216 research outputs found
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
Get PDFThe priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
Multimodal imaging of torpedo-shaped fundus lesions: New insights
No full textThe purpose of this case series is to describe the varied presentation of Torpedo lesions of the fundus and multimodal imaging features in three eyes of three patients. Two patients presented with typical topography, i.e., temporal to the fovea. One patient revealed lesion inferonasal to disc with the head pointing toward the disc. All three patients had an attenuation of outer retinal layers on optical coherence tomography. One patient showed an additional large subretinal cleft. Variable hypoautofluorescence in the area of the torpedo was noted. To conclude torpedo lesions can present at atypical locations, have both retinal and choroidal atrophy and head point toward the optic disc
Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
No full text<h2>Abstract</h2>
<p>The remarkable progress of deep learning in dermatological tasks has brought us closer to achieving diagnostic accuracies comparable to those of human experts. However, while large datasets play a crucial role in the development of reliable deep neural network models, the quality of data therein and their correct usage are of paramount importance. Several factors can impact data quality, such as the presence of duplicates, data leakage across train-test partitions, mislabeled images, and the absence of a well-defined test partition. In this paper, we conduct meticulous analyses of three popular dermatological image datasets: DermaMNIST, its source HAM10000, and Fitzpatrick17k, uncovering these data quality issues, measure the effects of these problems on the benchmark results, and propose corrections to the datasets. Besides ensuring the reproducibility of our analysis, by making our analysis pipeline and the accompanying code publicly available, we aim to encourage similar explorations and to facilitate the identification and addressing of potential data quality issues in other large datasets.</p>
<h2>Citation</h2>
<p>If you find this project useful or if you use our newly proposed datasets and/or our analyses, please cite our paper.</p>
<blockquote>
<pre>Kumar Abhishek, Aditi Jain, Ghassan Hamarneh. "Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets". arXiv preprint arXiv:2401.14497, 2024. DOI: 10.48550/ARXIV.2401.14497.</pre>
</blockquote>
<p>The corresponding BibTeX entry is:</p>
<blockquote>
<p><code>@article{abhishek2024investigating,</code><br><code> title={Investigating the Quality of {DermaMNIST} and {Fitzpatrick17k} Dermatological Image Datasets},</code><br><code> author={Abhishek, Kumar and Jain, Aditi and Hamarneh, Ghassan},</code><br><code> journal={arXiv preprint arXiv:2401.14497},</code><br><code> doi = {10.48550/ARXIV.2401.14497},</code><br><code> url = {https://arxiv.org/abs/2401.14497},</code><br><code> year={2024}</code><br><code>}</code></p>
</blockquote>
<h2>Project Website</h2>
<p>The results of the analysis, including the visualizations, are available on the project website: <a href="https://derm.cs.sfu.ca/critique/" target="_blank" rel="noopener">https://derm.cs.sfu.ca/critique/</a>.</p>
<h2>Code</h2>
<p>The accompanying code for this project is hosted on GitHub at <a title="Corrected-Skin-Image-Datasets" href="https://github.com/kakumarabhishek/Corrected-Skin-Image-Datasets" target="_blank" rel="noopener">https://github.com/kakumarabhishek/Corrected-Skin-Image-Datasets</a>.</p>
<h2>License</h2>
<p>The DermaMNIST-E, DermaMNIST-C, and Fitzpatrick17k-C datasets contained in this repository are licensed under <a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener">the Creative Commons Attribution-NonCommercial 4.0 International (<strong>CC BY-NC 4.0</strong>) License</a>.</p>
<p>The code hosted on <a href="https://github.com/kakumarabhishek/Corrected-Skin-Image-Datasets" target="_blank" rel="noopener">GitHub</a> is licensed under <a href="https://github.com/kakumarabhishek/Corrected-Skin-Image-Datasets/blob/main/LICENSE" target="_blank" rel="noopener">the Apache License 2.0</a>.</p>
Enhanced discrimination of DNA molecules in nanofluidic channels through multiple measurements
Get PDFAuthor Manuscript 2013 March 21.Nanofluidic sensing elements have been the focus of recent experiments for numerous applications ranging from nucleic acid fragment sizing to single-molecule DNA sequencing. These applications critically rely on high measurement fidelity, and methods to increase resolution are required. Herein, we describe fabrication and testing of a nanochannel device that enhances measurement resolution by performing multiple measurements (>100) on single DNA molecules. The enhanced measurement resolution enabled length discrimination between a mixture of λ-DNA (48.5 kbp) and T7 DNA (39.9 kbp) molecules, which were detected as transient current changes during translocation of the molecules through the nanochannel. As long DNA molecules are difficult to resolve quickly and with high fidelity with conventional electrophoresis, this approach may yield potentially portable, direct electrical sizing of DNA fragments with high sensitivity and resolution.National Institutes of Health (U.S.) (Grant R21EB009180)United States. Air Force (Contract FA8721-05-C- 0002
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No full textABSTRACT: An accurate, precise and reproducible UV-spectrophotometric methods and liquid chromatographic assay method were developed and validated for the determination of Levofloxacin and Ornidazole in tablet dosage form. Spectrophotometric estimation was done by simultaneous equation method and 50 % methanol as solvent. In this method λmax for LEVO and OZ were selected at 293.5nm and 318nm. RP-HPLC analysis was carried out using Prontosil C-18 column (4.6 x 250mm, 5μ particle size) and mobile phase composed of Acetonitrile: 0.05 % Ortho-phosphoric acid in water pH 3.0 (45:55 % v/v)at a flow rate of 1.0 ml/min and chromatogram was recorded at 303 nm. Linearity was evaluated over the concentration range of 4-20 μg/ml and 8-40 μg/mL for LEVO and OZ in both UV spectrophotometric and RP-HPLC method (the value of r 2 Keywords
Stability of half-metallic behavior with lattice variation for Fe2-xCoxMnAl Heusler alloy
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