Unbiased Directed Object Attention Graph for Object Navigation

Object navigation tasks require agents to locate specific objects in unknown environments based on visual information. Previously, graph convolutions were used to implicitly explore the relationships between objects. However, due to differences in visibility among objects, it is easy to generate biases in object attention. Thus, in this paper, we propose a directed object attention (DOA) graph to guide the agent in explicitly learning the attention relationships between objects, thereby reducing the object attention bias. In particular, we use the DOA graph to perform unbiased adaptive object attention (UAOA) on the object features and unbiased adaptive image attention (UAIA) on the raw images, respectively. To distinguish features in different branches, a concise adaptive branch energy distribution (ABED) method is proposed. We assess our methods on the AI2-Thor dataset. Compared with the state-of-the-art (SOTA) method, our method reports 7.4%, 8.1% and 17.6% increase in success rate (SR), success weighted by path length (SPL) and success weighted by action efficiency (SAE), respectively.Comment: 13 pages, ready to ACM Mutimedia, under revie

A practical guide to promote informatics-driven efficient biotopographic material development

Micro/nano topographic structures have shown great utility in many biomedical areas including cell therapies, tissue engineering, and implantable devices. Computer-assisted informatics methods hold great promise for the design of topographic structures with targeted properties for a specific medical application. To benefit from these methods, researchers and engineers require a highly reusable “one structural parameter – one set of cell responses” database. However, existing confounding factors in topographic cell culture devices seriously impede the acquisition of this kind of data. Through carefully dissecting the confounding factors and their possible reasons for emergence, we developed corresponding guideline requirements for topographic cell culture device development to remove or control the influence of such factors. Based on these requirements, we then suggested potential strategies to meet them. In this work, we also experimentally demonstrated a topographic cell culture device with controlled confounding factors based on these guideline requirements and corresponding strategies. A “guideline for the development of topographic cell culture devices” was summarized to instruct researchers to develop topographic cell culture devices with the confounding factors removed or well controlled. This guideline aims to promote the establishment of a highly reusable “one structural parameter – one set of cell responses” database that could facilitate the application of informatics methods, such as artificial intelligence, in the rational design of future biotopographic structures with high efficacy

Immunomodulatory effects of mesoporous silica nanoparticles on osteogenesis: From nanoimmunotoxicity to nanoimmunotherapy

The immune reaction towards nanomaterials has long been concerned for the safety issue. A con-cept “nanoimmunotoxicity” was generated accordingly to describe this deleterious immunomodulatoryeffects. In additional to the detrimental effects, immune response has also been proved to be an essentialcomponent of the biomaterials-mediated reconstruction of a functional tissue. In this study, we inves-tigate the immunomodualtory effects of mesoporous silica nanoparticles (MSNs) on macrophages andthe effects of the generated osteoimmune environment on bone marrow mesenchymal stromal cells. Itis found that macrophages could uptake MSNs and elicited significant effects on inhibiting the inflam-matory response, which could be due to the inhibition of Wnt5A/Ca2+pathway and the activation ofautophagy. Interestingly, the modulated immune environment enhanced the osteogenic differentiationof bone marrow mesenchymal stromal cells, leading to the increase of mineralized nodules and alka-line phosphatase activity. This suggests that the immunomodulatory effects of nanomaterials are notalways detrimental, but can be beneficial for tissue regeneration. In addition to the detrimental effects,the positive effects of nanomaterial-mediated immune response should be emphasized. The concept“nanoimmumotherpy” was proposed accordingly, and the paradigm on design nanomaterials should beshifted from “inert” to “immunomoluatory” to modulate an immune environment favourable for tissueregeneration and therapy

Immunomodulation-based development engineering for advancing metal soft tissue implants

Metal materials have been widely applied clinically due to their superior mechanical properties. However, the integration of metallic implants with surrounding soft tissue remains challenging and may lead to severe infections and failure of treatments. Development of natural exemplar suggests that the establishment of the soft tissue integration around hard surfaces is a complex scenario associated with the coordination of epithelial tissue, connective tissue and immune cells. In addition, the influence of the peri-implant immune microenvironment on soft tissue integration reparative process has received increasing attention. Given that the properties of the metal implant could effectively modulate immune response, it is predictable to regulate the immune microenvironment around metal implants for optimized soft tissue integration. This review firstly compared the establishment of natural biological hard surface-soft tissue integration with metal implants, in which the important role of epithelial tissue, connective tissue and immune cells were emphasized. Furthermore, up-to-date research outcomes in the closely connections between the immune microenvironment and soft tissue integration were discussed and summarized. From the view of natural soft-hard tissue integration development and reparative process, the immunomodulation-based strategy is proposed to manipulate the immune microenvironment for the enhancement of soft tissue-metal implant integration

A practical guide to promote informatics-driven efficient biotopographic material development

Micro/nano topographic structures have shown great utility in many biomedical areas including cell therapies, tissue engineering, and implantable devices. Computer-assisted informatics methods hold great promise for the design of topographic structures with targeted properties for a specific medical application. To benefit from these methods, researchers and engineers require a highly reusable “one structural parameter – one set of cell re-sponses” database. However, existing confounding factors in topographic cell culture devices seriously impede the acquisition of this kind of data. Through carefully dissecting the confounding factors and their possible reasons for emergence, we developed corresponding guideline requirements for topographic cell culture device development to remove or control the influence of such factors. Based on these requirements, we then suggested potential strategies to meet them. In this work, we also experimentally demonstrated a topographic cell culture device with controlled confounding factors based on these guideline requirements and corresponding strategies. A “guideline for the development of topographic cell culture devices” was summarized to instruct researchers to develop topographic cell culture devices with the confounding factors removed or well controlled. This guideline aims to promote the establishment of a highly reusable “one structural parameter – one set of cell responses” database that could facilitate the application of informatics methods, such as artificial intelligence, in the rational design of future biotopographic structures with high efficacy

A practical guide to promote informatics-driven efficient biotopographic material development

Micro/nano topographic structures have shown great utility in many biomedical areas including cell therapies, tissue engineering, and implantable devices. Computer-assisted informatics methods hold great promise for the design of topographic structures with targeted properties for a specific medical application. To benefit from these methods, researchers and engineers require a highly reusable “one structural parameter – one set of cell re-sponses” database. However, existing confounding factors in topographic cell culture devices seriously impede the acquisition of this kind of data. Through carefully dissecting the confounding factors and their possible reasons for emergence, we developed corresponding guideline requirements for topographic cell culture device development to remove or control the influence of such factors. Based on these requirements, we then suggested potential strategies to meet them. In this work, we also experimentally demonstrated a topographic cell culture device with controlled confounding factors based on these guideline requirements and corresponding strategies. A “guideline for the development of topographic cell culture devices” was summarized to instruct researchers to develop topographic cell culture devices with the confounding factors removed or well controlled. This guideline aims to promote the establishment of a highly reusable “one structural parameter – one set of cell responses” database that could facilitate the application of informatics methods, such as artificial intelligence, in the rational design of future biotopographic structures with high efficacy