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The possible health advantages and abundance of physiologically active substances in mushrooms make them a prized food. To preserve mushrooms and extend their shelf life, drying is a commonly used method. This paper seeks to investigate various mushroom drying methods and analyze their impact on the physicochemical properties of mushrooms. When mushrooms are dried, the chemical and physical characteristics of the product change, potentially losing nutrients and changing in texture and flavor. To ascertain their effect on the quality of the mushrooms, it is crucial to research the various drying systems. The goal of this review is to analyze and assess the various drying methods for mushrooms, namely, solar drying, hot air drying, microwave drying, infrared drying, vacuum drying, osmotic drying, ultrasound-assisted drying, freeze drying, and electrohydrodynamic drying. The article also attempts to examine how these techniques affect the physicochemical properties of mushrooms that have been identified by numerous studies. According to the records, freeze-dried mushrooms exhibited superior preservation of texture and higher levels of antioxidants compared to hot air-dried and sun-dried mushrooms. On the other hand, microwave-dried mushrooms had greater amounts of total phenolic compounds and antioxidant activity but lower levels of vitamin C compared to hot air-dried mushrooms. Therefore, it is essential to consider the impact of the drying method on the nutritional and sensory properties of the mushrooms to ensure that the final product meets the desired standards.

The Himalayan cryosphere is dynamic, and changing climate conditions threaten breach of glacial lakes. A number of glacial lake outburst floods (GLOFs) occurred in the Himalayas in the recent past, affecting people and infrastructures. Assessment of high-altitude glacial lakes is required to avoid associated hazards and mitigate the impacts. In this study, we have made an inventory of naturally formed lakes within the Sikkim Himalayas, including Nepal, Bhutan, and China, and discussed the GLOF susceptibility. A total of 399 lakes have been identified, out of which 281 lakes have an areal coverage greater than 0.01 Km2. Monitoring temporal changes shows a higher rate of areal increment for the lakes close to the western boundary of Sikkim. Using an Analytical Hierarchy Process (AHP) based on fifteen parameters, a number of glacial lakes show medium to high GLOF susceptibility in the Himalayan and surrounding regions. Three backpropagation multilayer perceptron neural network (BPMLPNN) models with Bayesian Regularization (BR-), Levenberg-Marquardt (LM-), and Gradient Descent with Momentum and Adaptive Learning Rate (GDX-) optimizers are designed to have better prediction accuracies compared to the AHP target scores. The BR-BPMLPNN model is observed with maximum performance and close similitude with the results obtained from the LM-BPMLPNN model.