Characteristics and Performance of Novel Water-Absorbent Slow Release Nitrogen Fertilizers

In this article, a research on the characteristics and performance of water-absorbent slow release nitrogen fertilizer （WASRNF） using infrared spectroscopy （IR）, scanning electronic microscopy （SEM）, differential scanning calorimetry （DSC）, and thermogravimetry analysis （TGA）, was present. The results indicate that the water absorbency and nitrogen analysis of WASRNF is 103 g g^-1 and 30%, respectively, and WASRNF exhibits approximately neutral pH and very low salt index. WASRNF is a copolymer of nitrogen fertilizer and super absorbent polymer （SAP） monomers which is formed through hydrogen bond interaction, and the molecule contains hydrophilic groups, which is responsible for the absorption and water retention capacity of the molecule. WASRNF is a gel that exhibits the ability to swell, but does not dissolve in water. WASRNF shows non-homogenous nature as a whole, but in local zone it is homogenous, the copolymer molecule shows chain network that is the physical structure responsible for absorption and retention of water in WASRNF. The water retained in WASRNF exists as free and nonfreezing bound and freezing bound water states, with the free and the nonfreezing water accounting for more than 95% of water retained in WASRNF, and the nonfreezing bound water for less than 5%. WASRNF functions in delaying the release of nitrogen from it, thereby serving a novel slow release nitrogenous fertilizer.

A heterogeneous boundedly rational expectation model for housing market

This research aims to test the housing price dynamics when considering heterogeneous boundedly rational expectations such as naive expectation, adaptive expectation and biased belief. The housing market is investigated as an evolutionary system with heterogeneous and competing expectations. The results show that the dynamics of the expected housing price varies substantially when heterogeneous expectations are considered together with some other endogenous factors. Simulation results explain some stylized phenomena such as equilibrium or oscillation, convergence or divergence, and over-shooting or under-shooting. Furthermore, the results suggest that variation of the proportion of groups of agents is basically dependent on the selected strategies. It also indicates that control policies should be chosen carefully in consistence with a unique real estate market during a unique period since certain parameter portfolio may increase or suppress oscillation.

Meteorological Sensor Data Storage Mechanism Based on TimescaleDB and Kafka

The scale of meteorological sensor data increases at TB level every week. Traditional relational database is inefficient in storing and processing such data and cannot satisfy many soft requirements. However, the heterogeneity and diversity of the numerous existing NoSQL systems impede the well-informed comparison and selection of a data store appropriate for a given application context. Implementing a meteorological sensor data storage mechanism is a key challenge. Therefore, a meteorological sensor data storage mechanism based on TimescaleDB and Kafka is proposed. In this solution, meteorological sensor data was acquired and transmitted by Kafka and was sent to TimescaleDB for storage and analysis. Based on simulated meteorological sensor dataset, it compared the solution with other NoSQL stores such as Redis, MongoDB, Cassandra, HBase and Riak TS. The experimental results show that the storage mechanism proposed is superior in the storage and processing of massive meteorological sensor data.

Designing Logistic Information Platform to Fostering Development Trend in China Automobile Manufacturing Group

The logistics resource in China's automobile group can't be optimized and allocated because of the "information island" problem in the group's logistics information platform in the whole group. In addition,it is the development trend of China's automobile group LIN to build a logistics e-market in the range of the group.