Incoherent neutron scattering is a powerful tool to investigate the dynamics of biomolecules and water. In this article, a new dynamical model called “

Diseases and healing are fully determined by the behaviour of molecules. In turn, all molecular reactions are determined by the shape of electron density clouds, forming the actual “bodies” of molecules. Molecular shapes which are mirror images but not superimposable on each other, just as left and right hands, are called “chiral”. Such chiral molecule pairs have equal energies and equal stabilities, but they fit differently into various surroundings. The left handed variants of amino acids dominate in life forming molecules on Earth, and the right-handed forms are “misfits” in living tissues. The purpose of this research is the detailed understanding of molecular processes causing left-to-right mutations of amino acids and peptides, some of which processes do contribute to cataract in the eye.

Globally-coupled low-density parity check (GC-LDPC) codes have shown great application potential in the error correction of NAND Flash memories. However, the existing LDPC encoder architectures cannot fully use the structure characteristic of GC-LDPC codes. In this letter, focusing on the particular globally-coupled structure, we propose a memory-efficient multiplex-parallel GC-LDPC encoding method and corresponding efficient GC-LDPC encoder architecture. By reusing the local submatrices and optimizing the operation order of piecewise parity bits, the proposed encoding method has low storage overhead and encoding complexity. Then, based on the designed extended shift-register-adder-accumulator (E-SRAA) unit and barrel shifter, we optimize the operator scheduling of the proposed GC-LDPC encoding method when its local encoding is different. The implementation results under various FPGA technologies show that the proposed GC-LDPC encoder architecture achieves a markedly higher throughput-to-resource overhead ratio than existing similar LDPC encoder architectures. Meanwhile, it can meet the bandwidth requirement of ONFI 6.0.

In this work, we establish a heuristic strategy, the purpose of which is enhancing the posing of new problems in the school context. The strategy is supported by a cognitive framework consisting of six stages: Selecting, Classifying, Associating, Searching, Verbalizing, and Transforming. The first five actions make up an essentially creative process, while the last stage is present within the nucleus of the previous ones. This provides the process with a high level of complexity. Compactly, we call the strategy SCASV+T. We reflect on the heuristic nature of the strategy, as well as the didactic actions that are required for its implementation. We also describe a didactic situation in elementary geometry, where the posing of new problems based on one already solved is discussed. The analysis is carried out with students who are studying a Bachelor’s degree in Mathematics Education, who know the strategy and try to put it into practice collectively. Analysis and discussion are led by a professor, who provides suggestions and demonstrates the importance of each action in the development of heuristic reflection.