Pedagogical Evaluation and Recommendations on Software Design for English Intonation Learning by Nawel Bengrait

“…Other speech tools as Speech Analyzer, Praat, and RTPitch provide automatic audio-visual assessment of intonational patterns and measurement of pitch and intensity values. …”
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Predicting the academic achievement of students using black hole optimization and Gaussian process regression by Yanyu Chen, Xiaolin Yao

“…The proposed method can assist teachers in analyzing student behavioral patterns, understanding academic performance impact mechanisms, and developing effective learning supervision plans.…”
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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

“…The dataset used was obtained from the UCI Machine Learning Repository and includes patients' clinical and demographic features. The initial dataset consisted of [number of data] records, with an imbalanced class distribution between patients with and without heart disease. …”
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“VTMine for Visio”: Graphical Tool for Modeling in Process Mining by Sergey A. Shershakov

“…There are presented features of the architecture design of the software extension for application in the process mining domain and integration with the existing libraries and tools for working with data. …”
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Electoral Behavior of Moscow Humanities University Students between Elections by Albina I. Kagarmanova

“…The research objective was to detect electoral behavior patterns in students of the RANEPA Moscow campus and the Moscow Pedagogical State University. …”

Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

“…The mechanism we propose is the likely origin of a variety of numerical cognition patterns observed in humans and other animals.…”
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Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies by Fatih Demir

“…A strong CNN model created from scratch is used to extract deep features. Utilizing the recently developed RSWS classification method, the deep characteristics are evaluated. …”
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THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN MEDICAL DIAGNOSTICS by Gulchin Abdullayeva, Ulkar Alizada

“…However, the characteristic features of each image indicate that it follows certain regular patterns. …”
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Gut mycobiome maturation and its determinants during early childhood: a comparison of ITS2 amplicon and shotgun metagenomic sequencing approaches by Timothy Heisel, Sara Gonia, Abrielle Dillon, Susan L. Hoops, Gabriel A. Al-Ghalith, Daryl Gohl, Sagori Mukhopadhyay, Karen Puopolo, Peter Kennedy, Michael J. Sadowsky, Dan Knights, Dan Knights, Abigail J. Johnson, Jeffrey S. Gerber, Cheryl A. Gale

“…The relatively smaller contribution of fungi to the gut microbiome, as compared to bacteria, has posed technical challenges for the precise characterization of fungal communities (mycobiomes) and limited the ability to longitudinally examine mycobiome development.BackgroundThe aims of this study were to (1) characterize mycobiome maturation and identify clinical determinants of mycobiome compositional variation during the first 2 years of life and (2) compare two sequencing approaches (ITS2 amplicon and whole genome metagenomics) for characterizing mycobiome maturational features. …”
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Comprehensive fragmentation of cell-free repetitive DNA for enhanced cancer detection in plasma by Mingguang Zhang, Shuohui Dong, Wei Rao, Shiwen Mei, Gang Hu, Ling Liu, Zhen Wang, Jianqiang Tang

“…A machine learning-based multimodal model was developed using these features.ResultsThe multimodal model achieved high prediction performance for early tumor detection, even at ultra-low sequencing depths (0.1×, AUC = 0.9824). …”
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Locomotion Joint Angle and Moment Estimation With Soft Wearable Sensors for Personalized Exosuit Control by Luying Feng, Lianghong Gui, Wenzhu Xu, Xiang Wang, Canjun Yang, Yaochu Jin, Wei Yang

“…To improve the model’s accuracy and generalization, gait data from eight participants with varying walking patterns were collected. Calibrated data were used as static features and trained alongside dynamic features. …”
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ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data by Qiwei Dong, Runchen Yang, Xinrui Wang, Zongwen Feng, Chenggan Liu, Shiyu Chen, Yuxi Zhou, Dezhong Yao, Junru Ren, Qi Xu, Li Dong

“…However, few electroencephalogram (EEG) analysis methods were designed to capture these features. Here, we developed a novel approach to mine spatiotemporal information contained in EEG data. …”
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Spatial networks reveal how forest cover decreases the spread of agricultural pests by Débora C. Rother, Leandro G. Cosmo, Julia Tavella, Fredric M. Windsor, Mariano Devoto, Darren M. Evans, Paulo R. Guimarães Jr.

“…A next step in understanding the role of habitat heterogeneity in affecting pest spread is to understand how landscape features directly and indirectly affect spatial infestation patterns. …”
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Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

“…Artificial intelligence is a transformational development across multiple research areas within urban planning. …”
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P4HA2 promotes proliferation, invasion, and metastasis through regulation of the PI3K/AKT signaling pathway in oral squamous cell carcinoma by Zengpeng Chi, Qimin Wang, Xin Wang, Dagang Li, Lei Tong, Yu Shi, Fang Yang, Qingyuan Guo, Jiawei Zheng, Zhenggang Chen

“…Various databases, including TCGA, TIMER, UALCAN, GEPIA, and K-M plotter, along with paraffin-embedded samples, were used to ascertain P4HA2 expression in cancer and its correlation with clinicopathological features. P4HA2 knockdown and overexpression cell models were developed to assess its oncogenic roles and mechanisms. …”
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The contrasted impacts of grasshoppers on soil microbial activities in function of primary production and herbivore diet by Ibanez, Sébastien, Foulquier, Arnaud, Brun, Charles, Colace, Marie-Pascale, Piton, Gabin, Bernard, Lionel, Gallet, Christiane, Clément, Jean-Christophe

“…This highlights the multidimensional feature of the impacts of herbivory on ecosystem functioning, both in space and time. …”
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Diagnostics and treatment of gastroesophageal reflux disease: clinical guidelines of the Russian gastroenterological association by V. T. Ivashkin, I. V. Mayev, I. . A.s. Trukhmanov, Ye. K. Baranskaya, O. B. Dronova, O. V. Zayratyants, R. G. Sayfutdinov, A. A. Sheptulin, T. L. Lapina, S. S. Pirogov, Yu. A. Kucheryavy, O. A. Storonova, D. N. Andreyev

“…The treatment of GERD has to be individualized according to the pattern and severity of clinical symptoms. The goal of treatment is symptom relief, at erosive esophagitis - healing of erosions and complication prevention, at Barret's esophagus - prophylaxis of disease progression and dysplasia and adenocarcinoma development. …”
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Has the Three Gorges Reservoir Impacted Regional Moisture Recycling? by Jia Wei, Weiguang Wang, Mingzhu Cao, Jianyun Zhang, Junliang Jin, Guoqing Wang, Hongbin Li, Xiaolong Pan, Zongchao Ye, Adriaan J. Teuling, Shuo Wang

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Whole transcriptome analysis of unmutated sporadic ALS patients' peripheral blood reveals phenotype-specific gene expression signature by Francesca Dragoni, Maria Garofalo, Rosalinda Di Gerlando, Bartolo Rizzo, Matteo Bordoni, Eveljn Scarian, Camilla Viola, Veronica Bettoni, Giuseppe Fiamingo, Danilo Tornabene, Lucia Scanu, Orietta Pansarasa, Luca Diamanti, Stella Gagliardi

“…Classification based on clinical phenotypes could be associated with peculiar gene expression patterns shaped during lifespan, allowing the identification of specific sporadic ALS (sALS) subtypes with less heterogeneous clinical and biological features. …”
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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. The pattern and confusion produced during the methodology procedure safeguards the data more effectively as shown in the cipher text generated.…”
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