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Journal articles on the topic 'Step duration detection'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Micó-Amigo, M. Encarna, Idsart Kingma, Erik Ainsworth, et al. "A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly." Journal of NeuroEngineering and Rehabilitation 13, no. 1 (2016): 38. https://doi.org/10.1186/s12984-016-0145-6.

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<strong>Background: </strong>The assessment of short episodes of gait is clinically relevant and easily implemented, especially given limited space and time requirements. BFS (body-fixed-sensors) are small, lightweight and easy to wear sensors, which allow the assessment of gait at relative low cost and with low interference. Thus, the assessment with BFS of short episodes of gait, extracted from dailylife physical activity or measured in a standardised and supervised setting, may add value in the study of gait quality of the elderly. The aim of this study was to evaluate the accuracy of a nov

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Cheng, T.-J., B. Yang, C. Holloway, and N. Tyler. "Effect of environmental factors on how older pedestrians detect an upcoming step." Lighting Research & Technology 50, no. 3 (2016): 405–15. http://dx.doi.org/10.1177/1477153516669968.

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The relationships between environmental features and older people's ability to safely move around a complex pedestrian environment are, as yet, poorly understood. Specifically, the impact of light levels on trip hazard detection during walking has received relatively little attention. This study investigates the effect of illuminance on people's ability to detect steps of different heights in a laboratory-based controlled environment. Sixteen young and 15 older participants walked along a 13.2 m walkway towards an either ascending or descending step at 200 lux or 4 lux light levels. Trial time

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Srihari, Vinod, Maria Ferrara, Emily Kline, et al. "O1.2. REDUCING THE DURATION OF UNTREATED PSYCHOSIS IN A U.S. CATCHMENT: THE MINDMAP CAMPAIGN." Schizophrenia Bulletin 46, Supplement_1 (2020): S1. http://dx.doi.org/10.1093/schbul/sbaa028.001.

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Abstract Background The Specialized Treatment Early in Psychosis (STEP) program has delivered a specialty-team based first-episode service (FES) since 2006 in New Haven. In 2015, STEP launched a 4-year early detection (ED) campaign (Mindmap), adapted from the Scandinavian TIPS approach, to shorten Duration of Untreated Psychosis (DUP) in a 10-town catchment (popn. 400,000). Methods Mindmap’s social-ecological model targeted demand (delays in identifying illness and help-seeking) and supply (delays in referring to and providing FES) side constituents of DUP. Mindmap used mass and social media m

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Ghafi, Hamid Kavousi, Roman Lesjak, Günther Obertaxer, Michael Schönhuber, Alexander Falk, and Holger Arthaber. "Characterization and Early Awareness of Interference in GNSS L1/E1 Band using an Outlier Detection Algorithm." TRANSACTIONS ON ELECTROMAGNETIC SPECTRUM 2, no. 1 (2023): 19–24. https://doi.org/10.5281/zenodo.7700070.

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One of the emerging challenges in the Global Navigation Satellite System (GNSS) is the vulnerability to radio frequency interference (RFI). The first step to deal with this problem is to identify and characterize the interference signals. In this work, we propose a combination of an outlier detection method and a time duration threshold checking to effectively detect and characterize RFIs in the GNSS L1/E1 band. The method is applied to the data recorded from a measurement campaign near the A9 highway in the southern part of Graz, Austria. During 6 hours of recording, three moving interference

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Wang, Xue-gui, Siu-ming Lo, and He-ping Zhang. "Influence of Feature Extraction Duration and Step Size on ANN based Multisensor Fire Detection Performance." Procedia Engineering 52 (2013): 413–21. http://dx.doi.org/10.1016/j.proeng.2013.02.162.

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Wang, Xu, Linghua Zhang, Qin Cheng, and Feng Shu. "MoSeFi: Duration Estimation Robust Human Motion Sensing via Commodity WiFi Device." Wireless Communications and Mobile Computing 2022 (November 4, 2022): 1–19. http://dx.doi.org/10.1155/2022/1690602.

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Accurate motion interval segmentation is the basic and crucial step in the advanced human perception based on WiFi signals. However, previous works have rarely considered motion duration, which is one of the important parameters for complete description of human motion. On this basis, we deeply investigate the properties of the CSI ratio from the perspective of Mobius transformation and construct a novel motion indicator using its complementary real and imaginary parts. The new indicator can attenuate the impact of motion fragmentation under short-window conditions and significantly reduce the

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Dot, Tristan, Flavien Quijoux, Laurent Oudre, et al. "Non-Linear Template-Based Approach for the Study of Locomotion." Sensors 20, no. 7 (2020): 1939. http://dx.doi.org/10.3390/s20071939.

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The automatic detection of gait events (i.e., Initial Contact (IC) and Final Contact (FC)) is crucial for the characterisation of gait from Inertial Measurements Units. In this article, we present a method for detecting steps (i.e., IC and FC) from signals of gait sequences of individuals recorded with a gyrometer. The proposed approach combines the use of a dictionary of templates and a Dynamic Time Warping (DTW) measure of fit to retrieve these templates into input signals. Several strategies for choosing and learning the adequate templates from annotated data are also described. The method

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Urtecho, Louis, Siddharth Krishnamoorthy, Elizabeth Berg, et al. "Automated detection of dust-devil-induced pressure signatures." Journal of the Acoustical Society of America 152, no. 4 (2022): A164. http://dx.doi.org/10.1121/10.0015897.

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Dust devils are common on Mars and in Earth’s arid regions. On Mars, studying the dust devil population is important for understanding dust loading of the Martian climate and has important consequences for robotic and future human exploration. Studying dust devils on Mars is difficult due to insufficient spatio-temporal coverage. Our team is analyzing an infrasound dataset encompassing 7 years of data recorded at the Nevada Nuclear Security Site in the Mojave desert, to identify and characterize terrestrial dust devils as analogues for Martian dust devils. However, the size of this long-durati

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WANG, HONGYE, ZHAO CHEN, and XIUPING JIANG. "Improving the Enrichment and Plating Methods for Rapid Detection of Non-O157 Shiga Toxin–Producing Escherichia coli in Dairy Compost." Journal of Food Protection 79, no. 3 (2016): 413–20. http://dx.doi.org/10.4315/0362-028x.jfp-15-249.

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ABSTRACT A culture method to detect non-O157 Shiga toxin–producing Escherichia coli (STEC) was optimized in this study. The finished dairy compost with 30% moisture content was inoculated with a cocktail of six non-O157 STEC serovars at initial concentrations of 1 to 100 CFU/g. Afterward, non-O157 STEC cells in the inoculated dairy compost were enriched by four methods, followed by plating onto cefixime-tellurite sorbitol MacConkey agar supplemented with 5 mg/liter novobiocin (CTN-SMAC) and modified Rainbow agar containing 5 mg/liter novobiocin, 0.05 mg/liter cefixime trihydrate, and 0.15 mg/l

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Srajal, Kumar Shakya, and Soni Swati. "Plant Disease Detection using Machine Learning Algorithm." International Journal of Scientific Research and Engineering Development 8, no. 1 (2025): 311–16. https://doi.org/10.5281/zenodo.14729072.

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In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases. As human beings are still tracking crop disease, human visual vision is used for diagnosing plant disease. Machine learning and image processing methods are also ideally suited to this end. In this study, the processing of diseased pictures of plant leaf is taken into account. The work focuses on the identific

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Егоров, С. Б., and Р. И. Горбачев. "Probability characteristics and sensitivity of wideband noise-like signal detector with duration selectivity." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII), no. 4(50) (November 23, 2020): 176–83. http://dx.doi.org/10.37220/mit.2020.50.4.060.

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Для широкополосного обнаружителя шумового сигнала с квадратором и селекторами сигнала по уровню и длительности разработана методика определения порогов селекции по уровню и длительности, если задана вероятность ложной тревоги на максимально возможном интервале ожидания сигнала. В основе методики – применение «выбросовой» вероятностной модели работы обнаружителя в режиме ожидания и использование многомерной функции распределения вероятностей нормализованного помехового индикаторного процесса. Получена вероятностная характеристика обнаружения и изложена методика оценки чувствительности двухселек

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Cogan, Alexander I. "Anatomy of a Flash. 2. The ‘Width’ of a Temporal Edge." Perception 21, no. 2 (1992): 167–76. http://dx.doi.org/10.1068/p210167.

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In a previous study it has been found by using the Crawford masking paradigm with spatially coextensive stimuli that the end points of even a weak flash have a strong masking effect on the probe pulse, but no threshold elevation was observed when the probe was 100 ms or longer from flash onset and offset. The relationship between the strength of a temporal edge (eg the amplitude of a sudden increase in field luminance) and the duration of masking has not been systematically investigated. In the present experiments the duration of masking produced by a step of luminance as a function of step si

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Kusuma, Gede Putra, Angelica Faustine, and Nikolas Nasi. "Identity Card Detection System using YOLOv3 and Image Rectification." International Journal of Emerging Technology and Advanced Engineering 12, no. 2 (2022): 167–73. http://dx.doi.org/10.46338/ijetae022_20.

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— In the age of modern technology like today, object detection is something that is really needed. Object detection is done by considering the type of data collected. This research focused on Identity card detection from an input image taken by a smartphone camera. The Identity card detection is a preliminary step toward automatic identity data collection. Identity data collection is usually performed in a conventional way. This way leads to several problems such as bad data result, unreliable data verification, and long duration on confirming data validity. In this project, we will make an ob

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Qian, Wenbin, Junqing Liu, and Jie Jin. "Detection of Aspergillus Species in Blood of Malignant Hemotopoietic Tumor Patients by Two-Step PCR." Blood 106, no. 11 (2005): 4626. http://dx.doi.org/10.1182/blood.v106.11.4626.4626.

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Abstract Objective To investigate the sensitivity and specificity of two-step PCR in detection of aspergillus species in blood from malignant hemotopoietic tumor patients. Methods Forty-one blood samples from patients at high-risk for invasive fungal disease were detected by two-step PCR. The clinic applicability of two-step PCR for systemic aspergillosis diagnosis was assessed by analyzing computed tomography, aspergillus culture, neutropenia and outcome after anti-fungal therapy. Results Specific band of PCR was obtained from aspergillus strains and the products of PCR had a high homogeneous

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Ramli, Albara Ah, Xin Liu, Kelly Berndt, et al. "Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach." Sensors 24, no. 4 (2024): 1155. http://dx.doi.org/10.3390/s24041155.

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Estimation of temporospatial clinical features of gait (CFs), such as step count and length, step duration, step frequency, gait speed, and distance traveled, is an important component of community-based mobility evaluation using wearable accelerometers. However, accurate unsupervised computerized measurement of CFs of individuals with Duchenne muscular dystrophy (DMD) who have progressive loss of ambulatory mobility is difficult due to differences in patterns and magnitudes of acceleration across their range of attainable gait velocities. This paper proposes a novel calibration method. It aim

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Sailaja, Mrs K. Swetha, Bugga Sai Teja, Bingi Kumara Swamy, and Madasu Vijay Bhaskar. "Enhanced Space Habitat: Multi Sensor Climate Control for Long Duration Missions." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–6. https://doi.org/10.55041/isjem02313.

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This innovation introduces a next-generation autonomous space shuttle equipped with an advanced environmental regulation system, designed to maintain optimal living conditions in the extreme environment of space. At the core of this innovation lies an Arduino Uno microcontroller, which processes real-time data from a diverse array of sensors. These include the DHT11 for temperature and humidity, an LDR for light intensity, and newly integrated CO2, pressure, and radiation sensors. This expanded sensor network enables comprehensive monitoring of the shuttle’s internal environment, ensuring prec

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Amini, Amir, Khachik Babaians, and Mohsen Gharesi. "Selective Hydrogen Detection in a Highly Contaminated Background Using only a Single Generic Metal Oxide Gas Sensor." Key Engineering Materials 543 (March 2013): 109–12. http://dx.doi.org/10.4028/www.scientific.net/kem.543.109.

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Detection of highly ppm range hydrogen concentration in atmospheres contaminated with various volatile organic compounds is in demand for numerous applications. Different devices and techniques have been applied for the problems which are mostly based on utilization of hydrogen permeable membranes. Here, we have used a single generic metal oxide gas sensor for this task. No filter or membrane is utilized. The operating temperature of the sensor is modulated with a voltage waveform specifically designed for producing step-like temperature changes on the oxide pallet. By applying four different

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A. Vijayaraj, Et al. "Skin Cancer Detection in Deep Learning Using Restnet-50 Model." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2603–14. http://dx.doi.org/10.17762/ijritcc.v11i9.9333.

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Pore and skin cancers are one of the riskiest types of cancer. DNA is a type of nucleic acid. Breaks in skin cells that do non get fixed cause genetic flaws or mutations in the skin, which is how skin malignancies develop. Pores and skin cancers have the inclination to step by step spread over different bits components, so i curable in initial ranges, which is why it's far more peasant to detect at early ranges. Due to the increased prevalence of skin cancer, its high mortality rate, and the high price of medical treatments, it is crucial to understand the early warning studies signs of skin c

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Gao, Zhigang, Zongzheng Chen, Jiu Deng, et al. "Measurement of Carcinoembryonic Antigen in Clinical Serum Samples Using a Centrifugal Microfluidic Device." Micromachines 9, no. 9 (2018): 470. http://dx.doi.org/10.3390/mi9090470.

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Carcinoembryonic antigen (CEA) is a broad-spectrum tumor marker used in clinical applications. The primarily clinical method for measuring CEA is based on chemiluminescence in serum during enzyme-linked immunosorbent assays (ELISA) in 96-well plates. However, this multi-step process requires large and expensive instruments, and takes a long time. In this study, a high-throughput centrifugal microfluidic device was developed for detecting CEA in serum without the need for cumbersome washing steps normally used in immunoreactions. This centrifugal microdevice contains 14 identical pencil-like un

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Gabry, Mohamed Adel, Ibrahim Eltaleb, Mohamed Y. Soliman, and S. M. Farouq-Ali. "Validation of Estimating Stress from Fracture Injection Tests Using Continuous Wavelet Transform with Experimental Data." Energies 16, no. 6 (2023): 2807. http://dx.doi.org/10.3390/en16062807.

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The article discusses the new technique for fracture closure pressure detection using continuous wavelet transform (CWT). The study focuses on calibrating the CWT technique and comparing it with different techniques for closure detection. According to the article, traditional methods for identifying the closure of hydraulic fracturing operations are based on assumptions that can conflict with one another, resulting in greatly varying approximations of closure pressure and duration. To address this issue, the article employs a set of diagnostic fracture injection tests that utilize the Step-Rat

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WESTHEIMER, GERALD. "Visual signals used in time-interval discrimination." Visual Neuroscience 17, no. 4 (2000): 551–56. http://dx.doi.org/10.1017/s095252380017405x.

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Thresholds for the detection of differences in the duration of visual stimuli were determined for a variety of programs of stimulus onset and offset. Performance suffers when a time interval begins with an ON step and ends with another ON stimulus, compared to the standard ON–OFF stimulation, but the decrement is reversed when the light is ramped down to background during the interval. Neither the magnocellular nor the parvocellular streams can be excluded because there is relatively little impairment of duration discrimination when the stimulus has low contrast or is heterochromatic at isolum

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DAOUD, BOUTANA, KOURAS NAYAD, BARKAT BRAHAM, and BENIDIR MESSAOUD. "HEART MURMURS DETECTION AND CHARACTERIZATION USING WAVELET ANALYSIS WITH RENYI ENTROPY." Journal of Mechanics in Medicine and Biology 17, no. 06 (2017): 1750093. http://dx.doi.org/10.1142/s0219519417500932.

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Phonocardiogram signals (PCGs) represent a nonstationary signal due to their complicated production. Also, during the registration they may be added with different noise and pathological murmurs. Indeed, in real situation, the heart sound signal (HSs) may present some abnormal murmur characterizing a variety of heart diseases. This work deals with the segmentation of pathological PCGs based on the Discrete Wavelet Transform (DWT) which permits signal decomposition in different frequency bands. After the decomposition step, we estimate the Renyi Entropy (RE) of the detail coefficients. Then, we

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Zhong, Yulu, Xiyuan Chen, Ning Gao, and Zhiyuan Jiao. "In-Motion Alignment with MEMS-IMU Using Multilocal Linearization Detection." Sensors 25, no. 9 (2025): 2645. https://doi.org/10.3390/s25092645.

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In-motion alignment is a critical step in obtaining the initial state of an integrated navigation system. This article considers the in-motion initial alignment problem using the multilocal linearization detection method. In contrast to the OBA-based method, which fully relies on satellite signals to estimate the initial state of the Kalman filter, the proposed method utilizes the designed quasi-uniform quaternion generation method to estimate several possible initial states. Then, the proposed method selects the most probable result based on the generalized Schweppe likelihood ratios among mu

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Falbriard, Mathieu, Maurice Mohr, and Kamiar Aminian. "Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensors." Sensors 20, no. 2 (2020): 354. http://dx.doi.org/10.3390/s20020354.

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This research aimed to determine whether: (1) shoe-worn magnetic and inertial sensors can be used to detect hurdle clearance and identify the leading leg in 400-m hurdles, and (2) to provide an analysis of the hurdlers’ spatiotemporal parameters in the intervals defined by the hurdles’ position. The data set is composed of MIMU recordings of 15 athletes in a competitive environment. The results show that the method based on the duration of the flight phase was able to detect hurdle clearance and identify the leading leg with 100% accuracy. Moreover, by combining the swing phase duration with t

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Bagna, Maimouna, and Laurent J. Bouyer. "A new approach for detecting and analyzing cutaneous reflexes during locomotion." Journal of Neurophysiology 105, no. 3 (2011): 1406–15. http://dx.doi.org/10.1152/jn.01095.2009.

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During human walking, due to their small amplitude, individual cutaneous reflex responses are difficult to detect in surface EMG recordings. In this study, we present a new algorithm to automatically detect individual cutaneous reflex responses and to extract their corresponding onset latency, amplitude, duration, and sign. To discriminate reflex responses from the intrinsic variability of the background EMG, each stimulated cycle is compared with 10 adjacent nonstimulated cycles, looking for consistent differences. In the first 200 ms after stimulation, reflex responses are detected when ≥9/1

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Przepiorka, D., and D. Myerson. "A single-step silver enhancement method permitting rapid diagnosis of cytomegalovirus infection in formalin-fixed, paraffin-embedded tissue sections by in situ hybridization and immunoperoxidase detection." Journal of Histochemistry & Cytochemistry 34, no. 12 (1986): 1731–34. http://dx.doi.org/10.1177/34.12.3023477.

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A single-step silver enhancement method was developed which intensifies the polymerized nickel-complexed diaminobenzidine (Ni-DAB) reaction product of peroxidase. With such enhancement, an in situ hybridization procedure can be performed in less than 8 hr by using a 2-hr hybridization incubation and direct detection. Cytomegalovirus (CMV)-infected lung sections were hybridized in situ for 2 hr with a biotinylated CMV genomic-length probe. The probe was detected directly with avidin-biotinylated peroxidase using Ni-DAB as the substrate, and the reaction product was enhanced with silver. Silver

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Mikhailova, Yu V., N. V. Chepurchenko, and A. P. Obriadina. "Detection frequency and duration of circulating antiphospholipid syndrome markers in patients with verified COVID-19." Obstetrics, Gynecology and Reproduction 18, no. 2 (2024): 180–87. http://dx.doi.org/10.17749/2313-7347/ob.gyn.rep.2024.504.

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Aim: to develop enzyme-linked immunosorbent tests for assessing the antiphospholipid syndrome (APS) markers and determine prevalence of three antiphospholipid antibody (aPL) types at different COVID-19 stages. Materials and Methods. A comparative longitudinal controlled study was conducted by examining 120 subjects with COVID-19 diagnosis verified by reverse transcription polymerase chain reaction. Donor serum samples collected before November 2019 were used as a control group. The laboratory study included measurement of IgA, IgM and IgG against β2-glycoprotein 1 (β2-GP1), cardiolipin, phosph

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Haussler, Allison M., Lauren E. Tueth, David S. May, Gammon M. Earhart, and Pietro Mazzoni. "Refinement of an Algorithm to Detect and Predict Freezing of Gait in Parkinson Disease Using Wearable Sensors." Sensors 25, no. 1 (2024): 124. https://doi.org/10.3390/s25010124.

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Freezing of gait (FOG) is a debilitating symptom of Parkinson disease (PD). It is episodic and variable in nature, making assessment difficult. Wearable sensors used in conjunction with specialized algorithms, such as our group’s pFOG algorithm, provide objective data to better understand this phenomenon. While these methods are effective at detecting FOG retrospectively, more work is needed. The purpose of this paper is to explore how the existing pFOG algorithm can be refined to improve the detection and prediction of FOG. To accomplish this goal, previously collected data were utilized to a

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Mišković, Milan, Nenad Vukmirović, Dragan Golubović, and Miljko Erić. "Method for Direct Localization of Multiple Impulse Acoustic Sources in Outdoor Environment." Electronics 11, no. 16 (2022): 2509. http://dx.doi.org/10.3390/electronics11162509.

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A method for the direct outdoor localization of multiple impulse acoustic sources by a distributed microphone array is proposed. This localization problem is of great interest for gunshot, firecracker and explosion detection localization in a civil environment, as well as for gun, mortar, small arms, artillery, sniper detection localization in military battlefield monitoring systems. Such a kind of localization is a complicated technical problem in many aspects. In such a scenario, the permutation of impulse arrivals on distributed microphones occurs, so the application of classical two-step l

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Akopyan, В. K. "Algorithm for Detecting Reference Points on a Digital Electrocardiogram in Real Time." Proceedings of Telecommunication Universities 10, no. 6 (2024): 46–54. https://doi.org/10.31854/1813-324x-2024-10-6-46-54.

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Relevance. The use of digital electrocardiographs and cardiac monitors with built-in algorithms for automatic processing, analysis and interpretation of electrocardiograms allows the doctor to effectively diagnose cardiac arrhythmias. It is known that in order to provide emergency care to a patient, the duration of arrhythmia diagnostics should not exceed several tens of seconds, which requires the emergence of new algorithms for detecting informative features indicating arrhythmia, operating in real time. The need to introduce new and effective technologies for diagnosing cardiovascular disea

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Vikrant, Sharma, Kumar Deepak, Dhull Divya, Kaushik Sulochana, Parkash Yadav Jaya, and Kaushik Samander. "Molecular Detection of Hepatitis C Virus (HCV) by Conventional One-step RT-PCR Coupled with Nested PCR." International Blood Research & Reviews 7, no. 2 (2017): 1–6. https://doi.org/10.9734/IBRR/2017/34463.

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<strong>Aims:</strong> HCV causes both acute and chronic infections and can be easily transmitted through contaminated blood or other body fluids. The present study deals with the molecular detection of HCV with help of one-step RT-PCR assay followed by nested PCR and agarose gel electrophoresis. <strong>Study Design:</strong> RNA extracted from the confirmed positive samples of HCV was utilized for the standardization of the one-step RT-PCR assay and nested PCR assay for diagnosis of HCV. <strong>Place and Duration of Study:</strong> Centre for Biotechnology, Maharshi Dayanand University, Roh

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Dubatovka, Alina, and Joachim M. Buhmann. "Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle." BME Frontiers 2022 (May 2, 2022): 1–12. http://dx.doi.org/10.34133/2022/9813062.

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Objective and Impact Statement. Atrial fibrillation (AF) is a serious medical condition that requires effective and timely treatment to prevent stroke. We explore deep neural networks (DNNs) for learning cardiac cycles and reliably detecting AF from single-lead electrocardiogram (ECG) signals. Introduction. Electrocardiograms are widely used for diagnosis of various cardiac dysfunctions including AF. The huge amount of collected ECGs and recent algorithmic advances to process time-series data with DNNs substantially improve the accuracy of the AF diagnosis. DNNs, however, are often designed as

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Morschhauser, F., J. M. Cayuela, S. Martini, et al. "Evaluation of Minimal Residual Disease Using Reverse-Transcription Polymerase Chain Reaction in t(8;21) Acute Myeloid Leukemia: A Multicenter Study of 51 Patients." Journal of Clinical Oncology 18, no. 4 (2000): 788. http://dx.doi.org/10.1200/jco.2000.18.4.788.

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PURPOSE: Most studies using various reverse-transcription polymerase chain reaction (RT-PCR) techniques reported that the detection of the AML1-ETO fusion transcript was a common finding in long-term complete remission (CR) in acute myeloid leukemia (AML) with t(8;21) translocation. However, larger prospective studies with interlaboratory quality control may be important to investigate more precisely the clinical usefulness of studying minimal residual disease with RT-PCR in t(8;21) AML. PATIENTS AND METHODS: We collected 223 marrow samples from 51 patients with t(8;21) AML diagnosed in five c

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Bartel, David C., and A. Becker. "Time‐domain electromagnetic detection of a hidden target." GEOPHYSICS 53, no. 4 (1988): 537–45. http://dx.doi.org/10.1190/1.1442485.

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Numerical modeling of the time‐domain electromagnetic (EM) step response of a vertical tabular target hidden beneath a thin conductive overburden reveals that the target’s presence may be detected only during a well‐defined time window. In a situation where the secondary magnetic field is sensed by an airborne system equipped with horizontal coaxial dipoles, a conductance contrast of about ten between the target and the overburden is needed to ensure target detection. This value will, of course, vary with the size and depth of the target and, to a lesser extent, with the geometry of the system

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Brenier-Pinchart, Marie-Pierre, Emmanuelle Varlet-Marie, Florence Robert-Gangneux, et al. "Impact of pre-analytic step duration on molecular diagnosis of toxoplasmosis for five types of biological samples." PLOS ONE 16, no. 2 (2021): e0246802. http://dx.doi.org/10.1371/journal.pone.0246802.

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Introduction Toxoplasma-PCR is essential to diagnose ocular, cerebral, disseminated and congenital toxoplasmosis. This multicenter study evaluated the impact of sample storage duration at +4°C on PCR assay performances in order to propose guidelines for the storage of samples during shipment or/and before PCR. Materials and methods Five matrices, amniotic (AF), cerebrospinal (CSF), and bronchoalveolar lavage fluids (BALF), whole blood (WB) and buffy coat (BC), were artificially spiked with different amounts of Toxoplasma gondii (20, 100, 500 tachyzoites per mL of sample) or with previously inf

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Queiroz, Paulo Roberto, Maria Cléria Valadares-Inglis, and Peter Ward Inglis. "Survival in soil and detection of co-transformed Trichoderma harzianum by nested PCR." Pesquisa Agropecuária Brasileira 39, no. 4 (2004): 403–5. http://dx.doi.org/10.1590/s0100-204x2004000400015.

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The objective of this work was to evaluate the survival of two Trichoderma harzianum co-transformants, TE 10 and TE 41, carrying genes for green fluorescent protein (egfp) and for resistance to benomyl, during four weeks in a contained soil microcosm. Selective culture media were used to detect viable fungal material, whose identity was confirmed by the observation of the fluorescent phenotype by direct epifluorence microscopy. PCR using two nested primer pairs specific to the egfp gene was also used to detect the transformed fungi. Although it was not possible to reliably detect the egfp gene

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Holliman, R. E., R. Raymond, N. Renton, and J. D. Johnson. "The diagnosis of toxoplasmosis using IgG avidity." Epidemiology and Infection 112, no. 2 (1994): 399–408. http://dx.doi.org/10.1017/s0950268800057812.

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SUMMARYCurrent methods to establish the duration of toxoplasma infection in pregnant women and for the diagnosis of toxoplasmosis in the neonate or HIV infected patient have significant limitations. We assessed the precision of a commercial ELISA for the detection of toxoplasma specific IgG and adapted the assay to measure avidity using an elution agent washing step. The sensitivity and specificity of the ELISA were 100 and 75 % respectively and optimal measurement of avidity was achieved using 6 M urea as the elution agent.Toxoplasma lymphadenopathy of less than 3 months duration was associat

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Boukli, Narjis, Anders Boyd, Noémie Wendremaire, Pierre-Marie Girard, Julie Bottero, and Laurence Morand-Joubert. "Sensitivity of the STAT-VIEW rapid self-test and implications for use during acute HIV infection." Sexually Transmitted Infections 94, no. 7 (2017): 475–78. http://dx.doi.org/10.1136/sextrans-2017-053131.

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ObjectivesHIV testing is an important step towards diminishing incident infections. Rapid self-tests whose use is becoming more common in France could help increase access to testing, yet could fail to diagnose HIV during acute HIV infection (AHI). The aim of the present study was to evaluate HIV-detection sensitivity of a commonly used rapid self-test (STAT-VIEW HIV1/2), compared with another point-of-care rapid test (INSTI), among patients presenting with AHI.MethodsIndividuals tested at Saint-Antoine Hospital (Paris, France) with negative or indeterminate western blot (WB) results and detec

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Praja Dwitama, Anandita, I. Gusti Ngurah Janardana, and I. Wayan Arta Wijaya. "RANCANG BANGUN PROTOTIPE PEMANTAU KEBOCORAN GAS MENGGUNAKAN SENSOR MQ-6 BERBASIS NodeMCU 8266." Jurnal SPEKTRUM 8, no. 1 (2021): 9. http://dx.doi.org/10.24843/spektrum.2021.v08.i01.p2.

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Liquefied Petroleum Gas (LPG) leak detection and monitoring system is a step to anticipatethe danger of gas leaks. BPBD data for 2016 - 2020 fires due to LPG gas leakage are 50 cases,handling is still manual. The design of this prototype uses the Arduino NodeMCU 8266 module as themain controller. The sensor used by the MQ-6 sensor is suitable for detecting propane and butanegas in LPG. In order for the sensor to work optimally the sensor is set at a distance of 10 cm from thegas source. The prototype uses a solenoid valve which is a valve controlled with AC or DC electriccurrents through the s

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Ehnert, Linnemann, Braun, et al. "One-Step ARMS-PCR for the Detection of SNPs—Using the Example of the PADI4 Gene." Methods and Protocols 2, no. 3 (2019): 63. http://dx.doi.org/10.3390/mps2030063.

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In eukaryotes, cellular functions are tightly controlled by diverse post-translational modifications (PTMs) of proteins. One such PTM affecting many proteins is the deimination of arginine to citrulline. This process, called citrullination is catalyzed by a group of hydrolases called protein arginine deiminases (PADs), of which five isoforms have been identified. Hypercitrullination, as a result of increased PAD expression or activity, is associated with autoimmune diseases e.g., rheumatoid arthritis, lupus, Alzheimer’s disease, ulcerative colitis, multiple sclerosis, and certain cancers. Thre

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Mandić, Ana, Viktor Kosin, Clément Jailin, Zvonimir Tomičević, Benjamin Smaniotto, and François Hild. "Damage Detection in a Polymer Matrix Composite from 4D Displacement Field Measurements." Materials 16, no. 18 (2023): 6300. http://dx.doi.org/10.3390/ma16186300.

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Standard Digital Volume Correlation (DVC) approaches enable quantitative analyses of specimen deformation to be performed by measuring displacement fields between discrete states. Such frameworks are thus limited by the number of scans (due to acquisition duration). Considering only one projection per loading step, Projection-based Digital Volume Correlation (P-DVC) allows 4D (i.e., space and time) full-field measurements to be carried out over entire loading histories. The sought displacement field is decomposed over a basis of separated variables, namely, temporal and spatial modes. In the p

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Ji, Yiming, Alyssa D. Marian, and Eric W. Montie. "Deep-Learning-Based detection of recreational vessels in an estuarine soundscape in the May River, South Carolina, USA." PLOS ONE 19, no. 7 (2024): e0302497. http://dx.doi.org/10.1371/journal.pone.0302497.

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This paper presents a deep-learning-based method to detect recreational vessels. The method takes advantage of existing underwater acoustic measurements from an Estuarine Soundscape Observatory Network based in the estuaries of South Carolina (SC), USA. The detection method is a two-step searching method, called Deep Scanning (DS), which includes a time-domain energy analysis and a frequency-domain spectrum analysis. In the time domain, acoustic signals with higher energy, measured by sound pressure level (SPL), are labeled for the potential existence of moving vessels. In the frequency domain

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Ravi Kumar, K., and Prof P. Rajesh Kumar. "Implementation of Multi-Objective Grey Wolf Optimizer to Minimize The Sidelobes And Reduce Mainlobe Width." International Journal of Engineering & Technology 7, no. 2.20 (2018): 219. http://dx.doi.org/10.14419/ijet.v7i2.20.13299.

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Range resolution in radar can be achieved by splitting the long pulse of high energy into the high bandwidth of short pulses using pulse compression technique. Frequency modulation (Linear frequency modulation (LFM)) signal is used to improve range resolution. To get better range resolution, frequency step is introduced between a train of LFM pulses known as stepped frequency pulse train (the SFPT). The SFPT suffers from grating lobes when the product of sub-pulse duration and frequency step becomes more than one. The grating lobes and sidelobes present in the vicinity of the mainlobe. It can

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Sangsum, Chanakarn, and Phoonthawee Saetear. "All-Step-in-One Test Kit for Paraquat Detection in Water and Vegetable Samples." Analytica 3, no. 1 (2022): 92–105. http://dx.doi.org/10.3390/analytica3010007.

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This work presents the first development of an all-steps-in-one test kit for the determination of paraquat in natural water, and vegetable and agricultural samples. A handheld photometer incorporated with a magnetic stirrer was used to complete the steps of extraction, mixing, and detection. Paraquat produces a blue free radical ion via a reduction with sodium dithionite in alkaline conditions. Sodium dithionite powder was investigated for the enhancement of reagent stability duration, which was added directly into sample solution that showed insignificant difference in sensitivity as compared

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Claudel, Laure, Nicolas Valeix, Louise Basmaciyan, et al. "Comparative Study of Eleven Mechanical Pretreatment Protocols for Cryptosporidium parvum DNA Extraction from Stool Samples." Microorganisms 9, no. 2 (2021): 297. http://dx.doi.org/10.3390/microorganisms9020297.

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Nowadays, many commercial kits allow the polymerase chain reaction (PCR) detection of Cryptosporidium deoxyribonucleic acid (DNA) in stool samples, the efficiency of which relies on the extraction method used. Mechanical pretreatment of the stools using grinding beads has been reported to greatly improve this extraction step. However, optimization of this key step remains to be carried out. Indeed, many parameters could influence the pretreatment performances, among which the modulation of the speed and duration of the grinding step, in addition to the physicochemical features of the grinding

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Mukund, Subramaniyan, Skoogh Anders, Gopalakrishnan Maheshwaran, Salomonsson Hans, Hanna Atieh, and Lämkull Dan. "An algorithm for data-driven shifting bottleneck detection." Cogent Engineering 3 (September 22, 2016): 1–19. https://doi.org/10.1080/23311916.2016.1239516.

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Manufacturing companies continuously capture shop floor information using sensors technologies, Manufacturing Execution Systems (MES), Enterprise Resource Planning systems. The volumes of data collected by these technologies are growing and the pace of that growth is accelerating. Manufacturing data is constantly changing but immediately relevant. Collecting and analysing them on a real-time basis can lead to increased productivity. Particularly, prioritising improvement activities such as cycle time improvement, setup time reduction and maintenance activities on bottleneck machines is an impo

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Liang, Yuan-Chang, and Yen-Chen Liu. "Design of Nanoscaled Surface Morphology of TiO2–Ag2O Composite Nanorods through Sputtering Decoration Process and Their Low-Concentration NO2 Gas-Sensing Behaviors." Nanomaterials 9, no. 8 (2019): 1150. http://dx.doi.org/10.3390/nano9081150.

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TiO2–Ag2O composite nanorods with various Ag2O configurations were synthesized by a two-step process, in which the core TiO2 nanorods were prepared by the hydrothermal method and subsequently the Ag2O crystals were deposited by sputtering deposition. Two types of the TiO2–Ag2O composite nanorods were fabricated; specifically, discrete Ag2O particle-decorated TiO2 composite nanorods and layered Ag2O-encapsulated TiO2 core–shell nanorods were designed by controlling the sputtering duration of the Ag2O. The structural analysis revealed that the TiO2–Ag2O composite nanorods have high crystallinity

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Mathis, Walter S., Maria Ferrara, Shadie Burke, et al. "Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model." PLOS ONE 17, no. 12 (2022): e0270234. http://dx.doi.org/10.1371/journal.pone.0270234.

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Objective An extensive international literature demonstrates that understanding pathways to care (PTC) is essential for efforts to reduce community Duration of Untreated Psychosis (DUP). However, knowledge from these studies is difficult to translate to new settings. We present a novel approach to characterize and analyze PTC and demonstrate its value for the design and implementation of early detection efforts. Methods Type and date of every encounter, or node, along the PTC were encoded for 156 participants enrolled in the clinic for Specialized Treatment Early in Psychosis (STEP), within th

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Feng, Liang, Veronica Pazzi, Emanuele Intrieri, Teresa Gracchi, and Giovanni Gigli. "Joint detection and classification of rockfalls in a microseismic monitoring network." Geophysical Journal International 222, no. 3 (2020): 2108–20. http://dx.doi.org/10.1093/gji/ggaa287.

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SUMMARY A rockfall (RF) is a ubiquitous geohazard that is difficult to monitor or predict and poses a significant risk for people and transportation in several hilly and mountainous environments. The seismic signal generated by RF carries abundant physical and mechanical information. Thus, signals can be used by researchers to reconstruct the event location, onset time, volume and trajectory, and develop an efficient early warning system. Therefore, the precise automatic detection and classification of RF events are important objectives for scientists, especially in seismic monitoring arrays.

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Wang, Lan, Shigao Chen, Kai-Nan An, Hui-Lin Yang, and Zong-Ping Luo. "Theoretical Prediction of Ultrasound Elastography for Detection of Early Osteoarthritis." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/565717.

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Ultrasound elastography could be used as a new noninvasive technique for detecting early osteoarthritis. As the first critical step, this study theoretically predicted the excitation power and the measurement errors in detecting cartilage detect. A finite element model was used to simulate wave propagation of elastography in the cartilage. The wave was produced by a forceF, and the wave speedCwas calculated. The normal cartilage model was used to define the relationship between the wave speed and elastic modulus. Various stiffness values were simulated.F=10 N with a duration of 0.5 ms was requ

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