A Convolutional Neural Network Model for Classifying Resting Tremor Amplitude in Parkinson’s Disease by Augusto Ielo, Serena Dattola, Lilla Bonanno, Paolo De Pasquale, Alberto Cacciola, Angelo Quartarone, Maria Cristina De Cola

“…Our method exploited the ability of CNNs to classify RT amplitude efficiently, aiming at simplify diagnostic processes, enhancing the accuracy of the RT assessment in clinical settings.…”
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Using ecological and life-history characteristics for projecting species' responses to climate change by Sven Pompe, Jan Hanspach, Franz W. Badeck, Stefan Klotz, Helge Bruelheide, Ingolf Kühn

“…First, we established relationships between modelled loss of occupied grid cells (‘range loss’, R²=0.29), or gain of currently unoccupied grid cells (‘range gain’, R²=0.30), for 195 plant species with distributional data under the A1FI climate change scenario up to 2080, and ecological and life history traits (life form, leaf persistence, ecological strategy, pollen vector, Ellenberg indicator values and characteristics derived from species’ ranges). …”
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Graph-Based COVID-19 Detection Using Conditional Generative Adversarial Network by Imran Ihsan, Azhar Imran, Tahir Sher, Mahmood Basil A. Al-Rawi, Mohammed A. Elmeligy, Muhammad Salman Pathan

“…These reconstructed features serve as input to a classification module, comprising a multi-layer neural network, GCN, adept at processing graph-structured data, alongside conventional machine learning classifiers such as Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Random Forest (RF), facilitating categorization of chest X-ray images into COVID-19, pneumonia, and normal cases. …”
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Oxidative stress-related genes in uveal melanoma: the role of CALM1 in modulating oxidative stress and apoptosis and its prognostic significance by Yue Wu, Xiaoyan Cai, Menghan Hu, Runyan Cao, Yong Wang

“…CALM1 upregulation also mitigated the inhibitory effects of H2O2 on key cellular processes, including proliferation, migration, and invasion.ConclusionThis study underscores the critical role of OSGs in the progression of UVM and their potential as prognostic biomarkers and therapeutic targets. …”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…This study aims to predict the spatial distribution of nematode associations from 25 m to 2500 m water depth over an area of 350,000 km² and understand the major oceanographic processes influencing them. The study considered data from 245 nematode genera and 44 environmental parameters from 100 stations. …”
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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…Furthermore, decision tree, random forest, support vector machine (SVM), logistic regression, XGBoost, blending ensemble, and convolutional neural network (CNN) algorithms with corresponding optimized hyperparameters and synthetic minority oversampling technique (SMOTE) have been applied for learning behavior classification. …”
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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…Extensive experimentation was conducted using K-Nearest Neighbors (KNN), Support Vector Machines (SVMs), Decision Tree (DT), Random Forest (RF), Bidirectional Long Short-Term Memory (BiLSTM), Gated Recurrent Units (GRUs), Convolutional Neural Networks (CNNs), autoencoders, and transformers. …”
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Pemodelan Text Mining dalam Pengkodean Penyakit Pasien Berdasar Kode ICD 10 by Parjono Parjono, Sri Kusumadewi

“…Metode pendekatan yang diterapkan adalah Clinical Text Mining dengan Natural Language Processing dimana metode ini dirasa paling tepat untuk mengekstraksi informasi dari diagnosis dokter yang tidak terstruktur. …”
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Innovative gene delivery systems for retinal disease therapy by Hongguang Wu, Ling Dong, Shibo Jin, Yongwang Zhao, Lili Zhu

“…This review focuses on two principal categories of gene delivery vectors used in the treatment of retinal diseases: viral and non-viral systems. …”
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Identification of biomarkers for chronic renal fibrosis and their relationship with immune infiltration and cell death by Jiaqi Shi, Xinyue Qin, Haonan Sha, Rong Wang, Hao Shen, Yinhao Chen, Xiaolan Chen

“…UUO development is closely linked to immune cell infiltration, activation of inflammatory pathways, disulfiram, and cuproptosis processes.…”
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Islam in Front of the Challenges of Modernity: World Politics, State System, Public Opinion by V. V. Orlov

“…The authors examine the role of Muslim states in multi-vector development of regional and global politics, analyze the impact of Islamic structures and concepts on present system of international relations. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Moreover, we analyzed 1000 recent publications on “ML in IoT” from IEEE Xplore using support vector machine, random forest, and decision tree classifiers to identify emerging topics and application domains. …”
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Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1 by Maxence Dodin, Florent Levavasseur, Antoine Savoie, Lucie Martin, Emmanuelle Vaudour

“…Nevertheless, these image processing approaches considered one single EOM, one season and/or year only and were limited to one surface condition prior to spreading. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Using a large body of work, including 42 vertical wells, an extensive dataset was constructed and meticulously packed using processes such as feature selection and data manipulation. …”
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Comparative clinical and epidemiological characteristics and cytokine profile of viral diarrhea in adults by N. V. Epifantseva

“…The concentration of  proinflammatory and anti-inflammatory cytokines in blood serum  was determined by ELISA using reagents from Vector-best LLC(Novosibirsk). Statistical processing of the obtained data was carried out using electronic programs Microsoft Excel 2010, Statistica 6.0, with the determination of the statistical significance of differences at the achieved significance level p≤0.05 using the Mann – Whitney test (U-test). …”
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Metabolic Engineering of <i>Zymomonas mobilis</i> for Xylonic Acid Production from Lignocellulosic Hydrolysate by Banrui Ruan, Xiongying Yan, Zhaoqing He, Qiaoning He, Shihui Yang

“…Bio-based xylonic acid produced from inexpensive lignocellulosic biomass has enormous market potential and enhances the overall economic benefits of biorefinery processes. In this study, the introduction of genes encoding xylose dehydrogenase driven by the promoter P<i>pdc</i> into <i>Z. mobilis</i> using a plasmid vector resulted in the accumulation of xylonic acid at a titer of 16.8 ± 1.6 g/L. …”
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Motivation toward physical activity and nutrition in older cancer patients: the MONAGE protocol using ecological momentary assessment and accelerometers by Mathis Brusseau, Blandine Gallet-Suchet, Gérard Dray, Sophie Gendrault, Lobna Harguem, Julie Boiché

“…This approach can provide insights into the temporal dynamics of psychological processes, such as motivation toward health behaviors. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…FVC estimation methods have evolved from traditional manual interpretation to advanced remote sensing technologies, such as satellite data analysis and unmanned aerial vehicle (UAV) image processing. Extraction methods based on high-resolution UAV data are being increasingly studied in the fields of ecology and remote sensing. …”
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Machine-Learning-Based Biomechanical Feature Analysis for Orthopedic Patient Classification with Disc Hernia and Spondylolisthesis by Daniel Nasef, Demarcus Nasef, Viola Sawiris, Peter Girgis, Milan Toma

“…The performance of various ML models, including decision trees, support vector machines, and neural networks, is evaluated using metrics such as accuracy, AUC, recall, precision, F1, Kappa, and MCC. …”
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