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
Water depth prediction in combined sewer networks, application of generative adversarial networksSpringer Science and Business Media LLC - - 2024
Alireza Koochali, Amin E. Bakhshipour, Mahta Bakhshizadeh, Ralf Habermehl, Timo C. Dilly, Ulrich Dittmer, Sheraz Ahmed, Ali Haghighi, Andreas Dengel
This paper addresses the pressing issue of combined sewer overflows (CSOs) in urban areas, which pose significant environmental and public health threats. CSOs occur when combined sewer systems become overwhelmed during heavy rainfall, leading to untreated sewage and stormwater being discharged into nearby water bodies. To effectively manage and mitigate CSO effects, accurate predictions of CSOs a...... hiện toàn bộ
Predictive modeling of dining facility waste by material type across time and geographySpringer Science and Business Media LLC - - 2024
Abigail Rice, Angela Urban, Paul Davidson
The increasing rate of global solid waste generation is startling. This is exacerbating the challenge of decreasing solid waste generation to reduce disposal in landfills. U.S. Army installations offer a unique qualitative and quantitative dataset across a span of geographical locations. Modeling prediction capability of dining facility (DFAC) solid waste streams using data from 11 Army installati...... 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