Pabna University of Science and Technology (PUST) (Bengali: পাবনা বিজ্ঞান ও প্রযুক্তি বিশ্ববিদ্যালয়) is a government financed public university in Bangladesh. PUST was established in 2008. It is the first science and Technology University and third public University in Rajshahi Division. It started its four-year undergraduate programme in 2009.This university plays an innovative role in providing need-based higher education, training, and research. It is the 7th science and technology University and 29th public University in Bangladesh.Like other public universities, PUST's admission test is considered to be very competitive. Based on the results of the Higher Secondary Examination every year, an estimated 50,000 students take the admission test against only 950 seats.
Zinc oxide nanoparticles (ZnO NPs) were synthesized through green-approach methods using aqueous solution of fallen Aegle marmelos leaf extract. The prepared NPs were characterized using different spectroscopy techniques including Fourier Transform Infrared (FTIR), Dynamic Light Scattering (DLS), X-ray Diffraction Patterns (XRD) and electron microscopy such as Field Emission Scanning Electron Microscopy (FESEM). XRD study confirmed the formation of crystalline hexagonal ZnO phase (wurtzite structure) with an average crystal size of 21.23 nm. FESEM analysis suggests the formation of 57.32 nm of ZnO NPs and the particles are almost spherical and moderately polydispersed. FTIR showed the vibration peaks for alkaloids, flavonoids and phenolic compounds which could act as both a reducing agent and a stabilizer for the prepared NPs. The high colloidal stability of the NPs is confirmed from the high ξ potential (-33.6 mV). The synthesized NPs showed concentration-dependent antioxidant activity with an IC₅₀ of 47.67 µg/mL, indicating strong but lower potency than ascorbic acid (12.39 µg/mL). The prepared NPs were utilized for the application of antibacterial activity and anti-diarrheal activity. The NPs exhibited higher antibacterial activity for S. aureus pathogen (ZOI, 18.2 ± 0.4) among the four identified different gram-positive and gram-negative strains, with maximum efficacy observed at higher concentrations (100 µg/mL) of NPs dose. The biosynthesized ZnO NPs were found to have excellent anti-diarrheal activity for both the 200 mg/kg and 400 mg/kg NPs doses. Overall, this study shows a sustainable waste-to-nanomaterial strategy that combines green synthesis with multifunctional biomedical potential.
The rapid emergence of TikTok as a short-form video platform has fundamentally reshaped the ways in which retail investors, particularly younger and less experienced users, access, process, and act upon financial information. Despite the platform’s growing prominence, scholarly understanding of the mechanisms through which TikTok financial content influences investor decision-making remains limited. Drawing on the Elaboration Likelihood Model (ELM), this study examines both cognitive and heuristic pathways that underlie investor responses to TikTok content, focusing on how central route processing (CRP) and peripheral route processing (PRP) mediate the relationship between content characteristics and financial behavior. Data were collected via a structured survey from 320 retail investors who actively engage with TikTok for financial information. Key content features—including credibility, clarity, engagement, informational quality, and popularity cues—were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess their effects on CRP, PRP, investment intention, and risk-taking behavior. The results indicate that high-quality, credible, and engaging content significantly enhances CRP, which in turn strengthens investment intentions and subsequently drives risk-taking behavior. In contrast, PRP primarily attracts attention and heuristic evaluation, exerting a comparatively limited influence on actual trading behavior. These findings underscore the primacy of cognitive elaboration over heuristic cues in shaping investment outcomes and provide both a theoretical extension of the Elaboration Likelihood Model and practical guidance for regulators, educators, content creators, and social media platforms seeking to foster informed and responsible retail investing.
Understanding the interplay between financial markets, energy dynamics, and environmental factors is crucial for fostering sustainable economic growth. This study examines the dynamic interactions between equity market volatility, energy prices, carbon emissions, and economic growth in the United States. Using advanced econometric techniques such as Quantile Regression, Quantile-on-Quantile Regression and Wavelet Coherence Analysis, the research captures the heterogeneous effects of these variables across different economic conditions. The findings reveal that equity market volatility has a nonlinear impact on economic growth, with its effects varying across growth quantiles. While energy prices and carbon emissions positively influence economic growth at lower levels, their impact diminishes or turns negative at higher levels, highlighting threshold effects. Additionally, wavelet coherence analysis identifies time-varying relationships, particularly during economic crises. These results offer critical policy insights, emphasizing the need for balanced financial regulations, sustainable energy strategies, and environmental policies that support economic resilience while mitigating carbon emissions. This study contributes to the literature by integrating financial market dynamics with energy and environmental considerations, providing a comprehensive framework for economic sustainability.
Remote island regions in Bangladesh continue to experience unreliable and costly electricity supply due to geographical isolation, weak grid infrastructure, and dependence on fossil fuels. This study addresses this challenge by developing a smart hybrid microgrid for Hatiya Island that integrates solar photovoltaic (PV), wind turbines (PV), battery energy storage system (BESS), and grid support to achieve cost-effective, stable, and low-carbon electrification. The proposed system is optimized using HOMER Pro (v3.14.2) through offline techno-economic optimization to determine the least-cost component sizing and system configuration based on Net Present Cost (NPC) and Cost of Energy (COE). The optimal configuration obtained from HOMER Pro is subsequently evaluated using MATLAB-based simulations to assess dynamic voltage and frequency stability under renewable intermittency and load variations. In addition, a demand response strategy is analysed to enhance load flexibility, and a multi-parameter sensitivity analysis is performed to examine the influence of key meteorological, economic, and grid reliability parameters on system performance. The optimal configuration achieves a low cost of energy (COE) of 0.0214 $/kWh and a net present cost (NPC) of 30,808 $, with a capital investment of 29,303 $ and annual operating cost of 112.24 $. The system attains a 56.3% reduction in CO2 emissions, lowering annual emissions to 16,583 kg, while demand response implementation results in annual energy savings of 3,338.36 kWh. Dynamic simulations confirm stable voltage and frequency performance under varying operating conditions. These results demonstrate that the proposed hybrid microgrid offers a reliable, economically viable, and environmentally sustainable electrification solution for remote island communities, providing a scalable framework for renewable-based power systems in coastal regions of Bangladesh.
ZW10 (Zeste White 10) plays an essential role in maintaining chromosomal stability during cell division. However, its contribution to tumor development, particularly in colon adenocarcinoma (COAD) remains poorly understood. This study aimed to comprehensively investigate the expression pattern, epigenetic regulation, immune relevance, prognostic significance, and molecular interactions of ZW10 in colon cancer. We analyzed transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) to assess ZW10 expression across cancer types. Differential expression, survival analysis, DNA methylation profiling, immune cell correlation, and co-expression network analyses were conducted using bioinformatics and statistical approaches including TIMER, TNMplot, ULCAN, GSCA, and GEPIA2. Kaplan–Meier survival analysis was performed to evaluate the prognostic significance of ZW10 in COAD. ZW10 was significantly upregulated in COAD and showed strong associations with advanced tumor stage, nodal metastasis, and TP53 mutation (p < 0.001). Promoter methylation analysis revealed increased methylation levels in tumors compared to normal tissues (p < 0.001), suggesting potential epigenetic regulation. ZW10 expression positively correlated with various immune cell infiltrates, indicating the role of ZW10 in modulating the tumor microenvironment. High ZW10 levels were associated with reduced overall survival (HR = 1.23; p = 0.045), whereas higher ZW10 levels correlated with improved relapse-free survival (HR = 0.62; p = 1.7e-05). Gene co-expression analysis indicated that ZW10 is associated with key oncogenic pathways regulating mitosis and cell proliferation. ZW10 may contribute to colon cancer progression and represent a context-dependent biomarker and therapeutic target, though its prognostic value requires further validation.
