Career-path analysis using optimal matching and self-organizing maps

This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distances well adapted to the data, but are limiting their analysis to hierarchical clustering. Other authors apply sophisticated methods, but only after paying the price of transforming the categorical data into continuous, via a factorial analysis. The latter approach has an important drawback since it makes a linear assumption on the data. We propose a new methodology, inspired from biology and adapted to career paths, combining optimal matching and self-organizing maps. A complete study on real-life data will illustrate our proposal.

Contributing factors to optimal project portfolio selection

A modified Delphi approach has been applied in this study to investigate best practice and to determine the factors that contribute to optimal selection of projects. There are various standards and practices that some may recognise as representing best practice in this area. Many of these have similar characteristics and this study has found no single best practice. The study identified the factors that contribute to the optimal selection of projects as: culture, process, knowledge of the business, knowledge of the work, education, experience, governance, risk awareness, selection of players, preconceptions, and time pressures. All these factors were found to be significant; to be appropriate to public sector organisations, private sector organisations and government owned corporations; and to have a strong linkage to research on strategic decision making. These factors can be consolidated into two underlying factors of organisation culture and leadership.

Count-min sketches for estimating password frequency within Hamming distance two

The count-min sketch is a useful data structure for recording and estimating the frequency of string occurrences, such as passwords, in sub-linear space with high accuracy. However, it cannot be used to draw conclusions on groups of strings that are similar, for example close in Hamming distance. This paper introduces a variant of the count-min sketch which allows for estimating counts within a specified Hamming distance of the queried string. This variant can be used to prevent users from choosing popular passwords, like the original sketch, but it also allows for a more efficient method of analysing password statistics.

A statistical strategy to select optimal structural health monitoring data in operational modal analysis

Operational modal analysis (OMA) is prevalent in modal identifi cation of civil structures. It asks for response measurements of the underlying structure under ambient loads. A valid OMA method requires the excitation be white noise in time and space. Although there are numerous applications of OMA in the literature, few have investigated the statistical distribution of a measurement and the infl uence of such randomness to modal identifi cation. This research has attempted modifi ed kurtosis to evaluate the statistical distribution of raw measurement data. In addition, a windowing strategy employing this index has been proposed to select quality datasets. In order to demonstrate how the data selection strategy works, the ambient vibration measurements of a laboratory bridge model and a real cable-stayed bridge have been respectively considered. The analysis incorporated with frequency domain decomposition (FDD) as the target OMA approach for modal identifi cation. The modal identifi cation results using the data segments with different randomness have been compared. The discrepancy in FDD spectra of the results indicates that, in order to fulfi l the assumption of an OMA method, special care shall be taken in processing a long vibration measurement data. The proposed data selection strategy is easy-to-apply and verifi ed effective in modal analysis.

Estimating the robustness of long-haul train plans

In Australia, and elsewhere, the movement of trains on long-haul rail networks is usually planned in advance. Typically, a train plan is developed to confirm that the required train movements and track maintenance activities can occur. The plan specifies when track segments will be occupied by particular trains and maintenance activities. On the day of operation, a train controller monitors and controls the movement of trains and maintenance crews, and updates the train plan in response to unplanned disruptions. It can be difficult to predict how good a plan will be in practice. The main performance indicator for a train service should be reliability - the proportion of trains running the service that complete at or before the scheduled time. We define the robustness of a planned train service to be the expected reliability. The robustness of individual train services and for a train plan as a whole can be estimated by simulating the train plan many times with random, but realistic, perturbations to train departure times and segment durations, and then analysing the distributions of arrival times. This process can also be used to set arrival times that will achieve a desired level of robustness for each train service.

Optimal catalyst thickness in titanium dioxide fixed film reactors: Mathematical modelling and experimental validation

The use of immobilised TiO2 for the purification of polluted water streams introduces the necessity to evaluate the effect of mechanisms such as the transport of pollutants from the bulk of the liquid to the catalyst surface and the transport phenomena inside the porous film. Experimental results of the effects of film thickness on the observed reaction rate for both liquid-side and support-side illumination are here compared with the predictions of a one-dimensional mathematical model of the porous photocatalytic slab. Good agreement was observed between the experimentally obtained photodegradation of phenol and its by-products, and the corresponding model predictions. The results have confirmed that an optimal catalyst thickness exists and, for the films employed here, is 5 μm. Furthermore, the modelling results have highlighted the fact that porosity, together with the intrinsic reaction kinetics are the parameters controlling the photocatalytic activity of the film. The former by influencing transport phenomena and light absorption characteristics, the latter by naturally dictating the rate of reaction.

A simplified approach for calculating the moments of action for linear reaction-diffusion equations

The mean action time is the mean of a probability density function that can be interpreted as a critical time, which is a finite estimate of the time taken for the transient solution of a reaction-diffusion equation to effectively reach steady state. For high-variance distributions, the mean action time under-approximates the critical time since it neglects to account for the spread about the mean. We can improve our estimate of the critical time by calculating the higher moments of the probability density function, called the moments of action, which provide additional information regarding the spread about the mean. Existing methods for calculating the nth moment of action require the solution of n nonhomogeneous boundary value problems which can be difficult and tedious to solve exactly. Here we present a simplified approach using Laplace transforms which allows us to calculate the nth moment of action without solving this family of boundary value problems and also without solving for the transient solution of the underlying reaction-diffusion problem. We demonstrate the generality of our method by calculating exact expressions for the moments of action for three problems from the biophysics literature. While the first problem we consider can be solved using existing methods, the second problem, which is readily solved using our approach, is intractable using previous techniques. The third problem illustrates how the Laplace transform approach can be used to study coupled linear reaction-diffusion equations.

Structure-preserving Runge-Kutta methods for stochastic Hamiltonian equations with additive noise

There has been considerable recent work on the development of energy conserving one-step methods that are not symplectic. Here we extend these ideas to stochastic Hamiltonian problems with additive noise and show that there are classes of Runge-Kutta methods that are very effective in preserving the expectation of the Hamiltonian, but care has to be taken in how the Wiener increments are sampled at each timestep. Some numerical simulations illustrate the performance of these methods.

Estimating the Burden of Malignant Neoplasm in Shandong Province [山东省恶性肿瘤疾病负担研究]

Objective To make a comprehensive estimation of the burden of malignant neoplasm in Shandong province by the means of disability- adjusted life year (DALY) for the first time. Methods DALYs were calculated following the procedures developed for the Global Burden of Disease (GBD) study to ensure comparability. We measured YLLs using the cancer mortality data of 19 Disease Surveillance Points (DSPs) in Shandong Province during 2000 and 2005. YLDs were estimated based on the cancer morbidity data of 6 Cancer Incidence Surveillance Points in Shandong Province in 2005. Results All cancers were responsible for 20.60 DALYs for every thousand population in Shandong Province (25.30 for men and 15.74 for women) . 94.3% of the losses were due to premature death and 5.7% to disability. 31.9% of the DALYs happened among 45~59 age group. The top 10 cancers for DALYs were lung cancer, liver cancer, stomach cancer, oesophagus cancer, colon/rectum cancer, breast cancer, leukemia, brain cancer, pancreas cancer and cervix uteri cancer in turn. The burden of major cancers such as lung cancer and liver cancer in Shandong were heavier than the global and national level. Conclusions he burden of disease of malignant neoplasm is mainly because of premature death. Lung cancer, liver cancer, stomach cancer and oesophagus cancer are the major cancers in Shandong Province and should be paid more attention to their prevention and control. Abstract in Chinese 目的 首次应用伤残调整寿命年(DALY)对山东省居民恶性肿瘤疾病负担进行综合评价. 方法 以2000-2005年山东省疾病监测系统的恶性肿瘤死亡资料和2005年山东省恶性肿瘤发病监测系统的发病资料为基础,利用世界卫生组织提供的专门公式,计算恶性肿瘤的YLLs、YLDs和DALYs,以此评价恶性肿瘤的疾病负担. 结果 山东省每千人每年因恶性肿瘤造成20.60个DALYs损失(男性25.30,女性15.74),其中,9413%为早死所致,5.7%因残疾所致:恶性肿瘤主要导致45～59岁人群的DALYs损失,占31.93%;恶性肿瘤疾病负担前10位依次为肺癌、肝癌、胃癌、食道癌、肠癌、乳腺癌、白血病、脑癌、胰腺癌和宫颈癌;山东省肺癌、肝癌等主要癌症疾病负担高于全球和全国水平. 结论 恶性肿瘤疾病负担主要由早死所致,肺癌、肝癌、胃癌和食道癌等主要癌症的防制地位十分突出.

Estimating the burden of malignant neoplasm on village residents in a mountainous area [山区农村居民恶性肿瘤疾病负担的估计]

Objective To make a comprehensive estimation of the burden of malignant neoplasm on village residents in Linqu County by the means of DALY (Disability-adjusted life year). Methods DALYs, YLLs and YLDs were calculated following the procedures developed for the Global Burden of Disease (GBD) study to ensure comparability, based on the cancer registration data of Linqu villages during 1998-2004, in order to measure the burden of various caners. Results All cancers were responsible for 20.00 DALYs for every thousand population in Linqu County (24.82 for men and 14.96 for women). 92.5% of the losses were due to premature death and 7.5% to disability. 31.5% of the DALYs happened among 45-59 age group. The top 10 cancers for DALYs were stomach cancer, lung cancer, liver cancer, oesophagus cancer, leukemia,colon/rectum cancer, brain cancer, pancreas cancer, breast cancer and bone cancer in turn. Only stomach cancer, lung cancer and liver cancer together account for 69.3% of total DALYs due to malignant neoplasm. The burden of malignant neoplasm was on rising recent years. Conclusions The burden of disease of malignant neoplasm is mainly because of premature death. Stomach cancer, lung cancer and liver cancer lead to heavier burden than the global and national levels. Abstract in Chinese 目的 应用伤残调整寿命年(DALY)对临朐县农村恶性肿瘤疾病负担进行评价. 方法 以1998～2004年临朐县农村肿瘤登记资料为基础,利用全球疾病负担研究中使用的专门公式计算恶性肿瘤的YLLs、YLDs和DALYs,以此评价各类恶性肿瘤的疾病负担. 结果 临朐农村每千人每年因恶性肿瘤造成20.0个DALYs损失(男性24.82,女性14.96),其中92.5%为早死所致,7.5%因残疾所致;恶性肿瘤主要导致45～59岁人群的DALYs损失,占31.5%;恶性肿瘤疾病负担前10位依次为胃癌、肺癌、肝癌、食道癌、白血病、肠癌、脑癌、胰腺癌、乳腺癌和骨癌,其中仅胃癌、肺癌和肝癌三大肿瘤DALYs就占全部肿瘤的69.3%;临朐县农村恶性肿瘤疾病负担有进一步上升的趋势. 结论 恶性肿瘤疾病负担主要由早死所致,胃癌、肺癌、肝癌等主要癌症疾病负担高于全球和中国区水平.

A novel iterative method for simulating patient-specific optimal deformation and fit of fracture fixation plates

This paper proposes a new iterative method to achieve an optimally fitting plate for preoperative planning purposes. The proposed method involves integration of four commercially available software tools, Matlab, Rapidform2006, SolidWorks and ANSYS, each performing specific tasks to obtain a plate shape that fits optimally for an individual tibia and is mechanically safe. A typical challenge when crossing multiple platforms is to ensure correct data transfer. We present an example of the implementation of the proposed method to demonstrate successful data transfer between the four platforms and the feasibility of the method.

Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women

Lean body mass (LBM) and muscle mass remains difficult to quantify in large epidemiological studies due to non-availability of inexpensive methods. We therefore developed anthropometric prediction equations to estimate the LBM and appendicular lean soft tissue (ALST) using dual energy X-ray absorptiometry (DXA) as a reference method. Healthy volunteers (n= 2220; 36% females; age 18-79 y) representing a wide range of body mass index (14-44 kg/m2) participated in this study. Their LBM including ALST was assessed by DXA along with anthropometric measurements. The sample was divided into prediction (60%) and validation (40%) sets. In the prediction set, a number of prediction models were constructed using DXA measured LBM and ALST estimates as dependent variables and a combination of anthropometric indices as independent variables. These equations were cross-validated in the validation set. Simple equations using age, height and weight explained > 90% variation in the LBM and ALST in both men and women. Additional variables (hip and limb circumferences and sum of SFTs) increased the explained variation by 5-8% in the fully adjusted models predicting LBM and ALST. More complex equations using all the above anthropometric variables could predict the DXA measured LBM and ALST accurately as indicated by low standard error of the estimate (LBM: 1.47 kg and 1.63 kg for men and women, respectively) as well as good agreement by Bland Altman analyses. These equations could be a valuable tool in large epidemiological studies assessing these body compartments in Indians and other population groups with similar body composition.

An instrument to measure adherence to weight loss programs : the Compliance Praxis Survey-Diet (COMPASS-Diet)

Adherence to behavioral weight loss strategies is important for weight loss success. We aimed to examine the reliability and validity of a newly developed compliance praxis-diet (COMPASS-diet) survey with participants in a 10-week dietary intervention program. During the third of five sessions, participants of the “slim-without-diet” weight loss program (n = 253) completed the COMPASS-diet survey and provided data on demographic and clinical characteristics, and general self-efficacy. Group facilitators completed the COMPASS-diet-other scale estimating participants’ likely adherence from their perspective. We calculated internal consistency, convergent validity, and predictive value for objectively measured weight loss. Mean COMPASS-diet-self score was 82.4 (SD 14.2) and COMPASS-diet-other score 80.9 (SD 13.6) (possible range 12–108), with lowest scores in the normative behavior subscale. Cronbach alpha scores of the COMPASS-diet-self and -other scale were good (0.82 and 0.78, respectively). COMPASS-diet-self scores (r = 0.31) correlated more highly with general self-efficacy compared to COMPASS-diet-other scores (r = 0.04) providing evidence for validity. In multivariable analysis adjusted for age and gender, both the COMPASS-diet-self (F = 10.8, p < 0.001, r2 = 0.23) and other (F = 5.5, p < 0.001, r2 = 0.19) scales were significantly associated with weight loss achieved at program conclusion. COMPASS-diet surveys will allow group facilitators or trainers to identify patients who need additional support for optimal weight loss.

Frontier Techniques for Measuring and Estimating Airport Efficiency : An Empirical Review with Practical Guidelines for Analysis and Future Research

Airport efficiency is important because it has a direct impact on customer safety and satisfaction and therefore the financial performance and sustainability of airports, airlines, and affiliated service providers. This is especially so in a world characterized by an increasing volume of both domestic and international air travel, price and other forms of competition between rival airports, airport hubs and airlines, and rapid and sometimes unexpected changes in airline routes and carriers. It also reflects expansion in the number of airports handling regional, national, and international traffic and the growth of complementary airport facilities including industrial, commercial, and retail premises. This has fostered a steadily increasing volume of research aimed at modeling and providing best-practice measures and estimates of airport efficiency using mathematical and econometric frontiers. The purpose of this chapter is to review these various methods as they apply to airports throughout the world. Apart from discussing the strengths and weaknesses of the different approaches and their key findings, the paper also examines the steps faced by researchers as they move through the modeling process in defining airport inputs and outputs and the purported efficiency drivers. Accordingly, the chapter provides guidance to those conducting empirical research on airport efficiency and serves as an aid for aviation regulators and airport operators among others interpreting airport efficiency research outcomes.