Regional economic status inference from information flow and talent mobility

Novel data has been leveraged to estimate socioeconomic status in a timely manner, however, direct comparison on the use of social relations and talent movements remains rare. In this letter, we estimate the regional economic status based on the structural features of the two networks. One is the online information flow network built on the following relations on social media, and the other is the offline talent mobility network built on the anonymized resume data of job seekers with higher education. We find that while the structural features of both networks are relevant to economic status, the talent mobility network in a relatively smaller size exhibits a stronger predictive power for the gross domestic product (GDP). In particular, a composite index of structural features can explain up to about 84% of the variance in GDP. The result suggests future socioeconomic studies to pay more attention to the cost-effective talent mobility data.Comment: 7 pages, 5 figures, 2 table

A Holistic In silico Approach to Develop Novel Inhibitors Targeting ErbB1 and ErbB2 Kinases

Purpose: To design a dual inhibitor of natural origin capable of targeting ErbB1 and ErbB2 kinases for the treatment of lung cancer.Method: Advanced In silico drug designing techniques were explored in this study. Sequence and structure analysis of ErbB1 and ErbB2 was followed by three dimensional (3D) pharmacophore. The generated model was used for molecular docking simulation studies for predicting the best natural dual inhibitors, the selected inhibitors were subjected to absorption, distribution, metabolism, excretion and toxicology (ADME/Tox) prediction.Results: The results confirmedfive phytochemicals, viz. hyoscyamide, cannabisin F, cochinchinenene D, cannabisin E, and heliotropamide and five FDA approved drugs namely fesoterodine, antrafenine, fluspirilene, posaconazole, and iloprost to be potential inhibitors of both ErbB1 and ErbB2. The shortlisted compounds from both the panels were showing better MolDock score than the two reference drugs (Lapatinib and Afatinib).Conclusion: The 3D pharmacophore modelling and molecular docking simulations gave us tencompounds that successfully exploited dual inhibition of ErbB1 and ErbB2. With 8 and 12 hydrogenbonds with ErbB1 and ErbB2 respectively cannabisin F showed best interaction of all.Keywords: Receptor tyrosine kinases, ErbB1, ErbB2, Natural products, Pharmacophore, Docking, Cancer therap

Outflows from active galactic nuclei: The BLR-NLR metallicity correlation

The metallicity of active galactic nuclei (AGNs), which can be measured by emission line ratios in their broad and narrow line regions (BLRs and NLRs), provides invaluable information about the physical connection between the different components of AGNs. From the archival databases of the International Ultraviolet Explorer, the Hubble Space Telescope and the Sloan Digital Sky Survey, we have assembled the largest sample available of AGNs which have adequate spectra in both the optical and ultraviolet bands to measure the narrow line ratio [N II]/H{\alpha} and also, in the same objects, the broad-line N V/C IV ratio. These permit the measurement of the metallicities in the NLRs and BLRs in the same objects. We find that neither the BLR nor the NLR metallicity correlate with black hole masses or Eddington ratios, but there is a strong correlation between NLR and BLR metallicities. This metallicity correlation implies that outflows from BLRs carry metal-rich gas to NLRs at characteristic radial distances of ~ 1.0 kiloparsec. This chemical connection provides evidence for a kinetic feedback of the outflows to their hosts. Metals transported into the NLR enhance the cooling of the ISM in this region, leading to local star formation after the AGNs turn to narrow line LINERs. This post-AGN star formation is predicted to be observable as an excess continuum emission from the host galaxies in the near infrared and ultraviolet, which needs to be further explored.Comment: 19 pages, 13 figures, 3 tables. Accepted for publication at MNRA