Contrastive learning method for leak detection in water distribution networks by Rongsheng Liu, Tarek Zayed, Rui Xiao

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An Introduction to the Composite Element Method Applied to the Vibration Analysis of Trusses by Marcos Arndt, Roberto Dalledone Machado, Mildred Ballin Hecke

“…This paper introduces a new type of Finite Element Method (FEM), called Composite Element Method (CEM). …”
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Investigating the Onion Skin Method for Solving Simple Linear Equations by Syahida Abdul Ghani, Masitah Shahrill, Hardimah Said

“…This research may inspire teachers to use alternative methods when instructing students on solving fundamental linear equations, allowing them to modify their instruction or develop more practical lessons for teaching.…”
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Effects of Different Cooking Methods on the Quality of Golden Pomfret Fillets by Keyi YUAN, Tiantian ZHAO, Wenjuan JIAO, Jun LIU, Fang ZHOU, Weifeng LIU, Yehui ZHANG, Lanqing PENG, Haijun NAN, Xiaoying CHEN

“…In fresh, steamed, boiled, and roasted fish samples, 35, 36, 40, and 32 volatile compounds were respectively identified, demonstrating that more volatile flavor compounds could be produced through heating treatments, which contributed to new flavor development in golden pomfret fillets to a certain extent. …”
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GDPR-oriented intelligent checking method of privacy policies compliance by Xin LI, Peng TANG, Xiheng ZHANG, Weidong QIU, Hong HUI

“…The implementation of the EU’s General Data Protection Regulation (GDPR) has resulted in the imposition of over 300 fines since its inception in 2018.These fines include significant penalties for prominent companies like Google, which were penalized for their failure to provide transparent and comprehensible privacy policies.The GDPR, known as the strictest data protection laws in history, has made companies worldwide more cautious when offering cross-border services, particularly to the European Union.The regulation's territorial scope stipulates that it applies to any company providing services to EU citizens, irrespective of their location.This implies that companies worldwide, including domestic enterprises, are required to ensure compliance with GDPR in their privacy policies, especially those involved in international operations.To meet this requirement, an intelligent detection method was introduced.Machine learning and automation technologies were utilized to automatically extract privacy policies from online service companies.The policies were converted into a standardized format with a hierarchical structure.Through natural language processing, the privacy policies were classified, allowing for the identification of relevant GDPR concepts.In addition, a constructed GDPR taxonomy was used in the detection mechanism to identify any missing concepts as required by GDPR.This approach facilitated intelligent detection of GDPR-oriented privacy policy compliance, providing support to domestic enterprises while they provided cross-border services to EU users.Analysis of the corpus samples reveals the current situation that mainstream online service companies generally fail to meet GDPR compliance requirements.…”
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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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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…This paper proposes a new method based on the Gaussian Mixture Model (GMM): First, we use the GMM to decompose data samples of the same category to obtain Gaussian coefficients and take the product of the probability coefficient and the weight matrix as the feature matrix. …”
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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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Sequence-Information Recognition Method Based on Integrated mDTW by Boliang Sun, Chao Chen

“…More importantly, compared to deep -learning-based methods, the proposed method has a simpler structure and higher interpretability. …”
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Traffic sign detection method based on improved YOLOv8 by Gaihua Wang, Peng Jin, Zhiwei Qi, Xiaohuan Li

“…Aiming at the current traffic sign detection problems of leakage, misdetection and low detection accuracy of small targets, a traffic sign detection method based on improved YOLOv8n is proposed. Firstly, the Neck part of YOLOv8 is improved by designing a module that combines Attention Scale Sequence Fusion with the P2 small target detection layer (AFP) to enhance the feature extraction capability of the YOLOv8 network, enabling it to capture more small target features. …”
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Re‐evaluating fetal scalp pH thresholds: An examination of fetal pH variations during labor by Aude Girault, Camille Le Ray, Charles Garabedian, François Goffinet, Xavier Tannier

“…The aim of the study was to investigate if pH drop rate accelerates at the common thresholds (7.25 and 7.20) and to explore the possibility of identifying more accurate thresholds. Material and methods A retrospective study was conducted at a tertiary maternity hospital between June 2017 and July 2021. …”
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A Brief Overview of Stereology and Morphometry Method in Histology and Biology by Tuğba Dağdeviren, Hatice Kübra Yolcu

“…Measurements are made more quantitative by volume fraction analysis. The importance of stereology and morphometry in quantitative morphology enables the objective realization of biological structures in quantitative analysis in both methods. …”
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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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Development of co-doped ZnS-CdS quantum dots based composite sensor for the detection of cefixime (CXM) and tetracycline (TET), and application in real samples from local dairies by Shakiba Javaheri, Fatemeh Keshavarzi, Changiz Karami

“…The analysis revealed a significant decrease in fluorescence intensity with increasing antibiotic concentrations, demonstrating the method’s high specificity and sensitivity. Recovery experiments with spiked milk samples yielded high accuracy, with CXM recovery rates ranging from 96.0 to 100.77% for Bistoon milk and 100.5–100.33% for Kalleh milk; TET recovery rates ranged from 97.2 to 106.0% for Bistoon milk and 93.16–102.5% for Kalleh milk. …”
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Prevalence of Shiga Toxin-Producing Escherichia coli O157 and Non-O157 Serogroups Isolated from Fresh Raw Beef Meat Samples in an Industrial Slaughterhouse by Kiandokht Babolhavaeji, Leili Shokoohizadeh, Morteza Yavari, Abbas Moradi, Mohammad Yousef Alikhani

“…Materials and Methods. A total of 110 beef samples were collected from the depth of the rump of cattle slaughtered at Hamadan industrial slaughterhouse. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…This method first uses an iterative process to obtain a more accurate global initial value for each block's initial input. …”
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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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Semi-Automated PCR Method for Quantitating MDR1 Expression by S. Zhao, U. Consoli, R. Arceci, J. Pfeifer, W.S. Dalton, M. Andreeff

“…There were significant differences between the samples with high and medium P-gp levels comparing the two methods. …”
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Elaboration and validation of method of quantitative determination of diclofenac in polymeric microspheres by Tam Nguen Tkhi Tkhan, S. A. Kedik, A. E. Baldaev, S. V. Belyakov, V. V. Suslov, E. V. Vorfolomeeva, E. A. Petrova, S. G. Beksaev

“…Proposed method showed better repeatability than more commonly used UV-Vis spectrometry. …”
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