Trace plots of estimated prevalence, sensitivity, and specificity of each algorithm of Model-3 in the primary analysis. by 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. by Yufeng He (5673119)

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

Comparison of mass attenuation coefficient calculated by Geant4 simulation and acquired from NIST data. by Dong Hyeok Choi (12562048)

Morphisms of group objects that satisfy the existence of a right inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

Morphisms of group objects that satisfy the existence of a left inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

Observed and predicted frequency of each algorithm combination of community-acquired pneumonia (CAP) in Model-3 in the primary analysis. by 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.…”

Composition spectrum of primary ilmenite based on microanalysis of the elemental composition of the grains with an EDS sensor. by Gabriel Prates Hallal (19555976)

Data for Figs 3–9. by Xiaogang Li (299205)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Image processing algorithm. by Madison Shoraka (22171205)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

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

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

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

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

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

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

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

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Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy. by Yali Chen (24494)

“…<p>Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy.…”