Saranya Velmurugan¹, Dapkupar Wankhar², Vijayalakshmi Paramasivan³, Gowtham Kumar Subbaraj^1,*

BIOCELL, Vol.49, No.8, pp. 1363-1390, 2025, DOI:10.32604/biocell.2025.065891 - 29 August 2025

Abstract Cancer rates are increasing globally, making it more urgent than ever to enhance research and treatment strategies. This study aims to investigate how innovative technology and integrated multi-omics techniques could help improve cancer diagnosis, knowledge, and therapy. A complete literature search was undertaken using PubMed, Elsevier, Google Scholar, ScienceDirect, Embase, and NCBI. This review examined the articles published from 2010 to 2025. Relevant articles were found using keywords and selected using inclusion criteria New sequencing methods, like next-generation sequencing and single-cell analysis, have transformed our ability to study tumor complexity and genetic mutations, paving the… More >

Jize Zhang¹, T. P. C. Klaver², Songge Yang¹, Brajendra Mishra¹, Yu Zhong^1,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4299-4311, 2025, DOI:10.32604/cmc.2025.067793 - 30 July 2025

Abstract Designing high-performance high-entropy alloys (HEAs) with transformation-induced plasticity (TRIP) or twinning-induced plasticity (TWIP) effects requires precise control over stacking fault energy (SFE) and phase stability. However, the vast complexity of multicomponent systems poses a major challenge for identifying promising candidates through conventional experimental or computational methods. A high-throughput CALPHAD framework is developed to identify compositions with potential TWIP/TRIP behaviors in the Cr-Co-Ni and Cr-Co-Ni-Fe systems through systematic screening of stacking fault energy (SFE), FCC phase stability, and FCC-to-HCP transition temperatures (T₀). The approach combines TC-Python automation with parallel Gibbs energy calculations across hundreds of thousands of… More >

Vijaya Krishna Akula^1,*, Tan Kuan Tak², Pravin Ramdas Kshirsagar³, Shrikant Vijayrao Sonekar⁴, Gopichand Ginnela⁵

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2449-2479, 2025, DOI:10.32604/cmc.2025.061486 - 16 April 2025

Abstract The rapid expansion of Internet of Things (IoT) networks has introduced challenges in network management, primarily in maintaining energy efficiency and robust connectivity across an increasing array of devices. This paper introduces the Adaptive Blended Marine Predators Algorithm (AB-MPA), a novel optimization technique designed to enhance Quality of Service (QoS) in IoT systems by dynamically optimizing network configurations for improved energy efficiency and stability. Our results represent significant improvements in network performance metrics such as energy consumption, throughput, and operational stability, indicating that AB-MPA effectively addresses the pressing needs of modern IoT environments. Nodes are More >

MOHAMMAD ABOHASSAN, MESFER MOHAMMAD AL SHAHRANI, SARAH KHALED ALOUDA, PRASANNA RAJAGOPALAN^*

Oncology Research, Vol.33, No.3, pp. 675-685, 2025, DOI:10.32604/or.2024.056256 - 28 February 2025

Abstract Background: The JAK2^V617F mutation plays a crucial part in the pathogenesis of myeloproliferative neoplasms (MPN), which includes polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF) leading to aberrant proliferation and survival of hematopoietic cells. Alongside the challenges of drug resistance and side effects, identifying novel compounds that selectively target JAK2^V617F could provide more effective and safer therapeutic options for patients with MPNs. Materials and Methods: We employed computational approaches like high-throughput virtual screening, molecular dynamics simulations (MDS), and binding free energy calculations to identify inhibitors targeting wild and mutant JAK2 kinases. JAK2^V617F positive HEL, wild… More >

Chenchen Zhou^1,2, Shuaishuai Liang³, Bin Qi³, Chenxu Liu², Nam-Joon Cho^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012380

Abstract Micro tools/parts are attracting increasing attention due to the miniaturization evolutionary tendency in many fields, whose functionalities are critically determined by their materials and shapes [1- 5]. Sharp-edged ceramic microparticles have great prospects to be used as micromachining tools and micro components. However, it remains a huge challenge to fabricate nontransparent ceramic sharp-edged microparticles in a high-throughput way while taking their shape complexity, precision, and strength into account [6-8]. Herein, we present an online mixing and in-situ polymerization strategy: “one-pot microfluidic fabrication” along with two novel microfluidic device fabrication methods: “groove & tongue” and sliding More >

Liang Jiang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012946

Abstract The Materials Genome Engineering (MGE) spurs the developments and applications of methods and tools in high-throughput experiments, integrated computation materials engineering and big data. Due to the unique importance and characteristics of structural alloys, there are great needs for MGE high throughput experimental methods and tools to enable efficient establishment of the complex alloy composition-microstructures-property relationships. To explore the alloy composition-phase relationships, several high-throughput experimental concepts are discussed. The diffusion-based high-throughput experimental concepts and approaches are highlighted from generating composition spread, automating characterization, and to illustrating systematic analysis. In particular, the evolution of diffusion multiple 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 >

Bo Hwan Kim^1,#, Sheikh Mansoor^2,#, Gyung Deok Han³, Ji Eun Park⁴, Wook Kim^1,*, Yong Suk Chung^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2339-2347, 2024, DOI:10.32604/phyton.2024.056439 - 30 September 2024

Abstract Recognizing the variation of genetic resources is the first step in selection. One of the most important variations in grain crops is the uniformity of seed grain weight, which can be converted into seed size. However, it has been challenging since it needs high labor costs and time to measure it on a large scale. The current study used an image analysis technique to measure the grain seed area of about 100 seeds per accession with 64 germplasm of Tartary buckwheat (Fagopyrum tataricum) to study variation among and within them. To understand the nature of variation, More >

Jinyu Chen¹, Long Shi^1,*, Qisheng Huang², Taotao Wang³, Daojing He⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1755-1773, 2024, DOI:10.32604/cmes.2023.046826 - 29 January 2024

Abstract In permissioned blockchain networks, the Proof of Authority (PoA) consensus, which uses the election of authorized nodes to validate transactions and blocks, has been widely advocated thanks to its high transaction throughput and fault tolerance. However, PoA suffers from the drawback of centralization dominated by a limited number of authorized nodes and the lack of anonymity due to the round-robin block proposal mechanism. As a result, traditional PoA is vulnerable to a single point of failure that compromises the security of the blockchain network. To address these issues, we propose a novel decentralized reputation management… More > Graphic Abstract

MESFER AL SHAHRANI, REEM GAHTANI, MOHAMMAD ABOHASSAN, MOHAMMAD ALSHAHRANI, YASSER ALRAEY, AYED DERA, MOHAMMAD RAJEH ASIRI, PRASANNA RAJAGOPALAN^*

Oncology Research, Vol.32, No.2, pp. 251-259, 2024, DOI:10.32604/or.2023.043139 - 28 December 2023

Abstract Gastric cancers are caused primarily due to the activation and amplification of the EGFR or HER2 kinases resulting in cell proliferation, adhesion, angiogenesis, and metastasis. Conventional therapies are ineffective due to the intra-tumoral heterogeneity and concomitant genetic mutations. Hence, dual inhibition strategies are recommended to increase potency and reduce cytotoxicity. In this study, we have conducted computational high-throughput screening of the ChemBridge library followed by in vitro assays and identified novel selective inhibitors that have a dual impediment of EGFR/HER2 kinase activities. Diversity-based High-throughput Virtual Screening (D-HTVS) was used to screen the whole ChemBridge small molecular… More > Graphic Abstract