Advancements in quantum computing pose a threat to public-key cryptosystems, leading to the development of post-quantum cryptography. NIST is standardizing candidate algorithms, with BIKE, a code-based key encapsulation mechanism, among those under consideration. Performance is crucial in NIST PQC standardization process, and researchers have introduced a range of optimization techniques for BIKE across various platforms. To the best of our knowledge, our Efficient CryptOgraphy BIKE (ECO-BIKE) represents the first attempt at optimizing the implementation of BIKE on GPU architecture. In this paper, we introduce a comprehensive construction of a 3-threading parallel architecture tailored for the BIKE cryptosystem. This architecture covers a range of computational tasks, addressing operations from low-level to high-level computations. These include a parallel dense polynomial multiplication scheme with a better memory access pattern and a better XOR calculation, which forms the basis for a comprehensive parallel execution framework for the entire BIKE algorithm. Targeted optimizations are implemented for specific modules (KEYGEN, ENCAPS, DECAPS), which collectively enhance the overall efficiency of the algorithm. Our ECO-BIKE exhibits exceptional throughput performance on the NVIDIA GeForce RTX 4090. In the 3-thread mode, the throughput of the KEYGEN, ENCAPS, and DECAPS modules reaches 24.033 kops/s, 277.789 kops/s, and 5.817 kops/s, respectively. Our proposed optimal parallel multiplication scheme achieves a significantly higher overall throughput of 481.302 kops/s. These results highlight the substantial computational advantages our approach provides for cryptographic workloads.

Vortex beams are a new type of electromagnetic wave, carrying orbital angular momentum (OAM), with a spiral phase structure, and its demodulation method is different from plane waves. Thus, OAM beams own the ability of anti-deceptive jamming. In this paper, the interference model is built, and whole aperture sampling reception (WASR) is utilized to receive the waveform. Furthermore, the mode distributions are simulated in two cases with and without interference, respectively, to validate the superior capability of anti-interference. The analysis is expected to provide a reference for radar design.

In this paper, we demonstrated a novel electrochemical uric acid (UA) test strip by integrating the blood cells filtration membrane with the electrochemical UA test strip. The conventional electrochemical UA biosensor suffered from the effect of blood cells in the whole blood sample. The blood cells in the whole blood can impede the UA molecules transfer from the bulky blood solution to the surface of the enzyme-immobilized working electrode. If the concentration of the blood cells was extremely higher/lower, the electrochemical current signal generated by the electrochemical sensor was significantly prohibited, which was capable of resulting in the wrong measured result. The fatal drawbacks of the conventional UA test strip limited its application in blood UA monitoring at the point of care scale. In the proposed structure of the new designed electrochemical UA test strip, the blood cells filtration membrane was added in the blood collection pore. The blood plasma was driven by the hydrophilic force to fill the electrochemical reaction channel. The effect of the blood cells on the measured result can be significantly prohibited. The clinical verification of the proposed UA test strip was evaluated by comparing to the bulky biochemical analyzer. The experimental results demonstrated that the proposed UA test strips were precise enough with comparable accuracy to the clinical laboratory standard, which is a very promising tool for precisely monitoring the blood UA.