Sapiah Sakri¹, Shakila Basheer¹, Zuhaira Muhammad Zain¹, Nurul Halimatul Asmak Ismail^2,*, Dua’ Abdellatef Nassar¹, Manal Abdullah Alohali¹, Mais Ayman Alharaki¹

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1157-1185, 2024, DOI:10.32604/cmc.2024.048051

Abstract Background: Sepsis, a potentially fatal inflammatory disease triggered by infection, carries significant health implications worldwide. Timely detection is crucial as sepsis can rapidly escalate if left undetected. Recent advancements in deep learning (DL) offer powerful tools to address this challenge. Aim: Thus, this study proposed a hybrid CNNBDLSTM, a combination of a convolutional neural network (CNN) with a bi-directional long short-term memory (BDLSTM) model to predict sepsis onset. Implementing the proposed model provides a robust framework that capitalizes on the complementary strengths of both architectures, resulting in more accurate and timelier predictions. Method: The sepsis prediction method proposed here utilizes… More >

İBRAHIM KARTERI^a,b,*, MUSTAFA ÖZYEŞILDAĞ^b

Journal of Polymer Materials, Vol.38, No.1-2, pp. 167-177, 2021, DOI:10.32381/JPM.2021.38.1-2.13

Abstract This study aims to provide a comprehensive account of chemically reduced graphene oxide (RGO) and decabromodiphenyl ethane (DBDPE) filled acrylonitrile-butadiene-styrene (ABS) multifunctional filaments for fused deposition modeling (FDM) applications. ABS/RGO with DBDPE nanocomposites (ABS-GDM) were fabricated by single-screw extrusion at a diameter of 1.75 mm. The proportion of RGO and DBDPE for the ABS-GDM filaments was set to 0.75 wt%. The properties of the ABS-GDM were determined using optical, mechanical, thermal, and morphological characteristics (using scanning electron microscopy). A three-dimensional (3D) model was successfully printed using the developed ABS-GDM filaments for FDM 3D printing. These ABS-GDM have the potential to… More >

Po Ting Lin, Hae Chang Gea, Yogesh Jaluria^*

Frontiers in Heat and Mass Transfer, Vol.1, No.1, pp. 1-20, 2010, DOI:10.5098/hmt.v1.1.3003

Abstract Thermal systems play significant roles in the engineering practice and our lives. To improve those thermal systems, it is necessary to model and optimize the design and the operating conditions. More importantly, the design uncertainties should be considered because the failures of the thermal systems may be very dangerous and produce large loss. This review paper focuses on a systematic strategy of modeling and optimizing of the thermal systems with the considerations of the design uncertainties. To demonstrate the proposed strategy, one of the complicated thermal systems, Chemical Vapor Deposition (CVD), is simulated, parametrically modeled, and optimized. The operating conditions,… More >

Zhonghao Guo^*, Xinyue Xu, Xiangxian Chen

Computer Systems Science and Engineering, Vol.48, No.2, pp. 479-509, 2024, DOI:10.32604/csse.2023.043932

Abstract In software testing, the quality of test cases is crucial, but manual generation is time-consuming. Various automatic test case generation methods exist, requiring careful selection based on program features. Current evaluation methods compare a limited set of metrics, which does not support a larger number of metrics or consider the relative importance of each metric to the final assessment. To address this, we propose an evaluation tool, the Test Case Generation Evaluator (TCGE), based on the learning to rank (L2R) algorithm. Unlike previous approaches, our method comprehensively evaluates algorithms by considering multiple metrics, resulting in a more reasoned assessment. The… More >

Chirag Chandrashekar¹, K. P. Vijayakumar^1,*, K. Pradeep¹, A. Balasundaram^1,2

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2511-2533, 2024, DOI:10.32604/cmc.2024.047697

Abstract The most widely farmed fruit in the world is mango. Both the production and quality of the mangoes are hampered by many diseases. These diseases need to be effectively controlled and mitigated. Therefore, a quick and accurate diagnosis of the disorders is essential. Deep convolutional neural networks, renowned for their independence in feature extraction, have established their value in numerous detection and classification tasks. However, it requires large training datasets and several parameters that need careful adjustment. The proposed Modified Dense Convolutional Network (MDCN) provides a successful classification scheme for plant diseases affecting mango leaves. This model employs the strength… More >

Chuang Lu¹, Leilei Chen^2,3, Jinling Luo⁴, Haibo Chen^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 847-872, 2024, DOI:10.32604/cmes.2023.044446

Abstract We propose a combined shape and topology optimization approach in this research for 3D acoustics by using the isogeometric boundary element method with subdivision surfaces. The existing structural optimization methods mainly contain shape and topology schemes, with the former changing the surface geometric profile of the structure and the latter changing the material distribution topology or hole topology of the structure. In the present acoustic performance optimization, the coordinates of the control points in the subdivision surfaces fine mesh are selected as the shape design parameters of the structure, the artificial density of the sound absorbing material covered on the… More >

QILU PAN^1,2,#, YAN JIANG^1,2,#, LINQIAO LI^1,2, XIAOJING DU¹, QIAN HAN¹, FEIXIANG LING¹, ROU LI¹, SHUYUAN CHU^1,2, LIN MAI¹, JIANWEI HUANG¹, LIBING MA^1,2,*

BIOCELL, Vol.47, No.11, pp. 2495-2502, 2023, DOI:10.32604/biocell.2023.042617

Abstract Introduction: Allergen-specific CD4⁺ T cells play a central role in autoimmune disorders, allergies and asthma, with Th2-type immunity being the typical functional response of CD4⁺ T cells. This study aimed to investigate the role of MBD2 in regulating Th2 cell differentiation. Methods: Splenic mononuclear cells were extracted from C57BL/6 mice, and CD4⁺ T cells were isolated using magnetic beads and confirmed through flow cytometry. Lentivirus was employed to construct MBD2-silenced CD4⁺ T cells. In vitro experiments were performed to treat splenogenic mononuclear cells and CD4⁺ T cells with Ovalbumin (OVA), and Th2 cell ratios and IL-4 levels were assessed using… More >

Suprapto Suprapto, Putri Augista Nur Azizah, Yatim Lailun Ni’mah^*

Journal of Renewable Materials, Vol.11, No.12, pp. 4007-4023, 2023, DOI:10.32604/jrm.2023.031210

Abstract This research focuses on the effective removal of methylene blue dye using silica gel synthesized from chemical glass bottle waste as an environmentally friendly and cost-effective adsorbent. The adsorption process was optimized using Box-Behnken Design (BBD) and Response Surface Methodology (RSM) to investigate the influence of pH (6; 8 and 10), contact time (15; 30 and 45 min), adsorbent mass (30; 50 and 70 mg), and initial concentration (20; 50 and 80 mg/L) of the adsorbate on the adsorption efficiency. The BBD was conducted using Google Colaboratory software, which encompassed 27 experiments with randomly assigned combinations. The silica gel synthesized… More > Graphic Abstract

Zhiguo Yong¹, Hongmei Kang¹, Falai Chen^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 739-760, 2024, DOI:10.32604/cmes.2023.027171

Abstract PHT-splines are defined as polynomial splines over hierarchical T-meshes with very efficient local refinement properties. The original PHT-spline basis functions constructed by the truncation mechanism have a decay phenomenon, resulting in numerical instability. The non-decay basis functions are constructed as the B-splines that are defined on the 2 × 2 tensor product meshes associated with basis vertices in Kang et al., but at the cost of losing the partition of unity. In the field of finite element analysis and topology optimization, forming the partition of unity is the default ingredient for constructing basis functions of approximate spaces. In this paper,… More > Graphic Abstract

Yanming Xu^1,2, Leilei Chen^1,2,*, Haojie Lian³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010581

Abstract An isogeometric coupling algorithm based on the finite element method and the boundary element method (IGA-FEM/BEM) is proposed for the simulation of acoustic fluid-structure interaction and structuralacoustic topology optimization using the direct differentiation method. The geometries are constructed from triangular control meshes through Loop subdivision scheme. The effect of sound-absorbing materials on the acoustic response is characterized by acoustic impedance boundary conditions. The optimization problem is formulated in the framework of Solid Isotropic Material with Penalization methods and the sound absorption coefficients on elements are selected as design variables. Numerical examples are presented to demonstrate the validity and efficiency of… More >