Miracle-dz/UniFAR-FTUs huggingface dataset:
AN ENTROPIC PICTURE OF EMERGENT QUANTUM MECHANICS

Quantum mechanics emerges a la Verlinde from a foliation of ℝ3 by holographic screens, when regarding the latter as entropy reservoirs that a particle can exchange entropy with. This entropy is quantized in units of Boltzmann's constant kB. The holographic screens can be treated thermodynamically as stretched membranes. On that side of a holographic screen where spacetime has already emerged, the energy representation of thermodynamics gives rise to the usual quantum mechanics. A knowledge of the different surface densities of entropy flow across all screens is equivalent to a knowledge of the quantum-mechanical wavefunction on ℝ3. The entropy representation of thermodynamics, as applied to a screen, can be used to describe quantum mechanics in the absence of spacetime, that is, quantum mechanics beyond a holographic screen, where spacetime has not yet emerged. Our approach can be regarded as a formal derivation of Planck's constant ℏ from Boltzmann's constant kB.
A Hybrid Method of Frequency and Spatial Domain Techniques for TFT-LCD Circuits Defect Detection

Defect detection is a crucial but challenging task in thin film transistor liquid crystal display (TFT-LCD) manufacturing. Existing vision-based methods focus on either spatial domain or frequency domain with unsatisfactory detection. In view of that, this paper proposes a hybrid template matching method by drawing benefits from both frequency and spatial domain techniques. Under proposal, frequency domain template matching method and saliency detector method are firstly adopted separately to obtain two candidate frequency components associated with defects. In template matching process, a novel selection criterion is taken to improve identifying components associated with local spatial anomaly. Subsequently, the inverse Fourier transform is applied on the intersection of the two candidates to reconstruct the defect regions. In final steps, image entropy in the spatial domain is employed to filter out false detection regions to improve accuracy. To meet industry’s real-time inspection requirement, image partition and multi-threading calculation techniques are introduced into the proposed methodology. Experimental results have shown practical viability of the proposed approach to increase the yield rate of panels through robust defect detection in TFT-LCD manufacturing.
Higher Risk of Tumor Recurrence in NASH-Related Hepatocellular Carcinoma Following Curative Resection

Abstract Background: The outcomes for patients with NASH-related HCC after curative resection have not been clarified. This study compared the overall survival (OS), time-to-tumor recurrence (TTR), and recurrence-free survival (RFS) associated with NASH-related HCC and virus-related HCC after resection. Methods: Patients with HCC who underwent curative resection were retrospectively enrolled. Baseline characteristics, including disease etiologies and clinical and tumor features, were reviewed. The primary outcomes were OS, TTR, and RFS. Results: Two hundred and six patients were enrolled (HBV: n = 121, HCV: n = 54, NASH: n = 31). Of those with virus-related HCC, 84.0% achieved viral suppression. In both the overall and propensity-score-matched cohorts, those with NASH-related HCC experienced recurrence significantly earlier than those with virus-related HCC (median TTR: 1108 days vs. non-reached; p = 0.03). Through multivariate analysis, NASH-related HCC (hazard ratio (HR), 2.27; 95% confidence interval (CI), 1.25–4.12) was independently associated with early recurrence. The unadjusted RFS rate of the NASH-related HCC group was lower than the virus-related HCC group. There was no difference in the OS between the two groups. Conclusions: NASH-related HCC was associated with earlier tumor recurrence following curative resection compared to virus-related HCC. Post-surgical surveillance is crucial for detecting early recurrence in patients with NASH-related HCC.
A geometric theory of waves and its applications to plasma physics

Waves play an essential role in many aspects of plasma science, such as plasma manipulation and diagnostics. Due to the complexity of the governing equations, approximate models are often necessary to describe wave dynamics. In this dissertation, waves are treated as geometric objects of a variational theory rather than formal solutions of specific PDEs. This approach simplifies calculations, highlights the underlying wave symmetries, and leads to improved modeling of wave dynamics. This thesis presents two breakthroughs that were obtained in the general theory of waves. The first main contribution is an extension and reformulation of geometrical optics (GO) as a first-principle Lagrangian theory that correctly describes polarization effects, such as polarization precession and the polarization-driven bending of ray trajectories, which appear as leading-order corrections to GO. The theory was applied to several systems of interest, such as relativistic spin-1/2 particles and radio-frequency waves in magnetized plasma. The second main contribution of this thesis is the development of a phase-space method to study basic properties of nonlinear wave--wave interactions. Specifically, I show that waves propagating in modulated media, both classical and quantum, can experience time-averaged refraction caused by effective ponderomotive forces on wave rays. This phenomenon is analogous to the ponderomotive effect encountered by charged particles in high-frequency electromagnetic fields. I also show that phase-space methods can be useful to study problems in the field of wave turbulence, such as the nonlinear interaction of high-frequency waves with large-scale structures. Overall, the results obtained can serve as a basis for future studies on more complex nonlinear wave--wave interactions, such as modulational instabilities in general wave ensembles or wave turbulence.
Modeling of the mechanical properties of fused deposition modeling (FDM) printed fiber reinforced thermoplastic composites by asymptotic homogenization

Fused deposition modeling (FDM) is a low-cost additive manufacturing method with moderate tolerances and high design flexibility. Ample studies are being undertaken for modeling the mechanical properties of FDM by using the Finite Element Method (FEM). The process technique of FDM results in anisotropic inner structures that are affected by the chosen manufacturing parameters. Moreover, composite filaments, such as fiber-reinforced polymers, have anisotropy even in filament form before FDM printing. These anisotropic effects are needed to be examined and incorporated for an adequate model. In order to speed up the design stage, we aim to prepare a practical method for simulating the mechanical properties of FDM-printed fiber-reinforced polymer composites. In this work, we computed the homogenized material properties for various fiber lengths, fiber volume percentages, and fiber orientations by asymptotic homogenization at the microscale. Then, mesoscale simulations are carried out through FEM simulations by incorporating the influences of process parameters. In this way, we demonstrate the effect of various micro- and mesostructural features on the homogenized properties step by step.
Low energy bounds on Poincaré violation in causal set theory

In the causal set approach to quantum gravity, Poincare symmetry is modified by swerving in spacetime, induced by the random lattice discretization of the spacetime structure. The broken translational symmetry at short distances is argued to lead to a residual diffusion in momentum space, whereby a particle can acquire energy and momentum by drift along its mass shell and a system in equilibrium can spontaneously heat up. We consider bounds on the rate of momentum space diffusion coming from astrophysical molecular clouds, nuclear stability and cosmological neutrino background. We find that the strongest limits come from relic neutrinos, which we estimate to constrain the momentum space diffusion constant by k 0.01 eV, improving the previously quoted bounds by roughly 17 orders of magnitude.
BIHAM–MIDDLETON–LEVINE TRAFFIC MODEL WITH ORIGIN-DESTINATION TRIPS

We extended the Biham–Middleton–Levine model to incorporate the origin and destination effect of drivers trips on the traffic in cities. The destination sites are randomly chosen from some origin-destination distances probability distribution "ODDPD. " We use three different distributions: exponential, uniform, and power-law. We found that the traffic dynamics of the model are greatly influenced by the ODDPD. Moreover, it is found that we can adjust the ODDPD to enhance the road capacity of the city and to minimize the arrival times of drivers.
Topological minimally entangled states via geometric measure

Here we show how the Minimally Entangled States (MES) of a 2d system with topological order can be identified using the geometric measure of entanglement. We show this by minimizing this measure for the doubled semion, doubled Fibonacci and toric code models on a torus with non-trivial topological partitions. Our calculations are done either quasi-exactly for small system sizes, or using the tensor network approach in Orús et al (arXiv:1406.0585) for large sizes. As a byproduct of our methods, we see that the minimisation of the geometric entanglement can also determine the number of Abelian quasiparticle excitations in a given model. The results in this paper provide a very efficient and accurate way of extracting the full topological information of a 2d quantum lattice model from the multipartite entanglement structure of its ground states.
Global space-group optimization problem : Finding the stablest crystal structure without constraints

Finding the most stable structure of a solid is one of the central problems in condensed matter physics. This entails finding both the lattice type e.g., fcc, bcc, and orthorhombic and for compounds the decoration of the lattice sites by atoms of types A, B, etc. “configuration” . Most approaches to this problem either assumed that both lattice type and configuration are known, optimizing instead the cell volume and performing local relaxation. Other approaches assumed that the lattice type is known, searching for the minimum-energy decoration. We present here an approach to the global space-group optimization GSGO problem, i.e., the problem of predicting both the lattice structure and the atomic configuration of a crystalline solid. This search method is based on an evolutionary algorithm within which a population of crystal structures is evolved through mating and mutation operations, improving the population by substituting the highest total-energy structures with new ones. The crystal structures are not represented by bit strings as in conventional genetic algorithms. Instead, the evolutionary search is performed directly on the atomic positions and the unit-cell vectors after a similarity transformation is applied to bring structures of different unit-cell shapes to a common basis. Following this transformation, we can define a crossover operation that treats, on the same footing, structures with different unit-cell shapes. Once a new structure has been generated by mating or mutation, it is fully relaxed to the closest local total-energy minimum. We applied our procedure for the GSGO in the context of pseudopotential total-energy calculations to the semiconductor systems Si, SiC, and GaAs and to the metallic alloy AuPd with composition Au8Pd4. Starting from random unit-cell vectors and random atomic positions, the present search procedure found for all semiconductor systems studied the correct lattice structure and configuration. In the case of Au8Pd4, the search retrieved the correct underlying fcc lattice, but energetically closely spaced 2 meV/at. alloy configurations were not resolved. This approach to GSGO opens the way to predicting unsuspected structures by direct optimization using, in the cases noted above, an order of 100 total-energy ab initio calculations.
How Do Fresh Live Broadcast Impact Consumers’ Purchase Intention? Based on the SOR Theory

During the COVID-19 pandemic, fresh live broadcasting has been widely present in consumers’ daily lives but has been scarcely examined in academic research. The major purpose of the current study is to examine how fresh live broadcast features (visibility, interactivity, and authenticity) impact consumers’ willingness to buy through consumers’ perceived value and perceived trust based on the stimulus–organism-response theory. A total of 307 Chinese webcast users participated in this study. The data were collected through an online questionnaire survey and analyzed by SPSS and Amos software. The findings discovered that the fresh live broadcast features positively impact consumers’ perceived utility value and trust, and the visibility and interactivity enhance the perceived hedonistic value of consumers. Moreover, perceived value and perceived trust mediate between fresh live broadcast features and consumers’ willingness to buy. This study emphasizes the important role of fresh live features and provides insight for fresh sellers to increase consumer willingness to buy based on the perspective of consumers’ perceived value and trust.
Plasmon-Enhanced Nonlinear Wave Mixing in Nanostructured Graphene

Localized plasmons in metallic nanostructures have been widely used to enhance nonlinear optical effects due to their ability to concentrate and enhance light down to extreme-subwavelength scales. As alternatives to noble metal nanoparticles, graphene nanostructures can host long-lived plasmons that efficiently couple to light and are actively tunable via electrical doping. Here we show that doped graphene nanoislands present unique opportunities for enhancing nonlinear optical wave-mixing processes between two externally applied optical fields at the nanoscale. These small islands can support pronounced plasmons at multiple frequencies, resulting in extraordinarily high wave-mixing susceptibilities when one or more of the input or output frequencies coincide with a plasmon resonance. By varying the doping charge density in a nanoisland with a fixed geometry, enhanced wave mixing can be realized over a wide spectral range in the visible and near-infrared. We concentrate, in particular, on second- and thir.
Implication of the 750 GeV diphoton resonance on two-Higgs-doublet model and its extensions with Higgs field

We examine the implication of the 750 GeV diphoton resonance on the two-Higgs-doublet model imposing various theoretical and experimental constraints. The production rate of two-Higgs-doublet model is smaller than the cross section observed at the LHC by two order magnitude. In order to accommodate the 750 GeV diphoton resonance, we extend the two-Higgs-doublet model by introducing additional Higgs fields, and focus on two different extensions, an inert complex Higgs triplet and a real scalar septuplet. With the 125 GeV Higgs being agreement with the observed data, the production rate for the 750 GeV diphoton resonance can be enhanced to 0.6 fb for the former and 4.5 fb for the latter. The results of the latter are well consistent with the 750 GeV diphoton excess at the LHC.
Molecular cloning and expression of the mouse translation initiation factor eIF-1 A

Prior to determining the molecular basis for the transient increase in expression of eIF-1A during the 2-cell stage of the pre-implantation mouse embryo, we determined the sequence of full-length cDNA and defined properties of the genomic organization of the mouse eIF-1A gene. Northern blot analysis distinguishes three transcripts in mouse liver of 2.8, 2.2 and 1.9 kb in size. The three transcripts arise from initiation at two putative promoters separated by 627 bp. Initiation from the putative distal promoter yields both the 2.8 and 1.9 kb transcripts, in which the 1.9 kb transcript is generated by alternative splicing of 840 bp of intervening RNA. The putative distal promoter, which lacks both a TATA box and CCAAT box control elements but contains several GC-rich clusters, initiates transcription at two start sites that are separated by 30 bp. Thus, four transcripts are generated from the distal promoter. The putative proximal promoter that directs transcription of a single 2.2 kb mRNA is preceded by a TATA box element that binds TBP. Each of the promoters is used by the pre-implantation mouse embryo, since we have been able to amplify selectively each of the five individual eIF-1A transcripts initiated from each promoter and start site in the 2-cell mouse embryo.
A no-short scalar hair theorem for rotating Kerr black holes

If a black hole has hair, how short can this hair be? A partial answer to this intriguing question was recently provided by the ‘no-short hair’ theorem which asserts that the external fields of a spherically symmetric electrically neutral hairy black-hole configuration must extend beyond the null circular geodesic which characterizes the corresponding black-hole spacetime. One naturally wonders whether the no-short hair inequality r hair > r null is a generic property of all electrically neutral hairy black-hole spacetimes. In this paper we provide evidence that the answer to this interesting question may be positive. In particular, we prove that the recently discovered cloudy Kerr black-hole spacetimes—non-spherically symmetric non-static black holes which support linearized massive scalar fields in their exterior regions—also respect this no-short hair lower bound. Specifically, we analytically derive the lower bound r field / r + > r + / r − on the effective lengths of the external bound-state massive scalar clouds (here r field is the peak location of the stationary bound-state scalar fields and r± are the horizon radii of the black hole). Remarkably, this lower bound is universal in the sense that it is independent of the physical parameters (proper mass and angular harmonic indices) of the exterior scalar fields. Our results suggest that the lower bound r hair > r null may be a general property of asymptotically flat electrically neutral hairy black-hole configurations.
Biosorption of Azo Dye Reactive Black B onto Nonviable Biomass of Cladosporium cladosporioides LM1: Thermodynamic, Kinetic and Equilibrium Modeling

 Abstract — This study investigated the biosorption of the azo dye reactive Black B (RBB) from aqueous solution using the nonviable biomass of Cladosporium cladosporioides LM1. The biosorption systems were carried out in batch mode considering different conditions of initial pH, contact time, temperature, initial dye concentration and biosorbent dosage. Higher removal rate of RBB was obtained at pH 2. Biosorption data were successfully described by pseudo-second-order kinetic model and Langmuir isotherm model with the maximum monolayer biosorption capacity estimated at 71.43 mg/g. The values of thermodynamic parameters such as ∆ G °, ∆ H ° and ∆ S ° indicated that the biosorption of RBB onto fungal biomass was spontaneous and exothermic in nature. It can be concluded that nonviable biomass of Cladosporium cladosporioides LM1 may be an attractive low-cost biosorbent for the removal of azo dye RBB from aqueous
Starburst-driven Superwinds in Quasar Host Galaxies

During the past five decades astronomers have been puzzled by the presence of strong absorption features including metal lines, observed in the optical and ultraviolet spectra of quasars, signaling inflowing and outflowing gas winds with relative velocities up to several thousands of km s−1. In particular, the location of these winds—close to the quasar, further out in its host galaxy, or in its direct environment—and the possible impact on their surroundings have been issues of intense discussion and uncertainty. Using our Herschel Space Observatory data, we report a tendency for this so-called associated metal absorption to occur along with prodigious star formation in the quasar host galaxy, indicating that the two phenomena are likely to be interrelated, that the gas winds likely occur on the kiloparsec scale and would then have a strong impact on the interstellar medium of the galaxy. This correlation moreover would imply that the unusually high cold dust luminosities in these quasars are connected with ongoing star formation. Given that we find no correlation with the AGN strength, the wind feedback that we establish in these radio-loud objects is most likely associated with their host star formation rather than with their black hole accretion.
Das House-Kapital: A Theory of Wealth-to-Income Ratios

This paper provides a novel macroeconomic model that is specifically designed to investigate the evolution of housing wealth. To capture the importance of land as an input factor for housing production and for the evolution of wealth in a growing economy, the analysis builds on three premises: (1) the overall land endowment is fixed; (2) the production of new houses requires land as an essential input, whereas replacement investment does not; (3) land employed for real estate development must be permanently withdrawn from alternative uses. The calibrated model replicates the historical evolution of housing wealth after Word War II remarkably accurately and accounts for the close connection of house prices to land prices in the data. It suggests a considerable further increase in housing wealth, relative to income, that is associated with a future surge in land prices and house prices. The model also provides new insights into the dynamics of non-residential wealth.
OSSOS. XIII. Fossilized Resonant Dropouts Tentatively Confirm Neptune’s Migration Was Grainy and Slow

The migration of Neptune’s resonances through the proto–Kuiper Belt has been imprinted in the distribution of small bodies in the outer solar system. Here we analyze five published Neptune migration models in detail, focusing on the high pericenter distance (high-q) trans-Neptunian objects (TNOs) near Neptune’s 5:2 and 3:1 mean-motion resonances because they have large resonant populations, are outside the main classical belt, and are relatively isolated from other strong resonances. We compare the observationally biased output from these dynamical models with the detected TNOs from the Outer Solar System Origins Survey (OSSOS) via its Survey Simulator. All four of the new OSSOS detections of high-q nonresonant TNOs are on the sunward side of the 5:2 and 3:1 resonances. We show that even after accounting for observation biases, this asymmetric distribution cannot be drawn from a uniform distribution of TNOs at 2σ confidence. As shown by previous work, our analysis here tentatively confirms that the dynamical model that uses grainy slow Neptune migration provides the best match to the real high-q TNO orbital data. However, due to extreme observational biases, we have very few high-q TNO discoveries with which to statistically constrain the models. Thus, this analysis provides a framework for future comparison between the output from detailed, dynamically classified Neptune migration simulations and the TNO discoveries from future well-characterized surveys. We show that a deeper survey (to a limiting r-magnitude of 26.0) with a similar survey area to OSSOS could statistically distinguish between these five Neptune migration models.
Parameterizing the Supernova Engine and Its Effect on Remnants and Basic Yields

Core-collapse supernova science is now entering an era in which engine models are beginning to make both qualitative and, in some cases, quantitative predictions. Although the evidence in support of the convective engine for core-collapse supernova continues to grow, it is difficult to place quantitative constraints on this engine. Some studies have made specific predictions for the remnant distribution from the convective engine, but the results differ between different groups. Here we use a broad parameterization for the supernova engine to understand the differences between distinct studies. With this broader set of models, we place error bars on the remnant mass and basic yields from the uncertainties in the explosive engine. We find that, even with only three progenitors and a narrow range of explosion energies, we can produce a wide range of remnant masses and nucleosynthetic yields.