Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to con...Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to convenience, high accuracy, and cost-effectiveness. Manual counting from pre-recorded video footage can be prone to inconsistencies and errors, leading to inaccurate counts. Besides, there are no standard guidelines for collecting video data and conducting manual counts from the recorded videos. This paper aims to comprehensively assess the accuracy of manual counts from pre-recorded videos and introduces guidelines for efficiently collecting video data and conducting manual counts by trained individuals. The accuracy assessment of the manual counts was conducted based on repeated counts, and the guidelines were provided from the experience of conducting a traffic survey on forty strip mall access points in Baton Rouge, Louisiana, USA. The percentage of total error, classification error, and interval error were found to be 1.05 percent, 1.08 percent, and 1.29 percent, respectively. Besides, the percent root mean square errors (RMSE) were found to be 1.13 percent, 1.21 percent, and 1.48 percent, respectively. Guidelines were provided for selecting survey sites, instruments and timeframe, fieldwork, and manual counts for an efficient traffic data collection survey.展开更多
The first decade since the completion of the Human Genome Project has been marked with rapid development of genomic technologies and their immediate clinical applications. Genomic analysis using oligonucleotide array ...The first decade since the completion of the Human Genome Project has been marked with rapid development of genomic technologies and their immediate clinical applications. Genomic analysis using oligonucleotide array comparative genomic hybridization （aCGH） or single nucleotide polymorphism （SNP） chips has been applied to pediatric patients with developmental and intellectual disabilities （DD/ ID）, multiple congenital anomalies （MCA） and autistic spectrum disorders （ASD）. Evaluation of analytical and clinical validities of aCGH showed 〉 99% sensitivity and specificity and increased analytical resolution by higher density probe coverage. Reviews of case series, multi-center comparison and large patient-control studies demonstrated a diagnostic yield of 12%--20%; approximately 60% of these abnormalities were recurrent genomic disorders. This pediatric experience has been extended toward prenatal diagnosis. A series of reports indicated approximately 10% of pregnancies with ultrasound-detected structural anomalies and normal cytogenetic findings had genomic abnormalities, and 30% of these abnormalities were syndromic genomic disorders. Evidence-based practice guidelines and standards for implementing genomic analysis and web-delivered knowledge resources for interpreting genomic findings have been established. The progress from this technology-driven and evidence-based genomic analysis provides not only opportunities to dissect disease-causing mechanisms and develop rational therapeutic interventions but also important lessons for integrating genomic sequencing into pediatric and prenatal genetic evaluation.展开更多
文摘Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to convenience, high accuracy, and cost-effectiveness. Manual counting from pre-recorded video footage can be prone to inconsistencies and errors, leading to inaccurate counts. Besides, there are no standard guidelines for collecting video data and conducting manual counts from the recorded videos. This paper aims to comprehensively assess the accuracy of manual counts from pre-recorded videos and introduces guidelines for efficiently collecting video data and conducting manual counts by trained individuals. The accuracy assessment of the manual counts was conducted based on repeated counts, and the guidelines were provided from the experience of conducting a traffic survey on forty strip mall access points in Baton Rouge, Louisiana, USA. The percentage of total error, classification error, and interval error were found to be 1.05 percent, 1.08 percent, and 1.29 percent, respectively. Besides, the percent root mean square errors (RMSE) were found to be 1.13 percent, 1.21 percent, and 1.48 percent, respectively. Guidelines were provided for selecting survey sites, instruments and timeframe, fieldwork, and manual counts for an efficient traffic data collection survey.
基金supported in part by fellowship award from the China Scholarship Council to Yuan Wei
文摘The first decade since the completion of the Human Genome Project has been marked with rapid development of genomic technologies and their immediate clinical applications. Genomic analysis using oligonucleotide array comparative genomic hybridization （aCGH） or single nucleotide polymorphism （SNP） chips has been applied to pediatric patients with developmental and intellectual disabilities （DD/ ID）, multiple congenital anomalies （MCA） and autistic spectrum disorders （ASD）. Evaluation of analytical and clinical validities of aCGH showed 〉 99% sensitivity and specificity and increased analytical resolution by higher density probe coverage. Reviews of case series, multi-center comparison and large patient-control studies demonstrated a diagnostic yield of 12%--20%; approximately 60% of these abnormalities were recurrent genomic disorders. This pediatric experience has been extended toward prenatal diagnosis. A series of reports indicated approximately 10% of pregnancies with ultrasound-detected structural anomalies and normal cytogenetic findings had genomic abnormalities, and 30% of these abnormalities were syndromic genomic disorders. Evidence-based practice guidelines and standards for implementing genomic analysis and web-delivered knowledge resources for interpreting genomic findings have been established. The progress from this technology-driven and evidence-based genomic analysis provides not only opportunities to dissect disease-causing mechanisms and develop rational therapeutic interventions but also important lessons for integrating genomic sequencing into pediatric and prenatal genetic evaluation.
