Article
Biology
Benjamin M. Peter
Summary: This article explores the relationship between principal component analysis (PCA) and F-statistics in studying human genetic variation. The author derives explicit connections between the two approaches and demonstrates that F-statistics can be interpreted geometrically in the context of PCA. The results show that PCA plots are effective at predicting F-statistics, providing a new perspective for understanding human genetic variation.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Automation & Control Systems
Yang Tao, Hongbo Shi, Bing Song, Shuai Tan
Summary: In this article, a distributed adaptive principal component regression algorithm is proposed for the online indicator monitoring of large-scale dynamic process. The algorithm constructs distributed data subblocks according to the process operation units and uses an adaptive resampling method to extract process local and global information simultaneously. The effectiveness of the proposed method is demonstrated through a numerical example and the Tennessee Eastman process.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Multidisciplinary Sciences
Hui Shan Wong, Md Zobaer Hasan, Omar Sharif, Azizur Rahman
Summary: Since November 2019, countries worldwide have experienced the devastating consequences of the Covid-19 pandemic. This research focused on the external demographic factors and their relation to the spread of Covid-19 in Malaysia. The study found a strong positive correlation between total population and Covid-19 cases, while a weak positive relationship was observed with population density. These findings highlight the importance of considering population size in intervention planning and managing future virus outbreaks in Malaysia.
Article
Engineering, Environmental
Huijuan Wang, Xinmiao Huang, Zexing Kuang, Xiaowei Zheng, Menglu Zhao, Jing Yang, Honghui Huang, Zhengqiu Fan
Summary: This study conducted source analysis and health risk assessment of PAHs in ten marine fish from coastal areas of Guangdong, China. The results showed that the pollution of PAHs in fish organisms was at a minimally polluted level and all fish had the ability to accumulate PAHs. Risk assessment indicated that the carcinogenic risk of PAHs was at a cautionary level, with urban children having the highest risk. Petroleum pollution, coal and biomass combustion, and marine transport emissions were identified as the main anthropogenic sources for PAHs in organisms, with marine transport emissions contributing to the highest carcinogenic risk. The acceptable daily intake for all populations was far below their actual daily intake, indicating no cautionary risk.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Agronomy
Mohamed Houssemeddine Sellami, Rossella Albrizio, Milica Colovic, Mohamad Hamze, Vito Cantore, Mladen Todorovic, Lea Piscitelli, Anna Maria Stellacci
Summary: This study evaluated the crop physiological parameters of sweet maize using hyperspectral reflectance data and found that the red-edge spectral region plays a crucial role in predicting yield and physiological parameters.
Article
Multidisciplinary Sciences
Hongmei Chen, Jibo Wu
Summary: This paper discusses a linear regression model with stochastic restrictions and proposes a new mixed Kibria-Lukman estimator that combines the mixed estimator and the Kibria-Lukman estimator. This new estimator is a general estimation method that includes OLS estimator, mixed estimator, and Kibria-Lukman estimator as special cases. Additionally, the advantages of the new estimator are discussed based on the MSEM criterion, and the theoretical results are illustrated through examples and simulation analysis.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Sathish Nagaraj, Uma Shankar Masilamani
Summary: This study was conducted in fluoride enrichment hard rock regions of Tamil Nadu in India to investigate the hydrogeochemical process and mechanism influencing groundwater chemistry and determine the groundwater quality using multivariate statistical analysis. The results show that the fluoride concentration in groundwater varies in different seasons and regions, and factors affecting fluoride concentration are identified.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Yu-Tang Wang, Zhao-Xia Yang, Zan-Hao Piao, Xiao-Juan Xu, Jun-Hong Yu, Ying-Hua Zhang
Summary: Using machine learning methods, this study aimed to predict the flavor and retention index (RI) of compounds in beer by collecting data on different flavor compounds and utilizing various models. The results showed that the models could accurately predict the flavor and RI values of specific compounds in beer.
Article
Engineering, Multidisciplinary
Mohammad Reza Mahmoudi, Mohammad Hossein Heydari, Sultan Noman Qasem, Amirhosein Mosavi, Shahab S. Band
Summary: This research examines the number of Covid-19 cases and deaths in France, Germany, Iran, Italy, Spain, United Kingdom, and United States, exploring the relationships between these countries and categorizing them based on the spread rate using Pearson's correlation and principal component analysis.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Review
Multidisciplinary Sciences
Lorentz Jantschi
Summary: The eigenproblem is a key tool to solve complex problems, particularly in the field of molecular geometry. This review paper provides an introduction to the basic concepts and algorithms of the eigenproblem and discusses its various applications.
Article
Engineering, Electrical & Electronic
Noorman Rinanto, Chung-Hsien Kuo
Summary: This study focused on the accuracy issues of using infrared forehead thermometers to measure body temperature, proposing an accurate temperature estimation regression method and testing it using a multimodality sensor system. The results showed that the newly proposed PCA-ANN temperature estimation model outperformed other models in terms of accuracy and performance, with lower error values and higher R values.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Construction & Building Technology
Roman Fojtik, Viktor Dubovsky, Lenka Kubincova, Katerina Stejskalova, Eva Machovcakova, Michal Lesnak
Summary: The demand for sustainability requires the use of renewable materials in construction. Applying transverse prestress in timber structures can increase stiffness and load-bearing capacity. However, the prestressing force and system rectification depend on the specific environmental conditions of the construction site. Climatic conditions significantly affect the size of the prestressing force. Experimental samples were used to introduce transverse prestress, and the prestressing force and climatic conditions were monitored and recorded. Mathematical models were created and evaluated using experimental data, allowing for the determination of changes in prestressing force over time based on climatic conditions. This function enables the manual adjustment of preload in structures when necessary for their intended purpose.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Environmental Sciences
Chinmoy Ranjan Das, Subhasish Das, Souvik Panda
Summary: Identifying groundwater contamination sources and monitoring groundwater quality conditions are crucial in coastal areas like Contai, India. This research utilizes advanced technologies such as principal component and factor analyses, groundwater quality index, and multiple linear regression to address these issues. The study identifies saline water, disintegration and leaching process, organic or biogenic activities, and lithogenic or non-lithogenic links as the main sources of groundwater contamination. A model consisting of turbidity, iron, electrical conductivity, manganese, total hardness, and chloride is proposed to predict groundwater quality, with turbidity being the key contributor to the entire groundwater class in the affected area.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Biophysics
Erik Brynskog, Johan Iraeus, P. Matthew Reed, Johan Davidsson
Summary: This study found that overall anthropometric variables can only explain 29% of the variance in pelvis geometry, with important shape variations not captured by these variables. This suggests that these unaccounted for shape variations could have significant implications for injury prediction in traffic safety analysis.
JOURNAL OF BIOMECHANICS
(2021)
Article
Environmental Sciences
Dong Xie, Xin Li, Tingting Zhou, Yuqing Feng
Summary: Water quality monitoring is crucial for postrestoration assessments and sustainable management strategies. This study monitored the water quality variables of three restored wetland parks in the littoral zone of Taihu Lake. Principal component analysis and multiple linear regression were used to estimate the sources of water pollution. The results showed that different cofferdam systems had varying impacts on water quality, with eco-layered cofferdams playing a positive role in eutrophication control and ecological restoration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Yongeun Park, Yakov Pachepsky, Eun-Mi Hong, Daniel Shelton, Cary Coppock
JOURNAL OF ENVIRONMENTAL QUALITY
(2017)
Article
Chemistry, Physical
Seo Jin Ki, Heon Lee, Young-Kwon Park, Sun-Jae Kim, Kay-Hyeok An, Sang-Chul Jung
APPLIED SURFACE SCIENCE
(2018)
Article
Environmental Sciences
Eun-Mi Hong, Yongeun Park, Richard Muirhead, Jaehak Jeong, Yakov A. Pachepsky
SCIENCE OF THE TOTAL ENVIRONMENT
(2018)
Article
Chemistry, Multidisciplinary
Heon Lee, Won-June Lee, Young-Kwon Park, Seo Jin Ki, Byung-Joo Kim, Sang-Chul Jung
Article
Energy & Fuels
Yong-Gu Lee, Yongeun Park, Gwanghee Lee, Yeongkwan Kim, Kangmin Chon
Article
Environmental Sciences
Seung Won Lee, Juwan Lee, Sung Min Cha
Article
Ecology
Seung Won Lee, Joon Ha Kim, Sung Min Cha
ECOLOGICAL ENGINEERING
(2020)
Article
Engineering, Electrical & Electronic
SungMin Suh, Yongeun Park, KyoungMin Ko, SeongMin Yang, Jaehyeong Ahn, Jae-Ki Shin, SungHwan Kim
Summary: The study introduces the weighted Mask R-CNN to effectively separate overlapped objects, which outperforms the standard Mask R-CNN with high precision and recall rates, especially in algae data and cell membrane data.
JOURNAL OF SENSORS
(2021)
Review
Environmental Sciences
Trang Thi Kieu Tran, Sayed M. Bateni, Seo Jin Ki, Hamidreza Vosoughifar
Summary: Neural network models are considered promising tools for forecasting air temperature, especially in short-term prediction. However, the best method for air temperature prediction has not been determined, and further research and improvements are still needed for neural network approaches.
Article
Green & Sustainable Science & Technology
Zhonghyun Kim, Taeyong Shim, Seo Jin Ki, Dongil Seo, Kwang-Guk An, Jinho Jung
Summary: This study evaluated classification algorithms to predict largemouth bass occurrence in South Korea and found that random forest was the best model. Annual mean temperature and fall mean temperature were the most important environmental variables.
Article
Environmental Sciences
Xinlei He, Tongren Xu, Sayed M. Bateni, Seo Jin Ki, Jingfeng Xiao, Shaomin Liu, Lisheng Song, Xiangping He
Summary: In this study, a variational data assimilation (VDA) system is used to merge land surface temperature (LST) and leaf area index (LAI) observations with a coupled two-source surface energy budget-vegetation dynamic model (TSEB-VDM) to predict turbulent heat fluxes and gross primary productivity (GPP). The VDA approach, evaluated at six AmeriFlux sites, shows good agreement between modeled and measured sensible (H) and latent (LE) heat fluxes, and GPP under different environmental conditions. Results suggest that the VDA method can effectively estimate H, LE, and GPP by utilizing implicit information in LST and LAI measurements.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Wonjin Jang, Yongeun Park, JongCheol Pyo, Sanghyun Park, Jinuk Kim, Jin Hwi Kim, Kyung Hwa Cho, Jae-Ki Shin, Seongjoon Kim
Summary: Understanding the concentration and distribution of cyanobacteria blooms is crucial for managing water quality and protecting aquatic ecosystems. This study applies airborne hyperspectral imagery and data-driven algorithms to effectively estimate the main pigments of cyanobacteria and evaluate their spatio-temporal distribution. The proposed algorithm shows promising results in detecting cyanobacteria occurrence and can contribute to suitable water quality management plans.
Article
Environmental Sciences
Jae-Ki Shin, Yongeun Park, Nan-Young Kim, Soon-Jin Hwang
Summary: This study investigated the relationship between harmful cyanobacterial blooms in upstream reservoir and geosmin explosion events in downstream reservoirs. It found that the explosion of geosmin in the downstream reservoirs could be attributed to the transport and release of geosmin through water discharge from hydroelectric power generation. Therefore, understanding the cascade structure of reservoirs is important for water quality management of drinking water sources.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Biochemistry & Molecular Biology
Seung Ji Lim, Seo Jin Ki, Jae-Lim Lim, Kyunghyuk Lee, Jihye Kim, Jeongwoo Moon, Joon Ha Kim
Summary: A numerical study was conducted to compare process performance based on pump type and process configuration. The results showed that the pump type and design configuration did not have a significant effect on process performance. The annual means of specific energy consumption for every design configuration were below 2 kWh/m(3), except for the worst-case scenario.
Article
Green & Sustainable Science & Technology
Heelak Choi, Sang-Ik Suh, Su-Hee Kim, Eun Jin Han, Seo Jin Ki
Summary: This study found that deep learning models outperformed the ARIMA model in univariate surface water quality forecasting, but the presence of other related factors in multivariate datasets impacted prediction accuracy, requiring a refined search for optimal values to achieve the best performance.
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)