Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources

In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization methods to better capture semantic relations between words. In our approach, we leverage external knowledge from rich lexical resources such as BabelNet. We also show that our proposed post-specialization method based on an adversarial neural network with the Wasserstein distance allows to gain improvements over state-of-the-art methods on two tasks: word similarity and dialog state tracking.Comment: Accepted to ACL 2020 SR

Effective generation of cat and kitten states

We present an effective method of coherent state superposition (cat state) generation using single trapped ion in a Paul trap. The method is experimentally feasible for coherent states with amplitude $\alpha \le 2$ using available technology. It works both in and beyond the Lamb-Dicke regime.Comment: 11 pages, 8 figure

Financial Performance Analysis of Location, Rental Rate and Parking Revenue on Shopping Centers

This study aims to determine the influence of location, rental rates, as well as parking revenues to the shopping center's financial performance as measured by proxy Return on Investment (ROI) in the city of Surabaya and Sidoarjo. In theory, this study aims to obtain empirical evidence over bid rent theory first proposed by Thünen (1826) and the central location theory proposed by Christaller (1933) so as to benefit the investors, managers, and academics. This study uses secondary data sources. The analysis tool used is regression. Hypothesis testing results show that the strategic location of the shopping center increased financial performance, measured by using a proxy ROI (Return on Investment), while the price of rental and parking revenues shopping center does not have a significant impact on the financial performance. This supported the theory of transaction cost that every financial transaction must consider the cost factor that can lead to lower financial ratios, in addition to the queuing theory, which considers that any value of investment made to reduce queues should consider the return on investment along with factors of customer satisfaction and reducing the volume of the queue. The test results cluster analysis showed that the shopping centers located in residential centers have higher rental rates and earn higher parking revenues when compared with the shopping center located in the downtown area

Penerapan Model Pembelajaran Problem Based Learning (PBL) Serta Pengaruhnya terhadap Hasil Belajar Biologi Siswa SMA Negeri 5 Kelas XI Kota Samarinda Tahun Ajaran 2015

Salah satu permasalahan pembelajaran yang terjadi di Sekolah Menengah Atas (SMA) adalah minimnya variasi stategi pembelajaran dalam hal ini model pembelajaran yang digunakan guru untuk memfasilitasi hasil belajar siswa, terutama hasil belajar kognitif tingkat tinggi yakni kemampuan pemecahan masalah. Berdasarkan kondisi ini maka tujuan penelitian ini ingin mengetahui pengaruh penerapana model pembelajaran problem based learning terhadap hasil belajar kognitif tingkat tinggi.Metode penelitian yang digunakan untuk mencapai tujuan penelitian adalah metode penelitian kuantitatif dengan menggunakan disain pre tes postet control group. Analisis data menggunakan uji t. Hasil penelitian diperoleh bahwa model pembelajaran problem based learning berpengaruh terhadap hasil belajar biologi pada siswa SMA Negeri 5 kelas XI semester 1 materi sistem pencernaan pada manusia dengan nilai t hitung 2,60 lebih besar dari t tabel dengan nilai 1,84. Adapun hasil belajar yang diukur adalah kemampuan pemecahan masalah terkait masalah mengatasi gangguan sistem pencernaan pada manusia. Berdasarkan hasil penelitian dapat disarankan bahwa sudah saatnya guru biologi di SMA 5 menerapkan model pembelajaran berbasis masalah (problem based learning), karena hasil penelitian ini menunjukkan bahwa siswa-siswa dapat mengikuti pembeajaran dengan menggunakan model pembelajaran berbasis masalah (problem based learning)

Fractionation of Hydrogen Isotopes by Sulfate- and Nitrate-Reducing Bacteria.

Hydrogen atoms from water and food are incorporated into biomass during cellular metabolism and biosynthesis, fractionating the isotopes of hydrogen-protium and deuterium-that are recorded in biomolecules. While these fractionations are often relatively constant in plants, large variations in the magnitude of fractionation are observed for many heterotrophic microbes utilizing different central metabolic pathways. The correlation between metabolism and lipid δ(2)H provides a potential basis for reconstructing environmental and ecological parameters, but the calibration dataset has thus far been limited mainly to aerobes. Here we report on the hydrogen isotopic fractionations of lipids produced by nitrate-respiring and sulfate-reducing bacteria. We observe only small differences in fractionation between oxygen- and nitrate-respiring growth conditions, with a typical pattern of variation between substrates that is broadly consistent with previously described trends. In contrast, fractionation by sulfate-reducing bacteria does not vary significantly between different substrates, even when autotrophic and heterotrophic growth conditions are compared. This result is in marked contrast to previously published observations and has significant implications for the interpretation of environmental hydrogen isotope data. We evaluate these trends in light of metabolic gene content of each strain, growth rate, and potential flux and reservoir-size effects of cellular hydrogen, but find no single variable that can account for the differences between nitrate- and sulfate-respiring bacteria. The emerging picture of bacterial hydrogen isotope fractionation is therefore more complex than the simple correspondence between δ(2)H and metabolic pathway previously understood from aerobes. Despite the complexity, the large signals and rich variability of observed lipid δ(2)H suggest much potential as an environmental recorder of metabolism

Double step structure and meandering due to the many body interaction at GaN(0001) surface in N-rich conditions

Growth of gallium nitride on GaN(0001) surface is modeled by Monte Carlo method. Simulated growth is conducted in N-rich conditions, hence it is controlled by Ga atoms surface diffusion. It is shown that dominating four-body interactions of Ga atoms can cause step flow anisotropy. Kinetic Monte Carlo simulations show that parallel steps with periodic boundary conditions form double terrace structures, whereas initially V -shaped parallel step train initially bends and then every second step moves forward, building regular, stationary ordering as observed during MOVPE or HVPE growth of GaN layers. These two phenomena recover surface meandered pair step pattern observed, since 1953, on many semiconductor surfaces, such as SiC, Si or GaN. Change of terrace width or step orientation particle diffusion jump barriers leads either to step meandering or surface roughening. Additionally it is shown that step behavior changes with the Schwoebel barrier height. Furthermore, simulations under conditions corresponding to very high external particle flux result in triangular islands grown at the terraces. All structures, emerging in the simulations, have their corresponding cases in the experimental results.Comment: 25 pages, 8 figure

Functional properties of neurons derived from in vitro reprogrammed postnatal astroglia

With the exception of astroglia-like cells in the neurogenic niches of the telencephalic subependymal or hippocampal subgranular zone, astroglia in all other regions of the adult mouse brain do not normally generate neurons. Previous studies have shown, however, that early postnatal cortical astroglia in culture can be reprogrammed to adopt a neuronal fate after forced expression of Pax6, a transcription factor (TF) required for proper neuronal specification during embryonic corticogenesis. Here we show that also the proneural genes neurogenin-2 and Mash1 (mammalian achaete schute homolog 1) possess the ability to reprogram astroglial cells from early postnatal cerebral cortex. By means of time-lapse imaging of green fluorescent astroglia, we provide direct evidence that it is indeed cells with astroglial characteristics that give rise to neurons. Using patch-clamp recordings in culture, we show that astroglia-derived neurons acquire active conductances and are capable of firing action potentials, thus displaying hallmarks of true neurons. However, independent of the TF used for reprogramming, astroglia-derived neurons appear to mature more slowly compared with embryonic-born neurons and fail to generate a functional presynaptic output within the culturing period. However, when cocultured with embryonic cortical neurons, astroglia-derived neurons receive synaptic input, demonstrating that they are competent of establishing a functional postsynaptic compartment. Our data demonstrate that single TFs are capable of inducing a remarkable functional reprogramming of astroglia toward a truly neuronal identity

Witnessing Entanglement of EPR States With Second-Order Interference

The separability of the continuous-variable EPR state can be tested with Hanbury-Brown and Twiss type interference. The second-order visibility of such interference can provide an experimental test of entanglement. It is shown that time-resolved interference leads to the Hong, Ou and Mandel deep, that provides a signature of quantum non-separability for pure and mixed EPR states. A Hanbury-Brown and Twiss type witness operator can be constructed to test the quantum nature of the EPR entanglement.Comment: 9 pages, 5 figure