Objective To explore the effect of nimodipine combined with minimally invasive puncture on neurological function,hemodynamics,and serum inflammatory factor levels in patients with hypertensive intracerebral hemorrhage(HICH).Methods A total of 108 patients with HICH treated at the Second Affiliated Hospital of Hebei North University from June 2019 to May 2022 were selected as the research subjects.They were divided into an observation group(n=55)and a control group(n=53)according to the treatment method.All patients in the two groups received minimally invasive puncture;on this basis,the patients in the observation group were treated with nimodipine for one month.The neurological deficit of patients in the two groups was evaluated by the National Institute of Health Stroke Scale(NIHSS)score before and after treatment.Before and after treatment,5 mL of fasting venous blood was taken from patients in the morning,and the serum was obtained by centrifugation.The serum levels of brain-derived neurotrophic factor(BDNF),neuron-specific enolase(NSE),C-reactive protein(CRP),tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)were detected by enzyme-linked immunosorbent assay.Ultrasonic transcranial Doppler blood flow analyzer was used to monitor the hemodynamic indexes such as mean blood flow velocity(Vm),resistance index(RI)and pulsitility index(PI)of patients in the two groups before and after treatment.The adverse reactions such as headache,dizziness,infection and rebleeding were recorded in the two groups after treatment.Results There was no statistically significant difference in the NIHSS score and serum NSE and BDNF levels between the two groups before treatment(P＞0.05).After treatment,the NIHSS score and serum NSE level of patients in the two groups were significantly lower than those before treatment,while the serum BDNF level was significantly higher than that before treatment(P＜0.05).After treatment,the NIHSS score and serum NSE level of patients in the observation group were significantly lower than those in the control group,while the serum BDNF level was significantly higher than that in the control group(P＜0.05).There was no statistically significant difference in the Vm,PI and RI between the two groups before treatment(P＞0.05).After treatment,the Vm and PI of patients in the two groups were significantly higher than those before treatment,while the RI was significantly lower than that before treatment(P＜0.05).After treatment,the Vm and PI of patients in the observa-tion group were significantly higher than those in the control group,while the RI was significantly lower than that in the control group(P＜0.05).There was no statistically significant difference in serum TNF-α,IL-6,and CRP levels between the two groups before treatment(P＞0.05).The levels of serum TNF-α,IL-6,and CRP of patients in the two groups after treatment were significantly lower than those before treatment(P＜0.05).After treatment,serum TNF-α,IL-6,and CRP levels of patients in the observation group were significantly lower than those in the control group(P＜0.05).The incidence of adverse reactions in patients in the control group and observation group was 7.55％(4/53)and 9.09％(5/55),respectively,and the difference in the incidence of adverse reactions between the two groups was not statistically significant(P＞0.05).Conclusion Nimodipine combined with minimally invasive puncture can effectively improve the blood perfusion rate of HICH patients,reduce the degree of inflammatory response,and alleviate the patients'neurological function damage.

Prostate cancer is the most common cancer among men and the fifth leading cause of cancer-related death among men worldwide. Gastrin-releasing peptide receptor (GRPR) is an important complementary target of prostate specific membrane antigen (PSMA) and a key target for prostate cancer diagnosis and treatment. Radionuclide labeled bombesin (BBN) analogues can accurately target overexpressed GRPR in tumor cells, thus providing early diagnosis and treatment of prostate cancer. In this review, we focus on the studies of 99Tc m, 111In, 68Ga, 64Cu, 18F, and 177Lu nuclide-labeled BBN analogues for diagnosis and peptide receptor radionuclide therapy.

Purpose: The globalization of food has increased consumer demand for imported food products. China is attracting attention as one of the major overseas consumer markets for Korean ramen. Nevertheless, further understanding of consumer needs is required to adapt to local market conditions and sustain sales growth. This study addressed this gap by investigating the intrinsic and extrinsic food attributes and local consumer characteristics using a hybrid approach of structural equation modeling and artificial neural network analysis to influence loyalty to Korean ramen. Methods: Two hundred Chinese consumers who participated in the survey had experience in consuming Korean ramen. Data were collected through paper questionnaires. A causality validation model was constructed to screen for factors with an impact on loyalty. The importance of attributes is then further discussed using artificial neural network models. Results: A causality validation model was constructed using structural equations to confirm the significant effects of intrinsic attributes (e.g., noodles), extrinsic attributes (e.g., packaging), food involvement, and income on loyalty. Using these factors as inputs, further analysis through an artificial neural network model showed that food involvement as an intrinsic consumer characteristic was the most critical factor in predicting loyalty to Korean ramen, followed by packaging, noodles, and income. Conclusion These findings revealed the important roles of product attributes and consumer characteristics in predicting loyalty. Therefore, increased attention to food-involved consumer segments, selection of appropriate packaging formats, and meeting consumer product sensory needs and their demand for variety may be more conducive to promoting loyalty to imported foods.

Purpose: The globalization of food has increased consumer demand for imported food products. China is attracting attention as one of the major overseas consumer markets for Korean ramen. Nevertheless, further understanding of consumer needs is required to adapt to local market conditions and sustain sales growth. This study addressed this gap by investigating the intrinsic and extrinsic food attributes and local consumer characteristics using a hybrid approach of structural equation modeling and artificial neural network analysis to influence loyalty to Korean ramen. Methods: Two hundred Chinese consumers who participated in the survey had experience in consuming Korean ramen. Data were collected through paper questionnaires. A causality validation model was constructed to screen for factors with an impact on loyalty. The importance of attributes is then further discussed using artificial neural network models. Results: A causality validation model was constructed using structural equations to confirm the significant effects of intrinsic attributes (e.g., noodles), extrinsic attributes (e.g., packaging), food involvement, and income on loyalty. Using these factors as inputs, further analysis through an artificial neural network model showed that food involvement as an intrinsic consumer characteristic was the most critical factor in predicting loyalty to Korean ramen, followed by packaging, noodles, and income. Conclusion These findings revealed the important roles of product attributes and consumer characteristics in predicting loyalty. Therefore, increased attention to food-involved consumer segments, selection of appropriate packaging formats, and meeting consumer product sensory needs and their demand for variety may be more conducive to promoting loyalty to imported foods.

Purpose: The globalization of food has increased consumer demand for imported food products. China is attracting attention as one of the major overseas consumer markets for Korean ramen. Nevertheless, further understanding of consumer needs is required to adapt to local market conditions and sustain sales growth. This study addressed this gap by investigating the intrinsic and extrinsic food attributes and local consumer characteristics using a hybrid approach of structural equation modeling and artificial neural network analysis to influence loyalty to Korean ramen. Methods: Two hundred Chinese consumers who participated in the survey had experience in consuming Korean ramen. Data were collected through paper questionnaires. A causality validation model was constructed to screen for factors with an impact on loyalty. The importance of attributes is then further discussed using artificial neural network models. Results: A causality validation model was constructed using structural equations to confirm the significant effects of intrinsic attributes (e.g., noodles), extrinsic attributes (e.g., packaging), food involvement, and income on loyalty. Using these factors as inputs, further analysis through an artificial neural network model showed that food involvement as an intrinsic consumer characteristic was the most critical factor in predicting loyalty to Korean ramen, followed by packaging, noodles, and income. Conclusion These findings revealed the important roles of product attributes and consumer characteristics in predicting loyalty. Therefore, increased attention to food-involved consumer segments, selection of appropriate packaging formats, and meeting consumer product sensory needs and their demand for variety may be more conducive to promoting loyalty to imported foods.

Objectives: Online grocery shopping has gained traction with the digital transformation of retail. This study constructs a behavioral model combining values, attitudes, and reasons for behavior—specifically, facilitators and resistance—to provide a more novel discussion and further understand the relative influences of the various factors affecting continuance intention in online grocery shopping. Methods: Data were collected through an online questionnaire from consumers who had engaged in online grocery shopping during the past month in Seoul, Korea. All collected data were analyzed using descriptive analysis, and model validation was performed using partial least squares structural equation modeling. Results: Continuance intention is primarily driven by facilitative factors (compatibility, relative advantage, and ubiquity). Attitude can also positively influence continuance intention. Although resistance factors (price, tradition, and risk) do not significantly affect continuance intention, they negatively affect attitude. Values significantly influence consumers’ reasoning processes but not their attitude. Conclusions These findings explain the key influences on consumers’ online grocery shopping behavior in Seoul and provide additional discussion and literature on consumer behavior and market management. To expand the online grocery market, consumers should be made aware of the potential benefits of the online channel; the barriers they encounter should be reduced. This will help sustain online grocery shopping behavior. Furthermore, its positive impact on attitude will further strengthen consumers’ continuance intention.

Objective:To analyze the temporal and spatial trends of maternal mortality in China, and to predict the future situation of maternal mortality.Methods:Taking the national maternal mortality rate in 1991-2018 and the maternal mortality rate in 2009-2018 in various provinces and cities of China as the research objects, using the statistical description analysis method to analyze the changes of time and space of maternal mortality, and using ARIMA time series model to predict the future situation of maternal mortality in China, rural areas and cities.Results:Regarding to the spatial and temporal distribution of maternal mortality, the maternal mortality rate in China generally showed a certain decline trend. In 1991, the maternal mortality rate was 80.0/100 000, and in 2018, China′s maternal mortality rate was 18.3/100 000, 77.1% lower than that in 1991, with an average annual growth rate of-5.3%; In 2009, Tibet′s maternal mortality rate was the highest, 232.2/100 000, and Jiangsu′s maternal mortality rate was the lowest, 5.2/100 000, with a difference of 44.7times After nine years of development, Tibet is still the province with the highest maternal mortality rate in China, which is 56.5/100 000, while Shanghai has the lowest maternal mortality rate, which is 1.4/100 000, with a difference of 40.4times. In 1991, the rural and urban maternal mortality rates were 46.3/100, 000 and 100.0/100, 000, respectively, and the urban-rural mortality rate was 1∶2.16. By 2022, the urban-rural mortality rate in China was 1∶0.95. Regarding the prediction of maternal mortality for the future, the national maternal mortality rate in 2022 is 10.1/100 000, the urban maternal mortality rate is 16.0/100 000, and the rural maternal mortality rate is 15.0/100 000.Conclusion:The maternal mortality rate in China has been greatly reduced, and the gap between urban and rural areas has decreased from 53.7/100 000 in 1991 to 0.7/100 000 in 2022, showing a downward trend. However, from the model prediction results, there is a slight rebound in the urban maternal mortality rate, while the rural maternal mortality rate remains stable, which suggests that the government and the health administration should pay more attention to the growing trend of urban maternal mortality while taking reasonable measures to reduce the rural maternal mortality rate, so as to avoid the rebound of urban maternal mortality rate.

A large size tertiary comprehensive hospital designed the performance reform program not only based on RBRVS and DRGs but also combined with cost control and medical quality and safety. The hospital have implemented performance reform at 2016, with achieving the public welfare and fairness by "combination" and exploring a set of performance management methods which suit the hospital's actual condition and boost its development.

In this study, retrospective multi-center study on medical records of Uyghur medicine diagnosis and treatment program of osteoporosis was done and demographic, diagnostic, therapeutic, efficacy evaluation and nursing data and other information were collected. The main and secondary disease manifestations of osteoporosis were analyzed inductively. Osteoporosis was divided into 2 types in Uyghur medicine field, which were abnormal Savda type and abnormal Balgham type. Uighur medicine syndrome type standards of osteoporosis were established. Treatment efficacy was evaluated according to bone pain, bone density, life quality, and improvement of clinical symptoms and Uyghur medical symptoms. On this basis, in accordance with the technical requirements of the national drug review, the study developed clinical research guidelines for the treatment of osteoporosis with new Uyghur medicine (draft).

In this article, retrospective multi-center study on medical records of Uyghur Medicine diagnosis and treatment program of acne vulgaris was done and demographic, diagnostic, therapeutic, efficacy evaluation and nursing data and other information were collated and analyzed. The main and secondary disease manifestations of acne vulgaris were analyzed inductively and acne vulgaris was divided into 3 types in Uyghur Medicine field, which are blood-type acne vulgaris, yellow bile-type acne vulgaris, and astringent mucus-type acne vulgaris. Uyghur Medicine syndrome type standards of acne vulgaris were established. At the same time, through evaluating skin integrity and morphology of lesions as well as changes in patients’ symptoms and quality of life and observing changes in patients’ internal environment respectively before and after treatment, disease and syndrome clinical criteria of acne vulgaris were established. On this basis, in accordance with the technical requirements of the national medicine review, this study developed clinical research guidelines for the treatment of acne vulgaris with new Uyghur Medicine.