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Biorefining of second-generation feedstock gains more attention to improve the living standards and promote circular bioeconomy. The biorefinery concept made an effort to make the environmentally sust...
G-proteins are molecular on–off switches that are involved in transmitting a variety of extracellular signals to their intracellular targets. In animal and yeast systems, the switch property is encode...
Leaf water potential (ψ leaf), typically measured using the pressure chamber, is the most important metric of plant water status, providing high theoretical value and information content for multiple ...
Enhancing the fire safety of epoxy resin (EP) concomitant with less mechanical performance degradation is still a challenge for traditional flame retardants. Hence, polypyrrole (PPy) was used as a fil...
Delicate mediation on structural properties and surface wettability of catalysts is the key strategy towards a high catalytic performance but remains challenging. Herein, organic-inorganic hybrid Ti-c...
The Generic Group Model (GGM) is one of the most important tools for analyzing the hardness of a cryptographic problem. Although a proof in the GGM provides a certain degree of confidence in the probl...
Securing Neural Network (NN) computations through the use of Fully Homomorphic Encryption (FHE) is the subject of a growing interest in both communities. Among different possible approaches to that to...
Forward Secrecy (FS) is a security property in key-exchange algorithms which guarantees that a compromise in the secrecy of a long-term private-key does not compromise the secrecy of past session keys...
Traditional Certificate-based public key infrastructure (PKI) suffers from the problem of certificate overhead like its storage, verification, revocation etc. To overcome these problems, the idea of c...
With this work, we intend on demonstrating the need for improvements to the currently standardized AES family of cryptosystems, and provide a solution that meets the requirements of long-term security...
Clustering analysis is one of the most significant unsupervised machine learning tasks, and it is utilized in various fields associated with privacy issue including bioinformatics, finance and image p...
We propose Lelantus, a new anonymous payment system which ensures both transaction confidentiality and anonymity with small proof sizes, short verification times and without requiring a trusted setup.
We present an optimized, constant-time software library for commutative supersingular isogeny Diffie-Hellman key exchange (CSIDH) proposed by Castryck et al. which targets 64-bit ARM processors. The p...
Technology development really reaches its highest point when it becomes a tool to facilitate life to people, especially to those more disadvantaged groups. This is the case of people with disabilities...
In recent years, the diffusion of large image datasets and an unprecedented computational power have boosted the development of a class of artificial intelligence (AI) algorithms referred to as deep l...

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