Influence of the boreal summer intraseasonal oscillation on temperature and precipitation in South Korea by Yoo‐Rim Jung, Woo‐Seop Lee

“…Therefore, monitoring both BSISO modes together is crucial for comprehending and predicting the anomalous summer climate in South Korea.…”
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LncRNA MIR210HG promotes the proliferation of colon cancer cells by inhibiting ferroptosis through binding to PCBP1 by Xiao-Qian Wang, A.-Qiang Fan, Liu Hong

“…The binding of MIR210HG to poly(rC) binding protein 1 (PCBP1) was predicted using catRAPID and confirmed through RNA pull-down and RNA immunoprecipitation (RIP) experiments. …”
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Pituitary Stalk Germ Cell Tumors: Retrospective Case Series and Literature Review by Han Chen, Ming Ni, Yun Xu, Li-Yong Zhong

“…This rare neuroimaging feature may be used as a factor to predict long-term neuroendocrine outcomes.…”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…Abstract Integrating power forecasting with wind turbine maintenance planning enables an innovative, data-driven approach that maximizes energy output by predicting periods low wind production and aligning them with maintenance schedules, improving operational efficiency. …”
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Survey on Ethereum phishing detection technology by Zhao CAI, Tao JING, Shuang REN

“…With the widespread application of blockchain technology, phishing scams have become a major threat to blockchain platforms.Due to the irreversibility, anonymity, and tamper-proof nature of blockchain transactions, phishing attacks often have a high degree of deception and concealment, causing significant losses to both users and businesses.Ethereum platform, with its smart contract functionality, has attracted many crypto currency investors.However, this widespread popularity has also attracted an influx of criminals, leading to the rise of cybercrime activities.Among them, phishing scams are one of the main forms of fraud on the Ethereum platform.To tackle this issue, researchers have developed Ethereum network phishing identification technology, achieving significant progress in this field.However, there has been relatively little systematic analysis and summary of these research results.The current state of phishing fraud on the Ethereum network was analyzed.Moreover, a comprehensive summary of existing phishing detection datasets and evaluation metrics were provided.On this basis, methods for detecting phishing on Ethereum were reviewed, including those based on transaction information, graph embedding and graph neural networks.Transaction information-based methods are the most common, analyzing information such as input and output addresses and amounts in transaction data to determine whether a transaction is abnormal.Methods based on graph embedding and graph neural networks place more emphasis on analyzing the entire transaction network, constructing a graph structure to analyze the relationships between nodes, and more accurately identifying phishing attacks.In addition, a comparative analysis of the advantages and disadvantages of various methods was conducted, explaining the applicability and limitations of each method.Finally, the challenges facing Ethereum phishing detection were pointed out, and the future research trends for Ethereum phishing detection were predicted.…”
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Fecal Calprotectin: A Reliable Predictor of Mucosal Healing after Treatment for Active Ulcerative Colitis by Vendel Kristensen, Arne Røseth, Tahir Ahmad, Viggo Skar, Bjørn Moum

“…With this project, we investigated whether a reduction in f-calprotectin to <250 μg/g after medical treatment for active ulcerative colitis could predict mucosal healing. Material and Methods. After a baseline colonoscopy, 20 patients with active ulcerative colitis were followed with consecutive fecal calprotectin monthly until two measurements of fecal calprotectin < 250 μg/g or a maximum follow-up of 12 months. …”
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Optic Nerve Sonography in the Diagnostic Evaluation of Pseudopapilledema and Raised Intracranial Pressure: A Cross-Sectional Study by Masoud Mehrpour, Fatemeh Oliaee Torshizi, Shooka Esmaeeli, Salameh Taghipour, Sahar Abdollahi

“…Considering 5.7 mm as the upper limit for normal ONSD (optic nerve sheath diameter), sensitivity and negative predictive value of optic sonography in diagnosis of pseudopapilledema are 100% for both eyes. …”
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Weighted fuzzy C means and enhanced adaptive neuro-fuzzy inference based chronic kidney disease classification by Maria Lincy Jacquline, Natarajan Sudha

“…The selected features will be clustered using Weighted Fuzzy C Means clustering (WFCM) to predict the class label of the data sample and reduce the misclassification results. …”
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RELATIONSHIP BETWEEN POSTPARTUM ANXIETY AND BABY BLUES SYNDROME AT UNIVERSITAS AIRLANGGA HOSPITAL by Intan Fairuz Zakia, Dwi Izzati, Atika Atika

“…Baby blues syndrome has the potential to predict postpartum depression, and if left untreated, it can lead to more severe mental disorders. …”
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Open-world barely-supervised learning via augmented pseudo labels by Zhongnian Li, Yanyan Ding, Meng Wei, Xinzheng Xu

“…Subsequently, to ensure that the pseudo-labels remained reliable while being updated during model training, we enhanced them using predictions from weak data augmentation. This way, we obtained the augmented pseudo-labels. …”
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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…A notable advancement in this field is the implementation of machine learning tools, which enhance the ability to predict potential weld defects and improve overall weld quality. …”
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Transfer Across Episodes of Analogical Reasoning: The Role of Visuo-Spatial Schemas by Jairo A. Navarrete-Ulloa, Maximo Trench

“…As this account fails to predict the empirical result that only mappings between similar concepts get reliably transferred, other psychological mechanisms seem to be at play. …”
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Construction of a Cuprotosis-Related Gene-Based Model to Improve the Prognostic Evaluation of Patients with Gastric Cancer by Chunyan Han, Kai Zhang, XinKai Mo

“…The AUC of the nomogram to predict 1-, 3-, and 5-year survival rate was 0.618, 0.618, and 0.625, respectively. …”
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Experimental and Thermal Investigation on Powder Mixed EDM Using FEM and Artificial Neural Networks by Venkata N. Raju Jampana, P. S. V. Ramana Rao, A. Sampathkumar

“…This article is aimed to do a comprehensive experimental and thermal investigation of the EDM, which can predict the machining characteristic and then optimize the output parameters with a newly integrated neural network-based methodology for modelling and optimal selection of process variables involved in powder mixed EDM (PMEDM) process. …”
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Influence of the Radial Gap on the External Gear Pump Performance by Alexander Mitov, Nikolay Nikolov, Ivan Kralov

“…The presented methodology can also be applied to other types of hydraulic displacement pumps in order to evaluate their performance in the wear process and to predict the maximum allowable value of a specific design parameter under different operating modes.…”
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The Correlation Between Electrodiagnostic Severity and Patient-Reported Disability Among Carpal Tunnel Syndrome Patients by Gülay Soykök, Emel Güler

“…While the BCTQ Symptom Severity Scale (BCTQ-SSS) was predictive of the early stages of CTS, we found that both BCTQ-SSS and BCTQ-Functional Status Scale scores increased in correlation with advanced stage CTS. …”
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Influence of moving heat sources on thermoviscoelastic behavior of rotating nanorods: a nonlocal Klein–Gordon perspective with fractional heat conduction by Ahmed E. Abouelregal, M. Marin, Abdelaziz Foul, Sameh S. Askar

“…Numerical simulations demonstrated that fractional-order heat conduction and nonlocal elasticity significantly influenced the thermal and mechanical responses, reducing discrepancies in heat propagation predictions. These findings showed that the fractional and tempering parameters controlled thermal dissipation rates and thermal wave propagation velocity, ensuring physically realistic thermal responses. …”
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Simulation of Central Porosity and Hot Crack Formation in 14 t Flat Ingot by Mold Removal Controlled Cooling by Wu　Gang, Xu　Changjun, Feng　Xulong, Zhai　Haodong, Xu　Jichen, Hu　Hanting

“…At the same time， the thermal stress inside the ingot also increases， and the proposed cracking coefficient is used to predict the risk of cracking when the controlled cooling intensity reaches 1 200（W·m-2·K-1）.…”
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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…As compared with other methods, the model can predict a much higher level of accuracy with significantly fewer parameters. …”
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Experimental Study on Corrosion of Galfan-Coated Full-Locked Coil Ropes in a Natatorium Environment by Shi-Chang Zhang, Xiao-Ming Xu, Feng Gao, Bin Luo, Wei-Zhou Shi, Qing Fang

“…Later, the neutral salt spray accelerated corrosion test was carried out to predict the corrosion rate of the cable in the natatorium environment in the middle and late periods. …”
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