Time-based Index Research Articles

Rain-t: Daily Rainfall Predictive Model Using 6-Gene Genetic Expression for Historical Data-Based Forecasting

Extreme weather conditions such as heavy rainfalls have been wreaking havoc not only in urban areas but also in an entire watershed. The development of a flood management plan and flood mitigating structures to alleviate the impacts of flooding is very crucial because it needs intensive and continuous historical data. However, missing data due to equipment failure that gathers the rainfall data could be a problem. Rainfall data is not only useful in designing flood mitigating structures but also in planning our day-to-day activities ahead of time. To address this problem, this paper proposes a predictive model which able to forecast in a short lead-time and predict missing data within the dataset. In this paper, three predictive models will be compared namely recurrent neural network, Gaussian processing regression, and the proposed 6-gene genetic expression-based predictive modeling (MGGP). 29-year 24-hour cumulative rainfall data which were sourced in PAGASA Tacloban city weather station, Philippines, was used. The data were cleaned by removing negative values. Two datasets were created, the first (RFDS1) dataset which makes use of three indices (year, month, and days), and the second (RFDS2) dataset which was orchestrated and transformed to increase correlation and reduce prediction errors which had an additional two datasets (ave(t-1,t-2),t-1). Each method used three and five time-based indices. The result shows an erratic behavior of the model from three methods that used the RFDS1, while RFDS2 had a more stable predictive model. This shows that the data orchestration and transformation greatly improved the correlation and reduced errors. However, MGGP showed the best results among the three methods.

A new lane change index for lane change conflicts at weaving segments

Objective Surrogate safety measures provide information about the safety of traffic facilities without waiting for crashes to occur. Most studies related to surrogate safety measures were performed at intersections. Traffic accident statistics show that sideswipe crashes have a considerable percentage of all crashes. Sideswipe crashes arising from lane-change conflicts are highly probable at weaving segments. This study focuses on lane-change conflicts at weaving segments and proposes a new index. Methods Considering the interactions between the subject vehicle and the surrounding vehicles, two new surrogate safety measures, time- and position-based, are recommended. Then, applying a fault tree analysis, these two measures are converted to a lane change risk index to estimate the crash severity. The proposed index is specific to weaving segments. Data from five weaving segments were extracted using deep learning detection and tracking algorithms. Results The results based on the relationship between the proposed indexes and speed showed that the probability and severity of a crash increased as the speed increased. The longer weaving length resulted in smaller values in the time-based index. Conclusions The weaving length is critical because it becomes difficult to perform a lane change if the length is too short. The proposed time and position-based indexes combine the effect of weaving length, stopping distance index, time to collision, and brake time. It is believed that the proposed lane change risk index can be used to detect the safety level of weaving segments.

Bioelectrical impedance analysis of thermal-induced cutaneous nociception

Objective:People perceive different levels of pain at the same stimulus intensity, hence overburdening objective nociception assessment. In the context of recently developed pain monitors, this work presents the analysis of the complex bioimpedance measured during cold-induced cutaneous nociception. Using the Anspec-PRO device, this analysis results in a more complex characterization of the acquired signal (i.e., 3-dimensional or image-based representations), rather than evaluations of one/multiple single-dimension signals (i.e., time-based index). Methods:The experimental protocol consists of thermal testing the nociception response of 13 participants, in terms of impedance changes. Several study cases are performed to evaluate the bioimpedance variability over one day, day to day, and at different stimulus intensities. Results:The measured bioimpedance fluctuations in time were validated against the self-reported pain level of the test subjects. Moreover, the bioimpedance, acting as the frequency response of cold-induced nociception, demonstrated the pain memory effect and the influence on the impedance of the liquid/fat in the body. Conclusion:The impedance analysis can delineate cold-induced nociception effects from nominal states, the impedance spectroscopy proving the potential to monitor the evoked pain. Significance:The implications of this work rely on advancing the state of art for pain detection by using time–frequency analysis and image-based information. Moreover, in closed-loop anesthesia control, the nociception surrogate monitoring provides direct feedback for analgesia and an input–output model to opioids.

Characteristics and clinical implications of premature summation of early and late diastolic filling in patients without tachycardia

Abstract Backgrounds The summation of early (E) and late diastolic filling (A) on mitral inflow Doppler even in the absence of tachycardia is often found during assessments of left ventricular (LV) diastolic function. We evaluated the echocardiographic characteristics and clinical implications of premature E-A summation. Methods We identified 1,014 subjects who showed E-A summation and normal LV ejection fraction between January 2019 and June 2021 in two tertiary hospitals. Among these, 105 (10.4%) subjects showed premature E-A summation at heart rates less than 100 beats per minute (bpm). The conventional echocardiographic parameters and LV global longitudinal strain (GLS) were compared with 1:1 age, sex, and heart rate matched controls without E-A summation. Results The premature E-A summation group had a heart rate of 96.4±3.7 bpm. Only 4 (3.8%) subjects were classified as having LV diastolic dysfunction according to the current guidelines. That group showed prolonged isovolumic relaxation time (107.2±25.3 vs. 61.6±15.6 msec, p<0.001), increased Tei index (0.76±0.19 vs. 0.48±0.10, p<0.001), lower LVEF (63.8±7.0 vs. 67.3±5.6%, p<0.001) and lower absolute LV GLS (|LV GLS|) (17.0±4.2 vs. 19.7±3.3%, p<0.001) than controls. As the E-A summation occurred at lower heart rate, the |LV GLS| was also lower (p for trend=0.002). Conclusions The premature E-A summation at heart rates less than 100 bpm is associated with subclinical LV dysfunction. Time-based indices and LV GLS are helpful for evaluating this easily overlooked population. Funding Acknowledgement Type of funding sources: None.

Associations between Subclinical Myocardial Dysfunction and Premature Fusion of Early and Late Diastolic Filling with Uncertain Cause.

PurposeThe fusion of early (E) and late diastolic filling (A) on mitral inflow Doppler, even in the absence of tachycardia, is often found during assessment of left ventricular (LV) diastolic function. We evaluated the echocardiographic characteristics and clinical implications of premature E-A fusion of uncertain cause in the absence of tachycardia.Materials and MethodsWe identified 1014 subjects who showed E-A fusion and normal LV ejection fraction (LVEF) between January 2019 and June 2021 at two tertiary hospitals. Among these, 105 (10.4%) subjects showed premature E-A fusion at heart rates less than 100 beats per minute (bpm). The conventional echocardiographic parameters and LV global longitudinal strain (GLS) were compared with 1:1 age-, sex-, and heart rate-matched controls without E-A fusion.ResultsThe premature E-A fusion group had a heart rate of 96.4±3.7 bpm. Only 4 (3.8%) subjects were classified as having LV diastolic dysfunction according to current guidelines. The group showed prolonged isovolumic relaxation time (107.2±25.3 msec vs. 61.6±15.6 msec, p<0.001), increased Tei index (0.76±0.19 vs. 0.48±0.10, p<0.001), lower LVEF (63.8±7.0% vs. 67.3±5.6%, p<0.001) and lower absolute LV GLS (|LV GLS|) (17.0±4.2% vs. 19.7±3.3%, p<0.001) than controls. As the E-A fusion occurred at lower heart rate, the |LV GLS| was also lower (p for trend=0.002).ConclusionPremature E-A fusion at heart rates less than 100 bpm is associated with subclinical LV dysfunction. Time-based indices and LV GLS are helpful for evaluating this easily overlooked population.

The Consistency Measurement in Document Publications and Citation Using &amp;lt;i&amp;gt;t&amp;lt;/i&amp;gt;-Index

Recent time handling uncertainty and its measurement is considered as one of the major issues by data science and applied mathematics researchers. It becomes more complex when the dynamicity exists in data sets. One of the suitable examples is Scopus data sets which changes every time. In this case, precise measurement of consistency in document and citation publications is considered as one of the issues. It becomes more complex when the parameter like h-index and document count can be also manipulated over the period of time. To resolve this issue, a time-based index called as “t-index” is illustrated in this paper with an example. This method measures the randomness in document publication and citation using the average h-index and its entropy measurement.

Capsule endoscopy transit-related indicators in choosing the insertion route for double-balloon enteroscopy: a systematic review.

Background and study aims When capsule endoscopy (CE) detects a small bowel (SB) target lesion that may be manageable with enteroscopy, the selection of the insertion route is critical. Time- and progression-based CE indices have been proposed for localization of SB lesions. This systematic review analysed the role of CE transit indicators in choosing the insertion route for double-balloon enteroscopy (DBE). Methods A comprehensive literature search identified papers assessing the role of CE on the choice of the route selection for DBE. Data on CE, criteria for route selection, and DBE success parameters were retrieved and analyzed according to the PRISMA statement. Risk of bias was assessed through the STROBE assessment. The primary outcome evaluated was DBE success rate in reaching a SB lesion, measured as the ratio of positive initial DBE to the number of total DBE. Results Seven studies including 262 CEs requiring subsequent DBE were selected. Six studies used time-based indices and one used the PillCam Progress indicator. SB lesions were identified and insertion route was selected according to a specific cut-off, using fixed landmarks for defining SB transit except for one study in which the mouth-cecum transit was considered. DBE success rate was high in all studies, ranging from 78.3 % to 100 %. Six of seven studies were high quality. Conclusions The precise localization of SB lesions remains an open issue, and larger studies are required to determine the most accurate index for selecting the DBE insertion route. In the future, 3 D localization technologies and tracking systems will be essential to accomplish this tricky task.

Performance Prediction Model for Urban Dual Carriageway Using Travel Time-Based Indices

Performance prediction based on travel time satisfies both the road users and the traffic managers alike to provide information for smooth traffic flow. The present study aims to develop the performance prediction models for the urban dual carriageway link, using travel time-based indices. Planning time index, congestion index, and travel time index are the indices used in this study for the performance prediction. The geometric data, traffic volume count, and travel time data on the seven dual carriageways located in two urban centers of Kerala form the database for this study. Statistical analyses were carried out for the performance evaluation of urban link using travel time-based indices in each study stretch. The traffic flow in the study stretches was found to vary from 114 to 684 PCU/h/m. Nonlinear regression models were developed and validated for predicting the performance of the urban link by considering the traffic flow rate as an independent variable. Of the different model tried, the exponential model gave accurate prediction on performance with travel time-based indices. A model application was made for performance prediction of dual carriageway with considerable variation in traffic flow rate. The developed model can be used to predict the performance of dual carriageway using travel time parameter. The use of travel time-based performance prediction aids the road users to plan their trip well in advance and further can be used for regional transport planning.

Time based versus strain based myocardial performance indices in hypertrophic cardiomyopathy, the merging role of left atrial strain.

The myocardial performance index (MPI) is a time-based index of global myocardial performance. In this study, we sought to compare the prognostic value of the MPI with other strain and remodelling indices in hypertrophic cardiomyopathy (HCM). We enrolled 126 patients with HCM and 50 age- and sex-matched controls. Along with traditional echocardiographic assessment, MPI, left ventricular global longitudinal strain (LVGLS), E/e' ratio, and total left atrial (LA) global strain (LAS) were also measured. Time-based MPI was calculated from flow or tissue-based pulse wave Doppler (PWD and TDI) as the (isovolumic-relaxation and contraction time)/systolic-time. We used hierarchical clustering and network analysis to better visualize the relationship between parameters. The primary endpoint was the composite of all-cause death, heart transplantation, left ventricular assist device implantation, and clinical worsening. Left ventricular outflow tract (LVOT) obstruction was present in 56% of patients. Compared with controls, patients with HCM had worse LVGLS (-14.0 ± 3.4% vs. -19.6 ± 1.5%), higher E/e' (12.9 ± 7.2 vs. 6.1 ± 1.5), LA volume index (LAVI) (36.4 ± 13.8 ml/m2 vs. 25.6 ± 6.7 ml/m2), and MPI (0.55 ± 0.17 vs. 0.40 ± 0.11 for PWD and 0.59 ± 0.22 vs. 0.46 ± 0.09 for TDI) (all P < 0.001). During a median follow-up of 55 months, 47 endpoints occurred. PWD or TDI-based MPI was not associated with outcome, while LAVI, LAS, LVGLS, and E/e' were (all P < 0.01). On multivariable analysis, LVOT obstruction (P < 0.001), LAS (P < 0.001), and E/e' (P = 0.02) were retained as independent associates. They were in different clusters suggesting complemental relationship between them. Time-based index is less predictive of outcome than strain or tissue Doppler indices. LAS may be a promising prognostic marker in HCM.

Automated Transcription and Conversation Analysis

This article explores the potential of automated transcription technology for use in Conversation Analysis (CA). First, it applies auto-transcription to a classic CA recording and compares the output with Gail Jefferson’s original transcript. Second, it applies auto-transcription to more recent recordings to demonstrate transcript quality under ideal conditions. And third, it examines the use of auto-transcripts for navigating big conversational data sets. The article concludes that although standard automated transcription technology lacks certain critical capabilities and exhibits varying levels of accuracy, it may still be useful for (a) providing first-pass transcripts, with silences, for further manual editing; and (b) scaling up data exploration and collection building by providing time-based indices requiring no manual effort to generate. Data are in American English.

Traffic conflicts for road user safety studies

In this paper we advocate an approach to road safety studies in which traffic conflicts are used as indicators of roadway hazard. The critical traffic process event used to define conflict severity is the time to collision, modified by an observer's evaluation of the risk of collision. Field studies were done to assess the validity, reliability, and practicality of traffic conflicts. Experiments were conducted to test the threshold value of time to collision, and to examine a visual perception theory of crash avoidance behaviour. The experiments demonstrate that a time to collision threshold value of 1.5 s is a reasonable time-based index of hazard and that a visual perception model of breaking is a promising concept. The wider potential for traffic conflicts as a measure of driver risk, and as a basis for safety models, is discussed in the paper. The technique has been used for some 45 intersection safety studies. From the application to date it appears that the systematic observation of crash avoidance behaviour of drivers in unsafe conditions provides a useful tool for traffic engineering analysis of intersection traffic control and design problems. Key words: road safety, traffic conflicts, time to collision, driver risk, safety models.