Mould-Growth Study in Building Materials Exposed to Warm and Humid Climate Using Heat and Mass Transfer (HAMT) EnergyPlus Simulation Method

Commercial energy consumption currently accounts for 8.6% of the total national energy consumption in India and it is predicted to surge in upcoming years. To tackle this issue, building envelope insulation is being promoted through codes and standards to reduce the cooling and heating demand and hence reduce the overall energy demand. However, with prolonged exposure to humid ambient conditions in warm-humid locations, building materials undergo decay in their hygrothermal properties, which induces mould growth and increases the energy that is needed to tackle the latent cooling load. Mould growth, in turn, harms the occupant and building health. Therefore, this study attempts to evaluate the mould-growth index (MGI) in the coastal city of Mangalore, Karnataka, India using the heat and mass transfer (HAMT) model. The MGI for one autoclaved aerated concrete (AAC) wall assembly in a representative commercial building has been studied by integrating EnergyPlus through the Python plugin. The simulated results suggest that the annual mean MGI for the AAC assembly is 3.5 and that mould growth will cover about 30–70% of the surface area. Furthermore, it was concluded that surface temperature, surface humidity, and solar radiation are key parameters for mould growth on the surface of a material

Government Agriculture Schemes in India: A Review

The agricultural sector plays a vital role in India's economy, employing a significant portion of the population and contributing substantially to the nation's Gross Domestic Product (GDP). To promote sustainable growth, improve farm productivity, and uplift the livelihoods of farmers, the Indian government has implemented various agriculture schemes over the years. This abstract provides a concise review of select government agriculture schemes in India, focusing on their objectives, implementation strategies, and overall impact. Through an in-depth analysis of relevant literature and government documents, this review outlines the historical context and evolution of agriculture schemes in India. It explores how these schemes have evolved to address the diverse challenges faced by the agricultural sector, ranging from resource constraints to climate change and market fluctuations. The abstract examines prominent initiatives such as the Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) which aims to provide direct income support to farmers, the Soil Health Card Scheme to improve soil fertility and enhance crop yields, and the National Agricultural Market (e-NAM) to create a unified platform for seamless agricultural trade. Furthermore, the abstract sheds light on the Rashtriya Krishi Vikas Yojana (RKVY) and the Pradhan Mantri Fasal Bima Yojana (PMFBY), designed to boost agricultural infrastructure and insure farmers against crop losses, respectively

Heavy Metal Contamination of Surface Sediments-Soil Adjoining the Largest Copper Mine Waste Dump in Central India Using Multivariate Pattern Recognition Techniques and Geo-Statistical Mapping

This detailed study assessed heavy metal contamination of sediments/soil near central India’s largest copper mining area using 38 sampling sites within 10 km of the mine using atomic absorption spectroscopy. This study utilized multivariate pattern recognition methods, namely hierarchical clustering analysis (HCA) and principal component analysis (PCA), for source identification. Twelve parameters, i.e., copper (Cu), manganese (Mn), cobalt (Co), zinc (Zn), nickel (Ni), lead (Pb), organic matter (OM), cation exchange capacity (CEC), soil pH, distance (D), and elevation (E) were analyzed. The hierarchical cluster analysis (HCA) was used to analyze the sample sites with similar metal contamination and principal component analysis (PCA) was used to analyze the relationship between the parameters as well as to identify sources of heavy metal pollution. Three major pollution hotspots were detected by AHC and were classified as unpolluted/low pollution sites (UPS: mean concentration factor of 1.35 for Cu), highly polluted sites (HPS: mean concentration factor of 22 for Cu), and extremely polluted sites (EPS: mean concentration factor of 74 for Cu). PCA revealed three hidden factors/components, namely PC1 (explaining 38% of the variability), PC2 (18% of the variability), and PC3 (14% of the variability). Metals showed strong positive loading in PC1, explaining the highest variability. The mean content of Cu in soil/sediment samples was 502.526 mg/kg. The mean copper content was 10 times higher than the natural crustal value of 45mg/kg, indicating severe pollution in several sites around the study area. Mapping of copper contamination was conducted to reveal the spatial distribution of copper contamination using QGIS. This study exposes the heavy metal contamination level in surface sediments/soil and the effectiveness of pattern recognition techniques for the assessment of multivariate datasets in discerning spatial disparities and identifying the contamination causes

The Impact of Social Media on Agricultural Youth: Empowering the Next Generation in India

Agriculture has evolved significantly over the centuries, with the role of agricultural youth playing a crucial role in shaping the future. These young individuals, aged 18 to 35, represent energy, innovation, and potential in the sector. Engaging them in agriculture is vital for food security, economic development, and sustainable rural livelihoods Social media has become a powerful tool for agricultural youth, empowering them to disseminate knowledge and facilitate continuous learning. Platforms like YouTube, Instagram, and Facebook have become repositories of agricultural expertise, providing resources on diverse topics like sustainable farming practices and precision agriculture techniques. Online communities, like the "Young Farmers" subreddit, foster a culture of collaborative learning. Social media's networking potential brings agricultural youth closer together, enhancing opportunities for collaboration, knowledge exchange, and cross-border agricultural projects. Platforms like Twitter and LinkedIn enable young farmers and enthusiasts to connect with experts, researchers, and peers worldwide. Social media also serves as a cost-effective avenue for marketing and promotion, enabling farmers to showcase their produce and interact with potential customers. Social media has also played a pivotal role in raising awareness about agricultural issues and advocating for sustainable practices, climate resilience, and policies supporting smallholder farmers. The fusion of technology and agriculture has spurred innovation and entrepreneurial ventures, with platforms like YouTube attracting investors and collaborators. Examples like "Aerofarms" demonstrate how social media can amplify the impact of agricultural innovation

Dynamic compressive behavior of metallic particulate-reinforced cementitious composites: SHPB experiments and numerical simulations

An experimental and numerical evaluation on the dynamic compressive response of mortars containing up to 20% waste iron powder as sand replacement is presented in this paper. The dynamic response is evaluated using split Hopkinson pressure bar (SHPB) apparatus under high strain rates (up to 250/s). The elongated iron particulates present in the iron powder-incorporated mortars warrant significantly improved compressive strength and energy absorption capacity at high strain rates. Multiscale numerical simulations are performed with a view to develop a tool that facilitates microstructure-guided design of these particulate-reinforced mortars for efficient dynamic performance. The dynamic compressive response of particulate-reinforced mortars is simulated adopting a numerical approach that incorporates strain rate-dependent damage in a continuum micromechanics framework. The simulated dynamic compressive strengths and energy absorption capacities for mortars with various iron powder content exhibit good correlation with the experimental observations thereby validating the efficacy of the simulation approach

Thermodynamic analysis of solar powered trigeneration arrangement for cooling, power and drinking water generation

Solar-driven trigeneration system is a most sustainable energy production technique. It produces valuable energy in the forms of heating, cooling, and power generation. Therefore, it meets the energy demands of a residential complex or of smallscale industries. This paper presents a solar-driven trigeneration system for power, cooling, and freshwater generation through a unit of humidification dehumidification desalination under various thermodynamic criteria. The trigeneration system consists of a parabolic trough collector, a storage tank, an organic Rankine cycle for power generation, a vapor absorption refrigeration system for producing a cooling effect, and a humidification and dehumidification desalination unit for producing fresh water. The average work output for the R-123 fluid was 2866.6 kJ, whereas for R-134a it was 2883.275 kJ. The present study had an average production of freshwater of about 157 kg per day from the proposed trigeneration system

FACTS About Building Retrieval Augmented Generation-based Chatbots

Enterprise chatbots, powered by generative AI, are emerging as key applications to enhance employee productivity. Retrieval Augmented Generation (RAG), Large Language Models (LLMs), and orchestration frameworks like Langchain and Llamaindex are crucial for building these chatbots. However, creating effective enterprise chatbots is challenging and requires meticulous RAG pipeline engineering. This includes fine-tuning embeddings and LLMs, extracting documents from vector databases, rephrasing queries, reranking results, designing prompts, honoring document access controls, providing concise responses, including references, safeguarding personal information, and building orchestration agents. We present a framework for building RAG-based chatbots based on our experience with three NVIDIA chatbots: for IT/HR benefits, financial earnings, and general content. Our contributions are three-fold: introducing the FACTS framework (Freshness, Architectures, Cost, Testing, Security), presenting fifteen RAG pipeline control points, and providing empirical results on accuracy-latency tradeoffs between large and small LLMs. To the best of our knowledge, this is the first paper of its kind that provides a holistic view of the factors as well as solutions for building secure enterprise-grade chatbots."Comment: 8 pages, 6 figures, 2 tables, Preprint submission to ACM CIKM 202

Acute-on-chronic liver failure (ACLF):the 'Kyoto Consensus'-steps from Asia

Acute-on-chronic liver failure (ACLF) is a condition associated with high mortality in the absence of liver transplantation. There have been various definitions proposed worldwide. The first consensus report of the working party of the Asian Pacific Association for the Study of the Liver (APASL) set in 2004 on ACLF was published in 2009, and the "APASL ACLF Research Consortium (AARC)" was formed in 2012. The AARC database has prospectively collected nearly 10,500 cases of ACLF from various countries in the Asia-Pacific region. This database has been instrumental in developing the AARC score and grade of ACLF, the concept of the 'Golden Therapeutic Window', the 'transplant window', and plasmapheresis as a treatment modality. Also, the data has been key to identifying pediatric ACLF. The European Association for the Study of Liver-Chronic Liver Failure (EASL CLIF) and the North American Association for the Study of the End Stage Liver Disease (NACSELD) from the West added the concepts of organ failure and infection as precipitants for the development of ACLF and CLIF-Sequential Organ Failure Assessment (SOFA) and NACSELD scores for prognostication. The Chinese Group on the Study of Severe Hepatitis B (COSSH) added COSSH-ACLF criteria to manage hepatitis b virus-ACLF with and without cirrhosis. The literature supports these definitions to be equally effective in their respective cohorts in identifying patients with high mortality. To overcome the differences and to develop a global consensus, APASL took the initiative and invited the global stakeholders, including opinion leaders from Asia, EASL and AASLD, and other researchers in the field of ACLF to identify the key issues and develop an evidence-based consensus document. The consensus document was presented in a hybrid format at the APASL annual meeting in Kyoto in March 2024. The 'Kyoto APASL Consensus' presented below carries the final recommendations along with the relevant background information and areas requiring future studies.</p

Acute-on-Chronic Liver Failure (ACLF): The ‘Kyoto Consensus’-Steps From Asia

Acute-on-chronic liver failure (ACLF) is a condition associated with high mortality in the absence of liver transplantation. There have been various definitions proposed worldwide. The first consensus report of the working party of the Asian Pacific Association for the Study of the Liver (APASL) set in 2004 on ACLF was published in 2009, and the APASL ACLF Research Consortium (AARC) was formed in 2012. The AARC database has prospectively collected nearly 10,500 cases of ACLF from various countries in the Asia-Pacific region. This database has been instrumental in developing the AARC score and grade of ACLF, the concept of the \u27Golden Therapeutic Window\u27, the \u27transplant window\u27, and plasmapheresis as a treatment modality. Also, the data has been key to identifying pediatric ACLF. The European Association for the Study of Liver-Chronic Liver Failure (EASL CLIF) and the North American Association for the Study of the End Stage Liver Disease (NACSELD) from the West added the concepts of organ failure and infection as precipitants for the development of ACLF and CLIF-Sequential Organ Failure Assessment (SOFA) and NACSELD scores for prognostication. The Chinese Group on the Study of Severe Hepatitis B (COSSH) added COSSH-ACLF criteria to manage hepatitis b virus-ACLF with and without cirrhosis. The literature supports these definitions to be equally effective in their respective cohorts in identifying patients with high mortality. To overcome the differences and to develop a global consensus, APASL took the initiative and invited the global stakeholders, including opinion leaders from Asia, EASL and AASLD, and other researchers in the field of ACLF to identify the key issues and develop an evidence-based consensus document. The consensus document was presented in a hybrid format at the APASL annual meeting in Kyoto in March 2024. The \u27Kyoto APASL Consensus\u27 presented below carries the final recommendations along with the relevant background information and areas requiring future studies