FIS Cross Country World Cup Beitostolen 2022-2023 Live Streaming Online Free
Bibliographic record
Abstract
The FIS Cross Country Skiing World Cup 2022-2023 starts again in Ruka, Finland in the ... 9.12.2022 - 11.12.2022, World Cup Beitostølen, Beitostølen, Norway\n\n\n\t\n\t\n\tWATCH LIVE STREAMS HERE\n\t\n\t\n\n\nRecent 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.\n\nReclaiming a world record for Canada is the next carrot the trio will chase.\n\n"We always have our eyes set on the world record," Weidemann told The Canadian Press. "We want to put our names in that record book. If that isn't in the cards for us, at least we're going to finish this team pursuit, this legacy, just trying to do that."\n\nThey'll compete in team pursuit Saturday in Calgary in the first of back-to-back World Cups at the Olympic Oval.\n\nRacing starts Friday and concludes Sunday followed Dec. 16-18 by another three-day World Cup at the oval.\n\n"The only thing that we haven't accomplished as a team is that world record," Blondin said. "That's definitely a goal of ours. It would be cool for sure to do it on home ice."\n\nThe 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\n\nThe 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\n\nThis 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\n\nThe 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\n\nThe 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\n\nThe audio recording criteria justifying inclusion into the meta-database are:\n\n\n\tStationary (no transects, towed sensors or microphones mounted on cars)\n\tPassive (unattended, no human disturbance by the recordist)\n\tAmbient (no spatial or temporal focus on a particular species or direction)\n\tSpatially and/or temporally replicated (multiple sites sampled at least at one common daytime or multiple days sampled at least in one common site)tyuyt\n\n\nThe 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\n\ndatasets\n\n\n\tdataset_id: incremental integer, primary key\n\tname: name of the dataset. if it is repeated, incremental integers should be used in the "subset" column to differentiate them.\n\tsubset: incremental integer that can be used to distinguish datasets with identical names\n\tcollaborators: full names of people deemed responsible for the dataset, separated by commas\n\tcontributors: 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.\n\tdate_added: when the datased was added (DD/MM/YYYY)\n\tURL_open_recordings: if recordings (even only some) from this dataset are openly available, indicate the internet link where they can be found.\n\tURL_project: internet link for further information about the corresponding project\n\tDOI_publication: DOI of corresponding publications, separated by comma\n\tcore_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/\n\tmedium: the physical medium the microphone is situated in\n\tprotected_area: Whether the sampling sites were situated in protected areas or not, or only some.\n\tGADM0: For datasets on land or in territorial waters, Global Administrative Database level0\n\thttps://gadm.org/\n\tGADM1: For datasets on land or in territorial waters, Global Administrative Database level1\n\thttps://gadm.org/\n\tGADM2: For datasets on land or in territorial waters, Global Administrative Database level2\n\thttps://gadm.org/\n\tIHO: 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\n\tlocality: optional free text about the locality\n\tlatitude_numeric_region: study region approximate centroid latitude in WGS84 decimal degrees\n\tlongitude_numeric_region: study region approximate centroid longitude in WGS84 decimal degrees\n\tsites_number: number of sites sampled\n\tyear_start: starting year of the sampling\n\tyear_end: ending year of the sampling\n\tdeployment_schedule: description of the sampling schedule, provisional\n\ttemporal_recording_selection: list environmental exclusion criteria that were used to determine which recording days or times to discard\n\thigh_pass_filter_Hz: frequency of the high-pass filter of the recorder, in Hz\n\tvariable_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\n\tsampling_frequency_kHz: frequency the microphone was sampled at (sounds of half that frequency will be recorded)\n\tvariable_recorder:\n\trecorder: recorder model used\n\tmicrophone: microphone used\n\tfreshwater_recordist_position: position of the recordist relative to the microphone during sampling (only for freshwater)\n\tcollaborator_comments: free-text field for comments by the collaborators\n\tvalidated: This cell is checked if the contents of all sheets are complete and have been found to be coherent and consistent with our requirements.\n\tvalidator_name: name of person doing the validation\n\tvalidation_comments: validators: please insert the date when someone was contacted\n\tcross-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\n\n\ndatasets-sites\n\n\n\tdataset_ID: primary key of datasets table\n\tdataset_name: lookup field\n\tsite_ID: primary key of sites table\n\tsite_name: lookup field\n\n\nsites\n\n\n\tsite_ID: unique site IDs, larger than 1000 for compatibility with ecoSound-web\n\tsite_name: name or code of sampling site as used in respective projects\n\tlatitude_numeric: exact numeric degrees coordinates of latitude\n\tlongitude_numeric: exact numeric degrees coordinates of longitude\n\ttopography_m: for sites on land: elevation. For marine sites: depth (negative). in meters\n\tfreshwater_depth_m\n\trealm: Ecosystem type according to IUCN GET https://global-ecosystems.org/\n\tbiome: Ecosystem type according to IUCN GET https://global-ecosystems.org/\n\tfunctional_group: Ecosystem type according to IUCN GET https://global-ecosystems.org/\n\tcommentstuyt\n\n\ndeployments\n\n\n\tdataset_ID: primary key of datasets table\n\tdataset_name: lookup field\n\tdeployment: 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.\n\tstart_date_min: earliest date of deployment start, double-click cell to get date-picker\n\tstart_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\n\tstart_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")\n\tpermanent: is the deployment permanent (in which case it would be ongoing and the end date or duration would be unknown)?\n\tvariable_duration_days: is the duration of the deployment variable? in days\n\tduration_days: deployment duration per recorder (use the minimum if variable)\n\tend_date_min: earliest date of deployment end, only needed if duration is variable, double-click cell to get date-picker\n\tend_date_max: latest date of deployment end, only needed if duration is variable, double-click cell to get date-pickertuy\n\tend_time_mixed: deployment end local time,
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".