Fakir Mohan University (FM University) is named after prominent Odia writer Fakir Mohan Senapati. The seat of the Vice-Chancellor is in the new campus located at Nuapadhi, Balasore, Odisha, India..
The powder samples of rare earth, Gd doped ZnO were synthesized by a wet chemical solution method. Structural analysis showed that all the samples crystallize in the hexagonal wurtzite structure of ZnO along with the impurity phases associated with Gd. The crystallite sizes, estimated using the Debye–Scherrer and Williamson–Hall methods, were found to be in the ranges of 29.63–43.02 nm and 31.64–56.81 nm, respectively. The morphological features showed nearly hexagonal rectangular particles with few rod shaped particles. The 3
Development of efficient, cost-effective, and multifunctional electrocatalysts is the key focus in renewable energy research. Cobalt-based electrocatalysts are widely used in the electrochemical HER, OER, and ORR. In this study, we report a novel multifunctional electrocatalyst composed of polyaniline (PANI) decorated with cobalt nanoclusters, synthesized via a simple solvothermal method. The uniform distribution of amorphous cobalt nanoclusters within the PANI matrix provides abundant active sites, high electrical conductivity, and high surface area, resulting in excellent trifunctional electrocatalytic activity. The Co60@PANI catalyst exhibits a high half-wave potential of 0.74 V versus RHE and limiting current density of -4.82 mA cm-2 in 0.1 M KOH for the ORR. The catalysts also achieve low overpotentials of 292 and 320 mV at 10 mA/cm2 for HER and OER, respectively, in 1 M KOH. This finding provides a foundation for the development of highly efficient and multifunctional electrocatalysts toward energy conversion processes.
This article presents the local convergence analysis of a fifth-order Potra–Pták-like iteration method for solving nonlinear equations in Banach spaces. Our convergence analysis depends exclusively on the first-order derivative, in contrast to existing results that establish fifth-order convergence using the classical Taylor series approach, which requires higher-order derivatives. A comprehensive extended ball convergence theorem for the proposed method is developed, providing explicit expressions for the radius of convergence, error estimates, and the uniqueness domain of the solution. Furthermore, the dynamic behavior of this iterative method is explored using the concept of basins of attraction, which visually demonstrate the convergence regions for different complex polynomial equations. We analyze and compare two cases of the method, known as PTKM5-I and PTKM5-II, in terms of their numerical examples and dynamic characteristics. The numerical results are also compared with the existing iteration method, showing that both cases of the proposed method have improved performance compared to the existing method, with PTKM5-I providing a wider convergence region than PTKM5-II. Theoretical and numerical analyses confirm the effectiveness and robustness of the proposed iteration scheme.
The Sundarbans, the world's largest mangrove forest located at the confluence of the Ganges, Brahmaputra, and Meghna rivers, is highly vulnerable to tropical cyclones originating in the Bay of Bengal. This study evaluates the immediate ecological and geomorphological impacts of Cyclone Remal (24-27 May 2024) on the Sundarban Biosphere Reserve (SBR), with a focus on vegetation degradation, shoreline dynamics, and flood inundation. A multi-index geospatial approach was employed using NDVI, EVI, the Modified Vegetation Condition Index (mVCI), and the Disaster Vegetation Damage Index (DVDI) to assess vegetation health. Shoreline changes were analyzed using the Digital Shoreline Analysis System (DSAS) and Net Shoreline Movement (NSM), while Sentinel-1 SAR data were used for flood mapping. The results indicate a 38.05% decline in dense vegetation and a 76.25% increase in sparse vegetation, with mVCI and DVDI revealing that 18.01% of the region experienced severe damage. Shoreline erosion was more pronounced in the Indian Sundarbans (mean retreat of 43.16 m) compared to Bangladesh (28.78 m). Approximately 97% of the flood-affected area was in non-mangrove zones, underscoring the protective role of mangroves. The study highlights the effectiveness of multi-index geospatial analysis for rapid post-disaster assessment and underscores the urgent need for adaptive conservation and disaster resilience strategies in climate-sensitive coastal ecosystems like the Sundarbans.
Occupational noise exposure remains a critical but under-prioritized hazard in the global mining industry, contributing significantly to noise-induced hearing loss (NIHL). Workers in drilling, blasting, crushing, and haulage operations routinely face sound levels exceeding 85 dB(A) thresholds, often without adequate protective measures. Despite technological advances, systematic gaps persist in occupational noise hazards (ONH) research and prevention strategies. This study of systematic literature review and metadata analysis consolidate five decades of global research on occupational noise hazards in mining to evaluate methodological approaches, identify underrepresented regions and worker groups, and assess thematic trends for future occupational health strategies. The initial search yielded 69 articles, of which 65 were included for the present study. The review confirmed that most mining activities expose workers to noise levels exceeding 85 dB(A), with NIHL highly prevalent among long-tenured employees. Shift toward data-driven, interdisciplinary frameworks is needed to transform hearing protection from a compliance obligation to a health-preserving imperative.
