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The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
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The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
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Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
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GSC: efficient lossless compression of VCF files with fast query.

Xiaolong Luo1, Yuxin Chen2,3,4, Ling Liu5

  • 1College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.

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|July 19, 2024
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Summary
This summary is machine-generated.

Genotype Sparse Compression (GSC) offers superior lossless compression for large variant call format (VCF) files, significantly reducing storage needs. This specialized tool enhances genomic data management by balancing high compression ratios with efficient data access.

Keywords:
VCF/BCF fileslossless compressionrapid random access

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Area of Science:

  • Bioinformatics
  • Genomics
  • Data Compression

Background:

  • Large-scale genome sequencing generates massive Variant Call Format (VCF) files, posing storage and analysis challenges.
  • Existing compression methods struggle to balance high compression ratios with fast random access for VCF data.

Purpose of the Study:

  • Introduce Genotype Sparse Compression (GSC), a novel lossless compression tool specifically designed for VCF files.
  • Evaluate GSC's performance against state-of-the-art compression tools for genomic data.

Main Methods:

  • Developed GSC, a specialized lossless compression algorithm for VCF files.
  • Conducted benchmark tests comparing GSC with GBC, GTC, gzip, zstd, and BCFtools on various open-source datasets.

Main Results:

  • GSC achieved 26.9%–82.4% higher compression ratios compared to GBC and GTC.
  • In lossless scenarios, GSC provided 1.5×–6.5× greater compression than general-purpose tools.
  • GSC demonstrated competitive decompression query speeds and superior RAM usage, despite some trade-offs in decompression time.

Conclusions:

  • GSC effectively balances high compression ratios with rapid data access, improving genomic data management.
  • The tool supports seamless PLINK binary format conversion, facilitating downstream analyses.