Reducing COVID-19 Vaccine Hesitancy From a Decisional Conflict Model: A Cross-Sectional Study

Autor: Natsuko Hiroyama MSN, Noriko Okubo PhD, Nako Takahashi BN, Junko Misumi PhD

Publikováno v: Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 60 (2023)

Coronavirus disease 2019 (COVID-19) vaccine hesitancy is a major concern in this pandemic context. This study postulates that vaccine hesitancy among individuals might be associated with a high state of decisional conflict which indicates a state of

Externí odkaz: https://doaj.org/article/b5e507866e164f87939e121a0a0f102a

Lived experiences of women with memories of childbirth

Autor: Yumiko Suzuki, Noriko Okubo

Publikováno v: British Journal of Midwifery. 30:152-159

Background Few studies have explored women's experiences of the memories of childbirth. This study aimed to describe how women recall memories of childbirth in their daily life, in order to improve childbirth and postpartum care. Methods A descriptiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68496505ec3f2f4e14eb593afb83e772
https://doi.org/10.12968/bjom.2022.30.3.152

Identifying and Intervening in Child Maltreatment and Implementing Related National Guidelines by Public Health Nurses in Finland and Japan

Autor: Kayoko Suzuki, Eija Paavilainen, Mika Helminen, Aune Flinck, Natsuko Hiroyama, Taiko Hirose, Noriko Okubo, Motoko Okamitsu

Publikováno v: Nursing Research and Practice, Vol 2017 (2017)

Aim. This study aimed to investigate how public health nurses identify, intervene in, and implement the guidelines on child maltreatment in Finland and Japan and to compare the data between the two countries. Method. This study employed a cross-secti

Externí odkaz: https://doaj.org/article/39a5e174ff2049b4920a4967b2b1466e

Improving topic modeling through homophily for legal documents

Autor: Benjamin Renoust, Yuta Nakashima, Noriko Okubo, Kazuki Ashihara, Chenhui Chu, Cheikh Brahim El Vaigh, Hajime Nagahara, Noriko Takemura

Publikováno v: Applied Network Science
Applied Network Science, 2020, 5 (1), ⟨10.1007/s41109-020-00321-y⟩
Applied Network Science, Vol 5, Iss 1, Pp 1-20 (2020)
Applied Network Science, Springer, 2020, 5 (1), ⟨10.1007/s41109-020-00321-y⟩

Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The relevance of the modeled topics strongly depends on the legal context they are used in. On the other hand, references to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1158da5d4953f4b4a65aa73bff68dedd
https://hal.inria.fr/hal-02972344/document

Legal Information as a Complex Network: Improving Topic Modeling Through Homophily

Autor: Yuta Nakashima, Noriko Takemura, Kazuki Ashihara, Benjamin Renoust, Chenhui Chu, Noriko Okubo, Hajime Nagahara

Publikováno v: Complex Networks and Their Applications VIII ISBN: 9783030366827
COMPLEX NETWORKS (2)

Topic modeling is a key component to computational legal science. Network analysis is also very important to further understand the structure of references in legal documents. In this paper, we improve topic modeling for legal case documents by using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ab9d4e9cffd031b275bbc06798b3fdd
https://doi.org/10.1007/978-3-030-36683-4_3