Deep generative model super-resolves spatially correlated multiregional climate data.

Super-resolving the coarse outputs of global climate simulations, termed downscaling, is crucial in making political and social decisions on systems requiring long-term climate change projections. Existing fast super-resolution techniques, however, have yet to preserve the spatially correlated nature of climatological data, which is particularly important when we address systems with spatial expanse, such as the development of transportation infrastructure. Herein, we show an adversarial network-based machine learning enables us to correctly reconstruct the inter-regional spatial correlations in downscaling with high magnification of up to 50 while maintaining pixel-wise statistical consistency.

Seq2seq Fingerprint with Byte-Pair Encoding for Predicting Changes in Protein Stability upon Single Point Mutation.

The engineering of stable proteins is crucial for various industrial purposes. Several machine learning methods have been developed to predict changes in the stability of proteins corresponding to single point mutations. To improve the prediction accuracy, we propose a new unsupervised descriptor for protein sequences, which is based on a sequence-to-sequence (seq2seq) neural network model combined with a sequence-compression method called byte-pair encoding (BPE).

Development of urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) measurement method combined with SPE.

A novel separation method of urinary 8-hydroxy-2'-deoxyguanosine (8-OHdG) was developed. The C(18) and the strong cation-exchange (SCX) columns were employed to separate urinary 8-OHdG. The major interfering substances were removed by the consecutive processes of the C(18) and the SCX columns.

Determination of human serum 8-hydroxy-2'-deoxyguanosine (8-OHdG) by HPLC-ECD combined with solid phase extraction (SPE).

Human serum 8-hydroxy-2'-deoxyguanosine (8-OHdG) was measured by HPLC-ECD method combined with solid phase extraction (SPE) developed by our group: (our proprietary kit, named 8-OHdG Pre-treatment Kit (TANITA Corporation)). The major interfering substances and proteins in serum were removed by 8-OHdG Pre-treatment Kit. This measurement method was highly reproducible (CV=2.

Development of a package-free transparent disposable biosensor chip for simultaneous measurements of blood constituents and investigation of its storage stability.

A package-free transparent disposable biosensor chip was developed by a screen-printing technique. The biosensor chip was fabricated by stacking a substrate with two carbon electrodes on its surface, a spacer consisting of a resist layer and an adhesive layer, and a cover. The structure of the chip keeps the interior of the reaction-detecting section airtight until use.

Cyclic voltammetric simulation of electrochemically mediated enzyme reaction and elucidation of biosensor behaviors.

A cyclic voltammetric simulation that can be applied to an electrochemically mediated enzyme reaction involving any substrate and mediator concentration was developed. Concentration polarization of the substrate in the vicinity of an electrode was considered as well as mediator concentration. Reversible electrochemical reaction with one electron followed by an enzyme reaction with two electrons was modeled.