Denoise Digital Images Depending on Contourlet Transform by Khalil Al-Saif, Ahmed Saleh

“…In this paper a new, proposed way to denoise an image under the impact of different types of noise experienced by the image acquired during media, where the reliance on contourlet transform because of their ability to maintain the edges in the image(high-high frequency)in addition to its potential to capture information <strong>smooth contours</strong>, which is one of the most important information that must be maintained by the methods of restoration to get to an estimate of the original image. …”
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Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers by Luca Sartore, Lu Chen, Valbona Bejleri

“…Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data. …”
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The intestinal microbiota modulates the visceral sensitivity involved in IBS induced by restraint combined with tail clustering by Na Deng, Na Deng, Siqin Xie, Qin Liu, Huiyi Peng, Leyao Fang, Junxi Shen, Xiaoyuan Lin

“…ObjectiveTo compare three common stimuli that induce emotional stress to identify the optimal method for establishing an animal model that aligns with the clinical pathogenesis of irritable bowel syndrome (IBS) and to explore the gut microbiota mechanisms underlying IBS development.MethodsThirty-six SPF-grade female Kunming mice were randomly divided into four groups: the normal control (NC) group, the restraint stress (BM) group, the tail clamp stress (CTM) group, and the restraint combined with tail clamp stress (BCTM) group, with 9 mice in each group. …”
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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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Reinforced Concrete under the Action of Carbonization and Chloride Aggression: a Probabilistic Model for Service Life Prediction by S. N. Leonovich, E. E. Shalyi, L. V. Kim

“…The reinforcement is subjected to a depassivation process as soon as a chloride concentration on its surface exceeds a certain threshold concentration, or the pH value in a concrete protective layer is decreased to a threshold value due to carbonation. …”
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Automatic Extraction of Doppler Envelopes for Gait Analysis Using FMCW Radar: A Novel Approach for Spatio-Temporal Parameters Estimation by Sumin Kim, Hyun-Chool Shin

“…Experiments were conducted on five participants with varying physical characteristics, and key gait parameters—such as walking speed, step length, and stride time—were estimated and compared against motion capture-based ground truth. The proposed method demonstrated relative errors typically below 10%, with key parameters such as Foot Speed and Leg Speed falling below the commonly cited 5% clinical threshold. …”
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Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices by Morteza Sharif, Saeid Hamzeh

“…The soil was classified by salient decision-making method of changes in halophyte and non-halophyte plants according to the threshold obtained from the indicators used in each year. …”
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Optimization of microprobe analysis of cementitious materials incorporating glass powder under electron beam to avoid alkali migration by Wena de Nazaré do Rosário Martel, Josée Duchesne, Benoît Fournier

“…Literature-reported densities often surpass this threshold. At those conditions, the implementation of a sub-counting method effectively reduces the Na loss to 3%. …”
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Construction and validation of a readmission risk prediction model for elderly patients with coronary heart disease by Hanyu Luo, Benlong Wang, Rui Cao, Jun Feng

“…BackgroundTo investigate the risk factors for readmission of elderly patients with coronary artery disease, and to construct and validate a predictive model for readmission risk of elderly patients with coronary artery disease within 3 years by applying machine learning method.MethodsWe selected 575 elderly patients with CHD admitted to the Affiliated Lu’an Hospital of Anhui Medical University from January 2020 to January 2023. …”
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Reservoir Characterisation and Modelling for CO2 Sequestration in ‘‘Han’’ Field, Onshore Niger Delta, Nigeria by S. Kemisola Oyero, Abiola Olubola, O. Kazeem Ayinde

“…In particular, by carrying out regional and local characterization and field projects to demonstrate that different types of geologic storage reservoirs distributed over different basins can permanently and safely store CO2. …”
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The association of non-exercise estimated cardiorespiratory fitness with hypertension and all-cause mortality in American and Chinese populations: evidence from NHANES and CHARLS by Mo-Yao Tan, Ping Zhang, Si-Xuan Zhu, Shan Wu, Ming Gao

“…BackgroundThe Non-Exercise Estimated Cardiorespiratory Fitness (NEE-CRF) method has gained attention in recent years due to its simplicity and effectiveness. …”
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Changes in the Volatile Profile, Fruity Flavor, and Rancidity in Virgin Olive Oils During Storage by Targeted and Untargeted Analytical Approaches by Rosalba Tucci, Chiara Cevoli, Alessandra Bendini, Sara Barbieri, Enrico Casadei, Enrico Valli, Tullia Gallina Toschi

“…Specifically, volatile molecules were monitored in oils just produced and stored for 6 and 12 months with two different packaging solutions. The targeted SPME-GC–MS method showed an increase in volatile markers of lipid oxidation. …”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

“…Firstly, the article utilized a score management system and intelligent cameras to collect multimodal learning data; then, the original signal was decomposed into detail layers and approximation layers of different frequencies using wavelet transform, and high-frequency detail layers were processed for denoising through threshold functions; afterwards, in order to reduce the network size and parameters, attention mechanism was applied to screen the input features of the neural network; using students, teachers, and learning resources as network nodes, the connections between nodes were analyzed and a complex network topology structure was constructed; then, attention mechanism was used to fuse multimodal data, assigning different weights to each modality, integrating educational information, and highlighting key information in the prediction task. …”
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Biological stability of varieties of black currant against Cecidophyopsis ribis Westw. of the Polish Ukraine by A. Bakalova, H. Tkalenko, O. Derecha, O. Borzykh, N. Hrytsiuk, V. Podziubanchuk

“…Methods. The assessment of resistance was carried out in response to signs of damaging bud spherical in shape, resembling a method of histological cut of the bud. …”
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Inferring influenza infection attack rate from seroprevalence data. by Joseph T Wu, Kathy Leung, Ranawaka A P M Perera, Daniel K W Chu, Cheuk Kwong Lee, Ivan F N Hung, Che Kit Lin, Su-Vui Lo, Yu-Lung Lau, Gabriel M Leung, Benjamin J Cowling, J S Malik Peiris

“…We hypothesize that such conventions are not necessarily robust because different thresholds may result in different IAR estimates and serologic responses of clinical cases may not be representative. …”
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Evolution of Hydrological Drought in Human Disturbed Areas: A Case Study in the Laohahe Catchment, Northern China by Yi Liu, Liliang Ren, Ye Zhu, Xiaoli Yang, Fei Yuan, Shanhu Jiang, Mingwei Ma

“…Using hydrometeorological observations during 1964–2009, meteorological and hydrological droughts are firstly analyzed with the threshold level method. Then, a comprehensive analysis on the changes within the catchment is conducted on the basis of hydrological variables and socioeconomic indices, and the whole period is divided into two parts: the undisturbed period (1964–1979) and the disturbed period (1980–2009). …”
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SSI Following Construction of Colorectal Anastomoses and C-Reactive Protein as Marker for Infectious Complications by E. A. Grushevzkaya, N. M. Mekhtiev, E. E. Grishina, M. V. Timerbulatov

“…An important aspect here is finding the earliest marker of the developing infectious complications and establishing its threshold value.Materials and methods. This is a prospective study of outcomes of colon resection and construction of colon anastomoses in 135 patients. …”
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Atezolizumab plus bevacizumab and chemotherapy versus bevacizumab plus chemotherapy for metastatic cervical cancer: a cost-effectiveness analysis by Hongfu Cai, Ling Fang, Jingwen Lin, Zhiwei Zheng

“…AimThe objective of this study is to conduct a cost-effectiveness analysis in order to evaluate the economic advantages of incorporating atezolizumab into a standard bevacizumab plus platinum regimen for the treatment of metastatic cervical cancer from the Chinese medical system perspective.MethodWe developed a partitioned survival model based on data obtained from the recently published BEATcc clinical trial and economic cost data. …”
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Observing the Poisson Distribution of a Coherent Microwave Field With a Parametric Photon Detector by Jiaming Wang, Kirill Petrovnin, J. Pertti Hakonen, Gheorghe Sorin Paraoanu

“…We show that these tests provide conclusive evidence for the Poissonian statistics in the case of a coherent state, in agreement with the experimental data. In addition, this method enables us to distinguish between different statistics of the incoming probe field. …”
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Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics by Shuang Liang, Xue Bai, Yu Gu

“…To effectively utilize both generated and real data, we introduce an improved loss function that includes a regularization term to ensure consistency across different data distributions. Our model demonstrates exceptional performance across five evaluation metrics: accuracy (0.9960), recall (0.9961), precision (0.9804), specificity (0.9975), and mean average precision (<i>mAP</i>) of 0.9400 at an Intersection over Union (IoU) threshold of 0.5. …”
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