Shengxue Busui Decoction activates the PI3K/Akt and VEGF pathways, enhancing vascular function and inhibiting osteocyte apoptosis to combat steroid-induced femoral head necrosis by Manting Liu, Jiexiang Ye, Runtian Wu, Dongqiang Luo, Tao Huang, Dandan Dai, Kexin Wang, Yanping Du, Junwen Ou

“…GO/KEGG enrichment and ssGSEA analyses were performed to identify critical pathways. Cytoscape and machine learning (SVM) were used for target prediction and molecular docking validation. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…Methods By using data from the Gene Expression Omnibus (GEO) database, we employed machine learning methods to discover prognostic ARGs and create a risk score. …”
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Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-econ... by Zhaoyang Zuo, Junhua Wang, Mohammed A. Alghassab, Nashwan Adnan Othman, Ahmad Almadhor, Fahad M. Alhomayani, Hind Albalawi, Samah G. Babiker, Barno Abdullaeva, Aboulbaba Eladeb

“…Additionally, the machine learning optimization technique is employed to optimize the system, significantly reducing computational costs and runtime for the optimization process. …”
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Penerapan Logika Fuzzy Dan Metode Profile Matching Pada Sistem Pakar Medis Untuk Diagnosis Covid-19 Dan Penyakit Lain by Rusliyawati Rusliyawati, Agus Wantoro, Erliyan Redy Susanto

“…Berbagai macam upaya diagnosis telah dilakukan, seperti Rapid Diagnostic Test (RDT), RT-PCR, CT-Scan Image, dan machine learning, namun masih memiliki beberapa kelemahan. …”
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Teknologi Text To Speech Menggunakan Amazon Polly Untuk Meningkatkan Kemampuan Membaca Pada Anak Dengan Gejala Disleksia by Karlina Diah Fatmawati, Imam Tahyudin

“…Penelitian ini bertujuan untuk meningkatkan kemampuan membaca menggunakan teknologi Text-To-Speech (TTS) dengan Machine Learning Amazon Polly yang ada pada AWS cloud. …”
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Pragmatic performance, its relationship with symptom severity, and early clinical predictors of pragmatics in 5 ~ 6-year-old children with autism spectrum disorder by Lu Qian, Ning Ding, Hui Fang, Ting Xiao, Bei Sun, HuiYun Gao, XiaoYan Ke

“…Furthermore, hierarchical multiple regression analyses and machine learning techniques were performed to explore the effects of early potential predictors of pragmatic development in the ASD group. …”
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Analisis Sentimen Berbasis Aspek Pada Ulasan Pelanggan Restoran Menggunakan Algoritma Support Vector Machine (Studi Kasus: Depot Bamara) by Muhammad Fariz Firdaus, Dian Eka Ratnawati, Nanang Yudi Setiawan

“…One solution that can be implemented is using aspect-based sentiment analysis with the help of machine learning. Aspect-based sentiment analysis provides more focused knowledge on each aspect of the restaurant, and the use of machine learning allows the utilization of reviews with minimal human resources. …”
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Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses by Sijun Li, Lanfeng Sun, Hongmi Huang, Xing Wei, Yuling Lu, Kai Qian, Yuan Wu

“…Following that, the best machine learning model which is validated by GSE143272 dataset and predictor molecules were identified. …”
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Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey by Nikolaus Rauch, Matthias Harders

“…This ranges from anatomical visualizations, via surgical training systems, to machine learning-based anatomical segmentation frameworks. …”
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Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video by Vladislavs Dovgalecs, Rémi Mégret, Yannick Berthoumieu

“…We propose to combine several machine learning approaches in a time regularized framework for image-based place recognition indoors. …”
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Modelling potential impacts of climate change on the oak spatial distribution (Case study: Ilam and Lorestan provinces) by Mohammad Safaei, Hani Rezayan, Parviz Zeaiean Firouzabadi, Ali asghar Torahi

“…For this purpose, five regression-based and machine learning approaches, four climatic variables related to temperature and precipitation and two optimistic (RCP 2.6) and pessimistic (RCP 8.5)  greenhouse-gas scenarios were used. …”
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Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies by Paul Bosch, Mauricio Herrera, Julio López, Sebastián Maldonado

“…We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. …”
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Error-driven upregulation of memory representations by Alexander Weuthen, Hans Kirschner, Markus Ullsperger

“…A localizer-based machine learning model displayed a network of cognitive control regions, including posterior medial frontal and dorsolateral prefrontal cortices, whose activity was related to face-processing evidence in the fusiform face area. …”
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Model of Automatic Classification and Localization of Images by L. V. Serebryanaya, K. Y. Bochkarev, A. Y. Popitich

“…Analysis of models, methods and algorithms has shown that for solving the set task it is preferable to use machine learning, an artificial neural network and a genetic algorithm. …”
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Rapid review of the COVID-19 pandemic’s impact on the digitalization of higher education by Chukwuere Joshua

“…Many digitalization tools such as social media, augmented reality, machine learning, and other emerging technologies are used to accelerate the higher education process during the COVID-19 pandemic (new normal).…”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Many analyses include multiple Machine Learning algorithms for various disease assessments and predictions to improve overall issues. …”
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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

“…Existing approaches for Arabic geolocation are limited in accuracy and often rely on basic machine learning techniques. Additionally, advancements in tweet geolocation for other languages often rely on distinct datasets, hindering direct comparisons and assessments of their relative performance on Arabic datasets. …”
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An Algorithm for Discretization of Real Value Attributes Based on Interval Similarity by Li Zou, Deqin Yan, Hamid Reza Karimi, Peng Shi

“…Discretization algorithm for real value attributes is of very important uses in many areas such as intelligence and machine learning. The algorithms related to Chi2 algorithm (includes modified Chi2 algorithm and extended Chi2 algorithm) are famous discretization algorithm exploiting the technique of probability and statistics. …”
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Global urban activity changes from COVID-19 physical distancing restrictions by Srija Chakraborty, Eleanor C. Stokes, Olivia Alexander

“…Here we use satellite-derived nighttime lights to quantify and map daily changes in human activity that are atypical for each urban area globally for two years after the onset of the pandemic using machine learning anomaly detectors. Metrics characterizing changes in lights from pre-COVID baseline in human settlements and quality assurance measures are reported. …”
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A dataset of Uniswap daily transaction indices by network by Nir Chemaya, Lin William Cong, Emma Jorgensen, Dingyue Liu, Luyao Zhang

“…Additionally, we developed an open-source Python framework for calculating decentralization indices, making this dataset highly useful for advanced machine learning research. Our work provides valuable resources for data scientists and contributes to the growth of the intelligent Web3 ecosystem.…”
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