T-PIM: Trusted Password Input Method against Data Stealing Malware

Spoken Name Input Method Using Word Recognition and Continuous Syllable Recognition with Touch Input

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1565 ◽

2013 ◽

Vol 133 (8) ◽

pp. 1565-1575

Author(s):

Norihide Kitaoka ◽

Hironori Oshikawa ◽

Seiichi Nakagawa

Keyword(s):

Word Recognition ◽

Input Method ◽

Touch Input

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Factors That Cause Concerns after Cardioverter Defibrillator Implantation

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18116095 ◽

2021 ◽

Vol 18 (11) ◽

pp. 6095

Author(s):

Olimpia Karczewska ◽

Agnieszka Młynarska

Keyword(s):

Observational Study ◽

Secondary Prevention ◽

Negative Emotions ◽

Female Gender ◽

Multiple Regression Model ◽

Icd Implantation ◽

Cardioverter Defibrillator ◽

Input Method ◽

Two Stages

Background and Objectives: The aim of the study was to assess the factors that influence the occurrence of concerns and their intensification after the implantation of a cardioverter defibrillator. Materials and Methods: This was a prospective and observational study including 158 patients. The study was conducted in two stages: stage I before implantable cardioverter defibrillator (ICD) implantation and stage II follow-up visit six months after ICD implantation. Standardized questionnaires were used in both stages. Results: Age and female gender were significantly correlated with the occurrence and intensity of concerns. Patients who had a device implanted for secondary prevention also experienced higher levels of concern. Additionally, a multiple regression model using the stepwise input method was performed. The model was statistically significant and explained 42% of the observed variance in the dependent variable (p = 0.0001, R2 = 0.4215). The analysis showed that age (p = 0.0036), insomnia (p = 0.0276), anxiety (p = 0.0000) and negative emotions (p = 0.0374) were important predictors of the dependent variable and enabled higher levels of the number of concerns to be predicted. Conclusions: There is a relationship between the severity of the concerns related to an implanted ICD and age, gender, anxiety, negative emotions and insomnia. Indications for ICD implantation may be associated with increased concerns about ICD.

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