Abstract: A crystal device includes a bearing base, an integrated chip and a conductive adhesive unit. The bearing base includes a conductive seat. The integrated chip includes a principal reference plane facing the conductive seat, and having a first major axis. The conductive adhesive unit has a second major axis and an aspect ratio, and is at least partly disposed between the conductive seat and the integrated chip. The aspect ratio ranges from 1.1 to 1.9. The principal reference plane further has a perpendicular projection straight line defined according to the second major axis. A practical angle is included by the first perpendicular projection straight line and the first major axis, and ranges from 0 degree to 90 degrees.

Abstract: Provided is a photovoltaic solar cell, a solar cell module and a manufacturing process. The photovoltaic solar cell includes a silicon substrate, and a passivation layer located on at least one surface of the silicon substrate. An electrode, an electrode pad and an extension line are printed on at least one surface of the silicon substrate. The electrode includes a busbar and a finger crossed with each other, and the finger is in contact with the silicon substrate. Two ends of the extension line are respectively connected to the busbar and the electrode pad, and the extension line is in contact with the silicon substrate.

Abstract: Multiple-patterning techniques described herein enable forming fin structures of a semiconductor device in a manner that enables decreased fin-to-fin spacing of the fin structures while providing precise control over etching depth of the fin structures. In some implementations, an etch operation is performed to form a pattern in one or more mask layers that is used to etch a substrate to form the fin structures. The etch operation includes an advanced pulsing technique, in which a high-frequency radio frequency (RF) source and a low-frequency RF source are pulsed. Pulsing the high-frequency RF source and the low-frequency RF source in the etch operation reduces consumption of a thickness of the one or more mask layers which increases the aspect ratio of the pattern. This enables deeper etching of the substrate when forming the fin structures, which reduces the likelihood of under etching.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a first fin structure and a second fin structure over a semiconductor substrate and a first epitaxial structure over the first fin structure. The semiconductor device structure also includes a second epitaxial structure over the second fin structure. The semiconductor device structure further includes a dielectric fin over the semiconductor substrate. The dielectric fin is between the first fin structure and the second fin structure. The dielectric fin has an inner portion and a protective layer. The protective layer extends along sidewalls and a bottom of the inner portion, and the protective layer has a dielectric constant higher than that of the inner portion.

Abstract: A vehicular image pickup device includes an image capturing unit and a processing unit. The image capturing unit captures a plurality of driving images sequentially. The driving images each include an object image. The processing unit performs an image analysis on two of the plurality of driving images to obtain a variance of the object image and sets a shutter speed of the image capturing unit according to the variance.

Abstract: Provided are a solar cell, a manufacturing method thereof, and a photovoltaic module. The solar cell includes: a semiconductor substrate, in which a rear surface of the semiconductor substrate having a first texture structure, the first texture structure includes two or more first substructures at least partially stacked on one another, and in a direction away from the rear surface and perpendicular to the rear surface, a distance between a top surface of an outermost first substructure and a top surface of an adjacent first substructure being less than or equal to 2 ?m; a first passivation layer located on a front surface of the semiconductor substrate; a tunnel oxide layer located on the first texture structure; a doped conductive layer located on a surface of the tunnel oxide layer; and a second passivation layer located on a surface of the doped conductive layer.

Abstract: Embodiments described herein relate to a method for patterning a doping layer, such as a lanthanum containing layer, used to dope a high-k dielectric layer in a gate stack of a FinFET device for threshold voltage tuning. A blocking layer may be formed between the doping layer and a hard mask layer used to pattern the doping layer. In an embodiment, the blocking layer may include or be aluminum oxide (AlOx). The blocking layer can prevent elements from the hard mask layer from diffusing into the doping layer, and thus, can improve reliability of the devices formed. The blocking layer can also improve a patterning process by reducing patterning induced defects.

Abstract: A structure and formation method of a semiconductor device is provided. The semiconductor device structure includes an epitaxial structure over a semiconductor substrate. The semiconductor device structure also includes a dielectric fin over the semiconductor substrate. The dielectric fin extends upwards to exceed a bottom surface of the epitaxial structure. The dielectric fin has a dielectric structure and a protective shell, and the protective shell extends along sidewalls and a bottom of the dielectric structure. The protective shell has a first average grain size, and the dielectric structure has a second average grain size. The first average grain size is larger than the second average grain size.

Abstract: An artificial neural network-based method for selecting a surface type of an object includes receiving at least one object image, performing surface type identification on each of the at least one object image by using a first predictive model to categorize the object image to one of a first normal group and a first abnormal group, and performing surface type identification on each output image in the first normal group by using a second predictive model to categorize the output image to one of a second normal group and a second abnormal group.

Abstract: A paste and a damp-heat (DH) attenuation resistant photovoltaic cell. The paste comprises a paste body, into which an inert metal element and an oxide thereof are added, so that a barrier layer having a certain thickness can be formed on the surface of an electrode after sintering, and the barrier layer can resist oxidation and corrosion so as to enhance the oxidation resistance and the acid corrosion resistance of the metallized electrode. The electrode of the photovoltaic cell is made of the paste, and the DH attenuation resistant photovoltaic cell made of the paste can reduce DH attenuation and power loss, and has the enhanced environmental protection property and reliability.

Abstract: In a method of manufacturing a semiconductor device, sacrificial patterns are formed over a hard mask layer disposed over a substrate, sidewall patterns are formed on sidewalls of the sacrificial patterns, the sacrificial patterns are removed, thereby leaving the sidewall patterns as first hard mask patterns, the hard mask layer is patterned by using the first hard mask patters as an etching mask, thereby forming second hard mask patterns, and the substrate is patterned by using the second hard mask patterns as an etching mask, thereby forming fin structures. Each of the first sacrificial patterns has a tapered shape having a top smaller than a bottom.

Abstract: Digital content view control is described as leveraging a hierarchical structure of objects defined within the digital content to control how those objects are rendered in a user interface. In one example, a user input is received to display a view of objects within digital content displayed in a user interface. In response, a data query module is configured to fetch data describing a hierarchical structure of the digital content. From this, a z-order determination module determines a z-order of objects included with the digital content. An object view generation module is also configured to generate object views depicting the objects included in the digital content. The object views, once rendered, support an ability to view positioning of objects within the hierarchy.

Abstract: Disclosed is a barrier-type photovoltaic solder strip capable of reducing damp-heat (DH) attenuation, the photovoltaic solder strip comprising a photovoltaic solder strip body. A moisture barrier layer is arranged on a surface of the photovoltaic solder strip body that is not in contact with an electrode of a solar cell, and the moisture barrier layer can prevent external water and gas from entering the photovoltaic solder strip body, thus, on the basis of low cost, corrosion of the photovoltaic solder strip body by acidic substances, oxidizing agents and water in a module is reduced, thereby reducing attenuation of a photovoltaic module in a DH environment.

Abstract: A graft polymer is provided, which includes a polymer backbone with a plurality of hydroxy groups, protection group modified histidine grafted onto the side of the polymer backbone, and hydrophilic polymer having terminal reactive group grafted onto the side of the polymer backbone. The graft polymer coating can be applied to metal material to form a composite material, which can be implanted into an organism to reduce adhesion problems.

Abstract: An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.

Abstract: Provided are a solar cell, a manufacturing method thereof, and a photovoltaic module. The solar cell includes: a semiconductor substrate, in which a rear surface of the semiconductor substrate having a first texture structure, the first texture structure includes two or more first substructures at least partially stacked on one another, and a one-dimensional size of the top surface of the outermost first substructure is less than or equal to 45 ?m; a first passivation layer located on a front surface of the semiconductor substrate; a tunnel oxide layer located on the first texture structure; a doped conductive layer located on a surface of the tunnel oxide layer, the doped conductive layer includes a P-type doped conductive layer and an N-type doped conductive layer; and a second passivation layer located on a surface of the doped conductive layer.

Abstract: An artificial neural network-based method for detecting a surface type of an object includes: receiving a plurality of object images, wherein a plurality of spectra of the plurality of object images are different from one another and each of the object images has one of the spectra; transforming each object image into a matrix, wherein the matrix has a channel value that represents the spectrum of the corresponding object image; and executing a deep learning program by using the matrices to build a predictive model for identifying a target surface type of the object. Accordingly, the speed of identifying the target surface type of the object is increased, further improving the product yield of the object.

Abstract: An artificial neural network-based method for selecting a surface type of an object is suitable for selecting a plurality of objects. The artificial neural network-based method for selecting a surface type of an object includes performing surface type identification on a plurality of object images by using a plurality of predictive models to obtain a prediction defect rate of each of the predictive models, wherein the object images correspond to surface types of a part of the objects, and cascading the predictive models according to the respective prediction defect rates of the predictive models into an artificial neural network so as to select the remaining objects.

Abstract: The present invention provides a system and method for analysis of integrated circuit testing anomalies based on deep learning. Through repeated training by deep learning with historical test data accumulated during testing, automatic optimization of parameter settings depending on learning and training conditions is made possible. Moreover, based on real-time test data, testing anomalies can be predicted and early warnings against them can be provided to allow advanced intervention for preventing their occurrence. Additionally, for testing anomalies that have occurred, solutions can be automatically identified and provided, which shorten the times taken by different technicians to address the anomalies, resulting in more effective utilization of the equipment and lower testing cost.

Abstract: The present disclosure discloses a human body simulation model, a fitting device, a fitting server, and a control method. The human body simulation model includes: a human body model; a photodeformable shaping garment; a plurality of excitation light sources; a plurality of elastic elements; and a first controller configured to control at least a part of the plurality of excitation light sources to emit light waves to the photodeformable shaping garment according to body shape parameters of a user received, so that the photodeformable shaping garment is deformed to simulate a body shape of the user.