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  • Open Access

    ARTICLE

    Effect of Algae on Melon (Cucumis melo subsp. agrestis var. conomon) Growth and Development under Drought-Stress Conditions

    M. Zeki KARİPÇİN1, Behcet İNAL2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3177-3193, 2023, DOI:10.32604/phyton.2023.030979

    Abstract Due to climate change, it is necessary to develop plant varieties that are resilient to climate conditions and resistant to abiotic and biotic stresses. The use of microalgae, which are microorganisms that contain carbohydrates, proteins, lipids, and vitamins, against drought tolerance is a new approach. The aim of the current study was to determine the drought-related mechanisms in the conomon melon genotype and develop drought-tolerant melon cultivars. Morphological, physiological, pomological, and molecular analyses were carried out on the algae-treated genotypes. It has been determined that commercial algae application provides the best results in leaf temperature, leaf relative water contents (LRWC),… More >

  • Open Access

    REVIEW

    Applications of Microalgae in Five Areas of Biotechnology

    Héctor Alejandro Reza-Solis1, Ofelia Adriana Hernández-Rodríguez1,*, Andrés Francisco Martínez-Rosales2, Dámaris Leopoldina Ojeda-Barrios1

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2737-2759, 2023, DOI:10.32604/phyton.2023.029851

    Abstract Microalgae are mostly photoautotrophic microscopic organisms. According to their cellular structure, they are classified into two types, eukaryotes, and prokaryotes, and they are distributed in all types of ecosystems, presenting unique qualities due to the fact that they synthesize high value-added molecules used in various productive and environmental activities, and because their biomass is used as raw material to obtain various products. Therefore, the objective of this review was to collect, organize, and collate current information on the use of microalgae in the development of biotechnology involving the areas of agriculture, health, food, bioremediation, and biofuels. The results show that… More >

  • Open Access

    REVIEW

    Development of micro/nanostructured‒based biomaterials with biomedical applications

    AFAF ALHARTHI*

    BIOCELL, Vol.47, No.8, pp. 1743-1755, 2023, DOI:10.32604/biocell.2023.027154

    Abstract Natural biomaterials are now frequently used to build biocarrier systems, which can carry medications and biomolecules to a target region and achieve a desired therapeutic effect. Biomaterials and polymers are of great importance in the synthesis of nanomaterials. The recent studies have tended to use these materials because they are easily obtained from natural sources such as fungi, algae, bacteria, and medicinal plants. They are also biodegradable, compatible with neighborhoods, and non-toxic. Natural biomaterials and polymers are chemically changed when they are linked by cross linking agents with other polymers to create scaffolds, matrices, composites, and interpenetrating polymer networks employing… More >

  • Open Access

    ARTICLE

    A Novel Hybrid Model Based on Machine and Deep Learning Techniques for the Classification of Microalgae

    Volkan Kaya1, İsmail Akgül1, Özge Zencir Tanır2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2519-2534, 2023, DOI:10.32604/phyton.2023.029811

    Abstract Classification and monitoring of microalgae species in aquatic ecosystems are important for understanding population dynamics. However, manual classification of algae is a time-consuming method and requires a lot of effort with expertise due to the large number of families and genera in its classification. The recognition of microalgae species has become an increasingly important research area in image recognition in recent years. In this study, machine learning and deep learning methods were proposed to classify images of 12 different microalgae species in order to successfully classify algae cells. 8 Different novel models (MobileNetV3Small-Lr, MobileNetV3SmallRf, MobileNetV3Small-Xg, MobileNetV3Large-Lr, MobileNetV3Large-Rf, MobileNetV3Large-Xg, MobileNetV3Small-Improved and… More >

  • Open Access

    ARTICLE

    Feature Fusion Based Deep Transfer Learning Based Human Gait Classification Model

    C. S. S. Anupama1, Rafina Zakieva2, Afanasiy Sergin3, E. Laxmi Lydia4, Seifedine Kadry5,6,7, Chomyong Kim8, Yunyoung Nam8,*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1453-1468, 2023, DOI:10.32604/iasc.2023.038321

    Abstract Gait is a biological typical that defines the method by that people walk. Walking is the most significant performance which keeps our day-to-day life and physical condition. Surface electromyography (sEMG) is a weak bioelectric signal that portrays the functional state between the human muscles and nervous system to any extent. Gait classifiers dependent upon sEMG signals are extremely utilized in analysing muscle diseases and as a guide path for recovery treatment. Several approaches are established in the works for gait recognition utilizing conventional and deep learning (DL) approaches. This study designs an Enhanced Artificial Algae Algorithm with Hybrid Deep Learning… More >

  • Open Access

    ARTICLE

    Experimental Study of Microalgae Cultivation under Selective Illumination by Ag/CoSO4 for Bioelectrode Materials Preparation

    Kai Zhu1, Hao Chen1,*, Shuang Wang1,*, Chuan Yuan1,2, Bin Cao3, Jun Ni1, Lujiang Xu4, Anqing Zheng5, Arman Amani Babadi1

    Journal of Renewable Materials, Vol.11, No.6, pp. 2849-2864, 2023, DOI:10.32604/jrm.2023.026317

    Abstract Microalgae biomass is an ideal precursor to prepare renewable carbon materials, which has broad application. The bioaccumulation efficiency (lipids, proteins, carbohydrates) and biomass productivity of microalgae are influenced by spectroscopy during the culture process. In this study, a bilayer plate-type photobioreactor was designed to cultivate Chlorella protothecoides with spectral selectivity by nanofluids. Compared to culture without spectral selectivity, the spectral selectivity of Ag/CoSO4 nanofluids increased microalgae biomass by 5.76%, and the spectral selectivity of CoSO4 solution increased by 17.14%. In addition, the spectral selectivity of Ag/CoSO4 nanofluids was more conducive to the accumulation of nutrients (29.46% lipids, 50.66% proteins, and… More > Graphic Abstract

    Experimental Study of Microalgae Cultivation under Selective Illumination by Ag/CoSO<sub>4</sub> for Bioelectrode Materials Preparation

  • Open Access

    ARTICLE

    Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection

    Khaled M. Alalayah1, Fatma S. Alrayes2, Mohamed K. Nour3, Khadija M. Alaidarous1, Ibrahim M. Alwayle1, Heba Mohsen4, Ibrahim Abdulrab Ahmed5, Mesfer Al Duhayyim6,*

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3103-3119, 2023, DOI:10.32604/csse.2023.034034

    Abstract Malware is a ‘malicious software program that performs multiple cyberattacks on the Internet, involving fraud, scams, nation-state cyberwar, and cybercrime. Such malicious software programs come under different classifications, namely Trojans, viruses, spyware, worms, ransomware, Rootkit, botnet malware, etc. Ransomware is a kind of malware that holds the victim’s data hostage by encrypting the information on the user’s computer to make it inaccessible to users and only decrypting it; then, the user pays a ransom procedure of a sum of money. To prevent detection, various forms of ransomware utilize more than one mechanism in their attack flow in conjunction with Machine… More >

  • Open Access

    ARTICLE

    Artificial Algae Optimization with Deep Belief Network Enabled Ransomware Detection in IoT Environment

    Mesfer Al Duhayyim1,*, Heba G. Mohamed2, Fadwa Alrowais3, Fahd N. Al-Wesabi4, Anwer Mustafa Hilal5, Abdelwahed Motwakel5

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1293-1310, 2023, DOI:10.32604/csse.2023.035589

    Abstract The Internet of Things (IoT) has gained more popularity in research because of its large-scale challenges and implementation. But security was the main concern when witnessing the fast development in its applications and size. It was a dreary task to independently set security systems in every IoT gadget and upgrade them according to the newer threats. Additionally, machine learning (ML) techniques optimally use a colossal volume of data generated by IoT devices. Deep Learning (DL) related systems were modelled for attack detection in IoT. But the current security systems address restricted attacks and can be utilized outdated datasets for evaluations.… More >

  • Open Access

    ARTICLE

    Revalorisation of Posidonia Oceanica as Reinforcement in Polyethylene/Maleic Anhydride Grafted Polyethylene Composites

    D. Puglia*, R. Petrucci, E. Fortunati, F. Luzi, J.M. Kenny, L. Torre

    Journal of Renewable Materials, Vol.2, No.1, pp. 66-76, 2014, DOI:10.7569/JRM.2013.634134

    Abstract Posidonia Oceanica waste was used as reinforcement in a polyethylene matrix and the obtained composites were characterised by a tensile test and morphological analysis. The fi brous material derived from P. Oceanica wastes was characterised by morphological, thermal and chemical analysis, and a subsequent treatment with sodium hydroxide (NaOH) at different weight content (2, 5 and 10 wt%) was considered as an optimised method for surface modifi cation of pristine fi bres (PO). The TGA analysis and morphological investigation of the treated fi bres selected the 5 wt% of NaOH as the best treatment. Matrix compatibilisation with maleic anhydride grafted… More >

  • Open Access

    ARTICLE

    Microalgae Improve the Photosynthetic Performance of Rice Seedlings (Oryza sativa L.) under Physiological Conditions and Cadmium Stress

    Ekaterina Yotsova1, Martin Stefanov1, Georgi Rashkov1, Margarita Kouzmanova2, Anelia Dobrikova1, Emilia Apostolova1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1365-1380, 2022, DOI:10.32604/phyton.2022.020566

    Abstract The aim of this study was to assess the impact of the microalgae Chlorella vulgaris on the rice seedlings at physiological conditions and under cadmium (Cd) stress. We examined the effects of C. vulgaris in the nutrient solution on rice seedlings grown hydroponically in the presence and the absence of 150 μM CdCl2, using the low (77 K) temperature and pulse amplitude modulated (PAM) chlorophyll fluorescence, P700 photooxidation measurements, photochemical activities of both photosystems, kinetic parameters of oxygen evolution, oxidative stress markers (MDA, H2O2 and proline), pigment content, growth parameters and Cd accumulation. Data revealed that the application C. vulgaris not… More >

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