Auto-Metrology on TEM Images of FinFET

2014 ◽  
Author(s):  
Sajal Biring
Keyword(s):  
Data Analysis ◽  
Data Interpretation ◽  
Visual Judgment ◽  
Manual Measurement ◽  
Size And Shape ◽  
Highly Sensitive ◽  
Edge Detecting ◽  
Geometrical Data ◽  
Precision And Accuracy ◽  
Device Size

Abstract The FinFET has been introduced in the last decade to provide better transistor performance as the device size shrinks. The performance of FinFET is highly sensitive to the size and shape of the fin, which needs to be optimized with tighter control. Manual measurement of nano-scale features on TEM images of FinFET is not only a time consuming and tedious task, but also prone to error owing to visual judgment. Here, an auto-metrology approach is presented to extract the measured values with higher precision and accuracy so that the uncertainty in the manual measurement can be minimized. Firstly, a FinFET TEM image is processed through an edge detecting algorithm to reveal the fin profile precisely. Finally, an algorithm is utilized to calculate out the required geometrical data relevant to the FinFET parameters and summarizes them to a table or plots a graph based on the purpose of data interpretation. This auto-metrology approach is expected to be adopted by academia and/or industry for proper data analysis and interpretation with higher precision and efficiency.

Brief Synopsis: “Instruction Manual for Juvenile Clinical Pathology”

2021 ◽  
pp. 019262332110413
Author(s):  
Anne Provencher ◽  
Paula Katavolos
Keyword(s):  
Data Analysis ◽  
Clinical Pathology ◽  
Data Interpretation ◽  
Physiological Functions ◽  
Instruction Manual ◽  
Test Article ◽  
Accurate Interpretation ◽  
Key Points ◽  
Pathology Data

This symposium synopsis summarizes key points discussed related to clinical pathology data interpretation for reproduction and juvenile toxicology studies. In pregnant and growing animals, several changes in clinical pathology parameters linked to growth/maturation of organ and physiological functions can occur, and understanding these changes is important to enable accurate interpretation of clinical pathology data. A brief overview of the general approach to clinical pathology data analysis according to contemporary practices is provided, followed by a discussion focused specifically on reproductive and juvenile clinical pathology. In this context, the approach to recognize and differentiate changes that may be related to pregnancy and growth as opposed to those that may be related to test article effects is highlighted.

scholarly journals Improving GPR Imaging of the Buried Water Utility Infrastructure by Integrating the Multidimensional Nonlinear Data Decomposition Technique into the Edge Detection

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3148
Author(s):  
Chih-Sung Chen ◽  
Yih Jeng
Keyword(s):  
Edge Detection ◽  
Hot Spring ◽  
Signal To Noise Ratio ◽  
Data Interpretation ◽  
Ensemble Empirical Mode Decomposition ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Data Reconstruction ◽  
Water Utility ◽  
Edge Detecting

Although ground-penetrating radar (GPR) is effective to detect shallow-buried objects, it still needs more effort for the application to investigate a buried water utility infrastructure. Edge detection is a well-known image processing technique that may improve the resolution of GPR images. In this study, we briefly review the theory of edge detection and discuss several popular edge detectors as examples, and then apply an enhanced edge detecting method to GPR data processing. This method integrates the multidimensional ensemble empirical mode decomposition (MDEEMD) algorithm into standard edge detecting filters. MDEEMD is implemented mainly for data reconstruction to increase the signal-to-noise ratio before edge detecting. A quantitative marginal spectrum analysis is employed to support the data reconstruction and facilitate the final data interpretation. The results of the numerical model study followed by a field example suggest that the MDEEMD edge detector is a competent method for processing and interpreting GPR data of a buried hot spring well, which cannot be efficiently handled by conventional techniques. Moreover, the proposed method should be readily considered a vital tool for processing other kinds of buried water utility infrastructures.

scholarly journals Kohesi dan Koherensi dalam Koran Bisnis Indonesia dengan Judul Kemenperin Jamin Serap Garam Rakyat

2018 ◽  
Vol 1 (1) ◽  
pp. 138-153
Author(s):  
Goziyah Goziyah ◽  
Harninda Rizka Insani
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Data Reduction ◽  
Research Method ◽  
Data Interpretation ◽  
Qualitative Approach ◽  
Analysis Techniques ◽  
Relationship Of ◽  
The Relationship

The objective of this research was to provide an understanding of cohesion and coherence in the newspaper Bisnis Indonesia with title Kemenperin Jamin Serap Garam Rakyat. The research method used is the method of content analysis with a qualitative approach. Data collection techniques using documentation techniques. Data analysis techniques begin with data reduction, data tabulation, data classification, data interpretation, and conclusions. The results show that in the news text in the newspaper Bisnis Indonesia there is a more dominant cohesion found pronouns, ellipsis, and conjunctions or hyphens. Then, the coherence that is found is the relationship of contradictions, general specific relationships, comparison relationships, causal relationships, review relationships, and referral relationships. Keywords: cohesion, coherence, newspapers

scholarly journals PENGGUNAAN ISTILAH ASING PADA SURAT KABAR CETAK DI PROVINSI BANTEN

2020 ◽  
Vol 6 (2) ◽  
pp. 151
Author(s):  
Anitawati Bachtiar
Keyword(s):  
Data Analysis ◽  
Mass Media ◽  
Standard Form ◽  
Equivalent Form ◽  
Data Interpretation ◽  
Ministry Of Education ◽  
National Agency ◽  
School Based ◽  
The Press

According to Law No. 40 of 1999 concerning mass media, press has the function to educate. Moreover, according to Alwi (2011: viii) the language used by the press has more influence than the language used by teachers in school. Based on that, the mass media has an obligation to promote Indonesian language properly and correctly. Proper Indonesian is to use the language in accordance with the communication situation, while using Indonesian correctly is using language in accordance with the rules. The suitability of the rules based on the guidelines recognized and published by the Ministry of Education and Culture’s National Agency for Language Development and Books, namely the General Guidelines for Indonesian Spelling and Indonesian Language, Foreign Language Guidelines and the Large Indonesian Dictionary. This research sought to examine the use of foreign terms in four printed newspaper in Banten Province, namely Radar Banten, Banten News, Banten Post, and Banten Raya which were published in July 2018 with 23 headline news articles. This research employed descriptive qualitative method with data analysis steps, namely (1) listening; (2) identification and classification of data based on the use of foreign terms found; (3) data interpretation; and (4) making conclusions. Based on the results of data analysis, it is found that there are twenty-five (25) data of foreign terms that have been absorped or translated but are not written in the equivalent form or translation. There are also fifteen (15) data that indicate errors in writing based on the standard form of foreign terms that have Indonesian word equivalents and four (4) data that do not have word equivalents but their writing are not in accordance with the guidelines, which must be underlined or italized

The Implications

2019 ◽  
pp. 106-125
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Interpretation ◽  
Data Representation ◽  
Research Data ◽  
Heuristic Inquiry ◽  
Research Experiences ◽  
Doctoral Research ◽  
Data Analyses

This chapter presents current research insights into various forms and representations of the results of self-as-subject data analyses from both expert and doctoral research experiences. Distinctions between heuristic inquiry and autoethnography are highlighted as well as differences between self-as-subject data analysis approaches when compared with convention methods used within other forms of qualitative research. In self-as-subject research, data representation and data interpretation are often also simultaneous or overlap in presentation to illustrate key findings and insights into the phenomenon of inquiry.

scholarly journals IDseq—An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Katrina L Kalantar ◽  
Tiago Carvalho ◽  
Charles F A de Bourcy ◽  
Boris Dimitrov ◽  
Greg Dingle ◽  
...  
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Web Application ◽  
Pathogen Detection ◽  
A Priori ◽  
Virus Detection ◽  
Data Interpretation ◽  
Nasopharyngeal Swab ◽  
Microbial Composition ◽  
Detection And Identification

Abstract Background Metagenomic next-generation sequencing (mNGS) has enabled the rapid, unbiased detection and identification of microbes without pathogen-specific reagents, culturing, or a priori knowledge of the microbial landscape. mNGS data analysis requires a series of computationally intensive processing steps to accurately determine the microbial composition of a sample. Existing mNGS data analysis tools typically require bioinformatics expertise and access to local server-class hardware resources. For many research laboratories, this presents an obstacle, especially in resource-limited environments. Findings We present IDseq, an open source cloud-based metagenomics pipeline and service for global pathogen detection and monitoring (https://idseq.net). The IDseq Portal accepts raw mNGS data, performs host and quality filtration steps, then executes an assembly-based alignment pipeline, which results in the assignment of reads and contigs to taxonomic categories. The taxonomic relative abundances are reported and visualized in an easy-to-use web application to facilitate data interpretation and hypothesis generation. Furthermore, IDseq supports environmental background model generation and automatic internal spike-in control recognition, providing statistics that are critical for data interpretation. IDseq was designed with the specific intent of detecting novel pathogens. Here, we benchmark novel virus detection capability using both synthetically evolved viral sequences and real-world samples, including IDseq analysis of a nasopharyngeal swab sample acquired and processed locally in Cambodia from a tourist from Wuhan, China, infected with the recently emergent SARS-CoV-2. Conclusion The IDseq Portal reduces the barrier to entry for mNGS data analysis and enables bench scientists, clinicians, and bioinformaticians to gain insight from mNGS datasets for both known and novel pathogens.

Essay on Techniques & Physics of Some Diffusion-Controlled Processes in Materials: Relevance to Nanofabrication Applications

2009 ◽  
Vol 289-292 ◽  
pp. 679-686 ◽  
Author(s):  
Yuriy S. Nechaev ◽  
Andreas Öchsner
Keyword(s):  
Data Analysis ◽  
Data Interpretation ◽  
Original Data ◽  
Formation Processes ◽  
Controlled Processes ◽  
Oxidation Processes ◽  
Diffusion Controlled ◽  
Titanium Zirconium ◽  
The Given ◽  
First Time

An annotated analytical essay of possible nanofabrication and nanotechnology applications is presented with respect to: (1) some techniques and original results [1-4] concerning the regularities and micromechanisms (physics) of the hydrogen fluoride gas activator influence on the diffusion-controlled oxidation processes of titanium, zirconium and zirconium-based alloys with niobium, and also – on nitriding, boriding and carbiding a series of refractory metals (Ti, Zr, Nb, Mo, W, Ta); (2) some techniques, original results and physics of the diffusion-controlled formation processes of the compound-like nanosegregation [5-13] and the results [13-23] on the liquid-like phase at grain boundary regions in metals and alloys. In the scope of this review, a constructive analysis, the Arrhenius-type treatment, and the original data interpretation [16-21] has been carried out for the first time; (3) some techniques, original analytical results, and physics [24, 25] of the diffusion-controlled processes of the hydrogen multilayer intercalation (physisorption of a condensation or clustering type) with carbonaceous nanostructures. The main objective of the given analytical essay is to attract the researchers’ attention to the expediency of such a non-conventional data analysis and interpretation.

Fluorimetric Method for the Determination of Trace Amounts of Molybdenum Using 2-Hydroxy-1-Naphthaldehydene-p-Aminotoluene

2014 ◽  
Vol 556-562 ◽  
pp. 584-587 ◽  
Author(s):  
Wei Wei Bian
Keyword(s):  
Detection Limit ◽  
Cation Exchange ◽  
Good Precision ◽  
Pig Liver ◽  
Fluorimetric Method ◽  
Ethanol Medium ◽  
Spectrofluorimetric Method ◽  
Highly Sensitive ◽  
Precision And Accuracy

A new fluorescent reagent, 2-hydroxy-1-naphthaldehydene-p-aminotoluene, was synthesized. The fluorescent reaction of this reagent with molybdenum was studied. Based on this chelation, a highly sensitive spectrofluorimetric method was developed for determination of trace amounts of molybdenum in a water-ethanol medium at pH 6.8. Under these conditions, the Mo-HNA complex has excitation and emission maxima at 300 and 380 nm, respectively. The linear range of the method is 0-2μg/L and the detection limit is 0.62μg/L. Interference of other ions was studied. It is necessary to remove the interfering cations through cation exchange. The procedure can be carried out easily and affords good precision and accuracy. This method has been successfully applied to the determination of molybdenum in pig liver and mussels.

scholarly journals A generalizable method for false-discovery rate estimation in mass spectrometry-based lipidomics

2020 ◽  
Author(s):  
Grant M. Fujimoto ◽  
Jennifer E. Kyle ◽  
Joon-Yong Lee ◽  
Thomas O. Metz ◽  
Samuel H. Payne
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
False Discovery Rate ◽  
Current Method ◽  
Data Interpretation ◽  
Related Field ◽  
Statistical Confidence ◽  
False Discovery ◽  
False Discovery Rate Estimation ◽  
And Function

AbstractMass spectrometry (MS)-based lipidomics is revolutionizing lipid research with high throughput identification and quantification of hundreds to thousands of lipids with the goal of elucidating lipid metabolism and function. Estimates of statistical confidence in lipid identification are essential for downstream data interpretation in a biological context. In the related field of proteomics, a variety of methods for estimating false-discovery are available, and understanding the statistical confidence of identifications is typically required for data analysis and hypothesis testing. However, there is no current method for estimating the false discovery rate (FDR) or statistical confidence for MS-based lipid identifications. This has slowed the adoption of MS-based lipidomics research, as all identifications require manual inspection and validation to ensure their accuracy. We present here the first generalizable method for FDR estimation, a target/decoy approach, that allows those conducting MS-based lipidomics research to confidently adjust spectral score thresholds to minimize false discovery and to enable full automation of data analysis.

scholarly journals Model Kuantum dalam Pembelajaran Bahasa Indonesia

2017 ◽  
Vol 4 (2) ◽  
pp. 213-229
Author(s):  
Vebbi Andra
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Language Learning ◽  
Data Reduction ◽  
Observational Studies ◽  
Data Interpretation ◽  
Quantum Model ◽  
Continuous Increase ◽  
Stages Of Learning ◽  
Bahasa Indonesia

This research is an action research that uses descriptive methods. The technique of collecting data uses observational studies, documentation, and interviews. While data analysis is done by analyzing all available data from various sources, reducing data where data reduction is done by making abstractions, compiling data in units, namely data arranged in categorized units, categories done while making coding, carry out checks on the validity of data, interpretation of data, and conclusions. The results of the study show that the implementation of Indonesian language learning with a quantum model can be said to have succeeded. This can be seen from the results of the tests (evaluations) carried out by the teacher towards students, where the stages of learning that are carried out (starting from the pre-cycle to the first and second cycles) always experience a continuous increase in good value.

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