Endoscopic dissection of the infraorbital canal in patients with sinonasal inverted papilloma by G. B. Bebchuk, A. M. Mudunov, M. Z. Dzhafarova, A. A. Bakhtin, O. A. Sapegina

“…In all cases, the same diagnostic algorithm was used. Separately, evaluation of infraorbital canal anatomy based on preoperative analysis of computed tomography of the paranasal sinuses and intraoperative endoscopic exam was performed. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…Subsequently, a dual-optimized neural network model, termed Bayes-ASFSSA-BP, was developed by incorporating Bayesian optimization and the Adaptive Spiral Flight Sparrow Search Algorithm (ASFSSA). …”
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In-Silico discovery of novel cephalosporin antibiotic conformers via ligand-based pharmacophore modelling and de novo molecular design by Rayhan Chowdhury, Samia Akter Saima, Md. Al Amin, Md. Kawsar Habib, Ramisa Binti Mohiuddin, Ali Mohamod Wasaf Hasan, Roksana Khanam, Shahin Mahmud

“…These candidates were then fused with the cephalosporin core using genetic algorithms and fragment-based design, resulting in 30 novel synthetic models. …”
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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…Building upon this, a bi-level planning model is designed for EVCS siting and sizing, considering both user satisfaction and investment cost. The optimal coordinated EVCS construction strategy is obtained using the NSGA-II algorithm. …”
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Precise prediction of choke oil rate in critical flow condition via surface data by Qing Wang, Muntadher Abed Hussein, Bhavesh Kanabar, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Mohammad Mahtab Alam, Hojjat Abbasi

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Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…The optimal model was employed to compute the radiomics score (Rad-score) and construct a clinical model. …”
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Gain-analytical equations generalized for FOPID controllers — An application with DC–DC power converters by Luís Felipe da S.C. Pereira, Anderson S. Volpato, Edson Antonio Batista, Moacyr A.G. de Brito, Ruben B. Godoy, João O.P. Pinto, Leon M. Tolbert

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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Continuously optimizing ML algorithms and combining them with experimental validation should contribute to the efficient and high-precision discovery of corrosion inhibitor molecules in the future, leading to breakthroughs in materials science and industrial applications.…”
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Cost-Efficient Fall Risk Assessment With Attention Augmented Vision Machine Learning on Sit-to-Stand Test Videos by Chunhua Pan, Boting Qu, Rui Miao, Xin Wang

“…The ablation analysis confirms that the components in <sc>FRAVM</sc> are essential for achieving optimal results.…”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

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CTAB modified SnO₂ PEDOT PSS heterojunction humidity sensor with enhanced sensitivity stability and machine learning evaluation by Poundoss Chellamuthu, Kirubaveni Savarimuthu, M Gulam Nabi Alsath, R. Krishnamoorthy, Yuvaraj T, Feras Alnaimat, Mohammad Shabaz

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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

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Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network by Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Thar Baker, Nasir Saeed

“…To combat the computational complexity of AO, we also propose a low-complexity alternative solution by exploiting heuristic BF schemes and an iterative algorithm, i.e., the element-wise block-coordinate descent method for phase shifts optimization. …”
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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…Accurate crop yield prediction is vital towards optimizing agricultural productivity. Machine Learning (ML) has shown promise in this field; however, its application to legume crops, especially to lupin, remains limited, while many models lack interpretability, hindering real-world adoption. …”
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Artificial Neural Network Prediction on negative and positive activation energy of magnetohydrodynamic nanofluid flow with multiple slips by Shovan Sarkar, Hiranmoy Mondal, Prabir Kumar Kundu

“…Artificial neural network model can provide real-time predictions, so it can play an important role in process control, optimization and reducing computational cost. All of the previous study has focused on positive activation energy but in our current study we have considered the negative and positive activation energy together. …”
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…Experiments were then conducted to fine-tune the hyperparameters of the PointNet++ algorithm. The results showed that the optimal hyperparameter configuration entailed the adoption of the multi-scale sampling and grouping (MSG) strategy, with the augmented point cloud down sampled to 2048 points and a batch size of 8, yielding a classification accuracy of 87.7 %. …”
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Machine Learning Approach to Aerodynamic Analysis of NACA0005 Airfoil: ANN and CFD Integration by Taiba Kouser, Dilek Funda Kurtulus, Srikanth Goli, Abdulrahman Aliyu, Imil Hamda Imran, Luai M. Alhems, Azhar M. Memon

“…A robust Scaled Conjugate Gradient (SCG) algorithm is employed for efficient training of data. …”
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Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…The molecular docking method, based on computational algorithms, has been used to predict and study interactions, including the identification of potential binding sites, estimation of energy parameters and spatial configuration of molecules. …”
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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…Holt et al.is more suitable for a well-resourced medical system. SHiPS displayed optimal risk categorization accuracy, suggesting potential for broader clinical implementation. …”
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OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial by Xulong Qiu, Xulong Qiu, Jidi Chen, Jidi Chen, Muting Wang, Kaixin Zheng, Ruixiong Li

“…The Log-logistic model provided the optimal fit for both PFS and OS curves according to the Akaike Information Criterion (AIC). …”
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