摘要：With the excellent biocompatibility and osteo- conductivity, nano-hydroxyapatite （nHA） has shown significant prospect in the biomedical applications. Con- trolling the size, crystallinity and surface properties of nHA crystals is a critical challenge in the design of HA based biomaterials. With the graft copolymer of chitosan and poly（N-isopropylacrylamide） in coil and globule states as a template respectively, a novel composite from chitosan-g-poly（N-isopropylacrylamide） and nano-hydro- xyapatite （CS-g-PNIPAM/nHA） was prepared via co- precipitation. Zeta potential analysis, thermogravimetric analysis and X-ray diffraction were used to identify the formation mechanism of the CS-g-PNIPAM/nHA compo- site and its morphology was observed by transmission electron microscopy. The results suggested that the physical aggregation states of the template polymer could induce or control the size, crystallinity and morphology of HA crystals in the CS-g-PNIPAM/nHA composite. The CS-g-PNIPAM/nHA composite was then introduced to chitosan-gelatin （CS-Gel） polyelectronic complex and the cytocompatibility of the resulting CS- Gel/composite hybrid film was evaluated. This hybrid film was proved to be favorable for the proliferation of MC 3T3-E1 cells. Therefore, the CS-g-PNIPAM/nHA compo- site is a potential biomaterial in bone tissue engineering.

摘要：A scanning Fabry–Perot interferometer(SFPI)was first developed and deployed at the Langfang near Space Environment Field Scientific Observation Station(39.38°N,116.65°E)of the National Space Science Center,*** instrument is designed to measure the mesospheric and thermospheric wind velocities using the atomic oxygen 557.7-nm and 630.0-nm *** from February 28 to March 3and February 28 to March 15 in 2011 were chosen for case study and mean value study,*** errors of the meridional and zonal winds are 6.5 and 7.5 m/s at 557.7-nm and at 630.0-nm,they are 7.1 and 6.6 m/s,*** the whole experiment,the instrument has performed in good condition and provided high-quality *** mean neutral wind data were consistent with that predicted by *** agreement has been found in between the SFPI and a neighbor Meridian Project Fabry–Perot interferometer(MP FPI),with a corresponding coefficient(r2)larger than 80%.In general,the scanning FPI meets the design goal,and it is a useful ground-based instrument for measuring mesospheric and thermospheric winds at middle latitudes and is able to provide high-quality data for future scientific studies.

摘要：In view of huge search space in drug design, machine learning has become a powerful method to predict the affinity between small molecular drug and targeting protein with the development of artificial intelligence technology. However, various machine learning algorithms including massive different parameters make the prediction framework choice to be quite difficult. In this work, we took a recent drug design competition(from XtalPi company on the DataCastle platform) as the typical case to find the optimized parameters for different machines learning algorithms and the most effective algorithm. After the parameter optimizations, we compared the typical machine learning methods as decision tree(XGBoost, LightGBM) and artificial neural network(MLP, CNN) with root-mean-square error(RMSE) and coefficient of determination(R^2) evaluation. As a result, decision tree is more effective than the neural network as LightGBM>XGBoost>CNN>MLP in the affinity prediction of the specific drug design problem with ～160000 samples. For a much larger screening task in a more complicated drug design study, the sophisticated neural network model may go beyond the decision tree algorithm after generalization enhancing and overfitting reducing. The advanced machine learning methods could extract more information of protein-ligand bindings than traditional ones and improve the screen efficiency of drug design up to 200–1000 times.

摘要：The paper design hardware platform based on network node, and analyze ZigBee protocol architecture and standards of each layer; on based of ZigBee protocol stack, we design the application program of network coordinator and terminal node to realize the data acquisition; design of network system has the characteristics of low cost, small volume, test results show that the mesh topology, network support, can be rapidly deployed, temperature, humidity, light intensity information of the smooth reading environment, that can be used for domestic environmental monitoring field.

摘要：In view of limitalions function, cost and application in domestic meter at present, this paper was designed the low power consumption, low cost smart meters and PC system based on microprocessor MSP430F4794. It supports multi rate, step rate and power factor influence factor of electricity metering method, and can realize the real-time clock, timing backup data, monitoring the temperature and humidity of the environment and other functions, has the ability to forecast the next period of time energy consumption and carbon dioxide emissions of electrical appliances. Combined with the PC software, the backup data of smart meters to report, detailed list, and the data curve method is presented to the user, and facilitate to analysis of user. The whole embedded in smart meters and the host computer system provides a good human-computer interface, can realize the user personalized service configuration and software calibration function.

摘要：聚焦于双曲抛物面薄壳,从地形与环境、结构单元、空间限定和空间序列4个方面,通过图解分析的方式,剖析台湾省东海大学艺术中心,认为这是一个现代主义结构和空间结合的典型案例:不同于其他同类型建筑薄壳特征明显,艺术中心中的薄壳在多个层次若隐若现,取得了结构与空间的平衡。

摘要：随着我国电力体制改革的深化推进,近年来,加快建设全国统一电力市场体系成为热点问题。全国统一电力市场体系以全国统一电力现货市场体系为核心,市场体系的结构设计是对其宏观架构的精细表达,也是市场体系顶层设计的重中之重。该文阐释统一电力现货市场体系的内涵和时间、空间、主体、客体四方面结构的外延。在此基础上,结合电力现货市场绩效评价理论,提出统一电力现货市场体系的空间结构设计、时间结构与客体结构协同细化设计和主体结构设计的理论与方法。针对欧洲统一电力现货市场体系的结构设计进行实证分析,验证理论方法的可行性与有效性。

摘要：计算机辅助药物发现和人工智能驱动药物设计在制药行业中是减少时间和经济成本的重要策略.其中具有代表性的方法包括虚拟筛选、蛋白质-配体相互作用评估、药物药代动力学性质预测以及药物设计.通常来说,虚拟筛选是药物发现的第一步,其主要目标是识别和发现潜在的先导化合物的候选物.在过去的几十年里,已经开发了多种传统的和基于机器学习的方法来提高虚拟筛选的准确性和速度.本综述总结了传统和机器学习方法在基于结构的虚拟筛选中的应用,讨赖性较弱,且分布非常冷并在j=1处达到峰值,但(0,1,0)振动态的转论了它们的性能、优势和局限性等方面.

摘要：Background:Total mesorectum excision(TME)is considered the standard surgical procedure for rectal-cancer *** TME(taTME)is a new procedure to treat low rectal *** published studies have proven that taTME can provide a better-quality resected specimen in low-rectal-cancer patients in comparison to the transabdominal procedure,yet long-term outcomes must be *** designed this non-inferiority trial(TaLaR trial)to compare short-term and long-term outcomes between taTME and laparoscopic TME(lapTME)for rectal ***:The TaLaR trial is a phase III open-labeled multicenter randomized-controlled *** who are diagnosed with rectal cancer with no more than T3N2 stage,and with the tumor location below the peritoneal reflection by magnetic resonance imaging scan,digital rectal examination,or colonoscopy,qualify for this *** calculating,a total of 1,114 patients(557 per group)will be randomly allocated to either the taTME or the lapTME *** endpoints are the 3-year disease-free survival(DFS)rate and the 5-year overall survival(OS)*** endpoints include specimen quality,perioperative results,pelvic and anal function,and quality of ***:The TaLaR trial is expected to clarify whether taTME can achieve comparable oncological outcomes,as well as improve specimen quality and recovery conditions in rectal-cancer patients compared with lapTME.

摘要：如何看待社交机器人的机器人格?以社交机器人小冰为例,采用专家访谈法对技术逻辑视角下机器人格建构展开研究发现:在机器人格的先赋性方面,生产者通过构建人物背景与基本属性进行画像赋予,通过具体语境下海量数据训练进行语料赋予,通过从单一文字到多模态交互呈现进行感官赋予;在机器人格的后致性方面,用户特性主要决定社交机器人的态度和喜好,粗糙的情感标签和算法框架背后需要用户的再加工,机器人格的生成目的是达成可信的人机交互。最后基于机器行为范式对机器人格先赋性与后致性之间关系展开讨论。