Proportion of positive results in each algorithm and latent prevalences by age (a) and comorbidity (b) groups. حسب Jia Wei (120974)

Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. حسب Jia Wei (120974)

"…<p>Algorithm [<a href="/article/info:doi/10.1371/journal.pdig.0000936#pdig.0000936.ref001" target="_blank">1</a>] is CAP primary diagnostic codes; Algorithm [<a href="/article/info:doi/10.1371/journal.pdig.0000936#pdig.0000936.ref002" target="_blank">2</a>] is CAP antibiotic indication; Algorithm [<a href="/article/info:doi/10.1371/journal.pdig.0000936#pdig.0000936.ref003" target="_blank">3</a>] is chest X-ray report or CT scan report; Algorithm [<a href="/article/info:doi/10.1371/journal.pdig.0000936#pdig.0000936.ref004" target="_blank">4</a>] is shortness of breath and elevated C-reactive protein levels. …"

Expression levels of mRNA in the spinal cord of each group of rats. حسب Yufeng He (5673119)

Scatter plots showing the variations in impurity elements with TiO₂ and MgO contents. حسب Gabriel Prates Hallal (19555976)

Code and raw data used in this study. حسب Zhuolin Yang (14658411)

Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. حسب Jia Wei (120974)

"…<p>The columns indicate specific combinations, with filled circles denote an algorithm being positive in each combination. Codes: CAP primary diagnostic codes; Indication: CAP antibiotic indication; Radiology: chest X-ray report or CT scan report; Tests: shortness of breath and elevated C-reactive protein levels.…"

Image processing algorithm. حسب Madison Shoraka (22171205)

RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices حسب RealBench RealBench (22275393)

"…<br>│ └── level4/ # Level 4 projects (expert complexity).<br>├── src/ # Main source code for the RealBench framework.…"

Comparison of mAP curves in ablation experiments. حسب Xiaozhou Feng (2918222)

"…Experimental results on a self-constructed dataset demonstrate the improved model efficacy, achieving 92.0% precision, 80.8% recall, 87.0% mean Average Precision (mAP@0.5), and 81.79 FPS detection speed. Compared to the original YOLOv8 model, the improved algorithm shows increases of 2.2% in precision, 0.6% in recall, and 2.0% in mAP@0.5, with a detection speed improvement of 65.48 FPS. …"

Mean values of different benchmark functions. حسب Jalal- ud-Din (21474307)

الموضوعات:

Detail of benchmark functions comparison. حسب Jalal- ud-Din (21474307)

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Average execution time (in seconds) of different benchmark functions. حسب Jalal- ud-Din (21474307)

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Stander deviation values of different benchmark functions. حسب Jalal- ud-Din (21474307)

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Comparison of different crossover operators. حسب Jalal- ud-Din (21474307)

الموضوعات:

Simulated E-Field maps using the standard basis (“channel coordinates”) and the low-SAR <i>L</i> basis vectors of Table 3. حسب Maryam Arianpouya (12299222)

الموضوعات:

<b>Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</b> حسب Yize Wang (19535173)

"…<p dir="ltr">The farm-level yaw control optimization algorithm Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</p>…"

Calibration capacitors (see Fig 2C), phases for the benchtop test, and <i>S</i>_<i>nn</i> scattering parameters with analogous phase MRI calibration values for each eleme... حسب Maryam Arianpouya (12299222)

الموضوعات:

Accuracy of different electrical and optical neural networks for various input noise levels. حسب Reyhane Ahmadi (14857363)

Code حسب Baoqiang Chen (21099509)

Whole slide images classification code. حسب Yaëlle Bellahsen-Harrar (22139194)