Stemness-related gene signatures as a predictive tool for breast cancer radiosensitivity by Jinzhi Lai, Rongfu Huang, Jingshan Huang

“…Immune cell infiltration and pathway enrichment analyses were conducted using ESTIMATE and GSVA methods. The TIDE algorithm and the pRRophetic platform were employed to predict responses to radiotherapy. …”
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Machine learning-driven benchmarking of China's wastewater treatment plant electricity consumption by Minjian Li, Chongqiao Tang, Junhan Gu, Nianchu Li, Ahemaide Zhou, Kunlin Wu, Zhibo Zhang, Hui Huang, Hongqiang Ren

“…To overcome the complexity of wastewater compositions, an unsupervised machine learning algorithm, spectral clustering, is introduced to analyze 2,576 WWTPs across China, effectively characterizing influent quality as a single variable and contributing to robust benchmarks with 75 % of the fittings achieving coefficients of determination (R2) >0.85. …”
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Automation of signal processing of electric field intensity sensors included in information-measuring system by S. S. Kolmogorova, D. S. Baranov, A. S. Kolmogorov, S. V. Biryukov

“…A distinctive feature is the algorithm for processing the readings of sensors in the process of obtaining data. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…The novelty of ZenLDA consists of three main aspects: (1) it converts the commonly used serial Collapsed Gibbs Sampling (CGS) inference algorithm to a Monte-Carlo Collapsed Bayesian (MCCB) estimation method, which is embarrassingly parallel; (2) it decomposes the LDA inference formula into parts that can be sampled more efficiently to reduce computation complexity; (3) it proposes a distributed LDA training framework, which represents the corpus as a directed graph with the parameters annotated as corresponding vertices and implements ZenLDA and other well-known inference methods based on Spark. …”
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Kombinasi Seleksi Fitur Berbasis Filter dan Wrapper Menggunakan Naive Bayes pada Klasifikasi Penyakit Jantung by Siti Roziana Azizah, Rudy Herteno, Andi Farmadi, Dwi Kartini, Irwan Budiman

“…From the implementation of modeling that will be carried out, the highest accuracy value is 91.80% in the Naive Bayes algorithm with a combination of union of Information Gain and Gain Ratio feature selection results using a ratio of training data and test data of 80:20. …”
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Dynamic Analysis of <i>Spartina alterniflora</i> in Yellow River Delta Based on U-Net Model and Zhuhai-1 Satellite by Huiying Li, Guoli Cui, Haojie Liu, Qi Wang, Sheng Zhao, Xiao Huang, Rong Zhang, Mingming Jia, Dehua Mao, Hao Yu, Zongming Wang, Zhiyong Lv

“…The U-Net model, coupled with the Relief-F algorithm, achieved a superior extraction accuracy (Kappa > 0.9 and overall accuracy of 93%) compared to traditional machine learning methods. …”
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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

“…Linear discriminant analysis was the most accurate (74.6%) algorithm with the shortest training time (0.9 s). …”
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Unusual Presentation of Recurrent Early Stage Endometrial Carcinoma 28 Years after Primary Surgery by Alessandro Franchello, Gianruggero Fronda, Giacomo Deiro, Alessia Fiore, Davide Cassine, Luca Molinaro, Luigi Chiusa, Sara Galati, Andrea Resegotti, Stefano Silvestri

“…It is important to keep in mind this possibility in order to set a correct diagnostic and therapeutic algorithm, including preoperative immunohistochemical staining, and to plan a prolonged follow-up program.…”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…Visualization based on PCA, UMAP and ISOMAP methods, as well as the use of clustering algorithms, showed that a linear separation of grain samples with and without pigmentation could be performed with high accuracy based on hyperspectral data. …”
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The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia by Christos Mammides, Pan Wuyuan, Guohualing Huang, Rachakonda Sreekar, Christina Ieronymidou, Aiwu Jiang, Eben Goodale, Harris Papadopoulos

“…Using the Boruta feature selection algorithm and random forest regressors, we find that the effectiveness of the indices varies considerably across study areas, and it is generally lower than what would be required to monitor bird species richness accurately (R2Cyprus = 0.06, R2China = 0.31, R2Australia = 0.52). …”
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The Accuracy of the NSQIP Universal Surgical Risk Calculator Compared to Operation-Specific Calculators by Mark E. Cohen, PhD, Yaoming Liu, PhD, Bruce L. Hall, MD, PhD, MBA, FACS, Clifford Y. Ko, MD, MS, MSHS, FACS

“…For the N-RC, a cohort of 5,020,713 NSQIP patient records were randomly divided into 80% for machine learning algorithm training and 20% for validation. Operation-specific risk calculators (OS-RC) and OS-RCs with operation-specific predictors (OSP-RC) were independently developed for each of 6 operative groups (colectomy, whipple pancreatectomy, thyroidectomy, abdominal aortic aneurysm (open), hysterectomy/myomectomy, and total knee arthroplasty) and 14 outcomes using the same 80%/20% rule applied to the appropriate subsets of the 5M records. …”
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End-to-end dataflow engineering framework of honey manufacturing from intermediates to process by TAS1R2@AuNPs/SPCE biosensor coupled with quality transfer principle by Xiaoyan Hu, Jingqi Zeng, Lijuan Ma, Xiaomeng Wang, Jing Du, Lu Yao, Zhisheng Wu

“…Furthermore, a hypersensitized TAS1R2@AuNPs/SPCE biosensor was developed to identify biological quality attributes of honey, the powerful affinities between honey intermediates and the TAS1R2 receptor were discovered (KD < 1 × 10−8 M), and the abnormal batches of B2, B23 and C23 were diagnosed by TAS1R2@AuNPs/SPCE biosensor and multivariable algorithm. Finally, the end-to-end dataflow containing physical, chemical and biological critical quality attributes was successfully established to interpret the quality transfer principle of honey manufacturing, which revealed that the front-end refining process was relatively unstable and the back-end refining process was a negligible influence on the quality of honey manufacturing. …”
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Geographical origin traceability of kiwifruit products using stable isotope and multi-element analysis with multivariate modeling: Feature extraction, selection of model and variab... by Wang Shuanhui, Chen Chang, Tian Jing, Liu Zhi, Mei Xianxian, Zhou Jialu, Wang Dongguang, Zhu Shaohua

“…Supervised methods, partial least squares-discriminant analysis (PLS-DA) and its derivative algorithm (OPLS-DA), linear discriminant analysis (LDA), enhanced identification performance and finally elevated the accuracies to 100 % for all kiwifruit origins. …”
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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…This study developed an advanced bankruptcy prediction model using Support Vector Machines (SVM), Random Forest (RF), and Artificial Neural Network (ANN) algorithms based on datasets from the UCI machine learning repository. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Nonetheless, the lack of consistent large datasets presents a barrier that prevents these algorithms from progressing and being used in real-world scenarios. …”
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Controlling aluminum casting from stationary furnace by E. S. Kinev, A. A. Tyapin, E. A. Golovenko, Yu. S. Avdulova

“…Regulation of the force and intensity of heating of the induction MHD device is performed by redistributing the linear current load between the phases of the inductor or programming algorithms for separate control of the three-phase IGBT phase modes of the inverter operating at lower frequencies. …”
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Sustainable and smart multi-analyte HPTLC determination of tolperisone HCl together with three pain killers using smartphone camera as a detector: Comparative study with benchtop d... by Mohamed Rizk, Emad Ramzy, Safaa Toubar, Amr M. Mahmoud, Marwa I. Helmy

“…To evaluate the environmental impact and sustainability of the constructed methods and compare them with other published methods reported in the literature, the whiteness of the developed methods utilizing the RGB 12 algorithm combined with the two highly cited greenness assessment metrics, the analytical Eco-scale (AES) and the Analytical GREEnness (AGREE), were employed.…”
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Mind the leaf anatomy while taking ground truth with portable chlorophyll meters by Zuzana Lhotáková, Eva Neuwirthová, Markéta Potůčková, Lucie Červená, Lena Hunt, Lucie Kupková, Petr Lukeš, Petya Campbell, Jana Albrechtová

“…To improve the accuracy of data used for remote sensing algorithm development, we recommend calibration of chlorophyll meter measurements with biochemical assessments, especially for species with anatomy other than laminar dicot leaves. …”
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The nature of self-medication in Uganda: a systematic review and meta-analysis by Danladi Makeri, Priscilla Peter Dilli, Theophilus Pius, Naheem Adekilekun Tijani, Abdullateef Afolabi Opeyemi, Kadai Alhaji Lawan, Shango Patience Emmanuel Jakheng, Reagan Muhwezi, Ambrose Shabohurira, Ibe Michael Usman, Ezera Agwu

“…Methods We searched Scopus, PubMed, and Embase databases, WHO AFRO, UNIPH registries, and Google Scholar search engine from inception to November 2024 using the algorithm “Self-Medication” AND “Uganda”. Twenty-two eligible studies were included while adhering to the preferred reporting items for systematic reviews and meta-analysis (PRISMA). …”
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Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…Existing studies on DDoS detection in SDN-IoT networks often suffer from inefficient detection accuracy due to poor algorithm design and latency issues arising from deploying models in the control plane. …”
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