948 resultados para Hierarchical partitioning analysis


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Fluorescence properties of whole water samples and molecular characteristics of ultrafiltrated dissolved organic matter (UDOM > 1,000 D) such as lignin phenol and neutral sugar compositions and 13C nuclear magnetic resonance (NMR) spectra were determined along a freshwater to marine gradient in Everglades National Park. Furthermore, UDOM samples were categorized by hierarchical cluster analysis based on their pyrolysis gas chromatography/mass spectrometry products. Fluorescence properties suggest that autochthonous DOM leached/exuded from biomass is quantitatively important in this system. 13C NMR spectra showed that UDOM from the oligotrophic Taylor Slough (TS) and Florida Bay (FB) ecosystems has low aromatic C (13% ± 3% for TS; 2% ± 2% for FB) and very high O-alkyl C (54% ± 4% for TS; 75% ± 4% for FB) concentrations. High O-alkyl C concentrations in FB suggest seagrass/phytoplankton communities as dominant sources of UDOM. The amount of neutral sugars was not appreciably different between the TS and FB sites (115 ± 12 mg C g C-1 UDOM) but their concentrations suggest a low level of diagenesis and high production rates of this material in this oligotrophic environment. Total yield of lignin phenols (vanillyl + syringyl phenols) in TS was low (0.20–0.39 mg 100 mg C-1 UDOM) compared with other riverine environments and even lower in FB (0.04–0.07 mg 100 mg C-1 UDOM) and could be a result of photodegradation and/or dilution by other utochthonous DOM. The high O-alkyl and low aromatic nature of this UDOM suggests significant biogenic inputs (as compared with soils) and limited bioavailability in this ecosystem.

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The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the quality of the data and associations with socioeconomic and sanitary conditions in the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the coefficients of mortality were calculated for the chapters of the International Disease Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for different Brazilian micro-regions. Factorial analysis of the contextual variables was used to obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and of the ratio of its values in the two age groups confirmed a decrease in most of the indicators, particularly for badly-defined causes among the oldest-old. Among the young-old, the following profiles emerged: the Development Profile; the Modernity Profile; the Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter three profiles were confirmed, in addition to the Low Mortality Rates Profile. When comparing the mean IPSS values in global terms, all of the groups were different in both of the age groups. The Ignorance Profile was compared with the other profiles using orthogonal contrasts. This profile differed from all of the others in isolation and in clusters. However, the mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old. Furthermore, associations were found between the data quality indicators, the CMId for badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic and sanitary deprivation. The findings of the present study show that, despite the decrease in the mortality coefficients, there are notable differences in the profiles related to contextual conditions, including regional differences in data quality. These differences increase the vulnerability of the age groups studied and the health iniquities that are already present.

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RESUMO Objetivos. O défice mnésico é uma das alterações cognitivas que mais afeta as pessoas idosas. A idade é considerada um dos fatores de relevo nas alterações de memória, inclusivamente pelas próprias pessoas idosas. A investigação tem mostrado que existem outros fatores além da idade que afetam a memória das pessoas idosas. Contudo, fica por esclarecer qual o real papel da idade sobre a memória quando é controlada a influência de outras variáveis. Assim, o presente estudo pretende analisar o impacto da idade no funcionamento mnésico de pessoas idosas e verificar se, ao controlar o papel de outras variáveis (sexo, escolaridade, profissão, situação civil, situação residencial e situação clínica), esse potencial impacto se mantém. Métodos. A amostra global foi constituída por 1126 participantes (283 homens e 843 mulheres; 226 residentes na comunidade e 900 em resposta social dirigida à população idosa) com idades compreendidas entre os 60 e os 100 anos. A avaliação foi realizada com recurso aos itens do Mini-Mental State Examination (memória de trabalho), o fator do Montreal Cognitive Assessment (memória declarativa verbal) e Figura Complexa de ReyOsterrieth (memória visuoespacial). Resultados. Globalmente, a idade, escolaridade, profissão, situação civil, residencial e clínica influenciaram a memória de forma diferenciada consoante o tipo de memória. As análises de regressão hierárquica mostraram que a idade é um fator preditivo em todos os tipos de memória. Emergiram ainda outros fatores preditivos com coeficientes de regressão superiores à idade conforme o tipo de memória (exceto na memória de trabalho). Conclusões. A idade, a escolaridade e a profissão influenciam a memória, assim como os fatores que potencialmente estimulam cognitiva e socialmente (como ter um companheiro e residir na comunidade). Os resultados apontam para a importância de intervir em pessoas em respostas sociais, mais idosas, sem companheiro, com baixa escolaridade e profissão manual. ABSTRACT Goals. Memory impairment is one of the types of cognitive impairment that most affects the elderly. Age is considered one of the major factors in memory impairment, including by the elderly themselves. Research has shown that there are other factors affecting memory of elderly persons. It remains, however, unclear what is the real impact of age in memory when controlling the influence of other variables. Thus, this study aims to analyze the impact of age on memory functioning of elderly persons and check if the potential impact remains when controlling the role of other variables (sex, education, profession, marital status, residential status, and clinical situation). Methods. The global sample comprised 1126 subjects (283 men and 843 women, 226 residents in the community and 900 institutionalized elderly) aged from 60 to 100 years. The assessment included items from the MiniMental State Examination (working memory), the Montreal Cognitive Assessment factor (verbal declarative memory), and Rey-Osterrieth Complex Figure (visuospatial memory). Results. Overall, age, education, profession, marital, residential, and clinical condition have differently influenced memory, depending on the type of memory. The hierarchical regression analysis showed that age is a predictive factor in all types of memory. However, other predictors have emerged with higher regression coefficients compared to age, according to the type of memory (except in working memory). Conclusions. Age, education and profession influence memory, as well as factors that potentially stimulate cognitively and socially (like having a partner and living in the community). The results indicate the importance of intervening, especially among institutionalized elderly, older, unmarried, with low education, and manual profession.

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Individual learning is important, as it is both a precursor and an outcome of learning in organisations. Job-related learning is driven by external factors (e.g., the demands of the job) and internal factors (i.e., the personality of the individual). The study examined whether need for achievement moderates the relationship between job-demand for learning and job-related learning. Data were obtained from 153 full-time, white-collar employees from a range of industries. Hierarchical regression analysis using the product term revealed that need for achievement moderates the relationship between job-demand for learning and job-related learning. Specifically, although job-demand for learning is correlated positively to job-related learning for both the high and the low need for achievement groups, this correlation is stronger amongst the high group. The findings are discussed in terms of their implications for future research and practice.

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In support of the achievement goal theory (AGT), empirical research has demonstrated psychosocial benefits of the mastery-oriented learning climate. In this study, we examined the effects of perceived coaching behaviors on various indicators of psychosocial well-being (competitive anxiety, self-esteem, perceived competence, enjoyment, and future intentions for participation), as mediated by perceptions of the coach-initiated motivational climate, achievement goal orientations and perceptions of sport-specific skills efficacy. Using a pre-post test design, 1,464 boys, ages 10-15 (M = 12.84 years, SD = 1.44), who participated in a series of 12 football skills clinics were surveyed from various locations across the United States. Using structural equation modeling (SEM) path analysis and hierarchical regression analysis, the cumulative direct and indirect effects of the perceived coaching behaviors on the psychosocial variables at post-test were parsed out to determine what types of coaching behaviors are more conducive to the positive psychosocial development of youth athletes. The study demonstrated that how coaching behaviors are perceived impacts the athletes’ perceptions of the motivational climate and achievement goal orientations, as well as self-efficacy beliefs. These effects in turn affect the athletes’ self-esteem, general competence, sport-specific competence, competitive anxiety, enjoyment, and intentions to remain involved in the sport. The findings also clarify how young boys internalize and interpret coaches’ messages through modification of achievement goal orientations and sport-specific efficacy beliefs.

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Headcheese is a meat sausage originated from Europe made from hog slaughter by-products. It is a much appreciated product in the South of Brazil which is increasingly established in the market, however it does not have official regulations yet. This study aimed to present the physicochemical characterization of headcheese in a western Santa Catarina industry supervised by Companhia Integrada de Desenvolvimento Agrícola de Santa Catarina and assess 10 different brands to find the relationship between chemical composition and texture profile analysis (TPA). Thus, the chemical composition, energy value, total nitrite, lipid oxidation and physical parameters (color and texture) were evaluated. The product exhibited great variability in moisture content, lipid and protein because the different formulations, processing and intrinsic and extrinsic characteristics of raw material. The utilization of offal provided higher cholesterol and iron levels, and the high content of collagen was accountable for the shear force responses (7.84 ± 1.68 N). The product showed higher amount of sodium, due to the use of additives, but calcium levels were compatible with other sausages. There was a predominance of polyunsaturated fatty acids and polyunsaturated fatty acids/saturated fatty acids ratio was more favorable than other sausage in the same category. Nitrite assured preservation effects and thus lower product levels of oxidation were observed. The high Water Activity and pH 6.5 showed that the product is susceptible to growth of pathogens and requires cooling for preservation. Its brownish occurred due to cooking and production of metmyoglobin. There was a strong positive correlation between collagen and attributes of TPA, especially for chewiness (r = 0.855). The use of Hierarchical Cluster Analysis and Principal Component Analysis were able to separate three groups based on the amount of collagen and texture attributes, especially hardness, gumminess and chewiness.

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Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alternative automated or semi-automated methods that cut dendrograms in multiple levels make assumptions about the data in hand. In an attempt to help the user to find patterns in the data and resolve ambiguities in cluster assignments, we developed MLCut: a tool that provides visual support for exploring dendrograms of heterogeneous data sets in different levels of detail. The interactive exploration of the dendrogram is coordinated with a representation of the original data, shown as parallel coordinates. The tool supports three analysis steps. Firstly, a single-height similarity threshold can be applied using a dynamic slider to identify the main clusters. Secondly, a distinctiveness threshold can be applied using a second dynamic slider to identify “weak-edges” that indicate heterogeneity within clusters. Thirdly, the user can drill-down to further explore the dendrogram structure - always in relation to the original data - and cut the branches of the tree at multiple levels. Interactive drill-down is supported using mouse events such as hovering, pointing and clicking on elements of the dendrogram. Two prototypes of this tool have been developed in collaboration with a group of biologists for analysing their own data sets. We found that enabling the users to cut the tree at multiple levels, while viewing the effect in the original data, is a promising method for clustering which could lead to scientific discoveries.

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The aim of the present study is to examine the mediating effect of social safeness on the relationship between forgiveness and life satisfaction. Participants were 311 university students who completed a questionnaire package that included the Trait Forgiveness Scale, the Social Safeness and Pleasure Scale, and the Life Satisfaction Scale. According to the results, social safeness and life satisfaction were predicted positively by forgiveness. On the other hand, life satisfaction was predicted positively by social safeness. In addition, social safeness mediated on the relationship between forgiveness and life satisfaction. The results were discussed in the light of the related literature and dependent recommendations to the area were given.

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Hintergrund: Für die Therapie maligner Neubildungen stellt die Strahlentherapie wichtige Behandlungsmöglichkeiten dar, die sich in den vergangenen Jahrzehnten deutlich weiterentwickelt haben. Hierzu gehört unter anderem die stereotaktische Radiochirurgie (SRS), die durch eine einmalige Applikation fokussierter hoher Strahlendosen in einem klar definierten Zeitraum gekennzeichnet ist. Von besonderer Bedeutung ist die SRS für die Behandlung von Hirnmetastasen. Fragestellung: Ziel dieses HTA-Berichts ist die Erstellung einer umfassenden Übersicht der aktuellen Literatur der Behandlung von Hirnmetastasen, um die Radiochirurgie als alleinige Therapie oder in Kombination mit Therapiealternativen bezüglich der medizinischen Wirksamkeit, Sicherheit und Wirtschaftlichkeit sowie ethischer, sozialer und juristischer Aspekte zu vergleichen. Methodik: Relevante Publikationen deutscher und englischer Sprache werden über eine strukturierte Datenbank- sowie mittels Handrecherche zwischen Januar 2002 und August 2007 identifiziert. Die Zielpopulation bilden Patienten mit einer oder mehreren Hirnmetastasen. Eine Beurteilung der methodischen Qualität wird unter Beachtung von Kriterien der evidenzbasierten Medizin (EbM) durchgeführt. Ergebnisse: Von insgesamt 1.495 Treffern erfüllen 15 Studien die medizinischen Einschlusskriterien. Insgesamt ist die Studienqualität stark eingeschränkt und mit Ausnahme von zwei randomisierte kontrollierte Studien (RCT) und zwei Metaanalysen werden ausschließlich historische Kohortenstudien identifiziert. Die Untersuchung relevanter Endpunkte ist uneinheitlich. Qualitativ hochwertige Studien zeigen, dass die Ergänzung der Ganzhirnbestrahlung (WBRT) zur SRS sowie der SRS zur WBRT mit einer verbesserten lokalen Tumorkontrolle und Funktionsfähigkeit einhergeht. Nur im Vergleich zur alleinigen WBRT resultiert die Kombination von SRS und WBRT jedoch bei Patienten mit singulären Hirnmetastasen, RPA-Klasse 1 (RPA = Rekursive Partitionierungsanalyse) und bestimmten Primärtumoren in verbesserter Überlebenszeit. Die Therapiesicherheit zeigt in beiden Fällen keine deutlichen Unterschiede zwischen den Interventionsgruppen. Methodisch weniger hochwertige Studien finden keine eindeutigen Unterschiede zwischen SRS und WBRT, SRS und Neurochirurgie (NC) sowie SRS und hypofraktionierter Strahlentherapie (HCSRT). Die Lebensqualität wird in keiner Studie untersucht. Durch die Datenbankrecherche werden 320 Publikationen für den ökonomischen Bereich identifiziert. Insgesamt werden fünf davon für den vorliegenden Health Technology Assessment (HTA)-Bericht verwendet. Die Qualität der Publikationen ist dabei unterschiedlich. Bezüglich der Wirtschaftlichkeit verschiedener Gerätealternativen ergibt sich, unter der Annahme gleicher Wirksamkeit, eine starke Abhängigkeit von der Anzahl der behandelten Patienten. Im Fall, dass die beiden Gerätealternativen nur für die SRS verwandt werden, liegen Hinweise vor, dass das Gamma Knife kostengünstiger sein kann. Andernfalls ist es sehr wahrscheinlich, dass der flexiblere modifizierte Linearbeschleuniger kostengünstiger ist. Nach einem HTA sind die Gesamtkosten für ein Gamma Knife und einen dedizierten Linearbeschleuniger ungefähr gleich, während ein modifizierter Linearbeschleuniger günstiger ist. Für ethische, juristische und soziale Fragestellungen werden keine relevanten Publikationen identifiziert. Diskussion: Insgesamt sind sowohl die Qualität als auch die Quantität identifizierter Studien stark reduziert. Es zeigt sich jedoch, dass die Prognose von Patienten mit Hirnmetastasen auch unter modernsten therapeutischen Möglichkeiten schlecht ist. Ausreichend starke Evidenz gibt es lediglich für die Untersuchung ergänzender WBRT zur SRS und der ergänzenden SRS zur WBRT. Ein direkter Vergleich von SRS und WBRT, SRS und NC sowie SRS und HCSRT ist hingegen nicht möglich. Die Wirtschaftlichkeit verschiedener Gerätealternativen hängt von der Patientenzahl und den behandelten Indikationen ab. Für ausgelastete dedizierte Systeme, liegen Hinweise vor, dass sie kostengünstiger sein können. Bei flexibler Nutzung scheinen modifizierte Systeme wirtschaftlich vorteilhafter. Diese Aussagen erfolgen unter der nicht gesicherten Annahme gleicher Wirksamkeit der Alternativen. Die Behandlungspräzision der Geräte kann Einfluss auf die Gerätewahl haben. Zu neueren Gerätealternativen wie z. B. dem CyberKnife liegen bisher keine Untersuchungen vor. Aus der wirtschaftlich vorteilhaften hohen Auslastung folgt aber eine begrenzte Geräteanzahl in einem vorgegebenen Gebiet, was evtl. einen gleichberechtigten, wohnortnahen Zugang zu dieser Technik erschwert. Schlussfolgerungen: Die Kombination SRS und WBRT geht mit einer verbesserten lokalen Tumorkontrolle und Funktionsfähigkeit gegenüber der jeweils alleinigen Therapie einher. Nur für Patienten mit singulärer Metastase resultiert dies in Vorteilen der Überlebenszeit. Qualitativ hochwertige Studien sind notwendig um die SRS direkt mit WBRT und NC zu vergleichen. Weiterhin sollte besonders die Lebensqualität in zukünftigen Studien mitberücksichtigt werden. Bei der Art des verwendeten Gerätes zeichnet sich eine deutliche Abhängigkeit der Wirtschaftlichkeit der Geräte von der erreichbaren Auslastung ab. Hohe Patientenzahlen bieten Vorteile für spezialisierte Systeme und bei geringeren Patientenzahlen ist die Flexibilität modifizierter System vorteilhaft. Weitere Studien z. B. zum CyberKnife sind wünschenswert. Insgesamt ist die Studienlage insbesondere für das deutsche Gesundheitssystem sehr mangelhaft.

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Satellites have great potential for diagnosis of surface air quality conditions, though reduced sensitivity of satellite instrumentation to the lower troposphere currently impedes their applicability. One objective of the NASA DISCOVER-AQ project is to provide information relevant to improving our ability to relate satellite-observed columns to surface conditions for key trace gases and aerosols. In support of DISCOVER-AQ, this dissertation investigates the degree of correlation between O3 and NO2 column abundance and surface mixing ratio during the four DISCOVER-AQ deployments; characterize the variability of the aircraft in situ and model-simulated O3 and NO2 profiles; and use the WRF-Chem model to further investigate the role of boundary layer mixing in the column-surface connection for the Maryland 2011 deployment, and determine which of the available boundary layer schemes best captures the observations. Simple linear regression analyses suggest that O3 partial column observations from future satellite instruments with sufficient sensitivity to the lower troposphere may be most meaningful for surface air quality under the conditions associated with the Maryland 2011 campaign, which included generally deep, convective boundary layers, the least wind shear of all four deployments, and few geographical influences on local meteorology, with exception of bay breezes. Hierarchical clustering analysis of the in situ O3 and NO2 profiles indicate that the degree of vertical mixing (defined by temperature lapse rate) associated with each cluster exerted an important influence on the shapes of the median cluster profiles for O3, as well as impacted the column vs. surface correlations for many clusters for both O3 and NO2. However, comparisons to the CMAQ model suggest that, among other errors, vertical mixing is overestimated, causing too great a column-surface connection within the model. Finally, the WRF-Chem model, a meteorology model with coupled chemistry, is used to further investigate the impact of vertical mixing on the O3 and NO2 column-surface connection, for an ozone pollution event that occurred on July 26-29, 2011. Five PBL schemes were tested, with no one scheme producing a clear, consistent “best” comparison with the observations for PBLH and pollutant profiles; however, despite improvements, the ACM2 scheme continues to overestimate vertical mixing.

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This study tested the hypothesis that social engagement (SE) with peers is a fundamental aspect of social competence during early childhood. Relations between SE and a set of previously validated social competence indicators, as well as additional variables derived from observation and sociometric interviews were assessed using both variable-centered and person-centered approaches (N = 1453, 696 girls) in 4 samples (3 U.S.A., 1 Portuguese). Directly observed SE was positively associated with broad-band measures of socially competent behavior, peer acceptance, being a target of peers' attention, and also with broad-band personality dimensions. Using individual Q-items significantly associated with SE in 3 of our 4 samples, a hierarchical cluster analysis yielded a 5-cluster solution that grouped cases efficiently. Tests on relations between cluster membership and the set of social competence and other variables revealed significant main effects of cluster membership in the full sample and within each individual sample, separately. With the exception of tests for peer negative preference, children in the lowest SE cluster also had significantly lower overall social competence, personality functioning scores than did children in higher SE clusters.

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Materia Suplementar disponível em: http://dx.doi.org/10.1037/dev0000142.supp

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Purpose: To develop a high-performance liquid chromatography (HPLC) fingerprint method for the quality control and origin discrimination of Gastrodiae rhizoma . Methods: Twelve batches of G. rhizoma collected from Sichuan, Guizhou and Shanxi provinces in china were used to establish the fingerprint. The chromatographic peak (gastrodin) was taken as the reference peak, and all sample separation was performed on a Agilent C18 (250 mm×4.6 mmx5 μm) column with a column temperature of 25 °C. The mobile phase was acetonitrile/0.8 % phosphate water solution (in a gradient elution mode) and the flow rate of 1 mL/min. The detection wavelength was 270 nm. The method was validated as per the guidelines of Chinese Pharmacopoeia. Results: The chromatograms of the samples showed 11 common peaks, of which no. 4 was identified as that of Gastrodin. Data for the samples were analyzed statistically using similarity analysis and hierarchical cluster analysis (HCA). The similarity index between reference chromatogram and samples’ chromatograms were all > 0.80. The similarity index of G. rhizoma from Guizhou, Shanxi and Sichuan is evident as follows: 0.854 - 0.885, 0.915 - 0.930 and 0.820 - 0.848, respectively. The samples could be divided into three clusters at a rescaled distance of 7.5: S1 - S4 as cluster 1; S5 - S8 cluster 2, and others grouped into cluster 3. Conclusion: The findings indicate that HPLC fingerprinting technology is appropriate for quality control and origin discrimination of G. rhizoma.

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Invasive insects that successfully establish in introduced areas can significantly alter natural communities. These pests require specific establishment criteria (e.g. host suitability) that, when known, can help quantify potential damage to infested areas. Emerald ash borer (Agrilus planipennis [Coleoptera: Buprestidae]) is an invasive phloem-feeding pest which is responsible for the death of millions of ash trees (Fraxinus spp. L.). Over 200 surviving ash trees were previously identified in the Huron-Clinton Metroparks located in southeast Michigan. Trees were assessed over a four year period and a hierarchical cluster analysis was performed on dieback, vigor, and presence of signs and symptoms, in order to place trees into one of three tolerance groups. The clustering of trees with different responses to emerald ash borer attack suggests that there are different tolerance levels in North American ash trees in southeastern Michigan, and these groups were designated as apparently tolerant, not tolerant and intermediate tolerance. Adult landing rates and evidence of adult emergence were significantly lower in the apparently tolerant group compared with the not tolerant group, but larval survival from eggs placed on trees did not differ between tolerance groups. Therefore, it appears that apparently tolerant trees survive because they are less attractive to adult beetles which results in fewer eggs being laid on them. Trees in the apparently tolerant group remained of higher vigor over the four years of the study. North American ash may survive the emerald ash borer epidemic due to natural variation and inherent resistance regardless of the lack of co-evolutionary history with emerald ash borer.

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Companies operating in the wood processing industry need to increase their productivity by implementing automation technologies in their production systems. An increasing global competition and rising raw material prizes challenge their competitiveness. Yet, too extensive automation brings risks such as a deterioration in situation awareness and operator deskilling. The concept of Levels of Automation is generally seen as means to achieve a balanced task allocation between the operators’ skills and competences and the need for automation technology relieving the humans from repetitive or hazardous work activities. The aim of this thesis was to examine to what extent existing methods for assessing Levels of Automation in production processes are applicable in the wood processing industry when focusing on an improved competitiveness of production systems. This was done by answering the following research questions (RQ): RQ1: What method is most appropriate to be applied with measuring Levels of Automation in the wood processing industry? RQ2: How can the measurement of Levels of Automation contribute to an improved competitiveness of the wood processing industry’s production processes? Literature reviews were used to identify the main characteristics of the wood processing industry affecting its automation potential and appropriate assessment methods for Levels of Automation in order to answer RQ1. When selecting the most suitable method, factors like the relevance to the target industry, application complexity or operational level the method is penetrating were important. The DYNAMO++ method, which covers both a rather quantitative technical-physical and a more qualitative social-cognitive dimension, was seen as most appropriate when taking into account these factors. To answer RQ 2, a case study was undertaken at a major Swedish manufacturer of interior wood products to point out paths how the measurement of Levels of Automation contributes to an improved competitiveness of the wood processing industry. The focus was on the task level on shop floor and concrete improvement suggestions were elaborated after applying the measurement method for Levels of Automation. Main aspects considered for generalization were enhancements regarding ergonomics in process design and cognitive support tools for shop-floor personnel through task standardization. Furthermore, difficulties regarding the automation of grading and sorting processes due to the heterogeneous material properties of wood argue for a suitable arrangement of human intervention options in terms of work task allocation.  The application of a modified version of DYNAMO++ reveals its pros and cons during a case study which covers a high operator involvement in the improvement process and the distinct predisposition of DYNAMO++ to be applied in an assembly system.