The Effects of Simple and Complex Carbohydrates on Mood

Carbohydrates can be differentiated into two categories, simple carbohydrates and complex carbohydrates. Our study looks at the effects of simple versus complex carbohydrates on mood. An anonymous online survey was administered through various social media platforms, such as GroupMe, Instagram, and Facebook, as well as sent to friends and family. The survey included basic demographics questions and questions on the frequency of food consumption, dietary patterns in relation to specific food groups, and mood. Pearson Correlation Coefficient was used to analyze data in SPSS version 25.0. Our results suggest there is an association between a positive mood and consumption of complex carbohydrates, with less consumption of simple carbohydrates. Higher levels of mood were found to be associated with healthier food groups and a less processed diet.https://orb.binghamton.edu/research_days_posters_2023/1099/thumbnail.jp

Resilience of ecosystem service delivery in grasslands in response to single and compound extreme weather events

Extreme weather events are increasing in frequency and magnitude with profound effects on ecosystem functioning. Further, there is now a greater likelihood that multiple extreme events are occurring within a single year. Here we investigated the effect of a single drought, flood or compound (flood + drought) extreme event on temperate grassland ecosystem processes in a field experiment. To assess system resistance and resilience, we studied changes in a wide range of above- and below-ground indicators (plant diversity and productivity, greenhouse gas emissions, soil chemical, physical and biological metrics) during the 8 week stress events and then for 2 years post-stress. We hypothesized that agricultural grasslands would have different degrees of resistance and resilience to flood and drought stress. We also investigated two alternative hypotheses that the combined flood + drought treatment would either, (A) promote ecosystem resilience through more rapid recovery of soil moisture conditions or (B) exacerbate the impact of the single flood or drought event. Our results showed that flooding had a much greater effect than drought on ecosystem processes and that the grassland was more resistant and resilient to drought than to flood. The immediate impact of flooding on all indicators was negative, especially for those related to production, and climate and water regulation. Flooding stress caused pronounced and persistent shifts in soil microbial and plant communities with large implications for nutrient cycling and long-term ecosystem function. The compound flood + drought treatment failed to show a more severe impact than the single extreme events. Rather, there was an indication of quicker recovery of soil and microbial parameters suggesting greater resilience in line with hypothesis (A). This study clearly reveals that contrasting extreme weather events differentially affect grassland ecosystem function but that concurrent events of a contrasting nature may promote ecosystem resilience to future stress

The role of parental health and distress in assessing children’s health status

Purpose The purpose of the study was to examine the contributions of parents’ health and distress to parent’s and children’s assessments of children’s health. Methods We used baseline data from a longitudinal study of 364 children (ages 4–12) about to undergo surgery and their parents in a Southern California pediatric hospital. We used the 20-item child self-reported CHRIS 2.0 general health and the parallel parent-reported measure of the child’s health, along with a measure of parental distress about the child’s health were administered in the perioperative period. Other measures included parents’ physical and mental health, quality of life, distress over their child’s health, and number and extent of other health problems of the child and siblings. Results On average, parents’ reports about the child were consistently and statistically significantly higher than children’s self-reports across all sub-dimensions of the CHRIS 2.0 measure. Parents’ personal health was positively associated with their reports of the child’s health. More distressed parents were closer to the child’s self-reports, but reported poorer personal health. Conclusion Parent–child differences in this study of young children’s health were related to parental distress. Exploring the nature of the gap between parents and children in assessments of children’s health could improve effective clinical management for the child and enhance family-centered pediatric care. Future studies are needed to assess the generalizability of CHRIS 2.0 to other health settings and conditions and to other racial/ethnic groups

Georgia College & State University Nursing Program

In order to evaluate the effectiveness of the Georgia College & State University (GC&SU) Nursing Program, a non-experimental, survey research study was conducted by senior nursing students in the Nursing Research class. The survey evaluated the teaching and learning strategies used in the program, the students\u27 perceptions of preparedness for nursing after graduation, and the students\u27 perceptions of the strengths and weaknesses of the GC&SU nursing curriculum. Each participant signed an informed consent form. Forty-five out of a possible 142 nursing students responded to the survey. A statistical analysis of the responses was conducted and comparisons of answers were analyzed across the different nursing cohorts. Implications and recommendations for changes for the GC&SU Nursing Program were stated. As demand for registered nurses continues to increase, nursing programs in the United States are rising to meet this need by educating clinically proficient nurses. GC&SU nursing program graduates approximately 80 nursing students per year. In May 2003, 94% of the nursing graduates passed the licensure exam, helping fill the need in healthcare settings. Nursing faculty realize that they must prepare nurses who are adept at performing essential nursing skills including assessment, safe medication administration, nursing care for ill clients and health teaching

MUSE-ALMA Halos XI: Gas flows in the circumgalactic medium

The flow of gas into and out of galaxies leaves traces in the circumgalactic medium which can then be studied using absorption lines towards background quasars. We analyse 27 log(N_HI) > 18.0 HI absorbers at z = 0.2 to 1.4 from the MUSE-ALMA Halos survey with at least one galaxy counterpart within a line of sight velocity of +/-500 km s^{-1}. We perform 3D kinematic forward modelling of these associated galaxies to examine the flow of dense, neutral gas in the circumgalactic medium. From the VLT/MUSE, HST broadband imaging and VLT/UVES and Keck/HIRES high-resolution UV quasar spectroscopy observations, we compare the impact parameters, star-formation rates and stellar masses of the associated galaxies with the absorber properties. We find marginal evidence for a bimodal distribution in azimuthal angles for strong HI absorbers, similar to previous studies of the MgII and OVI absorption lines. There is no clear metallicity dependence on azimuthal angle and we suggest a larger sample of absorbers are required to fully test the relationship predicted by cosmological hydrodynamical simulations. A case-by-case study of the absorbers reveals that ten per cent of absorbers are consistent with gas accretion, up to 30 per cent trace outflows while the remainder trace gas in the galaxy disk, the intragroup medium and low-mass galaxies below the MUSE detection limit. Our results highlight that the baryon cycle directly affects the dense neutral gas required for star-formation and plays a critical role in galaxy evolution.Comment: 13 pages, 6 figures, 12 pages of appendix. Accepted for publication in MNRA

Impacts of abiotic stresses on the physiology and metabolism of cool-season grasses:A review

Grasslands cover more than 70% of the world's agricultural land playing a pivotal role in global food security, economy, and ecology due to their flexibility and functionality. Climate change, characterized by changes in temperature and precipitation patterns, and by increased levels of greenhouse gases in the atmosphere, is anticipated to increase both the frequency and severity of extreme weather events, such as drought, heat waves, and flooding. Potentially, climate change could severely compromise future forage crop production and should be considered a direct threat to food security. This review aimed to summarize our current understanding of the physiological and metabolic responses of temperate grasses to those abiotic stresses associated with climate change. Primarily, substantial decreases in photosynthetic rates of cool‐season grasses occur as a result of high temperatures, water‐deficit or water‐excess, and elevated ozone, but not CO2 concentrations. Those decreases are usually attributed to stomatal and non‐stomatal limitations. Additionally, while membrane instability and reactive oxygen species production was a common feature of the abiotic stress response, total antioxidant capacity showed a stress‐specific response. Furthermore, climate change‐related stresses altered carbohydrate partitioning, with implications for biomass production. While water‐deficit stress, increased CO2, and ozone concentrations resulted in higher carbohydrate content, the opposite occurred under conditions of heat stress and flooding. The extent of damage is greatly dependent on location, as well as the type and intensity of stress. Fortunately, temperate forage grass species are highly heterogeneous. Consequently, through intra‐ and in particular inter‐specific plant hybridization (e.g., Festuca x Lolium hybrids) new opportunities are available to harness, within single genotypes, gene combinations capable of combating climate change

Experimental Passage of St. Louis Encephalitis Virus In Vivo in Mosquitoes and Chickens Reveals Evolutionarily Significant Virus Characteristics

St. Louis encephalitis virus (SLEV; Flaviviridae, flavivirus) was the major cause of epidemic flaviviral encephalitis in the U.S. prior to the introduction of West Nile virus (WNV) in 1999. However, outbreaks of SLEV have been significantly more limited then WNV in terms of levels of activity and geographic dispersal. One possible explanation for these variable levels of activity is that differences in the potential for each virus to adapt to its host cycle exist. The need for arboviruses to replicate in disparate hosts is thought to result in constraints on both evolution and host-specific adaptation. If cycling is the cause of genetic stability observed in nature and arboviruses lack host specialization, then sequential passage should result in both the accumulation of mutations and specialized viruses better suited for replication in that host. Previous studies suggest that WNV and SLEV differ in capacity for both genetic change and host specialization, and in the costs each accrues from specializing. In an attempt to clarify how selective pressures contribute to epidemiological patterns of WNV and SLEV, we evaluated mutant spectra size, consensus genetic change, and phenotypic changes for SLEV in vivo following 20 sequential passages via inoculation in either Culex pipiens mosquitoes or chickens. Results demonstrate that the capacity for genetic change is large for SLEV and that the size of the mutant spectrum is host-dependent using our passage methodology. Despite this, a general lack of consensus change resulted from passage in either host, a result that contrasts with the idea that constraints on evolution in nature result from host cycling alone. Results also suggest that a high level of adaptation to both hosts already exists, despite host cycling. A strain significantly more infectious in chickens did emerge from one lineage of chicken passage, yet other lineages and all mosquito passage strains did not display measurable host-specific fitness gains. In addition, increased infectivity in chickens did not decrease infectivity in mosquitoes, which further contrasts the concept of fitness trade-offs for arboviruses

Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study.

BACKGROUND: The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. METHODS: We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient's age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. RESULTS: The median age in the sample of 7487 consecutive patients was 84 years (IQR 81-87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01). CONCLUSION: Knowledge about a patient's frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)

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

Determination of Xenobiotic and Endogenous Metabolites Using Ion Mobility-Mass Spectrometry and Machine Learning

Thesis (Ph.D.)--University of Washington, 2021Confident identification of xenobiotic and endogenous metabolites is central to applications including metabolomics, lipidomics, and drug metabolism studies. The integration of ion mobility spectroscopy with mass spectrometry enhances the information gained from such studies without significantly impacting their analytical throughput and increases confidence in identification of unknown metabolites through the measurement of collision cross section (CCS). The diversity of small molecule chemical space necessitates the ability to predict CCS with high accuracy, rather than relying solely upon experimental CCS databases for annotation of unknowns. This dissertation aims to demonstrate the various applications of IM-MS in the large- scale determination of endogenous and xenobiotic metabolites, in addition to theory-based CCS calculation and machine learning-based CCS-prediction. First, I discuss the curation of a comprehensive and diverse database of experimental CCS values sourced from the literature and the development of a comprehensive CCS prediction model using this large experimental database, while providing insight into the structural characteristics of endogenous and xenobiotic metabolites that determine their CCS. Next, I examine the IM-MS characteristics of a panel of drugs and in vitro-generated metabolites using human liver microsomes and S9 fraction, with in-depth computational modeling and theoretical CCS calculation to rationalize experimental observations. I then present the results from scaling the in vitro drug metabolite generation and IM-MS analysis to a high-throughput format and its application to a diverse collection of over 2000 drug and drug-like compounds in order to build a drug- and drug metabolite-specific CCS database for use in building a ML-based CCS prediction model for drugs and drug metabolites. Next, I discuss the development of a bioinformatic tool for the analysis of lipidomics data, which includes specialized models for the prediction of CCS and HILIC retention time, demonstrating how specialized predictive models can be built for specific chemical classes that leverage class- specific structural trends to produce high-accuracy CCS predictions. Finally, I summarize the principal conclusions of this collective work and provide perspective on how research in this area may continue to expand