Diversity of Endolysin Domain Architectures in Bacteriophages Infecting Bacilli by Olga N. Koposova, Olesya A. Kazantseva, Andrey M. Shadrin

“…The increasing number of antibiotic-resistant bacterial pathogens is a serious problem in medicine. Endolysins are bacteriolytic enzymes of bacteriophages, and a promising group of enzymes with antibacterial properties. …”
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DSCW-YOLO: Vehicle Detection from Low-Altitude UAV Perspective via Coordinate Awareness and Collaborative Module Optimization by Qingqi Zhang, Hao Wang, Xinbo Wang, Jiapeng Shang, Xiaoli Wang, Jie Li, Yan Wang

“…This paper proposes an optimized algorithm based on YOLOv11s to address the problem of insufficient detection accuracy of vehicle targets from a drone perspective due to certain scenes involving complex backgrounds, dense vehicle targets, and/or large variations in vehicle target scales due to oblique imaging. …”
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A study on the traceable attribute-based signature scheme provided with anonymous credentials by Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee

“…The signer's identity can be verified through tracing in case of a problem.…”
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Risk factors of hospital mortality in patients with TB/HIV co-infection confined in the penitentiary system by M. E. Vostroknutov, E. V. Dyuzhevа, A. V. Kuznetsovа, O. V. Senko

“…The problem of tuberculosis with concurrent HIV infection is now becoming increasingly important. …”
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Active Power Oscillation Property Classification of Electric Power Systems Based on SVM by Ju Liu, Wei Yao, Jinyu Wen, Haibo He, Xueyang Zheng

“…Nowadays, low frequency oscillation has become a major problem threatening the security of large-scale interconnected power systems. …”
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Probabilistic ranking of plant cultivars: stability explains differences from mean rank by Shayan Tohidi, Sigurdur Olafsson

“…We then apply a feature selection method to identify the best predictors, that is, the stability measures that are most predictive of the differences in the two orders. …”
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Multiclass Incremental Learning for Fault Diagnosis in Induction Motors Using Fine-Tuning with a Memory of Exemplars and Nearest Centroid Classifier by Magdiel Jiménez-Guarneros, Jonas Grande-Barreto, Jose de Jesus Rangel-Magdaleno

“…The presented framework tackles the forgetting problem by storing a representative exemplar set from past data (known faults) in memory. …”
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Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App. by Sundeep Teki, Sukhbinder Kumar, Timothy D Griffiths

“…We investigated this problem by designing a synthetic signal, termed the 'stochastic figure-ground' stimulus that captures essential aspects of complex sounds in the natural environment. …”
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Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer by Boyuan Wang

“…Mushroom poisoning is one of the most serious food safety issues worldwide. Motivated by this problem, this study uses an open-source mushroom dataset and employs several data augmentation approaches to decrease the probability of model overfitting. …”
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Long-Range Imaging through Scattering Media Using Deep Learning by Ying Jin, Cangtao Zhou, Wanjun Dai

“…Imaging through scattering media is an important and challenging problem, and the technology has been used in many fields, such as autonomous driving, industrial inspections, remote sensing imaging, and biomedical imaging. …”
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Digital Cartels and Inequalities: The Role Companies Have in Increasing Income Inequality by Ömer Torlak

“…At least it tries to reduce existing inequalities.The income inequality, which seems to be quite new today, is in fact a social problem since the early capitalist period. It can be said that income inequalities continue to grow in terms of incorporation. …”
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Control of tool wear during turning of parts of construction and road machines in conditions of repair production by Ovsyannikov V.E., Vasiliev V.I.

“…At the same time, repair production uses mainly obsolete equipment and the qualification of machine-tools is often lower than in the manufacture of new products. A significant problem which makes it difficult to provide the required surface quality parameters is the wear of the cutting tool. …”
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Boundary Layer Separation from a Curved Backward-Facing Step Using Improved Delayed Detached-Eddy Simulation by Matthew R. McConnell, Jason Knight, James M. Buick

“…Curved surfaces are a feature of many engineering applications, and as such, the accurate prediction of separation and reattachment from a curved surface is of great engineering importance. …”
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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

“…We show for an idealized problem that sample‐based estimates of the COOs, in conjunction with covariance localization for the sample covariance, can approximate well the true values, but a practical implementation of the transformation for high‐dimensional applications remains a subject for future research. …”
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SAR ship target detection method based on CNN structure with wavelet and attention mechanism. by Shiqi Huang, Xuewen Pu, Xinke Zhan, Yucheng Zhang, Ziqi Dong, Jianshe Huang

“…Although the deep semantic segmentation network has been widely used in the detection of ship targets in recent years, the global information of the image cannot be fully utilized. To solve this problem, a new convolutional neural network (CNN) method based on wavelet and attention mechanism was proposed in this paper, called the WA-CNN algorithm. …”
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Research on Offshore Vessel Trajectory Prediction Based on PSO-CNN-RGRU-Attention by Wei Liu, Yu Cao

“…In busy offshore waters with high vessel density and intersecting shipping lanes, the risk of collisions and accidents is significantly increased. To address the problem of insufficient feature extraction capability of traditional recurrent neural networks (RNNs) in ship trajectory prediction in busy nearshore areas, this paper proposes a hybrid model based on Particle Swarm Optimization (PSO), Convolutional Neural Networks (CNN), Residual Networks, Attention Mechanism, and Gated Recurrent Units (GRU), named PSO-CNN-RGRU-Attention, for ship trajectory prediction. …”
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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…Subsequently, fuzzy theory is utilized for feature-level information fusion, and the variance contribution values of common factors are taken as input parameters for the membership function to identify the fault types of CVT, thus achieving the accurate diagnosis of high-voltage CVT faults. …”
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The Interview and its Intertexts: Staging Princess Diana in a Mediatized Age by Benjamin Poore

“…Recordings of the Panorama programme, and all programmes featuring Bashir, have since been erased from the BBC’s platforms. …”
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State of Methods More Than Mere Words: Applying Linguistic Analysis Methods to Qualitative Projects by Felice D. Billups

“…Researchers employ numerous methods to explore phenomena, but few studies feature linguistic prompts as a primary data collection strategy. …”
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Development of AI-Based Public Safety System with Face Recognition Using CNN and SVM Models in Real-Time by Naila Ratu Alifa, Yana Cahyana, Rahmat Rahmat, Sutan Faisal

“…Sexual crimes are an increasing problem, with many cases difficult to identify due to the limitations of existing surveillance systems. …”
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