Video-based online face recognition using identity surfaces

Recognising faces across multiple views is more challenging than that from a fixed view because of the severe non-linearity caused by rotation in depth, self-occlusion, self-shading, and change of illumination. The problem can be related to the problem of modelling the spatiotemporal dynamics of moving faces from video input for unconstrained live face recognition. Both problems remain largely under-developed. To address the problems, a novel approach is presented in this paper. A multi-view dynamic face model is designed to extract the shape-and-pose-free texture patterns of faces. The model provides a precise correspondence to the task of recognition since the 3D shape information is used to warp the multi-view faces onto the model mean shape in frontal-view. The identity surface of each subject is constructed in a discriminant feature space from a sparse set of face texture patterns, or more practically, from one or more learning sequences containing the face of the subject. Instead of matching templates or estimating multi-modal density functions, face recognition can be performed by computing the pattern distances to the identity surfaces or trajectory distances between the object and model trajectories. Experimental results depict that this approach provides an accurate recognition rate while using trajectory distances achieves a more robust performance since the trajectories encode the spatio-temporal information and contain accumulated evidence about the moving faces in a video input

Professional identity, career commitment, and career entrenchment of midlevel student affairs professionals

The purposes of this study were to identify factors of midlevel student affairs administrators’ professional identity and to examine the association of those factors to career commitment, career entrenchment, and demographic characteristics. Principal axis factor analysis derived 3 dimensions of professional identity: career contentment, community connection, and values congruence with the profession. Regression analyses conducted on 377 survey responses revealed that 3 of 4 demographic characteristics, all 3 career commitment subscales, and all 3 career entrenchment subscales were significantly associated with at least 1 of the professional identity subscales. Implications for research and practice are discussed

A genetic screen based on in vivo RNA imaging reveals centrosome-independent mechanisms for localizing gurken transcripts in Drosophila

We have screened chromosome arm 3L for ethyl methanesulfonate-induced mutations that disrupt localization of fluorescently labeled gurken (grk) messenger (m)RNA, whose transport along microtubules establishes both major body axes of the developing Drosophila oocyte. Rapid identification of causative mutations by single-nucleotide polymorphism recombinational mapping and whole-genomic sequencing allowed us to define nine complementation groups affecting grk mRNA localization and other aspects of oogenesis, including alleles of elg1, scaf6, quemao, nudE, Tsc2/gigas, rasp, and Chd5/Wrb, and several null alleles of the armitage Piwi-pathway gene. Analysis of a newly induced kinesin light chain allele shows that kinesin motor activity is required for both efficient grk mRNA localization and oocyte centrosome integrity. We also show that initiation of the dorsoanterior localization of grk mRNA precedes centrosome localization, suggesting that microtubule self-organization contributes to breaking axial symmetry to generate a unique dorsoventral axis

Spinal cord vascular degeneration impairs duloxetine penetration

Introduction: Chronic pain is a prevalent physically debilitating health-related morbidity. Frontline analgesics are inadequate, providing only partial pain relief in only a proportion of the patient cohort. Here, we explore whether alterations in spinal cord vascular perfusion are a factor in reducing the analgesic capability of the noradrenaline reuptake inhibitor, duloxetine. Method: An established rodent model of spinal cord vascular degeneration was used. Endothelial-specific vascular endothelial growth factor receptor 2 knockout mouse was induced via hydroxytamoxifen administered via intrathecal injection. Duloxetine was administered via intraperitoneal injection, and nociceptive behavioural testing was performed in both WT and VEGFR2KO mice. LC-MS/MS was performed to explore the accumulation of duloxetine in the spinal cord in WT and VEGFR2KO mice. Results: Spinal cord vascular degeneration leads to heat hypersensitivity and a decline in capillary perfusion. The integrity of noradrenergic projections (dopa - hydroxylase labelled) in the dorsal horn remained unaltered in WT and VEGFR2KO mice. There was an association between dorsal horn blood flow with the abundance of accumulated duloxetine in the spinal cord and analgesic capacity. In VEGFR2KO mice, the abundance of duloxetine in the lumbar spinal cord was reduced and was correlated with reduced anti-nociceptive capability of duloxetine. Discussion: Here, we show that an impaired vascular network in the spinal cord impairs the anti-nociceptive action of duloxetine. This highlights that the spinal cord vascular network is crucial to maintaining the efficacy of analgesics to provide pain relief

Socialization to student affairs: Early career experiences associated with professional identity development

In this study, the authors propose and test a model of professional identity development among early career student affairs professionals. Using survey data from 173 new professionals (0-5 years of experience), factor analysis revealed three dimensions of professional identity: commitment, values congruence, and intellectual investment. Multivariate analyses found significant associations of age, master’s program characteristics, and influential people and experiences (e.g., interactions with professional colleagues and associations) with the dimensions of professional identity. Findings indicated key socialization experiences during and after graduate school were associated with the development of professional identity. We conclude with recommendations for practice and research

Development of Professional Identity Through Socialization in Graduate School

Professional identity is one outcome of successful socialization. The purpose of this study was to understand how socialization in graduate programs contributes to the development of professional identity for new professionals in student affairs. Via survey, we found significant relationships between program qualities, standards, activities, and experiences and measures of professional identity. Out-of-class experiences were perceived to have a strong influence than in-class experiences. Implications for graduate preparation programs and supervisors are discussed

Using Head, Heart and Hands to (De)construct Community Development in Tijuana, Mexico

Short-term international service-learning immersions can provide accessible ways for students to experience other countries and cultures, creating the possibility for development of the whole person in a global context. These programs often involve the physical labor of students, through building houses, serving food to migrants, and the like. As Peter-Hans Kolvenbach, S.J. has observed, such service can be valued by the recipient community and for the participating student, and can challenge the mind to change. But how can such programs increase their value proposition in support of the organization’s mission? In other words, how might we employ minds as well as hands and hearts in other ways that promote justice work? This article describes an immersion program, academic course, and community-based research effort forged over a 25-year relationship between Seattle University and Esperanza, a non-governmental organization that focuses on community development, micro finance, and affordable housing in Tijuana, Mexico. Using the Ignatian pedagogical paradigm, a constellation of stakeholders—faculty, staff, students, and community partners—reflect on the partnership and the enhancements to a long-standing collaborative effort. Lessons learned are offered. Ultimately, we conclude that long-term reciprocal benefits can be achieved while also inviting participants to deepen their aspirations for social change in a global context

Constructing facial identity surfaces in a nonlinear discriminating space

Recognising face with large pose variation is more challenging than that in a fixed view, e.g. frontal-view, due to the severe non-linearity caused by rotation in depth, self-shading and self-occlusion. To address this problem, a multi-view dynamic face model is designed to extract the shape-and-pose-free facial texture patterns from multi-view face images. Kernel Discriminant Analysis is developed to extract the significant non-linear discriminating features which maximise the between-class variance and minimise the within-class variance. By using the kernel technique, this process is equivalent to a Linear Discriminant Analysis in a high-dimensional feature space which can be solved conveniently. The identity surfaces are then constructed from these non-linear discriminating features. Face recognition can be performed dynamically from an image sequence by matching an object trajectory and model trajectories on the identity surfaces