Article
Green & Sustainable Science & Technology
Mohamed A. E. AbdelRahman, Yasser M. Zakarya, Mohamed M. Metwaly, Georgios Koubouris
Summary: Detailed knowledge of soil properties is crucial for optimizing agricultural practices. Different geostatistical methods were used to study the spatial variability of soil properties in a reclaimed area of Egypt, showing that Inverse Distance Weighting (IDW) was more efficient than Kriging for mapping soil properties.
Article
Engineering, Multidisciplinary
Kit Fai Fung, Kim Soon Chew, Yuk Feng Huang, Ali Najah Ahmed, Fang Yenn Teo, Jing Lin Ng, Ahmed Elshafie
Summary: This study evaluated spatial interpolation methods for rainfall pattern changes in the Peninsular Malaysia, with results indicating that Multi-scale Geographical Weighted Regression (MGWR) was the best performing model. The research showed that the rainfall intensity in Peninsular Malaysia is gradually increasing due to climate change and is vulnerable to El Nino/La Nina events.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Biotechnology & Applied Microbiology
Eunju Kim, Sook-Hyun Nam, Chang Hyuk Ahn, Saeromi Lee, Jae-Wuk Koo, Tae-Mun Hwang
Summary: This study aimed to comparatively evaluate interpolation methods for estimating chlorophyll-a concentrations in spatial distribution maps using an unmanned surface vehicle (USV). The study found that the inverse distance weighted (IDW) method was the optimal interpolation method, and the chlorophyll-a concentrations were manually classified based on Korean lake water-quality standards. The chlorophyll-a concentrations determined using the USV were successfully represented in the spatial distribution map.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Computer Science, Information Systems
Seungwoog Jung, Seungwan Han, Hoon Choi
Summary: Comprehensive and accurate assessment of indoor air quality (IAQ) is crucial for IAQ management, especially in large spaces. We propose a spatial interpolation technique that groups points with similar characteristics and utilizes these groups for accurate prediction. Experimental results demonstrate the superiority of our method in comparison to existing approaches.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Environmental Studies
Amalia Vaneska Palacio Buendia, Yolanda Perez-Albert, David Serrano Gine
Summary: This study proposes a methodology for generalizing cognitive landscape opinions using geographic information techniques. The assessment conducted in the Ebro Delta in Spain resulted in a continuous geographic map depicting positive and negative perceptions about the landscape. The method successfully mapped cognitive landscape opinions and establishes a novel procedure in landscape approaches.
Article
Water Resources
Syeda Urooj Fatima, Moazzam Ali Khan, Aamir Alamgir, Nadeem Mahmood, Nasir Sulman
Summary: This study evaluated the physico-chemical, metals, and microbial characteristics of surface water in Chu Tran valley, Pakistan. The results showed that the water samples had excellent physico-chemical characteristics but higher metal concentrations than recommended. Multivariate analysis revealed that metals and microbial concentrations significantly influenced water quality. Spatial distribution analysis indicated that central water samples in the valley were highly contaminated. The study highlighted the importance of assessing water quality using a combination of methods and recommended further exploration of pollution sources.
APPLIED WATER SCIENCE
(2022)
Article
Environmental Sciences
Pradip Debnath, Stabak Roy, Satarupa Bharadwaj, Samrat Hore, Harjeet Nath, Saptarshi Mitra, Ana-Maria Ciobotaru
Summary: This study examines the water quality of Rudrasagar Lake using multivariable statistical and geospatial techniques. The results reveal significant spatial variation and provide valuable insights for future water management strategies.
Article
Agronomy
David Borrego-Alonso, Antonio M. Martinez-Grana, Begona Quintana, Juan Carlos Lozano
Summary: According to the European Council Directive 51/2013 EURATOM, the radionuclide content in human consumption waters must comply with the stated recommendations to ensure public health protection. A study conducted in the Castilla y Leon region of Spain found spatial variations in the radioactivity content in the Duero basin, mainly influenced by geological formations and hydraulic characteristics. Prediction maps can serve as valuable tools for better planning and managing groundwater monitoring programs.
Article
Environmental Sciences
Mohamed F. Yassin, Ameenah M. Al-Jazzaf, Musaed Shalash
Summary: The study utilized GIS techniques to analyze the sources and spatial-temporal distribution of O-3 in Kuwait, finding that concentrations of O-3 and NO2 were below the regional and international limits, with highest O-3 levels observed in summer and spring seasons and a strong correlation between O-3 pollutants and meteorological parameters.
AIR QUALITY ATMOSPHERE AND HEALTH
(2021)
Article
Energy & Fuels
Yeji Lee, Doosung Choi, Yongho Jung, Myeongjin Ko
Summary: This study proposes a photovoltaic power prediction method based on inverse distance weighting interpolation (IDW) to improve prediction accuracy in locations without data. Experimental results show that using IDW predicted data is up to 1.4 times more accurate than using ASOS data.
Article
Environmental Sciences
Micah Lourdes Felix, Kwansue Jung
Summary: This study aims to improve daily streamflow simulation with SWAT by improving the spatial variation in precipitation data. Different interpolation methods are evaluated to select the best representation of precipitation at Yongdam watershed. The results show that the selection of interpolation method depends on the long-term climatological conditions of the watershed, and no universal method accurately represents the long-term spatial variation of precipitation.
Article
Water Resources
Kiyoumars Roushangar, Mohsen Moghaddas, Roghayeh Ghasempour, Farhad Alizadeh
Summary: The study investigated the monthly precipitation characteristics of 30 stations in the southeastern United States from 1968 to 2018 using MODWT and K-means clustering. It was found that stations with higher energy clusters had lower precipitation, while stations with lower energy clusters had higher precipitation, with the proposed clustering method showing better results.
HYDROLOGY RESEARCH
(2021)
Article
Engineering, Environmental
Christophe Nguyen, Agathe Roucou, Guenole Grignon, Jean-Yves Cornu, Benoit Meleard
Summary: The study aimed to predict whether the durum wheat grain Cd content will conform with regulatory thresholds using soil variables and cultivar types. The models showed excellent performance in detecting non-conformity cases and predicting Cd content variability among different cultivars, especially in relation to the phytoavailability of Cd in soil. Farmers can use these models to determine if durum wheat production meets current and future Cd regulations.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Meteorology & Atmospheric Sciences
Elina Efstathiou, Tor Eldevik, Marius arthun, Sigrid Lind
Summary: The study explores the spatial structure of Barents Sea ice change over the past 40 years, finding that the dominant mode of winter sea ice concentration variability is related to areal change. This mode is influenced by the temperate Atlantic inflow and sea ice import, and is also affected by anomalous wind and sea ice area import. Basic predictability is mainly associated with the areal-change mode, influenced by the temperature of the Atlantic inflow and sea ice import from the Arctic.
JOURNAL OF CLIMATE
(2022)
Article
Chemistry, Multidisciplinary
Tommaso Caloiero, Gaetano Pellicone, Giuseppe Modica, Ilaria Guagliardi
Summary: This study compared different spatial interpolation algorithms for rainfall data in New Zealand, showing that kriging was the most effective method for spatial interpolation, outperforming inverse distance weighting. Based on RMSE values, kriging with external drift performed best in April, while ordinary cokriging was the most accurate interpolator for the other 11 months. Results indicated that ordinary cokriging was identified as the best method for interpolating rainfall distribution in New Zealand for almost all months.
APPLIED SCIENCES-BASEL
(2021)
Article
Psychology, Multidisciplinary
WenWu Wang, Ping Yu, Yuejin Zhou, Tiejun Tong, Zhonghua Liu
Summary: In this paper, the authors focused on the mediation test based on the indirect effect in social and behavioral sciences. They examined the difference method and the product method in mediation models and demonstrated their equivalence in various scenarios. The authors also provided insights on the empirical distributions of indirect effect estimators and introduced popular R packages for mediation analysis.
CURRENT PSYCHOLOGY
(2023)
Article
Immunology
Xiaofang Lu, Yong Wang, Ying Ma, Dong Huang, Yuying Lu, Xiang Liu, Ruijia Zhou, Ping Yu, Lei Zhang, Jianlin Chen, Rong Lu, Fuyan Wang
Summary: This study reveals the involvement of MDSCs in the immune escape mechanism of C. trachomatis mediated by YAP1. The proportion of MDSCs increases, while the proportion of CD4+T and CD8+T cells decreases after C. trachomatis infection. The upregulation of Arg-1 and iNOS in MDSCs, as well as YAP1 in host cells, is observed. Inhibition of YAP1 leads to the inhibition of C. trachomatis growth.
IMMUNOLOGY LETTERS
(2022)
Article
Engineering, Multidisciplinary
Jie Cao, Jialin Ma, Dailin Huang, Ping Yu
Summary: In this paper, a neural architecture search network algorithm called NAS-PERIRB is proposed to simplify the design of deep learning network structures, with the use of Pareto efficiency reward and insert replay buffer. The algorithm improves training efficiency by employing early stopping and insert replay buffer techniques. Evaluation on two datasets demonstrates that the NAS-PERIRB achieves 99% accuracy in various situations, indicating its capability in independently designing network structures.
Article
Geriatrics & Gerontology
Jiaying Zheng, Ping Yu, Xueping Chen
Summary: Active game play can significantly improve the quality of life and alleviate depression in older people with dementia, but has no significant effect on cognitive status.
CLINICAL GERONTOLOGIST
(2022)
Article
Geriatrics & Gerontology
Yunshu Zhu, Ting Song, Zhenyu Zhang, Chao Deng, Mohammad Alkhalaf, Wanqing Li, Mengyang Yin, Hui Chen (Rita) Chang, Ping Yu
Summary: This study used artificial intelligence technologies to analyze the prevalence of agitated behaviors in people with dementia in residential aged care facilities in Australia. A total of 59 observable agitated behaviors were found. No significant differences were found in agitation prevalence between genders or facility types. Multiple coexisting agitated behaviors were found in a high percentage of dementia patients, indicating a heavy caregiver burden in these facilities. Improving caregiver training and care models are urgently needed for the sustainability of dementia care in residential aged care facilities.
JOURNAL OF GERONTOLOGICAL NURSING
(2022)
Article
Integrative & Complementary Medicine
Yuangeng Li, Ping Yu, Wenwen Fu, Shuo Wang, Wenjun Zhao, Yue Ma, Yi Wu, Heming Cui, Xiaofeng Yu, Li Fu, Huali Xu, Dayun Sui
Summary: Ginsenoside Rd protects against carbon tetrachloride-induced acute liver injury by inhibiting ferroptosis and activating the cGAS/STING pathway.
AMERICAN JOURNAL OF CHINESE MEDICINE
(2023)
Article
Management
Haiyan Yu, Ching-Chi Yang, Ping Yu
Summary: Diabetic patients require personalized treatments, and stratifying patients into sub-classes can help determine the optimal treatment for each group. However, challenges arise in conducting counterfactual inference and dealing with confounding effects of covariates. To address these challenges, a method called COSTAR is proposed, which uses constrained optimization to find the optimal treatment considering missing outcomes and covariate balance constraints. Experimental results with real-world data show that COSTAR outperforms related methods in reducing hospital readmission rates within 30 days and provides robust estimation of mean treatment response in each sub-class.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Psychology, Multidisciplinary
Yiqin Hu, Xinbo Lu, Wanjun Zheng, Luting Wang, Ping Yu
Summary: In daily decision-making, the human brain is modulated by the prefrontal cortex (PFC), particularly the dorsolateral prefrontal cortex (DLPFC), in risk and ambiguity decision-making. Through the use of transcranial direct current stimulation (tDCS), researchers revealed the causal relationship between the DLPFC and ambiguity decision-making. The study showed that the left DLPFC stimulation had a significant effect on ambiguity to loss, while its effect on ambiguity to gain was insignificant, and the right DLPFC stimulation had an insignificant effect on both ambiguity to gain and ambiguity to loss. Furthermore, participants who received anodal stimulation in the left DLPFC showed a lower degree of attitudes toward ambiguity loss, suggesting a strong aversion to ambiguity loss after the stimulation.
FRONTIERS IN PSYCHOLOGY
(2023)
Review
Psychology, Multidisciplinary
Yue Xie, Yue Ren, Changmin Niu, Ying Zheng, Ping Yu, Lin Li
Summary: Approximately 53.08% to 64% of female infertility patients worldwide are affected by the stigma of not giving birth to children. This stigma not only harms the mental health of these patients, but also affects their quality of life, leading to adverse social consequences such as domestic violence, marriage breakdown, and delay in receiving treatment. Therefore, it is crucial to understand the stigma experienced by these patients and develop effective interventions to alleviate it.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Engineering, Mechanical
Xianjun Du, Wenchao Jia, Ping Yu, Yaoke Shi, Bin Gong
Summary: In order to address the issues of insufficient feature extraction and loss of key features in the process of traditional convolutional neural network (CNN) based remaining life prediction of bearings, a CNN prediction model based on global attention mechanism (GAM) is proposed to accurately predict the remaining useful life (RUL) of bearings.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Plant Sciences
Eme Eseme John, Thomas Astell-Burt, Ping Yu, Chris Brennan-Horley, Xiaoqi Feng
Summary: This study investigates the association between different types of green spaces and a person's healthy aging score (HAS) through two years of continuous exposure. The findings suggest that for women who did not relocate, their functional capacity is lower but resilience is higher compared to those who relocated. For participants who did not relocate, 30% grass cover is associated with decreased functional capacity and HAS, while 5-9% low-lying vegetation is associated with a decline in functional capacity and HAS but improved resilience. Green spaces with over 30% tree canopy appear to be most beneficial for functional capacity, resilience, and HAS.
URBAN FORESTRY & URBAN GREENING
(2023)
Article
Health Care Sciences & Services
Mohammad Alkhalaf, Zhenyu Zhang, Hui-Chen (Rita) Chang, Wenxi Wei, Mengyang Yin, Chao Deng, Ping Yu
Summary: This study explores the risk factors for malnutrition among older people in residential aged care facilities using natural language processing (NLP) techniques. The research demonstrates the importance of NLP technology in uncovering key information about health risks for older people. It identifies that 33% of older people suffer from malnutrition and suggests that NLP can be applied to predict other health risks in this setting.
TECHNOLOGY AND HEALTH CARE
(2023)
Article
Emergency Medicine
Belinda Munroe, Kate Curtis, Margaret Fry, Sharyn Balzer, Panchalee Perara, Tracey Couttie, Karlie Royston, Ping Yu, Natasha Tidswell, Julie Considine
Summary: This study aims to evaluate the impact of implementing the Emergency Department Clinical Emergency Response System (EDCERS) on inpatient deterioration events and identify causal factors. The results demonstrate that EDCERS implementation reduces the number of inpatient deterioration events within 72 hours of emergency admission. However, there is no overall change in the rate of inpatient deterioration events. Therefore, this study supports the wider implementation of rapid response systems in the emergency department to improve the management and outcomes of deteriorating patients.
AUSTRALASIAN EMERGENCY CARE
(2023)
Article
Health Policy & Services
Eme Eseme John, Thomas Astell-Burt, Ping Yu, Chris Brennan-Horley, Xiaoqi Feng
Summary: This paper examines the factors influencing healthy ageing and constructs a healthy ageing score. Eight of the 13 health domains, including physical functioning, cognitive function, mental health, etc., were found to be crucial for ageing well. The developed healthy ageing score ranges from 0 to 16, with higher scores indicating a healthier ageing profile.
HEALTH PROMOTION INTERNATIONAL
(2023)
Review
Health Care Sciences & Services
Ping Yu, Hua Xu, Xia Hu, Chao Deng
Summary: Generative artificial intelligence and large language models have the potential to revolutionize data and information management in healthcare. This study provides guidance on integrating these technologies into medical practices, highlighting their distinct mechanisms and the opportunities and challenges they present. Continued innovation and adherence to ethical and legal guidelines are crucial for realizing the full potential of these technologies.
