128 research outputs found
Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"
Remote sensing images often suffer from cloud cover. Cloud removal is
required in many applications of remote sensing images. Multitemporal-based
methods are popular and effective to cope with thick clouds. This paper
contributes to a summarization and experimental comparation of the existing
multitemporal-based methods. Furthermore, we propose a spatiotemporal-fusion
with poisson-adjustment method to fuse multi-sensor and multi-temporal images
for cloud removal. The experimental results show that the proposed method has
potential to address the problem of accuracy reduction of cloud removal in
multi-temporal images with significant changes.Comment: This is a correction version of the accepted IGARSS 2017 conference
pape
Effects of medical consortium policy on health services: an interrupted time-series analysis in Sanming, China
ObjectivesChina has implemented reforms to enhance the operational efficiency of three-level medical services through medical consortiums (MCs). This study evaluated the impact of MCs reform on health services in Sanming, China.MethodsAn interrupted time-series analysis (ITSA) was conducted to assess the impact of MCs on changes in health service levels and trends across the overall situation of MCs and different institutional types within MCs, including county hospitals and grassroots medical institutions. The evaluation focused on various indicators such as outpatient and emergency visits, inpatients, average length of stay, occupancy rate of hospital beds, and hospital bed turnover times. Monthly data were collected from April 2015 to June 2019 through reports on the Sanming Municipal Health Commission website and the Sanming public hospital management monitoring platform.ResultsAfter the intervention of MCs reform, a significant increase was observed in the total number of inpatients (β3 = 174.28, p < 0.05). However, no statistically significant change was observed in the total number of outpatient and emergency visits (β3 = 155.82, p = 0.91). Additionally, the implementation of MCs reform led to an amplification in service volumes provided by county hospitals, with significant increases in the number of outpatient and emergency visits (β3 = 1376.54, p < 0.05) and an upward trend in the number of inpatients (β3 = 98.87, p < 0.01). However, no significant changes were observed under the MCs policy for grassroots medical institutions regarding the number of outpatient and emergency visits (β3 = −1220.72, p = 0.22) and number of inpatients (β3 = 75.42, p = 0.09).ConclusionThe Sanming MCs reform has achieved some progress in augmenting service volumes. Nevertheless, it has not led to an increase in service volumes at the grassroots medical institutions. There persists an insufficiency in the efficiency of services and a need for further improvement in primary healthcare. To address these concerns, it is imperative for county hospitals to offer targeted assistance that can enhance motivation among grassroots medical institutions. Besides the MCs should explore initiatives, including improved management of medical equipment, allocation of funding, and personnel resources
On Homoclinic Solutions of a Semilinear -Laplacian Difference Equation with Periodic Coefficients
We study the existence of homoclinic solutions for semilinear -Laplacian difference equations with periodic coefficients. The proof of the main result is based on Brezis-Nirenberg's Mountain Pass Theorem. Several examples and remarks are givenA. Cabada partially supported by Ministerio de Educacion y Ciencia, Spain, project MTM2007-61724S
Household Catastrophic Medical Expenses in Eastern China: Determinants and Policy Implications
Background: Much of research on household catastrophic medical expenses in China has focused on less developed areas and little is known about this problem in more developed areas. This study aimed to analyse the incidence and determinants of catastrophic medical expenses in eastern China.
Methods: Data were obtained from a health care utilization and expense survey of 11,577 households conducted in eastern China in 2008. The incidence of household catastrophic medical expenses was calculated using the method introduced by the World Health Organization. A multi-level logistic regression model was used to identify the determinants.
Results: The incidence of household catastrophic medical expenses in eastern China ranged from 9.24% to 24.79%. Incidence of household catastrophic medical expenses was lower if the head of household had a higher level of education, labor insurance coverage, while the incidence was higher if they lived in rural areas, had a family member with chronic diseases, had a child younger than 5 years old, had a person at home who was at least 65 years old, and had a household member who was hospitalized. Moreover, the impact of the economic level on catastrophic medical expenses was non-linear. The poorest group had a lower incidence than that of the second lowest income group and the group with the highest income had a higher incidence than that of the second highest income group. In addition, region was a significant determinant.
Conclusions: Reducing the incidence of household catastrophic medical expenses should be one of the priorities of health policy. It can be achieved by improving residents’ health status to reduce avoidable health services such as hospitalization. It is also important to design more targeted health insurance in order to increase financial support for such vulnerable groups as the poor, chronically ill, children, and senior populations
Concurrent administration of amiodarone and atenolol in the treatment of coronary artery disease complicated with arrhythmia, and its effect on serum levels of CD40L, TNF-α and IL-6
Purpose: To investigate the efficacy of the combination of amiodarone and atenolol in the treatment of patients with coronary artery disease (CAD) complicated with arrhythmia, and its effect on serum levels of CD-40L, TNF-α and IL-6.Methods: One hundred and twenty CAD patients with arrhythmia on admission in The First People'sHospital of Shuangliu District Chengdu, China were assigned to groups A and B, each having 60 patients. Amiodarone was administered to all the patients, while atenolol was additionally given to patients in group A. Levels of heart function indicators, inflammatory factors, blood pressure, heart rate, adverse reaction rate (ARR) and overall efficacy were evaluated for the two groups.Results: There were significantly improved levels of heart function indicators, and lower levels of CD40L, TNF-α and IL-6 in group A, when compared with group B (p < 0.001). Moreover, treatment effectiveness was higher in group A than in group B (p < 0.05). However, there was no significant difference (p > 0.05) in ARR between groups A and B.Conclusion: The combined use of amiodarone and atenolol improves heart function indicators in patients with CAD and arrhythmia, reduces the levels of inflammatory factors, normalizes blood pressure and heart rate, and lowers ARR. However, further clinical trials on this combined therapy are required prior to its use in clinical practice
Quality of Life of Adults with Chronic Spinal Cord Injury in Mainland China: A Cross-Sectional Study
Objective: To evaluate the quality of life of patients with chronic spinal cord injury in mainland China.
Design: Cross-sectional study. Subjects: A total of 247 adults ≥ 1 year post-SCI in mainland China.
Methods: The World Health Organization (WHO) Quality of Life Scale Brief Version (WHOQOL-BREF) and the add-on modules on disability-related QoL (WHOQOL-DIS) were used to assess quality of life. Anxiety/depression was measured using the Zung Self-Rating Anxiety/Depression Scale. Quality of life was compared with that of reference populations from China, Korea, the international field trial (23 countries). Multivariate linear regression was conducted to determine the factors that might be associated with quality of life.
Results: The means of the 4 domains of the WHOQOLBREF varied from 11.5 to 13.0. The mean of the 12- item WHOQOL-DIS module was 38.7. The quality of life of the participants as measured by the WHOQOLBREF was 1.1--4.7 points lower than that of the global reference population, while quality of life as measured by the WHOQOL-DIS module was 1.2 points lower than that of the Korean data. Anxiety and depression were negative factors associated with quality of life (p \u3c 0.05). Better community integration was a positive factor for physical quality of life and quality of life as measured by the WHOQOL-DIS module (p \u3c0.01).
Conclusion: The quality of life of adults with chronic spinal cord injury in mainland China was lower compared with reference populations. Duration of spinal cord injury, sex, community integration, anxiety, and depression were related to quality of life
EcomGPT: Instruction-tuning Large Language Model with Chain-of-Task Tasks for E-commerce
Recently, instruction-following Large Language Models (LLMs) , represented by
ChatGPT, have exhibited exceptional performance in general Natural Language
Processing (NLP) tasks. However, the unique characteristics of E-commerce data
pose significant challenges to general LLMs. An LLM tailored specifically for
E-commerce scenarios, possessing robust cross-dataset/task generalization
capabilities, is a pressing necessity. To solve this issue, in this work, we
proposed the first e-commerce instruction dataset EcomInstruct, with a total of
2.5 million instruction data. EcomInstruct scales up the data size and task
diversity by constructing atomic tasks with E-commerce basic data types, such
as product information, user reviews. Atomic tasks are defined as intermediate
tasks implicitly involved in solving a final task, which we also call
Chain-of-Task tasks. We developed EcomGPT with different parameter scales by
training the backbone model BLOOMZ with the EcomInstruct. Benefiting from the
fundamental semantic understanding capabilities acquired from the Chain-of-Task
tasks, EcomGPT exhibits excellent zero-shot generalization capabilities.
Extensive experiments and human evaluations demonstrate that EcomGPT
outperforms ChatGPT in term of cross-dataset/task generalization on E-commerce
tasks.Comment: Initial version of EcomGP
- …