ECE6327_SmartGrid حسب Xingpeng Li (11825663)

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Study flowchart. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Risk of bias graph. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Results of network meta-analysis. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

Characteristics of included studies. حسب Kaiyu Zhang (198799)

"…Currently, there is no study in which Bayesian network meta-analysis is applied to making a comparative analysis of efficacy of different combination therapies of α-RBs and traditional Chinese medicine external therapy in the treatment of CP/CPPS. Therefore, based on Bayesian algorithm, a network meta-analysis was conducted by us to make a comparison between different combination therapies of α-RBs and traditional Chinese medicine external therapy.…"

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

"…The chromatography protocol was based on previous studies, especially <a href="#CIT0031" target="_blank">Jain and Gould (2015<i>b</i></a>). …"

LinearSolve.jl: because A\b is not good enough حسب Christopher Rackauckas (9197216)

"…For dense matrices, LU-factorization, QR-factorization, and SVD-factorization approaches are all possible ways to solve this, each making an engineering trade-off between performance and accuracy. While with Julia's Base you can use lu(A)\b, qr(A)\b, and svd(A)\b, this idea does not scale to all of the cases that can arise. …"

Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential حسب Fengyang Han (14613218)

"…This information is useful to guide the construction of libraries for shape-based virtual screening and to improve the docking algorithm to efficiently sample bound conformations.…"

Distribution of Bound Conformations in Conformational Ensembles for X‑ray Ligands Predicted by the ANI-2X Machine Learning Potential حسب Fengyang Han (14613218)

"…This information is useful to guide the construction of libraries for shape-based virtual screening and to improve the docking algorithm to efficiently sample bound conformations.…"

Search for acetylcholinesterase inhibitors by computerized screening of approved drug compounds حسب T.A. Materova (22770138)

COSMO-Bench حسب Daniel McGann (18759496)

"…<p dir="ltr"><b><i>Abstract</i></b>: Recent years have seen a focus on research into distributed optimization algorithms for multi-robot Collaborative Simultaneous Localization and Mapping (C-SLAM). …"

Aluminum alloy industrial materials defect حسب Ying Han (20349093)

"…</p><p dir="ltr">Install PyTorch based on your system:</p><p dir="ltr">For Windows/Linux users with a CUDA GPU: bash conda install pytorch==1.10.0 torchvision==0.11.0 torchaudio==0.10.0 cudatoolkit=11.3 -c pytorch -c conda-forge</p><p dir="ltr">Install some necessary libraries:</p><p dir="ltr">Install scikit-learn with the command: conda install anaconda scikit-learn=0.24.1</p><p dir="ltr">Install astropy with: conda install astropy=4.2.1</p><p dir="ltr">Install pandas using: conda install anaconda pandas=1.2.4</p><p dir="ltr">Install Matplotlib with: conda install conda-forge matplotlib=3.5.3</p><p dir="ltr">Install scipy by entering: conda install scipy=1.10.1</p><h4><b>Repeatability</b></h4><p dir="ltr">For PyTorch, it's a well-known fact:</p><p dir="ltr">There is no guarantee of fully reproducible results between PyTorch versions, individual commits, or different platforms. …"

Otago's Network for Engagement and Research: Mapping Academic Expertise and Connections حسب Sander Zwanenburg (8552102)

"…<br></div><div><br></div><div>In the next stage of the project, we will develop further the data integration schemes, enhance our algorithm to infer expertise based on this data, and update the interactive visualisation to reflect these inferences. …"

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows حسب Pierre-Alexis DELAROCHE (22092572)

"…Experimental Methodology Framework Local Processing Pipeline Architecture Data Flow: Storage I/O → Memory Buffer → CPU/GPU Processing → Cache Coherency → Storage I/O ├── Input Vector: mmap() system call for zero-copy file access ├── Processing Engine: OpenMP parallelization with NUMA-aware thread affinity ├── Memory Management: Custom allocator with hugepage backing └── Output Vector: Direct I/O bypassing kernel page cache Cloud Processing Pipeline Architecture Data Flow: Local Storage → Network Stack → TLS Tunnel → CDN Edge → Origin Server → Processing Grid → Response Pipeline ├── Upload Phase: TCP window scaling with congestion control algorithms ├── Network Layer: Application-layer protocol with adaptive bitrate streaming ├── Server-side Processing: Containerized microservices on Kubernetes orchestration ├── Load Balancing: Consistent hashing with geographic affinity routing └── Download Phase: HTTP/2 multiplexing with server push optimization Dataset Schema and Semantic Structure Primary Data Vectors Field Data Type Semantic Meaning Measurement Unit test_type Categorical Processing paradigm identifier {local_processing, cloud_processing} photo_count Integer Cardinality of input asset vector Count avg_file_size_mb Float64 Mean per-asset storage footprint Mebibytes (2^20 bytes) total_volume_gb Float64 Aggregate data corpus size Gigabytes (10^9 bytes) processing_time_sec Integer Wall-clock execution duration Seconds (SI base unit) cpu_usage_watts Float64 Thermal design power consumption Watts (Joules/second) ram_usage_mb Integer Peak resident set size Mebibytes network_upload_mb Float64 Egress bandwidth utilization Mebibytes energy_consumption_kwh Float64 Cumulative energy expenditure Kilowatt-hours co2_equivalent_g Float64 Carbon footprint estimation Grams CO₂e test_date ISO8601 Temporal execution marker RFC 3339 format hardware_config String Node topology identifier Alphanumeric encoding Statistical Distribution Characteristics The dataset exhibits non-parametric distribution patterns with significant heteroscedasticity across computational load vectors. …"

Performance of Artificial Intelligence in Detecting Diabetic Macular Edema from Fundus Photographs and Optical Coherence Tomography Images: A Systematic Review and Meta-analysis حسب Ching Lam (14590970)

"…</a>PROSPERO registration number: CRD42021276009</p><p dir="ltr"><b>Data sources: </b>We searched 7 electronic libraries up to 12^th February, 2023.…"

R‑BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes حسب Brittany S. Morgan (7554242)