Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings

Likelihood-free inference is quickly emerging as a powerful tool to perform fast/effective parameter estimation. We demonstrate a technique of optimizing likelihood-free inference to make it even faster by marginalizing symmetries in a physical problem. In this approach, physical symmetries, for example, time-translation are learned using joint-embedding via self-supervised learning with symmetry data augmentations. Subsequently, parameter inference is performed using a normalizing flow where the embedding network is used to summarize the data before conditioning the parameters. We present this approach on two simple physical problems and we show faster convergence in a smaller number of parameters compared to a normalizing flow that does not use a pre-trained symmetry-informed representation.Comment: Accepted for Machine Learning and the Physical Sciences Workshop (submission 69) at NeurIPS 2023; for codes, see https://github.com/ML4GW/summer-projects-2023/blob/neurips-2023/symmetry-informed-flows/README.m

Long-term organic farming impact on soil nutrient status and grain yield at the foothill of Himalayas

This study aimed to document the effects of the long-term organic farming (OF) on soil quality, agronomical parameters, crop productivity, and food grain yield compared to the conventional farming (CF) system. The crop used in this study is chickpea (Cicer arietinum), and the field was located at Pantnagar, India, in the foothills of Himalayas. The organic farming approach involved utilizing a blend of farmyard manure and vermicompost, combined with a biopesticide comprising neem oil and cow urine. Chickpea grain micronutrient analysis was done via atomic absorption spectrophotometry. It was found that the physicochemical properties of soil in the organic plot were improved compared to the conventional counterpart. At the post-harvesting stage, the organically managed field had higher soil organic carbon than the conventional field (OF-0.93± 0.05%, CF-0.75 ± 0.12%), higher available nitrogen (OF-317 ± 11 kg/ha, CF-240 ± 22 kg/ha), and more available phosphorus (OF-37.4 ± 1.3 kg/ha, CF-25.2 ± 2.5 kg/ha). The agronomical parameters of the chickpea crop were better under organic cultivation, with a significantly high nodule number, nodule dry weight, and grains per pod. Hence, the grain yield of the crop was better under organic cultivation, with the yield of 1,048 kg ha−1, whereas it was 896.5 kg ha−1 for conventional cultivation. The Fe and Zn contents of organically produced chickpea grains were almost double of their conventional counterpart. Therefore, organic cultivation led to better soil fertility, chickpea grain yield, and nutrient status of the crop. It will be beneficial for the nutritious and sustainable production of chickpeas in Himalayan regions

Comparative e-waste plastics biodegradation efficacy of monoculture Pseudomonas aeruginosa strain PE10 and bacterial consortium under in situ condition

A significant amount of electronic obsoletes or electronic waste (e-waste) is being generated globally each year; of these, ~20% of obsolete electronic items have plastic components. Current remediation practices for e-waste have several setbacks due to its negative impact on the environment, agro-ecosystem, and human health. Therefore, comparative biodegradation studies of e-waste plastics by monoculture Pseudomonas aeruginosa strain PE10 and bacterial consortium consisting of Achromobacter insolitus strain PE2 (MF943156), Acinetobacter nosocomialis strain PE5 (MF943157), Pseudomonas lalkuanensis PE8 (CP043311), and Stenotrophomonas pavanii strain PE15 (MF943160) were carried out in situ. Biological treatment of e-waste with these candidates in soil ecosystems has been analyzed through diversified analytical techniques such as Fourier transform infrared spectroscopy (FTIR), thermogravimetric-derivative thermogravimetry-differential thermal analysis (TG-DTG-DTA), and scanning electron microscopy (SEM). Both P. aeruginosa strain PE10 and the bacterial consortium have a tremendous ability to accelerate the biodegradation process in the natural environment. However, FTIR analysis implied that the monoculture had better efficacy than the consortium, and it was consistent until the incubation period used for the study. Some polymeric bonds such as ν C=C and δ C-H were completely removed, and ν C=C ring stretching, νasym C–O–C, νsym C–H, etc. were introduced by strain PE10. Furthermore, thermal analysis results validated the structural deterioration of e-waste as the treated samples showed nearly two-fold weight loss (WL; 6.8%) than the untreated control (3.1%) at comparatively lower temperatures. SEM images provided the details of surface disintegrations. Conclusively, individual monoculture P. aeruginosa strain PE10 could be explored for e-waste bio-recycling in agricultural soil ecosystems thereby reducing the cost, time, and management of bioformulation in addition to hazardous pollutant reduction

ICAR: endoscopic skull‐base surgery

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Plant protection: from chemicals to biologicals/ edited by Ravindra Soni, Deep Chandra Suyal and Reeta Goel.

1 online resource (1 volume)