3D Numerical Simulation of Eddy Current Testing of a Block with a Crack

There are many approaches to 3D eddy current analysis. Typical methods for the eddy current analysis are the A-ø method and the T-ω method. Both methods require variables in space as well as in a conductor. We have already proposed the T method [1, 2, 3], where a magnetic scalar potential ω is not included and we do not need variables in space. But the method has a disadvantage that a large core memory is needed due to a dense matrix

Pemberian Pupuk Kandang Dan Volume Air Terhadap Pertumbuhan Dan Hasil Kedelai Edamame (Gycine Max (L.) Merril)

This research aim to get the interaction of manure and water volume on the growth and yield of edamame soybean and determine the combination that gives the highest production on the growth and yield of edamame soybean. This research was conducted at the Screen House Stadion of Agriculture Faculty, University of Riau on January 2015 until March 2015. This research arranged Completely Rendomized Design (CRD) with factor (I) composed of three (5 tons/ha, 10 tons/ha, 15 tons/ha) and factor (II) composed of three (50% water volume, 75% water volume, 100% water volume). The data analyzed by (ANOVA) and tested further by Duncan Multiple Test Level (DNMRT) at 5%. The observed parameters are plant height, days to flowering, percentage of effective root nodules, plant dry weight, number of branches, number of plant pods, percentage filled pods, weight of plant pods, seeds weight a plant and number of seeds a plant. Interaction manure and water volume improve on percentage filled pod and doesn`t improve on plants height, days to flowering, percentage of effective root nodules, plant dry weight, number of branches,number of plant pods, weight of plant pods, seeds weight a plant and number of seeds a plant. Manure 5 tons/ha and 50% water volume is a combination treatment of the highest

Policy Implementation in Higher Education: The Dynamics of a Fall Break

A case study using mixed methods that critically appraises the implementation of a mental health policy in higher education in the absence of evidence to inform the policy using an exemplar case from one mid-sized post-secondary institution was the motivation for this research. Explanation building was used to iteratively analyse data on rival explanations of the implementation of the fall break policy. Analyses from the surveys revealed that overall, only 36.9 per cent of students perceived an increase in workload before the break and only 29.6 per cent of students perceived an increase in workload after the break. However, the focus groups and professor interviews revealed that the timing of the fall break had an impact on how students and professors experienced the break and their perceptions on its impact on student mental health. If baseline data regarding the implementation of the fall break would have been collected prior to its implementation, we could have possibly avoided the implementation issues that arose. While this research provides an exemplar case of a fall break policy at one post-secondary institution, the policy learning is universal

Political Commitment and Sense of Social Responsibility among Social Entrepreneurs in Davao City, Philippines

Social entrepreneurs can play a game-changing role in local and national development by introducing social innovation. Strongly committed and mission- driven, they employ entrepreneurial schemes to organize and manage resources through financially sound and economically sustainable entities in order to create social value. This study aimed to determine the levels of political commitment and sense of social responsibility among social entrepreneurs of small and medium-sized social enterprises in Davao City. Using the non-experimental descriptive correlation method to gather survey inputs from 47 respondents, the researchers found that the respondents exhibited high levels of political commitment and sense of social responsibility. Furthermore, a significant relationship existed between political commitment and sense of social responsibility. When analyzed according to sex, no significant difference was observed in the level of political commitment. However, a significant difference appeared when analyzed according to type of business venture. No significant difference was ever observed in the level of sense of social responsibility in both variables

Prediction Models of Breast Cancer Outcome

The goal of this study is to establish a method for predicting overall survival (OS ) and disease‐free survival (DFS ) in breast cancer patients after surgical operation. The gene expression profiles of cancer tissues from the patients, who underwent complete surgical resection of breast cancer and were subsequently monitored for postoperative survival, were analyzed using cDNA microarrays. We detected seven and three probes/genes associated with the postoperative OS and DFS , respectively, from our discovery cohort data. By incorporating these genes associated with the postoperative survival into MammaPrint genes, often used to predict prognosis of patients with early‐stage breast cancer, we constructed postoperative OS and DFS prediction models from the discovery cohort data using a Cox proportional hazard model. The predictive ability of the models was evaluated in another independent cohort using Kaplan–Meier (KM ) curves and the area under the receiver operating characteristic curve (AUC ). The KM curves showed a statistically significant difference between the predicted high‐ and low‐risk groups in both OS (log‐rank trend test P = 0.0033) and DFS (log‐rank trend test P = 0.00030). The models also achieved high AUC scores of 0.71 in OS and of 0.60 in DFS . Furthermore, our models had improved KM curves when compared to the models using MammaPrint genes (OS : P = 0.0058, DFS : P = 0.00054). Similar results were observed when our model was tested in publicly available datasets. These observations indicate that there is still room for improvement in the current methods of predicting postoperative OS and DFS in breast cancer