Field experiments were conducted at the University of Ilorin Teaching and Research Farm in 2005 and
2006 cropping seasons with the objective to evaluate the combining ability for maize grain yield and
other agronomic characters in 10 open pollinated maize varieties, which have been selected for high
yield and stress tolerance. General combining ability (gca) and year (y) effects were significant for all
the parameters except plant height, while specific combining ability (sca) and gca x year effects were
significant only for grain yield. However, Tze Comp4 Dmr Srbc2, Tze Comp4 C2 and Acr 94 Tze Comp5
which are good general combiners for maize grain yield, also showed positive significant gca x year
effects for flowering traits. Significant sca x year interaction effects were recorded for maize grain yield
and days to flowering, with Hei 97 Tze Comp3 C4 combining very well with 3 parents (Acr 90 Pool 16-Dt,
Tze Comp4-Dmr Srbc2 and Tze Comp4 C2). These parents and their hybrids probably have genes that
can be introgressed into other promising lines in developing early maturing and high yielding varieties
for cultivation in the Nigeria savannas.
En esta presentación les expongo mi punto de vista, y mi top 3 de sagas cinematográficas y lo que posiblemente se vendrá en esos mundos fantasiosos que nos gustan a todos
The document introduces the University of Wisconsin-Madison's Engineering Professional Development program and its online Master's in Applied Computing and Engineering Data Analytics. It outlines EPD's expertise in online engineering education, the benefits of UW's approach including practical learning and interaction, and details of the Applied Computing master's program including its focus on data analytics skills, typical courses, and application process.
Génération de leads bto b 5 erreurs à éviterSquare37
Dans le secteur du BtoB (Business to Business), il est primordiale d'alimenter la force commerciale de nouveaux prospects (=leads). Il existe de nombreux canaux de collecte qu'ils soient physique ou en ligne - payant ou naturel.
J'ai choisi de partager avec vous mon expérience des campagnes (payantes) de génération de leads BtoB en ligne et, notamment des pièges à éviter si l'on souhaite obtenir des leads de qualité.
General Dynamics is an aerospace and defense company that offers a wide range of products and services. It has four main business divisions: Aerospace, Combat Systems, Marine Systems, and Information Technology. Since acquiring Gulfstream Aerospace in 1995, General Dynamics has acquired over 65 other companies to diversify. Its largest revenue generator is the Information Technology division, which provides secure communication systems and IT solutions to both government and commercial customers. Major programs include communication networks for the U.S. Army and radios for air traffic control. With a large backlog of government orders and expansion into new areas, General Dynamics is well-positioned for continued growth.
Field experiments were conducted at the University of Ilorin Teaching and Research Farm in 2005 and
2006 cropping seasons with the objective to evaluate the combining ability for maize grain yield and
other agronomic characters in 10 open pollinated maize varieties, which have been selected for high
yield and stress tolerance. General combining ability (gca) and year (y) effects were significant for all
the parameters except plant height, while specific combining ability (sca) and gca x year effects were
significant only for grain yield. However, Tze Comp4 Dmr Srbc2, Tze Comp4 C2 and Acr 94 Tze Comp5
which are good general combiners for maize grain yield, also showed positive significant gca x year
effects for flowering traits. Significant sca x year interaction effects were recorded for maize grain yield
and days to flowering, with Hei 97 Tze Comp3 C4 combining very well with 3 parents (Acr 90 Pool 16-Dt,
Tze Comp4-Dmr Srbc2 and Tze Comp4 C2). These parents and their hybrids probably have genes that
can be introgressed into other promising lines in developing early maturing and high yielding varieties
for cultivation in the Nigeria savannas.
En esta presentación les expongo mi punto de vista, y mi top 3 de sagas cinematográficas y lo que posiblemente se vendrá en esos mundos fantasiosos que nos gustan a todos
The document introduces the University of Wisconsin-Madison's Engineering Professional Development program and its online Master's in Applied Computing and Engineering Data Analytics. It outlines EPD's expertise in online engineering education, the benefits of UW's approach including practical learning and interaction, and details of the Applied Computing master's program including its focus on data analytics skills, typical courses, and application process.
Génération de leads bto b 5 erreurs à éviterSquare37
Dans le secteur du BtoB (Business to Business), il est primordiale d'alimenter la force commerciale de nouveaux prospects (=leads). Il existe de nombreux canaux de collecte qu'ils soient physique ou en ligne - payant ou naturel.
J'ai choisi de partager avec vous mon expérience des campagnes (payantes) de génération de leads BtoB en ligne et, notamment des pièges à éviter si l'on souhaite obtenir des leads de qualité.
General Dynamics is an aerospace and defense company that offers a wide range of products and services. It has four main business divisions: Aerospace, Combat Systems, Marine Systems, and Information Technology. Since acquiring Gulfstream Aerospace in 1995, General Dynamics has acquired over 65 other companies to diversify. Its largest revenue generator is the Information Technology division, which provides secure communication systems and IT solutions to both government and commercial customers. Major programs include communication networks for the U.S. Army and radios for air traffic control. With a large backlog of government orders and expansion into new areas, General Dynamics is well-positioned for continued growth.
This document discusses the requirements for life and the organ systems that work together to maintain life. It outlines the necessary life functions including maintaining boundaries, movement, responsiveness, digestion, metabolism, excretion, reproduction and growth. It then describes each of the 11 organ systems and their major functions in maintaining homeostasis. The organ systems work interdependently to provide nutrients and oxygen to cells while removing wastes. Survival also requires appropriate amounts of nutrients, oxygen, water, temperature and pressure.
This curriculum vitae is for Bucur Alexandru, a Romanian civil engineer student seeking an internship. He graduated from high school in 2012 and has been studying civil engineering at the Technical University of Civil Engineering in Bucharest since 2012. His areas of study include analysis, mechanics, chemistry, materials science, differential equations, surveying, computer aided drawing, reinforced concrete, hydraulics, architecture, soil mechanics, finite element method, steel, foundations, transportation, management, and construction engineering. He is proficient in English and has basic skills in German. His personal skills include teamwork, communication, organization, and digital literacy in programs like AutoCAD, Etabs, Ftool, Mathcad, Excel, PowerPoint,
[NL] Mindscope / Beleggen in converteerbare obligaties in een klimaat van lag...NN Investment Partners
Diepgaande inzichten in onderwerpen die van invloed zijn op de wereldeconomie
NN Investment Partners verkent het gebruik van converteerbare obligaties in het asset allocatieproces.
This document provides information about executive education programmes offered by London Business School. It begins with an introduction to London Business School and its executive education division. The bulk of the document then summarizes various leadership, strategy, human resources, marketing, and finance programmes aimed at professionals at different stages of their careers. Each programme listing provides details on programme focus, benefits, and features. The document concludes with information on rewarding careers, empowering organizations through learning, and the 2016 calendar and fees for executive education programmes.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
This document discusses the requirements for life and the organ systems that work together to maintain life. It outlines the necessary life functions including maintaining boundaries, movement, responsiveness, digestion, metabolism, excretion, reproduction and growth. It then describes each of the 11 organ systems and their major functions in maintaining homeostasis. The organ systems work interdependently to provide nutrients and oxygen to cells while removing wastes. Survival also requires appropriate amounts of nutrients, oxygen, water, temperature and pressure.
This curriculum vitae is for Bucur Alexandru, a Romanian civil engineer student seeking an internship. He graduated from high school in 2012 and has been studying civil engineering at the Technical University of Civil Engineering in Bucharest since 2012. His areas of study include analysis, mechanics, chemistry, materials science, differential equations, surveying, computer aided drawing, reinforced concrete, hydraulics, architecture, soil mechanics, finite element method, steel, foundations, transportation, management, and construction engineering. He is proficient in English and has basic skills in German. His personal skills include teamwork, communication, organization, and digital literacy in programs like AutoCAD, Etabs, Ftool, Mathcad, Excel, PowerPoint,
[NL] Mindscope / Beleggen in converteerbare obligaties in een klimaat van lag...NN Investment Partners
Diepgaande inzichten in onderwerpen die van invloed zijn op de wereldeconomie
NN Investment Partners verkent het gebruik van converteerbare obligaties in het asset allocatieproces.
This document provides information about executive education programmes offered by London Business School. It begins with an introduction to London Business School and its executive education division. The bulk of the document then summarizes various leadership, strategy, human resources, marketing, and finance programmes aimed at professionals at different stages of their careers. Each programme listing provides details on programme focus, benefits, and features. The document concludes with information on rewarding careers, empowering organizations through learning, and the 2016 calendar and fees for executive education programmes.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.