At the present time, consumers often disclose their privacy when using online platforms to receive personalized recommendation information and services, but they are also highly concerned whether their privacy is being violated. “Privacy paradox” is becoming a hot topic of research. What are the potential impacts of individual cognitive differences and situational cues on privacy decision-making? How to balance the internal causes of the “privacy paradox” so that consumers are more willing to accept personalized recommendation services based on users’ privacy data? Can the transparency of privacy rights ease user conflict perceptions and promote disclosure intentions? These questions are inconclusive. Therefore, the purpose of this our research was to explore consumer privacy paradoxical behaviors from a novel perspective of the characteristics of authorization cues, and to clarify the internal relationship between individual cognitive processing and privacy authorization cues. This study suggests that the big data platform, when collecting or using user information, should try to reduce the behaviors that induce users’ resistance. It also provides a reference for how to better achieve benign interaction in personalized recommendation between Internet companies and users. The event-related potential technique is adopted to explore the matching relationship between individual cognitive processing and privacy authorization cues and to analyze the internal neural mechanism of the personalized recommendation user in the authorization decision. The experiment simulated the privacy authorization situation, and adopted a 2 × 2 × 2 hybrid experimental design: authority sensitivity (high/low) * authorization transparency (with/without permission) * cognitive style (field dependent/field independent). The experimental results show that: (1) Authorization transparency, authority sensitivity and their interactions will affect the user’s privacy authorization behaviors, and the interaction of the two cues has a greater impact on the behavior than the role of a single cue; (2) The cognitive style will affect the individual’s attention resource allocation in the authorization scenario, which, limited by cognitive resources, will result in selective attention to contextual cues: Compared with the field-independent group with self-characterization as a reference, the field-dependent group induced a greater P2 amplitude; (3) When the two-cue valences in the authoritative scenario are inconsistent, the amplitude of the N2 component is greater than that when the valences are consistent, and the amplitude of the N2 induced by the field-dependent group is more affected by the scenario cue valence; (4) Regardless of whether it is a field-dependent group or a field-independent group, there is no salient difference in the amplitude of LPP components induced in each scenario. According to the results of this study, even if privacy authorization involves high risks, individuals tend to selectively seek supportive cues or avoid obtaining information that is inconsistent with their cognition. This research reveals the differences of neural mechanisms in users’ actual decision-making, provides the possibility for further exploration of the black box behind users’ attitudes and behaviors, and opens up new ideas for the study of the “privacy paradox.”

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For the agricultural land contaminated by heavy metal and thus not suitable for growing food crops, combining green crops with phytoremediation technology can provide more green energy crops and implement the soil remediation through a more economic green remediation method. This study selected three crops, which are rich in biomass energy and are suitable to grow in the climatic conditions of Taiwan, namely corn, soybean and peanut, for Pb-contaminated soil situ vegetation planting tests. The results show that the production of biomass by corn was the highest and each plant could produce 1248 g on average, followed by peanut with the average 470.2 g, soybean only 17.6 g. Regarding Pb absorption capacity, each corn could absorb 87.1 mg; peanut 125.3 mg; and soybean only 5.9 mg. Soybean is not feasible because the low biomass production and the total Pb absorption are far lower than those of corn and peanut.

Lead is a common pollutant found in soil. The characteristics of lead contaminated soil may vary depending on various sources of lead pollutants and different soils. In this research, samples were collected from soils contaminated by lead of different sources including discarded slag, lead smelting plant and gunnery firing range for conducting characteristic analyses. The samples were also subject to washing using seven different cleaning agents including acids such as HNO3 and HCl, cationic exchangers such as AlCl3, FeCl3, CaCl2 and MgCl2, as well chelating agent such as EDTA-4Na to study the efficiency of these agents of removing leads of various bindings in the contaminated soil. The results show that he most effective cleaning agents are HNO3, HCl, and EDTA-4Na, FeCl3 and AlCl3 for the exchangeable fraction of lead, HNO3, HCl and FeCl3 for carbonate bond fraction of lead, HNO3, HCl followed by EDTA-4Na and FeCl3 for Fe-Mn oxides bond fraction of lead; HNO3, HCl and FeCl3 for the organic bond fraction lead and HCl for the residual fraction of lead.

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