fairdataihub/poster-sentry-training-data huggingface dataset:
ROMAN INVASION (55 BC) GERMANIC MIGRATION (5 C) CHRISTIANITY (6 C) VIKING INVASION 8 - 11 C) NORMAN INVASION (1066) THE GREAT VOWEL SHIFT 14 - 17 C) THE HISTORY OF LANGUAGE Get to know how English evolves The Roman empire invaded Britain for 400 years, they brought Latin language that had influence 30% off all English vocabulary. There were three Germanic tribes that migrated to Britain, there are; Anglo, Saxons, and Jutes. These Germanic tribes brought German language to Britain. In the late 6 century, St Augustine was sent from Rome to Britain in order to bring Christianity to the Anglo-Saxons. After that they established church buildings and monasteries, they also used Latin word, because at time Bible was written in Latin language. Vikings ( Norsemen ) began their invasion to Britain in the late 8 century, they also brought their language called Old Norse. The Norman became the ruling class ( royals, nobles ) after they won a war against Britain. They also brought their own language called Old French, and hundred years later it's merged with Old English and became Middle English. Between 14 - 17 century the great vowel shift occurred, some consonant sounds changed as well, because in 16 century the British began to explore and came back. The Great Vowel Shift brought the Middle English to Early Modern English periods. th th th Aisyah Restu Damayanti (03020321042) Ardi Rusdiyansyah ( 03040321094) Gisela Zahratul Afiah (03040321107) Ike Permatasi (03020321056) Ryzma Arasy Tartilla (03010321033) Group members: 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. th th th th th th th th Julius Caesar Germanic Boats Pastor Viking Soldier Norman Soldier Horatio Nelson
Sustainable biogas purification system in landfills and municipal solid waste treatment plants Promoting the use of biogas as a sustainable energy source A new cost-efficient and environmental friendly technology for biogas desulphurisation LIFE BIOGASNET system will present potential environmental advantages minimising the environmental footprint up to 55% by reducing the carbon dioxide emission and the waste generation More information: www.biogasnet.eu info@biogasnet.eu The project has received funding from the LIFE Programme of the European Commission under contract number LIFE18 ENV/ES/000426 Consortium: LIFE BIOGASNET European project demonstrates an innovative, sustainable and low-carbon footprint technology for biogas purification based on biological processes. The project aims to boost the use of biogas as a sustainable energy source and to promote renewable energies production through the circular economy concept.
Integrated Pest Management: Holistic Approaches to Managing Pests in Herbarium Collections Ms Erin Berkowitz1, Administrative Curator Mare Nazaire1, Volunteer Deb Woo1 1California Botanic Garden, Claremont, United States The Herbarium at California Botanic Garden (RSA) holds over 1.25 million vascular plant specimens, making it the 3rd largest herbarium in California. With over 850 cabinets, a collection of this size creates an often- overwhelming challenge to prevent, mitigate, and manage pest infestations. Further, pest management at this scale requires dedicated personnel and time, which was significantly hindered due to the COVID-19 pandemic. Prior to 2018, the RSA Herbarium’s Integrated Pest Management (IPM) practices were primarily word of mouth protocols. Additionally, the database used at that time for monitoring pest activity was inefficient and difficult to interpret, which presented challenges with data analyses. In 2018 the Herbarium experienced a surge in Lasioderma serricorne (cigarette beetle) populations within the collection, which served as the catalyst to our IPM reform. Staff reviewed current IPM literature and techniques and implemented several best practice methods in conjunction with the already established quarterly check method to better track and manage pests within the collection. With the help of a skilled volunteer, we developed a database to track pest activity more accurately and to better inform our pest management strategies. We also produced a detailed written protocol and implemented this as part of our routine training for all curatorial staff. Other pest management measures included installing additional pheromone traps in all areas of the building containing herbarium cabinets, eliminating environments hospitable to pests, and implementing a routine freezing treatment on specimen pressing supplies and cabinets in areas with inadequate climate control. The overhaul of RSA’s integrated pest management program over the past four years has helped us to holistically and effectively manage pests in our collection. Keywords: IPM, database, protocols, cigarette beetles, monitoring
Can we investigate microplastic pollution with school students? Experiences from eight years of citizen science research Janto Schönberg* 1, Sinja Dittmann1, Tim Kiessling1, Linda Mederake 2, Mandy Hinzmann 2, Doris Knoblauch2, Katrin Knickmeier1, Martin Thiel3, 4, 5 4Millennium Nucleus Ecology and Sustainable Management of Oceanic Islands (ESMOI), Coquimbo, Chile 5Centro de Estudios Avanzados en Zonas Áridas (CEAZA), Coquimbo, Chile 1Kiel Science Factory, Leibniz Institute for Science and Mathematics Education (IPN) and Kiel University, Germany 2Ecologic Institute, Berlin, Germany 3MarineGEO Program, Smithsonian Environmental Research Center,Edgewater, Maryland, USA • Since 2016, schoolchildren and youth groups investigate litter pollution in and on rivers and since 2024 at coasts. • Main objectives are achieving a large scale overview on the riverine and marine litter pollution and increasing young peoples scientific literacy. • More than 25,000 people have participated from 11 European countries, generating over 1,700 datasets. • Data on plastic litter and the Plastic Pirates project was published in six peer-reviewed studies. Plastic Pirates Brief To get citizen science plastic litter data published, you need good and robust data. To get good and robust data, the project has to be carefully designed and closely supported at all stages. The successful publishing of our data relied on four well structured components of this citizen science project. Communication is key! Adapted from Dittmann et al. 2022 From Dittmann et al. 2023 • The purpose of the individual communication was to coordinate the shipment of sampling materials, answering questions regarding the organization and methodology of the sampling, and getting in contact to obtain missing data and samples and clarify questions regarding the citizen science data quality. • 12,767 mails were registered (7,237 sent and 5,530 received) • This represents more than 1,000 hours of work (assuming 5 minutes of attention per Mail), enough for 37 weeks of employment time (given a typical contract of 30 hours per week). Plastic Pirates Brief • A carefully designed project is advantageous in all phases of your initiative. • Implement a rigorous validation scheme to ensure best data quality. • Detailed and transparent communication with participants will help in obtaining scientifically valuable data. • Make sure to have the extensive personnel ressources needed for efficient communication Take-aways We are grateful to all schoolchildren and teachers who participated in the Plastic Pirates, without their effort the project could not have been realized!
Scaling MetPy to Big Data Workflows in Meteorology and Climate Science Presenter: Ryan M. May rmay@ucar.edu What is MetPy? MetPy is an open-source package that provides various tools for meteorology and atmospheric science implemented in Python. This community-driven package leverages the broad base of functionality in the scientific Python ecosystem. For more information, see MetPy’s documentation at: https://unidata.github.io/MetPy To request a feature, report a bug, or see the current plans, visit: https://github.com/Unidata/MetPy/issues @metpy ●Reading data: NEXRAD, GEMPAK, GINI, METAR ●Calculations ○Severe weather indices ○Thermodynamic and kinematic quantities ○Isentropic interpolation and gridding ○Many more... ●Meteorology-specific plotting ○Skew-T ○Station Plots We are using scientific Python tools to make MetPy scale to Big Data, like climate and ensemble model datasets. Migrating bottlenecks within the code from Python to Cython allows us to increase performance, while maintaining much of the development benefits of Python. Bottlenecks Cython Many of the calculations within MetPy are straightforward and readily run in a vectorized fashion on large datasets. A few, especially those requiring vertical profiles of varying size, are difficult to write as array operations and instead require looping, which results in poor performance in pure Python code. These types of operations are important for calculations like CAPE, which is an important variable related to atmospheric instability, and used in climate modelling to relate to a variety of atmospheric hazards, like heavy rain and severe storms. Cython is a tool for writing code using a Python-like syntax that is compiled to C, and then machine native binaries; this allows code to run much faster than pure Python allows. Cython also interfaces very well with NumPy, the predominant array library within scientific Python. Together, this allows us to refactor calculations like CAPE to loop over data at the C-level, and in the end allow running the calculation with much more reasonable run time on large, gridded datasets. Authors: Ryan M. May1, M. Drew Camon1, Kevin H. Goebbert2, Jon Thielen3 1 UCAR/Unidata, Boulder, CO, USA 2 Valparaiso University, Valparaiso, IN, USA 3 Colorado State University, Fort Collins, CO, USA Packaging While using some compiled code addresses performance challenges, it makes the overall distribution and support of MetPy more complicated. This is because now the C code must be individually compiled for all supported platforms. This also means that individual problems have a greater chance of being particular to a specific platform. To address the problem of compilation and distribution, we are relying on a tool called cibuildwheel. This is a tool created by the open source community that greatly streamlines the process of running package builds across a variety of platforms available as workers on public continuous integration services, like GitHub Actions. This allows us to keep MetPy as a package that is relatively easy to release on a frequent basis. award OAC-2103682 Award OAC-2103682
Activity You will need a door that separates a warm room and a colder room. It could be the front door if it’s cold outside. Make a thin strip of tissue. Open the door a tiny bit. Hold your tissue down low in the draft of air - which way is the air moving? The draft happens because cold dense air is moving into the warmer, thinner air. We experience the weather directly ourselves. We can investigate and understand the world around us. We can apply our knowledge to make our lives better and to help others and our natural world. As we learn more about how the weather works, we can become better at managing its impacts and more insightful about our impact on our world. INVESTIGATING Flood defences help protect our homes - for when it rains a lot! Some countries experience hurricanes – people know to minimise damage by boarding up their windows. Does thunder and lightning scare you or excite you?! How do we How do we make sense of the make sense of the weather? weather? Have you ever leant into a really strong wind and felt its force?
MÉTODO DATOS BRUTOS Y MATERIAL SUPLEMENTARIO EN PUBLICACIONES SOBRE CIENCIAS DE LA EDUCACIÓN RESULTADOS DISCUSIÓN/CONCLUSIONES REFERENCIAS Autores: Martínez-Córdoba, C., Alonso-Arroyo, A., Chiva-Sanchis, I., Aleixandre-Benavent, R. y Valderrama-Zurián, J.C. Universitat de València INTRODUCCIÓN Compartir datos aumenta la velocidad de la investigación y ahorra tiempo y recursos, además de garantizar la transparencia y la reproducibilidad. En las ciencias de la educación, la puesta en común y la reutilización son cruciales, ya que la educación es la base del progreso socioeconómico. OBJETIVOS Describir el estado del intercambio de datos en el área de ciencias de la educación. UNIDADES DE ANÁLISIS Se descargaron 513 registros con datos asociados en categorías temáticas educativas de Web of Science entre 2021-2022. VARIABLES E INSTRUMENTOS Tipo de datos asociados, de formatos utilizados para registrar dichos datos y repositorios depositados que contenían los artículos recuperados. Se usaron Access y Excel para el análisis de las mismas. PROCEDIMIENTO Se descargaron artículos indexados en categorías temáticas educativas de WoS entre 2021-2022 que contenían datos asociados y se analizaron las variables señaladas, así como su relación con la categoría temática y la calidad de las revistas. ANÁLISIS DE DATOS Los datos se importaron al software propio Bibliométricos para realizar las consultas y obtener los resultados y, posteriormente, se trasladaron a Excel para poder elaborar las gráficas y agrupar los datos de acuerdo a las variables de interés. WoS incluyó 78.859 registros, de los cuales 513 (0,7%) incluían datos complementarios: el 55,4% (284) era material suplementario y el 29,4% (151) eran datos asociados. Los repositorios más utilizados fueron Open Science Framework (23), Dataverse e IRIS (7). Los 513 trabajos se publicaron en 241 revistas, destacando Frontiers in Education (38) y Education Sciences (13). Existen hasta 18 tipos de formatos en los registros con material suplementario, predominando pdf (177 registros) y doc/docx (75) (figura 1). Hay hasta 39 tipos de formatos diferentes en los registros con ficheros de datos asociados (figura 2). Los porcentajes de artículos con datos asociados son bajos y predominan los formatos propietarios sobre los libres y reutilizables. La promoción de políticas de intercambio de datos en el área de ciencias de la educación es esencial y necesaria para investigadores/as, autoridades académicas, gestores de investigación y especialistas en información. • Logan JAR, Hart SA, Schatschneider, C. Data sharing in Education science. AERA Open, 7(1): Article Number: 23328584211006475. DOI: 10.1177/23328584211006475 • Makel MC; Hodges J; Cook BG; Plucker JA. Both questionable and open research practices bare prevalent in Education research. Educational Researcher, 50(8): 493-504. DOI10.3102/0013189X211006440 Project TED2021-131057B-I00 funded by: Figura 1. Formatos material suplementario Figura 2. Formatos datos asociados
Wind Prominence References [1] Jardine +, MNRAS, 482(3), 2019 [2] Ferreira, MNRAS 316(3), 2000 [3] Wood +, ApJ, 628(2), L143, 2005 The distribution of prominence mass around a star is dependent on the tilt of the dipole axis. Bistable stars The exceptions are the bistable (very low mass) stars which show lower than expected Ms. This is due to their weak and complex magnetic field structure, that are not able to support significant prominence mass. Typically, prominence mass loss rate increases with decreasing stellar mass. Predicting the mass loss rates of Mdwarfs Rose F.P. Waugh and Moira M. Jardine rw47@st-andrews.ac.uk Prominences can be used as ‘wind gauges’ to predict the wind M/A (mass loss rate per unit area) [1]. Prominence material is likely supplied in the same way as the wind - blowing up the field lines. . . University of St Andrews, Scotland 0. Introduction 1. Method 2. Results 2.2 Prominence mass loss rates with stellar mass 2.1 The prominence mass distribution around these stars 2.3 comparing prominence and wind mass loss rates Dipole axis is perpendicular to rotation axis Dipole axis is aligned with rotation axis * AD Leo has been shifted 1 degree right and GJ494 has been shifted 4 degrees left, as the distributions overlap. . . . .. Highly tilted dipoles support material at high latitudes More aligned dipole fields supports material at only low latitudes, but the distribution is much smoother. . . Top panel: Plotting prominence M/A against X-ray flux (Fx) as Wood 2005 [3] we find a line of best fit (blue dashed line): M/A Fx Use ZDI maps for a subset of Mdwarfs Construct coronal magnetic field assuming a potential field Find mechanical equilibria from force balance Check stability using Ferreira’s condition [2] Calculate mass loss rates, assuming all possible formation sites are filled 1.32 . . M* Visible prominence mass loss rates True prominence mass loss rates Comparing to literature wind values Stellar wind mass loss rates (M) can be diﬀicult to measure for low mass stars due to their low densities. Considering the prominence mass that would be visible, it becomes apparent that the Ms would be underestimated, though the scatter remains. . . . 3. Conclusions Most prominence mass is not visible to us Our modelling has yielded a similar relation for M/A as a function of Fx for prominences as for stellar winds. 1 2 1 2 .. . Prominence 1 will cross the stellar disc (be visible), but 2 will not. Side on view: Head on view:
AUTOMATIC SPRAY DESINFECTANT CHICKEN WITH ANDROID BASED ON ARDUINO UNO 1. Background The role of technology facilitates human work in solving every problem. 2. Chicken farms are found various problems both from the object and its management 3. To keep the chicken coop clean and sterile from disease 4. Automatic spray disinfecting chicken coop with Android based Arduino Uno. 2. Aim The aim of making the automatic control system spray disinfectant chicken coop with an Android-based Arduino Uno is to make it easier and give a sense of security to officers when spraying disinfecting chicken coops. Reference Bill, R. G. J., Ferron, R., Braga, A., Bill Jr., R. G., Ferron, R., Braga, A., Braga, A. (2000). Water mist (fine spray) fire protection in light hazard occupancies. Journal of Fire Protection Engineering, 10(3), 1 22. NA. (1997). LED Application Notes - LED Basics. Retrieved from Meng, W., & Jin, W. (2017). The optimal design of wheeled robot tracking system. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings (pp. 900 5. Conclusions From each stage that has been done in testing can be concluded. 1. By using hardware in the form of a microcontroller circuit (Arduino Uno) and Android application to control disinfecting spray automatically and can work at a maximum distance of 10 meters through Bluetooth communication. 2. Testing is done directly using the Bluetooth module HC-05 as a communication media for Android smartphones with Arduino Uno and a 12 VDC diaphragm pump, 80 psi as a disinfecting spray, while the spray drive motor using a DC 5V motor works with the program that has been created, so that can simplify and provide security to farmers when spraying disinfectants on chicken coops. 4. Testing Results The table. Automatic Testing Results for Disinfecting Spray Chicken Coop With Android Based on Arduino Uno No. Distance Motor rotates (Yes/No) LED Lamp (On/Off) Diaphragm pump spinning (Yes/No) Average Results Testing Right Left 1. 2 1 1 1 1 2. 4 1 1 1 1 3. 6 1 1 1 1 4. 8 1 1 1 1 5. 10 1 1 1 1 From the data table, the results of automated testing spray disinfectant chicken coops with Arduino UNO-based Android. The whole series of automatic spray disinfectant chicken coops with Arduino UNO-based Android can work correctly according to the program created 3. System Development The process of working on the system in processing data sent by smartphones and data received by Arduino uno microcontrollers via Bluetooth. a) Android smartphone gives commands to HC-05 sending data to Arduino Uno. b) Arduino receives and processes data received from HC-05 to run the disinfecting spray automation system that has been programmed in the arduino sketch. c) Arduino sends a low signal to the low trigger relay module. d) The low trigger relay module receives a command to run the pump motor disinfectant. e) The pump motor is disinfected and works according to the time specified in the programming. f) Arduino microcontroller gives a signal / command to the L298N motor drive as a rotary DC motor drive g) DC motor rotate right / left alternately.
Design details for an apron slab and drainage For further information visit: http://wedc-knowledge.lboro.ac.uk/ A A Connecting rod 480-500 Spout aligned to apron centerline Circular shaped apron slab Flat stone set into apron to prevent erosion India MkII handpump Borehole casing pipe Slab foundation 2% slope 2% slope Apron diameter 1700 (min) 2% slope 2% slope Excavated earth heaped to protect soakpit from surface water 150 All dimensions shown in millimeters 1000 150 Spout aligned to apron centerline Operators platform Radius Soakpit Soakpit filled with large stones with smaller stones on top (An alternative is a pit lined with bricks and covered with a concrete slab) Drain at least 6000 in length with good slope (2% min) and stone foundation with surface plaster of cement mortar 2% slope 150 150 150 100 100 2000 150 Drainage channel 6000 (min) 250 250 250 2000 400 1000 400 250 Section on A-A © WEDC Developing knowledge and capacity in water and sanitation Poster 58
Schools: The postdoc on a genomic research project wants to involve local schools in their research project by holding a tournament for the best solution to one of the project’s research questions. They will have to organise the competition themselves, using time allocated to the research project. They feel it will promote the project in the community and make school children more interested in science. 1. What challenges will this postdoc face to make this a reality? 2. What other benefits could this activity have? 3. Do you think these kind of activities area good use of researchers’ time? Data: Jane has done several experiments which have had negative results and do not help progress her overall project further. However, she feels the results, protocol, and data are still interesting. She does not want to just shelve the work but she is not sure what to do with it. A friend says she should keep it private in case she can use it for publications later. 1. Do you think the friend is right? 2. Is there another solution that is more ‘open’? What else could be done with the data? 3. Would you like to see more negative results published? Why/why not? 4. Would you like to have access to other researchers’ protocols and data? Publishing: John has been trying to publish some exciting results from his work. However, one journal has rejected the paper and another has not gotten back to him. He hears that another lab is also preparing to publish findings in a similar area. Another researcher suggests that he publish the paper as a preprint so that it would be out first, but his PI is a bit unsure if this is a good idea. 1. Do you think he should use preprints? 2. What are the advantages or disadvantages of this approach? 3. Have you ever used preprints? What do you think about them?