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AbstractThis research investigates how a discrete positive emotion (awe) impacts consumers' decisions on food choices. We probe and demonstrate that the experience of awe enhances consumer preferences for healthy versus unhealthy products. In a series of three studies, we find that awe, compared with a neutral emotion, increases consumers' likelihood to choose healthy products over unhealthy products (Study 1). Consumers' processing styles drive the observed awe effect (Study 2), whereby awe increases reliance on analytic processing, which leads to preferences for healthy products. Moreover, the experience of awe exerts a stronger influence on product choices among consumers with a chronic intuitive rather than analytic processing style (Study 3). Theoretical contributions to the research on awe, information processing, and healthy food preference, as well as practical implications for consumers and marketers, are discussed.

Many studies have investigated mothers' impact on students' achievement, yet little is known about how various father types impact students' school performance. This study examines 6 mutually exclusive categories of father type: resident biological fathers, resident stepfathers, resident adoptive fathers, non­resident biological fathers, unknown biological fathers, and deceased fathers. Adolescents' school performance from seventh through twelfth grade is examined using data from 3 waves of the National Longitudinal Study of Adolescent Health (Add Health), a nationally representative United States secondary data source. Findings indicate different types of fathers have distinct and independent positive associations with adolescents' school achievement, after controlling for mother involvement. Adolescents with resident biological fathers had higher school performance than adolescents with nonresident fathers. Adolescents with stepfathers had higher rates of school failure than their peers living with their biological parents. The lowest achievement and the highest risk of school failure and course failure were experienced by those adolescents who did not have a resident father figure and didn't know the identity of their fathers. Implications include the need to model for the unique influence of father involvement and father type on academic achievement, and the inclusion of unique family contexts in efforts to increase adolescents' school involvement and integration.

ABSTRACTIn this article we consider operational risk and use data analytics to estimate the credit portfolio risk. Specifically, we consider situations in which managers need to make the optimal operational decision on total provision for risk to hedge against the potential risk in the entire supply chain. We build a new structural credit model integrated with data analytics to analyze the joint default risk of credit portfolio. Our model enables the decision maker to better assess the risk of a supply chain, so that they could determine the optimal operational decisions with total provision for risk, and react in a timely manner to economic and environmental changes. We propose an efficient simulation method to estimate the default probability of the credit portfolio with the risk factors having the multivariate t‐copula. Moreover, we develop a three‐step importance sampling (IS) method for the t‐copula credit portfolio risk measurement model to achieve an accurate estimation of the tail probability of the credit portfolio loss distribution. We apply the Levenberg–Marquardt algorithm to estimate the mean‐shift vector of the systematic risk factors after the probability measure change. Besides, we empirically examine the changes in the credit portfolio risks of 60 listed Chinese firms in different industries using our proposed method. The results show that our model can help the decision maker make the optimal operational decisions with total provision for risk, which hedges against the potential risk in the entire supply chain.

Abstract
Background
The weak magnetic field (WMF) can enhance the ability to remove target pollutants in wastewater, which drives us to consider whether WMF could give rise to the hormesis or not. In our previous study, it was found that polymyxin B sulfate (POL) can induce weak hormesis on Vibrio qinghaiensis sp.-Q67 (Q67). To this end, we set up four different WMF treatments during Q67 culture and POL exposure process, having no WMF in all cases (NW), adding WMF all the time (AW), exerting WMF only during the bacterial culture (BW), and exerting WMF only in POL exposure period (EW).

Results
It was shown that the concentration–response curves (CRCs) of POL in four WMF treatments at the exposure times of 6, 9, and 12 h are non-monotonic hormetic curves where the maximum stimulative effects (Emin) of POL in BW and EW are obviously larger than those in AW and NW. The maximum Emin is 26.8% occurring in EW and 20.7% in BW at 6 h, while the max Emin is 14.6% in NW at 9 h, it means that stimulations of POL in BW and EW are earlier and stronger than those in NW. These findings first indicated that WMF can enhance the hormesis of POL.

Conclusions
This study showed that WMF as a key factor may influence the maximum stimulation effect of hormesis. The characteristic of biphasic (hormetic effect) challenges the traditional classical threshold model that is close to chemical risk assessment. But the mechanism of hormesis even now is inconclusive. WMF as a novelty and neglected factor has the potential to support the further development of hormesis mechanism.

BACKGROUND: The use of mobile phone significantly improved the outcomes of tobacco cessation. However, its feasibility and acceptability were unclear in the Chinese population. This study was to explore the feasibility of using Wi-Fi access points (APs) as a platform to provide smoking cessation help at 17 airports and 38 railway stations across China. METHODS: This study was divided into two stages: platform development and population survey. In the first stage, a survey platform was developed and incorporated into Wi-Fi service at airports and railway stations, which could provide survey content as a pop-up window when participants tried to access the Wi-Fi service. In the second stage, a population survey was conducted to explore the intention to receive tobacco cessation support. RESULTS: A total of 20,199 users participated and 13,628 users submitted the survey, with a response rate of 67.47%. The smoking rate was 30.9%. A total of 86.58% of smoking participants and 2.44% of non-smoking participants wished to receive tobacco cessation support, respectively. The multivariate analysis showed intention to receive support did not differ in age, gender, and heaviness of smoking (P > 0.05). CONCLUSION: Providing tobacco cessation support via Wi-Fi APs is feasible and efficient, and smokers have high intention to receive tobacco cessation support. It is suggested hospitals, academia, information technology industries, and government agencies must work together to provide tobacco cessation support via mHealth.

Abstract
Background
One of the major challenges in environmental science is how to assess the toxicity and risk of complex pollutant mixtures. However, only a few studies have pointed out that there is a significant difference between the toxicities of chemicals on genetically modified strains and wild-type organisms and there are few reports of the differences in the toxicity of chemical mixtures. Therefore, six chemicals, two substituted phenols (4-chlorophenol and 4-nitrophenol), two pesticides (dichlorvos and glyphosate) and two ionic liquids (1-butylpyridinium chloride and 1-butylpyridinium bromide), were selected to construct a six-component mixture system, the lethality of various mixtures on the genetically modified Caenorhabditis elegans strain mtl-2::GFP (MTL-2) at 12 and 24 h were determined, and differences in toxicity to other strains were compared.

Results
Although the toxicity of 4-chlorophenol on MTL-2 was not significantly different from that on N2 wild-type Caenorhabditis elegans (N2), the toxicities of the other five chemicals on MTL-2 were greater than those on N2. The toxicities of six single chemicals and nine mixture rays on MTL-2 increased with time, which is consistent with the effect on N2 and on the genetically modified strain sod-3::GFP Caenorhabditis elegans (SOD-3). The toxicological interactions of various mixtures in MTL-2 at 12 h were half antagonistic (ANT) and half additive (ADD), while at 24 h, they were mainly synergistic (SYN). The toxicological interactions of various mixtures in MTL-2 change from ANT/ADD to primarily SYN with time, which is different from the change from ANT to ADD in SOD-3 and from SYN to ADD in N2.

Conclusions
The toxicity and toxicity interactions of chemical mixtures on different Caenorhabditis elegans strains are different. Therefore, it is necessary to examine the effect of genetic factors on the toxicological interaction of mixtures to avoid underestimating or overestimating the mixture risk.