Long-term snow depth/snow water equivalent (SWE) products derived from passive microwave remote sensing data are fundamental for climatological and hydrological studies. However, the temporal continuity of the products is affected by the updating or replacement of passive microwave sensors or satellite platforms. In this study, we inter-calibrated brightness temperature (Tb) data obtained from ...

Stomach smooth muscle (SSM) and left ventricular muscle (LVM) express the sarco(endo)plasmic reticulum Ca(2+)-ATPase (SERCA) pump gene SERCA2. Alternative splicing yields two major isoforms, SERCA2a in LVM and slow twitch muscle and SERCA2b in SSM and most other tissues. The splices have different 3'-untranslated regions (UTR) and also encode proteins that differ slightly in their COOH-terminal...

Soft Systems Methodology (SSM) is a framework for the exploration of ideas, beliefs, and assumptions about human activities, and it offers an innovative and effective approach to many of the problems and challenges involved in organizational learning. The underlying understanding of human activities as transformations is, however, for many of the practical purposes of IS organizations too limit...

The mitochondrion has been implicated in the development of diabetic cardiomyopathy. Examination of cardiac mitochondria is complicated by the existence of spatially distinct subpopulations including subsarcolemmal (SSM) and interfibrillar (IFM). Dysfunction to cardiac SSM has been reported in murine models of type 2 diabetes mellitus; however, subpopulation-based mitochondrial analyses have no...

OBJECTIVE To evaluate a short screening sheet (SSM) for malnutrition and to investigate the nutritional status of patients receiving chemotherapy for cancer of the lungs, colon or breast at an outpatient clinic. DESIGN Full nutritional assessment was conducted to define malnutrition and validate the SSM. Additionally, weight change from earlier healthy weight was evaluated, and calculations f...

A test point selection algorithm TEPSAUS (TEst-Point Selection Algorithm Using Small signal model) for scan based build-in self-test (BIST) is proposed in this paper. In order to reduce the computational complexity, the algorithm uses Small Signal Model (SSM) to build recursion formulas for cost reduction functions. With the recursion functions, the cost reduction functions can be calculated ef...

The research gap between institutions or universities and industry is still happening today. That arises because there has not been a maximum collaboration academic industry. This study aimed to develop triple helix digital platform model in the product innovation ecosystem. Soft Systems Methodology (SSM) was chosen conduct proposed scientific contributions knowledge management model, especiall...

In the (M+1)SSM an additional gauge singlet Weyl spinor appears in the neutralino sector. For a large part of the parameter space this approximative eigenstate is the true LSP. Then most sparticle decays proceed via an additional cascade involving the NLSP→ LSP transition, where the NLSP is the non-singlet next-to-lightest neutralino. We present a comprehensive list of all processes, which cont...

Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce the Synaptic Sampling Machine (SSM), a stochastic neural network model that uses synaptic unreliability as a means to stochasticity for sampling. Synaptic unreliability plays the dual role of an efficient mechanism for sampling in neuro...

We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a statistical shape model (SSM) of the structure of interest. A global search with an evolutionary algorithm is employed to detect suitable initial parameters for the model, which are subsequently optimized by a local search simil...