Photoactivated chromophore-corneal cross-linking accelerates corneal healing in fungal keratitis: an updated meta-analysis.

AIM: To determine the effectiveness and safety of photoactivated chromophore-corneal cross-linking (PACK-CXL) adjuvant in infectious keratitis by April 5, 2022. METHODS: We searched randomized controlled trials (RCTs) comparing standard antibiotic treatment (SAT) plus PACK-CXL to SAT in infectious keratitis in Embase, MEDLINE with PubMed, Web of Science, and Cochrane Library. We independently screened and extracted data using predesigned tables. Cochrane's risk-of-bias tool was utilized to examine the quality of RCTs. A random-effects model was employed to determine the overall effect size of the meta-analyses. Grading of Recommendations, and Assessment, Development and Evaluations (GRADE) was also performed to examine the quality of evidence. RESULTS: Seven eligible RCTs with 283 patients were acquired. Adjuvant PACK-CXL reduced the time needed to perform corneal healing in fungal keratitis (- 1.33 months; 95% CI, - 1.83 to - 0.42, I2 = 0%, P < 0.05) as compared to SAT alone. The risks of adverse events were not significantly different both in fungal and bacterial keratitis. Due to the substantial heterogeneity among studies, such as population, the type and severity of infectious keratitis, drug regimens of SAT, PACK-CXL protocol, and the judgment of subjective outcomes, the evidence grade was low. CONCLUSION: Adjuvant PACK-CXL accelerates fungal keratitis healing as compared to SAT alone. But more rigorous RCTs are required to determine the clinical effectiveness and safety.

Surgical treatment of severe anterior capsular organized hard core cataract: A case report.

BACKGROUND: Complicated cataract surgery is challenging, especially in cases of hard nuclear cataract with severe anterior capsule organization. It is important to avoid the risk of surgery and improve the surgical skills of surgeons. CASE SUMMARY: A 60-year-old man presented with severe cataract and visual impairment. The anterior capsule of the lens was irregularly organized and pulled to the surrounding capsule, and white porcelain organized cord and brown-black lens nucleus were clearly visible. In phacoemulsification, maintaining the anterior capsule round and intact plays a key role in a successful surgery. In this case, if the conventional capsule treatment method was used, the anterior capsule would be torn. Therefore, we adopted a segmented anterior capsule treatment method, and a blasting method to release energy when dealing with the lens nucleus, and achieved good surgical results. CONCLUSION: Complicated cataract surgery is challenging and requires precise skills. Operation plans should be made reasonably to predict the risk of surgery, and improve the visual quality of the patients.

Efficacy and safety of anterior capsule polishing in cataract patients: a meta-analysis.

OBJECTIVE: This research summarizes and analyzes the effects of polishing of the anterior capsule (PAC) on visual function, maintenance of effective lens position (ELP), and postoperative complications in various studies, so as to determine whether PAC can be used to improve the surgical outcome of cataracts. METHODS: The literature related to PAC published before June 2022 was searched in PubMed, Web of Science, EMBASE, Cochrane, Google, Wanfang, Weipu and CNKI databases. Changes in visual function [uncorrected visual acuity (UCVA) and spherical equivalent refraction (SER)], effective lens position (ELP), and postoperative complications [anterior capsular opacification (ACO) and posterior capsular opacification (PCO)] in the PAC intervention group were summarized and analyzed, and the standardized mean difference (SMD) or odds ratio (OR) with 95% CI was calculated by Review Manager 5.3. RESULTS: By screening the literature, this meta-analysis finally included 10 studies with 2,639 eyes. The UCVA of patients was significantly improved in the PAC intervention group, while the root mean square of ELP (ELPRMS) level and ACO incidence decreased. In addition, PAC did not obviously reduce the incidence of PCO after cataract surgery. CONCLUSION: PAC can effectively maintain the axial stability of the implanted lens and reduce the possibility of developing ACO, thus improving patients' visual function, which can effectively improve both the efficacy and safety of cataract surgery.

Skeletal Network Enabling New-Generation Thermoplastic Vulcanizates.

Upcycling of cross-linked rubbers is pressing. The introduction of dynamic covalent bonds into the networks is a popular tactic for recycling thermosetting polymers, but it is very challenging to integrate engineering performance and continuous yet stable reprocessability. Based on traditional rubber formulations, herein, a straightforward strategy is presented for constructing a skeletal network (SN) through interfacial crosslinking and percolation of rubbery granules in a rubber matrix. Rapid exchange reactions involving dynamic interfacial sulfides realize repeated "fragmentation and healing" in the solid-state and consequent reconfiguration of the SN topology of the elastomer, thus endowing the resultant SN elastomer with continuous yet stable re-extrudability. These SN elastomers with hierarchical structures exhibit high gel contents, high resilience, low creep, and reinforcibility competitive to traditional vulcanizates. Specifically, SN elastomers exhibit better overall performance than commercial thermoplastic vulcanizates (TPVs) materials. Overall, a new concept of thermoplastic vulcanizates is proposed, which will promote the sustainable development of rubbers.

Risk of dry eye in headache patients: a systematic review and meta-analysis.

OBJECTIVES: The objective of this meta-analysis was to identify whether headache increase the risk of dry eye disease (DED). METHODS: PubMed, Web of Science, Cochrane Library and EMBASE databases were searched for relevant studies. The odds ratio (OR) of DED in all-cause headache was calculated via Stata software. To explore the source of heterogeneity, subgroup and sensitivity analyses were conducted. Funnel plots and Egger's test were performed to assess publication bias. RESULTS: This meta-analysis included 11 studies. Pooled analysis indicated that all-cause headache was related to a higher risk of DED (OR = 1.586, 95% CI : 1.409-1.785, I2 = 89.3%, p < .001). Migraine headache, tension headache and cluster headache were all related to a higher risk of DED (OR = 1.503, 95% CI: 1.369-1.650, I2 = 81.8%, p < .001; OR = 1.610, 95% CI: 1.585-1.635, p < .001; OR = 2.120, 95% CI: 1.104-4.073, p = .024), respectively. The risk of DED in case-control studies was slightly higher than in cross-sectional studies and cohort study (OR = 1.707, 95% CI: 1.291-2.258, I2 = 85.0%, p < .001; OR = 1.600, 95% CI: 1.590-1.610, I2 = 0.0%, p < .001; OR = 1.440, 95% CI: 1.096-1.893, p = .009), respectively. Subgroup analysis in territory type showed that all-cause headache in America, Europe, Asia and Oceania were all related to a higher risk of DED. CONCLUSIONS: This study indicates that headache is related to a higher risk of DED, especially in the migraine patients. These results suggest that headaches should be regarded as an independent risk factor for DED.KEY MESSAGESIn this meta-analysis, 11 studies (one cohort study, four case-control studies and six cross-sectional studies) covering 3,575,957 individuals were included.Pooled analysis indicated that all-cause headache was related to a higher risk of dry eye (OR = 1.586, 95% CI: 1.409-1.785, I2 = 89.3%, p < .001).These results suggest that headaches should be regarded as an independent risk factor for dry eye.

Long-term detection and spatiotemporal variation analysis of open-surface water bodies in the Yellow River Basin from 1986 to 2020.

Accurately investigating long-term information about open-surface water bodies can contribute to water resource protection and management. However, due to the limits of big-data calculations for remote sensing, there has been no specific study on the long-term changes in the water bodies in the Yellow River Basin. Thus, in this study, we developed a new combined extraction rule to build an entire annual-scale open-surface water body dataset for 1986-2020 with excellent effectiveness in eliminating the interference of shadows in the Yellow River Basin using all of the available Landsat images. For the first time, the spatial distribution, change trends, conversion processes, and the heterogeneity of the surface water bodies in the Yellow River Basin were analyzed comprehensively to the best of our knowledge. The extraction results had an overall accuracy of 99.70 % and a kappa coefficient of 0.90, which were validated using 34,073 verification points selected on high-resolution Google Earth images and random Landsat images. The total area of water bodies initially decreased (1986-2000) and then increased (2001-2020); however, only the size of the permanent water bodies increased in most areas, while the size of most of the seasonal water bodies decreased. In regions with human-made water bodies, the non-water areas were substantially converted to seasonal and permanent water bodies; however, in areas with natural water bodies, many permanent and seasonal water bodies were gradually converted to non-water areas. Thus, most of the increases in the water bodies occurred in the form of artificial lakes and reservoirs, while most of the decreases in the water body area occurred in natural wetlands and lakes. The areas of both the permanent and seasonal water bodies were positively correlated with precipitation, but only the area of the seasonal water bodies was negatively correlated with temperature.

Prognostic and immune-related value of STK17B in skin cutaneous melanoma.

Skin cutaneous melanoma (SKCM) is a common cancer of which mortality is increasing continuously. Our study conducted a series of analyses on the clinical significance of Serine/threonine kinase 17B (STK17B) in SKCM to provide a new biomarker for diagnosis and treatment. The RNA-sequence data were obtained from The Cancer Genome Atlas and Genotype-Tissue Expression databases. The data of 468 SKCM patients were divided into STK17B high- and low-expression groups and analyzed by Bioconductor package to identify the differential expressed genes. The R package of "clusterProfiler" was used for Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene-Set Enrichment Analysis analyses. A protein-protein interaction network and immune infiltration landscape were respectively constructed via STRING database and ssGSEA. STK17B had lower expression in SKCM than normal tissues. Besides, STK17B expression was significantly related to some clinicopathological characteristics in SKCM patients including T stage, Breslow depth, radiation therapy, melanoma Clark level, and pathologic stage. The Kaplan-Meier curve analyses revealed that the low expression of STK17B was correlated with poor overall survival and disease-specific survival. We constructed nomograms to predict the 1-, 3-, and 5-year survival of SKCM patients. The function enrichment analyses showed STK17B-related differential expressed genes were enriched in cellular differentiation and immune-related progress. STK17B expression level were positively correlated with infiltrating level of immune cells. In this study, we found that STK17B, which played an important role in immune infiltration, could be a new biomarker for diagnosis and prognosis in SKCM patients.

CARD11 is a prognostic biomarker and correlated with immune infiltrates in uveal melanoma.

Uveal melanoma (UVM), the most common primary intraocular malignancy, has a high mortality because of a high propensity to metastasize. Our study analyzed prognostic value and immune-related characteristics of CARD11 in UVM, hoping to provide a potential management and research direction. The RNA-sequence data of 80 UVM patients were downloaded from The Cancer Genome Atlas database and divided them into high- and low-expression groups. We analyzed the differentially expressed genes, enrichment analyses and the infiltration of immune cells using the R package and Gene-Set Enrichment Analysis. A clinical prediction nomogram and protein-protein interaction network were constructed and the first 8 genes were considered as the hub-genes. Finally, we constructed a competing endogenous RNA (ceRNA) network by Cytoscape and analyzed the statistical data via the R software. Here we found that CARD11 expression had notable correlation with UVM clinicopathological features, which was also an independent predictor for overall survival (OS). Intriguingly, CARD11 had a positively correlation to autophagy, cellular senescence and apoptosis. Infiltration of monocytes was significantly higher in low CARD11 expression group, and infiltration of T cells regulatory was lower in the same group. Functional enrichment analyses revealed that CARD11 was positively related to T cell activation pathways and cell adhesion molecules. The expressions of hub-genes were all increased in the high CARD11 expression group and the ceRNA network showed the interaction among mRNA, miRNA and lncRNA. These findings show that high CARD11 expression in UVM is associated with poor OS, indicating that CARD11 may serve as a potential biomarker for the diagnosis and prognosis of the UVM.

Generic Method to Create Segregated Structures toward Robust, Flexible, Highly Conductive Elastomer Composites.

Electrically and thermally conductive polymer composites are extensively used in our daily life. It is of great significance to fulfill the conductivity requirement while maintaining desirable mechanical performance. An efficient solution to achieve this goal is to construct segregated structures in polymer composites by confining fillers into the interstitial areas among polymer domains. Thus far, it still remains a challenge to create segregated structures in cross-linked polymeric networks. Herein, we report a facile methodology to construct segregated structures in sulfur-cured rubbers using an industrially accessible process toward robust, flexible, highly conductive elastomer composites. Specifically, natural rubber granules (NR-RGs) with reactive di- and polysulfides on the surface are fabricated and then mixed with NR gum, carbon nanotubes (CNTs), and curing additives, followed by compression molding to yield two-phase separate composites. In the composites, CNTs are selectively dispersed in the continuous NR phase due to the volume exclusion effect caused by the separate NR-RG phase, leading to overwhelming electrical conductivity compared to the counterparts with randomly dispersed CNTs. In addition, NR-RGs can serve as novel reinforcement for NR, imparting the composites with remarkably improved modulus and retained stretchability. The simultaneously improved electrical conductivity and mechanical properties are due to the strong interfacial adhesion between the NR matrix and NR-RGs, as the di- and polysulfides on the surface of NR-RGs can participate in the cross-linking reactions of NR gum and enable the establishment of covalent bonding across the interfaces. The universality of this approach in preparing segregated composites with a combination of high conductivities and robust mechanical properties is demonstrated using other diene rubbers as the matrix and boron nitride as the filler.

Variations in vegetation dynamics and its cause in national key ecological function zones in China.

Continued long-term monitoring of vegetation activity in national key ecological function zones (NKEFZs) has implications for national ecological security and sustainability in China. We used Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) dataset to map and analyze the spatiotemporal patterns of change in vegetation growth and their linkage with climate change and human activities in NKEFZs during 1982-2013. Statistically significant increases of growing season, spring, and autumn NDVI were observed during all or most periods while 25 NKEFZs are taken as a whole. Non-significant decreases of NDVI were found in 7 NKEFZs during a few periods, and obvious increases were observed during fifteen periods in all other NKEFZs. Vegetation growth in NKEFZs was mainly regulated by a thermal factor, and the dominant climatic drivers varied across different regions and seasons. The influence of temperature was stronger on vegetation activity in spring and autumn for those NKEFZs located in high latitudes and high elevations, while precipitation was the main climatic control factor for NKEFZs in the arid and semi-arid regions. The effects of human activity on the NDVI of NKEFZs were not ignored; a significant decrease of NDVI in the Sanjiang Plain may be related to the rapid change in land use from wetland into farmland.

Spatiotemporal changes in vegetation coverage and its causes in China since the Chinese economic reform.

With the rapid development of the economy over 40 years since the initiation of Chinese economic reform, terrestrial ecosystems in China have undergone large-scale changes. In this study, we investigated vegetation dynamics in China and their relationships with climatic factors and anthropogenic drivers over 15 progressive periods of 18-32 years starting in 1982. This was accomplished by using the third-generation global satellite Advanced Very High Resolution Radiometer (AVHRR), Normalized Difference Vegetation Index (NDVI) dataset, night-time satellite data, and climate data. Across China, NDVI increased significantly during 1982-2013; especially significant increases were observed in all periods during the growing season and spring. At the pixel scale, 21-38% of the vegetated area in the 15 periods experienced a significant positive trend in vegetation growth. This increase was mostly located in central and southern China. A significant negative trend was observed in 1-8% of the vegetated area pixels, and this pattern was mainly seen in northwestern China, the Yangtze River Delta region, and the Pearl River Delta region. The contribution of spring NDVI to vegetation improvement increased, while the contribution of summer NDVI decreased. Vegetation activity in China was mainly regulated by thermal factors, especially pronounced in mountainous regions of northern China. However, the restrictive effect of moisture factors was very marked to vegetation growth in areas with less than 400 mm of precipitation. Urbanization in China has led to vegetation degradation in most urban centers and surrounding areas in central and eastern China. The increase of agricultural plantations, the Grain for Green Project, and a series ecological restoration projects in some areas have promoted vegetation coverage.

Repression of microRNA-21 inhibits retinal vascular endothelial cell growth and angiogenesis via PTEN dependent-PI3K/Akt/VEGF signaling pathway in diabetic retinopathy.

Diabetic retinopathy (DR) is a microvascular complication of diabetes and one of the most common causes of blindness in active stage. This study is performed to explore the effects of microRNA-21 (miR-21) on retinal vascular endothelial cell (RVEC) viability and angiogenesis in rats with DR via the phosphatidylinositiol 3-kinase/protein kinase B (PI3K/Akt)/vascular endothelial growth factor (VEGF) signaling pathway by binding to phosphatase and tensin homolog (PTEN). Sprague Dawley (SD) rats were used for establishment of DR models. Target relationship between miR-21 and PTEN was assessed by bioinformatics prediction in combination with dual-luciferase reporter gene assay. Identification of expression of miR-21, PTEN and PI3K/Akt/VEGF signaling pathway-related genes in the retinal tissues was then conducted. In order to assess the contributory role of miR-21 in DR, the RVECs were transfected with mimic or inhibitor of miR-21, or siRNA-PTEN, followed by the detection of expression of PTEN and PI3K/Akt/VEGF-related genes, as well as the measurement of cell viability, cell cycle and apoptosis. Increased expression of miR-21 and PI3K/Akt/VEGF related genes, along with a reduced expression of PTEN was observed in the retinal tissues of DR rats. PTEN was targeted and negatively regulated by miR-21, while the PI3K/Akt/VEGF signaling pathway was activated by miR-21. RVECs transfected with miR-21 inhibitor exhibited promoted viability and angiogenesis, and inhibited apoptosis. To conclude, our results indicated that miR-21 overexpression could potentially stimulate RVEC viability and angiogenesis in rats with DR through activation of the PI3K/Akt/VEGF signaling pathway via repressing PTEN expression, highlighting the potential of miR-21 as a target for DR treatment.

IL-17 produced by Th17 cells alleviates the severity of fungal keratitis by suppressing CX43 expression in corneal peripheral vascular endothelial cells.

Fungal keratitis is a relatively common ocular disease requiring positive medical management combined with surgical intervention. Interleukin-17 (IL-17) was reported to promote the activation and mobilization of neutrophile granulocyte to foci of inflammation. This study investigated the effect of IL-17 production from Th17 cells on the progression of fungal keratitis. A mouse model of fungal keratitis induced by Candida albicans was successfully constructed to detect infiltration of inflammatory cells in corneal tissues by hematoxylin-eosin (HE) staining and immunohistochemistry. Fungal load capacity of mouse cornea was also detected. The regulatory role of IL-17 in fungal keratitis with the involvement of CX43 was investigated with the relevant expression of inflammatory factors detected and activation of vascular endothelial cells assessed. Furthermore, in vivo experiment was also performed to confirm the role of CX43 in keratitis. Mice with fungal keratitis showed increased level of inflammatory cytokines and infiltration of inflammatory cells. Silencing IL-17 in Th17 cells and overexpressing CX43 could inhibit the activation of vascular endothelial cells. Besides, CX43 knockdown in vivo alleviated fungal keratitis in mice. The possible mechanism of the above findings could be IL-17 inhibiting the level of CX43 through the AKT signaling pathway. Taken together, IL-17 could inhibit the occurrence and development of fungal keratitis by suppressing CX43 expression through the AKT signaling pathway. Therefore, this study provides a potential target for the treatment of fungal keratitis.

MicroRNA-126 inhibits cell viability and invasion in a diabetic retinopathy model via targeting IRS-1.

Diabetic retinopathy (DR) is a sight-threatening complication of diabetes. IRS-1 was predicted to be the target gene of microRNA-126 (miR-126). The present study was designed to illustrate the involvement of miR-126 in the regulation of DR via targeting IRS-1. The present study revealed that the expression of miR-126 was significantly decreased while IRS-1 expression was increased in endothelial cells (ECs) and retinal pericytes (RPs) from a DR mouse model compared with healthy controls. Furthermore, a luciferase reporter assay confirmed the interaction between miR-126 and IRS-1. Following transfection with anmiR-126 mimic or miR-126 inhibitor, overexpression of miR-126 was demonstrated to suppress the invasion and viability of ECs and RPs and to inhibit the IRS-1 and phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) pathway protein expression levels, with inhibition of miR-126 leading to reverse results. Furthermore, transfection with small interfering RNA targeting IRS-1 altered the miR-126-induced effects observed in ECs, indicating that miR-126 may suppress angiogenesis in DR via inhibition of IRS-1 expression. Taken together, the results of the present study suggested that miR-126 affected the expression of IRS-1, resulting in downregulated expression of PI3K/Akt pathway proteins, and also suppressed cell invasion and viability. These results may provide a potential therapeutic strategy for DR.

What's new in dermoscopy of Bowen's disease: two new dermoscopic signs and its differential diagnosis.

BACKGROUND: Clinical and dermoscopic features of Bowen's disease (BD) show great diversity. Some lesions of BD are often difficult to be differentiated from seborrheic keratosis, actinic keratosis, lichen planus-like keratosis, etc. It is necessary to fully describe the dermoscopic features of the disease, considering differential diagnosis. OBJECTIVE: To describe the dermoscopic feautres of Bowen's disease and summarize the dermoscopic differential diagnosis of the disease. PATIENTS AND METHODS: Altogether 146 lesions with a histopathological diagnosis of Bowen's disease were consecutively included in this study. All the lesions were imaged with dermoscopy and analyzed for dermoscopic features. RESULTS: A total of 146 lesions were analyzed. The dermoscopic features most frequently observed in our series of lesions were scales (78.8%), glomerular vessels (69.2%), yellow crusts (56.8%), focal hemorrhage (55.5%), focal/multifocal hypopigmentation (44.5%), and linear irregular vessels (42.5%). Besides, we found two new dermoscopic signs in BD: the double-edge sign (30.1%) and the clusters of brown structureless areas (38.4%). CONCLUSION: Bowen's disease presents a variety of dermoscopic features. The recognition of two new dermoscopic signs of BD and fully understanding its dermoscopic features will help us in differential diagnosis.

[Research on the Spectral Characteristic of Typical Vegetation in Desert-Oasis Crisscross Zone].

Vegetations in desert play key a role in protecting eco-environment, especially in desert-oasis crisscross zone. Vegetations are of great significance in soil conservation and improving the shear resistance of land. Therefore, they can help to prevent soil from wind erosion and keep land from desertification. Analyzing the spectral data of typical vegetation in desert-oasis crisscross zone by using the hyper spectral technology can be a guidance for remote sensing vegetation classification and serve as the basis for remote vegetation monitoring. In our research, four kinds of typical vegetations have been selected: cotton, tamarix chinensis, Haloxylon ammodendron and Halostachys caspica. The researcher collected series of spectral data of different typical vegetations under different conditions with the help of Field Spec 4 high resolution spectrometer. The collected data was classified, flitted and synthesized with two kinds of transform methods: FDR (First Order Derivative Reflectance) and RLR (Reciprocal Logarithmic Reflectance) transformation. And then three kinds of data were used in further research to analyze the sensitive spectrum band and expression of different vegetation. The result shows that the spectral curve of different vegetations show the same changing trend; different vegetation show different expression in "red edge" with the near infrared band of 780~1 260 nm. The visible light absorption of vegetation is very strong, and the difference of absorption extent causes peaks and troughs. The "red edge" characteristic is unique, which will carry the proper information of certain vegetation, and the result of different kinds of transformation show that FDR can express the red edge characteristic much better than other ways. At last, three ways were used to calculate NDVI, using the original spectral data, transforming spectral data with FDR and transforming spectral data with RLR. Result shows that the NDVI , which calculated by RLR can help to distinguish the type of vegetation with higher accuracy is.

[Dynamic changes in vegetation NDVI from 1982 to 2012 and its responses to climate change and human activities in Xinjiang, China].

Vegetation plays an important role in regulating the terrestrial carbon balance and the climate system, and also overwhelmingly dominates the provisioning of ecosystem services. Therefore, it has significance to monitor the growth of vegetation. Based on AVHRR GIMMS NDVI and MODIS NDVI datasets, we analyzed the spatiotemporal patterns of change in NDVI and their linkage with climate change and human activity from 1982 to 2012 in the typical arid region, Xinjiang of northwestern China, at pixel and regional scales. At regional scale, although a statistically significant positive trend of growing season NDVI with a rate of 4.09 x 10⁻4· a⁻¹ was found during 1982-2012, there were two distinct periods with opposite trends in growing season NDVI before and after 1998, respectively. NDVI in growing season first significantly increased with a rate of 10 x 10⁻4· a⁻¹ from 1982 to 1998, and then decreased with a rate of -3 x 10⁻4· a⁻¹ from 1998 to 2012. The change in trend of NDVI from increase to decrease mainly occurred in summer, followed by autumn, and the reversal wasn't observed in spring. At pixel scale, the NDVI in farmland significantly increased; the NDVI changes in the growing season and all seasons showed polarization: Areas with significant change mostly increased in size as the NDVI record grown in length. The rate of increase in size of areas with significantly decreasing NDVI was larger than that with significantly increasing NDVI, which led to the NDVI increase obviously slowing down or stopping at regional scale. The vegetation growth in the study area was regulated by both climate change and human activity. Temperature was the most important driving factor in spring and autumn, whereas precipitation in summer. Extensive use of fertilizers and increased farmland irrigated area promoted the vegetation growth. However, the rapid increase in the proportion of cotton cultivation and use of drip irrigation might reduce spring NDVI in the part of farmlands, and the increase in stocking levels of livestock might lead to a decrease in NDVI in some grasslands.

[Retrieval method for estimating snow depth using hyperspectral data in snowmelt period].

The snow surface reflectance spectra with different depth in snowmelt period and snow depth data were measured and its correlation was analyzed. The characteristic absorption band data of the valley with higher correlation were used to establish a single band snow depth regression model. The highest contribution rate of the band was selected as the input variable of the neural network model to retrieve snow depth. The results show that in Juntang Lake area, near 1 022, 1 241 and 1 492 nm exists characteristic absorption valley of snow, and compared to estimation accuracy of the single-band inversion of snow depth model (R2 = 0.53), ANN-BP model has a higher inversion level, and determination coefficient (R2 = 0.86, RMSE = 0.67) was obtained with 4 nodes in hidden layers, indicating that ANN-BP model can greatly improve the ability of inversion of snow depth with hyperspectral data.

[Spectral characters analysis of ground objects in snowmelt period in the northern slope of Tianshan Mountains].

Urumqi River Basin and Juntanghu Basin, located in the northern slope of Tianshan Mountains in Xinjiang, were selected as typical study areas. With the portable field spectrometer CI700 produced by CID in the United States and from a large number of field investigations and field measurements in the snowmelt period (usually starts in the end of February or the beginning of March, and goes on for many days) from 2006 to 2009, a variety of spectral curves and their variation of typical ground objects in the snowmelt period in the northern slope of Tianshan Mountains, such as snow, ice, water and soil, were obtained, and spectral characters analysis was carried out based on the collected data. The results showed that the classes of ground objects in snowmelt period are quite monotone, however, a great challenge was brought about to the quantitative remote sensing research on surface parameters in snowmelt period because of the interactive effects of the complex systems of snow-ice-water-soil, the spectral properties of typical ground objects, and their complex changes. Reflectance of soil with different moisture conditions is distinct, as well as reflectance of ice and snow under different environment or dissimilar mixtures have obvious development trends. The series of observations and analysis of the typical and complex spectral features in snowmelt period are of great significance for the fundamental study of objects' spectral characteristics, as well as for the application of quantitative remote sensing studies.