The Effect of Propeller Pitch on Ship Propulsion

The appropriate choice of a marine engine identified by using self-propulsion model tests is compulsory, in particular with respect to the improvement of vessel performances. Numerical simulations or experimental methods provide insight into the problem of flow, where fixed pitch propellers or controllable pitch propellers are preferred. While calculation methods are time consuming and computationally demanding for both propeller types, hydrodynamic performance assessment has more workload in controllable pitch propellers. This paper aims to describe and demonstrate the practicability and effectiveness of the self-propulsion estimation (SPE) method in understanding the effect of propeller pitch on ship propulsion. Technically, the hydrostatic and geometric characteristics of the vessel and open-water propeller performances are the focal aspects that affect the self-propulsion parameters estimated by the SPE method. The input coefficients for SPE have been identified using a code that generates propeller open-water performance curves. The propellers utilized to study pitch variations have been based on the Wageningen B-series propeller database. The method was first validated on the full size Seiun Maru ship whose sea trial tests are available in literature. After extensive calculations for full size KCS and DTC at service speeds, the study focused on the effect of the Froude number on propulsion parameters. These calculations have demonstrated that greater propeller pitch does not improve propulsion efficiency, and that maximum propeller efficiency changes with a ship\u27s forward speed

Predictive Analytics im Human Capital Management : Status Quo und Potentiale

First Online: 23 December 2015 Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)Unternehmen verfügen mittlerweile über fortgeschrittene analytische Informationssysteme, die es erlauben die wachsenden Datenmengen nahezu automatisiert auszuwerten und Aussagen über zukünftige Entwicklungen zu treffen. Predictive Analytics befinden sie sich im Human Capital Management noch in den Anfängen. Datengetriebene Unternehmen wie Google oder Hewlett-Packard nutzen Predictive Analytics bereits, um Personalbeschaffung und -erhaltung zu verbessern. Obwohl jedoch die Personalbereiche über umfangreiche Daten verfügen, beschränkt sich deren Nutzung nach unserer Erfahrung und einer von uns durchgeführten Befragung in den meisten Fällen immer noch auf reaktives Excel-Reporting und einfachste Prognosen z. B. zur Personalanzahl. Data Mining-Verfahren werden hingegen selten genutzt, obwohl sich daraus für das Human Capital Management und andere Unternehmensbereiche Vorteile ergeben könnten. In diesem Beitrag stellen wir anhand von Praxisbeispielen und ausgewählter Fachliteratur Potentiale von Predictive Analytics im Human Capital Management vor, untersuchen die Verbreitung sowie die Einsatzmöglichkeiten von personalbezogenen Analysen und gehen auch auf die spezifischen Herausforderungen der Nutzung von Personaldaten ein

How teachers' practices and students' attitudes towards technology affect mathematics achievement: results and insights from PISA 2012

The present work seeks to deepen the impact of factors linked to the characteristics of teaching practices and students' attitudes towards the use of technology on their performance in mathematics in the process of teaching-learning in the Spanish context. In this sense, this study is a secondary analysis of the PISA 2012 data. Therefore, it is an ex post facto design. Regarding the attitudes and the contextual variables, the results do coincide with the accumulated evidence. However, once these contextual effects have been controlled for, the negative relationship found between the pedagogic strategies used by the teachers and the mathematics score cannot but convey perplexity, since the results relative to student-oriented, formative assessment and teacher-directed instruction are clearly contradictory to the solid previous evidence. The data do not allow us to explain this paradoxical result. We dare to point to a conjecture that we find plausible. All these complex variables are informed through questionnaires responded to by students and require a great degree of inference in the answers. Future studies must consider the complexity of the measured variables as well as the students' perception and understanding of them

Urinary volatile organic compounds for the detection of prostate cancer

© 2015 Khalid et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The aim of this work was to investigate volatile organic compounds (VOCs) emanating from urine samples to determine whether they can be used to classify samples into those from prostate cancer and non-cancer groups. Participants were men referred for a trans-rectal ultrasound-guided prostate biopsy because of an elevated prostate specific antigen (PSA) level or abnormal findings on digital rectal examination. Urine samples were collected from patients with prostate cancer (n = 59) and cancer-free controls (n = 43), on the day of their biopsy, prior to their procedure. VOCs from the headspace of basified urine samples were extracted using solid-phase micro-extraction and analysed by gas chromatography/mass spectrometry. Classifiers were developed using Random Forest (RF) and Linear Discriminant Analysis (LDA) classification techniques. PSA alone had an accuracy of 62-64% in these samples. A model based on 4 VOCs, 2,6-dimethyl-7-octen-2-ol, pentanal, 3-octanone, and 2-octanone, was marginally more accurate 63-65%. When combined, PSA level and these four VOCs had mean accuracies of 74% and 65%, using RF and LDA, respectively. With repeated double cross-validation, the mean accuracies fell to 71% and 65%, using RF and LDA, respectively. Results from VOC profiling of urine headspace are encouraging and suggest that there are other metabolomic avenues worth exploring which could help improve the stratification of men at risk of prostate cancer. This study also adds to our knowledge on the profile of compounds found in basified urine, from controls and cancer patients, which is useful information for future studies comparing the urine from patients with other disease states

Dynamic temporary blood facility location-allocation during and post-disaster periods

The key objective of this study is to develop a tool (hybridization or integration of different techniques) for locating the temporary blood banks during and post-disaster conditions that could serve the hospitals with minimum response time. We have used temporary blood centers, which must be located in such a way that it is able to serve the demand of hospitals in nearby region within a shorter duration. We are locating the temporary blood centres for which we are minimizing the maximum distance with hospitals. We have used Tabu search heuristic method to calculate the optimal number of temporary blood centres considering cost components. In addition, we employ Bayesian belief network to prioritize the factors for locating the temporary blood facilities. Workability of our model and methodology is illustrated using a case study including blood centres and hospitals surrounding Jamshedpur city. Our results shows that at-least 6 temporary blood facilities are required to satisfy the demand of blood during and post-disaster periods in Jamshedpur. The results also show that that past disaster conditions, response time and convenience for access are the most important factors for locating the temporary blood facilities during and post-disaster periods