Experiment V1 and V2: symptom abbreviations. 由 Anne K. J. Giesbers (15285868)

“...This study provides insights into symptom development in plants inoculated with viruses and bacteria under various lighting conditions, highlighting the influence of light intensity and spectrum. Based on the results of this comparative study, “broad spectrum with far-red” LEDs were identified that are suitable for disease assays on plant pathogenic viruses and bacteria....”

Box plots and PCA plots demonstrating non-normalized and normalized data of four microarray datasets. 由 Sare Golpasand (22367179)

Cross loadings analysis. 由 Abdulrahman Awadh Aljuaid (22582094)

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Effect size analysis (). 由 Abdulrahman Awadh Aljuaid (22582094)

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PLS Predict HRM. 由 Abdulrahman Awadh Aljuaid (22582094)

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Data. 由 Abdulrahman Awadh Aljuaid (22582094)

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Bootstrapping HRM. 由 Abdulrahman Awadh Aljuaid (22582094)

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Upcycling of Polyethylene Terephthalate Waste into Closed-Loop Recyclable Carbon Fiber-Reinforced Polymer Composites with High Performance 由 Saipeng Feng (22141784)

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Measurement model. 由 Abdulrahman Awadh Aljuaid (22582094)

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Simple slope gradient. 由 Abdulrahman Awadh Aljuaid (22582094)

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Hypothesis analysis. 由 Abdulrahman Awadh Aljuaid (22582094)

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PLS Algorithm HRM. 由 Abdulrahman Awadh Aljuaid (22582094)

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HTMT analysis. 由 Abdulrahman Awadh Aljuaid (22582094)

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Importance performance analysis. 由 Abdulrahman Awadh Aljuaid (22582094)

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Upcycling of Polyethylene Terephthalate Waste into Closed-Loop Recyclable Carbon Fiber-Reinforced Polymer Composites with High Performance 由 Saipeng Feng (22141784)

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Fornell and Larcker analysis. 由 Abdulrahman Awadh Aljuaid (22582094)

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IPMA HRM. 由 Abdulrahman Awadh Aljuaid (22582094)

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Upcycling of Polyethylene Terephthalate Waste into Closed-Loop Recyclable Carbon Fiber-Reinforced Polymer Composites with High Performance 由 Saipeng Feng (22141784)

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Research framework. 由 Abdulrahman Awadh Aljuaid (22582094)

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The PRISMA diagram relevant to our study. 由 Namya Mehan (22008760)

“...In the17% studies that developed LLMs for oncological aspects, domain adaptation through pre-training and fine-tuning were often performed and resulted in performance improvement. The evaluation of an LLM’s performance involved usage of both standard, validated, non-standardized, and/or customized performance measures considering a variety of constructs, other than accuracy. ...”