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Abstract In 2019 e-commerce market become one of the most important part to push the global economic growth especially in China and US. In 2020 Covid-19 has widely spread around the world which caused a severe economic crisis, but e-commerce market has gained benefit from it. In this study will discuss how e-commerce will perform in future and how e-commerce reacts and defend in this crisis. This study used method of discounted cash flow to track the fundamental information of EC market as representative of Alibaba and Amazon, also used event study method to test influence of COVID-19 in the whole industry

The objective of this study was to determine the effects of feeding endophyte-infected tall fescue seed to Angus steers on average daily gain, carcass characteristics, ergovaline concentration, lipid oxidation, hepatic enzyme activity, metmyoglobin reductase activity, and mitochondrial lipid composition. Animals were blocked into light, medium, and heavy body weight groups and were randomly assigned to either a KY31 seed treatment (6796 ppb ergovaline; 20 MUg/kg BW; E+; n = 6) or a KY32 control (< 100 ppb; E-; n = 6). There was a 2-way treatment × time interaction effect on ADG (P < 0.001). The E+ steers gained 0.56 kg/d less than the E- steers from d 0 to 14 (P < 0.001) until d 56 (ADG difference = 0.27 kg/d; P = 0.007) but both group had similar ADG from d 70 till the end of the feeding period 2 (ADG = 0.53 kg/d; P > 0.070). No difference in carcass characteristics were found between the E+ and E- steers by at the time of ultrasonography (P >= 0.120) or at harvest (P >= 0.199). In both period 1 and 2, there was a 2-way treatment × time interaction for ergovaline concentration in blood (P = 0.002 and 0.022, respectively). Infected tall fescue seed did not change d-3 hepatic enzyme activity in both feeding periods (P = 0.149 to 0.645). In period 1, thiobarbituric acid reactive substances, primarily consisting of malondialdehyde (MDA), were greater in blood serum of E+ steers than E- steers (6.56 MUM vs. 2.56 MUM; P = 0.048). An overall increase in MDA from d 0 (2.39 MUM) to d 3 (7.59 MUM) was also observed (P = 0.049). There was no effect of endophyte infected tall fescue seed on metmyoglobin reductase in longissimus thoracis (4.82 MUM/min/g in E- muscle vs. 3.93 MUM/min/g in E+ muscle; P = 0.484. There was no treatment effect on mitochondrial lipid composition (P >= 0.094), including phospholipids and fatty acids.

The projected and current adoption rates of electric vehicles are increasing. Since electric vehicles require that they be recharged continually over time, the energy needs to support them is immense and growing. Given existing infrastructure is insufficient to supply the projected energy needs, models are necessary to help decision makers plan for how to best expand the power grid to meet this need. A successful power grid expansion is one that enables charging stations to service the electric vehicle community. Thus, plans for power expansion need to be coordinated between the power grid and charging station investors. The infrastructure for the charging stations has to also be resilient and reliable to absorb this increase in load. Charging stations therefore should be included in the plans for post power disruption planning. In this work, two two-stage stochastic programming models are developed that can be used to determine a power grid expansion plan that sup- ports the energy needs, or load, from an uncertain set of electric vehicles geographically dispersed over a region. Another three-stage stochastic programming model is presented, where the decisions are made first to select which charging stations to install and expand uninterruptible power supply units and renewable energy sources. Then, when the disrup- tion occurs in the second-stage, repairs in power system and charging stations take place ahead of the arrival of panicked population to prepare for the expected surge in power de- mand. Finally, as demand is unveiled, managerial and operational decisions at the charging stations are made in the third-stage. To solve the mathematical models, we utilize hybrid approaches which mainly make use of Sample Average Approximation and Progressive Hedging algorithm. To validate the proposed model and gain key insights, we perform computational experiments using realistic data representing the Washington, DC area. Our computational results indicate the robustness of the proposed algorithm while providing a number of managerial insights to the decision makers.

Incremental gains in productivity from new forages are likely to be very small in developed countries like the USA where forage research is highly advanced, thus animals must be used in determining their value. Three experiments were conducted. Experiment I evaluated grazing preference of cattle and its relationship with morphological and chemical characteristics. Treatments were two diploid cultivars ‘Marshall’ and ‘Gulf’ and two tetraploid cultivars ‘Maximus’ and ‘Nelson’ arranged in a 4 × 4 Latin square design experiment. Animal preference was based on herbage disappearance, the Chesson-Manly index, and animal grazing time. Both herbage disappearance (1400 vs. 890 kg ha-1) and Chesson-Manly index (8.1 vs. 5.8%) were greater for tetraploid than diploid cultivars. Experiment II quantified forage and animal response of a tetraploid (Maximus) vs. a diploid (Marshall) annual ryegrass. Three stocking rates (SR), 3.75, 5, or 7.5 animals ha-1, were imposed on the two cultivars in a 3 × 2 factorial of a CRD experiment with two replications. Angus cross-bred heifers (initial BW = 240 kg) were used. There was no cultivar effect or any interactions on ADG or herbage mass (HM). Both ADG (1.22 kg d-1 at low SR to 0.98 kg d-1 at high SR) and HM (3.8 Mg ha-1 at low SR to 2.5 Mg ha-1 at high SR) had a linear response to SR. Experiment III quantified forage production, morphological characteristics, and nutritive value between a tetraploid (Maximus) vs. a diploid (Marshall) annual ryegrass cultivar harvested at three different leaf stages 2-, 3-, and 4-leaves tiller-1 and two stubble heights 5 and 10 cm. Treatments were arranged in a 3 × 2 × 2 factorial of a RCBD experiment with four replications. In 2011, there was a linear increase in forage harvested from 2-leaf (7.3 Mg DM ha-1) to 4-leaf stage (8.8 Mg DM ha-1) and in 2012 the response was quadratic with the highest forage harvested at 2- and 4-leaf stages (7.6 Mg DM ha-1). These results indicate that cultivars of annual ryegrass varied in their responses to grazing preference, grazing management, and defoliation management based on leaf stage.

The concept of behavioural finance has taken more ground concerning the traditional finance paradigm during the last decade. A vital part of the behavioural finance theorem is the subject of behavioural biases and the mistakes these biases have on private stock investors. The authors of this study focused on the bias of overconfidence due to numerous studies indicating the consequences overconfidence has on society and more specifically private investors. The initial focus departed from what might help investors overcome the overconfidence bias. Additionally, the research claiming low financial literacy among young Swedish individuals further caught the authors attention. From this, it was therefore decided to investigate financial literacy's effect on overconfidence among young Swedish individuals to potentially help young individuals understand the risk of overconfidence and what might help reduce the emotional and increase the rational decisions made in investment environments.  With the usage of a questionnaire, we were able to collect quantitative data and thereafter perform three different regressions. The three regression was based on three different measurements of overconfidence; better-than-average effect, miscalibration, and trading frequency. The questions used in the questionnaire were heavily influenced by famous previous literature when it comes to measuring overconfidence and financial literacy. It was also decided to check for different demographic variables and their effect on overconfidence, more precisely previous experience, age, gender, and level of education.  From our study it was found that financial literacy has a negative effect on overconfidence, meaning that the more financially literate an individual is, the less prone to fall victim to overconfidence. More specifically, all three regressions showed this result, indicating a strong relationship. In addition, it was also found that the more experience an individual has the less inclined the individual is to display overconfident behaviour. Lastly, it was found that men tend to be more overconfident than women.  With this study, we are able to contribute to the behavioural view of finance by proving that overconfidence partially exists and that by becoming more financially literate individuals decreases the risk of being overconfident. By being aware of this, we contribute to a healthier investment environment. In addition, this study also contributes to the previous literature on partially overconfidence and financial literacy each on their own but more importantly the effect financial literacy has on overconfidence.

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A graph G is a (t, r)-regular graph if every collection of t independent vertices is collectively adjacent to exactly r vertices. If a graph G is (2, r)-regular where p, s, and m are positive integers, and m ≥ 2, then when n is sufficiently large, then G is isomorphic to G = Ks+mKp, where 2(p-1)+s = r. A nested (2,r)-regular graph is constructed by replacing selected cliques with a (2,r)-regular graph and joining the vertices of the peripheral cliques. For example, in a nested 's' graph when n = s + mp, we obtain n = s1+m1p1+mp. The nested 's' graph is now of the form Gs = Ks1+m1Kp1+mKp. We examine the network properties such as the average path length, clustering coefficient, and the spectrum of these nested graphs.

Objective: This study’s purpose was to examine dietary quality, macronutrient intake, and micronutrient adequacy among long term weight loss maintainers (WLM) in a commercial weight management program. Methods: Participants were 1,207 WLM in WW (formerly Weight Watchers) who had maintained a 9.1 kg or greater weight loss (29.7 kg on average) for 3.4 years, and had an average BMI of 28.3 kg/m2. A control group of weight stable adults with obesity (Controls; N=102) had a BMI of 41.1 kg/m2 and 2.3 kg or less weight change over the previous five years. Results: WLM vs. Controls had a 10.1 point higher HEI-2015 score (70.2 [69.7 - 70.7] vs 60.1 [58.4 - 61.8], respectively; p=0.0001) in analyses that adjusted for group difference in demographic factors. WLM versus Controls had a significantly higher average percentage of calories from carbohydrates (50.3% [49.7 - 50.8] vs 46.7% [44.8 - 48.7], respectively; p=0.0001) and protein (18.2% [18.0-18.5] vs 15.9% [15.1-16.6], respectively; p=0.0001) and lower percentage of calories from fat (32.3% [31.9-32.8] vs 37.4% [35.8-38.9], respectively; p=0.0001). Examining micronutrients, WLM had significantly higher odds for meeting the EAR for copper (OR=5.8 [2.6-13.1]; p=0.0001), magnesium (OR=2.9 [1.8-4.7]; p=0.0001), potassium (OR=4.7 [1.4-16.5]; p=0.015), vitamin A (OR=2.8 [1.7-4.8]; p=0.0001), thiamin (OR=2.3 [1.3-4.1]; p=0.003), riboflavin (OR=6.5 [2.2-19.3]; p=0.001), vitamin B6 (OR=2.91 [1.6-5.2]; p=0.0001), vitamin C (OR=5.0 [2.8-8.8]; p=0.0001), folate (OR=2.2 [1.3-3.7]; p=0.003), and vitamin E (OR=1.8 [1.1-2.8]; p=0.014) and didn’t differ in calcium (OR=1.15 [0.7-1.7]; p=0.823), iron (OR=1.9 [0.8-4.6]; p=0.151), phosphorus (OR=2.0 [0.9-4.5]; p=0.101), selenium (OR=1.6 [0.6-3.8]; p=0.332), zinc (OR=1.7 [0.9-3.0]; p=0.095), niacin (B3) (OR=1.9 [0.8-4.1]; p=0.136), vitamin B12 (OR=1.2 [0.5-2.8]; p=0.625), and vitamin D (OR=1.5 [0.9-2.4]; p=0.09). Conclusions In a widely available commercial program, WLM consumed a healthier and more micronutrient rich diet than adults who were weight stable with obesity. Future research is needed to examine whether improved micronutrient status among WLM reduces risk of chronic disease.