Evaluating the efficiency of teaching basic cardiopulmonary resuscitation among medical university students in Ukraine by H.Yu. Tsymbaliuk, A.M. Chervatiuk, V.O. Krylyuk

“…The results demonstrate that only 48.4 % of respondents positively evaluated overall BCPR education, and only 39.1 % believed they were ready to perform resuscitation in a real situation. …”
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From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

“…Given emerging research in multi-modal machine learning (ML), we explored the benefits and challenges associated with mining different electronic health record (EHR) data modalities and automating extraction of PFS metrics via ML algorithms.…”
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Automated Detection and Evaluation of Swallowing Using a Combined EMG/Bioimpedance Measurement System by Corinna Schultheiss, Thomas Schauer, Holger Nahrstaedt, Rainer O. Seidl

“…Our two-stage algorithm was able to reliably detect swallows (sensitivity = 96.1%, specificity = 97.1%) on the basis of these differences. …”
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A Coherent Approach-Based Fine-Tuning of Segment Anything Model Plus Watershed Algorithm for Instance Segmentation of Mitochondria in Electron Microscopy Images by Zahra Faska, Lahbib Khrissi, Imadeddine Mountasser, Khalid Haddouch, Nabil El Akkad, Samah Alshathri, Walid El-Shafai

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Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China by Xiaolin Xu, Dan Li, Hongxi Liu, Guang Zhao, Baoshan Cui, Yujun Yi, Wei Yang, Jizeng Du

“…Automated classification methods using the random forest algorithm can perform better than those that depend on traditional human–machine interactive interpretation or object-based approaches. …”
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A critical evaluation of Pure Pursuit, MPC and MPCC: Balancing simplicity, performance and constraints by Kong Xiangyiming, Fisher Callen, Evans Benjamin

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A LIFE EVALUATION METHED FOR FRONT AXLE BASED ON FRONT AXLE DYNAMICS MODEL by FENG Jinzhi, SANG Wuzhuang, ZHANG Dongdong, LI Liangliang, LIU Xinrong, ZHAO Lihui

“…Then, with the goal of minimizing the difference between the damage/life of the front axle and the reference value under each working condition, the adjustment coefficient of the amplitude of the three-way forces at the wheel center was optimized by combining the response surface method and genetic algorithm. …”
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The Evaluation of LSB Steganography on Image File Using 3DES and MD5 Key by Ilham Firman Ashari, Eko Dwi Nugroho, Dodi Devrian Andrianto, M. Asyroful Nur Maulana Yusuf, Makruf Alkarkhi

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Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm by Xin He, Zhijie Song, Yanqun Yang, Siqi Wu, Shuo Meng, Huanyu E, Hongfei Li, Guoyu Ding

“…With the predictive models, the Pareto front was determined by a variant of non-dominated sorting genetic algorithm II(VNSGAII) to provide the optimal prescription set.ResultsThe 6-n-2 three-layers of artificial neural networks demonstrated a satisfactory fitting effect for the nonlinear activity relationship. …”
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Possibility of evaluation of oxygen transport function in PAH patients on effective selexipag-based therapy by E. S. Allakhverdiev, E. A. Rezukhina, O. V. Slatinskaya, O. V. Rodnenkov, G. V. Maksimov, T. V. Martynyuk

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Complete Digital Workflow for Evaluation of the Three‐Dimensional Monson's Sphere Using Digital Scanning by Cheng Wen, Huan Huan Wang, Huo Jia Muhetaer, Fan Xie, Rui Han, Jin Cheng Wu

“…Conclusions This study explores a new best‐fit algorithm for generating 3‐D Monson's sphere by complete digital workflow. …”
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Using Vector Databases for the Selection of Related Occupations: An Empirical Evaluation Using O*NET by Lino Gonzalez-Garcia, Miguel-Angel Sicilia, Elena García-Barriocanal

“…Vector databases offer an opportunity to find related occupations based on large pre-trained word and sentence embeddings and their associated retrieval algorithms for similarity search. This paper reports a systematic empirical evaluation of the possibilities of using vector databases for related occupation retrieval using different document structures, embeddings, and retrieval configurations for two popular open source vector databases, and using the O*NET curated database. …”
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Intelligent Trust Evaluation Method for Underwater Sensor Networks Based on Fuzzy Clustering and Dynamic Weight Allocation by Zhaohui WANG, Guangjie HAN, Jiaxin DU, Chuan LIN, Lei WANG

“…Then, the unsupervised machine learning algorithm, namely fuzzy C-means clustering, was employed to enable adaptive node trust decision-making. …”
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Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League by Vaishnudebi Dutta, Subhomoy Haldar, Prabjot Kaur, Yuvraj Gajpal

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A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources by Jong-Ho Choi, Min-Hyuk Kim, Luan Feng, Chany Lee, Hyun-Kyo Jung

“…To validate the usefulness of the proposed method, comparison between conventional and proposed evaluation metrics was conducted using artificial cortical sources simulated under different noise conditions. …”
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks by Na Fan, Zongtao Duan, Guangyuan Zhu

“…However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. …”
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A Seasonal Fresh Tea Yield Estimation Method with Machine Learning Algorithms at Field Scale Integrating UAV RGB and Sentinel-2 Imagery by Huimei Liu, Yun Liu, Weiheng Xu, Mei Wu, Leiguang Wang, Ning Lu, Guanglong Ou

“…Subsequently, these 26 features were screened using the random forest algorithm and Pearson correlation analysis. Thirdly, we applied six different regression algorithms to establish fresh tea yield models for each season and evaluated their estimation accuracy. …”
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Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning by Michael Neuman, Daoud Burghal, Andreas F. Molisch

“…We also find that, in particular, KNN results can be quantitatively and qualitatively different from CNN/MLP and AE. These investigations thus provide insights into meaningful parameter choices for the performance evaluation of new ML algorithms for frequency-domain channel extrapolation.…”
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Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

“…Then, the quality of the fusion images were evaluated subjectively and objectively. In order to evaluate the applicability of different classification algorithms to the classification, the object-oriented classification algorithm which is based on machine learning algorithm, such as KNN, SVM and Random Trees were used to classify the different GF-2 fusion images. …”
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Optimizing spatial normalization of multisubject inner ear MRI: comparison of different geometry-preserving co-registration approaches by Johannes Gerb, Valerie Kirsch, Emilie Kierig, Thomas Brandt, Marianne Dieterich, Rainer Boegle

“…Abstract Spatial normalization of multisubject inner ear imaging data is challenging, due to both substantial intraindividual differences and the small size of the organ compared to other intracranial structures. …”
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