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    A Simplified Application of Ordered Statistics Decoding to Single Parity Check Product Codes

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    In this paper we consider Ordered Statistics Decoding and we discuss some ideas aiming to reduce its complexity. As a case study, we focus on Single Parity Check Product Codes. First, we investigate how to simplify the construction of a reliable basis by exploiting the code structure. Then, we consider the iterative application of Soft-Input Soft-Output Ordered Statistics Decoding with small order to lower-dimensional subcodes. Results show that these simplified algorithms, both stand-alone and iterative, are still able to approach Maximum Likelihood Decoding of Single Parity Check Product Codes

    Development and Optimization of an HPLC-PDA Method for the Determination of Major Cannabinoids in Hemp (Cannabis sativa L.) Essential Oil Obtained by Hydrodistillation

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    The use of hemp (Cannabis sativa L.) essential oil (EO) has shown a significant increase in interest and use during recent years. In this work, a new and simple reversed-phase HPLC with photodiode-array (PDA) detector method has been developed and optimized for the detection and quantification of cannabidiolic acid (CBDA), cannabidiol (CBD), cannabinol (CBN), Δ9-tetrahydrocannabinol (Δ9-THC), and Δ9-tetrahydrocannabinolic acid (THCA). The cannabinoids were extracted from the EO by partition with n-hexane and water, followed by sonication, evaporation to dryness under nitrogen, and reconstitution with methanol:chloroform (9:1, v/v) before HPLC-PDA analysis. The method shows good selectivity and robustness, linearity in the range 0.5–100 mg L−1 with R2 higher than 0.999 for all cannabinoids analyzed, LOD of 0.11–0.16 mg L−1, and LOQ of 0.35–0.48 mg L−1. The recovery was between 78 and 100% and the intra-day and intermediate precision, expressed as relative standard deviation (RSD), was < 4% and 4–10%, respectively
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