
3D morphable models (3DMMs) reconstruct the structure and appearance of 3D objects from 2D images, particularly human faces and bodies. Conventional 3DMM pipelines combine identity and expression blendshapes with a template mesh and are controlled by parameters such as shape, texture, illumination, and camera pose. However, many 3D human reconstruction methods focus on global facial geometry and make limited use of semantic facial cues such as age, gender, and landmark structure, characterising facial boundaries, curves, dips, and wrinkles. In order to adapt these high-level facial characteristics, this paper presents SARS, a shape- and appearance- aware modular reconstruction system that extracts face and body information from a single image and reconstructs a full body 3D human model. SARS improves the accuracy of semantic surface editing to capture expression-driven facial muscle deformation and appearance changes for different genders, while maintaining identity. SARS has three transformation modules. The first module estimates high-level facial attributes, including age, gender, and facial landmarks. The second module combines 3DMM expression coefficients, displacement maps, signed distance fields, and semantic facial features in a latent space to generate an identity-aware 3D face mesh. The third module uses the Skinned Multi-Person Linear model (SMPL) to extract high-level descriptors of the full body and based on these parameters, generates a 3D body model. A mesh fusion module then integrates the reconstructed face with the body mesh. Experiments on MICC, 3DPW, and EHF indicate that SARS improves facial detail and face-body continuity while maintaining competitive full-body reconstruction accuracy. Our code is available at https://github.com/gulraizk94/SARS_Integration.
Isothermal vacuum membrane-based air dehumidification (IMAD) has the potential to be several times more efficient than conventional refrigeration dehumidifiers. Common IMAD systems use a one-inlet compressor to create a vacuum for the membranes. During the dehumidification process, the supply air experiences a reduction in humidity. At the inlet, the partial pressure difference of moisture on the two sides of the membranes can be significantly larger than that at the outlet. To reduce this partial pressure difference at the inlet and improve efficiency, this paper proposes a novel IMAD system driven by a vapor injection compressor, which provides two levels of vacuum. Additionally, the dehumidifier utilizes gravity to remove non-condensable air, eliminating the need for a multiphase pump. The effects of the relative humidity and temperature of feed and retentate air, membrane selectivity, the minimum partial pressure difference across the membranes, and the condensing pressure are investigated. The results show that there is an optimal relative humidity of intermediate outlet retentate air, which is near the average relative humidity of the initial feed air and the final outlet air. The IMAD system can achieve a COP of 9.6 with 25℃/90%RH feed air and 25℃/40%RH final outlet air, which is 17.1% higher than that of a conventional one-inlet compressor.
This study examines whether acquiring firms incur lower premiums in mergers and acquisitions (M A) deals involving target firms reporting conservatively over the years preceding the deal. Using a sample of M A deals between U.S. publicly listed firms over the period 1985–2022, we find that the target’s conservative accounting is negatively associated with the takeover premium. We also find that the negative association between the target’s conservative accounting and the takeover premium holds only when the target’s ex ante information asymmetry is high. These findings suggest that the target’s conservative accounting protects acquirers from an overpayment by mitigating the adverse consequences of uncertainty about the target’s value arising from the target’s high ex ante information asymmetry. In further analysis, we show that the target’s conservative accounting is also associated with the shareholder wealth of target firms, as reflected by the stock market reaction to the announcement of M A deals. This study has important implications for accounting standard-setters regarding the informational role of accounting conservatism in the efficient allocation of economic resources in the M A market.
Hydrogen recombination lines provide key diagnostics of ionized gas in galaxies, yet most hydrodynamical simulations estimate hydrogen level populations using interpolated emissivity tables rather than computing them directly from local physical conditions. We present HyLight, a Python-based atomic model that calculates hydrogen level populations and line emissivities from the gas density, temperature, and ionization state, enabling accurate predictions in both equilibrium and non-equilibrium environments. Benchmark comparisons show that HyLight reproduces Cloudy predictions for Balmer, Paschen, and Brackett emissivities to within 1 per cent under typical photoionized nebular conditions, while discrepancies of several tens of per cent arise relative to other published calculations. As an illustrative application, we use HyLight to compute photoionization-to-line intensity ratios in an H ii nebula and generate synthetic hydrogen emission maps from a radiation-hydrodynamical simulation that includes non-equilibrium thermochemistry. Combining physical consistency with flexibility, HyLight provides a robust framework for connecting hydrodynamical simulations with observational diagnostics of photoionized regions, and enhances our ability to interpret hydrogen emission in complex, non-equilibrium astrophysical environments.
In this study, we examine the formulation of city-regions in post-reform China under state entrepreneurialism. While existing literature largely identifies city-regions as new and concrete scales of spatial governance and/or geographical agglomeration, it often overlooks their conceptualisation as economic imaginaries and the actors and constitutive knowledges involved in these efforts. To address this gap, we reveal the diversity of economic imaginaries constituting the Yangtze River Delta city-region, one of China's most prominent megaregions. We identify the emergence of three types of city-regional imaginaries, each rooted in distinct theoretical lineages, geopolitical rationalities and material practices: vertical ordering of competitiveness, horizontal ordering of balanced development and endogenous innovation. These imaginaries reflect conflicting interests and political tensions deeply embedded within the governance framework of state entrepreneurialism, where the state maintains a dominant role while leveraging market mechanisms to reconcile competing goals of growth, equity and sustainability. (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)((sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic))(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic):(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic), (sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic),(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic)(sic).