Jin Kuang¹, Jeffrey Jensen Arnett², Erle Chen³, Zsolt Demetrovics^4,5, Fabian Herold⁶, Rebecca Y. M. Cheung⁷, Daniel L. Hall⁸, Michaela Markwart⁸, Markus Gerber⁹, Sebastian Ludyga⁹, Arthur F. Kramer^10,11, Liye Zou^1,*

International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.029187

Abstract Emerging adulthood (EA) is a critical stage of life to develop and sustain a healthy lifestyle, which is also a time of vulnerability to poor physical and mental health outcomes. In this study, we conducted a path analysis (N = 1326) to examine associations among four dimensions of EA, levels of regular physical activity (PA), self-control, MPA tendency and irrational procrastination. Results found: 1) higher levels of PA predicted both MPA tendency (β = −0.08, 95% CI: −0.11 to −0.06, p < 0.001) and irrational procrastination (β = −0.01, 95% CI: −0.17 to −0.008, p < 0.01) indirectly via self-control;… More >

Ali S. Alghamdi¹, Mohana Alanazi², Abdulaziz Alanazi³, Yazeed Qasaymeh^1,*, Muhammad Zubair^1,4, Ahmed Bilal Awan⁵, M. G. B. Ashiq⁶

CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.029453

Abstract To maximize energy profit with the participation of electricity, natural gas, and district heating networks in the day-ahead market, stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources, has been carried out. This has been done using a new meta-heuristic algorithm, improved artificial rabbits optimization (IARO). In this study, the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method (TPEM). The IARO algorithm is applied to calculate the best capacity of hub energy equipment, such as solar and wind renewable energy sources, combined heat and power (CHP) systems, steam… More >

Volkan Kaya¹, İsmail Akgül¹, Özge Zencir Tanır^2,*

Phyton-International Journal of Experimental Botany, Vol., , 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 >

Bengang Zhang^1,*, Antonio Pizzi^2,*, Mathieu Petrissans¹, Anelie Petrissans¹, Colin Baptiste¹

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.029761

Abstract Aminated tannins were prepared by reacting mimosa condensed tannin extract with ammonia yielding the substitution of many, if not all of the tannin hydroxyl groups with –NH₂ groups. A tannin-aminated tannin (ATT) particleboard coating was then prepared by reacting raw tannin extract with aminated tannin extract and thus cross-liking the two by substituting tannin’s hydroxyl groups with the –NH₂ groups on the aminated tannin to form –NH-bridges between the two. The resulting particleboard coating gave encouraging results when pressed at 180°C for 3 min. Conversely, the system in which tannin was reacted/cross-liked with urea (ATU) by a similar amination reaction… More >

Fatemeh Rezaei^1,2,*, Milan Gaff^1,3,4,*, Róbert Nemeth⁵, Jerzy Smardzewski⁶, Peter Niemz⁷, Haitao Li^8,9, Anil Kumar Sethy^1,10, Luigi Todaro¹¹, Gourav Kamboj¹, Sumanta Das¹, Roberto Corleto¹, Gianluca Ditommaso¹, Miklós Bak⁵

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028352

Abstract The performance of engineered wood products is highly associated with proper bonding and an efficient cutting method. This paper investigates the influence of CO₂ laser cutting on the wetting properties, the modified chemical component of the laser-cut surface, and the strength and adhesive penetration near the bondline. Beechwood is cut by the laser with varying processing parameters, cutting speeds, gas pressures, and focal point positions. The laser-cut samples were divided into two groups, sanded and non-sanded samples. Polyvinyl acetate adhesive (PVAc) was used to bond the groups of laser-cut samples. After assembly with cold pressing, the tensile shear test was… More >

Okba Taouali^1,*, Sawcen Bacha², Khaoula Ben Abdellafou¹, Ahamed Aljuhani¹, Kamel Zidi³, Rehab Alanazi¹, Mohamed Faouzi Harkat⁴

Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2023.039984

Abstract Introducing IoT devices to healthcare fields has made it possible to remotely monitor patients’ information and provide a proper diagnosis as needed, resulting in the Internet of Medical Things (IoMT). However, obtaining good security features that ensure the integrity and confidentiality of patient’s information is a significant challenge. However, due to the computational resources being limited, an edge device may struggle to handle heavy detection tasks such as complex machine learning algorithms. Therefore, designing and developing a lightweight detection mechanism is crucial. To address the aforementioned challenges, a new lightweight IDS approach is developed to effectively combat a diverse range… More >

Popuri Srinivasarao, Aravapalli Rama Satish^*

Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2023.038951

Abstract Responding to complex analytical queries in the data warehouse (DW) is one of the most challenging tasks that require prompt attention. The problem of materialized view (MV) selection relies on selecting the most optimal views that can respond to more queries simultaneously. This work introduces a combined approach in which the constraint handling process is combined with metaheuristics to select the most optimal subset of DW views from DWs. The proposed work initially refines the solution to enable a feasible selection of views using the ensemble constraint handling technique (ECHT). The constraints such as self-adaptive penalty, epsilon (ε)-parameter and stochastic… More >

Huaxiang Song^*

Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.039315

Abstract Recently, the convolutional neural network (CNN) has been dominant in studies on interpreting remote sensing images (RSI). However, it appears that training optimization strategies have received less attention in relevant research. To evaluate this problem, the author proposes a novel algorithm named the Fast Training CNN (FST-CNN). To verify the algorithm’s effectiveness, twenty methods, including six classic models and thirty architectures from previous studies, are included in a performance comparison. The overall accuracy (OA) trained by the FST-CNN algorithm on the same model architecture and dataset is treated as an evaluation baseline. Results show that there is a maximal OA… More >

Jinshuo Wang, Lida Xing, Fulong Zhang, Chuanfu Liu^*

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.029057

Abstract Wood-based functional materials have developed rapidly. But the flammability significantly limits its further application. To improve the flame retardancy, the balsa wood was delignified by NaClO₂ solution to create a cellulose scaffold, and then alternately immersed in CaCl₂ ethanol solution and NaHCO₃ aqueous solution under vacuum. The high porosity and wettability resulting from delignification benefited the following mineralization process, changing the thermal properties of balsa wood significantly. The organic-inorganic wood composite showed abundant CaCO₃ spherical particles under scanning electron microscopy. The peak of the heat release rate of delignified balsa-CaCO₃ was reduced by 33% compared to the native balsa, according… More > Graphic Abstract

Cut Rahmawati^1,2,*, Lia Handayani³, Muhtadin⁴, Muhammad Faisal⁴, Muhammad Zardi¹, S. M. Sapuan⁵, Agung Efriyo Hadi⁶, Jawad Ahmad⁷, Haytham F. Isleem⁸

Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.028987

Abstract Waste Glass (WGs) and Coir Fiber (CF) are not widely utilized, even though their silica and cellulose content can be used to create construction materials. This study aimed to optimize mortar compressive strength using Response Surface Methodology (RSM). The Central Composite Design (CCD) was applied to determine the optimization of WGs and CF addition to the mortar compressive strength. Compressive strength and microstructure testing with Scanning Electron Microscope (SEM), Fourier-transform Infrared Spectroscopy (FT-IR), and X-Ray Diffraction (XRD) were conducted to specify the mechanical ability and bonding between the matrix, CF, and WGs. The results showed that the chemical treatment of… More >