Abstract Context Maintaining regional ecological security is necessary to ensure sustainable human survival and development. Starting with the goal of ecological security, optimal strategies for land use zoning can be developed. Previous studies have mainly focused on identifying ecological sources and ecological corridors, but the importance of ecological security in optimizing urban land use is seldom explored. In this study, a novel strategy for optimizing ecological security patterns (ESP) was proposed. Objectives To examine how to realize the zoning control of land use based on ESP . Methods We used an ESP model based on an ecological sensitivity evaluation, rain and flood models, MCR (Minimal Cumulative Resistance) model, and gravity model. Using these tools. And we assessed the ecological restoration, development, and construction of Zhongtai and proposed an optimized land use zoning management strategy. Results The establishment of the ESP of Zhongtai allowed for the characterization of the circulation of ecological sources in the region. This revealed 10 ecological sources, 9 important corridors, and 12 ordinary corridors. Recently, the study area has undergone a significant population increase and a rapid increase in urban land. But these built-up lands are concentrated in flood prone areas. Therefore, the construction of disaster prevention infrastructure should be prioritized during urban planning. Notably, the ecological corridors were mainly composed of tea plantations, farm land, mining land, and forest land, accounting for 80.45% of the total area. Ecological recovery can be carried out by mixed planting, returning farmland to forest, and prohibiting mining. In total, 71 ecological patches for restoration were identified, these were mostly mine lands flagged for restoration, but some were tea plantation optimization and illegal construction demolition areas. 61 controlled construction blocks were identified where strategies for ecological protection and food security should be applied, with priority use given to wastelands. Conclusions The ultimate goal of the study was to propose an optimized plan for controlled zoning of land use. Based on the ecological security and ecological sensitivity of the study area, four control zones were established: core protection area, ecological control area, restricted construction area, and suitable construction area. This controlled zoning strategy puts forward a clear management plan that ensures ecological protection and ecological restoration with optimal configurations and controlled construction designed to improve human health and livelihoods.
An alkaliphilic actinomycete strain, designated YIM 80379 T , was isolated from a soil sample collected from the eastern desert of Egypt and subjected to polyphasic taxonomy. The strain produced substrate and aerial mycelia on different media, with an optimum pH for growth of 9·5–10 and scarce or no growth at pH 7. Strain YIM 80379 T contained meso -diaminopimelic acid, no diagnostic sugars, type PIII phospholipids and MK-10(H 6 ) and MK-10(H 8 ) as the predominant menaquinones. All of these characters assign isolate YIM 80379 T consistently to the genus Nocardiopsis . This was confirmed by 16S rDNA analysis. It can be differentiated from all Nocardiopsis species with validly published names by phenotypic characteristics, phylogenetic analysis and DNA–DNA hybridization results. On the basis of polyphasic evidence, a novel species, Nocardiopsis alkaliphila sp. nov., is proposed. The type strain of the species is YIM 80379 T (=CCTCC AA001031 T =DSM 44657 T ).
Mobile devices are especially vulnerable nowadays to malware attacks, thanks to the current trend of increased app downloads. Despite the significant security and privacy concerns it received, effective malware detection (MD) remains a significant challenge. This paper tackles this challenge by introducing a streaminglized machine learning-based MD framework, StormDroid: (i) The core of StormDroid is based on machine learning, enhanced with a novel combination of contributed features that we observed over a fairly large collection of data set; and (ii) we streaminglize the whole MD process to support large-scale analysis, yielding an efficient and scalable MD technique that observes app behaviors statically and dynamically. Evaluated on roughly 8,000 applications, our combination of contributed features improves MD accuracy by almost 10% compared with state-of-the-art antivirus systems; in parallel our streaminglized process, StormDroid, further improves efficiency rate by approximately three times than a single thread.
A Gram-stain-positive, aerobic, non-motile actinomycete strain, designated YIM 65601(T), was studied by using a polyphasic approach. Phylogenetic analysis based on 16S rRNA gene sequence comparisons revealed that strain YIM 65601(T) should be assigned to the genus Nonomuraea, with highest 16S rRNA gene sequence similarities to Nonomuraea candida HMC10(T) (98.8 %), N. salmonea DSM 43678(T) (98.7 %), N. turkmeniaca DSM 43926(T) (98.5 %), N. roseola DSM 43767(T) (98.4 %), N. dietziae IFO 14309(T) (98.2 %) and N. kuesteri GW 14-1925(T) (98.1 %). 16S rRNA gene sequence similarities to strains of other Nonomuraea species were below 98.0 %. Morphological and chemotaxonomic properties of the isolate were consistent with those of members of the genus Nonomuraea. The results of DNA-DNA hybridization and physiological and biochemical tests and fatty acid profiles allowed genotypic and phenotypic differentiation of strain YIM 65601(T) from closely related species. Thus, YIM 65601(T) represents a novel species of the genus Nonomuraea, for which the name Nonomuraea endophytica sp. nov. is proposed, with YIM 65601(T) ( = CCTCC AA 209037(T) = DSM 45385(T)) as the type strain.
With the rapid development of urbanization, the urban expansion morphology has been changing with complex driving mechanisms behind the urban evolution process. This article simulates the results of urban land development contingent upon decision‐makers’ risk preferences and reveals the inherent law of the effect of risk preferences on urban expansion morphology. Results show that cautious decision‐makers lead to the urban expansion morphology being relatively compact, and the reckless decision‐makers lead the urban expansion to sprawl. Moreover, there are obvious differences in strengths of planning constraints on the decision‐makers with different risk preferences. The reckless decision‐makers, driven by the economic interests, are more likely to break through the planning, especially when the planning is not reasonable. It is also found that enhancing executive ability of planning for the reckless decision‐makers can promote compactness of the urban expansion morphology. However, the effect of enhancing executive ability of planning on the cautious decision‐makers is limited. Thus, in the case of unreasonable planning, the executive ability of planning to the reckless decision‐makers should be enhanced so as to avoid urban sprawl.
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