Abstract: Provided is an anti-PD-L1 antibody preparation, including an anti-PD-L1 antibody, a buffer solution and sodium chloride, without added sugars and/or sugar alcohols. Also provided is the use of the anti-PD-L1 antibody preparation in the preparation of drugs for preventing and/or treating and/or adjuvant treating and/or diagnosing a tumor or anemia.

Abstract: Presented are systems and methods for automatically creating and labeling training data for training-based radio, comprising receiving, at a receiver, a frame that comprises a modulated radio frequency (RF) signal comprising a set of waveforms that correspond to payload data. The payload data comprises a sequence of random bits. In embodiments, until a stopping condition is met one or more steps are performed, comprising detecting the frame; demodulating the modulated RF signal to reconstruct the sequence of random bits; using the reconstructed sequence to determine whether the payload data has been correctly received; in response to determining that the payload data has not been correctly received, discarding it and, otherwise, accepting the sequence of random bits as a training label; associating the training label with the modulated RF signal to generate labeled training data; and appending the labeled training data to a labeled training data set.

Abstract: Presented are systems and methods for automatically decoding and demodulating radio signals in a communication network. Embodiments utilize a one-dimensional (1D) convolutional neural network (CNN) as the key architecture of a decoder that utilizes one or more 1D convolution windows to perform convolution operations on to-be-decoded or demodulated input signals received by the communication network. In embodiments, this may be achieved by receiving, at a CNN correlator implemented in a decoder, an input signal that comprises unknown data and applying to the input signal, in the discrete time domain, a convolution to obtain a CNN correlator output to which an activation may be applied to decode the input signal and output the decoded signal.

Abstract: Presented are systems and methods for automatically creating and labeling training data for training-based radio, comprising receiving, at a receiver, a frame that comprises a modulated radio frequency (RF) signal comprising a set of waveforms that correspond to payload data. The payload data comprises a sequence of random bits. In embodiments, until a stopping condition is met one or more steps are performed, comprising detecting the frame; demodulating the modulated RF signal to reconstruct the sequence of random bits; using the reconstructed sequence to determine whether the payload data has been correctly received; in response to determining that the payload data has not been correctly received, discarding it and, otherwise, accepting the sequence of random bits as a training label; associating the training label with the modulated RF signal to generate labeled training data; and appending the labeled training data to a labeled training data set.

Abstract: Presented are systems and methods for automatically decoding and demodulating radio signals in a communication network. Embodiments utilize a one-dimensional (1D) convolutional neural network (CNN) as the key architecture of a decoder that utilizes one or more 1D convolution windows to perform convolution operations on to-be-decoded or demodulated input signals received by the communication network. In embodiments, this may be achieved by receiving, at a CNN correlator implemented in a decoder, an input signal that comprises unknown data and applying to the input signal, in the discrete time domain, a convolution to obtain a CNN correlator output to which an activation may be applied to decode the input signal and output the decoded signal.

Abstract: A near field communication reader includes a receiver, a transmitter, a matching network, a reader antenna coupled to the matching network; a microcontroller coupled to the receiver and the transmitter, a microcontroller; and a non-transitory computer readable media coupled to the microcontroller and including code segments and data executable on the microcontroller to control a RF driver of the transmitter based upon loading level as determined, for example, by a field detector output and RF driver settings.

Abstract: A near field communication reader includes a receiver, a transmitter, a matching network, a reader antenna coupled to the matching network; a microcontroller coupled to the receiver and the transmitter, a microcontroller; and a non-transitory computer readable media coupled to the microcontroller and including code segments and data executable on the microcontroller to control a RF driver of the transmitter based upon loading level as determined, for example, by a field detector output and RF driver settings.

Abstract: An adaptive dual mode card emulation system (in Card Emulation Mode or PICC design) within an NFC device is disclosed to solve the strong field power delivering issue and also achieve longer communication range. The NFC device may be a NFC tag or an electronic device (such as a smartphone) operated in a card emulation mode. The NFC device comprises an antenna used for wireless communication. The adaptive dual mode card emulation system comprises a passive load modulation (PLM) module, an active load modulation (ALM) module and an automatic power control (APC) module. The APC module couples to both the ALM and PLM modules and selectably enables the ALM or PLM module depending on the strength of received carrier signal sent from an NFC reader.

Abstract: An adaptive dual mode card emulation system (in Card Emulation Mode or PICC design) within an NFC device is disclosed to solve the strong field power delivering issue and also achieve longer communication range. The NFC device may be a NFC tag or an electronic device (such as a smartphone) operated in a card emulation mode. The NFC device comprises an antenna used for wireless communication. The adaptive dual mode card emulation system comprises a passive load modulation (PLM) module, an active load modulation (ALM) module and an automatic power control (APC) module. The APC module couples to both the ALM and PLM modules and selectably enables the ALM or PLM module depending on the strength of received carrier signal sent from an NFC reader.

Abstract: This disclosure describes various embodiments of apparatuses, systems, and methods for wireless sensing. In some embodiment, a first signal comprising a first frequency f1 and a second signal comprising a second frequency f2 are used as interrogating signals. A third signals comprising a third frequency f3 is generated with an object, and a measurement of the object is determined based on the third signal. Frequency f3 is determined by formula f3=m×f1+n×f2, where m, n are real numbers (positive, negative, or zero). In particular, the third signal may be emitted at one or more of the harmonic frequencies associated with the frequencies of the first and/or the second signal. In some embodiments, a first signal comprising a first frequency is used as an interrogating signal, and a second signal comprising a frequency different from the first frequency is generated by a sensing device exposed to an object, the sensing device comprising a nonlinear transistor.