ABSTRACT
Since systematic direct measurements of refractive index structure constant ( Cn2) for many climates and seasons are not available, an indirect approach is developed in which Cn2 is estimated from the mesoscale atmospheric model outputs. In previous work, we have presented an approach that a state-of-the-art mesoscale atmospheric model called Weather Research and Forecasting (WRF) model coupled with Monin-Obukhov Similarity (MOS) theory which can be used to estimate surface layer Cn2 over the ocean. Here this paper is focused on surface layer Cn2 over snow and sea ice, which is the extending of estimating surface layer Cn2 utilizing WRF model for ground-based optical application requirements. This powerful approach is validated against the corresponding 9-day Cn2 data from a field campaign of the 30th Chinese National Antarctic Research Expedition (CHINARE). We employ several statistical operators to assess how this approach performs. Besides, we present an independent analysis of this approach performance using the contingency tables. Such a method permits us to provide supplementary key information with respect to statistical operators. These methods make our analysis more robust and permit us to confirm the excellent performances of this approach. The reasonably good agreement in trend and magnitude is found between estimated values and measurements overall, and the estimated Cn2 values are even better than the ones obtained by this approach over the ocean surface layer. The encouraging performance of this approach has a concrete practical implementation of ground-based optical applications over snow and sea ice.
ABSTRACT
This Letter formulates a simple yet accurate radiative-transfer-based theoretical model to characterize the fraction of radiation reflected by terrestrial surfaces. Emphasis is placed on the concept of inhomogeneous distribution of the diffuse sky radiation function (DSRF) and multiple interaction effects (MIE). Neglecting DSRF and MIE produces a -1.55% mean relative bias in albedo estimates. The presented model can elucidate the impact of DSRF on the surface volume scattering and geometry-optical scattering components, respectively, especially for slant illuminations with solar zenith angles (SZA) larger than 50°. Particularly striking in the comparisons between our model and ground-based observations is the achievement of the agreement level, indicating that our model can effectively resolve the longstanding issue in accurately estimating albedo at extremely large SZAs and is promising for land-atmosphere interactions studies.
ABSTRACT
BACKGROUND: A number of researches focused on the study of tumors have concluded that the expression level of lncRNA NKILA was decreased in different tumors. This is an indication that NKILA might influence the start and growth of a cancer. In addition, studies have fatalities and worsening health of cancer patients is associated with a reduced level of NKILA. RESULTS: The results are the collective screening of nine total studies which included 937 cancer patients. The prognosis of the meta-analysis indicated that cancer patients with a higher expression of NKILA had an overall longer survival (OS) (HR = 0.808, 95% CI: 0.736, 0.887); with regard to the clinical prognosis, the results indicated that reduced NKILA was associated with advanced clinical stage (OR = 0.313, 95% CI: 0.225, 0.434), poor histological grades (OR = 0.833, 95% CI: 0.508, 1.367), positive lymph node metastasis (OR = 0.253, 95% CI: 0.144, 0.444), and additional tumor invasion depth (OR = 0.326, 95% CI: 0.234, 0.454). MATERIALS AND METHODS: Related research conducted was accessed by searching in PubMed and Web of Science with the keywords. The accessed material was till the 25th of February, 2020. The present quantitative meta-analysis was done using Stata SE12.0. The aim of the meta-analysis was to investigate the relationship between NKILA expression level and clinical prognosis. CONCLUSIONS: In the result of this meta-analysis, decreased NKILA expression is typical of different kinds of cancer. Moreover, it can perform as a predictive element of prognosis in varied kinds of cancer. Nonetheless, till now, it is deemed essential to carry out larger-size as well as better designed research works for the confirmation of our findings.
Subject(s)
Biomarkers, Tumor/genetics , NF-kappa B/genetics , Neoplasms/genetics , RNA, Long Noncoding/genetics , Gene Expression Regulation, Neoplastic , Humans , Lymphatic Metastasis , Neoplasms/pathology , PrognosisABSTRACT
Fullerenol (F) shows a strong and stable room-temperature phosphorescence (RTP) signal on the surface of nitrocellulose membrane (NCM) at lambda ex max/ lambda em max =542.0/709.4 nm. When modified by dodecylbenzenesulfonic acid sodium salt (DBS), fullerenol emits a stronger signal. It was also found that quantitative specific affinity-adsorption reaction can be carried out between Triticum vulgare lectin (WGA) labeled with DBS-F and alkaline phosphatase (ALP) on the surface of NCM, and the product obtained (WGA-ALP-WGA-F-DBS) emits a strong and stable RTP signal. Furthermore, the content of ALP was proportional to the DeltaI(p) value. Based on the facts above, a new method for the determination of trace amounts of ALP by affinity-adsorption solid-substrate room-temperature phosphorimetry (AA-SS-RTP) was established, using fullerenol modified with DBS to label WGA. The detection limit was 0.011 fg spot(-1) (corresponding concentration: 2.8x10(-14) g ml(-1), namely 2.8x10(-16) mol l(-1)). This method with high sensitivity, accuracy, and precision has been successfully applied to the determination of the content of ALP in human serum survey and forecast human disease, and the results are tallied with those using alkaline phosphatase kits. The mechanism for the determination of ALP using AA-SS-RTP was also discussed.