescales of atomic motion, and are thus foundational techniques for studying matter out of equilibrium. High-performance detectors are needed in scattering experiments to obtain maximum scientific value from every probe particle. We deploy a hybrid pixel array direct electron detector to perform ultrafast electron diffraction experiments on a WSe2/MoSe2 2D heterobilayer, resolving the weak features of diffuse scattering and moiré superlattice structure without saturating the zero order peak. Enabled by the detector's high frame rate, we show that a chopping technique provides diffraction difference images with signal-to-noise at the shot noise limit. Finally, we demonstrate that a fast detector frame rate coupled with a high repetition rate probe can provide continuous time resolution from femtoseconds to seconds, enabling us to perform a scanning ultrafast electron diffraction experiment that maps thermal transport in WSe2/MoSe2 and resolves distinct diffusion mechanisms in space and time.

[Progress in the clinical diagnosis and treatment of hepatic vascular diseases]

The liver has a very special dual blood supply, including the portal vein (65%~75%) and hepatic artery (25%~35%). The hepatic veins returns blood to the systemic circulation via the portal vein, and hepatic artery after hepatic sinusoidal confluence. The lesions on the hepatic vein and its branches can cause ischemia and hypoxia or obstruction of the drainage system, portal hypertension, upper gastrointestinal variceal bleeding, hepatic encephalopathy, and so on. Clinically, hepatic vascular diseases are relatively rare, so the diagnosis and treatment are relatively difficult. Herein, we review the diseases related to the hepatic vascular system.

[Correlation of health literacy and mobile phone use dependence with psychopathological symptoms in middle school students]

Objective: To explore the correlation of health literacy and mobile phone use dependence with psychopathological symptoms in middle school students. Methods: 22 628 middle school students in Shenyang, Bengbu, Xinxiang, Ulanqab, Chongqing and Yangjiang were enrolled by multistage cluster sampling method from November 2015 to January 2016. Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ), Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and Multidimensional Sub-health Questionnaire of Adolescents (MSQA) were applied to acquire basic characteristics, health literacy, mobile phone use dependence and psychopathological symptoms of subjects. Subjects were classified into three groups, low level (<P(25)), medium level (P(25)-P(75)) and high level (>P(75)), according to the percentile of the questionnaire score. Multivariate logistic regression model was used to analyze the correlation of health literacy, mobile phone with psychopathological symptoms. Results: The students were (15.4±1.8) years old with 10 990 boys (48.6%). The score of health literacy of students were (104.1±18.7) points. The rate of mobile phone use dependence was 25.4% (5 752/22 628) and the rate of psychopathological symptoms was 29.1% (6 581/22 628). Compared with high health literacy level, medium and low health literacy levels were related to psychopathological symptoms, with OR (95%CI) about 2.30 (2.10-2.52) and 5.40 (4.89-5.97), respectively. Compared with mobile phone use independence, mobile phone use dependence was related to psychopathological symptoms, with OR (95%CI) about 3.60(3.37-3.85). The highest rate of psychopathological symptoms occurred in students with mobile phone use dependence and low health literacy level [68.0% (1 345/1 977)], with OR (95%CI) about 19.59 (17.07-22.48). Conclusion: Health literacy and mobile phone use dependence are related factors of psychopathological symptoms in middle school students.

[Interactive effects between health literacy and mobile phone dependence as well as its relation with unintentional injuries in middle school students]

Objective: To investigate the interaction between health literacy, mobile phone dependence and unintentional injuries in middle school students, and to provide guidance for prevention on unintentional injuries in adolescents. Methods: From November 2015 to January 2016, a questionnaire survey was conducted among 22 628 middle school students in Shenyang of Liaoning province, Bengbu of Anhui province, Xinxiang of Henan province, Ulanqab of Inner Mongolia Autonomous Region, Chongqing and Yangjiang of Guangdong province. Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ), Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU), and Unintentional Injuries Assessment Scale and demographic variables were used to measure the health literacy, mobile phone dependence and unintentional injuries among the Chinese middle school students. Results: The detection rates of mobile phone dependence and unintentional injuries were 25.4% and 46.7%, respectively. The rates of unintentional injuries of middle school students with mobile phone dependence and with low, medium and high health literacy were 53.6%, 44.4% and 48.8%, 48.1%, 41.7%. Factors as mobile phone dependence, low and middle health literacy were positively related to unintentional injuries (OR=1.452, 1.196, 1.364). However, the multiplicative interaction between mobile phone dependence and health literacy on unintentional injuries was noticed significant (OR=1.217, 95%CI: 1.041-1.422). Conclusions: Our results showed that the prevalence of unintentional injuries was relatively high in middle school students. Health literacy and mobile phone dependence seemed related to unintentional injuries. Interaction between health literacy and mobile phone dependence on unintentional injuries appeared significant.

Support vector machines classification with a very large-scale taxonomy

Very large-scale classification taxonomies typically have hundreds of thousands of categories, deep hierarchies, and skewed category distribution over documents. However, it is still an open question whether the state-of-the-art technologies in automated text categorization can scale to (and perform well on) such large taxonomies. In this paper, we report the first evaluation of Support Vector Machines (SVMs) in web-page classification over the full taxonomy of the Yahoo! categories. Our accomplishments include: 1) a data analysis on the Yahoo! taxonomy; 2) the development of a scalable system for large-scale text categorization; 3) theoretical analysis and experimental evaluation of SVMs in hierarchical and non-hierarchical settings for classification; 4) an investigation of threshold tuning algorithms with respect to time complexity and their effect on the classification accuracy of SVMs. We found that, in terms of scalability, the hierarchical use of SVMs is efficient enough for very large-scale classification; however, in terms of effectiveness, the performance of SVMs over the Yahoo! Directory is still far from satisfactory, which indicates that more substantial investigation is needed.