Manajemen Program Siaran Lokal Aceh TV Dalam Upaya Penyebarluasan Syariat Islam Dan Pelestarian Budaya Lokal

Managing broadcasting management is not easy. Managing the broadcasting business is a difficult and challenging. This research aims to analyze the activity of management and organizational performance ACEH TV television media in an effort to disseminate the Islamic Sharia and Preservation of Local Culture in Aceh. This research is descriptive qualitative. Informants of this research is managing director, program director, executive producer, cameraman / reporter, as well as additional informants Regional Chairman of the Indonesian Broadcasting Commission (KPID) Aceh, Aceh Province Department of Islamic Law, and local media observers. The location of this research is in Banda Aceh, Aceh province. Sampling was done purposively. Data collected through observation, interviews, and documentation. Data were analyzed by analysis of an interactive model of Miles and Huberman. The results showed that the ACEH TV as the medium of television that is broadcasting management ACEH have done according to a local television broadcasting standard. Agenda setting function of mass media performed in the ACEH TV dissemination of Islamic Shariah in Aceh and local culture to influence the people of Aceh to implement Islamic Sharia and also maintain the culture and local wisdom Aceh. It can be seen from all the programs that are aired ACEH TV is a program of local cultural nuances of Islamic law. There are still some shortcomings in running broadcasting broadcasting technology such as lack of equipment that is increasingly sophisticated. The results of image editing is very simple, and some programs presenter still looks stiff when in front of the camera

Body silhouettes as a tool to reflect obesity in the past

<div><p>Life course data on obesity may enrich the quality of epidemiologic studies analysing health consequences of obesity. However, achieving such data may require substantial resources.</p><p>We investigated the use of body silhouettes in adults as a tool to reflect obesity in the past. We used large population-based samples to analyse to what extent self-reported body silhouettes correlated with the previously measured (9–23 years) body mass index (BMI) from both measured (European Community Respiratory Health Survey, N = 3 041) and self-reported (Respiratory Health In Northern Europe study, N = 3 410) height and weight. We calculated Spearman correlation between BMI and body silhouettes and ROC-curve analyses for identifying obesity (BMI ≥30) at ages 30 and 45 years. Spearman correlations between measured BMI age 30 (±2y) or 45 (±2y) and body silhouettes in women and men were between 0.62–0.66 and correlations for self-reported BMI were between 0.58–0.70. The area under the curve for identification of obesity at age 30 using body silhouettes <i>vs</i> previously measured BMI at age 30 (±2y) was 0.92 (95% CI 0.87, 0.97) and 0.85 (95% CI 0.75, 0.95) in women and men, respectively; for previously self-reported BMI, 0.92 (95% CI 0.88, 0.95) and 0.90 (95% CI 0.85, 0.96). Our study suggests that body silhouettes are a useful epidemiological tool, enabling retrospective differentiation of obesity and non-obesity in adult women and men.</p></div

Additional file 1 of Intra-breath changes in respiratory mechanics are sensitive to history of respiratory illness in preschool children: the SEPAGES cohort

Supplementary Material

Characteristics of participants with asthma according to each cluster.

<p>BMI = Body Mass Index, FEV1 = Forced Expiratory Volume, #: BHR: Bronchial Hyper Responsiveness (Methacholine test, PD20≤4 mg, Methacholine challenge test was not performed if baseline FEV1 <80% predicted, PD20 = Provocative Dose). BHR was then available for 663 participants (396 without asthma and 267 with asthma).</p><p>*p-value overall</p><p>Characteristics of participants with asthma according to each cluster.</p

Classification tree obtained with the most predictive variables in participants without (Part A) and with asthma (Part B).

<p>Classification tree obtained with the most predictive variables in participants without (Part A) and with asthma (Part B).</p

Characteristics of participants without asthma according to each cluster.

<p>BMI = Body Mass Index</p><p>*p-value overall</p><p>Characteristics of participants without asthma according to each cluster.</p

Flowchart of the studied population.

<p>Flowchart of the studied population.</p

Characteristics of non-asthmatics and asthmatic subjects.

#<p>Skin Prick Test positivity (SPT+) was defined by a mean wheal diameter≥3 mm than the negative control for at least one of 11 aeroallergens. SPTQ: number of positive test.</p><p>IgE: immunoglobulin E, NA: not available. *Not performed if FEV₁<80% predicted.</p>$<p>Q1–Q3 = first and third quartile.</p

Associations between SNPs belonging to <i>NOS2</i> and <i>NOS3</i> with Fe_NO and total NO₂–NO₃ levels in exhaled breath condensate in non-asthmatic subjects – Multivariate analysis.

*<p>Adjusted for age, sex, height, smoking, centre and principal components.</p>†<p>Adjusted for age, sex and principal components.</p>‡<p>95% confidence interval of regression coefficient.</p

Pair-wise association of eosinophil count and NO-related phenotypes in non-asthmatic and asthmatic subjects.

<p>Estimates are adjusted for *age and sex, or ^#age, sex, height, smoking and centre (GEE regression methods).</p