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73 results on '"Molijn, A."'

1. Evaluation of DNA methylation biomarkers ASCL1 and LHX8 on HPV-positive self-collected samples from primary HPV-based screening.

Author: Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D.M., Ebisch, R.M.F., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F. van, Meijer, C.J.L.M., Berkhof, J., Heideman, D.A.M., Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D.M., Ebisch, R.M.F., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F. van, Meijer, C.J.L.M., Berkhof, J., and Heideman, D.A.M.
Abstract: 01 juli 2023, Contains fulltext : 294344.pdf (Publisher’s version ) (Open Access), BACKGROUND: Host-cell DNA methylation analysis can be used to triage women with high-risk human papillomavirus (HPV)-positive self-collected cervicovaginal samples, but current data are restricted to under-/never-screened women and referral populations. This study evaluated triage performance in women who were offered primary HPV self-sampling for cervical cancer screening. METHODS: Self-collected samples from 593 HPV-positive women who participated in a primary HPV self-sampling trial (IMPROVE study; NTR5078), were tested for the DNA methylation markers ASCL1 and LHX8 using quantitative multiplex methylation-specific PCR (qMSP). The diagnostic performance for CIN3 and cervical cancer (CIN3 + ) was evaluated and compared with that of paired HPV-positive clinician-collected cervical samples. RESULTS: Significantly higher methylation levels were found in HPV-positive self-collected samples of women with CIN3 + than control women with no evidence of disease (P values <0.0001). The marker panel ASCL1/LHX8 yielded a sensitivity for CIN3 + detection of 73.3% (63/86; 95% CI 63.9-82.6%), with a corresponding specificity of 61.1% (310/507; 95% CI 56.9-65.4%). The relative sensitivity for detecting CIN3+ was 0.95 (95% CI 0.82-1.10) for self-collection versus clinician-collection, and the relative specificity was 0.82 (95% CI 0.75-0.90). CONCLUSIONS: The ASCL1/LHX8 methylation marker panel constitutes a feasible direct triage method for the detection of CIN3 + in HPV-positive women participating in routine screening by self-sampling.
Published: 2023

2. Laat ze in Syrië een waardiger bestaan opbouwen

Author: Stel, N.M., Molijn, C., Stel, N.M., and Molijn, C.
Abstract: 05 juli 2023, Item does not contain fulltext
Published: 2023

3. Evaluation of DNA methylation biomarkers ASCL1 and LHX8 on HPV-positive self-collected samples from primary HPV-based screening

Author: Verhoef, Lisanne, Bleeker, Maaike C.G., Polman, Nicole, Steenbergen, Renske D.M., Ebisch, Renée M.F., Melchers, Willem J.G., Bekkers, Ruud L.M., Molijn, Anco C., Quint, Wim G., van Kemenade, Folkert, Meijer, Chris J.L.M., Berkhof, Johannes, Heideman, Daniëlle A.M., Verhoef, Lisanne, Bleeker, Maaike C.G., Polman, Nicole, Steenbergen, Renske D.M., Ebisch, Renée M.F., Melchers, Willem J.G., Bekkers, Ruud L.M., Molijn, Anco C., Quint, Wim G., van Kemenade, Folkert, Meijer, Chris J.L.M., Berkhof, Johannes, and Heideman, Daniëlle A.M.
Abstract: Background: Host-cell DNA methylation analysis can be used to triage women with high-risk human papillomavirus (HPV)-positive self-collected cervicovaginal samples, but current data are restricted to under-/never-screened women and referral populations. This study evaluated triage performance in women who were offered primary HPV self-sampling for cervical cancer screening. Methods: Self-collected samples from 593 HPV-positive women who participated in a primary HPV self-sampling trial (IMPROVE study; NTR5078), were tested for the DNA methylation markers ASCL1 and LHX8 using quantitative multiplex methylation-specific PCR (qMSP). The diagnostic performance for CIN3 and cervical cancer (CIN3 +) was evaluated and compared with that of paired HPV-positive clinician-collected cervical samples. Results: Significantly higher methylation levels were found in HPV-positive self-collected samples of women with CIN3 + than control women with no evidence of disease (P values <0.0001). The marker panel ASCL1/LHX8 yielded a sensitivity for CIN3 + detection of 73.3% (63/86; 95% CI 63.9–82.6%), with a corresponding specificity of 61.1% (310/507; 95% CI 56.9–65.4%). The relative sensitivity for detecting CIN3+ was 0.95 (95% CI 0.82–1.10) for self-collection versus clinician-collection, and the relative specificity was 0.82 (95% CI 0.75–0.90). Conclusions: The ASCL1/LHX8 methylation marker panel constitutes a feasible direct triage method for the detection of CIN3 + in HPV-positive women participating in routine screening by self-sampling.
Published: 2023

4. Sociodemographic Characteristics and Screening Outcomes of Women Preferring Self-Sampling in the Dutch Cervical Cancer Screening Programme:A Population-Based Study

Author: Aitken, Clare A., Inturrisi, Federica, Kaljouw, Sylvia, Nieboer, Daan, Siebers, Albert G., Melchers, Willem J.G., van den Brule, Adriaan J.C., Molijn, Anco, Hinrichs, John W.J., Niesters, Hubert G.M., van Kemenade, Folkert J., Berkhof, Johannes, de Kok, Inge M.C.M., Aitken, Clare A., Inturrisi, Federica, Kaljouw, Sylvia, Nieboer, Daan, Siebers, Albert G., Melchers, Willem J.G., van den Brule, Adriaan J.C., Molijn, Anco, Hinrichs, John W.J., Niesters, Hubert G.M., van Kemenade, Folkert J., Berkhof, Johannes, and de Kok, Inge M.C.M.
Abstract: BACKGROUND: In the Netherlands, lower high-risk human papillomavirus (hrHPV) positivity but higher cervical intraepithelial neoplasia (CIN) 2+ detection were found in self-collected compared with clinician-collected samples. To investigate the possible reason for these differences, we compared sociodemographic and screening characteristics of women and related these to screening outcomes. METHODS: We extracted data from PALGA on all primary hrHPV screens and associated follow-up tests for 857,866 screened women, invited in 2017 and 2018. We linked these data with sociodemographic data from Statistics Netherlands. Logistic regression was performed for hrHPV positivity and CIN 2+/3+ detection. RESULTS: Out of the 857,866 women, 6.8% chose to use a self-sampling device. A higher proportion of self-sampling users was ages 30 to 35 years, was not previously screened, was living in a one-person household, or was the breadwinner in the household. After adjustment for these factors self-sampling had lower hrHPV positivity (aOR, 0.65; 95% CI, 0.63-0.68)) as compared with clinician-collected sampling, as well as lower odds of CIN 2+ (aOR, 0.76; 95% CI, 0.70-0.82) and CIN 3+ (aOR, 0.86; 95% CI, 0.78-0.95) detection. CONCLUSIONS: It is likely that the observed differences between the two sampling methods are not only related to sociodemographic differences, but related to differences in screening test accuracy and/or background risk. IMPACT: Self-sampling can be used for targeting underscreened women, as a more convenient screening tool. Further investigation is required to evaluate how to implement self-sampling, when it is used as a primary instrument in routine screening. See related commentary by Arbyn et al., p. 159.
Published: 2023

5. Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV-positive women: Results from a Dutch primary HPV-based screening cohort

Author: Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., Heideman, D. A. M., Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., and Heideman, D. A. M.
Abstract: Item does not contain fulltext, Methylation of host-cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high-risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host-cell DNA methylation markers for triage in an hrHPV-positive cohort derived from primary HPV-based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation-specific PCR (qMSP) in clinician-collected cervical samples (n = 715) from hrHPV-positive women (age 29-60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end-point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single-marker and bi-marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV-positive clinician-collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi-marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3-85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1-77.9%). In conclusion, our study shows that the individual host-cell DNA methylation classifiers and the bi-marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV-positive women invited for routine screening.
Published: 2022

6. Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV-positive women: Results from a Dutch primary HPV-based screening cohort

Author: Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., Heideman, D.A.M., Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., and Heideman, D.A.M.
Abstract: Contains fulltext : 248634.pdf (Publisher’s version ) (Open Access), Methylation of host-cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high-risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host-cell DNA methylation markers for triage in an hrHPV-positive cohort derived from primary HPV-based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation-specific PCR (qMSP) in clinician-collected cervical samples (n = 715) from hrHPV-positive women (age 29-60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end-point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single-marker and bi-marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV-positive clinician-collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi-marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3-85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1-77.9%). In conclusion, our study shows that the individual host-cell DNA methylation classifiers and the bi-marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV-positive women invited for routine screening.
Published: 2022

7. Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV-positive women: Results from a Dutch primary HPV-based screening cohort

Author: Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., Heideman, D.A.M., Verhoef, L., Bleeker, M.C.G., Polman, N., Steenbergen, R.D., Meijer, C., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A.C., Quint, W.G., Kemenade, F.J. van, Berkhof, J., and Heideman, D.A.M.
Abstract: Contains fulltext : 248634.pdf (Publisher’s version ) (Open Access), Methylation of host-cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high-risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host-cell DNA methylation markers for triage in an hrHPV-positive cohort derived from primary HPV-based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation-specific PCR (qMSP) in clinician-collected cervical samples (n = 715) from hrHPV-positive women (age 29-60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end-point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single-marker and bi-marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV-positive clinician-collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi-marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3-85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1-77.9%). In conclusion, our study shows that the individual host-cell DNA methylation classifiers and the bi-marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV-positive women invited for routine screening.
Published: 2022

8. Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV-positive women:Results from a Dutch primary HPV-based screening cohort

Author: Verhoef, Lisanne, Bleeker, Maaike C.G., Polman, Nicole, Steenbergen, Renske D.M., Meijer, Chris J.L.M., Melchers, Willem J.G., Bekkers, Ruud L., Molijn, Anco C., Quint, Wim G., van Kemenade, Folkert J., Berkhof, Johannes, Heideman, Daniëlle A.M., Verhoef, Lisanne, Bleeker, Maaike C.G., Polman, Nicole, Steenbergen, Renske D.M., Meijer, Chris J.L.M., Melchers, Willem J.G., Bekkers, Ruud L., Molijn, Anco C., Quint, Wim G., van Kemenade, Folkert J., Berkhof, Johannes, and Heideman, Daniëlle A.M.
Abstract: Methylation of host-cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high-risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host-cell DNA methylation markers for triage in an hrHPV-positive cohort derived from primary HPV-based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation-specific PCR (qMSP) in clinician-collected cervical samples (n = 715) from hrHPV-positive women (age 29-60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end-point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single-marker and bi-marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV-positive clinician-collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi-marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3-85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1-77.9%). In conclusion, our study shows that the individual host-cell DNA methylation classifiers and the bi-marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV-positive women invited for routine screening.
Published: 2022

9. Robot-assisted Versus Open Radical Cystectomy in Bladder Cancer: An Economic Evaluation Alongside a Multicentre Comparative Effectiveness Study

Author: MS Urologische Oncologie, Cancer, Michels, Charlotte T.J., Wijburg, Carl J., Hannink, Gerjon, Witjes, J. Alfred, Rovers, Maroeska M., Grutters, Janneke P.C., Helder, Sip, Venderbosch, Guus, Calsbeek, Hilly, Onna, Ilze E.W.van, Barten, Evert J., Koldewijn, Evert L., Boormans, Joost L., Wijsman, Bart P., Nooter, Ronald I., Zwaan, Peter J., Slaa, Ed te, Meer, Saskia van der, Klaver, Sjoerd O., Fossion, Laurent M.C.L., Bos, Siebe D., Melick, Harm H.E.van, Leliveld, Anna M., Meijer, Richard P., Vis, André N., Molijn, Gerard J., Berendsen, Chris L., Oddens, Jorg R., MS Urologische Oncologie, Cancer, Michels, Charlotte T.J., Wijburg, Carl J., Hannink, Gerjon, Witjes, J. Alfred, Rovers, Maroeska M., Grutters, Janneke P.C., Helder, Sip, Venderbosch, Guus, Calsbeek, Hilly, Onna, Ilze E.W.van, Barten, Evert J., Koldewijn, Evert L., Boormans, Joost L., Wijsman, Bart P., Nooter, Ronald I., Zwaan, Peter J., Slaa, Ed te, Meer, Saskia van der, Klaver, Sjoerd O., Fossion, Laurent M.C.L., Bos, Siebe D., Melick, Harm H.E.van, Leliveld, Anna M., Meijer, Richard P., Vis, André N., Molijn, Gerard J., Berendsen, Chris L., and Oddens, Jorg R.
Published: 2022

10. Clinical performance of high-risk HPV testing on self-samples versus clinician samples in routine primary HPV screening in the Netherlands: An observational study

Author: Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, Berkhof, J., Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 242774.pdf (Publisher’s version ) (Open Access)
Published: 2021

11. On the value of sentinel-1 insar coherence time-series for vegetation classification

Author: Nikaein, T. (author), Iannini, L. (author), Molijn, R.A. (author), Lopez Dekker, F.J. (author), Nikaein, T. (author), Iannini, L. (author), Molijn, R.A. (author), and Lopez Dekker, F.J. (author)
Abstract: Synthetic aperture radar (SAR) acquisitions are mainly deemed suitable for mapping dynamic land-cover and land-use scenarios due to their timeliness and reliability. This particularly applies to Sentinel-1 imagery. Nevertheless, the accurate mapping of regions characterized by a mixture of crops and grasses can still represent a challenge. Radar time-series have to date mainly been exploited through backscatter intensities, whereas only fewer contributions have focused on analyzing the potential of interferometric information, intuitively enhanced by the short revisit. In this paper, we evaluate, as primary objective, the added value of short-temporal baseline coherences over a complex agricultural area in the São Paulo state, cultivated with heterogeneously (asynchronously) managed annual crops, grasses for pasture and sugarcane plantations. We also investigated the sensitivity of the radar information to the classification methods as well as to the data preparation and sampling practices. Two supervised machine learning methods—namely support vector machine (SVM) and random forest (RF)—were applied to the Sentinel-1 time-series at the pixel and field levels. The results highlight that an improvement of 10 percentage points (p.p.) in the classification accuracy can be achieved by using the coherence in addition to the backscatter intensity and by combining co-polarized (VV) and cross-polarized (VH) information. It is shown that the largest contribution in class discrimination is brought during winter, when dry vegetation and bare soils can be expected. One of the added values of coherence was indeed identified in the enhanced sensitivity to harvest events in a small but significant number of cases., Mathematical Geodesy and Positioning
Published: 2021
Full Text: View/download PDF

12. Clinical performance of high-risk HPV testing on self-samples versus clinician samples in routine primary HPV screening in the Netherlands: An observational study

Author: Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, Berkhof, J., Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 242774.pdf (Publisher’s version ) (Open Access)
Published: 2021

13. Clinical performance of high-risk HPV testing on self-samples versus clinician samples in routine primary HPV screening in the Netherlands: An observational study

Author: Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, Berkhof, J., Inturrisi, Federica, Aitken, C.A., Melchers, W.J.G., Brule, A.J.C. van den, Molijn, A., Hinrichs, John W. J., Siebers, Albert G., Bekkers, R.L.M., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 242774.pdf (Publisher’s version ) (Open Access)
Published: 2021

14. On the value of sentinel-1 insar coherence time-series for vegetation classification

Author: Nikaein, T. (author), Iannini, L. (author), Molijn, R.A. (author), Lopez Dekker, F.J. (author), Nikaein, T. (author), Iannini, L. (author), Molijn, R.A. (author), and Lopez Dekker, F.J. (author)
Abstract: Synthetic aperture radar (SAR) acquisitions are mainly deemed suitable for mapping dynamic land-cover and land-use scenarios due to their timeliness and reliability. This particularly applies to Sentinel-1 imagery. Nevertheless, the accurate mapping of regions characterized by a mixture of crops and grasses can still represent a challenge. Radar time-series have to date mainly been exploited through backscatter intensities, whereas only fewer contributions have focused on analyzing the potential of interferometric information, intuitively enhanced by the short revisit. In this paper, we evaluate, as primary objective, the added value of short-temporal baseline coherences over a complex agricultural area in the São Paulo state, cultivated with heterogeneously (asynchronously) managed annual crops, grasses for pasture and sugarcane plantations. We also investigated the sensitivity of the radar information to the classification methods as well as to the data preparation and sampling practices. Two supervised machine learning methods—namely support vector machine (SVM) and random forest (RF)—were applied to the Sentinel-1 time-series at the pixel and field levels. The results highlight that an improvement of 10 percentage points (p.p.) in the classification accuracy can be achieved by using the coherence in addition to the backscatter intensity and by combining co-polarized (VV) and cross-polarized (VH) information. It is shown that the largest contribution in class discrimination is brought during winter, when dry vegetation and bare soils can be expected. One of the added values of coherence was indeed identified in the enhanced sensitivity to harvest events in a small but significant number of cases., Mathematical Geodesy and Positioning
Published: 2021
Full Text: View/download PDF

15. Clinical performance of high-risk HPV testing on self-samples versus clinician samples in routine primary HPV screening in the Netherlands:An observational study

Author: Inturrisi, Federica, Aitken, Clare A., Melchers, Willem J.G., van den Brule, Adriaan J.C., Molijn, Anco, Hinrichs, John W.J., Niesters, Hubert G.M., Siebers, Albert G., Schuurman, Rob, Heideman, Daniëlle A.M., de Kok, Inge M.C.M., Bekkers, Ruud L.M., van Kemenade, Folkert J., Berkhof, Johannes, Inturrisi, Federica, Aitken, Clare A., Melchers, Willem J.G., van den Brule, Adriaan J.C., Molijn, Anco, Hinrichs, John W.J., Niesters, Hubert G.M., Siebers, Albert G., Schuurman, Rob, Heideman, Daniëlle A.M., de Kok, Inge M.C.M., Bekkers, Ruud L.M., van Kemenade, Folkert J., and Berkhof, Johannes
Abstract: Background: High-risk human papillomavirus (hrHPV) testing on self-collected samples has potential as a primary screening tool in cervical screening, but real-world evidence on its accuracy in hrHPV-based screening programmes is lacking. Methods: In the Netherlands, women aged 30–60 years invited for cervical screening can choose between sampling at the clinician's office (Cervex Brush) or self-sampling at home (Evalyn Brush). HrHPV testing is performed using Roche Cobas 4800. We collected screening test results between January 2017 and March 2018 and histological follow-up until August 2019. The main outcome measures were mean cycle threshold (Ct) value, cervical intraepithelial neoplasia (CIN) grade 3 or cancer (CIN3+) and CIN grade 2 or worse (CIN2+). Findings: 30,808 women had a self-collected and 456,207 had a clinician-collected sample. In hrHPV-positive women with adequate cytology, Ct values were higher for self-collection than clinician-collection with a mean Ct difference of 1·25 (95% CI 0·98–1·52) in women without CIN2+, 2·73 (1·75–3·72) in CIN2 and 3·59 (3·03–4·15) in CIN3+. The relative sensitivity for detecting CIN3+ was 0·94 (0·90–0·97) for self-collection versus clinician-collection and the relative specificity was 1·02 (1·02–1·02). Interpretation: The clinical accuracy of hrHPV testing on a self-collected sample for detection of CIN3+ is high and supports its use as a primary screening test for all invited women. Because of the slightly lower sensitivity of hrHPV testing on a self-collected compared to a clinician-collected sample, an evaluation of the workflow procedure to optimise clinical performance seems warranted. Funding: National Institute for Public Health and the Environment (the Netherlands) and the European Commission.
Published: 2021

16. Robot-assisted Radical Cystectomy Versus Open Radical Cystectomy in Bladder Cancer Patients: A Multicentre Comparative Effectiveness Study

Author: MS Urologische Oncologie, Cancer, Wijburg, Carl J., Michels, Charlotte T.J., Hannink, Gerjon, Grutters, Janneke P.C., Rovers, Maroeska M., Alfred Witjes, J., Witjes, J. Alfred, van Onna, Ilze E.W., Barten, Evert J., Koldewijn, Evert L., Boormans, Joost L., Wijsman, Bart P., Nooter, Ronald I., Zwaan, Peter J., Slaa, Ed te, Meer, Saskia van der, Klaver, Sjoerd O., Fossion, Laurent M.C.L., Bos, Siebe D., Melick, Harm H.E.van, Leliveld, Anna M., Meijer, Richard P., Vis, André N., Molijn, Gerard J., Berendsen, Chris L., Oddens, Jorg R., RACE Study Group, MS Urologische Oncologie, Cancer, Wijburg, Carl J., Michels, Charlotte T.J., Hannink, Gerjon, Grutters, Janneke P.C., Rovers, Maroeska M., Alfred Witjes, J., Witjes, J. Alfred, van Onna, Ilze E.W., Barten, Evert J., Koldewijn, Evert L., Boormans, Joost L., Wijsman, Bart P., Nooter, Ronald I., Zwaan, Peter J., Slaa, Ed te, Meer, Saskia van der, Klaver, Sjoerd O., Fossion, Laurent M.C.L., Bos, Siebe D., Melick, Harm H.E.van, Leliveld, Anna M., Meijer, Richard P., Vis, André N., Molijn, Gerard J., Berendsen, Chris L., Oddens, Jorg R., and RACE Study Group
Published: 2021

17. Author Correction: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil (Scientific Data, (2018), 5, 1, (180150), 10.1038/sdata.2018.150)

Author: Molijn, R.A. (author), Iannini, L. (author), Vieira Rocha, Jansle (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Vieira Rocha, Jansle (author), and Hanssen, R.F. (author)
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2020
Full Text: View/download PDF

18. Space-based SAR and optical remote sensing for productivity monitoring and mapping of sugarcane

Author: Molijn, R.A. (author) and Molijn, R.A. (author)
Abstract: In this study, research on productivity and land cover monitoring is presented, with a focus on sugarcane, based on space-based remote sensing observations that were collected by Synthetic Aperture Radar (SAR) and optical sensors. The study aims to provide new insights into techniques and methodologies that allow for cost-efficient monitoring of sugarcane productivity and the wide-scale expansion of sugarcane over long time series. It is part of a wider framework of research projects, sharing the overarching goal to contribute to a biobased society, where the resources for the production of chemicals, materials and energy are based on biomass, produced in a competitive and sustainable manner. São Paulo state, Brazil, was selected as study area, primarily because it is one of the most prominent regions worldwide that hosts sugarcane, which is one of the most prominent crops for bio-energy production. The study includes the following research. First of all, results are presented that are based on a wide range of biophysical measurements that were collected during a year-long ground measurement campaign in several sugarcane fields. These results are accompanied by detailed quality assessments, illustrating their reliability when collecting such measurements through such campaigns. In addition, the methodology for setting up and carrying out the ground campaign is explained, which was designed to minimize biomass alterations in the field in light of the use of the measurements for validation of space-based SAR and optical remote sensing signals. Secondly, remote sensing signals from various satellites are compared to the ground reference measurements in order to develop space-based sugarcane productivity monitoring techniques. It includes an analysis on the sensitivity of C-band and L-band SAR and optical observations to sugarcane biomass growth, to precipitation events and to SAR sensor configurations. In addition, the spatial features in sa, Geoscience and Remote Sensing
Published: 2020

19. Author Correction: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil (Scientific Data, (2018), 5, 1, (180150), 10.1038/sdata.2018.150)

Author: Molijn, R.A. (author), Iannini, L. (author), Vieira Rocha, Jansle (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Vieira Rocha, Jansle (author), and Hanssen, R.F. (author)
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2020
Full Text: View/download PDF

20. Space-based SAR and optical remote sensing for productivity monitoring and mapping of sugarcane

Author: Molijn, R.A. (author) and Molijn, R.A. (author)
Abstract: In this study, research on productivity and land cover monitoring is presented, with a focus on sugarcane, based on space-based remote sensing observations that were collected by Synthetic Aperture Radar (SAR) and optical sensors. The study aims to provide new insights into techniques and methodologies that allow for cost-efficient monitoring of sugarcane productivity and the wide-scale expansion of sugarcane over long time series. It is part of a wider framework of research projects, sharing the overarching goal to contribute to a biobased society, where the resources for the production of chemicals, materials and energy are based on biomass, produced in a competitive and sustainable manner. São Paulo state, Brazil, was selected as study area, primarily because it is one of the most prominent regions worldwide that hosts sugarcane, which is one of the most prominent crops for bio-energy production. The study includes the following research. First of all, results are presented that are based on a wide range of biophysical measurements that were collected during a year-long ground measurement campaign in several sugarcane fields. These results are accompanied by detailed quality assessments, illustrating their reliability when collecting such measurements through such campaigns. In addition, the methodology for setting up and carrying out the ground campaign is explained, which was designed to minimize biomass alterations in the field in light of the use of the measurements for validation of space-based SAR and optical remote sensing signals. Secondly, remote sensing signals from various satellites are compared to the ground reference measurements in order to develop space-based sugarcane productivity monitoring techniques. It includes an analysis on the sensitivity of C-band and L-band SAR and optical observations to sugarcane biomass growth, to precipitation events and to SAR sensor configurations. In addition, the spatial features in sa, Geoscience and Remote Sensing
Published: 2020

21. Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: a population-based cohort study.

Author: Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, Kok, I.M. de, Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, and Kok, I.M. de
Abstract: Contains fulltext : 215652.pdf (publisher's version ) (Open Access), BACKGROUND: In January 2017, the Dutch cervical cancer screening programme transitioned from cytomorphological to primary high-risk HPV (hrHPV) DNA screening, including the introduction of self-sampling, for women aged between 30 and 60 years. The Netherlands was the first country to switch to hrHPV screening at the national level. We investigated the health impact of this transition by comparing performance indicators from the new hrHPV-based programme with the previous cytology-based programme. METHODS: We obtained data from the Dutch nationwide network and registry of histo- and cytopathology (PALGA) for 454,573 women eligible for screening in 2017 who participated in the hrHPV-based programme between 1 January 2017 and 30 June 2018 (maximum follow-up of almost 21 months) and for 483,146 women eligible for screening in 2015 who participated in the cytology-based programme between 1 January 2015 and 31 March 2016 (maximum follow-up of 40 months). We compared indicators of participation (participation rate), referral (screen positivity; referral rate) and detection (cervical intraepithelial neoplasia (CIN) detection; number of referrals per detected CIN lesion). RESULTS: Participation in the hrHPV-based programme was significantly lower than that in the cytology-based programme (61% vs 64%). Screen positivity and direct referral rates were significantly higher in the hrHPV-based programme (positivity rate: 5% vs 9%; referral rate: 1% vs 3%). CIN2+ detection increased from 11 to 14 per 1000 women screened. Overall, approximately 2.2 times more clinical irrelevant findings (i.e.
Published: 2019

22. Performance of human papillomavirus testing on self-collected versus clinician-collected samples for the detection of cervical intraepithelial neoplasia of grade 2 or worse: a randomised, paired screen-positive, non-inferiority trial

Author: Palman, Nicole J., Ebisch, R.M.F., Heideman, Danielle A. M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, Berkhof, J., Palman, Nicole J., Ebisch, R.M.F., Heideman, Danielle A. M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 201345.pdf (publisher's version ) (Closed access)
Published: 2019

23. Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: A population-based cohort study

Author: Aitken, C.A. (Clare), Agt, H.M.E. (Heleen) van, Siebers, A.G. (Albertus), Kemenade, F.J. (Folkert) van, Niesters, H.G.M. (Bert), Melchers, W.J. (Willem), Vedder, J.E.M. (Judith), Schuurman, R. (Rob), Brule, A.J.C. van den, Linden, H. (Hans) van der, Hinrichs, J.W.J. (John W.J.), Molijn, A.C. (Anco), Hoogduin, K.J. (Klaas J.), Hemel, B.M. (Bettien) van, Kok, I.M.C.M. (Inge) de, Aitken, C.A. (Clare), Agt, H.M.E. (Heleen) van, Siebers, A.G. (Albertus), Kemenade, F.J. (Folkert) van, Niesters, H.G.M. (Bert), Melchers, W.J. (Willem), Vedder, J.E.M. (Judith), Schuurman, R. (Rob), Brule, A.J.C. van den, Linden, H. (Hans) van der, Hinrichs, J.W.J. (John W.J.), Molijn, A.C. (Anco), Hoogduin, K.J. (Klaas J.), Hemel, B.M. (Bettien) van, and Kok, I.M.C.M. (Inge) de
Abstract: Background: In January 2017, the Dutch cervical cancer screening programme transitioned from cytomorphological to primary high-risk HPV (hrHPV) DNA screening, including the introduction of self-sampling, for women aged between 30 and 60 years. The Netherlands was the first country to switch to hrHPV screening at the national level. We investigated the health impact of this transition by comparing performance indicators from the new hrHPV-based programme with the previous cytology-based programme. Methods: We obtained data from the Dutch nationwide network and registry of histo- and cytopathology (PALGA) for 454,573 women eligible for screening in 2017 who participated in the hrHPV-based programme between 1 January 2017 and 30 June 2018 (maximum follow-up of almost 21 months) and for 483,146 women eligible for screening in 2015 who participated in the cytology-based programme between 1 January 2015 and 31 March 2016 (maximum follow-up of 40 months). We compared indicators of participation (participation rate), referral (screen positivity; referral rate) and detection (cervical intraep
Published: 2019
Full Text: View/download PDF

24. Een Discursieve Interface Analyse van Nos.nl

Author: Molijn, D.R., Schäfer, M.T. (Thesis Advisor), Wieringa, M.A., Molijn, D.R., Schäfer, M.T. (Thesis Advisor), and Wieringa, M.A.
Abstract: In dit paper wordt behandeld op welke manier de veronderstelde gebruiksmogelijkheden en gebruikers van nos.nl, terug te zien zijn in de interface. Er wordt allereerst onderzocht wat publieke waarde is en hoe kenmerken daarvan terug te zien zijn in publieke media. Voor de analyse van de interface, wordt de discursive interface analysis van Mel Stanfill gebruikt. Deze methode onderzoekt, aan de hand van affordances, de normen die worden geproduceerd door interface. Met deze methode is het mogelijk om met een kritisch perspectief te kijken naar de machtsverhoudingen tussen industrie en websitebezoekers. De affordances van een website, zijn opgedeeld in drie categorieën: functionele, cognitieve en sensorische affordances. De observaties en gevonden affordances, worden onderbouwd aan de hand van scripts. Scripts zijn de manieren waarop bepaald gebruik door ontwikkelaars voor de hand liggend wordt gemaakt. Uit de analyse blijkt dat gebruiksmogelijkheden en gebruikers op verschillende manieren door de interface worden beïnvloed. Verschillende interface elementen zoals de zoekmachine, labels, nieuws categorieën en lay-out op nos.nl moedigen hiermee passief consumptiegedrag aan bij gebruikers.
Published: 2019

25. Erratum: Author Correction: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil (Scientific data (2018) 5 (180150))

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: Following publication, it was noticed that the horizontal brackets labelling the two groups of precisions present in Equation 7 are incorrectly rendered in the PDF version of this Data Descriptor. The correct Equation 7 is as follows: (Formula presented.) (Formula presented.) In addition, in the Biomass subsection of the Methods section in both the HTML and PDF versions, the term “ESUs” is incorrectly rendered as “ESUâ€™s” and the term ESUBs is incorrectly rendered as “ESUBâ€™s” Finally, throughout the manuscript, references to sections and subsections include the prefixes “sec:” and “subsec:”, respectively. These prefixes and any hyphen between the reference words that follow the prefixes can be ignored., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2019
Full Text: View/download PDF

26. Crop monitoring using Sentinel-1 data: A case study from The Netherlands

Author: Khabbazan, S. (author), Vermunt, P.C. (author), Steele-Dunne, S.C. (author), Ratering Arntz, A.M. (author), Marinetti, C. (author), van der Valk, D.H. (author), Iannini, L. (author), Molijn, R.A. (author), Westerdijk, Kees (author), van der Sande, Corné (author), Khabbazan, S. (author), Vermunt, P.C. (author), Steele-Dunne, S.C. (author), Ratering Arntz, A.M. (author), Marinetti, C. (author), van der Valk, D.H. (author), Iannini, L. (author), Molijn, R.A. (author), Westerdijk, Kees (author), and van der Sande, Corné (author)
Abstract: Agriculture is of huge economic significance in The Netherlands where the provision of real-time, reliable information on crop development is essential to support the transition towards precision agriculture. Optical imagery can provide invaluable insights into crop growth and development but is severely hampered by cloud cover. This case study in the Flevopolder illustrates the potential value of Sentinel-1 for monitoring five key crops in The Netherlands, namely sugar beet, potato, maize, wheat and English rye grass. Time series of radar backscatter from the European Space Agency's Sentinel-1 Mission are analyzed and compared to ground measurements including phenological stage and height. Temporal variations in backscatter data reflect changes in water content and structure associated with phenological development. Emergence and closure dates are estimated from the backscatter time series and validated against a photo archive. Coherence data are compared to Normalized Difference Vegetation Index (NDVI) and ground data, illustrating that the sudden increase in coherence is a useful indicator of harvest. The results presented here demonstrate that Sentinel-1 data have significant potential value to monitor growth and development of key Dutch crops. Furthermore, the guaranteed availability of Sentinel-1 imagery in clouded conditions ensures the reliability of data to meet the monitoring needs of farmers, food producers and regulatory bodies., Water Resources, Civil Engineering and Geosciences, Optical and Laser Remote Sensing, Mathematical Geodesy and Positioning
Published: 2019
Full Text: View/download PDF

27. Sugarcane productivity mapping through C-band and L-band SAR and optical satellite imagery

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time. As a result, we produced a list of conditions during which the acquisition of satellite imagery is most effective for sugarcane productivity monitoring. For this, we analyzed remote sensing data from two C-band SAR (Sentinel-1 and Radarsat-2), one L-band SAR (ALOS-2), and two optical sensors (Landsat-8 and WorldView-2), in conjunction with detailed ground-reference data acquired over several sugarcane fields in the state of São Paulo, Brazil. We conclude that satellite imagery from L-band SAR and optical sensors is preferred for monitoring sugarcane biomass growth in time and space. Additionally, C-band SAR imagery offers the potential for mapping spatial variations during specific time windows and may be further exploited for its precipitation sensitivity., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2019
Full Text: View/download PDF

28. Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: a population-based cohort study.

Author: Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, Kok, I.M. de, Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, and Kok, I.M. de
Abstract: Contains fulltext : 215652.pdf (publisher's version ) (Open Access), BACKGROUND: In January 2017, the Dutch cervical cancer screening programme transitioned from cytomorphological to primary high-risk HPV (hrHPV) DNA screening, including the introduction of self-sampling, for women aged between 30 and 60 years. The Netherlands was the first country to switch to hrHPV screening at the national level. We investigated the health impact of this transition by comparing performance indicators from the new hrHPV-based programme with the previous cytology-based programme. METHODS: We obtained data from the Dutch nationwide network and registry of histo- and cytopathology (PALGA) for 454,573 women eligible for screening in 2017 who participated in the hrHPV-based programme between 1 January 2017 and 30 June 2018 (maximum follow-up of almost 21 months) and for 483,146 women eligible for screening in 2015 who participated in the cytology-based programme between 1 January 2015 and 31 March 2016 (maximum follow-up of 40 months). We compared indicators of participation (participation rate), referral (screen positivity; referral rate) and detection (cervical intraepithelial neoplasia (CIN) detection; number of referrals per detected CIN lesion). RESULTS: Participation in the hrHPV-based programme was significantly lower than that in the cytology-based programme (61% vs 64%). Screen positivity and direct referral rates were significantly higher in the hrHPV-based programme (positivity rate: 5% vs 9%; referral rate: 1% vs 3%). CIN2+ detection increased from 11 to 14 per 1000 women screened. Overall, approximately 2.2 times more clinical irrelevant findings (i.e.
Published: 2019

29. Performance of human papillomavirus testing on self-collected versus clinician-collected samples for the detection of cervical intraepithelial neoplasia of grade 2 or worse: a randomised, paired screen-positive, non-inferiority trial

Author: Palman, Nicole J., Ebisch, R.M.F., Heideman, D.A.M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, Berkhof, J., Palman, Nicole J., Ebisch, R.M.F., Heideman, D.A.M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 201345.pdf (publisher's version ) (Closed access)
Published: 2019

30. Performance of human papillomavirus testing on self-collected versus clinician-collected samples for the detection of cervical intraepithelial neoplasia of grade 2 or worse: a randomised, paired screen-positive, non-inferiority trial

Author: Palman, Nicole J., Ebisch, R.M.F., Heideman, D.A.M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, Berkhof, J., Palman, Nicole J., Ebisch, R.M.F., Heideman, D.A.M., Melchers, W.J.G., Bekkers, R.L.M., Molijn, A., Massuger, L.F.A.G., Kemenade, F.J. van, and Berkhof, J.
Abstract: Contains fulltext : 201345.pdf (publisher's version ) (Closed access)
Published: 2019

31. Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: a population-based cohort study.

Author: Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, Kok, I.M. de, Aitken, C.A., Agt, H.M.E. van, Siebers, A.G., Kemenade, F.J. van, Niesters, H.G., Melchers, W.J.G., Vedder, J.E.M., Schuurman, R., Brule, A.J.C. van den, Linden, H.C. van der, Hinrichs, J.W., Molijn, A., Hoogduin, K.J., Hemel, B.M. van, and Kok, I.M. de
Abstract: Contains fulltext : 215652.pdf (publisher's version ) (Open Access), BACKGROUND: In January 2017, the Dutch cervical cancer screening programme transitioned from cytomorphological to primary high-risk HPV (hrHPV) DNA screening, including the introduction of self-sampling, for women aged between 30 and 60 years. The Netherlands was the first country to switch to hrHPV screening at the national level. We investigated the health impact of this transition by comparing performance indicators from the new hrHPV-based programme with the previous cytology-based programme. METHODS: We obtained data from the Dutch nationwide network and registry of histo- and cytopathology (PALGA) for 454,573 women eligible for screening in 2017 who participated in the hrHPV-based programme between 1 January 2017 and 30 June 2018 (maximum follow-up of almost 21 months) and for 483,146 women eligible for screening in 2015 who participated in the cytology-based programme between 1 January 2015 and 31 March 2016 (maximum follow-up of 40 months). We compared indicators of participation (participation rate), referral (screen positivity; referral rate) and detection (cervical intraepithelial neoplasia (CIN) detection; number of referrals per detected CIN lesion). RESULTS: Participation in the hrHPV-based programme was significantly lower than that in the cytology-based programme (61% vs 64%). Screen positivity and direct referral rates were significantly higher in the hrHPV-based programme (positivity rate: 5% vs 9%; referral rate: 1% vs 3%). CIN2+ detection increased from 11 to 14 per 1000 women screened. Overall, approximately 2.2 times more clinical irrelevant findings (i.e.
Published: 2019

32. Een Discursieve Interface Analyse van Nos.nl

Author: Molijn, D.R., Schäfer, M.T. (Thesis Advisor), Wieringa, M.A., Molijn, D.R., Schäfer, M.T. (Thesis Advisor), and Wieringa, M.A.
Abstract: In dit paper wordt behandeld op welke manier de veronderstelde gebruiksmogelijkheden en gebruikers van nos.nl, terug te zien zijn in de interface. Er wordt allereerst onderzocht wat publieke waarde is en hoe kenmerken daarvan terug te zien zijn in publieke media. Voor de analyse van de interface, wordt de discursive interface analysis van Mel Stanfill gebruikt. Deze methode onderzoekt, aan de hand van affordances, de normen die worden geproduceerd door interface. Met deze methode is het mogelijk om met een kritisch perspectief te kijken naar de machtsverhoudingen tussen industrie en websitebezoekers. De affordances van een website, zijn opgedeeld in drie categorieën: functionele, cognitieve en sensorische affordances. De observaties en gevonden affordances, worden onderbouwd aan de hand van scripts. Scripts zijn de manieren waarop bepaald gebruik door ontwikkelaars voor de hand liggend wordt gemaakt. Uit de analyse blijkt dat gebruiksmogelijkheden en gebruikers op verschillende manieren door de interface worden beïnvloed. Verschillende interface elementen zoals de zoekmachine, labels, nieuws categorieën en lay-out op nos.nl moedigen hiermee passief consumptiegedrag aan bij gebruikers.
Published: 2019

33. Erratum: Author Correction: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil (Scientific data (2018) 5 (180150))

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: Following publication, it was noticed that the horizontal brackets labelling the two groups of precisions present in Equation 7 are incorrectly rendered in the PDF version of this Data Descriptor. The correct Equation 7 is as follows: (Formula presented.) (Formula presented.) In addition, in the Biomass subsection of the Methods section in both the HTML and PDF versions, the term “ESUs” is incorrectly rendered as “ESUâ€™s” and the term ESUBs is incorrectly rendered as “ESUBâ€™s” Finally, throughout the manuscript, references to sections and subsections include the prefixes “sec:” and “subsec:”, respectively. These prefixes and any hyphen between the reference words that follow the prefixes can be ignored., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2019
Full Text: View/download PDF

34. Crop monitoring using Sentinel-1 data: A case study from The Netherlands

Author: Khabbazan, S. (author), Vermunt, P.C. (author), Steele-Dunne, S.C. (author), Ratering Arntz, A.M. (author), Marinetti, C. (author), van der Valk, D.H. (author), Iannini, L. (author), Molijn, R.A. (author), Westerdijk, Kees (author), van der Sande, Corné (author), Khabbazan, S. (author), Vermunt, P.C. (author), Steele-Dunne, S.C. (author), Ratering Arntz, A.M. (author), Marinetti, C. (author), van der Valk, D.H. (author), Iannini, L. (author), Molijn, R.A. (author), Westerdijk, Kees (author), and van der Sande, Corné (author)
Abstract: Agriculture is of huge economic significance in The Netherlands where the provision of real-time, reliable information on crop development is essential to support the transition towards precision agriculture. Optical imagery can provide invaluable insights into crop growth and development but is severely hampered by cloud cover. This case study in the Flevopolder illustrates the potential value of Sentinel-1 for monitoring five key crops in The Netherlands, namely sugar beet, potato, maize, wheat and English rye grass. Time series of radar backscatter from the European Space Agency's Sentinel-1 Mission are analyzed and compared to ground measurements including phenological stage and height. Temporal variations in backscatter data reflect changes in water content and structure associated with phenological development. Emergence and closure dates are estimated from the backscatter time series and validated against a photo archive. Coherence data are compared to Normalized Difference Vegetation Index (NDVI) and ground data, illustrating that the sudden increase in coherence is a useful indicator of harvest. The results presented here demonstrate that Sentinel-1 data have significant potential value to monitor growth and development of key Dutch crops. Furthermore, the guaranteed availability of Sentinel-1 imagery in clouded conditions ensures the reliability of data to meet the monitoring needs of farmers, food producers and regulatory bodies., Water Resources, Civil Engineering & Geosciences, Optical and Laser Remote Sensing, Mathematical Geodesy and Positioning
Published: 2019
Full Text: View/download PDF

35. Sugarcane productivity mapping through C-band and L-band SAR and optical satellite imagery

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time. As a result, we produced a list of conditions during which the acquisition of satellite imagery is most effective for sugarcane productivity monitoring. For this, we analyzed remote sensing data from two C-band SAR (Sentinel-1 and Radarsat-2), one L-band SAR (ALOS-2), and two optical sensors (Landsat-8 and WorldView-2), in conjunction with detailed ground-reference data acquired over several sugarcane fields in the state of São Paulo, Brazil. We conclude that satellite imagery from L-band SAR and optical sensors is preferred for monitoring sugarcane biomass growth in time and space. Additionally, C-band SAR imagery offers the potential for mapping spatial variations during specific time windows and may be further exploited for its precipitation sensitivity., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2019
Full Text: View/download PDF

36. Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: a population-based cohort study

Author: Aitken, Clare, Agt, Heleen, Siebers, AG, van Kemenade, Folkert, Niesters, HGM, Melchers, WJG, Vedder, JEM, Schuurman, R (Rob), van den Brule, AJC, van der Linden, HC, Hinrichs, JWJ, Molijn, A, Hoogduin, KJ, van Hemel, BM, Driesprong - de Kok, Inge, Aitken, Clare, Agt, Heleen, Siebers, AG, van Kemenade, Folkert, Niesters, HGM, Melchers, WJG, Vedder, JEM, Schuurman, R (Rob), van den Brule, AJC, van der Linden, HC, Hinrichs, JWJ, Molijn, A, Hoogduin, KJ, van Hemel, BM, and Driesprong - de Kok, Inge
Published: 2019

37. Vulvar cancer: Two pathways with different localization and prognosis

Author: Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., Hullu, J.A. de, Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., and Hullu, J.A. de
Abstract: Contains fulltext : 191984.pdf (publisher's version ) (Closed access)
Published: 2018

38. Data descriptor: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2018
Full Text: View/download PDF

39. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

Author: Molijn, R.A. (author), Iannini, L. (author), Lopez Dekker, F.J. (author), Magalhães, Paulo S.G. (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Lopez Dekker, F.J. (author), Magalhães, Paulo S.G. (author), and Hanssen, R.F. (author)
Abstract: Current space-based SAR offers unique opportunities to classify vegetation types and to monitor vegetation growth due to its frequent acquisitions and its sensitivity to vegetation geometry. However, SAR signals also experience frequent temporal fluctuations caused by precipitation events, complicating the mapping and monitoring of vegetation. In this paper, we show that the influence of a priori known precipitation events on the signals can be used advantageously for the classification of vegetation conditions. For this, we exploit the change in Sentinel-1 backscatter response between consecutive acquisitions under varying wetness conditions, which we show is dependent on the state of vegetation. The performance further improves when a priori information on the soil type is taken into account., After publication of the research paper [1], the authors wish to make the following correction. The link to the affiliation of Ramon F. Hanssen should have been (1). Hence, the affiliation of Ramon F. Hanssen is Geoscience and Remote Sensing at Delft University of Technology. The authors would like to apologize for any inconvenience caused. The change does not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage, with a reference to this correction. Reference 1. Molijn, R.A.; Iannini, L.; López Dekker, P.; Magalhães, P.S.; Hanssen, R.F. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote Sens. 2018, 10, 1647. [CrossRef], Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2018
Full Text: View/download PDF

40. Vulvar cancer: Two pathways with different localization and prognosis

Author: Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., Hullu, J.A. de, Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., and Hullu, J.A. de
Abstract: Contains fulltext : 191984.pdf (publisher's version ) (Closed access)
Published: 2018

41. Vulvar cancer: Two pathways with different localization and prognosis

Author: Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., Hullu, J.A. de, Hinten, F., Molijn, A., Eckhardt, L., Massuger, L.F.A.G., Quint, W., Bult, P., Bulten, J., Melchers, W.J.G., and Hullu, J.A. de
Abstract: Contains fulltext : 191984.pdf (publisher's version ) (Closed access)
Published: 2018

42. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals

Author: Molijn, R.A. (author), Iannini, L. (author), Lopez Dekker, F.J. (author), Magalhães, Paulo S.G. (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Lopez Dekker, F.J. (author), Magalhães, Paulo S.G. (author), and Hanssen, R.F. (author)
Abstract: Current space-based SAR offers unique opportunities to classify vegetation types and to monitor vegetation growth due to its frequent acquisitions and its sensitivity to vegetation geometry. However, SAR signals also experience frequent temporal fluctuations caused by precipitation events, complicating the mapping and monitoring of vegetation. In this paper, we show that the influence of a priori known precipitation events on the signals can be used advantageously for the classification of vegetation conditions. For this, we exploit the change in Sentinel-1 backscatter response between consecutive acquisitions under varying wetness conditions, which we show is dependent on the state of vegetation. The performance further improves when a priori information on the soil type is taken into account., After publication of the research paper [1], the authors wish to make the following correction. The link to the affiliation of Ramon F. Hanssen should have been (1). Hence, the affiliation of Ramon F. Hanssen is Geoscience and Remote Sensing at Delft University of Technology. The authors would like to apologize for any inconvenience caused. The change does not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage, with a reference to this correction. Reference 1. Molijn, R.A.; Iannini, L.; López Dekker, P.; Magalhães, P.S.; Hanssen, R.F. Vegetation Characterization through the Use of Precipitation-Affected SAR Signals. Remote Sens. 2018, 10, 1647. [CrossRef], Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2018
Full Text: View/download PDF

43. Data descriptor: Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil

Author: Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), Hanssen, R.F. (author), Molijn, R.A. (author), Iannini, L. (author), Rocha, Jansle Vieira (author), and Hanssen, R.F. (author)
Abstract: In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns., Mathematical Geodesy and Positioning, Optical and Laser Remote Sensing
Published: 2018
Full Text: View/download PDF

44. Cherenkov Telescope Array Contributions to the 35th International Cosmic Ray Conference (ICRC2017)

Author: Acero, F., Acharya, B. S., Portella, V. Acín, Adams, C., Agudo, I., Aharonian, F., Samarai, I. Al, Alberdi, A., Alcubierre, M., Alfaro, R., Alfaro, J., Alispach, C., Aloisio, R., Batista, R. Alves, Amans, J. -P., Amato, E., Ambrogi, L., Ambrosi, G., Ambrosio, M., Anderson, J., Anduze, M., Angüner, E. O., Antolini, E., Antonelli, L. A., Antonuccio, V., Antoranz, P., Aramo, C., Araya, M., Arcaro, C., Armstrong, T., Arqueros, F., Arrabito, L., Arrieta, M., Asano, K., Asano, A., Ashley, M., Aubert, P., Singh, C. B., Babic, A., Backes, M., Bajtlik, S., Balazs, C., Balbo, M., Ballester, O., Ballet, J., Ballo, L., Balzer, A., Bamba, A., Bandiera, R., Barai, P., Barbier, C., Barcelo, M., Barkov, M., de Almeida, U. Barres, Barrio, J. A., Bastieri, D., Bauer, C., Becciani, U., Becherini, Y., Tjus, J. Becker, Bednarek, W., Belfiore, A., Benbow, W., Benito, M., Berge, D., Bernardini, E., Bernardini, M. G., Bernardos, M., Bernhard, S., Bernlöhr, K., Salucci, C. Bertinelli, Bertucci, B., Besel, M. -A., Beshley, V., Bettane, J., Bhatt, N., Bhattacharyya, W., Bhattachryya, S., Biasuzzi, B., Bicknell, G., Bigongiari, C., Biland, A., Bilinsky, A., Bird, R., Bissaldi, E., Biteau, J., Bitossi, M., Blanch, O., Blasi, P., Blazek, J., Boccato, C., Bockermann, C., Boehm, C., Bohacova, M., Boisson, C., Bolmont, J., Bonanno, G., Bonardi, A., Bonavolontà, C., Bonnoli, G., Borkowski, J., Bose, R., Bosnjak, Z., Böttcher, M., Boutonnet, C., Bouyjou, F., Bowman, L., Bozhilov, V., Braiding, C., Brau-Nogué, S., Bregeon, J., Briggs, M., Brill, A., Brisken, W., Bristow, D., Britto, R., Brocato, E., Brown, A. M., Brown, S., Brügge, K., Brun, P., Brun, F., Brunetti, L., Brunetti, G., Bruno, P., Bryan, M., Buckley, J., Bugaev, V., Bühler, R., Bulgarelli, A., Bulik, T., Burton, M., Burtovoi, A., Busetto, G., Buson, S., Buss, J., Byrum, K., Caccianiga, A., Cameron, R., Canelli, F., Canestrari, R., Capalbi, M., Capasso, M., Capitanio, F., Caproni, A., Capuzzo-Dolcetta, R., Caraveo, P., Cárdenas, V., Cardenzana, J., Cardillo, M., Carlile, C., Caroff, S., Carosi, R., Carosi, A., Carquín, E., Carr, J., Casandjian, J. -M., Casanova, S., Cascone, E., Castro-Tirado, A. J., Mora, J. Castroviejo, Catalani, F., Catalano, O., Cauz, D., Silva, C. Celestino, Celli, S., Cerruti, M., Chabanne, E., Chadwick, P., Chakraborty, N., Champion, C., Chatterjee, A., Chaty, S., Chaves, R., Chen, A., Chen, X., Cheng, K., Chernyakova, M., Chikawa, M., Chitnis, V. R., Christov, A., Chudoba, J., Cieślar, M., Clark, P., Coco, V., Colafrancesco, S., Colin, P., Colombo, E., Colome, J., Colonges, S., Conforti, V., Connaughton, V., Conrad, J., Contreras, J. L., Cornat, R., Cortina, J., Costa, A., Costantini, H., Cotter, G., Courty, B., Covino, S., Covone, G., Cristofari, P., Criswell, S. J., Crocker, R., Croston, J., Crovari, C., Cuadra, J., Cuevas, O., Cui, X., Cumani, P., Cusumano, G., D'Aì, A., D'Ammando, F., D'Avanzo, P., D'Urso, D., Da Vela, P., Dale, Ø., Dang, V. T., Dangeon, L., Daniel, M., Davids, I., Dawson, B., Dazzi, F., De Angelis, A., De Caprio, V., Anjos, R. de Cássia dos, De Cesare, G., De Franco, A., De Frondat, F., Pino, E. M. de Gouveia Dal, de la Calle, I., De Lisio, C., Lopez, R. de los Reyes, De Lotto, B., De Luca, A., De Lucia, M., Neto, J. R. T. de Mello, de Naurois, M., Wilhelmi, E. de Oña, De Palma, F., De Persio, F., de Souza, V., Decock, J., Deil, C., Deiml, P., Del Santo, M., Delagnes, E., Deleglise, G., Reznicek, M. Delfino, Delgado, C., Mengual, J. Delgado, Della Ceca, R., della Volpe, D., Detournay, M., Devin, J., Di Girolamo, T., Di Giulio, C., Di Pierro, F., Di Venere, L., Diaz, L., Díaz, C., Dib, C., Dickinson, H., Diebold, S., Digel, S., Djannati-Ataï, A., Doert, M., Domínguez, A., Prester, D. Dominis, Donnarumma, I., Dorner, D., Doro, M., Dournaux, J. -L., Downes, T., Drake, G., Drappeau, S., Drass, H., Dravins, D., Drury, L., Dubus, G., Morå, K. Dundas, Durkalec, A., Dwarkadas, V., Ebr, J., Eckner, C., Edy, E., Egberts, K., Einecke, S., Eisch, J., Eisenkolb, F., Ekoume, T. R. N., Eleftheriadis, C., Elsässer, D., Emmanoulopoulos, D., Ernenwein, J. -P., Escarate, P., Eschbach, S., Espinoza, C., Evans, P., Evoli, C., Fairbairn, M., Falceta-Goncalves, D., Falcone, A., Ramazani, V. Fallah, Farakos, K., Farrell, E., Fasola, G., Favre, Y., Fede, E., Fedora, R., Fedorova, E., Fegan, S., Fernandez-Alonso, M., Fernández-Barral, A., Ferrand, G., Ferreira, O., Fesquet, M., Fiandrini, E., Fiasson, A., Filipovic, M., Fink, D., Finley, J. P., Finley, C., Finoguenov, A., Fioretti, V., Fiorini, M., Flores, H., Foffano, L., Föhr, C., Fonseca, M. V., Font, L., Fontaine, G., Fornasa, M., Fortin, P., Fortson, L., Fouque, N., Fraga, B., Franco, F. J., Coromina, L. Freixas, Fruck, C., Fugazza, D., Fujita, Y., Fukami, S., Fukazawa, Y., Fukui, Y., Funk, S., Furniss, A., Füßling, M., Gabici, S., Gadola, A., Gallant, Y., Galloway, D., Gallozzi, S., Garcia, B., Garcia, A., Gil, R. García, López, R. Garcia, Garczarczyk, M., Gardiol, D., Gargano, F., Gargano, C., Garozzo, S., Garrido-Ruiz, M., Gascon, D., Gasparetto, T., Gaté, F., Gaug, M., Gebhardt, B., Gebyehu, M., Geffroy, N., Genolini, B., Ghalumyan, A., Ghedina, A., Ghirlanda, G., Giammaria, P., Gianotti, F., Giebels, B., Giglietto, N., Gika, V., Gimenes, R., Giommi, P., Giordano, F., Giovannini, G., Giro, E., Giroletti, M., Gironnet, J., Giuliani, A., Glicenstein, J. -F., Gnatyk, R., Godinovic, N., Goldoni, P., Gómez, J. L., Gómez-Vargas, G., González, M. M., González, J. M., Gothe, K. S., Gotz, D., Goullon, J., Grabarczyk, T., Graciani, R., Graham, J., Grandi, P., Granot, J., Grasseau, G., Gredig, R., Green, A. J., Greenshaw, T., Grenier, I., Griffiths, S., Grillo, A., Grondin, M. -H., Grube, J., Guarino, V., Guest, B., Gueta, O., Gunji, S., Gyuk, G., Hadasch, D., Hagge, L., Hahn, J., Hahn, A., Hakobyan, H., Hara, S., Hardcastle, M. J., Hassan, T., Haubold, T., Haupt, A., Hayashi, K., Hayashida, M., He, H., Heller, M., Helo, J. C., Henault, F., Henri, G., Hermann, G., Hermel, R., Llorente, J. Herrera, Herrero, A., Hervet, O., Hidaka, N., Hinton, J., Hiroshima, N., Hirotani, K., Hnatyk, B., Hoang, J. K., Hoffmann, D., Hofmann, W., Holder, J., Horan, D., Hörandel, J., Hörbe, M., Horns, D., Horvath, P., Houles, J., Hovatta, T., Hrabovsky, M., Hrupec, D., Huet, J. -M., Hughes, G., Hui, D., Hull, G., Humensky, T. B., Hussein, M., Hütten, M., Iarlori, M., Ikeno, Y., Illa, J. M., Impiombato, D., Inada, T., Ingallinera, A., Inome, Y., Inoue, S., Inoue, T., Inoue, Y., Iocco, F., Ioka, K., Ionica, M., Iori, M., Iriarte, A., Ishio, K., Israel, G. L., Iwamura, Y., Jablonski, C., Jacholkowska, A., Jacquemier, J., Jamrozy, M., Janecek, P., Jankowsky, F., Jankowsky, D., Jansweijer, P., Jarnot, C., Jean, P., Johnson, C. A., Josselin, M., Jung-Richardt, I., Jurysek, J., Kaaret, P., Kachru, P., Kagaya, M., Kakuwa, J., Kalekin, O., Kankanyan, R., Karastergiou, A., Karczewski, M., Karkar, S., Katagiri, H., Kataoka, J., Katarzyński, K., Katz, U., Kawanaka, N., Kaye, L., Kazanas, D., Kelley-Hoskins, N., Khélifi, B., Kieda, D. B., Kihm, T., Kimeswenger, S., Kimura, S., Kisaka, S., Kishida, S., Kissmann, R., Kluźniak, W., Knapen, J., Knapp, J., Knödlseder, J., Koch, B., Kocot, J., Kohri, K., Komin, N., Kong, A., Konno, Y., Kosack, K., Kowal, G., Koyama, S., Kraus, M., Krause, M., Krauß, F., Krennrich, F., Kruger, P., Kubo, H., Kudryavtsev, V., Mezek, G. Kukec, Kumar, S., Kuroda, H., Kushida, J., Kushwaha, P., La Palombara, N., La Parola, V., La Rosa, G., Lahmann, R., Lalik, K., Lamanna, G., Landoni, M., Landriu, D., Landt, H., Lang, R. G., Lapington, J., Laporte, P., Blanc, O. Le, Flour, T. Le, Sidaner, P. Le, Leach, S., Leckngam, A., Lee, S. -H., Lee, W. H., Lees, J. -P., Lefaucheur, J., de Oliveira, M. A. Leigui, Lemoine-Goumard, M., Lenain, J. -P., Leto, G., Lico, R., Limon, M., Lindemann, R., Lindfors, E., Linhoff, L., Lipniacka, A., Lloyd, S., Lohse, T., Lombardi, S., Longo, F., Lopez, M., Lopez-Coto, R., Louge, T., Louis, F., Louys, M., Lucarelli, F., Lucchesi, D., Luque-Escamilla, P. L., Lyard, E., Maccarone, M. C., Maccarone, T., Mach, E., Madejski, G. M., Maier, G., Majczyna, A., Majumdar, P., Makariev, M., Malaguti, G., Malouf, A., Maltezos, S., Malyshev, D., Mandat, D., Maneva, G., Manganaro, M., Mangano, S., Manigot, P., Mannheim, K., Maragos, N., Marano, D., Marcowith, A., Marín, J., Mariotti, M., Marisaldi, M., Markoff, S., Martí, J., Martin, J. -M., Martin, P., Martin, L., Martínez, M., Martínez, G., Martínez, O., Marx, R., Masetti, N., Massimino, P., Mastichiadis, A., Mastropietro, M., Masuda, S., Matsumoto, H., Matthews, N., Mattiazzo, S., Maurin, G., Maxted, N., Mayer, M., Mazin, D., Mazziotta, M. N., Comb, L. Mc, McHardy, I., Medina, C., Melandri, A., Melioli, C., Melkumyan, D., Mereghetti, S., Meunier, J. -L., Meures, T., Meyer, M., Micanovic, S., Michael, T., Michałowski, J., Mievre, I., Miller, J., Minaya, I. A., Mineo, T., Mirabel, F., Miranda, J. M., Mirzoyan, R., Mitchell, A., Mizuno, T., Moderski, R., Mohammed, M., Mohrmann, L., Molijn, C., Molinari, E., Moncada, R., Montaruli, T., Monteiro, I., Mooney, D., Moore, P., Moralejo, A., Morcuende-Parrilla, D., Moretti, E., Mori, K., Morlino, G., Morris, P., Morselli, A., Moscato, F., Motohashi, D., Moulin, E., Mueller, S., Mukherjee, R., Munar, P., Mundell, C., Mundet, J., Murach, T., Muraishi, H., Murase, K., Murphy, A., Nagai, A., Nagar, N., Nagataki, S., Nagayoshi, T., Nagesh, B. K., Naito, T., Nakajima, D., Nakamori, T., Nakamura, Y., Nakayama, K., Naumann, D., Nayman, P., Neise, D., Nellen, L., Nemmen, R., Neronov, A., Neyroud, N., Nguyen, T., Nguyen, T. T., Trung, T. 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A., Perri, L., Perri, M., Persic, M., Petrashyk, A., Petrera, S., Petrucci, P. -O., Petruk, O., Peyaud, B., Pfeifer, M., Piano, G., Piel, Q., Pieloth, D., Pintore, F., García, C. Pio, Pisarski, A., Pita, S., Pizarro, L., Platos, Ł., Pohl, M., Poireau, V., Pollo, A., Porthault, J., Poutanen, J., Pozo, D., Prandini, E., Prasit, P., Prast, J., Pressard, K., Principe, G., Prokhorov, D., Prokoph, H., Prouza, M., Pruteanu, G., Pueschel, E., Pühlhofer, G., Puljak, I., Punch, M., Pürckhauer, S., Queiroz, F., Quinn, J., Quirrenbach, A., Rafighi, I., Rainò, S., Rajda, P. J., Rando, R., Rannot, R. C., Razzaque, S., Reichardt, I., Reimer, O., Reimer, A., Reisenegger, A., Renaud, M., Reposeur, T., Reville, B., Rezaeian, A. H., Rhode, W., Ribeiro, D., Ribó, M., Richer, M. G., Richtler, T., Rico, J., Rieger, F., Riquelme, M., Ristori, P. R., Rivoire, S., Rizi, V., Rodriguez, J., Fernandez, G. Rodriguez, Vázquez, J. J. Rodríguez, Rojas, G., Romano, P., Romeo, G., Roncadelli, M., Rosado, J., Rosen, S., Lees, S. Rosier, Rousselle, J., Rovero, A. C., Rowell, G., Rudak, B., Rugliancich, A., del Mazo, J. E. Ruíz, Rujopakarn, W., Rulten, C., Russo, F., Saavedra, O., Sabatini, S., Sacco, B., Sadeh, I., Hatlen, E. Sæther, Safi-Harb, S., Sahakian, V., Sailer, S., Saito, T., Sakaki, N., Sakurai, S., Salek, D., Greus, F. Salesa, Salina, G., Sanchez, D., Sánchez-Conde, M., Sandaker, H., Sandoval, A., Sangiorgi, P., Sanguillon, M., Sano, H., Santander, M., Santangelo, A., Santos, E. M., Sanuy, A., Sapozhnikov, L., Sarkar, S., Satalecka, K., Sato, Y., Saturni, F. G., Savalle, R., Sawada, M., Schanne, S., Schioppa, E. J., Schlenstedt, S., Schmidt, T., Schmoll, J., Schneider, M., Schoorlemmer, H., Schovanek, P., Schulz, A., Schussler, F., Schwanke, U., Schwarz, J., Schweizer, T., Schwemmer, S., Sciacca, E., Scuderi, S., Seglar-Arroyo, M., Segreto, A., Seitenzahl, I., Semikoz, D., Sergijenko, O., Serre, N., Servillat, M., Seweryn, K., Shah, K., Shalchi, A., Sharma, M., Shellard, R. C., Shilon, I., Sidoli, L., Sidz, M., Siejkowski, H., Silk, J., Sillanpää, A., Simone, D., Singh, B. B., Sironi, G., Sitarek, J., Sizun, P., Sliusar, V., Slowikowska, A., Smith, A., Sobczyńska, D., Sokolenko, A., Sol, H., Sottile, G., Springer, W., Stahl, O., Stamerra, A., Stanič, S., Starling, R., Staszak, D., Stawarz, Ł., Steenkamp, R., Stefanik, S., Stegmann, C., Steiner, S., Stella, C., Stephan, M., Sternberger, R., Sterzel, M., Stevenson, B., Stodulska, M., Stodulski, M., Stolarczyk, T., Stratta, G., Straumann, U., Stuik, R., Suchenek, M., Suomijarvi, T., Supanitsky, A. D., Suric, T., Sushch, I., Sutcliffe, P., Sykes, J., Szanecki, M., Szepieniec, T., Tagliaferri, G., Tajima, H., Takahashi, K., Takahashi, H., Takahashi, M., Takalo, L., Takami, S., Takata, J., Takeda, J., Tam, T., Tanaka, M., Tanaka, T., Tanaka, Y., Tanaka, S., Tanci, C., Tavani, M., Tavecchio, F., Tavernet, J. -P., Tayabaly, K., Tejedor, L. A., Temme, F., Temnikov, P., Terada, Y., Terrazas, J. C., Terrier, R., Terront, D., Terzic, T., Tescaro, D., Teshima, M., Testa, V., Thoudam, S., Tian, W., Tibaldo, L., Tiengo, A., Tiziani, D., Tluczykont, M., Peixoto, C. J. Todero, Tokanai, F., Tokarz, M., Toma, K., Tomastik, J., Tonachini, A., Tonev, D., Tornikoski, M., Torres, D. F., Torresi, E., Tosti, G., Totani, T., Tothill, N., Toussenel, F., Tovmassian, G., Trakarnsirinont, N., Travnicek, P., Trichard, C., Trifoglio, M., Pujadas, I. Troyano, Tsirou, M., Tsujimoto, S., Tsuru, T., Uchiyama, Y., Umana, G., Uslenghi, M., Vagelli, V., Vagnetti, F., Valentino, M., Vallania, P., Valore, L., Berg, A. M. Van den, van Driel, W., van Eldik, C., van Soelen, B., Vandenbroucke, J., Vanderwalt, J., Varner, G. S., Vasileiadis, G., Vassiliev, V., Vázquez, J. R., Acosta, M. Vázquez, Vecchi, M., Vega, A., Veitch, P., Venault, P., Venter, C., Vercellone, S., Veres, P., Vergani, S., Verzi, V., Vettolani, G. P., Veyssiere, C., Viana, A., Vicha, J., Vigorito, C., Villanueva, J., Vincent, P., Vink, J., Visconti, F., Vittorini, V., Voelk, H., Voisin, V., Vollhardt, A., Vorobiov, S., Vovk, I., Vrastil, M., Vuillaume, T., Wagner, S. J., Wagner, R., Wagner, P., Wakely, S. P., Walstra, T., Walter, R., Ward, M., Ward, J. E., Warren, D., Watson, J. J., Webb, N., Wegner, P., Weiner, O., Weinstein, A., Weniger, C., Werner, F., Wetteskind, H., White, M., White, R., Wierzcholska, A., Wiesand, S., Wijers, R., Wilcox, P., Wilhelm, A., Wilkinson, M., Will, M., Williams, D. A., Winter, M., Wojcik, P., Wolf, D., Wood, M., Wörnlein, A., Wu, T., Yadav, K. K., Yaguna, C., Yamamoto, T., Yamamoto, H., Yamane, N., Yamazaki, R., Yanagita, S., Yang, L., Yelos, D., Yoshida, T., Yoshida, M., Yoshiike, S., Yoshikoshi, T., Yu, P., Zaborov, D., Zacharias, M., Zaharijas, G., Zajczyk, A., Zampieri, L., Zandanel, F., Zanin, R., Sanchez, R. Zanmar, Zaric, D., Zavrtanik, M., Zavrtanik, D., Zdziarski, A. A., Zech, A., Zechlin, H., Zhdanov, V. I., Ziegler, A., Ziemann, J., Ziętara, K., Zink, A., Ziółkowski, J., Zitelli, V., Zoli, A., and Zorn, J.
Abstract: List of contributions from the Cherenkov Telescope Array Consortium presented at the 35th International Cosmic Ray Conference, July 12-20 2017, Busan, Korea., Comment: Index of Cherenkov Telescope Array conference proceedings at the ICRC2017, Busan, Korea
Published: 2017

45. Cherenkov Telescope Array Contributions to the 35th International Cosmic Ray Conference (ICRC2017)

Author: Acero, F., Acharya, B. S., Portella, V. Acín, Adams, C., Agudo, I., Aharonian, F., Samarai, I. Al, Alberdi, A., Alcubierre, M., Alfaro, R., Alfaro, J., Alispach, C., Aloisio, R., Batista, R. Alves, Amans, J. -P., Amato, E., Ambrogi, L., Ambrosi, G., Ambrosio, M., Anderson, J., Anduze, M., Angüner, E. O., Antolini, E., Antonelli, L. A., Antonuccio, V., Antoranz, P., Aramo, C., Araya, M., Arcaro, C., Armstrong, T., Arqueros, F., Arrabito, L., Arrieta, M., Asano, K., Asano, A., Ashley, M., Aubert, P., Singh, C. B., Babic, A., Backes, M., Bajtlik, S., Balazs, C., Balbo, M., Ballester, O., Ballet, J., Ballo, L., Balzer, A., Bamba, A., Bandiera, R., Barai, P., Barbier, C., Barcelo, M., Barkov, M., de Almeida, U. Barres, Barrio, J. A., Bastieri, D., Bauer, C., Becciani, U., Becherini, Y., Tjus, J. Becker, Bednarek, W., Belfiore, A., Benbow, W., Benito, M., Berge, D., Bernardini, E., Bernardini, M. G., Bernardos, M., Bernhard, S., Bernlöhr, K., Salucci, C. Bertinelli, Bertucci, B., Besel, M. -A., Beshley, V., Bettane, J., Bhatt, N., Bhattacharyya, W., Bhattachryya, S., Biasuzzi, B., Bicknell, G., Bigongiari, C., Biland, A., Bilinsky, A., Bird, R., Bissaldi, E., Biteau, J., Bitossi, M., Blanch, O., Blasi, P., Blazek, J., Boccato, C., Bockermann, C., Boehm, C., Bohacova, M., Boisson, C., Bolmont, J., Bonanno, G., Bonardi, A., Bonavolontà, C., Bonnoli, G., Borkowski, J., Bose, R., Bosnjak, Z., Böttcher, M., Boutonnet, C., Bouyjou, F., Bowman, L., Bozhilov, V., Braiding, C., Brau-Nogué, S., Bregeon, J., Briggs, M., Brill, A., Brisken, W., Bristow, D., Britto, R., Brocato, E., Brown, A. M., Brown, S., Brügge, K., Brun, P., Brun, F., Brunetti, L., Brunetti, G., Bruno, P., Bryan, M., Buckley, J., Bugaev, V., Bühler, R., Bulgarelli, A., Bulik, T., Burton, M., Burtovoi, A., Busetto, G., Buson, S., Buss, J., Byrum, K., Caccianiga, A., Cameron, R., Canelli, F., Canestrari, R., Capalbi, M., Capasso, M., Capitanio, F., Caproni, A., Capuzzo-Dolcetta, R., Caraveo, P., Cárdenas, V., Cardenzana, J., Cardillo, M., Carlile, C., Caroff, S., Carosi, R., Carosi, A., Carquín, E., Carr, J., Casandjian, J. -M., Casanova, S., Cascone, E., Castro-Tirado, A. J., Mora, J. Castroviejo, Catalani, F., Catalano, O., Cauz, D., Silva, C. Celestino, Celli, S., Cerruti, M., Chabanne, E., Chadwick, P., Chakraborty, N., Champion, C., Chatterjee, A., Chaty, S., Chaves, R., Chen, A., Chen, X., Cheng, K., Chernyakova, M., Chikawa, M., Chitnis, V. R., Christov, A., Chudoba, J., Cieślar, M., Clark, P., Coco, V., Colafrancesco, S., Colin, P., Colombo, E., Colome, J., Colonges, S., Conforti, V., Connaughton, V., Conrad, J., Contreras, J. L., Cornat, R., Cortina, J., Costa, A., Costantini, H., Cotter, G., Courty, B., Covino, S., Covone, G., Cristofari, P., Criswell, S. J., Crocker, R., Croston, J., Crovari, C., Cuadra, J., Cuevas, O., Cui, X., Cumani, P., Cusumano, G., D'Aì, A., D'Ammando, F., D'Avanzo, P., D'Urso, D., Da Vela, P., Dale, Ø., Dang, V. T., Dangeon, L., Daniel, M., Davids, I., Dawson, B., Dazzi, F., De Angelis, A., De Caprio, V., Anjos, R. de Cássia dos, De Cesare, G., De Franco, A., De Frondat, F., Pino, E. M. de Gouveia Dal, de la Calle, I., De Lisio, C., Lopez, R. de los Reyes, De Lotto, B., De Luca, A., De Lucia, M., Neto, J. R. T. de Mello, de Naurois, M., Wilhelmi, E. de Oña, De Palma, F., De Persio, F., de Souza, V., Decock, J., Deil, C., Deiml, P., Del Santo, M., Delagnes, E., Deleglise, G., Reznicek, M. Delfino, Delgado, C., Mengual, J. Delgado, Della Ceca, R., della Volpe, D., Detournay, M., Devin, J., Di Girolamo, T., Di Giulio, C., Di Pierro, F., Di Venere, L., Diaz, L., Díaz, C., Dib, C., Dickinson, H., Diebold, S., Digel, S., Djannati-Ataï, A., Doert, M., Domínguez, A., Prester, D. Dominis, Donnarumma, I., Dorner, D., Doro, M., Dournaux, J. -L., Downes, T., Drake, G., Drappeau, S., Drass, H., Dravins, D., Drury, L., Dubus, G., Morå, K. Dundas, Durkalec, A., Dwarkadas, V., Ebr, J., Eckner, C., Edy, E., Egberts, K., Einecke, S., Eisch, J., Eisenkolb, F., Ekoume, T. R. N., Eleftheriadis, C., Elsässer, D., Emmanoulopoulos, D., Ernenwein, J. -P., Escarate, P., Eschbach, S., Espinoza, C., Evans, P., Evoli, C., Fairbairn, M., Falceta-Goncalves, D., Falcone, A., Ramazani, V. Fallah, Farakos, K., Farrell, E., Fasola, G., Favre, Y., Fede, E., Fedora, R., Fedorova, E., Fegan, S., Fernandez-Alonso, M., Fernández-Barral, A., Ferrand, G., Ferreira, O., Fesquet, M., Fiandrini, E., Fiasson, A., Filipovic, M., Fink, D., Finley, J. P., Finley, C., Finoguenov, A., Fioretti, V., Fiorini, M., Flores, H., Foffano, L., Föhr, C., Fonseca, M. V., Font, L., Fontaine, G., Fornasa, M., Fortin, P., Fortson, L., Fouque, N., Fraga, B., Franco, F. J., Coromina, L. Freixas, Fruck, C., Fugazza, D., Fujita, Y., Fukami, S., Fukazawa, Y., Fukui, Y., Funk, S., Furniss, A., Füßling, M., Gabici, S., Gadola, A., Gallant, Y., Galloway, D., Gallozzi, S., Garcia, B., Garcia, A., Gil, R. García, López, R. Garcia, Garczarczyk, M., Gardiol, D., Gargano, F., Gargano, C., Garozzo, S., Garrido-Ruiz, M., Gascon, D., Gasparetto, T., Gaté, F., Gaug, M., Gebhardt, B., Gebyehu, M., Geffroy, N., Genolini, B., Ghalumyan, A., Ghedina, A., Ghirlanda, G., Giammaria, P., Gianotti, F., Giebels, B., Giglietto, N., Gika, V., Gimenes, R., Giommi, P., Giordano, F., Giovannini, G., Giro, E., Giroletti, M., Gironnet, J., Giuliani, A., Glicenstein, J. -F., Gnatyk, R., Godinovic, N., Goldoni, P., Gómez, J. L., Gómez-Vargas, G., González, M. M., González, J. M., Gothe, K. S., Gotz, D., Goullon, J., Grabarczyk, T., Graciani, R., Graham, J., Grandi, P., Granot, J., Grasseau, G., Gredig, R., Green, A. J., Greenshaw, T., Grenier, I., Griffiths, S., Grillo, A., Grondin, M. -H., Grube, J., Guarino, V., Guest, B., Gueta, O., Gunji, S., Gyuk, G., Hadasch, D., Hagge, L., Hahn, J., Hahn, A., Hakobyan, H., Hara, S., Hardcastle, M. J., Hassan, T., Haubold, T., Haupt, A., Hayashi, K., Hayashida, M., He, H., Heller, M., Helo, J. C., Henault, F., Henri, G., Hermann, G., Hermel, R., Llorente, J. Herrera, Herrero, A., Hervet, O., Hidaka, N., Hinton, J., Hiroshima, N., Hirotani, K., Hnatyk, B., Hoang, J. K., Hoffmann, D., Hofmann, W., Holder, J., Horan, D., Hörandel, J., Hörbe, M., Horns, D., Horvath, P., Houles, J., Hovatta, T., Hrabovsky, M., Hrupec, D., Huet, J. -M., Hughes, G., Hui, D., Hull, G., Humensky, T. B., Hussein, M., Hütten, M., Iarlori, M., Ikeno, Y., Illa, J. M., Impiombato, D., Inada, T., Ingallinera, A., Inome, Y., Inoue, S., Inoue, T., Inoue, Y., Iocco, F., Ioka, K., Ionica, M., Iori, M., Iriarte, A., Ishio, K., Israel, G. L., Iwamura, Y., Jablonski, C., Jacholkowska, A., Jacquemier, J., Jamrozy, M., Janecek, P., Jankowsky, F., Jankowsky, D., Jansweijer, P., Jarnot, C., Jean, P., Johnson, C. A., Josselin, M., Jung-Richardt, I., Jurysek, J., Kaaret, P., Kachru, P., Kagaya, M., Kakuwa, J., Kalekin, O., Kankanyan, R., Karastergiou, A., Karczewski, M., Karkar, S., Katagiri, H., Kataoka, J., Katarzyński, K., Katz, U., Kawanaka, N., Kaye, L., Kazanas, D., Kelley-Hoskins, N., Khélifi, B., Kieda, D. B., Kihm, T., Kimeswenger, S., Kimura, S., Kisaka, S., Kishida, S., Kissmann, R., Kluźniak, W., Knapen, J., Knapp, J., Knödlseder, J., Koch, B., Kocot, J., Kohri, K., Komin, N., Kong, A., Konno, Y., Kosack, K., Kowal, G., Koyama, S., Kraus, M., Krause, M., Krauß, F., Krennrich, F., Kruger, P., Kubo, H., Kudryavtsev, V., Mezek, G. Kukec, Kumar, S., Kuroda, H., Kushida, J., Kushwaha, P., La Palombara, N., La Parola, V., La Rosa, G., Lahmann, R., Lalik, K., Lamanna, G., Landoni, M., Landriu, D., Landt, H., Lang, R. G., Lapington, J., Laporte, P., Blanc, O. Le, Flour, T. Le, Sidaner, P. Le, Leach, S., Leckngam, A., Lee, S. -H., Lee, W. H., Lees, J. -P., Lefaucheur, J., de Oliveira, M. A. Leigui, Lemoine-Goumard, M., Lenain, J. -P., Leto, G., Lico, R., Limon, M., Lindemann, R., Lindfors, E., Linhoff, L., Lipniacka, A., Lloyd, S., Lohse, T., Lombardi, S., Longo, F., Lopez, M., Lopez-Coto, R., Louge, T., Louis, F., Louys, M., Lucarelli, F., Lucchesi, D., Luque-Escamilla, P. L., Lyard, E., Maccarone, M. C., Maccarone, T., Mach, E., Madejski, G. M., Maier, G., Majczyna, A., Majumdar, P., Makariev, M., Malaguti, G., Malouf, A., Maltezos, S., Malyshev, D., Mandat, D., Maneva, G., Manganaro, M., Mangano, S., Manigot, P., Mannheim, K., Maragos, N., Marano, D., Marcowith, A., Marín, J., Mariotti, M., Marisaldi, M., Markoff, S., Martí, J., Martin, J. -M., Martin, P., Martin, L., Martínez, M., Martínez, G., Martínez, O., Marx, R., Masetti, N., Massimino, P., Mastichiadis, A., Mastropietro, M., Masuda, S., Matsumoto, H., Matthews, N., Mattiazzo, S., Maurin, G., Maxted, N., Mayer, M., Mazin, D., Mazziotta, M. N., Comb, L. Mc, McHardy, I., Medina, C., Melandri, A., Melioli, C., Melkumyan, D., Mereghetti, S., Meunier, J. -L., Meures, T., Meyer, M., Micanovic, S., Michael, T., Michałowski, J., Mievre, I., Miller, J., Minaya, I. A., Mineo, T., Mirabel, F., Miranda, J. M., Mirzoyan, R., Mitchell, A., Mizuno, T., Moderski, R., Mohammed, M., Mohrmann, L., Molijn, C., Molinari, E., Moncada, R., Montaruli, T., Monteiro, I., Mooney, D., Moore, P., Moralejo, A., Morcuende-Parrilla, D., Moretti, E., Mori, K., Morlino, G., Morris, P., Morselli, A., Moscato, F., Motohashi, D., Moulin, E., Mueller, S., Mukherjee, R., Munar, P., Mundell, C., Mundet, J., Murach, T., Muraishi, H., Murase, K., Murphy, A., Nagai, A., Nagar, N., Nagataki, S., Nagayoshi, T., Nagesh, B. K., Naito, T., Nakajima, D., Nakamori, T., Nakamura, Y., Nakayama, K., Naumann, D., Nayman, P., Neise, D., Nellen, L., Nemmen, R., Neronov, A., Neyroud, N., Nguyen, T., Nguyen, T. T., Trung, T. Nguyen, Nicastro, L., Nicolau-Kukliński, J., Niemiec, J., Nieto, D., Nievas-Rosillo, M., Nikołajuk, M., Nishijima, K., Nishikawa, K. -I., Nishiyama, G., Noda, K., Nogues, L., Nolan, S., Nosek, D., Nöthe, M., Novosyadlyj, B., Nozaki, S., Nunio, F., O'Brien, P., Oakes, L., Ocampo, C., Ochoa, J. P., Oger, R., Ohira, Y., Ohishi, M., Ohm, S., Okazaki, N., Okumura, A., Olive, J. -F., Ong, R. A., Orienti, M., Orito, R., Orlati, A., Osborne, J. P., Ostrowski, M., Otte, N., Ou, Z., Ovcharov, E., Oya, I., Ozieblo, A., Padovani, M., Paiano, S., Paizis, A., Palacio, J., Palatiello, M., Palatka, M., Pallotta, J., Panazol, J. -L., Paneque, D., Panter, M., Paoletti, R., Paolillo, M., Papitto, A., Paravac, A., Paredes, J. M., Pareschi, G., Parsons, R. D., Paśko, P., Pavy, S., Pe'er, A., Pech, M., Pedaletti, G., Del Campo, P. Peñil, Perez, A., Pérez-Torres, M. A., Perri, L., Perri, M., Persic, M., Petrashyk, A., Petrera, S., Petrucci, P. -O., Petruk, O., Peyaud, B., Pfeifer, M., Piano, G., Piel, Q., Pieloth, D., Pintore, F., García, C. Pio, Pisarski, A., Pita, S., Pizarro, L., Platos, Ł., Pohl, M., Poireau, V., Pollo, A., Porthault, J., Poutanen, J., Pozo, D., Prandini, E., Prasit, P., Prast, J., Pressard, K., Principe, G., Prokhorov, D., Prokoph, H., Prouza, M., Pruteanu, G., Pueschel, E., Pühlhofer, G., Puljak, I., Punch, M., Pürckhauer, S., Queiroz, F., Quinn, J., Quirrenbach, A., Rafighi, I., Rainò, S., Rajda, P. J., Rando, R., Rannot, R. C., Razzaque, S., Reichardt, I., Reimer, O., Reimer, A., Reisenegger, A., Renaud, M., Reposeur, T., Reville, B., Rezaeian, A. H., Rhode, W., Ribeiro, D., Ribó, M., Richer, M. G., Richtler, T., Rico, J., Rieger, F., Riquelme, M., Ristori, P. R., Rivoire, S., Rizi, V., Rodriguez, J., Fernandez, G. Rodriguez, Vázquez, J. J. Rodríguez, Rojas, G., Romano, P., Romeo, G., Roncadelli, M., Rosado, J., Rosen, S., Lees, S. Rosier, Rousselle, J., Rovero, A. C., Rowell, G., Rudak, B., Rugliancich, A., del Mazo, J. E. Ruíz, Rujopakarn, W., Rulten, C., Russo, F., Saavedra, O., Sabatini, S., Sacco, B., Sadeh, I., Hatlen, E. Sæther, Safi-Harb, S., Sahakian, V., Sailer, S., Saito, T., Sakaki, N., Sakurai, S., Salek, D., Greus, F. Salesa, Salina, G., Sanchez, D., Sánchez-Conde, M., Sandaker, H., Sandoval, A., Sangiorgi, P., Sanguillon, M., Sano, H., Santander, M., Santangelo, A., Santos, E. M., Sanuy, A., Sapozhnikov, L., Sarkar, S., Satalecka, K., Sato, Y., Saturni, F. G., Savalle, R., Sawada, M., Schanne, S., Schioppa, E. J., Schlenstedt, S., Schmidt, T., Schmoll, J., Schneider, M., Schoorlemmer, H., Schovanek, P., Schulz, A., Schussler, F., Schwanke, U., Schwarz, J., Schweizer, T., Schwemmer, S., Sciacca, E., Scuderi, S., Seglar-Arroyo, M., Segreto, A., Seitenzahl, I., Semikoz, D., Sergijenko, O., Serre, N., Servillat, M., Seweryn, K., Shah, K., Shalchi, A., Sharma, M., Shellard, R. C., Shilon, I., Sidoli, L., Sidz, M., Siejkowski, H., Silk, J., Sillanpää, A., Simone, D., Singh, B. B., Sironi, G., Sitarek, J., Sizun, P., Sliusar, V., Slowikowska, A., Smith, A., Sobczyńska, D., Sokolenko, A., Sol, H., Sottile, G., Springer, W., Stahl, O., Stamerra, A., Stanič, S., Starling, R., Staszak, D., Stawarz, Ł., Steenkamp, R., Stefanik, S., Stegmann, C., Steiner, S., Stella, C., Stephan, M., Sternberger, R., Sterzel, M., Stevenson, B., Stodulska, M., Stodulski, M., Stolarczyk, T., Stratta, G., Straumann, U., Stuik, R., Suchenek, M., Suomijarvi, T., Supanitsky, A. 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D., Suric, T., Sushch, I., Sutcliffe, P., Sykes, J., Szanecki, M., Szepieniec, T., Tagliaferri, G., Tajima, H., Takahashi, K., Takahashi, H., Takahashi, M., Takalo, L., Takami, S., Takata, J., Takeda, J., Tam, T., Tanaka, M., Tanaka, T., Tanaka, Y., Tanaka, S., Tanci, C., Tavani, M., Tavecchio, F., Tavernet, J. -P., Tayabaly, K., Tejedor, L. A., Temme, F., Temnikov, P., Terada, Y., Terrazas, J. C., Terrier, R., Terront, D., Terzic, T., Tescaro, D., Teshima, M., Testa, V., Thoudam, S., Tian, W., Tibaldo, L., Tiengo, A., Tiziani, D., Tluczykont, M., Peixoto, C. J. Todero, Tokanai, F., Tokarz, M., Toma, K., Tomastik, J., Tonachini, A., Tonev, D., Tornikoski, M., Torres, D. F., Torresi, E., Tosti, G., Totani, T., Tothill, N., Toussenel, F., Tovmassian, G., Trakarnsirinont, N., Travnicek, P., Trichard, C., Trifoglio, M., Pujadas, I. Troyano, Tsirou, M., Tsujimoto, S., Tsuru, T., Uchiyama, Y., Umana, G., Uslenghi, M., Vagelli, V., Vagnetti, F., Valentino, M., Vallania, P., Valore, L., Berg, A. M. Van den, van Driel, W., van Eldik, C., van Soelen, B., Vandenbroucke, J., Vanderwalt, J., Varner, G. S., Vasileiadis, G., Vassiliev, V., Vázquez, J. R., Acosta, M. Vázquez, Vecchi, M., Vega, A., Veitch, P., Venault, P., Venter, C., Vercellone, S., Veres, P., Vergani, S., Verzi, V., Vettolani, G. P., Veyssiere, C., Viana, A., Vicha, J., Vigorito, C., Villanueva, J., Vincent, P., Vink, J., Visconti, F., Vittorini, V., Voelk, H., Voisin, V., Vollhardt, A., Vorobiov, S., Vovk, I., Vrastil, M., Vuillaume, T., Wagner, S. J., Wagner, R., Wagner, P., Wakely, S. P., Walstra, T., Walter, R., Ward, M., Ward, J. E., Warren, D., Watson, J. J., Webb, N., Wegner, P., Weiner, O., Weinstein, A., Weniger, C., Werner, F., Wetteskind, H., White, M., White, R., Wierzcholska, A., Wiesand, S., Wijers, R., Wilcox, P., Wilhelm, A., Wilkinson, M., Will, M., Williams, D. A., Winter, M., Wojcik, P., Wolf, D., Wood, M., Wörnlein, A., Wu, T., Yadav, K. K., Yaguna, C., Yamamoto, T., Yamamoto, H., Yamane, N., Yamazaki, R., Yanagita, S., Yang, L., Yelos, D., Yoshida, T., Yoshida, M., Yoshiike, S., Yoshikoshi, T., Yu, P., Zaborov, D., Zacharias, M., Zaharijas, G., Zajczyk, A., Zampieri, L., Zandanel, F., Zanin, R., Sanchez, R. Zanmar, Zaric, D., Zavrtanik, M., Zavrtanik, D., Zdziarski, A. A., Zech, A., Zechlin, H., Zhdanov, V. I., Ziegler, A., Ziemann, J., Ziętara, K., Zink, A., Ziółkowski, J., Zitelli, V., Zoli, A., and Zorn, J.
Abstract: List of contributions from the Cherenkov Telescope Array Consortium presented at the 35th International Cosmic Ray Conference, July 12-20 2017, Busan, Korea., Comment: Index of Cherenkov Telescope Array conference proceedings at the ICRC2017, Busan, Korea
Published: 2017

46. Financial Services for a Sustainable Rural Livelihood: Strategies, lessons learned and policy for the years 2011 - 2015

Author: Bruno Molijn, Bruno Molijn, Bruno Molijn, and Bruno Molijn
Abstract: Contributing to a financial sector that offers poor people access to financial services is an important condition for realising more investments by and for the groups with which Oxfam Novib works. Since 1995, microfinance has been an important element of Oxfam Novib's programme, in different areas and with different tools. Grants, loans, guarantees and investments in equity have been used to build microfinance organisations (MFIs), and grants have been provided to other parts of the microfinance sector, such as MFI networks.This policy paper analyses recent experience in the sector and includes an account of the size of microfinance work in Oxfam Novib. A survey chapter, based on work done by MicroNed in co-operation with Triodos-Facet, reviews future scenarios for the sector, and a major section outlines Oxfam Novib's future policy framework for the role of microfinance in its rural development programmes. Among other topics this reviews the place of micro-banking, asset management, micro-insurance, microcredit, and developing financial services in rural development work.
Published: 2010

47. Financial Services for a Sustainable Rural Livelihood: Strategies, lessons learned and policy for the years 2011 - 2015

Author: Bruno Molijn, Bruno Molijn, Bruno Molijn, and Bruno Molijn
Abstract: Contributing to a financial sector that offers poor people access to financial services is an important condition for realising more investments by and for the groups with which Oxfam Novib works. Since 1995, microfinance has been an important element of Oxfam Novib's programme, in different areas and with different tools. Grants, loans, guarantees and investments in equity have been used to build microfinance organisations (MFIs), and grants have been provided to other parts of the microfinance sector, such as MFI networks.This policy paper analyses recent experience in the sector and includes an account of the size of microfinance work in Oxfam Novib. A survey chapter, based on work done by MicroNed in co-operation with Triodos-Facet, reviews future scenarios for the sector, and a major section outlines Oxfam Novib's future policy framework for the role of microfinance in its rural development programmes. Among other topics this reviews the place of micro-banking, asset management, micro-insurance, microcredit, and developing financial services in rural development work.
Published: 2010

48. Financial Services for a Sustainable Rural Livelihood: Strategies, lessons learned and policy for the years 2011 - 2015

Author: Bruno Molijn, Bruno Molijn, Bruno Molijn, and Bruno Molijn
Abstract: Contributing to a financial sector that offers poor people access to financial services is an important condition for realising more investments by and for the groups with which Oxfam Novib works. Since 1995, microfinance has been an important element of Oxfam Novib's programme, in different areas and with different tools. Grants, loans, guarantees and investments in equity have been used to build microfinance organisations (MFIs), and grants have been provided to other parts of the microfinance sector, such as MFI networks.This policy paper analyses recent experience in the sector and includes an account of the size of microfinance work in Oxfam Novib. A survey chapter, based on work done by MicroNed in co-operation with Triodos-Facet, reviews future scenarios for the sector, and a major section outlines Oxfam Novib's future policy framework for the role of microfinance in its rural development programmes. Among other topics this reviews the place of micro-banking, asset management, micro-insurance, microcredit, and developing financial services in rural development work.
Published: 2010

49. Human papillomavirus prevalence and type-distribution in cervical glandular neoplasias:Results from a European multinational epidemiological study

Author: Holl, Katsiaryna, Nowakowski, Andrzej M, Powell, Ned, McCluggage, W Glenn, Pirog, Edyta C, Collas De Souza, Sabrina, Tjalma, Wiebren A, Rosenlund, Mats, Fiander, Alison, Castro Sánchez, Maria, Damaskou, Vasileia, Joura, Elmar A, Kirschner, Benny, Koiss, Robert, O'Leary, John, Quint, Wim, Reich, Olaf, Torné, Aureli, Wells, Michael, Rob, Lukas, Kolomiets, Larisa, Molijn, Anco, Savicheva, Alevtina, Shipitsyna, Elena, Rosillon, Dominique, Jenkins, David, Holl, Katsiaryna, Nowakowski, Andrzej M, Powell, Ned, McCluggage, W Glenn, Pirog, Edyta C, Collas De Souza, Sabrina, Tjalma, Wiebren A, Rosenlund, Mats, Fiander, Alison, Castro Sánchez, Maria, Damaskou, Vasileia, Joura, Elmar A, Kirschner, Benny, Koiss, Robert, O'Leary, John, Quint, Wim, Reich, Olaf, Torné, Aureli, Wells, Michael, Rob, Lukas, Kolomiets, Larisa, Molijn, Anco, Savicheva, Alevtina, Shipitsyna, Elena, Rosillon, Dominique, and Jenkins, David
Abstract: Cervical glandular neoplasias (CGN) present a challenge for cervical cancer prevention due to their complex histopathology and difficulties in detecting preinvasive stages with current screening practices. Reports of human papillomavirus (HPV) prevalence and type-distribution in CGN vary, providing uncertain evidence to support prophylactic vaccination and HPV screening. This study [108288/108290] assessed HPV prevalence and type-distribution in women diagnosed with cervical adenocarcinoma in situ (AIS, N = 49), adenosquamous carcinoma (ASC, N = 104), and various adenocarcinoma subtypes (ADC, N = 461) from 17 European countries, using centralised pathology review and sensitive HPV testing. The highest HPV-positivity rates were observed in AIS (93.9%), ASC (85.6%), and usual-type ADC (90.4%), with much lower rates in rarer ADC subtypes (clear-cell: 27.6%; serous: 30.4%; endometrioid: 12.9%; gastric-type: 0%). The most common HPV types were restricted to HPV16/18/45, accounting for 98.3% of all HPV-positive ADC. There were variations in HPV prevalence and ADC type-distribution by country. Age at diagnosis differed by ADC subtype, with usual-type diagnosed in younger women (median: 43 years) compared to rarer subtypes (medians between 57 and 66 years). Moreover, HPV-positive ADC cases were younger than HPV-negative ADC. The six years difference in median age for women with AIS compared to those with usual-type ADC suggests that cytological screening for AIS may be suboptimal. Since the great majority of CGN are HPV16/18/45-positive, the incorporation of prophylactic vaccination and HPV testing in cervical cancer screening are important prevention strategies. Our results suggest that special attention should be given to certain rarer ADC subtypes as most appear to be unrelated to HPV., Cervical glandular neoplasias (CGN) present a challenge for cervical cancer prevention due to their complex histopathology and difficulties in detecting preinvasive stages with current screening practices. Reports of human papillomavirus (HPV) prevalence and type-distribution in CGN vary, providing uncertain evidence to support prophylactic vaccination and HPV screening. This study [108288/108290] assessed HPV prevalence and type-distribution in women diagnosed with cervical adenocarcinoma in situ (AIS, N = 49), adenosquamous carcinoma (ASC, N = 104), and various adenocarcinoma subtypes (ADC, N = 461) from 17 European countries, using centralised pathology review and sensitive HPV testing. The highest HPV-positivity rates were observed in AIS (93.9%), ASC (85.6%), and usual-type ADC (90.4%), with much lower rates in rarer ADC subtypes (clear-cell: 27.6%; serous: 30.4%; endometrioid: 12.9%; gastric-type: 0%). The most common HPV types were restricted to HPV16/18/45, accounting for 98.3% of all HPV-positive ADC. There were variations in HPV prevalence and ADC type-distribution by country. Age at diagnosis differed by ADC subtype, with usual-type diagnosed in younger women (median: 43 years) compared to rarer subtypes (medians between 57 and 66 years). Moreover, HPV-positive ADC cases were younger than HPV-negative ADC. The six years difference in median age for women with AIS compared to those with usual-type ADC suggests that cytological screening for AIS may be suboptimal. Since the great majority of CGN are HPV16/18/45-positive, the incorporation of prophylactic vaccination and HPV testing in cervical cancer screening are important prevention strategies. Our results suggest that special attention should be given to certain rarer ADC subtypes as most appear to be unrelated to HPV.
Published: 2015

50. Integration of Multispectral and C-Band SAR Data for Crop Classification

Author: Iannini, L. (author), Molijn, R.A. (author), Hanssen, R.F. (author), Iannini, L. (author), Molijn, R.A. (author), and Hanssen, R.F. (author)
Abstract: The paper debates the impact of sensor configuration diversity on the crop classification performance. More specifically, the analysis accounts for multi-temporal and polarimetric C-Band SAR information used individually and in synergy with Multispectral imagery. The dataset used for the investigation comprises several multi-angle Radarsat-2 (RS2) fullpol acquisitions and RapidEye (RE) images both at fine resolution collected over the Indian Head (Canada) agricultural site area and spanning the summer crop growth cycle from May to September. A quasi-Maximum Likelihood (ML) classification approach applied at per-field level has been adopted to integrate the different data sources. The analysis provided evidence on the overall accuracy enhancement with respect to the individual sensor performances, with 4%-8% increase over a single RE image, a 40%-10% increase over a single 1-pol/full-pol image and 15%-0% increase over multitemporal 1-pol/full-pol RS2 series respectively. A more detailed crop analysis revealed that in particular canola and the cereals benefit from the integration, whereas lentil and flax can experience similar or worse performance when compared to the RE-based classification. Comments and suggestions for further development are presented., Geoscience & Remote Sensing, Civil Engineering and Geosciences
Published: 2013
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