Value-Oriented Consciousness by V. V. Matyushina

Subjects: “…randomness…”
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Genetic and Plasma Proteomic Approaches to Identify Therapeutic Targets for Graves’ Disease and Graves’ Ophthalmopathy by Ke C, Yu Y, Li J, Yu Y, Sun Y, Wang Y, Wang B, Lu Y, Tang M, Wang N, Chen Y

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Cerebrospinal fluid metabolites as potential biomarkers for epilepsy: Insights from genome‐wide association studies by Zhenxiang Zhao, Na Xing, Lin Hou

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Analysis of the relationship between environmental particulate matter exposure and congenital diseases, as well as the epidemiological trends and burden of impact on newborns by Mulati Julaiti, Dilixiati Wubuli, Tingting Cui, Nadire Nijiati, Pengfei Huang, Bowen Hu

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Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances by Qiang Wu, Dongdong Song, Chenzhu Wang, Fei Chen, Jianchuan Cheng, Said M. Easa, Yitao Yang, Wenchen Yang

“…This study proposes random-parameters multinomial logit models, with heterogeneity in means and variances, to explore the differences in the factors influencing injury severities of drivers involved in different types of two-vehicle crashes. …”
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Retracted: Based on Knowledge Recognition and Using Binomial Distribution Function to Establish a Mathematical Model of Random Selection of Test Questions in the Test Bank by Journal of Electrical and Computer Engineering

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Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model by Suresh Kumar

“…Computational prediction using machine learning approach has been widely used in various fields of bioinformatics based on the fact all the information contains in amino acid sequence. In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.…”
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Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm by Elhadi Adam, Houtao Deng, John Odindi, Elfatih M. Abdel-Rahman, Onisimo Mutanga

“…An integration of a newly developed guided regularized random forest (GRRF) and a traditional random forest (RF) was used for feature selection and classification, respectively. …”
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A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System by Liming Yao, Jiuping Xu

“…This paper focuses on the development of a bilevel optimization model with random coefficients for a production-inventory system. …”
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Keratitis-Ichthyosis-Deafness Syndrome, Atypical Connexin GJB2 Gene Mutation, and Peripheral T-Cell Lymphoma: More Than a Random Association? by Claudio Fozza, Fausto Poddie, Salvatore Contini, Antonio Galleu, Francesca Cottoni, Maurizio Longinotti, Francesco Cucca

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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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Random Tree Algorithm to Analyse the Relation between Type of Traumatic Dental Injuries and Its Demographic and Predisposing Factors - A Cross-Sectional Study by Mohammad Kamran Khan, Mahendra Kumar Jindal

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Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering by Zhang Majun

“…This research utilizes the KDDCUP99 dataset to incorporate K-means clustering with three classifiers: Random Forest (RF). Naïve Bayes (NB). and Support Vector Machine (SVM) with the goal to boost the accuracy of predicting network intrusions. …”
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Durable Leukemic Remission and Autologous Marrow Recovery with Random Chromosomal Abnormalities after Allogeneic Hematopoietic Stem Cell Transplantation for Chronic Lymphocytic Leukemia by Hidekazu Nishikii, Naoki Kurita, Atsushi Shinagawa, Tatsuhiro Sakamoto, Manabu Kusakabe, Yasuhisa Yokoyama, Takayasu Kato, Mamiko Sakata-Yanagimoto, Naoshi Obara, Yuichi Hasegawa, Naoya Nakamura, Shigeru Chiba

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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…Next, we will modify and use an AlexNet-Random Forest (AlexNet-RF) based classifier for robust lesion classification. …”
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Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur by Puteri Sejati, Munawar Munawar, Marzuki Pilliang, Habibullah Akbar

“… Penelitian ini bertujuan untuk mendapatkan model prediksi terbaik dari data Penerimaan Mahasiswa Baru tahun 2014 hingga 2019 dengan membandingkan Naive Bayes, K-Nearest Neighbor, dan Random Forest. Penelitian ini menggunakan metode klasifikasi untuk memprediksi calon mahasiswa. …”
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Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

“…The target image has been retrieved for the given query image by training the random forest classifier. The proposed colour, gray, advanced texture, shape feature, and random forest classifier with optimized PSO (CGATSFRFOPSO) provide efficient retrieval of images in a large-scale database. …”
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The Effect of Postoperative Tranexamic Acid and Dexamethasone on Quality of Recovery After Arthroscopic Rotator Cuff Repair: a Double-Blinded, Randomized Controlled Trial by Jiang X, Xu C, Yuan C, Gao W, Liu W, Wang Y, Wang H, Yu W, He Y

“…Patients were randomized to intravenously receive 200mL of normal saline (control group), 200mL of 1g TXA in saline (TXA group), or 200 mL of 1g TXA and 5mg DEX in saline (TXA+DEX group) within 2 hours postoperatively. …”
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Gut microbiota influence on lung cancer risk through blood metabolite mediation: from a comprehensive Mendelian randomization analysis and genetic analysis by Yizhao Du, Qin Wang, Zongmei Zheng, Hailun Zhou, Yang Han, Ao Qi, Lijing Jiao, Lijing Jiao, Yabin Gong

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Efficacy of dexamethasone or clonidine as adjuvants in interscalene brachial plexus block for preventing rebound pain after shoulder surgery: a randomized clinical trial by Layana Vieira Nobre, Leonardo Henrique Cunha Ferraro, Juscelino Afonso de Oliveira Júnior, Vitória Luiza Locatelli Winkeler, Luis Flávio França Vinhosa Muniz, Hiago Parreão Braga, Plínio da Cunha Leal

“…Methods: This was a multicenter, prospective, parallel grouping, randomized clinical trial conducted with patients receiving a single injection of bupivacaine 0.375% in interscalene block ultrasound guided and general anesthesia for shoulder surgery were randomly assigned to either no additives (control), clonidine (30 mcg), or dexamethasone (4 mg). …”
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