Understandability of AFMUC restriction rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Applicability of AFMUC restriction rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Digital intellectual property rules in RTAs. by Zehui Yu (8116910)

“…<div><p>Based on the technology complexity data of bilateral digital service exports of 64 representative economies in the world from 2010 to 2021, this paper uses the gravity model to explore the heterogeneous trade effects of Regional Trade Agreements (RTAs) from the perspective of digital intellectual property rules. …”

Grid with 3x3 cells according to the Rule of Thirds. by Erich Tasser (6469177)

The top 15 association rules from frequent itemsets are sorted by support. by Xuankai Ma (17921454)

The effect of HA digestion and HA replenishment alone or with CS on barrier function measured by TEER. by Charlotte J. van Ginkel (20790466)

“…PS decreased TEER. (C) Different treatments (treatment groups n = 8)with HA and/or CS did not affect TEER recovery after PS treatment, full recovery was seen in all groups after 24 hours. …”

Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 followi... by Peter E. Lillis (12368582)

Plot showing the significant correlation between participant age and QOLI_TOTDIFF. by Roger D. Newman-Norlund (14053467)

Subjects:

Lipinski Rule of five calculated for the selected compounds by SWISS-ADME. by Saud Almawash (4287541)

Evaluation metric values of the logistic regression model (LR), random forest classifier (RF), and the rule-based algorithm (RB) for each of the sociodemographic characteristics. by Rawan Abulibdeh (19206115)

Spatial task, Hand > Ghost: Brain regions, FWE-corrected p values, sizes of clusters (k), T values, and MNI coordinates of clusters showing significant activation following differe... by Elizabeth Renner (4723290)

Cognitive task, Hand > Ghost: Brain regions, FWE-corrected p values, sizes of clusters (k), T values, and MNI coordinates of clusters showing significant activation following diffe... by Elizabeth Renner (4723290)

Error Rate of AFMUC Restriction Rules. by Shumaila Iqbal (22238550)

“…The aspect threat model is then woven into the base use case model. Similarly, an aspect mitigation model is proposed to specify crosscutting mitigations following the AFMUC restriction rules. …”

Correlation between traditional quality metrics and biological quality measures by rule in the sequential rules discovered from the whole GSE77962 dataset (LCD and VLCD groups). by Augusto Anguita-Ruiz (8698281)

Evolution of cumulative monthly returns at the common optimum averaging window for all trend-following rules. by Teruko Takada (13977607)

Changes in choice representations during color and shape rules across pseudopopulations. by R. Becket Ebitz (7841318)

Graph network of ZNF518B (with lift score > 1.23) and its related association rules with other mRNAs. ZNF518B, its rules, and related mRNAs are represented by orange, yellow, and b... by Seyed Mahdi Hosseiniyan Khatibi (16791475)

Table_2_Rule-based systems to automatically count bites from meal videos.docx by Michele Tufano (10772319)

“…Yet, video recordings of eating episodes provide a non-invasive and scalable source for automation. Here, we present a rule-based system to count bites automatically from video recordings with 468 3D facial key points. …”

Table_1_Rule-based systems to automatically count bites from meal videos.docx by Michele Tufano (10772319)

“…Yet, video recordings of eating episodes provide a non-invasive and scalable source for automation. Here, we present a rule-based system to count bites automatically from video recordings with 468 3D facial key points. …”

Table_3_Rule-based systems to automatically count bites from meal videos.docx by Michele Tufano (10772319)

“…Yet, video recordings of eating episodes provide a non-invasive and scalable source for automation. Here, we present a rule-based system to count bites automatically from video recordings with 468 3D facial key points. …”