Hong Kong Association of Registered Tour Co-ordinators

In user-generated-content (UGC) applications, non-expert users often rely on image-to-3D generative models to create 3D assets. In this context, primitive-based shape abstraction offers a promising solution for UGC scenarios by compressing high-resolution meshes into compact, editable representations. Towards this end, effective shape abstraction must therefore be structure-aware, characterized by low overlap between primitives, part-aware alignment, and primitive compactness. We present Light-SQ, a novel superquadric-based optimization framework that explicitly emphasizes structure-awareness from three aspects. (a) We introduce SDF carving to iteratively udpate the target signed distance field, discouraging overlap between primitives. (b) We propose a block-regrow-fill strategy guided by structure-aware volumetric decomposition, enabling structural partitioning to drive primitive placement. (c) We implement adaptive residual pruning based on SDF update history to surpress over-segmentation and ensure compact results. In addition, Light-SQ supports multiscale fitting, enabling localized refinement to preserve fine geometric details. To evaluate our method, we introduce 3DGen-Prim, a benchmark extending 3DGen-Bench with new metrics for both reconstruction quality and primitive-level editability. Extensive experiments demonstrate that Light-SQ enables efficient, high-fidelity, and editable shape abstraction with superquadrics for complex generated geometry, advancing the feasibility of 3D UGC creation. Project Page: https://johann.wang/Light-SQ/ .

This article proposes a novel calibration framework for a multiview microscopic 3-D measurement system comprising multiple tilted-cameras with the Scheimpflug condition and one vertical projector. Conventionally, the accurate and independent point correspondences between images and planar targets achieve successful calibration. However, affected by our system's large imaging magnification and anisotropic perspectivity, targets’ poses must be limited in the shallow common focus volume to ensure correspondences’ extracting accuracy of all views. This imaging constraint will lead to insufficiently independent correspondences in calibration computation, where constraints will be insufficient in parameter estimation (under-constraint problems) and bundle adjustment (falling in local optima caused by ambiguous models). To this end, our method first relies on insufficiently independent correspondences to tackle the above problems. In calibrating multiple tilted-cameras, the proposed initialization method incorporates the lens equation as an additional constraint to solve the under-constraint problem. The subsequent multicamera bundle adjustment disambiguates by stereo constraints. Moreover, for the vertical projector, another novel unconventional calibration method utilizes geometric constraints to determine its projection matrix. The experiments prove that the estimation and optimization of parameters for multiple tilted-cameras are significantly enhanced with the smallest reprojection error near 0.1 pixel. In addition, the 3-D measurement result of the standard concentric cylinders has also been applied to demonstrate the accuracy of the vertical projector calibration and the whole calibration framework.

Advanced genomic techniques have now been incorporated into diagnostic practice in neuro-oncology in the literature. However, these assays are expensive and time-consuming and demand bioinformatics expertise for data interpretation. In contrast, single-gene tests can be run much more cheaply, with a short turnaround time, and are available in general pathology laboratories. The objective of this study was to establish a molecular grading scheme for adult gliomas using combinations of commonly available single-gene tests. We retrospectively evaluated molecular diagnostic data of 1,275 cases of adult diffuse gliomas from three institutions where we were testing for IDH1/2 mutation, TERTp mutation, 1p19q codeletion, EGFR amplification, 10q deletion, BRAF V600E, and H3 mutations liberally in our regular diagnostic workup. We found that a molecular grading scheme of Group 1 (1p19q codeleted, IDH mutant), Group 2 (IDH mutant, 1p19q non-deleted, TERT mutant), Group 3 (IDH mutant, 1p19q non-deleted, TERT wild type), Group 4 (IDH wild type, BRAF mutant), Group 5 (IDH wild type, BRAF wild type and not possessing the criteria of Group 6), and Group 6 (IDH wild type, and any one of TERT mutant, EGFR amplification, 10q deletion, or H3 mutant) could significantly stratify this large cohort of gliomas for risk. A total of 1,028 (80.6%) cases were thus classifiable with sufficient molecular data. There were 270 cases of molecular Group 1, 59 cases of molecular Group 2, 248 cases of molecular Group 3, 27 cases of molecular Group 4, 117 cases of molecular Group 5, and 307 cases of molecular Group 6. The molecular groups were independent prognosticators by multivariate analyses and in specific instances, superseded conventional histological grades. We were also able to validate the usefulness of the Groups with a cohort retrieved from The Cancer Genome Atlas (TCGA) where similar molecular tests were liberally available. We conclude that a single-gene molecular stratification system, useful for fine prognostication, is feasible and can be adopted by a general pathology laboratory.

Mentoring nurses in writing for nursing excellence.

Abstract Due to greenhouse gas emission restrictions and environmental protection requirements, the treatment of SO2 and Perfluorinated compound gas has become a problem in the aluminum electrolysis industry. Based on the density functional theory, the adsorption mechanisms of SO2 and CF4 on the surface of clean α‐Al2O3 (0001) were studied. Using projected augmented wave/Perdew‐Burke‐Ernzerhof for calculation, it can be found that SO2 is adsorbed to form an AlO1SO2 structure, and the most stable adsorption energy is −1.52 eV. The adsorption of SO2 is mainly due to the action of π‐p orbitals and the partial contribution of sp2 hybrid orbitals and s orbitals. The most stable adsorption energy of CF4 is −0.38 eV, and it is difficult to transfer charge on the surface. Overall, SO2 is chemisorbed on the clean surface, while CF4 is physisorbed, and their coadsorption with H2O is disadvantageous to the adsorption reaction. These results are very important for understanding the adsorption mechanism of CF4 and SO2 on alumina.

Land surface window emissivity is a key parameter for estimating the longwave radiative budget. The combined radiative transfer model (RM) with neural network (NN) algorithm is utilized to directly estimate the window (8-12 um) emissivity from the brightness temperature of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) with 90 m spatial resolution. Although the estimation accuracy is very high when the broadband emissivity is estimated from AST05 (ASTER Standard Data Product) by using regression method, the accuracy of AST05 is about ± 0.015 for 86 spectra which is determined by the atmosphere correction for ASTER 1B data. The MODTRAN 4 is used to simulate the process of radiance transfer, and the broadband emissivity is directly estimated from the brightness temperature of ASTER 1B data at satellite. The comparison analysis indicates that the RM-NN is more competent to estimate broadband emissivity than other method when the brightness temperatures of band 11, 12, 13, 14 are made as input nodes of dynamic neural network. The estimation average accuracy is about 0.009, and the estimation results are not sensitive to instrument noise. The RM-NN is applied to extract broadband emissivity from an image of ASTER 1B data in China, and the comparison against a classification based multiple bands with 15 m spatial resolution shows that the estimation results from RM-NN are very good.

The importance of monitoring and evaluation for mental health service planning and delivery is indubitable. Notwithstanding, monitoring and evaluation of mental health policy and plans has received only limited attention. This paper presents an approach developed by the World Health Organization for monitoring mental health policy and plans that can be adapted and utilized for evaluation and monitoring of policy and plans in most other health spheres as well. Four critical areas are outlined i.e., evaluation of the policy document and the plan derived from it; monitoring the implementation of the strategic plan; evaluation of the implementation of the plan; and evaluation of whether the objectives of the policy have been achieved. Overcoming difficulties in objective assessment of policy documents and plans is discussed and two WHO checklists for evaluating the process, content and operational aspects of policies and plans are introduced together with a five step guidance process for conducting policy and plan evaluations.

To describe some of the characteristics of men who underwent a vasectomy in the public health network of Campinas, São Paulo, Brazil. A descriptive study including 202 men randomly selected from a list of all the men vasectomized between 1998 and 2004 in the public health network. Most of the men were 30 years of age or older when vasectomized, had completed elementary school and had two or more children of both sexes. Most of the men came from the lowest income segment of the population: 47.6% in 1998-1999 and 61.3% in 2003-2004. Although the men knew various contraceptive methods, 51.2% reported that their partners were using combined oral contraceptives at the time of surgery. Most men initially sought information on vasectomy at health-care clinics where care was provided by a multidisciplinary team; most received counselling, however, 47.9% of the men waited more than 4 months for the vasectomy. The profile of the vasectomized men in this study appears to indicate that the low-income population from Campinas, São Paulo, Brazil has access to vasectomy; however, the waiting time for vasectomy reveals that difficulties exist in obtaining this contraceptive method in the public health service.