Paying for Biodiversity Conservation Services in Agricultural Landscapes

Adoption of improved silvopastoral practices in degraded pasture areas is thought to provide valuable local and global environmental benefits, including biodiversity conservation, However, these practices are insufficiently attractive to individual land users for them to adopt them spontaneously, particularly due to their high initial costs. This paper describes the contract mechanism developed for the Regional Integrated Silvopastoral Ecosystem Management Project, which is being implemented with financing from the Global Environment Facility (GEF). The project is testing the use of the payment-for-service mechanism to encourage the adoption of silvopastoral practices in three countries of Central and South America: Colombia, Costa Rica, and Nicaragua. The project has created a mechanism that pays land users for the global environmental services they are generating, so that the additional income stream makes the proposed practices privately profitable. Designing the mechanism required addressing issues such as (1) measuring the actual amount of environmental services being provided, so that appropriate payments can be made; (2) providing payments in a way that resulted in the desired change in land use; and (3) avoiding the creation of perverse incentives (for example, for land users to cut down existing trees so as to qualify for additional payments for tree planting). Two variants of the proposed payment mechanism are being tested, with participating land users assigned randomly to one or the other. The project also includes extensive monitoring of the effectiveness of each mechanism in stimulating adoption of the proposed measures and of the resulting impact on environmental services and on household welfare. These features, together with the three-country approach, will provide in the coming years a very rich dataset for testing the use of contract mechanisms for biodiversity conservation.Payments for Environmental Services, Contract design, Biodiversity, Conservation, Silvopastoral, Agroforestry

Descriptive Kinematic Analysis of the Potentially Tragic Accident at the 2020 Austrian MotoGP Grand Prix Using Low-Cost Instruments: A Brief Report

During the first Austrian MotoGP Grand Prix of 2020, following a serious accident involving the riders J. Zarco and F. Morbidelli, Morbidelli's riderless bike cartwheeled across turn 3, narrowly missing V. Rossi and M. Viñales by just a few centimeters. As is the case with ordinary traffic accidents, analyzing the dynamics of motorcycle racing accidents can help improve safety; however, to date, the literature lacks studies that analyze the causes and severity of such accidents. Hence, the purpose of this study was to analyze the main causes that led to the accident at the 2020 Austrian MotoGp Grand Prix, to quantify the speeds and distances of the bikes and riders involved, and to hypothesize several alternative scenarios using a low-cost method

Relevance of the cell neighborhood size in landscape metrics evaluation and free or open source software implementations

Landscape metrics constitute one of the main tools for the study of the changes of the landscape and of the ecological structure of a region. The most popular software for landscape metrics evaluation is FRAGSTATS, which is free to use but does not have free or open source software (FOSS). Therefore, FOSS implementations, such as QGIS’s LecoS plugin and GRASS’ r.li modules suite, were developed. While metrics are defined in the same way, the “cell neighborhood” parameter, specifying the configuration of the moving window used for the analysis, is managed differently: FRAGSTATS can use values of 4 or 8 (8 is default), LecoS uses 8 and r.li 4. Tests were performed to evaluate the landscape metrics variability depending on the “cell neighborhood” values: some metrics, such as “edge density” and “landscape shape index”, do not change, other, for example “patch number”, “patch density”, and “mean patch area”, vary up to 100% for real maps and 500% for maps built to highlight this variation. A review of the scientific literature was carried out to check how often the value of the “cell neighborhood” parameter is explicitly declared. A method based on the “aggregation index” is proposed to estimate the effect of the uncertainty on the “cell neighborhood” parameter on landscape metrics for different map

Secondary malignancies after treatment for indolent non-Hodgkin's lymphoma: a 16-year follow-up study.

Relatively little information is available on the incidence of secondary cancer in non-Hodgkin's lymphoma. The aim of this long-term follow-up study was to determine the incidence, the time free of second tumors, and risk factors for developing secondary cancer in a homogeneous group of patients with non-Hodgkin's lymphoma. DESIGN AND METHODS: We evaluated a total of 563 patients with indolent non-Hodgkin's lymphoma enrolled in Gruppo Italiano Studio Linfomi trials from 1988 to 2003. RESULTS: After a median follow-up of 62 months, 39 patients (6.9%) developed secondary cancer: 12 myelodysplastic syndromes/acute myeloid leukemia, and 27 solid tumors. The overall standardized incidence ratio of secondary malignancy in patients with non-Hodgkin's lymphoma was higher than the risk of malignancy in the general population. The standardized incidence ratio was elevated in male patients and in patients under 65 years old at first treatment. Overall, the cumulative incidence of secondary cancer at 12 years was 10.5%, after correction in a competing-risk model. Univariate and multivariate Cox regression analyses showed that older age at the time of diagnosis, male sex, and fludarabine-containing therapy had significant negative impacts on the time free of second tumors. CONCLUSIONS: We have identified subgroups of non-Hodgkin's lymphoma patients with increased standardized incidence ratios of secondary malignancy and variables that have a negative impact on the time free of second tumors. This information could help physicians to select the most appropriate treatments. Finally, taking into account the possible occurrence of secondary neoplasia, long-term monitoring must be considered

Second malignancies after treatment of diffuse large B-cell non-Hodgkin's lymphoma: a GISL cohort study

BACKGROUND: Improved treatment has increased the life expectancy of patients with non-Hodgkin's lymphoma, but few studies have addressed the issue of second cancer in patients treated for diffuse large B-cell lymphoma. The aims of this study were to determine the incidence and time free of second cancers in this subset of patients. DESIGN AND METHODS: We evaluated a cohort of 1280 patients with diffuse large B-cell lymphoma who were first treated between 1988 and 2003. We utilized the central database of the Gruppo Italiano Studio Linfomi, which includes data on demographics, clinical characteristics, laboratory parameters, treatment and follow-up of all patients with non-Hodgkin's lymphoma enrolled in clinical trials. RESULTS: After a median follow-up of 51 months, 48 patients had developed a second cancer: 13 hematologic malignancies and 35 solid tumors. The overall standardized incidence ratio in our cohort (with a median age of 58 years) matched that of the general Italian population. The incidence ratio of second tumors was age related, and the age groups 20-39 and 40-59 years showed an increased risk. Overall, the cumulative incidence of second cancer was 8.2% at 15 years. A multivariate analysis showed that older age at the time of diagnosis of lymphoma had a negative influence on the time free of second tumors. CONCLUSIONS: In our cohort, only young patients showed an increased incidence ratio of second malignancies, while the incidence ratio in patients aged over 59 years matched the incidence in the Italian general population. Demographics, baseline characteristics, laboratory parameters and treatment modalities did not have any significant impact on the incidence ratio of a second cancer

Factors influencing weight loss practices in Italian boxers: A cluster analysis

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. It is common practice in combat sports that athletes rapidly lose body weight before a match, by applying different practices—some safer and others possibly dangerous. The factors behind the choice of practices utilised have not been fully studied. This study aimed to investigate the weight loss strategies used by Italian boxers and to look at the difference between higher and lower risk practice adaptors. A modified version of a validated questionnaire has been sent to 164 amateur (88%) and professional (12%) boxers by email. A heatmap with hierarchical clustering was used to explore the presence of subgroups. Weight loss strategies were used by 88% of the athletes. Two clusters were found, defined by the severity of weight loss behaviours. Professional fighters, high-level athletes and females were more represented in Cluster 2, the one with more severe weight-loss practices. These athletes were characterised by a higher weight loss magnitude and frequency throughout the season and reported being more influenced by physicians and nutritionists, compared with the boxers in Cluster 1. Not all the weight loss practices are used with the same frequency by all boxers. The level of the athlete and the boxing style have an influence on the weight-cutting practices

Nine weeks of high-intensity indoor cycling training induced changes in the microbiota composition in non-athlete healthy male college students

Background: The gut microbiota constitutes a dynamic microbial system constantly challenged by environmental conditions, including physical exercise. Limited human studies suggest that exercise could play a beneficial role for gut health, increasing microbial diversity, even if the effects of exercise on gut microbial microorganisms depends on its intensity and duration. This study aimed to investigate the effects of nine weeks of high-intensity interval exercise on gut microbiota composition in healthy young adults. Methods: The gut microbiota composition of seventeen healthy male college students was analysed before and after nine weeks of high-intensity interval cycling training by 16S rRNA amplicon sequencing. PERMANOVA for repeated measures was used to test pre-post differences in the relative abundance of all taxonomic levels, and correlations between variations in microbial composition and physical and dietary features were also assessed. Results: Physical exercise induced changes in microbiota composition, at all taxonomic levels analysed (phyla: F [1, 32]=3.97, p=0.029; classes: F [1, 32]=3.39, p=0.033, orders: F [1, 32]=3.17, p=0.044, families: F [1, 32]=1.54, p=0.037, genera: F [1, 32]=1.46, p=0.015, species: F [1, 32]=1.38, p=0.007). Conversely, no differences were found between pre and post-training conditions for microbial community richness (Chao1: V=105, p=0.06) or diversity (Shannon index: V=62, p=0.52; Simpson index: V=59, p=0.43). Changes in the relative abundance of eighteen genera were correlated to changes of twenty environmental factors grouped in physical features, sport-related features, and dietary features. Conclusions: Nine weeks of high-intensity exercise induced modifications in gut microbiota composition in healthy male college students, shifting the gut microbial population towards a healthier microbiome with benefit to human health in general

Absolute monocyte count at diagnosis could improve the prognostic role of early FDG-PET in classical Hodgkin lymphoma patients

Recently published international guidelines suggested that positron emission tomography (PET)-computed tomography (CT) could be utilized for response assessment using the Deauville criteria in fluorodeoxyglucose (FDG)-avid lym- phomas (Meignan et al, 2012). Interim PET (I-PET) scan- ning seems highly predictive of treatment failure in Hodgkin Lymphoma (HL) patients. We recently showed that the absolute monocyte count (AMC) has prognostic value in patients with classical HL (cHL) (Tadmor et al, 2015). Here, we show that the com- bined use of I-PET and AMC at diagnosis enables a more accurate projection of patient outcome in cHL. The present study is an ancillary branch of the analysis reported by Tadmor et al, (2015). Patients with histopatho- logical diagnosis of cHL previously enrolled in the Gruppo Italiano Studio Linfomi trials were eligible if data on all clini- cal and laboratory features and treatments, reported I-PET results, treatment response and follow-up were available. Response was defined according to the revised International Working Group guidelines (Cheson et al, 1999). An absolute lymphocyte count <06 9 10 9 /l and AMC > 075 9 10 9 /l were used as cut-off points. I-PET was performed after 2 cycles of treatment. A positive or negative I-PET was defined by the local investigators’ interpretation of the nuclear physi- cian’s scan report, which was based on a visual qualitative assessment. The principal end-point of the study was the impact of I-PET and AMC on progression-free survival (PFS); their impact on overall survival (OS) was the secondary end-point. Survival functions were estimated using the Kaplan–Meier method. Statistical comparisons between curves were per- formed with log-rank test, and the effect of the covariate was reported as hazard ratios (HR), from Cox regression. All patients had a diagnosis of cHL; 76% of cases had the nodular sclerosis (NS) subtype. Seventy-six patients (64%) were treated with classical ABVD (doxorubicin, bleomycin, vincristine, dacarbazine), and 23 (19%) and 19 (16%) with the more intensive BEACOPP (bleomycin, etoposide, doxoru- bicin, cyclophosphamide, vincristine, procarbazine, pred- nisone) and COPPEBVCAD (cyclophosphamide, lomustine, vindesine, melphalan, prednisone, epidoxirubicin, vincristine, procarbazine, vinblastine, bleomycin) regimens (Federico et al, 2009), respectively. Of the entire cohort, 104 patients (88%) achieved complete remission. Twenty-six patients had a positive I-PET (22%) and 28 (24%) had AMC > 075 9 10 9 /l at diagnosis. The median follow-up of the entire cohort was 88 months (range 5–142 months). The estimated 5-year OS was 91% (95% confidence interval [CI]: 84–95%). The 5-year PFS was 80% (95% CI: 71–86%). Patients with positive I-PET showed a worse PFS compared to patients with negative I-PET (51% and 88%, respectively; HR 587 [95% CI: 256–135]). Patients with AMC > 075 9 10 9 /l at diagnosis had a worse PFS compared to patients with AMC ≤ 075 9 10 9 /l (58% and 87%, respectively; HR 373 [95% CI: 161–864]). Multi- ple Cox proportional hazards (PH) regression, adjusted for International Prognostic Score 3–7, confirmed the prognostic role of I-PET (HR 532 [95% CI: 230–123]; P < 0001) and AMC >075 9 10 9 /l (HR 319 [95% CI: 132–768]; P = 0010). Figure 1A, B shows the PFS for I-PET and AMC, and Table I shows the uni- and multivariate Cox PH regres- sion for PFS. The prognostic role of I-PET and AMC on OS was also confirmed. Given the strong predictive value of both I-PET and AMC, we stratified patients by positive or negative I-PET and AMC > 075 9 10 9 /l or ≤075 9 10 9 /l into 3 groups with different levels of risk. The low risk level (negative I- PET and AMC ≤ 075 9 10 9 /l; n = 73, 62%) had a 5-year PFS of 90% (95% CI: 80–96%), the intermediate level (I-PET positive or AMC > 075 9 10 9 /l; n = 36, 51%) had a 5-year PFS of 73% (95% CI: 55–85%), and the high risk level (I-PET positive and AMC > 075 9 10 9 /l; n = 9, 8%) had a 5-year PFS of 17% (95% CI: 1–49%). The log-rank test between the intermediate and low levels and between the high and intermediate levels were significant (P = 0 007, P = 0001, respectively). For OS, the difference between the intermediate and low risk levels tended to narrow (P = 0232), while the difference between the high and inter- mediate levels was significantly different (P < 0001). Fig- ure 1C, D shows the PFS and OS stratified by risk group. The test for trend in PFS and OS was significant (P < 0001). The rationale for using AMC as a prognostic parameter in cHL is relevant because immunohistochemical and molecular data, including the gene expression profile, have identified a key role for monocytes and macrophages in the biology of cHL (Steidl et al, 2010; Porrata et al, 2012; Tan et al, 2012; Koh et al , 2015; Tadmor et al, 2015). It might therefore bepossible that AMC is associated with the number of tumour- associated macrophages (TAMs) in the microenvironment. If so, then it could be considered as a biomarker of reactive cells that is easily detectable in peripheral blood. The FDG- PET scan is currently considered the most precise staging method and may also be used to provide an early prediction of treatment efficacy There is a strong suggestion that reactive cells are respon- sible for the increased FDG uptake at baseline, as they account for 99% of Hodgkin tumours (Gallamini, 2010). Furthermore, early responses to treatment have been sug- gested to demonstrate the elimination of reactive cells, or at least the disappearance of their activity, and are indirect surrogates of tumour chemo-sensitivity (Gallamini & Kostakoglu, 2012). Thus, the FDG-PET scan could be considered a biomarker of the extent and activity of the tumour microenvironment. However, in clinical practice, patients with negative I-PET can rapidly progress during induction treatment, while other patients with positive I-PET may eventually achieve a CR. Therefore, there is a need to further improve the predictive power of I-PET. By combining the AMC at diagnosis with the I-PET results, we showed that it is possible to increase the discriminatory power of I-PET alone in identifying cHL patients with poor PFS and OS. We are fully aware that our study has many weaknesses, such as its retrospective nature, the small number of patients and the lack of use of the Deauville criteria. However, our results suggest that it is pos- sible to further improve the already high predictive power of PET by combining it with a simple and inexpensive surrogate biomarker of reactive cells that are easily detectable in peripheral blood