Halos in medium-heavy and heavy nuclei with covariant density functional theory in continuum

The covariant density functional theory with a few number of parameters has been widely used to describe the ground-state and excited-state properties for the nuclei all over the nuclear chart. In order to describe exotic properties of unstable nuclei, the contribution of the continuum and its coupling with bound states should be treated properly. In this Topical Review, the development of the covariant density functional theory in continuum will be introduced, including the relativistic continuum Hartree-Bogoliubov theory, the relativistic Hartree-Fock-Bogoliubov theory in continuum, and the deformed relativistic Hartree-Bogoliubov theory in continuum. Then the descriptions and predictions of the neutron halo phenomena in both spherical and deformed nuclei will be reviewed. The diffuseness of the nuclear potentials, nuclear shapes and density distributions, and the impact of the pairing correlations on nuclear size will be discussed.Comment: 63 pages; Topical Review, J. Phys. G (in press

Measurement and Calibration of A High-Sensitivity Microwave Power Sensor with An Attenuator

In this paper, measurement and calibration of a high-sensitivity microwave power sensor through an attenuator is performed using direct comparison transfer technique. To provide reliable results, a mathematical model previously derived using signal flow graphs together with non-touching loop rule analysis for the measurement estimate (i.e. calibration factor) and its uncertainty evaluation is comparatively investigated. The investigation is carried out through the analysis of physical measurement processes, and consistent mathematical model is observed. Later, an example of Type-N (up to 18 GHz) application is used to demonstrate its calibration and measurement capability

Openness' and Organizational Factors' Effects on Learning Behavior

This study investigates the influence of openness, collaborative culture, and organizational climate on learning behavior (i.e. knowledge-sharing and explorative learning) in the Taiwanese technology industry. Data were collected from 200 participations working in 42 technological companies; 178 participants were used to perform hierarchical linear modeling. Openness and collaborative culture were related positively to learning behavior, learning behavior influenced organizational climate negatively, and collaborative culture and organizational climate did not moderate openness and learning behavior. This study uses two-level variables to examine influences on learning behavior. Using hierarchical linear modeling, two-level variables and moderating effects are examined simultaneously. The primary contribution of this study is demonstrating that organizational climate types influence learning behavior; the wrong climate weakens learning behavior, especially explorative learning

Postpartum Psychosis: A Legitimate Defense for Negating Criminal Responsibility (Comment)

Part I traces the slaughter of children throughout history and literature, and reveals the functions and reasons behind the ancient practice of infanticide. Part II discusses the medical debate regarding the causes of postpartum psychosis. Part III evaluates the legal recognition of postpartum psychosis as a defense in terms of usage and success rates. Analyzing postpartum depression to determine whether it meets the legal test of insanity, it compares the English common law to the American perspective of infanticide. Four tests are examined in detail: the M'Naghten test, the American Law Institute Model Penal Code test, the "Irresistible Impulse" test, and the Durham or "Product" test. Part IV looks to the effects of gender on sentencing, and compares sentencing for maternal as opposed to paternal infanticides. It examines how mothers are punished under the Texas justice system. Postpartum psychosis is a gender-specific defense. Part IV determines whether gender is a relevant factor in the charge of murder, and examines the validity of postpartum psychosis as an "Excuse" defense, along with the partial defense of "Extreme Mental and Emotional Disturbance." Evaluating current Congressional bills regarding postpartum disorders, Part IV also addresses the Texas approach to postpartum psychosis, as related to mental illness through the Texas Mental Health Code and the Texas Penal Code. Part V advocates proposed approaches to the defense of postpartum psychosis by either changing the burden of proof or considering such a defense as a mitigating factor at sentencing, if not both; it advocates the possibility of manslaughter for infanticide and involuntary manslaughter for neonaticide. Lastly, the Texas Penal Code and proposed amendments are analyzed and compared to the "guilty but mentally ill" standard' of other states, as well as the Model Penal Code. Part V ultimately looks to various statutes-state, federal, and foreign-for possible answers to the puzzle of postpartum psychosis in Texas courts today

Lattice ellipsoidal statistical BGK model for thermal non-equilibrium flows

A thermal lattice Boltzmann model is constructed on the basis of the ellipsoidal statistical Bhatnagar-Gross-Krook (ES-BGK) collision operator via the Hermite moment representation. The resulting lattice ES-BGK model uses a single distribution function and features an adjustable Prandtl number. Numerical simulations show that using a moderate discrete velocity set, this model can accurately recover steady and transient solutions of the ES-BGK equation in the slip-flow and early transition regimes in the small Mach number limit that is typical of microscale problems of practical interest. In the transition regime in particular, comparisons with numerical solutions of the ES-BGK model, direct Monte Carlo and low-variance deviational Monte Carlo simulations show good accuracy for values of the Knudsen number up to approximately 0:5. On the other hand, highly non-equilibrium phenomena characterized by high Mach numbers, such as viscous heating and force-driven Poiseuille flow for large values of the driving force, are more difficult to capture quantitatively in the transition regime using discretizations that have been chosen with computational efficiency in mind such as the one used here, although improved accuracy is observed as the number of discrete velocities is increased

Cryptocurrency Rewards and Crowdsourcing Task Success

Crowdsourcing task success depends on the contributions of developers. How to identify capable developers and motivate them to actively contribute to a task is a challenging issue. This study investigates how the use of cryptocurrency rewards, i.e., the choices of stablecoins and unstablecoins affects the crowdsourcing task success, and how the relationship depends on task difficulty. Based on 3858 crowdsourcing tasks, we find that the use of unstablecoins reduces the number of participating contributors and extends the time period of having the first contributor, but has no significant effect on the likelihood of task success. In addition, task difficulty alleviates the negative effect of the unstablecoins on the number of participants. Our study potentially provides important implications for the use of cryptocurrency tokens as task rewards

Cryptocurrency Rewards and Crowdsourcing Task Success

Crowdsourcing task success depends on the contributions of developers. How to identify capable developers and motivate them to actively contribute to a task is a challenging issue. This study investigates how the use of cryptocurrency rewards, i.e., the choices of stablecoins and unstablecoins affects the crowdsourcing task success, and how the relationship depends on task difficulty. Based on 3858 crowdsourcing tasks, we find that the use of unstablecoins reduces the number of participating contributors and extends the time period of having the first contributor, but has no significant effect on the likelihood of task success. In addition, task difficulty alleviates the negative effect of the unstablecoins on the number of participants. Our study potentially provides important implications for the use of cryptocurrency tokens as task rewards