Results 161 to 170 of about 89,051 (286)
Cryptanalysis of Stream Ciphers with Linear Masking [PDF]
Don Coppersmith +2 more
openalex +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Bitwise XOR linear space creation through permutation and the ease to enable XOR-free processes. [PDF]
Shetty S +3 more
europepmc +1 more source
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides +13 more
wiley +1 more source
LWLCM: A novel lightweight stream cipher using logistic chaos function and multiplexer for IoT communications. [PDF]
Afzal S +5 more
europepmc +1 more source
Camellia: A 128-Bit Block Cipher Suitable for Multiple Platforms — Design andAnalysis
Kazumaro Aoki +6 more
openalex +1 more source
A cipher based on data-dependent permutations [PDF]
A. A. Moldovyan, N. A. Moldovyan
openalex +1 more source
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova +26 more
wiley +1 more source
Digital image encryption utilizing high-dimensional cellular neural networks and lower-upper triangular decomposition of matrix. [PDF]
Tao L, Liang X, Han L, Hu B.
europepmc +1 more source

