Sambalpur University is located in Burla town, of district Sambalpur, India, in the Indian state of Odisha. Popularly known as Jyoti Vihar, it offers courses at the undergraduate and post-graduate levels. Governor of Odisha is the Chancellor of the university. The campus is located 15 km away from Sambalpur.
Rapid industrial expansion in emerging urban districts is increasingly transforming land systems and modifying local thermal regimes, yet long-term assessments from secondary industrial hubs remain limited. This study evaluates three decades (1993–2023) of land use/land cover (LULC) change and associated land surface temperature (LST) dynamics in Jharsuguda district, eastern India, using multi-temporal Landsat imagery integrated with GIS-based analysis. Six LULC classes were delineated using maximum likelihood supervised classification and validated with ground control points and normalized difference vegetation index (NDVI), yielding overall classification accuracies exceeding 91
Considering the space constraints, improving energy density in a restricted area or volume is crucial for developing viable, lightweight energy-storage devices. Herein, an all-organic electrode (PCA) is developed by covalently functionalizing carbon dots with redox-active 9-anthraldehyde and using poly(vinyl alcohol) as the binder, enabling a strong diffusion-limited charge storage process. The as-prepared electrode with anthraldehyde coated on graphite foil delivers an areal capacitance of 143 mF cm-2 (200 F g-1) at 5 mV s-1, which is significantly higher than that of the electrode without anthraldehyde, attributed entirely to the diffusion-limited charge storage process. The as-prepared symmetric supercapacitor with low active mass loading (2.2 mg cm-2) facilitates enhanced electrolyte diffusion, lower series resistance, and higher energy efficiency, delivering a high energy density of 8.3 mWh cm-2 and a peak power density of 1560 mW cm-2 with capacitance retention of 78% over 10,000 GCD cycles with an energy efficiency of 98%. Further, the device's volume allows it to produce an exceptional energy density of 553.5 mWh cm-3 and a peak power density of 104 W cm-3, outperforming many organic- and inorganic-based supercapacitors.
The study examined 296 research articles published in the Annals of Library and Information Studies (ALIS) during 2011 to 2020 to identify trends in Library and Information Science (LIS) research, focusing on the research methods used. The research finds Bibliometrics and Scientometrics emerged as the dominant areas of study. Bibliometrics and Surveys of various types were the most used research methods with Web of Knowledge and Scopus being the preferred data sources to ensure reliability for their findings. Questionnaires and Likert scales were frequently used for data collection, with purposive and random sampling as the primary selection methods. Statistical data analysis often involved frequency counts and simple percentage analysis, followed by descriptive and inferential statistics. MS Excel and SPSS were the preferred software/tools for data analysis. Citation analysis revealed that journals were the most cited sources, particularly Scientometrics and Annals of Library and Information Studies. The findings provide a comprehensive overview of the methodologies and trends within LIS research.
This study conducts a scientometric analysis of global research on diabetes treatment from 2020 to 2024, It aims to examine the quantitative publication trends, identify prolific authors and core journals, map influential themes and scholarly networks, and visualise international collaboration patterns. Data were retrieved from the Scopus database using a comprehensive Boolean search string, refined by inclusion and exclusion criteria, resulting in 4,073 relevant documents. VOSviewer and Biblioshiny R were employed for advanced scientometric visualisation and interpretation, including Thematic Map co-authorship, co-occurrence, bibliographic coupling, and factorial analysis. The results indicate a steady increase in research output, with the highest relative growth rate is 0.792 in 2021, declining to 0.261 in 2024. Citation metrics showed that publications from 2020 had the highest impact of 17.53, while 2024 publications exhibited lower citation counts due to a shorter citation window. Co-occurrence analysis identified "type 2 diabetes," "metformin," and "glycemic control" as central keywords, reflecting thematic dominance in pharmacotherapy and complications. Thematic retinopathy), and emerging themes (e.g., diabetic foot ulcers). Co-authorship mapping identified Khunti K. and Ji Linong as key contributors, while Diabetes Care emerged as the most influential journal. Country collaboration networks showed the USA, China, and the UK as leading contributors, with the UK having the highest percentage of international collaboration of 48.7%.
Metal-organic frameworks (MOFs) have emerged as a versatile class of porous crystalline materials due to their tunable structures, large surface areas, and diverse functionalities. Among them, copper-based MOFs (Cu-MOFs) are of particular interest because of the redox activity of copper centers, flexible coordination chemistry, and high affinity for various organic linkers. These features make Cu-MOFs promising candidates for a wide range of applications spanning catalysis, energy conversion and storage, and chemical sensing. This review highlights recent advances in the synthesis and design strategies of Cu-MOFs, including conventional solvothermal and hydrothermal routes, microwave- and sonochemical-assisted methods, electrochemical synthesis, and postsynthetic modifications. Particular emphasis is placed on the ability of these synthetic approaches to tune particle size, morphology, porosity, and stability, which, in turn, dictate their functional performance. The catalytic applications of Cu-MOFs are critically examined, with a focus on photocatalysis, electrocatalysis, and heterogeneous catalytic processes for pollutant degradation, hydrogen production, and carbon dioxide reduction. In the context of energy storage, the integration of Cu-MOFs into supercapacitors and batteries is discussed, highlighting their roles in enhancing the capacity, conductivity, and cycling stability. Furthermore, the potential of Cu-MOFs as sensitive and selective sensing platforms for gases, biomolecules, and environmental pollutants is explored, underscoring their versatility beyond catalytic applications. Despite rapid progress, key challenges remain in scaling up the synthesis, ensuring long-term structural stability, and integrating Cu-MOFs into practical devices. Future research directions include the development of cost-effective green synthesis methods, hybrid composite materials with enhanced conductivity, and defect and interface engineering to tailor activity and durability. Overall, Cu-MOFs represent a highly adaptable platform whose continued advancement may significantly impact sustainable energy technologies, environmental remediation, and next-generation sensing systems.
