Daily Archives: September 30, 2026

Authors: Dasari Vinay, Assistant Professor A. Ram Kumar

Abstract: Nowadays concrete plays a major role in the human life. It is the prominent material to the construction industry and also usage of concrete became second only to water around the world. In this, cement is the most commonly used as a binding material in the concrete industry. But usage of concrete is enormously increased to produce structural elements. In this, cement is the most promising binding material to produce conventional concrete. But there are many environmental issues are associated with producing cement. Portland cement (PC) production has resulted in high amount of CO2 emissions into the atmosphere and PC is one of the major energy-intensive material and it requires huge amount of natural resources i.e; limestone. In the present scenario emission of greenhouse gas contributes about 1.5 billion tons annually or about 7% of the total greenhouse gas emissions to the earth's atmosphere due to PC production. However, many efforts have been started in the construction industry to overcome this by utilizing industrial by products and developing substitute binders in concrete. To preventing this there must be study needs to focus to develop alternative and sustainable material towards cement free concrete. Which can be replaced by supplementary binder materials in the form of silica fume, metkaolin, rice-husk ash, GGBS and fly ash? Geopolymer concrete is an inorganic polymer aluminum silicon Acid material and it was introduced by the French chemist J. Davidovits in the last century in the late 1970. Geopolymer generated at the same time as excited by alkaline substances, while consuming one of these various industrial wastes have the characteristics of low energy consumption and low resource consumption. Geopolymer has received much attention in recent years as an environmentally friendly material. Geopolymer materials need a broad range of naturally available industrial bi-products. Geopolymer concrete has advantages like; simple process, Inexpensive, low energy consumption, high mechanical performance and durability, etc. The broad application development prospect has always been an internationally active research material.

DOI: https://doi.org/10.5281/zenodo.23057252

Published by: vikaspatanker

Authors: Stephen Ovie Ewagba, Orute Destiny, Ezekiel O. Agbalagba, Alex Orduvwe Teghware, Erienu Obruche Kennedy

Abstract: This study evaluated the radiometric characteristics of soils from selected OML 30 oil fields and host-community environments in Delta State using natural radionuclide measurements and the RESRAD-BIOTA code. The activity concentrations of ^40K, ^226Ra and ^232Th were determined for the investigated soil samples, while radium equivalent activity (Raeq) was used to provide an integrated measure of the concentrations of the radionuclides. The results showed considerable spatial variation across the studied oil fields. ^40K concentrations ranged from 219.25 to 553.65 Bq kg⁻¹, ^226Ra from 26.20 to 55.30 Bq kg⁻¹, and ^232Th from 17.35 to 38.10 Bq kg⁻¹. Kokori recorded the highest concentrations of all three radionuclides, whereas Otorogu generally recorded the lowest values. The calculated Raeq values ranged from 69.60 to 152.40 Bq kg⁻¹ and were below the reported recommended value of 370 Bq kg⁻¹. RESRAD-BIOTA version 1.8 was subsequently applied to estimate external, internal and total radiation doses to terrestrial plants and animals. The modeled results demonstrated spatial differences in biota dose, with Kokori recording among the highest total doses. Overall, the findings provide evidence of spatially variable natural radioactivity in the investigated oil-field soils and establish a radiometric baseline for continued environmental monitoring.

DOI: http://doi.org/10.5281/zenodo.23056985

Published by: vikaspatanker

Authors: Dr. Sameer Pawar

Abstract: Generative Artificial Intelligence (GenAI) is rapidly changing marketing management by enabling automated content creation, large-scale personalisation, customer interaction, idea generation, campaign optimisation, and data-supported decision-making. The present study examines the influence of Generative AI adoption on marketing productivity and investigates the relationship between AI-enabled content personalisation and customer engagement. The study adopts a quantitative, cross-sectional research design. Primary data were modelled from 400 marketing professionals, managers, digital marketing specialists, entrepreneurs, and related business professionals using a structured five-point Likert-scale questionnaire. Descriptive statistics were used to assess perceptions of GenAI adoption, marketing productivity, content personalisation, and customer engagement. Two hypotheses were tested using simple linear regression. The illustrative results indicate that Generative AI adoption has a statistically significant positive relationship with marketing productivity, while AI-enabled content personalisation significantly influences customer engagement. The findings suggest that GenAI can contribute to marketing productivity through faster content development, reduced repetitive work, improved idea generation, and campaign support. At the same time, the value of AI-enabled personalisation depends on relevance, timeliness, contextual fit, and responsible use of customer data. The study contributes to the emerging Indian literature on GenAI in marketing by integrating productivity, content personalisation, and customer engagement into an empirical framework.

DOI: https://zenodo.org/records/23054642

Published by: vikaspatanker