Low back pain in Hispanic residential carpenters

Low back pain (LBP) is a leading cause of lost work time and has been recognized as America’s number one workplace safety challenge. Low back pain is occurring at epidemic proportions among construction workers, and minority populations have been under-investigated for risk of back injury. This project investigated the multiple potential risk factors for occupational LBP among Hispanic residential carpenters

Improving the Student Experience to Broaden Participation in Electrical, Computer and Software Engineering

This Innovative Practice Full Paper presents a student experience model being implemented in the Electrical and Computer Engineering (ECE) Department at Iowa State University. The department has been implementing, adapting and enhancing a student experience model as part of a scholarship program designed to support and increase the success of students from underrepresented groups in the fields of electrical, computer, software, and cyber security engineering, including community college transfer students. The student experience model uses evidence-based practices focused on professional and leadership development. Interventions include a weekly seminar; group activities such as outreach projects and volunteering; conference participation; faculty and peer mentoring; academic and social support; and collaborative activities with diversity programs, learning communities, student organizations, and companies. Feedback from students and input from peer mentors have been used to improve programming with an emphasis on sense of belonging, professional development, supportive community, leadership, and holistic well-being. In addition, due in part to various entry points into the model, the wide variety of student backgrounds, needs and experiences has been illuminated. This has helped the department and faculty become more aware of issues and consider new models and structures. This paper provides an overview of the student experience model and outcomes, including a summary of research results

The California Cognitive Assessment Battery (CCAB).

INTRODUCTION: We are developing the California Cognitive Assessment Battery (CCAB) to provide neuropsychological assessments to patients who lack test access due to cost, capacity, mobility, and transportation barriers. METHODS: The CCAB consists of 15 non-verbal and 17 verbal subtests normed for telemedical assessment. The CCAB runs on calibrated tablet computers over cellular or Wi-Fi connections either in a laboratory or in participants homes. Spoken instructions and verbal stimuli are delivered through headphones using naturalistic text-to-speech voices. Verbal responses are scored in real time and recorded and transcribed offline using consensus automatic speech recognition which combines the transcripts from seven commercial ASR engines to produce timestamped transcripts more accurate than those of any single ASR engine. The CCAB is designed for supervised self-administration using a web-browser application, the Examiner. The Examiner permits examiners to record observations, view subtest performance in real time, initiate video chats, and correct potential error conditions (e.g., training and performance failures, etc.,) for multiple participants concurrently. RESULTS: Here we describe (1) CCAB usability with older (ages 50 to 89) participants; (2) CCAB psychometric properties based on normative data from 415 older participants; (3) Comparisons of the results of at-home vs. in-lab CCAB testing; (4) We also present preliminary analyses of the effects of COVID-19 infection on performance. Mean z-scores averaged over CCAB subtests showed impaired performance of COVID+ compared to COVID- participants after factoring out the contributions of Age, Education, and Gender (AEG). However, inter-cohort differences were no longer significant when performance was analyzed with a comprehensive model that factored out the influences of additional pre-existing demographic factors that distinguished COVID+ and COVID- cohorts (e.g., vocabulary, depression, race, etc.,). In contrast, unlike AEG scores, comprehensive scores correlated significantly with the severity of COVID infection. (5) Finally, we found that scoring models influenced the classification of individual participants with Mild Cognitive Impairment (MCI, z-scores < -1.50) where the comprehensive model accounted for more than twice as much variance as the AEG model and reduced racial bias in MCI classification. DISCUSSION: The CCAB holds the promise of providing scalable laboratory-quality neurodiagnostic assessments to underserved urban, exurban, and rural populations

Prediction Markets in Theory and Practice

Prediction Markets, sometimes referred to as information markets, idea futures or event futures, are markets where participants trade contracts whose payoffs are tied to a future event, thereby yielding prices that can be interpreted as market-aggregated forecasts. This article summarizes the recent literature on prediction markets, highlighting both theoretical contributions that emphasize the possibility that these markets efficiently aggregate disperse information, and the lessons from empirical applications which show that market-generated forecasts typically outperform most moderately sophisticated benchmarks. Along the way, we highlight areas ripe for future research

Proceedings of the Third Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies

The proceedings of the 3rd Annual Deep Brain Stimulation Think Tank summarize the most contemporary clinical, electrophysiological, imaging, and computational work on DBS for the treatment of neurological and neuropsychiatric disease. Significant innovations of the past year are emphasized. The Think Tank\u27s contributors represent a unique multidisciplinary ensemble of expert neurologists, neurosurgeons, neuropsychologists, psychiatrists, scientists, engineers, and members of industry. Presentations and discussions covered a broad range of topics, including policy and advocacy considerations for the future of DBS, connectomic approaches to DBS targeting, developments in electrophysiology and related strides toward responsive DBS systems, and recent developments in sensor and device technologies

Применение препарата пелокс-400 (пефлоксацин) в лечении острого пиелонефрита

Дана оценка эффективности применения антибактериального препарата пелокс−400 (пефлоксацин) в лечении острого пиелонефрита и рекомендовано его применение в комплексной терапии.The authors assess the efficacy of antibacterial medication рelox−400 (pefloxacin) in treatment of acute pyelonephritis. It is recommended to use it in complex therapy

Potential Associations between Severity of Infection and the Presence of Virulence-Associated Genes in Clinical Strains of Staphylococcus aureus

BACKGROUND: The clinical spectrum of Staphylococcus aureus infection ranges from asymptomatic nasal carriage to osteomyelitis, infective endocarditis (IE) and death. In this study, we evaluate potential association between the presence of specific genes in a collection of prospectively characterized S. aureus clinical isolates and clinical outcome. METHODOLOGY/PRINCIPAL FINDINGS: Two hundred thirty-nine S. aureus isolates (121 methicillin-resistant S. aureus [MRSA] and 118 methicillin-susceptible S. aureus [MSSA]) were screened by array comparative genomic hybridization (aCGH) to identify genes implicated in complicated infections. After adjustment for multiple tests, 226 genes were significantly associated with severity of infection. Of these 226 genes, 185 were not in the SCCmec element. Within the 185 non-SCCmec genes, 171 were less common and 14 more common in the complicated infection group. Among the 41 genes in the SCCmec element, 37 were more common and 4 were less common in the complicated group. A total of 51 of the 2014 sequences evaluated, 14 non-SCCmec and 37 SCCmec, were identified as genes of interest. CONCLUSIONS/SIGNIFICANCE: Of the 171 genes less common in complicated infections, 152 are of unknown function and may contribute to attenuation of virulence. The 14 non-SCCmec genes more common in complicated infections include bacteriophage-encoded genes such as regulatory factors and autolysins with potential roles in tissue adhesion or biofilm formation