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    435 research outputs found

    Tensor Flow Model with Hybrid Optimization Algorithm for Solving Vehicle Routing Problem

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    Vehicle routing and path management system improves the best key point of selecting the path of the vehicle to move. The applications that are used for delivering the products utilize Google data to organize the vehicle movement and its coordinate positions. The traffic level indicator and the speed of vehicle movement validate the Vehicle Routing Problem (VRP)- route. Since there is another important parameter that needs to consider for the delivery process. In that, the application needs to validate the amount of traveling time and the length through which the vehicle can travel to deliver the products. This requires a better prediction model to estimate the multiple parameters of vehicle routing problems. In the proposed study, a Tensor Flow-based routing path prediction approach was chosen to train and predict the best route using the attribute weight matrix. From the parameters of the distance between the coordinates with the amount of traffic range and other related attributes, the Tensor Flow model forms the rule to train the machine for predicting the route for vehicle movement. This model updates the learning model based on the change in parameter value and its range. The experimental result compares the suggested work to the current model of optimum VRP prediction approaches

    Unmasking of the von Willebrand A-domain surface adhesin CglB at bacterial focal adhesions mediates myxobacterial gliding motility

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    The predatory deltaproteobacterium Myxococcus xanthus uses a helically-trafficked motor at bacterial focal-adhesion (bFA) sites to power gliding motility. Using total internal reflection fluorescence and force microscopies, we identify the von Willebrand A domain-containing outer-membrane (OM) lipoprotein CglB as an essential substratum-coupling adhesin of the gliding transducer (Glt) machinery at bFAs. Biochemical and genetic analyses reveal that CglB localizes to the cell surface independently of the Glt apparatus; once there, it is recruited by the OM module of the gliding machinery, a heteroligomeric complex containing the integral OM β barrels GltA, GltB, and GltH, as well as the OM protein GltC and OM lipoprotein GltK. This Glt OM platform mediates the cell-surface accessibility and retention of CglB by the Glt apparatus. Together, these data suggest that the gliding complex promotes regulated surface exposure of CglB at bFAs, thus explaining the manner by which contractile forces exerted by inner-membrane motors are transduced across the cell envelope to the substratum

    Will Clinical Decision Support Mechanisms reduce the amount of unnecessary computed tomography?

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    Clinical Decision Support Mechanisms (CDSMs) are to patient safety. When used in Radiology, CDSMs can improve radiation dose, quality assurance, and patient care. When paired with the electronic health record, CDSMs provide clinicians with patient-specific data that will help lower healthcare costs and improve patient outcomes. This study demonstrates how introducing clinical decision support mechanisms in electronic health record software will help improve unnecessary CT scans and hinder patient radiation exposure. The ordering physician can now consistently and reliably choose the proper scan each time

    Learning the Most Popular Music at Harrisburg University

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    My group’s project topic is ‘what is the most popular music genre at HU?’ On the surface, this seems like a general question one might ask a person as a conversation starter, but a person’s musical taste/ favorite genre could tell us a lot about them. Most people will ask this, maybe a few music-related follow-up questions, and then move on but subconsciously, the person may have a pre-judgment about how they act and think simply based on the genre of music they like the most

    Determining the Ideal Concentrations of Ethanol and Propylene Glycol in Ethosomes for Transdermal Delivery of Vitamin D3

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    Vitamin D3 is an important chemical in the human body, however, many Americans have low levels of this vitamin. There are plenty of oral supplementations for Vitamin D3 deficiency, but those of older age and busy schedules may struggle to meet the minimum requirement. A recently developed ethosomal transmembrane delivery system (Touitou, 2000), similar to liposomes but also containing ethanol, allows users to apply a gel dermally and have the desired drug or active ingredient reach the bloodstream faster. However, there is considerable variation in the concentration of ethanol and permeation enhancers used. Using an affordable method to mimic skin diffusion, this study examined Vitamin D3-containing ethosomes formed using varying concentrations of ethanol and propylene glycol to find the ideal ratio to allow the maximum amount of Vitamin D3 to diffuse through a model membrane. Using spectroscopic analysis, it was found that a ratio of XX:XX of ethanol to propylene glycol yielded the most effective transfer of Vitamin D3 across the model membrane. Further analysis of Vitamin D3 concentration will be carried out using high-performance liquid chromatography to verify the concentrations passed through. The effectiveness of the ethosomes will also be tested on other model membranes, such as pig ear skin, that mimic the biochemistry of human skin more closely

    The effect of sevoflurane anesthetics on Venus flytrap (Dionaea muscipula) compared to diethyl ether anesthetics

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    Although general anesthesia is a condition of controlled unconsciousness, its mechanisms are not completely known. Anesthesia has an impact on the body by obstructing the flow of nerve impulses, which impacts sensation and muscular movement. Few studies have looked into the effects of anesthetics on plants, compared to the numerous studies that have been done on their effects on people and animals. The unusual plant known as the venus flytrap (Dionaea muscipulai) reacts to touch cues very quickly. An action potential is created when a bug makes contact with the trigger hairs on the head of the Venus flytrap. The Venus flytrap\u27s head closes as a result of the action potential activating the motor cells. After the insect\u27s head has closed, digestive enzymes are released and the bug is digested. Venus flytraps are less responsive to physical stimuli when administered anesthetics like diethyl ether, according to a number of studies. Inhaled anesthetics such as diethyl ether are uncommon because of their elevated flammability. Sevoflurane, a non-flammable substitute, has a shorter half-life in tissues than diethyl ether; this causes a rapid induction and recovery time in both people and animals. To find out if sevoflurane anesthetics affect Venus flytraps similarly to how they affect people and other animals, the effects of sevoflurane on the Venus flytrap were compared to those of diethyl ether. Venus flytraps were subjected to progressively higher sevoflurane exposure levels and contrasted with the previously published diethyl exposure levels. Trigger hairs were manually stimulated after exposure, and response times were documented. Compared to diethyl ether, sevoflurane had a higher dose-dependent impact on the Venus flytraps\u27 response time than it did on people and animals. These findings suggest that the metabolism and mode of action of sevoflurane in Venus flytrap may vary depending on the animal species

    The Effect of Acidification on the Mineralization Rate of RAS Effluent in Anaerobic Batch Reactors for Reuse of a Naturally-Derived Hydroponic Fertilizer

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    Recirculating aquaculture systems (RAS) require 95-99% less water than alternative fish farming methods and offer intensive, location-independent and season-independent seafood production. Commercial RAS is constrained by the generation of nutrient-dense effluent that requires costly treatment in municipal wastewater treatment plants as direct discharge into natural waterways will result in eutrophication. Previous studies have shown that the effluent contains most necessary plant nutrients and can be used as a hydroponic nutrient solution after treatment to increase plant availability of nutrients through solids mineralization and removal of heterotrophic growth promoting organic matter (OM). Anaerobic treatment (AT) is commonly used to reduce total solids and OM in municipal and agricultural waste treatment, and has provided promising results in developing a hydroponic nutrient solution from RAS effluent. The objective of this study is to determine if acidification would improve solids mineralization and OM removal rates in RAS effluent in continuously mixed anaerobic batch bioreactors by comparing triplicated treatments at a pH of 5.5 and 7.0. Solids mineralization and OM removal rates will be determined by total suspended solids (TSS) and chemical oxygen demand (COD) removal over a 15-day period. It is expected that the lower pH will result in more rapid reduction rates by enhancing the anaerobic hydrolysis and acidification processes. This work will provide foundational data for optimizing effluent valorization techniques in RAS to improve economic and environmental sustainability while providing hydroponics with a naturally-derived nutrient source to reduce reliance on finite mineral fertilizers

    Secondary features of importance for a url ranking

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    This paper investigates the impact of secondary ranking factors on webpage relevance and rankings in the context of Search Engine Optimization (SEO), focusing on the jewelry domain within the United States e-commerce market. By generating a keyword list related to jewelry and retrieving top URLs from Google\u27s search results, the study employs machine learning models including XGBoost, CatBoost, and Linear Regression to identify key features influencing webpage relevance and rankings.The findings highlight specific optimal ranges for features like Outlinks, Unique Inlinks, Flesch Reading Ease Score, and others, indicating their significant impact on better rankings. Notably, Random Forest model performed best with a Mean Average Error of 1.6, showcasing its accuracy in predicting rankings within the 1-10 range. Through compelling visualizations like horizontal bar charts, key features such as external outlinks, response time, and average words per sentence are effectively presented.The research contributes valuable insights into the evolving landscape of SEO, emphasizing the practical implications of recognizing these optimal feature ranges for informing businesses\u27 SEO strategies. This study underscores the dynamic nature of SEO and the importance of continuous exploration in this field

    Medical Biotechnology- Point of Care devices and Artificial Intelligence

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    Point of care devices are a biotechnology product that produce individual diagnostic tests within minutes to better assess individual patient needs. These risk assessments for numerous conditions can use the help of algorithms with artificial intelligence, to create a universal early detection screening of many health ailments. Within a case study in rural Australia, many health benefits have been highlighted in the creation of machine algorithms and their connection with various point of care devices

    The Relationship Between Historical Redlining Zones and Proximity to Green Space in Harrisburg, Pennsylvania

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    Many studies have highlighted the benefits of outdoor green space to our health and state of well-being. With greater than 50% of the world’s population living in urban environments by 2015, many studies have focused on the importance of public urban parks. However, historical redlining policies decreased infrastructure investment within lower-income communities of color leading to inequitable green space access. Redlining was a discriminatory practice codified by the federal government in 1934 that denied loans and investment of services to areas based on race, immigration, and socioeconomic status. This study investigated the relationship between the 1935 Home Owners’ Loan Corporation (HOLC) investment risk zones for Harrisburg, PA and current-day access to green space. As defined by the National Park Service and the Center for Disease Control, green space within 0.5 miles of a residence is considered accessible. To evaluate the relationship between the HOLC zones and distance to green space, the digitized HOLC zones were overlaid on a Euclidian distance layer calculated from the city’s parks layer using ArcGIS Pro 3.0. Distance to green space was sampled via 100 random points, stratified by HOLC zones, and analyzed using a single-factor ANOVA. The results from this study can be used to prioritize areas within the city to be developed into publicly accessible green spaces

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