Abstract: Systems and methods for performing entity resolution. In some aspects, the system obtains a plurality of attributes represented in a plurality of records from one or more sources. The system generates a plurality of match vectors based on the plurality of attributes. Each match vector includes a set of attributes that match between a pair of records and a remaining set of attributes that are not required to match between the pair of records. The system processes the plurality of match vectors using an entity resolution model trained to output a binary indicator regarding whether one or more pairs of records for a match vector be merged. The system merges the one or more pairs of records for each match vector of the plurality of match vectors having a corresponding binary indicator output from the entity resolution model that pairs of records for the match vector be merged.

Abstract: Systems and methods for performing entity resolution. In some aspects, the system obtains a plurality of attributes represented in a plurality of records from one or more sources. The system generates a plurality of match vectors based on the plurality of attributes. Each match vector includes a set of attributes that match between a pair of records and a remaining set of attributes that are not required to match between the pair of records. The system processes the plurality of match vectors using an entity resolution model trained to output a binary indicator regarding whether one or more pairs of records for a match vector be merged. The system merges the one or more pairs of records for each match vector of the plurality of match vectors having a corresponding binary indicator output from the entity resolution model that pairs of records for the match vector be merged.

Abstract: Embodiments herein provide for a machine learning algorithm that generates models that are more interpretable and transparent than existing machine learning approaches. These embodiments identify, at a record level, the effect of individual input variables on the machine learning model. To provide those improvements, a reason code generator assigns monotonic relationships to a series of input variables, which are then incorporated into the machine learning algorithm as metadata. In some embodiments, the reason code generator creates records based on the monotonic relationships, which are used by the machine learning algorithm to generate predicted values. The reason code generator compares an original predicted value from the machine learning model to the predicted values from the machine learning model.

Abstract: This invention relates to the nano metal material preparation technology field, especially to the preparation method of one kind, of nano-rings. This invention uses polyvinyl pyrrolidone of different molecular weights as surface-protecting agent and dissolves silver nitrate in the low molecular weight polyvinyl pyrrolidone ethylene glycol solvent under frozen conditions. Frozen conditions can slow down or inhibit silver ions from being reduced to zero-valent silver, to generate silver nanoparticles coated and complexed with both low and high molecular weight polyvinyl pyrrolidone. Polyvinyl pyrrolidone of different molecular weight shows different selective absorption of silver, and different stability makes it affect the speed of growth of silver atoms along different crystal faces to different extent, which is better for silver nano-ring production, with higher yield.

Abstract: This invention relates to the nano metal material preparation technology field, especially to the preparation method of one kind, of nano-rings. This invention uses polyvinyl pyrrolidone of different molecular weights as surface-protecting agent and dissolves silver nitrate in the low molecular weight polyvinyl pyrrolidone ethylene glycol solvent under frozen conditions. Frozen conditions can slow down or inhibit silver ions from being reduced to zero-valent silver, to generate silver nanoparticles coated and complexed with both low and high molecular weight polyvinyl pyrrolidone. inyl pyrrolidone of different molecular weight shows different selective absorption of silver, and different stability makes it affect the speed of growth of silver atoms along different crystal faces to different extent, which is better for silver nano-ring production, with higher yield.

Abstract: Embodiments herein provide for a machine learning algorithm that generates models that are more interpretable and transparent than existing machine learning approaches. These embodiments identify, at a record level, the effect of individual input variables on the machine learning model. To provide those improvements, a reason code generator assigns monotonic relationships to a series of input variables, which are then incorporated into the machine learning algorithm as metadata. In some embodiments, the reason code generator creates records based on the monotonic relationships, which are used by the machine learning algorithm to generate predicted values. The reason code generator compares an original predicted value from the machine learning model to the predicted values from the machine learning model.

Abstract: Provided is a method for fabricating anti-reflection film with anti-PID effect. The method comprises: vacuuming a furnace tube, holding the temperature in the furnace at 420° C. and the pressure as 80 mTorr for 4 minutes; pretreating silicon wafers at 420° C. with a nitrous oxide flux of 3.8-4.4 slm and pressure of 1700 mTorr for 3 minutes; testing pressure to keep a inner pressure of the furnace tube as a constant value of 50 mTorr for 0.2-0.5 minute; pre-depositing at 420° C., with a ammonia gas flux of 0.1-0.5 slm, a silane flux of 180 sccm-200 sccm, a nitrous oxide flux of 3.5-4.1 slm, pressure of 1000 mTorr and radio frequency power of 4300 w for 0.3-0.5 minute; depositing a film at 450° C., with a ammonia gas flux of 2000-2200 sccm, a silane flux of 7000-7500 sccm, a nitrous oxide flux of 2-2.4 slm, pressure of 1700 mTorr and radio frequency power of 4300 w for 3 minutes; blowing and cooling the film at 420° C. with a nitrogen gas flux of 6-10 slm, pressure of 10000 mTorr for 5-8 minutes.

Abstract: Provided is a method for fabricating anti-reflection film with anti-PID effect. The method comprises: vacuuming a furnace tube, holding the temperature in the furnace at 420° C. and the pressure as 80 mTorr for 4 minutes; pretreating silicon wafers at 420° C. with a nitrous oxide flux of 3.8-4.4 slm and pressure of 1700 mTorr for 3 minutes; testing pressure to keep a inner pressure of the furnace tube as a constant value of 50 mTorr for 0.2-0.5 minute; pre-depositing at 420° C., with a ammonia gas flux of 0.1-0.5 slm, a silane flux of 180 sccm-200 sccm, a nitrous oxide flux of 3.5-4.1 slm, pressure of 1000 mTorr and radio frequency power of 4300 w for 0.3-0.5 minute; depositing a film at 450° C., with a ammonia gas flux of 2000-2200 sccm, a silane flux of 7000-7500 sccm, a nitrous oxide flux of 2-2.4 slm, pressure of 1700 mTorr and radio frequency power of 4300 w for 3 minutes; blowing and cooling the film at 420° C. with a nitrogen gas flux of 6-10 slm, pressure of 10000 mTorr for 5-8 minutes.