Article
Immunology
Swati Gupta, K. P. Mishra, Rupali Gupta, S. B. Singh
Summary: This review highlights the therapeutic role of andrographolide in alleviating symptoms associated with chikungunya virus (CHIKV) infection, emphasizing its regulatory effects on immunological molecules, virus replication, inflammation, oxidative stress, apoptosis, and arthritis.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2021)
Article
Chemistry, Physical
Masoud Emami Mehr, Hossein Maleki-Ghaleh, Mohadeseh Yarahmadi, Majid Kavanlouei, M. Hossein Siadati
Summary: In this study, core/shell ZnO/TiO2 nanocomposite samples were prepared using the sol-gel method at different time spans. The sample prepared in the 15-minute time span (ZnTi15) exhibited the highest photocatalytic activity and charge carrier density, making it the optimal sample. The formation of a heterojunction at the ZnO/TiO2 interface could be attributed to the increased photocurrent density observed for the ZnTi15 sample.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Engineering, Mechanical
Yawen Yang, Honggang Wang, Junfang Ren, Gui Gao, Gengrui Zhao, Shengsheng Chen, Na Wang, Jinqing Wang
Summary: The tribological studies showed that the PTFE@PR composite maintained excellent tribological properties under harsh working conditions and exhibited long durability, making it a potential candidate lubricating material with multi-environmental adaptability.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Chemistry, Physical
Lokesh Saravanan, Ranjit A. Patil, Pangihutan Gultom, Brajesh Kumar, Arumugam Manikandan, Yen-Pei Fu, Yu-Lun Chueh, Chia-Liang Cheng, Wang-Chi Yeh, Yuan-Ron Ma
Summary: In this study, carbon-shelled titanium dioxide nanowires were successfully synthesized through chemical vapor deposition, with increased oxygen vacancies observed at higher growth temperatures, resulting in enhanced visible light absorption and improved photocatalytic degradation of methylene blue dye.
Article
Engineering, Environmental
Alkadevi Verma, Shaili Pal, Jyoti Kuntail, Neha Kamal, R. K. Mandal, Indrajit Sinha
Summary: This study investigates the photocatalytic properties of Cu@Ag and Ag@Cu core-shell nanostructures for the reduction of p-nitrophenol by glycerol under dark and visible light conditions. The Cu@Ag nanoparticles showed significantly enhanced plasmonic photocatalytic activity compared to Ag@Cu nanoparticles. Density functional theory calculations and time-dependent density functional theory simulations were used to understand the electronic structure and mechanism of the core-shell nanostructures.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Chengcheng Ma, Wei Wang, Debao Kong, Shuang Wei, Wen Li, Shougang Chen
Summary: Cu2O@NiCo2O4/RGO composites were fabricated using a simple approach and demonstrated superior microwave absorbing performance and long-term antibacterial activity. The composites showed efficient absorption and a wide absorption bandwidth, as well as excellent antibacterial activity, making them promising materials for marine microwave absorption and anti-fouling applications.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Physical
Qingyuan Luo, Ronghuo Yuan, Yan-Ling Hu, Defa Wang
Summary: InxGa1-xN nanowires with core/shell structure grown on n-type Si substrate by Ni-assisted CVD method were studied for their photocatalytic properties. Thicker GaN shell was found to reduce photoactivity, and a strategy to improve performance was proposed.
APPLIED SURFACE SCIENCE
(2021)
Article
Environmental Sciences
Sheida Mokhtari, Hossein Faghihian, Mehrosadat Mirmohammadi
Summary: In this study, a selective photocatalyst based on molecularly imprinted magnetized TiO2 (MMIP@TiO2) was prepared and used for the degradation of a sulfasalazine pharmaceutical pollutant. The MMIP@TiO2 photocatalyst showed significantly higher efficiency and selectivity compared to the non-imprinted counterpart, achieving 90% degradation efficiency within 10 minutes. The maximum removal efficiency was calculated to be 92%.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Chemistry, Applied
Yang Chen, Guobing Mao, Yawen Tang, Heng Wu, Gang Wang, Li Zhang, Qi Liu
Summary: The novel Cr2O3/C@TiO2 composite synthesized in this study showed enhanced visible light absorption, reduced recombination rate of electrons and holes, and abundant active sites for photoreduction reaction, leading to superior H-2 production compared to pure TiO2.
CHINESE JOURNAL OF CATALYSIS
(2021)
Article
Chemistry, Physical
Yi-Che Chen, Yu-Cheng Chang, Alexandre Gloter, Pei-Kai Hsu, Jenn-Ming Song, Shih-Yun Chen
Summary: The photocatalytic performance of new TiO2/CeO2 composites was enhanced compared to bare TiO2 and CeO2 nanoparticles. Tuning the TiO2 shell deposition extended the absorption range to visible light and prolonged the lifetime of photo-induced electron-hole pairs, resulting in a significant enhancement in the degradation rate of methylene blue under both UV and visible light conditions. The strong interface interaction and modification of Ce3+ and Ti3+ content near the interface in the core-shell structure contribute to the improved photocatalytic efficiency.
APPLIED SURFACE SCIENCE
(2021)
Article
Chemistry, Physical
Chi-Jung Chang, Ming-Chun Teng, Jemkun Chen, Yan-Gu Lin, Chin-Yi Chen
Summary: Cubic alpha-MnS and core-shell MnS@Ag2S photocatalysts were synthesized successfully using a microwave-assisted solvothermal and ion-exchange approach. The morphology of MnS nanomaterials can be tuned from microsphere to microcubes, and the photocatalytic activity can be effectively enhanced with the formation of Ag2S shell.
APPLIED SURFACE SCIENCE
(2021)
Article
Chemistry, Inorganic & Nuclear
Yuhan Xie, Boyu Dong, Xuemin Wang, Siyuan Wang, Jinxi Chen, Yongbing Lou
Summary: This study successfully fabricated visible-light-responsive three-dimensional core-shell CoSe2/ZnIn2S4 heterostructures and achieved attractive activity in photocatalytic hydrogen evolution. The presence of CoSe2 improved light absorption and accelerated charge transfer kinetics. The strong interaction between CoSe2 and ZnIn2S4 reduced charge recombination, further enhancing photocatalytic activity for hydrogen evolution.
DALTON TRANSACTIONS
(2024)
Article
Chemistry, Multidisciplinary
Zhen Li, Shunqi Mei, Yajie Dong, Fenghua She, Puwang Li, Yongzhen Li, Lingxue Kong
Summary: Core-shell nanofibers show great potential for biomedical applications like wound healing, enabling easier control of drug release profile. Co-axial centrifugal spinning is an efficient method to produce core-shell nanofibers, addressing the challenge of high production rate with low energy consumption.
Article
Chemistry, Physical
Mahsa Khoshnam, Hamidreza Salimijazi
Summary: In this study, a novel magnetic-photocatalytic core/double-layer-shell of Fe3O4/SiO2/a-Fe2O3 particles was synthesized via a developed sol-gel method, with each stage characterized using XRD, FTIR, and VSM. The particles exhibited an average size of 250 nm and showed high photo-degradation efficiency towards dye contaminations in a short period of time.
SURFACES AND INTERFACES
(2021)
Article
Biophysics
Shuangxiu Shu, Hao Wang, Yeping Li, Jiawei Liu, Juan Liu, Jiao Yao, Shuai Liu, Menghao Zhu, Lijing Huang
Summary: A novel n-p & beta;-Bi2O3@BiOI core/shell heterostructure was successfully constructed by a facile ultrasonication method. SEM, TEM, XRD and XPS confirmed the core/shell structure. The composite exhibited good absorption of visible light based on UV-vis spectroscopy. Photocurrent and electrochemical impedance analysis demonstrated efficient electron (e-) and hole (h+) separation in the core/shell hybrid structure, leading to significantly improved photocatalytic activity. The & beta;-Bi2O3@BiOI photocatalyst showed superior antibacterial performance compared to & beta;-Bi2O3 and BiOI, treating Escherichia coli (E. coli), Staphylococcus aureus (S. aureus), and bisphenol A (BPA) under LED light. Trapping experiment revealed the crucial role of holes in the photocatalytic reaction. This research provides a novel LED light-activated photocatalyst with potential applications in antibacterial treatments.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2023)
Article
Computer Science, Artificial Intelligence
Sourabh Sharma, Harish Sharma, Janki Ballabh Sharma, Ramesh Chandra Poonia
Summary: This article reports a robust color image watermarking technique in the transform domain using artificial intelligence, which embeds a color watermark in a color image to enhance its security. The watermark information is scrambled and extracted using a secret key, providing ownership protection. Experimental results demonstrate the proposed algorithm's robustness and security.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Ayman Altameem, Jaideep Singh Sachdev, Vijander Singh, Ramesh Chandra Poonia, Sandeep Kumar, Abdul Khader Jilani Saudagar
Summary: This study utilizes brain-computer interfaces (BCIs) and machine learning algorithms to classify EEG signals and control prosthetic hands. Feature extraction techniques such as fast Fourier transform and continuous wave transform were employed, and different machine learning and deep learning models were trained and compared, achieving high classification accuracy.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
Article
Mathematics
Garima Saini, Vaibhav Bhatnagar, Seema, Linesh Raja, Shilpa Sharma, Ramesh Chandra Poonia
Summary: This study examines the work-life integration among healthcare workers during the COVID-19 crisis using positive psychology constructs. It explores the impact of optimistic approach and sense of belongingness on performance-oriented healthcare workers and their withdrawal cognition. The study also analyzes the moderating effect of fear of the coronavirus disease on performance orientation and withdrawal cognition. The empirical data collected from 357 healthcare professionals through face-to-face interactions and analyzed using PLS-SEM 3.3.3 provides detailed insights into the model. The results suggest that optimistic approach and sense of belongingness contribute significantly to performance-oriented healthcare work, while fear of corona disease moderates these effects and has a negative impact on performance orientation and a positive interaction with withdrawal cognition.
JOURNAL OF INTERDISCIPLINARY MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
J. Dhoulath Beegum, D. Chithraprasad, Sajeev Ampadi, Ramesh Chandra Poonia, Mahesh Sankar
Summary: This study presents a non-invasive method to separate heart sounds from speech signals, offering doctors clear audio for diagnosis. The timely detection of heart-related issues, especially for babies, is crucial for saving lives.
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
(2022)
Article
Environmental Sciences
Kamaldeep Gupta, Sharmistha Roy, Ayman Altameem, Raghvendra Kumar, Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia
Summary: This study evaluates the usability and user perspective of mHealth applications for self-management of Type 2 Diabetes Mellitus (T2DM). The findings suggest that mySugr is the most preferred application, with 6 out of 11 applications being suitable for T2DM self-management.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Medicine, General & Internal
Sarang Sharma, Sheifali Gupta, Deepali Gupta, Ayman Altameem, Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia, Soumya Ranjan Nayak
Summary: Alzheimer's disease is a degenerative brain condition that affects memory and reasoning abilities. The current diagnostic methods are time-consuming and complex, so a deep learning model that combines transfer learning and machine learning has been developed for early diagnosis. The proposed model achieves high accuracy and specificity, making it a promising approach for clinical treatment.
Article
Computer Science, Interdisciplinary Applications
Basant Agarwal, Mukesh Kumar Gupta, Harish Sharma, Ramesh Chandra Poonia
Summary: This article proposes a novel Siamese architecture-based model for detecting cross-lingual plagiarism in English-Hindi language pairs. The model combines CNN and Bi-LSTM networks to learn the semantic similarity of cross-lingual sentences.
Article
Automation & Control Systems
Ayman Altameem, Ramesh Chandra Poonia, Ankit Kumar, Linesh Raja, Abdul Khader Jilani Saudagar
Summary: Data clustering is crucial for data processing and analytics. The new clustering method overcomes the challenge of evaluating and extracting data from big data. The proposed modification to the ROCK algorithm, named P-ROCK, improves flexibility and scalability and has been validated with experimental results.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
K. Amrutha, P. Prabu, Ramesh Chandra Poonia
Summary: Sign language is a natural and complete communication mode, especially for non-verbal communicators. An automatic sign language translator is necessary to overcome the language barrier. We propose a lightweight SLT framework, LiST, that considers multiple modalities and achieves high translation accuracy.
Article
Social Sciences, Interdisciplinary
Ayman Altameem, P. Prabu, T. Senthilnathan, Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar
Summary: This research aims to enhance security in IoT by using fingerprint authentications to prevent unauthorized access and protect user privacy. To address privacy and security issues in IoT environments, Biometric Authentication Frameworks (BAFs) are proposed to enable fingerprint authentications and ensure biometric security in transmissions and databases.
Article
Computer Science, Hardware & Architecture
Rajkumar Soundrapandiyan, Himanshu Naidu, Marimuthu Karuppiah, M. Maheswari, Ramesh Chandra Poonia
Summary: A novel artificial intelligence-based deep learning model, named WavStaCovNet-19, is proposed to automatically detect COVID-19 from chest X-ray images. The model achieves an accuracy of 94.24% and 96.10% on 4 classes and 3 classes, respectively. The proposed work can be useful in the healthcare domain to detect COVID-19 with less time and cost, and with higher accuracy.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Ayman Altameem, Sandeep Kumar, Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar
Summary: This study presents a modified whale optimization algorithm for categorizing plant leaf images, aiming to assist farmers in plant recognition and management. Experimental results show that the proposed algorithm achieves high accuracy and improves accuracy by 5%.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Health Care Sciences & Services
Ramesh Chandra Poonia, Mukesh Kumar Gupta, Ibrahim Abunadi, Amani Abdulrahman Albraikan, Fahd N. Al-Wesabi, Manar Ahmed Hamza, B. Tulasi
Summary: Kidney disease is a major public health concern and researchers have developed a prediction model based on machine learning to detect it early with high accuracy.
Article
Biochemical Research Methods
Ayman Altameem, Basetty Mallikarjuna, Abdul Khader Jilani Saudagar, Meenakshi Sharma, Ramesh Chandra Poonia
Summary: This article introduces an automatic method for detecting brain tumors from MRI images using Convolutional Neural Networks (CNNs). The proposed algorithms can accurately identify and segment brain tumors, as well as determine the stage of the tumor. The study shows that the method achieves high accuracy and outperforms existing algorithms.
JOURNAL OF COMPUTATIONAL BIOLOGY
(2022)
Article
Health Care Sciences & Services
Kamaldeep Gupta, Sharmistha Roy, Ramesh Chandra Poonia, Soumya Ranjan Nayak, Raghvendra Kumar, Khalid J. Alzahrani, Mrim M. Alnfiai, Fahd N. Al-Wesabi
Summary: This research aims to assess and evaluate the usability and effectiveness of existing T2DM-focused mHealth applications. The study uses multi-criteria decision-making approaches and questionnaire-based evaluation to rank five applications based on usability and customer satisfaction.
