Shu-Chuan Chu^1,2, Libin Fu², Jeng-Shyang Pan^2,3, Xingsi Xue⁴, Min Liu^5,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3135-3163, 2025, DOI:10.32604/cmc.2025.062469 - 16 April 2025

Abstract Evolutionary algorithms have been extensively utilized in practical applications. However, manually designed population updating formulas are inherently prone to the subjective influence of the designer. Genetic programming (GP), characterized by its tree-based solution structure, is a widely adopted technique for optimizing the structure of mathematical models tailored to real-world problems. This paper introduces a GP-based framework (GP-EAs) for the autonomous generation of update formulas, aiming to reduce human intervention. Partial modifications to tree-based GP have been instigated, encompassing adjustments to its initialization process and fundamental update operations such as crossover and mutation within the algorithm.… More >

Iman S. Al-Mahdi¹, Saad M. Darwish^1,*, Magda M. Madbouly²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 875-909, 2025, DOI:10.32604/cmes.2025.061623 - 11 April 2025

Abstract Heart disease prediction is a critical issue in healthcare, where accurate early diagnosis can save lives and reduce healthcare costs. The problem is inherently complex due to the high dimensionality of medical data, irrelevant or redundant features, and the variability in risk factors such as age, lifestyle, and medical history. These challenges often lead to inefficient and less accurate models. Traditional prediction methodologies face limitations in effectively handling large feature sets and optimizing classification performance, which can result in overfitting poor generalization, and high computational cost. This work proposes a novel classification model for heart… More >

Ahmed Mahmoud Ismail^1,2,*, Khalid Alhudaib¹, Donato Magistà^3,4

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 679-693, 2025, DOI:10.32604/phyton.2025.062196 - 31 March 2025

Abstract Coffee wilt represents one of the most devastating diseases of Arabica coffee (Coffea arabica L.) plantations in the primary coffee-producing regions. In this study, coffee trees manifesting wilt symptoms accompanied by the defoliation and drying of the whole tree were observed in the Jazan, El Baha, Najran, and Asir regions. The purpose of this investigation was to isolate and identify the Fusarium species recovered from symptomatic coffee trees. The developed fungi were initially characterized based on their morphological features followed by molecular phylogenetic multi-locus analysis of the combined sequences of ITS, TEF1-α, RPB2, and CaM. Twenty-five isolates… More >

Antonio Rodrigues da Cunha Neto¹, Alexandra dos Santos Ambrósio¹, Arlinda de Jesus Rodrigues Resende¹, Breno Régis Santos¹, Michele Carla Nadal^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 539-560, 2025, DOI:10.32604/phyton.2025.061776 - 31 March 2025

Abstract Cytokinins are plant hormones that are essential for plant growth and development and are involved in a variety of processes. They are synthesized by the modification of adenine with an isoprenoid chain, resulting in cytokinins such as isopentenyladenine and zeatin. The levels of these hormones are regulated by conjugation, degradation and oxidation processes that modulate their activity. Cytokinins are perceived by cells through specific receptors that, when activated, trigger signaling cascades responsible for regulating the expression of genes critical for development. In addition, cytokinins interact with other hormones, such as auxins, to coordinate plant growth… More >

Oliver Crampton^1,*, Panagiotis Promponas^1,2, Richard Chen¹, Paul Polakos¹, Leandros Tassiulas², Louis Samuel¹

Journal of Quantum Computing, Vol.7, pp. 1-15, 2025, DOI:10.32604/jqc.2025.061275 - 21 March 2025

Abstract Distributed Quantum Computing (DQC) provides a means for scaling available quantum computation by interconnecting multiple quantum processor units (QPUs). A key challenge in this domain is efficiently allocating logical qubits from quantum circuits to the physical qubits within QPUs, a task known to be NP-hard. Traditional approaches, primarily focused on graph partitioning strategies, have sought to reduce the number of required Bell pairs for executing non-local CNOT operations, a form of gate teleportation. However, these methods have limitations in terms of efficiency and scalability. Addressing this, our work jointly considers gate and qubit teleportations introducing… More >

MILICA KONTIC^1,2,*, FILIP MARKOVIC¹

Oncology Research, Vol.33, No.4, pp. 781-793, 2025, DOI:10.32604/or.2024.057231 - 19 March 2025

Abstract Detecting lung cancer early is crucial for improving survival rates, yet it remains a significant challenge due to many cases being diagnosed at advanced stages. This review aims to provide advances in epigenetics which have highlighted DNA methylation patterns as promising biomarkers for early detection, prognosis, and treatment response in lung cancer. Techniques like bisulfite conversion followed by PCR, digital droplet polymerase chain reaction, and next-generation sequencing are commonly used for detecting these methylation patterns, which occur early in the cancer development process and can be detected in non-invasive samples like blood and sputum. Key… More >

Sang-Hoon Choi¹, Ki-Woong Park^2,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4021-4039, 2025, DOI:10.32604/cmc.2025.061267 - 06 March 2025

Abstract The proliferation of Internet of Things (IoT) devices has established edge computing as a critical paradigm for real-time data analysis and low-latency processing. Nevertheless, the distributed nature of edge computing presents substantial security challenges, rendering it a prominent target for sophisticated malware attacks. Existing signature-based and behavior-based detection methods are ineffective against the swiftly evolving nature of malware threats and are constrained by the availability of resources. This paper suggests the Genetic Encoding for Novel Optimization of Malware Evaluation (GENOME) framework, a novel solution that is intended to improve the performance of malware detection and… More >

Wentao Sheng^*

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 331-345, 2025, DOI:10.32604/phyton.2025.061424 - 06 March 2025

Abstract Pyrola atropurpurea Franch is an important annual herbaceous plant. Few genomic analyses have been conducted on this plant, and chloroplast genome research will enrich its genomics basis. This study is based on high-throughput sequencing technology and Bioinformatics methods to obtain the sequence, structure, and other characteristics of the P. atropurpurea chloroplast genome. The result showed that the chloroplast genome of P. atropurpurea has a double-stranded circular structure with a total length of 172,535 bp and a typical four-segment structure. The genome has annotated a total of 132 functional genes, including 43 tRNAs, 8 rRNAs, 76 protein-coding genes, and… More >

Valentina Spanic^1,*, Zvonimir Lalic², Ivica Berakovic¹, Luka Drenjancevic², Goran Jukic², Ivan Varnica²

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 317-330, 2025, DOI:10.32604/phyton.2025.058201 - 06 March 2025

Abstract Enhanced grain yield is achieved in barley by developing varieties incorporating grain yield-related and morphological traits derived from different varieties. The evaluation of 28 morphological characteristics of 422 barley varieties was carried out to assess their changes over time from 1973 to 2023. Most barley yield improvement seems to have been achieved by changes in morphological traits where modern varieties out-yielded older varieties for more than 30% (from 1973 to 2023). According to the Pareto chart, the length of the first segment of the rachis was found to be the most important parameter that changed… More >

Adil Yousif^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2869-2892, 2025, DOI:10.32604/cmes.2025.059786 - 03 March 2025

Abstract The Internet of Things (IoT) has emerged as an important future technology. IoT-Fog is a new computing paradigm that processes IoT data on servers close to the source of the data. In IoT-Fog computing, resource allocation and independent task scheduling aim to deliver short response time services demanded by the IoT devices and performed by fog servers. The heterogeneity of the IoT-Fog resources and the huge amount of data that needs to be processed by the IoT-Fog tasks make scheduling fog computing tasks a challenging problem. This study proposes an Adaptive Firefly Algorithm (AFA) for… More >