ELIZA cgi-bash version rev. 1.90
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61) PMID: 37988901 DOI: 10.1016/j.jflm.2023.102619
% 2024 Journal of forensic and legal medicine
* Using expert-reviewed CSAM to train CNNs and its anthropological analysis.
- Machine learning methods for the identification of child sexual abuse materials (CSAM) have been previously studied, however, they have serious limitations. Firstly, the training sets used to train the appropriate machine learning algorithms were not previously annotated by a forensic expert in anthropology. Secondly, previously presented solutions have rarely used models trained using real pornographic content involving children. Thirdly, previous studies have not presented a detailed justification for the classification decisions made, which is important due to the recent guidelines of the European Commission (Artificial Intelligence Act). The aim of the study was to train convolution neural networks (CNNs) using expert-labelled CSAM images and thereby identify the elements of the body and/or the environment that are critical for classifications by the neural network. To train and evaluate machine learning models, we used 60,000 images equally divided into four classes (CSAM images, images displaying sexual activity involving adults, images of people without sexual activity, and images not containing people). We used four neural network architectures: MobileNet, ResNet152, xResNet152 and its modification ResNet-s, designed for the purpose of research. The trained models provided high accuracy of classifying CSAM images: xResNet152 (F1 = 0.93, 92,8%), xResNet-s (F1 = 0.93, 93,1%), ResNet152 (F1 = 0.90, 91,39%), MobileNet (F1 ranged from 0.85 to 0.87, accuracy ranged from 86% to 87%). The results of the conducted research suggest that using expert knowledge (in sexology and anthropology) significantly improved the accuracy of the models. In regard to further anthropological analysis, the results indicate that the breasts, face and torso are crucial areas for the classification of pornographic content with children's participation. Results suggests that the ResNet-s neural network may be a reliable tool for clinical work and to support the work of experts witnesses in the field of anthropology. The study design received a positive opinion of the Ethics Committee of the Faculty of Mathematics, Informatics and Mechanics of the University of Warsaw. The clinical material was used for research purposes with the consent of the relevant prosecutor's offices. Authors provided free version of Windows application to classify CSAM for forensic experts, policemen and prosecutors at the OSF repository (DOI: 10.17605/OSF.IO/RU7JX).

62) PMID: 38237000 DOI: 10.1097/MPH.0000000000002814
% 2024 Journal of pediatric hematology/oncology
* Eating Behavior, Nutritional Status, and Taste Perception Alteration in Children with Cancer.
- The aim of this study was to investigate eating behavior, nutritional status, and taste alterations in children with cancer. The population of the study consisted of children 8 to 18 years of age and their parents who were followed up and received chemotherapy in the pediatric hematology and oncology clinic and outpatient clinic of a University Faculty of Medicine Oncology Hospital. Data were collected using the Child Identification Form, the Children's Eating Behavior Questionnaire (CEBQ), the Taste Alteration Scale for Children Receiving Chemotherapy (TAC-TAS), and the Subjective Total Taste Acuity Scale (STTA). Body Mass Index (BMI) Z score was between -2 and +2 (normal) in 92.5% of the children and below ≤-2 (malnutrition) in 7.5%. The mean CEBQ subdimensions scores were food craving 12.48±5.36, emotional overeating 5.28±1.45, enjoyment of food 16.83±5.41, passion for drinking 9.72±5.13, satiety enthusiasm 22.93±6.65, slow eating 9.81±4.95, emotional undereating 16.38±4.41, and food selectivity 10.72±2.86, and the mean total TAC-TAS score was 8.66±10.22. A negative, moderate correlation was determined between food craving and enjoyment of food and taste alteration, with food craving and enjoyment decreasing as food alteration increased. A positive moderate correlation was observed between slow eating and taste alteration, with eating slowing down as taste alteration increased.

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