Ensemble Learning Independent Component Analysis of Normal Galaxy Spectra

In this paper, we employe a new statistical analysis technique, Ensemble Learning for Independent Component Analysis (EL-ICA), on the synthetic galaxy spectra from a newly released high resolution evolutionary model by Bruzual & Charlot. We find that EL-ICA can sufficiently compress the synthetic galaxy spectral library to 6 non-negative Independent Components (ICs), which are good templates to model huge amount of normal galaxy spectra, such as the galaxy spectra in the Sloan Digital Sky Survey (SDSS). Important spectral parameters, such as starlight reddening, stellar velocity dispersion, stellar mass and star formation histories, can be given simultaneously by the fit. Extensive tests show that the fit and the derived parameters are reliable for galaxy spectra with the typical quality of the SDSS.Comment: 41 pages, 23 figures, to be published in A

Fungsi Sosial Cerita Rakyat Batu Bujang Lengong Di Nagari Alahan Panjang Kecamatan Lembah Gumanti Kabupaten Solok

The purpose for describe function social strori people stone bachelor lengong di Nagari Alahan Panjang Kecamatan Lembah Gumanti Kabupaten Solok hasil researeh in is function social ditemukan faef function social yaitu (1),Studi theory which be usea in research, (2) nature folklore nature, (3) function social strory people. Type researeh is researeh qualilative data dianalisis with step measuresDescribe result recording in language writler translate result interesting conclusior and write report.of destination in is function social strory people bachelor lengong foun Nagari Alahan Panjang Kecamatan Lembah Gumanti Kabupaten Solok, (1) Function social entertain, (2) Function social educate, (3) Function social begueath, (4) Function social tradition, (5) Function social identity

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Construction of Strategic Early-Warning System in Cyberspace

Cyberspace strategic early-warning is a monitoring and warning system that is established by a country or group for early detection, tracking, identification, and notification of incoming major cyber attacks or the spreading destruction of powerful viruses. It’s an important component of a national security defense system. The implementation of the national cyber development strategy in China requires high attentions to the construction of a cyberspace strategic early-warning system. This study analyzes the major characteristics and basic requirements of strategic early-warning in cyberspace, and studies four major warning styles: security vulnerabilities, security threats, intrusion attacks, and abnormal behaviors warning. It also emphasizes four key projects, namely cyberspace surveying and mapping system, vulnerability collection and early-warning platform, threat intelligence perception and push system, as well as security monitoring and comprehensive early-warning system, after summarizing the construction of strategic early-warning and monitoring systems in cyberspace in China and abroad. Furthermore, we propose several countermeasures and suggestions, including strengthening high-level coordination, focusing on multi-source data integration, establishing professional earlywarning agencies, conducting regular security assessments, and implementing threat and early-warning grading mechanisms

Enhanced Performance for Planar Perovskite Solar Cells with Samarium-Doped TiO₂ Compact Electron Transport Layers

The tactics of ion doping in metal oxide is normally used to improve the film quality, achieve an appropriate energy band, and enhance carrier mobility. Here, a rare earth element (samarium) was doped into TiO₂ compact electron transport layers (ETLs) by adding samarium trinitrate into the titanium precursor solution. The results show that perovskite solar cells (PSCs) with Sm-doped TiO₂ exhibit 10.3% enhancement with a power conversion efficiency (PCE) of 14.10%, compared to nondoped devices. It is found that Sm doping can upward shift the Fermi energy level of the ETLs, increase the carrier transport ability, and inhibit the carrier recombination. The results indicate that rare earth ion doping could be a promising method for producing effective ETLs and high performance PSCs

The relative abundances of transcripts for non-photosynthetic relevant genes.

<p>The time series of the relative abundances of transcripts for mitochondrial ATP synthase (mATP; A), peroxisomal membrane protein (PMP; B), nitrite reductase (NiR; C) and NADH dehydrogenase subunit 2 (Ndh2; D) determined by quantitative real-time PCR (qPCR) of <i>P</i>. <i>tricornutum</i> cells grown at ambient (390 μatm; LC) and elevated CO₂ (1000 μatm; HC) levels. Data are presented as means ± SD, n = 3 (triplicate cultures). Two asterisks indicate significant difference between HC and LC grown cells at <i>p</i> < 0.01, and one asterisk represents a difference at <i>p</i> < 0.05</p