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

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

Subjects:

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)

Accuracy and loss of LSTM model training and testing. by Leijie Wang (21485157)

Subjects:

The parameters of gas exchange markedly decreased in maize <i>zmstomagen1/2</i> mutant compared with in wild type (WT). by Juan-Juan Xu (18590868)

Store listing metrics and user acquisition. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

Installation, growth, and retention metrics. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

Implemented activities. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

App user retention trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

App user onboarding trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

App user base growth trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Classification model parameter settings. by Chao Tang (10925)

“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”

Setting of experimental environment and model parameters. by Guozhu Sui (21672798)

(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

PCA-CGAN model parameter settings. by Chao Tang (10925)

“…Simultaneously, we designed a two-stage conditional encoding-decoding architecture that builds category-independent feature spaces from early training stages, fundamentally breaking the feature space bias caused by the “Matthew effect” and effectively preventing majority classes from compressing minority class features during generation. …”

Data set. by Belachew Tekleyohannes Wogayehu (19470257)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

Subjects:

LOSS curves for BWO-BiLSTM model training. by Xiangjuan Liu (618000)