Tabernacles of the Spirit

In the classic tradition of the exploratory essay, George Gammack examines the theme of community in this paper. He details varied aspects of the creation of community among those who are retired, taking as its focus the Men’s Sheds movement. The paper explores the relationship between persons and community in later years, looking in particular at how those with a lifetime’s worth of skills and knowledge can continue to contribute to the life of a community. Along the way we are introduced to the work of authors such as Charles Taylor, Richard Niebuhr, Primo Levi, Seamus Heaney and Richard Sennett on the subject of work and what comes after it.Publisher PD

sj-pdf-1-tar-10.1177_17534666221103213 – Supplemental material for Mortality association of nontuberculous mycobacterial infection requiring treatment in Taiwan: a population-based study

Supplemental material, sj-pdf-1-tar-10.1177_17534666221103213 for Mortality association of nontuberculous mycobacterial infection requiring treatment in Taiwan: a population-based study by Hsin-Hua Chen, Ching-Heng Lin and Wen-Cheng Chao in Therapeutic Advances in Respiratory Disease</p

Baseline characteristics of contact subjects^a

Baseline characteristics of contact subjectsa</p

S1 Dataset -

(XLS)</p

Using sputum check to early detect new tuberculosis cases based on CXR alone or combinational CCB score.

<p>Receiver operator characteristic curve (A). Separate percentage (B) and diagnostic accuracy (C) by CCB score. CCB score: CXR, Contact-duration and BMI score.</p

Additional file 1 of Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan

Additional file 1: Supplemental Figure 1. Flow diagram of the analytic pipeline in the study. Supplemental Figure 2. Illustration of the study design and the time frame with right alignment. Subjects were aligned at the alignment point that was extubation-day or one random-day in those without extubation. The data within prediction window (day -3 and day -2 prior to extubation-day) were collected, and the prediction window reflects the time of the prediction ahead of extubation. Supplemental Figure 3. Recursive feature elimination to explore the accuracy of model using distinct numbers of the feature to predict extubation in critically ill ventilated patients. Supplemental Figure 4. Histograms of hospital length of stay (A) and ventilator-day (B) among enrolled subjects. Supplemental Figure 5. Serial explainable predictions of one individual patient. Supplemental Figure 6. Extubation outcome of extubation in the 3,657 critically ill ventilated patients with extubation during admission. Supplemental Table 1. Plausible range of data and proportion of missing data among the top 20 features with high feature importance. Supplemental Table 2. Metrics of performance of distinct machine learning models to predict weaning. Supplemental Table 3. Delong test to determine the difference of performance among distinct machine learning models

Additional file 1 of Culture positivity may correlate with long-term mortality in critically ill patients

Additional file 1: Table S1. Effect modification of variables on the association between culture positivity and risk of mortality. Table S2. Cox proportional hazards regression for 30-day mortality. Figure S1. Kaplan-Meier survival curves for patients categorised by culture sites

Characteristics of the 16 newly diagnosed TB cases

<p>Characteristics of the 16 newly diagnosed TB cases</p

Epidemic curve of the reported TB outbreak.

<p>Epidemic curve of the reported TB outbreak.</p

Cox proportional hazard regression for development of tuberculosis

<p>Cox proportional hazard regression for development of tuberculosis</p