Primers sequences of the genes examined by real-time PCR. حسب Takafumi Kabuto (14797727)

الموضوعات:

Details of the 11 fully trained dogs exposed to sweat samples of SARS-CoV-2 positive and negative humans. حسب Víctor M. Vidal-Martínez (18707335)

الموضوعات:

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using syst... حسب Iva Milinkovic (22331710)

الموضوعات:

Information of QTL interval and lead SNP significantly associated with meat color in fast-growing white-feathered chickens. حسب Jiahong Sun (6497603)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation حسب Xiaoyu Shen (4715430)

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Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

الموضوعات:

Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

الموضوعات:

Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

الموضوعات:

This figure shows the forest plot for the multivariable logistic regression found in Table 1. حسب Scott J. Halperin (17835402)

Effect of supplementation of oocyte maturation medium (OMM) with follicular fluid (FF) from small or large follicles on development of embryos to the blastocyst stage. حسب Verónica M. Negrón-Pérez (20691412)

Effect of follicular fluid (FF) supplementation and time of maturation on development of embryos to the blastocyst stage. حسب Verónica M. Negrón-Pérez (20691412)

MXene/Bi₂O₃ Nanocomposites as Supercapacitors for Portable Electronic Devices حسب Nanasaheb M. Shinde (8560572)

الموضوعات:

S1 File - حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Confusion matrix for ClinicalBERT model. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Confusion matrix for LastBERT model. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Student model architecture. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Configuration of the LastBERT model. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Confusion matrix for DistilBERT model. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

ROC curve for LastBERT model. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"

Sample Posts from the ADHD dataset. حسب Ahmed Akib Jawad Karim (20427740)

"…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"