We proposed a novel method for direct characterization of transient noise and gain for a pulsed low-noise amplifier (LNA) with nanosecond resolution over a wide bandwidth. 

The method employed a standard noise source and an oscilloscope to measure the time-domain output waveform of the LNA. Transient noise and gain of a gate-pulse-operated C-band LNA at two biases were measured with 50~ns resolution. 

The method showed good agreement with static measurements. 


This The present letter proposes Al/Graphene Oxide (GO)/WSe2/ITO heterojunction based visible-NIR photodetector fabricated by the low-cost solution method. The p-type WSe2 makes a heterostructure with the n-type Graphene Oxide (GO) material deposited over ITO coated PET substrate. The developed device results in a very high  responsivity Rs

(A/W)  and external quantum efficiency (EQE) value of 8000 and 1150, 1.5 x 106 % and 0.09 x 106 %,  at 650nm (Vis) and 1500nm (NIR) wavelength (at -2V bias). 


A large core size and bending resistance are very important properties of mid-infrared energy transfer fibers, but large core sizes usually lead to a deterioration of bending properties. A negative-curvature nested node-free anti-resonant hollow-core fiber (AR-HCF) based on quartz is proposed. It was made by adding a nested layer to a previous AR-HCF design to provide an additional anti-resonance region while keeping the gap between adjacent tubes strictly correlated to the core diameter to produce a node-free structure.


We utilized Digital Ocean's cloud service, setting up three Linux virtual machines, each with 1vCPU, 1GB of memory, and a 10GB disk. The architecture included an API gateway for routing requests to a stateless application service backed by a database for storing application data. The application operates the service under a fluctuating workload generated by a load-testing script to simulate real-world usage scenarios. The target source or the application service is integrated with Prometheus, a monitoring tool for gathering system metrics.


Dataset for Analysis of a Programmable Quantum Annealer as a Random Number Generator

Paper: https://arxiv.org/abs/2307.02573

The raw measurements from the D-Wave quantum annealer are -1/+1 spins. They were converted to binary bitstrings by mapping all -1 spins to 0 states.

The datafiles are .bin files where each bit is time ordered (and fixed hardware-indexed ordered). The number of qubits on the device is 2032, so each group of 2032 bits is one anneal-readout cycle.


An untethered ultrasonic robot (U2sonobot) operating in resonant vibration is developed by integrating dual transducers, an onboard circuit, and a battery. Here, the longitudinal and bending vibrations lead to the out-of-phase swing motion and the alternating acceleration, respectively; these imitate the rotatory galloping gait in terms of the driving feet’s movement pattern and the operating sequence. First, the transducers were designed to gather the resonant frequencies of two vibrations and produce the same node for steadily supporting the other components.


The Reflection Server Tuning dataset contains HiPerConTracer latency measurements performed in a lab setup. The purpose of the dataset is to measure the latency and jitter effects of  firewalls and Linux kernel tuning.


As human-robot interaction rapidly spreads in numerous fields, the subject of robot acceptance gains increasing importance. Visual similarity to the human body, as occurs for humanoids, is generally not enough to guarantee acceptance in physical interaction, as acceptance directly links to comfort and ergonomics, which are measured in terms of the quality of the robot movement perceived by the human. This paper discusses the connection between comfort and similarity of the robot movement to the human one.


Here we analyze the pair entropy function on large numbers by generating sets of pseudo-random numbers and calculating the pair entropy as a function of number of digits. We analyze the statistical behavior of the average entropy, determine that the average entropy grows logarithmically in the asymptotic limit, and discuss the behavior of higher statistical moments. We observe several distinct regions emerge with transitions that depend on the base of the numbers considered.


<p>we consider GPT-4 to generate dialogues according to designed causal structures. Specifically, we, for simplicity, assumed all dialogues are composed of 4 utterances rotating from 2 speakers and designed 4 causal structures to manifest different causal relationships. Along with the designed generating rules according to 4 causal structures, we adopted gpt-4-0314 and Chat Completion api to commence dialogue generation. Below is an example dialogue of the Chain IV from our dataset:
1. Have you seen a dog around here recently?