In the context of an aging population, the concept of peaceful end-of-life care has gained increasing significance as an essential component of individuals\' fundamental well-being. This underscores the importance of researching and developing hospice care facilities and service systems dedicated to providing a tranquil resting environment. This study focuses on selected hospice care buildings, examining their service model evolution and architectural design. Through case analyses, it explores contemporary hospice care architecture, identifying various types and spatial design features that cater to the end-of-life needs of individuals. The findings guide the design of hospice care buildings in China, emphasizing patient-living areas, medical care zones, and auxiliary functional spaces. This comprehensive approach aims to enhance terminally ill patients\' comfort, serenity, and dignity. Moreover, it aims to provide emotional and post-funeral support to terminally ill patients\' families.

OBJECTIVE: Explore an accurate transosseous tunnel drilling method based on three-dimensional (3D) printing technology for acromioclavicular joint reconstruction (ACD), design a guide design, and evaluate its accuracy.
METHODS: Using Mimics software to reconstruct 100 cases of acromioclavicular joint computed tomography (CT) data. In design 2, the non-collinear tunnel is superimposed on the 3D model, and a virtual drilling is performed between the clavicle and the coracoid using a triple inner gusset. Then, in the Geomagic Studio software model, an elliptical plane is calculated and extracted as a guide design for precise drilling. Then put the design and the 3D shoulder model together for 3D printing. Ten lengths were measured, and the effects of the virtual model, the actual model, and the guide rail design were compared.
RESULTS: We successfully compared 10 parameters of 3D virtual model and actual model. There was no significant difference between actual and virtual bone tunnels in 10 measurements (P > 0.05).
CONCLUSIONS: The accuracy of ACD combined with 3D printing guidance design technology in the transosseous tunnel of adult shoulder is reliable.

The design of optimal guide RNA (gRNA) sequences for CRISPR systems is challenged by the need to achieve highly efficient editing at the desired location (on-target editing) with minimal editing at unintended locations (off-target editing). Although laboratory validation should ideally be used to detect off-target activity, computational predictions are almost always preferred in practice due to their speed and low cost. Several studies have therefore explored gRNA-DNA interactions in order to understand how CRISPR complexes select their genomic targets. CHOPCHOP (https://chopchop.cbu.uib.no/) leverages these developments to build a user-friendly web interface that helps users design optimal gRNAs. CHOPCHOP supports a wide range of CRISPR applications, including gene knock-out, sequence knock-in, and RNA knock-down. Furthermore, CHOPCHOP offers visualization that enables an informed choice of gRNAs and supports experimental validation. In these protocols, we describe the best practices for gRNA design using CHOPCHOP. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Design of gRNAs for gene knock-out Alternate Protocol 1: Design of gRNAs for dCas9 fusion/effector targeting Support Protocol: Design of gRNAs for targeting transgenic or plasmid sequences Basic Protocol 2: Design of gRNAs for RNA targeting Basic Protocol 3: Design of gRNAs for sequence knock-in Alternate Protocol 2: Design of gRNAs for knock-in using non-homologous end joining Basic Protocol 4: Design of gRNAs for knock-in using Cas9 nickases.

BACKGROUND: CRISPR-based systems are playing an important role in modern genome engineering. A large number of computational methods have been developed to assist in the identification of suitable guides. However, there is only limited overlap between the guides that each tool identifies. This can motivate further development, but also raises the question of whether it is possible to combine existing tools to improve guide design.
RESULTS: We considered nine leading guide design tools, and their output when tested using two sets of guides for which experimental validation data is available. We found that consensus approaches were able to outperform individual tools. The best performance (with a precision of up to 0.912) was obtained when combining four of the tools and accepting all guides selected by at least three of them.
CONCLUSIONS: These results can be used to improve CRISPR-based studies, but also to guide further tool development. However, they only provide a short-term solution as the time and computational resources required to run four tools may be impractical in certain applications.