篩積作用 的英文怎麼說
中文拼音 [shāijīzuòyòng]
篩積作用
英文
sieve deposition-
The microgels of close monodispersity with different volume and cross - linking density can be prepared by using an inverse emulsion polymerization method. both artificial and natural materials, including zeolites, membranes, vesicles, liquid crystal, microemulsion, micelles, biopolymers, etc., have been used as template. the three - dimentional network structure and spherical morphology of polymeric microgels may guarantee the homogeneous of the structure of the composite, the size and the morphology of the various organic - inorganic composites with unusual structures
在反相乳液聚合條件下，通過控制反應條件可以得到體積不同、交聯度不同的近乎單分散的微凝膠，如同分子篩、單（多）分子膜、囊泡、液晶、微乳液、膠束、生物大分子等可作為微納米無機材料合成模板一樣，高分子微凝膠所特有的三維網路結構和球形形貌有可能對在其中進行的無機結晶或沉積反應施加限域和導向作用，從而控制所生成無機材料的形貌和大小，得到各種具有特異結構的無機-有機復合材料。Western blot analysis showed that rhpk - 5 ( recombinant human plasminogen kringle 5, rhpk - 5 ) protein was recognized by mab same as native hpk - 5. the result suggested that we obtained correct gene sequence of hpk - 5 and got the purified rhpk - 5. section ii : construction of pbv220 / hpk - 5 vector for obtaining high - level hpk - 5 expression system, the hpk - 5 gene was recombined with plasmid pbv220 to construct the vector of pbv / hpk - 5
Coli ）作為宿主，經sds - page分析，篩選表達量最高的菌株作為發酵用工程菌株；用western - blot方法鑒定hpk - 5因子的免疫學活性；用搖瓶發酵的方法，研究發酵培養基的體積（溶解氧） 、組成成份及誘導起始時間和誘導持續時間對目的蛋白表達量的影響，優化hpk - 5基因工程菌的表達條件。They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world
在此基礎上，篩選出23個警兆指標：農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試，把糧食價格預警問題轉換成一個機器學習問題，引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法，用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。
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