Search results for "Long-term change"

showing 4 items of 4 documents

Continuous subcutaneous Insulin infusion leads to immediate, table, and long-term changes in metabolic control

2008

Background:  Evaluations of continuous subcutaneous insulin infusion (CSII) usually focus on one pre- and one post-CSII measurement to assess metabolic therapy outcome. Aim:  Extending this research, the aim of the present study was to provide a more fine-grained analysis of achieved glycaemic control. Methods:  In 52 patients with type 1 diabetes (mean age of 37.85 years at CSII begin; s.d. ± 12.41), haemoglobin A1c (HbA1c) levels were assessed every 3 months over a period of 5 years (1 year before and 4 years after the introduction of CSII). Mixed models were utilized to describe changes in glycaemic control. Results:  The pre–post course showed that already in the first quarter, a statis…

mixed modelsAdultBlood GlucoseMalemedicine.medical_specialtyPediatricstype 1 diabetesEndocrinology Diabetes and MetabolismModels BiologicalDrug Administration ScheduleTimeHba1c levelEndocrinologyDiabetes mellitusInternal Medicinemedicinefollow upHumansHypoglycemic AgentsInsulinAge of OnsetGlycated HemoglobinType 1 diabetesHaemoglobin A1cbusiness.industry10093 Institute of PsychologyCSIIMean ageInfusion Pumps ImplantableMiddle AgedPrognosismedicine.diseaseSubcutaneous insulinSurgery1310 Endocrinologylong-term changes2712 Endocrinology Diabetes and MetabolismDiabetes Mellitus Type 1Treatment Outcome2724 Internal MedicineMetabolic control analysisFemalebusiness150 PsychologyFollow-Up StudiesMetabolic therapy
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Long-term changes in the water temperature of rivers in Latvia

2016

Abstract The study describes the trends of monthly mean water temperature (from May to October) and the annual maximum water temperature of the rivers in Latvia during the time period from 1945 to 2000. The results demonstrated that the mean water temperatures during the monitoring period from May to October were higher in the largest rivers (from 13.6 °C to 16.1 °C) compared to those in the smallest rivers (from 11.5 °C to 15.7 °C). Similar patterns were seen for the maximum water temperature: in large rivers from 22.9 °C to 25.7 °C, and in small rivers from 20.8 °C to 25.8 °C. Generally, lower water temperatures occurred in rivers with a high groundwater inflow rate, for example, in river…

Hydrologylong-term changesMultidisciplinaryGeneral interestwater temperatureWater temperatureriverScienceQlatviaTerm (time)Proceedings of the Latvian Academy of Sciences. Section B, Natural Sciences
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Sub-critical filtration conditions of commercial hollow-fibre membranes in a submerged anaerobic MBR (HF-SAnMBR) system: The effect of gas sparging i…

2012

A submerged anaerobic MBR demonstration plant with two commercial hollow-fibre ultrafiltration systems (PURON®, Koch Membrane Systems, PUR-PSH31) was operated using municipal wastewater at high levels of mixed liquor total solids (MLTS) (above 22gL -1). A modified flux-step method was applied to assess the critical flux (J C) at different gas sparging intensities. The results showed a linear dependency between J C and the specific gas demand per unit of membrane area (SGD m). J C ranged from 12 to 19LMH at SGD m values of between 0.17 and 0.5Nm 3h -1m -2, which are quite low in comparison to aerobic MBR. Long-term trials showed that the membranes operated steadily at fluxes close to the est…

Hollow-fibre membraneINGENIERIA HIDRAULICABiofoulingMicrofiltrationModified flux-step methodUltrafiltrationWastewaterSludgelaw.inventionGas spargingBioreactorslawFlux-step methodCritical fluxWaste Management and DisposalSpargingHollow fiber membranePriority journalWaste water managementChemistryMembraneGeneral MedicineEquipment DesignHollow fiber reactorMembraneGasesWaste waterPorosityAnaerobic membrane bioreactorEnvironmental EngineeringUltrafiltrationBioreactorBioengineeringWater filtrationArticleBacteria AnaerobicBioreactorMicrofiltrationIndustrial hollow-fibre membranesFiltrationTECNOLOGIA DEL MEDIO AMBIENTESubmerged anaerobic membrane bioreactorChromatographyMembranesFoulingRenewable Energy Sustainability and the EnvironmentLong-term changeMembranes ArtificialEquipment Failure AnalysisHollow fiber membraneComparative studyAnoxic conditions
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BioTIME: A database of biodiversity time series for the Anthropocene

2018

Abstract Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, th…

Data Papers0106 biological sciencesRange (biology)QH301 BiologytemporalNERCBiodiversity:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]BIALOWIEZA NATIONAL-PARKspecialcomputer.software_genre[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesspecies richnessSDG 15 - Life on LandbiodiversityGlobal and Planetary ChangeB003-ecologyDatabaseEcologySampling (statistics)SIMULATED HERBIVORYsupporting technologiesLAND-BRIDGE ISLANDS[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCglobal/dk/atira/pure/thematic/inbo_th_00032PRIMEVAL TEMPERATE FORESTGeographyPOPULATION TRENDS/dk/atira/pure/discipline/B000/B003biodiversity; global; special; species richness; temporal; turnoverData PaperSECONDARY FORESTEvolutionESTUARINE COASTAL LAGOON010603 evolutionary biology/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterQH301[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsBehavior and SystematicsAnthropocenebiodiversity; global; spatial; species richness; temporal; turnover; Global and Planetary Change; Ecology Evolution Behavior and Systematics; EcologyVDP::Mathematics and natural science: 400::Zoology and botany: 480species richne14. Life underwaterSDG 14 - Life Below WaterNE/L002531/1ZA4450Relative species abundanceEcology Evolution Behavior and SystematicsZA4450 Databases010604 marine biology & hydrobiologyturnoverRCUKBiology and Life SciencesDAS/dk/atira/pure/technological/ondersteunende_technieken15. Life on landDECIDUOUS FORESTspatialTaxonFish13. Climate actionMCPWildlife Ecology and ConservationLONG-TERM CHANGESpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologycomputerGlobal and Planetary ChangeBIRD COMMUNITY DYNAMICSVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
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