Power Ramped-up Preamble RF Fingerprints of Wireless Transmitters

In this paper, we propose a novel kind of RF fingerprints (RFF) with better discriminability than typical RFF for identifying preamble-based wireless transmitters. First, the equivalent model of RFF identification system is built. Then, the typical RFF are analyzed with the built model and the novel RFF, which is transformed from preamble signal when its power is ramped up, is presented. Finally, the discriminability of the proposed RFF and typical RFF is experimentally evaluated with Wi-Fi 802.11b devices. The proposed RFF can be integrated into fusion identification of preamble-based wireless devices with multiple RFF

Optimization of medium composition for cisepoxysuccinate hydrolase production in Escherichia coli by response surface methodology

Response surface methodology was applied to identify and optimize the medium composition for the cis-epoxysuccinate hydrolase production in recombinant Escherichia coli. Plackett-Burman design was used in the first step to evaluate the effects of 8 variables on the enzyme activity. CaCl2, corn steep liquor and lactose were screened as significant factors and their concentrations were further optimized using response surface methodology based on 23 full factorial rotatable central composite design. The optimum predicted medium for maximum expression of recombinant  cis-epoxysuccinate hydrolase was found to comprise: 17.1 g/l Na2HPO4·12H2O, 2.0 g/l KH2PO4, 0.5 g/l NaCl, 1.0 g/l NH4Cl, 0.0111 g/l CaCl2 and 0.5 g/l MgSO4·7H2O, 17.18 ml/l corn steep liquor and 9.74 g/l lactose, with a predicted enzyme activity of 35490 U/g biomass, which was very close to the experimental activity of 36318 U/g biomass resulting in 1.7-fold increment after optimization

Distribution of localized states from fine analysis of electron spin resonance spectra of organic semiconductors: Physical meaning and methodology

We develop an analytical method for the processing of electron spin resonance (ESR) spectra. The goal is to obtain the distributions of trapped carriers over both their degree of localization and their binding energy in semiconductor crystals or films composed of regularly aligned organic molecules [Phys. Rev. Lett. v. 104, 056602 (2010)]. Our method has two steps. We first carry out a fine analysis of the shape of the ESR spectra due to the trapped carriers; this reveals the distribution of the trap density of the states over the degree of localization. This analysis is based on the reasonable assumption that the linewidth of the trapped carriers is predetermined by their degree of localization because of the hyperfine mechanism. We then transform the distribution over the degree of localization into a distribution over the binding energies. The transformation uses the relationships between the binding energies and the localization parameters of the trapped carriers. The particular relation for the system under study is obtained by the Holstein model for trapped polarons using a diagrammatic Monte Carlo analysis. We illustrate the application of the method to pentacene organic thin-film transistors.Comment: 14 pages, 11 figure

Ramp heating in high-speed transient thermal measurement with reduced uncertainty

The uncertainty associated with the convective heat transfer coefficient obtainedintransient thermal measurement is often high, especially in high-speed flow. The present study demonstrates that the experimental accuracy could be much improved by an actively controlled ramp heating instead of the conventional step-heating approach. A general design guideline for the proposed ramp-heating method is derived theoretically and further demonstrated by simulation cases. This paper also presents a detailed experimental study for transonic turbine blade-tip heat transfer. A repeatable, high-resolution tip heat transfer coefficient contour is obtained through transient infrared measurement with the proposed ramp-heating method. Detailed uncertainty analysis shows that the resulting heat transfer coefficient uncertainty level is much lower than the experimental data currently available in the open literature. The ramp-heating approach is especially recommended to the high-speed heat transfer experimental research community to improve the accuracy of the transient thermal measurement technique

Research progress on the premature ovarian failure caused by cisplatin therapy.

Cisplatin is a common anticancer drug able to kill tumor cells, but it causes adverse reactions in the kidney, digestive tract, and other systems. The antitumor effects of cisplatin are mainly due to its ability to bind to the DNA in tumor cells to prevent replication, thereby reducing RNA and protein syntheses, leading to cell damage and death. Cisplatin has a wide range of applications; it can be used to treat cervical, thyroid, ovarian, and other cancers. Cisplatin has a beneficial therapeutic effect, but its therapeutic selectivity is poor. In addition to eliminating diseased target cells, cisplatin can damage normal cells; in women of reproductive age being treated for cancer, cisplatin can lead to ovarian function impairment, premature ovarian failure (POF), and/or infertility. Therefore, reducing the adverse effects of cisplatin on ovarian function is an important topic in clinical research. In this paper, we explore the research progress on the POF caused by cisplatin treatment

Prediction of the outlet temperature of the converter dry-type dust removal evaporative cooler based on LAOA-SCN

In the converter dry-type dust removal system, controlling the outlet temperature directly impacts the efficiency of flue gas treatment. To ensure high-precision control of the outlet temperature, this study utilized improved Arithmetic Optimization Algorithm for Optimizing Stochastic Configuration Networks. This resulted in the establishment of the outlet temperature prediction model, LAOA-SCN, for the converter dry-type dust removal evaporative cooler. To assess the predictive performance of model, a comparative analysis was conducted with algorithms such as Back Propagation (BP), Radial Basis Function (RBF), and Twin Support Vector Regression (TSVR). Finally, the model was applied to practical production verification, confirming its high prediction accuracy. This underscores its potential to provide theoretical guidance for the control of outlet temperature in converter dry-type dust removal evaporative coolers