Abstract: Techniques for training a machine learning model to determine a predicted time distribution related to electronic communications are discussed herein. The machine learning model is trained based at least in part on time to open data indicative of respective time to open terms that begin at respective transmission times for electronic communications and end at respective electronic communication access event times. Additionally, based at least in part on the predicted time distribution determined by the machine learning model, respective access scores for an electronic communication being accessed via the user device at the respective times are determined to provide a new electronic communication for rendering via an electronic interface of a user device.

Abstract: A method comprises forming a single-crystal-like metal layer on a metal seed layer, the metal seed layer formed on a carrier wafer. The method comprises forming a first bonding layer on the single-crystal-like metal layer. The method also comprises forming a second bonding layer on a dielectric layer of a target substrate, the target substrate comprising one or more recording head subassemblies. The bonding layers may include diffusion layers or dielectric bonding layers. The method further comprises flipping and joining the carrier wafer with the target substrate such that the first and second diffusion layers are bonded and the single-crystal-like metal layer is integrated with the recording head as a near-field transducer.

Abstract: Techniques for integrating freshness and relevance within a programmatic relevance service are discussed herein. Some embodiments may include a relevance service system, including one or more batch processors and one or more online processors. The one or more batch processors may be configured to track message recipient behavior from electronic clickstream data, and generate models of functions that predict access probability for individual users. The one or more online processors may use the access probability calculated in batch to facilitate on demand deal ranking adjustments that account for freshness as informed by the predicted access probability for communications sent to the user.

Abstract: Disclosed are a high-entropy nitride ceramic fiber, and a preparation method and use thereof. The high-entropy ceramic fiber comprises Ti, Hf, Ta, Nb, and Mo; the high-entropy nitride ceramic fiber presents single crystal phase, and each of the elements are uniformly distributed at molecular level. The preparation method of the high-entropy ceramic fiber comprises: mixing a high-entropy ceramic precursor comprising the target metal elements, a spinning aid, and a solvent uniformly to prepare a precursor spinning solution, followed by working procedures of spinning, pyrolyzation, and nitriding to prepare the high-entropy nitride ceramic fiber. The high-entropy nitride ceramic fiber can be used in photocatalysis process of carbon dioxide to prepare methane.

Abstract: A method includes forming a single-crystal-like metal layer on a metal seed layer, the metal seed layer formed on a sacrificial wafer. An anchor layer is formed on the single-crystal-like metal layer. The single-crystal-like metal layer is separated from the sacrificial wafer via the anchor layer. The single-crystal-like metal layer is transported via the anchor layer to a target substrate having one or more recording head subassemblies. The single-crystal-like metal layer is joined with the recording head, the single-crystal-like metal layer being integrated with the recording head as a near-field transducer.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: Embodiments of the present disclosure relate to management of resources. Embodiments include receiving, from a user of a client device, first input indicating a location on a remote device and a file type. Embodiments include identifying a file corresponding to the file type at the location. Embodiments include generating a graphical representation of the file and providing the graphical representation of the file to the user. Embodiments include receiving, from the user, second input corresponding to the graphical representation of the file. Embodiments include identifying stored credentials based on the second input and initiating a virtual desktop session using the stored credentials. Embodiments include providing a remote interface to the virtual desktop session on the client device. Embodiments include launching an application within the virtual desktop session and opening the file within the application.

Abstract: A visualized surgical assembly is provided, characterized in that the visualized surgical assembly includes a disposable drainage tube and a functional tube for providing visualization function, the disposable drainage tube and the functional tube are connected detachable along the axial of the tube body, and the functional tube is provided with a self-destructive part for cutting the disposable drainage tube. A corresponding endoscope is also provided. The visualized surgical assembly is a combination structure of the disposable drainage tube and the functional tube which can provide visualization function. The disposable drainage tube can removable connect with the functional tube, and the functional tube can be repeated disinfection, which can reduce the cost and avoid the risk of cross infection.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: Embodiments of the present disclosure present and approach for automatic generation of short names for a named entity. According to the approach, a standard text segment is obtained, which indicates a full name of a named entity. At least one feature representation of the standard text segment is extracted. A plurality of variant text segments are generated based on the at least one feature representation using a generative learning network. The plurality of variant text segments indicate a plurality of short names for the named entity, the generative learning network characterizing a generation of variants for an input text segment. The plurality of variant text segments are stored in association with the standard text segment into a data repository.

Abstract: The present discussion relates to the addressing sensor drift issues in virtual flow meter applications. By way of example, in certain implementations: 1) pressure, temperature, or other sensors are prioritized based on one or more evaluation criteria, 2) a determination is made as to whether there are sensor drifts for those sensors with high priority, and 3) sensor readings experiencing drift, such as above a specified or measureable threshold, are compensated. In this manner, virtual flow meter accuracy is maintained over time.

Abstract: A method of forming a thin film structure involves performing one or more repetitions to form a template on a wafer. The repetitions include: depositing a layer of a template material to a first thickness T1; and ion beam milling the layer of the template material to remove thickness T2, where T2<T1, resulting in a layer of the template material with thickness T1?T2. The ion beam milling is performed at a channeling angle relative to a deposition plane of the wafer, the channeling angle defined relative to a channeling direction of a crystalline microstructure of the template material. After the repetitions, additional material is deposited on the template to form a final structure. The additional material has a same crystalline microstructure as the template material.

Abstract: Disclosed are various approaches for using drag-and-drop to open local files remotely. In one approach, a client device renders a user interface including a first indicium corresponding to a local file of the client device and a second indicium corresponding to a remotely executed application. A drag-and-drop action of the first indicium relative to the second indicium is detected. Responsive to the drag-and-drop action, the remotely executed application opens a copy of the local file.

Abstract: Disclosed are various approaches for recommending remotely executed applications for opening files. In one approach, an indication is received that a user desires to open the local file of a client device remotely. At least one remotely executed application is identified to open the local file remotely. A user interface is rendered by the client device that facilitates selection from among the remotely executed application(s). A user selection of a particular remotely executed application generated through the user interface is received. The particular remotely executed application opens the local file remotely.

Abstract: A thin film structure (e.g., a near-field transducer), includes a first surface parallel to a substrate on which the thin film structure is deposited and two other surfaces orthogonal to the first surface. The first surface and the two other surfaces have respective first, second, and third selected plane orientations with respective first, second, and third atomic packing factors. The first, second, and third selected plane orientations are selected to maximize an average of the first, second, and third atomic packing factors.

Abstract: Methods of forming a near field transducer (NFT), the methods including the steps of depositing plasmonic material on a substrate; laser annealing at least a portion of the deposited plasmonic material at a wavelength from 100 nm to 2.0 micrometers (?m) to induce liquid phase epitaxy (LPE) in the annealed deposited plasmonic material to form a epitaxially modified plasmonic material; and forming a NFT from at least a portion of the epitaxially modified plasmonic material are disclosed as well as other methods and devices such as those formed.

Abstract: Devices having an air bearing surface (ABS), the device including a near field transducer, the near field transducer having a peg and a disc, the peg having a region adjacent the ABS, the peg including a plasmonic material selected from gold (Au), silver (Ag), copper (Cu), ruthenium (Ru), rhodium (Rh), aluminum (Al), or combinations thereof; and at least one other secondary atom selected from germanium (Ge), tellurium (Te), aluminum (Al), antimony (Sb), tin (Sn), mercury (Hg), indium (In), zinc (Zn), iron (Fe), copper (Cu), manganese (Mn), silver (Ag), chromium (Cr), cobalt (Co), and combinations thereof, wherein a concentration of the secondary atom is higher at the region of the peg adjacent the ABS than a concentration of the secondary atom throughout the bulk of the peg. Methods of forming NFTs are also disclosed.

Abstract: Disclosed are various approaches for opening local files in remotely executed applications. In one approach, a user request is received to open a local file of a client device remotely. A remotely executed application is identified to open the local file. The client device automatically transfers the local file to a remote data store accessible to the remotely executed application. The remotely executed application opens a copy of the local file from the remote data store.

Abstract: An InP-based monolithic integrated chaotic semiconductor laser chip capable of feeding back randomly diffused light, being composed of six regions: a left DFB semiconductor laser, a bidirectional SOA, a left passive optical waveguide region, a doped passive optical waveguide region, a right passive optical waveguide region, and a right DFB semiconductor laser, specifically including: an N+ electrode layer, an N-type substrate, an InGaAsP lower confinement layer, an undoped InGaAsP multiple quantum well active region layer, doped particles, distributed feedback Bragg gratings, an InGaAsP upper confinement layer, a P-type heavily doped InP cover layer, a P-type heavily doped InGaAs contact layer, a P+ electrode layer, a light-emitting region, and isolation grooves. It effectively solves problems of bulky volume of the existing chaotic laser source, the time-delay signature of chaotic laser, narrow bandwidth, and low coupling efficiency of the light and the optical waveguide.

Abstract: A device including a near field transducer, the near field transducer including gold (Au) and at least one other secondary atom, the at least one other secondary atom selected from: boron (B), bismuth (Bi), indium (In), sulfur (S), silicon (Si), tin (Sn), hafnium (Hf), niobium (Nb), manganese (Mn), antimony (Sb), tellurium (Te), carbon (C), nitrogen (N), and oxygen (O), and combinations thereof; erbium (Er), holmium (Ho), lutetium (Lu), praseodymium (Pr), scandium (Sc), uranium (U), zinc (Zn), and combinations thereof; and barium (Ba), chlorine (Cl), cesium (Cs), dysprosium (Dy), europium (Eu), fluorine (F), gadolinium (Gd), germanium (Ge), hydrogen (H), iodine (I), osmium (Os), phosphorus (P), rubidium (Rb), rhenium (Re), selenium (Se), samarium (Sm), terbium (Tb), thallium (Th), and combinations thereof.