Effect of different secondary distillation methods on the flavor of new whiskey by YANG Yunxia, LU Jun, SONG Xulei, WANG Xin, WANG Heng, WANG Deliang, YANG Yigong, ZHONG Chonghu, ZHANG Fuyu

“…In order to study the effect of different distillation methods on the flavor of new whisky, selecting two common distillation methods (pot distillation and tower distillation) in this study, the initial distillate of the first distillation was distilled twice, and the sample was taken in stages and then evaluated by sensory evaluation. …”
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Methods for nonparametric statistics in scientific research. Overview. Part 2 by M. A. Nikitina, I. M. Chernukha

“…The use of nonparametric methods in scientific research provides a number of advantages. …”
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A comparison of genomic methods to assess DNA replication timing by Emily Wheeler, Leigh Mickelson-Young, Emily E. Wear, Mason Burroughs, Hank W. Bass, Lorenzo Concia, William F. Thompson, Linda Hanley-Bowdoin

“…Here we modified the S/G1 technique by using EdU labeling (EdU-S/G1) to facilitate better separation of replicating from non-replicating nuclei during flow sorting, which enables the collection of a more pure sample of G1-phase nuclei. When comparing the three methods we found that profiles from the S/G1 and EdU-S/G1 methods are highly correlated with each other and with Repli-seq profiles for early replication. …”
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Comparison of instrumental methods for color change assessment of Giomer resins by Luiza de Almeida Queiroz Ferreira, Rogéli Tibúrcio Ribeiro da Cunha Peixoto, Cláudia Silami de Magalhães, Tassiana Melo Sá, Monica Yamauti, Francisca Daniele Moreira Jardilino

“…According to our results, the spectrophotometric method is more recommended in color change assessment.…”
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Nonpharmacological Methods Used for Dyspnea Management by Individuals With Lung Cancer by Gizem Özbudak, Yasemin Yıldırım

“…Objective: This study aimed to determine nonpharmacological methods lung cancer patients use for dyspnea management and to evaluate their opinions, needs, and preferences regarding these methods Materials and Methods: In this cross-sectional study, 60 patients were included. …”
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Comparison of enrichment methods for efficient nitrogen fixation on a biocathode by Rous, Axel, Santa-Catalina, Gaëlle, Desmond-Le Quémener, Elie, Trably, Eric, Bernet, Nicolas

“…The present study aims to develop a new method of enrichment of autotrophic and diazotrophic bacteria from soil samples with a better electron source availability than using H2 alone. …”
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Uncovering soil compaction: performance of electrical and electromagnetic geophysical methods by A. Carrera, A. Carrera, L. Peruzzo, M. Longo, G. Cassiani, F. Morari

“…</p> <p>In this study, we compared the ability of electric and electromagnetic geophysical methods, i.e., electrical resistivity tomography (ERT) and frequency-domain electromagnetic (FDEM) method, to assess the effects caused by both heavy plastic soil deformations generated by a super-heavy vehicle and the more common tractor tramlines on silty-loam soils. …”
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Aortic Aneurysm Inflammatory Cell Detection with Deep Learning methods by Kristóf-Gergö Nagy, Csaba Szferle, Attila Fintha

“…MATERIALS AND METHODS: We selected a total of 13 digitalized hematoxylin-eosin stained histological sections of aortic aneurysm surgical samples from the archives of the Department of Pathology and Experimental Cancer Research at Semmelweis University from the years 2023-2024. …”
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The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades by PAN Cheng-yi, WEI Wen-long, ZHANG Chun-yi

“…Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically.…”
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A method for uncertainty and sensitivity analysis in fuel performance codes by Ana Carolina Bortoletto Dantas, Antonio Teixeira e Silva

“…The present study proposes a method for the execution of uncertainty and sensitivity analysis on TRANSURANUS code, adapted for the use of stainless steel AISI-348 as the cladding material for a PWR reactor fuel rod, thus allowing to determine which input data are more relevant to the TRANSURANUS models, as well as a confidence interval for the results. …”
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Validation of the Decomposition Method for Fast MIMO Over-the-Air Measurements by Bernhard Auinger, Thomas Zemen, Michael Gadringer, Adam Tankielun, Christoph Gagern, Wolfgang Bösch

“…To speed up the OTA test, we analyze the Decomposition Method (DM). The DM splits the throughput measurement into two parts: (1) a receiver algorithm performance tests taking the fading process into account and (2) an antenna performance test without fading process emulation. …”
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Reliability Analysis of Structures by Iterative Improved Ensemble of Surrogate Method by Bolin Liu, Liyang Xie

“…Furthermore, obtaining more samples is very expensive and sometimes even impossible. …”
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IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION by Muhammad Bariklana, Achmad Fauzan

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Method of anti-confusion texture feature descriptor for malware images by Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI

“…It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was presented that joints global feature of GIST with local features of LBP or dense SIFT in order to construct combinative descriptors of malware gray-scale images.Using those descriptors,the malware classification performance was greatly improved in contrast to traditional method,especially for those samples have higher similarity in the different families,or those have lower similarity in the same family.A lot of experiments show that new method is much more effective and general than traditional method.On the confusing dataset,the accuracy rate of classification has been greatly improved.…”
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Evidence Prediction Method Based on Sentence Selection for Legal Documents by Huijie Bai

“…In order to solve the problem that it is difficult to find evidence from a large number of legal document statements and the irrelevant statements in a large number of document sample data will cause a great interference to the prediction results and further improve the accuracy of evidence prediction, this paper puts forward an intelligent evidence criterion prediction method for legal documents based on the comprehensive consideration of legal problems, the nature of statements, and the characteristics of answers. …”
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New Method for the Determination of DL-Histidine by FIA and Chemiluminometric Detection by Baghdad Science Journal

“…Using 70?l. sample linear plot with a coefficient of determination 95.79% for (5-60) mmol.L-1 while for a quadratic relation C.O.D = 96.44% for (5-80) mmol.L-1 and found that guadratic plot in more representative. …”
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Battery Life Evaluation Method Based on Temporal Convolution Network by SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng

“…In contrast, RUL will irreversibly decrease as the service time increases, which can provide a more reliable criterion for evaluation. To predict RUL, the same five key features (cycle time, average voltage, voltage sample entropy, temperature sample entropy, current) along with capacity are used. …”
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A Synergistic CNN-DF Method for Landslide Susceptibility Assessment by Jiangang Lu, Yi He, Lifeng Zhang, Qing Zhang, Jiapeng Tang, Tianbao Huo, Yunhao Zhang

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A method for PCR-free library preparation for sequencing palaeogenomes. by Kirstin Henneberger, Axel Barlow, Federica Alberti, Michaela Preick, Silviu Constantin, Doris Döppes, Wilfried Rosendahl, Michael Hofreiter, Johanna L A Paijmans

“…Here we present an amplification-free library preparation method based on a benchmark library preparation protocol in palaeogenomics based on single-stranded DNA, and demonstrate suitability of the new method for a range of sample types. …”
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Multi-adversarial domain adaptation method based on feature correction by Yong ZHANG, Haoshuang LIU, Qi ZHANG, Wenzhe LIU

“…Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method.…”
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