Duc-Dam Nguyen¹, Nguyen Viet Tiep^2,*, Quynh-Anh Thi Bui¹, Hiep Van Le¹, Indra Prakash³, Romulus Costache^4,5,6,7, Manish Pandey^8,9, Binh Thai Pham¹

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 467-500, 2025, DOI:10.32604/cmes.2024.056576 - 17 December 2024

Abstract This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand, India, using advanced ensemble models that combined Radial Basis Function Networks (RBFN) with three ensemble learning techniques: DAGGING (DG), MULTIBOOST (MB), and ADABOOST (AB). This combination resulted in three distinct ensemble models: DG-RBFN, MB-RBFN, and AB-RBFN. Additionally, a traditional weighted method, Information Value (IV), and a benchmark machine learning (ML) model, Multilayer Perceptron Neural Network (MLP), were employed for comparison and validation. The models were developed using ten landslide conditioning factors, which included slope, aspect, elevation, curvature, land cover, geomorphology,… More >

Maan Habib^1,*, Ahed Habib², Mohammad Abboud³

Revue Internationale de Géomatique, Vol.33, pp. 247-271, 2024, DOI:10.32604/rig.2024.053857 - 07 August 2024

Abstract Digital elevation models (DEMs) are essential tools in environmental science, particularly for hazard assessments and landscape analyses. However, their application across multiple environmental hazards simultaneously remains in need for a multi-aspect critical assessment to promote their effectiveness in comprehensive risk management. This paper aims to review and critically assess the application of DEMs in mapping and managing specific environmental hazards, namely floods, landslides, and coastal erosion. In this regard, it seeks to promote their utility of hazard maps as key tools in disaster risk reduction and environmental planning by employing high-resolution DEMs integrated with advanced More >

G. Bhargavi^*, J. Arunnehru

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1257-1272, 2023, DOI:10.32604/iasc.2023.034335 - 05 January 2023

Abstract Landslides are a natural hazard that is unpredictable, but we can prevent them. The Landslide Susceptibility Index reduces the uncertainty of living with landslides significantly. Planning and managing landslide-prone areas is critical. Using the most optimistic deep neural network techniques, the proposed work classifies and analyses the severity of the landslide. The selected experimental study area is Kerala’s Idukki district. A total of 3363 points were considered for this experiment using historic landslide points, field surveys, and literature searches. The primary triggering factors slope degree, slope aspect, elevation (altitude), normalized difference vegetation index (NDVI), and… More >

Huong Thi Thanh Ngo¹, Nguyen Duc Dam¹, Quynh-Anh Thi Bui¹, Nadhir Al-Ansari^2,*, Romulus Costache^3,4,*, Hang Ha⁵, Quynh Duy Bui⁵, Sy Hung Mai⁶, Indra Prakash⁷, Binh Thai Pham¹

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2219-2241, 2023, DOI:10.32604/cmes.2023.022566 - 23 November 2022

Abstract Flash floods are one of the most dangerous natural disasters, especially in hilly terrain, causing loss of life, property, and infrastructures and sudden disruption of traffic. These types of floods are mostly associated with landslides and erosion of roads within a short time. Most of Vietnam is hilly and mountainous; thus, the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic management. In this study, three Machine Learning (ML) methods namely Deep Learning Neural Network (DL), Correlation-based Feature Weighted Naive Bayes… More >

Reza Shokri-Gharelo¹, Ali Bandehagh^1,*, Mohammad Anwar Hossain^2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1403-1417, 2022, DOI:10.32604/phyton.2022.020431 - 14 March 2022

Abstract Drought stress is one of the most important abiotic stresses that plants face frequently in nature. Under drought conditions, many morphological, physiological, and molecular aspects of plants are changed and as a result plants experience a remarkable reduction in growth, yield, and reproduction. To expand our understanding of the molecular basis of the plant response to drought stress, the proteomic profile and protein-protein network of canola (Brassica napus L.) were studied. The focus was to show molecular mechanisms related to canola susceptibility to drought stress. The experiment used a completely randomized design, implemented in a hydroponic… More >

Maha M. Althobaiti^*

Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 167-177, 2021, DOI:10.32604/iasc.2021.016660 - 17 March 2021

Abstract Cybersecurity threats, including those involving machine learning, malware, phishing, and cryptocurrency, have become more sophisticated. They target sensitive information and put institutions, governments, and individuals in a continual state of risk. In 2019, phishing attacks became one of the most common and dangerous cyber threats. Such attacks attempt to steal sensitive data, such as login and payment card details, from financial, social, and educational websites. Many universities have suffered data breaches, serving as a prime example of victims of attacks on educational websites. Owing to advances in phishing tactics, strategies, and technologies, the end-user is… More >

Neslihan Duzkale^1,*, Emine Demıral²

Oncologie, Vol.22, No.4, pp. 225-234, 2020, DOI:10.32604/oncologie.2020.014120

Abstract Multiple primary malignant neoplasms (MPMN) are rare tumors that have attracted attention with increasing incidence rates in recent years and where cancer susceptibility genes may play a role in their etiology. In this study, it was aimed to determine the genotype-phenotype correlation in patients with MPMN. From January 2018 to January 2020, thirty patients were analyzed for 59 cancer susceptibility genes and diagnosed with MPMN, using a large multigene panel with Next Generation Sequencing technique (NGS) in Turkey. The mean age of first and second cancer diagnosis of cases were calculated as 42.5 and 49.9… More >

HONGYAN LI^1,#, CHUNLING LIAO^2,#, WENJUAN WENG², HONGZHEN ZHONG², TIANBIAO ZHOU^2,*

BIOCELL, Vol.44, No.2, pp. 257-262, 2020, DOI:10.32604/biocell.2020.08826 - 27 May 2020

Abstract In this study, we used a meta-analysis method to evaluate the relationship between hypoxia-inducible factor-1α (HIF1α) 1772C/T gene polymorphism (rs 11549465) and renal cell carcinoma (RCC)/prostate cancer risk. We searched for relevant studies (before March 1, 2019) on Cochrane Library, Embase, and PubMed. Studies meeting the inclusion criteria were recruited into this meta-analysis. The outcome of dichotomous data was showed in the way of odds ratios (OR), and 95% confidence intervals (CI) were also counted. In this investigation, there was no association between HIF1α 1772C/T gene polymorphism and susceptibility to RCC in Caucasians, Asians as More >

Haifeng WANG^{1, 2, 3} , Hongxuan HE²

BIOCELL, Vol.42, No.2, pp. 47-54, 2018, DOI:10.32604/biocell.2018.07006

Abstract The emergence and spread of antibiotic resistance genes among Bacteria are a serious threat to global health. Their occurrence in animals which are in contact with humans is also important. The Chinese cobra (Naja atra, Elapidae), though a highly venomous species, is appreciated as food and as a source of materials used in traditional Chinese medicine. We are here reporting the isolation of multidrug-resistant Klebsiella pneumoniae (Enterobacteriaceae) from the lung of Naja atra, obtained from a snake farm in a Beijing suburb. Our study analyzed, using gene sequencing, the occurrence of antibiotic resistance genes (ARGs) in… More >

Su-Hoon Lee, Suh-Kyung Hyun, Hak-Bong Kim, Chi-Dug Kang, Sun-Hee Kim

Oncology Research, Vol.24, No.6, pp. 495-509, 2016, DOI:10.3727/096504016X14685034103950

Abstract Hepatocellular carcinoma (HCC) is one of the most common malignancies, with a poor prognosis and high recurrence rate. In the present study, we identified CD133, one of the markers of cancer stem cells, as a novel molecular target of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL). In four human HCC cell lines established from primary HCC tumors, we found that CD133-high human liver cancer stem-like cells (CD133^hi) derived from the SNU-475 cell line were highly susceptible to TRAIL compared to other HCC cell lines with a small population of CD133. CD133^hi SNU-475 cells showed upregulation of TRAIL… More >