Abstract: A method, computer system, and a computer program product for enhancing deployed machine learning (ML) models using prompt learning is provided. The present invention may include receiving an input for a prediction task using a first ML model. The present invention may also include adding a feature to the received input using a second ML model, where the added feature is recognized by the first ML model. The present invention may further include predicting, using the first ML model, an output for the received input based on the added feature, wherein the predicted output by the first ML model based on the added feature includes an improved accuracy relative to another predicted output by the first ML model without considering the added feature.

Abstract: A quantum dot composite structure and a method for forming the same are provided. The quantum dot composite structure includes: a glass particle including a glass matrix and a plurality of quantum dots located in the glass matrix, wherein at least one of the plurality of quantum dots includes an exposed surface in the glass matrix; and an inorganic protective layer disposed on the glass particle and covering the exposed surface.

Abstract: Embodiments of the present disclosure relate to a method, a device and a computer program product for recovering data. The method comprises in response to receiving a request to recover data from a backup node to a source node, determining a plurality of candidate backup nodes having copies of the data; determining respective performance indicators of the plurality of candidate backup nodes; and determining, from the plurality of candidate backup nodes, the backup node for recovering the data to the source node based on the respective performance indicators of the plurality of candidate backup nodes.

Abstract: A corrosion-resistant electrode catalyst for oxygen reduction includes a main catalyst composed of at least one transition metal oxide selected from oxygen-deficient ZrO2, Ta2O5, Nb2O5, TiO2, V2O5, MoO3, and WO3 and a co-catalyst composed of gold. The electrode catalyst is used in contact with an acidic electrolyte at a potential at least 0.4 V higher than the reversible hydrogen electrode potential. The catalyst may be used, for example, in such a form that the transition metal oxide in the form of fine particles and gold in the form of fine particles, or fine particles including fine gold particles coated with the transition metal oxide are dispersed on a catalyst carrier which is an electron conductive powder. This electrode catalyst is suitable as an electrode catalyst for an electrochemical system using an acidic electrolyte in the fields of water electrolysis, inorganic/organic electrolysis, fuel cells, etc.

Abstract: A corrosion-resistant electrode catalyst for oxygen reduction includes a main catalyst composed of at least one transition metal oxide selected from oxygen-deficient ZrO2, Ta2O5, Nb2O5, TiO2, V2O5, MoO3, and WO3 and a co-catalyst composed of gold. The electrode catalyst is used in contact with an acidic electrolyte at a potential at least 0.4 V higher than the reversible hydrogen electrode potential. The catalyst may be used, for example, in such a form that the transition metal oxide in the form of fine particles and gold in the form of fine particles, or fine particles including fine gold particles coated with the transition metal oxide are dispersed on a catalyst carrier which is an electron conductive powder. This electrode catalyst is suitable as an electrode catalyst for an electrochemical system using an acidic electrolyte in the fields of water electrolysis, inorganic/organic electrolysis, fuel cells, etc.