Search alternatives:
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant rule » significant role (Expand Search), significant rise (Expand Search), significant cause (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
-
161
-
162
-
163
-
164
Heatmaps for direction and significance of dependence on radial position for all pairs in HFF cells.
Published 2022Subjects: -
165
-
166
-
167
Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…(B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>C57BL/6</sub> = 305 units from 5 recording sessions, n<sub>APP/PS1</sub> = 180 units from 4 recording sessions). …”
-
168
-
169
Error Rate of AFMUC Restriction Rules.
Published 2025“…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. …”
-
170
-
171
-
172
-
173
-
174
-
175
-
176
-
177
-
178
-
179
Table_2_Rule-based systems to automatically count bites from meal videos.docx
Published 2024“…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. …”
-
180
Table_1_Rule-based systems to automatically count bites from meal videos.docx
Published 2024“…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. …”