Article
Engineering, Multidisciplinary
Sarmad Dashti Latif, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Ahmed El-Shafie
Summary: Developing accurate forecast for water losses and reservoir final storage using Artificial Neural Networks (ANN) models with radial basis function (RBF) can lead to better monitoring of water quality and more efficient reservoir operation, thus potentially reducing flash flood and water crisis problems in Malaysia.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Li Liu
Summary: The study compared the empirical model and ANN model for predicting VOCs removal efficiency in RPB, finding that the ANN model outperformed the empirical model in predicting outlet concentrations of VOCs. The effects of factors on removal efficiency were analyzed by ANN model with high precision, providing insights for timely adjustment of operation conditions to meet emission standards.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Kaylee Brook Tanner, Anna Catherine Cardall, Gustavious Paul Williams
Summary: This study analyzed the long-term trends in chlorophyll-a concentrations in the turbid Utah Lake using Landsat data. The results showed that there has been essentially no change in algal concentrations in the lake over the past 40 years, despite significant population growth, increased nutrient inflows, and land-use changes.
Article
Energy & Fuels
Shams Kalam, Usama Yousuf, Sidqi A. Abu-Khamsin, Umair Bin Waheed, Rizwan Ahmed Khan
Summary: Waterflooding is a secondary oil recovery technique that relies on injection of water into underground oil reservoirs. A novel artificial neural network (ANN) model has been proposed for predicting waterflood performance, outperforming other soft computing models in accuracy and computational efficiency. The ANN model offers a more efficient way to forecast waterflood performance compared to traditional reservoir simulators.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Energy & Fuels
Ronald Ssebadduka, Nam Nguyen Hai Le, Ronald Nguele, Olalekan Alade, Yuichi Sugai
Summary: In this study, the prediction of viscosity for a binary mixture of bitumen and light oil using a feedforward neural network was compared to empirical models such as RVDM, MVDM, and Al-Besharah. The results showed that the artificial neural network model performed better in terms of accuracy, based on experimental data obtained from rheological studies.
Article
Engineering, Environmental
Hongye Cao, Ling Han, Wei Li, Zhiheng Liu, Liangzhi Li
Summary: This paper focuses on the Yuqiao Reservoir and uses satellite remote sensing technology to study the temporal and spatial variations of TSM, developing a new empirical model to estimate TSM concentrations in the reservoir waters for the first time. Results show clear patterns in the spatial distribution of TSM and significant seasonal and monthly variations. The research findings can be applied to similar water bodies and contribute to the scientific management of safe operation in the study area.
WATER ENVIRONMENT RESEARCH
(2021)
Article
Energy & Fuels
Ahmed Alalimi, Ayman Mutahar AlRassas, Hung Vo Thanh, Mohammed A. A. Al-qaness, Lin Pan, Umar Ashraf, Dalal AL-Alimi, Safea Moharam
Summary: This study developed a novel workflow model to explore the potential CO2 storage capacity in the S3 reservoir of Tahe oilfield in China and proposed a viable solution for oil recovery. By using artificial neural network and modelling technique, researchers obtained a reasonable geological model and assessed the uncertainty of CO2 storage.
GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES
(2022)
Article
Environmental Sciences
Mengmeng Yang, Faisal Ahmed Khan, Hongzhen Tian, Qinping Liu
Summary: The study applies the DINEOF method to fill missing spatial data in satellite datasets for the Ariake Sea, demonstrating its accuracy and reliability. EOF analysis based on the reconstructed data reveals the spatial and temporal variability of Chl-a and TSM at different scales, highlighting seasonal variability driven by factors like precipitation and sea level amplitude.
Article
Chemistry, Medicinal
Linying Li, Chanhwa Lee, Daniela F. Cruz, Sai Archana Krovi, Michael G. Hudgens, Mackenzie L. Cottrell, Leah M. Johnson
Summary: Controlled drug delivery systems have the potential to provide sustained release, improved pharmacokinetics, and increased patient adherence. A mathematical model has been proposed to accurately predict drug release behavior from implants, facilitating rational design and optimization. The model was validated by successfully predicting empirical parameters and release performance for various drug formulations.
Review
Multidisciplinary Sciences
Faisal Nawab, Ag Sufiyan Abd Hamid, Adnan Ibrahim, Kamaruzzaman Sopian, Ahmad Fazlizan, Mohd Faizal Fauzan
Summary: Solar irradiation data is crucial for solar energy projects, but physical measurement is not possible for all locations. Artificial intelligence methods have been shown to be more accurate in predicting solar irradiation, particularly modified sunshine-based models.
Article
Remote Sensing
Qingyuan Zhang
Summary: This study investigated the seasonal snow cover of the Howland boreal forest ecosystem in Maine, USA using MODIS images, which revealed the variations in vegetation cover fraction, absorption of photosynthetically active radiation, and related parameters throughout different seasons.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Physics, Multidisciplinary
Tongguang Yang, Shubiao Zhao, Junan Zhang, Qingkai Han, Xuejun Li
Summary: With the development of power semiconductor devices, pulse width modulation technology is widely used in high-power frequency conversion control motors to improve dynamic performance. However, the generation of high-frequency shaft voltage during the drive process can lead to bearing damage and premature failure. This study proposes the use of an insulating ceramic coating and a self-attention mechanism to optimize a time information fusion model for intelligent identification of insulated bearing faults, improving diagnostic accuracy.
Article
Hematology
Harsh Shah, Hyejeong Jang, Seongho Kim, Ahmad S. Halwani
Summary: This study analyzed the outcomes of classical Hodgkin lymphoma patients aged 60 and above, comparing two cohorts diagnosed between 2006-2010 and 2011-2015. The results showed that the median overall survival of the second cohort was 4.75 years, slightly higher than the first cohort. Non-Hispanic blacks had similar 5-year survival compared to non-Hispanic whites, while Hispanics had worse survival. Non-Hispanic whites showed improvement in 5-year survival in the second cohort. Various factors including age, gender, stage, marital status, race, chemotherapy, and diagnosis period were associated with worse overall survival. Lymphoma was the most common cause of death in 60% of patients.
BRITISH JOURNAL OF HAEMATOLOGY
(2023)
Article
Environmental Sciences
Marta Basso, Marcos Mateus, Tiago B. Ramos, Diana C. S. Vieira
Summary: Wildfires in the Mediterranean region pose an increasing threat, impacting vegetation, soil, and surface water quality, threatening human health. A study in Portugal's Lisbon metropolitan area showed post-fire degradation of surface water in the reservoir, with simulation results indicating water quality deterioration near the dam wall, yet not exceeding water quality standards likely due to reservoir capacity to attenuate inflow concentrations.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Markus Reisenbuechler, Minh Duc Bui, Peter Rutschmann
Summary: Reservoir sedimentation is a global issue affecting storage capacity and efficiency, with drawdown flushing as a management tool that should be optimized for effectiveness. This study proposes an innovative predictive model based on artificial neural networks for sediment volume removal, with potential applications as a decision-support system for hydropower operators in real-world scenarios.
Article
Astronomy & Astrophysics
K. M. Robertson, R. E. Milliken, S. Li
Article
Geochemistry & Geophysics
Shuai Li, Ralph E. Milliken
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2016)
Article
Oceanography
Yingcheng Lu, Linhai Li, Chuanmin Hu, Lin Li, Minwei Zhang, Shaojie Sun, Chunguang Lv
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2016)
Article
Geosciences, Multidisciplinary
Ralph E. Milliken, Shuai Li
Article
Multidisciplinary Sciences
Shuai Li, Ralph E. Milliken
Article
Oceanography
Hubert Loisel, Dariusz Stramski, David Dessailly, Cedric Jamet, Linhai Li, Rick A. Reynolds
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2018)
Article
Environmental Sciences
Song Kaishan, Li Lin, Lenore Tedesco, Nicolas Clercin, Li Linhai, Shi Kun
CHINESE GEOGRAPHICAL SCIENCE
(2015)
Article
Multidisciplinary Sciences
Shuai Li, Paul G. Lucey, Ralph E. Milliken, Paul O. Hayne, Elizabeth Fisher, Jean-Pierre Williams, Dana M. Hurley, Richard C. Elphic
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2018)
Article
Geochemistry & Geophysics
Yazhou Yang, Shuai Li, Ralph E. Milliken, Hao Zhang, Kevin Robertson, Takahiro Hiroi
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2019)
Article
Geochemistry & Geophysics
C. Honniball, P. G. Lucey, C. M. Ferrari-Wong, A. Flom, S. Li, H. M. Kaluna, D. Takir
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2020)
Article
Multidisciplinary Sciences
Shuai Li, Paul G. Luceyl, Abigail A. Fraeman, Andrew R. Poppe, Vivian Z. Sung, Dana M. Hurley, Peter H. Schultz
Review
Astronomy & Astrophysics
Norbert Schoerghofer, Mehdi Benna, Alexey A. Berezhnoy, Benjamin Greenhagen, Brant M. Jones, Shuai Li, Thomas M. Orlando, Parvathy Prem, Orenthal J. Tucker, Christian Woehler
Summary: Water ice is abundant in the outer solar system but volatile in the inner solar system. Inner solar system bodies like Mercury, the Moon, and Ceres have water ice deposits in various forms, with permanently shadowed regions acting as cold traps. The surface of the Moon releases OH or H2O during meteoroid showers, while dwarf planet Ceres has enough gravity to maintain a gravitationally-bound water exosphere.
SPACE SCIENCE REVIEWS
(2021)
Article
Multidisciplinary Sciences
Honglei Lin, Shuai Li, Rui Xu, Yang Liu, Xing Wu, Wei Yang, Yong Wei, Yangting Lin, Zhiping He, Hejiu Hui, Huaiyu He, Sen Hu, Chi Zhang, Chunlai Li, Gang Lv, Liyin Yuan, Yongliao Zou, Chi Wang
Summary: Analysis of reflectance spectra from the Chang'E-5 lander reveals that lunar regolith samples from the Northern Oceanus Procellarum contain up to 120 ppm of water, mostly attributed to solar wind implantation. A light-colored rock named CE5-Rock near the lander exhibits stronger absorption and potentially contains around 180 ppm of water, suggesting an additional water source from the lunar interior. The low water content of the regolith may indicate degassing of the mantle reservoir beneath the Chang'E-5 landing site.
Article
Geochemistry & Geophysics
D. P. Moriarty III, S. B. Simon, C. K. Shearer, S. E. Haggerty, N. Petro, Shuai Li
Summary: Spinels are important for understanding the geology of the lunar crust and mantle. Previous studies have focused on rare pure Mg-Al spinels, but our approach allows for the detection of spinels with a wider range of compositions, including within mafic-bearing assemblages. By integrating data from the Moon Mineralogy Mapper with laboratory measurements and petrographic observations, we validated this approach and identified small abundances of spinel in the Crisium region.
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2023)
Article
Optics
Linhai Li, Dariusz Stramski, Rick A. Reynolds