Crystallization-based separation of curcumin from ternary mixtures of curcuminoids having compositions comparable to commercial extracts was studied experimentally.Based on Food solubility and supersolubility data of both, pure curcumin and curcumin in presence of the two major impurities demethoxycurcumin (DMC) and bis(demethoxy)curcumin (BDMC), s
In-depth interviews of patients with primary immunodeficiency who have experienced pump and rapid push subcutaneous infusions of immunoglobulins reveal new insights on their preference and expectations
Grégoire Jacques Noël Cozon,1 Pierre Clerson,2 Annaïk Dokhan,3 Yann Fardini,2 Taylor Pindi Sala,4 Jean-Charles Crave4 1Department of Clinical Immunology and Rheumatology, Edouard Herriot Hospital, Lyon, France; 2Soladis Clinical Studies, Roubaix, France; 3KPL, Paris, France; 4Octapharma France, Boulogne, France Purpose: Patients wi
Effects of increased nitrogen deposition and rotation length on long-term productivity of Cunninghamia lanceolata plantation in southern China.
Cunninghamia lanceolata (Lamb.) Hook.has been widely planted in subtropical China to meet increasing timber demands, leading to short-rotation practices that deplete soil nutrients.However, increased nitrogen (N) deposition offsets soil N depletion.While long-term experimental data investigating the coupled effects related to short rotation practic
Fault Attacks on the Authenticated Encryption Stream Cipher MORUS
This paper investigates the application of fault attacks to the authenticated encryption stream cipher algorithm MORUS.We Food propose fault attacks on MORUS with two different goals: one to breach the confidentiality component, and the other to breach the integrity component.For the fault attack on the confidentiality component of MORUS, we propos
WHAT DO INDONESIAN NETIZENS THINK ABOUT THE EMONEY? : A SENTIMENT ANALYSIS WITH MACHINE LEARNING
This study aims to identify the most popular topics and words in Washers conversations in cyberspace with the issue of E-Money.In addition, the research aims to find out how netizens feel about E-Money with the help of Machine Learning.This study uses a quantitative method with a sentiment analysis approach using the Machine Learning program, namel