Chinese expert consensus on the diagnosis and treatment of balanoposthitis

Balanoposthitis(BP),a common male genitalia inflammation,is managed by clinicians from different specialties,including urology,pediatrics,dermatology,and venereology.Due to this diverse array of clinicians involved,there exists a lack of consistent,evidence-based recommendations for BP.The development of the consensus engaged 19 representative hospitals and it adhered to rigorous protocols,encompassing international registration(IPGRP-2021CN003)and the application of evidence grading criteria and recommendation standards[Appendix S1,Supplementary File,http://links.lww.com/CM9/C42].Over the period from December 2020 to October 2022,consensus on 12 clinical issues was reached through comprehensive evidence searches and two iterations of Delphi surveys[Supplementary File,http://links.lww.com/CM9/C42].

Iris:a multi-constraint graphic layout generation system

In graphic design,layout is a result of the interaction between the design elements in the foreground and background images.However,prevalent research focuses on enhancing the quality of layout generation algorithms,overlooking the interaction and controllability that are essential for designers when applying these methods in realworld situations.This paper proposes a user-centered layout design system,Iris,which provides designers with an interactive environment to expedite the workflow,and this environment encompasses the features of user-constraint specification,layout generation,custom editing,and final rendering.To satisfy the multiple constraints specified by designers,we introduce a novel generation model,multi-constraint LayoutVQ-VAE,for advancing layout generation under intra-and inter-domain constraints.Qualitative and quantitative experiments on our proposed model indicate that it outperforms or is comparable to prevalent state-of-the-art models in multiple aspects.User studies on Iris further demonstrate that the system significantly enhances design efficiency while achieving human-like layout designs.

UI layers merger: merging UI layers via visual learning and boundary prior

With the fast-growing graphical user interface(GUI)development workload in the Internet industry,some work attempted to generate maintainable front-end code from GUI screenshots.It can be more suitable for using user interface(UI)design drafts that contain UI metadata.However,fragmented layers inevitably appear in the UI design drafts,which greatly reduces the quality of the generated code.None of the existing automated GUI techniques detects and merges the fragmented layers to improve the accessibility of generated code.In this paper,we propose UI layers merger(UILM),a vision-based method that can automatically detect and merge fragmented layers into UI components.Our UILM contains the merging area detector(MAD)and a layer merging algorithm.The MAD incorporates the boundary prior knowledge to accurately detect the boundaries of UI components.Then,the layer merging algorithm can search for the associated layers within the components’boundaries and merge them into a whole.We present a dynamic data augmentation approach to boost the performance of MAD.We also construct a large-scale UI dataset for training the MAD and testing the performance of UILM.Experimental results show that the proposed method outperforms the best baseline regarding merging area detection and achieves decent layer merging accuracy.A user study on a real application also confirms the effectiveness of our UILM.

Clinical features of Chinese psoriatic patients for early referral of arthritis using psoriasis epidemiology screening tool:A cross-sectional analysis from the registry database of Chinese Psoriasis Standardized Diagnosis and Treatment Center

To the Editor:Psoriatic arthritis(PsA)is a type of arthritic condition that occurs in patients with psoriasis.Early identification of patients at risk and the knowledge of risk factors is crucial for dermatologists.The Chinese Psoriasis Standardized Diagnosis and Treatment Center(CPSDTC)registry database is a prospective,multicenter cohort study launched by the Peking University First Hospital in July 2020 to gather clinical information on Chinese patients with psoriasis.Our study aimed to report the clinical features of Chinese psoriatic patients using the Psoriasis Epidemiology Screening Tool(PEST)for the early referral of arthritis.

Sparse Representation over Shared Coefficients in Multispectral Pansharpening

The pansharpening process is for obtaining an enhanced image with both high spatial and high spectral resolutions by fusing a panchromatic（PAN） image and a low spatial resolution multispectral（MS） image. Sparse Principal Component Analysis（SPCA） method has been proposed as a pansharpening method, which utilizes sparse coefficients and over-complete dictionaries to represent the remote sensing data. However, this method still has some drawbacks, such as the existence of the block effect. In this paper, based on SPCA, we propose the Sparse over Shared Coefficients（SSC）, in which patches are extracted with a sliding distance of 1 pixel from a PAN image, and the MS image shares the sparse representation coefficients trained from the PAN image independently.The fused high-resolution MS image is reconstructed by K-SVD algorithm and iterations, and residual compensation is applied when the down-sampling constraint is not satisfied. The simulated experiment results demonstrate that the proposed SSC method outperforms SPCA and improves the overall effectiveness.