Affect Recognition in Hand-Object Interaction Using Object-Sensed Tactile and Kinematic Data

We investigate the recognition of the affective states of a person performing an action with an object, by processing the object-sensed data. We focus on sequences of basic actions such as grasping and rotating, which are constituents of daily-life interactions. iCube, a 5 cm cube, was used to collect tactile and kinematics data that consist of tactile maps (without information on the pressure applied to the surface), and rotations. We conduct two studies: classification of i) emotions and ii) the vitality forms. In both, the participants perform a semi-structured task composed of basic actions. For emotion recognition, 237 trials by 11 participants associated with anger, sadness, excitement, and gratitude were used to train models using 10 hand-crafted features. The classifier accuracy reaches up to 82.7%. Interestingly, the same classifier when learned exclusively with the tactile data performs on par with its counterpart modeled with all 10 features. For the second study, 1135 trials by 10 participants were used to classify two vitality forms. The best-performing model differentiated gentle actions from rude ones with an accuracy of 84.85%. The results also confirm that people touch objects differently when performing these basic actions with different affective states and attitudes

Detecting abnormal fish trajectories using clustered and labeled data

We propose an approach for the analysis of fish trajectories in unconstrained underwater videos. Trajectories are classified into two classes: normal trajectories which contain the usual behavior of fish and abnormal trajectories which indicate the behaviors that are not as common as the normal class. The paper presents two innovations: 1) a novel approach to abnormal trajectory detection and 2) improved performance on video based abnormal trajectory analysis of fish in unconstrained conditions. First we extract a set of features from trajectories and apply PCA. We then perform clustering on a subset of features. Based on the clustering, outlier detection is applied to each cluster. Improved results are obtained which is significant considering the challenges of underwater environments, low video quality, and erratic movement of fish

Inactive or moderately active human promoters are enriched for inter-individual epialleles

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Non-kutanöz Periferik T-hücreli Lenfomalarda Klinik Özellikler ve Tedavi Sonuçlarına ilişkin Gerçek Yaşam Deneyimi:Türk Hematoloji Araştırma ve Eğitim Grubunun Çok Merkezli Çalışması

Objective: Peripheral T-cell lymphomas (PTCLs) are an uncommon and quite heterogeneous group of disorders, representing only 10%-15% of all non-Hodgkin lymphomas. Although both molecular and clinical studies have increased in recent years, we still have little knowledge regarding real-life practice with PTCLs. In this study, we aimed to investigate the clinical characteristics and treatment outcomes of a large population-based cohort of patients presenting with systemic non-cutaneous PTCL. Materials and Methods: We conducted a multicenter retrospective analysis of 190 patients consecutively diagnosed and treated with non-cutaneous PTCLs between 2008 and 2016. Results: Considering all first-line treatment combinations, the overall response rate was 65.9% with 49.4% complete remission (n=81) and 16.5% partial response (n=27). The 5-year overall survival and event-free survival rates were significantly different between the transplant and non-transplant groups (p<0.01, and p=0.033, respectively). Conclusion: The retrospective analysis of a large volume of real-life data on the Turkish experience regarding non-cutaneous PTCL patients showed consistent results compared to other unselected PTCL cohorts with some minor differences in terms of survival and transplantation outcomes. The long-term outcome of patients who receive autologous hematopoietic cell transplantation as part of upfront consolidation or salvage therapy is favorable compared to patients who are unable to receive high-dose therapy. © 2022 by Turkish Society of Hematology Turkish Journal of Hematology, Published by Galenos Publishing House

A chronic myeloid leukemia-like syndrome case with del (12) (p12) in a Li-Fraumeni syndrome family

Li-Fraumeni syndrome is a familial cancer syndrome characterized by different tumors and hereditary p53 mutations. Here, a chronic myeloid leukemia-like syndrome case in a Li-Fraumeni syndrome family with del (12) (p12) cytogenetic abnormality was presented. A hereditary p53 mutation (pro309ser) supported the Li-Fraumeni syndrome diagnosis in this family. This syndrome was characterized by the clonal myeloproliferative accumulation in bone marrow and peripheral blood with negative bcr/abl gene rearrangement finding. The etiology of this rare syndrome is still unclear. This is the only chronic myeloid leukemia-like syndrome case reported in a Li-Fraumeni syndrome family. Del (12) (p12) was observed in leukemias except chronic myeloid leukemia-like syndrome. The deletion in chromosome 12pl2 with hereditary p53 mutation should have a critical role in chronic myeloid leukemia-like syndrome etiology in our case. © 2005 Blackwell Publishing Ltd

Long-term underwater camera surveillance for monitoring and analysis of fish populations

Long-term monitoring of the underwater environment is still labour intensive work. Using underwater surveillance cameras to monitor this environment has the potential advantage to make the task become less labour intensive. Also, the obtained data can be stored making the research reproducible. In this work, a system to analyse long-term underwater camera footage (more than 3 years of 12 hours a day underwater camera footage from 10 cameras) is described. This system uses video processing software to detect and recognise fish species. This footage is processed on supercomputers, which allow marine biologists to request automatic processing on these videos and afterwards analyse the results using a web-interface that allows them to display counts of fish species in the camera footage