LUU QUANG VU’S PHILOSOPHICAL ARGUMENTATION AND ARTISTIC CREATIVITY IN THE PLAY “TRUONG BA’S SOUL IN THE BUTCHER'S BODY”

Thanks to the positive impacts brought by the show “Hồn Trương Ba da hàng thịt” (“Truong Ba's Soul in the Butcher's body”), together with its increasing numbers of performances and showing hours on domestic and international stages, the play has attracted increasing reviews from researchers and literary critics. Upon discussing the established criticism and opinions, the author shares his own approach of understanding the play. Investigating Luu Quang Vu’s philosophical argumentation and creativity, this article focuses on problem detection capability – Truong Ba Soul’s personal tragedies - and the advantages of the drama language; the transition from folk philosophy to Luu Quang Vu’s; Luu Quang Vu’s psychoanalytic perspectives on the harmony of the “Id" - "the “Ego” - "the SuperEgo” coexisting in Truong Ba’s Soul; the concept of humans in multifaceted relationships and the reflections that helped Truong Ba's Soul resolve his tragedies.

Encouraging foot care in people with and without diabetes through narrative communication

In order to minimize risk of infection and potential foot complications, it is recommended that people with and without diabetes check their feet regularly for problems such as cuts, sores, blisters or calluses. Hence, an understanding of how to craft effective messages to encourage people to check their feet is important. Two studies investigated the use of narrative stories to encourage foot problem detection behaviour; Study 1 in a general population sample ( N = 193), and Study 2 in a sample of people with type 1 or type 2 diabetes ( N = 129). In both studies participants were randomised to either (a) receive an information sheet written in first-person narrative; (b) the same in non-narrative format; or (c) no information sheet. Changes in weekly detection behaviour was the outcome of interest. In both studies, greater detection behaviour was observed in the narrative message condition vs. non-narrative condition and the non-narrative condition vs. no information condition. Our findings have implications for the design of health messages in delivering effective foot care education to people with and without diabetes, suggesting that narrative information sheets may be more effective than non-narrative information sheets.

Hubungan Pengetahuan dengan Kepatuhan Bidan dalam Penggunaan Partograf di Kamar Bersalin RSUD Undata Palu

Compliance in the use of partographs is one of the most important thing done by midwives to make clinical decisions, monitoring, evaluation, handling labor, early problem detection and complicated labor so that they can plan actions to overcome the problem or to give refferal the mother in the right conditions. The purpose of this study was to find out the relationship between knowledge with the compliance of midwives in the use of partographs. This study used an analytical observational design with a cross-sectional approach. The subjects in the study were all midwives who worked in the Maternity Room of Undata Palu Hospital in March-June 2018 as many as 26 respondents. Bivariate analysis used the Sperman Rank test. The results of this study were good knowledgeable midwives as many as 18 respondents (69.3%), obedient midwives as many as 16 respondents (61.5%), and the results of bivariate analysis showed that the relationship of knowledge with midwife compliance in using partograph was rs 0.529 and p-value 0.005. Conclusion: There was a relationship between knowledge and compliance of midwives in using Partographs with medium correlation strength. Suggestion: This result can be an evaluation material for respondents about the use of partograph

Estimating the number of usability problems affecting medical devices: modelling the discovery matrix

Background Usability testing of medical devices are mandatory for market access. The testings’ goal is to identify usability problems that could cause harm to the user or limit the device’s effectiveness. In practice, human factor engineers study participants under actual conditions of use and list the problems encountered. This results in a binary discovery matrix in which each row corresponds to a participant, and each column corresponds to a usability problem. One of the main challenges in usability testing is estimating the total number of problems, in order to assess the completeness of the discovery process. Today’s margin-based methods fit the column sums to a binomial model of problem detection. However, the discovery matrix actually observed is truncated because of undiscovered problems, which corresponds to fitting the marginal sums without the zeros. Margin-based methods fail to overcome the bias related to truncation of the matrix. The objective of the present study was to develop and test a matrix-based method for estimating the total number of usability problems. Methods The matrix-based model was based on the full discovery matrix (including unobserved columns) and not solely on a summary of the data (e.g. the margins). This model also circumvents a drawback of margin-based methods by simultaneously estimating the model’s parameters and the total number of problems. Furthermore, the matrix-based method takes account of a heterogeneous probability of detection, which reflects a real-life setting. As suggested in the usability literature, we assumed that the probability of detection had a logit-normal distribution. Results We assessed the matrix-based method’s performance in a range of settings reflecting real-life usability testing and with heterogeneous probabilities of problem detection. In our simulations, the matrix-based method improved the estimation of the number of problems (in terms of bias, consistency, and coverage probability) in a wide range of settings. We also applied our method to five real datasets from usability testing. Conclusions Estimation models (and particularly matrix-based models) are of value in estimating and monitoring the detection process during usability testing. Matrix-based models have a solid mathematical grounding and, with a view to facilitating the decision-making process for both regulators and device manufacturers, should be incorporated into current standards.

Text Mining to Support Consulting Services for Client Company State Recognition

This study was conducted to devise a method for supporting consulting service companies in their response to client demands irrespective of the expertise of consultants. With emphasis on revitalization of small and medium-sized enterprises, the importance of support systems for consulting services to serve them is increasing. Those systems must support solutions to difficulties that must be addressed by enterprises. Consulting companies can respond to widely various management consultations. Nevertheless, because the consultation contents are highly specialized, service proposals and problem detection depend on the experience and intuition of the consultant. Often, stable service cannot be provided. A support system must provide stable services independent of the ability of consultants. In this study, analyzing customer information describing the contents of consultation with client companies is the first step in constructing a support system that can predict future problems. Text data such as a consultant’s visit history, consultation contents by e-mail, and contents of call centers are used for analyses because the contents can explain current problems. They might also indicate future problems. This report describes a method to analyze text data using text mining. The target problem is fraud, which includes uncertainty: cases in which it is not clear whether a fraud problem has occurred with the company. To address uncertainty, a method of using logistic regression models is proposed to represent inferred values as probabilities, rather than as binary discriminated data, because the possibility exists that some misidentified companies might have some difficulty. As described herein, computer experiments are conducted to verify the effectiveness of the proposed method and to compare consultants’ forecasted and achieved results. Results of a verification experiment are presented in the following. First, the proposed method is applicable to problems including uncertainties. Secondly, the possibility exists of discovering companies with a fraud problem of which they are unaware.