is one of the northern mountainous districts of Thai Nguyen province (Vietnam). The district has a lot of potential for tourism development, especially archaeological sites of prehistoric and prehistoric periods such as sites in Than Sa, Hang Oc. The exploitation of archaeological relics in tourism development in Vo Nhai district not only brings socio-economic benefits but also contributes to preserving and promoting the value of the relics. However, at present, the current situation of tourism development at the archaeological sites of Vo Nhai district is not commensurate with the potential. Therefore, the article will analyze the potential and propose some solutions to promote the value of archaeological relics in tourism, contributing to the economic promotion of a mountainous district still facing many difficulties in Thai Nguyen province (Vietnam).

In recent years in Vietnam, educating cultural features through lessons and subjects of history and geography has been paid much attention. This study mainly uses qualitative analysis, synthesis and inductive methods, together with explanatory and dialectical materialism methods. Our research results show that there are many strengths in organizing historical site visiting trips for students to learn more in history and geography subjects, esp. In outside classroom. Khuon Manh forest, Nui Van and Nui Vo in Thai Nguyen cities are good historical places to visit, combined with visualizing teaching methods via pictures, video, doc films and movies can offer our students with attractive lessons and remember our lectures. Or In Ha Giang province, instructors and students can visit King Cat Palace for interesting historical and geographical lessons. Finally, our paper will propose policy implications and recommendations.

Thai Nguyen and Lam Dong provinces are two biggest ares of Vietnam to have tea crops planting. Farmers produce various tea products and among them, Green tea contains polyphenols and catechins as well as caffeine, but green tea has less caffeine than coffee, and many extracts are decaffeinated. Our research goal is to find out real situation of tea planting in Vietnam in the concept of sustainable agricultural development in Vietnam and recommendations and marketing 4P solutions for agriculture and tea products, with the using of both qualitative analysis and regression -quantitative model in order to identify barriers for tea crops and planting as well as management issues of agricultural value chain. Research results show us that CPI and R (lending rate) and Risk free rate (Rfj have negative correlation with tea export price, while GDP growth has positive impacts. Next, the State plays an important role in supporting and promoting contractual linkages. Government policies must hold farmers and businesses accountable for the performance of the contract. In Vietnam, with a still agricultural fragmented, backward, the link between farmers and businesses is still loose, the determination of The right direction and support of the Government will create a great impetus to promote development economic links between businesses and farmers. Our research limitation is that we can expand for other crops, industries and markets as well.

In this paper, Iterative Learning Control (ILC) combined with a Proportional Derivative (PD) regulator is proposed to deal with the problem of designing a control signal for motion control systems. The main idea in iterative learning control is to gradually improve the performance of the system by exploiting data from the previous iterations. The learning control algorithm can obtain a better tracking control performance for the next run and hence outperforms conventional control approaches such as Proportional Integral Derivative (PID) controller and feedforward control. The main area of application for ILC is control of industrial robots and CNC machine tool, printing, and other industrial applications. The learning algorithms can also be used in combination with other control techniques. For example, learning feedforward control is designed in the first iteration. Then iterative learning control is applied to improve performance in the subsequent iterations. In addition, the conventional feedback regulator is designed in combination with iterative control to deal with uncertainty. Simulation results demonstrate the potential benefits, sensitivity and robustness of the proposed method.

Context: Mercaptopurine is known as an effective anti-cancerous medicine yet with serious adverse reactions, thus requiring further attempts to enhance its biological targeting. Small gold clusters Aun with n = 2-10 were used as model reactants to simulate the surface of gold nanoparticles. The computed results show that the drug molecules tend to anchor on the gold clusters at the S atom with the associated binding energies varying from -50 to -34 kcal.mol-1 (in vacuum) and from -42 to -28 kcal.mol-1 (in aqueous solution). Furthermore, the adsorption of the drug onto the gold surface is considered as a reversible process and the mechanism of drug releasing was found to be triggerable by internal factors, such as a pH change or the concentrated presence of thiol amino acids in cancerous protein structures. Method: Calculations based on density functional theory (DFT) were performed to probe the nature of interactions between the drug and gold nanoparticles. Structural features, thermodynamic parameters, bonding characteristics, and electronic properties of the resulting complexes were investigated at the PBE//cc-pVTZ/cc-pVDZ-PP level.