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  • Open Access

    ARTICLE

    Deep Learning Framework for Landslide Severity Prediction and Susceptibility Mapping

    G. Bhargavi*, J. Arunnehru

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

    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 distance from road, lithology, and… More >

  • Open Access

    ARTICLE

    Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam

    Huong Thi Thanh Ngo1, Nguyen Duc Dam1, Quynh-Anh Thi Bui1, Nadhir Al-Ansari2,*, Romulus Costache3,4,*, 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

    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 (CFWNB), and Adaboost (AB-CFWNB) were… More >

  • Open Access

    ARTICLE

    Proteomic Profiling and Protein-Protein Interaction Network Reveal the Molecular Mechanisms of Susceptibility to Drought Stress in Canola (Brassica napus L.)

    Reza Shokri-Gharelo1, Ali Bandehagh1,*, Mohammad Anwar Hossain2,*

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

    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 system under greenhouse conditions.… More >

  • Open Access

    ARTICLE

    Assessing User’s Susceptibility and Awareness of Cybersecurity Threats

    Maha M. Althobaiti*

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

    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 the main victim of an… More >

  • Open Access

    ARTICLE

    The Investigation of Genotype-Phenotype Relationship in Multiple Primary Malignant Neoplasia Patients

    Neslihan Duzkale1,*, 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 (respectively). These primary cancers were… More >

  • Open Access

    ARTICLE

    Association of hypoxia-inducible factor-1α (HIF1α) 1772C/T gene polymorphism with susceptibility to renal cell carcinoma/prostate cancer

    HONGYAN LI1,#, CHUNLING LIAO2,#, WENJUAN WENG2, HONGZHEN ZHONG2, TIANBIAO ZHOU2,*

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

    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 well as overall populations. In… More >

  • Open Access

    ARTICLE

    Storage lipids and proteins of Euterpe edulis seeds

    VÍCTOR PANZA1,2, DARIO PIGHIN3, VERÓNICA LÁINEZ2, RICARDO J. POLLERO4, SARA MALDONADO1,2,*

    BIOCELL, Vol.33, No.2, pp. 99-106, 2009, DOI:10.32604/biocell.2009.33.099

    Abstract Comparative studies on fatty acid and protein composition of the endosperm and embryo of palmito (Euterpe edulis Martius) were conducted using gas-liquid chromatography and sodium dodecyl sulfate–polyacrylamide gel electrophoresis. On a dry weight basis, the embryo contained extremely lower amounts of lipids and proteins than did the endosperm, which was associated with the scarce lipid and protein bodies previously reported in axis and cotyledon. The fatty acid composition also exhibited differences between both tissues: (I) the fatty acid diversity was greater in embryo than in endosperm; (II) embryo and endosperm contained predominantly linoleic, palmitic, oleic and stearic acids even though… More >

  • Open Access

    ARTICLE

    Variation in susceptibility to insecticides in Bemisia tabaci biotype B fed on different hosts

    Cerna-Chávez E1, Y Martínez-Martínez2, J Landeros-Flores1, L Aguirre-Uribe1, V Sánchez-Valdes1, M Cepeda-Siller1, O Hernández-Bautista2, YM Ochoa-Fuentes*1

    Phyton-International Journal of Experimental Botany, Vol.85, pp. 256-261, 2016, DOI:10.32604/phyton.2016.85.256

    Abstract Bemisia tabaci (Gennaadius) biotype B is one of the most important pests due to the number of hosts and economic losses it produces. Its control is based on the application of chemicals, which has led to resistance problems. However, the host may also influence the induction of resistance to pesticides. Therefore, the present study evaluated the susceptibility of populations of B. tabaci biotype B developed indifferent hosts to three insecticides belonging to different toxicological groups. Bemisia tabaci biotype B populations were collected and reared in six different hosts (three crops and three associated weeds: Solanum lycopersicum, Solanum nigrum, Phaseolus vulgaris,… More >

  • Open Access

    ARTICLE

    Relative susceptibility to blackpoint in durum wheat varieties of Argentina

    Miravalles1 M, V Beaufort2, F Möckel1

    Phyton-International Journal of Experimental Botany, Vol.77, pp. 263-273, 2008, DOI:10.32604/phyton.2008.77.263

    Abstract Blackpoint incidence was assessed on grain from six durum wheat (Triticum durum Desf.) varieties grown during crop season 2004-05 at four sites, in the traditional durum wheat growing region of Argentina. Broad differences in grain discolouration were detected among sites and varieties, together with significant variety x site interactions. Among varieties, those with lower thousand grain weight and higher widthto- length ratio (proportionally shorter grains) showed less susceptibility to this disease than heavy/large grain varieties. Differences among sites in the levels of blackpoint incidence were also related to the physical attributes of grains revealing the strong influence of the environment… More >

  • Open Access

    ARTICLE

    Effect of heat conditioning on chilling injury susceptibility of Persian lime (Citrus latifolia Tanaka)

    Bosquez Molina1 E, J Domínguez Soberanes1, L Perez Flores2, S Bautista Baños3, F Díaz de León Sánchez2, F Rivera-Cabrera2

    Phyton-International Journal of Experimental Botany, Vol.77, pp. 161-174, 2008, DOI:10.32604/phyton.2008.77.161

    Abstract Cold storage is one of the most important technologies used to maintain the postharvest quality of many horticultural commodities. However, cold storage is restricted for Persian lime because of its susceptibility to chilling injury. The objective of this study was to evaluate the effects of high temperature conditioning on the susceptibility to chilling injury in Persian lime (Citrus latifolia Tanaka). It was harvested in Martínez de la Torre, Veracruz, Mexico, and stored at different refrigeration temperatures. After harvesting, fruits received the following treatments: (1) hot water conditioning (53 °C during 3 min); (2) hot air conditioning (38 °C, 90-95 %… More >

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