A Brief Review of Network Embedding by Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

“…Learning the representations of nodes in a network can benefit various analysis tasks such as node classification, link prediction, clustering, and anomaly detection. Such a representation learning problem is referred to as network embedding, and it has attracted significant attention in recent years. …”
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Pulmonary Hypertension due to a Pulmonary Artery Leiomyosarcoma: A Case Report by Seyyed Hassan Adeli, Bardia Nemati, Mahboubeh Jandaghi, Mohammad Mahdi Riahi, Fatemeh Hosseinzadeh, Fatemeh Salarvand

“…In addition to clinical prediction scores and CT and MRI findings to identify the patients with pulmonary artery sarcoma, PET scanning is the diagnosis of choice in differentiating embolism and neoplasm and is strongly recommended in these patients.…”
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Military-political Processes in the Caucasus Region and the Security of Russia by A. V. Vilovatykh, A. V. Rogovaya

“…The failures in the assessment and the prediction of the processes development influence on the safety of Russia. …”
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DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches by Yi-Hsuan Tsai, Prasenjit Mitra, David Taniar, Tun-Wen Pai, Tun-Wen Pai

“…The combination of ALX3, NPTX2, and TRIM58 was selected from distinct functional groups. An accuracy prediction of 93.3% could be achieved by validating the ten most common cancers, including the initial five low-survival-rate cancer types.…”
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Pasting profiles and gel properties of rice flour blended with native, cross-linked, and acetylated tapioca starch by Wongkhueng Kanyapat, Thumthanaruk Benjawan, Wandee Yuree, Lamsal Buddhi, Rungsardthong Vilai

“…The information obtained herein is useful for the prediction of product properties that are rich in starch.…”
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Amortissement des phonons dans un superfluide 2D : insuffisance de la règle d’or de Fermi à basse température by Castin, Yvan, Serafin, Alan, Sinatra, Alice

“…Using the many-body Green’s function method, we predict that, unexpectedly, this is not true in two dimensions, contrary to the three-dimensional case. …”
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A QSAR Study Based on SVM for the Compound of Hydroxyl Benzoic Esters by Li Wen, Qing Li, Wei Li, Qiao Cai, Yong-Ming Cai

“…The External Standard Deviation Error of Prediction (SDEPext), fitting correlation coefficient (R2), and leave-one-out cross-validation (Q2LOO) are used to value the reliability, stability, and predictive ability of models. …”
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Relation of body mass index to postoperative atrial fibrillation by A.C. Iliescu, F.C. Corciova, I. Achitei, M. Floria, G. Tinica

“…We developed a multivariate prediction model combining six variables associated with increased risk of postoperative atrial fibrillation (advanced age, body mass index, moderate tricuspid regurgitation, prolonged ventilation, longer staying in the intensive care units and dilated left atrium (≥ 35 ml/m2)) that has moderate predictive value (64.7 %). …”
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Sequential selection and calibration of video frames for 3D outdoor scene reconstruction by Weilin Sun, Manyi Li, Peng Li, Xiao Cao, Xiangxu Meng, Lei Meng

“…It divides the scene reconstruction task into three stages: initial prediction, refinement, and fusion stage. The first two stages extract 3D scene representations from each viewpoint, while the final stage involves selection, calibration and fusion of object positions and orientations across different viewpoints. …”
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The Diagnosis and Treatment of Infantile Nystagmus Syndrome (INS) by Sangeeta Khanna, Louis F. Dell'Osso

“…The use of the eXpanded Nystagmus Acuity Function (NAFX) on nystagmus data yields both an accurate measure of foveation quality and a prediction of maximum potential acuity for the patient's waveform. …”
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Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China by Junfeng Dai, Linyan Pan, Yan Deng, Zupeng Wan, Rui Xia

“…The modified SWAT model improves prediction accuracy in karst areas and holds significant practical value for guiding non-point source pollution control in agricultural watersheds.…”
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An Effective Approach for Modular Community Detection in Bipartite Network Based on Integrating Rider with Harris Hawks Optimization Algorithms by Bader Fahad Alkhamees, Mogeeb A. A. Mosleh, Hussain AlSalman, Muhammad Azeem Akbar

“…Experimental results have shown that the proposed method demonstrated a maximal fitness of 0.74353 and maximal modularity of 0.77433, outperforming the state-of-the-art approaches, including h-index-based link prediction, such as Multiagent Genetic Algorithm (MAGA), Genetic Algorithm (GA), Memetic Algorithm for Community Detection in Bipartite Networks (MATMCD-BN), and HHO.…”
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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…The research addresses the limitations of traditional numerical weather prediction models, which often fail to accurately forecast localized wind patterns. …”
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Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack by Pengcheng QU, Jingzhao LI, Zechao LIU

“…Finally, in the target tracking stage, a multi-target motion feature prediction mechanism fused with GRU and Kalman filter was designed to solve the problem of target ID flipping caused by personnel overlap and occlusion, which effectively improved the accuracy of coal mine personnel tracking. …”
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Carbon nanotube manipulates crystallization kinetics and viscoelastic behavior of PP/EBC blends by Nariman Rajabifar, Payam Yazdandoost, Parnian Gholami Dastnaei, Amir Rostami

“…Highlights Theoretical prediction of the MWCNTs localization in the PP/EBC blends. …”
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A Parametric Study of Performance of Two Solar Wind Velocity Forecasting Models During 2006–2011 by Sandeep Kumar, Nandita Srivastava

“…We carried out an extensive parametric study of the performance of the Model1 (PFSS+WSA+HUX) and Model2 (PFSS+SCS+WSA+HUX) for SW velocity prediction at L1. We implemented this framework on 60 Carrington Rotations from CR2047 to CR2107 during 2006–2011, covering the descending and deep minimum phase of solar cycle (SC) 23, and the ascending phase of SC 24. …”
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Mid‐Latitude Study of Ionospheric Variation Over Iran Associated With Equatorial Ionization Anomaly (EIA), and Artificial Neural Networks Model Development by M. Vazifehkhah Hafteh, A. Mahmoudian, A. Yoshikawa, K. Girgis

“…Employing Artificial Neural Networks (ANN) for local TEC prediction, Iran is segmented into eight regions based on GNSS receiver distribution. …”
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Application of Gabor Image Recognition Technology in Intelligent Clothing Design by Sujuan Qiao

“…Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. Experiments show that the algorithm can effectively shorten the calculation time of Gabor image feature extraction and can obtain a good speedup in a multicore environment. …”
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Impact of Climate Change and Air Pollution Forecasting Using Machine Learning Techniques in Bishkek by Erkin Isaev, Boobek Ajikeev, Urmatbek Shamyrkanov, Kenjebek-uulu Kalnur, Karimov Maisalbek, Roy C. Sidle

“…We evaluate the performance of several machine learning algorithms applied to air quality and meteorology datasets and compare prediction accuracies of Bishkek air quality given its significant public importance. …”
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Optimization, Characterisation and Evaluation of Biochar Obtained from Biomass of Invasive Weed Crotalaria burhia by Loveena Gaur and Poonam Poonia

“…The model represents a p-value less than 0.0500 and a high F value, which denotes its reliable and accurate prediction of experimental data. A strong correlation was observed between actual and predicted values for biochar composites fixed carbon, carbon, surface area, pore size, and pore volume. …”
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