Effect of Planting Methods and Forage Crop Combinations on Fodder Productivity through Moisture Conservation

Out of 140.02 million ha cultivated area of the country, 76.76 million ha (54.82 %) is rainfed having soils with poor fertility and numerous physiochemical constraints. The productivity of animals is very low because of shortage of green fodder during most of the years. The poor feed quality and dry season feed shortage are the serious limitations for livestock production in rainfed areas & farmers maintain a large herd of animals to compensate for the low productivity of the livestock, which adds to the pressure on land and fodder resources (Pathak, 2005). Western Maharashtra region suffers from very low rainfall with uncertainty and ill distribution. Occurrence of drought noticed once in three years. The water scarcity and delayed monsoon are major problems of crop production. The efforts needed to increase production through suitable agro forestry system fit to the land, climate and resources. Incorporation of trees and bushes particularly of fodder values in agricultural production system through a systematic manner will help in providing sufficient fodder to the farmers without affecting arable crop yields (Deb Roy, 1994). Cenchrus ciliaris and Dichanthium anulatum are potential fast growing range grasses and having good regeneration capacity and can withstand moisture stress for fairly long time. Desmanthus, Siratro and Stylosanthes are legume fodder species which give nutritious fodder and could be grown under rainfed situations. Grasses and legume contributed to binding and soil stabilization due to their extensive root system. The overall impact of the soil conservation measures and pastoral systems resulted in increased infiltration rate, reduced soil loss and increased water stable aggregates. Therefore high productive, more palatable, perennial and persistent legumes like Stylosanthes and Desmanthus are thought to be the best suitable to overcome protein deficiency. Keeping the above points in view, the present study was undertaken to develop appropriate fodder production technology under rainfed conditions through moisture conservation

TimeFabric: Trusted Time for Permissioned Blockchains

As the popularity of blockchains continues to rise, blockchain platforms must be enhanced to support new application needs. In this paper, we propose one such enhancement that is essential for financial applications and online marketplaces - support for time-based logic such as verifying deadlines or expiry dates and examining a time window of recent account activity. We present a lightweight solution to reach consensus on the current time without relying on external time oracles. Our solution assigns timestamps to blocks at transaction validation time and maintains a cache reflecting the effects of recent transactions. We implement a proof-of-concept prototype, called TimeFabric, in Hyperledger Fabric, a popular permissioned blockchain platform, and experimentally demonstrate high throughput and minimal overhead (approximately 3%) of maintaining trusted time. We also demonstrate a 2x performance improvement due to the cache, compared to reconstructing account histories from the ledger

Electron and Positron Collision with Neon at Intermediate Energies

In present paper differential scattering cross section and total scattering cross section for the first excited state of neon by electron as well as positron are reported and comparison is made with different available theoretical and experimental data. The present calculation is done with R matrix theory. We have chosen a complex type potential, a part of which is directly calculated from the target charge density and other part is taken from Baluja and Jain. The present work yields a satisfactory result for differential cross section while previously large discrepancies were found in theoretical and experimental data. More positron results are required for the best judgment of present calculation

Reactive Extraction of Propionic Acid Using Aliquat-336 in 2-Octanol: Linear Solvation Energy Relationship (LSER) Modeling and Kinetics Study

Reactive extraction is an important recovery method for extraction of propionic acid from dilute streams, providing numerous advantages like high selectivity and recovery. Equilibrium and kinetic study of reactive extraction is essential to choose a proper extractant-diluent for acid recovery and ascertain the kinetic parameters essential for design of the process. In this paper, the linear solvation energy relationship (LSER) modeling of reactive extraction of propionic acid using Aliquat 336 in 2-octanol as diluent was presented to obtain the model parameters. Also, the kinetics of extraction in stirred cell was presented to explain the progress of reactive extraction of propionic acid using Aliquat 336 in the diluent. The reaction was found to be fast pseudo first order. To design the reactor to carry out reactive extraction, the kinetic parameters evaluated are essential. Modeling using LSER model predict a close resemblance of experimental data

Machine Learning Decoder for 5G NR PUCCH Format 0

5G cellular systems depend on the timely exchange of feedback control information between the user equipment and the base station. Proper decoding of this control information is necessary to set up and sustain high throughput radio links. This paper makes the first attempt at using Machine Learning techniques to improve the decoding performance of the Physical Uplink Control Channel Format 0. We use fully connected neural networks to classify the received samples based on the uplink control information content embedded within them. The trained neural network, tested on real-time wireless captures, shows significant improvement in accuracy over conventional DFT-based decoders, even at low SNR. The obtained accuracy results also demonstrate conformance with 3GPP requirements.Comment: Submitted to NCC conferenc