29 research outputs found

    Race Against the Machine: a Fully-annotated, Open-design Dataset of Autonomous and Piloted High-speed Flight

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    Unmanned aerial vehicles, and multi-rotors in particular, can now perform dexterous tasks in impervious environments, from infrastructure monitoring to emergency deliveries. Autonomous drone racing has emerged as an ideal benchmark to develop and evaluate these capabilities. Its challenges include accurate and robust visual-inertial odometry during aggressive maneuvers, complex aerodynamics, and constrained computational resources. As researchers increasingly channel their efforts into it, they also need the tools to timely and equitably compare their results and advances. With this dataset, we want to (i) support the development of new methods and (ii) establish quantitative comparisons for approaches originating from the broader robotics and artificial intelligence communities. We want to provide a one-stop resource that is comprehensive of (i) aggressive autonomous and piloted flight, (ii) high-resolution, high-frequency visual, inertial, and motion capture data, (iii) commands and control inputs, (iv) multiple light settings, and (v) corner-level labeling of drone racing gates. We also release the complete specifications to recreate our flight platform, using commercial off-the-shelf components and the open-source flight controller Betaflight, to democratize drone racing research. Our dataset, open-source scripts, and drone design are available at: https://github.com/tii-racing/drone-racing-datasetComment: 8 pages, 7 figure

    Molecular characterization of interdigitating dendritic cell sarcoma

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    Interdigitating dendritic cell sarcoma is an extremely rare cancer that lacks a standard treatment approach. We report on a patient who was surgically resected and remains disease- free. The tumor was assessed for druggable targets using immunohistochemical staining to identify potential agents that could be used in the event of disease recurrence

    Impact of physical exercise on behavioral and social features in individuals with autism spectrum disorder

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    Background and Study Aim. Physical exercise is linked with several physical and psychological health advantages. A range of investigations has revealed the presence of a significant association between physical exercise and indicative improvements in subjects with Autism Spectrum Disorder (ASD). This systematic review aims to update the literature about the impact of physical exercise interventions on social, behavioral, and other outcomes for individuals with ASD. Materials and Methods. The study design followed the PRISMA guidelines. A systematic search of electronic databases—PubMed, Google Scholar, Science Direct, and Jane Publications—was performed from 2010 to December 2023. We searched for related research papers in English using keywords 'Autism Spectrum Disorder,' 'exercise,' and 'physical activity. Results. This systematic review employed a four-stage screening process, which resulted in the inclusion of 18 trial studies. The intervention period varied from three to forty-eight weeks, with a frequency of 3-7 times per week. The results demonstrated that physical exercise had a substantial positive impact on communication, social interaction, and motor skills in subjects with Autism Spectrum Disorder (ASD). Conclusions. This review supports physical exercise as a powerful tool in decreasing stereotypical behaviors, and in improving social communication and motor skills in subjects diagnosed with ASD. Regular physical exercise therapy can have a greater effect on improving the quality of life for ASD subjects

    Psychiatric rating scales in Urdu: a systematic review

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    <p>Abstract</p> <p>Background</p> <p>Researchers setting out to conduct research employing questionnaires in non-English speaking populations need instruments that have been validated in the indigenous languages. In this study we have tried to review the literature on the status of cross-cultural and/or criterion validity of all the questionnaires measuring psychiatric symptoms available in Urdu language.</p> <p>Methods</p> <p>A search of Medline, Embase, PsycINFO and <url>http://www.pakmedinet.com</url> was conducted using the search terms; Urdu psychiatric rating scale, and Urdu and Psychiatry. References of retrieved articles were searched. Only studies describing either cross-cultural or criterion validation of a questionnaire in Urdu measuring psychiatric symptoms were included.</p> <p>Results</p> <p>Thirty two studies describing validation of 19 questionnaires were identified. Six of these questionnaires were developed indigenously in Urdu while thirteen had been translated from English. Of the six indigenous questionnaires five had had their criterion validity examined. Of the thirteen translated questionnaires only four had had both their cross-cultural and criterion validity assessed.</p> <p>Conclusion</p> <p>There is a paucity of validated questionnaires assessing psychiatric symptoms in Urdu. The BSI, SRQ and AKUADS are the questionnaires that have been most thoroughly evaluated in Urdu.</p

    Reproductive health and access to healthcare facilities: risk factors for depression and anxiety in women with an earthquake experience

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    <p>Abstract</p> <p>Background</p> <p>The reproductive and mental health of women contributes significantly to their overall well-being. Three of the eight Millennium Development Goals are directly related to reproductive and sexual health while mental disorders make up three of the ten leading causes of disease burden in low and middle-income countries. Among mental disorders, depression and anxiety are two of the most prevalent. In the context of slower progress in achieving Millennium Development Goals in developing countries and the ever-increasing man-made and natural disasters in these areas, it is important to understand the association between reproductive health and mental health among women with post-disaster experiences.</p> <p>Methods</p> <p>This was a cross-sectional study with a sample of 387 women of reproductive age (15-49 years) randomly selected from the October 2005 earthquake affected areas of Pakistan. Data on reproductive health was collected using the Centers for Disease Control reproductive health assessment toolkit. Depression and anxiety were measured using the Hopkins Symptom Checklist-25, while earthquake experiences were captured using the Harvard Trauma Questionnaire. The association of either depression or anxiety with socio-demographic variables, earthquake experiences, reproductive health and access to health facilities was estimated using multivariate logistic regression.</p> <p>Results</p> <p>Post-earthquake reproductive health events together with economic deprivation, lower family support and poorer access to health care facilities explained a significant proportion of differences in the experiencing of clinical levels of depression and anxiety. For instance, women losing resources for subsistence, separation from family and experiencing reproductive health events such as having a stillbirth, having had an abortion, having had abnormal vaginal discharge or having had genital ulcers, were at significant risk of depression and anxiety.</p> <p>Conclusion</p> <p>The relationship between women's post-earthquake mental health and reproductive health, socio-economic status, and health care access is complex and explained largely by the socio-cultural role of women. It is suggested that interventions that consider gender differences and that are culturally appropriate are likely to reduce the incidence.</p

    Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors

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    YesThis research highlights a contextual application for big data within a HR case study setting. This is achieved through the development of a normative conceptual model that seeks to envelop employee behaviors and attitudes in the context of organizational change readiness. This empirical application considers a data sample from a large public sector organization and through applying Structural Equation Modelling (SEM) identifies salary, job promotion, organizational loyalty and organizational identity influences on employee job satisfaction (suggesting and mediating employee readiness for organizational change). However in considering this specific context, the authors highlight how, where and why such a normative approach to employee factors may be limited and thus, proposes through a framework which brings together big data principles, implementation approaches and management commitment requirements can be applied and harnessed more effectively in order to assess employee attitudes and behaviors as part of wider HR predictive analytics (HRPA) approaches. The researchers conclude with a discussion on these research elements and a set of practical, conceptual and management implications of the findings along with recommendations for future research in the area

    Philosophy of shah waliullah/ Halepota

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    262 hal.; 21 cm
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