Abstract: Approaches are provided for lighting load classification using machine learning models, and selection of parameters for dimmer operation based on the classification. Approaches provide requests and/or use of updated models, building datasets for model construction, model construction, evaluation, and selection, application of machine learning models and handling unsuccessful classification attempts or classification into a class corresponding to an unknown lighting load type, and selection of operating parameters based on the foregoing.

Abstract: A power distribution device is disclosed. The power distribution device includes: a first power source input end for connecting a first power source; a second power source input end for connecting a second power source; a first power source switch for connecting a first power source input end with a bus and switching on and off the power supply of the first power source; a second power source switch for connecting a second power source input end with a bus and switching on and off the power supply of the second power source; the bus for connecting with a load device and supplying power for the load device; and a load device switch for switching on and off the power supply to a relevant load device. Furthermore, A power distribution system is also disclosed.

Abstract: The present disclosure discloses a NiMo-based nanomaterial earphone diaphragm sand a preparation method thereof. The diaphragm uses a paper base film as the basis, and a uniform distribution of a NiMo-based nanomaterial coating is formed on a surface of the base film by plasma modification and electrostatic spraying technology, forming a concentric ring structure and using the NiMo-based nanomaterial as connecting lines to enhance the stability and conductive performance of the overall structure. This design not only significantly improves the audio quality performance of the earphones, including clarity, detail restoration, and dynamic range, but also greatly improves the durability and environmental adaptability of the diaphragm. The present disclosure provides an innovative solution for high-end earphone manufacturing, and is especially suitable for music lovers who pursue the ultimate audio experience and professional audio fields.

Abstract: A rolling-of-soft-electronics (ROSE) having a planar component with one or more shanks and one or more electrodes disposed on the one or more shanks. The one or more shanks are positioned in rows and separated by a space having a pitch. The planar component is made of a flexible material that is rolled in a ROSE method such that the one or more shanks are circularly arranged in three-dimensions.

Abstract: The present disclosure provides a balloon catheter system for treating heart failure in a subject. The balloon catheter systems of the present disclosure form low pressure areas below the subclavian vein and above the renal vein which promotes the return of blood and lymph back to the heart. Additionally, the balloon catheter systems stimulate the vagus nerve, thereby reducing activation of the sympathetic nervous system and improving cardiac remodeling.

Abstract: Approaches are provided for lighting load classification using machine learning models, and selection of parameters for dimmer operation based on the classification. Approaches provide requests and/or use of updated models, building datasets for model construction, model construction, evaluation, and selection, application of machine learning models and handling unsuccessful classification attempts or classification into a class corresponding to an unknown lighting load type, and selection of operating parameters based on the foregoing.

Abstract: Dental whitening compositions, kits and systems exhibiting stability in viscosity and hydrogen peroxide concentration for an extended shelf life without refrigeration or other special storage conditions are provided herein. The composition may be in gel form and comprise a hydrogen peroxide or a hydrogen peroxide precursor, and a thickening agent comprising a crosslinked and/or water insoluble N-vinyl heterocyclic homo- or copolymer. In some aspects, a kit may be provided comprising a two-part dental whitening system, wherein one part comprises a whitening agent, and a separate part comprises a strong base.

Abstract: A power distribution device is disclosed. The power distribution device includes: a first power source input end for connecting a first power source; a second power source input end for connecting a second power source; a first power source switch for connecting a first power source input end with a bus and switching on and off the power supply of the first power source; a second power source switch for connecting a second power source input end with a bus and switching on and off the power supply of the second power source; the bus for connecting with a load device and supplying power for the load device; and a load device switch for switching on and off the power supply to a relevant load device. Furthermore, A power distribution system is also disclosed.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Abstract: A preparation method of a human scalp hair follicle single cell suspension includes the following steps: step 1, a fresh isolated scalp tissue is pretreated with a digestive enzyme solution in a low temperature environment; step 2, the hair follicles can be effectively dissociated by digestion with the digestive enzyme solution at 30-37° C.; step 3, the dissociated hair follicles are digested with pancreatin-EDTA to obtain a human scalp hair follicles single cell suspension. In addition, the invention discloses a human scalp hair follicle single cell suspension prepared by the above method and use thereof. The method of the present invention is short in time and the hair follicles dissociated are high in integrity, and the subsequent isolated single cell populations are large in number and high in vitality, which solves the problems of incomplete separation of hair follicles from isolated scalp tissue, long cell extraction time, and low cell viability.

Abstract: Dental whitening compositions, kits and systems exhibiting stability in viscosity and hydrogen peroxide concentration for an extended shelf life without refrigeration or other special storage conditions are provided herein. The composition may be in gel form and comprise a hydrogen peroxide or a hydrogen peroxide precursor, and a thickening agent comprising a vinylpyrrolidone polymer or copolymer. In some aspects, a kit may be provided comprising a two-part dental whitening system, wherein one part comprises a whitening agent, and a separate part comprises a strong base.

Abstract: Dental remineralization compositions and methods are provided herein. In an aspect of the disclosure, a remineralization composition comprises a remineralizing agent and a polyanion serving as a multi-point anchor to localize the remineralizing agent on tooth surfaces. The remineralization composition can comprise a non-ionic surfactant that promotes formation of complexes between the remineralizing agent and the polyanion. In some aspects, the polyanion comprises poly(acrylic acid) sodium salt. In some aspects, the remineralizing agent comprises at least one of bioactive calcium containing compounds, bioactive calcium containing complexes, and free calcium ions formed once the bioactive calcium containing compounds contacts or mixes with water. In some aspects, the remineralization composition is free of phosphates and/or phosphate salts.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Abstract: Dental whitening compositions, kits and systems exhibiting stability in viscosity and hydrogen peroxide concentration for an extended shelf life without refrigeration or other special storage conditions are provided herein. The composition may be in gel form and comprise a hydrogen peroxide or a hydrogen peroxide precursor, and a thickening agent comprising a vinylpyrrolidone polymer or copolymer. In some aspects, a kit may be provided comprising a two-part dental whitening system, wherein one part comprises a whitening agent, and a separate part comprises a strong base.

Abstract: Embodiments of the present disclosure provide a photoresist removal method and a photoresist removal device. The photoresist removal method includes: providing a substrate and a photoresist located on the substrate; wherein the photoresist includes an inner core layer and an outer shell layer covering a surface of the inner core layer, and a concentration of ions doped in the outer shell layer is greater than a concentration of ions doped in the inner core layer; performing at least one shelling treatment on the photoresist, until the outer shell layer is completely removed; wherein one shelling treatment includes: performing a water vapor treatment on the outer shell layer to soften at least part of the outer shell layer, to form a soft outer shell layer; and removing the soft outer shell layer; and removing the inner core layer after the outer shell layer is completely removed.

Abstract: Disclosed are a monitoring feedback system and a monitoring feedback method. System comprises: a first accommodating device and a second accommodating device, respectively configured to store a first solution and a second solution; a mixing device, configured to store a mixed solution, the mixed solution being composed of the first solution and the second solution; a first concentration detecting device, configured to detect a current concentration of the mixed solution; and a concentration compensating module, configured to obtain, based on a difference between the current concentration and a predetermined concentration, a first compensation amount of the first solution to be compensated to the mixing device or a second compensation amount of the second solution to be compensated to the mixing device, and to compensate the mixed solution based on the first compensation amount or the second compensation amount so that the concentration of the compensated solution reaches the predetermined concentration.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.

Abstract: A machine learning model for classifying different lighting loads based on properties of electrical current through the loads is built. The model is applied to electrical data gathered based on powering a target lighting load in order to classify the load. Based on load classification, operating parameter(s) to control operation of a dimmer to control power to the load are selected and the dimmer is configured with the selected parameter(s) to achieve desired dimmer operation in dimming the load.