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作者： United States Government Accountability Office United States Government Accountability Office Washington DC

Federal EAA programs help workers adjust to various economic disruptions, such as policy changes on trade, defense, or energy, and shifts in immigration, globalization, or automation that cause a prolonged cyclical downturn and can dislocate workers. GAO was asked to review these programs. This report examines (1) what challenges eligible workers face in using EAA programs, (2) what challenges grantees face in implementing EAA programs and serving workers, and (3) what is known about the outcomes and impacts of selected EAA programs. GAO analyzed DOL grant processing data from fiscal years 2015 through 2018, the most recent data available at the time of GAOs analysis; reviewed outcome data from program year 2018 and program impact evaluations; interviewed ARC, DOL, and Department of the Treasury officials, as well as state and local officials in three states that experienced different economic disruptions and use different EAA programs; and reviewed relevant federal laws, regulations, and guidance.

关键词： Congress Data analysis Labor markets Job training Commerce Governments Training Education Law Test and evaluation United states United states government Employment House of representatives Information science Labor Accountability descriptive analytics Federal law Information systems

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Open Data Visual analytics to Support Decisions on Physical Investments

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Procedia Computer Science 2019年 161卷 797-804页

作者： Meditya Wasesa M. Mashuri Putri Handayani Utomo S. Putro School of Business and Management Bandung Institute of Technology Jl. Ganesha 10 Bandung Indonesia Indonesian Center for Logistics and Value Chains Jl. Sarijadi Baru III no: 15 Bandung Indonesia Water Science and Management Masters Programme Utrecht University Utrecht the Netherlands

Before making decisions about the location of physical investments (e.g. factories, warehouses, stores, etc.), investors have to conduct thorough profiling on the prospective locations of the physical facilities. For this profiling purpose, investors consider a number of important aspects such as the location’s local resources, market size, economic growth, regional minimum wage (salary) standard, land acquisition cost, human development index, and gross domestic product (GDP). While conducting manual research on those decision variables can cost extensive time and efforts, in this article, we present an open data visual analytics which will help investors in making decisions on the prospective location of physical investments. Investors can use the web-based application to easily gather information and do a quick comparison among prospective investment locations in terms of the selected decision variables.

关键词： Open Data Visual analytics descriptive analytics Spatiotemporal Data Physical Investment

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A Big Data analytics Model for Household Electricity Consumption Tracking and Monitoring

A Big Data Analytics Model for Household Electricity Consump...

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IEEE Conference on Big Data and analytics (ICBDA)

作者： Dollah, Roimah Aris, Hazleen Univ Tenaga Nas Coll Comp Sci & Informat Technol Kajang Malaysia Univ Tenaga Nas Inst Informat & Comp Energy Kajang Malaysia

ISBN: (纸本)9781538671283

The abundance of data nowadays can offer infinite opportunities and possibilities if being systematically explored. Exploration of the data can be achieved through the application of big data analytics (BDA). Consequently, a number of BDA models are seen developed in a number of sectors. Energy is one of the sectors that can potentially benefit from the BDA initative. Consumers' energy related data that come from sources such as smart meters and billing systems are good candidates for the data. Through the application of the BDA on consumers' data, useful information such as consumption pattern and trend can be obtained. Studies showed that awareness on the energy consumption is able to contribute up to 20% saving in its use. Furthermore, BDA models in energy sector, particularly on electricity that address the consumers side of the sector are still lacking. Therefore, in this research, a BDA model for household electricity consumption tracking and monitoring was developed based on the common BDA models' layers. Using the descriptive and predictive analytics to analyse the big data amassed from the consumers, the model provides the required information and prediction that enables the consumers to view, track, compare and plan their electricity consumption at home. Evaluation results showed that the model is deemed applicable and able to attain its objective. Through the proposed BDA model, consumers can be better guided in managing their electricity consumption.

关键词： BDA framework machine learning framework development predictive analytics descriptive analytics

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Data analytics on Price Prediction of Travelling Package using Regression Models

Data Analytics on Price Prediction of Travelling Package usi...

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International Conference on Artificial Intelligence and Data Sciences (AiDAS)

作者： Ezzatul Akmal Kamaru Zaman Nur Athirah Azirah Binti Rahmat Azlin Ahmad Nur Huda Nabihan Md Shahri Mohd Najib Ismail Advanced Analytics Engineering Centre Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor Malaysia School of Computing Asia Pacific University Technology Park Malaysia Bukit Jalil Kuala Lumpur Malaysia

ISBN: (纸本)9781728130422

Travel agencies set new prices on travel packages based on their experiences by analyzing the trend on holiday and festive season. However, they find it hard to set and predict exact travel packages with minimum prices to be offered for the upcoming years. Prices keep changing due to other reasons rather than the holiday and festive season. This research paper applied data analytics which is divided into two parts, 1) descriptive analytics to facilitate the agencies to have better insights of the data and 2) predictive analytics for price forecasting. Visualization is a part of descriptive analytics where dispersion and correlation of data are produced to gain insight of data. Meanwhile, in the predictive analytics part, Linear Regression and Multiple Linear Regression models are applied to predict the price of travel packages. Different parameter settings are applied to optimize the score of R-square. Hence, the final result of 0.9346 R-square is achieved by applying Multiple Linear Regression with all variables are taken into consideration.

关键词： Data analytics descriptive analytics Linear regression Multiple linear regression Predictive analytics R-square Travel packages Linear Regression Holidays Prices travel data association Regression (Psychology) packages AGENCIES parameter setting Data analysis multiple regression model

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Business analytics and AGI in corporate management systems 9

Business analytics and AGI in corporate management systems

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9th Annual International Conference of the Biologically-Inspired-Cognitive-Architectures-Society (BICA) held as part of the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI)

作者： Sukhobokov, Artem A. SAP DBS CIS Kosmodemyanskaya Nab 52-4 Moscow 115054 Russia Bauman Moscow State Tech Univ Ul Baumanskaya 2 Ya5 Moscow 105005 Russia

The article proposes a classification of tools and stages of business analytics development, extending previously known examples of such classifications. As the highest point of business analytics tools development, AGI is considered. It is substantiated that corporate management systems are the most likely environment in which the first copies of AGI will be created. The process of corporate management systems evolution is considered in conjunction with the time shift between the development of ideas and the practical use of the corresponding class of systems. A forecast of time frames of AGI introduction in these systems is made. (C) 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures.

关键词： descriptive analytics Predictive analytics Predicative analytics Implicative analytics Prescriptive analytics Executive analytics Reflexive analytics AGI

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Understanding the value and organizational implications of big data analytics: the case of AUDI AG

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Journal of Information Technology Teaching Cases 2018年第2期8卷 126-138页

作者： Dremel, Christian Wulf, Jochen Maier, Annegret Brenner, Walter Institute of Information Management University of St. Gallen Mueller-Friedberg-Strasse 8 St. Gallen 9000 Switzerland Audi AG Ingolstadt 85045 Germany

“Understanding the value and organizational implications of big data analytics: the case of AUDI AG” presents the case of AUDI AG and its attempts to implement big data analytics in its organization. The case highlights the situation of an original equipment manufacturer (OEM) in the automotive industry and the potentials and challenges the emerging technology big data analytics may entail for such organizations. The case tries to help students to grasp the technical characteristics, the value, and organizational implications of big data analytics as well as the distinct types of analytics services. The case is presented through the eyes of Hortensie, an aspiring manager at AUDI, who gained strong interest in the phenomenon of big data analytics and received the task to position it within AUDI. To ramp up the topic big data analytics, AUDI is engaging with industry and design experts as well as an external consultancy ITConsult. © 2018, Association for Information Technology Trust.

关键词： analytics services Big data analytics descriptive analytics Organizational adoption Organizational benefits Organizational change Organizational transformation Predictive analytics Teaching case

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A novel decision support system for the interpretation of remote sensing big data

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EARTH SCIENCE INFORMATICS 2018年第1期11卷 31-45页

作者： Boulila, Wadii Farah, Imed Riadh Hussain, Amir Univ Manouba Natl Sch Comp Sci RIADI Lab Manouba Tunisia Univ Rennes 1 ITI Dept Telecom Bretagne Brest France Univ Stirling Sch Nat Sci Div Comp Sci & Maths Stirling Scotland

Applications of remote sensing (RS) data cover several fields such as: cartography, surveillance, land-use planning, archaeology, environmental studies, resources management, etc. However, the amount of RS data has grown considerably due to the increase of aerial and satellite sensors. With this continuous increase, the necessity of having automated tools for the interpretation and analysis of RS big data is clearly obvious. The manual interpretation becomes a time consuming and expensive task. In this paper, a novel tool for interpreting and analyzing RS big data is described. The proposed system allows knowledge gathering for decision support in RS fields. It helps users easily make decisions in many fields related to RS by providing descriptive, predictive and prescriptive analytics. The paper outlines the design and development of a framework based on three steps: RS data acquisition, modeling, and analysis & interpretation. The performance of the proposed system has been demonstrated through three models: clustering, decision tree and association rules. Results show that the proposed tool can provide efficient decision support (descriptive and predictive) which can be adapted to several RS users' requests. Additionally, assessing these results show good performances of the developed tool.

关键词： Decision support system Remote sensing data Image interpretation ETL process Data warehouse Predictive analytic descriptive analytics Prescriptive analytics

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Comparison of Coconut and Sesame Oils With Chlorhexidine and Listerine as Antimicrobial and Anti-Plaque Agents

Comparison of Coconut and Sesame Oils With Chlorhexidine and...

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作者： Bailey, E. S Naval Postgraduate Dental School Bethesda MD Uniformed Services University of the Health Sciences Bethesda MD

Displeasure and dissatisfaction with the side effect profiles of conventional medical therapies has led to the exploration of diverse approaches to prevent or treat common diseases. Oil-pulling, in complementary and alternative medicine, is a procedure that involves swishing oil in the mouth for oral and systemic health benefits. While it has been used extensively as a traditional Indian folk remedy, sufficient research and evidence is lacking to demonstrate the effects of oil pulling on oral health.

关键词： Anti-infective agents Plant oils Health Test methods Dentistry Fatty acids Oral health Public health Bacteria Hygiene Inhibition Oils Oral hygiene Teeth Visual inspection descriptive analytics Face (anatomy) Adhesion Data science Dilution

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Assessment of Military Nurse Practitioner Role Transition: Preliminary Findings

Assessment of Military Nurse Practitioner Role Transition: P...

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作者： Killian, J Morgan, B Yackel, E Braun, L Gardner, C Yoder, L 59th MDW San Antonio TX 59th Medical Wing San Antonio TX

The overall objective of this study is to characterize the process and perceived obstacles of successful role transition for new military nurse practitioners (NPs). Background: Advanced practice role transition has been described as stressful for those transitioning from registered nurse to nurse practitioner (NP). The change from expert nurse to novice NP poses many challenges. Individual and organizational factors have shown to influence role transition experience. Military nurses transitioning to the NP role share similar challenges, however they also have the added responsibility of military officership. There is a lack of research about NP role transition experience and no research about military NPs role transient. The lack of evidence-based literature regarding the transition experience of military nurses is the basis of this study. Methods: Data collection occurs via a web-based survey. Air Force (AF) cohort data collection commenced following approval from the AF Survey Office. Participant responses are sought at 6 months, one year, 18 months and two years post-graduation. The instrument is currently being routed through the Department of Defense (DoD) survey approval process. Once completed, data collection will begin for Army and Navy cohorts. descriptive statistics and correlations will be used to report features and distributions of variables measured. Preliminary Findings: 41 newly graduated/accessed AF NPs were provided the opportunity to participate Fall 2017. Results from first two time points regarding respondents perception of stress, depressive symptoms and anxiety, as well as responses to items regarding social and organizational work conditions will be presented. Implications for Military Nursing: This study is the first to investigate role transition process of military NPs.

关键词： Department of defense Health care Air force Health United states government descriptive analytics High reliability Mental health Statistics Transitions Active duty Environment Governments Job satisfaction Military medicine Surveys Test and evaluation United states Health services Information science

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Prevalence of Dental Anxiety in Active Duty Service Members

Prevalence of Dental Anxiety in Active Duty Service Members

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作者： Nghiem, H. B Uniformed Services University of the Health Sciences Bethesda MD

Introduction: Dental anxiety is a major barrier for both patients and dentists that diminishes the effectiveness of dental care, resulting in poor oral health and lower quality of life. Currently, there is limited knowledge concerning the prevalence of dental anxiety in the active duty military service population. Purpose: To assess the prevalence of dental anxiety in active duty military servicemembers seen at the Dental and Readiness clinics of Walter Reed National Military Medical Center (WRNMMC). Methods: Study participants (n=289) voluntarily completed an anonymous survey comprised of a demographics questionnaire and the Index of Dental Anxiety and Dental Fear (IDAF-4C+). Results: Moderate to high dental anxiety was detected in 10.4 percent (n=30) of the study participants with 9 percent respondents reporting avoidance of dental visit due to dental anxiety. The prevalence of dental anxiety in this study is lower than other studies from the general non-military population. These participants also reported pain, needles or injections, unkind dentist, feeling embarrassed or ashamed, and not being in control as at least somewhat anxiety-provoking. There was no statistically significant gender (male vs. female) or rank (enlisted vs. officer) differences in the prevalence of dental anxiety. However, there was a positive correlation between dental anxiety and increasing age (p<0.05). Conclusions: These results suggest the need for additional research on prevalence of dental anxiety in the United States military populations. Understanding dental anxiety and applying appropriate interventions for those experiencing this distressing issue will help patients follow through with needed dental care and may improve mission readiness. Screening for dental anxiety and dental anxiety management should be an integral part of comprehensive oral care.

关键词： Medical personnel United states Pain Surveys Active duty Oral health Social sciences Health Information science Statistics Data science Demography Military medicine Therapy Diseases and disorders Intervals Adolescents Dentists descriptive analytics Military personnel

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