Congjun Rao¹, Mengxi Li¹, Tingting Huang^2,*, Feiyu Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 699-724, 2024, DOI:10.32604/cmes.2023.044898

Abstract Stroke is a chronic cerebrovascular disease that carries a high risk. Stroke risk assessment is of great significance in preventing, reversing and reducing the spread and the health hazards caused by stroke. Aiming to objectively predict and identify strokes, this paper proposes a new stroke risk assessment decision-making model named Logistic-AdaBoost (Logistic-AB) based on machine learning. First, the categorical boosting (CatBoost) method is used to perform feature selection for all features of stroke, and 8 main features are selected to form a new index evaluation system to predict the risk of stroke. Second, the borderline synthetic minority oversampling technique (SMOTE)… More >

Linlin Fang, Jiamei Xu, Chunxue Yang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.12, pp. 3195-3209, 2023, DOI:10.32604/phyton.2023.043049

Abstract Syneilesis aconitifolia is a potential ground cover and decorative material in gardens, which exhibits a strong salt-alkali tolerance, and also has medicinal value. In this study, the arbuscular mycorrhizal (AM) fungi community in the soil surrounding S. aconitifolia roots in the Songnen saline-alkali grassland was used as the inoculation medium for a pot cultivation experiment. After normal culture for 90 days, NaCl and NaHCO₃ solutions were applied to subject plants to salt or alkali stress. Solution concentrations of 50, 100, and 200 mmol/L were applied for 10 days, and mycorrhizal colonization, biomass, relative water content (RWC), chlorophyll concentration, malondialdehyde (MDA)… More >

Foued Chabane^a,b,*,†, Noureddine Moummi^a,b, Abdelhafid Brima^a,b, Said Benramache^c

Frontiers in Heat and Mass Transfer, Vol.4, No.1, pp. 1-6, 2013, DOI:10.5098/hmt.v4.1.3006

Abstract This paper presents an experimental thermal efficiency analysis for a novel flat plate solar air heater with several mass flow rates. The aims are to review of designed and analyzed a thermal efficiency of flat-plate solar air heaters. The measured parameters were the inlet and outlet temperatures, the absorbing plate temperatures, the ambient temperature, and the solar radiation. Further, the measurements were performed at different values of mass flow rate of air in flow channel duct. After the analysis of the results, the optimal value of efficiency is higher level of mass flow rate equal to 0.0202 kg/s in flow… More >

CHENYANG CHEN^1,*, JUAN WEN¹, WEI HUANG¹, JIANG LI^2,*

BIOCELL, Vol.47, No.11, pp. 2423-2433, 2023, DOI:10.32604/biocell.2023.044459

Abstract Background: Pulmonary arterial hypertension (PAH) is a chronic and progressive disease that is strongly associated with dysregulation of glucose metabolism. Alterations in nuclear receptor subfamily 4 group A member 1 (NR4A1) activity alter the outcome of PAH. This study aimed to investigate the effects of NR4A1 on glycolysis in PAH and its underlying mechanisms. Methods: This study included twenty healthy volunteers and twenty-three PAH patients, and plasma samples were collected from the participants. To mimic the conditions of PAH in vitro, a hypoxia-induced model of pulmonary artery smooth muscle cell (PASMC) model was established. The proliferation of PASMCs was assessed… More > Graphic Abstract

Dana F. Doghramachi^1,*, Siddeeq Y. Ameen²

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 717-732, 2023, DOI:10.32604/cmc.2023.041186

Abstract The rapid adoption of the Internet of Things (IoT) across industries has revolutionized daily life by providing essential services and leisure activities. However, the inadequate software protection in IoT devices exposes them to cyberattacks with severe consequences. Intrusion Detection Systems (IDS) are vital in mitigating these risks by detecting abnormal network behavior and monitoring safe network traffic. The security research community has shown particular interest in leveraging Machine Learning (ML) approaches to develop practical IDS applications for general cyber networks and IoT environments. However, most available datasets related to Industrial IoT suffer from imbalanced class distributions. This study proposes a… More >

Ali Khan^1,4, Somaiya Khan², Bilal Hassan³, Rizwan Khan^1,4, Zhonglong Zheng^1,4,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 403-424, 2023, DOI:10.32604/cmc.2023.040251

Abstract Smoking has an economic and environmental impact on society due to the toxic substances it emits. Convolutional Neural Networks (CNNs) need help describing low-level features and can miss important information. Moreover, accurate smoker detection is vital with minimum false alarms. To answer the issue, the researchers of this paper have turned to a self-attention mechanism inspired by the ViT, which has displayed state-of-the-art performance in the classification task. To effectively enforce the smoking prohibition in non-smoking locations, this work presents a Vision Transformer-inspired model called SmokerViT for detecting smokers. Moreover, this research utilizes a locally curated dataset of 1120 images… More >

Rufus Gikera^1,*, Jonathan Mwaura², Elizaphan Muuro³, Shadrack Mambo³

Journal on Artificial Intelligence, Vol.5, pp. 75-112, 2023, DOI:10.32604/jai.2023.043229

Abstract k-means is a popular clustering algorithm because of its simplicity and scalability to handle large datasets. However, one of its setbacks is the challenge of identifying the correct k-hyperparameter value. Tuning this value correctly is critical for building effective k-means models. The use of the traditional elbow method to help identify this value has a long-standing literature. However, when using this method with certain datasets, smooth curves may appear, making it challenging to identify the k-value due to its unclear nature. On the other hand, various internal validation indexes, which are proposed as a solution to this issue, may be… More >

Qingyun Zeng^1,2, Mingxin Zheng^1,*, Dan Huang²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.12, pp. 2981-3005, 2023, DOI:10.32604/fdmp.2023.029427

Abstract A complex interface exists between water flow and solid particles during hydraulic soil erosion. In this study, the particle discrete element method (DEM) has been used to simulate the hydraulic erosion of a granular soil under moving bed conditions and surrounding terrain changes. Moreover, the weakly compressible smoothed particle hydrodynamics (WCSPH) approach has been exploited to simulate the instability process of the free surface fluid and its propagation characteristics at the solid–liquid interface. The influence of a suspended medium on the water flow dynamics has been characterized using the mixed viscosity concept accounting for the solid–liquid mixed particle volume ratio.… More > Graphic Abstract

Zhipeng Sheng, Jiasong Meng, Jun Tao^*, Daqiu Zhao^*

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3133-3147, 2023, DOI:10.32604/phyton.2023.028818

Abstract

Tree peony (Paeonia suffruticosa Andr.) is a traditional Chinese flower, which prefers cool weather. However, high temperature in summer in the middle and lower reaches of the Yangtze River restricts its growth and development. In this study, osmotic regulation, antioxidant enzyme activities, and photosynthetic characteristics of tree peony in response to high-temperature stress were investigated. The results showed that high-temperature stress had destroyed the cell membrane, manifested as the increased relative electrical conductivity and malondialdehyde content. Moreover, high-temperature stress led to excessive accumulation of reactive oxygen species, thereby, activating antioxidant enzyme activities. Also, photosynthetic parameters and chlorophyll fluorescence parameters directly… More >

Dongmei Huang¹, Dang Hong², Wei Li^1,*, Guidong Yang¹, Vesna Rajic³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 509-524, 2024, DOI:10.32604/cmes.2023.029215

Abstract In this paper, the bifurcation properties of the vibro-impact systems with an uncertain parameter under the impulse and harmonic excitations are investigated. Firstly, by means of the orthogonal polynomial approximation (OPA) method, the nonlinear damping and stiffness are expanded into the linear combination of the state variable. The condition for the appearance of the vibro-impact phenomenon is to be transformed based on the calculation of the mean value. Afterwards, the stochastic vibro-impact system can be turned into an equivalent high-dimensional deterministic non-smooth system. Two different Poincaré sections are chosen to analyze the bifurcation properties and the impact numbers are identified… More >