A new time-frequency method to reveal quantum dynamics of atomic hydrogen in intense laser pulses: Synchrosqueezing Transform

This study introduces a new adaptive time-frequency (TF) analysis technique, synchrosqueezing transform (SST), to explore the dynamics of a laser-driven hydrogen atom at an {\it ab initio} level, upon which we have demonstrated its versatility as a new viable venue for further exploring quantum dynamics. For a signal composed of oscillatory components which can be characterized by instantaneous frequency, the SST enables rendering the decomposed signal based on the phase information inherited in the linear TF representation with mathematical support. Compared with the classical type TF methods, the SST clearly depicts several intrinsic quantum dynamical processes such as selection rules, AC Stark effects, and high harmonic generation

A Neural Network Decision Method for Software Maintenance Life Cycle Identification

The software maintenance life cycle concept is a powerful model in helping software maintenance planning. The operationalization of the life cycle concept requires a heuristic decision method. Although the heuristic decision method works most of the time, the method requires integration of different tools and sometimes leads to errors. In this paper, we propose a neural network decision method, which combines data smoothing and maintenance stage identification into one unit

Comparison of diffusion-weighted imaging and contrast-enhanced T1-weighted imaging on a single baseline MRI for demonstrating dissemination in time in multiple sclerosis

BACKGROUND: The 2010 Revisions to the McDonald Criteria have established that dissemination in time (DIT) of multiple sclerosis (MS) can be demonstrated by simultaneous presence of asymptomatic gadolinium-enhancing and nonenhancing lesions on a single magnetic resonance imaging (MRI). However, gadolinium-based contrast agents (GBCAs) have contraindications. Diffusion-weighted imaging (DWI) can detect diffusion alterations in active inflammatory lesions. The purpose of this study was to investigate if DWI can be an alternative to contrast-enhanced T1-weighted imaging (CE T1WI) for demonstrating DIT in MS. METHODS: We selected patients with clinically definite MS and evaluated their baseline brain MRI. Asymptomatic lesions were identified as either hyperintense or nonhyperintense on DWI and enhancing or nonenhancing on CE T1WI. Fisher’s exact test was performed to determine whether the hyperintensity on DWI was related to the enhancement on CE T1WI (P < 0.05). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the DWI to predict lesion enhancement were calculated. RESULTS: Twenty-two patients with 384 demyelinating lesions that were hyperintense on T2-weighted imaging and more than 3 mm in size were recruited. The diffusion hyperintensity and lesion enhancement were significantly correlated (P <0.001). The sensitivity, specificity, PPV, NPV and accuracy were 100%, 67.9%, 32.3%, 100% and 72.1%, respectively. CONCLUSIONS: A hyperintense DWI finding does not necessarily overlap with contrast enhancement. There are many false positives, possibly representing other stages of lesion development. Although DWI may not replace CE T1WI imaging to demonstrate DIT due to the low PPV, it may serve as a screening MRI sequence where the use of GBCAs is a concern

CSR committee and firm value during the COVID-19 pandemic

This paper investigates whether the presence of CSR committees has a mitigating effect on firm value (measured by Tobin's Q) during the COVID-19 pandemic. Analyzing UK listed firm data, we find that although the pandemic results in lower firm value, the presence of CSR committees helps to mitigate the negative impact of COVID-19 on firm value. The results suggest that the formation of CSR committees is not a symbolic impression management tool but an effective sustainability governance mechanism during the crisis. Our results should be helpful for regulators and companies in making decisions related to CSR committees

A Framework For Users’ Satisfaction Of Information Systems In E-Government

Governments around the world are actively promotingelectronic government (e-Government) initiatives to provide fast, convenient and innovative services. Most previous studies focus mainly on discussing the affecting factors of public\u27s satisfaction toward information services provided by their government in the context of voluntary adoption. Inorder to effectively enable and provide e-Government service, most government agencies have been urged to use specific information systems (IS) to implement functions for information and records management. Under such mandated IS deployment, the interaction among regulatory body, government agency and end-users critically shapes the deployment of system. However, few researches examined the technology adoption in mandatory setting. The purpose of this study is to propose a model for user’s satisfaction in e-Government and clarify the relationship among strategy formulation, social influence, perceived performance, and end-users’ satisfaction of IS in government agency through empirical investigation. The empirical findings suggest that strategy formulation is the antecedent of users’ satisfaction in using IS through the effect of organizational resources and individual performance