Results 121 to 130 of about 2,163,207 (263)

Adaptive DNA Cryptography With Intelligent Machine Learning for Cloud Data Defense

Engineering Reports, Volume 7, Issue 6, June 2025.
Algorithm 2 outlines the process of decrypting DNA‐encoded data retrieved from cloud storage. The DNA‐encoded fragments are first retrieved from the cloud and then concatenated to reconstruct the complete DNA‐encoded data. Subsequently, the DNA sequence is decoded back into encrypted digital data using the reverse of the defined encoding scheme ...
Animesh Kairi, Tapas Bhadra, Saroj Kumar Pandey, Anurag Sinha, Anindya Nag   +4 more
wiley   +1 more source

A comparison of integration methods for single‐cell RNA sequencing data and ATAC sequencing data

Quantitative Biology, Volume 13, Issue 2, June 2025.
Abstract Single‐cell genomics give us a new perspective to understand multivariate phenotypic and genetic effects at the cellular level. Recently, technologies have started measuring different modalities of individual cells, such as transcriptomes, epigenomes, metabolomes, and spatial profiling.
Yulong Kan, Weihao Wang, Yunjing Qi, Zhongxiao Zhang, Xikeng Liang, Shuilin Jin   +5 more
wiley   +1 more source

Assessment of Practical Satellite Quantum Key Distribution Architectures for Current and Near‐Future Missions

International Journal of Satellite Communications and Networking, Volume 43, Issue 3, Page 164-192, May/June 2025.
ABSTRACT Quantum key distribution (QKD) allows the generation of cryptographic keys beyond the computational hardness paradigm and is befitting for secure data transmission requiring long‐term security. The communication distance of fiber‐based QKD, however, is limited to a few hundred kilometers due to the exponential scaling of signal attenuation ...
Davide Orsucci, Philipp Kleinpaß, Jaspar Meister, Innocenzo De Marco, Stefanie Häusler, Thomas Strang, Nino Walenta, Florian Moll   +7 more
wiley   +1 more source

Key Distribution using Double Keyed-hash Chains for Wireless Sensor Networks

, 2013
Jianmin Zhang, Jianwei Tan, Jian Li
openalex   +1 more source

Vertically Recurrent Neural Networks for Sub‐Grid Parameterization

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 6, June 2025.
Abstract Machine learning has the potential to improve the physical realism and/or computational efficiency of parameterizations. A typical approach has been to feed concatenated vertical profiles to a dense neural network. However, feed‐forward networks lack the connections to propagate information sequentially through the vertical column.
P. Ukkonen, M. Chantry
wiley   +1 more source

Big Atomics [PDF]

arXiv
In this paper, we give theoretically and practically efficient implementations of Big Atomics, i.e., $k$-word linearizable registers that support the load, store, and compare-and-swap (CAS) operations. While modern hardware supports $k = 1$ and sometimes $k = 2$ (e.g., double-width compare-and-swap in x86), our implementations support arbitrary $k ...
arxiv  

An Efficient data management Scheme for Hierarchical Multi-processing using Double Hash Chain

, 2015
Yoon-Su Jeong, Yong-Tae Kim, Gil-Cheol Park   +2 more
openalex   +2 more sources

Neutrophil‐to‐lymphocyte ratio at the start of the second course of durvalumab plus tremelimumab therapy predicts therapeutic efficacy in patients with advanced hepatocellular carcinoma: A multicenter analysis

Hepatology Research, Volume 55, Issue 6, Page 883-895, June 2025.
Durvalumab plus tremelimumab (Dur/Tre) therapy is expected to have good therapeutic efficacy for patients with unresectable hepatocellular carcinoma (u‐HCC). We revealed that the neutrophil‐to‐lymphocyte ratio at the start of the second course (NLR‐2c) value is useful for predicting PFS in u‐HCC patients treated with Dur/Tre therapy.
Takanori Suzuki, Kentaro Matsuura, Satoshi Sobue, Daisuke Kato, Katsumi Hayashi, Hiromu Kondo, Kaiki Anbe, Tsutomu Mizoshita, Kohei Okayama, Fumihiro Okumura, Yoshihide Kimura, Atsushi Ozasa, Hiroki Inada, Takayuki Tokunaga, Satoshi Narahara, Hayato Kawamura, Kei Fujiwara, Shunsuke Nojiri, Hiromi Kataoka, Yasuhito Tanaka   +19 more
wiley   +1 more source

Quantum One-Wayness of the Single-Round Sponge with Invertible Permutations [PDF]

arXiv
Sponge hashing is a widely used class of cryptographic hash algorithms which underlies the current international hash function standard SHA-3. In a nutshell, a sponge function takes as input a bit-stream of any length and processes it via a simple iterative procedure: it repeatedly feeds each block of the input into a so-called block function, and then
arxiv  

Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management [PDF]

arXiv
FastText has established itself as a fundamental algorithm for learning word representations, demonstrating exceptional capability in handling out-of-vocabulary words through character-level n-gram embeddings. However, its hash-based bucketing mechanism introduces critical limitations for large-scale industrial deployment: hash collisions cause ...
arxiv