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With the rapid development of online e-commerce, traditional collaborative filtering algorithms have the disadvantages of data set reduction and sparse matrix filling cannot meet the requirements of users. This paper takes handicrafts as an example to propose the design and application of handicraft recommendation system based on an improved hybrid algorithm. Based on the theory of e-commerce system, through the traditional collaborative filtering algorithm of users, the personalized e-commerce system of hybrid algorithm is designed and analyzed. The personalized e-commerce system based on hybrid algorithm is further proposed. The component model of the business recommendation system and the specific steps of the improved hybrid algorithm based on user information are given. Finally, an experimental analysis of the improved hybrid algorithm is carried out. The results show that the algorithm can effectively improve the effectiveness and exemption of recommending handicrafts. What’s more, it can reduce the user item ratings of candidate set and improve accuracy of the forecast recommendation.

Bioinformatics in Communicable Diseases – The Way Forward.

Hitting the Bull's Eye with Biopharmaceuticals.

Silkworms Give Spider Silk New Spin.

ÄKTA Avant: Icon of Process Development.

JEM-2100 — The Nanoanalysis Expert.

BG Medicine announces agreement with Kindstar Diagnostics which will provide Galectin-3 testing services in China.

MicuRx lands $9.6 Million to fund China trials of antibiotic.

AstraZeneca and Ironwood announce linaclotide collaboration for China.

BGI-Shenzhen extends tender offer for Complete Genomics, Inc.

China Cord Blood Corporation continues share repurchase program.

NCKU, Science Park join hands to boost academia-industry collaboration.

Pharmaron forms strategic partnership with AstraZeneca to accelerate drug discovery.

Regulatory mechanisms of an acid-activated type VI secretion system in Agrobacterium tumefaciens.

Seasonal plasticity of peripheral auditory sensitivity associated with vocal communication in frog.

Malaysian Bio-XCell Sdn Bhd seals a deal exceeding US$35 (~RM107m) with Agila Biotech Sdn Bhd during BioPharma Asia 2013.

Nagasaki University and Astellas launch collaborative research for screening new anti-dengue virus drugs for neglected tropical diseases.

Eurofins collaborates with AB SCIEX and Phenomenex to improve analysis of animal feed.

Biolife Science $5m ASX listing to progress stomach & breast cancer vaccine.

Naz Haji appointed Chief Information Officer, Quintiles Asia markets.

Roche and BioLamina start collaboration to develop novel cell culture systems.

Energy consumption is important to consume less power, reducing toxic fumes released by plants, preserving natural resources, and protecting ecosystems against damage. The challenging characteristics in energy supply include lack of renewable energy adoption, and policy and energy management are 0considered essential factors. An artificial intelligent building with a multi-energy planning method (AIBMEM) has been proposed to design multi-energy systems to achieve the best policy and energy management techniques. The intelligent construction problem with multi-energy is framed as a predictive energy model to minimize the overall utilization of energy levels. The normal distribution with the artificial intelligent model is introduced to solve the problem of renewable energy. The experimental results based on reliability, effectiveness, preservation, energy consumption, and control systems show that the suggested model is better than existing models, producing good performance analysis results.

When we do usual Computation in Science, especially in Metrology, we assume that we do Mathematics. This is only partly true in spite of the fact that database handling and data processing are most important indeed. The field of Measurement plus Observation is much more entangled with Mathematics. The following survey “Metrology and Mathematics” will focus on selected ideas, concepts, rules, models, and structures, each of which is of a basic mathematical nature. When doing this, it is not surprising at all that most theoretical and applicational requirements in the field can be reduced to just a few basic logical and mathematical structures. This is also true for complex processes in fields like humanity and society. Signal and System Theory (SST) supports this claim. However, such an endeavour asks for an orderly and consistent definition of quantities and processes and of their mathematical models, called signals and systems. These models represent all kinds of issues, items, and phenomena in the real world. The term model indicates the superordinate means of mathematical description, observation, and representation in Science and Technology. The question arises, what the role of Logic and Mathematics looks like in detail. The term structure will be consistently pivotal. And, as is generally known, structures are best visualised by graphical means, here called Signal Relation Graphs (SRG).

The Internet of Things is a new type of technical system combining various types of information technology, the application of Internet of Things in agriculture meets the requirement of modern agriculture development and represents the orientation of future agriculture. In this article the Internet of Things system in agriculture is analyzed according to its systematic structure including its perception level, transmission level and application level and perception level, the sensor is the core of this level, multidimensional agricultural information can be obtained by advanced technology such as sensing and remote sensing about crops, soil and environment etc. The transmission level consists of wireless transmission network combing wireless transmission methods such as Zigbee, GPRS, WIFI and Bluetooth and network technology. The application level involves in intelligent management of agriculture including multi-dimensional information integration, intelligent decision and automatic control. The orientation of research and development is shown for the Internet of Things system in agriculture in this article. Its development will bring a brand-new reform for modern agriculture and realize agricultural automation and intellectualization.

Firstly, the theory and techniques of the CET4 Diagnostic Practice System were analyzed. Secondly, the architecture and development mode of the system has been determined and the main functional modules has been designed detailedly. Last, the implementation of system architecture has been elaborated on the basis of the development environment and tools. This system is a kind of deep practice and innovation on CET-4, aimed at learners can receive personalized learning guidance and targeted diagnostic evaluation according to their characteristics, thus improving the standard of English learners and learning ability, so it has a wide range of prospect and practical value.