scholarly journals Virtual Data Mart for Measuring Organizational Achievement Using Data Virtualization Technique (KPIVDM)

2014 ◽  
Vol 68 (3) ◽  
Author(s):  
Ayad Hameed Mousa ◽  
Norshuhada Shiratuddin ◽  
Muhamad Shahbani Abu Bakar
Keyword(s):  
Performance Management ◽  
Dynamic Environment ◽  
Deep Understanding ◽  
Data Mart ◽  
Data Marts ◽  
Data Virtualization ◽  
Using Data ◽  
The Right ◽  
Organizational Achievement ◽  
Virtual Data

Currently in the dynamic environment, organizations are confronted with new and growingly vital decisions which can impact their very survival. In fact, these demands are increasing the pressure on Information Technology in order to ensure that data will be delivered properly at the right time and faster rate. In this paper, we propose to build a virtual data mart, especially for Organizational KPIs by using data virtualization technology, which can be used to help KPI developers to build and update performance management system quickly and make these systems work in real time. In this paper, we  present a way of identifying and building virtual data marts for Organizational KPIs. The basic principle underlying the proposed approach is that the design of virtual data marts should be driven by the business needs and organizational requirements that each virtual data mart is expected to address. As a consequence, the virtual data mart design process must be based on a deep understanding of the top management’s need and users' expectations. A prototype is recommended to validate the use of the proposed method.

scholarly journals Using Data Marts Approach in Iraqi Educational Institution process

2014 ◽  
Vol 41 (1) ◽  
pp. 51-54
Author(s):  
Alla Yassin
Keyword(s):  
Information Systems ◽  
Educational Institution ◽  
Multiple Sources ◽  
Data Mart ◽  
Building Information ◽  
Data Marts ◽  
Multiple Levels ◽  
Using Data

Worldwide, educational institution has channeled big investments towards building information systems. This paperdeals with data marts ideas, which is a database, or collection of databases, designed to help managers make strategic decisionsabout their business. In this paper we suggest a project named IC-DM for the educational institution which has access to twodifferent data marts that user will need to decide which is the most appropriate for the project that they are working on. Datafrom multiple sources, and multiple levels was linked, or merged into a data mart.

The Multiple-Vortex Structure of the El Reno, Oklahoma, Tornado on 31 May 2013

2018 ◽  
Vol 146 (8) ◽  
pp. 2483-2502 ◽  
Author(s):  
Howard B. Bluestein ◽  
Kyle J. Thiem ◽  
Jeffrey C. Snyder ◽  
Jana B. Houser
Keyword(s):  
Doppler Radar ◽  
Radar Data ◽  
Rapid Scan ◽  
X Band ◽  
Close Range ◽  
Formation And Evolution ◽  
Using Data ◽  
Secondary Vortices ◽  
The Right ◽  
Gust Front

Abstract This study documents the formation and evolution of secondary vortices associated within a large, violent tornado in Oklahoma based on data from a close-range, mobile, polarimetric, rapid-scan, X-band Doppler radar. Secondary vortices were tracked relative to the parent circulation using data collected every 2 s. It was found that most long-lived vortices (those that could be tracked for ≥15 s) formed within the radius of maximum wind (RMW), mainly in the left-rear quadrant (with respect to parent tornado motion), passing around the center of the parent tornado and dissipating closer to the center in the right-forward and left-forward quadrants. Some secondary vortices persisted for at least 1 min. When a Burgers–Rott vortex is fit to the Doppler radar data, and the vortex is assumed to be axisymmetric, the secondary vortices propagated slowly against the mean azimuthal flow; if the vortex is not assumed to be axisymmetric as a result of a strong rear-flank gust front on one side of it, then the secondary vortices moved along approximately with the wind.

scholarly journals The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics

2013 ◽  
Vol 110 (4) ◽  
pp. 984-998 ◽  
Author(s):  
Wilsaan M. Joiner ◽  
Jordan B. Brayanov ◽  
Maurice A. Smith
Keyword(s):  
Short Duration ◽  
Dynamic Environment ◽  
Internal Representation ◽  
Motor Adaptation ◽  
Training Period ◽  
Visually Guided ◽  
Brief Training ◽  
Long Duration ◽  
The Stability ◽  
The Right

The way that a motor adaptation is trained, for example, the manner in which it is introduced or the duration of the training period, can influence its internal representation. However, recent studies examining the gradual versus abrupt introduction of a novel environment have produced conflicting results. Here we examined how these effects determine the effector specificity of motor adaptation during visually guided reaching. After adaptation to velocity-dependent dynamics in the right arm, we estimated the amount of adaptation transferred to the left arm, using error-clamp measurement trials to directly measure changes in learned dynamics. We found that a small but significant amount of generalization to the untrained arm occurs under three different training schedules: a short-duration (15 trials) abrupt presentation, a long-duration (160 trials) abrupt presentation, and a long-duration gradual presentation of the novel dynamic environment. Remarkably, we found essentially no difference between the amount of interlimb generalization when comparing these schedules, with 9–12% transfer of the trained adaptation for all three. However, the duration of training had a pronounced effect on the stability of the interlimb transfer: The transfer elicited from short-duration training decayed rapidly, whereas the transfer from both long-duration training schedules was considerably more persistent (<50% vs. >90% retention over the first 20 trials). These results indicate that the amount of interlimb transfer is similar for gradual versus abrupt training and that interlimb transfer of learned dynamics can occur after even a brief training period but longer training is required for an enduring effect.

scholarly journals Botulinum toxin injection changes resting state cerebellar connectivity in cervical dystonia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pavel Hok ◽  
Lenka Hvizdošová ◽  
Pavel Otruba ◽  
Michaela Kaiserová ◽  
Markéta Trnečková ◽  
...  
Keyword(s):  
Functional Mri ◽  
Resting State ◽  
Cervical Dystonia ◽  
Botulinum Neurotoxin ◽  
Botulinum Toxin Injection ◽  
Clinical Severity ◽  
Before And After ◽  
Positive Correlations ◽  
Using Data ◽  
The Right

AbstractIn cervical dystonia, functional MRI (fMRI) evidence indicates changes in several resting state networks, which revert in part following the botulinum neurotoxin A (BoNT) therapy. Recently, the involvement of the cerebellum in dystonia has gained attention. The aim of our study was to compare connectivity between cerebellar subdivisions and the rest of the brain before and after BoNT treatment. Seventeen patients with cervical dystonia indicated for treatment with BoNT were enrolled (14 female, aged 50.2 ± 8.5 years, range 38–63 years). Clinical and fMRI examinations were carried out before and 4 weeks after BoNT injection. Clinical severity was evaluated using TWSTRS. Functional MRI data were acquired on a 1.5 T scanner during 8 min rest. Seed-based functional connectivity analysis was performed using data extracted from atlas-defined cerebellar areas in both datasets. Clinical scores demonstrated satisfactory BoNT effect. After treatment, connectivity decreased between the vermis lobule VIIIa and the left dorsal mesial frontal cortex. Positive correlations between the connectivity differences and the clinical improvement were detected for the right lobule VI, right crus II, vermis VIIIb and the right lobule IX. Our data provide evidence for modulation of cerebello-cortical connectivity resulting from successful treatment by botulinum neurotoxin.

scholarly journals Are Artificial Intelligence (AI) And Machine Learning (ML) Having An Effective Role In Helping Humanity Address The New Coronavirus Pandemic?

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Outbreaks ◽  
Hospital Capacity ◽  
Data Engineering ◽  
Clinical Presentations ◽  
The Face ◽  
Effective Role ◽  
Using Data ◽  
The Right

COVID-19 has become a pandemic affecting the most of countries in the world. One of the most difficult decisions doctors face during the Covid-19 epidemic is determining which patients will stay in hospital, and which are safe to recover at home. In the face of overcrowded hospital capacity and an entirely new disease with little data-based evidence for diagnosis and treatment, the old rules for determining which patients should be admitted have proven ineffective. But machine learning can help make the right decision early, save lives and lower healthcare costs. So, there is therefore an urgent and imperative need to collect data describing clinical presentations, risks, epidemiology and outcomes. On the other side, artificial intelligence(AI) and machine learning(ML) are considered a strong firewall against outbreaks of diseases and epidemics due to its ability to quickly detect, examine and diagnose these diseases and epidemics.AI is being used as a tool to support the fight against the epidemic that swept the entire world since the beginning of 2020.. This paper presents the potential for using data engineering, ML and AI to confront the Coronavirus, predict the evolution of disease outbreaks, and conduct research in order to develop a vaccine or effective treatment that protects humanity from these deadly diseases.

scholarly journals Influence of Organizational Capabilities on Innovative Climate and Talent Retention

2019 ◽  
Vol 8 (4) ◽  
pp. 9788-9792 ◽  
Keyword(s):  
Conceptual Model ◽  
Dynamic Environment ◽  
Business Environment ◽  
Review Literature ◽  
Organizational Capabilities ◽  
Global Changes ◽  
Innovative Climate ◽  
Talent Retention ◽  
Model Author ◽  
The Right

Organizations in the highly competitive world give attention towards providing a innovative climate to retain the talented employees in the organization. Organizational capabilities are emerged to respond to the global changes in the business environment. Organizational capabilities play an important role in managing and developing its resources to sustain in the highly dynamic environment. Building right organizational capabilities will help the organizations in retaining the right talent and creating an innovative climate in the organization. The paper aims to develop a conceptual model by linking organizational capabilities, innovative climate and talent retention. To frame a conceptual model author did an extensive review literature that revealed the relative dimensions under the variables of organizational capabilities, innovative climate and talent retention. The revealed dimensions used for framing a conceptual model to understand the influence of organizational capabilities on innovative climate and talent retention. The study revealed that to retain talented employees organizations must provide innovative climate and build right capabilities in the organization to sustain in the highly dynamic and competitive environment.

scholarly journals A simulation-based approach to improve decoded neurofeedback performance

2018 ◽  
Author(s):  
Ethan Oblak ◽  
James Sulzer ◽  
Jarrod Lewis-Peacock
Keyword(s):  
Real Time ◽  
Brain Activity ◽  
Processing Parameters ◽  
Orientation Tuning ◽  
Design Parameters ◽  
Visual Orientation ◽  
Brain Functions ◽  
Simulation Based ◽  
Using Data ◽  
The Right

AbstractThe neural correlates of specific brain functions such as visual orientation tuning and individual finger movements can be revealed using multivoxel pattern analysis (MVPA) of fMRI data. Neurofeedback based on these distributed patterns of brain activity presents a unique ability for precise neuromodulation. Recent applications of this technique, known as decoded neurofeedback, have manipulated fear conditioning, visual perception, confidence judgements and facial preference. However, there has yet to be an empirical justification of the timing and data processing parameters of these experiments. Suboptimal parameter settings could impact the efficacy of neurofeedback learning and contribute to the ‘non-responder’ effect. The goal of this study was to investigate how design parameters of decoded neurofeedback experiments affect decoding accuracy and neurofeedback performance. Subjects participated in three fMRI sessions: two ‘finger localizer’ sessions to identify the fMRI patterns associated with each of the four fingers of the right hand, and one ‘finger finding’ neurofeedback session to assess neurofeedback performance. Using only the localizer data, we show that real-time decoding can be degraded by poor experiment timing or ROI selection. To set key parameters for the neurofeedback session, we used offline simulations of decoded neurofeedback using data from the localizer sessions to predict neurofeedback performance. We show that these predictions align with real neurofeedback performance at the group level and can also explain individual differences in neurofeedback success. Overall, this work demonstrates the usefulness of offline simulation to improve the success of real-time decoded neurofeedback experiments.

Unit-root tests for explosive behavior

2021 ◽  
Vol 21 (4) ◽  
pp. 999-1020
Author(s):  
Christopher F. Baum ◽  
Jesús Otero
Keyword(s):  
International Economic ◽  
Unit Root ◽  
American Statistical Association ◽  
Unit Root Tests ◽  
Statistical Association ◽  
International Economic Review ◽  
Augmented Dickey Fuller ◽  
Using Data ◽  
The Right ◽  
Rolling Windows

We present a new command, radf, that tests for explosive behavior in time series. The command computes the right-tail augmented Dickey and Fuller (1979, Journal of the American Statistical Association 74: 427–431) unitroot test and its further developments based on supremum statistics derived from augmented Dickey–Fuller-type regressions estimated using recursive windows (Phillips, Wu, and Yu, 2011, International Economic Review 52: 201–226) and recursive flexible windows (Phillips, Shi, and Yu, 2015, International Economic Review 56: 1043–1078). It allows for the lag length in the test regression and the width of rolling windows to be either specified by the user or determined using data-dependent procedures, and it performs the date-stamping procedures advocated by Phillips, Wu, and Yu (2011) and Phillips, Shi, and Yu (2015) to identify episodes of explosive behavior. It also implements the wild bootstrap proposed by Phillips and Shi (2020, Handbook of Statistics: Financial, Macro and Micro Econometrics Using R, Vol. 42, 61–80) to lessen the potential effects of unconditional heteroskedasticity and account for the multiplicity issue in recursive testing. The use of radf is illustrated with an empirical example.

STRUKTUR POLA ASUH ANAK TENAGA KERJA WANITA DI MADURA

2020 ◽  
Vol 13 (1) ◽  
pp. 40-68
Author(s):  
Heni Listiana
Keyword(s):  
Child Care ◽  
Migrant Workers ◽  
Data Extraction ◽  
Children Of Migrant Workers ◽  
Using Data ◽  
The Right ◽  
The Village ◽  
Source Of Information ◽  
Female Migrant

Discussions about children and female migrant workers (TKW) are always in interesting issue. Especially, related to child care. By using data extraction techniques such as observation, interviews, and documentation, it is known that parenting children of migrant workers in Madura has formed a new structure with the emergence of a second mother. There are three types of second mothers, namely grandmother,  bu de (mother's brother or sister), and sister of TKW's child. They carry out the role of mother, among them being a model of children's behavior that is easily observed and imitated, becomes an educator, becomes a consultant, and becomes a source of information. Nearly 77% of grandmothers become maternal substitutes for migrant workers' children. Grandmother is considered the right person to do childcare tasks. This structure is called the inner parenting structure. While the structure of outside parenting takes the form of community participation in child care, namely good neighbors, the attention of the village head (Klebun), and the environment of friends and schools.   Pembahasan tentang anak dan Tenaga Kerja Wanita (TKW) selalu menjadi isu yang menarik. Terutama yang berkaitan dengan pola asuh anak. Dengan menggunakan teknik penggalian data berupa observasi, wawancara, dan dokumentasi diketahui bahwa pola asuh anak TKW di Madura membentuk struktur baru dengan munculnya ibu pengganti (second mother). Ada tiga jenis ibu pengganti, yaitu nenek, bu de (kakak atau adik ibu), serta kakak dari anak TKW. Mereka menjalankan peran ibu diantaranya menjadi model tingkah laku anak yang mudah diamati dan ditiru, menjadi pendidik, menjadi konsultan, dan menjadi sumber informasi. Hampir 77% nenek menjadi sosok pengganti ibu bagi anak-anak TKW. Nenek dianggap sebagai sosok yang tepat untuk melakukan tugas-tugas pengasuhan anak. Struktur ini disebut dengan struktur pola asuh dalam. Sementara struktur pola asuh luar itu berwujud peran serta masyarakat dalam pengasuhan anak yaitu tetangga yang baik, perhatian kepala desa (Klebun), dan lingkungan teman dan sekolah.

An Integrated Electronic IQA System for HEI

2018 ◽  
pp. 3881-3899 ◽  
Author(s):  
Teay Shawyun
Keyword(s):  
Quality Management ◽  
Performance Management ◽  
Key Management ◽  
Management System ◽  
Quality Management System ◽  
Quality Information ◽  
Informed Decision Making ◽  
Academic Aspirations ◽  
Data Marts ◽  
Data Statistics

Most HEIs have piecemeal partially linked QMS (Quality Management System) or mechanisms to manage the data, statistics and documents heavy quality management of its academic aspirations disjointed from the planning dimension. The integrated eIQA structured in 9 e-modules are aimed at integrating the quality-information-planning trilogy into a paperless online real-time era of quality-information-planning management working in full tandem in conjunctions with each other holistically to support the key management and institution performance management and informed decision making. The linkages are establlished via the key reports, statistics, documents and action plans and projects required of quality management and accreditation across the QMS-PMS (Planning Management System) duo, as supported by a data warehouse and its applications data marts that interlinks the 9 e-modules in in eIQA.

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