DISCOVERY OF INDOLYL PIPERAZINYLPYRIMIDINES WITH DUAL-TARGET PROFILES ADENOSINE A2¿ AND DOPAMINE D2 RECEPTORS FOR PD TREATMENT

Ph.DDOCTOR OF PHILOSOPH

Effects of geometric features of highway horizontal alignment on steering behavior of passenger car

In order to elucidate the effects of the features of horizontal curves on the steering behavior of passenger car, the vehicle driving behavior when negotiating simple curves (tangent + circular section + tangent) was investigated. A complete dynamic model of a passenger car was developed using the Automatic Dynamic Analysis of Mechanical Systems (ADAMS) software. Virtual driving tests were conducted on simple curves with different parameters for two driving patterns: curve cutting and lane keeping. Based on the variation in the amplitude of the angle input of the steering wheel, the steering process of a passenger car was divided into three stages: curve entry, maintenance, and curve exit. The steering lengths and steering times corresponding to the vehicle entering, remaining in, and exiting curves were obtained for each driving pattern. The relationship between the two parameters and the curve radius as well as that between the two parameters and the deflection angle was thus determined. On the one hand, this study can be a guide for selecting the parameters for curve geometry design and, in particular, for determining an appropriate value of the spiral length. On the other hand, the correspondence between the steering wheel angle and the trajectory curvature should allow one to identify the three driving states, namely, straight driving, variable-curvature driving, and circular-curve driving. This should help in improving driver behavior and hence driving safety

Unextendible Maximally Entangled Bases in Cpd⊗Cqd\mathbb{C}^{pd}\otimes \mathbb{C}^{qd}

The construction of unextendible maximally entangled bases is tightly related to quantum information processing like local state discrimination. We put forward two constructions of UMEBs in $\mathbb {C}^{pd}\otimes \mathbb {C}^{qd}$($p\leq q$) based on the constructions of UMEBs in $\mathbb {C}^{d}\otimes \mathbb {C}^{d}$ and in $\mathbb {C}^{p}\otimes \mathbb {C}^{q}$, which generalizes the results in [Phys. Rev. A. 94, 052302 (2016)] by two approaches. Two different 48-member UMEBs in $\mathbb {C}^{6}\otimes \mathbb {C}^{9}$ have been constructed in detail

Hierarchical triple mergers: testing Hawking's area theorem with the inspiral signals

Hawking's area theorem is one of the fundamental laws of black holes (BHs), which has been tested at a confidence level of $\sim 95\%$ with gravitational wave (GW) observations by analyzing the inspiral and ringdown portions of GW signals independently. In this work, we propose to carry out the test in a new way with the hierarchical triple merger (i.e., two successive BH mergers occurred sequentially within the observation window of GW detectors), for which the properties of the progenitor BHs and the remnant BH of the first coalescence can be reliably inferred from the inspiral portions of the two mergers. As revealed in our simulation, a test of the BH area law can be achieved at the significance level of $\gtrsim 3\sigma$ for the hierarchical triple merger events detected in LIGO/Virgo/KAGRA's O4/O5 runs. If the hierarchical triple mergers contribute a $\gtrsim 0.1\%$ fraction to the detected BBHs, a precision test of the BH area law with such systems is achievable in the near future. Our method also provides an additional criterion to establish the hierarchical triple merger origin of some candidate events.Comment: 5 pages, 5 figures, 1 tabl

QCD corrections to the R-parity violating processes ppˉ/pp→eμ+Xp\bar{p}/pp \to e\mu+X at hadron colliders

We present the QCD corrections to the processes $p\bar{p}/pp \to e\mu+X$ at the Tevatron and the CERN large hadron collider(LHC). The numerical results show that variation of K factor is in the range between $1.28(1.32)$ and $1.79(1.58)$ at the Tevatron(LHC). We find that the QCD correction part from the one-loop gluon-gluon fusion subprocess is remarkable at the LHC and should be taken into account.Comment: 7 pages, 6 Postscript figures, to be appeared in Phy. Rev.

Machine learning study of the relationship between the geometric and entropy discord

As an important resource to realize quantum information, quantum correlation displays different behaviors, freezing phenomenon and non-localization, which are dissimilar to the entanglement and classical correlation, respectively. In our setup, the ordering of quantum correlation is represented for different quantization methods by considering an open quantum system scenario. The machine learning method (neural network method) is then adopted to train for the construction of a bridge between the R\`{e}nyi discord ($\alpha=2$) and the geometric discord (Bures distance) for $X$ form states. Our results clearly demonstrate that the machine learning method is useful for studying the differences and commonalities of different quantizing methods of quantum correlation