Comprehensive analysis of Seriphidium kurramense: GC/MS profiling, antibacterial and antibiofilm activities, molecular docking study and in-silico ADME profilingSpringer Science and Business Media LLC - - 2024
Narjis Khatoon, Zubair Alam, Imtiaz Hussain, Bushra Khubaib, Muhammad Arshad Javed, Qurban Ali
The emergence of drug-resistant bacteria poses a substantial threat to global healthcare, necessitating the development of novel therapeutic approaches. Seriphidium kurramense, a well-known aromatic, medicinal, and culinary herb, has garnered attention due to its potential medicinal properties. In this study, we investigated the chemical composition, antibacterial, and antibiofilm activities of Se...... hiện toàn bộ
The genome, pangenome, and physiological analysis of Leclercia adecarboxylata (kcgeb_e1), a plant growth-promoting bacteriumSpringer Science and Business Media LLC - - 2024
Esam Eldin Saeed, Naganeeswaran Sudalaimuthuasari, Fayas Thayale Purayil, Mohammed Rafi, Biduth Kundu, Ajay Kumar Mishra, Raja Saeed Al-Maskari, Amira Mohamed Abdelfattah, Afaf Kamal Eldin, Suja George, Miranda Procter, Khaled M. Hazzouri, Khaled MA Amiri
Plant growth-promoting bacteria (PGPB) as biofertilizer plays an important role in agriculture practices. In this study, we isolated and identified plant-associated bacteria Leclercia adecarboxylata (kcgeb_e1) from the root region of the halophytic plant Sesuvium verrucosum. We tested its physiological activity and the effect of inoculation, with and without salt, on photosynthesis using Cajanus c...... hiện toàn bộ
Incorporating sea sand into self-compacting concrete: a systematic reviewSpringer Science and Business Media LLC -
B. M. Sindhurashmi, Gopinatha Nayak, N. D. Adesh, Vidya Rao, Sandhya Parasnath Dubey
AbstractThe increasing demand for river sand, driven by infrastructure development, poses environmental challenges. The study aims to address the depletion of river sand by integrating sea sand as a fine aggregate in the production of Self-Compacting Concrete (SCC) through a Systematic Literature Review. Furthermore, it includes an in-depth bibliographic analysis o...... hiện toàn bộ
Regression model based properties prediction of A356 aluminum alloy rheocast using cooling slope techniqueSpringer Science and Business Media LLC - - 2024
Rishitosh Ranjan, B. Surekha, Prakash Ghose, Prakash Chandra Mishra
The current research work involves experimental research of the Al-alloy rheocasting with enhanced microstructural and mechanical characteristics after using the Semi-Solid Metal (SSM) processing method, which is the cooling slope method. The studies here were carried out online with Central Composite Design (CCD) in order to create a non-linear regression model to represent the fabrication of A35...... hiện toàn bộ
Revolutionizing Somali agriculture: harnessing machine learning and IoT for optimal crop recommendationsSpringer Science and Business Media LLC - - 2024
Mohamed Omar Abdullahi, Abdukadir Dahir Jimale, Yahye Abukar Ahmed, Abdulaziz Yasin Nageye
Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resources, and poor infrastructure hamper productivity and economic progress. Emerging technologies like machine learning and IoT offer transformative solutions, optimizing crop yield and resource use. This research demonstrates the substantial impact of integrating Machine Learning (ML) and Internet of Things...... hiện toàn bộ
GNSS jamming detection using attention-based mutual information feature selectionSpringer Science and Business Media LLC - - 2024
Ali Reda, Tamer Mekkawy
Global navigation satellite systems (GNSS) are extensively utilized for military and civilian applications. Unfortunately, because of the signal weakness, GNSS is susceptible to interference, fading, and jamming, which reduces the position accuracy. Therefore, it would be beneficial to have a simple and highly accurate model for detecting the jamming signals to improve the GNSS receiver accuracy. ...... hiện toàn bộ
Predicting dynamics of wildfire regimes in Yunnan, ChinaSpringer Science and Business Media LLC - - 2024
Xiaofan Deng, Jiujin Li, Xiaoqing Dai, Junfan Zhao, Hang Deng, Fan Zhao
In recent years, the rise in global warming has significantly increased forest fires, affecting the environment and economy. Predicting forest fire dynamics under climate change is now a crucial research field. To address this need, this study focuses on the impact of climate change on forest fires, with a particular focus on the fire dynamics in Yunnan Province. This study utilizes the RegCM regi...... hiện toàn bộ