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Climate Change Effects on Shrimp Production in Bangladesh: Economic Insights for Declining Export Revenues
(Premier University, Chattogram, 2026-03) Dey, Sudip
Shrimp, often called to as the "white gold" of Bangladesh, ranks as the second most exported product after ready-made garments. The shrimp industry is crucial for increasing national income, generating employment, and earning foreign currency for Bangladesh, but it is adversely affected by various climate-related factors. Applying unit root tests, co-integration, ordinary least squares (OLS) methods, and one-way ANOVA, the study evaluates how climate factors influence shrimp production and assesses whether foreign exchange earnings have significantly increased with the rise in shrimp production from 1990 to 2022. The results reveal that moderate humidity, greenhouse gas emissions, mean temperature, and rising Ganges water levels positively affect shrimp production, with greenhouse gas emissions, mean temperature, and water level increases showing significant results at the 1 percent level of significance. Conversely, precipitation and areas affected by flooding have adverse effects on shrimp production, also significant at the 1 percent level. Additionally, despite the rise in shrimp production, export earnings have not increased significantly, although they have a long-run association. The research identifies several factors contributing to the decline in export revenue, including limited product variety, high production costs, global economic downturns, decreased global demand, rising domestic consumption, trade barriers, inadequate export subsidies, dishonest trading practices, lack of quality control, reliance on extensive farming, the Covid-19 pandemic, devaluation of domestic currency, and inefficient supply chain management. This study proposes key strategies to enhance shrimp export revenues, including diversifying into value-added shrimp products, increasing the production of vannamei shrimp, integrating modern technologies, ensuring the availability of healthy fingerlings, adopting semi-intensive farming practices, improving supply chain management, modernizing processing facilities, boosting incentives for exporters, and maintaining political stability.
Optimizing COVID-19 Pneumonia Detection: A Comparative Analysis of YOLOv3, YOLOv4, and YOLOv6 Models
(Premier University, Chattogram, 2026-03) Munna, Mohammed Saifuddin; Hossain, Dr. Quazi Delwar
The COVID-19 pandemic has underscored the critical need for expeditious and accurate detection methods to manage and mitigate the spread of the virus. Swift and precise identification of COVID-19 pneumonia is crucial for immediate intervention and treatment, reducing the strain on healthcare systems and improving patient outcomes. Currently, pneumonia diagnosis employs many deep learning models, such Custom CNN, VGG16, and ResNet50. Nevertheless, these models often suffer from a lack of precision and computational efficiency. This study does a comprehensive comparative analysis of three YOLO (You Only Look Once) models, specifically YOLO v3, YOLO v4, and YOLO v6, with the aim of diagnosing COVID-19 pneumonia by examining chest X-ray images. We utilized a dataset of 7300 photographs, with each category comprising 1300 cases of viral pneumonia, 3000 instances of COVID-19 pneumonia, and 3000 instances of normal chest X-rays. Our study findings indicate that YOLO v6 outperforms prior iterations and other deep learning models, boasting a mean average precision (mAP) of 98.79%. This showcases its formidable capacity to precisely distinguish between separate categories and its overall resilience. The results illustrate the ability of advanced YOLO models to improve diagnostic procedures by offering higher levels of accuracy and efficiency. Rapid diagnostic capabilities are particularly vital during pandemics, since they can significantly alleviate the strain on public health and hospital resources.
Efficient Image Encryption Using DNA Encoding Rules and Modular Arithmetic Operation
(Premier University, Chattogram, 2026-03) Chowdhury, Farhana Shirin; Dhar, Kingshuk
In today's dynamic world, we rely heavily on online communication for day-to-day communication. Confidentiality becomes essential when sending digital data, including images. One of the best ways to ensure secrecy is through picture encryption. In this context, we propose a novel technique for image encryption that combines DNA encoding rules and modular arithmetic operation. In our proposed method, the position of each pixel is first changed by applying a modular arithmetic operation to the current position of each pixel of the host image using a secret key. Then, the image is split into non-overlapping blocks following the circular shift operation. The pixel values of each pixel in each block are then modified by using logical operations to the current pixel value and DNA encoding rules. Extensive testing has been done to validate the effectiveness of this approach. It is evident from statistical and differential analysis that our suggested system offers robust defense against different kinds of attacks, such as histogram attacks, correlation-based attacks, chosen plaintext and known plain text attacks, and so on. Furthermore, our technique outperforms other well-known systems in some critical aspects, thereby demonstrating its potential to advance the field of image encryption significantly.
The Impact of Visual Marketing Strategies on Consumer Purchase Intension in Online Shopping
(Premier University, Chattogram, 2026-03) Parveen, Julia
This study examines five important factors to determine how visual marketing strategies affect consumer purchase intentions in Bangladeshi online shopping: visual appeal, perceived value, information design, brand trust, and customer experience. The researcher used regression modeling, ANOVA, and exploratory factor analysis to examine these relationships using information gathered from 400 Bangladeshi consumers via structured questionnaires. Three separate but related factors influence purchase intention, according to our research: (1) emotional reactions (represented by visual appeal), (2) logical assessments (represented by perceived value), and (3) real-world interactions (embodied in customer experience). The strongest predictor among these was perceived value (β = 0.289, p < 0.001), which was followed by customer experience (β = 0.179) and brand trust (β = 0.214). Interestingly, information design had no direct significant effect, and visual appeal had a significant influence on purchase intention (β = 0.158). This suggests that emotional engagement and perceived benefits are more important in driving purchases in Bangladesh's online market than information structure. These findings offer both theoretical and practical contributions. Theoretically, they support the idea that consumer choices in emerging markets are complex processes that incorporate experiential, cognitive, and emotional elements. In a practical sense, they direct e-commerce platforms to give visuals top priority when conveying product value and establishing brand trust, all the while facilitating seamless shopping experiences. The study makes recommendations for future research on cultural differences in the efficacy of visual marketing and provides particular insights for marketers aiming to reach Bangladesh's expanding digital consumer base.
Cultural Translation and Hybrid Subjectivity in Jhumpa Lahiri’s Whereabouts
(Premier University, Chattogram, 2026-03) Islam, Md Rafiqul
Jhumpa Lahiri’s Whereabouts (2021) resists conventional diaspora narratives by portraying identity as a fluid and affective process shaped by cultural translation and hybridity. Drawing on Talal Asad’s theory of cultural translation and Homi K. Bhabha’s concept of the “third space,” this paper argues that the protagonist’s emotional dislocation and liminality are not merely personal but embedded in asymmetrical power dynamics of cross-cultural meaning-making. Through qualitative textual analysis and thematic interpretation, the study examines key passages to show how identity is continuously reconfigured through fragmented memories, spatial movement, and symbolic acts of self-translation. The novel’s minimalist style, absence of proper nouns, and use of unnamed spaces underscore Lahiri’s resistance to fixed cultural identities, emphasizing universal human experiences over specific cultural markers. Recurring metaphors such as water and mobility further illustrate the instability of belonging in a globalized world. The analysis suggests that identity in Whereabouts emerges through negotiation rather than assimilation, existing in the in-betweenness where meaning is contested, unstable, and emotionally charged. Methodologically, this study relies on interpretive strategies rooted in cultural theory to explore recurring motifs and narrative structure. It contributes to literary scholarship by reframing the novel not only as a meditation on solitude but as a nuanced exploration of identity as an ongoing process shaped by language, memory, and transcultural experience.