Hovendulcisic acid A-D: four novel ceanothane-type triterpenoids from Hovenia dulcis stems with anticancer properties

Sixteen ceanothane-type triterpenoids, including four new compounds—hovendulcisic acids A–D (1–4) —were purified from the stems of Hovenia dulcis Thunb. The structures of 1–4 were confirmed by comprehensive means including ECD and quantum chemical calculations. Putative biosynthetic pathways of 1–16 were proposed, and 3, 5, and 15 exhibited antitumor activity on A549 and MDA-MB-231 cells

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two main differences between this year's competition and the previous two. First, we have expanded the existing dataset, and for the first time, released a training set so that participants can focus on improving their models. Second, we set up two tracks for the first time, i.e., Anti-UAV Tracking and Anti-UAV Detection & Tracking. Around 76 participating teams from the globe competed in the 3rd Anti-UAV Challenge. In this paper, we provide a brief summary of the 3rd Anti-UAV Workshop & Challenge including brief introductions to the top three methods in each track. The submission leaderboard will be reopened for researchers that are interested in the Anti-UAV challenge. The benchmark dataset and other information can be found at: https://anti-uav.github.io/.Comment: Technical report for 3rd Anti-UAV Workshop and Challenge. arXiv admin note: text overlap with arXiv:2108.0990

Metabolomics Provides New Insights into Host Manipulation Strategies by Asobara japonica (Hymenoptera: Braconidae), a Fruit Fly Parasitoid

Asobara japonica (Hymenoptera: Braconidae) is an endoparasitoid wasp that can successfully parasitize a wide range of host species across the Drosophila genus, including the invasive crop pest Drosophila suzukii. Parasitoids are capable of regulating the host metabolism to produce the nutritional metabolites for the survival of their offspring. Here, we intend to investigate the metabolic changes in D. melanogaster hosts after parasitization by A. japonica, using the non-targeted LC-MS (liquid chromatography-mass spectrometry) metabolomics analysis. In total, 3043 metabolites were identified, most of which were not affected by A. japonica parasitization. About 205 metabolites were significantly affected in parasitized hosts in comparison to non-parasitized hosts. The changed metabolites were divided into 10 distinct biochemical groups. Among them, most of the lipid metabolic substances were significantly decreased in parasitized hosts. On the contrary, most of metabolites associated with the metabolism of amino acids and sugars showed a higher abundance of parasitized hosts, and were enriched for a wide range of pathways. In addition, eight neuromodulatory-related substances were upregulated in hosts post A. japonica parasitization. Our results reveal that the metabolites are greatly changed in parasitized hosts, which might help uncover the underlying mechanisms of host manipulation that will advance our understanding of host–parasitoid coevolution

The Impact of Latency on Players in First-person Shooter Games

The first-person shooter game is the most popular genre in esports and among the most affected by latency. In general, the lower the latency, the sooner a player sees the outcome of their actions. Techniques to study latency and individual games cannot scale to cover all possible first-person shooter games. Our approach is to study and model the primary actions in first-person shooter games, and use the models as building blocks to simulate first-person shooter scenarios with latency. We focus on the two main actions players take in first-person shooter games – navigation (get in position to shoot or avoid being shot), and selection (shoot at a moving or stationary target). We gather data on each action via user studies and build mathematical models for player performance. By incorporating the models for different actions, we simulate game scenarios by sampling in-sight windows and shots in the windows and varying parameters for different game scenarios. We validate the simulation results using data from first-person shooter games, finding that our simulation predicts outcomes from a custom FPS game well, but less well on CS:GO data probably due to difference in game modes and built-in latency compensation. Once validated, we simulate first-person shooter games with a broad range of games and game configurations including latency, latency compensation, player skill, room size, firing rate and target size. We find that latency compensation, number of hits required to kill an opponent and player skill have large effects on the performance of players with latency, but map size, effect size and firing rate do not

Correction: Inflammatory markers in postoperative delirium (POD) and cognitive dysfunction (POCD): A meta-analysis of observational studies.

[This corrects the article DOI: 10.1371/journal.pone.0195659.]

To Be Happy: A Case Study of Entrepreneurial Motivation and Entrepreneurial Process from the Perspective of Positive Psychology

The pursuit of wealth maximization is considered to be the greatest driving force of entrepreneurship. However, this economic rational perspective cannot sufficiently answer why potential or continuous entrepreneurs still choose entrepreneurship or even continuous entrepreneurship in the face of high failure rate and tremendous uncertainty. On the basis of the dynamic process of entrepreneurship and the perspective of positive psychology, this study attempts to interpret the sustained motivation mechanism of entrepreneurs. This study uses multiple cases to investigate the emotion, cognition, and behavior of entrepreneurial process. Through NVivo software and emotion dictionary, more than 27,000 micro blogs (Weibo) of six entrepreneurs were analyzed, and the model of positive emotion in entrepreneurial process was constructed. The findings are as follows. (1) In the process of establishing a business, entrepreneurs can persist in a highly uncertain environment by acquiring positive emotions. That is, the motivation of sustainable entrepreneurship originates from the emotion of happiness and satisfaction that entrepreneurs obtain. (2) Positive emotions affect the formation and expansion of key activities of entrepreneurship through cognition and then persist with entrepreneurship. Specifically, positive emotion promotes the formation of entrepreneurial intention by expanding cognitive structure, intuitive processing, and analytical processing to promote the acquisition of entrepreneurial resources and the expansion of entrepreneurial ability. (3) In the process of entrepreneurship, emotional return is a performance dimension parallel to economic return. This conclusion provides a new perspective towards revealing the entrepreneurial motivation of entrepreneurs in highly ambiguous environments