Effect of Packaging Methods and Storage Temperatures on the Quality of Erzurum Cheese Halva by Mustafa Atasever, Hayrunnisa Özlü, Sevda Urçar Gelen, Meryem Aydemir Atasever

“…The produced cheese halva samples were stored for two months in two different packaging methods (aerobic and vacuum packaged) and at three different storage temperatures (room temperature, +4℃ and -18℃). …”
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Comparing Frequentist and Bayesian Methods for Factorial Invariance with Latent Distribution Heterogeneity by Xinya Liang, Ji Li, Mauricio Garnier-Villarreal, Jihong Zhang

“…The design factors included sample size, noninvariance levels, and latent factor distributions. …”
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Analysis of the effect of caffeine on the efficiency of wastewater treatment processes by integrated methods by Angelika Skorupa, Małgorzata Worwąg, Mariusz Kowalczyk

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Pregabalin and Tranexamic Acid Evaluation by Two Simple and Sensitive Spectrophotometric Methods by Nawab Sher, Nasreen Fatima, Shahnaz Perveen, Farhan Ahmed Siddiqui, Alisha Wafa Sial

“…Detailed optimization process and stoichiometric studies were conducted along with investigation of thermodynamic features, that is, association constant and standard free energy changes. The method was linear over the concentration range of 0.02–200 µgmL−1 with correlation coefficient of more than 0.9990 in all of the cases. …”
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Cross‐correlating soil aggregate stability methods to facilitate universal interpretation by Deborah Aller, Joseph P. Amsili, Harold M. vanEs

“…We cross‐correlated three common water‐stable aggregate methods (WSACASH, WSAARS, and WSASLAKES) using a dataset of nearly 1400 samples and developed pedotransfer functions using random forest models to evaluate method performance. …”
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Research on Non-Probabilistic Reliability Partitioning Methods for Large Workspace Robots by Jianping Sun, Weian Yang, Xin Meng, Jun Peng, Zhaoping Tang

“…The current conventional stereotyping method ignores the uncertainty in the robotic system; the probabilistic or fuzzy method is often due to the lack of statistical samples in the project, and it is difficult to accurately define the probabilistic or fuzzy model because the probabilistic distribution pattern or fuzzy affiliation cannot be known in advance. …”
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Performance Comparison of Plasmonic Sensors via Ion Reduction and KOH Methods by Ruqaya Shlaga, Alwan Alwan, Mohammed Mohammed

“…XRD, EDX, FESEM and SERS were used to analyze the PSi samples and the AgNP/PSi chemical sensors. The results of the AgNPs/PSi SERS substrates from both methods showed that the ion reduction process was more effective in detecting the CIPRO antibiotics at their lowest concentrations. …”
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COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS IN CLASSIFYING THE QUALITY OF PALU SHALLOTS by Desy Lusiyanti, Selvy Musdalifah, Agusman Sahari, Iman Al Fajri

“…This study conducts a comparative analysis of various machine learning methods for classifying the quality of Palu shallots based on the Indonesian National Standard (SNI). …”
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The Influencing Factors and Calculation Methods of Rock Electrical Parameters of Carbonate Reservoirs by WU Guohai, WANG Kun, FENG Lixiang, SUN Qiao, LI Yonggui, YANG ning, YANG Yuanqi, SUN Liguo

“…According to the reservoir classification of the sample points, the variation range, influencing factors and variation laws of rock and electrical parameters of various reservoirs are obtained, and the m value of each type of reservoir is obtained by fitting, and the adjustment method of the m value is given. …”
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Experiences of Palestinian patients with hospital services: a mixed-methods study by Mahmoud Radwan, Sahar Hassan, Adel Takruri, Carol El Jabari, Inad Nawajah

“…Background This study aimed at assessing patient experiences with hospital services and key factors associated with better experiences.Methods The study design is cross-sectional supported by qualitative interviews. …”
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Comparative performance evaluation of bisulfite- and enzyme-based DNA conversion methods by Roy B. Simons, Faidra Karkala, Marta M. Kukk, Hieab H. H. Adams, Manfred Kayser, Athina Vidaki

“…Finally, we converted 10 ng of 22 genomic DNA samples using both methods. We observed an overestimation of the BC DNA recovery (130%) and a low recovery for EC (40%). …”
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Patient Perspectives on Open-Door Policies in Psychiatry: Mixed Methods Study by Timur Liwinski, Robert Davidson, Jan Sarlon, Rainer Gaupp, Lukas Imfeld, Annette B Brühl, Marc Vogel, Christian G Huber, Undine E Lang

“…ObjectiveThis study aims to systematically explore psychiatric patients’ perspectives on open-door versus locked-ward treatment, identifying key themes and quantifying preferences within a large clinical sample. MethodsA hybrid questionnaire survey was conducted in September 2023 at the University Psychiatric Clinics (UPK) Basel. …”
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Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods by Dr Conor Rosato

“…In this study, we propose a novel approach that extends the state-of-the-art for detecting nosocomial disease outbreaks using Sequential Monte Carlo methods, also known as particle filters (PFs). PFs have emerged as powerful tools for disease surveillance and have been widely used to estimate the state of a disease based on noisy observations. …”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…The practical implementation of the methods for detecting and eliminating outliers used in this work can be a tool for calculating more accurate indicators in any area, for example, to improve forecasting the stock price. …”
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Impact of the small sided games training method on the anaerobic endurance of U-17 soccer players by Galih Pamungkas, Sumaryanto Sumaryanto, Komarudin Komarudin

“…Recent research is needed to develop small side games training methods to be more varied, innovative and creative in order to develop the achievements of young players in the sport of football. …”
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GAN data reconstruction based prediction method of telecom subscriber loss by Kehong A, Xiaodong HU

“…Users are the core of operators’ interests.With the introduction of the policy of transferring network with a number, the competition between operators becomes more and more fierce.In order to accurately predict subscriber loss tendency in advance, a prediction method of subscriber loss based on generative adversarial network data reconstruction was proposed.Firstly, the dirty data in the telecom subscriber loss data was used by effective data preprocessing method.Secondly, the GAN was used to reconstruct the telecom subscriber loss data to solve the problem of the imbalance of the telecom subscriber loss data.Finally, extreme gradient boosting algorithm was used to train the telecom subscriber loss prediction model based on GAN reconstruction and the SMOTE sampling model based on synthetic minority oversampling technique sampling method respectively, and compare the prediction accuracy of the two models.The experimental results show that the prediction accuracy of the GAN reconstructed telecom subscriber loss prediction model is increased by 6.75%, the accuracy rate is increased by 25.91%, the recall rate is increased by 30.91%, and the F1-score is increased by 28.73% compared with the unreconstructed prediction model.This method can effectively improve the accuracy of telecom subscriber loss prediction.…”
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New multifactor spatial prediction method based on Bayesian maximum entropy by YANG Yong, ZHANG Chutian, HE Liyuan

“…Moreover, this method performs better than the ordinary Kriging do for the prediction with fewer sampling points.…”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…This work aims to categorize consumer turnover in banks by using a new ensemble approach combining many machine learning methods, hence enhancing churn prediction models. …”
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Image Segmentation Method Combining Nonlocal Criteria With Graph Cut Theory by Guilin Yao, Heyuan Liu, Dongliang Zhang

“…Local methods often result in blurred segmentation due to their reliance on overly localized color sampling models. …”
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A New BiRNN-SVA Method for Side Lobe Suppression by Shuyi Liu, Yan Jia, Yongqing Liu, Limin Zhai, Xiangkun Zhang

“…The image processed with the proposed method retains more fine details and edge features. …”
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