Exploring the supersymmetric U(1)B−L×_{B-L} \times U(1)R_{R} model with dark matter, muon g−2g-2 and Z′Z^\prime mass limits

We study the low scale predictions of supersymmetric standard model extended by $U(1)_{B-L}\times U(1)_{R}$ symmetry, obtained from $SO(10)$ breaking via a left-right supersymmetric model, imposing universal boundary conditions. Two singlet Higgs fields are responsible for the radiative $U(1)_{B-L}\times U(1)_{R}$ symmetry breaking, and a singlet fermion $S$ is introduced to generate neutrino masses through inverse seesaw mechanism. The lightest neutralino or sneutrino emerge as dark matter candidates, with different low scale implications. We find that the composition of the neutralino LSP changes considerably depending on the neutralino LSP mass, from roughly half $U(1)_R$ bino, half MSSM bino, to singlet higgsino, or completely dominated by MSSM higgsino. The sneutrino LSP is statistically much less likely, and when it occurs it is a 50-50 mixture of right-handed sneutrino and the scalar $\tilde S$. Most of the solutions consistent with the relic density constraint survive the XENON 1T exclusion curve for both LSP cases. We compare the two scenarios and investigate parameter space points and find consistency with the muon anomalous magnetic moment only at the edge of $2\sigma$ deviation from the measured value. However, we find that the sneutrino LSP solutions could be ruled out completely by strict reinforcement of the recent $Z^\prime$ mass bounds. We finally discuss collider prospects for testing the model

Physical Capital Estimates for China's Provinces, 1952-2015 and Beyond

Capital estimates are widely used in economic growth and productivity studies, for profitability considerations and wealth accounting exercises. Yet the calculation of “capital” frequently receives only cursory attention, despite the challenges posed by conceptual difficulties, the complexity of calculations, and the extensive data requirements. This paper (i) calculates long-run provincial (and national) physical capital series for China, (ii) distinguishes between capital services and wealth capital stock, and (iii) applies the most recent methodology advanced by the OECD, the U.S. Bureau of Labor Statistics, and the Australian Bureau of Statistics. The complete set of data is available online and is expected to be updated on an annual basis in the future

A comprehensive review of the human body burden of persistent organic pollutants (POPs) and associated health effects in an e-waste recycling area in China

Abstract Guiyu has been one of the world’s largest destinations for electronic waste (e-waste) recycling for decades. The recyling process in Guiyu relied on informal and family-based activities, which have led to severe environmental pollution and associated extensive health problems. This review examines the connections between exposure to persistent organic pollutants (POPs) and health outcomes, particularly in neonates, children and pregnant women. The residents in Guiyu exhibit high levels of contamination from POPs, especially PBDEs, PAHs and PCBs. Excessive exposure to these compounds have been associated with multi-system and long-term effects in children, changes in gestational age in pregnant mothers, and adverse birth outcomes in neonates. The findings raise concerns about the impact of POPs stemming from e-waste recycling on human health, and contribute to a better understanding of the need for monitoring sources, distribution, and effects of e-waste related-POPs in other regions of China and similar sites worldwide

Effects of Morphology and Temperature on the Tensile Characteristics of Carbon Nitride Nanothreads

Very recently synthesized carbon nitride nanothreads (CNNTs) by compressing crystalline pyridine show outperformance in chemical and physical properties over diamond nanothreads. Here, using first-principle based ReaxFF molecular dynamics (MD) simulations, a comprehensive investigation on mechanical characteristics of seven experimentally synthesized CNNTs is performed. All the CNNTs exhibit unique tensile properties that change with molecular morphology, atomic arrangement and the distribution of nitrogen in the skeleton. CNNTs with more effective loading covalent bonds at cross-sections are more mechanically robust. Surprisingly, tiny CNNT with periodic unit structures of 5462-cage shows extreme ductility because of formation of linear polymer via 4-step dissociation-and-reformation of bonds at extremely low temperature of 1 to 15 K, however, it yields by brittle failure at one cross-section with low ductility at higher temperature, similar to other CNNTs at different temperatures, which offers a feasible way to design a kind of lightweight material that can be used in ultra-low temperature conditions, for example, harsh deep space environment. Results also show that temperature significantly affects the fracture stress and rupture strain but not the effective stiffness. Analysis of atomic bond orders and bond lengthening reveals that the unique nonlinear elasticity of CNNTs is attributed to the occurrence of local bond transformations. This study provides physical insights into the tensile characteristics of CNNTs for design and application of the CNNT-based nanostructures as multifunctional materials

Tensile Mechanical Characteristics of Thinnest Carbon Sulfur Nanothreads in Orientational Order

Carbon sulfur nanothreads (CSNTs) mainly composed of two chiral long alkane chains have been recently fabricated from thiophene by a pressure-induced phase transition in low-temperature, but their mechanical properties remain unexplored. Here, the critical roles of morphology and temperature on the tensile characteristics of CSNTs are for the first time examined using molecular dynamic simulations with first-principles-based ReaxFF forcefield. It is revealed that CSNTs exhibit high tensile Young’s modulus, high tensile strength and excellent ductility, and their tensile properties are morphology and temperature dependent. Morphologically, atomic arrangement with various configurations makes every CSNTs possess unique mechanical properties. Thermally, as temperature varies from 1-1500 K, CSNTs become mechanically weakened. In comparison with conventional diamond nanothreads (DNTs) and carbon nitride nanothreads (CNNTs), CSNTs show distinct axial elongation mechanisms, with relatively insignificant changes in chemical bond orders and bond length in the skeleton prior to the final rupture. Instead, the stretching of bond angle and dihedral angle mainly contribute to the global axial elongation, while the torsional deformation is limited due to their perfect global symmetry in the configuration. This study provides fundamental insights into the mechanics of ultra-thin CSNT structures

Scalings for the Alfvén-cyclotron instability in a bi-kappa plasma

The particle velocity distribution in space plasma usually exhibits a non-Maxwellian high-energy tail that can be well modeled by kappa distributions. In this study, we focus on the growth rates of the Alfvén-cyclotron instability driven by ion temperature anisotropy in a kappa plasma. By solving the kinetic linear dispersion equation, we explore the sensitivity of growth rates to the spectral index κ of a bi-kappa distribution under different plasma conditions, including a variety of plasma beta \begin{document}${\beta }_{hp}$\end{document} and temperature anisotropy \begin{document}${A}_{hp}$\end{document} values of hot protons. Furthermore, a concise, analytic scaling formula is derived that relates the dimensionless maximum growth rate to three independent variables: the spectral index and the plasma beta and temperature anisotropy of hot protons. Our results show that as the κ-value increases, the instability bandwidth narrows and the maximum growth rate increases significantly. For higher \begin{document}${\beta }_{hp}$\end{document} and \begin{document}${A}_{hp}$\end{document}, the maximum instability undergoes a sharp increase as well. When our fits of dimensionless maximum growth rates are compared with solutions to kinetic linear dispersion theory, the results generally exhibit good agreement between them. Especially under the circumstances of large κ-values and high \begin{document}${\beta }_{hp}$\end{document} and \begin{document}${A}_{hp}$\end{document}, the scalings of maximum growth rates primarily accurately model the numerical solutions. Our analytic expressions can readily be used in large-scale models of the Earth’s magnetosphere to understand wave generation due to the Alfvén-cyclotron instability

Identification of key TE associated with myocarditis based on RNA and single-cell sequencing data mining

Cardiomyopathy is a severe cardiac condition characterized by complex immune regulatory mechanisms. While the role of immune genes is recognized, the specifics of their regulation in cardiomyopathy are not fully understood. Recent studies highlight the significance of transposable elements (TEs) in various diseases, particularly their potential to modulate immune responses. This paper utilizes publicly available databases to explore the role of TEs in myocarditis: RNA Seq data and single-cell sequencing data were analyzed, with a focus on the mouse model of experimental autoimmune myocarditis (EAM). The RNA-Seq analysis revealed substantial upregulation of a range of immune genes in cardiac tissue. Further investigation using single-cell sequencing of cardiac immune cells identified specific expression of certain transposable elements (TEs) across different types of immune cells in the heart. Additionally, there was an overall increase in the expression of the ERVB7-1. LTR-MM transposon across various cells in the EAM model, suggesting a widespread impact of this transposon on the immune response in this disease context. The findings of this study highlight the intricate interplay between transposable elements and the immune system in cardiomyopathy, providing new insights into the molecular mechanisms underlying this condition. The discovery of specific TEs expression in cardiac immune cells and the overall increase in ERVB7-1. LTR-MM expression across the EAM model underscore the potential of these elements in modulating immune responses and contribute to our understanding of cardiomyopathy's pathogenesis. These observations open avenues for further research into the role of TEs in cardiac disases and may lead to novel therapeutic strategies