Miracle-dz/UniFAR-FTUs huggingface dataset:
Geothermometry Mapping of Deep Hydrothermal Reservoirs in Southeastern Idaho: Final Report

tions of these water samples can be used to assess the likely reservoir temperatures of the geothermal sites as well as to # $% # & ' show that the reservoir temperatures estimated using water compositions measured surface thermal features and wells ( $% ) ( * ( + # ) re-equilibrated within the aquifer resulting in a lower estimated temperature than that calculated using the hot spring. * ! * ( , / 0 # the sources when estimating reservoir temperatures.
Volcanic Glass as a Paleoenvironmental Proxy: Comparing Preparation Methods on Ashes from the Lee of the Cascade Range in Oregon, USA

This Thesis is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Carlson, Tessa Boe, "Volcanic Glass as a Paleoenvironmental Proxy: Comparing Preparation Methods on Ashes from the Lee of the Cascade Range in Oregon, USA" (2018). Dissertations and Theses. Paper 4472.
Designing Lightweight 3D-Printable Bioinspired Structures for Enhanced Compression and Energy Absorption Properties

Recent progress in additive manufacturing, also known as 3D printing, has offered several benefits, including high geometrical freedom and the ability to create bioinspired structures with intricate details. Mantis shrimp can scrape the shells of prey molluscs with its hammer-shaped stick, while beetles have highly adapted forewings that are lightweight, tough, and strong. This paper introduces a design approach for bioinspired lattice structures by mimicking the internal microstructures of a beetle’s forewing, a mantis shrimp’s shell, and a mantis shrimp’s dactyl club, with improved mechanical properties. Finite element analysis (FEA) and experimental characterisation of 3D printed polylactic acid (PLA) samples with bioinspired structures were performed to determine their compression and impact properties. The results showed that designing a bioinspired lattice with unit cells parallel to the load direction improved quasi-static compressive performance, among other lattice structures. The gyroid honeycomb lattice design of the insect forewings and mantis shrimp dactyl clubs outperformed the gyroid honeycomb design of the mantis shrimp shell, with improvements in ultimate mechanical strength, Young’s modulus, and drop weight impact. On the other hand, hybrid designs created by merging two different designs reduced bending deformation to control collapse during drop weight impact. This work holds promise for the development of bioinspired lattices employing designs with improved properties, which can have potential implications for lightweight high-performance applications.
Unraveling the Dimensions of E-Servicescape and its Influence on E-Grocery Shopping Intention: Application of Stimulus-Organism-Response (S-O-R) Framework

This study aims to identify the dimensions of e-servicescape and to analyze the influence of these dimensions on customers e-grocery shopping intention. Based on the dimensions of e-servicescape proposed by Harris and Goode (2010) and the S–O–R framework proposed by Mehrabian and Russel (1974), a conceptual model was developed. The proposed model considered e-servicescape environment as stimuli, internal response (i.e., attitude and trust) as organism and online purchase intention as behavioral response. Data were collected from 200 respondents who purchase grocery items from e-commerce websites of Bangladesh. The PLS-SEM using SmartPLS V.3.3. 3 evaluated the proposed model. The results revealed that financial security has positive influence on attitude towards website. The results also show a significant positive impact of aesthetic appeal, functionality and layout and financial security on trust in website. Finally, the study confirms that purchase intention is positively influenced by attitude towards website and trust in website. Stakeholders of e-commerce websites of Bangladesh can be benefitted from this study.
Next Generation Sequencing in Detecting Oral Cancer Due to Tobacco Consumption

DNA sequence DNA Sequencing is the first step in establishing phylogenetic trees, protein structure prediction, diagnosis of cancer, discovery of drugs and hence its importance cannot be underestimated. DNA sequencing finds its use in the diagnosis of oral squamous cell carcinoma (OSCC). Oral Cancer is the most common occurring malignancies in the world, especially in India where the prevalence for smoking, Areca nut chewing coupled with a lifestyle that encourages these two activities as fashion are left many people diagnosed with OSCC. Patients with this OSCC are more likely unaware of its side effects and over time might suffer from facial deformity. The importance to understanding the symptoms, prevention and treatment of oral cancer is very much essential today. In this paper, we looked at over 2000 odd papers published and look at the correlation between the next Generation DNA sequencing algorithms (NGS) play an important role in diagnosis of OSCC. This is a further study on some of the papers which have highlighted NGS role in OSCC Diagnosis. We did like to see a comprehensive review on the papers published so far. In the discussion, we will see frequently mutated genes in the OSCC, recent discoveries and OSCC treatment based on the findings.
Topographic complexity and benthic community variability within a kelp forest in Monterey Bay, CA : a thesis ...

Geological features are enduring and recurrent and therefore, can act as indicators of habitat and community types across a range of scales. By understanding species and habitat associations, predictions of species composition can be made about a benthic community based on available habitat. In a kelp forest, topographic complexity can affect an organism, by modifying flow, altering food availability, altering light availability, and provide refuges and barriers that fragment the habitat. There are many qualitative ways to evaluate topographic complexity. Rugosity is a quantitative measure and is defined as the ratio of surface area to planar area. Using habitat maps developed in GIS from multibeam bathymetry data, regions of varying rugosity were mapped in southern Monterey Bay, CA. Associated benthic communities were examined to elucidate spatial patterns and similarities in community composition. In addition, transect rugosity, significant wave height (Hs), depth, the number of edges, the number of walls and the number of crevices were used to compare environmental spatial patterns with biological spatial patterns. Results from non-metric multidimensional scaling (MDS) plots and Analysis of Similarity (ANOSIM) indicated no differences among high, medium or low rugosity classes, but did indicate significant sample site differences. Results from a Biological-Environmental (BIO-ENV) analysis procedure suggest that Hs, transect rugosity and depth correlate best with community composition variation, but only explain up to 0.35 of the variation. It is apparent that benthic kelp forest communities are difficult to predict with remote sensing techniques due to the multidimensional aspect of numerous species and environmental variables. Spatial autocorrelation of species within the communities makes it difficult to design parametric
An Outbreak of Infectious Coryza in an Emu farm at Tirupati, Andhra Pradesh, India

About 18 Infra orbital sinus swabs were collected from the dead or sacrificed emu birds. The skin over the sinus was seared with hot spatula and incised with a sterile scalpel blade. The cotton swab was inserted into the sinus cavity. Gentle milking pressure was exerted on the sinus area and the mucus was forced from the nostril while collecting the samples from live birds. The mucus was collected with a sterile cotton swab. Six nasal swabs were also collected and aseptically collected swabs were soaked in 30 % In the last few years, emu farming has gained more attention and popularity among the poultry farmers of southern India especially Andhra Pradesh. Infectious Coryza is primarily considered to be a disease of chicken even though the outbreaks have also been reported from guinea fowl and turkeys. An acute respiratory disease with high morbidity and mortality among emu chicks was reported from an emu farm located in the outskirts of Tirupati, Andhra Pradesh. The clinical signs observed were coughing, sneezing along with severe swelling of infra orbital sinus and adjacent paranasal sinuses suggestive of infectious coryza. The presence of Avibacterium paragallium in the samples was confirmed by PCR. In the best of our knowledge this is the first report of infectious coryza in emu birds. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 03 (2019) Journal homepage: http://www.ijcmas. com
Multi-level identification performance for RC-based control-oriented model of the UK office archetype

Resistance-capacitance-based grey-box models are widely adopted as one of the modelling solutions in model-predictive controls. These models have been evaluated to determine the optimal level of complexity in standardised cases. However, further evaluations are needed to draw more universal conclusions across diverse scenarios, modelling approaches, and operational conditions. In this study, a series of grey-box models were identified by MPCPy based on a British office model, followed by a parametric analysis on model format, modelling details, training data volume, and validation periods. The R2C2 model yielded the most accurate predictions with less deviations, and more accurate estimations were observed in multi-zone models. Additionally, it is suggested to consider direct normal irradiance as a modelling input in multi-zone models, and adaptive re-calibrations are recommended when significant changes in solar radiations occur.
High‐Pressure γ‐CaMgSi2O6: Does Penta‐Coordinated Silicon Exist in the Earth's Mantle?

In situ X‐ray diffraction experiments with natural Fe‐ and Al‐ bearing diopside single crystals and density functional theory (DFT) calculations on diopside end‐member composition indicate the existence of a new high‐pressure γ‐diopside polymorph with rare penta‐coordinated silicon. On compression α‐diopside transforms to the γ‐phase at ∼50 GPa, which in turn, on decompression is observed to convert to the known β‐phase below 47 GPa. The new γ‐diopside polymorph constitutes another recent example of penta‐coordinated silicon (VSi) in overcompressed metastable crystalline silicates, suggesting that VSi may exist in the transition zone and the uppermost lower mantle in appreciable quantities, not only in silicate glass and melts but also in crystalline phases contained in the coldest parts of subducted stagnant slabs. VSi may have significant influences on buoyancy, wave velocity anomalies, deformation mechanisms, chemical reactivity of silicate rocks, and seismicity within the slab.
The Influence of Job Satisfaction and Transformational Leadership on Innovative Work Behavior with Knowledge Sharing as a Mediation Variable in Private Bank

The purpose of this observation is to determine whether these factors have an impact on creative work practices among employees of Private Banks. considering that current technological developments have given rise to intense competition in the financial industry. For this reason, the company's human resources are expected to be able to integrate technology into financial practices and create new products. This observation uses a quantitative approach with data analysis methods using SEM PLS. The total population is 343 employees and the sampling technique is random sampling with a total of 185 employees. Observation data was collected through distributing questionnaires. The observation The findings indicate that creative work behavior is positively and significantly impacted by transformational leadership, knowledge sharing, and partial job satisfaction. Knowledge sharing is greatly and favorably impacted by transformational leadership in the workplace satisfaction. Then, the knowledge-sharing variable was proven to be able to serve as a go-between for the relationship between transformative leadership's effects and innovative work practices on job satisfaction.
Effects of Postharvest Storage Temperature on Physical Characteristic, Phenolic Compounds, and Antioxidant Activity of Cocoa Pod Husk

Cocoa pod husk (CPH) is a good source of bioactive components such as phenolic compounds, which are known to have potential as antioxidants. Research on the effects of postharvest storage conditions on bioactive compounds of CPH is still limited. Therefore, this study aimed to evaluate the impact of postharvest storage temperature (20, 30, and 40 °C) and time on the physical characteristics, phenolic compounds, and antioxidants of CPH. The results indicated that storage for nine days reduced the color and moisture content of CPH while the texture hardened (especially at 20 and 40 °C). Total phenolic compounds (TPC) increased to 97.9% when CPH was stored at 20 °C for nine days, which was associated with an increase in catechin content and antioxidant activity. The first-order kinetic model was suitable for predicting the kinetics of changes in color, moisture content, hardness, TPC, and DPPH. The calculated Ea values indicated that the storage temperature caused the color of CPH to change easily to brown and the catechin and caffeic acid compounds to form easily. Overall, it is better to store CPH at 20 °C for nine days to increase the quality.
First record of non-native Yoldia limatula (Say, 1831) in the United Kingdom: evidence of a newly established population (Bivalvia: Protobranchia)

This paper reports the first recorded presence of a non-native protobranch bivalve, Yoldia limatula (American file clam), in the United Kingdom. In November 2020, it was found to be present in already high numbers (257 individuals recorded) in subtidal sediments in the estuarine zone of the Tees River, Northeast England. This record is far outside the species’ native range of North America. The species has recently also been found on the continental margin of Northwest Europe. It is likely to have been introduced into the UK via marine traffic, with larval displacement through ballast water exchange thought the most likely route of entry. The bioturbating activities of the species in its native range are discussed, which might have significant ecosystem implications if the species were to become fully established in UK waters. An identification guide to separate this species from similar species of protobranch bivalves in the UK is included.
Anti-SARS-CoV-2 IgG Seroprevalence in Tyrol, Austria, among 28,768 Blood Donors between May 2022 and March 2023

Background: To provide updated estimates on SARS-CoV-2 antibody seroprevalence and average antibody titres for Central Europe. Methods: In repeat cross-sectional investigations (1 May 2022 to 9 March 2023) involving 28,768 blood donors in the Federal State of Tyrol, Austria (participation rate: 87.0%), we measured Spike receptor-binding domain (RBD) and Nucleocapsid IgG antibodies (37,065 and 12,645 samples), and estimated monthly seroprevalences and geometric mean titres. Results: Median age of participants was 45.4 years (range 18–70); 43.2% were female. Spike RBD IgG antibody seroprevalence was 96.3% (95% CI: 95.6–96.9%) in May 2022, 97.4% (96.7–98.0%) in December 2022, and 97.9% (96.4–98.8%) in March 2023. Among seropositive participants, geometric mean titres increased from 1400 BAU/mL (95% CI: 1333–1471) in May 2022 to 1821 BAU/mL (1717–1932) in December 2022, and dropped to 1559 BAU/mL (1405–1729) by March 2023. Furthermore, titres differed markedly by vaccination status and history of infection, with being the highest in participants with booster vaccination and prior infection. In autumn 2022, Nucleocapsid IgG antibody seroprevalence ranged from 36.5% (35.0–38.1) in September to 39.2% (37.2–41.2) in December 2022. Conclusion: Seroprevalence of SARS-CoV-2 antibodies in blood donors from Tyrol, Austria, was remarkably stable from May 2022 to March 2023. In contrast, average Spike RBD IgG antibody titres peaked in December 2022.
Fatty acid composition and metabolic pathways in Arbacia dufresnii (Arbaciidae: Arbacioida) gametes: implications of shrimp byproducts in aquaculture feeds

Introduction: Care towards nutrition is essential for the quality of a sustainable aquaculture product. Since the balance in food affects the growth and production of gametes. The circular economy is made possible through the use of discarded materials. Objective: The aim of this research was to study the fatty acid composition and metabolic pathways in the gametes of Arbacia dufresnii, with a focus on the implications of incorporating shrimp byproducts into aquaculture feeds. Methods: Four different treatments were designed to maintain optimal nutritional quality, particularly in lipids and proteins, based on previous studies. The fatty acid profiles of the feeds and gametes were analyzed by using gas-chromatography, and statistical analyses were conducted to determine significant differences. Results: Significant differences were observed in the abundance (%) of omega-3 (ω-3) and omega-6 (ω-6) fatty acids. The (ω-3) metabolic pathway was more pronounced in the gametes of wild animals and those fed with the experimental feeds. In contrast, the (ω-6) metabolic pathway was less relevant in these groups. The (ω-3) /(ω-6) ratio was highest in the gametes of wild animals. Feeds enriched in fatty acids enhanced their bioaccumulation in the gametes reaching higher concentrations than wild animals. The availability of fatty acids in foods allowed their bioaccumulation in gametes, with concentrations equal to or higher than those observed in animals in their natural environment for certain fatty acids. Conclusions: Incorporating shrimp byproducts in aquaculture feeds demonstrated a promising strategy for resource utilization and organic input generation. The fatty acid composition in the gametes of A. dufresnii was influenced by the diet, highlighting the potential of balanced feeds to enhance the bioaccumulation of essential fatty acids. These findings provide valuable insights for the development of sustainable aquaculture practices and the production of nutritionally enriched seafood products.
Influence of contextual factors on most demanding scenarios
in under-19 professional soccer players

: This study aimed to compare the most demanding scenarios (MDS) of under-19 professional soccer players during official matches, controlling for contextual factors such as playing position, the level of opponent teams, playing venue, match status, playing surface, pitch size, and playing status of players. A total of 42 players were monitored across 27 games using Global Positioning System (GPS) technology to collect the external loads, including total distance covered, high-speed running, sprint distance, accelerations, and decelerations. MDS were calculated across 1-minute, 5-minute, and 10-minute time windows for each variable. Significant differences were found based on the contextual factors. (i) Opponent level did not show significant differences; (ii) full-backs covered more distance at 1 minute in home games; (iii) midfielders in winning vs. drawing scenarios exhibited higher decelerations at 1 minute but less distance at 10 minutes; (iv) in drawing vs. losing scenarios, central defenders had greater distance at 5 minutes and accelerations at 5 minutes, while midfielders showed greater distances at 1 minute, 5 minutes, and 10 minutes; (v) offensive midfielders and forwards displayed specific performance differences; (vi) no significant differences were found for the playing surface; (vii) regarding pitch size, full-backs covered more distance at 5 minutes on larger pitches, while midfielders covered more distance at 5 minutes and 10 minutes; and (viii) starters generally outperformed non-starter players across various variables depending on the playing positions. The findings suggest that contextual factors have a significant impact on soccer player performance across different playing positions.
Strategies for Optimization of the Domestic Used Cooking Oil to Biodiesel Chain, the European Project Recoil

The energy potential of household used cooking oil (UCO) is practically unlimited. Its disposal, in some cases illegally, increases the cost and the energy consumption of domestic wastewater treatment, as well as the GHG emissions associated with its biodegradation (non-CO2 emissions). In this, it should be added the heavy environmental pollution load. The European initiative RecOil (Promotion of used cooking oil recycling for sustainable biodiesel production), co-funded by the Intelligent Energy Europe programme of the European Commission, aims to increase sustainable biodiesel production and its market intake by enhancing the household used cooking oil (UCO) collection and transformation at local and regional level. RecOil will assess the “UCO to biodiesel” chain best practices, through a household survey, the industry expertise, and local/regional authorities’ cooperation, to develop an on-line decision-making guide in order to assist stakeholders in developing a chain adjusted to local specificities (geographic, social, economic, legislative, and climate). Pilot projects will also be implemented, according to the most promising practices identified, for validation. The RecOil implementation will result in primary energy savings estimated in 1.300 toe/year and the reduction of GHG emissions 14.413 tCO2 eq/year.
A Novel Overlapping ME Peaks Decomposition Algorithm Based on Iterative Derivative Sharpening

In microchip electrophoresis (ME) signals, multiple subpeaks low-resolution overlapping peaks seriously interfere with the measurement of peak parameters. However, the existing peak analysis methods either address the problem of two subpeaks overlapping peaks or set peak parameters empirically. In this study, an automatic overlapping peaks decomposition algorithm based on signal smoothing, iterative sharpening, and peak fitting is proposed. First, the Savitzky–Golay (SG) filter is used for smoothing ME signals because it outperforms other smoothing methods in peak retention ability, smoothness, and preservation of the high-frequency information content of the signal. Second, an iterative peak sharpening strategy is proposed based on the principle of the even-order derivative method. Finally, overlapping peak analysis methods based on swarm intelligence algorithms, gradient algorithms, and simplex algorithms, respectively, are proposed. For the swarm intelligence-based fitting algorithms, the fitting errors (fes) of ME signals using the proposed peak sharpening strategy are reduced by 13.5%, 23.7%, and 40.0% on average, respectively.