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文章分析了码分多址（CDMA）网络优化评估与优化的参数,对掉话现象进行了分析,并在此基础上提出了CDMA直放站的正确使用和网络优化的关系.

为提高虾青素的生物利用度，增加其稳定性，采用均质乳化-探头超声法制备虾青素纳米脂质载体（AST-NLC）。以粒径和包封率为指标，通过单因素试验和中心复合设计法优化AST-NLC的制备工艺，并对制备的AST-NLC进行X射线衍射（XRD）和傅里叶红外光谱（FT-IR）结构表征，以及4、25、50 ℃下的热稳定性测试。结果表明:制备AST-NLC的最佳工艺条件为甘油三硬脂酸酯与中链甘油三酯质量比1∶ 11（总质量0.99 g）、乳化剂用量（吐温-80+大豆卵磷脂，质量比1∶ 1）3.8%（以水相质量为基准）、油水比1∶ 34（体积比）、均质速度5 000 r/min、超声时间2 min、虾青素添加量2.0 mg，在此条件下制备的AST- NLC粒径为（79.30±1.21）nm，多分散系数（PDI）为0.01±0.01，包封率为（81.36±1.84）%，Zeta电位为（-18.13±2.83）mV；结构表征结果表明，AST-NLC中的虾青素是以分子的状态包裹在脂质体中；热稳定性结果显示，4 ℃更有利于AST-NLC的保存。综上，成功制备了粒径小、分散均匀且包封率较高的AST-NLC。In order to improve the bioavailability and increase the stability of astaxanthin, astaxanthin nanolipid carrier (AST-NLC) was prepared by the homogeneous emulsification-probe ultrasonic method. The preparation process of AST-NLC was optimized by single factor experiment and central composite design method with particle size and encapsulation rate as indexes, and the AST-NLC prepared was structurally characterized by X-ray diffraction (XRD) and Fourier infrared spectroscopy(FT-IR) and tested for thermal stability at 4, 25 ℃ and 50 ℃. The results showed that the optimal process conditions for preparing AST-NLC were mass ratio of glycerol tristearate to medium chain triglyceride 1∶ 11 (total mass 0.99 g), emulsifier dosage (Tween-80+soybean lecithin, mass ratio 1∶ 1)3.8%(based on water phase mass), oil-water volume ratio 1∶ 34, homogeneous speed 5 000 r/min, ultrasonic time 2 min, astaxanthin dosage 2.0 mg. Under the optimal conditions, the AST-NLC was prepared with a particle size of (79.30±1.21) nm, a polymer dispersity index(PDI) of 0.01±0.01, an encapsulation rate of (81.36±1.84)%, and Zeta potential（-18.13±2.83）mV. The structural analysis revealed that astaxanthin in AST-NLC was encapsulated in liposomes in the state of molecules. The thermal stability results showed 4 ℃ was more favorable for the preservation of AST-NLC. In conclusion, AST-NLC with small particle size, homogenous dispersion and high encapsulation rate was successfully prepared.

作为算力承接地，西部地区拥有丰厚的自然资源禀赋，需充分发挥其在能源、气候等方面的优势。“东数西算”背景下，数据中心急需对算力转移过程的碳减排效益进行量化分析。在考虑可再生能源、气候因素和传输过程3个影响因素的情况下，构建了数据中心工作负载转移的碳排放量核算模型，以“东数西算”八大节点为例进行算例分析。结果发现，相较于可再生能源和气候因素所减少的碳排放量，传输过程造成的额外碳排放量微乎其微，在仅考虑前两者的情况下，每转移1 kW·h的工作负载，碳排放量可减少0.053~0.344 kg。为提高负载转移带来的碳排放效益，西部地区应当引导数据中心向资源密集处聚集，大力发展清洁能源产业，加大清洁能源开发力度，促进清洁能源消纳程度，同时把握此次机遇，吸引数字产业落地，推动传统产业数字化转型。