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6,452 results for “Application”
Comparative Analysis of Intraoperative Imaging Technologies in Neurosurgical Applications
<p><br>The image provides a comparative overview of four different intraoperative imaging technologies utilized in neurosurgery and other medical fields: Intraoperative CT (Computed Tomography), Intraoperative MRI (Magnetic Resonance Imaging), Intraoperative USG (Ultrasonography), and O-Arm Imaging System.I have created it based on my 15 years of experience working first hand with them, individually. </p><p><strong>Intraoperative CT</strong> offers high-resolution imaging and excellent bone detail, making it suitable for a broad range of applications including neurosurgery, orthopedics, and trauma. It is relatively fast but involves radiation exposure, which is a consideration in pediatrics and repeated procedures. The installation cost ranges from approximately $1 to $2.5 million, with moderate running costs.</p><p><strong>Intraoperative MRI</strong> is noted for its superior soft tissue contrast and is most ideal for brain, spinal cord, and nerve imaging. It is primarily used in neurosurgery and has higher installation and running costs, approximately $2 to $4 million, partly due to the need for maintenance and staff. Its benefits include excellent soft tissue detail and the absence of radiation exposure, but it has longer scan times and is sensitive to movement.</p><p><strong>Intraoperative USG</strong> is good for real-time imaging and is mostly used for abdominal, cardiac, and biopsy procedures. It is safe, with no radiation exposure, and comfortable for patients. Its cost-effectiveness is highlighted, with equipment costs ranging from $20,000 to $100,000, and it has low running costs. However, it has limited bone imaging capabilities and depth resolution.</p><p><strong>O-Arm Imaging System</strong> provides high-quality 2D and 3D images, making it suitable for spinal and orthopedic surgery. Its installation cost is similar to that of intraoperative CT, between $1 to $2.5 million, with moderate running costs. It offers fast imaging and is adaptable to surgical workflow but requires a specific OR setup compatible with navigation systems.</p><p>Each technology has its specific benefits and limitations, with the choice of the appropriate imaging system depending on the surgical situation, patient safety considerations, and cost factors.</p>
Dataset "Optomechatronics design for mobile fringe patterns with applications on profilometry"
<p>This dataset contains a total of 28,512 structured light projection images over expanded polystyrene commercial skull, each image with a different structured light projection. This images can be used for stereoscopic techniques or profilometry.</p> <p> </p>
Unlocking twofold oxidation in phenothiazine polymers for application in symmetric all-organic anionic batteries
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Nanotechnology Applications in Interior Design of hospitals to enhance thermal comfort and decrease the infection spread for the occupants
<p>The interior design process, especially the selection of materials, plays a pivotal role in ensuring a hygienic and safe environment within healthcare facilities. Walls, floors, ceilings, and furniture materials are key elements that contribute to the overall design, impacting the well-being of patients. Recognizing the importance of this phase, a study was conducted to investigate the application of nano materials in healthcare facility interior design in Egypt.</p>
Figure 2 from: Hasanuddin DNA, Garmana AN, Sasongko L (2024) HPLC method for the determination of nifedipine in rat plasma: development, validation, and application to pharmacokinetic drug-herb interaction study. Pharmacia 71: 1-6. https://doi.org/10.3897/pharmacia.71.e119198
Figure 2 Calibration plot of nifedipine in plasma.
cigFacies: a massive-scale benchmark dataset of seismic facies and its application
<p>cigFacies is a dataset create by the <a href="https://cig.ustc.edu.cn/main.htm">Computational Interpretation Group (CIG)</a> for the AI-based automatic seismic facies classification in 3-D seismic data, <a href="https://cig.ustc.edu.cn/hui/list.htm">Hui Gao</a>, <a href="https://cig.ustc.edu.cn/xinming/list.htm">Xinming Wu</a>, <a href="http://cig.ustc.edu.cn/xiaoming/list.htm">Xiaoming Sun</a> and Mingcai Hou are the main contributors to the dataset.</p> <p>This is the benchmark skeletonization datasets of seismic facies, guided by the knowledge graph of seismic facies and constructed from three different stategies (field seismic data, synthetic data and GAN-based generation).</p> <p>Below are some brief desription of the datasets:</p> <p>1) The "The benchmark skeletonization datasets" file consists of 5 classes of seismic facies.</p> <p>2) The "parallel_class", "clinoform_class", "fill_class", "hummocky_class" and "chaotic_class" consist of 2000, 1500, 1500, 1500, 1500 stratigraphic skeletonization data constructed from field seismic data, synthetic data and GAN-based generation, respectively.</p> <div> <div> <div> <p>The source codes for constructing the benchmark dataset of seismic facies and deep learning for seismic facies classification have been uploaded to Github and are freely available at <a href="https://github.com/huigcig/cigFaciesNet">cigFaciesNet</a>.</p> </div> </div> </div> <p> </p> <p> </p>
Application of large language models in radiology: evaluating longitudinal diagnostic yield of imaging for abdominal pain.
<p>Annotated dataset belonging to the paper "Application of large language models in radiology: evaluating longitudinal diagnostic yield of imaging for abdominal pain".</p>
Model output for "A high-resolution physical-biogeochemical model for marine resource applications in the Northern Indian Ocean (MOM6-COBALT-IND12)"
<p>This dataset contains the numerical model output files used in the analysis described in "A high-resolution physical-biogeochemical model for marine resource applications in the Northern Indian Ocean (MOM6-COBALT-IND12)"</p>
Database for N2O emissions after EOM application
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Research on the factors influencing tourist loyalty to outdoor music festivals: An application of stimulus-organism-response paradigm
<p>The Strawberry Music Festival, a local event in China, has been hosted in major cities nationwide since early 2024. Its growth has not only increased brand recognition but also stimulated economic and cultural development in its host cities. The festival’s themes of "spring, romance, and love" reflect attitudes and cultural ideals that resonate with many music enthusiasts, particularly the youth.</p> <p>The research was conducted in Shenyang, Liaoning Province, a city known for its rich history, modern urban style, and thriving music scene. The 2023 Shenyang Strawberry Music Festival, branded as "Hello, Shenyang!" spanned two days and attracted over 40,000 attendees with its impressive lineup, striking stage design, and four vibrant performances. Approximately half of the visitors traveled from other cities, bringing a substantial boost to Shenyang's cultural, tourism, and economic sectors. This study focused on participants of the 2023 Shenyang Strawberry Music Festival. At the festival's end, researchers used convenience sampling at the exits to recruit departing attendees for data collection, a process that took 20 to 25 minutes per participant. Only individuals aged 18 and older were included in the study. Following the recommendation of a minimum of 200 samples for structural equation modeling, we collected 673 usable responses, exceeding the suggested sample size for robust data analysis.</p>
Dataset used in the paper "EEG SIGNAL PROCESSING IN MI-BCI APPLICATIONS WITH IMPROVED COVARIANCE MATRIX ESTIMATORS"
<pre>This material is associated with the PhD Thesis of Javier Olias (which is supervised by Sergio Cruces & Ruben Martin) and the paper: <br>J. Olias, R. Martín-Clemente, M. A. Sarmiento-Vega and S. Cruces, "EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators," in <em>IEEE Transactions on Neural Systems and Rehabilitation Engineering</em>, vol. 27, no. 5, pp. 895-904, May 2019, doi: 10.1109/TNSRE.2019.2905894.<br> </pre> <div> <div> <div> <div> <p>The paper can be downloaded in open-access format from the following websites:</p> <p>https://hdl.handle.net/11441/154861</p> </div> </div> </div> </div> <div> <div> <div>https://ieeexplore.ieee.org/document/8688582</div> </div> </div>
Figure 1 from: Yordanov Y (2019) Caffeic acid phenethyl ester (CAPE): pharmacodynamics and potential for therapeutic application. Pharmacia 66(3): 107-114. https://doi.org/https://doi.org/10.3897/pharmacia.66.e38573
Figure 1 Chemical structure of CAPE.
Learning the Characteristics of Engineering Optimization Problems with Applications in Automotive Crash
<p>Oftentimes the characteristics of real-world engineering optimization problems are not well understood. In this paper, we introduce an approach for characterizing highly nonlinear and Finite Element (FE) simulation-based engineering optimization problems, focusing on ten representative problem instances from automotive crashworthiness optimization. By computing characteristic Exploratory Landscape Analysis (ELA) features, we show that these ten crashworthiness problem instances exhibit landscape features different from classical optimization benchmark test suites, such as the widely-used Black-Box Optimization Benchmarking (BBOB) problem set. Using clustering approaches, we demonstrate that these ten problem instances are clearly distinct from the BBOB test functions. Further analysis of the crashworthiness problem instances reveal that, as far as ELA concerns, they are most similar to a class of artificially generated functions. We identify such artificially generated functions and propose to use them as scalable and fast-to-evaluate representatives of the real-world problems. Such artificially generated functions could be used for the automated design of an optimization algorithm for specific real-world problem classes.</p>
Here's the Dirt: First Applications of Confocal Microscopy for Quantifying Microwear on Experimental Ground Stone Earth Working Tools
<p>Quantitative microscopy characterizing the surface texture of wear traces has helped develop a more standardized chipped stone tool microwear practice. However, to date, these surface metrology methods have not been used to characterize ground stone tool surfaces. To expand the range of raw materials and tool types tested with these methods, we explore the application of imaging confocal microscopy for the quantification of an assemblage of experimental hoes, modeled after Late Neolithic and Early Bronze Age artifacts from China. Surface texture properties of sediment wear are compared to wear from wooden hafts to identify whether confocal microscopy can distinguish between different wear types. The results show that there is a significant difference between sediment and hafting wear and suggests further research is needed to identify how experimental conditions affect polish measurements within wear types. This preliminary study indicates that imaging confocal microscopy has excellent potential for the quantification of microwear traces on ground stone tools and may contribute to our understanding of earth working tools in prehistory.</p>
APPLICATION OF DIELECTRIC AND CONDUCTIVE EPITAXIAL FILMS IN SILICON TECHNOLOGY
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APPLICATION OF STEAM IN INSTITUTIONS OF EDUCATION
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THE ARTISTIC-METHODICAL APPLICATION OF SATIRE
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RIS application at EDGE nodes
<p>The dataset contains Channel State Information of RIS-assisted wireless environments, together with configuration indexes as labels. Specifically, it provides realizations of the channels 'h' and 'g' from a single antenna transmitter to the RIS and the RIS to the single antenna receiver, respectively. Each realization is labeled by the optimal RIS configuration that maximizes the receiver’s rate. </p> <p>The target group for this dataset can typically be engineers and researchers from wireless communications, signal processing, and machine learning. The rate-maximization by tuning the reflecting elements of RISs in a RIS setting is a combinatorial optimization problem, and therefore to compute an approximate configuration for the reflecting elements in an efficient manner is of crucial importance in practice. In this respect, the above dataset can be used to train a neural network for efficiently computing a reasonable configuration for reflecting elements. The dataset is not based on real channel measurements. It is worth pointing out that the use is recommended solely to build insights into the benefits of ML-assisted RIS in a wireless network setting.</p>
Synthesis of Hybrid Tin-Based Perovskite Microcrystals for LED Applications. Dataset.
<p>Dataset of manuscipt: <span>J. Sanchez-Diaz</span>, <span>J. Rodriguez-Pereira</span>, <span>S. Das Adhikari</span>, <span>I. Mora-Seró</span>, <span>Synthesis of Hybrid Tin-Based Perovskite Microcrystals for LED Applications</span>. <em>Adv. Sci.</em> <span>2024</span>, 2403835. <a href="https://doi.org/10.1002/advs.202403835">https://doi.org/10.1002/advs.202403835</a></p> <p>https://onlinelibrary.wiley.com/doi/10.1002/advs.202403835</p>
Dataset for "Shielded laser writing enables the simultaneous growth and transfer of glassy graphene onto silicon for gas sensing applications"
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ScienceDex guides
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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.