566 resultados para Inventories
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O Cerrado ainda recebe pouca atenção no que diz respeito à ornitologia embora seja a única savana tropical do mundo considerada um hotspot de biodiversidade. O cerradão é uma das fisionomias menos conhecidas e mais desmatadas do bioma e poucos levantamentos avifaunísticos foram realizados nessas florestas. Para revisar os estudos sobre aves de cerradão e complementar os poucos inventários já existentes realizados nesse tipo florestal no estado de São Paulo, foi realizado um levantamento bibliográfico dos estudos publicados sobre aves de cerradão. Adicionalmente foi conduzido um levantamento das aves de um fragmento de cerradão de 314 ha localizado na região central do estado de São Paulo, Brasil, entre setembro de 2005 e dezembro de 2006 com a utilização de transecções lineares com raio ilimitado de detecção. de 95 estudos envolvendo aves de cerradão, apenas 17 (18%) discriminaram espécies registradas dentro desta fisionomia daquelas que obtiveram registros em outros ambientes de Cerrado. Exceto por um estudo, nenhuma outra investigação encontrou mais de 64 espécies de aves neste ambiente, resultado compartilhado com diversas regiões do Brasil e também da Bolívia. Diferenças no número de espécies entre cerradões não puderam ser atribuídas à degradação dos ambientes estudados ou tamanho de fragmento. Considerando os registros de cerradões no Brasil e na Bolívia, a compilação de dados acumulou 250 espécies distribuídas em 36 famílias e 15 ordens. Durante nossos trabalhos de campo em localidade do interior paulista foram registradas 48 espécies distribuídas em 20 famílias, incluindo o fruxu-do-cerradão (Neopelma pallescens), ameaçada em São Paulo, e o soldadinho (Antilophia galeata), quase ameaçada no estado e endêmica do Cerrado. Dentre as espécies mais abundantes no fragmento, nenhuma delas é ameaçada ou endêmica do bioma.
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Representative Life-Cycle Inventories (LCIs) are essential for Life-Cycle Assessments (LCAs) quality and readiness. Because energy is such an important element of LCAs, appropriate LCIs on energy are crucial, and due to the prevalence of hydropower on Brazilian electricity mix, the frequently used LCIs are not representative of the Brazilian conditions. The present study developed a LCI of the Itaipu Hydropower Plant, the major hydropower plant in the world, responsible for producing 23.8% of Brazil's electricity consumption. Focused on the capital investments to construct and operate the dam, the LCI was designed to serve as a database for the LCAs of Brazilian hydroelectricity production. The life-cycle boundaries encompass the construction and operation of the dam, as well as the life-cycles of the most important material and energy consumptions (cement, steel, copper, diesel oil, lubricant oil), as well as construction site operation, emissions from reservoir flooding, material and workers transportation, and earthworks. As a result, besides the presented inventory, it was possible to determine the following processes, and respective environmental burdens as the most important life-cycle hotspots: reservoir filling (CO(2) and CH(4) emission: land use); steel life-cycle (water and energy consumption; CO, particulates, SO(x) and NO(x) emissions); cement life-cycle (water and energy consumption; CO(2) and particulate emissions); and operation of civil construction machines (diesel consumption; NO(x) emissions). Compared with another hydropower studies, the LCI showed magnitude adequacy, with better results than small hydropower, which reveals a scale economy for material and energy exchanges in the case of ltaipu Power Plant. (C) 2009 Elsevier Ltd. All rights reserved.
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Internet data collection is becoming increasingly popular in all research fields dealing with human perceptions, behaviors and opinions. Advantages of internet data collection, when compared to the traditional paper-and-pencil format, include reduced costs, automatic database creation, and the absence of researcher-related bias effects, such as availability and complete anonymity. However, the validity and reliability of internet gathered data must be established, in comparison to the usual paper-and-pencil accepted formats, before an inferential analysis can be done. In this study, we compared questionnaire data gathered from the internet with that from the traditional paper-and-pencil in a sample of college students. The questionnaires used were the Maslach Burnout Inventory - Student Survey (MBI-SS), the Oldenburg Burnout Inventory (OBI-SS) and the Copenhagen Burnout Inventory (CBI-SS). Data was gathered through a within-subject cross randomized and counterbalanced design, on both internet and paper-and-pencil formats. The results showed no interference in the application order, and a good reliability for both formats. However, concordance between answers was generally higher in the paper-and-pencil format than on the internet. The factorial structure was invariant in the three burnout inventories. Data gathered in this study supports the Internet as a convenient, user-friendly, comfortable and secure data gathering method which does not affect the accepted factorial structures existent in the paper format of the three burnout inventories used. (C) 2011 Elsevier Ltd. All rights reserved.
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The aboveground biomass content of a region can be estimated by either direct or indirect methods. Direct methods correspond to the biomass content determination with scales and extrapolation of results to larger areas. It is a destructive and very laborious procedure. Indirect methods utilize formulas whose entrance parameters are obtained from forest inventories. Forest inventories are made with the purpose to plan exploration and land use and the inventory data are frequently not suitable for biomass estimation. Problems with both methods increase in the Amazon region, where little information is available on forest biomass. The objective of this paper is to establish, by comparing the application of the indirect and direct methods in the determination of the biomass, the more appropriate indirect formulation to represent the characteristic vegetation of a region in the amazonian forest. A 0.2 hectare area was chosen, which was part of a major forest clearing experiment conducted in Tomé Açu, a town located 250 km south of Belém, the capital of the Brazilian state of Pará. The entire biomass in the area was weighted with scales during the three weeks that followed the cut of the forest in July 1994. A detailed inventory was carried out in the area and then the indirect method was applied in the data. Seven different formulas for determining biomass were used. Comparison of the data of real mass and the mass obtained through the application of the seven formulas indicated that the more suitable for the region is given by FW = α · φβ · Hγ, where FW is total fresh weight (kg), φ is the diameter at breast height (cm), H is the total height of the tree and α, β and γ are regression coefficients (equal to 0.026, 1.529 and 1.747, respectively).
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Introduction: Body dysmorphic disorder (BDD) and obsessive-compulsive disorder (OCD) have several similarities and are included among the obsessive-compulsive spectrum of disorders. However, the content of preoccupations and level of insight of BDD patients differ from OCD patients. Objective: To compare the level of insight regarding obsessive-compulsive symptoms (OCS) and other clinical features in OCD patients with and without comorbid BDD. Methods: We evaluated 103 OCD patients (n=25, comorbid BDD), according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria using the Structured Clinical Interview for DSM-IV, the Yale-Brown Obsessive-Compulsive Scale, the University of Sao Paulo Sensory Phenomena Scale, the Beck Depression and Anxiety Inventories, and the Brown Assessment of Beliefs Scale. Resylts: The study groups differed significantly on several clinical features, including level of insight. A worse level of insight regarding OCS was independently associated with the presence of comorbid BDD. Lower educational level, more psychiatric comorbidities, presence of somatic and hoarding obsessions, and presence of intrusive images were associated with BDD comorbidity, even after adjusting for possible confounders. Conclusion: The presence of BDD in OCD patients is associated with poorer insight into obsessional beliefs and higher morbidity, reflected by lower educational levels and higher number of psychiatric comorbid disorders in general.
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Introduction. Complex relations between brain and psychopathology have attracted the interest of researchers, aiming to clarify the neurobiological mechanisms of depression in Parkinson's disease, obviously in addiction to mental features. Aims. The association of motor impairment and decline of personal autonomy with severity of depressive symptoms was the hypothesis of the present study. Aiming to check this hypothesis, the objective of this study consisted in investigating relationships between the severity of depressive symptoms and motor characteristics of Parkinson's disease. Patients and methods. Thirty patients (53 to 80 year-old) with medical diagnosis of idiopathic Parkinson's disease in initial clinic stages were studied. The Unified Parkinson's Disease Rating Scale, Hoehn-Yahr Scale, and Schwab & England Scale were used to assess the clinic signs and symptoms. The depressive symptoms were identified by complete anamnesis, examination of mental condition, and the Hamilton Rating Scale for Depression and the Anxiety and Depression Scale. Statistical analysis was performed by Pearson's correlation and multiple regression analysis. Results. A significant correlation of severity of depression symptoms with disease stage (p < 0.02), with motor signs (p < 0.008), and with functional performance (p < 0.007) was found. Conclusion. There was significant association between motor impairment and severity of depressive symptoms, and between depression and early disease onset or prolonged duration of Parkinson's disease. © 2007, Revista de Neurología.
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The aim of this field study was to verify if there is a relation between obesity and symptoms of depression, anxiety and hopelessness in 40 women aged 30,35 on average (± 8,60), divided into two groups: non-sedentary ones, characterized for doing a physical activity at least three times a week for three weeks in a row and sedentary ones, characterized by not practicing any type of regular physical activity when recruited. The method consisted of: objective evaluations of humor, through Beck Inventories of Anxiety (BAI), Depression (BDI) and Hopelessness (BHS) and Physical Evaluation, including total body mass, height, waist and hip circumferences and skin folds thickness. Calculations of the body mass index (BMI), of the waist/hip index (WHI) and of the percentage of corporal fat (%F) were performed in order to evaluate the presence and level of obesity. Results of the analysis of regression to square minimum supported the initial hypothesis concerning the existence of a relation between obesity and psychic symptoms only in sedentary women (BDI/WHI, p=0,035, BDI/BMI, p=0,009, BDI/%G, p=0,019, BAI/BMI, p=0,009, BAI/%G, p=0,037, BHS/WHI, p=0,025, BHS/BMI, p=0,041), once the relation of dependency could not be confirmed in non-sedentary women BDI/WHI, p=0,750, BDI/BMI, p=0,141, BDI/%G, p=0,064, BAI/WHI, p=0,729, BAI/BMI, p=0,384, BAI/%G, p=0,246, BHS/WHI, p=0,491, BHS/BMI, p=0,986, BHS/%G, p=0,322) and the greater the level of obesity, the greater the level of psychic symptoms in both groups. These observations seem to point out that the practice of physical activities was a factor of minimization of presence and intensity of psychic symptoms in non-sedentary women.
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Incluye Bibliografía
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Objective: The objective is to evaluate the prevalence and associated clinical characteristics of eating disorders (ED) in patients with obsessive-compulsive disorder (OCD). Method: This is a cross-sectional study comparing 815 patients with OCD. Participants were assessed with structured interviews and scales: SCID-I, Y-BOCS, (Int J Eat Disord 2010; 43:315-325) Dimensional Y-BOCS, BABS, Beck Depression and Anxiety Inventories. Results: Ninety-two patients (11.3%) presented the following EDs: binge-eating disorders [= 59 (7.2%)], bulimia nervosa [= 16 (2.0%)], or anorexia nervosa [= 17 (2.1%)]. Compared to OCD patients without ED (OCD-Non-ED), OCD-ED patients were more likely to be women with previous psychiatric treatment. Mean total scores in Y-BOCS, Dimensional Y-BOCS, and BABS were similar within groups. However, OCD-ED patients showed higher lifetime prevalence of comorbid conditions, higher anxiety and depression scores, and higher frequency of suicide attempts than did the OCD-Non-ED group. Primarily diagnosed OCD patients with comorbid ED may be associated with higher clinical severity. Discussion: Future longitudinal studies should investigate dimensional correlations between OCD and ED. © 2009 Wiley Periodicals, Inc.
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Includes bibliography
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Includes bibliography
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Sugarcane is an important crop for the Brazilian economy and roughly 50% of its production is used to produce ethanol. However, the common practice of pre-harvest burning of sugarcane straw emits particulate material, greenhouse gases, and tropospheric ozone precursors to the atmosphere. Even with policies to eliminate the practice of pre-harvest sugarcane burning in the near future, there is still significant environmental damage. Thus, the generation of reliable inventories of emissions due to this activity is crucial in order to assess their environmental impact. Nevertheless, the official Brazilian emissions inventory does not presently include the contribution from pre-harvest sugarcane burning. In this context, this work aims to determine sugarcane straw burning emission factors for some trace gases and particulate material smaller than 2.5μm in the laboratory. Excess mixing ratios for CO2, CO, NOX, UHC (unburned hydrocarbons), and PM2.5 were measured, allowing the estimation of their respective emission factors. Average estimated values for emission factors (g kg-1 of burned dry biomass) were 1,303 ± 218 for CO2, 65 ± 14 for CO, 1.5 ± 0.4 for NOX, 16 ± 6 for UHC, and 2.6 ± 1.6 for PM2.5. These emission factors can be used to generate more realistic emission inventories and therefore improve the results of air quality models. © 2012 by the authors; licensee MDPI, Basel, Switzerland.
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Objective: to expand the evaluation of a new ovarian response prediction index (ORPI), which was based on the AMH, AFC and age, and to verify its reability as a predictor of ovarian response to stimulation in assisted reproductive technology (ART) cycles. Methods: A total of 129 patients enrolled in the ICSI programme were included. The ORPI values were calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2-9 mm), and the result was divided by the age (years) of the patient (ORPI=(AMH × AFC)/Patient age). Results: Spearman's test revealed significant correlations (P<0.0001) between the ORPI and the number of oocytes collected and the number of follicles. Logistic regression revealed that ORPI values were significantly associated with the likelihood of collecting ≥4 oocytes (OR=45.56), ≥4 MII oocytes (OR=6.01) and ≥15 oocytes (OR=6.15; P<0.0001). Based on the ROC curves, the ORPI accurately predicted a low ovarian response (<4 oocytes retrieved; area under the curve (AUC):0.91), collection of ≥4 MII oocytes (AUC:0.85) and an excessive ovarian response (≥15 oocytes retrieved; AUC:0.89). Conclusions: The ORPI exhibited an excellent ability to predict a low ovarian response and a good ability to predict a collection of ≥ 4 MII oocytes, an excessive ovarian response. The ORPI might be used to improve the cost-benefit ratio of ovarian stimulation regimens by guiding the selection of medications and by modulating the doses and regimens according to the actual needs of the patients. © Todos os direitos reservados a SBRA - Sociedade Brasileira de Reprodução Assistida.
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Background Apathy is a frequent neuropsychiatric condition in neurodegenerative disorders, depression, and often in mild cognitive impairment. The Apathy Inventory (AI) is a reliable instrument for improving the accuracy of the apathy diagnosis. The aim was to establish the validity of the Apathy Inventory for the Brazilian community. Methods We established the concurrent validity, internal consistency, inter-rater reliability, and the sensitivity and specificity of AI for the Brazilian community in a cohort of 175 individuals with Alzheimer's disease, Parkinson's disease, depression, mild cognitive impairment, and healthy controls. The three dimensions of the AI (emotional blunting, lack of initiative, and lack of interest) were compared with the Apathy domain of the Neuropsychiatric Inventory-Clinician rating scale (NPI-C) in an independent scheme. Results The analyses demonstrated high correlation coefficients in AI's individual dimensions and in AI-total score (F = 0.965). Concerning the NPI-C/Apathy domain, intra-class correlation coefficients were also high (F = 0.977). Concurrent validity was high according to both raters on AI dimensions × NPI-C/Apathy domain and regarding total score (rater 1: rho = 0.956 vs. rater 2: rho = 0.970). The internal consistency of the AI was also high concerning the AI's individual dimensions and total score (rater 1: 0.945 vs. rater 2: 0.958). Conclusion We observed high internal consistency, high concurrent validity, and inter-rater reliability of the Apathy Inventory. In addition, we found that its sensitivity and specificity were high. We suggest that the Brazilian version of the Apathy Inventory would be an appropriate instrument to identify the apathy syndrome in Brazilian patients. © 2012 John Wiley & Sons, Ltd.
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Incluye Bibliografía