Abstract: Disclosed are thyclotides, which are oligomers, each comprising (a) from about 8 to about 25 monomer units of formula (I) and (b) from 0 to about 24 monomer units of formula (II): wherein B is a nucleobase, which can be the same or different at each occurrence, or a pharmaceutically acceptable salt thereof. The thyclotides are soluble in water, bind strongly to complementary DNA and RNA, and are cell permeable. The thyclotides are useful as reagents for antisense and antigene applications, and as probes in molecular diagnostics and microarrays.

Abstract: Compounds useful as components of immunogenic compositions for the induction of an immunogenic response in a subject against viral infection, methods for their use in treatment, and processes for their manufacture are provided herein. The compounds comprise a nucleic acid construct comprising a sequence which encodes a Zika virus antigen.

Abstract: Mosquito species cause severe and debilitating illnesses. Despite significant advances in clinical medicine, no specific drugs or vaccines are available for diagnosis, treatment, and management of majority of mosquito-borne illnesses. A method and system for evaluating and reducing the degree of mosquito attractiveness of an individual is provided. The methodology involves computation of a metric based on analysis of the host’s skin microbial profile and is thus expected to estimate individualized attractiveness profiles. A specific set of bacterial species contributing to skin attractiveness for mosquitoes have been identified and relative abundances of the bacterial species in the identified set have been custom engineered to generate novel features. These features have been utilized for computing an index referred to as a ‘Mosquito Attractiveness Quotient (MAQ)’ that quantifies or measures the degree of mosquito-attractiveness of individual.

Abstract: Disclosed herein are system, method, and device embodiments for implementing password suggestion. An embodiment operates by selecting one or more random terms from dictionary information, generating an alphanumeric string based on a password requirement, combining the one or more random terms and the alphanumeric string to form a generated password, determining a password strength of the generated password based on compromised password information, and presenting the generated password for selection by a user device when the password strength meets or exceeds a threshold value.

Abstract: A breakable capsule such as a seamless breakable capsule useful in a smoking article or a smokeless tobacco product includes an outer shell formed of a cross-linked agar matrix including at least one filler, and an inner core surrounded by the outer shell which comprises a liquid or gel based composition of a flavorant and/or non-flavorant. The cross-linked agar matrix is reinforced with carboxymethyl cellulose that is dispersed throughout the agar matrix so as to fill empty spaces in the agar matrix and inhibit the composition from passing through the empty spaces of the agar matrix.

Abstract: Methods and systems are described herein for updating cybersecurity enforcement rules in real-time over disparate computer networks. A rule enforcement system may receive a real-time data stream. The real-time data stream may include real-time communications requiring cybersecurity verification. Real-time data communications are processed through a first rule repository. In response to determining that rule updates to rules within the first rule repository are available, a second rule repository is retrieved and brought online. Previously received real-time communication data is processed with the first rule repository and new real-time communication data is routed to the second rule repository. When previously received real-time communication data has been processed, the first rule repository is disabled.

Abstract: Expanded graphite and/or vermiculite are introduced into the friction lining mixture to eliminate or substantially reduce the amount of binder present therein. The friction lining at most contains from 2.5% by weight of binder. By omitting/reducing binder, the production is very stable and the friction linings can be easily reproduced. The process steps of hardening (including the hardening furnace) and scorching (including the necessary equipment) can be omitted when making such friction linings.

Abstract: Techniques are described for automatically extracting items from a user's browse history on one or more e-commerce websites, and automatically searching other e-commerce websites and sources for offers (including coupons, deals, and/or promotions) for those items and/or related items and/or stores. Such automated techniques allow users to gain the benefit of online offers from various sources, without having to go through the effort of manually searching for such offers. Instead, the system and method automatically locate such offers based on the user's browse history, without requiring any action to be taken on the part of the user.

Abstract: Compositions that selectively bind to coronaviruses, including but not limited to SARS-COV-2 and methods of use thereof are provided. The disclosed antibodies and antigen-binding fragments were developed against SARS-CoV-2. The antibodies bind to the spike protein of coronaviruses. The disclosed antibodies are useful for diagnosing, detecting, preventing, and treating coronavirus infections.

Abstract: Methods for treating a subject with cancer, including administering to the subject an effective amount of an inhibitor of DNAse1L3 and an effective amount of radiation therapy are provided. In some examples, the methods involve enhancing or inducing response of tumor-associated immune cells in the subject, including administering to the subject an effective amount of radiation therapy, and administering to the subject an effective amount of an inhibitor of DNAse1L3, thereby enhancing or inducing the response of tumor-associated immune cells in the subject. In some examples, the tumor-associated immune cells comprise dendritic cells or macrophages.

Abstract: A method for correcting borehole images may include acquiring a raw data image of a formation using a downhole tool that takes one or more measurements and processing the raw data image through a machine learning model to form a corrected image. The method may further include displaying the corrected image and identifying one or more formation properties based at least in part on the corrected image.

Abstract: The subject disclosure relates to techniques for correcting logging depth of a well bore. A process of the disclosed technology can include receiving a first sensor measurement from a first sensor disposed in a wellbore, receiving a second sensor measurement from a second sensor disposed in the wellbore, wherein the first sensor and the second sensor are disposed on a wireline with a predetermined distance between the first sensor and the second sensor, generating a correlation function based on the first sensor measurement and the second measurement, and determining, based on the correlation function, whether the measurements indicate a perceived distance between the first sensor and the second sensor deviating from the predetermined distance.

Abstract: A method and system for estimating a wellbore curvature. The method may include disposing a rotary steerable system (RSS) into a borehole, storing a real-time curvature estimation for the borehole in an information handling system, wherein the information handling system is disposed on the RSS, taking a first attitude measurement at a first sensor, and taking a second attitude measurement at a second sensor. The method may further include applying a filter to at least the first attitude measurement and the second attitude measurement to form a filtered measurement set, performing a curvature estimation with the filtered measurement set to form an estimated curvature signal, comparing the estimated curvature signal to a curvature set point to find a difference, and adjusting at least one operating parameter of the RSS based on the difference.

Abstract: A method for distributed acoustic sensing includes sending a first optical pulse down an optical fiber, wherein light from the first optical pulse is backscattered from positions along a length of the optical fiber according to coherent Rayleigh scattering; splitting backscattered light from the first optical pulse into a first portion for a first interferometer and a second portion for a second interferometer, the first interferometer having a first gauge length and the second interferometer having a second gauge length, wherein the first gauge length is different from the second gauge length; detecting a first interferometric signal from the first interferometer responsive to the first portion of backscattered light; detecting a second interferometric signal from the first interferometer responsive to the second portion of backscattered light; and processing the first and second interferometric signals for two different sensing applications adapted for the first and second gauge lengths, respectively.

Abstract: Disclosed herein are system, method, and computer program product embodiments for machine learning systems to predict real-time productivity changes based on prospective scheduling. A productivity predictive model is trained by a machine learning engine with meeting and productivity training data, wherein the productivity predictive model includes one or more algorithms to select a future productivity change based on a future schedule. The system receives a current schedule and current productivity measurements of a user, receives a scheduling request for the user, predicts a future productivity change and displays a graphic to a user revealing the future productivity change of the user based on accepting the scheduling request.

Abstract: Disclosed herein are system, method, and computer program product embodiments for executing automatic internet browsing sessions using pseudo-user profiles. In some embodiments, a plug-in integrated by a browser receives a request to execute an automated browsing session for the user profile. The plug-in retrieves a set of parameters associated with the user profile. The set of parameters comprise one or more rules for executing an automated browsing session. The plug-in executes the automated browsing session by automatically navigating to one or more websites, as indicated in the set of parameters. The plug-in interacts with the one or more websites based on the set of parameters.

Abstract: A grid power configuration may provide a reliable, efficient, inexpensive and environmentally conscious power source to a site, for example, a remote site such as a well services environment. Grid power may be provided for one or more operations at the site by coupling a main breaker to a switchgear unit coupled to one or more loads. The switchgear unit may be coupled to the main breaker via a main power distribution unit and may also be coupled to one or more loads. At least one of a grid power unit and a switchgear unit may be coupled to the main breaker via the main power distribution unit and may also be coupled to one or more additional loads. A control center may be communicatively coupled to the main breaker or any one or more other components to control one or more operations of the grid power configuration.

Abstract: Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity.

Abstract: A computer-implemented method and system for enhancing interaction between a customer using a client computer and a customer service representative of a company using a workstation. A Web session is commenced on a Web site for the client computer of the customer, wherein the Web session includes displaying a first Web page to the customer. A telephonic interaction is commenced between the customer and the customer service representative and a split screen is displayed on the workstation. The split screen including the first Web page and a second Web page, wherein the second Web page is only viewable by the customer service representative. An application is caused to be moved from the second Web page to the first Web page for review and interaction by the customer via the client computer.

Abstract: Exemplary embodiments pertain to new techniques for classifying or labeling organized data. A major impediment to implementing high-quality machine learning is the lack of readily accessible labeled data. In some cases, data can be classified using a classifier, but these solutions can be inaccurate and slow. Exemplary embodiments address the problem of obtaining accurate labeled data in a timely manner by applying a classifier configured to operate on character-level embeddings. Among other advantages, this can help the classifier to recognize information contained within a data unit, such as a cell of a table. The classifier may operate within the organizational structure of the data, such as by operating across a particular row or column of a table. Because data within a particular row or column is often temporally organized (e.g., transactions that are logged in chronological order), row- or column-based approaches can yield more accurate results.