Analysis of Indonesia Confucians Understanding Towards Religious Doctrines and Ordinances in Confucianism

To a great extent, daily life of Indonesia Chinese community is filled with religious overtones. This paper basically analyzes the understanding of Indonesia Confucians towards their religion. The first part of this paper will be discussing about the general definition of religion and its religious elements. The second part will analyze the understanding of Indonesia Confucians towards their religious doctrines and ordinances respectively. In conclusion, overview regarding Indonesia Confucians and a special historical background of Indonesia Confucianism, which consists of its formation and development as a legal religion in line with Indonesia national conditions, social conditions and characteristic, will be presented

h_2-norm optimal model reduction for large-scale discrete dynamical MIMO systems

AbstractModeling strategies often result in dynamical systems of very high dimension. It is then desirable to find systems of the same form but of lower complexity, whose input–output behavior approximates the behavior of the original system. Here we consider linear time-invariant discrete-time dynamical systems. The cornerstone of this paper is a relation between optimal model reduction in the h2-norm and (tangential) rational Hermite interpolation. First order necessary conditions for h2-optimal model reduction are presented for discrete Multiple-Input–Multiple-Output (MIMO) systems. These conditions suggest a specific choice of interpolation data and a novel algorithm aiming for anh2-optimal model reduction for MIMO systems. It is also shown that the conditions are equivalent to two known gramian-based first order necessary conditions. Numerical experiments demonstrate the approximation quality of the method

Serum circular RNAs act as blood-based biomarkers for hypertrophic obstructive cardiomyopathy

Altres ajuts: Junge Akademie (MHH); ERC grant Longheart; Deutsche Forschungsgemeinschaft (TRR_267, KFO311).Hypertrophic cardiomyopathy (HCM) is one of the most common hereditary heart diseases and is associated with a high risk of sudden cardiac death. HCM is characterized by pronounced hypertrophy of cardiomyocytes, fiber disarray and development of fibrosis and can be divided into a non-obstructive (HNCM) and obstructive form (HOCM) therefore requiring personalized therapeutic therapies. In the present study, we investigated the expression patterns of several circulating circular RNAs (circRNAs) as potential biomarkers in patients with HCM. We included 64 patients with HCM and 53 healthy controls to the study and quantitatively measured the expression of a set of circRNAs already known to be associated with cardiac diseases (circDNAJC6) and/or being highly abundant in blood (circTMEM56 and circMBOAT2). Abundancy of circRNAs was then correlated to relevant clinical parameters. Serum expression levels of circRNAs DNAJC6, TMEM56 and MBOAT2 were downregulated in patients with HCM. The inverse association between circRNA levels and HCM remained unchanged even after adjusting for confounding factors. All circRNAs, evaluated separately or in combination, showed a robust discrimination capacity when comparing control subjects with HCM, HNCM or HOCM patients (AUC from 0.722 to 0.949). Two circRNAs, circTMEM56 and circDNAJC6, significantly negatively correlated with echocardiographic parameters for HOCM. Collectively, circulating circRNAs DNAJC6, TMEM56 and MBOAT2 can distinguish between healthy and HCM patients. In addition, circTMEM56 and circDNAJC6 could serve as indicators of disease severity in patients with HOCM. Thus, circRNAs emerge as novel biomarkers for HCM facilitating the clinical decision making in a personalized manner

Ultrastructure of the midgut epithelium in <i>N</i>. <i>davidi</i>.

<p>TEM. Mitochondria (m), midgut lumen (l), microvilli (mv). <b>(A)</b> Hepatopancreas in animals re-fed for 7 days after 14 days of starvation. Bar = 1 μm. <b>(B)</b> Intestine in animals re-fed for 7 days after 14 days of starvation. Bar = 1 μm. <b>(C)</b> Hepatopancreas in animals re-fed for 14 days after 14 days of starvation. Bar = 0.5 μm. <b>(D)</b> Intestine in animals re-fed for 14 days after 14 days of starvation. Bar = 1 μm.</p

An Observational Study of Outcomes Associated With Virtual Pain Management Programs Based on Acceptance and Commitment Therapy Implemented During the COVID-19 Pandemic

Objective:  In response to COVID-19, virtual, group-based interdisciplinary pain management programs (PMPs) were rapidly implemented. This included implementing different intensities and formats of virtual PMPs to address a range of patient needs and complexity. This observational study investigated outcomes associated with virtual high and low-intensity and pre-neuromodulation PMPs based on acceptance and commitment therapy as part of routine care during the pandemic. Methods:  Depending on patients’ needs, participants completed a virtual high-intensity or low-intensity PMP, or a virtual PMP in preparation for neuromodulation, from June 2020 to June 2022. Participants completed standardized measures of pain intensity and interference, work and social adjustment, depression, and pain acceptance before and after treatment. Data from 2018 to 2019 for in-person residential (n=561), outpatient (n=123), and pre-neuromodulation (n=207) PMPs were also examined to provide a historical benchmark of performance. Results:  The virtual high-intensity PMP (n=294) showed significant improvements in all variables, with small effects. There were significant improvements with small effects for pain interference, depression, and acceptance for the virtual pre-neuromodulation PMP (n=129). No statistically significant improvements were observed for the virtual low-intensity PMP (n=90). The improvements associated with prepandemic in-person PMPs were generally larger relative to the virtual PMPs of comparable intensity delivered during the pandemic. Discussion:  These data provide preliminary support for the potential benefits of high, but not low, intensity virtual acceptance and commitment therapy-based PMPs, including in the context of neuromodulation. Research is needed to maximize the impact of virtual PMPs and match patients with the most appropriate delivery format

h2-NORM OPTIMAL MODEL REDUCTION FOR LARGE-SCALE DISCRETE DYNAMICAL MIMO SYSTEMS

h2-norm optimal model reduction for large-scale discrete dynamical MIMO system