Antonios Chrysargyris^1,*, Demetris Antoniou², Timos Boyias², Nikolaos Tzortzakis^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.076565 - 30 January 2026

Abstract Cyprus has an extensive record in grape production and winemaking. Grapevine is essential for the economic and environmental sustainability of the agricultural sector, as it is in other Mediterranean regions. Intensive agriculture can overuse and exhaust natural resources, including soil and water. The current study evaluated how conservation strategies, including no tillage and semi-tillage (as a variation of strip tillage), affected grapevine growth and grape quality when compared to conventional tillage application. Two cultivars were used: Chardonnay and Maratheftiko (indigenous). Soil pH decreased, and EC increased after tillage applications, in both vineyards. Tillage lowered soil… More >

Shohreh Moradpour^1,#, Shuai Zhao^2,#, Mojgan Entezari¹, Shamsollah Ayoubi^3,*, Seyed Roohollah Mousavi⁴

Revue Internationale de Géomatique, Vol.34, pp. 809-829, 2025, DOI:10.32604/rig.2025.069538 - 06 November 2025

Abstract Accurate spatial prediction of soil organic carbon (SOC) and soil inorganic carbon (SIC) is vital for land management decisions. This study targets SOC/SIC mapping challenges at the watershed scale in central Iran by addressing environmental heterogeneity through a random forest (RF) model combined with bootstrapping to assess prediction uncertainty. Thirty-eight environmental variables—categorized into climatic, soil physicochemical, topographic, geomorphic, and remote sensing (RS)-based factors—were considered. Variable importance analysis (via) and partial dependence plots (PDP) identified land use, RS indices, and topography as key predictors of SOC. For SIC, soil reflectance (Bands 5 and 7, ETM+), topography, More > Graphic Abstract

Segyeong Bang^#, Soeun Kim^#, Gaeun Ahn, Hyemin Hong, Junhyoung Oh^*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4629-4643, 2025, DOI:10.32604/cmc.2025.068221 - 23 October 2025

Abstract This study analyzes the risks of re-identification in Korean text data and proposes a secure, ethical approach to data anonymization. Following the ‘Lee Luda’ AI chatbot incident, concerns over data privacy have increased. The Personal Information Protection Commission of Korea conducted inspections of AI services, uncovering 850 cases of personal information in user input datasets, highlighting the need for pseudonymization standards. While current anonymization techniques remove personal data like names, phone numbers, and addresses, linguistic features such as writing habits and language-specific traits can still identify individuals when combined with other data. To address this,… More >

Yuanyuan Ma¹, Cunzhi Hou¹, Ang Chen¹, Jinghui Zhang¹, Ruixia Jin², Ruixiang Li^3,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1437-1456, 2025, DOI:10.32604/cmc.2025.064523 - 09 June 2025

Abstract Identifying cloud IP usage scenarios is critical for cybersecurity applications, yet existing machine learning methods rely heavily on numerous features, resulting in high complexity and low interpretability. To address these issues, this paper proposes an approach to identify cloud IPs from the perspective of network attributes. We employ data mining and crowdsourced collection strategies to gather IP addresses from various usage scenarios, which including cloud IPs and non-cloud IPs. On this basis, we establish a cloud IP identification feature set that includes attributes such as Autonomous System Number (ASN) and organization information. By analyzing the… More >

Qingyu Tan, Yan Li, Byeong-Seok Shin^*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2417-2428, 2025, DOI:10.32604/cmes.2025.063811 - 30 May 2025

Abstract Federated Learning (FL), a practical solution that leverages distributed data across devices without the need for centralized data storage, which enables multiple participants to jointly train models while preserving data privacy and avoiding direct data sharing. Despite its privacy-preserving advantages, FL remains vulnerable to backdoor attacks, where malicious participants introduce backdoors into local models that are then propagated to the global model through the aggregation process. While existing differential privacy defenses have demonstrated effectiveness against backdoor attacks in FL, they often incur a significant degradation in the performance of the aggregated models on benign tasks.… More >

Jian Feng^*, Yifan Guo, Cailing Du

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5135-5151, 2025, DOI:10.32604/cmc.2025.059610 - 06 March 2025

Abstract Graph similarity learning aims to calculate the similarity between pairs of graphs. Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph augmentation strategies, which can harm the semantic and structural information of graphs and overlook the rich structural information present in subgraphs. To address these issues, we propose a graph similarity learning model based on learnable augmentation and multi-level contrastive learning. First, to tackle the problem of random augmentation disrupting the semantics and structure of the graph, we design a learnable augmentation method to selectively choose nodes and… More >

Xiuyun Liu¹, Jixia Sun², Feng Ming³, Minxiao Liu^2,*, Xinyu Wang², Yingjie Zhang^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 379-391, 2025, DOI:10.32604/phyton.2025.060726 - 06 March 2025

Abstract To study the main aroma components of Phalaenopsis orchid and their relationship with colors, 10 fragrant cultivars with different colors, like pink, rose, yellow, and purple, were used as samples in this experiment. Headspace-gas chromatography-mass spectrometry was used to determine the main components of floral fragrance and analyze the correlation between floral color and fragrance. The results showed that the main aroma components of the 10 fragrant cultivars of Phalaenopsis were alcohols, alkenes, esters, and benzene ring compounds, and the main aroma components of different cultivars were diverse. The main aroma components of yellow fragrant flowers… More >

Ruoxin Li^1,*, Shaoxiong Wu¹, Fengping Deng¹, Zhongli Tian¹, Hua Cai¹, Xiang Li¹, Xu Xu¹, Qi Liu^2,3

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2969-2984, 2025, DOI:10.32604/cmc.2025.060230 - 17 February 2025

Abstract Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and… More >

Parul Verma¹, Sana Choudhary¹, Neha Naaz^1,*, Nidhi Sharma¹, Nora M. Al Aboud², Fatmah Ahmed Safhi³, Diaa Abd El Moneim^4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3347-3372, 2024, DOI:10.32604/phyton.2024.057592 - 31 December 2024

Abstract Cadmium (Cd) is a highly toxic heavy metal pollutant primarily introduced into the environment through anthropogenic activities. In plants, the absorption and retention of Cd lead to a cascade of morphological, physiological, and cytological alterations. Nigella sativa L., also known as black cumin, is an annual herb with important commercial and medicinal uses. Thymoquinone, the primary bioactive compound in Nigella sativa L., is renowned for its potential health benefits. The current experiment aimed to ascertain the effects of various concentrations (10, 20, 30, 40 and 50 ppm) of cadmium nitrate (Cd(NO₃₊)₂) on two Nigella sativa cultivars (AN20 and… More >

Abdul Ghafoor¹, Maria Latif², Shafaqat Ali^2,3,*, Muhammad Munir^4,*, Muhammad Naeem Sattar⁵, Mohammed Ali Alshehri⁶

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2683-2705, 2024, DOI:10.32604/phyton.2024.055898 - 30 November 2024

Abstract Heavy metal pollution in agricultural soils is a significant challenge for global food production and human health with the increasing industrialization and urbanization. There is a concern about introducing innovative techniques that are eco-friendly, cost-effective, and have the potential to alleviate metals, enhance crop growth, and protect plants against various environmental threats. For this, nanotechnology is one of the promising solutions having various applications in almost every field of life. This review explores various nano-based strategies that use nanoparticles (NPs) to lessen the harmful effects that heavy metals have on plants. Incorporated literature including published… More >