Evaluation of the Job Outcome Target Pilots: findings from the qualitative study

This report presents the results of a qualitative evaluation of the pilot of the Job Outcome Target (JOT) in seven Jobcentre Plus Districts, covering the first six months of the pilot's operation from January to July 2005. The research comprised interviews and focus groups with Jobcentre Plus managers and staff, employers, providers and customers in the JOT pilot districts in three stages, beginning one month before the start of the pilots. The evaluators' conclusion is that the qualitative evidence supports the view that JOT is a feasible alternative approach to the Job Entry Target (JET) as a system for performance measurement and management for Jobcentre Plus. Many of the desired behavioural changes among Jobcentre Plus staff were observed, including greater team working, an enhanced focus on the quality rather than quantity of interventions with customers and encouragement of appropriate customers to use self-help channels. In addition, JOT led almost immediately to the reduction or discontinuation of activities that were felt to be wasteful of resources under JET, notably the extensive use of the Adviser Discretion Fund and speculative submissions to ensure that job entries are validated. No evidence was found of negative impacts of JOT on customers, providers or employers, a finding corroborated by quantitative analysis. The report suggests that, should JOT be rolled out nationally, a programme of communication, training and support, building on the lessons of the pilot, would be necessary in order to ensure that behavioural changes associated with JOT develop into more deep-seated cultural change within Jobcentre Plus

Deep Projective 3D Semantic Segmentation

Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so far. Recent attempts, based on 3D deep learning approaches (3D-CNNs), have achieved below-expected results. Such methods require voxelizations of the underlying point cloud data, leading to decreased spatial resolution and increased memory consumption. Additionally, 3D-CNNs greatly suffer from the limited availability of annotated datasets. In this paper, we propose an alternative framework that avoids the limitations of 3D-CNNs. Instead of directly solving the problem in 3D, we first project the point cloud onto a set of synthetic 2D-images. These images are then used as input to a 2D-CNN, designed for semantic segmentation. Finally, the obtained prediction scores are re-projected to the point cloud to obtain the segmentation results. We further investigate the impact of multiple modalities, such as color, depth and surface normals, in a multi-stream network architecture. Experiments are performed on the recent Semantic3D dataset. Our approach sets a new state-of-the-art by achieving a relative gain of 7.9 %, compared to the previous best approach.Comment: Submitted to CAIP 201

Short-time photodissociation dynamics of A-band and B-band bromoiodomethane in solution: An examination of bond selective electronic excitation

We have obtained resonance, Raman spectra and absolute Raman cross section measurements at eight excitation wavelengths in the A-band and B-band absorptions of bromoiodomethane in cyclohexane solution. The resonance Raman intensities and absorption spectra were simulated using a simple model and time-dependent wave packet calculations. Normal mode vibrational descriptions were used with.the results of the calculations to find the short-time photodissociation dynamics in terms of internal coordinates. The A-band short-time photodissociation dynamics indicate that the C-I bond becomes much longer, the C-Br bond becomes smaller, the I-C-Br angle becomes smaller, the H-C-Br angles become larger, the H-C-I angles become smaller, and the H-C-H angle becomes a bit smaller. The B-band short-time photodissociation dynamics indicate the C-Br bond becomes much longer, the C-I bond becomes slightly longer, the I-C-Br angle becomes smaller, the H-C-I angles become larger, the H-C-Br angles become smaller, and the H-C-H angle becomes slightly smaller. Both the A-band and B-band short-time photodissociation dynamics appear to be most consistent with an impulsive "semi-rigid" radical model qualitative description of the photodissociation with the CH 2Br radical changing to a more planar structure in the A-band and the CH 2I radical changing to a more planar structure in the B band. We have carried out a Gaussian deconvolution of the A-band and B-band absorption spectra of bromoiodomethane, as well as iodomethane and bromomethane. The absorption spectra, resonance Raman intensities, and short-time photodissociation dynamics sueeest a moderate amount of coupling of the C-I and C-Br chromophores. © 1996 American Institute of Physics.published_or_final_versio

Prevalence of Avian-Pathogenic Escherichia coli Strain O1 Genomic Islands among Extraintestinal and Commensal E. coli Isolates

Escherichia coli strains that cause disease outside the intestine are known as extraintestinal pathogenic E. coli (ExPEC) and include pathogens of humans and animals. Previously, the genome of avian-pathogenic E. coli (APEC) O1:K1:H7 strain O1, from ST95, was sequenced and compared to those of several other E. coli strains, identifying 43 genomic islands. Here, the genomic islands of APEC O1 were compared to those of other sequenced E. coli strains, and the distribution of 81 genes belonging to 12 APEC O1 genomic islands among 828 human and avian ExPEC and commensal E. coli isolates was determined. Multiple islands were highly prevalent among isolates belonging to the O1 and O18 serogroups within phylogenetic group B2, which are implicated in human neonatal meningitis. Because of the extensive genomic similarities between APEC O1 and other human ExPEC strains belonging to the ST95 phylogenetic lineage, its ability to cause disease in a rat model of sepsis and meningitis was assessed. Unlike other ST95 lineage strains, APEC O1 was unable to cause bacteremia or meningitis in the neonatal rat model and was significantly less virulent than uropathogenic E. coli (UPEC) CFT073 in a mouse sepsis model, despite carrying multiple neonatal meningitis E. coli (NMEC) virulence factors and belonging to the ST95 phylogenetic lineage. These results suggest that host adaptation or genome modifications have occurred either in APEC O1 or in highly virulent ExPEC isolates, resulting in differences in pathogenicity. Overall, the genomic islands examined provide targets for further discrimination of the different ExPEC subpathotypes, serogroups, phylogenetic types, and sequence types

Effects of halothane on the electroencephalogram of the chicken

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The use of metabonomics to uncover differences between the small molecule profiles of eggs from cage and barn housing systems

Metabonomic techniques have been used to observe differences in the small molecule profiles of chicken eggs, to work towards the detection, and thus prevention, of fraud regarding the misrepresentation of egg farming systems. High Performance Liquid Chromatography-Quadrupole-Time-of-Flight-Mass Spectrometry (HPLC-Q-ToF-MS) was used to obtain profiles of the small molecules found in the yolks of eggs that were laid by hens in enriched cage systems, and in barn systems. Statistical analysis of these small molecule profiles, including the use of XCMS Online and multivariate statistics, was able to uncover differences between the yolks of cage and barn eggs. Several unidentified compounds were found to be present in significantly different abundances between cage and barn egg yolks and one of these compounds was tentatively identified, through the use of METLIN, as 1,2-dipalmitoyl-glycero-3-phosphocholine