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Journal articles on the topic 'Filtre intervalle'

Author: Grafiati

Published: 14 September 2024

Last updated: 31 July 2025

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1

Scherman, Mathieu. "Travail et conscience : la présentation de soi dans les estimi de Trévise du XVe siècle." Mélanges de l École française de Rome Moyen Âge 118, no. 1 (2006): 127–48. http://dx.doi.org/10.3406/mefr.2006.9408.

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Comment le travail intervient-il dans l’identité d’une population urbaine à la fin du Moyen Âge ? À partir des déclarations fiscales rédigées à intervalles réguliers par les contribuables de la ville de Trévise, il est possible de s’interroger sur la valeur qu’ils attribuent au travail dans leur identification. Voulue par le pouvoir, la déclaration n’en est pas moins un document personnel par lequel l’individu s’exprime. Le filtre du rédacteur a peu d’incidence, voire aucune, sur le contenu du document. La population recensée grâce aux opérations fiscales est large, ce qui permet d’examiner l’

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2

Xin Lingyi, 忻伶怡, 周雪芳 Zhou Xuefang, 毕美华 Bi Meihua та ін. "通道间隔可切换的双Lyot滤波器的结构设计与性能分析". Chinese Journal of Lasers 49, № 21 (2022): 2106002. http://dx.doi.org/10.3788/cjl202249.2106002.

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3

Hicks, Hilary, Alex Laffer, Genna Losinski, and Amber Watts. "Low Frequency Extension Filter and ActiGraph-Calculated Sleep Intervals in Older Adults." Innovation in Aging 4, Supplement_1 (2020): 428. http://dx.doi.org/10.1093/geroni/igaa057.1381.

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Abstract Actigraphy has become a popular, non-invasive means of continuously monitoring physical activity and sleep. One optional setting, the low frequency extension (LFE) filter, reduces the movement threshold to capture low acceleration activity that is common in older adults. This filter significantly alters physical activity outcomes (e.g., step counts), but it is unclear if this has implications for sleep interval calculations that rely upon accurate differentiation between physical activity and sleep. We investigated the effects of the LFE filter on wrist-worn sleep estimates in older a

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Chen, Feng-Wu, Ning-Yuan Lue, Mei-Yin Chou, and Yu-Shu G. Wu. "All-electrical valley filtering in graphene systems. I. A path to integrated electro-valleytronics." Journal of Applied Physics 132, no. 16 (2022): 164303. http://dx.doi.org/10.1063/5.0114386.

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Probing and controlling the valley degree of freedom in graphene systems by transport measurements has been a major challenge to fully exploit the unique properties of this two-dimensional material. In this theoretical work, we show that this goal can be achieved by a quantum-wire geometry made of gapped graphene that acts as a valley filter with the following favorable features: (i) all electrical gate control, (ii) electrically switchable valley polarity, (iii) robustness against configuration fluctuation, and (iv) potential for room temperature operation. This valley filtering is accomplish

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5

Klinke, Rainer, Marcus Müller, Claus-Peter Richter, and Jean Smolders. "Preferred intervals in birds and mammals: A filter response to noise?" Hearing Research 74, no. 1-2 (1994): 238–46. http://dx.doi.org/10.1016/0378-5955(94)90192-9.

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6

Oliveira, Danian Steinkirch de, Paulo Eduardo Miranda Cunha, Luiz Gallisa Guimaraes, and Andre Fabiano Steklain. "High-Resolution Ray Tracing Migration." Brazilian Journal of Geophysics 39, no. 4 (2021): 521. http://dx.doi.org/10.22564/rbgf.v39i4.2112.

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ABSTRACT. We present a seismic migration algorithm that calculates travel times and amplitudes based on the paraxial extrapolation of the dynamic ray tracing. We use a target-oriented approach with automatic selection of migration parameters and seismic traces that will compose the image. By associating the ray parameter (slowness vector) with the amplitudes of the seismic data, we reach a new form of migration amplitude conditioner that acts as a filter and may increase the resolution of reflectors and faults. On the other hand, when using the seismic amplitudes as weights, we can estimate th

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7

Yost, William A., Dan Mapes-Riordan, Raymond Dye, Stanley Sheft, and William Shofner. "Discrimination of first- and second-order regular intervals from random intervals as a function of high-pass filter cutoff frequency." Journal of the Acoustical Society of America 117, no. 1 (2005): 59–62. http://dx.doi.org/10.1121/1.1830671.

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8

COLAK, OMER H. "AN EFFICIENT METHOD FOR CORRECTION OF ECTOPIC BEATS IN R-R INTERVALS." Fluctuation and Noise Letters 08, no. 03n04 (2008): L359—L368. http://dx.doi.org/10.1142/s0219477508005112.

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This study presents an efficient method based on principal component analysis (PCA) to remove ectopic beats in R-R intervals. The method is focused on variation of slopes at each time steps and reconstruction of new time values using initial eigenvectors and new slope values. Obtained results and LF (low frequency) and HF (high frequency) energy distributions were compared with outputs of integral pulse frequency modulation (IPFM) method and sliding window average filter (SWAF).

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9

Ashkenazy, Y., M. Lewkowicz, J. Levitan, H. Moelgaard, P. E. Bloch Thomsen, and K. Saermark. "Discrimination of the Healthy and Sick Cardiac Autonomic Nervous System by a New Wavelet Analysis of Heartbeat Intervals." Fractals 06, no. 03 (1998): 197–203. http://dx.doi.org/10.1142/s0218348x98000249.

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We demonstrate that it is possible to distinguish with a complete certainty between healthy subjects and patients with various dysfunctions of the cardiac nervous system by way of multiresolutional wavelet transform of RR intervals. We repeated the study of Thurner et al. on different ensemble of subjects. We show that reconstructed series using a filter which discards wavelet coefficient related with higher scales enables one to classify individuals for which the method otherwise is inconclusive. We suggest a delimiting diagnostic value of the standard deviation of the filtered, reconstructed

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Xu, XueQing, and YongHong Zhou. "EOP prediction using least square fitting and autoregressive filter over optimized data intervals." Advances in Space Research 56, no. 10 (2015): 2248–53. http://dx.doi.org/10.1016/j.asr.2015.08.007.

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11

Fatima, Yasmeen, A. Mallick M., and U. Khan Y. "Detection of Real Time QRS Complex Using Wavelet Transform." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2857–63. https://doi.org/10.11591/ijece.v8i5.pp2857-2863.

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This paper presents a novel method for QRS detection. To accomplish this task ECG signal was first filtered by using a third order Savitzky Golay filter. The filtered ECG signal was then preprocessed by a Wavelet based denoising in a real-time fashion to minimize the undefined noise level. R-peak was then detected from denoised signal after wavelet denoising. Windowing mechanism was also applied for finding any missing R-peaks. All the 48 records have been used to test the proposed method. During this testing, 99.97% sensitivity and 99.99% positive predictivity is obtained for QRS complex dete

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12

Yang, Hongjiu, Peng Li, Yuanqing Xia, and Jinhui Zhang. "Reduced-Order $H_\infty$ Filter Design for Delta Operator Systems Over Multiple Frequency Intervals." IEEE Transactions on Automatic Control 65, no. 12 (2020): 5376–83. http://dx.doi.org/10.1109/tac.2020.2968962.

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13

Winn, Aung Phyo, O. A. Serdyuk, and V. M. Troyanovskyi. "Transformation of the structure and parameters of a shaping filter into confidence intervals for correlation function estimate." IFAC Proceedings Volumes 46, no. 9 (2013): 1820–25. http://dx.doi.org/10.3182/20130619-3-ru-3018.00080.

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14

Zhou, Ting, Yingjie Wei, Yuxin Jie, and Yanyi Zhang. "Prediction intervals for concrete face sandy gravel dam settlement using Kalman filter-based kernel extreme learning machine." Measurement 236 (August 2024): 115094. http://dx.doi.org/10.1016/j.measurement.2024.115094.

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15

Zhu, Wenliang, Gang Ma, Lesong Zheng, Yuhang Chen, Lishen Qiu, and Lirong Wang. "Inter-patient arrhythmia identification method with RR-intervals and convolutional neural networks." Physiological Measurement 43, no. 3 (2022): 035003. http://dx.doi.org/10.1088/1361-6579/ac58de.

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Abstract Objective. The arrhythmia identification method based on the U-net has the potential for fast application. The RR-intervals have been proven to improve the performance of single-heartbeat identification methods. However, because both the heartbeats number and location in the input of the U-net are unfixed, the approach based on the U-net cannot use RR-intervals directly. To solve this problem, we proposed a novel method. The proposed method also can identify heartbeats of four classes, including non-ectopic (N), supraventricular ectopic beat (SVEB), ventricular ectopic beat (VEB), and

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16

Lopac, Nikola, Jonatan Lerga, and Elena Cuoco. "Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule." Sensors 20, no. 23 (2020): 6920. http://dx.doi.org/10.3390/s20236920.

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Gravitational-wave data (discovered first in 2015 by the Advanced LIGO interferometers and awarded by the Nobel Prize in 2017) are characterized by non-Gaussian and non-stationary noise. The ever-increasing amount of acquired data requires the development of efficient denoising algorithms that will enable the detection of gravitational-wave events embedded in low signal-to-noise-ratio (SNR) environments. In this paper, an algorithm based on the local polynomial approximation (LPA) combined with the relative intersection of confidence intervals (RICI) rule for the filter support selection is pr

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17

Rangsungnoen, S., P. Chanbenjapipu, N. Mathuradavong, and K. Suwanprasert. "A Hybrid Signal Processing of RR Intervals from QTc Variation Searching Arrhythmia and Improving Heart Rate Variability Assessment in Acute Large Artery Ischemic Stroke." Journal of Medical Engineering 2016 (November 14, 2016): 1–6. http://dx.doi.org/10.1155/2016/9823026.

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Sudden death caused by abnormal QTc and atrial fibrillation (AF) has been reported in stroke. Heart rate variability (HRV) is reduced with missing beats of RRI during arrhythmic episode and abnormal QTc variation during acute stroke. In this study, we develop a hybrid signal processing by Pan Tompkins QRS detection and Kalman filter estimator for meaningful missing beats and searching AF with prolonged QTc. We use this hybrid model to investigate RRIs of Lead II ECG in thirty acute stroke patients with long QTc and AF (LQTc-AF) and normal QTc without AF (NQTc-nonAF) and then assess them by HRV

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18

Dr., M. Mary Jansi Rani, and Alphonse Anitha A. "BONE CANCER IDENTIFICATION USING RANK CORRELATION BETWEEN TWO INTERVAL VALUED INTUITIONISTIC FUZZY SETS." International Journal of Current Research and Modern Education (IJCRME) 7, no. 2 (2022): 16–22. https://doi.org/10.5281/zenodo.7079942.

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Bone tissues are sometimes affected by different stress, pressure which leads to form the tumor in the bone that is called as the bone malignant. The developed bone cancer is diagnosed by using the various screening methodologies, image processing and soft computing technologies. At the time of this screening process, it consists of different risk such as swelling, weaken risk, night swears, chills that is difficult to identified in the bone tumor starting stage. So, in this work focuses to detect the bone tumor in the beginning stage by utilizing the Rank correlation between Two Interval Valu

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19

Pytel, Krzysztof, Roman Filipek, Adam Kalwar, et al. "Proactive Maintenance and Data-Driven Optimization of Mineral Lubricating Oil in a Gas Engine Cogeneration System Extending Oil Change Intervals for Cost Savings and a Reduced Environmental Footprint." Energies 18, no. 1 (2025): 154. https://doi.org/10.3390/en18010154.

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This study investigates the operational properties of mineral lubricating oil in gas engines used in cogeneration systems, with a focus on factors contributing to the degradation of lubricating properties critical for energy efficiency and system management. The research was conducted on a 4.3 MW gas engine operating for about 90,000 machine hours, using natural gas as fuel. Data obtained from SCADA (Supervisory Control and Data Acquisition) systems and laboratory analysis were utilized to establish oil quality criteria, enabling the prediction of oil degradation and optimization of oil change

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20

Uemoto, Mitsuharu, Masaki Nishiura, and Tomoya Ono. "Valley filters using graphene blister defects from first principles." Journal of Physics: Condensed Matter, November 16, 2023. http://dx.doi.org/10.1088/1361-648x/ad0d26.

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Abstract Valleytronics, which makes use of the two valleys in graphenes, attracts considerable attention and a valley filter is expected to be the central component in valleytronics. We propose the application of the graphene valley filter using blister defects to the investigation of the valley-dependent transport properties of the Stone--Wales and blister defects of graphenes by density functional theory calculations. It is found that the intervalley transition from the $\mathbf{K}$ valley to the $\mathbf{K}^\prime$ valleys is completely suppressed in some defects. Using a large bipartite ho

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21

Liang, Lun, Di Yang, Wen Liu, et al. "Selective control of valley polarization in monolayer transition metal dichalcogenides among multiexcitonic states." Applied Physics Letters 125, no. 13 (2024). http://dx.doi.org/10.1063/5.0214388.

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In 2018, an inverted valley polarization (VP) for the biexciton emission in monolayer WS2 was experimentally observed [Nagler et al., Phys. Rev. Lett. 121, 057402 (2018)]. Here, we develop a comprehensive model, which incorporates thermal effect and magnetic response of exciton and biexciton complexes with both intra- and intervalley relaxation channels, to reveal the underlying physics. We obtain the inverted biexciton VP, in excellent agreement with the experimental data. Notably, beyond available experimental measurements, our theory also predicts a reversal of VP for excitons associated wi

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22

Shrestha, Shreetu, Mingxing Li, Suji Park, Xiao Tong, Donald DiMarzio, and Mircea Cotlet. "Room temperature valley polarization via spin selective charge transfer." Nature Communications 14, no. 1 (2023). http://dx.doi.org/10.1038/s41467-023-40967-7.

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AbstractThe two degenerate valleys in transition metal dichalcogenides can be used to store and process information for quantum information science and technology. A major challenge is maintaining valley polarization at room temperature where phonon-induced intervalley scattering is prominent. Here we demonstrate room temperature valley polarization in heterostructures of monolayer MoS2 and naphthylethylammine based one-dimensional chiral lead halide perovskite. By optically exciting the heterostructures with linearly polarized light close to resonance and measuring the helicity resolved photo

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23

Kato, Hideo, Yoshihiko Morikawa, Mao Hagihara, Hiroshige Mikamo, and Takuya Iwamoto. "Investigation of in-line filter replacement intervals for infusion." Journal of Hospital Infection, February 2023. http://dx.doi.org/10.1016/j.jhin.2023.01.012.

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24

Morris, Thomas Glyn, Jonathan Layley, Robin Geevarghese, Lucille Steele, Joshua Ssali, and Mehdi Mirzazadeh. "Adult and neonate TSH blood spot reference intervals." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine, June 24, 2022, 000456322211126. http://dx.doi.org/10.1177/00045632221112654.

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Background: Neonatal congenital hypothyroidism screening is performed by measuring thyroid-stimulating hormone (TSH) in a dried blood spot (DBS) sample, whereas acquired hypothyroidism uses serum TSH. There is no established DBS TSH reference interval, but knowing this is useful, as some patients cannot tolerate venepuncture, so DBS collection is seen as an acceptable alternative. The aim of this study was to establish DBS TSH reference intervals in adults and neonates (day 5-8), and determine the relationship between serum and DBS TSH.Methods: Euthyroid adults, not on thyroid medi

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25

Meredith, Bryanna, Bridget M. Clancy, Allison M. Ostdiek, George P. Langan, and Kerith R. Luchins. "Extended Sanitation Intervals for Cage Components and Automated Watering Valves: Validation and Cost Analysis." Journal of the American Association for Laboratory Animal Science, 2023. http://dx.doi.org/10.30802/aalas-jaalas-23-000084.

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Although the Guide suggests changing rodent cage components every 2 wk, it states that “decreased sanitation frequency may be justified if the microenvironment in the cages, under the condition of use ..., is not compromised.” The purpose of this study was to evaluate extended sanitation intervals of cage components (automated watering valve, wire bar lid, and filter top) of mouse individually ventilated caging (IVCs) at our institution. We hypothesized that there would be no significant difference in relative light units measured by ATP luminometry of these cage components at the control time

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26

Rao S.K, Shrikanth, MaheshKumar H Kolekar, and Roshan Joy Martis. "A Deep Learning Approach for Detecting Atrial Fibrillation using RR Intervals of ECG." Frontiers in Biomedical Technologies, April 15, 2024. http://dx.doi.org/10.18502/fbt.v11i2.15343.

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Purpose: Atrial Fibrillation (AF) is one of the most common types of heart arrhythmias observed in clinical practice. AF can be detected using an Electrocardiogram (ECG). ECG signals are time-varying and nonlinear in nature. Hence, it is very difficult for a physician to manually perform accurate and rapid classification of different heart rhythms. Materials and Methods: In this paper, we propose a method using Discrete Wavelet Transform (DWT) with db6 as the basis function for denoising ECG signal. Results: The denoised ECG is smoothened using the Savitzky- Golay filter. Deep lear

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27

Jamal, Alaa, and Raphael Linker. "Inflation method based on confidence intervals for data assimilation in soil hydrology using the ensemble Kalman filter." Vadose Zone Journal 19, no. 1 (2020). http://dx.doi.org/10.1002/vzj2.20000.

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28

Aaron, Gu, Jae Cho Hyun, and Sheffield Nathan. "Bedshift: perturbation of genomic interval sets." May 22, 2021. https://doi.org/10.5281/zenodo.4771246.

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Functional genomics experiments, like ChIP-Seq or ATAC-Seq, produce results that are summarized as a region set. Many tools have been developed to analyze region sets, including computing similarity metrics to compare them. However, there is no way to objectively evaluate the effectiveness of region set similarity metrics. In this paper we present *Bedshift*, a command-line tool and Python API to generate new BED files by making random perturbations to an original BED file. Perturbed files have known similarity to the original file and are therefore useful to benchmark similarity metrics. To d

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29

Bovenkerk, D., L. A. La Fontaine, S. Van Kuijk, et al. "Validation of a mobile 6-lead ECG device for annual routine assessment of ECG intervals in myotonic dystrophy type 1 patients." Europace 27, Supplement_1 (2025). https://doi.org/10.1093/europace/euaf085.842.

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Abstract Background/Introduction Myotonic dystrophy type 1 (DM1) is a neuromuscular disorder with a multisystemic nature, affecting various organ systems beyond the neuromuscular system. Cardiac involvement in DM1 is associated with high mortality, accounting for 33% of deaths in this disease. A yearly electrocardiogram (ECG) follow-up is recommended for early detection of these cardiac conduction disorders or other signs of cardiac involvement. However, due to the physical impairment of DM1 patients, this yearly ECG can be challenging. Recent advancements in telemonitoring could reduce the nu

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