Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…Anthropogenic activities, particularly land use change and management practices, alter the global nitrogen (N) cycle. As a central part of the global N cycle, soil N supply from net N mineralization (NNM) and net nitrification (NN) contributes to over 50% of crop N uptake. …”

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”

Fig 9 - by Dennis Ochola (11626912)

Fig 7 - by Dennis Ochola (11626912)

Fig 4 - by Dennis Ochola (11626912)

Fig 5 - by Dennis Ochola (11626912)

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

Expanding Three-Coordinate Gold(I) Anticancer Agent Chemical Space by Charles E. Greif (21728091)

“…The complexes demonstrated submicromolar cytotoxic activity against human breast cancer cells MDA-MB-231 or MDA-MB-468 with IC₅₀’s in the range of 0.4–5.0 μM. Complex <b>2e</b> shows high potency in vitro and decreases 3D-breast cancer mammosphere viability. …”

Data_Sheet_1_Study on the Relationship Between Orthostatic Hypotension and Heart Rate Variability, Pulse Wave Velocity Index, and Frailty Index in the Elderly: A Retrospective Obse... by Lun Li (155358)

“…<p>Background: Orthostatic hypotension (OH) is a common disease of the elderly. It is generally believed that the pathogenesis of OH is related to the impairment of autonomic nerve function and the decreased vascular capacity regulation. …”

Family History of Hypertension Impairs the Autonomic Balance, but not the Endothelial Function, in Young Soccer Players by Walter Vargas (6798635)

“…Results The standard deviation of normal RR intervals (SDNN; FM-N=314±185; FM-H=182.4± 57.8), the square root of the mean squared differences in successive RR intervals (RMSSD; FM-N=248±134; FM-H=87±51), the number of interval differences of successive NN intervals greater than 50ms (NN50; FM-N=367±83.4; FM-H=229±55), the ratio derived by dividing NN50 by the total number of NN intervals (pNN50; FM-N=32.4±6.2; FM-H=21.1±5.3) and the high (HF; FM-N=49±8.9; FM-H=35.3±12) and low-frequency (LF; FM-N=50.9±8.9; FM-H=64.6±12) components, in normalized units (%), were significantly lower in the FM-H group than in the FM-N group (p<0.05). …”

Table_1_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

“…In the delta-band, there were frontal increases (RMSSD, pNN50, rrHRV, SDNN) and decreases (SDNN) across stimulation sites. …”

Table_2_Brain–Heart Interaction During Transcutaneous Auricular Vagus Nerve Stimulation.docx by Kathrin Machetanz (10302452)

“…In the delta-band, there were frontal increases (RMSSD, pNN50, rrHRV, SDNN) and decreases (SDNN) across stimulation sites. …”

Table 1_Single-case report: dynamic changes in cardiac function during shamanic journeying and Qigong meditation.docx by Emma R. Huels (10321976)

“…The LF/HF ratio decreased further in the second post-shapeshift period, while HF power and pNN50 were increased compared to drumming initiation. …”

Effects of Methylphenidate treatment on circadian heart rate in 19 adolescents. by Reiner Buchhorn (794324)

“…Significantly higher RMSSD, pNN50, and high-frequency power values indicate a higher vagus activity after omega-3-fatty acid supplementation. …”

Image_3_Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Beh... by Yukiyoshi Sumi (5290874)

“…The multivariate logistic regression analysis for OH identification for the iRBD groups showed the model whose inputs were the HRV indices, i.e., standard deviation 2 (SD2) and the percentage of adjacent intervals that varied by more than 50 ms (pNN50), had a receiver operating characteristic curve with area under the curve of 0.840, the sensitivity to OH (+) of 1.000, and the specificity to OH (–) of 0.583 (p = 0.023).…”

Table_1_Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Beh... by Yukiyoshi Sumi (5290874)

“…The multivariate logistic regression analysis for OH identification for the iRBD groups showed the model whose inputs were the HRV indices, i.e., standard deviation 2 (SD2) and the percentage of adjacent intervals that varied by more than 50 ms (pNN50), had a receiver operating characteristic curve with area under the curve of 0.840, the sensitivity to OH (+) of 1.000, and the specificity to OH (–) of 0.583 (p = 0.023).…”

Image_2_Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Beh... by Yukiyoshi Sumi (5290874)

“…The multivariate logistic regression analysis for OH identification for the iRBD groups showed the model whose inputs were the HRV indices, i.e., standard deviation 2 (SD2) and the percentage of adjacent intervals that varied by more than 50 ms (pNN50), had a receiver operating characteristic curve with area under the curve of 0.840, the sensitivity to OH (+) of 1.000, and the specificity to OH (–) of 0.583 (p = 0.023).…”

Image_1_Resting Heart Rate Variability Is Associated With Subsequent Orthostatic Hypotension: Comparison Between Healthy Older People and Patients With Rapid Eye Movement Sleep Beh... by Yukiyoshi Sumi (5290874)

“…The multivariate logistic regression analysis for OH identification for the iRBD groups showed the model whose inputs were the HRV indices, i.e., standard deviation 2 (SD2) and the percentage of adjacent intervals that varied by more than 50 ms (pNN50), had a receiver operating characteristic curve with area under the curve of 0.840, the sensitivity to OH (+) of 1.000, and the specificity to OH (–) of 0.583 (p = 0.023).…”