Inventory of County Records, Rains County Courthouse, Emory, Texas

Annotated inventory of records documenting the history of Rains County, housed in the Rains County Courthouse (Emory, Texas), including an overview of the county government offices. Index starts on page 61

An Analysis of Charging Practices and their Impact on Battery Degradation in North American Electric Vehicles Built Between 2010-2020

Electric vehicles (EVs) are emerging as a component of the global solution to combat climate change. However, in North America, particularly in the United States and Canada, the transition away from internal combustion engines (ICE) has been slow. North America faces unique challenges due to its geographical size and population in comparison to other continents. The good news is that EV adoption is increasing within North America. Along with increased EV adoption, governments and public companies are constructing charging infrastructure to support increased consumer EV purchases. Despite increased adoption, many future and current owners throughout North American society have concerns about an electric vehicles’ key feature: the battery. Many EV owners are concerned about the battery's State of Health (SOH) – how to keep batteries healthy and use best practices to keep their range at maximum capacity. SOH is influenced by five key factors: (1) temperature, (2) charge/discharge rate, (3) charge/discharge depth, (4) cyclic charging, and (5) ending State of Charge (SOC). This study primarily focuses on data centered around charging. This dissertation examines data generated by everyday EV users and uses it to predict how charging habits affect batteries over time. Charging effects include decreasing battery SOH and capacity degradation. Lowering the SOH reduces the battery's viability for continuous use; at approximately 70% SOH the battery is 'typically' deemed End of Life (EoL). The overall range of the EV is affected by capacity degradation; as batteries degrade, the total km (or miles) available decreases. This study uses regression analysis to examine relationships and predictors of SOH, temperature, levels of charging, and SOC. The data collected and analyzed determine best practices for charging batteries at home and abroad for consumers. There were two methods for analyzing data: (1) Using EV generated data (SOH, Charger Type) saved in CSV files via a smartphone application, and (2) Analyzing consumed energy in a large dataset using a segmentation process based on equivalent SOC differences between two points in time. The current study makes use of one of the largest datasets of "real world" data ever collected from EVs in the United States and Canada, with over one million lines. Eighteen models of EVs are used to make comparisons for amounts of degradation over one year. A discussion of how these findings affect EV owners’ usage of models from 2010-2020 is included. Multiple recommendations for future studies are provided

Inventory of County Records, Coleman County Courthouse, Coleman, Texas

Annotated inventory of records documenting the history of {{{county}}} County, housed in the Coleman County Courthouse (Coleman, Texas), including an overview of the county government offices. Index starts on page 94

The language profile of formal thought disorder

Formal thought disorder (FTD) is clinically manifested as disorganized speech, but there have been only few investigations of its linguistic properties. We examined how disturbance of thought may relate to the referential function of language as expressed in the use of noun phrases (NPs) and the complexity of sentence structures. We used a comic strip description task to elicit language samples from 30 participants with schizophrenia (SZ), 15 with moderate or severe FTD (SZ + FTD), and 15 minimal or no FTD (SZ−FTD), as well as 15 first-degree relatives of people with SZ (FDRs) and 15 neurotypical controls (NC). We predicted that anomalies in the normal referential use of NPs, sub-divided into definite and indefinite NPs, would identify FTD; and also that FTD would also be linked to reduced linguistic complexity as specifically measured by the number of embedded clauses and of grammatical dependents. Participants with SZ + FTD produced more referential anomalies than NC and produced the fewest definite NPs, while FDRs produced the most and thus also differed from NC. When referential anomalies were classed according to the NP type in which they occurred, the SZ + FTD group produced more anomalies in definite NPs than NC. Syntactic errors did not distinguish groups, but the SZ + FTD group exhibited significantly less syntactic complexity than non-SZ groups. Exploratory regression analyses suggested that production of definite NPs distinguished the two SZ groups. These results demonstrate that FTD can be identified in specific grammatical patterns which provide new targets for detection, intervention, and neurobiological studies

A New Approach to Evaluate and Reduce Uncertainty of Model-Based Biodiversity Projections for Conservation Policy Formulation

Biodiversity projections with uncertainty estimates under different climate, land-use, and policy scenarios are essential to setting and achieving international targets to mitigate biodiversity loss. Evaluating and improving biodiversity predictions to better inform policy decisions remains a central conservation goal and challenge. A comprehensive strategy to evaluate and reduce uncertainty of model outputs against observed measurements and multiple models would help to produce more robust biodiversity predictions. We propose an approach that integrates biodiversity models and emerging remote sensing and in-situ data streams to evaluate and reduce uncertainty with the goal of improving policy-relevant biodiversity predictions. In this article, we describe a multivariate approach to directly and indirectly evaluate and constrain model uncertainty, demonstrate a proof of concept of this approach, embed the concept within the broader context of model evaluation and scenario analysis for conservation policy, and highlight lessons from other modeling communities

Genes for de novo biosynthesis of omega-3 polyunsaturated fatty acids are widespread in animals

This work received funding from the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) funded by the Scottish Funding Council (grant reference HR09011), and their support is gratefully acknowledged. Access to the Institute of Aquaculture laboratories was funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 262336 (AQUAEXCEL), Transnational Access Project Number 0095/06/03/13.Marine ecosystems are responsible for virtually all production of omega-3 (ω3) long- chain polyunsaturated fatty acids (PUFA), essential nutrients for vertebrates. Current consensus is that marine microbes account for this production, given they have key enzymes including methyl-end (or “ωx”) desaturases. ωx desaturases have also been described in a small number of animals, but their precise distribution has not been systematically explored. This study identifies 121 ωx desaturase sequences from 80 species within the Cnidaria, Rotifera, Mollusca, Annelida and Arthropoda. Horizontal Gene Transfer contributed to this hitherto unknown widespread distribution. Functional characterization of animal ωx desaturases provides evidence that multiple invertebrates have the ability to produce ω3 PUFA de novo and further biosynthesize ω3 long-chain PUFA. This represents a fundamental revision in our understanding of ω3 long- chain PUFA production in global food webs, as numerous widespread and abundant invertebrates have the endogenous capacity to make significant contributions beyond that coming from marine microbes.Publisher PDFPeer reviewe

Effects of Light, Food Availability and Temperature Stress on the Function of Photosystem II and Photosystem I of Coral Symbionts

Background: Reef corals are heterotrophic coelenterates that achieve high productivity through their photosynthetic dinoflagellate symbionts. Excessive seawater temperature destabilises this symbiosis and causes corals to "bleach," lowering their photosynthetic capacity. Bleaching poses a serious threat to the persistence of coral reefs on a global scale. Despite expanding research on the causes of bleaching, the mechanisms remain a subject of debate.\ud \ud Methodology/Principal Findings: This study determined how light and food availability modulate the effects of temperature stress on photosynthesis in two reef coral species. We quantified the activities of Photosystem II, Photosystem I and whole chain electron transport under combinations of normal and stressful growth temperatures, moderate and high light levels and the presence or absence of feeding of the coral hosts. Our results show that PS1 function is comparatively robust against temperature stress in both species, whereas PS2 and whole chain electron transport are susceptible to temperature stress. In the symbiotic dinoflagellates of Stylophora pistillata the contents of chlorophyll and major photosynthetic complexes were primarily affected by food availability. In Turbinaria reniformis growth temperature was the dominant influence on the contents of the photosynthetic complexes. In both species feeding the host significantly protected photosynthetic function from high temperature stress.\ud \ud Conclusions/Significance: Our findings support the photoinhibition model of coral bleaching and demonstrate that PS1 is not a major site for thermal damage during bleaching events. Feeding mitigates bleaching in two scleractinian corals, so that reef responses to temperature stresses will likely be influenced by the coinciding availabilities of prey for the host

A process-based model of conifer forest structure and function with special emphasis on leaf lifespan

We describe the University of Sheffield Conifer Model (USCM), a process-based approach for simulating conifer forest carbon, nitrogen, and water fluxes by up-scaling widely applicable relationships between leaf lifespan and function. The USCM is designed to predict and analyze the biogeochemistry and biophysics of conifer forests that dominated the ice-free high-latitude regions under the high pCO2 “greenhouse” world 290–50 Myr ago. It will be of use in future research investigating controls on the contrasting distribution of ancient evergreen and deciduous forests between hemispheres, and their differential feedbacks on polar climate through the exchange of energy and materials with the atmosphere. Emphasis is placed on leaf lifespan because this trait can be determined from the anatomical characteristics of fossil conifer woods and influences a range of ecosystem processes. Extensive testing of simulated net primary production and partitioning, leaf area index, evapotranspiration, nitrogen uptake, and land surface energy partitioning showed close agreement with observations from sites across a wide climatic gradient. This indicates the generic utility of our model, and adequate representation of the key processes involved in forest function using only information on leaf lifespan, climate, and soils

Connecting Earth Observation to High-Throughput Biodiversity Data

There is much interest in using Earth Observation (EO) technology to track biodiversity, ecosystem functions, and ecosystem services, understandable given the fast pace of biodiversity loss. However, because most biodiversity is invisible to EO, EO-based indicators could be misleading, which can reduce the effectiveness of nature conservation and even unintentionally decrease conservation effort. We describe an approach that combines automated recording devices, high-throughput DNA sequencing, and modern ecological modelling to extract much more of the information available in EO data. This approach is achievable now, 62 offering efficient and near-real time monitoring of management impacts on biodiversity and its functions and services

Connecting Earth observation to high-throughput biodiversity data

Understandably, given the fast pace of biodiversity loss, there is much interest in using Earth observation technology to track biodiversity, ecosystem functions and ecosystem services. However, because most biodiversity is invisible to Earth observation, indicators based on Earth observation could be misleading and reduce the effectiveness of nature conservation and even unintentionally decrease conservation effort. We describe an approach that combines automated recording devices, high-throughput DNA sequencing and modern ecological modelling to extract much more of the information available in Earth observation data. This approach is achievable now, offering efficient and near-real-time monitoring of management impacts on biodiversity and its functions and services