Aim/Purpose: This paper investigates the changing paradigms for technical skills that are needed by Data Engineers in 2018. Background: A decade ago, data engineers needed technical skills for Relational Database Management Systems (RDBMS), such as Oracle and Microsoft SQL Server. With the advent of Hadoop and NoSQL Databases in recent years, Data Engineers require new skills to support the large distributed datastores (Big Data) that currently exist. Job demand for Data Scientists and Data Engineers has increased over the last five years. Methodology: This research methodology leveraged the Pig programming language that used MapReduce software located on the Amazon Web Services (AWS) Cloud. Data was collected from 100 Indeed.com job advertisements during July of 2017 and then was uploaded to the AWS Cloud. Using MapReduce, phrases/words were counted and then sorted. The sorted phrase / word counts were then leveraged to create the list of the 20 top skills needed by a Data Engineer based on the job advertisements. This list was compared to the 20 top skills for a Data Engineer presented by Stitch that surveyed 6,500 Data Engineers in 2016. Contribution: This paper presents a list of the 20 top technical skills required by a Data Engineer.

Aim/Purpose: This paper explores the implications of machine-mediated communication on human interaction in cross-disciplinary teams. The authors explore the relationships between Open Science Theory, its contributions to team science, and the opportunities and challenges associated with adopting open science principles. Background: Open Science Theory impacts many aspects of human interaction throughout the scholarly life cycle and can be seen in action through various technologies, which each typically touch only one such aspect. By serving multiple aspects of Open Science Theory at once, the Open Science Framework (OSF) serves as an exemplar technology. As such it illustrates how Open Science Theory can inform and expand cognitive and behavioral dynamics in teams at multiple levels in a single tool. Methodology: This concept paper provides a theoretical rationale for recommendations for exploring the connections between an open science paradigm and the dynamics of team communication. As such theory and evidence have been culled to initiate a synthesis of the nascent literature, current practice and theory. Contribution: This paper aims to illuminate the shared goals between open science and the study of teams by focusing on science team activities (data management, methods, algorithms, and outputs) as focal objects for further combined study. Findings: Team dynamics and characteristics that will affect successful human/machine assisted interactions through mediators of workflow culture, attitudes about ownership of knowledge, readiness to share openly, shifts from group-driven to user-driven functionality, group-organizing to self-organizing structures, and the development of trust as teams regulate between traditional and open science dissemination. Recommendations for Practitioners: Participation in open science practices through machine-assisted technologies in team projects/scholarship should be encouraged. Recommendation for Researchers: The information provided highlights areas in need of further study in team science as well as new primary sources of material in the study of teams utilizing machine-assisted methods in their work. Impact on Society: As researchers take on more complex social problems, new technology and open science practices can complement the work of diverse stakeholders while also providing opportunities to broaden impact and intensify scholarly contributions. Future Research: Future investigation into the cognitive and behavioral research conducted with teams that employ machine-assisted technologies in their workflows would offer researchers the opportunity to understand better the relationships between intelligent machines and science teams’ impacts on their communities as well as the necessary paradigmatic shifts inherent when utilizing these technologies.

Approximately 8.5%–16.2% of childhood cancers are associated with a pathogenic/likely pathogenic germline variant—a prevalence that is likely to rise with improvements in phenotype recognition, sequencing, and variant validation. One highly informative, classical hereditary cancer predisposition syndrome is Li–Fraumeni syndrome (LFS), associated with germline variants in the TP53 tumor suppressor gene, and a >90% cumulative lifetime cancer risk. In seeking to improve outcomes for young LFS patients, we must improve the specificity and sensitivity of existing cancer surveillance programs and explore how to complement early detection strategies with pharmacology-based risk-reduction interventions. Here, we describe novel precision screening technologies and clinical strategies for cancer risk reduction. In particular, we summarize the biomarkers for early diagnosis and risk stratification of LFS patients from birth, noninvasive and machine learning–based cancer screening, and drugs that have shown the potential to be repurposed for cancer prevention.

Union Minister for Food and Consumer Affairs Pralhad Joshi has announced that States can buy rice from the Food Corporation of India at ₹2,800/quintal without participating in e-auction.  

Between 2000 and 2010, US manufacturing experienced a nightmare. The number of manufacturing jobs in the United States, which had been relatively stable at 17 million since 1965, declined by one third in that decade, falling by 5.8 million to below 12 million in 2010 (returning to just 12.3 million in 2016). Certainly, the 2007–08 recession accelerated the disruption, but the causes were also structural, not simply financial.

Ian McKee, founder and CEO of Singapore-based Vuulr, explains the value of blockchain technology—and the threat it poses to the structure of traditional digital advertising.

4 March 2020 , Volume 96, Number 2

Between 2000 and 2010, US manufacturing experienced a nightmare. The number of manufacturing jobs in the United States, which had been relatively stable at 17 million since 1965, declined by one third in that decade, falling by 5.8 million to below 12 million in 2010 (returning to just 12.3 million in 2016). Certainly, the 2007–08 recession accelerated the disruption, but the causes were also structural, not simply financial.

Berlin ; New York : Springer, [2007]

Online Resource

Online Resource

IEEE / Institute of Electrical and Electronics Engineers Incorporated

Online Resource

Berlin ; New York : Springer, c2005

Title: New directions and paradigms for the study of Greek architecture [electronic resource] : interdisciplinary dialogues in the field / edited by Philip Sapirstein PhD, University of Toronto David Scahill PhD, American School of Classical Studies at Athens.
Author: New Approaches and Paradigms in the Study of Greek Architecture (Conference) (2016 : American School of Classical Studies at Athens), author.
Imprint: Leiden Boston : Brill, [2020]
Shelfmark: Brill
Subjects: Architecture, Greek -- Congresses.
Architecture, Greek. fast (OCoLC)fst00813766