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1. An empirical test of the relationship between the bootstrap and likelihood ratio support in maximum likelihood phylogenetic analysis

Author:
Denis Jacob Machado; Fernando Portella de Luna Marques; Larry Jiménez‐Ferbans; Taran Grant
Source:
Cladistics 2022 v.38 no.3 pp. 392-401
ISSN:
0748-3007
Subject:
statistical analysis,   etc   ; data collection; phylogeny;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.1111/cla.12496

2. Dating the Origin and Estimating the Transmission Rates of the Major HIV-1 Clusters in Greece: Evidence about the Earliest Subtype A1 Epidemic in Europe

Author:
Stefanos Limnaios; Evangelia Georgia Kostaki; Georgios Adamis; Myrto Astriti; Maria Chini; Nikos Mangafas; Marios Lazanas; Stavros Patrinos; Simeon Metallidis; Olga Tsachouridou; Vasileios Papastamopoulos; Eleni Kakalou; Dimitrios Chatzidimitriou; Anastasia Antoniadou; Antonios Papadopoulos; Mina Psichogiou; Dimitrios Basoulis; Maria Gova; Dimitrios Pilalas; Dimitra Paraskeva; Georgios Chrysos; Vasileios Paparizos; Sofia Kourkounti; Helen Sambatakou; Vasileios Bolanos; Nikolaos V. Sipsas; Malvina Lada; Emmanouil Barbounakis; Evrikleia Kantzilaki; Periklis Panagopoulos; Efstratios Maltezos; Stelios Drimis; Vana Sypsa; Pagona Lagiou; Gkikas Magiorkinis; Angelos Hatzakis; Lemonia Skoura; Dimitrios Paraskevis
Source:
Viruses 2022 v.14 no.1 pp. -
ISSN:
1999-4915
Subject:
statistical analysis,   etc   ; public health; Greece;     Show all 3 Subjects
Abstract:
... 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 ...
DOI:
10.3390/v14010101

3. Discharge estimation in wide meandering compound channels

Author:
P.K. Mohanty; L.P. Mohanty; K.K. Khatua
Source:
ISH journal of hydraulic engineering 2022 v.28 no.S1 pp. 101-115
ISSN:
2164-3040
Subject:
statistical analysis,   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 ...
DOI:
10.1080/09715010.2019.1703834

4. Multiple power quality disturbances analysis in photovoltaic integrated direct current microgrid using adaptive morphological filter with deep learning algorithm

Author:
P.K. Dash; Eluri N.V.D.V. Prasad; Ravi Kumar Jalli; S.P. Mishra
Source:
Applied energy 2022 v.309 pp. 118454
ISSN:
0306-2619
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.apenergy.2021.118454

5. Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells

Author:
Ahmed Fathy; Thanikanti Sudhakar Babu; Mohammad Ali Abdelkareem; Hegazy Rezk; Dalia Yousri
Source:
Energy 2022 v.248 pp. 123587
ISSN:
0360-5442
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.energy.2022.123587

6. SCC-UEFAS, an urban-ecological-feature based assessment system for sponge city construction

Author:
Zi-Tong Zhao; Hou-Ming Cheng; Sheng Wang; Hai-Yan Liu; Zi-Ming Song; Jun-Hui Zhou; Ji-Wei Pang; Shun-Wen Bai; Shan-Shan Yang; Jie Ding; Nan-Qi Ren
Source:
Environmental science & ecotechnology 2022 v.12 pp. 100188
ISSN:
2666-4984
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.ese.2022.100188

7. Analysis of correlated circular and extremal data with a flexible cylindrical distribution

Author:
Zeynep Kalaylioglu
Source:
Environmental and ecological statistics 2022 v.29 no.1 pp. 207-222
ISSN:
1352-8505
Subject:
statistical analysis,   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 ...
DOI:
10.1007/s10651-021-00515-2

8. Battery pack consistency modeling based on generative adversarial networks

Author:
Xinyuan Fan; Weige Zhang; Bingxiang Sun; Junwei Zhang; Xitian He
Source:
Energy 2022 v.239 pp. 122419
ISSN:
0360-5442
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.energy.2021.122419

9. Comprehensive characterization of cattle manure bio-oil for scale-up assessment comparing non-equivalent reactor designs

Author:
Tarcísio Martins Santos; Wenes Ramos da Silva; Jhonattas de Carvalho Carregosa; Alberto Wisniewski
Source:
Journal of analytical and applied pyrolysis 2022 v.162 pp. 105465
ISSN:
0165-2370
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.jaap.2022.105465

10. Diversity of Wood-Decaying Fungi in Wuliangshan Area, Yunnan Province, P.R. China

Author:
Xiao He; Chang-Lin Zhao
Source:
Diversity 2022 v.14 no.2 pp. -
ISSN:
1424-2818
Subject:
statistical analysis,   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 ...
DOI:
10.3390/d14020131

11. Multiple-peak HVSR curves: Management and statistical assessment

Author:
G. Dal Moro; G.F. Panza
Source:
Engineering geology 2022 v.297 pp. 106500
ISSN:
0013-7952
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.enggeo.2021.106500

12. Power transformation of variables for post-processing precipitation forecasts: Regionally versus locally optimized parameter values

Author:
Yiliang Du; Quan J. Wang; Wenyan Wu; Qichun Yang
Source:
Journal of hydrology 2022 v.610 pp. 127912
ISSN:
0022-1694
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.jhydrol.2022.127912

13. Structural Asymmetry of Metallic Single-Atom Contacts Detected by Current–Voltage Characteristics

Author:
Yuji Isshiki; Dongzhe Li; Manabu Kiguchi; Tomoaki Nishino; Fabian Pauly; Shintaro Fujii
Source:
ACS applied materials & interfaces 2022 v.14 no.9 pp. 11919-11926
ISSN:
1944-8252
Subject:
statistical analysis,   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 ...
DOI:
10.1021/acsami.1c24096

14. Achieving Robust and Transferable Performance for Conservation‐Based Models of Dynamical Physical Systems

Author:
Feifei Zheng; Junyi Chen; Holger R. Maier; Hoshin Gupta
Source:
Water resources research 2022 v.58 no.5 pp. e2021WR031818
ISSN:
0043-1397
Subject:
statistical analysis,   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 ...
DOI:
10.1029/2021WR031818

15. An Apple Tree Branch Pruning Analysis

Author:
Azlan Zahid; Md Sultan Mahmud; Long He; James Schupp; Daeun Choi; Paul Heinemann
Source:
HortTechnology 2022 v.32 no.2 pp. 90-98
ISSN:
1943-7714
Subject:
statistical analysis,   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 ...
DOI:
10.21273/HORTTECH04924-21

16. An Introduction to Some Concepts in Statistical Analysis and Quantitative Genetics for Sugarcane Breeding Programs

Author:
Phillip Jackson; Emily Deomano; Xianming Wei
Source:
Sugar tech 2022 v.24 no.1 pp. 298-319
ISSN:
0972-1525
Subject:
statistical analysis,   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 ...
DOI:
10.1007/s12355-021-01071-6

17. Common Decoy Distributions Simplify False Discovery Rate Estimation in Shotgun Proteomics

Author:
Dominik Madej; Long Wu; Henry Lam
Source:
Journal of proteome research 2022 v.21 no.2 pp. 339-348
ISSN:
1535-3907
Subject:
statistical analysis,   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 ...
DOI:
10.1021/acs.jproteome.1c00600

18. Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial Scales Using GPU-Accelerated Kernel Density Estimation

Author:
Guiming Zhang
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
statistical analysis,   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 ...
DOI:
10.3390/ijgi11010055

19. Estimating the fundamental niche: Accounting for the uneven availability of existing climates in the calibration area

Author:
L. Jiménez; J. Soberón
Source:
Ecological modelling 2022 v.464 pp. 109823
ISSN:
0304-3800
Subject:
statistical analysis,   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 ...
DOI:
10.1016/j.ecolmodel.2021.109823

20. Free Global DEMs and Flood Modelling—A Comparison Analysis for the January 2015 Flooding Event in Mocuba City (Mozambique)

Author:
Julio Garrote
Source:
Water 2022 v.14 no.2 pp. -
ISSN:
2073-4441
Subject:
statistical analysis,   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 ...
DOI:
10.3390/w14020176