There are several tools out there to help you make use (or make sense!) of your urban forest inventory. This presentation provides some information on each, while helping you think about ways you can get the most of your data.
Platinum Weddings & Celebrations 2016 Brochure - Dubai
Body of work for some of the spectacular Weddings and celebrations planned and executed by Platinum Weddings & Celebrations
Routes to Clean Air 2016, Douglas Booker, NAQTSIES / IAQM
Talk title: In Cabin air quality monitoring using integrated multi-pollutant measuring equipment
Routes to Clean Air is a two-day conference from the IAQM where academics, professionals and policy makers share their experiences of improving traffic emissions.
This event highlights the importance of public communication and behavioural change surrounding road transport and air quality issues.
Platinum Weddings & Celebrations 2016 Brochure - Dubai
Body of work for some of the spectacular Weddings and celebrations planned and executed by Platinum Weddings & Celebrations
Routes to Clean Air 2016, Douglas Booker, NAQTSIES / IAQM
Talk title: In Cabin air quality monitoring using integrated multi-pollutant measuring equipment
Routes to Clean Air is a two-day conference from the IAQM where academics, professionals and policy makers share their experiences of improving traffic emissions.
This event highlights the importance of public communication and behavioural change surrounding road transport and air quality issues.
Presentation of sustainable and green transport modes: Walking, Bike, Car, Carpool, Taxi, Bus, Tram. Fuel types according to environment friendly classes - from conventional fuels, bio fuels, electric and hybrid ones. Types of vehicle with various ecology footprint - like Conventional internal combustion engine, Bio-fuel, All-electric, Hydrogen fuel cell, Hybrid electric.
Illustratory data charts with green technology statistics: Transportation gasoline usage per 100 km per passenger; Green Transportation pyramid and Fuel economy
Empowering Business Decisions Using FME WorkbenchSafe Software
Using FME, Critigen developed a spatial analysis tool to perform repeatable, complex analysis on our client's 2 million acres of land to identify additional business opportunities. The tool leverages data from nearly 50 public and private databases and, because of Workbench's extended interoperability, it can incorporate these databases in their raw forms.
Recent world #1 Kaggle Grandmaster and Research Data Scientist at H2O.ai, Marios Michailidis, will delve into the competitive edge that Driverless AI brings out of the box.
Driverless AI can easily score in the top 5% in popular data science challenges against thousands of participants in a matter of minutes with limited processing power.
Apart from the actual predictions, one can use Driverless AI data munging and derived knowledge of the data to build even more powerful models.
This webinar discusses how Driverless AI can get competitive scores in popular Kaggle challenges. Also, Marios will explain the concepts of hyper-parameter tuning and stacking and how they help to make stronger predictions.
Bio:
Former world no.1 Kaggle Grandmaster, Marios Michailidis, is now a Research Data Scientist at H2O.ai. He is finishing his PhD in machine learning at the University College London (UCL) with a focus on ensemble modeling and his previous education entails a B.Sc in Accounting Finance from the University of Macedonia in Greece and an M.Sc. in Risk Management from the University of Southampton. He has gained exposure in marketing and credit sectors in the UK market and has successfully led multiple analytics’ projects based on a wide array of themes.
Before H2O.ai, Marios held the position of Senior Personalization Data Scientist at dunnhumby where his main role was to improve existing algorithms, research benefits of advanced machine learning methods, and provide data insights. He created a matrix factorization library in Java along with a demo version of personalized search capability. Prior to dunnhumby, Marios has held positions of importance at iQor, Capita, British Pearl, and Ey-Zein.
At a personal level, he is the creator and administrator of KazAnova, a freeware GUI for quick credit scoring and data mining which is made absolutely in Java. In addition, he is also the creator of StackNet Meta-Modelling Framework.
Utilization and possibilities of art information in a data-driven societyKAMURA
Recent years, the art market has been growing worldwide, especially in Europe, the United States of America, and China, which have their art markets as crucial industries.
This study aims to reveal the importance of reusable data infrastructure development in the art sector by utilizing information technology and distribution methodology.
In this attempt, we did extract 248 artists well-known based on the data for 4,730 Japanese oil painters collected from art yearbooks. Then, we digitized information such as pieces sold on the art market found on the Internet, extract valuations from museum databases.
We used these indicators to visualize the relationship of groups (Japanese oil painters) through a machine classification.
Sustainable research progress in many scientific disciplines critically depends on the existence of robust specialized databases that integrate and structure all available experimental information in the respective fields. Over years a multitude of chemical formats and approaches were created to address various aspects of handling chemical information and building databases of chemical knowledge. Additional to that inconsistencies in data formatting by individual labs leads to the need to invest significant resources in data curation and interpretation by the technical staff involved in the maintenance of the centralized data collection resource. Acquisition of data from public sources is inefficient, time consuming and limited in scope. The NIH has recently posted its intention to financially support data deposition by investigators through the ‘data sharing plan' for each funded proposal. However, this plan also points to a current weakness of the centralized data sharing and acquisition as all laboratories use different data collection and formatting approaches. It would be far more efficient and useful if there were a standardized data collection and deposition template with standard key terms that could be modified to add new or important additional data or parameters for each investigator. These new features could be ultimately adopted in the classification scheme and guide the scope of the expanding database. This approach would be a win-win as it would enable structure for the investigators laboratory, consistency in data reporting and a means of transmitting data to the database in parallel to publication to eliminate the acquisition step from the process. In this talk we will outline our experience building Open Data Science Platform, a federated database system for direct acquisition, curation and management of research data with integrated Machine Learning capabilities.
Forecast uncertain demand products
Choose the suitable place for production
Better forecast
Use both quantitative + qualitative method
Analyze historical data => forecast future trend
Use weighted factors (weighted average independent forecasts)
Shorten forecasting duration
In this webinar, NewMR Founder Ray Poynter discusses how to look for patterns in research data, as part of his wider 'Finding and Communicating the Story' series.
View the recording via NewMR.org
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Presentation of sustainable and green transport modes: Walking, Bike, Car, Carpool, Taxi, Bus, Tram. Fuel types according to environment friendly classes - from conventional fuels, bio fuels, electric and hybrid ones. Types of vehicle with various ecology footprint - like Conventional internal combustion engine, Bio-fuel, All-electric, Hydrogen fuel cell, Hybrid electric.
Illustratory data charts with green technology statistics: Transportation gasoline usage per 100 km per passenger; Green Transportation pyramid and Fuel economy
Empowering Business Decisions Using FME WorkbenchSafe Software
Using FME, Critigen developed a spatial analysis tool to perform repeatable, complex analysis on our client's 2 million acres of land to identify additional business opportunities. The tool leverages data from nearly 50 public and private databases and, because of Workbench's extended interoperability, it can incorporate these databases in their raw forms.
Recent world #1 Kaggle Grandmaster and Research Data Scientist at H2O.ai, Marios Michailidis, will delve into the competitive edge that Driverless AI brings out of the box.
Driverless AI can easily score in the top 5% in popular data science challenges against thousands of participants in a matter of minutes with limited processing power.
Apart from the actual predictions, one can use Driverless AI data munging and derived knowledge of the data to build even more powerful models.
This webinar discusses how Driverless AI can get competitive scores in popular Kaggle challenges. Also, Marios will explain the concepts of hyper-parameter tuning and stacking and how they help to make stronger predictions.
Bio:
Former world no.1 Kaggle Grandmaster, Marios Michailidis, is now a Research Data Scientist at H2O.ai. He is finishing his PhD in machine learning at the University College London (UCL) with a focus on ensemble modeling and his previous education entails a B.Sc in Accounting Finance from the University of Macedonia in Greece and an M.Sc. in Risk Management from the University of Southampton. He has gained exposure in marketing and credit sectors in the UK market and has successfully led multiple analytics’ projects based on a wide array of themes.
Before H2O.ai, Marios held the position of Senior Personalization Data Scientist at dunnhumby where his main role was to improve existing algorithms, research benefits of advanced machine learning methods, and provide data insights. He created a matrix factorization library in Java along with a demo version of personalized search capability. Prior to dunnhumby, Marios has held positions of importance at iQor, Capita, British Pearl, and Ey-Zein.
At a personal level, he is the creator and administrator of KazAnova, a freeware GUI for quick credit scoring and data mining which is made absolutely in Java. In addition, he is also the creator of StackNet Meta-Modelling Framework.
Utilization and possibilities of art information in a data-driven societyKAMURA
Recent years, the art market has been growing worldwide, especially in Europe, the United States of America, and China, which have their art markets as crucial industries.
This study aims to reveal the importance of reusable data infrastructure development in the art sector by utilizing information technology and distribution methodology.
In this attempt, we did extract 248 artists well-known based on the data for 4,730 Japanese oil painters collected from art yearbooks. Then, we digitized information such as pieces sold on the art market found on the Internet, extract valuations from museum databases.
We used these indicators to visualize the relationship of groups (Japanese oil painters) through a machine classification.
Sustainable research progress in many scientific disciplines critically depends on the existence of robust specialized databases that integrate and structure all available experimental information in the respective fields. Over years a multitude of chemical formats and approaches were created to address various aspects of handling chemical information and building databases of chemical knowledge. Additional to that inconsistencies in data formatting by individual labs leads to the need to invest significant resources in data curation and interpretation by the technical staff involved in the maintenance of the centralized data collection resource. Acquisition of data from public sources is inefficient, time consuming and limited in scope. The NIH has recently posted its intention to financially support data deposition by investigators through the ‘data sharing plan' for each funded proposal. However, this plan also points to a current weakness of the centralized data sharing and acquisition as all laboratories use different data collection and formatting approaches. It would be far more efficient and useful if there were a standardized data collection and deposition template with standard key terms that could be modified to add new or important additional data or parameters for each investigator. These new features could be ultimately adopted in the classification scheme and guide the scope of the expanding database. This approach would be a win-win as it would enable structure for the investigators laboratory, consistency in data reporting and a means of transmitting data to the database in parallel to publication to eliminate the acquisition step from the process. In this talk we will outline our experience building Open Data Science Platform, a federated database system for direct acquisition, curation and management of research data with integrated Machine Learning capabilities.
Forecast uncertain demand products
Choose the suitable place for production
Better forecast
Use both quantitative + qualitative method
Analyze historical data => forecast future trend
Use weighted factors (weighted average independent forecasts)
Shorten forecasting duration
In this webinar, NewMR Founder Ray Poynter discusses how to look for patterns in research data, as part of his wider 'Finding and Communicating the Story' series.
View the recording via NewMR.org
Similar to Technology Tools for Making Use/Sense of Your Inventory (13)
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
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Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Nutraceutical market, scope and growth: Herbal drug technology
Technology Tools for Making Use/Sense of Your Inventory
1. (Technology) Tools for Making
Use/Sense of Your Urban Forest
Inventory
Kelaine Ravdin
Urban Ecos, LLC
kelaine@urban-ecos.com
2. Making use (sense) of an inventory
For yourself as an
urban forest manager
• Understand the data in the
aggregate
• Visualize it geographically
• Plan for the future
For your constituents
(public, politicians, grant-givers)
• Share the data
• Translate into more
understandable terms
• Justify funding/grant
requests
3. Understand data as a whole
23.83
20.06
19.60
5.13
3.92
2.32
1.80
1.46
1.02
0.94
19.93
Live oak
Crapemyrtle
Sabal palmetto
Water oak
Laurel oak
Flowering dogwood
Loblolly pine
Jelly palm
Red maple
Chinese pistache
Other species
0
20
40
60
80
100
0-6
6-12
12-18
18-24
24-30
30-36
>36
(%)
DBH Class
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Honeylocust
Modestoash
Siberianelm
London…
Desertwillow
Austrianpine
Greenash
Russianolive
NewMexico…
Callerypear
Juniper
Scotchpine
Apple
Purpleleaf…
Pinyonpine
Whiteash
Valley…
Mountain…
Raywoodash
Ponderosa…
Goldenrain…
Chinese…
Eastern…
Citywidetotal
Good
Poor
Dead or Dying
20. iTree Streets
iTree Streets
Understand the data as a whole ✔
Visualize data geographically ✖
Plan for (predict) the future Coming soon
Share the data ✖
Translate into benefits ✔
Justify funding requests ✔
Useful reporting feature ✔
Effort required A day or two
Format Software
Cost Free
24. iTree Design
iTree Design
Understand the data as a whole ✖
Visualize data geographically Small scale
Plan for (predict) the future ✔
Share the data ✖
Translate into benefits ✔
Justify funding requests/grants ✖
Useful reporting feature ✖
Effort required Minutes
Format Web
Cost Free
31. iTree Canopy
iTree Canopy
Understand the data as a whole ✖
Visualize data geographically ✖
Plan for (predict) the future ✖
Share the data ✖
Translate into benefits Some
Justify funding requests/grants ✔
Useful reporting feature ✔
Effort required An hour or two
Format Web
Cost Free
40. OpenTreeMap
OpenTreeMap
Understand the data as a whole ✔
Visualize data geographically ✔
Plan for (predict) the future Coming soon
Share the data ✔
Translate into benefits ✔
Justify funding requests/grants ✔
Useful reporting feature ✔
Effort required
Setup: a few hours to a few days,
Maintenance: a few hours a month
Format Web
Cost $82-1099/month
43. Tree Carbon Calculator
Tree Carbon Calculator
Understand the data as a whole ✖
Visualize data geographically ✖
Plan for (predict) the future Kind of
Share the data ✖
Translate into benefits Some
Justify funding requests/grants ✔
Useful reporting feature ✖
Effort required Minutes to hours
Format Excel
Cost Free
45. EcoSmart Tree Inputs
1. Add trees to map one at a time.
2. May be existing or planned.
3. Enter species and dbh.
4. Once all trees are added, run reports.
47. EcoSmart Reports
Energy conservation due to strategic planting is presented for all trees together at 4-
year intervals.
Avoided CO2 (reductions in CO2 due to lower energy use) are presented for all trees
together at 4-year intervals
48. EcoSmart enterprise (Tree Asset Manager)
• Import large
numbers of trees
• Estimate current
and future:
• Carbon benefits
• Energy
conservation
• Asset
management
(scheduling jobs,
managing service
requests, etc.)
• Reports
49. EcoSmart
EcoSmart (free) EcoSmart Enterprise
Understand the data as a whole ✖ ✔
Visualize data geographically Small scale ✔
Plan for (predict) the future ✔ ✔
Share the data ✖ ✔
Translate into benefits Some Some
Justify funding requests/grants ✖ ✔
Useful reporting feature ✔ ✔
Effort required Minutes Not known
Format Web Software
Cost Free Custom
50. Urban Forestry Tools Comparison
iTree
Streets
iTree
Design
iTree
Canopy
OpenTree
Map
Tree Carbon
Calculator
EcoSmart
(free)
EcoSmart
Enterprise
Understand the data as
a whole ✔ ✖ ✖ ✔ ✖ ✖ ✔
Visualize data
geographically ✖ Small
scale
✖ ✔ ✖ Small scale ✔
Plan for (predict) the
future
Coming
soon ✔ ✖ Coming soon Kind of ✔ ✔
Share the data ✖ ✖ ✖ ✔ ✖ ✖ ✔
Translate into benefits ✔ ✔ Some ✔ Some Some Some
Justify funding
requests/grants ✔ ✖ ✔ ✔ ✔ ✖ ✔
Useful reporting feature ✔ ✖ ✔ ✔ ✖ ✔ ✔
Effort required
A day or
two
Minutes
An hour or
two
A few hours
a month
Minutes to hours Minutes Not known
Format Software Web Web Web Excel Web Software
Cost Free Free Free
$82-
1099/month
Free Free Custom