The New York Power Authority (NYPA) commits over $800 million annually to minority- and women-owned businesses through its Supplier Diversity Program. The program offers purchasing opportunities to diverse suppliers to improve NYPA's services. Shirley Marine is a human resources business partner at NYPA who advises on performance management, organizational design, and leadership development. With over 20 years of HR experience, she helps NYPA adapt its diverse workforce to changes in the energy industry to meet customer needs long-term.
Theresa Fravel is seeking an office position utilizing her strong front desk, clerical, and customer service skills. She has over 15 years of experience in roles like Customer Service Representative, Receptionist, and Librarian where she answered phones, greeted customers, data entry, filing, and administrative tasks. Previously, she owned and managed a successful real estate company for 20 years before retiring. She has licenses in real estate sales and brokerage and education from Onondaga Community College and The Professional Career Center.
The document appears to be a scanned receipt from a restaurant for a meal totaling $46.23. It lists the items ordered including drinks, appetizers, entrees and dessert. It also includes the date, time, payment method and signature of the server.
This document proposes a project to develop a semi-automatic text mining system to extract and analyze information from digital documents. The project aims to 1) leverage progress in fields like natural language processing and machine learning, 2) account for document structure like XML, and 3) go beyond information extraction to deduce new knowledge. The project would use annual business reports and analyst reports in specific industries as a test case to identify trends, compare companies, and verify techniques. Successful results could help European businesses make more informed decisions and stay competitive. The project consortium includes researchers from universities and companies with expertise in knowledge acquisition, computational linguistics, machine learning, and information retrieval to contribute to different work packages.
This document analyzes the potential for woody biomass from southeastern US forests to meet renewable electricity demand under current and future climate change scenarios. It finds that biomass can only meet 19% of a proposed 15% renewable electricity standard currently due to population pressures and climate impacts. Factoring in unused pulpwood capacity increases the contribution to 27%. Projections for North Carolina indicate biomass could meet 8-17% of demand under climate change. While biomass can be part of the solution, policymakers will need a diversified portfolio to fully meet renewable targets.
The New York Power Authority (NYPA) commits over $800 million annually to minority- and women-owned businesses through its Supplier Diversity Program. The program offers purchasing opportunities to diverse suppliers to improve NYPA's services. Shirley Marine is a human resources business partner at NYPA who advises on performance management, organizational design, and leadership development. With over 20 years of HR experience, she helps NYPA adapt its diverse workforce to changes in the energy industry to meet customer needs long-term.
Theresa Fravel is seeking an office position utilizing her strong front desk, clerical, and customer service skills. She has over 15 years of experience in roles like Customer Service Representative, Receptionist, and Librarian where she answered phones, greeted customers, data entry, filing, and administrative tasks. Previously, she owned and managed a successful real estate company for 20 years before retiring. She has licenses in real estate sales and brokerage and education from Onondaga Community College and The Professional Career Center.
The document appears to be a scanned receipt from a restaurant for a meal totaling $46.23. It lists the items ordered including drinks, appetizers, entrees and dessert. It also includes the date, time, payment method and signature of the server.
This document proposes a project to develop a semi-automatic text mining system to extract and analyze information from digital documents. The project aims to 1) leverage progress in fields like natural language processing and machine learning, 2) account for document structure like XML, and 3) go beyond information extraction to deduce new knowledge. The project would use annual business reports and analyst reports in specific industries as a test case to identify trends, compare companies, and verify techniques. Successful results could help European businesses make more informed decisions and stay competitive. The project consortium includes researchers from universities and companies with expertise in knowledge acquisition, computational linguistics, machine learning, and information retrieval to contribute to different work packages.
This document analyzes the potential for woody biomass from southeastern US forests to meet renewable electricity demand under current and future climate change scenarios. It finds that biomass can only meet 19% of a proposed 15% renewable electricity standard currently due to population pressures and climate impacts. Factoring in unused pulpwood capacity increases the contribution to 27%. Projections for North Carolina indicate biomass could meet 8-17% of demand under climate change. While biomass can be part of the solution, policymakers will need a diversified portfolio to fully meet renewable targets.
The document discusses a comprehensive planning process called The Business Owner Model that helps business owners address personal financial goals by leveraging their business. It provides strategies to help with family conflicts, tax reduction, business succession, and transferring the business to the next generation. The process evaluates a business owner's current situation and develops a logical plan to help them make informed decisions about their financial future.
An Approach to Software Testing of Machine Learning Applicationsbutest
This document describes an approach to software testing of machine learning applications. The approach involves analyzing the problem domain, algorithm, and implementation options to generate test cases. Two case studies applying this approach found bugs in implementations of MartiRank and SVM ranking algorithms. Analyzing the problem domain uncovered issues like how to handle missing/negative values. Analyzing algorithms revealed potential specification imprecisions. Analyzing options showed how inputs could be manipulated. The approach helped find bugs, create regression test cases, and validate implementations by comparing results across different versions and ML algorithms.
Divya Sree Kasiraj has over 6 years of experience in the IT industry providing technical support for solutions like Citrix and Windows platforms. She has expertise in areas like Windows server management, installation and configuration of servers, Citrix administration, and following ITIL processes. She is currently working as a team lead at TechMahindra providing support for Windows, Citrix and VMware servers for Scotia Bank in Canada.
A empresa de tecnologia anunciou um novo smartphone com câmera aprimorada, maior tela e bateria de longa duração. O dispositivo também possui processador mais rápido e armazenamento expansível. O novo modelo será lançado em outubro por um preço inicial de US$799.
The document discusses a comprehensive planning process called The Business Owner Model that helps business owners address personal financial goals by leveraging their business. It provides strategies to help with family conflicts, tax reduction, business succession, and transferring the business to the next generation. The process evaluates a business owner's current situation and develops a logical plan to help them make informed decisions about their financial future.
An Approach to Software Testing of Machine Learning Applicationsbutest
This document describes an approach to software testing of machine learning applications. The approach involves analyzing the problem domain, algorithm, and implementation options to generate test cases. Two case studies applying this approach found bugs in implementations of MartiRank and SVM ranking algorithms. Analyzing the problem domain uncovered issues like how to handle missing/negative values. Analyzing algorithms revealed potential specification imprecisions. Analyzing options showed how inputs could be manipulated. The approach helped find bugs, create regression test cases, and validate implementations by comparing results across different versions and ML algorithms.
Divya Sree Kasiraj has over 6 years of experience in the IT industry providing technical support for solutions like Citrix and Windows platforms. She has expertise in areas like Windows server management, installation and configuration of servers, Citrix administration, and following ITIL processes. She is currently working as a team lead at TechMahindra providing support for Windows, Citrix and VMware servers for Scotia Bank in Canada.
A empresa de tecnologia anunciou um novo smartphone com câmera aprimorada, maior tela e bateria de longa duração. O dispositivo também possui processador mais rápido e armazenamento expansível. O novo modelo será lançado em outubro por um preço inicial de US$799.