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Pest and disease damage to forests cannot be underestimated, so it is essential to detect diseased trees in time and take measures to stop their spread. The detection of discoloration standing trees is one of the important means to effectively control the spread of pests and diseases. In the visible wavelength range, early infected trees do not show significant color changes, which poses a challenge for early detection and is only suitable for monitoring middle and late discolor trees. The spectral resolution of hyperspectral restricts the improvement of its spatial resolution, and there are phenomena of different spectral of the same and foreign objects in the same spectrum, which affect the detection results. In this paper, the method of hyperspectral and CCD image fusion is used to achieve high-precision detection of discoloration standing trees. This paper proposes an improved algorithm MSGF-GLP, which uses multi-scale detail boosting and MTF filter to refine high-resolution data. By combining guided filtering with hyperspectral images, the spatial detail difference is enhanced, and the injection gain is interpolated into the difference of each band, so as to obtain high-resolution and high-quality hyperspectral images. This research is based on hyperspectral and CCD data obtained from LiCHy, Chinese Academy of Forestry, Maoershan Experimental Forest Farm, Shangzhi City, Heilongjiang Province. The evaluation framework is used to compare with the other five fusion algorithms to verify the good effect of the proposed method, which can effectively preserve the canopy spectrum and improve the spatial details. The fusion results of forestry remote sensing data were analyzed using the vegetation Normalized Difference Water Index and Plant Senescence Reflectance Index. The fused results can be used to distinguish the difference between discoloration trees and healthy trees by the multispectral vegetation index. The research results can provide good technical support for the practical application of forest remote sensing data fusion, and lay the foundation for promoting the scientific, automatic and intelligent forestry control. [ABSTRACT FROM AUTHOR]

Background The rapid spread of multidrug-resistant tuberculosis (MDR-TB) has attracted global concerns. This study aimed to identify factors contributing to the high prevalence of MDR-TB in China's Heilongjiang province. Methods A cross-sectional survey following the WHO/International Union Against Tuberculosis and Lung Disease guidelines was conducted with consecutive recruitment of patients with TB in 30 counties selected at random in Heilongjiang in 2004. A total of 1995 patients were tested for MDR-TB. Factors associated with MDR-TB were identified through multilevel models and traditional logistic regression analysis, along with in-depth interviews with nine patients, five healthcare managers and four doctors. Results 241 patients (12%) were identified with MDRTB. The retreatment patients were 5.48 times (95% CI 4.04 to 7.44) more likely to have MDR-TB than newly diagnosed patients. The patients who were treated with isoniazid and rifampin for >180 days were 4.82 times (95% CI 2.97 to 7.81) more likely to develop MDR-TB than those treated <180 days. Age and delay in initiating TB treatment were associated with MDR-TB. Financial burden, poor knowledge and side effects of TB treatment were perceived by the interviewees as influencing factors. Lack of coordination of services, unsatisfactory supervision of treatment and infection control jeopardised the control of MDR-TB. Conclusions Inappropriate treatment is the most important influencing factor of MDR-TB. Increasing people's awareness of TB, early detection and appropriate treatment of patients with TB should become a priority, which requires strong commitment and collaboration among health organisations and greater compliance with TB treatment guidelines by service providers and patients. INSET: Key messages. [ABSTRACT FROM AUTHOR]

Objectives: The aim of the present study was to estimate the prevalence of severe psychological distress in Chinese adolescents, and to identify the demographic and psychosocial factors associated with psychological distress in this population. Method: A multi-stage stratified sampling procedure was used to select a sample of adolescents (n = 3109) in Heilongjiang Province (Northeast of China), who were aged 13-18 years old. Psychological distress was measured by the Kessler Psychological Distress Scale (K10). A K10 score between 22 and 30 was defined as moderate psychological distress; a score of ≥ 31 was defined as severe psychological distress in this study. Results: The rates of moderate and severe psychological distress were 27.9% and 12.2%, respectively in the participants. There were no statistical differences in severe psychological distress by gender. Multivariate analysis showed that family environmental variables, schooling variables, self-perception with life and appearance, perceived health and negative life events were significantly associated with psychological distress. Conclusion: Severe psychological distress is prevalent in the Chinese adolescent population. Family dysfunction, higher academic pressure, poor relationship with others and negative self-perception are important risk factors associated with psychological distress in adolescents. More studies using the K10 scale are needed so that national and international comparisons can be made. [ABSTRACT FROM AUTHOR]