Model-independent measurements of the sodium magneto-optical trap's excited-state population

We present model-independent measurements of the excited-state population of atoms in a sodium (Na) magneto-optical trap (MOT) using a hybrid ion-neutral trap composed of a MOT and a linear Paul trap (LPT). We photoionize excited Na atoms trapped in the MOT and use two independent methods to measure the resulting ions: directly by trapping them in our LPT, and indirectly by monitoring changes in MOT fluorescence. By measuring the ionization rate via these two independent methods, we have enough information to directly determine the population of MOT atoms in the excited-state. The resulting measurement reveals that there is a range of trapping-laser intensities where the excited-state population of atoms in our MOT follows the standard two-level model intensity-dependence. However, an experimentally determined effective saturation intensity must be used instead of the theoretically predicted value from the two-level model. We measured the effective saturation intensity to be $I_\mathrm{se}=22.9(3)\:\textrm{mW}/\textrm{cm}^2$ for the type-I Na MOT and $I_\mathrm{se}=48.9(7)\;\textrm{mW}/\textrm{cm}^2$ for the type-II Na MOT, approximately 1.7 and 3.6 times the theoretical estimate, respectively. Lastly, at large trapping-laser intensities, our experiment reveals a clear departure from the two-level model at a critical intensity that we believe is due to a state-mixing effect, whose critical intensity can be determined by a simple power broadening model.Comment: 10 pages, 8 figure

Adaptive Feature Selection for Object Tracking with Particle Filter

International audienceObject tracking is an important topic in the field of computer vision. Commonly used color-based trackers are based on a fixed set of color features such as RGB or HSV and, as a result, fail to adapt to changing illumination conditions and background clutter. These drawbacks can be overcome to an extent by using an adaptive framework which selects for each frame of a sequence the features that best discriminate the object from the background. In this paper, we use such an adaptive feature selection method embedded into a particle filter mechanism and show that our tracking method is robust to lighting changes and background distractions. Different experiments also show that the proposed method outperform other approaches

Human Gait Recognition from Motion Capture Data in Signature Poses

Most contribution to the field of structure-based human gait recognition has been done through design of extraordinary gait features. Many research groups that address this topic introduce a unique combination of gait features, select a couple of well-known object classiers, and test some variations of their methods on their custom Kinect databases. For a practical system, it is not necessary to invent an ideal gait feature -- there have been many good geometric features designed -- but to smartly process the data there are at our disposal. This work proposes a gait recognition method without design of novel gait features; instead, we suggest an effective and highly efficient way of processing known types of features. Our method extracts a couple of joint angles from two signature poses within a gait cycle to form a gait pattern descriptor, and classifies the query subject by the baseline 1-NN classier. Not only are these poses distinctive enough, they also rarely accommodate motion irregularities that would result in confusion of identities. We experimentally demonstrate that our gait recognition method outperforms other relevant methods in terms of recognition rate and computational complexity. Evaluations were performed on an experimental database that precisely simulates street-level video surveillance environment

Sex and Gender-Based Women\u27s Health: A Practical Guide for Primary Care - A Resource for Learning and Teaching

TOP WINNER Background: Patients expect comprehensive, gender-specific care; yet studies reveal that few residency programs in internal medicine provide dedicated training in women’s health and gender-based medicine. Further, graduates are unable to demonstrate competency to care for female and gender-diverse patients. Objectives: To produce a sex and gender-based women’s health curriculum, written explicitly for primary care providers to guide the care of women and gender-diverse patients, and to be used as a curriculum to educate learners. Methods: In collaboration with Springer Nature, development of this online and inprint textbook began in 2017. Topics were chosen with input from women’s health experts and are tailored to gender-based conditions commonly evaluated, diagnosed, and/or managed in the primary care setting. Authors were then recruited nationally for each topic. Using evidenced-based medicine principles, chapters were formatted for consistency to include the epidemiology, physiology/pathophysiology, clinical manifestations, differential diagnosis, diagnostic approach, and treatment for each topic, when appropriate. Each chapter has clear, measurable learning objectives, summary statements, and multiplechoice questions with annotated answers to check understanding and help earn CME and MOC credit. With 39 chapters and \u3e600 pages, sections are comprehensive and include Breast and Gynecologic Health and Disease, Obstetric Medicine, Chronic Pain Disorders, Mental Health and Trauma, LGBTQ Health, Common Medical Conditions (osteoporosis, cardiovascular disease), and Foundations of Women’s Health, which highlights the history, disparities, and future of women’s and gender-based healthcare. Conclusions/Impact: This is the first comprehensive curricular resource written by clinical women’s health physicians, using the most up-to-date evidence, clinical guidelines, expert opinion, and clinical pearls. Our goal is to provide a guide that can serve as a quick point-of-care clinical reference for a specific topic or as a longitudinal curriculum for learners in any primary care discipline, especially programs where women’s health and gender-specific curricula and champions are sparse.https://jdc.jefferson.edu/sexandgenderhealth/1030/thumbnail.jp

Two faces of narcissism on SNS: The distinct effects of vulnerable and grandiose narcissism on SNS privacy control

a b s t r a c t This study suggests narcissism as an important psychological factor that predicts one's behavioral intention to control information privacy on SNS. Particularly, we approach narcissism as a two-dimensional construct-vulnerable and grandiose narcissism-to provide a better understanding of the role of narcissism in SNS usage. As one of the first studies to apply a two-dimensional approach to narcissism in computer-mediated communication, our results show that vulnerable narcissism has a significant positive effect on behavioral intention to control privacy on SNS, while grandiose narcissism has no effect. This effect was found when considering other personality traits, including self-esteem, computer anxiety, and concern for information privacy. The results indicate that unidimensional approaches to narcissism cannot solely predict SNS behaviors, and the construct of narcissism should be broken down into two orthogonal constructs

Phylogenetic relationships within Orobanche and Phelipanche (Orobanchaceae) from Central Europe, focused on problematic aggregates, taxonomy, and host ranges

Holoparasitic genera within the family Orobanchaceae are characterized by greatly reduced vegetative organs; therefore, molecular analysis has proved to be a useful tool in solving taxonomic problems in this family. For this purpose, we studied all species of the genera Orobanche and Phelipanche occurring in Central Europe, specifically in Poland, the Czech Republic, Slovakia, and Austria, supplemented by samples mainly from Spain, France, Germany, and Ukraine. They were investigated using nuclear sequences (ITS region) and a plastid trnL- trnF region. The aim of this study was to examine phylogenetic relationships within Orobanche and Phelipanche from Central Europe; we focused on problematic species and aggregates, recent taxonomic changes in these (rank and secondary ranks), and host ranges. The most interesting results concern the exlusion of O. mayeri from O. alsatica aggr. Additionally, following the rules of traditional taxonomy, the correct names and types of some secondary ranks are given and, as a result of this, a new combination below the Phelipanche genus is made ( P . sect. Trionychon ). The host ranges of the investigated species in Central Europe include 102 species from 12 families, most often from Asteraceae. For this purpose, ca. 400 localities were examined in the field. Moreover, data acquired from the literature and European and Asian herbaria were use