This study investigated the effect of the excipients, including glycine, mannitol, arginine, trehalose, sorbitol, and poloxamer188, on the stability of recombinant human fibroblast growth factor 21(FGF21) during the process of lyophilization and storage. The glass transition temperature (T), protein secondary structure, aggregation ratio, and the bioactivity of lyophilized FGF21 were measured. We furthermore investigated the effect of FGF21 against ischemia cerebral injury using the middle cerebral artery occlusion (MCAO) model in rats. The ischemia cerebral injury of MCAO rats was analyzed via 2,3,5-triphenyltetrazolium chloride and Nissl-staining. Endoplasmic reticulum (ER) stress related proteins were detected via Western blot. In this study, we found that aggregation was the primary mode of deterioration of lyophilized FGF21under accelerated storage conditions. Mannitol combined with trehalose and glycine formulations offers the most effective protein protection to reduce the aggregation. Administration of FGF21 protected cerebral ischemia and decreased ER stress related proteins in MCAO rats and PC12 cells.
This article proposes ESA, a new unsupervised approach to word segmentation. ESA is an iterative process consisting of 3 phases: Evaluation, Selection, and Adjustment. In Evaluation, both certainty and uncertainty of character sequence co-occurrence in corpora are considered as the statistical evidence supporting goodness measurement. Additionally, the statistical data of character sequences with various lengths become comparable with each other by using a simple process called Balancing. In Selection, a local maximum strategy is adopted without thresholds, and the strategy can be implemented with dynamic programming. In Adjustment, a part of the statistical data is updated to improve successive results. In our experiment, ESA was evaluated on the SIGHAN Bakeoff-2 data set. The results suggest that ESA is effective on Chinese corpora. It is noteworthy that the F-measures of the results are basically monotone increasing and can rapidly converge to relatively high values. Furthermore, the empirical formulae based on the results can be used to predict the parameter in ESA to avoid parameter estimation that is usually time-consuming.
Hemophilia is caused by a lack of antihemophilic factor(s), for example, factor VIII (FVIII; hemophilia A) and factor IX (FIX; hemophilia B). Low bone mass is widely reported in epidemiological studies of hemophilia, and patients with hemophilia are at an increased risk of fracture. The detailed etiology of bone homeostasis imbalance in hemophilia is unclear. Clinical and experimental studies show that FVIII and FIX are involved in bone remodeling. However, it is likely that antihemophilic factors affect bone biology through thrombin pathways rather than via their own intrinsic properties. In addition, among patients with hemophilia, there are pathophysiological processes in several systems that might contribute to bone loss. This review summarizes studies on the association between hemophilia and bone remodeling, and might shed light on the challenges facing the care and prevention of osteoporosis and fracture in patients with hemophilia.
Sentiment analysis of online reviews and other user generated content is an important research problem for its wide range of applications. In this paper, we propose a feature-based vector model and a novel weighting algorithm for sentiment analysis of Chinese product reviews. Specifically, an opinionated document is modeled by a set of feature-based vectors and corresponding weights. Different from previous work, our model considers modifying relationships between words and contains rich sentiment strength descriptions which are represented by adverbs of degree and punctuations. Dependency parsing is applied to construct the feature vectors. A novel feature weighting algorithm is proposed for supervised sentiment classification based on rich sentiment strength related information. The experimental results demonstrate the effectiveness of the proposed method compared with a state of the art method using term level weighting algorithms.
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