TEACHER PREPARATION COST STUDY : A COMPARATIVE ANALYSIS OF UNC SYSTEM-LEVEL FINANCIAL INPUTS AGAINST CAMPUS-LEVEL PRODUCTIVITY OUTPUTS

The University of North Carolina General Administration has required all constituent institutions with teacher education programs to expand their productivity goals to meet the state's teacher workforce needs. This study examined education program funding over a three-year period by analyzing system-level financial inputs and campus-level productivity outputs to determine if financial support in the form of budgeted faculty has increased or decreased relative to prospective teachers produced, SCHs produced, and education degrees conferred. The analysis provides information that could potentially impact funding streams for teacher preparation programs across the University. This research will assist policy-makers and higher education leaders, and enhance strategic planning efforts underway in the University aimed at addressing teacher supply and demand needs for the State.Ed.D

DATA SHARING TO DRIVE THE IMPROVEMENT OF TEACHER PREPARATION PROGRAMS

Background/Context: Teacher preparation programs (TPPs) face increasing pressure from the federal government, states, and accreditation agencies to improve the quality of their practices and graduates, yet they often do not possess enough data to make evidence-based reforms. Purpose/Objective: This manuscript has four objectives: (a) to present the strengths and shortcomings of accountability-based TPP evaluation systems; (b) to detail the individual-level data being shared with TPPs at public universities in North Carolina; (c) to describe how data sharing can lead to TPP improvement and the challenges that programs will need to overcome; and (d) to detail how three TPPs are using the data for program improvement. Setting: North Carolina public schools and schools of education at public universities in North Carolina. Importantly, this individual-level data sharing system can be instituted among TPPs in other states. Population/Participants/Subjects: Teachers initially-prepared b

A Generic Expert Scheduling System Architecture and Toolkit: GUESS (Generically Used Expert Scheduling System)

Scheduling has become an increasingly important element in today's society and workplace. Within the NASA environment, scheduling is one of the most frequently performed and challenging functions. Towards meeting NASA's scheduling needs, a research version of a generic expert scheduling system architecture and toolkit has been developed. This final report describes the development and testing of GUESS (Generically Used Expert Scheduling System)

Budesonide and Formoterol Reduce Early Innate Anti-Viral Immune Responses In Vitro

Asthma is a chronic inflammatory airways disease in which respiratory viral infections frequently trigger exacerbations. Current treatment of asthma with combinations of inhaled corticosteroids and long acting beta2 agonists improves asthma control and reduces exacerbations but what impact this might have on innate anti-viral immunity is unclear. We investigated the in vitro effects of asthma drugs on innate anti-viral immunity. Peripheral blood mononuclear cells (PBMC) from healthy and asthmatic donors were cultured for 24 hours with the Toll-like receptor 7 agonist, imiquimod, or rhinovirus 16 (RV16) in the presence of budesonide and/or formoterol. Production of proinflammatory cytokines and expression of anti-viral intracellular signalling molecules were measured by ELISA and RT-PCR respectively. In PBMC from healthy donors, budesonide alone inhibited IP-10 and IL-6 production induced by imiquimod in a concentration-dependent manner and the degree of inhibition was amplified when budesonide and formoterol were used in combination. Formoterol alone had little effect on these parameters, except at high concentrations (10−6 M) when IL-6 production increased. In RV16 stimulated PBMC, the combination of budesonide and formoterol inhibited IFNα and IP-10 production in asthmatic as well as healthy donors. Combination of budesonide and formoterol also inhibited RV16-stimulated expression of the type I IFN induced genes myxovirus protein A and 2′, 5′ oligoadenylate synthetise. Notably, RV16 stimulated lower levels of type Myxovirus A and oligoadenylate synthase in PBMC of asthmatics than control donors. These in vitro studies demonstrate that combinations of drugs commonly used in asthma therapy inhibit both early pro-inflammatory cytokines and key aspects of the type I IFN pathway. These findings suggest that budesonide and formoterol curtail excessive inflammation induced by rhinovirus infections in patients with asthma, but whether this inhibits viral clearance in vivo remains to be determined

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

TEACHER PREPARATION COST STUDY : A COMPARATIVE ANALYSIS OF UNC SYSTEM-LEVEL FINANCIAL INPUTS AGAINST CAMPUS-LEVEL PRODUCTIVITY OUTPUTS

The University of North Carolina General Administration has required all constituent institutions with teacher education programs to expand their productivity goals to meet the state's teacher workforce needs. This study examined education program funding over a three-year period by analyzing system-level financial inputs and campus-level productivity outputs to determine if financial support in the form of budgeted faculty has increased or decreased relative to prospective teachers produced, SCHs produced, and education degrees conferred. The analysis provides information that could potentially impact funding streams for teacher preparation programs across the University. This research will assist policy-makers and higher education leaders, and enhance strategic planning efforts underway in the University aimed at addressing teacher supply and demand needs for the State

Intangible Design Factors in New Product Development: The Value of Net Emotional Effect

In today\u27s marketplace, consumers are presented with an often astounding number of choices when selecting even the most mundane of products. Product variety is commonplace, especially in competitive mature sectors where manufacturers are constantly looking for innovative ways to form a connection with consumers. This connection, however, is not always only based on which product actually best satisfies customer needs, has the best quality/technology, or represents the best economic value. Product preferences are often largely based on intangible factors tied to emotion, knowledge, and experience