Characterization of medical device constituents and development of duration-based non-cancer threshold of toxicological concern values by Taylor Builee, Todd A. Kennedy, Valériane Levelut, Megan A. Hahn, Stephen Bond, Michael K. Peterson, Frances K. Hsia, Alessia Stornetta, Kristin J. Erickson, Kimberly D. Ehman, Bindu Prabhakar, Bradford D. Bagley, Sherry P. Parker

“…IntroductionIn the absence of sufficient constituent-specific dose-response toxicity data, threshold of toxicological concern (TTC) values are commonly used in toxicological risk assessment of medical device (MD) constituents. …”
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A preliminary study on developing statistical distribution table of hearing threshold deviation for otologically normal Chinese adults by Linjie WU, Yang LI, Haiying LIU, Anke ZENG, Jinzhe LI, Wei QIU, Hua ZOU, Meng YE, Meibian ZHANG

“…backgroundCurrent assessment of noise-induced hearing loss relies on the hearing threshold statistical distribution table of ISO 7029-2017 standard (ISO 7029), which is based on foreign population data and lacks a hearing threshold distribution table derived from pure-tone audiometry data of the Chinese population, hindering accurate evaluation of hearing loss in this group.ObjectiveTo establish a statistical distribution table of hearing threshold level (HTL) for otologically normal Chinese adults and to provide a scientific basis for revising the diagnostic criteria of occupational noise-induced deafness in China.MethodsA total of 1271 otologically normal Chinese adults aged 18-60 years were divided into four groups with 10-year age intervals. …”
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Variable selection strategies for genomic prediction of growth and carcass related traits in experimental Nellore cattle herds under different selection criteria by Lucio F. M. Mota, Leonardo M. Arikawa, Júlia P. S. Valente, Larissa F. S. Fonseca, Maria E. Z. Mercadante, Joslaine N. S. G. Cyrillo, Henrique N. Oliveira, Lucia G. Albuquerque

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Economic Security of Households in the Region (Illustrated by the Ivanovo, Vladimir, Kostroma and Yaroslavl’ Regions) by I. I. Ledyaykina

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Vibration Analysis and Vehicle Detection by MEMS Acceleration Sensors Embedded in PCC Pavement by Congyi Chang, Linghui Kong, Libin Han, Junmin Li, Shuo Pan, Ya Wei

“…The study also explored various sensor placement locations and different threshold values for acceleration time-domain signals. …”
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Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments by Dingyi Jia, Weiguo Qiu, Rongpeng Guo, Min Wu, Zhanyong Wang, Xisheng Hu

“…The findings show that (1) as the cumulative resistance threshold increases, the area of ecological corridors expands from 171.36 km² to 1439.24 km², with the moderate method identified as the optimal resistance assignment approach; (2) significant differences exist in the identification of key corridors under different resistance assignment methods. …”
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An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering by Zhao Shi, Lingjiang Huang, Fengyuan Wu, Yong Lei, Huiying Wang, Zhiya Tang

“…This study investigates the application of an improved multi-threshold method based on the K-means algorithm for clutter filtering in W-band cloud and fog radar observations. …”
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Rapid Probabilistic Inundation Mapping Using Local Thresholds and Sentinel-1 SAR Data on Google Earth Engine by Jiayong Liang, Desheng Liu, Lihan Feng, Kangning Huang

“…Moreover, it enables users to refine local thresholds or integrate on-the-ground knowledge, providing enhanced adaptability over traditional methods.…”
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Optimum Multilevel Thresholding for Medical Brain Images Based on Tsallis Entropy, Incorporating Bayesian Estimation and the Cauchy Distribution by Xianwen Wang, Yingyuan Yang, Minhang Nan, Guanjun Bao, Guoyuan Liang

“…Its principle is to determine the optimal threshold by maximizing or minimizing the image’s entropy, dividing the image into different regions or categories. …”
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An Efficient Technique for Compressing ECG Signals Using QRS Detection, Estimation, and 2D DWT Coefficients Thresholding by Mohammed Abo-Zahhad, Sabah M. Ahmed, Ahmed Zakaria

“…This paper presents an efficient electrocardiogram (ECG) signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding. Firstly, the original ECG signal is preprocessed by detecting QRS complex, then the difference between the preprocessed ECG signal and the estimated QRS-complex waveform is estimated. 2D approaches utilize the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. …”
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The effect of four weeks of polarized training on aerobic fitness and performance of professional rowers by Tahereh Hozouri, Mohammad Fashi, Hamidollah Hassanlouie

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Interpreting the nature and non‐classical characteristics of information: a labyrinth of research approaches on the threshold of the 21st century by A.A. Kornienko, S.B. Kukhalsky

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Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach by Madan M. Mahanty, Sanjana M. Cheenankandy, Ganesan Latha, Govindan Raguraman, Ramasamy Venkatesan

“…However, the unwanted impulsive shackle noise occurs in broad band with the noise level higher by ∼20 dB over the dolphin signals, and it reduces the quality of dolphin whistles. A wavelet based threshold denoising technique followed by a subtraction method is implemented. …”
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Exercise testing in clinical context: Reference ranges for interpreting anaerobic threshold as an outcome for congenital heart disease patients by Katherine Hansen, Tracy Curran, Lindsey Reynolds, Catherine Cameron, Jennifer Pymm, Julie Ann O'Neill, Rachel Losi, Cara Sherman, Elise Ackermans, Suellen Yin, Tajinder Singh, Mark E. Alexander, Kimberlee Gauvreau, Naomi Gauthier

“…Background: Change in the oxygen consumption (VO2) at the ventilatory anaerobic threshold (VAT) is an important outcome in research studies of children with congenital heart disease (CHD). …”
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3D printing of radioactive wall-less PET phantoms improves threshold-based target delineation and quantification by Adrian Jun Zounek, Nico Maximilian Joerg, Felix Lindheimer, Artem Zatcepin, Giovanna Palumbo, Rosel Oos, Astrid Delker, Franz Josef Gildehaus, Andreas Bollenbacher, Guido Boening, Peter Bartenstein, Matthias Brendel, Nathalie Lisa Albert, Sibylle Ziegler, Lena Kaiser

“…Abstract Background Validation of threshold-based PET segmentation and PET quantification is typically performed with fillable phantoms. …”
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Analysis of Key Factors Affecting Water Disaster in Deep Mining and Establishment of a Water Disaster Evaluation Method Suitable for Different Mining Depths by Jianghui He, Wenping Li, Wei Qiao, Zhi Yang, Qiqing Wang

“…The results of the statistical analysis show that the accuracy of the new method at different mining depths is higher than that of the T method.…”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…This paper explored the utilization of machine learning models, with a particular emphasis on ensemble methods, to advance the detection of CC fraud. We present an ensemble model that incorporates different classifiers to address the dataset imbalance issue that is present in most CC datasets. …”
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Objective Estimation of Frequency-Specific Pure-Tone Hearing Thresholds following Bone-Conduction Hearing Aid Stimulation by Torsten Rahne, Thomas Ehelebe

“…The amount of amplification provided by the hearing system is selected based on the individual’s sensorineural frequency-specific threshold. With patients who are not able to provide thresholds behaviorally, such as young children, objective methods are required to estimate the unaided and aided hearing threshold and thus the success of the hearing system fitting. …”
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Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches by Seunghee Lee, Changeon Park, Eunho Ha, Jiseon Hong, Sung Hoon Kim, Youngho Kim

“…This study proposes a hybrid approach combining threshold-based algorithm and deep learning to detect four major gait events—initial contact (IC), toe-off (TO), opposite initial contact (OIC), and opposite toe-off (OTO)—using only a smartphone’s built-in inertial sensor placed in the user’s pocket. …”
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Determination of heart rate threshold from heart rate kinetics during maximal graded exercise in soccer players by Silvio Rodrigues Marques Neto, Alexandre Gurgel, Eduardo Lattari, Viviane Faleiro, Sérgio Machado, Paulo Farinatti, Geraldo Maranhão Neto

“…Oxygen uptake (VO2) and heart rate (HR) were monitored, recorded and resampled at 3.5Hz. The ventilatory threshold (VT), and respiratory compensation (RC), heart rate deflection points (HRDP1 and HRDP2) and heart rate kinetics threshold (HRT) were determined by computerized methods. …”
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