Water quality is highly influenced by the composition and configuration of landscape structure, and regulated by various spatiotemporal factors. Using the Wujiang river watershed as a case study, this research assesses the influence of landscape metrics-including composition and spatial configuration-on river water quality. An understanding of the relationship between landscape metrics and water quality can be used to improve water contamination predictability and provide restoration and management strategies. For this study, eight water quality variables were collected from 32 sampling sites from 2014 through 2017. Water quality variables included nutrient pollutant indicators ammoniacal nitrogen (NH 3 -N), nitrogen (NO 3 − ), and total phosphate (TP), as well as oxygen-consuming organic matter indicators COD (chemical oxygen demand), biochemical oxygen demand (BOD 5 ), dissolved oxygen (DO), and potassium permanganate index (COD Mn ). Partial least squares (PLS) regression was used to quantitatively analyze the influence of landscape metrics on water quality at five buffer zone scales (extending 3, 6, 9, 12, and 15 km from the sample site) in the Wujiang river watershed. Results revealed that water quality is affected by landscape composition, landscape configuration, and precipitation. During the dry season, landscape metrics at both landscape and class levels predicted organic matter at the five buffer zone scales. During the wet season, only class-level landscape metrics predicted water contaminants, including organic matter and nutrients, at the middle three of five buffer scales. We identified the following important indicators of water quality degradation: percent of landscape, edge density, and aggregation index for built-up land; aggregation index for water; CONTAGION; COHESION; and landscape shape index. These results suggest that pollution can be mitigated by reducing natural landscape composition fragmentation, increasing the connectedness of region rivers, and minimizing human disturbance of landscape structures in the watershed area.

In order to solve the problem of the effect of CT images on the diagnosis of lungs, the authors proposed a method for the diagnosis of invasive mucinous adenocarcinoma of the lungs based on CT radiomic features, and the modified method is found by reviewing past cases: among the 34 cases of primary pulmonary lymphoma, 12 cases were nodular mass type, 19 cases were nonnodular mass type, and 3 cases were mixed type; 13 cases involved bilateral lung lobes, 7 cases involved right lung, and 4 cases involved left lung example. There were 17 cases of tumor consolidation density shadow, 17 cases of mixed density shadow, the average CT value was about 32HU, 15 cases of cavitation sign, 6 cases of cavity, 9 cases of angiography sign, 30 cases of air bronchus sign, 22 cases of bronchiectasis, bronchial stenosis or amputation in 8 cases, pleural effusion in 12 cases, lymph node enlargement in 15 cases, and pleural metastasis in 2 cases. The final pathological results included 24 cases of membrane-associated lymphoid tissue (MALT) lymphoma, 9 cases of diffuse large B-cell lymphoma (DLBCL), and 1 case of T-cell lymphoma. The CT manifestations of primary pulmonary lymphoma (PPL) are diverse and do not have obvious specificity, the imaging manifestations are correlated with pathological types, and air bronchial signs, bronchiectasis, angiography signs, and other signs are used for the diagnosis of PPL. This is of great significance for the diagnosis of PPL.

Pig industry plays a very important role in adjusting agricultural structure, promoting the optimization of the agricultural resources allocation, improving the people's livelihood and increasing farmers' income. But in recent years, price of pig fluctuates violently. As a result, participants within the pig industry have frequently found themselves facing increased variable and more price risk. Sharp price fluctuation negatively affected the pig industry developed steadily. So it is essential to take pork price risk forewarning to provide decision aids to avoid such market risk. The early warning, which is usually built on the base of forecast, is the premise of removewarning. In this paper, a new pork price warning way-decision tree warning which could warn all kinds of conditions directly was developed. We firstly set up a pork price early warning index system by analyzing pork market of china in nearly over 10 years, based on empirical analysis and systematic analysis. Then, decision tree was used to build the pork price early warning model. And we made the model checking by comparing predictive-and-actual results of the recent 17 years. At last we forecasted future pork price risk and discussed on the probability of developing and promoting the pork price early warning system based on decision tree in China.

PurposeThis research seeks to undertake a comparative study of Chinese distribution centers (DCs) with UK DCs in order to explore the relationship between the supply chain, logistics and distribution functions, and the gap between the countries. The study has been undertaken in light of Chinese corporate standardization programs in distribution channels. The main goal of the standardization programs has been to create efficient supply chains to be able to control the flow of information, capital, product and other resources. The focus of the study was Fujian Province where the standardization program has meant that functional areas such as marketing and distribution are measured by key performance indicators (KPI), under specific evaluation keys. The study highlights benchmarked KPIs where supply chain entrepreneurship can be brought to bear.Design/methodology/approachThe method used in this research is quantitative via a small scale sample. Questionnaires were sent to Chinese DCs in Fujian Province with additional quantitative information sought through telephone follow‐up.FindingsThe data have been analyzed and compared to UK DCs for inventory level, order lead‐times, customer segmentation, value‐added activities, and floor area utilization. DCs are a long way from internationally competitive best practice across complex product categories. This provides opportunity for entrepreneurial third party inventory storage and management. DCs also exhibits low transportation efficiency due to low vehicle loading factors, also affecting DC order lead‐time efficiency and value‐added activities. There is opportunity here for entrepreneurial activity in offering efficient (lean) and responsive (agile) third party transport services. There is also evidence of poor process management implying opportunity for the application of entrepreneurial consulting capability to resource and reengineer end‐end process chains.Research limitations/implicationsThe research generalisability is limited due its small scale sample in a single Chinese province.Practical implicationsDespite a modernization program the implications of this study are that Chinese DCs are not ready for traditional international competition, but in the short‐term entrepreneurs may be able to design sustainable lean and agile supply chains that are at least as good as those in the UK.Originality/valueThe study's originality is its comparative benchmark of Chinese with UK DCs.

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