The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes at a past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized.

The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes at a past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized.

Provided are a sodium ion-conductive crystal-containing solid electrolyte sheet capable of giving excellent battery characteristics even when reduced in thickness, and an all-solid-state battery using the same. The solid electrolyte sheet contains at least one type of sodium ion-conductive crystal selected from β″-alumina and NASICON crystal and has a thickness of 500 μm or less and a flatness of 200 μm or less.

Provided are a sodium ion-conductive crystal-containing solid electrolyte sheet capable of giving excellent battery characteristics even when reduced in thickness, and an all-solid-state battery using the same. The solid electrolyte sheet contains at least one type of sodium ion-conductive crystal selected from β″-alumina and NASICON crystal and has a thickness of 500 μm or less and a flatness of 200 μm or less.

A member for a plasma processing apparatus configured of a tubular body composed of a ceramic having a rare earth element oxide, aluminum oxide, or a rare earth element aluminum composite oxide as a main constituent and including a through hole in an axial direction, in which a number of recessed portions having a depth of from 10 μm to 20 μm, the depth starting from a ridge located between an inner peripheral surface of the tubular body and a target observation surface obtained by polishing from an outer peripheral surface of the tubular body toward an axis, is 2 or less per 1 mm of the ridge.

A member for a plasma processing apparatus configured of a tubular body composed of a ceramic having a rare earth element oxide, aluminum oxide, or a rare earth element aluminum composite oxide as a main constituent and including a through hole in an axial direction, in which a number of recessed portions having a depth of from 10 μm to 20 μm, the depth starting from a ridge located between an inner peripheral surface of the tubular body and a target observation surface obtained by polishing from an outer peripheral surface of the tubular body toward an axis, is 2 or less per 1 mm of the ridge.

A system for determining pH of a fluid and a method to determine the pH of a fluid contacting a sensor, the method having the steps of: providing the sensor to an environment such that the sensor is in contact with the fluid, wherein the sensor features a fiber extending between a first end and a second end along a longitudinal axis, wherein the fiber further features a medial portion positioned between the first and second ends, wherein the sensor further features a pH sensitive coating on the medial portion of the fiber, and wherein the pH sensitive material features a metal oxide including but not limited to SiO.sub.2, TiO.sub.2, ZrO.sub.2, Ta.sub.2O.sub.5, A.sub.2O.sub.3, and combinations thereof; interrogating the sensor with an optical signal; collecting a modified optical signal after the sensor has been interrogated; and determining the pH of the fluid contacting the pH sensor using the modified optical signal.

A system for determining pH of a fluid and a method to determine the pH of a fluid contacting a sensor, the method having the steps of: providing the sensor to an environment such that the sensor is in contact with the fluid, wherein the sensor features a fiber extending between a first end and a second end along a longitudinal axis, wherein the fiber further features a medial portion positioned between the first and second ends, wherein the sensor further features a pH sensitive coating on the medial portion of the fiber, and wherein the pH sensitive material features a metal oxide including but not limited to SiO.sub.2, TiO.sub.2, ZrO.sub.2, Ta.sub.2O.sub.5, A.sub.2O.sub.3, and combinations thereof; interrogating the sensor with an optical signal; collecting a modified optical signal after the sensor has been interrogated; and determining the pH of the fluid contacting the pH sensor using the modified optical signal.

An aluminum oxide article containing at least aluminum atoms and oxygen atoms is described. When observed under a transmission electron microscope, a cross section of the aluminum oxide article contains crystallized parts, in which a crystal lattice image is recognizable, and a non-crystallized part, in which no crystal lattice image is recognizable, and has an island-and-sea structure consisting of isolated parts containing the crystallized parts and the continuous non-crystallized part. The isolated parts correspond to island parts in the island-and-sea structure, the continuous non-crystallized part corresponds to a sea part, and a plurality of the island parts are uniformly distributed in the sea part. An aluminum oxide for improving the battery performance of a lithium ion secondary battery, the scratch resistance and hardness of a cured film, and the gas barrier properties of a gas barrier film is provided.

An aluminum oxide article containing at least aluminum atoms and oxygen atoms is described. When observed under a transmission electron microscope, a cross section of the aluminum oxide article contains crystallized parts, in which a crystal lattice image is recognizable, and a non-crystallized part, in which no crystal lattice image is recognizable, and has an island-and-sea structure consisting of isolated parts containing the crystallized parts and the continuous non-crystallized part. The isolated parts correspond to island parts in the island-and-sea structure, the continuous non-crystallized part corresponds to a sea part, and a plurality of the island parts are uniformly distributed in the sea part. An aluminum oxide for improving the battery performance of a lithium ion secondary battery, the scratch resistance and hardness of a cured film, and the gas barrier properties of a gas barrier film is provided.