Abstract: Provided are a temperature sensor, an array substrate, and a display device. In the temperature sensor, a low-pass filter is disposed between a ring oscillator and a comparator, so that a square-wave signal output from the ring oscillator passes through the low-pass filter and a high-frequency component in the square-wave signal output from the ring oscillator is directly filtered out by the low-pass filter, thereby improving a signal-to-noise ratio of the ring oscillator and a test accuracy of the temperature sensor.

Abstract: A ratchet wrench includes at least one ratchet mechanism. The at least one ratchet mechanism comprises a body, a ratchet wheel, a pawl, a switch unit, a ring and a top clip. The body includes a through hole, a first recess, a second recess and a top recessed area to accommodate the ratchet wheel, the pawl, the switch unit, the ring and the top clip. The ratchet wheel has a first pivotal portion, a top groove, a second pivotal portion and a restricting protrusion. The switch unit is pivoted to control the movement of the pawl in the first recess. The ring is located in the top recessed area and has a fourth pivotal portion connected to the first pivotal portion. The top clip and the restricting protrusion on two ends of the ratchet wheel restrict the ring and the ratchet wheel in the through hole.

Abstract: Predicting beneficial drug combinations mitigating adverse drug reactions identifies drug combinations and associated target adverse drug reaction from a spontaneous reporting system containing case reports of drugs and associated adverse drug reactions. Each drug combination comprises a first drug and a second drug, and a propensity score is computed for each drug in each group. This propensity score expresses a probability of being exposed to a given drug based on other co-prescribed drugs and reported indications, which reflect patient characteristics. Associations are computed for each drug as well as drug interaction. Among the associations, the sum of the associations of the second drug and the interaction effect represents the predicted beneficial score expressing whether the second drug alters the chance of developing the target adverse drug reaction for patients on the first drug.

Abstract: The embodiments of the present disclosure disclose a touch panel and a display apparatus. The touch panel includes a display unit comprising a plurality of pixel units; and a fingerprint recognition sensor disposed on one side of the display unit which is opposite to a light emitting surface of the display unit, wherein the display unit further comprises at least one via hole disposed between two adjacent pixel units, and a light divergence member disposed on one side of each via hole which is close to the fingerprint recognition sensor. The light divergence member is configured to irradiate reflected light obtained as light emitted by the pixel units is reflected by a touch body onto the fingerprint recognition sensor.

Abstract: A comparator offset voltage self-correction circuit is disclosed. A comparator offset voltage which is caused by the semiconductor process parameter randomness also has randomness. Due to the randomness of the comparator offset voltage, a reference voltage of a parallel comparator in a parallel-conversion-type analog-to-digital converter is uncertain. If the comparator offset voltage is large, the parallel-conversion-type analog-to-digital converter may even have a functional error. The comparator offset voltage self-correction circuit provided in the present invention can correct a random offset voltage of a comparator to meet requirements.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting drug and food interactions. A computer identifies one or more drug similarity measures between one or more drugs and one or more food similarity measures between one or more foods. In addition, the computer identifies one or more interactions between the one or more drugs and the one or more foods, then calculates one or more drug-food feature vectors based on the one or more interactions, the one or more drug similarity measures, and the one or more food similarity measures. Furthermore, the computer calculates a first probability indicating whether a first drug of the one or more drugs will interact with a first food of the one or more foods based on a model, wherein the model is trained based on the one or more drug-food feature vectors.

Abstract: A touch panel, an electronic device, and a driving method thereof are provided. The touch panel includes: a substrate and a tactile feedback layer, a touch detection circuit and a plurality of driving electrodes located on the substrate. The tactile feedback layer is configured to adjust hardness thereof under control of the driving electrode, the touch detection circuit is configured to provide a plurality of touch detection points, each of the touch detection points corresponding to at least one of the driving electrodes.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for predicting drug and disease interactions. A computer identifies one or more drug similarity measures between one or more drugs and one or more disease similarity measures between one or more diseases. In addition, the computer identifies one or more interactions between the one or more drugs and the one or more diseases, then calculates one or more drug-disease feature vectors based on the one or more interactions, the one or more drug similarity measures, and the one or more disease similarity measures. Furthermore, the computer calculates a first probability indicating whether a first drug of the one or more drugs will interact with a first disease of the one or more diseases based on a model, wherein the model is trained based on the one or more drug-disease feature vectors.

Abstract: Techniques for synchronizing configuration information in a clustered storage environment. The techniques allow a system administrator or other user to make additions and/or updates to configuration information in one or more configuration files, which are automatically propagated for storage in multiple data storage appliances within a storage domain. By allowing a user to make changes to configuration files associated with a primary appliance within the storage domain, and automatically propagating the configuration files in a background process from the primary appliance to multiple secondary appliances within the storage domain, the user can more readily assure consistency of the configuration information, not only among the primary and secondary appliances within the storage domain, but also among previously unavailable or unreachable data storage appliance(s) that may be recovered and brought back on line within the storage domain.

Abstract: In response to determining that an encryption operation request includes no indication of a cryptographic key, an encryption service module performs an encryption operation using a current cryptographic key retrieved by the encryption service module, and creates and stores an encrypted data object that includes the resulting ciphertext and a key identifier that uniquely identifies the cryptographic key and the associated cryptographic algorithm used to perform the encryption. A subsequent decryption operation request to the encryption service module that indicates the encrypted data object is processed by retrieving the cryptographic key and identifying the associated cryptographic using the key identifier contained in the encrypted data object. The encrypted data object may also include an initialization vector used to generate the ciphertext contained in the encrypted data object, as well as an integrity check value generated across the ciphertext and initialization vector.

Abstract: Link prediction for biomedical entities. A neural network is trained using known associations between biomedical entities, including their vector representations and additional information-carrying content describing the biomedical entities. The trained network infers or predicts unobserved associations between two entities.

Abstract: Conjugates of an IL-7 moiety and one or more nonpeptidic, water-soluble polymers are provided. Typically, the non-peptidic, water-soluble polymer is poly(ethylene glycol) or a derivative thereof. Also provided, among other things, are compositions comprising conjugates, methods of making conjugates, and methods of administering compositions to an individual.

Abstract: The present disclosure discloses a fingerprint recognition device, a display substrate and a display apparatus. The fingerprint recognition device includes: at least one fingerprint detection component; at least one fingerprint recognition signal line, the fingerprint detection component outputs a detection current to the fingerprint recognition signal line; at least one noise reduction circuit serially coupled in the fingerprint recognition signal line, the noise reduction circuit being a resistive component; and a fingerprint determination circuit coupled to the fingerprint recognition signal line, configured to determine a morphology of a fingerprint according to a current signal, subjected to a noise reduction by the noise reduction circuit and transmitted by the fingerprint recognition signal line.

Abstract: Techniques regarding efficient means for chemical compound discovery are provided. For example, one or more embodiments can regard a system, which can comprise a memory that stores computer executable components and a processor, operably coupled to the memory, that can execute the computer executable components stored in the memory. The computer executable components can comprise a test component that can determine a first parameter value of a tested chemical compound from a plurality of chemical compounds. Additionally, a model component can generate a regression analysis model using a value information analysis. The regression analysis model can regard the plurality of chemical compounds based on the first parameter value. Further, an identification component can identify a preferred chemical compound from the plurality of chemical compounds based on the regression analysis model. A second parameter value of the preferred chemical compound can be greater than a defined threshold.

Abstract: Mechanisms are provided for implementing a framework to learn multiple drug-adverse drug reaction associations. The mechanisms receive and analyze patient electronic medical record data and adverse drug reaction data to identify co-occurrences of references to drugs with references to adverse drug reactions (ADRs) to thereby generate candidate rules specifying multiple drug-ADR relationships. The mechanisms filter the candidate rules to remove a subset of one or more rules having confounder drugs specified in the subset of one or more candidate rules, and thereby generate a filtered set of candidate rules. The mechanisms further generate a causal model based on the filtered set of candidate rules. The causal model comprises, for each ADR in a set of ADRs, a corresponding set of one or more rules, each rule specifying a combination of drugs having a causal relationship with the ADR.

Abstract: Mechanisms are provided for implementing a framework to learn multiple drug-adverse drug reaction associations. The mechanisms receive and analyze patient electronic medical record data and adverse drug reaction data to identify co-occurrences of references to drugs with references to adverse drug reactions (ADRs) to thereby generate candidate rules specifying multiple drug-ADR relationships. The mechanisms filter the candidate rules to remove a subset of one or more rules having confounder drugs specified in the subset of one or more candidate rules, and thereby generate a filtered set of candidate rules. The mechanisms further generate a causal model based on the filtered set of candidate rules. The causal model comprises, for each ADR in a set of ADRs, a corresponding set of one or more rules, each rule specifying a combination of drugs having a causal relationship with the ADR.

Abstract: A cooling system is provided for a 3D integrated circuit (IC) to deliver fluid in x, y, and z dimensions to interior regions of the IC as a means to regulate heat. An IC includes a microfluidic network of channels, at least one sensor and at least one microelectromechanical system (MEMS)-based device that is disposed within the network of channels and that is configured to regulate a flow of fluid within the network of channels. Each sensor monitors a state of the IC. Each MEMS-based device receives control signals based on a state of the IC and regulates a flow of fluid within the network of channels based on control signals that area received on a real-time basis based on changes detected in a state of the IC.

Abstract: In one embodiment, a method includes receiving one or more datasets including measured vertical electric and magnetic fields excited by one or more radial and azimuthal electric field antennas from a downtool into one or more processors, wherein each of the one or more datasets corresponds to a different position of the one or more radial azimuthal electric field antennas, simultaneously inverting the one or more datasets using the one or more processors, and as a result of the simultaneous inversion, generating by the one or more processors a three-dimensional (3D) image of a portion of the geological formation.

Abstract: The present disclosure relates to image recognition devices and touch panels. An image recognition apparatus comprises a plurality of depth cameras including a plurality of depth camera units, each depth camera including two depth camera units, wherein the plurality of depth camera units is arranged in an array on a same substrate. According to the image recognition devices and touch panels of the embodiments, the accuracy of the depth detection can be improved.

Abstract: Examples of the disclosure provide an OLED touch display panel, a display device and a method for delecting a touch operation zone, relate to the field of touch display, and may achieve an incell touch display panel. The display panel has an OLED component, which comprises a first electrode; a piezoresisiive material layer, which is above the first electrode of the OLED component; a touch electrode layer, which is above the piezoresistive material layer; and a first stripe electrode, a second stripe electrode, a third stripe electrode and a fourth stripe electrode, which are provided above the touch electrode layer and not contacted with each other.