Maximize use of library electronic resources to help students achieve better board examination scores through LibGuides and collaboration with a pharmacy educational specialist

Background The library subscribes to many e-textbooks and Q-bank tools to facilitate pharmacy students’ preparation of North American Pharmacist Licensure Examination (NAPLEX). Because these resources are included in various subscription packages, making them discoverable and easily accessible are important to make best use of library resources. This poster will discuss how to promote NAPLEX resources using LibGuides and deliver the specially designed quiz assignments to the students at the point of preparation and the collaboration between a librarian and pharmacy educational specialist. Description Resources the library subscribes for NAPLEX preparation were selected, organized, and displayed based on faculty recommendation, students\u27 feedback, and LibGuides best practices tips. Students can choose online Q-bank questions for practice by topics, pharmacy education competencies, disorders, etc. from this one-stop-shopping NAPLEX preparation LibGuides page. To further promote the use of library resources and increase students’ examination scores, the educational specialist identified a variety of pharmacy education competencies under NAPLEX Blueprint and created assignments that would align with these competencies for P4 students. The assignment, including 10-15 quiz questions selected from NAPLEX resources, was distributed to a student group prior to board examination. Each week students would receive and conduct a new-competency-based assignment, review correct answers with rationale and get feedback on their performance. Conclusion The team collaboration plays a key role to ensure fast access to core NAPLEX resources and systematic delivery of Q-bank questions to students at the point of preparation, and thus advanced the usage of library resources and led to greater student success

Cofilin Activation in Peripheral CD4 T Cells of HIV-1 Infected Patients: A Pilot Study

Cofilin is an actin-depolymerizing factor that regulates actin dynamics critical for T cell migration and T cell activation. In unstimulated resting CD4 T cells, cofilin exists largely as a phosphorylated inactive form. Previously, we demonstrated that during HIV-1 infection of resting CD4 T cells, the viral envelope-CXCR4 signaling activates cofilin to overcome the static cortical actin restriction. In this pilot study, we have extended this in vitro observation and examined cofilin phosphorylation in resting CD4 T cells purified from the peripheral blood of HIV-1-infected patients. Here, we report that the resting T cells from infected patients carry significantly higher levels of active cofilin, suggesting that these resting cells have been primed in vivo in cofilin activity to facilitate HIV-1 infection. HIV-1-mediated aberrant activation of cofilin may also lead to abnormalities in T cell migration and activation that could contribute to viral pathogenesis.Department of Defense (National Defense Science and Engineering Fellowship); National Institute of Allergy and Infectious Diseases (AI069981

Learning Needs Assessment and Preferred Instructional Methods among Nurses Participating in Continuous Professional Education.

INTRODUCTION: Globally, the concept of continuing professional education (CPE) has been acknowledged by all professionals as a primary method for regular enhancement of basic professional education. In the clinical sector, when providing in service programs, learning needs assessment provides the basis for the design of effective educational programs. The purpose of the study was to examine the learning needs and preferred instructional method among nurses. Also, the significant difference of professional development learning needs, clinical skills learning needs and instructional method was measured in relations to sex and years of clinical experience. METHOD: The study utilized descriptive research design. Convenient sampling was used to sample 120 nurses from selected hospitals in Laguna. A self constructed questionnaires were used as the instruments of the study. The statistical treatment used were mean, standard deviation, t-test, and ANOVA. RESULTS: The study showed that highest priority of learning needs in terms of professional development was stress management. Emergency management was the highest priority perceived by the nurses in terms of clinical skills. The learning method most preferred by the nurses was the use of lectures. There was no significant difference in terms of professional development learning needs, clinical skills learning needs and instructional method when considering sex and years of clinical experience. DISCUSSIONS AND RECOMMENDATION: The study recommends the nurse educator and managers of the selected hospitals to utilize learning needs assessment results to implement educational programs. It is further recommended that learning needs assessment should be an ongoing process involving other professional and clinical topics to promote better quality service

Performance of p16INK4a ELISA as a primary cervical cancer screening test among a large cohort of HIV-infected women in western Kenya: a 2-year cross-sectional study.

ObjectiveA biomarker with increased specificity for cervical dysplasia compared with human papillomavirus (HPV) testing would be an attractive option for cervical cancer screening among HIV-infected women in resource-limited settings. p16(INK4a) has been explored as a biomarker for screening in general populations.DesignA 2-year cross-sectional study.Setting2 large HIV primary care clinics in western Kenya.Participants1054 HIV-infected women in western Kenya undergoing cervical cancer screening as part of routine HIV care from October 2010 to November 2012.InterventionsParticipants underwent p16(INK4a) specimen collection and colposcopy. Lesions with unsatisfactory colposcopy or suspicious for cervical intraepithelial neoplasia 2+ (CIN2+; including CIN2/3 or invasive cervical cancer) were biopsied. Following biopsy, disease status was determined by histopathological diagnosis.Primary and secondary outcome measuresWe measured the sensitivity, specificity and predictive values of p16(INK4a) ELISA for CIN2+ detection among HIV-infected women and compared them to the test characteristics of current screening methods used in general as well as HIV-infected populations.ResultsAverage p16(INK4a) concentration in cervical samples was 37.4 U/mL. After colposcopically directed biopsy, 127 (12%) women were determined to have CIN2+. Receiver operating characteristic analysis showed an area under the curve of 0.664 for p16(INK4a) to detect biopsy-proven CIN2+. At a p16(INK4a) cut-off level of 9 U/mL, sensitivity, specificity, positive and negative predictive values were 89.0%, 22.9%, 13.6% and 93.8%, respectively. The overall p16(INK4a) positivity at a cut-off level of 9 U/mL was 828 (78.6%) women. There were 325 (30.8%) cases of correct p16(INK4a) prediction to detect or rule out CIN2+, and 729 (69.2%) cases of incorrect p16(INK4a) prediction.Conclusionsp16(INK4a) ELISA did not perform well as a screening test for CIN2+ detection among HIV-infected women due to low specificity. Our study contributes to the ongoing search for a more specific alternative to HPV testing for CIN2+ detection

Forming Digital Workspace: Current State and Applications of Extended Reality in Virtual Teams

Extended reality (XR) has been widely applied as an umbrella term encompassing virtual reality, augmented reality, and mixed reality. Despite extensive research on XR applications in various contexts, little attention has been drawn to its utilization in work scenarios, particularly in virtual teams. This study is a systematic literature review of virtual teams utilizing XR in the digital workspace, incorporating related articles from four scientific databases over the past decade. The review focuses on two aspects: the current state of XR implementation in virtual teams and how technology addresses the digital collaborative process. Findings highlight team types, application areas, collaboration modes, and key actions associated with XR usage. A theoretical gap is revealed, as previous studies focus on either the technological aspects of XR or its outcomes. Additionally, this study proposes a model to illustrate how XR technologies empower virtual teams, providing valuable insight for organizations regarding its potential usage

Emerging Methods to Objectively Assess Pruritus in Atopic Dermatitis.

INTRODUCTION:Atopic dermatitis (AD) is an inflammatory skin disease with a chronic, relapsing course. Clinical features of AD vary by age, duration, and severity but can include papules, vesicles, erythema, exudate, xerosis, scaling, and lichenification. However, the most defining and universal symptom of AD is pruritus. Pruritus or itch, defined as an unpleasant urge to scratch, is problematic for many reasons, particularly its negative impact on quality of life. Despite the profoundly negative impact of pruritus on patients with AD, clinicians and researchers lack standardized and validated methods to objectively measure pruritus. The purpose of this review is to discuss emerging methods to assess pruritus in AD by describing objective patient-centered tools developed or enhanced over the last decade that can be utilized by clinicians and researchers alike. METHODS:This review is based on a literature search in Medline, Embase, and Web of Science databases. The search was performed in February 2019. The keywords were used "pruritus," "itch," "atopic dermatitis," "eczema," "measurements," "tools," "instruments," "accelerometer," "wrist actigraphy," "smartwatch," "transducer," "vibration," "brain mapping," "magnetic resonance imaging," and "positron emission tomography." Only articles written in English were included, and no restrictions were set on study type. To focus on emerging methods, prioritization was given to results from the last decade (2009-2019). RESULTS:The search yielded 49 results in PubMed, 134 results in Embase, and 85 results in Web of Science. Each result was independently reviewed in a standardized manner by two of the authors (M.S., K.L.), and disagreements between reviewers were resolved by consensus. Relevant findings were categorized into the following sections: video surveillance, acoustic surveillance, wrist actigraphy, smart devices, vibration transducers, and neurological imaging. Examples are provided along with descriptions of how each technology works, instances of use in research or clinical practice, and as applicable, reports of validation studies and correlation with other methods. CONCLUSION:The variety of new and improved methods to evaluate pruritus in AD is welcomed by clinicians, researchers, and patients alike. Future directions include next-generation smart devices as well as exploring new territories, such as identifying biomarkers that correlate to itch and machine-learning programs to identify itch processing in the brain. As these efforts continue, it will be essential to remain patient-centered by developing techniques that minimize discomfort, respect privacy, and provide accurate data that can be used to better manage itch in AD

Performance in Sharing Economy: Evidence from Room-Sharing Service

Under the rapid development of sharing economy, performance is important for the prosperity of this innovative commercial model. However, the performance in sharing economy is less discussed in the academic field. Revenue and occupancy rate are widely applied as two ideal measures of performance in hospitality market. This study tries to fill the research gaps with both two measurements. Based on cue utilization theory, we explored the influence of listing cues and host cues on performance of listings and hosts in a representative Chinese room-sharing platform--XiaoZhu.com. The findings indicate that both listing and host cues have significant effects on performance. It’s expected that this study discusses a number of implications and makes contributions for researchers and practitioners

Ego-Body Pose Estimation via Ego-Head Pose Estimation

Estimating 3D human motion from an egocentric video sequence is critical to human behavior understanding and applications in VR/AR. However, naively learning a mapping between egocentric videos and human motions is challenging, because the user's body is often unobserved by the front-facing camera placed on the head of the user. In addition, collecting large-scale, high-quality datasets with paired egocentric videos and 3D human motions requires accurate motion capture devices, which often limit the variety of scenes in the videos to lab-like environments. To eliminate the need for paired egocentric video and human motions, we propose a new method, Ego-Body Pose Estimation via Ego-Head Pose Estimation (EgoEgo), that decomposes the problem into two stages, connected by the head motion as an intermediate representation. EgoEgo first integrates SLAM and a learning approach to estimate accurate head motion. Then, taking the estimated head pose as input, it leverages conditional diffusion to generate multiple plausible full-body motions. This disentanglement of head and body pose eliminates the need for training datasets with paired egocentric videos and 3D human motion, enabling us to leverage large-scale egocentric video datasets and motion capture datasets separately. Moreover, for systematic benchmarking, we develop a synthetic dataset, AMASS-Replica-Ego-Syn (ARES), with paired egocentric videos and human motion. On both ARES and real data, our EgoEgo model performs significantly better than the state-of-the-art.Comment: project website: https://lijiaman.github.io/projects/egoego

Object Motion Guided Human Motion Synthesis

Modeling human behaviors in contextual environments has a wide range of applications in character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans frequently interact with the environment and manipulate various objects to complete daily tasks. In this work, we study the problem of full-body human motion synthesis for the manipulation of large-sized objects. We propose Object MOtion guided human MOtion synthesis (OMOMO), a conditional diffusion framework that can generate full-body manipulation behaviors from only the object motion. Since naively applying diffusion models fails to precisely enforce contact constraints between the hands and the object, OMOMO learns two separate denoising processes to first predict hand positions from object motion and subsequently synthesize full-body poses based on the predicted hand positions. By employing the hand positions as an intermediate representation between the two denoising processes, we can explicitly enforce contact constraints, resulting in more physically plausible manipulation motions. With the learned model, we develop a novel system that captures full-body human manipulation motions by simply attaching a smartphone to the object being manipulated. Through extensive experiments, we demonstrate the effectiveness of our proposed pipeline and its ability to generalize to unseen objects. Additionally, as high-quality human-object interaction datasets are scarce, we collect a large-scale dataset consisting of 3D object geometry, object motion, and human motion. Our dataset contains human-object interaction motion for 15 objects, with a total duration of approximately 10 hours.Comment: SIGGRAPH Asia 202