Abstract: A positive electrode active material includes a core containing Li1+xMn1yAyP1?zRzO4, a first coating layer covering the core and containing a crystalline pyrophosphate MaP2O7 and a crystalline oxide M?bOc, and a second coating layer covering the first coating layer.

Abstract: A self-calibrating apparatus for a sensor. The apparatus includes a gas sensor assembly, a membrane assembly and a driving assembly. The membrane assembly is disposed opposite to the gas sensor assembly. The driving assembly is disposed between the gas sensor assembly and the membrane assembly and is configured to selectively connect the membrane assembly with the gas sensor assembly or separate the membrane assembly from the gas sensor assembly.

Abstract: A solid-state ion conductor includes a compound of Formula (I): Li4+(b?a)y+c?+(a??)xM13+x+yM23?yM?xO12X1cX21?c??Formula (I) wherein, M1 is a cationic element having an oxidation state of +2 or +3; M2 is a cationic element having an oxidation state of +4 or +5; M? is a cationic element having an oxidation state of ?, wherein ? is less than b; X1 is a cluster anion having an oxidation state of (?1-?), wherein ? is 0 or 1; X2 is a halogen; 0<c?1; 0?x?1; and 0?y?2.

Abstract: A solid-state ion conductor includes a compound of Formula (I): Li4+xB7O12+0.5xX1aX21?a ??Formula (I) wherein, in Formula (I), 0?x?1; X1 is a pseudohalogen; X2 is a halogen; and 0<a?1.

Abstract: A class of compositions in the Li—Mn—O—F chemical space for Li-ion cathode materials. The compositions are cobalt-free, high-capacity Li-ion battery cathode materials synthesized with cation-disordered rocksalt (DRX) oxide or oxyfluorides, with the general formula LixMn2-xO2-yFy (1.1?x?1.3333; 0?y?0.6667). The compositions are characterized by: (i) high capacities (e.g., >240 mAh/g); (ii) high energy densities (e.g., >750 Wh/kg between 1.5-4.8V); (iii) favorable cyclability; and (iv) low cost.

Abstract: Systems and methods for generating a centerline for an object in an image are provided. An exemplary method includes receiving an image containing the object. The method also includes detecting at least one bifurcation of the object using a trained bifurcation learning network based on the image. The method further includes extracting the centerline of the object based on a constraint condition that the centerline passes through the detected bifurcation.

Abstract: A thermostatic module of a compact gas sensing device and a compact gas sensing device are disclosed. The thermostatic module includes a housing unit, a thermal insulation unit, a heat conducting unit, a temperature sensor, a heater and a control circuitry board. The thermal insulation unit is placed inside a first accommodation space provided by the housing unit, and forms therein a second accommodation space in which the heat conducting unit is placed. The interior of the heat conducting unit forms a third accommodation space where gas sensor modules can be housed, and also a gas passage channel. The heater generates and transfers heat to the heat conducting unit, whose interior temperature is constantly probed by the temperature sensor and input to the control circuitry board which dynamically adjusts the heating power by the heater to make sure the measured temperature is always stabilized around a preset target value.

Abstract: The present disclosure involves a reference line determination method and system. In a process of determining a reference line, a plurality of original images containing a first spatial position information are obtained. According to the plurality of original images, a composite image containing a second spatial position information is further determined. After a composition relationship between a plurality of original images was determined, a reference line is determined on the composite image according to the spatial position information.

Abstract: A solid-state ion conductor includes a compound of the formula NaxM12?(y+z)M2yM3z(AO4)3 wherein M1, M2, and M3 are each independently Hf, Mg, Sc, In, Y, Ca, or Zr; A is P, Si, S, or a combination thereof; 3?x?3.5; 0.5?y?1; and 0?z?0.5. The solid-state ion conductor can be useful in various components of an electrochemical cell.

Abstract: A bio-trickling filter box device capable of purifying organic wastewater and generating electricity is provided, which includes battery component(s) and a bio-trickling filter box component. The battery component(s) is provided in the bio-trickling filter box. The other end of each of trickling filter tube(s) is connected with a water tank. A water pump operates to make water flow through the trickling filter tube(s), pass through leakage holes and trickling holes, and drip into the battery component(s) in a water-drop manner, so as to supply an electric apparatus component with power. The bio-trickling filter box component(s) and the battery component(s) are combined, and the long-term impingement of water droplets on the battery component(s) can accumulate electric charge and generate the electricity. so as to provide power required by the electric apparatus component, which forms a biological treatment system that generates the power while treating the wastewater.

Abstract: A solid-state ion conductor includes a compound of Formula 1: Li6+(5?a)x?b*y?z(c+2)wA1?x(M1)ax(M2)byO5?z?wX1+zQcw??Formula 1 wherein, in Formula 1, A is an element having an oxidation state of +5, M1 is an element having an oxidation state of a, wherein a is +2, +3, +4, +6, +7, or a combination thereof, M2 is an element having an oxidation state of b, wherein b is +1, +2, or a combination thereof, X is an element having an oxidation state of ?1, Q is an element having an oxidation state of c, wherein c is less than ?2, and wherein ?2?(5?a)x?b*y?z?(c+2)w?2, 0?x?0.5, 0?y?0.5, ?1?z?1, 0?w?0.5.

Abstract: The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method includes receiving model inputs for a set of positions in an anatomical tree structure. The method further includes applying, by a processor, a learning network to the model inputs. The learning network comprises a set of encoders and a neural network modeling the anatomical tree structure, wherein each encoder provides features extracted from the model input at a corresponding position. The neural network has a plurality of nodes constructed according to the anatomical tree structure and each node is configured to process the extracted features from one or more of the encoders. The method additionally includes providing an output of the learning network as an analysis result of the anatomical tree structure analysis.

Abstract: The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method includes receiving model inputs for a set of positions in an anatomical tree structure. The method further includes applying, by a processor, a set of encoders to the model inputs. Each encoder is configured to extract features from the model input at a corresponding position. The method also includes applying, by the processor, a tree structured network to the extracted features. The tree structured network has a plurality of nodes each connected to one or more of the encoders, and information propagates among the nodes of the tree structured network according to spatial constraints of the anatomical tree structure. The method additionally includes providing an output of the tree structured network as an analysis result of the anatomical tree structure analysis.

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

Abstract: A solid-state ion conductor includes a compound of Formula (I): Li4+(b?a)y+c?+(a??)xM13+x+yM23?yM?xO12X1cX21?c??Formula (I) wherein, M1 is a cationic element having an oxidation state of +2 or +3; M2 is a cationic element having an oxidation state of +4 or +5; M? is a cationic element having an oxidation state of ?, wherein ? is less than b; X1 is a cluster anion having an oxidation state of (?1-?), wherein ? is 0 or 1; X2 is a halogen; 0<c?1; 0?x?1; and 0?y?2.

Abstract: A solid-state ion conductor includes a compound of Formula (I): Li4+xB7O12+0.5xX1aX21?a ??Formula (I) wherein, in Formula (I), 0?x?1; X1 is a pseudohalogen; X2 is a halogen; and 0<a?1.

Abstract: The disclosure provides a method and system for determining a lumen volume of a target blood vessel. The method may include acquiring a temporal sequence of angiography images of the target blood vessel after a contract agent is injected in the target blood vessel. The method may further include identifying a region of interest containing the target blood vessel, by a processor, in each angiography image in the temporal sequence of angiography images. The method may also include integrating, by the processor, pixel values in each region of interest, and determining the lumen volume, by the processor, based on the integrated values of the regions of interest and a predetermined correlation between the integrated values and volumes of the contrast agent.

Abstract: A solid-state ion conductor includes a compound of Formula 1: Li6+(5?a)x?b*y?z?(c+2)wA1?x(M1)ax(M2)byO5?z?wXl+zQcw ??Formula 1 wherein, in Formula 1, A is an element having an oxidation state of +5, M1 is an element having an oxidation state of a, wherein a is +2, +3, +4, +6, +7, or a combination thereof, M2 is an element having an oxidation state of b, wherein b is +1, +2, or a combination thereof, X is an element having an oxidation state of ?1, Q is an element having an oxidation state of c, wherein c is less than ?2, and wherein ?2?(5?a)x?b*y?z?(c+2)w?2, 0?x?0.5, 0?y?0.5, ?1?z?1, 0?0.

Abstract: An apparatus, method and sensor for measuring gas concentration. The apparatus includes a sensing unit and a processing unit. The sensing unit includes a first selective water vapour-permeable membrane, a first working electrode and a second working electrode. The first selective water vapour-permeable membrane allows the first working electrode to be in contact with water molecules while to prevent this first working electrode from being in contact with the gas molecules to be measured. The first working electrode generates an electrical signal caused by change in relative humidity, the second working electrode generates a superimposed electrical signal caused by the change in relative humidity and the gas molecules to be measured, and the processing unit acquires concentration of the gas based on the electrical signal and the superimposed electrical signal.