Tensed Ontology Based on Simple Partial Logic

Simple partial logic (=SPL) is, broadly speaking, an extensional logic which allows for the truth-value gap. First I give a system of propositional SPL by partializing classical logic, as well as extending it with several non-classical truth-functional operators. Second I show a way based on SPL to construct a system of tensed ontology, by representing tensed statements as two kinds of necessary statements in a linear model that consists of the present and future worlds. Finally I compare that way with other two ways based on Łukasiewicz’s three-valued logic and branching temporal logic

Multiple logistic regressions of long-term care use and related factors.

<p>OR = odds ratio; BMI = body mass index; NTD = New Taiwan dollar; ER = emergency room;</p><p>IADL = Instrumental Activities of Daily Living; ADL = Activities of Daily Living.</p

Predictors of latent class membership.

<p>Predictors of latent class membership.</p

Characteristics of the study population according to different long-term care use.

<p>*Missing 4 BMI data in non long-term care user; Missing 2 BMI data in institution user.</p><p>BMI: Body mass index; NTD: New Taiwan dollar; ER: emergency room; IADL: instrumental activities of daily living;</p><p>ADL: activities of daily living.</p

Model fit information for competing latent class models.

<p>Model fit information for competing latent class models.</p

Clinical Characteristics of Participants According to the BMI Category.

<p>BMI: body mass index; GOT: glutamic oxaloacetic transaminase; GPT: glutamic pyruvic transaminase; BUN: blood urine nitrogen.</p

Probabilities of individual disease comorbidities, by latent class.

<p>Blue line: class of multi-comorbidity, orange line: class of metabolic syndrome, grey line: class of hypertension and chronic obstructive pulmonary disease (COPD), yellow line: class of relatively healthy.</p

Cox Proportional Model of Factors Associated with All-cause, CVD, and Expanded CVD Mortality.

a<p>Model 1: adjusted for age, sex, marital status, education level, smoking, alcohol consumption, and exercise status.</p>b<p>Model 2: adjusted for all factors in Model 1 plus high FBS, high SBP, high TG, and high TC.</p><p>BMI: body mass index; CVD: cardiovascular disease; FBS: fasting blood sugar; SBP: systolic blood pressure; TG: triglycerides; TC: total cholesterol.</p

HRs for all-cause, CVD, and expanded CVD mortality according to BMI category.

<p>HRs for all-cause, CVD, and expanded CVD mortality according to BMI category.</p

Baseline Characteristics of Participants and Deaths by 5 Categories of BMI Category.

<p>BMI: body mass index; CVD: cardiovascular diseases; FBS: fasting blood sugar; SBP: systolic blood pressure; TG: triglycerides; TC: total cholesterol.</p><p>*Factors included high FBS (i.e., ≥126 mg/dL), SBP (i.e., ≥140 mmHg), TG (≥200 mg/dL), and TC (≥200 mg/dL).</p