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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: LIVE<>: Pop Warner Football Super Bowl 2022 Live Streaming Online Free;

    Tune into FloSports to catch all the action of the championship events from Orlando. A single subscription gets you access to both FloFootball and FloCheer coverage. Here's how you can watch: WATCH FOOTBALL ONLINE HERE STREAMING: Watch Live Coverage of all FOOTBALL GAMES and CHEER & DANCE On Your TV: Now Available on Roku, Fire TV, Chromecast & Apple TV. Cast: Cast to your smart TV including Vizio, Samsung and LG TVs. On The Go: Download the FloSports app on iOS or Android. Archived Footage Video footage from the event will be archived and stored in a video library for FloFootball subscribers to watch for the duration of their subscription. Not since 2006 have the Socceroos made the knockout stage while Belgium have never played a last-16 game at the World Cup, and with a ferocious backing in Qatar they will be under pressure to grab a vital win today.dfhfg Τhe CORD-19 dataset released by the team of Semantic Scholar1 anddg Τhe curated data provided by the LitCovid hub2.gdgdgdf These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,314 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:dfhgf Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwis/zdhPaperRanking) library4.dgfdhfd The washers dataset features 70 defective parts. The gears and screws datasets feature 35 defective, 35 intact and several hundred unannotated parts. Some defects, such as notches and holes, are visible in most images (illuminations) with intensity and texture variations among them, while others, such as scratches, are only visible in a few.fghgj We split the datasets into train and test sets. The train sets contain 32 samples, and the test set 38 samples. Each sample comprises 108 images (each captured under a different illumination angle), an automatically extracted foreground segmentation mask, and a hand-labeled defect segmentation mask.fghgfj This dataset is challenging mainly because: each raw sample consists of 108 gray-scale images of resolution 512×512 and therefore takes 27MB of space; the metallic surfaces produce many specular reflections that sometimes saturate the camera sensors; the annotations are not very precise because the exact extent of defect contours is always subjective; the defects are very sparse also in the spatial dimensions: they cover only about 0.2% of the total image area in gears, 0.8% in screws, and 1.4% in washers; this creates an unbalanced dataset with a highly skewed class representation. gfhj The dataset is organized as follows: each sample resides in the Test, Train, or Unannotated directory; each sample has its own directory which contains the individual images, the foreground, and defect segmentation masks; each image is stored in 8-bit greyscale png format and has a resolution of 512 x 512 pixels; Image file names are formatted using three string fields separated with the underscore character: prefix_sampleNr_illuminationNr.png, where the prefix is e.g. washer, the sampleNr might be a three-digit number 001, and the illuminationNr is formed of 3 digits, first corresponding to the elevation index (1 - highest angle, 9 - lowest angle), and the additional two corresponding to the azimuth index (01-12). Each dataset contains light_vectors.csv, which contains the illumination angles (in lexicographic order of the illuminationNr), and light_intensities.csv that contains the numbers corresponding to the light intensity on the scale from 0 to 127. Please, be aware, that the azimuth angles were not calibrated and might be a few degrees misaligned.fdhfgj These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,314 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:sdgfdfhfggh Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwifss/PaperRanking) library4.sddfghfggd Influence_alt: Citation-based measure reflecting the total impact of an article. This is the Citation Count of each article, calculated based on the citation network between the articles contained in the BIP4COVID19 dataset.sddggf safs Popularity: Citation-based measure reflecting the current impact of an article. This is based on the AttRank5 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). AttRank alleviates this problem incorporating an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to read papers which received a lot of attention recently. This is why it is more suitable to capture the current "hype" of an article.asdfujsgdg Colour Science for Python Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. sdg It is freely available under the New BSD License terms.uiuol Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States Draft Release Notes The draft release notes of the develop branch are available at this url.uiu Sponsors We are grateful 💖 for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.uiu Features Colour features a rich dataset and collection of objects, please see the features in the documentation for more information.iu User Guid Installation Colour and its primary dependencies can be easily installed from the Python Package Index by issuing this command in a shell:oluip $ pip install --user colour-science The detailed installation procedure for the secondary dependencies is described in the Installation Guide. Colour is also available for Anaconda from Continuum Analytics via conda-forge:oiup $ conda install -c conda-forge colour-science Tutorial The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.oui How-To The Google Colab How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases. Contributing If you would like to contribute to Colour, please refer to the following Contributing guide.oi Colour by Colour Developers Copyright 2013 Colour Developers – colour-developers@colour-science.org This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause https://github.com/colour-science/colourolip sf Popularity alternative: An alternative citation-based measure reflecting the current impact of an article (this was the basic popularity measured provided by BIP4COVID19 until version 26). This is based on the RAM6 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). RAM alleviates this problem using an approach known as "time-awareness". This is why it is more suitable to capture the current "hype" of an article. This measure was calculated using the PaperRanking (https://github.com/diwis/PaperRanking) library4.sfbsdf Social Media Attention: The number of tweets related to this article. Relevant data were collected from the COVID-19-TweetIDs dataset. In this version, tweets between 23/6/22-29/6/22 have been considered from the previous dataset.ftgujyol We provide five CSV files, all containing the same information, however each having its entries ordered by a different impact measure. All CSV files are tab separated and have the same columns (PubMed_id, PdfMC_id, DOI, influence_score, popularity_alt_score, popularity score, influence_alt score, tweets count).yjytik Rich offline experience, periodic background sync, push notification functionality, network requests control, improved performance via requests caching are only a few of the functionalities provided by the Service Worker (SW ) API. This new technology, supported by all major browsers, can significantly improve users’ experience by providing the publisher with the technical foundations that would normally require a native application. Albeit the capabilities of this new technique and its important role in the ecosystem of Progressive Web Apps (PWAs), it is still unclear what is their actual purpose on the web, and how publishers leverage the provided functionality in their web applications. In this study, we shed light in the real world deployment of SWs, by conducting the first large scale analysis of the prevalence of SWs in the wild.huiuop We see that SWs are becoming more and more popular, with the adoption increased by 26% only within the last 5 months. Surprisingly, besides their fruitful capabilities, we see that SWs are being mostly used for In-Page Push Advertising, in 65.08% of the SWs that connect with 3rd parties. We highlight that this is a relatively new way for advertisers to bypass ad-blockers and render ads on the user’s displays natively.iku

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  • Authors: Richer-De-Forges, Anne C; Arrouays, Dominique, D.; Lehmann, Sébastien;

    Année de la première version : 2015

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  • Authors: Eric Quinton; Alexandre Maindron; Christine Plumejeaud; Hector Lynier;

    Gestion des collections d'échantillon - management of samples collections

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: WATCH: XFC 62 Live Streaming Online Free;

    XFC 62 The very best athletes in Mixed Martial Arts! It's time to showcase the power, tenaciousness and skill of these athletes in the cage! Doors open - 6pm First fight - 7pm. WATCH LIVE STREAMS HERE Recent studies show a correlation between the content of vitamin D3 in the human body and the severity of COVID19. Part of the world’s population is deficient in vitamin D3. The solution to this problem is possible by the development and inclusion of foodstuffs fortified with vitamin D in diets. The aim of this study was to develop a D3 -fortified sour cream dessert using an emulsion system as a vitamin D delivery system. Commercially available raw materials: vitamin D3 powder, sodium carboxymethylcellulose, skimmed milk powder, and sunflower oil were used to create a vitamin D-fortified emulsion.yuiysdg The latter is used in the technology of sour cream dessert production. The emulsion microstructure and stability were investigated using rheology and dynamic light scattering methods. The content of vitamin D3 was determined by coulometric titration and spectroscopy. Experimentally determined data on the viscosity of emulsions indicate the pseudoplastic behavior of the f low. The use of a structural approach (Casson model) made it possible to determine the emulsion viscosity parameters, which can be used as a quantitative criterion for emulsion stability.ujtyk This conclusion was confirmed by microstructural data on distribution size of droplets volume of emulsion. Amount of vitamin D in the emulsion and dessert was 1.96 ± 0.22 µg/g (97.8 % of the added amount) and 0.019±0,005 µg/g, respectively. Using the developed stable emulsion as a vitamin D delivery system, a technology for the production of a dessert based on sour cream fortified with vitamin D3 was proposed.ytujty The Worldwide Soundscapes project is a global, open inventory of spatio-temporally replicated soundscape datasets. This Zenodo entry comprises the data tables that constitute its (meta-)database, as well as their description.yuy The overview of all sampling sites can be found on the corresponding project on ecoSound-web, as well as a demonstration collection containing selected recordings. More information on the project can be found here and on ResearchGate.yuji The audio recording criteria justifying inclusion into the meta-database are: Stationary (no transects, towed sensors or microphones mounted on cars) Passive (unattended, no human disturbance by the recordist) Ambient (no spatial or temporal focus on a particular species or direction) Spatially and/or temporally replicated (multiple sites sampled at least at one common daytime or multiple days sampled at least in one common site)tyuyt The individual columns of the provided data tables are described in the following. Data tables are linked through primary keys; joining them will result in a database.ytuj datasets dataset_id: incremental integer, primary key name: name of the dataset. if it is repeated, incremental integers should be used in the "subset" column to differentiate them. subset: incremental integer that can be used to distinguish datasets with identical names collaborators: full names of people deemed responsible for the dataset, separated by commas contributors: full names of people who are not the main collaborators but who have significantly contributed to the dataset, and who could be contacted for in-depth analyses, separated by commas. date_added: when the datased was added (DD/MM/YYYY) URL_open_recordings: if recordings (even only some) from this dataset are openly available, indicate the internet link where they can be found. URL_project: internet link for further information about the corresponding project DOI_publication: DOI of corresponding publications, separated by comma core_realm_IUCN: The core realm of the dataset. Datasets may have multiple realms, but the main one should be listed. Datasets may contain sampling sites from different realms in the "sites" sheet. IUCN Global Ecosystem Typology (v2.0): https://global-ecosystems.org/ medium: the physical medium the microphone is situated in protected_area: Whether the sampling sites were situated in protected areas or not, or only some. GADM0: For datasets on land or in territorial waters, Global Administrative Database level0 https://gadm.org/ GADM1: For datasets on land or in territorial waters, Global Administrative Database level1 https://gadm.org/ GADM2: For datasets on land or in territorial waters, Global Administrative Database level2 https://gadm.org/ IHO: For marine locations, the sea area that encompassess all the sampling locations according to the International Hydrographic Organisation. Map here: https://www.arcgis.com/home/item.html?id=44e04407fbaf4d93afcb63018fbca9e2 locality: optional free text about the locality latitude_numeric_region: study region approximate centroid latitude in WGS84 decimal degrees longitude_numeric_region: study region approximate centroid longitude in WGS84 decimal degrees sites_number: number of sites sampled year_start: starting year of the sampling year_end: ending year of the sampling deployment_schedule: description of the sampling schedule, provisional temporal_recording_selection: list environmental exclusion criteria that were used to determine which recording days or times to discard high_pass_filter_Hz: frequency of the high-pass filter of the recorder, in Hz variable_sampling_frequency: Does the sampling frequency vary? If it does, write "NA" in the sampling_frequency_kHz column and indicate it in the sampling_frequency_kHz column inside the deployments sheet sampling_frequency_kHz: frequency the microphone was sampled at (sounds of half that frequency will be recorded) variable_recorder: recorder: recorder model used microphone: microphone used freshwater_recordist_position: position of the recordist relative to the microphone during sampling (only for freshwater) collaborator_comments: free-text field for comments by the collaborators validated: This cell is checked if the contents of all sheets are complete and have been found to be coherent and consistent with our requirements. validator_name: name of person doing the validation validation_comments: validators: please insert the date when someone was contacted cross-check: this cell is checked if the collaborators confirm the spatial and temporal data after checking the corresponding site maps, deployment and operation time graphs found at https://drive.google.com/drive/folders/1qfwXH_7dpFCqyls-c6b8RZ_fbcn9kXbp?usp=share_linktuy datasets-sites dataset_ID: primary key of datasets table dataset_name: lookup field site_ID: primary key of sites table site_name: lookup field sites site_ID: unique site IDs, larger than 1000 for compatibility with ecoSound-web site_name: name or code of sampling site as used in respective projects latitude_numeric: exact numeric degrees coordinates of latitude longitude_numeric: exact numeric degrees coordinates of longitude topography_m: for sites on land: elevation. For marine sites: depth (negative). in meters freshwater_depth_m realm: Ecosystem type according to IUCN GET https://global-ecosystems.org/ biome: Ecosystem type according to IUCN GET https://global-ecosystems.org/ functional_group: Ecosystem type according to IUCN GET https://global-ecosystems.org/ commentstuyt deployments dataset_ID: primary key of datasets table dataset_name: lookup field deployment: use identical subscript letters to denote rows that belong to the same deployment. For instance, you may use different operation times and schedules for different target taxa within one deployment. start_date_min: earliest date of deployment start, double-click cell to get date-picker start_date_max: latest date of deployment start, if applicable (only used when recorders were deployed over several days), double-click cell to get date-picker start_time_mixed: deployment start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording start time for continuous recording deployments. If multiple start times were used, you should mention the latest start time (corresponds to the earliest daytime from which all recorders are active). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") permanent: is the deployment permanent (in which case it would be ongoing and the end date or duration would be unknown)? variable_duration_days: is the duration of the deployment variable? in days duration_days: deployment duration per recorder (use the minimum if variable) end_date_min: earliest date of deployment end, only needed if duration is variable, double-click cell to get date-picker end_date_max: latest date of deployment end, only needed if duration is variable, double-click cell to get date-pickertuy end_time_mixed: deployment end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording end time for continuous recording deployments. recording_time: does the recording last from the deployment start time to the end time (continuous) or at scheduled daily intervals (scheduled)? Note: we consider recordings with duty cycles to be continuous. operation_start_time_mixed: scheduled recording start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") operation_duration_minutes: duration of operation in minutes, if constant operation_end_time_mixed: scheduled recording end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") duty_cycle_minutes: duty cycle of the recording (i.e. the fraction of minutes when it is recording), written as "recording(minutes)/period(minutes)". For example: "1/6" if the recorder is active for 1 minute and standing by for 5 minutes. sampling_frequency_kHz: only indicate the sampling frequency if it is variable within a particular dataset so that we need to code different frequencies for different deployments recorder subset_sites: If the deployment was not done in all the sites of the corresponding datasest, site IDs can be indicated here, separated by commas comments We investigated the influence of wormwood-wild rue mixture with high anthelmintic effect on the diuretic process in sheep and on the physical and chemical properties of the urinary excretion of the sheep fed with (6 g / kg), three and fivefold increased therapeutic dose (18 and 30 g / kg) of the mixture. No pain was observed during urination in the experimental animals. The urine of the experimental animals was clear, light yellowish in color, there was no smell. The density of urine in animals fed with the mixture at a dose of 30 g / kg was 1.029, pH was 8.48, which is the norm. Proteins, sugars, ketone bodies, bilirubin were not found in the urine of animals undergoing experiments. In the tested urine, individual blood vessels appeared, and a small amount of indican and urobilins was found. The findings show that wormwood does not have a toxic effect on the physical and chemical properties of urine in sheep.tu is an open-source package which allows to focus on a network-oriented approach to identify regulatory mechanisms linked to a disease, identify genes of interest, simulate and score the effect of a drug at transcriptional level, and perform drug repurposing with adaptive testing.tu The article informs about the ecological evaluation of soils in the Kangarli administrative Region. For the ecological evaluation of soils, physico-geographical condition of this area (relief, climate, hydrological and hydrogeological, plant and animal world, anthropogenic influence, etc.) degradation processes (salinity, erosion, waterlogging, rockiness, overgrown areas, etc) morphological, physical and chemical characteristics in the region were studied. At the same time, soils under cultivated and natural plants were assessed. The highest points received mountain chestnut (brown) (100 points), chestnut (brown) (96 points), alluvial (92 points) soils. The lowest points received sandy marshy-meadow (32 points), stony-gravelly river bed (18 points) and stony river bed (10 points) soils. Some recommendations and suggestions for the rational use of the soils for the cultural and natural plants of the Kengirlinsky administrative region were made.thtyj This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output.tyuht Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)tru

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  • Authors: Toutain, Benoit, B.; Mourouvin, Cédric; Ezzayani, Fatima; Cossou-Lacassie, Cédric; +1 Authors

    Année de la première version : 2012Documents associés disponibles : Documentation utilisateur – GuideInterface utilisateur : interface WebMode de diffusion : service en ligne

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    Authors: WATCH** Dalton Rosta Vs. Anthony Adams Live Online Free;

    The wait is over for the most anticipated fight of 2023 in the Bellator cage. In a raging battle of wild smack talk and bad blood, two of the most skilled bantamweights in the world collide as Raufeon Stots will look to defend his interim bantamweight title against #6 ranked Danny Sabatello as a part of the Bellator Bantamweight World Grand Prix semi-final. The co-main event of the evening will feature former Bellator Women’s Flyweight Champion Juliana Velasquez challenging for championship gold against Liz Carmouche in what promises to be an exciting flyweight title rematch WATCH LIVE STREAMS HERE Recent studies show a correlation between the content of vitamin D3 in the human body and the severity of COVID19. Part of the world’s population is deficient in vitamin D3. How to watch Bellator 289: Stots vs Sabatello MMA fans can watch Bellator 289: Stots vs Sabatello live stream on Showtime in the United States. The date is Friday, December 9. The start time is scheduled for 9 pm ET / 6 pm PT. Bellator 289 preliminary card begins at 5 pm ET / 2 pm PT live stream on YouTube. Fans in the countries with no local coverage can connect via VPN, such as ExpressVPN, and live stream Bellator 289: Stots vs Sabatello from practically anywhere. Bellator 289 fight card The current Bellator 289: Stots vs Sabatello fight card looks as the following: Main Card Raufeon Stots vs. Danny Sabatello – Stots’s interim Bellator bantamweight title, bantamweight Grand Prix semi-final Liz Carmouche vs. Juliana Velasquez – Carmouche’s Bellator flyweight title Patchy Mix vs. Magomed Magomedov – Bellator bantamweight Grand Prix semi-final Dalton Rosta vs. Anthony Adams Preliminary Card Denise Kielholtz vs. Ilara Joanne Cody Law vs. Cris Lencioni Kyle Crutchmer vs. Jaleel Willis Kai Kamaka vs. Kevin Boehm Mark Lemminger vs. Michael Lombardo Pat Downey vs. Christian Echols Cass Bell vs. Jared Scoggins The solution to this problem is possible by the development and inclusion of foodstuffs fortified with vitamin D in diets. The aim of this study was to develop a D3 -fortified sour cream dessert using an emulsion system as a vitamin D delivery system. Commercially available raw materials: vitamin D3 powder, sodium carboxymethylcellulose, skimmed milk powder, and sunflower oil were used to create a vitamin D-fortified emulsion.yuiysdg The latter is used in the technology of sour cream dessert production. The emulsion microstructure and stability were investigated using rheology and dynamic light scattering methods. The content of vitamin D3 was determined by coulometric titration and spectroscopy. Experimentally determined data on the viscosity of emulsions indicate the pseudoplastic behavior of the f low. The use of a structural approach (Casson model) made it possible to determine the emulsion viscosity parameters, which can be used as a quantitative criterion for emulsion stability.ujtyk This conclusion was confirmed by microstructural data on distribution size of droplets volume of emulsion. Amount of vitamin D in the emulsion and dessert was 1.96 ± 0.22 µg/g (97.8 % of the added amount) and 0.019±0,005 µg/g, respectively. Using the developed stable emulsion as a vitamin D delivery system, a technology for the production of a dessert based on sour cream fortified with vitamin D3 was proposed.ytujty The Worldwide Soundscapes project is a global, open inventory of spatio-temporally replicated soundscape datasets. This Zenodo entry comprises the data tables that constitute its (meta-)database, as well as their description.yuy The overview of all sampling sites can be found on the corresponding project on ecoSound-web, as well as a demonstration collection containing selected recordings. More information on the project can be found here and on ResearchGate.yuji The audio recording criteria justifying inclusion into the meta-database are: Stationary (no transects, towed sensors or microphones mounted on cars) Passive (unattended, no human disturbance by the recordist) Ambient (no spatial or temporal focus on a particular species or direction) Spatially and/or temporally replicated (multiple sites sampled at least at one common daytime or multiple days sampled at least in one common site)tyuyt The individual columns of the provided data tables are described in the following. Data tables are linked through primary keys; joining them will result in a database.ytuj datasets dataset_id: incremental integer, primary key name: name of the dataset. if it is repeated, incremental integers should be used in the "subset" column to differentiate them. subset: incremental integer that can be used to distinguish datasets with identical names collaborators: full names of people deemed responsible for the dataset, separated by commas contributors: full names of people who are not the main collaborators but who have significantly contributed to the dataset, and who could be contacted for in-depth analyses, separated by commas. date_added: when the datased was added (DD/MM/YYYY) URL_open_recordings: if recordings (even only some) from this dataset are openly available, indicate the internet link where they can be found. URL_project: internet link for further information about the corresponding project DOI_publication: DOI of corresponding publications, separated by comma core_realm_IUCN: The core realm of the dataset. Datasets may have multiple realms, but the main one should be listed. Datasets may contain sampling sites from different realms in the "sites" sheet. IUCN Global Ecosystem Typology (v2.0): https://global-ecosystems.org/ medium: the physical medium the microphone is situated in protected_area: Whether the sampling sites were situated in protected areas or not, or only some. GADM0: For datasets on land or in territorial waters, Global Administrative Database level0 https://gadm.org/ GADM1: For datasets on land or in territorial waters, Global Administrative Database level1 https://gadm.org/ GADM2: For datasets on land or in territorial waters, Global Administrative Database level2 https://gadm.org/ IHO: For marine locations, the sea area that encompassess all the sampling locations according to the International Hydrographic Organisation. Map here: https://www.arcgis.com/home/item.html?id=44e04407fbaf4d93afcb63018fbca9e2 locality: optional free text about the locality latitude_numeric_region: study region approximate centroid latitude in WGS84 decimal degrees longitude_numeric_region: study region approximate centroid longitude in WGS84 decimal degrees sites_number: number of sites sampled year_start: starting year of the sampling year_end: ending year of the sampling deployment_schedule: description of the sampling schedule, provisional temporal_recording_selection: list environmental exclusion criteria that were used to determine which recording days or times to discard high_pass_filter_Hz: frequency of the high-pass filter of the recorder, in Hz variable_sampling_frequency: Does the sampling frequency vary? If it does, write "NA" in the sampling_frequency_kHz column and indicate it in the sampling_frequency_kHz column inside the deployments sheet sampling_frequency_kHz: frequency the microphone was sampled at (sounds of half that frequency will be recorded) variable_recorder: recorder: recorder model used microphone: microphone used freshwater_recordist_position: position of the recordist relative to the microphone during sampling (only for freshwater) collaborator_comments: free-text field for comments by the collaborators validated: This cell is checked if the contents of all sheets are complete and have been found to be coherent and consistent with our requirements. validator_name: name of person doing the validation validation_comments: validators: please insert the date when someone was contacted cross-check: this cell is checked if the collaborators confirm the spatial and temporal data after checking the corresponding site maps, deployment and operation time graphs found at https://drive.google.com/drive/folders/1qfwXH_7dpFCqyls-c6b8RZ_fbcn9kXbp?usp=share_linktuy datasets-sites dataset_ID: primary key of datasets table dataset_name: lookup field site_ID: primary key of sites table site_name: lookup field sites site_ID: unique site IDs, larger than 1000 for compatibility with ecoSound-web site_name: name or code of sampling site as used in respective projects latitude_numeric: exact numeric degrees coordinates of latitude longitude_numeric: exact numeric degrees coordinates of longitude topography_m: for sites on land: elevation. For marine sites: depth (negative). in meters freshwater_depth_m realm: Ecosystem type according to IUCN GET https://global-ecosystems.org/ biome: Ecosystem type according to IUCN GET https://global-ecosystems.org/ functional_group: Ecosystem type according to IUCN GET https://global-ecosystems.org/ commentstuyt deployments dataset_ID: primary key of datasets table dataset_name: lookup field deployment: use identical subscript letters to denote rows that belong to the same deployment. For instance, you may use different operation times and schedules for different target taxa within one deployment. start_date_min: earliest date of deployment start, double-click cell to get date-picker start_date_max: latest date of deployment start, if applicable (only used when recorders were deployed over several days), double-click cell to get date-picker start_time_mixed: deployment start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording start time for continuous recording deployments. If multiple start times were used, you should mention the latest start time (corresponds to the earliest daytime from which all recorders are active). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") permanent: is the deployment permanent (in which case it would be ongoing and the end date or duration would be unknown)? variable_duration_days: is the duration of the deployment variable? in days duration_days: deployment duration per recorder (use the minimum if variable) end_date_min: earliest date of deployment end, only needed if duration is variable, double-click cell to get date-picker end_date_max: latest date of deployment end, only needed if duration is variable, double-click cell to get date-pickertuy end_time_mixed: deployment end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording end time for continuous recording deployments. recording_time: does the recording last from the deployment start time to the end time (continuous) or at scheduled daily intervals (scheduled)? Note: we consider recordings with duty cycles to be continuous. operation_start_time_mixed: scheduled recording start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") operation_duration_minutes: duration of operation in minutes, if constant operation_end_time_mixed: scheduled recording end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") duty_cycle_minutes: duty cycle of the recording (i.e. the fraction of minutes when it is recording), written as "recording(minutes)/period(minutes)". For example: "1/6" if the recorder is active for 1 minute and standing by for 5 minutes. sampling_frequency_kHz: only indicate the sampling frequency if it is variable within a particular dataset so that we need to code different frequencies for different deployments recorder subset_sites: If the deployment was not done in all the sites of the corresponding datasest, site IDs can be indicated here, separated by commas comments We investigated the influence of wormwood-wild rue mixture with high anthelmintic effect on the diuretic process in sheep and on the physical and chemical properties of the urinary excretion of the sheep fed with (6 g / kg), three and fivefold increased therapeutic dose (18 and 30 g / kg) of the mixture. No pain was observed during urination in the experimental animals. The urine of the experimental animals was clear, light yellowish in color, there was no smell. The density of urine in animals fed with the mixture at a dose of 30 g / kg was 1.029, pH was 8.48, which is the norm. Proteins, sugars, ketone bodies, bilirubin were not found in the urine of animals undergoing experiments. In the tested urine, individual blood vessels appeared, and a small amount of indican and urobilins was found. The findings show that wormwood does not have a toxic effect on the physical and chemical properties of urine in sheep.tu is an open-source package which allows to focus on a network-oriented approach to identify regulatory mechanisms linked to a disease, identify genes of interest, simulate and score the effect of a drug at transcriptional level, and perform drug repurposing with adaptive testing.tu The article informs about the ecological evaluation of soils in the Kangarli administrative Region. For the ecological evaluation of soils, physico-geographical condition of this area (relief, climate, hydrological and hydrogeological, plant and animal world, anthropogenic influence, etc.) degradation processes (salinity, erosion, waterlogging, rockiness, overgrown areas, etc) morphological, physical and chemical characteristics in the region were studied. At the same time, soils under cultivated and natural plants were assessed. The highest points received mountain chestnut (brown) (100 points), chestnut (brown) (96 points), alluvial (92 points) soils. The lowest points received sandy marshy-meadow (32 points), stony-gravelly river bed (18 points) and stony river bed (10 points) soils. Some recommendations and suggestions for the rational use of the soils for the cultural and natural plants of the Kengirlinsky administrative region were made.thtyj This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output.tyuht Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)tru

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    Depuis 2015, le SCD de l’Université de Guyane est engagé dans un renouvellement de sa pédagogie : des séquences de jeux sont régulièrement introduites dans ses formations à l’Information scientifique et technique (IST) afin de favoriser l’interactivité et le plaisir de l’apprentissage. Après avoir créé trois précédents jeux de plateaux sur l’Open Access en 2017, la BU présente « #Réseauxsociaux », un nouveau jeu pédagogique créé en 2018. Ce jeu a été conçu afin de permettre à des étudiants de niveau Master et Doctorat d’identifier les principaux réseaux sociaux, et d’en connaitre les principales fonctionnalités rangées par types. Tous les fichiers de ce jeu sont librement disponibles et téléchargeables sous licence Creative Commons BY NC SA sur le site d’archivage pérenne en trois formats : JPEG, PDF et InDesign. Ils sont modifiables et diffusables, mais il est demandé de ne pas en faire d’exploitation commerciale. L’Université de Guyane devra être citée comme créatrice des contenus originaux. La possibilité est offerte aux établissements intéressés d’acheter un exemplaire du jeu : en plus du prix de celui-ci, qui sera réalisé par notre prestataire graphique guyanais Signarama, un forfait de 30 € par jeu est demandé à destination de l’Université de Guyane. Ce montant sera réinvesti dans la création de nouveaux produits pédagogiques et ludiques, qui seront à leur tour partagés à la communauté ! Pour toute information complémentaire ou achat d’un exemplaire, merci de contacter Marie Latour, directrice adjointe du SCD de l’Université de Guyane et créatrice de ces jeux à l’adresse suivante : marie.latour@univ-guyane.fr

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  • Heimdall est un outil permettant de convertir facilement une ou plusieurs bases de données d'un format à un autre.Il rend plus facile la migration et l'interopérabilité entre les bases de données SQL (MariaDB, MySQL), celles disposant d'une API REST, ou les systèmes de gestion de bases de données relationnelles permettant l'import/export de fichiers au format CSV (tels que les tableurs ou Omeka) ou XML (tels qu'Heurist). Heimdall is a tool for converting more easily one or more databases from one format to another.It makes a technical no-brainer migration and interoperability between SQL databases (MariaDB, MySQL), REST APIs, and general-purpose exchange formats such as CSV (used by spreadsheets or Omeka) or XML (used by Heurist). HEIMDALL: High-End Interoperability Module when Data is ALL over the place

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  • Authors: Pichot, Christian;

    En région méditerranéenne, le pollen des Cupressacées (Cyprès, Genévriers, Thuyas…) représente le tiers de tous les pollens. En fin d’hiver, il provoque des allergies allant du simple désagrément aux rhinites et conjonctivites. Ces allergies causent un véritable problème de santé publique. La période de pollinisation s’étend sur plusieurs mois en raison du nombre important d’espèces à l’origine du pollen. Le cyprès vert (Cupressus sempervirens) et le cyprès bleu (Cupressus arizonica) sont les premiers contributeurs. Ils pollinisent en début d'année, de janvier à avril. Des recherches intégrées pour la prévention de l’allergie au pollen de cyprès sont développées dans le cadre d'une collaboration entre généticien-botanistes (INRA-PACA), palynologues (Montpellier SupAgro) et allergologues (Hôpital Nord de Marseille - Université de la Méditerranée). CartoPollen, un outil de prévision spatio-temporelle des émissions de pollen permet d’informer les personnes sensibles et les professionnels de santé sur l’exposition potentielle. Initialement mis en oeuvre sur la région Languedoc-Roussillon grâce à l'appui du Groupement Régional de Santé Publique (GRSP), Cartopollen a été étendu en 2012 à la région PACA avec le soutien des Agences Régionales de Santé (ARS ).

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    Authors: LIVE<>: Pop Warner Football Super Bowl 2022 Live Streaming Online Free;

    Tune into FloSports to catch all the action of the championship events from Orlando. A single subscription gets you access to both FloFootball and FloCheer coverage. Here's how you can watch: WATCH FOOTBALL ONLINE HERE STREAMING: Watch Live Coverage of all FOOTBALL GAMES and CHEER & DANCE On Your TV: Now Available on Roku, Fire TV, Chromecast & Apple TV. Cast: Cast to your smart TV including Vizio, Samsung and LG TVs. On The Go: Download the FloSports app on iOS or Android. Archived Footage Video footage from the event will be archived and stored in a video library for FloFootball subscribers to watch for the duration of their subscription. Not since 2006 have the Socceroos made the knockout stage while Belgium have never played a last-16 game at the World Cup, and with a ferocious backing in Qatar they will be under pressure to grab a vital win today.dfhfg Τhe CORD-19 dataset released by the team of Semantic Scholar1 anddg Τhe curated data provided by the LitCovid hub2.gdgdgdf These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,314 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:dfhgf Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwis/zdhPaperRanking) library4.dgfdhfd The washers dataset features 70 defective parts. The gears and screws datasets feature 35 defective, 35 intact and several hundred unannotated parts. Some defects, such as notches and holes, are visible in most images (illuminations) with intensity and texture variations among them, while others, such as scratches, are only visible in a few.fghgj We split the datasets into train and test sets. The train sets contain 32 samples, and the test set 38 samples. Each sample comprises 108 images (each captured under a different illumination angle), an automatically extracted foreground segmentation mask, and a hand-labeled defect segmentation mask.fghgfj This dataset is challenging mainly because: each raw sample consists of 108 gray-scale images of resolution 512×512 and therefore takes 27MB of space; the metallic surfaces produce many specular reflections that sometimes saturate the camera sensors; the annotations are not very precise because the exact extent of defect contours is always subjective; the defects are very sparse also in the spatial dimensions: they cover only about 0.2% of the total image area in gears, 0.8% in screws, and 1.4% in washers; this creates an unbalanced dataset with a highly skewed class representation. gfhj The dataset is organized as follows: each sample resides in the Test, Train, or Unannotated directory; each sample has its own directory which contains the individual images, the foreground, and defect segmentation masks; each image is stored in 8-bit greyscale png format and has a resolution of 512 x 512 pixels; Image file names are formatted using three string fields separated with the underscore character: prefix_sampleNr_illuminationNr.png, where the prefix is e.g. washer, the sampleNr might be a three-digit number 001, and the illuminationNr is formed of 3 digits, first corresponding to the elevation index (1 - highest angle, 9 - lowest angle), and the additional two corresponding to the azimuth index (01-12). Each dataset contains light_vectors.csv, which contains the illumination angles (in lexicographic order of the illuminationNr), and light_intensities.csv that contains the numbers corresponding to the light intensity on the scale from 0 to 127. Please, be aware, that the azimuth angles were not calibrated and might be a few degrees misaligned.fdhfgj These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 500,314 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:sdgfdfhfggh Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwifss/PaperRanking) library4.sddfghfggd Influence_alt: Citation-based measure reflecting the total impact of an article. This is the Citation Count of each article, calculated based on the citation network between the articles contained in the BIP4COVID19 dataset.sddggf safs Popularity: Citation-based measure reflecting the current impact of an article. This is based on the AttRank5 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). AttRank alleviates this problem incorporating an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to read papers which received a lot of attention recently. This is why it is more suitable to capture the current "hype" of an article.asdfujsgdg Colour Science for Python Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. sdg It is freely available under the New BSD License terms.uiuol Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States Draft Release Notes The draft release notes of the develop branch are available at this url.uiu Sponsors We are grateful 💖 for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.uiu Features Colour features a rich dataset and collection of objects, please see the features in the documentation for more information.iu User Guid Installation Colour and its primary dependencies can be easily installed from the Python Package Index by issuing this command in a shell:oluip $ pip install --user colour-science The detailed installation procedure for the secondary dependencies is described in the Installation Guide. Colour is also available for Anaconda from Continuum Analytics via conda-forge:oiup $ conda install -c conda-forge colour-science Tutorial The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.oui How-To The Google Colab How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases. Contributing If you would like to contribute to Colour, please refer to the following Contributing guide.oi Colour by Colour Developers Copyright 2013 Colour Developers – colour-developers@colour-science.org This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause https://github.com/colour-science/colourolip sf Popularity alternative: An alternative citation-based measure reflecting the current impact of an article (this was the basic popularity measured provided by BIP4COVID19 until version 26). This is based on the RAM6 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). RAM alleviates this problem using an approach known as "time-awareness". This is why it is more suitable to capture the current "hype" of an article. This measure was calculated using the PaperRanking (https://github.com/diwis/PaperRanking) library4.sfbsdf Social Media Attention: The number of tweets related to this article. Relevant data were collected from the COVID-19-TweetIDs dataset. In this version, tweets between 23/6/22-29/6/22 have been considered from the previous dataset.ftgujyol We provide five CSV files, all containing the same information, however each having its entries ordered by a different impact measure. All CSV files are tab separated and have the same columns (PubMed_id, PdfMC_id, DOI, influence_score, popularity_alt_score, popularity score, influence_alt score, tweets count).yjytik Rich offline experience, periodic background sync, push notification functionality, network requests control, improved performance via requests caching are only a few of the functionalities provided by the Service Worker (SW ) API. This new technology, supported by all major browsers, can significantly improve users’ experience by providing the publisher with the technical foundations that would normally require a native application. Albeit the capabilities of this new technique and its important role in the ecosystem of Progressive Web Apps (PWAs), it is still unclear what is their actual purpose on the web, and how publishers leverage the provided functionality in their web applications. In this study, we shed light in the real world deployment of SWs, by conducting the first large scale analysis of the prevalence of SWs in the wild.huiuop We see that SWs are becoming more and more popular, with the adoption increased by 26% only within the last 5 months. Surprisingly, besides their fruitful capabilities, we see that SWs are being mostly used for In-Page Push Advertising, in 65.08% of the SWs that connect with 3rd parties. We highlight that this is a relatively new way for advertisers to bypass ad-blockers and render ads on the user’s displays natively.iku

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  • Authors: Richer-De-Forges, Anne C; Arrouays, Dominique, D.; Lehmann, Sébastien;

    Année de la première version : 2015

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  • Authors: Eric Quinton; Alexandre Maindron; Christine Plumejeaud; Hector Lynier;

    Gestion des collections d'échantillon - management of samples collections

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    Authors: WATCH: XFC 62 Live Streaming Online Free;

    XFC 62 The very best athletes in Mixed Martial Arts! It's time to showcase the power, tenaciousness and skill of these athletes in the cage! Doors open - 6pm First fight - 7pm. WATCH LIVE STREAMS HERE Recent studies show a correlation between the content of vitamin D3 in the human body and the severity of COVID19. Part of the world’s population is deficient in vitamin D3. The solution to this problem is possible by the development and inclusion of foodstuffs fortified with vitamin D in diets. The aim of this study was to develop a D3 -fortified sour cream dessert using an emulsion system as a vitamin D delivery system. Commercially available raw materials: vitamin D3 powder, sodium carboxymethylcellulose, skimmed milk powder, and sunflower oil were used to create a vitamin D-fortified emulsion.yuiysdg The latter is used in the technology of sour cream dessert production. The emulsion microstructure and stability were investigated using rheology and dynamic light scattering methods. The content of vitamin D3 was determined by coulometric titration and spectroscopy. Experimentally determined data on the viscosity of emulsions indicate the pseudoplastic behavior of the f low. The use of a structural approach (Casson model) made it possible to determine the emulsion viscosity parameters, which can be used as a quantitative criterion for emulsion stability.ujtyk This conclusion was confirmed by microstructural data on distribution size of droplets volume of emulsion. Amount of vitamin D in the emulsion and dessert was 1.96 ± 0.22 µg/g (97.8 % of the added amount) and 0.019±0,005 µg/g, respectively. Using the developed stable emulsion as a vitamin D delivery system, a technology for the production of a dessert based on sour cream fortified with vitamin D3 was proposed.ytujty The Worldwide Soundscapes project is a global, open inventory of spatio-temporally replicated soundscape datasets. This Zenodo entry comprises the data tables that constitute its (meta-)database, as well as their description.yuy The overview of all sampling sites can be found on the corresponding project on ecoSound-web, as well as a demonstration collection containing selected recordings. More information on the project can be found here and on ResearchGate.yuji The audio recording criteria justifying inclusion into the meta-database are: Stationary (no transects, towed sensors or microphones mounted on cars) Passive (unattended, no human disturbance by the recordist) Ambient (no spatial or temporal focus on a particular species or direction) Spatially and/or temporally replicated (multiple sites sampled at least at one common daytime or multiple days sampled at least in one common site)tyuyt The individual columns of the provided data tables are described in the following. Data tables are linked through primary keys; joining them will result in a database.ytuj datasets dataset_id: incremental integer, primary key name: name of the dataset. if it is repeated, incremental integers should be used in the "subset" column to differentiate them. subset: incremental integer that can be used to distinguish datasets with identical names collaborators: full names of people deemed responsible for the dataset, separated by commas contributors: full names of people who are not the main collaborators but who have significantly contributed to the dataset, and who could be contacted for in-depth analyses, separated by commas. date_added: when the datased was added (DD/MM/YYYY) URL_open_recordings: if recordings (even only some) from this dataset are openly available, indicate the internet link where they can be found. URL_project: internet link for further information about the corresponding project DOI_publication: DOI of corresponding publications, separated by comma core_realm_IUCN: The core realm of the dataset. Datasets may have multiple realms, but the main one should be listed. Datasets may contain sampling sites from different realms in the "sites" sheet. IUCN Global Ecosystem Typology (v2.0): https://global-ecosystems.org/ medium: the physical medium the microphone is situated in protected_area: Whether the sampling sites were situated in protected areas or not, or only some. GADM0: For datasets on land or in territorial waters, Global Administrative Database level0 https://gadm.org/ GADM1: For datasets on land or in territorial waters, Global Administrative Database level1 https://gadm.org/ GADM2: For datasets on land or in territorial waters, Global Administrative Database level2 https://gadm.org/ IHO: For marine locations, the sea area that encompassess all the sampling locations according to the International Hydrographic Organisation. Map here: https://www.arcgis.com/home/item.html?id=44e04407fbaf4d93afcb63018fbca9e2 locality: optional free text about the locality latitude_numeric_region: study region approximate centroid latitude in WGS84 decimal degrees longitude_numeric_region: study region approximate centroid longitude in WGS84 decimal degrees sites_number: number of sites sampled year_start: starting year of the sampling year_end: ending year of the sampling deployment_schedule: description of the sampling schedule, provisional temporal_recording_selection: list environmental exclusion criteria that were used to determine which recording days or times to discard high_pass_filter_Hz: frequency of the high-pass filter of the recorder, in Hz variable_sampling_frequency: Does the sampling frequency vary? If it does, write "NA" in the sampling_frequency_kHz column and indicate it in the sampling_frequency_kHz column inside the deployments sheet sampling_frequency_kHz: frequency the microphone was sampled at (sounds of half that frequency will be recorded) variable_recorder: recorder: recorder model used microphone: microphone used freshwater_recordist_position: position of the recordist relative to the microphone during sampling (only for freshwater) collaborator_comments: free-text field for comments by the collaborators validated: This cell is checked if the contents of all sheets are complete and have been found to be coherent and consistent with our requirements. validator_name: name of person doing the validation validation_comments: validators: please insert the date when someone was contacted cross-check: this cell is checked if the collaborators confirm the spatial and temporal data after checking the corresponding site maps, deployment and operation time graphs found at https://drive.google.com/drive/folders/1qfwXH_7dpFCqyls-c6b8RZ_fbcn9kXbp?usp=share_linktuy datasets-sites dataset_ID: primary key of datasets table dataset_name: lookup field site_ID: primary key of sites table site_name: lookup field sites site_ID: unique site IDs, larger than 1000 for compatibility with ecoSound-web site_name: name or code of sampling site as used in respective projects latitude_numeric: exact numeric degrees coordinates of latitude longitude_numeric: exact numeric degrees coordinates of longitude topography_m: for sites on land: elevation. For marine sites: depth (negative). in meters freshwater_depth_m realm: Ecosystem type according to IUCN GET https://global-ecosystems.org/ biome: Ecosystem type according to IUCN GET https://global-ecosystems.org/ functional_group: Ecosystem type according to IUCN GET https://global-ecosystems.org/ commentstuyt deployments dataset_ID: primary key of datasets table dataset_name: lookup field deployment: use identical subscript letters to denote rows that belong to the same deployment. For instance, you may use different operation times and schedules for different target taxa within one deployment. start_date_min: earliest date of deployment start, double-click cell to get date-picker start_date_max: latest date of deployment start, if applicable (only used when recorders were deployed over several days), double-click cell to get date-picker start_time_mixed: deployment start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording start time for continuous recording deployments. If multiple start times were used, you should mention the latest start time (corresponds to the earliest daytime from which all recorders are active). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") permanent: is the deployment permanent (in which case it would be ongoing and the end date or duration would be unknown)? variable_duration_days: is the duration of the deployment variable? in days duration_days: deployment duration per recorder (use the minimum if variable) end_date_min: earliest date of deployment end, only needed if duration is variable, double-click cell to get date-picker end_date_max: latest date of deployment end, only needed if duration is variable, double-click cell to get date-pickertuy end_time_mixed: deployment end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording end time for continuous recording deployments. recording_time: does the recording last from the deployment start time to the end time (continuous) or at scheduled daily intervals (scheduled)? Note: we consider recordings with duty cycles to be continuous. operation_start_time_mixed: scheduled recording start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") operation_duration_minutes: duration of operation in minutes, if constant operation_end_time_mixed: scheduled recording end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") duty_cycle_minutes: duty cycle of the recording (i.e. the fraction of minutes when it is recording), written as "recording(minutes)/period(minutes)". For example: "1/6" if the recorder is active for 1 minute and standing by for 5 minutes. sampling_frequency_kHz: only indicate the sampling frequency if it is variable within a particular dataset so that we need to code different frequencies for different deployments recorder subset_sites: If the deployment was not done in all the sites of the corresponding datasest, site IDs can be indicated here, separated by commas comments We investigated the influence of wormwood-wild rue mixture with high anthelmintic effect on the diuretic process in sheep and on the physical and chemical properties of the urinary excretion of the sheep fed with (6 g / kg), three and fivefold increased therapeutic dose (18 and 30 g / kg) of the mixture. No pain was observed during urination in the experimental animals. The urine of the experimental animals was clear, light yellowish in color, there was no smell. The density of urine in animals fed with the mixture at a dose of 30 g / kg was 1.029, pH was 8.48, which is the norm. Proteins, sugars, ketone bodies, bilirubin were not found in the urine of animals undergoing experiments. In the tested urine, individual blood vessels appeared, and a small amount of indican and urobilins was found. The findings show that wormwood does not have a toxic effect on the physical and chemical properties of urine in sheep.tu is an open-source package which allows to focus on a network-oriented approach to identify regulatory mechanisms linked to a disease, identify genes of interest, simulate and score the effect of a drug at transcriptional level, and perform drug repurposing with adaptive testing.tu The article informs about the ecological evaluation of soils in the Kangarli administrative Region. For the ecological evaluation of soils, physico-geographical condition of this area (relief, climate, hydrological and hydrogeological, plant and animal world, anthropogenic influence, etc.) degradation processes (salinity, erosion, waterlogging, rockiness, overgrown areas, etc) morphological, physical and chemical characteristics in the region were studied. At the same time, soils under cultivated and natural plants were assessed. The highest points received mountain chestnut (brown) (100 points), chestnut (brown) (96 points), alluvial (92 points) soils. The lowest points received sandy marshy-meadow (32 points), stony-gravelly river bed (18 points) and stony river bed (10 points) soils. Some recommendations and suggestions for the rational use of the soils for the cultural and natural plants of the Kengirlinsky administrative region were made.thtyj This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output.tyuht Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)tru

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  • Authors: Toutain, Benoit, B.; Mourouvin, Cédric; Ezzayani, Fatima; Cossou-Lacassie, Cédric; +1 Authors

    Année de la première version : 2012Documents associés disponibles : Documentation utilisateur – GuideInterface utilisateur : interface WebMode de diffusion : service en ligne

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    Authors: WATCH** Dalton Rosta Vs. Anthony Adams Live Online Free;

    The wait is over for the most anticipated fight of 2023 in the Bellator cage. In a raging battle of wild smack talk and bad blood, two of the most skilled bantamweights in the world collide as Raufeon Stots will look to defend his interim bantamweight title against #6 ranked Danny Sabatello as a part of the Bellator Bantamweight World Grand Prix semi-final. The co-main event of the evening will feature former Bellator Women’s Flyweight Champion Juliana Velasquez challenging for championship gold against Liz Carmouche in what promises to be an exciting flyweight title rematch WATCH LIVE STREAMS HERE Recent studies show a correlation between the content of vitamin D3 in the human body and the severity of COVID19. Part of the world’s population is deficient in vitamin D3. How to watch Bellator 289: Stots vs Sabatello MMA fans can watch Bellator 289: Stots vs Sabatello live stream on Showtime in the United States. The date is Friday, December 9. The start time is scheduled for 9 pm ET / 6 pm PT. Bellator 289 preliminary card begins at 5 pm ET / 2 pm PT live stream on YouTube. Fans in the countries with no local coverage can connect via VPN, such as ExpressVPN, and live stream Bellator 289: Stots vs Sabatello from practically anywhere. Bellator 289 fight card The current Bellator 289: Stots vs Sabatello fight card looks as the following: Main Card Raufeon Stots vs. Danny Sabatello – Stots’s interim Bellator bantamweight title, bantamweight Grand Prix semi-final Liz Carmouche vs. Juliana Velasquez – Carmouche’s Bellator flyweight title Patchy Mix vs. Magomed Magomedov – Bellator bantamweight Grand Prix semi-final Dalton Rosta vs. Anthony Adams Preliminary Card Denise Kielholtz vs. Ilara Joanne Cody Law vs. Cris Lencioni Kyle Crutchmer vs. Jaleel Willis Kai Kamaka vs. Kevin Boehm Mark Lemminger vs. Michael Lombardo Pat Downey vs. Christian Echols Cass Bell vs. Jared Scoggins The solution to this problem is possible by the development and inclusion of foodstuffs fortified with vitamin D in diets. The aim of this study was to develop a D3 -fortified sour cream dessert using an emulsion system as a vitamin D delivery system. Commercially available raw materials: vitamin D3 powder, sodium carboxymethylcellulose, skimmed milk powder, and sunflower oil were used to create a vitamin D-fortified emulsion.yuiysdg The latter is used in the technology of sour cream dessert production. The emulsion microstructure and stability were investigated using rheology and dynamic light scattering methods. The content of vitamin D3 was determined by coulometric titration and spectroscopy. Experimentally determined data on the viscosity of emulsions indicate the pseudoplastic behavior of the f low. The use of a structural approach (Casson model) made it possible to determine the emulsion viscosity parameters, which can be used as a quantitative criterion for emulsion stability.ujtyk This conclusion was confirmed by microstructural data on distribution size of droplets volume of emulsion. Amount of vitamin D in the emulsion and dessert was 1.96 ± 0.22 µg/g (97.8 % of the added amount) and 0.019±0,005 µg/g, respectively. Using the developed stable emulsion as a vitamin D delivery system, a technology for the production of a dessert based on sour cream fortified with vitamin D3 was proposed.ytujty The Worldwide Soundscapes project is a global, open inventory of spatio-temporally replicated soundscape datasets. This Zenodo entry comprises the data tables that constitute its (meta-)database, as well as their description.yuy The overview of all sampling sites can be found on the corresponding project on ecoSound-web, as well as a demonstration collection containing selected recordings. More information on the project can be found here and on ResearchGate.yuji The audio recording criteria justifying inclusion into the meta-database are: Stationary (no transects, towed sensors or microphones mounted on cars) Passive (unattended, no human disturbance by the recordist) Ambient (no spatial or temporal focus on a particular species or direction) Spatially and/or temporally replicated (multiple sites sampled at least at one common daytime or multiple days sampled at least in one common site)tyuyt The individual columns of the provided data tables are described in the following. Data tables are linked through primary keys; joining them will result in a database.ytuj datasets dataset_id: incremental integer, primary key name: name of the dataset. if it is repeated, incremental integers should be used in the "subset" column to differentiate them. subset: incremental integer that can be used to distinguish datasets with identical names collaborators: full names of people deemed responsible for the dataset, separated by commas contributors: full names of people who are not the main collaborators but who have significantly contributed to the dataset, and who could be contacted for in-depth analyses, separated by commas. date_added: when the datased was added (DD/MM/YYYY) URL_open_recordings: if recordings (even only some) from this dataset are openly available, indicate the internet link where they can be found. URL_project: internet link for further information about the corresponding project DOI_publication: DOI of corresponding publications, separated by comma core_realm_IUCN: The core realm of the dataset. Datasets may have multiple realms, but the main one should be listed. Datasets may contain sampling sites from different realms in the "sites" sheet. IUCN Global Ecosystem Typology (v2.0): https://global-ecosystems.org/ medium: the physical medium the microphone is situated in protected_area: Whether the sampling sites were situated in protected areas or not, or only some. GADM0: For datasets on land or in territorial waters, Global Administrative Database level0 https://gadm.org/ GADM1: For datasets on land or in territorial waters, Global Administrative Database level1 https://gadm.org/ GADM2: For datasets on land or in territorial waters, Global Administrative Database level2 https://gadm.org/ IHO: For marine locations, the sea area that encompassess all the sampling locations according to the International Hydrographic Organisation. Map here: https://www.arcgis.com/home/item.html?id=44e04407fbaf4d93afcb63018fbca9e2 locality: optional free text about the locality latitude_numeric_region: study region approximate centroid latitude in WGS84 decimal degrees longitude_numeric_region: study region approximate centroid longitude in WGS84 decimal degrees sites_number: number of sites sampled year_start: starting year of the sampling year_end: ending year of the sampling deployment_schedule: description of the sampling schedule, provisional temporal_recording_selection: list environmental exclusion criteria that were used to determine which recording days or times to discard high_pass_filter_Hz: frequency of the high-pass filter of the recorder, in Hz variable_sampling_frequency: Does the sampling frequency vary? If it does, write "NA" in the sampling_frequency_kHz column and indicate it in the sampling_frequency_kHz column inside the deployments sheet sampling_frequency_kHz: frequency the microphone was sampled at (sounds of half that frequency will be recorded) variable_recorder: recorder: recorder model used microphone: microphone used freshwater_recordist_position: position of the recordist relative to the microphone during sampling (only for freshwater) collaborator_comments: free-text field for comments by the collaborators validated: This cell is checked if the contents of all sheets are complete and have been found to be coherent and consistent with our requirements. validator_name: name of person doing the validation validation_comments: validators: please insert the date when someone was contacted cross-check: this cell is checked if the collaborators confirm the spatial and temporal data after checking the corresponding site maps, deployment and operation time graphs found at https://drive.google.com/drive/folders/1qfwXH_7dpFCqyls-c6b8RZ_fbcn9kXbp?usp=share_linktuy datasets-sites dataset_ID: primary key of datasets table dataset_name: lookup field site_ID: primary key of sites table site_name: lookup field sites site_ID: unique site IDs, larger than 1000 for compatibility with ecoSound-web site_name: name or code of sampling site as used in respective projects latitude_numeric: exact numeric degrees coordinates of latitude longitude_numeric: exact numeric degrees coordinates of longitude topography_m: for sites on land: elevation. For marine sites: depth (negative). in meters freshwater_depth_m realm: Ecosystem type according to IUCN GET https://global-ecosystems.org/ biome: Ecosystem type according to IUCN GET https://global-ecosystems.org/ functional_group: Ecosystem type according to IUCN GET https://global-ecosystems.org/ commentstuyt deployments dataset_ID: primary key of datasets table dataset_name: lookup field deployment: use identical subscript letters to denote rows that belong to the same deployment. For instance, you may use different operation times and schedules for different target taxa within one deployment. start_date_min: earliest date of deployment start, double-click cell to get date-picker start_date_max: latest date of deployment start, if applicable (only used when recorders were deployed over several days), double-click cell to get date-picker start_time_mixed: deployment start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording start time for continuous recording deployments. If multiple start times were used, you should mention the latest start time (corresponds to the earliest daytime from which all recorders are active). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") permanent: is the deployment permanent (in which case it would be ongoing and the end date or duration would be unknown)? variable_duration_days: is the duration of the deployment variable? in days duration_days: deployment duration per recorder (use the minimum if variable) end_date_min: earliest date of deployment end, only needed if duration is variable, double-click cell to get date-picker end_date_max: latest date of deployment end, only needed if duration is variable, double-click cell to get date-pickertuy end_time_mixed: deployment end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). Corresponds to the recording end time for continuous recording deployments. recording_time: does the recording last from the deployment start time to the end time (continuous) or at scheduled daily intervals (scheduled)? Note: we consider recordings with duty cycles to be continuous. operation_start_time_mixed: scheduled recording start local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") operation_duration_minutes: duration of operation in minutes, if constant operation_end_time_mixed: scheduled recording end local time, either in HH:MM format or a choice of solar daytimes (sunrise, sunset, noon, midnight). If applicable, positive or negative offsets from solar times can be mentioned (For example: if data are collected one hour before sunrise, this will be "sunrise-60") duty_cycle_minutes: duty cycle of the recording (i.e. the fraction of minutes when it is recording), written as "recording(minutes)/period(minutes)". For example: "1/6" if the recorder is active for 1 minute and standing by for 5 minutes. sampling_frequency_kHz: only indicate the sampling frequency if it is variable within a particular dataset so that we need to code different frequencies for different deployments recorder subset_sites: If the deployment was not done in all the sites of the corresponding datasest, site IDs can be indicated here, separated by commas comments We investigated the influence of wormwood-wild rue mixture with high anthelmintic effect on the diuretic process in sheep and on the physical and chemical properties of the urinary excretion of the sheep fed with (6 g / kg), three and fivefold increased therapeutic dose (18 and 30 g / kg) of the mixture. No pain was observed during urination in the experimental animals. The urine of the experimental animals was clear, light yellowish in color, there was no smell. The density of urine in animals fed with the mixture at a dose of 30 g / kg was 1.029, pH was 8.48, which is the norm. Proteins, sugars, ketone bodies, bilirubin were not found in the urine of animals undergoing experiments. In the tested urine, individual blood vessels appeared, and a small amount of indican and urobilins was found. The findings show that wormwood does not have a toxic effect on the physical and chemical properties of urine in sheep.tu is an open-source package which allows to focus on a network-oriented approach to identify regulatory mechanisms linked to a disease, identify genes of interest, simulate and score the effect of a drug at transcriptional level, and perform drug repurposing with adaptive testing.tu The article informs about the ecological evaluation of soils in the Kangarli administrative Region. For the ecological evaluation of soils, physico-geographical condition of this area (relief, climate, hydrological and hydrogeological, plant and animal world, anthropogenic influence, etc.) degradation processes (salinity, erosion, waterlogging, rockiness, overgrown areas, etc) morphological, physical and chemical characteristics in the region were studied. At the same time, soils under cultivated and natural plants were assessed. The highest points received mountain chestnut (brown) (100 points), chestnut (brown) (96 points), alluvial (92 points) soils. The lowest points received sandy marshy-meadow (32 points), stony-gravelly river bed (18 points) and stony river bed (10 points) soils. Some recommendations and suggestions for the rational use of the soils for the cultural and natural plants of the Kengirlinsky administrative region were made.thtyj This dataset contains a selection of bias-corrected data from the preoperational MiKlip system for decadal climate predictions (Mueller et al., 2018) used within the Italian research project PNRA18_00199-IPSODES. The adopted method for bias correction is described in the file bias_correction.pdf. Also data from the assimilation run are provided. Nomenclature of variables follows that of the original MiKlip output.tyuht Mueller, W., et al. A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR). J. Adv. Model. Earth Syst. 10, 1383-1413 (2018)tru

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