Deuteronomy 14.3–21: An Early Exemplar of Rewritten Scripture?

2021 ◽  
Vol 45 (3) ◽  
pp. 422-457
Author(s):  
A. Friedberg ◽  
Juni Hoppe
Keyword(s):  
Second Temple ◽  
Novel Approach ◽  
Long Time ◽  
Dietary Laws

The almost verbatim parallels of the dietary laws in Lev. 11 and Deut. 14 have baffled scholars for a long time. We reexamine the evidence, offer a novel approach to determining the direction of dependency, and point out the notable similarities the borrowing bears to Second Temple editorial and redactional practices, drawing on recent Qumran scholarship. We conclude that Deut. 14.3–21 may be one of the earliest specimens of Rewritten Scripture.

Algorithmic music generation by harmony recombination with genetic algorithm

2021 ◽  
pp. 1-13
Author(s):  
Omar Lopez-Rincon ◽  
Oleg Starostenko ◽  
Alejandro Lopez-Rincon
Keyword(s):  
Genetic Algorithm ◽  
New Music ◽  
Novel Approach ◽  
Time Patterns ◽  
Algorithmic Music ◽  
Long Time ◽  
Music Generation ◽  
Music Piece ◽  
Short Time ◽  
Algorithmic Music Composition

Algorithmic music composition has recently become an area of prestigious research in projects such as Google’s Magenta, Aiva, and Sony’s CSL Lab aiming to increase the composers’ tools for creativity. There are advances in systems for music feature extraction and generation of harmonies with short-time and long-time patterns of music style, genre, and motif. However, there are still challenges in the creation of poly-instrumental and polyphonic music, pieces become repetitive and sometimes these systems copy the original files. The main contribution of this paper is related to the improvement of generating new non-plagiary harmonic developments constructed from the symbolic abstraction from MIDI music non-labeled data with controlled selection of rhythmic features based on evolutionary techniques. Particularly, a novel approach for generating new music compositions by replacing existing harmony descriptors in a MIDI file with new harmonic features from another MIDI file selected by a genetic algorithm. This allows combining newly created harmony with a rhythm of another composition guaranteeing the adjustment of a new music piece to a distinctive genre with regularity and consistency. The performance of the proposed approach has been assessed using artificial intelligent computational tests, which assure goodness of the extracted features and shows its quality and competitiveness.

scholarly journals A Novel Approach of Parallel Retina-Like Computational Ghost Imaging

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7093
Author(s):  
Jie Cao ◽  
Dong Zhou ◽  
Fanghua Zhang ◽  
Huan Cui ◽  
Yingqiang Zhang ◽  
...  
Keyword(s):  
Wide Spectrum ◽  
Low Cost ◽  
Parallel Architecture ◽  
Structure Design ◽  
Ghost Imaging ◽  
Novel Approach ◽  
Time Correlations ◽  
Long Time ◽  
Sampling And Reconstruction ◽  
Similar Imaging

Computational ghost imaging (CGI), with the advantages of wide spectrum, low cost, and robustness to light scattering, has been widely used in many applications. The key issue is long time correlations for acceptable imaging quality. To overcome the issue, we propose parallel retina-like computational ghost imaging (PRGI) method to improve the performance of CGI. In the PRGI scheme, sampling and reconstruction are carried out by using the patterns which are divided into blocks from designed retina-like patterns. Then, the reconstructed image of each block is stitched into the entire image corresponding to the object. The simulations demonstrate that the proposed PRGI method can obtain a sharper image while greatly reducing the time cost than CGI based on compressive sensing (CSGI), parallel architecture (PGI), and retina-like structure (RGI), thereby improving the performance of CGI. The proposed method with reasonable structure design and variable selection may lead to improve performance for similar imaging methods and provide a novel technique for real-time imaging applications.

Analogy in the emergence of intrusive-r in English

2013 ◽  
Vol 17 (1) ◽  
pp. 55-84 ◽  
Author(s):  
MÁRTON SÓSKUTHY
Keyword(s):  
Computer Simulation ◽  
Eighteenth Century ◽  
Historical Development ◽  
Frequency Data ◽  
Main Claim ◽  
Novel Approach ◽  
Related Development ◽  
Long Time ◽  
Analogical Approach

This article presents a novel approach to the phenomenon of intrusive-r in English based on analogy. The main claim of the article is that intrusive-r in non-rhotic dialects of English is the result of the analogical extension of the r~zero alternation shown by words such as far, more and dear. While this idea has been around for a long time, this is the first study that explores this type of analysis in detail. Specifically, I provide an overview of the developments that led to the emergence of intrusive-r and show that they are fully compatible with an analogical approach. This includes the analysis of frequency data taken from an eighteenth-century corpus of English compiled specifically for the purposes of this article and the discussion of a related development, namely intrusive-l. The article also presents a review of the evidence about the variability of intrusive-r, which serves as the basis of an evaluation of previous approaches. Once the notion of analogy is made formally explicit, the analogical approach becomes capable of providing a unified account of the historical development and the variability of intrusive-r. This is demonstrated through a computer simulation of the emergence of the phenomenon based on the eighteenth-century corpus mentioned above. The results of the simulation confirm the predictions of the analogical approach.

scholarly journals About precipitates in boron doped Si investigated by dynamical X-ray diffraction

2014 ◽  
Vol 70 (a1) ◽  
pp. C1184-C1184
Author(s):  
Johannes Will ◽  
Alexander Gröschel ◽  
Erdmann Spiecker ◽  
Andreas Magerl
Keyword(s):  
Ostwald Ripening ◽  
Diffusion Constant ◽  
Misfit Strain ◽  
Dynamical Theory ◽  
Precipitation Kinetics ◽  
Precipitation Behavior ◽  
Boron Doped ◽  
Novel Approach ◽  
Long Time ◽  
Order Of Magnitude

Thickness-dependent Pendellösung oscillations as described in the dynamical theory of diffraction are highly sensitive to strain fields from defects in a host crystal. Based on this, we present a novel approach to determine the precipitation kinetics of oxygen in silicon (Si) at the early stages of clustering at high temperatures. We present in-situ measurements up to 11000C performed with the characteristic Kα1-line at 59.31 keV. The extracted static Debye-Waller factors are evaluated as a function of annealing time within a diffusion limited model of growing spherical precipitates. We investigated moderately p- ([B] ≍ 1015 1/cm3) and highly p+ ([B] ≍ 1018 1/cm3) boron doped Czochralski Si crystals at different nucleation and growth temperatures to determine the nucleation and precipitation kinetics as well as the long time precipitation behavior. At 6500C the diffusion constant found is enhanced compared to the extrapolated value for normal diffusion [1], and it is one order of magnitude lower compared to SIMS data [2]. However, it is close to the value obtained from dislocation unlocking experiments [3]. Moreover, the nucleation rates in p+ material are enhanced at 4500C and 7800C compared to the p- samples. The acceleration at 4500C can be explained with boron enhanced oxygen dimer diffusion, whereas the nucleation rate at 7800C is much too high to be accounted for by the enhanced oxygen dimer diffusivity alone. An analysis of the misfit strain yields a platelet morphology of the precipitates with a higher aspect ratio in the p- than in the p+ case. The long time precipitation behavior at 9000C shows a second growth regime of comparable amplitude in both materials. This can be interpreted as Ostwald ripening and gives access to the surface energy of the precipitates.

scholarly journals The heterogeneity of drug response as the basis of identification of essential tremor subtypes

2018 ◽  
Vol 16 (1) ◽  
pp. 54-59 ◽  
Author(s):  
Zamira M Muruzheva ◽  
Marina N Karpenko ◽  
Victor M Klimenko
Keyword(s):  
Drug Therapy ◽  
Essential Tremor ◽  
Drug Response ◽  
Social Activity ◽  
Body Parts ◽  
Gamma Aminobutyric Acid ◽  
Pharmacological Response ◽  
Novel Approach ◽  
Antagonist Muscles ◽  
Long Time

Introduction. Essential tremor (ET) is one of the most common movement disorders. It is mainly characterized by postural and kinetic tremor, affecting arms and other body parts. Progression of ET violates social activity, lowers self-esteem, and occasionally leads to the patient’s disability. Selection of an effective drug therapy for ET is mostly carried out empirically and takes long time, which causes additional negative psycho-emotional effects, distrust of the doctor and abandonment of the treatment. Present study is aimed at the implementing a novel approach to the segregation of ET subtypes based on the heterogeneity of the pharmacological response. Results. Neuroanatomical, electrophysiological and biochemical data published to date are outlined in the current paper, to designate parameters for identification of ET subtypes with deterministic pharmacological response. Before prescribing pharmacotherapy for patients with ET, it is necessary to perform asurface electromyography to identify the patterntype of antagonist muscles contractions. In addition, the concentration of glutamate and gamma-aminobutyric acid in peripheral blood should be determined. Conclusion. The heterogeneity of pharmacological response among patients with ET necessitates a more subtle classification within the syndrome by neuroanatomical, electrophysiological and biochemical indicators. The approach proposed in the review will increase the effectiveness of therapy and improve the lifequality of patients with ET. (For citation: Muruzheva ZM, Karpenko MN, Klimenko VM. The heterogeneity of drug response as the basis of identificationof essential tremor subtypes. Reviews on Clinical Pharmacology and Drug Therapy. 2018;16(1):54-59. doi: 10.17816/RCF16154-59).

scholarly journals Preparation of Few-Layer Graphene Dispersions from Hydrothermally Expanded Graphite

2019 ◽  
Vol 9 (12) ◽  
pp. 2539 ◽  
Author(s):  
Cristian Vacacela Gomez ◽  
Talia Tene ◽  
Marco Guevara ◽  
Gabriela Tubon Usca ◽  
Dennys Colcha ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Expanded Graphite ◽  
Hexadecyltrimethylammonium Bromide ◽  
Natural Graphite ◽  
Layer Graphene ◽  
Novel Approach ◽  
Long Time ◽  
Few Layer Graphene ◽  
Scalable Production ◽  
Surfactant Aqueous Solution

In this study, we propose a novel approach to prepare few-layer graphene (FLG) dispersions, which is realized by exfoliating natural graphite flakes in a surfactant aqueous solution under hydrothermal treatment and liquid-phase exfoliation. In order to obtain stable and well-dispersed FLG dispersions, pristine graphite is hydrothermally expanded in a hexadecyltrimethylammonium bromide (CTAB) aqueous solution at 180 °C for 15 h, followed by sonication up to 3 h. In comparison to long-time sonication methods, the present method is significantly efficient, and most importantly, does not involve the use of an oxidizing agent and hazardous media, which will make it more competent in the scalable production of graphene.

Design, Simulation, and Experimental Validation of Thermally Infused Hydraulic Ram Pump

2021 ◽  
pp. 1-20
Author(s):  
Ashenafi Abebe Mebrat ◽  
Yilma Tadesse ◽  
Asfaw Beyene
Keyword(s):  
Cfd Simulation ◽  
Power Input ◽  
Internal Diameter ◽  
Novel Approach ◽  
Long Time ◽  
Simulation And Experiment ◽  
External Power ◽  
Computational Fluid Dynamics Cfd ◽  
Low Performance ◽  
Science And Research

Abstract Hydraulic ram pump, also known as hydram, lifts water without using external power input. Its low performance combined with affordability of fuels has put this otherwise longstanding technology in the backburner of science and research for a long time, yielding to electric or fuel powered pumps. However, growing concerns about the impacts of fossil fuel use on the environment as well as the rising price of electricity has generated a renewed interest in such technology. The ram pump's operation in remote areas where power grid is not available adds research value on the technology. In this project, a novel approach, i.e., adding thermal energy to the flow to assist the water hammer pressure was modelled. Computational Fluid Dynamics (CFD) simulation was conducted using ANSYS. The results were validated experimentally in a 32 mm (27 mm internal diameter) drive pipe and a supply head of 2.18 m ram pump. The Analytical approach was more conservative. The results between simulation and experiment were fairly consistent, with only 6.99% error for pressure, and 10.16% for flow rate. The results show that pressure increased from 183.33 kPa to 342.32 kPa when thermally assisted to reach 150 °C. The experimental discharge flow increased from 11.72 L/min to 16.41 L/min for the corresponding temperature, a 42.01% increase.

scholarly journals Fatigue crack analysis of ferrite material by acoustic emission technique

2019 ◽  
Vol 13 (2) ◽  
pp. 5074-5089
Author(s):  
Md. T. I. Islam Khan ◽  
A. A. Rashid ◽  
R. Hidaka ◽  
N. Hattori ◽  
Md. M. Islam
Keyword(s):  
Acoustic Emission ◽  
Fractal Dimension ◽  
Crack Propagation ◽  
Fatigue Loading ◽  
Dynamic Monitoring ◽  
Dynamic Crack ◽  
Propagation Behavior ◽  
Novel Approach ◽  
Crack Volume ◽  
Long Time

Recently in various fields, numerous researches are going on for the assessment of material damage on the basis of crack initiation and propagation. Various methods are available in NDT for this purpose, among which analysis using released acoustic emission (AE) waves due to crack propagation is very effective due to its dynamic monitoring features. Various approaches are proposed for long time to make it an ideal method for accurate monitoring of crack behaviors in materials. In fragmentation theory there are some proportionality among the relations of AE event, AE energy, area and volume of cracks etc., which are calculated from the released AE waves from any dynamic crack. It has been found that the necessity of calculating the fractal dimension is important in verifying these relationships. This parameter is emphasized for determining the geometry of the irregularity in crack surface and crack volume. In this paper a novel approach based on image processing is proposed to find out the fractal dimension for analyzing the crack propagation characteristics. Finally, the proportionality relationships of AE parameters with crack propagation behavior in ferrite cast iron under fatigue loading are demonstrated experimentally.

scholarly journals Using Deep Learning for Collecting Data about Museum Visitor Behavior

2022 ◽  
Vol 12 (2) ◽  
pp. 533
Author(s):  
Alessio Ferrato ◽  
Carla Limongelli ◽  
Mauro Mezzini ◽  
Giuseppe Sansonetti
Keyword(s):  
Video Sequence ◽  
Low Cost ◽  
Museum Visitors ◽  
Visitor Behavior ◽  
Active User ◽  
Novel Approach ◽  
Critical Issues ◽  
Long Time ◽  
Unique Experience ◽  
Real Scenario

Nowadays, technology makes it possible to admire objects and artworks exhibited all over the world remotely. We have been able to appreciate this convenience even more in the last period, in which the pandemic has forced us into our homes for a long time. However, visiting art sites in person remains a truly unique experience. Even during on-site visits, technology can help make them much more satisfactory, by assisting visitors during the fruition of cultural and artistic resources. To this aim, it is necessary to monitor the active user for acquiring information about their behavior. We, therefore, need systems able to monitor and analyze visitor behavior. The literature proposes several techniques for the timing and tracking of museum visitors. In this article, we propose a novel approach to indoor tracking that can represent a promising and non-expensive solution for some of the critical issues that remain. In particular, the system we propose relies on low-cost equipment (i.e., simple badges and off-the-shelf RGB cameras) and harnesses one of the most recent deep neural networks (i.e., Faster R-CNN) for detecting specific objects in an image or a video sequence with high accuracy. An experimental evaluation performed in a real scenario, namely, the “Exhibition of Fake Art” at Roma Tre University, allowed us to test our system on site. The collected data has proven to be accurate and helpful for gathering insightful information on visitor behavior.

scholarly journals Effect of saliva fluid properties on pathogen transmissibility

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jonathan Reyes ◽  
Douglas Fontes ◽  
Alexander Bazzi ◽  
Michelle Otero ◽  
Kareem Ahmed ◽  
...  
Keyword(s):  
Droplet Size ◽  
Droplet Size Distribution ◽  
Pathogen Transmission ◽  
Diagnostic Methods ◽  
Airborne Transmission ◽  
Potential Control ◽  
Novel Approach ◽  
Respiratory Events ◽  
Fluid Properties ◽  
Long Time

AbstractWith an increasing body of evidence that SARS-CoV-2 is an airborne pathogen, droplet character formed during speech, coughs, and sneezes are important. Larger droplets tend to fall faster and are less prone to drive the airborne transmission pathway. Alternatively, small droplets (aerosols) can remain suspended for long time periods. The small size of SARS-CoV-2 enables it to be encapsulated in these aerosols, thereby increasing the pathogen’s ability to be transmitted via airborne paths. Droplet formation during human respiratory events relates to airspeed (speech, cough, sneeze), fluid properties of the saliva/mucus, and the fluid content itself. In this work, we study the fluidic drivers (fluid properties and content) and their influence on factors relating to transmissibility. We explore the relationship between saliva fluid properties and droplet airborne transmission paths. Interestingly, the natural human response appears to potentially work with these drivers to mitigate pathogen transmission. In this work, the saliva is varied using two approaches: (1) modifying the saliva with colloids that increase the viscosity/surface tension, and (2) stimulating the saliva content to increased/decreased levels. Through modern experimental and numerical flow diagnostic methods, the character, content, and exposure to droplets and aerosols are all evaluated. The results indicate that altering the saliva properties can significantly impact the droplet size distribution, the formation of aerosols, the trajectory of the bulk of the droplet plume, and the exposure (or transmissibility) to droplets. High-fidelity numerical methods used and verify that increased droplet size character enhances droplet fallout. In the context of natural saliva response, we find previous studies indicating natural human responses of increased saliva viscosity from stress and reduced saliva content from either stress or illness. These responses both favorably correspond to reduced transmissibility. Such a finding also relates to potential control methods, hence, we compared results to a surgical mask. In general, we find that saliva alteration can produce fewer and larger droplets with less content and aerosols. Such results indicate a novel approach to alter SARS-CoV-2’s transmission path and may act as a way to control the COVID-19 pandemic, as well as influenza and the common cold.

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