A sustainable way for apparel retailers' development : converting the supply chain into closed-loop. Case study : Min Boutique's jeans-recycle scheme

Confidential until 29 May 20162016-05-2

Do safety cases have a role in aircraft certification?

AbstractSafety cases, as a means of demonstrating system safety, have been increasingly used as the basis for system assurance, especially in safety or mission-critical systems in fields such as offshore installation, railway operations, nuclear plants, and air traffic control. Despite the increased adoption of safety cases in the aforementioned areas, the usage of safety arguments is still limited in the certification of a civil aircraft design. This paper provides 1) a brief overview of the key regulations and guidelines in support of aero-system certification especially at the development stage; 2) a review of the history, the essence, and the practice of safety cases; 3) an analysis of the role of processes and safety arguments in aircraft certification; and 4) recommendations on the future work in terms of further application of safety cases in aircraft certification

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning

Parameter regularization or allocation methods are effective in overcoming catastrophic forgetting in lifelong learning. However, they solve all tasks in a sequence uniformly and ignore the differences in the learning difficulty of different tasks. So parameter regularization methods face significant forgetting when learning a new task very different from learned tasks, and parameter allocation methods face unnecessary parameter overhead when learning simple tasks. In this paper, we propose the Parameter Allocation & Regularization (PAR), which adaptively select an appropriate strategy for each task from parameter allocation and regularization based on its learning difficulty. A task is easy for a model that has learned tasks related to it and vice versa. We propose a divergence estimation method based on the Nearest-Prototype distance to measure the task relatedness using only features of the new task. Moreover, we propose a time-efficient relatedness-aware sampling-based architecture search strategy to reduce the parameter overhead for allocation. Experimental results on multiple benchmarks demonstrate that, compared with SOTAs, our method is scalable and significantly reduces the model's redundancy while improving the model's performance. Further qualitative analysis indicates that PAR obtains reasonable task-relatedness.Comment: Accepted by CVPR2023. Code is available at https://github.com/WenjinW/PA

Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering

The pre-training-fine-tuning paradigm based on layout-aware multimodal pre-trained models has achieved significant progress on document image question answering. However, domain pre-training and task fine-tuning for additional visual, layout, and task modules prevent them from directly utilizing off-the-shelf instruction-tuning language foundation models, which have recently shown promising potential in zero-shot learning. Contrary to aligning language models to the domain of document image question answering, we align document image question answering to off-the-shell instruction-tuning language foundation models to utilize their zero-shot capability. Specifically, we propose layout and task aware instruction prompt called LATIN-Prompt, which consists of layout-aware document content and task-aware descriptions. The former recovers the layout information among text segments from OCR tools by appropriate spaces and line breaks. The latter ensures that the model generates answers that meet the requirements, especially format requirements, through a detailed description of task. Experimental results on three benchmarks show that LATIN-Prompt can improve the zero-shot performance of instruction-tuning language foundation models on document image question answering and help them achieve comparable levels to SOTAs based on the pre-training-fine-tuning paradigm. Quantitative analysis and qualitative analysis demonstrate the effectiveness of LATIN-Prompt. We provide the code in supplementary and will release the code to facilitate future research.Comment: Code is available at https://github.com/WenjinW/LATIN-Promp

Effect and safety of shengxuening (extract from excrement of bombyxin) for renal anemia: a systematic review

OBJECTIVETo assess the effect and safety of Shengxuening (SXN), extract from excrement of bombyxin, in the treatment of renal anemia, compared to ferrous succinate and ferrous sulfate.METHODSAccording to the participant, intervention, comparison, outcomes, study design (PICOS) principles, we searched the Chinese Biomedical Literature Database, China National Knowledge Infrastructure Database, Chinese Evidence-Based Medicine Database, Wanfang Database (From establishment to December 2014). Two reviewers selected articles independently according to the inclusion and exclusion criteria. The quality of included studies was assessed by using the Cochrane Handbook. All statistical analyses were conducted by using Revman (vision 5.2) software.RESULTSA total of 14 randomized controlled trials (RCTs) were enrolled in the review. The results revealed that, when compared with blank group, SXN significantly improved the hemoglobin (HB) levels [MD = 6.29, 95% CI (1.65–10.94), P < 0.0008] and albumin (ALB) [MD = 10.98, 95% CI (6.97–14.99), P < 0.00001]. In addition, SXN could significantly increase the HB levels [MD = 10.98, 95% CI (6.97, 14.99), P < 0.00001]. Compared with other oral medicine SXN could improve the HB levels effectively [MD = 8.49, 95% CI (2.40, 14.58), P = 0.006]. And the subgroups analysis shown that compared with ferrous-sulfate there were significant differences [MD = 17.4, 95% CI (15.06, 19.73), P < 0.000 01] and the result of ferrous-succinate had significant differences [MD = 5.34, 95% CI (2.12, 8.56), P = 0.001] too. Compared with Intravenous iron groups, there were statistical differences [MD = −5.04, 95% CI (−9.59, −0.50), P = 0.03]. In the safety analysis, the rate of adverse reactions in SXN groups and control groups were 19.3% and 3.7%, respectively (P < 0.000 01). Due to our studies were of poor methodological quality, and the sample size were small, the results were influenced by bias.CONCLUSIONSOur findings suggest that the SXN had better effect and was safer in the treatment of RA than ferrous succinate and ferrous sulfate