Effect of Precipitation on Location Choice of Foreign Direct Investment in China

This paper studies the effect of precipitation on the location of foreign direct investment (FDI) based on city-level data of China from 2003 to 2018. The results show that precipitation has a significant promoting effect on the regional agglomeration of FDI. This indicates that FDI location selection is more inclined to use the dilution ability of precipitation for pollution to reduce environmental costs, rather than relying solely on water resources. Further analysis shows that the preference of FDI enterprises on precipitation in the eastern region is significantly lower than that in the central and northeastern regions. This reflects the trend that FDI enterprises gradually shift to regions with a low degree of environmental regulation to reduce environmental costs. Therefore, the efforts made by economically developed cities to improve the regional ecological environment may be offset by the location adjustment of FDI enterprises, and precipitation has become an important stimulus for the location transfer of FDI enterprises.

Strategies for Goat Feeding and Management during Drought

Nowadays, climate change is becoming a serious problem threatening livestock production by affecting their environment, health, and feed sources. Many parts of the tropical countries, particularly the pastoralist area, experience extended periods of drought, leading to shortages of feed and water. During these periods, goats are incapable of meeting their nutrient requirement for maintenance and will begin to lose weight as body reserves are depleted, causing economic loss to the goats. In the extremely long dry season, animals die, with the youngest, weakest, and oldest dying first. As a result, drought management entails balancing pasture and water supply against forage and water demand. In most cases, no single strategy will suffice to address this issue. Each situation would need a different set of strategies Therefore, this chapter will come with some common options/ strategies that can be avail feed shortage during drought. Those strategies are purchase of feed from surplus location, adjustment of animal management, policy intervention, destocking, adjusting grazing strategies during drought, supplementation, maintenance feeding, reallocation of a given amount of feed in the herd, early weaning and creep feeding, lowering stocking rate, water sources and supplies, development and effective utilization of feed resources, and creation of feed banks.

A bionic noise reduction strategy on the trailing edge of NACA0018 based on the central composite design method

New innovative approaches to reduce noise are of great significance in engineering. Taking the typical NACA0018 airfoil as the study target, the serrated treatment of the trailing edge is carried out with the bionic noise reduction technology. To boost the design efficiency and clarify the distributing laws between the design parameters and the noise performances, a special investigation about optimizing the NACA0018 airfoil’s serrated trailing edge is implemented here. Firstly, a united parametric approach to represent various design schemes is proposed. Then, with the integration of the Computational Fluid Dynamics/Computational Acoustics analysis, Central Composite Design, and the Respond Surface Method, a bionic noise reduction strategy is established. The findings can be gotten as: taking into account the existence of the casing or wall near the span-end of the airfoil, the newly defined install location adjustment factor has an influence on the reduction noise, and the install location adjustment factor mainly affects the near-wall flow field of the serrated trailing edge; the optimal design scheme is obtained successfully, which can reduce the overall sound pressure level by about 2 dB in relative to the target; through the mechanism analysis of noise reduction, it can be found that the serrated trailing edge can suppress the development of the laminar separation bubbles, so the noise is reduced.

Autonomous Vehicle Application for Improving Traffic Sign Learning near Ramps

The state-of-the-art traffic sign recognition (TSR) algorithms are designed to recognize the textual information of a traffic sign at over 95% accuracy. Even though, they are still not ready for complex roadworks near ramps. In real-world applications, when the vehicles are running on the freeway, they may misdetect the traffic signs for the ramp, which will become inaccurate feedback to the autonomous driving applications and result in unexpected speed reduction. The misdetection problems have drawn minimal attention in recent TSR studies. In this paper, it is proposed that the existing TSR studies should transform from the point-based sign recognition to path-based sign learning. In the proposed pipeline, the confidence of the TSR observations from normal vehicles can be increased by clustering and location adjustment. A supervised learning model is employed to classify the clustered learned signs and complement their path information. Test drives are conducted in 12 European countries to calibrate the models and validate the path information of the learned sign. After model implementation, the path accuracy over 1,000 learned signs can be increased from 75.04% to 89.80%. This study proves the necessity of the path-based TSR studies near freeway ramps and the proposed pipeline demonstrates a good utility and broad applicability for sensor-based autonomous vehicle applications.

A LOCATION VALUE RESPONSE SURFACE MODEL FOR MASS APPRAISING: AN “ITERATIVE” LOCATION ADJUSTMENT FACTOR IN BARI, ITALY

The work is focused on a new model of mass appraising including location variable. A location adjustment factor derived from a mathematical iteration was compared to the location adjustment factor based on geostatistical techniques. The work compares three different linear MRA models. The first one uses the location blind linear MRA. The second integrates the linear MRA with a location adjustment factor calculated using spatial interpolation. The second alternative is an application of Location Value Response Surface Models (O'Connor, 1982). It represents the first application of these models for mass appraising in Italy. The third approach introduces the Iterative Location Adjustment Factor. This is a factor which measure the influence of location derived from a mathematical iteration. Empirical results seem to prove the validity of Iterative Location Adjustment Factors in specific context with few observations. Santruka Darbe nagrinejamas naujas masinio turto vertinimo modelis, apimantis geografines padeties kintamaji. Iteraciniu būdu apskaičiuotas geografines padeties korekcijos veiksnys palygintas su geografines padeties korekcijos veiksniu, gautu taikant geostatistinius metodus. darbe lyginami trys skirtingi tiesiniai mrA modeliai. Pirmajame naudojamas geografines padeties nevertinantis tiesinis MRA. Antrajame tiesinis MRA sujungiamas su geografines padeties korekcijos veiksniu, apskaičiuotu pasitelkus erdvine interpoliacija. Antrojoje alternatyvoje pritaikomi geografines padeties vertes stebimojo paviršiaus (angl. Location Value Response Surface) modeliai (O'Connor 1982). Italijoje šie modeliai masiniam turto vertinimui naudojami pirma karta. Trečiojoje alternatyvoje taikomas iteracinis geografines padeties korekcijos veiksnys. Jis ivertina geografines padeties itaka, nustatyta iteraciniu būdu. Empiriniai rezultatai, regis, irodo iteraciniu geografines padeties korekcijos veiksniu pagristuma konkrečiame kontekste, kai stebejimu yra mažai.