Karim Gasmi¹, Olfa Hrizi^1,*, Najib Ben Aoun^2,3, Ibrahim Alrashdi¹, Ali Alqazzaz⁴, Omer Hamid⁵, Mohamed O. Altaieb¹, Alameen E. M. Abdalrahman¹, Lassaad Ben Ammar⁶, Manel Mrabet⁶, Omrane Necibi¹

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2459-2489, 2025, DOI:10.32604/cmes.2025.065817 - 30 May 2025

Abstract The potential applications of multimodal physiological signals in healthcare, pain monitoring, and clinical decision support systems have garnered significant attention in biomedical research. Subjective self-reporting is the foundation of conventional pain assessment methods, which may be unreliable. Deep learning is a promising alternative to resolve this limitation through automated pain classification. This paper proposes an ensemble deep-learning framework for pain assessment. The framework makes use of features collected from electromyography (EMG), skin conductance level (SCL), and electrocardiography (ECG) signals. We integrate Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Bidirectional Gated Recurrent Units (BiGRU),… More >

S. Y. Labonno, M. S. Raihan, M. Mohi-Ud-Din, A. K. M. Aminul Islam^*

Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1545-1563, 2025, DOI:10.32604/phyton.2025.063916 - 29 May 2025

Abstract Morpho-physiological evaluation of a crop’s genetic resources is necessary to find possible genotypes to include in breeding initiatives. The objective of this study was to identify heat-tolerant wheat genotypes among36 mutant lines using morpho-physiological indices. Seedlings of mutant lines and check varieties were grown under both normal (control) and heat-stress conditions in growth chambers. Data were recorded on root-shoot parameters (length, fresh weight, dry weight, and ratio), relative water content (RWC), stability of cell membrane, pigment content, and chlorophyll fluorescence. Two-way analysis of variance showed significant (p < 0.01, p < 0.001) variation among15 morpho-physiological features… More >

Ali Mohammad Alqudah¹, Zahra Moussavi^1,2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 3753-3841, 2025, DOI:10.32604/cmc.2025.063643 - 19 May 2025

Abstract This review presents a comprehensive technical analysis of deep learning (DL) methodologies in biomedical signal processing, focusing on architectural innovations, experimental validation, and evaluation frameworks. We systematically evaluate key deep learning architectures including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformer-based models, and hybrid systems across critical tasks such as arrhythmia classification, seizure detection, and anomaly segmentation. The study dissects preprocessing techniques (e.g., wavelet denoising, spectral normalization) and feature extraction strategies (time-frequency analysis, attention mechanisms), demonstrating their impact on model accuracy, noise robustness, and computational efficiency. Experimental results underscore the superiority of deep learning… More >

Kesu Wei¹, Guangju Liu², Bin Wei³, Qifang Zhang⁴, Shengjiang Wu¹, Zhaowei Li^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1287-1298, 2025, DOI:10.32604/phyton.2025.062385 - 30 April 2025

Abstract To systematically examine the tolerance of flue-cured tobacco K326 to soil drought stress, this study set up different water content trials for K326 at 60%, 40%, and 20% levels during the vigorous growing period by greenhouse pot planting. Pigment content, chlorophyll fluorescence parameters, antioxidant enzyme activity, and SPS and GS activities associated with carbon and nitrogen metabolism were investigated in the K326 tobacco leaves. The results showed that chlorophyll a and chlorophyll b contents decreased, non-photochemical quenching coefficient Y(NPQ) decreased in the later stage of vigorous growth, and energy dissipation quantum yield Y(NO) levels increased… More >

Zahra Alhawsa^*, Rewaa Jalal, Nouf Asiri

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1319-1337, 2025, DOI:10.32604/phyton.2025.061918 - 30 April 2025

Abstract Salinity stress is a major constraint on agricultural productivity, particularly in arid and semi-arid regions. This study evaluated the potential of Ascophyllum nodosum extract (ANE) in mitigating salinity-induced stress and enhancing the growth and physiological performance of Portulaca oleracea L. under NaCl concentrations of 0, 50, 70, and 100 mM for 50 days. A two-way ANOVA assessed the effects of NaCl concentration, ANE treatment, and their interaction. The results showed that ANE significantly increased plant height at 50 mM NaCl (p = 0.0011) but had no effect at higher salinity levels (p > 0.05). Shoot dry weight was… More >

Mudasser Mehmood^1,*, Zoahaib Aslam Khan¹, Adil Mehmood², Madiha Zaynab³, Muhammad Atiq ur Rahman⁴, Mohammad Khalid Al-Sadoon⁵, M. Harshini⁶, Ling Shing Wong⁷

Phyton-International Journal of Experimental Botany, Vol.94, No.4, pp. 1111-1135, 2025, DOI:10.32604/phyton.2025.059812 - 30 April 2025

Abstract Wheat (Triticum aestivum L.) is a staple crop critical for global food security, yet its productivity is significantly affected by abiotic stresses such as drought, salinity, and waterlogging, which are exacerbated by climate change. This study evaluated the effects of these stresses on vegetative growth, physiological responses, and yield. Field experiments were conducted using a Randomized Complete Block Design (RCBD) at the Mona Reclamation Experimental Project (MREP), WAPDA, Bhalwal, Sargodha, Punjab Pakistan. Stress treatments included three levels of drought (25%, 50%, and 75% field capacity), salinity (4, 8, and 12 dS/m), and waterlogging (24, 48, and… More >

Pikkili Gopala Krishna^1,*, Jalari Somasekar²

Intelligent Automation & Soft Computing, Vol.40, pp. 235-259, 2025, DOI:10.32604/iasc.2025.063657 - 28 April 2025

Abstract Stress is mental tension caused by difficult situations, often experienced by hospital workers and IT professionals who work long hours. It is essential to detect the stress in shift workers to improve their health. However, existing models measure stress with physiological signals such as PPG, EDA, and blink data, which could not identify the stress level accurately. Additionally, the works face challenges with limited data, inefficient spatial relationships, security issues with health data, and long-range temporal dependencies. In this paper, we have developed a federated learning-based stress detection system for IT and hospital workers, integrating… More >

Dristy Roy¹, Md. Zakarya Ibne Sayed², Durjay Mondal², Banosree Saha Bandhan³, Md. Maniruzzaman Bahadur¹, Md. Rabiul Islam¹, Ahmed Gaber⁴, Md. Parvez Kabir⁵, Akbar Hossain^5,*, Subrota Kumer Pramanik^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 763-779, 2025, DOI:10.32604/phyton.2025.062717 - 31 March 2025

Abstract The increasing frequency and intensity of drought caused by climate change necessitate the implementation of effective ways to increase the ability of wheat to withstand drought, with humic acid being a promising approach. Therefore, a pot experiment was conducted to determine the efficacy of exogenous humic acid on wheat under water deficit stress via a completely randomized design (CRD) with three replications. The impacts of four growing conditions, i.e., well water (65% field capacity), water deficit stress (35% field capacity), soil application of humic acid (44 mg kg⁻¹ soil) under water deficit stress and foliar feeding… More >

Hocine Bougrine^1,2, Salah Hadjout^1,*, Mohamed Zouidi¹, Abdeldjalil Belkendil¹, Amer Zeghmar¹, Chaouki Boulekdam¹, Walid Ouaret³, Walid Soufan⁴, Fathi Abdellatif Belhouadjeb⁵, Amar Mebarkia²

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 251-267, 2025, DOI:10.32604/phyton.2025.060096 - 24 January 2025

Abstract Salinity stress is a major challenge for global agriculture, particularly in arid and semi-arid regions, limiting plant productivity due to water and soil salinity. These conditions particularly affect countries along the southern Mediterranean rim, including Algeria, which primarily focuses on pastoral and forage practices. This study investigates salinity tolerance and ecotypic variability in Vicia narbonensis L., a fodder legume species recognized for its potential to reclaim marginal soils. Morphological, physiological, and biochemical responses were assessed in three ecotypes (eco2, eco9, and eco10) exposed to different salinity levels (low, moderate, and severe). The study was conducted using… More >

Marwa Rezgui^1,#,*, Wided Ben Ammar¹, Muhammad Nazim^2,3,#, Walid Soufan⁴, Chiraz Chaffei Haouari¹

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 137-155, 2025, DOI:10.32604/phyton.2025.058851 - 24 January 2025

Abstract Nickel (Ni) toxicity significantly impairs plant growth, photosynthesis, and metabolism by inducing oxidative stress. This study evaluates the potential of exogenous Alpha-Ketoglutarate (AKG) in mitigating Ni-induced stress in Peganum harmala L. Seedlings were exposed to 0, 200, 500, and 750 μM NiCl₂, with or without AKG supplementation. Under 750 μM Ni stress, dry weight (DW) decreased by 33.7%, tissue water content (TWC) by 39.9%, and chlorophyll a and total chlorophyll levels were reduced by 17% and 15%, respectively. Ni exposure also significantly increased secondary metabolite production, with leaf anthocyanin content rising by 131%, and superoxide dismutase (SOD)… More >