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This study analyzes the variations within LaCrO3 induced by diamagnetic gallium (Ga) substitution at the chromium (Cr) sites, exploring the consequential changes in both structural configuration and magnetic attributes. Through structural characterization employing X-ray diffraction (XRD) and scanning electron microscopy (SEM), the modified lattice parameters and crystalline structure resulting from Ga incorporation are revealed, shedding light on the structural and phase modifications within the material. The magnetic property investigations unveil the impact on the weak ferromagnetism intrinsic to LaCrO3 and in Ga substituted samples. Additionally, this research scrutinizes the consequential shifts in entropy resulting from Ga substitution, offering insights into the material's thermodynamic properties. The findings elucidate the intricate relationship between structural modifications and magnetic properties within perovskite oxides, providing valuable insights into the multifunctional effects of Ga substitution on LaCrO3. [ABSTRACT FROM AUTHOR]

Due to the availability of a huge amount of epidemiological and public health data that require analysis and interpretation by using appropriate mathematical tools to support the existing method to control the mosquito and mosquito-borne diseases in a more effective way, data-mining tools are used to make sense from the chaos. Using data-mining tools, one can develop predictive models, patterns, association rules, and clusters of diseases, which can help the decision-makers in controlling the diseases. This paper mainly focuses on the applications of data-mining tools that have been used for the first time to prioritize the malaria endemic regions in Manipur state by using Self Organizing Maps (SOM). The SOM results (in two-dimensional images called Kohonen maps) clearly show the visual classification of malaria endemic zones into high, medium and low in the different districts of Manipur, and will be discussed in the paper. [ABSTRACT FROM AUTHOR]