Half-life (symbol t 1⁄2) is the time required for a quantity to reduce to half of its initial value.The term is commonly used in nuclear physics to describe how quickly unstable atoms undergo, or how long stable atoms survive, radioactive decay.The term is also used more generally to characterize any type of exponential or non-exponential decay. For example, the medical sciences refer to the . T=1/2 beta mirror transitions @ DESIR A. Bacquias Traditional studies: • superallowed 0+ → 0+ transitions : 0.97425(22) • pion decay: 0.9728(30) • neutron decay: 0.9746(19) Recent method: • mirror decay: 0.9717(17) Status: T=1/2 beta mirror transitions @ DESIR mix of GamovTeller and Fermi, like neutron decay. need for corrections, like pure Fermi transitions. → not a privileged . and elimination phases (T1/2 beta) of human recombinant interleukin 1 beta (rIL-1 beta), and its tissue distribution and cellular localization by means of mono-labelled, biologically active 125I-rIL-1 beta. After intravenous (i.v.) injection, 125I-rIL-1 beta was eliminated from the circulation with a T1/2 alpha. After i.v. administration the kinetic parameters were: Vc = 25.9 l, V alpha = 13.1 l, V beta = 3.38 l, t1/2 alpha = 3.85 min, t1/2 beta = 98.4 min, AUC = 15.0 h.ng/ml, kel = 11.8 l/h and total clearance is 2325 ml/min. The bioavailability was 3.3% (range 0.9-6.1%) on comparing the plasma AUCs following i.v. and 20 mg oral administration. The cumulative renal excretion (0-24 h) after i.v . Insolvency for T R 1.2 LIMITED (02615745) More for T R 1.2 LIMITED (02615745) Registered office address The Shard, 32 London Bridge Street, London, SE1 9SG . Company status Dissolved Dissolved on 22 November 2019. Company type Private limited Company Incorporated on . While for a beta distribution with equal shape parameters α = β, it follows that skewness = 0 and mode = mean = median = 1/2, the geometric mean is less than 1/2: 0 < G X < 1/2. The reason for this is that the logarithmic transformation strongly weights the values of X close to zero, as ln( X ) strongly tends towards negative infinity as X approaches zero, while ln( X ) flattens towards zero .