A Software-Defined-Radio Platform for Multiple-Input-Multiple-Output Over-The-Air Measurement

This paper presents a 2 × 2 multiple-inputmultiple-output over-the-air (MIMO OTA) measurement system with user-programmable, reconfigurable and real-time signal processing field-programmable gate arrays (FPGAs)-based software-defined radio (SDR) capability. Signal generation and analysis as well as channel emulation are all implemented using vector signal transceivers (VSTs). As a demonstration, we performed the Third Generation Partnership Project (3GPP) two-stage MIMO OTA conducted test using a downlink time division long-term evolution (TD-LTE) duplex scheme. The channel emulation was operated in a stochastic mode. Some preliminary results of the system verification are shown

EpiAlign: an alignment-based bioinformatic tool for comparing chromatin state sequences.

The availability of genome-wide epigenomic datasets enables in-depth studies of epigenetic modifications and their relationships with chromatin structures and gene expression. Various alignment tools have been developed to align nucleotide or protein sequences in order to identify structurally similar regions. However, there are currently no alignment methods specifically designed for comparing multi-track epigenomic signals and detecting common patterns that may explain functional or evolutionary similarities. We propose a new local alignment algorithm, EpiAlign, designed to compare chromatin state sequences learned from multi-track epigenomic signals and to identify locally aligned chromatin regions. EpiAlign is a dynamic programming algorithm that novelly incorporates varying lengths and frequencies of chromatin states. We demonstrate the efficacy of EpiAlign through extensive simulations and studies on the real data from the NIH Roadmap Epigenomics project. EpiAlign is able to extract recurrent chromatin state patterns along a single epigenome, and many of these patterns carry cell-type-specific characteristics. EpiAlign can also detect common chromatin state patterns across multiple epigenomes, and it will serve as a useful tool to group and distinguish epigenomic samples based on genome-wide or local chromatin state patterns

A LTE MIMO OTA Test System Using Vector Signal Transceivers

A 2 × 2 multiple-input-multiple-output over-the-air (MIMO OTA) test system based on four field-programmable Vector-Signal-Transceiver (VST) modules is presented. The system enables 2 x 2 MIMO OTA testing by assembling of a twochannel Evolved Node B (eNodeB) LTE base station emulator, a 2x2 channel emulator, and a two-channel user equipment (UE) simulator. A two-stage MIMO OTA test method has been demonstrated with downlink Long-Term Evolution Time-Division Duplex (LTE-TDD) mode using different modulation and coding schemes (MCSs). Test results and analysis are shown. This system will allow a systematic study of MIMO OTA metrology needs

Una revisión sistemática sobre las relaciones entre el guanxi y el capital social en el contexto chino

Guanxi are easily confused with Social Capital. The concepts, methods and theories of western sociology have been widely applied to the study of these two phenomena in China, but the influence of social culture on them have been ignored. This paper made a systematic analysis of the researches on Guanxi and Social Capital in the last decade and analyzed the results of selected 39 articles by PRISMA. The analysis indicated the limits and contradictions of Guanxi from the perspectives of Confucianism and the concept of western social capital, revealed the essential meaning of Guanxi in Chinese society. Besides, it can be seen that although Guanxi and Social Capital are two different concepts, they have a mutual influence. Finally, the conclusions of the study are synthesized.El guanxi se confunde fácilmente con el capital social. Muchos estudios sobre ambos fenómenos han aplicado en China los conceptos, métodos y teorías de la sociología occidental ignorando la importancia de las influencias socioculturales de las culturas respectivas. Este artículo realiza un análisis sistemático de las investigaciones realizadas sobre el guanxi y el capital social en la última década. Se analizan los resultados de 39 artículos seleccionados a través del método PRISMA. De dicho análisis se desprenden los límites y contradicciones existentes en relación con el guanxi tanto desde la perspectiva del confucianismo como de la del propio concepto occidental de capital social. Se desvela, también, el significado esencial del guanxi en la sociedad china y las relaciones que puede establecer con el capital social, dado que, aunque son dos conceptos diferentes, pueden conectarse e influirse recíprocamente. Por último, se sintetizan las conclusiones del estudio

Discovering Galaxy Features via Dataset Distillation

In many applications, Neural Nets (NNs) have classification performance on par or even exceeding human capacity. Moreover, it is likely that NNs leverage underlying features that might differ from those humans perceive to classify. Can we "reverse-engineer" pertinent features to enhance our scientific understanding? Here, we apply this idea to the notoriously difficult task of galaxy classification: NNs have reached high performance for this task, but what does a neural net (NN) "see" when it classifies galaxies? Are there morphological features that the human eye might overlook that could help with the task and provide new insights? Can we visualize tracers of early evolution, or additionally incorporated spectral data? We present a novel way to summarize and visualize galaxy morphology through the lens of neural networks, leveraging Dataset Distillation, a recent deep-learning methodology with the primary objective to distill knowledge from a large dataset and condense it into a compact synthetic dataset, such that a model trained on this synthetic dataset achieves performance comparable to a model trained on the full dataset. We curate a class-balanced, medium-size high-confidence version of the Galaxy Zoo 2 dataset, and proceed with dataset distillation from our accurate NN-classifier to create synthesized prototypical images of galaxy morphological features, demonstrating its effectiveness. Of independent interest, we introduce a self-adaptive version of the state-of-the-art Matching Trajectory algorithm to automate the distillation process, and show enhanced performance on computer vision benchmarks.Comment: Accepted to NeurIPS Workshop on Machine Learning and the Physical Sciences, 202

Indentation study on the pressure sensitivity of a ZR-based bulk metallic glass

Spherical indentation test was conducted on as-cast and annealed Zr41.2Ti13.8Cu12.5Ni10Be22.5 bulk metallic glass, and the evolution of the morphology of the deformation zone of indents upon annealing was investigated. The DSC traces of the as-cast and annealed samples show that the enthalpy change at the glass transition, &Delta;H, decreases with the increasing of annealing temperature, indicating the reduction of the free volume upon annealing. The morphology of the indents implies a reduced shear band activity in the annealed samples. The included angles (2&theta;) between two families of shear bands emanating from the edge of spherical indent in the as-cast and the annealed samples were measured to be in the range of 88-79&deg;, which decrease with the increasing of annealing temperature, indicating pressure sensitive plasticity in the as-cast and annealed samples. By Mohr&ndash;Coulomb criterion, the pressure sensitive index, &alpha;, can be obtained on the basis of the measured 2&theta;. The sensitivity index increases with increasing temperature, implying an increase of \u27atomistic friction\u27 due to the reduction of the free volume upon annealing.<br /