Supplementary file survey questioner annex. by Dinku Mechal (21273002)

“…Holding other variables constant, a one-unit increase in demand and supply side risks results in 19.1% and 13.1% lead to decrease in operational performance of manufacturing companies, respectively. …”

Basic characteristics of the studies included. by Renáta Kiss-Miki (20760127)

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PRISMA flowchart of the article selection process. by Renáta Kiss-Miki (20760127)

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List_of_studies_identified_31-JAN-2025. by Renáta Kiss-Miki (20760127)

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Forest plot showing the mean difference of global IQ level among pediatric brain cancer patients treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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Forest plot showing the ratio of odds of hypothyroidism (=event) among pediatric brain cancer patients treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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Forest plot showing the odds of 5-year overall-survival rate among children with brain tumors treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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Data_table_with_all_identified_articles_31-JAN-2025. by Renáta Kiss-Miki (20760127)

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Data_extraction_table_31-JAN-2025. by Renáta Kiss-Miki (20760127)

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Forest plot showing the ratio of odds of grade 3 anemia (=event) among pediatric patients with brain tumors treated with either PT or XRT. by Renáta Kiss-Miki (20760127)

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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)

SIM and SIMA detection in real samples. by Ewa Paszkowska (21246702)

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