9 research outputs found
Histograms of number of messages across schools by year (blue and red lines represent median and mean, respectively).
Histograms of number of messages across schools by year (blue and red lines represent median and mean, respectively).</p
Heatmaps of negative sentiment percentage in all 128 school subreddit communities by year. Each circle represents a school.
The right column shows the within-school differences between 2020 to 2022 vs. 2019 (pre-pandemic). The crosses in the 2021 and 2022 plots represent difference values outside the [−20, 20]% range. (30.38% for the University of Notre Dame in 2020; 31.25% for Boise State University, and -28.82% for the University of Idaho in 2021; and 45.72% for the University of Maine, 25.98% for the University of New Mexico-Main Campus, 31.39% for the Tulane University of Louisiana in 2022).</p
Descriptive statistics of school-level baseline characteristics.
Descriptive statistics of school-level baseline characteristics.</p
Percentage of negative sentiment distribution for all schools in each year (blue and red line represents median and mean, respectively).
Percentage of negative sentiment distribution for all schools in each year (blue and red line represents median and mean, respectively).</p
Forrest plot of estimated odds ratios of negative sentiment for the model covariates (vs. its reference level or with 1SD increase) in the GLMM with 95% confidence intervals.
An asterisk * indicates a statistically significant effect per the adjusted p-value (Table 2).</p
Estimated effects of covariates on the odds of negative sentiment.
Estimated effects of covariates on the odds of negative sentiment.</p
The file contains more information about the data and privacy compliance, the code, and the list of HEIs included in this study.
The file contains more information about the data and privacy compliance, the code, and the list of HEIs included in this study.</p
Data_Sheet_1_Performance-guaranteed distributed control for multiple plant protection UAVs with collision avoidance and a directed topology.docx
The urgent requirement for improving the efficiency of agricultural plant protection operations has spurred considerable interest in multiple plant protection UAV systems. In this study, a performance-guaranteed distributed control scheme is developed in order to address the control of multiple plant protection UAV systems with collision avoidance and a directed topology. First, a novel concept called predetermined time performance function (PTPF) is proposed, such that the tracking error can converge to an arbitrary small preassigned region in finite time. Second, combined with the two-order filter for each UAV, the information estimation from the leader is generated. The distributed protocol avoids the use of an asymmetric Laplace matrix of a directed graph and solves the difficulty of control design. Furthermore, by introducing with a collision prediction mechanism, a repulsive force field is constructed between the dynamic obstacle and the UAV, in order to avoid the collision. Finally, it is rigorously proved that the consensus of the multiple plant protection UAV system can be achieved while guaranteeing the predetermined time performance. A numerical simulation is carried out to verify the effectiveness of the presented method, such that the multiple UAVs system can fulfill time-constrained plant protection tasks.</p
Additional file 1: Table S1. of Combined clinical and genetic testing algorithm for cervical cancer diagnosis
Population and test characteristics by histologic category in training set. (PPTX 47 kb