A review of interventions to support young workers : findings of the youth employment inventory

This Youth Employment Inventory (YEI) is based on available documentation of current and past programs and includes evidence from 289 studies of interventions from 84 countries in all regions of the world. The interventions included in the YEI have been analyzed in order to (i) document the types of programs that have been implemented to support young workers to find work; and (ii) identify what appears to work in terms of improving employment outcomes for youth. This report synthesizes the information from this inventory and a set of background reports to document the global experience with youth employment programs. As background, Section B provides a brief summary of the situation of young people in labor markets world-wide, and also reviews the existing literature on policies to address youth employment problems. Following this, we turn to the underlying framework and methodology used to assemble the youth employment inventory in Section C. In Section D, we consider the coverage of the YEI, which represents the sample of youth programs identified in our global search of the available documentation. In addressing the question of"what works", it is critical to pay close attention to the quality of the evaluation evidence. This is discussed in Section E. The study then turns to the analysis of the effectiveness of the interventions included in the inventory. The descriptive evidence is presented in Section F. In addition, the study undertakes an econometric meta-analysis to more systematically identify the determinants of program success and the results of this analysis are presented in Section G. Finally, conclusions and implications are drawn in Section H.Labor Markets,Labor Policies,Youth and Governance,,Adolescent Health

pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems

pandapower is a Python based, BSD-licensed power system analysis tool aimed at automation of static and quasi-static analysis and optimization of balanced power systems. It provides power flow, optimal power flow, state estimation, topological graph searches and short circuit calculations according to IEC 60909. pandapower includes a Newton-Raphson power flow solver formerly based on PYPOWER, which has been accelerated with just-in-time compilation. Additional enhancements to the solver include the capability to model constant current loads, grids with multiple reference nodes and a connectivity check. The pandapower network model is based on electric elements, such as lines, two and three-winding transformers or ideal switches. All elements can be defined with nameplate parameters and are internally processed with equivalent circuit models, which have been validated against industry standard software tools. The tabular data structure used to define networks is based on the Python library pandas, which allows comfortable handling of input and output parameters. The implementation in Python makes pandapower easy to use and allows comfortable extension with third-party libraries. pandapower has been successfully applied in several grid studies as well as for educational purposes. A comprehensive, publicly available case-study demonstrates a possible application of pandapower in an automated time series calculation

Time pressure predicts decisional regret in men with localized prostate cancer: data from a longitudinal multicenter study

Purpose: A substantial proportion of men with localized prostate cancer (lPCa) later regret their treatment decision. We aimed to identify factors contributing to decisional regret. Methods: We conducted a longitudinal study, in which men with lPCa were surveyed at four measurement points: T0 (baseline) = prior to treatment; T1 = 6; T2 = 12; T3 = 18 months after baseline. chi(2)-tests and independent t-tests were used to compare men undergoing different treatments [Active Surveillance (AS) vs. local treatment]. Logistic regression models were fitted to investigate the associations between predictors (time pressure, information provided by the urologist, impairment of erectile functioning, satisfaction with sexual life) and the criterion decisional regret. Results: At baseline, the sample included N = 176 men (AS: n = 100; local treatment: n = 76). At T2 and T3, men after local therapies reported higher regret than men under AS. Decisional regret at T3 was predicted by time pressure at baseline (OR 2.28; CI 1.04-4.99; p < 0.05), erectile dysfunction at T2 and T3 (OR 3.40; CI 1.56-7.42; p < 0.01), and satisfaction with sexual life at T1-T3 (OR 0.44; CI 0.20-0.96; p < 0.05). Conclusions: Time pressure, erectile dysfunction, and satisfaction with sexual life predict decisional regret in men with lPCa. Mitigating time pressure and realistic expectations concerning treatment side effects may help to prevent decisional regret in PCa survivors

High Dual Expression of the Biomarkers CD44v6/α2β1 and CD44v6/PD-L1 Indicate Early Recurrence after Colorectal Hepatic Metastasectomy

Considering the biology of CRC, distant metastases might support the identification of high-risk patients for early recurrence and targeted therapy. Expression of a panel of druggable, metastasis-related biomarkers was immunohistochemically analyzed in 53 liver (LM) and 15 lung metastases (LuM) and correlated with survival. Differential expression between LM and LuM was observed for the growth factor receptors IGF1R (LuM 92.3% vs. LM 75.8%, p = 0.013), EGFR (LuM 68% vs. LM 41.5%, p = 0.004), the cell adhesion molecules CD44v6 (LuM 55.7% vs. LM 34.9%, p = 0.019) and α2β1 (LuM 88.3% vs. LM 58.5%, p = 0.001) and the check point molecule PD-L1 (LuM 6.1% vs. LM 3.3%, p = 0.005). Contrary, expression of HGFR, Hsp90, Muc1, Her2/neu, ERα and PR was comparable in LuM and LM. In the LM cohort (n = 52), a high CD44v6 expression was identified as an independent factor of poor prognosis (PFS: HR 2.37, 95% CI 1.18–4.78, p = 0.016). High co-expression of CD44v6/α2β1 (HR 4.14, 95% CI 1.65–10.38, p = 0.002) and CD44v6/PD-L1 (HR 2.88, 95% CI 1.21–6.85, p = 0.017) indicated early recurrence after hepatectomy, in a substantial number of patients (CD44v6/α2β1: 11 (21.15%) patients; CD44v6/PD-L1: 12 (23.1%) patients). Dual expression of druggable protein biomarkers may refine prognostic prediction and stratify high-risk patients for new therapeutic concepts, depending on the metastatic location

AIDE-MOI: aktiv, selbstständig und sicher auch im Alter

Seniorinnen und Senioren möchten so lange wie möglich in ihrer gewohnten häuslichen Umgebung leben. Dabei ist für sie die grösstmögliche Selbstständigkeit wichtig. Es gilt also Hilfestellungen anzubieten, welche diese Ziele unterstützen und das Sicherheitsgefühl im Alter fördern. Welchen Beitrag kann hier die Elektronik bieten? Das interdisziplinäre Projekt AIDEMOI des Fachbereichs Gesundheit und des HuCE der Berner Fachhochschule hat diese Herausforderung angenommen

Intrinsic shape analysis in archaeology: A case study on ancient sundials

This paper explores a novel mathematical approach to extract archaeological insights from ensembles of similar artifact shapes. We show that by considering all the shape information in a find collection, it is possible to identify shape patterns that would be difficult to discern by considering the artifacts individually or by classifying shapes into predefined archaeological types and analyzing the associated distinguishing characteristics. Recently, series of high-resolution digital representations of artifacts have become available, and we explore their potential on a set of 3D models of ancient Greek and Roman sundials, with the aim of providing alternatives to the traditional archaeological method of ``trend extraction by ordination'' (typology). In the proposed approach, each 3D shape is represented as a point in a shape space -- a high-dimensional, curved, non-Euclidean space. By performing regression in shape space, we find that for Roman sundials, the bend of the sundials' shadow-receiving surface changes with the location's latitude. This suggests that, apart from the inscribed hour lines, also a sundial's shape was adjusted to the place of installation. As an example of more advanced inference, we use the identified trend to infer the latitude at which a sundial, whose installation location is unknown, was placed. We also derive a novel method for differentiated morphological trend assertion, building upon and extending the theory of geometric statistics and shape analysis. Specifically, we present a regression-based method for statistical normalization of shapes that serves as a means of disentangling parameter-dependent effects (trends) and unexplained variability.Comment: accepted for publication from the ACM Journal on Computing and Cultural Heritag