Automated Emission Data Registration and Segmentation for IC Analysis

2016 ◽  
Author(s):  
Franco Stellari ◽  
Peilin Song
Keyword(s):  
Data Analysis ◽  
Registration Accuracy ◽  
Emission Data ◽  
Data Registration ◽  
Different Types ◽  
Test Chips

Abstract In this paper, the development of advanced emission data analysis methodologies for IC debugging and characterization is discussed. Techniques for automated layout to emission registration and data segmentations are proposed and demonstrated using both 22 nm and 14 nm SOI test chips. In particular, gate level registration accuracy is leveraged to compare the emission of different types of gates and quickly create variability maps automatically.

Market of Insurance in Russia: Major Tendencies and Problems of Development

2006 ◽  
pp. 115-127
Author(s):  
T Natkhov
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Medium Term ◽  
Insurance Sector ◽  
Different Types ◽  
Basic Characteristics

The article considers recent tendencies in the development of the market of insurance in Russia. On the basis of statistical data analysis the most urgent problems of the insurance sector are formulated. Basic characteristics of different types of insurance are revealed, and measures on perfection of the insurance institution in the medium term are proposed.

scholarly journals The esteem needs in the main character of ‘Me Before You’ movie

2021 ◽  
Vol 8 (3) ◽  
pp. 1285-1298
Author(s):  
Diana Anggraeni ◽  
Herland Franley Manalu ◽  
Desty Anggraini
Keyword(s):  
Data Analysis ◽  
Self Esteem ◽  
Psychological Effects ◽  
Main Character ◽  
Descriptive Data ◽  
Literary Works ◽  
Human Needs ◽  
Different Types ◽  
The Status

Humans have gone through many incidents, both good and bad experiences, and sometimes these experiences are shared with others in the form of stories. The stories, as one of the forms of literary works, would be nothing without the created characters within them because they provide the viewers with a purpose and a reason for us to learn about what happens in the story. Besides, they act as one important element in the movie with various psychological effects. This research aims to analyze the characteristics and the hierarchy of human needs, especially esteem needs, that appear in the main character named Will Traynor in the ‘Me Before You’ movie directed by Thea Sharrock. This study uses descriptive data analysis which describes a phenomenon and the main character in the movie. The results revealed seven characters comprising the esteem needs hierarchy: sensitive, open-minded, friendly, kind, confident, humble, and stubborn. The esteem needs hierarchy is the desire to have the need to be approved, valued, and recognized to have some self-esteem. This is striking in the movie because of the status of the character, Will Traynor as a lord, and Louisa Clark who is only a maid and has no superiority over Will in her life. The findings imply the personality of humans differ in their characters and psychology as shown from the esteem needs hierarchy in Will’s personality expressing the different types of characteristics.

scholarly journals Patterns of Patients’ Interactions With a Health Care Organization and Their Impacts on Health Quality Measurements: Protocol for a Retrospective Cohort Study (Preprint)

2018 ◽  
Author(s):  
Arriel Benis ◽  
Nissim Harel ◽  
Refael Barak Barkan ◽  
Einav Srulovici ◽  
Calanit Key
Keyword(s):  
Health Care ◽  
Data Analysis ◽  
Communication Channel ◽  
Clustering Algorithm ◽  
Health Care Organizations ◽  
Health Care Organization ◽  
Communication Channels ◽  
Care Organization ◽  
Care Providers ◽  
Different Types

BACKGROUND Data collected by health care organizations consist of medical information and documentation of interactions with patients through different communication channels. This enables the health care organization to measure various features of its performance such as activity, efficiency, adherence to a treatment, and different quality indicators. This information can be linked to sociodemographic, clinical, and communication data with the health care providers and administrative teams. Analyzing all these measurements together may provide insights into the different types of patient behaviors or more accurately to the different types of interactions patients have with the health care organizations. OBJECTIVE The primary aim of this study is to characterize usage profiles of the available communication channels with the health care organization. The main objective is to suggest new ways to encourage the usage of the most appropriate communication channel based on the patient’s profile. The first hypothesis is that the patient’s follow-up and clinical outcomes are influenced by the patient’s preferred communication channels with the health care organization. The second hypothesis is that the adoption of newly introduced communication channels between the patient and the health care organization is influenced by the patient’s sociodemographic or clinical profile. The third hypothesis is that the introduction of a new communication channel influences the usage of existing communication channels. METHODS All relevant data will be extracted from the Clalit Health Services data warehouse, the largest health care management organization in Israel. Data analysis process will use data mining approach as a process of discovering new knowledge and dealing with processing data extracted with statistical methods, machine learning algorithms, and information visualization tools. More specifically, we will mainly use the k-means clustering algorithm for discretization purposes and patients’ profile building, a hierarchical clustering algorithm, and heat maps for generating a visualization of the different communication profiles. In addition, patients’ interviews will be conducted to complement the information drawn from the data analysis phase with the aim of suggesting ways to optimize existing communication flows. RESULTS The project was funded in 2016. Data analysis is currently under way and the results are expected to be submitted for publication in 2019. Identification of patient profiles will allow the health care organization to improve its accessibility to patients and their engagement, which in turn will achieve a better treatment adherence, quality of care, and patient experience. CONCLUSIONS Defining solutions to increase patient accessibility to health care organization by matching the communication channels to the patient’s profile and to change the health care organization’s communication with the patient to a highly proactive one will increase the patient’s engagement according to his or her profile. INTERNATIONAL REGISTERED REPOR RR1-10.2196/10734

Health benefits of avicularin in the medicine against cancerous disorders and other complications: Biological importance, therapeutic benefit and analytical aspects of the medicine

2021 ◽  
Vol 17 ◽  
Author(s):  
Kanika Patel ◽  
Dinesh Kumar Patel
Keyword(s):  
Data Analysis ◽  
Scientific Data ◽  
Lespedeza Cuneata ◽  
Pharmacological Activities ◽  
Medicinal Uses ◽  
Biological Importance ◽  
Anti Cancer ◽  
Scientific Data Analysis ◽  
Different Types ◽  
Anti Inflammatory

Background: Herbal drugs and their derived phytochemicals have been used in medicine for the preparation of different types of pharmaceutical products. Pure phytochemicals including flavonoids, alkaloids and terpenoids have been used in medicine for the treatment of different types of human disorders including cancerous disorders. Flavonoids have been well known in medicine for their anti-viral, anti-bacterial, anti-inflammatory, anti-diabetic, anti-cancer, anti-aging and cardioprotective potential. Avicularin, also called quercetin-3-α-l-arabino furanoside, is a pure flavonoid, a class of phytochemicals, found to be present in Lindera erythrocarpa and Lespedeza cuneata. Avicularin has been well known in medicine for its anti-cancer properties. Methods: In the present work, scientific data of avicularin have been collected from different databases such as Google, PubMed, Science Direct, Google Scholar and Scopus and summarized with reference to medicinal importance, pharmacological activities and analytical aspects of avicularin. The present review summarized the health beneficial properties of avicularin in medicine through data analysis of various scientific research works. Further analytical progress in medicine for the qualitative and quantitative analysis of avicularin in medicine has been also discussed in the present work. Results: Scientific data analysis of different literature work revealed the biological importance of flavonoid class of phytochemical ‘avicularin’ in medicine. Scientific data analysis revealed that avicularin was found to be present in the Lindera erythrocarpa, Lespedeza cuneata, Rhododendron schlipenbachii and Psidium guajava. Avicularin has been well known in medicine for its anti-inflammatory, anti-allergic, anti-oxidant, anti-tumor and hepatoprotective activities. Avicularin protects cardiomyocytes and hepatocytes against oxidative stress-induced apoptosis and induces cytotoxicity in cancer lines and tumor tissues. Avicularin has positive influence on human hepatocellular carcinoma and inhibits intracellular lipid accumulation. The role of avicularin in rheumatoid arthritis has been also established with its underlying molecular mechanisms in the scientific work. Recent interest in avicularin has focused on pharmacological investigations for its anti-cancer activity in the medicine. Conclusion: The present work signified the biological importance of avicularin in medicine through its medicinal uses, pharmacological activities and analytical aspects in the biological system.

Appositive compounds in dialectal and sociolinguistic varieties of French

2020 ◽  
pp. 326-346
Author(s):  
Brigitte L. M. Bauer
Keyword(s):  
Twentieth Century ◽  
Data Analysis ◽  
Geographic Variation ◽  
Word Order ◽  
Word Formation ◽  
Underlying Structure ◽  
Formation Processes ◽  
Early Twentieth Century ◽  
Different Types

Over the last 100 years, appositive compounding—combining two nouns in apposition—has become one of the most productive word formation processes in French. In an attempt to account for this dramatic spread and building on existing diachronic research, this article examines the occurrence of appositive compounds in non-standard French during the twentieth century, in a number of Gallo-Romance dialects and in Poilu, a sociolect from the early twentieth century, bringing together historical, dialectal, and sociolinguistic data. Analysis includes the identification of the different types of appositive compound and their underlying structure. Moreover word order patterns and their potential geographic correlates will be investigated as well as the role of metaphors and metonymy. Data reflecting geographic variation and sociolinguistic stratification will thus help to determine what factors were at play in the expansion of appositive compounding in contemporary French.

scholarly journals Evaluating Thermal Attribute Mapping Strategies for Oblique Airborne Photogrammetric System AOS-Tx8

2019 ◽  
Vol 12 (1) ◽  
pp. 112 ◽  
Author(s):  
Dong Lin ◽  
Lutz Bannehr ◽  
Christoph Ulrich ◽  
Hans-Gerd Maas
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Texture Mapping ◽  
Point Clouds ◽  
Registration Accuracy ◽  
Point Cloud Registration ◽  
Thermal Imagery ◽  
Processing Scheme ◽  
Data Registration ◽  
Thermal Cameras

Thermal imagery is widely used in various fields of remote sensing. In this study, a novel processing scheme is developed to process the data acquired by the oblique airborne photogrammetric system AOS-Tx8 consisting of four thermal cameras and four RGB cameras with the goal of large-scale area thermal attribute mapping. In order to merge 3D RGB data and 3D thermal data, registration is conducted in four steps: First, thermal and RGB point clouds are generated independently by applying structure from motion (SfM) photogrammetry to both the thermal and RGB imagery. Next, a coarse point cloud registration is performed by the support of georeferencing data (global positioning system, GPS). Subsequently, a fine point cloud registration is conducted by octree-based iterative closest point (ICP). Finally, three different texture mapping strategies are compared. Experimental results showed that the global image pose refinement outperforms the other two strategies at registration accuracy between thermal imagery and RGB point cloud. Potential building thermal leakages in large areas can be fast detected in the generated texture mapping results. Furthermore, a combination of the proposed workflow and the oblique airborne system allows for a detailed thermal analysis of building roofs and facades.

scholarly journals Studies of different types of aspirin by spectrophotometric methods

2014 ◽  
Vol 22 (2) ◽  
pp. 155-164 ◽  
Author(s):  
Gabriela Motan ◽  
Aurel Puia
Keyword(s):  
Data Analysis ◽  
Acetylsalicylic Acid ◽  
Ftir Spectroscopy ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Spectrophotometric Methods ◽  
Vis Spectroscopy ◽  
Different Types ◽  
Anti Inflammatory

Abstract Aspirin (acetylsalicylic acid) is an important anti-inflammatory and analgesic-pyretic drug. FTIR and UV-VIS spectroscopy were used in the present study. Using the FTIR spectroscopy and statistical data analysis the correlation between different types of aspirin was determined. The content of acetylsalicylic acid from the analysed samples was determined by the use of UV-VIS spectroscopy

A novel Bayesian approach to acoustic emission data analysis

Ultrasonics ◽  
2016 ◽  
Vol 72 ◽  
pp. 89-94 ◽  
Author(s):  
E. Agletdinov ◽  
E. Pomponi ◽  
D. Merson ◽  
A. Vinogradov
Keyword(s):  
Acoustic Emission ◽  
Data Analysis ◽  
Bayesian Approach ◽  
Emission Data

scholarly journals The Identification of the Deformation Stage of a Metal Specimen Based on Acoustic Emission Data Analysis

Sensors ◽  
2017 ◽  
Vol 17 (4) ◽  
pp. 789 ◽  
Author(s):  
Shenao Zou ◽  
Fengying Yan ◽  
Guoan Yang ◽  
Wei Sun
Keyword(s):  
Acoustic Emission ◽  
Data Analysis ◽  
Emission Data ◽  
Deformation Stage ◽  
Metal Specimen

scholarly journals Converting Feature Types in Analysis of Different Types of Data

2020 ◽  
Vol 9 (4) ◽  
pp. 421-426 ◽  
Keyword(s):  
Pattern Recognition ◽  
Factor Analysis ◽  
Data Analysis ◽  
Software Development ◽  
Full Range ◽  
Source Information ◽  
Independent Task ◽  
Different Types ◽  
Integrated Software ◽  
Regression Correlation

Today there are the large number of methods of data analysis for solving problems of pattern recognition of regression, correlation and factor analysis, which are not applicable in the case of different types of features in the source information. In this paper we propose an approach to solving this problem, named the conversion of feature types. The conversion of feature types is considered as an independent task that allows you to make the transition from non-quantitative features to quantitative ones and in further processing to apply the full range of classical methods of data analysis. The proposed algorithm is implemented in Delphi 10 Seattle the integrated software development sphere. The result of the study was tested when solving the task of recognition of several sets of known data.

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