Experimental lithium-ion batteries. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

Schematic diagram of two time intervals. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

Structure–Activity Relationships of Azaquinazolinone Derivatives as ¹⁸F‑Labeled PET Probes Targeting Ghrelin Receptors by Hiroyuki Watanabe (312793)

“…Among them, AQ-12 showed the highest binding affinity for GHSR. In a biodistribution study using normal mice, [¹⁸F]AQ-12 displayed high uptake in the pancreas, which is one of the GHSR-expressing organs, and its radioactivity was significantly decreased by coinjection with unlabeled AQ-12. …”

Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m⁶A Modification by Rui Wang (52434)

“…By employing <i>N</i>6-methyladenosine (m⁶A) methylated RNA immunoprecipitation sequencing and bioinformatics, we identified <i>Zic1</i> as a key target of PM_0.1-induced developmental disturbances. …”

The raw data for Fig 8A. by Hongjoo An (21703199)

“…Luciferase assay and human and mouse brain multi-omics data show that, during the differentiation of OL precursor cells (OPCs) into OLs, the enhancer activity of Sox10-E1 does not change while that of Sox10-E2 decreases significantly. Chromatin interaction data indicate that the two <i>Sox10</i> enhancers lie close to the border of the <i>Sox10</i> topologically associating domain (TAD). …”

Establishment of a diabetic rat model. by Lan Zeng (638254)

“…Accordingly, we measured VEGF gene expression and found that it was significantly increased in the retinas of diabetic rats (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3A</a>). …”

Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Primers used in ChIP-PCR. by Lorenza Cutrone (21144285)

“…Despite its relevance, the repertoire of host factors governing the transition from latent to lytic phase is not yet complete, leaving much of this complex process unresolved. Here we show that heat shock factor 2 (HSF2), a transcription factor involved in regulation of stress responses and specific cell differentiation processes, promotes gamma-herpesvirus lytic gene expression. …”

Primers used in RTqPCR. by Lorenza Cutrone (21144285)

“…Despite its relevance, the repertoire of host factors governing the transition from latent to lytic phase is not yet complete, leaving much of this complex process unresolved. Here we show that heat shock factor 2 (HSF2), a transcription factor involved in regulation of stress responses and specific cell differentiation processes, promotes gamma-herpesvirus lytic gene expression. …”

MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

“…<i>Tillandsia utriculata</i> has been classified as endangered in Florida where its population has decreased significantly due to predation by the invasive Mexican weevil <i>Metamasius callizona</i>. …”

Path diagram of the 2-factor CFA analysis. by Vincenza Tarantino (182506)

“…As expected, a significant correlation between the S-Hab-Q and the AQ score was found. …”

Summary of previous work. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”