Article
Materials Science, Paper & Wood
Meng-hang Gao, Xu Xie, Ting Huang, Nan Zhang, Yong Wang
Summary: In this study, a glutaraldehyde-assisted crosslinking strategy was developed to prepare crosslinked regenerated cellulose (CRC) films, and the effects of different crosslinking methods on the dielectric and mechanical properties of the films were investigated. The CRC films showed reduced defects and enhanced intermolecular interaction compared to common RC films. With a glutaraldehyde concentration of 6 vol% and a crosslinking time of 30 min, the CRC film exhibited the lowest dielectric loss and the highest breakdown strength, as well as high tensile strength and excellent tensile modulus. This work provides new insights for tailoring the properties of cellulose films and has significant implications for the fabrication of high-performance cellulose-based dielectric materials.
Article
Biochemistry & Molecular Biology
Francisco A. G. Soares Silva, Frank Meister, Fernando Dourado, Miguel Gama
Summary: Due to the global shortage of cotton, the textile industry is searching for sustainable alternatives and developing sustainable recycling processes. The combination of bacterial cellulose (BC) and cellulose filaments with low degree of polymerization (DP) has been found to improve the mechanical properties of the fibers.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Materials Science, Paper & Wood
Changkun Ding, Chengfei Yue, Jieliang Su, Hua Wang, Ning Yang, Bowen Cheng
Summary: This study successfully improved the mechanical properties of regenerated collagen fibers using oxidized cellulose nanocrystals (oCNCs). oCNCs induced collagen microfibril orientation during fiber formation and interacted with collagen molecules through stronger hydrogen bonds and electrostatic interactions, resulting in enhanced tensile strength, toughness, and thermal stability of collagen composite fibers.
Article
Engineering, Manufacturing
Christian Kahl, Nicole Gemmeke, Julius Bagnucki, Hans-Peter Heim
Summary: The mechanical properties of fiber-reinforced compounds are influenced by factors such as fiber orientation, length, type, and bonding to the polymer. Adhesion between fibers and polymers can be increased through treatment, but excessive thermal and UV treatment can degrade the fiber structure and reduce the reinforcing effect.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2022)
Article
Chemistry, Physical
Weizhi Zhu, Jilun Guan, Wenjing Li, Huayang Fang, Mei He, Jianping Sun, Yiqiang Wu, Yanqiu Zhu, Fangchao Cheng
Summary: The dissolution of cellulose allows for a wider range of processing properties and enhances its advantages as a basic material. However, its unsatisfactory mechanical performance and functionality limit its practical application. This study developed a molecular orientation strategy to obtain high-performance cellulose films with improved mechanical and optical properties.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2023)
Article
Polymer Science
Peerapat Thongnuek, Sorada Kanokpanont, Pimpon Uttayarat, Siriporn Damrongsakkul
Summary: Gamma irradiation was used to induce the hydrogelation of silk fibroin, and the characteristics of the irradiation-induced hydrogels were investigated. The irradiation-induced hydrogels exhibited better thermal stability and contained more random coil structures and fewer beta-sheet structures. This finding suggests that the gelation mechanism induced by gamma irradiation may differ from the established mechanism. The study also demonstrates that gamma irradiation can be used as an alternative method to produce chemical-free, random coil-rich, and sterilized silk fibroin hydrogels for biomedical applications.
Article
Chemistry, Physical
Florin Ciuprina, Denis Mihaela Panaitescu, Laura Enache, Celina Maria Damian, Ramona Marina Grigorescu, Augusta Raluca Gabor, Cristian Andi Nicolae, Cristina Lavinia Nistor, Roxana Trusca
Summary: This paper studies the control, improvement, and correlation of the mechanical and dielectric properties of SEBS and SEBS-MA by using graphite as filler in various concentrations. The results show that the real permittivity increases exponentially with the concentration of graphite, and the dielectric losses are low with high stability at high graphite content. Additionally, an increase in graphite content also leads to an increase in the mechanical stiffness of the composites.
Article
Engineering, Environmental
Lei Hu, Yi Zhong, Shuangquan Wu, Pingdong Wei, Junchao Huang, Duoduo Xu, Lina Zhang, Qifa Ye, Jie Cai
Summary: The study developed a double cross-linking strategy to fabricate 3D structured regenerated cellulose with improved toughness and moldability. Water molecules can regulate the hydrogen bond interaction between cellulose chains, enabling the material to have three-dimensional moldability.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Chemistry, Physical
Jiacheng He, Yanan Yin, Menghan Xu, Peng Wang, Zhibo Yang, Quanling Yang, Zhuqun Shi, Chuanxi Xiong
Summary: The study successfully prepared regenerated cellulose/NaNbO3 nanowires dielectric composite films with high energy density and excellent mechanical properties, while maintaining high efficiency and thermal stability.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Jinling Li, Shan Lu, Fei Liu, Qian Quo, Haining Na, Jin Zhu
Summary: The study successfully utilized a CO2 switchable solvent to prepare regenerated cellulose fibers, replacing the traditional viscose process. The results showed that under mild conditions, regenerated cellulose fibers with smoother surface morphology, higher crystallinity, and satisfactory mechanical properties were obtained.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Materials Science, Multidisciplinary
Kai Li, Xin Chen, Yingchao Wang, Bin Sun, Ziting Yuan, Yuxin Liu
Summary: Cellulose microgels have a multiscale structure and can serve as a promising reinforcing agent and gelator for soft matter, with tunable mechanical properties by adjusting the microstructure, as demonstrated in a proof of concept work that shows their potential use in 3D printing of soft matter or as a rheological modifier.
ACS APPLIED POLYMER MATERIALS
(2021)
Article
Chemistry, Applied
Yu Tian, Mi Zhou, Ting Luo, Puxin Zhu, Fei Cheng, Yong Zhang, Yi Lin
Summary: The research demonstrated a novel and ecofriendly method for producing regenerated starch/microfibrillated cellulose composite films with significantly improved mechanical properties. The composite films showed a nearly 1.4-fold improvement in tensile strength and enhanced elongation at break, attributed to the adequate dispersion, lower crystallinity, and smaller crystal grain size of the materials.
Article
Agricultural Engineering
Xiaodi Huang, Yunzhong Ji, Lukuan Guo, Qinghua Xu, Liqiang Jin, Yingjuan Fu, Yulu Wang
Summary: In this study, novel tannin-cellulose films with high antioxidant and mechanical properties were prepared for sustainable active food packaging. The films covalently bonded tannin onto the cellulose matrix, exhibiting high antioxidant and UV blocking properties. Meanwhile, the addition of tannin improved the hydrophobicity and water vapor barrier properties of the films.
INDUSTRIAL CROPS AND PRODUCTS
(2022)
Review
Materials Science, Multidisciplinary
Hao Shen, Tingyu Sun, Jinping Zhou
Summary: Cellulose, the most abundant and green biomass resource on earth, has gained significant attention as an alternative to traditional chemical and petroleum resources. This review discusses the various solvents used in industrial processes, including traditional solvents, non-derivative organic solvents, and aqueous solution systems, as well as their dissolution mechanisms and advancements in fiber-spinning processes. The challenges associated with industrial production of viscose fibers and cuprammonium fibers are also addressed. The focus of this paper is on the research status of regenerated cellulose fibers (RCFs) prepared using environmentally friendly and non-polluting aqueous solutions, and it provides strategies and methods for improving the mechanical strength of RCFs and facilitating industrial production. Finally, the current developments of RCFs are summarized and future research directions are proposed, serving as a guide for the future trends in RCFs.
MACROMOLECULAR MATERIALS AND ENGINEERING
(2023)
Article
Biochemistry & Molecular Biology
Yu-qing Zhang, Jun Li, Xiao-juan Huang, Cai-xia Yang, Chao Wu, Zai-lei Yang, De-qiang Li
Summary: This study developed an eco-friendly food packaging material using regenerated cellulose films with the addition of grape seed extract (GSE) and polyethylene glycol 200 (PEG). The composite film showed improved mechanical properties, water contact angle, UV-blocking properties, and exhibited color changes under different pH conditions. Furthermore, the addition of GSE delayed the decomposition and biodegradation of strawberries. This research demonstrates the potential of regenerated cellulose film as a color sensor in food packaging.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Computer Science, Artificial Intelligence
Jianfeng Cui, Lixin Wang, Xiangmin He, Victor Hugo C. De Albuquerque, Salman A. AlQahtani, Mohammad Mehedi Hassan
Summary: Feature extraction plays a crucial role in arrhythmia classification. This paper presents a feature extraction method that combines traditional approaches and 1D-CNN to improve the accuracy of arrhythmia classification. Experimental results show that the proposed method achieves an average classification accuracy of 98.35%, surpassing the latest methods.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Civil
Peng Xu, Ke Wang, Mohammad Mehedi Hassan, Chien-Ming Chen, Weiguo Lin, Md Rafiul Hassan, Giancarlo Fortino
Summary: This paper employs a One-Shot Neural Architecture Search (NAS) to generate derivative models with different scales and studies the relationship between network sizes and model robustness. The experimental results show that reducing model parameters can increase model robustness under maximum adversarial attacks, while increasing model parameters can enhance model robustness under minimum adversarial attacks. This analysis helps to understand the adversarial robustness of models with different scales for edge AI transportation systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Analytical
Najmath Ottakath, Somaya Al-Maadeed
Summary: Vehicle identification and re-identification is crucial for traffic surveillance. Computer vision techniques like vehicle segmentation, make and model classification, and license plate detection enable automated surveillance. Instance segmentation is used to uniquely represent each vehicle on the road by extracting the region of interest. By segmenting the frontal part of the vehicle, the make and license plate can be identified. The study utilizes the state-of-the-art maskRCNN method to achieve the best performing model and evaluates data augmentation techniques for improved dataset generalization. The results show significant improvements in classification accuracy and mAP compared to previous approaches.
Review
Chemistry, Multidisciplinary
Anila Sebastian, Omar Elharrouss, Somaya Al-Maadeed, Noor Almaadeed
Summary: Diabetes is a global problem that can affect people of all ages. Diabetic retinopathy (DR) is a major eye condition resulting from diabetes, which, if not detected and treated in time, can lead to vision loss. Manual examination by experts is currently the time-consuming process of detecting and monitoring DR. The identification of retinal vasculature, as well as segmentation of the optic disc (OD)/fovea, plays a crucial role in DR detection. Advancements in artificial intelligence (AI) and specifically in deep learning (DL) have led to their widespread use in DR-related studies. In this study, we review the latest literature on DR segmentation and lesion detection from fundus images using DL.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Hanadi Hassen Mohammed, Omar Elharrouss, Najmath Ottakath, Somaya Al-Maadeed, Muhammad E. H. Chowdhury, Ahmed Bouridane, Susu M. M. Zughaier
Summary: This study evaluates the performance of four recent deep learning models in segmenting the intima-media complex using ultrasound images. The self-ONN model outperforms the conventional CNN-based model, while the pixel difference and transformer-based models achieve the best segmentation performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Jezia Zakraoui, Moutaz Saleh, Somaya Al-Maadeed, Jihad Mohamad Alja'am
Summary: Generating automatic visualization from natural language texts is important for language learning and literacy development. However, translating text into coherent visualizations is challenging. To address this, we proposed a robust story visualization pipeline that includes NLP, relation extraction, image sequence generation, and alignment. Our preliminary results show effectiveness, and further enhancements can be made.
APPLIED SCIENCES-BASEL
(2023)
Article
Infectious Diseases
Denise Bellisario, Loredana Santo, Fabrizio Quadrini, Maryam Hassiba, Nour Bader, Shazeda H. Chowdhury, Mohammad K. Hassan, Susu M. Zughaier
Summary: The development of biocompatible nanomaterials is crucial for prosthetics and medical applications. This study focused on the development of nanoparticles with cytotoxicity and antibiofilm properties. New polymer nanocomposites (PNCs) containing ultra-low amounts of silver nanoplates were tested, showing antibiofilm activity without inhibiting bacterial growth or causing cytotoxicity or significant immune response.
Article
Medicine, General & Internal
Naima Nasrin Nisha, Kanchon Kanti Podder, Muhammad E. H. Chowdhury, Mamun Rabbani, Md. Sharjis Ibne Wadud, Somaya Al-Maadeed, Sakib Mahmud, Amith Khandakar, Susu M. Zughaier
Summary: Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can monitor blood flow in the brain. This study proposes a classification model based on TCD ultrasound signals to distinguish healthy subjects from critically ill subjects for early detection of neurological diseases. The model achieves high classification accuracy using a deep learning approach.
Review
Social Sciences, Interdisciplinary
Yassine Himeur, Somaya Al-Maadeed, Iraklis Varlamis, Noor Al-Maadeed, Khalid Abualsaud, Amr Mohamed
Summary: This paper reviews the progress in face mask detection research, with a focus on deep learning and deep transfer learning techniques. It first describes and discusses existing face mask detection datasets, then presents recent advances in object detectors and Convolutional Neural Network architectures, as well as the different deep learning techniques that have been applied. Benchmarking results are summarized, and the limitations of datasets and methodologies are discussed. Lastly, future research directions are discussed in detail.
Review
Environmental Sciences
Mithra Geetha, Sumalatha Bonthula, Somaya Al-Maadeed, Hamad Al-Lohedan, Jothi Ramalingam Rajabathar, Selvaraj Arokiyaraj, Kishor Kumar Sadasivuni
Summary: Numerous conventional methods are available for analyzing various water quality parameters to determine the water quality index. Ongoing surveillance is necessary for large bodies of water to support a robust surface and groundwater ecosystem. This review paper provides an overview of water quality monitoring, modeling, numerous sensors used, and various artificial intelligence approaches to predict the water quality index.
Review
Medicine, General & Internal
Najmath Ottakath, Somaya Al-Maadeed, Susu M. Zughaier, Omar Elharrouss, Hanadi Hassen Mohammed, Muhammad E. H. Chowdhury, Ahmed Bouridane
Summary: This paper presents a comprehensive review of ultrasound image analysis methods for detecting and characterizing plaque buildup in the carotid artery. It includes an in-depth analysis of datasets, image segmentation techniques, and plaque measurement, characterization, classification, and grading using deep learning and machine learning. The paper also provides an overview of the performance of these methods, challenges in analysis, and future directions for research.
Article
Biochemistry & Molecular Biology
Omnya Abdala, Ahmed Nabeeh, Abdul Rehman, Ahmed Abdel-Wahab, Mohammad K. Hassan, Ahmed Abdala
Summary: This article enhances the performance of Polysulfone (PSF) mixed matrix membranes (MMMs) by incorporating different concentrations of thermally reduced graphene (TRG) nanofillers. The impact of TRG loading on the characteristics of the membrane was analyzed, and the PSF-TRG MMMs showed improved hydrophilicity, porosity, and mechanical properties. The MMMs also demonstrated superior performance in oil-water separation and air dehumidification applications.
Article
Computer Science, Information Systems
Younes Akbari, Al Anood Najeeb, Somaya Al Maadeed, Omar Elharrouss, Fouad Khelifi, Ashref Lawgaly
Summary: The advancement of Internet technology has greatly impacted daily life, with digital videos from smartphones being the most popular form of multimedia. These videos are extensively shared on various social media platforms. The credibility, reliability, and integrity of these videos have become major concerns. This paper presents a dataset of video forgeries, specifically copy-move forgeries, where objects are inserted or deleted from original videos without detection. The dataset includes videos from five different mobile devices and experiments are conducted using classical and deep learning methods.
Article
Engineering, Civil
Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi, Sahil Garg, Mohammad Mehedi Hassan
Summary: The recent growth of IoT technologies in the maritime industry has digitalized Maritime Transportation Systems (MTS), but also introduced cybersecurity threats. Cyber Threat Intelligence (CTI) is an effective security strategy, but existing solutions have low detection rates and high false alarm rates. To address these challenges, an automated framework called DLTIF has been proposed, which can accurately identify threat types.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Xiaoding Wang, Sahil Garg, Hui Lin, Georges Kaddoum, Jia Hu, Mohammad Mehedi Hassan
Summary: This paper proposes a hierarchical trust evaluation strategy based on heterogeneous blockchain, utilizing federated deep learning technology for Intelligent Transportation Systems (ITS) security.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
