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4,578 results for “Assistance”
NaOH-assisted hydrothermal reduction of graphene oxide
<p><span>The influence of the pH of the reaction medium on the structural characteristics of hydrothermally reduced graphene oxide, synthesized by the Tour method, has been investigated. Varying the pH of the reaction medium within the range of 8.0, 10.0 and 12.0 (adjusted with NaOH) has revealed distinct effects on the morphology and properties of the resulting reduced graphene oxide. At a pH of 8.0 the hydrothermal treatment yielded reduced graphene oxide comprising of two particle fractions with a thickness equivalent to 4-5 graphitic layers each. In contrast, pH of 10.0 resulted in two particle fractions corresponding to 2–3 and 4 layers, respectively, while pH of 12.0 produced a single fraction with a particle thickness of 0.70 nm, encompassing 3 graphitic layers. Increasing the pH led to a decrease in the average lateral size of reduced graphene oxide particles to about 8 nm. All rGOs had micro- and mesopores with a specific surface area up to 226 m<sup>2</sup>/g, showing a proportional increase in mesopores with increasing pH. Analysis of slit-like micropores revealed a minimum fractal dimension (<em>D</em> = 2.18) at pH = 8.0. The obtained results provide valuable insights into tailoring the structural properties of hydrothermally reduced graphene oxide by controlling the pH of the reaction medium, offering potential applications in various fields, including nanotechnology and materials science.</span></p>
Spectral and computational dataset for "Hydrogen-atom-assisted processes on thioacetamide in para-H2 matrix – Formation of thiol tautomers"
<p>TA-pH2_exp.zip: IR spectral data (both blank and 'real' experiments) including difference spectra, lab note files</p> <p>TA-pH2_calc.zip: Gaussian job and output files</p>
data for "Molten Salt-Assisted synthesis of Titanium Nitride"
<p>data supporting the main text figures:</p> <p>Figure 1. A) XRD patterns of solid state metatheses at 1000, 600, or at 600 °C with the addition of two equivalents Mg. B) XRD patterns of synthesesin different molten salts (1.25 mmol of TiO2 in 544 mg of salt, yielding a titanium molality of 2.3 mol kg –1 ) with additional Mg. References of TiN (ICSD26947), TiO 2 (ICSD 9161), and silicon are indicated in blue, red, and green, respectively. The diffraction patterns were normalized to the internal siliconreference.</p> <p>Figure 2. XRD patterns for 12 or 3 h reactions of TiO 2 with A) Mg3 N2 or B) Ca 3 N2 at various temperatures in ZnCl 2 –LiCl molten salt (3 equivalentssalt). Two equivalents of magnesium were added in each case, except for the solid-state metathesis reactions at 1000 °C. References of TiN, TiO 2 , andsilicon are indicated in blue, red, and green, respectively. The diffraction patterns were normalized to an internal silicon reference for the reactions withCa 3 N2 </p> <p>Figure 3. A) UV–vis absorption spectra of the TiN particles dispersed in various solvents. Inset: the top of the LSPR band in function of the refractiveindex of each solvent and B) TEM image for TiN synthesized at 350 °C through a standard 12 h molten salts-assisted reaction.</p>
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Open the record for dataset details and reuse information.
An adaptive and interpretable modeling architecture assisted rapid and reliable consensus prediction for hazardous properties of chemicals
<p>*the computational results of interpretable cases are available in the supporting information for interpretable case.xlsx ;</p> <p>*the training dataset is utilized for model training while the validation dataset is utilized for evaluating. </p>
Experimental Results for the SoCS 2024 Paper: "Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions"
<p>This collection contains all the experimental results produced in the empirical evaluation for the paper "Modeling Assistance for Hierarchical Planning: An Approach for Correcting Hierarchical Domains with Missing Actions", accepted by The 17th International Symposium on Combinatorial Search (SoCS 2024). For a detailed description about this collection, please read the README file. </p>
Towards a Flying Assistant Paradigm: the OTHex
<p>This folder contain the data relative to the bar lifting experiment presented on Staub et al. "Towards a Flying Assistant Paradigm: the OTHex". <em>IEEE 2018 International Conference on Robotics and Automation (ICRA)</em>, May 2018, Brisbane, Australia. 2018.</p>
Fig. 3 in How far do tadpoles travel in the rainforest? Parent-assisted dispersal in poison frogs
Fig. 3 Boxplot illustrating the difference in distance between the observed tadpole transport distances and the nearest known pool available for each tracked frog and species. Asterisks denote statistically significant differences based on Mann-Whitney-Wilcoxon and Wilcoxon Signed-Rank Tests (p <0.05). (Color figure online)
Fig. 1 in How far do tadpoles travel in the rainforest? Parent-assisted dispersal in poison frogs
Fig. 1 Photographs of the two study species: a Ameerega trivittata and b Dendrobates tinctorius transporting tadpoles while wearing a radio-transmitter. Ameerega trivittata typically transports 15–30 tadpoles while D. tinctorius only transport one or two tadpoles. The numbers and arrows indicate: (1) tadpoles, (2) radio-transmitter, and (3) a silicone waistband for attachment. (Color figure online)
Fig. 2 in How far do tadpoles travel in the rainforest? Parent-assisted dispersal in poison frogs
Fig. 2 Map of the study area showing the movements during the tadpole transport of a seven A. trivittata males and b 11 D. tinctorius males. Blue circles represent confirmed tadpole deposition sites; house symbols represent approximated start location of the tadpole transport; each line corresponds to a transport event and each color represents a different individual. a Blue solid and dashed lines mark creek beds, which provided most deposition sites; dotted area corresponds to the forest edge. The shown trajectories do not represent complete movement patterns because some frogs were first detected already outside their home areas and near the deposition sites. Note the difference in map scales between the two species. (Color figure online)
Adaptive planning for assistive-care robotic missions - use case 1
<p>Videos of scenarios A and B from Use Case 1 (UC1), recreated in a digital environment using the <a href="https://gazebosim.org/home">Gazebo</a> simulator and our adaptive path-finding framework.</p>
Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method
<p>Replication package of the paper: "Do AI assistants help students write formal specifications? A study with ChatGPT and the B-Method." <br>Submitted to the 37th edition of the IEEE Conference on Software Engineering Education and Training (CSEE&T), co-located with ICSE 2025. </p>
Dataset used in "Deamidation analysis of Therapeutic Drugs using Matrix-assisted Laser Desorption Ionization Mass Spectrometry and A Novel Algorithm QuanDA"
<p><span>Overview</span></p> <p><span>Theoretical MALDI spectra of peptides, both before and after deamidation, are crucial for the analysis of real samples. QuanDA is a method utilizing non-negative least squares to calculate the percentage of deamidation during the aging process of standard peptides and therapeutic drugs.</span></p> <p><span>Dataset Description</span></p> <p><span>The `data` directory contains example datasets specifically designed for analyzing peptide deamidation:</span></p> <p><span>D.txt: Simulated spectra of the pure synthetic peptide Pep-D.</span></p> <p><span>N.txt: Simulated spectra of the pure synthetic peptide Pep-N.</span></p> <p><span>Asn2Asp18: Contains 10 measurements from a sample comprising 10% Pep-N and 90% Pep-D.</span></p> <p><span>Asn18Asp2: Comprises 10 measurements from a sample with 90% Pep-N and 10% Pep-D.</span></p> <p><span>Peptide Sequences: Pep-N: YTHQGLSSPVTKSFNRGE; Pep-D: YTHQGLSSPVTKSFDRGE</span></p> <p><span>These synthetic peptides are utilized to investigate deamidation behavior.</span></p> <p><span>Somatostatin Dataset: Contains data from actual samples analyzed over 0-13 days under physiological conditions (pH 7.4, 37°C) and storage conditions (pH 4, 4°C). This dataset includes theoretical values before and after deamidation.</span></p>
Supplementary materials for the paper "Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward"
<p>This is supplementary materials for the paper "Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward". Please refer to README.txt for more information.</p>
Human vs. Machine: How Software Engineers Perceive and Engage with AI-Assisted Code Reviews Compared to Their Peers
<p>This Shared Document Package contains the supplementary materials package for the study, "Human vs. Machine: How Software Engineers Perceive and Engage with AI-Assisted Code Reviews Compared to Their Peers." The package contains all relevant documentation and materials utilized during the study, except interview transcripts. Documents shared in this packes are to assist the readers understand and verify the research protocol and data collection process. It contains:</p> <ol> <li>README file</li> <li>Questionnaire for interview pre-selection</li> <li>Participants’ submitted code snippets</li> <li>Code reviews submitted by participants</li> <li>ChatGPT 4.0-Generated code reviews</li> <li>Complete interview guide</li> <li>Member checking feedback data</li> </ol>
AI-Assisted Restoration of Yangshao Painted Pottery Using LoRA and Stable Diffusion
<p>Images related to the paper *AI-Assisted Restoration of Yangshao Painted Pottery Using LoRA and Stable Diffusion* and the specially trained LoRA model for restoring Yangshao pottery patterns.</p>
Likert-Skala for User friendly interaction in intelligent digital assistance systems.
<p>A dataset for a usability study.</p>
Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency: raw data and code
<p>Raw datasets and media accompanying the manuscript: <strong>Machine Learning-Assisted Sampling of SERS Substrates Improves Data Collection Efficiency</strong>: data, published in <em>Applied Spectroscopy </em>in 2021</p>
Source–sink dynamics assists the maintenance of a pollinating wasp
<p>Dispersal that unites spatially subdivided populations into a metapopulation with source–sink dynamics is crucial for species persistence in fragmented landscapes. Understanding such dynamics for pollinators is particularly urgent owing to the ongoing global pollination crisis. Here, we investigated the population structure and source–sink dynamics of a pollinating wasp (Wiebesia sp. 3) of Ficus pumila in the Zhoushan Archipelago of China. We found significant asymmetry in the pairwise migrant numbers for 22 of 28 cases on the historical timescale, but only 2 on the contemporary timescale. Despite a small population size, the sole island not colonized by a superior competitor wasp (Wiebesia sp. 1) consistently behaved as a net exporter of migrants, supplying large sinks. Comparable levels of genetic diversity, with few private alleles and low genetic differentiation (total FST: 0.03; pairwise FST: 0.0005–0.0791), were revealed among all the islands. There was a significant isolation-by-distance pattern caused mainly by migration between the competition-free island and other islands, otherwise the pattern was negligible. The clustering analysis failed to detect multiple gene pools for the whole region. Thus, the sinks were most likely organized into a patchy population. Moreover, the estimates of effective population sizes were comparable between the two timescales. Thus the source–sink dynamics embedded within a well-connected population network may allow Wiebesia sp. 3 to persist at a competitive disadvantage. This study provides evidence that metapopulations in the real world may be complicated and changeable over time, highlighting the necessity to study such metapopulations in detail.</p>
Usibility Test for User friendly interaction in intelligent digital assistance systems.
<p>Te Interview for usability test.</p>
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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.