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In a time of record polarization and the questioning of the value of higher education, the internship plays an important and positive role in developing the civic minded graduate. Utilizing best practices in experiential education, an internship nurtures important civic skills in students and an orientation towards the common good. Through focus groups and surveys, our three-year research project found that internship sites and supervisors are integral partners in nurturing a student's ability to engage their communities. An internship, as an incubator for civic skills, is a valuable educational contribution to society.

Precision pharmacology aims to manipulate specific cellular interactions within complex tissues. In this pursuit, we introduce DART.2 (drug acutely restricted by tethering), a second-generation cell-specific pharmacology technology. The core advance is optimized cellular specificity-up to 3,000-fold in 15 min-enabling the targeted delivery of even epileptogenic drugs without off-target effects. Additionally, we introduce brain-wide dosing methods as an alternative to local cannulation and tracer reagents for brain-wide dose quantification. We describe four pharmaceuticals-two that antagonize excitatory and inhibitory postsynaptic receptors, and two that allosterically potentiate these receptors. Their versatility is showcased across multiple mouse-brain regions, including cerebellum, striatum, visual cortex and retina. Finally, in the ventral tegmental area, we find that blocking inhibitory inputs to dopamine neurons accelerates locomotion, contrasting with previous optogenetic and pharmacological findings. Beyond enabling the bidirectional perturbation of chemical synapses, these reagents offer intersectional precision-between genetically defined postsynaptic cells and neurotransmitter-defined presynaptic partners.

We assess the underlying topics, sentiment, and types of information regarding COVID-19 vaccines cycling through Twitter during the initiation of the vaccine rollout. Once tweets about COVID-19 vaccine posted between 1 December 2020 and 28 February 2021 were collected and preprocessed, they were categorized as either relevant or irrelevant by a classifier trained by the research team. Latent Dirichlet Allocation was used to discover the topics of discussion in the relevant tweets. The NRC lexicon was used to quantify positive and negative sentiment found in the tweets. The types of information (information, misinformation, opinion, or question) in positive and negative sentiment tweets were assessed and distributions were compared. A total of 1,386,390 tweets were collected, out of which 210,657 relevant tweets were identified by the relevancy classifier. Eight topics provided the best representation of the corpus of relevant tweets. Tweets with a negative sentiment were associated with a higher percentage of misinformation whereas tweets with positive sentiment showed a higher percentage of information, opinions, and questions. The proliferation of information and misinformation on social media platforms is associated with building public trust and mitigating negative sentiment associated with COVID-19 vaccines.

Abstract A key strategy for minimizing our reliance on precious metals is to increase the fraction of surface atoms and improve the metal-support interface. In this work, we employ a solvent/ligand/counterion-free method to deposit copper in the atomic form directly onto a nanotextured surface of graphitized carbon nanofibers (GNFs). Our results demonstrate that under these conditions, copper atoms coalesce into nanoparticles securely anchored to the graphitic step edges, limiting their growth to 2–5 nm. The resultant hybrid Cu/GNF material displays high selectivity in the CO2 reduction reaction (CO2RR) for formate production with a faradaic efficiency of ~94% at -0.38 V vs RHE and a high turnover frequency of 2.78 × 106 h-1. The Cu nanoparticles adhered to the graphitic step edges significantly enhance electron transfer to CO2. Long-term CO2RR tests coupled with atomic-scale elucidation of changes in Cu/GNF reveal nanoparticles coarsening, and a simultaneous increase in the fraction of single Cu atoms. These changes in the catalyst structure make the onset of the CO2 reduction potential more negative, leading to less formate production at -0.38 V vs RHE, correlating with a less efficient competition of CO2 with H2O for adsorption on single Cu atoms on the graphitic surfaces, revealed by density functional theory calculations.

Power relations operate in any educational setting, and there may be particular vulnerabilities in a tradition conducted in the relative isolation of the music teaching studio. These vulnerabilities have been highlighted dramatically in recent years through high-profile cases of power abuse, but power is implicated in a wide range of contexts related to the studio, including cultural, gendered, pedagogical, artistic, institutional and interpersonal issues. It may be impossible to divest power of its negative connotations, but there is a good deal of theory focused on power, even if its terms are broadly political or philosophical, and subject to debate. This theoretical paper explores power relations with regard to the music studio, investigating popular conceptions and everyday usage before turning to scholarship focused on interpersonal and broader social perspectives. Some reflections are offered on the uses and abuses of power in the studio. A better understanding of its dimensions and usage can support the ongoing development of studio practices and contribute to the conversation that we need to have about power.

The purpose of this study is to explore the life and work of Pierre Sancan (1916-2008), an exemplary piano teacher who, like many masters in the apprenticeship tradition, is chiefly remembered today by his pupils alone. An all-round musician, Sancan had early success as a composer when he won the Prix de Rome in 1943, and enjoyed a flourishing career in solo and ensemble piano performance. His applied studio practices were based on the French school but extended beyond it by drawing on Russian approaches to technique, a study of anatomy, and the influence of jazz improvisation. However, at the height of his creative career, hailed as 'one of the biggest names in French music today', Sancan became professor of piano at the Paris Conservatoire, increasingly devoting his expertise and energies to the musical lives of his pupils and influencing generations of pianists and piano teachers around the world. In this study, Sancan's musical career is examined through archival material including institutional documents, interviews and personal memorabilia, alongside an interview and survey study with former pupils including Jean-Philippe Collard and Jean-Efflam Bavouzet.

This perspective article discusses how a health-related learning community was incorporated to help freshman students learn about health and wellness and prevent weight gain at an HBCU. Freshman students often gain weight during their first year away from home. These students make poor diet and exercise choices during their transition to college which can cause future health concerns. A health-related learning community, LIVE WELL, was established to teach health, nutrition, and wellness strategies. LIVE WELL also included self-care, future career exploration, service-learning/civic engagement, and lifetime learning experiences. Valuable lessons were learned from the faculty members who managed LIVE WELL. Challenges were presented to the faculty members who integrated solutions into the learning community. Integrating positive health changes to freshman students' lifestyles needs to be a priority and needs further exploration.

Photography is an increasingly ubiquitous part of everyday life. We think little of snapping a picture of a delicious meal to send to a distant friend, lifting our cameras high [...]

Cellular therapies exhibit immense potential in treating complex diseases with sustained responses. The manufacture of cell therapies involves the purification and engineering of specific cells from a donor or patient to achieve a therapeutic response upon injection. Magnetic cell sorting targeting the presence or absence of surface markers is commonly used for upfront purification. However, emerging research shows that optimal therapeutic phenotypes are characterized not only by the presence or absence of specific antigens but also by antigen density. Unfortunately, current cell purification tools like magnetic or fluorescence-activated cell sorting (FACS) lack the resolution to differentiate populations based on antigen density while maintaining scalability. Utilizing a technique known as digital magnetic sorting (DMS), we demonstrate proof of concept for a scalable, magnetic-based approach to fractionate cell populations based on antigen density level. Targeting CD4 on human leukocytes, DMS demonstrated fractionation into CD4Hi T cells and CD4Low monocytes and neutrophils as quantified by flow cytometry and single-cell RNA seq. DMS also demonstrated high throughput processing at throughputs 3–10× faster than FACS. We believe DMS can be leveraged and scaled to enable antigen density-based sorting in cell therapy manufacturing, leading to the production of more potent and sustainable cellular therapies.

As bloodstream infections and associated septic shock are common causes of mortality in hospitals, rapid antibiotic susceptibility testing (AST) performed directly on positive blood cultures is needed to implement an efficient therapy in clinical settings. We evaluated the Reveal® rapid AST system on a collection of 197 fully characterized carbapenem-resistant Enterobacterales, including 177 carbapenemase producers (CPE) spiked in blood culture bottles. The clinical categorization based on the Minimal Inhibitory Concentration (MIC) determination of eighteen antimicrobial molecules was compared to the clinical categorization based on the disk diffusion assay as a reference. The Reveal AST system provided results within a mean time to result of 5 h. Overall, the categorical agreement (CA) between the two techniques was 94.1%. The rates of very major errors (VMEs), major errors (MEs) and minor errors (mEs) were 3.8%, 3.7% and 5.6%, respectively. Imipenem was the antimicrobial with the lowest CA rate (78.7%), with rates of 15% VMEs and 10.7% MEs, but the performances were better when considering only the non-CPE category (CA of 89%). On this resistant collection of Enterobacterales with numerous acquired β-lactamases, the Specific Reveal assay proved to be useful for a rapid determination of AST compatible with a quick adaptation of the patient’s antimicrobial treatment.

Abstract Background Unprecedented increases in substance-related overdose fatalities have been observed in Texas and the U.S. since the onset of the COVID-19 pandemic and have made clear there is considerable need to reduce harms associated with drug use. At the federal level, initiatives have called for widespread dissemination and implementation of evidence-based harm reduction practices to reduce overdose deaths. Implementation of harm reduction strategies is challenging in Texas. There is a paucity of literature on understanding current harm reduction practices in Texas. As such, this qualitative study aims to understand harm reduction practices among people who use drugs (PWUD), harm reductionists, and emergency responders across four counties in Texas. This work would inform future efforts to scale and spread harm reduction in Texas. Methods Semi-structured qualitative interviews were conducted with N = 69 key stakeholders (25 harm reductionists; 24 PWUD; 20 emergency responders). Interviews were transcribed verbatim, coded for emergent themes, and analyzed using Applied Thematic Analysis with Nvivo 12. A community advisory board defined the research questions, reviewed the emergent themes, and assisted with interpretation of the data. Results Emergent themes highlighted barriers to harm reduction at micro and macro levels, from the individual experience of PWUD and harm reductionists to systemic issues in healthcare and the emergency medical response system. Specifically, (1) Texas has existing strengths in overdose prevention and response efforts on which to build, (2) PWUD are fearful of interacting with healthcare and 911 systems, (3) harm reductionists are in increasing need of support for reaching all PWUD communities, and (4) state-level policies may hinder widespread implementation and adoption of evidence-based harm reduction practices. Conclusions Perspectives from harm reduction stakeholders highlighted existing strengths, avenues for improvement, and specific barriers that currently exist to harm reduction practices in Texas.

This article explores how the formation of civic-minded college graduates has shifted in recent decades. It presents preliminary research from a group of undergraduate college students engaged in an urban, experiential education program and explores opportunities for utilizing academic-based internships in developing civic-minded graduates.

This article focuses on two collaborative projects selected by the Howard H. Baker Jr. Center for Public Policy at the University of Tennessee to partner in the US Department of State's Diplomacy Lab program that engages college students and faculty to study foreign policy challenges. The projects allowed information science graduate students to learn applied research in the process of developing geographic information systems for lesbian, gay, bisexual, transgender, and intersex advocacy. The paper identifies opportunities, challenges, and best practices in content delivery, resource development, and extended relationship-building while drawing upon teaching-research-advocacy intersections in library and information science education.

Indoor photovoltaic (IPV) devices are poised to make a significant contribution to the proliferation of the “Internet of Things” (IoT). For the accurate intercomparison of IPVs (and, hence, to advance the rational development of the technology), lighting conditions representative of those in typical indoor settings must be created reproducibly. As indoor lighting is invariably broadband, this will typically require the use of optical attenuation to achieve varying irradiance conditions at the device under test location. However, most forms of optical attenuation will suffer from some degree of spectral dispersion, creating sources of uncertainty for key figures of merit, such as power conversion efficiency. In this work, we examine the contribution of the mode of optical attenuation to the accurate characterization of IPV systems. We discuss requirements for broadband light source attenuation for the accurate characterization of photovoltaic devices under indoor illumination and consider the importance of using suitable reference devices for light intensity calibration. Furthermore, we experimentally verify attenuation methods typically used, including power control of the light source itself, use of neutral density filters, and advanced attenuation based on tandem prism attenuators. Finally, spectral shape alteration-induced uncertainties in performance parameter determination of photovoltaic cells under indoor illumination are quantified for three common broadband light attenuation methods, where we found ∼2%, ∼6%, and up to ∼15% ambiguity in photovoltaic device efficiency when using LED power control, prism attenuators, and neutral density filter-based broadband light attenuation, respectively.

Incomplete surgical resection of head and neck squamous cell carcinoma (HNSCC) is the most common cause of local HNSCC recurrence. Currently, surgeons rely on preoperative imaging, direct visualization, palpation and frozen section to determine the extent of tissue resection. It has been demonstrated that optical coherence tomography (OCT), a minimally invasive, nonionizing near infrared mesoscopic imaging modality can resolve subsurface differences between normal and abnormal head and neck mucosa. Previous work has utilized two-dimensional OCT imaging which is limited to the evaluation of small regions of interest generated frame by frame. OCT technology is capable of performing rapid volumetric imaging, but the capacity and expertise to analyze this massive amount of image data is lacking. In this study, we evaluate the ability of a retrained convolutional neural network to classify three-dimensional OCT images of head and neck mucosa to differentiate normal and abnormal tissues with sensitivity and specificity of 100% and 70%, respectively. This method has the potential to serve as a real-time analytic tool in the assessment of surgical margins.

To establish a trait-dispositional variable as an indicator of liability for the development of substance use disorders (SUDs), the trait must share heritable variance with SUDs and its association should not be primarily attributable to a direct impact of SUDs on characteristics that define the trait. The current work applied a co-twin control (CTC) modeling approach to data from two monozygotic twin samples to investigate the degree to which different measures of trait-impulsiveness represent indicants of vulnerability to SUDs (liability indicators), or outcomes or concomitants of SUDs (exposure indicators). The Five Factor Model (FFM) trait of conscientiousness was assessed via self-report, and a counterpart neurobehavioral trait of disinhibition was assessed both through self-report and using self-report and brain response measures combined. FFM trait data were available for one twin sample (N = 298); data for variants of P3 brain response were available along with a scale measure of disinhibition in the other (N = 258). CTC analyses revealed only an exposure effect of SUD symptomatology on FFM conscientiousness, indicating that this self-report assessed trait does not index liability for SUDs. By contrast, the disinhibition scale measure showed pronounced liability and weaker exposure-based associations with SUDs - and when quantified using scale scores together with P3 brain response, the exposure-based association was eliminated, such that this disinhibition measure related to SUD symptoms exclusively as a function of liability influences. These findings highlight a distinct advantage of quantifying traits in neurobehavioral terms - namely, the capacity to effectively index dispositional liability for psychopathological outcomes.

This qualitative case study explores the transformative impact of an off-campus US-based experiential education program on female students. Founded by a group of Christian colleges, this program offers students the opportunity to live in a large metropolitan area while learning through experiences in both professional work settings and the city. Data collected from focus groups over the span of 2 years show female students were transformed in their understanding of themselves as professionals and leaders. Students also discovered tensions in messages previously received about identity and gendered expectations in relation to who they felt they were becoming.

Abstract Background The Physician Assistant (PA) workforce falls short of mirroring national demographics mainly due to a lack of diversity in student enrollment. Few studies have systematically examined diversity across PA programs at the national level, and little is known about best practices for consistently graduating a diverse group of students. We descriptively characterized the extent to which PA programs are graduating a diverse group of students and identified top performing PA programs. Methods Data from the Integrated Postsecondary Education Data System (IPEDS) were used to calculate the number and proportion of racial or ethnically diverse graduates. The study sample included 139 accredited PA programs that had graduated a minimum of five cohorts from 2014–2018. Within each of the United States Census Divisions, programs were ranked according to the number and proportion of graduates who were underrepresented minority (URM) race, Hispanic ethnicity, and of non-white (URM race, Hispanic, and Asian). Results Amongst PA programs in the United States, a large disparity in the number and proportion of racial and ethnic graduates was observed. Of 34,625 PA graduates, only 2,207 (6.4%) were Hispanic ethnicity and 1,220 (3.5%) were URM race. Furthermore, a large number of diverse graduates came from a small number of top performing programs. Conclusion Despite the abundance of evidence for the need to diversify the healthcare workforce, PA programs have had difficulty recruiting and graduating a diverse group of students. This study provides empirical evidence that PA programs have not been able to attain the level of diversity necessary to shift the lack of diversity in the PA workforce. Based upon this study's findings, the top performing PA programs can be used as role models to establish benchmarks for other programs. The results of this descriptive study are currently being used to guide a qualitative study to identify the top performers’ strategies for success.

Abstract The effect of electron‐beam patterning on the water uptake and ionic conductivity of Nafion films using a combination of X‐ray photoelectron spectroscopy, quartz crystal microbalance studies, neutron reflectometry, and impedance spectroscopy is reported. The aim is to further characterize the nanoscale patterned Nafion structures recently used as a key element in novel ion‐to‐electron transducers by Gluschke et al. To enable this, the electron beam patterning process is developed for large areas, achieving patterning speeds approaching 1 cm2 h−1, and patterned areas as large as 7 cm2 for the neutron reflectometry studies. It is ultimately shown that electron‐beam patterning affects both the water uptake and the ionic conductivity, depending on film thickness. Type‐II adsorption isotherm behavior is seen for all films. For thick films (≈230 nm), a strong reduction in water uptake with electron‐beam patterning is found. In contrast, for thin films (≈30 nm), electron‐beam patterning enhances water uptake. Notably, for either thickness, the reduction in ionic conductivity arising from electron‐beam patterning is kept to less than an order of magnitude. Mechanisms are proposed for the observed behavior based on the known complex morphology of Nafion films to motivate future studies of electron‐beam processed Nafion.

Performance anxiety is a widespread issue that can affect musicians across their education and career. It can develop in musicians from a young age leading to short-term and long-term impacts on not only their performance, but also their wellbeing. There is potentially a significant role that music educators hold in the development of their students and how they handle performance anxiety, though it is not clear how, or how often, teachers support their students in this way. Through a PRISMA-based systematic review, this paper explores what is known about the strategies used by music educators to help manage their students' performance anxiety. The paper also discusses the role that instrumental/vocal tutors and school classroom teachers might hold in this area. The findings show that music educators are implementing multiple strategies to assist their students with MPA, with the most common being simulated performance, positive outlook, preparation and breathing. It was found that there is a role for teachers to address MPA management with their students. While some students prefer to receive MPA support from experts in the field of psychology, students still expressed a need to have this support come from their teacher. Though many teachers felt a need for additional training for them to help their students cope with MPA, many of the strategies were found to be multifunctional and embedded into the regular teaching practices or teaching styles of the educator. Although these strategies might be implicit rather than explicit, the findings suggest that music educators could represent a valuable source of support for MPA management.

As the Internet of Things (IoT) expands, the need for energy-efficient, self-powered devices increases and so a better understanding of the available energy resource is necessary. We examine the light power resource availability for energy harvesting photovoltaics (PV) in various environments and its potential for self-powered IoT applications. We analyse light sources, considering spectral distribution, intensity, and temporal variations, and evaluate the impact of location, seasonal variation, and time of day on light power availability. Additionally, we discuss human and building design factors, such as occupancy, room aspect, sensor placement, and décor, which influence light energy availability and therefore power for IoT electronics. We propose a best-case and non-ideal scenario in terms of light resource for energy-harvesting, and using a commercially available organic PV cell, show that the energy yield generated and available to the IoT electronics, can be anywhere between 0.7 mWh and 75 mWh per day, depending on the lighting conditions.

IntroductionExposure-based psychotherapies for the treatment of anxiety- and fear-based disorders rely on “corrective” associative learning. Namely the repeated confrontation with feared stimuli in the absence of negative outcomes allows the formation of new, corrected associations of safety, indicating that such stimuli no longer need to be avoided. Unfortunately, exposure-facilitated corrective learning tends to be bound by context and often poorly generalizes. One brain structure, the prefrontal cortex, is implicated in context-guided behavior and may be a relevant target for improving generalization of safety learning. Here, we tested whether inhibition of the left prefrontal cortex causally impaired updating of context-bound associations specifically or, alternatively, impaired updating of learned associations irrespective of contextual changes. Additionally, we tested whether prefrontal inhibition during corrective learning influenced subsequent generalization of associations to a novel context.MethodsIn two separate experiments, participants received either 10 min of 2 mA cathodal transcranial direct current stimulation (tDCS) over EEG coordinate F3 (Experiment 1 n = 9, Experiment 2 n = 22) or sham stimulation (Experiment 1 n = 10, Experiment 2 n = 22) while previously learned associations were reversed in the same or a different context from initial learning. Next, to assess generalization of learning, participants were asked to indicate which of the previously seen images they preferred in a novel, never seen before context.ResultsResults indicate that tDCS significantly impaired reversal irrespective of context in Experiment 2 only. When taking learning rate across trials into account, both experiments suggest that participants who received sham had the greatest learning rate when reversal occurred in a different context, as expected, whereas participants who received active tDCS in this condition had the lowest learning rate. However, active tDCS was associated with preferring the originally disadvantageous, but then neural stimulus after stimulus after reversal occurred in a different context in Experiment 1 only.DiscussionThese results support a causal role for the left prefrontal cortex in the updating of avoidance-based associations and encourage further inquiry investigating the use of non-invasive brain stimulation on flexible updating of learned associations.