731 research outputs found
Social Work Practitioners and Technology Transfer
The application of new skills and interventions into the practice community is often slow and haphazard. A coaching intervention is proposed to augment traditional social work education techniques and maximize the integration of new knowledge into social work practice. This coaching model includes assessment of a practitioner\u27s readiness for change, stage-wise coaching interventions, assessment of organizational barriers to the transfer of new information, and development of strategies to address these barriers. Implications for social work professionals development and future research are discussed
Youths\u27 Perspectives on the Reasons Underlying School Truancy and Opportunities to Improve School Attendance
School truancy is common in the United States; however, youthsâ perspectives on the underlying reasons for and the best ways to curtail this phenomenon are lacking. This project sought to better understand what factors contribute to youthsâ decisions to skip classes or ditch full days of school over time and to solicit youthsâ recommendations on how to reduce truancy and improve system functioning. We used a community partnered qualitative descriptive approach to conduct in-depth interviews with 39 youths with a history of truancy from South and East Los Angeles. Youthsâ experiences and recommendations illustrate the multiple factors that influence school truancy and suggest potential leverage points for reducing truancy, including modifications to the school environment to increase student engagement; a more effective school response to address truancy; and further involvement and engagement of parents. Researchers, policy makers, and school practitioners can use results to help inform efforts to address school truancy
Combining like Terms: A qualitative meta-synthesis of algebra i interventions in mathematics and special education
© 2020 International Journal of Education in Mathematics, Science and Technology. All rights reserved. Many students struggle with the transition from arithmetic to algebra. Despite meta-analytic work on algebra instruction and calls for meta-syntheses of mathematics education topics, little has been done to synthesize the corpus of qualitative mathematics education research in algebra. The purpose of this meta-synthesis is to summarize the techniques teachers use to elicit algebraic thinking from students with mathematics difficulty or disability in the mathematics and special education literature. Although both mathematics and special educators used student-centered and collaborative techniques to encourage students to share algebraic reasoning, students with mathematics difficulty and disability struggled to participate meaningfully, and directions for further critical work in algebra are specified
An estimate of the electron density in filaments of galaxies at z~0.1
Most of the baryons in the Universe are thought to be contained within
filaments of galaxies, but as yet, no single study has published the observed
properties of a large sample of known filaments to determine typical physical
characteristics such as temperature and electron density. This paper presents a
comprehensive large-scale search conducted for X-ray emission from a population
of 41 bona fide filaments of galaxies to determine their X-ray flux and
electron density. The sample is generated from Pimbblet et al.'s (2004)
filament catalogue, which is in turn sourced from the 2 degree Field Galaxy
Redshift Survey (2dFGRS). Since the filaments are expected to be very faint and
of very low density, we used stacked ROSAT All-Sky Survey data. We detect a net
surface brightness from our sample of filaments of (1.6 +/- 0.1) x 10^{-14} erg
cm^{-2} s^{-1} arcmin^{-2} in the 0.9-1.3 keV energy band for 1 keV plasma,
which implies an electron density of n_{e} = (4.7 +/- 0.2) x 10^{-4}
h_{100}^{1/2} cm^{-3}. Finally, we examine if a filament's membership to a
supercluster leads to an enhanced electron density as reported by Kull &
Bohringer (1999). We suggest it remains unclear if supercluster membership
causes such an enhancement.Comment: Accepted for publication in MNRAS. v2: typos correcte
Immune Cell Abundance and T-cell Receptor Landscapes Suggest New Patient Stratification Strategies in Head and Neck Squamous Cell Carcinoma
Head and neck squamous cell carcinoma (HNSCC) is a molecularly and spatially heterogeneous disease frequently characterized by impairment of immunosurveillance mechanisms. Despite recent success with immunotherapy treatment, disease progression still occurs quickly after treatment in the majority of cases, suggesting the need to improve patient selection strategies. In the quest for biomarkers that may help inform response to checkpoint blockade, we characterized the tumor microenvironment (TME) of 162 HNSCC primary tumors of diverse etiologic and spatial origin, through gene expression and IHC profiling of relevant immune proteins, T-cell receptor (TCR) repertoire analysis, and whole-exome sequencing. We identified five HNSCC TME categories based on immune/stromal composition: (i) cytotoxic, (ii) plasma cell rich, (iii) dendritic cell rich, (iv) macrophage rich, and (v) immune-excluded. Remarkably, the cytotoxic and plasma cell rich subgroups exhibited a phenotype similar to tertiary lymphoid structures (TLS), which have been previously linked to immunotherapy response. We also found an increased richness of the TCR repertoire in these two subgroups and in never smokers. Mutational patterns evidencing APOBEC activity were enriched in the plasma cell high subgroup. Furthermore, specific signal propagation patterns within the Ras/ERK and PI3K/AKT pathways associated with distinct immune phenotypes. While traditionally CD8/CD3 T-cell infiltration and immune checkpoint expression (e.g., PD-L1) have been used in the patient selection process for checkpoint blockade treatment, we suggest that additional biomarkers, such as TCR productive clonality, smoking history, and TLS index, may have the ability to pull out potential responders to benefit from immunotherapeutic agents.
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Significance:
Here we present our findings on the genomic and immune landscape of primary disease in a cohort of 162 patients with HNSCC, benefitting from detailed molecular and clinical characterization. By employing whole-exome sequencing and gene expression analysis of relevant immune markers, TCR profiling, and staining of relevant proteins involved in immune response, we highlight how distinct etiologies, cell intrinsic, and environmental factors combine to shape the landscape of HNSCC primary disease
Assessment of F/HN-Pseudotyped Lentivirus as a Clinically Relevant Vector for Lung Gene Therapy
RATIONALE: Ongoing efforts to improve pulmonary gene transfer thereby enabling gene therapy for the treatment of lung diseases, such as cystic fibrosis (CF), has led to the assessment of a lentiviral vector (simian immunodeficiency virus [SIV]) pseudotyped with the Sendai virus envelope proteins F and HN. OBJECTIVES: To place this vector onto a translational pathway to the clinic by addressing some key milestones that have to be achieved. METHODS: F/HN-SIV transduction efficiency, duration of expression, and toxicity were assessed in mice. In addition, F/HN-SIV was assessed in differentiated human air-liquid interface cultures, primary human nasal epithelial cells, and human and sheep lung slices. MEASUREMENTS AND MAIN RESULTS: A single dose produces lung expression for the lifetime of the mouse (~2 yr). Only brief contact time is needed to achieve transduction. Repeated daily administration leads to a dose-related increase in gene expression. Repeated monthly administration to mouse lower airways is feasible without loss of gene expression. There is no evidence of chronic toxicity during a 2-year study period. F/HN-SIV leads to persistent gene expression in human differentiated airway cultures and human lung slices and transduces freshly obtained primary human airway epithelial cells. CONCLUSIONS: The data support F/HN-pseudotyped SIV as a promising vector for pulmonary gene therapy for several diseases including CF. We are now undertaking the necessary refinements to progress this vector into clinical trials
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Phenotypic spectrum and transcriptomic profile associated with germline variants in TRAF7
Purpose: Somatic variants in tumor necrosis factor receptor-associated factor 7 (TRAF7) cause meningioma, while germline variants have recently been identified in seven patients with developmental delay and cardiac, facial, and digital anomalies. We aimed to define the clinical and mutational spectrum associated with TRAF7 germline variants in a large series of patients, and to determine the molecular effects of the variants through transcriptomic analysis of patient fibroblasts. Methods: We performed exwct ome, targeted capture, and Sanger sequencing of patients with undiagnosed developmental disorders, in multiple independent diagnostic or research centers. Phenotypic and mutational comparisons were facilitated through data exchange platforms. Whole-transcriptome sequencing was performed on RNA from patient- and control-derived fibroblasts. Results: We identified heterozygous missense variants in TRAF7 as the cause of a developmental delay-malformation syndrome in 45 patients. Major features include a recognizable facial gestalt (characterized in particular by blepharophimosis), short neck, pectus carinatum, digital deviations, and patent ductus arteriosus. Almost all variants occur in the WD40 repeats and most are recurrent. Several differentially expressed genes were identified in patient fibroblasts. Conclusion: We provide the first large-scale analysis of the clinical and mutational spectrum associated with the TRAF7 developmental syndrome, and we shed light on its molecular etiology through transcriptome studies
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