Search results for "forecast"

showing 10 items of 417 documents

Semen characteristics and their ability to predict sperm cryopreservation potential of Atlantic cod, Gadus morhua L.

2010

There is a lack of biomarkers or indices that can be used to predict the quality of fish semen samples following the freezing and thawing cycle. In the present study, a series of semen indices were tested to assess if they could accurately forecast the cryopreservation potential of Atlantic cod (Gadus morhua) semen. Fresh and frozen-thawed sperm activity variables were compared, and relationships between frozen-thawed sperm activity and fertilization success were examined. In comparison with fresh sperm, activity variables of frozen-thawed spermatozoa were reduced. Of the 18 males examined, mean (± SEM) spermatocrit of fresh sperm was 40.72 ± 4.23%, osmolality of the seminal plasma 366.32 ±…

0106 biological sciencesMaleCryobiologySemenSemen analysis01 natural sciencesCryopreservationAndrologyHuman fertilizationFood AnimalsSemenmedicineGadusAnimals14. Life underwaterSmall AnimalsCryopreservationbiologymedicine.diagnostic_testurogenital systemEquine010604 marine biology & hydrobiology04 agricultural and veterinary sciencesbiology.organism_classificationSpermSpermatozoaSemen AnalysisGadus morhuaFertilization040102 fisheries0401 agriculture forestry and fisheriesAnimal Science and ZoologyFemaleAtlantic codBiomarkersForecastingSemen PreservationTheriogenology
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Forecasting the volatility of biofuel feedstock prices: the US evidence

2019

Given that, nowadays, 40% of the US corn crop is used for biofuel production, there is a growing concern that the rise in biofuel production might lead to an increase in food prices. However, it is also obvious that significant growth in biofuel use has minimized the demand for fossil fuel and has hence reduced the volume of carbon emissions. It is therefore crucial to model corn market volatility precisely because such an estimate could play a vital role in stabilizing food and biofuel market prices. For this purpose, we consider using the information content of the corn implied volatility (CIV) index to predict the corn futures market return volatility. Using symmetric and asymmetric GARC…

0106 biological sciencesNatural resource economics020209 energyAutoregressive conditional heteroskedasticityFood pricesBioengineering02 engineering and technology01 natural scienceshintakehitysenergiamarkkinatraaka-aineetvolatiliteetti010608 biotechnologyGARCH-mallit0202 electrical engineering electronic engineering information engineeringEconomicsbiopolttoaineetta511Renewable Energy Sustainability and the Environmentcorn VIXennusteetBiofuel feedstockbioenergy cropBiofuelbiofuelCIV indexvolatility forecastVolatility (finance)Biofuels, Bioproducts and Biorefining
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Predicting olive flowering phenology with phenoclimatic models

2018

In plants, day length and temperature are the major climatic factors that affect the transition from a phenological phase to the next one. Non-linear models, such as growing degree hours (GDH), have been successfully used to calculate thermal time required for spring bud burst in deciduous fruit trees. In this experiment, temperature records and blooming dates of olive trees in different years and for 10 different sites in the Italian territory were recorded. Olive booming time was correlated to the amount of (GDH) accumulated from the date of bud rest onset, calculated as the day when the maximum negative chilling units accumulation was reached (UTAH Model), to full bloom. The GDH model wa…

0106 biological sciencesPhenologyThermal time04 agricultural and veterinary sciencesHorticulture01 natural sciencesPhenologycal modelDegree (temperature)Olive treesSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeHorticultureDeciduousOlive blooming forecasting040103 agronomy & agriculture0401 agriculture forestry and fisheriesDay lengthCardinal temperatureBloom010606 plant biology & botanyMathematicsActa Horticulturae
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Erosion of Lizard Diversity by Climate Change and Altered Thermal Niches

2010

It is predicted that climate change will cause species extinctions and distributional shifts in coming decades, but data to validate these predictions are relatively scarce. Here, we compare recent and historical surveys for 48 Mexican lizard species at 200 sites. Since 1975, 12% of local populations have gone extinct. We verified physiological models of extinction risk with observed local extinctions and extended projections worldwide. Since 1975, we estimate that 4% of local populations have gone extinct worldwide, but by 2080 local extinctions are projected to reach 39% worldwide, and species extinctions may reach 20%. Global extinction projections were validated with local extinctions o…

0106 biological sciencesSELECTIONMaleAcclimatizationPopulation DynamicsBiodiversityUNCERTAINTY01 natural sciencesGlobal WarmingBody TemperaturePhylogeny0303 health sciencesMultidisciplinarybiologyGeographyEcologyECTOTHERMSReproductionTemperatureLizardsBiodiversityEXTINCTION RISKBiological EvolutionGeographyEctothermFemaleSeasonsClimate ChangeClimate changePREDICTIONSECOLOGYExtinction Biological010603 evolutionary biologyModels Biological03 medical and health sciencesbiology.animalAnimalsEcosystemSelection GeneticPHYSIOLOGYMexicoEcosystem030304 developmental biologyEcological nicheExtinctionLizardGlobal warmingEVOLUTION13. Climate action[SDE.BE]Environmental Sciences/Biodiversity and EcologyForecasting
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Modelling the effects of more selective trawl nets on the productivity of European hake (Merluccius merluccius) and deep-water rose shrimp (Parapenae…

2018

Single-species Gadget models were used to assess the effects of using a sorting grid mounted on the traditional trawl net used by Sicilian trawlers to exploit the deep-water rose shrimp in the Strait of Sicily. The main commercial by-catch species of this fleet is the European hake (Merluccius merluccius), often caught at sizes well below the minimum conservation reference size. Selectivity curves based on the results of an experimental survey carried out in the area using a commercial trawler equipped with an ad hoc-designed sorting grid were incorporated into single-species Gadget models to forecast the effects of changing fishery selectivity on the performance of the two stocks in terms …

0106 biological sciencesSorting gridforecastFishingestrecho de Siciliatrawl netSH1-691Aquatic ScienceOceanography01 natural sciencesRose shrimplcsh:Aquaculture. Fisheries. AnglingHakeAquaculture. Fisheries. Anglingsorting grids14. Life underwaterlcsh:SH1-691Biomass (ecology)biology010604 marine biology & hydrobiologyselectivitySortingselectividadMerluccius merluccius04 agricultural and veterinary sciencesstrait of sicilybiology.organism_classificationGadget; pronóstico; selectividad; rejillas separadoras; red de arrastre; estrecho de Sicilialanguage.human_languagered de arrastreGadgetStrait of SicilyFisherypronósticoGadget; forecast; selectivity; sorting grids; trawl net; Strait of SicilyProductivity (ecology)gadget040102 fisherieslanguage0401 agriculture forestry and fisheriesEnvironmental sciencerejillas separadorasSicilianScientia Marina
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Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history

2020

Abstract Technological Forecasting and Social Change (TF&SC) celebrates its fiftieth anniversary this year. The anniversary represents an appropriate time for an introspective analysis of the journal's history and impact. This study presents a bibliometric analysis of TF&SC in terms of how often TF&SC is cited by other journals (citation outflow), how often other journals are cited by TF&SC (citation inflow), citations by Web of Science and SCImago disciplinary categories, most-cited articles in TF&SC, co-citation of journals, and co-occurrence of author keywords. Analysis is conducted by using the Web of Science (WOS) database and Visualization of Similarities (VOS) viewer software. The in…

020209 energy05 social sciencesSocial changeInnovation managementLibrary science02 engineering and technologyBibliometricsFutures studiesCitation analysisManagement of Technology and Innovation0502 economics and business0202 electrical engineering electronic engineering information engineeringBusiness and International ManagementCitationDiscipline050203 business & managementApplied PsychologyTechnology forecastingTechnological Forecasting and Social Change
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Comparing two applicative criteria of the soil erosion physical model concept

2017

The physical model represented by a replicated plot has been suggested to be the best possible, unbiased, real world model to predict plot soil erosion. The aim of this investigation was to compare the original applicative criterion of the physical model concept proposed by Nearing with that later suggested by Bagarello et al. The comparison was performed by using three empirical soil erosion models (the Universal Soil Loss Equation [USLE], a modified USLE [USLE-MM], and the Central and Southern Italy [CSI] model) and plot soil loss data collected at the experimental station of Sparacia, in Sicily (southern Italy). The investigation showed that (i) the new criterion was generally more restr…

0208 environmental biotechnologySoil ScienceEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliGeotechnical engineeringErosion Forecasting Sediment transport02 engineering and technology020801 environmental engineering
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Predictive pumping based on sensor data and weather forecast

2019

In energy production, peat extraction has a significant role in Finland. However, protection of nature has become more and more important globally. How do we solve this conflict of interests respecting both views? In peat production, one important phase is to drain peat bog so that peat production becomes available. This means that we have control over how we can lead water away from peat bog to nature without water contamination with solid and other harmful substances. In this paper we describe a novel method how fouling of water bodies from peat bog can be controlled more efficiently by using weather forecast to predict rainfall and thus, minimize the effluents to nature. peerReviewed

0209 industrial biotechnologyInternet of thingsPeat0208 environmental biotechnologyWeather forecastingopen data02 engineering and technologycomputer.software_genrevesistöjen säännöstely020901 industrial engineering & automationLead (geology)Extraction (military)esineiden internetWater pollutionEffluentavoin tietota218turvetuotantota113Foulingta213Environmental engineeringhallintajärjestelmätsäänennustus020801 environmental engineeringWater resourcesälytekniikkaEnvironmental sciencecomputerrain predictionpredictive control
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Does telomere length predict decline in physical functioning in older twin sisters during an 11-year follow-up?

2016

Background: Leucocyte telomere length (LTL) is known to be associated with mortality, but its association with age-related decline in physical functioning and the development of disability is less clear. This study examined the associations between LTL and physical functioning, and investigated whether LTL predicts level of physical functioning over an 11- year follow-up. Methods: Older mono- (MZ) and dizygotic (DZ) twin sisters (n=386) participated in the study. Relative LTL was measured by qPCR at baseline. Physical functioning was measured by 6-min walking distance and level of physical activity (PA). Walking distance was measured at baseline and at 3-year follow-up. PA was assessed by q…

0301 basic medicineAgingmissing data not at randomTwinsphysical activitysix-minute walking testENVIRONMENTAL-FACTORSDevelopmental psychologyPhysical functioningMAXIMAL WALKING SPEEDSix-minute walking testLeukocytesMedicinetwin studyFinlandtelomereHERITABILITYWOMENTwin studyASSOCIATIONGeneral MedicineMiddle AgedTelomere3142 Public health care science environmental and occupational healthSurvival RateCARDIOVASCULAR-DISEASEbiological agingDisease ProgressionFemalePhysical activityfyysinen toimintakykyMotor ActivityArticleBiological aging03 medical and health sciencesWalking distanceAGEDiseases in TwinsHumansMissing data not at randomMotor activityMobility LimitationMETAANALYSISAgedPhysical activitybusiness.industryMORTALITYDisease progressionRepeated measures designHeritabilityTwin study030104 developmental biology3121 General medicine internal medicine and other clinical medicineGeriatrics and GerontologyDANISH TWINSbusinessPhysical functioningDemographyForecasting
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Harnessing Tumor Mutations for Truly Individualized Cancer Vaccines

2019

T cells are key effectors of anticancer immunity. They are capable of distinguishing tumor cells from normal ones by recognizing major histocompatibility complex–bound cancer-specific peptides. Accumulating evidence suggests that peptides associated with T cell–mediated tumor rejection arise predominantly from somatically mutated proteins and are unique to every patient's tumor. Knowledge of an individual's cancer mutanome (the entirety of cancer mutations) allows harnessing this enormous tumor cell–specific repertoire of highly immunogenic antigens for individualized cancer vaccines. This review outlines the preclinical and clinical state of individualized cancer vaccine development and t…

0301 basic medicineAnticancer immunityT-Lymphocytesmedicine.medical_treatmentTumor cellsCancer VaccinesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineAntigens NeoplasmNeoplasmsAnimalsHumansMedicineMolecular Targeted TherapyPrecision Medicinebusiness.industryEffectorCancerGeneral MedicineImmunotherapymedicine.diseaseTreatment Outcome030104 developmental biology030220 oncology & carcinogenesisMutationCancer researchImmunotherapybusinessForecastingMajor histocompatibilityAnnual Review of Medicine
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