Mohammed A. Mahdi¹, Shahanawaj Ahamad², Sawsan A. Saad³, Alaa Dafhalla³, Alawi Alqushaibi⁴, Rizwan Qureshi^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2351-2373, 2024, DOI:10.32604/cmes.2024.055723 - 31 October 2024

Abstract The segmentation of head and neck (H&N) tumors in dual Positron Emission Tomography/Computed Tomography (PET/CT) imaging is a critical task in medical imaging, providing essential information for diagnosis, treatment planning, and outcome prediction. Motivated by the need for more accurate and robust segmentation methods, this study addresses key research gaps in the application of deep learning techniques to multimodal medical images. Specifically, it investigates the limitations of existing 2D and 3D models in capturing complex tumor structures and proposes an innovative 2.5D UNet Transformer model as a solution. The primary research questions guiding this study… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1829-1829, 2024, DOI:10.32604/or.2024.056904 - 16 October 2024

Abstract This article has no abstract. More >

JEN-PIN CHUANG^1,2,3, HSIANG-LIN TSAI^4,5, WEI-CHIH SU^4,6,7, PO-JUNG CHEN^4,6, CHING-WEN HUANG^4,5, TSUNG-KUN CHANG^4,6,7, YEN-CHENG CHEN^4,6, CHING-CHUN LI^4,8, YUNG-SUNG YEH^4,9,10, TZU-CHIEH YIN^4,5,11, JAW-YUAN WANG^{4,5,6,12,13,*}

Oncology Research, Vol.32, No.11, pp. 1723-1732, 2024, DOI:10.32604/or.2024.052098 - 16 October 2024

Abstract Background: The pTNM staging system is widely recognized as the most effective prognostic indicator for cancer. The latest update of this staging system introduced a new pathological staging system (ypTNM) for patients receiving neoadjuvant chemoradiotherapy (NACRT). However, whether the prognostic value of the ypTNM staging system for rectal cancer is similar to that of the pTNM staging system remains unclear. This study was conducted to compare the ypTNM and pTNM staging systems in terms of their prognostic value for patients with nonmetastatic rectal cancer undergoing proctectomy. Material and Methods: This study was conducted at a large teaching… More >

Hind Baageel¹, Md Mahfuzur Rahman^1,2,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1215-1233, 2024, DOI:10.32604/cmc.2024.055908 - 15 October 2024

Abstract The advent of blockchain technology has transformed traditional methods of information exchange, shifting reliance from centralized data centers to decentralized frameworks. While blockchain’s decentralization and security are strengths, traditional consensus mechanisms like Proof of Work (PoW) and Proof of Stake (PoS) face limitations in scalability. PoW achieves decentralization and security but struggles with scalability as transaction volumes grow, while PoS enhances scalability, but risks centralization due to monopolization by high-stake participants. Sharding, a recent advancement in blockchain technology, addresses scalability by partitioning the network into shards that process transactions independently, thereby improving throughput and reducing… More >

Qingkun Chen, Qinmu Wu^*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1301-1318, 2024, DOI:10.32604/cmc.2024.054799 - 15 October 2024

Abstract Vehicular Ad-hoc Networks (VANETs) make it easy to transfer information between vehicles, and this feature is utilized to enable collaborative decision-making between vehicles to enhance the safety, economy, and entertainment of vehicle operation. The high mobility of vehicles leads to a time-varying topology between vehicles, which makes inter-vehicle information transfer challenging in terms of delay control and ensuring the stability of collaborative decision-making among vehicles. The clustering algorithm is a method aimed at improving the efficiency of VANET communication. Currently, most of the research based on this method focuses on maintaining the stability of vehicle… More >

Mahesh Thyluru Ramakrishna¹, Kuppusamy Pothanaicker², Padma Selvaraj³, Surbhi Bhatia Khan^4,7,*, Vinoth Kumar Venkatesan⁵, Saeed Alzahrani⁶, Mohammad Alojail⁶

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 867-883, 2024, DOI:10.32604/cmc.2024.053563 - 15 October 2024

Abstract Brain tumor is a global issue due to which several people suffer, and its early diagnosis can help in the treatment in a more efficient manner. Identifying different types of brain tumors, including gliomas, meningiomas, pituitary tumors, as well as confirming the absence of tumors, poses a significant challenge using MRI images. Current approaches predominantly rely on traditional machine learning and basic deep learning methods for image classification. These methods often rely on manual feature extraction and basic convolutional neural networks (CNNs). The limitations include inadequate accuracy, poor generalization of new data, and limited ability… More >

Lixia Yang^1,*, Danqi Huang¹, Zongxin Liu², Lei Zhao¹, Xuejing Shen¹, Haizhou Wang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.012690

Abstract Neutrons possess unique advantages in the study of element and component distribution, internal damage defects, crystal structure, and multi-scale stress field evolution of engineering materials due to their strong penetrating ability, sensitivity to light elements, and non-destructive properties. This study introduces the application of neutron diffraction technology for characterizing residual stress in full-size high-speed iron wheels and neutron imaging technology for three-dimensional characterization of hydrogen distribution in titanium alloys treated with hot hydrogen.
Residual stress plays a critical role in the design, manufacturing, assembly, and service life cycle of wheel structures. It is a significant factor… More >

Dukui Zheng¹, Jingfa Li^1,*, Bo Yu¹, Zhiqiang Huang¹, Yindi Zhang¹, Cuiwei Liu²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011669

Abstract In the low and medium pressure urban gas pipe network, transporting the hydrogen-blended natural gas through polyethylene pipe is an important means to realize the large-scale delivery and utilization of hydrogen-blended natural gas. However, due to the characteristics of polymer material, polyethylene pipes will experience aging phenomenon, which will lead to the deterioration of performance and eventually result in brittle damage and failure. Therefore, it is of great significance to analyze and predict the lifetime of polyethylene pipe due to the aging in the hydrogen-blended natural gas environment to ensure the safe transportation. In this… More >

Fatima-Ezzahra Soussani^1,2,3, Youssef Ait Rahou^1,2,4, Chayma Ikan^1,2, Allal Douira³, Rachid Benkirane³, Essaid Ait Barka⁵, Rachid Lahlali^6,*, Abdelilah Meddich^1,2,7,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2415-2438, 2024, DOI:10.32604/phyton.2024.055050 - 30 September 2024

Abstract This study assesses the effectiveness of using arbuscular mycorrhizal fungi (M) and compost applied alone or in combination (vs. conventional chemical fertilizer application (NPK)) on tomato resistance to vascular wilt caused by Verticillium dahliae. In this study, ten treatments were applied: (1) Control (2) M: Rhizophagus irregularis (3) C: Compost (4) MC: The combination of M and compost (5) NPK: conventional chemical fertilizer (6) V: plants infected with V. dahliae (7) MV: plants infected with a conidial suspension of V. dahliae and M, (8) CV: The combination of compost and V. dahliae, (9) MCV: The combination of M, compost and V. dahliae,… More >

Mingzhao Han¹, Susilawati Kasim^1,*, Zhongming Yang², Xi Deng², Noor Baity Saidi³, Md Kamal Uddin¹, Effyanti Mohd Shuib¹

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2149-2166, 2024, DOI:10.32604/phyton.2024.054009 - 30 September 2024

Abstract It is imperative to enhance crop yield to meet the demands of a burgeoning global population while simultaneously safeguarding the environment from adverse impacts, which is one of the dominant challenges confronting humanity in this phase of global climate change. To overcome this problem and reduce dependency on chemical fertilizer, scientists now view the implementation of biostimulant strategies as a cost-effective and environmentally friendly approach to achieving sustainable agriculture. Plant extracts are rich in bioactive phytocompounds, which can enhance plant resistance to disease, pest, and abiotic stresses (e.g., drought, salinity, and extreme temperature), and promote… More >