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4,841 results for “Generic”
Coefficients for Tight Logarithmic Approximations and Bounds for Generic Capacity Integrals
<p>This is a supplementary dataset for the publication:</p> <p>I. M. Tanash and T. Riihonen, "Tight Logarithmic Approximations and Bounds for Generic Capacity Integrals and Their Applications to Statistical Analysis of Wireless Systems," in <em>IEEE Transactions on Communications</em>, 2022, doi: 10.1109/TCOMM.2022.3198435.</p> <p>The dataset contains the sets of optimized coefficients for the novel minimax approximations of the Nakagami and lognormal capacity integrals in terms of absolute error. The proposed approximations have the form of a weighted sum of logarithmic functions. The optimized coefficients are found for a wide range of the corresponding fading parameters, namely m for the Nakagami capacity integral and σ (standard deviation) for the lognormal capacity integral. Please note that the optimized coefficients in the provided dataset for the lognormal capacity integral are calculated for σdB (standard deviation in decibels) so σ=0.1 log_e(10) σdB in Eq. 5.</p> <p>The Matlab function (func_extract_coef.m) extracts the required set of optimal coefficients from the provided dataset according to the selected capacity integral, the parameter's value, and the number of terms. See help func_extract_coef for more information.</p> <p>The Matlab script (general_any_func) implements the theory presented in the corresponding journal paper: More specifically, it implements solving Eq. 22 to calculate the optimized coefficients of Eq. 7 for the Nakagami capacity integral. The code also provides general comments on how to generalize it to obtain the optimized coefficients of any communication system in terms of absolute error. Number of supplementary Matlab functions (general_any_func, func_abs_gen_any_func, calc_d_gen, calc_Cappr_gen, calc_d_gen_derivative, calc_Cappr_gen_derivative, Gauss_Laguerre, and peakseek) are provided herein and are used in the main Matlab script.</p> <p>A Matlab script (Example.m) is also provided as an example to illustrate the use of the provided Matlab function (func_extract_coef.m) in extracting the required coefficients from the dataset, to calculate and plot the corresponding absolute error which is shown by figure Example.jpg.</p>
Generic Object Decoding (fMRI on ImageNet)
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Physiological parameters for three farm animal species (cattle, sheep, and swine) as the basis for the development of generic physiologically based kinetic models
<p><strong>IMPORTANT : PLEASE DISREGARD VERSION 1 OF THIS UPLOAD SINCE IT INCLUDES ERRONEOUS INFORMATION.</strong></p> <p>This excel file (DOI: 10.5281/zenodo.3433224) provides physiological parameters and their inter-individual variability (mean, coefficient of variation, sample size) for three farm animal species: cattle (<em>Bos taurus</em>), sheep (<em>Ovis aries</em>), and swine (<em>Sus scrofa domesticus</em>). These physiological parameters were estimated based on the results of extensive literature searches and specific experimental data described in Lautz et al., (2020). This file is associated with R codes (DOI: 10.5281/zenodo.3432796) for generic PBK models, partition coefficient Quantitative Structure Activity Relationship (QSAR) models for each farm animal species and parameterisation of the model.</p> <p>The full data collection and implementation of the models using case studies are described in Lautz et al., 2020 (10.1016/j.toxlet.2019.10.008).</p>
Towards a generic processingand presentation ofTEI encoded digital editions
<p>This dataset is the basis for the talk given at the TEI Member's Meeting 2014, Evanston, IL</p> <p>The abstract of the paper submitted:</p> <p>The set of XSL stylesheets provided and maintained by the TEI is relatively cautious about processing and presentation of transcriptions and content of digital editions. Only very basic functions are implemented, such as to surround abbreviations with brackets or to process from the element choice in plain mode only those children that represent the "critical" reading. Processing in plain mode means that the elements will be treated as in-line elements.[1]</p> <p>On the other hand the encoding must have been done with a special purpose. A general rule of text encoding is that the editor may encode only those structures and semantic features that he wants to process in the end. The processing might include elaborated examination and analysis of the encoded text or more complex queries as well as a reproduction of visual properties of the original document or provide a (simplified) reading text. Thus the encoding will tell something about the functionalities of the text in processing and presentation.</p> <p>According to Patrick Sahle's "Textrad"[2], "the" text does not exist in a transcription but the encoded text usually represents multiple properties and serves multiple purposes. Whatever the editor might state in some introductory notes and the documentation of the edition which should contain some statements about the encoding used, in the end the encoded text will speak on its own, can be interpreted and will be processed as is.</p> <p>In succession of the modelling of the TEI, realised in the modules, the grouping of elements and of attributes, the semantics of certain elements might let the processor estimate about the foreseen presentation, processing, and use:<br> - The elements <pb>, <lb>, <l>, <lg>, etc. as well as attributes @rend, @rendition or @style represent visual aspects of the text, therefore these might have to be reproduced; users may be given a choice to either see a document-centred view which visualises these aspects or switch to an editorial view on the text which eliminates these properties.<br> - The same applies to the element <choice>: If this is used the editor must have had in mind the opportunity to change the views on the document respectively encoded text.<br> - Entities encoded as <rs>, <name>, <persName>, <placeName>, etc might be referenced, especially if they are accompanied by the related list elements such as <listPerson>, <listPlace>, etc. Additionally, one might assume that there will be norm data available which allows for links into the open.<br> - Bibliographic records (<bibl>, <msDesc>) will serve a similar purpose and will have to be referenced.<br> - Quotations like <cit>, <foreign>, <q>, <quote> etc. will have to be distinguished from the surrounding text.</p> <p>Concerning the overall structure of an (critical) edition one might expect up to three apparatuses: The critical apparatus, the commentary and maybe a bibliographical apparatus. How many of these are present in a given edition is up to the editor but the presence of certain elements and especially of the amount of certain elements will give anybody an idea of how many apparatuses are "appropriate": If the encoding contains editorial elements like <choice>, <abbr>/<expan>, <add>/<del>, etc. the representation of this information in an apparatus will be inevitable. If a certain amount of bibliographic references point to biblical or classical texts the tradition of the publication of editions has provided a separate apparatus as well. Last, editorial notes will have to be distinguished from the former two categories.</p> <p>This paper will examine existing editions with statistical methods and by clustering the elements used it might be possible to assign the encoded text to one or more text types of Sahle's typology. Additionally, the paper shall foster the discussion about the presentation of an edited text according to the intended purpose of the encoding. On the basis of the typology and purpose of the edition it will be more likely that a generic presentation of any edited text is possible. Finally, with some statistical data about the editions some remarks about the interoperability of the TEI-encoded texts shall be possible.</p> <p>[1] e.g. https://github.com/TEIC/Stylesheets/blob/master/html/html_core.xsl</p> <p>[2] Patrick Sahle: Digitale Editionsformen, 3 vols. 2013, esp. vol. 3, p. 9ff.</p>
The generic nature of the condensed state of proteins | Talk - I PhasAGE International Conference
<p>The <strong>I PhasAGE international conference</strong> brought together members of the PhasAGE consortium as well as outstanding international speakers showcasing high impact achievements in the field of liquid-liquid phase separation in aging and late-onset diseases.</p> <p>For details on conference program please see: https://phasage.eu/phasage-conference-1/ </p>
A Comprehensive Review of ANDA Submissions and Amendments Under GDUFA: FDA Guidelines for the Generic Drug Industry
<p><span>This review provides an in-depth analysis of the Food and Drug Administration's (FDA) guidance document titled <em>ANDA Submissions — Amendments to Abbreviated New Drug Applications (ANDAs) Under the Generic Drug User Fee Amendments (GDUFA)</em>, released in September 2024. The document serves as a comprehensive guide for the pharmaceutical industry, detailing the FDA's expectations regarding the classification, submission, and assessment of amendments to ANDAs and Prior Approval Supplements (PASs). The review discusses key elements of the guidance, including amendment categories (major, minor, and unsolicited), assessment timelines, the process for reclassification of amendments, and potential deficiencies in submissions. The guidance also addresses changes in classifications and assessment goals, deferred amendments, and best practices for ensuring timely FDA approval. This review aims to clarify the FDA’s current thinking on ANDA submissions under GDUFA and the practical implications for generic drug manufacturers seeking to comply with the established regulations.</span></p>
Data, code and software to reproduce the article entitled "Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model"
<p>This is the data, code and software to reproduce the article entitled " Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model". Here is a summary of the paper:</p> <p>The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits to avoid or limit the use of chemical inputs or increase the production per surface unit. Predicting the existence and magnitude of those benefits remains a challenge given the numerous interactions between interspecific plant-plant relationships, their environment and the agricultural practices. Soil-crop models are critical in understanding these interactions in dynamics during the whole growing season, but few models are capable of accurately simulating intercropping systems.</p> <p>In this study, we propose a set of simple and generic formalisms for simulating key interactions in intercropping systems that can be readily included into existing dynamic crop models. This requires simulating important processes such as development, light interception, plant growth, N and water balance, and yield formation in response to management practices, soil conditions, and climate. These formalisms were integrated into the STICS soil-crop model and evaluated using observed data of intercropping systems of cereal and legumes mixtures, including Faba bean-Wheat, Pea-Barley, Sunflower-Soybean, and Wheat-Pea mixtures. We demonstrate that the proposed formalisms provide a comprehensive simulation of soil-plant interactions in various types of bispecific intercrops. The model was found consistent and generic under a range of spring and winter intercrops (nRMSE = 25% for maximum leaf area index, 23% for shoot biomass at harvest, and 18% for yield).</p> <p>This is the first time a complete set of formalisms has been developed and published for simulating intercropping systems and integrated into a soil-crop model. With its emphasis on being generic, sufficiently accurate, simple, and easy to parameterize, STICS is well-suited to help researchers designing <em>in silico</em> the agroecological transition by virtually pre-screening sustainable, manageable intercrop systems adapted to local conditions.</p> <p> </p> <p> </p> <p> </p>
Fig. 18 in New generic assignment to the harvestman Metaphareus punctatus (Opiliones: Stygnidae) and observations about it reproductive behavior
Fig. 18. Geographical distribution of Eutimesius punctatus (Roewer, 1913), comb. nov. and E. albicinctus (Roewer, 1915).
Figures 1–2. Zelenka holotypes. 1 in Generic changes in the stag beetle tribe Aesalini (Coleoptera: Lucanidae: Aesalinae) with the description of two new species
Figures 1–2. Zelenka holotypes. 1) Holotype of Echinoaesalus jaechi Zelenka. a) Dorsal habitus. b) Abdomen, ventral view. c) Labels. 2) Holotype female of Echinoaesalus sabahensis Zelenka. a) Dorsal habitus. b) Abdomen, ventral view, showing complete leg-shaped sulci. c) Labels. Photos courtesy H. Schillhammer (Naturhistorisches Museum, Vienna).
Figures 8–9. Trogellus Paulsen species. 8 in Generic changes in the stag beetle tribe Aesalini (Coleoptera: Lucanidae: Aesalinae) with the description of two new species
Figures 8–9. Trogellus Paulsen species. 8) Trogellus trajectus Paulsen, new species, holotype male. a) Dorsal habitus. b) Oblique lateral habitus. c) Labels of holotype. d) Male genitalia. ventral view. 9) Trogellus maesi Paulsen, male. a) Dorsal habitus. b) Male genitalia, ventral view.
Figure 204 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 204. Gigiella platnicki sp. n., holotype male from south of Puerto Puyuguapi, Chile (AMNH): A left pedipalp, ventral view B left pedipalp, retrolateral view. Scale bar = 0.065 mm (65 µm).
Figure 97 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 97. Normplatnicka lamingtonensis (Forster) from Acheron Gap, Victoria (AMNH): A male habitus, lateral view B male cephalothorax and pedipalps, ventral view.
Figure 200 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 200. Scanning electron micrographs of female Gigiella milledgei sp. n. from Mount Sabine, Victoria (QMB S43059): A leg I tarsal organ B leg I lyriform organ C leg I metatarsal trichobothrium D leg I tibial trichobothrium E leg I claws F leg II claws G leg III claws H leg IV claws (male inset), showing elongate inferior claw on male.
Figure 99 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 99. Normplatnicka species, female cleared receptacula, dorsal view: A–B N. lamingtonensis (Forster) from Acheron Gap, Victoria (AMNH) C paratype N. chilensis sp. n. from Parque Nacional Queulat, Chile (AMNH) D paratype N. barrettae sp. n. from Walpole-Nornalup National Park, Western Australia (WAM T94473). Arrows indicate the trajectory of insemination ducts. Scale bars = 0.065 mm (65 µm).
Figure 95 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 95. Scanning electron micrographs of pedipalp of male Rayforstia vulgaris (Forster) from Lewis Pass, New Zealand (WAM T94455).
Figure 90 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 90. Rayforstia raveni sp. n. from Boondall Wetlands, Queensland. A–C holotype male (QMB S83999): A, habitus, dorsal view B cephalothorax, antero-dorsal view C pedipalps, ventral view.
Figure 89 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 89. Rayforstia lordhowensis sp. n., holotype male from Lord Howe Island, New South Wales (AMS KS88916): A left pedipalp, ventral view B left pedipalp, retrolateral view. Scale bar = 0.065 mm (65 µm).
Figure 87 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 87. Rayforstia species, female cleared receptacula, dorsal view: A–B R. vulgaris (Forster) from Lewis Pass, New Zealand (WAM T94455) C R. signata (Forster) from the Puhipuhi Valley, New Zealand (AMNH) D R. antipoda (Forster) from Lake Hawea, New Zealand (AMNH) E allotype R. lordhowensis sp. n. from Lord Howe Island, New South Wales (AMS KS76260) F R. propinqua (Forster) from Broken River, New Zealand (MCZ) G R. salmoni (Forster) from Desert Road, New Zealand (AMNH) H R. scuta (Forster) from Norsewood, New Zealand (AMNH). Arrows indicate the trajectory of insemination ducts. Scale bar = 0.065 mm (65 µm).
Figure 86 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 86. New Zealand Rayforstia species, eyes and external epigynes. A–D eight-eyed species of Rayforstia: A eyes of male R. signata (Forster) from the Puhipuhi Valley (AMNH) B ventral abdomen of female R. signata from the Puhipuhi Valley (AMNH) C eyes of male R. antipoda (Forster) from Lake Hawea (AMNH) D ventral abdomen of female R. antipoda from Lake Hawea (AMNH). E–H six-eyed species of Rayforstia: E eyes of female R. propinqua (Forster) from Broken River (MCZ) F ventral abdomen of female R. propinqua from Broken River (MCZ) G ventral abdomen of paratype female R. salmoni (Forster) from Waiouru (AMNH) H ventral abdomen of female R. scuta (Forster) from Norsewood (MCZ).
Figure 77 in The spider family Micropholcommatidae (Arachnida: Araneae: Araneoidea): a relimitation and revision at the generic level
Figure 77. Raveniella species, male left pedipalps, retro-ventral view: A R. hickmani (Forster) from near Marysville, Victoria (WAM T94096) B paratype R. peckorum sp. n. from Modong Nature Reserve, Western Australia (WAM T94408). Scale bars = 0.065 mm (65 µm).
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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.
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DANDI Archive for NWB datasets
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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.