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... In maximum likelihood (ML), the support for a clade can be calculated directly as the likelihood ratio (LR) or log‐likelihood difference (S, LLD) of the best trees with and without the clade of interest. However, bootstrap (BS) clade frequencies are more pervasive in ML phylogenetics and are almost universally interpreted as measuring support. In addition to theoretical arguments against that inte ...
... Our aim was to estimate the date of the origin and the transmission rates of the major local clusters of subtypes A1 and B in Greece. Phylodynamic analyses were conducted in 14 subtype A1 and 31 subtype B clusters. The earliest dates of origin for subtypes A1 and B were in 1982.6 and in 1985.5, respectively. The transmission rate for the subtype A1 clusters ranged between 7.54 and 39.61 infections ...
statisticalanalysis, etc ; floodplains; models; prediction; Show all 4 Subjects
Abstract:
... A model for stage–discharge relationship in two-stage wide meandering channels, devised by statistical analysis of new experimental boundary shear data and some published shear data, is presented. By evaluating the measured boundary shear percentage on floodplains of unequal length on either side along with corresponding wetted area percentage for sinuous channels, it is seen that different but pa ...
statisticalanalysis, etc ; algorithms; electric potential difference; Show all 3 Subjects
Abstract:
... In this paper, an adaptive multiscale enhanced average combination morphological filter is proposed to analyze voltage signals captured at the point of common coupling of the photovoltaic integrated direct current microgrid for diagnosing several power quality disturbances. This method performs multiscale operation on the power quality disturbance signals from which the optimized structuring eleme ...
statisticalanalysis, etc ; algorithms; energy; fuel cells; Show all 4 Subjects
Abstract:
... A consistent and precise mathematical modeling play a vital role in the performance analysis of fuel cells (FCs) system. Model's efficiency completely depends on design accuracy. Thereby the modeling and estimation of FCs' parameters attracted numerous researchers. In this article, new innovative algorithms named heterogeneous comprehensive learning Archimedes optimization algorithm (HCLAOA) for e ...
statisticalanalysis, etc ; decision making; environmental science; Show all 3 Subjects
Abstract:
... An effective sponge city construction evaluation system plays a crucial role in evaluating sponge city construction schemes. The construction of a sponge city evaluation system still faces challenges related to incomplete index selection and unscientific weight division. Limited studies have focused on the comprehensive assessment of sponge city construction in the early stages. This study constru ...
statisticalanalysis, etc ; data collection; models; wind speed; Show all 4 Subjects
Abstract:
... In this article, we introduce a flexible cylindrical distribution for modeling and analysis of dependent extremal and directional observations. The distribution can be used to investigate the connection between two related phenomena, such as the daily fastest wind speed and its direction. The proposed model is applicable for the analysis of a wide variety of cylindrical data, including datasets wi ...
statisticalanalysis, etc ; batteries; electric potential difference; models; Show all 4 Subjects
Abstract:
... In working condition of battery packs, the battery pack consistency has a great impact on the overall performance of the battery pack. In order to build an accurate battery pack model, we need to build a battery pack consistency model. Firstly, we used a Gaussian mixture model to fit the statistical characteristics of a single parameter. This method can accurately fit the skewness in the parameter ...
statisticalanalysis, etc ; biofuels; cattle manure; liquids; pyrolysis; Show all 5 Subjects
Abstract:
... Microscale pyrolysis reactors are used to predict the properties of pyrolysis products and/or optimize operating conditions. However, a major challenge encountered with these systems concerns reactor scale-up, since the conception of an equivalent large-scale configuration involves a complex step of mathematical analysis of the process. Furthermore, the effect of scale for different reactor config ...
statisticalanalysis, etc ; Bayesian theory; genes; phylogeny; China; Show all 5 Subjects
Abstract:
... Five surveys were carried out in the Wuliangshan area, Yunnan Province, P.R. China, based on a combination of morphological features and molecular evidence. Around 2454 specimens of wood-decaying fungi were collected. The paper summarizes the obtained results on the wood-decaying fungi of this area, consisting in 95 species distributed in 59 genera, 23 families and 9 orders. Their hosts and substr ...
statisticalanalysis, etc ; data collection; geology; landscapes; soil; Show all 5 Subjects
Abstract:
... The Horizontal-to-Vertical Spectral Ratio (HVSR) obtained from microtremor data recorded at three test sites are analyzed in order to highlight some issues related to the computation of the SESAME criteria that define the statistical robustness of possible peaks. In case of multiple-peak HVSR curves, it is shown that to properly assess the statistical properties of a peak and avoid the problem of ...
statisticalanalysis, etc ; hydrology; models; weather forecasting; Australia; Show all 5 Subjects
Abstract:
... Short-term precipitation forecasts are mainly derived from numerical weather prediction (NWP) models. Raw NWP forecasts typically require post-processing to improve their accuracy and reliability through statistical calibration. For post-processing precipitation forecasts, several well-known calibration models employ power transformation to remove the positive skewness of precipitation. The most c ...
statisticalanalysis, etc ; ambient temperature; asymmetry; electrodes; geometry; Show all 5 Subjects
Abstract:
... The complex behavior of the simplest atomic-scale conductors indicates that the electrode structure itself is significant in the design of future nanoscale devices. In this study, the structural asymmetry of metallic atomic contacts formed between two macroscopic Au electrodes at room temperature was investigated. Characteristic signatures of the structural asymmetries were detected by fast curren ...
statisticalanalysis, etc ; model validation; prediction; research; runoff; uncertainty; Show all 6 Subjects
Abstract:
... Because physics‐based models of dynamical systems are constrained to obey conservation laws, they must typically be fed long sequences of temporally consecutive (TC) data during model calibration and evaluation. When memory time scales are long (as in many physical systems), this requirement makes it difficult to ensure distributional similarity when partitioning the data into independent, TC, cal ...
statisticalanalysis, etc ; Malus domestica; apples; cultivars; robots; torque; Show all 6 Subjects
Abstract:
... The torque required to cut branches is an important parameter for designing a robotic end-effector for pruning apple (Malus ×domestica) trees. In this study, the branch cutting torque was measured because it is important for the future development of a robotic pruning end-effector. To measure the branch cutting torque, a force-measuring sensor was integrated with a manual shear pruner. An inertial ...
statisticalanalysis, etc ; data quality; quantitative genetics; sugarcane; sugars; Show all 5 Subjects
Abstract:
... Application of statistical analysis and quantitative genetics varies among sugarcane breeding programs around the world. Some methods and concepts are difficult to understand for those without an educational background in statistics. This paper is mainly targeted at readers with little prior experience in statistical analysis and quantitative genetics and aims to encourage further study and applic ...
statisticalanalysis, etc ; databases; peptides; proteome; proteomics; research; viability; Show all 7 Subjects
Abstract:
... In shotgun proteomics, false discovery rate (FDR) estimation is a necessary step to ensure the quality of accepted peptide-spectrum matches (PSMs) from a database search. Popular statistical validation tools for FDR control tend to rely on target-decoy searching to build empirical, dataset-specific models, which often leads to inaccurate FDR estimates. In this paper, we propose a new approach name ...
statisticalanalysis, etc ; data analysis; data quality; spatial data; Show all 4 Subjects
Abstract:
... Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observation hot-spots thus helps better understand the bias. Enabled by the parallel kernel density estimation (KDE) computational tool that can run on mult ...
statisticalanalysis, etc ; geographical distribution; invasive species; models; niches; Show all 5 Subjects
Abstract:
... Studies that question important conceptual and methodological aspects of the field of ecological niche modeling (and species distribution modeling) have cast doubts on whether it is possible to estimate the fundamental niche of a species using presence-only data. The main limitation in niche estimation is that presence data come from the realized niche, which is only a subset of the fundamental ni ...
statisticalanalysis, etc ; data collection; hazard characterization; water; Mozambique; Show all 5 Subjects
Abstract:
... Flood hazard and risk analysis in developing countries is a difficult task due to the absence or scarce availability of flow data and digital elevation models (DEMs) with the necessary quality. Up to eight DEMs (ALOS Palsar, Aster GDEM, Bare Earth DEM, SRTM DEM, Merit DEM, TanDEM-X DEM, NASA DEM, and Copernicus DEM) of different data acquisition, spatial resolution, and data processing were used t ...