Historical Slovenian Language Resources by Tomaž Erjavec

“…The corpus contains a little more than 250,000 word tokens; each of them being annotated with hand validated linguistic features: modernised form, lemma or base form, and morhpo-syntactic description. …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Additionally, the Term Frequency-Inverse Document Frequency (TF-IDF) method is used to extract important features from text. This study aims to apply SMOTE techniques to address class imbalances in MBTI personality classification using several Naïve Bayes Classifier algorithms, including Gaussian, Multinomial, Bernoulli, Complement, and Logistic Regression based on Keirsey's model: Artisan, Guardian, Rational, and Idealist. …”
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A discourse-oriented approach to teaching communicative aspects of syntax to master's and postgraduate students of non-linguistic universities by E.A. Balygina, Т.V. Ermolova, O.A. Krukovskaya

“…The relevance of the study is determined by the contradiction between the existing methodological base for training master's and postgraduate students of a non-linguistic university and the need for practical teaching of foreign language syntax. …”
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Acceptance Model of Integrated Reporting in Iranian Universities by Fatemeh Hamedi, Mahnaz Molanazari, Mehrangiz Shoaa Kazemi, Ali Rahmani

“…Research findings also demonstrated that decision-makers in the realm of adopting integrated reporting are primarily swayed by the perceived characteristics of this reporting method while paying minimal heed to its inherent features. The results obtained help planners to focus on trying to create a positive perception of people about the features of this innovation instead of focusing on the technical issues of integrated reporting. …”
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An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study by Weihao Jiang, Juan Zhang, Weiqing Shi, Xuyong Cao, Xiongwei Zhao, Bin Zhang, Haikuan Yu, Shengjie Wang, Yong Qin, Mingxing Lei, Yuncen Cao, Boyu Zhu, Yaosheng Liu

“…The larger cohort (70%) was used to train machine learning-based models, while the smaller cohort (30%) served to internally validate the models. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…Machine Learning algorithms are widely used in various fields due to their strong capability to extract and display high-level features of training samples. Autoencoder networks show a high ability to identify geochemical anomalies. …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…The commentary “Investigating Diverse Research Orientations in Smart Learning Ecosystems: Uncovering Positive and Negative Impacts on Learners’ Learning Smartness” [10] by Lung-Hsiang Wong summarizes some approaches contributing to defining the future of SLEs using the three lenses of: Dream-based research, Adoption based research and Humanity based research, each of them with pros and cons. …”
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Multi-omics identification of a polyamine metabolism related signature for hepatocellular carcinoma and revealing tumor microenvironment characteristics by Yuexi Yu, Huiru Liu, Kaipeng Liu, Meiqi Zhao, Yiyan Zhang, Runci Jiang, Fengmei Wang

“…Utilizing 101 machine learning algorithms, we constructed a polyamine metabolism-related signature (PMRS) and validated its predictive power across training, testing, and external validation cohorts. …”
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Quantitative Analysis for the Reconstruction of Porous Media Using Multiple-Point Statistics by Qing Xie, Jianping Xu, Yuanda Yuan, Cong Niu

“…The selection between this two schemes and a proper data template size have thus become a new research issue, and the performance of the characteristic reproduction of the training image using this two schemes must be quantified. …”
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Analisis Penerimaan Pengguna Learning Management System (LMS) BRONE di Universitas Brawijaya berdasarkan Model Unified Theory of Acceptance and Use of Technology (UTAUT) by Lintang Trisnadi, Intan Sartika Eris Maghfiroh, Mochamad Chandra Saputra

“…However, improvements are needed in the consistency of use by lecturers and optimization of features for mobile devices. Efforts in socialization and training for the use of the BRONE LMS are also necessary to enhance system adoption among users. …”
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FNDC5 and ACOX1 as Biomarkers of Peroxisomal Activity with Contrast Outcomes in Colon Adenocarcinoma by Yuan Hepei, Zeng Jun, Khan Muhammad, Wang Baiyao, Hu Xiaoshan, Wei Hao, Wang Zhaotong, Yuan Yawei

“…Tumor microenvironment features were assessed using ESTIMATE, MCP-counter, and CIBERSORT. …”
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Detection of Railway Track Anomalies Using Interferometric Time Series of TerraSAR-X Satellite Radar Data by Philipp Bernhard, David Haener, Othmar Frey

“…These train-based methods for track condition assessment are costly and are limited by the availability of track recording vehicles. …”
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Wear Mechanism of Abrasive Gas Jet Erosion on a Rock and the Effect of Abrasive Hardness on It by Yong Liu, Huidong Zhang, Pathegama Gamage Ranjith, Jianping Wei, Xiaotian Liu

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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules by Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu

“…The GMU_D model constructed by discriminative analysis based on machine learning screening features had an excellent discriminative performance (AUC = 0.866, 95% CI: 0.858–0.874), and higher accuracy than the PKUPH model (AUC = 0.559, 95% CI: 0.552–0.567) and the Block model (AUC = 0.823, 95% CI: 0.814–0.833). …”
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Early Immunological and Inflammation Proteomic Changes in Elderly COVID-19 Patients Predict Severe Disease Progression by Shiyang Liu, Wen Xu, Bo Tu, Zhiqing Xiao, Xue Li, Lei Huang, Xin Yuan, Juanjuan Zhou, Xinxin Yang, Junlian Yang, De Chang, Weiwei Chen, Fu-Sheng Wang

“…LASSO regression screened features followed by logistic regression and receiver operating characteristic (ROC) analysis to optimize the model by incrementally incorporating features ranked by random forest importance. …”
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PSYCHOLOGICAL FACTORS OF THE FORMATION OF LEGAL AWARENESS OF STUDENTS OF HISTORICAL AND MEDICAL EDUCATION PROFILES by Dribas Svetlana, Semenov Konstantin

“…The article will be useful for teaching medical and historical subjects, students of these specialties, as well as everyone who is interested in the issue of psychological features of the formation of legal awareness. The problem of legal awareness of young people in modern conditions of the development of Ukrainian society is the most relevant task. …”
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VISUAL DIDACTIC REGULATORS OF LOGICAL-SEMANTIC TYPE by V. E. Shteinberg, N. N. Manko

“…The research methodology includes the concept of logical and semantic modeling of knowledge presented in natural language, and the concept of orienting bases of actions in teaching. The method of the present research is graphic visualization of logical and semantic modeling of knowledge.Results. …”
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Implementation of the Project “Community Police Officer”: Real Actions to Bring Police Service Closer to People (on the example of Kharkiv oblast) by M. V. Holub

“…The author has suggested appropriate measures for more effective promotion of this project, in particular: to initiate for the Department of the National Police of Ukraine to take measures aimed at creating a legal base that can ensure the effective operation of community police officers according to the legal point of view, as well as their interaction with other law enforcement agencies, introducing relevant amendments into existing regulatory documents; to prepare propositions in regard to these provisions; to develop routes and time of foot patrol by community police officers of the assigned territory, taking into account the analysis of street offenses, the location of places visited by a significant number of residents of the united territorial communities and other features of a particular united community; to make propositions for the creation of a “basic” united territorial communities in Kharkiv oblast, in terms of community police officers’ activities, to initiate and provide assistance to the Department of Preventive Activities of the Main Directorate of the National Police in Kharkiv oblast in organizing and conducting practical classes with this category of employees with visiting the specified united territorial communities; to introduce training of community police officers on the basis of Kharkiv National University of Internal Affairs, to prepare appropriate educational and methodical material; to improve the work of community police officers to ensure effective exchange of information, opportunities to quickly make decisions in case of complications, create an Internet group in the application “Telegram”, which should include police officers working within the pilot project “Community Police Officer”.…”
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Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach by Yong Li, Ying Liu, Qing Zhang, Hongwei Zhu, Chengli Wen, Xian Jiang

“…Methods Data from the Medical Information Mart for Intensive Care (MIMIC-IV, version 2.2) was randomized to training set (0.7) and internal validation set (0.3), and data from eICU(version 2.0.1) was used as external validation set. …”
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Advancing Arabic Word Embeddings: A Multi-Corpora Approach with Optimized Hyperparameters and Custom Evaluation by Azzah Allahim, Asma Cherif

“…To train our models, we collected data from three distinct sources: Wikipedia, newspapers, and 32 Arabic books, each selected to capture specific linguistic and contextual features of Arabic. …”
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