Abstract: A compound having a first ligand LA of Formula I, In Formula I, each of moiety B and moiety C is a monocyclic ring or a polycyclic fused ring system; each of Z1, X1, and X2 is C or N; K is a direct bond or a linker; each R?, R?, RA, RB, and RC is hydrogen or a General Substituents defined herein; at least one RA comprises an electron-withdrawing group, a silyl group, or a germyl group; LA is coordinated to a metal M, having an atomic mass of at least 40; and any two substituents may be joined or fused to form a ring. Formulations, OLEDs, and consumer products containing the same are also provided.

Abstract: In mass casualty (MASCAL) or similar events, combat medics often omit using body substance isolation (BSI) equipment, specifically disposable gloves, as donning gloves takes critical time away from treating patients. A multilayer glove loader and methodology of use that allows users to quickly put on multiple layers of gloves simultaneously addresses these concerns.

Abstract: A method and an apparatus for optimizing communication of mobile base stations are provided. The method responds to an optimization problem of maximizing a sum rate of transmission and generates a QUBO model capable of quantum computing to rapidly enable optimal resource allocation through quantum annealing.

Abstract: The present disclosure is directed to human monoclonal IgE antibodies, and IgG antibodies engineered therefrom. Such engineered antibodies can be used to blunt pathologic IgE responses in subjects, such as in the treatment or prevention of allergies.

Abstract: Nanocomposite ceramic or glass materials are disclosed herein, which include a matrix material and one or more nanostructures dispersed within the matrix material. The nanostructures may comprise one or more core-shell nanostructures including a core nanostructure and a shell material. The shell material may be different from the material making up the core nanostructure and may improve the wettability of the core-shell nanostructure, the dispersion of the core-shell nanostructure within the matrix material, or make the core-shell nanostructure more resistant to oxidation, when compared to the core nanostructure alone. Methods of making nanocomposite ceramic or glass materials are also disclosed herein.

Abstract: Embodiments of the present disclosure provide a single stranded nucleic acid construct with a predetermined number of binding sites, wherein the construct comprises a targeting domain, at least one signaling domain, and at least one splint oligonucleotide that hybridizes to complementary regions on the targeting domain and the signaling domain to form a ligation junction to link each domain to form a functional unit. The present disclosure also provides for methods of using the construct to quantify a target nucleic acid through signal intensity. In other embodiments, the disclosure provides use of the construct in multiplexed target detection methods.

Abstract: A safety suture kit has layers of simulated tissue that move and close semi-independently of one another. Prefabricated incisions in the various tissue layers and prefabricated pathways coupled to the prefabricated incisions provide for a blunted needle to travel through the prefabricated incisions and pathways in order to move the tissue layers towards a closed position of a prefabricated incision. Elimination of sharps instrumentation such as needles, scissors and scalpel provides a safety suture kit suitable for suture simulation by users of all ages and abilities.

Abstract: A train crash energy management (CEM) optimization method based on machine learning is provided. The method includes: establishing a finite element model that is for an eight-marshalling train crash and considers a train energy absorption subsystem and a wheel-rail rolling contact behavior; establishing a machine learning database for train crash energy absorption; constructing a machine learning prediction model for the train crash energy absorption; and performing multi-objective optimization on CEM of a train based on machine learning.

Abstract: Medical energy devices, systems, and methods that allows for treatment of systemic inflammatory disorders through modulation of neural activity.

Abstract: Wearable technologies for personalized monitoring require sensors that track biomarkers often present at low levels. Cortisol—a key stress biomarker—is present in sweat at low nanomolar concentrations. Previous wearable sensing systems are limited to analytes in the micromolar-millimolar ranges. To overcome these and other limitations, the present embodiments include a flexible field-effect transistor (FET) biosensor array that exploits a new cortisol aptamer coupled to nanometer-thin-film In2O3 FETs. Cortisol levels were determined via molecular recognition by aptamers where binding was transduced to electrical signals on FETs. The physiological relevance of cortisol as a stress biomarker was demonstrated by tracking salivary cortisol levels in participants in a Trier Social Stress Test and establishing correlations between cortisol in diurnal saliva and sweat samples.

Abstract: Disclosed are implementations, including a method for medical/clinical monitoring that includes obtaining clinical and physiological measurement data for a patient, and contextual information associated with the patient and representative of location and time at which the clinical and physiological measurement data were obtained, and obtaining clinician behavior data for the clinicians while treating the patient. The method further includes determining intermittently, using an ensemble learning process, based on the measurement data and the contextual information, one of a plurality of medical state prediction models best suited for a current clinical situation associated with the patient.

Abstract: Provided herein is a device for rapid fixation and embedding of a biological specimen, the device including a barrel having a first end and a second end, the first end receiving a plunger and the second end opening to a compartment defining a block mold; and a plunger for inserting in the barrel, the plunger having a first end, a second end, and an interior conduit connecting the first and second ends, wherein the first end of the plunger connects to a vacuum source and the second end of the plunger includes a filter barrier between the interior conduit of the plunger and a receptacle for receiving, fixing, and embedding the specimen, the receptacle defined inside the barrel when the plunger is disposed in the barrel. Also provided are a system and method for rapid fixation and embedding of a biological specimen.

Abstract: The present disclosure relates to an ultra-small laser oscillator utilizing self-resonance in a pattered indirect bandgap material. The ultra-small laser oscillator using self-resonance according to an embodiment may include a substrate; and a resonator that is formed of transition metal dichalcogenides (TMDs) on the substrate, supports a whispering gallery mode (WGM), and performs lasing in a form of a continuous wave at room temperature.

Abstract: Disclosed is a multi-base station queued preambles allocation method based on collaboration between multiple agent, which provides a non-competitive preambles allocation method in a scenario of multiple base stations and multiple cells, so as to solve the congestion problem caused during random access of massive MTCDs. The devices are queued to select the preambles based on deep reinforcement learning, and a training method based on federal learning is applied, thus effectively solving the congestion problem caused by competitive access. First, the newly accessed devices are grouped and the level of priority is set according to a delay tolerance time. Then, the device are reasonably allocated to idle queues by means of a multi-agent reinforcement learning algorithm. Finally, by means of a federal training method, the neural network of each agent is synchronously optimized by means of average optimization of neural network gradients, thus completing preambles allocation to each agent.

Abstract: A thin-film-coating/substrate two-layer thermal absorber/emitter structure is configured with controllable emission properties at ultra-high operating temperatures. The proposed two-layer thermal absorber/emitter structure is composed of a substrate made of a first material, and a thin-film layer/coating made of a second material and disposed on the substrate. The single thin-film layer or coating provides control and tuning of the emission properties of the overall two-layer thermal absorber/emitter structure. Both materials selected for the absorber/emitter structure possess high melt points to withstand extreme temperature variations. The two-layer thermal absorber/emitter structure reduces the complexity and cost of fabrication and manufacture and the likelihood of thermal failure.

Abstract: A system and method allow interaction with a mobile device using finger pointing gestures. The mobile device includes an imaging device having a field of view that contains an object of interest. The system and method are capable of identifying the object of interest in image data captured by the imaging device by casting a ray from a finger of user, who is pointing to the object using traditional pointing gestures. Verbal utterances spoken by the user can be captured and used to provide context about the object of interest.

Abstract: The present disclosure provides methods for treating bone disease, such as bone cancers or bone metastasis of cancers, by administering an engineered bone-targeting compositions, such as an antibody or one or more polypeptides, such as an antibody or polypeptide engineered to comprise bone-homing peptide(s). Further provided herein are bone-targeting compositions, such as an antibody or one or more polypeptides, such as an antibody or polypeptide engineered to comprise bone-homing peptide(s).

Abstract: The object of the present invention is to provide a microsampling device that allows analysis of proteins in a biological sample, such as a whole blood sample, and provide methods of using the same.

Abstract: A method and apparatus for graph processing using a neural network model are provided. The method includes generating messages based on node states of nodes of input graph data using a neural message generating model, generating aggregated messages by aggregating the messages based on the nodes, updating the node states of the nodes by executing different neural update models, and outputting a task result with respect to the input graph data based on the updated node states.

Abstract: Predictions of current and/or future neurocognitive decline (NCD) can be based on functional neuroimaging data (e.g., fMRI data) and a machine-learning classifier model. Functional neuroimaging data is obtained while the subject performs a naturalistic language-processing task, such as watching a movie clip, and processed to extract a quantitative feature set. A classifier model is trained using machine learning techniques to predict a subject's NCD status based on the quantitative feature set.