Shun Chen^1,2,3, Yingjie Wang¹, Xingyang He^1,2,3,*, Ying Su^1,2,3, Yingyuan Pan¹, Yimin Cao¹, Wentian Wang¹, Chao Yang^1,2,3, Bo Jiang^1,2,3, Shaolin Zhang⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 387-404, 2025, DOI:10.32604/fdmp.2024.055697 - 06 March 2025

Abstract Styrene-butadiene-styrene (SBS) modified asphalt (SA) has long found effective applications in road construction materials. When combined with fillers, SBS-modified asphalt has demonstrated promising resistance to fatigue cracking caused by temperature fluctuations and aging. In this study, molybdenum disulfide (MoS₂) and polyphosphoric acid (PPA) were ground in naphthenic oil (NO) and subjected to mechanical activation to create PPA-modified MoS₂, referred to as OMS-PPA. By blending various ratios of OMS-PPA with SBS-modified asphalt, composite-modified asphalts were successfully developed to enhance their overall properties. To assess the mechanical characteristics and stability of these modified asphalts, various methods were employed,… More > Graphic Abstract

Leonardo Di G. Sigalotti^*, Carlos A. Vargas

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2281-2337, 2025, DOI:10.32604/cmes.2025.060497 - 03 March 2025

Abstract The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through the liquid-vapor interface, is encountered in many natural and industrial processes as well as in numerous engineering applications. Therefore, understanding and predicting the dynamics of evaporating flows have become of primary importance. Recent efforts have been addressed using the method of Smoothed Particle Hydrodynamics (SPH), which has proven to be very efficient in correctly handling the intrinsic complexity introduced by the multiscale nature of the evaporation process. This paper aims to provide an overview of… More > Graphic Abstract

Ching-Lung Fan^1,*, Yu-Jen Chung²

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1925-1945, 2025, DOI:10.32604/cmc.2025.059245 - 17 February 2025

Abstract This study aims to enhance automated crop detection using high-resolution Unmanned Aerial Vehicle (UAV) imagery by integrating the Visible Atmospherically Resistant Index (VARI) with deep learning models. The primary challenge addressed is the detection of bananas interplanted with betel nuts, a scenario where traditional image processing techniques struggle due to color similarities and canopy overlap. The research explores the effectiveness of three deep learning models—Single Shot MultiBox Detector (SSD), You Only Look Once version 3 (YOLOv3), and Faster Region-Based Convolutional Neural Network (Faster RCNN)—using Red, Green, Blue (RGB) and VARI images for banana detection. Results More >

Wanqing Yuan¹, Huiying Xie¹, Can Huang², Xiaoliang Wang^1,3,*, Qingquan Liu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2045-2066, 2025, DOI:10.32604/cmes.2025.058977 - 27 January 2025

Abstract Landing spacecraft experience significant impact forces during landing, resulting in large deformation and failure in the soil surface, which severely affects landing safety and stability. This paper establishes a smoothed particle hydrodynamics (SPH) model based on the theory of soil elastoplastic constitutive relations to describe the process of a lander’s footpad impacting lunar regolith vertically. The model can provide engineering indices such as impact load and penetration depth, and illustrate the large deformation and crater characteristics of the regolith. A detailed analysis of the response of the footpad and lunar regolith during landing reveals that… More > Graphic Abstract

Chengyong Peng¹, Jianshu Wu¹, Mao Jiang¹, Biao Yin^2,3,*, Yishan Lou^2,3

Energy Engineering, Vol.122, No.1, pp. 185-201, 2025, DOI:10.32604/ee.2024.056062 - 27 December 2024

Abstract To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures, this study considered the combined impact of geological-engineering factors on conductivity. Using reservoir production parameters and the discrete element method, multispherical proppants were constructed. Additionally, a 3D fracture model, based on the specified conditions of the L block, employed coupled (Computational Fluid Dynamics) CFD-DEM (Discrete Element Method) for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in… More > Graphic Abstract

SAYUMI TAHARA¹, SYDNEY RENTSCH¹, FERNANDA COSTAS CASAL DE FARIA¹, PATRICIA SARCHET¹, ROMA KARNA¹, FEDERICA CALORE^2,*, RAPHAEL E. POLLOCK¹

Oncology Research, Vol.33, No.1, pp. 1-13, 2025, DOI:10.32604/or.2024.053635 - 20 December 2024

Abstract Liposarcoma is one of the most common soft tissue sarcomas, however, its occurrence rate is still rare compared to other cancers. Due to its rarity, in vitro experiments are an essential approach to elucidate liposarcoma pathobiology. Conventional cell culture-based research (2D cell culture) is still playing a pivotal role, while several shortcomings have been recently under discussion. In vivo, mouse models are usually adopted for pre-clinical analyses with expectations to overcome the issues of 2D cell culture. However, they do not fully recapitulate human dedifferentiated liposarcoma (DDLPS) characteristics. Therefore, three-dimensional (3D) culture systems have been the recent… More >

XIUWANG WEI¹, JIANBO LIANG¹, HUANWEN HUANG¹, DAMING YANG¹, XINXIN WANG¹, XIUJIA WANG¹, CHANGSHENG CHEN¹, KAIQIANG LI¹, TAISEN PANG¹, BIN HU¹, FENGNING WU^2,*

Oncology Research, Vol.33, No.1, pp. 161-169, 2025, DOI:10.32604/or.2024.048054 - 20 December 2024

Abstract Background: Transmembrane emp24 trafficking protein 3 (TMED3) is associated with the development of several tumors; however, whether TMED3 regulates the progression of prostate cancer remains unclear. Materials and Methods: Short hairpin RNA was performed to repress TMED3 in prostate cancer cells (DU145 cells) and in a prostate cancer mice model to determine its function in prostate cancer in vitro and in vivo. Results: In the present study, we found that TMED3 was highly expressed in prostate cancer cells. In vitro, shTMED3 treatment suppressed the proliferation, invasion, and migration and promoted the apoptosis of DU145 cells. Additionally, the Kyoto Encyclopedia… More >

Sourabh Mhaski^*, G. V. Ramana

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 251-277, 2025, DOI:10.32604/cmes.2024.055963 - 17 December 2024

Abstract Earthquake-induced soil liquefaction poses significant risks to the stability of geotechnical structures worldwide. An understanding of the liquefaction triggering, and the post-failure large deformation behaviour is essential for designing resilient infrastructure. The present study develops a Smoothed Particle Hydrodynamics (SPH) framework for earthquake-induced liquefaction hazard assessment of geotechnical structures. The coupled flow-deformation behaviour of soils subjected to cyclic loading is described using the PM4Sand model implemented in a three-phase, single-layer SPH framework. A staggered discretisation scheme based on the stress particle SPH approach is adopted to minimise numerical inaccuracies caused by zero-energy modes and tensile… More >

Quynh-Anh Thi Bui^1,*, Dam Duc Nguyen¹, Hiep Van Le¹, Indra Prakash², Binh Thai Pham^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 691-712, 2025, DOI:10.32604/cmes.2024.054766 - 17 December 2024

Abstract Determination of Shear Bond strength (SBS) at interlayer of double-layer asphalt concrete is crucial in flexible pavement structures. The study used three Machine Learning (ML) models, including K-Nearest Neighbors (KNN), Extra Trees (ET), and Light Gradient Boosting Machine (LGBM), to predict SBS based on easily determinable input parameters. Also, the Grid Search technique was employed for hyper-parameter tuning of the ML models, and cross-validation and learning curve analysis were used for training the models. The models were built on a database of 240 experimental results and three input variables: temperature, normal pressure, and tack coat… More >

Ivan Malakhov^1,*, Anton Surtaev^1,2, Vladimir Serdyukov^1,2, Ali Kosar³, Alexander Pavlenko¹

Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1645-1660, 2024, DOI:10.32604/fhmt.2024.056664 - 19 December 2024

Abstract To date, using biphilic surfaces is one of the most promising methods for enhancing heat transfer and critical heat flux during boiling simultaneously. However, most of studies on the effect of biphilic surfaces on boiling performance have been carried out under atmospheric pressure conditions. In this context, the issues of heat transfer enhancement and stabilization of the boiling process at subatmospheric pressures are particularly critical due to the interesting characteristics of boiling heat transfer and bubble dynamics at subatmospheric pressures and their practical significance including aerospace applications. This paper investigates the effect of the pitch… More > Graphic Abstract