Detailed Microscopic Reaction Mechanism during the Combustion Process of HAN-Based Propellant.

Hydroxylamine nitrate (HAN)-based propellants, renowned for their high energy efficiency and nontoxic properties, are considered candidates for next-generation green propellants. The molecular dynamics (AIMD) method was used to theoretically study the thermal decomposition reaction process of the HAN aqueous solution and the system mixed by HAN and fuel methanol/ethylammonium nitrate. The principal reaction pathways of HAN-based propellants are delineated by scrutinizing AIMD trajectory results.

Investigation on the combustion mechanism for NF/H in DF/HF chemical lasers: a new perspective based on deep potential molecular dynamics simulations.

Combustion-driven deuterium fluoride/hydrogen fluoride (DF/HF) lasers are a crucial type of chemical lasers. Their chemical efficiency mainly depends on the production efficiency of atomic fluorine in the combustion chamber, where NF serves as the fluorine resource, and H acts as the reducing agent. However, due to the complex combustion process, high reaction temperatures, and potent corrosiveness of the products, the combustion mechanism of NF/H in the combustion chamber is still not fully revealed, including the chemical details of F atom generation.

The role of obesity in mortality from digestive diseases in UK Biobank.

Most current studies use body mass index (BMI) or waist circumference (WC) to define obesity, and BMI, which reflects subcutaneous fat independent of visceral fat, is the most commonly used indicator of obesity. WC reflects subcutaneous and visceral fat. This research aims to investigate the effect of obesity on mortality in people with digestive diseases.

Association of low muscle mass with cognitive function and mortality in USA seniors: results from NHANES 1999-2002.

Background: Sarcopenia and cognitive impairment have been linked in prior research, and both are linked to an increased risk of mortality in the general population. Muscle mass is a key factor in the diagnosis of sarcopenia. The relationship between low muscle mass and cognitive function in the aged population, and their combined impact on the risk of death in older adults, is currently unknown.

Advances and key focus areas in gastric cancer immunotherapy: A comprehensive scientometric and clinical trial review (1999-2023).

Background: Gastric cancer (GC) is the sixth most common cancer and third leading cause of cancer-related deaths worldwide. Current treatments mainly rely on surgery- and chemotherapy-based systemic; however, the prognosis remains poor for advanced disease. Recent studies have suggested that immunotherapy has significant potential in cancer therapy; thus, GC immunotherapy may improve quality of life and survival for patients with this disease.

How does financial decentralization synergies carbon reduction and pollution control in China?

This study looks at how carbon reduction, pollution management, and monetary decentralization in China all work together for a win-win situation. Since China is the most significant contributor to global warming, the country must implement policies to cut carbon emissions and curb pollution. One possible answer is financial decentralization, delegating federal financial responsibilities, and decisions to state and regional governments.

Design of online formative assessment of nursing humanities curriculum during the COVID-19 pandemic: A teaching practice research.

Background: Under the digital transformation trend nursing education, online formative assessment (OFA) provides a new opportunity. However, the OFA of nursing humanities course lacks design and practice, and faces the challenge of enhancing effective communication between teachers and students, student participation and autonomous learning.

Objectives: To enhance the reliability of OFA in nursing humanities courses and provide practical experience for online teaching in the nursing profession.

Reflection on the teaching of student-centred formative assessment in medical curricula: an investigation from the perspective of medical students.

Background: Formative assessment (FA) is becoming increasingly common in higher education, although the teaching practice of student-centred FA in medical curricula is still very limited. In addition, there is a lack of theoretical and pedagogical practice studies observing FA from medical students' perspectives. The aim of this study is to explore and understand ways to improve student-centred FA, and to provide a practical framework for the future construction of an FA index system in medical curricula.

Immunotherapy in cervical cancer: From the view of scientometric analysis and clinical trials.

Background: Cervical cancer is the fourth most cancer and the fourth leading cause of cancer-related deaths in women worldwide. Current treatment for patients with advanced cervical cancer is limited. And in the urgent demand for novel effective therapies both as the first and the second line treatment for these patients, immunotherapy is developing fast and has made some achievements.

Research on outpatient capacity planning combining lean thinking and integer linear programming.

Background: The size and cost of outpatient capacity directly affect the operational efficiency of a whole hospital. Many scholars have faced the study of outpatient capacity planning from an operations management perspective.

Objective: The outpatient service is refined, and the quantity allocation problem of each type of outpatient service is modeled as an integer linear programming problem.

A study of factors impacting disease based on the Charlson Comorbidity Index in UK Biobank.

Objective: With advances in medical diagnosis, more people are diagnosed with more than one disease. The damage caused by different diseases varies, so relying solely on the number of diseases to represent multimorbidity is limited. The Charlson comorbidity index (CCI) is widely used to measure multimorbidity and has been validated in various studies.

Effectiveness of inactivated COVID-19 vaccines against mild disease, pneumonia, and severe disease among persons infected with SARS-CoV-2 Omicron variant: real-world study in Jilin Province, China.

It is critical to determine the real-world performance of vaccines against coronavirus disease 2019 (COVID-19) so that appropriate treatments and policies can be implemented. There was a rapid wave of infections by the Omicron variant in Jilin Province (China) during spring 2022. We examined the effectiveness of inactivated vaccines against Omicron using real-world data from this epidemic.

Analysis of Environmental and Social Significant Factors Affecting the Flow of Maternal Patients in Jilin, China.

Background: With the implementation of China's Two-child policy, the number of pregnant women has been increasing year by year in recent years. However, the pregnancy success rate of pregnant women is declining year by year, and it is almost necessary for all the elderly mothers to do pregnancy protection.

Objective: The purpose of this study is to analyze the social and environmental factors that affect the patient flow of pregnant women in Jilin area of China, and further utilize the favorable factors to avoid the negative effects of adverse factors, so as to improve the pregnancy success rate and eugenics level.

The prognostic significance of bromodomain protein 4 expression in solid tumor patients: A meta-analysis.

Background: Cancer is a leading cause of death worldwide. At present, several inhibitors of bromodomain protein 4 have shown promising anti-tumor responses in clinical trials. Numerous studies have reported the value of bromodomain protein 4 expression in predicting the prognosis of patients with cancers, but their conclusions remain controversial.

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review.

Background: With the accumulation of electronic health records and the development of artificial intelligence, patients with cancer urgently need new evidence of more personalized clinical and demographic characteristics and more sophisticated treatment and prevention strategies. However, no research has systematically analyzed the application and significance of artificial intelligence based on electronic health records in cancer care.

Objective: The aim of this study was to conduct a review to introduce the current state and limitations of artificial intelligence based on electronic health records of patients with cancer and to summarize the performance of artificial intelligence in mining electronic health records and its impact on cancer care.

Prediction of Obstetric Patient Flow and Horizontal Allocation of Medical Resources Based on Time Series Analysis.

Given the ever-changing flow of obstetric patients in the hospital, how the government and hospital management plan and allocate medical resources has become an important problem that needs to be urgently solved. In this study a prediction method for calculating the monthly and daily flow of patients based on time series is proposed to provide decision support for government and hospital management. The historical patient flow data from the Department of Obstetrics and Gynecology of the First Hospital of Jilin University, China, from January 1, 2018, to February 29, 2020, were used as the training set.

Research on obstetric ward planning combining lean thinking and mixed-integer programming.

Background: In recent years, there are many studies on scheduling methods of patient flow, nurse scheduling, bed allocation, operating room scheduling and other problems, but there is no report on the research methods of how to plan ward allocation from a more macroscopic perspective.

Objective: Refine and stratify the obstetric ward to provide more accurate medical service for pregnant women and improve the work efficiency of obstetricians and midwives. The problem of how to allocate the number of each type of ward is modeled as a mixed integer programming problem, which maximizes the patient flow of pregnant women in obstetric hospitals.

What makes clinical documents helpful and engaging? An empirical investigation of experience sharing in an online medical community.

Background: Social media have emerged as a platform for experience and knowledge sharing in the medical community. The online medical community is garnering increasing research attention; however, there is a lack of understanding of what factors influence the helpfulness and engagement of experience sharing in the community.

Methods: Clinical documents manifest physicians' experience and knowledge.

Silibinin inhibits migration and invasion of the rhabdoid tumor G401 cell line via inactivation of the PI3K/Akt signaling pathway.

Rhabdoid tumors, which tend to occur prior to the age of 2 years, are one of the most aggressive malignancies and have a poor prognosis due to the frequency of metastasis. Silibinin, a natural extract, has been approved as a potential tumor suppressor in various studies, however, whether or not it also exerts its antitumor capacity in rhabdoid tumors, particularly with regards to tumor migration and invasion, is unclear. The rhabdoid tumor G401 cell line was used in the present study.