Sessile Drop Method Prediction of Particleboard Mechanical Properties by Mekro Permana Pinem, Aldiansyah Rudy Adiwinoto, Yusvardi Yusuf, Dhimas Satria, Dwianto Dwianto, Sunardi Sunardi, Hendra Hendra, Nufus Kanani, Harly Demustila, Dimas Triwibowo

“…It is necessary to have a rapid and low-cost presumption of the mechanical particleboard properties toward more efficient manufacturing. This work proposes a simple sessile drop method to indicate particleboard mechanical properties. …”
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Optimization of the Method for Spectrofluorimetric Determination of Aluminum Impurities in Substances by E. V. Vishnyakov, A. A. Tolstikova, J. E. Generalova, A. K. Kaldybaeva, I. I. Terninko

“…The admixture of aluminum in the State Pharmacopoeia of the Russian Federation XV is determined by the spectrofluorimetric method using the ligand – 8-hydroxyquinoline in chloroform. …”
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A non-invasive method for screening mitochondrial diabetes by Hangyu Fang, Hangyu Fang, Xiaoe Li, Shuping Wang, Mei Zhang, Victor Wei Zhang, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu, Chao Xu

“…Statistical analysis revealed a significant difference in clinical manifestations between MDM and non-MDM patients. MDM patients were more likely to experience neurological hearing loss and multiple systemic manifestations, and their condition was consistent with maternal inheritance, in line with previous research findings.ConclusionThe detection of the m.3243A>G mutation through the collection of oral exfoliated cells offers several advantages over other methods, including simplicity, non-invasiveness, and high specificity and sensitivity. …”
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PERFORMANCE ANALYSIS OF OPTIMIZATION METHODS FOR SOLVING TRAVELING SALESMAN PROBLEM by Chandra Agung, Natalia Christine

“…Exact method yields optimal solution but spends more time when the number of cities is increasing and approximate method yields near optimal solution even optimal but spends less time than exact methods. …”
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Modern vs Traditional: Comparative Study of Efficacious Arabic Language Learning Methods by Budi Pratama, Haerani Kadar, Busyro Husaini, Muslih Abdul Aziz, Dimas Adi Saputra

“…Hence, it can be concluded that the results after modern learning methods implementation are considered more effective to apply in the Arabic language learning process. …”
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Do delayed responses introduce bias in ecological momentary assessment? Evidence from comparisons between self-reported and objective physical activity by Stefan Schneider, Stefan Schneider, Stefan Schneider, Meynard J. Toledo, Doerte U. Junghaenel, Doerte U. Junghaenel, Doerte U. Junghaenel, Joshua M. Smyth, Pey-Jiuan Lee, Sarah Goldstein, Olivia Pomeroy, Arthur A. Stone, Arthur A. Stone

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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…The objectives of feature selection include simplifying modeling and making the results more understandable, improving data mining efficiency, and providing clean and understandable data preparation. …”
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Methods for nonparametric statistics in scientific research. Overview. Part 1. by M. A. Nikitina, I. M. Chernukna

“…The first part of the article describes simple nonparametric methods. The second part describes nonparametric tests for testing hypotheses of distribution type (Pearson’s chi-squared test, Kolmogorov test) and nonparametric tests for testing hypotheses of sampling homogeneity (Pearson’s chi-squared test for testing sampling homogeneity, Kolmogorov-Smirnov test).…”
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Motion Planning Methods for Automated Parking: A Comprehensive Review by CHEN Xiaoming, LI Bai, FAN Lili, ZHANG Youmin

“…This paper offers a thorough review of the motion planning methods applied within the automated parking domain, categorizing them into geometric methods, sampling methods, search methods, numerical optimization methods, and machine learning methods. …”
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FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods by Roudani Mohammed, El Moutaouakil Karim

“…In this regard, the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE is chosen in such a way that the synthetic data is as far as possible from the two closest majority data. More precisely, this method processes into six steps: (a) clustering minority class into <italic>k</italic> groups (b) selecting a safe region (c) selecting random two minority data, (d) finding the M closest majority data to these minority data using original membership functions based on Fuzzy mean and flirting results, (e) finding the <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE producing a synthetic data as close as possible to the minority class and as far as possible from the M majority data by solving a very simple multi-objective mathematical optimization model, and (f) using SMOTE to generate synthetic samples using optimal <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>-SMOTE. …”
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Effect of Rapid Thermal Annealing on Cuo Nanoparticles by Boumezrag Maria Nor Elyakin, Almi Kenza, Lakel Said, Zaghoum Noor El Imane, Touhami Hanna

“…Nevertheless, samples exposed to RTA for one hour are more susceptible to absorbing species of C=O bond (C=O bond is due to the atmospheric CO2 absorption and the presence of organic impurities from the synthesis process) than those of STA. …”
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Female genital cutting in Malaysia: a mixed-methods study by Abdul Rashid, Yufu Iguchi

“…The qualitative component of the study included in-depth interviews and focus group interviews.Setting This study was conducted in rural areas of two states in the Northern Peninsular Malaysia.Participants Due to the sensitive nature of the study, the study sample was chosen using a snowball sampling method. …”
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Effect of restoration methods on natural regeneration in the Brazilian Atlantic Forest by Casati Fernandes H, Manhães AP, Alonso JM, Mantuano D, Martini AMZ, Saavedra MM, Andrade MT, Sansevero JBB

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Investigation and Evaluation of Dually Loaded Niosomes Containing Crocin and Omega-3 by Heating & Bubble Method by Parisa Mardani, Ghadir Rajabzadeh, Bijan Malaekeh-Nikouei, Aram Bostan

“…Based on the results, B12 and H12 samples with the span: tween ratio of 4:1 and surfactant: Chol ratio of 1:1 formed better niosomes based on particle size, PDI, EE, and zeta potential.In the optimum conditions, the EE of crocin and ω-3 in heating method were 76% and 32%, and in bubble method they were 73% and 28%, respectively.Stability of niosomesThe stability of the optimum niosomes prepared by bubble and heating methods were evaluated at 4°±2°C, 25±2°C, and 37°±2°C for 90 days, by means of stability in size, PDI, and EE.              …”
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DEVELOPMENT OF METHODS FOR DETERMINATION OF SPECIFIC IMPURITIES IN THE GLUTATIONION RESTORED SUBSTANCE by K. A. Alexeeva, D. I. Pisarev, A. Yu. Malyutina, N. N. Boyko

“…A comparative analysis of the data obtained makes it possible to state that the OF-HPLC method with pre-column derivatization is more reliable, since it is more sensitive to impurities, and also makes it possible to study the UV profiles of impurity components better than the TLC method. …”
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Simple and accessible methods for quantifying isolated mucins for further evaluation by Hannah J. McIntire-Ray, Elex S. Rose, Stefanie Krick, Jarrod W. Barnes

“…In this study, we present a detailed workflow for the isolation, quantitation, and evaluation of mucin proteins. These methods are applicable to a variety of biological, mucin-containing samples from the airways and other mucosal organ systems. …”
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Interpolation methods for creating a scatter radiation exposure map by Elicardo Alves de Souza Goncalves, Celio Simonacci Gomes, Luis Fernando Oliveira, Marcelino Jose Anjos, Davi Ferreira Oliveira, Ricardo Tadeu Lopes

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Comparative evaluation of feature reduction methods for drug response prediction by Farzaneh Firoozbakht, Behnam Yousefi, Olga Tsoy, Jan Baumbach, Benno Schwikowski

“…This study presents the first comparative evaluation of nine different knowledge-based and data-driven feature reduction methods on cell line and tumor data. Our analysis employs six distinct machine learning models, with a total of more than 6,000 runs to ensure a robust evaluation. …”
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Gene expression data classification: some distance-based methods by Olusola Samuel Makinde

“…Micro-array dataset is a classical example of high throughput data characterized with more features(genes) than sample points(gene expression levels). …”
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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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