scholarly journals Variation in Deadwood Microsites in Areas Designated under the Habitats Directive (Natura 2000)

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 486
Author(s):  
Leszek Bujoczek ◽  
Stanisław Zięba ◽  
Małgorzata Bujoczek
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Habitat Type ◽  
Natura 2000 ◽  
Habitats Directive ◽  
Managed Forests ◽  
Habitat Types ◽  
Living Tree

The continuing decline in biodiversity presents a major environmental protection challenge. The conservation of sufficiently extensive and diverse habitats requires an array of coordinated actions, often involving large areas. While a set of conservation objectives have been defined for the Natura 2000 network, no universal methods of accomplishing them have been specified, and so they must be designed by individual Member States. Deadwood volume and the density of large deadwood pieces are widely used for evaluating the quality of forest habitat types designated under the Habitats Directive. In the present study, data from 5557 sample plots were used to evaluate the mean values of the two deadwood indicators as well as the ratio of deadwood volume to living tree volume for each of the 13 habitat types in Poland. In addition, a logistic regression model was constructed to evaluate the effects of terrain, site, and tree stand characteristics as well as protection type on deadwood volume in Natura 2000 areas. Mean deadwood volume varied greatly between habitat types, with the lowest values found for Central European lichen Scots pine forests (91T0–2.5 m3 ha−1) and Old acidophilous oak woods (9190–4.4 m3 ha−1), and the highest for Riparian mixed forests (91F0–43.1 m3 ha−1) and Acidophilous Picea forests of the montane to alpine levels (9410–55.4 m3 ha−1). The ratio of deadwood volume to living tree volume ranged from approx. 1%–17%. Additionally, the presence of large deadwood differed among habitat types: in some, there were no deadwood pieces with a diameter of ≥50 cm, while their maximum density was 6.1 pieces ha−1. The logistic regression model showed that the likelihood of a habitat type to have a ‘favorable conservation status’ as defined by deadwood abundance (a threshold of at least 20 m3 ha−1 according to Polish manuals on habitat type evaluation) increased with sample plot elevation, site fertility, and moisture, as well as stand age and volume. Positive effects were also observed for forests under strict and active protection versus managed forests. Planned efforts are necessary to enhance the quality of habitats with insufficient deadwood, especially in managed forests. Special attention should be given to areas that are readily accessible due to gentle terrain and low site moisture. Furthermore, younger stands on less fertile sites may require intervention to promote deadwood accumulation. We recommend retaining a certain proportion of mature stands until natural death and decomposition. Increasing the density of large deadwood is currently one of the most pressing conservation needs in most habitat types.

scholarly journals Quality of Care in Long-Term Hemodialysis Patients in Mexico

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Torres-Díaz JA ◽  
◽  
Gonzalez-Gonzalez JG ◽  
Zúniga-Hernández JA ◽  
Olivo-Gutiérrez MC ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Quality Of Care ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
World Literature ◽  
Logistic Regression Model ◽  
Hospital Admissions ◽  
Cross Sectional

Introduction: The End Stage Renal Disease (ESRD) is one of the leading causes of mortality in Mexico. The quality of care these patients receive remains uncertain. Methods: This is a descriptive, single-center and cross-sectional cohort study. The KDOQI performance measures, hemoglobin level >11 g/dL, blood pressure <140/90 mmHg, serum albumin >4 g/dL and use of arteriovenous fistula of patients with ESRD on hemodialysis were analyzed in a period of a year. The association between mortality and the KDOQI objectives was evaluated with a logistic regression model. A linear regression model was also performed with the number of readmissions. Results: A total of 124 participants were included. Participants were categorized by the number of measures completed. Fourteen (11.3%) of the participants did not meet any of the goals, 51 (41.1%) met one, 43 (34.7%) met two, 11 (8.9%) met three, and 5 (4%) met the four clinical goals analyzed. A mortality of 11.2% was registered. In the logistic regression model, the number of goals met had an OR for mortality of 1.1 (95% CI 0.5-2.8). In the linear regression model, for the number of readmissions, a beta correlation with the number of KDOQI goals met was 0.246 (95% CI -0.872-1.365). Conclusion: The attainment of clinical goals and the mortality rate in our center is similar to that reported in the world literature. Our study did not find a significant association between compliance with clinical guidelines and mortality or the number of hospital admissions in CKD patients on hemodialysis.

Site occupancy and density of sympatric Gaboon viper (Bitis gabonica) and nose-horned viper (Bitis nasicornis)

2006 ◽  
Vol 22 (5) ◽  
pp. 555-564 ◽  
Author(s):  
Luca Luiselli
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Rain Forest ◽  
Logistic Regression Model ◽  
Distance Sampling ◽  
Site Occupancy ◽  
Information Criterion ◽  
Habitat Types ◽  
Forest Environment ◽  
Swamp Forest

The presence and density of two sympatric, large-sized vipers (the Gaboon viper, Bitis gabonica and the nose-horned viper, Bitis nasicornis) were studied along several transects, during both dry and wet seasons, and at different times of day, in southern Nigeria (West Africa). Three habitat types were found along the various transects (mature rain forest (MF), secondary rain forest (SF), swamp forest (SW)). The detection probabilities for these vipers were modelled with a set of competing models, and the various models were ordered by Akaike Information Criterion procedures. Two classes of models were used: the single-season model, and the multi-species model. The best models (single-season model) suggested that: for the Gaboon viper, habitat types SF and SW were particularly important in detecting this species, especially during the rainy season at 08h00–16h00. For nose-horned vipers, the best models had SW and MF as site-covariates. Application of the multi-species model revealed that there were different detection functions if both species are present at a site, with a ‘negative’ interaction of occupancy between the species. Females and males were similarly detectable in a logistic regression model, but feeding status and pregnancy slightly increased detection probability in a logistic regression model. Viper density was modelled by a DISTANCE sampling procedure. The density of one species tended to be inversely correlated to the density of the other, suggesting that (1) the rain-forest environment does not support abundant populations of both vipers when sympatric, and (2) the two Bitis species subtly partition the habitat resources.

scholarly journals Assessment of the Quality of Antenatal Care Services and the Associated Risk Factors in Tanzania

2020 ◽  
Author(s):  
Abdalla Hussein ◽  
Jackline Mbishi
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Service Provision ◽  
Logistic Regression Model ◽  
Wealth Index ◽  
Factors Associated ◽  
Associated Risk Factors

Abstract Background This study gives the finding of the assessment made on the quality of antenatal care (ANC) services received by women in Tanzania during pregnancy and the associated risk factors. Methods We used the data from the 2015-16Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS). The sample included 6,924 women who gave birth in the five years before the survey and having at least one ANC visit in the most current pregnancy. The quality of ANC services provided was assessed using six questions on receipt of recommended components of ANC services. The responses of the individual components were summed up to generate the ANC service provision score. In so doing, the women who received all six components were considered to receive good quality ANC services. A weighted logistic regression model was employed in the examination of the factors associated with the quality of ANC services. Results The average service provision score was 4.4 out of a total of 6. Approximately, 31% of the women received good quality ANC services. The most provided ANC components were blood sample measurement (87%) and iron tablets/syrup (82.1%). The urine sample (60%) was the least offered ANC service. The results of the adjusted logistic regression model revealed that age, place of residence, education level, the time of the first ANC visit, number of ANC visits, and family wealth index were significant factors associated with the quality of ANC services. Conclusions In terms of service provision, the quality of ANC service in Tanzania is suboptimal. With differences by observed risk factors, there must be more efforts to strengthen the quality of ANC services and to remove the differences.

scholarly journals Characteristics of the agricultural sector of Aguascalientes, challenges and perspectives

2021 ◽  
pp. 8-17
Author(s):  
Ariel VÁZQUEZ-ELORZA ◽  
Yair ROMERO-ROMERO ◽  
Iván ARAOZ-BALTAZAR
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Social Service ◽  
Logistic Regression Model ◽  
Agricultural Sector ◽  
Geographic Location ◽  
Value Chains ◽  
Comparative Advantages ◽  
Access And Quality

This research aims to identify the characteristics of the population in the agricultural sector of Aguascalientes. This entity has comparative advantages due to its strategic geographic location to supply a demanding market for food products. It is estimated that there are approximately 17,234 heads of households dedicated to agricultural businesses with an average age between 49 and 57 years. Furthermore, 36.43% of the members have food insecurity problems (mild, moderate, severe). We used a logistic regression model; socioeconomic variables of the sector are analyzed. The results show that the agricultural population has high levels of social service deficiencies. It is suggested the importance of undertaking social public policies that address problems related to the rational use of water, protected agriculture, access and quality of public services, promote value chains in the sector, and undertake a process of productive reconversion.

Too Late for Luck: A Comparison of Post-Furman Exonerations and Executions of the Innocent

2005 ◽  
Vol 51 (4) ◽  
pp. 498-520 ◽  
Author(s):  
Talia Roitberg Harmon ◽  
William S. Lofquist
Keyword(s):  
Logistic Regression ◽  
Quantitative Analysis ◽  
Regression Model ◽  
Capital Punishment ◽  
Logistic Regression Model ◽  
Primary Objective ◽  
Case Record ◽  
Case Outcome ◽  
Record Type

This study is a quantitative analysis designed to compare two groups of factually innocent capital defendants: those who were exonerated and those who were executed. There are a total of 97 cases in the sample, including 81 exonerations and 16 executions. The primary objective of the authors is to identify factors that may predict case outcomes among capital defendants with strong claims of factual innocence. Through the use of a logistic regression model, the following variables were significant predictors of case outcome (exoneration vs. execution): allegations of perjury, multiple types of evidence, prior felony record, type of attorney at trial, and race of the defendant. These results point toward significant problems with the administration of capital punishment deriving primarily from the quality of the case record created at trial.

scholarly journals Quality of life of patients with intestinal parasites assessed through a logistic regression model

10.3823/2208 ◽  
2016 ◽  
Author(s):  
Ulanna Maria Bastos Cavalcante ◽  
Silvia Adelaide Linhares de Melo ◽  
Iasmin Freitas Pimentel Pequeno ◽  
Ana Carolina da Silva Monteiro ◽  
Hemílio Fernandes Campos Coelho ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Intestinal Parasites

scholarly journals The Impact of Sedation on Adenoma Detection Rate and Cecal Intubation Rate in Colonoscopy

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Qiongmei Zhang ◽  
Zhiyu Dong ◽  
Yuanxi Jiang ◽  
Tingting Zhan ◽  
Junwen Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Detection Rate ◽  
Logistic Regression Model ◽  
Independent Factor ◽  
Intubation Rate ◽  
Cecal Intubation ◽  
Adenoma Detection ◽  
Cecal Intubation Rate

Purpose. To explore the effect of sedation on the quality of colonoscopy. Methods. The data collected from the Digestive Endoscopy Center of Shanghai Tongji Hospital from March 2012 to June 2019 were retrospectively analyzed. The rate of sedation and quality metrics of colonoscopy such as adenoma detection rate (ADR) and cecal intubation rate (CIR) were calculated. The logistic regression model was used to explore the relationship between sedation and quality metrics of colonoscopy. The interaction effects between experience of endoscopists and sedation on quality of colonoscopy was also investigated in subgroups stratified by total number of colonoscopies during career using the logistic regression model. Results. A total of 63,417 colonoscopies including 11,417 colonoscopies without sedation and 52,000 colonoscopies with sedation were enrolled in our study. The proportion of colonoscopy with sedation was 82.0%. The ADR and CIR were all significantly higher in cases with sedation compared with cases without sedation (ADR, 22.5% vs. 17.0%, p < 0.001 ; CIR, 94.7% vs. 91.2%, p < 0.001 ). Multivariate analysis showed that the sedation was an independent factor associated with adenoma detection ( OR = 1.448 , 95% CI: 1.372~1.529, p < 0.001 ) and cecal intubation ( OR = 1.560 , 95% CI: 1.446~1.683, p < 0.001 ). A total of 14 endoscopists with complete colonoscopy data in our database and corresponding 20,949 colonoscopies data were enrolled for further analysis. The logistic regression model yielded a similar result that sedation was an independent factor on adenoma detection and cecal intubation when the factor, experience of endoscopists, was also entered into the model as a confounder (adenoma detection, OR = 1.408 , 95% CI: 1.333~1.487, p < 0.001 ; cecal intubation, OR = 1.601 , 95% CI: 1.482-1.729, p < 0.001 ). Conclusion. Colonoscopy with sedation has a positive effect on ADR and CIR in all endoscopists with different experience of colonoscopy, which makes the quality of colonoscopy better.

scholarly journals TAVSİYE ETME DAVRANIŞININ ALGILANAN HİZMET KALİTESİ DEĞİŞKENLERİ İLE İLİŞKİSİ: ATATÜRK HAVALİMANI ÖRNEĞİ

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Bekir TUNCER ◽  
Yıldıray KIZGIN
Keyword(s):  
Logistic Regression ◽  
Quality Of Service ◽  
Service Quality ◽  
Regression Model ◽  
Significant Relationship ◽  
Categorical Data ◽  
Logistic Regression Model ◽  
Perceived Service Quality ◽  
Evaluation Scores

Passengers using the airports are getting more and more publicity of airport services, with comments on various platforms such as Skytrax, TripAdvisor and Google Rewievs. On these platforms, they can evaluate and rate various aspects of airport services. The main purpose of the study is to suggest the airport passengers' behavior to recommend the airport; the reasons for using the airport (transit, incoming-outgoing), travel purposes (holiday-work) and the quality of the perceived service quality variables. For this purpose, the evaluation scores obtained from www.airlinequality.com website were analyzed. The logistic regression model examines the perceived quality of service and how passengers are influenced by travel intentions and types, coded as categorical data such as recommending and advising travelers to recommend airport services. As a result of the analysis, it was found that there was a significant relationship between the seating areas in the airport, the directions of the guiding signs and the terminal staff variables and the behavior of the airport where the passengers were receiving service. It was determined that there was no significant relationship between the purpose of travel (work / holiday), reason for using the airport (incoming-outgoing / transit), time spent in the queue and cleaning of the terminal.

scholarly journals How to Select Potential Sites of Community Importance to the Natura 2000 Network: The Issue of Criteria

2014 ◽  
Vol 33 (2) ◽  
Author(s):  
Stanisław Tworek ◽  
Małgorzata Makomaska-Juchiewicz ◽  
Grzegorz Cierlik
Keyword(s):  
National Level ◽  
Habitat Type ◽  
Natura 2000 ◽  
Habitats Directive ◽  
Habitat Types ◽  
Natura 2000 Network ◽  
Practical Usefulness ◽  
Relative Value ◽  
Level Of Knowledge ◽  
Selection Of

AbstractTworek S., Makomaska-Juchiewicz M., Cierlik G.: How to select potential sites of community importance to the NATURA 2000 network: the issue of criteria. Ekológia (Bratislava), Vol. 33, No. 2, p. 127-137, 2014.In this paper, on the basis of experience gained at the elaboration of the Proposal of Natura 2000 network in Poland, we analyse the usefulness of criteria recommended in Annex III of the Habitats Directive (HD) for selecting proposed Sites of Community Importance (pSCI), i.e. potential Special Areas of Conservation. These are sites important for conservation of habitat types and species (except for birds), listed in Annexes I and II of the HD. The recommendations should allow arriving at the estimates of relative value of the selected areas vis-a-vis the national resources of each habitat type and species. These are, however, neither objective and quantified nor easy to apply criteria; because most of them rely on best expert judgement, which is subjective to a great extent. Moreover, the practical usefulness of the criteria is related to the level of knowledge of the distribution and size of resources of the habitat types and species of European importance. Our experience of selecting pSCI at national level indicates that this stage of work calls for more precise criteria than these recommended in the HD. We present our proposal of domestic criteria, which make easier the preliminary selection of pSCI that were tested in work with local experts responsible for regional proposals of sites to the Natura 2000 network in Poland. Because of the far-reaching consequences entailing the designation of Natura 2000, we would like to encourage a widespread discussion on criteria for selecting pSCI.

The impact of quality and quantity of visceral fat on survival outcome of early-stage breast cancer patients with prior chemotherapy.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 584-584
Author(s):  
Toshiaki Iwase ◽  
Takafumi Sangai ◽  
Masahiro Sakakibara ◽  
Takeshi Nagashima ◽  
Masayuki Ohtsuka
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Menopausal Status ◽  
Pathologic Complete Response ◽  
Survival Outcome ◽  
Prior Chemotherapy ◽  
The Impact

584 Background: Obesity not only increases morbidity, but also chemo-resistance of breast cancer (BC). Several studies focusing on body mass index (BMI) of BC patients have been performed; however, a recent report suggested that the quality of visceral adipose tissue (VAT) plays a crucial role in fat cell function. We set out to clarify the effect of quality and quantity of VAT on survival outcome of BC patients who underwent chemotherapy. Methods: From 2,230 patients who underwent treatment for BC at our institution from January 2004 to December 2015, we included 271 patients who received chemotherapy in neo-adjuvant (NAC) or adjuvant setting. Quantification was performed using computed tomography (CT) 3-dimensional volumetric software and quality of VAT was assessed based on the CT Hounsfield Unit of VAT (VAT-HU) using electrically stocked CT images. The correlation between BMI, amount of VAT (aVAT), and VAT-HU were analyzed using Pearson’s correlation test. The effect of these factors on pathologic complete response (pCR) was evaluated using Logistic regression model with the following covariates: menopausal status, size, nodal status, and subtype. Furthermore, survival analysis for distant disease-free survival (DDFS) was performed using Kaplan Meier method and Cox proportional hazard model. Results: aVAT and VAT-HU were significantly correlated with patient BMI (p<0.05). Forty-six patients achieved pCR (24%). Logistic regression model for pCR showed that aVAT and VAT-HU did not affect pCR (p=0.60 and 0.36). After a median follow-up of 112 months, tertile stratification revealed that the third tertile of aVAT had significantly shorter DDFS in the NAC setting (p<0.05). When adjusted by covariates in the Cox proportional regression model, aVAT and VAT-HU demonstrated significant contribution to worse DDFS ([p<0.05, hazard ratio {HR} 1.39; 95% confidence interval {CI} 1.11 to 1.75] and [p<0.05, HR 1.20, 95% CI 1.01 to 1.43], respectively). Conclusions: The quantity and quality of VAT was significantly related to the survival outcome especially in the NAC setting. This new insight would enable prediction of recurrence risk in obese BC patients with prior chemotherapy.

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