Article
Forestry
T. Searls, X. Zhu, D. W. McKenney, R. Mazumder, J. Steenberg, G. Yan, F-R Meng
Summary: Climate has a significant impact on tree growth, and understanding the relationship between climate variables and tree growth is crucial for forest management. The study in Newfoundland and Labrador found that growing degree-days (GDD) have differing effects on tree productivity in warmer and cooler regions, while precipitation does not significantly limit species productivity in the province. These findings have implications for the productivity of spruce-fir forests in the region, especially when considering future climate projections.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Multidisciplinary Sciences
Byeongtaek Kim, Keonwoo Lee, Kyungnam Ko, Jungchul Choi
Summary: Long-term offshore wind resource assessment was conducted for an offshore site off the Daejeong coast on Jeju Island of South Korea. The wind characteristics and suitable wind turbine classes were analyzed based on 1-year wind measurements, and the 30-year wind conditions were estimated using the MCP method. The estimated average wind speed at 100.5 m AMSL was 7.86 m/s, and the wind turbine class II rating was found to be suitable for enduring extreme wind speeds for a return period of 50 years. The estimated 30-year capacity factors ranged from 30.48% to nearly 45%.
SCIENTIFIC REPORTS
(2022)
Article
Geochemistry & Geophysics
Yaxuan Chang, Ziti Jiao, Xiaoning Zhang, Linlu Mei, Yadong Dong, Siyang Yin, Lei Cui, Anxin Ding, Jing Guo, Rui Xie, Zidong Zhu, Sijie Li
Summary: This study assessed a series of hotspot-corrected Ross-Li models in fitting POLDER data sets and estimating albedo, especially at large solar zenith angles. The results indicate that BRDF models with appropriately selected kernels are likely to retrieve albedo more accurately at large SZAs, providing guidance for selecting suitable combinations of multiple kernels.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Public, Environmental & Occupational Health
Joseph J. Palamar
Summary: The study found that the prevalence of Kratom use in the past year in the U.S. is 0.7%, with a higher likelihood of use among individuals with prescription opioid use disorder. In addition to prescription opioid use disorder, individuals who reported past-year cannabis, cocaine, and prescription stimulant misuse also had a higher likelihood of using Kratom. Further research is needed to understand the reasons for Kratom use and potential risks associated with its use alongside other drugs.
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
(2021)
Article
Remote Sensing
Natalia Malaga, Sytze de Bruin, Ronald E. McRoberts, Alexs Arana Olivos, Ricardo de la Cruz Paiva, Patricia Duran Montesinos, Daniela Requena Suarez, Martin Herold
Summary: This study evaluates the use of a global aboveground biomass (AGB) map as auxiliary information for subnational AGB estimates in the Peruvian Amazonia and analyzes the sources of uncertainty. The results show that the calibrated map can improve the precision of AGB estimates, but the contribution of within block variability is significant.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Oncology
Goncalo Forjaz, Nadia Howlader, Steve Scoppa, Christopher J. Johnson, Angela B. Mariotto
Summary: In the United States, approximately 20% of primary cancers are secondary or subsequent. By adjusting the cause-specific death classification algorithm to include patients with prior tumors, the study found that there were no significant differences in cause-specific survival estimates for most cancer types between the two cohorts.
Article
Ecology
Chun-Huo Chiu
Summary: A new richness estimator is proposed in this study based on sample-based incidence data collected through sampling without replacement. The estimator uses a truncated beta-binomial mixture model and does not require iterative numerical algorithms for parameter estimation. Simulation experiments and comparison with other estimators demonstrate that the proposed estimator has lower bias and root mean square error, particularly in highly heterogeneous communities.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Geosciences, Multidisciplinary
Jerom P. M. Aerts, Rolf W. Hut, Nick C. van de Giesen, Niels Drost, Willem J. van Verseveld, Albrecht H. Weerts, Pieter Hazenberg
Summary: This study investigates the spatial scaling in distributed hydrological modelling and evaluates the streamflow estimates at different spatial resolutions. The results show that finer spatial resolution does not necessarily improve the accuracy of streamflow estimates. Although there are statistical differences among the three model instances, the conclusion is inconclusive due to high uncertainties in the sampling. The results also indicate significant differences between model instances, providing research directions for studying the changes in flux and state partitioning in hyper-resolution hydrological modelling.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Health Care Sciences & Services
Taeho Lee, Eun-Tae Jeon, Jin-Man Jung, Minsik Lee
Summary: The demand for smart healthcare systems that can easily screen and manage neurological diseases through videos is increasing, especially due to the aging population and lack of medical personnel. This study focuses on estimating the possibility of stroke using an AI system that analyzes videos and converts them into landmark data and recurrence plots, and then utilizes deep neural networks for classification. The proposed method shows potential in disease screening for stroke.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Ecology
S. Muhammad, M. Tayyab, N. Akram, S. M. Malik, U. F. Awan, Z. Khan, M. Hasnain, M. Zahid, K. Rasool, A. KhairDin
Summary: The dendrochronological potential of certain gymnosperms was determined by dividing a study site into 9 stands, successfully analyzing the growth rates and age-diameter relationships of Abies pindrow and Taxus baccata. Data from different stands indicated that Taxus baccata showed better correlation in the 3rd stand.
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Yanfei Li, Zhengang Wang, Jianlin Zhao, Yongming Lin, Guoping Tang, Zhen Tao, Quanzhou Gao, Aimin Chen
Summary: Soil erosion is a significant issue in China, with cultivated soils experiencing higher rates of soil loss compared to uncultivated soils. Factors such as slope gradient and slope length are positively correlated with soil loss rates. Discrepancies exist between soil loss rates derived from Cs-137 inventories and erosion plots due to their focus on different erosion processes and spatio-temporal scales.
Article
Biochemistry & Molecular Biology
Caleb Ki, Jonathan Terhorst
Summary: This paper introduces VBSKY, a method for fitting Bayesian phylodynamic models to large pathogen genetic datasets. By combining recent advances in modeling, inference, and programming, VBSKY can analyze thousands of genomes in minutes and provide accurate estimates of epidemiologically relevant quantities.
MOLECULAR BIOLOGY AND EVOLUTION
(2022)
Article
Geochemistry & Geophysics
Vrinda Anand, Nikhil Korhale, Abhilash S. S. Panicker, Gufran Beig, B. S. Murthy
Summary: The variability of PM2.5 concentrations in Pune Metropolitan Region (PMR), India, was analyzed from 2014 to 2018. PM2.5 concentrations showed an increasing trend in most locations, except for the green/background area. The industrial area of the city exhibited higher PM2.5 concentrations. Seasonally, winter had the highest concentration, and low wind speeds indicated local sources. Long-range transport also contributed to PM2.5 mass concentration. The wavelet power spectrum showed oscillations of 2-4 days and 30-50 days related to Madden-Julian oscillations.
PURE AND APPLIED GEOPHYSICS
(2023)
Article
Astronomy & Astrophysics
Federico Davila-Kurban, Ariel G. Sanchez, Marcelo Lares, Andres N. Ruiz
Summary: This study introduces the use of glass-like catalogues as an alternative to random catalogues for estimating the two-point correlation function in surveys. The glass-like catalogues show better performance in terms of bias and variance reduction, while also decreasing computational costs compared to random samples. Their use could be beneficial for future surveys in configuration-space clustering analysis.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Agricultural Economics & Policy
Kibrom A. Abay, Tesfamicheal Wossen, Jordan Chamberlin
Summary: Smallholder agriculture in sub-Saharan Africa suffers from technical inefficiency, but existing estimates may be biased due to measurement error. This study shows that non-classical measurement error introduces challenges and biases in estimating smallholders' technical inefficiency. Empirical analysis reveals a substantial upward bias in technical inefficiency estimates due to measurement error in agricultural data. These findings question the received wisdom on African smallholders' production efficiency and suggest the need for improved measurement of agricultural data.
JOURNAL OF AGRICULTURAL ECONOMICS
(2023)
