Phys Rev Lett
May 2025
Thermodynamics of degenerate Fermi gases has been extensively studied through various aspects such as Pauli blocking effects, collective modes, BCS superfluidity, and more. Despite this, multicomponent fermions with imbalanced spin configurations remain largely unexplored, particularly beyond the two-component scenario. In this Letter, we generalize the thermodynamic study of SU(N) fermions to spin-imbalanced configurations based on density fluctuations.
View Article and Find Full Text PDFThe concept of non-Hermiticity has expanded the understanding of band topology, leading to the emergence of counter-intuitive phenomena. An example is the non-Hermitian skin effect (NHSE), which involves the concentration of eigenstates at the boundary. However, despite the potential insights that can be gained from high-dimensional non-Hermitian quantum systems in areas such as curved space, high-order topological phases and black holes, the realization of this effect in high dimensions remains unexplored.
View Article and Find Full Text PDFInt J Low Extrem Wounds
August 2024
Aim: To evaluate the efficacy of stem cell therapy from different sources on the ankle-brachial index, wound closure percentage, and wound closure time in the treatment of diabetic foot ulcers (DFUs).
Methods: A literature search was conducted in PubMed, Embase, Cochrane Library's Central Register of Controlled Trials, and Web of Science, extending through June 29, 2023. Quality evaluation was done using the Cochrane's bias risk assessment tool (RoB 2.
Common symptoms of Chronic Non-atrophic Gastritis (CNAG) include nausea, stomach distension, and abdominal pain. The Houtou Jianweiling Tablet (HTJWT) is a chinese patent medicine (CN1368229A) and it has been used clinically for more than 20 years with proven clinical efficacy in treating CNAG, prompted us to establish the clinical efficacy and safety of HTJWT on patients with mild to moderate CNAG symptoms in Pakistani population. This phase II, double-blind, randomized, parallel-controlled trial was conducted in a single center between November 2022 and February 2023 in Pakistan.
View Article and Find Full Text PDFAlthough classifying topological quantum phases have attracted great interests, the absence of local order parameter generically makes it challenging to detect a topological phase transition from experimental data. Recent advances in machine learning algorithms enable physicists to analyze experimental data with unprecedented high sensitivities, and identify quantum phases even in the presence of unavoidable noises. Here, we report a successful identification of topological phase transitions using a deep convolutional neural network trained with low signal-to-noise-ratio (SNR) experimental data obtained in a symmetry-protected topological system of spin-orbit-coupled fermions.
View Article and Find Full Text PDFAppl Bionics Biomech
March 2022
With the development of science and technology, energy consumption and demand continue to increase, and energy conservation and consumption reduction have become the primary issue facing the world. Improving the energy efficiency of ships not only helps reduce fuel consumption but also reduces carbon dioxide emissions, which is an important guarantee for the green development of the ocean and the maintenance of ecological balance. Through natural selection and adaptation to the environment after evolution, the body surface of organisms generates a variety of ways to resist adhesion and resistance of Marine organisms.
View Article and Find Full Text PDFOne of the most interesting directions in quantum simulations with ultracold atoms is the expansion of our capability to investigate exotic topological matter. Using sophisticated atom-light couplings in an atomic system, scientists have demonstrated several iconic lattice models that exhibit non-trivial band topology in a controlled manner.
View Article and Find Full Text PDFThe power of machine learning (ML) provides the possibility of analyzing experimental measurements with a high sensitivity. However, it still remains challenging to probe the subtle effects directly related to physical observables and to understand physics behind from ordinary experimental data using ML. Here, we introduce a heuristic machinery by using machine learning analysis.
View Article and Find Full Text PDFRSC Adv
September 2019
Mxene has been widely used as a sorbent to remove heavy metal ions from sewage due to its unique two-dimensional layered structure and abundant oxygen-containing groups. However, Mxene has a relatively limited adsorption capacity for metal ions possibly due to the limited adsorption active sites. Herein, we reported novel Mxene/alginate composites for lead and copper ion removal from wastewater.
View Article and Find Full Text PDFThe collective dipole mode is induced and measured in a spin-orbit (SO) coupled degenerate Fermi gas of Yb atoms. Using a differential optical Stark shift, we split the degeneracy of three hyperfine states in the ground manifold, and independently couple consecutive spin states with the equal Raman transitions. A relatively long-lived spin-orbit-coupled Fermi gas, readily being realized with a narrow optical transition, allows to explore a single-minimum dispersion where three minima of spin-1 system merge into and to monitor collective dipole modes of fermions in the strong coupling regime.
View Article and Find Full Text PDFJ Colloid Interface Sci
November 2018
A Novel glutathione-protected gold nanocluster (Au-GSH NC) decorated CdS photocatalyst was prepared using a chemical self-assembly method. After the photocatalyst was decorated with Au-GSH NCs, the photocatalytic activity and photostability of CdS were remarkably enhanced. Compared to pure CdS, the as-prepared CdS-Pt-Au photocatalyst exhibited 9 times of photocurrent and 2.
View Article and Find Full Text PDFSymmetry plays a fundamental role in understanding complex quantum matter, particularly in classifying topological quantum phases, which have attracted great interests in the recent decade. An outstanding example is the time-reversal invariant topological insulator, a symmetry-protected topological (SPT) phase in the symplectic class of the Altland-Zirnbauer classification. We report the observation for ultracold atoms of a noninteracting SPT band in a one-dimensional optical lattice and study quench dynamics between topologically distinct regimes.
View Article and Find Full Text PDFGuang Pu Xue Yu Guang Pu Fen Xi
November 2016
Spectral reflectance data quality is important for computer color matching. There are two existing methods for evaluating the quality—spectral reflectance method and K/S method, which are too complex to apply. In this paper, 45°/0° and d/8° geometric conditions are used in the measurement of spectral reflectance of the offset ink samples printed on coated paper and silver-foiled paper while improvement on the geometric condition is made on the basis of the spectral reflectance method.
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