1) The study examined the effect of plant patches and plant type on soil microbial communities in desert landscapes.
2) Results showed shifts in microbial community structure between soils under plant canopies and intershrub spaces, with plant canopies primarily influencing surrounding microbes.
3) Location and plant type had secondary effects, with different microbial communities found between the two research sites likely due to climatic differences.
The document provides equations for calculating inside and outside film coefficients (hi and ho) of jacketed agitated vessels for various agitator types and reactor designs. The equations relate the film coefficients to dimensionless numbers including the Reynolds number, Nusselt number, Prandtl number, and Grashof number. The equations apply under different flow conditions such as laminar, turbulent, or transitional and consider factors like baffling, geometry, and viscosity.
Metal ion burst: Examining metal ion diffusion using ultrafast fluorescence s...Chelsey Crosse
Presentation to accompany my report for my oral examination. Details background of fluorescence upconversion techniques, development of measurement systems for release of a metal cation and minimization of diffusion distribution in solutions.
Rta Eas & Pittcon 2010 Sers Featured Talksinscore
RTA SERS develops SERS-active substrates and devices for chemical analysis applications. Their team includes researchers developing new substrate materials and applications in food/water safety and healthcare. Key challenges addressed include detecting parts-per-billion levels of chemicals in water and food, rapidly identifying drug overdoses from saliva, and non-invasively monitoring drug metabolite levels to optimize chemotherapy dosing. Their SERS substrates and portable devices aim to provide sensitive, specific, and rapid chemical analysis to enable real-time decision making.
Evaluation of stress resistant sweetpotato varieties and their low cost micro...ILRI
1) The document evaluates stress resistant sweet potato varieties and their low-cost micropropagation in Ethiopia. Variety trials identified 6 varieties in southern Ethiopia and 4 in eastern Ethiopia that were resistant to drought and sweet potato weevil.
2) Low-cost media was developed for micropropagation using locally available materials like cassava flour, starch, and table sugar. The substituted media reduced costs by 59.2% while still supporting good plant growth.
3) The identified resistant varieties and low-cost micropropagation techniques show promise for improving sweet potato production and availability in Ethiopia. Further testing of micropropagated plants and releasing top varieties is recommended.
1) A study was conducted to reverse engineer an oral suspension containing a poorly water soluble drug to match the dissolution profile of the reference listed drug (RLD) using quality by design principles.
2) Two multivariate design of experiments (DoEs) were used, along with live in-situ dissolution monitoring using fiber optic probes, to identify formulation factors influencing dissolution and reduce development time.
3) The approach resulted in a new formulation matching the RLD dissolution profile within 72 hours, much faster than traditional methods requiring costly and time-consuming HPLC analysis.
ARGOMARINE Final Conference - NTUA Presentation - Vassilia Karathanassi, Pol ...ARGOMARINE
This document discusses remote sensing technologies for monitoring oil spills in the Mediterranean Sea. It summarizes that hyperspectral and multispectral imagery can be used to detect oil spills, estimate their thickness and type. Laboratory and in situ measurements are needed to create an extensive spectral library to accurately analyze oil spills remotely. The document also presents a case study where a natural oil seep was discovered in the Mediterranean using historical Landsat images and RapidEye satellite data.
Nutrient Leaching and Groundwater Quality Assessment near Integrated Construc...Mawuli Dzakpasu
The document summarizes a study assessing nutrient leaching and groundwater quality near an integrated constructed wetland treating domestic wastewater. Key findings include:
1) The constructed wetland was very effective at removing nutrients like ammonia, nitrates, and phosphates from wastewater, achieving over 80% removal on average.
2) Leachate from the wetland cells contained high levels of ammonia but generally low levels of nitrates and phosphates.
3) Low infiltration rates from the wetland may not immediately threaten groundwater quality.
4) Groundwater nutrient levels were generally low except near sites with peat in the soil, which saw slightly elevated ammonia levels.
The document provides equations for calculating inside and outside film coefficients (hi and ho) of jacketed agitated vessels for various agitator types and reactor designs. The equations relate the film coefficients to dimensionless numbers including the Reynolds number, Nusselt number, Prandtl number, and Grashof number. The equations apply under different flow conditions such as laminar, turbulent, or transitional and consider factors like baffling, geometry, and viscosity.
Metal ion burst: Examining metal ion diffusion using ultrafast fluorescence s...Chelsey Crosse
Presentation to accompany my report for my oral examination. Details background of fluorescence upconversion techniques, development of measurement systems for release of a metal cation and minimization of diffusion distribution in solutions.
Rta Eas & Pittcon 2010 Sers Featured Talksinscore
RTA SERS develops SERS-active substrates and devices for chemical analysis applications. Their team includes researchers developing new substrate materials and applications in food/water safety and healthcare. Key challenges addressed include detecting parts-per-billion levels of chemicals in water and food, rapidly identifying drug overdoses from saliva, and non-invasively monitoring drug metabolite levels to optimize chemotherapy dosing. Their SERS substrates and portable devices aim to provide sensitive, specific, and rapid chemical analysis to enable real-time decision making.
Evaluation of stress resistant sweetpotato varieties and their low cost micro...ILRI
1) The document evaluates stress resistant sweet potato varieties and their low-cost micropropagation in Ethiopia. Variety trials identified 6 varieties in southern Ethiopia and 4 in eastern Ethiopia that were resistant to drought and sweet potato weevil.
2) Low-cost media was developed for micropropagation using locally available materials like cassava flour, starch, and table sugar. The substituted media reduced costs by 59.2% while still supporting good plant growth.
3) The identified resistant varieties and low-cost micropropagation techniques show promise for improving sweet potato production and availability in Ethiopia. Further testing of micropropagated plants and releasing top varieties is recommended.
1) A study was conducted to reverse engineer an oral suspension containing a poorly water soluble drug to match the dissolution profile of the reference listed drug (RLD) using quality by design principles.
2) Two multivariate design of experiments (DoEs) were used, along with live in-situ dissolution monitoring using fiber optic probes, to identify formulation factors influencing dissolution and reduce development time.
3) The approach resulted in a new formulation matching the RLD dissolution profile within 72 hours, much faster than traditional methods requiring costly and time-consuming HPLC analysis.
ARGOMARINE Final Conference - NTUA Presentation - Vassilia Karathanassi, Pol ...ARGOMARINE
This document discusses remote sensing technologies for monitoring oil spills in the Mediterranean Sea. It summarizes that hyperspectral and multispectral imagery can be used to detect oil spills, estimate their thickness and type. Laboratory and in situ measurements are needed to create an extensive spectral library to accurately analyze oil spills remotely. The document also presents a case study where a natural oil seep was discovered in the Mediterranean using historical Landsat images and RapidEye satellite data.
Nutrient Leaching and Groundwater Quality Assessment near Integrated Construc...Mawuli Dzakpasu
The document summarizes a study assessing nutrient leaching and groundwater quality near an integrated constructed wetland treating domestic wastewater. Key findings include:
1) The constructed wetland was very effective at removing nutrients like ammonia, nitrates, and phosphates from wastewater, achieving over 80% removal on average.
2) Leachate from the wetland cells contained high levels of ammonia but generally low levels of nitrates and phosphates.
3) Low infiltration rates from the wetland may not immediately threaten groundwater quality.
4) Groundwater nutrient levels were generally low except near sites with peat in the soil, which saw slightly elevated ammonia levels.
This study examined the effects of synthetic nitrogen fertilizers on soil microbial biodiversity. Granular urea and knifed anhydrous ammonia were applied to corn fields, and a control with no fertilizer was also studied. Soil samples were taken 24 hours after planting and again in July and September. A BIOLOG assay was used to measure microbial enzymatic activity as a proxy for biodiversity. The results showed some differences in enzymatic activity between fertilizer treatments over time, but no consistent or statistically significant impacts of the synthetic nitrogen fertilizers on soil microbial biodiversity compared to the control.
The document summarizes a study that analyzed various biological techniques, including phospholipid fatty acid (PLFA) analysis and Biolog substrate utilization profiles, to assess the impact of acid rock drainage (ARD) on microbial communities in sediments and waters of an Australian river system affected by a pyrite mine. Redundancy analysis of the PLFA and Biolog data identified pH as the main factor influencing microbial community composition. Sites impacted by ARD, salinity, and eutrophication could be separated based on multivariate analysis of the biological data and water quality parameters.
Closing the gap – linking collection data to applied researchKlaus Riede
This document discusses linking biodiversity collection data to applied research through data mining. It outlines a process to: 1) Identify relationships between plant and insect groups using secondary compound data; 2) Map the distributions of host plants and herbivorous insects; and 3) Compare distributions using visualization and statistics. The document also addresses challenges like incomplete taxonomic knowledge and lack of geo-referenced specimens that limit data integration and application. Developing open data standards and integrating museum, monitoring and environmental datasets can help overcome these challenges.
The study examined the effects of different levels of nitrogen (N), phosphorus (P), and potassium (K) in irrigation solutions on olive oil composition of 'Barnea' olive trees. Fruits were harvested at an appropriate ripeness index and oil was extracted. Oil quality indices including acidity, polyphenols, and fatty acid profile were analyzed. Results showed that N and P levels significantly influenced oil composition, decreasing monounsaturated fatty acids and polyphenols while increasing polyunsaturated fatty acids, suggesting decreased stability. Potassium had a minor effect. The study highlights risks of over-fertilization with N and P for olive oil quality.
1. The document discusses two complimentary methods, DNA-based DGGE and lipid biomarker analysis, for assessing soil microbial communities.
2. It provides examples of how these methods have been used to study microbial community structure and diversity across different soil environments and conditions.
3. Specifically, it summarizes two studies that used these methods: one found evidence of "microbial diversity patchiness" correlated with vegetation in Negev desert soils, while the other found bacterial community succession along a desert rainfall gradient.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
This document summarizes research on a rain garden monitoring project in Connecticut from 2002-2005. Three key findings are:
1) The rain garden retained 99% of inflowing water and significantly reduced nitrogen, with 67% reduction in nitrate and 82% reduction in ammonia.
2) Modifications to add a saturated zone improved nitrate removal from 19% to 56% of outflow samples below detection limits.
3) The rain garden continued to effectively treat stormwater over winter, with frost depths not impacting annual performance.
This document describes a study that used near infrared (NIR) spectroscopy to develop calibrations to estimate wood properties (density, modulus of elasticity (MOE), and modulus of rupture (MOR)) of multiple pine species. Samples from 8 pine species growing in Brazil were collected and tested for wood properties. NIR spectra were collected on the radial and transverse faces. Calibrations using NIR spectra provided reasonably strong estimations of density, MOE, and MOR across all pine species. Transverse face spectra produced slightly better calibrations than radial face spectra. The lab-based FOSS static spectrometer produced the strongest calibrations overall.
2017 - Comparison of nitrifying microbial communities of two full-scale membr...WALEBUBLÉ
Barbarroja, P., Moreno-Mesonero, L., Zornoza, A., Fernández-Navarro, J., Alonso, J.L., Muñagorri, F., García, C., Álvarez, C. (2017) Comparison of nitrifying microbial communities of two full-scale membrane bioreactors treating wastewaters from municipal solid wastes using 16S rDNA gene amplicon sequencing. 7th congress of European microbiologists FEMS 2017, Valencia, Spain, 9-13 July 2017.
The document discusses fertilizer analysis conducted at a laboratory. Various methods are used to analyze the nutrient content of fertilizer samples, including elemental analysis, particle size analysis, moisture content testing, and inductively coupled plasma analysis. The laboratory aims to ensure fertilizers meet specified nutrient levels to effectively support plant growth and development.
EPA Method 200.7, Trace Elements in Water, Solids, and Biosolids by Inductively Coupled Plasma-Atomic Emission Spectrometry, describes the procedure and requirements for multi-element determinations by ICP-AES. This presentation demonstrates the capability of the ICPE-9820, with the ASC-9800 Auto-sampler and the Standard Addition Kit, to produce quick, accurate results that comply with the method.
This document summarizes research on identifying genetic loci associated with resistance to stripe and stem rust in wheat. Genome-wide association mapping identified several QTLs for stripe rust resistance on chromosomes 1D, 2B, 3B, 3A, 6A, 6D and 7D. Some QTLs corresponded to previously reported resistance genes. Analysis of interactions between loci found negative interactions between some stripe and stem rust QTLs, suggesting they should not be combined in breeding. The goal is to avoid pyramiding loci that interact negatively to compromise resistance to multiple diseases.
The document thanks supervisors for their support of a study assessing natural radioactivity around fertilizer plants in Egypt. It aims to detect radionuclides in waste from a fertilizer factory, determine concentration levels, and estimate radiological impact. Soil samples were collected and analyzed using gamma spectrometry and X-ray diffraction. Concentrations of uranium, radium, thorium and potassium were measured. Results found elevated levels of radioactivity compared to worldwide averages, requiring monitoring of public exposure.
Proceedings available at: http://www.extension.org/67602
Silage leachate is a high strength waste which contributes to surface and groundwater contamination of various pollutants from runoff, direct leaching through concrete storage structures, and infiltration of runoff. Feed storage is required for the majority of dairy operations in the country (which are expanding in size and fed storage requirements) leading to widespread potential contamination. Limited data on silage leachate quality and treatment has made management and regulation based solely on observation. This project investigated three bunker silage storage sites to assess the water quality characteristics of silage leachate and runoff from various feed sources and surrounding environmental factors. Surface samples were collected from feed storage structures and analyzed for numerous water quality parameters. Using collected hydrologic data, contaminant loading was analyzed for various storm events and assessed for first flush effects and potential to impact handling and treatment designs. Determination of first flush provides essential data for separation of waste streams (high and low strength) to ease management in terms of operation and cost, reduce loading to treatment systems, and reducing the overall environmental impact.
This monthly report summarizes Nuttapon Khongdee's work on analyzing heavy metal content, pH, EC, and organic carbon levels in different soil types before planting. Soil samples were tested for pH, EC, and organic carbon using calibrated instruments and standard procedures. Results are displayed in tables showing mean and standard deviation values for each soil type and treatment. The report also discusses initial work on characterizing citral oil nanoemulsions, including how formulation components like HLB value, homogenization speed, and oil/surfactant ratio influence particle size and stability over time. Future work is planned to analyze the nanoemulsions' antibacterial and antifungal activities.
Here, it is a brief presentation regarding nanofertilizer, in relation to its role in enhancing the use efficiency of concerned nutrient, along with some experimrntal findings. Thank you for ur kind consideration.
use of DNA markers to select plants/animals with desirable traits,Phenotypic assessment and QTL analysis of herbage and seed production traits in perennial ryegrass
This study examined the effects of synthetic nitrogen fertilizers on soil microbial biodiversity. Granular urea and knifed anhydrous ammonia were applied to corn fields, and a control with no fertilizer was also studied. Soil samples were taken 24 hours after planting and again in July and September. A BIOLOG assay was used to measure microbial enzymatic activity as a proxy for biodiversity. The results showed some differences in enzymatic activity between fertilizer treatments over time, but no consistent or statistically significant impacts of the synthetic nitrogen fertilizers on soil microbial biodiversity compared to the control.
The document summarizes a study that analyzed various biological techniques, including phospholipid fatty acid (PLFA) analysis and Biolog substrate utilization profiles, to assess the impact of acid rock drainage (ARD) on microbial communities in sediments and waters of an Australian river system affected by a pyrite mine. Redundancy analysis of the PLFA and Biolog data identified pH as the main factor influencing microbial community composition. Sites impacted by ARD, salinity, and eutrophication could be separated based on multivariate analysis of the biological data and water quality parameters.
Closing the gap – linking collection data to applied researchKlaus Riede
This document discusses linking biodiversity collection data to applied research through data mining. It outlines a process to: 1) Identify relationships between plant and insect groups using secondary compound data; 2) Map the distributions of host plants and herbivorous insects; and 3) Compare distributions using visualization and statistics. The document also addresses challenges like incomplete taxonomic knowledge and lack of geo-referenced specimens that limit data integration and application. Developing open data standards and integrating museum, monitoring and environmental datasets can help overcome these challenges.
The study examined the effects of different levels of nitrogen (N), phosphorus (P), and potassium (K) in irrigation solutions on olive oil composition of 'Barnea' olive trees. Fruits were harvested at an appropriate ripeness index and oil was extracted. Oil quality indices including acidity, polyphenols, and fatty acid profile were analyzed. Results showed that N and P levels significantly influenced oil composition, decreasing monounsaturated fatty acids and polyphenols while increasing polyunsaturated fatty acids, suggesting decreased stability. Potassium had a minor effect. The study highlights risks of over-fertilization with N and P for olive oil quality.
1. The document discusses two complimentary methods, DNA-based DGGE and lipid biomarker analysis, for assessing soil microbial communities.
2. It provides examples of how these methods have been used to study microbial community structure and diversity across different soil environments and conditions.
3. Specifically, it summarizes two studies that used these methods: one found evidence of "microbial diversity patchiness" correlated with vegetation in Negev desert soils, while the other found bacterial community succession along a desert rainfall gradient.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
This document summarizes research on a rain garden monitoring project in Connecticut from 2002-2005. Three key findings are:
1) The rain garden retained 99% of inflowing water and significantly reduced nitrogen, with 67% reduction in nitrate and 82% reduction in ammonia.
2) Modifications to add a saturated zone improved nitrate removal from 19% to 56% of outflow samples below detection limits.
3) The rain garden continued to effectively treat stormwater over winter, with frost depths not impacting annual performance.
This document describes a study that used near infrared (NIR) spectroscopy to develop calibrations to estimate wood properties (density, modulus of elasticity (MOE), and modulus of rupture (MOR)) of multiple pine species. Samples from 8 pine species growing in Brazil were collected and tested for wood properties. NIR spectra were collected on the radial and transverse faces. Calibrations using NIR spectra provided reasonably strong estimations of density, MOE, and MOR across all pine species. Transverse face spectra produced slightly better calibrations than radial face spectra. The lab-based FOSS static spectrometer produced the strongest calibrations overall.
2017 - Comparison of nitrifying microbial communities of two full-scale membr...WALEBUBLÉ
Barbarroja, P., Moreno-Mesonero, L., Zornoza, A., Fernández-Navarro, J., Alonso, J.L., Muñagorri, F., García, C., Álvarez, C. (2017) Comparison of nitrifying microbial communities of two full-scale membrane bioreactors treating wastewaters from municipal solid wastes using 16S rDNA gene amplicon sequencing. 7th congress of European microbiologists FEMS 2017, Valencia, Spain, 9-13 July 2017.
The document discusses fertilizer analysis conducted at a laboratory. Various methods are used to analyze the nutrient content of fertilizer samples, including elemental analysis, particle size analysis, moisture content testing, and inductively coupled plasma analysis. The laboratory aims to ensure fertilizers meet specified nutrient levels to effectively support plant growth and development.
EPA Method 200.7, Trace Elements in Water, Solids, and Biosolids by Inductively Coupled Plasma-Atomic Emission Spectrometry, describes the procedure and requirements for multi-element determinations by ICP-AES. This presentation demonstrates the capability of the ICPE-9820, with the ASC-9800 Auto-sampler and the Standard Addition Kit, to produce quick, accurate results that comply with the method.
This document summarizes research on identifying genetic loci associated with resistance to stripe and stem rust in wheat. Genome-wide association mapping identified several QTLs for stripe rust resistance on chromosomes 1D, 2B, 3B, 3A, 6A, 6D and 7D. Some QTLs corresponded to previously reported resistance genes. Analysis of interactions between loci found negative interactions between some stripe and stem rust QTLs, suggesting they should not be combined in breeding. The goal is to avoid pyramiding loci that interact negatively to compromise resistance to multiple diseases.
The document thanks supervisors for their support of a study assessing natural radioactivity around fertilizer plants in Egypt. It aims to detect radionuclides in waste from a fertilizer factory, determine concentration levels, and estimate radiological impact. Soil samples were collected and analyzed using gamma spectrometry and X-ray diffraction. Concentrations of uranium, radium, thorium and potassium were measured. Results found elevated levels of radioactivity compared to worldwide averages, requiring monitoring of public exposure.
Proceedings available at: http://www.extension.org/67602
Silage leachate is a high strength waste which contributes to surface and groundwater contamination of various pollutants from runoff, direct leaching through concrete storage structures, and infiltration of runoff. Feed storage is required for the majority of dairy operations in the country (which are expanding in size and fed storage requirements) leading to widespread potential contamination. Limited data on silage leachate quality and treatment has made management and regulation based solely on observation. This project investigated three bunker silage storage sites to assess the water quality characteristics of silage leachate and runoff from various feed sources and surrounding environmental factors. Surface samples were collected from feed storage structures and analyzed for numerous water quality parameters. Using collected hydrologic data, contaminant loading was analyzed for various storm events and assessed for first flush effects and potential to impact handling and treatment designs. Determination of first flush provides essential data for separation of waste streams (high and low strength) to ease management in terms of operation and cost, reduce loading to treatment systems, and reducing the overall environmental impact.
This monthly report summarizes Nuttapon Khongdee's work on analyzing heavy metal content, pH, EC, and organic carbon levels in different soil types before planting. Soil samples were tested for pH, EC, and organic carbon using calibrated instruments and standard procedures. Results are displayed in tables showing mean and standard deviation values for each soil type and treatment. The report also discusses initial work on characterizing citral oil nanoemulsions, including how formulation components like HLB value, homogenization speed, and oil/surfactant ratio influence particle size and stability over time. Future work is planned to analyze the nanoemulsions' antibacterial and antifungal activities.
Here, it is a brief presentation regarding nanofertilizer, in relation to its role in enhancing the use efficiency of concerned nutrient, along with some experimrntal findings. Thank you for ur kind consideration.
use of DNA markers to select plants/animals with desirable traits,Phenotypic assessment and QTL analysis of herbage and seed production traits in perennial ryegrass
This document discusses using NMR liquid relaxation measurements to characterize cellulose nanomaterials (CNMs). It describes how NMR can be used to measure key CNM properties like surface area, morphology, and surface chemistry. NMR provides advantages over other techniques as it requires small sample sizes, has short measurement times, and allows non-destructive analysis of suspensions without sample preparation. The document demonstrates NMR relaxation measurements on various CNM samples and shows it can distinguish differences in properties from sample preparation methods or surface modifications. It also discusses how NMR relaxation can enable process monitoring during CNM production.
Poster29: Improving the sustainability of cassava-based cropping systems for ...CIAT
This document summarizes research on improving the sustainability of cassava-based cropping systems for smallholder farmers in Laos. The research found that:
1) Balanced fertilizer applications of phosphorus and potassium led to significantly higher cassava yields, while nitrogen had little effect.
2) Simple contour hedgerows of Tephrosia candida and Paspalum atratum grass were highly effective at reducing soil erosion compared to other hedgerow species tested.
3) The research aimed to identify low-cost fertilization practices and soil erosion control methods suitable for resource-limited smallholder farmers growing cassava in sloping upland areas of Laos.
Solanaceae comparative genomics prl lunchtime seminar 2009Brett Whitty
The document discusses genomic resources for the Solanaceae plant family. It describes sequencing and assembly efforts for several species including tomato, potato, tobacco, and pepper. It also details the development of databases containing Solanaceae sequence data, gene models, transcripts, and other genomic annotations. Comparative analyses were performed aligning Solanaceae data to model plant genomes like Arabidopsis, grape, and poplar. Putative lineage-specific transcripts without hits to other plants were also identified.
The effects of minimum and conventional tillage systems on maize grain yield ...Joanna Hicks
The document evaluates the effects of minimum tillage (MT) and conventional tillage (CT) systems on maize yield and soil fertility in western Ethiopia over 5 years. MT with residue retention (MTRR) increased average maize yields by 6.6% compared to MT with residue removal (MTRV) and 12.2% compared to CT. MTRR also increased yields more during drought years. MTRR improved soil organic carbon, nitrogen, phosphorus and potassium levels compared to MTRV and CT. The recommended nitrogen fertilizer rate of 92 kg/ha was appropriate for all tillage systems.
This document contains a book of data for chemistry teachers, compiled by the National Institute of Education in Sri Lanka to provide material for lesson preparation, planning exercises and assignments, and creating visual aids. It includes over 40 sections with data on topics like relative atomic masses, atomic spectra, physical properties of elements, standard enthalpies, dissociation constants, and composition of common substances. The director of the National Institute of Education introduces the book, noting it will help contribute to better chemistry teaching and learning in Sri Lanka.
Similar to Plant patchiness effect on microbial community (20)
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
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Plant patchiness effect on microbial community
1. Title: Effect of plant patchiness on soil microbial
community structure
Authors: A. Nejidat, E. Ben-David, Y. Sher, R. Golden, E. Zaady and Z. Ronen
Department of Environmental Hydrology and Microbiology, Zukerberg Institute for
Water Research, Blaunstein Institutes for Desert Research, Ben-Gurion University of
the Negev, Sede Boqer
Drylands, Deserts and Desertification-14.12.2008, Sede Boqer
1
2. Aim: to examine the effect of plant and plant type on bulk soil
microbial community structure and activity in patchy desert
landscape
2
3. Research locations
Long Term Ecological Research Sites
Sayeret Shaked
• Northern Negev
• Semiarid grassland
• Long term average rainfall - 200 mm
Avdat
• Central Negev
• Arid land
• Long term average rainfall - 90 mm
3
6. Methods
- Phospholipids fatty acid (PLFA) analysis (major
microbial groups)
- Denaturing gradient gel electrophoresis (DGGE)
of phylogenetic DNA markers (species diversity)
and Real Time PCR for gene copy quantification
6
8. Results
Selected soil chemical parameters in Avdat and Shaked sampling sites.
Samples pH EC RWC OM TAN NO2--N NO3--N
μScm-1 (%) (%) mg/kg
mg/kg mg/kg
Zd 8.03 2130 7.05 2.38 9.67 0.97 46.17
Hs 8.40 1958 4.98 2.60 7.47 0.19 51.04
ISPA 8.41 748 5.28 1.68 6.50 0.01 25.68
Nm 8.27 287 4.33 2..28 6.14 0.05 21.31
Th 8.11 232 5.23 2.30 6.97 0.24 22.04
ISPS 8.39 174 4.35 1.07 4.79 0.01 18.60
ANOVA Statistics
Avdat vs. Shaked ns <0.001 ns ns <0.05 ns <0.01
SUCA vs. SUCB ns <0.001 ns ns <0.1 ns <0.01
SUCA vs. BSCA ns <0.1 ns <0.1 ns ns <0.05
SUCS vs. BSCS <0.05 <0.005 ns <0.01 <0.05 ns Ns
BSCA vs. BSCS ns <0.1 ns <0.1 <0.05 ns <0.01
Zd vs. Hs, BSCA <0.05 - - - - - -
Average values and standard deviation are indicated (n=3). Significant difference between groups of
replicates/samples was tested using one-way ANOVA followed by Tukey’s multiple comparison test; p value is
indicated; ns, not significant. SUCA, soil under canopy from Avdat; SUCB, soil under canopy from Shaked; BSCA,
biological soil crust from Avdat; BSCB, biological soil crust from Shaked.
8
9. (a) (b)
(a) PCA ordination of the PLFA relative abundance data (mol %) for all of Avdat
sampling sites
(b) PCA ordination of the PLFA relative abundance data (mol %) for all of
Shaked sampling sites
9
10. a b
(a) Redundancy ordination (RDA) triplot of sites, PLFA relative abundance (mol %)
and soil quality variables for all of Avdat sampling sites (based on first two axes).
(b) RDA triplot of sites, PLFA relative abundance (mol %) and soil quality variables
for10 of Shaked sampling sites (based on first two axes)
all
11. RDA triplot of sites, PLFA relative abundance (mol %) and soil quality variables for
all of Shaked and Avdat ISP replicates.
11
12. Summary: Part I
Based on the PCA of the PLFA profile and PLFA biomarkers with structural
group interpretation the results suggest:
• A shift in soil microbial community structure from underneath plants
compared with soils between plants.
• Plant primarily influences the character of surrounding microbial
community and plant type may produce a secondary influence.
• Location (Avdat vs Shaked) have significant effect on the microbial
community in the intershrub spaces; possibly through climatic differences
or indirect effect of plant types
12
13. • Dominance of Gram-negative populations
• Higher proportions of Gram-positive populations in SUC samples compared
with ISP samples
• Higher proportions of fungi, cyanobacteria and anaerobes in ISP samples
compared with SUC samples
• RDAs suggest that nitrate was a major determinant segregating the PLFA
profiles of the intershrub spaces from the SUC.
• Nitrate is also a major factor together with organic matter in segregating the
intershrub spaces of Avdat and Shaked
13
19. Numbers vs Activity
500
Ammonia Oxidation Potential
y = 86.028x + 250.71
R2 = 0.5302
390
μg-N/Kg/h
280
170
0 0.5 1 1.5 2 2.5
% Bacterial amoA copies
of total amoA copies
19
20. Conclusions
• Plant presence and plant type affect soil
microbial community structure and activity.
• The impact on nutrients transformations
may affect soil fertility.
• It is suggested to consider these aspects
when introducing plants for combating
desertification
20