179 research outputs found

    Effects of climate change and invasive plants on autumn phenology in Massachusetts, USA

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    The timing of biological events in autumn, or autumn phenology, is an important factor in many ecosystem processes. Leaf senescence terminates the growing season, fruiting is important for seed dispersal and frugivorous wildlife, bird migration concludes the breeding season and is a high-mortality event, and insect diapause ends the active season for insects. Climate change and the spread of invasive species have the potential to shift autumn events and ecological processes. However, autumn has been neglected in the phenology literature, and there are many gaps in our knowledge of basic phenological patterns in this season, as well as how they are affected by anthropogenic changes. To address these gaps, I first synthesized the literature on how climate change affects autumn phenology. I found that shifts in autumn phenology can alter reproductive capacities, exacerbate invasions, increase disease transmission rates, reshuffle enemy-prey dynamics, and alter interactions between species. With a focus on autumn interactions between birds and fleshy-fruited plants, my colleagues and I then observed patterns of fruit phenology, using herbarium specimens of 55 species collected across New England, and over 400 species in the living collections of 5 international botanical gardens. Last, I monitored fleshy fruit phenology and abundance at Manomet, a migratory stopover site in coastal Massachusetts, and compared those patterns to seeds identified from landbird fecal samples collected across the autumn season. I found that the sequence of fruiting is moderately consistent from year to year and place to place, and has a significant phylogenetic signal. In wild plants, invasive species fruit, on average, nearly one month later than native species. Considering many landbirds are migrating through New England later over time and in warm years, this suggests birds are increasingly likely to encounter invasive fruits during late-autumn migration. However, bird diets do not reflect the increased availability of invasive fruits in late-autumn; rather, birds show a preference for native fleshy fruits throughout the autumn season. These findings add to our knowledge of how climate change and species invasions affect autumn synchrony, and highlight the importance of native, rather than invasive, fruits as a food source for migratory landbirds.2019-11-07T00:00:00

    Increased Perchlorate in the Environment Following the 1600 C.E. Huaynaputina Volcanic Eruption

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    Perchlorate is an environmental contaminant that can have adverse health effects on humans. Although our knowledge about how natural perchlorate is formed is very limited, volcanic eruptions are believed to play an important role. An ice core obtained from Summit Station, Greenland was used to study the effects of the Huaynaputina eruption on the amount of perchlorate in the environment. The section of ice core sampled was determined to span the years 1594 through 1610. The results indicate that the Huaynaputina eruption caused a temporary but significant increase in the amount of perchlorate in the atmosphere

    Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data

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    The menstrual cycle is a key indicator of overall health for women of reproductive age. Previously, menstruation was primarily studied through survey results; however, as menstrual tracking mobile apps become more widely adopted, they provide an increasingly large, content-rich source of menstrual health experiences and behaviors over time. By exploring a database of user-tracked observations from the Clue app by BioWink of over 378,000 users and 4.9 million natural cycles, we show that self-reported menstrual tracker data can reveal statistically significant relationships between per-person cycle length variability and self-reported qualitative symptoms. A concern for self-tracked data is that they reflect not only physiological behaviors, but also the engagement dynamics of app users. To mitigate such potential artifacts, we develop a procedure to exclude cycles lacking user engagement, thereby allowing us to better distinguish true menstrual patterns from tracking anomalies. We uncover that women located at different ends of the menstrual variability spectrum, based on the consistency of their cycle length statistics, exhibit statistically significant differences in their cycle characteristics and symptom tracking patterns. We also find that cycle and period length statistics are stationary over the app usage timeline across the variability spectrum. The symptoms that we identify as showing statistically significant association with timing data can be useful to clinicians and users for predicting cycle variability from symptoms or as potential health indicators for conditions like endometriosis. Our findings showcase the potential of longitudinal, high-resolution self-tracked data to improve understanding of menstruation and women's health as a whole.Comment: The Supplementary Information for this work, as well as the code required for data pre-processing and producing results is available in https://github.com/iurteaga/menstrual_cycle_analysi

    Characterization of Horse Use in Therapeutic Horseback Riding Programs in the United States: A Pilot Survey

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    With increasing public scrutiny on animal welfare, it behooves those involved in the equine industry to revisit best management practices to ensure these support healthy horses. There is little published research on how horses are used in the equine industry, particularly in therapeutic horseback riding (THR) programs. Although there is a large amount of information on the benefits of THR programs to the participants, there is little published information available about the horses. Therefore, the objective of this survey was to gather data regarding horse use and care in Professional Association of Therapeutic Horsemanship International (PATH Intl.)–affiliated THR programs in the United States to help establish a foundation for a standard of care. A 20-question survey sent to 659 PATH Intl.–affiliated THR programs returned a 40% response rate. Demographics demonstrated that the median number of horses in each program was 10; geldings outnumbered mares; most horses were between 16 and 20 years of age; and Quarter Horse or stock-type breeds predominated. Median session length was 8 weeks and median lesson length was 45 minutes. Horses were typically ridden by clients 4 days/week and 2 hours/day. Most horses were donated to the programs, participated for approximately 7 years, and left because of aging. Limb lameness and back soreness were the top health issues noted, with only a small percentage of colic and ulcers reported. More horses received nonsteroidal anti-inflammatory drugs for a lameness issue, chiropractic adjustment, and massage than any other supplemental care or complementary therapy. Based on data gathered in this survey, THR horses were not worked excessively. Horses were ridden less than PATH Intl.’s maximum recommendation of 6 hours/day and 6 days/week and less than those used in university programs. Horses in THR programs also appeared to have fewer reported health issues as compared with data in other national reports

    MAGPIES: Math & Girls + Inspiration = Success: Creating and Implementing a Virtual Math Circle for Girls

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    During the academic year 2020-2021, we ran a virtual math outreach program for upper elementary and middle school girls, MAGPIES: Math & Girls + Inspiration = Success. Monthly sessions were held over Zoom, beginning with a short introduction by a guest presenter, followed by breakout rooms led by undergraduates paired with more experienced facilitators (upper division and graduated math majors and volunteer math educators). The online community was created purposefully to be an inclusive and collaborative environment for the attending girls, and the lessons were designed to provide a learning experience for all levels of participants. Examples of sessions include Mathematics and Voting and a mathematical exploration of the card game SET®. Math major coordinators contributed to MAGPIES in numerous ways, such as helping to develop materials, running the Zoom sessions, social media management and website development. We held training sessions prior to each workshop, which consisted of preparing volunteers to use the tools of Zoom (e.g., breakout rooms, chat, annotation, whiteboard), as well as introducing the mathematics and the specifics of the lesson plan. In this article, we illustrate the impacts of this program by focusing on the voices of the community members who have been with us for significant portions of the MAGPIES journey

    Optimizing Shipping Operations through Real-Time Monitoring and Control: A Decision Support System for Container Stripping Processes

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    The shipping industry plays a vital role in the global economy, with container shipping being one of the critical components. Shipping companies outline the time for customer stripping days in its contracts. The availability of the containers depends on the stripping days. The stripping days’ tardiness will hinder the availability of the containers. Therefore, it is fundamental for shipping companies to monitor both the actual condition and the contract condition of stripping days to estimate container availability and prompt customers to expedite the unloading process. However, there has yet to be a tool for monitoring the actual and the contract conditions. In this study, we used the recorded container stripping data to analyze container stripping days, tardiness, and other important parameters that indicate the performance and reliability of stripping containers. These data were post-processed and analyzed using data mining methods, and the resulting information was visualized using a dashboard to facilitate quick and effortless monitoring the dashboard in this study depicts post-processed data on container stripping days and tardiness for each port of discharge, cargo, customer, and other parameters. The dashboard was constructed using Google Data Studio. As a result, the dashboard is expected to help companies monitor, control, and analyze customers with high tardiness, allowing companies to act and ensure that the number of available containers after stripping meets demand at a given time

    Pharmacokinetics of a Single Feeding of Pelleted Cannabidiol in Horses

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    Claims about cannabidiol (CBD) supplementation improving health and behavior are extensive, but research is lacking. Some studies have shown decreased anxiety behavior in rats, and increased activity in osteoarthritic dogs supplemented with CBD, but even less research exists on horses. This study monitored pharmacokinetics and short-term safety for 3 CBD dosages. Eighteen Quarter Horse geldings were randomly assigned to 3 treatment groups: 50 mg (TXT1), 100 mg (TXT2), and 250 mg (TXT3). Dosage was derived from manufacturer recommendations and existing literature on other species. Horses were fed a single dose of CBD pellets. Blood was collected pre- and post-treatment at 0.5, 1, 2, 4 and 12 hr. Serum was analyzed for CBD and serum chemistry, and plasma was analyzed for a complete blood chemistry (CBC) evaluation. Statistics were completed on serum chemistry using PROC MIXED procedure of SAS. Serum chemistry and CBC results were within normal parameters; however, treatment differences were observed for BUN (TXT1=15.50, TXT2=16.52, TXT3=18.61; P≤0.03) and creatinine (TXT1=1.41, TXT2=1.22, TXT3=1.49; P≤0.01). In other species, peak CBD concentrations occur approximately 2 hr post treatment. Peak serum concentrations were detected in 1 of 6 TXT2 horses and 5 of 6 TXT3 horses at 2 hr post treatment. This data can be used to support further research to determine correct and safe doses of CBD in horses

    Dispelling the myths of online education: learning via the information superhighway

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    There continues to be a perception that online education is inferior to traditional education. In the U.S. online learning is more developed than in the U.K. This paper provides insights into a U.S. provision and takes a close look at what are perceived as weaknesses of on line learning and argues that these are not necessarily inherent weaknesses of this form of educational delivery. Then, results of two major studies, undertaken in the U.S. are provided comparing the effectiveness of online education to traditional education as perceived by current MBA students and past graduates. Results of these studies suggest that students of MBA modules and MBA graduates perceive the quality and effectiveness of online education to be similar to, if not higher than, the quality and effectiveness of traditional modules and programmes

    Optimizing Shipping Operations through Real-Time Monitoring and Control

    Get PDF
    The shipping industry plays a vital role in the global economy, with container shipping being one of the critical components. Shipping companies outline the time for customer stripping days in its contracts. The availability of the containers depends on the stripping days. The stripping days’ tardiness will hinder the availability of the containers. Therefore, it is fundamental for shipping companies to monitor both the actual condition and the contract condition of stripping days to estimate container availability and prompt customers to expedite the unloading process. However, there has yet to be a tool for monitoring the actual and the contract conditions. In this study, we used the recorded container stripping data to analyze container stripping days, tardiness, and other important parameters that indicate the performance and reliability of stripping containers. These data were post-processed and analyzed using data mining methods, and the resulting information was visualized using a dashboard to facilitate quick and effortless monitoring the dashboard in this study depicts post-processed data on container stripping days and tardiness for each port of discharge, cargo, customer, and other parameters. The dashboard was constructed using Google Data Studio. As a result, the dashboard is expected to help companies monitor, control, and analyze customers with high tardiness, allowing companies to act and ensure that the number of available containers after stripping meets demand at a given time
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