Objective To characterize the ovarian reserve indicators for premature insufficiency (POI) at different disease stages and with various etiologies. Methods According to FSH levels menstrual conditions, patients normal (NOR 5 IU/L<FSH<10 IU/L, n=987), precursor stage of POI (pre-POI 10 IU/L<FSH ≤ 25 n=410), early (25 40 IU/L n=147), failure (POF FSH>40 n=454) were retrospectively screened their records abstracted from Reproductive Hospital Affiliated Shandong...

Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In variety of battlefield mission scenarios, UAVs are required to safely fly designated locations without human intervention. Therefore, finding suitable method solve the UAV Autonomous Motion Planning (AMP) problem can improve success rate missions certain extent. recent years, many studies have used Deep Reinforcement Learning (DRL) methods address AMP and achieved good results. From perspective sampling, this paper...

Based on the second-order quantum interference between frequency entangled photons that are generated by parametric down conversion, a strategic algorithm for synchronizing two spatially separated clocks has been recently presented. In reference frame of Hong-Ou-Mandel (HOM) interferometer, photon correlations used to define simultaneous events. Once HOM interferometer is balanced use an adjustable optical delay in one arm, arrival times simultaneously recorded each clock. The clock offset...

A pursuit-evasion game is a classical maneuver confrontation problem in the multi-agent systems (MASs) domain. An online decision technique based on deep reinforcement learning (DRL) was developed this paper to address of environment sensing and decision-making games. control-oriented framework from DRL-based deterministic policy gradient (MADDPG) algorithm built implement cooperative overcome limitation tedious state variables required for traditionally complicated modeling process. To...

Autonomous motion planning (AMP) of unmanned aerial vehicles (UAVs) is aimed at enabling a UAV to safely fly the target without human intervention. Recently, several emerging deep reinforcement learning (DRL) methods have been employed address AMP problem in some simplified environments, and these yielded good results. This paper proposes multiple experience pools (MEPs) framework leveraging expert experiences for DRL speed up process. Based on deterministic policy gradient (DDPG) algorithm,...

In deep reinforcement learning, network convergence speed is often slow and easily converges to local optimal solutions. For an environment with reward saltation, we propose a magnify saltatory (MSR) algorithm variable parameters from the perspective of sample usage. MSR dynamically adjusts rewards for experience saltation in pool, thereby increasing agent’s utilization these experiences. We conducted experiments simulated obstacle avoidance search unmanned aerial vehicle compared...

Unmanned aerial vehicles (UAVs) have been widely used in military warfare, and realizing safely autonomous motion control (AMC) complex unknown environments is a challenge to face. In this paper, we formulate the AMC problem as Markov decision process (MDP) propose an advanced deep reinforcement learning (DRL) method that allows UAVs execute tasks different environments. Aiming overcome limitations of prioritized experience replay (PER), proposed asynchronous curriculum (ACER) uses...

Quantum clock synchronization schemes utilizing frequency-entangled pulses have flourished for their potentially superior precision to the classical protocols. In this Letter, a new experimental record based on second-order quantum interference algorithm is reported, best of our knowledge. The accuracy between two parties separated by 6 km fiber coiling link, which evaluated time offset shift relative that with fibers removed, has been measured be 13±1 ps. stability in terms deviation (TDEV)...

Diminished ovarian reserve (DOR) is one of the most intractable clinical issues in human reproduction and reported to be associated with raised risk recurrent pregnancy loss aneuploid blastocysts. In this study, we aimed explore whether DOR was also maternal neonatal complications in-vitro fertilization/intracytoplasmic sperm injection cycles. A retrospective cohort study including women below 40 years age who achieved singleton live birth after fresh embryo transfer cycles a single center...

In this paper, a model for simulating the optical response and noise performances of photodetectors with L-C coupling transimpedance amplification circuit is presented. To verify simulation, two kinds photodetectors, which are based on same printed-circuit-board (PCB) designing PIN photodiode but different operational amplifiers, developed experimentally investigated. Through comparisons between numerical simulation results obtained data, excellent agreements achieved, show that provides...

Autonomous navigation is a key technology of multi-UAV systems, and deep reinforcement learning can endow UAVs with powerful autonomous decision-making capabilities. To improve the convergence speed stability learning, this paper proposes multi-agent deterministic policy gradient algorithm based on prioritized experience replay, namely PER-MADDPG. This makes samples higher priority have probability being chosen for parameter update, which up convergence. Moreover, actions are generated...

We demonstrate an efficient generation of frequency anti-correlated entangled photon pairs at telecom wavelength. The fundamental laser is a continuous-wave high-power fiber 1560 nm, through extracavity doubling system, 780-nm pump with power as high 742 mW realized. After single-passing periodically poled KTiOPO4 (PPKTP) crystal, degenerate down-converted are generated. With overall detection efficiency 14.8 %, the count rates single photons and coincidence measured to be 370 kHz 22 kHz,...

A particle filter deals with state estimation problem or nonlinear models non-Gaussian noise. In the framework of a filter, resampling scheme is used to decrease degeneracy phenomenon, however it also introduces sample impoverishment, which can be reduced by using Markov Chain Monte Carlo (MCMC) method, such as Metropolis-Hastings (M-H) algorithm. However, there are many possible choices within family M-H algorithms, and performance filters MCMC moves closely related choice This paper...

We present a new particle filter (PF) algorithm, which uses mathematical tool known as Galerkin's projection method to generate the proposal distribution. By definition, is numerical approach approximate solution of partial differential equation. leveraging this with L <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> theory and FFT, fundamentally different various local linearization or Kalman based proposals. apply algorithm...

We theoretically propose a multiparameter cascaded quantum interferometer in which two-input and two-output setup is obtained by concatenating 50:50 beam splitters with $n$ independent adjustable time delays. A general method for deriving the coincidence probability of such an given based on linear transformation matrix splitters. As examples, we analyze interference characteristics one-, two- three-parameter interferometers different frequency correlations input states. Some typical...

Frequency entangled biphoton sources have played an important role in quantum information. There are two key characteristics which determine the extent of their applications: spectral indistinguishability and degree frequency entanglement. Previously, state is measured by Hong–Ou–Mandel (HOM) interference visibility, whereas entanglement normally characterized with independent measurements. However, these features not been successfully a single experimental setup. In this paper, we deduce...

In this paper, we present a new particle filtering (PF) algorithm for visual target tracking where Galerkin's projection method is used to generate the proposal distribution. numerical approach approximate solution of partial differential equation (PDE). By leveraging in concert with L <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> theory and FFT, obtain which directly approximates true state posterior distribution fundamentally...

High sensitivity optical gyroscopes, as an important component of aerospace navigation system, have become a research hotspot. The the classical gyroscope is restricted by shot-noise-limit owing to vacuum zero energy fluctuation. Therefore, cannot meet growing demand navigation, sensing and communication. In this work, measurement scheme quantum based on frequency entangled source Hong-Ou-Mandel (HOM) interference proposed. order realize high-precision delay measurement, visibility width HOM...

Influenced by their loads and operation states, self- provided power plants may get from the grid or supply to grid. It is necessary measure on-grid energy off-grid respectively because of difference between price price. When a plant connected with two more substations in grid, ride-through flow be generated due influence operating states. crucial for accurate metering eliminate when measuring on- energy. A novel method judge state self-provided put forward this paper analyzing phenomenon...

This paper presents a method for real time object tracking. The tracks 3D objects in image sequences and jointly estimates their pose motion parameters. solution relies on state modeling of this estimation problem. We develop resolution based sequential Monte Carlo more particularly hybrid particle filter. approach combines the benefits linear filtering with those nonlinear by using part equations. proposed allows significant reduction running preserves optimality processing. As consequence, tracking

Based on the second-order quantum interference between entangled photons generated by parametric down conversion, we have demonstrated a proof-of-principle experiment of synchronizing two clocks separated 4-km fiber link. A sub-picosecond accuracy is achieved.