Effective Connectivity Study Guiding the Neuromodulation Intervention in Figurative Language Comprehension Using Optical Neuroimaging by Tania Alexandra Couto, Shiyang Xu, Paulo Armada da Silva, Chenggang Wu, Karl Neergaard, Meng-Yun Wang, Juan Zhang, Yutao Xiang, Zhen Yuan

“…Sixteen healthy subjects were recruited from the University of Macau to test the Granger Prediction Estimation (GPE) method to investigate brain network connectivity during figurative language comprehension. …”
Get full text

Discussion on Redundant Processing Algorithm of Association Rules Based on Hypergraph in Data Mining by Jintan Zhu

“…The results show that compared with the traditional association rule algorithm, the rules obtained by the Markov logic network framework model of association rules have a higher prediction accuracy.…”
Get full text

Nowcasting of a Warm‐Sector Rainfall Event in Southern China With the TRAMS Model: Sensitivity to Different Radar Reflectivity Retrieval Methods and Incremental Updating Strategies... by Xiaoxia Lin, Yerong Feng, Yuntao Jian, Daosheng Xu, Jincan Huang, Haowei Chen, Banglin Zhang

Get full text

Risk of cancer in patients with bile acid diarrhoea: a Danish nationwide matched cohort study by Tine Jess, Nynne Nyboe Andersen, Gry Poulsen, Signe Wildt, Lars Kristian Munck, Aske Thorn Iversen, Christian Borup

Get full text

Vegetation optical depth as a key predictor for fire risk escalation by Dinuka Kankanige, Yi Y. Liu, Ashish Sharma

“…Satellite retrievals of vegetation dynamics can enhance the fire risk prediction when used as indicators of fuel water status and fuel load. …”
Get full text

Ellipsoid Zone Integrity and Visual Acuity Changes during Diabetic Macular Edema Therapy: A Longitudinal Study by Lucy J. Kessler, Gerd U. Auffarth, Dmitrii Bagautdinov, Ramin Khoramnia

“…In addition, our results underlined the potential of EZ parameters as novel OCT biomarkers for prediction of VA outcomes during therapy.…”
Get full text

Prospects for mine geological work in the intelligence age: Architecture of the intelligent geological guarantee technology system for mine exploitation by Yucheng XIA, Xueyang SUN, Lintian MIAO, Chen GUO, Rongjun DU

“…., the intelligent management subsystem for fundamental geological survey information, the intelligent prediction and early warning subsystem for geologic hazards in mines, the intelligent monitoring, prediction, and early warning subsystem for ecosystems in mining areas, the intelligent identification subsystem for favorable mining blocks, and the transparent mining face subsystem), as well as their core modules. …”
Get full text

Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

“…The main goal of this study was to predict FX volatility effectively using ANN models. …”
Get full text

Study on flexural cracking characteristics of polypropylene fiber reinforced concrete beams with BFRP bars by Huayi Wang, Ming Zhou, Bingyan Wei, Chao Wu, Zhiyi Tang, Sitian Zhang, Jia He

“…Adding PP fibers increased the torque value corresponding to a crack width of 0.8 mm by 28.4–77.6 %. According to the prediction formula for the cracking characteristics of ordinary concrete BFRP beams in GB 50608–2020, the calculation formulas for the average crack spacing and the maximum crack width of PP - FRC BFRP beams are proposed, and their prediction accuracy is better than that of the code formulas.…”
Get full text

Estimating the safe mud weight window for drilling operations through pre-stack seismic inversion, a case study in one of the Southwestern Iran oil fields by Mohammad Sadegh Mahmoudian, Yousef Shiri, Ahmad Vaezian

“…It is used for accurate pore pressure prediction before drilling commences for safe and efficient drilling operations. …”
Get full text

Hemorrhagic syndrome at liver cirrhosis by I. A. Kurkina, O. S. Volkova, M. V. Mayevskaya, V. T. Ivashkin

“…The relation to prescription of components of blood is cautious now, there are no definite indications to their application and criteria of efficacy.Conclusion. The problem of prediction of hemorrhagic complications in patients with LC by modern laboratory tests remains open. …”
Get full text

Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal by A. Dunant, T. R. Robinson, A. L. Densmore, N. J. Rosser, R. M. Rajbhandari, M. Kincey, S. Li, P. R. Awasthi, M. Van Wyk de Vries, M. Van Wyk de Vries, R. Guragain, E. Harvey, S. Dadson

“…We apply this model to the 2015 <span class="inline-formula"><i>M</i>_w</span> 7.8 Gorkha earthquake in Nepal as a case study, demonstrating its ability to simulate the primary and secondary effects of the earthquake on buildings and roads across the whole earthquake-affected area. The model predicts the overall pattern of earthquake-induced building damage and landslide impacts, albeit with a tendency towards over-prediction. …”
Get full text

Prediksi Rating Film IMDb Menggunakan Decision Tree by Rifqy Rosdiyah Ilmi, Fachrul Kurniawan, Sri Harini

“…Prediction of movie ratings values can be modeled through machine learning using the decision tree model. …”
Get full text

Transgenerational epigenetic heritability for growth, body composition, and reproductive traits in Landrace pigs by Andre C. Araujo, Jay S. Johnson, Jason R. Graham, Jeremy Howard, Yijian Huang, Hinayah R. Oliveira, Luiz F. Brito

“…Fitting epigenetic effects in genetic models did not impact the prediction of breeding values.…”
Get full text

Quick Determination of Soil Quality Using Portable Spectroscopy and Efficient Multivariate Techniques by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Thomas Abindaw, Kwadwo Kusi Amoah, Michael Miyittah, Emmanuel Afutu, Rebecca Owusu

“…The models were assessed by the classification rate, coefficient of determination (Rp2), and root mean square error of prediction (RMSEP) in the prediction set. A total of 110 soil samples from 0 to 15 cm, 15 to 30 cm, and 30 to 45 cm layers were collected from the field of different land-use cropping systems. …”
Get full text

Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time by Priyanka Nandal, Prerna Mann, Navdeep Bohra, Ghadah Aldehim, Asma Abbas Hassan Elnour, Randa Allafi

“…Satellite images serve a crucial role in weather prediction, particularly in assessing the strength of tropical storms such as cyclones. …”
Get full text

5‐Hydroxymethylcytosine Profiles of cfDNA in Urine as Diagnostic, Differential Diagnosis and Prognostic Markers for Multiple Myeloma by Weiwei Xie, Xuehui Li, Hangyu Chen, Jinlin Chu, Lei Zhang, Bo Tang, Wenrong Huang, Linlin Li, Jian Lin, Yujun Dong

“…In addition, the prognostic prediction model also effectively predicted the prognosis of patients with MM (p < 0.01), of which 4 differential markers (RAPGEF2, BRD1, TET2, TRAF3IP2) could independently predict the prognosis of MM. …”
Get full text

The large-scale whole-genome sequencing era expedited medical discovery and clinical translation by Qingxin Yang, Shuhan Duan, Yuguo Huang, Chao Liu, Mengge Wang, Guanglin He

“…Coupled with the widespread adoption of electronic health records, wearable devices, and AI, the translation of these findings into clinical practice has been established for disease prediction, surveillance, and treatment across the lifespan. …”
Get full text

Identification of depressive symptoms in adolescents using machine learning combining childhood and adolescence features by Xinzhu Liu, Rui Cang, Zihe Zhang, Ping Li, Hui Wu, Wei Liu, Shu Li

“…Machine learning (ML) has attracted substantial attention in the field of adolescent depression; however, studies establishing prediction models have primarily considered childhood or adolescent features separately, resulting in a lack of analyses that incorporate factors from both stages. …”
Get full text

Solar Power Generation in Smart Cities Using an Integrated Machine Learning and Statistical Analysis Methods by Ahmad Almadhor, K. Mallikarjuna, R. Rahul, G. Chandra Shekara, Rishu Bhatia, Wesam Shishah, V. Mohanavel, S. Suresh Kumar, Sojan Palukaran Thimothy

“…The results of this study demonstrate 99.9% reliability rate for ANN model prediction of the electrical power usage during the summer and winter seasons. …”
Get full text