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Leaders have a significant influence on student learning and are responsible for leading teacher professional learning in schools. While principals often lead teacher learning, others assist in this role. With the recent pandemic, it is clear there is a need for continued teacher learning. Extensive research on professional development has been conducted and is well known to be a strategy for improving teacher learning. While professional development offers short-term opportunities, a focus on professional learning in schools emphasizes sustained, ongoing experiences that engage teachers in inquiry around their practices. This mixed study explored the impact of sustained professional development. Semi-structured interviews and focus groups were conducted and analyzed. Documents were identified for quantitative analysis and then integrated with qualitative data. Findings showed the notion of soft landings, as referred to by participants, a culture where it was safe to risk and try to implement ideas they were learning. This culture was an important aspect of this sustained and ongoing experience for teachers. Key leadership practices nurturing the culture of soft landings were developing collective commitment, encouraging risk-taking, promoting collaboration, and providing individualized support. This study offers insights into how leadership can play a role in providing sustained experiences to create a school culture that nurtures teacher learning. This article holds significance to those leading teacher learning in schools and those interested in utilizing leadership practices that attend to building a culture of soft landings.

Since its introduction several decades ago, online learning has become a component of higher education, with institutions worldwide providing a form of online course delivery. One key feature of online learning is the use of video conferencing software and the use of a video camera feature. Grounded on Vygotsky and Wallon's ideas of how emotion and cognition are interconnected and equally relevant in learning processes, this paper aims to understand how the use of the video camera feature in synchronous online group work affects relationship building in those settings and the students' overall learning experience. Qualitative findings from 22 semistructured interviews completed with 12 students and 10 instructors enrolled in Canadian postsecondary online teacher education courses are shared. Results indicate instructors and students perceive there are consequences for turning the video camera on and off during synchronous sessions and that seeing others on camera helps promote positive affective relationships among students. The findings contribute to the literature related to video camera usage in online learning environments and serve to inform institutions and instructors designing online courses with synchronous group activities.

Hypertensive disorders of pregnancy are the most frequently occurring medical condition during pregnancy, resulting in fetal and/or maternal morbidity and mortality. This meta-analysis compared the efficacy and safety of nifedipine with other antihypertensive medications used in hypertensive disorders of pregnancy.A comprehensive search was performed using PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), and Google Scholar. The meta-analysis was carried out using Review Manager Software, and the pooled effect estimate was generated as standardized mean difference and odds ratio with 95% confidence interval and two-sided P -value.The meta-analysis was comprised of 22 randomized control trials with 2595 participants. It was found that meantime and number of doses required to achieve target blood pressure were lower in the nifedipine group ( P 0.05). Even though it is statistically insignificant, fetal APGAR (Appearance, Pulse, Grimace, Activity, and Respiration) scores less than seven favors nifedipine intervention. Furthermore, none of the fetal or maternal secondary outcomes were found significant.Nifedipine was found to be more effective than other antihypertensive medications to reduce blood pressure, particularly in patients with severe hypertension. However, future clinical studies, including real-world data are necessary to establish the safety profile of nifedipine concerning the fetal outcomes in hypertensive pregnant women.

ObjectiveTo evaluate the quality of randomized controlled trials (RCTs) published on Coronavirus Disease-19 (COVID-19) and to investigate the reasons behind compromising the quality, if found.MethodsA systematic literature search was performed in PubMed, Google Scholar, and Cochrane CENTRAL to identify the Randomized Controlled Trails published on Coronavirus Disease-19 between 1st Dec 2019 to 31st Aug 2021. Research articles met with study criteria were included in the study. Assessment of quality of randomized controlled trials was done using modified Jadad scale.Results21,259 records of randomized controlled trials were identified through database searching, out of which 90 randomized controlled trials were included in the study and, 34 (37.8%) were of high-quality, 46 (51.1%) were of moderate quality, and 10 (11.1 %) were of low-quality studies. There were 40 (44.4%), 38 (42.2%), and 12 (13.3%) randomized controlled trials published in the early, middle, and late terms with Jadad score 5.12±1.67, 5.34±1.32, and 5.68±1.50 respectively (P=0.52). When comparing the blinding status, appropriate blinding, and methods to evaluate adverse events in randomized controlled trials with modified Jadad score, a significant difference was observed (PConclusionFindings from our study indicate that accelerated publication of Coronavirus Disease-19 researches along with the fast-track review process has resulted in lowering study quality scores. With the emergence of stronger evidence, Coronavirus Disease-19 clinical studies with lower methodological quality should be revisited.Impacts on practiceThere have been numerous sacrifices and tragedies in the clinical response to covid-19. Revising the quality of randomized controlled trials published on COVID-19 as we enter the third wave of the pandemic and beyond, will improve the evidence-based practice of medications for clinical pharmacy services.COVID-19 Patients will benefit from evidence-based pharmaceutical care through reduced drug-related problems.

Despite decreased blood use, there are supply limitations. Therefore, it is important to determine the number of people potentially eligible to donate blood. This study updates an analysis from 2007 to estimate the pool of eligible blood donors in the United States.We developed a revised epidemiologic model to account for changes in donor exclusion factors based on AABB standards. Donor exclusionary factors were identified and epidemiologic databases selected to enumerate the population prevalence of the donor exclusion factors. Prevalence data were adjusted for age, duration of exclusion, and comorbidities. The number of excluded individuals is calculated to estimate the current size of the eligible blood donor pool. The current study incorporates changes in demographic characteristics that have altered the pool of eligible blood donors.The pool of eligible blood donors increased by approximately 93.9 million from 111 million persons in 2007 to 204.9 million persons in 2018, while the population of the United States increased by 34 million persons (from 293 million to 327 million). The number of donor exclusion factors increased from 31 to 38. Overall, the pool of eligible blood donors increased from 37.9% to 62.6% of the total population. The single largest change impacting the pool of eligible blood donors is the inclusion of individuals 65 years and older, increasing the eligible blood donor pool by 51 million of the new 93.9 million persons However, this increase in number of potential donors 65 years and older is offset by a corresponding increase in the prevalence of donor exclusion factor impact in individuals aged 65 years and above.A very large number of people are potentially eligible to donate blood. Therefore, blood supply limitations appear to be due to other factors. We suggest that these factors are differences in social commitments by changing demographic populations and the elimination of high-cost blood collection operations by blood suppliers.

Newly discovered coronavirus has resulted in an infectious disease named Coronavirus disease (COVID-19). The outbreak of Coronavirus has caused many nations to exercise lockdowns to curb the spread of this virus. In this situation, there has been an upsurge in the usage of the internet and social media platforms. Therefore, amidst this pandemic, another crisis has also evolved; caused by the spread of incomplete and often inaccurate information which keeps leading to mass fear and anxiety. Hence it is high time to address this informational crisis and find the polarity of people’s sentiments towards COVID-19 situation so that authorized bodies can take suitable actions to cope with the situation and also review the prevalent systems. Currently, most of the sentiment analysis focus on texts, therefore we extracted sentiment from real-time tweets as well as from individual input image/video. By making use of PySpark and the libraries within it, we enabled scalable and fault-tolerant stream processing of live data stream. This study uses classification algorithms such as logistic regression, decision tree, random forest, Naive Bayes. After evaluation of all the models, logistic regression model was seen to have the highest values for accuracy and F_score. Hence this model has been used for the final sentiment analysis.

RNAs can have intricate and complex structures. Many RNAs have tertiary structure and long-range interactions that are key to their functions within cellular processes. However, current methods to identify these key interactions are often low-throughput, low resolution or limited in their application. In this work I introduce a new technology, SHAPE-JuMP. designed to better and more efficiently identify these key interactions. This technology employs a novel crosslinker whose covalent adducts with RNA are detected by a specialized reverse transcriptase, followed by next-generation sequencing to identify interactions throughout an RNA. The sequencing data generated by SHAPE-JuMP can then be processed and analyzed by ShapeJumper, a computational pipeline I developed. The new technologies were benchmarked with multiple RNAs of known structure. In conjunction, these experimental and computational tools allow for high-throughput detection of RNA interactions at nanometer resolution. One potential use of SHAPE-JuMP data was explored by guiding refinement of structural models for the benchmark RNA based on SHAPE-JuMP derived through-space contact measurements. The work described here lays a foundation for broad application of SHAPE-JuMP, which can be used to characterize or model many other complex RNA interactions under a variety of informative conditions.

Supplemental Digital Content is available in the text., Introduction: Utilization of robust quality improvement methodology in conjunction with traditional interventions to enhance an Early Mobility program (EMP) in a tertiary pediatric intensive care unit (PICU). Methods: EMP was implemented in our PICU in May 2017. The percentage of appropriate physical and occupational therapist consults were determined. We also evaluated the activity levels received by the patient and the levels for which they qualified based on their medical condition. Failure Modes and Effects Analysis (FMEA) was performed to identify potential complications related to the mobilization of critically ill children. We created 4 simulation scenarios based on FMEA prioritized results. Results: After the implementation of EMP, appropriate physical and occupational therapist consults significantly increased (P < 0.0001). However, most patients still failed to receive the optimal level of activity recommended by protocol. This failure was partly due to concern for safety events during mobilization. FMEA identified vital sign changes [Risk Priority Number (RPN) 97.8], staff injury (RPN 64), and pain/anxiety (RPN 60.5) as potential safety events. We performed various in-situ simulation sessions based on these potential events. In post-simulation evaluations, 100% of participants agreed that the simulation experience would improve their performance in the actual clinical setting. Feedback from simulations led to the development of an EM patient safety checklist and clinical pathway. Conclusions: We describe a novel technique of using FMEA to develop scenarios that simulate potential adverse events to optimize safe EM in PICU. An EM checklist and pathway can guide in the implementation of safe EMP.

Two post-secondary instructors and one K-12 Learning Commons teacher describe how interdisciplinary units of study were designed by undergraduate pre-service teachers and by in-service teachers in a junior high school. The interdisciplinary units focused on two or more disciplines and aimed to engage student learners in understanding a complex issue. Using a collaborative action research approach and through ongoing dialogue, the three educators worked together throughout the year to improve processes for supporting teachers in designing interdisciplinary units of study. Findings suggest teachers experience common challenges when working on interdisciplinary design teams regardless of the extent of their teaching experiences.