Abstract: A field effect transistor includes a substrate comprising a fin structure. The field effect transistor further includes an isolation structure in the substrate. The field effect transistor further includes a source/drain (S/D) recess cavity below a top surface of the substrate. The S/D recess cavity is between the fin structure and the isolation structure. The field effect transistor further includes a strained structure in the S/D recess cavity. The strain structure includes a lower portion. The lower portion includes a first strained layer, wherein the first strained layer is in direct contact with the isolation structure, and a dielectric layer, wherein the dielectric layer is in direct contact with the substrate, and the first strained layer is in direct contact with the dielectric layer. The strained structure further includes an upper portion comprising a second strained layer overlying the first strained layer.

Abstract: A three-level converter includes a high-voltage side unit, a low-voltage side unit, a flying capacitor, a first switch to a fourth switch, and a control unit. When a voltage of the flying capacitor falls outside a safe target voltage range, the control unit may control the third switch and the fourth switch to be normally open, and control, based on the voltage of the flying capacitor and a voltage of the low-voltage side unit, each of the first switch and the second switch to be turned on or off, so that the voltage of the flying capacitor falls within the target voltage range. Alternatively, the control unit may control the first switch and the second switch to be normally open, and control, based on the voltage of the flying capacitor and a voltage of the low-voltage side unit.

Abstract: Methods and systems for budgeted and simplified training of deep neural networks (DNNs) are disclosed. In one example, a trainer is to train a DNN using a plurality of training sub-images derived from a down-sampled training image. A tester is to test the trained DNN using a plurality of testing sub-images derived from a down-sampled testing image. In another example, in a recurrent deep Q-network (RDQN) having a local attention mechanism located between a convolutional neural network (CNN) and a long-short time memory (LSTM), a plurality of feature maps are generated by the CNN from an input image. Hard-attention is applied by the local attention mechanism to the generated plurality of feature maps by selecting a subset of the generated feature maps. Soft attention is applied by the local attention mechanism to the selected subset of generated feature maps by providing weights to the selected subset of generated feature maps in obtaining weighted feature maps.

Abstract: A transparent article is described herein that includes: a glass-ceramic substrate comprising first and second primary surfaces opposing one another and a crystallinity of at least 40% by weight; and an optical film structure disposed on the first primary surface. The optical film structure comprises a plurality of alternating high refractive index (RI) and low RI layers and a scratch-resistant layer. The article also exhibits an average photopic transmittance of greater than 80% and a maximum hardness of greater than 10 GPa, as measured by a Berkovich Hardness Test over an indentation depth range from about 100 nm to about 500 nm. The glass-ceramic substrate comprises an elastic modulus of greater than 85 GPa and a fracture toughness of greater than 0.8 MPa·?m. Further, the optical film structure exhibits a residual compressive stress of ?700 MPa and an elastic modulus of ?140 GPa.

Abstract: An array substrate and a display panel. The array substrate includes a thin film transistor array layer including a driving transistor, a switching transistor, and a capacitor. The driving transistor includes a first active layer, a first gate insulating layer, a first gate, and an insulating dielectric layer sequentially stacked. The switching transistor includes a second active layer, a second gate insulating layer, and a second gate sequentially stacked. The insulating dielectric layer and the second gate insulating layer are located at a same layer. A thickness of the first gate insulating layer is greater than a thickness of the second gate insulating layer. The capacitor includes a first electrode plate and a second electrode plate. The first electrode plate and the first gate are disposed on same layer, and the second electrode plate and the second gate are disposed on same layer.

Abstract: A power system includes N direct current coupling units, N direct current buses, and a main controller. The main controller is configured to: obtain a total network input demand power (a network input power required by the power grid); obtain first amplitude limiting values (indicate a maximum discharging power that can be supplied by each energy unit to the power grid); and determine first network input power values (a power value allocated to each energy unit and that is input to the power grid, and at least one direct current coupling unit is in a first amplitude limiting state) based on the total network input demand power and the first amplitude limiting values, and the first amplitude limiting state is that a first network input power value of direct current coupling unit is equal to a first amplitude limiting value corresponding to the direct current coupling unit.

Abstract: A genomic data analyzer system method to analyze next generation sequencing genomic data from a sourcing laboratory. The method includes receiving, with a processor, a next generation sequencing analysis request from a sourcing laboratory, the next generation sequencing request comprising at least a raw next generation sequencing data file and the sourcing laboratory identification; identifying, with a processor, a first set of characteristics associated with the next generation sequencing analysis request, the first set of characteristics comprising at least a target enrichment technology identifier, a sequencing technology identifier, and a genomic context identifier; configuring, with a processor, a data alignment module to align the input raw sequencing data file in accordance with at least one characteristic of said first set of characteristics; and aligning, with the data alignment module processor, the input sequencing data to a genomic sequence.

Abstract: A full-face shaft tunnel boring machine system includes a tunnel boring machine cutterhead device for tunneling downwards in a shaft; a full-hydraulic formwork device for supporting and walling in a wellbore; and an upper muck-discharge system for vertically conveying rock mucks generated by tunneling. The tunnel boring machine cutterhead device comprises a vertical guide frame, a cutter-expanded boring head and an advanced cutterhead that are fixedly connected in a vertical order from top to bottom so as to form an integrated structure. The vertical guide frame is a hollow cylindrical structure and driven to rotate around an axis of the vertical guide frame by a power mechanism, and an outer wall of the vertical guide frame is provided with multiple sets of first guide rollers.

Abstract: Embodiments disclosed herein include package substrates. In an embodiment, the package substrate comprises a core, where the core comprises glass. In an embodiment, a first layer is under the core, a second layer is over the core, and a via is through the core, the first layer, and the second layer. In an embodiment a width of the via through the core is equal to a width of the via through the first layer and the second layer. In an embodiment, the package substrate further comprises a first pad under the via, and a second pad over the via.

Abstract: The disclosure discloses a photographic optical system, sequentially includes from an object side to an image side along an optical axis: a first lens, a second lens, a third lens, a fourth lens, a fifth lens and a sixth lens. Wherein the first lens has a positive refractive power, an object-side surface thereof is a convex surface, an image-side surface is a concave surface. The second lens has a negative refractive power, an object-side surface thereof is a convex surface, an image-side surface is a concave surface. The sixth lens has a negative refractive power. TTL is a distance from the object-side surface of the first lens to an imaging surface of the photographic optical system on the optical axis and ImgH is a half the diagonal length of an effective pixel area on the imaging surface of the photographic optical system, and TTL and ImgH satisfy TTL/ImgH<1.5.

Abstract: A lipid delivery system, a virus-like structure (VLS) vaccine constructed therefrom, and a lipid particle capable of encapsulating an mRNA molecule encoding a SARS-CoV-2-specific antigen are provided. After the lipid particle encapsulates an mRNA molecule encoding a SARS-CoV-2 antigen, a SARS-CoV-2 S1 antigen protein can be embedded on a surface of an envelope structure of the lipid under specific buffer conditions to produce a VLS vaccine with an antigen-encoding mRNA molecule encapsulated inside and an outer membrane presenting a required viral antigen protein. The vaccine has a superior specific antibody-inducing ability to a SARS-CoV-2 mRNA vaccine and a polypeptide vaccine, can maintain a long-lasting high antibody level, and can also exhibit excellent immune binding abilities for the emerging different variants.

Abstract: An apparatus and method are described for reducing the parameter density of a deep neural network (DNN). A layer-wise pruning module to prune a specified set of parameters from each layer of a reference dense neural network model to generate a second neural network model having a relatively higher sparsity rate than the reference neural network model; a retraining module to retrain the second neural network model in accordance with a set of training data to generate a retrained second neural network model; and the retraining module to output the retrained second neural network model as a final neural network model if a target sparsity rate has been reached or to provide the retrained second neural network model to the layer-wise pruning model for additional pruning if the target sparsity rate has not been reached.

Abstract: A distributed multi-terminal and multi-network supporting system for an Android online game App includes an online game server, an Android online game App distributed video and remote control server, and an Android online game video and remote control mode client. The online game server is configured to store Android online game account information and game information of a user. The Android online game App distributed video and remote control server establishes network communication with the online game server, and the Android online game video and remote control mode client, respectively. The Android online game App distributed video and remote control server includes an enhanced ARM CPU version Android OS, an enhanced multi-instance ARM Linux Docker container, a host server, and an enhanced ARM CPU version Linux. A distributed multi-terminal and multi-network supporting method for an Android online game App based on the distributed multi-terminal and multi-network supporting system is provided.

Abstract: An ethylene copolymer and a method for preparing same, and a composition, crosslinked polymer, and tire containing said ethylene copolymer are provided. The ethylene copolymer contains an ethylene structural unit derived from ethylene and a conjugated diene structural unit derived from a conjugated diene. Taking the total amount of said ethylene copolymer as the reference, the content of said conjugated diene structural unit is 25-45 mol %. The conjugated diene is formed by 1,2-polymerization and the content of 1,2-polymeric vinyl structural units having side chain double bonds is 20-40 mol %. Taking the total number of conjugated diene structural units in the ethylene copolymer as the reference. The total amount of said 1,2-polymeric structural units is 95 mol % or more, and the ethylene copolymer has a weight average molecular weight of 20,000 to 300,000.

Abstract: A bionic sweat gland and a bionic skin include a shell and a porous medium. A heat dissipation pipe is arranged inside the shell, that is filled with porous media. The pores formed by the porous medium in the heat dissipation pipe gradually decrease along the evaporation flow direction and the gap of the porous medium is filled with evaporation liquid. The shell is a permeable structure, which is used to absorb evaporation liquid from the environment. The top of the shell is provided with a number of through holes connected with the heat dissipation pipe for discharging evaporation liquid to the outside. The bionic sweat gland and the bionic skin can adapt to the effect of tensile and shear forces generated on the surface of flexible materials such as electronic skin during use.

Abstract: A liquid butadiene-styrene polymer, a preparation method for same and an application of same, as well as a composition, a polymer coating, an adhesive and a cross-linking agent containing the same are provided. When the total weight of the liquid butadiene-styrene polymer is taken as a reference, in the liquid butadiene-styrene polymer, the content of a styrene structural unit is 15-30 wt %, the content of a butadiene structural unit is 70-85 wt %, and the content of a 1,2-structural unit is 60-80 wt %; when the total weight of the 1,2-structural unit in the liquid butadiene-styrene polymer is taken as a reference, the content of a cyclized 1,2-structural unit is 20-60 wt %. A coating formed by the liquid butadiene-styrene polymer not only has high peel strength for a substrate, but also has improved thermal expansion performance.

Abstract: A method for forming a component for a plasma processing chamber is provided. An internal mold is provided. An external mold is provided around the internal mold. The external mold is filled with a ceramic powder, wherein the ceramic powder surrounds the internal mold. The ceramic powder is sintered to form a solid part. The solid part is removed from the external mold.

Abstract: A copy of a model comprising a plurality of trees is received, as is a copy of training set data comprising a plurality of training set examples. For each tree included in the plurality of trees, the training set data is used to determine which training set examples are classified as a given leaf. A blame forest is generated at least in part by mapping each training set item to the respective leaves at which it arrives.

Abstract: Methods and systems for budgeted and simplified training of deep neural networks (DNNs) are disclosed. In one example, a trainer is to train a DNN using a plurality of training sub-images derived from a down-sampled training image. A tester is to test the trained DNN using a plurality of testing sub-images derived from a down-sampled testing image. In another example, in a recurrent deep Q-network (RDQN) having a local attention mechanism located between a convolutional neural network (CNN) and a long-short time memory (LSTM), a plurality of feature maps are generated by the CNN from an input image. Hard-attention is applied by the local attention mechanism to the generated plurality of feature maps by selecting a subset of the generated feature maps. Soft attention is applied by the local attention mechanism to the selected subset of generated feature maps by providing weights to the selected subset of generated feature maps in obtaining weighted feature maps.

Abstract: Described herein are methods for treating depression and/or preventing a relapse in depression in a patient, comprising: administering to the patient a first dose comprising 9-[4-(Cyclohexyloxy)phenyl]-7-methyl-3,4-dihydropyrazino[2, 1-c][1,2,4]thiadiazine 2,2-dioxide (“COMPOUND A” or “CMPD A”) or a salt thereof; and administering to the patient at least one daily maintenance dose comprising COMPOUND A or a salt thereof, wherein the at least one daily maintenance dose is less than the first dose.