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5,573 results for “optimality”
Fig. 2. The structures from S in Sesquiterpenoids and their quaternary ammonium hybrids from the mycelium of mushroom Stereum hirsutum by medium optimization
Fig. 2. The structures from S. hirsutum FP-91666 cultured on WGB medium.
A Genetic Algorithm Optimization for Fracture Length to Prevent Subsurface Interference during drilled cuttings reinjection Files
<p>The files associated with the publication.</p>
Characterization, modelling, and optimization of high-performance nano-columnar micro–Solid Oxide Cell oxygen electrodes
<p>Dataset containing all the data used in the article entitled "Characterization, modelling, and optimization of high-performance nano-columnar micro–Solid Oxide Cell oxygen electrodes".</p>
Comparison of Low-budget Black-box Optimization Algorithms on BBOB
<p>Data to replicate the results presented in the paper "Low-budget Black-box Optimization Algorithms in BBOB and OpenAI Gym", submitted to IEEE Transactions on Evolutionary Computation. Here, we offer the data comparing Black-Box Optimization tools for machine learning with more classical heuristics on the well-known BBOB benchmark suite from the COCO environment (24 noiseless functions with different landscape characteristics: uni/multi-modality, separability, good/weak global structure, etc.)</p>
TRIGONOMETRIK WEIGHT OPTIMAL KVADRATUR OF THE FORMULA OF THE ERROR FUNCTIONAL OF NORM
Open the record for dataset details and reuse information.
Requirement Optimization of Proximity Operations for Active Debris Removal Missions Considering Both GNC and Capture System Constraints
<p>Original figures for MBSE.</p>
Data and code for, "Large language models design sequence-defined macromolecules via evolutionary optimization"
<div> <pre># Codes and data for "Large language models design sequence-defined macromolecules via evolutionary optimization"<br><br>Note this repository contains codes and data files for the manuscript. This is a snapshot of the repository, frozen at the time of submission.<br><br># Codes<br><br>## LLM codes<br>- `run_claude.py` - the routine for performing LLM-based rollouts; intended for command line execution using argparse<br>- `message_utils.py` - utilities for constructing and parsing messages for LLM I/O<br>- `model_utils.py` - lightweight utilities for retrieving formatted predictions from the RNN ensemble<br>- `target_defs.py` - defines the sequence, locations, and natural language descriptions of the target structures<br>- `ask_about_oracle.ipynb` - asks the LLM to speculate about the nature of the optimization task<br><br>## other algorithms<br>- `active_learning.ipynb` - use EI acquisition with RF surrogate to label new sequences; includes an unused tokenization scheme<br>- `evolutionary_algorithm.ipynb` - use DEAP library to perform evolutionary optimization<br>- `random_sampling.ipynb` - sample sequences randomly from all possible sequences<br><br>## postprocessing<br>- `process_aggregated_logs.py` - reads data from the raw log files and prepares them for visualization<br>- `process_sample_rollouts.py` - reads data from the raw log files and prepares individual rollouts<br><br>## visualization<br>- `figure1b.ipynb` - renders panel b of Fig. 1<br>- `figure1efg.ipynb` - renders the last row of Fig. 1 (panels e-g)<br>- `figure2.ipynb` - renders all of Fig. 2<br>- `figure_si.ipynb` - renders Figs. S1 and S2<br>- `figure_md_validation.ipynb` - renders Fig. S3<br><br># Data files<br><br>- `prompts/`<br> - `prompt-scientific-v4.4.yml` - the full text of the scientific prompt, to be read by `run_claude.py`<br> - `prompt-oracle-v4.4.yml` - the full text of the oracle prompt, to be read by `run_claude.py`<br>- `models/` - the TorchScript RNN models used to make predictions<br>- `data/`<br> - `embeddings` - calculated embeddings for a collection of sequences from our prior work<br> - `llm-logs` - the raw logs obtained from the Claude 3.5 Sonnet LLM (other algorithms made to look like the LLM logs after the fact)<br> - `llm-logs-opus` - the raw logs obtained from the Claude 3.0 Opus LLM (used in the first draft of the article, replaced by Claude 3.5 Sonnet) <br> - `all-rollouts-kltd.csv` - postprocessed logs for all the rollouts using the "top $k < d^*$" metric<br> - `all-rollouts-topkd.csv` - postprocessed logs for all the rollouts using the "mean $d$ for top $k$" metric<br> - `sample-rollout-membranes-x-3.csv` - postprocessed logs for a single rollout replica, `x` = each algorithm type<br> - `snapshots` - png snapshots of MD simulation results at different locations in the manifold</pre> </div>
Research on the Optimization of Treatment for Spinal Metastases With Radioactive Particle Implantation Using TPS and Mechanical Dual Simulation
ClinicalTrials.gov study NCT07171996. IPD Sharing: YES. Countries: 1. Publications: 0.
A Study to Identify an Optimal Dose of QCZ484 in Mild to Moderate Hypertensive Patients
ClinicalTrials.gov study NCT06857955. IPD Sharing: YES. Countries: 3. Publications: 0.
Optimal Location of Nerve Block to Minimize Perioperative Opioid Administration in ACL Surgery: Comparing True Adductor Canal to Proximal Block
ClinicalTrials.gov study NCT03401450. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimizing PrEP Uptake & Adherence Among Male Sex Workers (MSW) Using a 2-stage Randomization Design
ClinicalTrials.gov study NCT03086057. IPD Sharing: YES. Countries: 1. Publications: 0.
Assessment of Medication Optimization in Rural Kentucky Appalachian Patients With Mild Cognitive Impairment or Dementia
ClinicalTrials.gov study NCT05078437. IPD Sharing: YES. Countries: 1. Publications: 0.
Optimal Catheter Placement During Sonohysterography: Comparison of Cervical to Uterine Placement
ClinicalTrials.gov study NCT00534963. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Regimen Optimization Study
ClinicalTrials.gov study NCT02137239. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Optimization of Desflurane in Elderly Patients
ClinicalTrials.gov study NCT01700907. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimizing the Diagnostic Approach to Cephalosporin Allergy Testing
ClinicalTrials.gov study NCT06406114. IPD Sharing: YES. Countries: 1. Publications: 0.
Optimizing Fibromyalgia Self-management
ClinicalTrials.gov study NCT00321659. IPD Sharing: NO. Countries: 0. Publications: 2.
Real-time Optimized Biofeedback Utilizing Sport Techniques
ClinicalTrials.gov study NCT02754700. IPD Sharing: UNDECIDED. Countries: 0. Publications: 2.
Mothers' Own Milk Optimization for Preterm Infants Project (MoMO PIP) Pilot Study
ClinicalTrials.gov study NCT04629534. IPD Sharing: NO. Countries: 1. Publications: 0.
Biomarker-Led Optimization of Successful Surgical Outcomes in Moyamoya
ClinicalTrials.gov study NCT06634004. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.