Article
Green & Sustainable Science & Technology
Arvind Chandra Pandey, Tirthankar Ghosh, Bikash Ranjan Parida, Chandra Shekhar Dwivedi, Reet Kamal Tiwari
Summary: The Indian Himalayan region has been experiencing frequent hazards and disasters associated with permafrost. However, there has been little or no research on permafrost in this region. It is important to have knowledge about the spatial distribution and state of permafrost in the Indian Himalayas. This study used modern remote sensing techniques and a geographic information system (GIS) to assess permafrost in the Alaknanda Valley of the Chamoli district in Uttarakhand state. The results showed that a logistic regression model based on mean annual air temperature produced the most accurate predictions of permafrost distribution.
Article
Computer Science, Interdisciplinary Applications
Shangmin Zhao, Weiming Cheng, Yecheng Yuan, Zemeng Fan, Jin Zhang, Chenghu Zhou
Summary: This paper aims to simulate and predict global permafrost distribution, and analyze its change under different climate scenarios. The research found that the area of degraded permafrost is the largest under RCP85 scenarios, mainly distributed in East Asia, West Asia, North Europe and North America.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Geography, Physical
Seamus Daly, Philip P. Bonnaventure, Will Kochtitzky
Summary: Access to permafrost distribution maps is limited for remote communities in the discontinuous permafrost zone. This study presents a time- and cost-efficient method for conducting community-scale permafrost mapping using binary logistic regression and various variables. Vegetation is found to be the strongest predictor of near-surface permafrost.
PERMAFROST AND PERIGLACIAL PROCESSES
(2022)
Article
Ecology
Frederik Priem, Frank Canters
Summary: A Quantitative State Cellular Automata model (QCA) is proposed to simulate quantitative change in urban land cover, successfully emulating spatial patterns of urban development. By considering real-valued quantitative cell states and two components of change, the model addresses the issue of simulating urban processes with discrete land-use classes. It significantly outperforms a random model in terms of quantitative and spatial distribution of change, and further improvements can be made by integrating socio-economic information.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Geosciences, Multidisciplinary
Alvaro Egana, Felipe Navarro, Mohammad Maleki, Francisca Grandon, Francisco Carter, Fabian Soto
Summary: This framework introduces a method for building ensemble spatial interpolation functions by combining weak interpolation functions to produce robust ones. Experiments demonstrate its promising ability to handle large datasets and deal with uncertainty quantifications.
NATURAL RESOURCES RESEARCH
(2021)
Article
Multidisciplinary Sciences
Walid Abdullah Al Bargi, Basil David Daniel, Nasradeen A. Khalifa, Munzilah Md Rohani, Qinaat Hussain, Rafidah Binti Hamdan
Summary: A zebra crossing is a safety measure to reduce conflicts and accidents between pedestrians and motorists. Previous studies have not shown changes in pedestrian's utilization rate of zebra crossing. This study uses regression models to analyze factors influencing utilization rate and finds that guardrail, number of lanes, and width of zebra crossing are the most influential variables.
Article
Engineering, Civil
Bartosz Szelag, Przemyslaw Kowal, Adam Kiczko, Anita Bialek, Grzegorz Walek, Dariusz Majerek, Piotr Siwicki, Francesco Fatone, Grzegorz Boczkaj
Summary: The layout of sewage networks greatly affects the flood volume, which can only be determined by mechanistic models such as SWMM. A comprehensive tool was proposed in this study, including a flooding volume simulator based on rainfall data, catchment and sewage network characteristics, and sewer layout expressed by fractal dimension. A likelihood function simulator was developed using the random forest method to analyze interactions and select optimal combinations of SWMM model parameters for calibration. The results showed that higher fractal dimension and retention coefficient result in greater influence of SWMM parameters on the specific flood volume.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Geological
Badal Pokharel, Omar F. Althuwaynee, Ali Aydda, Sang-Wan Kim, Samsung Lim, Hyuck-Jin Park
Summary: This study compared common random selection method and alternative sampling strategies based on clustering distribution concepts, finding that the latter was more efficient and accurate, especially the EM/GMM model performed the best, expanding the research methods of landslide susceptibility model.
Article
Environmental Sciences
Guangyue Liu, Lin Zhao, Changwei Xie, Defu Zou, Tonghua Wu, Erji Du, Lingxiao Wang, Yu Sheng, Yonghua Zhao, Yao Xiao, Chong Wang, Yiwei Wang
Summary: The distribution of permafrost is crucial for studying climate, ecology, hydrology, and infrastructure construction in high-cold mountain regions. This study proposes a new method using ground-penetrating radar to detect frozen ground and extract the boundaries of permafrost patches in mountain areas. The results are compared with field survey data and existing distribution maps, showing high consistency. The study reveals the influence of aspect on permafrost distribution in mountain areas.
Article
Medicine, General & Internal
Binila Chacko, Lovely Thomas, Roshni Sharma, Bijesh Yadav, Lakshmanan Jeyaseelan, Ashwin O. Arul, Punitha Victor, Vignesh K. Chandiraseharan, Audrin Lenin, Ronald A. B. Carey, Jonathan A. J. Jayakaran, Rajiv K. Krishnaswami, John Victor Peter
Summary: The study investigated the role of noninvasive ventilation in SARS-CoV2 related acute respiratory failure, finding that NIV success rate was 63.6% and factors associated with failure included lower admission PaO2 to FiO2 ratio and higher respiratory rate.
MAYO CLINIC PROCEEDINGS
(2022)
Article
Ophthalmology
Imen Ksiaa, Sana Khochtali, Mossaab Mefteh, Mane Ben Fredj, Hajer Ben Amor, Nesrine Abroug, Moncef Khairallah
Summary: This study identified three OCT features, including retinal hyper-reflective round deposits, sub-lesional choroidal thickening, and sub-lesional retinal pigment epithelium elevation, which were more likely to occur in patients with ocular toxoplasmosis (OT) compared to non-OT patients, as shown by swept-source optical coherence tomography (SS-OCT) evaluations.
Article
Biochemistry & Molecular Biology
Farzaneh Mohammadi, Hamidreza Pourzamani, Hossein Karimi, Maryam Mohammadi, Mohammad Mohammadi, Nahid Ardalan, Roya Khoshravesh, Hassan Pooresmaeil, Samaneh Shahabi, Mostafa Sabahi, Fatemeh Sadat Miryonesi, Marzieh Najafi, Zeynab Yavari, Farideh Mohammadi, Hakimeh Teiri, Mahsa Jannati
Summary: In this research, a comparative study was conducted on COVID-19 patients in 6 provinces of Iran, revealing similar prevalent symptoms and underlying diseases but significant differences in symptom incidence among patients. Furthermore, the ANN and LR models demonstrated high accuracy in diagnosing COVID-19 infection.
BIOMEDICAL JOURNAL
(2021)
Article
Medicine, General & Internal
William J. Hulme, Elizabeth Williamson, Elsie M. F. Horne, Amelia Green, Helen I. I. McDonald, Alex J. J. Walker, Helen J. J. Curtis, Caroline E. Morton, Brian MacKenna, Richard Croker, Amir Mehrkar, Seb Bacon, David Evans, Peter Inglesby, Simon Davy, Krishnan Bhaskaran, Anna Schultze, Christopher T. Rentsch, Laurie Tomlinson, Ian J. Douglas, Stephen J. W. Evans, Liam Smeeth, Tom Palmer, Ben Goldacre, Miguel A. Hernan, Jonathan A. C. Sterne
Summary: The COVID-19 vaccines were developed and evaluated through randomized trials, but important questions remain unanswered. Observational studies and target trial emulation can provide valuable insights, although potential biases need to be managed. This article presents two approaches to emulate target trials using observational data.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Soil Science
Yujie Wei, Xinliang Wu, Junguang Wang, Hongliang Yu, Jinwen Xia, Yusong Deng, Yong Zhang, Yu Xiang, Chongfa Cai, Zhonglu Guo
Summary: The study identified the main driving forces for Benggang susceptibility in Fujian province, which were rainfall erosivity, soil moisture, and NDVI. The random forest method showed excellent performance in regional Benggang susceptibility assessment, with potential for application in similar erosion regions.
SOIL & TILLAGE RESEARCH
(2021)
Review
Environmental Sciences
Prashant Baral, Simon Allen, Jakob F. Steiner, Tika R. Gurung, Graham Mcdowell
Summary: Changing climatic conditions in High Mountain Asia have notable effects on mountain permafrost, especially in the Qinghai-Tibetan Plateau. The extent and characteristics of permafrost in the Hindu Kush Himalaya are limited. Studies reveal a warming trend, resulting in increased landslide activity, effects on streamflow, soil saturation, and vegetation change. Adaptation strategies are mainly documented in infrastructure projects and animal herding in China. Further research is needed on hazards related to changing permafrost and its impact on ecosystems and livelihoods.
ENVIRONMENTAL RESEARCH LETTERS
(2023)