Investigation of the influence of the heterogeneous structure of concrete on its strength by V.M. Volchuk, M.A. Kotov, Ye G. Plakhtii, O.A. Tymoshenko, O.H. Zinkevych

“…The proposed approach can be interpreted as an express method of predicting the strength of concrete mixture, which is implemented without the use of special equipment. …”
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Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network by Yantao Ma, Jie Xue, Xinlong Feng, Jianping Zhao, Junhu Tang, Huaiwei Sun, Jingjing Chang, Longke Yan

“…The results demonstrate that the combination of TimeGAN and DBN better improves the accuracy of the model for the dynamic prediction, particularly for short-term predictions with 4 years as the optimal timescale (R2 > 0.8). …”
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Traffic flow modelling of vehicles on a six lane freeway: Comparative analysis of improved group method of data handling and artificial neural network model by Isaac Oyeyemi Olayode, Alessandro Severino, Frimpong Justice Alex, Elmira Jamei

“…The primary objective of this study was to evaluate the predictive accuracy and efficacy of both models in replicating complex traffic patterns and to provide insights into their suitability for real-time traffic flow applications. …”
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Intra-abdominal pressure and residual renal function decline in peritoneal dialysis: a threshold-based investigation by Jingjing Zhang, Lei Song, Zhongwei Ma, Lina Sun, Xiaoqing Wang, Duanyan Liu, Feng Huang, Yulin Man

“…Furthermore, an IAP ≥15.65 cmH2O was a robust discriminator for the prediction of the rate of RRF decline.Conclusion Patients in the high IAP group experienced a more rapid decline in RRF. …”
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Towards compressive and tensile strengths of hybrid steel and PVA fibre-reinforced cementitious composites: Experimental and analytical by Gang Chen, Mingyan Lv, Haitang Zhu, Jianwen Zhang, Le Zhang

“…In addition, currently available analytical/statistical models for predicting the strength of HFRCCs are far from satisfactory and, therefore, need to be improved. …”
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Validation of mortality risk scores after esophagectomy by Sabine Schiefer, Nerma Crnovrsanin, Ingmar F. Rompen, Nicolas Jorek, Mohammed Al-Saeedi, Thomas Schmidt, Henrik Nienhüser, Leila Sisic

“…However, due to their limited predictive ability, improvements are needed to apply these strategies effectively in clinical practice.…”
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Digital mapping of soil organic carbon in a plain area based on time-series features by Kun Yan, Decai Wang, Yongkang Feng, Siyu Hou, Yamei Zhang, Huimin Yang

“…This study focused on the DSM of SOC in Fengqiu County, China, using terrain, climate, single-time ecological factors, and time-series features of time-series ecological factors as environmental covariates to investigate whether time-series environmental covariates could improve the accuracy in a plain area. SOC prediction models were established using random forests (RF), backpropagation neural networks (BP), and support vector machines (SVM). …”
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Formation Mechanism and the Height of the Water-Conducting Fractured Zone Induced by Middle Deep Coal Seam Mining in a Sandy Region: A Case Study from the Xiaobaodang Coal Mine by Xiaoshen Xie, Enke Hou, Shuangming Wang, Xueyang Sun, Pengfei Hou, Shibin Wang, Yongli Xie, Yongan Huang

“…This research can provide significant theoretical insights for the prediction of the WCFZ, enabling the prevention of water hazards on mine roofs and assisting with water resources protection.…”
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Fluidization of fine coal particles in an ultrasound enhanced gas-solid fluidized bed by Sayuri Naicker, Neeraj Kuarsingh, Milan Carsky, David Lokhat

“…The addition of the ultrasound correction factor was able to improve the prediction capability of the model that was developed for the minimum fluidization velocity. …”
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Study on Overburden Rock Movement and Stress Distribution Characteristics under the Influence of a Normal Fault by Quansen Wu, Peng Kong, Quanlin Wu, Xinggang Xu, Xingyu Wu, Tao Guo

“…The research results in this paper provide a scientific basis for the classification, prediction, and prevention of rock bursts under similar geological conditions.…”
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In-depth characterization of miRNome in papillary thyroid cancer with BRAF V600E mutation by Azliana Mohamad Yusof, Francis Yew Fu Tieng, Rohaizak Muhammad, Shahrun Niza Abdullah Suhaimi, Isa Mohamed Rose, Sazuita Saidin, Rahman Jamal, Imilia Ismail, Nurul-Syakima Ab Mutalib

“…MiRNAs differentially expressed between BRAF V600E-positive and BRAF V600E-negative PTC tissues were validated in silico using The Cancer Genome Atlas (TCGA) THCA datasets containing 420 samples. MiRNA target prediction and pathway enrichment analysis were performed to identify biological pathways altered in this cancer. …”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…We treat each gauge of a FOS as an independent temperature sensor. We first study prediction of DTS time series using Vanilla LSTM and ARIMA models trained on prior history of the same FOS that is used for testing. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

“…Deep learning-based models are ideally suited for accurately predicting electrical load in a smart grid. However, the computational overhead in training models and identifying optimal training hyperparameters are challenging problems. …”
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Rheumatoid factor isotypes in rheumatoid arthritis diagnosis and prognosis: a systematic review and meta-analysis by Nicola Bizzaro, Franco Franceschini, Maria Infantino, Carlo Selmi, Gian Domenico Sebastiani, Francesca Motta, Davide Giavarina, Boaz Palterer

“…Objective The first biomarker associated with the rheumatoid arthritis is rheumatoid factor (RF) and since the earliest reports a role has been proposed in the diagnosis and in the prediction of clinical features and outcome. The study of RF isotypes has further attempted to improve diagnostic accuracy and identify specific subgroups of patients. …”
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Surveying Nearshore Bathymetry Using Multispectral and Hyperspectral Satellite Imagery and Machine Learning by David Hartmann, Mathieu Gravey, Timothy David Price, Wiebe Nijland, Steven Michael de Jong

“…Sentinel-2 showed higher performance than PRISMA up to 20 m (~18% lower MAE), attributed to training with a larger number of images and employing an ensemble prediction, while PRISMA outperformed Sentinel-2 for depths between 25 m and 30 m (~19% lower MAE). …”
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Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation by Yu-An Huang, Yue-Chao Li, Zhu-Hong You, Lun Hu, Peng-Wei Hu, Lei Wang, Yuzhong Peng, Zhi-An Huang

“…The experiments have demonstrated that introducing pathway information significantly improves the learning of cell–cell graphs, with their resulting consensus graph enhancing the predictive performance of cell type prediction. Different pathway databases provide complementary data, and an increase in the number of pathways can also boost model performance. …”
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Identification of Bacterial Lipopolysaccharide-Associated Genes and Molecular Subtypes in Autism Spectrum Disorder by He Y, He Y, Cheng B

“…This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms. A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. …”
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Factors Requiring Adjustment in the Interpretation of Serum Carcinoembryonic Antigen: A Cross-Sectional Study of 18,131 Healthy Nonsmokers by Hae Yeon Kang, Eun Kyung Choe, Kyu Joo Park, Young Lee

“…For colorectal cancer prediction, the model with the observed CEA and adjusted CEA levels had significantly high predictive power (AUC 0.756, P<0.001) than the model only including the observed CEA level (AUC 0.693, P<0.001). …”
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Integrated microRNA and mRNA signatures associated with overall survival in epithelial ovarian cancer. by Joanna Lopacinska-Jørgensen, Douglas V N P Oliveira, Guy Wayne Novotny, Claus K Høgdall, Estrid V Høgdall

“…Several tools for computational target prediction exist, but false interpretations remain a problem. …”
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Effects of specimen size and loading rate on the mechanical property of Bentonil-WRK bentonite for engineered barrier system by Ivan Jeff Navea, Jebie Balagosa, Se Hee Han, Seok Yoon, Yun Wook Choo

“…Increase in diameter and loading rate slightly increases Poisson's ratio. Prediction models are provided for assessing the effects of specimen diameter on qu and εf. …”
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