Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

Time-based splitting strategy and forecast horizons. by Thierry Jean (20691795)

Subjects:

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

The refracted opposition-based learning mechanism. by Yang Guo (399435)

Subjects:

Decrease in loss during the training process. by Muhammad Idrees (92773)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Subjects:

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Subjects:

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. Communities started with 5 non-interacting species. …”

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

Subjects:

Cross-lagged panel model based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Table 2_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”

Table 4_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”

Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”

Table 1_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

“…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. by Katie D. Pool (20141584)

Subjects:

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

Cross-lagged panel model consistency test based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)