Assam Don Bosco University Journals
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Enhancing Bituminous Mix Performance Using Waste Plastics: Experimental Insights and Sustainability Considerations
No full textThe dual challenge of managing the rising volume of plastic waste and improving the long-term performance of road pavements has become an important focus of research in sustainable infrastructure. Plastics, due to their non-biodegradable nature and extensive use across industries, contribute significantly to global environmental pollution, while flexible pavements are constantly exposed to increasing traffic loads, moisture damage, and climatic variations. These parallel issues create an opportunity to recycle waste plastics effectively by incorporating them into asphalt mixes, thereby addressing both waste management and pavement durability concerns.This study evaluates the suitability of six categories of post-consumer thermoplastics—polyethylene terephthalate (PET), high-density polyethylene (HDPE), polyvinyl chloride (PVC), low-density polyethylene (LDPE), polypropylene (PP), and polystyrene (PS)—for improving the performance of bituminous concrete. Each plastic type was introduced into a dense-graded bituminous mix at dosages of 5%, 7.5%, and 10% by weight of binder. A series of standard bituminous tests were conducted to assess their impact, including ductility, penetration, softening point, Marshall stability, and Marshall flow. Together, these properties provide a comprehensive view of the strength, stiffness, temperature susceptibility, and deformation resistance of the modified mixes.The findings reveal that the inclusion of plastics generally enhances the high-temperature resistance and load-bearing capacity of the mixes, reflected by improvements in both softening point and Marshall stability. However, the effect on flexibility-related properties such as ductility and flow was observed to vary significantly with the type and proportion of plastic. HDPE at 10% and PP at around 7.5% produced the most balanced results, offering increased stability without severe compromise in ductility. PS at 10% dosage yielded the highest stability among all mixes, though it was accompanied by a moderate reduction in ductility. On the other hand, LDPE and PVC, while increasing stiffness, caused substantial decreases in ductility at the tested dosages, suggesting limited suitability under field conditions where flexibility is critical. PET demonstrated intermediate behaviour, with moderate improvements across most properties.Overall, the study provides clear insights into the property interactions of commonly available waste plastics when blended with bitumen. By mapping the performance trade-offs across different plastic types and dosages, the research contributes practical guidance for selecting materials that achieve both engineering benefits and environmental sustainability. The outcomes reinforce the potential of plastic-modified bituminous pavements as a dual solution to waste recycling and infrastructure performance enhancement
BI-LSTM MODELS FOR OPTIMIZED CROP SELECTION AND YIELD FORECAST IN PRECISION AGRICULTURE
No full textAgriculture is necessary to feed the world's population, and with climate change and limited resources, it is becoming more and more important to pick the correct crops and guess how much they will produce. This research introduces a deep learning framework that employs Bidirectional Long Short-Term Memory (Bi-LSTM) networks to enhance decision-making in crop selection and accurately predict crop yields. The model incorporates historical data on farming, such how crops have done in the past, the weather (temperature, rainfall, and humidity), and the soil's characteristics. Bi-LSTM is better than regular machine learning models and unidirectional LSTMs since it can find temporal relationships in both directions. The proposed system is trained and evaluated using publicly accessible agricultural information. It can precisely predict how much of a crop will grow and advise the best kind of crops for various places. The study used the Agricultural Crop Yield dataset to train and test the Bi-LSTM model. To discover the Mean Absolute Error, Root Mean Squared Error, R² score, and Mean Absolute Percentage Error, the performance is compared to various methods like Linear Regression, Random Forest, and a basic LSTM. The Bi-LSTM model works best, with an MAE of 0.32, an RMSE of 0.47, and a R² score of 0.91. This study's findings may assist farmers, agronomists, and policymakers in optimizing resource use and enhancing agricultural productivity using data-driven insights
EVALUATING AI-DRIVEN CHATBOTS FOR DECISION-MAKING SUPPORT: A MIXED-METHODS APPROACH ACROSS INDUSTRY DOMAINS
No full textThe rapidly encroachment of Artificial intelligence (AI) takes revolutionized the way organizations and individuals make decisions, with smart chatbots emerging as powerful tools in various domains. This paper explores the contribution of AI-based chatbots in accelerating informed decision-making by analyzing their capabilities, applications, and limitations. Employing a mixed-methods approach, this research investigates the integration of (NLP), machine-learning (ML), as well as data-analytics into Chatbot systems. The outcome shows that AI-enabled chatbots has a potential to increase and the efficiency and accuracy of enhance decision-making, it reducing the mental burden, and enhance the accessibility factor. However, there are certain challenges are always being there like data-privacy, ethical- considerations, and contextual-understanding remain significant. The study's conclusion discusses implications for the development and use of intelligent chatbots in decision-making processes in the futur
AN OVERVIEW OF FUZZINESS AND ITS APPLICATIONS
No full textFuzzy set (FS) has been comprehended substantial expansions across almost every branch of science, for its theoretical basis as well as widespread real-world applications in both scientific and everyday contexts. It has been acknowledged as a great tool for modelling human reasoning, and thus it has become a crucial method in several domains. This paper wishes to offer a brief outline to fuzzy logic, fuzzy graphs, and their applications. Based on outcomes from the study some examples demonstrating the application of fuzzy logic in home appliances are presented
An Appraisal of Technological Shifts and Digital Economy on Traditional Herbal Telemedicine
No full textAbstractTraditional herbal medicine has long served as an accessible and culturally rooted healthcare option in Africa, particularly where modern medical facilities are limited. However, its use is often accompanied by stigma, especially among Christians and Muslims, who associate visiting herbalists with superstition or unfaithfulness to religious teachings. This perception has created shame for individuals who seek herbal remedies openly, leading to underutilization despite their potential benefits. With the advent of technological shifts and the growth of the digital economy, traditional herbal telemedicine is emerging as a transformative alternative. Digital platforms and telehealth applications now allow herbal consultations to be conducted remotely, offering patients confidentiality, reduced stigmatization, and improved accessibility. Furthermore, digitization provides opportunities for standardization, documentation, and integration of herbal medicine into formal health systems, thereby enhancing credibility and safety. By bridging tradition and innovation, technological adoption also supports entrepreneurship and contributes to economic development within the digital economy. This study appraises the role of technology in reshaping traditional herbal medicine delivery, with a focus on reducing stigma while ensuring inclusivity, cultural preservation, and sustainable healthcare solutions. The findings suggest that embracing digital herbal telemedicine can mitigate religious and social barriers, promote health equity, and position indigenous medicine within modern health frameworks
SYNTHESIS OF GOLD NANOPARTICLES AND INTERACTION WITH AN ORGANIC DYE UNDER VARYING PH CONDITIONS: A UV–VISIBLE SPECTROSCOPIC STUDY
No full textGold nanoparticles or shortened as AuNPs possess unique optical and physicochemical properties, enabling them to be used in various applications such as in sensing, catalysis, photonics, and biomedical systems. In this study, gold nanoparticles were synthesized by the Turkevich citrate reduction method and their interaction with sodium fluorescein (NaFl) was investigated by UV–Visible spectroscopy under varying pH conditions. Spherical AuNPs have been seen to exhibit a surface plasmon resonance (SPR) peak in the 530–543nm region. Interaction studies revealed that sodium fluorescein demonstrated pH-dependent interaction, with clear evidence of dimer formation and enhanced adsorption onto the AuNP surface at alkaline pH (pH 9.2). This result highlights the interaction behaviour of structurally and functionally different organic dyes with gold nanoparticles, emphasizing the critical role of dye charge, structures of the molecules, and the pH of the solutions in governing nanoparticle–dye interactions
Socio-Economic Status of Fishermen Community of Chatla Beel of Cachar District, Assam
No full textIn this article, a study was carried out in three villages, namely Baluchuri, Dargakona, and Mithapani of Chatla Floodplain Lake to know the socio-economic condition of fisherman community. The community is a part of Kaivartya community, a traditional fishing community mostly prevalent in Assam and West Bengal. A total of 21 attributing parameters were considered and a detailed questionnaire was prepared from which the survey was conducted. It was observed that all the respondents are male population. On average, 38.89% were below 30 years of age, 45.56% were in between 31-50 years’ age group, and remaining were in the age group of above 50 years. A huge chunk of population fisherman was found to be married with low literacy rate. Similar, other aspects contributing in the socio-economy of the fisherman have been studied in details
A STUDY ON BIPOLAR COMPLEX FUZZY IDEALS IN γ-SEMIRINGS
No full textThis paper aspects on bipolar complex fuzzy subsets within the framework of -semirings and explains how they behave under the standard operations of the structure. In developing this viewpoint, we introduce the bipolar complex fuzzy bi-ideals and quasi-ideals, and emphasize the essential features that distinguish each of them. To clarify how these notions, operate in practice, we examine their positive and negative cut sets and show how these cuts link the fuzzy setting with the corresponding classical ideals. A few brief examples are included to illustrate the use of the definitions. We also investigated and established a few results by using our new definitions
Innovative Approach to Load-Settlement Curve for Improved Soil Analysis Using BWM Approach in Disaster Mitigation and Resilient Design
Full text linkUnderstanding the load transfer behavior at the interface between piles and soil is crucial for ensuring the stability and effectiveness of pile foundations. The allowable load that a pile can bear depends on various factors such as soil type, pile dimensions, and the interaction between the pile and surrounding soil. This study delves into the intricacies of load transfer at the pile-soil interface and proposes an innovative approach to accurately calculate these loads. Drawing upon an extensive review of existing literature for the last 3 decades, six studies presenting load transfer equations were identified as foundational to this research. Load-settlement curves were then generated using Octave software, accommodating a range of pile dimensions and soil types. To further refine load calculations, codes were developed to compute allowable bearing loads based on formulas from the Indian Standard code. Additionally, a decision tree model implemented in Python was utilized to predict the optimal load calculation methods for specific soil and pile conditions. Experimental findings unveiled significant variations in load-bearing capacities across different soil types and pile dimensions. The research further investigates six distinct methods for assessing allowable load—Point by Point Curve, Cubic Root Curve, Hiramaya Curve, Hyperbolic Curve, Krasinski Curve, and Root Curve. Each method was analyzed for its performance in load-settlement behavior, with the Hiramaya Curve emerging as the most conservative and reliable due to its lower allowable load estimates, which offer a higher factor of safety. A significant contribution of this study is the development of a merged curve that synthesizes the strengths of these six methods. This study initially evaluated weightage of each study using Best Worst Method (BWM) and then with the help of weightage a merged load settlement curve is drawn for various soil and various dimensions. The merged curve integrates unique parameters like load-bearing capacities and settlement behaviors, providing a comprehensive load-settlement model applicable across six soil types and five classes of pile dimensions. This tool enhances the accuracy and versatility of pile foundation design, offering geotechnical engineers a robust and adaptable model for a wide range of condition
Exploring Environmental Concern and Trust in Predicting Sustainable Packaging Purchase Intention: Extending the Theory of Planned Behaviour in a Tier II Indian City
Full text linkThis investigation delves into consumer purchase choices of sustainably packaged goods in a Tier II Indian city. The research uses the Theory of Planned Behaviour (TPB) while augmenting the model with two new variables environmental concern and trust. Data collected using a self administered questionnaire was a nalysed through Partial Least SquareStructural Equation Modelling (PLS SEM). TPB proved to be a reliable tool for predicting consumer intentions towards buying products with sustainable packaging. Additionally. extending the TPB model with additional com ponents strengthens its ability to predict consumer behaviour. The research article ends by presenting future research possibilities while offering recommendations to policymakers and manufacturers