Simulation of an Adaptive Method of Improving the Accuracy and Extending the Range of Frequency Signal Processing in a Frequency-to-Code Converter

The article discusses the modification of one of the basic methods of converting successive periods of a variable frequency signal into numerical values representing them. The method performs the adaptive frequency selection of the clock signal in the system processing the consecutive periods of input signal. The signal processing error is analyzed on an ongoing basis, and the frequency change factor is selected. Algorithms describing the operation of the method are included. The program of the simulator of the measurement channel operation with a frequency carrier of information is described, which allows for the verification of the proposed method. Examples of the simulation results are included.

Increasing the efficiency of technological preparation for the production of the manufacture components equipment for the mineral resource complex

An increase of components production for the equipment intended for oil and gas production is a key factor for analyzing existing technological processes and searching for new technological solutions to improve the efficiency of the production process and the quality of components. The article presents a simulation model designed to determine the rational technological processing parameters for the production of the “Centralizer shell” part. The basis for optimizing the working cycle of a production line is synchronization based on the principle of proportionality, which involves equalizing the duration of all technological operations with the rhythm of the production line. Synchronization of technological operations on the production line is carried out by choosing rational cutting parameters for each technological transition (cutting speed, feedrate, number of working passes). The “Centralizer shell” part is made of titanium alloy VT16, which has high strength, corrosion resistance and ductility. For the part under consideration, the permissible values ​​of the cutting parameters were determined based on the calculation of the total processing error, as well as the frequency of replacement of the worn cutting tool. The simulation model described in the article made it possible to increase the efficiency of the production process due to the synchronization of technological operations and the search for rational technological parameters, as well as to improve the manufacturing quality of the “Centralizer shell” part by analyzing the processing error at various parameters of the technological process.

Introduction

Do research findings apply to an individual case? Although the answer is yes, we are tempted to think that an individual case, for whatever reason, is somehow an exception (we fall prey to a cognitive processing error). We can be flexible when applying an empirically supported treatment (EST). Research findings typically carry more weight than the “features” of the individual. Take the client’s features into account and apply the known-to-be-effective treatment with flexibility... flexibility within fidelity.

Does Contact Tracing Work? Quasi-Experimental Evidence from an Excel Error in England

Contact tracing has been a central pillar of the public health response to the COVID-19 pandemic. Yet, contact tracing measures face substantive challenges in practice and well-identified evidence about their effectiveness remains scarce. This paper exploits quasi-random variation in COVID-19 contact tracing. Between September 25 and October 2, 2020, a total of 15,841 COVID-19 cases in England (around 15 to 20% of all cases) were not immediately referred to the contact tracing system due to a data processing error. Case information had been truncated from an Excel spreadsheet due to a row limit, which was discovered on October 3. There is substantial variation in the degree to which different parts of England areas were exposed - by chance - to delayed referrals of COVID-19 cases to to the contact tracing system. We show that more affected areas subsequently experienced a drastic rise in new COVID-19 infections and deaths alongside an increase in the positivity rate and the number of test performed, as well as a decline in the performance of the contact tracing system. Conservative estimates suggest that the failure of timely contact tracing due to the data glitch is associated with more than 125,000 additional infections and over 1,500 additional COVID-19-related deaths. Our findings provide strong quasi-experimental evidence for the effectiveness of contact tracing.

The DOE JGI Metagenome Workflow

ABSTRACTThe DOE JGI Metagenome Workflow performs metagenome data processing, including assembly, structural, functional, and taxonomic annotation, and binning of metagenomic datasets that are subsequently included into the Integrated Microbial Genomes and Microbiomes (IMG/M) comparative analysis system (I. Chen, K. Chu, K. Palaniappan, M. Pillay, A. Ratner, J. Huang, M. Huntemann, N. Varghese, J. White, R. Seshadri, et al, Nucleic Acids Rsearch, 2019) and provided for download via the Joint Genome Institute (JGI) Data Portal (https://genome.jgi.doe.gov/portal/). This workflow scales to run on thousands of metagenome samples per year, which can vary by the complexity of microbial communities and sequencing depth. Here we describe the different tools, databases, and parameters used at different steps of the workflow, to help with interpretation of metagenome data available in IMG and to enable researchers to apply this workflow to their own data. We use 20 publicly available sediment metagenomes to illustrate the computing requirements for the different steps and highlight the typical results of data processing. The workflow modules for read filtering and metagenome assembly are available as a Workflow Description Language (WDL) file (https://code.jgi.doe.gov/BFoster/jgi_meta_wdl.git). The workflow modules for annotation and binning are provided as a service to the user community at https://img.jgi.doe.gov/submit and require filling out the project and associated metadata descriptions in Genomes OnLine Database (GOLD) (S. Mukherjee, D. Stamatis, J. Bertsch, G. Ovchinnikova, H. Katta, A. Mojica, I Chen, and N. Kyrpides, and T. Reddy, Nucleic Acids Research, 2018).IMPORTANCEThe DOE JGI Metagenome Workflow is designed for processing metagenomic datasets starting from Illumina fastq files. It performs data pre-processing, error correction, assembly, structural and functional annotation, and binning. The results of processing are provided in several standard formats, such as fasta and gff and can be used for subsequent integration into the Integrated Microbial Genome (IMG) system where they can be compared to a comprehensive set of publicly available metagenomes. As of 7/30/2020 7,155 JGI metagenomes have been processed by the JGI Metagenome Workflow.

Verifying Voter Registration Records

This study investigates the reliability of Florida’s voter registration files through a phone survey, asking respondents to verify their records. We find 17.7% of registrants fail to verify at least one identifying piece of information. Applying the total survey error (TSE) framework, we classify these errors as due to coverage error, measurement error, or processing error. These inconsistencies create election administration and campaign inefficiencies, which lead to poorer voter experiences, and challenge the validity of some research based on these data. Furthermore, if registration records do not accurately capture the members of protected groups, the data are less helpful in both government monitoring and enforcement. We suggest voter registration forms should be treated like survey questionnaires so as to improve data quality with better form design, and that some vote overreport bias is attributable to limitations of voter file data, not to respondents’ vote misreporting.

A Four-Probe Method Using Different Probe Spacings for Measurement and Exact Reconstruction of Parallel Profiles

To realize the measurement and exact reconstruction of a pair of parallel profiles, a new scanning method using four displacement sensors as probes and different probe spacings has been invented with the advantage of preventing data processing error. The measuring device is placed between the measured objects and moved by a scanning stage to collect measurement data of both measured profiles. Considering many existing methods, the high lateral resolution of the reconstruction result and the rejection of the data processing error cannot always be achieved at the same time. When the measured profiles are in the short wavelength range, data processing errors are often on the same order of magnitude as the height difference of the measured profiles. The new method can eliminate both the straightness error of the measurement reference and the data processing error. The exact reconstruction retaining the high lateral resolution and without data processing error can be realized by rational position arrangement of sensors and corresponding processing method of the measurement data. The new method possesses the following advantages: (i) achievement of the exact reconstruction without data processing error; (ii) high lateral resolution not limited by probe spacing; (iii) concise operation without zero calibration of probes; and (iv) suitability for on-machine measurement. The feasibility and advantages of the new method were demonstrated by theoretical analyses, simulations, and experimental results.

ANALISIS KESULITAN SISWA DALAM MENYELESAIKAN SOAL CERITA MATERI HIMPUNAN DITINJAU DARI TAHAPAN NEWMAN PADA KELAS VII MTS NEGERI HAMPARAN PERAK T.A 2017/2018

This study aims to analyze the difficulties faced by students in solving story questions on set material in class VII MTs Negeri Hamparan Perak Academic Year 2017/2018. This research is a qualitative descriptive study. In collecting data, the methods used are observation, interview and documentation. In analyzing research data using data exposure, data reduction, and drawing conclusions. The questions used were as many as 4 problems of set stories. Subjects in the study of students of class VII-A State of Hamparan Perak State MTs, amounting to 20 students with selected respondents 3 students in the category of high, medium, and low story problem solving ability. The results showed that the three subjects made errors in transformation (transformation error), processing error (processing error), and error writing the final answer (encoding error). The factor causing this error is because the subject failed in turning the story problem into a mathematical model which results in the subject being wrong in the process of completion, writing the final answer and the existence of a careless factor.