Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Gaseous and Particulate Emissions from a Small Business Jet Using Conventional Jet A‑1 and a 30% SAF Blend by Lukas Durdina (1482799)

Subjects:

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Data and code from: Continental declines in North American small mammal populations by Alec Medd (20968740)

“…In particular, we need further work to uncover the causes and consequences of small mammal declines, and to develop mitigation strategies to avoid further declines North American small mammals.…”

Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points... by Folashade B. Agusto (3663010)

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of... by María Elena Quintanilla (8068691)

Sensitivity of temperature anomaly at 10% change in parameter values. by Athira Satheesh Kumar (20570553)

Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of GFAP protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

Flow chart with steps of conducting the study. by Athira Satheesh Kumar (20570553)

“…Our numerical analysis indicates that, over time, the temperature anomaly becomes less affected by the variations in rumor propagation parameters, and having larger groups (having more members) is more efficient in reducing temperature (by efficiently propagating rumors) than having numerous small groups. It is observed that decreasing the number of individual connections does not reduce the size of the rejector population when there are large numbers of messages sent through groups. …”

Data Sheet 1_Empagliflozin’s cardioenergetic protective effects through PPARα pathway modulation in heart failure.pdf by Hua Wei (60877)

“…Post-treatment, MRGlu and glucose uptake decreased markedly in the empagliflozin (EMPG) group, while no significant changes were observed in the fenofibrate (FF) group. …”

Figure 4 from PD-1 Blockade Mitigates Surgery-Induced Immunosuppression and Increases the Efficacy of Photodynamic Therapy for Pleural Mesothelioma by Gwendolyn M. Cramer (16964052)

Summary of previous work. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

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

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

YOLO11. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

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

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

Comparative experimental results. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”

Dataset for insulator defect detection. by Junyan Wang (4738518)

“…Specifically, to tackle the difficulties associated with small object detection, we replace conventional convolutions in the Backbone with SPDConv modules to enhance feature capture capabilities for small targets and low-resolution images while reducing computational overhead. …”