Table 1_A population-based registry study on psoriasis-associated burden of disease in Finland.docx by Liisa Ukkola-Vuoti (382651)

Microbiome-host genetic association. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”

Summary description of the samples. by Tamizhini Loganathan (18538349)

“…Core microbiome and correlation analysis at the phylum and genus levels identified significant microbiota. Specifically, the abundance of genera such as <i>Pseudomonas</i> and <i>Akkermansia</i> decreased, while <i>Ruminococcus</i> and <i>Allistipes</i> increased, as determined by statistical and machine learning approaches. …”

Trial design. by Llum Páez (22553360)

“…<div><p>Canine leishmaniasis is a vectorial zoonotic disease caused by the obligate intracellular trypanosomatid parasite <i>Leishmania infantum</i>. …”

Schedule of the trial. by Llum Páez (22553360)

“…<div><p>Canine leishmaniasis is a vectorial zoonotic disease caused by the obligate intracellular trypanosomatid parasite <i>Leishmania infantum</i>. …”

Clinical symptoms scoring system. by Llum Páez (22553360)

“…<div><p>Canine leishmaniasis is a vectorial zoonotic disease caused by the obligate intracellular trypanosomatid parasite <i>Leishmania infantum</i>. …”

Marketed vaccines against canine leishmaniasis. by Llum Páez (22553360)

“…<div><p>Canine leishmaniasis is a vectorial zoonotic disease caused by the obligate intracellular trypanosomatid parasite <i>Leishmania infantum</i>. …”

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on DRPD dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Main module structure. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on WEDU dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Example images from four plant datasets. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Counting results on RFRB dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

“…At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Steel slag-based silicate fertilizer suppresses grain cracking in brewer’s rice cultivar “Yamada-Nishiki” by Youshi Tazoe (20410017)

“…<p>In recent years, high temperatures during rice ripening have caused the impairment of rice grain filling, resulting in cracked grains and chalky grains in rice for Japanese sake brewing (brewer’s rice) and reduced suitability for brewing. …”