The role of quenched disorder, interfaces and confinement on the glassy dynamics of colloidal suspensions, thermal liquids and films

Understanding the slow activated glassy dynamics of colloidal and thermal (molecular, metallic, polymer) fluids in the presence of quenched disorder, interfaces and/or confinement is of fundamental science importance and relevant for materials applications. My overarching goal is to construct new, microscopic, force-level statistical mechanical theories to determine qualitatively and quantitatively the dynamics of confined systems using relatively simple models, make testable predictions and compare to experiments. The Elastically Collective Nonlinear Langevin Equation (ECNLE) theory for activated relaxation in the bulk serves as the starting point to predict dynamical arrest, the shear modulus and alpha relaxation time. First, I construct a new theoretical framework for the dynamics of bulk isotropic hard-sphere fluids and colloidal suspensions in the presence of randomly pinned particles, and also apply it to real thermal liquids. The randomly-pinned particle systems are also used to describe caging constraints at solid substrates in supported films. Second, I propose an improved treatment of collective elasticity effects in films to capture geometric asymmetry due to modified boundary conditions. Third, a new theory is constructed for how the local dynamic free energy that quantifies spatial caging constraints in glass-forming liquids at a surface and how such perturbations are propagated into the film. Fourth, novel predictions are made under anisotropic confinement in specific classes of films with a vapor interface(s), roughly and smooth hard substrates, and a vibrating (softened) pinned particle solid which reflect a complex interplay between glassy dynamics, elastic and topographic properties of surfaces, and physical adsorption. The spatial gradient of alpha relaxation time and glass transition temperature, interfacial and vitrified dead-layer thickness, spatial decoupling of relaxation in films from the bulk, elastic shear modulus, and characteristic length scales are calculated and are found to be in good agreement with simulations of simple models and experiments on molecular and polymeric liquids

Performance analysis for three cases of outage probability in one-way DF full-duplex relaying network with presence of direct link

In this paper, the one-way decode-and-forward (DF) full-duplex relaying network system with presence of direct link is investigated. In the analysis section, we derived the exact, lower, and upper bound for outage probability (OP) with maximal ratio combining (MRC) at the receiver. Furthermore, the system performance's analytical expressions are verified by using the Monte Carlo simulation. In addition, we investigated the effect of the main parameters on the OP of the proposed system. Finally, we can sate that the simulation curves overlap the analytical curves to convince the analysis section. This research can provide a novel recommendation for the communication network

Lower and upper bound form of outage probability in one-way AF full-duplex relaying network under impact of direct link

This paper proposed and investigated the one-way amplify-and-forward (AF) full-duplex relaying network under impact of direct link. For the system performance analysis, the exact and lower and upper bound form of the system outage probability (OP) are investigated and derived. In this system model, authors assume that the E uses the MRC (maximal ratio combining) technique. Finally, we can see that the analytical and the simulation values overlap to verify the analytical section using the Monte Carlo simulation. Also, we investigate the influence of the system primary parameters on the proposed system OP

Augmented incremental recognition of online handwritten mathematical expressions

This paper presents an augmented incremental recognition method for online handwritten mathematical expressions (MEs). If an ME is recognized after all strokes are written (batch recognition), the waiting time increases significantly when the ME becomes longer. On the other hand, the pure incremental recognition method recognizes an ME whenever a new single stroke is input. It shortens the waiting time but degrades the recognition rate due to the limited context. Thus, we propose an augmented incremental recognition method that not only maintains the advantage of the two methods but also reduces their weaknesses. The proposed method has two main features: one is to process the latest stroke, and the other is to find the erroneous segmentations and recognitions in the recent strokes and correct them. In the first process, the segmentation and the recognition by Cocke-Younger-Kasami (CYK) algorithm are only executed for the latest stroke. In the second process, all the previous segmentations are updated if they are significantly changed after the latest stroke is input, and then, all the symbols related to the updated segmentations are updated with their recognition scores. These changes are reflected in the CYK table. In addition, the waiting time is further reduced by employing multi-thread processes. Experiments on our dataset and the CROHME datasets show the effectiveness of this augmented incremental recognition method, which not only maintains recognition rate even compared with the batch recognition method but also reduces the waiting time to a very small level

The influence of hardware impairment on the system performance of two-way relaying network

In this research, the system performance of the half-duplex two-way relay network under hardware impairment condition is presented and investigated. In this system model, the time switching protocol and amplify-and-forward (AF)-based are considered. First, of all, the analytical expressions of the outage probability, and achievable throughput with the exact closed form and asymptotic form were proposed and derived. Furthermore, the research results are derived and convinced by Monte-Carlo calculation. The numerical results demonstrated and convinced the analytical and the simulation results are agreed for all possible system parameters

Research on factors affecting organizational structure, operating mechanism and audit quality: An empirical study in Vietnam

This research aims to determine factors affecting and the level of their influence on organizational structure, operating mechanism and audit quality in the Vietnamese market. In this paper, the methodology used by the authors is mixed method. Combination of the qualitative research method and the quantitative research method on the basis of meta-analysis and synthesis of existing information from various sources and results of interviews carried out in early 2018 using a questionnaire for 270 auditors who now work at audit firms in Vietnam. The results of the research showed that factors affecting the operating mechanism of audit firms include the legal system, quality control and internal corporate governance. Factors affecting the audit quality are the organizational structure and the operating mechanism of audit firms. Among these factors, the operating mechanism has the greatest impact on and plays a decisive role in the audit quality. In addition, the research showed that factors affecting the organizational structure of audit firms in Vietnam are unobvious

Effect of Red Y2O3:Eu3+ phosphor on the color quality and luminous efficacy of the 7000K IPW-LEDs

In this study, we investigate the effect of concentration of the red Y2O3:Eu3+ phosphor on the Color Rendering Index (CRI), Color Quality Scale (CQS) and Lumen Output (LO) of the 7000K in-cup packaging white LEDs (IPW-LEDs). The physical model of the 7000K IPW-LEDs is conducted by Light Tools software. By varying the concentration of the red phosphor from 0% to 0.36%, we use the Light Tools software to investigate the CRI, CQS, and LO of the 7000K IPW-LEDs. From the research results, it can be observed that the CRI and CQS can be increased to 85 and 71, respectively. However, the LO has a decrease in the increasing trend of the red phosphor concentration. This paper provides the new recommendation for the manufacturing of the IPW-LEDs

Dataset of Vietnamese students’ intention in respect of study abroad before and during COVID-19 pandemic

The Covid-19 Pandemic had completely disrupted the worldwide educational system. Many schools chose the online delivery mode for students in case learning losses incurred during social distance decree. However, as to these students who are currently in the study abroad planning stages, reached an intention crossroads, whether standing for certain unchanging decisions in study abroad destinations or changing swiftly due to the unexpected policies in quarantine. This case opened to interpretation, which was based on our e-survey since 3 May to 13 May 2020 with 397 responses covering a range of Vietnamese students. In this dataset, we focused on (i) Students’ Demographics; (ii) The previous intention of students to study abroad before and during the Covid-19 ravaged and (iii) Their intention afterwards

Theoretical predictions of melting behaviors of hcp iron up to 4000 GPa

The high-pressure melting diagram of iron is a vital ingredient for the geodynamic modeling of planetary interiors. Nonetheless, available data for molten iron show an alarming discrepancy. Herein, we propose an efficient one-phase approach to capture the solid-liquid transition of iron under extreme conditions. Our basic idea is to extend the statistical moment method to determine the density of iron in the TPa region. On that basis, we adapt the work-heat equivalence principle to appropriately link equation-of-state parameters with melting properties. This strategy allows explaining cutting-edge experimental and ab initio results without massive computational workloads. Our theoretical calculations would be helpful to constrain the chemical composition, internal dynamics, and thermal evolution of the Earth and super-Earths