Fig 4 - by Takafumi Kabuto (14797727)

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Results of a dog’s detections after exposure to sweat samples from positive and negative people to SARS-CoV-2, together with the Ct values of the RT-qPCR test of each person partic... by Víctor M. Vidal-Martínez (18707335)

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Sensitivity and specificity of 11 dogs trained to detect SARS -CoV-2 from the sweat of positive and negative people from Mérida, Yucatán compared with the reference test (RT-qPCR).... by Víctor M. Vidal-Martínez (18707335)

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

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Fig 5 - by Takafumi Kabuto (14797727)

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Measurement of micturition behavior in the rats. by Takafumi Kabuto (14797727)

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

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Measurements of the amount of ATP released by bladder distention and VNUT expression in the bladder. by Takafumi Kabuto (14797727)

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Determination of bladder blood flow in LETO and OLETF rats. by Takafumi Kabuto (14797727)

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Active DNA Demethylation Mediated by <i>OsGADD45a2</i> Regulates Growth, Development, and Blast (Magnaporthe oryzea) Resistance in Rice by Ganghua Zhou (9283406)

“…Among these, Hap4 was associated with a significantly greater plant height than Hap1–3, possibly due to a functional alteration of <i>OsGADD45a2</i> linked to the SNP at position 2614993. …”

Characterization of miRNA expression profiles and their potential targets upon Bz and Bz + PTX therapy in chronically infected mice. Relative expression was expressed as fold chang... by Glaucia Vilar-Pereira (686134)

Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

“…Statin treatment decreased cell sizes in the larger cells more than in the smaller cells as seen in the greater divergence between lines plotted for larger cell somas (bottom panel). …”

S1 File - by 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. by 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. by 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. by 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. by 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. by 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. by 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. by 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. …”