Victor Kozlov^1,*, Alsu Zimasova¹, Nikolai Kozlov²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2693-2707, 2024, DOI:10.32604/fdmp.2024.052398 - 23 December 2024

Abstract The behavior of a viscous liquid film on the wall of a rapidly rotating cylinder subjected to angular vibrations is experimentally studied. The cavity is filled with an immiscible low-viscosity liquid of lower density. In the absence of vibrations, the high viscosity liquid covers the inner surface of the cylinder with a relatively thin axisymmetric film; the low-viscosity liquid is located in the cavity interior. It is found that with an increase in the amplitude of rotational vibrations, the axisymmetric interphase boundary loses stability. An azimuthally periodic 2D “frozen wave” appears on the film surface… More >

Rūdolfs Bērziņš^*, Aigars Pāže, Guntis Sosins, Daniela Godiņa, Laima Vēvere, Jānis Rižikovs

Journal of Renewable Materials, Vol.12, No.12, pp. 2095-2113, 2024, DOI:10.32604/jrm.2024.056769 - 20 December 2024

Abstract Birch outer bark (BOB) from Betula pendula Roth. is a unique and valuable biomass feedstock that contains suberin. The biopolyester suberin is built from bifunctional fatty acids-suberinic acids (SA)-which can be obtained through a depolymerization process in an alkaline medium and used as a binder due to their adhesive properties. The aim of this study was to develop the SA-containing binder and identify suitable pressing conditions to produce plywood that meets the shear strength requirements of the EN 314-2 standard 3rd moisture resistance class for bonding quality, ensuring durability in unprotected exterior conditions (shear strength ≥… More > Graphic Abstract

Ammar Odeh^*, Anas Abu Taleb

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4149-4169, 2024, DOI:10.32604/cmc.2024.058052 - 19 December 2024

Abstract The proliferation of Internet of Things (IoT) technology has exponentially increased the number of devices interconnected over networks, thereby escalating the potential vectors for cybersecurity threats. In response, this study rigorously applies and evaluates deep learning models—namely Convolutional Neural Networks (CNN), Autoencoders, and Long Short-Term Memory (LSTM) networks—to engineer an advanced Intrusion Detection System (IDS) specifically designed for IoT environments. Utilizing the comprehensive UNSW-NB15 dataset, which encompasses 49 distinct features representing varied network traffic characteristics, our methodology focused on meticulous data preprocessing including cleaning, normalization, and strategic feature selection to enhance model performance. A robust… More >

Oleh Koshovyi^1,2,*, Janne Sepp¹, Valdas Jakštas³, Vaidotas Žvikas³, Karina Tolmacheva⁴, Igor Kireyev⁴, Jyrki Heinämäki¹, Ain Raal^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2909-2925, 2024, DOI:10.32604/phyton.2024.056536 - 30 November 2024

Abstract Pineappleweed (Matricaria discoidea DC., Asteraceae) herb is an essential oil containing raw material with spasmolytic and anti-inflammatory activity. It is also rich in phenolics, which may be used in pharmaceutical practice. This study aimed to investigate the phenolic and amino acid composition and the hyporific and analgesic effects of the M. discoidea aqueous-ethanolic extract and its amino acid modifications. In addition, we developed a polyethylene oxide gel formulation with M. discoidea extracts for the 3D-printed oral solid dosage preparations. In M. discoidea extracts, 16 phenolic substances and 14 amino acids were established. The extract and its amino acid preparations More >

Aijia Ding, Tingzhang Liu^*

Energy Engineering, Vol.121, No.12, pp. 3735-3759, 2024, DOI:10.32604/ee.2024.054687 - 22 November 2024

Abstract The primary factor contributing to frequency instability in microgrids is the inherent intermittency of renewable energy sources. This paper introduces novel dual-backup controllers utilizing advanced fractional order proportional integral derivative (FOPID) controllers to enhance frequency and tie-line power stability in microgrids amid increasing renewable energy integration. To improve load frequency control, the proposed controllers are applied to a two-area interconnected microgrid system incorporating diverse energy sources, such as wind turbines, photovoltaic cells, diesel generators, and various storage technologies. A novel meta-heuristic algorithm is adopted to select the optimal parameters of the proposed controllers. The efficacy… More >

Laura Schianchi^1,*, Fabrizio Vaira², Massimo Chessa^1,3, Serena Francesca Flocco⁴, Arianna Magon⁴, Gianluca Conte⁴, Karina Geraldina Zuniga Olaya⁵, Giacomo Bortolussi⁶, Erika Cioffi¹, Matteo Riccardo Di Nicola², Santo Raffaele Mercuri², Rosario Caruso^4,7

Congenital Heart Disease, Vol.19, No.4, pp. 363-374, 2024, DOI:10.32604/chd.2024.053999 - 31 October 2024

Abstract Background: Hypertrophic scars and keloids, common complications following median sternotomy for cardiac surgery, significantly impact patient quality of life due to their aesthetic and symptomatic burden. Recent advancements in laser therapy have made it a prominent option for managing these complex scars, yet a comprehensive understanding of its efficacy is lacking. The aim of this scoping review is to explore the effects of laser therapy in managing hypertrophic scars and keloids after median sternotomy. Methods: This scoping review analyzed studies up to February 2024 from databases including PubMed, EMBASE, CINAHL, Scopus, Web of Science, and… More >

Rasha Almarshdi^1,2,*, Etimad Fadel¹, Nahed Alowidi¹, Laila Nassef¹

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 949-983, 2024, DOI:10.32604/iasc.2024.056792 - 31 October 2024

Abstract The Internet of Medical Things (IoMT) is one of the critical emerging applications of the Internet of Things (IoT). The huge increases in data generation and transmission across distributed networks make security one of the most important challenges facing IoMT networks. Distributed Denial of Service (DDoS) attacks impact the availability of services of legitimate users. Intrusion Detection Systems (IDSs) that are based on Centralized Learning (CL) suffer from high training time and communication overhead. IDS that are based on distributed learning, such as Federated Learning (FL) or Split Learning (SL), are recently used for intrusion… More >

Denis Miroshnichenko¹, Vladimir Lebedev², Katerina Lebedeva², Аnna Cherkashina², Sergey Petrushenko^3,4,*, Olena Bogoyavlenska¹, Аnzhela Olkhovska⁵, Ihor Hrubnyk⁶, Liudmyla Maloshtan⁶, Natalja Klochko⁷

Journal of Renewable Materials, Vol.12, No.10, pp. 1691-1713, 2024, DOI:10.32604/jrm.2024.054769 - 23 October 2024

Abstract The main goal of the article is the creation and study of thermosensitive and wound-healing gelatin-alginate biopolymer hydrogels modified with humic acids. Their rheological properties, swelling and contraction behavior were experimentally investigated, elucidated using Fourier transform infrared spectroscopy and used to achieve the physiological melting point, which is necessary for successful drug delivery. It has been shown that in the gelatin-alginate-humic acid biopolymer hydrogels systems, it is possible to obtain a gel-sol transition temperature close to the physiological temperature of 37°C, which is important for drug delivery in the treatment of wounds. By changing the… More > Graphic Abstract

Guo Zhao^1,2, Chi Zhang^1,2,*, Qiyuan Ren^1,2

Energy Engineering, Vol.121, No.11, pp. 3355-3379, 2024, DOI:10.32604/ee.2024.053130 - 21 October 2024

Abstract In the context of China’s “double carbon” goals and rural revitalization strategy, the energy transition promotes the large-scale integration of distributed renewable energy into rural power grids. Considering the operational characteristics of rural microgrids and their impact on users, this paper establishes a two-layer scheduling model incorporating flexible loads. The upper-layer aims to minimize the comprehensive operating cost of the rural microgrid, while the lower-layer aims to minimize the total electricity cost for rural users. An Improved Adaptive Genetic Algorithm (IAGA) is proposed to solve the model. Results show that the two-layer scheduling model with More >

Arkan Kh Shakr Sabonchi^*

Journal on Artificial Intelligence, Vol.6, pp. 261-282, 2024, DOI:10.32604/jai.2024.056552 - 18 October 2024

Abstract The phenomenal increase in device connectivity is making the signaling and resource-based operational integrity of networks at the node level increasingly prone to distributed denial of service (DDoS) attacks. The current growth rate in the number of Internet of Things (IoT) attacks executed at the time of exchanging data over the Internet represents massive security hazards to IoT devices. In this regard, the present study proposes a new hybrid optimization technique that combines the firefly optimization algorithm with global searches for use in attack detection on IoT devices. We preprocessed two datasets, CICIDS and UNSW-NB15,… More >