873 resultados para Testes de hipóteses estatísticas
Resumo:
The evaluation of seed vigor is an important factor for detection of lots of high quality seeds, so that development of procedures to evaluate the physiological potential has been an important tool in quality control programs seeds. In this sense the study aimed to adapt the methodologies of accelerated aging, electrical conductivity and potassium leaching to evaluate Moringa oleifera seed vigor LAM.. Therefore, four lots of moringa seeds were subjected to the germination tests, seedling emergence, speed of emergence index, emergence first count, length and dry mass of seedlings and cold test for their physiological characterization, in addition to accelerated aging, electrical conductivity and potassium leaching. The experimental design was completely randomized with four replications of 50 seeds and the means compared by Tukey test at 5% probability. For accelerated aging the periods were studied aging 12, 24 and 72 hours at 40, 42 and 45°C. For the electrical conductivity test was used to a temperature of 25°C for periods of 4, 8, 12, 16 and 24 hours of immersion in 75 to 125 mL of distilled water, using 25 to 50 seeds, and for potassium leaching test samples were used 25 to 50 seeds, placed in plastic cups containing 70 and 100 mL of distilled water at 25°C for periods of 1, 2, 3, 4, 5 and 6 hours. From the results obtained, it can be inferred that the methods best fit for the accelerated aging test Moringa seeds were a temperature of 40°C for 12 to 72 hours, 42°C 72 hours 45°C 24 hours . In the electrical conductivity test Moringa seeds, the combination of 50 seeds in 75 mL distilled water for a period of immersion of 4 hours and 50 seeds in 125 mL of 4 hours were efficient for the differentiation of lots of Moringa seeds as to vigor and for potassium leaching test moringa seeds, the combination of 50 seeds in 100mL of distilled water allowed the separation of lots of four levels of vigor, at 2 hours of immersion, showing promise in evaluate the quality of moringa seeds.
Resumo:
The evaluation of seed vigor is an important factor for detection of lots of high quality seeds, so that development of procedures to evaluate the physiological potential has been an important tool in quality control programs seeds. In this sense the study aimed to adapt the methodologies of accelerated aging, electrical conductivity and potassium leaching to evaluate Moringa oleifera seed vigor LAM.. Therefore, four lots of moringa seeds were subjected to the germination tests, seedling emergence, speed of emergence index, emergence first count, length and dry mass of seedlings and cold test for their physiological characterization, in addition to accelerated aging, electrical conductivity and potassium leaching. The experimental design was completely randomized with four replications of 50 seeds and the means compared by Tukey test at 5% probability. For accelerated aging the periods were studied aging 12, 24 and 72 hours at 40, 42 and 45°C. For the electrical conductivity test was used to a temperature of 25°C for periods of 4, 8, 12, 16 and 24 hours of immersion in 75 to 125 mL of distilled water, using 25 to 50 seeds, and for potassium leaching test samples were used 25 to 50 seeds, placed in plastic cups containing 70 and 100 mL of distilled water at 25°C for periods of 1, 2, 3, 4, 5 and 6 hours. From the results obtained, it can be inferred that the methods best fit for the accelerated aging test Moringa seeds were a temperature of 40°C for 12 to 72 hours, 42°C 72 hours 45°C 24 hours . In the electrical conductivity test Moringa seeds, the combination of 50 seeds in 75 mL distilled water for a period of immersion of 4 hours and 50 seeds in 125 mL of 4 hours were efficient for the differentiation of lots of Moringa seeds as to vigor and for potassium leaching test moringa seeds, the combination of 50 seeds in 100mL of distilled water allowed the separation of lots of four levels of vigor, at 2 hours of immersion, showing promise in evaluate the quality of moringa seeds.
Resumo:
The expansion of cultivated areas with genetically modified crops (GM) is a worldwide phenomenon, stimulating regulatory authorities to implement strict procedures to monitor and verify the presence of GM varieties in agricultural crops. With the constant growing of plant cultivating areas all over the world, consumption of aflatoxin-contaminated food also increased. Aflatoxins correspond to a class of highly toxic contaminants found in agricultural products that can have harmful effects on human and animal health. Therefore, the safety and quality evaluation of agricultural products are important issues for consumers. Lateral flow tests (strip tests) is a promising method for the detection both proteins expressed in GM crops and aflatoxins-contaminated food samples. The advantages of this technique include its simplicity, rapidity and cost-effective when compared to the conventional methods. In this study, two novel and sensitive strip tests assay were developed for the identification of: (i) Cry1Ac and Cry8Ka5 proteins expressed in GM cotton crops and; (ii) aflatoxins from agricultural products. The first strip test was developed using a sandwhich format, while the second one was developed using a competitive format. Gold colloidal nanoparticles were used as detector reagent when coated with monoclonal antibodies. An anti-species specific antibody was sprayed at the nitrocellulose membrane to be used as a control line. To validate the first strip test, GM (Bollgard I® e Planta 50- EMBRAPA) and non-GM cotton leaf (Cooker 312) were used. The results showed that the strip containing antibodies for the identification of Cry1Ac and Cry8Ka5 proteins was capable of correctly distinguishing between GM samples (positive result) and non-GM samples (negative result), in a high sensitivity manner. To validate the second strip test, artificially contaminated soybean with Aspergillus flavus (aflatoxin-producing fungus) was employed. Food samples, such as milk and soybean, were also evaluated for the presence of aflatoxins. The strip test was capable to distinguish between samples with and without aflatoxins samples, at a sensitivity concentration of 0,5 μg/Kg. Therefore, these results suggest that the strip tests developed in this study can be a potential tool as a rapid and cost-effective method for detection of insect resistant GM crops expressing Cry1Ac and Cry8Ka5 and aflatoxins from food samples.
Resumo:
The expansion of cultivated areas with genetically modified crops (GM) is a worldwide phenomenon, stimulating regulatory authorities to implement strict procedures to monitor and verify the presence of GM varieties in agricultural crops. With the constant growing of plant cultivating areas all over the world, consumption of aflatoxin-contaminated food also increased. Aflatoxins correspond to a class of highly toxic contaminants found in agricultural products that can have harmful effects on human and animal health. Therefore, the safety and quality evaluation of agricultural products are important issues for consumers. Lateral flow tests (strip tests) is a promising method for the detection both proteins expressed in GM crops and aflatoxins-contaminated food samples. The advantages of this technique include its simplicity, rapidity and cost-effective when compared to the conventional methods. In this study, two novel and sensitive strip tests assay were developed for the identification of: (i) Cry1Ac and Cry8Ka5 proteins expressed in GM cotton crops and; (ii) aflatoxins from agricultural products. The first strip test was developed using a sandwhich format, while the second one was developed using a competitive format. Gold colloidal nanoparticles were used as detector reagent when coated with monoclonal antibodies. An anti-species specific antibody was sprayed at the nitrocellulose membrane to be used as a control line. To validate the first strip test, GM (Bollgard I® e Planta 50- EMBRAPA) and non-GM cotton leaf (Cooker 312) were used. The results showed that the strip containing antibodies for the identification of Cry1Ac and Cry8Ka5 proteins was capable of correctly distinguishing between GM samples (positive result) and non-GM samples (negative result), in a high sensitivity manner. To validate the second strip test, artificially contaminated soybean with Aspergillus flavus (aflatoxin-producing fungus) was employed. Food samples, such as milk and soybean, were also evaluated for the presence of aflatoxins. The strip test was capable to distinguish between samples with and without aflatoxins samples, at a sensitivity concentration of 0,5 μg/Kg. Therefore, these results suggest that the strip tests developed in this study can be a potential tool as a rapid and cost-effective method for detection of insect resistant GM crops expressing Cry1Ac and Cry8Ka5 and aflatoxins from food samples.
Resumo:
Learning and memory are important mechanism for species, since its allows to recognize conspecifics, routes and food place. Sleep is one of behaviors known by facilitate learning, it is a widespread phenomenon, present in most of vertebrates lives and highly investigated in many aspects. It is known that sleep deprivation modifies physiologic behavioral processes in animals, however, sleep function in organism is still debatable. Hypothesis range from energy conservation to memory consolidation, with different roles in animal’s evolution. The zebrafish (Danio rerio) emerg e in the last years as vertebrate model in genetics and developmental biology and quickly become popular in behavioral studies, as learning and memory. Despite the fact that zebrafish is a diurnal animal and have well characterized sleep behavior, zebrafish fish still has advantages due to its small size and low cost of maintenance, whichestablishes this species as interesting model for research on sleep. In this study we aimed to analyze the effects of partial and total sleep deprivation on learning acquisition, as well the concomitant administration of alcohol and melatonin. For this, the research was divided in three phases, each one with a different kind of conditioning: (1) object Recognition, (2) avoidance conditioning and (3) appetitive conditioning. The results showed the fish partially sleep deprived and totally sleep deprived + et hanol could perform the tasks just like the control group, however, fish totally sleep deprived and totally sleep deprived + melatonin showed impairments in attention and memory during the tests. Our results suggest that only one night of sleep deprivation is enough to harm the zebrafish performance in cognitive tasks. In addition, ethanol exposure on the night previously the test seems to suppress the negative effects of sleep deprivation, while the melatonin treatment seems not to be enough to promote sleep state, at least on the protocol applied here.
Resumo:
Learning and memory are important mechanism for species, since its allows to recognize conspecifics, routes and food place. Sleep is one of behaviors known by facilitate learning, it is a widespread phenomenon, present in most of vertebrates lives and highly investigated in many aspects. It is known that sleep deprivation modifies physiologic behavioral processes in animals, however, sleep function in organism is still debatable. Hypothesis range from energy conservation to memory consolidation, with different roles in animal’s evolution. The zebrafish (Danio rerio) emerg e in the last years as vertebrate model in genetics and developmental biology and quickly become popular in behavioral studies, as learning and memory. Despite the fact that zebrafish is a diurnal animal and have well characterized sleep behavior, zebrafish fish still has advantages due to its small size and low cost of maintenance, whichestablishes this species as interesting model for research on sleep. In this study we aimed to analyze the effects of partial and total sleep deprivation on learning acquisition, as well the concomitant administration of alcohol and melatonin. For this, the research was divided in three phases, each one with a different kind of conditioning: (1) object Recognition, (2) avoidance conditioning and (3) appetitive conditioning. The results showed the fish partially sleep deprived and totally sleep deprived + et hanol could perform the tasks just like the control group, however, fish totally sleep deprived and totally sleep deprived + melatonin showed impairments in attention and memory during the tests. Our results suggest that only one night of sleep deprivation is enough to harm the zebrafish performance in cognitive tasks. In addition, ethanol exposure on the night previously the test seems to suppress the negative effects of sleep deprivation, while the melatonin treatment seems not to be enough to promote sleep state, at least on the protocol applied here.
Resumo:
A significant observational effort has been directed to investigate the nature of the so-called dark energy. In this dissertation we derive constraints on dark energy models using three different observable: measurements of the Hubble rate H(z) (compiled by Meng et al. in 2015.); distance modulus of 580 Supernovae Type Ia (Union catalog Compilation 2.1, 2011); and the observations of baryon acoustic oscilations (BAO) and the cosmic microwave background (CMB) by using the so-called CMB/BAO of six peaks of BAO (a peak determined through the Survey 6dFGS data, two through the SDSS and three through WiggleZ). The statistical analysis used was the method of the χ2 minimum (marginalized or minimized over h whenever possible) to link the cosmological parameter: m, ω and δω0. These tests were applied in two parameterization of the parameter ω of the equation of state of dark energy, p = ωρ (here, p is the pressure and ρ is the component of energy density). In one, ω is considered constant and less than -1/3, known as XCDM model; in the other the parameter of state equantion varies with the redshift, where we the call model GS. This last model is based on arguments that arise from the theory of cosmological inflation. For comparison it was also made the analysis of model CDM. Comparison of cosmological models with different observations lead to different optimal settings. Thus, to classify the observational viability of different theoretical models we use two criteria information, the Bayesian information criterion (BIC) and the Akaike information criteria (AIC). The Fisher matrix tool was incorporated into our testing to provide us with the uncertainty of the parameters of each theoretical model. We found that the complementarity of tests is necessary inorder we do not have degenerate parametric spaces. Making the minimization process we found (68%), for the Model XCDM the best fit parameters are m = 0.28 ± 0, 012 and ωX = −1.01 ± 0, 052. While for Model GS the best settings are m = 0.28 ± 0, 011 and δω0 = 0.00 ± 0, 059. Performing a marginalization we found (68%), for the Model XCDM the best fit parameters are m = 0.28 ± 0, 012 and ωX = −1.01 ± 0, 052. While for Model GS the best settings are M = 0.28 ± 0, 011 and δω0 = 0.00 ± 0, 059.
Resumo:
A significant observational effort has been directed to investigate the nature of the so-called dark energy. In this dissertation we derive constraints on dark energy models using three different observable: measurements of the Hubble rate H(z) (compiled by Meng et al. in 2015.); distance modulus of 580 Supernovae Type Ia (Union catalog Compilation 2.1, 2011); and the observations of baryon acoustic oscilations (BAO) and the cosmic microwave background (CMB) by using the so-called CMB/BAO of six peaks of BAO (a peak determined through the Survey 6dFGS data, two through the SDSS and three through WiggleZ). The statistical analysis used was the method of the χ2 minimum (marginalized or minimized over h whenever possible) to link the cosmological parameter: m, ω and δω0. These tests were applied in two parameterization of the parameter ω of the equation of state of dark energy, p = ωρ (here, p is the pressure and ρ is the component of energy density). In one, ω is considered constant and less than -1/3, known as XCDM model; in the other the parameter of state equantion varies with the redshift, where we the call model GS. This last model is based on arguments that arise from the theory of cosmological inflation. For comparison it was also made the analysis of model CDM. Comparison of cosmological models with different observations lead to different optimal settings. Thus, to classify the observational viability of different theoretical models we use two criteria information, the Bayesian information criterion (BIC) and the Akaike information criteria (AIC). The Fisher matrix tool was incorporated into our testing to provide us with the uncertainty of the parameters of each theoretical model. We found that the complementarity of tests is necessary inorder we do not have degenerate parametric spaces. Making the minimization process we found (68%), for the Model XCDM the best fit parameters are m = 0.28 ± 0, 012 and ωX = −1.01 ± 0, 052. While for Model GS the best settings are m = 0.28 ± 0, 011 and δω0 = 0.00 ± 0, 059. Performing a marginalization we found (68%), for the Model XCDM the best fit parameters are m = 0.28 ± 0, 012 and ωX = −1.01 ± 0, 052. While for Model GS the best settings are M = 0.28 ± 0, 011 and δω0 = 0.00 ± 0, 059.
Resumo:
In recent years we have observed, in Brazil, the expansion of democratic spaces, providing the use of participatory management strategies in common-pool areas. However, the existence of a co-management model does not guarantee its practice, neither that it will prevent the depletion of common features characterizing the tragedy proposed by Hardin. In this work we analysed the management of Acaú-Goiana RESEX which is located in the cities of Acaú (PB) and Goiana (PE), eight years after its legal creation. We evaluated how much the users of RESEX possess information (even if non formalized) regarding the common use of area and whether they exhibit collectivist values. We used as an interpretative tool the facilitators principles of common resource management (PGRC) identified by Elinor Ostrom and the questionnaire of human values proposed by Schwartz. The human values questionnaire was applied to 240 individuals, half beneficiary and the other half non-beneficiary, only the beneficiaries were submitted to the questionnaire of PGRC. Interviews were conducted in the period of May to September 2014. We tested three hypotheses: 1) The degree of dependence from RESEX resources will play an important role on indirect knowledge of the PGRC; 2) the inclusion of individuals in a communal area (RESEX) increases collectivists values; 3) higher collectivist value rates increases knowledge of PGRC. To this end, we defined levels of socio-economic dependence of RESEX resources, knowledge of PGRC and individual values. GLM statistic analysis of mean comparison and correlation were employed. Our results showed that the knowledge on six of the seven items analyzed in the basic principles (PGRC) is still low. The extended land area and the high number of users may be exerting a detrimental effect on the development of a co-management. Contrary to expected, it was not the dependency who influenced knowledge on the PGRC, but the time spent in contact with the RESEX. This indicates that direct contact with the environment, not the dependence of it, that raises awareness about PGRC. According to our hypothesis, individuals with collectivist values showed greater knowledge of PGRC and reduced hours of work within the RESEX, indicating a greater tendency of individuals refrain their use of the common resource. Individualistic values correlated with less knowledge of a PGRC. Among the beneficiaries, individuals with higher individualistic values had higher monthly income, while among non-beneficiaries there was no such correlation, demonstrating the economic advantages of individualism (free-riding) in situations of non-private use of resources. Our data emphasize the importance of guiding the main actors in the development of a co-participatory management in the direction of the basic principles, and to develop collectivist values among users of a common good can raise awareness of these principles.
Resumo:
The study about the celebrity endorsement has relevance for both the academia and businesses seeking to retain and attract customers through marketing communications. However, most researches conducted analyzes celebrities from the artistic or sports, and study the endorsement in print media or on TV. Few studies analyze the endorsement of influencers in social media. Observing this gap, the aim of this study is to verify if the endorsement of fashion bloggers influence on purchase intention of Brazilian consumers. In addition, other factors were analyzed for better understanding of the fashion consumer behavior: evaluation of the product, brand awareness, brand loyalty, product quality, involvement with fashion, and credibility of the endorser. Therefore, it held two studies. The first consisted of a qualitative exploratory research, which used focus groups to identify and understand how social media affect the behavior of consumers of fashion products. Among the main results of this study, we highlight the Instagram appointed unanimously as the main social media used by respondents for information on fashion, and the mention of blogger Thássia Naves as the main source of fashion reference in social media. In the second study was undertaken an experiment in which half of the sample had access to the image of a dress used by the blogger Thássia Naves on her Instagram, while the other half had access to dress image disclosed at the online store website of the product brand. The number of valid responses considered for the study was 465. To test the hypotheses of the study, we applied the t test for independent samples and ANOVA test for more than two groups. The survey results supported 5 of 8 hypotheses proposed. which were: The endorsement of the fashion blogger has a positive effect on purchase intention of the endorsed product (H1); The endorsement of the fashion blogger has a positive effect on the evaluation of the endorsed product (H2); The credibility of the fashion blogger has a positive effect on purchase intention of the endorsed product (H3); The credibility of the fashion blogger has a positive effect on the evaluation of the endorsed product (H4); and the credibility of the fashion blogger has a positive effect on brand awareness (H5). The other hypotheses have been disproved: The credibility of the fashion blogger has a positive effect on brand loyalty (H6); The credibility of the fashion blogger has a positive effect on the perception of quality (H7); and the credibility of the fashion blogger has a positive effect on involvement with fashion (H8).Within the scope of further analysis, it was found that involvement with fashion positively interfere in purchase intent, the evaluation of the product, brand awareness, loyalty to the brand, the pursuit of product quality and credibility of the endorser. Moreover, it was found that the frequency of access to Instagram for fashion information positively affects the purchase intention, in evaluating the product, the brand awareness in brand loyalty, involvement with fashion, and credibility endorser.
Resumo:
Os classificadores múltiplos são processos que utilizam um conjunto de modelos, cada um deles obtido pela aplicação de um processo de aprendizagem para um problema dado. Combinam vários classificadores individuais, em que para cada um deles são utilizados dados de treino para gerar limites de decisão diferentes. As decisões produzidas pelos classificadores individuais contém erros, que são combinados pelos classificadores múltiplos de forma a reduzir o erro total. Estes têm vindo a ganhar uma crescente importância devido principalmente ao facto de permitirem obter um melhor desempenho quando comparado com o obtido por qualquer um dos modelos que o compõem, principalmente quando as correlações entre os erros cometidos pelos modelos de base são baixos. A investigação nesta área tem crescido, tornando-se uma área de investigação importante. No entanto, para que o desempenho seja melhor do que o desempenho obtido por cada classificador individualmente, é necessário que cada um deles produza uma decisão diferente originando uma diversidade de classificação. Esta diversidade pode ser obtida tanto pela utilização de diferentes conjuntos de dados para o treino individual de cada classificador, como também pela utilização de diferentes parâmetros de formação de diferentes classificadores. Apesar disso, a utilização de classificadores múltiplos para aplicações no mundo real pode apresentar-se como dispendiosa e morosa. Tem-se notado nos dias de hoje que o desenvolvimento web tem vindo a crescer exponencialmente, assim como o uso de bases de dados. Desta forma, combinando a forte utilização da linguagem R para cálculos estatísticos com a crescente utilização das tecnologias web, foi implementado um protótipo que facilitasse a utilização dos classificadores múltiplos, mais precisamente, foi desenvolvida uma aplicação web que permitisse o teste para aprendizagem com classificadores múltiplos, sendo utilizadas as tecnologias PHP, R e MySQL. Com esta aplicação pretende-se que seja possível testar algoritmos independentes do software em que estejam desenvolvidos, não sendo necessariamente escritos em R. Nesta Dissertação foi utilizada a expressão “classificadores múltiplos” por ser a mais comum, apesar de ser redutora e existirem outros termos mais genéricos como por exemplo modelos múltiplos e ensemble learning.
Resumo:
Apesar de todos nós nos esquecermos, é comum atribuir-se os lapsos de memória às pessoas com idades avançadas. A evidência científica tem, no entanto, demonstrado que o esquecimento advém de uma multiplicidade de factores, como por exemplo, o excesso de trabalho, falta de descanso, entre outros. Neste estudo pretende-se saber se existe associação entre a tríade conceptual ansiedade, stress e depressão e os lapsos de memória, numa população em idade activa e com habilitações académicas de nível superior. A amostra é constituída por 68 professores que exercem a sua actividade profissional na Escola E.B. 2,3 de Cantanhede. A recolha dos dados foi efectuada recorrendo a: um questionário elaborado por nós, constituído por questões abertas e fechadas, uma Escala de Ansiedade, Depressão e Stress (EADS-21) e um Questionário de lapsos de memória (QLM). As análises estatísticas dos questionários foram efectuadas recorrendo ao programa informático SPSS (versão 15). As análises tiveram com objectivo final a testagem das hipóteses e tomaram em consideração a natureza métrica das variáveis. / In spite of all of we forget ourselves, it is common the lapses of memory are attributed to the persons with advanced ages. The scientific evidence has, however, when that the oblivion results from a multiplicity of factors was demonstrated, I eat for example, the excess of work, rest lack, between others. In this study one intends to know if there is association between the conceptual triad anxiety, stress and depression and the lapses of memory, in a population in active age and with academic competences of superior level. The sample is constituted by 68 teachers who practice his professional activity in the School E.B. 2,3 of Cantanhede. The gathering of the data was effectuated resorting to: a questionnaire prepared by us, constituted by questions open and shut, a Scale of Anxiety, Depression and Stress (EADS-21) and a Questionnaire of lapses of memory (QLM). The statistical analyses of the questionnaires were effectuated when there is resorting to the program informatics SPSS (version 15). The analyses had with final objective the testate of the hypotheses and took in consideration the metric nature of the variables.
Resumo:
In recent decades the public sector comes under pressure in order to improve its performance. The use of Information Technology (IT) has been a tool increasingly used in reaching that goal. Thus, it has become an important issue in public organizations, particularly in institutions of higher education, determine which factors influence the acceptance and use of technology, impacting on the success of its implementation and the desired organizational results. The Technology Acceptance Model - TAM was used as the basis for this study and is based on the constructs perceived usefulness and perceived ease of use. However, when it comes to integrated management systems due to the complexity of its implementation,organizational factors were added to thus seek further explanation of the acceptance of such systems. Thus, added to the model five TAM constructs related to critical success factors in implementing ERP systems, they are: support of top management, communication, training, cooperation, and technological complexity (BUENO and SALMERON, 2008). Based on the foregoing, launches the following research problem: What factors influence the acceptance and use of SIE / module academic at the Federal University of Para, from the users' perception of teachers and technicians? The purpose of this study was to identify the influence of organizational factors, and behavioral antecedents of behavioral intention to use the SIE / module academic UFPA in the perspective of teachers and technical users. This is applied research, exploratory and descriptive, quantitative with the implementation of a survey, and data collection occurred through a structured questionnaire applied to a sample of 229 teachers and 30 technical and administrative staff. Data analysis was carried out through descriptive statistics and structural equation modeling with the technique of partial least squares (PLS). Effected primarily to assess the measurement model, which were verified reliability, convergent and discriminant validity for all indicators and constructs. Then the structural model was analyzed using the bootstrap resampling technique like. In assessing statistical significance, all hypotheses were supported. The coefficient of determination (R ²) was high or average in five of the six endogenous variables, so the model explains 47.3% of the variation in behavioral intention. It is noteworthy that among the antecedents of behavioral intention (BI) analyzed in this study, perceived usefulness is the variable that has a greater effect on behavioral intention, followed by ease of use (PEU) and attitude (AT). Among the organizational aspects (critical success factors) studied technological complexity (TC) and training (ERT) were those with greatest effect on behavioral intention to use, although these effects were lower than those produced by behavioral factors (originating from TAM). It is pointed out further that the support of senior management (TMS) showed, among all variables, the least effect on the intention to use (BI) and was followed by communications (COM) and cooperation (CO), which exert a low effect on behavioral intention (BI). Therefore, as other studies on the TAM constructs were adequate for the present research. Thus, the study contributed towards proving evidence that the Technology Acceptance Model can be applied to predict the acceptance of integrated management systems, even in public. Keywords: Technology