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Aerial Phytomass and Carbon Sequestrated by the Kitshanga Forest Massif in the Wamba Valley in Dr-Congo
Get PDFAerial phytomass and carbon sequestrated by the Kitshanga forest massif in the Wamba valley in DR-Congo. The general objective was to evaluate the aerial phytomass and the carbon contained in the ligneous tissues of the trees. Specifically, the research aims to: (i) inventory all individuals in the Kitshanga gallery forest; (ii) identify the species in the study area; (iii) determine the floristic composition and density of the stand studied and (iv) evaluate the phytomass and the carbon sequestered by this vegetation. Inventory devices full on 1 hectare subdivided by 400 m² to obtain 25 plots which constitute the size of the sample. Individuals with a diameter ≥ 10 cm at 1.3 m were subject to allometric measurements. Lianas and herbs have not been considered. The main results reveal 59 species, belonging to 23 families of which the Fabaceae/Caesalpinioideae predominate. The density totals 299 trees; an aboveground biomass of 242.66 t/ha; 121.33 t/ ha of carbon corresponding to 444.92 t/ ha CO2 equivalent. Of this value, Antrocaryon nannanii totals 60.26 t/ha of dry matter; 30.13 t/ ha of carbon and 110.50 t/ ha of CO2 equivalent. The results obtained open the way to the evaluation of the contribution of this gallery forest in a humid tropical climate for the production of biomass and carbon sequestration. Further studies are necessary in order to have a database from which periodic evaluations of biomass production can be made
XI: Dwelling Writing Thinking: Traces of Being Songs of Elduvík Hölderlin’s “In lovely blue…” Remembrance The Ister
No full textLieblicher Cousin Holz / Beloved cousin Holz, welcome once again to my Gehäus! 1 2Please make yourself comfortable on this bench beside me. Remembered conversations bring us back here. New questions to share. Neither of us has a guess where we will ramble during the adventure. Thinking about your beloved Ister / Donau / Danube flowing through the Schwarzwald / Black Forest we found our way, unexpectedly, to Kant’s Erhabene / Sublime. Only after making a visit north of Norway to Svalbard. Der Ister, begins with you calling for daylight allowing you to carefully, reverently observe what will present itself to you. What is placed in front of us is not always easily grasped. In that forest-theater you hoped to hear a call from the forest, inviting you to remain a dweller right there. Having left there twice you returned twice, abruptly, back to your home. The forest called you back home. We sit here now in my Gehäus — an old poetic word for a place, a home calling for thinkers to dwell together. Gehäus also has connections to a theater as I noted in Hieronymus’ Bench. We are called to dwell where we may be able to learn through what presents itself to us.https://corescholar.libraries.wright.edu/wine_journey/1012/thumbnail.jp
Generative AI (GAN & VAE) in Motion Sickness Research
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Impact of Abortion Restrictions on Childhood Health Outcomes
Get PDFAbortion has been a topic for debate in the U.S. for decades. With the Supreme Court’s recent overturning of Roe v. Wade, many pro-abortion advocates fear for the looming effects this policy change will have on healthcare. In this study we aim to study how abortion access or lack thereof influences childhood healthcare outcomes. Past research has shown a negative impact of abortion restrictions on infant survival, future socioeconomic success, and the U.S. foster care system. Using data collected from County Health Rankings & Roadmaps and three abortion restriction levels created from Guttmacher, we found that states with restrictions had significantly higher infant mortality rates, percent of low birth weight, children living in poverty, and uninsured children. Conversely, states with protections had higher juvenile arrest rates and lower high school graduation rates. This shows that abortion restrictions negatively impact childhood healthcare outcomes materialize largely at younger ages
Maternal Health Predictors in Ohio
Get PDFBackground: Ohio has continued to have a maternal mortality rate higher than the average which has posed the question of how geographic location, socioeconomic status, and demographics affect these rates.Objective: This paper aims to investigate the relationship between variables affecting maternal mortality rates in Ohio such as teen birth rates and primary care physician access with where one lives between Rural and Urban areas and their household income in order to provide more information for future research.Methods: This paper utilized County Health Rankings and statistical and correlation analysis with SPSS to analyze rates across counties in Ohio.Results: The study found that there were significant relationships between the change in primary care access over the last decade in Ohio, teen birth rates in rural vs urban areas, and household income in rural areas which all have the potential to impact maternal mortality rates in Ohio
Exploring the Socioeconomic Drivers of Type 2 Diabetes Mellitus Prevalence and Their Implications for Treatment in the Midwest
Get PDFType 2 Diabetes Mellitus (T2DM) is a leading chronic disease globally with its prevalence steadily rising and significantly impacting public health systems. Previous research has indicated correlations between resource scarcity, low income, and limited education completion and T2DM prevalence. However, the degree of influence of these factors on incidence and progression remains unclear. This study aims to identify the most significant socioeconomic determinants of T2DM prevalence and progression in the Midwest to aid healthcare providers in creating maximally effective T2DM treatment plans. Methods include using data from County Health Rankings & Roadmaps (CHR&R) for Ohio, Illinois, Indiana, and Michigan. We employed ANOVA to compare T2DM prevalence, paired t-tests for state-level comparisons, stepwise regression to identify key socioeconomic predictors, and Spearman correlations. Results revealed that Ohio had the highest T2DM prevalence at 10.75%, significantly higher than Illinois (9.78%), Michigan (9.86%), and Indiana (10.60%). When exploring socioeconomic factors, the best fitting regression model accounted for 77.6% of variance in T2DM. Food insecurity emerged as the most significant predictor (B = -.0000073, t = 5.45, p \u3c .001), suggesting a strong inverse relationship between food insecurity and diabetes prevalence. Median household income had some predictive power (B = -3.10E-5 t = -4.25, p \u3c .001) and high school completion did not. Access to exercise opportunities was negatively correlated with physical inactivity (-0.527, p\u3c.0.001). We urge providers in Ohio and surrounding states to prioritize addressing food insecurity and enhancing exercise opportunities as part of a comprehensive approach to developing T2DM interventions and treatment plans
An Investigation Into the Use of Rates of Uninsurance as a Marker for Community Health in the State of Ohio
Get PDFObjective: Previous studies have shown a correlation between rates of uninsurance and worse health outcomes. However, the efficacy of utilizing uninsurance rates as a marker for community health has not been clearly shown. Therefore, this study investigates how rates of uninsurance in Ohio correlate with worse health outcomes, as well as how Ohio counties utilize health insurance.Methods: County Health Rankings was used look at rates of uninsurance among adults and children in Ohio along with diabetes prevalence, preventable hospitalizations, and premature death. T-tests, ANOVA, and Pearson and Spearman correlations were utilized to determine the effects of uninsurance rates on the various health outcomes.Results: We found a significant difference (r=0.327, p=0.002) between rates of uninsurance and diabetes in Ohio. Which points to how higher uninsurance rates in each county can be a marker of worse outcomes. However, the correlations between uninsurance rates and health indicators, such as preventable hospitalizations, years of life lost, and diabetes rates among children, did not reveal data suggesting worse health in these communities. Ohio has similar rates of uninsurance in comparison to Indiana, and both states have higher rates of uninsurance in comparison to Kentucky (F=22.480, p=\u3c0.001). In addition, Ohio’s rate of uninsurance has increased between 2016 and 2023 (t=-40.63, p=\u3c.001). Finally, there was no statistical difference between uninsurance rates and years of life lost or uninsurance among children and adulthood diabetes. Overall, while uninsurance rates seem to provide a potential link to determining a community\u27s health, additional metrics need to be developed and implemented to strengthen their application
Comparing Approaches to Estimating Person Parameters for the MUPP Model
Get PDFThis study compared maximum a posteriori (MAP), expected a posteriori (EAP), and Markov Chain Monte Carlo (MCMC) approaches to computing person scores from the Multi-Unidimensional Pairwise Preference Model. The MCMC approach used the No-U-Turn sampling (NUTS). Results suggested the EAP with fully crossed quadrature and the NUTS outperformed the others when there were fewer dimensions. In addition, the NUTS produced the most accurate estimates in larger dimension conditions. The number of items per dimension had the largest effect on person parameter recovery
The Architecture of Annihilation: Freud’s Death Drive in King and Siddons
No full textSigmund Freud’s theory of the death drive, or Thanatos, indicates a deeper psychological framework for interpreting the horror in both texts. Freud argues that human beings possess an unconscious compulsion toward repetition, destruction, and a return to an inorganic state. In The Shining and The House Next Door, haunted spaces operate as an externalization of this death drive, revealing that the true source of horror lies not in external supernatural forces, but in the irresistible pull toward self-destruction inherent in the human psyche