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The method of sequence alignment in bioinformatics is introduced into financial time series analysis, which can capture the large-scale features of the variables, suppress the noise and reveal the implicit mode of the system from different angles without strict assumptions. Based on existing methods of sequence alignment, we propose a new scoring matrix construction method for financial sequence alignment, a purpose-oriented matrix. This method can be used to extract the feature segments of the sequence. An empirical study of the stocks of Shanghai Stock Exchange and Shenzhen Stock Exchange is implemented with this new method. The results reflect the relationship between the two stock markets under the conditions of boom or bust and confirm the feasibility and effectiveness of introducing the method into the financial analysis.

Biotemplating method is a promising way to obtain hierarchical materials with unique morphology and property. In the current work, a novel hierarchically porous ZnAl-CLDH (calcined layered double hydroxides)/FeWO4 had been successfully synthesized by a facile biotemplated method. The obtained samples were characterized in detail via FESEM-EDX, TEM, XRD, IR, TGA, and BET techniques. The as-synthesized ZnAl-CLDH/FeWO4 hierarchical microspheres were composed of ZnAl-CLDH nanosheets and FeWO4 nanoparticles. The obtained sample exhibited both high adsorption and visible-light photocatalytic activity toward Congo Red (CR) in water. It was found that the adsorption process was well described by the pseudo-second-order kinetic model and the Langmuir isotherm model, while the photocatalytic degradation process was well fitted to the first-order kinetics model. The enhanced photocatalytic performance was mainly due to the hierarchically porous structure that could offer more exposed active sites, as well as the unique energy band structure of heterostructures, that facilitated the efficient separation and transfer of photoinduced carriers and enhanced light harvesting. In addition, the as-prepared sample had quickly magnetic response and could be easily separated from water under an external magnetic field after wastewater treatment.

Progesterone (PROG) is a naturally occurring progestagen, which has been used to prevent preterm birth, control persistent anovulatory bleeding, and treat premenstrual syndrome in clinical practices. Studies on the metabolism of PROG have demonstrated that PROG is the precursor of other steroids such as 5β-pregnane-3α,20α-diol (PD), testosterone (T), and 17-hydroxyprogesterone. PD is the most commonly used endogenous reference compound (ERC) in the isotope ratio mass spectrometry (IRMS) analysis for doping control. It is expected that the PROG administration could affect the carbon isotope ratios ((13)C/(12)C, expressed as δ (13)C-value) of PD and T metabolites, and lead to the false-negative or false-positive results in doping test. The influences of oral and intramuscular administration of PROG on the urinary steroid profile and carbon isotope ratios of steroids were investigated in this study. It was demonstrated that the urine concentrations and the δ (13)C-values of PD were affected obviously. The depleted δ (13)C-values of PD could be used to suggest PROG administration. Using PD as ERC may result in the distorted evaluation for suspicious urine sample in IRMS analysis when PROG is ingested. The 5α-androst-16-en-3α-ol and 11β-hydroxyandrosterone could be used as the alternative ERCs in case of PROG administration. The carbon isotope ratios of androsterone (An) and etiocholanolone (Etio), two T metabolites, remained unchanged throughout the excretion study, which suggested that the δ values of An and Etio could still be used as the urinary markers of T administration even when PROG was administrated.