Table 6_NK cell-derived extracellular vesicles enhance cytotoxicity and immune cell recruitment in non-small cell lung cancer.xlsx by Joanna Palade (17712960)

“…Introduction<p>Immune-based agents, especially Immune Checkpoint Inhibitors (ICI), are standard of care therapy in non-small cell lung cancers (NSCLC); however, a significant number of patient tumors fail to respond, or develop resistance. …”

Table 2_NK cell-derived extracellular vesicles enhance cytotoxicity and immune cell recruitment in non-small cell lung cancer.xlsx by Joanna Palade (17712960)

“…Introduction<p>Immune-based agents, especially Immune Checkpoint Inhibitors (ICI), are standard of care therapy in non-small cell lung cancers (NSCLC); however, a significant number of patient tumors fail to respond, or develop resistance. …”

Table 1_NK cell-derived extracellular vesicles enhance cytotoxicity and immune cell recruitment in non-small cell lung cancer.xlsx by Joanna Palade (17712960)

“…Introduction<p>Immune-based agents, especially Immune Checkpoint Inhibitors (ICI), are standard of care therapy in non-small cell lung cancers (NSCLC); however, a significant number of patient tumors fail to respond, or develop resistance. …”

Image 2_NK cell-derived extracellular vesicles enhance cytotoxicity and immune cell recruitment in non-small cell lung cancer.jpg by Joanna Palade (17712960)

“…Introduction<p>Immune-based agents, especially Immune Checkpoint Inhibitors (ICI), are standard of care therapy in non-small cell lung cancers (NSCLC); however, a significant number of patient tumors fail to respond, or develop resistance. …”

Table 5_NK cell-derived extracellular vesicles enhance cytotoxicity and immune cell recruitment in non-small cell lung cancer.xlsx by Joanna Palade (17712960)

“…Introduction<p>Immune-based agents, especially Immune Checkpoint Inhibitors (ICI), are standard of care therapy in non-small cell lung cancers (NSCLC); however, a significant number of patient tumors fail to respond, or develop resistance. …”

Supplementary file 1_Temporal interaction information and laser evoked responses: preliminary results in fibromyalgia patients with small fibers pathology.docx by Livio Clemente (22152382)

“…We used cluster-based permutation tests (p < 0.05) to identify significant clusters of TII between cortical components recorded using a 64-channel electroencephalography (EEG) system - with focus on the Cz electrode - and subjective pain ratings to quantify synergy or redundancy between the LEP signal time points and Visual Analog Scale (VAS).…”

Data_Sheet_1_Subthreshold amyloid deposition, cerebral small vessel disease, and functional brain network disruption in delayed cognitive decline after stroke.docx by Jae-Sung Lim (532986)

“…Decliners [defined by a decrease of ≥3 Mini-Mental State Examination (MMSE) points annually or an absolute drop of ≥5 points between evaluations, confirmed with detailed neuropsychological tests] were compared with age- and stroke severity-matched non-decliners. …”

Image 1_Cerebral small vessel disease as a possibly immune-related adverse event of immunotherapy in lung cancer patients: a retrospective study.tif by Na Wu (240778)

“…In the CSVD group, FT₄ levels decreased significantly between baseline and at the time of CSVD diagnosis, from 13.21 ± 4.56 pmol/L to 11.01 ± 2.11 pmol/L. …”

Supplementary file 1_Forced intensity-controlled endurance training on a small-animal treadmill machine inducing murine cardiac hypertrophy: insights and comparison to voluntary ru... by Maximillian Fischer (14758063)

“…<p>Endurance training is associated with decreased cardiovascular-related morbidity and mortality. …”

Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm by Leyao Gu (17897654)

“…The findings show that small-scale datasets or higher false detection rates lead to decreased accuracy. …”

Single-driver controllability of brain networks. by Remy Ben Messaoud (20521877)

Canopy effects from biomass utilization on the Priest River Experimental Forest by Ina S. Miller (19658593)

“…Our BRDI research goals, targeted the soil and water component of the area where the biomass was removed once reduction had taken place These goals examined whether biomass reduction/removal indicated a significant increase in soil erosion, decrease in infiltration or otherwise adversely impact water resources, compared to control sites. …”

Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i>^<i>tm1b</i> compound mutant. by José Tomás Ahumada Saavedra (22290934)

Algorithms for designing continuous curricula A: Decision tree showing the continuous version of ADP which includes actions that “grow” and “shrink” the increments between continuo... by William L. Tong (22238845)

Dataset visualization diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Performance comparison of different models. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Schematic model depicting the relationship between lipids and proteins by target gene knockdown. by Takuya Kitamoto (11721639)

“…Non-significant but decreasing trends are marked with small light blue arrows pointing downwards. …”

C2f and BC2f module structure diagrams. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

YOLOv8n detection results diagram. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”