Event-Triggered-Based External Consensus Protocol of RBF-ARX-Model-Based Networked Multiagent Systems with Nonlinear Dynamics and Communication Delays by Qi Lei, Ying Luo

“…An event-triggered control protocol with communication delay compensation is proposed to reduce the effects of network-induced delays and the times of the agent’s control update and communication between others by applying the idea of a prediction strategy. The event-triggered mechanism for each agent only depends on the deviation between its own output and the delay-compensated output of neighboring agents. …”
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Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion by Jie-sheng Wang, Shuang Han, Na-na Shen

“…For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, an echo state network (ESN) based fusion soft-sensor model optimized by the improved glowworm swarm optimization (GSO) algorithm is proposed. …”
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Structural Damage Identification Method Based on Parametric Boundary Condition Optimization by Wei Guo, Wei Jiang

“…The results show that the prediction error of fatigue life is 16% less under various stress ranges, a rectangular identification frame with a certain probability guarantee rate is used to realize multitype seismic damage classification and location, the average accuracy of the identification of concrete cracking and spalling, steel bar exposure, and buckling is more than 80%, and the average coverage rate is more than 88%. …”
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How data science and AI-based technologies impact genomics by Jing Lin, Kee Yuan Ngiam

“…In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. …”
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Backcalculation of Finite-Element Modeling Based on Field Measurements Results of Excavation in Steel Sheet Pile Walls by Zoa Ambassa, Jean Chills Amba, Merlin Bodol Momha, Landry Djopkop Kouanang

“…The study presents a development of a nonlinear finite element calculation technique for the prediction of the stability of the multistaged deep excavation in submerged multilayered soft soil retained by steel sheet pile walls structures performed from Cast3M FE code. …”
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Estimation and Control for Industrial Products Reliability under Failure Trials by Kui Wang, Lili Ding

“…In practices, most industrial products are subject to sudden failure and only failure information can be collected, which presents a great challenge for reliability prediction of modern devices. To address this issue, our paper proposes a dynamic reliability estimation and control for industrial products under regular failure trials. …”
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Investigation Of The Relation Between Additive Commonly Used In Meat Products - Soy And Meat By Fluorescence Spectroscopy by Z. Ozbekova, A. Kulmyrzaev

“…From the results, determination ratio of soy in sausages, evaluation the differences between soy and meat and prediction of chemical content of samples (protein and fat with regression coefficients R2 ≈ 0.85 and R2 ≈ 0.89 by the emission spectra of tryptophan and dry matter with regression coefficients R2 ≈ 0.89 by the spectra of riboflavin have been determined) has been shown. …”
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Real-time predication and navigation on traffic congestion model with equilibrium Markov chain by Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao

“…In our study, the authors proposed an advanced prediction and navigation models on a dynamic traffic network. …”
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Benchmarking COMSOL Multiphysics Single-Subchannel Thermal-Hydraulic Analysis of a TRIGA Reactor with RELAP5 Results and Experimental Data by Ahmed K. Alkaabi, Jeffrey C. King

“…Then, these models’ predictions are quantitatively evaluated and compared with the measured data.…”
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Rock brittleness evaluation method based on the complete stress-strain curve by ChenYang Liu, Yong Wang, XiaoPei Zhang, LiZhi Du

“…Brittleness plays an important role in the brittle failure process of rocks, and is also one of the important mechanical properties of rocks and a key indicator in rock engineering such as hydraulic fracturing, tunnelling machine borehole drilling and rockburst prediction. Therefore, aiming at the applicability of the brittleness index, this paper summarizes and analyzes the existing brittleness indices based on different experimental methods. …”
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Assessing the Future ODYSEA Satellite Mission for the Estimation of Ocean Surface Currents, Wind Stress, Energy Fluxes, and the Mechanical Coupling Between the Ocean and the Atmosp... by Marco Larrañaga, Lionel Renault, Alexander Wineteer, Marcela Contreras, Brian K. Arbic, Mark A. Bourassa, Ernesto Rodriguez

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Prevalence of dengue and leptospirosis coinfection and associated mortality rates: a systematic review and meta-analysis by Suraj Tiwari, Mahalaqua Nazli Khatib, Rekha MM, Mandeep Kaur, Girish Chandra Sharma, Puneet Sudan, K. Satyam Naidu, Rajesh Singh, Teena Vishwakarma, Sonam Puri, Muhammed Shabil, Anuradha Yadav, Takveer Singh, Sahil Khurana, Rachana Mehta, Prakasini Satapathy, Renu Sah, Abhay M Gaidhane, Ganesh Bushi

“…The pooled mortality rate among co-infected patients was 9.96% (95% CI: 0–53.49%), with moderate heterogeneity (I² = 71%). The prediction interval for mortality ranged from 0.00 to 100%. …”
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Influence of particle size on NIR spectroscopic characterization of sorghum biomass for the biofuel industry by Md Wadud Ahmed, Carlos A. Esquerre, Kristen Eilts, Dylan P. Allen, Scott M. McCoy, Sebastian Varela, Vijay Singh, Andrew D.B. Leakey, Mohammed Kamruzzaman

“…With only 9 selected bands and 4 latent variables (LVs), the best PLSR model was obtained for moisture with particle size of 600–850 µm with the square root of the coefficient of determination (R) of 0.85, the ratio of prediction to deviation (RPD) of 2.2, and the root mean square error (RMSE) of 0.46 % in external validation. …”
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Multiomics integration unravels genotype‐microbiome interactions shaping the conjunctival transcriptome by Qiaoxing Liang, Guo‐Wang Lin, Xiaohu Ding, Bin Zou, Xiaomin Liu, Jing Li, Yuxin Zhang, Xiaofeng Wen, Lingyi Liang, Jin‐Xin Bei, Mingguang He, Huijue Jia, Lai Wei

“…We applied MicroGenix to the conjunctival data set and found that incorporating GMIs into gene expression prediction models significantly increased prediction accuracy. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…A key focus of this work is the combination of ML models with optimization algorithms like Genetic Algorithm, which improves the performance of ML models by optimizing hyperparameters and enhancing prediction accuracy. This approach is particularly useful in complex processes such as biological treatment and resource recovery, where ML models can predict waste characteristics and optimize treatment conditions. …”
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Relieving Sore Throat Formula Exerts a Therapeutic Effect on Pharyngitis through Immunoregulation and NF-κB Pathway by Yushi Ding, Suyun Yu, Zhonghong Wei, Rui Deng, Peng Chen, Yifan Sun, Qi Jia, Xiaoman Li, Yuanyuan Wu, Wenxing Chen, Kurt S. Zanker, Aiyun Wang, Yin Lu

“…We combined multiple methods including bioinformatics data digging, network pharmacology analysis, and pathway analysis to predict the potential target of RSTF. We verified our in silico prediction results with an in vivo/vitro antibacterial effect test, mouse phagocytic index test, proliferation, transformation, and migration of mouse spleen lymphocytes. …”
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Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

“…<h4>Objectives</h4>To assess the effectiveness and efficiency of Asthma-Guidance and Prediction System (A-GPS), an Artificial Intelligence (AI)-assisted CDS tool, in optimizing asthma management through a randomized clinical trial (RCT).…”
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Identification of serum metabolite biomarkers in premature infants with bronchopulmonary dysplasia: protocol for a multicentre prospective observational cohort study by Ping Zhou, Jun Chen, Ying Liu, Cheng Chen, Xin Guo, Zhangbin Yu, Jiebo Liu, Yanping Guo, Dan Dan Rao, Shengnan He, Xudong Yan, Wanxiang He, Songzhou Xu, Ruolin Zhang

“…This study aims to identify the biomarkers that can predict the early occurrence and development of BPD by screening serum metabolites in preterm infants. …”
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Epidemiological Characteristics and Prognostic Scoring in Toxic Epidermal Necrolysis and Stevens–Johnson Syndrome: Insights from a 17-Year Burn Center Experience by David Breidung, Sarina Delavari, Ioannis-Fivos Megas, Alexander Geierlehner, Wolfgang Hitzl, Karl J. Bodenschatz, Konrad Karcz, Denis Ehrl, Moritz Billner

“…The secondary objectives were to evaluate the performance of existing prognostic scoring systems (SCORTEN, Re-SCORTEN, and ABCD-10) in predicting mortality and to propose a novel classification tree model to improve mortality prediction. …”
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Using In Silico Methods to Identify Protein Tyrosine Kinase A (PtkA) Homolog in Non-Tuberculous Mycobacteria (NTM) by Swati Jaiswal, Sanjay Kumar

“…In silico approaches, which utilize computational tools for sequence alignment, structure prediction, and functional annotation, offer a powerful means to identify homologous proteins across different species. …”
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