Global data of unprotected skin minimal erythema dose relationship to Individual Typology Angle

2020 ◽  
Vol 36 (6) ◽  
pp. 452-459
Author(s):  
Curtis Cole
Keyword(s):  
Minimal Erythema Dose ◽  
Global Data

Joint Operation Dalam Studi Kualitatif

2017 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Arman Jayady
Keyword(s):  
Joint Operation ◽  
Face To Face ◽  
Global Data

Formasi joint operation (JO) antara perusahaan jasa konstruksi asing dan perusahaan jasa konstruksi lokal bukanlah bentuk kemitraan yang baru di Indonesia. JO telah diimplementasi di Indonesia melalui regulasi pemerintah sejak tahun 1991. Melalui formasi JO perusahaan jasa konstruksi lokal diharapkan mampu meningkatkan kapasitas internalnya sehingga dapat meningkatkan daya saing perusahaan jasa konstruksi lokal baik pada pasar domestik maupun global. Data yang dihimpun dari sumber terkait menunjukkan bahwa adanya tren peningkatan proyek konstruksi yang diselenggarakan melalui formasi JO di Indonesia. Hampir tiga dekade JO diimplementasi, namun hingga kini belum diperoleh kejelasan terhadap varian JO yang ada di Indonesia. Untuk memenuhi kuriositas tersebut, penelitian ini secara khusus bertujuan untuk mengeksplorasi varian JO dan karakteristiknya di Indonesia. Studi kualitatif dengan wawancara semi-terstruktur face to face dilakukan dalam penelitian ini dengan melibatkan beberapa praktisi berpengalaman dan berkompeten sehubungan JO di Indonesia. Hasil studi menunjukkan bahwa teridentifikasi dua varian JO bila ditinjau dari perspektif pengendalian proyek dan tiga varian JO bila ditinjau dari perspektif pengelolaan modal kerja.

Konsumsi Makanan Berisiko Faktor Penyebab Penyakit Tidak Menular

2019 ◽  
Vol 8 (2) ◽  
pp. 100-105
Author(s):  
Nur Fadhilah
Keyword(s):  
Diabetes Mellitus ◽  
Chi Square ◽  
Cross Sectional ◽  
Global Data

Penyakit Tidak Menular (PTM) menjadi penyebab kematian secara global. Data WHO menunjukkan bahwa dari 57 juta kematian di dunia ,sebanyak 36 juta  disebabkan oleh PTM.  Di Negara – Negara dengan tingkat ekonomi rendah/menengah, dari seluruh kematian yang  terjadi pada orang – orang berusia kurang dari 60 tahun, 29% disebabkan oleh PTM. Penyakit cardiovaskular merupakan penyebab terbesar (39%), diikuti kanker (27%), sedangkan penyakit pernafasan kronis, penyakit pencernaan dan PTM yang lain bersama-sama menyebabkan sekitar 30% kematian, serta 4% kematian disebabkan Diabetes Mellitus. Tujuan penelitian ini adalah diketahuinya hubungan konsumsi makanan berisiko dengan kejadian PTM di UPT Puskesmas pringsewu. Penelitian ini menggunkan metode kuantitatif dan pendekatan Cross Sectional,  dengan rumus Harry King diperoleh sampel sejumlah 125 orang dimana pemilihan sampel berdasarkan criteria tertentu. Instrument yang digunakan dengan mengadopsi dari Riskesdas 2018. Analisis data dilakukann dengan univariat dan bivariat dan uji sttistik yang digunakana adalah Chi Square. Hasil penelitian menunjukkan bahwa terdapat hubungan antara konsumsi makanan berisiko dengan kejadian  penyakit tidak menular.  Disarankan kepada masyarakat untuk dapat berperan aktif dalam mengendalikan risiko PTM seperti : konsumsi makana sesuai dengan Pedoman Gizi Seimbang (PSG), aktivitas fisik dan hindari obesitas.  Dan kepada pihak puskesmas  lebih meningkatkan upaya promotif dengan melibatkan peran serta masyarakat melalui kegiatan posyandu/Posbindu.

LNTP-MDBN: Big Data Integrated Learning Framework for Heterogeneous Image Set Classification

2019 ◽  
Vol 15 (2) ◽  
pp. 227-236
Author(s):  
D. Franklin Vinod ◽  
V. Vasudevan
Keyword(s):  
Big Data ◽  
Medical Image ◽  
Research Study ◽  
Big Data Analytics ◽  
Learning Framework ◽  
Image Set Classification ◽  
Filtering Technique ◽  
Image Set ◽  
Hidden Patterns ◽  
Global Data

Background: With the explosive growth of global data, the term Big Data describes the enormous size of dataset through the detailed analysis. The big data analytics revealed the hidden patterns and secret correlations among the values. The major challenges in Big data analysis are due to increase of volume, variety, and velocity. The capturing of images with multi-directional views initiates the image set classification which is an attractive research study in the volumetricbased medical image processing. Methods: This paper proposes the Local N-ary Ternary Patterns (LNTP) and Modified Deep Belief Network (MDBN) to alleviate the dimensionality and robustness issues. Initially, the proposed LNTP-MDBN utilizes the filtering technique to identify and remove the dependent and independent noise from the images. Then, the application of smoothening and the normalization techniques on the filtered image improves the intensity of the images. Results: The LNTP-based feature extraction categorizes the heterogeneous images into different categories and extracts the features from each category. Based on the extracted features, the modified DBN classifies the normal and abnormal categories in the image set finally. Conclusion: The comparative analysis of proposed LNTP-MDBN with the existing pattern extraction and DBN learning models regarding classification accuracy and runtime confirms the effectiveness in mining applications.

A Web without a Center

2018 ◽  
Author(s):  
Peter Knaack
Keyword(s):  
Regulatory Network ◽  
Financial Stability ◽  
Public Governance ◽  
The Public ◽  
Otc Derivatives ◽  
Unilateral Action ◽  
Regulatory Cooperation ◽  
Private And Public ◽  
Legal Barriers ◽  
Global Data

G20 leaders vowed to collect and share OTC derivatives trade data so that regulators can obtain a global picture of market and risk evolution. This chapter employs a network perspective to explain why they have failed to meet this commitment to date. It examines three networks: the OTC derivatives market itself, and those of its private and public governance. The analysis shows that the Financial Stability Board (FSB), the public supervisory entity, struggles to establish itself at the center of the global regulatory network. It failed to act as a first mover in setting global trade identification standards (legal entity identifiers), and it has not been able to establish a core of global data warehouses. This is largely the result of unilateral action by FSB members. In particular, legislators in member countries have undermined FSB-led efforts by refusing to remove legal barriers to transnational regulatory cooperation and, in some instances, by erecting new ones.

Empirical Methods in Short-Term Climate Prediction

2006 ◽  
Author(s):  
Huug van den Dool
Keyword(s):  
Climate Prediction ◽  
Empirical Orthogonal Functions ◽  
Data Sets ◽  
Seasonal Forecasts ◽  
Short Term ◽  
Orthogonal Functions ◽  
Ocean Atmosphere Interaction ◽  
Global Coverage ◽  
Atmosphere Interaction ◽  
Global Data

This clear and accessible text describes the methods underlying short-term climate prediction at time scales of 2 weeks to a year. Although a difficult range to forecast accurately, there have been several important advances in the last ten years, most notably in understanding ocean-atmosphere interaction (El Nino for example), the release of global coverage data sets, and in prediction methods themselves. With an emphasis on the empirical approach, the text covers in detail empirical wave propagation, teleconnections, empirical orthogonal functions, and constructed analogue. It also provides a detailed description of nearly all methods used operationally in long-lead seasonal forecasts, with new examples and illustrations. The challenges of making a real time forecast are discussed, including protocol, format, and perceptions about users. Based where possible on global data sets, illustrations are not limited to the Northern Hemisphere, but include several examples from the Southern Hemisphere.

Peace Above the Glass Ceiling: The Historical Relationship between Female Political Empowerment and Civil Conflict

2020 ◽  
Vol 64 (4) ◽  
pp. 879-893 ◽  
Author(s):  
Sirianne Dahlum ◽  
Tore Wig
Keyword(s):  
Twentieth Century ◽  
Civil Society ◽  
Political Participation ◽  
Civil Conflict ◽  
Reverse Causality ◽  
Political Empowerment ◽  
Strong Link ◽  
Participation Of Women ◽  
Historical Relationship ◽  
Global Data

Abstract We investigate whether female political empowerment is conducive to civil peace, drawing on global data on female political empowerment over a 200-year period, from the Varieties of Democracy database. We augment previous research by expanding the temporal scope, looking at a novel inventory of female political empowerment measures, attending to reverse-causality and omitted variable issues, and separating between relevant causal mechanisms. We find a strong link between female political empowerment and civil peace, which is particularly pronounced in the twentieth century. We find evidence that this relationship is driven both by women’s political participation—particularly the bottom-up political participation of women, e.g., in civil society—and the culture that conduces it. This is the strongest evidence to date that there is a robust link between female political empowerment and civil peace, stemming from both institutional and cultural mechanisms.

Global data prefetching using BitTorrent for distributed smart grid control

2016 ◽  
Author(s):  
Carlos J. Velez-Rivera ◽  
Emmanuel Arzuaga-Cruz ◽  
Agustin A. Irizarry-Rivera ◽  
Fabio Andrade
Keyword(s):  
Smart Grid ◽  
Data Prefetching ◽  
Global Data

scholarly journals GloBug: Using global data in Fault Localization

2021 ◽  
pp. 110961
Author(s):  
Nima Miryeganeh ◽  
Sepehr Hashtroudi ◽  
Hadi Hemmati
Keyword(s):  
Fault Localization ◽  
Global Data
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