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BACKGROUND: Previous studies have established that increased Sample Entropy (SampEn) of cadence, a measure of non-linear variability, during dynamic cycling leads to greater improvements in motor function for individuals with Parkinson's disease (PD). However, there is significant variability in responses among individuals with PD due to symptoms and disease progression. OBJECTIVES: The aim of this study was to develop and test a paradigm for adapting a cycling exercise intervention using SampEn of cadence and rider effort to improve motor function. METHODS: Twenty-two participants were randomized into either patient-specific adaptive dynamic cycling (PSADC) or non-adaptive (NA) group. SampEn of cadence was calculated after each of the 12 sessions, and motor function was evaluated using the Kinesia test. Pearson's correlation coefficient was used to analyze the relationship between SampEn of cadence and motor function improvement. Multiple linear regression (MLR) was used to identify the strongest predictors of motor function improvement. RESULTS: Pearson's correlation coefficient revealed a significant correlation between SampEn of cadence and motor function improvements (R2 = -.545, P = .009), suggesting that higher SampEn of cadence led to greater motor function improvement. MLR demonstrated that SampEn of cadence was the strongest predictor of motor function improvement (ß = -8.923, t = -2.632, P = .018) over the BMI, Levodopa equivalent daily dose, and effort. CONCLUSIONS: The findings show that PSADC paradigm promoted a greater improvement in motor function than NA dynamic cycling. These data will be used to develop a predictive model to optimize motor function improvement after cycling in individuals with PD.
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BACKGROUND: Artificial intelligence-based (AI) clinical decision support systems (CDSS) using unconventional data, like smartphone-acquired images, promise transformational opportunities for telehealth; including remote diagnosis. Although such solutions' potential remains largely untapped, providers' trust and understanding are vital for effective adoption. This study examines how different human-AI interaction paradigms affect clinicians' responses to an emerging AI CDSS for streptococcal pharyngitis (strep throat) detection from smartphone throat images. METHODS: In a randomized experiment, we tested explainable AI strategies using three AI-based CDSS prototypes for strep throat prediction. Participants received clinical vignettes via an online survey to predict the disease state and offer clinical recommendations. The first set included a validated CDSS prediction (Modified Centor Score) and the second introduced an explainable AI prototype randomly. We used linear models to assess explainable AI's effect on clinicians' accuracy, confirmatory testing rates, and perceived trust and understanding of the CDSS. RESULTS: The study, involving 121 telehealth providers, shows that compared to using the Centor Score, AI-based CDSS can improve clinicians' predictions. Despite higher agreement with AI, participants report lower trust in its advice than in the Centor Score, leading to more requests for in-person confirmatory testing. CONCLUSIONS: Effectively integrating AI is crucial in the telehealth-based diagnosis of infectious diseases, given the implications of antibiotic over-prescriptions. We demonstrate that AI-based CDSS can improve the accuracy of remote strep throat screening yet underscores the necessity to enhance human-machine collaboration, particularly in trust and intelligibility. This ensures providers and patients can capitalize on AI interventions and smartphones for virtual healthcare.
Strep pharyngitis, or strep throat, is a bacterial infection that can cause a sore throat. Artificial intelligence (AI) can use photos taken on a person's phone to help diagnose strep throat, offering an additional way for doctors to screen patients during virtual appointments. However, it is currently unclear whether doctors will trust AI recommendations or how they might use them in decision-making. We surveyed clinicians about their use of an AI system for strep throat screening with smartphone images. We compared different ways of providing AI recommendations to standard medical guidelines. We found that all tested AI methods helped clinicians to identify strep throat cases. However, clinicians trusted AI less than their usual clinical guidelines, leading to more requests for follow-up in-person testing. Our results show how AI may improve the accuracy of pharyngitis assessment. Still, further research is needed to ensure doctors trust and collaborate with AI to improve remote healthcare.
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The majority of children with traumatic experiences who seek treatment have had multiple traumatic experiences resulting in complex trauma. Complex trauma is associated with multiple adverse outcomes for children and caregivers. Treating complex trauma has the potential to significantly improve child mental and physical health, caregiver mental health, and reduce family conflict. One promising approach is the Attachment, Regulation, and Competency (ARC) Framework. Yet, there is limited research on the effectiveness of interventions using the ARC framework. The purpose of this rapid scoping review was to assess the state of the evidence of ARC and ARC adaptations. The databases APA PsycINFO, Social Work Abstracts, and Applied Social Sciences Index & Abstracts were searched. The search was limited to articles involving interventions using the ARC framework and written in English. To be as comprehensive as possible quantitative, qualitative and mixed methods designs were included and there was no date restriction. Ten articles were included in the review. Results show all studies were quasi experimental, half did not include a comparison group, and interventions using the ARC framework varied in duration (12-180 sessions), setting (outpatient therapy, residential treatment, community outreach and school-based intervention) and age (birth-22). Findings indicate the ARC framework shows promise in reducing children's trauma related symptoms including post-traumatic stress disorder (PTSD), externalizing, and internalizing problems, and improving trauma sensitive classroom environments. Additional outcomes included increased permanent placements, reduced caregiver stress and increased caregiver functioning. Future research is needed utilizing randomized controlled trials to establish efficacy of this promising intervention.
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CONTEXT: It is unknown if US residency applicants of different educational backgrounds (US allopathic [MD], Doctor of Osteopathic Medicine [DO], and international medical graduates [IMG]) but comparable academic performance have similar match success. OBJECTIVES: Our objective was to compare match probabilities between applicant types after adjusting for specialty choice and United States Medical Licensing Examination (USMLE) Step 1 scores. METHODS: We performed a secondary analysis of published data in National Resident Matching Program (NRMP) reports from 2016, 2018, 2020, and 2022 for US MD seniors, DO seniors, and IMGs (US citizens and non-US citizens). We examined the 10 specialties with the most available spots in 2022. Average marginal effects from a multiple variable logistic regression model were utilized to estimate each non-MD senior applicant type's probability of matching into their preferred specialty compared to MD seniors adjusting for specialty choice, Step 1 score, and match year. RESULTS: Each non-MD applicant type had a lower adjusted percent difference in matching to their preferred specialty than MD seniors, -7.1â¯% (95â¯% confidence interval [CI], -11.3 to -2.9) for DO seniors, -45.6â¯% (-50.6 to -40.5) for US IMGs, and -56.6â¯% (-61.5 to -51.6) for non-US IMGs. Similarly, each non-MD applicant type had a lower adjusted percent difference in matching than MD seniors across almost all Step 1 score ranges, except for DO seniors with Step 1 scores <200 (-2.0â¯% [-9.5 to 5.5]). CONCLUSIONS: After adjusting for specialty choice, Step 1 score, and match year, non-US MD applicants had lower probabilities of matching into their preferred specialties than their US MD colleagues.
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Médicos Graduados Estrangeiros , Internato e Residência , Medicina Osteopática , Humanos , Estados Unidos , Medicina Osteopática/educação , Médicos Graduados Estrangeiros/estatística & dados numéricos , Escolha da Profissão , Masculino , Feminino , Licenciamento em Medicina/estatística & dados numéricos , Médicos Osteopáticos/estatística & dados numéricos , Avaliação Educacional , Probabilidade , AdultoRESUMO
Objectives: The aim of this study is to audit 7 years of data with a 3 year follow up from a high-volume stone centre performing extracorporeal shock wave lithotripsy (ESWL) to evaluate efficacy in stone clearance compared to existing knowledge and understand reasons for this performance. Methods: Patients who received ESWL treatment for renal or proximal ureteric stones at a single centre between January 2012 and January 2019 (to allow minimum 3 year follow up) were retrieved. A retrospective analysis was performed cross referencing for stone size, location, treatment and need for further procedures. Ethical approval was granted through Metro North HHS HREC, Queensland, Australia. Results: A total of 1930 patients met inclusion criteria. Fifty-seven percent (n = 1100) underwent left-sided ESWL, compared to 43% (n = 830) on the right. Stone size and location were both statistically significant to treatment outcome. Small stones (<1 cm) had an overall clearance rate of 81.9%, medium stones (1-2 cm) had a clearance rate of 60.6% and stones (>2 cm) had a clearance rate of 31.3%. Small stones in an upper calyx had the highest clearance rate (87.5%, n = 120). Allowing for two procedures, 89% of stones were treated successfully. Conclusion: ESWL remains a legitimate option for the treatment of small and medium sized renal calculi. ESWL stone clearance rates at our centre are higher than published elsewhere and serve as proof to its efficacy. X-ray imaging on the day of the procedure, heavy consultant input and frequent intra-operative imaging are cited as key reasons for success. Further research is warranted to elucidate factors affecting stone clearance rate and to enable more standardised outcomes. Further investment may be required into ESWL provisions in most Australian states and especially in Queensland to enable its continued use in contrast to developing endourological techniques.
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PURPOSE: Examine possible message topics to promote rural vaccination using psychosocial antecedents of vaccination. DESIGN: Cross-sectional survey administered by Research America, Inc. SETTING: West Virginia (WV). SAMPLE: 756 WV adults via convenience sample (n = 370; â¼2% response rate from online panel of â¼20 000 WV residents), and random digit dial of landlines (n = 174; â¼1% response rate from 18 432 numbers) and cellphones (n = 212; â¼1% response rate from 20 486 numbers). MEASURES: Outcome measures included self-reported vaccination intention and behavior. Predictor measures, rooted in theories of social and behavioral science that have been found to be predictive of vaccination outcomes (i.e., Reasoned Action Approach, Extended Parallel Process Model), included perceived severity and susceptibility, negative affect, instrumental and affective attitudes, social norms, self-efficacy, response efficacy, and perceived control. ANALYSIS: Multivariate linear regression for intention and logistic regression for behavior. RESULTS: Intention was positively predicted by affective attitude, ß = .30, P < .05, instrumental attitude, ß = .19, P < .05, response efficacy, ß = .19, P < .05, negative affect, ß = .16, P < .05, self-efficacy, ß = .13, P < .05, and subjective norm, ß = .13, P < .05, F(10, 267) = 30.12, Adj. R2 = .53. Vaccination status was predicted by instrumental attitude, exp(B) = 2.09, and subjective norm, exp(B) = 2.00, Pseudo R2 = .29, log likelihood = 125.11, χ2(10) = 38.34, P < .05. Promising message targets were instrumental attitude, M = 3.21, SD = 1.46, and subjective norms, M = 3.76, SD = 1.71. CONCLUSION: COVID-19 vaccine confidence messages should address (1) positive feelings and safety perceptions, (2) vaccination's effectiveness in preventing serious COVID-19, and (3) subjective vaccination norms.
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Electrical biosensors, including transistor-based devices (i.e., BioFETs), have the potential to offer versatile biomarker detection in a simple, low-cost, scalable, and point-of-care manner. Semiconducting carbon nanotubes (CNTs) are among the most explored nanomaterial candidates for BioFETs due to their high electrical sensitivity and compatibility with diverse fabrication approaches. However, when operating in solutions at biologically relevant ionic strengths, CNT-based BioFETs suffer from debilitating levels of signal drift and charge screening, which are often unaccounted for or sidestepped (but not addressed) by testing in diluted solutions. In this work, we present an ultrasensitive CNT-based BioFET called the D4-TFT, an immunoassay with an electrical readout, which overcomes charge screening and drift-related limitations of BioFETs. In high ionic strength solution (1X PBS), the D4-TFT repeatedly and stably detects subfemtomolar biomarker concentrations in a point-of-care form factor by increasing the sensing distance in solution (Debye length) and mitigating signal drift effects. Debye length screening and biofouling effects are overcome using a poly(ethylene glycol)-like polymer brush interface (POEGMA) above the device into which antibodies are printed. Simultaneous testing of a control device having no antibodies printed over the CNT channel confirms successful detection of the target biomarker via an on-current shift caused by antibody sandwich formation. Drift in the target signal is mitigated by a combination of: (1) maximizing sensitivity by appropriate passivation alongside the polymer brush coating; (2) using a stable electrical testing configuration; and (3) enforcing a rigorous testing methodology that relies on infrequent DC sweeps rather than static or AC measurements. These improvements are realized in a relatively simple device using printed CNTs and antibodies for a low-cost, versatile platform for the ongoing pursuit of point-of-care BioFETs.
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Background: Acid sphingomyelinase deficiency (ASMD), historically known as Niemann-Pick disease type A, A/B, and B, is a rare lysosomal storage pathology with multisystemic clinical manifestations. The aims of this study were to estimate the survival probability in patients in the United States with chronic ASMD (ASMD types B and A/B), and to describe the disease characteristics of these patients. Methods: This observational retrospective study included medical chart records of patients with chronic ASMD with retrievable data abstracted by 69 participating physicians from 25 medical centers in the United States. Included patients had a date of ASMD diagnosis or first presentation to a physician for ASMD symptoms (whichever occurred first) between January 01, 1990, and February 28, 2021. Medical chart records were excluded if patients were diagnosed with ASMD type A. Eligible medical chart records were abstracted to collect demographic, medical and developmental history, and mortality data. Survival outcomes were analyzed using Kaplan-Meier survival analyses from birth until death. Results: The overall study population (N = 110) included 69 patients with ASMD type B, nine with type A/B, and 32 with ASMD "non-type A" (ASMD subtype was unknown, but patients were confirmed as not having ASMD type A). The majority of patients were male with a median age at diagnosis of 3.8 years. Thirty-eight patients died during the study observation period, at a median age of 6.8 years. The median (95% confidence interval) survival age from birth was 21.3 (10.2; 60.4) years. At diagnosis or first presentation, 42.7% patients had ≥1 ASMD-related complication; splenic (30.0%) and hepatobiliary (20.9%) being the most common, and 40.9% required ≥1 medical visit due to complications. Conclusion: Patients with chronic ASMD in the United States have poor survival and significant burden of illness.
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The addition of surface acoustic wave (SAW) technologies to microfluidics has greatly advanced lab-on-a-chip applications due to their unique and powerful attributes, including high-precision manipulation, versatility, integrability, biocompatibility, contactless nature, and rapid actuation. However, the development of SAW microfluidic devices is limited by complex and time-consuming micro/nanofabrication techniques and access to cleanroom facilities for multistep photolithography and vacuum-based processing. To simplify the fabrication of SAW microfluidic devices with customizable dimensions and functions, we utilized the additive manufacturing technique of aerosol jet printing. We successfully fabricated customized SAW microfluidic devices of varying materials, including silver nanowires, graphene, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS). To characterize and compare the acoustic actuation performance of these aerosol jet printed SAW microfluidic devices with their cleanroom-fabricated counterparts, the wave displacements and resonant frequencies of the different fabricated devices were directly measured through scanning laser Doppler vibrometry. Finally, to exhibit the capability of the aerosol jet printed devices for lab-on-a-chip applications, we successfully conducted acoustic streaming and particle concentration experiments. Overall, we demonstrated a novel solution-based, direct-write, single-step, cleanroom-free additive manufacturing technique to rapidly develop SAW microfluidic devices that shows viability for applications in the fields of biology, chemistry, engineering, and medicine.
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Three-dimensional (3D) graphene microstructures have the potential to boost performance in high-capacity batteries and ultrasensitive sensors. Numerous techniques have been developed to create such structures; however, the methods typically rely on structural supports, and/or lengthy post-print processing, increasing cost and complexity. Additive manufacturing techniques, such as printing, show promise in overcoming these challenges. This study employs aerosol jet printing for creating 3D graphene microstructures using water as the only solvent and without any post-print processing required. The graphene pillars exhibit conductivity immediately after printing, requiring no high-temperature annealing. Furthermore, these pillars are successfully printed in freestanding configurations at angles below 45° relative to the substrate, showcasing their adaptability for tailored applications. When graphene pillars are added to humidity sensors, the additional surface area does not yield a corresponding increase in sensor performance. However, graphene trusses, which add a parallel conduction path to the sensing surface, are found to improve sensitivity nearly 2×, highlighting the advantages of a topologically suspended circuit construction when adding 3D microstructures to sensing electrodes. Overall, incorporating 3D graphene microstructures to sensor electrodes can provide added sensitivity, and aerosol jet printing is a viable path to realizing these conductive microstructures without any post-print processing.
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Preventative anti-cancer vaccination strategies have long been hampered by the challenge of targeting the diverse array of potential tumor antigens, with successes to date limited to cancers with viral etiologies. Identification and vaccination against frameshift neoantigens conserved across multiple species and tumor histologies is a potential cancer preventative strategy currently being investigated. Companion dogs spontaneously develop cancers at a similar incidence to those in people and are a complementary comparative patient population for the development of novel anti-cancer therapeutics. In addition to an intact immune system with tumors that arise in an autochthonous tumor microenvironment, dogs also have a shorter lifespan and temporally compressed tumor natural history as compared to humans, which allows for more rapid evaluation of safety, immunogenicity, and efficacy of cancer vaccination strategies. Here we describe the study protocol for the Vaccination Against Canine Cancer Study (VACCS), the largest interventional cancer clinical trial conducted in companion dogs to date. In addition to safety and immunogenicity, the primary endpoint of VACCS is the cumulative incidence (CI) of dogs developing malignant neoplasia of any type at the end of the study period. Secondary endpoints include changes in incidence of specific tumor types, survival times following neoplasia diagnosis, and all-cause mortality.
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Vacinas Anticâncer , Doenças do Cão , Neoplasias , Animais , Cães , Vacinas Anticâncer/administração & dosagem , Doenças do Cão/prevenção & controle , Neoplasias/prevenção & controle , Neoplasias/veterinária , Microambiente Tumoral , Vacinação/veterináriaRESUMO
Within the national opioid epidemic, there has been an increase in the number of infants exposed to opioids in utero. Additionally, opioid agonist medications are the standard of care for women with opioid use disorder during pregnancy. Buprenorphine (BUP), a partial µ -opioid receptor agonist, has been successful in improving gestational and neonatal outcomes. However, in utero exposure has been linked to childhood cognitive and behavioral problems. Therefore, we sought to compare offspring cognitive and behavioral outcomes after prenatal exposure to a clinically relevant low dose of BUP compared to morphine (MO), a full µ -opioid receptor agonist and immediate metabolite of heroin. We used a mouse model to assess gestational and offspring outcomes. Mouse dams were injected once daily s.c. with saline (SAL, n = 12), MO (10 mg/kg, n = 15), or BUP (0.1 mg/kg, n = 16) throughout pre-gestation, gestation, and lactation until offspring were weaned on postnatal day (P)21. Offspring social interaction and exploratory behavior were assessed, along with executive function via the touchscreen 5 choice serial reaction time task (5CSRTT). We then quantified P1 brain gene expression in the frontal cortex and amygdala (AMG). Perinatal MO but not BUP exposure decreased gestational weight gain and was associated with dystocia. In adolescent offspring, perinatal MO but not BUP exposure increased social exploration in males and grooming behavior in females. In the 5CSRTT, male MO exposed offspring exhibited increased impulsive action errors compared to male BUP offspring. In the AMG of P1 MO exposed offspring, we observed an increase in gene expression of targets related to activity of microglia. Importantly, both MO and BUP caused acute hyperlocomotion in the dams to a similar degree, indicating that the selected doses are comparable, in accordance with previous dose comparisons on analgesic and reward efficacy. These data suggest that compared to MO, low dose BUP improves gestational outcomes and has less of an effect on the neonatal offspring brain and later adolescent and adult behavior.
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Buprenorfina , Transtornos Relacionados ao Uso de Opioides , Humanos , Gravidez , Adulto , Adolescente , Masculino , Feminino , Animais , Camundongos , Criança , Buprenorfina/toxicidade , Buprenorfina/uso terapêutico , Morfina , Analgésicos Opioides/toxicidade , Transtornos Relacionados ao Uso de Opioides/tratamento farmacológico , Receptores Opioides/uso terapêuticoRESUMO
Psychological loss is a common experience that erodes well-being and negatively impacts quality of life. The molecular underpinnings of loss are poorly understood. Here, we investigate the mechanisms of loss using an environmental enrichment removal (ER) paradigm in male rats. The basolateral amygdala (BLA) was identified as a region of interest, demonstrating differential Fos responsivity to ER and having an established role in stress processing and adaptation. A comprehensive multi-omics investigation of the BLA, spanning multiple cohorts, platforms, and analyses, revealed alterations in microglia and the extracellular matrix (ECM). Follow-up studies indicated that ER decreased microglia size, complexity, and phagocytosis, suggesting reduced immune surveillance. Loss also substantially increased ECM coverage, specifically targeting perineuronal nets surrounding parvalbumin interneurons, suggesting decreased plasticity and increased inhibition within the BLA following loss. Behavioral analyses suggest that these molecular effects are linked to impaired BLA salience evaluation, leading to a mismatch between stimulus and reaction intensity. These loss-like behaviors could be rescued by depleting BLA ECM during the removal period, helping us understand the mechanisms underlying loss and revealing novel molecular targets to ameliorate its impact.
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Complexo Nuclear Basolateral da Amígdala , Ratos , Animais , Masculino , Complexo Nuclear Basolateral da Amígdala/fisiologia , Neurobiologia , Qualidade de Vida , Interneurônios , Matriz ExtracelularRESUMO
Children that survive leukemia are at an increased risk for cognitive difficulties. A better understanding of the neurobiological changes in response to early life chemotherapy will help develop therapeutic strategies to improve quality of life for leukemia survivors. To that end, we used a translationally-relevant mouse model consisting of leukemic cell line (L1210) injection into postnatal day (P)19 mice followed by methotrexate, vincristine, and leucovorin chemotherapy. Beginning one week after the end of chemotherapy, social behavior, recognition memory and executive function (using the 5 choice serial reaction time task (5CSRTT)) were tested in male and female mice. Prefrontal cortex (PFC) and hippocampus (HPC) were collected at the conclusion of behavioral assays for gene expression analysis. Mice exposed to early life cancer + chemotherapy were slower to progress through increasingly difficult stages of the 5CSRTT and showed an increase in premature errors, indicating impulsive action. A cluster of microglial-related genes in the PFC were found to be associated with performance in the 5CSRTT and acquisition of the operant response, and long-term changes in gene expression were evident in both PFC and HPC. This work identifies gene expression changes in PFC and HPC that may underlie cognitive deficits in survivors of early life exposure to cancer + chemotherapy.
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Leucemia , Neoplasias , Camundongos , Masculino , Feminino , Animais , Microglia , Qualidade de Vida , Córtex Pré-Frontal/metabolismo , Cognição/fisiologia , Neoplasias/metabolismo , Leucemia/metabolismo , Expressão GênicaRESUMO
BACKGROUND: Yearly, more than 20,000 children experience a cardiac arrest. High-quality pediatric cardiopulmonary resuscitation (CPR) is generally challenging for community hospital teams, where pediatric cardiac arrest is infrequent. Current feedback systems are insufficient. Therefore, we developed an augmented reality (AR) CPR feedback system for use in many settings. OBJECTIVE: We aimed to evaluate whether AR-CPR improves chest compression (CC) performance in non-pediatric-specialized community emergency departments (EDs). METHODS: We performed an unblinded, randomized, crossover simulation-based study. A convenience sample of community ED nonpediatric nurses and technicians were included. Each participant performed three 2-min cycles of CC during a simulated pediatric cardiac arrest. Participants were randomized to use AR-CPR in one of three CC cycles. Afterward, participants participated in a qualitative interview to inquire about their experience with AR-CPR. RESULTS: Of 36 participants, 18 were randomized to AR-CPR in cycle 2 (group A) and 18 were randomized to AR-CPR in cycle 3 (group B). When using AR-CPR, 87-90% (SD 12-13%) of all CCs were in goal range, analyzed as 1-min intervals, compared with 18-21% (SD 30-33%) without feedback (p < 0.001). Analysis of qualitative themes revealed that AR-CPR may be usable without a device orientation, be effective at cognitive offloading, and reduce anxiety around and enhance confidence in the CC delivered. CONCLUSIONS: The novel CPR feedback system, AR-CPR, significantly changed the CC performance in community hospital non-pediatric-specialized general EDs from 18-21% to 87-90% of CC epochs at goal. This study offers preliminary evidence suggesting AR-CPR improves CC quality in community hospital settings.
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Realidade Aumentada , Reanimação Cardiopulmonar , Parada Cardíaca , Criança , Humanos , Projetos Piloto , Retroalimentação , Parada Cardíaca/terapia , Serviço Hospitalar de EmergênciaRESUMO
Background: Barriers to implementation of culinary medicine in resident training include lack of facilities, administrative support, and community engagement. Activity: Twenty-five family medicine residents were teamed with 17 high school culinary arts students to prepare recipes aligned with the Mediterranean diet (MED) and the USDA low, moderate, and liberal cost food plans. Results: The workshop took place in the high school teaching kitchens. A pre-survey informed the planning committee's design of a 4-h hands-on workshop that was considered a success. Discussion: Post-surveys documented improved resident confidence and skills in recommending MED to their patients and interaction with their own peers and high school students, as well as enjoyment by all participants of this hands-on approach.
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25% annual PV growth is possible over the next decade.
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Printing thin-film transistors (TFTs) using nanomaterials is a promising approach for future electronics. Yet, most inks rely on environmentally harmful solvents for solubilizing and postprint processing the nanomaterials. In this work, we demonstrate water-only TFTs printed from all-carbon inks of semiconducting carbon nanotubes (CNTs), conducting graphene, and insulating crystalline nanocellulose (CNC). While suspending these nanomaterials into aqueous inks is readily achieved, printing the inks into thin films of sufficient surface coverage and in multilayer stacks to form TFTs has proven elusive without high temperatures, hazardous chemicals, and/or lengthy postprocessing. Using aerosol jet printing, our approach involves a maximum temperature of 70 °C and no hazardous chemicalsâall inks are aqueous and only water is used for processing. An intermittent rinsing technique was utilized to address the surface adhesion challenges that limit film density of printed aqueous CNTs. These findings provide promising steps toward an environmentally friendly realization of thin-film electronics.
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BACKGROUND: Health disparities in lesbian, gay, bisexual, transgender, queer and other sexual and gender minority (LGBTQ+) individuals are well documented, and there is a dearth of primary care providers (PCPs) with the knowledge, skills, and attitudes to sensitively care for this diverse population. PURPOSE: The purpose of this research study was to ask LGBTQ+ patients what qualities they prefer in their PCP. The findings will be used to better prepare nurse practitioners (NPs) to care for this diverse community and inform the training of future NPs to provide patient-centered care to LGBTQ+ individuals. METHODOLOGY: In this qualitative descriptive study, four focus groups were conducted remotely between December 2020 and January 2021 with self-identified LGBTQ+ patients of an LGBTQ+ health center in the northeast. Thematic analysis of the data elicited codes, categories, and themes. Strategies were implemented to promote trustworthiness of the results. RESULTS: Twenty-eight participants shared the qualities they value in their PCP. Analysis revealed four themes: "Ditch the white coats"; "Meet me where I am"; "The relationship is key"; and "Be knowledgeable about and comfortable with LGBTQ+ people and their health care needs." CONCLUSIONS: The focus groups elucidated important information on caring for the LGTBQ+ communities and insights into what NPs must do to provide patient-centered care to this diverse population. IMPLICATIONS: These findings can improve practice through a better understanding of LGBTQ+ patients' perspectives. Additionally, this study demonstrates the feasibility of directly asking our patients what they want in their health care provider.
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Minorias Sexuais e de Gênero , Pessoas Transgênero , Feminino , Humanos , Comportamento Sexual , Identidade de Gênero , Assistência Centrada no PacienteRESUMO
Human pluripotent stem cells (hPSCs) are a powerful tool for disease modeling of hard-to-access tissues (such as the brain). Current protocols either direct neuronal differentiation with small molecules or use transcription-factor-mediated programming. In this study, we couple overexpression of transcription factor Neurogenin2 (Ngn2) with small molecule patterning to differentiate hPSCs into lower induced motor neurons (liMoNes/liMNs). This approach induces canonical MN markers including MN-specific Hb9/MNX1 in more than 95% of cells. liMNs resemble bona fide hPSC-derived MN, exhibit spontaneous electrical activity, express synaptic markers, and can contact muscle cells in vitro. Pooled, multiplexed single-cell RNA sequencing on 50 hPSC lines reveals reproducible populations of distinct subtypes of cervical and brachial MNs that resemble their in vivo, embryonic counterparts. Combining small molecule patterning with Ngn2 overexpression facilitates high-yield, reproducible production of disease-relevant MN subtypes, which is fundamental in propelling our knowledge of MN biology and its disruption in disease.