Hooiwagenwaarnemingen uit Zeeuwse akkerranden

Hooiwagen gegevens voor Nederland zijn vrij schaars en Zeeland is een van de provincies met de minste waarnemingen. De auteurs (o.a. vanuit CML) hebben in 2006 en 2007 via bodemvalmonsters waarnemingen verricht bij Zeeuwse akkerranden. Het aantal waarnemingen kon voor Zeeland verviervoudigd worden. Er werden 10 soorten aangetroffen, waarvan vier nieuw voor de provinci

Tracklet-based vessel re-identification for multicamera vessel-speed enforcement

In crowded waterways, maritime traffic is bound to speed regulations for safety reasons. Although several speed measurement techniques exist for road traffic, such systems are not available for vessels. This paper proposes a new approach for tracklet-based re-identification (re-ID) as a solution for vessel-speed enforcement. For evaluation, the Vessel-reID dataset is used that we introduced in previous work [2]. The core of the tracklet re-ID approach is based on a novelTracklet-based Querying Procedure as a more effective alternative to the Common Querying Procedure (CQP) found in popular re-ID datasets [7, 8]. The existing procedure randomly selects a single image from the whole query-vesseltrajectory (in one camera view). This is improved by (1) detecting a set of most representative images per tracklet of a query-vessel, and by (2) raising the matching accuracy based on accumulating the gallery similarity scores for all imagesin the set. In the experimental validation, we adopt two well-known person reID algorithms, TriNet [3] and MGN [6], since most re-ID literature focuses on person re-ID. Results show a significant increase in performance by applying thetracklet-based approach instead of CQP: a gain of 5.6% and 8.1% Rank-1 for MGN and TriNet, respectively

Tracklet-based vessel re-identification for multicamera vessel-speed enforcement

In crowded waterways, maritime traffic is bound to speed regulations for safety reasons. Although several speed measurement techniques exist for road traffic, such systems are not available for vessels. This paper proposes a new approach for tracklet-based re-identification (re-ID) as a solution for vessel-speed enforcement. For evaluation, the Vessel-reID dataset is used that we introduced in previous work [2]. The core of the tracklet re-ID approach is based on a novelTracklet-based Querying Procedure as a more effective alternative to the Common Querying Procedure (CQP) found in popular re-ID datasets [7, 8]. The existing procedure randomly selects a single image from the whole query-vesseltrajectory (in one camera view). This is improved by (1) detecting a set of most representative images per tracklet of a query-vessel, and by (2) raising the matching accuracy based on accumulating the gallery similarity scores for all imagesin the set. In the experimental validation, we adopt two well-known person reID algorithms, TriNet [3] and MGN [6], since most re-ID literature focuses on person re-ID. Results show a significant increase in performance by applying thetracklet-based approach instead of CQP: a gain of 5.6% and 8.1% Rank-1 for MGN and TriNet, respectively

Photonic band structure of highly deformable, self-assembling systems

We calculate the photonic band structure at normal incidence of highly deformable, self-assembling systems - cholesteric elastomers subjected to external stress. Cholesterics display brilliant reflection and lasing owing to gaps in their photonic band structure. The band structure of cholesteric elastomers varies sensitively with strain, showing new gaps opening up and shifting in frequency. A novel prediction of a total band gap is made, and is expected to occur in the vicinity of the previously observed de Vries bandgap, which is only for one polarisation

The Work Profiler: revision and maintenance of a profiling tool for the recently unemployed in the Netherlands

Multivariate analysis of psychological dat

Comparative genomic hybridization of cancer of the gastroesophageal junction: deletion of 14Q31-32.1 discriminates between esophageal (Barrett's) and gastric cardia adenocarcinomas

Incidence rates have risen rapidly for esophageal and gastric cardia adenocarcinomas. These cancers, arising at and around the gastroesophageal junction (GEJ), share a poor prognosis. In contrast, there is no consensus with respect to clinical staging resulting in possible adverse effects on treatment and survival. The goal of this study was to provide more insight into the genetic changes underlying esophageal and gastric cardia adenocarcinomas. We have used comparative genomic hybridization for a genetic analysis of 28 adenocarcinomas of the GEJ. Eleven tumors were localized in the distal esophagus and related to Barrett's esophagus, and 10 tumors were situated in the gastric cardia. The remaining seven tumors were located at the junction and could not be classified as either Barrett-related, or gastric cardia. We found alterations in all 28 neoplasms. Gains and losses were distinguished in comparable numbers. Frequent loss (> or = 25% of all tumors) was detected, in decreasing order of frequency, on 4pq (54%), 14q (46%), 18q (43%), 5q (36%), 16q (36%), 9p (29%), 17p (29%), and 21q (29%). Frequent gain (> or = 25% of all tumors) was observed, in decreasing order of frequency, on 20pq (86%), 8q (79%), 7p (61%), 13q (46%), 12q (39%), 15q (39%), 1q (36%), 3q (32%), 5p (32%), 6p (32%), 19q (32%), Xpq (32%), 17q (29%), and 18p (25%). Nearly all patients were male, and loss of chromosome Y was frequently noted (64%). Recurrent high-level amplifications (> 10% of all tumors) were seen at 8q23-24.1, 15q25, 17q12-21, and 19q13.1. Minimal overlapping regions could be determined at multiple locations (candidate genes are in parentheses): minimal regions of overlap for deletions were assigned to 3p14 (FHIT, RCA1), 5q14-21 (APC, MCC), 9p21 (MTS1/CDKN2), 14q31-32.1 (TSHR), 16q23, 18q21 (DCC, P15) and 21q21. Minimal overlapping amplified sites could be seen at 5p14 (MLVI2), 6p12-21.1 (NRASL3), 7p12 (EGFR), 8q23-24.1 (MYC), 12q21.1, 15q25 (IGF1R), 17q12-21 (ERBB2/HER2-neu), 19q13.1 (TGFB1, BCL3, AKT2), 20p12 (PCNA), 20q12-13 (MYBL2, PTPN1), and Xq25. The distribution of the imbalances revealed similar genetic patterns in the three GEJ tumor groups. However, loss of 14q31-32.1 occurred significantly more frequent in Barrett-related adenocarcinomas of the distal esophagus, than in gastric cardia cancers (P = 0.02). The unclassified, "pure junction" group displayed an intermediate position, suggesting that these may be in part gastric cardia tumors, whereas the others may be related to (short-segment) Barrett's esophagus. In conclusion, this study has, fist, provided a detailed comparative genomic hybridization-map of GEJ adenocarcinomas documenting new genetic changes, as well as candidate genes involved. Second, genetic divergence was revealed in this poorly understood group of cancers