Quantum Security of Nonce-Based Encryption. [PDF]
Mao S, Wang P, Jia Y, Liu G, Liu B.
europepmc +1 more source
Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti +13 more
wiley +1 more source
An innovative framework for secure data transmission using machine learning based classification and ElGamal encryption with Ramanujan primes. [PDF]
Haritha N, Narayanan V, Srikanth R.
europepmc +1 more source
Eurus: Towards an Efficient Searchable Symmetric Encryption With Size Pattern Protection
Zheli Liu +6 more
openalex +2 more sources
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Hybrid cryptographic approach for strengthening IoT and 5G/B5G network security. [PDF]
Kumar A, Singh P, Kamble DP, Singh I.
europepmc +1 more source
Implementation of Attribute Based Symmetric Encryption Through Vertically Partitioned Data in PPDM
Devendrasinh Vashi +3 more
openalex +1 more source
Pretty Modular Symmetric Encryption (PMSE), compact algorithm for ''embedded cryptography'' with quite low computational cost [PDF]
Étienne Lemaire
openalex +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

