Engaging Middle School Students through Locally Focused Environmental Science Project-Based Learning

Increasing scientific literacy through education is one way to promote awareness of current environmental challenges, and can be enhanced through project-based learning (PBL), a pedagogical approach in which students explore authentic topics and demonstrate their learning publically. The National Science Foundation–funded GK–12 program at Iowa State University partnered doctoral-level graduate students (fellows) with middle and high school science teachers. This study analyzed results from one such middle school partnership in Iowa, where a PBL approach was implemented. Classroom practices focused on local environmental case studies of energy development, water pollution, soil science, climate change, plant biology, and ecology. Results from a student survey (n = 101), following a year with the PBL curricula, revealed significantly more positive attitudes and greater levels of engagement and confidence in scientific material relative to GK–12 peers (n = 329). Publicly submitted student letters to a government agency responsible for approving an oil pipeline project were also analyzed for scientific themes and levels of comprehension (n = 65). Overall, 60% of students demonstrated the ability to construct arguments by citing specific data and scientific evidence in the letters, and also incorporated topics covered in previous units (4–5 themes addressed on average per letter). Results demonstrate that a PBL approach in a middle school science classroom is a method to stimulate attitudes, engagement, confidence, and comprehension in the study of environmental topics. Discussion follows about improving K–12 science education to enhance public understanding and engagement around environmental policy issues

Engaging Middle School Students through Locally Focused Environmental Science Project-Based Learning

Increasing scientific literacy through education is one way to promote awareness of current environmental challenges, and can be enhanced through project-based learning (PBL), a pedagogical approach in which students explore authentic topics and demonstrate their learning publically. The National Science Foundation–funded GK–12 program at Iowa State University partnered doctoral-level graduate students (fellows) with middle and high school science teachers. This study analyzed results from one such middle school partnership in Iowa, where a PBL approach was implemented. Classroom practices focused on local environmental case studies of energy development, water pollution, soil science, climate change, plant biology, and ecology. Results from a student survey (n = 101), following a year with the PBL curricula, revealed significantly more positive attitudes and greater levels of engagement and confidence in scientific material relative to GK–12 peers (n = 329). Publicly submitted student letters to a government agency responsible for approving an oil pipeline project were also analyzed for scientific themes and levels of comprehension (n = 65). Overall, 60% of students demonstrated the ability to construct arguments by citing specific data and scientific evidence in the letters, and also incorporated topics covered in previous units (4–5 themes addressed on average per letter). Results demonstrate that a PBL approach in a middle school science classroom is a method to stimulate attitudes, engagement, confidence, and comprehension in the study of environmental topics. Discussion follows about improving K–12 science education to enhance public understanding and engagement around environmental policy issues

Effect of Metformin on miR-146a Expression

Sjögren’s Syndrome (SjS) is an autoimmune disorder that affects secretory glands in the human body, restricting their function and causing extreme dryness in areas like the mouth and eyes. miR-146a is an anti-inflammatory microRNA that targets the NFκB activation pathway. Previous studies have shown that SjS patients have increased miR-146a expression, despite having high levels of inflammation. The objective of this study was to investigate whether metformin, a diabetes drug with a wide variety of effects and potential functions, reduces levels of miR-146a expression. Metformin is known to reduce inflammation by inhibiting the activation of NFκB. THP-1 human monocytes were treated with various concentrations of metformin ranging from 12.5uM to 200uM. The cells were treated for 24 hours before total RNA was isolated, and qRT-PCR was utilized to compare miR-146a expression in metformin-treated versus untreated cells. Our results showed a dose-dependent decrease of miR-146a expression in the presence of metformin. These results are reasonable since miR-146a expression is dependent on NFκB activation, and metformin is known to inhibit the activation of NFκB. Further studies will investigate metformin’s ability to suppress inflammation in varying conditions

Microwave reflectometer ionization sensor

The development of the Microwave Reflectometer Ionization Sensor (MRIS) Instrument for use on the Aeroassist Flight Experiment (AFE) spacecraft is described. The instrument contract was terminated, due to cancellation of the AFE program, subsequent to testing of an engineering development model. The MRIS, a four-frequency reflectometer, was designed for the detection and location of critical electron density levels in spacecraft reentry plasmas. The instrument would sample the relative magnitude and phase of reflected signals at discrete frequency steps across 4 GHz bandwidths centered at four frequencies: 20, 44, 95, and 140 GHz. The sampled data would be stored for later processing to calculate the distance from the spacecraft surface to the critical electron densities versus time. Four stepped PM CW transmitter receivers were located behind the thermal protection system of the spacecraft with horn antennas radiating and receiving through an insulating tile. Techniques were developed to deal with interference, including multiple reflections and resonance effects, resulting from the antenna configuration and operating environment

Reducing Postoperative Opioids After Minimally Invasive Hysterectomy with Enhanced Recovery

I Introduction: We evaluated the efficacy of various strategies utilized for the control of postoperative pain after minimally invasive hysterectomy. The primary enhanced recovery after surgery (ERAS) protocol of interest utilized premedication (acetaminophen, celecoxib and pregabalin), then intraoperative subcutaneous liposomal bupivacaine followed by scheduled oral acetaminophen and ibuprofen postoperatively. Patients also had tramadol and oxycodone as needed for moderate or severe breakthrough pain, respectively. Materials and Methods: We conducted a retrospective cohort study that included all patients who underwent minimally invasive hysterectomy (total laparoscopic hysterectomy and laparoscopic-assisted vaginal hysterectomy) for both benign and oncologic indications over a 2-year period. We then compared six protocols, with 3 being ERAS protocols and 3 as traditional pain control methods. The control group was comprised of the traditional pain control group without intraoperative placement of local analgesia. Patient medical records were evaluated for demographics, surgical characteristics, opioid type and dose, pain scores, length of stay and complications. Opioids were converted to oral morphine dose equivalents. Results: 954 patients were included within the 6 protocols. Median opioid usage was the lowest in the ERAS group with premedication and highest in the control group (22.5mg versus 55.0mg, p Discussion: ERAS protocol with premedication was associated with significant reductions in postoperative opioid use and median pain scores when compared to traditional methods

Use of MCNP for characterization of reactor vessel internals waste from decommissioned nuclear reactors

This study describes the use of the Monte Carlo Neutron-Photon (MCNP) code for determining activation levels of irradiated reactor vessel internals hardware. The purpose of the analysis is to produce data for the Department of Energy`s Greater-Than-Class C Low-Level Radioactive Waste Program. An MCNP model was developed to analyze the Yankee Rowe reactor facility. The model incorporates reactor geometry, material compositions, and operating history data acquired from Yankee Atomic Electric Company. In addition to the base activation analysis, parametric studies were performed to determine the sensitivity of activation to specific parameters. A component sampling plan was also developed to validate the model results, although the plan was not implemented. The calculations for the Yankee Rowe reactor predict that only the core baffle and the core support plates will be activated to levels above the Class C limits. The parametric calculations show, however, that the large uncertainties in the material compositions could cause errors in the estimates that could also increase the estimated activation level of the core barrel to above the Class C limits. Extrapolation of the results to other reactor facilities indicates that in addition to the baffle and support plates, core barrels may also be activated to above Class C limits; however the classification will depend on the specific operating conditions of the reactor and the specific material compositions of the metal, as well as the use of allowable concentration averaging practices in packaging and classifying the waste

Comparative efficacy and acceptability of psychotherapies for panic disorder with or without agoraphobia: Systematic review and network meta-Analysis of randomised controlled trials

Background Psychotherapies are the treatment of choice for panic disorder, but which should be considered as first-line treatment is yet to be substantiated by evidence. Aims To examine the most effective and accepted psychotherapy for the acute phase of panic disorder with or without agoraphobia via a network meta-Analysis. Method We conducted a systematic review and network meta-Analysis of randomised controlled trials (RCTs) to examine the most effective and accepted psychotherapy for the acute phase of panic disorder. We searched MEDLINE, Embase, PsycInfo and CENTRAL, from inception to 1 Jan 2021 for RCTs. Cochrane and PRISMA guidelines were used. Pairwise and network meta-Analyses were conducted using a random-effects model. Confidence in the evidence was assessed using Confidence in Network Meta-Analysis (CINeMA). The protocol was published in a peer-reviewed journal and in PROSPERO (CRD42020206258). Results We included 136 RCTs in the systematic review. Taking into consideration efficacy (7352 participants), acceptability (6862 participants) and the CINeMA confidence in evidence appraisal, the best interventions in comparison with treatment as usual (TAU) were cognitive-behavioural therapy (CBT) (for efficacy: standardised mean differences s.m.d. =-0.67, 95% CI-0.95 to-0.39; CINeMA: moderate; for acceptability: relative risk RR = 1.21, 95% CI-0.94 to 1.56; CINeMA: moderate) and short-Term psychodynamic therapy (for efficacy: s.m.d. =-0.61, 95% CI-1.15 to-0.07; CINeMA: low; for acceptability: RR = 0.92, 95% CI 0.54-1.54; CINeMA: moderate). After removing RCTs at high risk of bias only CBT remained more efficacious than TAU. Conclusions CBT and short-Term psychodynamic therapy are reasonable first-line choices. Studies with high risk of bias tend to inflate the overall efficacy of treatments. Results from this systematic review and network meta-Analysis should inform clinicians and guidelines