A New Variational Assimilation Method Based on Gradient Information from Satellite Data by Bo Zhong, Yun-Feng Wang, Gang Ma, Xin-Yuan Ma, Lu Yang

“…With the development of meteorological observation technology, satellite data have found increasingly wide use in the numerical weather prediction field. However, there are various observational biases in satellite data, including a random bias brought about by complex weather systems and a systematic bias caused by the instrument itself, which greatly influence the quality of satellite data. …”
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A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by M. Dhinakaran, Khongdet Phasinam, Joel Alanya-Beltran, Kingshuk Srivastava, D. Vijendra Babu, Sitesh Kumar Singh

“…Machine learning is utilized in various areas, but mainly in the healthcare industry, where it provides significant advantages via appropriate decision and prediction methods. The proposed work introduces a remote system that can continuously monitor the patient and can produce an alert whenever necessary. …”
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Exploring the Relationships between Subjective Evaluations and Objective Metrics of Vehicle Dynamic Performance by Jianyou Zhao, Jing Liu, Liping Yang, Ping He

“…The established overall subjective evaluation model was relatively reliable, with a prediction accuracy of 90%. This study furthered the existing knowledge of the methods for evaluating vehicle dynamic performance. …”
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Automatic Quantitative Analysis of Internal Quantum Efficiency Measurements of GaAs Solar Cells Using Deep Learning by Zubair Abdullah‐Vetter, Brendan Wright, Tien‐Chun Wu, Ali Shakiba, Ziv Hameiri

“…Therefore, this study proposes using a deep learning method to automatically predict multiple key parameters from IQE measurements of gallium arsenide cells. …”
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Water Supply and Regulation of Underground Reservoir in Coal Mine considering Coal-Water Occurrence Relationship by Mingbo Chi, Zhiguo Cao, Quansheng Li, Yong Zhang, Baoyang Wu, Bao Zhang, Yi Yang, Xiaoqing Liu

“…Water supply prediction and control is one of the key issues in exploitation of coal mine underground reservoirs (CMUR). …”
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FusOn-pLM: a fusion oncoprotein-specific language model via adjusted rate masking by Sophia Vincoff, Shrey Goel, Kseniia Kholina, Rishab Pulugurta, Pranay Vure, Pranam Chatterjee

“…Employing a unique cosine-scheduled masked language modeling strategy, FusOn-pLM dynamically adjusts masking rates (15%–40%) to optimize feature extraction and representation quality, surpassing baseline embeddings in fusion-specific tasks, including localization, puncta formation, and disorder prediction. FusOn-pLM uniquely predicts drug-resistant mutations, providing insights for therapeutic design that anticipates resistance mechanisms. …”
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Mechanical Properties and Mesostructure Evolution of Fibre-Reinforced Loess under Freeze-Thaw Cycles by Longfei Zhang, Zaiqiang Hu, Hongru Li, Haicheng She, Xiaoliang Wang, Xiaoning Han, Xi Yang

“…Finally, the strength parameter prediction model under different freeze-thaw cycles of reinforced loess is established, thereby providing theoretical support for engineering application and numerical simulation of fibre-reinforced loess.…”
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Strength Deterioration of Concrete in Sulfate Environment: An Experimental Study and Theoretical Modeling by Yingwu Zhou, Hao Tian, Lili Sui, Feng Xing, Ningxu Han

“…A large amount of experimental data has finally verified the validity and applicability of the models, and a theoretical basis is thus provided for the strength degradation prediction and the residual life assessment of in-service concrete structures under sulfate attacks.…”
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Examination of Students’ Small Groups Discussion in Argumentation Process: Scientific and Socio-Scientific Issues by Esra Kabatas-Memis, Ebru Ezberci Cevik

“…Codes prepared by the researchers (cause-effect relationship, using clues, proposing suggestions, prediction, deduction etc.) were combined under certain categories and entitled. …”
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Spectral Estimation of Soil Properties in Siberian Tundra Soils and Relations with Plant Species Composition by Harm Bartholomeus, Gabriela Schaepman-Strub, Daan Blok, Roman Sofronov, Sergey Udaltsov

“…Predicted global warming will be most pronounced in the Arctic and will severely affect permafrost environments. …”
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Greenhouse environmental monitoring and control system based on improved fuzzy PID and neural network algorithms by Guan Hongqiang

“…To improve the limitations of traditional GhEs and enhance the accuracy of GhE monitoring and control systems, a sensor-based GhE monitoring and control system is designed. In addition, a prediction model for GhE monitoring is constructed using a backpropagation neural network to better predict nonlinear factors such as humidity, temperature, and light intensity in the GhE. …”
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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…Artificial intelligence with data science can improve the quality of restaurants, cafes, online delivery food chains, hotels, and food outlets by increasing production utilizing different fitting algorithms for sales prediction. AI could significantly improve packaging, increasing shelf life, a combination of the menu by using AI algorithms, and food safety by making a more transparent supply chain management system. …”
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The Effect of Fracture Surface Roughness and Mechanical Aperture on the Onset of Nonlinear Flow Behaviors in 3D Self-Affine Rough Fractures by Kangsheng Xue, Xiaobo Liu, Xufeng Yan, Xiaolou Chi

“…This allows for the definition of a critical hydraulic gradient (Jc), below which the permeability can be properly predicted using the cubic law for its simplicity, and above which Forchheimer’s equation should be applied, and Forchheimer’s coefficients A, B, and Jc can be calculated by the prediction equations established in this study.…”
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Brain Metastases Research 1990–2010: Pattern of Citation and Systematic Review of Highly Cited Articles by Carsten Nieder, Anca L. Grosu, Minesh P. Mehta

“…High and continuously increasing research activity related to different aspects of prevention, prediction, diagnosis and treatment of brain metastases has been performed between 1990 and 2010. …”
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Precipitation, Time Series Models, Man-Kendall, Health Winters model, West Azerbaijan Province by Saeed jahanbakhshasl, ali mohammadkhorshiddoust, fatemeh abbsighasrik, zahra abbasighasrik

“…The aim of this study is to model and predict 30 years of rainfall in West Azerbaijan province. …”
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Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites by Hailemariam Biratu, Mengistu Gelaw, Kiran Shahapurkar, Venkatesh Chenrayan, Manzoore Elahi M. Soudagar, Vineet Tirth, Ali Algahtani, Tawfiq Al-Mughanam

“…The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. It has been observed that a trivial error of 0.49% amidst GRA and ANN estimation is observed.…”
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Numerical Analysis of Turbulent Combustion in a Model Swirl Gas Turbine Combustor by Ali Cemal Benim, Sohail Iqbal, Franz Joos, Alexander Wiedermann

“…The computational model is observed to provide a fair prediction of the experimental data and predict the increased flashback propensity of syngas.…”
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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…Abstract This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. …”
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Performance of BFRP Retrofitted RCC Piles Subjected to Axial Loads by Anandakumar Ramaswamy, Selvamony Chachithanantham, Seeni Arumugam

“…The effects of retrofitting of RCC pile elements were observed and a mathematical prediction was developed for calculation of retrofitting strength. …”
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Smart Patch for Non-Invasive Blood Pressure Monitoring in Epileptic Seizure Patients via the Sole by Murtadha Mohammed Mahdi, Sadik Kamel Gharghan, Saleem Lateef Mohammed, Ibrahim Amer Ibrahim

“…These blood pressure changes could be related to the onset of seizures, suggesting that the device and methodology could be combined with other measures to analyze and predict seizure activity. This research offers a non-invasive and comfortable solution for continuous blood pressure monitoring during seizures, which may affect seizure prediction and management. …”
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