A simple method of UV stray light correction for field spectrometers in Ground Validation Sites

Field spectrometers are widely applied in ground validation sites for remote sensing. However, the control of stray light is one of the most important factors to ensure accurate measurements, since the spectral distribution of target source differs significantly from the laboratory calibration source. Here, a simple UV stray light correction method for continuously distributed wide-spectrum light sources was established by using a set of bandpass filters. This analysis enabled a simple, low-cost method for correcting for the observed straylight.

Appraisal as co-selection and media performativity: 5G technology imaged in German news discourse

This article views appraisal as co-selection patterns of target, source and evaluative parameters and investigates the ways in which news discourse retells news stories and reproduces truthful reality. We combined the corpus-assisted method and quantitative/qualitative analysis of the data, i.e., 904 sentences which were extracted from the corpus of German 5G news reports by selecting the top 5 items from each of the noun keywords lists of the three subcorpora of economics, politics and technology news reports. It was found that the German media restage the necessity and desirability to promote the development of German communication facilities/technology through international cooperation, particularly Germany-Sino cooperation. In addition, a hesitant image was evoked as to the high-profile 5G development in Germany with an awareness of the potential security risks and economic losses. On the intersubjective dimension, our findings suggest that journalists make full exploitation of different dialogistic positioning strategies for closing down or opening up the dialogic space to a greater or lesser degree. More specifically, they tend to acknowledge and endorse the positive/negative attitudes attributed to the non-authorial voices towards particular targets in the fields of economics, politics or technology. A future comparison with the genre of news comments or editorials would deepen our understanding of the performativity of media.

On the interpretation of possessives in Czech: An experimental approach

This paper presents first findings from an offline study of Czech native speakers’ use and interpretation of reflexive and non-reflexive possessive pronouns. The study is part of a larger possessive project outlined by Fabricius-Hansen et al. (2017), leaning on the comprehension experiment presented in Pitz et al. (2017). The study encompasses questionnaire data collected from 259 informants who were tested under four different conditions on two competing pronouns: the reflexive possessive (svůj) and the 3rd person non-reflexive possessive (jeho). The results revealed that Czech native speakers show a strong uncertainty when interpreting constructions with a cataphoric non-reflexive possessive. This shows that even for native speakers, the establishment of the anaphoric and cataphoric relations under certain syntactic conditions is a challenging and highly complex task. With these results, several hypotheses are formulated in various target-source-language pairs concerning the processing of reflexive and non-reflexive possessives in L2.

High-resolution multicontrast tomography with an X-ray microarray anode–structured target source

Multicontrast X-ray imaging with high resolution and sensitivity using Talbot–Lau interferometry (TLI) offers unique imaging capabilities that are important to a wide range of applications, including the study of morphological features with different physical properties in biological specimens. The conventional X-ray TLI approach relies on an absorption grating to create an array of micrometer-sized X-ray sources, posing numerous limitations, including technical challenges associated with grating fabrication for high-energy operations. We overcome these limitations by developing a TLI system with a microarray anode–structured target (MAAST) source. The MAAST features an array of precisely controlled microstructured metal inserts embedded in a diamond substrate. Using this TLI system, tomography of a Drum fish tooth with high resolution and tri-contrast (absorption, phase, and scattering) reveals useful complementary structural information that is inaccessible otherwise. The results highlight the exceptional capability of high-resolution multicontrast X-ray tomography empowered by the MAAST-based TLI method in biomedical applications.

Phrase Table Combination Based on Symmetrization of Word Alignment for Low-Resource Languages

Phrase table combination in pivot approaches can be an effective method to deal with low-resource language pairs. The common practice to generate phrase tables in pivot approaches is to use standard symmetrization, i.e., grow-diag-final-and. Although some researchers found that the use of non-standard symmetrization could improve bilingual evaluation understudy (BLEU) scores, the use of non-standard symmetrization has not been commonly employed in pivot approaches. In this study, we propose a strategy that uses the non-standard symmetrization of word alignment in phrase table combination. The appropriate symmetrization is selected based on the highest BLEU scores in each direct translation of source–target, source–pivot, and pivot–target of Kazakh–English (Kk–En) and Japanese–Indonesian (Ja–Id). Our experiments show that our proposed strategy outperforms the direct translation in Kk–En with absolute improvements of 0.35 (a 11.3% relative improvement) and 0.22 (a 6.4% relative improvement) BLEU points for 3-gram and 5-gram, respectively. The proposed strategy shows an absolute gain of up to 0.11 (a 0.9% relative improvement) BLEU points compared to direct translation for 3-gram in Ja–Id. Our proposed strategy using a small phrase table obtains better BLEU scores than a strategy using a large phrase table. The size of the target monolingual and feature function weight of the language model (LM) could reduce perplexity scores.

Simulation of a Random Variable and its Application to Game Theory

We provide a new tool for simulation of a random variable (target source) from a randomness source with side information. Considering the total variation distance as the measure of precision, this tool offers an upper bound for the precision of simulation, which is vanishing exponentially in the difference of Rényi entropies of the randomness and target sources. This tool finds application in games in which the players wish to generate their actions (target source) as a function of a randomness source such that they are almost independent of the observations of the opponent (side information). In particular, we study zero-sum repeated games in which the players are restricted to strategies that require only a limited amount of randomness. Let be the max-min value of the n stage game. Previous works have characterized [Formula: see text], that is, the long-run max-min value, but they have not provided any result on the value of vn for a given finite n-stage game. Here, we utilize our new tool to study how vn converges to the long-run max-min value.

A measurement of source noise at low frequency: Implications for modern interferometers

We report on the detection of source noise in the time domain at 162 MHz with the Murchison Widefield Array. During the observation, the flux of our target source Virgo A (M87) contributes only $\sim$ 1% to the total power detected by any single antenna; thus, this source noise detection is made in an intermediate regime, where the source flux detected by the entire array is comparable with the noise from a single antenna. The magnitude of source noise detected is precisely in line with predictions. We consider the implications of source noise in this moderately strong regime on observations with current and future instruments.

Obstacle Avoidance and Path Finding for Mobile Robot Navigation

This paper investigates different methods to detect obstacles ahead of a robot using a camera in the robot, an aerial camera, and an ultrasound sensor. We also explored various efficient path finding methods for the robot to navigate to the target source. Single and multi-iteration anglebased navigation algorithms were developed. The theta-based path finding algorithms were compared with the Dijkstra’s Algorithm and their performance were analyzed.

Nabokov's ‘Diabolical Task’: Translation as Capture and Becoming-Butterfly

The lepidopteral imaginary that animates Nabokov's relationship to translation can be understood in light of Deleuze and Guattari's notions of ‘apparatus of capture’ and ‘rhizomatic becomings’. On the one hand, Nabokov's scientific fascination with butterflies frames his radically literal approach to translation. The scientific dissection of texts and butterflies ‘captures’ an original and singular content as it flutters, reducing it to the homogenised content of a target source. On the other hand, in Speak, Memory's engagement with ‘multiple metamorphoses, familiar to butterflies’, Nabokov as both literary artist and autobiographical personage becomes-butterfly with translation itself, entering into affective intensities with butterflies that include lepidopteral relations of movement and rest, speed and slowness.