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Technology acquisitions are one of the most common growth strategies for firms. Firms that have made multiple acquisitions in the past are more likely to make new ones. With previous M&A experience, firms are more likely to make acquisitions. The acquisition rate is the total number of acquisitions a firm has made at a given time. In technology acquisition, the acquisition rate affects innovative firm performance. The more frequent acquisitions a firm makes, the less innovative performance will occur. A high acquisition rate negatively affects post-acquisition performance by dominating the attention of decision-makers and overloading the firm. During the process, there needs to be structural integration between the acquirer and the target firm. This study empirically analyzes 380 cases of technology acquisitions of U.S. publicly traded companies from 1990 to 2005. The results show that a high acquisition rate is negatively related to the post-acquisition innovation performance of the acquirer. Although structural integration has no impact on the negative relationship between post-acquisition performance and acquisition rate, considering the acquisition rate when pursuing M&A allows acquiring firms to avoid detrimental consequences. [ABSTRACT FROM AUTHOR]

Technology acquisitions are one of the most common growth strategies for firms. Firms that have made multiple acquisitions in the past are more likely to make new ones. With previous M&A experience, firms are more likely to make acquisitions. The acquisition rate is the total number of acquisitions a firm has made at a given time. In technology acquisition, the acquisition rate affects innovative firm performance. The more frequent acquisitions a firm makes, the less innovative performance will occur. A high acquisition rate negatively affects post-acquisition performance by dominating the attention of decision-makers and overloading the firm. During the process, there needs to be structural integration between the acquirer and the target firm. This study empirically analyzes 380 cases of technology acquisitions of U.S. publicly traded companies from 1990 to 2005. The results show that a high acquisition rate is negatively related to the post-acquisition innovation performance of the acquirer. Although structural integration has no impact on the negative relationship between post-acquisition performance and acquisition rate, considering the acquisition rate when pursuing M&A allows acquiring firms to avoid detrimental consequences.

Based on the data from the mobile wind profile radar (MWPR) at Baoshan of Shanghai from July 2018 to June 2019, we have evaluated and analyzed the performance of MWPR in terms of acquisition rate, horizontal wind error and the reliability of wind data under six typical weather conditions. The main results are as follow. (1) The acquisition rate is most affected by turbulence intensity, followed by atmospheric temperature and humidity. It is obviously characterized by diurnal and seasonal variations. In the boundary layer, the acquisition rate in summer and autumn is higher than that in winter and spring. It also features high acquisition rate in afternoon and low acquisition rate in late night and early morning. In free atmosphere, the acquisition rate in winter and spring is higher than that in summer and autumn. Taking the acquisition rate of 80% as the operation admittance standards, the acquisition rate of MWPR within boundary layer reaches the standard. (2) Comparing with L-band radiosonde, the horizontal wind speeds detected by MWPR in all layers are relatively low. In low mode, 34.4% of the horizontal wind speed data are in the range of 2.0 m·s-1 to 6.0 m·s-1 lower. The wind direction deviation data which exceeds ±15åccounts for 48.9% of all the horizontal wind direction data. (3) Qualitative analysis shows that the directivity of vertical velocity detected by MWPR is reasonable. During heavy rainfall, the vertical velocity detected by MWPR is actually the sum of the falling velocity of precipitation particles and atmospheric turbulence velocity. The reliability of horizontal wind data from MWPR is highin typhoon, snowy and other weather days with the characteristic of strong atmospheric homogeneity. On the whole, MWPR can basically meet the needs of daily meteorological monitoring and services in terms of detection performance, but there still lies a certain gap between its wind measurement accuracy and operation admittance standards.

Purpose: To assess the acquisition rate and agreement of axial length (AL) measurements with the OA-2000, Anterion, and IOLMaster 500 in cataractous patients. Methods: In total, 298 eyes of 191 cataractous patients were enrolled and scanned with the three devices in random order. The success rate of AL measurements per device was calculated and a chi-square test was utilized to identify the differences in acquisition rate between the three devices. Logistic regression analysis was applied to evaluate the association of different cataract types and severity with the AL measurement acquisition rate. Bland–Altman plots were mapped to appraise the agreement of AL values. Results: AL measurements were successfully achieved in 288 eyes (96.64%) with the OA-2000, in 282 eyes (94.30%) with the Anteiron, and in 246 eyes (82.55%) with the IOLMaster 500. Significant differences in the acquisition rate were found between either of the SS-OCT devices and IOLMaster 500 by chi-square analysis (P < 0.001). No significant difference was noted between OA-2000 and Anterion. Increasing severity of posterior subcapsular cataract was associated with a higher failure rate with the IOLMaster 500. Bland–Altman analysis identified good agreement between the three biometers with narrow 95% limits of agreement. Conclusions: The OA-2000 and Anterion showed similarly higher acquisition rate of AL measurements than IOLMaster 500 in cataractous patients. Good agreement for AL values was found between the three biometers in cataractous patients. [ABSTRACT FROM AUTHOR]