mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. The detected m/z features can be mapped on a van Krevelen diagram according to their H/C and O/C ratios for pattern recognition and to visualize oxidative processes and biochemical transformations. …”
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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

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Mathematical algorithm for the automatic recognition of intestinal parasites. by Alicia Alva, Carla Cangalaya, Miguel Quiliano, Casey Krebs, Robert H Gilman, Patricia Sheen, Mirko Zimic

“…In response to this public health issue, we developed a software based on pattern recognition analysis from microscopi digital images of fecal smears, capable of automatically recognizing and diagnosing common human intestinal parasites. …”
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Non-invasive detection of early retinal neuronal degeneration by ultrahigh resolution optical coherence tomography. by Debbie Tudor, Vedran Kajić, Sara Rey, Irina Erchova, Boris Považay, Bernd Hofer, Kate A Powell, David Marshall, Paul L Rosin, Wolfgang Drexler, James E Morgan

“…Using ultrahigh resolution (UHR) OCT imaging at 800 nm (spectral width 140 nm) we developed a robust method of OCT image analyses, based on spatial wavelet and texture-based parameterisation of the image speckle pattern. …”
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Diatom Frustule-Inspired Bridges: A Fusion of Art, Architecture and Mechanical Design by Mukunda Adhikari, Parvez Alam

“…We take a bioinspired approach to bridge design by computationally imitating and integrating the complex geometrical pattern of diatom frustules into the bridge design. …”
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Clinical assessment of sinonasal papillomas through a correlative Suspicion Index Scale by Aderito De Sousa Fontes, Nelson Urdaneta Lafeé

“…Material and Methods: A cohort of 103 consecutive patients with confirmed histopathological diagnosis of SPs were analyzed during the period 2000-2019, in which the endoscopic and radiological features were evaluated through a bimodal CT/MRM protocol, with whose uncovering a correlative scale of findings was developed that can allow to deduce its diagnosis. …”
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Epsilon negative dynamic coded THz metamaterial beamformer for digital information encryption by Eistiak Ahamed, Rasool Keshavarz, Negin Shariati

“…Achieving the desired encryption hinges on synchronizing two pivotal features: the phase difference and the epsilon shifting of the metamaterials. …”
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Ethnic Economy of Sea Mammal Hunting in Chukotsky District (Chukotka Autonomous Okrug, Russia): Activities of Territorial Neighboring Groups by Oksana P. Kolomiets

“…The article considers some features of present-day economic activity in the form of one traditional subsistence pattern characteristic of Chukotka’s indigenous peoples — sea mammal hunting. …”
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CPG-Based Control of an Octopod Biomimetic Machine Lobster for Mining Applications: Design and Implementation in Challenging Underground Environments by Jianwei Zhao, Haokun Zhang, Mingsong Bao, Boxiang Yin, Yiteng Zhang, Zhen Jiang

“…Central pattern generators (CPGs) have been extensively researched and validated as a well-established methodology for bionic control, particularly within the field of legged robotics. …”
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CD2AP at the junction of nephropathy and Alzheimer’s disease by Milene Vandal, Mohsen Janmaleki, Isabel Rea, Colin Gunn, Sotaro Hirai, Jeff Biernaskie, Justin Chun, Grant Gordon, Andrey Shaw, Amir Sanati-Nezhad, Gerald Pfeffer, Frederic Calon, Minh Dang Nguyen

“…Abstract Polymorphisms in the gene encoding CD2-associated protein (CD2AP) are associated with an increased risk for developing Alzheimer’s disease (AD). Intriguingly, variants in the gene also cause a pattern of kidney injury termed focal segmental glomerulosclerosis. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Accurate drought prediction is crucial for optimizing water resource allocation, safeguarding agricultural productivity, and maintaining ecosystem stability. This study develops a methodological framework for short-term drought forecasting using SPEI time series (1979–2020) and evaluates three predictive models: (1) a baseline XGBoost model (XGBoost1), (2) a feature-optimized XGBoost variant incorporating Pearson correlation analysis (XGBoost2), and (3) an enhanced CPSO-XGBoost model integrating hybrid particle swarm optimization with dual mechanisms of binary feature selection and parameter tuning. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…Specifically, a global context attention network is developed for capturing multiple-scale features, and a local context attention network is designed for specific tasks. …”
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A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI by Hui Qu, Shuairan Zhang, Xuedan Li, Yuan Miao, Yuxi Han, Ronghui Ju, Xiaoyu Cui, Yiling Li

“…SSL improves lesion differentiation by reducing redundancy and enhancing feature diversity. Dynamic feature extraction captures vascular infiltration, aiding preoperative metastasis risk assessment. …”
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Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG by Adam Gyula Nemes, Adam Gyulai, Adam Szarvas, Erno Nemeth, Kristof Tajti, Viktor Toth, Gyorgy Eigner

“…This multimodal approach enhances dataset quality by enabling millisecond-precise alignment between stimulus presentation, cortical activation patterns, and resultant motor behavior—a critical feature lacking in most publicly available motor-related EEG datasets. …”
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Accelerated discovery of near-zero ablation ultra-high temperature ceramics via GAN-enhanced directionally constrained active learning by Wenjian Guo, Fayuan Li, Lingyu Wang, Li'an Zhu, Yicong Ye, Zhen Wang, Bin Yang, Shifeng Zhang, Shuxin Bai

“…The framework employs GAN for data augmentation, symbolic regression for feature weight derivation, and a self-developed EAI function that incorporates input feature importance weighting to quantify bidirectional deviations from zero ablation rate. …”
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Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine by Xuchao Huang, Enmao Wang, Gang Wang, Jiuyuan Fan

“…In this study, we theoretically modelled hydrogen sulphide generation in extremely thick underground coal mines with the +575 level #45 coal seam of Wudong Coal Mine as an example and obtained the on-site hydrogen sulphide emission pattern and spatial distribution features by combining field measurements and computational fluid dynamics simulation. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

“…We further identify the superior performance of DL models in handling sparse feature availability over time compared to traditional machine learning approaches. …”
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Improving epilepsy monitoring using long-term, in-home-bi-modal seizure monitoring device: clinical utilities and obstacles from a pilot study by Jaeso Cho, Young Jun Ko, Young Jun Ko, Yoon Gi Chung, Anna Cho, Hunmin Kim, Hunmin Kim

“…Patients used a wearable device developed for the study, featuring four-channel electroencephalogram and accelerometer sensors. …”
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ACCENTUATION ERROR AS A PHENOMENON OF MODERN COMMUNICATION IN THE INFORMATION SPACE by Iryna A. Kolesnikova

“…Such work is necessary especially in the conditions of artificial bilingualism that has developed in modern Ukraine. Knowledge of foreign languages is a characteristic feature of the 21st century, but knowledge of the mother tongue is a natural attribute for every citizen. …”
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Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review by Yunyun Cheng, Rong Cheng, Ting Xu, Xiuhui Tan, Yanping Bai

“…Since the outbreak of COVID-19, there has been an influx of research on predictive modelling, with artificial intelligence (AI) techniques, particularly machine learning (ML) methods, becoming the dominant research direction due to their superior capability in processing multidimensional datasets and capturing complex nonlinear transmission patterns. We systematically reviewed COVID-19 ML prediction models developed under the background of the epidemic using the PRISMA method. …”
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