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IIT Indore's new eco-friendly cement-free concrete cuts costs by 20%, saves water
IIT Indore's new eco-friendly cement-free concrete cuts costs by 20%, saves water

India Today

time18-07-2025

  • Science
  • India Today

IIT Indore's new eco-friendly cement-free concrete cuts costs by 20%, saves water

IIT-Indore is shaking things up in the construction world. Its civil engineering team, led by Associate Professor Dr Abhishek Rajput, has created a cement-free concrete using geopolymer technology. The result? A stronger, faster, and greener way to new concrete doesn't just perform better -- it could also bring down construction costs by up to 20% when local materials are used. Plus, it skips water curing altogether, which is a big win in times of water CEMENT, HELLO WASTE MATERIALSUnlike traditional concrete that relies on Ordinary Portland Cement (PCC), this new geopolymer high-strength concrete (G-HSC) uses fly ash and ground granulated blast furnace slag (GGBS) -- both industrial by-products. That means it's not just cement-free, it's waste-reducing too. Even better, this concrete can cut CO emissions by up to 80%, addressing one of the construction sector's biggest climate problems. Cement alone is responsible for about 8% of global CO emissions, releasing around 2.5 billion tonnes of CO every FOR URGENT PROJECTSWhat makes this concrete even more impressive is its speed. It gains over 80 MPa compressive strength in just three days, making it ideal for urgent builds like military bunkers, bridges, disaster relief structures, and railway or highway contrast, regular cement-based concrete usually takes 28 days to reach similar strength Suhas Joshi, Director of IIT Indore, called the project 'an excellent example' of how the institute is supporting India's green researcher Dr Rajput added, 'The goal is to find a practical solution that benefits both the environment and the construction industry.'- Ends

IIT-I's new CoE to develop tech solutions to enhance agri practices
IIT-I's new CoE to develop tech solutions to enhance agri practices

Time of India

time13-06-2025

  • Business
  • Time of India

IIT-I's new CoE to develop tech solutions to enhance agri practices

Indore: IIT-Indore's newly launched Agri Hub, a Centre of Excellence (CoE) dedicated to developing technological solutions aimed at enhancing agricultural practices in India, has already attracted 11 projects from various organisations. The CoE, specialising in Artificial Intelligence, Machine Learning, and deep learning, aims to bridge the gap between data generation and actionable insights for farmers, ensuring that advancements in technology benefit the agricultural sector. Professor Aruna Tiwari, principal investigator of the AgriHub Project, said, "Huge data is generated across the country by agriculture scientists, but it remains underutilised due to limited access for computer scientists. By centralising this data, we can develop algorithms to create innovative solutions that directly benefit farmers and stakeholders." The CoE serves as a collaborative platform, bringing together stakeholders from academia, industry, non-governmental organisations, Krishi Vikas Kendras, and farmers' producer organisations (FPOs) to tackle the challenges faced by agriculture today. Professor Suhas S. Joshi, director of IIT Indore, expressed pride in the launch of the AgriHub, stating, "This initiative is a significant step towards making a societal impact through technological innovation. With its advanced infrastructure and collaborative framework, the AgriHub Technology Centre is poised to become a national model for technology-driven agricultural transformation." Equipped with a state-of-the-art smart rack configuration, the Technology Centre hosts the latest NVIDIA DGX systems, optimised for AI workloads, alongside a high-capacity Storage Node. This facility promises enhanced computational performance and scalable storage solutions capable of handling extensive agricultural datasets. The AgriHub will work to deploy advanced machine learning, deep learning, and data analytics models to explore innovative solutions and address the complex challenges of Indian agriculture. By facilitating a network of collaboration and data sharing, the CoE is committed to advancing agricultural practices and improving the livelihoods of farmers across the nation. Follow more information on Air India plane crash in Ahmedabad here . Get real-time live updates on rescue operations and check full list of passengers onboard AI 171 .

IIT-I study to help develop therapies & precise diagnostics for Covid symptoms
IIT-I study to help develop therapies & precise diagnostics for Covid symptoms

Time of India

time28-05-2025

  • Health
  • Time of India

IIT-I study to help develop therapies & precise diagnostics for Covid symptoms

Indore: A study by the Indian Institute of Technology, Indore, (IIT-I) in collaboration with top Indian institutions, revealed how different variants of Covid-19 virus affected the human body and led to varying levels of disease severity. The findings show how different Covid-19 variants influence the body in unique ways, causing major disruptions in metabolic and hormonal pathways. This research was led by Dr Hem Chandra Jha from IIT-I and Dr Nirmal Kumar Mohakud from KIMS Bhubaneswar, with support from the Indian Council of Medical Research (ICMR) and IIT-I. IIT-I director professor Suhas S Joshi said, "This study is a testament to the strength of interdisciplinary collaboration and cutting-edge research at IIT-Indore. Understanding the long-term impact of Covid-19 at a molecular level is vital for preparing better healthcare responses and designing targeted treatments." Using clinical data from 3,134 Covid-19 patients from the first and second waves in India, researchers applied machine learning to identify nine critical parameters related to disease severity, such as C-reactive protein (CRP), D-dimer, ferritin, neutrophils, white blood cell (WBC) count, lymphocytes, urea, creatine, and lactate dehydrogenase (LDH). In addition to analysing patient data, the researchers studied lung and colon cells that were exposed to different spike proteins from these virus variants. Dr Hem Chandra Jha, an associate professor at IIT-I added, "Our findings reveal how different Covid-19 variants influence the body in unique ways, particularly the Delta variant, which caused major disruptions in metabolic and hormonal pathways. This research could help develop precise diagnostics and therapies to manage long Covid-19 symptoms more effectively." According to the findings, the Delta variant showed the most significant disruptions in the body's chemical balance. It affected pathways related to catecholamine and thyroid hormone production, leading to complications, including silent heart failure and thyroid dysfunction. These findings were further supported by a meta-analysis that pointed to disruptions in urea and amino acid metabolism. The study also involved advanced technologies like multi-omics and Raman spectroscopy, used by Prof Rajesh Kumar's team at IIT-Indore to map these disruptions. Patient data analysis was guided by Professor Sonali Agarwal from IIIT Allahabad.

IIT-I study may help to develop precise diagnostics & therapies for Covid-19 symptoms
IIT-I study may help to develop precise diagnostics & therapies for Covid-19 symptoms

Time of India

time27-05-2025

  • Health
  • Time of India

IIT-I study may help to develop precise diagnostics & therapies for Covid-19 symptoms

Indore: A study by the Indian Institute of Technology, Indore, ((IIT-I) in collaboration with top Indian institutions, revealed how different variants of Covid-19 virus affected the human body and led to varying levels of disease severity. The findings show how different Covid-19 variants influence the body in unique ways, causing major disruptions in metabolic and hormonal pathways. This research was led by Dr Hem Chandra Jha from IIT-I and Dr Nirmal Kumar Mohakud from KIMS Bhubaneswar, with support from the Indian Council of Medical Research (ICMR) and IIT-I. IIT-I director professor Suhas S Joshi said, "This study is a testament to the strength of interdisciplinary collaboration and cutting-edge research at IIT-Indore. Understanding the long-term impact of Covid-19 at a molecular level is vital for preparing better healthcare responses and designing targeted treatments." Using clinical data from 3,134 Covid-19 patients from the first and second waves in India, researchers applied machine learning to identify nine critical parameters related to disease severity, such as C-reactive protein (CRP), D-dimer, ferritin, neutrophils, white blood cell (WBC) count, lymphocytes, urea, creatine, and lactate dehydrogenase (LDH). by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Edema nas pernas? Pingue isso na água antes de dormir! A arte do herbalismo Undo In addition to analysing patient data, the researchers studied lung and colon cells that were exposed to different spike proteins from these virus variants. Dr Hem Chandra Jha, an associate professor at IIT-I added, "Our findings reveal how different Covid-19 variants influence the body in unique ways, particularly the Delta variant, which caused major disruptions in metabolic and hormonal pathways. This research could help develop precise diagnostics and therapies to manage long Covid-19 symptoms more effectively." According to the findings, the Delta variant showed the most significant disruptions in the body's chemical balance. It affected pathways related to catecholamine and thyroid hormone production, leading to complications, including silent heart failure and thyroid dysfunction. These findings were further supported by a meta-analysis that pointed to disruptions in urea and amino acid metabolism. The study also involved advanced technologies like multi-omics and Raman spectroscopy, used by Prof Rajesh Kumar's team at IIT-Indore to map these disruptions. Patient data analysis was guided by Professor Sonali Agarwal from IIIT Allahabad. Authors, who contributed to this study include, Budhadev Baral, Vaishali Saini, Siddharth Singh, Tarun Prakash Verma, Deb Kumar Rath, Jyotirmayee Bahinipati, Priyadarsini Panda, Shubhransu Patro, Namrata Misra, Manas Ranjan Behera, Kartik Muduli, Hamendra Singh Parmar, Ajay Kumar Meena and Soumya R Mohapatra.

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