cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Putting NZSL on the page: multilingual/multimodal picturebooks in New Zealand
Creators: name: Daly, Nicola
name: McKee, Rachel
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2022
Subjects: subject: Linguistics
subject: FOS: Languages and literature
subject: 130299 Curriculum and Pedagogy not elsewhere classified
subject: FOS: Educational sciences

description: No description supplied
Deep Graph Learning for Search & Recommender Systems
Creators: name: Bee-Chung Chen
name: Zhai, Andrew
Publisher: name: Zenodo
Year: 2022

description: Most state-of-the-art search and recommender systems use neural networks to learn representations of entities like users, queries and content items. Graph neural networks (GNNs) are a useful tool for learning such a representation not only based on the entity itself, but also its relationships with other entities. In this talk, we describe the architecture of deep-learning-based search and recommender systems, show how to apply GNNs learned from billions of nodes and edges to these systems to improve their performance, and discuss the lessons that we learned from our journey at Pinterest.
Modeling the startup ecosystem using a config-based knowledge graph
Creators: name: Faingezicht, Avy
name: Zewail, Nabeel
Publisher: name: Zenodo
Year: 2022
Subjects: Knowledge Graph, Startups, Insurtech, Vouch

description: At Vouch, we are building insurance products for top startups. Naturally, modeling the startup ecosystem helps us determine the risk profile of potential clients in our underwriting operation. Understanding individual companies is important but given how young most of our potential clients are we can also derive a lot of valuable information from the relationships between companies, investors, and vendors, which can easily be mapped out using graph technologies. This talk will give a high level overview of how we ingest disparate sources of information and consolidate them into a single graph, including entity resolution and entity summarization to determine the correct values to display for a given real world company. The talk will focus on our configuration-based approach for relational data integration into the graph, and will touch on our progress in producing summarized tabular views from the data we've assembled in the graph.
Graph-driven Orchestration for Digital Business Transformation
Creators: name: Duggal, Dave
Publisher: name: Zenodo
Year: 2022
Subjects: automation
orchestration
graph knowledge base
business transformation
digital business

description: Abstract: Business operations are increasingly fragmented. It is difficult for organizations to coordinate across business silos, cloud hosts and ecosystem partners. While Graphs are well suited for describing complex real-world relationships, their use has been generally limited to visualization, analysis & interoperability of data. The speaker has pioneered the use of graphs to model behavior, as well as data in order to support agile integration & automation across applications, services, cloud hosts, networks and physical devices. The talk will cover distributed systems challenges and how graphs are a natural fit for a next generation application platform. Specifically, a reference implementation will be presented to describe how graphs are driving intelligent orchestration and enabling the Digital Business.

 Speaker: Dave Duggal is CEO of EnterpriseWeb. He founded the company in 2009 to address the challenges of managing increasingly fragmented business operations. Dave has spent his career building & turning around companies. He is the inventor of 15 US patents on complex distributed systems. Dave is a regular speaker at industry conferences (e.g. Layer 123, Structure, CloudExpo, Knowledge Connexions, SemTech, EDW, GoTo Con, TM Forum, BPMnext, IWPC) and an occasional blogger. https://www.linkedin.com/in/daveduggal1, https://twitter.com/dave_ideate
DeepGNN, A Framework For Training Machine Learning Models On Large Scale Graph Data
Creators: name: Samylkin, Alex
name: Gupta, Atul
name: Chaoyin Li
name: Dieckhaus, Cole
name: Zhang, Qiang
name: Tiantian Wang
name: Xuhui Liu
Publisher: name: Zenodo
Year: 2022

description: DeepGNN is framework used internally at LinkedIn and Microsoft for training ML models on large graphs. The biggest challenge to our data scientists is to scale up GNNs to massive graphs with billions of nodes and edges. To address this challenge, we developed DeepGNN framework. It allows training models on large datasets by serving the graph in a distributed fashion with graph engine servers. In this talk, we will highlight design and strengths of DeepGNN, such as efficient memory layout, sampling, and support for both PyTorch and TensorFlow.
Economic benefits of medication reconciliation performed by pharmacists in Heart Failure Clinic
Creators: name: Tasigan Chaemchoi
name: Adisak Weerasaksanti
name: Thanaporn Poohirunkul
name: Suthida Chanchencho
name: Yotsaya Kunlamas
name: Pitchapong Kositchaiwat
name: Sarawut Siwamogsatham
name: Angkawipa Trongtorsak
name: Sarinya Puwanant
name: Supanee Sinphurmsukskul
name: Aekarach Ariyachaipanich
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2020
Subjects: Medication reconciliation, heart failure, ambulatory setting, cost saving

description: Chulalongkorn Medical Journal, 64, 3, 259-266
Determining the value of users for a payment app: the YAP case study
Creators: name: Arditti, Laura
Publisher: name: Zenodo
Year: 2022
Subjects: graph data science
network science
online payment platform
user value

description: How to capture the value of users on a network-based platform? Graph technologies and algorithms allow to go beyond user-centric approaches by extracting value from users’ connections. In this presentation we present the case of YAP (https://www.yap-app.it/), a mobile payment app by Nexi, and we discuss how we built a graph-based measure of users' value to drive business strategies.
Productivity and carbon allocation in a tropical montane cloud forest in the Peruvian Andes
Creators: name: Girardin, Cécile A.J.
name: Doughty, Christopher E.
name: Huasco, Walter Huaraca
name: Marthews, Toby R.
name: Farfán-Rios, William
name: Halladay, Katherine
name: Fisher, Joshua B.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Silman, Miles R.
name: Meir, Patrick
name: Yadvinder Malhi
name: Espejob, Javier E. Silva
name: Metcalfe, Dan B.
name: Durand-Baca, Liliana
name: Luiz E.O.C. Aragao
name: García-Cabrera, Karina
name: Galiano-Cabrera, Darcy F.
name: Luzmila Eguiluz-Mora
name: Norma Salinas -Revilla
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: The slopes of the eastern Andes harbour some of the highest biodiversity on Earth and a high proportion of endemic species. However, there have been only a few and limited descriptions of carbon budgets in tropical montane forest regions. Aims: We present the first comprehensive data on the production, allocation and cycling of carbon for two high elevation (ca. 3000 m) tropical montane cloud forest plots in the Kosñipata Valley, Peruvian Andes. Methods: We measured the main components and seasonal variation of net primary productivity (NPP), autotrophic (Ra) and heterotrophic (Rh) respiration to estimate gross primary productivity (GPP) and carbon use efficiency (CUE) in two 1-ha plots. Results:NPP for the two plots was estimated to be 7.05 ± 0.39 and 8.04 ± 0.47 Mg C ha−1 year−1, GPP to be 22.33 ± 2.23 and 26.82 ± 2.97 Mg C ha−1 year−1 and CUE was 0.32 ± 0.04 and 0.30 ± 0.04. Conclusions: We found strong seasonality in NPP and moderate seasonality of Ra, suggesting that forest NPP is driven by changes in photosynthesis and highlighting the importance of variation in solar radiation. Our findings imply that trees invest more in biomass production in the cooler season with lower solar radiation and more in maintenance during the warmer and high solar radiation period.
Relevance of electrolytes, creatinine and uric acid in progression of type 2 diabetes mellitus in Bangladeshi population
Creators: name: Md. Atiar Rahman
name: Shahnowaj Bhuyian
name: Md. Areeful Haque
name: Hajjare, Dina
name: Walla Alelwanie
name: Makkie, Arwa A.
Publisher: name: Faculty of Medicine Chulalongkorn University
Year: 2020
Subjects: Creatinine, HbA1c, serum electrolytes, type 2 diabetic mellitus, uric acid, URCA

description: Chulalongkorn Medical Journal, 64, 3, 267-274
SPOKE: An Open Knowledge Network for Precision Medicine
Creators: name: Israni, Sharat
name: Baranzini, Sergio
Publisher: name: Zenodo
Year: 2022
Subjects: Knowledge Network
Knowledge Graph
Diseases
Genomics
Drugs
Proteins
Metabolomics

description: We present SPOKE, an Open Knowledge Network (OKN) for Precision Medicine. The network spans from genomic, through the epigenomic, protein, tissue, organ and anatomy layers of the human body and its diseases; and beyond the body to exogeneous factors such as drugs, and environmental factors such as water contaminants. Derived from 45 very large scientifically accepted datasets, the network consists of about 45 million nodes and 75 million relationships, and continues to grow. Its application in precision medicine, and predictions of conditions such as Parkinson's disease per patient, are illustrated.
An Introduction to temporal graph analytics with Pometry
Creators: name: Steer, Benjamin
name: Alhamza Alnaimi
Publisher: name: Zenodo
Year: 2022

description: Data is at the heart of decision making today, and graphs are firmly embedded in the modern data stack. From fraud detection and drug discovery to market and supply modelling, graphs enable previously unachievable insights. However, while graph analytics platforms are increasingly used across the industry, most applications and solutions overlook a crucial element. Time. Current solutions focus solely on the latest version of the data - missing out on how it has arrived at the state it is today. Temporal graphs embed the full history of data, keeping track of every change that has ever occurred. This enables organisations to understand the order of interactions, compare the evolution of the network over time, and control for risk or prepare for future trends. In social networks, this can help us understand the outreach of marketing campaigns or, contrarily, control the spread of fake news. In finance, it helps identify emerging markets and allows for a timely response to financial crime. In supply chains, it brings to light highly coupled dependencies and how service outages may impact delivery. The problem? Graph analytics today is already computationally hard. Imagine what happens if you are now looking at 100,000 different versions of your network across time. In this talk, we introduce the temporal graph model through Raphtory (our open-source tool). How users can leverage time to produce previously untapped, actionable insights. How to scale to billions of records in minutes (full Bitcoin blockchain ingested in 49 minutes, loaded back in 47 seconds) while seemingly shrinking the search space with novel time-respecting queries (following money thousands of hops deep). Finally, we end the presentation with how we are bridging the gap between graph systems and other data science tooling.
Herbivory and habitat association of tree seedlings in lowland evergreen rainforest on white-sand and terra-firme in the upper Rio Negro
Creators: name: Quesada, Carlos A.
name: Stropp, Juliana
name: Sleen, Peter Van Der
name: Steege, Hans Ter
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: It has been proposed that the interaction between herbivory and soil nutrient availability drives habitat association of tree species in Peruvian Amazonia. Nevertheless, there is no empirical evidence that this interaction holds across other Amazonian regions. Aims: We address this knowledge gap by testing whether the interaction between herbivory and soil nutrient contributes to habitat association of tree species in white-sand and terra-firme forests in the upper Rio Negro, Brazil. Methods: We conducted a reciprocal transplanting field experiment in which we controlled for the presence of herbivores. We tested for differences in tree-seedling growth and herbivory among seven white-sand and seven terra-firme habitat-specialist species. Additionally, we assessed whether tree seedlings differed in their functional traits. Results: We found no empirical evidence that an interaction between herbivory and soil nutrients shapes habitat association in white-sand and terra-firme forests of the upper Rio Negro. Tree seedlings showed higher mortality when growing in their non-typical habitat. Growth and herbivory were similar regardless of the presence or absence of herbivore protection and type of soil. Conclusions: We suggest that the overall differences in soil nutrient status between white-sand and terra-firme forests in the upper Rio Negro are insufficient to trigger an interaction between herbivory and soil nutrient availability.
The productivity, allocation and cycling of carbon in forests at the dry margin of the Amazon forest in Bolivia
Creators: name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Silva-Espejo, Javier E.
name: Halladay, Kate
name: Girardin, Cecile A.J.
name: Yadvinder Malhi
name: Araujo-Murakami, Alejandro
name: Luzmila Arroyo
name: Heredia, Juan P.
name: Flores, Marcio
name: Sibler, Rebeca
name: Mendizabal, Luz M.
name: Pardo-Toledo, Erwin
name: Meison Vega
name: Luzmarina Moreno
name: Rojas-Landivar, Victor D.
name: Killeen, Timothy J.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: The dry transitional forests of the southern Amazonia have received little attention from a carbon cycling and ecosystem function perspective, yet they represent ecosystems that may be impacted by global climate change in the future. Aims: To compare the full carbon cycle for two 1-ha forest plots that straddle the ecotone between humid forest and dry forest in Amazonia, ca. 100 km from Santa Cruz, Bolivia. Methods: 2.5 years of measurements of the components of net primary production (NPP) and autotrophic respiration were collected. Results: Total NPP was 15.5 ± 0.89 Mg C ha−1 year−1 at the humid site and 11.27 ± 0.68 Mg C ha−1 year−1 at the dry site; a total Gross Primary Production (GPP) of 34.14 ± 2.92 Mg C ha−1 year−1 and 26.88 ± 2.70 Mg C ha−1 year−1 at the two sites. Carbon use efficiency for both sites was higher than reported for other Amazonian forests (0.45 ± 0.05 and 0.42 ± 0.05). Conclusions: Drier soil conditions selected for the dry deciduous tree species which had higher leaf photosynthesis and total GPP. NPP allocation patterns were similar at the two sites, suggesting that in terms of carbon allocation, the dry forests of the southern Amazonia behave as a scaled-down version of wetter humid forests.
title: Zur Korrekturdauer von Doktorarbeiten: ein Appell an die Dekane der rechtswissenschaftlichen Fakultäten in Deutschland
Creators: name: Schmalz, Dana
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2020
Subjects: subject: 342

description: Verfassungsblog: On Matters Constitutional
Seasonal production, allocation and cycling of carbon in two mid-elevation tropical montane forest plots in the Peruvian Andes
Creators: name: Girardin, Cécile A.J.
name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Silva-Espejo, Javier E.
name: Luiz E.O.C. Aragão
name: Marthews, Toby R.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Silman, Miles R.
name: Meir, Patrick
name: Yadvinder Malhi
name: Huasco, Walter Huaraca
name: Baca, Liliana D.
name: Cabrera, Darcy G.
name: Davila, Angela R.
name: Luzmila E. Mora
name: Farfán-Rios, William
name: Cabrera, Karina G.
name: Halladay, Katherine
name: Salinas-Revilla, Norma
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: Tropical montane cloud forests (TMCF) are unique ecosystems with high biodiversity and large carbon reservoirs. To date there have been limited descriptions of the carbon cycle of TMCF. Aims: We present results on the production, allocation and cycling of carbon for two mid-elevation (1500–1750 m) tropical montane cloud forest plots in San Pedro, Kosñipata Valley, Peru. Methods: We repeatedly recorded the components of net primary productivity (NPP) using biometric measurements, and autotrophic (Ra) and heterotrophic (Rh) respiration, using gas exchange measurements. From these we estimated gross primary productivity (GPP) and carbon use efficiency (CUE) at the plot level. Results: The plot at 1500 m was found very productive, with our results comparable with the most productive lowland Amazonian forests. The plot at 1750 m had significantly lower productivity, possibly because of greater cloud immersion. Both plots had similar patterns of NPP allocation, a substantial seasonality in NPP components and little seasonality in Ra. Conclusions: These two plots lie within the ecotone between lower and upper montane forests, near the level of the cloud base. Climate change is likely to increase elevation of the cloud base, resulting in shifts in forest functioning. Longer-term surveillance of the carbon cycle at these sites would yield valuable insights into the response of TMCFs to a shifting cloud base.
Productivity and carbon allocation in a tropical montane cloud forest in the Peruvian Andes
Creators: name: Girardin, Cécile A.J.
name: Doughty, Christopher E.
name: Huasco, Walter Huaraca
name: Marthews, Toby R.
name: Farfán-Rios, William
name: Halladay, Katherine
name: Fisher, Joshua B.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Silman, Miles R.
name: Meir, Patrick
name: Yadvinder Malhi
name: Espejob, Javier E. Silva
name: Metcalfe, Dan B.
name: Durand-Baca, Liliana
name: Luiz E.O.C. Aragao
name: García-Cabrera, Karina
name: Galiano-Cabrera, Darcy F.
name: Luzmila Eguiluz-Mora
name: Norma Salinas -Revilla
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: The slopes of the eastern Andes harbour some of the highest biodiversity on Earth and a high proportion of endemic species. However, there have been only a few and limited descriptions of carbon budgets in tropical montane forest regions. Aims: We present the first comprehensive data on the production, allocation and cycling of carbon for two high elevation (ca. 3000 m) tropical montane cloud forest plots in the Kosñipata Valley, Peruvian Andes. Methods: We measured the main components and seasonal variation of net primary productivity (NPP), autotrophic (Ra) and heterotrophic (Rh) respiration to estimate gross primary productivity (GPP) and carbon use efficiency (CUE) in two 1-ha plots. Results:NPP for the two plots was estimated to be 7.05 ± 0.39 and 8.04 ± 0.47 Mg C ha−1 year−1, GPP to be 22.33 ± 2.23 and 26.82 ± 2.97 Mg C ha−1 year−1 and CUE was 0.32 ± 0.04 and 0.30 ± 0.04. Conclusions: We found strong seasonality in NPP and moderate seasonality of Ra, suggesting that forest NPP is driven by changes in photosynthesis and highlighting the importance of variation in solar radiation. Our findings imply that trees invest more in biomass production in the cooler season with lower solar radiation and more in maintenance during the warmer and high solar radiation period.
title: Grundrechte schützen – eine grenzenlose Verpflichtung?: Die Anwendbarkeit deutscher Grundrechte in der Tätigkeit des BND aus völkerrechtlicher Perspektive
Creators: name: Tuchtfeld, Erik
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2020
Subjects: subject: 341

description: Völkerrechtsblog
title: CSUler in die Container?: Oder wie man doch noch zu einem Bundestag mit 598 Abgeordneten kommen kann
Creators: name: Gschwend, Thomas
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2020
Subjects: subject: 342

description: Verfassungsblog: On Matters Constitutional
The production, allocation and cycling of carbon in a forest on fertile terra preta soil in eastern Amazonia compared with a forest on adjacent infertile soil
Creators: name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Costa, Mauricio C. Da
name: Luiz E.O.C. Aragão
name: Quesada, Carlos A.
name: Halladay, Kate
name: Yadvinder Malhi
name: Oliveira, Alex A.R. De
name: G. F.C. Neto
name: Silva, João A.
name: Almeida, Samuel S.
name: Girardin, Cecile A.J.
name: Anthonio C.L. Da Costa
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background:Terra preta do indio or ‘dark earth’ soils formed as a result of a long-term addition of organic matter by indigenous peoples in Amazonia. Aims: Here we report on the first study of productivity, allocation and carbon cycling from a terra preta plot in eastern Amazonia (Caxiuanã, Pará, Brazil), and contrast its dynamics with a nearby plot on infertile soil (ferralsols). Methods: We determined total net primary production (NPP) for fine roots, wood, and canopy and total autotrophic respiration (rhizosphere, wood, and canopy respiration) from two 1-ha plots on contrasting soils. Results: Both gross primary productivity (GPP) (35.68 ± 3.65 vs. 32.08 ± 3.46 Mg C ha−1 year−1) and carbon use efficiency (CUE) (0.44 ± 0.06 vs. 0.42 ± 0.05) were slightly higher at the terra preta plot. Total NPP (15.77 ± 1.13 Mg C ha−1 year−1 vs. 13.57 ± 0.60 Mg C ha−1 year−1) and rates of fine root production (6.41 ± 1.08 vs. 3.68 ± 0.52 Mg C ha−1 year−1) were also greater at the terra preta plot vs. the tower plot. Conclusions: Forests on terra preta soil fix slightly more carbon and allocate slightly more of that carbon towards growth than forests on the infertile plot, which leads to greater total NPP, which was disproportionately allocated to fine roots. However, since increased fine root NPP was partially offset by increased heterotrophic soil respiration, the increased root growth was unlikely to greatly enhance soil carbon stocks in terra preta soils.
The productivity, allocation and cycling of carbon in forests at the dry margin of the Amazon forest in Bolivia
Creators: name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Silva-Espejo, Javier E.
name: Halladay, Kate
name: Girardin, Cecile A.J.
name: Yadvinder Malhi
name: Araujo-Murakami, Alejandro
name: Luzmila Arroyo
name: Heredia, Juan P.
name: Flores, Marcio
name: Sibler, Rebeca
name: Mendizabal, Luz M.
name: Pardo-Toledo, Erwin
name: Meison Vega
name: Luzmarina Moreno
name: Rojas-Landivar, Victor D.
name: Killeen, Timothy J.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: The dry transitional forests of the southern Amazonia have received little attention from a carbon cycling and ecosystem function perspective, yet they represent ecosystems that may be impacted by global climate change in the future. Aims: To compare the full carbon cycle for two 1-ha forest plots that straddle the ecotone between humid forest and dry forest in Amazonia, ca. 100 km from Santa Cruz, Bolivia. Methods: 2.5 years of measurements of the components of net primary production (NPP) and autotrophic respiration were collected. Results: Total NPP was 15.5 ± 0.89 Mg C ha−1 year−1 at the humid site and 11.27 ± 0.68 Mg C ha−1 year−1 at the dry site; a total Gross Primary Production (GPP) of 34.14 ± 2.92 Mg C ha−1 year−1 and 26.88 ± 2.70 Mg C ha−1 year−1 at the two sites. Carbon use efficiency for both sites was higher than reported for other Amazonian forests (0.45 ± 0.05 and 0.42 ± 0.05). Conclusions: Drier soil conditions selected for the dry deciduous tree species which had higher leaf photosynthesis and total GPP. NPP allocation patterns were similar at the two sites, suggesting that in terms of carbon allocation, the dry forests of the southern Amazonia behave as a scaled-down version of wetter humid forests.
title: Polen, die EU und das Ende der Welt, wie wir sie kennen: ein Interview mit Franz Mayer
Creators: name: Steinbeis, Maximilian
name: Mayer, Franz
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2020
Subjects: subject: 342

description: Verfassungsblog: On Matters Constitutional
Seasonal production, allocation and cycling of carbon in two mid-elevation tropical montane forest plots in the Peruvian Andes
Creators: name: Girardin, Cécile A.J.
name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Silva-Espejo, Javier E.
name: Luiz E.O.C. Aragão
name: Marthews, Toby R.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Silman, Miles R.
name: Meir, Patrick
name: Yadvinder Malhi
name: Huasco, Walter Huaraca
name: Baca, Liliana D.
name: Cabrera, Darcy G.
name: Davila, Angela R.
name: Luzmila E. Mora
name: Farfán-Rios, William
name: Cabrera, Karina G.
name: Halladay, Katherine
name: Salinas-Revilla, Norma
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: Tropical montane cloud forests (TMCF) are unique ecosystems with high biodiversity and large carbon reservoirs. To date there have been limited descriptions of the carbon cycle of TMCF. Aims: We present results on the production, allocation and cycling of carbon for two mid-elevation (1500–1750 m) tropical montane cloud forest plots in San Pedro, Kosñipata Valley, Peru. Methods: We repeatedly recorded the components of net primary productivity (NPP) using biometric measurements, and autotrophic (Ra) and heterotrophic (Rh) respiration, using gas exchange measurements. From these we estimated gross primary productivity (GPP) and carbon use efficiency (CUE) at the plot level. Results: The plot at 1500 m was found very productive, with our results comparable with the most productive lowland Amazonian forests. The plot at 1750 m had significantly lower productivity, possibly because of greater cloud immersion. Both plots had similar patterns of NPP allocation, a substantial seasonality in NPP components and little seasonality in Ra. Conclusions: These two plots lie within the ecotone between lower and upper montane forests, near the level of the cloud base. Climate change is likely to increase elevation of the cloud base, resulting in shifts in forest functioning. Longer-term surveillance of the carbon cycle at these sites would yield valuable insights into the response of TMCFs to a shifting cloud base.
Leveraging Domain Knowledge For Deep Learning Based Computer Vision
Creators: name: Davids, Sharon
name: Suneeta Mall
Publisher: name: Zenodo
Year: 2022
Subjects: Deep Learning
Computer Vision
Knowledge Graph

description: Deep learning models require massive amounts of data to perform accurately. As the world is inherently interconnected, we can leverage relationships amongst identifiable objects to improve Deep Learning. For example, a shingle roof can not be tile roof, but both are roofs. So, we set ourselves a challenge: “How can we leverage the knowledge and the relationship amongst the things we see in our world to improve our data, software systems and the deep learning model?”. In this presentation, we share our experiences with knowledge graphs as a technique to model domain knowledge and reason about it to derive an embedding. We have leveraged these embeddings in numerous applications to build a more scalable, reliable and efficient AI System. The applications includes improving quality and richness of our datasets, identifying gaps in annotators’ knowledge, utilising existing data to synthesis new objects on the fly, and also to increase efficiencies of deep learning models.
Diversity, abundance and distribution of lianas of the Cerrado–Amazonian forest transition, Brazil
Creators: name: Lloyd, Jon
name: Phillips, Oliver L.
name: Oliveira, Edmar Almeida De
name: Marimon, Beatriz Schwantes
name: Feldpausch, Ted R.
name: Colli, Guarino Rinaldi
name: Marimon-Junior, Ben Hur
name: Lenza, Eddie
name: Maracahipes, Leandro
name: Claudinei Oliveira-Santos
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: Lianas strongly influence tropical forest dynamics and diversity. Aims: To determine the relationship among richness, diversity, abundance and distribution of liana species in different vegetation formation types along a gradient within a savanna–forest transition zone in central Brazil. Methods: All liana species were identified and their girth measurements (≥5 cm) taken in one 1 ha plot at each of 15 sites that encompassed a range of vegetation types: dystrophic cerradão (tall closed woodland cerrado), gallery forest, flooded forest, semi-deciduous seasonal forest (one monodominant) and evergreen forest. We evaluated and compared the communities in terms of richness, community diversity (Shannon's H’), equitability (Hurlbert's, PIE), and the distribution of liana abundance. Results: In total, 1467 individual lianas belonging to 65 species, 41 genera and 17 families were recorded in the 15 ha sampled. The value of H’ varied from 0–2.47, and that of PIE ranged from 0–0.90. While flooded forests had remarkably high liana densities, their liana community was dominated by just one species, Combretum laxum (64% of stems); the most abundant liana in non-flooded forests was Heteropterys eglandulosa (13%). The different liana species showed varying affiliations with vegetation type, with distinct species groupings associated with the different vegetation types. Conclusions: Variations in species composition and distribution of lianas in this savanna–forest transition were found to be driven by environmental gradients that cause distinct species associations with discrete vegetation formation types.
Vertical distance from drainage drives floristic composition changes in an Amazonian rainforest
Creators: name: Schietti, Juliana
name: Thaise Emilio
name: Magnusson, William E.
name: Rennó, Camilo D.
name: Drucker, Debora P.
name: Costa, Flávia R.C.
name: Nogueira, Anselmo
name: Baccaro, Fabricio B.
name: Figueiredo, Fernando
name: Castilho, Carolina V.
name: Valdely Kinupp
name: Jean-Louis Guillaumet
name: Garcia, Ana Raquel M.
name: Lima, Albertina P.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: Plant composition changes with topography and edaphic gradients that correlate with soil-water and nutrient availability. Data on soil water for the Amazon Basin are scarce, limiting the possibility of distinguishing between soil and soil-water influences on plant composition. Aim: We tested a new proxy for water table depth, the terrain height above nearest drainage (HAND), as a predictor of composition in trees, lianas, palms, shrubs, and herbs and compared HAND to conventional measures of height above sea level (HASL) and horizontal distances from nearest drainage (HDND). Methods: Plant-species composition in 72 plots distributed across 64 km2 of lowland evergreen terra firme forest was summarised using non-metric multidimensional scaling (NMDS). NMDS scores were regressed against estimates of HAND, HASL and HDND. Results: Plant composition was highly correlated with the vertical distance from water table, capturing up to 82% of variation. All life forms showed highest turnover rates in the zone with seasonally water-saturated soils, which can extend 350 m from stream margins. Conclusions: Floristic composition is closely related to water table depth, and HAND appears to be the most robust available topographical metric of soil-water gradients. Brazilian conservation laws protecting 30-m-wide riparian buffers are likely to be too narrow to encompass the full zone of highest floristic turnover and may be ineffective in safeguarding riparian plant diversity.
title: „Richter sein bedeutet, von allen Seiten kritisiert zu werden“: Ein Interview mit Angelika Nußberger
Creators: name: Kunz, Raffaela
name: Schmalz, Dana
Publisher: name: Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung
Year: 2020
Subjects: subject: 341

description: Völkerrechtsblog
The production, allocation and cycling of carbon in a forest on fertile terra preta soil in eastern Amazonia compared with a forest on adjacent infertile soil
Creators: name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Costa, Mauricio C. Da
name: Luiz E.O.C. Aragão
name: Quesada, Carlos A.
name: Halladay, Kate
name: Yadvinder Malhi
name: Oliveira, Alex A.R. De
name: G. F.C. Neto
name: Silva, João A.
name: Almeida, Samuel S.
name: Girardin, Cecile A.J.
name: Anthonio C.L. Da Costa
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background:Terra preta do indio or ‘dark earth’ soils formed as a result of a long-term addition of organic matter by indigenous peoples in Amazonia. Aims: Here we report on the first study of productivity, allocation and carbon cycling from a terra preta plot in eastern Amazonia (Caxiuanã, Pará, Brazil), and contrast its dynamics with a nearby plot on infertile soil (ferralsols). Methods: We determined total net primary production (NPP) for fine roots, wood, and canopy and total autotrophic respiration (rhizosphere, wood, and canopy respiration) from two 1-ha plots on contrasting soils. Results: Both gross primary productivity (GPP) (35.68 ± 3.65 vs. 32.08 ± 3.46 Mg C ha−1 year−1) and carbon use efficiency (CUE) (0.44 ± 0.06 vs. 0.42 ± 0.05) were slightly higher at the terra preta plot. Total NPP (15.77 ± 1.13 Mg C ha−1 year−1 vs. 13.57 ± 0.60 Mg C ha−1 year−1) and rates of fine root production (6.41 ± 1.08 vs. 3.68 ± 0.52 Mg C ha−1 year−1) were also greater at the terra preta plot vs. the tower plot. Conclusions: Forests on terra preta soil fix slightly more carbon and allocate slightly more of that carbon towards growth than forests on the infertile plot, which leads to greater total NPP, which was disproportionately allocated to fine roots. However, since increased fine root NPP was partially offset by increased heterotrophic soil respiration, the increased root growth was unlikely to greatly enhance soil carbon stocks in terra preta soils.
The productivity, metabolism and carbon cycle of two lowland tropical forest plots in south-western Amazonia, Peru
Creators: name: Yadvinder Malhi
name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Luiz E.O.C. Aragão
name: Quesada, Carlos A.
name: Meir, Patrick
name: Phillips, Oliver L.
name: Amézquita, Filio Farfán
name: Silva-Espejo, Javier E.
name: Girardin, Cécile A.J.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Luzmilla Eguiluz-Mora
name: Marthews, Toby R.
name: Halladay, Kate
name: Robertson, Amanda L.
name: Fisher, Joshua B.
name: Zaragoza-Castells, Joana
name: Rojas-Villagra, Clara M.
name: Yulina Pelaez-Tapia
name: Salinas, Norma
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: The forests of western Amazonia are known to be more dynamic that the better-studied forests of eastern Amazonia, but there has been no comprehensive description of the carbon cycle of a western Amazonian forest. Aims: We present the carbon budget of two forest plots in Tambopata in south-eastern Peru, western Amazonia. In particular, we present, for the first time, the seasonal variation in the detailed carbon budget of a tropical forest. Methods: We measured the major components of net primary production (NPP) and total autotrophic respiration over 3–6 years. Results: The NPP for the two plots was 15.1 ± 0.8 and 14.2 ± 1.0 Mg C ha−1 year−1, the gross primary productivity (GPP) was 35.5 ± 3.6 and 34.5 ± 3.5 Mg C ha−1 year−1, and the carbon use efficiency (CUE) was 0.42 ± 0.05 and 0.41 ± 0.05. NPP and CUE showed a large degree of seasonality. Conclusions: The two plots were similar in carbon cycling characteristics despite the different soils, the most notable difference being high allocation of NPP to canopy and low allocation to fine roots in the Holocene floodplain plot. The timing of the minima in the wet–dry transition suggests they are driven by phenological rhythms rather than being driven directly by water stress. When compared with results from forests on infertile forests in humid lowland eastern Amazonia, the plots have slightly higher GPP, but similar patterns of CUE and carbon allocation.
Biaxial atomically resolved force microscopy based on a qPlus sensor operated simultaneously in the first flexural and length extensional modes
Creators: name: Kirpal, Dominik
name: Qiu, Jinglan
name: Pürckhauer, Korbinian
name: Weymouth, Alfred J.
name: Metz, Michael
name: Giessibl, Franz J.
Publisher: name: Universität Regensburg
Year: 2021
Subjects: subject: 530 Physik

description: Frequency-modulation atomic force microscopy (AFM) with a qPlus sensor allows one to atomically resolve surfaces in a variety of environments ranging from low-temperature in ultra-high vacuum to ambient and liquid conditions. Typically, the tip is driven to oscillate vertically, giving a measure of the vertical force component. However, for many systems, the lateral force component provides valuable information about the sample. Measuring lateral and vertical force components simultaneously by oscillating vertically and laterally has so far only been demonstrated with relatively soft silicon cantilevers and optical detection. Here, we show that the qPlus sensor can be used in a biaxial mode with electrical detection by making use of the first flexural mode and the length extensional mode. We describe the necessary electrode configuration as well as the electrical detection circuit and compare the length extensional mode to the needle sensor. Finally, we show atomic resolution in ambient conditions of a mica surface and in ultra-high vacuum of a silicon surface. In addition to this, we show how any qPlus AFM setup can be modified to work as a biaxial sensor, allowing two independent force components to be recorded.
Vertical distance from drainage drives floristic composition changes in an Amazonian rainforest
Creators: name: Schietti, Juliana
name: Thaise Emilio
name: Magnusson, William E.
name: Rennó, Camilo D.
name: Drucker, Debora P.
name: Costa, Flávia R.C.
name: Nogueira, Anselmo
name: Baccaro, Fabricio B.
name: Figueiredo, Fernando
name: Castilho, Carolina V.
name: Valdely Kinupp
name: Jean-Louis Guillaumet
name: Garcia, Ana Raquel M.
name: Lima, Albertina P.
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: Plant composition changes with topography and edaphic gradients that correlate with soil-water and nutrient availability. Data on soil water for the Amazon Basin are scarce, limiting the possibility of distinguishing between soil and soil-water influences on plant composition. Aim: We tested a new proxy for water table depth, the terrain height above nearest drainage (HAND), as a predictor of composition in trees, lianas, palms, shrubs, and herbs and compared HAND to conventional measures of height above sea level (HASL) and horizontal distances from nearest drainage (HDND). Methods: Plant-species composition in 72 plots distributed across 64 km2 of lowland evergreen terra firme forest was summarised using non-metric multidimensional scaling (NMDS). NMDS scores were regressed against estimates of HAND, HASL and HDND. Results: Plant composition was highly correlated with the vertical distance from water table, capturing up to 82% of variation. All life forms showed highest turnover rates in the zone with seasonally water-saturated soils, which can extend 350 m from stream margins. Conclusions: Floristic composition is closely related to water table depth, and HAND appears to be the most robust available topographical metric of soil-water gradients. Brazilian conservation laws protecting 30-m-wide riparian buffers are likely to be too narrow to encompass the full zone of highest floristic turnover and may be ineffective in safeguarding riparian plant diversity.
Ecosystem respiration and net primary productivity after 8–10 years of experimental through-fall reduction in an eastern Amazon forest
Creators: name: Yadvinder Malhi
name: Costa, Antonio C.L. Da
name: Metcalfe, Daniel B.
name: Doughty, Chris E.
name: Oliveira, Alexandre A.R. De
name: Neto, Guilherme F.C.
name: Costa, Mauricio C. Da
name: Junior, João De Athaydes Silva
name: Luiz E.O.C. Aragão
name: Almeida, Samuel
name: Galbraith, David R.
name: Rowland, Lucy M.
name: Meir, Patrick
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Background: There is much interest in how the Amazon rainforest may respond to future rainfall reduction. However, there are relatively few ecosystem-scale studies to inform this debate. Aims: We described the carbon cycle in a 1 ha rainforest plot subjected to 8–10 consecutive years of ca. 50% through-fall reduction (TFR) and compare these results with those from a nearby, unmodified control plot in eastern Amazonia. Methods: We quantified the components of net primary productivity (NPP), autotrophic (Ra) and heterotrophic respiration, and estimate gross primary productivity (GPP, the sum of NPP and Ra) and carbon-use efficiency (CUE, the ratio of NPP/GPP). Results: The TFR forest exhibited slightly lower NPP but slightly higher Ra, such that forest CUE was 0.29 ± 0.04 on the control plot but 0.25 ± 0.03 on the TFR plot. Compared with four years earlier, TFR plot leaf area index and small tree growth recovered and soil heterotrophic respiration had risen. Conclusions: This analysis tested and extended the key findings of a similar analysis 4 years earlier in the TFR treatment. The results indicated that, while the forest recovered from extended drought in some respects, it maintained higher overall Ra relative to the undroughted control, potentially causing the droughted forest to act as a net source of CO2.
A Methodology for Quantitatively Characterizing the Dispersion of Nanostructures in Polymers and Composites
Creators: name: S. Pfeifer
name: P.R. Bandaru
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: We seek to provide a metric for quantifying the degree of dispersion of nanostructures, such as carbon nanotubes in polymeric and other matrices, motivated by the technological importance of nanostructure-based composites. Our proposed measure of dispersion uses a quadrat-based sampling algorithm and a metric d(P| | Q), to correlate randomness to the dispersion. This allows a quantitative comparison of the given distribution (say, P) to a preferred distribution or pattern (say, Q). We provide examples from our own studies and those from the literature on the application of the metric.
Ecosystem respiration and net primary productivity after 8–10 years of experimental through-fall reduction in an eastern Amazon forest
Creators: name: Yadvinder Malhi
name: Costa, Antonio C.L. Da
name: Metcalfe, Daniel B.
name: Doughty, Chris E.
name: Oliveira, Alexandre A.R. De
name: Neto, Guilherme F.C.
name: Costa, Mauricio C. Da
name: Junior, João De Athaydes Silva
name: Luiz E.O.C. Aragão
name: Almeida, Samuel
name: Galbraith, David R.
name: Rowland, Lucy M.
name: Meir, Patrick
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: There is much interest in how the Amazon rainforest may respond to future rainfall reduction. However, there are relatively few ecosystem-scale studies to inform this debate. Aims: We described the carbon cycle in a 1 ha rainforest plot subjected to 8–10 consecutive years of ca. 50% through-fall reduction (TFR) and compare these results with those from a nearby, unmodified control plot in eastern Amazonia. Methods: We quantified the components of net primary productivity (NPP), autotrophic (Ra) and heterotrophic respiration, and estimate gross primary productivity (GPP, the sum of NPP and Ra) and carbon-use efficiency (CUE, the ratio of NPP/GPP). Results: The TFR forest exhibited slightly lower NPP but slightly higher Ra, such that forest CUE was 0.29 ± 0.04 on the control plot but 0.25 ± 0.03 on the TFR plot. Compared with four years earlier, TFR plot leaf area index and small tree growth recovered and soil heterotrophic respiration had risen. Conclusions: This analysis tested and extended the key findings of a similar analysis 4 years earlier in the TFR treatment. The results indicated that, while the forest recovered from extended drought in some respects, it maintained higher overall Ra relative to the undroughted control, potentially causing the droughted forest to act as a net source of CO2.
The productivity, metabolism and carbon cycle of two lowland tropical forest plots in south-western Amazonia, Peru
Creators: name: Yadvinder Malhi
name: Doughty, Christopher E.
name: Metcalfe, Daniel B.
name: Luiz E.O.C. Aragão
name: Quesada, Carlos A.
name: Meir, Patrick
name: Phillips, Oliver L.
name: Amézquita, Filio Farfán
name: Silva-Espejo, Javier E.
name: Girardin, Cécile A.J.
name: Huaraca-Quispe, Lidia P.
name: Alzamora-Taype, Ivonne
name: Luzmilla Eguiluz-Mora
name: Marthews, Toby R.
name: Halladay, Kate
name: Robertson, Amanda L.
name: Fisher, Joshua B.
name: Zaragoza-Castells, Joana
name: Rojas-Villagra, Clara M.
name: Yulina Pelaez-Tapia
name: Salinas, Norma
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Background: The forests of western Amazonia are known to be more dynamic that the better-studied forests of eastern Amazonia, but there has been no comprehensive description of the carbon cycle of a western Amazonian forest. Aims: We present the carbon budget of two forest plots in Tambopata in south-eastern Peru, western Amazonia. In particular, we present, for the first time, the seasonal variation in the detailed carbon budget of a tropical forest. Methods: We measured the major components of net primary production (NPP) and total autotrophic respiration over 3–6 years. Results: The NPP for the two plots was 15.1 ± 0.8 and 14.2 ± 1.0 Mg C ha−1 year−1, the gross primary productivity (GPP) was 35.5 ± 3.6 and 34.5 ± 3.5 Mg C ha−1 year−1, and the carbon use efficiency (CUE) was 0.42 ± 0.05 and 0.41 ± 0.05. NPP and CUE showed a large degree of seasonality. Conclusions: The two plots were similar in carbon cycling characteristics despite the different soils, the most notable difference being high allocation of NPP to canopy and low allocation to fine roots in the Holocene floodplain plot. The timing of the minima in the wet–dry transition suggests they are driven by phenological rhythms rather than being driven directly by water stress. When compared with results from forests on infertile forests in humid lowland eastern Amazonia, the plots have slightly higher GPP, but similar patterns of CUE and carbon allocation.
Disease Diagnosis and Management Using Machine Learning and Power BI
Creators: name: M.Mariammal, Mrs.M.Aruna Devi
Publisher: name: Zenodo
Year: 2025

description: The timely identification of diseases is critical for better patient health outcomes and lowerhealthcare expenditures. This research presents an artificial intelligence-driven system designed fordisease diagnosis and management, utilizing machine learning algorithms and the Streamlit framework.The system processes health information provided by users to forecast the likelihood of developingconditions such as diabetes, cardiovascular disease, and Parkinson’s disease. Through an accessible userinterface, individuals input their medical data, which is then analyzed by pre-existing machine learningmodels to produce immediate risk assessments. The use of stored model files ensures rapid and reliabledisease categorization. Furthermore, Power BI is incorporated to improve healthcare oversight throughdynamic data visualization and real-time analytical capabilities.The system assesses crucial health metrics,including blood pressure, cholesterol levels, body mass index (BMI), glucose levels, electrocardiogram(ECG) readings, and vocal biomarkers, to determine disease susceptibility. By integrating machinelearning techniques with sophisticated visualization tools, this approach facilitates early diagnosis,supports proactive health management strategies, and equips both patients and healthcare providers withthe necessary information for well-informed decisions. Future development efforts may concentrate onenhancing the precision of the models, broadening the spectrum of diseases that can be predicted, andincorporating real-time virtual medical consultations to increase accessibility and the quality of patientcare.