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A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conducted by simplifying the basic form of KMA.
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Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data was reported at 3,899.000 Unit in 2017. This records an increase from the previous number of 3,636.000 Unit for 2016. Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data is updated yearly, averaging 1,771.500 Unit from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 3,899.000 Unit in 2017 and a record low of 468.000 Unit in 2010. Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB005: Aircraft Traffic: Domestic.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
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MB "Komodo Modo" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA).
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This dataset is for conservation awareness program in Flores, NTT, Indonesia.
Price prediction data for Komodo on 2025-08-11
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Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data was reported at 515.000 Unit in 2017. This records an increase from the previous number of 119.000 Unit for 2016. Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data is updated yearly, averaging 152.000 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 531.000 Unit in 2009 and a record low of 2.000 Unit in 2013. Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.TD009: Ship Calls: Domestic Voyage: by Non Commercial Port.
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Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data was reported at 217,922.000 Person in 2017. This records an increase from the previous number of 174,404.000 Person for 2016. Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data is updated yearly, averaging 54,457.000 Person from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 217,922.000 Person in 2017 and a record low of 17,687.000 Person in 2010. Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB007: Passenger Traffic: Domestic.
Industrias Komodo Sa De Cv Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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Loss of dispersal typifies island biotas, but the selective processes driving this phenomenon remain contentious. This is because selection via, both indirect (e.g. relaxed selection or island syndromes) and direct (e.g. natural selection or spatial sorting) processes may be involved, and no study has yet convincingly distinguished between these alternatives. Here we combined observational and experimental analyses of an island lizard, the Komodo dragon (Varanus komodoensis, the world’s largest lizard), to provide evidence for the actions of multiple processes that could contribute to island dispersal loss. In the Komodo dragon, concordant results from telemetry, simulations, experimental translocations, mark-recapture and gene flow studies indicated that despite impressive physical and sensory capabilities for long distance movement, Komodo dragons exhibited near complete dispersal restriction: individuals rarely moved beyond the valleys they were born/captured in. Importantly, lizard site-fidelity was insensitive to common agents of dispersal evolution (i.e. indices of risk for inbreeding, kin and intraspecific competition and low habitat quality) that consequently reduced survival of resident individuals. We suggest that direct selection restricts movement capacity (e.g. via benefits of spatial philopatry and increased costs of dispersal) alongside use of dispersal-compensating traits (e.g. intraspecific niche partitioning) to constrain dispersal in island species.
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Prevalence of study endpoint among PPS-exposed patients.
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Recent developments include: In February 2024, Veradigm published its first Veradigm Insights Report: Cardiovascular Conditions in 2024, analyzing de-identified real-world data from 53 million cardiovascular patients. The report assesses the prevalence of cardiovascular disease (CVD) and related conditions across all U.S. states, with demographic breakdowns based on age, ethnicity, and sex. , In July 2021, Verana Health and Komodo Health partnered to integrate Komodo’s Healthcare Map into Verana’s de-identified EHR datasets, spanning over 325 million patient journeys. This collaboration aims to provide life sciences researchers with detailed insights into patient pathways, encompassing treatment histories, hospitalizations, and socioeconomic factors. The partnership is expected to enhance research efforts in ophthalmology, neurology, and urology by combining clinical outcomes with real-world patient data, supporting more informed treatment development. , In September 2024, ICON announced a collaboration with Intel to utilize de-identified data from its clinical research platform alongside Intel's AI technology. This partnership enhances patient recruitment and streamlines clinical trial processes by deriving insights from de-identified patient data. The initiative aims to advance precision medicine and improve efficiencies in drug development and outcomes by integrating ICON's clinical trial expertise with Intel's AI capabilities. .
Price prediction data for Komodo on 2025-08-02
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These are peer-reviewed supplementary materials for the article 'Burden of illness for patients with primary biliary cholangitis: an observational study of clinical characteristics and healthcare resource utilization' published in the Journal of Comparative Effectiveness Research.Supplementary Table 1: Codes used for cirrhosis diagnosis and imaging biopsy proceduresAim: To evaluate the clinical characteristics and healthcare resource utilization for acute care and its costs for patients with primary biliary cholangitis (PBC) with or without cirrhosis. Materials & methods: This retrospective observational cohort study was conducted using two datasets (Komodo’s Healthcare Map™ [Komodo Health] and Optum Clinformatics R ? Data Mart [CDM] database) between 2015 and 2023. Patients (≥18 years) with PBC were identified based on ≥1 inpatient or ≥2 outpatient claims. Healthcare resource utilization for acute care (hospitalizations and emergency department [ED] visits [not leading to hospitalization]) were assessed in both datasets, and associated medical costs were evaluated in Optum CDM. Results: In Komodo Health, of the 29,758 patients with PBC (mean age: 59.2 years), 21.6% had cirrhosis and 50.4% of patients with cirrhosis had Medicaid or Medicare coverage. Of the total 8143 patients in Optum CDM (mean age: 67.0 years), 20.7% had cirrhosis, and most were enrolled in Medicare (69.7%). There was a larger proportion of men in the cirrhosis group compared with the no-cirrhosis group in Komodo Health (31.7 vs 16.3%) and Optum CDM (29.7 vs 16.5%). Annually, among patients with cirrhosis who had a hospitalization, 69.3% had additional hospitalizations, and among patients who had an ED visit, 52.9% had additional ED visits in Komodo Health; similar results were observed in Optum CDM. Among patients with at least one acute-care event, the mean annual acute-care costs with and without cirrhosis were $113,568 and $47,436, respectively. Conclusion: Data from two large healthcare claims databases showed that the majority of patients who had at least one acute-care event experienced additional acute-care events, particularly among those with cirrhosis. Timely treatment to avoid hospitalization and disease progression may help mitigate the clinical and economic burden for patients with PBC.
Intense trapping of the critically endangered Yellow-crested Cockatoo Cacatua sulphurea for the International pet trade has devastated its populations across Indonesia such that populations >100 individuals remain at only a handful of sites. We combined distance sampling with density surface modeling (DSM) to predict local densities and estimate total population size for one of these areas, Komodo Island, part of Komodo National Park (KNP) in Indonesia. We modeled local density based on topography (topographic wetness index) and habitat types (percentage of palm savanna and deciduous monsoon forest). Our population estimate of 1,113 (95% CI: 587–2,109) individuals on Komodo Island was considerably larger than previous conservative estimates. Our density surface maps showed cockatoos to be absent over much of the island, but present at high densities in wooded valleys. Coincidence between our DSM and a set of independent cockatoo observations was high (93%). Standardized annual coun...
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Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data was reported at 172,556.000 kg in 2017. This records an increase from the previous number of 147,476.000 kg for 2016. Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data is updated yearly, averaging 47,368.000 kg from Dec 2007 (Median) to 2017, with 10 observations. The data reached an all-time high of 172,556.000 kg in 2017 and a record low of 17,873.000 kg in 2010. Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB019: Cargo Departure: Domestic: by Origin and Destination.
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The complete Comodo Internet Security database is available for download...