The Experts below are selected from a list of 50079 Experts worldwide ranked by ideXlab platform
University Of Maine Student Government Inc. - One of the best experts on this subject based on the ideXlab platform.
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Job Description : Director of Communications
DigitalCommons@UMaine, 2021Co-Authors: University Of Maine Student Government Inc.Abstract:Job Description for a one-year appointment to the position of Director of Communications for University of Maine Student Government, Inc. Includes list of required tasks and base pay rate
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Job Description : Vice President for Student Entertainment
DigitalCommons@UMaine, 2021Co-Authors: University Of Maine Student Government Inc.Abstract:Job Description for a one-year appointment to the position of Vice President for Student Entertainment for University of Maine Student Government, Inc. Includes list of required tasks and base pay rate
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Job Description : Vice President for Student Organizations
DigitalCommons@UMaine, 2021Co-Authors: University Of Maine Student Government Inc.Abstract:Job Description for a one-year appointment to the position of Vice President for Student Organizations for University of Maine Student Government, Inc. Includes list of required tasks and base pay rate
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Job Description : Assistant Vice President for Student Entertainment
DigitalCommons@UMaine, 2021Co-Authors: University Of Maine Student Government Inc.Abstract:Job Description for a one-year appointment to the position of Assistant Vice President for Student Entertainment for University of Maine Student Government. Includes list of required tasks and base pay rate
Jinho D Choi - One of the best experts on this subject based on the ideXlab platform.
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competence level prediction and resume Job Description matching using context aware transformer models
Empirical Methods in Natural Language Processing, 2020Co-Authors: Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D ChoiAbstract:This paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improving the selection of suitable candidates. A total of 6,492 resumes are extracted from 24,933 Job applications for 252 positions designated into four levels of experience for Clinical Research Coordinators (CRC). Each resume is manually annotated to its most appropriate CRC position by experts through several rounds of triple annotation to establish guidelines. As a result, a high Kappa score of 61% is achieved for inter-annotator agreement. Given this dataset, novel transformer-based classification models are developed for two tasks: the first task takes a resume and classifies it to a CRC level (T1), and the second task takes both a resume and a Job Description to apply and predicts if the application is suited to the Job (T2). Our best models using section encoding and a multi-head attention decoding give results of 73.3% to T1 and 79.2% to T2. Our analysis shows that the prediction errors are mostly made among adjacent CRC levels, which are hard for even experts to distinguish, implying the practical value of our models in real HR platforms.
Marc A. Morgan - One of the best experts on this subject based on the ideXlab platform.
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an expanding Job Description for blimp 1 prdm1
Current Opinion in Genetics & Development, 2009Co-Authors: Elizabeth K Bikoff, Marc A. MorganAbstract:The master transcriptional regulator Blimp-1/PRDM1 contains an N-terminal PR/SET domain and five C2H2 zinc fingers located near its C-terminus that mediate DNA binding, nuclear import and recruitment of histone modifying enzymes. These activities account for its ability to control cell-fate decisions in the embryo and govern tissue homeostasis in multiple cell types in the adult organism. New experiments demonstrate an increasing degree of complexity associated with Blimp-1/PRDM1 target site selection and its associations with epigenetic modifiers. Our current understanding of how this single unique species within the family of structurally similar PRDM proteins regulates gene expression patterns and governs developmental programmes in different cell lineages is discussed.
Patricia E Connelly - One of the best experts on this subject based on the ideXlab platform.
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innovations in performance assessment a criterion based performance assessment for advanced practice nurses using a synergistic theoretical nursing framework
Nursing administration quarterly, 2011Co-Authors: Raymond Scarpa, Patricia E ConnellyAbstract:PURPOSE: Health care organizations that employ advanced practice nurses are challenged to evaluate practice at this advanced level. Current evaluation methods tend to inter-mingle basic nursing competencies with competencies found in medical practice and organizational objectives that are typically derived from human resources departments. This article describes the development of a criterion-based Job performance assessment for advanced nursing practice using a framework rooted in a nursing theory. METHOD: A needs analysis; review of the literature, adaptation of nursing's Synergy Model, and input from various stakeholders guided the development of a generic Job Description. This Job Description progressed into a criterion-based performance assessment. Construct validity was tested using a questionnaire administered to a convenience sample of 9 practicing advanced practice nurses, 2 nurse executives, 1 PhD nurse educator, and 1 physician. CONCLUSION: Autonomy, Job satisfaction, and quality improvement for advanced practice nurses are fostered by a review process that defines roles and competencies specific to advanced nursing practice. Peer review, a concept contributing to this process is explored as a means to monitor and improve practice.
Elaine Fisher - One of the best experts on this subject based on the ideXlab platform.
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competence level prediction and resume Job Description matching using context aware transformer models
Empirical Methods in Natural Language Processing, 2020Co-Authors: Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D ChoiAbstract:This paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improving the selection of suitable candidates. A total of 6,492 resumes are extracted from 24,933 Job applications for 252 positions designated into four levels of experience for Clinical Research Coordinators (CRC). Each resume is manually annotated to its most appropriate CRC position by experts through several rounds of triple annotation to establish guidelines. As a result, a high Kappa score of 61% is achieved for inter-annotator agreement. Given this dataset, novel transformer-based classification models are developed for two tasks: the first task takes a resume and classifies it to a CRC level (T1), and the second task takes both a resume and a Job Description to apply and predicts if the application is suited to the Job (T2). Our best models using section encoding and a multi-head attention decoding give results of 73.3% to T1 and 79.2% to T2. Our analysis shows that the prediction errors are mostly made among adjacent CRC levels, which are hard for even experts to distinguish, implying the practical value of our models in real HR platforms.
