Size constrained unequal probability sampling with a non-integer sum of inclusion probabilities

More than 50 methods have been developed to draw unequal probability samples with fixed sample size. All these methods require the sum of the inclusion probabilities to be an integer number. There are cases, however, where the sum of desired inclusion probabilities is not an integer. Then, classical algorithms for drawing samples cannot be directly applied. We present two methods to overcome the problem of sample selection with unequal inclusion probabilities when their sum is not an integer and the sample size cannot be fixed. The first one consists in splitting the inclusion probability vector. The second method is based on extending the population with a phantom unit. For both methods the sample size is almost fixed, and equal to the integer part of the sum of the inclusion probabilities or this integer plus one

Quality of life in Romanian patients with schizophrenia based on gender, type of schizophrenia, therapeutic approach, and family history

The low quality of life of patients with schizophrenia has been extensively discussed and investigated. Various aspects from gender, socio-demographic profile, and/or type of neuroleptic treatment have been taken into account in describing this condition. The purpose of this study is to assess the perceived quality of life of Romanian patients suffering from schizophrenia and to correlate it with gender differences, type of schizophrenia, family history of psychiatric illness, and type of antipsychotic treatment. 143 patients diagnosed with schizophrenia according to DSM IV-TR and ICD 10 were included in the study. Social demographic data were documented and further assessment was performed using the Subjective Well Being under Neuroleptic Treatment Scale –the short form (SWN-S) and the short version of the WHO- Questionnaire for The Quality of Life (WHO-QoL-BREF). The mental functioning dimension was higher in men than women; the social integration dimension was higher for the residual type of schizophrenia. Emotional regulation and the capacity of social integration did not show significant differences between patients who had a family history of mental illness and those who did not. Levels of self-control and physical functioning were better for patients treated with atypical antipsychotics and who did not report a family history of psychiatric illness. All five dimensions of the SWN-S were higher in patients treated with atypical antipsychotics, compared to those who were treated with typical antipsychotics. The study showed that for people with schizophrenia mental functioning was better preserved in men, in patients who did not have a family history of psychiatric illness, and in patients who were treated with atypical antipsychotics. The level of social integration was better in patients who were treated with atypical antipsychotics but this effect depended on the type of schizophrenia

Towards Eating Habits Discovery in Egocentric Photo-Streams

Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits from egocentric photo-streams. We build a food-related behavioral pattern discovery model, which discloses nutritional routines from the activities performed throughout the days. To do so, we rely on Dynamic-Time-Warping for the evaluation of similarity among the collected days. Within this framework, we present a simple, but robust and fast novel classification pipeline that outperforms the state-of-the-art on food-related image classification with a weighted accuracy and F-score of 70% and 63%, respectively. Later, we identify days composed of nutritional activities that do not describe the habits of the person as anomalies in the daily life of the user with the Isolation Forest method. Furthermore, we show an application for the identification of food-related scenes when the camera wearer eats in isolation. Results have shown the good performance of the proposed model and its relevance to visualize the nutritional habits of individuals