Integrating failure documentation with A3 template to improve product design quality

Design quality always has great impact on the competitive attribution of companies. Knowledge Management has become an important process which could help companies to accumulate the knowledge created in the past, and use it to solve the current problem and for future use. Failure Mode and Effect Analysis (FMEA) has been widely implemented as a technique for identifying potential problems, whilst A3 Thinking, has been developed by Toyota as a tool to help solve problems. However, no research exists regarding integrating these strategies for the purposes of knowledge creation, capturing and provision. This research focuses on integrating an A3 Thinking Template and FMEA-based Failure Documentation which will be used to document the problem, solve the problem, allowing knowledge creation, capturing and provision. The objectives are to: (1) Synthesise the good practices of using FMEA and A3 thinking through a literature review; (2) Analyse the role and capability of FMEA and A3 thinking in capturing and communicating knowledge to support the generation of an improved design solution; (3) Design an integration between FMEA-based Failure Documentation and the A3 Thinking template for problem solving during the design stage to support knowledge visualisation and capturing in a dynamic manner; Then develop a checklist to present the knowledge captured; (4) Validate the integration via case study on product development process in collaborating company. The proposed integration of FMEA-based Failure Documentation and A3 Thinking template has 3 stages. Firstly, problems will be documented into FMEA-based Failure Documentation template. Secondly, the A3 Thinking template with its procedure will enable users to follow the instructions to find out the solution and correct the problem. And the solution and experience in problem solving, which is the knowledge, will be generated in A3 report to be provided to users for avoiding problem recurrence in future

Research on the Establishment of Provincial Characteristic Scenic Lines Based on GIS

China is entering a stage of rapid development. To ensure strategic development, more regions have begun to integrate and reconstruct regional spaces by strengthening their regional cooperation and focusing on top-level design. The scenic line is a physical space that integrates ecological landscape resources, cultural carriers, and industrial foundations into regional spaces. Its construction is of considerable importance for aggregating functions and supporting regional integration. Sichuan, China, has some of the most abundant bamboo resources worldwide, and the bamboo scenic line has Chinese characteristics. This study takes 12 areas suitable for bamboo growth in Sichuan Province as research objects using GIS technology combined with methods such as suitability evaluation. An ecological base layer, landscape pattern layer, facility foundation layer, and industrial development layer were developed as the four element layers, along with their influencing factors. The weights of the factors were assigned using the entropy method, and the cost path was analyzed for the resistance side, branch point, and context. A suitability evaluation system was constructed for the scenic line, and a provincial organic development pattern of “one point, two axes and three belts” was formed for the bamboo scenic line, which can provide guidance for planning and design

High-Fidelity 3D Face Generation from Natural Language Descriptions

Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. However, little research ever tapped into this task. We argue the major obstacle lies in 1) the lack of high-quality 3D face data with descriptive text annotation, and 2) the complex mapping relationship between descriptive language space and shape/appearance space. To solve these problems, we build Describe3D dataset, the first large-scale dataset with fine-grained text descriptions for text-to-3D face generation task. Then we propose a two-stage framework to first generate a 3D face that matches the concrete descriptions, then optimize the parameters in the 3D shape and texture space with abstract description to refine the 3D face model. Extensive experimental results show that our method can produce a faithful 3D face that conforms to the input descriptions with higher accuracy and quality than previous methods. The code and Describe3D dataset are released at https://github.com/zhuhao-nju/describe3d .Comment: Accepted to CVPR 202

Nrf2 Activation Enhances Muscular MCT1 Expression and Hypoxic Exercise Capacity

Introduction Skeletal muscle is the major producing and metabolizing site of lactic acid. A family of monocarboxylate transporter (MCT) proteins, especially MCT1 and MCT4, are involved in the lactate–pyruvate exchange and metabolism. Nuclear factor erythroid 2-related factor 2 (Nrf2) is a pivotal coordinator of antioxidant response and energy metabolism, and has been reported to associate with the physiological functions of the skeletal muscle. Methods In this study, C57BL/6 J mice were administrated with an Nrf2 activator, sulforaphane (SFN) before taking incremental treadmill exercise to exhaustion under hypoxia; then the effects of SFN on exercise endurance and molecular/biochemical makers of the skeletal muscle were evaluated. Results The results indicated that SFN pretreatment enhanced the exercise endurance under hypoxia. SFN not only increased the expressions of antioxidant genes and activity of antioxidant enzymes, but also significantly increased the mRNA and protein levels of MCT1 and CD147, but not MCT4. Moreover, the expressions of LDH-B and LDH activity of converting lactate into pyruvate, as well as citrate synthase activity were significantly higher, whereas the LDH activity of converting pyruvate into lactate and blood lactate level were remarkably lower in the SFN-exercise mice than those of the phosphate-buffered saline–exercise group. Furthermore, Atf3Δzip2 (the alternatively spliced isoform of activating transcription factor-3) mRNA was increased by the exercise and further potentiated by SFN. Conclusion These results show, for the first time, that SFN increases MCT1 expression in the skeletal muscle under acute hypoxic exercise and suggest that Nrf2 activation is a promising strategy to enhance exercise performance under hypoxia

A novel methyl pyridinium salt for the detection of water content in organic solvents

A novel pyridinium salt,TM was synthesized from 2,6-dimethylpyridin.TM exhibits pronounced negative solvatochromism and possesses high absorption spectral sensitivities to water content changes.TM could be used to measure the water content in organic solvents such as THF,1,4-dioxane,acetone,and methanol.The detection limit was 0.04% for THF.The calibration curve for the determination of water in THF was obtained.TM exhibited high selectivity and sensitivity in the absorbance detection of water in organic solvents

An Empirical Study of the Restoration Potential of Urban Deciduous Forest Space to Youth

Urban deciduous forests are an important ecological resource and seasonal landscape in the urban environment. However, in the abundant literature on how urban green space promotes human health and well-being, research on urban seasonal deciduous forests is limited. This study aimed to investigate the physiological and psychological recovery potential provided of urban deciduous forest space for youths and the spatial preferences of youths regarding such spaces. We recruited 120 participants to study the restorative potential of two typical urban deciduous forest landscape spaces (experimental groups) and one urban road environment (control group). The results showed that after 15 min of observation, the blood pressure (especially the diastolic blood pressure (p < 0.01)) and pulse of the deciduous forest trail setting (DFTS) group effectively decreased, and the restorative mood significantly increased. Regarding change in emotional parameters, the DFTS group scored higher on “interest” and significantly higher than the other two groups on positive emotion. The correlation results show that density and level are the key factors affecting spatial preferences regarding complex deciduous forests. An increase in density reduces the mood of re-laxation, and an increase in level decreases fatigue and interest. We suggest (1) constructing foot-paths in urban deciduous forests to reduce their spatial density as to improve the relaxation effect and (2) increasing landscape diversity according to the forest space to facilitate user participation and interest. This study provides a scientific basis for the environmental restoration of deciduous landscapes and for urban forestry management decision-makers based on space type construction