Analyzing the ecologicality and functionality of kiln architecture in China through KH coder data mining algorithm and hierarchical event coding by Runze Liu, Xiang Wang, Lin Yuan, Yunting Gao, Yan Zhang, Mengsi Yang, Weicong Li

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Algorithm for selecting patients for house dust mite allergen specific im- munotherapy in children with bronchial asthma and allergic rhinitis by O. V. Trusova, A. V. Kamaev, N. L. Lyashenko, I. V. Makarova, N. B. Platonova

“…Objective. Based on literature data and own research, on the selection of pediatric patients for the treatment of allergen immunotherapy (AIT) with house dust mite (HDM) allergens, to develop an Algorithm for selecting patients for AIT with HDM allergens in children with bronchial asthma (BA) and allergic rhinitis (AR).   …”
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A Comparative Analysis of Different Algorithms for Estimating Evapotranspiration with Limited Observation Variables: A Case Study in Beijing, China by Di Sun, Hang Zhang, Yanbing Qi, Yanmin Ren, Zhengxian Zhang, Xuemin Li, Yuping Lv, Minghan Cheng

“…A comparative analysis of their performance is undertaken using ground-based flux observations and MOD16 ET data. The findings can be summarized as follows: (1) Long-term remote sensing data can furnish a more comprehensive background field for the LST-VI space, achieving superior fitting accuracy for wet and dry edges, thereby enabling precise ET estimation with the following metrics: correlation coefficient (r) = 0.68, root mean square error (RMSE) = 0.76 mm/d, mean absolute error (MAE) = 0.49 mm/d, and mean bias error (MBE) = −0.14 mm. (2) ML generally produces more accurate ET estimates, with the Random Forest Regressor (RFR) demonstrating the highest accuracy: r = 0.79, RMSE = 0.61 mm/d, MAE = 0.42 mm/d, and MBE = −0.02 mm. (3) Both ET estimates derived from the LST-VI space and ML exhibit spatial distribution characteristics comparable to those of MOD16 ET data, further attesting to the efficacy of these two algorithms. …”
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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation by Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang

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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images by Khaled Tarmissi, Jamal Alsamri, Mashael Maashi, Mashael M. Asiri, Abdulsamad Ebrahim Yahya, Abdulwhab Alkharashi, Monir Abdullah, Marwa Obayya

“…Abstract Bone marrow (BM) plays a crucial role in the hematopoietic process, producing all of the body’s blood cells and maintaining the overall immune and health system. …”
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Critical factors influencing live birth rates in fresh embryo transfer for IVF: insights from cluster ensemble algorithms by Zheng Yu, Xiaoyan Zheng, Jiaqi Sun, Pengfei Zhang, Ying Zhong, Xingyu Lv, Hongwen Yuan, Fanrong Liang, Dexian Wang, Jie Yang

“…We introduce a novel Non-negative Matrix Factorization (NMF)-based Ensemble algorithm (NMFE). By combining feature matrices from NMF, accelerated multiplicative updates for non-negative matrix factorization (AMU-NMF), and the generalized deep learning clustering (GDLC) algorithm. …”
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Investigation of Artificial Intelligence Techniques for the Management of Cataract Disease: A Systematic Review by Zahra Karbasi, Michaeel Motaghi Niko, Maryam Zahmatkeshan

“…Deep learning techniques, decision trees, and Bayesian algorithms were involved in cataract management. Machine learning algorithms such as logistic regression, random forest, artificial neural network, decision tree, K1-nearest neighbor, XGBoost, and adaptive boosting also played a role in cataract prediction. …”
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Crossover operators for molecular graphs with an application to virtual drug screening by Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler

“…Abstract Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. …”
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AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions by Hoejin Jung, Soyoon Park, Sunghoon Joe, Sangyoon Woo, Wonchil Choi, Wongyu Bae

“…Furthermore, we analyze existing AI-based control methods applied to different types of biomimetic robots, highlighting their effectiveness, algorithmic approaches, and performance compared to traditional control techniques. …”
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The Role of Performance Metrics in Estimating Market Values of Footballers in Europe's Top Five Leagues by Murat Işık, Mehmet Ali Yalçınkaya

“…The highest accuracy was achieved with the Random Forest algorithm (R-squared: 0.90). In the classification analysis, players' market values were categorized into four classes (low, lower-mid, upper-mid, and high), and their class memberships were predicted based on performance metrics. …”
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Characterization of lactylation modification subtypes and the promoting role of CCL20 in hepatocellular carcinoma progression by Li-Hong Wu, Liu Yang, Xiang-Xu Wang, Shuang Bai, Xi Yan, Jing Wei, Jun Wang, Fei Tian

“…Lactylation modification plays a pivotal role in tumorigenesis, yet the regulatory mechanisms and prognostic significance of lactylation-related genes in HCC remain insufficiently understood.MethodsThis study screened for prognostically significant lactylation modification-related genes based on their expression levels, integrated with DFS, PFS, and OS data. …”
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The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma by Fuqing Chen, Yifan Cai, Xiangmei Chen, Changzhou Chen, Qinliang Fang, Jianming Liu, Yibin Zhang, Jianyin Zhou

“…SVM algorithm was used to classify HCC patients based on HSCRGs. …”
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Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study by Rania Bouzid, Jyotindra Narayan, Hassène Gritli

“…Three different training optimizers are considered, namely the Levenberg-Marquardt (LM) algorithm, the Bayesian Regularization (BR) algorithm, and the Scaled Conjugate Gradient (SCG) algorithm. …”
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A universal optoelectronic imaging platform with wafer-scale integration of two-dimensional semiconductors by Xinyu Wang, Die Wang, Yuchen Tian, Jing Guo, Jinshui Miao, Weida Hu, Hailu Wang, Kang Liu, Lei Shao, Saifei Gou, Xiangqi Dong, Hesheng Su, Chuming Sheng, Yuxuan Zhu, Zhejia Zhang, Jinshu Zhang, Qicheng Sun, Zihan Xu, Peng Zhou, Honglei Chen, Wenzhong Bao

“…Photodetectors (PDs) are crucial in modern society as they enable the detection of a diverse range of light-based signals. With the exponential increase in their development, materials are being used to create a wide range of PDs that play critical roles in enabling various applications and technologies. …”
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COMPARATIVE CHARACTERISTICS OF BIOMATERIALS FOR THE REPLACEMENT OF JAW BONE DEFECTS AND THEIR ROLE IN THE PREVENTION OF INFLAMMATORY COMPLICATIONS by V.M. Havryliev, A.V. Kopchak, N.B. Kuzniak, D.V. Steblovski, O.A. Toropov, P.I. Yatsenko

“…The functional characteristics of osteoconductive scaffolds, their microand nanostructural properties, and biomimetic features were evaluated. Based on the obtained data, we developed an algorithm for the selection and application of biomaterials in oral surgery: precise selection of the type of bone substitute based on the anatomical and functional characteristics of the defect; individualized implant preparation, including surface modification; and the use of bioactive matrices containing growth factors and structural analogues of the extracellular matrix. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

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Best practices in the laboratory diagnosis, prognostication, prediction, and monitoring of Graves’ disease: role of TRAbs by Sanjay Kalra, Shahjada Selim, Dina Shrestha, Noel Somasundaram, Syed Abbas Raza, Manash P. Baruah, Saptarshi Bhattacharya, Sharvil Gadve, Ganapathi Bantwal, Rakesh Sahay

“…Inclusion of TRAbs in GD diagnostic algorithm can improve cost-effectiveness of GD management. …”
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Role of Multimodal Imaging in Clinical Practice for the Diagnosis of Infective Endocarditis: A Case Series by Sara Tordi, Giacomo Gonnelli, Maria Carolina Benvenuto, Daniele Rosignoli, Lisa Malincarne, Daniela Francisci

“…Background: The 2023 European Society of Cardiology (ESC) guidelines for the management of infective endocarditis (IE) highlighted the essential role of multimodal imaging in the diagnostic algorithm of IE and its complications. …”
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Machine Learning-Assisted Optimization of Femtosecond Laser-Induced Superhydrophobic Microstructure Processing by Lifei Wang, Yucheng Gu, Xiaoqing Tian, Jun Wang, Yan Jia, Junjie Xu, Zhen Zhang, Shiying Liu, Shuo Liu

“…Superhydrophobic surfaces have garnered significant attention due to their pivotal roles in various fields. Femtosecond laser technology provides a feasible means for inducing superhydrophobic microstructures on material surfaces. …”
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Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications by Can Qi, Can Qi, Ziwei Zhao, Lin Chen, Le Wang, Yun Zhou, Guochen Duan, Guochen Duan

“…However, only a few studies have focused on the role of NETs in Neuroblastoma (NB).MethodsFirst, based on the expression of NET-related genes, consensus clustering analysis was conducted to cluster NB samples into different subtypes. …”
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