904 resultados para Network Analysis Methods


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BACKGROUND: Mitogen activated protein kinases (MAPK) play an essential role in integrating extra-cellular signals and intra-cellular cues to allow cells to grow, adapt to stresses, or undergo apoptosis. Budding yeast serves as a powerful system to understand the fundamental regulatory mechanisms that allow these pathways to combine multiple signals and deliver an appropriate response. To fully comprehend the variability and dynamics of these signaling cascades, dynamic and quantitative single cell measurements are required. Microscopy is an ideal technique to obtain these data; however, novel assays have to be developed to measure the activity of these cascades. RESULTS: We have generated fluorescent biosensors that allow the real-time measurement of kinase activity at the single cell level. Here, synthetic MAPK substrates were engineered to undergo nuclear-to-cytoplasmic relocation upon phosphorylation of a nuclear localization sequence. Combination of fluorescence microscopy and automated image analysis allows the quantification of the dynamics of kinase activity in hundreds of single cells. A large heterogeneity in the dynamics of MAPK activity between individual cells was measured. The variability in the mating pathway can be accounted for by differences in cell cycle stage, while, in the cell wall integrity pathway, the response to cell wall stress is independent of cell cycle stage. CONCLUSIONS: These synthetic kinase activity relocation sensors allow the quantification of kinase activity in live single cells. The modularity of the architecture of these reporters will allow their application in many other signaling cascades. These measurements will allow to uncover new dynamic behaviour that previously could not be observed in population level measurements.

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Tutkimuksen tavoitteena oli selvittää miten kehittää yrityksen nykyistä e-palvelujärjestelmää, Internet -teknologiaan perustuvaa sähköisiä kommunikaatio- ja tiedonjakojärjestelmää, yrityksen business-to-business asiakkuuksien johtamisessa. Tavoitteena oli myös luoda ehdotukset uusista e-palvelusopimusmalleista. Tutkimuksen teoriaosuudessa pyrittiin kehittämään aikaisempiin tutkimuksiin, tietokirjallisuuteen ja asiantuntijoihin perustuva viitekehysmalli. Empiirisessä osassa tutkimuksen tavoitteisiin pyrittiin haastattelemalla yrityksen asiakkaita ja henkilöstöä, sekä tarkastelemalla asiakaskontaktien nykyistä tilaa ja kehittymistä. Näiden tietojen perusteella selvitettiin e-palvelun käyttäjien tarpeita, profiilia ja valmiuksia palvelun käyttöön sekä palvelun nykyistä houkuttelevuutta. Tutkimuksen teoriaosan lähdeaineistona käytettiin kirjallisuutta, artikkeleita ja tilastoja asiakashallinnasta sekä e-palveluiden, erityisesti Internet ja verkkopalveluiden markkinoinnista, nykytilasta sekä palveluiden kehittämisestä. Lisäksi tutkittiin kirjallisuutta arvoverkostoanalyysistä, asiakkaan arvosta, informaatioteknologiasta, palvelun laadusta ja asiakastyytyväisyydestä. Tutkimuksen empiirinen osa perustuu yrityksen henkilöstöltä sekä asiakkailta haastatteluissa kerättyihin tietoihin, yrityksen ennalta keräämiin materiaaleihin sekä Taloustutkimuksen keräämiin tietoihin. Tutkimuksessa käytettiin case -menetelmää, joka oli yhdistelmä sekä kvalitatiivista että kvantitatiivista tutkimusta. Casen tarkoituksena oli testata mallin paikkansapitävyyttä ja käyttökelpoisuutta, sekä selvittää onko olemassa vielä muita tekijöitä, jotka vaikuttavat asiakkaan saamaan arvoon. Kvalitatiivinen aineisto perustuu teemahaastattelumenetelmää soveltaen haastateltuihin asiakkaisiin ja yrityksen työntekijöihin. Kvantitatiivinen tutkimus perustuu Taloustutkimuksen tutkimukseen ja yrityksen asiakaskontakteista kerättyyn tietoon. Haastatteluiden perusteella e-palvelut nähtiin hyödyllisinä ja tulevaisuudessa erittäin tärkeinä. E-palvelut nähdään yhtenä tärkeänä kanavana, perinteisten kanavien rinnalla, tehostaa business-to-business -asiakkuuksien johtamista. Tutkimuksen antamien tulosten mukaan asiakkaiden palveluun liittyvän tieto-, taito-, tarpeellisuus- ja kiinnostavuustasojen vaihtelevaisuus osoittaa selvän tarpeen eritasoisille e-palvelupaketti ratkaisuille. Tuloksista muodostettu ratkaisuehdotus käsittää neljän eri e-palvelupaketin rakentamisen asiakkaiden eri tarpeita mukaillen.

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PURPOSE OF REVIEW: Only 5% of the Alzheimer's cases are explained by genetic mutations, whereas the remaining 95% are sporadic. The pathophysiological mechanisms underlying sporadic Alzheimer's disease are not well understood, suggesting a complex multifactorial cause. This review summarizes the recent findings on research aiming to show how biomarkers can be used for revealing the underlying mechanisms of preclinical stage Alzheimer's disease and help in their diagnosis. RECENT FINDINGS: The undisputed successful publicly accessible repositories provide longitudinal brain images, clinical, genetic and proteomic information of Alzheimer's disease. By combining with increasingly sophisticated data analysis methods, it is a great opportunity for searching new biomarkers. Innovative studies validated theoretical models of disease progression demonstrating the sequential ordering of well-established biomarkers. Novel observations shed light on the interaction between biomarkers to confirm that disease progression is related to multiple pathological factors. A typical example is the tau-associated neuronal toxicity that can be additionally potentiated by amyloid β peptides. To increase further the complexity, studies report specific impact of common genetic variants that can be traced from childhood through middle age up to the symptomatic onset of Alzheimer's disease. SUMMARY: The discovery of efficient therapies to prevent the disease or modify the progression of disease requires a more thorough understanding of the underlying biological processes. Neuroimaging, genetic and proteomic biomarkers for Alzheimer's disease are critically discussed and proposed to be included in clinical descriptions and diagnostic guidelines.

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This work analyses the medium voltage network in central built-up area of Savonlinna city, evaluates the future standards of the electricity distribution network and presents methods for the network renovation. Main challenge is to find a working topology and network solutions for the transitional phase of the renovation progress. The network renovation methods are verified with an example solution for an existing suburban area of Savonlinna City, wherein the medium voltage and small voltage distribution networks are renovated.

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BACKGROUND: Lung clearance index (LCI), a marker of ventilation inhomogeneity, is elevated early in children with cystic fibrosis (CF). However, in infants with CF, LCI values are found to be normal, although structural lung abnormalities are often detectable. We hypothesized that this discrepancy is due to inadequate algorithms of the available software package. AIM: Our aim was to challenge the validity of these software algorithms. METHODS: We compared multiple breath washout (MBW) results of current software algorithms (automatic modus) to refined algorithms (manual modus) in 17 asymptomatic infants with CF, and 24 matched healthy term-born infants. The main difference between these two analysis methods lies in the calculation of the molar mass differences that the system uses to define the completion of the measurement. RESULTS: In infants with CF the refined manual modus revealed clearly elevated LCI above 9 in 8 out of 35 measurements (23%), all showing LCI values below 8.3 using the automatic modus (paired t-test comparing the means, P < 0.001). Healthy infants showed normal LCI values using both analysis methods (n = 47, paired t-test, P = 0.79). The most relevant reason for false normal LCI values in infants with CF using the automatic modus was the incorrect recognition of the end-of-test too early during the washout. CONCLUSION: We recommend the use of the manual modus for the analysis of MBW outcomes in infants in order to obtain more accurate results. This will allow appropriate use of infant lung function results for clinical and scientific purposes. Pediatr Pulmonol. 2015; 50:970-977. © 2015 Wiley Periodicals, Inc.

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Occupational exposures to fungi are very frequent and are known to cause chronic or acute symptoms. To better assess health risks related to fungal exposure, it is crucial to characterize precisely the airborne fungal community in terms of quantity and composition. The objective of this chapter is to synthesize existing knowledge of airborne fungal contamination in various occupational settings. We analyzed 134 papers published between 2000 and 2014 focusing on five different work sectors considered as highly contaminated (i.e., more than 1000 fungal particles/m3): animal confinement buildings, sawmills, waste handling, the food industry, and grain/plant handling. Results show that harvesting grain, washing cheese, and handling salami seem to be the occupational situations with the worst potential for exposure. Moreover, a lack of standardized sampling and analysis methods among countries and even within the same country is highlighted. Occupational exposure limit values do not exist. Recommendations and guidelines based on culture-dependent methods, which are now recognized to underestimate true concentrations, are proposed. Those recommendations are frequently exceeded and protective measures are not always easy to implement.

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Tutkielman tavoitteena on selvittää soveltuvatko suomalaiset osakkeet parikaupankäyntiin ja voidaanko niillä luoda tuottavia kaupankäyntistrategioita. Tutkielmassa tarkastellaan pystytäänkö suomalaisista osakkeista muodostamaan parikaupankäynnin kannalta toimivia osakepareja. Aineisto koostuu kaikkiaan 53 tutkitusta yrityksestä, joiden joukosta valitaan paras osakepari kultakin viideltä toimialalta. Tutkimusperiodi käsittää vuodet 2004–2007, eli se sisältää noin 1000 kaupankäyntipäivää per osa-ke. Viittä valittua osakeparia tutkitaan tarkemmin tilastollisilla ja teknisillä analyysimenetelmillä. Empiiristen tulosten perusteella suomalaiset osakkeet soveltuvat hyvin parikaupankäyntiin. Jokaisella viidellä tutkitulla osakeparilla ilmeni selvää hintojen erkaantumista ja konvergoitumista, joten niillä olisi tutkimuspe-riodin aikana pystynyt käymään menestyksekästä parikauppaa.

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The use of data visualization in history leads to contradictory reactions: some are fascinated by its heuristic potential and forget their critical faculties while others reject this practice, suspecting it of hiding explanatory weaknesses. This paper proposes a distinction between demonstration visualization and research visualization, reminding that scholars should not only use data visualization for communication purposes, but also for the research itself. It is particularly in its more complex form that this research visualization category will be approached here: network analysis.

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The global automobile industry is made up of very large corporations and their various subsidiaries containing different functions that create complex locational structures. The networks formed by the 19 largest automobile transnational corporations constitute an automobile "oligopoly" representing more than 90% (OICA, 2012) of the world's production. Since the mid-1990s, Central and Eastern European cities have become attractive for transnational corporations and particularly for the production functions in the automobile sector. This leads to a crucial question. Are strategic functions (such as R&D) within these networks also located in Central and Eastern Europe, or is the region still manufacturing-oriented in the automobile industry? This paper focuses on the patterns and the main factors influencing the role of some of these new central and Eastern European cities that have become integrated in the global value chain of the automobile industry. By analysing the various locations of the specialized functions within the corporations, this study aims to extend the research on global value chains (Gereffi and Korzeniewicz; 1994, Sturgeon, 2000; Krätke, 2014). The spatial patterns of the various functions and the ownerships networks of the automobile industry are constructed in order to identify the cities supporting it. In particular, the way that national metropolises bring their national territories into the globalization of the automobile industry is addressed. For example, are there some specific advantages of capital cities compared to cities that have less integration in globalization terms?

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OBJECTIVES: Different accelerometer cutpoints used by different researchers often yields vastly different estimates of moderate-to-vigorous intensity physical activity (MVPA). This is recognized as cutpoint non-equivalence (CNE), which reduces the ability to accurately compare youth MVPA across studies. The objective of this research is to develop a cutpoint conversion system that standardizes minutes of MVPA for six different sets of published cutpoints. DESIGN: Secondary data analysis. METHODS: Data from the International Children's Accelerometer Database (ICAD; Spring 2014) consisting of 43,112 Actigraph accelerometer data files from 21 worldwide studies (children 3-18 years, 61.5% female) were used to develop prediction equations for six sets of published cutpoints. Linear and non-linear modeling, using a leave one out cross-validation technique, was employed to develop equations to convert MVPA from one set of cutpoints into another. Bland Altman plots illustrate the agreement between actual MVPA and predicted MVPA values. RESULTS: Across the total sample, mean MVPA ranged from 29.7MVPAmind(-1) (Puyau) to 126.1MVPAmind(-1) (Freedson 3 METs). Across conversion equations, median absolute percent error was 12.6% (range: 1.3 to 30.1) and the proportion of variance explained ranged from 66.7% to 99.8%. Mean difference for the best performing prediction equation (VC from EV) was -0.110mind(-1) (limits of agreement (LOA), -2.623 to 2.402). The mean difference for the worst performing prediction equation (FR3 from PY) was 34.76mind(-1) (LOA, -60.392 to 129.910). CONCLUSIONS: For six different sets of published cutpoints, the use of this equating system can assist individuals attempting to synthesize the growing body of literature on Actigraph, accelerometry-derived MVPA.

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Porous silicon (PSi) is a promising material to be utilized in drug delivery formulations. The release rate of the drug compound can be controlled by changing the pore properties and surface chemistry of PSi. The loading of a poorly soluble drug into mesoporous silicon particles enhances its dissolution in the body. The drug loading is based on adsorption. The attainable maximum loaded amount depends on the properties of the drug compound and the PSi material, and on the process conditions. The loading solvent also essentially affects the adsorption process. The loading of indomethacin into PSi particles with varying surface modification was studied. Solvent mixtures were applied in the loading, and the loaded samples were analyzed with thermal analysis methods. The best degree of loading was obtained using a mixture of dichloromethane and methanol. The drug loads varied from 7.7 w-% to 26.8 w-%. A disturbing factor in the loading experiments was the tendency of indomethacin to form solvates with the solvents applied. In addition, the physical form and stability of indomethacin loaded in PSi and silica particles were studied using Raman spectroscopy. In the case of silica, the presence of crystalline drug as well as the polymorph form can be detected, but the method proved to be not applicable for PSi particles.

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Research into the course of life, mental stamina and health status of wartime prisoners, victims of Soviet partisan attacks, and paupers in Finnish Lapland The basis of this research comprised the issues raised during the interviews conducted in my work as a general practitioner in Lapland, regarding factors that have possibly affected the life stories and health conditions of Lappish people who had lived through the war as war prisoners, victims of partisan attacks, or paupers. The purpose of the study was to describe how the different life phases and experiences emerged from the interviewees’ stories and to identify their mental stamina. Another goal was to make observations on their health status, in which the main emphasis became to address mental symptoms. The cohort consisted of elderly Finns who lived in Lapland during the war and experienced war imprisonment, pauperism, or became victims of partisan attacks. All three groups consisted of 12 interviewees. The interview transcripts were read several times and then investigated using the content analysis methods applicable to the material. The research methodology was based on building awareness and understanding. Thematic tagging and data coding were used as structured analysis tools. In all three groups most of the interviewees clearly identified their mental stamina, the most fundamental of which were home, family and work. The war prisoners’ injuries and nervous sensibility symptoms had been shown in earlier studies on war prisoners, and on this basis they had been granted disability pensions. However, many of them had suppressed their traumatic experiences and mental difficulties, and they could not talk about these issues until at the time of these interviews held at old age. Four of them still suffered from a post-traumatic stress disorder. The victims of Soviet partisans had had to carry their mental load alone for decades before the cruel ravages on civilians in remote areas of Lapland became publicly known. Most of them still had disturbing nervous sensibility symptoms. Four interviewees had a post-traumatic stress disorder, and in addition to these, the mental symptoms of one had developed into a post-traumatic stress disorder during old age. Many of the interviewees who had been left paupers remembered their childhood as filled with grief and feelings of inferiority, and had nightmares relating to their wartime experiences. Yet none of them suffered from post-traumatic stress disorder. The results showed that the exceptional suffering caused by the war, the wartime imprisonment and the devastating attacks by Soviet partisans had led especially to mental difficulties. These were left almost completely unnoticed in the post-war conditions, and the war victims were unable to seek help on their own. Based on the results, our health care for the elderly should focus on familiarization with the individual experiences and life stories of each elderly person. This can facilitate geriatric diagnostics and individual therapy planning. Empathic familiarization with the life experiences of the elderly may strengthen their mental stamina and improve the quality of successful aging.

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Tämä diplomityö käsittelee tapahtumien tutkinnan systematisointia Loviisan voimalaitoksella. Nykyisin Loviisan voimalaitoksella tutkitaan tapahtumia usealla tavalla eikä raporttien tuloksia pystytä täysin hyödyntämään. Diplomityössä käydään läpi erilaisia tapahtumien tutkintamenetelmiä sekä tutustutaan perussyyanalyysimenetelmiin. Matalan tason tapahtumien tutkintaan kehitettiin kysymyslista, jolla saadaan helposti selville tapahtumien ongelma-alueet. Kysymyslista mahdollisti myös tapahtumien laaja-alaisen luokittelun, jonka avulla tunnistetaan eri tapahtumien kautta ilmenneitä yhteisiä ongelma-alueita. Tapahtumien tutkintaan liittyy myös riskien arviointi. Tässä diplomityössä kehitettiin riskimatriisi tapahtuman vakavuuden ja jatkoselvitystarpeen arvioinnin avuksi. Perussyyanalyysimenetelmistä AcciMap-menetelmä osoittautui käyttökelpoiseksi ja sitä suositellaan kokeiltavaksi seuraavan inhimilliseen toimintaan liittyvän perussyyanalyysin yhteydessä.

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Fatal and permanently disabling accidents form only one per I cent of all occupational accidents but in many branches of industry they account for more than half the accident costs. Furthermore the human suffering of the victim and his family is greater in severe accidents than in slight ones. For both human and economic reasons the severe accident risks should be identified befor injuries occur. It is for this purpose that different safety analysis methods have been developed . This study shows two new possible approaches to the problem.. The first is the hypothesis that it is possible to estimate the potential severity of accidents independent of the actual severity. The second is the hypothesis that when workers are also asked to report near accidents, they are particularly prone to report potentially severe near accidents on the basis of their own subjective risk assessment. A field study was carried out in a steel factory. The results supported both the hypotheses. The reliability and the validity of post incident estimates of an accident's potential severity were reasonable. About 10 % of accidents were estimated to be potentially critical; they could have led to death or very severe permanent disability. Reported near accidents were significantly more severe, about 60 $ of them were estimated to be critical. Furthermore the validity of workers subjective risk assessment, manifested in the near accident reports, proved to be reasonable. The studied new methods require further development and testing. They could be used both in routine usage in work places and in research for identifying and setting the priorities of accident risks.