Selective Feature Fusion Based Adaptive Image Segmentation Algorithm by Qianwen Li, Zhihua Wei, Wen Shen

“…To get better segments on different images, we further develop an algorithm to change threshold adaptively for each image by measuring the size of the region. …”
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Multi-targets device-free localization based on sparse coding in smart city by Min Zhao, Danyang Qin, Ruolin Guo, Guangchao Xu

“…To accelerate the positioning as well as improve the localization accuracy, a sparse coding-based iterative shrinkage threshold algorithm (SC-IA) is proposed and a subspace sparse coding-based iterative shrinkage threshold algorithm (SSC-IA) is presented for different practical application requirements. …”
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Association between ambient ozone exposure during pregnancy and risk of preterm birth in Guangdong Province by Peng HU, Shanshan RAN, Qingmei LIN, Yin YANG, Zilong ZHANG, Xiaoling GUO, Yonggui GAO, Jinde ZHAO, Hualiang LIN

“…This study found that there were threshold concentrations between O3 exposure and preterm birth risk during different gestational periods, and the threshold concentrations in the first, second, third, and whole trimesters were 112.32, 99.83, 111.74, and 112.46 μg·m−3, respectively. …”
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Temperature dependence of the extrinsic incubation period of orbiviruses in Culicoides biting midges. by Simon Carpenter, Anthony Wilson, James Barber, Eva Veronesi, Philip Mellor, Gert Venter, Simon Gubbins

“…The estimates obtained in the present study suggest that previous publications have underestimated the replication rate and threshold temperature because the statistical methods they used included an implicit assumption that all negative vectors were infected.…”
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Problems of modern diagnostics of choledocholithiasis by S. G. Shapoval’yants, T. B. Ardasenov, D. A. Freydovich, A. G. Mylnikov, A. G. Pan’kov, S. A. Budzinsky, A. A. Nikonov

“…However estimation of diagnostic criteria suggested by different authors and their threshold values is ambiguous. …”
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Similarities in the Low-Energy Elastic and Ps Formation Differential Cross-Sections for e⁺-H and e⁺-He Scattering by Peter Van Reeth, John W. Humberston

“…In the present work, the elastic scattering differential cross-sections (EDCSs) for e⁺-H and e⁺-He below the first excitation threshold of the target were evaluated using the Kohn variational method and found to be very similar. …”
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Study on consistency between liver fat fraction quantification based on photon-counting CT and MRI proton density fat fraction by CAI Xinxin, DENG Rong, XU Xinxin, XU Zhihan, CHANG Rui, DONG Haipeng, LIN Huimin, YAN Fuhua

“…The performance of the adjusted threshold in measuring liver fat content was evaluated in the validation cohort, as well as the consistency across subgroups with different scanning protocols. …”
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Entomocomplex of peach plantations in the vegetation period by L. Rozova, I. Yudytska

“…Study of the entomocomplex of peach plantations in order to plan appropriate measures to limit their harmfulness. Methods. Laboratory field. The population of peach trees by pests was determined according to generally accepted methods in the Research Garden of the Dmytro Motorny Tavriya State Agrotechnological University. …”
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Document features selection using background knowledge and word clustering technique by Hajar Farahmand, Ali Harounabadi, S. Javad Mirabedini

“…In this essay, in order to decrease the number of features and to choose basic document feature, we use background knowledge and word clustering methods. In fact by using WordNet ontology, background knowledge and clustering method, the similar words of documents are clustered and the clusters with the number of words more than threshold are chosen and then their frequency of words is accepted as the effective features of document. …”
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Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography by Wenliang Wu, Zhi Li, Xiaoning Zhang, Minghui Li

“…To eliminate the effects of image’s light and shade difference when separating and distinguishing the material composition, a method is put forward, namely, ring-type and partitions threshold segmentation. …”
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High-quality development and rural revitalization: the role of rural e-commerce by Qi You, Zihao Yuan, Xiao-She Yu

“…This approach allows us to examine heterogeneous effects across different levels of RR development and identify threshold effects where applicable.ResultsFirst, HQD exhibits an inverted U-shaped relationship with RR, peaking at the 50th quantile of the RR distribution. …”
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Evaluation of Baby Leaf Products Using Hyperspectral Imaging Techniques by Antonietta Eliana Barrasso, Claudio Perone, Roberto Romaniello

“…The aim of the research was to identify a discrimination method to analyze the different hydration levels in baby-leaf products. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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Evaluation of shade matching in the repair of indirect restorative materials with universal shade composites by Büşra Karabulut Gençer, Ezgi Acar, Bilge Tarçın

“…Results ∆E1 values in all subgroups exceeded the threshold of 3.3. No significant difference was found between the surface preparation processes regarding ∆E1 values. …”
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Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case study by Eleanor Van Vogt, Anthony C. Gordon, Karla Diaz-Ordaz, Suzie Cro

“…The modal initial (root) splits of the causal forest were extracted, and the mean value was used as a threshold to partition the population into subgroups with different treatment effects. …”
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Shoreline Change Sensitivity in The Kocasu Stream Delta and The Future (2033 and 2043) Shore Change Predictions by Sultan Murat Uzun

“…In this study, water index analyses and coastline extraction with the threshold method were performed on Landsat satellite images of 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2020, and 2023. …”
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Biomechanical impacts of 3D arch-support insoles on countermovement jumps: a statistical parametric mapping analysis by Qiu-qiong Shi, Qiu-qiong Shi, Kit-lun Yick, Kit-lun Yick, Rui-feng Huang, Rui-feng Huang, Chu-hao Li, Jin long Wu

“…SPM was used to statistically compare the biomechanical changes across the different 3D insoles during six continuous key phases of CMJs.ResultsWith the 3D arch-support insoles donned, supra-threshold clusters of the ankle kinematics in the sagittal and frontal planes exceeded the critical thresholds during propulsion-flight (p = 0.022) and the landing (p = 0.033). …”
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Assessment of printed lung cancer surgery patient education materials in the United StatesCentral MessagePerspective by Woorin Jang, BS, Savanna Kerstiens, MA, Rachel Nordgren, PhD, Anne Dijkstra, MB, Marina DePablo, MPH, DNP, RN, Lauren Gleason, MD, MPH, Darren Bryan, MD, Jessica S. Donington, MD, MSCR, Mark K. Ferguson, MD, Jane L. Holl, MD, MPH, Maria Lucia Madariaga, MD

“…The average reading level of the PEMs ranged from 7th grade to 11th grade, significantly exceeding the recommended 6th grade health literacy threshold (P < .01). Although mean understandability (73.7 ± 13.2%) and actionability (70.2 ± 17.8%) scores were not significantly different from the minimum threshold, and the mean accessibility score (81.8 ± 13.5%) was significantly higher than the threshold (P < .05), there was wide variation in the scores. …”
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Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets by G. Bernoux, V. Maget

“…The second reason is that the choice of the correct threshold (when using a Peaks Over Threshold approach) is made difficult with a short data set and leads to inaccurate results. …”
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Denoise Digital Images Depending on Contourlet Transform by Khalil Al-Saif, Ahmed Saleh

“…Thus it was the use of an algorithm the threshold for the adoption of that every image inserted is denoise, the impact of noise which depending on the impulse response of contourlet transform, has been the adoption of digital images of different types, as an assessment of how much closer the image recovered to the original image through the use of some measurements including correlation coefficient as well as SNR , MSE and PSNR. …”
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