Clinicopathological and molecular significance of HER2-low expression in Asian women with triple-negative breast cancer by Cuiyan Yang, Haoyu Wang, Yiwei Tong, Zheng Wang, Xi Sun, Anqi Li, Yujie Lu, Mengyuan Han, Siji Zhu, Lei Dong, Kunwei Shen, Xiaosong Chen

“…The evolution of the HER2 testing algorithm has led to the new classification of the HER2-low category, with unclear clinicopathological and molecular features in Asian women with HER2-low TNBC. …”
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A new internal clustering validation index for categorical data based on concentration of attribute values by FU Li-wei, WU Sen

“…The results of cluster analysis are not only related to the nature of the data itself but also to some priori conditions, such as clustering algorithms, similarity/dissimilarity, and parameters. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Finally, unlike traditional approaches that use uniform feature weighting, our proposed variance adaptive AdaBoost (VA-AdaBoost) algorithm uniquely incorporates accelerometer signal variance to adaptively weight samples for feature training. …”
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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand by Guangmei Yang, Guangdong Wang, Leping Wan, Xinle Wang, Yan He

“…To improve computational efficiency, we used three algorithms to develop prediction models, including Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and Light Gradient Boosting Machine (LightGBM) algorithms. …”
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Global air quality index prediction using integrated spatial observation data and geographics machine learning by Tania Septi Anggraini, Hitoshi Irie, Anjar Dimara Sakti, Ketut Wikantika

“…Air pollution can occur in the whole world, with each region having its unique driving factors that contribute to human's health. …”
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Full-Aperture Reflective Remote Fourier Ptychography with Sample Matching by Dayong Wang, Jiahao Meng, Jie Zhao, Renyuan Wang, Yunxin Wang, Lu Rong, Shufeng Lin, Ling Li

“…The high-resolution image is reconstructed by applying the iterative phase retrieval algorithm. The experimental results show that the reconstructed resolution is improved to 2.5×. …”
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Three-Dimensional Time-Series Monitoring of Maize Canopy Structure Using Rail-Driven Plant Phenotyping Platform in Field by Hanyu Ma, Weiliang Wen, Wenbo Gou, Yuqiang Liang, Minggang Zhang, Jiangchuan Fan, Shenghao Gu, Dongsheng Zhang, Xinyu Guo

“…An adaptive sliding window segmentation algorithm was proposed to obtain plots and rows from canopy point clouds. …”
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Alternative method for determining API degrees of petroleum in contaminated soil by FTIR by F.J. Guzmán-Osorio, R.H. Adams, V.I. Domínguez-Rodríguez, C.E. Lobato-García, A. Guerrero-Peña, J.R. Barajas-Hernández, E. Baltierra-Trejo

“…Thus, the determination of API degrees of petroleum extracted from contaminated soil was shown to be viable using FTIR-ATR. The algorithm was developed to fit well for the whole range of crudes, from extra heavy (<10 °API) to super light (>39 °API) crudes. …”
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Comprehensive Approach to Developing Baseline Reference Ranges for Platelet Function by Olga B. Gordeeva, Maria S. Karaseva, Vasily A. Lastovka, Nato D. Vashakmadze, Margarita A. Soloshenko, Gregory V. Revunenkov, Kirill A. Valyalov, Viktor V. Altunin

“…The results of further research may contribute in the development of the algorithm for controlling antiplatelet therapy in patients with contraindications or with genetically determined low sensitivity to thrombocyte aggregation inhibitors based on acetylsalicylic acid.…”
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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis by Qianqian Zhao, Yijie Li, Chunliu Zhao, Ran Dong, Jiaxin Tian, Ze Zhang, Lin Huang, Jingwen Huang, Junhai Yan, Zhitao Yang, Jiangnan Ruan, Ping Wang, Li Yu, Jieming Qu, Min Zhou

“…Twelve machine learning algorithms were independently trained. Their performances were evaluated by receiver operating characteristic (ROC) curves, area under the curve (AUC) values, sensitivity, and specificity. …”
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Load magnitude and location estimation on additively manufactured circular structures using deep learning by Romaine Byfield, Ibrahim Tansel

“…The large nozzle had 280 test cases for 9 categories, while the smaller nozzle had 60 test cases for 5 categories. …”
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Spatial dynamometering of working tools of agricultural implements by V. I. Myalenko, N. A. Marinov

“…Improvement of agricultural tools is impossible without experimental proof and assessments of demand setup while operation. Tools of agricultural machines usually have an asymmetrical geometric shape and are exposed to the spatial system without resultant force. …”
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High-Performance Deployment Operational Data Analytics of Pre-Trained Multi-Label Classification Architectures with Differential-Evolution-Based Hyperparameter Optimization (AutoDE... by Teo Prica, Aleš Zamuda

“…In this differential evolution (DE) optimization use case, we analyze how energy efficiently the DE algorithm performs with different DE strategies and ML models. …”
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Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

“…Experimental results show that the algorithm is feasible and efficient.…”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…In addition, it reduces response time by an average of 44.5%, while maintaining a similar overshoot level to that of the PID controller.…”
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Efficient and systematic calculation of arbitrary observables for the matrix product state excitation ansatz by Jesse J. Osborne, Ian P. McCulloch

“…Although this excitation ansatz has been used quite extensively, a general method for calculating expectation values for these states is lacking in the literature: We aim to fill this gap by presenting a recursive algorithm to calculate arbitrary observables expressed as matrix product operators. …”
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Hybrid vegetation-seawall coastal systems for wave hazard reduction: analytics for cost-effective design from optimized features by Erfan Amini, Reza Marsooli, Somayeh Moazeni, Bilal M. Ayyub

“…However, optimizing hybrid vegetation-seawall solutions to enhance coastal protection while addressing varying risk tolerances is a challenging task. …”
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An Efficient Fine-Grained Access Control Scheme Based on Policy Protection in SGs by Xiaoqing Guo, Huayi Wu, Zhen Qin, Ruonan Ying, Jilai Yang

“…Security analysis demonstrates that the proposed scheme meets the defined security requirements, while performance evaluation indicates that it incurs minimal computational overhead while achieving enhanced privacy protection.…”
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A mathematical model for hybrid-electric propulsion system for regional propeller-driven aircraft by Giuseppe Grazioso, Mario Di Stasio, Fabrizio Nicolosi, Salvatore Trepiccione

“…A powerplant management algorithm enhances adaptability to varying power demands while ensuring a physically consistent solution. …”
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The Agglomeration of Food Services and Their Colocation with Surrounding Complementary Services in the Guangdong–Hong Kong–Macao Greater Bay Area by Yixiao Wang, Xibo Wu, Jian Qin, Xiaoying Zhang, Xiangyu Wang

“…It investigates these issues within the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), utilizing point-of-interest (POI) data, spatial kernel density, the HDBSCAN clustering algorithm, and colocation quotients. The findings are as follows: (1) this research reveals a significant spatial agglomeration of food services near the Pearl River, with notable food clusters across administrative boundaries; (2) Guangzhou, Shenzhen, Foshan, and Dongguan provide a significant quantity of food services, while Hong Kong and Macao feature the highest percentages of foreign cuisine; (3) the colocation between food services and surrounding services is concentrated along the Pearl River; (4) leisure, education, and residential services are key factors attracting the proximity of food services; (5) leisure, education, retail, and tourism services exhibit the strongest attractiveness to Chinese food, while residential and healthcare services are closely linked to the distribution of snacks, and transportation services attract snacks and beverages.…”
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