Search results for "Regression"
showing 10 items of 2619 documents
Relationship between Perception and Socio-Economic Characteristics of Culture Community in the Development of Marine Ecotourism in Nusmapi Island
2021
Marine tourism is a type of special interest tourism, namely by managing and utilizing marine and coastal landscapes, both those that are managed directly such as swimming, boating, snorkeling, diving, or indirectly such as picnics and beach sports. Nusmapi Island has the potential to be developed as a marine tourism object which has the potential for waters and coral reefs that are in good condition. The purpose of this study was to determine the relationship between the level of public perception and the socio-economic conditions of the local community on Nusmapi Island. In October-November 2020 this research was carried out on Nusmapi Island, Manokwari Regency. The descriptive explorator…
The Perception and Attitudes Towards City Garbage Management: A First Analysis
2017
The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirma…
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine
2022
Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a workflow to automate spatiotemporal mapping of essential vegetation traits from Sentinel-3 (S3) imagery. The traits included leaf chlorophyll content (LCC), leaf area index (LAI), fraction of absorbed photosynthetically active radiation (FAPAR), and fractional vegetation cover (FVC), being fundamental for assessing photosynthetic activity on Earth. The workflow involved Gaussian process regression (GPR) algorithms trained on top-of-atmosphere (TOA) radiance simulations generated by the coupled canopy radiative transfer model (RTM) SC…
Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes.
2021
The restrictive measures implemented in response to the COVID-19 pandemic have triggered sudden massive changes to travel behaviors of people all around the world. This study examines the individual mobility patterns for all transport modes (walk, bicycle, motorcycle, car driven alone, car driven in company, bus, subway, tram, train, airplane) before and during the restrictions adopted in ten countries on six continents: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. This cross-country study also aims at understanding the predictors of protective behaviors related to the transport sector and COVID-19. Findings hinge upon an online survey con…
An approach to identify new antihypertensive agents using Thermolysin as model: In silico study based on QSARINS and docking
2019
Thermolysin is a bacterial proteolytic enzyme, considered by many authors as a pharmacological and biological model of other mammalian enzymes, with similar structural characteristics, such as angiotensin converting enzyme and neutral endopeptidase. Inhibitors of these enzymes are considered therapeutic targets for common diseases, such as hypertension and heart failure. In this report, a mathematical model of Multiple Linear Regression, for ordinary least squares, and genetic algorithm, for selection of variables, are developed and implemented in QSARINS software, with appropriate parameters for its fitting. The model is extensively validated according to OECD standards, so that its robust…
Reply to "The association of red blood cell distribution width and morbid obesity" by Aydin et al.
2014
We thank Aydin & cols. for their comments about our recently published paper “Red blood cell distribution width is not related with inflammatory parameters in morbidly obese patients” in Clinical Biochemistry Journal [1]. The authors show their concern about the clinical interpretation of our findings since we did not report folate and B12 vitamin levels. Moreover, they state that we should demonstrate the elimination of thrombocytopenic diseases by showing platelet count data. Aswe state in the paper, exclusion criteria for obese patients included “organic, malignant, hematological, infectious or inflammatory disease”. Therefore, any case of thrombocytopenic disease was not included. Moreo…
Use of dietary supplements and anabolic-androgenic steroids among Finnish adolescents in 1991-2005.
2009
Background : The aim of the study was to describe the prevalence, trends and associated factors of dietary supplements (DS) and anabolic-androgenic steroids (AAS) use among Finnish adolescents. Methods: The sample comprised 30 511 adolescents aged 12–18 years, of which 22 519 (74%) answered a questionnaire. We also studied associations between 14 socioeconomic, health and health behavioural variables and DS and AAS use by logistic regression. Results: The proportion of respondents using DS was 45% during the past year and it increased linearly by age. Vitamins (37%) and herbal products (13%) were the most common DSs. In 1991, 9% of the boys aged 16–18 years reported protein use, while the f…
ELM Regularized Method for Classification Problems
2016
Extreme Learning Machine (ELM) is a recently proposed algorithm, efficient and fast for learning the parameters of single layer neural structures. One of the main problems of this algorithm is to choose the optimal architecture for a given problem solution. To solve this limitation several solutions have been proposed in the literature, including the regularization of the structure. However, to the best of our knowledge, there are no works where such adjustment is applied to classification problems in the presence of a non-linearity in the output; all published works tackle modelling or regression problems. Our proposal has been applied to a series of standard databases for the evaluation o…
Partial least squares-near infrared determination of pesticides in commercial formulations
2007
Abstract A solvent free, fast and environmentally friendly near infrared-based methodology (NIR) was developed for pesticide determination in commercially available formulations. This methodology was based on the direct measurement of the diffuse reflectance spectra of solid samples and a multivariate calibration model (partial least squares, PLS) to determine the active principle concentration in commercial formulations. The PLS calibration set was built on using the spiked samples by mixing different amounts of pesticide standards and powdered samples. Buprofezin, Diuron and Daminozide were used as test analytes. Concentration of Buprofezin in the samples was calculated employing a 4-fact…
Quantitative Transfer Function Approaches in Palaeoclimatic Reconstruction Using Quaternary Ostracods
2012
Abstract Quantifying (palaeo-)environmental changes is a key challenge for aquatic biological proxies, but the number of published transfer functions is increasing rapidly for the main palaeoecologically relevant groups such as diatoms and chironomids, and several transfer functions have also been developed during the past decades based on ostracod findings. The main environmental variables influencing the species assemblage composition in ostracod training sets are specific ion concentrations or ratios, salinity, water temperature and/or water depth. The available transfer functions and training sets are globally scattered, but often regionally restricted in their application. The most com…