Quality Management in Software Development by M. D. Birulia

“…The algorithm allows quality experts to build the sequence of actions to eliminate detected defects in the future, understand the situation when it is possible (or impossible) to deploy code, and determine the moment when the software should be transferred to the user. …”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…The model is a structured state-space model designed to process complex time-series data, and improve efficiency through parallel scan algorithm, making it suitable for large-scale three-dimensional data prediction. …”
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Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints by Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris

“…Atom features learned by graph neural networks can be aggregated to compound-level representations using a large spectrum of graph pooling methods. …”
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Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

“…Underwater imaging systems frequently face considerable difficulties in detecting and tracking objects due to image degradation resulting from light scattering, colour distortion, and haze. …”
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Clinical manifestations of familial exudative vitreoretinopathy in children with nucleotide sequence alterations in the FZD4 gene by L. A. Katargina, V. V. Kadyshev, E. V. Denisova, E. A. Geraskina, A. V. Marakhonov, S. A. Garifullina, I. V. Zolnikova, R. A. Zinchenko

“…Nucleotide sequence alterations in the FZD4 gene were detected in 3 patients(16.7 %)from two unrelated families. …”
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Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring by Roberto De Fazio, Ilaria Cascella, Şule Esma Yalçınkaya, Massimo De Vittorio, Luigi Patrono, Ramiro Velazquez, Paolo Visconti

“…An adaptive segmentation algorithm was developed to segment PCG and ECG signals based on their morphological and temporal features. …”
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A novel fusion positioning navigation system for greenhouse strawberry spraying robot using LiDAR and ultrasonic tags by Haoran Tan, Xueguan Zhao, Hao Fu, Minli Yang, Changyuan Zhai

“…However, navigation solutions based on Light Detection and Ranging (LiDAR) Simultaneous Localization and Mapping (SLAM) still face challenges such as mapping distortion caused by crop feature similarity, gradual accumulation of positioning errors, and positioning jumps, which fail to meet the positioning accuracy demands in agricultural robotic operations. …”
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Comparative characteristics of the main phenotypes of systemic sclerosis by R. U. Shayakhmetova, L. P. Ananyeva, M. N. Starovoitova, O. V. Desinova, O. A. Koneva, O. B. Ovsyannikova, L. A. Garzanova, M. V. Cherkasova, R. T. Alekperov

“…Sjo gren’s syndrome was detected in one-third of these patients.Conclusion. …”
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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

“…Oscilloscopic verification confirmed the precision of these stimulation frequencies. Real-time feature extraction was accomplished through the concurrent analysis of maximum Fast Fourier Transform (FFT) amplitude and P300 peak detection to ascertain user intent. …”
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Machine learning identifies 6-gene signature in peripheral blood for pancreatic cancer diagnosis by Francisco Carrillo-Perez, Octavio Caba, Cristina Jiménez-Luna, Francisco Ortuño, Daniel Castillo-Secilla, Luis Javier Herrera, Jose Prados, Ignacio Rojas

“…We analyzed two distinct datasets: extracellular vesicle long RNA (exLR) and peripheral blood mononuclear cell (PBMC) RNA-Seq. Feature selection using the minimum Redundancy Maximum Relevance (mRMR) algorithm, followed by support vector machine (SVM) classification, identified a 15-gene signature derived from the exLR data. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Medical doctors are assisted by computer-aided detection and diagnosis systems systems and methods derived from artificial intelligence deep learning-based systems have to be trained on existing data. …”
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The role of vascularity and the fibrovascular interface in interstitial lung diseases by Jana Dietrich, Alice Kang, Birger Tielemans, Stijn E. Verleden, Hassan Khalil, Florian Länger, Philipp Bruners, Steven J. Mentzer, Tobias Welte, Michael Dreher, Danny D. Jonigk, Maximilian Ackermann

“…Different patterns of pulmonary fibrosis commonly exhibit detectable pathological features such as morphomolecular changes, including intussusceptive and sprouting angiogenesis, vascular morphometry, broncho-systemic anastomoses, and aberrant angiogenesis-related gene expression patterns. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Aim of investigation. To study features of pancreatic involvement in patients with metabolic syndromeMaterial and methods. …”
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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…Context: The progressive neurodegenerative disorder Parkinson’s disease (PD) features diverse symptom presentation that progresses at different speeds and demands effective disease classification with precise patient management. …”
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TERT promoter methylation predicts overall survival, immune cell infiltration and response to immunotherapy in clear cell renal cell carcinoma by Xinyu Guan, Jiahao Meng, Wenjun Yi, Kun Ye, Hongyu Gao, Yue Hong, Limeng Qu, Shirong Ding, Qian Long

“…Methods A single-sample gene-set enrichment analysis algorithm was used to quantify the relative abundance of each type of immune cell infiltration in the tumor microenvironment (TME) of the TCGA KIRC cohort. …”
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A novel method for monitoring Cladophora blooms in Qinghai Lake based on UAV imagery by Juan Zhang, Xiaojun Yao, Xinde Chu, Hongyu Duan, Yuxuan Zhang, Hui Chang, Ju Huang

“…In this study, we propose a new spectral index called the visible band spectral slope index (VSSI) and integrate it with a triangular threshold segmentation algorithm to automatically extract features of Cladophora blooms from very-high-resolution UAV imagery. …”
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Pulsed inhibition of corticospinal excitability by the thalamocortical sleep spindle by Umair Hassan, Prince Okyere, Milad Amini Masouleh, Christoph Zrenner, Ulf Ziemann, Til Ole Bergmann

“…Utilizing a recently developed real-time spindle detection algorithm, we applied spindle phase-triggered transcranial magnetic stimulation (TMS) to the primary motor cortex (M1) hand area to characterize the corticospinal excitability profile of spindles via motor evoked potentials (MEP). …”
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Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin by Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu

“…Additionally, a convolutional neural network‐based deep learning algorithm is implemented to decode the features of guided wave signals and predict the contact location and energy intensity on the robot surface. …”
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A compression method of educational material for special disciplines of technical University by Konstantin P. Baslyk

“…The vertices weight is detected as a time spent on the explanation of element contents. …”
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Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches by H. Banderier, H. Banderier, A. Tuel, T. Woollings, O. Martius, O. Martius, O. Martius

“…</p> <p>First, we apply the self-organizing map (SOM) clustering algorithm to create a 2D distance-preserving discrete feature space for the tropopause-level summer wind field over the North Atlantic. …”
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