Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

Flow chart of sediment P fractionation procedure. by Jiayu Hu (673291)

“…The NH₄Cl-Po and NaHCO₃-Po concentrations in sediments showed the greatest decrease (accounting for 97.6% of total decrease) during the experiment. …”

Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... by Teagan McMahon (20108036)

Detailed information of the observation datasets. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

Sociodemographic and employment baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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Evolution of mean values of posttraumatic stress symptomatology according to sociodemographic and occupational variables from baseline to 12-month. by Beatriz Arregui-Gallego (21553735)

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Baseline comparison of posttraumatic stress symptomatology according to sociodemographic and occupational variables. by Beatriz Arregui-Gallego (21553735)

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Psychological and coping factors baseline characteristics. by Beatriz Arregui-Gallego (21553735)

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Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

Ether Cleavage Decreases the Ion Exchange Capacity of Anion Exchange Membranes by Shakkira Erimban (6882539)

(a) Changes of Fe-Al bond-bound soil organic carbon (Fe/Al-SOC) content during acification of black soil. (b) Changes of Calcium bond-bound soil organic carbon (Ca-SOC) content dur... by Xiaoxu Zhu (11764430)

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Multiple regression analysis of aggregate stability and cementing substance in black soil during acidification. by Xiaoxu Zhu (11764430)

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(a) Changes of SOC (Soil organic matter) content during acification of black soil. The control group (0Y) received no fertilization, while the treatment groups included soils that... by Xiaoxu Zhu (11764430)

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The higher the value, the stronger the correlation. by Xiaoxu Zhu (11764430)

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Changes of exchangeable calcium carbonate content during acification of black soil. by Xiaoxu Zhu (11764430)

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(a) Changes of exchangeable Ca²⁺ content during acification of black soil. (b) Changes of exchangeable Mg²⁺ content during acification of black soil. The cont... by Xiaoxu Zhu (11764430)

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