Temporal distinguishability in Hong-Ou-Mandel interference for harnessing high-dimensional frequency entanglement

High-dimensional quantum entanglement is currently one of the most prolific fields in quantum information processing due to its high information capacity and error resilience. A versatile method for harnessing high-dimensional entanglement has long been hailed as an absolute necessity in the exploration of quantum science and technologies. Here we exploit Hong-Ou-Mandel interference to manipulate discrete frequency entanglement in arbitrary-dimensional Hilbert space. The generation and characterization of two-, four- and six-dimensional frequency entangled qudits are theoretically and experimentally investigated, allowing for the estimation of entanglement dimensionality in the whole state space. Additionally, our strategy can be generalized to engineer higher-dimensional entanglement in other photonic degrees of freedom. Our results may provide a more comprehensive understanding of frequency shaping and interference phenomena, and pave the way to more complex high-dimensional quantum information processing protocols.

The Global Equity Market Reactions of the Oil & Gas Midstream and Marine Shipping Industries to COVID-19: An Entropy Analysis

This article quantifies the information flow between major equities in the Oil & Gas Midstream and Marine Shipping industries, on the basis of the effective transfer entropy methodology. In addition, the article provides the first analysis of the investors` fear and market expectations in these sectors, according to Rényi entropy approach. The period of study was extended over five years, to fully capture the pre/post-COVID situations. The entropy results reveal a major change in the underlying information flow pattern among equities in the Oil & Gas Midstream and Marine Shipping sectors, in the aftermath of COVID-19. According to the new (post-COVID) paradigm, the stocks in the Oil & Gas Midstream and Integrated Freight & Logistics industries have gained momentum in occupying six of the ten positions within the list of most-influencing equities in the market, in terms of information transmission. The disorder and randomness has decreased for over 89% of the studied equities, after virus outbreak. For the equities detected with high information-transmission standing, the Rényi entropy results indicate that investors more likely showed higher level of future expectations and lower level of fear regarding frequent market events, within the post-COVID timeline. Doi: 10.28991/HIJ-2021-02-04-07 Full Text: PDF

Sensitivity of a vibroacoustic signal to a change in the state of the surface layer of ceramics during frictio

The high information content of the vibroacoustic signal in the frequency range of 10‒16 kHz to the change in the state of the surface layer of the ceramic sample during frictional interaction with the steel disk was established. The results obtained indicate the possibility of using vibration diagnostics systems for monitoring the state of ceramic parts during operation and fi tests.

ASER: Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset

Recently, there have been tremendous research outcomes in the fields of speech recognition and natural language processing. This is due to the well-developed multilayers deep learning paradigms such as wav2vec2.0, Wav2vecU, WavBERT, and HuBERT that provide better representation learning and high information capturing. Such paradigms run on hundreds of unlabeled data, then fine-tuned on a small dataset for specific tasks. This paper introduces a deep learning constructed emotional recognition model for Arabic speech dialogues. The developed model employs the state of the art audio representations include wav2vec2.0 and HuBERT. The experiment and performance outcomes of our model overcome the previous known results.

Molecular recording of sequential cellular events into DNA

Genetically encoded DNA recorders noninvasively convert transient biological events into durable mutations in a cell's genome, allowing for the later reconstruction of cellular experiences using high-throughput DNA sequencing. Existing DNA recorders have achieved high-information recording, durable recording, prolonged recording over multiple timescales, multiplexed recording of several user-selected signals, and temporally resolved signal recording, but not all at the same time. We present a DNA recorder called peCHYRON (prime editing Cell HistorY Recording by Ordered iNsertion) that does. In peCHYRON, prime editor guide RNAs (pegRNAs) insert a variable triplet DNA sequence alongside a constant propagation sequence that deactivates the previous and activates the next step of insertion. This process results in the sequential accumulation of regularly spaced insertion mutations at a synthetic locus. Accumulated insertions are permanent throughout editing because peCHYRON uses a prime editor that avoids cutting both DNA strands, which risks deletions. Editing continues indefinitely because each insertion adds the complete sequence needed to initiate the next step. Constitutively expressed pegRNAs generate insertion patterns that support straightforward reconstruction of cell lineage relationships. Pulsed expression of different pegRNAs enables the reconstruction of pulse sequences, which may be coupled to biological stimuli for temporally-resolved multiplexed event recording.

Diffraction propagation of vortex diffractals

A brief retrospective analysis of studies of fractal light radiation is carried out. To assess the prospects of this scientific direction, new original results of studying the diffraction propagation of vortex wave beams with a fractal structure (vortex diffractals) are also presented. For this purpose, computational algorithms and related software have been developed. In calculating the amplitude-phase and scaling characteristics of diffractals two-dimensional Weierstrass functions and multistructures of Gaussian beams were used. The results indicate a high information capacity of vortex diffractals and explain their resistance to the influence of turbulence in the propagation medium.

Emergence and Development of Bullet Comments in China

Danmu denotes user-generated dynamic and contextualised comments scrolling across the screen. Owing to its resemblance to a bullet curtain, such a text-over-screen technology is referred to as ‘bullet comment/message’ or ‘barrage subtitling’. Since being adopted from Japan, danmu has expeditiously developed from a niche subcultural entity into a prominent property of Chinese online video culture. Danmu obtains popularity among young audiences, in that it establishes social media co-viewing, creates a sense of belonging, allows self-expression and facilitates social connectedness. Moreover, danmu enables creators to demonstrate a sense of existence, especially via informative, alerting and spoiler comments. The popularity of danmu in China is ascribed to diversified and concise literacy practice. More significantly, it is attributed to linguistic and cultural prerequisites: the Chinese written language is featured by a high information density and robust parafoveal preview effects; the Chinese culture is marked by a high level of polychronicity and collectivism, as well as conspicuous social and peer pressure.

Perception of Cityscape of the Central Part of Kaunas and Sociocultural Aspects Determining it

This article deals with peculiarities of Kaunas centre cityscape perception and the determining socio-cultural factors. Important elements creating unique view of a location and identity are related to the period’s history, culture, political situation, features of the location natural basis, as well as individual’s-observer‘s education, personal qualities, aesthetic and cultural sophistication. The territory of Kaunas city centre was selected for the case study. It is characterized by unique natural, historic, cultural conditions and high information-emotional potential. During the research proprietary ranking concerning significance of cityscape elements groups and experienced psycho-emotional senses was conducted. Furthermore, the correlations between the distance of object observation, heights of observation points as well as movement mode selection and personal factors such as gender, age, occupation, and education based on statistical dependencies were identified. The obtained results explain the principles of Kaunas centre cityscapes perception.

Event-driven acquisition for content-enriched microscopy

In fluorescence microscopy, the amount of information that can be collected from the sample is limited, often due to constraints imposed by photobleaching and phototoxicity. Here, we report an event-driven acquisition (EDA) framework, which combines real-time, neural network-based recognition of events of interest with automated control of the imaging parameters in an instant structured illumination microscope (iSIM). On-the-fly prioritization of imaging rate or experiment duration is achieved by switching between a slow imaging rate to detect the onset of biological events of interest and a fast imaging rate to enable high information content during their progression. In this way, EDA allows the data capture of mitochondrial and bacterial divisions at imaging rates that match their dynamic timescales, while extending the accessible imaging duration, and thereby increases the density of relevant information in the acquired data.