The compulation and classification of physical fitness, motor ability, and sports skills tests in physical education.

Thesis (Ed.M.)--Boston Universit

Early identification of important patents through network centrality

One of the most challenging problems in technological forecasting is to identify as early as possible those technologies that have the potential to lead to radical changes in our society. In this paper, we use the US patent citation network (1926-2010) to test our ability to early identify a list of historically significant patents through citation network analysis. We show that in order to effectively uncover these patents shortly after they are issued, we need to go beyond raw citation counts and take into account both the citation network topology and temporal information. In particular, an age-normalized measure of patent centrality, called rescaled PageRank, allows us to identify the significant patents earlier than citation count and PageRank score. In addition, we find that while high-impact patents tend to rely on other high-impact patents in a similar way as scientific papers, the patents' citation dynamics is significantly slower than that of papers, which makes the early identification of significant patents more challenging than that of significant papers.Comment: 14 page

Project ViTAL ViTAL (Vitality Through Active Living) Fijian project

Physical inactivity, along with other lifestyle-related health risk factors such as an unhealthy diet, is becoming increasingly prevalent in developing countries which face rapid economic and social development, urbanization and industrialization. The importance of physical activity as a means of NCD prevention and control is recognized in developing countries, as well as the need for suitable programmes, policies and guidelines. However, the evidence on implementing physical activity interventions in a developing country context is sparse. It is evident from research findings that encouraging participation in health-enhancing physical activity is a public health issue of urgent concern. A healthy revitalised community is one that is concerned about the well-being of the community, protection of the environment and investing into future generations. Research stresses that physical activity interventions carried out in developing countries include strategies to: • raise awareness of the importance and benefits of physical activity among the community, • educate the whole population and/or specific community groups, • conduct local physical activity programmes and initiatives; • build capacity among individuals implementing local physical activity programmes through training of potential programme coordinators; and • create supportive environments that facilitate participation in physical activity

A study of the relative stability of the motor quotient in the high school girl

Thesis (Ed.M.)--Boston Universit

State College Times, January 18, 1933

Volume 21, Issue 52https://scholarworks.sjsu.edu/spartandaily/12821/thumbnail.jp

Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy

Chimeric antigen receptor (CAR) T-cell therapy has produced remarkable anti-tumor responses in patients with B-cell malignancies. However, clonal kinetics and transcriptional programs that regulate the fate of CAR-T cells after infusion remain poorly understood. Here we perform TCRB sequencing, integration site analysis, and single-cell RNA sequencing (scRNA-seq) to profile CD8+ CAR-T cells from infusion products (IPs) and blood of patients undergoing CD19 CAR-T immunotherapy. TCRB sequencing shows that clonal diversity of CAR-T cells is highest in the IPs and declines following infusion. We observe clones that display distinct patterns of clonal kinetics, making variable contributions to the CAR-T cell pool after infusion. Although integration site does not appear to be a key driver of clonal kinetics, scRNA-seq demonstrates that clones that expand after infusion mainly originate from infused clusters with higher expression of cytotoxicity and proliferation genes. Thus, we uncover transcriptional programs associated with CAR-T cell behavior after infusion.Published versio

State College Times, March 2, 1933

Volume 21, Issue 78https://scholarworks.sjsu.edu/spartandaily/12846/thumbnail.jp

Non-linear Learning for Statistical Machine Translation

Modern statistical machine translation (SMT) systems usually use a linear combination of features to model the quality of each translation hypothesis. The linear combination assumes that all the features are in a linear relationship and constrains that each feature interacts with the rest features in an linear manner, which might limit the expressive power of the model and lead to a under-fit model on the current data. In this paper, we propose a non-linear modeling for the quality of translation hypotheses based on neural networks, which allows more complex interaction between features. A learning framework is presented for training the non-linear models. We also discuss possible heuristics in designing the network structure which may improve the non-linear learning performance. Experimental results show that with the basic features of a hierarchical phrase-based machine translation system, our method produce translations that are better than a linear model.Comment: submitted to a conferenc