High-Level Implicit Enumerations for Quadratic Periodic Train Timetabling with Prioritized Cross-Line Operations by Congcong Zou, Hongxia Lv, Miaomiao Lv, Shaoquan Ni, Qinglun Zhong

“…The results demonstrate that our proposed method can efficiently achieve flexible while recoverable operational times for the cross-line services and the proposed implicit enumeration algorithms significantly outperform the direct linearization, which increases the search space significantly due to the considerable dimensionality of the periodic decision variables involved. …”
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Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease by Tong Feng, PeiPei Li, Ran Duan, Zhi Jin

“…Feature selection was performed with Boruta and least absolute shrinkage and selection operator (LASSO) algorithms, identifying key predictors from demographic, lifestyle, medical history, and laboratory variables. …”
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Differentiating coeliac disease from irritable bowel syndrome by urinary volatile organic compound analysis--a pilot study. by Ramesh P Arasaradnam, Eric Westenbrink, Michael J McFarlane, Ruth Harbord, Samantha Chambers, Nicola O'Connell, Catherine Bailey, Chuka U Nwokolo, Karna D Bardhan, Richard Savage, James A Covington

“…For assay, the specimens were heated to 40 ± 0.1°C and the headspace analysed by Field Asymmetric Ion Mobility Spectrometry (FAIMS). Machine learning algorithms were used for statistical evaluation. Samples were also analysed using Gas chromatography and mass spectroscopy (GC-MS). …”
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Tracing the Evolution and Legacy of Professor A.P. Iofinov’s Scientific School by S. G. Mudarisov, R. R. Kamaletdinov

“…Iofinov’s works and his scientific school have given rise to the development of new algorithms and computer programs essential for automating the control processes of agricultural machinery and forecasting yields. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“… The study is dedicated to the problem of classification of structural and functional development stage of cardiomyocytes derived from the induced pluripotent stem cells with application of the digital image processing methods and machine learning algorithms, in particular, neural networks. Cell regenerative therapy has become one of the most promising treatment options for patients with heart failure. …”
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Hankel Tensor Subspace Representation for Remotely Sensed Image Fusion by Fei Ma, Qiang Qu, Feixia Yang, Guangxian Xu

“…Exactly, traditional matrix-factorization-based algorithms often result in the loss of cubic structure knowledge in hyperspectral data, while deep neural networks are susceptible to noise accumulation and lack of large-scale labeled data. …”
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Investigating the feasibility of utilising bagasse ash and reclaimed asphalt pavement dust in geopolymer mortar by Sajan Sharma, Shailja Bawa

“…A dataset of 331 samples was created for use with machine learning algorithms and served as a benchmark to compare lab-tested compressive strength. …”
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Identification of effective subdominant anti-HIV-1 CD8+ T cells within entire post-infection and post-vaccination immune responses. by Gemma Hancock, Hongbing Yang, Elisabeth Yorke, Emma Wainwright, Victoria Bourne, Alyse Frisbee, Tamika L Payne, Mark Berrong, Guido Ferrari, Denis Chopera, Tomas Hanke, Beatriz Mothe, Christian Brander, M Juliana McElrath, Andrew McMichael, Nilu Goonetilleke, Georgia D Tomaras, Nicole Frahm, Lucy Dorrell

“…These vulnerable and so-called "beneficial" regions were of low entropy overall, yet several were not predicted by stringent conservation algorithms. Consistent with this, stronger inhibition of clade-matched than mismatched viruses was observed in the majority of subjects, indicating better targeting of clade-specific than conserved epitopes. …”
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An ensemble time-embedded transformer model for traffic conflict prediction at RRFB pedestrian crossings by Md Jamil Ahsan, Mohamed Abdel-Aty, B M Tazbiul Hassan Anik, Zubayer Islam

“…Fifty-two hours of video data were collected using portable CCTV cameras and analyzed using computer vision algorithms. A bounding box system was employed to predict vehicle conflict points and collision pairs. …”
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A Novel PNDA-MMNet Model for Evaluating Dynamic Changes in the Brain State of Patients with PTSD During Neurofeedback Training by Peng Ding, Lei Zhao, Anmin Gong, Wenya Nan, Yunfa Fu

“…Results: The proposed model achieves a brain state identification accuracy of 0.7428 ± 0.12 (area under the curve, AUC = 0.84), significantly outperforming conventional algorithms. Interpretations of the model indicate that continuous NFT reduces functional connectivity within the motor cortex, with stronger suppression in the right hemisphere compared to the left. …”
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An End-to-End Solution for Large-Scale Multi-UAV Mission Path Planning by Jiazhan Gao, Liruizhi Jia, Minchi Kuang, Heng Shi, Jihong Zhu

“…However, traditional heuristic algorithms are frequently trapped in local optima, require task-specific manual tuning, and exhibit limited generalization capabilities. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Secondly, we applied a multi-view feature fusion (MVFF) strategy to extract and explore probability and category information embedded in TIPs, employing several machine learning (ML) algorithms coupled with different commonly used sequence-based feature encodings. …”
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Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score by David Seung U Lee, Jung-Hyun Won, Howard Lee

“…By utilizing various ML algorithms, we developed and validated ACS prediction models on 80% and 20% of the dataset, respectively. …”
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Evaluating groundwater potential with the synergistic use of geospatial methods and advanced machine learning approaches by Vicky Anand, Vishnu D. Rajput, Tatiana Minkina, Saglara Mandzhieva, Aastha Sharma, Deepak Kumar, Sunil Kumar

“…For the delineating groundwater potential zones by integrating ML algorithms with Geographic Information System (GIS) tools, offering a novel approach for groundwater resource mapping. …”
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Construction of a Microfluidic Platform for Quantitative Detection of Multiple Fusarium Toxins Based on Upconversion Encoded Microspheres by Shengjie WANG, Yongli YE, Jingdong SHAO, Xiulan SUN, Jiadi SUN

“…It collected images under a dual-wavelength microscope system of the multi-color upconversion fluorescent-coded microspheres and derived the types and contents of toxins through algorithmic analysis of the obtained optical signals. …”
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Linguo-Conceptual Studies of Literary Text: Evolution of Theoretical and Methodological Approaches by I. V. Kononova, T. A. Pruczkikh

“…The  following  aspects  must  be  analyzed:  the criteria for choosing the method of modeling a literary concept, taking into consideration its type; the elaboration of uniform terminology in existing approaches; the development of the algorithms for describing the structure of literary concepts and identifying conceptual dominants  of  authors’  ideospheres.  …”
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A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos by Ziming Wang, Yuxin Hu, Jianwei Yang, Guangyao Zhou, Fangjian Liu, Yuhan Liu

“…Comprehensive experiments have been conducted on the Anti-UAV410 dataset, where the proposed CAMTracker achieves the best performance compared to advanced tracking algorithms, with significant advantages on all the evaluation metrics, including at least 2.40%, 4.12%, 5.43% and 5.48% on precision, success rate, success AUC and state accuracy, respectively.…”
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Theory of Virtual Genre Studies: The Problem of Methodology by Tyukaeva Nadezhda

“…Its primary aim is to introduce the concept of web-idiom as a systemic language variant of the internet environment, encompassing stable grammatical, lexical, and pragmatic patterns adapted to digital spaces (platforms, algorithms, multimodality). The novelty of the study lies in overcoming the polysemy of existing terms and developing a hierarchical model language → web-idiom → web-sociolect, where web-sociolects (e.g., TikTok idiom, Discord slang) are interpreted as platform-conditioned linguistic systems. …”
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Geological structure of central Vietnam by interpretation processing of gravitational survey data using the “COSCAD 3D” computer technology by T. H. Phan, A. V. Petrov, M. Ph. Do, M. G. Lai, T. L. Nguyen

“…To clarify the structural-tectonic scheme of the analysed area and to identify the main fault systems and zoning of the Central Vietnam area by the gravitational field based on classification algorithms.Materials and methods. The objectives were achieved by assessing the total gradient of the gravitational field, analysing the distribution of the field variance and the results of tracing the axes of the gravitational field anomaly. …”
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Machine learning to predict bacteriuria in the emergency department by Johnathan M. Sheele, Ronna L. Campbell, Derick D. Jones

“…These findings suggest that machine learning algorithms could be valuable tools in clinical settings by helping predict culture results and guiding decisions on whether to initiate empiric antibiotic treatment.…”
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