The predictive power of baseline metabolic and volumetric [18F]FDG PET parameters with different thresholds for early therapy failure and mortality risk in DLBCL patients undergoin... by Emil Novruzov, Helena A. Peters, Kai Jannusch, Guido Kobbe, Sascha Dietrich, Johannes C. Fischer, Jutta Rox, Gerald Antoch, Frederik L. Giesel, Christina Antke, Ben-Niklas Baermann, Eduards Mamlins

“…However, the baseline metabolic burden was superior in the prediction of mortality risk regardless of the thresholding method used. Conclusion: This study revealed that automated delineation methods of metabolic tumor burden using different thresholds do not differ in outcome substantially. …”
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Impact of Threshold Setting for Event Log Repair on Conformance Checking by Kazuki Masumoto, Hiroki Horita

“…Conformance checking is a method to compare the actually executed business process recorded as an event log with the business process described as a business process model and to identify differences. …”
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CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments by Ashley J. Waardenberg, Bassett Maya, Romaric Bouveret, Richard P. Harvey

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Respiratory Arousal Threshold in Patients with Epilepsy and Obstructive Sleep Apnea by Liao TW, Chang CW, Cheng MY, Wu T, Chen NH, Lin SW, Chuang LP

“…This study aimed to evaluate the respiratory arousal threshold (rAT) in PWE with concurrent OSA.Methods: Patients were recruited from the Sleep and Epilepsy Center at Chang Gung Memorial Hospital between January 2010 and June 2022. …”
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Early Deterioration of the Right Ventricular Pacing Threshold Predicts the Increase in His‐Bundle Pacing Threshold During the Chronic Phase: A Single‐Center Retrospective Study by Kenji Baba, Shogo Sakamoto, Moritoshi Irishio, Tomotaka Yoshiyama, Yusuke Hayashi, Toru Kataoka, Daiju Fukuda

“…However, concerns about long‐term threshold deterioration persist. The predictors of chronic threshold elevation are not yet well established. …”
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Prediction of blast-induced ground vibration in dolomitic marble quarry using Z-number information and fuzzy cognitive map based neural network models by Shahab Hosseini, Abiodun Ismail Lawal, Francois Mulenga

“…Hence, accurate prediction of BIGV is highly imperative. Therefore, different novel artificial intelligence (AI) methods such as Bayesian regularized neural network (BRNN), Bayesian regularized causality-weighted neural network (BRCWNN) and Z-number-based Bayesian regularized causality-weighted neural network (Z-BRCWNN) are proposed in this study for the reliable prediction of BIGV in a dolomitic marble quarry using the obtained field data. …”
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A Novel Color Difference-Based Method for Palette Extraction and Evaluation Using Images of Birds by Melike Bektas Kosesoy, Seckin Yilmaz

“…In this study, a new color palette extraction and evaluation method is proposed that differs from existing methods because it accelerates designers’ product coloring processes by identifying the color-area and color-neighborhood relationship. …”
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Core body temperature correlates of transition from aerobic to anaerobic metabolism in running by Marija Rakovac, Davor Šentija, Tošo Maršić, Vesna Babić

“…The first and second gas exchange thresholds (VT1 and VT2) were determined by the simplified V-slope method, while CBT dynamics and eventual temperature thresholds (TT1 and TT2) were assessed according to the criteria defined in this study. …”
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An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation by Hyundong Kim, Soobin Kwak, Moumni Mohammed, Seungyoon Kang, Seokjun Ham, Junseok Kim

“…This article presents an efficient and accurate adaptive time-stepping finite difference method (FDM) for solving the Landau–Lifshitz (LL) equation, which is an important mathematical model in understanding magnetic materials and processes. …”
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Method selection affects the estimates of residency and site fidelity in bottlenose dolphins: testing sensitivity and performance of different methods using mark-resight data by Israel Huesca-Domínguez, Eduardo Morteo, Luis Gerardo Abarca-Arenas, Brian C. Balmer, Tara M. Cox, Christian A. Delfín-Alfonso, Isabel C. Hernández-Candelario

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A Tensor-Based Go Decomposition Method for Hyperspectral Anomaly Detection by Meiping Song, Xiao Zhang, Lan Li, Hongju Cao, Haimo Bao

“…Specifically, the TGODEC-AD method combines the typical RX-AD and R-AD with the above decomposition result of the TGODEC model and constructs different modal operator detectors. …”
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Selecting the appropriate speed for rotational elements in human-machine interfaces: A quantitative study by Mu Tong, Shanguang Chen, Yu Zhang, Chengqi Xue

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An Anomaly Detection Method for Multivariate Statistical Process Based on POT by Dazhi ZHANG, Xiaoyu LUO, Sheng ZHENG

“…Considering the limitations of fixed thresholds and manual detection methods, which are difficult to adapt to the dynamic changes in time series data, this paper proposes an anomaly detection method based on peaks-over-threshold (POT) algorithm for multivariate statistical processes. …”
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Angle Estimation Based on Wave Path Difference Rate of Change Ambiguity Function by Jianye Xu, Maozhong Fu, Zhenmiao Deng

“…While the phase comparison method achieves high estimation precision, it is highly susceptible to noise and exhibits a suboptimal performance under low Signal-to-Noise Ratio (SNR) conditions, leading to a high SNR threshold. …”
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Threshold selection for extreme value estimation of vehicle load effect on bridges by Xia Yang, Jing Zhang, Wei-Xin Ren

“…According to the tail distribution of the strain data induced by vehicle loads, four homothetic distributions are chosen as its parent distribution, from which lots of random samples are generated by the Monte Carlo method. For each parent distribution, the 100-yearly extreme values at different thresholds are estimated and compared with the theoretical value based on those samples. …”
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Diagonal Degree Correlations vs. Epidemic Threshold in Scale-Free Networks by M. L. Bertotti, G. Modanese

“…We also prove that it is possible to construct, via the Porto–Weber method, correlation matrices which have the same knn as the Ph|k above, but very different elements and spectra, and thus lead to different epidemic diffusion and threshold. …”
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Comparison of Maximal Oxygen Uptake and Anaerobic Threshold in Soccer and Handball Players by Soyal Mehmet, Korkmaz Eryılmaz Selcen, Polat Metin, Aydoğan Sami

“…Ackground/Objective: The purpose of this study was to compare maximal oxygen uptake and anaerobic threshold values between soccer and handball players. …”
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Impact‐Based Thresholds for Investigation of High‐Tide Flooding in the United States by Christopher G. Piecuch, Sarah B. Das, Levi Gorrell, Sönke Dangendorf, Benjamin D. Hamlington, Philip R. Thompson, Thomas Wahl

“…Here we present a novel method for quantifying, with uncertainty, high‐tide flooding thresholds along the United States coast based on sparsely available impact‐based flood thresholds. …”
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Oxygen Consumption, Ventilatory Thresholds, and Work Zones in Nordic Walking Competitors by María Serna-Martínez, Sandra Ribes-Hernández, Ignacio Martínez-González-Moro

“…<b>Objectives:</b> With this study, we intend to analyse the physical work areas, according to ventilatory thresholds, that occur during a NW competition. <b>Methods:</b> Four participants of different characteristics anthropometrics (weight 57.6–85.6 kg; height 165.8–178 cm; and fat percentage 14.5–21.5%) gender (3 males and 1 female) and age (15–57 years) who participated in the NW regional championship have been chosen, and their electrocardiographic tracing was recorded using a NUUBO^® device throughout the race, obtaining average and maximum heart rates (HR) in eight sections of the circuit. …”
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Unveiling the Spatial Heterogeneity of Urban Vitality Using Machine Learning Methods: A Case Study of Tianjin, China by Fengshuo Sun, Enxu Wang

“…Taking the central urban area of Tianjin as an example, this paper explores the nonlinear influences and threshold effects of the BE on UV using machine learning methods. …”
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