Abstract: A plurality of holes are formed extending vertically in a first dielectric deck that includes interleaved a plurality of first sacrificial layers and a plurality of first dielectric layers over a substrate. A plurality of sacrificial structures are formed in the holes. A second dielectric deck is formed having interleaved a plurality of second sacrificial layers and a plurality of second dielectric layers over the first dielectric deck. A slit opening is formed extending in the second dielectric deck, the slit opening aligned with and over the sacrificial source contact structures. The sacrificial structures are removed through the slit openings such that the slit opening is in contact with the holes to form a slit structure. A plurality of conductor layers are formed in the first and second dielectric decks through the slit structure, forming a memory stack. A source contact structure is formed in the slit structure.

Abstract: Coronavirus Disease 2019 (COVID-19) remains a threat with the emergence of new variants, especially Delta and Omicron, without specific effective therapeutic drugs. The present invention provides a method and a composition for preventing and treating COVID-19 (SARS-CoV-2) coronavirus infection which includes administering to a subject in need thereof one or more therapeutically effective doses of Virofree which comprises a pharmaceutically acceptable combination of grape seed extract, acerola cherry extract, olive leaf extract, marigold extract, green tea extract, pomegranate extract, yeast beta-glucan and soya bean extract for a treatment period.

Abstract: Embodiments of structure and methods for forming a memory device are provided. In an example, a memory device includes a substrate, a stack above the substrate, a channel structure, and a source contact structure each extending vertically through the memory stack. The source contact structure includes (i) a plurality of first source contact portions each extending vertically and laterally separated from one another and (ii) a second source contact portion extending vertically over and in contact with the plurality of first source contact portions, the second source contact portion being laterally continuous.

Abstract: The invention provides a bioactive substance composition, a serum-free medium comprising the composition and the uses thereof. The bioactive substance composition is used for serum-free medium and/or composition and the preparation thereof; The serum-free medium and/or composition can be used for primary culture and secondary culture of cells and/or tissues. The cells are selected from any one or more of tendon and/or ligament derived cells, chondrocytes, meniscus stem cells, mesenchymal stem cells, skeleton stem cells, and muscle stem cells. The tissue is the musculoskeletal system tissue. The bioactive substance composition and/or serum-free medium and/or the composition can be used to prepare drugs for tissue and/or organ injury treatment; The tissue or organ injury is selected from the tissue or organ injury of the musculoskeletal system.

Abstract: The present application describes a system and method for converting a natural language query to a standard query using a sequence-to-sequence neural network. As described herein, when a natural language query is receive, the natural language query is converted to a standard query using a sequence-to-sequence model. In some cases, the sequence-to-sequence model is associated with an attention layer. A search using the standard query is performed and various documents may be returned. The documents that result from the search are scored based, at least in part, on a determined conditional entropy of the document. The conditional entropy is determined using the natural language query and the document.

Abstract: A plurality of holes are formed extending vertically in a first dielectric deck that includes interleaved a plurality of first sacrificial layers and a plurality of first dielectric layers over a substrate. A plurality of sacrificial structures are formed in the holes. A second dielectric deck is formed having interleaved a plurality of second sacrificial layers and a plurality of second dielectric layers over the first dielectric deck. A slit opening is formed extending in the second dielectric deck, the slit opening aligned with and over the sacrificial source contact structures. The sacrificial structures are removed through the slit openings such that the slit opening is in contact with the holes to form a slit structure. A plurality of conductor layers are formed in the first and second dielectric decks through the slit structure, forming a memory stack. A source contact structure is formed in the slit structure.

Abstract: Embodiments of structure and methods for forming a memory device are provided. In an example, a memory device includes a substrate, a stack above the substrate, a channel structure, and a source contact structure each extending vertically through the memory stack. The source contact structure includes (i) a plurality of first source contact portions each extending vertically and laterally separated from one another and (ii) a second source contact portion extending vertically over and in contact with the plurality of first source contact portions, the second source contact portion being laterally continuous.

Abstract: The present application describes a system and method for converting a natural language query to a standard query using a sequence-to-sequence neural network. As described herein, when a natural language query is receive, the natural language query is converted to a standard query using a sequence-to-sequence model. In some cases, the sequence-to-sequence model is associated with an attention layer. A search using the standard query is performed and various documents may be returned. The documents that result from the search are scored based, at least in part, on a determined conditional entropy of the document. The conditional entropy is determined using the natural language query and the document.

Abstract: The present application describes a system and method for converting a natural language query to a standard query using a sequence-to-sequence neural network. As described herein, when a natural language query is receive, the natural language query is converted to a standard query using a sequence-to-sequence model. In some cases, the sequence-to-sequence model is associated with an attention layer. A search using the standard query is performed and various documents may be returned. The documents that result from the search are scored based, at least in part, on a determined conditional entropy of the document. The conditional entropy is determined using the natural language query and the document.

Abstract: A method of forming a package includes providing a die, which includes a substrate having a circuit, a first passivation layer on the substrate, a plurality of pads on the first passivation layer, and a second passivation layer disposed on the first passivation layer and covering the plurality of pads. The method also includes forming one or more trenches by etching the second passivation layer that overlies a portion of the first passivation layer on the outside of the plurality of pads, and forming an organic polymer overlying the die after the one or more trenches are formed, thereby forming the package.

Abstract: An antifuse structure includes an active area and a gate electrode over the active area. The active area includes a first body portion and a first extending portion extending in a first direction. The gate electrode includes a second body portion and a second extending portion extending in a second direction perpendicular to the first direction. The first body portion includes a first surface facing a portion of the second body portion, and the second body portion includes a second surface facing a portion of the first extending portion. The first extending portion and the second extending portion are partially overlapped in a third direction perpendicular to both the first direction and the second direction, with a dielectric layer sandwiched between the first and second extending portions, forming an intersection area.

Abstract: An antifuse structure includes an active area and a gate electrode over the active area. The active area includes a first body portion and a first extending portion extending in a first direction. The gate electrode includes a second body portion and a second extending portion extending in a second direction perpendicular to the first direction. The first body portion includes a first surface facing a portion of the second body portion, and the second body portion includes a second surface facing a portion of the first extending portion. The first extending portion and the second extending portion are partially overlapped in a third direction perpendicular to both the first direction and the second direction, with a dielectric layer sandwiched between the first and second extending portions, forming an intersection area.

Abstract: A technique of scoring a query against a document using sequence to sequence neural networks. The technique comprises: receiving a query comprising a plurality of words from a user; performing a search for a document comprising words based on the query; feeding the words of the document as the input of an encoder of a multilayer sequence to sequence converter; generating a plurality of vectors at a decoder of the multilayer sequence to sequence converter, each vector comprising a probability associated with a respective word in the query; looking up in the respective vector each word's probability of being associated with the document; multiplying every word's probability together to determine an overall probability of the query being associated with the document; and returning the document to the user if the overall probability of the query being associated with the document is greater than a threshold value.

Abstract: A technique of scoring a query against a document using sequence to sequence neural networks. The technique comprises: receiving a query comprising a plurality of words from a user; performing a search for a document comprising words based on the query; feeding the words of the document as the input of an encoder of a multilayer sequence to sequence converter; generating a plurality of vectors at a decoder of the multilayer sequence to sequence converter, each vector comprising a probability associated with a respective word in the query; looking up in the respective vector each word's probability of being associated with the document; multiplying every word's probability together to determine an overall probability of the query being associated with the document; and returning the document to the user if the overall probability of the query being associated with the document is greater than a threshold value.

Abstract: The present application describes a system and method for converting a natural language query to a standard query using a sequence-to-sequence neural network. As described herein, when a natural language query is receive, the natural language query is converted to a standard query using a sequence-to-sequence model. In some cases, the sequence-to-sequence model is associated with an attention layer. A search using the standard query is performed and various documents may be returned. The documents that result from the search are scored based, at least in part, on a determined conditional entropy of the document. The conditional entropy is determined using the natural language query and the document.

Abstract: Methods and a system are provided. A method includes extracting subsequences from a sequence of a customer journey that includes customer interactions on different channels at different times on different topics. The method further includes measuring an effectiveness of each of the subsequences based on journey success data, by applying a statistical hypothesis testing approach. The method also includes determining a contribution of each of the customer interactions for a given one of the subsequences, by applying a sequence-based journey attribution model.

Abstract: A method of forming a package includes providing a die, which includes a substrate having a circuit, a first passivation layer on the substrate, a plurality of pads on the first passivation layer, and a second passivation layer disposed on the first passivation layer and covering the plurality of pads. The method also includes forming one or more trenches by etching the second passivation layer that overlies a portion of the first passivation layer on the outside of the plurality of pads, and forming an organic polymer overlying the die after the one or more trenches are formed, thereby forming the package.