Tingkat Pengetahuan Keluarga Tentang Gastritis pada Lansia di Desa Ngaban Rw 04, Tanggulangin, Sidoarjo

Introduction. Lansia merupakan istilah tahap akhir dari proses penuaan, akibat proses ini lansia mengalami kemunduran, kelemahan manusiawi dan sosial. Gastritis merupakan salah satu penyakit yang terjadi pada lansia pada sistem pencernaan. Gastritis adalah suatu proses inflamasi pada lapisan mukosa dan submukosa lambung. Insiden gastritis meningkat dengan lanjutnya proses menua. Methods. Penelitian ini bertujuan untuk mengetahui tingkat pengetahuan keluarga lansia tentang gastritis pada lansia di Desa Ngaban RW 04 Tanggulangin. Desain dalam penelitian ini adalah deskriptif, penelitian ini bertujuan untuk menggambarkan tingkat pengetahuan keluarga lansia tentang gastritis pada lansia di Desa Ngaban RW 04 Tanggulangin Sidoarjo, sampel sebanyak 35 responden diambil dengan tekhnik total sampling. Data diperoleh dengan menggunakan kuesioner tertutup skala ordinal. Setelah data terkumpul selanjutnya dilakukan pengolahan data dengan menggunakan cara editing, scoring, dan tabulating. Results. Hasil penelitian menunjukkan bahwa lebih dari setengah sebanyak 21 orang (60%) mengalami pengetahuan cukup. Discussion. Untuk itu diharapkan pelayanan kesehatan di Desa Ngaban diadakan pendidikan kesehatan atau penyuluhan tentang gastritis pada lansia sehingga dapat menambah pengetahuan keluarga tetntang gastritis pada lansia

Searching for the most variable m/z values in grape development in a Portuguese vineyard

Each vineyard is known to have a strong impact on the metabolic compounds of grapes due to its external factors, named terroir [1]. Furthermore, knowledge on the metabolic behavior of vines in response to the terroir effect can help to assess, in advance, the optimal maturity of grapes. The aim of this work was to obtain a metabolic profile of vines in different locations and consequently associate it with the external conditions present during grapes’ development using an untargeted approach. Samples were collected in eight sites of a Portuguese vineyard during different developmental stages and analyzed using a metabolomic protocol based on liquid chromatography coupled to tandem mass spectrometry [2]. Briefly, samples were grounded and extracted using a mixture of water/methanol/chloroform (20:40:40, v/v/v). The aqueous methanol fraction was used for further analysis. An Agilent Eclipse plus C18 column (RRHD 1.8 µm, 2.1 mm × 100 mm) was used for chromatographic separation and elution was achieved in gradient mode. Water and acetonitrile both containing 0.1% (v/v) formic acid were used as mobile phase. Mass spectrometry analysis was performed in positive and negative ionization mode and data were acquired in scan mode to maximize the number of detected m/z values. MZmine software was chosen for data analysis due to its robustness in fragment selection. A baseline correction was applied to equalize baselines and an alignment algorithm was used to equalize retention times aiming to compare m/z values from different samples. Statistical and chemometric tools were used to exclude m/z values attributed to blanks and to establish a metabolic profile, respectively. Preliminary results confirm that the methodology chosen for data analysis is fast and accurate for the viable selection of the most significant m/z features. Regarding currently analyzed samples, the proposed methodology allowed the identification of several m/z features presenting a statistically significant variation among sampling points, which will be further investigated as indicators of the maturity state.info:eu-repo/semantics/publishedVersio

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes

Computational social network modeling of terrorist recruitment.

The Seldon terrorist model represents a multi-disciplinary approach to developing organization software for the study of terrorist recruitment and group formation. The need to incorporate aspects of social science added a significant contribution to the vision of the resulting Seldon toolkit. The unique addition of and abstract agent category provided a means for capturing social concepts like cliques, mosque, etc. in a manner that represents their social conceptualization and not simply as a physical or economical institution. This paper provides an overview of the Seldon terrorist model developed to study the formation of cliques, which are used as the major recruitment entity for terrorist organizations

Computational social dynamic modeling of group recruitment.

The Seldon software toolkit combines concepts from agent-based modeling and social science to create a computationally social dynamic model for group recruitment. The underlying recruitment model is based on a unique three-level hybrid agent-based architecture that contains simple agents (level one), abstract agents (level two), and cognitive agents (level three). This uniqueness of this architecture begins with abstract agents that permit the model to include social concepts (gang) or institutional concepts (school) into a typical software simulation environment. The future addition of cognitive agents to the recruitment model will provide a unique entity that does not exist in any agent-based modeling toolkits to date. We use social networks to provide an integrated mesh within and between the different levels. This Java based toolkit is used to analyze different social concepts based on initialization input from the user. The input alters a set of parameters used to influence the values associated with the simple agents, abstract agents, and the interactions (simple agent-simple agent or simple agent-abstract agent) between these entities. The results of phase-1 Seldon toolkit provide insight into how certain social concepts apply to different scenario development for inner city gang recruitment

Bayesian methods for estimating the reliability in complex hierarchical networks (interim report).

Current work on the Integrated Stockpile Evaluation (ISE) project is evidence of Sandia's commitment to maintaining the integrity of the nuclear weapons stockpile. In this report, we undertake a key element in that process: development of an analytical framework for determining the reliability of the stockpile in a realistic environment of time-variance, inherent uncertainty, and sparse available information. This framework is probabilistic in nature and is founded on a novel combination of classical and computational Bayesian analysis, Bayesian networks, and polynomial chaos expansions. We note that, while the focus of the effort is stockpile-related, it is applicable to any reasonably-structured hierarchical system, including systems with feedback

Summary report : universal fuel processor.

The United States produces only about 1/3 of the more than 20 million barrels of petroleum that it consumes daily. Oil imports into the country are roughly equivalent to the amount consumed in the transportation sector. Hence the nation in general, and the transportation sector in particular, is vulnerable to supply disruptions and price shocks. The situation is anticipated to worsen as the competition for limited global supplies increases and oil-rich nations become increasingly willing to manipulate the markets for this resource as a means to achieve political ends. The goal of this project was the development and improvement of technologies and the knowledge base necessary to produce and qualify a universal fuel from diverse feedstocks readily available in North America and elsewhere (e.g. petroleum, natural gas, coal, biomass) as a prudent and positive step towards mitigating this vulnerability. Three major focus areas, feedstock transformation, fuel formulation, and fuel characterization, were identified and each was addressed. The specific activities summarized herein were identified in consultation with industry to set the stage for collaboration. Two activities were undertaken in the area of feedstock transformation. The first activity focused on understanding the chemistry and operation of autothermal reforming, with an emphasis on understanding, and therefore preventing, soot formation. The second activity was focused on improving the economics of oxygen production, particularly for smaller operations, by integrating membrane separations with pressure swing adsorption. In the fuel formulation area, the chemistry of converting small molecules readily produced from syngas directly to fuels was examined. Consistent with the advice from industry, this activity avoided working on improving known approaches, giving it an exploratory flavor. Finally, the fuel characterization task focused on providing a direct and quantifiable comparison of diesel fuel and JP-8

Gas retention in irradiated beryllium

Helium (an inert gas) with low solubility in beryllium is trapped in irradiated beryllium at low temperatures ( 1 MeV). In these samples the calculated helium generated was {approximately} 14,000 appm. They are described in terms of swelling, annealing, microstructure, and helium bubble behavior (size, density and mobility). A second sample was irradiated to {approximately}5 {times} 10{sup 22} n/cm{sup 2} (E > 1 MeV). In that one the calculated helium and tritium generated were {approximately}24,000 appm He and {approximately}3720 appm, and tritium content was examined in a dissolution experiment. Most of the tritium was released as gas to the glovebox indicating the generated tritium was retained in the helium bubbles. In a third set of experiments a specimen was examined by annealing at a succession of temperatures to more than 600{degree}C for tritium release. In the temperature range of 300--500{degree}C little release (0.01--0.4%) occurred, but there was a massive release at just over 600{degree}C. Theories of swelling appear to adequately describe bubble behavior with breakaway release occurring at high helium contents and at large bubble diameters. 8 refs., 6 figs

Robust message routing for mobile (wireless) ad hoc networks.

This report describes the results of research targeting improvements in the robustness of message transport in wireless ad hoc networks. The first section of the report provides an analysis of throughput and latency in the wireless medium access control (MAC) layer and relates the analysis to the commonly used 802.11 protocol. The second section describes enhancements made to several existing models of wireless MAC and ad hoc routing protocols; the models were used in support of the work described in the following section. The third section of the report presents a lightweight transport layer protocol that is superior to TCP for use in wireless networks. In addition, it introduces techniques that improve the performance of any ad hoc source routing protocol. The fourth section presents a novel, highly scalable ad hoc routing protocol that is based on geographic principles but requires no localization hardware

Toxin studies using an integrated biophysical and structural biology approach.

Clostridial neurotoxins, such as botulinum and tetanus, are generally thought to invade neural cells through a process of high affinity binding mediated by gangliosides, internalization via endosome formation, and subsequent membrane penetration of the catalytic domain activated by a pH drop in the endosome. This surface recognition and internalization process is still not well understood with regard to what specific membrane features the toxins target, the intermolecular interactions between bound toxins, and the molecular conformational changes that occur as a result of pH lowering. In an effort to elucidate the mechanism of tetanus toxin binding and permeation through the membrane a simple yet representative model was developed that consisted of the ganglioside G{sub tlb} incorporated in a bilayer of cholesterol and DPPC (dipalmitoylphosphatidyl choline). The bilayers were stable over time yet sensitive towards the binding and activity of whole toxin. A liposome leakage study at constant pH as well as with a pH gradient, to mimic the processes of the endosome, was used to elucidate the effect of pH on the toxin's membrane binding and permeation capability. Topographic imaging of the membrane surface, via in situ tapping mode AFM, provided nanoscale characterization of the toxin's binding location and pore formation activity